Complete Publication

State and Metropolitan Area Data Book: 2006



6th edition



A Statistical Abstract Supplement



U S C E N S U S B U R E A U

Helping You Make Informed Decisions



U.S. Department of Commerce

Economics and Statistics Administration

U.S. CENSUS BUREAU



WEST

AK Alaska



MIDWEST

West North Central East North Central



NORTHEAST

New England Middle Atlantic

VT NH NY New York NJ PA Pennsylvania MA CT MI Michigan ME Maine Vermont New Hampshire Massachusetts RI Rhode Island Connecticut OH Ohio New Jersey West Virginia DE Delaware WV KY Kentucky TN Tennessee MD Maryland VA Virginia NC North Carolina DC District of Columbia



Mountain

ND North Dakota MN Minnesota WI Wisconsin WA Washington



Map of the United States, Showing Census Regions and Divisions

Pacific

OR Oregon



MT Montana NE Nebraska WY Wyoming KS Kansas NV Nevada CA California CO Colorado OK Oklahoma AZ Arizona NM New Mexico TX Texas AR Arkansas UT Utah MO Missouri IL Illinois IA Iowa IN Indiana



SD South Dakota



ID Idaho



SC MS Mississippi GA Georgia South Carolina



AL Alabama

LA Louisiana



HI Hawaii



Florida FL



LEGEND



West South Central



East South Central



South Atlantic



WEST

Census Region Census Division



Pacific



SOUTH



Source: U.S. Census Bureau



Features

Page

x xii 3 120 188 270 A–1 B–1 C–1 D–1 E–1 I–1 Guide to Tabular Presentation Major Federal Data Contacts State Tables Metropolitan Area Tables Metropolitan Area With Component Counties Tables Micropolitan Area Tables Source Notes and Explanations Limitations of the Data and Methodology Geographic Concepts and Codes Guide to State Statistical Abstracts and State Information State and Metropolitan Area Ranking Tables Subject Index



You may visit us on the Web at http://www.census.gov/compendia/smadb



Features



ACKNOWLEDGMENTS

Glenn W. King, Chief of the Statistical Compendia Branch, was responsible for the technical supervision and coordination of this volume, with the assistance of Aonghas M. St. Hilaire. Myra D. Smith was responsible for text preparation and processing of state tables. Kathleen P. Denton was responsible for text preparation and processing of metro tables. Kathleen A. Siemer was responsible for computer operations and data processing. Assisting with data compilation and review was Kristen M. Iversen. Data entry and other support activities were provided by Connie J. Nadzadi and Daphanie M. Smallwood. Connie J. Nadzadi was responsible for the coding and preparation of all tables for printing. Subject development and analytical review were provided by Lars B. Johanson, Rosemary E. Clark, Richard P. Kersey, Stacey M. Lowe, and Jean F. Mullin. Maps were designed and produced by Connie Beard and Jessica Dobrowolski of the Cartographic Operations Branch within the Geography Division. Michael T. Browne, Wanda K. Cevis, and Linda Chen of the Administrative and Customer Services Division, Walter C. Odom, Chief, provided publications and printing management, graphics design and composition, and editorial review for print and electronic media. General direction and production management were provided by James R. Clark, Assistant Division Chief. The cooperation of many contributors to this volume is gratefully acknowledged. The source notes below each table and in Appendix A credit the various government and private agencies that have furnished information for the State and Metropolitan Area Data Book. In a few instances, contributors have requested that their data be designated as subject to copyright restrictions as indicated in the source notes. Permission to use copyright material should be obtained directly from the copyright owner.



State and Metropolitan Area Data Book: 2006



6th Edition



Issued July 2006



U.S. Department of Commerce Carlos M. Gutierrez, Secretary David A. Sampson, Deputy Secretary Economics and Statistics Administration Vacant, Under Secretary for Economic Affairs



U.S. CENSUS BUREAU Charles Louis Kincannon, Director



SUGGESTED CITATION U.S. Census Bureau, State and Metropolitan Area Data Book: 2006 (6th edition). Washington, DC, 2006.



ECONOMICS AND STATISTICS ADMINISTRATION



Economics and Statistics Administration Vacant, Under Secretary for Economic Affairs



U.S. CENSUS BUREAU Charles Louis Kincannon, Director Hermann Habermann, Deputy Director and Chief Operating Officer

Ted A. Johnson, Associate Director for Administration and Chief Financial Officer Walter C. Odom, Chief, Administrative and Customer Services Division



U.S. GOVERNMENT PRINTING OFFICE OFFICIAL EDITION NOTICE This is the official U.S. Government edition of this publication and is herein identified to certify its authenticity. The Superintendent of Documents of the U.S. Government Printing Office requests that any reprinted edition clearly be labeled as a copy of the authentic work. Use of the 0-16 ISBN prefix is for U.S. Government Printing Office official editions only. ISBN: 0-16-076304-5 NATIONAL BIBLIOGRAPHY OF U.S. GOVERNMENT PUBLICATIONS State and Metropolitan Area Data Book: 2006—6 ed. Includes index. ISBN 0-16-076304-5 ISBN 978-0-16-076304-5 ISSN 0276-6566 1. United States—Statistics. I. United States. Census Bureau. HA 202.S84 2006 317.3 Library of Congress Card No. 80-600018 http://purl.access.gpo.gov/GPO/



For sale by Superintendent of Documents, U.S. Government Printing Office Internet: ; Phone: toll-free 1-866-512-1800; DC area 202-512-1800; Fax: 202-512-2250; Mail: Stop SSOP, Washington, DC 20402-0001



Preface

The State and Metropolitan Area Data Book (SMADB), published periodically since 1979, is a local area supplement to the Statistical Abstract of the United States. This 2006 edition is the sixth in the series. Earlier editions were published in 1979, 1982, 1986, 1991, and 1997–98. The SMADB is a convenient summary of statistics on the social and economic structure of the states, metropolitan areas, and micropolitan areas in the United States. It is designed to serve as a statistical reference and guide to other data publications and sources. The latter function is served by the source citations appearing below each table and in Appendix A, Source Notes and Explanations. This volume includes a selection of data from many statistical publications and electronic sources, including most of the federal statistical agencies, nonprofit organizations, and private businesses in some cases. Publications and Internet sites listed as sources usually contain additional detail and more comprehensive discussions of definitions and concepts than can be presented here. Data not available in printed publications issued by the contributing agency but obtained from Web sites are identified in the source notes using the ‘‘Suggested Citation Styles for our Internet Information’’ found on the Census Bureau’s Web site at . More information on the subjects covered in the tables so noted may generally be obtained from the source, including more methodological information about how the numbers are collected or produced. Changes in this edition. The major change in this edition is in the metropolitan area concept itself. Over time, the concept and nomenclature for metropolitan areas has changed from the original 1910 ‘‘metropolitan districts’’ to what was called standard metropolitan area in 1949 to standard metropolitan statistical areas, or SMSAs, in 1959. SMSAs lasted until 1983, when a new set of acronyms and concepts such as MSA, CMSA, PMSA, and NECMAs came into existence. These lasted until the recent Office of Management and Budget announcement effective June 6, 2003, created the current metropolitan and micropolitan statistical areas. For information about this announcement, see our Appendix C on Geographic Concepts and Codes. Tables B and C cover the metropolitan areas, while Table D presents micropolitan areas. Information for states has been expanded substantially in comparison with the prior edition. There is extensive information from the Census Bureau’s new American Community Survey on topics such as households, marital status, mobility, language spoken at home, foreign born, educational attainment, income, poverty, and housing State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



characteristics that updates many statistics previously only available from the decennial census. There is an interesting, brand-new table with cost-of-living indicators that consolidates many variables in this area. Health data has been expanded to cover many of the key indicators such as obesity, drug use, and alcohol use. Election results from 2004 are also included. We made a special effort to include material from the 2002 Economic Census for retail and accommodation and food services and also the latest population estimates. To help highlight all this information, you will find a Rankings section in this publication and on our Web site at . In order to help users understand more about the data, we have a new appendix B, entitled Limitations of the Data and Methodology. You will find descriptions about the survey universe and frequency, along with some basic information about the data collection operation and sampling and nonsampling errors, if applicable. Sources of additional information and Web links to that information are also included. States. Data are presented for the United States, the 50 states, and the District of Columbia. 1,539 data items are presented for these areas in tables A-1 through A-87. The states and the District of Columbia are presented in alphabetic order under the U.S. total. Metropolitan areas and metropolitan divisions. Data are presented for the 390 metropolitan areas and metropolitan divisions defined as of January 1, 1992, as well as the United States, the 50 states, and the District of Columbia. 139 data items are presented for these areas in tables B-1 through B-11. Metropolitan areas and metropolitan divisions with their county components. Data are presented for 46 data items in tables C-1 through C-4. The counties and county equivalents are presented under their respective metropolitan area or metropolitan division. Micropolitan areas. Data are presented in table D-1 covering 13 variables and 575 areas. Appendixes. Appendix A presents a discussion of source notes and explanations for the data items in tables A through D. Appendix B covers data collection and methodological information for the first time in this publication. Appendix C presents a discussion of the geographic concepts and codes relevant to this volume, as well as the current definitions for metropolitan areas. v



For additional information on data presented, please consult the source publications available in local libraries, write to the agency indicated in the source notes, or visit the Internet site listed. Contact the Census Bureau only if it is cited as the source. Statistics for the nation. Extensive data at the national level can be found in the Statistical Abstract of the United States: 2006, an annual national data book, released each fall. U.S.A. Statistics in Brief, a pocket-size pamphlet highlighting many statistical series in the Abstract, is available separately; single copies of this pamphlet can be obtained



free from the U.S. Census Bureau, Customer Services Center, Washington, DC 20233 (telephone 301-763-4100). The Statistical Abstract and U.S.A. Statistics in Brief may be on our Web site at . Statistics for counties and cities. Data for counties and cities may be found in the County and City Data Book 2000 or the U.S.A. Counties database on our Web site at and .



State and Metropolitan Area Data Book User Survey—inserted in this edition is the first user survey in order to ask you for suggestions on various aspects of the SMADB. Your input will help us to maintain the usefulness of the Compendia program. If the questionnaire is missing and you would like to participate in the survey, you may obtain one on the SMADB Web site at .



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State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Contents

Page Preface. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .v Guide to Tabular Presentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .x Major Federal Data Contacts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .xii States A-1. A-2. A-3. A-4. A-5. A-6. A-7. A-8. A-9. A-10. A-11. A-12. A-13. A-14. A-15. A-16. A-17. A-18. A-19. A-20. A-21. A-22. A-23. A-24. A-25. A-26. A-27. A-28. A-29. A-30. A-31. A-32. A-33. A-34. A-35. A-36. A-37. A-38. A-39. Area and Population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .3 Population by Residence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4 Population Projections . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5 Population by Age Group and Sex . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .7 Population by Race and Hispanic Origin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9 Households . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .11 Marital Status: 2003 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .12 Residence One Year Ago, Immigrants, and Language Spoken at Home. . . . . . . . . . . . . . . . . . . . . .13 Place of Birth: 2003 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .14 Live Births and Birth Rates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .15 Births and Birth Rates by Race and Hispanic Origin and Fertility Rate: 2002. . . . . . . . . . . . . . . .16 Deaths and Death Rates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .17 Death Rates by Cause: 2002 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .19 Marriages and Divorces—Number and Rate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .20 Community Hospitals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .21 Health Care Services, Physicians, and Nurses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .22 Persons With and Without Health Insurance Coverage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .23 Health Conditions and Chronic Disease-Related Characteristics and Diabetes. . . . . . . . . . . . . .24 State Public Health, Children Immunized, and STDs and AIDS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .25 Public School Fall Enrollment. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .27 Public Elementary and Secondary Schools—Finances and Teachers . . . . . . . . . . . . . . . . . . . . . . . . .28 Public High School Graduates and Educational Attainment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .29 Institutions of Higher Education . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .30 Degree-Granting Institutions and Educational Services . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .31 Crimes and Crime Rates. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .32 Juvenile Arrests, Child Abuse Cases, and Prisoners . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .34 State and Local Justice System and State Prisons . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .35 Civilian Labor Force and Employment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .37 Civilian Labor Force and Unemployment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .39 Employed Civilians by Occupation: 2003. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .40 Private Industry Employment and Pay . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .41 Industry Employment and Pay . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .42 Union Membership . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .44 Median Income of Households in Constant (2003) Dollars and Distribution by Income Level . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .45 Median Income of Families in Constant (2003) Dollars and Distribution by Income Level . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .46 Poverty Status of Families and Individuals in the Past 12 Months . . . . . . . . . . . . . . . . . . . . . . . . . . .47 Housing—Units and Characteristics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .48 Specified Owner- and Renter-Occupied Units—Value and Gross Rent . . . . . . . . . . . . . . . . . . . . . . .49 Housing Starts, Sales, Vacancy Rates, and Ownership . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .50



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Page States—Con. A-40. A-41. A-42. A-43. A-44. A-45. A-46. A-47. A-48. A-49. A-50. A-51. A-52. A-53. A-54. A-55. A-56. A-57. A-58. A-59. A-60. A-61. A-62. A-63. A-64. A-65. A-66. A-67. A-68. A-69. A-70. A-71. A-72. A-73. A-74. A-75. A-76. A-77. A-78. A-79. A-80. A-81. A-82. A-83. A-84. A-85. A-86. A-87. Cost of Living Indicators—Housing, Hospital Stays, Public University, Utilities, Gasoline, and Tax Rates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .51 Gross State Product in Current and Real (2000) Dollars and by Selected Large Industry . . .54 Personal Income . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .56 Personal Income Per Capita . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .58 Earnings by Industry: 2004 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .60 Science and Engineering Indicators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .62 Employer Firm Births and Terminations and Business Bankruptcies . . . . . . . . . . . . . . . . . . . . . . . . .64 Employer Firms and Nonemployer Establishments. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .66 Private Nonfarm Establishments, Employment, and Payroll . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .67 Foreign Direct Investment in the United States, and U.S. Exports . . . . . . . . . . . . . . . . . . . . . . . . . . .68 Farms and Farm Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .69 Farm Finances and Income . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .70 Farm Marketings and Principal Commodities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .72 Agricultural Census . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .73 Natural Resource Industries and Minerals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .75 Utilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .76 Energy Consumption . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .79 Energy Expenditures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .80 Construction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .81 Manufactures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .82 Manufactures Summary and Export-Related Shipments and Employment. . . . . . . . . . . . . . . . . . .84 Major Manufacturing Sectors: 2003 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .85 Wholesale and Retail Trade and Shopping Centers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .86 Retail Sales. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .87 Transportation and Warehousing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .90 Trucks Registered and Commodity Transportation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .91 Motor Vehicle Registrations, Motorcycle Registrations, Highway Mileage, Bridges, and Driver’s Licenses. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .92 Traffic Fatalities and Shoulder Belt Use . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .94 Communications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .95 Information Industries and Newspapers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .96 Financial Activities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .97 Professional and Business Services and Education and Health Services . . . . . . . . . . . . . . . . . . . . .99 Leisure and Hospitality Services . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .100 Travel and Tourism Indicators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .101 Government . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .102 State Government Employment and Finances. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .103 State Resources, Expenditures, and Balances . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .105 State Government Tax Collections: 2004, and Federal Aid to State and Local Governments. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .106 Federal Government . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .108 Federal Individual Income Tax Returns . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .109 Social Security, Food Stamps, and School Lunch Programs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .110 Social Welfare Programs and Workers’ Compensation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .111 Government Transfer Payments to Individuals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .112 Medicare, Medicaid, and State Children’s Health Insurance Program . . . . . . . . . . . . . . . . . . . . . .113 Department of Defense and Veterans . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .114 Elections. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .115 Composition of Congress . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .116 Composition of Governors and State Legislatures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .117



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Page Metropolitan Areas B-1. B-2. B-3. B-4. B-5. B-6. B-7. B-8. B-9. B-10. B-11. Area and Population . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .120 Components of Population Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .126 Population by Age, Race, and Sex. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .132 Population Characteristics 2000 Census. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .138 Births, Deaths, Infant Deaths. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .144 Physicians, Community Hospitals, Medicare, Social Security, and SSI . . . . . . . . . . . . . . . . . . . . . .150 Housing Units and Building Permits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .156 Personal Income and Earnings by Industry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .162 Labor Force and Private Business Establishments and Employment . . . . . . . . . . . . . . . . . . . . . . . .168 Banking, Retail Trade, and Accommodation and Food Services . . . . . . . . . . . . . . . . . . . . . . . . . . . .174 Government . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .180



Metropolitan Areas With Component Counties C-1. C-2. C-3. C-4. Population and Population Characteristics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .188 Population Characteristics and Housing Units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .208 Personal Income and Earnings by Industry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .228 Civilian Labor Force and Private Nonfarm Businesses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .248



Micropolitan Areas D-1. Population and Personal Income. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .270



Appendixes A. B. C. D. E. Source Notes and Explanations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .A–1 Limitations of the Data and Methodology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .B–1 Geographic Concepts and Codes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .C–1 Guide to State Statistical Abstracts and State Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .D–1 Ranking Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .E–1 State Rankings Table E-1. Area and Population . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .E–2 Table E-2. Population Projections . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .E–3 Table E-3. Population by Age Group . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .E–4 Table E-4. Median Income of Households and Families in Constant (2003) Dollars . . . .E–5 Table E-5. Poverty Status of Families and Individuals in the Past 12 Months . . . . . . . . . . .E–6 Table E-6. Value and Gross Rent of Specified Owner- and Renter-Occupied Units, Homeownership Rates, Vacancy Rates, and Housing Prices . . . . . . . . . . . . . . . .E–7 Table E-7. Cost of Living Indicators—Utilities, Gasoline, and Tax Rates. . . . . . . . . . . . . . . . .E–8 Table E-8. Population by Residence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .E–9 Table E-9. Population by Race and Hispanic Origin—Percent of Total: 2004 . . . . . . . . . . . .E–9 Table E-10. Persons With and Without Health Insurance Coverage: 2003 . . . . . . . . . . . . . .E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .E–10 Table E-12. Social Insurance, Human Services, Medicare, Medicaid, and State Children’s Health Insurance Program: 2003. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .E–11 Metropolitan Area Rankings Table E-13. Population Indicators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .E–12 Table E-14. Population Characteristics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .E–17 Table E-15. Social and Housing Indicators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .E–22 Table E-16. Economic Indicators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .E–27 Table E-17. Business and Federal Funds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .E–32



Subject Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .I–1 State and Metropolitan Area Data Book: 2006

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Guide to Tabular Presentation

EXAMPLE OF TABLE STRUCTURE FROM:



Table A-78. States — Federal Government

Nonfarm employment (BLS)1 (1,000) Geographic area Direct payments for individuals Grants to state and local government 435,050 6,649 3,022 7,235 4,541 51,329 Federal earnings (BEA)2 (mil. dol.) Total (mil. dol.) Federal funds and grants Selected object categories, 2003 (mil. dol.)



Civilian



Military



Defense, 2003



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California

1 2 3 3



2003

3



2000

3



2004 223,754 4,031 1,395 3,981 1,522 20,080



2003 219,213 4,009 1,338 3,681 1,474 19,849



2001 201,864 3,681 1,239 3,292 1,368 18,596



2004 117,323 1,933 1,575 2,021 890 13,004



2003 109,607 1,831 1,405 1,891 823 12,322



2001 84,859 1,338 1,108 1,399 525 9,995



2003



2000



Percent 14.9 21.4 29.0 26.2 7.9 17.9



Per capita (dol.)



Salaries and wages 207,293 3,224 1,617 3,335 1,339 20,611



2,728.0 51.1 17.1 50.9 20.8 250.2



2,761.0 50.3 17.1 50.5 21.0 255.4



2,865.0 53.4 17.1 48.7 22.4 272.9



2,009,585 1,604,670 36,871 7,944 37,801 18,340 219,706 29,250 5,963 29,282 14,847 175,967



1,030 1,073,228 1,757 3,556 1,771 530 1,106 19,930 1,625 18,675 11,596 110,716



. . . . .



. . . . .



. . . . .



. . . . .



. . . . .



. . . . .



. . . . .



. . . . .



. . . . .



. . . . .



. . . . .



Bureau of Labor Statistics. Bureau of Economic Analysis. United States totals differ from the sum of the state figures because of differing benchmarks among states and differing industrial and geographic stratification.



Survey, Census, or Data Collection Method: Employment—Based on the Current Employment Statistics (CES) survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Earnings—Based on the Regional Economic Information System; for information, see Internet site ; Federal funds and grants—Based on information systems in various federal government agencies; for information, see Internet site . Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, and see Internet site ; Federal funds and grants—U.S. Census Bureau, Consolidated Federal Funds Report, annual, see Internet site .



Unit indicators show the specified quantities in which data items are presented. They are used for two primary reasons. Sometimes data are not available in absolute form. Other times, we round the numbers in order to save space to show more data, as in the case above. If no unit indicator is shown, data presented are in absolute form (see Table B-1 for an example). When needed,



unit indicators are found in the column or spanner headings for the data items as shown above. Footnotes below the bottom rule of table pages give information relating to specific data items or figures within the table.



Examples of Unit Indicator Interpretation From Table



Geographic area



Year



Item



Unit indicator



Number shown 2,728.0 2,009,585



Multiplier 1,000 $1,000,000



United States . . . . . . . . . . . . . . 2004 . . . . . . . . . . . . . Nonfarm employment . . . . . . . . . . . . (1,000) . . . . . . . . . . . United States . . . . . . . . . . . . . . 2003 . . . . . . . . . . . . . Federal funds and grants . . . . . . . . . (mil. dol.) . . . . . . . . .



To Determine the Figure, It Is Necessary to Multiply the Number Shown by the Unit Indicator Nonfarm employment, 2004 = 2,728.0 * 1,000 or 2,728,000 (over 2 million). Federal funds and grants, 2003 = 2,009,585 * 1,000,000 or 2,009,585,000,000 (over 2 trillion dollars). In many tables, details will not add to the totals shown because of rounding.



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EXPLANATION OF SYMBOLS AND TERMS The following symbols, used in the tables throughout this book, are explained in condensed form in footnotes on the tables where they appear. – B D NA S Represents zero or rounds to less than half the unit of measurement shown. Base figure too small to meet statistical standards for reliability of a derived figure. Figure withheld to avoid disclosure pertaining to a specific organization or individual. Data not enumerated, tabulated, or otherwise available separately. Figure does not meet publication standards for reasons other than that covered by symbol B, above. Figure not applicable because column heading and stub line make entry impossible, absurd, or meaningless. Entry would amount to less than half the unit of measurement shown.



as income, taxes, or retail sales) and dividing it by the number of persons in the specified population. Ranks. Various data items in Table A, States and Table B, Metropolitan Areas of this publication are ranked from highest to lowest with a rank of 1 representing the highest rank. In both tables, when areas share the same rank, the next lower rank is omitted. In Table A, only the 50 states are ranked; the District of Columbia is not included in the state rankings. In Table B, only 361 metropolitan statistical areas (MSAs) are ranked. Not ranked are the 29 metropolitan divisions, which make up 11 metropolitan statistical areas. Areas not ranked are indicated by an ‘‘X’’ in the data cell. Index numbers. An index number is a measure of difference or change, usually expressed as a percent, relating one quantity (the variable) of a specified kind to another quantity of the same kind. Index numbers are widely used to express changes in prices over periods of time but may also be used to express differences between related subjects for a single point in time. To compute a price index, a base year or period is selected. The base year price (of the commodity or service) is then designated as the base or reference price to which the prices for other years or periods are related. Many price indexes use the year 2000 as the base year; in tables, this is shown as ‘‘2000=100.’’ A method of expressing the price relationship is: The price of a set of one or more items for a related year (e.g., 1990) divided by the price of the same set of items for the base year (e.g., 2000). The result multiplied by 100 provides the index number. When 100 is subtracted from the index number, the result equals the percent change in price from the base year. Current and constant dollars. Statistics in some tables are expressed in both current and constant dollars (see, for example, Table A-42). Current dollar figures reflect actual prices or costs prevailing during the specified year(s). Constant dollar figures are estimates representing an effort to remove the effects of price changes from statistical series reported in dollar terms. In general, constant dollar series are derived by dividing current dollar estimates by the appropriate price index for the appropriate period (for example, the Consumer Price Index). The result is a series as it would presumably exist if prices were the same throughout, as in the base year; in other words, as if the dollar had constant purchasing power. Any changes in this constant dollar series would reflect only changes in real volume of output, income, expenditures, or other measure.



X



Z



The following terms are also used throughout this publication: Averages. An average is a single number or value that is often used to represent the ‘‘typical value’’ of a group of numbers. It is regarded as a measure of ‘‘location’’ or ‘‘central tendency’’ of a group of numbers. The arithmetic mean is the type of average used most frequently. It is derived by summing the individual item values of a particular group and dividing the total by the number of items. The arithmetic mean is often referred to simply as the ‘‘mean’’ or ‘‘average.’’ The median of a group of numbers is the middle number or value when each item in the group is arranged according to size (lowest to highest or vice versa); it generally has the same number of items above it as well as below it. If there is an even number of items in the group, the median is taken to be the average of the two middle numbers. Rates. A rate is a quantity or amount of an item measured in relation to a specified number of units of another item. For example, unemployment rate is the number of unemployed persons per 100 persons in the civilian labor force. Examples of other rates found in this publication include birth rate, which is the number of births per 1,000 population; infant death rate, the number of infant deaths per 1,000 live births; and crime rate, which is the number of serious offenses per 100,000 population. A per capita figure represents a specific type of rate computed for every person in a specified group (or population). It is derived by taking the total for a data item (such



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Major Federal Data Contacts

To help State and Metropolitan Area Data Book users find more data and information about statistical publications, we are issuing this list of contacts for federal agencies with major statistical programs. The intent is to give a single, first-contact point of entry for users of statistics. These agencies will provide general information on their statistical programs and publications, as well as specific information on how to order their publications. We are also including the Internet (World Wide Web) addresses for many of these agencies. These URLs were current in September 2005. Executive Office of the President Office of Management and Budget Administrator Office of Information and Regulatory Affairs Office of Management and Budget 725 17th Street, NW Washington, DC 20503 Information: 202-395-3080 Internet address: http://www.whitehouse.gov/omb Department of Agriculture Economic Research Service U.S. Department of Agriculture 1800 M St., NW Room North 3050 Washington, DC 20036-5831 Information and Publications: 202-694-5050 Internet address: http://www.ers.usda.gov/ National Agricultural Statistics Service U.S. Department of Agriculture 1400 Independence Ave., SW Room 5829 Washington, DC 20250 Information hotline: 1-800-727-9540 Internet address: http://www.nass.usda.gov/ Department of Commerce U.S. Census Bureau Customer Services Branch Washington, DC 20233 Information and Publications: 301-763-4636 Internet address: http://www.census.gov/ Bureau of Economic Analysis U.S. Department of Commerce Washington, DC 20230 Information and Publications: 202-606-9900 Internet address: http://www.bea.gov/ Department of Commerce—Con. International Trade Administration Trade Statistics Division Office of Trade and Economic Analysis Room 2814 B Washington, DC 20230 Information and Publications: 202-482-2185 Internet address: http://www.ita.doc.gov/ Department of Defense Department of Defense Office of the Assistant Secretary of Defense (Public Affairs) Room 3A750 Attention: Directorate for Public Communications 1400 Defense Pentagon Washington, DC 20301-1400 Information: 703-697-5737 Internet address: http://siadapp.dior.whs.mil/index.html Department of Education National Center for Education Statistics U.S. Department of Education 400 Maryland Avenue, SW Washington, DC 20202-5621 Education Information and Statistics: 1-800-424-1616 Education Publications: 1-877-433-7827 Internet address: http://www.ed.gov/ Department of Energy Energy Information Administration National Energy Information Center U.S. Department of Energy 1000 Independence Ave., SW 1E238-EI-30 Washington, DC 20585 Information and Publications: 202-586-8800 Internet address: http://www.eia.doe.gov/



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Department of Health and Human Services Health Resources and Services Administration HRSA Office of Communications 5600 Fishers Lane Room 14-45 Rockville, MD 20857 Information Center: 301-443-3376 Internet address: http://www.hrsa.gov/ Substance Abuse Mental Health Services Administration U.S. Department of Health and Human Services 5600 Fishers Lane Room 12-105 Rockville, MD 20857 Information: 301-443-4795 Publications: 1-800-729-6686 Internet address: http://www.samhsa.gov/ Centers for Disease Control and Prevention Office of Public Affairs 1600 Clifton Road, NE Atlanta, GA 30333 Public Inquiries: 1-800-311-3435 Internet address: http://www.cdc.gov/ Centers for Medicare and Medicaid Services (CMS) Office of Public Affairs U.S. Department of Health and Human Services Humphrey Building 200 Independence Ave., SW Room 303D Washington, DC 20201 Media Relations: 202-690-6145 Internet address: http://www.cms.gov/ National Center for Health Statistics U.S. Department of Health and Human Services Centers for Disease Control and Prevention National Center for Health Statistics Data Dissemination Branch 6525 Belcrest Rd. Room 1064 Hyattsville, MD 20782 Information: 301-458-INFO Internet address: http://www.cdc.gov/nchs Administration for Children and Families 370 L’Enfant Promenade, SW Washington, DC 20201 Information and Publications: 202-401-2337 Internet address: http://www.acf.hhs.gov/



Department of Homeland Security Bureau of Citizenship and Immigration Services U.S. Department of Homeland Security 425 I St., NW Room 4034 Washington, DC 20536 Information and Publications: 202-305-1613 Internet address: http://www.uscis.gov/graphics/ Department of the Interior Geological Survey Earth Science Information Center Geological Survey U.S. Department of the Interior 507 National Center Reston, VA 20192 Information and Publications: 1-888-275-8747 Internet address for minerals: http://minerals.usgs.gov/ Internet address for other materials: http://ask.usgs.gov/ National Park Service WASO-TNT P.O. Box 25287 Denver, CO 80225-0287 Information and Publications: 303-751-3727 Internet address: http://www2.nature.nps.gov/ Department of Justice Bureau of Justice Statistics Statistics Division 810 7th St., NW 2nd Floor Washington, DC 20531 Information and Publications: 202-307-0765 Internet address: http://www.ojp.usdoj.gov/bjs/ National Criminal Justice Reference Service Box 6000 Rockville, MD 20849-6000 Information and Publications: 301-519-5500 Publications: 1-800-732-3277 Internet address: http://www.ncjrs.org/ Federal Bureau of Investigation U.S. Department of Justice J. Edgar Hoover FBI Building 935 Pennsylvania Ave., NW Washington, DC 20535-0001 National Press Office: 202-324-3000 Information and Publications: 202-324-3691 Research and Communications Unit: 202-324-5611 Internet address: http://www.fbi.gov/



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U.S. Census Bureau



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Department of Labor Bureau of Labor Statistics Office of Publications and Special Studies Services Division of Information Bureau of Labor Statistics 2 Massachusetts Ave., NE Room 2850 Washington, DC 20212 Information and Publications: 202-691-5200 Internet address: http://www.bls.gov/ Department of Transportation Bureau of Transportation Statistics 400 7th St., SW, Room 3430 Washington, DC 20590 Products: 202-366-3282 Statistical Information: 1-800-853-1351 Internet address: http://www.bts.gov/ Federal Highway Administration Office of Public Affairs Federal Highway Administration U.S. Department of Transportation 400 7th St., SW Washington, DC 20590 Information: 202-366-0660 Internet address: http://www.fhwa.dot.gov/ National Highway Traffic Safety Administration Office of Public and Consumer Affairs U.S. Department of Transportation 400 7th St., SW Washington, DC 20590 Information: 202-366-4000 Publications: 202-366-8892 Internet address: http://www.nhtsa.dot.gov/ Department of the Treasury Internal Revenue Service Statistics of Income Division Internal Revenue Service P.O. Box 2608 Washington, DC 20013-2608 Information and Publications: 202-874-0410 Internet address: http://www.irs.gov/taxstats/index.html Department of Veterans Affairs Department of Veterans Affairs Office of Public Affairs Department of Veterans Affairs 810 Vermont Ave., NW Washington, DC 20420 Information: 202-273-5400 Internet address: http://www.va.gov/



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xiv



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



States

Page

Note: Table A presents data for the United States, states, and the District of Columbia. Data are presented for 1,539 items with the states listed in alphabetic order. For a more detailed listing of subjects covered in these tables, see Table of Contents.



Table A



You may visit us on the Web at http://www.census.gov/compendia/smadb



Table A



States



3 15 21 27 32 37 45 48 51 54 56 60 62 64 68 69 75 76 81 82 86 90 92 95 96 97 99 101 102 110 113 114 115



Area and Population Vital Statistics Health and Hospitals Education Crime Labor, Employment, and Earnings Income Housing Cost of Living Indicators Gross State Product Personal Income Earnings by Industry Science and Engineering Indicators Business Foreign Agriculture Natural Resources Energy Construction Manufactures Wholesale and Retail Trade Transportation Motor Vehicle and Highway Statistics Communications Information Industries and Newspapers Financial Activities Services Travel and Tourism Indicators Government Social Welfare Programs Medicare and Medicaid Defense Elections



Table A-1. States — Area and Population

Area, 2000 (sq. mi.) Population Rank Geographic area 2005 (1,000) 296,410 4,558 664 5,939 2,779 36,132 4,665 3,510 844 551 17,790 9,073 1,275 1,429 12,763 6,272 2,966 2,745 4,173 4,524 1,322 5,600 6,399 10,121 5,133 2,921 5,800 936 1,759 2,415 1,310 8,718 1,928 19,255 8,683 637 11,464 3,548 3,641 12,430 1,076 4,255 776 5,963 22,860 2,470 623 7,567 6,288 1,817 5,536 509 2004 (1,000) 293,657 4,525 658 5,740 2,750 35,842 4,602 3,499 830 554 17,385 8,918 1,262 1,395 12,712 6,227 2,953 2,734 4,142 4,507 1,315 5,561 6,407 10,104 5,097 2,901 5,760 927 1,748 2,333 1,299 8,685 1,903 19,281 8,540 636 11,450 3,524 3,591 12,394 1,080 4,198 771 5,893 22,472 2,421 621 7,481 6,207 1,813 5,504 506 20001 (1,000) 281,425 4,447 627 5,131 2,673 33,872 4,302 3,406 784 572 15,983 8,187 1,212 1,294 12,420 6,081 2,926 2,689 4,042 4,469 1,275 5,297 6,349 9,938 4,919 2,845 5,597 902 1,711 1,998 1,236 8,414 1,819 18,977 8,046 642 11,353 3,451 3,421 12,281 1,048 4,012 755 5,689 20,852 2,233 609 7,079 5,894 1,808 5,364 494 19902 (1,000) 248,791 4,040 550 3,665 2,351 29,811 3,294 3,287 666 607 12,938 6,478 1,108 1,007 11,431 5,544 2,777 2,478 3,687 4,222 1,228 4,781 6,016 9,295 4,376 2,575 5,117 799 1,578 1,202 1,109 7,748 1,515 17,991 6,632 639 10,847 3,146 2,842 11,883 1,003 3,486 696 4,877 16,986 1,723 563 6,189 4,867 1,793 4,892 454 Per square mile of land area3 Population change Number, 2000–2005 (1,000) Net Net international change, total4 migration 14,985.8 110.5 36.7 808.7 105.8 2,260.5 363.2 104.7 59.9 –21.5 1,807.0 885.8 63.7 135.1 343.7 191.5 40.0 55.9 131.1 54.7 46.6 303.9 49.6 182.4 213.3 76.4 203.6 33.5 47.5 416.6 74.2 303.6 109.3 277.8 636.8 –5.5 110.9 97.2 219.6 148.6 27.9 243.3 21.1 273.7 2,008.2 236.4 14.2 488.4 393.6 8.5 172.5 15.5 6,333.9 25.9 5.8 168.1 21.9 1,415.9 112.2 76.0 11.2 20.6 528.1 192.8 30.1 14.5 328.0 55.7 29.4 38.2 27.4 20.2 5.0 109.0 162.7 122.9 70.8 10.7 42.7 2.1 22.2 66.1 11.1 290.2 28.0 667.0 158.2 3.7 75.1 36.5 72.3 102.5 19.0 36.4 4.0 50.0 663.2 50.0 4.4 140.0 134.2 3.7 46.1 2.3 Net internal migration (X) 10.5 –4.6 408.2 35.7 –664.5 47.7 –34.3 27.9 –53.6 1,057.6 232.7 –13.1 61.3 –391.0 –17.0 –41.1 –57.8 32.2 –89.5 36.8 9.8 –236.4 –165.1 –16.8 –10.6 27.0 18.9 –26.2 270.9 40.9 –194.9 9.5 –1,001.1 232.4 –18.6 –177.2 –15.4 77.8 –28.0 –5.0 115.1 –0.7 109.7 218.7 –33.8 3.5 103.5 81.0 10.5 14.6 1.8 Percent change



Total United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,794,083 52,419 663,267 113,998 53,179 163,696 104,094 5,543 2,489 68 65,755 59,425 10,931 83,570 57,914 36,418 56,272 82,277 40,409 51,840 35,385 12,407 10,555 96,716 86,939 48,430 69,704 147,042 77,354 110,561 9,350 8,721 121,590 54,556 53,819 70,700 44,825 69,898 98,381 46,055 1,545 32,020 77,117 42,143 268,581 84,899 9,614 42,774 71,300 24,230 65,498 97,814



Rank (X) 30 1 6 29 3 8 48 49 (X) 22 24 43 14 25 38 26 15 37 31 39 42 44 11 12 32 21 4 16 7 46 47 5 27 28 19 34 20 9 33 50 40 17 36 2 13 45 35 18 41 23 10



2005 (X) 23 47 17 32 1 22 29 45 (X) 4 9 42 39 5 15 30 33 26 24 40 19 13 8 21 31 18 44 38 35 41 10 36 3 11 48 7 28 27 6 43 25 46 16 2 34 49 12 14 37 20 50



2000 (X) 23 48 20 33 1 24 29 45 (X) 4 10 42 39 5 14 30 32 25 22 40 19 13 8 21 31 17 44 38 35 41 9 36 3 11 47 7 27 28 6 43 26 46 16 2 34 49 12 15 37 18 50



1990 (X) 22 49 24 33 1



2005 83.8 89.8 1.2 52.3 53.4 231.7



2000 79.6 87.6 1.1 45.2 51.3 217.2



1990 70.3 79.6 1.0 32.3 45.1 191.1



2000– 2005 5.3 2.5 5.9 15.8 4.0 6.7 8.4 3.1 7.6 –3.8 11.3 10.8 5.3 10.4 2.8 3.1 1.4 2.1 3.2 1.2 3.7 5.7 0.8 1.8 4.3 2.7 3.6 3.7 2.8 20.8 6.0 3.6 6.0 1.5 7.9 –0.9 1.0 2.8 6.4 1.2 2.7 6.1 2.8 4.8 9.6 10.6 2.3 6.9 6.7 0.5 3.2 3.1



1990– 2000 13.1 10.1 14.0 40.0 13.7 13.6 30.6 3.6 17.6 –5.7 23.5 26.4 9.3 28.5 8.7 9.7 5.4 8.5 9.6 5.9 3.8 10.8 5.5 6.9 12.4 10.5 9.4 12.9 8.4 66.3 11.4 8.6 20.1 5.5 21.3 0.5 4.7 9.7 20.4 3.4 4.5 15.1 8.5 16.7 22.8 29.6 8.2 14.4 21.1 0.8 9.6 8.9



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



26 45.0 41.5 31.8 27 724.5 702.9 678.5 46 431.8 401.1 341.0 (X) 8,966.1 9,316.4 9,884.4 4 329.9 296.4 239.9 11 41 42 6 14 30 32 23 21 38 19 13 8 20 31 15 44 36 39 40 156.7 198.5 17.3 229.6 174.9 53.1 33.5 105.0 103.8 42.8 573.0 816.2 178.2 64.5 62.3 84.2 6.4 22.9 22.0 146.1 141.4 188.6 15.6 223.4 169.5 52.4 32.9 101.7 102.6 41.3 541.9 809.8 175.0 61.8 60.6 81.2 6.2 22.3 18.2 137.8 111.9 172.6 12.2 205.6 154.6 49.7 30.3 92.8 96.9 39.8 489.1 767.4 163.6 55.0 54.9 74.3 5.5 20.5 10.9 123.7



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



9 1,175.3 1,134.4 1,044.5 37 15.9 15.0 12.5 2 407.8 401.9 381.0 10 178.3 165.2 136.2 47 9.2 9.3 9.3 7 280.0 277.3 28 51.7 50.3 29 37.9 35.6 5 277.3 274.0 43 1,029.9 1,003.2 25 45 17 3 35 48 12 18 34 16 50 141.3 10.2 144.7 87.3 30.1 67.4 191.1 94.5 75.5 101.9 5.2 133.2 9.9 138.0 79.6 27.2 65.8 178.8 88.6 75.1 98.8 5.1 264.9 45.8 29.6 265.1 960.3 115.8 9.2 118.3 64.9 21.0 60.8 156.3 73.1 74.5 90.1 4.7



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



X Not applicable. The April 1, 2000, Population Estimates base reflects modifications to the Census 2000 population as documented in the Count Question Resolution program and geographic program revisions. The April 1, 1990, census counts include corrections processed through August 1997 and results of special censuses and test censuses, and do not include adjustments for census coverage errors. 3 Persons per square mile were calculated on the basis of land area data from the 2000 census. 4 The estimated components of population change will not sum to the numerical population change due to the process of controlling to national totals.

2 1



Survey, Census, or Data Collection Method: Based on the Census of Population and Housing; for information, see Appendix B, Limitations of the Data and Methodology, and Internet sites and . Sources: Area—U.S. Census Bureau, 2000 Census of Population and Housing, Summary Population and Housing Characteristics, Series PHC-1; and unpublished data on American FactFinder; Population—U.S. Census Bureau, 1990 Census of Population and Housing, Population and Housing Unit Counts (CPH-2); ‘‘Time Series of Intercensal State Population Estimates: April 1, 1990 to April 1, 2000’’ (CO-EST2001-12-00), published 11 April 2002; Internet site ; and ‘‘Annual Estimates of the Population for the United States and States, and for Puerto Rico: April 1, 2000 to July 1, 2005’’ (NST-EST2005-01), published 22 December 2005; Internet site ; Rank—‘‘Table 2: Cumulative Estimates of Population Change for the United States and States, and for Puerto Rico and State Rankings: April 1, 2000 to July 1, 2005’’ (NST-EST2005-02), published 22 December 2005; Internet site ; Population change—U.S. Census Bureau, ‘‘Table 4: Cumulative Estimates of the Components of Population Change for the United States and States: April 1, 2000 to July 1, 2005’’ (NST-EST2005-04), published 22 December 2005; Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



3



Table A-2. States — Population by Residence

Metropolitan and micropolitan area population Geographic area 2004 (1,000) United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 274,114 4,036 489 5,549 2,166 35,637 4,209 3,504 830 554 17,013 8,017 1,263 1,198 12,096 5,870 2,133 2,312 3,130 4,207 928 5,477 6,391 9,314 4,442 2,255 4,958 598 1,387 2,245 1,253 8,699 1,803 18,794 7,827 437 10,947 2,965 3,454 12,022 1,081 3,923 548 5,280 21,079 2,262 458 6,639 5,981 1,360 4,734 362 Z Less than 500. 2000 (1,000) 262,060 3,945 461 4,944 2,082 33,628 3,922 3,406 784 572 15,620 7,411 1,211 1,103 11,796 5,715 2,090 2,248 3,036 4,156 893 5,218 6,325 9,153 4,266 2,196 4,810 574 1,339 1,916 1,192 8,414 1,717 18,547 7,352 435 10,849 2,891 3,281 11,899 1,048 3,735 527 5,080 19,465 2,107 449 6,269 5,678 1,348 4,604 352

4 2



Nonmetropolitan area population1 Number (1,000) 2000 222,361 2,466 411 4,524 1,404 31,990 3,633 2,988 628 572 14,270 5,864 1,108 859 10,910 4,304 1,787 1,921 2,254 3,246 513 4,559 5,801 7,419 3,490 1,387 3,883 488 1,194 1,829 732 7,939 1,364 16,603 4,849 359 8,782 2,255 2,694 9,464 953 2,427 391 3,620 17,204 1,970 232 5,170 4,831 833 3,664 321



Urban Percent of total population 1990 194,097 2,293 335 3,170 1,223 27,888 2,760 2,859 528 607 11,387 4,454 1,003 626 9,877 3,834 1,650 1,722 2,059 3,078 523 4,063 5,443 6,986 3,019 1,262 3,561 450 1,061 1,050 635 7,227 1,137 15,719 3,833 341 8,411 2,050 2,129 9,126 903 2,145 350 3,056 13,791 1,496 226 4,426 3,891 840 3,291 304 2000 79.0 55.4 65.6 88.2 52.5 94.4 84.5 87.7 80.1 100.0 89.3 71.6 91.5 66.4 87.8 70.8 61.1 71.4 55.8 72.6 40.2 86.1 91.4 74.7 70.9 48.8 69.4 54.1 69.8 91.5 59.3 94.4 75.0 87.5 60.2 55.9 77.4 65.3 78.7 77.1 90.9 60.5 51.9 63.6 82.5 88.2 38.2 73.0 82.0 46.1 68.3 65.1 1990 78.0 56.8 61.0 86.5 52.0 93.7 83.8 87.0 79.2 100.0 88.0 68.7 90.5 62.2 86.4 69.1 59.4 69.5 55.9 72.9 42.6 85.0 90.5 75.2 69.0 49.1 69.6 56.4 67.2 87.4 57.2 93.5 75.0 87.4 57.8 53.4 77.5 65.2 74.9 76.8 89.9 61.5 50.3 62.7 81.2 86.8 40.2 71.5 79.9 46.9 67.3 67.1



1990 (1,000) 230,747 3,559 398 3,512 1,802 29,540 2,989 3,287 666 607 12,645 5,822 1,108 846 10,809 5,198 1,939 2,029 2,734 3,917 845 4,708 5,999 8,601 3,750 1,969 4,392 495 1,198 1,137 1,074 7,730 1,430 17,574 6,030 410 10,377 2,610 2,719 11,518 1,003 3,230 469 4,350 15,723 1,618 417 5,434 4,689 1,315 4,205 320



3



Percent of total, 2004 93.3 89.1 74.5 96.6 78.7 99.3 91.5 100.0 100.0 100.0 97.8 90.8 100.0 86.0 95.1 94.1 72.2 84.5 75.5 93.2 70.4 98.5 99.6 92.1 87.1 77.7 86.2 64.6 79.4 96.1 96.4 100.0 94.7 97.7 91.6 68.8 95.5 84.1 96.1 96.9 100.0 93.4 71.1 89.5 93.7 94.7 73.7 89.0 96.4 74.9 85.9 71.6



Percent change, 2000– 2004 4.6 2.3 5.9 12.2 4.0 6.0 8.4 2.9 6.0 –3.2 8.9 8.2 4.2 8.6 2.5 2.7 2.0 2.8 3.1 1.2 3.9 5.0 1.0 1.8 4.1 2.7 3.1 4.2 3.6 17.2 5.1 3.4 5.0 1.3 6.5 0.5 0.9 2.6 5.3 1.0 3.1 5.0 4.0 3.9 8.3 7.3 1.9 5.9 5.3 0.9 2.8 3.0



2004 (1,000) 19,542 494 167 195 587 257 392 – – – 384 812 (Z) 195 617 368 822 424 1,016 309 390 81 26 799 659 648 796 328 360 90 47 – 100 433 715 198 512 559 140 384 – 276 223 621 1,411 127 163 821 222 456 775 144



2000 (1,000) 19,364 503 166 187 591 243 380 – – – 363 776 (Z) 191 624 366 836 440 1,006 312 382 79 25 785 654 648 787 328 373 82 44 – 102 430 695 208 504 560 140 382 – 277 228 610 1,386 126 159 810 216 461 759 142



2



1990 (1,000) 17,971 482 152 153 549 218 306 – – – 293 656 (Z) 161 622 346 838 448 953 303 383 73 18 694 626 606 725 304 381 64 35 – 85 417 602 228 470 536 123 365 – 256 227 527 1,264 105 146 755 178 478 687 133



3



Percent change, 2000– 2004 0.9 –1.7 0.7 4.6 –0.7 5.5 3.0 – – – 5.9 4.7 –14.3 2.3 –1.0 0.5 –1.7 –3.8 1.0 –1.1 2.0 2.5 5.2 1.7 0.7 –0.1 1.2 0.2 –3.4 9.4 7.1 – –1.5 0.7 2.9 –4.7 1.6 –0.2 0.2 0.4 – –0.5 –2.1 1.9 1.8 1.3 2.5 1.3 3.0 –1.1 2.1 1.5



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



– Represents zero.

1 2 3



Represents the area outside of metropolitan and micropolitan areas. The April 1, 2000, Population Estimates base reflects modifications to the Census 2000 population as documented in the Count Question Resolution program and geographic program revisions. The April 1, 1990, census counts include corrections processed through August 1997 and results of special censuses and test censuses, and do not include adjustments for census coverage errors. 4 Colorado state total includes Broomfield city. Survey, Census, or Data Collection Method: Based on the Census of Population and Housing; for information, see Appendix B, Limitations of the Data and Methodology, and Internet sites and . Sources: Metropolitan, micropolitan, and nonmetropolitan area population—U.S. Census Bureau, ‘‘Annual Estimates of the Population for Counties: April 1, 2000 to July 1, 2004’’ (CO-EST200401), published 14 April 2005; Internet site ; and 2000 Census of Population and Housing, Population and Housing Unit Counts PHC-1; Urban population—U.S. Census Bureau, 2000 Census of Population and Housing, Population and Housing Unit Counts PHC-3, see Internet site .



4



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-3. States — Population Projections

Number (1,000) Geographic area 2000– 2010 9.8 3.4 10.7 29.4 7.5 12.4 12.3 5.0 12.9 −7.4 20.5 17.1 10.7 17.3 4.0 5.1 2.9 4.4 5.5 3.2 6.4 11.5 4.7 4.9 10.2 4.5 5.8 7.4 3.4 34.6 12.1 7.2 8.9 2.5 16.1 −0.9 2.0 4.1 10.8 2.5 6.5 10.8 4.2 9.5 18.2 16.2 7.2 13.2 11.0 1.2 6.8 5.3 2010– 2020 8.7 2.9 11.6 27.4 6.4 10.9 9.3 2.7 8.9 −9.3 21.6 13.1 5.3 14.8 2.5 3.7 0.4 3.0 3.7 2.3 3.8 10.0 3.1 2.6 8.9 2.5 4.7 5.6 1.9 28.3 10.0 4.9 5.3 0.7 14.6 −1.0 0.6 4.0 12.4 1.6 3.4 8.5 2.0 8.8 16.2 15.2 5.9 11.3 13.6 −1.5 4.8 2.1 2020– 2030 8.3 3.1 12.0 26.7 5.9 10.0 9.7 0.4 5.1 −9.8 22.6 10.8 3.8 13.1 1.5 2.8 −2.2 1.7 3.0 1.8 0.2 8.1 2.3 0.0 6.9 1.6 3.7 2.2 1.0 24.0 8.0 3.6 0.7 −0.5 14.2 −3.7 −0.8 4.8 13.5 −0.1 −0.1 6.8 −0.2 8.8 16.4 16.6 3.1 10.2 16.0 −4.5 2.4 −1.5 Rank Percent change



2005 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295,507 4,527 661 5,868 2,777 36,039 4,618 3,503 837 551 17,510 8,926 1,277 1,407 12,699 6,250 2,974 2,752 4,163 4,534 1,319 5,601 6,519 10,207 5,175 2,916 5,765 933 1,744 2,352 1,315 8,745 1,902 19,258 8,702 635 11,478 3,521 3,596 12,427 1,087 4,239 772 5,965 22,775 2,418 631 7,553 6,205 1,819 5,554 507



2006 298,217 4,541 667 6,016 2,797 36,449 4,661 3,520 846 547 17,845 9,060 1,291 1,429 12,747 6,280 2,982 2,763 4,185 4,552 1,327 5,662 6,548 10,255 5,223 2,928 5,797 940 1,750 2,418 1,329 8,804 1,919 19,305 8,830 636 11,500 3,536 3,633 12,461 1,093 4,282 775 6,018 23,149 2,453 635 7,645 6,267 1,822 5,590 510



2007 300,913 4,555 674 6,167 2,817 36,857 4,704 3,536 856 543 18,186 9,193 1,305 1,451 12,792 6,309 2,990 2,774 4,206 4,568 1,335 5,723 6,575 10,301 5,272 2,940 5,829 947 1,755 2,484 1,343 8,861 1,936 19,346 8,958 636 11,522 3,550 3,671 12,494 1,099 4,324 778 6,071 23,524 2,488 640 7,736 6,332 1,825 5,625 513



2008 303,598 4,569 680 6,321 2,837 37,262 4,747 3,550 866 538 18,534 9,326 1,318 1,473 12,836 6,337 2,998 2,785 4,227 4,584 1,342 5,783 6,601 10,345 5,322 2,951 5,860 955 1,760 2,552 1,357 8,915 1,951 19,383 9,087 636 11,541 3,564 3,710 12,525 1,106 4,365 781 6,124 23,899 2,523 644 7,828 6,399 1,827 5,660 515



2009 306,272 4,583 687 6,478 2,856 37,666 4,789 3,564 875 534 18,889 9,458 1,329 1,495 12,877 6,365 3,004 2,795 4,246 4,599 1,350 5,844 6,626 10,388 5,371 2,961 5,891 962 1,765 2,621 1,371 8,968 1,966 19,415 9,216 637 11,560 3,578 3,750 12,555 1,111 4,406 784 6,178 24,274 2,559 648 7,919 6,469 1,829 5,694 518



2010 308,936 4,596 694 6,637 2,875 38,067 4,832 3,577 884 530 19,252 9,589 1,341 1,517 12,917 6,392 3,010 2,805 4,265 4,613 1,357 5,905 6,649 10,429 5,421 2,971 5,922 969 1,769 2,691 1,386 9,018 1,980 19,444 9,346 637 11,576 3,592 3,791 12,584 1,117 4,447 786 6,231 24,649 2,595 653 8,010 6,542 1,829 5,727 520



2015 322,366 4,663 733 7,495 2,969 40,123 5,049 3,635 927 506 21,204 10,231 1,386 1,630 13,097 6,518 3,026 2,853 4,351 4,674 1,389 6,208 6,759 10,599 5,668 3,014 6,070 999 1,789 3,058 1,457 9,256 2,042 19,547 10,011 635 11,635 3,662 4,013 12,711 1,140 4,642 797 6,502 26,586 2,783 673 8,467 6,951 1,823 5,883 528



2020 335,805 4,729 774 8,456 3,060 42,207 5,279 3,676 963 481 23,407 10,844 1,412 1,741 13,237 6,627 3,020 2,891 4,424 4,719 1,409 6,498 6,856 10,696 5,901 3,045 6,200 1,023 1,803 3,452 1,525 9,462 2,084 19,577 10,709 630 11,644 3,736 4,260 12,787 1,154 4,823 802 6,781 28,635 2,990 691 8,917 7,432 1,801 6,005 531



2025 349,439 4,800 821 9,532 3,151 44,305 5,523 3,691 991 455 25,912 11,439 1,439 1,853 13,341 6,721 2,993 2,919 4,490 4,762 1,414 6,763 6,939 10,714 6,109 3,069 6,315 1,037 1,813 3,863 1,586 9,637 2,107 19,540 11,449 621 11,606 3,821 4,536 12,802 1,158 4,990 802 7,073 30,865 3,226 703 9,364 7,996 1,766 6,088 529



2030 363,584 4,874 868 10,712 3,240 46,445 5,792 3,689 1,013 433 28,686 12,018 1,466 1,970 13,433 6,810 2,955 2,940 4,555 4,803 1,411 7,022 7,012 10,694 6,306 3,092 6,430 1,045 1,820 4,282 1,646 9,802 2,100 19,477 12,228 607 11,551 3,913 4,834 12,768 1,153 5,149 800 7,381 33,318 3,485 712 9,825 8,625 1,720 6,151 523



2010 (X) 24 47 14 32 1 22 29 45 (X) 4 9 42 39 5 16 30 33 26 23 41 19 13 8 21 31 18 44 38 34 40 11 36 3 10 49 7 28 27 6 43 25 46 17 2 35 48 12 15 37 20 50



2020 (X) 24 47 13 31 1 22 29 45 (X) 3 8 41 39 5 17 33 35 26 25 42 18 15 10 21 32 19 44 37 30 40 11 36 4 9 49 7 28 27 6 43 23 46 16 2 34 48 12 14 38 20 50



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



5



Table A-3. States — Population Projections—Con.

Population by age (1,000) Geographic area Males per 100 females, 2010 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.6 93.5 104.2 100.4 95.9 98.2 102.1 93.7 93.2 90.5 95.4 98.7 99.9 100.5 96.9 97.1 97.1 99.3 96.9 94.8 94.8 92.6 92.6 97.3 99.4 94.6 95.4 99.1 97.9 100.7 97.3 94.8 94.6 93.4 97.2 101.1 95.4 97.5 98.8 93.6 92.7 94.9 100.3 94.9 98.4 100.4 97.4 96.0 98.8 96.0 98.1 100.6 Under 18 years 2005 73,639 1,112 183 1,533 691 9,462 1,153 838 199 117 3,863 2,361 307 380 3,230 1,596 721 702 1,005 1,185 282 1,384 1,525 2,555 1,277 771 1,418 215 445 593 307 2,103 488 4,607 2,152 149 2,819 890 844 2,844 256 1,038 195 1,449 6,317 771 140 1,827 1,491 392 1,334 119 2010 74,432 1,092 184 1,688 703 9,497 1,189 814 202 114 4,086 2,502 316 400 3,197 1,596 711 699 1,002 1,172 269 1,406 1,484 2,487 1,290 759 1,411 212 446 665 304 2,088 479 4,421 2,269 142 2,744 895 863 2,748 249 1,036 194 1,479 6,785 819 132 1,880 1,488 382 1,319 116 18 to 44 years 2005 112,360 1,657 264 2,185 1,007 14,357 1,861 1,277 311 246 6,089 3,623 471 531 4,916 2,354 1,076 1,024 1,573 1,706 470 2,153 2,486 3,833 2,003 1,084 2,134 326 642 894 489 3,285 684 7,380 3,363 231 4,220 1,293 1,360 4,444 408 1,577 278 2,248 9,068 979 230 2,940 2,410 640 2,095 183 2010 113,248 1,605 270 2,349 996 14,787 1,863 1,257 309 237 6,315 3,724 477 554 4,842 2,328 1,049 1,004 1,540 1,665 462 2,212 2,440 3,822 2,027 1,052 2,111 324 619 961 494 3,252 669 7,227 3,471 223 4,123 1,264 1,412 4,385 410 1,579 269 2,249 9,417 1,021 232 2,997 2,481 618 2,076 177 45 to 64 years 2005 72,812 1,155 170 1,384 697 8,319 1,148 909 216 124 4,541 2,086 329 338 3,033 1,533 741 667 1,066 1,104 374 1,421 1,649 2,573 1,278 706 1,443 263 425 598 360 2,212 491 4,762 2,150 161 2,917 873 944 3,242 271 1,095 189 1,522 5,122 460 179 1,918 1,602 508 1,404 142 2010 81,012 1,251 184 1,678 765 9,391 1,263 990 249 118 5,431 2,382 357 381 3,277 1,656 800 727 1,165 1,194 413 1,568 1,817 2,785 1,433 781 1,578 287 460 735 408 2,446 553 5,144 2,445 174 3,121 938 1,022 3,496 300 1,226 209 1,673 5,859 520 195 2,139 1,777 536 1,561 154 65 to 74 years 2005 18,624 321 27 406 201 1,990 240 223 59 32 1,484 473 85 82 756 386 203 171 278 282 97 331 406 624 301 189 391 66 111 157 82 564 129 1,243 554 43 758 243 220 893 68 289 51 403 1,216 108 42 463 353 145 351 34 2010 21,270 354 35 516 227 2,333 282 253 68 32 1,773 564 101 99 826 425 217 185 309 313 110 386 454 699 343 209 432 77 119 199 97 632 153 1,346 641 46 816 266 263 960 76 343 55 461 1,426 127 50 554 429 156 392 40 75 years and over 2005 18,072 281 17 359 181 1,910 216 256 52 32 1,533 383 85 76 765 380 233 188 242 257 96 311 452 622 316 165 379 64 122 110 76 582 111 1,266 483 50 763 222 228 1,004 83 240 58 345 1,052 99 41 404 350 135 369 30 2010 18,974 295 21 406 185 2,060 235 262 57 29 1,646 417 90 82 774 386 233 190 249 270 102 332 454 635 327 170 390 68 125 131 82 600 126 1,306 520 51 771 229 231 997 82 263 60 368 1,162 108 43 441 367 136 380 33 Under 18 years 24.1 23.8 26.5 25.4 24.4 24.9 24.6 22.8 22.9 21.5 21.2 26.1 23.6 26.4 24.7 25.0 23.6 24.9 23.5 25.4 19.8 23.8 22.3 23.8 23.8 25.6 23.8 21.9 25.2 24.7 22.0 23.2 24.2 22.7 24.3 22.3 23.7 24.9 22.8 21.8 22.3 23.3 24.7 23.7 27.5 31.6 20.3 23.5 22.8 20.9 23.0 22.4 Percent of population in 2010



65 years and over 13.0 14.1 8.1 13.9 14.3 11.5 10.7 14.4 14.1 11.5 17.8 10.2 14.3 12.0 12.4 12.7 14.9 13.4 13.1 12.6 15.6 12.2 13.7 12.8 12.4 12.8 13.9 15.0 13.8 12.3 12.9 13.7 14.1 13.6 12.4 15.3 13.7 13.8 13.0 15.5 14.1 13.6 14.6 13.3 10.5 9.0 14.3 12.4 12.2 16.0 13.5 14.0



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



X Not applicable. Survey, Census, or Data Collection Method: Based on calculations using National Center for Health Statistics (NCHS) fertility and mortality rates, state migration patterns derived from the Internal Revenue Service (IRS) and Census 2000, and international migration derived from the Population Estimates Program and data on the foreign-born population in Census 2000; for information, see Internet site . Source: U.S. Census Bureau, ‘‘State Interim Population Projections by Age and Sex: 2004–2030,’’ published 21 April 2005. See Internet site .



6



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-4. States — Population by Age Group and Sex

Population by age, 2004 (1,000) Geographic area Under 5 years 20,071 296 50 450 186 2,634 339 213 54 35 1,091 679 89 103 891 431 181 189 267 324 68 375 396 650 332 208 371 53 122 169 73 581 133 1,246 600 36 730 242 226 719 62 280 52 385 1,843 233 31 498 387 101 338 31 5 to 17 years 53,207 798 138 1,097 491 6,962 840 626 140 75 2,912 1,654 210 269 2,348 1,170 500 495 714 841 215 1,020 1,069 1,884 908 541 1,013 156 313 435 232 1,575 359 3,326 1,518 103 2,049 618 626 2,118 182 744 139 1,007 4,424 507 104 1,307 1,099 284 970 86 18 to 24 years 29,245 456 74 571 280 3,596 457 311 84 58 1,549 902 126 157 1,260 632 316 299 413 503 124 521 598 997 531 323 589 99 191 210 122 744 206 1,825 828 77 1,128 385 350 1,185 112 429 87 576 2,400 313 62 748 635 173 575 57 25 to 34 years 40,032 603 81 830 360 5,253 717 409 110 108 2,142 1,364 161 185 1,798 826 369 359 568 598 146 711 880 1,306 678 391 751 107 229 355 149 1,095 236 2,633 1,242 81 1,464 470 506 1,471 139 568 93 828 3,336 399 70 1,015 859 227 696 61 35 to 44 years 44,109 651 102 800 385 5,541 709 565 128 82 2,530 1,392 180 192 1,905 907 418 388 621 642 205 895 1,030 1,514 793 405 845 128 244 355 216 1,416 266 2,993 1,289 85 1,684 488 511 1,823 166 611 106 887 3,338 291 95 1,173 956 252 840 69 45 to 54 years 41,619 648 107 719 376 4,860 668 532 119 72 2,380 1,189 186 194 1,782 886 436 392 605 639 216 829 937 1,496 755 397 826 152 249 310 209 1,275 275 2,741 1,175 97 1,702 493 537 1,869 159 594 111 852 2,981 268 105 1,093 933 284 826 84 55 to 64 years 29,079 480 61 545 294 3,225 421 374 87 56 1,865 803 138 135 1,210 614 301 260 439 441 155 573 652 1,020 488 284 592 107 167 239 141 886 199 1,970 856 63 1,177 363 379 1,325 110 451 74 629 1,952 170 74 778 631 217 550 57 65 to 74 years 18,463 325 26 396 205 1,950 241 217 58 34 1,475 477 79 83 761 388 203 170 281 280 95 326 396 612 300 193 392 66 111 154 79 543 126 1,226 555 43 747 249 227 864 65 286 52 407 1,214 111 41 453 357 144 349 33 75 to 84 years 12,971 207 13 250 128 1,359 154 175 38 24 1,073 275 68 53 540 279 158 129 179 188 69 226 322 460 217 121 274 42 85 84 56 420 77 913 356 34 570 161 163 742 60 175 39 248 756 71 28 291 243 102 256 21 85 years and over 4,860 66 4 86 48 514 56 82 13 9 380 95 25 22 219 105 72 55 59 60 25 83 136 175 98 40 100 18 36 24 22 163 27 354 121 16 208 54 70 291 26 59 18 84 246 26 11 103 103 33 111 7



Total United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293,655 4,530 655 5,744 2,753 35,894 4,601 3,504 830 554 17,397 8,829 1,263 1,393 12,714 6,238 2,954 2,736 4,146 4,516 1,317 5,558 6,417 10,113 5,101 2,903 5,755 927 1,747 2,335 1,300 8,699 1,903 19,227 8,541 634 11,459 3,524 3,595 12,406 1,081 4,198 771 5,901 22,490 2,389 621 7,460 6,204 1,815 5,509 507



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



7



Table A-4. States — Population by Age Group and Sex—Con.

Population under 18 years (1,000) Geographic area Under 18 years 2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,278 1,095 188 1,547 677 9,596 1,179 839 194 110 4,003 2,333 299 372 3,238 1,600 680 683 980 1,165 282 1,395 1,464 2,533 1,240 750 1,385 208 435 604 305 2,156 492 4,572 2,118 139 2,779 860 852 2,837 244 1,025 191 1,391 6,267 740 135 1,805 1,486 385 1,308 117 2000 72,295 1,124 191 1,367 680 9,250 1,101 842 195 115 3,646 2,169 296 369 3,246 1,574 734 713 995 1,220 301 1,356 1,500 2,596 1,287 775 1,428 230 450 512 310 2,088 509 4,690 1,964 161 2,888 892 847 2,922 248 1,010 203 1,399 5,887 719 148 1,738 1,514 402 1,369 129 19901 63,941 1,064 173 986 624 7,822 864 754 164 119 2,884 1,736 282 309 2,961 1,461 721 663 957 1,233 310 1,168 1,361 2,468 1,170 750 1,319 223 430 299 280 1,817 449 4,292 1,616 176 2,808 840 727 2,807 227 925 199 1,222 4,858 629 144 1,511 1,267 445 1,292 136 2004 36,294 598 42 732 381 3,823 451 474 109 67 2,928 847 172 159 1,521 772 433 355 519 528 190 635 854 1,247 615 353 766 127 232 262 157 1,126 229 2,493 1,032 93 1,525 464 460 1,897 151 520 109 738 2,217 208 81 847 703 278 716 61 2000 34,992 580 36 668 374 3,596 416 470 102 70 2,808 785 161 146 1,500 753 436 356 505 517 183 599 860 1,219 594 344 755 121 232 219 148 1,113 212 2,449 969 94 1,508 456 438 1,919 152 485 108 703 2,073 190 78 792 662 277 703 58 19901 31,082 520 22 476 349 3,113 328 444 80 77 2,356 651 124 121 1,429 694 426 342 465 467 163 514 815 1,104 546 319 715 106 223 127 125 1,026 162 2,340 800 91 1,403 423 390 1,821 150 394 102 616 1,708 149 66 661 573 268 650 47 2004 25.0 24.2 28.7 26.9 24.6 26.7 25.6 23.9 23.3 19.8 23.0 26.4 23.7 26.7 25.5 25.7 23.0 25.0 23.6 25.8 21.4 25.1 22.8 25.1 24.3 25.8 24.1 22.5 24.9 25.9 23.5 24.8 25.9 23.8 24.8 21.9 24.3 24.4 23.7 22.9 22.6 24.4 24.8 23.6 27.9 31.0 21.7 24.2 24.0 21.2 23.7 23.1 2000 25.7 25.3 30.4 26.6 25.4 27.3 25.6 24.7 24.8 20.1 22.8 26.5 24.4 28.5 26.1 25.9 25.1 26.5 24.6 27.3 23.6 25.6 23.6 26.1 26.2 27.3 25.5 25.5 26.3 25.6 25.0 24.8 28.0 24.7 24.4 25.0 25.4 25.9 24.7 23.8 23.6 25.2 26.8 24.6 28.2 32.2 24.2 24.6 25.7 22.3 25.5 26.1 19901 25.7 26.3 31.4 26.9 26.5 26.3 26.2 22.9 24.6 19.5 22.3 26.8 25.4 30.7 25.9 26.3 25.9 26.8 26.0 29.2 25.3 24.4 22.6 26.5 26.7 29.1 25.8 27.9 27.2 24.8 25.2 23.5 29.6 23.9 24.4 27.5 25.9 26.7 25.6 23.6 22.6 26.5 28.6 25.1 28.6 36.5 25.5 24.4 26.0 24.8 26.4 30.0 65 years and over 2004 12.4 13.2 6.4 12.7 13.8 10.7 9.8 13.5 13.1 12.1 16.8 9.6 13.6 11.4 12.0 12.4 14.7 13.0 12.5 11.7 14.4 11.4 13.3 12.3 12.1 12.2 13.3 13.7 13.3 11.2 12.1 12.9 12.1 13.0 12.1 14.7 13.3 13.2 12.8 15.3 13.9 12.4 14.2 12.5 9.9 8.7 13.0 11.4 11.3 15.3 13.0 12.1 2000 12.4 13.0 5.7 13.0 14.0 10.6 9.7 13.8 13.0 12.2 17.6 9.6 13.3 11.3 12.1 12.4 14.9 13.2 12.5 11.6 14.4 11.3 13.5 12.3 12.1 12.1 13.5 13.4 13.6 11.0 12.0 13.2 11.7 12.9 12.0 14.7 13.3 13.2 12.8 15.6 14.5 12.1 14.3 12.4 9.9 8.5 12.7 11.2 11.2 15.3 13.1 11.7 19901 12.5 12.9 4.0 13.0 14.8 10.5 10.0 13.5 12.1 12.7 18.2 10.0 11.2 12.0 12.5 12.5 15.3 13.8 12.6 11.1 13.3 10.8 13.5 11.9 12.5 12.4 14.0 13.3 14.1 10.5 11.2 13.2 10.7 13.0 12.1 14.2 12.9 13.4 13.7 15.3 14.9 11.3 14.7 12.6 10.1 8.7 11.7 10.7 11.8 14.9 13.3 10.4 Population 65 years and over (1,000) Percent of population by age Males per 100 females, 2004 96.9 94.1 107.1 100.1 96.1 99.6 101.8 94.3 95.1 89.7 96.1 97.8 99.6 100.6 96.5 96.9 96.9 98.6 96.3 94.5 95.4 93.9 93.8 96.6 98.6 94.3 95.5 99.5 97.7 103.7 97.3 94.9 96.8 93.8 96.7 99.7 94.9 97.6 98.8 94.1 93.2 95.0 98.9 95.7 99.2 100.8 96.9 96.9 99.5 95.6 98.0 101.4



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1



. . . . . .



The April 1, 1990, data shown here do not reflect the corrections referred to in footnote 2 of Table A-1.



Survey, Census, or Data Collection Method: Based on the Census of Population and Housing; for information, see Appendix B, Limitations of the Data and Methodology, and sites and . Source: U.S. Census Bureau, ‘‘State Single Year of Age and Sex Population Estimates: April 1, 2000 to July 1, 2004—RESIDENT’’; see Internet site ; and ‘‘Age and Sex for States and for Puerto Rico: April 1, 2000 to July 1, 2004’’; see Internet site ; and ‘‘Table ST-99-9 Population Estimates for the U.S., Regions, and States by Selected Age Groups and Sex: Annual Time Series, July 1, 1990 to July 1, 1999,’’ published 9 March 2000; see Internet site .



8



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-5. States — Population by Race and Hispanic Origin

All races (1,000) Geographic area White alone (1,000) Black or African American alone (1,000) American Indian, Alaska Native alone (1,000) Asian alone (1,000) Native Hawaiian and Other Pacific Islander alone (1,000) Two or more races (1,000) Hispanic or Latino origin (1,000) Non-Hispanic White alone (1,000)



2004



20001



2004



20001



2004 37,502 1,194 24 203 434 2,437 189 352 169 319 2,726 2,613 28 8 1,926 548 68 161 311 1,492 10 1,615 435 1,451 212 1,069 661 3 75 176 12 1,260 45 3,361 1,861 5 1,362 272 64 1,304 66 1,233 6 991 2,633 23 4 1,483 216 58 328 4



20001 35,705 1,159 23 169 421 2,381 173 334 154 349 2,429 2,371 23 6 1,902 516 63 157 299 1,458 7 1,500 406 1,426 180 1,036 635 3 70 140 10 1,212 38 3,346 1,753 4 1,318 264 58 1,259 60 1,190 5 938 2,454 19 3 1,411 199 58 309 4



2004 2,825 23 104 289 20 417 52 12 3 2 74 27 4 20 39 18 10 26 9 27 7 18 18 60 59 13 26 60 17 33 3 27 192 103 110 33 26 284 49 22 6 16 67 17 153 32 2 24 101 4 51 12



20001 2,664 23 99 267 18 403 50 11 3 2 59 24 4 18 37 17 10 26 9 26 7 17 18 60 56 12 26 56 16 28 3 24 179 101 102 31 26 276 48 20 6 14 62 16 139 31 2 23 97 4 48 11



2004 12,326 37 30 123 26 4,326 116 108 21 17 352 230 528 14 505 73 42 57 37 62 11 258 295 220 172 21 75 5 27 128 22 607 24 1,249 148 4 159 54 122 267 29 44 5 71 718 45 6 330 388 10 106 3



20001 10,589 32 26 98 21 3,817 99 86 17 16 279 178 511 12 435 61 38 48 30 56 9 216 246 181 146 19 63 5 23 94 16 494 21 1,105 118 4 136 48 104 225 25 37 4 58 587 39 5 268 331 10 91 3



2004 506 2 4 10 2 149 6 3 (Z) (Z) 14 7 114 2 8 3 1 2 2 2 (Z) 3 5 4 3 1 4 1 1 12 1 7 2 18 6 (Z) 4 3 10 5 1 2 (Z) 3 24 17 (Z) 5 28 (Z) 2 (Z)



20001 463 2 3 9 2 138 6 2 (Z) (Z) 11 5 116 1 7 2 1 2 2 1 (Z) 3 5 3 2 1 3 (Z) 1 9 (Z) 6 2 17 5 (Z) 3 3 9 4 1 2 (Z) 3 20 16 (Z) 5 25 (Z) 2 (Z)



2004 4,439 39 31 86 32 855 82 46 11 8 209 90 254 19 135 66 26 44 40 37 12 81 83 146 72 18 73 14 19 58 12 108 28 279 83 6 140 140 83 115 16 35 9 56 235 31 7 115 180 15 56 6



20001 3,898 36 30 70 29 768 71 39 9 7 167 73 244 17 117 56 23 41 34 33 11 68 70 130 61 16 65 13 16 45 10 90 25 246 70 6 122 139 75 97 14 30 9 48 199 28 6 96 160 14 49 6



2004 41,322 98 32 1,609 121 12,443 879 372 48 47 3,305 598 100 124 1,775 269 104 220 77 124 12 298 494 375 179 49 148 22 120 532 28 1,294 823 3,077 518 10 252 223 343 476 112 130 15 167 7,781 253 6 426 527 15 237 34



20001



2004



20001 195,577 3,131 426 3,292 2,103 16,058 3,218 2,656 570 161 10,510 5,145 282 1,143 8,471 5,230 2,715 2,239 3,615 2,803 1,232 3,301 5,257 7,849 4,345 1,730 4,698 809 1,497 1,312 1,178 5,605 821 11,881 5,659 590 9,562 2,563 2,872 10,346 869 2,658 665 4,515 10,987 1,911 587 4,988 4,680 1,712 4,689 440



United States . . . 293,655 281,425 236,058 228,107 Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,530 655 5,744 2,753 35,894 4,601 3,504 830 554 17,397 8,829 1,263 1,393 12,714 6,238 2,954 2,736 4,146 4,516 1,317 5,558 6,417 10,113 5,101 2,903 5,755 927 1,747 2,335 1,300 8,699 1,903 19,227 8,541 634 11,459 3,524 3,595 12,406 1,081 4,198 771 5,901 22,490 2,389 621 7,460 6,204 1,815 5,509 507 4,447 627 5,131 2,673 33,872 4,302 3,406 784 572 15,983 8,187 1,212 1,294 12,420 6,081 2,926 2,689 4,042 4,469 1,275 5,297 6,349 9,938 4,919 2,845 5,597 902 1,711 1,998 1,236 8,414 1,819 18,977 8,046 642 11,353 3,451 3,421 12,281 1,048 4,012 755 5,689 20,852 2,233 609 7,079 5,894 1,808 5,364 494 3,235 464 5,033 2,238 27,710 4,154 2,983 625 207 14,022 5,863 335 1,331 10,101 5,530 2,807 2,445 3,747 2,896 1,277 3,583 5,581 8,232 4,583 1,780 4,916 844 1,609 1,927 1,250 6,690 1,612 14,216 6,332 586 9,768 2,770 3,267 10,693 962 2,868 684 4,763 18,726 2,241 602 5,502 5,290 1,728 4,967 480 3,196 446 4,519 2,183 26,365 3,904 2,933 601 197 13,037 5,535 314 1,239 9,922 5,428 2,792 2,415 3,668 2,894 1,240 3,494 5,604 8,138 4,474 1,762 4,805 824 1,586 1,683 1,196 6,588 1,553 14,161 5,999 597 9,749 2,722 3,127 10,675 942 2,739 674 4,626 17,453 2,100 591 5,277 5,082 1,723 4,865 469



35,306 197,841 76 26 1,296 87 10,967 736 320 37 45 2,683 435 88 102 1,530 215 82 188 60 108 9 228 429 324 143 40 119 18 94 394 20 1,117 765 2,868 379 8 217 179 275 394 91 95 11 124 6,670 202 6 330 442 12 193 32 3,148 438 3,510 2,126 15,982 3,334 2,658 583 168 10,920 5,319 295 1,215 8,414 5,280 2,710 2,239 3,678 2,789 1,266 3,325 5,181 7,896 4,421 1,739 4,781 826 1,497 1,429 1,225 5,549 827 11,746 5,861 578 9,547 2,570 2,948 10,288 870 2,753 671 4,611 11,190 2,003 597 5,122 4,809 1,714 4,749 449



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



9



Table A-5. States — Population by Race and Hispanic Origin—Con.

Percent of total, 2004 Percent change, 2000–2004



Geographic area Black or African American alone 12.8 26.4 3.6 3.5 15.8 6.8 4.1 10.1 20.4 57.7 15.7 29.6 2.2 0.6 15.1 8.8 2.3 5.9 7.5 33.0 0.7 29.1 6.8 14.3 4.1 36.8 11.5 0.4 4.3 7.5 0.9 14.5 2.4 17.5 21.8 0.7 11.9 7.7 1.8 10.5 6.1 29.4 0.8 16.8 11.7 0.9 0.6 19.9 3.5 3.2 5.9 0.9 American Indian, Alaska Native alone 1.0 0.5 15.8 5.0 0.7 1.2 1.1 0.3 0.4 0.3 0.4 0.3 0.3 1.4 0.3 0.3 0.3 1.0 0.2 0.6 0.6 0.3 0.3 0.6 1.2 0.5 0.5 6.4 0.9 1.4 0.2 0.3 10.1 0.5 1.3 5.2 0.2 8.1 1.4 0.2 0.6 0.4 8.6 0.3 0.7 1.3 0.4 0.3 1.6 0.2 0.9 2.4 Native Hawaiian, Other Pacific Islander alone 0.2 (Z) 0.6 0.2 0.1 0.4 0.1 0.1 0.1 0.1 0.1 0.1 9.1 0.1 0.1 (Z) (Z) 0.1 (Z) (Z) (Z) 0.1 0.1 (Z) 0.1 (Z) 0.1 0.1 0.1 0.5 (Z) 0.1 0.1 0.1 0.1 (Z) (Z) 0.1 0.3 (Z) 0.1 0.1 (Z) (Z) 0.1 0.7 (Z) 0.1 0.5 (Z) (Z) 0.1 NonHispanic White alone 67.4 69.5 66.9 61.1 77.2 44.5 72.5 75.9 70.2 30.3 62.8 60.2 23.3 87.2 66.2 84.6 91.7 81.9 88.7 61.8 96.1 59.8 80.8 78.1 86.7 59.9 83.1 89.1 85.7 61.2 94.3 63.8 43.5 61.1 68.6 91.1 83.3 72.9 82.0 82.9 80.5 65.6 87.1 78.1 49.8 83.8 96.0 68.7 77.5 94.4 86.2 88.6 Black or African American alone 5.0 3.1 4.1 20.3 3.3 2.3 9.1 5.4 10.2 −8.6 12.2 10.2 20.4 32.6 1.3 6.2 6.7 2.5 4.0 2.4 32.6 7.7 7.0 1.7 17.6 3.2 4.2 23.4 6.8 25.7 23.3 3.9 16.5 0.5 6.2 10.2 3.4 3.0 9.6 3.6 10.1 3.6 20.9 5.7 7.3 16.3 14.6 5.1 8.7 0.5 6.0 12.8 American Indian, Alaska Native alone 6.0 0.5 4.9 8.4 7.4 3.3 5.6 9.8 9.1 −4.5 23.9 14.3 12.1 7.9 6.7 5.3 8.8 0.8 3.1 4.8 3.8 6.4 5.1 0.3 5.9 13.0 2.7 5.6 5.9 16.8 4.8 10.9 7.4 1.9 7.7 5.1 1.8 3.0 3.2 10.7 7.7 8.9 6.5 6.8 10.7 3.3 −6.3 6.9 4.6 1.7 6.5 7.1 Native Hawaiian, Other Pacific Islander alone 9.3 11.6 10.0 21.4 18.4 8.1 17.5 19.9 26.2 −9.2 27.4 27.7 −1.4 11.8 10.2 19.0 11.3 15.2 19.0 9.8 15.0 20.2 11.9 21.3 19.3 11.6 13.4 4.7 18.4 31.3 27.8 18.4 14.6 7.4 20.9 5.2 13.1 10.5 11.9 18.2 11.9 23.3 4.9 16.8 19.6 8.7 11.4 19.3 11.4 (Z) 17.5 8.8



White alone United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.4 71.4 70.7 87.6 81.3 77.2 90.3 85.1 75.3 37.4 80.6 66.4 26.5 95.5 79.5 88.7 95.0 89.4 90.4 64.1 96.9 64.5 87.0 81.4 89.9 61.3 85.4 91.1 92.1 82.5 96.2 76.9 84.7 73.9 74.1 92.4 85.2 78.6 90.9 86.2 89.1 68.3 88.7 80.7 83.3 93.8 96.9 73.8 85.3 95.2 90.2 94.8



Asian alone 4.2 0.8 4.5 2.1 0.9 12.1 2.5 3.1 2.6 3.0 2.0 2.6 41.8 1.0 4.0 1.2 1.4 2.1 0.9 1.4 0.8 4.6 4.6 2.2 3.4 0.7 1.3 0.5 1.5 5.5 1.7 7.0 1.3 6.5 1.7 0.7 1.4 1.5 3.4 2.2 2.7 1.1 0.7 1.2 3.2 1.9 1.0 4.4 6.3 0.6 1.9 0.6



Two or more races 1.5 0.9 4.7 1.5 1.2 2.4 1.8 1.3 1.3 1.5 1.2 1.0 20.1 1.3 1.1 1.1 0.9 1.6 1.0 0.8 0.9 1.5 1.3 1.4 1.4 0.6 1.3 1.5 1.1 2.5 0.9 1.2 1.5 1.5 1.0 0.9 1.2 4.0 2.3 0.9 1.5 0.8 1.2 0.9 1.0 1.3 1.1 1.5 2.9 0.8 1.0 1.2



Hispanic or Latino origin 14.1 2.2 4.9 28.0 4.4 34.7 19.1 10.6 5.8 8.5 19.0 6.8 7.9 8.9 14.0 4.3 3.5 8.1 1.9 2.8 0.9 5.4 7.7 3.7 3.5 1.7 2.6 2.4 6.9 22.8 2.1 14.9 43.3 16.0 6.1 1.5 2.2 6.3 9.5 3.8 10.3 3.1 2.0 2.8 34.6 10.6 1.0 5.7 8.5 0.8 4.3 6.7



White alone 3.5 1.2 3.8 11.4 2.5 5.1 6.4 1.7 4.0 5.1 7.6 5.9 6.7 7.4 1.8 1.9 0.5 1.2 2.2 0.1 3.0 2.6 −0.4 1.2 2.4 1.1 2.3 2.5 1.5 14.5 4.5 1.6 3.8 0.4 5.6 −1.7 0.2 1.8 4.5 0.2 2.1 4.7 1.4 2.9 7.3 6.7 1.8 4.3 4.1 0.3 2.1 2.3



Asian alone 16.4 14.5 15.9 25.9 24.3 13.4 17.9 25.5 28.9 6.5 26.2 28.8 3.3 14.5 15.9 20.1 12.8 17.9 21.4 10.4 16.4 19.4 19.7 21.6 18.4 12.4 18.3 5.0 18.7 37.2 33.9 22.8 13.4 13.1 25.7 12.8 17.3 12.1 17.2 18.3 13.5 19.4 16.7 22.1 22.4 15.5 17.7 23.1 17.3 6.3 16.2 12.1



Two or more races 13.9 9.4 3.6 21.7 11.5 11.4 16.4 17.1 20.7 9.3 24.8 22.8 4.1 12.4 15.6 18.4 13.6 9.1 16.0 10.5 12.5 19.0 17.7 11.8 16.8 13.5 12.1 2.9 14.7 30.1 19.7 19.8 8.7 13.3 19.4 0.8 14.7 1.3 10.4 17.7 15.8 17.6 5.2 16.2 18.3 12.4 6.5 20.1 12.1 10.4 13.9 7.0



Hispanic or Latino origin 17.0 29.7 25.3 24.2 39.1 13.5 19.4 16.1 29.2 5.1 23.2 37.5 13.8 21.8 16.0 25.5 26.2 17.0 28.5 15.3 33.3 30.6 15.3 15.8 25.1 24.0 24.9 20.8 27.1 35.0 34.2 15.9 7.6 7.3 36.6 25.3 16.2 24.4 24.7 20.7 23.1 37.2 38.4 34.9 16.7 25.6 16.5 29.3 19.3 19.1 23.0 6.8



NonHispanic White alone 1.2 0.5 2.8 6.6 1.1 −0.5 3.6 0.1 2.4 3.9 3.9 3.4 4.3 6.2 −0.7 1.0 −0.2 (Z) 1.8 −0.5 2.8 0.7 −1.4 0.6 1.7 0.5 1.8 2.0 (Z) 8.9 4.0 −1.0 0.7 −1.1 3.6 −2.1 −0.1 0.3 2.6 −0.6 0.1 3.6 0.9 2.1 1.9 4.8 1.7 2.7 2.7 0.1 1.3 1.9



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



Z Less than 500 or .05%.

1



April 1, 2000, Population Estimates base reflects changes to the Census 2000 population from the Count Question Resolution program and geographic program revisions.



Survey, Census, or Data Collection Method: Based on the Census of Population and Housing; for information, see Appendix B, Limitations of the Data and Methodology, and Internet sites and . Source: U.S. Census Bureau, ‘‘State Population Estimates with Sex, 6 Race Groups (5 Race Alone Groups and One Group with Two or More Race Groups) and Hispanic Origin: April 1, 2000 to July 1, 2004’’ (SC-EST2004-6RACE), published 11 August 2005; ; ‘‘Table 4: Annual Estimates of the Population by Race Alone and Hispanic or Latino Origin for the United States and States: July 1, 2004’’ (SC-EST2004-04), published 11 August 2005; .



10



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-6. States — Households

2003, percent Total households (1,000) Geographic area Total1 Family households Married-couple families With own children under 18 years 22.4 20.6 26.4 21.1 20.2 25.0 24.4 23.2 21.0 8.1 18.2 22.9 20.5 27.4 23.6 22.6 22.3 23.4 22.4 19.7 19.6 22.5 22.6 22.4 24.4 20.2 21.3 20.8 23.8 21.5 23.8 25.1 22.0 20.5 21.2 21.2 21.3 22.2 21.1 20.4 20.9 20.1 23.5 20.9 26.2 33.9 20.5 23.1 21.2 18.6 21.5 22.5 Female householder, no husband present With own children under 18 years 7.7 8.3 7.8 8.3 7.8 7.7 6.6 8.5 7.3 11.1 7.6 9.1 5.8 6.0 7.2 7.2 5.8 6.4 7.4 11.0 6.7 8.3 7.3 7.6 5.9 10.7 7.1 5.9 5.3 7.2 6.5 6.9 8.6 8.6 8.2 5.5 7.9 7.2 6.7 6.8 7.7 9.2 6.0 7.7 8.5 5.7 6.4 6.9 7.0 6.8 6.3 5.2 Nonfamily households Householder living alone Households with one or more persons— Persons per household



2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108,420 1,743 229 2,049 1,076 11,857 1,821 1,323 304 247 6,638 3,153 419 503 4,625 2,351 1,158 1,059 1,607 1,673 535 2,048 2,436 3,884 2,012 1,056 2,285 366 675 834 493 3,123 698 7,119 3,271 254 4,480 1,341 1,409 4,801 412 1,568 299 2,296 7,635 752 242 2,790 2,382 732 2,159 199



2000 104,819 1,727 223 1,914 1,043 11,389 1,703 1,291 295 244 6,290 2,947 387 469 4,540 2,301 1,141 1,036 1,578 1,656 523 1,977 2,410 3,809 1,937 1,029 2,236 360 664 746 470 3,033 662 7,009 3,084 250 4,392 1,316 1,374 4,718 407 1,503 286 2,219 7,332 710 240 2,676 2,278 720 2,086 192



Family households, total 67.4 68.5 68.2 67.9 68.6 68.4 66.5 68.3 65.9 45.6 65.4 68.7 68.9 71.6 67.0 67.5 65.5 67.0 69.9 68.9 65.0 68.4 65.1 66.9 66.3 70.0 67.4 65.1 65.2 64.5 68.6 70.7 67.7 65.3 68.3 63.2 66.6 67.8 64.6 66.0 64.5 68.8 66.4 67.5 70.9 75.7 64.3 67.8 64.2 67.0 64.8 67.0



With own children under 18 years 32.2 30.6 38.3 32.4 30.1 35.3 33.4 33.2 30.1 20.6 27.9 33.9 28.2 35.2 32.5 31.8 29.9 32.0 31.9 32.8 28.6 33.1 31.7 32.0 32.6 33.0 30.8 29.1 30.7 31.4 32.8 33.8 33.7 31.2 31.7 28.3 31.2 31.4 29.9 29.4 30.5 31.3 31.3 30.7 36.7 42.0 29.4 31.8 30.8 27.2 29.8 30.1



Total 50.4 50.5 50.4 50.0 52.1 50.0 52.0 51.1 49.8 22.5 48.2 49.9 51.6 59.3 50.5 52.8 53.9 53.1 53.6 47.2 50.8 49.3 48.7 50.8 53.3 47.8 51.5 52.5 53.7 47.8 54.7 53.5 48.7 45.5 50.6 52.1 50.4 52.1 50.3 49.4 46.9 49.9 54.4 50.6 53.0 62.4 50.4 51.8 49.2 51.7 51.5 54.3



Total 12.6 14.1 11.8 12.7 12.5 12.9 9.7 13.8 11.9 19.4 12.7 14.6 12.0 8.6 12.6 11.0 8.4 9.9 12.3 17.4 10.2 14.6 12.6 12.1 9.2 17.8 11.4 9.0 8.4 11.2 9.6 12.9 13.5 15.0 13.4 8.0 12.4 11.8 10.3 12.1 13.3 14.9 8.6 12.7 13.5 8.9 9.7 12.1 10.3 11.8 9.4 8.2



Total 32.6 31.5 31.8 32.1 31.5 31.6 33.6 31.7 34.1 54.4 34.6 31.3 31.1 28.4 33.0 32.5 34.5 33.0 30.1 31.2 35.0 31.6 35.0 33.1 33.7 30.0 32.6 34.9 34.8 35.5 31.4 29.4 32.3 34.7 31.7 36.8 33.5 32.2 35.4 34.1 35.5 31.2 33.6 32.5 29.1 24.3 35.7 32.2 35.8 33.0 35.2 33.0



Total 26.8 28.1 25.1 24.7 26.7 24.3 26.9 25.7 27.3 45.5 28.1 26.6 24.6 21.8 27.8 26.9 28.2 28.0 25.8 26.4 28.6 25.4 28.5 28.0 27.9 25.8 26.6 28.1 28.7 26.5 24.2 24.8 26.7 28.8 26.2 31.3 28.9 27.5 27.5 29.0 29.6 26.6 28.0 27.9 24.4 18.9 27.5 26.1 28.3 28.6 28.3 27.2



65 years and over 9.1 9.9 4.7 8.3 10.2 7.7 7.2 9.5 9.4 10.5 11.1 7.0 8.3 7.8 9.4 9.4 10.7 9.6 9.5 9.0 10.7 7.9 10.5 9.3 9.1 9.8 9.5 10.3 10.8 7.9 8.4 9.5 8.5 10.0 8.7 11.3 9.6 10.1 9.1 11.7 11.5 8.1 10.8 9.0 7.4 6.4 9.4 7.9 8.4 11.1 9.5 8.5



Under 18 years 35.4 34.3 42.3 36.2 33.4 39.2 36.4 35.6 33.5 24.8 31.3 37.7 33.8 37.9 35.7 34.7 32.0 34.6 34.8 37.3 30.6 37.0 34.2 34.7 34.4 38.3 33.9 31.4 32.8 34.6 35.3 37.0 37.4 34.5 35.5 29.9 33.7 35.2 32.3 32.2 33.3 35.4 33.1 34.1 40.9 44.9 31.6 34.9 33.1 30.5 32.0 32.6



65 years and over 23.0 23.9 13.3 24.1 25.1 21.8 17.9 24.1 24.2 20.3 29.7 18.7 27.8 21.4 22.6 22.1 24.4 22.3 22.8 21.9 24.9 21.4 24.3 22.6 21.2 23.6 23.2 23.4 22.7 21.5 21.0 25.2 23.0 24.7 22.2 24.1 23.4 23.2 22.3 27.3 25.4 22.7 24.0 22.5 19.9 18.6 22.9 21.3 20.1 26.4 22.7 21.0



2003 2.61 2.52 2.75 2.67 2.46 2.92 2.44 2.55 2.61 2.14 2.50 2.68 2.91 2.65 2.67 2.56 2.45 2.50 2.49 2.61 2.37 2.62 2.55 2.53 2.45 2.64 2.42 2.44 2.50 2.65 2.54 2.70 2.63 2.61 2.49 2.39 2.49 2.53 2.47 2.48 2.52 2.56 2.46 2.48 2.82 3.07 2.47 2.56 2.51 2.41 2.46 2.45



2000 2.61 2.51 2.73 2.62 2.49 2.90 2.47 2.55 2.57 2.20 2.48 2.70 3.04 2.69 2.66 2.56 2.47 2.52 2.49 2.62 2.37 2.61 2.54 2.54 2.47 2.67 2.43 2.44 2.50 2.63 2.55 2.71 2.69 2.62 2.53 2.48 2.52 2.54 2.43 2.51 2.48 2.58 2.54 2.50 2.77 3.09 2.45 2.56 2.53 2.45 2.50 2.50



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1



. . . . . .



Includes male householder, no spouse present, not shown separately.



Survey, Census, or Data Collection Method: Based on the American Community Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site . Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—General Demographics, accessed 24 June 2005. See Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



11



Table A-7. States — Marital Status: 2003

Males 15 years and over Females 15 years and over



Percent Geographic area Now married, except separated 56.6 57.9 53.5 55.4 59.4 53.9 57.5 58.3 56.2 35.1 56.7 56.4 54.1 62.0 55.9 58.2 59.3 59.9 60.5 54.4 58.8 55.9 55.7 57.1 58.2 55.5 58.2 58.3 59.2 52.8 58.8 58.2 54.1 53.2 58.2 57.5 56.6 58.9 55.8 56.1 54.0 57.8 59.6 58.8 59.0 60.9 55.9 58.0 55.5 57.9 56.1 58.9 Now married, except separated 51.6 51.3 54.2 52.3 54.7 50.3 55.3 51.1 50.9 28.2 50.2 51.4 52.4 59.7 50.9 53.5 57.2 56.3 55.7 47.7 53.6 49.4 49.0 51.6 55.4 47.6 53.4 55.5 56.6 52.1 55.9 52.3 50.1 46.1 52.6 56.9 51.9 54.7 52.7 50.6 47.7 50.8 58.5 52.7 53.5 59.8 52.0 52.5 52.3 53.6 54.2 57.3



Percent



Total United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107,433 1,643 242 2,065 1,008 13,149 1,739 1,279 299 201 6,412 3,154 480 507 4,651 2,264 1,108 1,010 1,530 1,604 502 2,000 2,372 3,725 1,917 1,017 2,102 353 648 867 491 3,179 692 7,035 3,082 243 4,222 1,282 1,361 4,576 397 1,499 283 2,172 7,965 838 239 2,728 2,339 696 2,072 194



Never married 30.4 27.5 32.4 30.2 24.9 34.3 29.0 30.4 31.2 50.1 27.8 30.5 33.5 25.3 32.4 27.6 27.7 28.0 25.4 31.8 26.4 31.9 32.7 30.2 30.2 29.5 27.9 27.9 28.1 30.9 27.1 30.9 30.9 35.2 28.3 31.7 29.3 26.2 28.5 30.0 32.0 28.1 29.4 26.7 28.8 29.3 29.8 29.8 30.3 27.1 31.0 26.7



Separated 1.7 1.5 1.6 2.0 1.8 1.6 1.7 0.9 1.6 3.4 1.7 1.6 1.5 1.2 1.3 1.3 1.2 1.1 1.3 2.0 1.2 2.5 1.7 0.9 0.9 2.5 1.4 1.3 1.0 2.0 0.9 1.9 1.8 2.4 2.6 0.6 1.4 1.5 2.1 2.2 1.2 2.4 0.8 1.6 1.9 1.2 1.0 2.2 1.3 1.3 1.0 1.4



Widowed 2.5 2.6 1.9 2.2 2.8 2.1 1.7 2.4 2.7 2.9 3.0 2.2 2.6 2.3 2.5 2.3 2.1 2.2 2.6 3.0 2.8 2.4 3.0 2.2 2.0 2.8 2.2 2.5 2.5 2.5 1.9 2.6 2.8 2.6 2.5 2.2 2.7 2.6 2.5 3.3 3.3 2.7 2.0 2.7 2.1 1.6 2.4 2.3 2.3 2.7 2.5 2.4



Divorced 8.9 10.4 10.7 10.2 11.1 8.0 10.1 8.0 8.3 8.6 10.7 9.3 8.3 9.3 7.9 10.7 9.8 8.9 10.2 8.7 10.8 7.3 7.0 9.5 8.7 9.8 10.2 10.0 9.2 11.8 11.3 6.3 10.5 6.5 8.4 8.1 10.0 10.8 11.2 8.4 9.5 9.1 8.2 10.2 8.2 7.1 10.9 7.6 10.6 11.0 9.3 10.7



Total 114,911 1,830 234 2,124 1,081 13,648 1,751 1,401 328 235 6,955 3,359 495 520 4,980 2,424 1,162 1,061 1,649 1,788 539 2,227 2,612 4,012 1,980 1,138 2,273 366 678 852 514 3,480 733 7,822 3,320 248 4,590 1,386 1,423 5,033 439 1,665 294 2,357 8,349 847 251 2,932 2,422 751 2,157 197



Never married 24.8 21.9 23.8 23.7 19.7 27.4 22.8 26.4 25.9 46.0 22.1 25.7 26.2 20.0 26.7 22.3 20.8 21.3 19.4 26.1 21.9 27.2 28.2 26.0 24.7 25.0 22.6 21.5 21.6 22.0 22.4 26.2 24.3 29.9 22.8 22.7 24.3 19.8 22.3 24.7 26.7 25.1 20.8 21.6 23.5 23.9 24.9 23.9 23.6 19.6 24.8 20.3



Separated 2.6 2.7 2.6 2.3 2.3 2.9 1.8 1.7 2.5 4.8 2.8 2.3 1.4 1.4 2.0 1.6 1.3 1.7 2.4 2.5 1.4 3.2 2.7 1.6 1.3 4.1 2.2 1.3 1.3 2.1 1.1 2.6 3.3 4.4 3.5 0.8 2.0 2.2 2.4 2.6 2.5 4.0 1.1 2.4 3.3 1.3 1.0 3.5 1.9 2.2 1.3 1.3



Widowed 9.7 12.1 5.2 9.1 12.0 8.2 7.0 9.1 9.3 10.1 11.5 8.5 9.7 8.5 9.9 10.0 10.1 9.6 10.6 11.1 10.7 9.6 10.0 9.6 8.4 11.3 10.2 9.9 9.7 9.0 8.3 10.2 9.2 10.3 10.7 10.8 10.1 10.4 9.8 12.1 11.7 10.0 10.7 10.3 8.6 6.2 9.4 9.2 8.1 12.3 9.1 8.2



Divorced 11.3 12.0 14.3 12.7 11.3 11.2 13.2 11.8 11.5 10.9 13.4 12.1 10.3 10.4 10.5 12.6 10.6 11.1 12.0 12.7 12.5 10.7 10.1 11.3 10.2 12.1 11.6 11.8 10.8 14.8 12.3 8.7 13.1 9.4 10.4 8.9 11.8 12.9 12.9 10.0 11.4 10.0 8.9 13.0 11.2 8.8 12.7 10.9 14.1 12.4 10.6 12.9



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



Survey, Census, or Data Collection Method: Based on the American Community Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site . Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Social Characteristics, accessed 24 June 2005. See Internet site .



12



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-8. States — Residence 1 Year Ago, Immigrants, and Language Spoken at Home

Residence one year ago Immigrants Language spoken at home, 2003 Language other than English, percent



Geographic area



Population 1 year and over, 2003 (1,000) 279,118 4,331 620 5,376 2,614 34,161 4,385 3,322 781 523 16,419 8,324 1,205 1,310 12,166 5,933 2,807 2,605 3,948 4,300 1,260 5,306 6,141 9,697 4,855 2,747 5,459 883 1,664 2,175 1,237 8,335 1,810 18,378 8,037 602 10,988 3,354 3,435 11,783 1,027 3,962 726 5,613 21,203 2,264 593 7,054 5,915 1,746 5,256 481



Percent who lived in same house 84.9 85.2 80.8 80.4 81.9 84.7 81.6 87.7 86.8 84.3 82.4 84.2 85.0 81.4 85.9 83.6 85.1 81.6 85.3 85.8 87.1 86.6 87.8 86.5 85.6 84.8 83.7 85.7 82.4 81.7 86.8 88.2 83.1 89.5 84.3 87.3 85.6 83.6 80.8 88.5 88.5 84.3 85.4 84.4 83.1 82.3 86.9 84.4 81.1 89.0 84.9 82.2

1



Total



Leading countries of origin, 2003 Population 5 years and over (1,000) 263,230 4,088 582 5,032 2,461 32,116 4,124 3,158 738 495 15,572 7,780 1,137 1,230 11,442 5,596 2,661 2,450 3,733 4,039 1,204 5,007 5,822 9,178 4,591 2,578 5,160 840 1,569 2,045 1,179 7,887 1,708 17,395 7,557 573 10,396 3,163 3,257 11,218 976 3,736 683 5,310 19,751 2,083 567 6,667 5,600 1,664 4,978 456



2003 703,542

1



2002 1,063,732 2,570 1,564 17,719 2,535 291,216 12,060 11,243 1,862 2,723 90,819 20,555 5,503 2,236 47,235 6,853 5,591 4,508 4,681 3,199 1,269 23,751 31,615 21,787 13,522 1,155 8,610 422 3,657 9,499 3,009 57,721 3,399 114,827 12,910 776 13,875 4,229 12,125 19,473 3,067 2,966 902 5,694 88,365 4,889 1,007 25,411 25,704 636 6,498 281

1



2001 1,064,318 2,257 1,401 16,362 2,572 282,957 12,494 12,148 1,850 3,043 104,715 19,431 6,313 2,296 48,296 6,010 5,029 4,030 4,548 3,778 1,186 22,060 28,965 21,528 11,166 1,340 7,616 488 3,850 9,618 2,595 59,920 5,207 114,116 13,918 558 14,725 3,492 9,638 21,441 2,820 2,882 671 6,257 86,315 5,247 954 26,876 23,085 737 8,477 308

1



2000 849,807 1,904 1,374 11,980 1,596 217,753 8,216 11,346 1,570 2,542 98,391 14,778 6,056 1,922 36,180 4,128 3,052 4,582 2,989 3,016 1,133 17,705 23,483 16,773 8,671 1,083 6,053 493 2,230 7,827 2,001 40,013 3,973 106,061 9,251 420 9,263 4,586 8,543 18,148 2,526 2,267 465 4,882 63,840 3,710 810 20,087 18,486 573 5,057 248

1



Mexico 115,585 250 69 5,722 688 51,269 3,275 84 101 29 1,567 1,482 51 586 6,044 901 693 883 232 133 17 324 124 625 398 77 439 23 882 1,730 22 569 1,256 1,198 1,175 9 274 543 1,487 514 30 186 33 281 25,342 755 5 474 1,965 13 603 75

1



India 50,228 114 14 322 84 9,508 468 722 244 85 1,219 1,023 13 38 4,536 437 215 415 248 171 28 1,339 1,463 1,864 651 74 449 4 119 83 206 7,442 77 4,138 868 14 1,743 175 336 1,964 71 198 27 308 2,770 65 30 2,036 1,231 87 453 4

1



China 40,568 113 43 299 63 11,573 632 403 99 132 694 387 397 107 1,609 346 307 212 194 118 95 1,071 1,718 762 386 44 379 28 108 232 174 1,688 56 8,356 749 11 767 91 503 1,314 94 105 26 203 1,221 166 38 1,000 960 32 345 21

1



Philippines 45,250 77 405 433 72 18,134 240 299 61 215 1,668 340 3,050 56 2,116 230 77 134 150 101 84 1,284 350 451 419 49 261 30 70 1,159 101 2,639 65 1,830 419 14 417 107 301 473 48 209 24 221 1,995 74 16 1,154 1,626 32 228 17

1



Vietnam 22,087 65 22 278 74 9,230 418 129 21 28 571 447 175 25 391 105 190 240 81 225 37 329 683 237 364 57 265 3 212 87 23 431 84 463 323 12 182 191 430 567 28 44 15 110 2,201 129 19 691 1,076 10 56 5

1



El Salvador 28,231 13 11 146 351 13,683 156 46 26 416 411 133 3 12 251 100 86 77 11 16 17 1,440 829 37 57 8 25 – 93 420 9 631 12 4,065 181 – 29 10 71 71 56 6 (D) 66 2,369 78 3 1,581 86 3 15 –

1



Cuba 9,262 11 4 99 (D) 300 17 32 3 4 6,303 32 – – 42 8 (D) 11 331 65 (D) 28 28 143 8 9 35 (D) 9 263 (D) 413 61 257 35 – 9 5 96 56 3 3 – 18 282 9 (D) 48 18 (D) 14 –



Bosnia and Herzegovina

1



Total 18.4 3.4 12.6 26.4 4.6 40.8 15.0 17.7 10.2 17.8 24.2 10.6 23.6 10.4 20.2 7.8 5.6 8.2 4.0 7.9 7.4 13.0 19.3 8.6 9.2 3.0 5.3 4.1 7.9 24.0 8.1 26.3 36.0 27.5 8.2 5.8 5.6 6.9 12.5 8.1 19.4 4.9 4.9 4.7 32.5 11.9 5.1 12.0 13.7 2.1 7.8 5.0



Spanish 11.3 2.0 2.9 20.7 3.2 27.0 10.7 8.3 5.2 9.7 17.7 6.1 1.4 7.2 11.9 3.6 3.0 4.5 1.9 2.2 0.7 4.7 6.6 2.7 3.0 1.6 1.9 1.3 4.9 17.4 1.6 13.0 28.2 14.1 5.2 1.4 1.8 4.0 7.2 3.0 8.6 2.7 1.5 2.5 28.2 7.8 0.6 4.8 5.4 0.8 3.9 3.5



United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



6,155 9 – 156 – 199 84 179 (D) 5 519 244 (D) 145 336 129 429 12 191 18 4 22 65 317 162 (D) 661 – 51 26 131 40 (D) 470 95 40 222 5 50 219 11 5 43 127 177 105 45 160 165 – 77 –



1,689 1,188 10,955 1,903 175,579 10,661 8,274 1,487 2,491 52,770 10,794 4,899 1,686 32,413 5,241 3,419 3,804 3,038 2,214 992 17,770 20,127 13,515 8,406 729 6,160 453 2,827 6,336 1,868 40,699 2,336 89,538 9,451 331 9,787 2,385 6,946 14,606 2,492 1,942 487 3,367 53,412 3,159 550 19,726 17,935 483 4,357 253



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



– Represents zero.

1



D Figures withheld to avoid disclosure.



U.S. totals include data for U.S. Armed Services Posts, U.S. Possessions, and Unknown.



Survey, Census, or Data Collection Method: Residence and language spoken—Based on the American Community Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Immigrants—Based on U.S. application Citizenship and Immigration Services (USCIS)-based case management systems that compile information supplied by aliens on the forms they are required to submit when applying for a legal status; for information, see Internet site . Sources: Residence and language spoken—U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Social Characteristics, accessed 24 June 2005. See Internet site ; Immigrants—U.S. Department of Homeland Security, Office of Immigration Statistics, 2003 Yearbook of Immigration Statistics, see Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



13



Table A-9. States — Place of Birth: 2003

Percent Foreign born Percent Geographic area Born in state of residence 59.6 73.9 38.2 35.4 61.8 51.2 42.1 56.2 49.7 41.5 33.8 58.3 58.7 48.8 66.3 71.8 74.4 59.4 72.8 79.9 64.0 48.8 65.0 75.2 69.1 73.0 66.6 55.2 68.4 23.2 42.2 53.2 50.7 65.5 63.8 71.3 74.2 61.0 45.3 77.7 60.3 61.2 67.4 64.0 61.0 63.3 55.7 51.2 47.6 72.5 71.1 43.3 Born in — Asia Born in different state 27.3 22.9 53.7 49.6 34.6 21.2 47.0 29.6 42.8 42.6 45.9 32.8 21.7 44.7 19.5 24.0 21.9 34.4 24.2 16.5 32.1 39.5 19.1 18.3 24.2 24.9 29.4 42.2 26.2 58.5 51.8 25.5 38.3 11.2 29.2 25.3 21.9 33.6 45.1 16.6 26.1 34.5 30.4 32.3 22.2 28.5 39.9 38.2 40.7 25.7 24.1 53.8 Foreign born 11.9 2.4 6.1 13.8 3.2 26.5 9.7 11.4 6.1 14.9 17.6 7.9 17.0 5.9 13.3 3.7 3.3 5.5 2.3 3.0 3.0 10.6 13.7 5.9 6.1 1.6 3.4 1.8 4.8 17.2 5.1 19.2 10.0 20.8 6.2 2.7 3.4 4.5 8.7 4.6 11.6 3.4 1.7 3.1 15.6 7.3 3.5 9.2 10.3 1.5 4.2 2.2 Total (1,000) 33,534 105 38 757 83 9,187 433 385 49 79 2,928 667 208 79 1,634 221 94 144 92 130 38 571 850 582 299 44 188 16 80 380 63 1,621 184 3,874 503 16 377 153 301 553 120 135 13 178 3,358 167 21 657 614 26 225 11 Not a citizen 58.6 67.6 46.0 70.1 72.6 58.4 67.1 56.1 57.5 69.7 54.2 69.3 42.9 68.0 57.1 68.0 68.8 63.0 70.7 53.2 42.3 55.3 52.9 58.2 58.5 67.4 58.7 44.0 66.2 66.0 56.4 53.6 73.2 49.1 76.5 50.5 51.7 65.5 63.3 49.3 52.6 63.6 55.5 68.3 68.9 68.6 45.6 59.6 55.4 49.8 62.1 63.6 Entered 1990 or later 49.4 64.1 46.3 56.4 60.1 43.0 60.0 46.5 55.5 61.3 46.8 67.2 43.3 66.0 50.6 66.3 68.8 63.6 70.1 43.6 33.2 53.1 48.0 56.2 57.5 58.7 60.7 36.6 66.9 54.8 46.2 50.2 50.6 44.4 70.8 51.9 50.7 61.2 54.2 49.9 40.7 54.7 55.2 66.6 52.7 60.2 49.2 56.6 51.5 42.9 56.0 51.9 Philippines 4.3 0.2 28.0 2.1 1.3 7.2 1.5 1.8 4.8 3.1 1.6 1.6 44.8 1.7 4.4 3.9 2.6 2.2 2.4 2.5 3.5 3.8 1.5 3.4 2.5 3.5 3.4 4.0 2.2 11.7 2.0 4.4 1.6 2.0 1.2 4.2 1.8 1.6 2.3 2.6 1.1 4.1 7.1 1.2 1.6 0.4 0.5 5.6 10.5 5.3 3.3 1.6 Latin America



Total population (1,000) United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282,910 4,385 630 5,471 2,650 34,651 4,448 3,371 792 529 16,618 8,438 1,222 1,333 12,329 6,017 2,840 2,642 4,003 4,361 1,271 5,372 6,219 9,826 4,920 2,785 5,535 892 1,688 2,208 1,252 8,444 1,838 18,601 8,147 609 11,135 3,397 3,482 11,922 1,037 4,009 735 5,689 21,548 2,310 598 7,152 5,990 1,766 5,316 487



Europe 14.2 18.3 20.0 9.5 11.0 7.5 16.1 34.1 21.7 15.8 11.3 11.3 6.0 17.2 25.0 19.5 17.7 9.6 26.2 12.3 29.8 14.9 30.7 25.0 16.9 15.3 25.8 40.0 11.7 8.2 32.0 21.2 7.5 20.1 11.5 26.5 34.2 10.7 19.3 29.8 29.6 19.2 31.3 14.4 4.5 14.4 38.1 15.6 19.8 17.7 22.2 28.2



Total 27.3 24.7 50.8 12.4 22.5 34.3 19.8 21.0 34.4 17.5 9.2 25.3 77.6 18.0 23.6 27.2 36.6 40.6 37.1 44.8 18.8 35.4 26.5 44.7 41.3 33.4 38.1 21.2 32.6 25.2 27.8 28.6 8.8 24.7 21.9 28.2 36.4 31.9 27.4 38.1 17.5 25.2 29.2 35.5 16.4 16.0 22.5 40.7 42.9 42.3 32.2 18.2



China 5.1 11.1 2.9 1.8 1.9 7.0 4.0 3.8 4.5 2.9 1.2 3.6 10.6 3.4 3.7 3.3 6.0 7.1 2.3 6.2 2.9 7.7 6.3 4.0 3.2 5.5 6.2 4.2 5.1 1.9 4.6 5.0 1.8 8.0 3.9 7.3 6.5 2.7 4.7 4.8 2.8 3.0 4.7 5.1 2.5 1.9 6.0 3.6 5.8 1.7 3.5 6.8



India 3.9 3.8 1.2 1.4 2.1 2.8 0.8 6.2 14.5 1.6 1.6 4.5 0.2 3.2 5.4 5.4 5.2 9.7 7.7 5.8 1.3 6.2 5.0 10.0 5.3 7.7 5.8 0.3 2.1 0.8 8.1 9.0 1.2 3.4 5.2 8.1 9.9 4.0 3.8 8.6 1.6 3.3 1.5 7.3 2.7 2.8 2.4 5.4 4.9 12.5 6.1 3.2



Korea 2.8 4.7 9.8 1.2 1.1 3.2 5.6 1.0 2.5 1.1 0.6 3.5 6.5 5.8 2.3 3.5 4.2 3.0 10.3 3.1 1.0 4.4 1.1 4.3 4.5 1.3 2.4 3.7 3.1 2.1 2.6 3.4 1.3 2.7 2.1 3.6 3.1 4.3 4.8 5.9 1.0 3.8 2.9 3.8 1.2 1.7 1.8 5.9 5.7 10.6 3.5 3.1



Vietnam 3.2 0.8 0.6 2.3 6.3 4.7 3.7 1.7 0.6 1.9 1.5 5.0 2.0 0.9 1.8 0.9 8.2 6.2 1.0 15.4 5.7 2.7 4.2 1.5 5.4 9.0 5.9 2.1 8.5 1.2 0.9 0.7 0.3 0.5 2.9 1.0 2.1 9.9 5.3 5.7 0.7 4.2 5.9 3.1 3.2 4.8 7.4 5.5 6.2 2.6 1.2 –



Total 52.3 43.5 18.5 72.6 60.2 54.8 57.4 36.1 35.3 50.8 74.0 54.1 4.2 57.6 48.7 46.7 39.3 40.9 28.6 36.8 4.5 33.7 32.1 18.2 21.1 47.4 23.0 9.6 47.5 62.2 16.6 43.6 77.9 50.1 57.2 15.6 16.0 51.7 45.0 22.2 36.3 43.1 18.9 42.5 75.4 56.7 6.9 32.8 26.2 27.3 40.6 44.0



Mexico 29.9 31.9 7.6 67.1 51.7 43.2 50.0 4.8 19.0 2.8 7.4 34.9 3.1 51.0 40.7 37.2 31.6 32.4 17.1 6.3 0.8 4.4 0.6 11.2 13.9 27.6 13.1 4.6 34.7 48.4 3.9 4.4 74.5 4.0 41.0 6.7 7.9 45.4 39.5 7.2 2.3 27.5 8.5 31.5 66.8 43.7 0.6 4.9 20.4 7.3 30.8 37.1



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



– Represents zero. Survey, Census, or Data Collection Method: Based on the American Community Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site . Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Social Characteristics, accessed 24 June 2005, see Internet site ; and ‘‘PCT027. Place of Birth for the Foreign-Born Population,’’ see Internet site .



14



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-10. States — Live Births and Birth Rates

Rate1 Percent with low birth weight2 Percent to teenage mothers3



Total Geographic area



Percent to unmarried women



2003 prel. United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,091,063 59,621 10,122 91,005 38,159 540,995 69,363 42,848 11,264 7,606 212,286 136,012 18,114 21,802 182,590 86,600 38,182 39,493 55,281 65,298 13,861 74,856 80,250 130,937 70,157 42,362 77,079 11,416 25,924 33,644 14,393 116,269 27,845 254,187 118,308 7,975 151,983 50,484 45,975 140,660 13,192 55,658 11,035 78,901 381,239 49,870 6,591 101,226 80,474 20,908 70,053 6,708



2000 4,058,814 63,299 9,974 85,273 37,783 531,959 65,438 43,026 11,051 7,666 204,125 132,644 17,551 20,366 185,036 87,699 38,266 39,666 56,029 67,898 13,603 74,316 81,614 136,171 67,604 44,075 76,463 10,957 24,646 30,829 14,609 115,632 27,223 258,737 120,311 7,676 155,472 49,782 45,804 146,281 12,505 56,114 10,345 79,611 363,414 47,353 6,500 98,938 81,036 20,865 69,326 6,253



1990 4,158,212 63,487 11,902 68,995 36,457 612,628 53,525 50,123 11,113 11,850 199,339 112,666 20,489 16,433 195,790 86,214 39,409 39,020 54,362 72,192 17,359 80,245 92,654 153,700 68,013 43,563 79,260 11,613 24,380 21,599 17,569 122,289 27,402 297,576 104,525 9,250 166,913 47,649 42,891 171,961 15,195 58,610 10,999 74,962 316,423 36,277 8,273 99,352 79,251 22,585 72,895 6,985



2003 prel. 14.1 13.2 15.6 16.3 14.0 15.2 15.2 12.3 13.8 13.5 12.5 15.7 14.4 16.0 14.4 14.0 13.0 14.5 13.4 14.5 10.6 13.6 12.5 13.0 13.9 14.7 13.5 12.4 14.9 15.0 11.2 13.5 14.9 13.2 14.1 12.6 13.3 14.4 12.9 11.4 12.3 13.4 14.4 13.5 17.2 21.2 10.6 13.7 13.1 11.5 12.8 13.4



2000 14.4 14.2 15.9 16.6 14.1 15.7 15.2 12.6 14.1 13.4 12.8 16.2 14.5 15.7 14.9 14.4 13.1 14.8 13.9 15.2 10.7 14.0 12.9 13.7 13.7 15.5 13.7 12.1 14.4 15.4 11.8 13.7 15.0 13.6 14.9 12.0 13.7 14.4 13.4 11.9 11.9 14.0 13.7 14.0 17.4 21.2 10.7 14.0 13.7 11.5 12.9 12.7



1990 16.7 15.7 21.6 18.8 15.5 20.6 16.2 15.2 16.7 19.5 15.4 17.4 18.5 16.3 17.1 15.6 14.2 15.7 14.8 17.1 14.1 16.8 15.4 16.5 15.5 16.9 15.5 14.5 15.4 18.0 15.8 15.8 18.1 16.5 15.8 14.5 15.4 15.1 15.1 14.5 15.1 16.8 15.8 15.4 18.6 21.1 14.7 16.1 16.3 12.6 14.9 15.4



2003 prel. 7.9 10.0 6.0 7.1 8.9 6.6 9.0 7.5 9.4 10.9 8.5 9.0 8.6 6.5 8.3 7.8 6.6 7.4 8.7 10.7 6.5 9.1 7.6 8.2 6.3 11.4 8.0 6.8 6.9 8.1 6.2 8.1 8.5 7.9 9.0 6.5 8.3 7.7 6.1 7.9 8.7 10.0 6.6 9.4 7.9 6.5 7.1 8.2 6.1 8.6 6.8 8.9



2000 7.6 9.7 5.6 7.0 8.6 6.2 8.4 7.4 8.6 11.9 8.0 8.6 7.5 6.7 7.9 7.4 6.1 6.9 8.2 10.3 6.0 8.6 7.1 7.9 6.1 10.7 7.6 6.2 6.8 7.2 6.3 7.7 8.0 7.7 8.8 6.4 7.9 7.5 5.6 7.7 7.2 9.7 6.2 9.2 7.4 6.6 6.1 7.9 5.6 8.3 6.5 8.3



1990 7.0 8.4 4.8 6.4 8.2 5.8 8.0 6.6 7.6 15.1 7.4 8.7 7.1 5.7 7.6 6.6 5.4 6.2 7.1 9.2 5.1 7.8 5.9 7.6 5.1 9.6 7.1 6.2 5.3 7.2 4.9 7.0 7.4 7.6 8.0 5.5 7.1 6.6 5.0 7.1 6.2 8.7 5.1 8.2 6.9 5.7 5.3 7.2 5.3 7.1 5.9 7.4



2003 prel. 10.3 13.9 10.6 12.9 15.1 9.3 9.8 6.7 10.8 11.4 10.9 11.9 8.4 9.6 9.7 11.0 8.7 10.4 12.5 14.9 8.2 8.6 5.9 9.5 7.1 16.2 11.4 10.6 9.0 11.3 5.7 6.2 16.5 7.0 11.4 7.9 10.5 13.9 9.1 9.0 8.2 13.3 9.4 13.2 13.8 6.7 6.4 8.9 8.5 12.3 9.0 12.1



2000 11.8 15.7 11.8 14.3 17.3 10.6 11.7 7.8 12.3 14.2 12.6 13.9 10.3 11.6 11.4 12.5 10.0 12.0 14.1 17.0 9.4 9.9 6.6 10.5 8.3 18.8 13.1 11.6 10.2 12.7 6.8 7.1 17.4 8.2 13.0 9.2 12.1 15.9 11.3 9.9 10.2 15.3 11.6 14.7 15.3 8.9 8.0 9.9 10.2 15.9 10.2 13.5



1990 12.8 18.2 9.7 14.2 19.7 11.6 11.3 8.2 11.9 17.8 13.9 16.7 10.5 12.3 13.1 14.5 10.2 12.3 17.5 17.6 10.8 10.5 8.0 13.5 8.0 21.3 14.4 11.5 9.8 12.6 7.2 8.4 16.3 9.1 16.2 8.6 13.8 16.2 12.0 10.9 10.5 17.1 10.8 17.6 15.6 10.3 8.5 11.7 10.8 17.8 10.2 13.6



2003 prel. 34.6 35.0 34.6 41.5 38.0 33.5 26.7 30.1 42.0 53.5 39.9 38.1 33.4 22.3 35.3 37.1 29.9 31.5 33.8 47.6 33.6 34.8 27.8 34.7 27.7 46.5 35.6 32.2 29.7 39.0 24.8 29.5 48.4 36.5 35.3 28.6 36.1 36.9 31.7 33.9 35.6 41.3 34.2 37.2 34.2 17.2 29.9 30.4 28.8 34.6 30.4 32.6



2000 33.2 34.3 33.0 39.3 35.7 32.7 25.0 29.3 37.9 60.3 38.2 37.0 32.2 21.6 34.5 34.7 28.0 29.0 31.0 45.6 31.0 34.6 26.5 33.3 25.8 46.0 34.6 30.8 27.2 36.4 24.7 28.9 45.6 36.6 33.3 28.3 34.6 34.3 30.1 32.7 35.5 39.8 33.5 34.5 30.5 17.3 28.1 29.9 28.2 31.7 29.3 28.8



1990 26.6 30.1 26.2 32.7 29.4 31.6 21.2 26.6 29.0 64.9 31.7 32.8 24.8 16.7 31.7 26.2 21.0 21.5 23.6 36.8 22.6 29.6 24.7 26.2 20.9 40.5 28.6 23.7 20.7 25.4 16.9 24.3 35.4 33.0 29.4 18.4 28.9 25.2 25.7 28.6 26.3 32.7 22.9 30.2 17.5 13.5 20.1 26.0 23.7 25.4 24.2 19.8



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1 2 3



. . . . . .



Per 1,000 estimated population. Less than 2,500 grams (5 pounds 8 ounces). Defined as mothers who are 19 years of age or younger. Based on the National Vital Statistics System; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site



Survey, Census, or Data Collection Method: .



Source: U.S. National Center for Health Statistics, Vital Statistics of the United States, annual; National Vital Statistics Report (NVSR), formerly Monthly Vital Statistics Report; see also .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



15



Table A-11. States — Births and Birth Rates by Race and Hispanic Origin and Fertility



Rate: 2002

Births Geographic area All races2 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,021,726 58,967 9,938 87,837 37,437 529,357 68,418 42,001 11,090 7,498 205,579 133,300 17,477 20,970 180,622 85,081 37,559 39,412 54,233 64,872 13,559 73,323 80,645 129,967 68,025 41,518 75,251 11,049 25,383 32,571 14,442 114,751 27,753 251,415 117,335 7,757 148,720 50,387 45,192 142,850 12,894 54,570 10,698 77,482 372,450 49,182 6,387 99,672 79,028 20,712 68,560 6,550 White NonHispanic 2,298,156 37,402 4,427 39,033 26,001 164,649 41,858 27,685 6,629 1,733 102,294 68,269 3,200 17,074 99,346 67,894 32,709 29,563 46,811 35,428 12,852 39,093 58,313 93,831 52,744 21,749 59,079 8,967 19,121 15,638 12,690 61,741 8,759 130,189 70,234 6,499 117,990 34,370 32,949 108,620 7,356 32,203 8,376 55,316 137,618 39,533 6,131 61,694 53,387 19,749 53,820 5,540 Black NonHispanic 578,335 18,276 267 2,545 7,415 31,450 2,761 4,932 2,684 4,563 45,257 42,001 442 100 31,604 9,271 1,243 2,846 4,923 26,611 167 24,007 6,635 22,217 4,750 18,191 10,983 32 1,416 2,534 182 18,010 475 45,206 27,434 87 22,354 4,676 897 19,727 1,027 18,143 103 16,267 41,007 312 43 21,920 3,263 677 6,349 53 American Indian 42,368 164 2,438 5,701 257 3,033 662 224 29 7 1,075 326 171 377 264 157 234 448 103 412 116 239 191 683 1,358 268 353 1,395 403 540 48 172 3,548 693 1,657 815 288 5,160 804 353 157 168 1,805 157 834 685 10 125 1,920 11 1,051 279 Asian or Pacific Islander 210,907 533 691 2,314 544 65,122 2,397 1,928 428 194 5,411 4,388 12,878 339 8,362 1,283 950 1,170 788 1,044 220 3,672 5,421 4,254 3,782 430 1,496 105 558 2,441 478 10,134 413 19,920 2,897 90 2,998 1,015 2400 4,415 556 846 133 1,394 12,824 1586 94 6,048 7,196 145 2,112 70 Hispanic3 876,642 2,569 799 37,938 3,050 263,061 21,029 6,982 1,316 954 51,619 16,819 2,422 2,788 41,022 6,169 2,390 5,023 1,630 1,383 167 6,062 9,592 7,265 4,646 823 3,267 382 3,313 11,386 503 24,664 14,623 54,700 15,064 149 4,817 5,259 8,040 8,696 2,328 3,175 318 4,348 178,968 6,952 32 9,790 12,349 84 5,295 622 All races2 13.9 13.1 15.4 16.1 13.8 15.1 15.2 12.1 13.7 13.1 12.3 15.6 14.0 15.6 14.3 13.8 12.8 14.5 13.3 14.5 10.5 13.4 12.5 12.9 13.6 14.5 13.3 12.1 14.7 15.0 11.3 13.4 15.0 13.1 14.1 12.2 13.0 14.4 12.8 11.6 12.1 13.3 14.1 13.4 17.1 21.2 10.4 13.7 13.0 11.5 12.6 13.1 White, nonHispanic 11.7 11.9 13.0 11.6 12.3 10.3 12.5 10.4 11.3 10.9 9.5 13.0 9.7 14.7 11.7 12.9 12.1 13.3 12.8 12.6 10.3 11.6 11.1 12.0 12.1 12.6 12.4 11.2 13.1 11.2 10.9 11.0 10.6 11.1 12.1 11.3 12.3 13.0 11.2 10.5 10.0 11.9 12.5 12.0 12.3 20.1 10.4 12.1 11.3 11.6 11.3 12.4 Black, nonHispanic 16.1 15.4 14.9 15.1 17.0 13.4 14.7 15.1 17.2 13.6 17.7 17.3 13.5 12.8 16.5 17.3 17.5 17.2 15.8 18.1 18.7 15.7 17.4 15.3 23.8 17.2 16.6 7.9 18.9 16.9 16.3 15.4 13.1 15.1 15.1 16.0 16.5 16.5 13.2 15.9 19.9 14.8 14.3 16.8 16.7 13.7 10.2 15.0 14.4 11.0 19.5 11.2 American Indian 13.8 6.4 22.3 19.1 12.5 6.3 11.2 16.8 8.4 (S) 14.5 11.1 37.5 17.7 5.7 7.6 21.3 14.6 9.9 14.5 14.0 11.8 8.9 9.3 21.3 20.4 11.1 22.7 23.0 15.4 12.1 5.6 18.6 5.6 14.9 25.2 8.8 16.4 14.0 14.1 22.7 10.3 27.3 8.5 5.2 19.4 (S) 4.6 16.8 (S) 19.2 22.5 Asian or Pacific Islander 16.5 13.1 20.6 17.8 19.9 14.8 18.6 18.5 20.4 10.3 15.2 20.2 15.5 19.4 16.4 16.5 19.8 19.4 20.1 15.6 18.9 14.4 18.8 19.1 22.2 18.0 18.2 16.1 19.0 20.0 23.4 17.9 14.9 15.8 19.6 17.7 17.4 16.2 17.5 16.6 18.1 17.6 21.5 18.9 18.3 24.0 14.6 18.8 17.3 11.9 19.4 17.9 Hispanic3 22.6 29.8 28.3 25.7 31.4 22.0 25.7 20.2 31.9 18.2 17.1 32.6 26.6 24.5 24.4 26.1 26.7 24.3 23.7 12.1 16.2 23.6 20.5 20.8 29.3 19.2 25.7 20.0 32.0 24.6 22.4 20.2 18.4 17.8 33.9 18.2 21.0 27.3 25.7 20.9 23.5 29.1 27.7 31.1 24.5 31.0 5.5 25.9 25.2 6.7 25.3 18.6 Fertility rate4 64.8 61.2 73.5 77.8 66.6 68.3 69.3 58.8 62.2 52.9 62.5 68.4 68.6 73.8 66.1 64.8 61.7 68.7 60.5 65.4 49.8 60.6 56.7 60.7 62.0 65.7 62.1 60.3 69.5 72.5 52.4 63.5 70.7 59.8 65.4 58.7 61.7 68.8 61.9 56.4 54.6 60.7 68.3 62.2 77.1 90.6 48.9 61.9 60.2 57.0 59.0 63.6 Birth rates1



Total 3,174,760 39,978 6,377 77,043 29,209 428,549 62,425 34,654 7,925 2,677 152,855 85,809 3,953 20,151 140,163 74,309 35,112 34,904 48,399 36,757 13,049 45,198 66,689 102,590 58,023 22,618 62,374 9,512 22,980 26,979 13,691 84,493 23,281 181,212 85,210 6,762 122,887 39,508 41,047 117,817 11,036 35,373 8,657 59,627 317,150 46,572 6,239 71,415 66,519 19,877 58,979 6,147



Total 593,691 18,292 432 2,779 7,427 32,653 2,934 5,195 2,708 4,620 46,238 42,777 475 103 31,833 9,332 1,263 2,890 4,943 26,659 174 24,214 8,344 22,440 4,862 18,202 11,028 37 1,442 2,611 225 19,952 511 49,590 27,571 90 22,547 4,704 941 20,265 1,145 18,183 103 16,304 41,642 339 44 22,084 3,393 679 6,418 54



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



S Figure does not meet standards of reliability or precision; based on fewer than 20 births or fewer than 1,000 women in specified group.

1 2 3



Per 1,000 estimated population. Includes other races not shown separately. Persons of Hispanic origin may be any race. Births by Hispanic origin of mother. 4 Number of births per 1,000 women age 15–44 years estimated. Survey, Census, or Data Collection Method: . Based on the National Vital Statistics System; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site



Source: U.S. National Center for Health Statistics, Vital Statistics of the United States, annual; and National Vital Statistics Report (NVSR), formerly Monthly Vital Statistics Report, and unpublished data. See also Internet site .



16



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-12. States — Deaths and Death Rates

All races Number of deaths by race, 2002



Geographic area



Number (1,000)



Rate1 Asian or Pacific Islander 38,332 71 90 272 94 16,061 285 145 40 58 657 362 6,300 52 1,163 86 75 94 70 170 25 518 530 351 315 65 186 17 43 464 25 1,055 50 2,942 230 4 316 128 335 506 62 103 6 164 1,342 172 5 685 1,332 12 191 8 American Indian, Eskimo, or Aleut 12,415 46 697 1,597 51 1,060 146 58 13 2 174 101 33 113 70 31 28 144 10 71 53 79 38 401 365 79 72 437 108 157 13 59 974 197 629 230 49 1,794 295 53 26 39 494 32 143 140 5 39 573 4 293 100



2002 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,443 46 3 43 29 235 29 30 7 6 168 65 9 10 107 55 28 25 41 42 13 44 57 88 39 29 56 9 16 17 10 74 14 158 72 6 110 36 31 130 10 38 7 57 156 13 5 57 45 21 47 4



2001 2,416 45 3 41 28 234 28 30 7 6 167 64 8 10 105 55 28 25 40 42 12 44 57 86 38 28 55 8 15 16 10 75 14 159 71 6 108 35 30 130 10 37 7 55 153 13 5 56 45 21 47 4



2000 2,403 45 3 41 28 230 27 30 7 6 164 64 8 10 107 55 28 25 40 41 12 44 57 87 38 29 55 8 15 15 10 75 13 158 72 6 108 35 30 131 10 37 7 55 150 12 5 56 44 21 46 4



1990 2,148 39 2 29 25 214 22 28 6 7 134 52 7 7 103 50 27 22 35 38 11 38 53 79 35 25 50 7 15 9 8 70 11 169 57 6 99 30 25 122 10 30 6 46 125 9 5 48 37 19 43 3



2002 8.5 10.3 4.7 7.8 10.5 6.7 6.5 8.7 8.5 10.2 10.0 7.6 7.1 7.4 8.5 9.0 9.5 9.2 9.9 9.4 9.8 8.1 8.9 8.7 7.7 10.0 9.9 9.4 9.1 7.8 7.7 8.6 7.7 8.3 8.7 9.3 9.6 10.2 8.8 10.6 9.6 9.2 9.1 9.8 7.1 5.7 8.2 7.8 7.5 11.7 8.6 8.4



2001 8.5 10.1 4.7 7.7 10.3 6.8 6.4 8.7 8.9 10.4 10.2 7.7 6.8 7.4 8.4 9.0 9.5 9.1 9.8 9.3 9.7 8.1 8.9 8.6 7.6 9.9 9.8 9.1 8.8 7.8 7.8 8.8 7.7 8.3 8.6 9.5 9.5 10.0 8.7 10.5 9.5 9.0 9.1 9.6 7.1 5.6 8.5 7.8 7.4 11.6 8.6 8.2



2000 8.5 10.1 4.6 7.9 10.6 6.8 6.3 8.8 8.8 10.5 10.3 7.8 6.8 7.4 8.6 9.1 9.6 9.2 9.8 9.2 9.7 8.3 8.9 8.7 7.7 10.1 9.8 9.0 8.8 7.6 7.8 8.9 7.4 8.3 8.9 9.1 9.5 10.2 8.6 10.7 9.6 9.2 9.3 9.7 7.2 5.5 8.4 8.0 7.5 11.7 8.7 7.9



1990 8.6 9.7 4.0 7.9 10.5 7.2 6.6 8.4 8.7 12.0 10.4 8.0 6.1 7.4 9.0 8.9 9.7 9.0 9.5 8.9 9.0 8.0 8.8 8.5 7.9 9.8 9.8 8.6 9.4 7.8 7.7 9.1 7.0 9.4 8.6 8.9 9.1 9.7 8.8 10.3 9.5 8.5 9.1 9.5 7.4 5.3 8.2 7.8 7.6 10.8 8.7 7.1



White 2,102,589 34,727 2,155 39,977 24,392 198,718 27,757 27,920 5,698 1,136 149,141 47,256 2,400 9,733 88,997 50,838 27,503 23,470 37,916 28,808 12,593 31,633 54,031 74,310 37,061 19,232 50,002 8,035 15,111 15,194 9,785 63,387 13,079 132,850 55,897 5,646 97,547 31,381 30,107 117,679 9,854 26,792 6,386 47,895 134,753 12,709 5,049 44,715 42,295 20,351 44,632 4,056



Black 290,051 11,225 88 970 3,976 18,726 1,022 1,999 1,110 4,655 17,842 17,730 68 25 16,437 4,441 372 1,313 2,701 12,935 23 11,740 2,329 12,733 769 9,477 5,680 17 476 1,112 30 9,508 241 22,129 15,271 12 11,854 2,199 382 11,985 304 10,802 12 8,515 19,286 95 16 11,757 1,138 649 1,865 10



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



17



Table A-12. States — Deaths and Death Rates—Con.

Infant deaths Number Geographic area All races3 2002 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,034 539 55 559 312 2,889 415 274 96 85 1,548 1,192 127 128 1,339 657 199 281 392 665 59 551 395 1,057 364 428 637 83 178 197 72 655 174 1,519 959 49 1,180 410 260 1,091 90 507 70 727 2,368 273 28 741 456 188 472 44 2001 27,568 567 81 592 309 2,830 388 260 115 81 1,495 1,146 106 129 1,413 650 212 287 325 643 84 594 405 1,069 361 445 558 74 168 180 56 747 174 1,482 1,009 67 1,161 366 246 1,033 86 496 78 681 2,171 232 35 747 459 148 491 36 2000 28,035 596 68 573 316 2,894 404 282 102 92 1,425 1,126 142 153 1,568 685 247 268 401 608 66 562 376 1,119 378 470 547 67 180 201 84 733 180 1,656 1,038 62 1,187 425 255 1,039 79 488 57 724 2,065 248 39 682 421 158 457 42 1990 38,351 688 125 610 336 4,844 472 398 112 245 1,918 1,392 138 143 2,104 831 319 329 461 799 108 766 650 1,641 496 529 748 105 202 181 125 1,102 246 2,851 1,109 74 1,640 438 354 1,643 123 683 111 771 2,552 271 53 1,013 621 223 598 60 2002 7.0 9.1 5.5 6.4 8.3 5.5 6.1 6.5 8.7 11.3 7.5 8.9 7.3 6.1 7.4 7.7 5.3 7.1 7.2 10.3 4.4 7.5 4.9 8.1 5.4 10.3 8.5 7.5 7.0 6.0 5.0 5.7 6.3 6.0 8.2 6.3 7.9 8.1 5.8 7.6 7.0 9.3 6.5 9.4 6.4 5.6 4.4 7.4 5.8 9.1 6.9 6.7 2001 6.8 9.4 8.1 6.9 8.3 5.4 5.8 6.1 10.7 10.6 7.3 8.6 6.2 6.2 7.7 7.5 5.6 7.4 5.9 9.8 6.1 8.1 5.0 8.0 5.3 10.5 7.4 6.7 6.8 5.7 3.8 6.5 6.4 5.8 8.5 8.8 7.7 7.3 5.4 7.2 6.8 8.9 7.4 8.7 5.9 4.8 5.5 7.6 5.8 7.2 7.1 5.9 2000 6.9 9.4 6.8 6.7 8.4 5.4 6.2 6.6 9.2 12.0 7.0 8.5 8.1 7.5 8.5 7.8 6.5 6.8 7.2 9.0 4.9 7.6 4.6 8.2 5.6 10.7 7.2 6.1 7.3 6.5 5.7 6.3 6.6 6.4 8.6 8.1 7.6 8.5 5.6 7.1 6.3 8.7 5.5 9.1 5.7 5.2 6.0 6.9 5.2 7.6 6.6 6.7 1990 9.2 10.8 10.5 8.8 9.2 7.9 8.8 7.9 10.1 20.7 9.6 12.4 6.7 8.7 10.7 9.6 8.1 8.4 8.5 11.1 6.2 9.5 7.0 10.7 7.3 12.1 9.4 9.0 8.3 8.4 7.1 9.0 9.0 9.6 10.6 8.0 9.8 9.2 8.3 9.6 8.1 11.7 10.1 10.3 8.1 7.5 6.4 10.2 7.8 9.9 8.2 8.6 2002 5.8 7.1 4.2 6.2 6.9 5.2 5.5 5.5 7.3 (B) 5.8 6.6 (B) 6.1 5.6 6.8 5.1 6.5 6.6 6.9 4.3 5.3 4.5 6.0 5.0 6.9 7.1 7.1 6.1 5.1 5.3 4.5 5.7 5.4 5.9 5.6 6.2 7.1 5.6 6.6 6.4 6.0 4.9 7.0 5.6 5.5 4.5 5.5 5.5 8.5 5.6 6.8 White 2001 5.7 6.8 5.8 6.1 6.8 5.0 5.5 4.7 8.0 (B) 5.5 6.2 6.0 6.3 6.0 6.8 5.5 6.5 5.6 6.5 5.7 5.5 4.6 6.1 4.8 7.0 5.9 6.7 6.4 5.1 3.8 5.1 6.3 5.1 6.1 8.0 6.2 6.5 5.5 6.1 6.1 5.9 6.1 6.7 5.2 4.9 5.6 5.4 5.7 7.2 5.9 5.9 2000 5.7 6.6 5.8 6.2 7.0 5.1 5.6 5.6 7.9 (B) 5.4 5.9 6.5 7.5 6.6 6.9 6.0 6.4 6.7 5.9 4.8 4.8 4.0 6.0 4.8 6.8 5.9 5.5 6.4 6.0 5.5 5.0 6.3 5.4 6.3 7.5 6.3 7.9 5.5 5.8 5.9 5.4 4.3 6.8 5.1 5.1 6.1 5.4 4.9 7.4 5.5 6.5 2002 14.4 13.9 (B) 13.0 13.9 12.9 21.1 14.2 12.9 14.5 13.6 13.7 (B) (B) 16.3 15.3 (B) 15.2 14.2 15.0 (B) 12.3 9.1 18.5 10.3 14.8 17.1 (B) 20.8 18.4 (B) 12.8 (B) 9.9 15.6 (B) 17.7 17.2 (B) 15.1 (B) 15.8 (B) 18.3 13.5 (B) (B) 14.6 12.7 (B) 18.9 (B) Black 2001 14.0 15.1 (B) 22.8 14.5 12.9 12.8 16.9 19.9 15.0 13.5 13.3 (B) (B) 15.5 13.7 (B) 20.5 9.7 14.4 (B) 13.7 9.6 17.0 9.6 14.9 16.5 (B) (B) 17.1 (B) 14.2 (B) 9.7 15.8 (B) 16.4 15.0 (B) 14.4 (B) 15.0 (B) 16.2 12.0 (B) (B) 15.8 12.9 (B) 17.8 (B) 2000 14.1 15.4 (B) 17.6 13.7 12.9 19.5 14.4 14.8 16.1 12.6 13.9 (B) (B) 17.1 15.8 21.1 12.2 12.7 13.3 (B) 13.2 9.9 18.2 14.6 15.3 14.7 (B) 20.3 12.7 (B) 13.6 (B) 10.9 15.7 (B) 15.4 16.9 (B) 15.7 (B) 14.8 (B) 18.0 11.4 (B) (B) 12.4 9.4 (B) 17.2 (B) Rate2



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



B Base figure too small to meet statistical standards.

1 2 3



Rates based on enumerated resident population as of April 1 for 1990 and 2000; estimated resident population as of July 1 for all other years. Deaths per 1,000 live births. Includes other races not shown separately. Based on the National Vital Statistics System; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site



Survey, Census, or Data Collection Method: .



Source: U.S. National Center for Health Statistics, Vital Statistics of the United States, annual; National Vital Statistics Report (NVSR), formerly Monthly Vital Statistics Report; see also .



18



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-13. States — Death Rates by Cause: 2002

Rates1 Accidents and adverse effects Motor vehicle 15.7 24.9 17.4 20.3 25.6 12.1 17.3 10.1 15.0 10.2 19.1 17.8 9.7 22.1 12.5 15.6 14.5 20.7 22.6 21.4 16.6 13.2 8.8 13.8 14.8 30.6 21.4 28.0 19.5 17.8 9.8 9.1 22.8 8.8 20.3 17.5 14.0 21.9 13.1 14.1 8.9 24.9 24.4 21.6 18.5 14.2 12.7 13.2 12.5 23.0 16.0 31.5



Geographic area Malignant neoplasms 193.2 216.2 111.1 171.5 231.8 154.2 141.7 207.0 200.8 227.4 234.2 163.3 156.2 159.4 196.3 208.9 220.4 197.4 230.6 210.6 247.7 190.4 216.5 198.8 183.5 211.3 217.2 210.1 198.5 181.1 198.3 207.5 165.3 191.4 194.8 203.9 220.4 213.9 205.8 242.0 224.7 202.9 205.2 215.9 156.9 102.6 198.5 186.5 178.9 258.2 199.0 172.2 Diabetes Alzheimer’s mellitus disease 25.4 33.1 13.4 22.6 29.3 19.4 14.6 19.5 26.6 33.5 27.4 18.4 16.4 24.0 23.9 27.4 25.0 28.2 30.9 39.6 31.2 27.8 22.1 27.7 26.2 23.4 28.6 23.1 22.7 15.8 24.4 29.5 31.4 20.5 26.5 33.7 33.7 30.5 29.6 30.1 24.6 27.1 25.6 30.2 26.0 22.2 28.2 21.4 24.6 47.0 24.9 29.1 20.4 26.5 9.5 26.3 20.3 15.4 21.2 16.5 15.9 18.7 24.2 17.8 11.3 23.7 19.0 23.9 30.6 27.8 24.8 24.8 39.6 15.9 24.4 19.5 23.7 20.0 20.9 31.3 26.6 11.6 24.4 17.7 17.5 9.4 23.6 46.4 22.8 21.6 31.9 22.9 24.7 23.5 21.9 22.4 17.4 13.1 26.4 18.8 36.2 22.5 24.7 24.5 Diseases of the heart 241.7 294.1 88.1 198.9 307.4 195.9 142.6 254.7 237.6 291.8 294.6 204.8 201.8 188.8 244.6 248.8 278.6 246.0 285.8 249.5 244.9 220.0 229.3 265.3 171.4 315.5 294.5 213.8 245.3 203.4 217.7 262.0 181.1 295.8 222.6 255.9 274.8 321.4 206.2 315.0 290.6 235.2 254.5 279.9 199.5 128.5 222.2 205.0 183.6 343.5 237.5 201.5 Cerebrovascular diseases 56.4 71.3 24.5 46.5 82.4 50.2 42.5 53.8 50.2 48.9 61.4 49.8 65.2 54.9 57.0 60.4 75.8 67.9 62.4 57.9 63.6 51.5 55.4 57.8 53.9 67.1 68.5 70.3 63.8 44.9 49.2 46.8 38.5 39.8 63.2 74.0 63.5 69.5 75.1 69.5 56.6 68.7 68.1 68.7 48.4 39.0 54.3 54.3 61.8 69.9 63.9 48.7



HIV2 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.9 4.2 (B) 3.0 3.0 4.1 2.3 5.4 8.7 40.8 10.3 8.3 2.1 (B) 3.9 1.9 1.0 1.4 2.4 8.1 (B) 11.2 3.6 2.4 1.1 6.4 2.2 (B) 1.2 3.5 (B) 8.9 1.9 10.3 5.8 (B) 2.1 2.6 2.6 4.0 2.2 7.3 (B) 6.0 4.9 (B) (B) 3.6 2.0 1.1 1.4 (B)



Pneumonia and influenza 22.8 27.1 7.9 24.2 28.6 23.1 16.7 25.7 20.8 14.2 19.7 20.9 19.8 19.8 23.3 22.1 32.1 25.7 30.2 21.3 24.5 20.5 32.5 20.2 17.9 27.9 28.5 28.0 24.2 16.9 18.6 23.0 20.1 28.0 22.8 25.5 21.8 26.2 18.9 24.0 29.8 22.2 31.5 29.5 16.9 18.3 18.0 20.3 14.9 23.7 23.7 27.1



Chronic lower respiratory diseases 43.3 51.9 22.1 47.2 53.2 36.1 41.0 42.0 43.3 23.3 54.2 36.9 21.3 44.4 38.3 50.9 53.8 50.3 58.7 37.8 61.1 35.6 42.7 44.1 39.3 48.0 50.5 63.3 54.0 54.0 45.3 33.6 46.2 36.4 44.2 50.8 53.1 56.9 52.4 48.8 48.7 46.0 50.3 51.9 35.4 26.0 44.8 37.7 44.8 68.2 42.9 65.0



Chronic liver diseases and cirrhosis 9.5 9.5 8.5 12.3 8.2 10.7 9.2 9.2 10.9 15.4 12.9 8.1 6.3 7.8 8.5 8.3 7.5 6.9 9.2 8.1 9.0 8.1 9.4 9.9 6.4 8.0 7.6 14.0 7.3 12.3 8.2 8.5 17.1 7.0 8.8 9.9 9.2 12.3 10.4 9.4 12.0 9.4 9.9 10.5 10.5 5.7 10.7 8.2 8.7 11.6 8.0 14.0



Total 37.0 49.7 53.7 47.2 48.4 28.8 40.2 34.2 36.2 35.0 44.3 38.9 31.6 45.6 33.5 34.9 37.2 41.9 51.1 47.2 39.5 24.4 22.0 32.7 38.4 57.2 46.6 57.6 44.1 39.6 28.0 30.3 59.6 24.3 44.5 38.8 36.3 45.2 39.7 38.3 25.9 48.0 45.7 47.3 37.8 30.8 38.9 34.0 36.3 53.1 41.8 58.0



Intentional self-harm (suicide) 11.0 11.5 20.5 16.2 13.9 9.2 16.1 7.5 9.2 5.4 14.0 10.6 9.6 15.1 9.1 12.1 10.7 12.7 13.2 11.1 12.8 8.7 6.8 11.0 9.9 11.9 12.2 20.2 11.6 19.5 10.4 6.4 18.8 6.4 11.9 14.4 11.3 14.3 14.7 10.9 8.0 10.7 12.4 13.4 10.6 14.7 14.9 11.0 13.4 15.3 11.5 21.1



Assault (homicide) 6.1 9.3 6.2 9.2 7.2 7.1 4.1 2.8 4.7 40.1 6.0 7.9 3.1 2.4 8.1 6.3 1.9 4.7 4.8 13.5 (B) 9.9 2.9 6.9 2.5 10.6 6.5 2.5 2.9 8.1 (B) 3.9 8.7 4.8 7.7 (B) 4.8 5.6 3.0 5.2 4.0 7.9 2.9 8.1 6.5 2.3 (B) 5.4 3.5 5.3 3.5 4.6



Injury by firearms 10.5 16.1 19.7 17.7 16.3 9.7 11.5 4.2 9.2 34.2 11.3 13.2 2.9 12.2 9.8 11.7 6.8 9.9 13.3 19.5 6.8 11.3 3.2 10.9 6.1 17.1 12.3 14.7 8.1 17.0 6.0 4.8 16.4 5.2 13.7 9.1 9.4 12.9 10.6 9.9 5.1 13.8 8.0 15.6 10.6 8.9 10.1 11.1 9.4 15.0 8.2 19.0



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



B Figure does not meet standards of reliability or precision.

1 2



Deaths per 100,000 resident population enumerated as of July 1. Human immunodeficiency virus. National Vital Statistics System; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site



Survey, Census, or Data Collection Method: . Source:



U.S. National Center for Health Statistics, National Vital Statistics Report (NVSR), formerly Monthly Vital Statistics Report; see also .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



19



Table A-14. States — Marriages and Divorces—Number and Rate

Marriages1 Geographic area 2004 United States . . . Alabama . Alaska . . . Arizona . . Arkansas . California5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

4



Divorces2 Rate per 1,000 population3 Number (1,000) 1990 9.8 10.6 10.2 10.0 15.3 7.9 9.8 7.9 8.4 8.2 10.9 10.3 16.4 13.9 8.8 9.6 9.0 9.2 13.5 9.6 9.7 9.7 7.9 8.2 7.7 9.4 9.6 8.6 8.0 99.0 9.5 7.6 8.8 8.6 7.8 7.5 9.0 10.6 8.9 7.1 8.1 15.9 11.1 13.9 10.5 11.2 10.9 11.4 9.5 7.2 7.9 10.7 2004 (NA) 21.5 3.1 24.4 17.4 (NA) 20.2 10.3 3.1 0.9 82.7 (NA) (NA) 7.1 33.1 (NA) 8.3 9.1 20.5 (NA) 4.7 17.1 14.1 35.0 14.2 13.1 21.9 3.5 6.4 14.8 5.0 26.0 8.8 57.8 37.7 1.8 42.4 (NA) 14.8 30.7 3.3 13.4 2.5 29.8 81.9 9.3 2.4 30.1 25.2 8.6 17.0 2.7 2000 (NA) 23.5 2.7 21.6 17.9 (NA) (NA) 6.5 3.2 1.5 81.9 30.7 4.6 6.9 39.1 (NA) 9.4 10.6 21.6 (NA) 5.8 17.0 18.6 39.4 14.8 14.4 26.5 2.1 6.4 18.1 7.1 25.6 9.2 62.8 36.9 2.0 49.3 12.4 16.7 37.9 3.1 14.4 2.7 33.8 85.2 9.7 5.1 30.2 27.2 9.3 17.6 2.8 1990 1,182.0 25.3 2.9 25.1 16.8 128.0 18.4 10.3 3.0 2.7 81.7 35.7 5.2 6.6 44.3 (NA) 11.1 12.6 21.8 (NA) 5.3 16.1 16.8 40.2 15.4 14.4 26.4 4.1 6.5 13.3 5.3 23.6 7.7 57.9 34.0 2.3 51.0 24.9 15.9 40.1 3.8 16.1 2.6 32.3 94.0 8.8 2.6 27.3 28.8 9.7 17.8 3.1 Rate per 1,000 population3 2004 3.7 4.7 4.8 4.2 6.3 (NA) 4.4 2.9 3.7 1.7 4.8 (NA) (NA) 5.1 2.6 (NA) 2.8 3.3 4.9 (NA) 3.6 3.1 2.2 3.5 2.8 4.5 3.8 3.8 3.6 6.4 3.9 3.0 4.6 3.0 4.4 2.8 3.7 (NA) 4.1 2.5 3.0 3.2 3.2 5.0 3.6 3.9 3.9 4.0 4.1 4.7 3.1 5.3 2000 4.2 5.4 4.4 4.4 6.9 (NA) (NA) 2.0 4.2 3.0 5.3 3.9 3.9 5.4 3.2 (NA) 3.3 4.0 5.4 (NA) 4.6 3.3 3.0 4.0 3.1 5.2 4.8 2.4 3.8 9.6 5.8 3.1 5.3 3.4 4.8 3.2 4.4 3.7 5.0 3.2 3.1 3.7 3.6 6.1 4.2 4.5 8.6 4.3 4.7 5.2 3.3 5.9 1990 4.7 6.1 5.5 6.9 6.9 4.3 5.5 3.2 4.4 4.5 6.3 5.5 4.6 6.5 3.8 (NA) 3.9 5.0 5.8 (NA) 4.3 3.4 2.8 4.3 3.5 5.5 5.1 5.1 4.0 11.4 4.7 3.0 4.9 3.2 5.1 3.6 4.7 7.7 5.5 3.3 3.7 4.5 3.7 6.5 5.5 5.1 4.5 4.4 5.9 5.3 3.6 6.6



Number (1,000) 2000 2,329.0 45.0 5.6 38.7 41.1 196.9 35.6 19.4 5.1 2.8 141.9 56.0 25.0 14.0 85.5 34.5 20.3 22.2 39.7 40.5 10.5 40.0 37.0 66.4 33.4 19.7 43.7 6.6 13.0 144.3 11.6 50.4 14.5 162.0 65.6 4.6 88.5 15.6 26.0 73.2 8.0 42.7 7.1 88.2 196.4 24.1 6.1 62.4 40.9 15.7 36.1 4.9 1990 2,443.0 43.3 5.7 37.0 35.7 236.7 31.5 27.8 5.6 4.7 142.3 64.4 18.1 15.0 97.1 54.3 24.8 23.4 51.3 41.2 11.8 46.1 47.8 76.1 33.7 24.3 49.3 7.0 12.5 123.4 10.6 58.0 13.2 169.3 52.1 4.8 95.8 33.2 25.2 86.8 8.1 55.8 7.7 66.6 182.8 19.0 6.1 71.3 48.6 13.2 41.2 4.8



2004 7.4 9.0 8.3 6.6 13.0 4.8 7.5 4.7 6.1 5.3 9.0 7.3 22.5 10.9 6.1 7.8 6.9 7.0 8.9 6.7 8.3 6.8 6.4 6.2 5.9 6.1 6.3 7.4 7.4 62.4 7.6 5.8 7.4 6.5 7.7 6.5 6.6 6.5 8.1 5.3 7.6 8.2 8.4 11.4 7.8 5.5 9.6 8.4 6.5 7.3 6.2 9.4



2000 8.3 10.3 8.9 7.9 16.0 5.9 8.6 5.9 6.7 5.4 9.3 7.1 21.2 11.0 7.0 5.8 7.0 8.3 10.0 9.3 8.3 7.7 6.0 6.7 6.9 7.1 7.9 7.4 7.8 76.7 9.5 6.1 8.3 8.9 8.5 7.3 7.9 4.6 7.8 6.1 8.0 10.9 9.6 15.9 9.6 11.1 10.2 9.0 7.0 8.7 6.8 10.3



2,178.4 40.6 5.4 37.9 35.7 172.3 34.5 16.5 5.1 2.9 156.4 64.5 28.4 15.2 77.8 48.4 20.5 19.1 36.8 30.2 10.9 37.7 41.2 62.6 30.1 17.8 36.5 6.8 12.9 145.8 9.8 50.1 14.1 124.4 65.9 4.1 75.9 22.8 29.0 65.1 8.2 34.5 6.5 67.5 176.3 13.2 6.0 62.5 40.1 13.2 34.1 4.8



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



NA Not available.

1 2 3



Data include marriage licenses for some states. Includes annulments and divorce petitions filed or legal separations for some states. Based on total resident population enumerated as of April 1 for 1990 and 2000; estimated as of July 1 for 2004. 4 U.S. totals for the number of divorces are estimates that include states not reporting (CA, CO, IN, and LA). 5 Marriage data include nonlicensed marriages registered. Survey, Census, or Data Collection Method: . Based on the National Vital Statistics System; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site



Source: U.S. National Center for Health Statistics, Vital Statistics of the United States, annual; National Vital Statistics Report (NVSR), formerly Monthly Vital Statistics Report; see also .



20



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-15. States — Community Hospitals

Number of hospitals Geographic area 2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,895 107 19 61 88 370 68 34 6 10 203 146 24 39 192 112 116 134 103 127 37 51 79 144 131 92 119 53 85 25 28 78 37 207 113 40 163 108 58 201 11 61 50 125 414 42 14 84 85 57 121 23 2000 4,915 108 18 61 83 389 69 35 5 11 202 151 21 42 196 109 115 129 105 123 37 49 80 146 135 95 119 52 85 22 28 80 35 215 113 42 163 108 59 207 11 63 48 121 403 42 14 88 84 57 118 24 1990 5,384 120 16 61 86 445 69 35 8 11 224 163 18 43 210 113 124 138 107 140 39 52 101 176 152 103 135 55 90 21 27 95 37 235 120 50 190 111 70 238 12 69 53 134 428 42 15 97 91 59 129 27 2003 813.3 15.6 1.5 10.8 9.9 74.3 9.5 7.2 2.0 3.4 50.7 24.6 3.1 3.4 35.0 18.9 11.0 10.6 14.9 17.8 3.7 11.6 16.0 25.8 16.4 13.0 19.3 4.3 7.5 4.3 2.8 22.8 3.7 64.7 23.3 3.6 33.0 11.0 6.8 40.9 2.4 11.1 4.4 20.3 57.3 4.4 1.5 17.2 11.2 7.8 14.8 1.8 2000 823.6 16.4 1.4 10.9 9.8 72.7 9.4 7.7 1.8 3.3 51.2 23.9 3.1 3.5 37.3 19.2 11.8 10.8 14.8 17.5 3.7 11.2 16.6 26.1 16.7 13.6 20.1 4.3 8.2 3.8 2.9 25.3 3.5 66.4 23.1 3.9 33.8 11.1 6.6 42.3 2.4 11.5 4.3 20.6 55.9 4.3 1.7 16.9 11.1 8.0 15.3 1.9 1990 928.1 18.6 1.2 9.9 10.9 80.5 10.4 9.6 2.0 4.5 50.7 25.7 2.9 3.2 45.8 21.8 14.3 11.8 15.9 19.1 4.5 13.6 21.7 33.9 19.4 12.9 24.3 4.6 8.5 3.4 3.5 28.9 4.2 74.7 22.0 4.4 43.1 12.4 8.1 52.6 3.2 11.3 4.2 23.6 59.2 4.4 1.7 20.0 12.0 8.4 18.6 2.2 2003 34,783 709 46 603 388 3,474 444 372 97 135 2,296 926 112 136 1,594 712 363 331 600 690 149 645 785 1,168 615 416 831 107 212 213 118 1,108 166 2,499 987 88 1,458 450 342 1,824 122 506 103 813 2,550 215 52 758 516 296 588 53 2000 33,089 680 47 539 368 3,315 397 349 83 129 2,119 863 100 123 1,531 700 360 310 582 654 147 587 740 1,106 571 425 773 99 209 199 111 1,074 174 2,416 971 89 1,404 429 330 1,796 119 495 99 737 2,367 194 52 727 505 288 558 48 1990 31,181 597 37 396 347 3,063 335 355 84 158 1,639 888 96 97 1,499 727 385 305 532 607 146 562 811 1,069 530 396 737 105 188 116 125 1,132 153 2,322 784 96 1,512 382 302 1,796 127 413 94 798 1,986 175 58 706 492 277 597 48 2003 563.1 8.9 1.4 6.7 4.6 48.0 7.0 6.8 2.0 1.6 22.0 12.8 1.9 2.8 27.0 15.0 9.7 6.0 8.5 10.8 3.9 6.5 19.6 27.0 9.1 4.0 15.7 2.7 3.7 2.3 3.1 14.7 4.5 48.0 14.5 1.8 30.0 5.5 8.2 33.0 2.0 7.4 1.5 10.0 32.3 4.5 2.2 11.2 10.3 5.8 11.8 0.9 2000 521.4 8.0 1.3 5.3 4.4 44.9 6.7 6.7 1.5 1.3 21.8 11.2 2.5 2.2 25.1 14.1 9.2 5.3 8.7 10.0 3.2 6.0 16.7 24.9 7.3 3.7 14.8 2.6 3.4 2.2 2.8 16.3 3.1 46.4 12.4 1.7 26.9 4.7 7.3 31.8 2.1 7.8 1.7 10.3 29.4 4.5 1.2 9.5 9.6 5.2 10.9 0.9 1990 301.3 4.6 0.4 2.7 2.2 29.7 3.5 4.2 1.0 1.3 11.6 6.8 1.8 1.1 16.4 8.7 4.1 2.9 4.4 5.4 1.9 4.6 9.9 15.3 4.4 2.2 6.5 0.8 1.6 1.1 1.6 9.7 1.8 29.3 6.1 0.5 17.1 2.3 3.4 21.2 1.2 3.4 0.7 5.2 13.6 2.4 0.7 5.8 4.9 2.8 5.9 0.5 2002 3,489 63 7 46 37 320 45 36 12 19 203 98 13 14 157 79 41 34 56 70 17 56 99 122 46 40 86 12 25 16 15 98 20 307 107 12 161 41 33 186 11 49 13 78 244 21 8 72 53 30 54 6 2000 3,332 60 6 44 36 288 40 34 9 19 194 92 12 11 161 76 41 32 56 70 16 52 93 123 41 40 83 11 24 16 13 101 16 301 105 11 151 42 31 179 11 45 11 79 227 19 6 71 50 29 49 6 1990 3,420 59 4 36 33 311 39 44 10 20 172 89 12 10 174 84 44 35 50 63 18 59 101 135 56 34 89 11 24 11 14 108 14 310 88 11 172 42 33 211 15 41 11 80 203 18 6 71 49 28 62 5 Beds (1,000) Patients admitted (1,000) Outpatient visits (mil.) Personnel (1,000)



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



Survey, Census, or Data Collection Method: Based on the American Hospital Association Annual Survey of Hospitals; for information, see Internet site . Source: Health Forum, An American Hospital Association Company, Chicago, IL, Hospital Statistics, 2005 edition, and prior years (copyright).



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



21



Table A-16. States — Health Care Services, Physicians, and Nurses

Health care services, 20021 Employees (1,000) Nursing and residential care facilities 67,900 722 174 1,092 534 7,992 797 958 128 208 2,900 1,188 106 266 2,247 1,509 1,094 965 866 937 763 1,319 2,356 3,231 2,517 396 1,556 310 475 298 274 1,480 394 4,266 2,305 225 2,856 1,006 1,617 3,585 425 823 275 1,117 3,201 378 185 1,133 1,667 513 2,157 114 Ambulatory health care services 4,917 71 9 80 39 532 74 73 16 11 299 130 20 19 194 95 42 47 67 70 24 89 129 168 109 34 96 13 25 32 24 164 28 394 140 9 208 55 57 228 19 56 12 99 399 35 14 110 111 31 109 7 Nursing and residential care facilities Physicians2 Rate per 100,000 population3 Nurses Rate per 100,000 population3



Establishments Geographic area Ambulatory health care services 487,747 6,423 1,150 8,997 4,327 63,969 8,457 6,552 1,412 1,276 34,489 12,982 2,507 2,435 20,140 8,907 4,247 4,209 6,553 7,316 2,313 9,953 10,835 16,395 6,557 3,614 8,912 1,748 2,627 3,605 1,981 18,213 2,692 36,069 11,181 868 18,461 5,783 6,277 22,260 1,941 5,676 1,133 9,055 34,950 4,010 1,181 10,931 10,519 3,104 7,580 975



Number



Number



Total United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 563,216 7,281 1,354 10,192 4,967 72,583 9,353 7,567 1,556 1,507 37,751 14,383 2,644 2,756 22,665 10,604 5,470 5,321 7,583 8,481 3,124 11,375 13,346 19,842 9,244 4,144 10,641 2,123 3,207 3,950 2,295 19,851 3,153 40,692 13,672 1,148 21,562 6,965 7,964 26,209 2,395 6,595 1,477 10,359 38,777 4,453 1,384 12,228 12,308 3,697 9,900 1,118



Hospitals 7,569 136 30 103 106 622 99 57 16 23 362 213 31 55 278 188 129 147 164 228 48 103 155 216 170 134 173 65 105 47 40 158 67 357 186 55 245 176 70 364 29 96 69 187 626 65 18 164 122 80 163 29



Total 12,809 186 27 183 122 1,222 168 192 39 50 694 321 44 52 557 290 158 139 189 215 (D) 233 393 449 289 114 292 41 91 65 61 392 68 1,002 372 (D) 591 155 144 667 61 158 47 261 864 87 (D) 277 250 93 278 (D)



Hospitals 5,122 80 15 69 58 466 61 60 16 32 251 138 18 21 242 128 63 53 82 102 (4) 88 163 190 100 62 130 19 41 25 26 153 27 389 143 (5) 231 61 49 267 25 70 23 111 329 36 (5) 113 88 44 99 (6)



Annual payroll (mil. dol.)



2003



2000



2003 295 232 238 244 224 294 287 397 279 826 294 243 349 193 297 237 215 247 248 287 305 450 477 262 308 202 258 264 267 209 298 336 268 423 279 267 281 194 301 328 380 253 239 283 230 234 416 304 303 253 279 218



2000



2001



1992



2001 793 815 780 659 738 537 757 954 915 1,510 793 698 710 636 837 809 1,030 914 858 821 1,041 806 1,182 839 943 780 939 841 929 517 889 841 635 868 879 1,015 912 660 750 1,074 1,054 693 1,113 850 608 606 949 772 754 880 918 765



1992 743 696 611 723 646 568 795 963 907 1,506 710 656 716 588 804 721 937 786 696 575 872 794 1,098 719 925 534 782 727 831 570 948 859 664 886 728 940 834 531 792 965 938 575 982 733 536 555 908 708 775 709 832 686



2,771 462,184 858,510 802,156 35 3 34 25 224 32 59 7 7 143 53 6 11 121 68 52 39 40 42 21 56 101 92 81 19 67 10 25 8 12 75 13 219 89 14 153 39 37 172 18 32 12 51 135 15 7 54 52 18 70 4 6,387 10,434 1,271 1,545 6,944 13,641 3,952 6,121 48,507 104,261 6,498 7,555 1,558 2,225 25,191 11,621 1,796 1,625 20,440 9,749 4,852 4,386 6,281 6,698 (D) 8,798 14,908 16,381 10,313 3,760 9,650 1,300 2,871 2,637 2,236 15,575 2,311 39,010 12,889 (D) 20,205 4,730 5,277 23,028 2,124 5,666 1,529 9,449 29,801 2,701 (D) 10,121 9,366 2,847 9,886 (D) 13,051 13,834 2,284 4,607 50,000 21,075 4,358 2,642 37,608 14,716 6,318 6,743 10,215 12,878 3,995 24,806 30,603 26,459 15,591 5,820 14,779 2,425 4,643 4,691 3,846 29,053 5,031 81,199 23,530 1,691 32,150 6,792 10,741 40,542 4,091 10,510 1,831 16,547 50,840 5,514 2,578 22,373 18,580 4,587 15,246 1,095 9,887 1,362 12,250 5,711 97,213 11,692 13,279 2,099 4,488 46,013 19,324 3,887 2,370 35,943 13,461 5,927 6,486 9,468 12,207 3,598 23,449 28,886 25,209 14,257 5,399 14,061 2,188 4,300 4,025 3,438 27,462 4,565 78,524 21,118 1,603 30,229 6,565 9,312 39,603 3,814 9,689 1,708 15,360 46,904 5,041 2,318 20,362 16,693 4,442 13,954 1,013



285 2,262,020 1,907,100 222 217 239 214 287 272 390 268 785 288 236 321 183 289 221 203 241 234 273 282 443 455 254 290 190 251 243 251 201 278 326 251 414 262 250 266 190 272 322 364 242 226 270 225 226 381 288 283 246 260 205 36,400 4,930 34,880 19,860 185,550 33,510 32,740 7,280 8,600 129,610 58,600 8,680 8,400 104,830 49,590 30,190 24,680 34,920 36,690 13,390 43,340 75,580 83,950 46,990 22,290 52,970 7,620 15,970 10,840 11,190 71,500 11,630 165,580 72,050 6,460 103,870 22,890 26,040 132,120 11,160 28,130 8,440 48,880 129,710 13,830 5,820 55,440 45,170 15,850 49,610 3,780 28,900 3,600 28,300 15,600 175,800 27,800 31,800 6,300 9,000 96,900 44,700 8,300 6,300 94,000 40,900 26,400 19,900 26,200 24,700 10,800 39,100 66,200 68,200 41,600 14,000 40,800 6,000 13,400 7,700 10,600 67,700 10,600 161,600 50,200 6,000 92,000 17,100 23,700 116,300 9,500 20,800 7,000 37,000 95,200 10,200 5,200 45,400 40,000 12,800 41,800 3,200



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



D Withheld to avoid disclosure.

1 2 3



Includes Ambulatory health care services (NAICS 621), Hospitals (NAICS 622), and Nursing and residential care facilities (NAICS 623). Includes inactive physicians and physicians not classified. Excludes physicians with addresses unknown. Based on U.S. Census Bureau estimates as of July 1. 4 25,000–49,999 employees. 5 10,000–24,999 employees. 6 5,000–9,999 employees. Survey, Census, or Data Collection Method: Health care services—Based on the Regional Economic Information System; for information, see Internet site ; Physicians—For information, see Internet site ; Nurses—For information, see Internet site . Sources: Health care services—U.S. Census Bureau, County Business Patterns, annual, see Internet site ; Physicians—American Medical Association, Chicago, IL, Physician Characteristics and Distribution in the U.S., annual (copyright); Nurses—U.S. Department of Health and Human Services, Health Resources and Services Administration, unpublished data.



22



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-17. States — Persons With and Without Health Insurance Coverage

Persons Children



Geographic area



Total persons covered (1,000)



Number not covered (1,000)



Percent of persons not covered



Number not covered (1,000)



Percent of children not covered



2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243,320 3,798 523 4,626 2,206 28,895 3,708 3,065 729 475 13,849 7,162 1,126 1,107 10,810 5,296 2,593 2,389 3,537 3,517 1,150 4,731 5,685 8,838 4,633 2,343 5,004 739 1,532 1,824 1,133 7,378 1,457 16,104 6,829 563 9,885 2,737 2,957 10,771 946 3,481 659 5,131 16,484 2,055 553 6,424 5,147 1,491 4,836 411



20001 239,714 3,797 508 4,330 2,272 27,705 3,721 3,041 706 476 13,188 6,958 1,089 1,091 10,597 5,342 2,609 2,364 3,457 3,577 1,131 4,714 5,744 8,935 4,496 2,420 5,000 742 1,533 1,704 1,130 7,372 1,364 15,732 6,912 553 9,930 2,743 2,987 11,017 959 3,493 656 5,030 15,973 1,961 549 6,178 5,080 1,524 4,914 410



1990 214,167 3,364 422 2,974 1,999 24,116 2,872 3,040 594 461 10,807 5,381 1,021 891 10,432 4,893 2,560 2,240 3,148 3,247 1,097 4,134 5,306 8,329 3,987 2,138 4,575 705 1,479 1,017 978 6,974 1,185 15,873 5,506 595 9,798 2,520 2,531 10,887 841 2,848 616 4,254 13,316 1,585 511 5,329 4,328 1,561 4,497 405



2003 44,961 629 122 951 465 6,499 772 357 91 79 3,071 1,409 127 253 1,818 853 329 294 574 912 133 762 682 1,080 444 511 620 177 195 426 131 1,201 414 2,866 1,424 69 1,362 701 613 1,384 108 584 91 778 5,374 298 58 962 944 296 593 78



20001 39,804 582 117 869 379 6,299 620 330 72 78 2,829 1,166 113 199 1,704 674 253 289 545 789 138 547 549 901 399 380 524 150 154 344 103 1,021 435 3,056 1,084 71 1,248 641 433 1,047 77 480 81 615 4,748 281 52 814 792 250 406 76



1990 34,719 710 77 547 421 5,683 495 226 96 109 2,376 971 81 159 1,272 587 225 272 480 797 139 601 530 865 389 531 665 115 138 201 107 773 339 2,176 883 40 1,123 574 360 1,218 105 550 81 673 3,569 156 54 996 557 249 321 58



2003 15.6 14.2 18.9 17.0 17.4 18.4 17.2 10.4 11.1 14.3 18.2 16.4 10.1 18.6 14.4 13.9 11.3 11.0 14.0 20.6 10.4 13.9 10.7 10.9 8.7 17.9 11.0 19.4 11.3 18.9 10.3 14.0 22.1 15.1 17.3 10.9 12.1 20.4 17.2 11.4 10.2 14.4 12.2 13.2 24.6 12.7 9.5 13.0 15.5 16.6 10.9 15.9



20001 14.2 13.3 18.7 16.7 14.3 18.5 14.3 9.8 9.3 14.0 17.7 14.3 9.4 15.4 13.9 11.2 8.8 10.9 13.6 18.1 10.9 10.4 8.7 9.2 8.1 13.6 9.5 16.8 9.1 16.8 8.4 12.2 24.2 16.3 13.6 11.3 11.2 18.9 12.7 8.7 7.4 12.1 11.0 10.9 22.9 12.5 8.6 11.6 13.5 14.1 7.6 15.7



1990 13.9 17.4 15.4 15.5 17.4 19.1 14.7 6.9 13.9 19.2 18.0 15.3 7.3 15.2 10.9 10.7 8.1 10.8 13.2 19.7 11.2 12.7 9.1 9.4 8.9 19.9 12.7 14.0 8.5 16.5 9.9 10.0 22.2 12.1 13.8 6.3 10.3 18.6 12.4 10.1 11.1 16.2 11.6 13.7 21.1 9.0 9.5 15.7 11.4 13.8 6.7 12.5



2003 8,373 95 24 223 71 1,196 159 71 17 12 616 314 23 51 320 143 60 45 107 182 17 114 118 147 77 92 103 38 31 103 17 237 65 432 249 11 236 154 113 239 13 92 16 150 1,264 69 5 162 125 34 104 15



20001 8,617 107 29 197 80 1,445 164 57 13 11 662 226 21 56 338 175 53 74 90 184 25 143 92 138 68 68 101 35 30 89 22 171 93 499 203 15 288 147 97 189 9 88 18 92 1,398 63 6 194 142 43 58 16



1990 8,504 197 19 145 132 1,424 152 31 19 27 562 202 20 51 296 166 39 86 139 191 40 165 71 161 72 156 191 32 34 50 17 160 98 394 190 8 262 159 118 269 16 152 20 162 1,003 46 9 291 115 61 70 14



2003 11.4 8.7 12.3 14.6 10.5 12.5 13.7 8.3 8.5 11.4 15.5 13.7 7.4 13.7 10.0 9.0 8.6 6.4 10.5 15.2 6.0 8.1 7.9 5.8 6.2 12.1 7.3 17.7 7.0 17.4 5.5 11.0 13.2 9.4 11.9 7.5 8.3 17.9 13.5 8.4 5.2 8.9 8.4 10.8 20.0 9.0 3.9 8.9 8.4 8.4 7.7 12.5



20001 11.9 9.4 15.4 13.8 11.6 15.1 14.5 6.8 6.7 9.8 17.6 10.1 7.1 14.8 10.8 11.6 7.2 11.0 8.9 14.9 8.7 10.3 6.4 5.6 5.5 8.7 7.1 15.3 6.9 16.1 7.3 8.6 18.5 10.8 10.1 10.1 10.4 16.8 11.2 6.7 3.8 8.7 9.6 6.6 23.0 8.6 4.0 10.9 9.2 10.8 4.3 13.1



1990 13.0 17.8 12.5 16.3 19.6 17.5 15.9 3.8 11.8 18.9 18.1 11.9 7.1 15.2 9.8 12.1 5.5 11.9 15.5 18.4 12.3 14.0 5.4 6.6 6.2 18.6 13.1 13.0 7.4 14.9 6.8 8.5 22.0 8.5 12.8 4.3 9.0 19.6 16.1 9.0 8.1 17.9 10.4 12.6 20.8 7.0 6.4 16.3 9.2 13.8 5.7 10.3



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1



. . . . . .



Implementation of Census 2000-based population controls. Sample expanded by 28,000 households.



Survey, Census, or Data Collection Method: Based on the Annual Social and Economic Supplement to the Current Population Survey; for information, see Internet site . Source: U.S. Census Bureau, Current Population Reports, annual, and unpublished data.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



23



Table A-18. States — Health Conditions and Chronic Disease-Related Characteristics



and Diabetes

High blood pressure (percent) High blood cholesterol (percent) Cigarette smoking1 (percent) Heavy drinking2 (percent) Above healthy weight3 (percent) Obesity4 (percent) Diagnosed diabetes (percent) No leisure time physical activity in the past month (percent) 2001 25.4 31.2 21.1 21.9 31.5 26.6 19.2 24.0 25.7 24.2 27.7 27.3 18.9 21.0 26.5 26.2 25.9 26.7 33.4 35.6 23.2 24.2 22.8 23.4 17.1 33.4 27.5 21.9 31.4 22.6 19.5 26.6 25.8 28.7 26.4 23.2 26.2 32.8 20.8 24.7 24.9 26.4 25.4 35.1 27.1 16.5 20.3 23.2 17.1 31.7 20.7 21.2 1991 28.0 34.2 22.1 24.3 36.0 23.3 18.6 25.8 31.5 39.4 28.5 39.9 23.4 22.1 36.1 26.9 30.1 (NA) 42.0 32.6 34.9 27.8 25.2 28.6 23.7 42.6 36.3 16.6 25.2 (NA) 21.3 31.4 33.7 34.3 33.4 28.0 39.7 36.7 19.6 26.4 28.0 36.1 27.1 38.8 27.0 20.8 26.6 25.2 20.6 42.3 25.0 (NA)



Geographic area



2001 United States5. . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.6 31.6 21.8 23.6 29.7 23.3 21.6 24.0 27.2 29.0 26.9 26.9 24.1 24.6 24.8 25.8 25.5 23.9 30.1 27.6 25.2 26.3 23.6 27.3 22.3 31.3 26.5 26.8 22.6 25.6 22.8 26.1 20.0 26.0 27.2 24.1 26.6 28.5 24.9 28.1 25.4 28.8 24.1 29.3 25.6 22.3 21.4 25.8 24.4 32.5 24.1 22.4



1991 21.0 26.7 19.2 19.1 22.9 20.2 19.0 22.1 21.9 20.3 20.3 20.9 21.2 19.3 22.2 24.5 20.5 (NA) 22.5 20.9 21.6 19.9 21.7 23.9 19.9 29.9 23.8 18.5 23.4 (NA) 19.7 21.1 14.8 21.5 18.3 18.6 19.0 24.3 19.5 23.6 22.0 23.9 18.7 23.0 20.6 19.6 22.1 15.6 19.0 24.4 22.0 (NA)



2001 30.2 32.9 28.7 30.3 29.9 31.7 29.4 29.8 30.5 29.0 31.0 31.9 25.1 30.3 29.4 30.1 30.4 29.2 31.1 27.6 30.3 31.1 29.7 33.6 30.2 31.0 31.3 29.0 27.8 36.5 31.0 30.2 24.8 30.1 28.9 29.6 32.8 29.6 32.1 32.5 33.1 27.8 29.5 33.2 31.8 29.0 29.5 30.7 29.2 37.7 29.7 30.5



1991 26.2 25.8 31.2 27.2 26.4 25.7 24.1 27.6 30.5 20.3 24.9 22.3 30.0 25.7 27.2 27.4 24.5 (NA) 30.2 24.6 26.2 24.7 26.5 31.5 24.9 25.7 25.2 27.8 24.2 (NA) 29.3 25.3 23.3 25.0 24.8 26.1 23.8 26.8 26.5 26.6 28.2 26.8 24.9 24.3 26.1 24.6 28.1 29.9 26.5 30.4 26.9 (NA)



2003 22.1 25.3 26.3 21.0 24.8 16.8 18.5 18.7 21.9 22.3 23.9 22.8 17.3 19.0 24.3 26.1 21.7 20.4 30.8 26.6 23.6 20.2 19.2 26.2 21.1 25.6 27.3 19.9 21.3 25.2 21.2 19.5 22.0 21.6 24.8 20.5 25.4 25.2 21.0 25.5 22.4 25.5 22.7 25.7 22.1 12.0 19.6 22.1 19.5 27.4 22.1 24.6



1991 24.2 22.9 26.9 24.2 26.9 20.1 24.3 23.0 26.5 22.3 25.0 21.9 20.7 21.7 24.5 25.2 21.6 (NA) 30.9 25.0 26.9 22.6 22.9 27.8 24.2 24.8 25.5 22.7 22.3 (NA) 24.1 22.6 16.7 24.2 24.5 20.2 23.1 25.6 21.3 25.8 25.4 23.9 23.1 28.5 22.1 14.4 22.6 22.2 24.2 25.5 26.9 (NA)



2001 5.1 4.2 5.8 6.1 4.6 6.2 5.5 5.2 7.1 6.1 5.5 3.9 5.1 4.2 5.5 4.4 4.7 4.8 2.7 4.1 5.5 5.2 7.0 5.9 5.8 4.5 4.8 4.4 4.3 7.8 6.3 4.0 5.0 5.0 4.1 4.8 5.4 3.5 5.9 5.2 7.5 5.5 3.9 2.5 5.4 3.1 6.8 5.1 5.0 3.0 8.7 5.2



1991 3.4 3.2 4.1 3.6 2.5 4.1 4.1 4.0 4.0 3.1 3.8 2.0 5.2 2.2 2.0 3.4 3.5 (NA) 3.3 4.6 3.4 3.2 5.2 4.9 3.6 2.8 4.5 3.9 3.0 (NA) 5.5 3.9 2.6 2.5 3.0 2.5 3.4 2.3 3.7 5.2 4.9 1.3 2.7 1.3 5.1 3.3 3.6 2.9 3.4 1.9 5.0 (NA)



2001 58.9 61.6 63.3 56.0 59.5 59.4 51.7 55.1 59.1 52.1 55.8 59.4 51.4 59.3 58.6 60.0 59.8 57.0 62.1 60.3 58.7 57.0 54.4 60.2 60.5 63.8 59.4 56.8 59.1 56.5 56.0 57.7 57.1 56.0 58.8 61.5 60.1 61.6 58.2 60.4 56.0 59.8 59.4 58.9 61.3 54.8 52.1 57.6 56.0 63.0 59.1 55.6



1991 46.2 46.8 48.7 41.3 47.5 44.6 35.8 43.1 50.1 46.6 45.1 47.1 40.4 45.7 46.7 49.3 46.2 (NA) 48.6 49.4 47.0 43.6 43.1 50.7 45.2 48.9 45.7 43.0 47.7 (NA) 42.5 43.0 40.2 45.8 46.1 47.5 49.3 47.8 45.2 50.3 42.4 49.0 48.6 47.1 45.9 41.4 44.6 40.0 41.9 49.4 48.9 (NA)



2001 21.4 24.9 22.9 19.3 23.0 22.6 15.5 18.2 21.4 20.2 19.2 23.1 18.3 21.0 21.7 25.1 23.4 22.2 24.8 25.0 20.0 20.4 17.1 25.8 20.4 27.1 23.8 19.2 21.2 19.9 19.9 20.0 20.3 20.8 23.1 20.6 22.8 23.2 21.6 22.6 18.1 23.0 21.6 24.2 25.2 19.9 18.1 21.4 19.9 25.3 22.7 19.9



1991 12.9 14.4 13.6 11.8 13.5 10.8 8.9 11.4 15.7 16.2 10.6 9.8 10.5 12.3 13.6 15.7 15.0 (NA) 13.7 16.5 12.8 11.9 9.3 16.3 11.3 16.2 12.6 10.1 13.8 (NA) 10.9 10.4 8.5 13.8 13.9 13.7 16.2 12.5 12.0 15.1 10.2 14.5 13.1 13.2 13.0 10.5 10.7 10.7 11.0 15.6 13.1 (NA)



2001 6.5 9.6 4.0 6.1 7.8 6.5 4.6 6.3 7.1 8.3 8.2 6.9 6.2 5.4 6.6 6.5 5.7 5.8 6.7 7.6 6.7 6.9 5.6 7.2 4.4 9.3 6.6 5.6 5.2 5.7 5.4 7.1 6.2 6.6 6.7 5.1 7.2 7.7 5.7 6.7 6.4 8.1 6.1 7.7 7.1 4.3 5.1 6.0 5.7 8.8 5.6 4.5



1991 4.8 5.1 4.3 3.8 4.8 4.8 2.9 4.6 4.9 6.7 5.1 5.6 6.5 3.7 5.1 5.4 3.8 (NA) 4.8 6.3 4.2 5.2 4.4 5.4 3.7 7.0 4.1 4.9 4.8 (NA) 4.7 4.3 3.4 5.2 6.3 4.4 4.5 4.0 4.8 6.5 5.6 6.5 3.4 7.2 4.7 3.9 4.5 4.2 5.0 6.0 4.9 (NA)



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



NA Not available.

1 2 3



Has smoked 100 cigarettes or more and currently smokes. Having consumed an average of more than 2 drinks for males and more than 1 drink for females per day in the past month. Overweight is defined as having a body mass index greater than or equal to 25.0 and less than or equal to 99.8 kg/m2. 4 In adults age 20 years and over. Obesity is defined as having a body mass index greater than or equal to 30.0 and less than or equal to 99.8 kg/m2. 5 Represents median value among the states and DC. Survey, Census, or Data Collection Method: Based on the Behavioral Risk Factor Surveillance System (BRFSS); for information, see Internet site .



Source: U.S. Centers for Disease Control and Prevention, Atlanta, GA, Morbidity and Mortality Weekly Report, Vol. 53, No. 44, November 12, 2004; Vol. 52, No. 53, January 9, 2004; and Supplemental Summaries Vol. 52, No. SS-8, August 22, 2003; see Internet site .



24



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-19. States — State Public Health, Children Immunized, and STDs and AIDS

State direct public health expenditures Geographic area Percent of children age 19–35 months who were immunized Percent of total state health 2000 27.2 47.1 59.8 52.2 52.4 13.8 23.2 47.3 47.7 (X) (NA) 5.4 26.4 11.1 9.2 19.9 5.2 20.7 24.0 29.8 32.6 21.2 50.7 19.0 18.9 41.0 17.2 15.5 21.4 21.5 30.3 60.4 35.3 50.7 55.0 21.5 21.3 21.5 9.4 37.4 16.1 45.5 3.6 30.7 37.8 25.6 20.4 37.8 24.3 10.3 8.4 – 2003 3.0 6.2 0.7 2.3 2.9 4.3 0.6 4.1 3.0 (X) 2.3 3.0 4.0 2.2 1.3 2.0 2.0 1.7 1.9 2.1 3.2 1.9 1.8 2.1 2.6 2.8 2.6 5.6 2.4 3.1 2.8 6.4 1.0 3.1 2.8 2.1 2.0 2.3 3.2 3.2 2.5 3.1 0.7 2.5 3.7 4.6 1.7 3.7 2.0 1.4 1.0 5.4 2000 2.9 5.4 3.0 6.6 4.5 1.7 3.2 4.1 4.0 (X) (NA) 0.6 2.1 1.6 1.1 2.7 0.8 2.7 2.4 2.8 2.7 2.2 4.4 1.9 2.1 4.0 1.8 1.9 2.2 4.3 3.3 5.6 3.7 2.9 5.1 2.2 2.6 2.9 1.2 3.1 1.1 4.3 0.5 3.1 4.0 4.8 1.8 6.3 2.3 0.9 1.0 – 2003– 2004 80.5 82.6 78.2 78.2 79.5 79.3 70.9 92.4 82.9 78.2 84.0 78.9 82.9 80.8 83.3 79.3 82.2 79.1 84.2 72.6 82.0 83.7 88.1 80.9 85.9 87.3 83.3 78.4 82.4 71.5 83.9 78.8 77.9 83.3 86.2 78.4 81.7 77.0 80.6 84.1 88.0 80.5 81.7 79.0 73.7 71.5 83.2 81.7 76.8 83.3 80.5 80.1 2001– 2002 73.1 77.0 71.7 70.1 69.6 71.7 69.2 77.4 73.4 67.8 70.5 79.3 78.1 65.0 76.4 71.6 77.5 71.6 77.3 66.2 73.9 78.6 80.9 73.3 74.0 79.6 72.7 71.9 78.5 74.4 79.6 69.0 61.2 75.3 80.7 77.4 71.7 68.6 72.7 75.8 81.3 76.7 78.0 78.0 66.7 74.3 81.1 67.0 70.7 74.6 77.4 74.6 2000– 2001 74.2 77.7 75.1 67.8 67.9 74.0 72.7 77.6 78.6 68.1 72.5 81.4 72.8 70.4 71.2 76.6 80.5 72.9 74.8 68.9 78.4 70.6 78.6 73.8 77.9 77.7 75.4 76.1 78.3 66.0 79.5 73.7 65.5 74.8 80.6 81.9 71.9 67.3 71.4 81.5 81.0 79.5 76.0 80.1 67.7 68.3 78.7 79.1 73.2 75.0 78.4 78.8 2003

7



Percent of adults age 65 years and over who received influenza vaccine1



Total (mil. dol.) 2003 2000 7,656.0 209.5 37.5 267.8 140.1 467.3 99.9 161.2 37.4 (X) (NA) 44.4 32.0 14.4 114.2 121.3 15.2 55.7 97.1 133.1 41.6 112.2 322.1 188.7 93.0 116.5 96.0 14.0 36.6 43.0 37.5 508.2 64.2 961.5 442.6 13.8 242.3 74.1 32.3 459.1 16.9 182.4 2.7 174.4 787.7 57.2 12.4 267.6 143.4 18.6 45.3 –



Per capita4 (dol.) 2003 36.7 68.7 13.3 22.4 32.4 47.3 4.1 61.5 49.0 (X) 20.8 37.3 67.0 18.4 13.3 17.9 18.3 17.5 23.2 30.4 51.4 23.5 21.6 23.7 35.6 40.8 34.7 57.4 29.8 22.8 30.4 94.1 12.6 71.3 35.5 25.7 23.7 22.6 34.9 49.3 43.4 41.3 6.9 33.9 41.9 29.8 23.6 27.2 25.8 17.3 9.7 76.5



2002

7



2001

7



United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



10,664.9 309.2 8.6 124.7 88.5 1,676.8 18.7 214.5 40.1 (X) 353.6 323.6 83.7 25.2 167.9 110.7 53.9 47.7 95.6 136.4 67.3 129.4 138.5 239.4 180.2 117.7 198.6 52.7 51.7 51.2 39.2 813.1 23.6 1,369.0 298.6 16.3 271.2 79.1 124.5 610.3 46.7 171.3 5.3 198.4 926.0 70.2 14.6 200.2 158.2 31.4 53.3 38.4



70.2 70.2 66.5 68.9 71.0 72.5



68.7 64.8 69.5 69.7 69.0 71.5



67.3 65.9 62.8 61.8 63.2 68.9



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



74.2 74.3 70.0 63.0 65.9 67.0 71.6 70.3 63.3 66.1 77.5 70.8 69.1 68.3 74.8 68.4 74.9 67.5 80.3 69.0 69.9 72.8 73.6 60.0 73.9 67.2 72.4 68.0 68.8 73.0 68.0 75.8 70.5 69.2 76.2 69.3 77.9 69.1 67.7 74.8 74.1 69.6 73.4 69.1 72.1 72.6



73.3 71.4 71.5 58.7 57.0 59.3 73.9 65.1 61.1 66.3 73.5 68.6 65.7 57.3 73.8 65.9 72.6 67.7 76.6 63.0 68.7 67.6 68.2 60.3 72.3 69.1 66.6 64.7 68.1 73.9 66.6 72.7 68.0 70.5 73.7 69.4 74.2 71.6 61.0 71.1 73.6 65.3 65.1 65.8 74.0 70.6



77.4 69.1 67.6 55.5 54.9 62.2 79.0 65.1 62.2 65.7 72.8 68.5 60.9 56.1 71.5 67.3 70.6 60.4 70.1 61.8 67.5 73.1 70.1 63.3 69.4 64.5 70.0 62.5 66.1 70.0 63.4 72.7 71.7 63.8 72.6 66.2 74.1 65.6 61.8 68.7 71.5 65.3 72.5 61.7 70.4 69.6



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



25



Table A-19. States — State Public Health, Children Immunized, and STDs and AIDS—Con.

AIDS2 cases reported Geographic area 2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,704 472 23 614 188 5,903 366 736 213 961 4,666 1,907 110 26 1,730 507 77 116 219 1,041 52 1,570 757 680 177 508 403 7 59 277 37 1,516 109 6,684 1,083 3 775 213 242 1,895 102 774 13 837 3,379 73 16 777 525 94 184 8 NA Not available. Number 2002 42,336 433 35 633 239 4,228 326 611 193 926 4,979 1,471 131 31 2,111 491 90 71 304 1,163 28 1,848 808 795 162 436 388 17 71 313 39 1,456 86 6,741 1,045 3 773 205 300 1,789 107 822 11 772 3,076 68 12 948 471 82 187 11 X Not applicable. 2000 40,307 482 23 443 194 4,696 339 614 220 873 4,905 1,231 115 22 1,758 382 92 127 210 661 40 1,455 1,185 761 184 428 452 16 77 283 30 1,875 144 6,301 674 3 588 353 208 1,658 99 789 8 839 2,631 148 38 872 496 61 213 11 2003 15.0 10.5 3.5 11.0 6.9 16.6 8.0 21.1 26.1 170.6 27.4 22.0 8.7 1.9 13.7 8.2 2.6 4.3 5.3 23.2 4.0 28.5 11.8 6.7 3.5 17.6 7.1 0.8 3.4 12.4 2.9 17.5 5.8 34.8 12.9 0.5 6.8 6.1 6.8 15.3 9.5 18.7 1.7 14.3 15.3 3.1 2.6 10.5 8.6 5.2 3.4 1.6 Rate5 2002 14.7 9.7 5.5 11.6 8.8 12.1 7.2 17.7 23.9 162.7 29.8 17.2 10.6 2.3 16.8 8.0 3.1 2.6 7.4 26.0 2.2 33.9 12.6 7.9 3.2 15.2 6.8 1.9 4.1 14.4 3.1 17.0 4.6 35.2 12.6 0.5 6.8 5.9 8.5 14.5 10.0 20.0 1.4 13.3 14.2 2.9 1.9 13.0 7.8 4.5 3.4 2.2 2000 14.3 10.8 3.7 8.6 7.2 13.8 7.8 18.0 28.0 152.9 30.6 15.0 9.5 1.7 14.1 6.3 3.1 4.7 5.2 14.8 3.1 27.4 18.6 7.6 3.7 15.0 8.1 1.8 4.5 14.0 2.4 22.2 7.9 33.2 8.3 0.5 5.2 10.2 6.1 13.5 9.4 19.6 1.1 14.7 12.6 6.6 6.2 12.3 8.4 3.4 4.0 2.2 Total6 1,246,906 24,078 4,481 17,507 12,403 147,593 16,037 12,714 4,210 6,006 64,640 55,524 6,802 2,479 71,487 24,131 8,091 9,973 11,720 34,396 2,284 25,838 14,849 47,397 14,111 18,956 27,569 2,669 6,389 8,200 1,778 25,202 8,854 83,758 42,153 1,760 65,540 15,918 8,808 49,864 4,063 23,713 2,839 29,775 97,794 4,379 1,158 29,057 19,789 3,443 23,716 1,011 Chlamydia 877,478 14,209 3,900 12,819 7,856 117,428 13,039 9,393 3,035 3,168 42,382 35,686 5,480 2,366 48,294 17,075 6,491 7,249 7,981 20,970 2,030 16,831 11,301 32,572 10,714 12,193 18,570 2,547 4,739 5,830 1,616 16,169 7,480 57,222 26,187 1,655 42,522 11,013 7,688 37,291 3,000 14,623 2,608 20,380 69,200 3,893 1,060 19,439 16,797 2,585 17,942 960 Gonorrhea 335,104 9,303 573 3,580 4,251 25,963 2,854 3,114 1,128 2,508 18,974 17,686 1,263 68 21,817 6,681 1,554 2,647 3,578 11,850 233 8,032 2,901 13,965 3,202 6,328 8,792 122 1,623 2,221 125 7,944 1,169 22,166 15,116 103 22,537 4,552 1,000 11,866 973 8,518 226 8,519 24,595 412 97 9,066 2,753 847 5,663 46 Syphilis 34,270 566 8 1,106 296 4,202 144 207 47 330 3,282 2,152 59 45 1,376 375 46 77 160 1,576 21 974 644 860 195 435 207 – 27 149 37 1,089 205 4,360 848 2 481 353 118 706 90 548 5 876 3,996 72 1 552 239 11 111 4 STD3 cases, 2003



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



– Represents zero.

1 2 3



Refers to the number of persons age 65 years and over who reported receiving influenza vaccine during the preceding year. Acquired Immunodeficiency Syndrome. Sexually transmitted disease. 4 Based on enumerated resident population as of April 1 for 2000; estimated resident population as of July 1 for 2003. 5 Per 100,000 population. 6 Includes cases of chancroid not shown here. 7 Represents median value among the states and DC. Survey, Census, or Data Collection Method: State public health expenditures—Based on surveys completed by governors’ state budget officers in the 50 states; for information, see Internet site ; Influenza vaccine—Based on the Behavioral Risk Factor Surveillance System (BRFSS) survey; for information, see Internet site ; AIDS—Based on confidential name-based registeries of state and local health departments; for information, see Internet site ; STDs— Based on STD control programs and health departments in the 50 states, the District of Columbia, selected cities, 3,140 U.S. counties, U.S. dependencies and possessions, and independent nations in free association with the United States; for information, see Internet site . Sources: State public health expenditures—Milbank Memorial Fund, the National Association of State Budget Officers, and the Reforming States Group, 2002–2003 State Health Care Expenditure Report (copyright) and 2000–2001 State Health Care Expenditure Report (copyright); Children immunized—U.S. Centers for Disease Control and Prevention, Atlanta, GA, National Immunization Survey, accessed 4 March 2005, see ; Adults who received vaccine—U.S. Centers for Disease Control and Prevention, Atlanta, GA, Morbidity and Mortality Weekly Report, Vol. 53, No. 43, November 5, 2004; Vol. 52, No. 41, October 17, 2003; Vol. 51, No. 45, November 15, 2002, see ; AIDS—U.S. Centers for Disease Control and Prevention, Atlanta, GA, HIV/AIDS Surveillance Report, annual, see ; STDs—U.S. Centers for Disease Control and Prevention, Sexually Transmitted Disease Surveillance, annual, see .



26



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-20. States — Public School Fall Enrollment

Total (1,000) Geographic area 2002 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,202 740 134 938 451 6,356 752 570 116 76 2,540 1,496 184 249 2,084 1,004 482 471 661 730 204 867 983 1,785 847 493 924 150 285 369 208 1,367 320 2,888 1,336 104 1,838 625 554 1,817 159 695 128 928 4,260 489 100 1,177 1,015 282 881 88 2000 47,204 740 133 878 450 6,141 725 562 115 69 2,435 1,445 184 245 2,049 989 495 471 666 743 207 853 975 1,721 854 498 913 155 286 341 208 1,313 320 2,882 1,294 109 1,835 623 546 1,814 157 677 129 909 4,060 481 102 1,145 1,005 286 879 90 1995 44,840 746 128 744 453 5,536 656 518 108 80 2,176 1,311 187 243 1,944 977 502 463 660 797 214 806 915 1,641 835 506 890 166 290 265 194 1,197 330 2,813 1,183 119 1,836 616 528 1,788 150 646 145 894 3,748 477 106 1,080 957 307 870 100 1990 41,217 722 114 640 436 4,950 574 469 100 81 1,862 1,152 172 221 1,821 955 484 437 636 785 215 715 834 1,584 756 502 817 153 274 201 173 1,090 302 2,598 1,087 118 1,771 579 472 1,668 139 622 129 825 3,383 447 96 999 840 322 798 98 2002 34,135 534 94 660 319 4,529 534 406 82 59 1,809 1,089 131 173 1,488 714 326 322 477 537 142 610 701 1,254 568 360 653 101 195 271 144 979 224 2,017 964 69 1,284 449 382 1,242 113 501 87 674 3,080 343 68 832 697 200 592 60 2000 33,688 539 94 641 318 4,408 517 406 81 54 1,760 1,060 132 170 1,474 703 334 323 471 547 146 609 703 1,222 578 364 645 105 195 251 147 968 225 2,029 945 72 1,294 445 379 1,258 114 493 88 668 2,943 333 70 816 694 201 595 60 1995 32,341 539 93 549 322 4,041 479 384 77 62 1,614 966 136 170 1,390 684 344 329 468 580 156 590 675 1,192 586 366 636 116 203 196 142 880 229 1,980 871 82 1,297 446 376 1,257 110 463 101 651 2,757 328 75 788 680 211 603 69 1990 29,878 527 85 479 314 3,615 420 347 73 61 1,370 849 123 160 1,310 676 345 320 459 586 155 527 604 1,145 546 372 588 111 198 150 126 784 208 1,828 783 85 1,258 425 340 1,172 102 452 95 598 2,511 325 71 728 613 224 566 71 2002 14,067 206 40 277 132 1,828 217 164 34 17 731 407 53 75 597 290 156 149 184 194 63 256 282 531 279 132 272 49 90 99 64 389 96 871 372 35 554 176 172 575 47 194 41 254 1,180 147 32 346 318 82 290 28 2000 13,515 201 39 237 132 1,733 208 156 34 15 675 385 52 75 575 286 161 147 194 197 61 244 273 498 277 134 268 50 91 90 61 346 95 853 348 37 541 178 167 556 44 184 41 241 1,117 148 32 329 310 85 285 30 1995 12,500 207 34 195 131 1,495 177 134 31 18 563 345 52 74 553 293 158 134 192 217 58 215 240 450 249 140 254 49 87 69 52 317 100 833 312 37 539 171 152 531 40 182 43 243 991 149 30 292 277 96 267 31 1990 11,338 195 29 161 123 1,336 154 122 27 19 492 303 49 61 512 279 139 117 177 199 60 188 230 440 211 131 228 42 76 51 46 306 94 770 304 33 514 154 132 496 37 170 34 226 872 122 25 270 227 98 232 27 2002 90.4 90.8 94.9 88.6 90.6 92.6 91.0 91.3 81.6 99.2 89.7 92.1 86.3 91.5 88.5 85.9 92.6 92.2 91.4 84.2 91.6 85.6 90.2 93.7 90.6 88.9 88.9 90.6 88.1 90.8 88.7 87.9 86.5 85.8 90.3 92.9 87.8 97.8 88.2 84.6 87.2 93.2 87.7 91.4 97.0 95.5 92.5 90.6 91.1 96.5 87.9 95.4 2000 88.8 89.6 93.4 88.4 90.2 90.5 89.7 90.7 80.3 84.0 89.7 91.4 84.8 90.3 86.4 85.8 91.3 90.0 91.4 82.6 90.3 84.9 88.5 89.5 89.5 87.5 86.5 89.1 86.2 91.8 89.1 85.9 85.0 83.6 90.4 90.9 86.1 95.4 87.5 82.8 85.6 90.9 85.3 88.8 94.9 94.5 90.5 89.5 89.8 95.6 86.0 92.7 1995 91.5 95.3 94.9 90.1 94.6 92.7 92.6 91.7 86.6 105.8 91.0 95.7 88.5 95.2 88.0 90.6 93.2 91.6 92.9 88.8 93.6 89.1 89.9 88.8 90.8 91.8 87.9 93.6 88.6 95.7 89.7 86.2 91.8 88.6 92.2 93.2 88.3 95.5 90.1 84.6 88.2 94.5 94.5 94.7 98.9 97.3 96.0 93.6 92.9 96.2 86.8 97.0 1990 91.2 93.2 97.4 93.3 95.8 92.6 94.6 90.2 87.2 100.6 92.6 93.7 87.4 96.9 86.9 90.4 92.1 92.5 90.5 88.1 96.5 89.1 88.8 90.3 91.3 91.3 86.5 94.1 88.7 98.6 89.1 85.9 94.4 86.6 94.8 92.6 88.0 95.1 90.6 83.5 87.5 93.9 89.9 93.5 98.4 97.8 94.3 94.2 94.1 95.7 86.1 97.7 Prekindergarten through grade 8 (1,000) Grades 9 through 12 (1,000) Enrollment rate1



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1



. . . . . .



Percent of persons ages 5–17 years. Based on enumerated resident population as of April 1, 1990 and 2000, and estimated resident population as of July 1 for 2001 and 2002. Based on the NCES Common Core of Data (CCD); for information, see Internet site .



Survey, Census, or Data Collection Method: Source:



U.S. National Center for Education Statistics, Digest of Education Statistics, annual, see Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



27



Table A-21. States — Public Elementary and Secondary Schools—Finances and



Teachers

Receipts, 2003–2004 (mil. dol.) Revenue receipts Geographic area Elementary and secondary day schools (mil. dol.) 397,015 4,887 1,314 5,154 2,715 47,771 6,079 6,784 1,161 867 17,380 12,347 1,510 1,585 20,299 8,502 3,503 3,435 4,736 5,282 2,051 7,983 10,562 14,857 7,469 2,994 6,203 1,141 2,089 2,552 1,878 15,728 2,547 34,832 9,344 676 16,673 3,740 4,217 16,866 1,640 4,767 887 5,980 30,905 2,479 1,055 10,381 7,511 2,530 8,345 820 Expenditures, 2003–2004 Current expenditures Average per pupil in average daily attendance Amount (dol.) 8,807 6,953 11,432 5,595 6,663 7,860 8,651 12,394 10,347 14,621 7,181 8,671 9,019 6,779 10,866 9,138 7,696 8,189 8,298 7,840 10,961 9,824 11,445 9,416 9,513 6,556 7,548 8,631 7,947 6,177 9,902 11,847 8,772 12,408 7,511 7,112 10,102 6,405 8,575 9,949 10,976 7,395 7,611 6,983 7,698 5,556 12,157 9,401 7,904 9,509 10,293 10,413 Number (1,000) Capital outlay (mil. dol.) 47,707 417 38 774 353 7,888 856 476 155 169 3,349 1,718 65 80 2,316 793 529 258 291 721 142 700 482 3,010 1,253 312 765 47 233 659 174 310 433 2,400 923 81 1,767 268 504 1,934 37 829 106 113 4,787 470 77 830 1,664 70 954 126 Average salary ($1,000) Teachers,1 2003–2004



Source Nonrevenue Local receipts2 196,798 1,711 308 2,907 1,293 18,692 3,267 4,055 369 712 9,746 6,320 32 500 11,286 4,212 1,974 1,791 1,545 2,185 1,039 4,953 6,667 4,566 1,931 1,053 4,698 512 1,159 1,844 993 10,731 387 18,600 2,371 429 8,908 1,432 1,580 10,839 888 2,595 507 2,679 17,862 987 286 5,951 2,473 765 3,838 370 35,653 285 157 96 61 9,813 1,067 12 175 – 1,591 416 32 50 2,085 709 285 486 10 664 115 205 1 342 1,105 150 637 28 21 592 234 154 97 742 846 91 2,941 257 374 178 – 804 86 332 4,292 1 50 800 795 110 1,262 20 Total3 (mil. dol.) 471,965 5,499 1,418 6,346 3,160 58,752 7,272 7,469 1,380 1,042 21,869 14,299 1,683 1,700 29,528 10,191 4,139 3,863 5,203 6,144 2,247 8,971 11,602 18,954 9,417 3,394 7,366 1,205 2,385 3,399 2,103 16,449 3,022 39,309 10,382 833 19,065 4,078 4,934 20,008 1,715 5,899 1,017 6,309 37,498 3,103 1,206 12,012 9,574 2,785 9,813 952 Per capita4 (dol.) 1,623 1,221 2,187 1,137 1,158 1,657 1,599 2,142 1,687 1,869 1,286 1,648 1,347 1,244 2,334 1,644 1,407 1,418 1,263 1,367 1,716 1,627 1,807 1,880 1,860 1,178 1,288 1,312 1,373 1,516 1,632 1,903 1,608 2,046 1,233 1,316 1,667 1,163 1,384 1,617 1,594 1,422 1,329 1,079 1,696 1,319 1,948 1,631 1,561 1,538 1,792 1,896



Total United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 488,447 5,613 1,443 7,145 3,596 70,408 7,557 7,469 1,429 827 22,752 14,299 2,138 1,700 20,325 10,471 4,535 4,760 5,205 6,442 2,247 9,278 12,228 17,055 9,716 3,586 8,609 1,279 2,230 3,617 2,309 18,297 2,998 39,242 10,268 938 21,487 4,600 4,776 19,552 1,496 6,809 1,092 6,523 39,680 3,023 1,232 12,110 9,553 2,837 10,675 991



Total 452,795 5,328 1,285 7,049 3,535 60,595 6,489 7,457 1,254 827 21,161 13,883 2,106 1,650 18,240 9,763 4,251 4,274 5,196 5,779 2,132 9,074 12,227 16,713 8,612 3,436 7,972 1,251 2,209 3,025 2,075 18,143 2,901 38,500 9,422 847 18,546 4,343 4,402 19,374 1,496 6,004 1,006 6,191 35,387 3,022 1,182 11,310 8,758 2,728 9,413 970



Federal 38,856 639 161 552 391 6,501 426 436 82 115 2,220 1,227 173 150 1,408 642 312 345 620 782 201 663 838 944 543 513 697 148 157 216 121 520 512 2,400 1,015 111 1,167 553 468 1,529 55 640 159 709 3,882 279 95 770 829 321 522 94



State 217,140 2,977 817 3,589 1,851 35,401 2,797 2,967 804 – 9,195 6,335 1,901 1,000 5,546 4,908 1,965 2,138 3,031 2,811 891 3,458 4,722 11,204 6,138 1,869 2,577 590 892 965 961 6,892 2,002 17,500 6,035 307 8,472 2,358 2,354 7,007 553 2,769 339 2,804 13,644 1,756 801 4,588 5,457 1,641 5,052 506



Rank (X) 43 6 49 45 32 25 2 11 (X) 40 24 22 44 9 21 35 29 28 33 8 16 5 19 17 46 37 26 30 48 15 4 23 1 38 41 13 47 27 14 7 39 36 42 34 50 3 20 31 18 12 10



Elementary5

6



Secondary5

6



Elementary5

6 6



Secondary5

6 6



1,781.9 28.0 5.1 30.8 15.6 220.7 22.4 30.3 3.8 4.1 74.6 62.5 6.0 7.2 89.9 32.1 16.5 16.0 27.7 35.3 10.7 32.7 28.0 49.2 26.6 18.3 33.2 6.9 13.5 11.8 10.5 39.7 15.3 111.0 61.7 5.2 80.6 20.4 17.8 61.9 8.3 31.8 6.3 42.4 148.9 11.7 4.7 56.9 29.3 13.7 41.3 3.2

6



1,264.7

6



46.4



47.1 38.7 52.2 41.8 41.1 56.4 43.2 58.1 49.7 57.0 40.6 46.9 45.5 41.1 61.8 45.8 40.2 38.6 40.8 37.9 40.0 48.5 53.2 54.4 44.3 35.7 37.9 37.2 38.4 42.7 42.7 56.3 38.9 55.8 43.2 34.8 47.4 35.3 49.2 51.8 52.3 40.0 33.1 41.1 40.9 39.0 42.3 44.9 45.4 39.0 43.3 39.5



20.5 2.7 14.7 16.4 85.2 22.5 12.7 3.9 1.6 73.6 41.1 5.3 6.9 40.1 27.7 18.3 16.6 11.6 15.1 5.0 22.5 37.2 45.9 25.7 12.4 31.8 3.4 7.1 8.2 4.6



37.9 51.5 41.8 37.4 56.4 43.3 56.9 49.0 57.0 40.6 45.4 45.5 41.1 50.9 45.8 38.6 38.6 40.0 37.9 39.8 50.2 53.2 54.4 45.8 35.7 38.1 37.2 38.4 41.9 42.7 54.4 37.7 54.7 43.2 35.8 47.5 34.8 49.2 51.9 52.3 39.3 33.3 40.0 40.0 39.0 41.7 42.8 45.5 38.2 42.7 39.6



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



67.8 6.2 113.0 26.3 2.5 37.2 18.8 9.9 56.5 5.3 13.3 2.7 16.2 140.6 9.9 4.3 41.7 23.6 6.1 18.8 3.4



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



– Represents zero.

1



X Not applicable.



Full-time equivalent. 2 Amount received by local education agencies from the sales of bonds and real property and equipment, loans, and proceeds from insurance adjustments. 3 Includes interest on school debt and other current expenditures not shown separately. 4 Based on U.S. Census Bureau estimated resident population as of July 1, 2003. 5 Schools classified by type of organization rather than by grade-group; elementary includes kindergarten. 6 There is some duplication in elementary and secondary levels. Survey, Census, or Data Collection Method: Source: For information, see Internet site .



National Education Association, Washington, DC, Estimates of School Statistics Database (copyright).



28



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-22. States — Public High School Graduates and Educational Attainment

Public high school graduates1 (1,000) Educational attainment, 2003



Geographic area



Percent of persons 25 years and over, by highest level completed



2004 estimate United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,757.5 37.6 7.1 57.0 26.9 342.6 42.9 34.4 6.8 3.2 129.0 69.7 10.3 15.5 121.3 57.6 33.8 30.0 36.2 36.2 13.4 53.0 57.9 106.3 59.8 23.6 57.0 10.5 20.0 16.2 13.3 88.3 18.1 150.9 71.4 7.8 116.3 36.7 32.5 121.6 9.3 32.1 9.1 43.6 236.7 29.9 7.0 71.7 60.4 17.1 62.3 5.7



2000 2,553.8 37.8 6.6 38.3 27.3 309.9 38.9 31.6 6.1 2.7 106.7 62.6 10.4 16.2 111.8 57.0 33.9 29.1 36.8 38.4 12.2 47.8 53.0 97.7 57.4 24.2 52.8 10.9 20.1 14.6 11.8 74.4 18.0 141.7 62.1 8.6 111.7 37.6 30.2 114.0 8.5 31.6 9.3 41.6 212.9 32.5 6.7 65.6 57.6 19.4 58.5 6.5



1995 2,273.5 36.3 5.8 31.0 24.6 255.2 32.4 26.4 5.2 3.0 89.8 56.7 9.4 14.2 105.2 56.1 31.3 26.1 37.6 36.5 11.5 41.4 47.7 84.6 49.4 23.8 48.9 10.1 18.0 10.0 10.1 67.4 14.9 132.4 59.5 7.8 109.4 33.3 26.7 104.1 7.8 30.7 8.4 43.6 170.3 27.7 5.9 58.3 49.3 20.1 51.7 5.9



1990 2,320.3 40.5 5.4 32.1 26.5 236.3 33.0 27.9 5.6 3.6 88.9 56.6 10.3 12.0 108.1 60.0 31.8 25.4 38.0 36.1 13.8 41.6 55.9 93.8 49.1 25.2 49.0 9.4 17.7 9.5 10.8 69.8 14.9 143.3 64.8 7.7 114.5 35.6 25.5 110.5 7.8 32.5 7.7 46.1 172.5 21.2 6.1 60.6 45.9 21.9 52.0 5.8



Population 25 years and over (1,000) 184,395 2,867 379 3,435 1,719 21,986 2,888 2,286 525 378 11,327 5,361 817 824 7,993 3,860 1,876 1,687 2,647 2,739 883 3,549 4,252 6,396 3,214 1,747 3,614 591 1,086 1,437 847 5,659 1,156 12,503 5,356 401 7,324 2,185 2,319 8,110 701 2,634 470 3,789 13,189 1,276 411 4,732 3,945 1,217 3,489 318



Not a high school graduate 16.4 21.2 8.8 16.5 20.3 19.8 11.9 12.4 14.0 18.3 16.0 19.1 12.2 12.1 14.8 16.3 11.1 11.2 21.3 21.1 11.7 13.2 12.3 12.9 9.2 22.6 14.6 9.5 10.3 17.9 10.6 14.7 19.7 16.8 19.9 11.6 14.0 16.7 12.3 14.4 18.4 18.5 11.4 18.9 22.2 10.0 11.4 15.5 10.3 21.7 12.9 9.7



High school graduate 29.8 30.8 30.2 26.1 35.5 21.9 23.8 29.8 33.3 19.3 30.1 30.2 30.2 29.7 29.0 36.8 36.9 30.2 35.1 32.2 36.5 27.5 27.9 32.2 29.4 31.3 33.5 32.7 31.9 31.7 29.9 31.2 27.4 29.5 29.2 30.2 37.3 32.4 27.3 39.4 28.6 31.5 33.9 34.3 26.3 26.1 33.3 27.1 25.7 40.3 34.6 32.6



Some college, but no degree 20.3 20.4 27.0 25.6 20.4 21.7 22.5 16.8 18.4 15.5 21.0 19.6 20.8 26.1 21.1 19.4 20.8 23.3 19.4 21.2 17.8 18.4 16.5 22.8 22.3 20.8 21.5 25.0 24.4 25.2 19.1 16.4 22.6 16.1 18.9 23.6 19.0 22.6 26.6 15.4 16.6 19.6 22.8 19.9 21.0 28.5 15.6 19.0 25.4 16.2 20.4 25.6



Associate’s degree 7.0 6.5 7.4 7.5 4.8 7.4 7.1 6.4 6.7 2.7 7.9 5.4 8.6 8.1 7.0 6.6 8.7 6.6 5.7 4.2 8.2 6.4 7.5 7.8 8.6 6.7 6.4 7.1 8.1 5.7 10.1 5.6 6.6 7.9 7.7 9.5 6.7 6.4 7.5 6.7 7.3 7.2 8.9 5.4 5.9 9.2 7.8 6.1 8.4 4.9 8.3 8.5



Bachelor’s degree 16.9 13.8 17.3 15.6 12.3 18.7 22.3 20.3 17.2 21.2 16.1 16.7 19.0 16.0 17.3 13.0 15.7 18.9 11.1 14.6 17.4 19.3 20.8 15.1 21.1 12.6 15.4 18.2 17.4 12.8 19.6 20.3 13.4 17.2 16.5 18.7 14.8 14.7 17.2 15.4 18.4 15.7 17.2 14.0 16.4 17.7 19.9 19.8 20.2 10.5 15.8 16.1



Advanced degree2 9.7 7.3 9.4 8.7 6.8 10.4 12.4 14.3 10.4 22.9 9.0 9.0 9.2 8.0 10.8 8.0 6.8 9.8 7.6 6.7 8.5 15.2 15.1 9.2 9.5 6.1 8.7 7.5 7.9 6.7 10.7 11.8 10.4 12.6 7.8 6.4 8.1 7.2 9.2 8.8 10.7 7.5 5.9 7.5 8.1 8.5 12.1 12.4 10.0 6.5 8.0 7.6



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1 2



. . . . . .



For school year ending in year shown. Graduate or professional degree.



Survey, Census, or Data Collection Method: Public high school graduates—Based on the NCES Common Core of Data (CCD); for information, see Internet site ; Attainment—Based on the American Community Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site . Sources: Public high school graduates—U.S. National Center for Education Statistics, Digest of Education Statistics, annual; Attainment—U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Social Characteristics, accessed 24 June 2005. See Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



29



Table A-23. States — Institutions of Higher Education

Fall enrollment1 (1,000) State appropriations for higher education, 2003–2004 Net tuition as a percent of total educational revenue (educational appropriations plus net tuition) 35.1 47.6 23.7 32.3 35.2 19.8 59.2 38.6 57.7 (X) 30.6 14.8 19.8 22.0 16.0 49.4 47.3 35.9 30.4 27.9 45.4 51.7 36.4 50.4 41.7 35.7 37.7 49.7 38.1 22.0 56.0 35.6 16.6 35.1 24.8 40.4 49.4 30.8 51.4 53.3 50.9 33.2 50.8 44.4 30.0 33.6 78.7 46.2 24.3 44.4 37.5 15.5



Geographic area



Total



Public



Private



2002 United States5. . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,612 246 30 402 127 2,474 282 171 49 91 792 398 65 72 777 342 203 188 225 232 63 300 431 606 324 147 348 45 117 96 69 362 121 1,107 447 46 588 198 205 655 77 202 48 262 1,152 179 37 405 339 94 329 33



2000 15,312 234 28 342 115 2,257 264 161 44 73 708 346 60 66 744 314 189 180 188 224 58 274 421 568 293 137 321 42 112 88 62 336 111 1,043 405 40 550 178 183 610 75 186 43 264 1,034 164 35 382 321 88 307 30



1990 13,819 219 30 264 90 1,809 227 169 42 80 588 252 56 52 729 285 171 164 178 187 57 260 418 570 254 123 290 36 113 62 60 324 86 1,048 352 38 558 173 166 604 78 159 34 226 901 121 36 353 263 85 300 31



2002 12,752 218 28 307 114 2,121 234 109 37 6 618 317 48 58 554 259 146 168 189 198 45 247 188 496 236 134 214 41 92 90 41 289 112 611 368 41 442 171 174 370 39 168 38 194 1,007 136 21 337 293 80 268 31



2000 11,753 207 27 285 102 1,928 218 101 34 5 557 272 45 54 534 240 135 160 152 189 41 224 183 468 219 125 202 37 89 83 36 267 101 583 329 36 411 154 155 339 38 156 35 203 897 123 20 314 274 76 250 29



1990 10,845 196 28 248 79 1,595 201 110 34 13 489 196 46 41 551 224 118 149 147 158 42 221 186 487 199 109 200 32 95 61 32 262 83 617 285 35 428 151 144 343 42 131 27 175 802 86 21 291 228 74 254 31



2002 3,860 29 1 94 14 353 49 62 12 85 174 80 17 14 223 83 57 20 37 35 18 53 243 110 88 13 134 4 25 6 28 72 9 497 79 5 146 27 31 284 39 34 10 68 146 43 15 68 46 14 61 2



2000 3,560 27 1 58 13 329 46 60 10 67 151 74 16 12 210 74 54 20 36 35 18 50 238 100 75 12 120 5 24 5 26 69 9 460 75 4 138 24 28 270 37 30 8 61 137 41 15 68 47 12 57 1



1990 2,974 23 2 16 12 214 26 59 8 68 99 55 11 11 178 61 53 15 31 29 16 39 232 82 55 14 90 4 18 (Z) 27 63 2 431 67 3 130 22 21 261 36 28 8 51 99 35 15 62 36 11 46 1



Fulltime equivalent enrollment2 (1,000) 9,916.6 183.3 37.6 211.2 97.7 1,623.5 161.2 70.0 31.0 (X) 526.7 210.0 35.4 49.8 378.1 218.4 117.7 110.2 144.7 183.3 34.5 165.5 137.5 357.6 189.8 145.9 138.1 35.8 71.3 57.2 30.5 195.5 79.6 487.3 315.2 36.2 378.7 133.4 124.4 322.7 27.8 137.1 28.1 169.4 812.9 108.6 17.8 257.7 220.0 69.5 218.9 22.2



Educational appropriations3 (mil. dol.) 56,597.1 860.4 198.1 1,203.3 511.0 9,908.6 516.1 624.4 182.6 (X) 2,261.0 1,728.5 339.0 301.2 2,562.5 1,114.5 618.6 654.8 920.3 923.2 203.7 890.0 965.4 2,127.6 1,056.3 580.6 970.7 140.1 390.5 448.2 101.1 1,627.5 444.8 3,247.2 2,111.3 157.3 1,772.1 649.9 593.7 1,727.9 171.9 692.8 124.0 856.1 4,293.6 548.4 45.8 1,178.0 1,212.2 287.2 1,300.5 252.4



Educational appropriations per full-time equivalent enrollment (dol.) 5,716 4,693 5,269 5,699 5,233 6,103 3,202 8,916 10,907 (X) 4,293 8,231 9,566 6,050 6,777 5,103 5,255 5,940 6,360 5,037 5,900 5,378 7,021 5,950 5,564 3,980 7,031 3,915 5,475 7,834 3,316 8,326 5,586 6,663 6,699 4,345 4,680 4,872 4,772 5,355 6,180 5,053 4,408 5,053 5,282 5,048 2,575 4,571 5,509 4,135 5,941 11,358



Net tuition4 (mil. dol.) 30,646.0 781.7 61.5 572.9 277.9 2,447.8 749.9 393.2 248.7 (X) 995.4 300.3 83.5 85.2 487.2 1,089.8 554.7 366.4 401.7 357.4 169.3 954.6 552.8 2,159.0 756.1 322.7 586.8 138.6 239.8 126.7 128.7 899.9 88.4 1,758.0 695.7 106.6 1,733.3 289.6 628.8 1,973.6 178.0 344.5 128.2 684.6 1,844.2 277.7 168.9 1,011.1 388.9 229.3 780.3 46.3



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



X Not applicable.

1



Z Less than 500.



Data for 2000–2002 are for 4-year and 2-year degree-granting institutions that participated in Title IV federal financial programs. 2 Includes degree enrollment and enrollment in public postsecondary programs resulting in a certificate or other formal recognition. Includes summer sessions. Excludes medical enrollments. 3 State and local appropriations for public postsecondary education. Includes state-funded financial aid to students attending in-state public institutions. Excludes sums for research, agriculture experiment stations and cooperative extensions, and teaching hospitals and medical schools. 4 Excludes discounts, waivers, and state-appropriated aid to students attending in-state public institutions. Excludes medical student tuition. 5 U.S. totals for fall enrollment include U.S. military service schools not distributed by state. Survey, Census, or Data Collection Method: Fall enrollment—Based on Integrated Postsecondary Education Data System (IPEDS), ‘‘Fall Enrollment’’ surveys; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Appropriations—For information, see Internet site . Sources: right). Fall enrollment—U.S. National Center for Education Statistics, Digest of Education Statistics, annual; Appropriations—State Higher Education Executive Officers, Denver, CO (copy-



30



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-24. States — Degree-Granting Institutions and Educational Services

Degree-granting institutions Full-time faculty on 9/10-month contracts, 2002–2003 Average salary (dol.) Bachelor’s Professors 83,466 71,756 69,244 84,159 64,275 95,997 Educational services (NAICS 61) Annual payroll (mil. dol.)



Degrees conferred, 2001–2002 Geographic area



Establishments



Number of employees



Total United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Public



Private



Total



Total 61,330 51,449 53,957 63,106 46,690 73,010



2002 73,701 779 191 1,465 472 9,577 1,657 1,107 238 461 4,340 1,936 479 305 2,980 1,253 647 666 815 975 443 1,733 2,305 1,977 1,468 583 1,335 265 489 429 531 2,767 511 5,636 1,844 146 2,662 684 1,109 2,932 344 884 169 1,030 4,457 644 334 2,029 1,916 262 1,310 130



2001 70,878 758 217 1,351 481 9,367 1,571 1,048 227 445 4,152 1,802 444 262 2,935 1,186 616 625 793 966 419 1,674 2,239 1,942 1,394 566 1,292 263 463 400 499 2,667 485 5,355 1,712 149 2,578 661 1,036 2,851 326 821 162 984 4,293 589 318 1,986 1,856 255 1,273 124



2000 68,014 737 211 1,231 470 8,976 1,528 992 194 437 3,898 1,691 432 255 2,832 1,139 604 604 773 944 389 1,550 2,204 1,905 1,322 509 1,271 250 448 361 480 2,558 464 5,282 1,610 144 2,478 658 992 2,700 298 771 155 945 4,159 561 307 1,869 1,824 250 1,237 115



2002



2001



2000



2002 71,962 410 61 804 192 8,336 715 1,799 163 1,535 2,671 1,983 400 132 3,577 1,041 575 354 480 803 315 1,921 5,320 1,337 1,115 256 1,612 90 417 112 635 2,420 207 9,333 1,948 79 2,184 351 829 5,595 596 446 146 1,241 3,234 537 273 1,341 841 127 1,045 31



2001 67,098 395 59 672 182 7,717 690 1,686 152 1,259 2,507 1,686 355 117 3,353 968 546 321 462 778 289 1,815 5,011 1,232 1,031 244 1,569 82 328 103 543 2,285 196 8,855 1,790 70 2,095 334 753 5,420 551 415 136 1,136 2,950 500 266 1,267 820 117 960 29



2000 61,923 363 52 564 170 7,110 635 1,594 138 1,261 2,267 1,532 323 108 3,220 895 497 300 423 710 258 1,547 4,543 1,175 956 229 1,518 76 301 144 488 2,074 184 8,342 1,747 64 1,871 312 686 4,977 498 379 119 904 2,777 437 249 1,148 753 111 873 25



2,494,009 1,590,282 903,727 1,291,900 425,370 38,118 2,734 47,792 17,416 276,647 41,423 28,317 8,097 19,789 131,097 54,600 10,014 10,960 118,919 57,560 35,364 28,168 30,006 33,584 9,310 44,758 89,431 92,703 47,319 23,762 60,317 7,989 19,184 8,641 12,839 53,869 13,371 213,498 63,132 7,842 95,915 30,171 27,311 122,771 14,972 29,399 7,400 41,752 144,512 31,757 7,886 59,272 53,898 14,746 48,977 4,700 31,656 2,508 30,737 14,467 190,638 29,761 13,239 5,647 466 89,450 36,314 6,062 7,319 65,172 38,014 22,140 22,483 21,980 25,487 5,690 32,021 28,696 67,873 29,068 20,040 29,001 7,080 12,798 7,387 5,987 38,210 11,140 94,602 45,503 6,558 61,782 23,922 19,700 55,843 5,141 22,639 5,573 26,569 110,332 20,998 3,548 44,452 42,073 11,747 36,932 3,837 6,462 226 17,055 2,949 86,009 11,662 15,078 2,450 19,323 41,647 18,286 3,952 3,641 53,747 19,546 13,224 5,685 8,026 8,097 3,620 12,737 60,735 24,830 18,251 3,722 31,316 909 6,386 1,254 6,852 15,659 2,231 118,896 17,629 1,284 34,133 6,249 7,611 66,928 9,831 6,760 1,827 15,183 34,180 10,759 4,338 14,820 11,825 2,999 12,045 863 20,314 1,377 22,014 10,078 131,152 23,216 14,809 4,936 8,591 56,351 29,999 4,901 4,913 57,430 33,947 19,388 14,787 16,401 20,312 5,793 23,316 43,097 47,929 24,706 11,899 32,082 5,277 10,639 4,489 7,249 28,376 6,432 99,488 36,071 4,810 52,748 16,232 14,450 68,999 8,845 16,886 4,365 23,480 79,595 18,188 4,673 32,948 24,462 9,022 28,783 1,655 6,668 868 5,984 3,897 43,069 6,363 5,892 1,532 3,590 14,068 10,235 1,929 1,983 19,396 10,232 5,773 5,043 6,094 6,749 2,187 7,296 15,573 13,792 9,039 4,638 8,416 1,701 3,093 1,776 2,216 9,167 2,512 33,661 15,580 1,621 17,404 5,051 5,155 22,270 2,633 6,457 1,489 8,369 26,687 3,923 1,552 10,621 8,252 2,662 10,206 1,006



2,701,675 2,612,430 2,532,324 19,735 2,568 30,549 11,519 289,079 28,991 54,033 6,356 43,813 106,611 71,580 15,776 7,398 123,813 50,176 32,193 18,182 26,756 33,346 13,378 61,224 170,326 61,891 52,784 16,007 62,412 5,219 17,826 4,590 24,303 84,346 9,922 310,310 71,105 4,953 98,623 18,088 37,493 201,321 19,932 23,645 7,628 44,363 121,094 25,989 13,030 52,916 39,964 7,912 45,069 1,538 21,126 2,663 27,103 11,419 278,019 29,933 51,644 6,249 40,175 101,100 65,033 13,870 6,928 123,072 47,125 32,458 16,561 25,850 33,067 13,070 57,922 168,115 58,138 51,210 15,057 59,231 4,927 14,566 4,269 23,227 80,113 9,135 303,908 67,646 4,720 95,773 17,954 33,742 203,762 19,007 22,801 7,407 44,624 111,361 25,195 12,676 54,063 40,717 8,885 44,326 1,488 20,055 2,641 24,486 11,060 262,446 28,168 54,598 5,773 40,127 95,333 63,775 13,182 6,649 121,108 46,778 31,700 16,417 25,261 32,419 12,683 54,213 165,177 55,905 48,247 14,703 58,398 4,937 15,638 4,026 22,294 77,012 9,581 294,954 63,762 4,631 93,525 17,013 32,136 196,127 18,564 21,416 7,047 43,296 113,150 24,345 12,292 51,549 39,140 9,389 43,883 1,315



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



58,952 80,197 73,968 97,218 69,519 100,724 73,300 98,763 57,364 74,114 58,028 60,383 49,423 62,824 58,843 55,593 51,397 51,849 52,155 54,815 63,162 75,337 64,458 58,628 46,453 54,978 49,168 54,206 64,394 61,496 70,373 49,858 68,793 53,542 44,594 59,451 49,733 53,686 66,268 68,779 51,365 46,180 53,408 56,545 58,199 53,220 59,380 55,831 49,414 60,843 52,694 79,660 77,416 62,625 86,537 80,420 76,004 69,867 67,836 74,178 73,255 83,105 96,053 83,235 79,795 62,582 75,475 63,686 75,545 76,914 74,718 96,319 66,537 91,832 84,810 58,953 79,093 66,149 70,786 89,443 86,216 72,655 62,889 72,249 79,381 76,802 69,456 78,208 76,769 62,502 77,250 74,146



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



Survey, Census, or Data Collection Method: Degrees conferred—Based on the Fall 2003 Integrated Postsecondary Education Data System (IPEDS); for information, see Appendix B, Limitations of the Data and Methodology; Faculty—Based on the Winter 2002–2003 Integrated Postsecondary Education Data System (IPEDS); Educational services—Based on tabulations of data extracted from the U.S. Census Bureau’s Business Register, see Internet site . Sources: Degrees conferred—U.S. National Center for Education Statistics, Digest of Education Statistics 2003, NCES 2005-025, December 2004; Faculty—U.S. National Center for Education Statistics, Staff in Postsecondary Institutions, Fall 2002, and Salaries of Full-Time Instructional Faculty, 2002–03, 2005-167, November 2004; Educational services—U.S. Census Bureau, County Business Patterns, annual; see Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



31



Table A-25. States — Crimes and Crime Rates

Violent Geographic area 2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,381,259 19,331 3,850 28,638 12,431 205,551 15,706 10,736 5,379 9,060 124,280 39,422 3,400 3,316 70,456 21,856 8,020 10,771 10,777 29,062 1,422 38,778 30,196 51,524 13,288 9,380 26,968 3,351 5,026 13,765 1,916 31,599 12,470 89,265 38,246 493 38,103 17,758 10,520 49,216 3,074 32,908 1,325 40,177 122,201 5,845 682 20,375 21,276 4,661 12,095 1,314 2002 1,423,677 19,931 3,627 30,171 11,501 208,388 15,882 10,807 4,836 9,322 128,721 39,271 3,262 3,419 75,759 22,001 8,388 10,229 11,101 29,690 1,396 42,015 31,137 54,306 13,428 9,858 30,557 3,197 5,428 13,856 2,056 32,252 13,719 95,030 39,118 496 40,128 17,587 10,298 49,578 3,051 33,761 1,350 41,562 126,018 5,488 658 21,256 20,964 4,221 12,238 1,364 2000 1,425,486 21,620 3,554 27,281 11,904 210,531 14,367 11,058 5,363 8,626 129,777 41,319 2,954 3,267 81,196 21,230 7,796 10,470 11,903 30,440 1,397 41,663 30,230 55,159 13,813 10,267 27,419 2,807 5,606 10,474 2,167 32,298 13,786 105,111 40,051 523 37,935 17,177 12,000 51,584 3,121 33,225 1,259 40,233 113,653 5,711 691 19,943 21,788 5,723 12,700 1,316 1990 1,820,127 28,630 2,885 23,911 12,511 311,051 17,328 18,201 4,365 14,919 160,990 48,996 3,113 2,776 110,575 26,275 8,321 11,093 14,386 37,914 1,759 43,940 44,300 73,468 13,392 8,758 36,602 1,273 5,209 7,222 1,459 50,057 11,821 212,458 41,332 472 54,904 17,222 14,405 51,213 4,334 34,050 1,133 32,698 129,343 4,892 716 21,694 24,410 3,036 12,948 1,367 2003 10,435,523 182,241 24,280 314,335 98,710 1,215,086 179,340 90,801 27,667 32,678 757,696 369,501 65,867 39,742 415,593 208,034 87,178 108,777 110,418 195,569 32,078 209,418 164,018 330,356 157,691 107,195 229,004 28,428 64,552 96,109 26,448 219,799 77,301 431,448 359,660 13,286 416,317 151,208 170,230 300,641 32,231 185,671 15,299 255,833 1,016,422 99,362 13,621 199,731 291,544 42,714 157,747 16,648 2002 10,455,277 180,400 24,118 318,296 101,171 1,176,484 180,054 93,426 26,967 36,477 777,236 346,559 71,976 39,128 430,479 208,965 92,877 100,768 108,590 198,838 32,985 217,105 167,753 335,060 164,026 109,584 230,520 28,751 68,178 83,896 26,250 227,715 80,477 442,091 353,708 14,762 428,976 148,128 161,145 300,868 35,342 183,808 15,992 249,399 1,004,274 97,641 14,942 207,783 288,967 41,099 164,749 16,494 2000 10,182,584 180,539 23,087 271,811 98,115 1,056,183 156,937 99,033 29,727 33,000 780,377 347,630 60,033 37,961 445,278 206,905 86,834 108,057 107,723 211,904 32,003 213,422 161,901 353,297 157,798 103,644 225,919 32,198 64,479 74,823 27,901 233,637 86,605 483,078 355,921 14,171 420,939 140,125 153,780 316,274 33,323 181,290 16,252 237,985 919,658 94,247 17,494 194,405 279,144 41,344 159,424 14,969 1990 12,655,486 169,974 25,457 265,229 101,897 1,654,186 182,106 158,867 31,344 50,470 978,944 389,165 64,563 38,069 567,841 233,376 105,550 117,571 107,208 235,822 43,647 234,842 274,442 483,764 185,185 90,803 225,422 34,702 61,290 65,652 38,976 371,023 89,448 932,416 322,306 18,196 470,469 158,889 146,073 361,805 49,378 176,729 19,116 213,648 1,200,151 92,620 23,713 253,063 278,440 41,855 202,052 17,732 Property



Colorado . . . . . . . . Connecticut . . . . . . Delaware3 . . . . . . . District of Columbia4 . Florida . . . . . . . . . . Georgia Hawaii . Idaho. . Illinois5. Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas5 . . Kentucky5. Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana5 . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



32



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-25. States — Crimes and Crime Rates—Con.

Offenses by type per 100,000 population,1 2003 Geographic area Total United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 475.0 429.5 593.4 513.2 456.1 579.3 345.1 308.2 658.0 1,608.1 730.2 453.9 270.4 242.7 556.8 352.8 272.4 395.5 261.7 646.3 108.9 703.9 469.4 511.2 262.6 325.5 472.8 365.2 289.0 614.2 148.8 365.8 665.2 465.2 454.9 77.8 333.2 505.7 295.5 398.0 285.6 793.5 173.4 687.8 552.5 248.6 110.2 275.8 347.0 257.5 221.0 262.1 Murder2 5.7 6.6 6.0 7.9 6.4 6.8 3.9 3.0 2.9 44.2 5.4 7.6 1.7 1.8 7.1 5.5 1.6 4.5 4.6 13.0 1.2 9.5 2.2 6.1 2.5 9.3 5.0 3.3 3.2 8.8 1.4 4.7 6.0 4.9 6.1 1.9 4.6 5.9 1.9 5.3 2.3 7.2 1.3 6.8 6.4 2.5 2.3 5.6 3.0 3.5 3.3 2.8 Violent crimes Aggravated assault 295.0 251.9 426.5 335.5 334.8 364.6 217.6 167.5 442.0 815.8 500.1 258.8 146.5 185.8 328.6 216.2 206.8 270.2 153.9 435.0 58.4 428.3 315.1 339.3 141.8 174.1 334.5 302.6 190.5 336.1 77.1 191.0 505.2 254.3 278.0 44.0 140.8 365.3 179.3 218.6 159.3 605.1 112.1 484.9 342.5 154.8 78.7 155.9 204.0 197.3 115.7 215.5 Property crimes Motor vehicle theft 433.4 332.3 377.3 1,021.3 220.5 680.1 498.8 316.5 352.3 1,757.8 479.2 499.4 767.4 190.9 330.1 335.2 190.2 285.6 227.5 442.2 111.5 660.8 396.5 533.1 272.0 310.6 502.4 207.7 352.1 929.8 148.9 400.2 387.1 235.6 319.9 170.1 358.5 369.0 533.5 270.4 407.7 380.1 114.4 452.1 444.0 330.2 104.3 242.5 662.5 194.7 225.1 159.2



Forcible rape 32.1 36.8 92.5 33.3 33.1 28.2 41.6 18.7 43.2 48.6 39.5 25.7 29.2 37.2 32.9 27.8 25.9 38.3 25.6 41.1 27.1 24.7 27.9 54.1 41.2 37.4 24.4 26.8 28.5 39.0 33.2 15.3 50.0 19.7 25.4 23.8 40.1 42.7 34.2 28.8 46.9 44.4 46.3 35.7 36.2 37.9 19.5 24.0 46.7 16.4 21.9 27.1



Robbery 142.2 134.2 68.4 136.5 81.7 179.7 82.1 119.0 169.9 699.5 185.2 161.8 92.9 17.9 188.2 103.3 38.1 82.5 77.6 157.2 22.1 241.5 124.1 111.7 77.2 104.8 108.7 32.5 66.8 230.3 37.1 154.7 104.0 186.3 145.5 8.0 147.7 91.8 80.1 145.4 77.1 136.7 13.6 160.4 167.4 53.4 9.7 90.3 93.3 40.3 80.1 16.8



Total 3,588.4 4,049.1 3,742.2 5,632.4 3,621.4 3,424.3 3,940.9 2,606.7 3,384.4 5,800.3 4,452.0 4,254.6 5,237.5 2,908.7 3,284.4 3,357.7 2,961.1 3,994.0 2,681.5 4,349.5 2,456.7 3,801.4 2,549.5 3,277.3 3,116.8 3,720.4 4,014.5 3,098.0 3,711.4 4,288.4 2,053.9 2,544.4 4,123.6 2,248.3 4,278.0 2,096.1 3,640.5 4,306.0 4,782.3 2,431.3 2,995.0 4,477.1 2,001.7 4,379.4 4,595.3 4,225.5 2,200.1 2,704.1 4,754.9 2,359.4 2,882.6 3,321.3



Burglary 740.5 960.8 594.2 1,050.3 913.6 682.8 711.3 448.1 729.8 829.1 1,002.7 909.2 907.2 570.2 618.7 671.1 596.0 803.6 671.6 998.1 503.9 701.4 539.7 677.2 547.4 1,035.6 717.1 405.6 579.1 980.6 353.5 503.0 1,025.2 393.4 1,197.6 306.2 830.1 992.3 804.2 436.0 513.3 1,050.9 375.9 1,082.0 993.7 713.1 477.8 391.5 950.3 562.2 485.4 520.9



Larceny/theft 2,414.5 2,756.0 2,770.7 3,560.9 2,487.3 2,061.4 2,730.8 1,842.1 2,302.3 3,213.4 2,970.1 2,846.0 3,562.9 2,147.5 2,335.6 2,351.4 2,174.9 2,904.8 1,782.4 2,909.3 1,841.3 2,439.2 1,613.3 2,067.1 2,297.4 2,374.2 2,794.9 2,484.7 2,780.2 2,378.0 1,551.5 1,641.3 2,711.3 1,619.3 2,760.5 1,619.8 2,451.9 2,944.7 3,444.6 1,724.8 2,074.0 3,046.1 1,511.4 2,845.3 3,157.7 3,182.2 1,618.0 2,070.0 3,142.1 1,602.6 2,172.1 2,641.2



Colorado . . . . . . . . Connecticut . . . . . . Delaware3 . . . . . . . District of Columbia4 . Florida . . . . . . . . . . Georgia Hawaii . Idaho. . Illinois5. Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas5 . . Kentucky5. Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana5 . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1 2 3



. . . . . .



Based on resident population estimated as of July 1 for 2003. Includes nonnegligent manslaughter. Forcible rape figures furnished by the state-level uniform crime reporting (UCR) program administered by the Delaware State Bureau of Investigation were not in accordance with the national UCR guidelines; therefore, it was necessary that the forcible rape count be estimated for 2000. 4 Includes offenses reported by the police at the National Zoo for 2000 through 2003 and by Metro Transit Police for 2002 and 2003. 5 Complete data were not available; therefore, it was necessary for the crime counts to be estimated for Illinois and Kentucky for 2000 through 2003 and for Kansas and Montana for 2000. Survey, Census, or Data Collection Method: Source: Based on the Uniform Crime Reporting Program; for information, see Appendix B, Limitations of the Data and Methodology.



U.S. Federal Bureau of Investigation, Crime in the United States, annual. See also (released 27 October 2003).



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



33



Table A-26. States — Juvenile Arrests, Child Abuse Cases, and Prisoners

Juvenile arrest rate,1 2003 Child abuse and neglect cases reported and investigated, 2003 Prisoners under jurisdiction of federal and state authorities (Dec. 31) 2003 Number of victims4

6



Prisoners executed



Prisoners under death sentence



Geographic area Property crime 1,442 764 2,202 1,774 1,282 1,180 2,051 1,347 1,583 (NA) 2,128 1,411 1,387 2,158 2,074 1,219 2,099 1,055 1,435 1,842 1,866 1,950 512 947 1,860 1,497 1,728 2,175 1,820 (NA) 674 934 1,367 1,218 1,582 1,866 1,222 1,591 1,721 1,222 1,372 214 1,743 1,064 1,282 2,511 559 844 2,088 382 2,813 1,885 Number of reports2

6



Violent crime United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291 126 243 223 130 364 231 290 595 (NA) 524 266 197 160 944 317 251 131 229 355 78 505 269 166 176 136 295 202 96 (NA) 71 386 220 264 310 45 150 217 149 402 288 47 108 223 185 216 81 106 246 40 184 88



Drug abuse 594 236 487 820 328 523 777 479 769 (NA) 765 536 424 482 2,457 438 408 455 588 570 562 1,235 337 325 579 526 680 295 581 (NA) 452 688 749 569 522 322 443 469 520 559 579 183 773 472 590 568 322 377 530 157 842 769



Weapons 116 31 85 72 64 181 168 90 147 (NA) 109 153 36 122 383 28 45 25 56 61 26 224 28 53 102 70 87 32 83 (NA) 9 214 174 70 179 33 70 81 53 123 160 73 82 100 64 183 11 88 113 7 176 80



Number of children subject of investigation3

6



Number

7



Rate5 506 650 698 559 480 464 433 569 830 (NA) 468 544 467 431 343 372 290 335 404 802 154 432 159 490 155 804 530 394 233 470 189 315 331 339 399 196 391 651 357 331 328 572 396 435 755 245 314 476 263 263 413 373

7



2000 1,391,261 26,332 9 4,173 11 26,510 11,915 163,001 16,833 18,355 9 6,921 9 7,456 11 71,319

9 11



2004 59 2 (10) – 1 – – – – (10) 2 2 (10) – – – (10) – – – (10) 1 (10) (10) (10) – – – – 2 – – – – 4 (10) 7 6 – – (10) 4 – – 23 – (10) 5 – (10) (10) –



1977 to 2004 944 30 (10) 22 26 10 1 – 13 (10) 59 36 (10) 1 12 11 (10) – 2 27 (10) 4 (10) (10) (10) 6 61 2 3 11 – – 1 – 34 (10) 15 75 2 3 (10) 32 – 1 336 6 (10) 94 4 (10) (10) 1

8



2003 3,374 192 (10) 123 40 629 3 7 16 (10) 364 111 (10) 19 2 35 (10) 6 35 87 (10) 11 (10) (10) (10) 66 52 5 7 84 – 14 2 5 195 (10) 209 102 28 230 (10) 71 4 96 453 10 (10) 27 10 (10) (10) 1

8



2002 3,562 191 (10) 117 42 613 5 7 14 (10) 366 115 (10) 20 159 37 (10) 5 36 90 (10) 15 (10) (10) (10) 65 66 6 7 82 – 14 2 5 206 (10) 207 112 27 240 (10) 72 5 96 449 11 (10) 23 10 (10) (10) 2

8



2001 3,577 186 (10) 124 40 605 6 7 14 (10) 373 116 (10) 20 159 34 (10) 4 36 85 (10) 15 (10) (10) (10) 64 72 6 7 86 – 16 3 6 215 (10) 204 114 26 241 (10) 73 5 95 453 11 (10) 26 9 (10) (10) 2

8



2000 3,601 185 (10) 119 40 587 6 7 15 (10) 371 122 (10) 21 164 41 (10) 4 39 89 (10) 16 (10) (10) (10) 61 78 6 11 88 – 16 5 6 215 (10) 201 132 25 240 (10) 66 3 98 450 11 (10) 30 11 (10) (10) 2



1,576,390 18,015 10,575 33,649 19,747 (NA) 29,362 32,802 5,469 4,673 157,474 71,501 3,894 6,264 59,280 34,388 24,172 15,840 45,348 25,480 5,152 (NA) 39,692 74,675 17,587 15,998 55,580 9,023 7,160 13,641 6,878 42,762 15,278 149,847 60,466 3,899 68,399 36,641 20,552 23,601 7,012 18,449 5,534 (NA) 133,827 20,113 2,936 15,975 30,222 19,604 55,573 2,381



2,856,284 29,679 10,575 76,269 44,666 (NA) 43,217 50,115 12,497 11,000 351,499 121,269 8,230 9,458 134,919 52,195 36,544 24,250 69,201 41,726 9,425 (NA) 83,270 195,583 25,878 24,503 84,383 14,966 14,767 28,148 9,697 77,915 25,259 253,866 120,194 5,900 108,816 63,935 32,694 23,601 10,362 39,396 9,925 46,522 215,602 31,679 3,632 31,915 47,713 43,523 41,377 4,529



787,156 9,290 7,996 4,838 7,232 (NA)



1,470,045 29,253 9 4,527 11 31,170 13,084 164,487 19,671 19,846 9 6,794 (12) 11 79,594

9 11



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



8,137 12,256 1,236 2,518 138,499 43,923 4,046 1,527 28,344 21,205 13,303 5,682 18,178 11,432 4,719 16,688 36,558 28,690 9,230 5,940 10,183 1,951 3,875 4,578 1,043 8,123 6,238 75,784 32,847 1,494 47,444 12,529 10,368 4,571 3,290 11,143 4,346 9,421 50,522 12,366 1,233 6,485 6,020 8,875 10,174 786



47,208 9 5,828 5,887 43,418 23,069 8,546 9,132 16,622 36,047 2,013



44,232 9 5,053 5,535 45,281 20,125 7,955 8,344 14,919 35,207 1,679



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



11



11



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



23,791 10,232 49,358 7,865 23,182 30,303 3,620 4,040 10,543 2,434 27,246 6,223 65,198 33,560 1,239 44,778 22,821 12,715 40,890 9 3,527 23,719 3,026 25,403 166,911 5,763

9 1,944 35,067 16,148 4,758 22,614 1,872



23,538 10,722 47,718 6,238 20,241 27,543 3,105 3,895 10,063 2,257 29,784 5,342 70,199 31,266 1,076 45,833 23,181 10,580 36,847 9 3,286 21,778 2,616 22,166 166,719 5,637

9 1,697 30,168 14,915 3,856 20,754 1,680



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



– Represents zero.

1



NA Not available.



Arrest rate is defined as the number of arrests of persons under age 18 for every 100,000 persons ages 10–17. 2 The number of investigations includes assessments. The number of investigations is based on the total number of investigations that received a disposition in 2001. 3 The number of children subject of an investigation of assessment is based on the total number of children for whom an alleged maltreatment was substantiated, indicated, or assessed to have occurred or the child was at risk of occurrence. 4 Victims are defined as children subject of a substantiated, indicated, or alternative response-victim maltreatment. 5 Per 100,000 resident population estimated as of July 1. 6 Includes estimates for states that did not report. 7 State-level data excludes federal inmates. 8 Includes federal cases not distributed by state. Excludes persons held under Armed Forces jurisdiction with a military death sentence for murder. 9 Includes both jail and prison inmates. (State has combined jail and prison system.) 10 State did not have death penalty as of December 31 of year shown. 11 Numbers are for custody rather than jurisdiction counts. 12 The transfer of responsibility for sentenced felons from the District of Columbia to the federal systems was completed by year end 2001. Survey, Census, or Data Collection Method: Juvenile arrests—Based on analysis of arrest data from FBI reports and population data from the U.S. Census Bureau; for information, see the following report at ; Child abuse and neglect—Based on the National Child Abuse and Neglect Data System (NCANDS); for information, see Internet site ; Prisoners under jurisdiction and capital punishment—Based on the National Prisoner Statistics (NPS) system; for information, see Internet site . Sources: Juvenile arrests—Office of Justice Programs, Juvenile Arrests 2003, see Internet site ; Child abuse and neglect—U.S. Department of Health and Human Services, Administration on Children, Youth and Families. Child Maltreatment 2003 (Washington, DC: U.S. Government Printing Office, 2003); Prisoners under jurisdiction—U.S. Bureau of Justice Statistics, Prisoners in 2003, and earlier issues, see Internet site ; Capital punishment—U.S. Bureau of Justice Statistics, Capital Punishment, annual, see Internet site .



34



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-27. States — State and Local Justice System and State Prisons

Full-time equivalent employment (March) 2002 Geographic area Percent of total state and local 12.7 9.6 9.5 15.8 11.1 13.1 12.0 12.5 15.2 14.4 16.7 13.2 12.7 10.9 13.8 10.8 8.3 10.2 9.8 13.4 8.3 13.8 13.1 12.3 9.2 9.3 12.8 9.4 8.8 16.8 10.1 15.3 12.4 15.0 11.5 7.7 12.9 10.6 12.3 13.8 12.2 11.7 8.9 11.9 12.4 10.6 7.3 11.9 11.0 7.0 11.9 9.6 Total justice system 69.5 57.4 75.1 75.4 61.7 66.5 64.1 65.6 88.1 222.4 78.8 73.3 71.9 62.7 71.5 57.4 50.1 66.9 55.1 83.5 47.0 72.4 67.6 63.5 51.7 59.5 70.4 54.1 57.8 72.0 52.4 86.4 79.4 95.3 65.6 47.9 69.9 62.5 64.0 63.2 60.1 68.4 50.0 63.0 71.5 56.5 45.2 67.3 57.9 36.0 63.4 79.4 Percent of state and local 7.4 5.2 6.1 9.7 6.6 9.0 7.3 6.9 9.1 7.9 9.5 7.7 6.7 7.8 7.1 5.8 5.6 6.4 5.9 7.6 4.7 8.7 6.5 7.5 5.4 5.4 6.7 6.6 5.1 10.6 6.0 8.0 7.7 7.1 6.2 4.5 7.0 6.5 7.2 7.0 6.3 5.4 5.7 5.7 7.5 6.8 5.1 7.7 5.6 4.3 7.4 6.6 Per 10,000 population, 2002 Expenditures1 2002



Number United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,994,120 25,712 4,815 41,002 16,697 232,735 28,833 22,685 7,100 6,348 131,541 62,641 8,922 8,423 89,990 35,364 14,718 18,145 22,543 37,385 6,083 39,436 43,394 63,749 25,982 17,044 39,930 4,925 9,993 15,597 6,671 74,083 14,703 182,248 54,456 3,038 79,699 21,819 22,530 77,954 6,420 28,065 3,804 36,453 155,437 13,095 2,784 49,031 35,146 6,500 34,490 3,962



2000 1,940,571 25,298 4,693 39,345 15,172 226,448 26,869 23,986 6,353 7,235 127,600 60,195 8,701 7,365 86,731 33,189 14,919 18,906 22,371 36,601 5,724 37,870 44,731 61,472 24,272 17,786 38,350 4,841 9,309 14,702 7,146 69,960 14,096 177,474 52,656 3,019 80,094 22,213 21,554 74,925 6,426 28,447 3,813 34,375 150,718 12,318 2,934 48,070 34,250 7,519 34,031 3,499



Police protection 31.0 29.2 25.9 31.6 28.3 28.6 28.3 29.9 30.9 151.2 35.5 28.4 29.4 28.1 35.7 25.9 24.5 31.7 23.5 35.9 24.9 31.7 37.2 26.4 22.4 30.6 31.9 25.0 27.1 31.0 27.4 41.2 31.1 46.4 28.2 22.4 29.5 30.5 25.2 25.7 31.8 32.6 22.9 30.3 27.9 23.8 19.1 26.6 23.3 20.0 29.7 36.5



Judicial and legal 14.1 11.4 20.5 17.1 11.0 15.7 13.3 12.6 19.7 15.9 18.4 12.8 22.6 12.5 14.4 10.1 10.7 13.1 14.8 17.2 7.3 13.5 14.5 12.4 12.1 8.9 13.0 12.0 10.6 14.6 9.2 25.2 18.0 16.6 8.0 12.3 17.8 11.7 13.6 14.3 11.8 9.6 10.2 10.6 11.1 11.6 10.2 10.1 12.8 11.8 10.7 14.9



Corrections 24.4 16.9 28.6 26.7 22.5 22.1 22.5 23.1 37.5 55.2 24.9 32.1 19.9 22.2 21.4 21.4 15.0 22.2 16.9 30.5 14.9 27.2 15.8 24.6 17.2 20.0 25.5 17.1 20.2 26.3 15.8 20.0 30.3 32.3 29.4 13.3 22.5 20.4 25.2 23.2 16.6 26.2 16.9 22.1 32.6 21.1 15.8 30.5 21.8 4.2 23.0 28.0



Total ($1,000) 150,414,874 1,487,133 570,594 3,035,958 967,933 26,208,117 2,313,314 1,902,173 542,389 617,112 9,403,902 4,002,823 625,776 593,029 6,212,482 2,120,127 1,076,379 1,074,566 1,458,516 2,107,569 406,412 3,112,413 3,308,516 5,183,326 2,189,440 941,720 2,207,140 368,512 636,613 1,474,713 423,984 5,108,651 972,289 14,115,834 3,229,175 187,061 5,590,723 1,356,546 1,999,667 6,042,329 499,682 1,504,863 242,075 2,087,237 9,750,308 1,057,381 214,139 3,354,056 2,807,823 513,269 2,920,922 288,163



2000 ($1,000) 132,635,690 1,321,833 481,705 2,662,075 835,961 22,128,975 1,979,115 1,665,917 485,081 680,407 8,407,384 3,179,612 556,441 500,098 5,777,158 1,894,617 977,082 985,103 1,388,829 1,967,772 355,751 2,713,505 2,901,028 4,550,728 1,907,219 850,076 1,916,548 326,155 562,621 1,258,843 394,551 4,659,648 864,578 12,371,653 3,010,205 164,036 5,220,319 1,222,839 1,799,118 5,510,353 455,578 1,391,012 208,732 1,943,166 8,314,329 934,625 183,612 2,934,733 2,530,340 462,998 2,594,282 247,344



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



35



Table A-27. States — State and Local Justice System and State Prisons—Con.

Expenditures1 Per capita, 2002 (dol.) Total justice system United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 524 332 889 558 358 749 514 550 673 2,162 563 468 504 442 494 344 367 396 357 471 314 571 515 516 436 329 389 405 369 680 333 596 525 738 389 295 490 389 568 490 468 367 318 361 449 456 347 460 463 284 537 578 State prison expenditures, fiscal year 20012 (dol.) Expenditures (1,000) Annual operating costs



Geographic area



Police protection 225 159 412 231 149 290 238 226 237 1,348 263 182 205 179 256 145 156 176 133 199 140 245 224 197 203 161 180 187 155 300 166 282 221 351 181 122 212 163 219 199 224 176 139 169 171 190 149 180 180 104 234 243



Judicial and legal 109 71 204 120 72 201 86 140 132 205 99 80 172 92 88 62 98 87 77 99 62 95 116 109 104 55 66 84 65 148 76 126 103 143 67 79 119 65 114 93 97 52 57 73 75 104 69 90 94 69 87 114



Corrections 191 103 273 206 137 257 190 184 304 609 202 207 127 171 149 137 112 133 147 173 112 231 175 210 129 113 144 134 149 232 90 187 201 244 141 94 159 161 235 199 147 139 123 119 202 162 129 191 189 112 216 220



Total 29,491,268 228,871 3 154,650 618,571 199,003 4,166,573

3 523,960 3



Operating 28,374,273 221,774 3 154,156 609,910 192,611 4,107,844

3 506,905 3



Capital 1,116,995 7,097 3 494 8,661 6,392 58,729

3



Per inmate 22,650 8,128 3 36,730 22,476 15,619 25,053

3 26,856 3



Per resident 100

3



50 243 115 72 119 98



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



466,551



435,037



166,327 143,700 1,484,799 923,505 117,101 95,494 1,011,311 477,628

3



162,397 143,700 1,453,799

3



31,514 17,055 3 3,930 (4) 31,000



25,408



22,802 26,670 20,190 19,860 21,637 16,319 21,844 21,841 22,997 21,381 17,818 12,951 44,379 26,398 37,718 32,525 36,836 12,795 12,867 21,898 25,321 17,572 25,949 27,347 28,035 36,835 26,984 22,425



3 148 3



204 251 89 107 3 96 70 80 73 64 68 67 103 58 118 63 157 48 93 64 79 58 86 48 91 81 134 103 38



900,918 117,101 92,821 996,738 449,406 186,298 182,655 274,404 459,686 75,133



22,586 (5) 2,673 14,573 28,222 2,093 17,189 14,034 19,573 1,346 12,872 8,209 9,338 13,432 1,693 73,652 825 26,992 1,258 2,475 30,899 828 259,807 23,545 2,577 76,354 6,682 4,819 19,551 3 3,165 31,989 499 (6) 44,940 281

3 1,261 24,663 28,500 750 110,212 7,768



3



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



188,391 199,843 288,438 479,260 76,479 645,620 413,071 1,582,611 253,385 266,196 436,081 71,994 126,857 182,092 62,754 799,560 149,077 2,807,259 863,892 26,796 1,277,622 384,060 404,255 1,203,219 3 124,333 405,238 37,529 421,807 2,315,899 133,963

3 46,128 723,767 488,314 61,944 709,292 56,199



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



632,749 404,862 1,573,273 239,953 264,503 362,429 71,169 99,865 180,834 60,279 768,661 148,249 2,547,452 840,347 24,219 1,201,269 377,378 399,436 1,183,668 3 121,167 373,249 37,030 421,807 2,270,959 133,683

3 44,867 699,104 459,814 61,194 599,080 48,431



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



26,295 16,309 36,060 31,900 3 38,503 16,762 13,853 18,206 13,808 24,574

3



106 109 115 96 3 114 92 49 73 106 59

3



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1 2



. . . . . .



25,178 22,942 30,168 14,817 28,622 28,845



73 97 77 34 111 98



For the fiscal year ending on September 30 of the year shown. Forty-six states and the District of Columbia began their fiscal years in July and ended them in June. Exceptions included Alabama and Michigan, October to September; New York, April to March; and Texas, September to August. May not add to total due to rounding. 3 States have integrated jail-prison systems. 4 Reported no capital outlays during FY 2001, a transition period during which its sentenced felons were being transferred to the Federal Bureau of Prisons. 5 State budget officials excluded nonrecurring expenditures from the category. 6 The state spent capital amounts from sources outside its Department of Corrections. Survey, Census, or Data Collection Method: . Source: Based on the U.S. Census Bureau’s Annual Government Finance Survey and Annual Survey of Public Employment; for information, see Internet site



U.S. Bureau of Justice Statistics, Justice Expenditure and Employment Extracts, 2002, and prior years; and State Prison Expenditures, 2001; see also .



36



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-28. States — Civilian Labor Force and Employment

Civilian noninstitutionalized population 16 years and over (1,000) Geographic area 2004 Total United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

1



Civilian labor force (1,000)



Total, 2004



Male 107,710 1,651 233 2,101 1,008 13,117 1,718 1,287 306 203 6,480 3,142 455 512 4,650 2,290 1,124 1,008 1,534 1,589 507 1,986 2,402 3,738 1,937 1,021 2,120 359 649 886 497 3,183 692 7,065 3,082 245 4,225 1,284 1,375 4,621 402 1,510 287 2,187 7,971 839 243 2,660 2,338 700 2,093 196



Female 115,647 1,833 232 2,166 1,094 13,650 1,750 1,413 337 240 7,041 3,392 491 527 4,991 2,435 1,183 1,061 1,660 1,788 547 2,237 2,634 4,010 2,006 1,147 2,303 370 682 874 521 3,483 744 7,841 3,357 252 4,603 1,387 1,425 5,082 445 1,683 299 2,378 8,417 858 256 2,945 2,440 752 2,187 199



2003 221,168 3,442 459 4,131 2,071 26,490 3,440 2,680 625 454 13,211 6,431 944 1,013 9,583 4,679 2,286 2,049 3,153 3,348 1,039 4,181 5,028 7,706 3,896 2,138 4,352 714 1,318 1,686 1,005 6,619 1,401 14,891 6,328 490 8,771 2,646 2,770 9,663 844 3,142 576 4,501 16,047 1,660 494 5,532 4,697 1,442 4,224 387



2000 212,577 3,381 437 3,845 2,027 25,132 3,259 2,597 598 457 12,484 6,090 902 951 9,352 4,599 2,237 2,003 3,086 3,292 997 3,997 4,934 7,522 3,736 2,100 4,239 688 1,285 1,520 951 6,442 1,344 14,551 6,108 487 8,628 2,582 2,643 9,494 814 3,028 562 4,359 15,200 1,581 475 5,304 4,466 1,431 4,092 374



1990 189,164 3,072 372 2,777 1,781 22,598 2,489 2,574 512 485 10,261 4,873 809 729 8,691 4,182 2,088 1,823 2,799 3,073 939 3,691 4,713 7,015 3,271 1,894 3,861 596 1,162 939 848 6,046 1,118 14,079 5,096 463 8,231 2,347 2,194 9,206 776 2,612 501 3,765 12,604 1,159 429 4,656 3,676 1,398 3,677 330



Number 147,401 2,179 331 2,778 1,308 17,551 2,525 1,790 426 299 8,411 4,399 612 706 6,386 3,160 1,620 1,480 1,977 2,058 696 2,883 3,399 5,114 2,941 1,335 3,017 486 990 1,175 724 4,388 911 9,370 4,243 359 5,884 1,714 1,850 6,260 562 2,077 431 2,894 10,989 1,206 353 3,766 3,240 795 3,071 282



Male 78,980 1,156 179 1,536 707 9,691 1,383 942 220 150 4,507 2,389 317 383 3,407 1,674 846 795 1,057 1,076 362 1,489 1,770 2,720 1,557 698 1,572 256 523 657 387 2,356 484 4,964 2,270 189 3,106 916 1,010 3,310 287 1,075 224 1,529 6,088 668 184 1,975 1,746 426 1,615 152



Female 68,421 1,023 152 1,242 601 7,860 1,142 848 206 149 3,904 2,010 295 323 2,979 1,486 774 685 920 982 334 1,394 1,629 2,394 1,384 637 1,445 230 467 518 337 2,032 427 4,406 1,973 170 2,778 798 840 2,950 275 1,002 207 1,365 4,901 538 169 1,791 1,494 369 1,456 130



223,357 3,484 465 4,266 2,102 26,768 3,468 2,700 643 443 13,521 6,534 946 1,039 9,641 4,725 2,307 2,069 3,194 3,377 1,055 4,223 5,036 7,748 3,943 2,169 4,424 730 1,331 1,759 1,018 6,666 1,436 14,906 6,439 497 8,828 2,671 2,800 9,702 848 3,193 586 4,564 16,388 1,697 499 5,605 4,777 1,452 4,280 395



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



37



Table A-28. States — Civilian Labor Force and Employment—Con.

Civilian labor force (1,000) Total 2004 2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

1



Geographic area



Employed



2000 142,583 2,161 319 2,507 1,256 16,870 2,359 1,739 417 309 7,859 4,233 608 662 6,472 3,143 1,605 1,409 1,953 2,028 674 2,802 3,367 5,157 2,823 1,318 2,950 468 952 1,064 695 4,287 851 9,180 4,114 347 5,805 1,659 1,815 6,086 543 1,965 409 2,864 10,365 1,134 335 3,573 3,051 809 2,992 267



1990 125,840 1,903 270 1,788 1,126 15,169 1,769 1,815 362 332 6,466 3,300 551 494 5,932 2,831 1,459 1,270 1,748 1,877 631 2,583 3,226 4,620 2,390 1,176 2,608 408 817 656 620 4,072 712 8,809 3,498 319 5,389 1,521 1,506 5,827 526 1,722 351 2,401 8,594 820 309 3,220 2,537 756 2,599 236



Number 139,252 2,053 306 2,637 1,231 16,466 2,389 1,702 409 275 8,021 4,194 591 669 5,997 2,993 1,545 1,398 1,874 1,934 664 2,762 3,226 4,758 2,800 1,252 2,844 462 953 1,125 698 4,178 860 8,823 4,016 347 5,514 1,630 1,710 5,911 532 1,935 416 2,747 10,332 1,142 340 3,619 3,037 753 2,917 271



Male 74,524 1,096 165 1,458 669 9,076 1,305 895 211 137 4,302 2,280 304 362 3,203 1,587 809 754 998 1,008 344 1,431 1,664 2,517 1,470 659 1,479 242 504 629 372 2,245 457 4,672 2,154 181 2,901 874 930 3,103 271 1,004 216 1,452 5,718 633 177 1,901 1,637 401 1,526 146



Female 64,728 957 141 1,179 562 7,390 1,084 807 198 138 3,719 1,914 287 307 2,794 1,406 736 644 876 926 320 1,331 1,562 2,241 1,330 593 1,365 220 449 496 326 1,933 403 4,151 1,862 166 2,613 756 780 2,808 261 931 200 1,295 4,614 509 163 1,718 1,400 352 1,391 125



2003 137,736 2,009 305 2,553 1,205 16,223 2,325 1,706 404 277 7,764 4,135 589 654 5,934 3,001 1,548 1,366 1,856 1,915 660 2,751 3,216 4,695 2,786 1,237 2,846 452 937 1,090 685 4,115 841 8,705 3,957 339 5,506 1,614 1,702 5,835 538 1,878 409 2,742 10,196 1,121 336 3,612 2,927 748 2,897 265



2000 136,891 2,073 299 2,406 1,203 16,034 2,297 1,698 403 292 7,559 4,084 583 631 6,181 3,051 1,561 1,356 1,871 1,927 651 2,703 3,277 4,967 2,733 1,244 2,854 446 926 1,016 677 4,129 809 8,764 3,959 337 5,571 1,608 1,721 5,832 521 1,896 398 2,750 9,913 1,096 327 3,491 2,899 765 2,891 257



1990 118,793 1,783 251 1,694 1,050 14,294 1,678 1,725 347 312 6,061 3,129 538 467 5,561 2,689 1,393 1,215 1,641 1,767 598 2,465 3,022 4,262 2,276 1,085 2,457 384 798 623 585 3,865 664 8,340 3,352 306 5,079 1,435 1,425 5,510 494 1,639 338 2,269 8,042 784 294 3,077 2,406 691 2,486 224



146,510 2,133 331 2,707 1,279 17,414 2,480 1,805 420 298 8,195 4,341 612 691 6,361 3,169 1,620 1,447 1,979 2,042 694 2,880 3,414 5,054 2,929 1,322 3,014 473 976 1,149 717 4,371 893 9,300 4,230 351 5,869 1,710 1,852 6,186 569 2,013 424 2,903 10,927 1,188 352 3,767 3,160 796 3,069 277



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1



. . . . . .



United States totals differ from the sum of the state figures because of different benchmarks among states.



Survey, Census, or Data Collection Method: Based on the Current Population Survey (CPS); for information, see Appendix B, Limitations of the Data and Methodology, and the following document at . Source: U.S. Bureau of Labor Statistics, Geographic Profile of Employment and Unemployment, 2004 Annual Averages; see Internet site (accessed 2 August 2005); data for prior years, Local Unemployment Statistics Program, see Internet site (accessed 7 September 2005).



38



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-29. States — Civilian Labor Force and Unemployment

Unemployment Employment/ population ratio, 20041 2004 Male United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

4



Geographic area



Total (1,000) 2004 Female 3,694 66 11 63 38 470 58 40 8 11 185 96 8 15 185 80 38 40 44 56 14 64 68 153 54 43 80 10 18 22 11 99 25 254 111 4 165 42 60 143 14 71 8 70 287 29 6 72 94 18 65 5 2003 8,774 124 26 154 75 1,190 155 99 17 21 431 206 24 37 427 168 72 81 123 128 35 128 198 358 143 85 168 21 39 59 32 256 53 595 273 13 363 95 151 351 31 135 15 161 731 67 16 155 233 48 172 12 2000 5,692 89 20 101 53 836 63 41 14 18 300 149 25 31 290 91 44 52 82 101 23 100 90 190 90 74 96 22 26 48 18 158 42 417 154 10 234 52 94 254 22 69 11 114 452 38 9 81 152 44 101 10 1990 7,047 121 19 94 76 874 91 90 15 20 405 171 13 27 371 142 66 55 107 110 33 118 204 358 114 90 151 25 19 33 35 208 48 469 145 13 310 86 81 317 32 84 13 132 552 36 15 143 131 65 113 13 Total 5.5 5.8 7.5 5.1 5.9 6.2 5.4 4.9 3.9 8.2 4.6 4.7 3.4 5.3 6.1 5.3 4.6 5.5 5.2 6.0 4.7 4.2 5.1 7.0 4.8 6.2 5.7 4.9 3.8 4.2 3.7 4.8 5.6 5.8 5.4 3.4 6.3 4.9 7.6 5.6 5.4 6.9 3.7 5.1 6.0 5.3 3.7 3.9 6.2 5.3 5.0 3.8 Male 5.6 5.3 7.9 5.0 5.5 6.3 5.7 5.1 3.9 9.0 4.5 4.6 4.1 5.8 6.0 5.2 4.4 5.2 5.6 6.3 5.1 3.9 5.9 7.5 5.5 5.6 5.9 5.6 3.7 4.2 4.0 4.7 5.4 5.9 5.1 4.2 6.6 4.5 8.0 6.3 5.5 6.7 3.5 5.1 6.1 5.2 4.0 3.8 6.2 5.8 5.6 3.4



Rate2



Participation rate, 20043



Female 56.0 52.2 60.9 54.4 51.4 54.1 61.9 57.1 58.6 57.7 52.8 56.4 58.4 58.4 56.0 57.7 62.2 60.7 52.8 51.8 58.5 59.5 59.3 55.9 66.3 51.7 59.3 59.4 65.8 56.8 62.6 55.5 54.1 52.9 55.5 65.9 56.8 54.5 54.8 55.3 58.5 55.3 66.8 54.5 54.8 59.4 63.6 58.3 57.4 46.8 63.6 62.6



Total 8,149 126 25 141 77 1,084 137 88 17 25 390 205 21 37 389 167 75 82 103 124 32 121 172 356 140 83 173 24 37 50 27 210 51 548 227 12 370 84 140 350 30 142 16 147 657 64 13 147 202 42 155 11



Male 4,455 60 14 78 39 614 79 48 9 14 205 109 13 22 204 87 37 42 59 68 18 57 104 203 86 40 93 14 19 28 16 111 26 294 116 8 205 42 80 207 16 71 8 77 370 35 7 75 108 24 90 6



Female 5.4 6.4 7.2 5.1 6.4 6.0 5.1 4.7 4.0 7.4 4.7 4.8 2.7 4.7 6.2 5.4 4.9 5.9 4.8 5.7 4.2 4.6 4.2 6.4 3.9 6.8 5.6 4.3 3.8 4.2 3.3 4.9 5.8 5.8 5.6 2.5 5.9 5.3 7.1 4.8 5.2 7.1 3.8 5.1 5.9 5.4 3.4 4.0 6.3 4.7 4.4 4.2



2003 6.0 5.8 7.7 5.7 5.9 6.8 6.2 5.5 4.0 7.2 5.3 4.7 3.9 5.3 6.7 5.3 4.4 5.6 6.2 6.3 5.0 4.5 5.8 7.1 4.9 6.4 5.6 4.4 4.0 5.1 4.5 5.9 5.9 6.4 6.5 3.6 6.2 5.6 8.1 5.7 5.4 6.7 3.5 5.5 6.7 5.7 4.5 4.1 7.4 6.0 5.6 4.4



2000 4.0 4.1 6.2 4.0 4.2 5.0 2.6 2.4 3.3 5.7 3.8 3.5 4.0 4.6 4.5 2.9 2.7 3.7 4.2 5.0 3.4 3.6 2.7 3.7 3.2 5.6 3.3 4.8 2.7 4.5 2.6 3.7 5.0 4.5 3.8 2.9 4.0 3.1 5.2 4.2 4.1 3.5 2.7 4.0 4.4 3.4 2.6 2.3 5.0 5.5 3.4 3.8



1990 5.6 6.3 7.0 5.3 6.8 5.8 5.1 4.9 4.2 6.0 6.3 5.2 2.4 5.5 6.3 5.0 4.5 4.3 6.1 5.9 5.3 4.6 6.3 7.7 4.8 7.7 5.8 6.0 2.3 5.1 5.6 5.1 6.8 5.3 4.2 4.0 5.7 5.7 5.4 5.4 6.1 4.9 3.7 5.5 6.4 4.4 4.9 4.4 5.1 8.6 4.3 5.3



Male 73.3 70.0 76.6 73.1 70.1 73.9 80.5 73.3 72.0 73.9 69.6 76.0 69.7 74.8 73.3 73.1 75.3 78.9 68.9 67.7 71.4 75.0 73.7 72.8 80.3 68.4 74.1 71.2 80.7 74.2 77.9 74.0 69.9 70.3 73.6 77.1 73.5 71.3 73.5 71.6 71.5 71.2 78.1 69.9 76.4 79.5 75.9 74.3 74.7 60.8 77.2 77.3



Female 59.2 55.8 65.6 57.4 54.9 57.6 65.3 60.0 61.1 62.3 55.4 59.2 60.1 61.3 59.7 61.0 65.4 64.5 55.4 54.9 61.0 62.3 61.9 59.7 69.0 55.5 62.7 62.0 68.5 59.3 64.7 58.4 57.5 56.2 58.8 67.6 60.4 57.6 59.0 58.1 61.7 59.5 69.4 57.4 58.2 62.7 65.8 60.8 61.2 49.1 66.6 65.3



69.2 66.3 70.6 69.4 66.3 69.2 76.0 69.5 69.3 67.2 66.4 72.6 66.8 70.5 68.9 69.3 72.0 74.7 65.1 63.4 67.8 72.1 69.3 67.3 75.9 64.5 69.8 67.2 77.7 71.0 74.7 70.5 66.1 66.1 69.9 73.8 68.6 68.1 67.6 67.2 67.5 66.5 75.4 66.4 71.7 75.4 72.9 71.5 70.0 57.2 72.9 74.7



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1 2 3



. . . . . .



Civilian employment as a percent of civilian noninstitutionalized population. Percent unemployed of the civilian labor force. Percent of civilian noninstitutionalized population of each specified group in the civilian labor force. 4 United States totals differ from the sum of the state figures because of different benchmarks among states. Survey, Census, or Data Collection Method: Based on the Current Population Survey (CPS); for information, see Appendix B, Limitations of the Data and Methodology, and the following document at . Source: U.S. Bureau of Labor Statistics, Geographic Profile of Employment and Unemployment, 2004 Annual Averages; see Internet site (accessed 2 August 2005); data for prior years, Local Unemployment Statistics Program, see Internet site (accessed 7 September 2005).



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



39



Table A-30. States — Employed Civilians by Occupation: 2003

Management, professional, and related occupations (1,000) Geographic area Management, business, and financial operations occupations 19,934 267 40 393 160 2,407 392 275 61 58 1,103 605 86 79 849 393 225 214 245 214 81 500 527 578 483 140 395 81 163 134 106 702 110 1,217 532 54 758 241 237 824 69 244 68 397 1,368 161 53 609 448 78 422 39 Sales and office occupations (1,000) Natural resources, construction, and maintenance occupations (1,000) Production, transportation, and material moving occupations (1,000)



Total, (1,000) United States1. . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137,736 2,023 305 2,539 1,186 16,283 2,328 1,704 399 281 7,744 4,207 592 655 5,908 3,024 1,540 1,357 1,836 1,904 658 2,773 3,217 4,674 2,778 1,229 2,850 452 937 1,082 688 4,118 840 8,726 3,957 333 5,552 1,600 1,707 5,826 543 1,866 410 2,740 10,173 1,118 335 3,620 2,903 739 2,905 266



Professional and related occupations 27,995 389 64 500 198 3,424 478 397 81 96 1,461 813 105 120 1,180 527 296 273 353 379 129 691 796 929 607 215 583 80 167 160 158 913 178 1,986 788 61 1,052 305 318 1,267 112 318 70 492 1,925 214 78 856 631 140 525 44



Service occupations (1,000) 22,086 292 51 416 170 2,579 363 255 62 44 1,375 595 126 118 904 435 231 212 301 348 115 419 498 815 398 197 435 77 139 271 94 583 149 1,616 583 59 970 245 287 863 103 313 69 404 1,660 159 53 520 453 128 451 40



Sales and related occupations 15,960 212 27 361 135 1,968 283 196 41 17 1,038 526 64 76 653 339 164 142 196 217 74 287 351 491 309 127 352 48 106 140 86 503 94 954 438 38 650 170 214 630 61 235 47 325 1,219 140 33 410 323 86 306 29



Office and administrative support occupations 19,536 288 45 350 161 2,375 308 257 66 40 1,155 540 93 91 869 432 228 189 255 261 88 389 440 651 373 166 416 59 135 140 87 640 110 1,239 503 45 791 229 245 876 75 248 56 392 1,462 177 41 475 400 106 394 35



Farming, fishing, and forestry occupations 1,050 (B) 6 (B) (B) 231 (B) (B) (B) (B) 45 (B) (B) 19 (B) (B) (B) (B) (B) (B) 11 (B) (B) (B) (B) (B) (B) 10 (B) (B) (B) (B) 13 32 44 7 (B) (B) 35 (B) (B) (B) (B) (B) 101 (B) (B) (B) 40 (B) (B) (B)



Construction and extraction occupations 8,114 123 23 164 61 879 161 95 25 8 535 306 35 44 349 174 66 79 88 141 41 158 196 236 168 83 194 36 55 91 41 190 62 450 274 18 271 106 83 283 26 106 23 161 685 65 23 214 169 54 159 26



Installation, maintenance, and repair occupations 5,041 82 14 93 53 536 79 48 14 4 300 181 23 29 220 142 53 55 74 88 29 79 86 154 87 54 107 16 39 42 27 117 32 263 145 13 198 77 56 215 16 95 14 102 412 43 14 140 109 38 111 15



Production occupations 9,700 217 12 134 128 1,013 116 107 24 (B) 323 343 20 39 457 337 157 102 172 127 51 105 184 515 188 131 174 19 61 45 54 187 39 493 387 16 468 111 120 460 48 174 33 239 702 77 23 199 165 46 313 12



Transportation and material moving occupations 8,320 135 23 117 101 873 134 72 23 10 410 282 34 41 406 232 98 79 134 116 39 137 128 285 149 97 183 26 57 57 32 271 53 476 261 22 381 98 113 380 29 123 21 211 639 74 14 182 164 60 195 23



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



B Base figure too small to meet statistical standards for reliability.

1



The sum of the states does not equal the U.S. total due to independent population controls.



Survey, Census, or Data Collection Method: Based on the Current Population Survey; for information, see Appendix B, Limitations of the Data and Methodology, and the following document at . Source: U.S. Bureau of Labor Statistics, Local Area Unemployment Statistics, Geographic Profile of Employment and Unemployment, 2003 (published August 2005). See Internet site .



40



State and Metropolitan Area Data Book: 2006

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Table A-31. States — Private Industry Employment and Pay

Employment Average annual pay



Geographic area



Total (1,000)



Percent change 2002– 2003 –0.48 –0.63 1.76 1.40 –0.61 –0.12 –2.07 –1.32 –0.05 0.22 1.03 –1.01 2.15 0.58 –1.31 –0.68 –0.69 –1.44 –0.19 0.30 –0.08 0.33 –1.83 –1.76 –0.34 –1.19 –0.64 1.24 0.08 3.47 –0.19 –0.41 0.91 –0.66 –1.25 0.74 –1.14 –2.13 –0.40 –0.78 0.93 –0.02 0.24 –0.20 –0.97 –0.10 –0.78 0.08 0.21 –0.94 –0.13 0.76 2000– 2003 –2.68 –3.80 4.26 –0.05 –2.26 –1.47 –4.86 –4.81 –1.62 0.53 2.12 –4.10 2.40 1.21 –4.91 –4.92 –3.43 –3.16 –3.76 –1.45 –0.74 0.58 –4.44 –7.04 –2.38 –5.65 –3.07 2.53 –1.70 5.27 –1.74 –1.76 1.19 –3.81 –5.10 –0.95 –5.26 –4.49 –3.55 –2.19 0.74 –3.50 –3.18 –3.65 –2.07 –1.50 –1.81 –1.23 –3.99 –1.64 –3.00 4.21



Total (dol.)



Rank



Percent change 2002– 2003 2.65 3.42 1.54 2.86 2.83 2.67 2.38 3.26 3.52 3.78 3.45 2.38 3.32 1.85 2.10 2.52 3.64 2.36 3.03 1.97 3.39 3.38 2.79 3.46 3.13 3.14 2.04 3.41 2.99 3.89 2.98 2.47 2.67 1.85 2.53 4.12 2.69 3.92 2.28 3.42 4.89 2.56 3.23 3.15 1.84 1.70 3.13 3.79 1.80 1.94 2.74 3.02 2000– 2003 6.14 10.80 8.97 6.69 9.46 1.67 3.56 6.22 11.68 12.54 9.60 6.28 9.58 2.35 6.09 7.65 9.89 7.25 10.03 9.29 10.81 10.59 3.37 6.06 8.95 9.28 7.42 10.68 8.93 9.34 6.91 5.35 9.14 3.63 7.47 11.83 7.51 9.94 4.10 8.49 11.73 8.87 10.13 9.72 4.94 5.52 10.04 9.08 3.82 7.86 8.89 9.98



2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107,066 1,483 216 1,903 931 12,447 1,777 1,390 348 421 6,213 3,157 454 468 4,887 2,427 1,178 1,049 1,423 1,493 492 1,984 2,739 3,680 2,206 864 2,201 314 724 949 520 3,262 571 6,804 3,093 252 4,524 1,121 1,315 4,754 408 1,454 296 2,205 7,588 857 245 2,788 2,158 542 2,307 183



2002 107,577 1,492 212 1,877 936 12,462 1,814 1,409 348 420 6,150 3,189 445 466 4,952 2,444 1,186 1,064 1,426 1,489 493 1,977 2,790 3,746 2,214 874 2,215 310 724 918 521 3,276 566 6,849 3,133 250 4,576 1,145 1,320 4,791 404 1,455 295 2,209 7,662 858 247 2,786 2,153 548 2,310 182



2001 109,305 1,519 210 1,892 946 12,668 1,873 1,430 353 417 6,154 3,268 446 467 5,077 2,486 1,202 1,083 1,448 1,514 496 1,980 2,862 3,833 2,241 884 2,242 307 735 921 531 3,306 562 7,020 3,193 251 4,686 1,171 1,343 4,849 405 1,477 297 2,242 7,789 872 250 2,826 2,209 552 2,341 181



2000 110,015 1,542 207 1,904 952 12,632 1,868 1,461 353 419 6,084 3,292 443 463 5,139 2,553 1,219 1,083 1,479 1,515 496 1,972 2,866 3,959 2,260 916 2,270 306 737 902 530 3,320 564 7,073 3,260 254 4,775 1,173 1,363 4,860 405 1,507 305 2,288 7,748 870 249 2,823 2,248 551 2,379 176



2003 37,508 31,567 36,504 34,602 28,494 41,864 38,891 48,935 40,884 56,075 32,915 36,863 31,974 28,272 40,574 33,395 30,220 31,794 31,658 30,615 30,229 39,155 46,569 39,484 38,693 27,138 33,944 25,659 29,924 34,320 37,685 45,981 28,941 47,902 33,313 27,197 34,607 29,264 33,819 36,483 34,865 30,241 26,751 33,495 37,442 30,522 31,572 38,142 38,673 28,359 32,998 29,148



2002 36,539 30,523 35,950 33,640 27,710 40,777 37,988 47,389 39,494 54,034 31,816 36,007 30,947 27,758 39,739 32,575 29,158 31,061 30,727 30,024 29,239 37,873 45,305 38,162 37,519 26,313 33,264 24,813 29,054 33,035 36,594 44,872 28,187 47,031 32,490 26,120 33,701 28,160 33,066 35,277 33,240 29,485 25,915 32,471 36,766 30,011 30,613 36,750 37,988 27,819 32,118 28,293



2001 36,157 29,532 35,034 33,165 26,935 40,937 38,214 47,733 38,680 52,903 31,038 35,574 29,816 27,478 39,235 31,759 28,371 30,468 29,934 29,206 28,397 37,047 45,561 37,556 36,778 25,597 32,630 24,122 28,034 32,197 35,955 44,151 27,683 47,659 31,910 25,324 32,885 27,615 32,751 34,544 32,179 28,796 25,139 31,457 36,794 29,702 29,918 36,525 37,397 27,322 31,180 27,630



2000 35,337 28,491 33,500 32,432 26,032 41,175 37,553 46,068 36,607 49,828 30,031 34,686 29,179 27,623 38,246 31,022 27,501 29,646 28,773 28,013 27,280 35,407 45,049 37,227 35,513 24,833 31,598 23,184 27,471 31,387 35,250 43,646 26,518 46,224 30,998 24,319 32,191 26,617 32,488 33,629 31,206 27,776 24,291 30,527 35,681 28,925 28,691 34,967 37,249 26,292 30,304 26,502



2003 (X) 34 17 21 44 5 10 1 6 (X) 29 16 30 46 7 26 39 31 32 35 38 9 3 8 11 48 23 50 40 22 14 4 43 2 27 47 20 41 24 18 19 37 49 25 15 36 33 13 12 45 28 42



2000 (X) 35 18 20 46 5 7 2 10 (X) 29 16 31 38 6 25 39 30 33 36 41 13 3 9 12 47 22 50 40 23 14 4 43 1 26 48 21 42 19 17 24 37 49 27 11 32 34 15 8 45 28 44



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



X Not applicable. Survey, Census, or Data Collection Method: . Based on the Quarterly Census of Employment and Wages (QCEW) program (ES-202). For information, see Internet site



Source: U.S. Bureau of Labor Statistics, Employment and Wages, Annual Averages, annual, 2003 edition. See Internet sites and for prior years.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



41



Table A-32. States — Industry Employment and Pay

Private industry employment, 2003 (1,000) Management of companies and enterprises 1,660 10 1 21 24 256 20 28 11 2 65 52 7 7 76 27 9 10 14 22 6 9 65 68 60 10 67 1 14 8 6 62 5 120 61 3 88 12 25 64 8 10 3 24 41 19 (Z) 68 32 3 39 1 Arts, entertain- Accomment, modation and and recreafood tion services 1,817 15 4 29 9 235 40 24 9 6 157 37 11 8 81 45 20 13 18 37 8 34 45 62 36 13 43 9 11 28 11 47 8 125 46 3 68 13 20 76 7 25 6 28 96 16 4 43 42 9 34 3 10,345 140 26 204 79 1,161 205 101 30 44 651 312 88 47 417 226 105 96 138 162 50 185 242 335 195 110 220 43 67 276 50 271 74 517 292 27 419 113 131 392 42 169 34 219 763 84 29 266 203 57 212 28



Geographic area Construction 6,672 100 17 176 51 785 150 62 24 13 445 196 28 37 273 145 65 63 83 119 31 167 137 189 125 50 138 23 46 100 29 159 47 317 211 16 230 63 77 246 21 112 19 115 552 68 15 218 144 33 124 20 Manufacturing 14,460 294 12 176 206 1,532 156 199 36 3 387 450 15 62 716 572 220 172 266 156 64 148 326 717 345 179 311 19 102 44 80 347 36 611 601 23 845 143 194 716 58 276 38 411 902 111 37 305 262 65 505 9 Wholesale trade 5,589 77 6 93 45 646 92 65 14 4 313 205 17 24 301 118 65 59 73 76 21 91 135 172 129 35 118 15 41 34 27 231 22 351 163 18 235 55 75 227 16 63 17 127 458 40 10 113 112 23 113 7



Total1 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107,066 1,483 216 1,903 931 12,447 1,777 1,390 348 421 6,213 3,157 454 468 4,887 2,427 1,178 1,049 1,423 1,493 492 1,984 2,739 3,680 2,206 864 2,201 314 724 949 520 3,262 571 6,804 3,093 252 4,524 1,121 1,315 4,754 408 1,454 296 2,205 7,588 857 245 2,788 2,158 542 2,307 183



Retail trade 14,931 229 34 277 129 1,589 240 192 52 17 922 445 65 73 626 335 181 151 211 224 86 297 355 517 301 139 313 54 108 120 96 465 91 852 432 41 628 170 184 664 53 224 48 313 1,082 130 40 404 299 88 319 30



Transportation and warehousing 3,946 48 19 63 55 406 61 38 9 3 196 147 24 15 211 99 45 40 76 68 14 61 71 100 75 36 88 10 34 36 13 154 17 215 109 8 152 41 48 186 9 47 9 131 319 38 7 101 77 16 91 7



Information 3,181 32 7 50 20 472 85 40 7 25 172 123 11 9 135 41 34 47 30 29 11 50 91 70 60 15 68 8 21 16 12 102 16 275 75 8 97 32 34 123 11 27 7 50 239 29 6 101 91 13 50 4



Finance and insurance 5,782 71 8 115 36 611 104 123 39 17 330 154 16 18 312 104 80 55 64 64 27 109 176 158 137 33 117 15 50 36 27 203 23 514 138 15 232 55 59 270 25 64 24 102 406 50 10 129 102 22 126 7



Real estate and rental and leasing 2,045 24 5 43 13 273 46 20 6 10 154 58 12 7 84 35 15 15 20 34 7 47 44 56 37 12 40 5 10 22 8 57 10 179 47 3 70 23 27 68 6 25 3 35 169 15 3 56 47 7 27 3



Professional and technical services 6,639 86 11 104 31 910 139 88 26 91 386 194 22 29 331 86 37 52 57 70 22 202 219 249 118 29 113 16 34 43 25 257 41 506 146 9 226 57 61 277 19 62 8 98 451 50 12 290 129 23 89 7



Educational services 2,016 16 2 28 8 228 22 44 3 32 86 51 12 4 105 37 22 10 14 21 9 50 116 52 34 8 40 4 9 4 16 61 6 257 46 1 79 13 20 160 16 17 3 35 87 15 9 45 27 5 26 1



Health care and social assistance 13,722 169 31 212 126 1,270 188 215 43 51 770 327 52 55 604 299 156 144 195 206 89 276 425 474 317 101 292 49 96 71 71 430 81 1,134 364 44 638 157 162 764 70 140 49 264 934 90 40 297 265 98 312 19



Government employment, 2003 (1,000) 20,730 341 76 369 185 2,361 341 235 55 230 1,035 626 115 107 811 395 227 236 291 362 99 450 402 641 370 233 415 79 151 131 84 588 175 1,421 626 63 757 291 249 717 65 313 69 394 1,621 185 50 623 495 136 381 58



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



42



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-32. States — Industry Employment and Pay—Con.

Private industry average annual pay, 2003 (dol.) Management of companies and enterprises 72,270 56,525 60,228 59,269 61,459 65,006 74,427 105,496 68,251 130,233 65,959 65,057 60,718 61,043 88,417 61,543 53,662 53,534 70,826 47,734 52,413 65,159 67,844 82,592 79,149 51,721 64,442 37,144 56,334 123,478 71,839 95,015 42,044 107,642 68,260 46,909 69,216 52,409 61,660 67,745 83,882 54,050 59,693 51,655 64,151 47,745 59,466 72,245 69,785 44,937 68,231 73,646 Arts, entertain- Accomment, modation and and recreafood tion services 27,016 15,416 15,135 28,859 13,400 41,695 28,474 23,583 20,695 42,936 28,020 28,707 20,434 14,702 25,715 24,933 16,022 13,981 18,280 24,450 16,866 22,529 28,973 23,737 23,603 18,951 28,149 13,889 13,124 24,334 17,211 27,433 16,741 37,834 23,875 11,579 22,647 14,960 20,443 23,111 20,563 15,563 13,095 30,034 24,465 18,175 16,449 19,624 22,592 16,871 20,156 14,715 14,228 11,238 16,769 14,342 10,424 15,775 14,283 16,031 14,408 23,542 15,275 13,592 21,518 10,544 13,857 11,264 10,079 11,062 11,953 12,302 13,123 16,047 16,688 11,944 12,284 13,902 12,188 10,662 10,402 25,448 14,754 18,393 11,737 17,788 12,193 9,633 11,492 10,725 13,260 12,756 14,108 12,411 10,143 13,498 13,865 11,533 15,062 13,585 14,330 11,335 10,210 11,910 Government average annual pay, 2003 (dol.) 39,094 35,148 41,483 37,393 30,896 46,434 39,211 44,741 41,398 68,368 37,318 35,430 40,695 30,447 40,336 33,283 33,242 30,129 32,820 31,472 33,336 47,429 44,642 39,139 38,111 29,273 32,963 31,853 32,581 42,627 35,063 48,401 34,313 44,108 34,614 29,360 38,417 31,374 37,786 40,393 46,165 33,118 29,191 34,062 34,751 33,810 34,608 40,568 40,537 32,984 36,016 32,363



Geographic area Construction 39,509 32,185 52,526 34,941 29,684 42,518 39,315 48,046 38,909 46,578 35,266 36,904 49,555 30,658 49,150 38,494 35,521 34,219 34,130 33,115 33,594 42,272 51,501 43,128 45,334 29,551 39,371 31,728 33,498 41,722 42,061 50,350 30,541 48,702 32,646 32,547 38,369 30,570 38,402 41,869 43,480 32,454 30,188 35,239 37,301 30,526 33,416 36,268 39,477 30,911 40,248 32,986 Manufacturing 45,916 37,700 34,574 50,578 31,886 53,712 50,855 58,051 50,147 65,153 40,926 39,546 31,441 39,511 46,257 45,452 39,864 41,279 41,391 45,564 40,237 50,326 58,363 55,473 46,591 31,988 41,388 34,606 34,696 41,456 48,237 56,131 39,507 48,342 39,567 34,085 45,908 37,680 45,056 44,346 39,152 39,035 32,080 40,159 48,771 38,015 44,256 40,655 50,537 40,919 42,048 37,501 Wholesale trade 50,835 42,690 41,679 50,072 40,502 52,049 53,806 66,464 58,380 72,135 47,951 53,672 40,473 35,465 54,786 44,122 39,352 43,505 42,457 39,881 42,612 54,870 64,353 53,535 54,560 37,869 45,904 34,186 38,716 47,875 60,426 64,298 38,231 57,796 46,646 36,126 47,284 38,823 50,090 50,018 49,711 42,825 35,698 44,859 53,164 42,805 44,233 52,721 49,073 38,892 44,662 38,721



Total1 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,508 31,567 36,504 34,602 28,494 41,864 38,891 48,935 40,884 56,075 32,915 36,863 31,974 28,272 40,574 33,395 30,220 31,794 31,658 30,615 30,229 39,155 46,569 39,484 38,693 27,138 33,944 25,659 29,924 34,320 37,685 45,981 28,941 47,902 33,313 27,197 34,607 29,264 33,819 36,483 34,865 30,241 26,751 33,495 37,442 30,522 31,572 38,142 38,673 28,359 32,998 29,148



Retail trade 23,804 21,111 25,444 25,594 18,991 28,258 24,562 27,873 23,055 26,720 23,967 23,597 23,994 21,355 23,772 20,921 19,937 20,347 20,325 20,136 21,343 25,434 26,086 22,980 22,135 19,152 21,406 20,057 19,539 26,045 25,053 28,136 21,674 25,687 21,946 19,268 22,503 20,207 23,321 22,522 23,845 21,695 19,402 23,107 24,453 21,373 22,395 22,624 26,042 18,913 20,260 19,892



Transportation and warehousing 37,436 32,632 44,987 37,269 32,386 39,421 37,822 36,906 32,307 40,502 35,560 43,568 36,279 27,972 39,218 34,118 32,517 32,903 40,738 37,532 30,451 36,596 36,250 42,897 42,045 31,853 35,767 28,522 33,317 29,870 31,243 39,910 31,846 37,313 35,439 30,064 35,828 36,619 33,551 34,465 30,815 32,560 28,918 39,116 41,704 36,144 31,639 35,844 40,379 34,030 32,369 32,155



Information 58,002 42,921 44,923 43,672 36,517 73,737 66,529 57,480 51,284 78,914 47,447 59,681 45,433 34,433 54,491 40,479 36,681 50,675 35,729 36,617 38,408 57,915 68,222 49,168 49,511 35,038 46,654 33,362 43,590 46,018 56,188 68,855 33,248 70,317 48,545 37,228 46,811 38,600 50,372 51,152 52,781 39,742 33,094 41,394 52,996 40,869 37,230 67,400 104,387 36,864 39,661 28,988



Finance and insurance 64,956 46,125 45,317 50,386 39,716 73,848 58,284 104,235 67,140 99,036 53,572 58,097 51,035 39,417 69,304 45,527 45,647 45,631 43,953 38,018 45,438 63,918 87,960 51,486 64,154 37,842 47,611 37,909 42,941 50,670 60,463 78,260 39,174 124,633 58,019 36,582 49,505 37,162 51,289 56,243 53,872 42,092 35,712 53,071 54,473 43,219 49,853 61,366 57,963 32,958 46,484 37,394



Real estate and rental and leasing 35,054 27,546 27,567 33,391 22,910 39,997 35,604 42,956 33,694 51,245 33,595 37,176 34,404 21,816 41,246 27,744 27,744 26,840 25,792 30,421 26,973 39,677 44,808 29,360 34,787 21,517 28,447 20,064 25,058 31,718 36,518 43,086 25,859 42,907 29,650 19,951 29,343 28,117 26,642 35,519 33,275 28,021 20,198 31,519 35,473 26,353 27,530 34,958 29,571 23,010 26,810 24,913



Professional and technical services 59,877 51,238 46,282 50,011 40,511 67,589 61,505 70,820 66,791 86,453 50,377 57,166 49,554 43,547 65,811 43,940 40,305 42,814 43,458 43,180 43,019 61,983 74,863 62,909 58,546 40,020 53,342 36,817 44,905 56,749 57,697 69,479 52,979 70,153 49,821 35,969 49,402 41,318 48,204 58,664 52,718 45,901 35,707 47,763 60,697 47,455 47,283 66,598 56,908 36,266 47,631 36,325



Educational services 34,418 25,622 27,256 31,152 24,153 34,202 30,015 43,772 31,190 45,060 29,733 35,374 29,154 29,137 36,143 27,205 25,109 26,415 24,745 28,314 31,230 37,943 44,607 28,014 30,130 23,675 37,295 19,948 32,252 29,765 36,189 40,244 24,971 36,820 33,115 20,809 27,904 26,035 25,257 38,131 37,097 25,594 23,939 36,599 33,153 33,348 31,056 31,019 27,822 23,894 33,244 21,614



Health care and social assistance 35,167 33,409 34,964 37,562 30,131 39,619 36,601 38,981 39,265 44,573 36,167 36,097 36,703 28,851 35,650 33,429 29,885 30,411 32,600 29,223 31,270 37,294 39,690 35,935 35,497 31,175 32,814 29,250 31,973 40,691 36,288 39,674 30,089 35,983 32,803 29,457 33,446 29,144 34,683 34,503 33,878 33,008 31,466 35,505 33,155 30,365 30,314 34,947 33,409 29,656 34,252 29,738



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



Z Fewer than 500.

1



Includes data for industries not shown and unclassified establishments. Based on the Quarterly Census of Employment and Wages (QCEW) program (ES-202); for information, see Internet site



Survey, Census, or Data Collection Method: . Source:



U.S. Bureau of Labor Statistics, Employment and Wages, Annual Averages, 2003, annual. See Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



43



Table A-33. States — Union Membership

Percent of workers Union members (1,000) Workers covered by union (1,000) Union members 2004 United States . . . Alabama1 . Alaska . . . Arizona1 . . Arkansas1 California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,471.6 181.3 53.9 145.3 50.9 2,384.7 172.0 234.7 46.1 32.7 414.2 242.2 126.4 32.8 908.3 310.7 141.0 103.0 163.7 129.3 63.7 272.0 393.3 929.8 424.2 52.9 314.8 42.7 69.2 126.0 60.9 744.8 49.0 1,995.8 97.0 22.4 758.6 86.2 223.5 792.7 79.4 53.5 20.8 164.2 457.3 57.5 28.7 176.1 509.8 99.4 414.3 17.8 2000 16,258.2 180.8 56.8 129.7 61.5 2,295.1 173.2 245.8 46.9 35.9 433.6 228.1 123.5 40.7 1,046.3 418.4 181.8 108.5 208.0 121.9 78.1 353.3 406.3 938.3 419.0 67.7 337.9 51.2 64.9 150.9 59.8 762.0 56.2 1,958.0 124.1 17.6 879.0 93.8 234.4 869.6 79.6 70.3 18.2 211.5 505.4 69.3 28.2 179.1 470.8 102.9 446.0 17.9 1990 16,739.8 194.6 46.9 111.6 91.4 2,219.4 153.6 272.0 46.8 41.4 416.9 186.9 130.8 37.0 1,059.1 480.0 183.6 119.0 206.4 116.1 88.5 319.9 471.7 974.0 395.7 75.7 299.2 54.5 74.7 85.9 59.6 827.2 38.4 2,083.7 150.6 29.6 968.5 130.3 237.3 1,023.0 78.6 67.3 22.3 235.5 446.9 61.5 29.9 230.4 466.4 121.8 451.2 26.5 2004 17,087.3 213.1 60.0 183.2 65.3 2,587.6 191.3 255.8 49.2 37.5 532.9 282.3 132.2 44.4 970.6 337.5 170.7 131.7 197.2 157.2 74.4 312.9 429.9 965.6 443.4 70.1 356.5 46.1 83.3 143.9 68.3 813.5 65.3 2,084.6 126.5 26.2 820.3 100.2 243.2 841.7 82.6 74.3 26.8 191.0 572.8 66.6 33.3 217.8 535.7 109.6 439.1 21.9 2000 17,944.1 197.6 64.3 147.8 70.9 2,546.0 193.0 262.5 51.7 40.2 553.6 267.0 129.1 48.0 1,100.6 460.6 215.1 134.5 234.5 154.8 92.2 405.5 444.9 985.3 434.3 104.3 365.3 57.8 89.4 165.3 66.7 800.7 69.7 2,036.4 148.4 21.1 955.1 108.0 251.0 925.7 82.5 88.8 22.2 238.8 645.1 84.9 33.9 227.0 516.1 111.4 473.1 21.6 1990 19,057.8 230.0 52.6 135.5 107.6 2,569.1 176.6 303.3 52.7 50.7 545.7 230.7 141.4 43.0 1,155.6 516.2 238.6 154.6 223.6 141.4 107.5 374.2 505.1 1,038.8 429.7 92.0 342.8 61.7 104.1 96.9 67.4 902.8 52.2 2,270.2 187.2 37.8 1,076.7 158.7 273.4 1,136.9 84.6 89.5 30.2 283.2 589.8 85.3 35.9 298.6 531.0 138.0 474.0 33.1 2004 12.5 9.7 20.1 6.3 4.8 16.5 8.4 15.3 12.4 12.7 6.0 6.4 23.7 5.8 16.8 11.4 10.5 8.4 9.6 7.6 11.3 10.9 13.5 21.6 17.5 4.8 12.4 11.7 8.3 12.5 9.9 19.8 6.7 25.3 2.7 7.7 15.2 6.1 15.2 15.0 16.3 3.0 6.0 6.7 5.0 5.8 9.8 5.3 19.3 14.2 16.0 8.0 2000 13.5 9.6 21.9 6.4 5.8 16.0 9.0 16.3 13.3 14.7 6.8 6.3 24.8 7.6 18.6 15.6 13.6 9.0 12.0 7.1 14.0 14.6 14.3 20.8 18.2 6.0 13.2 13.9 8.4 17.1 10.4 20.8 8.1 25.5 3.6 6.5 17.3 6.8 16.1 16.9 18.2 4.0 5.5 8.9 5.8 7.3 10.3 5.6 18.2 14.3 17.6 8.3 1990 16.1 12.3 23.1 7.8 10.3 18.4 10.5 17.7 14.9 16.1 8.1 6.9 29.1 9.4 20.8 19.9 15.5 11.3 14.3 7.7 17.5 14.5 17.6 25.4 20.3 7.9 13.7 18.1 11.0 16.3 11.5 24.1 7.0 28.2 5.2 12.0 21.0 10.6 20.4 20.4 18.2 4.6 8.4 11.7 6.4 9.4 12.6 8.4 22.8 19.3 20.6 13.5 Covered by union 2004 13.8 11.5 22.4 7.9 6.2 18.0 9.3 16.6 13.2 14.5 7.7 7.5 24.8 7.9 17.9 12.4 12.7 10.8 11.6 9.3 13.2 12.5 14.7 22.4 18.3 6.3 14.0 12.6 10.0 14.3 11.0 21.6 8.9 26.4 3.6 9.0 16.4 7.1 16.5 15.9 17.0 4.2 7.7 7.7 6.3 6.7 11.4 6.6 20.3 15.7 16.9 9.8 2000 14.9 10.5 24.8 7.3 6.7 17.7 10.0 17.4 14.6 16.5 8.7 7.4 26.0 9.0 19.5 17.1 16.1 11.2 13.6 9.0 16.6 16.7 15.7 21.8 18.8 9.3 14.2 15.7 11.5 18.8 11.6 21.8 10.1 26.5 4.4 7.8 18.8 7.8 17.2 18.0 18.8 5.1 6.7 10.0 7.4 9.0 12.4 7.1 19.9 15.5 18.7 10.0 1990 18.3 14.5 25.9 9.5 12.2 21.3 12.0 19.8 16.8 19.7 10.5 8.5 31.5 11.0 22.7 21.4 20.1 14.7 15.5 9.4 21.2 17.0 18.8 27.1 22.0 9.6 15.7 20.5 15.3 18.4 13.0 26.3 9.5 30.7 6.5 15.3 23.3 12.9 23.4 22.7 19.6 6.1 11.3 14.1 8.4 13.0 15.2 10.9 26.0 21.9 21.6 16.8 Private sector union members 2004 7.9 5.7 10.9 3.9 3.2 9.4 5.2 7.3 7.7 8.8 2.8 4.3 16.2 3.7 12.1 9.0 7.2 6.1 7.5 4.8 5.9 6.0 7.7 15.9 11.1 4.0 10.9 5.5 5.0 10.0 4.8 11.6 3.4 15.1 1.6 4.1 10.5 3.5 8.1 9.7 8.8 2.6 2.9 4.9 2.7 2.9 4.2 3.4 13.2 10.5 10.4 5.3 2000 9.0 5.8 12.8 4.2 4.0 9.7 6.0 9.4 8.9 9.5 3.3 4.6 14.4 5.5 14.1 13.1 10.5 8.0 10.1 5.5 8.0 7.8 7.9 15.7 12.3 5.4 12.1 8.2 4.6 13.8 6.3 13.1 5.5 15.3 2.4 3.7 12.3 4.4 9.8 11.2 9.9 2.8 2.5 6.7 3.8 4.5 5.1 3.9 11.8 12.4 11.7 5.5 1990 11.9 10.4 14.0 4.9 8.7 13.0 7.3 11.7 11.3 11.6 4.3 5.7 21.4 7.3 16.5 18.6 11.6 9.4 12.5 5.8 9.7 10.5 10.7 20.2 14.0 7.5 13.1 12.4 7.2 13.2 6.6 17.3 6.7 18.2 3.8 7.4 17.6 7.1 13.5 15.6 10.8 3.7 4.6 9.8 4.7 5.3 6.5 6.3 16.9 18.7 15.1 8.8



Geographic area



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida1 . . . . . . . . Georgia1 Hawaii . . Idaho1 . . Illinois . . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa1. . . . Kansas1 . . Kentucky . Louisiana1 Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi1 . .



Missouri . . . . . . Montana . . . . . Nebraska1 . . . . Nevada1. . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina1 North Dakota1 . Ohio . . . . . . Oklahoma2 . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . .



South Carolina1 . South Dakota1. . Tennessee1 . . . Texas1 . . . . . . . Utah1. . . . . . . . Vermont . . . . Virginia1 . . . . Washington . West Virginia Wisconsin. . . Wyoming1 . .

1 2



. . . . . .



. . . . . .



Right-to-work state. Passed right-to-work law in 2001.



Survey, Census, or Data Collection Method: Based on the Current Population Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet sites and . Source: The Bureau of National Affairs, Inc., Washington, DC, Union Membership and Earnings Data Book: Compilations from the Current Population Survey, 2004 and prior annual editions (copyright by BNA PLUS); authored by Barry Hirsch of Trinity University, San Antonio, TX, and David Macpherson of Florida State University. See Internet sites and .



44



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-34. States — Median Income of Households in Constant (2003) Dollars and



Distribution by Income Level

Median household income in (2003) dollars Geographic area 2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,564 35,158 52,499 40,762 34,246 50,220 50,538 56,803 50,583 42,118 39,871 42,742 50,787 39,492 47,977 42,067 40,526 41,075 34,368 34,141 39,838 57,218 53,610 44,407 50,100 32,466 40,725 35,399 41,406 45,395 53,910 58,588 34,805 46,195 38,234 37,554 41,350 35,129 40,319 41,478 48,854 38,467 38,415 38,247 40,674 46,873 43,697 50,805 46,868 31,008 44,084 43,332 2002 44,049 35,937 57,567 41,907 35,218 50,574 49,017 57,539 50,883 44,668 40,050 42,725 51,400 38,034 47,458 42,573 40,020 40,789 35,650 34,092 40,676 56,858 56,367 44,723 50,320 32,566 40,967 35,980 40,725 44,846 55,456 60,031 36,721 45,703 38,972 36,895 41,353 36,228 41,207 41,899 46,653 38,739 38,068 37,913 42,184 47,505 44,745 49,879 46,983 31,626 44,667 41,925 2001 43,937 34,919 58,292 42,190 34,094 50,009 49,237 58,427 50,979 42,264 39,561 43,932 51,897 38,462 47,853 43,349 40,989 40,333 34,831 34,763 39,011 55,761 54,718 46,036 51,560 33,456 40,593 34,052 41,178 45,418 54,693 58,429 35,561 45,567 40,296 36,483 42,212 35,154 42,012 42,333 44,373 40,143 38,140 37,541 41,915 47,873 43,636 50,396 47,579 30,548 44,649 40,479 2000 44,270 35,576 56,586 41,171 35,312 49,699 49,445 57,693 50,983 43,534 40,626 44,048 54,904 40,093 48,737 43,496 40,767 42,970 35,029 32,981 38,980 55,796 53,204 46,305 50,986 34,947 39,661 35,438 39,899 45,481 54,199 57,727 35,602 46,691 40,302 36,768 42,453 36,309 41,769 42,319 46,750 38,894 37,174 39,035 42,069 48,461 43,207 50,276 48,120 31,102 45,140 41,191 Total number of households, 2003 (1,000) 108,420 1,743 229 2,049 1,076 11,857 1,821 1,323 304 247 6,638 3,153 419 503 4,625 2,351 1,158 1,059 1,607 1,673 535 2,048 2,436 3,884 2,012 1,056 2,285 366 675 834 493 3,123 698 7,119 3,271 254 4,480 1,341 1,409 4,801 412 1,568 299 2,296 7,635 752 242 2,790 2,382 732 2,159 199 Percent of households by income level, 2003



Under $10,000– $15,000– $25,000– $35,000– $50,000– $75,000– $100,000– $150,000– $10,000 $14,999 $24,999 $34,999 $49,999 $74,999 $99,999 $149,999 $199,999 9.01 13.98 4.29 8.84 11.49 7.47 7.18 6.13 5.45 14.94 9.10 9.71 8.23 7.89 8.08 8.15 8.12 8.75 13.07 14.77 8.97 6.30 8.48 8.32 6.54 14.50 9.17 9.26 9.13 7.04 7.05 5.88 12.60 10.00 11.05 10.29 8.93 11.97 9.34 8.68 8.91 11.07 9.26 11.23 10.00 5.90 7.53 7.28 7.61 14.88 7.49 7.05 6.40 8.22 6.03 6.66 8.36 5.26 5.15 5.21 5.36 5.95 7.29 6.15 4.51 6.44 5.76 6.38 7.22 6.63 8.99 9.21 6.50 4.30 5.95 6.00 5.24 9.34 6.64 9.49 6.98 5.83 5.12 4.73 8.91 6.43 6.86 7.97 7.10 7.67 6.81 6.97 6.91 6.97 7.23 7.15 6.68 5.29 6.46 4.65 5.40 10.29 6.10 6.59 12.69 14.39 9.78 13.64 15.27 11.56 10.98 9.24 11.43 10.79 14.40 12.49 9.65 15.76 11.29 13.41 13.44 14.14 14.55 15.50 14.16 8.98 9.60 12.31 10.62 15.53 13.48 16.10 13.02 12.15 9.48 9.43 14.28 11.75 13.74 14.86 13.55 16.26 14.81 13.42 10.94 14.66 13.62 13.48 13.97 11.20 13.23 11.37 11.86 16.64 12.85 13.80 12.17 13.19 11.93 13.73 15.95 10.95 11.46 9.72 10.86 10.72 13.06 12.79 11.16 14.95 11.16 13.53 13.89 13.33 14.15 11.27 14.10 9.70 9.60 12.42 11.08 13.68 13.32 14.60 12.87 13.31 9.27 8.70 14.46 10.89 14.13 13.70 12.92 13.94 12.43 13.25 10.42 12.86 14.95 14.07 12.69 12.80 12.86 10.31 11.50 13.36 12.71 12.08 15.76 16.76 15.22 16.84 16.76 14.52 14.56 13.45 16.22 13.59 16.95 15.97 15.46 16.41 15.46 16.70 17.60 16.45 15.82 14.86 18.66 14.17 12.77 16.27 16.41 16.53 17.45 18.26 18.40 16.60 14.95 13.63 16.70 13.97 16.97 17.52 16.34 17.38 16.53 16.35 13.69 16.47 20.04 16.51 15.56 17.98 17.10 15.51 16.80 15.56 17.00 17.97 19.10 16.11 21.21 18.40 17.05 18.92 21.73 19.63 20.56 16.45 17.92 19.25 20.29 19.60 20.10 21.08 20.51 20.00 17.63 16.56 19.87 19.47 18.63 19.79 22.30 15.89 20.13 17.70 20.04 19.69 22.08 19.10 16.25 18.41 17.90 20.03 19.99 17.11 19.83 19.15 20.89 17.96 19.84 18.26 18.20 21.40 20.82 20.14 20.71 15.08 22.53 21.55 10.87 8.76 14.07 9.90 7.60 11.80 12.18 14.11 13.28 8.83 9.88 10.59 13.01 10.33 11.97 10.82 9.79 9.71 8.13 9.04 9.35 13.99 13.76 11.47 12.65 7.38 9.86 7.94 10.56 11.89 14.41 13.42 7.80 11.30 9.47 8.15 10.34 7.95 9.25 10.31 12.93 10.11 7.81 9.44 10.01 12.82 11.54 12.39 11.88 8.41 11.16 11.42 8.95 5.96 12.24 7.58 5.37 11.80 10.69 12.52 11.80 9.61 7.19 8.49 11.56 6.08 10.02 6.67 6.61 7.38 5.41 6.01 6.18 14.51 13.05 9.21 9.99 4.85 7.05 4.53 6.30 9.44 12.27 14.64 6.31 10.14 6.64 4.89 7.64 5.41 7.20 7.97 10.13 6.77 4.88 6.64 8.21 8.96 7.36 11.65 9.66 4.24 7.09 6.70 2.68 1.35 3.21 2.40 1.17 4.09 3.08 4.69 3.13 4.37 2.19 2.37 3.56 1.26 3.30 1.76 1.55 2.07 1.11 1.50 0.98 4.78 4.40 2.40 2.94 0.98 1.51 1.06 1.33 2.20 3.19 5.58 1.52 3.51 1.64 1.11 1.82 1.25 2.05 2.06 3.26 1.86 1.35 1.75 2.47 2.04 1.64 3.68 2.39 0.94 1.68 1.66



$200,000 and over 2.37 1.28 2.02 2.02 0.99 3.63 2.99 5.31 1.91 4.75 2.01 2.21 2.58 1.28 2.87 1.51 1.28 1.56 1.15 1.28 1.24 3.78 3.78 1.81 2.23 1.31 1.40 1.05 1.38 1.86 2.18 4.88 1.17 3.60 1.62 1.48 1.38 1.07 1.75 1.82 1.92 1.26 1.01 1.47 2.21 1.60 1.48 3.00 2.21 0.59 1.38 1.18



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



Survey, Census, or Data Collection Method: Based on the American Community Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site . Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Economic Characteristics, accessed 24 June 2005. See Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



45



Table A-35. States — Median Income of Families in Constant (2003) Dollars and



Distribution by Income Level

Median family income in (2003) dollars Geographic area 2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,273 43,307 61,117 47,219 41,072 56,530 59,252 69,917 61,270 50,243 47,442 50,647 60,647 46,783 57,385 51,338 51,336 51,157 41,898 41,831 48,541 69,087 67,527 55,018 61,417 39,182 49,441 44,503 50,756 52,502 63,439 70,263 41,661 55,309 45,540 48,386 51,522 43,259 49,800 51,339 60,165 47,081 46,824 46,654 47,479 52,481 52,895 60,174 56,461 38,568 54,500 51,627 2002 52,764 43,249 67,256 48,524 42,843 57,486 58,481 70,421 58,936 50,073 47,617 50,503 59,977 45,683 57,916 51,872 50,634 51,353 43,838 41,696 48,086 66,985 68,411 55,118 61,534 39,372 50,779 44,939 50,606 51,183 65,816 72,082 43,586 55,615 46,926 48,072 50,356 44,234 51,534 52,152 56,977 47,411 47,245 46,735 48,967 52,405 54,203 58,980 57,508 39,545 54,140 51,716 2001 52,754 43,075 64,509 48,792 41,534 56,350 58,263 70,807 59,278 49,030 46,899 50,983 60,691 44,029 58,326 52,547 50,662 49,588 42,556 42,296 45,610 67,027 67,933 55,977 61,679 40,983 50,059 41,898 50,866 52,407 64,767 69,856 41,645 54,650 48,003 47,976 52,507 43,266 50,345 52,461 56,598 48,935 47,529 45,155 48,772 54,017 51,771 59,585 58,218 38,876 54,044 50,105 2000 52,904 43,507 63,190 48,876 42,168 56,681 59,373 69,729 58,919 48,890 48,340 49,968 63,139 46,983 58,993 52,411 50,463 52,737 43,018 41,095 48,911 66,966 65,908 56,264 61,308 42,857 47,951 43,997 49,791 52,454 64,493 69,904 42,816 55,887 47,555 45,833 52,297 43,523 49,324 51,689 57,732 46,857 47,582 47,448 48,595 54,916 51,328 58,824 58,146 37,375 55,892 49,977 Total number of families, 2003 (1,000) 73,058 1,194 156 1,390 738 8,106 1,210 904 200 113 4,339 2,165 289 360 3,097 1,587 758 709 1,123 1,152 348 1,401 1,585 2,600 1,334 739 1,539 238 440 538 338 2,206 473 4,650 2,235 161 2,982 909 911 3,166 265 1,079 199 1,549 5,414 570 156 1,891 1,529 490 1,400 133 Percent of families by income level, 2003 Under $10,000 5.45 8.31 3.09 6.63 7.23 5.02 4.17 3.61 2.83 12.23 5.14 6.12 4.42 4.50 4.85 4.23 3.89 3.97 8.28 10.02 4.42 3.76 4.43 4.99 3.60 9.14 4.58 4.74 4.81 5.24 3.32 3.74 7.90 6.06 6.70 4.87 5.53 7.18 5.35 5.04 4.90 6.91 4.09 6.23 6.67 3.74 2.86 4.11 4.45 9.22 3.93 4.02 $10,000– $14,999 4.18 5.55 3.36 4.74 5.44 3.96 3.04 3.00 2.76 5.83 4.68 4.71 2.51 4.94 3.48 3.55 3.42 3.42 6.85 7.16 4.38 2.53 3.43 3.84 2.48 7.67 3.68 5.70 3.51 2.71 2.76 2.58 7.33 4.47 4.66 4.49 4.08 5.03 4.38 3.41 3.17 5.13 3.75 4.81 5.21 2.71 4.01 2.72 3.53 7.63 3.48 3.85 $15,000– $24,999 10.40 12.48 8.48 11.61 13.06 10.40 8.79 6.16 7.51 10.74 12.44 10.70 7.59 12.11 8.83 9.96 9.76 10.74 12.44 13.42 10.72 6.52 7.08 8.67 7.00 13.88 11.48 12.50 9.15 9.69 7.03 6.86 12.85 10.08 12.05 10.79 10.17 13.68 12.21 10.08 9.18 12.44 10.22 11.43 12.53 9.30 11.49 9.08 8.87 13.91 9.13 9.95 $25,000– $34,999 11.37 13.08 9.61 13.48 15.76 10.57 10.57 8.27 9.50 9.47 12.60 11.65 9.12 13.88 10.26 12.30 12.18 12.94 13.53 10.94 12.92 8.53 8.20 11.46 9.05 13.38 12.41 14.36 11.77 12.76 8.49 7.34 14.07 10.32 13.58 12.34 11.63 13.72 11.36 12.43 8.99 11.81 13.99 13.19 12.38 11.05 11.59 9.26 10.20 14.02 11.35 11.39 $35,000– $49,999 16.00 17.52 14.62 16.25 18.82 14.37 13.93 12.63 16.10 11.52 17.65 16.13 15.80 18.17 15.24 17.98 18.78 17.43 17.91 16.16 19.33 13.08 12.07 16.05 15.29 17.75 18.49 20.86 19.69 16.79 14.54 12.98 17.75 13.92 17.86 19.11 16.63 18.37 16.90 17.36 13.43 16.53 21.86 17.82 15.51 19.09 16.95 15.29 16.39 17.21 16.79 18.61 $50,000– $74,999 21.51 19.94 23.76 20.31 20.26 19.42 23.35 20.54 22.42 15.17 20.80 21.49 22.65 23.31 22.01 24.80 25.45 23.91 20.92 19.62 24.66 19.84 20.01 22.50 26.13 19.27 23.64 22.43 25.15 21.49 24.31 19.86 18.41 20.38 20.63 26.19 23.84 21.21 23.63 22.78 22.79 21.01 25.53 21.95 19.89 23.80 24.62 21.57 23.37 19.05 26.36 25.90 $75,000– $100,000– $150,000– $99,999 $149,999 $199,999 13.32 11.59 15.78 12.00 10.00 13.37 14.57 16.80 16.36 9.84 12.20 12.84 15.82 12.71 14.30 13.99 13.36 12.72 10.33 11.21 12.37 16.64 16.92 14.67 16.09 9.63 12.35 10.58 13.84 14.31 17.23 15.23 10.21 13.40 11.71 11.59 13.51 10.77 11.87 13.26 16.51 12.98 10.83 11.68 11.92 15.26 14.51 14.88 14.59 11.35 15.14 13.97 11.33 8.07 14.88 9.72 6.76 13.86 13.67 15.87 15.79 10.94 9.06 10.67 14.99 7.58 12.91 8.89 9.21 9.97 6.82 7.81 8.22 17.81 16.99 12.15 13.55 6.25 9.45 5.89 8.25 11.84 15.45 18.13 8.04 12.48 8.48 6.96 10.36 7.05 9.27 10.46 14.05 9.00 6.53 8.68 10.15 10.87 10.01 14.42 12.42 5.44 9.76 8.58 3.41 1.70 3.81 2.66 1.51 4.74 4.06 6.12 4.21 7.20 2.84 2.94 4.09 1.58 4.26 2.29 2.11 2.79 1.45 1.99 1.33 6.31 5.64 3.22 3.88 1.31 2.16 1.53 1.85 2.75 4.12 7.00 2.01 4.35 2.22 1.63 2.49 1.68 2.63 2.82 4.39 2.52 1.88 2.28 3.02 2.31 2.30 4.80 3.31 1.34 2.15 2.19 $200,000 and over 3.03 1.77 2.60 2.60 1.16 4.27 3.85 7.01 2.52 7.06 2.60 2.76 3.00 1.22 3.87 2.02 1.83 2.12 1.47 1.67 1.64 4.99 5.23 2.44 2.92 1.73 1.77 1.41 1.98 2.43 2.74 6.28 1.41 4.54 2.11 2.04 1.77 1.31 2.40 2.38 2.59 1.68 1.31 1.93 2.72 1.86 1.67 3.86 2.86 0.84 1.89 1.53



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



Survey, Census, or Data Collection Method: Based on the American Community Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site . Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Economic Characteristics, accessed 24 June 2005. See Internet site .



46



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-36. States — Poverty Status of Families and Individuals in the Past 12 Months

Number below poverty in the past 12 months (1,000) Geographic area 2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,143 164 13 166 89 849 88 58 12 21 422 234 21 35 265 119 53 51 159 191 26 86 118 224 75 121 133 24 36 47 17 145 70 499 239 13 280 112 88 260 22 121 14 164 712 43 10 126 121 76 101 10 Families 2002 6,952 163 10 145 85 793 79 49 12 18 414 222 23 33 270 123 59 58 143 184 33 85 105 216 73 122 133 25 36 50 15 127 72 487 241 13 273 105 89 258 22 122 17 178 682 46 9 141 128 63 95 10 2001 6,631 157 8 140 85 763 77 47 14 17 391 195 23 33 244 116 54 55 135 173 28 81 102 206 76 109 128 28 31 37 13 138 66 487 231 13 251 109 88 254 23 104 16 174 636 34 12 134 120 70 93 11 2000 6,615 146 11 150 96 832 64 51 14 17 387 206 19 26 262 113 53 43 148 182 22 89 110 196 66 104 118 23 28 34 11 126 64 491 203 14 246 100 84 247 23 123 16 158 639 40 12 124 127 72 75 10 2003 35,846 748 61 839 421 4,610 433 273 69 105 2,174 1,125 132 183 1,389 633 286 284 696 882 133 439 582 1,118 383 553 646 126 182 252 96 704 340 2,501 1,136 71 1,343 546 481 1,296 117 563 81 780 3,508 244 57 642 654 326 554 47 Individuals 2002 34,763 722 48 752 401 4,452 425 249 64 93 2,083 1,053 122 180 1,414 649 316 317 619 815 139 428 554 1,078 415 549 654 129 183 251 79 628 342 2,418 1,143 76 1,314 504 454 1,246 110 563 83 817 3,305 238 51 699 672 302 511 53 2001 33,420 716 44 710 402 4,298 411 242 75 97 1,995 947 124 154 1,351 579 274 295 607 820 132 424 536 1,024 376 513 637 128 170 200 73 653 315 2,452 1,110 74 1,211 518 452 1,270 122 524 84 797 3,093 190 61 647 627 300 510 54 2000 33,311 672 55 780 439 4,520 363 254 70 94 1,987 999 103 144 1,335 592 281 247 640 862 124 477 586 975 328 498 606 117 158 194 63 651 320 2,391 1,018 71 1,216 459 439 1,240 108 557 83 745 3,056 192 63 630 667 327 461 55 2003 9.8 13.7 8.0 11.9 12.1 10.5 7.3 6.4 5.8 18.5 9.7 10.8 7.4 9.8 8.5 7.5 6.9 7.1 14.2 16.6 7.6 6.1 7.5 8.6 5.6 16.4 8.6 9.9 8.2 8.7 5.1 6.6 14.8 10.7 10.7 8.4 9.4 12.4 9.7 8.2 8.2 11.3 7.2 10.6 13.1 7.6 6.4 6.6 7.9 15.5 7.2 7.3 Percent below poverty in the past 12 months Families 2002 9.6 13.3 6.1 10.5 11.5 10.0 6.7 5.5 5.8 15.7 9.6 10.5 7.9 9.6 8.7 7.7 7.7 8.3 12.8 16.1 9.1 6.1 6.6 8.4 5.5 16.1 8.8 10.4 7.9 9.5 4.6 5.8 15.6 10.6 11.0 8.1 9.2 11.4 9.9 8.1 8.1 11.3 8.7 11.6 12.8 7.9 5.4 7.5 8.4 13.2 6.7 7.6 2001 9.2 13.0 5.4 10.7 11.8 9.7 6.8 5.3 7.1 16.2 9.3 9.2 7.9 9.4 8.0 7.3 7.0 7.9 12.3 15.2 7.9 6.0 6.5 7.9 5.7 14.9 8.5 11.6 7.1 7.2 4.1 6.4 14.3 10.5 10.5 8.1 8.5 12.2 9.7 8.0 9.0 9.9 8.3 11.2 12.1 6.2 7.5 7.2 8.0 14.3 6.8 8.3 2000 9.3 12.4 6.8 11.6 13.0 10.7 5.7 5.8 6.7 15.4 9.3 10.0 6.8 7.7 8.6 7.1 7.0 6.2 13.5 16.0 6.6 6.6 7.1 7.7 5.1 14.2 7.7 9.5 6.5 6.9 3.5 6.0 14.2 10.7 9.6 8.1 8.4 11.0 9.5 7.8 8.5 11.7 8.4 10.5 12.3 7.2 7.5 6.8 8.6 14.7 5.6 7.9 2003 12.7 17.1 9.7 15.4 16.0 13.4 9.8 8.1 8.7 19.9 13.1 13.4 10.9 13.8 11.3 10.6 10.1 10.8 17.4 20.3 10.5 8.2 9.4 11.4 7.8 19.9 11.7 14.2 10.8 11.5 7.7 8.4 18.6 13.5 14.0 11.7 12.1 16.1 13.9 10.9 11.3 14.1 11.1 13.8 16.3 10.6 9.7 9.0 11.0 18.5 10.5 9.7 Individuals 2002 12.4 16.6 7.7 14.2 15.3 13.0 9.7 7.5 8.2 17.5 12.8 12.7 10.1 13.8 11.6 10.9 11.2 12.1 15.6 18.8 11.1 8.1 8.9 11.0 8.5 19.9 11.9 14.6 11.0 11.8 6.4 7.5 18.9 13.1 14.2 12.5 11.9 15.0 13.2 10.5 10.7 14.2 11.4 14.5 15.6 10.5 8.5 9.9 11.4 17.2 9.7 11.0 2001 12.1 16.5 7.2 13.7 15.4 12.8 9.6 7.3 9.8 18.1 12.5 11.7 10.4 12.0 11.2 9.8 9.7 11.3 15.4 19.1 10.6 8.1 8.7 10.6 7.8 18.6 11.7 14.6 10.3 9.7 6.0 7.9 17.7 13.4 14.1 12.1 11.0 15.5 13.4 10.7 12.0 13.4 11.6 14.3 15.0 8.6 10.4 9.3 10.8 17.2 9.8 11.4 2000 12.2 15.6 9.1 15.6 17.0 13.7 8.7 7.7 9.3 17.5 12.8 12.6 8.8 11.4 11.1 10.1 10.0 9.5 16.4 20.0 10.1 9.3 9.6 10.1 6.9 18.2 11.2 13.4 9.6 9.9 5.3 7.9 18.0 13.1 13.1 11.6 11.1 13.8 13.2 10.5 10.7 14.4 11.5 13.5 15.1 8.8 10.7 9.2 11.6 18.6 8.9 11.4



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



Survey, Census, or Data Collection Method: Based on the American Community Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site . Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Economic Characteristics, accessed 24 June 2005. See Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



47



Table A-37. States — Housing—Units and Characteristics

Total housing units (1,000) Total units Geographic area Units in structure, percent 1-unit 19902 detached 102,262 1,670 233 1,659 1,001 11,183 1,477 1,321 290 278 6,100 2,638 390 413 4,506 2,246 1,144 1,044 1,507 1,716 587 1,892 2,473 3,848 1,849 1,010 2,199 361 661 519 504 3,075 632 7,227 2,818 276 4,372 1,406 1,194 4,938 415 1,424 292 2,026 7,009 598 271 2,497 2,032 781 2,056 203 60.9 67.4 59.1 59.2 71.3 57.1 63.8 57.7 56.2 12.5 52.9 65.7 52.4 71.4 58.5 71.2 74.6 72.1 66.5 64.0 67.1 52.5 53.5 70.9 69.7 69.8 69.9 69.0 72.4 55.6 63.6 54.1 61.8 41.0 63.6 63.1 68.5 72.2 62.6 56.7 53.9 60.8 66.5 68.5 64.3 68.3 64.9 61.3 61.8 67.8 65.5 65.6 1-unit attached 5.6 1.7 7.6 5.4 2.1 7.1 6.3 6.1 13.0 26.7 5.8 2.4 5.6 2.3 5.3 3.3 2.6 3.1 2.3 4.1 2.2 20.4 4.6 4.6 6.3 1.2 3.4 2.8 3.4 4.2 5.1 9.3 4.1 4.9 2.7 4.2 4.3 2.0 4.0 18.4 3.0 2.3 2.6 2.5 2.6 5.4 3.1 10.2 2.9 1.8 3.3 3.2 Mobile home 7.2 14.3 7.6 13.1 12.6 4.4 5.4 1.0 11.2 0.1 10.8 11.7 0.2 11.6 2.9 6.6 4.8 5.0 14.7 12.6 10.2 1.9 1.0 6.2 3.5 14.5 7.1 13.5 4.9 7.9 6.3 0.9 18.7 2.6 17.6 7.3 4.1 9.4 9.1 4.7 1.4 17.9 11.2 9.1 8.0 4.5 7.0 6.4 7.7 17.5 6.1 15.2 Year built, percent 1990 or later 20.8 24.9 23.2 36.1 26.6 16.5 27.5 10.4 25.1 4.2 28.0 35.2 19.1 28.9 15.7 22.0 13.3 16.4 27.4 18.2 16.3 20.4 9.9 17.7 18.4 27.5 20.9 18.4 16.2 43.9 14.6 13.2 24.3 8.4 31.8 14.5 16.3 16.4 24.1 11.9 9.5 32.3 18.8 26.5 26.2 31.5 15.0 24.6 25.9 19.0 19.4 16.5 1970 to 1989 32.3 36.6 56.9 43.6 35.5 35.3 38.0 28.3 31.1 11.9 45.9 35.0 42.8 35.1 24.9 26.0 25.1 30.6 32.6 39.5 28.4 32.0 22.7 25.5 30.2 38.2 29.9 34.7 27.9 39.1 38.4 25.0 39.9 18.7 35.5 36.0 23.9 39.4 34.6 21.5 23.2 37.1 31.1 34.1 40.9 35.6 34.5 36.5 34.5 30.4 26.5 44.4 Prior to 1950 22.1 13.2 4.7 3.9 13.4 17.4 13.1 32.9 17.0 55.2 5.7 10.3 9.3 16.0 32.1 28.2 39.6 27.6 17.5 15.0 37.3 20.7 43.3 28.7 28.9 10.8 23.7 24.1 31.8 3.6 27.5 30.2 12.4 43.8 12.1 25.5 30.6 17.8 20.1 41.7 44.0 10.4 29.3 15.1 10.2 12.3 35.0 14.8 18.5 27.6 30.2 19.0 Total units (1,000) 108,420 1,743 229 2,049 1,076 11,857 1,821 1,323 304 247 6,638 3,153 419 503 4,625 2,351 1,158 1,059 1,607 1,673 535 2,048 2,436 3,884 2,012 1,056 2,285 366 675 834 493 3,123 698 7,119 3,271 254 4,480 1,341 1,409 4,801 412 1,568 299 2,296 7,635 752 242 2,790 2,382 732 2,159 199 Characteristics, 2003 Occupied units Vehicles available, percent 3 or more 19.2 22.1 19.4 16.4 19.5 21.4 24.0 19.8 19.5 4.0 13.9 21.1 17.8 29.9 16.8 22.5 25.5 24.1 19.4 14.6 20.1 20.6 15.0 19.3 22.2 21.1 21.2 27.1 24.8 16.9 23.4 16.9 21.9 11.7 22.5 28.1 20.9 19.3 21.7 16.1 17.2 20.2 28.2 22.3 17.3 27.5 20.0 23.8 23.5 18.7 20.6 29.6 House heating fuel, percent Utility gas 50.8 37.6 48.2 35.9 49.2 69.2 75.4 29.4 37.5 65.3 5.3 48.2 2.5 47.0 81.7 61.1 67.0 70.6 40.9 42.8 3.9 47.3 44.1 77.7 68.4 38.7 57.4 54.9 68.0 57.8 18.1 69.8 67.4 49.5 23.3 42.5 68.7 60.7 40.5 54.0 47.7 26.1 53.8 36.5 42.3 85.8 13.5 34.9 32.4 43.5 64.1 62.7 Electricity 31.3 47.9 10.6 58.0 35.8 21.2 16.4 16.1 27.9 27.4 89.5 37.9 32.7 30.4 11.7 24.1 13.7 18.1 43.6 51.7 4.8 33.3 13.6 7.4 11.6 41.6 25.5 16.9 21.2 33.4 8.4 10.0 14.7 8.3 50.6 29.5 18.2 27.4 44.8 16.2 7.2 61.8 20.8 53.9 51.5 9.6 4.5 45.6 52.5 36.2 12.7 21.2



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122,672 2,059 272 2,458 1,233 12,805 2,011 1,414 367 277 8,009 3,673 483 579 5,094 2,691 1,293 1,185 1,843 1,920 677 2,250 2,672 4,433 2,213 1,221 2,564 423 758 976 576 3,415 826 7,819 3,860 301 4,967 1,573 1,535 5,386 446 1,891 343 2,595 8,847 849 304 3,117 2,607 867 2,464 233



20001 115,905 1,964 261 2,189 1,173 12,215 1,808 1,386 343 275 7,303 3,282 461 528 4,886 2,532 1,233 1,131 1,751 1,847 652 2,145 2,622 4,235 2,066 1,162 2,442 413 723 827 547 3,310 781 7,679 3,522 290 4,783 1,514 1,453 5,250 440 1,754 323 2,439 8,158 769 294 2,904 2,451 845 2,321 224



None 9.0 6.8 9.9 7.2 8.1 7.8 5.2 8.7 6.5 37.5 7.0 7.4 9.4 3.2 10.2 6.9 5.4 4.9 7.7 10.5 6.4 9.6 10.6 7.0 6.1 7.7 6.6 4.3 5.8 7.4 4.4 11.1 6.6 28.2 6.7 4.6 7.3 5.7 7.2 11.7 7.9 8.0 4.9 6.6 6.5 3.5 5.8 6.4 6.7 9.6 6.7 3.0



1 33.3 32.9 32.3 38.6 33.1 32.5 29.9 32.8 32.8 42.2 40.5 32.3 36.5 24.7 35.0 31.4 28.8 30.9 32.5 37.1 31.9 32.6 36.0 33.1 30.0 32.9 31.4 28.9 30.1 36.9 28.6 33.2 34.3 32.5 31.7 30.2 32.6 34.6 31.7 34.6 35.7 34.1 26.3 31.3 34.8 26.9 32.1 30.4 30.8 34.0 32.3 27.9



2 38.4 38.3 38.3 37.8 39.3 38.3 40.9 38.8 41.2 16.4 38.7 39.3 36.3 42.3 38.0 39.3 40.3 40.2 40.5 37.8 41.7 37.2 38.4 40.7 41.7 38.4 40.8 39.7 39.4 38.9 43.7 38.8 37.3 27.6 39.2 37.1 39.2 40.5 39.4 37.6 39.2 37.7 40.7 39.8 41.5 42.2 42.2 39.5 39.0 37.8 40.3 39.5



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



1 The April 1, 2000, Housing Unit Estimates base reflects modifications to the Census 2000 housing units as documented in the Count Question Resolution program and geographic program revisions. 2 The April 1, 1990, census counts include corrections processed through December 1996, results of post-1990 census corrections of political boundaries, geographic misallocations, or documented undernumerations or overenumerations and geographic boundary updates.



Survey, Census, or Data Collection Method: Housing units—Based on the Census of Population and Housing; for information, see Appendix B, Limitations of the Data and Methodology, and Internet sites and ; Characteristics—Based on the American Community Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site . Sources: Housing units—U.S. Census Bureau, ‘‘Table 1: Annual Estimates of Housing Units for the United States and States: April 1, 2000 to July 1, 2004’’ (HU-EST2004-01), published 21 July 2005, Internet site ; and ‘‘Housing Units, Households, Households by Age of Householder, and Persons per Household: April 1, 1990’’ (ST98-47), published 8 December 1999, Internet site ; Characteristics—U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Housing Characteristics, accessed 24 June 2005, see Internet site .



48



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-38. States — Specified Owner- and Renter-Occupied Units—Value and Gross



Rent

Specified owner-occupied units1 Median value in constant (2003) dollars ($1,000) Total units, 2003 (1,000) United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,809 947 112 1,165 556 5,921 1,062 765 185 76 3,508 1,745 185 284 2,563 1,419 688 611 812 892 267 1,255 1,259 2,417 1,259 560 1,256 173 389 433 280 1,795 363 2,804 1,678 129 2,727 749 709 3,002 212 818 146 1,281 4,179 488 111 1,632 1,254 387 1,193 105 Value in 2003, percent Total units, 2003 (1,000) 35,545 484 85 646 337 4,941 532 427 82 143 1,971 989 181 125 1,438 646 293 322 459 546 154 623 862 977 455 309 656 107 209 317 132 1,039 211 3,243 1,020 80 1,314 421 509 1,334 151 466 87 688 2,695 201 67 841 845 186 646 53 Specified renter-occupied units2 Median gross rent in constant (2003) dollars Less than $300 8.4 15.8 3.7 5.6 11.9 4.0 5.8 8.4 8.8 11.4 7.0 8.0 5.4 10.2 7.3 7.8 13.9 12.3 16.3 13.5 16.0 7.2 12.2 10.8 12.8 15.8 9.7 15.7 12.4 2.9 7.3 7.0 12.1 8.4 9.4 19.2 9.5 10.6 6.9 10.4 11.5 11.1 17.3 12.7 6.9 5.3 12.2 6.9 6.1 21.7 8.6 12.1 Gross rent in 2003, percent3



Geographic area



2003 147 96 174 146 84 334 210 226 166 248 145 141 325 118 161 107 91 100 104 99 135 186 310 141 170 85 109 119 101 170 208 246 119 199 125 82 119 86 171 110 205 121 97 110 99 157 138 162 200 86 132 116



2002 140 96 166 140 81 282 204 201 148 217 131 134 298 118 151 103 90 96 100 97 124 170 255 136 159 81 105 109 96 161 178 215 119 180 124 82 116 82 164 105 169 119 92 109 97 155 133 149 193 84 125 113



Less than $100,000– $200,000– $300,000 2000 $100,000 $199,999 $299,999 and over 129 92 155 130 78 230 180 179 143 178 115 121 307 112 139 101 85 90 94 90 110 157 206 125 132 81 97 106 92 150 148 185 113 161 115 79 110 79 160 101 147 111 88 103 89 154 123 135 181 78 117 105 29.6 52.8 13.2 20.5 63.1 5.1 4.3 4.7 14.5 9.1 26.4 28.0 6.2 35.4 27.8 45.5 56.6 49.9 47.5 50.6 31.6 16.6 3.5 28.6 20.0 61.3 45.2 38.8 49.6 9.3 9.3 8.1 38.1 26.9 34.9 64.3 37.8 63.3 9.2 45.0 4.6 37.4 52.7 43.8 50.6 11.2 27.3 25.2 9.1 62.0 29.9 38.5 36.9 35.0 50.9 52.2 28.5 17.8 41.1 37.4 49.6 31.5 44.4 45.9 16.0 49.0 35.5 43.1 34.5 37.0 39.6 37.0 43.0 38.1 19.9 45.5 44.3 30.3 39.8 45.7 39.8 54.3 37.4 28.4 45.6 23.3 44.9 30.6 45.4 30.2 54.7 37.0 43.4 41.0 38.3 40.4 34.8 60.8 49.3 35.2 40.8 30.5 49.7 44.7 15.0 7.1 25.3 15.2 5.2 20.3 31.9 24.0 20.6 15.5 15.7 14.0 21.8 10.4 18.6 7.2 6.3 8.5 8.5 7.2 15.0 20.6 24.3 14.8 21.8 6.1 8.9 10.7 6.5 20.4 30.5 23.4 9.4 16.5 11.8 3.9 11.1 4.3 22.1 10.2 27.6 11.4 6.3 10.0 8.4 18.5 15.6 16.8 26.3 4.8 13.6 7.3 18.6 5.2 10.7 12.2 3.3 56.8 22.6 33.9 15.2 44.0 13.5 12.1 56.1 5.2 18.2 4.2 2.7 4.7 4.6 5.3 10.4 24.7 52.3 11.1 13.9 2.3 6.1 4.8 4.0 16.1 22.8 40.0 7.0 33.3 8.4 1.2 5.8 2.2 14.0 7.8 24.5 10.3 2.7 5.8 6.2 9.5 7.8 22.8 23.7 2.7 6.8 9.5



2003 679 498 780 662 513 890 754 766 718 721 724 687 863 565 699 581 531 535 491 525 562 817 820 608 657 525 556 506 540 771 780 856 523 770 601 456 575 519 657 602 686 586 490 548 639 632 624 751 734 432 595 494



2002 668 497 771 670 511 856 742 741 692 705 714 675 849 540 680 558 507 554 487 503 558 752 813 594 663 524 548 488 545 778 744 824 538 739 602 443 568 515 677 587 636 577 494 550 642 679 616 722 725 459 592 485



2000 649 472 734 675 500 815 727 734 694 677 699 676 876 510 660 556 507 534 478 516 523 734 763 584 612 486 523 478 525 744 703 813 511 728 592 463 543 493 659 551 594 576 456 551 616 639 578 692 697 431 574 476



$300– $499 17.6 34.6 11.4 16.7 35.0 8.5 9.6 9.4 12.4 10.2 12.3 18.4 6.8 29.5 15.6 24.8 29.2 31.4 35.7 31.9 25.0 8.7 9.6 20.5 16.2 29.4 28.8 33.1 29.9 9.7 10.0 5.5 32.8 12.4 23.4 41.6 26.1 35.4 14.0 24.7 12.6 24.5 34.8 28.4 20.0 16.3 16.0 15.4 12.4 40.1 23.6 39.3



$500– $749 33.0 34.8 30.5 41.7 40.9 22.7 34.0 30.1 33.7 31.7 34.6 31.6 24.3 40.3 34.0 45.0 39.8 34.3 34.5 37.0 35.0 25.7 21.0 41.0 33.2 38.4 39.7 37.6 37.8 33.9 28.7 22.5 36.8 26.8 41.9 31.3 40.9 37.1 44.4 35.6 36.1 41.1 35.4 38.2 39.6 46.1 40.6 27.6 33.8 28.8 42.5 31.4



$750 or more 41.0 14.7 54.4 36.0 12.3 64.8 50.6 52.1 45.1 46.7 46.0 42.0 63.5 20.0 43.0 22.4 17.1 22.0 13.5 17.6 24.0 58.5 57.1 27.7 37.9 16.4 21.8 13.6 19.9 53.5 53.9 65.0 18.3 52.4 25.4 7.9 23.6 16.8 34.7 29.4 39.8 23.2 12.4 20.7 33.6 32.3 31.1 50.2 47.7 9.5 25.4 17.2



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1 2 3



. . . . . .



Specified owner-occupied units are owner-occupied, one-family, attached and detached houses on less than 10 acres without a business or medical office on the property. Specified renter-occupied units include all renter-occupied units except 1-unit attached or detached houses on 10 acres or more. For units with cash rent.



Survey, Census, or Data Collection Method: Based on the American Community Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site . Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Housing Characteristics, accessed 24 June 2005. See Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



49



Table A-39. States — Housing Starts, Sales, Vacancy Rates, and Ownership

Homeownership rate1 (percent) Geographic area Homeowner3 1.7 2.5 1.8 1.6 2.3 0.9 2.8 0.9 1.4 2.4 1.7 2.2 1.3 1.4 1.7 2.5 2.4 2.8 2.1 1.3 0.8 1.8 0.7 2.2 1.1 1.4 3.1 1.7 1.5 3.2 0.9 0.7 1.6 1.3 2.5 1.5 2.1 2.7 1.7 1.4 0.6 1.9 1.6 2.4 2.2 1.9 0.8 1.0 1.3 1.5 1.5 1.2 2006 estimate 1,614.0 21.1 2.3 60.1 13.6 154.2 37.7 8.5 5.7 0.4 165.4 84.1 6.2 12.8 56.6 38.8 14.1 13.8 20.5 17.7 6.5 27.0 16.0 50.7 37.1 12.9 27.5 2.8 9.7 35.0 6.6 26.1 10.1 37.5 70.2 3.3 48.8 14.2 20.0 39.0 2.4 32.3 4.8 34.3 149.1 19.8 2.6 50.6 38.2 5.4 35.8 2.3 2005 estimate 1,658.0 20.9 2.3 61.9 13.6 165.0 36.8 8.5 5.9 0.4 173.6 86.1 6.5 13.1 58.5 39.4 14.6 13.8 20.4 18.0 6.8 27.1 16.0 51.7 39.0 12.8 27.5 2.9 10.0 36.1 7.0 26.5 10.3 38.8 71.1 3.4 49.7 14.3 19.6 39.4 2.4 33.4 4.9 34.2 154.9 19.9 2.7 51.8 38.3 5.4 36.7 2.2 2004 estimate 1,724.0 20.8 2.3 64.4 13.8 177.7 35.9 8.6 6.2 0.4 185.7 89.3 6.8 13.5 61.5 40.4 15.3 14.0 20.4 18.7 7.3 27.4 16.2 53.4 41.7 12.8 27.7 2.9 10.5 37.8 7.4 27.2 10.6 41.0 72.8 3.6 51.2 14.6 19.2 40.4 2.4 35.1 5.2 34.3 163.3 20.2 2.8 53.4 38.8 5.4 38.1 2.2 Vacancy rates, 2004 (percent) Existing home sales (1,000) Housing starts (1,000)



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.0 78.0 67.2 68.7 69.1 59.7 71.1 71.7 77.3 45.6 72.2 70.9 60.6 73.7 72.7 75.8 73.2 69.9 73.3 70.6 74.7 72.1 63.8 77.1 76.4 74.0 72.4 72.4 71.2 65.7 73.3 68.8 71.5 54.8 69.8 70.0 73.1 71.1 69.0 74.9 61.5 76.2 68.5 71.6 65.5 74.9 72.0 73.4 66.0 80.3 73.3 72.8



2000 67.4 73.2 66.4 68.0 68.9 57.1 68.3 70.0 72.0 41.9 68.4 69.8 55.2 70.5 67.9 74.9 75.2 69.3 73.4 68.1 76.5 69.9 59.9 77.2 76.1 75.2 74.2 70.2 70.2 64.0 69.2 66.2 73.7 53.4 71.1 70.7 71.3 72.7 65.3 74.7 61.5 76.5 71.2 70.9 63.8 72.7 68.7 73.9 63.6 75.9 71.8 71.0



1990 63.9 68.4 58.4 64.5 67.8 53.8 59.0 67.9 67.7 36.4 65.1 64.3 55.5 69.4 63.0 67.0 70.7 69.0 65.8 67.8 74.2 64.9 58.6 72.3 68.0 69.4 64.0 69.1 67.3 55.8 65.0 65.0 68.6 53.3 69.0 67.2 68.7 70.3 64.4 73.8 58.5 71.4 66.2 68.3 59.7 70.1 72.6 69.8 61.8 72.0 68.3 68.9



Rental2 10.2 14.8 7.0 11.3 13.5 5.4 12.7 8.4 11.0 11.3 11.7 16.3 7.7 9.8 14.8 12.9 9.4 13.6 11.3 7.3 6.8 8.2 6.5 13.0 9.1 12.5 10.3 9.7 9.5 10.6 4.8 6.2 8.1 6.1 13.3 10.4 13.0 13.9 11.8 11.7 6.1 14.7 11.2 10.0 13.9 8.9 4.7 11.4 9.6 10.0 9.1 5.6



2004 6,784.0 112.0 23.0 186.8 60.9 610.1 126.0 72.5 18.9 13.4 526.5 215.8 35.5 32.0 307.5 130.5 71.1 73.4 89.3 79.6 33.6 140.6 141.7 213.4 137.4 58.1 141.8 24.2 39.8 99.8 27.2 188.7 50.6 307.5 192.6 14.5 275.7 93.6 90.7 244.6 19.2 99.3 17.3 156.1 485.5 43.6 14.2 186.0 147.6 36.0 116.8 13.2



2003 6,183.0 93.7 18.4 149.6 53.8 577.6 112.4 63.5 15.8 12.1 476.1 174.0 34.4 27.6 275.1 120.4 62.4 65.3 81.1 76.2 30.7 120.8 118.3 207.4 126.7 51.5 131.1 23.2 38.0 80.9 25.4 174.3 43.3 282.6 156.3 12.9 253.1 85.1 78.3 219.6 16.9 83.0 15.6 128.8 425.4 43.9 14.5 158.3 132.3 28.9 105.9 11.4



2002 5,631.0 82.2 17.2 128.2 52.2 565.1 109.4 64.2 14.5 11.2 429.3 173.9 28.1 25.7 269.0 125.2 58.4 60.0 73.5 71.7 28.8 117.6 115.9 203.5 122.6 48.0 115.2 22.6 34.3 63.5 23.8 166.8 38.9 290.4 142.1 12.3 237.0 79.5 72.1 204.7 17.1 72.7 14.9 112.0 412.4 40.9 13.0 150.1 116.3 28.1 105.5 10.6



2001 5,332.0 70.5 17.5 116.4 48.6 533.7 110.3 65.6 13.1 10.0 392.5 162.5 23.3 28.7 250.5 115.5 55.7 57.3 71.5 70.4 27.5 108.2 110.4 194.0 99.3 44.0 113.5 20.0 32.8 55.3 26.1 157.3 38.5 286.6 132.7 11.6 228.7 77.0 71.3 198.3 18.1 65.4 12.8 105.0 387.7 39.9 11.7 135.8 115.3 25.3 97.9 11.7



2000 5,171.0 67.0 14.3 104.8 45.0 573.5 111.5 61.5 12.9 10.6 393.6 143.6 22.1 24.1 246.8 111.0 53.3 52.6 66.0 66.8 27.6 100.5 112.3 185.0 96.3 38.7 110.2 17.4 32.3 44.6 26.7 160.8 29.9 273.3 134.2 10.8 216.4 67.3 62.6 194.0 17.0 64.3 12.6 100.4 381.8 35.5 12.1 130.0 112.4 22.9 91.6 9.6



2003 1,800.0 21.7 2.5 68.9 14.2 176.7 37.3 9.1 6.4 0.4 197.3 93.6 6.7 14.0 63.8 42.1 15.9 14.2 21.3 19.0 7.3 27.3 16.8 55.6 43.5 13.2 29.1 3.2 10.7 40.2 7.9 27.7 11.4 44.3 76.6 3.7 53.9 15.6 21.6 42.0 2.4 36.9 5.3 35.2 173.4 21.6 2.9 55.2 41.6 5.6 39.4 2.2



2002 1,711.0 20.2 2.8 64.0 12.7 153.9 46.3 8.9 6.2 0.6 177.0 96.2 5.6 13.4 60.8 40.9 15.4 13.7 20.7 18.4 6.8 28.1 16.2 50.9 40.3 12.3 29.0 3.5 9.5 33.8 7.9 27.1 9.9 44.8 77.8 3.2 52.0 14.5 21.3 41.6 2.7 33.5 5.3 34.4 161.5 19.3 2.9 57.8 38.8 5.7 37.9 2.1



2001 1,601.0 19.1 2.6 59.5 10.8 137.4 52.1 8.5 4.9 0.4 161.2 93.2 4.7 11.7 54.4 40.8 12.9 15.1 19.2 16.0 5.6 28.6 15.9 50.9 35.3 11.9 25.1 2.5 8.4 33.4 6.2 25.9 8.1 42.7 80.5 2.6 50.7 12.9 19.7 38.7 2.2 30.0 4.5 33.6 147.4 18.2 2.6 52.7 36.5 4.6 36.8 1.8



2000 1,573.0 21.2 2.0 59.4 12.5 137.1 52.5 8.9 4.4 0.4 147.9 90.4 4.7 11.3 51.3 38.2 12.8 13.4 21.8 15.5 6.3 28.7 17.1 50.4 32.9 14.1 27.4 2.4 9.2 31.0 6.4 31.4 7.3 41.1 76.1 2.4 47.8 14.1 18.8 39.2 2.6 31.6 4.4 34.6 145.0 18.1 2.6 47.5 36.9 5.3 32.6 1.9



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1 2 3



. . . . . .



Proportion of owner households to occupied households. Proportion of the rental inventory that is vacant for rent. Proportion of the homeowner inventory that is vacant for sale.



Survey, Census, or Data Collection Method: Homeownership and vacancy rates—Based on the Current Population Survey/Housing Vacancy Survey (CPS/HVS); for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Home sales—Based on a monthly survey of local associations/boards and multiple listing services (MLS) nationwide; for information, see Internet site ; Housing starts—For information, see Internet site . Sources: Homeownership and vacancy rates—U.S. Census Bureau, ‘‘Housing Vacancies and Home Ownership Annual Statistics: 2004,’’ Internet site (accessed 31 Mar 2005); Home sales—NATIONAL ASSOCIATION OF REALTORS®, Washington, DC, Real Estate Outlook: Market Trends & Insights, monthly (copyright), see Internet site ; Housing starts—National Association of Home Builders, Economics Division, Washington, DC, data provided by the Econometric Forecasting Service.



50



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-40. States — Cost of Living Indicators—Housing, Hospital Stays, Public



University, Utilities, Gasoline, and Tax Rates

Housing prices of single-family homes1 ($1,000) Geographic area 2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211.7 139.9 179.5 169.0 125.0 399.9 234.0 289.0 270.0 370.0 185.0 177.5 344.0 150.0 227.0 120.0 108.0 147.0 144.6 145.4 185.0 290.0 340.0 156.0 218.0 131.9 139.9 164.0 141.9 252.0 255.0 310.0 126.2 243.0 173.5 139.9 180.0 122.5 205.0 190.0 265.0 159.2 147.0 151.2 138.5 183.4 130.0 289.0 232.5 164.9 169.9 149.0 All housing 2003 197.9 127.5 173.1 156.5 122.0 340.0 225.0 250.0 255.0 309.0 161.0 168.0 306.4 138.9 218.0 115.0 105.0 145.0 145.0 140.0 191.0 275.0 295.0 155.5 203.7 126.0 134.9 158.0 143.0 195.0 211.0 292.0 121.5 256.0 167.0 124.0 189.9 117.5 187.0 179.9 238.0 151.0 152.0 145.9 140.8 170.0 164.9 260.0 220.0 176.8 165.0 147.9 2000 162.9 124.5 174.0 140.6 93.0 262.0 202.0 207.0 164.0 243.5 132.4 159.9 248.0 134.5 175.0 120.0 110.0 121.0 135.0 138.0 130.5 211.6 225.5 147.5 154.0 122.0 116.0 126.9 128.0 156.8 165.0 210.0 137.0 192.0 153.0 112.6 144.0 110.0 163.0 134.0 175.0 132.5 138.0 127.0 132.0 164.0 124.9 194.2 190.0 100.0 131.9 137.9 Previously owned 2004 196.0 136.0 171.7 165.0 122.5 406.0 234.0 282.5 214.5 373.0 182.5 172.5 335.0 149.9 220.0 117.0 99.0 140.0 138.0 140.0 179.9 250.0 339.5 154.9 212.5 124.5 136.0 160.0 130.0 248.9 250.0 315.0 125.0 239.0 168.0 130.0 145.0 120.0 206.5 147.0 265.0 157.0 140.0 146.0 134.0 183.6 130.0 260.0 232.9 128.5 161.0 145.0 2003 188.0 125.5 170.0 155.0 120.0 341.0 227.5 247.0 215.0 309.0 159.0 164.8 303.0 137.0 210.0 115.0 97.0 140.0 140.0 135.0 190.0 220.0 292.5 153.0 200.0 114.9 133.0 159.0 133.0 188.0 209.0 291.5 120.0 275.0 160.0 120.0 147.4 115.0 186.0 140.0 235.0 145.0 149.5 140.0 139.0 170.0 163.9 225.0 220.0 128.0 164.7 154.0 2000 155.5 118.1 172.0 135.0 89.3 257.0 198.0 200.0 158.5 245.0 130.0 159.0 225.1 132.9 166.3 115.7 105.0 112.0 132.5 135.0 130.0 190.0 220.0 145.0 150.0 114.0 111.5 123.8 125.0 151.8 160.0 204.0 135.0 189.0 144.4 108.5 135.0 105.4 163.0 126.0 169.0 129.8 136.0 122.5 129.0 164.0 123.5 183.0 189.9 95.0 128.0 135.8 Average costs per full-time–equivalent student in public colleges and universities (dol.) Public 4-year institutions6 2003–2004 10,720 8,983 10,118 10,140 8,349 12,275 9,751 12,772 12,496 (X) 9,207 9,090 8,760 8,091 11,804 11,637 10,878 8,604 8,521 7,494 11,010 13,419 12,250 12,208 10,845 8,547 10,320 9,348 9,620 10,333 13,852 15,109 8,238 12,002 8,805 8,028 13,319 7,901 11,626 13,754 12,763 12,710 8,379 8,936 9,202 7,865 14,766 10,900 11,353 8,751 9,066 8,485 2002–2003 9,787 7,903 9,459 8,728 7,740 10,812 9,150 11,803 11,461 (X) 8,714 8,784 8,184 7,560 10,984 10,595 9,190 7,751 7,673 6,905 10,322 12,283 10,764 11,357 9,957 8,008 9,407 8,941 8,413 8,973 9,416 13,903 7,951 10,916 8,305 7,369 12,216 6,828 10,510 12,899 12,231 11,024 7,682 8,298 8,636 7,367 13,969 9,516 10,723 8,175 8,157 7,977 1999–2000 8,275 6,743 8,346 7,368 6,408 9,179 7,992 10,087 9,875 (X) 7,483 7,308 8,048 6,312 8,998 8,851 7,209 6,312 6,480 5,946 9,089 10,352 9,248 9,506 7,717 6,475 8,180 7,460 7,275 7,802 11,044 11,458 6,608 10,018 6,480 7,008 9,900 5,747 9,062 10,544 10,608 7,709 6,513 6,569 7,512 6,291 12,484 8,618 8,303 7,100 7,273 7,091 Public 2-year institutions7 2003–2004 1,670 2,479 1,943 1,140 1,641 485 1,784 2,307 1,992 (X) 1,576 1,411 1,118 1,658 1,783 2,483 2,686 1,792 2,264 1,285 2,772 2,601 2,725 1,868 3,414 1,392 1,940 2,580 1,678 1,507 4,828 2,443 997 2,949 1,166 2,419 2,793 1,650 2,421 2,514 2,120 2,635 2,812 2,076 1,171 1,946 3,604 1,799 2,230 1,754 2,583 1,613 2002–2003 1,483 2,128 1,789 1,029 1,507 316 1,727 2,008 1,878 (X) 1,493 1,363 1,069 1,541 1,660 2,363 2,555 1,639 1,867 1,062 2,764 2,354 2,347 1,813 2,866 1,453 1,789 2,313 1,566 1,456 4,481 2,315 942 2,728 1,111 2,229 2,595 1,290 1,968 2,384 2,014 2,174 3,166 1,751 1,031 1,804 3,652 1,272 2,097 1,743 2,557 1,561 1999–2000 1,338 1,486 2,028 902 1,068 317 1,553 1,895 1,616 (X) 1,333 1,366 1,051 1,253 1,499 2,125 2,056 1,308 1,321 912 2,592 2,260 1,927 1,741 2,372 971 1,441 1,955 1,369 1,211 3,744 2,155 824 2,554 778 1,891 2,374 1,239 1,587 2,117 1,746 1,343 2,752 1,315 890 1,497 2,846 1,139 1,649 1,592 2,107 1,320



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



51



Table A-40. States — Cost of Living Indicators—Housing, Hospital Stays, Public University, Utilities, Gasoline, and Tax Rates—Con.

Hospital cost per day (dol.) Geographic area Energy expenditures, per capita2, 3 (dol.) Regular gasoline prices4 (dollars per gallon) Residential utility prices



No. 2 heating oil4 (dollars per gallon) 2003 2002 1,290 1,155 1,791 1,465 1,041 1,596 1,505 1,482 1,396 1,748 1,264 1,034 1,204 1,310 1,431 1,278 897 895 1,060 1,116 1,280 1,508 1,538 1,293 1,034 867 1,336 674 934 1,419 1,299 1,499 1,413 1,299 1,144 824 1,426 1,064 1,664 1,204 1,485 1,271 701 1,105 1,400 1,689 986 1,244 1,691 934 1,170 844 2001 1,217 1,009 1,756 1,349 938 1,527 1,363 1,406 1,305 1,745 1,208 1,059 1,147 1,109 1,369 1,222 822 838 1,029 1,072 1,169 1,422 1,493 1,175 971 747 1,264 595 795 1,410 1,218 1,409 1,398 1,196 1,080 822 1,372 994 1,548 1,154 1,371 1,142 638 1,190 1,338 1,473 896 1,154 1,595 892 1,076 756 2000 1,149 980 1,495 1,311 908 1,438 1,280 1,373 1,311 1,512 1,161 978 1,088 1,003 1,278 1,132 740 837 929 1,075 1,148 1,315 1,467 1,211 932 719 1,185 579 743 1,285 1,201 1,299 1,388 1,118 1,061 747 1,198 1,031 1,461 1,080 1,313 1,101 476 1,078 1,274 1,375 888 1,057 1,511 844 1,055 677 2001 2,433 2,592 4,396 2,015 2,726 2,112 2,096 2,348 2,495 2,598 1,933 2,307 2,301 2,378 2,347 2,785 2,784 2,622 2,709 4,036 2,817 2,128 2,495 2,190 2,496 2,609 2,450 2,740 2,567 2,447 2,484 2,372 2,354 2,091 2,301 3,525 2,553 2,937 2,133 2,430 2,185 2,430 2,481 2,402 3,405 1,987 2,709 2,267 2,154 2,385 2,471 4,698 2000 2,499 2,719 4,341 2,059 2,740 2,098 2,020 2,430 2,644 2,675 1,951 2,416 2,174 2,441 2,425 2,801 2,841 2,749 2,809 4,638 2,959 2,227 2,435 2,284 2,485 2,623 2,372 3,162 2,526 2,419 2,611 2,572 2,259 2,243 2,405 3,233 2,611 2,706 2,234 2,482 2,271 2,537 2,585 2,424 3,551 2,042 2,675 2,372 2,236 2,452 2,435 4,541 2004 1.40 1.36 1.69 1.55 1.34 1.62 1.41 1.45 1.41 (D) 1.37 1.36 1.75 1.45 1.41 1.37 1.34 1.35 1.39 1.34 1.46 1.40 1.44 1.40 1.42 1.37 1.35 1.40 1.35 1.61 1.45 1.45 1.43 1.43 1.34 1.45 1.37 1.32 1.51 1.36 1.40 1.36 1.41 1.34 1.33 1.40 1.49 1.36 1.47 1.41 1.42 1.43 2003 1.11 1.04 1.46 1.29 1.05 1.30 1.12 1.15 1.10 (D) 1.07 1.05 1.50 1.17 1.13 1.09 1.07 1.08 1.09 1.03 1.15 1.10 1.16 1.12 1.15 1.08 1.07 1.12 1.07 1.27 1.17 1.16 1.14 1.13 1.03 1.15 1.10 1.04 1.24 1.07 1.12 1.05 1.14 1.04 1.03 1.13 1.18 1.07 1.19 1.11 1.13 1.15 2000 1.07 1.02 1.31 1.11 1.00 1.16 1.08 1.13 1.09 1.08 1.01 0.99 1.29 1.13 1.12 1.07 1.06 1.03 1.06 1.01 1.12 1.04 1.15 1.08 1.13 1.05 1.04 1.13 1.06 1.22 1.14 1.13 1.10 1.09 1.00 1.14 1.07 1.01 1.18 1.03 1.09 1.00 1.14 0.99 0.99 1.06 1.13 1.04 1.15 1.06 1.09 1.12 2004 1.55 (NA) 1.52 (NA) (NA) (NA) (NA) 1.52 1.57 (NA) (NA) (NA) (NA) 1.50 1.41 1.54 (NA) (NA) (NA) (NA) 1.51 1.63 1.56 1.54 1.43 (NA) (NA) (NA) (NA) (NA) 1.50 1.66 (NA) 1.63 (NA) (NA) 1.48 (NA) 1.59 1.49 1.51 (NA) (NA) (NA) (NA) (NA) 1.51 1.46 1.75 1.49 1.47 (NA) 2003 1.36 (NA) 1.24 (NA) (NA) (NA) (NA) 1.36 1.43 (D) (NA) (NA) (NA) 1.19 1.20 1.20 (NA) (NA) (NA) (NA) 1.31 1.46 1.39 1.32 1.22 (NA) (NA) (NA) (NA) (NA) 1.31 1.49 (NA) 1.44 (NA) (NA) 1.28 (NA) 1.30 1.30 1.34 (NA) (NA) (NA) (NA) (NA) 1.31 1.31 1.49 1.30 1.27 (NA) 2000 1.31 (NA) 1.34 (NA) (NA) (NA) (NA) 1.29 1.27 (D) (NA) (NA) (NA) 1.17 1.10 1.21 (NA) (NA) (NA) (NA) 1.30 1.35 1.27 (NA) 1.16 (NA) (NA) (NA) (NA) (NA) 1.28 1.40 (NA) 1.44 (NA) (NA) 1.22 (NA) 1.37 1.22 1.26 (NA) (NA) (NA) (NA) (NA) 1.26 1.27 1.45 1.25 1.17 (NA)



Natural gas (dollars per 1,000 cubic feet) 2004 10.74 13.41 4.88 12.11 11.71 9.93 8.40 14.04 12.16 14.31 18.47 13.75 27.15 9.06 9.43 10.02 (NA) 10.76 11.02 11.21 14.04 12.40 (NA) 8.47 9.56 (NA) 11.04 9.27 9.02 10.05 13.20 11.59 9.50 12.42 12.65 9.03 10.45 10.24 11.10 12.26 13.24 12.46 9.52 10.39 (NA) 8.12 11.03 13.38 (NA) 10.87 10.13 8.56 2003 9.52 11.81 4.39 11.31 10.33 9.13 6.61 12.77 10.53 13.29 16.17 11.86 27.27 7.59 8.65 9.40 9.14 8.95 9.18 10.20 12.77 11.01 12.46 7.31 8.58 9.74 9.49 7.08 7.83 8.96 11.42 8.51 8.41 11.58 11.48 7.25 9.16 8.89 9.84 10.87 11.85 11.02 8.49 9.64 9.22 7.33 10.05 11.84 8.43 8.92 9.27 7.14 2000 7.76 9.19 3.58 9.43 7.43 8.21 6.14 11.43 8.33 10.81 12.93 8.38 21.87 6.28 7.33 6.42 7.81 7.64 7.41 8.34 9.71 9.78 9.91 5.11 7.13 7.49 7.85 6.03 6.43 6.63 10.07 7.28 6.10 9.86 9.53 6.37 7.70 7.37 8.12 8.49 9.83 9.15 7.34 7.49 7.41 6.20 8.13 9.98 7.16 7.46 7.55 6.11



United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



1,379 1,166 1,952 1,570 1,130 1,763 1,551 1,684 1,508 1,824 1,387 1,044 1,350 1,235 1,497 1,352 952 952 1,106 1,177 1,416 1,571 1,631 1,382 1,109 882 1,403 733 1,043 1,608 1,389 1,411 1,563 1,402 1,200 859 1,504 1,177 1,842 1,326 1,591 1,355 747 1,187 1,482 1,654 1,148 1,277 1,827 993 1,282 943



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



52



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-40. States — Cost of Living Indicators—Housing, Hospital Stays, Public University, Utilities, Gasoline, and Tax Rates—Con.

Residential utility prices State individual income tax collections per capita3 (dol.) General sales tax (cents per dollar) State tax rates5



Geographic area



Electric energy (dollars per 1,000 kilowatthours)



Gasoline (cents per gallon)



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.4 75.5 123.9 84.7 74.4 117.8 83.2 116.4 88.0 81.4 89.5 79.4 180.6 60.8 85.1 73.2 90.6 78.2 60.8 80.9 126.3 80.0 118.5 85.5 80.6 81.7 70.6 78.4 69.1 97.0 125.1 112.4 87.8 145.8 84.4 67.7 84.7 76.7 71.2 96.6 121.9 80.5 76.4 68.8 96.0 72.4 130.7 79.9 63.6 62.3 91.0 71.0



2003 87.0 73.9 119.8 83.5 72.4 120.0 81.4 113.1 85.9 76.6 85.5 77.0 167.3 62.4 83.8 70.4 85.7 77.1 58.1 78.4 123.7 77.3 116.8 83.5 76.5 76.0 69.6 75.6 68.7 90.2 119.8 106.9 86.9 143.1 83.2 64.9 82.7 74.7 70.6 95.5 116.2 80.1 74.7 65.5 91.6 69.0 128.2 77.6 63.1 62.4 86.7 70.4



2000 82.4 70.5 114.5 84.4 74.5 108.9 73.1 108.6 85.4 80.3 77.7 76.0 164.1 53.9 88.3 68.7 83.7 76.5 54.7 76.7 124.9 79.5 105.3 85.2 75.2 69.3 70.4 64.9 65.3 72.8 131.5 102.7 83.6 139.7 79.7 64.4 86.1 70.3 58.8 95.3 112.8 75.8 74.2 63.3 79.6 62.9 123.0 75.2 51.3 62.7 75.3 65.0



2004 674 495 (X) 403 612 1,014 742 1,233 941 (X) (X) 774 926 652 640 610 663 700 680 484 881 950 1,376 650 1,119 366 647 653 711 (X) 42 851 529 1,282 849 338 760 658 1,188 590 833 581 (X) 25 (X) 708 692 995 (X) 589 917 (X)



2000 693 466 (X) 447 550 1,168 846 1,167 935 (X) (X) 777 878 746 615 617 646 693 668 354 845 871 1,424 724 1,128 354 635 572 686 (X) 53 856 484 1,222 896 309 726 619 1,198 551 791 610 (X) 32 (X) 740 709 965 (X) 534 1,110 (X) X Not applicable.



2005 (X) 4.000 (X) 5.600 6.000 10, 11 7.250 2.900 6.000 (X) 5.750 6.000 4.000 4.000 6.000 10 6.250 6.000 5.000 5.300 6.000 4.000 5.000 5.000 5.000 6.000 6.500 7.000 4.225 (X) 5.500 6.500 (X) 6.000 5.000 4.250 17 4.500 5.000 6.000 4.500 (X) 6.000 7.000 5.000 4.000 7.000 6.250 4.750 6.000 5.000 6.500 6.000 5.000 10 4.000

11



2004 (X) 4.000 (X) 5.600 5.125 11 7.250 2.900 6.000 (X) 5.750 6.000 4.000 4.000 6.000 6.250 6.000 5.000 5.300 6.000 4.000 5.000 5.000 5.000 6.000 6.500 7.000 4.225 (X) 5.500 6.500 (X) 6.000 5.000 4.250 4.500 5.000 6.000 4.500 (X) 6.000 7.000 5.000 4.000 7.000 6.250 4.750 6.000 4.500 6.500 6.000 5.000 10 4.000

11



2000 (X) 4.000 (X) 5.000 4.625 6.000 3.000 6.000 (X) 5.750 6.000 4.000 4.000 6.250 5.000

8



2005 (X) 18.00 8.00 9 18.00 21.50 18.00 22.00 25.00 23.00 22.50 13 14.50 7.50 16.00 25.00 8, 9 20.10 9 18.00

8 8



2004 (X) 18.00 8.00 9 18.00 21.50 18.00 22.00 25.00 23.00 20.00 13 13.90

12 8



2000 (X) 18.00 8.00 9 18.00 19.70 18.00 22.00 32.00 23.00 20.00 13 13.10

12



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



14 5.000 15



7.50 16.00 26.00 8, 9 19.80 9 18.00

8



7.50 16.00 26.00 8, 9 19.30 9 15.00

8



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



14



5.000 4.900 6.000 4.000 5.500



9, 16



20.50 24.00 17.40 20.00 12 25.20 23.50 21.00 19.00 20.00 18.40 17.03 27.00



9, 16



20.10 24.00 16.40 20.00 12 24.60 23.50 21.00 19.00 20.00 18.40 17.03 27.00



9, 16



20.00 20.00 16.40 20.00 22.00 23.50 21.00 19.00 20.00 18.40 17.05 27.00



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



5.000 5.000 6.000 6.500 7.000 4.225 (X) 5.000 6.500 (X) 6.000 5.000 4.000 4.000 5.000 5.000 4.500 (X) 6.000 7.000

14



16



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



12 26.30 8



23.00 19.50



12 25.70 8



24.00 19.50



12 24.80 8



24.00 18.70 10.50 18.00



14.50 18.90 23.20 16 26.85 21.00 26.00 17.00 24.00 30.00 31.00 16.00



14.50 18.90 22.60 16 24.55 21.00 22.00 17.00 24.00 25.90 31.00 16.00



9, 16 8.00 16



22.25 21.00



8



8



8



22.00 17.00 29.00 25.90 29.00 16.00



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



5.000 4.000 6.000 6.250 4.750



8 22.00 8



21.40 20.00 24.50



8 22.00 8



21.40 20.00 24.50



8 22.00 8



21.40 20.00 24.75



5.000 3.500 6.500 6.000 5.000 10, 14 4.000



14



8, 18



20.00 17.50 28.00 27.00 12 29.10 14.00



8, 18



20.00 17.50 28.00 25.35 12 28.50 14.00



18 20.00 8, 18



17.50 23.00 25.35 12 25.80 14.00



D Data withheld to avoid disclosure of individual company data.

1



NA Not available.



Median price of single-family nonfarm homes. 2Based on total population residing in area. 3Population enumerated as of April 1 for 2000; estimated as of July 1 for all other years. 4 Excludes federal and state taxes. Includes sales of No. 2 fuel oil and high- and low-sulfur diesel fuels. 5As of January 1 of the year shown. 6Costs include in-state tuition and required fees, room, and board. 7Costs include in-state tuition only and do not include room or board 8Does not include local option taxes. 9Carriers pay an additional surcharge equal to: Arizona, 8 cents; Illinois, 6.3 cents; Indiana, 11 cents; Kentucky, 2 percent; New York, 22.21 cents. 10Tax rate may be adjusted annually according to a formula based on balances in the unappropriated general fund and the school foundation fund. 11Includes statewide local tax of 1.25 percent in California and 1.0 percent in Virginia. 12A portion of the rate is adjustable based on maintenance costs, sales volume, or cost of fuel to state government. 13Local taxes for gasoline vary from 9.7 cents to 17.7 cents in 2005 (5.5 cents to 17 cents for all other years), plus a 2.07 cents/gallon pollution tax. 14State taxes food, but allows an (income) tax credit to compensate poor households. 151.25 percent of the tax in Illinois is distributed to local governments. 16Tax rate is based on the average wholesale price and is adjusted quarterly. 17Tax rate scheduled to decrease to 4.0 after June 30, 2005. 18Large trucks pay a higher tax: Vermont, total of 25 cents/gallon; Virginia, additional 3.5 cents. Survey, Census, or Data Collection Method: Housing prices—Based on the Finance Board Monthly Interest Rate Survey (MIRS); for information, see Internet site ; Public university—Based on the Integrated Postsecondary Education Data System (IPEDS) ‘‘Fall Enrollment’’ surveys; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Hospital stays—For information, see Internet site ; Energy expenditures—Based on the State Energy Data System (SEDS); for information, see Technical Notes at Internet site ; Gasoline, heating oil, and natural gas prices—Based on the Oil and Gas Information Retrieval System; for information, see Internet site ; Electric energy prices—Based on Form EIA-861, ‘‘Annual Electric Power Industry Report’’; for information, see Internet site ; State individual income tax—Based on the Annual Survey of State Government Tax Collection; for information, see Internet site ; State tax rates—For information, see Internet site . Sources: Housing prices—Federal Housing Finance Board, ‘‘Monthly Interest Rate Survey’’; see Internet site ; Public university—U.S. National Center for Education Statistics, Digest of Education Statistics 2003, and prior years; see Internet site ; Hospital stays—Health Forum, An American Hospital Association Company, Chicago, IL, Hospital Statistics 2003 edition, and prior years (copyright); Energy expenditures—U.S. Energy Information Administration, State Energy Price and Expenditure Report, annual; see also Internet site ; Gasoline prices—U.S. Energy Information Administration, Petroleum Marketing Annual 2004, and prior years; see also Internet site ; Utility prices—U.S. Energy Information Administration, ‘‘Petroleum Product Prices’’ and ‘‘Natural Gas Prices’’; see Internet site (accessed 12 September 2005); and Electric Power Monthly, March 2005 and Electric Power Annual 2003, and prior years; see also Internet site ; State individual income tax—U.S. Census Bureau, ‘‘State Government Tax Collections’’; see Internet site ; State tax rates—Federation of Tax Administrators, 2005 and previous years; see Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



53



Table A-41. States — Gross State Product in Current and Real (2000) Dollars and by



Selected Large Industry

Current dollars (mil. dol.) Geographic area Chained (2000) dollars1 (mil. dol.)



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,649,827 138,534 33,876 199,660 80,056 1,543,835 199,953 187,086 54,500 75,264 594,525 340,719 50,134 43,351 528,904 227,271 114,269 99,090 135,412 151,993 43,279 226,513 317,684 372,756 225,625 76,205 203,208 27,701 67,891 99,372 52,097 415,891 60,940 899,660 335,398 23,581 418,258 107,236 128,126 468,833 41,921 135,253 29,419 216,939 880,936 82,353 22,114 326,630 259,768 49,774 211,727 24,308



2003 10,923,849 130,792 31,704 183,272 74,540 1,438,134 188,397 174,085 50,486 70,668 553,709 321,199 46,671 40,358 499,731 213,342 102,400 93,263 128,315 144,321 40,829 213,073 297,113 359,440 210,184 71,872 193,828 25,584 65,399 89,711 48,202 394,040 57,078 838,035 315,456 21,597 398,918 101,168 119,973 443,709 39,363 127,963 27,337 203,071 821,943 76,674 20,544 304,116 245,143 46,726 198,096 22,279



2002 10,412,244 123,763 29,741 173,052 71,221 1,363,577 181,246 167,235 46,991 67,176 522,340 307,443 43,806 38,276 486,182 203,296 97,810 89,875 121,633 134,360 39,027 202,840 287,191 347,014 199,271 68,550 187,090 23,913 60,571 82,389 46,106 377,824 53,414 802,866 301,254 20,007 385,657 95,343 115,113 424,820 37,040 122,274 25,826 191,394 775,459 73,646 19,419 288,840 233,971 45,259 189,508 20,326



2001 10,058,156 118,263 27,358 164,263 68,574 1,307,880 177,526 165,434 45,049 63,223 496,861 299,507 41,720 36,571 476,851 195,769 92,891 87,206 116,545 137,567 37,094 192,425 283,422 335,793 190,567 65,725 182,048 22,636 57,771 78,092 44,394 362,336 50,908 797,145 287,281 18,800 374,771 92,609 111,352 407,880 35,489 117,779 24,104 180,232 751,405 70,490 18,656 277,214 225,656 43,512 182,373 19,138



2000 9,749,104 114,204 27,590 157,639 66,176 1,291,113 171,363 160,685 42,359 58,425 470,120 291,014 40,176 35,206 464,257 194,683 90,815 83,427 112,737 134,755 35,662 179,978 276,786 337,185 185,431 64,133 176,443 21,367 55,727 74,797 43,584 343,959 50,419 769,403 274,306 18,076 371,228 89,851 112,964 391,501 33,835 112,831 23,230 174,349 722,832 67,889 17,661 260,257 221,314 41,690 176,244 17,427



1990 5,674,013 71,085 24,987 69,322 38,109 788,322 74,206 98,976 20,118 40,056 257,242 139,526 31,898 17,769 277,241 110,084 55,876 51,274 67,508 93,591 23,343 113,723 158,903 189,748 100,327 38,768 104,097 13,417 33,776 31,820 23,784 214,845 26,871 503,608 140,272 11,480 228,343 57,709 57,275 248,307 21,537 65,710 12,825 94,553 384,136 31,444 11,727 147,026 115,650 28,336 100,313 13,150



2004 10,720,296 126,875 28,983 187,271 72,812 1,438,737 185,169 172,355 49,413 66,871 543,845 314,325 45,370 40,802 485,231 208,434 103,297 89,896 124,079 133,289 39,536 206,375 298,020 345,980 207,793 68,857 185,834 24,654 61,216 90,350 48,550 383,725 56,415 843,084 307,601 21,088 384,049 96,688 121,411 427,825 38,017 124,137 26,774 199,547 803,734 75,098 20,608 299,402 238,286 44,310 194,093 20,736



2003 10,289,220 122,675 28,103 175,536 69,734 1,369,235 178,327 164,137 46,952 64,137 517,855 302,966 42,964 38,849 470,101 201,263 95,569 86,814 120,508 130,733 38,097 198,334 284,286 340,972 198,526 66,646 181,638 23,493 60,672 83,603 45,874 371,806 54,183 801,038 295,897 19,909 375,740 93,750 116,113 415,281 36,547 119,973 25,609 191,186 769,410 71,605 19,562 283,922 229,680 43,158 186,350 19,940



2002 10,009,433 118,205 28,703 167,980 68,060 1,324,277 174,682 160,115 44,545 62,582 497,740 294,780 41,398 37,413 465,826 194,993 93,227 85,765 116,269 130,596 37,110 192,482 278,213 333,714 191,718 65,222 178,589 22,621 57,599 78,167 44,475 363,045 52,506 777,099 286,943 19,037 369,354 91,793 112,943 404,630 35,025 116,437 24,691 183,168 755,448 70,086 18,748 274,458 223,456 42,703 181,153 19,533



2001 9,836,571 115,235 26,432 162,407 66,656 1,288,775 174,187 161,595 43,802 61,087 484,433 292,880 40,532 36,182 465,299 190,876 90,306 84,696 113,530 132,355 36,138 187,245 279,434 328,228 186,611 63,736 177,460 21,838 56,158 75,892 43,691 354,390 50,465 783,183 279,893 18,198 365,791 90,267 110,925 396,814 34,493 114,539 23,544 175,936 734,864 68,666 18,350 270,072 220,096 42,065 177,842 18,417



2000 9,749,104 114,204 27,590 157,639 66,176 1,291,113 171,363 160,685 42,359 58,425 470,120 291,014 40,176 35,206 464,257 194,683 90,815 83,427 112,737 134,755 35,662 179,978 276,786 337,185 185,431 64,133 176,443 21,367 55,727 74,797 43,584 343,959 50,419 769,403 274,306 18,076 371,228 89,851 112,964 391,501 33,835 112,831 23,230 174,349 722,832 67,889 17,661 260,257 221,314 41,690 176,244 17,427



1990 6,939,733 86,582 31,904 81,143 45,066 955,881 91,346 124,587 28,059 55,080 320,500 172,127 41,020 19,550 336,301 131,012 64,503 62,391 81,317 121,745 29,255 145,184 195,734 234,181 121,527 46,664 127,995 16,157 40,271 40,507 27,711 266,565 28,724 624,344 173,593 13,533 274,921 69,977 63,203 305,168 27,243 78,975 14,910 115,483 462,032 38,799 13,762 187,926 145,628 33,210 119,126 15,181



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



54



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-41. States — Gross State Product in Current and Real (2000) Dollars and by Selected Large Industry—Con.

Chained (2000) dollars by industry, 20032 (mil. dol.) Professional and technical services 701,845 7,178 1,045 9,629 2,388 109,048 15,053 12,729 2,849 12,733 31,443 18,786 2,012 2,456 38,107 7,391 2,965 3,862 5,274 6,060 1,713 20,096 27,652 27,130 11,740 2,277 10,405 1,150 2,563 4,259 2,820 30,273 3,585 65,983 13,931 757 20,087 4,361 5,683 27,904 1,949 5,145 627 9,027 49,442 4,383 1,036 29,333 15,402 1,697 7,739 604 Management of companies and enterprises 186,469 831 174 2,352 1,868 22,996 2,228 5,055 2,192 430 6,834 5,705 495 576 10,237 2,273 605 851 1,264 1,982 409 1,100 5,767 7,753 6,536 738 6,255 169 926 1,633 553 8,202 291 22,069 5,965 166 9,150 1,265 2,336 6,467 799 730 232 2,263 10,017 1,538 44 6,293 3,634 291 3,877 55 Health Arts, Accomcare enter- modation and tainment, and social and food assis- recreasertance tion vices 669,330 8,074 1,626 10,887 5,091 75,336 9,753 11,622 2,207 2,867 36,972 16,238 2,871 2,407 28,596 13,395 6,230 5,773 8,771 8,823 3,704 13,972 21,918 22,159 14,666 4,602 12,714 2,048 4,067 4,035 3,494 23,658 3,373 58,539 16,476 1,697 27,581 6,250 8,102 34,674 3,142 6,450 2,063 14,798 44,749 3,835 1,693 14,138 14,308 3,961 14,063 883 95,619 510 244 1,675 347 16,675 2,214 1,468 292 375 8,528 2,004 517 320 4,189 2,608 967 423 679 2,184 313 1,427 2,187 2,815 1,657 717 2,329 324 358 2,281 417 3,094 391 8,448 1,908 110 2,651 448 780 2,996 314 911 248 1,768 4,628 591 157 1,500 1,783 400 1,292 157



Geographic area Construction Manufacturing Wholesale trade 630,977 7,201 655 10,047 4,697 80,081 9,939 9,198 1,756 686 35,292 23,689 1,604 2,098 33,980 10,978 5,830 5,708 7,236 7,300 2,113 11,007 17,492 20,308 14,331 3,613 11,754 1,370 4,118 3,547 3,032 32,041 2,041 43,792 16,834 1,630 23,423 5,123 8,073 24,219 1,946 6,824 1,440 13,158 54,340 3,854 1,064 12,825 14,137 2,147 10,622 786



Total3 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,289,220 122,675 28,103 175,536 69,734 1,369,235 178,327 164,137 46,952 64,137 517,855 302,966 42,964 38,849 470,101 201,263 95,569 86,814 120,508 130,733 38,097 198,334 284,286 340,972 198,526 66,646 181,638 23,493 60,672 83,603 45,874 371,806 54,183 801,038 295,897 19,909 375,740 93,750 116,113 415,281 36,547 119,973 25,609 191,186 769,410 71,605 19,562 283,922 229,680 43,158 186,350 19,940



Transportation and Retail waretrade housing 788,387 11,341 1,758 16,013 5,910 106,886 13,158 11,437 2,368 998 47,401 22,810 3,626 3,507 31,442 14,969 7,293 7,251 9,483 10,803 3,987 15,044 17,493 25,985 14,675 6,576 14,697 2,131 4,530 7,479 4,566 27,472 4,302 48,633 21,793 1,708 30,258 8,367 7,853 31,698 2,750 10,658 2,302 18,125 61,272 6,274 1,806 19,797 18,467 3,962 13,865 1,410 314,238 3,405 2,982 5,134 3,532 33,201 5,465 2,632 537 463 15,891 12,547 1,770 1,059 17,671 6,762 3,215 3,380 5,803 5,099 906 4,350 5,012 8,778 7,025 2,332 7,401 1,026 4,251 2,987 815 11,486 1,456 15,569 7,538 780 11,095 3,203 3,355 13,733 605 2,809 652 9,384 29,302 2,861 408 7,741 6,618 1,401 5,841 1,225



Information 502,439 3,988 859 5,945 3,105 85,449 17,231 6,770 923 4,675 24,598 21,311 1,336 849 20,498 4,938 3,323 7,445 3,293 3,763 1,189 7,887 13,630 10,005 7,436 1,902 9,236 796 2,282 2,255 1,460 18,003 1,691 56,960 9,927 717 11,567 4,189 4,017 17,188 1,488 3,400 740 6,280 38,509 2,938 790 16,566 21,376 1,356 5,952 370



Finance and insurance



Real estate, renting, and leasing



Educational services 77,819 488 82 842 248 8,428 833 2,023 177 1,475 2,958 1,987 384 164 4,012 1,211 684 382 538 889 313 1,983 5,740 1,515 1,275 318 1,764 77 400 143 661 2,812 218 10,090 1,678 72 2,289 424 623 6,540 667 512 143 1,405 3,443 612 316 1,578 999 185 1,185 35



Government



424,053 1,439,998 4,931 1,360 9,238 2,891 53,848 9,657 4,876 1,400 655 26,748 13,379 1,970 2,205 20,298 8,478 3,523 3,381 4,777 5,378 1,600 10,256 12,704 13,544 9,109 2,574 7,933 1,252 2,407 7,283 2,218 13,976 2,125 23,494 11,396 779 13,647 3,590 4,798 16,348 2,010 6,077 961 6,744 32,060 3,628 787 11,958 9,671 1,627 7,457 1,048 21,614 610 25,954 13,386 181,488 14,781 21,082 4,841 201 30,976 42,996 776 7,090 66,223 58,358 20,510 12,943 26,519 14,082 4,918 13,528 37,957 76,418 28,807 10,947 28,844 1,228 7,843 3,069 6,609 43,274 7,090 60,626 68,740 2,121 80,791 11,210 21,433 72,215 3,879 24,816 3,197 35,138 101,342 7,954 3,188 36,375 21,035 5,080 43,631 1,259



856,322 1,244,084 6,593 1,005 14,471 3,165 96,304 12,396 27,122 15,232 3,614 37,311 18,795 2,022 1,610 46,760 12,026 9,932 5,496 5,871 5,242 2,618 14,053 33,237 19,761 20,863 2,945 11,617 1,220 4,984 6,855 3,942 32,519 2,041 138,273 29,123 1,253 27,978 4,854 6,473 31,045 4,907 5,773 4,385 11,776 50,625 6,596 1,158 18,888 13,842 1,722 13,634 589 12,469 2,724 21,742 6,229 203,549 24,067 21,101 5,302 5,126 80,302 32,616 7,093 4,232 55,934 19,132 8,645 7,612 10,713 13,223 4,971 29,389 36,949 37,597 22,134 6,207 17,700 2,672 5,067 10,329 6,131 54,945 6,029 99,894 27,789 1,570 38,645 9,125 15,632 48,213 4,646 13,045 1,838 19,663 78,123 8,465 2,291 33,990 33,231 4,053 20,290 1,726



265,216 1,175,255 2,754 786 5,445 1,524 33,804 5,182 2,867 693 1,861 18,460 7,384 3,613 901 10,140 4,218 1,859 1,989 2,975 4,015 1,148 5,345 6,634 6,903 4,255 2,822 4,562 791 1,210 12,523 1,341 8,875 1,599 17,396 6,444 496 7,988 2,177 2,795 8,659 1,018 3,818 682 5,783 19,109 1,809 858 6,416 5,569 1,204 3,900 635 18,961 5,494 20,346 8,624 142,909 20,370 13,840 3,765 22,118 59,023 37,223 9,192 5,028 43,868 18,599 10,716 11,523 16,762 16,639 5,175 32,263 23,261 33,496 19,342 11,066 20,094 3,790 8,489 8,051 3,972 35,389 10,091 78,467 35,427 3,014 39,416 15,280 13,841 38,360 4,194 17,606 3,095 22,100 86,102 9,896 2,420 45,912 31,185 7,131 19,488 2,818



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1 2 3



. . . . . .



For chained (2000) dollar estimates, states will not add to U.S. total. As of the June 2005 release, Gross State Product estimates by industry were not available for 2004. Includes industries not shown separately.



Survey, Census, or Data Collection Method: Based on the Regional Economic Information System; for information, see Internet site . Source: Bureau of Economic Analysis, Survey of Current Business, June 2005. Internet site (released 23 June 2005).



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



55



Table A-42. States — Personal Income

Personal income Current dollars (bil. dol.) Geographic area Number (bil. dol.) 2004 prel. United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,672.2 125.9 22.6 163.4 70.8 1,257.0 165.9 159.1 29.8 28.7 547.2 265.3 40.6 37.8 436.7 187.7 90.3 84.3 114.9 124.6 40.3 218.1 268.2 323.1 182.9 71.6 176.1 24.9 54.8 78.0 48.1 359.5 49.8 735.0 249.8 19.9 358.9 99.0 107.7 413.7 36.5 114.1 23.8 177.1 679.7 63.6 20.4 264.7 219.0 47.0 177.2 17.4 2004 prel. 8,970.4 116.8 20.9 151.5 65.7 1,165.8 153.9 147.5 27.6 26.6 507.5 246.1 37.7 35.0 405.0 174.1 83.7 78.2 106.5 115.5 37.3 202.3 248.8 299.7 169.7 66.4 163.4 23.1 50.8 72.3 44.6 333.5 46.2 681.7 231.7 18.5 332.9 91.8 99.9 383.7 33.8 105.8 22.1 164.2 630.4 59.0 18.9 245.4 203.1 43.6 164.3 16.1 Constant (2000) dollars1



Percent distribution Percent change, 2000– 2004 6.51 10.37 11.75 14.30 11.83 5.61 6.58 4.20 13.76 15.11 10.92 6.82 9.33 11.91 1.17 5.33 7.68 4.82 7.79 11.98 12.57 11.18 3.56 1.86 7.40 10.91 6.96 11.44 7.30 17.76 7.75 3.06 14.67 2.82 5.95 14.76 3.85 8.87 3.64 5.17 10.14 7.65 13.49 10.33 6.28 10.06 11.86 11.14 8.11 10.05 7.00 14.60



2003 9,151.7 119.4 21.5 151.9 66.5 1,185.0 157.2 149.8 28.0 27.0 511.6 251.6 38.0 35.4 417.0 178.8 83.4 80.2 109.4 118.2 38.2 206.4 253.6 314.3 172.3 67.6 168.5 23.3 52.4 71.5 45.3 342.0 47.0 693.8 236.4 18.3 344.6 93.7 102.4 394.8 34.5 108.5 22.1 167.4 642.6 59.8 19.1 248.4 203.9 44.5 168.0 16.3



2002 8,869.8 114.7 20.9 145.1 63.5 1,149.2 154.0 147.1 26.7 26.2 492.9 245.0 36.5 34.4 409.1 172.2 81.7 78.3 105.4 114.5 36.6 198.9 249.9 301.8 166.7 64.6 163.1 22.4 49.5 66.9 44.1 334.3 44.9 676.6 229.7 16.9 333.5 90.5 100.3 382.6 33.2 104.6 20.4 160.3 623.9 58.1 18.4 239.8 198.4 43.0 162.9 15.5



2000 8,422.1 105.8 18.7 132.6 58.7 1,103.8 144.4 141.6 24.3 23.1 457.5 230.4 34.5 31.3 400.4 165.3 77.8 74.6 98.8 103.2 33.2 182.0 240.2 294.2 158.0 59.8 152.7 20.7 47.3 61.4 41.4 323.6 40.3 663.0 218.7 16.1 320.5 84.3 96.4 364.8 30.7 98.3 19.4 148.8 593.1 53.6 16.9 220.8 187.9 39.6 153.5 14.1



2003 8,673.7 113.1 20.4 144.0 63.0 1,123.1 149.0 142.0 26.5 25.6 484.9 238.5 36.0 33.6 395.2 169.4 79.0 76.0 103.7 112.1 36.2 195.6 240.4 297.9 163.3 64.1 159.7 22.1 49.7 67.8 42.9 324.2 44.5 657.6 224.0 17.4 326.6 88.8 97.1 374.1 32.7 102.8 20.9 158.7 609.1 56.6 18.1 235.5 193.2 42.1 159.2 15.4



2002 8,565.9 110.8 20.2 140.1 61.4 1,109.8 148.7 142.0 25.8 25.3 476.0 236.6 35.2 33.2 395.1 166.3 78.9 75.6 101.8 110.5 35.3 192.1 241.4 291.4 161.0 62.3 157.5 21.6 47.8 64.6 42.6 322.9 43.4 653.4 221.9 16.4 322.1 87.4 96.8 369.5 32.0 101.1 19.7 154.8 602.5 56.1 17.8 231.6 191.6 41.6 157.3 15.0



2000 8,422.1 105.8 18.7 132.6 58.7 1,103.8 144.4 141.6 24.3 23.1 457.5 230.4 34.5 31.3 400.4 165.3 77.8 74.6 98.8 103.2 33.2 182.0 240.2 294.2 158.0 59.8 152.7 20.7 47.3 61.4 41.4 323.6 40.3 663.0 218.7 16.1 320.5 84.3 96.4 364.8 30.7 98.3 19.4 148.8 593.1 53.6 16.9 220.8 187.9 39.6 153.5 14.1



2004 100.0 1.3 0.2 1.7 0.7 13.0 1.7 1.6 0.3 0.3 5.7 2.7 0.4 0.4 4.5 1.9 0.9 0.9 1.2 1.3 0.4 2.3 2.8 3.3 1.9 0.7 1.8 0.3 0.6 0.8 0.5 3.7 0.5 7.6 2.6 0.2 3.7 1.0 1.1 4.3 0.4 1.2 0.2 1.8 7.0 0.7 0.2 2.7 2.3 0.5 1.8 0.2



2000 100.0 1.3 0.2 1.6 0.7 13.1 1.7 1.7 0.3 0.3 5.4 2.7 0.4 0.4 4.8 2.0 0.9 0.9 1.2 1.2 0.4 2.2 2.9 3.5 1.9 0.7 1.8 0.2 0.6 0.7 0.5 3.8 0.5 7.9 2.6 0.2 3.8 1.0 1.1 4.3 0.4 1.2 0.2 1.8 7.0 0.6 0.2 2.6 2.2 0.5 1.8 0.2



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



56



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-42. States — Personal Income—Con.

Disposable personal income Current dollars (bil. dol.) Geographic area Constant (2000) dollars1 Number (bil. dol.) 2004 prel. United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,634.7 115.1 20.6 148.0 64.6 1,111.4 148.2 135.1 26.5 25.0 496.1 237.4 36.4 34.4 389.2 169.2 82.1 76.0 103.4 114.1 36.2 190.5 232.1 290.4 161.7 66.3 158.9 22.6 49.5 70.5 43.5 315.1 45.5 629.5 224.1 18.4 320.6 89.8 95.5 369.6 32.4 103.7 22.1 164.0 623.5 57.6 18.4 233.3 199.9 43.0 157.8 15.7 2004 prel. 8,008.2 106.8 19.1 137.3 59.9 1,030.8 137.4 125.3 24.6 23.2 460.1 220.2 33.7 31.9 361.0 156.9 76.2 70.5 95.9 105.8 33.6 176.7 215.2 269.3 150.0 61.4 147.4 20.9 45.9 65.3 40.3 292.2 42.2 583.9 207.8 17.1 297.4 83.3 88.6 342.7 30.1 96.2 20.5 152.1 578.2 53.4 17.1 216.4 185.4 39.9 146.4 14.5



2003 8,151.2 108.8 19.6 137.4 60.5 1,045.0 139.8 127.1 24.8 23.5 462.6 224.6 34.1 32.2 370.5 160.7 75.5 72.2 98.1 108.2 34.3 180.2 219.4 282.0 151.7 62.5 151.6 21.1 47.3 64.5 40.8 298.5 42.7 595.8 211.2 16.9 306.8 84.8 90.7 352.2 30.6 98.4 20.5 154.7 587.4 54.1 17.2 218.5 185.0 40.6 149.2 14.7



2002 7,819.9 103.7 18.8 130.1 57.3 1,002.9 135.3 123.2 23.4 22.6 441.3 216.6 32.4 31.1 359.6 153.3 73.5 69.8 93.8 103.9 32.6 171.9 213.7 267.7 145.2 59.1 145.3 20.1 44.2 59.7 39.3 288.4 40.6 574.1 203.4 15.5 293.4 81.3 88.2 338.1 29.2 94.1 18.7 146.8 564.5 52.1 16.4 209.4 178.2 38.9 143.5 13.8



2000 7,187.6 93.7 16.6 115.3 51.9 908.4 122.2 113.9 20.7 19.1 398.2 198.0 30.1 27.2 341.0 144.1 68.5 64.8 86.4 92.0 28.7 153.0 192.8 253.2 134.1 53.9 132.7 18.3 41.3 53.1 35.4 270.0 35.7 548.7 189.0 14.5 275.7 74.3 82.0 314.2 26.3 86.5 17.5 133.5 523.0 46.7 14.6 186.2 161.4 35.3 131.7 12.1



2003 7,725.5 103.2 18.6 130.2 57.4 990.4 132.5 120.5 23.5 22.3 438.4 212.9 32.3 30.5 351.2 152.3 71.6 68.4 93.0 102.5 32.5 170.8 207.9 267.2 143.8 59.2 143.6 20.0 44.9 61.1 38.6 282.9 40.5 564.7 200.2 16.0 290.8 80.4 85.9 333.8 29.0 93.3 19.4 146.6 556.8 51.2 16.3 207.1 175.4 38.4 141.4 13.9



2002 7,551.9 100.2 18.2 125.7 55.4 968.5 130.7 119.0 22.6 21.8 426.2 209.2 31.3 30.0 347.3 148.0 71.0 67.4 90.6 100.3 31.4 166.0 206.3 258.5 140.2 57.1 140.3 19.4 42.7 57.7 37.9 278.5 39.2 554.4 196.4 14.9 283.3 78.5 85.2 326.5 28.2 90.9 18.1 141.8 545.2 50.3 15.8 202.2 172.1 37.6 138.6 13.4



2000 7,187.6 93.7 16.6 115.3 51.9 908.4 122.2 113.9 20.7 19.1 398.2 198.0 30.1 27.2 341.0 144.1 68.5 64.8 86.4 92.0 28.7 153.0 192.8 253.2 134.1 53.9 132.7 18.3 41.3 53.1 35.4 270.0 35.7 548.7 189.0 14.5 275.7 74.3 82.0 314.2 26.3 86.5 17.5 133.5 523.0 46.7 14.6 186.2 161.4 35.3 131.7 12.1



Percent change, 2000– 2004 11.42 13.96 15.31 19.02 15.37 13.47 12.50 9.99 18.87 21.66 15.55 11.23 12.05 17.13 5.86 8.93 11.18 8.92 10.91 15.03 17.00 15.52 11.61 6.36 11.81 13.92 11.03 14.43 11.18 23.01 13.77 8.25 18.45 6.41 9.94 17.94 7.85 12.10 8.04 9.09 14.18 11.22 17.26 13.94 10.56 14.54 16.64 16.20 14.83 12.90 11.16 20.20



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



1 Constant dollar estimates are computed by the U.S. Census Bureau using the national implicit price deflator for personal consumption expenditures from the Bureau of Economic Analysis. Any regional differences in the rate of inflation are not reflected in these constant dollar estimates.



Survey, Census, or Data Collection Method: Based on the Regional Economic Information System. For more information, see ‘‘State Personal Income Methodologies’’ at . Source: Except as noted, U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005. See also (released 28 March 2005).



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



57



Table A-43. States — Personal Income Per Capita

Personal income per capita Current dollars Geographic area Income rank 2004 prel. United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,937 27,795 34,454 28,442 25,725 35,019 36,063 45,398 35,861 51,803 31,455 30,051 32,160 27,098 34,351 30,094 30,560 30,811 27,709 27,581 30,566 39,247 41,801 31,954 35,861 24,650 30,608 26,857 31,339 33,405 37,040 41,332 26,191 38,228 29,246 31,398 31,322 28,089 29,971 33,348 33,733 27,172 30,856 30,005 30,222 26,606 32,770 35,477 35,299 25,872 32,157 34,306 2003 31,472 26,505 33,213 27,232 24,384 33,415 34,561 42,972 34,199 48,446 30,098 29,000 30,441 25,902 32,965 28,838 28,340 29,438 26,575 26,312 29,164 37,446 39,504 31,178 34,031 23,466 29,464 25,406 30,179 31,910 35,140 39,577 24,995 36,112 28,071 28,922 30,129 26,719 28,734 31,911 32,038 26,144 28,856 28,641 29,074 25,407 30,888 33,730 33,254 24,542 30,685 32,433 2002 30,804 25,595 32,582 26,680 23,470 32,845 34,228 42,521 33,085 46,407 29,549 28,689 29,552 25,597 32,510 27,960 27,854 28,850 25,777 25,565 28,177 36,557 38,973 30,048 33,180 22,511 28,719 24,557 28,672 30,855 34,543 38,979 24,228 35,330 27,640 26,742 29,230 25,958 28,464 31,034 31,042 25,485 26,865 27,678 28,721 25,041 29,855 32,964 32,696 23,841 29,937 31,122 2001 30,575 24,714 31,704 26,214 23,018 32,877 34,491 42,920 32,097 44,827 29,268 28,675 28,745 25,018 32,532 27,397 27,103 28,714 24,914 24,685 27,286 35,628 38,949 29,940 32,609 21,950 27,813 24,672 28,684 30,721 33,850 39,142 24,088 35,622 27,493 25,876 28,594 26,009 28,502 30,275 30,680 24,985 26,944 26,864 29,044 24,809 28,944 32,534 32,289 23,256 29,392 30,301 2000 29,845 23,764 29,867 25,660 21,925 32,464 33,370 41,489 30,869 40,456 28,509 27,989 28,422 24,075 32,185 27,132 26,554 27,694 24,412 23,078 25,969 34,257 37,756 29,552 32,017 21,005 27,241 22,929 27,625 30,437 33,396 38,365 22,135 34,897 27,068 25,106 28,207 24,407 28,097 29,695 29,214 24,424 25,720 26,097 28,313 23,878 27,680 31,087 31,779 21,900 28,570 28,460 2004 prel. 30,547 25,778 31,954 26,378 23,858 32,478 33,446 42,104 33,259 48,044 29,173 27,870 29,826 25,132 31,858 27,910 28,342 28,575 25,698 25,580 28,348 36,399 38,768 29,635 33,259 22,861 28,387 24,908 29,065 30,981 34,352 38,333 24,291 35,454 27,124 29,120 29,049 26,051 27,796 30,928 31,285 25,200 28,617 27,828 28,029 24,675 30,392 32,903 32,738 23,995 29,824 31,817 2003 29,828 25,121 31,478 25,810 23,110 31,670 32,756 40,728 32,413 45,916 28,526 27,485 28,851 24,549 31,243 27,332 26,860 27,900 25,187 24,938 27,641 35,490 37,441 29,550 32,254 22,240 27,925 24,079 28,603 30,243 33,305 37,510 23,689 34,226 26,605 27,411 28,555 25,323 27,233 30,244 30,365 24,778 27,349 27,145 27,555 24,080 29,275 31,968 31,517 23,260 29,082 30,739 2002 29,749 24,718 31,466 25,766 22,666 31,720 33,055 41,064 31,951 44,817 28,537 27,706 28,539 24,720 31,396 27,002 26,900 27,861 24,894 24,689 27,212 35,304 37,638 29,018 32,043 21,740 27,735 23,716 27,690 29,798 33,359 37,643 23,398 34,119 26,693 25,826 28,228 25,069 27,489 29,971 29,978 24,612 25,944 26,730 27,737 24,183 28,832 31,835 31,576 23,024 28,911 30,056 2001 29,948 24,207 31,054 25,676 22,546 32,203 33,784 42,040 31,439 43,908 28,668 28,087 28,155 24,505 31,865 26,835 26,547 28,125 24,403 24,179 26,726 34,897 38,150 29,326 31,940 21,500 27,243 24,166 28,096 30,091 33,156 38,339 23,594 34,891 26,929 25,345 28,008 25,476 27,917 29,654 30,051 24,473 26,391 26,313 28,448 24,300 28,350 31,867 31,627 22,779 28,789 29,680 2000 29,845 23,764 29,867 25,660 21,925 32,464 33,370 41,489 30,869 40,456 28,509 27,989 28,422 24,075 32,185 27,132 26,554 27,694 24,412 23,078 25,969 34,257 37,756 29,552 32,017 21,005 27,241 22,929 27,625 30,437 33,396 38,365 22,135 34,897 27,068 25,106 28,207 24,407 28,097 29,695 29,214 24,424 25,720 26,097 28,313 23,878 27,680 31,087 31,779 21,900 28,570 28,460 2004 (X) 40 13 38 49 12 7 1 8 (X) 23 34 20 44 14 33 31 28 41 42 30 4 2 22 9 50 29 45 25 17 6 3 47 5 37 24 26 39 36 18 16 43 27 35 32 46 19 10 11 48 21 15 2000 (X) 44 15 37 48 8 7 1 13 (X) 20 26 22 42 9 31 33 27 40 45 35 5 3 17 10 50 30 46 29 14 6 2 47 4 32 38 24 41 25 16 18 39 36 34 23 43 28 12 11 49 19 21 Constant (2000) dollars1



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



58



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-43. States — Personal Income Per Capita—Con.

Disposable personal income per capita Current dollars Geographic area Percent of U.S. average 2004 prel. United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29,404 25,416 31,454 25,770 23,453 30,964 32,207 38,559 31,900 45,213 28,515 26,891 28,808 24,692 30,616 27,125 27,794 27,799 24,929 25,256 27,512 34,282 36,169 28,719 31,702 22,823 27,614 24,334 28,316 30,177 33,453 36,223 23,929 32,743 26,232 29,041 27,981 25,496 26,580 29,789 29,996 24,712 28,711 27,794 27,722 24,122 29,640 31,277 32,219 23,676 28,645 30,972 2003 28,031 24,169 30,228 24,625 22,193 29,467 30,743 36,461 30,301 42,220 27,212 25,885 27,296 23,559 29,292 25,926 25,666 26,497 23,826 24,068 26,200 32,683 34,174 27,967 29,960 21,669 26,499 22,989 27,249 28,767 31,637 34,544 22,732 31,010 25,081 26,647 26,825 24,191 25,442 28,472 28,427 23,727 26,747 26,467 26,577 22,980 27,842 29,672 30,178 22,393 27,258 29,194 2002 27,158 23,147 29,412 23,926 21,173 28,664 30,083 35,617 28,980 40,062 26,456 25,363 26,272 23,123 28,572 24,892 25,061 25,712 22,944 23,206 25,086 31,585 33,320 26,654 28,894 20,615 25,575 22,074 25,591 27,540 30,782 33,620 21,859 29,978 24,468 24,396 25,711 23,313 25,042 27,426 27,304 22,922 24,624 25,343 25,987 22,465 26,592 28,786 29,368 21,572 26,374 27,699 2001 26,240 21,991 28,148 22,947 20,439 27,506 29,584 34,610 27,259 37,665 25,612 24,767 25,124 21,908 27,866 23,920 23,926 25,057 21,765 22,032 23,711 30,063 31,803 25,995 27,826 19,834 24,181 21,887 25,124 26,783 29,205 32,817 21,496 29,169 23,837 23,200 24,674 23,000 24,506 26,130 26,402 22,063 24,325 24,150 25,719 21,755 25,218 27,574 28,182 20,771 25,317 26,348 2000 25,471 21,046 26,425 22,326 19,375 26,716 28,235 33,383 26,278 33,408 24,810 24,054 24,842 20,959 27,412 23,647 23,390 24,047 21,344 20,574 22,489 28,800 30,310 25,435 27,187 18,935 23,676 20,233 24,090 26,322 28,566 32,010 19,578 28,881 23,396 22,596 24,263 21,517 23,905 25,573 25,059 21,501 23,163 23,409 24,965 20,801 24,010 26,215 27,309 19,535 24,498 24,497 2004 prel. 27,270 23,572 29,172 23,900 21,751 28,717 29,870 35,761 29,585 41,932 26,446 24,940 26,718 22,900 28,394 25,157 25,777 25,782 23,120 23,423 25,516 31,794 33,544 26,635 29,402 21,167 25,610 22,568 26,261 27,987 31,026 33,595 22,193 30,367 24,329 26,934 25,951 23,646 24,651 27,627 27,819 22,919 26,628 25,777 25,710 22,372 27,489 29,007 29,881 21,958 26,566 28,725 2003 26,567 22,907 28,649 23,339 21,034 27,928 29,137 34,557 28,718 40,015 25,791 24,533 25,870 22,328 27,762 24,572 24,325 25,113 22,582 22,811 24,832 30,976 32,389 26,506 28,395 20,537 25,115 21,788 25,826 27,264 29,985 32,740 21,545 29,390 23,771 25,255 25,424 22,927 24,113 26,985 26,942 22,488 25,350 25,085 25,189 21,780 26,388 28,122 28,602 21,223 25,834 27,669 2002 26,227 22,354 28,404 23,106 20,448 27,682 29,052 34,397 27,987 38,689 25,550 24,494 25,372 22,331 27,593 24,039 24,202 24,831 22,158 22,411 24,226 30,503 32,178 25,741 27,904 19,909 24,699 21,318 24,714 26,596 29,727 32,468 21,110 28,951 23,630 23,560 24,830 22,514 24,184 26,486 26,368 22,137 23,780 24,475 25,097 21,695 25,681 27,800 28,362 20,833 25,470 26,750 2001 25,702 21,540 27,571 22,476 20,020 26,942 28,977 33,900 26,700 36,892 25,087 24,259 24,609 21,459 27,294 23,429 23,435 24,543 21,319 21,580 23,225 29,446 31,151 25,462 27,255 19,427 23,685 21,438 24,609 26,234 28,606 32,144 21,055 28,571 23,348 22,724 24,168 22,528 24,003 25,594 25,860 21,610 23,826 23,655 25,191 21,309 24,701 27,008 27,604 20,345 24,798 25,808 2000 25,471 21,046 26,425 22,326 19,375 26,716 28,235 33,383 26,278 33,408 24,810 24,054 24,842 20,959 27,412 23,647 23,390 24,047 21,344 20,574 22,489 28,800 30,310 25,435 27,187 18,935 23,676 20,233 24,090 26,322 28,566 32,010 19,578 28,881 23,396 22,596 24,263 21,517 23,905 25,573 25,059 21,501 23,163 23,409 24,965 20,801 24,010 26,215 27,309 19,535 24,498 24,497 2004 100.0 86.4 107.0 87.6 79.8 105.3 109.5 131.1 108.5 153.8 97.0 91.5 98.0 84.0 104.1 92.2 94.5 94.5 84.8 85.9 93.6 116.6 123.0 97.7 107.8 77.6 93.9 82.8 96.3 102.6 113.8 123.2 81.4 111.4 89.2 98.8 95.2 86.7 90.4 101.3 102.0 84.0 97.6 94.5 94.3 82.0 100.8 106.4 109.6 80.5 97.4 105.3 2000 100.0 82.6 103.7 87.7 76.1 104.9 110.9 131.1 103.2 131.2 97.4 94.4 97.5 82.3 107.6 92.8 91.8 94.4 83.8 80.8 88.3 113.1 119.0 99.9 106.7 74.3 93.0 79.4 94.6 103.3 112.2 125.7 76.9 113.4 91.9 88.7 95.3 84.5 93.9 100.4 98.4 84.4 90.9 91.9 98.0 81.7 94.3 102.9 107.2 76.7 96.2 96.2 Constant (2000) dollars1



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



X Not applicable.

1 Constant dollar estimates are computed by the U.S. Census Bureau using the national implicit price deflator for personal consumption expenditures from the Bureau of Economic Analysis. Any regional differences in the rate of inflation are not reflected in these constant dollar estimates.



Survey, Census, or Data Collection Method: Based on the Regional Economic Information System. For more information, see ‘‘State Personal Income Methodologies’’ at . Source: Except as noted, U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005. See also (released 28 March 2005).



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



59



Table A-44. States — Earnings by Industry: 2004

Private earnings (mil. dol.) Geographic area Farm earnings (mil. dol.) United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,785 1,522 13 913 1,917 8,927 749 171 209 – 1,518 2,319 219 982 2,042 1,013 3,585 753 699 645 65 315 81 764 2,185 1,351 820 273 1,603 88 36 228 729 913 1,747 1,398 1,172 1,222 887 1,172 20 339 1,302 182 3,694 253 177 382 1,611 −83 1,512 149 Forestry, fishing, related activities, and other 28,117 665 278 470 537 5,871 238 73 22 1,350 1,800 744 66 428 337 204 241 221 363 566 366 139 458 367 374 560 399 205 153 37 133 139 138 1,348 688 97 297 184 1,510 566 61 389 93 360 1,466 54 86 345 1,982 150 452 49 Wholesale trade 387,439 4,492 357 6,494 2,511 47,032 6,579 5,850 1,156 423 20,561 14,559 960 1,220 21,863 6,966 3,529 3,569 4,392 4,038 1,213 6,700 11,463 12,030 9,536 1,891 7,314 744 2,291 2,286 2,171 19,223 1,174 27,890 10,381 910 14,661 2,873 5,279 15,507 1,129 3,739 828 8,006 33,649 2,366 591 8,085 8,411 1,214 6,914 422 Retail trade 500,698 6,892 1,286 10,239 3,584 67,631 8,437 7,811 1,650 623 30,024 14,070 2,226 2,312 19,822 9,314 4,946 4,369 6,103 6,347 2,600 10,066 12,507 15,941 9,328 3,842 9,377 1,659 2,933 4,641 3,424 18,352 2,936 30,373 13,368 1,118 18,517 5,179 6,190 20,797 1,750 6,757 1,361 11,081 37,165 4,129 1,268 12,533 11,598 2,405 8,950 868 Finance and insurance 580,387 4,596 582 8,419 2,123 71,953 9,149 19,906 3,852 2,524 26,241 13,459 1,287 1,127 32,602 6,712 5,446 3,684 4,201 3,716 1,748 9,734 25,409 12,276 12,277 1,863 8,095 838 3,079 3,856 2,447 23,979 1,407 102,424 11,678 796 17,189 3,238 4,284 22,085 2,075 4,022 1,237 8,756 37,379 3,163 715 12,194 10,113 1,108 8,953 393



Mining 63,073 708 1,170 715 390 2,879 2,732 167 28 8 465 537 51 135 1,594 564 142 818 1,511 4,189 9 120 373 758 452 510 413 543 143 850 46 218 1,323 1,224 278 292 1,044 3,777 134 1,738 20 103 63 284 23,857 592 55 767 295 1,919 248 1,823



Utilities 78,071 1,497 207 1,116 572 10,131 1,075 1,580 246 266 2,965 2,917 282 321 3,084 1,593 876 716 528 975 300 2,542 1,419 2,849 1,477 618 1,143 283 527 603 421 2,282 328 6,075 1,425 367 2,144 1,174 789 3,678 279 1,096 173 341 10,044 382 228 1,630 617 551 1,131 203



Construction 463,816 5,809 1,570 10,912 2,664 65,452 10,982 6,977 1,606 799 27,232 12,685 2,210 2,294 20,333 9,150 4,181 3,549 4,889 6,078 1,947 11,802 12,295 14,153 9,187 2,488 9,028 1,433 2,683 7,086 2,465 14,462 2,499 24,315 12,543 966 14,896 3,459 5,498 17,774 1,498 5,960 1,040 8,241 35,158 4,002 1,095 13,927 11,147 1,903 8,469 1,026



Manufacturing 983,917 16,146 739 12,861 9,255 121,732 11,140 17,502 2,783 273 23,383 25,561 870 3,576 47,750 39,131 12,830 11,182 16,526 10,822 3,698 10,684 26,327 59,366 22,952 8,190 19,242 1,075 5,093 2,799 5,619 29,349 2,248 43,643 33,612 1,323 55,486 10,912 13,127 46,472 3,264 15,346 1,862 24,912 71,302 6,399 2,343 17,672 19,970 3,963 30,973 633



Information 293,577 1,882 458 3,121 1,782 57,492 11,132 3,912 539 2,739 12,844 12,798 798 489 11,058 2,481 1,767 3,549 1,536 2,034 670 4,520 8,476 4,882 4,374 880 5,259 415 1,262 1,145 955 11,588 781 35,835 5,200 421 6,218 2,213 2,362 9,205 959 1,701 369 3,056 21,264 1,670 348 9,680 11,451 613 3,214 182



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



60



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Table A-44. States — Earnings by Industry: 2004—Con.

Private earnings (mil. dol.) Geographic area Real estate and rental and leasing United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196,979 1,682 336 4,507 791 33,379 5,244 2,453 422 972 11,619 5,724 804 619 8,840 2,904 1,021 1,206 1,199 2,221 502 4,605 4,836 7,845 2,968 715 2,628 739 635 1,802 880 6,956 697 16,877 4,253 195 5,521 1,442 1,995 6,949 466 1,888 358 3,211 18,078 1,196 242 5,620 4,156 382 2,025 369 Professional and technical services 687,149 7,139 1,010 9,557 2,504 106,712 14,686 12,042 2,835 13,523 32,184 18,088 1,985 2,350 37,072 6,971 2,896 3,960 4,892 6,134 1,667 19,910 27,642 24,849 11,283 2,325 10,047 1,112 2,552 4,183 2,710 29,202 3,260 64,737 12,945 696 19,602 4,204 5,546 28,235 1,987 4,872 594 9,099 48,466 4,253 1,016 29,827 14,119 1,716 7,367 587 Management of companies and enterprises 162,525 769 96 1,869 1,763 21,168 2,304 3,626 985 244 6,150 4,598 590 592 9,710 2,250 624 671 1,343 1,360 391 907 5,910 7,597 6,547 645 5,523 58 1,041 1,680 749 7,724 283 16,407 5,537 181 8,257 865 2,136 6,649 903 701 223 1,707 4,317 1,179 23 6,519 3,124 190 3,764 74 Administrative and waste services 273,867 2,616 466 6,743 1,270 37,133 5,082 3,742 711 1,648 25,945 9,048 1,333 976 12,774 4,547 1,713 2,011 2,337 2,691 726 5,603 6,836 10,037 4,075 1,089 4,089 432 1,322 2,481 1,057 10,435 1,412 18,212 6,440 285 9,340 2,638 2,712 9,592 783 3,847 389 6,377 21,513 1,824 325 6,921 5,825 785 3,458 222 Educational services 98,552 623 102 1,171 312 10,599 1,062 2,544 224 1,848 3,886 2,543 465 207 5,037 1,525 854 464 690 1,132 394 2,601 7,238 1,973 1,613 398 2,245 101 490 195 850 3,140 281 12,721 2,161 99 2,886 551 809 8,225 833 639 184 1,832 4,454 777 401 2,101 1,317 217 1,491 46 Health care and social assistance 712,238 8,537 1,786 11,835 5,497 78,766 10,139 12,320 2,416 3,142 39,790 17,191 2,932 2,563 30,172 14,239 6,662 6,104 9,155 9,309 4,123 14,858 23,798 23,653 15,547 4,847 13,370 2,208 4,356 4,308 3,740 25,312 3,556 62,054 17,212 1,851 29,534 6,672 8,683 37,958 3,366 6,704 2,265 16,114 47,782 4,105 1,818 14,957 14,726 4,272 15,005 932 Arts, entertainment, and recreation 82,769 464 210 1,396 303 16,760 1,746 987 272 358 7,336 1,711 452 288 3,217 1,727 609 341 583 1,458 273 1,305 2,117 2,356 1,344 442 1,813 224 264 1,214 385 2,259 351 8,418 1,727 77 2,295 364 716 2,810 267 734 216 1,542 3,846 489 135 1,338 1,672 343 1,055 156 Government and government enterprises (mil. dol.)



Accommodation and food services 207,807 2,126 644 4,170 1,168 27,110 4,077 2,343 609 1,482 14,307 5,864 2,825 698 8,119 3,436 1,462 1,544 2,335 2,829 929 4,152 5,504 5,400 3,260 2,053 3,655 653 926 9,722 1,049 6,900 1,251 13,168 4,993 372 6,481 1,684 2,449 6,965 808 2,959 501 4,255 14,837 1,370 615 5,065 4,239 892 3,067 483



Federal, civilian 223,754 4,031 1,395 3,981 1,522 20,080 4,203 1,495 370 20,117 9,936 7,331 2,493 968 7,027 2,716 1,285 1,903 2,433 2,638 1,111 14,240 4,120 4,179 2,554 1,867 4,152 980 1,156 1,387 631 5,099 2,224 10,262 4,364 626 6,215 3,553 2,342 8,014 841 2,015 751 3,949 13,760 2,430 461 14,581 5,729 1,660 2,043 536



Military 117,323 1,933 1,575 2,021 890 13,004 2,703 777 478 1,819 6,606 5,704 3,444 526 2,622 805 543 1,694 2,750 2,183 487 3,014 983 849 724 1,789 1,805 441 912 871 169 1,274 1,150 2,631 7,470 741 1,863 2,278 509 1,775 447 3,018 449 976 10,218 850 157 11,501 4,414 371 762 350



State and local 869,900 12,220 2,882 14,798 6,801 119,015 13,751 12,491 2,669 2,478 43,847 22,751 3,985 3,763 36,782 15,765 9,144 8,266 10,409 12,971 3,724 16,269 19,199 28,639 16,643 7,940 14,769 2,670 5,523 6,651 3,294 32,016 7,174 72,704 24,921 2,003 32,488 9,528 11,228 30,054 3,171 12,159 2,095 14,460 59,956 6,494 1,984 22,188 21,301 4,974 16,828 2,060



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



– Represents zero. Survey, Census, or Data Collection Method: Source: Based on the Regional Economic Information System; for information, see Internet site .



U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005. See Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



61



Table A-45. States — Science and Engineering Indicators

Doctoral scientists1, 2 Geographic area 2001 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 541,630 5,040 1,350 6,720 2,670 70,650 12,150 9,620 3,530 13,410 16,330 11,860 2,550 2,090 20,680 9,080 4,500 4,170 4,950 5,270 2,120 22,150 26,970 14,630 10,680 2,930 8,850 1,730 2,820 1,790 2,350 20,660 6,800 42,610 16,780 1,150 18,580 4,240 7,260 24,630 2,370 5,030 1,160 8,680 28,610 4,700 1,800 16,960 14,540 1,980 8,520 940 1999 517,550 5,620 1,240 6,320 2,850 66,800 11,470 9,470 3,660 13,260 14,550 10,920 2,490 1,830 20,540 8,560 4,480 3,700 4,520 5,320 2,310 21,510 24,880 13,770 10,610 2,880 9,050 1,830 2,670 1,760 2,020 19,740 6,730 41,230 15,500 1,290 18,140 4,150 6,940 23,820 2,440 4,550 1,070 7,470 27,170 4,350 1,720 15,770 13,250 2,060 8,330 910 2001 112,540 1,340 80 2,000 370 21,040 2,070 1,410 840 1,150 3,080 1,780 310 570 3,940 1,790 560 550 450 870 280 3,440 4,890 4,570 1,950 660 1,440 100 330 540 650 4,690 2,340 6,490 2,340 130 4,780 920 1,460 4,650 500 980 90 1,660 8,910 1,220 240 3,400 2,610 380 1,610 100 1999 106,900 1,230 90 1,830 270 19,980 2,070 1,320 730 960 2,990 1,360 170 520 4,020 1,480 560 520 400 880 260 3,440 4,850 4,530 1,870 620 1,380 110 310 420 590 4,750 2,130 6,230 2,200 140 4,840 880 1,300 4,290 540 810 80 1,750 8,340 1,150 300 3,190 2,370 380 1,410 50 2002 24,499 307 19 417 70 3,232 457 353 100 282 762 637 76 50 1,210 589 354 275 185 293 30 638 1,461 967 403 136 409 57 150 61 82 521 176 2,124 697 46 987 196 233 1,207 157 240 36 343 1,462 265 49 603 460 81 520 34 2001 25,412 287 26 403 62 3,334 485 370 128 291 781 608 107 51 1,323 667 376 264 172 334 30 664 1,448 906 455 129 439 42 164 52 76 621 147 2,128 726 43 1,061 238 262 1,247 162 216 34 377 1,598 236 52 628 457 67 530 38 Doctoral engineers1, 2 S&E3 doctorates awarded4 Federal R&D5 obligations (mil. dol.)



2002 83,629 2,705 274 2,057 141 15,686 1,609 1,917 79 2,850 2,301 2,019 375 231 1,694 526 405 291 321 432 255 7,192 4,659 1,244 1,151 623 1,203 113 145 336 297 2,021 2,746 3,747 1,390 102 2,103 272 502 3,162 501 371 59 961 3,374 409 136 5,756 1,999 254 595 40



2001 77,915 2,333 212 1,781 184 12,651 1,341 1,377 70 2,606 2,648 3,396 293 209 1,694 535 324 307 272 276 451 9,290 4,318 1,176 901 402 909 137 125 295 419 1,592 2,581 3,336 1,401 78 2,327 226 523 2,602 437 314 55 845 2,925 395 113 4,810 1,545 353 488 37



1999 73,645 1,807 115 1,117 106 15,600 1,439 655 52 2,452 2,284 2,023 199 201 1,316 414 264 192 147 219 151 8,094 3,129 840 885 352 929 95 94 279 292 2,661 2,068 2,689 1,008 60 3,688 166 408 1,907 392 216 39 685 3,853 305 62 5,750 1,307 227 378 35



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



62



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Table A-45. States — Science and Engineering Indicators—Con.

Total R&D5 performance (mil. dol.) Geographic area 2002 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255,707 2,323 308 4,096 427 51,388 4,218 6,774 1,319 2,706 5,498 3,935 456 1,370 10,190 4,326 1,346 1,865 1,128 858 429 9,030 14,316 15,082 5,247 691 2,478 236 663 524 1,435 13,020 4,689 13,354 5,135 295 8,310 793 2,892 9,763 1,639 1,668 111 2,568 14,223 1,572 398 5,895 10,511 542 3,585 80 2000 244,855 1,730 196 3,107 454 55,093 4,230 4,888 1,532 2,296 4,663 2,796 291 1,434 12,767 3,252 1,017 1,420 866 627 319 8,634 13,004 18,892 4,299 513 2,583 170 439 377 775 13,133 3,085 13,556 5,045 146 7,662 660 2,116 9,842 1,501 1,126 85 2,057 11,552 1,361 465 5,069 10,516 457 2,693 61 2002 182,403 846 51 3,201 225 39,664 2,823 6,077 1,219 194 3,707 2,107 103 992 7,616 3,572 753 1,427 656 248 250 3,800 10,279 13,565 4,460 224 1,592 66 342 339 1,153 11,566 331 9,234 3,443 154 6,230 412 2,320 7,064 1,121 1,054 53 1,289 10,744 1,116 286 2,920 8,579 264 2,649 21 2000 187,544 607 9 2,445 273 45,769 3,140 4,371 1,444 112 3,212 1,579 44 1,338 10,661 2,668 538 1,140 582 126 201 2,032 9,863 17,640 3,722 101 1,893 28 199 248 586 12,062 1,158 10,539 3,672 51 5,962 333 1,651 7,873 1,090 781 44 1,215 8,961 979 396 2,718 9,265 235 1,981 7 2002 36,244 503 129 531 140 4,882 645 538 88 252 1,086 1,076 173 93 1,441 651 486 300 333 483 69 1,880 1,706 1,233 504 285 706 122 267 127 220 683 293 2,774 1,277 106 1,117 282 387 1,913 163 400 38 491 2,535 360 90 694 748 97 806 42 2001 32,652 445 116 501 141 4,422 573 499 80 228 997 989 157 82 1,281 584 440 269 297 432 68 1,644 1,577 1,107 469 242 678 108 242 116 197 609 274 2,476 1,137 85 996 255 366 1,687 143 361 32 423 2,244 338 77 611 707 79 729 42 1999– 2002 19,380 347 11 399 33 3,923 984 349 81 83 442 205 82 45 300 116 45 71 54 48 63 958 2,792 331 275 41 88 105 35 57 243 573 351 751 231 26 733 63 249 663 71 72 25 159 740 195 54 1,076 461 36 205 40 1995– 2000 26,420 486 19 542 33 5,510 1,196 627 112 84 586 240 105 39 393 142 35 73 61 58 66 1,255 3,958 525 409 41 113 73 36 52 313 803 488 1,112 310 31 960 72 369 889 70 62 37 233 1,004 268 89 1,466 661 26 250 38 Industry R&D1, 5 (mil. dol.) Academic R&D5 (mil. dol.) Number of SBIR6 awards Utility patents7 issued to state residents



2002 86,955 398 43 1,588 184 18,829 1,939 1,805 354 61 2,397 1,295 73 1,828 3,470 1,397 630 421 450 445 153 1,460 3,608 3,862 2,751 156 837 138 212 308 609 3,762 371 6,360 1,822 73 3,329 466 1,450 3,343 260 599 76 831 6,029 675 487 1,160 2,098 151 1,864 48



2001 87,594 382 50 1,540 180 18,598 1,927 1,853 382 67 2,649 1,370 95 1,697 3,640 1,358 751 312 481 520 145 1,483 3,667 3,854 2,635 166 841 145 215 313 598 3,869 376 6,349 1,946 97 3,274 576 1,259 3,534 287 565 76 813 6,371 715 453 1,115 1,969 148 1,837 51



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1 2 3



. . . . . .



The reliability varies by state because the sample allocation was not based on geography. Includes all graduate degree (except M.D.) candidates and recipients in science and engineering fields, including health fields. Science and engineering. 4 Does not include health fields. 5 Research and development. 6 Small Business Innovation Research. 7 May be granted to anyone who invents or discovers any new, useful, and nonobvious process, machine, article, or manufacture, or composition of matter, or any new and useful improvement thereof. Survey, Census, or Data Collection Method: Source: For information, see Internet site .



National Science Foundation, Science and Engineering State Profiles: 2001–03, and previous editions. See also .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



63



Table A-46. States — Employer Firm Births and Terminations and Business



Bankruptcies

Number of employer firms1 Geographic area 2003 United States5. . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,696,600 85,768 16,825 109,692 60,416 1,063,230 143,821 95,969 25,280 26,633 426,245 196,921 29,217 41,539 281,869 125,129 68,737 68,095 81,407 94,437 39,691 134,447 175,827 210,803 133,419 53,641 131,464 33,991 45,595 48,929 39,508 268,203 41,731 478,270 179,580 18,817 229,648 75,486 102,862 271,459 32,594 90,998 23,161 110,427 398,928 58,507 20,922 167,527 206,699 37,144 123,800 19,616 2002 5,678,500 85,895 16,511 107,894 60,668 1,022,192 140,704 96,677 25,097 26,503 413,476 194,062 28,800 40,633 278,839 124,673 68,466 67,757 87,589 93,989 39,180 133,536 173,896 211,567 131,646 53,409 129,777 33,339 45,342 47,340 39,211 274,966 42,066 474,425 178,560 18,639 230,705 75,250 100,726 268,723 32,295 89,634 22,803 108,928 394,303 56,346 20,755 165,185 200,909 37,364 122,249 19,339 2001 5,657,774 86,007 16,398 106,680 59,757 985,846 138,411 96,916 25,199 26,312 392,756 192,736 28,569 40,459 279,627 125,119 68,704 67,197 88,138 95,829 38,907 132,049 170,026 212,608 130,348 53,303 129,404 32,891 45,019 46,339 39,542 277,425 41,616 473,471 175,461 18,544 232,266 75,177 99,943 265,451 33,011 89,300 22,759 109,376 390,390 54,461 21,247 162,459 199,233 37,805 122,051 19,141 2003 572,900 9,014 2,441 13,322 7,253 113,500 22,400 8,501 3,439 4,052 69,711 24,217 3,658 5,998 28,933 13,452 5,534 7,625 8,155 9,298 4,033 20,687 18,984 22,022 14,652 6,020 15,947 4,548 4,311 9,749 4,653 29,236 5,508 60,569 22,465 1,456 22,227 8,802 13,842 31,214 3,465 10,759 1,338 17,700 52,677 10,656 2,122 22,069 36,136 4,126 12,400 2,419 Number 2002 589,700 9,534 2,270 14,291 5,381 130,840 25,290 8,726 3,223 4,157 72,720 28,756 3,555 5,039 27,342 13,530 5,660 6,703 8,526 9,810 4,428 20,576 21,262 22,799 13,683 6,256 16,337 3,569 4,372 8,826 4,562 29,916 5,281 59,571 22,950 1,356 22,379 8,702 13,160 31,939 3,397 10,266 1,389 15,982 54,009 10,431 2,331 21,438 37,562 3,944 12,172 2,275 2001 585,140 10,060 2,438 14,541 3,990 128,885 24,730 9,074 3,352 4,090 60,370 23,211 3,811 5,534 28,426 13,903 5,659 7,026 8,713 9,816 4,667 20,072 18,166 23,060 12,700 6,164 14,360 3,608 4,419 8,864 4,398 36,747 5,753 62,730 22,436 1,419 22,951 9,940 13,246 33,497 3,547 11,372 1,953 16,488 53,271 10,745 2,226 21,371 39,641 3,691 12,025 2,558 2003 101 105 148 123 120 111 159 88 137 153 169 125 127 148 104 108 81 113 93 99 103 155 109 104 111 113 123 136 95 206 119 106 131 128 126 78 96 117 137 116 107 120 59 162 134 189 102 134 180 110 101 125 Employer firm births2 Rate4 2002 104 111 138 134 90 133 183 90 128 158 185 149 124 125 98 108 82 100 97 102 114 156 125 107 105 117 126 109 97 190 115 108 127 126 131 73 96 116 132 120 103 115 61 146 138 192 110 132 189 104 100 119 2001 104 114 151 140 67 137 184 94 135 156 157 123 136 142 102 112 82 104 98 102 121 154 108 108 98 115 112 111 99 198 111 138 139 133 130 76 99 133 133 129 109 128 87 149 137 207 106 133 203 95 99 138



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



64



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-46. States — Employer Firm Births and Terminations and Business Bankruptcies—Con.

Employer firm terminations2 Geographic area 2003 United States5. . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 554,800 10,927 2,507 15,488 6,918 140,435 13,243 11,044 3,148 3,874 56,665 25,898 4,010 6,742 41,112 15,137 7,378 8,392 10,801 12,171 4,715 21,697 21,870 24,748 17,928 7,267 20,190 4,679 5,050 8,939 4,598 36,827 5,770 61,199 23,234 2,049 23,544 8,434 14,194 32,917 4,103 10,711 1,899 16,315 55,461 10,368 2,584 20,539 35,345 5,550 12,629 2,921 Number 2002 569,000 12,062 2,541 17,642 4,491 156,858 10,332 11,383 3,891 3,973 52,241 31,479 3,994 7,040 32,093 16,156 7,480 6,876 11,614 14,416 5,042 20,927 20,532 26,975 12,851 7,160 21,653 4,445 5,234 8,667 5,418 31,571 7,949 63,631 22,184 1,893 24,269 8,923 14,793 35,859 4,981 11,491 2,098 16,514 58,114 11,272 3,501 20,305 40,782 5,595 13,651 2,895 2001 553,291 14,781 2,575 16,371 4,746 149,831 6,954 11,348 3,122 4,013 54,573 24,352 4,080 5,851 31,976 15,839 7,770 8,055 9,883 13,319 5,401 20,667 18,268 26,535 6,770 7,557 18,188 3,881 5,394 8,252 5,264 27,890 5,495 65,616 23,217 2,112 25,460 9,498 15,512 33,426 4,152 12,893 2,156 17,637 59,342 13,565 2,578 21,449 41,122 5,741 14,135 2,969 2003 98 127 152 144 114 137 94 114 125 146 137 133 139 166 147 121 108 124 123 129 120 162 126 117 136 136 156 140 111 189 117 134 137 129 130 110 102 112 141 122 127 119 83 150 141 184 125 124 176 149 103 151 Rate4 2002 101 140 155 165 75 159 75 117 154 151 133 163 140 174 115 129 109 102 132 150 130 158 121 127 99 134 167 135 116 187 137 114 191 134 126 102 104 119 148 135 151 129 92 151 149 207 165 125 205 148 112 151 2001 98 168 159 158 80 159 52 118 126 153 142 129 145 150 115 127 113 119 112 138 140 158 109 124 53 141 142 119 121 184 133 105 132 139 134 113 109 127 156 129 127 145 96 160 153 261 123 133 211 148 116 160 2003 35,037 287 121 701 429 4,501 552 187 505 55 1,534 1,585 72 225 991 640 323 303 327 499 105 523 396 684 1,379 282 378 98 238 321 178 734 774 1,987 528 105 1,426 612 1,591 1,193 48 142 110 597 3,153 519 78 956 737 290 722 44 2002 38,540 381 120 756 282 5,141 590 181 649 52 1,803 1,359 53 260 1,240 661 354 238 445 672 101 873 380 802 1,729 309 394 120 152 462 212 689 693 2,585 576 116 1,538 607 1,606 1,263 65 178 119 735 2,994 602 91 969 698 357 856 47 2001 40,099 428 104 753 290 5,238 467 156 1,374 49 1,896 1,162 68 303 1,547 604 289 220 474 716 151 758 427 688 1,887 289 505 149 144 419 334 730 620 2,432 613 115 1,794 941 1,389 1,541 64 147 164 886 3,155 475 97 924 642 322 734 45 Business bankruptcies3



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1 2 3



. . . . . .



Employer firm estimates are the previous year’s figure plus the difference between birth and termination estimates. As of end of year. From prior year’s March through current year’s March. On occasion, some state terminations result in successor firms, which are not listed as new firms. A business bankruptcy is the legal recognition that a company is insolvent (i.e., not able to satisfy creditors or discharge liabilities) and must restructure or completely liquidate under Chapter 7, 11, 12, or 13 of the federal bankruptcy laws. 4 Per 1,000 employer firms. Based on the number of firms at the end of the previous year. 5 State totals do not add to the U.S. totals as firms enter and exit multiple states and the U.S. data is based upon a different source. Survey, Census, or Data Collection Method: For information, see Internet site .



Source: U.S. Small Business Administration, Office of Advocacy, ‘‘Small Business Economic Indicators for 2003,’’ published August 2004; see Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



65



Table A-47. States — Employer Firms and Nonemployer Establishments

Firms (1,000) By employment-size of enterprise, 2002 Fewer than 20 employees 5,090.3 67.2 14.1 81.8 45.1 591.1 104.8 66.0 16.3 12.3 335.8 141.9 21.2 29.0 218.5 98.3 56.0 51.9 60.8 69.5 30.3 92.2 125.8 166.7 102.0 41.1 102.6 25.7 35.7 35.3 27.4 179.5 30.2 383.6 143.3 14.6 180.1 61.0 74.4 204.8 21.7 67.5 18.0 85.3 324.8 42.3 16.5 122.8 121.6 28.0 98.8 14.3 Fewer than 500 employees 5,680.9 76.6 15.5 93.2 50.6 669.1 116.8 75.2 18.8 15.3 366.7 160.4 24.1 32.2 249.4 113.2 63.5 59.1 69.8 79.7 33.6 105.4 143.2 189.3 116.2 46.5 116.9 28.2 40.2 40.7 31.2 200.3 34.2 424.3 161.8 16.6 207.3 68.5 83.2 233.6 24.6 76.5 20.2 97.9 368.1 47.6 18.4 139.5 135.7 31.6 113.6 15.9 Employment, 2002 (1,000) By employmentsize of enterprise Fewer than 20 employees 20,583 289 53 329 185 2,390 386 278 64 54 1,182 555 89 112 885 431 231 213 263 303 116 381 513 709 408 174 415 96 146 137 113 691 124 1,418 597 59 796 247 296 875 86 284 73 363 1,355 163 66 513 474 119 430 56 Fewer than 500 employees 56,366 786 128 930 476 6,811 981 759 171 201 2,856 1,493 253 259 2,577 1,254 642 588 734 853 292 1,087 1,481 1,976 1,206 452 1,173 210 383 402 302 1,796 319 3,756 1,571 161 2,328 645 736 2,498 238 739 189 1,033 3,759 430 162 1,403 1,196 303 1,267 123 Annual payroll, 2002 (mil. dol.) By employmentsize of enterprise Fewer than 20 employees 617,584 7,068 1,861 9,474 4,271 82,859 11,998 10,261 1,891 2,665 34,988 16,596 2,533 2,692 29,295 11,061 5,354 5,294 6,358 7,573 3,022 12,218 18,589 21,454 12,049 3,880 10,959 2,101 3,423 4,546 3,599 24,783 3,042 50,025 15,670 1,321 22,207 5,896 7,731 24,443 2,594 7,120 1,591 9,844 40,795 4,352 1,691 15,216 13,966 2,531 11,514 1,320 Fewer than 500 employees 1,777,050 20,580 4,545 26,880 11,174 243,423 31,676 29,536 5,413 9,859 85,642 45,792 7,117 6,425 88,717 35,019 16,385 15,674 18,812 21,901 7,976 36,475 57,734 62,969 37,648 10,430 33,124 4,805 9,884 12,705 9,995 67,822 7,897 143,307 43,324 3,791 68,385 16,083 21,167 75,489 7,291 18,977 4,424 29,765 114,686 12,039 4,382 45,339 38,589 7,015 35,797 3,164 Nonemployer establishments Number (1,000) Receipts (mil. dol.)



Geographic area



2002 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,697.8 78.7 16.0 95.9 52.1 674.6 119.6 77.3 20.2 16.4 370.8 164.3 24.9 33.2 253.7 116.0 65.1 60.9 71.9 81.7 34.4 108.0 146.1 192.3 118.7 48.0 119.6 28.8 41.5 42.5 32.3 203.5 35.6 428.4 165.0 17.2 211.0 70.3 85.1 237.4 25.5 78.6 20.9 100.7 373.1 49.3 19.0 142.6 138.3 32.7 116.0 16.5



2000 5,652.5 79.9 15.9 93.0 52.4 664.6 116.2 78.5 20.2 16.3 354.0 160.4 24.3 32.2 254.1 116.3 65.6 61.6 72.3 81.7 34.1 106.0 148.2 193.9 116.2 48.3 118.1 28.0 41.4 40.3 32.1 202.2 35.5 424.8 163.6 17.2 212.5 70.2 85.1 237.5 25.2 78.4 20.6 102.4 369.0 46.2 19.1 139.7 138.2 33.5 115.6 15.9



Total 112,401 1,581 214 1,945 975 12,856 1,912 1,556 389 419 6,367 3,381 440 454 5,224 2,517 1,230 1,099 1,463 1,583 487 2,063 3,023 3,890 2,360 904 2,354 301 749 936 551 3,597 554 7,235 3,322 254 4,743 1,200 1,329 5,046 416 1,539 304 2,292 7,994 900 258 2,915 2,186 561 2,356 178



Total 3,943,180 45,466 8,439 61,108 25,913 510,841 67,812 68,478 14,716 21,358 192,932 113,752 13,352 12,562 197,828 79,365 34,820 33,153 42,537 45,628 14,375 75,032 127,902 142,419 84,528 22,773 74,124 7,429 21,740 29,308 18,652 152,370 15,108 329,811 101,827 6,554 154,820 33,564 43,522 169,236 13,547 43,999 7,750 71,272 277,847 26,174 7,436 101,693 83,127 14,811 75,313 5,051



2002 17,646.1 239.6 47.1 289.3 162.5 2,252.4 350.9 228.1 44.5 34.2 1,189.5 523.8 76.4 89.3 720.8 328.7 176.3 162.7 236.5 253.7 102.6 343.1 424.2 555.7 333.3 145.2 329.9 73.0 106.4 128.1 94.2 513.5 103.3 1,302.7 492.8 40.6 623.6 228.1 218.3 656.0 63.3 221.7 50.0 364.6 1,388.3 144.4 54.3 398.8 334.9 84.2 283.4 37.4



2000 16,530.0 223.1 47.7 269.0 152.9 2,103.2 333.4 217.3 41.1 32.9 1,074.0 468.4 73.8 84.4 668.2 319.4 171.5 156.9 226.2 234.1 98.5 322.8 410.5 527.0 317.9 134.9 311.8 70.2 103.3 113.7 88.9 482.7 81.4 1,202.9 462.2 39.6 602.9 219.0 212.2 632.5 59.4 206.8 48.2 339.4 1,271.4 135.8 51.2 373.4 326.4 81.8 268.3 35.7



2002 770,032 9,738 1,771 13,102 6,101 114,113 15,426 12,580 2,234 1,582 53,987 23,300 3,055 3,379 29,267 12,106 5,734 5,880 8,909 9,844 3,950 14,040 21,045 22,569 12,966 5,763 12,388 2,557 3,592 7,174 4,677 27,390 3,580 58,700 19,534 1,386 24,424 8,885 9,159 28,328 2,726 9,370 1,687 15,432 62,847 6,181 1,944 16,130 14,250 2,582 11,302 1,367



2000 709,379 8,827 1,721 11,931 5,738 106,592 14,278 11,563 1,854 1,503 48,137 21,143 2,836 3,103 26,162 11,426 5,464 5,467 8,124 9,267 3,602 12,829 19,811 20,910 12,163 5,365 11,201 2,352 3,406 5,900 4,153 25,100 2,433 53,764 18,255 1,285 23,132 8,293 8,436 27,029 2,496 8,558 1,556 14,098 58,278 5,652 1,828 14,393 13,979 2,376 10,417 1,194



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



Survey, Census, or Data Collection Method: Employer firms—Based on the Statistics of U.S. Businesses database; for information, see Internet site ; Nonemployer establishments—Based on business income tax returns filed with the Internal Revenue Service; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site . Sources: Employer firms—U.S. Small Business Administration, Office of Advocacy, ‘‘Statistics of U.S. Businesses and Nonemployer Statistics: Firm Size Data provided by U.S. Census Bureau’’; see Internet site , accessed 4 May 2005; Nonemployer establishments—U.S. Census Bureau, ‘‘Nonemployer Statistics,’’ annual; see Internet site .



66



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-48. States — Private Nonfarm Establishments, Employment, and Payroll

Establishments Employment (1,000) By employment-size class of establishment, 2002 500 or more 18,109 280 31 316 190 1,873 270 228 85 73 969 585 70 61 912 398 213 145 231 261 63 255 506 595 376 168 399 23 146 204 72 588 64 1,352 557 24 743 184 176 882 61 259 35 410 1,334 145 29 509 255 90 407 7 Under 20 28,116 412 72 468 255 3,158 523 367 90 81 1,609 790 124 150 1,196 612 326 298 375 423 155 522 683 965 559 245 581 123 200 195 150 881 174 1,804 827 81 1,128 339 399 1,210 110 397 96 533 1,926 225 84 732 639 169 581 73 20 to 99 33,335 476 64 582 281 4,065 591 434 104 116 1,756 993 142 136 1,528 755 361 340 438 507 146 643 850 1,131 694 262 699 107 218 244 170 1,006 187 1,947 1,003 85 1,432 381 417 1,445 128 463 93 676 2,400 259 78 889 664 175 715 60 100 to 499 28,101 393 51 498 227 3,166 458 392 93 117 1,485 887 108 89 1,352 659 300 277 405 361 117 574 785 960 619 211 576 50 170 203 136 932 128 1,755 822 62 1,274 276 312 1,327 105 372 74 612 2,019 212 57 721 510 130 643 39 500 or more 22,848 299 28 398 212 2,468 341 362 102 105 1,517 712 66 79 1,148 491 242 184 244 293 69 323 705 834 488 187 498 (D) 162 293 95 778 64 1,729 670 26 909 204 201 1,064 73 306 40 470 1,648 204 39 572 372 87 416 (D) Annual payroll (bil. dol.)



Geographic area Net change, 2000– 2002 130,722 114 355 4,936 684 21,134 4,719 –61 606 275 21,750 5,881 780 1,413 1,913 983 152 138 572 869 826 3,348 –231 704 4,873 114 3,222 1,123 636 3,205 514 3,946 431 6,848 3,659 283 672 935 1,288 2,516 326 1,211 656 –320 10,660 3,409 60 4,919 1,915 –559 1,671 649



By employment-size class of establishment, 2002 Under 20 6,198,512 85,493 16,905 102,054 55,417 700,702 124,631 79,208 21,192 16,396 397,748 176,246 26,440 34,746 264,125 124,440 70,227 64,886 76,988 87,014 35,873 112,426 150,285 203,356 123,028 51,901 127,098 29,824 43,708 43,984 32,815 206,823 37,672 439,445 177,442 17,929 228,078 74,795 89,388 253,405 25,029 84,477 21,635 109,994 410,586 51,064 19,271 153,908 145,857 35,223 120,385 16,950 20 to 99 835,205 12,101 1,667 14,682 7,128 101,336 14,878 10,826 2,599 2,842 43,424 24,892 3,546 3,547 37,780 19,021 9,024 8,582 11,167 12,647 3,733 16,036 21,008 28,521 17,259 6,719 17,443 2,831 5,486 6,105 4,330 25,175 4,806 49,118 25,300 2,137 35,541 9,595 10,706 35,961 3,199 11,714 2,381 16,941 59,646 6,461 2,026 22,313 17,036 4,489 17,889 1,611 100 to 499 148,944 2,057 253 2,688 1,134 17,086 2,468 2,113 501 619 8,047 4,600 577 488 7,163 3,445 1,578 1,464 2,107 1,963 623 3,098 4,192 5,144 3,290 1,114 3,037 294 919 1,090 711 4,919 671 9,006 4,263 332 6,819 1,455 1,663 7,009 571 1,907 388 3,211 10,603 1,118 298 3,771 2,785 686 3,405 201



2002 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



2000



2002 112,401 1,581 214 1,945 975 12,856 1,912 1,556 389 419 6,367 3,381 440 454 5,224 2,517 1,230 1,099 1,463 1,583 487 2,063 3,023 3,890 2,360 904 2,354 301 749 936 551 3,597 554 7,235 3,322 254 4,743 1,200 1,329 5,046 416 1,539 304 2,292 7,994 900 258 2,915 2,186 561 2,356 178



2000 114,065 1,653 205 1,919 991 12,885 1,913 1,546 377 415 6,217 3,484 432 451 5,501 2,651 1,265 1,129 1,514 1,592 492 2,058 3,087 4,073 2,395 957 2,399 296 751 903 546 3,548 549 7,353 3,385 255 5,002 1,202 1,355 5,087 415 1,602 307 2,390 8,026 917 254 2,904 2,267 558 2,415 175



2002 3,943 45 8 61 26 511 68 68 15 21 193 114 13 13 198 79 35 33 43 46 14 75 128 142 85 23 74 7 22 29 19 152 15 330 102 7 155 34 44 169 14 44 8 71 278 26 7 102 83 15 75 5



2000 3,879 44 8 58 25 514 68 67 14 20 177 113 12 12 201 79 34 32 41 43 13 71 131 145 82 23 72 7 20 27 18 147 14 331 100 6 155 32 44 165 13 43 7 69 270 25 7 98 88 14 73 5



7,200,770 7,070,048 99,931 18,856 119,740 63,869 820,997 142,247 92,375 24,377 19,930 450,188 206,323 30,633 38,842 309,980 147,304 81,042 75,077 90,493 101,885 40,292 131,815 175,991 237,616 143,953 59,902 147,977 32,972 50,259 51,383 37,928 237,505 43,213 498,921 207,562 20,422 271,181 86,029 101,933 297,257 28,860 98,357 24,439 130,556 482,169 58,788 21,624 180,501 165,933 40,488 142,086 18,769 99,817 18,501 114,804 63,185 799,863 137,528 92,436 23,771 19,655 428,438 200,442 29,853 37,429 308,067 146,321 80,890 74,939 89,921 101,016 39,466 128,467 176,222 236,912 139,080 59,788 144,755 31,849 49,623 48,178 37,414 233,559 42,782 492,073 203,903 20,139 270,509 85,094 100,645 294,741 28,534 97,146 23,783 130,876 471,509 55,379 21,564 175,582 164,018 41,047 140,415 18,120



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



D Figure withheld to avoid disclosure. Survey, Census, or Data Collection Method: Based on tabulations of data extracted from the U.S. Census Bureau’s Business Register; for information, see Internet site . Source: U.S. Census Bureau, County Business Patterns, annual. See also Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



67



Table A-49. States — Foreign Direct Investment in the United States, and U.S. Exports

U.S. affiliates1 Gross book value (mil. dol.) Geographic area Total exports (mil. dol.) 769,304 9,037 3,157 13,423 3,493 109,968 6,651 8,559 2,053 1,164 28,982 19,633 405 2,915 30,214 19,109 6,394 4,931 12,992 19,922 2,432 5,746 21,837 35,625 12,678 3,179 8,997 565 2,316 2,907 2,286 19,192 2,046 44,401 18,115 1,008 31,208 3,178 11,172 18,487 1,286 13,376 826 16,123 117,245 4,718 3,283 11,631 33,793 3,262 12,706 680 Percent change 2000– 2004 8.0 23.5 28.1 –6.4 34.4 –8.1 0.9 6.4 –6.6 16.1 9.2 31.5 4.6 –18.1 –3.9 24.2 43.2 –4.2 35.2 18.5 36.7 25.1 6.4 5.3 23.1 16.6 38.5 4.5 –7.8 96.1 –3.7 3.0 –14.4 3.6 0.9 61.0 18.6 3.4 –2.4 –1.6 8.5 56.2 21.5 39.1 12.9 46.5 –19.9 –0.6 4.9 47.0 20.9 35.4 2003 (mil. dol.) 676,409 8,340 2,739 13,323 2,962 93,995 6,109 8,136 1,886 809 24,953 16,286 368 2,096 26,473 16,402 5,236 4,553 10,734 18,390 2,188 4,941 18,663 32,941 11,266 2,558 7,234 361 2,724 2,033 1,931 16,818 2,326 39,181 16,199 854 29,764 2,660 10,357 16,299 1,178 11,773 672 12,612 98,846 4,115 2,627 10,853 34,173 2,380 11,510 582 2000 (mil. dol.) 712,055 7,317 2,464 14,334 2,599 119,640 6,593 8,047 2,197 1,003 26,543 14,925 387 3,559 31,438 15,386 4,466 5,145 9,612 16,814 1,779 4,593 20,514 33,845 10,303 2,726 6,497 541 2,511 1,482 2,373 18,638 2,391 42,846 17,946 626 26,322 3,072 11,441 18,792 1,186 8,565 679 11,592 103,866 3,221 4,097 11,698 32,215 2,219 10,508 503

3



U.S. exports2 Employment (1,000) 2004



U.S. agricultural exports (mil. dol.)



2002 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



2001



2000



1990 552,902 7,300 19,435 7,234 2,344 75,768 6,544 5,357 5,818 3,869 18,659 16,729 11,830 776 23,420 13,426 2,712 5,134 9,229 17,432 2,080 5,713 8,890 12,012 11,972 2,989 5,757 2,181 776 5,450 1,446 18,608 4,312 36,424 15,234 1,251 20,549 6,049 3,427 16,587 1,120 10,067 553 10,280 57,079 3,918 631 10,702 7,985 7,975 5,088 2,782



2002 5,394.2 72.7 11.2 55.4 32.9 616.4 76.7 113.0 23.3 17.0 244.9 190.1 38.3 12.5 268.4 137.4 37.4 33.8 87.7 48.9 33.0 106.3 191.0 204.1 93.9 22.2 96.7 5.8 19.3 26.5 38.4 228.6 12.7 394.7 212.7 7.6 212.8 36.5 48.8 233.4 21.8 123.4 7.1 131.0 351.4 31.1 12.0 146.4 84.1 22.4 112.5 8.1



2001 6,237.5 92.0 12.2 65.6 40.7 707.0 91.2 126.0 28.0 18.6 305.3 220.7 41.0 14.1 315.8 164.3 45.6 39.7 100.8 58.9 34.1 114.8 221.7 220.1 102.9 27.9 113.1 7.3 23.5 31.7 42.5 268.5 15.9 469.3 238.6 9.7 244.1 42.2 56.3 260.4 24.1 137.7 7.7 150.8 417.5 34.6 11.7 171.3 99.4 28.2 111.9 10.4



2000 6,498.3 77.9 12.0 73.2 40.9 749.4 102.6 118.0 31.8 17.1 312.1 227.9 44.8 14.2 325.8 168.2 40.9 61.0 106.0 61.3 33.9 112.9 226.8 249.9 106.2 24.2 107.4 6.8 21.7 36.3 46.5 272.2 16.7 479.1 264.8 7.7 260.3 41.9 62.1 283.4 24.2 138.4 6.9 153.2 445.2 38.1 11.5 181.9 106.8 28.1 110.3 7.8



1990 4,704.4 55.7 13.2 57.1 29.2 555.9 56.3 75.9 43.1 11.4 205.7 161.0 53.0 11.7 245.8 126.9 32.8 29.6 65.7 61.4 26.6 79.6 131.2 139.6 89.8 23.6 73.7 5.1 14.9 22.7 25.9 227.0 17.4 347.5 181.0 3.1 219.1 43.6 39.1 221.6 13.3 104.7 4.5 116.9 299.5 21.0 7.7 113.3 77.5 34.9 81.4 5.8



Rank (X) 24 37 17 32 2 27 26 43 (X) 8 11 50 38 7 13 28 30 19 10 40 29 9 4 21 35 25 49 41 39 42 12 44 3 15 46 6 36 23 14 45 18 47 16 1 31 33 22 5 34 20 48



2004 62,297 568 1 460 1,900 9,197 762 59 139 (NA) 1,359 1,276 75 789 3,654 1,858 3,676 2,928 984 661 70 248 158 919 2,891 1,140 1,385 436 3,015 53 11 152 155 502 1,638 1,892 1,572 808 825 1,049 6 386 1,238 861 3,363 230 42 511 1,887 38 1,369 47

3



2003 56,209 388 1 453 1,445 8,156 871 50 115 (NA) 1,299 923 71 836 3,203 1,563 3,651 2,975 904 476 61 215 126 892 2,699 793 1,207 393 3,123 35 8 147 137 453 1,300 1,556 1,190 619 722 1,008 3 251 899 662 3,419 253 31 445 1,912 35 1,408 36

3



2000 50,744 392 1 718 980 6,867 946 116 114 (NA) 1,277 909 79 776 3,026 1,402 3,177 3,156 740 427 60 224 157 831 2,275 605 1,074 350 3,013 16 6 104 97 476 1,318 1,180 1,174 531 626 929 2 263 1,067 488 3,137 248 16 459 1,562 31 1,378 43



912,452 1,054,827 1,070,422 15,210 30,064 8,442 4,724 91,936 12,580 12,789 6,433 4,433 28,446 24,973 8,198 2,131 41,723 28,139 6,017 4,837 23,731 27,182 5,873 10,191 23,265 40,201 9,763 4,924 15,044 1,716 1,748 6,532 4,300 31,829 4,454 63,047 20,571 830 32,000 7,301 9,286 30,666 3,055 20,272 684 18,650 85,802 10,463 1,537 15,332 16,098 7,299 17,192 10,539 17,037 (D) 9,390 6,103 118,426 12,654 14,468 6,603 5,187 35,481 29,362 9,787 2,598 48,910 29,744 7,169 5,098 23,116 32,551 5,266 12,866 25,563 52,465 12,089 4,800 14,918 (D) 2,106 8,164 5,321 36,918 5,482 68,860 22,875 1,753 35,158 7,743 12,265 33,528 3,310 22,762 1,157 20,961 103,573 13,552 2,614 20,668 18,946 7,115 15,842 10,215 16,646 28,964 10,716 4,613 121,040 15,319 13,604 6,114 4,247 38,755 29,510 10,369 2,749 48,425 30,179 7,186 9,036 22,091 31,160 5,087 13,157 23,875 39,238 13,472 4,121 15,773 3,099 2,737 10,128 5,124 35,115 5,801 68,522 29,931 1,824 37,530 7,635 13,178 34,106 3,394 23,563 1,011 20,842 110,032 14,340 2,146 23,570 22,257 7,061 13,961 8,072



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



D Withheld to avoid disclosure of individual companies.

1



NA Not available.



X Not applicable.



U.S. business enterprises in which one foreign owner (individual, branch, partnership, association, trust corporation, or government) has a direct or indirect voting interest of 10 percent or more. 2 Excludes unreported, not specified, 2nd special category exports, and estimated shipments, and reexports. 3 The U.S. totals include unallocated exports not included in states. Survey, Census, or Data Collection Method: U.S. affiliates—Based on the Bureau of Economic Analysis 2002 Benchmark Survey; for information, see the following document at ; U.S. exports—Based on documents collected by the U.S. Customs Service; for information, see the following document at ; U.S. agricultural exports—Based on Custom District-level export data compiled by the U.S. Census Bureau and State-level agricultural production data supplied by the U.S. Department of Agriculture’s National Agricultural Statistical Service (NASS); for information, see Internet site . Sources: U.S. affiliates—U.S. Bureau of Economic Analysis, Survey of Current Business, August 2004 and prior issues; Foreign Direct Investment in the United States, Operations of U.S. Affiliates of Foreign Companies, annual; U.S. exports—U.S. Census Bureau, U.S. International Trade in Goods and Services, series FT-900, December issues. For most recent release, see (released 10 February 2005); U.S. agricultural exports—U.S. Department of Agriculture, Economic Research Service, U.S. Agricultural Trade database, Internet site (released 8 July 2005).



68



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-50. States — Farms and Farm Earnings

Farms (USDA)1 (as of June 1) Geographic area Farm earnings (BEA)2 (mil. dol.) Number (1,000) 2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,113 44 1 10 48 77 31 4 2 (X) 43 49 6 25 73 59 90 65 85 27 7 12 6 53 80 42 106 28 48 3 3 10 18 36 52 30 77 84 40 58 1 24 32 85 229 15 6 48 35 21 77 9 X Not applicable. 2003 2,127 45 1 10 48 79 31 4 2 (X) 44 49 6 25 73 60 90 65 87 27 7 12 6 53 80 43 106 28 49 3 3 10 18 37 54 30 78 84 40 58 1 24 32 87 229 15 7 48 36 21 77 9 2000 2,167 47 1 11 48 83 30 4 3 (X) 44 49 6 25 77 63 94 65 90 29 7 12 6 53 81 42 109 28 52 3 3 10 18 38 56 31 79 85 40 59 1 24 32 88 228 16 7 49 37 21 78 9 2004 936.6 8.7 0.9 26.4 14.4 26.7 30.9 0.4 0.5 (X) 10.1 10.7 1.3 11.8 27.5 15.0 31.7 47.2 13.8 7.9 1.4 2.1 0.5 10.1 27.6 11.1 30.1 60.1 45.9 6.3 0.5 0.8 44.7 7.6 9.0 39.4 14.6 33.7 17.2 7.7 0.1 4.9 43.8 11.6 130.0 11.6 1.3 8.6 15.2 3.6 15.5 34.4 Land in farms (mil. acres) 2003 938.7 8.9 0.9 26.5 14.4 27.1 31.0 0.4 0.5 (X) 10.2 10.8 1.3 11.8 27.5 15.0 31.7 47.2 13.8 7.9 1.4 2.1 0.5 10.1 27.7 11.1 30.1 60.1 45.9 6.3 0.5 0.8 44.7 7.7 9.1 39.4 14.6 33.7 17.2 7.7 0.1 4.9 43.8 11.6 130.5 11.6 1.3 8.6 15.3 3.6 15.6 34.4 2000 945.1 9.0 0.9 26.9 14.6 28.0 31.6 0.4 0.6 (X) 10.4 10.9 1.4 11.9 27.5 15.2 32.5 47.5 13.7 8.0 1.4 2.1 0.5 10.2 27.9 11.2 30.2 59.3 46.1 6.4 0.4 0.8 44.9 7.7 9.2 39.4 14.8 33.8 17.3 7.7 0.1 4.9 44.0 11.8 130.9 11.6 1.3 8.7 15.6 3.6 16.0 34.5 Average acreage per farm 2004 443 198 1,452 2,588 303 347 1,000 86 230 (X) 235 218 236 472 377 253 353 732 162 289 190 169 85 190 346 262 284 2,146 950 2,100 132 83 2,554 211 173 1,300 189 404 430 132 71 199 1,386 136 568 758 195 181 434 173 203 3,743 2003 441 198 1,475 2,573 303 345 987 86 230 (X) 232 219 236 472 377 253 352 732 159 289 190 170 85 189 346 260 284 2,146 946 2,100 132 83 2,554 207 170 1,300 188 404 430 132 71 199 1,386 133 570 758 192 181 431 173 204 3,743 2000 436 191 1,569 2,514 304 337 1,053 86 215 (X) 236 222 251 486 357 240 346 736 152 277 190 172 89 192 344 266 277 2,133 887 2,065 133 86 2,494 205 166 1,279 187 400 433 130 75 203 1,358 134 573 748 192 180 420 173 206 3,750 2003 45,594 1,146 14 861 1,503 8,479 724 185 120 – 1,597 2,251 221 924 1,066 653 1,191 778 614 588 96 289 111 550 892 914 760 179 1,943 99 39 264 640 791 1,433 931 791 1,193 963 1,024 17 525 994 141 3,569 262 130 381 1,476 –35 1,119 199 2002 32,257 815 16 1,079 563 7,907 524 150 56 – 1,940 1,384 217 995 563 41 1,572 190 315 207 89 138 98 412 539 257 82 166 629 81 29 256 539 612 1,210 344 102 749 768 485 14 152 29 –88 3,289 196 112 106 1,490 –69 805 106 2000 44,482 955 15 684 1,218 8,089 567 191 122 – 1,750 1,650 212 867 1,338 553 1,656 705 1,442 502 146 354 116 560 1,016 724 657 244 963 97 42 304 504 770 2,579 962 936 715 849 1,148 16 489 1,116 383 2,765 201 163 521 1,607 26 877 115



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



– Represents zero.

1 2



U.S. Department of Agriculture. Bureau of Economic Analysis.



Survey, Census, or Data Collection Method: Farms—Based on the National Agricultural Statistics Service (NASS) June Agricultural Survey; for information, see the report listed above at ; Income—Based on the Regional Economic Information System; for information, see Internet site . Sources: Farms—U.S. Department of Agriculture, National Agricultural Statistics Service, Farm Numbers and Land in Farms, Final Estimates, 1998–2002; and Farms, Land in Farms, and Livestock Operations 2004 Summary, January 2005; Income—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



69



Table A-51. States — Farm Finances and Income

Balance sheet of farming sector (USDA)1 Geographic area Assets (mil. dol.) 2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

2



Farm income (USDA)1 Debt (mil. dol.) Value of agricultural sector production (mil. dol.) 2000 177,637 2,054 24 1,448 4,315 17,837 3,686 284 378 (X) 4,771 3,600 254 3,012 9,383 5,655 13,117 7,141 3,433 1,777 395 1,087 387 3,074 8,969 2,887 6,015 2,685 9,325 259 104 465 1,419 2,509 3,688 3,981 4,239 4,413 2,519 2,828 39 1,143 4,198 2,605 11,970 857 378 2,069 3,504 408 5,983 1,067 2003 240,915 4,128 57 3,029 5,952 29,377 5,562 561 859 (X) 6,833 6,195 600 4,440 9,289 5,957 13,122 10,365 4,299 2,272 563 1,757 469 4,403 9,249 3,934 5,728 2,382 11,960 460 181 963 2,275 3,581 8,840 4,377 6,012 5,041 3,990 5,034 66 1,959 4,787 2,953 17,966 1,385 562 2,761 5,921 503 6,756 1,204 2002 219,744 3,722 56 3,501 5,111 28,307 5,216 528 797 (X) 7,036 5,324 583 4,554 8,075 5,084 12,784 8,290 3,821 1,964 528 1,603 476 4,104 8,921 3,319 5,293 2,213 9,727 435 173 965 2,125 3,510 8,151 3,668 4,899 4,531 3,695 4,583 64 1,546 3,692 2,740 15,624 1,285 561 2,613 5,865 489 6,601 990 2000 218,381 3,927 58 2,624 5,251 27,086 5,045 589 829 (X) 7,082 5,775 556 3,832 7,894 5,230 11,710 8,655 4,604 1,953 573 1,725 471 3,795 8,352 3,309 5,442 1,980 9,492 454 174 954 2,193 3,386 9,473 3,411 5,392 4,618 3,691 4,829 62 1,757 4,331 2,665 14,895 1,195 589 2,884 5,962 508 6,069 1,052



2002 1,304,049 17,919 655 41,734 24,664 92,970 25,687 2,642 1,813 (X) 32,711 28,185 4,175 17,925 81,893 43,078 77,600 36,901 28,553 12,327 2,106 8,609 4,012 28,171 51,633 16,281 50,575 25,786 45,461 3,432 1,097 6,774 11,963 14,943 29,022 24,810 41,737 29,073 20,234 25,125 418 9,232 26,551 29,756 107,480 12,687 3,034 23,696 21,774 5,121 40,780 11,244



2000 1,203,215 16,521 624 35,823 22,372 88,124 25,108 2,318 1,795 (X) 28,959 24,535 3,808 16,874 76,078 40,218 73,326 36,983 25,704 11,798 1,923 7,887 3,490 24,548 46,958 15,197 45,005 24,516 44,121 3,311 988 5,972 11,441 13,967 26,880 22,485 38,537 26,587 18,659 23,442 377 8,338 24,696 26,990 98,539 11,424 2,699 21,619 20,786 4,567 36,065 10,217



2003 197,998 2,361 26 1,575 4,884 19,955 4,143 338 433 (X) 5,372 4,115 283 3,289 10,480 6,391 14,434 7,820 3,907 1,976 423 1,283 445 3,513 9,982 3,202 6,725 2,900 10,085 303 123 539 1,612 2,808 4,235 4,357 4,898 4,717 2,763 3,230 46 1,330 4,479 3,013 13,286 951 435 2,441 3,788 456 6,699 1,150



2002 193,312 2,288 25 1,550 4,746 19,477 4,039 328 421 (X) 5,215 3,988 277 3,244 10,195 6,199 14,097 7,664 3,785 1,932 421 1,238 435 3,423 9,754 3,124 6,539 2,850 9,910 294 120 523 1,569 2,755 4,119 4,292 4,739 4,656 2,710 3,129 45 1,298 4,434 2,917 13,000 933 424 2,356 3,727 444 6,532 1,132



1,378,757 18,917 685 44,348 25,973 96,678 27,150 2,824 1,906 (X) 34,550 30,027 4,463 18,883 87,558 46,035 83,330 38,248 29,843 12,925 2,212 9,184 4,257 30,403 56,585 17,194 53,787 27,160 47,932 3,550 1,148 7,239 12,143 15,725 30,726 25,995 44,514 30,310 21,026 26,636 457 9,703 28,661 30,649 112,521 13,249 3,178 24,800 22,483 5,458 43,642 11,884



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



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Table A-51. States — Farm Finances and Income—Con.

Farm income (USDA)1 Geographic area Value of production, 2003 (dol.) Per operation United States2. . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113,273 91,725 92,971 294,033 125,309 374,235 177,149 133,457 373,533 (X) 155,294 125,656 109,027 177,598 127,244 100,114 145,796 160,700 49,412 83,542 78,137 145,204 76,815 82,612 115,607 91,910 54,034 85,070 246,606 153,485 53,102 97,223 129,986 96,793 165,233 144,469 77,468 60,369 99,756 86,499 77,308 80,302 151,475 33,940 78,454 90,519 86,394 58,121 166,795 24,193 88,310 130,854 Per acre 257 464 63 114 413 1,084 179 1,557 1,621 (X) 670 574 461 376 338 396 414 220 312 289 411 853 901 436 334 354 190 40 261 73 401 1,174 51 468 971 111 412 150 232 654 1,095 404 109 255 138 119 449 321 387 140 433 35 Government payments (mil. dol.) 2003 15,949 220 2 135 844 654 320 8 19 (X) 135 552 1 152 866 446 1,051 808 147 442 12 67 14 255 787 476 512 356 726 12 6 12 92 161 362 652 399 358 111 183 1 129 549 176 1,666 56 28 177 265 13 484 51 2000 22,896 171 2 107 901 667 351 18 25 (X) 57 380 12 261 1,944 938 2,302 1,232 448 452 14 88 11 381 1,502 464 869 490 1,407 4 5 22 79 160 447 1,170 678 440 137 148 1 144 790 299 1,647 36 26 152 353 24 603 34 2003 59,229 1,604 10 1,078 1,914 8,475 1,172 93 156 (X) 1,831 2,971 122 1,218 1,657 1,328 2,023 1,387 864 711 84 327 40 444 1,568 1,148 1,539 576 3,228 111 17 127 716 597 1,629 1,315 1,470 2,037 493 1,107 10 681 1,321 480 5,939 368 102 529 680 15 1,626 291 Net farm income (mil. dol.) 2002 37,277 1,106 11 1,435 931 6,168 698 45 64 (X) 2,428 1,830 118 1,196 839 373 2,044 252 411 212 56 133 27 298 738 335 555 250 822 82 2 125 537 387 1,246 525 528 1,130 381 467 6 163 320 136 5,246 254 84 210 971 −40 1,008 134 2000 47,897 1,195 16 720 1,591 5,402 711 183 144 (X) 2,627 2,010 112 957 1,502 852 2,341 1,016 1,677 504 137 390 69 259 1,301 750 955 260 1,374 100 20 248 501 569 3,296 1,027 1,241 996 409 1,100 12 547 1,358 541 3,868 232 144 690 1,005 45 756 137 Net farm income, 2003 (dol.) Per operation 27,848 35,654 16,491 104,635 40,301 107,959 37,313 22,118 67,686 (X) 41,614 60,265 22,170 48,708 22,699 22,315 22,474 21,502 9,928 26,138 11,724 27,009 6,577 8,340 19,605 26,832 14,519 20,571 66,554 37,093 4,855 12,861 40,894 16,141 30,444 43,410 18,948 24,391 12,330 19,017 11,516 27,894 41,801 5,519 25,935 24,044 15,733 11,129 19,166 713 21,255 31,679 Per acre 63 180 11 41 133 313 38 258 294 (X) 180 275 94 103 60 88 64 29 63 91 62 159 77 44 57 103 51 10 70 18 37 155 16 78 179 33 101 60 29 144 163 140 30 41 46 32 82 61 44 4 104 8



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



X Not applicable.

1 2



U.S. Department of Agriculture. The U.S. total exceeds the sum of the states in some cases because data for some states are not included in the state’s statistics due to disclosure issues. Based on the Agricultural Resource Management Survey (ARMS); for information, see Internet site .



Survey, Census, or Data Collection Method:



Source: U.S. Department of Agriculture, Economic Research Service, ‘‘Farm Income Summary Totals for 50 States’’; see Internet site , accessed 12 October 2004; ‘‘Farm Business Balance Sheet and Financial Ratios,’’ published 3 December 2004; see Internet site .



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71



Table A-52. States — Farm Marketings and Principal Commodities

Farm marketings Total marketings (mil. dol.) 2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211,647 3,415 51 2,586 5,298 27,805 4,964 485 760 (X) 6,450 5,246 549 3,953 8,290 5,162 12,633 9,046 3,469 1,993 499 1,467 385 3,821 8,588 3,411 4,973 1,892 10,621 396 150 846 2,140 3,139 6,916 3,778 4,662 4,526 3,284 4,266 57 1,644 4,018 2,339 15,342 1,138 482 2,227 5,345 390 5,876 874 2002 195,072 2,920 50 3,065 4,505 26,606 4,958 472 718 (X) 6,663 4,475 540 3,985 7,732 4,719 11,394 8,070 3,166 1,723 465 1,396 388 3,465 7,866 2,841 4,263 1,768 9,422 362 147 869 1,970 3,115 6,600 3,344 4,372 3,835 3,098 4,065 56 1,449 3,775 2,054 12,594 1,067 475 2,155 5,267 363 5,521 887 2000 192,078 3,271 53 2,234 4,547 25,266 4,616 505 733 (X) 6,786 5,030 523 3,395 6,996 4,518 10,773 8,040 3,641 1,655 520 1,443 400 3,322 7,374 2,729 4,561 1,844 8,956 387 154 844 2,108 3,130 7,309 2,748 4,347 4,251 3,095 4,121 53 1,502 3,731 1,926 12,969 1,020 507 2,296 5,126 397 5,367 959 2003 106,176 676 23 1,327 2,083 20,812 1,289 320 168 (X) 5,244 2,024 464 1,776 6,490 3,363 6,560 2,867 1,243 1,296 227 620 298 2,422 4,516 1,246 2,344 787 3,754 141 88 658 543 1,225 2,759 2,907 2,853 1,022 2,479 1,407 49 754 1,899 1,268 5,031 258 79 695 3,818 73 1,782 150 Crops (mil. dol.) 2002 101,257 534 22 1,972 1,547 20,345 1,458 310 171 (X) 5,448 1,585 454 1,986 6,183 3,183 6,248 2,747 1,193 1,073 214 612 298 2,175 4,245 890 1,979 767 3,582 149 85 680 573 1,241 2,660 2,546 2,742 912 2,288 1,389 47 688 1,730 1,120 4,505 254 76 703 3,715 70 1,729 136 2000 92,494 625 20 1,181 1,292 19,014 1,285 329 178 (X) 5,470 1,923 431 1,766 5,324 2,830 4,949 2,535 1,263 1,002 239 608 303 1,983 3,491 692 1,879 737 3,040 150 91 652 495 1,199 3,009 2,087 2,593 816 2,265 1,356 45 708 1,714 935 3,809 247 75 726 3,413 58 1,497 161 Livestock and products (mil. dol.) 2003 105,471 2,739 28 1,259 3,215 6,993 3,676 165 593 (X) 1,206 3,222 86 2,177 1,800 1,799 6,073 6,179 2,226 697 272 847 87 1,399 4,072 2,165 2,628 1,105 6,867 254 62 188 1,597 1,915 4,158 870 1,809 3,504 805 2,859 9 890 2,119 1,071 10,311 880 403 1,532 1,527 317 4,094 724 2002 93,816 2,386 28 1,093 2,959 6,261 3,500 162 547 (X) 1,214 2,889 86 1,999 1,549 1,536 5,146 5,323 1,973 649 251 784 89 1,290 3,622 1,952 2,284 1,001 5,840 213 63 189 1,398 1,875 3,940 798 1,629 2,923 809 2,676 8 761 2,046 934 8,089 813 399 1,451 1,553 294 3,792 751 2000 99,585 2,646 33 1,054 3,255 6,253 3,330 175 555 (X) 1,316 3,107 92 1,629 1,672 1,688 5,824 5,505 2,379 652 281 835 97 1,339 3,883 2,036 2,681 1,107 5,916 237 63 192 1,613 1,931 4,300 661 1,754 3,434 829 2,765 8 793 2,016 991 9,160 774 432 1,570 1,713 339 3,870 799 Top Cattle

1



Geographic area



Principal commodities, 2003



2nd Dairy products Cattle1 Hay Dairy products Soybeans Greenhouse2 Dairy products Dairy products Soybeans (X) Oranges Cotton Greenhouse2 Dairy products Soybeans Soybeans Hogs Wheat Cattle1 Cotton Dairy products Greenhouse2 Cranberries Greenhouse2 Soybeans Cotton Soybeans Wheat Corn Hay Dairy products Horses3 Cattle1 Greenhouse2 Broilers Cattle1 Corn Wheat Cattle1 Cattle1 Dairy products Greenhouse2 Soybeans Broilers Cotton Dairy products Cattle1 Cattle1 Dairy products Cattle1 Cattle1 Hay



3rd Corn Chicken eggs Dairy products Lettuce Rice Grapes Greenhouse2 Chicken eggs Corn (X) Cane for sugar Chicken eggs Cane for sugar Potatoes Hogs Hogs Soybeans Corn Broilers Cattle1 Chicken eggs Dairy products Dairy products Corn Hogs Soybeans Corn Barley Soybeans Dairy products Apples Blueberries Hay Hay Greenhouse2 Soybeans Dairy products Hogs Dairy products Greenhouse2 Corn, sweet Turkeys Corn Greenhouse2 Greenhouse2 Hogs Greenhouse2 Dairy products Cattle1 Chicken eggs Corn Sugar beets



Broilers Greenhouse2 Cattle1 Broilers Dairy products Cattle1 Greenhouse2 Broilers (X) Greenhouse2 Broilers Pineapples Cattle1 Corn Corn Corn Cattle1 Horses3 Cane for sugar Potatoes Broilers Greenhouse2 Dairy products Corn Broilers Cattle1 Cattle1 Cattle1 Cattle1 Greenhouse2 Greenhouse2 Dairy products Dairy products Hogs Wheat Soybeans Cattle1 Greenhouse2 Dairy products Greenhouse2 Broilers Cattle1 Cattle1 Cattle1 Cattle1 Dairy products Broilers Apples Broilers Dairy products Cattle1



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



X Not applicable.

1 2 3



Includes calves. Includes nursery. Includes mules. Based on the Agricultural Resource Management Survey (ARMS); for information, see Internet site .



Survey, Census, or Data Collection Method: Source:



U.S. Department of Agriculture, Economic Research Service, ‘‘Farm Income,’’ published 2 September 2004; see Internet site .



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Table A-53. States — Agricultural Census

Agriculture Number of farms (1,000) 2002 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,129.0 45.1 0.6 7.3 47.5 79.6 31.4 4.2 2.4 (X) 44.1 49.3 5.4 25.0 73.0 60.3 90.7 64.4 86.5 27.4 7.2 12.2 6.1 53.3 80.8 42.2 106.8 27.9 49.4 3.0 3.4 9.9 15.2 37.3 53.9 30.6 77.8 83.3 40.0 58.1 0.9 24.5 31.7 87.6 228.9 15.3 6.6 47.6 35.9 20.8 77.1 9.4 1997 2,215.9 49.9 0.5 8.5 49.5 88.0 30.2 4.9 2.7 (X) 45.8 49.3 5.5 25.6 79.1 66.7 96.7 65.5 91.2 30.4 7.4 13.3 7.3 53.5 78.8 42.2 111.0 27.6 54.5 3.2 3.9 10.0 17.9 38.3 59.1 32.3 78.7 84.0 40.0 60.2 1.0 25.8 33.2 91.5 228.2 15.8 7.1 49.4 40.1 21.5 79.5 9.4 Land in farms (mil. acres) 2002 938.3 8.9 0.9 26.6 14.5 27.6 31.1 0.4 0.5 (X) 10.4 10.7 1.3 11.8 27.3 15.1 31.7 47.2 13.8 7.8 1.4 2.1 0.5 10.1 27.5 11.1 29.9 59.6 45.9 6.3 0.4 0.8 44.8 7.7 9.1 39.3 14.6 33.7 17.1 7.7 0.1 4.8 43.8 11.7 129.9 11.7 1.2 8.6 15.3 3.6 15.7 34.4 1997 954.8 9.5 0.9 27.2 14.8 28.8 32.4 0.4 0.6 (X) 10.7 11.3 1.4 12.1 27.7 15.5 32.3 46.7 13.9 8.4 1.3 2.2 0.6 10.4 27.6 11.4 30.2 58.4 45.9 6.4 0.5 0.9 46.2 7.8 9.4 39.7 14.7 34.1 17.7 7.8 0.1 5.0 44.1 12.0 134.0 12.0 1.3 8.8 15.8 3.7 16.2 34.3 Average size of farm (acres) 2002 441 197 1,479 3,645 305 346 991 85 226 (X) 236 218 241 470 374 250 350 733 160 286 190 170 85 190 340 263 280 2,139 930 2,118 132 81 2,954 206 168 1,283 187 404 427 133 71 197 1,380 133 567 768 189 181 426 172 204 3,651 1997 431 191 1,608 3,194 300 327 1,071 83 221 (X) 233 228 263 470 350 233 334 712 153 275 177 165 79 195 350 271 272 2,115 841 2,000 118 85 2,583 204 160 1,227 187 405 442 130 65 193 1,330 131 587 760 186 177 393 172 204 3,633 Value of land and buildings1 (mil. dol.) 2002 1,144.9 15.1 0.3 10.6 21.2 96.1 23.8 3.5 2.3 (X) 29.3 22.6 4.6 15.3 66.7 38.4 64.2 32.6 25.5 12.2 2.3 8.5 4.6 27.1 41.8 15.6 45.3 23.3 35.7 2.8 1.4 7.4 10.6 12.9 28.0 15.8 39.6 23.8 20.4 26.3 0.6 10.1 19.6 28.5 100.5 9.0 2.5 23.3 22.4 4.8 35.8 10.2 1997 921.6 14.1 0.3 11.0 17.5 73.8 20.3 2.5 1.5 (X) 24.8 17.9 3.5 12.5 58.2 32.4 54.1 27.3 20.3 10.3 1.7 7.1 3.1 18.0 31.4 12.6 32.7 18.0 30.0 2.5 1.2 5.7 9.7 10.4 20.7 16.0 30.3 21.6 17.7 19.9 0.4 7.6 15.7 22.4 82.5 7.2 2.1 17.6 20.9 4.2 20.6 7.6 2002 Market value of agricultural products sold and government payments (mil. dol.) Total 207,192 3,343 48 2,427 5,189 25,906 4,651 474 627 (X) 6,264 5,030 534 4,002 8,089 5,008 12,813 9,074 3,174 1,939 472 1,326 389 3,917 8,926 3,262 5,248 2,093 10,051 451 149 754 1,750 3,228 7,059 3,526 4,461 4,606 3,248 4,343 56 1,528 4,050 2,259 14,664 1,143 497 2,416 5,465 488 5,871 902 Products sold 200,646 3,265 46 2,395 4,950 25,737 4,525 471 619 (X) 6,242 4,912 533 3,908 7,676 4,783 12,274 8,746 3,080 1,816 464 1,293 384 3,772 8,576 3,116 4,983 1,882 9,704 447 145 750 1,700 3,118 6,962 3,233 4,264 4,456 3,195 4,257 56 1,490 3,835 2,200 14,135 1,116 473 2,361 5,331 483 5,623 864



Geographic area



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



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Table A-53. States — Agricultural Census—Con.

2002



Geographic area Total number of farm operators (1,000) United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,115 63 1 12 70 125 50 7 4 (X) 64 67 8 39 102 86 127 90 123 39 11 19 10 80 114 58 158 43 71 5 6 15 23 58 76 42 114 121 66 87 1 34 46 123 335 24 11 70 56 30 118 16



Farms by value of sales (1,000) Cropland (1,000 acres) 434,165 3,733 98 1,262 9,576 10,994 11,531 171 457 (X) 3,715 4,677 211 6,153 24,171 12,909 27,153 29,542 8,412 5,072 537 1,487 208 7,984 22,729 5,823 18,885 18,316 22,521 940 129 548 2,575 4,841 5,472 26,506 11,424 14,843 5,417 5,121 24 2,270 20,318 6,993 38,658 2,067 568 4,194 8,038 1,173 10,729 2,990



Less than $2,500 826.56 19.56 0.21 3.45 16.41 23.36 13.02 1.90 0.61 (X) 19.11 23.99 1.41 11.59 20.80 21.62 23.44 20.44 32.92 11.84 3.63 5.12 2.59 23.29 29.02 22.45 36.11 10.12 9.82 1.11 1.76 5.23 7.51 14.24 22.10 9.31 28.92 29.93 18.87 24.39 0.29 14.50 6.95 42.74 102.07 7.29 2.67 18.42 15.01 12.05 30.49 2.90



$2,500– $9,999 436.49 12.51 0.16 1.25 12.21 13.30 5.95 0.92 0.27 (X) 8.83 10.18 1.63 4.12 9.46 10.93 8.64 10.70 25.34 6.40 1.46 2.27 1.27 9.86 9.91 8.83 26.91 3.94 5.25 0.55 0.73 1.81 2.85 6.59 12.28 2.48 17.74 22.38 8.78 11.02 0.21 4.75 3.19 25.17 61.60 2.85 1.31 13.62 6.35 5.11 11.18 1.51



$10,000– $24,999 256.16 5.21 0.09 0.68 6.31 9.46 3.78 0.50 0.16 (X) 5.24 4.88 1.06 2.44 7.98 7.33 9.41 9.26 13.15 3.04 0.73 1.32 0.72 6.43 8.10 3.89 18.09 3.04 5.85 0.31 0.30 0.95 1.59 4.18 5.86 3.08 10.64 12.83 3.91 5.98 1.30 2.12 3.53 10.01 28.59 1.73 0.63 6.74 3.45 1.88 8.36 1.22



$25,000– $49,999 157.91 1.93 0.05 0.43 2.18 7.13 2.52 0.24 0.15 (X) 3.31 2.41 0.51 1.60 7.26 5.11 10.04 6.72 6.53 1.42 0.39 0.73 0.42 4.02 7.24 1.59 9.34 2.72 6.03 0.21 0.19 0.49 0.89 2.73 2.70 3.07 6.33 7.37 2.41 3.29 0.65 0.92 3.84 3.69 13.23 1.03 0.40 3.06 2.38 0.70 5.93 0.99



$50,000– $99,999 140.48 1.25 0.03 0.31 1.87 6.80 2.18 0.19 0.18 (X) 2.49 1.59 0.31 1.37 8.05 4.95 11.72 6.28 3.49 1.30 0.31 0.67 0.39 3.23 8.02 1.07 6.93 3.03 6.62 0.23 0.13 0.38 0.74 3.07 2.21 3.85 5.30 4.34 1.88 3.82 0.56 0.60 4.56 2.13 8.77 0.79 0.39 1.85 2.16 0.38 7.24 1.00



$100,000 or more 311.39 4.67 0.07 1.19 8.51 19.59 3.93 0.44 1.02 (X) 5.11 6.27 0.49 3.89 19.47 10.36 27.42 11.02 5.12 3.43 0.68 2.10 0.69 6.49 18.54 4.36 9.42 5.03 15.78 0.58 0.25 1.06 1.59 6.45 8.79 8.83 8.87 6.45 4.19 9.60 0.11 1.66 9.67 3.85 14.66 1.59 1.17 3.92 6.60 0.70 13.93 1.81



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



X Not applicable.

1



Based on reports for a sample of farms.



Survey, Census, or Data Collection Method: Based on the 2002 Census of Agriculture; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site . Source: U.S. Department of Agriculture, National Agricultural Statistics Service, 2002 Census of Agriculture, Vol. 1; see also .



74



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Table A-54. States — Natural Resource Industries and Minerals

Natural resource industries1 Annual payroll (bil. dol.) Value of nonfuel mineral production (mil. dol.) Crude petroleum Mineral fuels, 2003



Establishments Geographic area



Number of employees2 2002 Percent of all industries 1.49 (D) (D) 1.13 3.72 0.86 1.09 0.54 (D) (D) 0.73 (D) (D) (D) 0.87 1.59 1.53 1.23 3.09 4.30 (D) 0.64 0.70 0.95 1.55 (D) 1.11 (D) (D) 1.14 1.26 0.61 2.92 0.52 1.74 (D) 1.20 (D) 3.90 1.48 (D) 1.90 1.25 1.71 2.16 1.39 (D) 1.64 2.16 5.94 3.05 (D)



Natural gas



Coal



2002 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,021 1,907 445 676 1,622 5,111 1,528 396 99 9 2,168 2,178 89 918 1,818 1,373 710 1,219 1,483 2,521 1,107 521 961 1,864 1,170 1,562 1,291 838 407 326 434 787 780 2,051 2,209 359 2,201 2,536 2,275 2,879 146 1,091 244 1,306 8,367 551 354 1,771 2,499 1,298 1,697 869



2000 72,932 1,954 497 652 1,649 4,991 1,507 401 104 (NA) 2,106 2,122 95 947 1,760 1,346 674 1,208 1,459 2,599 1,064 533 926 1,959 1,150 1,619 1,304 831 399 331 447 740 735 2,025 2,233 347 2,197 2,458 2,319 2,887 162 1,107 230 1,361 8,412 507 360 1,801 2,601 1,307 1,705 796



Total 1,676,938 (D) (D) 22,009 36,260 111,061 20,751 8,434 (D) (D) 46,496 (D) (D) (D) 45,378 39,964 18,794 13,502 45,199 68,155 (D) 13,108 21,143 36,776 36,461 (D) 26,219 (D) (D) 10,630 6,937 21,910 16,205 37,611 57,966 (D) 56,681 (D) 51,880 74,489 (D) 29,167 3,792 39,220 172,332 12,500 (D) 47,809 47,188 33,375 71,859 (D)



2000



2002



2000

3



2004 prel. 44,000 982 1,320 3,000 514 3,620 762 132 6 21 (NA) 2,220

6 3



2003 38,000 863 1,060 2,100 445 3,170 672 142 6 16 (NA) 2,000

6 3



2000 40,100 1,070 1,140 2,550 506 3,350 566 100 6 12 (NA) 1,920

6



Quantity (mil. bbl.)



Value (mil. dol.)

4



Quantity (mil. cubic feet) 19,911,802 346,145 489,757 443 169,599 337,216 1,011,285 (X) (X) (X) 3,087 (X) (X) (X) 174 1,464 (X) 418,893 87,608 1,350,399 (X) 48 (X) 236,987 (X) 133,901 (X) 86,027 1,454 7 6 (X) (X) 1,604,015 36,137 (X) 55,693 93,641 1,558,155 731 159,827 (X) (X) 1,103 1,803 5,243,567 268,058 (X) 81,086 (X) 187,723 (X) 1,539,318

4



Value (mil. dol.) 97,250 2,051 1,179 2 877 1,698 4,591 (X) (X) (X) – (X) (X) (X) – 8 (X) 1,815 398 7,614 (X) (Z) (X) 950 (X) 688 (X) 321 5 – (X) (X) 7,307 209 (X) 197 552 7,737 3 – (X) (X) 5 9 27,171 1,103 (X) – (X) – (X) 6,362

5



Quantity (1,000 short tons) 1,071,753 20,118 1,081 12,059 8 (X) 35,831 (X) (X) (X) (X) (X) (X) (X) 31,640 35,355 (X) 154 112,680 4,028 (X) 5,056 (X) (X) (X) 3,695 533 36,994 (X) (X) (X) (X) 26,389 (X) (X) 30,775 22,009 1,565 (X) 63,725 (X) (X) (X) 2,564 47,517 23,069 (X) 31,596 6,232 139,711 (X) 376,270

5



Value (mil. dol.) 19,131 679 (NA) (NA) (NA) (X) 652 (X) (X) (X) (X) (X) (X) (X) 763 795 (X) (NA) 3,172 (NA) (X) 115 (X) (X) (X) (NA) (NA) 348 (X) (X) (X) (X) 612 (X) (X) 270 486 44 (X) 1,705 (X) (X) (X) 74 701 394 (X) 957 (NA) 4,194 (X) 2,536



1,791,320 66,675 66,576 57,636 (D) 24,518 38,457 118,975 21,655 8,729 (D) (D) 46,187 71,686 (D) (D) 50,435 42,385 19,803 13,287 46,356 66,584 (D) (D) 23,427 42,631 41,085 34,592 29,285 (D) 6,257 12,045 7,778 23,394 15,863 42,372 65,173 (D) 63,055 33,963 58,428 77,926 (D) 32,073 (D) 43,671 168,687 12,958 (D) 49,717 54,268 29,882 77,602 (D) (D) (D) 708 1,214 4,170 1,036 361 (D) (D) 1,500 (D) (D) (D) 1,805 1,396 661 465 1,660 3,122 (D) 464 843 1,430 1,621 (D) 824 (D) (D) 545 253 931 697 1,435 1,917 (D) 2,082 (D) 1,915 2,822 (D) 1,073 127 1,287 8,731 516 (D) 1,788 1,953 1,335 2,833 (D) 2,073 (D) 813 1,221 4,213 970 359 (D) (D) 1,361 2,426 (D) (D) 1,923 1,378 671 438 1,600 2,949 (D) (D) 904 1,607 1,705 1,043 872 (D) 191 598 273 981 648 1,507 2,068 (D) 2,223 1,374 1,974 2,786 (D) 1,106 (D) 1,407 7,659 516 (D) 1,723 2,068 1,141 2,931 (D)



2,073 57,144 8 356 (Z) 7 250 21 (X) (X) (X) 3 (X) (X) (X) 12 2 (X) 34 3 90 (X) (NA) (X) 7 (X) 17 (Z) 19 3 (Z) (X) (X) 66 (Z) (X) 29 6 65 (NA) 2 (X) (X) 1 (Z) 406 13 (X) (Z) (X) 1 (X) 52 228 8,503 (NA) 192 6,608 648 (X) (X) (X) (NA) (X) (X) (X) 340 53 (X) 974 69 2,750 (X) (NA) (X) 190 (X) 456 (NA) 554 79 (NA) (X) (X) 1,952 (NA) (X) 861 159 1,942 (NA) 72 (X) (X) 36 (NA) 11,821 378 (X) (NA) (X) 37 (X) 1,396



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



1,830 75 322 1,030 774 533 741 674 364 122 478 221 1,530 6 1,590 189

6



1,670 6 74 294 911 734 477 688 559 331 100 186 1,350 6 1,230 174 1,290 492 6 94 2,940 6 64 272 533 978 676 38 968 479 311 6 1,260 6 26 484 206 606 2,030 1,260

6 73 727 430 168 6 404 1,010 6 6 382 6



1,660 91 398 907 729 510 624 497 404 102 357 210 1,670 1,570 157 1,320 582 170 2,800 6 59

6 6



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



1,540 582 6 95 3,250 6 65 330 811 1,060 822 52 1,090 498 356 6 1,400 6 37 586 210 660 2,400 1,740

6 69 868 447 179 6 487 1,090 6



286 812 970 779 42



1,060 453 439 6 1,250 6 24 560 260 770 2,050 1,420

6 43 692 691 182 6 349 922



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



– Represents zero.

1 2 3



D Withheld to avoid disclosure of individual company data.



NA Not available.



X Not applicable.



Z Less than $500,000 or 500,000 barrels.



Includes Agriculture, forestry, fishing and hunting (NAICS 11), Mining (NAICS 21), Wood product manufacturing (NAICS 321), and Paper manufacturing (NAICS 322). Covers full- and part-time employees who are on the payroll in the pay period including March 12. Includes concealed data not distributed by state. 4 States may not add to U.S. totals due to independent rounding. 5 U.S. total includes refuse recovery not distributed by state. 6 Partial data only; excludes values withheld to avoid disclosing individual company data. Concealed data included in U.S. total. 7 All of Nevada’s marketed production was consumed as lease fuel. Survey, Census, or Data Collection Method: Natural resource industries—Based on tabulations of data extracted from the U.S. Census Bureau’s Business Register; for information, see Internet site ; Nonfuel minerals—Based on U.S. Geological Survey Mineral Industry Surveys; for information, see Internet site ; Crude petroleum—Based on the Petroleum Supply Reporting System (PSRS); for information, see the above reports at ; Natural gas—Based on Energy Information Administration Survey Form EIA-895, ‘‘Monthly and Annual Quantity and Value of Natural Gas Production Report’’; for information, see the following report at ; Coal—Based on U.S. Department of Labor, Mine Safety and Health Administration, Form 7000-2, ‘‘Quarterly Mine Employment and Coal Production Report’’ and Energy Information Administration Form EIA-7A, ‘‘Coal Production Report’’; for information, see the following report at . Sources: Natural resource industries—U.S. Census Bureau, County Business Patterns, annual, see Internet site ; Nonfuel minerals—U.S. Geological Survey, Mineral Commodity Summaries, annual, see also ; Crude petroleum—U.S. Energy Information Administration, Petroleum Supply Annual, and Petroleum Marketing Annual, see Internet site ; Natural gas—U.S. Energy Information Administration, Natural Gas Annual, 2003, see Internet site ; Coal—U.S. Energy Information Administration, Annual Coal Report, 2003, see Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



75



Table A-55. States — Utilities

Private utilities1 Establishments Geographic area Number of employees 2002 Percent of all industries 0.58 0.95 0.92 0.54 0.84 0.39 0.39 0.70 0.65 0.55 0.47 0.70 0.56 0.76 0.65 0.61 0.60 0.60 0.53 0.81 0.57 0.53 0.44 0.63 0.53 0.94 0.66 0.94 0.34 0.61 0.60 0.59 0.91 0.60 0.56 1.30 0.57 0.77 0.50 0.69 0.39 0.70 0.73 0.17 0.63 0.52 0.68 0.57 0.24 1.34 0.69 1.29 Nontransient, noncommunity6 19,025 31 220 197 40 1,418 163 658 105 3 1,009 242 13 244 405 686 144 52 50 179 369 573 250 1,631 563 95 241 227 188 106 444 870 147 757 566 29 970 120 337 1,213 78 171 28 46 785 63 234 602 315 154 907 87 Transient, noncommunity7 87,328 70 969 605 341 3,055 944 1,737 177 (NA) 3,341 550 3 1,029 3,700 2,897 713 101 65 312 1,221 2,621 939 8,841 6,273 118 1,016 1,157 583 251 1,137 2,644 483 6,432 4,322 174 3,191 355 1,437 6,544 321 576 194 424 1,225 433 678 1,293 1,541 534 9,376 385 Nontransient, noncommunity6 5,690 19 47 129 10 423 73 129 25 5 265 71 11 52 144 197 48 19 18 70 72 169 69 355 89 74 74 60 44 38 91 217 39 327 156 4 237 20 76 513 27 55 12 29 322 28 43 306 139 45 191 19 Transient, noncommunity7 18,425 7 97 120 17 6,095 271 61 57 (NA) 296 88 – 114 391 408 88 4 9 73 197 172 174 1,039 511 24 128 174 88 28 233 381 131 2,916 355 15 483 27 224 842 55 36 27 60 245 68 165 216 415 35 689 76 Annual payroll ($1,000) Number of systems Water systems, 2004 Population served (1,000)



2002 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,432 507 99 276 435 1,166 383 154 42 34 685 609 44 184 512 524 294 278 320 632 116 125 264 458 310 624 425 226 145 118 100 330 220 449 419 119 652 455 245 764 35 315 153 173 2,458 167 66 340 342 233 294 114



2000 17,301 489 97 261 409 981 367 143 42 44 638 603 44 190 442 490 288 274 346 557 110 120 254 440 269 616 405 213 139 109 102 314 205 411 393 120 663 494 226 699 34 288 134 171 2,216 152 64 295 321 238 266 115



Total 648,254 15,022 1,960 10,448 8,203 50,733 7,517 10,919 2,548 2,319 30,240 23,825 2,482 3,455 34,059 15,322 7,344 6,614 7,711 12,784 2,770 10,860 13,271 24,421 12,492 8,465 15,637 2,831 2,557 5,717 3,278 21,089 5,041 43,321 18,463 3,302 27,213 9,225 6,636 34,985 1,638 10,824 2,219 3,932 50,173 4,717 1,767 16,534 5,309 7,502 16,262 2,298



2000 655,230 14,616 1,810 9,923 7,517 51,289 7,851 11,343 2,399 (9) 29,885 23,373 2,480 3,375 31,173 18,156 7,769 7,688 9,940 12,989 3,120 12,034 11,904 25,216 13,372 9,121 17,242 3,098 1,499 5,293 3,276 20,958 5,508 40,260 19,551 3,175 27,940 9,652 8,225 35,112 (8) 11,766 (8) 3,367 49,927 5,354 (8) 16,163 6,237 7,943 14,192 2,612



2002 41,845 954 129 662 417 3,485 453 763 188 159 1,698 1,697 167 215 2,670 929 388 378 442 762 134 711 1,030 1,519 829 447 934 168 100 387 194 1,297 263 3,314 1,127 191 1,638 489 429 2,400 104 584 111 185 3,145 346 125 1,125 330 428 1,065 139



2000 40,651 893 123 606 382 3,415 446 788 148 (D) 1,754 1,402 164 184 2,318 1,017 391 410 545 722 150 813 881 1,681 818 451 1,023 176 106 362 197 1,505 260 2,761 1,079 168 1,630 517 514 2,493 (D) 620 (D) 137 3,029 304 (D) 971 365 412 845 142



Total 157,760 720 1,625 1,591 1,109 7,596 1,937 2,981 508 6 6,231 2,481 131 2,025 5,897 4,423 1,999 1,064 532 1,602 1,989 3,696 1,712 11,910 7,801 1,383 2,720 2,060 1,377 610 2,279 4,121 1,275 10,005 7,062 523 5,479 1,610 2,648 9,892 482 1,406 689 1,151 6,499 947 1,347 3,158 4,130 1,224 11,369 748



Community5 51,407 619 436 789 728 3,123 830 586 226 3 1,881 1,689 115 752 1,792 840 1,142 911 417 1,111 399 502 523 1,438 965 1,170 1,463 676 606 253 698 607 645 2,816 2,174 320 1,318 1,135 874 2,135 83 659 467 681 4,489 451 435 1,263 2,274 536 1,086 276



Total 289,947 5,203 609 5,162 2,531 39,396 5,329 2,897 874 611 17,767 7,523 1,292 1,119 12,103 5,273 2,695 2,586 4,621 5,029 885 5,186 9,219 8,672 4,564 3,139 5,112 916 1,548 1,961 1,127 8,490 1,760 21,144 6,947 572 10,757 3,489 3,224 11,808 1,060 3,515 698 5,435 23,242 2,586 722 6,606 6,151 1,522 4,739 534



Community5 265,832 5,177 465 4,913 2,504 32,878 4,986 2,707 792 606 17,206 7,364 1,280 953 11,568 4,668 2,560 2,563 4,594 4,886 616 4,845 8,976 7,279 3,964 3,041 4,910 681 1,416 1,895 803 7,891 1,590 17,901 6,436 552 10,037 3,443 2,925 10,453 977 3,425 659 5,346 22,675 2,490 514 6,084 5,597 1,442 3,859 439



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



76



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-55. States — Utilities—Con.

Gas utilities



Geographic area 2003 All customers United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,610 877 114 1,014 625 10,224 1,593 515 142 121 649 353 33 307 3,787 1,737 929 935 800 1,023 26 886 1,438 3,251 1,433 491 1,486 264 457 645 103 2,646 544 4,269 1,064 126 2,225 953 701 2,558 244 574 171 1,158 4,186 731 35 1,007 986 395 1,699 83



Customers2 (1,000) 2003 All customers 8,927 105 113 83 72 708 198 85 21 16 45 56 3 31 555 264 120 102 111 185 5 98 230 522 280 85 176 32 63 80 17 397 53 550 145 24 299 109 75 357 30 122 25 173 1,417 90 8 134 132 59 255 13



Sales3 (trillion Btu)



Prices, 2003 (dollars per million Btu)



Residential 57,802 809 100 957 553 9,765 1,454 467 130 113 607 319 30 274 3,548 1,588 832 850 720 959 18 831 1,315 3,011 1,308 439 1,344 233 418 611 88 2,437 499 3,930 954 110 2,056 872 625 2,349 221 516 151 1,024 3,860 679 31 924 896 360 1,541 73



2002 62,034 869 110 981 626 10,149 1,550 509 138 125 647 347 34 293 3,801 1,756 922 928 793 1,021 25 867 1,414 3,244 1,406 487 1,481 259 450 614 102 2,523 533 4,307 1,011 125 2,346 957 634 2,527 242 566 167 1,132 4,130 712 35 987 951 1,672 395 137



2000 64,115 877 104 898 633 9,801 1,525 508 122 131 752 339 68 320 3,821 1,803 906 1,708 1,000 838 48 868 1,572 3,327 1,373 473 1,485 257 521 552 121 2,625 525 4,467 978 121 3,078 1,000 663 2,501 123 528 161 1,065 3,987 1,360 59 942 1,012 407 1,604 159



Residential 4,722 48 17 36 39 494 125 46 11 11 16 19 1 20 430 164 74 71 60 50 1 73 130 374 138 28 116 21 36 34 8 241 33 360 68 12 215 67 38 248 21 30 13 73 213 58 3 78 73 35 143 7



2002 8,864 104 113 88 74 757 213 86 19 15 45 57 3 34 545 248 121 109 104 197 5 86 169 501 280 75 180 34 64 82 15 363 61 513 139 25 286 115 78 319 27 143 24 165 1,497 94 8 121 139 250 52 19



2000 9,052 113 24 84 88 717 195 96 23 19 75 66 6 39 545 279 120 199 142 187 11 85 202 523 276 75 176 31 74 47 19 601 60 650 174 24 416 109 93 362 16 95 23 169 895 181 10 129 172 69 245 25



All customers 8.13 9.41 2.36 8.76 8.79 8.67 6.18 11.00 9.14 13.06 11.56 8.57 18.00 7.03 8.34 8.37 8.51 8.44 8.28 6.97 11.40 10.76 10.50 6.93 7.75 7.55 9.02 6.88 7.25 7.44 10.47 7.94 7.51 10.82 9.36 7.00 9.11 8.09 8.53 10.24 11.03 8.04 7.56 8.24 6.03 6.39 7.88 10.15 7.59 7.85 8.44 6.31



Residential 9.25 11.46 4.35 11.11 10.08 9.04 6.57 12.50 10.27 12.91 15.75 10.79 15.00 7.20 8.53 8.74 9.15 8.87 8.88 9.74 15.00 11.00 12.08 7.10 8.58 9.25 9.37 6.90 7.83 7.82 11.38 8.18 8.06 11.69 11.04 7.17 9.34 8.67 9.66 10.54 11.38 10.70 8.62 9.36 8.95 6.91 10.33 11.41 8.22 8.37 9.21 6.86



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



77



Table A-55. States — Utilities—Con.

Electric industry Net generation (bil. kWh) Geographic area 2003 Petroleum 3.07 0.24 13.35 0.05 0.57 1.24 0.07 6.98 23.23 100.00 17.50 0.96 77.46 (Z) 0.59 0.36 0.24 2.07 3.21 3.10 10.12 6.84 15.42 0.96 1.59 4.06 0.18 1.53 0.16 0.05 9.47 2.69 0.15 14.02 0.61 0.17 0.28 0.27 0.09 2.20 1.04 0.49 0.20 0.44 0.66 0.09 0.38 7.68 0.07 0.26 0.79 0.10 Natural gas 16.74 8.91 52.92 20.06 14.49 47.43 19.79 17.13 19.80 – 32.12 3.45 – 13.19 2.06 2.44 0.74 2.63 0.48 47.88 49.75 2.29 46.34 10.22 3.35 23.61 3.01 0.10 1.25 39.92 19.29 25.74 10.75 20.46 1.24 0.03 1.22 36.00 20.92 2.67 97.04 1.77 2.22 0.68 48.76 3.64 0.03 6.13 7.08 0.29 4.12 0.64 Hydroelectric 7.10 9.21 24.97 7.49 5.27 18.87 2.71 1.91 – – 0.12 3.34 0.82 80.15 0.07 0.34 1.87 0.03 4.30 0.94 16.72 5.07 2.22 1.24 1.48 – 0.75 33.13 3.22 5.29 6.16 0.07 0.52 17.63 5.64 5.50 0.35 2.97 67.90 1.62 0.11 3.91 53.83 13.02 0.24 1.11 19.14 2.37 71.69 1.43 3.07 1.36 All customers 3,488.2 83.8 5.6 64.1 43.1 238.7 46.5 31.8 12.6 10.9 217.4 123.7 10.4 21.2 136.0 100.5 41.2 36.7 85.2 77.8 12.0 71.3 54.7 108.9 63.1 45.5 74.2 12.7 25.9 30.1 11.0 76.6 19.3 144.2 121.3 10.5 151.4 50.4 45.2 141.0 7.8 77.1 9.1 97.5 322.7 23.9 5.4 101.5 78.1 28.3 67.2 13.3 Residential 1,273.5 29.4 2.0 27.7 15.6 80.7 15.7 13.2 4.2 1.9 112.6 48.2 3.0 7.1 43.2 30.7 12.8 12.6 24.7 28.6 4.2 26.7 19.3 33.7 20.6 17.7 31.4 4.1 8.9 10.3 4.3 27.3 5.4 47.1 49.3 3.7 49.5 20.2 17.7 49.8 3.0 26.4 3.7 37.7 121.4 7.2 2.0 40.9 31.9 10.5 21.4 2.3 All customers 7.42 5.88 10.50 7.34 5.57 11.62 6.77 10.17 6.96 7.43 7.72 6.32 14.47 5.22 6.88 5.37 6.11 6.35 4.42 6.93 9.79 6.45 10.63 6.85 6.01 6.46 6.02 6.16 5.64 8.29 10.80 9.46 7.00 12.44 6.86 5.47 6.75 6.35 6.18 7.98 10.47 6.08 6.35 5.84 7.50 5.41 10.98 6.27 5.86 5.13 6.64 4.76 Residential 8.70 7.39 11.98 8.35 7.24 12.00 8.14 11.31 8.59 7.66 8.55 7.70 16.73 6.24 8.38 7.04 8.57 7.71 5.81 7.84 12.37 7.73 11.68 8.35 7.65 7.60 6.96 7.56 6.87 9.02 11.98 10.69 8.69 14.31 8.32 6.49 8.27 7.47 7.06 9.55 11.62 8.01 7.47 6.55 9.16 6.90 12.82 7.76 6.31 6.24 8.67 7.04 Generation by selected major source, 2003—percent Net summer capacity (mil. kW) Sales to customers (bil. of kWh) Prices, 20034 (cents per kWh)



2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,883.2 137.5 6.3 94.4 50.4 192.8 46.6 29.5 7.4 0.1 212.6 124.1 11.0 10.4 189.1 124.9 42.1 46.6 91.7 94.9 19.0 52.2 48.4 111.3 55.1 40.1 87.2 26.3 30.5 33.2 21.6 57.4 32.7 137.6 127.6 31.3 146.6 60.6 49.0 206.3 5.6 93.8 7.9 92.2 379.2 38.0 6.0 75.3 100.1 94.7 60.1 43.6



2002 3,858.5 132.9 6.8 94.1 47.6 184.2 45.6 31.3 6.0 0.3 203.4 126.5 11.7 9.8 188.1 125.6 42.5 47.2 92.1 95.0 22.5 48.3 42.0 117.9 52.8 42.9 81.2 25.5 31.6 32.1 16.0 61.6 30.7 139.6 124.5 31.3 147.1 59.2 47.1 204.3 7.1 96.6 7.7 96.1 385.6 36.6 5.5 75.0 102.8 94.8 58.4 43.8



2000 3,802.1 124.4 6.2 88.9 43.9 208.1 44.2 33.0 6.0 0.1 191.8 123.9 10.6 11.9 178.5 127.8 41.5 44.8 93.0 92.9 14.0 51.1 38.7 104.2 51.4 37.6 76.6 26.5 29.1 35.5 15.0 58.1 34.0 138.1 122.3 31.3 149.1 55.6 51.8 201.7 6.0 93.3 9.7 95.8 377.7 36.6 6.3 77.2 108.2 92.9 59.6 45.5



Coal 50.83 55.78 8.67 40.35 46.63 1.21 77.47 14.22 54.47 – 31.83 63.38 14.98 0.87 46.54 94.29 85.05 75.40 91.65 24.12 1.98 57.31 22.52 60.87 64.77 42.55 85.08 64.90 68.80 51.47 18.17 17.06 88.02 17.13 58.61 93.95 91.91 60.50 8.79 56.22 – 39.92 43.19 59.55 38.76 94.62 – 49.25 11.08 97.63 69.39 97.05



Nuclear 19.67 23.04 – 30.28 29.15 18.46 – 54.42 – – 14.57 26.80 – – 50.11 – 9.47 19.09 – 17.00 – 26.21 10.29 25.10 24.37 27.16 11.12 – 26.26 – 42.95 51.76 – 29.55 32.06 – 5.78 – – 36.04 – 53.77 – 26.19 8.82 – 73.73 32.95 7.61 – 20.32 –



2003 948.4 30.2 1.9 23.5 13.5 57.9 10.4 7.6 3.4 0.8 49.4 34.8 2.3 3.0 45.5 25.6 10.1 10.9 19.1 25.7 4.3 12.5 13.9 30.4 11.5 17.3 20.0 5.2 6.7 7.5 4.2 18.6 6.3 36.7 27.3 4.7 34.1 18.2 12.9 42.4 1.7 20.7 2.7 20.9 99.6 5.8 1.0 21.3 27.7 16.1 14.3 6.6



2002 905.3 26.6 2.0 19.4 11.3 56.7 9.4 7.4 3.4 0.8 47.1 34.6 2.3 3.3 44.7 25.3 9.3 10.4 19.1 25.6 4.3 11.9 12.2 29.3 11.3 13.7 19.8 5.2 6.1 6.9 3.4 18.4 5.9 36.0 26.7 4.7 31.5 16.2 12.5 39.8 1.7 20.4 2.9 20.7 94.5 5.8 1.0 20.2 27.1 16.2 14.2 6.3



2000 809.4 23.5 2.1 15.3 9.7 51.9 8.4 6.4 2.1 0.8 41.5 27.8 2.4 3.0 36.3 23.3 9.1 10.1 16.8 21.0 4.2 10.4 12.4 25.8 10.3 9.0 17.3 5.2 6.0 6.7 2.9 16.5 5.6 35.6 24.5 4.7 28.4 14.1 11.3 36.7 1.2 18.7 2.8 19.5 81.7 5.2 1.0 19.4 26.1 15.0 13.6 6.2



2002 3,462.5 83.1 5.5 62.6 42.4 235.2 45.9 30.9 11.6 11.1 210.5 123.8 9.9 20.7 137.7 101.4 40.9 36.7 87.3 79.3 9.6 66.9 52.4 107.3 62.2 45.5 75.0 12.6 25.7 29.2 10.5 74.5 19.2 143.6 122.7 10.2 156.0 49.5 45.3 140.8 7.5 77.8 8.9 98.2 320.8 23.3 5.6 100.5 76.5 28.5 67.0 12.9



2000 3,309.6 83.5 5.3 61.0 41.6 221.3 43.0 30.0 10.8 10.6 195.8 119.2 9.7 22.8 125.6 97.8 39.1 35.9 78.3 80.7 6.4 60.6 48.9 104.4 59.8 45.3 72.6 12.5 24.3 27.8 10.0 62.8 18.8 124.5 119.9 9.4 161.1 49.6 50.3 98.1 7.1 77.0 8.3 95.7 318.3 23.2 5.6 96.7 93.2 27.7 65.1 12.4



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



– Represents zero.

1 2 3



D Data withheld to avoid disclosure.



NA Not available.



Z Less than .005 percent.



Covers Utilities (NAICS 22). Averages for the year. Excludes sales for resale. 4 Includes both bundled and unbundled 5 Includes any public water system that 6 Includes any public water system that 7 Includes any public water system that 8 1,000–2,499 employees. 9 2,500–4,999 employees.



consumers. supplies water to the same population year-round. regularly supplies water to at least 25 of the same people at least six months per year, but not year-round. provides water in a place such as a gas station or a campground where people do not remain for long periods of time.



Survey, Census, or Data Collection Method: Private utilities—Based on tabulations of data extracted from the U.S. Census Bureau’s Business Register; for information, see Internet site ; Water systems—Based on the Safe Drinking Water Information System/Federal version (SDWIS/Fed); for information, see Internet site ; Gas utilities—Based on the American Gas Storage Survey (AGSS); for information, see Internet site ; Electric industry—Based on the Office of Coal, Nuclear, Electric and Alternate Fuels (CNEAF) Internet Data Collection System (IDC); for information, see the following document at . Sources: Private utilities—U.S. Census Bureau, County Business Patterns, annual, see Internet site ; Water systems—Environmental Protection Agency, FACTOIDS: Drinking Water and Ground Water Statistics, 2004; see Internet site ; Gas utilities—American Gas Association, Arlington, VA, Gas Facts, annual (copyright); Electric industry—U.S. Energy Information Administration, Electric Power Annual, 2003, and previous editions; see also Internet site (accessed June 1, 2005); and Electric Sales and Revenue 2003, and previous editions; see also Internet site (issued January 2005).



78



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-56. States — Energy Consumption

2001 Geographic area Per capita3 (mil. Btu) 338 435 1,164 255 411 227 287 249 368 294 253 343 230 379 309 457 392 387 462 784 382 264 242 312 350 410 322 404 365 301 256 294 371 217 316 640 350 444 307 319 215 382 327 382 564 318 267 322 339 423 345 890 Percent change, 1990– 2001 13.8 14.7 26.0 42.3 29.0 4.1 35.7 10.6 16.0 –4.5 26.2 25.0 –13.0 24.3 8.3 11.5 19.6 –0.8 25.7 –2.6 5.0 12.6 9.3 9.5 25.8 15.3 19.6 4.4 20.1 57.6 22.0 7.0 13.6 10.0 24.1 29.4 4.0 10.5 7.4 6.1 8.7 20.0 17.5 19.0 21.1 31.6 20.7 17.8 –1.4 –7.6 26.5 9.0 Transportation 26,272 446 206 476 278 2,971 386 238 66 26 1,386 860 132 122 939 604 270 252 449 753 107 405 447 804 502 349 556 108 163 205 102 882 230 970 694 88 979 466 307 997 66 383 83 581 2,677 213 52 685 600 183 422 111 Natural gas (dry)4 22,845 342 413 245 232 2,514 385 149 52 31 570 363 3 82 971 514 225 274 217 1,340 101 191 364 929 345 341 289 67 124 181 25 586 262 1,206 216 63 836 548 236 669 99 147 37 265 4,435 168 8 247 323 152 363 104 Hydroelectric power5 2,118 85 14 80 26 256 13 3 – – 2 21 1 74 2 6 9 (Z) 39 7 27 12 (Z) 4 9 – 9 67 11 26 10 –1 2 225 26 14 5 23 291 11 (Z) 2 35 63 12 5 9 –13 557 10 21 9 Nuclear electric power 8,033 317 – 300 154 347 – 161 – – 330 352 – – 965 – 40 108 – 181 – 143 54 279 123 104 88 – 91 – 91 318 – 422 395 – 162 – – 770 – 521 – 299 399 – 44 269 86 – 120 – End-use sector,1 2001 (tril. Btu) Selected source, 2001 (tril. Btu)



Total2 (tril. Btu) United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,275 1,943 737 1,353 1,106 7,853 1,270 853 293 168 4,135 2,881 282 501 3,870 2,802 1,151 1,044 1,880 3,500 491 1,420 1,549 3,120 1,745 1,173 1,815 366 627 629 322 2,500 679 4,135 2,591 407 3,982 1,540 1,064 3,923 227 1,549 248 2,195 12,029 725 164 2,315 2,034 762 1,863 439



20002 (tril. Btu) 98,786 2,129 638 1,335 1,154 7,995 1,251 855 307 187 4,138 2,984 280 537 4,006 2,914 1,176 1,095 1,878 3,971 532 1,444 1,547 3,252 1,788 1,227 1,785 408 631 627 328 2,523 677 4,246 2,669 383 4,264 1,469 1,141 3,954 223 1,610 259 2,201 12,074 750 165 2,386 2,222 774 1,904 431



19902 (tril. Btu) 84,623 1,693 585 951 857 7,541 936 771 252 176 3,277 2,305 324 403 3,575 2,513 962 1,052 1,495 3,592 467 1,262 1,417 2,851 1,387 1,017 1,518 350 522 399 264 2,336 598 3,757 2,088 315 3,828 1,393 991 3,696 209 1,291 211 1,845 9,933 551 136 1,965 2,064 825 1,473 403



Residential 20,241 380 53 344 219 1,446 303 267 62 34 1,193 642 35 105 928 504 229 215 339 348 111 391 461 790 381 234 496 70 152 147 87 573 107 1,194 641 61 892 298 252 931 73 322 60 500 1,570 140 48 549 471 157 401 39



Commercial 17,332 254 65 312 148 1,509 287 215 52 104 958 503 39 95 829 397 179 192 246 264 74 372 379 598 336 163 389 60 130 108 65 554 122 1,303 513 56 682 233 208 709 63 235 50 369 1,356 140 33 534 377 111 313 51



Industrial2 32,431 863 413 221 462 1,928 294 134 113 4 598 876 77 180 1,173 1,296 472 385 846 2,135 199 252 261 928 526 427 374 128 182 169 68 491 220 667 743 203 1,429 544 298 1,286 26 609 54 746 6,426 233 31 547 586 311 729 238



Petroleum 38,333 540 292 524 379 3,604 462 439 147 34 1,990 1,034 240 155 1,304 837 401 391 704 1,491 233 568 762 1,042 674 486 719 168 218 250 178 1,246 251 1,713 950 138 1,305 588 368 1,454 100 470 112 708 5,521 261 89 911 843 215 668 157



Coal 21,905 846 16 424 274 68 400 40 38 1 726 772 18 11 994 1,567 445 355 1,011 240 8 317 109 797 353 198 716 184 228 189 40 112 297 315 757 420 1,343 377 43 1,379 (Z) 414 44 688 1,493 390 (Z) 482 100 872 495 500



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



– Represents zero.

1



Z Less than .5 trillion Btu.



End-use sector data include electricity sales and associated electrical system energy losses. 2 U.S. total energy and U.S. industrial sector include net imports of coal coke that is not allocated to the states. State and U.S. totals include net imports of electricity generated from nonrenewable energy sources. 3 Based on estimated resident population as of July 1. 4 Includes supplemental gaseous fuels. 5 Includes net imports of hydroelectricity. A negative number in this column results from pumped storage for which, overall, more electricity is expended than created to provide electricity during peak demand periods. Survey, Census, or Data Collection Method: Based on the State Energy Data System (SEDS); for information, see ‘‘Technical Notes’’ at Internet site . Source: 2004). U.S. Energy Information Administration, State Energy Data 2001 (formerly State Energy Data Report), Internet site (released December



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



79



Table A-57. States — Energy Expenditures

Current dollars 2001 Geographic area Total2, 3 (mil. dol.) United States . . . 693,599 Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,580 2,780 10,672 7,340 72,924 9,279 8,062 1,985 1,479 31,605 19,361 2,812 3,142 29,387 17,066 8,161 7,082 11,018 18,026 3,625 11,446 15,957 21,913 12,447 7,459 13,822 2,484 4,412 5,127 3,128 20,178 4,313 39,903 18,865 2,243 29,071 10,181 7,411 29,888 2,313 9,867 1,881 13,808 72,653 4,533 1,660 16,290 12,906 4,297 13,358 2,322 Per capita4 (dol.) 2,433 2,592 4,396 2,015 2,726 2,112 2,096 2,348 2,495 2,598 1,933 2,307 2,301 2,378 2,347 2,785 2,784 2,622 2,709 4,036 2,817 2,128 2,495 2,190 2,496 2,609 2,450 2,740 2,567 2,447 2,484 2,372 2,354 2,091 2,301 3,525 2,553 2,937 2,133 2,430 2,185 2,430 2,481 2,402 3,405 1,987 2,709 2,267 2,154 2,385 2,471 4,698 Percent change, 1990– 2001 20003 (mil. dol.) 19903 (mil. dol.) 2001 (mil. dol.) 2000 (mil. dol.) 1990 (mil. dol.) Residential Commercial Industrial3 Transportation Motor gasoline Natural gas Electric purchasers 244,814 4,345 567 4,526 2,464 27,483 2,638 2,937 744 740 15,376 7,484 1,349 1,037 9,311 5,130 2,408 2,223 3,361 5,070 1,270 3,983 6,062 7,068 3,618 2,719 4,414 720 1,333 2,172 1,129 6,785 1,316 16,449 7,804 535 10,200 3,016 2,494 10,757 847 4,317 548 5,325 22,979 1,198 607 5,928 4,141 1,392 3,931 564 Constant (2000) dollars1 End-use sector, 2001 (mil. dol.) Selected source, 2001 (mil. dol.) Petroleum product



Total 336,362 5,142 2,071 5,351 3,510 33,751 4,864 4,273 1,020 381 16,036 9,072 1,849 1,583 12,676 7,311 4,085 3,457 6,082 8,991 2,131 5,777 7,394 10,711 6,495 3,886 7,005 1,408 2,216 2,459 1,768 10,236 2,418 15,374 9,167 1,296 12,376 4,920 3,855 13,222 1,067 4,412 1,127 6,319 38,721 2,442 991 8,523 7,014 2,148 6,645 1,339



Coal 28,195 1,219 31 540 250 99 374 67 80 1 1,250 1,294 22 19 1,220 1,966 403 373 1,158 314 15 496 183 1,057 376 324 700 177 134 239 67 255 437 463 1,210 412 1,790 348 48 1,796 (Z) 665 46 864 1,993 454 (Z) 784 115 1,116 552 402



47.0 703,188 471,786 678,071 703,188 576,713 168,618 125,772 137,820 261,390 38.0 30.5 63.4 56.1 49.9 76.6 31.5 40.8 36.5 51.1 49.6 31.3 70.7 36.4 40.5 57.8 34.0 50.3 32.0 39.8 45.5 50.8 31.4 65.5 48.2 47.1 46.4 41.3 112.2 57.6 26.7 45.1 44.8 50.2 43.1 38.3 64.4 48.0 35.1 43.3 43.1 37.9 41.7 66.0 65.0 57.0 44.4 48.8 10.8 64.6 51.6 12,094 2,722 10,562 7,326 71,058 8,690 8,275 2,072 1,530 31,178 19,782 2,634 3,158 30,122 17,033 8,314 7,392 11,356 20,726 3,772 11,796 15,459 22,704 12,224 7,462 13,277 2,852 4,323 4,834 3,227 21,639 4,109 42,563 19,351 2,077 29,645 9,337 7,644 30,484 2,381 10,176 1,952 13,792 74,045 4,561 1,629 16,791 13,180 4,434 13,059 2,242 8,394 2,130 6,530 4,703 48,660 5,255 6,130 1,410 1,084 20,916 12,938 2,141 1,841 21,544 12,149 5,170 5,287 7,331 13,659 2,592 7,867 10,582 16,680 7,520 5,032 9,397 1,696 3,122 2,416 1,985 15,922 2,973 27,557 12,557 1,568 21,024 6,193 5,007 22,122 1,614 6,897 1,364 9,743 43,777 2,748 1,058 11,284 8,675 3,879 8,113 1,531 11,321 2,718 10,433 7,175 71,291 9,072 7,882 1,941 1,446 30,898 18,928 2,749 3,072 28,729 16,684 7,978 6,923 10,771 17,622 3,544 11,189 15,599 21,422 12,168 7,292 13,512 2,428 4,314 5,012 3,058 19,727 4,216 39,010 18,443 2,193 28,420 9,953 7,245 29,218 2,261 9,646 1,839 13,499 71,026 4,432 1,623 15,926 12,617 4,201 13,059 2,270 12,094 2,722 10,562 7,326 71,058 8,690 8,275 2,072 1,530 31,178 19,782 2,634 3,158 30,122 17,033 8,314 7,392 11,356 20,726 3,772 11,796 15,459 22,704 12,224 7,462 13,277 2,852 4,323 4,834 3,227 21,639 4,109 42,563 19,351 2,077 29,645 9,337 7,644 30,484 2,381 10,176 1,952 13,792 74,045 4,561 1,629 16,791 13,180 4,434 13,059 2,242 10,260 2,604 7,983 5,749 59,482 6,423 7,493 1,723 1,325 25,567 15,816 2,617 2,250 26,335 14,851 6,320 6,462 8,961 16,697 3,169 9,617 12,936 20,389 9,192 6,152 11,487 2,074 3,816 2,953 2,427 19,463 3,634 33,685 15,350 1,916 25,700 7,570 6,121 27,041 1,972 8,431 1,667 11,910 53,513 3,359 1,293 13,794 10,604 4,742 9,918 1,872 2,798 428 2,664 1,702 15,504 2,268 2,672 522 310 9,257 4,935 519 660 7,737 3,710 1,847 1,667 2,005 2,696 1,112 3,179 4,966 5,551 2,932 1,788 3,786 469 1,040 1,218 927 4,951 921 13,371 5,170 417 7,375 2,193 1,605 8,713 771 2,397 449 3,217 12,999 959 536 4,325 2,920 999 3,190 275 1,628 453 2,046 915 15,832 1,653 1,743 352 826 6,341 3,198 515 483 5,578 2,211 1,108 1,208 1,292 1,891 651 2,433 3,790 3,881 2,050 1,088 2,404 361 740 808 600 4,433 825 12,961 3,170 307 5,198 1,441 1,129 5,393 578 1,447 301 2,304 9,310 749 310 2,963 2,048 603 1,951 275 2,827 310 1,136 1,968 10,676 1,155 886 425 25 2,891 3,441 474 712 5,687 5,117 2,387 1,792 3,232 7,487 660 1,170 2,130 3,996 2,135 1,611 1,914 489 904 962 446 2,732 629 3,297 3,414 707 6,212 2,349 1,306 5,632 209 2,228 282 2,799 26,995 659 200 2,025 1,927 986 3,361 746 4,327 1,589 4,826 2,755 30,913 4,203 2,762 686 318 13,116 7,788 1,304 1,287 10,384 6,028 2,820 2,416 4,489 5,952 1,201 4,663 5,071 8,484 5,330 2,972 5,717 1,164 1,729 2,139 1,155 8,063 1,938 10,274 7,111 812 10,286 4,197 3,372 10,150 755 3,795 849 5,489 23,349 2,166 615 6,977 6,012 1,710 4,855 1,026



185,892 139,526 3,185 435 3,516 1,837 22,426 3,148 2,298 566 275 9,780 5,699 754 909 7,733 4,311 2,130 1,764 3,015 2,974 909 3,799 4,134 6,985 3,944 1,993 4,154 752 1,215 1,449 991 5,484 1,265 8,032 5,554 511 7,325 2,340 2,377 7,149 618 2,905 619 3,795 14,245 1,394 503 5,323 4,029 1,179 3,690 479 2,077 250 1,381 1,419 20,824 2,092 1,125 338 363 3,195 2,616 48 517 7,469 4,122 1,593 1,500 1,475 4,960 409 1,891 3,176 4,440 2,305 1,493 2,531 343 869 1,447 239 3,659 769 9,889 1,786 241 6,404 3,011 1,335 5,736 601 1,012 220 1,971 17,441 889 61 1,917 2,316 656 2,727 384



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



Z Less than $500,000.

1 Constant dollar estimates are computed by the U.S. Census Bureau using the price deflator for Gross Domestic Purchases of energy goods and services from the Bureau of Economic Analysis (Table 1.6.4 of the National Income and Product Accounts Table). See (revised 31 August 2005). 2 Includes sources not shown separately. Total expenditures are the sum of purchases for each source (including electricity sales) less electric utility purchases of fuel. 3 U.S. total includes coal coke net imports, which are not included in the states. 4 Based on estimated population as of July 1.



Survey, Census, or Data Collection Method: Based on the State Energy Data System (SEDS); for information, see ‘‘Technical Notes’’ at Internet site . Source: Except as noted, U.S. Energy Information Administration, State Energy Price and Expenditure Report, annual. See also .



80



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U.S. Census Bureau



Table A-58. States — Construction

Construction1 Geographic area Value of construction contracts4 (mil. dol.) Nonfarm employment (BLS) (1,000) 2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

7 6 2



Earnings (BEA) (mil. dol.) 2004 463,816 5,809 1,570 10,912 2,664 65,452 10,982 6,977 1,606 799 27,232 12,685 2,210 2,294 20,333 9,150 4,181 3,549 4,889 6,078 1,947 11,802 12,295 14,153 9,187 2,488 9,028 1,433 2,683 7,086 2,465 14,462 2,499 24,315 12,543 966 14,896 3,459 5,498 17,774 1,498 5,960 1,040 8,241 35,158 4,002 1,095 13,927 11,147 1,903 8,469 1,026 2003 430,782 5,374 1,476 9,731 2,489 58,288 10,390 6,151 1,423 815 23,667 11,881 2,038 2,053 19,967 8,622 3,824 3,424 4,734 5,946 1,814 10,727 11,817 13,592 8,707 2,508 8,553 1,310 2,545 5,959 2,274 13,294 2,269 23,580 11,512 838 14,169 3,420 5,008 16,943 1,446 5,622 985 7,797 33,948 3,598 948 12,335 10,319 1,657 7,984 1,009



3



New private housing units authorized by building permits5 (1,000)



2003

6



2000

6



2001 408,573 5,251 1,213 8,932 2,451 54,516 10,565 5,858 1,315 675 20,913 11,496 1,690 2,016 19,016 8,142 3,510 3,329 4,550 5,859 1,680 9,801 11,377 13,740 8,108 2,388 8,334 1,134 2,333 5,111 2,051 12,467 2,161 22,736 11,566 774 13,795 3,350 5,074 16,019 1,215 5,243 876 7,149 33,033 3,492 873 11,310 9,865 1,765 7,518 939



2004 586,986 8,329 1,919 21,188 4,421 65,984 13,950 5,080 1,455 1,663 58,162 23,628 2,363 3,867 21,251 13,155 5,832 4,943 7,559 6,193 2,246 9,416 9,856 14,319 10,974 3,995 10,061 1,206 3,400 11,206 2,576 11,233 3,949 23,064 21,488 1,194 18,394 5,449 7,719 15,881 1,314 11,731 1,541 12,037 48,535 6,528 1,177 15,840 14,193 2,053 12,352 1,121



2003 530,712 7,510 1,836 17,793 3,999 60,321 11,543 4,820 1,555 1,806 49,501 20,202 2,308 3,060 19,071 12,680 6,514 4,568 7,147 6,602 2,096 9,170 8,806 13,975 10,455 3,665 9,406 974 3,475 9,512 2,171 11,813 3,108 21,202 18,934 1,115 16,777 5,129 7,334 14,820 1,163 9,737 1,209 10,138 44,789 4,962 891 14,966 13,285 1,699 10,070 1,028



2002 504,115 6,979 1,971 14,410 3,592 57,912 12,227 4,778 1,437 2,508 42,587 19,620 1,808 2,619 20,823 11,270 4,774 4,962 6,765 5,251 1,842 8,839 9,866 13,042 9,288 3,445 8,734 951 3,346 8,106 2,419 11,427 2,898 24,223 17,757 1,022 17,279 4,656 6,321 16,368 1,331 8,843 1,279 9,338 41,935 5,177 946 14,140 11,073 1,871 8,987 1,071



2001 496,602 8,387 1,600 14,706 4,645 55,128 12,389 4,305 1,357 1,689 39,377 19,316 1,984 2,520 19,366 11,988 4,204 4,190 6,356 4,675 1,669 8,925 10,325 14,280 9,463 5,576 8,256 1,033 3,036 8,284 2,113 11,451 2,667 22,707 17,640 747 18,305 6,322 6,464 15,863 1,105 8,140 1,038 9,189 43,523 4,309 683 12,509 11,542 1,354 8,882 1,018



2000 472,930 7,225 1,327 13,966 3,739 52,858 12,491 5,181 1,350 1,763 35,079 20,419 1,409 2,521 17,167 11,011 3,776 4,463 6,625 5,528 1,710 7,836 11,983 14,735 8,838 2,917 7,498 1,004 2,646 6,978 2,514 10,940 3,140 20,756 17,258 854 16,270 5,330 6,020 14,861 1,063 7,759 1,221 10,108 41,124 4,420 602 13,634 10,332 1,856 8,044 778



1990 246,022 2,939 1,919 4,553 1,438 37,318 3,235 3,058 787 795 16,975 7,120 2,831 986 10,796 6,350 2,034 2,193 3,174 3,191 897 6,056 5,135 7,646 4,953 1,569 3,833 332 1,318 3,334 1,021 6,141 1,124 14,137 6,614 506 9,885 2,164 3,101 10,117 594 3,664 468 4,388 13,197 1,884 515 7,180 6,185 1,253 4,654 462



2004 2,070.1 27.4 3.1 90.6 15.9 207.4 46.5 11.8 7.9 1.9 255.9 108.4 9.0 18.1 59.8 39.2 16.3 13.3 22.6 23.0 8.8 27.4 22.5 54.7 41.8 14.5 32.8 5.0 10.9 44.6 8.7 35.9 12.6 53.5 93.1 4.0 51.7 17.1 27.3 49.7 2.5 43.2 5.8 44.8 188.8 24.3 3.6 63.2 50.1 5.7 40.0 3.3



2003 1,889.2 22.3 3.5 75.0 14.8 191.9 39.6 10.4 7.8 1.4 213.6 96.7 7.3 15.1 62.2 39.4 16.1 15.0 20.4 22.2 7.9 29.9 20.3 53.9 42.0 12.0 29.3 3.8 10.3 43.4 8.6 33.0 13.8 49.7 79.2 3.7 53.0 15.0 25.0 47.4 2.3 38.2 5.0 37.5 177.2 22.5 2.8 55.9 42.8 5.1 40.9 2.8



2002 1,747.7 18.4 3.0 66.0 12.4 159.6 47.9 9.7 6.3 1.6 185.4 97.5 5.9 13.5 61.0 39.6 14.8 13.0 19.5 18.4 7.2 29.3 17.5 50.0 39.0 11.3 28.3 3.6 9.3 35.6 8.7 30.4 12.1 49.1 79.8 3.3 51.2 13.0 22.2 45.1 2.8 34.1 4.8 34.3 165.0 19.3 3.1 59.4 40.2 4.9 38.2 2.0



2000 1,592.3 17.4 2.1 61.5 9.2 145.6 54.6 9.4 4.6 0.8 155.3 91.8 4.9 10.9 51.9 37.9 12.5 12.5 18.5 14.7 6.2 30.4 18.0 52.5 32.8 11.3 24.3 2.6 9.1 32.3 6.7 34.6 8.9 44.1 78.4 2.1 49.7 11.1 19.9 41.1 2.6 32.8 4.2 32.2 141.2 17.6 2.5 48.4 39.0 3.8 34.2 1.6



6,964.0 103.5 17.6 190.1 51.6 847.3 151.3 65.8 7 26.4 7 12.3 490.6 198.0 7 29.3 39.6 266.9 148.1 68.4 63.4 83.5 117.1 31.0 177.6 138.4 190.3 126.5 49.3 137.5 24.9 7 48.2 117.6 29.6 166.0 50.1 318.4 216.8 17.2 235.1 62.2 82.3 248.2 20.8 113.3 19.8 117.5 542.6 72.5 16.7 230.8 163.5 34.5 126.3 19.2



6,735.0 99.7 16.9 176.2 50.8 795.9 149.9 61.9 7 24.4 7 12.9 446.8 195.0 7 27.9 36.8 274.8 144.8 65.1 62.7 83.1 119.0 30.5

7



6,787.0 105.6 14.2 168.1 53.0 731.0 163.6 64.5 7 24.6 7 11.2 406.4 204.4 7 24.7 36.4 269.7 149.9 63.9 65.6 87.6 129.0 29.2

7



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



169.6 136.8 190.6 124.9 50.6



161.0 129.1 209.6 118.8 54.4 138.4 20.4 7 45.2 89.4 24.9



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



134.2 23.1 7 47.4 100.3 28.9 160.5 47.0 319.1 211.4 16.0 231.2 63.6 77.0 245.7 20.8 112.4 19.3 115.4 552.0 67.6 15.4 217.5 156.2 32.7 124.1 19.5



149.5 44.8 327.3 230.0 15.8 246.1 61.8 82.9 247.3 18.1 114.5 18.0 125.7 567.1 72.5 14.9 210.1 160.5 34.0 124.8 18.5



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1 2 3



. . . . . .



Covers Construction (NAICS 23). Bureau of Labor Statistics. Bureau of Economic Analysis. 4 Represents value of contruction in states in which work was actually done; includes new structures and additions. 5 1990 to 2003, based on 19,000 places in the United States having building permits systems; 2004 based on 20,000 places. See source for details. 6 United States totals differ from the sum of the state figures because of differing benchmarks among states and differing industrial and geographic stratification. 7 Figure includes natural resources and mining and construction. Survey, Census, or Data Collection Method: Employment—Based on the Current Employment Statistics (CES) survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Earnings—Based on the Regional Economic Information System; for information, see ‘‘State Personal Income Methodologies’’ at ; Value of construction—For information, see ; New housing units—Based on a survey of local building permit officials using Form C-404; for information, see Internet site . Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site ; Value of construction—McGraw-Hill Construction Dodge, a Division of the McGraw-Hill Companies, New York, NY (copyright); New housing units—U.S. Census Bureau, Construction Reports, Series C40, Building Permits, monthly; publication discontinued in 2001. See Internet site and New Residential Construction, monthly.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



81



Table A-59. States — Manufactures

Nonfarm employment (BLS)1 (1,000) Geographic area 2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

4



Earnings (BEA)2 (mil. dol.)



2003

4



2002

4



2001

4



2000

4



2004 983,917 16,146 739 12,861 9,255 121,732 11,140 17,502 2,783 273 23,383 25,561 870 3,576 47,750 39,131 12,830 11,182 16,526 10,822 3,698 10,684 26,327 59,366 22,952 8,190 19,242 1,075 5,093 2,799 5,619 29,349 2,248 43,643 33,612 1,323 55,486 10,912 13,127 46,472 3,264 15,346 1,862 24,912 71,302 6,399 2,343 17,672 19,970 3,963 30,973 633



2003 954,525 15,527 681 12,238 8,924 115,869 10,916 16,712 2,827 251 22,406 24,403 795 3,426 46,603 38,030 12,059 10,268 16,128 10,373 3,626 10,343 25,623 61,980 21,821 7,863 18,733 1,018 4,954 2,598 5,302 28,418 2,159 42,634 32,805 1,202 55,625 10,354 12,160 45,870 3,205 15,091 1,722 24,093 68,010 6,108 2,285 17,233 19,260 3,842 29,567 586



2002 925,361 15,023 613 11,955 8,710 113,278 10,835 16,573 2,455 (D) 22,005 24,273 760 3,383 46,166 35,347 11,575 10,213 15,019 9,790 3,578 10,307 25,519 55,617 20,925 7,531 17,907 985 4,821 2,371 5,229 27,651 2,097 41,949 32,810 1,124 52,894 9,894 11,837 45,646 3,253 14,699 1,648 23,016 65,724 5,817 2,338 16,892 19,943 3,847 28,705 (D)



2001 932,482 14,800 632 12,340 8,658 118,420 11,096 16,740 2,420 290 21,608 24,241 787 3,453 46,711 33,899 11,507 10,410 14,572 9,322 3,643 10,260 26,770 54,979 20,539 7,535 17,417 995 4,686 2,377 5,652 27,517 2,146 42,787 33,340 1,106 52,612 11,112 12,324 45,299 3,326 14,522 1,679 22,212 68,300 5,928 2,445 16,610 19,786 3,802 28,312 557



14,329 291 12 176 204 1,533 155 198 35 3 388 445 15 62 697 572 223 176 264 152 63 143 314 696 343 179 312 19 101 46 80 339 36 596 580 25 825 142 200 691 57 269 39 412 890 115 37 299 264 63 502 10



14,510 294 12 175 206 1,548 156 200 36 3 388 452 15 62 714 573 220 175 265 156 64 147 324 716 343 179 315 19 102 44 80 350 37 613 599 24 843 143 195 712 59 276 38 413 900 112 38 305 267 65 504 9



15,259 307 11 184 214 1,638 166 211 37 3 406 467 15 65 754 588 227 184 275 161 68 157 349 760 356 188 325 20 106 43 85 368 38 652 644 24 885 152 202 759 62 290 38 429 949 114 41 320 285 69 528 10



16,441 326 12 202 227 1,786 182 227 39 3 432 498 16 68 815 615 240 195 292 172 75 168 389 820 379 201 345 21 111 44 97 401 41 708 704 24 953 170 216 821 68 314 41 454 1,027 122 46 341 316 72 560 10



17,263 351 12 210 240 1,858 191 236 42 4 455 531 16 70 871 664 251 201 310 177 80 174 408 897 397 223 365 23 114 43 103 422 42 751 758 24 1,021 178 223 862 71 336 44 488 1,068 126 46 364 332 76 594 10



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



82



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-59. States — Manufactures—Con.

Establishments Geographic area 2002 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 344,341 5,053 495 4,796 3,146 47,558 5,250 5,280 688 144 14,880 8,636 915 1,763 16,556 9,053 3,718 3,181 4,166 3,427 1,827 3,929 8,686 14,947 7,953 2,766 7,112 1,201 1,930 1,728 2,184 10,454 1,545 20,778 10,548 689 17,189 3,960 5,521 16,399 2,086 4,360 897 6,833 21,051 3,018 1,140 5,773 7,365 1,454 9,771 542 Net change, 2000–2002 −10,157 −208 6 −105 −99 −1,579 −142 −223 1 −30 −465 −84 4 94 −756 −209 −6 −48 −43 −36 −51 19 −482 −603 −142 −77 −195 1 −16 35 −88 −584 −18 −1,351 −449 −11 −515 18 −95 −363 −170 −71 −9 −260 −358 101 −68 −65 −219 1 −133 −11 2003 15.74 13.56 12.16 14.38 13.55 15.05 16.89 17.74 16.90 15.80 14.09 14.08 12.90 13.72 15.20 17.84 15.70 15.83 16.02 16.86 16.28 15.75 16.53 21.28 15.43 12.88 18.21 14.02 14.86 14.63 14.85 15.46 13.19 16.78 13.66 14.04 18.00 14.13 15.20 14.98 12.88 14.19 13.13 13.56 13.94 14.90 14.54 15.88 18.03 16.05 16.12 16.74 2002 15.29 13.10 13.24 14.16 13.30 14.89 15.85 17.25 16.62 15.39 13.30 13.39 13.07 13.80 14.99 17.16 15.31 15.98 15.73 17.03 15.55 15.21 16.25 20.48 15.06 12.32 16.79 14.43 14.05 14.62 14.20 15.20 13.43 16.74 13.18 13.17 17.49 14.12 15.06 14.75 12.75 14.00 12.60 13.15 13.93 14.12 14.33 15.25 18.15 15.40 15.86 17.73 2001 14.76 12.76 11.70 13.80 12.90 14.69 14.72 16.42 16.56 15.14 12.68 12.50 13.18 13.85 14.66 16.42 14.67 15.48 15.44 16.18 14.71 14.56 15.75 19.45 14.76 11.93 16.11 14.03 13.64 13.79 13.98 14.74 13.27 16.24 12.81 12.77 16.79 13.66 14.74 14.37 12.68 13.79 12.11 12.88 14.04 13.76 14.18 14.49 17.96 14.80 15.44 17.26 2003 3,977,165 70,048 4,371 44,900 47,560 378,468 33,775 41,587 14,445 293 78,900 125,099 3,880 15,788 190,421 167,437 70,323 50,368 89,652 94,387 13,925 35,456 78,023 223,853 82,691 39,995 95,941 5,334 32,962 9,103 16,205 96,325 10,670 142,252 157,359 6,419 240,066 41,345 44,512 183,721 10,653 84,526 10,356 113,789 326,718 25,624 9,469 82,760 79,891 19,463 131,134 4,924 2002 3,918,851 66,686 3,832 41,911 46,721 378,661 34,661 45,053 16,418 246 78,475 126,157 3,460 15,174 188,365 160,924 65,042 50,898 88,513 89,541 13,852 36,363 77,997 221,433 80,624 38,276 92,909 4,988 30,611 8,466 15,235 96,600 10,168 147,317 156,822 6,857 243,904 39,924 45,865 181,462 10,818 81,133 10,710 109,293 310,816 25,104 9,661 83,953 79,314 18,911 124,664 4,062 2001 3,970,500 67,172 3,987 42,168 46,530 414,762 35,627 47,055 16,664 178 76,541 127,624 3,196 15,076 196,449 154,264 65,428 53,031 84,180 85,488 15,066 36,038 79,851 209,003 82,304 38,560 89,682 5,423 31,133 7,581 16,975 98,230 11,464 146,455 167,124 6,517 241,902 40,063 43,271 178,613 10,958 78,738 11,093 104,109 321,361 25,908 8,926 92,874 89,280 16,201 126,542 3,835 2000 4,208,582 70,224 4,034 47,042 47,798 441,363 39,273 46,465 17,134 210 80,721 135,206 3,732 22,328 212,785 162,520 66,393 54,523 89,809 94,559 16,917 36,767 85,872 229,292 86,686 41,024 90,388 5,652 30,860 7,131 19,565 101,641 15,241 155,666 176,472 5,957 258,010 44,436 49,730 187,354 11,622 78,481 12,185 104,157 347,130 27,766 9,417 95,932 90,309 16,906 130,078 3,818 Average hourly earnings of production workers (dol.) Value of shipments3 (mil. dol.)



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



D Figure withheld to avoid disclosure.

1 2 3



Bureau of Labor Statistics. Bureau of Economic Analysis. Includes extensive and unmeasurable duplication from shipments between establishments in the same industry classification. 4 United States totals differ from the sum of the state figures because of differing benchmarks among states and differing industrial and geographic stratification. Survey, Census, or Data Collection Method: Employment and average hourly earnings—Based on the Current Employment Statistics (CES) survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Earnings—Based on the Regional Economic Information System; for information, see ‘‘State Personal Income Methodologies’’ at ; Establishments—Based on tabulations of data extracted from the U.S. Census Bureau’s Business Register; for information, see Internet site ; Value of shipments—Based on the Annual Survey of Manufactures and the 2002 Economic Census; for information, see Appendix B, Limitations of the Data and Methodology, and Internet sites and . Sources: Employment and average hourly earnings—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site ; Establishments—U.S. Census Bureau, County Business Patterns, annual, see Internet site ; Value of shipments—U.S. Census Bureau, Annual Survey of Manufactures, Geographic Area Statistics, series M03(AS)-3 and earlier reports, see Internet site (released May 2005); and 2002 Economic Census, Manufacturing, Geographic Area Series, see also (issued September 2005).



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



83



Table A-60. States — Manufactures Summary and Export-Related Shipments and



Employment

Manufactures summary, 2003 Value added by manufactures3 Exportrelated manufacturing employment (1,000) 3,251.7 46.4 1.5 47.5 29.8 471.1 34.1 55.2 3.7 (D) 58.8 72.6 1.3 15.6 151.2 120.3 41.0 26.1 49.5 22.1 11.6 24.3 98.0 190.1 68.4 19.5 56.3 1.3 15.4 6.4 20.1 64.2 7.6 139.5 139.6 1.9 215.2 27.0 49.7 133.2 12.3 80.0 6.8 77.2 215.7 22.9 17.6 57.0 126.8 11.5 86.5 0.4 Export-related, 20011 Export-related as percent of all manufacturers



All employees2 Geographic area Payroll Net change, 2000– 2003

5



Production workers2



Number United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

5



Total (mil. dol.)

5



Per employee (dol.) 40,731 36,130 32,647 44,159 31,717 42,565 44,650 47,547 44,667 43,383 38,994 35,801 32,022 37,087 41,180 41,916 37,567 39,959 40,168 44,152 39,312 45,312 45,929 47,489 42,127 31,363 40,532 35,412 33,592 41,116 42,549 44,569 39,087 41,269 34,761 34,006 42,330 37,223 39,653 39,787 38,020 37,275 31,639 37,286 41,690 37,608 41,309 38,973 42,266 40,435 39,925 37,552

5



Total 9,794,556 205,276 9,668 101,000 154,465 978,081 90,368 116,954 25,817 717 233,396 330,211 8,988 44,292 492,542 407,958 158,392 116,569 192,276 105,104 48,125 91,790 200,989 505,779 224,149 134,000 226,072 12,166 77,938 28,409 54,045 226,139 21,911 397,789 433,775 15,984 596,281 102,097 125,092 478,934 40,652 212,349 27,433 290,530 558,257 71,215 27,759 218,251 164,950 48,824 352,222 8,580

5



Hours (mil.) 19,883 416 21 206 315 1,949 183 244 53 1 474 682 18 90 1,005 840 323 237 392 219 95 179 410 1,052 452 260 446 23 162 60 112 460 44 807 877 33 1,232 205 244 966 81 431 56 587 1,150 141 57 450 332 97 700 19



Wages (mil. dol.)

5



Total (mil. dol.)

5



Per production worker (dol.) 137,721 114,342 124,424 179,964 117,800 129,682 121,478 132,499 126,240 100,722 118,310 136,229 90,275 132,311 132,722 150,981 150,290 121,794 141,317 211,407 114,393 128,611 142,025 142,330 124,335 102,437 140,887 108,273 117,426 113,829 106,398 150,570 205,683 135,453 156,340 118,813 134,723 127,619 142,575 138,805 100,007 140,438 105,013 132,902 153,503 120,177 119,669 158,349 150,404 126,972 135,630 155,466

5



Value of shipments4 (mil. dol.) 3,977,165 70,048 4,371 44,900 47,560 378,468 33,775 41,587 14,445 293 78,900 125,099 3,880 15,788 190,421 167,437 70,323 50,368 89,652 94,387 13,925 35,456 78,023 223,853 82,691 39,995 95,941 5,334 32,962 9,103 16,205 96,325 10,670 142,252 157,359 6,419 240,066 41,345 44,512 183,721 10,653 84,526 10,356 113,789 326,718 25,624 9,469 82,760 79,891 19,463 131,134 4,924



Exportrelated shipments (mil. dol.) 806,189.2 12,451.6 599.3 11,218.1 7,421.0 110,597.4 7,112.6 11,510.5 1,131.3 0.5 11,560.5 20,387.2 197.3 4,040.2 37,335.6 31,066.9 10,622.7 6,986.5 14,967.1 11,691.2 2,499.8 4,948.1 20,720.6 47,699.6 12,793.9 4,750.2 13,486.3 442.4 4,581.0 1,119.8 3,655.8 15,933.3 3,367.7 29,325.1 28,667.6 666.1 53,213.6 6,100.3 12,016.1 29,667.1 1,925.1 20,046.0 2,191.8 17,403.9 69,444.0 4,800.0 4,048.3 14,071.0 44,120.7 3,026.2 18,356.1 204.4



Ship- Employments ment 20.3 18.5 15.0 26.6 15.9 26.7 20.0 24.5 6.8 0.3 15.1 16.0 6.2 26.8 19.0 20.1 16.2 13.2 17.8 13.7 16.6 13.7 25.9 22.8 15.5 12.3 15.0 8.2 14.7 14.8 21.5 16.2 29.4 20.0 17.2 10.2 22.0 15.2 27.8 16.6 17.6 25.5 19.8 16.7 21.6 18.5 45.4 15.2 49.4 18.7 14.5 5.3 20.5 14.7 11.9 25.5 13.1 26.3 20.9 24.0 9.7 (D) 14.7 15.0 9.0 24.4 18.6 20.1 17.4 13.5 17.9 14.1 14.9 15.0 26.0 25.4 18.2 9.9 16.2 6.4 14.7 15.8 20.8 16.9 23.2 19.7 20.1 8.1 23.3 16.7 24.9 17.3 17.6 25.6 17.2 17.5 22.7 18.8 38.4 17.4 41.0 17.0 15.9 4.4



13,865,811 260,343 11,357 161,235 192,952 1,523,323 141,943 194,502 36,490 1,944 358,308 430,768 13,564 58,207 704,739 536,413 217,838 167,731 251,650 144,766 64,492 143,771 325,758 685,392 333,385 167,606 306,062 16,565 100,862 44,278 83,730 345,217 29,900 592,077 569,379 21,206 811,161 138,583 176,114 675,602 60,388 279,328 35,954 384,719 806,797 105,841 41,545 295,858 258,610 64,617 481,862 11,075



–2,786,093 –74,879 –1,049 –39,679 –42,121 –316,536 –25,291 –43,160 –4,207 –974 –64,118 –82,324 –1,119 –4,664 –160,931 –101,737 –28,954 –27,920 –40,823 –17,252 –15,296 –23,084 –59,794 –122,302 –56,970 –47,337 –54,827 –4,841 –9,518 4,431 –17,434 –42,201 –6,226 –144,265 –174,054 –2,673 –171,000 –33,670 –29,165 –118,571 –13,298 –53,016 –5,883 –82,891 –187,857 –18,608 –2,146 –55,778 –65,700 –4,899 –90,326 841



564,771 9,406 371 7,120 6,120 64,840 6,338 9,248 1,630 84 13,972 15,422 434 2,159 29,021 22,484 8,183 6,702 10,108 6,392 2,535 6,515 14,962 32,549 14,045 5,257 12,405 587 3,388 1,821 3,563 15,386 1,169 24,434 19,792 721 34,337 5,158 6,984 26,880 2,296 10,412 1,138 14,345 33,636 3,980 1,716 11,530 10,930 2,613 19,239 416



329,730 6,434 276 3,367 4,379 30,195 3,161 4,478 965 18 6,919 10,082 269 1,434 16,611 15,219 5,148 3,988 6,825 4,158 1,682 3,118 6,864 21,951 7,615 3,628 8,111 379 2,296 947 1,730 7,902 723 13,169 12,590 469 22,446 3,314 4,205 16,125 1,211 6,756 769 9,259 18,647 2,162 936 7,221 5,535 1,720 12,021 301



1,909,616 29,768 1,413 29,017 22,730 197,547 17,243 25,771 4,607 196 42,391 58,683 1,224 7,701 93,534 80,988 32,739 20,429 35,562 30,605 7,377 18,490 46,266 97,552 41,451 17,169 43,120 1,794 11,844 5,040 8,909 51,979 6,150 80,199 89,017 2,520 109,282 17,686 25,109 93,777 6,039 39,228 3,776 51,130 123,846 12,720 4,972 46,849 38,896 8,205 65,355 1,722



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



D Data withheld to avoid disclosure of individual companies.

1 Exports includes both ‘‘direct’’ exports (exports manufactured in the United States and consumed in foreign markets) and ‘‘indirect’’ exports (intermediate goods and services required to manufacture export goods). 2 Includes employment and payroll at administrative offices and auxiliary units. All employees represents the average of production workers plus all other employees for the payroll period ended nearest the 12th of March. Production workers represents the average of the employment for the payroll periods ended nearest the 12th of March, May, August, and November. 3 Adjusted value added; takes into account (a) value added by merchandising operations (that is, difference between the sales value and cost of merchandise sold without further manufacture, processing, or assembly), plus (b) net change in finished goods and work-in-process inventories between beginning and end of year. 4 Includes extensive and unmeasurable duplication from shipments between establishments in the same industry classification. 5 Sum of state totals may not add to U.S. total because U.S. and state figures were independently derived.



Survey, Census, or Data Collection Method: Manufactures summary—Based on the Annual Survey of Manufactures; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Export-related—Based on tabulations of data from 3 sources: the 2001 Annual Survey of Manufactures, the U.S. Census Bureau’s 2001 edition of U.S. International Trade in Goods and Services, and the Bureau of Economic Analysis’ Input-Output (I/O) Accounts of the U.S. Economy for 1992; for information, see the following document at . Sources: Manufactures summary—U.S. Census Bureau, Annual Survey of Manufactures, Geographic Area Statistics, Series M03(AS)-3. See also (released May 2005); Export-related—U.S. Census Bureau, Exports from Manufacturing Establishments: 2001, Series AR(01)-1, see Internet site (released July 2004).



84



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-61. States — Major Manufacturing Sectors: 2003

Apparel and textiles1 (NAICS 313–315) Machinery (NAICS 333) Computer and electronic products (NAICS 334) Motor vehicle and parts2 (NAICS 3361–3363)



Geographic area



Employment



Employment



Employment



Employment



Percent of total manuTotal facturing United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 715,464 30,930 (NA) (NA) (NA) 117,436 (NA) (NA) (NA) (NA) 14,773 78,614 (NA) (NA) (NA) (NA) (NA) (NA) 11,467 (NA) (NA) 5,042 18,059 (NA) (NA) 9,009 (NA) (NA) (NA) (NA) (NA) 22,036 (NA) 53,399 110,468 (NA) 8,545 (NA) (NA) 33,750 (NA) 52,311 (NA) 17,146 24,103 (NA) (NA) 23,118 (NA) (NA) 4,822 (NA) 5.2 11.9 (NA) (NA) (NA) 7.7 (NA) (NA) (NA) (NA) 4.1 18.2 (NA) (NA) (NA) (NA) (NA) (NA) 4.6 (NA) (NA) 3.5 5.5 (NA) (NA) 5.4 (NA) (NA) (NA) (NA) (NA) 6.4 (NA) 9.0 19.4 (NA) 1.1 (NA) (NA) 5.0 (NA) 18.7 (NA) 4.5 3.0 (NA) (NA) 7.8 (NA) (NA) 1.0 (NA)



Percent change, 2000– 2003 –34.6 –43.1 (NA) (NA) (NA) –28.4 (NA) (NA) (NA) (NA) –41.6 –26.5 (NA) (NA) (NA) (NA) (NA) (NA) –41.9 (NA) (NA) (NA) –23.6 (NA) (NA) –45.8 (NA) (NA) (NA) (NA) (NA) –21.2 (NA) –41.1 –35.4 (NA) –27.5 (NA) (NA) –24.9 (NA) –33.4 (NA) –52.1 –44.4 (NA) (NA) –38.0 (NA) (NA) –33.8 (NA)



Value of shipments (mil. dol.)



Percent of total manuTotal facturing 7.9 4.5 (NA) 4.9 7.8 5.7 6.7 9.1 (NA) (NA) 5.5 5.5 (NA) 5.4 11.7 7.0 14.6 10.1 7.1 6.0 4.4 6.2 7.9 11.5 9.4 6.5 10.3 7.3 9.2 10.5 10.5 5.5 4.9 7.5 5.6 19.1 9.5 16.1 6.4 7.9 5.7 7.5 11.6 8.0 8.1 4.4 9.0 5.4 5.0 4.5 12.7 17.2



Percent change, 2000– 2003 –21.6 –38.9 (NA) –25.1 –21.1 –20.8 –19.2 –21.4 (NA) (NA) –24.3 –22.4 (NA) 38.7 –21.4 –21.1 –14.5 –18.6 –30.7 0.9 –10.8 –22.2 –18.6 –19.3 –22.5 –25.6 –11.3 (NA) –25.7 (NA) –10.0 –23.1 7.3 –33.8 –23.7 –0.3 –25.9 –12.0 –9.2 –20.0 –19.7 –14.7 –19.6 –29.6 –21.7 –29.3 –1.3 –16.2 –22.8 –23.1 –26.1 (NA)



Value of shipments (mil. dol.)



Percent of total manuTotal facturing 8.4 4.6 (NA) 19.2 2.7 17.9 18.9 10.0 6.5 (NA) 14.4 2.5 (NA) 23.2 5.5 3.3 5.2 3.6 2.9 0.9 6.0 16.3 20.7 2.8 14.6 1.5 2.7 (NA) 4.2 6.9 20.6 8.2 18.5 11.2 5.0 7.4 3.1 3.4 16.4 5.6 10.3 3.0 9.7 3.2 11.7 9.6 24.5 6.2 11.3 2.4 3.4 (NA)



Percent change, 2000– 2003 –29.2 –19.5 (NA) –35.0 13.5 –30.0 –30.6 –17.2 89.9 (NA) –23.3 –17.7 (NA) –28.9 –45.3 –31.0 –5.5 –5.4 –37.3 –45.6 –44.0 –22.5 –26.3 –16.7 –16.9 –47.8 –35.2 (NA) –38.5 (NA) –31.9 –24.8 –53.3 –17.8 –44.6 –34.1 –30.2 –61.3 –23.1 –37.2 –15.5 –40.6 –46.7 –15.9 –31.7 –38.6 (NA) –25.5 –34.3 33.3 –28.0 (NA)



Value of shipments (mil. dol.)



Percent of total manuTotal facturing 7.3 7.5 (NA) (NA) 5.0 2.8 (NA) (NA) (NA) (NA) (NA) 4.6 (NA) (NA) 5.2 22.8 (NA) 4.4 (NA) (NA) (NA) (NA) (NA) 30.7 2.6 6.2 10.4 (NA) (NA) (NA) (NA) (NA) (NA) (NA) 4.5 (NA) 15.7 9.4 5.0 (NA) (NA) 9.4 (NA) 13.6 3.2 (NA) (NA) 3.9 (NA) (NA) 5.9 (NA)



Percent change, 2000– 2003 –13.8 (NA) (NA) (NA) (NA) –6.4 (NA) (NA) (NA) (NA) (NA) –11.0 (NA) (NA) –14.6 –13.4 (NA) (NA) (NA) (NA) (NA) (NA) (NA) –16.9 (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) –13.2 (NA) –8.5 (NA) (NA) 15.9 (NA) 1.6 (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA)



Value of shipments (mil. dol.) 486,137 10,162 (NA) (NA) (NA) 13,782 (NA) (NA) (NA) (NA) (NA) 10,212 (NA) (NA) 13,292 51,478 (NA) (NA) (NA) (NA) (NA) (NA) (NA) 118,032 3,802 (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) 9,793 (NA) 65,371 (NA) 1,897 (NA) (NA) (NA) (NA) (NA) 16,568 (NA) (NA) (NA) (NA) (NA) (NA) (NA)



114,355 1,098,974 5,683 (NA) (NA) (NA) 16,209 (NA) (NA) (NA) (NA) 1,999 18,049 (NA) (NA) (NA) (NA) (NA) (NA) 1,659 (NA) (NA) 876 2,448 (NA) (NA) 1,274 (NA) (NA) (NA) (NA) (NA) 2,966 (NA) 8,061 17,184 (NA) 1,112 (NA) (NA) 5,992 (NA) 9,352 (NA) 2,980 3,229 (NA) (NA) 4,508 (NA) (NA) 642 (NA) 11,774 (NA) 7,861 15,057 86,568 9,466 17,771 (NA) (NA) 19,826 23,537 (NA) 3,162 82,465 37,676 31,699 17,006 17,909 8,692 2,825 8,948 25,638 79,120 31,298 10,978 31,563 1,216 9,231 4,662 8,768 19,125 1,477 44,464 31,919 4,040 76,998 22,257 11,224 53,314 3,429 21,011 4,153 30,958 65,435 4,687 3,745 16,117 12,995 2,914 61,301 1,905



252,984 1,163,493 2,737 (NA) 1,621 3,114 17,215 1,824 3,532 (NA) (NA) 4,287 6,486 (NA) 447 20,964 9,955 10,989 3,721 3,677 1,668 487 2,110 4,856 16,608 6,780 2,434 5,293 244 2,018 638 1,707 3,830 220 10,160 9,676 1,493 14,913 5,104 1,864 9,961 609 13,937 841 9,224 14,475 855 533 3,343 2,383 494 13,345 161 12,096 (NA) 30,926 5,277 272,573 26,819 19,426 2,359 (NA) 51,576 10,727 (NA) 13,512 38,956 17,471 11,310 6,100 7,200 1,306 3,843 23,503 67,450 19,147 48,656 2,583 8,231 (NA) 4,282 3,063 17,243 28,312 5,518 66,258 28,555 1,564 25,193 4,706 28,795 38,010 6,240 8,408 3,505 12,165 94,195 10,111 10,188 18,342 29,272 1,564 16,234 (NA)



353,767 1,009,008 3,535 (NA) 15,766 1,285 82,493 6,531 3,371 522 (NA) 12,561 2,585 (NA) 5,039 10,059 3,896 1,996 1,606 3,069 214 729 6,054 22,540 4,754 12,520 488 2,044 (NA) 839 560 4,683 7,465 4,033 13,591 5,866 466 6,275 1,116 12,629 7,865 1,194 2,587 3,121 13,206 41,290 2,519 3,604 4,980 7,062 281 4,753 (NA) 19,563 (NA) (NA) 9,706 43,330 (NA) (NA) (NA) (NA) (NA) 19,663 (NA) (NA) 36,928 122,044 (NA) 7,412 (NA) (NA) (NA) (NA) (NA) 210,473 8,751 10,440 31,882 (NA) (NA) (NA) (NA) (NA) (NA) (NA) 25,412 (NA) 126,952 13,090 8,833 (NA) (NA) 26,170 (NA) 52,373 25,762 (NA) (NA) 11,507 (NA) (NA) 28,633 (NA)



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



NA Not available.

1 2



Includes Textile mills (NAICS 313), Textile product mills (NAICS 314), and Apparel manufacturing (NAICS 315). Includes Motor vehicle manufacturing (NAICS 3361), Motor vehicle body and trailer manufacturing (NAICS 3362), and Motor vehicle parts manufacturing (NAICS 3363). Based on the Annual Survey of Manufactures; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site



Survey, Census, or Data Collection Method: .



Source: U.S. Census Bureau, Annual Survey of Manufactures, Geographic Area Statistics, Series M03(AS)-3 (released May 2005) and Series M00(AS)-3RV (issued September 2002); see also Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



85



Table A-62. States — Wholesale and Retail Trade and Shopping Centers

Wholesale and retail nonfarm employment (BLS)1, (1,000) Geographic area Net change, 2000– 2002 –9,337 –340 –4 –95 30 374 6 –280 –56 –34 89 –274 19 –34 –912 –202 –152 –157 –226 –227 –33 –76 –296 –521 –128 –148 –371 29 –89 30 –60 –609 –73 –978 –293 –26 –443 –170 –21 –524 –49 –151 –48 –392 –755 52 –20 –257 –197 –161 –127 43 Net change, 2000– 2002 12,120 –122 –50 520 –60 2,523 452 –51 58 –15 3,226 743 73 49 –177 97 –445 –281 –3 –9 81 195 119 –33 233 –150 –108 92 –26 370 133 569 12 2,032 297 – –100 –205 72 –74 –139 –132 91 –336 2,215 323 –48 400 6 –278 12 –31 Wholesale trade3

2



Retail trade4 Earnings (BEA)5 (mil. dol.) Establishments



Shopping centers Retail sales (bil. dol.) Retail sales per square foot (dol.)



Earnings (BEA)5 (mil. dol.)



Establishments



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

6



2003

6



2000

6



2004 387,439 4,492 357 6,494 2,511 47,032 6,579 5,850 1,156 423 20,561 14,559 960 1,220 21,863 6,966 3,529 3,569 4,392 4,038 1,213 6,700 11,463 12,030 9,536 1,891 7,314 744 2,291 2,286 2,171 19,223 1,174 27,890 10,381 910 14,661 2,873 5,279 15,507 1,129 3,739 828 8,006 33,649 2,366 591 8,085 8,411 1,214 6,914 422



2001 350,889 3,983 316 5,778 2,107 42,310 6,447 5,525 867 339 17,737 13,854 803 1,120 20,517 6,350 3,171 3,220 3,723 3,626 1,010 6,024 10,777 11,417 8,436 1,634 6,607 630 2,074 2,001 1,954 18,299 1,057 25,344 8,588 782 13,742 2,662 4,453 13,273 998 3,179 715 6,747 31,970 2,132 514 7,231 7,312 1,094 6,094 344



2002 436,900 5,792 748 6,636 3,535 58,700 7,458 4,796 953 338 30,760 13,618 1,828 1,978 20,597 8,440 5,003 4,719 4,713 5,965 1,707 6,022 9,439 13,055 9,166 2,968 8,701 1,566 2,972 2,586 2,045 16,548 2,089 35,628 12,071 1,517 16,203 4,835 5,815 16,272 1,481 4,940 1,342 7,614 31,876 3,346 869 7,636 9,672 1,708 7,801 833



2004 500,698 6,892 1,286 10,239 3,584 67,631 8,437 7,811 1,650 623 30,024 14,070 2,226 2,312 19,822 9,314 4,946 4,369 6,103 6,347 2,600 10,066 12,507 15,941 9,328 3,842 9,377 1,659 2,933 4,641 3,424 18,352 2,936 30,373 13,368 1,118 18,517 5,179 6,190 20,797 1,750 6,757 1,361 11,081 37,165 4,129 1,268 12,533 11,598 2,405 8,950 868



2001



2002



2004 1,432.6 20.5 3.0 34.4 9.7 171.4 32.8 27.6 6.4 2.4 134.3 42.8 6.7 4.4 59.1 28.9 10.2 15.7 18.6 25.3 6.2 34.5 33.2 34.7 19.3 10.5 31.0 2.8 7.8 9.5 6.9 40.8 8.6 61.1 39.5 2.9 56.4 16.9 13.3 56.0 5.3 21.0 1.7 31.5 119.3 8.6 2.6 44.7 24.9 4.8 20.3 1.8



2000 1,181.1 17.4 2.4 28.2 8.3 141.8 26.5 21.8 5.1 2.0 108.3 35.7 5.1 3.7 48.2 24.2 8.5 13.2 15.7 21.2 4.9 28.5 26.9 28.8 15.9 9.1 25.8 2.3 6.5 7.7 5.2 32.8 7.2 50.8 32.9 2.4 47.1 14.6 10.8 46.1 4.3 17.7 1.5 26.1 99.3 7.3 2.1 36.4 20.4 4.2 16.7 1.5



2004 241 246 395 236 253 231 275 272 269 222 282 213 321 216 212 221 201 255 266 281 323 256 276 226 258 230 244 274 198 152 258 218 265 231 198 294 211 274 214 210 228 227 250 225 299 211 294 242 235 205 249 291



2000 212 226 312 221 225 201 255 227 223 210 246 195 251 186 183 199 191 226 231 249 280 218 232 202 229 205 223 232 179 156 209 187 237 202 183 257 187 240 183 186 217 210 209 191 264 201 248 210 200 182 215 255



20,690 310 41 384 177 2,270 334 259 67 22 1,269 650 84 99 924 451 247 209 285 300 109 389 490 686 430 174 431 71 148 161 125 700 114 1,220 598 60 853 223 264 893 69 292 66 447 1,546 174 50 528 429 112 432 37



20,525 306 40 369 174 2,237 332 257 66 22 1,235 650 81 97 928 452 246 210 284 299 107 386 489 691 429 174 429 69 148 154 123 699 113 1,211 594 59 860 224 259 888 70 287 65 440 1,529 170 50 516 422 110 431 37



21,213 317 40 364 178 2,204 345 266 65 22 1,252 677 83 103 971 484 258 220 298 311 105 392 502 746 436 182 435 69 153 143 120 705 114 1,262 616 59 919 236 267 907 69 300 65 447 1,573 172 49 524 436 117 447 36



457,313 1,125,693 6,129 1,100 8,690 3,199 61,363 7,905 7,172 1,403 555 26,843 13,378 1,923 2,037 18,654 8,796 4,616 4,130 5,518 5,723 2,283 9,018 11,405 15,244 8,499 3,512 8,548 1,425 2,683 3,816 2,968 16,819 2,545 27,204 12,588 997 17,873 4,728 5,701 19,174 1,482 6,178 1,212 9,877 35,107 3,580 1,105 11,004 10,416 2,195 8,215 777 19,601 2,683 17,431 12,151 110,510 19,200 14,060 3,800 1,930 70,622 34,531 4,997 5,920 43,623 24,358 13,937 11,980 16,985 17,746 7,096 19,734 25,932 38,829 21,095 12,644 23,803 5,193 8,222 7,310 6,678 35,410 7,261 77,532 36,082 3,435 42,608 13,942 14,328 48,444 4,203 18,487 4,272 24,288 76,973 8,275 3,926 29,194 22,706 7,510 21,366 2,850



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



– Represents zero.

1 2 3



Bureau of Labor Statistics. Includes Wholesale trade (NAICS 42) and Retail trade (NAICS 44). Covers Wholesale trade (NAICS 42). 4 Covers Retail trade (NAICS 44). 5 Bureau of Economic Analysis. 6 United States totals differ from the sum of the state figures because of differing benchmarks among states and differing industrial and geographic stratification. Survey, Census, or Data Collection Method: Employment—Based on the Current Employment Statistics (CES) survey; for information, see Appendix B, Limitations of the Data and Methodology, and see Internet site ; Earnings—Based on the Regional Economic Information System; for information, see ‘‘State Personal Income Methodologies’’ at ; Establishments—Based on tabulations of data extracted from the U.S. Census Bureau’s Business Register; for information, see Internet site ; Shopping centers—For information, see Internet site . Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site ; Establishments—U.S. Census Bureau, County Business Patterns, annual, see Internet site ; Shopping centers—National Research Bureau, Chicago, IL. Data for 1995–2004 published by International Council of Shopping Centers in Shopping Centers Today, April issues (copyright, Trade Dimensions International, Inc.).



86



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-63. States — Retail Sales

All retail stores1 (NAICS 44, 45) (mil. dol.) Geographic area Percent change, 2003– 2004 4.1 6.3 8.1 1.4 4.9 2.7 2.8 4.3 6.0 6.8 3.0 2.4 3.4 11.1 5.5 3.7 3.4 1.6 4.4 5.5 4.2 7.2 4.4 3.1 4.1 5.2 5.7 7.4 4.6 4.4 6.3 6.2 4.6 4.8 1.9 3.8 4.5 3.8 3.2 3.8 10.4 5.2 5.4 5.0 3.9 3.3 6.0 6.5 3.9 4.7 3.8 8.2 Sales per household Food and beverage stores (NAICS 445) (mil. dol.) General merchandise stores (mil. dol.)



Total (NAICS 452) 2004 526,194 6,090 1,353 9,388 3,234 70,435 9,272 8,685 1,472 668 32,838 15,870 2,854 2,456 23,488 8,808 5,229 4,878 5,589 6,663 3,742 13,341 14,953 15,785 9,642 3,875 8,553 1,691 2,997 4,367 3,651 19,018 2,614 33,300 13,074 841 18,683 4,470 6,722 22,867 1,941 6,785 1,356 12,338 35,674 4,428 1,459 12,960 11,178 2,573 10,892 1,151 2003 489,332 5,761 1,294 8,560 3,065 64,889 8,921 7,982 1,324 625 31,331 14,867 2,569 2,183 21,035 8,454 4,935 4,760 5,340 6,190 3,520 11,966 13,896 14,597 8,983 3,729 7,833 1,551 2,887 3,953 3,330 17,201 2,515 31,131 12,447 801 17,310 4,276 6,202 21,544 1,712 6,290 1,352 11,472 33,264 4,201 1,338 11,878 10,474 2,422 10,137 1,035 2004 504,356 8,820 1,826 10,189 6,099 56,316 8,703 3,986 1,590 87 25,911 14,283 2,769 2,884 17,734 12,109 5,341 6,777 7,683 8,906 2,119 8,518 9,090 21,820 9,493 5,150 11,597 1,704 2,939 3,667 3,345 12,708 3,660 23,525 13,057 1,279 22,837 7,553 8,074 15,694 1,105 6,893 1,396 12,532 45,371 4,341 537 13,634 13,368 3,217 10,870 1,250 2003 483,234 8,231 1,672 9,792 5,827 53,823 8,354 3,783 1,550 95 24,786 13,901 2,806 2,561 17,190 11,845 5,202 6,567 7,388 8,440 2,099 7,874 8,859 21,583 9,253 4,738 10,836 1,530 2,907 3,330 3,219 12,283 3,389 22,260 12,527 1,266 22,346 7,314 7,641 15,798 1,002 6,643 1,315 12,049 42,052 4,089 543 12,925 12,725 3,158 10,702 1,165



Department stores (NAICS 4521) 2004 337,780 5,998 858 6,701 4,352 36,602 5,647 2,751 1,122 73 18,142 10,173 1,153 1,606 13,405 7,795 3,667 4,797 5,220 6,132 1,374 6,164 6,401 13,588 7,356 3,106 8,402 1,080 1,741 2,536 2,248 9,050 2,524 15,837 9,159 926 14,037 5,252 3,624 11,565 785 4,580 938 8,532 31,364 2,679 272 8,663 6,945 2,070 7,939 849 2003 323,094 5,584 785 6,432 4,153 34,891 5,458 2,605 1,101 79 17,315 9,893 1,154 1,422 12,984 7,613 3,561 4,649 5,017 5,788 1,357 5,693 6,232 13,377 7,185 2,857 7,832 969 1,726 2,303 2,165 8,748 2,332 14,994 8,767 912 13,682 5,070 3,416 11,632 710 4,414 864 8,168 28,976 2,514 275 8,204 6,585 2,029 7,833 788



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,522,754 45,859 8,028 67,909 28,926 428,851 61,285 48,829 11,909 2,783 209,355 103,516 14,260 18,211 144,755 72,222 37,089 34,263 41,326 47,385 19,001 69,072 83,465 123,244 74,127 28,192 68,687 9,577 21,486 29,721 25,328 116,147 20,859 205,165 94,049 8,374 139,302 38,292 44,357 140,302 10,990 45,705 15,516 73,920 288,967 27,310 8,175 92,453 74,935 18,126 74,044 7,109



2003 3,367,086 43,234 7,389 65,581 27,531 413,238 59,450 46,651 11,149 2,657 200,009 100,254 13,680 16,137 137,124 69,538 35,870 33,664 39,519 44,995 18,127 64,219 80,287 119,825 71,046 26,897 64,900 8,851 20,459 27,602 23,743 109,105 19,795 195,874 91,712 8,085 133,937 36,828 42,625 135,599 9,932 43,237 14,724 70,166 274,981 26,134 7,712 86,194 71,587 17,288 71,360 6,585



2001 3,324,957 45,174 7,549 64,152 27,368 392,114 58,342 46,624 11,180 2,540 195,869 99,789 12,308 15,563 138,373 73,717 34,875 34,662 41,201 45,044 17,793 60,240 81,369 124,085 73,837 28,351 67,548 9,133 20,214 26,257 22,720 104,969 20,125 185,761 93,780 7,844 135,446 35,455 45,834 134,331 10,136 45,266 14,448 70,106 262,791 26,877 7,466 81,954 72,294 17,415 68,292 6,376



2004 (dol.) 32,040 25,789 34,519 32,289 26,968 35,426 34,727 36,316 37,645 11,298 30,585 32,106 33,484 36,256 30,839 30,048 31,888 32,422 25,154 28,176 35,063 33,140 33,447 31,794 37,709 26,350 30,456 25,953 31,488 34,652 50,411 36,655 29,384 28,655 28,368 32,673 30,853 27,862 31,684 29,007 25,863 28,279 52,403 31,866 36,476 36,574 32,920 32,391 31,461 24,295 34,377 35,752



2001 (dol.) 31,307 26,161 33,976 32,192 26,237 33,466 33,563 36,020 36,935 10,334 30,364 32,261 29,953 32,235 30,047 31,432 30,302 33,229 26,335 27,426 35,451 30,467 33,462 33,095 39,018 27,114 30,911 25,617 30,366 32,678 47,923 34,153 29,837 26,376 29,587 30,859 30,872 26,494 33,771 28,316 25,264 29,916 50,358 31,310 34,470 36,859 31,370 30,340 31,242 24,175 33,291 33,312



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



87



Table A-63. States — Retail Sales—Con.

Motor vehicle and parts dealers (NAICS 441) (mil. dol.) Food services and drinking places (NAICS 772) (mil. dol.) Total retail sales + food and drink (mil. dol.) Furniture and home furnishings (NAICS 442) (mil. dol.) Electronics and appliances (NAICS 443) (mil. dol.) Building and material supply (NAICS 444) (mil. dol.)



Geographic area



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 906,076 12,200 1,697 18,436 8,170 111,604 15,999 11,560 3,122 122 63,010 28,583 2,306 4,881 35,026 18,839 9,436 8,615 10,182 12,409 4,138 17,301 20,257 33,550 17,209 7,499 17,963 2,280 4,802 6,762 7,184 29,067 4,883 44,139 25,471 1,855 35,807 11,229 11,312 35,614 2,547 11,995 2,379 19,586 82,487 7,122 2,104 22,821 16,493 4,561 17,837 1,626



2003 889,259 11,724 1,592 18,535 7,845 109,959 15,874 11,423 2,914 110 61,063 28,449 2,116 4,275 34,848 18,699 9,502 8,726 9,874 12,140 4,074 16,394 19,887 33,013 17,059 7,439 17,765 2,174 4,773 6,477 6,967 27,829 4,733 42,587 25,456 1,865 35,401 10,971 11,073 35,624 2,397 11,431 2,466 19,075 81,868 6,882 2,050 21,741 16,180 4,419 17,940 1,578



2004 383,728 4,759 1,048 6,946 2,538 53,044 7,141 4,985 1,327 1,897 20,601 11,695 2,425 1,354 17,456 7,527 3,013 2,952 5,174 5,425 1,547 7,308 11,428 12,382 6,805 2,692 7,359 1,147 2,077 4,125 1,937 10,793 2,182 24,236 10,715 723 14,786 4,077 4,734 15,121 1,921 5,375 917 7,653 30,236 2,398 730 9,022 9,226 1,750 6,400 618



2003 357,906 4,480 959 6,514 2,390 48,764 6,514 4,613 1,250 1,774 18,982 10,995 2,272 1,279 16,550 7,097 2,850 2,848 4,824 5,079 1,432 6,724 10,738 11,676 6,392 2,458 6,887 1,070 1,961 3,736 1,793 9,655 2,022 22,450 10,066 674 13,983 3,830 4,524 14,212 1,755 4,972 856 7,111 28,487 2,234 681 8,480 8,807 1,642 6,005 556



2004 3,906,482 50,618 9,076 74,855 31,464 481,895 68,426 53,814 13,236 4,681 229,956 115,211 16,685 19,564 162,211 79,750 40,101 37,215 46,500 52,810 20,547 76,380 94,893 135,626 80,931 30,884 76,046 10,723 23,563 33,846 27,265 126,940 23,040 229,401 104,764 9,097 154,089 42,369 49,091 155,423 12,911 51,079 16,433 81,572 319,203 29,708 8,905 101,475 84,161 19,875 80,444 7,727



2003 3,724,992 47,715 8,348 72,096 29,921 462,002 65,964 51,264 12,399 4,431 218,991 111,249 15,952 17,416 153,674 76,635 38,721 36,512 44,343 50,074 19,559 70,943 91,025 131,501 77,438 29,355 71,787 9,921 22,420 31,338 25,535 118,760 21,818 218,324 101,778 8,759 147,920 40,657 47,148 149,811 11,687 48,208 15,579 77,277 303,468 28,368 8,394 94,674 80,394 18,930 77,365 7,141



2004 104,986 1,185 132 2,203 663 13,186 2,429 1,508 585 119 6,348 3,446 253 505 4,167 1,726 943 982 860 1,074 368 2,165 2,274 3,501 2,607 822 1,704 235 1,090 1,064 707 4,232 635 6,255 3,516 219 4,081 922 1,161 3,544 311 1,202 218 2,033 8,650 1,015 190 3,436 2,106 343 1,931 135



2003 98,993 1,093 112 2,105 593 12,647 2,393 1,410 522 125 5,938 3,313 233 447 3,918 1,688 884 954 812 979 351 1,961 2,139 3,414 2,381 748 1,601 207 1,036 890 628 3,892 605 6,055 3,378 204 3,868 873 1,130 3,349 276 1,161 208 1,875 8,141 987 173 3,067 1,983 315 1,803 126



2004 98,252 744 172 1,867 482 19,075 1,942 1,414 376 100 5,704 2,334 215 442 4,054 1,584 920 994 661 744 229 2,253 1,812 2,783 2,197 426 1,494 187 437 787 876 3,696 393 5,602 2,062 187 3,912 1,019 1,057 2,780 239 710 174 1,283 9,148 876 186 3,548 1,906 204 1,864 100



2003 98,775 704 151 1,985 470 20,537 1,905 1,353 369 87 5,686 2,401 210 410 4,052 1,510 896 1,042 642 680 233 2,204 1,821 2,881 2,183 402 1,442 176 450 781 815 3,539 394 5,780 2,154 187 3,982 995 1,016 2,781 219 726 179 1,247 9,036 834 177 3,060 1,911 201 1,787 89



2004 355,220 4,581 1,100 5,930 3,041 41,457 7,262 5,180 1,425 277 17,747 12,945 954 2,463 13,950 8,049 5,254 3,512 4,835 4,835 1,967 6,545 7,592 11,169 9,594 3,260 6,778 1,358 2,819 2,871 2,142 9,324 1,802 18,477 11,885 1,719 13,955 3,196 5,150 12,925 824 6,204 1,476 7,066 25,172 3,464 1,045 9,889 8,671 1,828 9,522 736



2003 330,901 4,311 930 5,604 2,742 38,764 6,711 4,760 1,259 236 16,280 12,549 848 2,128 13,157 7,526 5,001 3,296 4,468 4,460 1,833 5,735 7,108 10,663 9,022 3,057 6,358 1,215 2,598 2,702 1,919 8,365 1,639 16,897 11,368 1,604 13,213 2,902 4,767 12,338 692 5,834 1,434 6,545 22,842 3,292 964 9,160 8,167 1,677 9,327 634



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



88



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-63. States — Retail Sales—Con.

Health and personal care (NAICS 446) (mil. dol.) Gasoline stations (NAICS 447) (mil. dol.) Clothing and clothing accessories (NAICS 448) (mil. dol.) Sporting goods, hobby, book and music stores (NAICS 451) (mil. dol.) Miscellaneous stores (NAICS 453) (mil. dol.) Nonstore retailers (NAICS 454) (mil. dol.)



Geographic area



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215,424 2,745 133 3,887 1,305 27,118 2,021 3,299 812 417 14,234 4,688 1,245 557 11,044 4,489 1,956 1,534 2,765 3,106 756 4,287 5,702 10,038 3,494 1,534 3,592 312 1,040 1,456 1,014 9,965 1,129 18,133 5,228 498 10,483 2,170 1,407 10,891 1,161 2,332 409 4,127 12,671 460 404 4,384 3,720 1,685 3,446 143



2003 198,080 2,454 118 3,591 1,196 24,860 1,825 3,063 805 372 13,271 4,230 1,154 461 9,880 4,119 1,794 1,411 2,532 2,806 688 3,988 5,351 9,254 3,157 1,376 3,207 275 941 1,320 915 9,213 1,022 16,921 4,885 452 9,851 1,929 1,317 10,216 1,061 2,011 393 3,514 11,452 426 375 4,084 3,591 1,563 3,257 134



2004 249,258 4,232 503 5,438 2,794 27,174 4,097 2,481 591 234 12,323 9,024 1,029 1,289 8,719 5,970 4,007 2,900 4,286 4,646 1,540 4,049 4,683 7,465 5,847 2,992 6,875 749 1,792 1,759 1,420 5,462 1,944 10,471 7,220 660 9,720 3,833 2,465 8,919 702 4,332 916 6,251 21,918 1,952 711 7,894 4,094 1,888 5,913 1,084



2003 228,063 3,859 451 5,048 2,659 23,963 3,801 2,277 531 216 11,499 8,310 918 1,087 7,829 5,608 3,689 2,751 3,953 4,298 1,380 3,606 4,295 6,855 5,489 2,781 6,277 686 1,630 1,608 1,270 4,920 1,749 9,526 6,733 626 8,731 3,592 2,350 8,449 614 3,857 874 5,718 20,070 1,843 633 7,137 3,808 1,714 5,499 999



2004 184,752 2,086 353 2,493 1,107 25,282 2,562 2,846 681 390 11,736 5,095 1,584 532 8,824 2,468 1,238 1,563 1,456 2,150 809 4,398 5,663 5,245 2,792 1,012 2,457 273 863 2,260 1,091 7,484 855 20,293 4,310 242 6,089 1,060 1,703 7,648 683 2,280 302 3,664 14,367 1,151 309 4,890 3,043 712 2,176 179



2003 179,674 1,986 348 2,368 1,079 24,650 2,568 2,877 643 364 11,415 4,860 1,629 477 8,792 2,416 1,239 1,579 1,438 2,101 790 4,314 5,688 5,139 2,815 954 2,314 258 857 2,148 1,049 7,180 794 19,450 4,336 233 5,964 1,046 1,661 7,454 636 2,153 304 3,564 13,651 1,098 301 4,679 2,998 676 2,175 167



2004 81,733 771 192 1,561 495 11,937 2,183 1,204 361 167 4,037 1,815 357 514 3,019 1,231 661 775 689 745 370 2,033 2,351 3,697 2,170 338 1,406 292 391 639 676 3,512 514 5,868 1,609 248 2,719 763 1,241 2,817 271 628 210 1,324 5,830 775 203 2,072 2,317 268 1,326 137



2003 93,052 836 212 1,773 566 13,897 2,532 1,373 407 210 4,712 2,016 412 530 3,419 1,384 754 852 769 837 429 2,218 2,677 4,272 2,508 385 1,497 314 450 719 731 3,934 575 6,788 1,839 274 3,008 862 1,450 3,244 303 702 242 1,454 6,658 906 229 2,238 2,660 304 1,539 152



2004 99,566 1,323 192 2,715 829 12,122 2,082 1,240 378 136 5,734 2,761 561 560 3,574 1,708 769 915 1,340 1,180 465 1,860 2,341 4,299 2,003 720 1,930 262 421 1,366 588 3,143 1,101 7,154 3,251 203 3,299 1,089 1,514 3,118 283 1,562 235 2,034 7,862 504 190 2,051 2,538 456 1,386 217



2003 113,481 1,452 212 3,019 924 13,954 2,375 1,403 404 169 6,616 3,139 681 604 4,004 1,982 876 1,055 1,531 1,321 528 2,061 2,759 5,041 2,279 829 2,165 281 472 1,494 663 3,550 1,261 8,279 3,788 238 3,718 1,251 1,752 3,554 297 1,767 298 2,293 8,836 538 222 2,270 2,916 520 1,609 234



2004 196,938 1,082 374 3,802 708 13,146 2,733 5,426 514 66 9,733 2,672 134 1,127 11,155 5,242 1,334 819 978 927 2,497 2,321 6,747 3,891 7,080 564 4,337 234 1,895 2,724 2,635 8,535 1,329 11,948 3,366 424 7,719 987 2,550 13,484 921 782 6,446 1,680 19,816 1,222 837 4,873 5,500 391 6,881 351



2003 228,063 3,859 451 5,048 2,659 23,963 3,801 2,277 531 216 11,499 8,310 918 1,087 7,829 5,608 3,689 2,751 3,953 4,298 1,380 3,606 4,295 6,855 5,489 2,781 6,277 686 1,630 1,608 1,270 4,920 1,749 9,526 6,733 626 8,731 3,592 2,350 8,449 614 3,857 874 5,718 20,070 1,843 633 7,137 3,808 1,714 5,499 999



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1



. . . . . .



Includes other types of stores, not shown separately. For information, see Internet site .



Survey, Census, or Data Collection Method: Source:



Market Statistics, a division of Claritas Inc., Arlington, VA, The Survey of Buying Power Data Service, annual (copyright).



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



89



Table A-64. States — Transportation and Warehousing

Transportation and warehousing1 Nonfarm employment (BLS)2 (1,000) Geographic area Net change, 2000– 2002 2002 195,143 2,984 1,048 2,698 2,437 18,455 2,969 1,603 679 207 11,131 5,313 752 1,451 9,646 4,732 3,439 2,461 2,980 3,570 1,279 3,492 3,511 5,157 4,287 2,218 4,913 1,128 2,230 1,086 811 6,961 1,151 11,316 5,372 999 7,151 2,376 2,756 7,239 619 2,355 1,031 4,304 14,175 1,513 528 4,884 4,302 1,445 5,288 711 5,099 –121 70 115 –2 957 121 35 29 3 526 72 36 63 324 195 181 –13 –41 –138 –30 220 100 –4 257 –53 –19 11 110 90 23 189 1 474 –36 66 274 116 25 350 17 14 10 12 96 104 –8 112 74 –57 68 81 Earnings (BEA)3 (mil. dol.) Establishments Vehicle miles of travel (bil.) Commodity shipments (bil. ton-miles) Railroad shipments4 (1,000 tons) Waterborne shipments5 (1,000 short tons)



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

6



2003

6



2000

6



2004 244,582 2,817 1,270 3,836 2,931 27,100 3,719 2,203 559 379 11,448 9,633 1,290 839 13,472 5,419 2,606 2,453 4,769 4,149 721 3,588 3,898 6,930 5,072 1,846 5,150 704 2,897 1,884 623 9,211 1,010 12,202 5,714 596 8,979 2,706 2,714 11,098 444 2,365 513 7,954 24,821 2,266 329 5,614 5,323 1,106 4,777 634



2003 231,926 2,645 1,187 3,524 2,810 25,575 3,568 2,068 474 384 10,881 9,175 1,206 787 12,818 5,158 2,410 2,353 4,505 4,011 683 3,295 3,822 6,687 4,864 1,757 5,179 672 2,727 1,719 601 8,784 927 11,704 5,439 558 8,551 2,545 2,539 10,480 439 2,254 486 7,551 23,105 2,128 316 5,373 4,987 1,053 4,578 585



2001 235,477 2,599 1,197 3,311 2,699 26,013 3,748 1,974 485 (D) 10,977 9,184 1,239 774 13,081 5,115 2,280 2,281 4,301 4,044 664 3,253 3,906 6,733 5,045 1,682 5,104 658 2,853 1,585 584 8,696 891 11,779 5,748 533 8,355 2,985 2,511 10,485 (D) 2,176 489 7,115 26,844 2,106 303 5,393 4,895 1,055 4,382 (D)



2003 2,890 59 5 54 31 324 43 31 9 4 186 109 9 14 107 73 31 29 47 44 15 55 54 101 55 37 68 11 19 19 13 70 23 135 94 7 109 46 35 106 8 48 9 69 223 24 8 77 55 20 60 9



2001 2,796 57 5 50 29 311 43 31 9 4 171 108 9 14 103 72 30 28 46 43 14 52 53 99 53 36 68 10 18 18 12 69 23 131 92 7 107 44 34 103 8 47 9 68 216 23 8 74 54 20 57 9



2002 3,138 61 8 16 38 167 61 5 4 (Z) 61 68 (S) 21 167 83 108 45 100 131 11 15 14 69 154 38 73 62 33 9 5 41 10 55 47 21 127 27 49 90 3 32 18 54 230 38 3 44 47 78 71 421



1997 2,593 44 7 17 31 131 47 12 4 (Z) 55 61 1 14 145 57 57 47 101 115 8 10 13 70 121 28 49 67 48 5 5 35 16 40 45 28 102 24 39 76 1 22 17 40 205 38 2 48 50 71 47 276



2002 1,876,993 43,208 7,451 5,167 20,517 54,718 37,327 1,896 1,263 126 65,127 36,259 – 10,519 116,462 53,174 43,270 21,960 103,604 38,240 4,037 7,741 2,599 36,416 69,156 13,959 18,224 37,179 23,068 2,789 762 10,843 15,672 10,357 13,399 21,638 62,925 21,510 15,346 61,729 209 15,162 7,891 19,570 112,756 23,253 764 48,137 21,799 119,227 18,612 379,977



2001 1,898,840 42,311 7,784 5,926 20,562 57,610 36,163 1,703 1,588 145 64,414 34,410 – 10,416 119,525 55,818 43,044 23,312 109,670 36,990 4,073 7,716 2,582 32,875 74,389 12,851 19,632 38,739 24,176 2,915 1,364 10,939 16,332 10,042 13,707 21,730 61,036 20,299 16,044 59,816 157 15,251 10,326 19,200 108,589 26,534 1,289 54,337 21,263 127,283 16,453 375,511

7



2002 2,340,292 66,888 67,479 (X) 13,166 190,093 (X) 17,610 38,603 557 122,516 23,258 22,637 999 120,349 71,522 16,745 1,726 100,082 484,927 29,140 47,289 26,117 73,778 47,834 47,735 30,043 (X) 219 (X) 4,108 110,120 (X) 88,059 9,674 (X) 119,362 4,440 31,681 115,316 8,437 26,508 (X) 46,174 442,251 (X) (X) 47,494 100,894 80,120 42,464 (X)

7



2001 2,386,558 68,244 67,238 (X) 11,639 186,480 (X) 18,267 37,192 663 121,765 22,023 23,113 1,335 122,739 71,013 14,347 2,339 101,101 496,218 30,586 49,903 26,446 76,617 44,031 46,261 34,705 (X) 178 (X) 4,447 93,834 (X) 103,253 10,667 (X) 119,539 4,133 35,830 125,090 9,170 24,668 (X) 46,733 454,765 (X) (X) 61,840 104,975 79,450 37,438 (X)



4,250 52 19 66 8 65 426 66 41 11 3 205 158 25 17 231 111 50 45 81 8 81 15 69 73 104 81 39 90 13 47 38 13 161 19 224 113 10 164 42 52 198 10 49 9 136 349 41 7 107 85 19 96 10



4,185 52 19 65 8 66 425 65 40 11 4 203 154 24 17 230 107 49 45 80 8 82 15 67 74 105 80 38 92 13 45 37 13 163 19 223 111 10 162 43 51 197 10 49 10 135 340 40 7 107 84 19 94 10



4,410 53 19 64 8 64 461 66 42 12 5 218 162 26 17 245 116 49 48 90 8 81 15 69 82 135 91 37 122 14 43 37 14



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



8



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



8



177 19 239 120 8 172 47 52 195 10 52 10 135 356 44 7 115 91 20 92 10



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



– Represents zero.

1 2 3



D Figure withheld to avoid disclosure.



S Withheld due to high sampling variability or poor response quality.



X Not applicable.



Z Less than 500 mil. ton-miles.



Covers Transportation and warehousing (NAICS 48, 49). Bureau of Labor Statistics. Bureau of Economic Analysis. 4 Rail shipments of all commodities originating in state. 5 Includes domestic and foreign shipments terminating and originating in state and intrastate shipments. U.S. and state totals exclude duplication. 6 United States totals differ from the sum of the state figures because of differing benchmarks among states and differing industrial and geographic stratification. 7 Includes Guam, the Virgin Islands, the Pacific Islands, Puerto Rico, other territories, and trans-shipments. 8 Figure includes Transportation and warehousing (NAICS 48, 49) and Utilities (NAICS 22). Survey, Census, or Data Collection Method: Employment—Based on Current Employment Statistics (CES) survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Earnings—Based on the Regional Economic Information System; for information, see Internet site ; Establishments—Based on tabulations of data extracted from the U.S. Census Bureau’s Business Register; for information, see Internet site ; Vehicle miles of travel—Based on the Highway Performance Monitoring System (HPMS); for information, see Internet site ; Commodity shipments—Based on the Commodity Flow Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Railroad shipments—Based on the Association of American Railroads (AAR) database; for information, see Internet site ; Waterborne shipments—Based on the U.S. Army Corps of Engineers’ (Corps) Navigation Data Center (NDC) database; for information, see Internet site . Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site ; Establishments—U.S. Census Bureau, County Business Patterns, annual, see Internet site ; Vehicle miles of travel—U.S. Federal Highway Administration, Highway Statistics, annual, see Internet site ; Commodity shipments—U.S. Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census, Transportation, Commodity Flow Survey, Individual State Reports, issued December 2004, see Internet site . Data for the District of Columbia are on the CD-ROM; Railroad and waterborne shipments—U.S. Bureau of Transportation Statistics, State Transportation Statistics 2004 and previous years, see Internet site .



90



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-65. States — Trucks Registered and Commodity Transportation

All trucks1 Pick-ups SUVs2 Minivans Commodity transportation, 2002 Shipments Percent change, 1997 1997– (1,000) 2002 72,800.3 1,538.6 248.4 1,390.0 899.2 8,818.8 1,422.0 751.5 206.3 33.0 3,460.2 2,258.4 294.2 550.6 2,674.6 1,852.5 979.3 1,082.6 1,348.0 1,210.1 377.6 1,192.0 1,240.8 2,734.5 1,461.9 813.0 1,626.7 417.2 639.7 539.7 416.6 1,514.3 715.9 2,863.9 1,996.1 340.9 2,985.1 1,373.5 1,411.7 2,605.9 190.7 1,140.7 361.5 1,502.4 4,410.6 563.7 194.5 1,891.6 1,903.5 446.0 1,618.5 291.3 17.0 11.8 10.4 7.9 10.9 4.8 18.0 6.1 20.5 29.1 25.1 21.0 19.4 21.0 22.5 20.0 19.0 –0.3 0.5 19.1 3.3 15.4 23.4 31.0 16.2 –8.8 6.9 13.5 12.1 19.8 –3.2 40.2 3.6 23.2 26.7 10.6 17.2 8.1 4.6 18.5 13.6 2.9 –4.1 35.2 45.4 28.3 25.5 4.9 1.0 49.2 17.9 –3.5 Percent change, 1997 1997– (1,000) 2002 36,191.8 943.2 138.6 784.8 627.6 4,367.3 697.9 277.8 86.0 7.5 1,498.2 1,235.4 144.2 336.8 1,039.6 943.1 530.4 595.5 800.6 735.0 208.9 471.9 430.5 1,176.0 688.8 553.2 894.2 259.4 343.0 283.8 194.1 393.4 432.0 952.3 1,036.7 184.0 1,362.5 802.9 777.7 1,074.7 73.7 643.1 202.9 851.0 2,578.9 284.6 102.6 938.4 1,026.1 262.6 742.3 175.9 5.0 1.5 1.0 –5.6 –3.5 –6.1 5.5 –9.9 5.6 –12.2 15.0 9.2 9.5 6.0 –1.3 7.8 13.1 –5.6 –7.9 9.5 –4.6 0.2 7.5 22.9 6.4 –14.8 4.5 10.2 3.1 8.4 –10.9 25.4 –3.1 –1.6 15.1 7.2 5.1 –6.4 –0.3 12.4 10.7 –9.4 –7.6 24.0 29.0 18.1 12.0 –12.8 –9.0 38.1 10.1 –5.0 Percent change, 1997 1997– (1,000) 2002 15,533.1 251.1 64.1 333.2 127.8 1,982.5 422.8 264.7 53.9 11.9 808.3 416.5 64.4 112.6 521.0 275.8 137.6 174.5 205.0 177.2 77.3 290.8 401.5 645.5 276.1 107.3 315.8 71.5 98.8 149.8 105.9 530.7 126.2 881.1 398.1 49.3 476.9 168.5 276.7 682.0 56.8 208.3 57.7 231.7 906.5 146.6 38.9 429.3 438.0 86.9 341.0 56.7 55.8 79.3 34.7 12.5 74.2 38.7 50.1 18.5 49.6 81.2 37.3 114.3 68.7 26.7 69.3 103.4 97.1 29.7 44.7 87.3 18.7 59.3 44.4 71.5 78.8 45.2 20.6 33.8 56.0 41.6 17.1 72.0 59.0 47.2 73.0 47.1 84.9 54.8 35.5 40.3 –2.2 45.6 27.8 150.8 96.6 64.0 74.1 44.9 18.9 82.9 40.0 5.8 Percent change, 1997 1997– (1,000) 2002 9,837.9 116.1 16.1 96.1 77.5 1,277.0 135.3 102.9 34.5 6.3 597.4 272.8 51.0 36.9 524.4 301.6 116.5 123.3 136.2 146.9 44.8 215.2 226.6 513.1 260.0 65.1 177.1 27.3 62.0 43.8 57.4 292.7 64.5 521.6 255.9 24.3 530.1 127.0 156.8 428.7 28.9 120.1 38.7 148.6 383.5 58.4 25.2 229.5 207.3 36.5 282.7 15.6 Weight (1,000 tons) 11,667,919 216,383 36,498 100,872 120,127 903,954 150,476 48,894 30,988 1,407 455,084 339,846 23,659 34,971 718,351 397,829 232,544 192,854 336,341 495,703 32,121 165,399 75,123 331,190 336,237 98,720 254,827 89,547 101,684 44,210 33,751 237,847 48,841 249,551 276,004 88,302 546,095 136,033 158,053 399,764 19,389 142,708 52,286 270,265 1,082,596 109,672 16,218 268,935 259,594 275,583 229,502 401,092 Percent going out of state



Geographic area



2002 (1,000) United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85,174.8 1,720.7 274.2 1,500.1 996.9 9,245.6 1,677.4 797.2 248.6 42.6 4,329.3 2,733.2 351.4 666.4 3,277.2 2,222.2 1,165.6 1,079.1 1,355.4 1,441.3 390.0 1,375.7 1,530.7 3,581.3 1,698.4 741.1 1,739.5 473.5 717.0 646.5 403.2 2,122.3 741.9 3,527.6 2,528.3 377.0 3,499.3 1,484.6 1,476.5 3,088.7 216.7 1,173.3 346.6 2,030.5 6,412.0 723.0 244.1 1,983.9 1,923.1 665.3 1,907.6 281.2



2002 (1,000) 37,991.1 957.1 139.9 740.6 605.4 4,100.8 736.3 250.4 90.8 6.6 1,723.4 1,349.3 157.9 356.9 1,026.2 1,016.5 600.1 562.3 737.7 805.0 199.3 473.0 462.7 1,445.2 732.6 471.3 934.5 286.0 353.8 307.6 173.0 493.3 418.5 937.4 1,193.4 197.4 1,431.7 751.1 775.1 1,207.8 81.6 582.5 187.4 1,055.5 3,326.7 336.1 114.8 818.0 933.3 362.6 817.5 167.1



2002 (1,000) 24,204.4 450.2 86.4 374.9 222.7 2,750.3 634.6 313.6 80.7 21.6 1,109.4 892.4 108.5 142.7 882.1 560.9 271.2 226.4 296.6 332.0 91.8 463.3 579.9 1,106.7 493.6 155.8 380.8 95.7 154.2 212.0 124.0 912.6 200.7 1,296.8 688.7 72.6 881.7 260.8 374.9 957.2 55.6 303.2 73.7 581.2 1,782.2 240.5 67.7 621.8 520.9 158.9 477.5 60.0



2002 (1,000) 12,207.3 131.0 24.1 171.3 91.9 1,434.6 136.4 125.5 43.9 8.4 780.2 205.3 53.2 53.5 823.2 322.8 153.6 108.0 142.9 152.4 56.9 260.3 277.2 624.6 260.5 43.8 221.5 32.2 93.5 62.8 62.7 385.1 63.7 776.6 278.1 41.0 610.3 117.7 191.9 563.4 41.6 156.4 36.6 179.1 693.8 81.1 36.1 290.6 282.0 60.0 346.9 17.3



Value (mil. dol.)



Value (X) 68.4 10.9 55.9 76.0 39.6 54.1 75.3 76.6 84.1 34.4 63.6 5.1 67.0 62.7 71.6 74.5 72.8 78.0 45.5 67.8 61.9 71.0 51.2 58.5 76.8 69.4 43.5 66.4 70.7 83.1 72.8 51.2 61.2 60.6 55.7 65.8 67.2 59.8 66.8 83.8 71.4 72.8 79.6 37.9 58.1 74.2 57.1 31.1 75.5 65.8 62.3



Weight (X) 43.3 3.9 20.4 50.9 9.0 40.3 26.5 43.5 (S) 9.7 29.3 5.2 53.4 37.7 36.6 48.5 33.8 57.6 30.4 44.8 33.2 30.8 29.6 43.2 53.4 49.6 58.6 33.5 28.7 33.5 37.6 37.0 33.8 25.6 26.8 38.8 34.0 26.4 41.5 51.0 37.9 45.3 41.2 15.4 43.8 36.5 31.3 23.4 66.5 44.0 87.4



24.1 8,397,210 12.8 49.4 78.3 18.5 12.3 0.9 22.0 27.4 31.9 30.6 –24.7 4.3 45.0 57.0 7.0 31.9 –12.4 4.9 3.7 26.9 20.9 22.3 21.7 0.2 –32.7 25.1 17.8 50.9 43.3 9.2 31.6 –1.3 48.9 8.7 68.9 15.1 –7.3 22.4 31.4 43.8 30.2 –5.6 20.5 80.9 38.9 43.4 26.6 36.0 64.4 22.7 10.8 127,727 8,032 111,273 91,967 923,669 93,184 82,477 20,348 3,707 296,989 270,703 13,480 28,471 442,130 291,458 115,396 95,285 189,390 139,843 32,355 121,356 200,813 388,571 166,430 94,897 185,392 12,447 61,797 40,756 31,191 286,580 14,907 318,775 293,604 18,921 494,278 77,576 102,600 354,399 21,035 143,194 26,430 286,576 589,064 61,515 16,238 164,557 177,395 38,479 217,451 12,106



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



S Estimate does not meet publication standards.

1 2



X Not applicable.



Includes other truck types not shown separately. Sport utility vehicles.



Survey, Census, or Data Collection Method: Trucks, pick-ups, SUVs, and minivans—Based on the 2002 and 1997 Vehicle Inventory and Use Surveys; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Commodity transportation—Based on the 2002 Commodity Flow Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site . Sources: Trucks, pick-ups, SUVs, and minivans—U.S. Census Bureau, 2002 Economic Census, Vehicle Inventory and Use Survey, Geographic Area Series, issued December 2004, see Internet site ; Commodity transportation—U.S. Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census, Transportation, Commodity Flow Survey, issued December 2004, see Internet site . Data for the District of Columbia are on the CD-ROM.



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U.S. Census Bureau



91



Table A-66. States — Motor Vehicle Registrations, Motorcycle Registrations, Highway



Mileage, Bridges, and Driver’s Licenses

Motor vehicle registrations 2003 Geographic area Number (1,000) Total2 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231,390 4,329 637 3,574 1,889 30,248 2,027 2,964 687 228 14,526 7,730 903 1,301 9,250 5,739 3,369 2,314 3,389 3,714 1,052 3,877 5,479 8,540 4,525 1,951 4,460 1,010 1,677 1,222 1,145 6,712 1,509 10,802 6,119 694 10,536 3,074 3,061 9,724 806 3,162 827 4,796 14,889 2,006 516 6,346 5,379 1,409 4,647 620 Automobile 135,670 1,771 261 1,992 955 18,699 888 2,041 419 184 8,564 4,192 525 554 5,769 3,252 1,883 834 1,959 1,997 619 2,479 3,615 4,805 2,502 1,139 2,600 437 855 624 656 4,449 694 8,313 3,654 346 6,519 1,623 1,545 6,121 549 1,915 388 2,782 7,842 1,014 272 4,044 2,969 756 2,578 232 Trucks 94,944 2,549 373 1,577 926 11,496 1,134 3 912 266 41 5,915 3,519 373 743 3,464 2,458 1,477 1,477 1,416 1,695 430 1,386 1,853 3,709 2,007 803 1,848 571 815 596 3 487

3 3



2000 Rate per 1,000 persons1 795.7 961.3 982.3 640.6 692.3 853.0 445.8 849.9 839.5 409.5 854.5 891.0 723.0 951.8 731.3 925.8 1,145.1 849.4 822.9 826.4 803.3 703.3 853.4 847.1 893.6 676.8 779.8 1,100.6 965.3 544.9 888.5 776.6 803.5 562.2 726.6 1,096.1 921.2 876.6 858.7 786.1 748.8 762.1 1,081.1 820.4 673.6 853.0 833.3 861.6 877.3 777.7 848.9 1,234.5 Rate per 1,000 persons1 787.0 890.5 948.1 739.6 688.3 817.7 842.9 837.9 804.6 423.2 737.1 874.0 608.8 910.2 722.5 916.2 1,061.5 854.0 699.2 795.9 803.3 726.4 829.3 848.8 941.1 804.8 818.3 1,137.5 946.0 610.4 851.1 759.4 840.3 539.3 773.3 1,080.4 922.0 873.6 883.1 754.0 724.6 771.4 1,049.9 847.2 674.8 728.8 845.7 854.1 868.0 797.3 813.9 1,186.1



Motorcycle registrations (1,000)



Number (1,000) 221,475 3,960 594 3,795 1,840 27,698 3,626 2,853 630 242 11,781 7,155 738 1,178 8,973 5,571 3,106 2,296 2,826 3,557 1,024 3,848 5,265 8,436 4,630 2,289 4,580 1,026 1,619 1,220 1,052 6,390 1,529 10,235 6,223 694 10,467 3,014 3,022 9,260 760 3,095 793 4,820 14,070 1,628 515 6,046 5,116 1,442 4,366 586



2003 5,328 70 20 208 38 547 8 63 15 1 386 118 22 44 261 144 140 56 51 57 35 64 130 214 174 27 74 66 27 37 60 140 32 150 95 19 285 72 75 268 25 57 38 94 258 38 26 73 141 19 240 28



2000 4,304 54 16 164 25 434 98 54 11 1 249 87 20 42 195 117 126 50 44 48 29 49 107 182 143 32 61 26 21 24 49 111 28 106 82 17 254 57 69 215 19 51 29 71 182 28 22 60 118 26 179 19



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



2,240 812 2,428 2,433 346



3,977 1,433 1,501 3 3,567 3 255 1,230 436 1,996 6,963 991 242 2,284 2,400 649 2,055 385



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



92



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-66. States — Motor Vehicle Registrations, Motorcycle Registrations, Highway Mileage, Bridges, and Driver’s Licenses—Con.

Highway mileage, 2003 (1,000) Geographic area Other arterial 383,392 8,795 1,513 4,664 6,839 27,133 8,191 2,785 630 264 12,162 13,126 752 3,841 14,030 7,963 9,680 9,197 5,850 5,246 2,288 3,732 6,188 12,101 12,702 7,372 9,414 6,038 8,007 2,875 1,609 5,538 5,028 13,502 8,937 5,879 10,868 8,163 6,818 13,194 832 6,876 6,352 8,935 28,537 3,360 1,299 8,250 7,324 3,170 11,870 3,673 Bridges, 2004 Driver’s licenses (1,000)



Total United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,974,107 94,434 14,230 57,529 98,541 169,549 86,821 21,089 5,894 1,536 120,375 116,534 4,309 46,927 138,526 94,597 113,516 135,012 77,011 60,937 22,693 30,688 35,590 122,222 131,893 74,105 124,685 69,450 93,198 33,977 15,630 38,952 63,953 113,124 102,160 86,782 123,522 112,578 65,951 120,423 6,415 66,230 83,688 88,518 301,987 42,716 14,359 71,242 82,264 36,993 113,270 27,482



Interstate 46,508 905 1,082 1,167 656 2,458 956 346 41 13 1,471 1,245 55 611 2,170 1,169 782 874 763 904 367 481 569 1,243 912 685 1,181 1,192 482 560 235 431 1,000 1,674 1,019 572 1,574 930 728 1,758 71 842 679 1,073 3,233 940 320 1,118 764 549 745 913



Collector 788,926 20,530 2,753 8,549 20,077 32,074 16,586 3,037 939 152 14,194 23,342 831 10,075 21,701 22,663 31,485 33,364 16,040 10,132 5,975 4,825 4,836 25,814 29,602 15,286 24,976 16,368 20,778 5,210 2,789 3,839 7,234 20,557 17,621 11,736 22,518 25,305 17,503 19,802 879 13,378 19,234 17,905 63,508 7,838 3,129 14,081 16,807 8,777 21,408 10,884



Local 2,745,411 64,183 8,882 42,999 70,879 106,450 60,809 14,685 4,270 1,085 92,078 78,698 2,637 32,400 100,537 62,666 71,569 91,444 54,293 44,621 14,045 21,363 23,709 82,758 88,524 50,716 88,788 45,852 63,910 25,280 10,960 28,742 50,686 76,593 74,284 68,595 88,078 77,994 40,849 85,153 4,548 45,063 57,423 60,459 205,539 30,571 9,592 47,569 57,079 24,488 79,009 12,007



Number 591,750 15,648 1,187 7,119 12,456 23,823 8,182 4,167 850 251 11,469 14,461 1,099 4,047 25,727 18,171 24,902 25,525 13,500 13,362 2,371 5,064 4,954 10,818 13,026 16,838 23,791 5,043 15,455 1,611 2,357 6,484 3,839 17,301 17,340 4,507 27,907 23,312 7,261 22,253 749 9,201 5,961 19,688 48,950 2,805 2,690 13,160 7,543 6,881 13,611 3,033



Number deficient and obsolete 157,269 4,679 353 717 3,132 6,668 1,387 1,363 122 157 2,118 2,948 513 730 4,361 4,016 6,958 5,900 4,104 4,324 843 1,479 2,546 3,121 1,633 4,697 8,244 1,074 3,975 198 788 2,370 724 6,552 5,196 1,062 7,102 8,757 1,848 9,404 405 2,130 1,490 4,499 10,195 506 954 3,348 2,056 2,555 2,339 629



2003 196,166 3,598 481 3,819 1,998 22,657 2,975 2,660 585 313 12,906 5,758 834 921 8,054 4,536 1,978 1,987 2,800 3,120 932 3,552 4,646 7,065 3,036 1,886 3,966 705 1,311 1,488 968 5,729 1,236 11,357 6,015 460 7,656 2,348 2,590 8,370 731 2,919 555 4,204 13,498 1,548 543 5,046 4,407 1,272 3,766 378



2000 190,625 3,521 465 3,434 1,948 21,244 3,107 2,653 557 348 12,853 5,550 769 884 7,961 3,976 1,953 1,908 2,694 2,759 920 3,382 4,490 6,925 2,941 2,008 3,856 679 1,195 1,371 930 5,655 1,239 10,871 5,690 459 8,206 2,295 2,495 8,229 654 2,843 544 4,251 13,462 1,463 506 4,837 4,155 1,347 3,770 371



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1 2 3



. . . . . .



Based on total population residing in area; population enumerated as of April 1 for 2000; estimated as of July 1 for all other years. Includes buses not shown separately. Figure does not include farm trucks registered at a nominal fee and restricted to use in the vicinity of the owner’s farm.



Survey, Census, or Data Collection Method: Registrations and driver’s licenses—Based on data provided to the U.S. Federal Highway Administration by individual states; for information, see Internet sites and ; Highway mileage—Based on the Highway Performance Monitoring System (HPMS); for information, see Internet site ; Bridges—Based on the National Bridge Inventory (NBI); for information, see Internet site . Sources: Registrations, highway mileage, and driver’s licenses—U.S. Federal Highway Administration, Highway Statistics, annual, see Internet site ; Bridges—U.S. Federal Highway Administration, Office of Bridge Technology, see Internet site .



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U.S. Census Bureau



93



Table A-67. States — Traffic Fatalities and Shoulder Belt Use

Traffic fatalities Number Geographic area Fatality rate1 Persons killed in alcohol-related crashes Percent of all persons killed in crashes 2000 1.5 1.8 2.3 2.1 2.2 1.2 1.6 1.1 1.5 1.4 2.0 1.5 1.5 2.0 1.4 1.3 1.5 1.6 1.8 2.3 1.2 1.2 0.8 1.4 1.2 2.7 1.7 2.4 1.5 1.8 1.0 1.1 1.9 1.1 1.7 1.2 1.3 1.5 1.3 1.5 1.0 2.3 2.1 2.0 1.7 1.7 1.1 1.2 1.2 2.1 1.4 1.9 2003 17,013 415 35 470 254 1,626 246 131 60 34 1,274 488 72 107 639 262 145 206 276 406 75 281 207 481 267 320 504 128 121 182 52 275 198 529 554 52 467 255 207 618 57 488 98 447 1,709 46 29 364 259 148 387 62 2002 17,524 410 37 489 241 1,628 314 144 50 24 1,279 533 47 91 653 262 137 227 302 427 50 276 224 494 256 335 518 126 117 165 50 281 219 482 592 49 558 251 180 649 46 549 92 485 1,810 71 27 379 299 179 360 67 2003 40 41 37 42 41 39 39 45 42 50 40 30 53 37 44 31 33 44 30 45 36 43 45 37 41 37 41 49 41 50 41 37 45 35 36 50 37 38 40 39 55 50 48 37 47 15 41 39 43 37 46 38 2002 41 40 41 43 38 40 42 44 41 52 41 35 39 34 46 33 34 45 33 47 23 42 49 39 39 38 43 47 38 43 39 36 49 32 38 50 39 34 41 40 55 52 51 41 47 22 35 41 45 41 45 38 By highest BAC in crash2 0.01 to 0.07 2003 2,383 40 3 63 51 249 26 17 9 4 185 68 18 18 99 40 26 24 36 44 6 73 37 86 36 32 80 20 22 24 8 35 28 71 80 6 66 35 32 77 5 64 8 43 209 8 8 55 31 22 47 12 2002 2,432 44 2 61 35 302 38 19 8 2 172 88 7 16 96 45 27 27 38 62 4 54 33 68 45 40 70 19 20 22 5 41 26 78 66 8 67 36 27 93 9 64 13 73 201 7 5 52 33 18 38 7 0.08 or more 2003 14,630 376 31 408 203 1,378 221 114 51 29 1,089 420 54 90 539 223 119 182 240 363 69 208 170 395 231 288 425 108 99 159 43 240 170 458 474 47 402 220 175 542 52 423 90 404 1,500 39 21 309 228 126 340 50 2002 15,093 366 35 428 206 1,326 276 125 42 22 1,107 445 39 75 556 216 110 200 263 365 47 223 191 425 211 295 448 107 96 143 45 240 192 403 527 40 491 215 153 556 37 485 79 412 1,610 65 22 327 267 161 322 60 2004 80.0 80.0 76.7 95.3 64.2 90.4 79.3 82.9 82.3 87.1 76.3 86.7 95.1 74.0 83.0 83.4 86.4 68.3 66.0 75.0 72.3 89.0 63.3 90.5 82.1 63.2 75.9 80.9 79.2 86.6 (NA) 82.0 89.7 85.0 86.1 67.4 74.1 80.3 92.6 81.8 76.2 65.7 69.4 72.0 83.2 85.7 79.9 79.9 94.2 75.8 72.4 70.1 2003 79.0 77.4 78.9 86.2 62.8 91.2 77.7 78.0 74.9 84.9 72.6 84.5 91.8 71.7 80.1 82.3 86.8 63.6 65.5 73.8 (NA) 87.9 61.7 84.8 79.4 62.2 72.9 79.5 76.1 78.7 49.6 81.2 87.2 84.6 86.1 63.7 74.7 76.7 90.4 79.0 74.2 72.8 69.9 68.5 84.3 85.2 82.4 74.6 94.8 73.6 69.8 (NA) 2001 73.0 79.4 62.6 74.4 54.5 91.1 72.1 78.0 67.3 83.6 69.5 79.0 82.5 60.4 71.4 67.4 80.9 60.8 61.9 68.1 (NA) 82.9 56.0 82.3 73.9 61.6 67.9 76.3 70.2 74.5 (NA) 77.6 87.8 80.3 82.7 57.9 66.9 67.9 87.5 70.5 63.2 69.6 63.3 68.3 76.1 77.8 67.4 72.3 82.6 52.3 68.7 (NA) Percent of drivers and passengers in the front right seat using safety belts



2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,643 1,001 95 1,120 627 4,215 632 294 142 67 3,169 1,603 135 293 1,453 834 441 471 928 894 207 649 462 1,283 657 871 1,232 262 293 368 127 747 439 1,491 1,531 105 1,277 668 512 1,577 104 968 203 1,193 3,675 309 69 943 600 394 848 165



2002 43,005 1,038 89 1,132 640 4,088 743 325 124 47 3,136 1,524 119 264 1,420 792 405 507 915 907 216 661 459 1,277 657 885 1,208 269 307 381 127 771 449 1,530 1,576 97 1,418 739 436 1,614 84 1,053 180 1,177 3,823 328 78 914 658 439 803 176



2000 41,945 996 106 1,036 652 3,753 681 341 123 48 2,999 1,541 132 276 1,418 886 445 461 820 938 169 588 433 1,382 625 949 1,157 237 276 323 126 731 432 1,460 1,557 86 1,366 650 451 1,520 80 1,065 173 1,307 3,779 373 76 929 631 411 799 152



2003 1.5 1.7 1.9 2.1 2.1 1.3 1.5 0.9 1.6 1.6 1.7 1.5 1.5 2.1 1.4 1.2 1.4 1.6 2.0 2.0 1.4 1.2 0.9 1.3 1.2 2.3 1.8 2.4 1.5 1.9 1.0 1.1 1.9 1.1 1.6 1.4 1.2 1.5 1.5 1.5 1.2 2.0 2.4 1.7 1.6 1.3 0.8 1.2 1.1 2.0 1.4 1.8



2002 1.5 1.8 1.8 2.2 2.1 1.3 1.7 1.0 1.4 1.3 1.8 1.4 1.3 1.9 1.4 1.1 1.3 1.8 2.0 2.1 1.5 1.2 0.9 1.3 1.2 2.4 1.8 2.6 1.6 2.1 1.0 1.1 2.0 1.2 1.7 1.3 1.3 1.6 1.3 1.5 1.0 2.2 2.1 1.7 1.7 1.3 1.0 1.2 1.2 2.2 1.4 2.0



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



NA Not available.

1 2



Deaths per 100 million vehicle miles traveled. BAC means blood alcohol concentration. BAC is measured in grams per deciliter (g/dl).



Survey, Census, or Data Collection Method: Traffic fatalities and persons killed in alcohol-related crashes—Based on the Fatality Analysis Reporting System (FARS); for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Safety belts—For states, based on surveys conducted in accordance with Section 157, Title 23, U.S. Code; For national figures, based on the National Occupant Protection Use Survey (NOPUS); for information, see Internet site . Sources: Traffic fatalities and persons killed in alcohol-related crashes—U.S. National Highway Traffic Safety Administration, Traffic Safety Facts, annual, see Internet site ; Safety belts—U.S. Department of Transportation, National Highway Traffic Safety Administration, Safety Belt Use in 2004—Use Rates in the States and Territories, Washington, DC: November 2004, see Internet site .



94



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-68. States — Communications

Percent of households with telephones Geographic area Mobile wireless telephone subscribers1 (1,000) Percent of— Households with computers Households with Internet access High-speed telecommunication lines (1,000) Total By type of users, Dec. 2004 Residential and small business

3



Telecommunications revenue (mil. dol.)



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.8 92.2 95.6 91.8 88.6 96.0 95.8 95.5 96.0 91.9 93.4 91.2 95.4 94.8 90.1 91.8 95.4 94.8 91.4 90.9 96.6 93.4 96.4 93.7 97.1 89.6 93.7 93.5 95.7 92.2 96.4 95.1 91.4 94.5 93.3 95.0 94.9 91.0 95.5 95.6 95.3 93.4 93.6 92.8 91.8 96.3 95.9 94.0 95.5 93.2 95.5 94.6



1984 91.6 88.4 86.5 86.9 86.6 92.5 93.2 95.5 94.3 94.9 88.7 86.2 93.5 90.7 94.2 91.6 96.2 94.3 88.1 89.7 93.4 95.7 95.9 92.8 95.8 82.4 91.5 91.0 95.7 90.4 94.3 94.8 82.0 91.8 88.3 94.6 92.4 90.3 90.6 94.9 93.6 83.7 93.2 88.5 88.4 92.5 92.3 93.1 93.0 87.7 95.2 89.9

3



2004 181,105 2,581 321 3,299 1,459 23,458 2,808 2,181 646 658 13,169 5,730 881 706 8,076 3,158 1,558 1,454 2,189 2,835 663 3,900 4,043 5,767 2,973 1,518 3,109 (D) 1,046 1,463 728 7,389 988 10,835 5,364 373 6,628 1,760 2,029 7,037 607 2,369 429 3,531 13,092 1,345 (D) 4,240 3,771 762 2,997 302

3



2000 101,043 1,386 (D) 1,855 744 12,711 1,856 1,277 371 355 6,370 2,755 524 345 5,144 1,715 832 801 1,026 1,306 360 2,299 2,649 3,552 1,851 787 1,767 (D) 659 685 387 3,575 443 5,918 3,106 (D) 4,150 1,124 1,201 4,129 356 1,393 (D) 1,986 7,549 750 (D) 2,708 2,286 392 1,699 (D)



2003 61.8 53.9 72.7 64.3 50.0 66.3 70.0 69.2 59.5 64.3 61.0 60.6 63.3 69.2 60.0 59.6 64.7 63.8 58.1 52.3 67.8 66.0 64.1 59.9 67.9 48.3 60.7 59.5 66.1 61.3 71.5 65.5 53.9 60.0 57.7 61.2 58.8 55.4 67.0 60.2 62.3 54.9 62.1 56.7 59.0 74.1 65.5 66.8 71.4 55.0 63.8 65.4



1998 42.1 34.3 62.4 44.3 29.8 47.5 55.3 43.8 40.5 41.4 39.5 35.8 42.3 50.0 42.7 43.5 41.4 43.7 35.9 31.1 43.4 46.3 43.4 44.0 47.6 25.7 41.8 40.9 42.9 41.6 54.2 48.1 42.2 37.3 35.0 40.2 40.7 37.8 51.3 39.3 41.0 35.7 41.6 37.5 40.9 60.1 48.7 46.4 56.3 28.3 43.0 46.1



2003 54.6 45.7 67.6 55.2 42.4 59.6 63.0 62.9 53.2 56.8 55.6 53.5 55.0 56.4 51.1 51.0 57.1 54.3 49.6 44.1 57.9 59.2 58.1 52.0 61.6 38.9 53.0 50.4 55.4 55.2 65.2 60.5 44.5 53.3 51.1 53.2 52.5 48.4 61.0 54.7 55.7 45.6 53.6 48.9 51.8 62.6 58.1 60.3 62.3 47.6 57.4 57.7



1998 26.2 21.6 44.1 29.3 14.7 30.7 34.5 31.8 25.1 24.2 27.8 23.9 27.9 27.4 26.5 26.1 21.8 25.7 21.1 17.8 26.0 31.0 28.1 25.4 29.0 13.6 24.3 21.5 22.9 26.5 37.1 31.3 25.8 23.7 19.9 20.6 24.6 20.4 32.7 24.9 27.1 21.4 23.9 21.3 24.5 35.8 31.8 27.9 36.6 17.6 25.1 22.7

3



2004 37,891 410 110 751 220 5,383 623 603 93 115 2,683 1,229 (D) 126 1,535 642 267 387 361 486 143 796 1,144 1,097 652 169 591 73 217 344 216 1,473 146 2,809 1,121 48 1,347 392 511 1,405 165 416 40 630 2,598 238 72 998 889 155 650 46

3



2000 7,070 63 1 154 29 1,387 105 112 7 28 461 204 (D) 16 242 60 58 69 33 75 26 124 289 198 117 12 100 7 54 60 42 285 28 603 137 4 231 95 77 177 31 64 3 122 523 36 8 140 196 6 76 (D)



Other2

3



2003 prel. 288,322 4,335 816 4,891 2,466 34,048 5,005 3,878 873 1,335 18,585 9,417 1,210 1,235 11,911 5,284 2,707 2,470 3,611 4,224 1,357 6,064 6,973 9,340 4,675 2,671 5,667 909 1,796 2,264 1,371 10,040 1,703 20,626 8,308 640 10,402 3,204 3,326 12,069 963 4,180 667 5,457 21,472 1,984 628 8,095 6,081 1,671 4,852 566



2000 290,524 4,008 717 4,972 2,315 33,577 5,290 3,924 875 1,648 18,308 8,919 1,177 1,210 13,516 5,552 2,340 2,571 3,573 3,964 1,328 5,783 7,428 9,937 4,877 2,486 5,688 937 1,760 1,954 1,429 10,670 1,515 20,903 8,619 731 10,902 2,915 3,159 12,200 1,012 4,047 763 5,256 21,405 1,998 717 8,013 6,253 1,625 5,195 563



35,266 360 101 699 211 4,972 582 581 90 92 2,438 1,043 (D) 123 1,409 606 257 373 324 445 138 759 1,096 1,041 620 150 543 69 205 317 209 1,391 138 2,623 1,025 47 1,249 375 490 1,329 161 378 39 569 2,442 226 70 949 848 151 616 29



2,624 50 9 52 9 411 40 23 3 23 245 186 (D) 3 126 35 10 15 37 41 5 37 48 56 32 19 49 4 12 27 7 82 8 186 95 1 98 17 21 77 5 38 1 61 155 12 2 50 41 4 33 17



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



D Data withheld to avoid disclosure of individual company data.

1 2 3



Carriers with under 10,000 subscribers in a state were not required to report. Includes medium and large business, institutional, and government customers. Includes disclosed data for states shown here and island areas not shown here.



Survey, Census, or Data Collection Method: Households with telephones, computers, and Internet access—Based on the Current Population Survey; for information, see Appendix B, Limitations of the Data and Methodology, and the following document at ; Mobile wireless subscribers—Based on the Federal Communications Commission’s Local Competition and Broadband Data Reporting Program (FCC Form 477); for information, see Internet site ; High-speed lines—Based on the Federal Communications Commission’s (FCC) Form 477; for information, see Internet site ; Revenue—Based on FCC Form 499-A and FCC Form 499-Q; for information, see Internet site . Sources: Households with telephones—Federal Communications Commission, Telephone Subscribership in the United States (released March 2005), see Internet site ; Mobile wireless subscribers—Federal Communications Commission, Local Telephone Competition: Status as of December 31, 2004 (released July 2005), see Internet site ; Households with computers and Internet—U.S. Department of Commerce, National Telecommunications and Information Administration, Falling through the Net: Defining the Digital Divide, July 1999, and A Nation Online, 2004; High-speed lines—Federal Communications Commission, High-Speed Services for Internet Access: Status as of December 31, 2004 (released July 2005), see Internet site ; Revenue—Federal Communications Commission, Trends in Telephone Service 2005 (released June 2005), see Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



95



Table A-69. States — Information Industries and Newspapers

Information industries1 Daily newspapers2



Geographic area



Nonfarm employment (BLS)3 (1,000)



Earnings (BEA)4 (mil. dol.)



Establishments Net change, 2000– 2002 5,000 87 40 211 86 422 –178 106 29 16 508 263 48 61 3 30 10 –25 54 41 32 97 173 178 151 –18 64 49 40 105 29 118 27 154 45 14 202 73 123 233 16 4 22 –36 720 186 28 213 149 24 –57 30



Number



Net paid circulation5 (1,000)



Circulation, per capita6



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

7



2003

7



2000

7



2004 293,577 1,882 458 3,121 1,782 57,492 11,132 3,912 539 2,739 12,844 12,798 798 489 11,058 2,481 1,767 3,549 1,536 2,034 670 4,520 8,476 4,882 4,374 880 5,259 415 1,262 1,145 955 11,588 781 35,835 5,200 421 6,218 2,213 2,362 9,205 959 1,701 369 3,056 21,264 1,670 348 9,680 11,451 613 3,214 182



2003 276,104 1,771 428 2,987 1,613 51,044 10,905 3,611 521 2,576 11,943 12,156 701 421 11,148 2,250 1,638 3,482 1,459 1,857 611 4,146 7,947 4,621 4,068 843 4,942 375 1,214 1,122 861 11,119 764 33,394 5,160 381 5,904 2,057 2,189 9,134 848 1,568 334 2,902 20,008 1,541 325 9,069 12,480 619 2,887 159



2001 284,582 1,886 409 3,045 1,373 54,132 11,296 3,635 524 (D) 11,815 12,084 709 408 11,278 2,199 1,676 3,152 1,497 1,725 584 4,332 9,151 4,605 4,156 868 4,887 344 1,186 1,175 921 11,582 757 33,224 (D) 349 6,127 1,982 2,347 9,007 776 1,515 305 2,822 20,805 1,671 308 11,305 13,626 582 2,779 (D)



2002 138,590 1,682 405 2,165 1,008 20,778 3,270 1,832 383 779 7,832 4,154 581 679 5,730 2,230 1,577 1,517 1,534 1,442 732 2,551 3,950 3,860 2,774 1,003 2,555 646 888 1,015 773 4,132 821 11,157 3,188 396 4,143 1,511 1,894 5,149 395 1,236 464 2,428 9,514 1,291 511 3,799 3,096 718 2,065 357



2004 1,456 24 7 16 28 90 30 17 2 2 40 34 6 12 67 68 37 43 23 26 7 13 32 48 25 23 42 11 17 8 11 17 18 59 47 10 84 42 19 81 6 16 11 26 85 6 8 25 23 20 35 9



2000 1,480 24 7 16 30 92 29 17 2 2 42 34 6 12 68 68 37 45 23 26 7 14 32 49 25 23 43 11 17 8 12 19 18 59 47 10 84 43 19 84 6 15 11 25 87 6 8 28 24 22 35 9



2004 54,626 619 105 750 467 5,764 990 679 132 808 3,044 1,007 267 210 2,284 1,257 594 403 583 692 227 558 1,535 1,637 864 363 926 187 407 304 217 1,273 274 6,843 1,308 159 2,286 605 662 2,596 217 611 153 836 2,923 331 116 3,209 1,059 327 871 87



2000 55,773 658 107 778 472 6,175 1,267 727 140 865 3,067 1,047 221 211 2,342 1,313 621 442 612 726 232 612 1,631 1,723 848 385 937 184 437 296 234 1,367 285 6,393 1,334 167 2,399 639 681 2,742 221 625 156 856 2,926 330 122 2,721 1,107 363 944 87



2004 0.19 0.14 0.16 0.13 0.17 0.16 0.22 0.19 0.16 1.46 0.17 0.11 0.21 0.15 0.18 0.20 0.20 0.15 0.14 0.15 0.17 0.10 0.24 0.16 0.17 0.13 0.16 0.20 0.23 0.13 0.17 0.15 0.14 0.36 0.15 0.25 0.20 0.17 0.18 0.21 0.20 0.15 0.20 0.14 0.13 0.14 0.19 0.43 0.17 0.18 0.16 0.17



2000 0.20 0.15 0.17 0.15 0.18 0.18 0.29 0.21 0.18 1.51 0.19 0.13 0.18 0.16 0.19 0.22 0.21 0.16 0.15 0.16 0.18 0.12 0.26 0.17 0.17 0.14 0.17 0.20 0.26 0.15 0.19 0.16 0.16 0.34 0.17 0.26 0.21 0.19 0.20 0.22 0.21 0.16 0.21 0.15 0.14 0.15 0.20 0.38 0.19 0.20 0.18 0.18



3,138.0 31.2 6.9 47.9 20.2 482.5 81.0 39.1 7.1 23.8 168.2 118.5 10.7 9.8 120.7 40.9 33.5 42.0 28.8 29.2 11.6 50.6 86.6 68.0 60.2 14.5 64.2 7.8 21.5 14.8 12.5 98.6 14.6 270.6 71.5 7.7 92.9 31.1 33.0 112.4 10.9 26.2 6.8 49.5 225.8 30.2 6.4 100.4 92.4 11.9 49.9 4.3



3,188.0 31.8 6.9 49.5 20.3 476.2 84.6 39.6 7.4 24.5 171.3 123.4 10.4 9.2 127.5 41.3 33.6 44.4 29.7 29.0 11.4 51.1 91.3 70.3 61.9 15.1 66.4 7.7 21.5 15.5 12.2 102.0 15.8 276.2 74.7 7.7 96.5 32.4 33.6 120.4 11.0 27.1 6.8 51.2 233.9 30.0 6.5 101.4 92.3 12.5 50.3 4.2



3,631.0 35.6 7.5 54.3 20.5 575.4 108.4 46.4 8.1 25.3 187.9 143.5 12.2 9.7 147.6 45.9 40.3 47.3 33.1 29.8 12.1 58.5 111.1 76.7 69.2 17.3 76.3 7.9 26.9 19.2 13.9 126.9 16.7 319.1 81.8 8.4 107.2 35.6 39.5 135.7 10.9 30.5 6.9 54.7 272.2 35.4 6.8 118.9 97.6 14.1 53.6 3.9



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



D Figure withheld to avoid disclosure.

1 2 3



Covers Information (NAICS 51). For English-language newspapers only. Bureau of Labor Statistics. 4 Bureau of Economic Analysis. 5 Circulation figures based on the principal community served by a newspaper, which is not necessarily the same location as the publisher’s office. 6 Based on estimated resident population as of July 1, except 2000, enumerated as of April 1. 7 United States totals differ from the sum of the state figures because of differing benchmarks among states and differing industrial and geographic stratification. Survey, Census, or Data Collection Method: Employment—Based on the Current Employment Statistics (CES) survey; for information, see Appendix B, Limitations of the Data and Methodology, and see Internet site ; Earnings—Based on the Regional Economic Information System; for information, see ‘‘State Personal Income Methodologies’’ at ; Establishments—Based on tabulations of data extracted from the U.S. Census Bureau’s Business Register; for information, see Internet site ; Newspapers—For information, see Internet site . Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site ; Establishments—U.S. Census Bureau, County Business Patterns, annual, see Internet site ; Newspapers—Editor & Publisher Co., New York, NY, Editor & Publisher International Year Book, annual (copyright).



96



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-70. States — Financial Activities

Financial activities1 Nonfarm employment (BLS)4 (1,000) Geographic area Net change, 2000– 2002 49,542 472 78 1,213 553 7,790 1,797 183 183 −5 5,008 1,764 173 327 1,834 432 597 506 452 260 268 682 758 1,025 1,456 317 972 301 450 968 148 1,737 207 1,530 1,536 139 1,248 448 948 1,590 207 861 222 534 3,690 602 31 1,154 1,128 54 576 138 Earnings (BEA)5 (mil. dol.) FDIC-insured financial institutions Assets (bil. dol.) Total By asset-size of bank, 2004



Establishments



Number of institutions



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

9



2003

9



2000

9



2004 777,366 6,278 918 12,926 2,914 105,332 14,393 22,359 4,274 3,496 37,860 19,183 2,091 1,746 41,442 9,616 6,467 4,890 5,400 5,937 2,250 14,339 30,245 20,121 15,245 2,578 10,723 1,577 3,714 5,658 3,327 30,935 2,104 119,301 15,931 991 22,710 4,680 6,279 29,034 2,541 5,910 1,595 11,967 55,457 4,359 957 17,814 14,269 1,490 10,978 762



2003 707,611 5,850 853 11,776 2,680 94,705 13,438 20,110 3,888 3,085 34,715 17,598 1,900 1,587 38,222 8,965 5,928 4,603 4,950 5,494 2,119 13,261 26,454 18,695 14,492 2,408 10,168 1,413 3,433 5,058 3,068 28,602 1,972 105,583 14,499 918 20,856 4,273 6,004 26,621 2,342 5,491 1,462 10,910 50,782 4,038 896 16,401 12,703 1,418 10,222 696



2001 662,293 5,003 757 10,269 2,390 84,443 12,493 19,043 3,811 2,924 30,048 16,088 1,704 1,383 35,551 8,366 5,077 4,015 4,250 5,097 1,909 11,220 26,419 17,960 12,772 2,166 9,257 1,316 3,061 4,711 2,555 26,339 1,808 116,838 12,708 796 18,904 3,823 5,262 24,296 2,090 4,788 1,314 9,740 47,017 3,553 786 14,246 11,060 1,274 8,974 619



2002 773,446 9,970 1,494 14,741 6,574 88,897 17,861 9,106 2,975 1,852 53,764 23,001 3,355 4,003 34,883 15,423 8,579 8,448 9,399 11,592 3,366 13,264 15,696 22,466 15,377 6,742 16,022 3,251 5,702 7,422 3,267 22,462 4,815 58,476 21,023 2,211 28,016 9,404 11,047 27,588 2,431 10,582 2,713 14,225 55,543 7,461 1,680 18,324 18,022 3,625 13,565 1,741



2004 8,958 164 7 49 168 295 177 57 34 6 295 344 8 17 746 197 414 372 237 166 39 116 200 173 478 102 373 80 263 38 30 139 58 200 108 103 290 274 40 262 15 96 91 208 681 67 19 140 98 72 308 44



2000 9,888 170 8 49 194 351 191 69 38 7 311 361 10 20 828 219 456 393 267 182 41 137 229 190 514 109 401 89 291 34 35 153 64 230 118 113 339 294 48 303 13 108 101 221 759 61 23 162 102 77 355 50



2004 10,009.8 237.3 3.9 59.3 40.7 838.5 39.4 60.7 436.0 0.9 127.3 224.7 33.8 5.5 340.6 102.8 51.1 57.8 51.5 59.8 43.0 46.2 224.2 194.6 63.5 42.1 91.8 14.6 46.1 56.1 31.2 167.7 15.8 1,166.2 1,302.3 15.4 1,579.7 56.4 23.6 331.0 246.1 44.5 442.5 133.5 215.4 193.3 7.9 221.2 78.5 19.8 118.4 5.7



2000 7,462.9 183.7 6.5 62.7 28.9 673.5 47.4 49.6 164.4 1.0 82.6 175.3 30.9 3.1 394.8 101.5 49.0 49.3 55.7 56.1 15.1 55.2 173.7 170.0 190.0 35.1 71.6 12.5 45.2 38.7 31.6 143.1 18.6 1,436.6 988.0 18.5 435.5 49.8 19.5 265.3 184.0 31.7 38.3 92.0 233.4 104.5 8.6 91.2 72.1 18.3 97.9 7.9



Less than $1 bil. 1,409.6 25.5 1.7 7.3 28.3 56.1 27.9 15.1 5.2 0.9 58.5 59.2 1.1 5.5 116.3 38.9 44.8 34.9 33.0 25.0 11.5 24.0 52.5 30.7 47.0 15.7 50.2 10.5 21.3 5.4 7.8 32.2 9.2 44.5 26.7 9.8 44.5 28.2 7.1 60.7 2.6 16.2 12.8 36.0 88.9 10.2 3.7 31.4 21.6 9.9 45.9 5.7



$1 bil. to $10 bil. 1,287.6 6.0 2.1 7.6 12.4 145.6 11.5 18.1 35.6 – 68.8 34.7 22.2 – 69.0 35.4 6.3 22.9 18.5 12.6 2.8 22.2 39.0 21.8 4.0 15.5 28.8 4.2 13.4 32.3 10.1 58.3 6.6 101.1 9.5 5.6 39.4 16.6 16.5 73.5 13.2 28.2 8.7 6.4 80.6 13.6 4.2 17.9 30.1 10.0 24.3 –



Greater than $10 bil. 7,312.7 205.7 – 44.4 – 636.8 – 27.5 395.2 – – 130.8 10.6 – 155.3 28.5 – – – 22.3 28.7 – 132.7 142.2 12.4 10.8 12.8 – 11.5 18.3 13.4 77.2 – 1,020.5 1,266.1 – 1,495.8 11.6 – 196.9 230.2 – 421.0 91.1 45.9 169.5 – 172.0 26.8 – 48.2 –



8,052.0 96.5 14.6 163.8 51.0 902.8 155.1 140.7 44.7 30.5 501.0 218.3 28.7 27.9 399.6 140.2 96.7 70.0 87.2 102.8 34.9 155.6 219.9 217.6 175.8 45.9 163.4 21.1 63.0 61.5 37.6 277.8 34.6 701.5 192.2 18.6 312.4 84.4 96.6 336.3 34.2 93.0 27.9 141.9 594.5 64.8 13.3 189.0 151.8 30.5 157.6 10.5



7,977.0 96.3 14.4 160.0 50.4 885.6 154.1 142.7 45.3 30.8 485.6 216.4 28.4 27.0 401.8 141.3 95.2 69.5 86.6 101.5 35.1 156.1 223.7 218.3 175.6 45.9 162.8 20.3 62.4 58.5 37.0 276.2 33.9 696.5 190.4 18.4 311.8 83.2 97.1 337.9 33.7 91.5 27.7 139.8 585.9 64.7 13.2 186.4 151.9 30.8 156.9 10.2



7,687.0 98.9 13.9 150.9 49.3 795.1 147.0 143.0 39.0 33.2 463.0 209.4 29.4 25.2 404.1 144.7 89.6 65.6 83.8 99.8 34.0 146.9 228.0 209.4 164.8 45.9 158.3 18.5 60.5 52.5 34.1 266.8 33.4 746.9 178.9 16.8 305.2 81.7 94.7 338.1 31.1 87.4 26.2 139.2 567.9 59.0 13.0 178.8 142.3 31.2 149.1 9.1



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



97



Table A-70. States — Financial Activities—Con.

FDIC-insured financial institutions Credit unions Average insurance premium, 20022 (dol.) Life insurance, 2003 (mil. dol.) Automobile insurance— average expenditures per insured vehicle3 (dol.)



Geographic area



Number of offices



Deposits (bil. dol.)



Number



Assets (mil. dol.)



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,153 1,446 129 1,071 1,341 6,423 1,418 1,188 255 199 4,897 2,596 294 478 4,394 2,275 1,541 1,485 1,724 1,525 505 1,676 2,115 3,001 1,715 1,124 2,189 365 997 474 415 3,157 490 4,837 2,510 421 3,950 1,242 1,030 4,608 233 1,269 448 2,094 5,480 583 273 2,377 1,799 638 2,254 205



2000 84,867 1,429 134 938 1,247 6,195 1,265 1,183 242 203 4,661 2,329 305 448 3,978 2,245 1,486 1,398 1,617 1,476 512 1,711 1,972 2,967 1,577 1,102 2,096 344 945 413 414 3,010 499 4,558 2,448 410 3,887 1,141 985 4,530 220 1,245 427 1,976 4,801 576 267 2,451 1,691 621 2,116 176



2004 5,416.4 62.6 6.0 61.8 38.7 671.1 64.5 73.8 105.8 18.6 301.0 132.0 23.1 13.8 281.9 81.1 51.2 46.5 56.9 55.2 16.7 82.1 172.7 136.1 94.4 33.5 87.1 11.9 32.9 40.5 29.4 211.3 18.2 637.6 163.9 11.4 200.2 46.3 39.2 210.7 19.9 48.1 53.3 90.2 310.3 102.0 9.0 147.8 87.4 22.7 96.1 7.9



2000 3,970.0 52.7 4.6 43.2 32.7 453.8 48.8 58.3 61.6 11.9 207.9 96.5 18.2 10.6 239.1 70.5 43.1 38.5 48.3 46.4 13.6 64.1 133.9 117.2 70.6 28.8 75.4 9.3 27.6 18.4 25.2 156.3 14.1 444.0 112.9 10.2 164.1 37.3 29.7 177.0 14.5 38.2 12.9 72.2 217.4 38.2 7.8 87.9 60.2 20.5 75.4 8.1



2004 8,989 158 12 64 73 555 145 160 35 64 229 199 97 48 450 211 165 121 109 260 77 116 257 413 174 114 171 69 79 20 27 248 54 557 140 60 422 86 96 669 31 86 56 212 641 118 36 226 140 119 287 33



2000 10,291 186 13 68 82 632 175 195 41 75 250 224 102 50 548 236 193 134 128 284 82 128 285 465 189 131 188 76 86 23 32 284 56 643 171 65 509 94 114 776 39 99 61 249 714 137 44 256 167 132 343 37



2004 646,229 9,778 3,812 10,239 1,553 96,828 11,856 6,371 1,377 4,618 35,561 12,226 6,443 2,465 19,279 13,107 5,190 3,029 4,069 5,822 3,858 13,123 21,535 30,621 12,651 2,570 8,165 2,457 2,540 2,307 3,213 9,462 4,322 35,232 21,107 1,424 14,472 6,300 11,241 22,521 3,446 6,173 1,473 10,767 47,799 9,210 1,613 45,530 20,044 2,195 14,102 1,135



2000 437,649 6,990 2,594 6,608 1,188 64,356 8,393 4,817 985 3,341 22,032 8,822 4,104 1,540 14,237 9,659 3,731 2,245 3,176 4,290 2,756 8,608 14,643 22,317 8,599 1,770 6,045 1,614 1,855 1,897 2,275 6,384 2,947 22,780 12,774 1,053 10,865 4,604 7,246 15,876 2,274 4,482 1,008 7,791 32,585 5,940 1,016 25,668 14,639 1,665 9,796 769



Renters6 186 182 167 215 213 260 183 193 150 165 217 210 201 150 182 174 139 172 155 244 128 145 198 184 151 240 177 152 145 220 150 173 200 207 164 121 155 269 158 141 176 176 119 193 269 150 138 142 168 154 107 152



Homeowners7 593 533 668 543 616 660 660 652 390 697 786 517 565 382 516 508 450 684 480 840 416 477 611 577 590 668 550 547 596 531 482 538 490 661 527 528 410 800 398 477 606 604 469 536 1,238 416 493 476 501 447 340 551



Total payments 311,935 3,098 483 6,981 1,712 30,640 4,026 12,137 2,885 1,093 17,763 6,122 1,184 1,101 15,453 5,972 3,871 2,696 3,034 3,480 995 7,647 12,868 10,748 7,729 1,588 5,823 671 2,052 1,797 1,720 14,355 1,567 26,281 7,638 706 12,658 2,647 3,440 15,895 1,182 5,028 544 4,654 16,411 2,022 695 6,075 5,254 1,283 5,745 485



Death payments 51,757 848 73 765 426 4,877 725 838 251 122 3,342 1,731 186 190 2,551 1,187 611 520 653 888 178 1,033 1,291 1,937 804 491 1,091 124 344 312 203 1,986 248 3,557 1,677 95 2,276 575 502 2,464 238 816 126 1,161 3,449 347 97 1,394 839 309 930 78



Annuity payments8 64,985 537 89 1,149 308 6,109 1,030 5,515 360 319 3,720 1,046 283 209 3,294 1,079 772 578 561 585 203 1,164 2,326 2,162 884 218 1,184 144 654 337 291 2,646 598 6,320 1,197 108 2,573 589 859 3,577 291 436 21 821 3,111 417 148 1,120 1,344 288 1,275 138



2002 774 626 884 877 670 778 914 965 907 1,040 870 739 736 560 726 646 547 586 685 926 585 837 984 839 800 679 666 628 589 887 731 1,113 699 1,087 588 533 639 650 682 783 937 702 540 632 791 700 644 625 788 776 609 580



2000 687 594 770 792 606 667 755 871 849 996 746 674 702 505 652 570 479 540 616 806 528 757 946 702 696 654 612 530 533 829 665 977 674 939 564 477 579 603 625 699 825 620 482 592 678 620 568 576 722 680 545 496



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



– Represents zero.

1 Includes Finance and insurance (NAICS 52) and Real estate and rental and leasing (NAICS 53). 2Average premium equals premiums divided by exposure per house-years. A house-year is equal to 365 days of insured coverage for a single dwelling and is the standard measurement for homeowners insurance. 3Average expenditure equals total premiums written divided by liability caryears. A car-year is equal to 365 days of insured coverage for a single vehicle. The average expenditures for automobile insurance in a state are affected by a number of factors, including the underlying rate structure, the coverages purchased, the deductibles and limits selected, the types of vehicles insured, and the distribution of driver characteristics. 4Bureau of Labor Statistics. 5Bureau of Economic Analysis. 6Based on the HO-4 renters insurance policy for tenants. Includes broad named-peril coverage for the personal property of tenants. 7Based on the HO-3 homeowner package policy for owner-occupied dwellings, 1–4 family units. Provides ‘‘all risks’’ coverage (except those specifically excluded in the policy) on buildings, broad named-peril coverage on personal property, and is the most common package written. 8Excludes payments from deposit-type contracts. 9United States totals differ from the sum of the state figures because of differing benchmarks among states and differing industrial and geographic stratification.



Survey, Census, or Data Collection Method: Employment—Based on the Current Employment Statistics (CES) survey; for information, see Appendix B, Limitations of the Data and Methodology; Earnings—Based on the Regional Economic Information System; Establishments—Based on tabulations of data extracted from the U.S. Census Bureau’s Business Register; Credit unions—Natural Credit Union Administration Yearend Call Report; FDIC-Insured financial institutions number and assets—Based on Federal Financial Institution Examination Council (FFIEC) Call Reports and the Office of Thrift Supervision (OTS) Thrift Financial Reports; FDIC-insured financial institutions offices and deposits—Based on surveys of every FDIC-insured bank and savings association as of June 30 each year conducted by the Federal Deposit Insurance Corporation (FDIC) and the Office of Thrift Supervision (OTS); Insurance premiums—For information, see Internet site ; Life insurance—Based on American Council of Life Insurers (ACLI) tabulations of National Association of Insurance Commissioners (NAIC) statutory data; Automobile insurance—For information, see Internet site . Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site ; Establishments—U.S. Census Bureau, County Business Patterns, annual; Credit unions—National Credit Union Administration, Yearend Statistics for Federally Insured Credit Unions, annual, see Internet site ; FDIC-insured financial institutions number and assets—U.S. Federal Deposit Insurance Corporation, Statistics on Banking, annual; FDIC-insured financial institutions offices and deposits—U.S. Federal Deposit Insurance Corporation, Bank and Thrift Branch Office Data Book, annual; Insurance premiums—National Association of Insurance Commissioners (NAIC), Kansas City, MO, Dwelling Fire, Homeowners Owner-Occupied, and Homeowners Tenant and Condominium/Cooperative Unit Owners Insurance, annual (copyright). Reprinted with permission of the NAIC. Further reprint or distribution strictly prohibited without prior written permission of the NAIC; Life insurance—American Council of Life Insurers, Washington, DC, Life Insurers Fact Book, biennial (copyright); Automobile insurance—National Association of Insurance Commissioners (NAIC), Kansas City, MO, Auto Insurance Database Report, annual (copyright). Reprinted with permission of the NAIC. Further reprint or distribution strictly prohibited without prior written permission of the NAIC.



98



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-71. States — Professional and Business Services and Education and Health



Services

Professional and business services1 Nonfarm employment (BLS)3 (1,000) Geographic area Net change, 2000– 2002 43,679 448 61 1,419 248 5,311 1,625 226 423 9 6,230 1,331 248 449 603 589 278 195 256 692 242 1,325 307 878 652 295 661 381 200 948 131 834 156 2,027 1,438 90 782 441 531 1,433 189 555 130 220 3,645 1,072 86 1,797 731 9 715 137

5



Education and health services2 Establishments Nonfarm employment (BLS)3 (1,000) Earnings (BEA)4 (mil. dol.) Establishments Net change, 2000– 2002 50,668 677 154 1,372 474 7,094 932 494 172 151 4,084 1,581 248 388 1,672 1,055 210 550 921 672 426 908 851 1,131 1,312 477 937 218 374 624 79 1,542 306 3,516 1,855 69 1,256 626 717 1,140 204 756 126 660 3,468 543 151 1,124 1,138 266 847 120



Earnings (BEA)4 (mil. dol.)



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

5



2003

5



2000

5



2004



2003



2001



2002



2004 16,954 192 35 260 143 1,562 219 268 52 92 919 407 67 65 728 369 191 160 231 252 111 348 582 553 377 119 359 54 127 80 95 547 103 1,521 446 49 744 179 193 996 93 176 57 320 1,145 123 53 380 319 111 376 22

5



2003 16,588 187 33 247 140 1,536 213 264 50 89 888 395 65 62 718 360 190 157 228 245 107 340 576 543 369 116 353 53 123 76 93 538 99 1,495 429 48 730 176 189 979 91 177 56 313 1,120 119 52 370 313 109 365 21

5



2000 15,109 176 26 212 127 1,398 193 245 46 92 807 347 60 53 681 330 182 148 204 224 97 309 546 502 325 105 336 49 111 63 84 496 82 1,380 378 46 680 163 173 917 83 156 52 279 1,003 104 46 332 292 100 340 18



2004 810,790 9,160 1,888 13,006 5,809 89,365 11,201 14,864 2,640 4,990 43,676 19,734 3,397 2,770 35,209 15,764 7,516 6,568 9,845 10,441 4,517 17,459 31,036 25,626 17,160 5,245 15,615 2,309 4,846 4,503 4,590 28,452 3,837 74,775 19,373 1,950 32,420 7,223 9,492 46,183 4,199 7,343 2,449 17,946 52,236 4,882 2,219 17,058 16,043 4,489 16,496 978



2003 763,681 8,611 1,727 11,790 5,423 84,371 10,562 14,090 2,462 4,744 40,580 18,542 3,170 2,576 33,514 14,918 7,093 6,234 9,298 9,845 4,152 16,475 29,459 24,280 16,036 4,941 14,841 2,158 4,603 4,108 4,283 27,097 3,583 70,799 18,081 1,840 30,775 6,785 8,891 43,553 3,961 6,943 2,274 16,679 49,118 4,552 2,073 15,998 15,136 4,219 15,532 900



2001 664,794 7,661 1,389 9,693 4,741 71,717 9,232 12,480 2,117 4,158 35,343 16,199 2,814 2,226 29,901 13,230 6,361 5,602 8,118 8,639 3,618 14,278 25,717 21,485 13,605 4,277 13,272 1,854 3,973 3,457 3,634 23,708 2,928 61,788 15,908 1,614 27,384 5,996 7,721 38,304 3,396 6,133 1,903 14,192 42,191 3,943 1,763 13,886 13,336 3,766 13,387 754



2002 777,241 10,072 1,999 13,596 6,896 97,870 13,256 10,686 2,301 2,592 48,644 19,811 3,687 3,888 31,050 14,810 7,962 7,718 10,408 11,658 4,813 15,654 19,643 26,528 13,872 6,048 15,200 3,288 4,872 5,046 3,772 26,310 4,556 55,899 19,825 1,728 28,965 9,657 11,080 35,438 3,302 9,366 2,236 14,125 51,896 5,839 2,327 17,505 18,376 4,867 14,642 1,662



16,414 197 23 334 108 2,099 299 198 62 143 1,290 511 71 73 796 266 107 127 162 184 50 373 449 584 302 83 303 33 94 133 57 582 90 1,054 429 24 624 161 177 633 54 192 24 301 1,088 138 21 577 302 58 251 15



15,987 187 23 320 104 2,080 288 197 59 142 1,229 490 70 70 777 254 106 124 155 181 50 363 441 586 296 79 301 33 92 121 55 578 89 1,043 418 24 612 157 171 609 50 187 24 288 1,054 132 20 549 291 57 244 16



16,666 1,123,541 1,047,000 1,021,011 1,165,292 184 24 326 102 2,246 315 216 74 133 1,180 537 61 61 843 259 108 130 163 183 52 362 493 639 319 79 317 31 97 110 59 599 86 1,118 442 25 645 165 182 611 51 195 27 301 1,098 138 21 568 304 56 247 15 10,524 1,572 18,169 5,537 165,013 22,072 19,410 4,531 15,415 64,279 31,734 3,908 3,918 59,556 13,768 5,233 6,642 8,572 10,185 2,784 26,420 40,388 42,483 21,905 4,059 19,659 1,602 4,915 8,344 4,516 47,361 4,955 99,356 24,922 1,162 37,199 7,707 10,394 44,476 3,673 9,420 1,206 17,183 74,296 7,256 1,364 43,267 23,068 2,691 14,589 883 9,832 1,476 16,379 5,102 156,723 20,262 18,531 4,269 14,213 58,871 29,780 3,621 3,612 55,498 12,669 4,924 6,254 7,974 9,565 2,662 24,416 37,419 40,585 20,327 3,786 18,540 1,507 4,552 7,279 4,028 45,193 4,741 93,441 23,273 1,079 34,679 7,234 9,744 40,425 3,254 8,818 1,171 15,704 68,126 6,697 1,261 39,235 21,484 2,487 13,488 811 8,708 1,424 15,519 4,714 159,019 20,688 18,885 4,263 13,258 53,772 29,653 3,107 3,399 55,757 12,123 4,586 6,215 7,383 9,080 2,571 22,420 39,346 39,682 20,273 3,459 18,173 1,359 4,340 6,229 4,047 44,039 4,336 92,957 21,667 970 33,324 6,937 9,656 38,956 2,822 8,280 1,197 14,893 67,869 6,657 1,184 36,343 19,848 2,323 12,541 761 13,121 2,720 21,299 7,815 145,281 27,390 16,493 5,836 5,557 86,529 35,231 4,918 5,239 53,836 19,518 9,423 10,548 11,656 15,466 5,244 25,955 31,974 35,392 23,191 6,862 20,548 4,298 6,500 10,376 6,073 45,546 6,378 80,780 30,348 2,194 40,077 12,584 15,342 43,783 4,658 13,607 2,592 17,444 78,850 9,491 2,985 33,424 25,576 4,537 18,390 2,417



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1 2 3



. . . . . .



Professional, scientific, and technical services; management of companies and enterprises; administrative and support and waste management and remediation services. Education services; health care and social assistance. Bureau of Labor Statistics. 4 Bureau of Economic Analysis. 5 United States totals differ from the sum of the state figures because of differing benchmarks among states and differing industrial and geographic stratification. Survey, Census, or Data Collection Method: Employment—Based on the Current Employment Statistics (CES) survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Earnings—Based on the Regional Economic Information System; for information, see Internet site ; Establishments—Based on tabulations of data extracted from the U.S. Census Bureau’s Business Register; for information, see Internet site . Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site ; Establishments—U.S. Census Bureau, County Business Patterns, annual, see Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



99



Table A-72. States — Leisure and Hospitality Services

Arts, entertainment, and recreation services Nonfarm employment (BLS)1 (1,000) Geographic area Net change, 2000– 2002 6,559 –6 16 121 50 1,282 150 90 15 27 397 131 8 29 162 34 77 73 38 16 64 69 227 146 254 29 88 72 67 91 39 224 38 708 125 12 85 62 102 255 41 –117 36 83 394 68 41 127 182 13 196 28

3



Accommodation and food services Establishments Nonfarm employment (BLS)1 (1,000) Earnings (BEA)2 (mil. dol.) Establishments Net change, 2000– 2002 22,738 185 116 630 255 3,337 615 275 8 136 1,886 1,080 58 209 695 93 46 74 97 303 49 593 419 315 361 166 404 86 18 355 115 1,041 79 1,661 666 28 355 189 361 690 110 214 11 423 1,720 216 107 779 692 47 374 –4



Earnings (BEA)2 (mil. dol.)



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

3



2003

3



2000

3



2004 82,769 464 210 1,396 303 16,760 1,746 987 272 358 7,336 1,711 452 288 3,217 1,727 609 341 583 1,458 273 1,305 2,117 2,356 1,344 442 1,813 224 264 1,214 385 2,259 351 8,418 1,727 77 2,295 364 716 2,810 267 734 216 1,542 3,846 489 135 1,338 1,672 343 1,055 156



2003 77,378 431 198 1,309 286 15,295 1,728 902 263 359 6,721 1,668 420 259 3,027 1,645 570 314 546 1,369 263 1,218 1,982 2,218 1,298 409 1,736 212 254 1,140 359 2,108 332 7,768 1,610 73 2,259 333 682 2,654 258 693 202 1,450 3,708 457 123 1,282 1,493 315 1,032 145



2001 69,495 385 163 1,244 249 12,917 1,703 866 220 359 6,299 1,565 367 244 2,775 1,549 534 293 467 1,254 228 1,133 1,715 2,024 1,114 596 1,544 174 232 1,027 306 1,850 265 7,012 1,493 59 2,182 302 642 2,330 220 630 172 1,182 3,232 453 105 1,127 1,380 241 944 132



2002 110,375 1,020 471 1,542 832 16,295 2,137 1,588 347 268 6,259 2,338 490 623 4,144 1,987 1,368 1,054 1,239 1,307 839 1,935 2,854 3,492 2,553 632 2,029 896 793 1,084 677 3,188 611 9,887 2,988 385 3,862 1,026 1,444 4,286 493 1,441 573 2,111 5,502 708 448 2,434 2,489 560 2,458 388



2004 10,646 144 26 211 82 1,204 209 103 31 45 691 321 92 48 426 230 107 98 142 166 52 189 245 341 200 112 224 45 67 284 52 277 75 530 300 27 427 115 135 397 43 176 35 225 783 86 29 276 210 58 216 29

3



2003 10,360 140 26 204 79 1,168 205 101 30 44 655 312 89 47 416 226 105 96 138 162 51 185 242 336 195 110 218 43 67 275 50 274 74 521 291 27 420 113 132 394 42 168 34 219 763 84 29 266 206 57 211 28

3



2000 10,074 134 24 201 77 1,117 204 98 28 43 620 295 89 46 410 223 106 95 134 158 49 175 235 336 189 102 212 42 67 278 48 261 70 516 277 26 413 113 128 378 40 161 33 207 728 81 30 256 206 54 204 27



2004 207,807 2,126 644 4,170 1,168 27,110 4,077 2,343 609 1,482 14,307 5,864 2,825 698 8,119 3,436 1,462 1,544 2,335 2,829 929 4,152 5,504 5,400 3,260 2,053 3,655 653 926 9,722 1,049 6,900 1,251 13,168 4,993 372 6,481 1,684 2,449 6,965 808 2,959 501 4,255 14,837 1,370 615 5,065 4,239 892 3,067 483



2003 195,271 2,044 605 3,865 1,096 25,077 3,863 2,208 562 1,357 13,073 5,513 2,534 656 7,627 3,262 1,386 1,455 2,211 2,683 873 3,972 5,218 5,203 3,108 1,984 3,485 619 907 9,095 983 6,543 1,185 12,336 4,659 355 6,226 1,623 2,316 6,644 766 2,770 475 4,039 14,035 1,295 580 4,680 4,000 857 2,916 445



2001 179,657 (D) 525 3,552 1,004 22,766 3,638 1,989 515 (D) 11,820 5,104 2,288 604 7,210 3,083 1,307 1,378 2,024 2,426 790 3,610 4,879 4,858 2,874 1,691 3,207 565 838 8,553 895 5,972 1,058 11,439 4,277 325 5,864 1,531 2,120 6,129 679 2,496 422 3,650 13,079 1,200 536 4,248 3,707 775 2,660 377



2002 565,149 7,070 1,882 9,913 4,676 66,543 10,810 7,032 1,568 1,780 30,203 15,512 3,079 3,081 24,118 11,791 6,573 5,610 6,689 7,566 3,700 9,442 14,999 18,925 10,265 4,327 11,303 3,230 3,982 4,262 3,142 17,484 3,756 39,324 15,731 1,758 22,763 6,518 8,785 24,729 2,707 8,202 2,200 10,053 36,710 4,100 1,956 13,310 13,743 3,285 13,229 1,733



1,833 16 4 30 9 239 42 25 9 6 163 37 12 8 81 45 (NA) 13 18 38 8 36 46 62 36 13 44 10 11 29 12 50 8 132 45 4 68 14 21 78 7 25 6 29 100 16 4 44 44 10 34 3



1,813 15 4 29 9 232 41 24 9 6 158 37 11 8 81 45 (NA) 13 18 37 8 34 46 62 36 13 43 9 11 28 11 48 8 126 45 3 68 13 20 76 7 25 6 28 97 16 4 42 43 10 34 3



1,788 15 4 28 9 216 43 23 7 5 160 37 11 7 76 43 (NA) 14 18 38 7 32 40 64 33 21 42 8 10 27 10 43 7 122 44 3 70 14 26 71 7 26 6 26 91 16 3 (NA) 45 8 33 3



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



D Figure withheld to avoid disclosure.

1 2 3



NA Not available.



Bureau of Labor Statistics. Bureau of Economic Analysis. United States totals differ from the sum of the state figures because of differing benchmarks among states and differing industrial and geographic stratification.



Survey, Census, or Data Collection Method: Employment—Based on the Current Employment Statistics (CES) survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Earnings—Based on the Regional Economic Information System; for information, see Internet site ; Establishments—Based on tabulations of data extracted from the U.S. Census Bureau’s Business Register; for information, see Internet site . Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site ; Establishments—U.S. Census Bureau, County Business Patterns, annual, see Internet site .



100



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-73. States — Travel and Tourism Indicators

Domestic travel expenditures1 (mil. dol.) Geographic area Impact of international travel on state economy Overseas visitors to the state2 (1,000) Visitors to — (1,000)



Travel expenditures (mil. dol.) 2003 2002 473,601 5,294 1,341 8,502 3,886 58,017 8,896 6,437 1,113 4,098 40,648 14,124 6,939 2,120 20,706 6,504 4,464 3,694 5,248 8,820 1,904 8,693 9,817 11,612 7,664 5,291 9,341 1,961 2,699 18,272 2,585 14,357 3,991 26,856 12,458 1,166 12,198 4,145 5,380 14,695 1,365 6,976 1,483 10,298 31,159 3,782 1,339 13,333 7,648 1,766 6,913 1,604 2001 479,016 5,348 1,343 8,686 3,921 60,560 9,121 6,602 1,067 4,129 40,525 14,349 7,073 2,164 20,949 6,456 4,415 3,637 5,116 8,701 1,920 8,683 10,074 11,785 7,702 5,174 9,313 1,964 2,692 18,760 2,606 14,732 3,949 27,072 12,375 1,167 12,490 4,206 5,451 14,714 1,414 6,845 1,463 10,126 31,922 3,788 1,351 13,138 7,891 1,707 6,841 1,538 2003 64,509.0 (NA) (NA) 1,384.0 (NA) 10,485.1 616.4 202.4 (NA) 1,400.9 13,372.4 1,124.5 5,416.0 (NA) 1,368.4 209.1 (NA) (NA) (NA) 363.6 (NA) 319.0 1,246.6 582.0 329.7 (NA) 121.4 (NA) (NA) 2,021.1 120.7 688.5 (NA) 7,708.0 417.8 (NA) 556.0 (NA) 303.0 1,181.6 (NA) 514.2 (NA) 270.0 3,118.7 318.3 (NA) 413.7 779.0 (NA) 229.2 (NA) 2001 71,893.0 (NA) (NA) 1,469.7 (NA) 11,957.3 707.5 216.6 (NA) 1,487.8 15,642.0 1,234.7 5,878.8 (NA) 1,507.5 169.2 (NA) (NA) (NA) 565.7 (NA) 386.4 1,808.9 638.2 489.6 (NA) 162.5 (NA) (NA) 2,022.6 109.3 813.1 (NA) 8,376.1 451.6 (NA) 649.7 (NA) 310.1 1,300.9 (NA) 582.6 (NA) 381.1 3,184.8 305.4 (NA) 480.9 841.5 (NA) 257.8 (NA)



Travel-generated employment (1,000) 2003 814.5 (NA) (NA) 20.9 (NA) 130.2 9.8 1.8 (NA) 12.7 187.8 16.3 62.3 (NA) 18.2 3.2 (NA) (NA) (NA) 4.6 (NA) 4.4 14.3 7.5 5.7 (NA) 2.0 (NA) (NA) 34.8 1.2 9.2 (NA) 89.4 6.8 (NA) 7.2 (NA) 4.3 16.5 (NA) 7.8 (NA) 3.9 47.8 7.2 (NA) 6.2 10.2 (NA) 4.0 (NA) 2001 944.5 (NA) (NA) 23.4 (NA) 152.2 11.6 2.0 (NA) 14.1 227.7 18.7 70.6 (NA) 21.4 2.7 (NA) (NA) (NA) 7.4 (NA) 5.5 20.0 8.9 9.3 (NA) 2.7 (NA) (NA) 36.5 1.1 11.3 (NA) 102.0 7.6 (NA) 8.6 (NA) 4.6 19.5 (NA) 9.0 (NA) 5.8 51.2 7.1 (NA) 7.5 11.8 (NA) 4.6 (NA)



Travel-generated tax receipts (mil. dol.) 2003 10,291.6 (NA) (NA) 221.1 (NA) 1,770.0 135.1 32.5 (NA) 207.2 2,076.5 257.3 783.8 (NA) 282.5 33.1 (NA) (NA) (NA) 49.5 (NA) 64.9 222.3 106.9 101.1 (NA) 23.3 (NA) (NA) 291.4 11.6 127.0 (NA) 1,582.5 73.3 (NA) 96.9 (NA) 45.9 204.6 (NA) 76.4 (NA) 58.8 573.5 66.0 (NA) 66.4 138.6 (NA) 39.6 (NA) 2001 11,879.4 (NA) (NA) 240.1 (NA) 2,055.5 161.8 35.4 (NA) 224.2 2,502.5 296.2 877.1 (NA) 321.8 28.2 (NA) (NA) (NA) 77.8 (NA) 79.2 307.2 120.3 164.8 (NA) 31.4 (NA) (NA) 301.2 10.9 152.5 (NA) 1,780.5 81.8 (NA) 114.1 (NA) 49.0 244.0 (NA) 89.2 (NA) 84.3 606.9 62.4 (NA) 80.2 154.0 (NA) 46.8 (NA) 2003 18,026 72 (4) 487 (4) 3,984 288 252 (4) (4) 4,200 451 1,947 (4) 829 144 (4) (4) 72 216 (4) 198 829 361 90 (4) 90 (4) (4) 1,370 90 685 90 4,200 252 (4) 324 (4) 162 613 72 144 (4) 162 829 252 (4) 234 342 (4) 108 (4) 2000 25,975 78 52 883 (4) 6,364 519 260 (4) (4) 6,026 805 2,727 (4) 1,377 156 (4) (4) 78 390 104 312 1,429 494 364 (4) 156 (4) (4) 2,364 130 909 104 5,922 416 (4) 390 (4) 234 649 (4) 156 (4) 286 1,169 416 (4) 364 468 (4) 208 (4)



National parks



State parks3



2003 263,924 752 2,190 10,556 2,402 34,177 5,596 15 (X) 22,027 9,633 6,231 4,749 474 383 2,205 263 133 3,377 684 2,431 3,443 9,073 1,554 521 6,867 4,292 3,825 172 6,024 31 5,637 1,825 14,791 20,380 551 3,229 1,708 938 7,830 54 1,501 4,089 7,933 4,941 7,780 33 21,905 7,123 1,743 311 5,542



2000 283,846 608 2,026 11,526 2,244 34,411 5,807 16 (X) 28,802 8,915 6,023 5,185 437 368 2,109 270 116 3,852 895 2,469 3,180 10,251 1,639 598 7,006 5,339 3,696 181 6,647 37 5,542 1,766 18,533 21,068 484 3,586 1,808 831 8,326 56 938 3,772 8,349 5,878 8,844 46 24,029 7,276 1,942 367 5,754



2003 734,990 4,871 4,301 2,201 9,970 85,779 11,378 7,033 5,549 (X) 18,241 12,405 4,499 2,438 37,137 14,798 14,534 8,250 7,668 2,064 2,542 10,219 10,512 22,430 7,782 3,051 17,016 1,575 9,726 3,288 5,472 14,943 3,983 57,001 13,213 1,134 57,238 14,247 39,244 36,031 6,572 7,544 9,081 27,020 17,620 5,806 674 5,623 44,991 8,343 15,739 2,214



2000 786,610 5,878 3,888 2,371 6,643 98,520 10,284 7,567 3,910 (X) 16,672 16,124 18,171 2,573 44,484 18,475 15,152 7,202 7,792 1,715 2,265 10,004 12,775 27,534 8,496 4,198 18,174 1,367 9,619 3,451 5,127 15,073 4,639 59,126 12,400 1,111 55,340 16,148 38,563 36,717 6,231 9,247 7,038 30,182 18,751 6,737 719 5,717 46,444 7,990 15,470 2,538



United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



490,870 5,549 1,380 9,153 3,973 61,075 9,193 6,709 1,135 4,280 42,893 14,524 7,487 2,206 21,595 6,689 4,629 3,846 5,433 9,055 1,988 9,012 9,952 11,990 7,952 5,432 9,177 2,059 2,773 19,319 2,688 14,728 4,076 27,726 12,632 1,237 12,419 4,208 5,557 15,237 1,427 7,215 1,521 10,580 31,471 3,725 1,372 13,890 8,040 1,798 7,157 1,708



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



NA Not available.

1



X Not applicable.



Represents U.S. spending on domestic overnight trips and day trips of 50 miles or more, one way, away from home. Excludes spending by foreign visitors and by U.S. residents in U.S. territories and abroad. Includes travelers’ expenditures in Indian casino gaming. 2 Includes travelers for business and pleasure, international travelers in transit from the United States, and students; excludes travel by international personnel and international businessmen employed in the United States. Excludes Canada and Mexico. 3 For year ending June 30. Data are shown as reported by state park directors. In some states, park agency has under its control forests, fish and wildlife areas, and/or other areas. In other states, agency is responsible for state parks only. Includes overnight visitors. 4 Data not shown due to low sampling size of overseas visitors. For more information, please contact the Office of Travel and Tourism Industries. Survey, Census, or Data Collection Method: Domestic travel and impact of international travel—For information, see Internet site ; state—Based on the Survey of International Air Travelers (In-Flight Survey) Program and the Visitors Arrival Program (I-94 Form); for information, see Internet site ; National parks—Based on the National Park Service Social Science Program; for information, see Internet site ; State parks—For information, see Internet site . Overseas visitors to the



Sources: Domestic travel and impact of international travel—Travel Industry Association of America, Washington, DC, Impact of Travel on State Economies, annual (copyright), see Internet site ; Overseas visitors to the state—International Trade Administration, U.S. Department of Commerce, ‘‘Overseas Visitors to Select U.S. States and Territories 2003–2004’’ and previous years, Internet site ; National parks—National Park Service, Public Use Statistics Office, National Park Service Statistical Abstract, annual, see also Internet site ; State parks—National Association of State Park Directors, Annual Information Exchange, see Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



101



Table A-74. States — Government

Nonfarm employment (BLS)1 (1,000) Geographic area Earnings (BEA)2 (mil. dol.) Federal tax collections3 (mil. dol.)



State tax collections (mil. dol.)



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

4



2003

4



2000

4



2004 1,210,977 18,184 5,852 20,800 9,213 152,099 20,657 14,763 3,517 24,414 60,389 35,786 9,922 5,257 46,431 19,286 10,972 11,863 15,592 17,792 5,322 33,523 24,302 33,667 19,921 11,596 20,726 4,091 7,591 8,909 4,094 38,389 10,548 85,597 36,755 3,370 40,566 15,359 14,079 39,843 4,459 17,192 3,295 19,385 83,934 9,774 2,602 48,270 31,444 7,005 19,633 2,946



2003 1,163,988 17,701 5,595 19,475 8,630 147,897 19,791 14,155 3,345 23,713 56,544 34,360 9,317 4,948 45,135 18,502 10,532 11,212 15,064 16,897 5,094 32,992 23,682 33,099 19,137 10,984 20,167 3,903 7,233 8,141 3,938 36,344 10,000 82,207 34,551 3,201 39,547 14,673 13,470 38,990 4,329 16,401 3,115 18,513 81,112 9,440 2,410 46,001 30,060 6,779 18,881 2,780



2001 1,048,681 15,838 4,938 16,941 7,652 133,820 17,512 13,233 2,864 21,015 50,183 30,184 8,086 4,410 42,112 17,041 9,670 10,136 13,658 14,798 4,478 29,615 22,175 30,723 17,359 9,664 18,454 3,420 6,390 7,014 3,389 32,595 8,735 76,268 30,617 2,747 35,814 13,429 12,651 35,374 3,954 14,904 2,780 16,587 71,197 8,391 2,076 41,514 26,596 6,110 17,171 2,397



2004 2,002,296 18,489 3,267 25,345 20,576 237,931 34,661 41,909 11,151 16,931 94,278 59,084 8,395 6,480 108,477 32,192 14,543 15,897 17,515 20,341 5,487 40,893 59,060 63,745 58,068 8,951 38,326 3,134 14,393 13,294 7,183 91,082 6,050 171,949 53,979 2,825 87,854 20,419 18,880 87,841 8,545 15,357 3,294 36,802 152,691 9,594 3,079 47,017 42,168 5,226 34,711 2,934



2003 1,930,649 17,907 3,249 23,231 19,849 227,611 33,739 38,746 10,481 19,413 91,247 56,847 5,262 6,757 105,855 33,066 14,559 15,516 16,812 19,878 5,194 38,251 56,054 64,764 57,906 9,014 38,120 3,096 13,867 13,170 7,366 86,514 6,271 168,462 48,365 2,721 85,242 19,635 17,540 81,812 8,664 14,999 3,375 35,251 141,935 9,306 3,035 47,095 41,906 4,830 34,153 2,712



2000 2,076,044 18,869 2,977 25,173 17,743 258,601 37,371 40,344 11,841 (5) 97,339 61,040 6,237 7,330 115,149 33,891 14,646 17,815 17,899 16,200 5,570 57,985 64,307 75,674 55,241 9,759 40,653 3,675 12,662 11,892 7,942 95,860 6,197 191,362 44,947 2,873 88,641 19,113 20,068 88,350 8,258 16,455 4,111 36,710 152,583 10,023 3,467 50,091 47,845 5,016 35,890 2,357



2004 593,489 7,018 1,288 9,606 5,581 85,721 7,051 10,291 2,375 (NA) 30,768 14,571 3,849 2,648 25,491 11,957 5,133 5,284 8,463 8,026 2,897 12,315 16,699 24,061 14,735 5,125 9,120 1,626 3,640 4,739 2,005 20,981 4,002 45,834 16,576 1,229 22,476 6,427 6,103 25,347 2,409 6,804 1,063 9,536 30,752 4,189 1,767 14,233 13,895 3,749 12,531 1,505



2003 548,991 6,416 1,120 8,692 5,146 79,198 6,636 9,509 2,116 (NA) 26,993 13,412 3,570 2,344 22,212 11,216 4,922 5,008 8,319 7,450 2,697 10,980 15,608 22,748 13,981 4,999 8,627 1,487 3,348 4,129 1,959 19,936 3,607 42,253 15,849 1,178 20,652 5,906 5,702 23,187 2,257 6,353 1,013 8,812 29,099 3,955 1,559 12,969 12,960 3,594 12,090 1,217



2000 539,655 6,438 1,423 8,101 4,871 83,808 7,075 10,171 2,132 (NA) 24,817 13,511 3,335 2,377 22,789 10,104 5,185 4,848 7,695 6,512 2,661 10,354 16,153 22,756 13,339 4,712 8,572 1,411 2,981 3,717 1,696 18,148 3,743 41,736 15,315 1,172 19,676 5,840 5,946 22,467 2,035 6,381 927 7,740 27,424 3,979 1,483 12,648 12,567 3,343 12,575 964



21,618.0 359.9 81.2 400.7 200.7 2,390.3 359.2 242.4 58.1 230.6 1,069.0 638.4 120.1 114.2 843.9 426.1 244.3 252.0 309.4 382.5 104.9 465.7 407.6 682.1 411.1 242.5 429.3 87.0 160.1 138.5 89.7 634.1 198.3 1,483.3 650.7 74.6 801.8 301.6 269.5 745.1 65.8 327.5 74.3 414.0 1,655.6 198.7 52.4 651.5 523.3 143.1 412.1 64.6



21,583.0 358.4 81.6 393.5 198.5 2,425.5 356.2 246.0 57.2 230.6 1,053.0 632.4 119.1 113.0 853.2 422.6 244.8 250.4 312.5 379.3 103.7 467.1 412.6 685.4 412.5 240.8 432.2 85.8 159.8 134.9 90.1 621.9 195.1 1,487.8 641.4 75.3 802.6 295.8 267.7 745.6 66.2 326.1 74.3 411.1 1,646.1 196.6 52.0 637.5 520.6 142.5 412.9 63.5



20,790.0 351.7 74.4 366.6 190.7 2,318.1 337.0 241.8 56.6 223.9 1,001.7 597.2 114.6 108.8 839.6 410.3 243.3 244.9 305.1 373.4 99.5 452.5 423.9 681.6 407.6 233.8 426.2 80.3 154.4 121.7 83.5 588.8 183.0 1,467.7 622.2 73.0 785.0 287.7 267.3 725.1 64.3 322.8 70.3 399.0 1,561.9 185.4 49.4 624.7 483.3 143.1 405.6 60.7



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



NA Not available.

1 2 3



Bureau of Labor Statistics. Bureau of Economic Analysis. Excludes excise taxes collected by the Customs Service and the Alcohol and Tobacco Tax and Trade Bureau. 4 United States totals differ from the sum of the state figures because of differing benchmarks among states and differing industrial and geographic stratification. 5 Data for the District of Columbia included with Maryland. Survey, Census, or Data Collection Method: Employment—Based on the Current Employment Statistics (CES) survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Earnings—Based on the Regional Economic Information System; for information, see Internet site ; Federal tax collections—Based on the IRS’s Statistics of Income (SOI) program; for information, see Internet site ; State tax collections—Based on surveys to appropriate state government offices directly involved with state-administered taxes; for information, see Internet site . Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site ; Federal tax collections—Internal Revenue Service, Data Book 2004, Publication 55B, Washington, DC, and previous years, see Internet site ; State tax collections—U.S. Census Bureau, State Government Tax Collections (STC) report, see Internet site .



102



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Table A-75. States — State Government Employment and Finances

Employment (full-time equivalent) Finances Revenue (mil. dol.) Total General, 2002 Intergovernmental from federal government 317,581 5,795 1,551 4,875 3,410 40,843 3,806 3,686 891 (X) 12,786 8,541 1,365 1,324 10,449 5,886 3,320 2,964 5,102 5,994 1,817 5,260 5,061 11,241 5,282 4,374 6,693 1,419 1,780 1,281 1,189 8,235 2,760 32,197 9,466 1,022 12,328 4,044 5,625 13,685 1,637 5,028 1,045 7,078 20,672 2,267 1,041 5,377 6,216 2,847 5,913 1,113



Geographic area



Number (1,000)



Per 10,000 population1



2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,191 86 25 65 54 389 67 60 24 (X) 187 121 57 23 134 91 53 44 79 90 22 92 91 137 75 56 91 19 34 25 20 147 46 248 131 18 137 66 57 159 20 77 13 83 266 48 14 116 113 37 71 12



2000 4,083 80 23 65 49 355 66 66 24 (X) 185 120 55 23 128 83 55 43 74 95 21 91 96 142 73 56 91 18 30 22 19 133 48 251 123 16 136 64 53 150 20 79 13 81 269 49 14 119 112 32 64 11



2003 144 190 383 117 198 110 148 172 299 (X) 110 140 460 171 106 146 179 161 191 201 167 166 142 136 149 195 159 204 193 110 158 170 247 129 156 284 120 187 160 129 187 186 171 143 120 203 219 157 184 205 130 241



2000 145 179 365 126 183 105 153 193 303 (X) 116 147 453 175 103 136 189 158 183 212 161 173 151 143 149 195 163 199 174 112 152 158 263 132 153 246 120 187 156 122 187 196 177 143 129 221 224 168 191 177 119 227



2002 1,097,829 14,942 5,019 17,298 10,297 151,245 11,809 16,993 4,842 (X) 47,890 24,847 5,869 4,488 41,095 20,116 11,130 9,694 16,073 18,079 5,451 20,788 26,885 43,950 22,439 11,052 19,085 4,033 6,002 6,888 4,636 32,709 8,746 104,534 31,524 3,017 45,439 13,134 14,815 46,165 4,891 16,997 2,491 17,952 60,588 8,468 3,260 23,577 23,813 9,130 20,874 2,770



2000 1,260,829 16,857 8,584 16,315 10,789 172,481 17,060 18,007 5,162 (X) 51,621 29,630 6,941 5,576 48,524 20,456 11,340 10,394 19,451 18,788 6,294 21,366 32,011 49,511 26,889 12,181 20,309 4,204 6,185 7,285 4,993 42,340 10,570 111,397 34,361 3,295 55,274 13,116 21,011 54,517 5,589 15,966 2,901 18,970 72,323 10,227 3,292 29,409 30,616 8,591 32,119 5,740



Total2 1,062,305 15,986 5,423 15,860 10,533 141,481 13,875 15,382 4,633 (X) 46,995 26,114 6,042 4,375 40,340 20,011 11,026 9,179 15,810 17,659 5,600 19,909 26,476 40,886 21,910 11,044 18,654 3,721 5,987 6,167 4,391 33,897 8,478 92,897 29,972 2,868 40,232 12,761 14,305 46,544 4,836 14,477 2,604 17,620 62,181 8,623 3,229 24,843 22,775 8,053 22,874 2,768



Taxes 535,241 6,510 1,090 8,477 5,226 77,755 6,923 9,033 2,174 (X) 25,352 13,772 3,421 2,271 22,475 10,201 5,006 4,808 7,975 7,357 2,627 10,821 14,823 21,864 13,224 4,729 8,729 1,443 2,993 3,945 1,897 18,329 3,628 43,262 15,537 1,117 20,130 6,053 5,164 22,136 2,128 6,088 977 7,798 28,662 3,925 1,518 12,781 12,629 3,552 11,814 1,094



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



103



Table A-75. States — State Government Employment and Finances—Con.

Finances Expenditures (mil. dol.) Geographic area Total General, 2002 Direct 2002 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,280,290 17,996 7,402 18,119 11,521 184,928 16,823 20,117 4,646 (X) 51,834 30,053 7,446 5,234 49,131 22,205 12,721 10,592 18,407 18,319 6,265 23,317 32,848 49,184 26,693 12,742 20,841 4,265 6,537 7,348 4,823 41,988 10,084 119,199 33,124 3,020 52,594 14,727 18,029 55,171 5,767 20,009 2,772 20,029 70,274 10,107 3,512 28,044 30,378 9,409 26,749 2,948 2000 1,084,548 15,873 6,611 16,574 9,589 149,772 13,930 16,723 4,211 (X) 45,208 24,813 6,605 4,493 41,183 20,289 11453 9,124 15,682 16,554 5,448 19,370 29,478 42,749 23,326 10972 17,293 3,718 5,772 6,047 4,366 34783 8,701 96,925 29,615 2,856 44,631 10,630 15,776 47,682 4,648 16,237 2,403 16,853 60,425 8,592 3,219 24,314 25,902 7,552 23,027 2,553 Total2 1,109,227 16,160 6,702 16,246 10,634 158,235 14,662 17,536 4,233 (X) 47,287 27,166 6,684 4,625 42,678 20,585 11,436 9,617 16,376 16,162 5,670 20,704 28,471 43,827 23,478 11,462 18,708 3,785 6,219 6,242 4,177 32,936 9,214 96,529 29,537 2,813 42,362 12,904 14,884 47,147 4,843 17,048 2,554 18,489 61,771 9,143 3,291 25,546 25,160 7,560 23,119 2,609 Intergovernmental 364,789 4,096 1,056 6,969 3,071 74,687 4,295 3,735 823 (X) 14,054 8,645 130 1,407 13,091 6,557 3,326 2,971 3,560 4,168 1,010 5,236 6,284 19,067 8,271 3,457 5,073 911 1,820 2,433 1,179 9,320 2,768 38,982 9,451 586 15,052 3,377 4,213 12,788 749 4,241 506 4,478 16,681 2,171 919 8,369 6,806 1,454 9,523 975 Education 162,054 3,231 882 2,212 1,832 17,289 3,009 2,218 733 (X) 5,105 5,011 2,257 704 6,128 4,146 2,140 1,578 2,981 2,771 699 3,414 3,188 6,590 3,496 1,698 2,556 637 1,116 904 630 4,558 1,468 7,619 4,602 563 6,515 2,520 2,040 7,304 672 2,763 377 3,315 11,558 2,351 524 4,657 4,825 1,181 3,197 287 Public welfare 239,903 4,110 1,029 2,780 2,578 23,014 2,283 3,362 659 (X) 11,874 6,013 1,112 1,003 9,429 4,805 2,573 1,963 4,762 3,311 1,762 4,625 5,665 9,069 6,071 3,214 5,377 643 1,647 1,004 879 5,663 2,028 23,328 6,522 626 9,723 3,156 3,796 12,160 1,659 4,360 593 6,319 14,607 1,573 756 3,622 6,151 2,136 4,136 372 Highways 71,248 1,064 667 1,127 942 5,696 1,134 817 332 (X) 4,707 1,990 236 383 2,983 1,255 939 967 1,614 951 439 1,196 2,628 1,250 1,080 776 1,609 436 526 568 347 1,977 925 3,222 2,574 311 2,255 1,010 587 4,066 260 1,276 390 1,206 5,111 728 239 2,587 1,254 986 1,272 354



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



X Not applicable.

1 2



Based on resident population enumerated as of April 1 for 2000 and July 1 for all other years. Includes categories not shown separately.



Survey, Census, or Data Collection Method: Employment—Based on the Annual Survey of Government Employment; for information, see Internet site ; Finances—Annual Survey of Government Finances; for information, see Internet site . Sources: Employment—U.S. Census Bureau, State Government Employment and Payroll Data, March 2004 (accessed 10 June 2005), see Internet site ; Finances—U.S. Census Bureau, ‘‘State Government Finances’’ (accessed 8 April 2005), see Internet site .



104



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U.S. Census Bureau



Table A-76. States — State Resources, Expenditures, and Balances

Expenditures by fund source (mil. dol.) State general fund (mil. dol.)



Geographic area



20041



Resources2, 3



Expenditures3



Balance4



Total5 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,187,444 19,922 7,578 20,764 14,577 165,850 13,372 21,948 6,145 (NA) 53,950 28,670 7,599 4,901 41,290 20,259 13,641 10,209 19,534 19,465 6,116 24,106 27,372 39,424 23,539 12,052 18,665 3,977 7,649 6,271 4,095 37,451 11,779 97,327 29,319 2,646 48,775 13,986 19,685 48,752 6,146 15,425 2,815 21,781 59,269 7,930 2,896 27,989 26,055 16,208 23,841 4,429



General fund 516,095 5,523 2,331 6,474 3,526 78,028 5,580 12,530 2,545 (NA) 21,615 15,446 3,823 1,994 19,027 11,323 4,489 4,332 7,236 6,536 2,556 10,275 20,287 8,813 13,387 3,477 6,786 1,333 2,674 2,260 1,313 23,855 4,502 42,065 14,700 884 24,076 4,287 5,720 21,462 2,796 4,954 904 8,656 29,434 3,582 901 11,299 11,381 2,959 10,852 1,307



Federal fund 358,417 7,880 2,792 6,454 5,070 57,972 3,201 4,321 990 (NA) 15,985 11,824 1,467 1,860 10,403 6,239 3,805 2,719 6,683 6,371 2,233 5,852 4,876 11,806 5,700 4,756 6,462 1,559 2,380 1,663 1,240 8,702 3,807 35,995 8,466 1,018 8,216 4,711 3,564 16,740 1,927 5,543 1,222 8,706 19,814 2,065 991 5,756 5,800 3,454 6,416 941



Total, 2003 1,136,694 16,012 6,496 19,550 12,631 161,512 13,213 20,533 5,825 (NA) 48,560 27,981 8,029 4,359 37,653 19,288 13,480 10,083 18,376 16,989 6,064 23,037 26,058 39,844 23,099 11,708 17,460 3,649 6,809 5,756 4,065 36,217 11,464 89,056 28,780 2,520 46,905 12,922 15,086 47,292 5,509 16,704 2,861 20,275 59,057 7,542 2,674 26,925 25,137 15,678 31,770 4,201



Total, 2002 1,088,207 15,313 6,031 18,414 12,070 145,843 12,747 20,328 5,684 (NA) 46,952 26,416 7,812 4,242 39,537 18,313 12,154 9,803 17,223 17,414 5,717 22,521 26,487 39,816 20,620 10,672 17,111 3,238 6,583 5,868 3,751 34,975 10,618 85,044 28,136 2,440 45,542 13,053 16,382 43,728 5,355 15,479 3,242 18,549 56,620 7,515 2,844 26,575 24,372 13,931 31,175 3,952



20041 544,912 5,792 2,301 6,884 3,526 80,760 6,035 12,881 3,200 (NA) 23,852 17,348 4,025 2,087 26,996 11,535 4,513 4,644 7,620 6,826 2,658 10,493 23,949 8,707 14,658 3,594 7,150 1,419 2,752 2,461 1,321 24,761 5,025 41,242 15,187 971 24,083 4,936 5,001 22,152 2,834 5,162 892 8,767 29,787 3,668 973 12,660 11,958 3,319 10,759 792



2003 524,428 5,585 2,496 6,218 3,251 79,089 6,138 12,023 2,918 (NA) 21,196 17,292 3,923 1,941 25,161 10,751 4,484 4,260 7,444 6,662 2,586 10,469 23,376 8,909 14,263 3,498 6,598 1,327 2,622 2,146 1,260 23,941 4,339 40,328 14,271 875 22,558 4,687 3,958 20,679 2,741 5,040 891 8,049 31,105 3,552 882 12,204 11,739 3,139 10,772 792



2002 527,793 5,347 (NA) 6,330 3,250 79,865 6,705 11,686 2,844 (NA) 19,736 17,300 3,834 2,002 25,476 9,594 4,603 4,702 7,429 6,476 2,507 11,132 24,621 9,290 14,142 3,422 7,830 1,503 2,821 1,946 1,138 21,730 4,400 43,532 14,713 887 21,830 5,181 5,140 20,736 2,642 5,409 864 7,610 32,510 3,805 894 12,241 11,228 2,994 11,259 659



20041 523,539 5,491 2,301 6,517 3,526 77,634 5,689 12,678 2,554 (NA) 21,542 16,265 3,840 1,987 22,632 11,244 4,561 4,317 7,294 6,743 2,643 10,262 22,470 8,695 13,734 3,591 6,662 1,287 2,576 2,320 1,305 23,939 4,383 42,065 14,704 894 23,839 4,833 5,479 21,926 2,790 4,865 889 8,357 29,434 3,569 915 12,387 11,452 3,019 10,654 788



2003 508,285 5,473 2,496 6,026 3,251 77,482 5,913 12,120 2,454 (NA) 20,514 16,025 3,806 1,926 21,893 10,309 4,531 4,138 7,179 6,457 2,533 10,347 22,439 8,735 13,894 3,458 6,382 1,283 2,619 2,037 1,260 23,568 4,051 37,613 13,856 860 22,653 4,653 3,865 20,400 2,691 4,995 884 7,914 30,656 3,536 888 12,118 11,334 2,933 11,054 788



2002 513,479 5,362 (NA) 6,329 3,250 78,380 6,711 11,899 2,524 (NA) 19,267 16,074 3,624 2,002 24,826 9,579 4,600 4,528 7,251 6,426 2,593 10,677 22,831 9,290 12,755 3,584 7,734 1,339 2,593 1,847 1,150 21,207 3,988 41,455 14,530 847 21,778 5,136 5,074 20,770 2,625 5,348 853 7,568 30,572 3,805 872 12,131 11,217 2,976 11,074 630



20041 18,625 261 – 368 – 6 3,127 346 202 646 (NA) 2,310

6 6



2003 10,219 113 6 – 6 192 – 6 1,607 225 –97 464 (NA) 6 682

6 6 6



2002 14,013

6 25 (NA) 6 2 – 1,486 6



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



57 –123 6 320 (NA) 6 469

6



1,083 185 100 182 291 26 327 250 45 15



1,268 6 117 6 16 6 317 6 442

6



1,226 6 210 – 6 650 6 16

6 3 174 6 24 6 50 –86



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



–46 123 163 6 23 6 29

6



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



6



230 1,479 12 6 924 3 488 132 177 141 16 480 1,077 287 77 157 102 –478 77 44 55 – 349 981 53 – 274 506 291 6 105 4

6 6 822 6



6 123 6 752 6



174 369 6 41



6 456 1,790 – 1,387 6 5 6 96 165



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



6



216 43 6 3 6 108 – 373 245 6 815 251 6 15 34 93 209 6 43

6 – 6 64 6 88 6 6 53 6



6 121 6 138 6



–12



6



500 401 6 2,077 6 1 6 40

6



153 6 45 66 6 300 6 17 62 6 – 6 – 6 1,421 6 –

6 6 – 109 6 10 6 2 151 6 10



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



46



16



196 –282 6 4



6 – 6 86 6 405 6



– Represents zero.

1 2 3



NA Not available.



Estimated. Includes funds budgeted, adjustments, and balances from previous year. May or may not include budget stabilization fund transfers, depending on state accounting practices. 4 Resources less expenditures. 5 Includes bonds and other state funds not shown separately. 6 Ending balance is held in a budget stabilization fund. Survey, Census, or Data Collection Method: Source: right). Based on surveys completed by governors’ state budget officers in the 50 states; for information, see Internet site .



National Association of State Budget Officers, Washington, DC, 2003 State Expenditure Report, and State General Fund from NASBO, Fiscal Survey of the States, semiannual (copy-



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



105



Table A-77. States — State Government Tax Collections: 2004, and Federal Aid to State



and Local Governments

State government tax collections, 2004 Type of tax ($1,000) Geographic area Percent Per change, capita 2003– (dol.) 2004 2,025 1,549 1,967 1,672 2,027 2,388 1,533 2,937 2,862 (X) 1,769 1,650 3,048 1,901 2,005 1,917 1,738 1,931 2,041 1,777 2,200 2,216 2,602 2,379 2,889 1,765 1,585 1,754 2,083 2,030 1,543 2,412 2,103 2,384 1,941 1,938 1,961 1,824 1,698 2,043 2,228 1,621 1,378 1,616 1,367 1,754 2,845 1,908 2,240 2,066 2,275 2,968 Sales and gross receipts Selective sales taxes General sales and gross receipts Insurance premiums Other selective sales 14,602,534 167,559 (X) 47,726 80,268 (X) (X) 135,422 78,351 (X) 386,651 96,842 183,487 5,222 392,783 8,771 (X) 22,268 616,337 320,206 (X) 792,469 129,989 356,203 1,086,194 7,571 42,159 33,842 18,210 37,946 281,265 238,074 148,736 3,017,773 624,602 75,923 (X) 24,110 (X) 85,252 104,561 106,266 54,583 99,872 3,146,812 28,797 216,780 682,833 269,992 346,251 3,576 (X)



Total1 ($1,000) United States . . . 593,488,853 Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,018,242 1,288,164 5,580,678 85,721,483 7,051,457 9,606,318 10,291,289 2,375,482 (X) 30,767,561 14,570,573 3,849,135 2,647,790 25,490,593 11,957,470 5,133,126 5,283,676 8,463,400 8,025,507 2,896,759 12,314,799 16,698,723 24,061,065 14,734,921 5,124,730 9,119,664 1,625,692 3,639,811 4,738,877 2,005,389 20,981,428 4,001,780 45,833,652 16,576,316 1,228,890 22,475,528 6,426,713 6,103,071 25,346,869 2,408,861 6,803,568 1,062,722 9,536,031 30,751,860 4,189,172 1,766,719 14,233,065 13,895,346 3,749,013 12,531,098 1,504,777



Total



Total



Alcoholic beverages 4,614,804 137,222 28,262 41,240 312,826 31,317 55,954 44,026 13,385 (X) 591,551 149,801 41,250 6,609 147,883 38,509 12,709 87,637 79,104 53,422 39,279 26,863 68,522 149,424 69,497 39,793 28,026 20,570 23,159 33,867 12,239 87,357 37,503 191,128 212,224 5,910 88,267 68,420 13,306 221,408 10,607 146,658 12,435 92,062 601,841 28,174 16,894 146,019 192,618 8,624 48,071 1,332



Amusements



Motor fuels



Parimutuels



Public utilities



Tobacco products



8.11 294,104,344 198,431,303 95,673,041 9.38 15.00 10.52 8.46 8.24 6.26 8.23 12.24 (X) 13.98 8.64 7.82 12.94 14.76 6.61 4.28 5.50 1.74 7.73 7.40 12.15 6.99 5.77 5.39 2.51 5.71 9.33 8.73 14.77 2.36 5.24 10.94 8.47 4.59 4.34 8.83 8.82 7.04 9.31 6.74 7.09 4.91 8.22 5.68 5.93 13.34 9.75 7.22 4.31 3.65 23.63 3,675,562 168,392 2,934,030 33,984,188 2,894,035 1,892,560 (X) 2,149,527 26,506,911 1,909,246 1,783,002 168,392 784,503 7,477,277 984,789 1,351,095 1,773,155 383,383 (X) 6,352,026 1,547,448 569,922 366,231 5,603,955 2,147,509 819,818 790,225 1,540,274 1,929,796 442,904 2,267,364 1,718,890 2,949,792 2,317,528 908,294 1,518,453 437,051 463,487 1,559,853 674,354 3,478,584 595,140 6,428,674 2,917,380 299,434 2,901,794 744,782 748,882 4,756,513 500,727 963,329 278,873 1,499,456 9,160,557 582,565 430,637 2,234,662 2,441,440 1,071,888 1,895,792 111,162



4,990,713 13,775,340 33,605,402 97 2,413 (X) (X) 99,145 625 435,061 (X) (X) (X) (X) (X) (X) 785,922 765,707 213,522 651 232 524,119 (X) 10,432 5,255 99,455 55,784 167,327 307,062 50,496 6,136 861,511 1,777 468,072 38,543 570 11,504 10,079 (X) 5,356 84 565 (X) 39,627 26 (X) 23,086 (X) (X) 50 60 (X) 362 (X) 245,577 49,873 91,330 2,114,980 177,782 312,852 218,202 68,009 (X) 573,100 317,463 81,916 82,283 378,517 178,303 138,229 121,827 331,903 342,353 77,770 279,089 399,764 230,272 265,970 161,201 304,848 61,063 38,460 194,228 79,450 417,873 87,448 833,073 432,975 30,928 423,078 144,186 52,167 639,578 43,350 106,643 55,339 351,111 1,130,499 105,965 49,018 351,278 345,614 102,181 138,388 18,034 535,493 40,660 453,148 3,324,883 597,558 671,765 456,805 112,435 (X) 1,823,349 755,994 84,378 218,019 1,421,927 802,168 357,835 428,985 476,605 560,769 220,410 746,044 684,242 1,081,259 648,428 464,748 726,705 197,605 302,899 293,595 129,913 546,952 210,863 518,557 1,272,611 118,744 1,541,151 415,318 404,547 1,785,200 133,415 489,322 126,017 832,168 2,918,842 344,121 85,994 909,468 925,723 309,274 1,028,516 69,975



301,879 11,482,059 12,300,310 3,226 (X) 4,574 42,143 4,504 566 10,660 188 (X) 26,749 (X) (X) (X) 12,042 4,762 3,241 3,531 15,466 20,420 4,509 3,028 5,697 11,825 1,489 (X) (X) 97 296 (X) 4,115 (X) 1,188 36,067 (X) 2,585 15,918 2,822 2,893 26,616 4,651 (X) 880 (X) 11,793 (X) (X) (X) 1,770 9,537 1,804 227 600,558 3,962 (X) 520,589 9,339 34,617 195,646 35,536 (X) 2,504,220 (X) 99,504 1,827 1,704,655 10,573 (X) 740 (X) 7,467 8,310 137,373 (X) 28,561 50 12,067 (X) 28,169 3,107 9,651 65,581 942,744 18,141 821,911 319,731 34,098 275,811 21,172 10,537 1,016,641 88,640 45,071 1,949 4,761 793,107 13,845 10,769 128,815 353,136 188,412 367,650 3,016 93,270 43,222 146,485 1,081,588 65,144 274,716 277,333 75,479 (X) 446,406 227,348 79,387 52,271 760,226 338,716 94,282 124,586 20,627 101,040 92,626 272,066 425,421 992,793 190,116 55,587 109,653 45,209 71,220 129,055 100,014 777,512 52,718 1,009,595 43,733 21,167 557,569 63,398 265,348 981,253 115,503 29,742 27,644 119,482 534,577 61,663 51,182 16,199 352,527 107,609 307,425 18,578



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



6,070,737 4,719,642 4,900,376 3,127,221 383,383 (X) (X) (X) 23,707,430 17,355,404 6,468,785 2,470,299 1,403,155 12,526,542 6,906,954 2,437,323 2,723,152 4,006,307 4,610,512 1,360,152 5,212,424 5,462,094 10,844,250 6,384,318 3,391,202 4,468,508 437,051 1,988,078 3,824,602 674,354 4,921,337 1,900,377 1,036,924 6,922,587 4,759,445 1,617,505 1,932,927 2,466,033 2,680,716 917,248 2,945,060 3,743,204 7,894,458 4,066,790 2,482,908 2,950,055 (X) 1,524,591 2,264,749 (X)



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



9,740,284 6,261,700 2,038,440 1,443,300 16,478,965 10,050,291 7,269,203 4,351,823 666,738 367,304 10,783,304 2,339,028 748,882 12,529,644 1,305,374 7,881,510 1,594,246 (X) 7,773,131 804,647



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



3,689,986 2,726,657 865,262 586,389 7,344,662 5,845,206 24,620,778 15,460,221 2,138,897 1,556,332 687,595 5,212,063 10,864,600 2,093,253 5,795,187 574,004 256,958 2,977,401 8,423,160 1,021,365 3,899,395 462,842



See footnotes at end of table.



106



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-77. States — State Government Tax Collections: 2004, and Federal Aid to State and Local Governments—Con.

State government tax collections, 2004 Type of tax ($1,000) Geographic area Licenses Occupation and business, NEC Other taxes Centers for Medicare and Medicaid Ser2000 vices2 Federal aid to state and local governments (mil. dol.) Total Selected programs, 2003



Alcoholic beverages United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385,659 2,491 1,829 1,652 43,841 5,632 3,732 6,092 614 (X) 34,492 2,331 (X) 1,309 10,838 9,648 8,710 2,460 5,104 (X) 3,090 960 2,937 13,079 1,039 2,346 3,886 1,976 285 (X) 17,514 3,960 963 46,000 13,796 259 29,843 5,204 2,610 14,765 99 8,076 296 2,444 38,515 1,147 520 8,209 10,045 10,489 527 5



Amusements



Corporation



Hunting and fishing



Motor vehicle



Individual income



Corporation net income



Death and gift



2003



2002



Highway Title 1 trust profund3 FEMA4 grams5 4,609 50 5 11 36 530 15 9 4 3 164 23 3 2 (Z) 15 12 14 34 153 5 20 27 10 35 24 35 3 7 2 6 37 10 2,443 116 15 31 34 30 22 4 9 6 13 228 7 3 16 30 21 13 6 8,233 147 – 163 102 1,413 95 102 28 35 473 – 27 32 399 160 54 – 142 – 38 173 228 376 – 137 – 34 37 40 26 273 82 991 206 25 – 118 76 436 – – – 139 831 41 25 153 123 83 147 23



222,061 6,339,370 1,233,601 17,412,024 10,881,425 197,421,360 30,801,302 5,734,958 (X) 1 2,162 5,191 752 28 66 380 (X) 4,583 (X) (X) 398 2,163 4,049 7,401 219 3,828 (X) 775 31 445 (X) 727 3,825 62 4,884 (X) 95,668 354 66,430 258 47 (X) 452 (X) 4,731 798 100 403 73,183 1,319 8,595 70,580 7,232 14,048 15,747 568,190 (X) 161,423 53,227 2,114 1,754 169,449 5,298 38,999 47,170 198,245 186,912 3,600 53,264 25,575 19,344 6,814 89,763 90,862 1,112 6,731 52,760 4,041 249,969 2,651 57,682 337,740 (X) 297,031 41,960 4,257 787,502 3,982 14,700 23,713 21,246 83,013 66,073 18,253 4,049 1,036 (X) 14,520 24,020 275 29,455 30,025 17,119 24,693 18,241 21,345 27,507 12,144 11,920 6,686 48,304 56,535 12,833 30,349 37,208 13,770 7,171 9,031 12,162 17,126 4,293 14,891 12,838 30,826 21,571 39,882 64,809 1,881 19,275 22,129 24,997 79,988 20,674 6,105 20,145 30,399 15,933 60,642 27,801 172,815 43,782 109,831 2,155,042 192,923 161,398 197,418 33,592 (X) 1,124,851 279,991 89,268 107,269 1,370,405 158,542 377,672 161,497 205,314 114,090 81,740 282,167 292,688 1,064,774 517,447 117,892 254,740 144,651 88,780 139,467 84,431 398,691 121,246 793,597 440,180 54,707 713,149 552,799 418,903 792,430 56,986 122,056 42,167 255,137 1,232,494 91,372 62,566 340,085 334,244 83,663 330,291 50,784 107,177 9,090 20,779 3,062,827 50,297 63,308 118,424 220,992 (X) 255,501 117,376 19,484 42,094 718,979 40,284 75,977 22,510 85,419 76,956 49,464 131,948 140,493 171,844 283,517 59,525 135,328 37,855 63,980 308,850 61,597 407,712 21,575 146,388 131,728 46,226 666,510 199,713 131,592 763,240 30,031 113,236 57,993 203,248 681,645 27,232 18,873 147,815 190,476 39,790 289,639 14,888 2,243,537 (X) 1,685,585 36,398,983 3,413,891 2,315,865 4,319,546 781,212 (X) (X) 6,830,486 1,169,205 907,795 8,139,558 3,807,861 1,958,697 1,915,530 2,819,393 2,187,050 1,160,028 5,277,844 8,830,334 6,576,065 5,709,584 1,061,704 3,720,749 605,582 1,242,603 (X) 54,769 7,400,733 1,007,248 24,647,225 7,250,837 213,982 8,705,161 2,319,123 4,270,740 7,323,364 899,939 2,438,712 (X) 146,851 (X) 1,692,277 429,817 7,422,071 (X) 1,068,212 5,051,612 (X) 292,051 339,564 181,830 6,925,916 239,591 525,650 379,822 217,768 (X) 1,345,780 494,701 58,119 103,784 2,068,574 644,787 89,826 166,609 381,538 236,745 111,616 447,487 1,301,076 1,841,010 637,183 243,846 224,366 67,723 167,429 (X) 407,603 1,896,998 138,196 2,044,504 837,085 49,807 1,060,594 133,309 320,065 1,677,998 69,479 196,510 47,108 694,798 (X) 145,005 62,228 422,119 (X) 181,515 681,990 (X) 29,467 2,251 21,394 574,510 50,145 42,292 130,464 11,725 (X) 383,030 66,018 9,829 7,418 221,733 139,995 67,896 48,064 67,679 45,784 32,076 152,251 194,706 75,543 87,022 15,440 69,657 11,431 26,423 24,548 30,536 516,008 7,392 736,004 145,109 2,883 64,242 111,143 73,608 708,587 25,313 32,765 9,322 96,534 151,131 9,674 14,712 149,647 139,855 9,301 86,357 6,044



379,978 355,690 286,144 5,896 2,407 7,028 3,851 46,211 4,232 4,483 1,025 3,633 17,256 8,949 1,515 1,651 14,000 6,283 3,383 2,759 5,968 6,486 2,404 6,330 9,841 11,514 5,710 4,927 7,140 1,435 2,079 1,911 1,425 10,169 3,766 43,463 10,067 1,203 13,233 4,726 4,716 16,655 1,855 4,914 1,376 8,153 24,353 2,337 1,185 6,200 7,474 3,301 6,773 1,420 5,557 2,250 6,314 3,559 41,627 3,951 4,492 958 4,025 15,044 9,300 1,460 1,560 13,296 5,997 3,391 2,889 5,719 6,820 2,049 5,660 9,202 11,185 5,776 4,605 7,137 1,654 2,028 1,646 1,326 10,239 3,418 38,637 9,510 1,189 13,262 4,510 4,457 15,603 1,794 4,883 1,350 7,374 21,955 2,208 1,087 6,233 7,103 3,034 6,173 1,192 4,570 2,260 4,501 2,657 33,158 3,273 3,771 818 2,963 11,676 7,192 1,221 1,229 11,271 5,142 2,639 2,315 4,720 5,248 1,850 5,538 7,500 9,486 4,599 3,420 5,671 1,439 1,682 1,244 1,116 8,212 2,774 30,038 7,911 1,155 10,560 3,587 3,597 12,765 1,526 4,017 1,131 6,160 17,350 1,910 900 4,615 5,707 2,542 4,504 1,014



164,041 28,521 2,682 535 3,258 1,903 17,643 1,417 1,908 401 833 7,475 4,401 495 635 5,216 2,923 1,473 1,184 2,857 3,344 1,259 2,560 4,222 4,850 2,589 2,443 3,645 459 892 629 542 4,228 1,599 20,831 4,824 343 6,551 1,828 1,808 7,561 894 2,667 391 4,450 10,306 853 495 2,020 2,953 1,510 3,032 223 530 381 469 392 2,727 401 387 97 152 1,650 778 115 209 869 615 345 358 509 514 181 425 497 776 367 364 725 1 222 180 140 720 261 1,250 815 182 918 398 378 1,347 142 438 204 532 2,595 215 108 697 554 328 579 233



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



2,198 72,898 134 2,718 785 506,776 6,923 1,896,287 (X) 2,628 143 57 75 12 523 (X) 4,604 46,342 18,616 8,033 14,016 6,327



– Represents zero.

1 2 3



X Not applicable.



Z Less than $500,000.



Includes items not shown separately. Program of the Department of Health and Human Services. Program of the Department of Transportation. 4 FEMA = Federal Emergency Management Agency, part of the Department of Homeland Security. 5 Program of the Department of Education. Survey, Census, or Data Collection Method: Tax collections—Based on the Annual Survey of State Government Tax Collection; for information, see Internet site ; Federal aid—Based on a survey of federal government departments and agencies; for information, see Internet site . Sources: Tax collections—U.S. Census Bureau, ‘‘State Government Tax Collections,’’ see Internet site (accessed 27 April 2005); Federal aid—U.S. Census Bureau, Federal Aid to States for Fiscal Year 2003, 2002, 2001, 2000, see also .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



107



Table A-78. States — Federal Government

Nonfarm employment (BLS)1 (1,000) Geographic area Per capita (dol.) Direct payments for individuals Grants to state and local government 435,050 6,649 3,022 7,235 4,541 51,329 6,014 5,376 1,181 4,310 17,463 10,561 1,911 1,858 15,720 7,313 3,877 3,415 6,634 7,820 2,610 8,632 13,328 12,970 6,914 5,318 8,655 1,938 2,512 1,955 1,865 11,481 4,322 47,575 11,613 1,537 15,687 5,136 5,103 18,624 2,234 5,969 1,698 9,057 28,423 2,845 1,331 7,886 8,881 3,562 7,544 1,616 Salaries and wages 207,293 3,224 1,617 3,335 1,339 20,611 4,329 1,516 489 14,760 9,746 8,015 2,864 834 6,553 2,338 1,129 2,108 3,112 2,648 888 10,331 3,446 3,418 2,120 1,970 3,832 845 1,192 1,222 571 4,159 1,926 8,535 6,541 717 5,362 3,353 1,781 6,363 817 2,863 673 3,357 13,939 2,047 360 14,756 5,758 1,289 1,785 510 Federal earnings (BEA)2 (mil. dol.) Civilian Military Total (mil. dol.) Federal funds and grants Defense, 2003 Selected object categories, 2003 (mil. dol.)



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

3



2003

3



2000

3



2004 223,754 4,031 1,395 3,981 1,522 20,080 4,203 1,495 370 20,117 9,936 7,331 2,493 968 7,027 2,716 1,285 1,903 2,433 2,638 1,111 14,240 4,120 4,179 2,554 1,867 4,152 980 1,156 1,387 631 5,099 2,224 10,262 4,364 626 6,215 3,553 2,342 8,014 841 2,015 751 3,949 13,760 2,430 461 14,581 5,729 1,660 2,043 536



2003 219,213 4,009 1,338 3,681 1,474 19,849 4,136 1,519 367 19,644 9,507 7,296 2,375 911 6,977 2,680 1,283 1,829 2,457 2,555 1,059 13,990 4,222 4,078 2,499 1,808 4,135 953 1,123 1,236 607 5,052 2,205 10,017 4,258 600 6,258 3,388 2,267 8,011 850 1,978 731 3,899 13,444 2,438 434 14,156 5,494 1,612 2,024 502



2001 201,864 3,681 1,239 3,292 1,368 18,596 3,853 1,507 373 17,449 8,522 6,571 2,091 841 6,640 2,582 1,218 1,718 2,271 2,381 958 12,537 4,024 3,804 2,312 1,660 3,928 851 1,012 1,067 569 4,780 2,054 9,522 3,931 554 6,002 3,149 2,101 7,633 798 1,841 682 3,706 12,246 2,194 378 12,697 4,816 1,484 1,926 459



2004 117,323 1,933 1,575 2,021 890 13,004 2,703 777 478 1,819 6,606 5,704 3,444 526 2,622 805 543 1,694 2,750 2,183 487 3,014 983 849 724 1,789 1,805 441 912 871 169 1,274 1,150 2,631 7,470 741 1,863 2,278 509 1,775 447 3,018 449 976 10,218 850 157 11,501 4,414 371 762 350



2003 109,607 1,831 1,405 1,891 823 12,322 2,492 734 447 1,659 6,272 5,294 3,129 469 2,502 760 471 1,578 2,542 2,023 460 2,855 932 822 697 1,686 1,674 405 846 792 165 1,198 1,046 2,424 6,919 679 1,716 2,098 486 1,649 448 2,779 410 890 9,480 801 147 10,976 4,162 343 654 321



2001 84,859 1,338 1,108 1,399 525 9,995 1,915 582 297 1,356 4,960 4,206 2,729 330 2,178 429 257 1,203 2,132 1,445 340 2,368 591 466 381 1,256 1,200 278 620 539 83 866 765 1,719 5,438 484 1,063 1,624 275 992 401 2,210 265 552 7,395 495 79 9,567 3,354 197 374 235



2003



2000



Percent 14.9 21.4 29.0 26.2 7.9 17.9 18.0 29.9 11.1 9.6 14.1 17.3 39.8 7.5 6.8 10.3 5.7 13.8 17.0 11.4 18.2 19.8 14.5 6.0 7.7 16.8 18.2 7.8 10.0 11.8 11.3 9.9 11.5 4.6 14.5 12.4 9.7 15.8 5.2 8.9 13.4 15.2 8.1 8.2 21.6 23.0 13.7 39.6 17.8 3.6 6.0 8.8



2,728.0 51.1 17.1 50.9 20.8 250.2 52.8 20.1 5.5 191.9 126.8 93.5 31.5 13.2 89.9 36.3 18.3 26.0 37.0 34.4 14.4 127.7 50.7 55.5 33.7 25.4 54.4 13.8 16.6 16.4 7.9 62.4 29.7 129.9 61.2 10.1 78.2 46.1 30.2 107.6 10.0 28.1 11.2 50.6 180.8 34.7 6.3 152.4 69.7 21.8 29.5 7.6



2,761.0 50.3 17.1 50.5 21.0 255.4 53.5 20.8 5.3 192.4 126.3 94.4 31.6 13.6 92.0 37.1 19.0 26.2 37.4 35.1 14.1 128.2 52.0 56.1 34.2 25.8 55.3 13.8 16.7 16.5 8.0 63.3 29.9 135.1 61.4 10.1 79.5 46.1 30.7 108.0 10.2 28.1 11.3 51.3 180.4 35.7 6.3 147.7 70.2 21.9 29.8 7.6



2,865.0 53.4 17.1 48.7 22.4 272.9 54.8 23.4 5.8 183.6 125.0 97.7 30.9 13.6 100.6 43.2 20.8 27.7 39.2 37.3 14.3 128.1 57.0 60.4 36.1 27.1 59.6 13.4 16.6 15.2 8.2 68.3 30.4 147.0 67.0 9.6 87.2 47.9 31.6 114.3 10.8 31.3 11.4 53.6 186.2 32.8 6.1 153.0 69.9 22.5 32.6 7.4



2,009,585 1,604,670 36,871 7,944 37,801 18,340 219,706 28,874 28,595 5,061 34,750 113,341 51,910 11,269 8,654 73,020 35,525 17,550 18,208 31,153 31,646 9,966 57,646 51,265 57,870 27,580 21,741 43,874 7,092 11,000 11,637 7,349 53,679 18,736 137,898 51,766 5,726 69,902 25,254 21,253 90,350 8,036 28,038 6,202 42,602 140,451 13,500 4,443 82,454 43,368 14,226 30,237 4,226 29,250 5,963 29,282 14,847 175,967 22,929 19,527 3,962 27,418 92,882 42,525 9,036 7,012 60,046 28,743 14,761 14,282 24,472 25,995 7,853 45,365 40,860 46,851 23,013 18,389 35,730 5,920 9,617 8,633 5,805 43,654 14,484 110,459 41,414 5,246 57,387 20,758 16,568 73,745 6,879 22,323 5,141 33,588 106,671 10,043 3,364 62,808 33,923 11,751 24,308 3,221



1,030 1,073,228 1,757 3,556 1,771 530 1,106 1,139 2,453 690 5,894 938 1,037 3,566 478 390 589 342 925 1,285 802 1,389 2,071 1,154 343 419 1,265 1,401 606 632 611 642 617 1,151 328 893 1,123 593 1,135 308 651 1,003 1,027 656 598 1,372 1,319 986 4,425 1,256 282 330 747 19,930 1,625 18,675 11,596 110,716 13,389 13,218 3,146 4,304 75,233 28,092 4,516 4,431 45,018 22,572 11,434 10,665 16,288 17,983 5,156 22,467 26,133 37,598 16,141 11,827 23,396 3,812 6,688 6,988 4,174 32,578 6,669 74,030 29,818 3,074 42,305 14,277 13,171 57,228 4,326 15,592 3,450 22,666 68,266 5,943 2,186 28,973 22,100 8,711 18,900 1,754



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1 2 3



. . . . . .



Bureau of Labor Statistics. Bureau of Economic Analysis. United States totals differ from the sum of the state figures because of differing benchmarks among states and differing industrial and geographic stratification.



Survey, Census, or Data Collection Method: Employment—Based on the Current Employment Statistics (CES) survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Earnings—Based on the Regional Economic Information System; for information, see Internet site ; Federal funds and grants—Based on information systems in various federal government agencies; for information, see Internet site . Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, and see Internet site ; Federal funds and grants—U.S. Census Bureau, Consolidated Federal Funds Report, annual, see Internet site .



108



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-79. States — Federal Individual Income Tax Returns

Federal individual income tax returns Number of returns1 (1,000) Geographic area Adjusted gross income2 (mil. dol.) Adjusted gross income per return (dol.) Income tax3 (mil. dol.) Federal civilian employment4 Federally owned property, 2003 Federal lands, 20035



2002 United States7. . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,357 1,884 343 2,285 1,122 15,172 2,079 1,654 388 276 7,850 3,709 591 578 5,723 2,817 1,325 1,219 1,741 1,880 615 2,602 3,052 4,546 2,384 1,170 2,564 434 803 1,044 635 4,082 814 8,590 3,681 302 5,444 1,461 1,572 5,772 498 1,805 357 2,565 9,299 970 302 3,432 2,809 744 2,590 241



2000 130,122 1,904 329 2,153 1,118 14,867 2,096 1,672 378 279 7,499 3,637 572 559 5,787 2,837 1,351 1,223 1,747 1,874 606 2,563 3,110 4,620 2,386 1,173 2,565 424 809 954 629 4,067 728 8,577 3,636 303 5,575 1,465 1,562 5,806 494 1,802 355 2,567 9,052 942 299 3,338 2,773 750 2,597 235



2002 6,199,925 74,843 14,833 102,846 41,364 803,512 105,025 111,029 19,284 16,145 350,664 168,864 25,718 22,254 290,425 119,765 54,107 52,503 68,276 70,865 24,727 145,389 178,244 209,646 119,930 40,610 107,992 15,198 33,043 52,307 32,337 247,077 29,959 465,512 157,402 11,285 227,754 56,019 67,956 261,846 23,701 70,931 13,475 105,526 415,647 41,015 12,525 180,640 141,431 26,629 117,029 11,092



2000 6,307,009 72,591 13,964 98,821 39,706 864,645 112,909 117,734 18,647 16,271 348,609 168,486 23,929 22,572 302,994 119,554 54,016 53,410 66,933 69,184 24,374 139,963 202,426 217,648 120,028 39,170 108,519 14,523 33,605 48,858 34,469 253,294 23,655 474,337 156,022 10,735 231,057 54,835 70,282 262,961 23,015 69,543 13,233 103,066 417,263 40,270 12,632 171,060 149,598 25,645 116,346 11,020



2002 47,199 39,730 43,240 45,003 36,882 52,961 50,516 67,136 49,665 58,573 44,673 45,524 43,510 38,507 50,749 42,522 40,840 43,086 39,220 37,701 40,201 55,879 58,408 46,113 50,310 34,720 42,120 35,057 41,165 50,101 50,952 60,527 36,817 54,193 42,763 37,314 41,835 38,344 43,233 45,367 47,585 39,301 37,698 41,140 44,699 42,291 41,445 52,637 50,357 35,771 45,188 46,027



2000 48,470 38,126 42,444 45,899 35,515 58,159 53,869 70,415 49,331 58,319 46,487 46,326 41,834 40,379 52,358 42,141 39,982 43,671 38,313 36,918 40,221 54,609 65,089 47,110 50,305 33,393 42,308 34,252 41,539 51,214 54,800 62,280 32,493 55,303 42,910 35,429 41,445 37,430 44,995 45,291 46,589 38,592 37,276 40,150 46,096 42,749 42,247 51,246 53,948 34,193 44,800 46,894



2002 751,617 7,897 1,796 11,482 4,138 101,142 12,715 17,141 2,313 2,371 44,497 19,128 2,754 2,156 37,309 12,963 5,442 5,730 6,986 7,506 2,503 17,870 24,505 24,061 14,184 3,827 11,834 1,474 3,515 6,783 3,997 34,778 3,032 64,517 16,646 1,140 24,760 5,834 7,097 30,944 2,817 7,045 1,448 12,129 51,853 3,964 1,330 22,232 17,928 2,598 12,865 1,389



2000 980,064 9,476 2,064 14,165 5,087 146,454 18,243 22,682 2,794 2,839 56,618 24,693 3,124 2,922 49,472 16,416 6,896 7,491 8,617 9,261 3,151 20,950 36,438 31,781 17,687 4,666 15,270 1,766 4,561 7,845 5,673 44,470 2,721 80,907 21,231 1,333 31,612 7,150 9,723 39,214 3,316 8,804 1,824 14,590 67,590 4,964 1,705 26,051 25,254 3,102 15,900 1,820



2002 (1,000) 2,653 48 14 46 20 245 52 20 5 189 122 91 25 11 92 36 18 25 31 33 14 133 53 57 34 24 54 12 15 15 9 63 26 133 57 8 80 44 29 106 11 27 10 49 166 33 6 143 65 19 29 6



Percent change, 2000– 2002 –0.8 – – 7.0 – –1.2 2.0 –4.8 – 4.4 8.0 2.2 8.7 – –2.1 –2.7 – – 3.3 – 7.7 2.3 – –1.7 – – – 9.1 – 15.4 12.5 1.6 4.0 –0.7 – – –4.8 2.3 – –0.9 10.0 3.8 11.1 –2.0 2.5 10.0 – –1.4 4.8 5.6 –3.3 –



Number of buildings6 432,791 8,018 8,645 5,664 14,228 60,475 9,405 2,046 1,556 937 14,180 13,160 16,459 7,127 4,877 2,327 6,246 6,058 7,182 6,430 4,418 10,364 2,135 6,321 2,953 6,605 6,720 6,934 540 16,244 5,688 14,790 11,196 4,705 3,245 7,744 5,048 8,813 7,072 7,509 1,333 9,828 3,187 8,402 24,200 8,359 476 17,812 13,589 1,600 5,096 4,845



Building area (mil. sq. ft.) 3,032 54 55 24 54 380 57 16 66 8 111 113 86 77 33 13 19 43 56 48 35 109 13 33 19 50 43 15 4 91 53 67 105 27 19 32 71 56 23 82 13 63 18 73 214 51 2 207 85 14 22 11



Total (1,000 acres) 671,759 1,203 243,847 36,495 3,956 46,980 23,174 15 29 10 4,606 2,314 672 35,136 652 534 303 642 1,707 1,502 164 193 106 3,639 3,535 2,101 2,238 29,239 1,459 64,589 830 180 26,518 242 3,602 1,333 458 1,331 30,639 725 5 1,236 2,314 2,016 3,172 35,025 450 2,617 13,247 1,266 1,982 31,532



Percent of total land 29.6 3.7 66.7 50.2 11.8 46.9 34.9 0.5 2.3 26.3 13.3 6.2 16.4 66.4 1.8 2.3 0.8 1.2 6.7 5.2 0.8 3.0 2.1 10.0 6.9 7.0 5.1 31.3 3.0 91.9 14.4 3.7 34.1 0.8 11.5 3.0 1.7 3.0 49.7 2.5 0.8 6.4 4.7 7.5 1.9 66.5 7.6 10.3 31.0 8.2 5.7 50.6



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



– Represents zero. Includes returns constructed by Internal Revenue Service for certain self-employment tax returns. Less deficit. Includes additional tax for tax preferences, self-employment tax, tax from investment credit recapture, and other income-related taxes. Total is before earned income credit. 4 Excludes Central Intelligence Agency, Defense Intelligence Agency, seasonal and on-call employees, and National Security Agency. 5 Excludes trust properties. 6 Excludes data for Department of Defense military functions outside of the United States. 7 For federal individual income tax returns, the states will not sum to U.S. totals. Totals include returns filed from Army Post Office and Fleet Post Office addresses by members of the armed forces stationed overseas; returns by other U.S. citizens abroad; and returns filed by residents of Puerto Rico with income from sources outside of Puerto Rico or with income earned as U.S. government employees.

2 3 1



Survey, Census, or Data Collection Method: Tax returns—Based on the IRS’s Statistics of Income (SOI) program; for information, see Internet site ; Federal civilian employment—Based on the Central Personnel Data File (CPDF); for information, see Internet site ; Property and land—Based on annual agency reports; for information, see Internet site . Sources: Tax returns—U.S. Internal Revenue Service, Statistics of Income Bulletin, quarterly; Federal civilian employment—U.S. Office of Personnel Management, Biennial Report of Employment by Geographic Area, 2002; see Internet site ; Property and land—U.S. General Services Administration, Federal Real Property Profile, annual, see Internet site (released 11 March 2003).



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



109



Table A-80. States — Social Security, Food Stamps, and School Lunch Programs

Social security benefits Beneficiaries (Dec. 31) (1,000) Geographic area Total 2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,531 884 63 888 546 4,412 571 584 149 72 3,382 1,192 199 219 1,884 1,038 546 447 785 739 265 761 1,067 1,716 775 546 1,046 166 291 341 219 1,370 304 3,045 1,467 115 1,951 623 611 2,405 192 751 140 1,070 2,865 262 110 1,114 913 407 937 83 2000 44,324 827 55 791 517 4,208 535 579 135 74 3,193 1,106 184 194 1,842 994 540 440 739 711 251 723 1,064 1,645 739 516 1,005 158 284 287 200 1,352 281 3,006 1,350 114 1,918 594 568 2,357 192 689 136 996 2,638 242 105 1,035 845 390 900 77 Retired workers and dependents4 2004 32,278 536 41 634 341 3,162 406 435 105 50 2,497 771 154 156 1,337 719 396 319 459 440 175 541 748 1,172 567 319 703 119 211 249 154 1,007 205 2,162 977 82 1,346 420 445 1,703 135 489 101 688 1,939 191 77 757 658 237 685 60 2000 31,090 516 35 575 332 3,046 376 436 96 52 2,381 712 143 140 1,320 695 396 317 438 429 170 519 759 1,138 545 303 687 111 209 212 145 1,000 191 2,147 906 81 1,334 408 420 1,708 139 448 97 642 1,811 178 73 704 618 233 665 56 Total 2004 485,123 8,697 618 9,282 5,228 45,788 5,822 6,642 1,618 653 34,976 11,958 2,039 2,202 20,456 11,259 5,689 4,745 7,656 7,121 2,548 8,076 11,195 19,067 8,080 5,092 10,686 1,653 2,963 3,594 2,327 15,777 2,871 33,354 14,779 1,125 20,609 6,234 6,437 25,893 2,007 7,538 1,340 10,679 28,664 2,710 1,117 11,381 9,833 4,189 10,000 856 2000 401,044 6,942 465 7,163 4,250 38,138 4,698 5,711 1,268 579 28,700 9,503 1,628 1,697 17,530 9,380 4,891 4,057 6,203 5,906 2,075 6,622 9,696 15,892 6,633 4,101 8,881 1,376 2,533 2,609 1,849 13,521 2,303 28,691 11,651 972 17,724 5,141 5,200 22,121 1,739 5,908 1,124 8,537 22,883 2,152 918 9,060 7,898 3,488 8,347 690 Retired workers and dependents4 2004 322,792 5,062 388 6,377 3,151 31,216 3,926 4,808 1,098 435 24,782 7,464 1,516 1,495 13,869 7,520 3,926 3,260 4,247 3,960 1,617 5,460 7,561 12,497 5,640 2,889 6,918 1,122 2,049 2,504 1,584 11,191 1,858 22,849 9,565 746 13,480 3,993 4,458 17,477 1,371 4,761 913 6,635 18,429 1,892 756 7,408 6,785 2,268 7,018 598 2000 271,185 4,186 291 5,026 2,633 26,460 3,148 4,219 872 384 20,622 5,947 1,230 1,176 12,060 6,336 3,417 2,821 3,505 3,350 1,360 4,541 6,691 10,585 4,673 2,364 5,876 926 1,778 1,849 1,298 9,712 1,508 19,916 7,652 645 11,698 3,358 3,684 15,315 1,237 3,760 766 5,332 14,963 1,530 624 5,929 5,564 1,947 5,936 485 Payments1 (mil. dol.) Federal food stamp program National school lunch program



Participants (Sept. 30) (1,000)



Federal cost2 (mil. dol.)



Participants (1,000)



Federal cost3 (mil. dol.)



2004 23,819 498 49 530 346 1,859 242 196 56 89 1,202 867 99 91 1,070 526 179 170 545 706 142 274 335 944 247 377 700 77 114 120 48 369 223 1,598 747 41 945 412 420 961 78 497 53 806 2,259 123 43 486 453 256 324 26



2000 17,156 396 38 259 247 1,830 156 165 32 81 882 559 118 58 817 300 123 117 403 500 102 219 232 603 196 276 423 59 82 61 36 345 169 1,439 488 32 610 253 234 777 74 295 43 496 1,333 82 41 336 295 227 193 22



2004 24,560 513 64 578 347 1,990 251 198 57 98 1,269 924 152 91 1,211 550 176 158 543 754 140 287 304 896 249 361 663 79 109 120 44 378 217 1,876 753 40 1,009 398 415 933 74 501 54 812 2,307 123 40 476 455 232 269 25



2000 14,927 344 46 240 206 1,639 127 138 31 77 771 489 166 46 777 268 100 83 337 448 81 199 182 457 165 226 358 51 61 57 28 304 140 1,361 403 25 520 208 198 656 59 249 37 415 1,215 68 32 263 241 185 129 19



2004 28,515 558 52 545 322 2,795 335 292 78 47 1,464 1,170 124 153 1,080 679 385 323 528 630 106 426 549 858 583 399 611 79 226 146 112 617 208 1,804 886 78 1,047 389 284 1,087 83 473 104 648 2,777 289 55 705 506 201 569 49



2000 26,845 541 50 447 312 2,634 321 265 72 47 1,322 1,065 143 143 1,058 622 383 308 499 646 107 392 528 803 563 397 587 79 220 114 104 586 192 1,790 822 80 996 374 266 1,013 63 471 105 622 2,451 269 52 665 466 202 536 52



2004 7,489 143 21 160 85 997 75 67 17 16 428 309 31 34 304 148 68 66 129 178 23 97 110 199 105 125 143 18 45 43 18 153 68 490 239 14 230 108 73 236 22 135 22 161 826 63 11 146 124 48 108 10



2000 6,016 121 17 112 71 830 60 50 13 15 344 228 30 27 249 100 55 53 102 154 20 81 95 160 82 107 111 16 36 28 14 130 53 455 179 13 178 86 55 190 18 111 19 124 617 46 9 118 97 43 83 9



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1 2 3



. . . . . .



Unnegotiated checks not deducted. Includes benefits only and excludes administrative expenditures. Includes cash payments and commodity costs. 4 Includes special benefits for persons age 72 and over not insured under regular or transitional provisions of Social Security Act. Survey, Census, or Data Collection Method: Social security—Based on a 10 percent sample of administrative records; for information, see Internet site ; food stamp and national school lunch programs—Based on administrative records; for information, see Internet site . Federal



Sources: Social security—U.S. Social Security Administration, Annual Statistical Supplement to the Social Security Bulletin, see Internet site ; Federal food stamp and national school lunch programs—U.S. Department of Agriculture, Food and Nutrition Service, ‘‘Food and Nutrition Service, Program Data’’; see Internet site .



110



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U.S. Census Bureau



Table A-81. States — Social Welfare Programs and Workers’ Compensation

Public aid recipients as percent of population1 Supplemental security income (SSI)2 Temporary Assistance for Needy Families (TANF)3 Recipients (Dec.) (1,000) Annual payments6 (mil. dol.) 2003 26,340 171 88 342 54 5,851 236 450 56 166 852 501 134 43 989 313 156 150 191 267 100 366 697 1,205 498 120 299 56 79 85 72 842 123 4,463 457 42 1,007 203 226 1,109 162 148 26 274 911 131 67 273 572 157 489 71 2000 24,781 96 93 261 139 6,481 205 436 55 157 781 386 162 43 879 342 163 151 203 118 108 336 690 1,264 381 62 321 44 79 69 73 321 149 3,512 440 33 995 130 169 1,327 172 245 21 293 727 100 62 418 535 134 382 34 State unemployment insurance4 Workers’ compensation payments5 (mil. dol.)



Geographic area



Recipients (Dec.) (1,000)



Annual payments (mil. dol.)



Beneficiaries, first payments (1,000) 2004 8,272 119 46 96 85 1,111 88 128 28 17 300 208 24 50 392 187 89 68 121 90 33 109 239 462 147 60 166 22 43 66 21 332 32 513 273 13 306 60 148 487 41 123 10 168 422 45 23 126 208 44 269 14 2000 6,915 134 44 69 80 973 52 103 27 15 224 178 25 45 309 129 84 54 111 72 28 93 172 359 109 60 137 25 28 68 14 246 27 424 256 12 248 41 147 396 38 101 8 178 322 41 18 96 205 49 230 11



Benefits paid (mil. dol.)



2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.0 4.7 4.0 3.7 4.1 6.4 2.0 2.7 3.2 11.3 3.1 3.8 3.8 1.7 2.7 3.7 3.2 2.9 6.2 5.0 4.4 2.8 4.3 4.2 3.2 5.9 3.8 3.4 2.8 2.5 2.1 2.9 5.1 5.0 3.3 2.7 3.8 3.2 2.8 4.2 5.9 3.8 2.5 5.9 3.5 1.8 4.2 2.5 4.0 6.4 2.5 1.4



2000 4.4 4.6 4.8 3.2 4.3 6.9 1.9 3.3 3.1 11.4 3.2 3.9 5.5 1.5 3.9 3.1 3.2 2.5 6.5 5.3 4.5 3.0 4.2 4.1 3.6 5.7 4.2 3.0 2.6 2.1 2.1 3.2 6.4 6.9 3.6 2.3 4.2 3.1 2.6 4.3 6.9 3.7 2.6 5.5 3.6 1.8 4.8 2.8 4.2 5.8 2.3 1.4

7



2003 6,902

7



2000 6,601

7



2003 34,696 738 47 429 361 7,573 246 244 59 105 1,908 888 113 91 1,267 441 176 170 819 769 136 441 855 1,086 316 550 528 64 95 144 58 732 223 3,400 825 32 1,204 339 271 1,599 150 461 52 719 1,901 99 57 587 546 357 398 25

7



2000 30,669 659 37 355 333 6,386 228 216 50 93 1,621 785 104 76 1,174 382 158 151 741 715 116 400 807 988 272 512 471 57 85 108 49 672 193 3,197 732 30 1,114 302 228 1,367 130 429 48 664 1,575 87 51 535 484 318 357 23



2003 4,867 46 15 116 25 1,107 37 43 13 43 120 134 25 3 92 138 52 41 77 57 26 62 109 206 94 45 101 17 27 24 14 104 45 336 83 9 187 37 43 214 35 51 6 185 318 22 13 47 135 41 50 1



2000 5,678 45 21 84 29 1,262 28 64 12 45 142 125 46 2 234 101 53 32 87 71 28 71 100 198 114 34 125 13 24 16 14 125 69 695 98 7 235 35 38 241 44 42 7 147 347 21 16 69 148 33 38 1



2004 34,240 241 126 295 243 5,132 389 590 107 91 1,016 585 112 145 2,059 686 309 279 421 284 116 443 1,460 1,882 678 158 534 69 128 258 84 1,943 127 2,584 855 40 1,234 204 653 2,266 203 352 30 472 1,656 155 79 385 1,049 147 843 43



2000 20,251 203 110 162 179 2,407 158 349 74 66 662 317 102 103 1,212 311 210 174 271 183 77 271 790 921 398 122 333 57 59 204 31 1,126 73 1,687 487 40 742 104 430 1,462 136 204 16 364 989 95 44 197 873 112 528 26

8



2002 53,443 565 188 528 222 11,283 807 748 169 102 2,306 1,083 268 233 2,232 577 428 405 527 499 293 784 807 1,512 921 287 1,226 191 293 353 217 1,471 191 3,142 1,014 74 2,388 490 448 2,532 131 690 79 679 2,275 240 148 700 1,714 829 894 104

8



2000 48,284 529 146 515 198 8,968 835 667 146 89 2,545 996 231 179 2,049 546 357 342 479 494 267 730 828 1,474 798 269 909 170 211 361 182 1,299 146 2,909 853 74 2,099 485 412 2,403 114 597 67 642 2,005 188 112 681 1,528 690 768 83

8



1990 38,238 444 113 371 229 6,065 595 694 75 86 1,976 735 216 105 1,607 350 231 266 383 575 380 505 1,235 1,205 582 198 496 150 137 339 169 844 228 1,752 480 60 1,960 369 573 2,019 219 277 56 463 2,896 187 61 507 883 389 561 49



164 11 92 87 1,163 54 51 13 20 409 200 22 20 255 94 42 38 179 168 31 91 168 217 69 126 115 14 22 31 13 150 50 625 194 8 244 75 57 311 29 106 13 161 455 21 13 134 109 75 89 6



159 9 81 85 1,088 54 49 12 20 377 197 21 18 249 88 40 36 174 166 30 88 168 210 64 129 112 14 21 25 12 146 47 617 191 8 240 72 52 284 28 107 13 164 409 20 13 132 101 71 85 6



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1 2 3



. . . . . .



Total SSI and TANF recipients as of December as a percentage of resident population estimated as of July 1 for 2003 and enumerated as of April 1 for 2000. Data cover federal SSI payments and/or federally administered state supplementation. Prior to TANF, the cash assistance program to families was called Aid to Families with Dependent Children (1980–1996). Under the new welfare law (Personal Responsibility and Work Opportunity Reconciliation Act of 1996), the program became TANF. 4 Includes unemployment compensation for state and local government employees where covered by state law. 5 Payments represent compensation and medical benefits and include insurance losses paid by private insurance carriers (compiled from state workers’ compensation agencies and A.M. Best Co.); disbursements of state funds (compiled from the A.M. Best Co. and state workers’ compensation agencies); and self-insurance payments (compiled from state workers’ compensation agencies and authors’ estimates). 6 Represents federal and state funds expended in fiscal year. 7 Includes data not distributed by state. 8 Includes federal benefits not distributed by state. Federal benefits include: those paid under the Federal Employees Compensation Act for civilian employees; the portion of the Black Lung benefit program that is financed by employers; and a portion of benefits under the Longshore and Harbor Workers Compensation Act that are not reflected in state data, namely, benefits paid by self-insured employers and by special funds under the LHWCA. Survey, Census, or Data Collection Method: SSI—Based on Social Security Administration administrative records; for information, see Internet site ; TANF—For information, see Internet site ; State unemployment insurance—For information, see Internet site ; Workers’ compensation—For information, see Internet site . Sources: Public aid recipients—Compiled by the U.S. Census Bureau. Data from U.S. Social Security Administration, Annual Statistical Supplement to the Social Security Bulletin, and U.S. Administration for Children and Families, Unemployment Insurance Financial Data Handbook; SSI—U.S. Social Security Administration, Annual Statistical Supplement to the Social Security Bulletin; TANF—U.S. Administration for Children and Families, Temporary Assistance for Needy Families (TANF) Program, Annual Report to Congress, and unpublished data; State unemployment insurance—U.S. Employment and Training Administration, Unemployment Insurance Financial Data Handbook, annual; Workers’ compensation—National Academy of Social Insurance, Washington, DC, Workers’ Compensation: Benefits, Coverage, and Costs, annual for data beginning in 2000. See Internet site . For 1990 data, U.S. Social Security Administration, Social Security Bulletin.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



111



Table A-82. States — Government Transfer Payments to Individuals

Total government transfer payments 2003 Geographic area Percent change, 2000– 2003 25.2 24.1 6.7 39.4 25.9 27.1 27.7 18.3 27.7 21.4 25.9 29.3 20.8 30.5 22.9 22.5 20.6 20.6 20.4 24.8 27.1 27.1 23.4 22.9 29.6 27.8 25.1 18.2 22.6 38.1 22.6 24.2 32.3 22.8 27.2 11.6 23.2 26.0 24.9 20.4 22.7 27.0 20.2 25.1 30.1 28.4 26.7 25.8 27.3 29.9 25.2 27.0 Retirement and disability insurance benefits 493,132 8,517 596 9,157 5,149 49,747 5,714 6,642 1,565 666 34,274 11,699 1,972 2,248 20,577 11,199 5,672 4,818 7,750 6,981 2,496 8,175 11,097 18,657 8,146 4,956 10,655 1,775 3,032 3,441 2,223 16,233 2,816 35,083 14,222 1,192 22,789 6,251 6,664 26,446 2,146 7,412 1,311 10,415 27,896 2,866 1,090 11,248 11,057 5,620 9,805 976 Income maintenance benefits 130,464 2,412 336 2,090 1,354 20,621 1,327 1,285 284 505 6,811 3,708 604 398 5,202 2,176 852 826 2,243 2,868 613 1,814 2,515 4,637 1,596 1,883 2,389 336 585 639 294 2,641 942 12,588 4,024 191 4,973 1,566 1,369 5,060 532 2,124 240 3,063 9,553 549 277 2,311 2,195 1,068 1,843 155 Unemployment insurance benefits 53,512 412 166 511 406 7,281 710 927 159 116 1,622 1,038 167 251 3,020 959 468 525 644 400 165 752 2,362 2,563 1,030 269 775 103 170 390 154 2,678 180 3,945 1,413 59 1,789 397 1,303 3,608 261 570 39 773 3,001 289 120 790 2,285 256 1,179 61 Program area, 2003 (mil. dol.) Federal education and training assistance payments2 13,708 270 14 341 169 1,648 181 96 28 47 742 373 40 88 577 329 173 140 235 282 54 190 239 419 215 230 256 55 86 57 40 298 117 1,137 410 42 501 211 172 514 60 215 48 264 1,064 172 25 274 249 106 193 25



Total (mil. dol.) United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,275,144 20,651 3,164 22,242 12,596 145,642 14,264 16,662 3,650 3,290 80,866 30,630 4,642 4,966 51,277 24,606 12,119 10,746 19,004 20,701 6,746 21,579 32,668 45,090 20,402 13,803 26,145 3,697 6,981 7,716 4,803 41,097 7,955 117,583 35,759 2,592 53,176 15,114 15,293 66,136 5,827 18,212 2,995 27,345 77,966 6,373 2,844 25,059 26,493 11,555 22,414 2,011



Per capita1 (dol.) 4,385 4,585 4,881 3,987 4,618 4,107 3,137 4,778 4,461 5,899 4,757 3,530 3,718 3,633 4,054 3,969 4,119 3,944 4,615 4,607 5,153 3,915 5,088 4,472 4,029 4,789 4,571 4,026 4,018 3,441 3,727 4,755 4,235 6,120 4,246 4,092 4,649 4,310 4,291 5,346 5,415 4,390 3,915 4,678 3,527 2,709 4,592 3,402 4,321 6,379 4,094 4,005



2002 (mil. dol.) 1,219,759 19,565 3,232 20,490 12,098 138,572 13,633 16,245 3,410 3,202 76,619 30,377 4,468 4,692 49,067 23,738 12,160 10,532 18,481 20,525 6,193 20,157 31,989 42,861 19,365 13,225 24,993 3,570 6,687 7,230 4,711 40,123 7,450 112,278 34,148 2,535 50,679 14,418 14,939 63,454 5,632 17,417 2,921 25,734 73,433 6,001 2,681 23,951 25,196 10,900 21,902 1,879



2000 (mil. dol.) 1,018,106 16,643 2,966 15,959 10,006 114,559 11,169 14,086 2,857 2,709 64,208 23,696 3,844 3,804 41,726 20,081 10,046 8,908 15,778 16,582 5,307 16,981 26,471 36,675 15,748 10,803 20,904 3,127 5,694 5,588 3,918 33,092 6,014 95,735 28,108 2,322 43,149 11,999 12,243 54,928 4,748 14,340 2,490 21,864 59,911 4,962 2,245 19,916 20,817 8,894 17,902 1,583



Medical payments 548,986 8,287 1,244 9,222 4,986 63,463 5,734 7,420 1,526 1,821 34,919 12,683 1,685 1,794 21,102 9,447 4,684 4,133 7,587 9,583 3,118 10,061 15,713 18,097 8,907 6,034 11,411 1,260 2,850 2,893 1,914 18,354 3,435 62,713 14,477 1,004 22,071 5,887 5,255 29,259 2,687 7,246 1,181 12,052 33,521 2,286 1,247 9,359 9,683 4,110 8,856 724



Veterans benefits 31,916 739 117 743 522 2,694 563 259 83 116 2,441 1,096 170 177 748 480 257 292 536 575 294 551 693 695 488 415 631 154 254 275 173 592 367 1,385 1,189 79 1,011 777 507 1,205 133 618 125 754 2,715 169 84 1,030 975 387 515 66



Other3 3,426 14 691 177 11 188 35 32 5 19 56 34 4 10 51 16 13 12 9 12 6 36 49 23 20 16 28 13 4 21 6 301 98 732 24 24 43 24 24 45 7 27 50 24 216 42 2 48 47 9 22 4



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . .

1 2



. . . . . .



Based on estimated resident population as of July 1. Excludes veterans. Consists largely of federal fellowship payments (National Science Foundation, fellowships and traineeships, subsistence payments to state maritime academy cadets, and other federal fellowships), interest subsidy on higher education loans, basic educational opportunity grants, and Job Corps payments. 3 Consists largely of Bureau of Indian Affairs payments, education exchange payments, Alaska Permanent Fund dividend payments, compensation of survivors of public safety officers, compensation of victims of crime, disaster relief payments, compensation for Japanese internment, and other special payments to individuals. Survey, Census, or Data Collection Method: Based on the Regional Economic Information System. For more information, see ‘‘State Personal Income Methodologies’’ at . Source: U.S. Bureau of Economic Analysis, ‘‘Regional Accounts Data, Annual State Personal Income’’; see Internet site (accessed 3 May 2005).



112



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A-83. States — Medicare, Medicaid, and State Children’s Health Insurance



Program

Medicaid Geographic area Medicare enrollment (1,000) Enrollment1 (1,000) 2000

5



State Children’s Health Insurance Program (SCHIP) Payments2 (mil. dol.) Enrollment3 (1,000) 2000 168,443 2,393 473 2,112 1,543 17,105 1,809 2,839 529 793 7,433 3,624 600 594 7,807 2,977 1,477 1,227 2,921 2,632 1,310 3,003 5,413 4,881 3,280 1,808 3,274 422 960 516 651 4,714 1,249 26,148 4,834 358 7,115 1,604 1,714 6,366 1,070 2,765 402 3,491 9,277 960 480 2,479 2,435 1,394 2,968 215 2004 6,059 79 19 88 (NA) 1,036 57 21 10 6 420 280 19 17 234 81 41 44 95 106 29 111 167 (NA) 5 83 176 15 33 39 11 127 21 827 174 5 220 101 47 177 26 76 13 (NA) 651 39 7 100 17 37 68 6 2000 3,357 38 13 60 2 484 35 20 4 2 227 121 (Z) 12 63 44 20 26 56 50 23 93 113 55 (Z) 12 73 8 11 16 4 89 8 769 104 3 118 58 37 120 12 60 6 15 131 25 4 38 3 22 47 3 Expenditures4 (mil. dol.) 2004 4,600.7 19.4 72.8 258.9 28.5 661.6 37.6 17.2 5.3 7.2 176.5 215.0 10.5 14.4 309.8 65.4 37.3 39.6 71.5 94.4 25.2 106.4 119.1 159.5 72.7 101.9 80.2 14.3 35.3 20.6 7.3 221.9 21.4 296.9 166.2 6.9 167.1 46.1 25.3 126.6 25.2 50.8 10.9 4.5 282.5 28.0 3.2 63.0 39.7 30.8 93.7 5.2 2000 1,928.8 31.9 18.1 29.4 1.5 187.3 13.9 12.8 1.5 5.8 125.7 48.7 0.4 7.5 32.7 53.7 15.5 12.8 60.0 25.3 11.4 92.2 44.2 36.2 (Z) 21.1 41.2 4.3 6.1 9.0 1.6 46.9 3.4 401.0 65.5 1.8 53.1 51.3 12.5 70.7 10.4 46.6 3.1 41.7 41.4 12.8 1.4 18.6 0.6 9.7 21.4 1.0



2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

5



2002

5



2001

5



2002 49,755 765 110 878 579 9,301 426 479 167 193 2,676 1,637 200 176 1,731 849 353 289 808 899 276 693 1,066 1,450 621 712 1,036 104 256 202 104 954 799 3,921 1,355 70 1,656 631 621 1,627 199 809 118 1,732 2,953 275 154 665 1,039 362 716 59



2000 42,887 619 96 681 489 7,918 381 420 115 139 2,373 1,369 194 131 1,519 706 314 263 764 761 194 626 1,060 1,352 558 605 890 104 229 138 97 822 376 3,420 1,214 63 1,305 507 558 1,492 179 689 102 1,568 2,633 225 139 627 896 342 577 46



2002 213,491 3,204 687 2,882 2,015 23,636 2,166 3,245 651 1,027 9,827 4,796 695 792 9,122 3,725 1,856 1,501 3,459 3,234 1,717 3,662 6,387 5,919 4,439 2,500 4,072 533 1,255 724 746 5,497 1,797 31,489 6,041 423 9,186 2,238 2,136 8,524 1,251 3,383 504 4,748 11,121 1,216 607 3,018 4,373 1,578 3,606 280



40,173 719 48 729 453 4,078 493 522 119 74 2,921 974 175 178 1,661 878 482 394 648 620 227 674 966 1,445 676 437 884 142 257 274 180 1,220 250 2,763 1,205 103 1,727 521 513 2,110 172 606 122 872 2,390 220 93 946 775 347 804 69



39,594 706 46 708 446 4,009 484 518 116 74 2,876 951 171 173 1,646 865 479 392 637 612 223 664 963 1,426 667 429 874 140 256 261 176 1,213 244 2,747 1,178 103 1,713 515 504 2,101 172 592 121 855 2,338 215 91 927 759 343 794 67



39,149 695 44 691 442 3,955 476 516 114 75 2,838 933 168 169 1,640 858 478 391 630 605 219 655 961 1,414 660 423 867 138 255 251 173 1,208 238 2,729 1,155 103 1,705 511 496 2,095 172 580 120 842 2,300 210 90 910 746 340 787 66



38,762 685 42 675 439 3,901 467 515 112 75 2,804 916 165 165 1,635 852 477 390 623 602 216 645 961 1,403 654 419 861 137 254 240 170 1,203 234 2,715 1,133 103 1,701 508 489 2,095 172 568 119 829 2,265 206 89 893 736 338 783 65



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



NA Not available.

1



Z Less than 500 or $50,000.



Persons who had payments made on their behalf at any time during the fiscal year. 2 Payments are for fiscal year and reflect federal and state hospital share payments. Data exclude disproportionate hospital share payments. Disproportionate share hospitals receive higher Medicaid reimbursement than other hospitals because they treat a disproportionate share of Medicaid patients. 3 Number of children ever enrolled in SCHIP. 4 Expenditures for which states are entitled to federal reimbursement under Title XXI and that reconcile any advance of Title XXI federal funds made on the basis of estimates. 5 Includes enrollees from unknown areas. Survey, Census, or Data Collection Method: Medicare—For information, see Internet site ; Medicaid—Based on the Medicaid Statistical Information System (MSIS) and CMS-64 reports; for information, see Internet site ; SCHIP—Based on the SCHIP Statistical Enrollment Data System (SEDS); for information, see Internet site . Sources: Medicare enrollment—U.S. Centers for Medicare and Medicaid Services, ‘‘Medicare Beneficiaries Enrolled by State as of July 1, 1999–2003,’’ published September 2004, see Internet site ; Medicaid—U.S. Centers for Medicare and Medicaid Services, Medicaid Statistical Information System, MSIS, see Internet site ; SCHIP—U.S. Centers for Medicare and Medicaid Services, The State Children’s Health Insurance Program, Annual Enrollment Report and the Statement of Expenditures for the SCHIP Program (CMS-21), see Internet site .



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113



Table A-84. States — Department of Defense and Veterans

Department of Defense Personnel Geographic area Total 2004 Reserve and National Guard Selected major location Total Expenditures (mil. dol.) 2004 Number of veterans1 (1,000)



2004 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,763,823 63,343 27,602 49,449 24,650 275,224 59,765 14,953 11,145 36,114 126,646 134,260 62,972 12,907 73,975 33,217 17,232 37,043 59,239 49,925 14,963 84,006 28,534 33,558 25,976 43,017 51,539 10,838 20,032 17,716 6,305 41,765 26,187 77,597 147,045 14,914 66,744 64,530 17,509 73,173 12,593 70,084 10,621 31,773 225,246 33,875 5,160 205,602 88,312 12,898 24,137 7,913



2000 2,791,331 63,333 25,986 48,126 25,015 263,173 61,230 17,712 10,941 35,171 127,677 133,663 62,111 12,489 84,045 36,929 18,556 37,255 60,709 50,968 14,918 87,002 33,039 36,976 25,948 42,834 53,743 10,654 20,120 16,118 6,809 44,016 26,303 79,443 137,176 14,474 71,679 66,529 18,447 78,642 13,683 73,865 10,451 37,243 228,790 31,556 5,509 198,095 84,071 13,937 26,331 7,841



Active duty military 1,055,314 10,276 17,385 22,793 5,257 128,277 29,790 3,467 3,949 12,266 52,300 67,642 35,061 4,619 26,650 988 364 16,294 35,162 17,380 2,350 29,531 2,468 1,140 667 14,483 15,302 3,789 7,332 9,251 218 6,392 11,994 22,714 101,033 7,840 7,211 23,476 667 2,837 2,336 38,213 3,698 2,430 109,760 5,756 60 90,088 37,906 503 502 3,447



Civilian 634,185 21,155 4,536 9,002 3,933 58,062 10,345 2,452 1,448 15,174 27,076 30,623 16,576 1,532 13,111 9,088 1,522 6,048 8,314 7,093 6,290 31,611 6,707 8,110 2,544 9,088 9,208 1,274 3,769 2,089 1,059 13,628 6,805 11,409 16,942 1,706 21,704 21,860 3,276 25,079 4,370 9,382 1,161 5,390 39,385 14,715 613 78,792 23,433 1,810 2,847 1,039



2004 345,891 9,172 2,581 11,200 1,658 43,277 6,226 9,719 628 5,535 17,803 10,587 5,135 751 6,099 4,521 1,245 2,967 6,568 4,498 2,393 14,368 8,208 3,973 2,108 3,740 8,662 645 1,349 1,621 1,123 6,117 2,551 7,825 8,865 841 7,600 4,533 1,346 9,269 1,052 4,950 650 3,765 32,253 3,451 603 39,604 8,677 728 2,434 418



2000 229,072 5,704 1,750 6,598 1,146 29,821 4,638 2,745 436 3,176 13,454 8,642 3,731 632 4,018 2,591 905 2,044 2,779 3,386 1,366 8,786 5,713 2,418 1,943 2,993 6,123 392 907 1,106 693 4,514 1,777 5,721 5,901 549 5,300 3,810 857 6,311 939 3,538 360 2,273 20,901 2,023 348 25,106 6,271 361 1,253 326



Payroll 139,490 3,284 1,282 2,678 1,128 15,017 3,025 717 417 1,983 9,334 6,633 3,374 535 3,025 1,299 481 1,529 2,432 1,871 805 4,999 1,103 1,241 708 1,828 2,112 404 925 1,168 384 1,860 1,447 2,443 6,569 498 2,894 2,976 805 2,912 621 3,306 397 1,614 11,082 1,548 140 15,992 5,301 411 648 302



Contracts 203,389 5,849 1,262 8,430 494 27,875 3,151 8,959 194 3,515 8,386 3,905 1,714 187 3,004 3,173 734 1,412 4,119 2,544 1,556 9,206 6,961 2,612 1,337 1,867 6,502 207 401 439 716 4,196 1,071 5,244 2,213 310 4,637 1,524 530 6,203 418 1,599 236 2,116 21,044 1,878 452 23,543 3,325 280 1,746 115



Grants 3,012 39 38 91 37 384 49 43 17 36 83 48 47 29 69 49 31 26 18 82 32 162 144 120 63 45 48 34 23 14 23 61 33 139 82 33 69 33 11 154 13 45 17 35 127 25 11 69 51 38 41 1



2004 24,523 426 67 555 268 2,311 428 269 81 37 1,788 760 107 133 897 551 266 246 360 367 144 486 491 837 427 240 555 103 159 244 131 583 180 1,172 767 55 1,052 355 367 1,146 91 414 73 541 1,682 151 58 751 633 188 475 55



2000 26,210 445 71 560 280 2,546 444 306 84 44 1,862 767 120 136 994 586 289 265 378 390 153 521 552 906 461 248 588 108 172 238 138 664 190 1,344 789 61 1,135 374 386 1,267 101 420 79 557 1,747 160 62 784 667 200 510 58



1,074,324 Fort Bragg, NC 31,912 5,681 17,654 15,460 88,885 19,630 9,034 5,748 8,674 47,270 35,995 11,335 6,756 34,214 23,141 15,346 14,701 15,763 25,452 6,323 22,864 19,359 24,308 22,765 19,446 27,029 5,775 8,931 6,376 5,028 21,745 7,388 43,474 29,070 5,368 37,829 19,194 13,566 45,257 5,887 22,489 5,762 23,953 76,101 13,404 4,487 36,722 26,973 10,585 20,788 3,427 Redstone Arsenal Elmendorf AFB Davis-Monthan AFB Little Rock AFB Camp Pendleton Fort Carson Groton Dover AFB Washington Jacksonville Fort Benning Schofield Barracks Mountain Home AFB Great Lakes Crane Des Moines Fort Riley Fort Campbell Fort Polk Kittery Fort Meade Hanscom AFB Warren St. Paul Keesler AFB Fort Leonard Wood Malmstrom AFB Offutt AFB Nellis AFB Hanover McGuire AFB Kirtland AFB Fort Drum Fort Bragg Minot AFB Wright Patterson AFB Tinker AFB Portland Philadelphia Newport Fort Jackson Ellsworth AFB Millington Fort Hood Hill AFB South Burlington Arlington Fort Lewis Huntington Milwaukee F.E. Warren AFB



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



1 Veterans serving in more than one period of service are counted only once in the total. Includes the Gulf War (no prior wartime service), Vietnam era (no prior wartime service), Korean conflict (no prior wartime service), World War II, and all peacetime periods.



Survey, Census, or Data Collection Method: Department of Defense—For information, see Internet site ; Veterans Affairs administrative data; for information, see Internet site .



Veterans—Based on the U.S. Department of



Sources: Department of Defense—U.S. Department of Defense, Atlas/Data Abstract for the United States and Selected Areas, annual, see Internet site ; Veterans—U.S. Department of Veterans Affairs, Office of Policy, Planning, and Preparedness; see Internet site .



114



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Table A-85. States — Elections

Popular vote for President Voting-age population1 (1,000) Percent of voting-age population casting votes for President Electoral votes cast for President2 Votes cast for U.S. Senators



2004 Percent of total Total3 (1,000) Democratic 48.1 36.8 35.5 44.4 44.5 54.3 47.0 54.3 53.3 89.2 47.1 41.4 54.0 30.3 54.8 39.3 49.2 36.6 39.7 42.2 53.6 56.0 61.6 51.2 51.1 40.2 46.1 38.6 32.7 47.9 50.2 52.9 49.0 56.1 43.6 35.5 48.7 34.4 51.3 50.9 59.4 40.9 38.4 42.5 38.2 26.0 58.9 45.5 52.8 43.2 49.7 29.0 Republican Total3 (1,000)



2000 Percent of total Democratic 48.4 41.6 27.7 44.7 45.9 53.4 42.4 55.9 55.0 85.2 48.8 43.0 55.8 27.6 54.6 41.0 48.5 37.2 41.4 44.9 49.1 56.5 59.8 51.3 47.9 40.7 47.1 33.4 33.3 46.0 46.8 56.1 47.9 60.2 43.2 33.1 46.4 38.4 47.0 50.6 61.0 40.9 37.6 47.3 38.0 26.3 50.6 44.4 50.2 45.6 47.8 27.7 Republican 47.9 56.5 58.6 51.0 51.3 41.7 50.8 38.4 41.9 9.0 48.8 54.7 37.5 67.2 42.6 56.6 48.2 58.0 56.5 52.6 44.0 40.3 32.5 46.1 45.5 57.6 50.4 58.4 62.2 49.5 48.1 40.3 47.8 35.2 56.0 60.7 50.0 60.3 46.5 46.4 31.9 56.8 60.3 51.1 59.3 66.8 40.7 52.5 44.6 51.9 47.6 67.8 Total3 (1,000) 86,969 1,839 308 1,962 1,039 12,053 2,107 1,425 (X) (X) 7,430 3,221 415 504 5,142 2,428 1,479 1,129 1,724 1,848 (X) 2,322 (X) (X) (X) (X) 2,706 (X) (X) 810 657 (X) (X) 7,448 3,472 311 5,426 1,447 1,781 5,559 (X) 1,597 391 (X) (X) 912 307 (X) 2,819 (X) 2,950 (X)



2004 Percent of total Democratic 50.2 32.4 45.5 20.6 55.9 57.7 51.3 66.4 (X) (X) 48.3 40.0 75.5 (X) 70.0 61.6 27.9 27.5 49.3 47.5 (X) 64.8 (X) (X) (X) (X) 42.8 (X) (X) 61.1 33.7 (X) (X) 58.9 47.0 68.3 36.1 41.2 63.4 42.0 (X) 44.1 49.4 (X) (X) 28.4 70.6 (X) 55.0 (X) 55.4 (X) Republican 45.9 67.5 48.6 76.7 44.1 37.8 46.5 32.1 (X) (X) 49.4 57.9 21.0 99.2 27.0 37.2 70.2 69.2 50.7 51.0 (X) 33.7 (X) (X) (X) (X) 56.1 (X) (X) 35.1 66.2 (X) (X) 21.8 51.6 31.7 63.8 52.8 31.7 52.6 (X) 53.7 50.6 (X) (X) 68.7 24.5 (X) 42.7 (X) 44.1 (X) Total3 (1,000) 44,265 1,353 230 (X) 804 (X) 1,416 (X) 232 (X) (X) 2,032 (X) 409 3,487 (X) 1,023 767 1,131 2,482 505 (X) 2,007 3,129 2,255 630 1,878 327 480 (X) 447 2,113 483 (X) 2,331 (X) (X) 1,018 1,267 (X) 324 1,103 338 1,642 4,514 (X) (X) 1,489 (X) 436 (X) 183



2002 Percent of total Democratic 46.2 39.8 10.5 (X) 53.9 (X) 45.8 (X) 58.2 (X) (X) 45.9 (X) 32.5 60.3 (X) 54.2 (NA) 35.3 49.8 41.6 (X) 80.0 60.6 47.8 (NA) 48.7 62.7 14.6 (X) 46.4 53.9 35.0 (X) 45.0 (X) (X) 36.3 39.6 (X) 78.4 44.2 49.6 44.3 43.3 (X) (X) (NA) (X) 63.1 (X) 27.0 Republican 50.1 58.6 78.2 (X) 46.1 (X) 50.7 (X) 40.8 (X) (X) 52.7 (X) 65.2 38.0 (X) 43.8 83.6 64.7 49.5 58.4 (X) (NA) 37.9 49.5 84.6 49.8 31.7 82.8 (X) 50.8 43.9 65.0 (X) 53.6 (X) (X) 57.3 56.2 (X) 21.6 54.4 49.5 54.3 55.3 (X) (X) 82.6 (X) 36.9 (X) 73.0



Geographic area



2004



2000



2004 55.5 54.8 66.9 48.0 50.8 47.2 62.2 59.2 58.9 51.3 56.8 50.8 44.5 58.6 55.7 53.2 66.3 57.9 56.7 58.0 71.6 57.3 59.1 63.8 73.3 52.9 62.5 62.7 59.3 47.9 68.2 55.2 53.6 50.8 54.5 63.1 64.8 55.0 67.0 60.3 52.2 51.0 66.9 54.0 45.7 56.3 64.2 56.5 60.6 52.8 71.3 62.6



2000 50.2 50.0 65.3 40.4 46.1 44.3 54.1 56.8 55.3 44.2 48.2 42.9 40.1 53.9 51.6 48.7 59.8 54.1 50.5 54.3 66.7 51.1 55.6 57.5 66.8 47.9 56.4 60.9 55.1 40.6 61.1 50.3 45.5 47.7 47.7 59.8 55.4 48.1 59.4 52.4 50.9 45.9 57.1 48.2 42.6 50.6 63.5 51.1 56.6 46.1 64.8 59.6



2004 R-286 R-9 R-3 R-10 R-6 D-55 R-9 D-7 D-3 D-3 R-27 R-15 D-4 R-4 D-21 R-11 R-7 R-6 R-8 R-9 D-4 D-10 D-12 D-17 D-9 R-6 R-11 R-3 R-5 R-5 D-4 D-15 R-5 D-31 R-15 R-3 R-20 R-7 D-7 D-21 D-4 R-8 R-3 R-11 R-34 R-5 D-3 R-13 D-11 R-5 D-10 R-3



20004



United States . . . 220,377 209,831 Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,436 467 4,197 2,076 26,297 3,423 2,665 637 444 13,394 6,497 964 1,021 9,475 4,637 2,274 2,052 3,166 3,351 1,035 4,163 4,952 7,579 3,861 2,153 4,370 719 1,313 1,731 995 6,543 1,411 14,655 6,423 495 8,680 2,664 2,742 9,569 837 3,173 580 4,510 16,223 1,649 487 5,655 4,718 1,431 4,201 390 3,330 437 3,788 1,998 24,728 3,219 2,570 592 456 12,383 6,050 917 930 9,192 4,515 2,198 1,981 3,055 3,253 978 3,953 4,864 7,362 3,650 2,076 4,182 675 1,264 1,500 931 6,342 1,315 14,314 6,104 482 8,480 2,565 2,583 9,371 803 3,014 554 4,305 15,040 1,522 464 5,361 4,398 1,407 4,010 366



R-271 122,349 R-9 R-3 R-8 R-6 D-54 R-8 D-8 D-3 D-2 R-25 R-13 D-4 R-4 D-22 R-12 D-7 R-6 R-8 R-9 D-4 D-10 D-12 D-18 D-10 R-7 R-11 R-3 R-5 R-4 R-4 D-15 D-5 D-33 R-14 R-3 R-21 R-8 D-7 D-23 D-4 R-8 R-3 R-11 R-32 R-5 D-3 R-13 D-11 R-5 D-11 R-3 1,883 313 2,013 1,055 12,421 2,130 1,579 375 228 7,610 3,302 429 598 5,274 2,468 1,507 1,188 1,796 1,943 741 2,384 2,927 4,839 2,828 1,140 2,731 450 778 830 678 3,612 756 7,448 3,501 313 5,628 1,464 1,837 5,770 437 1,618 388 2,437 7,411 928 312 3,195 2,859 756 2,997 244



50.6 105,397 62.5 61.1 54.9 54.3 44.4 51.7 43.9 45.8 9.3 52.1 58.0 45.3 68.4 44.5 59.9 49.9 62.0 59.5 56.7 44.6 43.0 36.6 47.8 47.6 59.0 53.3 59.1 65.9 50.5 48.8 46.2 49.8 37.7 56.0 62.9 50.8 65.6 47.2 48.4 38.7 58.0 59.9 56.8 61.1 71.5 38.8 53.7 45.6 56.1 49.3 68.7 1,666 286 1,532 922 10,966 1,741 1,460 328 202 5,963 2,597 368 502 4,742 2,199 1,316 1,072 1,544 1,766 652 2,020 2,703 4,233 2,439 994 2,360 411 697 609 569 3,187 599 6,822 2,911 288 4,702 1,234 1,534 4,913 409 1,383 316 2,076 6,408 771 294 2,739 2,487 648 2,599 218



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



NA Not available.

1 2 3



X Not applicable.



Estimated population, 18 years and over. Excludes states without registration. Includes armed forces stationed in each state, aliens, and institutionalized population. By major political party. D=Democratic, R=Republican. Includes other parties not shown separately. 4 Excludes one electoral vote left blank by a Democratic elector in the District of Columbia. Survey, Census, or Data Collection Method: Voting-age population—Based on the Census of Population and Housing; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Percent of voting-age population voting for President—For information on 2004 data, see Internet site . For information on 2000 data, see Internet site ; Votes—For information through 2002, see Internet site . For electoral votes 2004, see Internet site . For popular vote and votes for U.S. Senators 2004, see Internet site . Sources: Voting-age population—U.S. Census Bureau, ‘‘Annual Estimates of the Population by Selected Age Groups and Sex for the United States: April 1, 2000 to July 1, 2004’’ (NC-EST200402); also see ; Percent of voting-age population voting for President—For 2004 data, U.S. Congress, Clerk of the House, Statistics of the Presidential and Congressional Election, biennial; for 2000 data, CQ Press, Washington, DC, America Votes, biennial (copyright; printed with permission of CQ Press); Electoral votes, votes for President, and votes for Senators—Through 2002, CQ Press, Washington, DC, America Votes, biennial (copyright; printed with permission of CQ Press). For electoral votes 2004, U.S. Federal Elections Commission, Federal Elections 2004, May 2005. For popular vote and votes for U.S. Senators 2004, Office of the Clerk, Statistics of the Presidential and Congressional Election, June 7, 2005.



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115



Table A-86. States — Composition of Congress

Votes cast for U.S. Representatives1 2004 Geographic area Percent of total Total (1,000) United States . . . Alabama . Alaska . . . Arizona . . Arkansas8 California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

7



Composition of 109th Congress, 20052 Senate4 House of Representatives5, 6



Composition of 108th Congress, 20033 Senate4 House of Representatives5



2002 Percent of total Total (1,000)

7



Democratic 46.6 39.5 53.9 31.9 53.9 53.5 48.8 55.0 29.7 (X) 39.3 38.5 62.9 29.9 53.6 41.3 42.8 33.5 36.8 38.0 58.9 58.2 70.4 48.4 51.4 30.0 44.7 32.8 30.2 42.2 37.4 52.4 51.8 46.4 48.9 59.6 48.5 28.3 53.7 48.1 69.5 33.8 53.4 46.5 39.0 39.8 7.1 34.1 58.9 57.6 48.5 41.8



Republican 49.2 60.2 45.2 60.3 45.2 43.3 48.6 44.1 69.1 (X) 59.0 61.5 35.6 70.1 45.5 57.2 56.4 62.6 62.2 62.0 39.9 39.8 14.9 49.4 45.4 59.0 53.6 64.4 67.3 53.2 60.8 46.1 48.2 29.7 51.1 40.4 51.1 63.7 43.0 49.8 28.1 63.5 45.9 52.3 57.7 57.3 24.4 60.5 40.1 42.0 48.9 55.2



Democratic 45.9 40.0 17.3 39.5 57.0 51.4 42.2 51.5 26.7 (X) 40.8 42.4 64.5 34.1 50.8 42.1 44.8 31.3 32.1 33.8 58.5 54.4 83.0 49.3 49.9 47.2 44.7 32.7 9.9 34.2 39.7 51.4 59.9 46.3 43.3 52.4 42.2 39.1 54.6 40.7 68.3 35.1 45.6 46.3 43.9 39.7 (X) 29.0 52.2 66.0 41.3 36.2



Republican 50.5 54.7 74.5 57.1 41.2 44.4 53.9 47.1 72.1 (X) 57.4 57.6 32.4 63.3 48.3 55.3 54.0 64.6 63.4 59.9 41.5 45.3 15.8 48.2 46.8 50.0 53.2 64.6 81.6 60.2 57.5 46.6 40.1 40.0 53.9 47.6 56.2 54.6 42.7 56.2 29.5 57.8 53.4 50.4 53.3 57.8 32.3 66.5 44.8 33.9 54.3 60.5



Democratic 44 – – – 2 2 1 2 2 (X) 1 – 2 – 2 1 1 – – 1 – 2 2 2 1 – – 1 1 1 – 2 1 2 – 2 – – 1 – 1 – 1 – – – 1 – 2 2 2 –



Republican 55 2 2 2 – – 1 – – (X) 1 2 – 2 – 1 1 2 2 1 2 – – – 1 2 2 1 1 1 2 – 1 – 2 – 2 2 1 2 1 2 1 2 2 2 – 2 – – – 2



Democratic 202 2 – 2 3 33 3 2 – (X) 7 6 2 – 10 2 1 1 1 2 2 6 10 6 4 2 4 – – 1 – 7 1 20 6 1 6 1 4 7 2 2 1 5 11 1 – 3 6 2 4 –



Republican 231 5 1 6 1 20 4 3 1 (X) 18 7 – 2 9 7 4 3 5 5 – 2 – 9 4 2 5 1 3 2 2 6 2 9 7 – 11 4 1 12 – 4 – 4 21 2 – 8 3 1 4 1



Democratic 48 – – – 2 2 – 2 2 (X) 2 1 2 – 1 1 1 – – 2 – 2 2 2 1 – – 1 1 1 – 2 1 2 1 2 – – 1 – 1 1 2 – – – 1 – 2 2 2 –



Republican 51 2 2 2 – – 2 – – (X) – 1 – 2 1 1 1 2 2 – 2 – – – 1 2 2 1 1 1 2 – 1 – 1 – 2 2 1 2 1 1 – 2 2 2 – 2 – – – 2



Democratic 205 2 – 2 3 33 2 2 – (X) 7 5 2 – 9 3 1 1 1 3 2 6 10 6 4 2 4 – – 1 – 7 1 19 6 1 6 1 4 7 2 2 – 5 17 1 – 3 6 2 4 –



Republican 229 5 1 6 1 20 5 3 1 (X) 18 8 – 2 10 6 4 3 5 4 – 2 – 9 4 2 5 1 3 2 2 6 2 10 7 – 12 4 1 12 – 4 1 4 15 2 – 8 3 1 4 1



113,192 1,793 791 1,871 791 11,624 2,039 1,429 356 (X) 5,627 2,961 417 572 4,989 2,416 1,458 1,156 1,635 1,259 710 2,254 2,927 4,631 2,722 1,116 2,667 444 765 791 652 3,285 743 7,448 3,413 311 5,184 1,375 1,772 5,151 402 1,439 389 2,219 6,959 909 305 3,004 2,730 722 2,822 239 X Not applicable.



73,845 1,269 228 1,194 688 7,258 1,397 989 228 (X) 3,767 1,919 360 405 3,429 1,521 1,013 830 1,094 1,325 495 1,662 1,841 3,056 2,202 678 1,854 331 474 500 443 2,006 438 3,822 2,244 231 3,158 1,002 1,240 3,310 329 985 337 1,529 4,295 557 225 1,516 1,739 400 1,638 182



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida8 . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana8 Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



– Represents zero.

1



In each state, totals represent the sum of votes cast in each Congressional District or votes cast for Representative at Large in states where only one member is elected. In all years, there are numerous districts within the state where either the Republican or Democratic party had no candidate. In some states, the Republican and Democratic vote includes votes cast for the party candidate by endorsing parties. 2 As of June 28, 2005. 3 Vermont had one Independent Senator. 4 As of January 3. 5 Vermont had one Independent Representative. 6 Vacancy due to the resignation of Rob Portman (OH) April 29, 2005. 7 Includes vote cast for minor parties not shown separately. 8 State law does not require tabulation of votes for unopposed candidates. Survey, Census, or Data Collection Method: Votes—For information on 2002 data, see Internet site . For information on 2004 data, see Internet site ; Composition of Congress—For information, see Internet site . Sources: Votes—For 2002 data, CQ Press, Washington, DC, America Votes, biennial (copyright; printed with permission of CQ Press). For 2004 data, Office of the Clerk, Statistics of the Presidential and Congressional Election, June 7, 2005; Composition of Congress—Office of the Clerk, Official List of Members by State, annual. See also .



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Table A-87. States — Composition of Governors and State Legislatures

Votes cast for Governor1 Composition of state legislatures,2 2005



Geographic area Candidate elected at most recent election United States . . . (X) Alabama12 . Alaska13 . . . Arizona14 . . Arkansas13 . California13 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Bob Riley Frank H. Murkowski Janet Napolitano Mike Huckabee Arnold Schwarzenegger 16 Bill Owens John G. Rowland Ruth Ann Minner (X) Jeb Bush Sonny Perdue Linda Lingle Dirk Kempthorne Rod R. Blagojevich Mitch Daniels Tom Vilsack Kathleen Sebelius Ernie Fletcher Kathleen Babineaux Blanco John Baldacci Robert L. Ehrlich Jr. Mitt Romney Jennifer M. Granholm Tim Pawlenty Haley Barbour Matt Blunt Brian Schweitzer Mike Johanns Kenny Guinn John Lynch James E. McGreevey Bill Richardson George E. Pataki Michael F. Easley John Hoeven Bob Taft Brad Henry Theodore R. Kulongoski Edward G. Rendell Donald L. Carcieri Mark Sanford Mike Rounds Phil Bredesen Rick Perry Jon Huntsman, Jr. Jim Douglas Mark Warner Christine Gregoire Joe Manchin III James E. Doyle Dave Freudenthal



2004 Percent for leading party (X) (X) (X) (X) (X) R-48.6 (X) (X) D-50.9 (X) (X) (X) (X) (X) (X) R-53.2 (X) (X) R-55.0 D-51.9 (X) (X) (X) (X) (X) R-52.6 R-50.8 D-50.4 (X) (X) D-51.0 (X) (X) (X) D-55.6 R-71.3 (X) (X) (X) (X) (X) (X) (X) (X) (X) R-57.7 R-58.7 (X) D-48.9 D-63.5 (X) (X)



2002 Percent for leading party (X) R-49.2 R-55.8 D-46.2 R-53.0 D-47.3 R-62.6 R-56.1 (X) (X) R-56.0 R-51.4 R-51.6 R-56.3 D-52.2 (X) D-52.7 D-52.9 R-55.0 D-51.9 D-47.1 R-51.6 R-49.8 D-51.4 R-44.4 D-52.6 (X) (X) R-68.7 R-68.2 R-58.6 D-56.4 D-55.5 R-49.4 (X) (X) R-57.8 D-43.3 D-49.0 D-53.4 R-54.7 R-52.8 R-56.8 D-50.6 R-57.8 (X) R-44.9 D-52.2 (X) (X) D-45.1 D-50.0



Lower House5



Upper House6



Totals7 (X) (X) (X) (X) (X) 8,658 (X) (X) 365 (X) (X) (X) (X) (X) (X) 2,448 (X) (X) 1,083 1,408 (X) (X) (X) (X) (X) 894 2,720 446 (X) (X) 667 (X) (X) (X) 3,487 310 (X) (X) (X) (X) (X) (X) (X) (X) (X) 920 309 (X) 2,810 744 (X) (X)



Totals7 (X) 1,367 231 1,226 806 7,476 1,413 1,023 (X) (X) 5,101 2,027 382 411 3,539 (X) 1,026 836



Democratic 2,704 62 14 22 72 48 35 99 15 (X) 36 80 41 13 65 48 49 42 57 67 76 98 136 52 66 75 66 49 (19) 26 147 47 42 104 63 27 40 44 27 93 60 50 19 53 63 19 83 38 55 68 39 14



Republican 2,683 40 26 38 28 32 30 52 25 (X) 84 99 10 57 53 52 51 83 43 37 73 43 21 58 68 47 97 50 (19) 16 250 33 28 46 57 67 59 57 33 110 15 74 51 46 87 56 60 60 43 32 60 46



Democratic 951 25 8 12 27 25 18 24 13 (X) 14 22 20 7 31 17 25 10 15 24 19 33 34 16 35 28 10 27 (19) 9 8 22 24 28 29 15 11 26 18 18 33 20 10 16 12 8 21 16 26 21 14 7



Republican 963 10 12 18 8 15 17 12 8 (X) 26 34 5 28 27 33 25 30 22 15 16 14 6 22 31 24 22 23 (19) 12 16 18 18 34 21 32 22 22 12 29 5 26 25 17 19 21 9 24 23 13 19 23



Colorado13 . . . . . . Connecticut14 . . . . Delaware13 . . . . . . District of Columbia Florida13. . . . . . . . Georgia14 . Hawaii13 . . Idaho14 . . Illinois15 . . Indiana13 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa13 . . . . Kansas13 . . Kentucky13 . Louisiana12 . Maine14 . . .

12



18 1,083 18



1,407 505



Maryland . . . . Massachusetts14 Michigan13 . . . . Minnesota13 . . . Mississippi12 . . .



1,706 2,194 3,178 2,252 18 894 (X) (X) 481 504 443 2,227 484 4,579 (X) (X) 3,229 1,036 1,260 3,583 333 1,108 335 1,653 4,554 (X) 230 1,887 (X) (X) 1,775 185



Missouri13. . . . . . Montana13 . . . . . Nebraska . . . . . . Nevada13 . . . . . . New Hampshire14 New Jersey13 . . New Mexico13 . . New York14 . . . . North Carolina14 North Dakota12 . Ohio13 . . . . . . Oklahoma13 . . Oregon13 . . . . Pennsylvania13 Rhode Island14 . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina13 South Dakota14 . Tennessee13 . . . Texas13 . . . . . . Utah13 . . . . . . . Vermont14 . . . Virginia13 . . . . Washington13 . West Virginia13 Wisconsin13 . . Wyoming13 . . . . . . . . .



See footnotes at end of table.



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117



Table A-87. States — Composition of Governors and State Legislatures—Con.

Black elected officials, 20013 Geographic area U.S. and state legislatures9 633 36 1 1 15 10 4 14 4 17 2 25 53 – – 28 13 1 7 5 32 – 40 6 25 2 46 19 – 1 5 5 16 1 34 28 – 20 6 3 19 7 32 – 18 19 1 1 16 2 2 8 – State executives and legislators10 231 – – 15 – 28 8 5 1 – 16 3 1 1 11 1 – 2 – – – 4 4 1 1 – – – 1 3 1 5 50 15 2 – – – 3 1 3 1 – 1 38 – – – 3 – 1 1 Statewide elective executive office11 81 5 – 3 – – 2 4 3 (X) 1 3 1 1 2 3 2 3 1 1 – – 1 2 3 1 2 2 2 2 – – 3 1 4 2 2 4 1 2 – 1 – – 2 1 2 – 2 – 3 1 State legislature 1,659 14 12 25 22 36 34 55 18 (X) 40 51 21 27 50 27 32 46 15 24 50 64 50 35 55 22 42 37 9 18 117 19 34 48 36 23 28 19 26 36 23 16 17 23 35 22 56 20 52 25 37 16 Hispanic public officials, 2004 Women holding state public offices, 20043 Apportionment of membership in House of Representatives by state4



Total8 United States . . . Alabama12 . Alaska13 . . . Arizona14 . . Arkansas13 . California13 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,061 756 3 12 502 224 18 72 24 176 243 611 – 2 624 86 13 17 60 705 1 175 60 346 20 892 201 – 8 14 5 249 4 325 491 – 313 105 6 185 8 534 – 180 460 5 1 246 26 19 33 1 X Not applicable.



Total 4,651 – – 354 – 981 134 28 2 – 109 7 1 1 70 12 – 8 – 2 – 6 18 15 4 – 1 1 2 7 2 100 627 61 4 1 5 1 14 17 6 1 – 2 2,013 3 – 1 14 – 13 3



2000 435 7 1 8 4 53 7 5 1 (X) 25 13 2 2 19 9 5 4 6 7 2 8 10 15 8 4 9 1 3 3 2 13 3 29 13 1 18 5 5 19 2 6 1 9 32 3 1 11 9 3 8 1



1990 435 7 1 6 4 52 6 6 1 (X) 23 11 2 2 20 10 5 4 6 7 2 8 10 16 8 5 9 1 3 2 2 13 3 31 12 1 19 6 5 21 2 6 1 9 30 3 1 11 9 3 9 1



1980 435 7 1 5 4 45 6 6 1 (X) 19 10 2 2 22 10 6 5 7 8 2 8 11 18 8 5 9 2 3 2 2 14 3 34 11 1 21 6 5 23 2 6 1 9 27 3 1 10 8 4 9 1



Colorado13 . . . . . . Connecticut14 . . . . Delaware13 . . . . . . District of Columbia Florida13. . . . . . . . Georgia14 . Hawaii13 . . Idaho14 . . Illinois15 . . Indiana13 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa13 . . . . Kansas13 . . Kentucky13 . Louisiana12 . Maine14 . . .



Maryland12 . . . . Massachusetts14 Michigan13 . . . . Minnesota13 . . . Mississippi12 . . .



Missouri13. . . . . . Montana13 . . . . . Nebraska . . . . . . Nevada13 . . . . . . New Hampshire14 New Jersey13 . . New Mexico13 . . New York14 . . . . North Carolina14 North Dakota12 . Ohio13 . . . . . . Oklahoma13 . . Oregon13 . . . . Pennsylvania13 Rhode Island14 . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina13 South Dakota14 . Tennessee13 . . . Texas13 . . . . . . Utah13 . . . . . . . Vermont14 . . . Virginia13 . . . . Washington13 . West Virginia13 Wisconsin13 . . Wyoming13 . . . . . . . . .



– Represents zero.

1



D=Democratic, R=Republican. 2As of February 2005. Figures include immediate results of elections, including holdover members in state houses that do not have all of their members running for reelection. 3As of January of the year shown. 4Total membership includes representatives assigned to newly admitted states after the apportionment acts. Population figures used for apportionment purposes are those determined for states by each decennial census. 5In general, Lower House refers to body consisting of state representatives. 6In general, Upper House refers to body consisting of state senators. 7Includes minor party and scattered votes. 8Includes city and county offices, law enforcement, and education officials not shown separately. 9Includes elected state administrators. 10Includes U.S. Representatives. 11Excludes women elected to the judiciary, women appointed to state cabinet-level positions, women elected to executive posts by the legislature, and elected members of university Board of Trustees or Board of Education. 12Members of both houses of state legislatures serve 4-year terms. 13Members of the Upper House of state legislatures serve 4-year terms, and Lower House members serve 2-year terms. 14Members of both houses of state legislatures serve 2-year terms. 15Members serve 4- and 2-year terms, depending on the district. 16Recall election in 2003; Arnold Schwarzenegger (Republican) was elected Governor. 17Includes one shadow senator. 18Voting year 2003. 19Members serve 4-year term; Nebraska is the only state to have a nonpartisan legislature. Survey, Census, or Data Collection Method: Votes for Governor—For information, see Internet site ; Composition of state legislatures—For information, see Internet site ; Black officials—For information, see Internet site ; Hispanic officials—For information, see Internet site ; Women holding offices—For information, see Internet site ; Apportionment—Based on the decennial census; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site . Sources: Votes for Governor—CQ Press, Washington, DC, America Votes, biennial (copyright; printed with permission of CQ Press); Composition of state legislatures—The Council of State Governments, Lexington, KY, State Elective Officials and the Legislatures, annual (copyright); Black officials—Joint Center for Political and Economic Studies, Washington, DC, Black Elected Officials: A Statistical Summary, annual (copyright) and (accessed 17 April 2003); Hispanic officials—National Association of Latino Elected and Appointed Officials (NALEO) Educational Fund, Los Angeles, CA, National Directory of Latino Elected Officials, formerly published as National Roster of Hispanic Elected Officials, annual; Women holding offices—Center for American Women and Politics, Eagleton Institute of Politics, Rutgers University, New Brunswick, NJ, information releases (copyright); Apportionment—U.S. Census Bureau, Congressional Apportionment, Census 2000 Brief, C2KBR/01-7, issued July 2001; see also .



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Metropolitan Areas

Page

Note: Table B covers 361 metropolitan statistical areas and 11 metropolitan statistical areas with 29 metropolitan divisions defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . For additional information, see Appendix C, Geographic Concepts and Codes.



Table B



120 126 132 138 144 150 156 162 168 174 180



Area and Population Components of Population Change Population by Age, Race, and Sex Population Characteristics 2000 Census Births, Deaths, Infant Deaths Physicians, Community Hospitals, Medicare, Social Security, and SSI Housing Units and Building Permits Personal Income and Earnings by Industry Labor Force and Private Business Establishments and Employment Banking, Retail Trade, and Accommodation and Food Services Government



You may visit us on the Web at http://www.census.gov/compendia/smadb



Table B



Metropolitan Areas



Table B-1. Metropolitan Areas — Area and Population

Area, 2000 (square miles) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total Abilene, TX. . . . . . . . . . . . . Akron, OH . . . . . . . . . . . . . Albany, GA . . . . . . . . . . . . . Albany-Schenectady-Troy, NY Albuquerque, NM. . . . . . . . . Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,757.6 927.2 1,958.0 2,878.3 9,297.0 2,026.5 1,475.7 527.1 3,682.3 573.7 27,220.9 452.9 757.5 722.5 612.3 1,041.4 2,041.1 1,035.2 8,480.3 671.5 615.6 3,324.5 4,279.9 8,161.4 3,104.5 3,556.1 1,305.6 4,214.6 718.4 630.9 2,388.2 2,503.6 3,054.8 4,711.2 1,238.4 5,369.8 3,613.3 1,089.6 1,345.1 1,186.3 11,833.1 4,511.5 1,657.5 847.5 828.5 1,177.9 751.4 855.7 566.0 837.0 1,276.3 1,607.1 2,366.7 434.8 1,506.3 979.9 1,211.9 155.7 5,375.7 2,019.7 1,924.3 2,547.0 3,162.9 3,147.2 1,657.9 2,137.9 2,687.6 9,579.2 5,344.3 2,112.7 2,122.3 Rank 111 280 162 101 10 155 220 343 77 338 2 350 310 315 333 263 153 264 15 323 331 87 57 17 93 80 237 59 316 326 132 128 94 49 245 41 79 254 232 249 5 52 (X) (X) (X) (X) 311 295 339 297 239 201 133 351 215 273 246 361 40 157 165 126 91 92 194 146 117 9 (X) (X) (X) 2005 (July 1) 158,291 702,235 162,842 848,879 797,940 147,965 790,535 126,795 238,664 79,952 351,049 130,412 175,514 341,847 112,141 215,143 392,831 175,085 4,917,717 271,015 123,254 520,332 1,452,529 756,825 2,655,675 147,068 226,514 733,802 139,191 109,029 383,530 183,471 141,382 146,593 248,422 1,090,126 99,346 151,057 177,709 159,013 544,201 4,411,835 1,800,432 1,459,011 738,301 414,091 280,440 110,990 240,661 902,775 378,311 98,433 1,147,711 140,533 205,230 409,996 544,758 56,062 69,799 246,412 215,742 306,435 594,899 1,521,278 188,424 492,126 85,163 9,443,356 7,882,729 697,401 863,226 2004 (July 1) 158,449 701,837 162,348 844,961 781,380 146,951 779,730 127,202 235,696 80,239 346,233 130,482 173,547 338,782 111,982 212,864 387,366 175,415 4,796,268 268,311 120,537 516,338 1,411,199 734,077 2,644,744 146,698 227,984 727,413 139,505 109,139 383,251 180,205 134,618 144,576 249,345 1,081,722 97,885 150,597 177,297 157,847 524,789 4,418,758 1,807,863 1,462,822 737,447 410,626 279,551 109,047 241,436 901,819 370,829 97,569 1,153,753 138,452 204,510 410,005 514,923 55,926 68,988 244,306 214,989 307,243 583,472 1,474,843 185,554 488,661 85,033 9,393,259 7,850,994 690,891 851,374 Population Persons per square mile of land area3 1990 222 65 226 52 70 221 58 254 176 350 149 253 228 139 274 197 128 241 12 165 334 88 48 75 19 225 186 68 242 279 109 256 349 264 150 45 337 234 210 255 125 6 (X) (X) (X) (X) 164 332 180 51 151 338 37 288 193 98 122 361 357 168 174 129 81 42 229 89 352 3 (X) (X) (X) 2005 57.7 776.0 84.2 301.3 85.9 75.2 541.8 241.1 65.2 139.5 13.3 288.5 244.4 481.5 184.4 224.1 193.2 169.8 587.1 483.1 202.4 158.7 343.9 93.0 1,017.9 43.3 572.0 182.1 196.3 245.6 178.1 86.5 46.8 31.3 202.6 205.8 27.9 140.4 134.5 134.3 46.2 1,258.0 1,609.0 1,772.8 1,473.7 389.2 378.0 130.9 607.7 1,442.1 417.6 75.7 732.4 326.8 163.0 422.2 677.6 392.0 13.1 122.7 112.2 121.0 229.6 491.1 114.3 235.6 31.7 1,309.4 1,708.1 371.6 1,198.9 2000 58.4 767.9 81.6 293.2 78.6 73.7 507.5 245.5 61.9 139.6 12.1 295.0 230.8 454.6 184.6 210.1 181.6 161.1 507.2 450.2 189.0 152.4 295.9 81.3 978.5 42.7 561.2 175.2 194.6 248.1 178.8 78.7 38.2 29.7 205.8 198.4 26.6 140.6 132.9 127.1 39.4 1,252.4 1,620.1 1,781.8 1,444.0 366.2 363.6 122.8 585.8 1,409.9 370.0 71.6 746.7 304.2 158.0 419.1 548.4 366.8 12.5 118.1 109.3 122.3 211.9 429.4 105.5 228.1 30.4 1,261.6 1,653.0 360.1 1,103.1 1990 53.9 726.6 75.8 287.3 64.5 75.8 470.0 248.2 53.6 129.6 10.1 289.1 202.2 398.5 190.5 182.1 151.5 131.8 366.3 399.9 143.1 132.9 200.2 66.9 913.1 43.2 471.2 154.8 191.8 251.6 167.7 60.3 24.8 25.9 215.7 180.6 23.5 130.7 118.5 109.1 27.1 1,179.8 1,532.9 1,697.2 1,345.5 329.0 303.7 103.9 479.1 1,322.1 287.1 63.2 758.5 251.1 140.6 405.9 416.8 280.9 11.5 104.8 105.5 121.5 195.6 330.5 87.4 207.2 27.2 1,134.0 1,493.3 342.6 894.0



Rank 20001 (estimates base) 160,241 694,960 157,866 825,875 729,653 145,035 740,394 129,144 226,522 79,981 319,605 133,358 165,740 322,770 112,243 201,722 369,172 166,079 4,248,018 252,552 115,092 499,649 1,249,753 661,653 2,552,994 144,919 222,230 705,967 137,985 110,157 385,090 166,826 115,367 138,904 252,320 1,051,306 94,719 151,324 175,506 150,433 464,840 4,392,340 1,812,937 1,466,394 723,419 389,590 269,787 104,166 231,969 882,567 335,227 93,044 1,170,111 130,794 198,889 406,934 440,888 52,457 66,533 237,230 210,279 309,635 548,972 1,330,419 174,021 476,501 81,607 9,098,615 7,628,447 675,971 794,197 1990 (April 1) 148,004 657,575 146,583 809,642 599,416 149,082 686,688 130,542 196,111 74,252 266,021 130,669 145,177 282,937 116,032 174,801 307,999 136,025 3,068,975 224,327 87,146 435,799 846,227 544,981 2,382,172 146,601 186,605 623,850 135,982 111,723 361,218 127,780 74,976 121,499 264,497 956,646 83,831 140,715 156,669 129,180 319,596 4,133,895 1,715,269 1,398,468 670,080 350,078 225,339 88,077 189,731 827,645 260,120 82,207 1,189,340 108,213 177,059 394,106 335,113 40,443 61,226 210,640 202,848 307,689 506,877 1,024,690 144,151 433,210 73,142 8,182,076 6,894,440 643,037 644,599

2



2005 239 69 231 57 61 255 63 288 180 353 138 280 224 141 313 193 125 225 9 164 296 95 38 66 19 256 188 67 271 323 126 214 267 257 173 48 339 251 221 238 88 11 (X) (X) (X) (X) 161 317 178 54 129 342 47 270 198 115 87 361 358 175 192 150 81 36 212 98 351 3 (X) (X) (X)



2000 230 67 233 56 65 251 64 275 179 354 143 267 224 140 304 191 124 223 11 165 296 89 40 70 19 252 184 66 264 309 117 222 295 263 166 48 341 241 211 243 97 10 (X) (X) (X) (X) 159 323 177 51 137 342 42 271 193 110 103 361 359 174 187 147 85 37 215 94 352 3 (X) (X) (X)



Allentown-Bethlehem-Easton, PA-NJ . Altoona, PA . . . . . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . . Anderson, IN . . . . . . . . . . . . . . . . Anderson, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . Anniston-Oxford, AL . . . . . Appleton, WI . . . . . . . . . . Asheville, NC . . . . . . . . . Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Atlanta-Sandy Springs-Marietta, GA Atlantic City, NJ . . . . . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . Augusta-Richmond County, GA-SC . Austin-Round Rock, TX. . . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Baltimore-Towson, MD Bangor, ME . . . . . . . Barnstable Town, MA . Baton Rouge, LA . . . . Battle Creek, MI . . . . Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Beaumont-Port Arthur, TX Bellingham, WA. . . . . . . Bend, OR . . . . . . . . . . . Billings, MT. . . . . . . . . . Binghamton, NY . . . . . . Birmingham-Hoover, AL .



Bismarck, ND . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA Bloomington, IN. . . . . . . . . . . . . . . . Bloomington-Normal, IL. . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . .



Boston-Cambridge-Quincy, MA-NH . . . . . Boston-Quincy, MA . . . . . . . . . . . . . . . . Cambridge-Newton-Framingham, MA . . . . Essex County, MA . . . . . . . . . . . . . . . . Rockingham County-Strafford County, NH. Boulder, CO4 . . . . . . . . . . . . . . . . . . . . . Bowling Green, KY. . . . . . . . . . Bremerton-Silverdale, WA . . . . . Bridgeport-Stamford-Norwalk, CT Brownsville-Harlingen, TX . . . . . Brunswick, GA . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . . Burlington, NC. . . . . . . . . . . . Burlington-South Burlington, VT Canton-Massillon, OH. . . . . . . Cape Coral-Fort Myers, FL . . . Carson City, NV. . . . . . . . . . . Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Cedar Rapids, IA . . . . . . . . . . . . . . Champaign-Urbana, IL . . . . . . . . . . Charleston, WV . . . . . . . . . . . . . . . Charleston-North Charleston, SC . . . Charlotte-Gastonia-Concord, NC-SC . Charlottesville, VA . . . . . . . . . . . . .



Chattanooga, TN-GA . . . . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI . . Chicago-Naperville-Joliet, IL . . . . . . Gary, IN . . . . . . . . . . . . . . . . . . . Lake County-Kenosha County, IL-WI See footnotes at end of table.



120



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-1. Metropolitan Areas — Area and Population—Con.

Area, 2000 (square miles) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total Chico, CA. . . . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN Clarksville, TN-KY . . . . . . . . . . Cleveland, TN . . . . . . . . . . . . . Cleveland-Elyria-Mentor, OH . . . Coeur d’Alene, ID . . . . . . . . . . College Station-Bryan, TX . Colorado Springs, CO. . . . Columbia, MO . . . . . . . . . Columbia, SC . . . . . . . . . Columbus, GA-AL . . . . . . Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,677.1 4,465.9 2,242.2 773.9 3,978.9 1,315.7 2,133.7 2,688.5 1,161.9 3,833.9 1,960.0 409.4 4,013.6 2,401.4 679.0 759.0 9,284.2 5,819.4 3,464.8 637.5 902.1 1,022.1 2,313.8 1,716.1 1,317.1 585.4 1,432.4 8,387.2 2,912.2 4,235.1 672.2 3,562.9 1,728.9 800.1 616.6 9,215.1 1,812.1 1,686.6 4,481.7 893.6 467.9 410.8 1,014.7 1,558.4 4,721.8 2,348.0 7,444.0 2,820.7 5,538.4 1,050.8 3,213.0 18,661.2 649.3 1,370.5 1,342.4 765.8 2,633.9 4,092.8 1,082.0 1,368.4 6,017.4 548.8 1,324.6 429.2 1,777.5 556.7 3,437.6 3,341.1 2,890.7 2,711.7 4,021.6 2,849.0 2,020.0 920.7 Rank 187 54 139 305 67 236 147 116 251 71 161 354 65 130 321 309 11 (X) (X) 325 285 266 135 184 235 336 224 16 99 58 (X) (X) 183 301 330 12 172 186 53 288 349 353 269 209 48 134 21 105 38 260 90 3 324 230 233 308 120 63 257 231 32 342 234 352 177 340 82 85 100 113 64 104 156 281 2005 (July 1) 214,185 2,070,441 243,665 108,036 2,126,318 127,668 189,735 587,500 153,283 689,878 284,299 73,540 1,708,625 413,553 78,640 100,667 5,819,475 3,893,123 1,926,352 131,701 82,344 107,997 376,309 843,577 148,345 110,167 490,055 2,359,994 522,454 4,488,335 1,998,217 2,490,118 136,594 143,968 91,631 275,413 456,187 154,039 155,823 110,646 195,362 89,512 721,598 280,446 335,180 349,543 87,560 184,857 126,208 345,536 405,101 123,866 443,883 198,443 142,351 99,337 271,927 284,994 182,172 404,414 877,584 103,189 240,254 165,771 128,572 114,448 97,073 129,872 771,185 79,569 228,943 297,493 674,500 162,596 2004 (July 1) 212,698 2,056,843 238,225 106,984 2,133,778 122,447 188,745 579,416 151,144 680,039 284,453 72,853 1,690,721 409,645 78,383 101,025 5,696,045 3,810,195 1,885,850 129,551 82,647 108,263 375,293 844,850 147,400 110,502 478,951 2,326,310 512,340 4,489,523 2,013,771 2,475,752 135,011 139,118 91,079 275,780 450,260 152,989 152,345 109,286 191,629 89,952 712,617 280,844 331,567 347,833 86,904 182,649 124,196 346,136 390,944 122,687 443,497 197,273 142,194 98,648 268,960 282,006 180,910 401,750 865,620 103,096 238,489 160,788 127,774 114,215 97,024 127,281 766,202 79,938 219,961 295,049 666,427 160,360 Population Persons per square mile of land area3 1990 189 23 182 333 21 355 216 95 263 74 148 356 33 106 354 301 9 (X) (X) 311 329 287 105 49 250 272 102 24 94 5 (X) (X) 266 281 335 145 116 240 286 304 211 317 71 143 140 124 346 213 323 132 158 314 92 194 252 326 187 159 231 113 62 307 179 316 271 296 299 322 67 347 249 157 77 260 2005 130.7 470.8 112.7 141.4 1,061.0 102.5 90.1 218.9 133.2 186.4 146.8 180.7 428.9 232.5 116.3 133.7 647.3 696.6 566.4 207.7 91.6 106.5 165.8 493.9 116.3 189.6 444.3 282.3 181.5 1,146.7 3,254.4 754.6 79.5 244.0 150.7 32.8 258.5 93.5 37.3 124.2 421.0 219.4 712.3 349.7 73.6 152.6 11.9 65.8 22.9 331.0 127.7 6.7 693.6 145.8 112.6 137.4 104.5 71.2 194.6 296.7 147.2 192.9 196.4 420.7 75.4 207.0 28.5 39.0 272.7 29.5 57.4 159.2 336.7 177.3 2000 124.0 456.9 107.3 136.1 1,071.9 87.3 87.8 200.3 126.6 174.9 145.5 175.5 404.8 226.7 115.6 135.5 574.1 617.5 502.9 189.4 93.4 108.6 165.7 496.6 114.3 197.4 401.9 260.7 167.2 1,137.6 3,356.9 724.7 76.2 214.7 146.6 32.8 240.1 90.0 34.1 120.7 393.9 223.2 670.9 350.2 70.9 149.6 11.2 62.1 20.6 322.4 109.4 6.2 681.5 141.9 113.1 134.6 96.7 68.3 182.2 286.2 134.1 193.4 190.0 353.6 72.9 204.9 28.6 35.1 261.8 29.8 45.3 151.1 321.2 166.5 1990 111.0 419.4 87.5 114.3 1,048.5 56.1 71.7 152.6 106.0 148.3 137.6 156.4 352.7 206.6 104.6 135.0 443.7 469.2 401.9 155.5 98.2 107.2 162.2 494.0 103.1 201.7 335.2 197.4 144.6 1,085.5 3,439.2 647.6 70.0 187.8 142.1 32.1 195.2 83.5 26.2 113.3 336.6 233.3 584.0 343.6 62.1 141.8 10.6 54.5 16.6 285.0 75.5 5.2 672.6 129.5 103.9 124.6 71.6 58.5 153.6 260.0 111.9 186.6 156.4 242.2 69.5 189.3 30.3 28.0 228.4 28.8 33.0 130.4 269.5 135.1



Rank 20001 (estimates base) 203,171 2,009,657 232,044 104,015 2,148,010 108,685 184,885 537,484 145,666 647,261 281,768 71,435 1,612,837 403,280 78,139 102,008 5,161,518 3,451,248 1,710,270 120,061 83,924 110,156 376,054 848,153 145,867 114,706 443,343 2,179,320 481,398 4,452,557 2,061,162 2,391,395 130,861 126,700 89,156 275,486 423,803 148,337 142,361 107,543 182,791 91,070 679,622 280,843 322,977 342,815 82,840 174,367 113,801 336,613 347,045 116,320 436,148 193,155 142,950 97,296 251,494 273,171 170,498 390,156 799,407 103,459 232,392 139,315 124,345 113,329 97,478 116,935 740,482 80,357 180,861 282,497 643,447 152,693 1990 (April 1) 182,120 1,844,915 189,279 87,355 2,102,248 69,795 150,998 409,482 122,010 548,936 266,452 63,657 1,405,168 367,786 70,811 101,643 3,989,294 2,622,562 1,366,732 98,609 88,257 108,728 368,145 843,835 131,556 117,206 370,737 1,650,489 416,346 4,248,699 2,111,687 2,137,012 120,352 110,993 86,403 269,230 344,645 137,543 109,303 100,919 156,198 95,195 591,610 275,572 282,912 324,858 77,720 153,296 91,605 297,569 239,464 96,591 430,459 176,195 131,327 90,083 186,136 234,078 143,777 354,435 667,490 99,840 191,263 95,434 118,539 104,666 103,272 93,145 645,918 77,691 131,821 243,698 540,030 123,864

2



2005 194 25 176 325 23 287 209 84 247 70 158 357 32 111 356 336 5 (X) (X) 278 352 326 130 59 253 322 100 22 93 10 (X) (X) 273 260 347 162 103 245 244 319 205 348 68 160 143 139 349 213 290 140 117 295 107 202 266 340 163 157 217 118 56 333 179 229 285 308 344 281 65 354 184 154 73 233



2000 190 24 176 324 23 314 204 86 250 73 154 358 31 111 356 332 5 (X) (X) 288 349 310 121 54 249 298 101 22 93 9 (X) (X) 270 278 347 156 105 245 257 318 205 344 69 155 139 133 351 214 299 136 130 293 104 198 256 338 167 158 217 116 58 327 175 261 280 300 337 292 63 353 208 153 74 237



Columbus, OH . . . . . . . . . . Corpus Christi, TX . . . . . . . . Corvallis, OR . . . . . . . . . . . Cumberland, MD-WV . . . . . . Dallas-Fort Worth-Arlington, Dallas-Plano-Irving, TX . . . Fort Worth-Arlington, TX . .



... ... ... ... TX . ... ...



Dalton, GA . . . . . . . . . . . . . . . . . Danville, IL . . . . . . . . . . . . . . . . . Danville, VA . . . . . . . . . . . . . . . . Davenport-Moline-Rock Island, IA-IL Dayton, OH . . . . . . . . . . . . . . . . Decatur, AL . . . . . . . . . . . . . . . .



Decatur, IL . . . . . . . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, FL Denver-Aurora, CO4 . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . . . . . . . . . . . Detroit-Warren-Livonia, MI. . . . . . . . . . . Detroit-Livonia-Dearborn, MI . . . . . . . . . Warren-Farmington Hills-Troy, MI. . . . . . Dothan, AL . . . Dover, DE . . . Dubuque, IA . . Duluth, MN-WI Durham, NC . . Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



El Centro, CA . . . . Elizabethtown, KY . Elkhart-Goshen, IN. Elmira, NY . . . . . . El Paso, TX . . . . . Erie, PA . . . . . . . .



Eugene-Springfield, OR Evansville, IN-KY . . . . . Fairbanks, AK . . . . . . . Fargo, ND-MN. . . . . . . Farmington, NM. . . . . . Fayetteville, NC . . . . . .



Fayetteville-Springdale-Rogers, AR-MO . Flagstaff, AZ . . . . . . . . . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Florence, SC. . . . . . . . . . . . . . . . . . . Florence-Muscle Shoals, AL. . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Fort Wayne, IN . . . . . . . . . . . . . . . . . Fresno, CA . . . . . . . . . . . . . . . . . . . . Gadsden, AL. . . . . . . . . . . . . . . . . . . Gainesville, FL . . . . Gainesville, GA . . . . Glens Falls, NY . . . . Goldsboro, NC . . . . Grand Forks, ND-MN Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Grand Rapids-Wyoming, MI . Great Falls, MT . . . . . . . . . Greeley, CO4 . . . . . . . . . . Green Bay, WI . . . . . . . . . Greensboro-High Point, NC . Greenville, NC. . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



121



Table B-1. Metropolitan Areas — Area and Population—Con.

Area, 2000 (square miles) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total Greenville, SC. . . . . . . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . . Hagerstown-Martinsburg, MD-WV . Hanford-Corcoran, CA . . . . . . . . Harrisburg-Carlisle, PA . . . . . . . . Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,030.8 1,976.8 1,018.8 1,391.5 1,664.4 870.9 1,606.7 1,620.9 1,665.8 1,006.0 1,632.0 2,126.9 734.6 3,552.1 10,061.9 1,773.8 1,419.9 3,006.2 3,887.9 1,194.1 491.6 723.8 3,795.3 847.4 3,698.1 908.6 726.2 2,278.4 863.9 693.4 1,476.4 1,268.0 1,670.4 681.4 7,949.4 3,025.5 2,858.6 2,047.1 1,160.8 1,931.7 554.3 1,048.8 1,284.5 1,086.8 3,025.9 2,010.0 983.8 1,714.5 3,375.5 3,814.6 8,090.7 474.5 1,083.8 362.6 1,497.1 497.2 1,484.1 406.9 1,422.4 4,198.2 1,841.4 1,807.7 1,166.3 5,700.3 4,752.3 948.0 4,196.3 1,802.4 2,146.7 1,737.7 2,153.3 2,802.1 Rank 154 159 267 228 191 290 202 199 190 271 197 148 312 81 6 179 227 98 69 247 347 314 73 296 76 283 313 138 292 317 219 241 189 319 20 96 102 152 252 164 341 262 238 255 95 158 272 185 84 72 19 348 256 359 216 346 218 355 226 60 171 173 250 35 (X) (X) 61 175 145 182 143 106 2005 (July 1) 591,251 255,383 251,311 143,420 521,812 111,689 1,188,241 131,871 355,654 68,627 255,406 905,266 93,551 199,670 5,280,077 286,012 368,661 113,436 1,640,591 138,524 100,018 163,629 522,580 110,857 1,248,371 152,440 157,538 143,867 188,944 148,073 112,084 166,178 319,348 107,972 1,947,694 220,961 351,528 301,294 182,693 655,400 101,362 128,899 183,340 247,824 194,977 542,912 490,562 455,315 224,695 189,444 1,710,551 102,914 112,429 125,578 59,109 108,039 429,889 106,234 281,553 643,272 110,426 201,501 97,325 12,923,547 9,935,475 2,988,072 1,208,452 258,970 236,910 228,712 142,788 537,039 2004 (July 1) 583,917 252,826 244,206 142,291 518,744 110,796 1,182,817 129,944 353,097 71,412 252,945 899,562 92,222 198,409 5,176,667 286,237 362,800 110,560 1,617,414 137,558 100,080 162,653 517,060 110,042 1,223,741 154,587 156,207 142,377 187,217 148,646 111,064 164,031 318,272 107,038 1,927,240 215,552 345,949 299,983 181,824 646,979 101,129 128,401 181,427 245,719 194,261 524,286 486,361 455,594 218,806 185,524 1,648,524 102,738 113,058 124,087 58,640 107,125 424,649 106,333 278,509 635,764 109,291 199,966 96,208 12,899,425 9,917,331 2,982,094 1,199,424 257,835 233,876 227,955 138,895 531,256 Population Persons per square mile of land area3 1990 85 171 178 302 84 330 38 285 136 358 185 50 351 188 10 137 135 328 34 276 320 219 86 324 47 218 237 265 205 200 321 244 134 315 25 217 146 142 199 79 313 273 208 170 192 96 93 90 247 243 56 340 280 278 359 294 115 284 162 78 343 190 339 2 (X) (X) 40 160 173 172 331 91 2005 295.3 169.9 249.3 103.1 320.3 128.5 784.3 81.9 217.1 74.6 451.2 1,508.8 138.2 85.3 591.4 163.5 268.5 38.3 424.7 117.1 210.1 231.4 140.3 131.0 387.6 198.7 218.8 63.9 221.2 215.2 76.3 131.3 272.2 159.5 247.9 75.0 124.5 149.7 162.2 352.9 183.3 127.5 143.5 245.4 81.8 289.7 516.9 266.7 66.9 49.8 216.3 225.2 105.2 346.9 39.8 229.9 290.7 263.0 199.1 157.3 60.3 112.9 85.4 2,664.6 2,446.6 3,787.2 292.2 144.0 111.5 132.6 66.8 196.1 2000 279.7 163.8 221.0 93.1 312.5 124.5 758.2 76.9 208.7 78.2 421.0 1,460.3 130.1 83.1 528.2 165.0 249.5 34.3 394.8 111.3 202.7 224.1 133.4 126.9 348.6 196.0 211.5 62.2 212.7 221.8 73.4 124.3 268.4 153.4 233.7 65.1 117.1 148.4 157.9 331.8 183.6 125.5 139.7 236.6 81.2 258.2 496.0 262.3 57.5 45.9 173.9 218.7 107.6 332.4 39.1 220.8 276.1 268.5 188.7 149.3 56.1 108.7 81.6 2,549.6 2,344.1 3,607.5 281.1 138.8 107.6 128.9 57.6 183.3 1990 235.8 138.3 191.2 73.1 291.1 101.5 741.7 68.0 178.4 64.1 331.7 1,393.7 108.3 78.1 421.9 164.8 213.4 29.9 334.9 97.8 197.7 211.8 119.9 107.3 287.2 195.4 193.5 53.6 188.0 237.0 63.7 106.6 250.2 142.0 208.3 50.9 95.2 137.0 146.7 288.1 175.3 115.1 124.3 206.8 74.4 216.2 445.5 253.5 39.7 35.6 93.7 179.0 104.3 314.2 34.6 224.0 235.6 271.7 162.0 130.8 43.4 100.9 72.1 2,324.5 2,183.0 3,051.5 255.4 127.8 97.0 119.9 41.2 157.8



Rank 20001 (estimates base) 559,922 246,190 222,771 129,461 509,074 108,167 1,148,618 123,812 341,820 71,914 238,314 876,156 88,068 194,477 4,715,407 288,649 342,627 101,677 1,525,104 131,676 96,501 158,422 497,197 107,365 1,122,750 150,355 152,307 140,052 181,607 152,598 107,762 157,322 314,866 103,833 1,836,418 191,822 330,712 298,484 177,749 616,079 101,541 126,838 178,541 238,936 193,568 483,924 470,658 447,822 193,117 174,682 1,375,738 99,965 114,996 120,327 57,961 103,793 408,326 108,473 266,787 610,518 102,720 194,042 92,948 12,365,619 9,519,330 2,846,289 1,162,415 249,700 228,616 222,385 123,109 501,774 1990 (April 1) 472,155 207,875 192,774 101,469 474,242 88,189 1,123,678 109,603 292,405 58,947 187,768 836,231 73,397 182,842 3,767,233 288,189 293,047 88,750 1,294,217 115,731 94,097 149,756 446,941 90,801 925,213 149,838 139,510 120,704 160,369 163,062 93,620 134,910 293,471 96,255 1,636,527 150,033 268,820 275,678 165,304 534,917 96,946 116,401 158,848 208,859 177,394 405,382 422,822 432,684 133,239 135,510 741,368 81,798 111,486 113,744 51,359 105,259 348,428 109,755 229,091 534,943 79,415 180,053 82,119 11,273,720 8,863,052 2,410,668 1,056,156 229,940 206,226 206,786 88,090 432,323

2



2005 83 170 171 262 94 315 44 276 136 359 169 53 346 200 7 156 133 309 34 272 338 230 92 318 42 249 240 261 211 254 314 228 145 327 27 191 137 152 216 78 335 283 215 174 207 89 99 104 189 210 31 334 312 292 360 324 110 328 159 80 321 199 343 2 (X) (X) 43 167 181 186 263 90



2000 84 171 181 273 87 316 44 282 135 357 173 52 348 195 8 151 134 333 34 269 339 232 90 319 45 244 239 260 206 238 317 234 146 325 26 201 138 149 210 76 334 277 209 172 197 92 96 99 200 213 36 335 297 287 360 326 109 315 160 77 330 196 343 2 (X) (X) 43 169 178 183 284 88



Hartford-West Hartford-East Hartford, CT . Hattiesburg, MS. . . . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . . Holland-Grand Haven, MI . . . . . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . . . . . Hot Springs, AR. . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA Houston-Sugar Land-Baytown, TX . Huntington-Ashland, WV-KY-OH . . . Huntsville, AL . . . . . . . . . . . . . . . Idaho Falls, ID. . . . . . . . . . . . . . . Indianapolis, IN . Iowa City, IA . . . Ithaca, NY . . . . Jackson, MI . . . Jackson, MS . . . Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Jacksonville, FL. . . Jacksonville, NC . . Janesville, WI . . . . Jefferson City, MO . Johnson City, TN . . Johnstown, PA . . .



Jonesboro, AR . . . . . . . . . . . . Joplin, MO . . . . . . . . . . . . . . . Kalamazoo-Portage, MI . . . . . . Kankakee-Bradley, IL . . . . . . . . Kansas City, MO-KS. . . . . . . . . Kennewick-Richland-Pasco, WA . Killeen-Temple-Fort Hood, TX . Kingsport-Bristol-Bristol, TN-VA Kingston, NY. . . . . . . . . . . . . Knoxville, TN . . . . . . . . . . . . Kokomo, IN . . . . . . . . . . . . . La Crosse, WI-MN . . . . . . . . . Lafayette, IN . . . . . . . . . Lafayette, LA . . . . . . . . Lake Charles, LA . . . . . . Lakeland, FL. . . . . . . . . Lancaster, PA . . . . . . . . Lansing-East Lansing, MI Laredo, TX . . . . . . . . . . Las Cruces, NM . . . . . . Las Vegas-Paradise, NV . Lawrence, KS . . . . . . . . Lawton, OK . . . . . . . . . Lebanon, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Lewiston, ID-WA . . . . . . . . . . . Lewiston-Auburn, ME . . . . . . . . Lexington-Fayette, KY . . . . . . . Lima, OH . . . . . . . . . . . . . . . . Lincoln, NE. . . . . . . . . . . . . . . Little Rock-North Little Rock, AR.



Logan, UT-ID . . . . . . . . . . . . . . . . . . . . Longview, TX . . . . . . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Los Angeles-Long Beach-Glendale, CA . Santa Ana-Anaheim-Irvine, CA . . . . . . . Louisville, KY-IN Lubbock, TX . . . Lynchburg, VA. . Macon, GA . . . . Madera, CA . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



122



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-1. Metropolitan Areas — Area and Population—Con.

Area, 2000 (square miles) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total Manchester-Nashua, NH . . . . Mansfield, OH . . . . . . . . . . . McAllen-Edinburg-Mission, TX Medford, OR . . . . . . . . . . . . Memphis, TN-MS-AR . . . . . . Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 892.2 500.3 1,582.7 2,801.8 4,699.6 1,971.9 6,137.2 1,319.6 2,431.3 2,386.3 613.0 902.0 3,322.3 6,364.1 2,618.3 1,644.0 1,514.7 1,538.0 680.0 2,786.5 1,017.3 792.5 1,920.5 395.9 1,459.3 1,255.0 788.3 2,304.9 5,762.7 862.0 7,097.0 9,212.2 2,208.6 2,826.2 2,256.7 1,920.8 1,581.4 771.7 1,663.0 620.3 901.7 1,904.0 5,581.8 773.6 4,406.2 4,011.8 578.7 931.4 2,208.2 1,557.0 1,033.3 1,386.5 1,526.9 2,049.1 2,518.3 4,870.6 1,383.9 2,202.8 1,284.0 14,598.4 2,084.7 5,343.1 946.3 2,590.1 2,858.4 6,817.8 1,440.9 1,663.9 8,127.8 2,236.2 5,547.3 2,397.7 Rank 289 345 203 107 50 160 30 (X) (X) (X) 332 286 88 27 121 195 213 211 320 108 268 302 166 357 222 242 304 137 34 293 23 13 (X) (X) (X) (X) 204 307 193 328 287 169 36 306 55 66 337 279 142 210 265 229 212 151 127 44 (X) (X) (X) 4 150 42 278 124 103 24 223 192 18 140 37 131 2005 (July 1) 401,291 127,949 678,275 195,322 1,260,905 241,706 5,422,200 1,777,638 2,376,014 1,268,548 110,512 121,371 1,512,855 3,142,779 100,086 401,427 505,505 171,138 153,935 357,244 114,501 130,575 113,171 116,362 175,554 226,992 132,764 307,242 1,422,544 846,766 1,319,367 18,747,320 2,303,709 2,808,064 2,152,978 11,482,569 162,611 266,618 303,442 99,286 125,339 486,842 1,156,812 228,867 813,170 1,933,255 159,482 111,599 796,106 531,250 161,558 162,529 157,199 439,877 369,161 5,823,233 1,245,902 3,890,181 687,150 3,865,077 104,865 2,386,074 131,868 85,908 514,227 2,095,861 381,033 667,742 198,701 1,622,520 452,851 151,322 2004 (July 1) 398,355 128,095 657,310 193,016 1,248,492 236,857 5,355,903 1,753,000 2,358,714 1,244,189 109,741 120,014 1,513,319 3,112,877 99,063 400,107 497,599 171,089 152,451 354,243 113,883 128,794 111,131 117,501 174,146 217,635 132,394 296,675 1,394,960 844,342 1,317,990 18,754,585 2,288,043 2,812,212 2,148,774 11,505,556 162,825 266,107 291,768 100,461 124,293 477,343 1,142,390 224,661 802,247 1,863,086 158,664 111,028 796,165 518,812 157,811 162,931 155,847 434,812 367,451 5,798,956 1,237,060 3,882,313 679,583 3,713,291 105,223 2,397,767 132,397 85,658 511,036 2,062,109 364,803 662,833 190,737 1,627,194 443,109 149,954 Population Persons per square mile of land area3 1990 121 258 100 227 39 191 8 (X) (X) (X) 290 293 31 16 344 101 103 201 245 130 297 305 342 268 207 230 283 214 41 53 35 1 (X) (X) (X) (X) 203 155 177 318 269 114 44 204 59 36 236 295 61 97 257 202 248 117 111 4 (X) (X) (X) 20 291 18 238 353 87 27 156 73 289 28 144 261 2005 458.1 257.4 432.0 70.1 275.8 125.3 1,057.8 1,475.2 1,221.0 642.6 184.8 134.9 1,036.2 518.4 38.5 325.6 338.4 115.0 279.4 131.1 113.5 182.6 65.2 296.1 344.9 200.2 176.1 151.7 250.1 1,397.3 418.4 2,787.3 1,337.0 2,342.0 980.0 7,140.9 284.8 400.3 192.2 389.4 139.1 327.0 209.6 314.8 186.4 553.8 363.3 123.3 431.5 521.9 211.5 119.0 130.5 262.0 149.5 1,257.7 921.5 1,796.0 617.9 265.2 51.3 451.9 141.6 34.1 247.2 313.6 337.8 412.7 24.5 1,013.4 84.0 63.3 2000 434.8 259.3 362.7 65.1 263.6 109.2 977.0 1,346.9 1,158.2 573.0 184.1 128.9 1,027.9 489.7 36.9 324.3 299.2 114.3 264.9 127.2 110.2 172.1 59.4 302.2 334.4 173.4 164.9 124.1 230.7 1,359.7 417.5 2,724.3 1,261.7 2,296.8 954.7 7,026.2 284.5 389.0 164.0 401.3 134.4 297.3 198.5 285.2 175.8 471.1 357.1 121.4 408.2 467.8 194.0 120.5 124.9 245.5 148.5 1,228.3 878.0 1,777.3 585.0 223.1 52.5 460.4 145.0 33.0 234.4 288.4 283.2 384.1 20.6 988.8 69.9 59.2 1990 383.4 253.8 244.5 52.6 233.4 92.5 781.8 1,038.5 996.5 424.5 179.0 118.5 980.9 418.7 30.3 307.1 247.8 109.5 242.5 112.0 103.5 140.7 45.8 304.5 312.3 127.0 146.9 75.1 184.3 1,327.1 401.0 2,502.4 1,101.1 2,178.0 892.1 6,430.4 282.6 382.8 123.4 372.9 132.0 236.3 175.9 221.8 157.2 350.9 319.6 115.5 362.4 391.9 166.2 118.5 109.5 205.1 145.1 1,174.0 834.3 1,721.6 520.3 153.6 52.3 467.7 149.7 29.0 212.0 228.0 222.6 350.5 13.3 943.0 50.0 51.5



Rank 20001 (estimates base) 380,841 128,852 569,463 181,275 1,205,194 210,554 5,007,988 1,623,018 2,253,779 1,131,191 110,106 116,009 1,500,744 2,968,817 95,802 399,843 446,997 170,053 145,945 346,528 111,200 123,081 102,979 118,769 170,200 196,629 124,308 251,377 1,311,793 824,008 1,316,512 18,323,382 2,173,869 2,753,913 2,097,519 11,298,081 162,455 259,106 258,916 102,326 121,123 442,656 1,095,421 207,355 767,140 1,644,563 156,763 109,875 753,197 476,230 148,217 164,624 150,564 412,153 366,875 5,687,141 1,186,996 3,849,644 650,501 3,251,876 107,345 2,431,087 134,953 83,103 487,568 1,927,881 319,426 621,517 167,517 1,582,997 376,778 141,472 1990 (April 1) 335,838 126,137 383,545 146,387 1,067,263 178,403 4,056,228 1,255,531 1,937,194 863,503 107,066 106,611 1,432,149 2,538,776 78,687 378,643 370,522 162,987 133,600 305,175 104,546 100,591 79,545 119,659 158,983 144,053 110,765 152,099 1,048,216 804,219 1,264,383 16,846,046 1,898,352 2,609,212 1,959,855 10,378,627 161,378 254,957 194,835 95,089 118,934 351,799 971,042 161,238 685,797 1,224,844 140,320 104,681 669,016 398,978 126,994 161,907 131,916 344,406 358,552 5,435,550 1,127,972 3,728,991 578,587 2,238,498 106,958 2,468,289 139,352 73,112 441,257 1,523,741 251,071 567,109 107,714 1,509,789 269,407 123,051

2



2005 120 286 72 206 41 177 6 (X) (X) (X) 320 298 37 16 337 119 97 226 246 135 307 279 311 303 223 187 275 149 39 58 40 1 (X) (X) (X) (X) 232 166 151 341 293 101 46 185 60 28 237 316 62 91 236 234 242 109 132 4 (X) (X) (X) 14 331 21 277 350 96 24 128 75 201 35 105 250



2000 119 276 81 207 41 186 6 (X) (X) (X) 311 294 35 16 340 113 100 219 248 131 306 285 329 291 218 194 281 168 39 57 38 1 (X) (X) (X) (X) 229 161 162 331 286 102 47 189 60 30 235 312 61 95 246 225 242 108 127 4 (X) (X) (X) 14 320 20 266 350 91 25 144 75 220 32 120 259



Miami-Fort Lauderdale-Miami Beach, FL . . . . . . . . . . Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . West Palm Beach-Boca Raton-Boynton Beach, FL . . . Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . Minneapolis-St. Paul-Bloomington, MN-WI Missoula, MT . . . . . . . . . . . . . . . . . . . Mobile, AL . . . . . . . . . . . . . . . . . . . . . Modesto, CA. . . . . . . . . . . . . . . . . . . . Monroe, LA . . . . . . . . . . . . . . . . . . . . Monroe, MI . . . . . . . . . . . . . Montgomery, AL . . . . . . . . . Morgantown, WV . . . . . . . . . Morristown, TN . . . . . . . . . . Mount Vernon-Anacortes, WA Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Muskegon-Norton Shores, MI. . . . . . . . . . . . Myrtle Beach-Conway-North Myrtle Beach, SC Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . Naples-Marco Island, FL . . . . . . . . . . . . . . . Nashville-Davidson-Murfreesboro, TN . . . . . . New Haven-Milford, CT. . . . . . . . . . . . . . . .



New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA Edison, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . Niles-Benton Harbor, MI . Norwich-New London, CT Ocala, FL . . . . . . . . . . . Ocean City, NJ . . . . . . . Odessa, TX . . . . . . . . . Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Oklahoma City, OK . . . . . . . Olympia, WA. . . . . . . . . . . . Omaha-Council Bluffs, NE-IA . Orlando-Kissimee, FL . . . . . . Oshkosh-Neenah, WI . . . . . . Owensboro, KY . . . . . . . . . .



Oxnard-Thousand Oaks-Ventura, CA. Palm Bay-Melbourne-Titusville, FL . . Panama City-Lynn Haven, FL . . . . . Parkersburg-Marietta-Vienna, WV-OH Pascagoula, MS . . . . . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Peoria, IL . . . . . . . . . . . . . . . . . . Philadelphia-Camden-Wilmington, Camden, NJ . . . . . . . . . . . . . . Philadelphia, PA . . . . . . . . . . . . Wilmington, DE-MD-NJ . . . . . . . Phoenix-Mesa-Scottsdale, AZ . . . .



........... PA-NJ-DE-MD . ........... ........... ........... ........... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Pine Bluff, AR . . . . . . . . . . . . . . . . . . Pittsburgh, PA . . . . . . . . . . . . . . . . . . Pittsfield, MA. . . . . . . . . . . . . . . . . . . Pocatello, ID . . . . . . . . . . . . . . . . . . . Portland-South Portland-Biddeford, ME . Portland-Vancouver-Beaverton, OR-WA .



Port St. Lucie-Fort Pierce, FL. . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA. Provo-Orem, UT . . . . . . . . . . . . . . . . . . Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



123



Table B-1. Metropolitan Areas — Area and Population—Con.

Area, 2000 (square miles) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total Punta Gorda, FL . Racine, WI . . . . . Raleigh-Cary, NC. Rapid City, SD . . Reading, PA . . . . Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 859.1 791.9 2,147.6 6,266.8 865.7 3,847.4 6,815.1 5,841.7 27,408.5 1,896.7 1,644.0 4,870.1 801.2 1,049.3 518.5 5,309.3 815.8 1,802.9 2,429.9 1,673.9 8,844.0 1,938.3 3,771.1 1,010.6 9,977.0 2,592.1 7,384.7 4,525.5 626.2 3,424.4 1,623.3 1,801.1 2,694.7 3,615.5 3,789.1 607.2 1,910.8 1,768.2 1,617.9 1,569.6 1,776.4 6,309.4 4,502.9 1,806.5 1,271.0 979.2 2,698.3 2,094.6 2,586.9 969.4 819.1 1,780.7 1,192.4 1,904.3 3,020.8 403.6 1,111.9 1,426.3 682.0 2,779.4 2,602.7 3,330.9 1,484.8 1,560.3 2,208.9 3,290.2 228.8 9,188.8 6,460.2 2,667.6 949.5 Rank 294 303 144 29 291 70 25 33 1 170 196 45 300 261 344 43 299 174 129 188 8 163 75 270 7 123 22 51 327 83 (X) (X) 115 78 74 334 167 180 200 207 178 28 (X) (X) 240 274 114 149 125 275 298 176 248 168 97 356 253 225 318 110 122 86 217 208 141 89 360 14 26 119 277 2005 (July 1) 157,536 195,708 949,681 118,203 396,314 179,904 393,946 1,175,654 3,909,954 292,983 176,984 1,039,028 339,178 145,507 94,198 2,042,283 208,356 181,159 118,885 121,961 2,778,518 375,560 412,104 116,247 1,034,484 105,367 1,889,797 2,933,462 78,665 4,152,688 2,466,692 1,685,996 1,754,988 255,478 400,762 249,666 140,855 466,477 673,035 313,883 550,546 3,203,314 2,449,527 753,787 114,610 116,834 383,233 142,571 207,918 318,156 266,809 440,706 205,527 687,264 398,124 142,376 140,561 664,116 105,517 651,763 334,886 2,647,658 168,059 133,805 656,696 229,075 366,256 924,786 887,715 196,885 190,594 2004 (July 1) 157,324 193,862 914,963 117,553 391,447 177,829 384,343 1,156,849 3,785,883 291,177 174,821 1,041,060 334,754 145,033 94,053 2,014,594 209,249 179,176 110,425 122,011 2,768,641 369,573 414,551 114,372 1,018,514 105,538 1,852,508 2,935,190 78,976 4,146,980 2,459,702 1,687,278 1,737,961 254,436 401,708 250,837 139,166 467,932 651,696 310,327 551,214 3,167,729 2,421,951 745,778 113,899 115,855 380,785 143,116 203,186 317,490 264,106 435,146 205,056 687,296 390,917 142,394 139,948 649,241 105,699 653,128 331,252 2,586,417 168,482 132,698 657,925 227,609 364,381 906,540 880,713 195,103 186,822 Population Persons per square mile of land area3 1990 282 196 76 300 120 224 154 46 14 147 233 43 138 246 341 29 167 220 360 275 13 141 112 312 54 306 32 17 348 11 (X) (X) 26 166 104 161 310 99 82 153 72 15 (X) (X) 298 319 110 251 212 133 163 108 181 60 131 223 259 83 303 64 152 22 198 267 66 169 123 63 55 195 215 2005 227.0 587.7 448.8 18.9 461.4 47.5 59.6 205.8 143.4 156.3 109.4 354.5 426.6 139.2 183.6 400.9 257.5 103.3 49.0 73.4 321.3 195.1 124.1 165.1 108.4 40.9 257.5 698.4 308.5 1,679.2 1,691.8 1,659.4 654.8 77.3 146.4 561.0 73.8 296.0 512.6 231.0 315.1 543.5 581.1 448.9 223.0 125.1 147.5 68.8 80.6 334.9 329.0 249.8 173.9 371.7 132.3 355.9 126.9 474.7 158.7 272.8 140.3 1,036.7 114.7 88.5 405.4 70.7 1,620.6 100.7 141.3 75.3 205.4 2000 204.1 567.1 376.7 18.1 435.0 43.1 51.9 192.0 119.4 153.8 101.1 354.1 402.8 136.8 176.5 352.7 259.6 95.5 37.2 74.5 312.0 180.4 120.9 155.4 101.6 41.1 233.2 670.0 312.0 1,667.5 1,641.0 1,703.9 647.7 74.7 145.9 574.4 67.7 291.0 449.3 215.8 320.9 516.4 555.9 417.4 219.2 118.4 144.7 69.0 72.5 333.3 312.9 236.9 170.4 367.8 122.4 361.9 122.5 402.9 157.3 272.1 134.2 938.1 116.7 85.8 406.9 69.3 1,552.0 91.9 136.8 73.9 188.3 1990 159.9 525.6 257.0 16.5 391.8 38.8 38.9 166.2 94.9 143.4 87.7 341.9 356.9 127.6 158.4 290.8 262.0 85.3 20.0 69.7 298.3 144.4 107.1 138.9 80.4 38.9 191.8 594.2 301.1 1,489.7 1,426.9 1,578.4 572.5 65.7 135.0 515.1 51.8 246.3 372.8 189.4 329.3 434.3 468.0 349.8 202.1 101.7 138.4 63.4 59.5 312.1 279.6 204.8 160.2 363.8 99.3 368.9 112.6 343.6 152.3 276.1 108.5 809.7 113.7 79.5 403.8 64.8 1,441.7 72.6 121.2 67.4 162.9



Rank 20001 (estimates base) 141,627 188,831 797,026 112,818 373,638 163,256 342,885 1,096,957 3,254,821 288,254 163,618 1,037,831 320,204 142,991 90,565 1,796,857 210,042 167,396 90,354 123,822 2,698,672 347,218 401,762 109,391 968,883 105,781 1,711,726 2,813,833 79,551 4,123,742 2,392,557 1,731,185 1,735,819 246,681 399,347 255,602 129,288 458,614 589,963 293,299 560,625 3,043,885 2,343,067 700,818 112,656 110,595 375,965 143,053 187,093 316,661 253,782 417,939 201,440 680,014 368,374 144,741 135,758 563,598 104,636 650,154 320,304 2,396,013 170,954 129,749 659,188 224,551 350,761 843,746 859,530 193,134 174,706 1990 (April 1) 110,975 175,034 544,020 103,221 336,523 147,036 257,193 949,244 2,588,793 268,513 141,945 1,002,410 283,719 133,369 81,251 1,481,220 211,946 149,509 48,560 115,816 2,580,720 278,024 355,660 97,779 768,075 100,087 1,407,745 2,498,016 76,779 3,684,112 2,080,434 1,603,678 1,534,274 217,162 369,608 229,734 98,928 388,222 489,483 257,899 575,322 2,559,136 1,972,933 586,203 103,877 95,019 359,687 131,350 153,500 296,529 226,793 361,333 189,550 672,970 298,818 147,548 124,812 480,628 101,276 659,924 259,107 2,067,959 166,578 120,132 654,157 210,257 325,824 666,957 761,019 176,173 151,309

2



2005 241 204 51 301 123 220 124 45 13 155 222 49 142 259 345 26 195 219 299 297 18 131 112 305 50 330 29 17 355 12 (X) (X) 30 168 121 172 268 102 74 148 86 15 (X) (X) 306 302 127 264 196 146 165 108 197 71 122 265 269 76 329 79 144 20 227 274 77 183 134 52 55 203 208



2000 258 202 59 302 123 228 132 46 13 152 227 49 142 255 345 27 188 221 346 283 18 129 112 313 50 321 29 17 355 12 (X) (X) 28 170 114 163 274 98 79 150 83 15 (X) (X) 303 308 122 254 203 145 164 107 192 68 125 253 265 82 322 72 141 21 216 272 71 180 128 55 53 199 212



Reno-Sparks, NV. . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . . . . . . Riverside-San Bernardino-Ontario, CA . Roanoke, VA. . . . . . . . . . . . . . . . . . Rochester, MN . . . . . . . . . . . . . . . . Rochester, NY. . . . . . . . . . . . . . . . .



Rockford, IL . . . . . . . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . Sacramento-Arden-Arcade-Roseville, CA . Saginaw-Saginaw Township North, MI . . . St. Cloud, MN . . . . . . . . . . . . . . . . . . . St. George, UT . . . St. Joseph, MO-KS St. Louis, MO-IL5 . . Salem, OR . . . . . . Salinas, CA . . . . . Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Salt Lake City, UT . . . . . . . . . . . . . San Angelo, TX . . . . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA Sandusky, OH . . . . . . . . . . . . . . . .



San Francisco-Oakland-Fremont, CA . . . . . . Oakland-Fremont-Hayward, CA. . . . . . . . . . San Francisco-San Mateo-Redwood City, CA San Jose-Sunnyvale-Santa Clara, CA . . . . . . . San Luis Obispo-Paso Robles, CA . . . . . . . . . Santa Barbara-Santa Maria, CA . . . . . . . . . . . Santa Cruz-Watsonville, CA. . . Santa Fe, NM . . . . . . . . . . . . Santa Rosa-Petaluma, CA. . . . Sarasota-Bradenton-Venice, FL Savannah, GA . . . . . . . . . . . Scranton-Wilkes-Barre, PA . . . Seattle-Tacoma-Bellevue, WA Seattle-Bellevue-Everett, WA Tacoma, WA . . . . . . . . . . . Sheboygan, WI . . . . . . . . . . . Sherman-Denison, TX . . . . . . Shreveport-Bossier City, LA . . . Sioux City, IA-NE-SD . . Sioux Falls, SD . . . . . . South Bend-Mishawaka, Spartanburg, SC . . . . . Spokane, WA . . . . . . . Springfield, IL . . . . . . . Springfield, MA . . Springfield, MO . . Springfield, OH . . State College, PA Stockton, CA . . . Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..... ..... IN-MI . ..... ..... ..... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Syracuse, NY . . . . . . . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Terre Haute, IN . . . . . . . . . . . . . . . Texarkana, TX-Texarkana, AR . . . . . Toledo, OH . . . . . . . . . . . . . . . . . . Topeka, KS. . . . . . Trenton-Ewing, NJ . Tucson, AZ . . . . . . Tulsa, OK. . . . . . . Tuscaloosa, AL . . . Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



124



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-1. Metropolitan Areas — Area and Population—Con.

Area, 2000 (square miles) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total Utica-Rome, NY . . . . . . . . . . Valdosta, GA. . . . . . . . . . . . . Vallejo-Fairfield, CA . . . . . . . . Vero Beach, FL . . . . . . . . . . . Victoria, TX. . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,715.5 1,629.0 906.7 616.9 2,780.2 676.6 3,896.5 4,839.1 1,060.2 379.8 6,028.0 1,174.5 4,853.5 1,514.1 1,576.1 591.5 4,842.3 962.4 4,181.1 2,675.0 1,243.8 2,310.6 1,069.6 1,473.2 1,579.0 4,311.6 910.3 1,740.7 1,252.3 5,519.0 Rank 112 198 284 329 109 322 68 47 259 358 31 (X) (X) 214 206 335 46 276 62 118 244 136 258 221 205 56 282 181 243 39 2005 (July 1) 297,885 124,838 411,593 128,594 113,356 153,252 1,647,346 410,874 224,668 126,163 5,214,666 1,148,284 4,066,382 161,897 128,941 126,464 104,768 148,677 587,055 146,276 118,395 315,144 116,267 448,629 783,262 231,586 408,801 593,168 156,029 181,277 2004 (July 1) 298,438 123,725 411,896 124,676 113,251 151,020 1,641,671 400,952 222,765 123,773 5,157,608 1,139,087 4,018,521 161,596 127,823 127,495 103,323 149,437 583,860 147,751 118,505 303,258 113,107 441,472 778,608 229,515 401,063 596,262 151,146 175,629 Population Persons per square mile of land area3 1990 126 309 119 325 308 239 30 127 183 327 7 (X) (X) 209 277 232 345 206 80 235 270 175 336 107 57 184 118 69 262 292 2005 113.5 78.6 496.5 255.7 50.4 313.4 626.8 85.2 215.6 334.6 926.7 991.6 909.9 107.4 83.5 217.7 22.1 156.3 141.5 55.5 95.9 163.8 109.1 306.9 517.7 53.9 452.2 348.1 126.5 32.9 2000 114.3 75.2 475.9 224.5 49.7 299.5 600.0 76.3 204.9 293.8 852.4 923.5 833.9 108.6 81.4 227.2 20.9 161.1 137.7 57.5 97.2 142.7 96.6 288.6 495.7 51.8 422.3 353.9 112.9 29.0 1990 120.6 62.5 410.0 179.3 44.2 282.3 552.1 64.7 181.5 236.6 732.5 783.4 719.1 105.2 74.7 244.9 16.5 167.5 123.2 53.3 96.1 104.0 79.0 247.2 469.1 44.0 375.2 360.3 99.5 19.4



Rank 20001 (estimates base) 299,896 119,566 394,513 112,947 111,663 146,438 1,576,917 368,021 213,513 110,765 4,796,182 1,069,441 3,726,741 163,707 125,834 132,008 99,219 153,178 571,168 151,524 120,044 274,550 102,997 421,957 749,973 222,581 381,751 602,964 139,149 160,026 1990 (April 1) 316,645 99,244 339,471 90,208 99,394 138,053 1,450,855 311,921 189,123 89,208 4,122,259 907,235 3,215,024 158,640 115,400 142,523 78,455 159,301 511,111 140,375 118,710 200,124 84,168 361,448 709,705 188,823 339,574 613,622 122,643 106,895

2



2005 153 294 113 284 310 248 33 114 190 291 8 (X) (X) 235 282 289 332 252 85 258 300 147 304 106 64 182 116 82 243 218



2000 148 290 115 301 305 247 33 126 185 307 7 (X) (X) 226 279 268 336 236 80 240 289 157 328 106 62 182 118 78 262 231



Virginia Beach-Norfolk-Newport News, VA-NC. . . . . Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV Bethesda-Gaithersburg-Frederick, MD . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV. Waterloo-Cedar Falls, IA . . . . Wausau, WI . . . . . . . . . . . . Weirton-Steubenville, WV-OH. Wenatchee, WA . . . . . . . . . Wheeling, WV-OH . . . . . . . . Wichita, KS. . . . . . . . . . . . . Wichita Falls, TX . . Williamsport, PA . . Wilmington, NC . . . Winchester, VA-WV Winston-Salem, NC Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Yakima, WA . . . . . . . . . . . . . York-Hanover, PA . . . . . . . . . Youngstown-Warren-Boardman, Yuba City, CA . . . . . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . . X Not applicable.



...... ...... OH-PA . ...... ......



The April 1, 2000, Population Estimates base reflects modifications to the Census 2000 population as documented in the Count Question Resolution program and geographic program revisions. The April 1, 1990, census counts include corrections processed through August 1997, results of special censuses and test censuses, and do not include adjustments for census coverage errors. Persons per square mile were calculated on the basis of land area data from the 2000 census. 4 The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield city is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 5 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA.

2 3



1



Note: Covers metropolitan statistical areas and metropolitan divisions as defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . Survey, Census, or Data Collection Method: Based on the 2000 Census of Population and Housing and, for population estimates, the ‘‘component of population change method’’; for more information, see Appendix B, Limitations of the Data and Methodology, and also and . Sources: Area—U.S. Census Bureau, 2000 Census of Population and Housing, Summary Population and Housing Characteristics, Series PHC-1; and unpublished data on American FactFinder; Population—U.S. Census Bureau, 1990 ‘‘Population Estimates: Annual Time Series,’’ archive 1990 (revised data for April 1, 1990, Population Estimates base), . 2000 to 2005 compiled from ‘‘Population Estimates by County,’’ published 16 March 2006; .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



125



Table B-2. Metropolitan Areas — Components of Population Change

Components of population change, April 1, 2000, to July 1, 2005 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total population change1 Abilene, TX. . . . . . . . . . . . . Akron, OH . . . . . . . . . . . . . Albany, GA . . . . . . . . . . . . . Albany-Schenectady-Troy, NY Albuquerque, NM. . . . . . . . . Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −1,950 7,275 4,976 23,004 68,287 2,930 50,141 −2,349 12,142 −29 31,444 −2,946 9,774 19,077 −102 13,421 23,659 9,006 669,699 18,463 8,162 20,683 202,776 95,172 102,681 2,149 4,284 27,835 1,206 −1,128 −1,560 16,645 26,015 7,689 −3,898 38,820 4,627 −267 2,203 8,580 79,361 19,495 −12,505 −7,383 14,882 24,501 10,653 6,824 8,692 20,208 43,084 5,389 −22,400 9,739 6,341 3,062 103,870 3,605 3,266 9,182 5,463 −3,200 45,927 190,859 14,403 15,625 3,556 344,741 254,282 21,430 69,029 Number Natural increase Total 4,371 9,714 5,318 9,445 30,409 3,271 7,691 −955 8,065 2,330 18,962 717 2,223 12,026 860 7,732 1,234 5,492 251,881 4,268 3,170 14,977 82,522 37,998 57,190 1,035 −4,191 25,475 2,393 714 6,349 3,746 2,998 2,933 707 20,326 2,232 1,312 2,933 5,245 26,298 115,563 49,233 37,027 19,258 10,045 11,317 2,587 6,146 27,469 34,793 1,818 3,760 2,783 4,639 3,597 1,166 398 1,740 7,319 5,700 513 19,085 63,448 4,527 6,468 2,600 379,103 323,572 16,203 39,328 Births 12,328 44,354 12,452 49,576 57,366 11,571 46,084 7,520 18,996 4,743 27,038 8,482 11,648 21,867 7,797 14,857 23,157 11,577 397,491 18,396 7,360 39,234 117,386 64,895 180,997 8,052 10,396 55,602 9,980 6,610 27,229 10,485 8,122 9,587 14,041 78,528 6,188 7,864 9,849 10,834 43,265 303,982 128,991 97,126 53,618 24,247 18,398 7,353 15,549 63,450 44,402 6,908 68,911 9,784 11,978 25,584 28,987 3,750 4,868 17,138 13,784 19,711 42,723 117,627 11,717 32,209 6,178 747,424 632,040 49,467 65,917 Deaths 7,957 34,640 7,134 40,131 26,957 8,300 38,393 8,475 10,931 2,413 8,076 7,765 9,425 9,841 6,937 7,125 21,923 6,085 145,610 14,128 4,190 24,257 34,864 26,897 123,807 7,017 14,587 30,127 7,587 5,896 20,880 6,739 5,124 6,654 13,334 58,202 3,956 6,552 6,916 5,589 16,967 188,419 79,758 60,099 34,360 14,202 7,081 4,766 9,403 35,981 9,609 5,090 65,151 7,001 7,339 21,987 27,821 3,352 3,128 9,819 8,084 19,198 23,638 54,179 7,190 25,741 3,578 368,321 308,468 33,264 26,589 Net international migration 942 3,808 707 7,177 11,189 422 8,366 164 2,864 3,008 3,468 463 668 11,896 359 1,250 4,583 4,125 144,564 6,830 937 2,675 47,204 16,713 27,625 714 2,137 4,993 903 165 3,189 3,425 486 178 2,112 7,375 257 2,375 3,078 1,698 6,733 132,759 61,909 53,762 14,988 2,100 8,553 2,000 1,278 35,546 11,797 713 7,792 3,577 2,640 655 10,075 1,094 235 1,582 5,804 488 4,672 33,849 3,197 3,099 353 306,954 280,459 4,293 22,202 Percent change, 2000– 2005 −1.2 1.0 3.2 2.8 9.4 2.0 6.8 −1.8 5.4 0.0 9.8 −2.2 5.9 5.9 −0.1 6.7 6.4 5.4 15.8 7.3 7.1 4.1 16.2 14.4 4.0 1.5 1.9 3.9 0.9 −1.0 −0.4 10.0 22.5 5.5 −1.5 3.7 4.9 −0.2 1.3 5.7 17.1 0.4 −0.7 −0.5 2.1 6.3 3.9 6.6 3.7 2.3 12.9 5.8 −1.9 7.4 3.2 0.8 23.6 6.9 4.9 3.9 2.6 −1.0 8.4 14.3 8.3 3.3 4.4 3.8 3.3 3.2 8.7 Population change, April 1, 1990, to April 1, 2000



Number 12,237 37,385 11,283 16,233 130,237 −4,047 53,706 −1,398 30,411 5,729 53,584 2,689 20,563 39,833 −3,789 26,921 61,173 30,054 1,179,043 28,225 27,946 63,850 403,526 116,672 170,822 −1,682 35,625 82,117 2,003 −1,566 23,872 39,046 40,391 17,405 −12,177 94,660 10,888 10,609 18,837 21,253 145,244 258,445 97,668 67,926 53,339 39,512 44,448 16,089 42,238 54,922 75,107 10,837 −19,229 22,581 21,830 12,828 105,775 12,014 5,307 26,590 7,431 1,946 42,095 305,729 29,870 43,291 8,465 916,539 734,007 32,934 149,598



Percent change 8.3 5.7 7.7 2.0 21.7 −2.7 7.8 −1.1 15.5 7.7 20.1 2.1 14.2 14.1 −3.3 15.4 19.9 22.1 38.4 12.6 32.1 14.7 47.7 21.4 7.2 −1.1 19.1 13.2 1.5 −1.4 6.6 30.6 53.9 14.3 −4.6 9.9 13.0 7.5 12.0 16.5 45.4 6.3 5.7 4.9 8.0 11.3 19.7 18.3 22.3 6.6 28.9 13.2 −1.6 20.9 12.3 3.3 31.6 29.7 8.7 12.6 3.7 0.6 8.3 29.8 20.7 10.0 11.6 11.2 10.6 5.1 23.2



Allentown-Bethlehem-Easton, PA-NJ . Altoona, PA . . . . . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . . Anderson, IN . . . . . . . . . . . . . . . . Anderson, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . Anniston-Oxford, AL . . . . . Appleton, WI . . . . . . . . . . Asheville, NC . . . . . . . . . Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Atlanta-Sandy Springs-Marietta, GA Atlantic City, NJ . . . . . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . Augusta-Richmond County, GA-SC . Austin-Round Rock, TX. . . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Baltimore-Towson, MD Bangor, ME . . . . . . . Barnstable Town, MA . Baton Rouge, LA . . . . Battle Creek, MI . . . . Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Beaumont-Port Arthur, TX Bellingham, WA. . . . . . . Bend, OR . . . . . . . . . . . Billings, MT. . . . . . . . . . Binghamton, NY . . . . . . Birmingham-Hoover, AL .



Bismarck, ND . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA Bloomington, IN. . . . . . . . . . . . . . . . Bloomington-Normal, IL. . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . .



Boston-Cambridge-Quincy, MA-NH . . . . . Boston-Quincy, MA . . . . . . . . . . . . . . . . Cambridge-Newton-Framingham, MA . . . . Essex County, MA . . . . . . . . . . . . . . . . Rockingham County-Strafford County, NH. Boulder, CO2 . . . . . . . . . . . . . . . . . . . . . Bowling Green, KY. . . . . . . . . . Bremerton-Silverdale, WA . . . . . Bridgeport-Stamford-Norwalk, CT Brownsville-Harlingen, TX . . . . . Brunswick, GA . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . . Burlington, NC. . . . . . . . . . . . Burlington-South Burlington, VT Canton-Massillon, OH. . . . . . . Cape Coral-Fort Myers, FL . . . Carson City, NV. . . . . . . . . . . Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Cedar Rapids, IA . . . . . . . . . . . . . . Champaign-Urbana, IL . . . . . . . . . . Charleston, WV . . . . . . . . . . . . . . . Charleston-North Charleston, SC . . . Charlotte-Gastonia-Concord, NC-SC . Charlottesville, VA . . . . . . . . . . . . .



Chattanooga, TN-GA . . . . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI . . Chicago-Naperville-Joliet, IL . . . . . . Gary, IN . . . . . . . . . . . . . . . . . . . Lake County-Kenosha County, IL-WI See footnotes at end of table.



126



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-2. Metropolitan Areas — Components of Population Change—Con.

Components of population change, April 1, 2000, to July 1, 2005 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total population change1 Chico, CA. . . . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN Clarksville, TN-KY . . . . . . . . . . Cleveland, TN . . . . . . . . . . . . . Cleveland-Elyria-Mentor, OH . . . Coeur d’Alene, ID . . . . . . . . . . College Station-Bryan, TX . Colorado Springs, CO. . . . Columbia, MO . . . . . . . . . Columbia, SC . . . . . . . . . Columbus, GA-AL . . . . . . Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,014 60,784 11,621 4,021 −21,692 18,983 4,850 50,016 7,617 42,617 2,531 2,105 95,788 10,273 501 −1,341 657,957 441,875 216,082 11,640 −1,580 −2,159 255 −4,576 2,478 −4,539 46,712 181,600 41,056 35,778 −62,945 98,723 5,733 17,268 2,475 −73 32,384 5,702 13,462 3,103 12,571 −1,558 41,976 −397 12,203 6,728 4,720 10,490 12,407 8,923 58,056 7,546 7,735 5,288 −599 2,041 20,433 11,823 11,674 14,258 78,177 −270 7,862 26,456 4,227 1,119 −405 12,937 30,703 −788 48,082 14,996 31,053 9,903 Number Natural increase Total 448 60,330 12,741 1,720 30,834 3,185 8,136 28,852 5,060 18,635 8,737 1,843 65,151 17,097 1,519 −1,143 333,544 235,263 98,281 7,134 715 −75 7,431 15,460 2,578 1,246 −6,034 120,201 20,395 113,878 54,668 59,210 2,442 4,700 2,035 −60 16,465 2,967 10,046 4,019 9,039 721 53,769 3,597 3,824 4,737 6,310 6,294 6,355 20,442 16,115 6,737 12,451 4,261 202 1,394 9,602 7,043 5,612 14,748 48,004 −310 5,103 9,632 83 3,676 2,143 1,986 31,517 1,566 12,414 9,508 17,233 5,448 Births 12,086 152,804 22,021 7,140 143,200 7,877 14,187 46,025 10,192 47,880 22,917 5,215 131,937 33,478 4,009 5,179 503,993 343,541 160,452 12,233 5,831 6,875 25,783 57,785 9,944 7,468 24,853 190,714 39,931 319,742 158,718 161,024 9,692 10,484 6,217 15,263 33,532 9,240 14,469 8,409 16,559 5,653 74,019 17,555 18,974 23,219 8,087 12,402 10,330 32,569 30,919 9,935 33,244 15,003 8,341 6,025 17,539 21,314 13,086 31,519 77,660 6,817 14,180 15,122 6,547 9,183 6,313 8,231 60,017 5,636 18,503 20,464 46,988 12,045 Deaths 11,638 92,474 9,280 5,420 112,366 4,692 6,051 17,173 5,132 29,245 14,180 3,372 66,786 16,381 2,490 6,322 170,449 108,278 62,171 5,099 5,116 6,950 18,352 42,325 7,366 6,222 30,887 70,513 19,536 205,864 104,050 101,814 7,250 5,784 4,182 15,323 17,067 6,273 4,423 4,390 7,520 4,932 20,250 13,958 15,150 18,482 1,777 6,108 3,975 12,127 14,804 3,198 20,793 10,742 8,139 4,631 7,937 14,271 7,474 16,771 29,656 7,127 9,077 5,490 6,464 5,507 4,170 6,245 28,500 4,070 6,089 10,956 29,755 6,597 Net international migration 2,523 13,977 1,351 677 19,524 278 6,402 7,143 2,385 6,382 2,519 1,219 24,430 3,122 1,973 145 232,235 179,862 52,373 5,391 279 473 2,882 3,862 1,029 285 4,554 74,060 8,182 72,285 32,976 39,309 385 840 651 737 17,449 452 6,153 707 4,868 281 25,116 2,317 4,088 1,206 649 2,128 706 3,391 8,109 1,175 1,047 585 362 594 3,473 3,097 1,045 4,319 26,772 497 4,577 9,147 311 1,454 917 687 12,467 192 5,018 2,689 15,499 2,163 Percent change, 2000– 2005 5.4 3.0 5.0 3.9 −1.0 17.5 2.6 9.3 5.2 6.6 0.9 2.9 5.9 2.5 0.6 −1.3 12.7 12.8 12.6 9.7 −1.9 −2.0 0.1 −0.5 1.7 −4.0 10.5 8.3 8.5 0.8 −3.1 4.1 4.4 13.6 2.8 0.0 7.6 3.8 9.5 2.9 6.9 −1.7 6.2 −0.1 3.8 2.0 5.7 6.0 10.9 2.7 16.7 6.5 1.8 2.7 −0.4 2.1 8.1 4.3 6.8 3.7 9.8 −0.3 3.4 19.0 3.4 1.0 −0.4 11.1 4.1 −1.0 26.6 5.3 4.8 6.5 Population change, April 1, 1990, to April 1, 2000



Number 21,051 164,742 42,765 16,660 45,762 38,890 33,887 128,002 23,656 98,325 15,316 7,778 207,669 35,494 7,328 365 1,172,224 828,686 343,538 21,452 −4,333 1,428 7,909 4,318 14,311 −2,500 72,606 527,905 65,052 203,858 −50,525 254,383 10,509 15,707 2,753 6,256 79,158 10,794 33,058 6,624 26,593 −4,125 88,012 5,271 40,065 17,957 5,120 21,071 22,196 39,044 107,581 19,729 5,689 16,960 11,623 7,213 65,358 39,093 26,721 35,721 131,917 3,619 41,129 43,881 5,806 8,663 −5,794 23,790 94,564 2,666 49,040 38,799 103,417 28,829



Percent change 11.6 8.9 22.6 19.1 2.2 55.7 22.4 31.3 19.4 17.9 5.7 12.2 14.8 9.7 10.3 0.4 29.4 31.6 25.1 21.8 −4.9 1.3 2.1 0.5 10.9 −2.1 19.6 32.0 15.6 4.8 −2.4 11.9 8.7 14.2 3.2 2.3 23.0 7.8 30.2 6.6 17.0 −4.3 14.9 1.9 14.2 5.5 6.6 13.7 24.2 13.1 44.9 20.4 1.3 9.6 8.9 8.0 35.1 16.7 18.6 10.1 19.8 3.6 21.5 46.0 4.9 8.3 −5.6 25.5 14.6 3.4 37.2 15.9 19.2 23.3



Columbus, OH . . . . . . . . . . Corpus Christi, TX . . . . . . . . Corvallis, OR . . . . . . . . . . . Cumberland, MD-WV . . . . . . Dallas-Fort Worth-Arlington, Dallas-Plano-Irving, TX . . . Fort Worth-Arlington, TX . .



... ... ... ... TX . ... ...



Dalton, GA . . . . . . . . . . . . . . . . . Danville, IL . . . . . . . . . . . . . . . . . Danville, VA . . . . . . . . . . . . . . . . Davenport-Moline-Rock Island, IA-IL Dayton, OH . . . . . . . . . . . . . . . . Decatur, AL . . . . . . . . . . . . . . . .



Decatur, IL . . . . . . . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, FL Denver-Aurora, CO2 . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . . . . . . . . . . . Detroit-Warren-Livonia, MI. . . . . . . . . . . Detroit-Livonia-Dearborn, MI . . . . . . . . . Warren-Farmington Hills-Troy, MI. . . . . . Dothan, AL . . . Dover, DE . . . Dubuque, IA . . Duluth, MN-WI Durham, NC . . Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



El Centro, CA . . . . Elizabethtown, KY . Elkhart-Goshen, IN. Elmira, NY . . . . . . El Paso, TX . . . . . Erie, PA . . . . . . . .



Eugene-Springfield, OR Evansville, IN-KY . . . . . Fairbanks, AK . . . . . . . Fargo, ND-MN. . . . . . . Farmington, NM. . . . . . Fayetteville, NC . . . . . .



Fayetteville-Springdale-Rogers, AR-MO . Flagstaff, AZ . . . . . . . . . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Florence, SC. . . . . . . . . . . . . . . . . . . Florence-Muscle Shoals, AL. . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Fort Wayne, IN . . . . . . . . . . . . . . . . . Fresno, CA . . . . . . . . . . . . . . . . . . . . Gadsden, AL. . . . . . . . . . . . . . . . . . . Gainesville, FL . . . . Gainesville, GA . . . . Glens Falls, NY . . . . Goldsboro, NC . . . . Grand Forks, ND-MN Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Grand Rapids-Wyoming, MI . Great Falls, MT . . . . . . . . . Greeley, CO2 . . . . . . . . . . Green Bay, WI . . . . . . . . . Greensboro-High Point, NC . Greenville, NC. . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



127



Table B-2. Metropolitan Areas — Components of Population Change—Con.

Components of population change, April 1, 2000, to July 1, 2005 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total population change1 Greenville, SC. . . . . . . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . . Hagerstown-Martinsburg, MD-WV . Hanford-Corcoran, CA . . . . . . . . Harrisburg-Carlisle, PA . . . . . . . . Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,329 9,193 28,540 13,959 12,738 3,522 39,623 8,059 13,834 −3,287 17,092 29,110 5,483 5,193 564,670 −2,637 26,034 11,759 115,487 6,848 3,517 5,207 25,383 3,492 125,621 2,085 5,231 3,815 7,337 −4,525 4,322 8,856 4,482 4,139 111,276 29,139 20,816 2,810 4,944 39,321 −179 2,061 4,799 8,888 1,409 58,988 19,904 7,493 31,578 14,762 334,813 2,949 −2,567 5,251 1,148 4,246 21,563 −2,239 14,766 32,754 7,706 7,459 4,377 557,928 416,145 141,783 46,037 9,270 8,294 6,327 19,679 35,265 Number Natural increase Total 13,606 7,054 3,841 8,035 6,035 2,768 19,006 4,192 6,293 6,221 10,632 35,977 −1,244 7,167 297,973 −332 8,494 6,387 63,806 5,277 1,644 2,764 18,886 2,672 33,745 12,736 3,714 3,273 −66 −2,201 2,315 4,131 8,090 2,289 69,971 10,993 24,864 −1,413 1,190 7,279 1,486 1,984 5,407 9,803 5,721 9,258 12,526 13,392 26,362 10,739 65,234 3,441 5,520 774 470 1,165 13,470 2,099 11,418 19,285 10,376 3,889 1,317 632,567 486,669 145,898 25,781 10,574 1,931 6,204 6,772 16,737 Births 39,743 19,372 15,346 12,060 31,491 7,140 71,985 10,143 23,176 8,095 18,474 70,118 5,565 15,449 454,251 17,681 23,324 10,215 129,967 9,149 4,701 10,731 42,091 8,111 89,397 16,805 10,589 9,458 10,891 7,819 8,301 12,646 21,797 8,049 149,366 17,819 35,974 16,821 9,458 40,400 7,235 7,539 12,031 19,489 15,115 36,939 34,991 30,032 30,901 16,226 125,201 6,271 10,072 7,458 3,717 6,640 30,436 7,927 21,142 47,977 13,118 15,339 6,248 1,032,433 797,844 234,589 83,924 21,229 13,985 17,944 11,599 34,146 Deaths 26,137 12,318 11,505 4,025 25,456 4,372 52,979 5,951 16,883 1,874 7,842 34,141 6,809 8,282 156,278 18,013 14,830 3,828 66,161 3,872 3,057 7,967 23,205 5,439 55,652 4,069 6,875 6,185 10,957 10,020 5,986 8,515 13,707 5,760 79,395 6,826 11,110 18,234 8,268 33,121 5,749 5,555 6,624 9,686 9,394 27,681 22,465 16,640 4,539 5,487 59,967 2,830 4,552 6,684 3,247 5,475 16,966 5,828 9,724 28,692 2,742 11,450 4,931 399,866 311,175 88,691 58,143 10,655 12,054 11,740 4,827 17,409 Net international migration 8,862 1,232 565 3,230 4,278 2,248 20,208 741 5,325 906 1,947 23,631 355 624 210,440 489 3,066 816 16,562 3,012 4,290 592 1,633 831 11,541 733 1,517 719 726 302 714 1,032 3,400 780 23,459 6,019 3,541 765 1,229 3,642 322 445 5,817 1,398 520 6,876 2,919 7,308 9,258 4,321 52,899 2,154 495 663 169 389 7,777 176 5,374 3,407 2,264 2,170 765 646,907 506,016 140,891 9,783 1,602 1,171 976 4,743 10,089 Percent change, 2000– 2005 5.6 3.7 12.8 10.8 2.5 3.3 3.4 6.5 4.0 −4.6 7.2 3.3 6.2 2.7 12.0 −0.9 7.6 11.6 7.6 5.2 3.6 3.3 5.1 3.3 11.2 1.4 3.4 2.7 4.0 −3.0 4.0 5.6 1.4 4.0 6.1 15.2 6.3 0.9 2.8 6.4 −0.2 1.6 2.7 3.7 0.7 12.2 4.2 1.7 16.4 8.5 24.3 3.0 −2.2 4.4 2.0 4.1 5.3 −2.1 5.5 5.4 7.5 3.8 4.7 4.5 4.4 5.0 4.0 3.7 3.6 2.8 16.0 7.0 Population change, April 1, 1990, to April 1, 2000



Number 87,767 38,315 29,997 27,992 34,832 19,978 24,940 14,209 49,415 12,967 50,546 39,925 14,671 11,635 948,174 460 49,580 12,927 230,887 15,945 2,404 8,666 50,256 16,564 197,537 517 12,797 19,348 21,238 −10,464 14,142 22,412 21,395 7,578 199,891 41,789 61,892 22,806 12,445 81,162 4,595 10,437 19,693 30,077 16,174 78,542 47,836 15,138 59,878 39,172 634,370 18,167 3,510 6,583 6,602 −1,466 59,898 −1,282 37,696 75,575 23,305 13,989 10,829 1,091,899 656,278 435,621 106,259 19,760 22,390 15,599 35,019 69,451



Percent change 18.6 18.4 15.6 27.6 7.3 22.7 2.2 13.0 16.9 22.0 26.9 4.8 20.0 6.4 25.2 0.2 16.9 14.6 17.8 13.8 2.6 5.8 11.2 18.2 21.4 0.3 9.2 16.0 13.2 −6.4 15.1 16.6 7.3 7.9 12.2 27.9 23.0 8.3 7.5 15.2 4.7 9.0 12.4 14.4 9.1 19.4 11.3 3.5 44.9 28.9 85.6 22.2 3.1 5.8 12.9 −1.4 17.2 −1.2 16.5 14.1 29.3 7.8 13.2 9.7 7.4 18.1 10.1 8.6 10.9 7.5 39.8 16.1



Hartford-West Hartford-East Hartford, CT . Hattiesburg, MS. . . . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . . Holland-Grand Haven, MI . . . . . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . . . . . Hot Springs, AR. . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA Houston-Sugar Land-Baytown, TX . Huntington-Ashland, WV-KY-OH . . . Huntsville, AL . . . . . . . . . . . . . . . Idaho Falls, ID. . . . . . . . . . . . . . . Indianapolis, IN . Iowa City, IA . . . Ithaca, NY . . . . Jackson, MI . . . Jackson, MS . . . Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Jacksonville, FL. . . Jacksonville, NC . . Janesville, WI . . . . Jefferson City, MO . Johnson City, TN . . Johnstown, PA . . .



Jonesboro, AR . . . . . . . . . . . . Joplin, MO . . . . . . . . . . . . . . . Kalamazoo-Portage, MI . . . . . . Kankakee-Bradley, IL . . . . . . . . Kansas City, MO-KS. . . . . . . . . Kennewick-Richland-Pasco, WA . Killeen-Temple-Fort Hood, TX . Kingsport-Bristol-Bristol, TN-VA Kingston, NY. . . . . . . . . . . . . Knoxville, TN . . . . . . . . . . . . Kokomo, IN . . . . . . . . . . . . . La Crosse, WI-MN . . . . . . . . . Lafayette, IN . . . . . . . . . Lafayette, LA . . . . . . . . Lake Charles, LA . . . . . . Lakeland, FL. . . . . . . . . Lancaster, PA . . . . . . . . Lansing-East Lansing, MI Laredo, TX . . . . . . . . . . Las Cruces, NM . . . . . . Las Vegas-Paradise, NV . Lawrence, KS . . . . . . . . Lawton, OK . . . . . . . . . Lebanon, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Lewiston, ID-WA . . . . . . . . . . . Lewiston-Auburn, ME . . . . . . . . Lexington-Fayette, KY . . . . . . . Lima, OH . . . . . . . . . . . . . . . . Lincoln, NE. . . . . . . . . . . . . . . Little Rock-North Little Rock, AR.



Logan, UT-ID . . . . . . . . . . . . . . . . . . . . Longview, TX . . . . . . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Los Angeles-Long Beach-Glendale, CA . Santa Ana-Anaheim-Irvine, CA . . . . . . . Louisville, KY-IN Lubbock, TX . . . Lynchburg, VA. . Macon, GA . . . . Madera, CA . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



128



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-2. Metropolitan Areas — Components of Population Change—Con.

Components of population change, April 1, 2000, to July 1, 2005 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total population change1 Manchester-Nashua, NH . . . . Mansfield, OH . . . . . . . . . . . McAllen-Edinburg-Mission, TX Medford, OR . . . . . . . . . . . . Memphis, TN-MS-AR . . . . . . Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,450 −903 108,812 14,047 55,711 31,152 414,212 154,620 122,235 137,357 406 5,362 12,111 173,962 4,284 1,584 58,508 1,085 7,990 10,716 3,301 7,494 10,192 −2,407 5,354 30,363 8,456 55,865 110,751 22,758 2,855 423,938 129,840 54,151 55,459 184,488 156 7,512 44,526 −3,040 4,216 44,186 61,391 21,512 46,030 288,692 2,719 1,724 42,909 55,020 13,341 −2,095 6,635 27,724 2,286 136,092 58,906 40,537 36,649 613,201 −2,480 −45,013 −3,085 2,805 26,659 167,980 61,607 46,225 31,184 39,523 76,073 9,850 Number Natural increase Total 11,613 1,953 68,118 800 47,538 13,687 130,627 38,311 85,358 6,958 1,584 4,671 44,937 135,386 2,377 10,942 21,743 5,395 2,838 10,929 1,199 1,535 1,852 798 4,047 3,482 1,643 6,231 45,802 13,482 36,919 634,481 52,170 70,577 66,694 445,040 2,955 4,557 −3,332 −1,587 6,314 35,185 37,613 4,624 33,861 60,566 2,671 2,512 35,963 −2,170 3,069 −45 4,279 9,020 6,075 119,728 24,231 76,797 18,700 183,656 1,985 −16,086 −1,803 4,749 6,470 68,024 −2,163 18,676 −1,291 22,798 46,273 2,910 Births 25,873 8,333 82,362 10,978 103,781 21,415 373,544 120,738 176,141 76,665 7,131 9,605 113,112 234,117 5,916 31,758 40,736 13,943 8,958 27,491 6,282 8,386 7,205 7,054 12,492 13,827 8,353 18,889 103,818 53,538 101,758 1,387,673 156,570 189,158 156,180 885,765 11,275 16,333 15,696 5,232 11,698 48,678 88,825 13,381 65,266 131,291 9,361 8,201 61,156 26,081 10,637 9,642 11,552 29,080 25,318 401,888 80,457 273,868 47,563 314,367 7,815 132,931 6,471 8,121 28,819 145,599 18,875 43,587 9,549 101,783 55,319 10,398 Deaths 14,260 6,380 14,244 10,178 56,243 7,728 242,917 82,427 90,783 69,707 5,547 4,934 68,175 98,731 3,539 20,816 18,993 8,548 6,120 16,562 5,083 6,851 5,353 6,256 8,445 10,345 6,710 12,658 58,016 40,056 64,839 753,192 104,400 118,581 89,486 440,725 8,320 11,776 19,028 6,819 5,384 13,493 51,212 8,757 31,405 70,725 6,690 5,689 25,193 28,251 7,568 9,687 7,273 20,060 19,243 282,160 56,226 197,071 28,863 130,711 5,830 149,017 8,274 3,372 22,349 77,575 21,038 24,911 10,840 78,985 9,046 7,488 Net international migration 6,719 300 26,572 1,498 10,753 7,236 332,229 82,027 208,877 41,325 509 967 18,537 58,143 471 2,593 11,723 333 605 1,048 1,282 2,096 2,230 748 600 2,249 4,554 13,608 20,263 15,916 8,574 865,533 70,107 50,538 74,505 670,383 2,299 2,261 1,887 305 1,154 5,228 16,853 1,837 10,041 50,685 985 253 22,310 3,855 699 164 870 2,361 1,746 75,799 10,404 56,243 9,152 134,412 363 12,951 866 542 2,617 55,277 5,065 8,349 1,922 23,285 8,009 975 Percent change, 2000– 2005 5.4 −0.7 19.1 7.7 4.6 14.8 8.3 9.5 5.4 12.1 0.4 4.6 0.8 5.9 4.5 0.4 13.1 0.6 5.5 3.1 3.0 6.1 9.9 −2.0 3.1 15.4 6.8 22.2 8.4 2.8 0.2 2.3 6.0 2.0 2.6 1.6 0.1 2.9 17.2 −3.0 3.5 10.0 5.6 10.4 6.0 17.6 1.7 1.6 5.7 11.6 9.0 −1.3 4.4 6.7 0.6 2.4 5.0 1.1 5.6 18.9 −2.3 −1.9 −2.3 3.4 5.5 8.7 19.3 7.4 18.6 2.5 20.2 7.0 Population change, April 1, 1990, to April 1, 2000



Number 45,003 2,715 185,918 34,888 137,931 32,151 951,760 367,487 316,585 267,688 3,040 9,398 68,595 430,041 17,115 21,200 76,475 7,066 12,345 41,353 6,654 22,490 23,434 −890 11,217 52,576 13,543 99,278 263,577 19,789 52,129 1,477,336 275,517 144,701 137,664 919,454 1,077 4,149 64,081 7,237 2,189 90,857 124,379 46,117 81,343 419,719 16,443 5,194 84,181 77,252 21,223 2,717 18,648 67,747 8,323 251,591 59,024 120,653 71,914 1,013,378 387 −37,202 −4,399 9,991 46,311 404,140 68,355 54,408 59,803 73,208 107,371 18,421



Percent change 13.4 2.2 48.5 23.8 12.9 18.0 23.5 29.3 16.3 31.0 2.8 8.8 4.8 16.9 21.8 5.6 20.6 4.3 9.2 13.6 6.4 22.4 29.5 −0.7 7.1 36.5 12.2 65.3 25.1 2.5 4.1 8.8 14.5 5.5 7.0 8.9 0.7 1.6 32.9 7.6 1.8 25.8 12.8 28.6 11.9 34.3 11.7 5.0 12.6 19.4 16.7 1.7 14.1 19.7 2.3 4.6 5.2 3.2 12.4 45.3 0.4 −1.5 −3.2 13.7 10.5 26.5 27.2 9.6 55.5 4.8 39.9 15.0



Miami-Fort Lauderdale-Miami Beach, FL . . . . . . . . . . Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . West Palm Beach-Boca Raton-Boynton Beach, FL . . . Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . Minneapolis-St. Paul-Bloomington, MN-WI Missoula, MT . . . . . . . . . . . . . . . . . . . Mobile, AL . . . . . . . . . . . . . . . . . . . . . Modesto, CA. . . . . . . . . . . . . . . . . . . . Monroe, LA . . . . . . . . . . . . . . . . . . . . Monroe, MI . . . . . . . . . . . . . Montgomery, AL . . . . . . . . . Morgantown, WV . . . . . . . . . Morristown, TN . . . . . . . . . . Mount Vernon-Anacortes, WA Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Muskegon-Norton Shores, MI. . . . . . . . . . . . Myrtle Beach-Conway-North Myrtle Beach, SC Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . Naples-Marco Island, FL . . . . . . . . . . . . . . . Nashville-Davidson-Murfreesboro, TN . . . . . . New Haven-Milford, CT. . . . . . . . . . . . . . . .



New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA Edison, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . Niles-Benton Harbor, MI . Norwich-New London, CT Ocala, FL . . . . . . . . . . . Ocean City, NJ . . . . . . . Odessa, TX . . . . . . . . . Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Oklahoma City, OK . . . . . . . Olympia, WA. . . . . . . . . . . . Omaha-Council Bluffs, NE-IA . Orlando-Kissimee, FL . . . . . . Oshkosh-Neenah, WI . . . . . . Owensboro, KY . . . . . . . . . .



Oxnard-Thousand Oaks-Ventura, CA. Palm Bay-Melbourne-Titusville, FL . . Panama City-Lynn Haven, FL . . . . . Parkersburg-Marietta-Vienna, WV-OH Pascagoula, MS . . . . . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Peoria, IL . . . . . . . . . . . . . . . . . . Philadelphia-Camden-Wilmington, Camden, NJ . . . . . . . . . . . . . . Philadelphia, PA . . . . . . . . . . . . Wilmington, DE-MD-NJ . . . . . . . Phoenix-Mesa-Scottsdale, AZ . . . .



........... PA-NJ-DE-MD . ........... ........... ........... ........... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Pine Bluff, AR . . . . . . . . . . . . . . . . . . Pittsburgh, PA . . . . . . . . . . . . . . . . . . Pittsfield, MA. . . . . . . . . . . . . . . . . . . Pocatello, ID . . . . . . . . . . . . . . . . . . . Portland-South Portland-Biddeford, ME . Portland-Vancouver-Beaverton, OR-WA .



Port St. Lucie-Fort Pierce, FL. . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA. Provo-Orem, UT . . . . . . . . . . . . . . . . . . Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



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Table B-2. Metropolitan Areas — Components of Population Change—Con.

Components of population change, April 1, 2000, to July 1, 2005 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total population change1 Punta Gorda, FL . Racine, WI . . . . . Raleigh-Cary, NC. Rapid City, SD . . Reading, PA . . . . Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,909 6,877 152,655 5,385 22,676 16,648 51,061 78,697 655,133 4,729 13,366 1,197 18,974 2,516 3,633 245,426 −1,686 13,763 28,531 −1,861 79,846 28,342 10,342 6,856 65,601 −414 178,071 119,629 −886 28,946 74,135 −45,189 19,169 8,797 1,415 −5,936 11,567 7,863 83,072 20,584 −10,079 159,429 106,460 52,969 1,954 6,239 7,268 −482 20,825 1,495 13,027 22,767 4,087 7,250 29,750 −2,365 4,803 100,518 881 1,609 14,582 251,645 −2,895 4,056 −2,492 4,524 15,495 81,040 28,185 3,751 15,888 Number Natural increase Total −6,012 5,500 47,046 4,884 6,371 952 12,570 28,399 168,684 1,038 7,557 17,810 9,640 2,696 2,090 67,953 3,385 6,626 6,548 1,050 57,722 11,293 25,259 1,920 73,893 3,166 87,022 129,527 624 138,062 95,080 42,982 96,148 2,377 15,091 9,148 4,526 9,548 −9,236 10,322 −11,287 101,696 77,473 24,223 1,328 1,668 10,203 5,404 8,199 7,491 4,361 9,268 3,952 6,515 7,569 928 1,989 29,386 4,100 11,042 10,079 6,866 410 1,898 12,979 4,489 9,012 26,426 26,784 4,294 5,467 Births 5,397 13,494 72,810 9,581 25,073 10,373 27,357 80,114 297,762 17,621 13,277 64,979 24,146 10,576 7,321 141,614 14,209 12,265 10,416 7,694 191,468 27,591 37,701 7,590 102,847 8,368 151,918 232,321 4,891 292,414 181,820 110,594 142,829 13,099 29,981 17,932 8,380 29,872 32,756 24,528 28,410 212,753 159,933 52,820 6,710 8,172 30,093 11,858 15,926 22,679 17,885 28,573 14,160 40,359 26,221 9,634 6,670 53,041 9,037 41,065 22,539 156,273 11,016 9,035 45,784 16,346 24,081 65,914 68,806 13,859 14,694 Deaths 11,409 7,994 25,764 4,697 18,702 9,421 14,787 51,715 129,078 16,583 5,720 47,169 14,506 7,880 5,231 73,661 10,824 5,639 3,868 6,644 133,746 16,298 12,442 5,670 28,954 5,202 64,896 102,794 4,267 154,352 86,740 67,612 46,681 10,722 14,890 8,784 3,854 20,324 41,992 14,206 39,697 111,057 82,460 28,597 5,382 6,504 19,890 6,454 7,727 15,188 13,524 19,305 10,208 33,844 18,652 8,706 4,681 23,655 4,937 30,023 12,460 149,407 10,606 7,137 32,805 11,857 15,069 39,488 42,022 9,565 9,227 Net international migration 972 1,475 27,150 465 3,556 665 9,814 11,022 79,267 1,739 3,668 10,932 5,208 1,142 1,324 50,732 806 1,212 939 223 22,309 10,483 22,815 977 31,683 696 27,063 91,725 132 198,685 107,551 91,134 129,039 3,206 14,528 7,935 3,880 13,055 10,701 2,660 1,645 86,035 76,029 10,006 954 1,254 1,082 3,084 2,390 3,602 2,577 4,640 602 10,123 1,238 170 3,665 17,183 389 6,065 3,225 47,022 778 426 3,616 1,250 12,030 18,186 10,237 1,308 3,100 Percent change, 2000– 2005 11.2 3.6 19.2 4.8 6.1 10.2 14.9 7.2 20.1 1.6 8.2 0.1 5.9 1.8 4.0 13.7 −0.8 8.2 31.6 −1.5 3.0 8.2 2.6 6.3 6.8 −0.4 10.4 4.3 −1.1 0.7 3.1 −2.6 1.1 3.6 0.4 −2.3 8.9 1.7 14.1 7.0 −1.8 5.2 4.5 7.6 1.7 5.6 1.9 −0.3 11.1 0.5 5.1 5.4 2.0 1.1 8.1 −1.6 3.5 17.8 0.8 0.2 4.6 10.5 −1.7 3.1 −0.4 2.0 4.4 9.6 3.3 1.9 9.1 Population change, April 1, 1990, to April 1, 2000



Number 30,652 13,797 253,006 9,597 37,115 16,220 85,692 147,713 666,028 19,741 21,673 35,421 36,485 9,622 9,314 315,637 −1,904 17,887 41,794 8,006 117,952 69,194 46,102 11,612 200,808 5,694 303,981 315,817 2,772 439,630 312,123 127,507 201,545 29,519 29,739 25,868 30,360 70,392 100,480 35,400 −14,697 484,749 370,134 114,615 8,779 15,576 16,278 11,703 33,593 20,132 26,989 56,606 11,890 7,044 69,556 −2,807 10,946 82,970 3,360 −9,770 61,197 328,054 4,376 9,617 5,031 14,294 24,937 176,789 98,511 16,961 23,397



Percent change 27.6 7.9 46.5 9.3 11.0 11.0 33.3 15.6 25.7 7.4 15.3 3.5 12.9 7.2 11.5 21.3 −0.9 12.0 86.1 6.9 4.6 24.9 13.0 11.9 26.1 5.7 21.6 12.6 3.6 11.9 15.0 8.0 13.1 13.6 8.0 11.3 30.7 18.1 20.5 13.7 −2.6 18.9 18.8 19.6 8.5 16.4 4.5 8.9 21.9 6.8 11.9 15.7 6.3 1.0 23.3 −1.9 8.8 17.3 3.3 −1.5 23.6 15.9 2.6 8.0 0.8 6.8 7.7 26.5 12.9 9.6 15.5



Reno-Sparks, NV. . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . . . . . . Riverside-San Bernardino-Ontario, CA . Roanoke, VA. . . . . . . . . . . . . . . . . . Rochester, MN . . . . . . . . . . . . . . . . Rochester, NY. . . . . . . . . . . . . . . . .



Rockford, IL . . . . . . . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . Sacramento-Arden-Arcade-Roseville, CA . Saginaw-Saginaw Township North, MI . . . St. Cloud, MN . . . . . . . . . . . . . . . . . . . St. George, UT . . . St. Joseph, MO-KS St. Louis, MO-IL3 . . Salem, OR . . . . . . Salinas, CA . . . . . Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Salt Lake City, UT . . . . . . . . . . . . . San Angelo, TX . . . . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA Sandusky, OH . . . . . . . . . . . . . . . .



San Francisco-Oakland-Fremont, CA . . . . . . Oakland-Fremont-Hayward, CA. . . . . . . . . . San Francisco-San Mateo-Redwood City, CA San Jose-Sunnyvale-Santa Clara, CA . . . . . . . San Luis Obispo-Paso Robles, CA . . . . . . . . . Santa Barbara-Santa Maria, CA . . . . . . . . . . . Santa Cruz-Watsonville, CA. . . Santa Fe, NM . . . . . . . . . . . . Santa Rosa-Petaluma, CA. . . . Sarasota-Bradenton-Venice, FL Savannah, GA . . . . . . . . . . . Scranton-Wilkes-Barre, PA . . . Seattle-Tacoma-Bellevue, WA Seattle-Bellevue-Everett, WA Tacoma, WA . . . . . . . . . . . Sheboygan, WI . . . . . . . . . . . Sherman-Denison, TX . . . . . . Shreveport-Bossier City, LA . . . Sioux City, IA-NE-SD . . Sioux Falls, SD . . . . . . South Bend-Mishawaka, Spartanburg, SC . . . . . Spokane, WA . . . . . . . Springfield, IL . . . . . . . Springfield, MA . . Springfield, MO . . Springfield, OH . . State College, PA Stockton, CA . . . Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..... ..... IN-MI . ..... ..... ..... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Syracuse, NY . . . . . . . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Terre Haute, IN . . . . . . . . . . . . . . . Texarkana, TX-Texarkana, AR . . . . . Toledo, OH . . . . . . . . . . . . . . . . . . Topeka, KS. . . . . . Trenton-Ewing, NJ . Tucson, AZ . . . . . . Tulsa, OK. . . . . . . Tuscaloosa, AL . . . Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



130



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Table B-2. Metropolitan Areas — Components of Population Change—Con.

Components of population change, April 1, 2000, to July 1, 2005 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total population change1 Utica-Rome, NY . . . . . . . . . . Valdosta, GA. . . . . . . . . . . . . Vallejo-Fairfield, CA . . . . . . . . Vero Beach, FL . . . . . . . . . . . Victoria, TX. . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −2,011 5,272 17,080 15,647 1,693 6,814 70,429 42,853 11,155 15,398 418,484 78,843 339,641 −1,810 3,107 −5,544 5,549 −4,501 15,887 −5,248 −1,649 40,594 13,270 26,672 33,289 9,005 27,050 −9,796 16,880 21,251 Number Natural increase Total −540 4,639 16,765 −2,315 4,147 3,161 61,340 25,240 6,940 4,979 244,950 50,013 194,937 2,438 2,895 −2,653 2,848 −2,333 21,286 3,181 356 4,464 2,924 11,253 17,180 13,217 7,350 −1,407 5,812 10,725 Births 16,867 9,996 30,657 6,103 9,006 11,201 125,625 38,978 17,477 9,434 404,529 86,232 318,297 10,133 7,870 6,764 7,197 7,853 47,159 10,798 6,873 17,926 7,502 31,732 52,874 22,282 24,517 34,638 12,495 16,345 Deaths 17,407 5,357 13,892 8,418 4,859 8,040 64,285 13,738 10,537 4,455 159,579 36,219 123,360 7,695 4,975 9,417 4,349 10,186 25,873 7,617 6,517 13,462 4,578 20,479 35,694 9,065 17,167 36,045 6,683 5,620 Net international migration 4,260 884 9,076 1,645 1,094 2,579 10,578 13,103 3,278 807 200,031 52,780 147,251 2,241 564 131 2,463 200 8,050 1,317 129 2,562 1,000 8,824 14,029 6,034 1,573 1,090 4,341 6,151 Percent change, 2000– 2005 −0.7 4.4 4.3 13.9 1.5 4.7 4.5 11.6 5.2 13.9 8.7 7.4 9.1 −1.1 2.5 −4.2 5.6 −2.9 2.8 −3.5 −1.4 14.8 12.9 6.3 4.4 4.0 7.1 −1.6 12.1 13.3 Population change, April 1, 1990, to April 1, 2000



Number −16,749 20,322 55,042 22,739 12,269 8,385 126,062 56,100 24,390 21,557 673,923 162,206 511,717 5,067 10,434 −10,515 20,764 −6,123 60,057 11,149 1,334 74,426 18,829 60,509 40,268 33,758 42,177 −10,658 16,506 53,131



Percent change −5.3 20.5 16.2 25.2 12.3 6.1 8.7 18.0 12.9 24.2 16.3 17.9 15.9 3.2 9.0 −7.4 26.5 −3.8 11.8 7.9 1.1 37.2 22.4 16.7 5.7 17.9 12.4 −1.7 13.5 49.7



Virginia Beach-Norfolk-Newport News, VA-NC. . . . . Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV Bethesda-Gaithersburg-Frederick, MD . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV. Waterloo-Cedar Falls, IA . . . . Wausau, WI . . . . . . . . . . . . Weirton-Steubenville, WV-OH. Wenatchee, WA . . . . . . . . . Wheeling, WV-OH . . . . . . . . Wichita, KS. . . . . . . . . . . . . Wichita Falls, TX . . Williamsport, PA . . Wilmington, NC . . . Winchester, VA-WV Winston-Salem, NC Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Yakima, WA . . . . . . . . . . . . . York-Hanover, PA . . . . . . . . . Youngstown-Warren-Boardman, Yuba City, CA . . . . . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . .

1



...... ...... OH-PA . ...... ......



Includes net internal migration and residual not shown separately. 2 The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield city is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 3 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA. Note: Covers metropolitan statistical areas and metropolitan divisions and component counties defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . Survey, Census, or Data Collection Method: Based on population estimates and the ‘‘component of populaton change method’’; for more information, see Appendix B, Limitations of the Data and Methodology, and also . Sources: Population—U.S. Census Bureau, Components of Population Change, ‘‘Population Estimates, Cumulative Estimates of the Components of Population Change for Counties: April 1, 2000 to July 1, 2005,’’ ; Population change—Census 2000, Demographic Profiles 1; 1990 census, 100 percent data, STF1 ; Net international migration—U.S. Census Bureau, ; Births—U.S. National Center for Health Statistics, Vital Statistics of the United States, Vol. I, Natality, annual, and unpublished data; Deaths—U.S. National Center for Health Statistics, Vital Statistics of the United States, Vol. II, Mortality, annual, and unpublished data.



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U.S. Census Bureau



131



Table B-3. Metropolitan Areas — Population by Age, Race, and Sex

Population characteristics, 2003 Age (percent) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Under 5 years Abilene, TX. . . . . . . . . . . . . Akron, OH . . . . . . . . . . . . . Albany, GA . . . . . . . . . . . . . Albany-Schenectady-Troy, NY Albuquerque, NM. . . . . . . . . Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.4 6.2 7.6 5.5 7.0 7.3 5.6 5.5 7.6 5.2 7.4 6.4 6.5 6.0 6.5 6.6 5.7 6.1 7.8 6.5 5.7 7.2 8.0 8.1 6.5 5.1 4.4 7.2 6.5 5.9 6.8 5.6 5.8 6.2 5.3 6.7 5.8 4.8 5.3 6.3 7.8 6.4 6.4 6.2 6.8 5.8 6.2 6.3 6.2 6.7 10.7 6.6 5.6 6.8 5.4 6.1 5.7 6.7 6.6 6.7 6.0 5.9 6.9 7.5 5.8 6.2 6.8 7.4 7.4 6.8 7.5 5 to 14 years 14.0 13.7 15.3 12.7 14.3 14.4 13.2 12.2 15.0 9.4 16.3 13.6 13.8 12.2 12.9 14.9 12.1 11.8 14.8 14.4 12.8 14.9 13.9 17.2 14.0 11.9 11.0 14.2 14.3 13.3 14.5 12.9 13.2 13.4 12.5 13.7 13.0 9.7 11.3 12.8 15.4 13.0 12.7 12.5 14.0 14.1 12.3 12.7 14.4 14.6 18.4 14.2 13.0 13.6 13.3 13.7 11.4 13.0 13.6 13.7 11.6 12.2 14.0 14.5 12.3 13.0 13.8 14.9 14.8 14.9 16.0 15 to 24 years 17.4 13.9 16.1 14.3 14.5 15.0 13.3 13.7 15.3 27.2 15.6 13.2 12.8 18.2 14.3 14.6 12.0 21.6 13.4 12.8 22.7 15.0 15.4 16.5 13.6 15.8 10.6 16.8 14.3 13.4 14.9 17.4 13.4 14.0 15.4 13.4 16.2 24.6 22.4 20.5 14.7 12.8 13.3 12.2 12.5 13.5 15.7 17.7 15.1 11.5 16.1 13.8 13.6 14.1 15.6 13.4 10.8 12.5 15.5 14.1 22.2 12.2 15.4 13.1 17.1 13.6 14.5 13.7 13.6 14.3 14.6 25 to 34 years 13.0 12.7 13.2 12.9 13.3 12.1 11.7 11.1 13.9 18.3 13.2 12.4 13.0 17.7 12.8 12.8 12.6 19.4 16.7 12.5 18.4 13.0 18.8 14.4 13.0 12.0 10.2 14.3 12.1 11.2 12.5 14.7 13.5 12.1 11.2 13.8 12.3 16.8 16.2 16.1 15.1 14.3 15.5 14.7 12.0 11.6 17.7 15.2 12.3 11.5 13.6 12.4 11.9 13.9 13.5 11.3 10.7 12.4 11.8 13.1 16.6 12.2 14.3 16.1 14.1 13.4 13.7 14.8 15.2 12.2 13.0 35 to 44 years 13.8 15.2 13.9 15.5 15.0 14.3 15.8 14.1 14.1 11.3 16.5 14.2 14.7 15.1 13.9 17.1 14.2 12.7 17.3 16.5 13.0 14.8 16.2 14.8 16.3 15.5 14.4 14.7 14.4 14.8 14.4 13.5 14.5 14.6 14.7 15.0 14.6 11.8 13.0 14.1 15.1 16.7 16.4 17.1 16.3 18.0 16.0 14.1 15.3 17.0 12.4 14.4 15.0 14.8 16.7 14.4 12.9 14.6 13.8 15.4 12.8 14.4 15.2 16.6 14.6 14.6 15.1 15.7 15.7 14.4 16.6 45 to 54 years 12.6 15.0 13.7 15.0 14.6 13.8 15.0 15.1 13.5 11.5 16.2 14.1 14.1 13.8 14.6 14.4 14.4 11.5 13.8 14.3 11.6 14.3 13.2 12.2 14.8 15.8 14.6 13.9 14.5 15.6 14.2 14.5 15.5 15.6 14.6 14.8 15.4 11.7 12.4 12.8 13.5 14.5 13.9 14.6 15.0 16.1 15.4 13.5 15.6 15.0 10.8 14.1 15.0 13.2 15.5 15.3 12.4 14.4 15.9 14.4 12.3 16.4 13.8 13.7 14.0 14.8 14.6 13.8 13.7 15.0 14.4 55 to 64 years 8.7 9.9 9.1 10.4 9.9 10.0 10.3 11.0 8.7 7.2 8.7 11.0 11.4 8.6 10.7 8.7 11.5 7.9 8.5 9.6 7.5 9.5 7.3 7.7 10.0 10.5 11.9 9.0 10.1 10.9 9.5 9.4 10.8 10.3 10.5 10.0 9.4 9.4 8.5 7.8 8.6 9.8 9.5 9.9 9.9 10.2 8.6 9.6 10.3 10.6 7.2 10.9 10.3 9.7 9.7 10.7 12.3 11.2 10.1 9.6 7.8 11.4 9.6 8.9 9.7 10.9 9.9 9.0 9.0 10.0 8.8 65 to 74 years 7.0 6.6 5.9 6.5 6.0 7.0 7.1 8.2 6.2 4.7 3.8 7.6 7.4 4.3 8.0 5.4 8.7 4.8 4.3 6.8 4.7 6.2 4.0 4.9 6.1 7.1 10.8 5.3 6.9 7.1 6.8 5.9 7.1 6.8 7.6 6.6 6.7 5.9 5.6 4.8 4.9 6.1 6.0 6.3 6.4 5.7 4.3 6.0 5.5 6.4 5.7 7.2 7.4 7.0 5.4 7.4 12.1 7.9 6.7 6.4 5.3 8.0 5.9 5.2 6.7 7.3 6.3 5.5 5.5 6.4 4.9 75 years and over 6.2 6.8 5.2 7.2 5.4 6.1 8.0 9.1 5.7 5.2 2.3 7.5 6.3 4.0 6.3 5.6 8.7 4.3 3.3 6.6 3.6 5.0 3.2 4.3 5.9 6.1 12.0 4.5 6.7 7.8 6.4 6.1 6.2 6.9 8.2 6.1 6.6 5.3 5.3 4.8 4.9 6.4 6.3 6.5 7.2 5.0 3.7 5.0 5.3 6.7 5.2 6.4 8.2 6.8 4.8 7.8 11.7 7.4 5.9 6.7 5.4 7.2 4.8 4.4 5.8 6.3 5.4 5.3 5.3 6.1 4.3 One race (percent) Black or African AmeriWhite can alone alone 89.9 85.8 49.3 88.7 87.3 69.0 93.3 97.7 90.3 90.8 76.4 90.4 81.5 77.6 78.6 94.7 93.0 76.8 65.6 74.4 73.9 61.6 86.0 86.1 68.0 96.9 95.7 63.2 85.3 96.4 71.2 90.9 96.2 94.0 92.5 70.0 95.4 92.1 93.6 89.2 95.1 85.6 79.9 87.1 90.3 96.8 93.1 89.2 86.0 84.0 97.8 74.9 84.2 78.6 95.5 91.1 90.1 92.9 96.1 94.6 81.9 93.1 65.2 73.0 82.3 83.6 92.7 75.1 73.5 79.2 87.0 6.8 11.2 49.2 7.3 2.9 28.4 3.4 1.2 6.0 1.9 5.3 8.0 17.0 12.3 19.4 0.6 5.0 19.8 29.2 18.2 23.2 35.3 7.9 6.3 27.3 0.5 2.1 34.4 11.0 1.4 25.4 0.8 0.3 0.5 3.4 28.1 0.3 4.4 2.0 6.6 0.7 7.5 12.9 4.0 4.7 0.7 1.0 8.0 2.9 10.7 0.7 23.5 12.6 18.7 0.8 6.7 7.6 1.7 0.9 2.5 9.7 4.8 31.6 23.2 13.5 14.0 3.1 18.5 19.7 18.5 6.9 Native Ameri- Hawaican ian and Indian, Other Alaska Pacific Asian Native Islander alone alone alone 1.1 1.6 0.7 2.6 1.9 0.9 2.0 0.5 1.8 6.2 4.9 0.4 0.5 7.6 0.7 2.4 0.7 2.2 3.7 5.7 1.9 1.5 4.0 3.6 3.1 0.8 0.8 1.5 1.3 0.5 2.1 3.1 0.8 0.6 2.7 0.9 0.5 2.5 2.8 2.8 1.6 5.4 5.6 7.6 2.8 1.4 3.7 1.3 4.5 3.8 0.5 0.5 1.6 1.2 1.8 0.6 1.0 1.6 0.5 1.4 6.5 0.8 1.6 2.4 2.8 1.1 1.0 4.9 5.3 0.9 4.3 0.7 0.2 0.3 0.2 6.0 0.8 0.2 0.1 0.8 0.2 7.5 0.2 0.2 0.4 0.4 1.4 0.4 0.2 0.3 0.3 0.2 0.3 0.7 1.7 0.3 0.9 0.6 0.2 0.6 0.6 0.4 2.9 0.8 3.1 0.2 0.3 3.0 0.2 0.3 0.2 0.8 0.3 0.3 0.2 0.3 0.2 0.7 0.3 1.7 0.3 0.6 0.3 0.7 0.5 0.5 0.3 0.4 2.4 1.2 0.2 0.2 0.2 0.4 0.5 0.2 0.3 0.9 0.3 0.4 0.3 0.4 0.1 0.0 0.0 0.0 0.1 0.0 0.1 0.0 0.0 0.0 0.8 0.0 0.0 0.0 0.1 0.0 0.0 0.0 0.1 0.1 0.0 0.1 0.1 0.3 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.1 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.1 0.1 0.0 0.1 0.1 0.1 0.1 0.8 0.1 0.1 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.0 0.1 0.0 0.0 0.1 0.0 0.0 0.1 0.2 0.1 0.1 0.1 0.1 Hispanic or Latino Males oriper gin,1 (per100 cent) females 18.7 0.9 1.2 3.1 42.9 1.6 8.1 0.5 21.0 1.6 5.7 1.7 1.3 2.8 1.8 2.0 3.8 5.6 7.7 13.3 1.5 2.2 28.3 41.5 2.1 0.6 1.5 1.9 3.3 4.0 8.8 5.5 4.2 3.7 2.2 2.1 0.7 1.3 1.5 3.2 9.9 7.0 7.7 4.8 13.2 1.2 11.8 2.9 4.6 12.9 85.7 2.7 3.4 8.8 1.0 0.9 12.2 15.6 4.9 1.4 3.2 0.5 2.4 6.5 2.5 1.6 11.6 17.9 18.9 10.3 15.0 99.6 93.8 90.9 94.8 96.4 93.0 94.6 92.4 98.4 105.6 103.6 97.2 93.7 99.3 92.4 99.8 93.6 96.4 98.2 94.3 97.0 94.2 104.1 106.1 93.0 95.5 90.3 96.3 95.1 94.9 99.6 97.3 98.9 95.9 94.5 93.0 97.1 103.5 96.8 93.9 100.6 94.1 93.4 94.8 92.8 96.9 103.1 96.8 103.8 94.3 91.9 93.8 92.4 93.2 96.5 93.1 96.6 105.5 98.5 97.8 100.6 93.3 96.4 97.0 91.3 93.2 100.8 96.2 95.9 94.1 101.0



Allentown-Bethlehem-Easton, PA-NJ . Altoona, PA . . . . . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . . Anderson, IN . . . . . . . . . . . . . . . . Anderson, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . Anniston-Oxford, AL . . . . . Appleton, WI . . . . . . . . . . Asheville, NC . . . . . . . . . Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Atlanta-Sandy Springs-Marietta, GA Atlantic City, NJ . . . . . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . Augusta-Richmond County, GA-SC . Austin-Round Rock, TX. . . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Baltimore-Towson, MD Bangor, ME . . . . . . . Barnstable Town, MA . Baton Rouge, LA . . . . Battle Creek, MI . . . . Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Beaumont-Port Arthur, TX Bellingham, WA. . . . . . . Bend, OR . . . . . . . . . . . Billings, MT. . . . . . . . . . Binghamton, NY . . . . . . Birmingham-Hoover, AL .



Bismarck, ND . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA Bloomington, IN. . . . . . . . . . . . . . . . Bloomington-Normal, IL. . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . .



Boston-Cambridge-Quincy, MA-NH . . . . . Boston-Quincy, MA . . . . . . . . . . . . . . . . Cambridge-Newton-Framingham, MA . . . . Essex County, MA . . . . . . . . . . . . . . . . Rockingham County-Strafford County, NH . Boulder, CO2 . . . . . . . . . . . . . . . . . . . . . Bowling Green, KY. . . . . . . . . . Bremerton-Silverdale, WA . . . . . Bridgeport-Stamford-Norwalk, CT Brownsville-Harlingen, TX . . . . . Brunswick, GA . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . . Burlington, NC. . . . . . . . . . . . Burlington-South Burlington, VT Canton-Massillon, OH. . . . . . . Cape Coral-Fort Myers, FL . . . Carson City, NV. . . . . . . . . . . Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Cedar Rapids, IA . . . . . . . . . . . . . . Champaign-Urbana, IL . . . . . . . . . . Charleston, WV . . . . . . . . . . . . . . . Charleston-North Charleston, SC . . . Charlotte-Gastonia-Concord, NC-SC . Charlottesville, VA . . . . . . . . . . . . .



Chattanooga, TN-GA . . . . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI . . Chicago-Naperville-Joliet, IL . . . . . . Gary, IN . . . . . . . . . . . . . . . . . . . Lake County-Kenosha County, IL-WI See footnotes at end of table.



132



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-3. Metropolitan Areas — Population by Age, Race, and Sex—Con.

Population characteristics, 2003 Age (percent) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Under 5 years Chico, CA. . . . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN Clarksville, TN-KY . . . . . . . . . . Cleveland, TN . . . . . . . . . . . . . Cleveland-Elyria-Mentor, OH . . . Coeur d’Alene, ID . . . . . . . . . . College Station-Bryan, TX . Colorado Springs, CO. . . . Columbia, MO . . . . . . . . . Columbia, SC . . . . . . . . . Columbus, GA-AL . . . . . . Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.4 6.9 8.9 6.3 6.3 6.5 6.8 7.7 6.2 6.7 7.4 7.1 7.2 8.0 5.0 5.1 8.4 8.6 8.1 8.8 6.6 6.0 6.5 6.4 6.4 6.4 5.1 7.6 7.2 6.7 7.2 6.2 6.6 7.2 6.2 5.1 6.8 5.9 8.1 7.0 8.3 5.8 9.4 6.0 5.5 6.4 8.4 6.0 8.1 8.9 7.4 7.8 6.9 6.9 5.8 5.6 6.1 7.2 7.0 7.6 8.1 6.2 5.5 8.7 4.9 7.6 5.6 6.1 7.4 6.4 7.8 6.5 6.8 7.0 5 to 14 years 12.8 14.4 15.6 12.7 14.1 14.5 11.9 15.2 12.5 13.8 14.7 15.2 14.0 15.6 10.9 11.5 15.5 15.5 15.6 15.4 13.6 12.5 13.3 13.4 14.0 13.5 11.5 14.1 13.9 15.0 16.2 14.0 13.5 14.8 13.5 11.8 12.6 13.0 16.7 14.5 16.2 12.8 17.5 13.6 12.2 13.6 16.1 12.7 17.0 16.0 14.4 15.5 15.4 14.2 12.7 13.2 12.8 14.5 13.9 15.7 17.3 13.0 10.9 14.8 12.7 14.6 12.7 13.2 15.2 13.7 15.3 14.1 13.7 13.1 15 to 24 years 17.4 14.3 15.1 14.4 12.7 14.4 26.7 14.9 20.4 15.2 16.9 12.0 14.1 15.1 21.5 15.2 14.2 14.1 14.5 14.1 13.3 13.1 14.1 14.7 13.2 14.3 12.7 13.1 13.6 12.7 13.1 12.4 13.4 15.4 15.3 16.4 15.3 17.7 16.9 15.7 14.3 14.3 15.9 15.9 15.4 14.4 17.2 18.8 17.6 16.7 15.4 18.4 13.8 14.0 13.7 15.3 16.8 14.1 14.0 13.9 16.9 13.2 22.7 14.8 13.8 14.1 20.0 15.0 15.1 14.3 17.8 14.7 13.4 18.5 25 to 34 years 14.0 13.4 16.8 14.0 12.0 12.1 18.6 14.2 17.2 14.2 13.7 12.8 15.8 12.5 16.1 12.3 16.3 16.8 15.2 14.9 12.1 10.8 12.5 12.4 12.6 11.0 10.8 16.4 14.5 13.3 13.5 13.1 12.3 12.8 11.3 11.4 17.5 13.1 13.8 12.8 13.7 11.8 13.4 11.9 14.3 12.2 15.6 16.2 12.2 15.8 15.3 15.1 12.9 12.8 12.3 11.5 16.6 12.7 12.9 13.2 14.4 12.6 17.9 17.0 12.1 13.4 14.4 12.6 13.9 11.5 16.0 13.1 14.4 17.0 35 to 44 years 12.3 15.7 15.0 14.9 15.3 14.3 11.1 16.2 13.8 15.3 14.2 14.8 16.0 14.1 12.2 13.8 16.5 16.6 16.1 15.1 13.8 14.2 14.2 14.5 15.7 13.2 13.4 16.4 15.9 15.9 15.1 16.6 14.3 15.3 14.4 13.8 15.1 14.1 15.0 16.0 14.6 14.7 13.9 14.0 13.4 14.7 15.3 14.0 14.0 15.2 14.4 13.5 14.9 14.2 14.1 15.4 14.5 14.4 15.9 14.6 13.9 13.4 12.1 15.0 15.6 15.2 13.4 13.5 15.4 14.7 14.3 16.5 15.3 13.7 45 to 54 years 13.6 14.5 11.5 13.7 15.0 14.8 9.8 14.4 13.0 14.5 13.2 14.6 14.0 13.8 14.9 13.8 13.2 13.0 13.5 12.6 14.0 15.3 14.8 14.6 14.5 15.2 13.7 14.6 14.3 14.9 14.2 15.5 14.3 13.1 14.5 15.8 13.8 14.0 12.2 14.1 13.2 14.8 12.1 14.8 15.3 14.8 14.7 13.8 13.5 11.9 12.4 14.1 14.6 14.8 14.5 14.9 14.8 13.6 14.0 14.3 12.1 14.5 12.6 11.9 15.0 13.7 13.4 14.6 14.0 14.4 12.7 14.6 14.0 12.8 55 to 64 years 9.6 9.3 7.5 11.2 10.1 10.5 6.5 8.6 7.7 9.7 8.7 10.8 8.9 9.2 8.9 11.3 8.1 7.9 8.5 9.3 10.5 11.6 10.5 10.4 11.0 10.7 11.5 8.8 9.4 9.7 9.0 10.3 10.9 9.3 9.9 10.2 8.6 9.2 7.1 9.0 8.8 10.3 7.7 9.7 10.5 10.0 7.8 7.9 8.3 7.1 9.1 8.2 9.8 10.8 11.4 9.7 8.7 10.4 9.4 9.1 7.6 11.1 8.2 8.5 11.2 9.5 8.3 9.6 8.5 10.4 7.8 9.0 10.1 8.0 65 to 74 years 6.7 6.0 5.4 7.3 6.9 6.8 4.5 4.9 4.7 5.7 6.0 6.9 5.3 6.3 5.0 8.2 4.4 4.2 4.8 5.7 7.9 8.3 6.8 7.0 7.1 7.7 10.5 4.8 5.6 5.8 5.7 6.0 7.8 6.8 7.3 7.1 5.2 6.2 5.5 6.1 5.5 7.3 5.6 6.6 6.4 6.9 3.1 5.0 5.4 5.0 6.1 4.7 6.4 6.6 8.2 6.7 5.0 7.0 8.2 5.7 4.9 8.1 5.3 5.3 7.5 6.9 5.6 7.6 5.3 7.5 4.4 5.7 6.5 5.3 75 years and over 8.3 5.6 4.2 5.4 7.5 6.1 4.1 3.8 4.5 4.9 5.2 5.7 4.7 5.4 5.6 8.9 3.4 3.3 3.7 4.1 8.2 8.3 7.2 6.5 5.6 8.0 10.8 4.2 5.6 6.0 6.0 6.0 7.0 5.2 7.6 8.3 5.1 6.9 4.8 4.8 5.4 8.2 4.5 7.6 7.1 7.0 1.9 5.5 3.9 3.2 5.4 2.7 5.5 5.6 7.4 7.6 4.6 6.1 4.7 5.9 4.9 7.8 4.7 4.0 7.2 5.2 6.6 7.8 5.3 7.1 3.8 5.8 5.9 4.6 One race (percent) Black or African AmeriWhite can alone alone 89.7 85.7 74.7 94.5 77.3 96.4 83.0 85.9 86.1 63.0 56.2 95.0 81.6 93.5 90.9 94.2 79.7 78.1 82.8 95.0 87.2 66.1 90.9 82.2 84.3 83.2 87.6 87.8 91.8 72.4 53.6 87.8 74.9 74.9 97.1 94.7 66.1 96.0 90.6 83.8 92.0 91.1 94.2 91.7 92.6 92.5 78.6 95.3 57.9 54.5 93.4 65.1 76.3 57.5 86.1 97.0 95.0 84.9 84.3 86.8 81.8 83.7 74.8 90.3 96.7 63.9 94.3 96.5 88.2 90.4 95.8 93.7 72.6 62.8 1.5 11.5 20.2 3.5 19.6 0.3 12.2 6.9 8.6 34.2 40.3 1.7 13.6 3.5 0.9 4.7 14.0 15.2 11.6 2.8 11.0 33.0 6.1 14.5 11.9 14.5 10.0 5.8 4.0 23.0 42.4 7.0 23.5 20.7 1.1 0.9 28.7 0.4 4.3 11.4 5.1 6.5 2.8 6.3 0.9 5.6 6.7 1.1 0.6 37.7 1.5 1.0 20.3 41.1 12.5 1.0 0.8 3.7 9.4 9.8 5.7 14.8 19.9 6.9 2.0 33.6 1.2 0.5 7.9 1.5 0.8 1.2 23.8 35.1 Native Ameri- Hawaican ian and Indian, Other Alaska Pacific Asian Native Islander alone alone alone 3.8 1.5 1.7 0.7 1.7 0.5 3.4 2.8 3.2 1.4 1.4 2.3 2.9 1.2 5.2 0.5 4.3 4.8 3.5 0.8 0.6 0.4 1.4 1.6 0.4 0.8 1.2 3.4 2.7 2.9 2.1 3.5 0.5 1.8 0.7 0.7 3.6 2.2 2.1 1.9 1.1 1.0 1.0 0.7 2.4 0.7 2.0 1.4 0.3 2.1 1.5 0.9 0.9 0.6 0.4 0.9 1.8 2.0 2.8 1.5 8.6 0.4 3.6 1.4 0.5 1.0 1.0 0.6 1.7 0.9 1.0 2.0 2.2 1.0 1.8 0.2 0.6 0.3 0.2 1.3 0.4 1.0 0.4 0.3 0.4 0.2 0.3 0.8 0.7 0.1 0.6 0.6 0.6 0.4 0.2 0.2 0.3 0.2 1.8 0.2 0.3 1.0 0.3 0.3 0.4 0.3 0.4 0.6 0.2 2.4 0.4 0.5 2.0 0.4 0.3 0.2 1.0 0.2 1.1 0.2 7.3 1.1 39.5 2.7 1.5 31.4 0.5 0.2 0.3 0.4 0.7 5.8 0.6 0.4 1.9 0.3 0.3 0.4 0.2 0.4 2.0 0.9 0.5 4.7 1.1 2.0 0.5 0.3 0.2 0.0 0.3 0.0 0.0 0.1 0.1 0.3 0.0 0.1 0.2 0.0 0.0 0.2 0.3 0.0 0.1 0.1 0.1 0.1 0.0 0.0 0.0 0.0 0.1 0.0 0.0 0.1 0.1 0.0 0.0 0.0 0.0 0.0 0.1 0.0 0.0 0.0 0.3 0.2 0.1 0.0 0.2 0.0 0.2 0.0 0.3 0.1 0.1 0.3 0.4 0.1 0.0 0.0 0.0 0.0 0.1 0.1 0.1 0.0 0.2 0.0 0.0 0.3 0.0 0.1 0.1 0.1 0.1 0.1 0.2 0.0 0.0 0.0 Hispanic or Latino Males oriper gin,1 (per100 cent) females 11.3 1.2 3.9 2.1 3.5 2.6 18.7 11.6 1.8 2.6 3.5 2.7 2.1 55.1 5.1 0.7 24.3 26.1 20.8 20.0 3.3 1.5 6.1 1.2 3.4 1.1 7.9 20.3 4.5 3.1 4.2 2.3 1.5 3.5 1.2 0.8 8.0 0.8 74.7 2.9 10.7 2.2 81.3 2.2 5.1 1.1 4.7 1.8 15.4 5.6 9.8 11.1 2.4 1.1 1.1 2.5 8.9 5.3 4.3 4.2 46.0 2.0 5.7 22.6 1.9 5.5 2.8 10.3 6.9 2.6 29.7 3.7 5.2 4.5 96.6 95.1 101.8 96.5 92.1 97.9 100.9 100.7 94.0 94.0 99.6 97.0 96.9 96.2 100.1 98.4 100.2 100.7 99.4 100.3 96.9 90.3 95.7 93.9 96.3 91.0 95.2 100.7 95.5 95.0 92.5 97.1 91.7 93.3 95.2 97.7 94.1 96.0 108.4 100.3 99.6 97.5 92.4 95.8 97.0 93.6 108.9 98.7 98.3 102.5 99.7 99.7 92.7 89.3 92.1 96.2 100.3 97.6 102.1 96.7 100.8 92.1 96.6 103.9 100.0 97.5 101.8 95.9 99.3 97.8 101.3 99.5 93.8 92.2



Columbus, OH . . . . . . . . . . Corpus Christi, TX . . . . . . . . Corvallis, OR . . . . . . . . . . . Cumberland, MD-WV . . . . . . Dallas-Fort Worth-Arlington, Dallas-Plano-Irving, TX . . . Fort Worth-Arlington, TX . .



... ... ... ... TX . ... ...



Dalton, GA . . . . . . . . . . . . . . . . . Danville, IL . . . . . . . . . . . . . . . . . Danville, VA . . . . . . . . . . . . . . . . Davenport-Moline-Rock Island, IA-IL Dayton, OH . . . . . . . . . . . . . . . . Decatur, AL . . . . . . . . . . . . . . . .



Decatur, IL . . . . . . . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, FL Denver-Aurora, CO2 . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . . . . . . . . . . . Detroit-Warren-Livonia, MI. . . . . . . . . . . Detroit-Livonia-Dearborn, MI . . . . . . . . . Warren-Farmington Hills-Troy, MI . . . . . . Dothan, AL . . . Dover, DE . . . Dubuque, IA . . Duluth, MN-WI Durham, NC . . Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



El Centro, CA . . . . Elizabethtown, KY . Elkhart-Goshen, IN. Elmira, NY . . . . . . El Paso, TX . . . . . Erie, PA . . . . . . . .



Eugene-Springfield, OR Evansville, IN-KY . . . . . Fairbanks, AK . . . . . . . Fargo, ND-MN. . . . . . . Farmington, NM. . . . . . Fayetteville, NC . . . . . .



Fayetteville-Springdale-Rogers, AR-MO . Flagstaff, AZ . . . . . . . . . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Florence, SC. . . . . . . . . . . . . . . . . . . Florence-Muscle Shoals, AL. . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Fort Wayne, IN . . . . . . . . . . . . . . . . . Fresno, CA . . . . . . . . . . . . . . . . . . . . Gadsden, AL. . . . . . . . . . . . . . . . . . . Gainesville, FL . . . . Gainesville, GA . . . . Glens Falls, NY . . . . Goldsboro, NC . . . . Grand Forks, ND-MN Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Grand Rapids-Wyoming, MI . Great Falls, MT . . . . . . . . . Greeley, CO2 . . . . . . . . . . Green Bay, WI . . . . . . . . . Greensboro-High Point, NC . Greenville, NC. . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



133



Table B-3. Metropolitan Areas — Population by Age, Race, and Sex—Con.

Population characteristics, 2003 Age (percent) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Under 5 years Greenville, SC. . . . . . . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . . Hagerstown-Martinsburg, MD-WV . Hanford-Corcoran, CA . . . . . . . . Harrisburg-Carlisle, PA . . . . . . . . Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 7.2 6.1 7.7 5.7 5.8 5.8 7.1 6.4 12.3 7.1 6.8 5.8 7.1 8.3 5.7 6.4 8.3 7.6 5.8 4.1 6.1 7.4 6.8 7.1 10.8 6.6 6.2 5.4 4.9 7.0 7.3 6.5 7.1 7.2 7.8 9.8 5.4 5.0 5.9 6.9 5.6 6.0 7.3 7.2 6.8 6.7 6.1 12.5 7.9 7.6 5.7 8.1 5.6 6.0 5.7 6.7 7.0 7.0 7.0 10.6 7.1 6.2 7.4 7.5 7.4 6.7 7.6 5.7 7.3 7.6 6.1 5 to 14 years 13.5 14.2 13.3 15.7 12.8 11.5 13.4 14.1 13.7 18.6 15.3 12.6 11.8 14.9 16.0 12.1 14.1 17.1 15.2 11.1 9.5 14.2 14.8 13.8 14.6 13.8 14.5 13.4 11.4 11.3 13.6 14.1 13.7 14.7 14.4 16.1 15.8 11.9 12.6 12.3 14.5 12.9 12.3 14.6 14.4 13.9 14.7 13.4 19.6 15.9 14.8 10.8 15.1 13.0 12.9 12.8 12.7 13.9 12.6 14.1 16.3 14.3 14.5 15.5 15.6 15.0 13.9 13.9 13.0 14.8 15.9 12.4 15 to 24 years 14.5 14.7 13.2 16.9 13.5 23.4 13.3 18.0 12.7 17.9 17.3 13.7 12.1 16.1 14.6 13.9 14.0 16.7 13.3 20.4 27.6 13.7 15.4 16.0 13.9 25.6 14.1 15.0 13.5 13.6 15.7 14.8 16.9 15.2 13.5 16.0 16.6 12.1 14.1 13.7 12.9 17.9 23.3 16.1 15.5 13.3 14.2 17.9 16.3 17.9 12.6 24.8 18.0 13.1 13.8 14.1 14.8 15.2 17.7 14.0 21.7 14.9 14.1 14.0 14.2 13.3 13.1 18.4 14.8 14.5 16.1 16.0 25 to 34 years 14.1 13.6 13.9 17.8 12.3 13.5 12.0 15.5 13.8 16.8 12.9 13.8 11.2 12.6 15.4 13.0 13.2 11.8 14.5 19.0 16.7 12.8 14.0 13.4 13.4 15.6 12.2 14.0 14.4 10.9 14.8 13.1 13.9 12.7 14.0 13.3 16.5 12.3 12.3 13.9 12.2 13.3 16.8 14.2 12.7 11.8 11.7 14.3 14.9 13.7 16.4 19.6 15.0 11.5 11.5 11.9 16.6 11.7 16.2 14.3 18.7 12.3 12.0 15.7 15.9 15.1 13.5 15.7 11.7 13.4 14.4 16.0 35 to 44 years 15.1 15.0 16.0 16.8 15.2 12.8 16.3 13.7 15.2 14.7 15.2 14.9 13.1 15.4 15.8 13.7 16.6 13.6 16.2 13.9 12.2 15.8 14.8 14.4 15.8 12.3 15.5 16.0 14.8 13.6 13.7 13.8 13.9 14.1 15.8 14.2 14.6 14.6 16.2 15.1 14.1 14.0 12.4 15.2 14.5 13.3 14.7 14.1 13.0 13.0 15.5 12.3 14.4 14.8 13.4 16.3 15.6 14.2 14.0 15.0 10.2 14.0 14.0 16.0 15.8 16.5 15.6 12.8 14.2 14.6 14.2 15.9 45 to 54 years 13.9 13.6 14.3 11.3 15.7 12.2 15.1 12.3 14.0 9.5 13.4 14.1 13.6 13.6 13.9 14.7 14.2 13.5 14.0 13.1 12.3 14.9 14.1 13.9 14.4 9.3 14.5 14.4 14.4 15.7 13.0 13.4 14.3 13.8 14.4 14.0 11.0 14.9 15.7 14.6 14.4 14.3 11.6 14.2 14.1 12.5 14.1 14.4 9.9 12.1 12.7 11.7 11.7 14.7 14.6 14.7 14.2 14.4 13.7 14.2 9.2 13.8 14.8 13.1 13.0 13.4 15.0 12.3 14.6 14.0 12.5 14.7 55 to 64 years 10.4 9.7 10.1 6.6 10.5 8.6 10.4 8.5 11.0 5.3 8.4 10.3 11.8 9.5 8.3 11.5 10.0 8.9 8.8 7.7 8.2 9.8 8.9 9.4 9.8 5.3 9.8 9.4 11.4 10.7 10.0 10.0 9.3 9.5 9.5 9.0 7.0 12.6 11.0 10.8 11.3 8.9 7.8 8.5 9.4 10.6 9.6 9.3 6.3 8.3 9.7 6.9 7.6 10.8 10.8 10.3 9.2 9.8 8.3 9.8 5.5 9.8 10.9 8.4 8.2 9.0 10.0 8.1 11.2 9.5 8.4 8.9 65 to 74 years 6.4 6.8 6.9 3.9 7.1 6.1 6.4 5.8 7.3 2.9 5.1 6.7 10.6 6.1 4.5 8.2 6.8 5.3 5.5 4.4 4.6 6.2 5.7 6.2 6.1 4.6 6.5 5.9 7.7 8.6 6.5 6.8 5.8 6.5 5.8 5.0 4.7 8.6 6.7 7.2 7.3 6.3 4.8 5.5 6.6 9.2 6.8 5.3 4.1 6.3 6.4 4.0 5.8 7.9 8.0 6.9 5.5 6.7 5.2 6.2 3.8 7.3 6.7 5.2 5.1 5.3 6.4 5.9 7.8 6.2 5.7 4.9 75 years and over 5.6 5.2 6.2 3.4 7.2 6.1 7.3 5.0 5.9 1.9 5.3 7.1 10.1 4.7 3.3 7.2 4.7 4.9 5.0 4.6 4.8 6.4 5.0 6.2 4.9 2.6 6.3 5.6 7.1 10.7 5.8 6.7 5.8 6.4 5.6 4.6 4.0 7.6 6.5 6.5 6.5 6.8 5.0 4.4 5.5 8.5 7.4 5.1 3.5 5.0 4.3 4.1 4.4 8.6 9.1 7.2 4.8 7.2 5.4 5.3 4.0 6.5 6.8 4.8 4.8 4.9 5.8 5.3 7.0 5.7 5.0 5.0 One race (percent) Black or African AmeriWhite can alone alone 80.1 76.0 91.5 84.1 86.9 93.9 84.9 71.9 89.6 55.4 94.9 22.3 89.3 78.4 76.1 96.0 74.3 96.8 82.5 91.0 84.7 89.5 52.4 68.4 72.9 74.9 92.8 90.7 95.5 95.9 89.5 94.2 87.1 82.3 83.2 93.7 73.9 96.9 90.6 91.1 91.7 94.8 92.0 71.8 74.4 82.8 93.8 85.8 98.2 93.7 81.3 87.3 66.5 96.7 93.8 96.8 85.9 85.4 91.8 74.9 96.0 80.1 94.2 75.6 74.3 80.0 84.0 89.4 79.8 56.1 89.3 90.8 17.5 19.5 6.5 8.7 9.7 3.4 10.7 26.5 6.8 38.6 1.2 3.1 8.1 15.7 16.8 2.5 21.5 0.6 14.4 2.8 4.0 7.9 46.1 29.9 22.7 18.7 4.6 7.2 2.8 3.0 8.8 1.3 8.7 15.6 12.7 1.6 19.4 1.9 6.4 6.3 5.8 0.9 2.2 26.0 23.7 14.7 3.3 8.6 0.5 2.2 9.1 4.1 20.8 1.5 0.3 0.9 10.6 12.2 2.8 22.3 0.5 17.8 0.6 8.1 9.9 1.8 13.3 7.8 18.3 42.1 4.0 3.7 Native Ameri- Hawaican ian and Indian, Other Alaska Pacific Asian Native Islander alone alone alone 1.4 2.4 0.7 3.2 2.1 1.4 2.8 0.8 2.5 1.9 2.4 46.9 0.6 0.8 5.4 0.5 1.9 0.8 1.6 4.6 9.0 0.6 0.8 0.7 2.6 2.2 0.9 0.7 0.6 0.4 0.5 0.7 1.7 0.8 2.0 2.2 2.5 0.4 1.5 1.2 1.0 3.0 4.5 1.3 0.7 1.1 1.6 3.1 0.4 1.0 5.5 3.6 2.3 0.9 0.7 0.7 2.1 0.8 3.2 1.1 1.9 0.6 1.3 13.2 12.7 14.9 1.2 1.3 0.8 1.0 1.5 3.7 0.2 0.5 0.2 1.9 0.2 0.2 0.3 0.2 0.3 0.7 0.4 0.3 0.6 4.0 0.5 0.2 0.7 0.7 0.3 0.3 0.3 0.4 0.1 0.2 0.4 0.7 0.3 0.4 0.2 0.1 0.3 1.6 0.5 0.2 0.5 0.9 0.9 0.2 0.3 0.3 0.4 0.4 0.3 0.3 0.3 0.4 0.2 0.5 0.6 1.6 0.9 2.6 5.4 0.2 3.9 0.3 0.2 0.2 0.7 0.4 0.7 0.6 1.6 1.0 1.1 0.9 0.3 0.7 0.3 0.2 3.0 0.4 0.1 0.1 0.0 0.3 0.0 0.0 0.1 0.0 0.1 0.5 0.0 8.7 0.0 0.0 0.1 0.0 0.1 0.1 0.0 0.1 0.0 0.1 0.0 0.0 0.1 0.3 0.1 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.1 0.1 0.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.1 0.1 0.2 0.5 0.1 0.5 0.0 0.0 0.1 0.0 0.0 0.1 0.0 0.2 0.0 0.1 0.3 0.3 0.3 0.1 0.1 0.0 0.0 0.4 0.0 Hispanic or Latino Males oriper gin,1 (per100 cent) females 4.0 2.3 1.4 45.4 2.7 6.4 9.8 1.3 5.0 6.4 7.4 6.8 2.7 1.7 31.1 0.7 2.2 8.5 3.3 2.6 3.6 2.4 1.1 1.8 4.1 4.8 4.5 1.3 1.5 1.0 2.2 3.7 4.1 5.9 5.7 23.1 17.1 0.8 7.0 1.4 1.7 0.9 5.2 1.7 1.5 11.4 6.0 4.9 95.1 64.9 24.4 3.5 7.3 5.2 1.9 1.1 3.4 1.5 3.5 2.1 7.3 9.2 5.2 43.0 46.3 32.1 2.0 29.6 1.0 1.3 47.2 3.4 96.3 98.8 102.1 134.0 94.4 94.8 94.1 91.7 98.4 110.6 97.0 100.3 94.7 96.2 99.9 93.7 97.2 99.9 96.2 98.0 98.9 104.4 91.8 93.1 95.4 128.6 97.5 106.4 96.1 94.9 94.6 95.4 95.2 95.0 96.1 102.7 101.5 93.2 98.8 94.1 94.3 94.9 105.4 95.4 95.6 96.9 95.6 95.0 93.0 97.0 103.6 99.1 107.0 95.3 94.9 95.0 96.6 100.1 100.2 94.4 97.9 97.2 98.2 98.3 98.0 99.4 94.9 96.0 92.5 88.3 94.0 98.8



Hartford-West Hartford-East Hartford, CT . Hattiesburg, MS. . . . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . . Holland-Grand Haven, MI . . . . . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . . . . . Hot Springs, AR. . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA Houston-Sugar Land-Baytown, TX . Huntington-Ashland, WV-KY-OH . . . Huntsville, AL . . . . . . . . . . . . . . . Idaho Falls, ID. . . . . . . . . . . . . . . Indianapolis, IN . Iowa City, IA . . . Ithaca, NY . . . . Jackson, MI . . . Jackson, MS . . . Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Jacksonville, FL. . . Jacksonville, NC . . Janesville, WI . . . . Jefferson City, MO . Johnson City, TN . . Johnstown, PA . . .



Jonesboro, AR . . . . . . . . . . . . Joplin, MO . . . . . . . . . . . . . . . Kalamazoo-Portage, MI . . . . . . Kankakee-Bradley, IL . . . . . . . . Kansas City, MO-KS. . . . . . . . . Kennewick-Richland-Pasco, WA . Killeen-Temple-Fort Hood, TX . Kingsport-Bristol-Bristol, TN-VA Kingston, NY. . . . . . . . . . . . . Knoxville, TN . . . . . . . . . . . . Kokomo, IN . . . . . . . . . . . . . La Crosse, WI-MN . . . . . . . . . Lafayette, IN . . . . . . . . . Lafayette, LA . . . . . . . . Lake Charles, LA . . . . . . Lakeland, FL. . . . . . . . . Lancaster, PA . . . . . . . . Lansing-East Lansing, MI Laredo, TX . . . . . . . . . . Las Cruces, NM . . . . . . Las Vegas-Paradise, NV . Lawrence, KS . . . . . . . . Lawton, OK . . . . . . . . . Lebanon, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Lewiston, ID-WA . . . . . . . . . . . Lewiston-Auburn, ME . . . . . . . . Lexington-Fayette, KY . . . . . . . Lima, OH . . . . . . . . . . . . . . . . Lincoln, NE. . . . . . . . . . . . . . . Little Rock-North Little Rock, AR.



Logan, UT-ID . . . . . . . . . . . . . . . . . . . . Longview, TX . . . . . . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Los Angeles-Long Beach-Glendale, CA . Santa Ana-Anaheim-Irvine, CA . . . . . . . Louisville, KY-IN Lubbock, TX . . . Lynchburg, VA. . Macon, GA . . . . Madera, CA . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



134



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-3. Metropolitan Areas — Population by Age, Race, and Sex—Con.

Population characteristics, 2003 Age (percent) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Under 5 years Manchester-Nashua, NH . . . . Mansfield, OH . . . . . . . . . . . McAllen-Edinburg-Mission, TX Medford, OR . . . . . . . . . . . . Memphis, TN-MS-AR . . . . . . Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.3 6.2 11.3 5.6 7.6 8.4 6.5 6.6 6.8 5.8 6.4 7.6 6.9 7.0 5.6 7.3 7.6 7.4 5.8 7.2 4.9 6.1 6.1 5.9 6.7 6.1 5.9 6.1 7.0 6.0 7.1 6.7 6.5 6.2 6.9 6.9 6.4 5.8 5.4 5.0 8.6 9.5 7.1 5.8 7.5 6.8 5.8 7.1 7.0 5.1 6.4 5.6 7.2 6.5 6.5 6.3 6.3 6.3 6.5 8.2 6.9 5.3 4.7 8.5 5.4 6.8 5.2 6.2 5.1 5.8 12.0 6.7 5 to 14 years 14.6 13.4 19.2 13.3 15.4 18.6 13.4 13.8 13.7 12.3 13.9 16.1 14.5 14.4 11.8 15.0 16.9 14.7 14.7 14.3 10.5 12.5 13.9 12.4 15.0 11.8 13.2 11.4 13.4 13.6 14.2 13.6 13.9 13.9 14.6 13.3 14.1 13.5 12.1 12.4 16.4 17.6 13.6 13.3 14.5 14.1 12.8 13.9 15.6 12.4 13.5 12.7 15.0 13.7 13.6 14.0 14.4 13.9 14.0 15.4 13.8 12.3 12.1 14.9 13.0 14.0 12.1 14.7 11.9 13.2 17.7 14.1 15 to 24 years 12.6 13.6 16.7 13.9 14.4 17.5 12.2 11.7 13.1 11.2 13.4 15.7 13.8 13.8 17.4 14.6 16.2 16.2 14.6 15.2 20.3 13.4 15.0 19.3 14.5 12.5 13.8 11.0 13.9 13.3 14.6 12.5 12.0 12.4 12.3 12.7 14.0 13.5 11.9 11.9 16.2 17.9 15.4 14.8 14.6 13.6 15.7 14.0 14.4 12.2 13.2 13.2 14.7 15.6 13.9 13.6 13.5 13.6 14.2 13.9 15.8 12.6 14.0 17.0 12.8 13.3 11.6 15.0 12.4 14.2 21.0 14.7 25 to 34 years 12.5 11.9 14.8 11.9 14.3 14.0 12.7 12.9 13.5 11.0 12.6 11.6 12.8 14.6 15.8 12.9 14.3 13.7 12.1 13.9 16.5 14.0 12.2 13.6 12.5 14.4 12.8 11.1 15.3 12.7 13.2 14.3 12.5 11.8 12.5 15.5 11.3 12.2 10.1 9.8 12.5 14.8 14.5 13.5 14.3 14.5 13.4 12.0 13.1 9.7 12.3 11.3 13.0 12.4 12.5 12.7 12.5 12.7 13.5 15.7 12.6 11.3 10.5 14.4 11.8 15.5 9.8 12.5 9.8 13.0 19.3 13.5 35 to 44 years 18.0 14.6 12.4 13.0 15.3 13.9 15.8 16.7 15.9 14.4 15.1 13.9 15.5 17.0 14.0 14.2 14.6 13.5 15.8 14.9 13.1 14.9 13.8 12.6 14.9 14.6 14.4 12.9 16.3 15.9 15.0 16.3 16.6 16.5 16.8 16.2 14.4 16.7 12.8 14.1 13.5 12.8 14.5 14.8 15.3 15.9 15.9 14.5 15.8 14.9 15.5 14.6 15.1 14.7 13.8 15.8 16.5 15.5 16.0 14.7 14.5 14.9 14.4 12.4 16.7 15.7 13.2 16.6 11.7 15.8 10.1 13.7 45 to 54 years 15.4 14.9 9.9 15.3 14.2 11.3 13.5 14.1 13.3 13.1 14.9 14.9 14.7 14.7 15.5 14.0 12.5 13.2 15.5 13.8 13.6 13.5 14.5 12.6 14.5 13.5 14.6 11.6 14.5 14.5 14.7 14.0 14.5 15.0 14.7 13.6 14.7 15.0 12.2 14.6 13.4 11.5 14.0 15.9 14.0 13.6 14.6 14.3 14.3 14.2 14.4 15.4 13.8 13.9 14.6 14.5 14.7 14.5 14.4 12.1 13.8 15.7 15.2 13.6 16.3 15.1 12.9 14.5 14.1 14.3 8.2 13.4 55 to 64 years 9.9 10.7 6.3 11.2 9.0 7.3 9.9 9.6 10.1 10.1 10.2 8.2 9.3 8.9 9.9 9.8 8.0 9.0 10.2 9.2 9.3 11.9 10.2 10.1 9.3 11.6 10.7 12.0 9.4 10.0 9.7 9.9 9.8 10.7 10.2 9.6 10.6 10.2 11.5 12.0 8.3 7.1 9.5 10.4 9.0 9.2 9.3 10.6 9.3 11.4 10.6 11.8 10.3 9.9 10.3 9.9 9.8 9.9 9.8 8.6 9.9 10.7 11.4 8.6 10.7 9.5 11.3 9.7 13.3 9.8 5.1 9.1 65 to 74 years 5.4 7.7 4.9 7.5 5.3 4.9 7.6 6.5 7.3 9.6 6.6 6.3 6.1 4.8 5.1 6.4 5.1 6.7 6.0 6.2 6.0 8.0 6.8 6.9 6.2 9.2 6.7 12.8 5.6 6.2 5.9 6.4 6.8 6.9 6.1 6.3 7.2 6.4 12.4 9.8 6.1 4.7 6.1 5.7 5.7 6.7 6.1 7.2 5.4 10.6 8.3 8.1 6.5 7.6 7.2 6.5 6.2 6.6 6.0 6.0 6.5 8.0 8.2 5.4 6.7 5.0 11.6 5.7 11.7 6.3 3.4 7.3 75 years and over 5.2 7.1 4.5 8.4 4.6 4.1 8.3 8.1 6.2 12.5 6.9 5.6 6.3 4.8 5.0 5.7 4.9 5.7 5.3 5.3 5.6 5.6 7.5 6.7 6.5 6.4 7.8 11.1 4.7 7.7 5.5 6.3 7.4 6.5 5.9 6.0 7.3 6.6 11.5 10.4 4.9 4.0 5.3 5.8 5.2 5.6 6.4 6.5 5.1 9.4 5.8 7.4 4.4 5.7 7.5 6.7 6.0 7.0 5.6 5.4 6.3 9.3 9.6 5.1 6.7 5.2 12.3 5.2 10.2 7.6 3.1 7.5 One race (percent) Black or African AmeriWhite can alone alone 94.4 88.5 97.7 95.0 52.4 85.3 75.7 71.3 76.2 80.8 87.9 90.6 79.2 86.9 94.1 62.3 87.7 65.1 96.0 56.5 93.8 95.6 94.0 91.2 82.8 81.7 90.7 92.2 81.5 83.0 58.2 69.2 82.2 84.3 71.6 62.5 80.9 88.1 85.8 93.4 92.8 94.6 78.9 87.2 88.4 79.1 95.5 94.6 88.4 87.4 84.5 97.4 76.8 77.1 88.6 74.2 78.6 72.1 78.0 89.4 52.1 89.7 95.5 93.5 96.5 88.1 85.5 85.4 96.0 90.7 95.7 93.6 1.7 9.5 0.7 0.5 44.9 4.1 20.9 24.3 20.9 15.9 10.1 6.9 16.4 5.9 0.4 34.4 3.0 33.4 2.0 41.4 2.7 2.9 0.5 6.7 14.2 15.9 1.8 6.0 15.1 12.4 37.9 20.2 7.8 9.8 22.7 24.7 15.9 6.1 12.0 5.0 4.7 1.4 10.9 2.6 7.8 15.7 1.2 3.9 2.2 9.0 11.1 1.0 20.1 17.6 8.8 20.6 16.5 22.3 17.9 4.0 46.4 8.0 2.2 0.6 0.9 2.9 12.2 10.2 0.4 5.1 0.4 2.3 Native Ameri- Hawaican ian and Indian, Other Alaska Pacific Asian Native Islander alone alone alone 2.5 0.6 0.7 1.0 1.6 6.5 1.9 2.7 1.4 1.8 0.5 1.0 2.5 4.7 1.2 1.7 4.7 0.7 0.6 0.9 2.2 0.5 1.7 0.8 0.5 0.9 4.2 0.8 1.9 2.9 2.5 8.6 8.7 4.5 4.4 10.3 1.4 2.6 0.9 0.6 0.6 1.6 2.9 4.7 1.8 3.2 2.1 0.4 5.8 1.7 1.9 0.6 1.7 2.2 1.3 3.8 3.2 4.3 2.6 2.4 0.6 1.3 1.2 1.0 1.3 5.2 0.9 2.6 0.6 2.3 1.2 0.7 0.3 0.2 0.6 1.1 0.2 1.6 0.3 0.3 0.3 0.4 0.3 0.7 0.6 0.7 2.5 0.7 1.4 0.2 0.3 0.3 0.2 0.3 2.0 0.2 0.8 0.4 1.0 0.4 0.3 0.3 0.4 0.5 0.2 0.3 0.3 0.6 0.4 0.9 0.5 0.2 1.1 0.7 3.9 1.6 0.5 0.4 0.5 0.1 1.2 0.4 0.8 0.2 0.3 0.9 0.2 0.2 0.2 0.2 0.3 2.5 0.3 0.1 0.2 3.3 0.3 0.9 0.4 0.4 1.7 0.5 0.7 1.9 0.0 0.0 0.1 0.2 0.0 0.2 0.1 0.1 0.1 0.1 0.0 0.0 0.1 0.1 0.1 0.0 0.5 0.0 0.0 0.0 0.1 0.1 0.2 0.1 0.0 0.1 0.4 0.1 0.1 0.1 0.0 0.1 0.0 0.1 0.1 0.1 0.1 0.1 0.0 0.0 0.1 0.2 0.1 0.6 0.1 0.1 0.0 0.0 0.3 0.1 0.1 0.1 0.1 0.1 0.0 0.0 0.1 0.0 0.0 0.2 0.0 0.0 0.0 0.2 0.1 0.3 0.1 0.1 0.1 0.1 0.6 0.2 Hispanic or Latino Males oriper gin,1 (per100 cent) females 3.6 0.9 89.2 7.4 2.6 49.5 36.8 20.2 60.5 14.9 3.5 31.8 6.9 3.8 1.7 1.2 36.0 1.5 2.2 1.3 0.9 4.4 12.5 1.1 3.8 3.1 26.6 23.3 3.8 11.1 4.7 20.9 10.0 12.1 14.4 26.4 3.4 5.5 7.0 3.6 45.7 9.3 7.4 4.8 5.8 19.0 2.1 1.0 35.3 5.2 2.1 0.5 2.1 2.1 1.8 5.4 6.8 4.9 5.1 28.1 1.1 0.7 2.0 6.8 1.0 8.7 9.4 11.5 10.5 7.8 7.5 39.3 98.0 101.4 94.6 94.4 93.1 101.1 94.1 94.2 93.9 94.5 106.0 93.6 94.6 98.0 100.2 91.8 97.8 90.8 98.5 94.0 101.6 98.2 98.1 92.3 98.7 96.8 100.3 102.1 96.9 93.0 92.2 92.8 94.8 95.0 94.0 91.7 94.4 97.9 93.5 92.7 94.8 101.2 96.8 96.1 97.2 97.5 99.7 94.1 100.2 96.4 97.9 94.6 99.5 99.0 94.7 93.0 95.3 91.9 95.3 101.6 102.2 91.9 92.4 97.7 94.9 99.2 96.7 100.3 96.7 93.0 98.2 96.2



Miami-Fort Lauderdale-Miami Beach, FL . . . . . . . . . . Fort Lauderdale-Pompano Beach-Deerfield Beach, FL. Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . West Palm Beach-Boca Raton-Boynton Beach, FL . . . Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . Minneapolis-St. Paul-Bloomington, MN-WI Missoula, MT . . . . . . . . . . . . . . . . . . . Mobile, AL . . . . . . . . . . . . . . . . . . . . . Modesto, CA. . . . . . . . . . . . . . . . . . . . Monroe, LA . . . . . . . . . . . . . . . . . . . . Monroe, MI . . . . . . . . . . . . . Montgomery, AL . . . . . . . . . Morgantown, WV . . . . . . . . . Morristown, TN . . . . . . . . . . Mount Vernon-Anacortes, WA Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Muskegon-Norton Shores, MI. . . . . . . . . . . . Myrtle Beach-Conway-North Myrtle Beach, SC Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . Naples-Marco Island, FL . . . . . . . . . . . . . . . Nashville-Davidson-Murfreesboro, TN . . . . . . New Haven-Milford, CT. . . . . . . . . . . . . . . .



New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA Edison, NJ. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nassau-Suffolk, NY . . . . . . . . . . . . . . . . . . . . . . . . . Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . Niles-Benton Harbor, MI . Norwich-New London, CT Ocala, FL . . . . . . . . . . . Ocean City, NJ . . . . . . . Odessa, TX . . . . . . . . . Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Oklahoma City, OK . . . . . . . Olympia, WA. . . . . . . . . . . . Omaha-Council Bluffs, NE-IA . Orlando-Kissimee, FL . . . . . . Oshkosh-Neenah, WI . . . . . . Owensboro, KY . . . . . . . . . .



Oxnard-Thousand Oaks-Ventura, CA. Palm Bay-Melbourne-Titusville, FL . . Panama City-Lynn Haven, FL . . . . . Parkersburg-Marietta-Vienna, WV-OH Pascagoula, MS . . . . . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Peoria, IL . . . . . . . . . . . . . . . . . . Philadelphia-Camden-Wilmington, Camden, NJ . . . . . . . . . . . . . . Philadelphia, PA . . . . . . . . . . . . Wilmington, DE-MD-NJ . . . . . . . Phoenix-Mesa-Scottsdale, AZ . . . .



........... PA-NJ-DE-MD . ........... ........... ........... ........... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Pine Bluff, AR . . . . . . . . . . . . . . . . . . Pittsburgh, PA . . . . . . . . . . . . . . . . . . Pittsfield, MA. . . . . . . . . . . . . . . . . . . Pocatello, ID . . . . . . . . . . . . . . . . . . . Portland-South Portland-Biddeford, ME . Portland-Vancouver-Beaverton, OR-WA .



Port St. Lucie-Fort Pierce, FL. . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA. Provo-Orem, UT . . . . . . . . . . . . . . . . . . Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



135



Table B-3. Metropolitan Areas — Population by Age, Race, and Sex—Con.

Population characteristics, 2003 Age (percent) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Under 5 years Punta Gorda, FL . Racine, WI . . . . . Raleigh-Cary, NC. Rapid City, SD . . Reading, PA . . . . Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.8 6.8 7.6 7.4 6.0 5.4 6.9 6.4 7.5 5.8 6.8 5.8 6.9 7.0 7.1 6.6 6.5 6.3 8.8 6.0 6.5 7.1 8.0 6.0 9.3 7.3 7.8 7.2 5.8 6.4 6.9 5.7 7.5 4.7 6.6 6.3 5.7 5.9 5.0 7.3 4.9 6.3 6.1 6.8 5.7 6.9 7.3 7.4 7.3 6.9 6.4 6.3 6.4 5.6 6.3 6.6 4.2 7.7 8.0 6.0 6.2 6.0 6.1 6.8 6.5 6.7 6.3 6.9 7.2 6.6 7.3 5 to 14 years 9.1 14.6 14.4 14.1 13.6 13.6 14.1 13.9 17.2 12.7 14.1 13.7 14.8 14.8 13.7 14.9 14.7 13.2 16.0 13.0 14.2 14.7 15.6 12.6 16.3 14.0 15.6 14.4 13.4 12.5 14.2 10.1 13.7 11.6 13.8 12.7 12.9 13.3 10.7 14.4 11.8 13.3 12.9 14.8 13.8 13.9 14.4 14.9 14.2 14.5 14.0 13.7 13.6 13.2 13.0 13.6 9.6 16.8 15.3 13.7 12.0 12.7 13.2 14.0 14.0 13.8 13.6 13.9 14.4 13.2 14.5 15 to 24 years 9.1 14.1 13.5 15.7 14.0 15.0 13.5 13.8 16.0 12.5 13.9 14.5 13.7 13.3 15.2 14.8 14.3 19.5 17.9 15.1 14.0 15.3 15.8 17.3 16.6 17.2 15.3 14.8 12.9 11.5 12.8 9.5 12.1 17.0 16.8 15.6 13.2 14.0 10.0 15.1 13.3 13.3 12.7 15.3 14.1 14.7 15.0 14.7 15.0 15.6 13.5 15.6 13.0 16.3 15.8 14.2 26.3 16.4 15.2 15.3 19.2 11.8 16.2 14.3 15.3 13.9 14.6 14.5 14.2 17.8 15.2 25 to 34 years 7.7 11.6 17.2 12.9 11.9 11.2 14.6 13.4 14.4 11.7 13.6 12.2 13.4 12.4 13.7 14.5 11.8 14.6 14.3 13.0 12.8 14.2 15.2 12.8 16.5 12.5 14.2 15.4 10.3 15.3 14.3 16.7 15.7 13.3 14.1 13.6 12.1 12.2 9.7 14.5 11.2 15.0 15.4 14.0 11.9 12.1 13.2 13.0 14.3 12.3 13.5 13.4 12.7 12.3 14.3 11.4 17.6 14.2 12.4 12.1 16.6 12.1 13.0 13.5 13.3 11.8 13.1 13.8 13.2 14.9 12.8 35 to 44 years 10.6 16.1 17.5 14.4 15.5 13.6 15.2 16.0 15.0 14.8 16.4 15.5 15.1 14.9 14.1 15.3 14.1 14.7 10.0 15.3 15.5 13.6 14.9 14.6 13.7 13.3 14.7 15.7 14.3 17.0 16.5 17.8 17.6 13.9 14.2 15.2 15.0 15.0 12.5 14.6 14.4 17.0 17.3 15.9 15.9 13.9 13.9 14.1 15.6 13.9 15.0 14.5 15.3 14.7 14.2 13.7 12.5 14.6 14.9 15.3 13.6 14.8 13.7 14.4 14.2 14.4 15.9 13.6 14.6 13.3 13.4 45 to 54 years 11.7 14.9 13.7 14.5 14.3 14.9 14.7 15.1 12.2 15.5 14.3 15.0 14.0 14.9 13.0 14.0 14.7 12.9 9.0 13.9 14.6 13.4 12.6 13.9 12.2 13.0 13.1 13.3 15.6 15.2 14.9 15.7 14.2 15.4 13.1 16.7 17.3 16.4 12.9 13.4 14.7 15.3 15.7 14.1 15.2 13.7 13.9 14.0 13.9 14.1 14.3 14.8 15.5 14.6 13.4 14.6 11.5 12.4 13.3 14.7 13.9 13.9 13.9 13.7 14.6 15.1 14.6 13.4 14.3 13.8 13.2 55 to 64 years 14.0 9.8 8.3 8.9 10.1 11.3 10.3 9.9 7.6 11.5 9.2 10.3 9.7 10.2 9.6 8.9 10.3 7.8 7.1 9.3 9.7 9.1 8.1 9.8 7.3 9.0 8.6 8.4 11.8 10.2 9.8 10.8 9.3 9.9 8.7 10.0 12.3 10.7 12.2 9.2 11.1 9.5 9.7 9.0 9.6 10.2 9.4 9.0 8.3 9.3 10.8 9.5 10.2 9.7 9.6 11.2 7.9 8.0 8.9 9.9 9.1 10.7 9.7 10.1 9.5 10.3 9.6 9.7 10.0 8.9 9.6 65 to 74 years 16.9 6.1 4.4 6.4 7.0 7.6 6.1 5.9 5.2 7.8 5.8 6.2 6.2 6.7 7.1 5.7 6.7 5.5 8.3 6.8 6.4 5.9 5.0 6.6 4.2 7.0 5.7 5.4 8.0 5.9 5.4 6.7 5.4 6.8 6.1 4.8 6.5 5.8 12.4 5.9 8.3 5.1 5.0 5.3 6.5 7.5 6.7 6.1 5.6 6.2 6.6 5.9 6.5 6.2 6.7 7.4 5.4 4.9 6.5 6.4 5.2 8.6 6.6 6.6 6.2 7.0 6.0 7.3 6.4 6.2 7.4 75 years and over 17.2 6.1 3.5 5.6 7.5 7.5 4.8 5.5 4.9 7.8 6.0 6.7 6.2 5.8 6.5 5.4 6.8 5.5 8.6 7.7 6.3 6.7 4.9 6.4 3.8 6.8 5.0 5.6 7.9 5.9 5.3 6.9 4.6 7.5 6.7 5.1 5.0 6.7 14.6 5.5 10.3 5.1 5.1 4.8 7.3 7.2 6.2 6.7 5.9 7.2 5.9 6.4 6.9 7.4 6.6 7.4 5.0 5.0 5.4 6.7 4.2 9.3 7.4 6.7 6.5 6.9 6.2 6.9 5.7 5.3 6.6 One race (percent) Black or African AmeriWhite can alone alone 93.3 86.5 75.0 88.7 93.0 91.3 89.4 65.6 83.1 85.3 92.4 84.5 86.7 54.4 84.5 77.1 77.8 95.9 95.9 93.4 78.8 93.0 85.4 70.4 92.2 93.3 90.0 80.3 89.3 65.2 64.2 66.7 65.7 91.8 89.5 91.5 93.2 90.6 91.4 62.6 97.0 79.8 79.7 80.3 93.7 90.5 58.8 92.2 94.3 85.6 75.9 92.3 87.7 89.2 95.3 88.7 92.0 74.3 48.7 88.3 64.0 84.8 93.4 73.8 84.8 88.5 71.5 89.0 77.8 62.8 79.1 4.9 10.9 20.1 1.3 4.4 0.9 1.9 30.8 8.2 12.5 2.4 11.8 9.6 44.1 13.2 7.5 19.4 1.2 0.3 4.6 18.1 1.0 4.0 26.9 1.3 3.9 6.2 5.9 8.6 9.5 12.5 5.2 2.8 2.1 2.4 1.1 0.9 1.6 6.5 34.4 1.7 5.5 4.9 7.3 1.1 5.6 38.8 1.8 1.7 10.6 21.3 1.7 9.6 7.1 1.7 8.8 2.7 7.6 48.9 7.7 33.1 11.2 4.3 24.0 12.2 7.1 20.6 3.2 9.0 35.4 18.7 Native Ameri- Hawaican ian and Indian, Other Alaska Pacific Asian Native Islander alone alone alone 1.0 0.8 3.3 0.9 1.2 2.0 4.2 2.1 4.6 1.2 3.9 2.2 1.8 0.5 1.0 10.0 0.9 1.6 0.5 0.5 1.7 1.8 6.3 1.6 2.8 0.9 1.5 9.4 0.5 20.9 18.6 24.3 27.8 2.8 4.2 3.7 1.1 3.6 1.0 1.7 0.7 9.5 10.7 5.4 4.0 0.6 1.0 2.8 1.1 1.5 1.7 1.9 1.3 1.9 0.9 0.6 4.3 13.0 1.0 2.0 1.6 2.2 1.0 0.5 1.3 0.9 6.3 2.3 1.4 0.9 0.8 0.2 0.4 0.4 6.4 0.2 2.5 2.0 0.4 1.4 0.2 0.3 0.3 0.4 0.5 0.3 1.1 0.4 0.3 1.6 0.5 0.2 1.7 1.4 0.3 1.0 0.8 1.0 1.0 0.2 0.6 0.7 0.5 0.8 1.0 1.6 1.2 3.4 1.3 0.3 0.3 0.1 1.2 1.1 1.5 0.4 1.3 0.4 1.8 1.7 0.5 0.3 1.5 0.2 0.3 0.7 0.3 0.2 1.3 0.3 0.7 0.3 0.4 0.3 0.6 0.3 1.4 0.2 3.7 7.3 0.2 0.5 0.0 0.1 0.1 0.1 0.1 0.1 0.5 0.1 0.4 0.0 0.0 0.0 0.1 0.0 0.2 0.5 0.0 0.0 0.5 0.0 0.0 0.4 0.6 0.0 1.3 0.1 0.2 0.5 0.0 0.7 0.6 0.8 0.4 0.1 0.3 0.2 0.1 0.3 0.1 0.1 0.0 0.6 0.5 0.9 0.0 0.0 0.1 0.0 0.1 0.1 0.0 0.2 0.0 0.3 0.1 0.0 0.1 0.5 0.1 0.0 0.0 0.1 0.0 0.0 0.0 0.1 0.2 0.2 0.1 0.0 0.1 Hispanic or Latino Males oriper gin,1 (per100 cent) females 3.8 8.6 7.0 2.5 10.6 6.6 18.4 2.6 40.9 1.4 2.4 5.2 9.5 3.5 6.5 16.9 6.9 1.5 5.7 2.0 1.7 17.8 49.7 2.0 13.0 32.9 52.1 28.7 2.2 18.9 20.2 17.1 25.4 17.3 36.1 27.7 49.5 19.8 7.9 2.0 1.5 6.2 6.1 6.3 3.9 8.0 2.1 10.9 2.0 4.7 3.4 3.1 1.3 12.1 1.7 1.3 1.5 33.4 1.6 2.6 3.9 12.0 0.9 3.6 4.6 6.5 10.9 31.9 5.3 1.3 13.0 91.2 98.2 99.3 99.4 96.5 95.5 103.3 93.8 100.0 92.1 97.4 94.6 96.8 90.4 94.4 96.8 93.0 100.6 97.7 104.0 93.2 100.8 107.4 95.9 102.3 93.9 95.9 101.4 95.0 98.1 96.6 100.3 103.3 105.6 100.3 100.0 96.2 97.6 92.6 94.0 92.3 99.5 99.6 99.2 101.3 94.8 91.9 97.1 99.0 94.7 94.9 96.7 91.8 91.6 95.7 93.0 105.1 100.5 93.2 93.6 93.9 93.9 99.3 99.4 94.1 95.8 95.5 95.8 96.1 93.7 92.5



Reno-Sparks, NV. . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . . . . . . Riverside-San Bernardino-Ontario, CA . Roanoke, VA. . . . . . . . . . . . . . . . . . Rochester, MN . . . . . . . . . . . . . . . . Rochester, NY. . . . . . . . . . . . . . . . .



Rockford, IL . . . . . . . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . Sacramento-Arden-Arcade-Roseville, CA . Saginaw-Saginaw Township North, MI . . . St. Cloud, MN . . . . . . . . . . . . . . . . . . . St. George, UT . . . St. Joseph, MO-KS St. Louis, MO-IL3 . . Salem, OR . . . . . . Salinas, CA . . . . . Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Salt Lake City, UT . . . . . . . . . . . . . San Angelo, TX . . . . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA Sandusky, OH . . . . . . . . . . . . . . . .



San Francisco-Oakland-Fremont, CA . . . Oakland-Fremont-Hayward, CA . . . . . . . San Francisco-San Mateo-Redwood City, San Jose-Sunnyvale-Santa Clara, CA . . . . San Luis Obispo-Paso Robles, CA . . . . . . Santa Barbara-Santa Maria, CA . . . . . . . . Santa Cruz-Watsonville, CA. . . Santa Fe, NM . . . . . . . . . . . . Santa Rosa-Petaluma, CA. . . . Sarasota-Bradenton-Venice, FL Savannah, GA . . . . . . . . . . . Scranton-Wilkes-Barre, PA . . . Seattle-Tacoma-Bellevue, WA Seattle-Bellevue-Everett, WA Tacoma, WA . . . . . . . . . . . Sheboygan, WI . . . . . . . . . . . Sherman-Denison, TX . . . . . . Shreveport-Bossier City, LA . . . Sioux City, IA-NE-SD . . Sioux Falls, SD . . . . . . South Bend-Mishawaka, Spartanburg, SC . . . . . Spokane, WA . . . . . . . Springfield, IL . . . . . . . Springfield, MA . . Springfield, MO . . Springfield, OH . . State College, PA Stockton, CA . . . Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..... ..... IN-MI . ..... ..... ..... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



... ... CA. ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Syracuse, NY . . . . . . . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Terre Haute, IN . . . . . . . . . . . . . . . Texarkana, TX-Texarkana, AR . . . . . Toledo, OH . . . . . . . . . . . . . . . . . . Topeka, KS. . . . . . Trenton-Ewing, NJ . Tucson, AZ . . . . . . Tulsa, OK. . . . . . . Tuscaloosa, AL . . . Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



136



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-3. Metropolitan Areas — Population by Age, Race, and Sex—Con.

Population characteristics, 2003 Age (percent) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Under 5 years Utica-Rome, NY . . . . . . . . . . Valdosta, GA. . . . . . . . . . . . . Vallejo-Fairfield, CA . . . . . . . . Vero Beach, FL . . . . . . . . . . . Victoria, TX. . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.2 7.2 7.0 4.9 7.8 6.8 7.1 8.9 7.5 7.1 7.1 7.0 7.2 5.7 5.9 5.1 6.8 5.1 7.5 7.0 5.3 5.9 6.0 6.9 6.4 8.7 5.8 5.7 7.4 8.8 5 to 14 years 12.7 14.4 15.8 10.8 15.7 14.1 14.6 18.1 14.4 15.5 14.0 14.2 13.9 12.3 14.5 11.5 14.9 11.8 15.2 13.9 12.4 12.0 13.9 13.8 14.1 17.1 13.5 13.1 16.0 16.6 15 to 24 years 14.3 17.4 14.7 11.2 14.6 13.6 15.7 17.3 18.8 15.2 12.8 11.9 13.0 17.5 14.3 12.8 14.9 13.4 14.4 17.9 15.0 13.4 13.8 12.8 13.5 15.8 12.9 13.3 15.9 15.1 25 to 34 years 11.7 16.1 13.3 9.3 11.7 14.4 13.8 13.7 13.3 13.5 14.9 12.8 15.5 12.6 11.5 10.7 11.1 11.0 13.2 12.2 11.0 14.6 13.3 13.9 13.0 12.9 12.0 11.0 13.3 11.0 35 to 44 years 14.9 14.6 15.8 12.0 13.9 15.7 16.0 13.4 12.8 16.5 17.1 17.1 17.2 12.6 15.8 13.5 14.1 13.8 14.8 14.1 14.4 14.2 16.0 15.4 16.7 13.3 16.1 13.8 14.4 12.5 45 to 54 years 14.5 12.2 14.5 12.6 13.7 13.4 13.6 11.6 12.3 13.7 14.9 15.7 14.7 14.5 15.1 16.2 14.7 16.0 14.3 13.1 15.0 13.8 14.2 14.2 14.6 12.6 15.4 15.3 12.6 10.4 55 to 64 years 10.6 8.1 8.9 11.4 9.7 9.3 8.8 7.6 8.4 8.8 10.0 10.3 9.9 9.9 9.7 11.6 9.8 11.1 8.7 8.8 10.6 11.6 10.3 10.2 9.3 8.5 10.7 10.8 9.0 8.6 65 to 74 years 7.3 5.4 5.3 12.7 6.8 6.3 5.6 4.9 6.2 5.9 5.0 5.6 4.8 6.8 6.3 9.4 6.8 8.4 5.9 7.0 7.8 8.3 6.9 6.9 5.8 5.4 6.9 8.0 6.1 9.5 75 years and over 8.7 4.6 4.7 15.1 6.0 6.4 4.9 4.6 6.3 3.8 4.2 5.5 3.8 7.9 6.9 9.3 7.0 9.5 6.0 6.1 8.3 6.2 5.7 6.0 6.8 5.7 6.7 9.0 5.2 7.5 One race (percent) Black or African AmeriWhite can alone alone 92.5 65.0 64.6 89.7 91.9 74.6 62.6 91.1 82.0 71.2 63.5 73.6 60.6 91.2 93.6 94.7 96.6 95.6 85.8 86.7 94.4 81.6 93.7 77.6 91.6 91.1 93.9 87.5 81.9 93.6 5.1 32.5 15.4 8.6 5.6 21.6 32.0 1.9 15.1 25.0 26.4 13.3 30.1 6.5 0.3 4.0 0.4 3.1 7.8 8.7 4.2 16.4 4.3 20.3 3.6 1.2 4.0 10.8 2.6 2.2 Native Ameri- Hawaican ian and Indian, Other Alaska Pacific Asian Native Islander alone alone alone 1.3 1.0 13.5 0.9 1.3 1.1 2.9 3.4 1.2 1.8 7.7 10.8 6.9 1.1 5.1 0.4 0.7 0.5 3.1 1.7 0.5 0.6 0.8 1.0 3.3 1.0 1.0 0.5 10.0 1.1 0.2 0.4 0.9 0.3 0.6 1.0 0.4 1.9 0.6 0.4 0.4 0.3 0.4 0.2 0.4 0.2 1.1 0.1 1.1 1.0 0.2 0.5 0.2 0.3 0.3 4.8 0.2 0.2 2.0 1.8 0.0 0.0 0.9 0.0 0.1 0.2 0.1 0.3 0.1 0.1 0.1 0.1 0.1 0.1 0.0 0.0 0.2 0.0 0.1 0.1 0.0 0.1 0.0 0.1 0.1 0.2 0.0 0.0 0.2 0.3 Hispanic or Latino Males oriper gin,1 (per100 cent) females 3.3 3.0 19.9 7.6 40.9 21.0 3.1 53.8 19.8 2.9 10.1 10.6 10.0 1.7 0.9 0.6 20.4 0.5 8.1 12.1 0.6 2.8 3.5 7.3 7.3 38.3 3.2 1.7 22.3 54.4 98.1 98.9 101.3 94.4 96.2 104.9 97.4 100.8 94.6 96.7 95.3 93.5 95.8 92.8 99.6 91.9 98.6 94.0 98.3 104.0 96.4 95.7 99.1 93.4 95.8 99.8 96.9 93.2 100.0 100.6



Virginia Beach-Norfolk-Newport News, VA-NC. . . . . Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV Bethesda-Gaithersburg-Frederick, MD . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV . Waterloo-Cedar Falls, IA . . . . Wausau, WI . . . . . . . . . . . . Weirton-Steubenville, WV-OH. Wenatchee, WA . . . . . . . . . Wheeling, WV-OH . . . . . . . . Wichita, KS. . . . . . . . . . . . . Wichita Falls, TX . . Williamsport, PA . . Wilmington, NC . . . Winchester, VA-WV Winston-Salem, NC Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Yakima, WA . . . . . . . . . . . . . York-Hanover, PA . . . . . . . . . Youngstown-Warren-Boardman, Yuba City, CA . . . . . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . .

1 2



...... ...... OH-PA . ...... ......



Persons of Hispanic origin may be any race. The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield city is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 3 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA. Note: Covers metropolitan statistical areas and metropolitan divisions and component counties defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . Survey, Census, or Data Collection Method: Based on population estimates and the ‘‘component of population change method’’; for more information, see Appendix B, Limitations of the Data and Methodology, and also . Source: U.S. Census Bureau, Population Estimates, County Population datasets, .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



137



Table B-4. Metropolitan Areas — Population Characteristics 2000 Census

Households Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total Abilene, TX. . . . . . . . . . . . . Akron, OH . . . . . . . . . . . . . Albany, GA . . . . . . . . . . . . . Albany-Schenectady-Troy, NY Albuquerque, NM. . . . . . . . . Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,475 274,237 57,403 330,246 281,052 54,193 285,808 51,518 85,272 29,383 115,378 53,052 65,649 125,327 45,307 75,440 154,290 63,406 1,554,154 95,024 45,702 184,801 471,855 208,652 974,071 58,096 94,822 256,637 54,100 43,930 142,327 64,446 45,595 56,149 100,474 412,376 37,559 58,443 68,552 56,746 170,291 1,679,659 695,910 561,220 275,419 147,110 114,680 40,013 86,416 324,232 97,267 36,846 468,719 51,584 75,978 159,442 188,599 20,171 26,819 94,059 82,711 129,229 207,957 510,516 67,575 189,607 31,927 3,280,055 2,755,393 252,308 272,354 Family with children under 18 years (percent of total) 37.7 33.6 40.7 32.5 36.6 39.4 33.5 31.9 37.8 28.2 42.2 33.1 35.3 31.1 33.5 37.9 29.6 31.5 39.5 35.7 32.8 40.0 35.7 46.8 36.1 32.2 26.1 39.9 35.0 33.0 38.2 32.5 34.3 33.4 31.7 35.9 34.4 27.7 28.8 33.1 39.4 32.9 31.9 32.1 35.2 37.1 32.3 34.4 38.5 36.8 52.7 35.8 32.2 34.4 35.1 33.8 24.8 32.7 34.8 33.9 29.9 31.7 37.2 36.9 31.8 34.0 35.6 37.6 37.1 37.3 43.0 Educational attainment1 Households with income of $75,000 or more in 1999 (percent) 12.6 21.7 15.0 23.1 19.0 12.1 23.2 10.8 15.5 19.9 32.1 17.4 14.9 32.8 12.2 22.9 14.7 16.6 30.1 22.0 15.1 17.8 28.1 17.2 28.7 13.2 24.3 18.9 16.9 18.8 16.8 18.2 19.9 14.9 16.2 19.3 15.9 13.1 15.7 25.2 19.9 34.3 31.9 39.4 32.1 30.7 35.3 15.3 24.1 43.6 10.1 17.4 18.9 16.3 23.4 17.1 18.8 19.8 14.9 20.8 18.0 14.7 18.8 25.3 23.5 16.3 16.4 30.3 30.1 21.8 39.8



High school graduate or higher (percent) 78.7 85.7 73.2 86.1 83.7 74.4 81.3 83.8 80.1 93.5 89.9 80.1 73.4 91.5 73.9 88.0 80.9 79.4 83.5 78.2 81.4 78.3 84.8 68.5 81.9 85.7 91.8 79.4 83.2 82.4 78.7 87.5 88.4 88.4 84.0 78.8 85.8 79.4 84.5 90.7 85.9 86.7 85.5 88.5 84.6 89.4 92.8 78.0 90.8 84.4 55.2 79.5 83.0 76.5 88.5 83.2 82.3 82.5 88.3 89.8 90.4 77.6 81.3 81.3 82.6 76.7 89.1 81.1 80.5 82.4 86.0



Bachelor’s degree or higher (percent) 19.6 24.3 15.7 29.1 28.1 15.7 21.7 13.9 20.8 44.5 27.0 14.4 15.9 48.1 15.2 22.2 23.1 32.4 31.4 18.7 27.9 20.4 36.7 13.5 29.2 20.3 33.6 22.8 16.0 14.2 14.7 27.2 25.0 26.2 22.0 22.7 25.5 25.7 29.0 36.2 25.5 37.0 35.2 43.6 31.3 30.2 52.4 22.3 25.3 39.9 13.4 19.7 23.2 19.2 34.8 17.3 21.1 18.5 20.0 24.9 34.5 17.9 25.0 28.0 38.3 19.4 23.4 29.0 29.4 17.3 34.9



Foreignborn population (percent of total) 3.5 3.0 1.6 4.8 7.8 1.4 5.2 1.0 6.0 6.9 7.1 1.2 1.5 10.3 1.7 2.9 3.9 6.2 10.0 11.8 2.7 3.0 12.2 16.9 5.7 2.5 4.9 2.6 2.4 1.4 4.7 9.8 2.8 1.4 4.5 2.1 1.3 3.7 3.9 3.3 5.7 13.7 15.6 15.2 11.3 3.6 9.4 3.8 5.7 16.9 25.6 2.7 4.4 6.3 5.4 1.7 9.2 9.9 1.8 2.2 7.0 1.1 3.3 6.9 5.7 2.4 2.9 16.1 17.4 4.6 12.9



Speaking language other than English at home2 (percent) 13.8 5.3 3.8 8.1 30.1 4.6 12.0 3.1 16.4 9.4 12.0 3.1 3.3 13.2 3.5 5.7 5.9 9.0 13.0 20.3 5.1 5.8 25.8 33.4 8.4 4.6 6.8 6.5 4.8 5.0 10.4 9.2 5.4 4.7 7.9 4.2 7.3 5.3 6.3 6.0 10.9 19.1 20.7 20.4 19.4 6.3 13.6 6.0 8.3 23.9 79.0 5.0 8.4 9.3 7.6 4.2 13.5 14.9 5.1 4.5 10.4 2.7 6.0 9.8 7.7 4.4 8.0 25.1 26.9 11.3 19.2



Living in same house in 1995 and 20002 (percent) 47.6 57.8 55.2 59.3 50.6 60.2 60.9 66.7 48.7 39.3 43.1 59.7 58.8 43.0 57.1 58.2 54.8 43.8 45.0 57.6 44.1 55.3 39.4 47.2 57.0 58.4 57.6 55.9 57.1 65.1 58.4 45.4 40.6 52.6 60.6 56.8 56.8 46.6 45.9 46.4 44.8 57.6 57.6 57.9 58.7 55.2 40.8 47.7 48.7 57.3 58.5 55.4 63.5 54.5 54.2 62.1 47.7 46.1 51.0 53.9 45.7 63.1 50.9 49.1 48.8 56.4 46.3 56.5 56.5 60.6 52.9



Workers who drove alone to work3 (percent) 80.8 85.4 79.4 79.6 77.5 78.6 81.9 82.2 82.0 71.3 73.5 81.8 83.3 76.0 85.1 84.2 80.1 77.6 77.0 73.1 84.1 80.3 76.5 73.8 75.5 79.2 81.3 81.8 82.3 87.3 83.1 75.9 75.2 80.4 79.7 83.3 82.2 79.1 74.8 79.7 79.4 71.1 64.4 72.1 78.7 83.5 70.8 79.5 66.3 74.7 73.2 79.3 81.7 81.5 75.4 86.0 78.7 77.7 82.7 81.3 71.1 80.8 78.1 80.7 73.5 82.7 80.4 70.4 68.6 81.9 77.5



Persons below poverty in 1999 level (percent) 14.6 9.6 20.9 9.0 13.7 20.0 8.0 12.3 13.0 12.4 7.9 9.0 11.8 10.4 15.8 4.4 11.0 19.7 9.3 10.3 21.0 15.0 10.8 19.8 9.5 13.1 6.8 16.5 10.9 9.6 15.1 13.8 9.2 10.9 11.4 13.3 8.0 18.2 14.6 9.0 9.1 8.3 10.2 6.3 8.7 5.7 9.2 14.9 8.4 6.8 32.6 15.5 11.6 10.8 8.4 9.1 9.6 9.4 11.6 6.4 13.4 15.4 13.6 9.2 10.9 11.7 8.7 10.3 10.7 10.3 5.9



Allentown-Bethlehem-Easton, PA-NJ . Altoona, PA . . . . . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . . Anderson, IN . . . . . . . . . . . . . . . . Anderson, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . Anniston-Oxford, AL . . . . . Appleton, WI . . . . . . . . . . Asheville, NC . . . . . . . . . Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Atlanta-Sandy Springs-Marietta, GA Atlantic City, NJ . . . . . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . Augusta-Richmond County, GA-SC . Austin-Round Rock, TX. . . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Baltimore-Towson, MD Bangor, ME . . . . . . . Barnstable Town, MA . Baton Rouge, LA . . . . Battle Creek, MI . . . . Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Beaumont-Port Arthur, TX Bellingham, WA. . . . . . . Bend, OR . . . . . . . . . . . Billings, MT. . . . . . . . . . Binghamton, NY . . . . . . Birmingham-Hoover, AL .



Bismarck, ND . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA Bloomington, IN. . . . . . . . . . . . . . . . Bloomington-Normal, IL. . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . .



Boston-Cambridge-Quincy, MA-NH . . . . . Boston-Quincy, MA . . . . . . . . . . . . . . . . Cambridge-Newton-Framingham, MA . . . . Essex County, MA . . . . . . . . . . . . . . . . Rockingham County-Strafford County, NH . Boulder, CO4 . . . . . . . . . . . . . . . . . . . . . Bowling Green, KY. . . . . . . . . . Bremerton-Silverdale, WA . . . . . Bridgeport-Stamford-Norwalk, CT Brownsville-Harlingen, TX . . . . . Brunswick, GA . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . . Burlington, NC. . . . . . . . . . . . Burlington-South Burlington, VT Canton-Massillon, OH. . . . . . . Cape Coral-Fort Myers, FL . . . Carson City, NV. . . . . . . . . . . Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Cedar Rapids, IA . . . . . . . . . . . . . . Champaign-Urbana, IL . . . . . . . . . . Charleston, WV . . . . . . . . . . . . . . . Charleston-North Charleston, SC . . . Charlotte-Gastonia-Concord, NC-SC . Charlottesville, VA . . . . . . . . . . . . .



Chattanooga, TN-GA . . . . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI . . Chicago-Naperville-Joliet, IL . . . . . . Gary, IN . . . . . . . . . . . . . . . . . . . Lake County-Kenosha County, IL-WI See footnotes at end of table.



138



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-4. Metropolitan Areas — Population Characteristics 2000 Census—Con.

Households Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total Chico, CA. . . . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN Clarksville, TN-KY . . . . . . . . . . Cleveland, TN . . . . . . . . . . . . . Cleveland-Elyria-Mentor, OH . . . Coeur d’Alene, ID . . . . . . . . . . College Station-Bryan, TX . Colorado Springs, CO. . . . Columbia, MO . . . . . . . . . Columbia, SC . . . . . . . . . Columbus, GA-AL . . . . . . Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,566 779,226 83,332 40,729 853,165 41,308 67,744 200,402 56,930 245,347 103,982 27,936 636,602 141,590 30,145 40,106 1,881,056 1,255,247 625,809 42,671 33,406 45,291 149,726 338,979 57,140 46,561 184,723 844,017 189,371 1,696,943 768,440 928,503 52,836 47,224 33,690 112,491 168,704 57,178 39,384 39,772 66,154 35,049 210,022 106,507 130,453 136,768 29,777 69,985 37,711 118,731 131,939 40,448 169,825 72,940 58,549 36,931 97,164 104,506 66,269 150,858 252,940 41,615 92,530 47,381 48,184 42,612 37,505 45,823 272,130 32,547 63,247 108,897 256,315 59,235 Family with children under 18 years (percent of total) 31.2 36.5 42.6 35.1 33.3 37.4 31.4 39.2 32.3 36.8 39.5 36.5 35.0 41.9 29.9 30.2 40.5 40.4 40.8 42.0 33.3 32.6 33.8 33.6 37.0 32.4 27.0 35.2 35.2 36.2 37.7 34.9 35.6 39.3 34.5 30.2 32.1 32.9 53.4 40.4 39.6 33.9 51.3 34.3 31.0 34.1 43.6 32.0 47.1 43.9 36.3 39.0 37.3 38.5 33.3 34.5 33.4 37.7 35.9 36.7 45.8 33.6 28.3 41.5 34.4 38.7 33.7 33.9 38.4 34.2 40.5 35.3 34.3 34.1 Educational attainment1 Households with income of $75,000 or more in 1999 (percent) 13.8 23.8 12.4 13.8 22.3 14.7 15.2 24.3 17.9 19.8 14.7 21.5 23.3 16.2 23.3 10.0 27.5 28.8 24.9 15.8 11.5 10.5 18.4 20.7 15.9 16.7 14.2 29.7 23.0 29.4 22.2 35.3 13.2 18.0 15.4 14.4 23.3 15.2 14.3 13.9 19.0 14.7 12.8 14.6 15.9 16.7 26.8 16.2 13.6 13.9 14.3 18.3 22.1 14.1 13.8 17.4 26.6 11.0 18.9 20.2 16.7 12.0 15.8 22.3 15.6 12.8 13.0 14.3 21.9 11.2 20.1 20.3 19.3 14.9



High school graduate or higher (percent) 82.3 82.4 80.8 71.5 83.0 87.3 78.7 91.4 88.6 82.1 76.6 83.8 85.7 73.9 93.1 80.0 79.9 79.5 80.8 62.4 78.7 67.8 84.5 84.0 73.8 83.2 82.0 86.5 88.5 82.3 77.0 86.7 73.1 79.4 85.2 86.7 82.8 87.1 59.0 80.8 75.7 82.1 65.8 84.6 87.5 82.3 91.8 89.7 76.8 83.8 78.8 83.8 83.1 71.8 75.2 84.2 92.3 73.2 88.0 85.8 67.5 74.1 87.0 70.5 82.0 77.2 86.6 85.0 84.3 87.1 79.6 85.4 78.2 78.0



Bachelor’s degree or higher (percent) 21.8 24.8 16.2 14.5 23.9 19.1 31.5 31.8 39.9 26.6 18.3 22.0 28.3 17.7 47.4 13.4 28.5 30.4 24.8 11.1 12.5 11.3 19.9 22.8 15.8 16.9 17.6 34.2 27.9 23.2 17.2 28.1 15.9 18.6 21.3 20.5 38.8 22.1 10.3 14.8 15.5 18.6 16.6 20.9 25.5 17.4 27.0 29.4 13.5 18.3 20.9 29.9 16.2 16.9 16.8 16.9 39.5 13.2 24.2 21.3 17.5 13.4 36.7 18.7 18.9 15.0 24.2 22.0 22.7 21.5 21.6 20.1 23.4 23.9



Foreignborn population (percent of total) 7.7 2.6 3.5 2.0 5.3 2.4 9.0 6.3 4.3 3.3 4.0 3.8 4.5 5.9 7.6 1.1 15.2 17.0 11.4 12.7 1.7 1.2 3.4 2.4 2.2 1.4 6.4 10.7 5.1 7.6 6.7 8.3 1.4 4.0 1.9 1.8 9.3 1.8 32.2 4.0 7.1 2.2 27.4 2.7 4.9 1.3 4.0 3.0 2.4 5.3 6.6 4.3 2.1 1.5 1.0 2.0 4.3 4.0 5.3 3.6 21.1 1.6 6.9 16.2 2.2 4.2 2.9 3.0 5.4 2.4 9.3 3.3 5.8 3.8



Speaking language other than English at home2 (percent) 12.5 4.6 7.6 4.1 9.8 3.7 18.8 11.1 6.8 6.1 7.3 5.3 7.2 40.9 10.0 2.5 24.4 26.6 20.0 17.4 4.3 3.1 6.3 4.5 3.9 3.3 10.8 17.0 7.8 11.0 10.8 11.1 2.8 7.9 4.0 4.8 12.1 5.0 67.8 7.1 14.4 4.3 73.3 5.9 7.9 3.3 7.8 6.1 32.7 10.8 10.0 28.2 4.5 3.7 2.4 4.8 8.5 6.7 7.9 6.9 40.8 3.0 11.1 20.7 3.9 7.2 6.8 8.0 8.7 5.1 20.3 6.3 8.2 6.3



Living in same house in 1995 and 20002 (percent) 47.9 54.2 43.6 55.5 60.2 46.8 37.2 40.5 41.1 53.8 48.7 54.4 49.1 53.2 42.3 65.1 44.5 43.9 45.8 53.7 59.7 63.5 57.6 54.6 58.9 55.8 51.7 44.6 51.5 58.3 60.0 56.9 57.5 55.6 60.0 61.4 46.7 55.2 52.1 50.0 51.3 60.0 55.2 60.2 46.8 57.1 39.4 47.6 57.2 46.1 45.2 46.2 56.8 61.2 60.8 59.5 41.5 52.9 46.4 54.0 51.0 61.6 41.1 47.8 62.2 53.0 49.0 45.1 54.2 52.8 42.5 55.4 53.3 46.7



Workers who drove alone to work3 (percent) 74.3 81.3 79.2 82.5 81.3 80.8 76.3 77.9 77.2 79.2 75.6 84.4 82.1 76.3 70.7 80.2 78.7 77.6 81.1 78.0 81.6 81.2 83.6 84.2 85.2 84.4 78.7 71.7 81.5 84.7 80.1 88.0 84.8 79.7 81.9 79.1 74.0 80.6 72.7 79.5 79.4 81.1 75.9 79.9 71.6 84.6 72.8 81.8 78.7 77.1 78.7 68.1 84.3 80.4 86.0 80.8 77.4 80.1 82.8 84.2 74.2 84.5 74.8 76.4 79.9 80.5 79.4 77.1 83.0 80.5 78.5 83.3 81.2 80.3



Persons below poverty in 1999 level (percent) 19.3 9.3 11.2 12.0 10.5 10.3 23.5 7.7 13.4 11.8 14.9 7.2 9.6 17.9 13.6 13.8 10.6 10.8 10.1 11.7 12.8 15.1 9.9 9.7 12.9 12.5 11.3 7.8 7.3 10.4 16.1 5.5 16.2 10.3 7.4 11.0 12.4 9.5 20.8 10.3 7.7 12.1 23.4 11.4 14.1 9.7 7.5 10.5 21.3 12.5 12.8 17.7 12.9 17.3 14.0 5.6 9.0 15.4 8.5 8.4 22.4 15.4 21.0 12.2 9.2 13.3 11.2 10.0 8.5 13.2 12.2 6.6 10.4 19.4



Columbus, OH . . . . . . . . . . Corpus Christi, TX . . . . . . . . Corvallis, OR . . . . . . . . . . . Cumberland, MD-WV . . . . . . Dallas-Fort Worth-Arlington, Dallas-Plano-Irving, TX . . . Fort Worth-Arlington, TX . .



... ... ... ... TX . ... ...



Dalton, GA . . . . . . . . . . . . . . . . . Danville, IL . . . . . . . . . . . . . . . . . Danville, VA . . . . . . . . . . . . . . . . Davenport-Moline-Rock Island, IA-IL Dayton, OH . . . . . . . . . . . . . . . . Decatur, AL . . . . . . . . . . . . . . . .



Decatur, IL . . . . . . . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, FL Denver-Aurora, CO4 . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . . . . . . . . . . . Detroit-Warren-Livonia, MI. . . . . . . . . . . Detroit-Livonia-Dearborn, MI . . . . . . . . . Warren-Farmington Hills-Troy, MI . . . . . . Dothan, AL . . . Dover, DE . . . Dubuque, IA . . Duluth, MN-WI Durham, NC . . Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



El Centro, CA . . . . Elizabethtown, KY . Elkhart-Goshen, IN. Elmira, NY . . . . . . El Paso, TX . . . . . Erie, PA . . . . . . . .



Eugene-Springfield, OR Evansville, IN-KY . . . . . Fairbanks, AK . . . . . . . Fargo, ND-MN. . . . . . . Farmington, NM. . . . . . Fayetteville, NC . . . . . .



Fayetteville-Springdale-Rogers, AR-MO . Flagstaff, AZ . . . . . . . . . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Florence, SC. . . . . . . . . . . . . . . . . . . Florence-Muscle Shoals, AL. . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Fort Wayne, IN . . . . . . . . . . . . . . . . . Fresno, CA . . . . . . . . . . . . . . . . . . . . Gadsden, AL. . . . . . . . . . . . . . . . . . . Gainesville, FL . . . . Gainesville, GA . . . . Glens Falls, NY . . . . Goldsboro, NC . . . . Grand Forks, ND-MN Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Grand Rapids-Wyoming, MI . Great Falls, MT . . . . . . . . . Greeley, CO4 . . . . . . . . . . Green Bay, WI . . . . . . . . . Greensboro-High Point, NC . Greenville, NC. . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



139



Table B-4. Metropolitan Areas — Population Characteristics 2000 Census—Con.

Households Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total Greenville, SC. . . . . . . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . . Hagerstown-Martinsburg, MD-WV . Hanford-Corcoran, CA . . . . . . . . Harrisburg-Carlisle, PA . . . . . . . . Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217,152 93,182 85,440 34,418 202,380 38,488 445,870 45,999 133,966 22,957 81,662 286,450 37,813 68,054 1,656,799 117,697 134,643 34,654 594,874 52,136 36,420 58,168 180,556 41,212 432,627 48,122 58,617 51,637 75,197 60,531 42,327 61,552 121,461 38,182 717,761 67,706 112,011 124,021 67,499 253,005 41,269 49,232 66,502 89,536 72,205 187,233 172,560 172,413 50,740 59,556 512,253 38,486 39,808 46,551 23,650 42,028 163,854 40,646 105,200 241,094 31,019 73,341 35,850 4,069,061 3,133,774 935,287 462,241 95,028 89,736 84,338 36,155 202,687 Family with children under 18 years (percent of total) 35.2 37.5 34.8 51.0 32.3 32.3 33.7 37.9 34.9 53.4 41.2 37.8 28.0 43.3 42.7 31.8 36.2 44.1 36.6 28.4 27.4 36.6 40.3 37.1 37.4 45.7 36.3 36.7 30.9 29.2 35.6 35.4 33.8 37.8 36.0 42.5 44.5 31.4 33.3 31.8 34.0 32.0 31.4 40.3 39.8 33.0 35.9 34.1 60.8 43.0 35.4 28.9 42.8 32.8 32.4 32.9 32.8 35.8 31.9 36.0 46.1 37.4 36.0 41.1 41.3 40.5 35.3 35.7 33.7 37.9 45.2 30.9 Educational attainment1 Households with income of $75,000 or more in 1999 (percent) 18.6 14.3 15.9 15.8 21.3 15.0 31.7 12.5 14.0 9.4 26.9 31.6 12.8 13.8 26.1 11.4 23.5 18.3 24.5 20.9 18.7 20.2 18.0 16.0 20.9 10.1 20.8 16.5 11.4 9.7 12.0 10.5 20.4 18.8 23.9 23.6 14.0 12.0 21.5 17.8 22.8 16.6 18.5 16.6 16.3 14.5 20.6 23.0 11.9 12.1 22.6 18.1 12.0 17.1 13.9 13.1 20.9 15.0 19.1 17.7 15.1 14.3 16.4 28.1 25.3 37.4 20.0 14.1 15.3 17.5 15.6 24.7



High school graduate or higher (percent) 76.9 79.5 77.6 68.8 84.2 73.6 84.0 79.8 70.3 84.9 86.6 84.8 78.3 66.7 76.3 76.6 83.3 87.2 84.3 91.6 91.4 84.2 79.9 77.2 83.4 84.3 83.9 81.7 73.7 80.0 73.5 79.6 86.3 79.8 86.6 80.1 83.5 73.1 81.7 80.2 83.4 89.0 87.1 76.4 76.6 74.8 77.4 88.6 53.0 70.0 79.5 92.4 85.2 78.6 85.6 79.8 83.2 82.5 90.3 83.0 90.1 77.3 83.2 72.2 69.9 79.5 80.9 77.9 75.9 76.1 65.4 91.3



Bachelor’s degree or higher (percent) 23.1 17.9 14.5 10.4 24.3 21.4 30.5 22.6 13.6 13.2 26.0 27.9 18.0 12.3 26.4 14.9 30.9 24.2 26.5 42.0 47.5 16.3 26.2 20.1 22.6 14.8 16.7 21.2 18.5 13.7 17.3 16.4 26.9 15.0 28.0 23.3 18.0 15.5 25.0 24.6 17.1 24.6 29.2 22.0 16.4 14.9 20.5 28.4 13.9 22.3 17.3 42.7 19.1 15.4 18.6 14.4 29.8 13.4 32.0 24.2 29.6 16.2 13.3 26.3 24.9 30.8 21.2 24.0 18.7 18.7 12.0 36.9



Foreignborn population (percent of total) 4.0 3.0 1.8 16.0 3.4 5.5 10.3 1.6 4.6 5.6 4.9 19.2 2.6 1.5 19.0 0.9 3.5 4.3 3.5 5.6 10.5 1.7 1.2 2.0 5.3 4.1 3.3 1.6 1.5 1.3 1.7 2.2 3.9 3.5 4.4 12.8 6.8 1.0 5.9 2.2 1.6 2.3 7.1 2.2 1.4 6.9 3.2 4.6 29.0 18.7 18.0 5.2 5.4 2.4 1.9 2.6 4.4 1.0 5.2 2.3 6.3 4.6 3.7 34.8 36.2 29.9 2.6 3.4 1.9 1.6 20.1 5.5



Speaking language other than English at home2 (percent) 6.2 6.1 3.3 36.7 6.9 8.7 18.7 3.6 7.2 12.4 8.9 28.9 4.8 17.0 31.7 2.3 5.2 8.4 5.7 9.9 13.9 4.4 3.4 3.7 8.5 9.4 6.1 4.1 3.1 4.1 3.5 4.7 7.2 6.4 7.4 21.9 17.1 2.2 10.1 4.0 3.7 5.3 10.2 20.8 9.0 12.1 13.1 8.1 91.9 54.4 26.0 8.5 11.3 8.0 3.6 16.4 6.6 3.4 8.5 4.6 10.5 8.2 6.0 51.2 54.1 41.4 4.5 22.9 3.6 3.7 37.0 8.6



Living in same house in 1995 and 20002 (percent) 53.0 50.7 56.8 42.3 59.0 51.5 58.3 51.0 58.9 34.7 55.0 56.3 52.6 64.5 48.8 61.2 52.1 54.5 49.7 43.6 41.9 59.0 54.5 51.7 49.2 35.8 55.3 54.5 57.1 71.7 50.0 49.3 52.5 57.3 51.5 50.6 40.2 61.2 61.6 54.4 57.2 53.2 42.4 56.4 56.1 51.1 60.2 51.3 58.8 53.1 34.5 37.0 42.6 62.6 53.5 56.7 45.3 58.8 47.1 50.8 45.8 55.7 52.6 51.1 52.0 48.0 54.6 47.7 59.0 56.9 52.8 48.3



Workers who drove alone to work3 (percent) 81.2 79.0 80.4 73.5 80.0 76.5 82.6 81.1 81.3 72.4 85.9 61.4 78.9 79.1 77.0 83.9 83.9 76.7 82.8 68.8 59.8 83.5 80.7 83.5 80.3 66.7 83.1 77.7 84.2 81.7 82.5 81.5 82.9 81.1 82.6 77.8 76.5 85.4 78.1 84.6 84.9 80.2 77.7 82.8 83.4 79.9 78.2 80.4 71.5 77.2 74.6 76.9 73.3 81.0 83.1 78.0 80.2 84.9 80.2 81.5 73.2 82.3 81.6 71.9 70.4 76.5 81.8 80.6 81.6 81.0 73.1 74.7



Persons below poverty in 1999 level (percent) 11.2 14.2 9.8 16.5 7.9 14.3 7.9 18.5 9.6 14.5 5.3 9.6 14.3 17.6 13.5 17.5 10.6 10.1 8.3 12.9 15.4 8.5 16.4 13.4 10.5 11.3 7.1 8.0 14.3 11.9 16.3 13.2 11.4 11.0 8.4 12.4 10.7 13.4 10.9 11.9 8.7 9.5 12.6 16.5 14.9 12.6 7.6 10.6 30.7 24.6 10.6 14.5 14.2 7.3 13.1 10.7 11.4 11.4 8.9 11.8 12.5 14.4 13.7 15.9 17.6 10.2 10.7 17.4 10.9 16.5 19.9 8.6



Hartford-West Hartford-East Hartford, CT . Hattiesburg, MS. . . . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . . Holland-Grand Haven, MI . . . . . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . . . . . Hot Springs, AR. . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA Houston-Sugar Land-Baytown, TX . Huntington-Ashland, WV-KY-OH . . . Huntsville, AL . . . . . . . . . . . . . . . Idaho Falls, ID. . . . . . . . . . . . . . . Indianapolis, IN . Iowa City, IA . . . Ithaca, NY . . . . Jackson, MI . . . Jackson, MS . . . Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Jacksonville, FL. . . Jacksonville, NC . . Janesville, WI . . . . Jefferson City, MO . Johnson City, TN . . Johnstown, PA . . .



Jonesboro, AR . . . . . . . . . . . . Joplin, MO . . . . . . . . . . . . . . . Kalamazoo-Portage, MI . . . . . . Kankakee-Bradley, IL . . . . . . . . Kansas City, MO-KS. . . . . . . . . Kennewick-Richland-Pasco, WA . Killeen-Temple-Fort Hood, TX . Kingsport-Bristol-Bristol, TN-VA Kingston, NY. . . . . . . . . . . . . Knoxville, TN . . . . . . . . . . . . Kokomo, IN . . . . . . . . . . . . . La Crosse, WI-MN . . . . . . . . . Lafayette, IN . . . . . . . . . Lafayette, LA . . . . . . . . Lake Charles, LA . . . . . . Lakeland, FL. . . . . . . . . Lancaster, PA . . . . . . . . Lansing-East Lansing, MI Laredo, TX . . . . . . . . . . Las Cruces, NM . . . . . . Las Vegas-Paradise, NV . Lawrence, KS . . . . . . . . Lawton, OK . . . . . . . . . Lebanon, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Lewiston, ID-WA . . . . . . . . . . . Lewiston-Auburn, ME . . . . . . . . Lexington-Fayette, KY . . . . . . . Lima, OH . . . . . . . . . . . . . . . . Lincoln, NE. . . . . . . . . . . . . . . Little Rock-North Little Rock, AR.



Logan, UT-ID . . . . . . . . . . . . . . . . . . . . Longview, TX . . . . . . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Los Angeles-Long Beach-Glendale, CA . Santa Ana-Anaheim-Irvine, CA . . . . . . . Louisville, KY-IN Lubbock, TX . . . Lynchburg, VA. . Macon, GA . . . . Madera, CA . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



140



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-4. Metropolitan Areas — Population Characteristics 2000 Census—Con.

Households Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total Manchester-Nashua, NH . . . . Mansfield, OH . . . . . . . . . . . McAllen-Edinburg-Mission, TX Medford, OR . . . . . . . . . . . . Memphis, TN-MS-AR . . . . . . Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144,455 49,534 156,824 71,532 448,473 63,815 1,905,394 654,445 776,774 474,175 41,050 42,745 587,657 1,136,615 38,439 150,179 145,146 64,073 53,772 129,717 44,990 48,636 38,852 47,131 63,330 81,800 45,402 102,973 510,222 319,040 498,587 6,676,963 799,437 916,686 751,513 4,209,327 63,569 99,835 106,755 42,148 43,846 138,945 429,743 81,625 294,502 625,248 61,157 43,232 243,234 198,195 59,597 66,583 54,418 154,842 143,607 2,134,404 430,832 1,459,119 244,453 1,194,250 38,093 995,505 56,006 29,752 196,669 745,531 132,221 214,324 70,171 613,835 102,393 54,579 Family with children under 18 years (percent of total) 37.2 33.9 56.5 33.0 39.8 50.0 33.7 32.2 39.0 27.3 35.1 42.4 34.2 35.9 31.0 39.1 45.8 38.4 39.1 38.2 28.1 34.3 35.6 30.4 37.8 29.5 34.4 25.2 35.9 33.8 37.8 35.8 35.8 39.6 38.4 34.6 34.5 34.7 27.8 28.6 43.4 48.2 35.6 35.4 36.4 35.4 32.4 35.9 43.6 29.2 33.8 32.8 41.8 35.5 33.6 35.6 38.4 34.6 36.6 36.1 38.7 29.9 29.4 39.5 33.0 34.9 27.0 40.0 26.3 33.8 51.3 35.2 Educational attainment1 Households with income of $75,000 or more in 1999 (percent) 30.5 15.6 9.4 16.4 20.0 15.0 22.1 22.9 18.9 26.3 17.2 20.9 24.5 31.4 13.7 14.4 19.0 15.0 29.0 17.5 12.1 10.4 20.0 15.6 15.3 14.2 31.8 29.0 21.9 28.7 17.7 32.0 38.2 45.0 37.7 27.0 17.9 27.8 11.1 23.1 11.1 24.7 16.5 22.6 22.1 20.7 18.9 14.3 37.8 18.9 14.2 13.5 15.6 15.7 20.3 28.3 31.1 27.2 29.9 23.9 12.5 17.8 18.7 15.5 21.0 24.9 18.6 31.2 14.5 22.4 22.2 13.0



High school graduate or higher (percent) 87.0 80.2 50.5 85.0 79.0 63.8 76.2 82.0 67.9 83.6 80.6 79.2 84.5 90.6 91.0 76.7 70.4 77.6 83.1 78.9 80.8 68.4 84.0 81.6 83.1 81.1 80.4 81.8 80.3 83.0 77.7 78.7 85.7 86.4 82.2 74.8 81.9 86.0 78.2 81.9 68.0 88.9 83.5 89.5 87.8 82.8 86.3 79.5 80.1 86.3 81.0 82.2 79.6 83.0 84.7 82.4 83.6 81.7 84.3 81.9 73.3 84.9 85.1 86.4 88.6 87.2 80.8 82.8 84.7 76.3 90.7 81.3



Bachelor’s degree or higher (percent) 30.1 12.6 12.9 22.3 22.0 11.0 24.1 24.5 21.7 27.7 14.0 24.8 27.0 33.3 32.8 18.6 14.1 21.2 14.3 24.2 26.0 12.2 20.8 20.4 13.9 18.7 26.4 27.9 25.6 27.6 22.8 30.3 32.0 31.3 32.2 29.4 19.6 26.2 13.7 22.0 12.0 24.6 24.2 29.8 27.1 24.8 22.8 15.6 26.9 23.6 17.7 14.7 15.5 21.5 20.8 27.7 25.2 28.8 26.3 25.1 14.1 23.4 26.0 24.0 29.2 28.8 19.7 24.9 21.1 23.7 31.0 18.3



Foreignborn population (percent of total) 6.8 1.8 29.5 4.9 3.2 24.8 35.0 25.3 50.9 17.4 2.5 7.6 5.4 7.1 2.3 2.3 18.3 1.0 1.9 1.6 3.0 3.2 8.8 1.5 1.9 4.0 18.1 18.3 4.5 9.0 4.9 26.4 15.3 14.4 18.6 33.0 4.9 5.4 5.2 3.2 10.6 4.8 5.6 6.1 4.5 12.0 2.8 1.0 20.7 6.5 3.6 0.8 2.5 3.5 2.1 6.9 5.9 7.4 5.5 14.1 1.1 2.6 3.7 2.9 3.3 10.8 9.5 8.4 5.9 11.5 6.2 3.0



Speaking language other than English at home2 (percent) 12.7 4.5 83.1 7.7 5.6 45.2 44.7 28.8 67.9 21.7 5.9 25.8 10.3 10.2 4.8 4.6 32.4 3.0 4.0 3.6 5.4 4.8 11.7 3.5 4.4 6.3 25.2 25.1 6.7 17.7 9.3 35.8 21.4 20.0 25.7 44.3 7.1 10.3 8.8 6.6 37.1 9.8 9.4 9.2 7.6 21.9 5.7 3.0 33.0 8.7 6.4 2.1 4.8 6.4 4.3 12.0 11.7 12.5 9.4 24.2 3.1 5.1 6.4 7.7 7.2 14.3 12.8 15.4 9.7 20.3 11.3 16.1



Living in same house in 1995 and 20002 (percent) 53.6 59.4 61.1 46.5 52.1 50.5 49.1 47.1 50.2 49.5 58.3 54.0 54.8 54.3 45.4 58.1 50.8 56.8 61.0 53.5 55.1 57.4 50.2 52.0 58.6 49.3 53.0 44.2 48.7 58.5 59.3 61.5 58.9 67.2 60.0 60.8 57.7 55.2 50.3 61.1 57.1 52.0 48.9 48.1 52.9 44.0 53.7 56.0 51.7 51.6 49.4 61.8 57.3 47.9 58.3 61.4 62.5 62.0 56.5 41.9 56.8 66.5 61.5 50.5 55.9 45.5 51.1 59.1 44.1 59.5 43.5 51.5



Workers who drove alone to work3 (percent) 83.3 84.7 73.7 77.4 80.7 72.9 77.3 80.0 73.8 79.6 83.6 83.3 79.7 78.3 73.3 82.7 76.9 81.7 88.1 82.9 76.1 83.3 77.1 81.2 84.0 79.0 72.7 74.4 80.5 80.7 72.9 52.7 77.6 73.9 72.2 37.5 81.6 81.1 80.6 80.1 81.7 78.7 81.6 77.2 82.7 80.6 84.5 85.1 75.9 83.4 81.0 84.1 80.5 78.6 83.6 73.1 79.0 69.9 80.0 74.6 79.9 77.5 79.2 78.1 79.8 73.1 79.7 77.4 75.1 80.7 72.4 79.4



Persons below poverty in 1999 level (percent) 6.1 10.0 35.4 12.3 15.3 21.4 13.8 11.4 17.6 9.8 8.2 12.7 10.4 6.6 14.3 18.1 15.8 19.8 7.0 15.0 20.4 14.4 10.9 14.2 11.0 11.9 8.0 10.1 10.0 9.2 18.0 13.4 6.1 5.5 9.2 17.5 12.4 6.1 12.7 8.4 18.4 6.9 13.1 8.7 8.2 10.5 6.3 12.5 9.1 9.3 12.7 12.8 13.0 12.9 9.5 10.5 7.3 11.9 8.1 11.8 18.3 10.6 9.0 13.7 7.9 9.3 11.4 8.8 11.7 10.9 11.7 14.5



Miami-Fort Lauderdale-Miami Beach, FL . . . . . . . . . . Fort Lauderdale-Pompano Beach-Deerfield Beach, FL. Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . West Palm Beach-Boca Raton-Boynton Beach, FL . . . Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . Minneapolis-St. Paul-Bloomington, MN-WI Missoula, MT . . . . . . . . . . . . . . . . . . . Mobile, AL . . . . . . . . . . . . . . . . . . . . . Modesto, CA. . . . . . . . . . . . . . . . . . . . Monroe, LA . . . . . . . . . . . . . . . . . . . . Monroe, MI . . . . . . . . . . . . . Montgomery, AL . . . . . . . . . Morgantown, WV . . . . . . . . . Morristown, TN . . . . . . . . . . Mount Vernon-Anacortes, WA Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Muskegon-Norton Shores, MI. . . . . . . . . . . . Myrtle Beach-Conway-North Myrtle Beach, SC Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . Naples-Marco Island, FL . . . . . . . . . . . . . . . Nashville-Davidson-Murfreesboro, TN . . . . . . New Haven-Milford, CT. . . . . . . . . . . . . . . .



New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA Edison, NJ. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nassau-Suffolk, NY . . . . . . . . . . . . . . . . . . . . . . . . . Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . Niles-Benton Harbor, MI . Norwich-New London, CT Ocala, FL . . . . . . . . . . . Ocean City, NJ . . . . . . . Odessa, TX . . . . . . . . . Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Oklahoma City, OK . . . . . . . Olympia, WA. . . . . . . . . . . . Omaha-Council Bluffs, NE-IA . Orlando-Kissimee, FL . . . . . . Oshkosh-Neenah, WI . . . . . . Owensboro, KY . . . . . . . . . .



Oxnard-Thousand Oaks-Ventura, CA. Palm Bay-Melbourne-Titusville, FL . . Panama City-Lynn Haven, FL . . . . . Parkersburg-Marietta-Vienna, WV-OH Pascagoula, MS . . . . . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Peoria, IL . . . . . . . . . . . . . . . . . . Philadelphia-Camden-Wilmington, Camden, NJ . . . . . . . . . . . . . . Philadelphia, PA . . . . . . . . . . . . Wilmington, DE-MD-NJ . . . . . . . Phoenix-Mesa-Scottsdale, AZ . . . .



........... PA-NJ-DE-MD . ........... ........... ........... ........... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Pine Bluff, AR . . . . . . . . . . . . . . . . . . Pittsburgh, PA . . . . . . . . . . . . . . . . . . Pittsfield, MA. . . . . . . . . . . . . . . . . . . Pocatello, ID . . . . . . . . . . . . . . . . . . . Portland-South Portland-Biddeford, ME . Portland-Vancouver-Beaverton, OR-WA .



Port St. Lucie-Fort Pierce, FL. . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA. Provo-Orem, UT . . . . . . . . . . . . . . . . . . Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



141



Table B-4. Metropolitan Areas — Population Characteristics 2000 Census—Con.

Households Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total Punta Gorda, FL . Racine, WI . . . . . Raleigh-Cary, NC. Rapid City, SD . . Reading, PA . . . . Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,864 70,819 306,478 43,446 141,570 63,426 133,546 425,100 1,034,812 119,366 62,504 397,303 122,577 54,036 34,028 665,298 80,430 60,669 29,939 46,531 1,048,279 124,699 121,236 40,579 318,150 40,197 601,265 994,677 31,727 1,551,948 867,495 684,453 581,748 92,739 136,622 91,139 52,482 172,403 262,397 111,105 227,667 1,196,568 935,768 260,800 43,545 42,849 144,293 53,586 72,492 120,419 97,735 163,611 83,595 260,745 145,304 56,648 49,323 181,629 37,728 252,043 125,533 1,009,316 65,795 48,695 259,973 89,600 125,807 332,350 337,215 74,863 65,692 Family with children under 18 years (percent of total) 19.5 37.3 36.7 37.1 34.3 35.0 33.9 36.4 46.1 31.4 37.0 35.0 36.8 38.0 36.3 37.3 35.9 36.4 39.5 34.2 36.0 37.0 43.5 35.0 43.6 36.6 41.3 37.2 33.3 32.5 37.4 26.3 38.9 30.5 35.6 34.7 33.2 34.7 22.4 37.4 29.1 34.0 32.7 38.9 33.8 35.7 37.5 37.4 36.1 34.8 36.4 34.7 33.1 33.4 33.3 34.6 27.0 45.3 41.7 35.0 32.2 28.7 33.4 37.5 34.2 34.2 36.2 32.5 36.4 34.6 37.0 Educational attainment1 Households with income of $75,000 or more in 1999 (percent) 14.3 23.8 30.0 14.4 21.8 14.6 24.1 24.5 22.5 17.3 26.0 23.4 21.9 14.0 14.9 25.6 19.5 18.0 13.9 12.6 22.9 17.5 27.2 16.0 25.6 12.5 18.8 27.2 19.9 39.9 38.1 42.3 49.3 22.5 27.6 34.6 24.0 31.6 20.2 20.2 14.2 29.6 31.6 22.3 19.0 16.6 15.0 15.6 18.1 18.5 16.1 16.4 21.3 20.1 13.1 17.8 16.9 21.6 12.0 19.9 18.1 17.6 12.7 13.5 19.6 17.3 36.1 17.4 17.4 15.1 17.9



High school graduate or higher (percent) 82.1 82.9 86.3 87.8 78.0 83.3 84.0 81.4 74.6 79.4 89.9 84.3 81.3 71.8 71.5 84.6 81.6 86.0 87.6 81.4 83.1 80.4 68.4 78.1 87.0 76.3 77.1 82.6 84.0 84.2 84.2 84.2 83.2 85.6 79.2 83.2 84.5 84.9 84.7 79.9 81.5 89.3 90.0 86.9 84.4 80.2 79.2 80.9 88.1 82.1 73.1 89.1 88.1 82.4 83.0 81.2 88.2 71.2 74.3 84.5 84.7 81.5 81.2 76.4 84.1 88.0 81.8 83.4 83.2 76.8 80.2



Bachelor’s degree or higher (percent) 17.6 20.3 37.6 23.3 18.5 16.6 23.7 27.6 16.3 21.0 30.5 27.7 18.8 13.9 15.8 26.5 15.9 21.0 21.0 16.4 24.8 20.8 22.5 19.5 27.6 19.5 22.1 29.5 16.6 38.8 35.0 43.6 39.8 26.7 29.4 34.2 36.9 28.5 24.6 23.2 17.5 32.7 36.1 20.6 17.9 17.2 19.2 18.5 25.1 21.7 18.2 25.0 28.1 25.2 21.3 14.9 36.3 14.5 15.8 25.2 34.1 21.7 17.4 15.0 21.2 23.6 34.0 26.7 22.5 21.9 22.5



Foreignborn population (percent of total) 8.0 4.1 8.7 2.0 4.3 4.0 14.0 4.2 18.8 2.4 6.5 5.9 6.3 2.6 5.2 14.5 2.0 2.3 4.1 1.0 3.0 11.5 29.0 3.6 10.0 5.9 9.8 21.5 1.5 27.4 24.0 32.0 33.6 8.9 21.2 18.2 10.1 14.3 8.9 3.5 2.0 12.6 14.0 8.1 4.3 3.9 1.7 7.8 3.4 4.1 3.7 4.5 1.8 6.7 1.5 1.2 5.8 19.5 2.1 4.5 4.3 9.8 1.4 1.4 2.8 2.2 13.9 11.9 3.9 1.9 6.6



Speaking language other than English at home2 (percent) 8.2 8.4 11.4 4.9 12.7 6.5 19.8 6.6 33.5 4.3 8.6 10.0 10.3 5.4 7.8 21.9 6.4 6.0 7.6 3.1 5.2 17.8 47.3 5.4 15.7 26.5 40.2 33.0 3.8 35.8 32.5 40.3 45.1 14.7 32.8 27.8 36.9 19.8 11.3 6.0 5.2 15.6 16.8 11.8 8.7 7.1 4.3 12.7 6.0 7.9 6.3 6.6 3.5 18.2 4.0 3.0 8.6 33.7 4.6 7.6 7.1 15.3 3.4 4.7 6.4 5.2 20.2 27.5 6.7 4.1 12.0



Living in same house in 1995 and 20002 (percent) 52.5 57.3 44.3 48.2 61.1 50.0 41.3 54.0 47.5 57.6 56.8 58.4 55.7 56.8 53.8 47.4 61.5 56.8 42.5 55.9 56.9 45.4 48.8 55.8 49.4 48.6 51.6 45.1 61.7 53.2 51.7 55.2 51.1 46.7 48.3 50.6 53.4 52.0 49.6 50.6 68.9 47.3 47.5 46.9 59.3 51.3 54.6 55.2 50.7 56.1 56.3 50.8 55.2 57.9 46.8 57.7 46.9 51.2 55.0 58.7 46.2 49.1 56.1 53.4 56.9 55.5 57.4 46.2 50.2 53.6 51.0



Workers who drove alone to work3 (percent) 81.7 83.6 80.8 82.1 81.1 79.7 75.4 81.7 73.5 83.4 76.8 81.7 83.3 80.7 79.8 75.3 85.9 78.0 75.8 81.7 82.5 73.1 68.7 78.3 76.0 79.4 76.2 73.9 88.1 62.8 67.9 56.5 77.2 73.9 69.4 69.5 71.4 74.7 80.3 77.8 81.4 71.6 70.3 76.4 81.0 80.8 80.8 78.2 82.8 81.4 82.2 76.7 81.8 79.3 81.3 82.6 66.7 74.6 80.4 80.0 78.6 79.7 82.3 83.1 84.6 81.9 73.3 73.8 80.9 83.2 81.8



Persons below poverty in 1999 level (percent) 8.1 8.2 8.6 10.8 9.2 15.0 9.8 9.1 14.7 9.2 6.2 10.1 9.1 15.5 13.8 12.5 13.6 8.0 11.1 10.8 9.8 12.7 12.9 13.2 7.7 14.5 14.7 12.0 8.1 9.0 9.5 8.3 7.5 12.1 13.8 11.5 11.8 7.9 8.6 14.1 10.5 8.4 7.8 10.2 5.0 10.9 19.0 9.8 6.9 9.9 12.0 11.9 9.1 12.4 11.9 10.4 16.8 17.2 15.7 11.8 16.9 11.0 11.5 17.1 11.8 8.9 8.1 14.3 11.5 18.0 13.5



Reno-Sparks, NV. . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . . . . . . Riverside-San Bernardino-Ontario, CA . Roanoke, VA. . . . . . . . . . . . . . . . . . Rochester, MN . . . . . . . . . . . . . . . . Rochester, NY. . . . . . . . . . . . . . . . .



Rockford, IL . . . . . . . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . Sacramento-Arden-Arcade-Roseville, CA . Saginaw-Saginaw Township North, MI . . . St. Cloud, MN . . . . . . . . . . . . . . . . . . . St. George, UT . . . St. Joseph, MO-KS St. Louis, MO-IL5 . . Salem, OR . . . . . . Salinas, CA . . . . . Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Salt Lake City, UT . . . . . . . . . . . . . San Angelo, TX . . . . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA Sandusky, OH . . . . . . . . . . . . . . . .



San Francisco-Oakland-Fremont, CA . . . Oakland-Fremont-Hayward, CA . . . . . . . San Francisco-San Mateo-Redwood City, San Jose-Sunnyvale-Santa Clara, CA . . . . San Luis Obispo-Paso Robles, CA . . . . . . Santa Barbara-Santa Maria, CA . . . . . . . . Santa Cruz-Watsonville, CA. . . Santa Fe, NM . . . . . . . . . . . . Santa Rosa-Petaluma, CA. . . . Sarasota-Bradenton-Venice, FL Savannah, GA . . . . . . . . . . . Scranton-Wilkes-Barre, PA . . . Seattle-Tacoma-Bellevue, WA Seattle-Bellevue-Everett, WA Tacoma, WA . . . . . . . . . . . Sheboygan, WI . . . . . . . . . . . Sherman-Denison, TX . . . . . . Shreveport-Bossier City, LA . . . Sioux City, IA-NE-SD . . Sioux Falls, SD . . . . . . South Bend-Mishawaka, Spartanburg, SC . . . . . Spokane, WA . . . . . . . Springfield, IL . . . . . . . Springfield, MA . . Springfield, MO . . Springfield, OH . . State College, PA Stockton, CA . . . Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..... ..... IN-MI . ..... ..... ..... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



... ... CA. ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Syracuse, NY . . . . . . . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Terre Haute, IN . . . . . . . . . . . . . . . Texarkana, TX-Texarkana, AR . . . . . Toledo, OH . . . . . . . . . . . . . . . . . . Topeka, KS. . . . . . Trenton-Ewing, NJ . Tucson, AZ . . . . . . Tulsa, OK. . . . . . . Tuscaloosa, AL . . . Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



142



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-4. Metropolitan Areas — Population Characteristics 2000 Census—Con.

Households Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Total Utica-Rome, NY . . . . . . . . . . Valdosta, GA. . . . . . . . . . . . . Vallejo-Fairfield, CA . . . . . . . . Vero Beach, FL . . . . . . . . . . . Victoria, TX. . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,230 42,666 130,403 49,137 40,157 49,143 580,278 110,385 78,859 40,911 1,800,263 394,625 1,405,638 63,527 47,702 54,491 36,747 62,249 220,440 56,109 47,003 114,675 40,053 169,685 283,927 73,993 148,219 238,319 47,568 53,848 Family with children under 18 years (percent of total) 32.7 39.3 44.6 24.3 41.0 39.3 39.5 50.0 37.0 42.0 36.6 37.9 36.2 31.9 35.5 29.3 38.3 30.2 37.2 37.0 32.3 29.5 35.8 34.1 35.9 43.9 34.9 32.1 42.3 40.6 Educational attainment1 Households with income of $75,000 or more in 1999 (percent) 14.0 12.6 31.8 20.1 17.3 17.9 20.1 14.9 15.0 19.9 40.7 45.6 39.3 15.4 18.7 10.5 16.8 10.9 19.7 12.5 12.1 17.7 17.0 20.0 27.3 14.3 19.5 15.2 15.3 12.5



High school graduate or higher (percent) 79.1 75.0 83.8 81.6 74.6 68.5 84.6 61.7 76.6 84.3 87.0 89.8 86.1 86.6 83.8 81.6 78.9 81.2 85.4 80.0 80.6 82.6 76.4 79.8 83.5 68.7 80.7 82.6 72.5 65.8



Bachelor’s degree or higher (percent) 17.7 17.4 21.4 23.1 15.2 11.7 23.7 11.5 19.1 19.8 42.5 50.2 40.2 22.3 18.3 12.1 20.0 14.6 24.3 19.2 15.1 24.2 18.3 24.0 26.9 15.3 18.4 16.3 13.2 11.8



Foreignborn population (percent of total) 4.5 2.8 16.9 8.1 5.0 6.2 4.5 22.6 6.1 3.4 17.3 22.5 15.8 3.2 3.5 1.4 13.1 1.0 5.7 4.7 1.2 3.2 3.0 5.5 7.9 16.9 2.2 2.0 16.6 24.0



Speaking language other than English at home2 (percent) 8.6 5.1 24.6 10.4 28.2 20.4 7.6 43.8 15.6 6.1 21.3 26.8 19.7 5.9 7.4 4.3 19.6 3.4 9.5 11.2 3.3 5.2 5.3 8.1 15.0 31.8 5.3 6.1 26.7 45.5



Living in same house in 1995 and 20002 (percent) 64.1 48.5 49.9 52.1 54.0 60.9 48.0 53.1 48.2 47.3 50.1 53.1 49.2 56.6 61.7 68.8 52.7 66.2 50.6 47.9 61.0 49.2 55.6 55.2 59.0 53.8 60.2 64.4 49.7 46.1



Workers who drove alone to work3 (percent) 79.6 78.9 73.3 80.4 77.8 78.3 78.8 72.2 79.1 83.3 67.5 70.8 66.5 81.9 81.1 85.3 74.1 81.8 84.4 78.2 80.3 81.1 78.5 80.8 82.6 77.5 84.3 86.1 76.1 73.7



Persons below poverty in 1999 level (percent) 12.2 18.2 7.9 9.1 13.6 13.9 10.2 23.5 16.8 10.0 7.2 5.2 7.8 10.8 6.5 13.1 12.9 14.8 9.0 11.8 11.0 12.7 9.6 10.3 8.9 19.4 6.6 11.1 17.4 18.5



Virginia Beach-Norfolk-Newport News, VA-NC. . . . . Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV Bethesda-Gaithersburg-Frederick, MD . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV . Waterloo-Cedar Falls, IA . . . . Wausau, WI . . . . . . . . . . . . Weirton-Steubenville, WV-OH. Wenatchee, WA . . . . . . . . . Wheeling, WV-OH . . . . . . . . Wichita, KS. . . . . . . . . . . . . Wichita Falls, TX . . Williamsport, PA . . Wilmington, NC . . . Winchester, VA-WV Winston-Salem, NC Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Yakima, WA . . . . . . . . . . . . . York-Hanover, PA . . . . . . . . . Youngstown-Warren-Boardman, Yuba City, CA . . . . . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . .

1 2 3



...... ...... OH-PA . ...... ......



Persons 25 years and over. Persons 5 years and over. Workers 16 years and over. 4 The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield city is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 5 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA. Note: Covers metropolitan statistical areas and metropolitan divisions and component counties defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . Survey, Census, or Data Collection Method: Based on the Census of Population and Housing; for more information, see Appendix B, Limitations of the Data and Methodology, and also 2000 Census of Population and Housing, Demographic Profile Technical Documentation (revised August 2002) at ; Census 2000 Summary File 1, Technical Documentation, SF1/13 (RV) (issued March 2005) at ; and Census 2000 Summary File 3, Technical Documentation, SF3/15 (RV) (issued March 2005) at . Sources: Households—U.S. Census Bureau, 2000 Census of Population and Housing, ‘‘Census 2000 Profiles of General Demographic Characteristics’’ data files (DP1) (accessed 14 June 2002) and related Internet site at . See also 2000 Census of Population and Housing, Summary File 1 (SF1) and related Internet site and 2000 Census of Population and Housing, Summary Population and Housing Characteristics, PHC-1-1 to 52, and related Internet site at ; Educational attainment, foreign born, language, residence, commuting, income, and poverty—U.S. Census Bureau, 2000 Census of Population and Housing, Summary File 3 (SF3) (accessed 12 January 2004) and related Internet site at and 2000 Census of Population and Housing, Summary Social, Economic, and Housing Characteristics, PHC-2-1 to 52, and related Internet site at .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



143



Table B-5. Metropolitan Areas — Births, Deaths, Infant Deaths

Births Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Number 2002 Abilene, TX. . . . . . . . . . . . . Akron, OH . . . . . . . . . . . . . Albany, GA . . . . . . . . . . . . . Albany-Schenectady-Troy, NY Albuquerque, NM. . . . . . . . . Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,259 8,443 2,251 9,328 11,192 2,095 8,858 1,461 3,612 923 4,985 1,605 2,144 4,203 1,455 2,904 4,428 2,215 73,534 3,559 1,413 7,191 22,484 12,217 33,691 1,502 1,971 10,210 1,855 1,293 5,104 1,957 1,489 1,857 2,673 14,489 1,167 1,446 1,900 2,100 8,250 57,315 24,296 18,795 9,583 4,641 3,700 1,422 2,945 11,943 8,639 1,252 13,080 1,815 2,269 4,806 5,389 723 895 3,262 2,539 3,817 7,899 21,920 2,158 6,058 1,203 140,181 118,535 9,183 12,463 2000 2,371 8,822 2,467 9,689 10,733 2,254 8,594 1,500 3,538 940 4,986 1,648 2,218 4,137 1,528 2,803 4,428 2,134 71,734 3,403 1,457 7,571 21,780 11,689 34,781 1,541 1,996 10,812 1,874 1,289 5,292 2,077 1,439 1,779 2,825 15,194 1,168 1,652 1,920 1,991 7,804 58,222 24,551 19,393 9,563 4,715 3,878 1,345 3,109 12,430 8,318 1,304 13,788 1,903 2,332 5,276 5,200 719 906 3,269 2,705 3,763 7,931 21,811 2,206 6,242 1,162 143,767 121,574 9,471 12,722 Rate per 1,0001 2002 14.3 12.1 14.1 11.2 14.9 14.4 11.7 11.4 15.6 11.4 15.0 12.2 12.6 12.6 13.1 13.9 11.7 13.1 16.3 13.7 12.0 14.2 16.7 17.6 13.0 10.2 8.7 14.3 13.4 11.8 13.3 11.2 11.9 13.1 10.6 13.6 12.1 9.6 10.8 13.5 16.5 12.9 13.3 12.8 13.0 11.5 13.3 13.4 12.4 13.3 24.5 13.1 11.3 13.4 11.2 11.8 11.3 13.3 13.3 13.5 11.9 12.4 14.0 15.6 12.1 12.5 14.5 15.1 15.3 13.5 15.0 2000 14.8 12.7 15.6 11.7 14.7 15.5 11.6 11.6 15.6 11.8 15.6 12.4 13.4 12.8 13.6 13.9 12.0 12.8 16.9 13.5 12.7 15.2 17.4 17.7 13.6 10.6 9.0 15.3 13.6 11.7 13.7 12.5 12.5 12.8 11.2 14.4 12.3 10.9 10.9 13.2 16.8 13.3 13.5 13.2 13.2 12.1 13.3 12.9 13.4 14.1 24.8 14.0 11.8 14.5 11.7 13.0 11.8 13.7 13.6 13.8 12.9 12.2 14.4 16.4 12.7 13.1 14.2 15.8 15.9 14.0 16.0 Number 2002 1,520 6,611 1,381 7,759 5,638 1,558 7,481 1,667 2,150 471 1,523 1,476 1,770 1,806 1,234 1,369 4,239 1,158 27,736 2,793 735 4,579 6,742 5,131 23,725 1,392 2,717 5,854 1,474 1,124 3,897 1,304 973 1,342 2,555 11,043 788 1,209 1,363 1,036 3,119 36,432 15,308 11,760 6,661 2,703 1,433 920 1,766 7,130 2,128 961 12,427 1,289 1,378 4,089 5,465 640 615 1,933 1,530 3,638 4,593 10,422 1,375 4,970 667 70,757 59,297 6,357 5,103 2000 1,527 6,430 1,321 7,688 5,130 1,555 7,413 1,590 1,948 474 1,368 1,449 1,700 1,895 1,365 1,360 4,187 1,162 26,813 2,537 771 4,372 6,408 4,643 23,994 1,403 2,769 5,452 1,427 1,135 3,940 1,228 916 1,230 2,607 10,609 794 1,233 1,244 986 3,116 36,250 15,227 11,859 6,540 2,624 1,420 833 1,723 7,072 1,808 908 12,402 1,342 1,345 4,142 5,087 549 567 1,845 1,480 3,658 4,499 10,094 1,421 4,917 660 71,432 60,119 6,414 4,899 Deaths Rate per 1,0001 2002 9.6 9.5 8.6 9.3 7.5 10.7 9.9 13.1 9.3 5.8 4.6 11.2 10.4 5.4 11.1 6.6 11.2 6.8 6.2 10.8 6.3 9.0 5.0 7.4 9.1 9.5 11.9 8.2 10.6 10.2 10.2 7.5 7.7 9.5 10.2 10.4 8.2 8.0 7.8 6.7 6.3 8.2 8.4 8.0 9.0 6.7 5.1 8.7 7.4 8.0 6.0 10.1 10.7 9.5 6.8 10.0 11.5 11.7 9.1 8.0 7.2 11.9 8.1 7.4 7.7 10.3 8.0 7.6 7.6 9.3 6.2 2000 9.5 9.3 8.4 9.3 7.0 10.7 10.0 12.3 8.6 5.9 4.3 10.9 10.3 5.9 12.2 6.7 11.3 7.0 6.3 10.0 6.7 8.7 5.1 7.0 9.4 9.7 12.5 7.7 10.3 10.3 10.2 7.4 7.9 8.9 10.3 10.1 8.4 8.2 7.1 6.6 6.7 8.3 8.4 8.1 9.0 6.7 4.9 8.0 7.4 8.0 5.4 9.8 10.6 10.3 6.8 10.2 11.5 10.5 8.5 7.8 7.0 11.8 8.2 7.6 8.2 10.3 8.1 7.9 7.9 9.5 6.2 2002 26 44 16 75 85 25 56 8 43 6 21 16 19 25 14 18 25 13 606 42 5 68 105 76 249 6 10 95 15 7 41 8 5 16 26 147 12 4 11 16 55 255 116 74 41 24 18 13 20 83 43 17 108 19 10 37 40 1 6 17 25 32 85 164 16 53 11 1054 897 96 61 Number 2000 8 65 26 66 65 23 52 6 39 6 23 15 21 33 19 11 35 16 526 35 15 82 100 86 274 5 13 85 15 6 38 7 10 7 20 172 6 6 17 7 53 266 114 81 53 18 20 10 19 55 30 10 105 30 20 36 36 4 4 14 29 33 58 194 17 66 7 1218 1084 74 60 1990 26 75 37 93 85 18 65 16 21 10 55 19 25 33 24 24 42 29 612 53 14 104 98 129 376 10 25 118 26 12 45 14 5 15 26 163 3 16 16 8 55 459 201 133 90 35 23 10 24 95 40 15 149 16 19 36 31 2 10 30 23 37 117 193 21 63 12 1701 1524 93 84 Infant deaths2 Rate per 1,000 live births3 2002 11.5 5.2 7.1 8.0 7.6 11.9 6.3 5.5 11.9 6.5 4.2 10.0 8.9 5.9 9.6 6.2 5.6 5.9 8.2 11.8 3.5 9.5 4.7 6.2 7.4 4.0 5.1 9.3 8.1 5.4 8.0 4.1 3.4 8.6 9.7 10.1 10.3 2.8 5.8 7.6 6.7 4.4 4.8 3.9 4.3 5.2 4.9 9.1 6.8 6.9 5.0 13.6 8.3 10.5 4.4 7.7 7.4 1.4 6.7 5.2 9.8 8.4 10.8 7.5 7.4 8.7 9.1 7.5 7.6 10.5 4.9 2000 3.4 7.4 10.5 6.8 6.1 10.2 6.1 4.0 11.0 6.4 4.6 9.1 9.5 8.0 12.4 3.9 7.9 7.5 7.3 10.3 10.3 10.8 4.6 7.4 7.9 3.2 6.5 7.9 8.0 4.7 7.2 3.4 6.9 3.9 7.1 11.3 5.1 3.6 8.9 3.5 6.8 4.6 4.6 4.2 5.5 3.8 5.2 7.4 6.1 4.4 3.6 7.7 7.6 15.8 8.6 6.8 6.9 5.6 4.4 4.3 10.7 8.8 7.3 8.9 7.7 10.6 6.0 8.5 8.9 7.8 4.7 1990 10.5 7.6 13.8 7.9 8.3 7.9 6.7 10.0 6.1 10.8 9.8 10.5 11.7 7.9 14.1 8.7 10.4 14.5 11.3 13.0 10.7 13.1 6.6 10.3 9.4 5.1 10.1 11.2 11.6 7.1 8.1 7.9 4.7 8.5 6.8 10.9 2.5 9.7 8.2 4.4 10.3 7.1 7.3 6.5 8.2 6.1 6.9 8.4 7.0 7.3 6.0 11.4 8.4 10.6 6.8 6.3 6.8 3.3 10.7 9.3 7.8 9.3 11.7 11.1 10.1 9.7 10.0 11.3 11.8 9.5 7.1



Allentown-Bethlehem-Easton, PA-NJ . Altoona, PA . . . . . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . . Anderson, IN . . . . . . . . . . . . . . . . Anderson, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . Anniston-Oxford, AL . . . . . Appleton, WI . . . . . . . . . . Asheville, NC . . . . . . . . . Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Atlanta-Sandy Springs-Marietta, GA Atlantic City, NJ . . . . . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . Augusta-Richmond County, GA-SC . Austin-Round Rock, TX. . . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Baltimore-Towson, MD Bangor, ME . . . . . . . Barnstable Town, MA . Baton Rouge, LA . . . . Battle Creek, MI . . . . Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Beaumont-Port Arthur, TX Bellingham, WA. . . . . . . Bend, OR . . . . . . . . . . . Billings, MT. . . . . . . . . . Binghamton, NY . . . . . . Birmingham-Hoover, AL .



Bismarck, ND . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA Bloomington, IN. . . . . . . . . . . . . . . . Bloomington-Normal, IL. . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . .



Boston-Cambridge-Quincy, MA-NH . . . . . Boston-Quincy, MA . . . . . . . . . . . . . . . . Cambridge-Newton-Framingham, MA . . . . Essex County, MA . . . . . . . . . . . . . . . . Rockingham County-Strafford County, NH . Boulder, CO4 . . . . . . . . . . . . . . . . . . . . . Bowling Green, KY. . . . . . . . . . Bremerton-Silverdale, WA . . . . . Bridgeport-Stamford-Norwalk, CT Brownsville-Harlingen, TX . . . . . Brunswick, GA . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . . Burlington, NC. . . . . . . . . . . . Burlington-South Burlington, VT Canton-Massillon, OH. . . . . . . Cape Coral-Fort Myers, FL . . . Carson City, NV. . . . . . . . . . . Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Cedar Rapids, IA . . . . . . . . . . . . . . Champaign-Urbana, IL . . . . . . . . . . Charleston, WV . . . . . . . . . . . . . . . Charleston-North Charleston, SC . . . Charlotte-Gastonia-Concord, NC-SC . Charlottesville, VA . . . . . . . . . . . . .



Chattanooga, TN-GA . . . . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI . . Chicago-Naperville-Joliet, IL . . . . . . Gary, IN . . . . . . . . . . . . . . . . . . . Lake County-Kenosha County, IL-WI See footnotes at end of table.



144



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-5. Metropolitan Areas — Births, Deaths, Infant Deaths—Con.

Births Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Number 2002 Chico, CA. . . . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN Clarksville, TN-KY . . . . . . . . . . Cleveland, TN . . . . . . . . . . . . . Cleveland-Elyria-Mentor, OH . . . Coeur d’Alene, ID . . . . . . . . . . College Station-Bryan, TX . Colorado Springs, CO. . . . Columbia, MO . . . . . . . . . Columbia, SC . . . . . . . . . Columbus, GA-AL . . . . . . Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,265 28,852 4,179 1,377 26,762 1,470 2,738 8,790 1,905 8,789 4,175 982 24,932 6,317 779 1,024 96,375 65,730 30,645 2,437 1,100 1,246 4,963 10,682 1,868 1,466 4,533 37,297 7,590 59,672 29,281 30,391 1,772 1,886 1,151 2,872 6,491 1,797 2,674 1,690 3,004 1,072 14,061 3,374 3,495 4,348 1,515 2,298 1,976 6,106 5,999 1,883 6,219 2,730 1,548 1,132 3,269 4,132 2,455 5,915 14,770 1,265 2,603 2,923 1,291 1,659 1,232 1,554 11,273 1,081 3,532 3,901 8,732 2,225 2000 2,197 30,130 4,472 1,414 28,451 1,507 2,767 8,502 1,913 8,991 4,549 1,069 25,112 6,720 760 1,129 92,310 63,208 29,102 2,341 1,208 1,333 5,047 11,395 2,019 1,445 4,456 35,021 7,630 63,070 31,149 31,921 1,903 1,942 1,221 2,927 6,196 1,790 2,640 1,652 3,305 1,089 14,293 3,479 3,705 4,483 1,538 2,208 1,953 6,334 5,378 1,876 6,360 2,820 1,662 1,151 3,254 4,165 2,363 5,998 14,265 1,384 2,784 2,887 1,239 1,764 1,257 1,473 11,803 1,008 3,171 3,819 9,250 2,290 Rate per 1,0001 2002 10.9 14.2 17.8 13.0 12.5 12.9 14.7 15.6 12.8 13.3 14.6 13.7 15.0 15.6 9.9 10.1 17.6 17.9 16.9 19.4 13.2 11.4 13.2 12.6 12.8 13.0 9.9 16.4 15.3 13.3 14.4 12.5 13.4 14.3 12.9 10.4 14.7 11.9 18.4 15.5 16.2 11.8 20.3 11.9 10.7 12.6 17.9 13.0 16.5 17.9 16.3 15.7 14.1 14.0 10.9 11.6 12.4 14.9 14.0 14.9 17.8 12.3 11.0 19.3 10.3 14.7 12.9 12.7 14.9 13.6 17.3 13.5 13.3 14.2 2000 10.8 15.0 19.3 13.6 13.2 13.9 15.0 15.8 13.1 13.9 16.1 15.0 15.6 16.7 9.7 11.1 17.9 18.3 17.0 19.5 14.4 12.1 13.4 13.4 13.8 12.6 10.1 16.2 15.8 14.2 15.1 13.3 14.5 15.3 13.7 10.6 14.5 12.1 18.5 15.4 18.1 12.0 21.0 12.4 11.5 13.1 18.6 12.7 17.2 18.8 15.5 16.1 14.6 14.6 11.6 11.8 12.9 15.2 13.9 15.4 17.8 13.4 12.0 20.7 10.0 15.6 12.9 12.7 15.9 12.5 17.5 13.5 14.4 15.0 Number 2002 2,262 18,134 1,769 970 21,951 897 1,123 3,281 994 5,468 2,797 618 12,747 3,269 483 1,239 33,235 21,055 12,180 960 1,013 1,394 3,580 8,153 1,397 1,181 6,108 14,005 3,800 39,682 20,016 19,666 1,321 1,120 785 3,005 3,229 1,237 964 866 1,472 912 4,245 2,727 2,980 3,500 281 1,233 773 2,272 2,848 602 4,117 2,048 1,562 877 1,557 2,882 1,361 3,233 5,803 1,319 1,657 1,076 1,147 1,036 833 1,222 5,416 763 1,220 2,079 5,695 1,238 2000 2,141 17,347 1,752 999 21,401 873 1,117 3,010 956 5,499 2,699 628 12,434 3,358 440 1,246 31,737 20,177 11,560 974 939 1,330 3,521 8,141 1,400 1,153 5,694 13,078 3,731 39,407 20,299 19,108 1,389 1,024 855 2,949 3,308 1,177 862 845 1,468 962 3,948 2,745 2,845 3,544 330 1,132 709 2,262 2,793 507 3,920 2,069 1,511 908 1,498 2,757 1,327 3,095 5,379 1,320 1,706 1,021 1,228 1,098 786 1,136 5,484 792 1,112 2,139 5,770 1,234 Deaths Rate per 1,0001 2002 10.8 8.9 7.6 9.2 10.2 7.8 6.0 5.8 6.7 8.3 9.8 8.6 7.7 8.1 6.1 12.3 6.1 5.7 6.7 7.7 12.2 12.8 9.5 9.6 9.5 10.5 13.3 6.2 7.7 8.9 9.8 8.1 10.0 8.5 8.8 10.9 7.3 8.2 6.6 8.0 7.9 10.0 6.1 9.7 9.1 10.2 3.3 7.0 6.4 6.7 7.8 5.0 9.3 10.5 11.0 9.0 5.9 10.4 7.8 8.1 7.0 12.8 7.0 7.1 9.1 9.2 8.7 10.0 7.2 9.6 6.0 7.2 8.7 7.9 2000 10.5 8.6 7.6 9.6 10.0 8.0 6.0 5.6 6.6 8.5 9.6 8.8 7.7 8.3 5.6 12.2 6.1 5.8 6.8 8.1 11.2 12.1 9.4 9.6 9.6 10.1 12.8 6.1 7.8 8.9 9.8 8.0 10.6 8.1 9.6 10.7 7.8 7.9 6.1 7.9 8.0 10.6 5.8 9.8 8.8 10.3 4.0 6.5 6.2 6.7 8.0 4.4 9.0 10.7 10.6 9.3 6.0 10.1 7.8 7.9 6.7 12.8 7.3 7.3 9.9 9.7 8.1 9.8 7.4 9.9 6.1 7.6 9.0 8.1 2002 18 216 35 13 246 7 12 58 13 77 43 7 206 44 – 10 613 401 212 15 6 11 24 76 10 9 28 218 39 517 343 174 14 27 5 19 52 12 10 12 19 7 51 38 30 37 7 6 13 70 36 13 81 29 7 6 16 22 24 38 102 5 34 25 8 16 2 16 85 9 21 18 84 26 Number 2000 14 228 40 9 246 10 12 72 18 74 68 9 199 49 1 6 494 314 180 11 11 12 49 82 16 11 39 209 55 541 338 203 18 21 9 19 45 4 12 14 31 3 63 23 28 34 12 26 13 64 32 16 78 34 10 8 16 31 15 40 102 11 31 16 6 20 6 8 106 10 18 24 71 19 1990 21 294 27 8 420 7 13 70 23 105 71 5 230 54 6 11 681 428 253 11 12 20 54 111 15 20 39 259 59 884 661 223 16 29 16 25 57 9 24 12 27 15 90 58 25 52 14 18 23 57 33 22 93 50 11 9 17 22 22 53 132 19 33 13 13 20 14 12 106 12 17 26 77 30 Infant deaths2 Rate per 1,000 live births3 2002 7.9 7.5 8.4 9.4 9.2 4.8 4.4 6.6 6.8 8.8 10.3 7.1 8.3 7.0 0.0 9.8 6.4 6.1 6.9 6.2 5.5 8.8 4.8 7.1 5.4 6.1 6.2 5.8 5.1 8.7 11.7 5.7 7.9 14.3 4.3 6.6 8.0 6.7 3.7 7.1 6.3 6.5 3.6 11.3 8.6 8.5 4.6 2.6 6.6 11.5 6.0 6.9 13.0 10.6 4.5 5.3 4.9 5.3 9.8 6.4 6.9 4.0 13.1 8.6 6.2 9.6 1.6 10.3 7.5 8.3 5.9 4.6 9.6 11.7 2000 6.4 7.6 8.9 6.4 8.6 6.6 4.3 8.5 9.4 8.2 14.9 8.4 7.9 7.3 1.3 5.3 5.4 5.0 6.2 4.7 9.1 9.0 9.7 7.2 7.9 7.6 8.8 6.0 7.2 8.6 10.9 6.4 9.5 10.8 7.4 6.5 7.3 2.2 4.5 8.5 9.4 2.8 4.4 6.6 7.6 7.6 7.8 11.8 6.7 10.1 6.0 8.5 12.3 12.1 6.0 7.0 4.9 7.4 6.3 6.7 7.2 7.9 11.1 5.5 4.8 11.3 4.8 5.4 9.0 9.9 5.7 6.3 7.7 8.3 1990 7.9 9.8 7.4 6.4 12.6 7.0 5.5 9.3 12.8 11.6 14.5 5.0 10.1 8.2 6.8 8.9 9.0 8.5 9.9 6.3 9.5 13.3 9.9 8.7 7.5 11.6 8.2 9.3 9.0 12.0 16.2 6.8 8.7 14.2 12.7 7.7 10.7 4.7 8.3 6.2 9.9 10.8 6.0 13.8 6.4 10.8 8.1 8.1 11.8 9.2 9.0 11.2 12.1 17.0 6.1 7.1 6.1 5.9 8.8 8.6 8.5 14.1 11.5 7.5 7.5 11.7 8.3 9.4 8.8 8.9 7.7 6.8 9.7 15.8



Columbus, OH . . . . . . . . . . Corpus Christi, TX . . . . . . . . Corvallis, OR . . . . . . . . . . . Cumberland, MD-WV . . . . . . Dallas-Fort Worth-Arlington, Dallas-Plano-Irving, TX . . . Fort Worth-Arlington, TX . .



... ... ... ... TX . ... ...



Dalton, GA . . . . . . . . . . . . . . . . . Danville, IL . . . . . . . . . . . . . . . . . Danville, VA . . . . . . . . . . . . . . . . Davenport-Moline-Rock Island, IA-IL Dayton, OH . . . . . . . . . . . . . . . . Decatur, AL . . . . . . . . . . . . . . . .



Decatur, IL . . . . . . . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, FL Denver-Aurora, CO4 . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . . . . . . . . . . . Detroit-Warren-Livonia, MI. . . . . . . . . . . Detroit-Livonia-Dearborn, MI . . . . . . . . . Warren-Farmington Hills-Troy, MI . . . . . . Dothan, AL . . . Dover, DE . . . Dubuque, IA . . Duluth, MN-WI Durham, NC . . Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



El Centro, CA . . . . Elizabethtown, KY . Elkhart-Goshen, IN. Elmira, NY . . . . . . El Paso, TX . . . . . Erie, PA . . . . . . . .



Eugene-Springfield, OR Evansville, IN-KY . . . . . Fairbanks, AK . . . . . . . Fargo, ND-MN. . . . . . . Farmington, NM. . . . . . Fayetteville, NC . . . . . .



Fayetteville-Springdale-Rogers, AR-MO . Flagstaff, AZ . . . . . . . . . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Florence, SC. . . . . . . . . . . . . . . . . . . Florence-Muscle Shoals, AL. . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Fort Wayne, IN . . . . . . . . . . . . . . . . . Fresno, CA . . . . . . . . . . . . . . . . . . . . Gadsden, AL. . . . . . . . . . . . . . . . . . . Gainesville, FL . . . . Gainesville, GA . . . . Glens Falls, NY . . . . Goldsboro, NC . . . . Grand Forks, ND-MN Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Grand Rapids-Wyoming, MI . Great Falls, MT . . . . . . . . . Greeley, CO4 . . . . . . . . . . Green Bay, WI . . . . . . . . . Greensboro-High Point, NC . Greenville, NC. . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



145



Table B-5. Metropolitan Areas — Births, Deaths, Infant Deaths—Con.

Births Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Number 2002 Greenville, SC. . . . . . . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . . Hagerstown-Martinsburg, MD-WV . Hanford-Corcoran, CA . . . . . . . . Harrisburg-Carlisle, PA . . . . . . . . Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,452 3,670 2,965 2,311 5,808 1,406 13,191 1,899 4,472 1,588 3,486 12,868 1,007 2,928 86,712 3,414 4,354 1,905 24,471 1,751 832 2,005 7,496 1,498 16,356 3,114 1,968 1,781 2,056 1,453 1,542 2,441 4,076 1,578 28,438 3,355 6,761 3,176 1,795 7,541 1,339 1,442 2,296 3,660 2,823 6,818 6,752 5,692 5,941 3,078 23,815 1,208 1,904 1,534 698 1,256 5,628 1,485 3,981 9,001 2,526 3,012 1,243 196,006 151,192 44,814 15,709 4,042 2,597 3,286 2,146 6,488 2000 7,543 3,783 2,820 2,180 5,878 1,311 14,646 1,870 4,828 1,620 3,667 12,651 1,016 3,016 83,446 3,471 4,710 1,789 24,432 1,672 839 2,122 7,851 1,569 16,438 3,331 2,077 1,728 2,113 1,570 1,646 2,423 4,260 1,562 27,811 3,176 6,637 3,429 1,781 7,606 1,363 1,452 2,296 3,631 2,921 6,877 6,871 5,867 5,777 3,034 22,304 1,182 1,934 1,447 673 1,136 5,755 1,582 3,966 9,102 2,405 2,831 1,290 204,530 157,508 47,022 16,341 3,975 2,730 3,363 2,109 6,439 Rate per 1,0001 2002 13.0 14.7 12.8 17.2 11.3 12.8 11.3 15.0 12.8 22.2 14.1 14.5 11.2 14.9 17.5 11.9 12.3 18.1 15.5 13.0 8.5 12.4 14.8 13.7 13.9 20.8 12.8 12.5 11.2 9.7 14.1 15.2 12.8 15.0 15.1 16.5 20.0 10.6 9.9 11.9 13.2 11.3 12.8 15.1 14.6 13.6 14.1 12.6 28.7 17.2 15.7 11.9 17.0 12.6 12.1 11.9 13.5 13.7 14.6 14.5 23.5 15.3 13.1 15.4 15.5 15.3 13.3 15.9 11.3 14.6 16.7 12.5 2000 13.5 15.4 12.7 16.8 11.5 12.1 12.8 15.1 14.1 22.5 15.4 14.4 11.5 15.5 17.7 12.0 13.8 17.6 16.0 12.7 8.7 13.4 15.8 14.6 14.6 22.2 13.6 12.3 11.6 10.3 15.3 15.4 13.5 15.0 15.1 16.6 20.1 11.5 10.0 12.3 13.4 11.4 12.9 15.2 15.1 14.2 14.6 13.1 29.9 17.4 16.2 11.8 16.8 12.0 11.6 10.9 14.1 14.6 14.9 14.9 23.4 14.6 13.9 16.5 16.5 16.5 14.1 15.9 11.9 15.1 17.1 12.8 Number 2002 5,021 2,442 2,137 732 4,859 803 10,045 1,178 3,116 333 1,537 6,226 1,307 1,574 30,372 3,483 2,764 712 12,440 785 566 1,486 4,524 1,016 9,813 757 1,301 1,205 2,030 1,919 1,135 1,627 2,651 1,053 15,552 1,344 2,204 3,424 1,632 6,334 1,097 1,067 1,246 1,845 1,773 5,291 4,313 3,175 1,004 1,170 11,463 558 875 1,262 668 1,045 3,361 1,119 1,902 5,406 518 2,106 983 76,758 59,862 16,896 11,247 2,059 2,267 2,276 880 3,386 2000 4,968 2,428 2,064 714 4,800 835 10,568 1,175 3,187 346 1,466 5,835 1,229 1,477 28,319 3,395 2,761 635 12,492 709 573 1,442 4,335 1,074 9,579 751 1,335 1,239 1,952 2,014 1,040 1,640 2,548 1,120 15,093 1,255 2,093 3,309 1,553 6,037 1,019 1,083 1,314 1,781 1,749 5,316 4,265 3,168 904 1,057 10,320 540 808 1,285 595 1,023 3,244 1,116 1,798 5,317 530 2,208 953 75,957 59,352 16,605 11,069 2,011 2,291 2,256 883 3,219 Deaths Rate per 1,0001 2002 8.8 9.8 9.2 5.4 9.4 7.3 8.6 9.3 8.9 4.7 6.2 7.0 14.5 8.0 6.1 12.2 7.8 6.8 7.9 5.8 5.8 9.2 9.0 9.3 8.4 5.1 8.4 8.5 11.0 12.8 10.4 10.2 8.3 10.0 8.2 6.6 6.5 11.5 9.0 10.0 10.8 8.3 6.9 7.6 9.2 10.6 9.0 7.0 4.9 6.6 7.6 5.5 7.8 10.4 11.6 9.9 8.1 10.3 7.0 8.7 4.8 10.7 10.4 6.0 6.1 5.8 9.5 8.1 9.9 10.1 6.8 6.5 2000 8.9 9.9 9.3 5.5 9.4 7.7 9.2 9.5 9.3 4.8 6.2 6.7 14.0 7.6 6.0 11.8 8.1 6.2 8.2 5.4 5.9 9.1 8.7 10.0 8.5 5.0 8.8 8.8 10.7 13.2 9.7 10.4 8.1 10.8 8.2 6.5 6.3 11.1 8.7 9.8 10.0 8.5 7.4 7.4 9.0 11.0 9.1 7.1 4.7 6.1 7.5 5.4 7.0 10.7 10.3 9.9 7.9 10.3 6.7 8.7 5.2 11.4 10.3 6.1 6.2 5.8 9.5 8.1 10.0 10.1 7.2 6.4 2002 57 27 29 15 44 6 91 16 30 23 23 99 8 29 540 30 40 6 194 6 3 11 76 16 144 26 13 11 15 11 15 23 40 18 194 19 64 21 5 47 9 7 22 32 31 66 53 37 28 13 150 8 19 11 2 5 32 12 28 85 16 23 9 1,049 831 218 106 15 14 39 13 39 Number 2000 41 40 18 13 35 5 124 18 41 22 26 105 7 38 431 25 25 12 200 8 11 21 93 16 147 29 20 19 17 16 16 18 31 21 169 23 48 27 10 37 10 10 22 31 28 48 45 41 35 14 143 7 7 8 6 9 50 14 23 88 12 28 11 1,012 780 232 112 31 19 36 12 31 1990 76 34 20 28 57 3 147 22 45 17 21 103 6 33 605 28 45 14 253 14 8 25 103 17 184 42 20 17 18 15 14 14 46 19 241 30 55 24 11 61 18 7 17 34 32 67 72 72 23 27 117 5 15 14 8 8 30 18 23 88 11 28 14 2,031 1634 397 139 36 20 60 6 42 Infant deaths2 Rate per 1,000 live births3 2002 7.6 7.4 9.8 6.5 7.6 4.3 6.9 8.4 6.7 14.5 6.6 7.7 7.9 9.9 6.2 8.8 9.2 3.1 7.9 3.4 3.6 5.5 10.1 10.7 8.8 8.3 6.6 6.2 7.3 7.6 9.7 9.4 9.8 11.4 6.8 5.7 9.5 6.6 2.8 6.2 6.7 4.9 9.6 8.7 11.0 9.7 7.8 6.5 4.7 4.2 6.3 6.6 10.0 7.2 2.9 4.0 5.7 8.1 7.0 9.4 6.3 7.6 7.2 5.4 5.5 4.9 6.7 3.7 5.4 11.9 6.1 6.0 2000 5.4 10.6 6.4 6.0 6.0 3.8 8.5 9.6 8.5 13.6 7.1 8.3 6.9 12.6 5.2 7.2 5.3 6.7 8.2 4.8 13.1 9.9 11.8 10.2 8.9 8.7 9.6 11.0 8.0 10.2 9.7 7.4 7.3 13.4 6.1 7.2 7.2 7.9 5.6 4.9 7.3 6.9 9.6 8.5 9.6 7.0 6.5 7.0 6.1 4.6 6.4 5.9 3.6 5.5 8.9 7.9 8.7 8.8 5.8 9.7 5.0 9.9 8.5 4.9 5.0 4.9 6.9 7.8 7.0 10.7 5.7 4.8 1990 10.5 9.7 7.3 12.3 8.4 2.6 8.8 12.2 10.7 10.5 6.6 6.7 6.5 10.1 8.2 7.8 9.3 8.3 11.2 8.2 7.0 10.4 13.3 12.0 11.0 12.2 9.2 9.7 9.2 7.9 9.8 7.2 9.8 11.1 8.9 10.6 9.4 7.1 4.3 8.3 12.2 4.1 7.7 9.4 11.1 10.3 9.9 10.8 5.9 9.3 8.6 4.7 7.0 9.2 11.3 5.3 5.7 9.9 7.0 9.9 5.9 9.9 10.3 7.9 8.0 7.7 8.7 8.8 6.8 17.2 3.3 6.7



Hartford-West Hartford-East Hartford, CT . Hattiesburg, MS. . . . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . . Holland-Grand Haven, MI . . . . . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . . . . . Hot Springs, AR. . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA Houston-Sugar Land-Baytown, TX . Huntington-Ashland, WV-KY-OH . . . Huntsville, AL . . . . . . . . . . . . . . . Idaho Falls, ID. . . . . . . . . . . . . . . Indianapolis, IN . Iowa City, IA . . . Ithaca, NY . . . . Jackson, MI . . . Jackson, MS . . . Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Jacksonville, FL. . . Jacksonville, NC . . Janesville, WI . . . . Jefferson City, MO . Johnson City, TN . . Johnstown, PA . . .



Jonesboro, AR . . . . . . . . . . . . Joplin, MO . . . . . . . . . . . . . . . Kalamazoo-Portage, MI . . . . . . Kankakee-Bradley, IL . . . . . . . . Kansas City, MO-KS. . . . . . . . . Kennewick-Richland-Pasco, WA . Killeen-Temple-Fort Hood, TX . Kingsport-Bristol-Bristol, TN-VA Kingston, NY. . . . . . . . . . . . . Knoxville, TN . . . . . . . . . . . . Kokomo, IN . . . . . . . . . . . . . La Crosse, WI-MN . . . . . . . . . Lafayette, IN . . . . . . . . . Lafayette, LA . . . . . . . . Lake Charles, LA . . . . . . Lakeland, FL. . . . . . . . . Lancaster, PA . . . . . . . . Lansing-East Lansing, MI Laredo, TX . . . . . . . . . . Las Cruces, NM . . . . . . Las Vegas-Paradise, NV . Lawrence, KS . . . . . . . . Lawton, OK . . . . . . . . . Lebanon, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Lewiston, ID-WA . . . . . . . . . . . Lewiston-Auburn, ME . . . . . . . . Lexington-Fayette, KY . . . . . . . Lima, OH . . . . . . . . . . . . . . . . Lincoln, NE. . . . . . . . . . . . . . . Little Rock-North Little Rock, AR.



Logan, UT-ID . . . . . . . . . . . . . . . . . . . . Longview, TX . . . . . . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Los Angeles-Long Beach-Glendale, CA . Santa Ana-Anaheim-Irvine, CA . . . . . . . Louisville, KY-IN Lubbock, TX . . . Lynchburg, VA. . Macon, GA . . . . Madera, CA . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



146



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-5. Metropolitan Areas — Births, Deaths, Infant Deaths—Con.

Births Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Number 2002 Manchester-Nashua, NH . . . . Mansfield, OH . . . . . . . . . . . McAllen-Edinburg-Mission, TX Medford, OR . . . . . . . . . . . . Memphis, TN-MS-AR . . . . . . Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,043 1,534 15,675 2,112 19,073 4,027 68,146 22,134 32,125 13,887 1,363 1,851 21,060 44,542 1,117 5,830 7,932 2,561 1,777 5,057 1,233 1,621 1,390 1,302 2,313 2,531 1,565 3,600 19,393 10,168 18,553 259,620 30,011 36,204 29,495 163,910 2,034 3,577 2,912 1,021 2,279 9,246 16,956 2,440 12,615 24,174 1,846 1,489 11,603 4,807 1,997 1,856 2,164 5,418 4,837 74,756 15,297 50,418 9,041 59,408 1,456 25,044 1,234 1,539 5,475 28,024 3,488 8,326 1,920 19,576 10,773 2,061 2000 5,016 1,598 15,361 2,051 19,784 3,875 67,725 22,093 32,306 13,326 1,442 1,844 21,574 44,288 1,142 6,359 7,249 2,700 1,859 5,449 1,133 1,642 1,396 1,435 2,393 2,570 1,496 3,067 19,521 10,139 19,411 264,414 29,558 37,295 29,966 167,595 2,235 2,455 2,902 1,047 2,147 8,877 16,266 2,549 11,964 23,643 1,926 1,607 11,768 5,015 2,012 1,858 2,257 5,346 4,913 76,079 15,437 51,569 9,073 57,119 1,554 26,235 1,205 1,494 5,478 28,467 3,491 8,364 1,755 19,258 10,050 1,945 Rate per 1,0001 2002 12.9 11.9 25.6 11.3 15.5 17.9 13.1 13.0 13.9 11.7 12.4 15.8 13.9 14.6 11.4 14.6 16.5 15.1 11.9 14.4 11.0 12.9 13.0 10.9 13.4 12.3 12.0 13.1 14.3 12.2 14.1 14.0 13.4 13.0 13.8 14.4 12.5 13.6 10.7 10.0 18.6 20.1 15.1 11.2 16.1 13.8 11.6 13.5 14.9 9.7 13.1 11.3 14.1 12.8 13.2 13.0 12.6 13.0 13.6 17.0 13.7 10.4 9.3 18.5 10.9 13.9 10.3 12.9 10.7 12.1 26.9 14.0 2000 13.2 12.4 27.0 11.3 16.4 18.4 13.5 13.6 14.3 11.8 13.1 15.9 14.4 14.9 11.9 15.9 16.2 15.9 12.7 15.7 10.2 13.3 13.6 12.1 14.1 13.1 12.0 12.2 14.9 12.3 14.7 14.4 13.6 13.5 14.3 14.8 13.8 9.5 11.2 10.2 17.7 20.1 14.8 12.3 15.6 14.4 12.3 14.6 15.6 10.5 13.6 11.3 15.0 13.0 13.4 13.4 13.0 13.4 13.9 17.6 14.5 10.8 8.9 18.0 11.2 14.8 10.9 13.5 10.5 12.2 26.7 13.7 Number 2002 2,781 1,226 3,038 1,946 10,827 1,451 48,064 16,259 18,176 13,629 1,015 883 13,302 19,258 660 3,934 3,736 1,566 1,214 3,183 1,008 1,309 951 1,183 1,573 1,921 1,269 2,396 11,039 7,843 12,515 145,918 19,954 22,931 17,269 85,764 1,572 2,386 3,697 1,301 1,053 2,619 9,834 1,624 6,061 13,629 1,282 1,090 4,846 5,507 1,492 1,852 1,392 3,828 3,759 54,477 10,965 38,116 5,396 25,363 1,162 28,890 1,590 655 4,476 14,976 3,903 4,875 2,051 15,503 1,772 1,505 2000 2,788 1,211 2,729 1,878 10,904 1,320 47,632 16,023 18,540 13,069 1,069 894 13,251 18,856 642 3,995 3,412 1,671 1,172 3,003 1,032 1,248 940 1,188 1,623 1,941 1,300 2,363 10,544 7,973 12,137 147,476 20,254 22,431 17,723 87,068 1,604 1,957 3,389 1,361 1,015 2,494 9,719 1,550 5,757 13,032 1,196 1,119 4,802 5,282 1,433 1,863 1,392 3,725 3,611 55,252 10,544 39,209 5,499 24,272 1,134 28,229 1,560 606 4,295 14,349 3,962 4,689 1,914 15,137 1,607 1,387 Deaths Rate per 1,0001 2002 7.1 9.6 5.0 10.4 8.8 6.5 9.2 9.5 7.9 11.5 9.2 7.5 8.8 6.3 6.7 9.8 7.8 9.2 8.1 9.1 9.0 10.4 8.9 9.9 9.1 9.3 9.8 8.7 8.2 9.4 9.5 7.8 8.9 8.2 8.1 7.5 9.7 9.1 13.6 12.8 8.6 5.7 8.8 7.5 7.7 7.8 8.1 9.9 6.2 11.1 9.8 11.3 9.1 9.0 10.3 9.5 9.0 9.9 8.1 7.3 10.9 12.0 11.9 7.9 8.9 7.4 11.6 7.6 11.4 9.6 4.4 10.2 2000 7.3 9.4 4.8 10.4 9.0 6.3 9.5 9.9 8.2 11.6 9.7 7.7 8.8 6.4 6.7 10.0 7.6 9.8 8.0 8.7 9.3 10.1 9.1 10.0 9.5 9.9 10.5 9.4 8.0 9.7 9.2 8.0 9.3 8.1 8.4 7.7 9.9 7.6 13.1 13.3 8.4 5.6 8.9 7.5 7.5 7.9 7.6 10.2 6.4 11.1 9.7 11.3 9.2 9.0 9.8 9.7 8.9 10.2 8.5 7.5 10.6 11.6 11.6 7.3 8.8 7.4 12.4 7.5 11.4 9.6 4.3 9.8 2002 22 16 67 18 255 28 444 133 192 119 12 11 178 214 9 60 63 26 16 52 8 7 6 19 14 27 6 13 165 65 185 1390 116 182 165 927 18 23 28 6 19 40 125 16 97 171 12 12 58 43 23 15 16 46 41 604 121 415 68 379 15 181 7 9 24 137 30 40 9 126 64 17 Number 2000 27 10 77 6 244 19 410 129 186 95 10 12 180 221 7 68 51 35 9 36 6 9 11 21 18 23 6 17 136 65 133 1573 155 190 194 1034 19 18 19 8 22 49 158 10 91 131 16 13 48 26 10 9 17 54 45 573 100 390 83 383 13 215 3 9 29 134 26 44 13 109 51 8 1990 43 25 58 18 284 33 646 174 337 135 12 18 222 332 14 72 64 33 9 68 18 15 10 17 24 24 10 19 147 98 250 2804 219 320 306 1959 41 37 26 10 17 60 169 16 85 155 10 12 99 32 22 24 11 51 61 958 159 703 96 380 18 289 12 11 41 194 42 64 8 157 47 17 Infant deaths2 Rate per 1,000 live births3 2002 4.4 10.4 4.3 8.5 13.4 7.0 6.5 6.0 6.0 8.6 8.8 5.9 8.5 4.8 8.1 10.3 7.9 10.2 9.0 10.3 6.5 4.3 4.3 14.6 6.1 10.7 3.8 3.6 8.5 6.4 10.0 5.4 3.9 5.0 5.6 5.7 8.8 6.4 9.6 5.9 8.3 4.3 7.4 6.6 7.7 7.1 6.5 8.1 5.0 8.9 11.5 8.1 7.4 8.5 8.5 8.1 7.9 8.2 7.5 6.4 10.3 7.2 5.7 5.8 4.4 4.9 8.6 4.8 4.7 6.4 5.9 8.2 2000 5.4 6.3 5.0 2.9 12.3 4.9 6.1 5.8 5.8 7.1 6.9 6.5 8.3 5.0 6.1 10.7 7.0 13.0 4.8 6.6 5.3 5.5 7.9 14.6 7.5 8.9 4.0 5.5 7.0 6.4 6.9 5.9 5.2 5.1 6.5 6.2 8.5 7.3 6.5 7.6 10.2 5.5 9.7 3.9 7.6 5.5 8.3 8.1 4.1 5.2 5.0 4.8 7.5 10.1 9.2 7.5 6.5 7.6 9.1 6.7 8.4 8.2 2.5 6.0 5.3 4.7 7.4 5.3 7.4 5.7 5.1 4.1 1990 7.4 13.3 5.4 8.6 14.1 7.6 9.8 9.3 9.8 10.4 7.7 8.4 9.5 7.7 12.8 10.9 8.1 12.1 4.8 12.3 13.9 11.1 8.1 10.9 8.7 10.3 6.7 7.6 8.7 7.9 11.4 9.9 7.5 8.1 9.7 10.7 15.6 9.1 9.4 7.3 7.5 8.5 11.3 6.8 7.2 7.6 5.2 7.9 7.8 5.6 10.7 11.1 5.3 8.7 11.6 10.6 8.6 11.3 10.2 8.9 10.4 9.0 6.6 8.7 6.2 7.9 11.1 6.9 6.5 6.8 6.9 9.6



Miami-Fort Lauderdale-Miami Beach, FL . . . . . . . . . Fort Lauderdale-Pompano Beach-Deerfield Beach, F Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . West Palm Beach-Boca Raton-Boynton Beach, FL . . Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . Minneapolis-St. Paul-Bloomington, MN-WI Missoula, MT . . . . . . . . . . . . . . . . . . . Mobile, AL . . . . . . . . . . . . . . . . . . . . . Modesto, CA. . . . . . . . . . . . . . . . . . . . Monroe, LA . . . . . . . . . . . . . . . . . . . . Monroe, MI . . . . . . . . . . . . . Montgomery, AL . . . . . . . . . Morgantown, WV . . . . . . . . . Morristown, TN . . . . . . . . . . Mount Vernon-Anacortes, WA Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Muskegon-Norton Shores, MI. . . . . . . . . . . . Myrtle Beach-Conway-North Myrtle Beach, SC Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . Naples-Marco Island, FL . . . . . . . . . . . . . . . Nashville-Davidson—Murfreesboro, TN . . . . . New Haven-Milford, CT. . . . . . . . . . . . . . . .



New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA Edison, NJ. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nassau-Suffolk, NY . . . . . . . . . . . . . . . . . . . . . . . . . Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . Niles-Benton Harbor, MI . Norwich-New London, CT Ocala, FL . . . . . . . . . . . Ocean City, NJ . . . . . . . Odessa, TX . . . . . . . . . Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Oklahoma City, OK . . . . . . . Olympia, WA. . . . . . . . . . . . Omaha-Council Bluffs, NE-IA . Orlando-Kissimee, FL . . . . . . Oshkosh-Neenah, WI . . . . . . Owensboro, KY . . . . . . . . . .



Oxnard-Thousand Oaks-Ventura, CA. Palm Bay-Melbourne-Titusville, FL . . Panama City-Lynn Haven, FL . . . . . Parkersburg-Marietta-Vienna, WV-OH Pascagoula, MS . . . . . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Peoria, IL . . . . . . . . . . . . . . . . . . Philadelphia-Camden-Wilmington, Camden, NJ . . . . . . . . . . . . . . Philadelphia, PA . . . . . . . . . . . . Wilmington, DE-MD-NJ . . . . . . . Phoenix-Mesa-Scottsdale, AZ . . . .



........... PA-NJ-DE-MD . ........... ........... ........... ........... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Pine Bluff, AR . . . . . . . . . . . . . . . . . . Pittsburgh, PA . . . . . . . . . . . . . . . . . . Pittsfield, MA. . . . . . . . . . . . . . . . . . . Pocatello, ID . . . . . . . . . . . . . . . . . . . Portland-South Portland-Biddeford, ME . Portland-Vancouver-Beaverton, OR-WA .



Port St. Lucie-Fort Pierce, FL. . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA. Provo-Orem, UT . . . . . . . . . . . . . . . . . . Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



147



Table B-5. Metropolitan Areas — Births, Deaths, Infant Deaths—Con.

Births Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Number 2002 Punta Gorda, FL . Racine, WI . . . . . Raleigh-Cary, NC. Rapid City, SD . . Reading, PA . . . . Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 994 2,543 13,650 1,792 4,725 1,963 5,361 14,821 56,393 3,219 2,536 12,284 4,603 1,947 1,357 26,913 2,657 2,341 1,979 1,510 35,590 5,199 6,900 1,415 20,031 1,595 29,414 43,960 922 56,313 35,119 21,194 28,041 2,368 5,699 3,529 1,622 5,678 6,231 4,563 5,338 40,254 30,231 10,023 1,381 1,530 5,590 2,311 3,061 4,281 3,434 5,562 2,587 7,694 4,930 1,826 1,259 10,167 1,575 7,694 4,065 29,106 2,132 1,711 8,480 3,166 4,599 12,491 13,064 2,521 2,748 2000 1,034 2,651 12,995 1,726 4,711 1,831 5,014 14,884 53,568 3,392 2,399 13,037 4,610 2,158 1,329 25,169 2,831 2,324 1,814 1,567 36,660 5,281 6,717 1,443 19,766 1,625 28,449 44,337 951 57,297 35,385 21,912 28,562 2,436 5,685 3,675 1,640 5,652 5,957 4,467 5,475 41,226 31,049 10,177 1,439 1,550 5,788 2,324 2,835 4,556 3,344 5,667 2,796 7,857 5,075 1,928 1,278 9,606 1,742 8,272 4,123 29,208 2,172 1,813 9,067 3,089 4,705 12,516 13,151 2,746 2,653 Rate per 1,0001 2002 6.6 13.3 15.9 15.5 12.4 11.4 14.7 13.2 16.1 11.1 14.9 11.8 14.1 13.5 14.7 14.0 12.7 13.4 19.9 12.3 13.0 14.5 16.8 12.7 20.1 15.2 16.5 15.2 11.7 13.5 14.3 12.4 16.2 9.4 14.2 13.9 12.1 12.2 10.0 15.1 9.6 12.9 12.6 13.7 12.2 13.5 14.8 16.2 15.7 13.5 13.2 13.0 12.7 11.2 13.0 12.7 9.1 16.6 15.0 11.8 12.5 11.7 12.6 13.1 12.9 14.0 12.9 14.2 14.9 13.0 15.2 2000 7.3 14.0 16.3 15.3 12.6 11.2 14.6 13.6 16.5 11.8 14.7 12.6 14.4 15.1 14.7 14.0 13.5 13.9 20.1 12.8 13.6 15.2 16.7 13.2 20.4 15.4 16.6 15.8 12.0 13.9 14.8 12.7 16.5 9.9 14.2 14.4 12.7 12.3 10.1 15.2 9.8 13.5 13.3 14.5 12.8 14.0 15.4 16.2 15.2 14.4 13.2 13.6 13.9 11.6 13.8 13.3 9.4 17.0 16.6 12.7 12.9 12.2 12.7 14.0 13.8 13.8 13.4 14.8 15.3 14.3 15.2 Number 2002 2,287 1,489 4,768 881 3,642 1,931 2,767 9,707 24,638 3,234 1,148 8,988 2,848 1,526 1,013 14,091 2,030 1,117 739 1,292 26,243 3,143 2,403 1,055 5,568 1,057 13,137 19,481 828 29,520 16,667 12,853 8,941 2,042 2,940 1,626 794 3,875 8,079 2,667 7,442 21,042 15,600 5,442 1,095 1,221 3,700 1,314 1,404 2,833 2,523 3,705 1,922 6,534 3,627 1,612 852 4,604 924 5,779 2,410 28,827 2,036 1,404 6,202 2,238 2,819 7,745 8,005 1,809 1,709 2000 2,206 1,614 4,662 828 3,624 1,651 2,557 9,731 23,333 3,141 1,065 8,981 2,790 1,535 1,019 13,145 2,031 1,126 670 1,316 25,357 2,917 2,364 1,100 5,342 1,036 12,721 19,741 811 29,642 16,565 13,077 9,130 1,987 2,932 1,698 764 3,843 8,286 2,642 7,702 20,570 15,393 5,177 1,084 1,306 3,707 1,300 1,412 2,873 2,602 3,670 1,921 6,722 3,483 1,628 864 4,221 948 5,762 2,375 28,577 2,074 1,373 6,366 2,295 3,091 7,364 7,832 1,784 1,703 Deaths Rate per 1,0001 2002 15.3 7.8 5.5 7.6 9.5 11.2 7.6 8.6 7.0 11.2 6.8 8.6 8.7 10.6 10.9 7.3 9.7 6.4 7.4 10.5 9.6 8.7 5.8 9.5 5.6 10.0 7.4 6.7 10.5 7.1 6.8 7.5 5.2 8.1 7.3 6.4 5.9 8.3 13.0 8.8 13.4 6.7 6.5 7.4 9.7 10.7 9.8 9.2 7.2 8.9 9.7 8.7 9.4 9.5 9.6 11.2 6.1 7.5 8.8 8.9 7.4 11.6 12.0 10.7 9.4 9.9 7.9 8.8 9.1 9.3 9.5 2000 15.6 8.5 5.8 7.3 9.7 10.1 7.5 8.9 7.2 10.9 6.5 8.7 8.7 10.7 11.3 7.3 9.7 6.7 7.4 10.8 9.4 8.4 5.9 10.1 5.5 9.8 7.4 7.0 10.2 7.2 6.9 7.6 5.3 8.1 7.3 6.6 5.9 8.4 14.0 9.0 13.7 6.8 6.6 7.4 9.6 11.8 9.9 9.1 7.5 9.1 10.3 8.8 9.5 9.9 9.5 11.2 6.4 7.5 9.1 8.9 7.4 11.9 12.1 10.6 9.7 10.2 8.8 8.7 9.1 9.3 9.7 2002 8 28 78 13 43 15 21 139 399 33 22 83 44 18 11 158 24 12 13 8 323 28 45 10 122 11 207 197 6 235 146 89 101 7 26 13 7 29 36 47 33 222 145 77 9 8 71 15 15 30 32 43 22 53 32 10 10 74 18 64 53 225 13 10 78 19 33 90 116 35 34 Number 2000 8 17 97 17 31 11 34 124 368 30 15 109 43 27 11 146 28 15 9 9 287 33 39 19 109 18 145 263 8 268 168 100 128 11 33 16 13 27 46 35 36 201 138 63 14 8 76 10 13 33 22 27 21 31 39 9 3 66 15 67 42 209 16 12 63 29 39 76 110 40 25 1990 9 26 86 16 44 20 39 176 550 42 20 156 41 22 21 225 46 19 6 13 412 36 61 17 119 9 181 367 10 449 292 157 159 26 45 20 11 29 65 57 41 303 205 98 9 12 68 31 26 49 34 37 22 69 31 20 15 86 23 90 52 296 26 18 96 28 56 93 105 28 18 Infant deaths2 Rate per 1,000 live births3 2002 8.0 11.0 5.7 7.3 9.1 7.6 3.9 9.4 7.1 10.3 8.7 6.8 9.6 9.2 8.1 5.9 9.0 5.1 6.6 5.3 9.1 5.4 6.5 7.1 6.1 6.9 7.0 4.5 6.5 4.2 4.2 4.2 3.6 3.0 4.6 3.7 4.3 5.1 5.8 10.3 6.2 5.5 4.8 7.7 6.5 5.2 12.7 6.5 4.9 7.0 9.3 7.7 8.5 6.9 6.5 5.5 7.9 7.3 11.4 8.3 13.0 7.7 6.1 5.8 9.2 6.0 7.2 7.2 8.9 13.9 12.4 2000 7.7 6.4 7.5 9.8 6.6 6.0 6.8 8.3 6.9 8.8 6.3 8.4 9.3 12.5 8.3 5.8 9.9 6.5 5.0 5.7 7.8 6.2 5.8 13.2 5.5 11.1 5.1 5.9 8.4 4.7 4.7 4.6 4.5 4.5 5.8 4.4 7.9 4.8 7.7 7.8 6.6 4.9 4.4 6.2 9.7 5.2 13.1 4.3 4.6 7.2 6.6 4.8 7.5 3.9 7.7 4.7 2.3 6.9 8.6 8.1 10.2 7.2 7.4 6.6 6.9 9.4 8.3 6.1 8.4 14.6 9.4 1990 8.5 9.6 9.7 7.8 8.9 8.7 8.6 11.3 9.4 11.6 8.3 9.5 8.9 9.8 15.7 8.5 12.4 8.5 6.4 8.0 9.7 7.9 7.7 11.9 7.6 5.4 7.1 7.2 9.3 7.4 7.9 6.5 5.5 8.6 6.7 4.6 7.6 4.7 11.4 11.9 6.0 7.2 6.6 9.3 6.4 8.3 10.9 14.2 10.5 10.7 9.9 6.6 7.7 7.0 7.5 9.4 9.8 8.7 12.1 8.5 13.1 10.2 11.4 9.8 9.0 9.0 11.1 8.1 8.5 10.8 7.7



Reno-Sparks, NV. . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . . . . . . Riverside-San Bernardino-Ontario, CA . Roanoke, VA. . . . . . . . . . . . . . . . . . Rochester, MN . . . . . . . . . . . . . . . . Rochester, NY. . . . . . . . . . . . . . . . .



Rockford, IL . . . . . . . . . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . . . Sacramento—Arden-Arcade—Roseville, CA . Saginaw-Saginaw Township North, MI . . . . . St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . St. George, UT . . . St. Joseph, MO-KS St. Louis, MO-IL5 . . Salem, OR . . . . . . Salinas, CA . . . . . Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Salt Lake City, UT . . . . . . . . . . . . . San Angelo, TX . . . . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA Sandusky, OH . . . . . . . . . . . . . . . .



San Francisco-Oakland-Fremont, CA . . . Oakland-Fremont-Hayward, CA . . . . . . . San Francisco-San Mateo-Redwood City, San Jose-Sunnyvale-Santa Clara, CA . . . . San Luis Obispo-Paso Robles, CA . . . . . . Santa Barbara-Santa Maria, CA . . . . . . . . Santa Cruz-Watsonville, CA. . . Santa Fe, NM . . . . . . . . . . . . Santa Rosa-Petaluma, CA. . . . Sarasota-Bradenton-Venice, FL Savannah, GA . . . . . . . . . . . Scranton—Wilkes-Barre, PA . . Seattle-Tacoma-Bellevue, WA Seattle-Bellevue-Everett, WA Tacoma, WA . . . . . . . . . . . Sheboygan, WI . . . . . . . . . . . Sherman-Denison, TX . . . . . . Shreveport-Bossier City, LA . . . Sioux City, IA-NE-SD . . Sioux Falls, SD . . . . . . South Bend-Mishawaka, Spartanburg, SC . . . . . Spokane, WA . . . . . . . Springfield, IL . . . . . . . Springfield, MA . . Springfield, MO . . Springfield, OH . . State College, PA Stockton, CA . . . Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..... ..... IN-MI . ..... ..... ..... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



... ... CA. ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Syracuse, NY . . . . . . . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Terre Haute, IN . . . . . . . . . . . . . . . Texarkana, TX-Texarkana, AR . . . . . Toledo, OH . . . . . . . . . . . . . . . . . . Topeka, KS. . . . . . Trenton-Ewing, NJ . Tucson, AZ . . . . . . Tulsa, OK. . . . . . . Tuscaloosa, AL . . . Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



148



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Table B-5. Metropolitan Areas — Births, Deaths, Infant Deaths—Con.

Births Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Number 2002 Utica-Rome, NY . . . . . . . . . . Valdosta, GA. . . . . . . . . . . . . Vallejo-Fairfield, CA . . . . . . . . Vero Beach, FL . . . . . . . . . . . Victoria, TX. . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,171 1,799 5,864 1,056 1,758 2,087 23,182 7,416 3,289 1,608 75,328 16,256 59,072 1,984 1,504 1,288 1,354 1,488 9,104 2,086 1,270 3,339 1,385 5,892 10,066 4,042 4,578 6,161 2,392 3,095 2000 3,163 1,811 5,902 1,129 1,754 2,032 23,533 7,261 3,288 1,596 73,578 16,070 57,508 1,936 1,521 1,410 1,437 1,579 9,384 2,068 1,342 3,366 1,404 6,122 10,012 4,253 4,526 7,057 2,225 3,030 Rate per 1,0001 2002 10.6 14.9 14.3 9.0 15.6 14.1 14.4 19.5 15.1 13.8 15.1 14.6 15.2 12.2 11.9 10.0 13.5 9.9 15.7 14.0 10.7 11.6 12.8 13.6 13.1 18.0 11.7 10.3 16.5 18.6 2000 10.5 15.1 15.0 10.0 15.7 13.9 14.9 19.7 15.4 14.4 15.3 15.0 15.4 11.8 12.1 10.7 14.5 10.3 16.4 13.6 11.2 12.3 13.6 14.5 13.3 19.1 11.9 11.7 16.0 18.9 Number 2002 3,300 960 2,650 1,571 985 1,473 12,299 2,711 1,958 843 30,421 6,541 23,880 1,448 992 1,747 851 1,856 5,009 1,509 1,208 2,543 926 3,928 6,908 1,758 3,314 6,929 1,240 1,159 2000 3,303 1,022 2,590 1,497 900 1,531 11,895 2,646 1,990 761 29,838 6,524 23,314 1,507 923 1,749 814 1,912 4,887 1,444 1,267 2,436 835 3,927 6,715 1,694 3,353 7,104 1,267 968 Deaths Rate per 1,0001 2002 11.1 7.9 6.5 13.3 8.7 10.0 7.7 7.1 9.0 7.2 6.1 5.9 6.1 8.9 7.8 13.5 8.5 12.3 8.6 10.1 10.2 8.8 8.6 9.1 9.0 7.8 8.5 11.6 8.6 7.0 2000 11.0 8.5 6.6 13.3 8.1 10.5 7.5 7.2 9.3 6.9 6.2 6.1 6.3 9.2 7.3 13.2 8.2 12.5 8.6 9.5 10.6 8.9 8.1 9.3 8.9 7.6 8.8 11.8 9.1 6.0 2002 29 22 47 6 14 16 239 42 28 13 509 89 420 12 9 6 5 16 87 20 10 16 7 55 56 21 21 62 16 8 Number 2000 32 20 27 10 10 27 210 49 25 14 466 55 411 15 9 10 4 13 64 25 8 19 8 72 50 31 26 56 17 16 1990 33 28 57 9 20 20 384 57 22 18 764 111 653 18 16 12 13 16 103 18 14 20 10 61 86 45 32 88 25 20 Infant deaths2 Rate per 1,000 live births3 2002 9.1 12.2 8.0 5.7 8.0 7.7 10.3 5.7 8.5 8.1 6.8 5.5 7.1 6.0 6.0 4.7 3.7 10.8 9.6 9.6 7.9 4.8 5.1 9.3 5.6 5.2 4.6 10.1 6.7 2.6 2000 10.1 11.0 4.6 8.9 5.7 13.3 8.9 6.7 7.6 8.8 6.3 3.4 7.1 7.7 5.9 7.1 2.8 8.2 6.8 12.1 6.0 5.6 5.7 11.8 5.0 7.3 5.7 7.9 7.6 5.3 1990 7.2 16.4 8.5 8.1 12.0 8.6 14.1 7.9 7.2 11.9 10.6 7.2 11.4 8.6 9.5 7.9 9.0 8.3 11.3 8.1 8.2 6.8 7.4 11.4 7.6 11.2 6.5 10.7 9.5 7.4



Virginia Beach-Norfolk-Newport News, VA-NC. . . . . Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV Bethesda-Gaithersburg-Frederick, MD . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV . Waterloo-Cedar Falls, IA . . . . Wausau, WI . . . . . . . . . . . . Weirton-Steubenville, WV-OH. Wenatchee, WA . . . . . . . . . Wheeling, WV-OH . . . . . . . . Wichita, KS. . . . . . . . . . . . . Wichita Falls, TX . . Williamsport, PA . . Wilmington, NC . . . Winchester, VA-WV Winston-Salem, NC Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Yakima, WA . . . . . . . . . . . . . York-Hanover, PA . . . . . . . . . Youngstown-Warren-Boardman, Yuba City, CA . . . . . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . .

1 2 3



...... ...... OH-PA . ...... ......



Per resident population estimated as of July 1 of the year indicated. Deaths of infants under 1 year. Infant deaths per 1,000 live registered births. 4 The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield city is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 5 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA. Note: Covers metropolitan statistical areas and metropolitan divisions as defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . Survey, Census, or Data Collection Method: For information about these data collections and surveys, see the following organization and Web sites: National Vital Statistics System; and . Also see Appendix B, Limitations of the Data and Methodology. Sources: Births—U.S. National Center for Health Statistics, Vital Statistics of the United States, Vol. I, Natality, annual, and unpublished data. Health Statistics, Vital Statistics of the United States, Vol. II, Mortality, and unpublished data. Deaths and infant deaths—U.S. National Center for



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149



Table B-6. Metropolitan Areas — Physicians, Community Hospitals, Medicare,



Social Security, and SSI

Physicians, 20031 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Rate per 100,000 Numper- Number ber sons2 Abilene, TX . . . . . . . . . . . . Akron, OH . . . . . . . . . . . . . Albany, GA. . . . . . . . . . . . . Albany-Schenectady-Troy, NY Albuquerque, NM . . . . . . . . Alexandria, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313 1,899 340 2,969 2,950 451 2,007 340 685 173 991 200 354 3,435 220 404 1,489 406 11,948 644 192 1,039 3,206 1,121 198 271 210 353 385 308 261 267 293 216 292 153 206 1,023 196 191 389 236 259 244 161 204 233 157 475 330 368 227 184 157 185 280 316 375 272 390 351 192 222 213 234 546 727 565 249 206 359 255 258 402 152 263 351 181 649 228 279 291 264 191 294 324 463 247 1,057 290 275 334 348 196 312 5 7 3 11 11 5 10 5 3 2 4 2 1 5 3 4 5 2 41 4 1 9 16 10 23 4 2 13 3 2 10 1 2 3 2 20 2 4 2 2 6 54 24 14 10 6 3 3 1 6 5 1 14 1 2 5 5 1 1 4 4 6 7 12 2 8 1 96 79 9 8 Community hospitals, 20033 Medicare program enrollment, 20034 Social security program beneficiaries, December 2004 Supplemental security income program recipients, 2004



Beds Rate per 100,000 perNumber sons2 614 1,825 635 2,567 1,449 705 2,206 469 875 292 734 231 420 1,515 447 407 1,213 617 9,061 806 273 1,830 2,448 1,498 6,889 466 306 2,079 517 335 1,412 226 220 670 665 4,752 475 304 836 395 1,062 11,120 6,029 2,925 1,566 600 458 777 255 1,707 975 278 5,182 319 571 1,445 1,735 131 205 843 676 1,287 1,586 3,300 687 1,971 198 24,226 20,569 2,595 1,062 388 260 392 305 189 482 287 368 375 364 216 176 244 451 399 193 317 359 197 305 229 359 178 210 262 315 134 288 372 306 369 128 170 468 265 442 490 202 473 252 208 251 332 199 212 147 165 723 106 190 269 287 447 233 281 352 352 237 300 347 315 419 277 229 382 Rate per 100,000 persons2 15,168 14,841 12,816 15,657 12,782 16,149 16,793 19,634 12,772 11,239 7,176 17,408 16,511 9,691 19,395 11,927 19,970 10,885 8,786 14,973 9,657 13,173 7,890 11,029 13,110 16,964 25,149 11,178 16,539 16,993 15,193 13,447 14,630 15,176 18,465 15,248 15,009 14,105 12,442 10,905 11,102 13,960 13,789 14,037 15,082 12,407 11,049 13,832 12,211 13,876 10,516 15,690 17,889 16,494 11,781 17,316 21,546 19,154 14,551 14,480 11,874 19,075 12,317 11,419 13,926 Rate per Percent 100,000 change, per2000– sons2 2004 17,455 16,746 15,402 17,793 14,939 18,211 19,306 20,005 14,376 12,291 8,959 20,391 20,772 11,303 22,342 14,138 22,877 12,985 10,618 17,108 12,657 16,205 9,343 13,187 14,884 19,592 27,632 13,599 19,615 20,469 18,061 15,761 18,025 17,094 21,311 18,192 16,682 16,264 14,831 12,301 13,182 15,211 14,847 15,073 16,602 14,813 9,944 16,368 13,921 15,234 12,235 19,475 20,268 19,071 13,790 18,850 24,734 18,872 16,743 16,801 13,035 22,318 14,852 13,529 15,680 18,661 14,937 13,128 12,936 16,969 11,767 1.9 0.2 1.4 1.6 7.8 1.5 3.6 3.8 2.9 3.2 13.8 1.1 5.8 11.1 3.4 4.3 5.1 7.4 8.3 5.0 6.5 5.9 11.7 6.4 1.7 5.1 2.3 5.8 3.3 3.5 2.4 9.9 12.3 4.0 1.1 3.0 2.9 4.8 5.5 4.3 11.4 0.0 –0.7 –0.6 –0.4 7.1 –1.3 5.3 8.2 –0.4 6.0 5.9 –0.7 4.6 5.4 1.3 5.6 5.6 0.8 4.0 3.0 3.0 7.1 7.1 5.8 4.3 6.2 1.7 1.2 2.5 6.9 Rate per 100,000 persons2 2,294 1,832 4,128 2,028 2,166 4,771 1,822 3,613 1,592 662 1,705 2,080 2,013 1,140 4,073 893 2,231 2,292 1,529 1,924 2,276 2,752 1,188 4,147 2,050 3,082 1,475 2,738 2,945 2,225 2,764 1,777 1,063 1,470 2,653 3,037 1,288 1,816 1,266 882 1,405 2,251 2,854 1,682 2,754 724 890 3,523 1,653 1,159 4,737 2,601 2,657 1,738 1,662 1,761 1,378 1,197 1,590 1,201 1,264 3,877 2,146 1,513 1,423 2,379 1,301 2,043 2,181 1,876 906



Percent change, 2000– Total 2003 23,997 104,034 20,735 131,617 97,991 23,615 129,191 25,027 29,830 9,020 24,346 22,828 28,369 32,544 21,741 25,164 76,397 18,697 404,586 39,508 11,506 67,240 108,630 78,689 344,409 25,114 57,608 80,643 22,972 18,613 58,169 23,740 18,952 21,715 46,273 163,760 14,558 21,274 22,005 17,106 56,800 618,468 250,643 205,867 111,346 50,612 30,658 14,869 29,277 124,839 38,107 15,187 207,164 22,534 23,971 71,055 106,110 10,596 9,929 35,138 25,466 58,627 70,506 164,334 25,054 2.1 1.4 3.8 1.4 7.3 3.2 1.9 0.6 3.2 4.3 16.1 1.1 5.4 7.1 5.0 5.7 5.1 6.5 8.2 4.4 9.2 5.7 9.8 6.4 2.1 5.3 2.6 5.7 2.4 3.1 1.4 10.3 12.4 4.0 1.2 3.4 4.7 4.0 4.3 4.4 10.1 0.7 0.2 0.1 0.2 7.1 9.4 5.9 7.9 0.4 5.6 5.6 –0.7 3.6 5.5 1.9 5.2 8.5 3.1 3.8 3.4 3.0 7.3 7.0 7.1 4.2 7.4 2.0 1.5 2.5 6.4



Number 27,615 117,390 24,920 149,570 114,525 26,630 148,525 25,500 33,575 9,865 30,395 26,740 35,690 37,955 25,045 29,830 87,520 22,305 488,925 45,140 15,080 82,715 128,630 94,080 391,010 29,005 63,295 98,115 27,245 22,420 69,150 27,825 23,350 24,460 53,405 195,380 16,180 24,530 26,230 19,295 67,440 673,925 269,875 221,055 122,570 60,425 27,590 17,595 33,375 137,055 44,335 18,850 234,705 26,055 28,060 77,350 121,810 10,440 11,425 40,770 27,955 68,595 85,015 194,700 28,210



Retired workers, number 16,925 74,235 14,015 98,410 69,980 13,310 100,460 16,115 20,900 7,080 17,780 17,040 21,805 24,415 13,310 19,820 56,820 13,365 298,555 30,435 8,615 47,615 80,265 52,445 253,210 15,970 45,965 50,580 16,645 13,500 38,030 18,000 16,200 15,945 35,075 104,745 10,280 14,470 16,880 12,795 43,575 443,955 172,200 151,400 80,325 40,030 18,360 9,920 21,475 98,160 24,875 10,895 147,130 17,635 17,825 49,000 88,610 7,350 7,450 27,890 18,090 35,070 48,895 125,155 19,155 55,275 8,100 798,755 663,660 69,520 65,575



Number 3,637 12,863 6,720 17,146 16,929 7,020 14,208 4,606 3,759 532 5,883 2,717 3,493 3,868 4,579 1,902 8,641 3,983 71,993 5,170 2,747 14,179 16,784 30,476 54,104 4,568 3,372 19,953 4,095 2,436 10,598 3,202 1,429 2,124 6,612 32,866 1,261 2,740 2,248 1,393 7,377 99,614 51,659 24,630 20,353 2,972 2,481 3,843 3,954 10,467 17,613 2,550 30,670 2,406 3,398 7,233 7,088 670 1,097 2,937 2,720 11,931 12,518 22,315 2,574 11,648 1,110 191,863 171,166 12,980 7,717



Allentown-Bethlehem-Easton, PA-NJ. Altoona, PA . . . . . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . . Anderson, IN . . . . . . . . . . . . . . . . Anderson, SC . . . . . . Ann Arbor, MI . . . . . . Anniston-Oxford, AL. . Appleton, WI . . . . . . Asheville, NC . . . . . . Athens-Clarke County, ... ... ... ... ... GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Atlanta-Sandy Springs-Marietta, GA Atlantic City, NJ . . . . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . Augusta-Richmond County, GA-SC. Austin-Round Rock, TX . . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Baltimore-Towson, MD . Bangor, ME . . . . . . . . Barnstable Town, MA . . Baton Rouge, LA . . . . Battle Creek, MI . . . . . Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 12,491 . 489 . 844 . 1,639 . 256 . 172 . . . . . . . . . . . 708 495 409 536 681 4,187 340 290 392 334 1,195



Beaumont-Port Arthur, TX . Bellingham, WA . . . . . . . Bend, OR . . . . . . . . . . . Billings, MT . . . . . . . . . . Binghamton, NY . . . . . . . Birmingham-Hoover, AL . .



Bismarck, ND . . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA . Bloomington, IN . . . . . . . . . . . . . . . . Bloomington-Normal, IL . . . . . . . . . . . Boise City-Nampa, ID. . . . . . . . . . . . .



Boston-Cambridge-Quincy, MA-NH . . . . . Boston-Quincy, MA . . . . . . . . . . . . . . . . Cambridge-Newton-Framingham, MA. . . . Essex County, MA . . . . . . . . . . . . . . . . Rockingham County-Strafford County, NH. Boulder, CO5 . . . . . . . . . . . . . . . . . . . . . Bowling Green, KY . . . . . . . . . . Bremerton-Silverdale, WA . . . . . . Bridgeport-Stamford-Norwalk, CT . Brownsville-Harlingen, TX . . . . . . Brunswick, GA . . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . . . Burlington, NC . . . . . . . . . . . . Burlington-South Burlington, VT . Canton-Massillon, OH . . . . . . . Cape Coral-Fort Myers, FL . . . . Carson City, NV . . . . . . . . . . . Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 24,178 . 13,213 . 8,288 . 1,835 . 842 . 997 . . . . . . . . . . . . . . . . . . 274 619 3,613 550 255 4,070 247 1,321 934 1,374 161 180 464 631 996 2,652 3,555 1,902



Cedar Rapids, IA. . . . . . . . . . . . . . Champaign-Urbana, IL . . . . . . . . . . Charleston, WV. . . . . . . . . . . . . . . Charleston-North Charleston, SC . . . Charlotte-Gastonia-Concord, NC-SC . Charlottesville, VA . . . . . . . . . . . . .



Chattanooga, TN-GA . . . . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI. . Chicago-Naperville-Joliet, IL . . . . . . Gary, IN . . . . . . . . . . . . . . . . . . . Lake County-Kenosha County, IL-WI See footnotes at end of table.



. 1,410 . 232 . 31,150 . 27,192 . 1,345 . 2,613



405 76,843 235 11,498 260 1,089,802 264 908,105 378 97,775 127 83,922



15,794 90,790 13,625 12,605 11,681 1,224,775 11,635 1,009,620 14,241 116,500 10,010 98,655



150



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-6. Metropolitan Areas — Physicians, Community Hospitals, Medicare, Social Security, and SSI—Con.

Physicians, 20031 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Rate per 100,000 Numper- Number ber sons2 Chico, CA . . . . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN . Clarksville, TN-KY . . . . . . . . . . . Cleveland, TN. . . . . . . . . . . . . . Cleveland-Elyria-Mentor, OH . . . . Coeur d’Alene, ID . . . . . . . . . . . College Station-Bryan, Colorado Springs, CO Columbia, MO . . . . . Columbia, SC . . . . . . Columbus, GA-AL . . . Columbus, IN . . . . . . TX. ... ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 505 6,294 364 166 9,240 257 426 1,338 1,102 2,012 657 197 239 307 154 156 432 219 227 235 734 300 237 272 300 246 347 233 221 250 161 162 192 179 203 288 147 257 213 330 221 291 243 330 258 169 261 297 1,108 317 93 206 146 306 193 220 271 265 243 344 148 209 188 267 225 248 193 183 252 179 272 257 216 211 812 223 227 175 283 293 239 307 157 224 224 582 4 23 3 3 27 1 3 2 4 7 4 1 16 6 1 3 71 45 26 2 2 1 7 9 4 2 6 18 8 40 17 23 3 1 2 11 6 5 2 2 2 2 8 6 4 8 1 2 1 1 8 2 3 5 3 3 3 8 4 7 12 2 4 1 1 1 4 3 8 1 1 5 5 1 Community hospitals, 20033 Medicare program enrollment, 20034 Social security program beneficiaries, December 2004 Supplemental security income program recipients, 2004



Beds Rate per 100,000 perNumber sons2 450 4,886 365 278 7,392 246 423 868 918 1,852 1,025 256 4,612 1,635 134 450 12,202 8,194 4,008 290 289 350 1,097 2,426 558 494 1,473 4,538 1,443 10,460 5,414 5,046 749 325 447 1,567 1,811 594 206 308 421 489 1,649 1,170 604 1,543 217 532 151 537 860 267 1,207 945 552 149 445 975 472 1,612 2,273 415 1,139 418 342 256 646 716 2,106 490 276 669 2,117 720 213 239 155 262 345 209 225 152 611 276 369 354 275 402 169 446 218 219 217 228 349 322 293 287 379 444 315 197 287 233 267 205 561 241 494 567 407 393 138 282 223 542 235 413 183 445 255 297 123 156 227 220 273 481 389 152 167 348 265 403 267 402 480 267 270 226 675 574 276 614 130 229 320 454 Rate per 100,000 persons2 17,599 13,540 11,160 15,721 15,791 15,095 9,462 10,133 11,235 12,346 13,919 14,619 11,459 13,191 10,929 20,076 8,716 8,375 9,407 12,445 19,030 19,913 15,740 15,668 15,422 18,124 22,335 9,721 12,651 13,662 14,177 13,237 15,585 13,488 16,700 17,860 11,579 14,871 12,641 13,425 12,270 18,520 11,262 16,182 15,520 16,244 6,140 11,876 10,527 10,088 13,396 11,725 14,812 15,265 18,923 16,466 10,708 16,146 15,029 13,106 11,118 19,175 12,422 11,047 17,244 15,664 13,402 17,304 12,147 16,587 9,147 12,790 14,551 12,371 Rate per Percent 100,000 change, per2000– sons2 2004 20,088 15,500 13,793 19,410 17,394 18,369 10,849 11,805 13,119 14,925 16,273 17,799 13,035 15,459 13,384 21,397 10,181 9,725 11,102 15,019 21,409 23,967 18,140 17,413 18,937 20,349 25,476 11,106 14,537 15,888 16,387 15,475 21,197 16,884 18,961 19,942 13,839 17,153 14,739 15,575 14,290 21,488 12,659 18,558 17,910 18,901 7,973 13,230 12,956 12,654 16,162 11,079 17,557 17,925 22,872 17,454 12,291 19,785 16,833 15,413 12,379 23,531 13,847 13,498 20,123 18,516 14,940 19,254 14,481 18,871 11,009 15,193 17,035 14,947 2.1 2.0 6.6 8.9 –1.0 14.4 4.4 6.2 7.1 6.1 2.3 9.4 4.2 3.9 6.8 1.4 8.0 8.2 7.5 7.1 0.4 2.2 2.0 1.7 7.4 1.5 3.4 4.1 3.1 1.2 –2.1 4.2 5.0 12.9 3.5 1.8 5.0 2.5 1.3 7.4 5.3 0.6 6.0 2.0 6.2 2.4 10.8 2.7 7.5 7.5 5.6 8.2 3.2 5.6 5.4 2.4 7.3 5.8 7.4 3.3 4.3 2.5 6.1 10.4 5.6 5.2 0.9 5.9 5.4 2.8 4.9 5.4 5.6 5.2 Rate per 100,000 persons2 4,835 1,928 2,301 2,611 2,281 1,542 1,662 1,005 1,449 1,998 3,171 1,541 1,814 3,106 861 2,536 1,323 1,348 1,272 2,037 3,092 3,722 1,720 1,977 2,979 2,760 1,960 1,097 1,288 2,328 3,731 1,187 4,071 2,043 1,546 2,291 1,679 1,738 6,328 3,010 1,193 3,228 3,356 3,198 1,745 2,080 787 1,140 2,927 2,576 1,481 2,486 3,037 4,209 3,296 1,164 695 3,301 1,355 1,357 4,503 4,163 2,295 1,353 2,363 3,820 1,214 1,668 1,853 1,922 1,101 1,308 1,883 3,532



Percent change, 2000– Total 2003 37,160 277,165 26,365 16,705 337,978 17,754 17,793 57,709 16,866 82,855 38,635 10,575 192,187 53,587 8,656 20,271 486,884 312,979 173,905 15,855 15,773 21,660 59,014 132,487 22,730 20,177 104,449 223,773 63,709 613,075 287,693 325,382 20,822 18,154 15,114 49,355 51,580 22,502 18,825 14,640 23,188 16,716 79,128 45,799 51,244 56,300 5,233 21,247 12,891 34,778 50,698 14,208 65,570 29,981 26,830 16,165 28,548 45,185 26,727 52,445 94,572 19,773 29,482 17,273 21,873 17,762 12,833 21,588 92,647 13,233 19,380 37,330 96,334 19,612 2.5 2.4 6.6 8.9 –0.5 14.2 6.1 7.0 6.8 5.7 2.6 7.7 4.1 3.6 6.4 0.9 7.1 7.2 6.9 8.1 0.9 1.4 1.8 2.4 6.7 0.9 3.1 4.5 3.5 0.8 –2.4 3.8 6.6 11.8 4.3 0.5 5.0 2.2 7.3 9.0 5.0 0.8 6.4 1.3 6.0 2.0 8.6 2.6 9.4 9.5 5.2 10.7 5.4 5.9 5.1 2.1 7.2 4.6 9.7 2.8 5.0 2.4 6.2 9.9 5.3 5.4 –0.1 7.7 4.1 3.4 7.9 4.6 5.8 6.8



Number 42,415 317,280 32,585 20,625 372,305 21,605 20,400 67,230 19,695 100,165 45,170 12,875 218,605 62,800 10,600 21,605 568,685 363,445 205,240 19,135 17,745 26,070 68,015 147,245 27,910 22,655 119,140 255,640 73,210 712,945 332,540 380,405 28,320 22,725 17,160 55,110 61,645 25,955 21,950 16,985 27,005 19,395 88,945 52,525 59,135 65,510 6,795 23,670 15,865 43,625 61,165 13,425 77,725 35,205 32,430 17,135 32,770 55,370 29,935 61,675 105,300 24,265 32,865 21,105 25,525 20,995 14,305 24,020 110,445 15,055 23,325 44,345 112,785 23,695



Retired workers, number 26,310 191,010 18,670 11,930 242,825 13,615 12,490 41,710 12,110 60,975 26,140 8,095 133,065 35,235 7,340 13,050 353,385 226,760 126,625 11,405 10,805 16,150 44,675 90,620 15,690 14,320 81,530 166,880 49,510 431,620 185,770 245,850 16,350 14,135 11,410 33,770 39,800 16,695 12,570 9,170 18,225 12,240 49,210 33,150 38,455 40,040 4,120 15,070 8,530 22,795 37,530 7,485 44,545 19,735 17,685 11,775 21,925 29,415 18,900 40,600 63,910 12,495 20,100 13,540 16,085 11,690 9,290 15,715 69,990 9,685 14,130 28,605 74,750 13,110



Number 10,296 39,681 5,496 2,800 48,736 1,887 3,149 5,790 2,192 13,578 8,863 1,125 30,723 12,725 683 2,562 75,395 51,385 24,010 2,648 2,560 4,024 6,457 16,720 4,398 3,063 9,381 25,567 6,594 104,623 75,219 29,404 5,506 2,835 1,407 6,318 7,576 2,661 9,647 3,297 2,288 2,905 23,932 9,031 5,785 7,247 676 2,070 3,634 8,957 5,787 3,052 13,481 8,303 4,691 1,148 1,868 9,313 2,458 5,457 39,033 4,298 5,488 2,178 3,023 4,364 1,166 2,123 14,223 1,535 2,415 3,866 12,569 5,679



Columbus, OH . . . . . . . . . . . . . Corpus Christi, TX . . . . . . . . . . . Corvallis, OR . . . . . . . . . . . . . . Cumberland, MD-WV . . . . . . . . . Dallas-Fort Worth-Arlington, TX Dallas-Plano-Irving, TX . . . . . . Fort Worth-Arlington, TX . . . . .



. 5,024 . 1,000 . 275 . 235 . 12,343 . 9,361 . 2,982 . . . . . . 206 159 195 760 2,438 217



Dalton, GA . . . . . . . . . . . . . . . . . . Danville, IL. . . . . . . . . . . . . . . . . . Danville, VA . . . . . . . . . . . . . . . . . Davenport-Moline-Rock Island, IA-IL . Dayton, OH . . . . . . . . . . . . . . . . . Decatur, AL . . . . . . . . . . . . . . . . .



Decatur, IL . . . . . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, Denver-Aurora, CO5 . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . . . . . . . . . Detroit-Warren-Livonia, MI . . . . . . . . Detroit-Livonia-Dearborn, MI. . . . . . . Warren-Farmington Hills-Troy, MI . . . Dothan, AL. . . Dover, DE . . . Dubuque, IA . . Duluth, MN-WI Durham, NC . . Eau Claire, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



... FL . ... ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 286 . 995 . 7,598 . 1,111 . 13,042 . 4,935 . 8,107 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 345 228 236 821 4,934 480 139 225 275 276 1,353 622 896 920 207 616 181 719 711 324 996 488 274 180 671 502 483 1,028 1,839 218 1,928 349 288 199 271 366 1,822 245 333 653 1,481 923



El Centro, CA . . . . Elizabethtown, KY . Elkhart-Goshen, IN Elmira, NY . . . . . . El Paso, TX . . . . . Erie, PA. . . . . . . .



Eugene-Springfield, OR Evansville, IN-KY . . . . Fairbanks, AK . . . . . . . Fargo, ND-MN . . . . . . Farmington, NM . . . . . Fayetteville, NC . . . . .



Fayetteville-Springdale-Rogers, AR-MO . Flagstaff, AZ. . . . . . . . . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Florence, SC . . . . . . . . . . . . . . . . . . Florence-Muscle Shoals, AL . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Fort Smith, AR-OK. . . . . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Fort Wayne, IN . . . . . . . . . . . . . . . . . Fresno, CA . . . . . . . . . . . . . . . . . . . Gadsden, AL . . . . . . . . . . . . . . . . . . Gainesville, FL . . . . . Gainesville, GA . . . . . Glens Falls, NY. . . . . Goldsboro, NC . . . . . Grand Forks, ND-MN . Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Grand Rapids-Wyoming, MI Great Falls, MT. . . . . . . . . Greeley, CO5 . . . . . . . . . . Green Bay, WI . . . . . . . . . Greensboro-High Point, NC. Greenville, NC . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



151



Table B-6. Metropolitan Areas — Physicians, Community Hospitals, Medicare, Social Security, and SSI—Con.

Physicians, 20031 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Rate per 100,000 Numper- Number ber sons2 Greenville, SC . . . . . . . . . . . . . Gulfport-Biloxi, MS. . . . . . . . . . . Hagerstown-Martinsburg, MD-WV. Hanford-Corcoran, CA . . . . . . . . Harrisburg-Carlisle, PA . . . . . . . . Harrisonburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,528 672 467 144 1,910 255 4,464 421 701 60 349 3,478 264 269 196 104 369 231 378 328 200 85 140 389 326 168 291 330 237 210 386 1,294 271 130 417 385 313 165 215 139 458 287 262 181 331 174 285 185 316 278 207 358 185 448 231 290 210 187 188 236 106 174 196 216 213 245 245 266 520 258 265 441 156 190 224 307 303 322 340 411 211 362 112 510 8 6 3 3 6 1 12 2 5 1 3 13 3 5 59 5 4 2 18 3 1 2 13 2 12 1 3 3 6 3 3 4 5 2 37 4 5 6 3 9 4 2 1 7 8 4 4 5 2 2 10 1 2 1 2 2 10 2 4 14 2 4 1 126 97 29 18 6 2 5 2 7 Community hospitals, 20033 Medicare program enrollment, 20034 Social security program beneficiaries, December 2004 Supplemental security income program recipients, 2004



Beds Rate per 100,000 perNumber sons2 1,364 1,036 472 141 1,687 244 2,525 748 1,136 94 316 2,160 465 653 12,721 1,452 973 299 4,997 950 148 476 2,947 733 3,160 133 394 332 885 581 476 780 928 445 5,911 431 924 1,147 431 2,353 462 484 451 1,028 890 1,190 1,034 1,128 492 314 2,751 108 445 198 197 360 1,754 568 1,113 3,008 188 664 202 28,403 23,191 5,212 3,909 1,442 984 955 352 1,467 236 415 198 102 326 221 214 583 324 133 127 242 510 331 251 506 272 278 312 698 149 293 578 670 264 88 254 232 475 388 432 481 290 419 310 205 269 382 238 367 456 377 249 421 459 233 214 248 231 172 175 106 403 161 338 339 417 530 402 478 Rate per 100,000 persons2 14,553 14,927 14,839 8,240 15,879 12,439 15,310 13,907 15,303 5,841 11,835 14,188 25,361 13,409 8,522 19,379 13,048 11,939 11,907 10,310 11,070 15,050 13,062 14,429 12,652 8,741 14,683 13,623 17,692 21,956 15,212 16,266 13,702 15,636 12,897 10,746 9,494 20,015 15,322 15,864 16,103 14,656 11,064 11,652 14,223 18,324 15,130 12,195 8,617 12,142 11,572 9,377 11,972 17,735 19,411 17,659 12,153 15,736 11,914 13,383 Rate per Percent 100,000 change, per2000– sons2 2004 17,254 17,674 17,264 10,068 17,240 15,583 17,157 17,012 18,678 7,945 13,679 15,305 26,992 17,096 10,066 21,415 15,123 14,666 14,074 11,947 12,867 17,705 15,906 17,292 14,853 10,607 17,418 16,590 21,029 24,210 18,497 19,266 16,344 17,875 14,826 12,775 11,305 24,198 18,255 18,595 19,503 16,525 13,257 14,211 16,918 22,017 17,227 14,379 9,922 13,963 13,899 10,708 14,320 20,300 22,549 20,218 14,363 18,331 13,368 16,519 9,869 18,664 19,748 10,580 10,456 10,994 17,013 14,316 20,465 17,540 14,327 13,085 6.8 5.8 8.4 7.0 3.8 5.2 1.4 4.8 7.3 11.8 8.1 4.7 2.4 3.7 8.5 3.6 9.9 8.6 4.7 5.9 4.0 3.7 4.2 3.5 6.3 10.4 4.8 4.4 6.6 –1.6 8.0 4.0 4.4 2.1 3.0 6.7 10.4 6.8 2.7 4.7 4.9 2.4 4.9 5.2 3.2 6.1 5.3 4.4 9.7 8.0 14.5 6.0 5.2 4.3 5.1 3.3 6.3 –0.3 3.0 6.1 5.0 0.6 9.8 3.6 3.1 5.0 3.0 3.7 5.4 3.4 4.4 4.9 Rate per 100,000 persons2 1,929 3,077 1,717 3,070 1,528 1,151 1,630 3,415 1,700 1,584 820 1,804 2,922 3,533 1,743 5,014 2,140 1,469 1,361 963 1,606 2,202 3,417 2,906 1,926 1,625 1,891 1,377 2,883 3,205 3,784 2,275 2,095 2,382 1,339 1,497 1,640 3,374 2,342 2,345 1,861 1,683 949 2,766 2,689 2,683 1,533 1,754 4,126 3,190 1,451 905 2,280 1,452 2,549 3,153 2,358 2,321 1,277 2,407 537 2,719 2,650 3,538 3,968 2,108 2,416 2,043 2,253 3,591 3,277 1,221



Percent change, 2000– Total 2003 84,136 37,267 35,310 11,430 82,134 13,750 180,643 17,846 53,658 4,121 29,533 126,752 23,127 26,492 432,380 55,613 46,661 12,830 190,606 14,032 11,004 24,460 66,653 15,792 151,482 13,248 22,752 19,503 32,949 32,844 16,753 26,397 43,818 16,616 245,834 22,589 32,656 60,055 27,798 101,631 16,315 18,833 20,029 28,439 27,580 93,608 73,091 55,388 18,329 22,166 182,306 9,567 13,205 21,824 11,311 18,740 51,148 16,855 32,950 84,220 6.2 7.7 6.7 7.4 3.3 3.4 2.0 5.7 6.8 13.6 8.3 5.2 2.6 4.6 7.5 3.1 10.6 7.4 4.5 5.6 3.9 2.7 5.0 3.3 7.3 11.6 4.2 3.3 6.1 –2.4 4.7 3.5 3.3 2.1 3.3 7.4 9.1 6.4 2.8 5.2 2.7 2.7 3.8 6.1 4.3 5.0 4.9 5.1 9.2 9.8 14.7 5.5 5.2 4.4 6.1 4.4 5.7 –0.5 3.6 6.5 7.7 3.6 6.0 4.8 4.3 6.5 3.0 3.9 5.6 3.2 6.9 5.2



Number 99,755 44,125 41,080 13,965 89,170 17,225 202,445 21,830 65,490 5,605 34,135 136,730 24,615 33,775 510,670 61,455 54,080 15,760 225,295 16,260 12,790 28,775 81,165 18,925 177,840 16,075 26,990 23,750 39,165 36,215 20,370 31,265 52,270 18,995 282,605 26,855 38,885 72,605 33,120 119,125 19,760 21,235 24,000 34,685 32,805 112,470 83,225 65,310 21,105 25,490 218,970 10,925 15,795 24,980 13,140 21,455 60,450 19,635 36,970 103,955



Retired workers, number 61,885 24,370 25,785 7,760 61,960 11,680 141,445 11,500 42,845 2,770 23,165 99,140 16,325 14,140 300,830 30,610 32,920 9,775 144,260 10,935 8,565 18,115 45,120 11,245 108,685 9,300 17,825 14,655 21,895 21,210 11,200 18,260 33,480 11,075 182,870 17,070 22,575 39,445 20,520 71,635 12,990 14,520 15,745 17,410 16,510 73,255 58,860 40,975 11,055 15,535 147,410 7,160 9,070 17,730 8,095 12,935 36,095 12,225 24,940 60,350 7,055 21,710 11,185 894,715 671,285 223,430 118,920 22,215 29,795 21,815 11,970 47,085



Number 11,260 7,777 4,204 4,377 7,933 1,281 19,304 4,439 5,998 1,151 2,070 16,226 2,692 7,020 90,321 14,391 7,757 1,622 22,070 1,323 1,608 3,589 17,676 3,202 23,600 2,507 2,960 1,962 5,400 4,759 4,220 3,736 6,688 2,553 25,779 3,226 5,676 10,144 4,257 15,177 1,884 2,165 1,723 6,808 5,233 14,071 7,473 7,997 9,054 5,936 23,948 930 2,520 1,808 1,495 3,374 10,014 2,480 3,554 15,323 589 5,449 2,549 457,300 394,311 62,989 29,017 5,263 5,240 8,193 4,554 6,492



Hartford-West Hartford-East Hartford, Hattiesburg, MS . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . Hinesville-Fort Stewart, GA . . . . . . . Holland-Grand Haven, MI . . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . . Hot Springs, AR . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA Houston-Sugar Land-Baytown, TX . Huntington-Ashland, WV-KY-OH. . . Huntsville, AL . . . . . . . . . . . . . . . Idaho Falls, ID . . . . . . . . . . . . . . Indianapolis, IN . Iowa City, IA. . . Ithaca, NY . . . . Jackson, MI . . . Jackson, MS . . Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



CT. ... ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 297 . 332 . 14,750 . 947 . 849 . 226 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,180 1,761 269 211 2,126 421 3,749 250 333 199 853 430 288 293 1,058 185 5,430 389 1,086 833 375 2,293 187 576 419 707 407 954 910 1,073 226 318 3,091 220 235 301 143 282 2,189 276 733 2,773



Jacksonville, FL . . Jacksonville, NC . . Janesville, WI . . . . Jefferson City, MO. Johnson City, TN. . Johnstown, PA . . .



Jonesboro, AR . . . . . . . . . . . . Joplin, MO . . . . . . . . . . . . . . . Kalamazoo-Portage, MI . . . . . . Kankakee-Bradley, IL . . . . . . . . Kansas City, MO-KS . . . . . . . . Kennewick-Richland-Pasco, WA. Killeen-Temple-Fort Hood, TX . Kingsport-Bristol-Bristol, TN-VA Kingston, NY . . . . . . . . . . . . Knoxville, TN . . . . . . . . . . . . Kokomo, IN . . . . . . . . . . . . . La Crosse, WI-MN. . . . . . . . . Lafayette, IN . . . . . . . . Lafayette, LA . . . . . . . . Lake Charles, LA . . . . . Lakeland, FL . . . . . . . . Lancaster, PA . . . . . . . . Lansing-East Lansing, MI Laredo, TX. . . . . . . . . . Las Cruces, NM . . . . . . Las Vegas-Paradise, NV. Lawrence, KS . . . . . . . . Lawton, OK . . . . . . . . . Lebanon, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Lewiston, ID-WA . . . . . . . . . . . Lewiston-Auburn, ME . . . . . . . . Lexington-Fayette, KY . . . . . . . Lima, OH . . . . . . . . . . . . . . . . Lincoln, NE . . . . . . . . . . . . . . Little Rock-North Little Rock, AR



Logan, UT-ID . . . . . . . . . . . . . . . . . . . . Longview, TX . . . . . . . . . . . . . . . . . . . . Longview, WA. . . . . . . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Los Angeles-Long Beach-Glendale, CA . Santa Ana-Anaheim-Irvine, CA . . . . . . . Louisville, KY-IN Lubbock, TX. . . Lynchburg, VA . Macon, GA . . . Madera, CA . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 169 . 377 . 213 . 39,402 . 29,860 . 9,542 . . . . . . 4,042 1,056 489 820 150 2,679



173 9,075 334 33,182 212 15,448 222 1,338,861 235 1,029,780 176 309,081 328 562 425 421 263 279 173,845 31,878 42,556 33,606 19,091 60,530



8,374 10,695 16,688 37,110 16,236 18,790 10,443 1,356,400 10,444 1,030,955 10,441 325,445 14,606 12,415 18,397 14,827 14,279 11,528 202,485 36,760 47,340 39,755 19,155 68,705



See footnotes at end of table.



152



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-6. Metropolitan Areas — Physicians, Community Hospitals, Medicare, Social Security, and SSI—Con.

Physicians, 20031 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Rate per 100,000 Numper- Number ber sons2 Manchester-Nashua, NH. . . . . Mansfield, OH. . . . . . . . . . . . McAllen-Edinburg-Mission, TX . Medford, OR . . . . . . . . . . . . Memphis, TN-MS-AR . . . . . . . Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 947 236 753 601 3,677 256 240 184 119 316 297 111 343 267 393 355 185 188 374 305 400 292 183 260 94 217 743 151 271 305 157 199 426 387 371 524 460 448 335 484 374 476 196 276 190 155 207 163 288 289 371 231 289 198 239 243 229 194 216 293 299 401 274 462 282 239 173 384 402 217 373 343 240 251 228 307 147 279 5 1 7 3 17 2 57 17 26 14 2 2 19 32 2 6 4 7 1 8 4 3 1 1 2 3 2 1 23 9 23 154 17 25 19 93 2 2 2 1 2 4 21 2 14 13 2 1 7 5 2 5 2 6 5 67 10 52 5 31 1 41 3 2 9 16 3 7 2 15 6 2 Community hospitals, 20033 Medicare program enrollment, 20034 Social security program beneficiaries, December 2004 Supplemental security income program recipients, 2004



Beds Rate per 100,000 perNumber sons2 825 365 1,405 539 4,038 289 15,105 4,921 7,210 2,974 444 373 4,241 6,177 346 1,478 1,198 1,057 177 1,033 728 336 43 393 382 571 421 539 4,499 2,145 5,723 58,510 5,037 8,410 6,960 38,103 414 417 610 208 438 718 3,721 434 2,745 6,725 338 345 1,353 1,188 547 764 441 1,442 1,332 17,698 2,578 13,599 1,521 7,004 377 9,089 435 369 1,320 3,386 847 1,521 227 3,595 675 543 209 285 221 283 326 125 286 285 309 245 405 314 280 200 351 370 244 619 117 293 641 264 39 332 220 271 320 188 328 255 435 Rate per 100,000 persons2 12,177 17,105 9,194 17,816 11,800 9,083 15,404 14,164 13,756 20,347 15,129 12,335 14,131 10,724 11,840 14,832 11,844 14,037 13,154 14,065 13,239 17,729 15,984 15,732 16,112 16,031 16,725 18,928 11,875 15,664 13,610 Rate per Percent 100,000 change, per2000– sons2 2004 14,345 19,243 10,845 20,705 14,245 12,200 16,644 15,840 14,234 22,434 17,903 14,647 16,032 12,197 13,546 18,240 13,619 16,221 16,044 16,883 15,735 20,999 18,468 18,602 19,338 21,572 16,740 21,697 14,158 17,359 16,025 14,577 17,066 17,157 14,480 13,469 19,760 16,717 30,007 24,812 15,142 10,449 14,650 15,912 14,036 15,771 16,641 20,142 12,811 23,813 19,182 21,125 17,881 18,238 18,637 16,445 15,830 16,794 15,561 13,864 17,620 21,456 22,714 13,573 17,668 13,146 26,758 15,303 27,027 18,131 8,617 18,898 4.5 3.9 9.3 5.2 4.0 5.1 1.6 –1.8 4.0 2.3 2.9 3.8 0.8 4.7 4.4 4.5 4.7 3.1 0.2 5.7 3.2 9.9 4.7 1.8 4.2 13.5 1.3 9.0 5.9 –0.1 2.4 Rate per 100,000 persons2 1,051 2,168 4,612 1,623 3,270 4,361 3,189 1,799 5,226 1,279 1,560 1,779 2,335 1,340 1,654 3,416 3,963 3,552 1,302 3,870 2,450 3,218 1,631 383 3,111 2,035 1,699 733 1,660 1,830 3,753 3,007 1,041 1,328 1,868 4,028 3,002 1,193 2,248 1,486 2,812 834 1,760 1,659 1,332 2,117 1,164 3,302 1,892 1,640 2,448 3,298 2,137 2,380 1,833 2,586 1,670 3,058 1,562 1,359 4,107 2,633 2,873 1,904 1,599 1,520 1,771 1,674 1,544 2,969 794 3,263



Percent change, 2000– Total 2003 48,117 21,933 58,418 33,915 146,180 21,018 812,930 244,892 321,353 246,685 16,605 14,662 213,907 330,821 11,664 59,320 58,154 23,965 19,848 49,636 15,026 22,588 17,462 18,631 27,920 33,827 22,036 54,158 162,946 131,800 179,082 3.9 3.4 8.9 6.0 2.9 5.6 1.6 –2.1 4.1 2.3 1.6 5.3 0.7 4.6 4.6 3.8 5.9 2.2 6.1 5.4 2.0 8.8 4.8 2.0 3.1 12.8 0.7 10.0 6.4 0.4 2.7 1.6 2.3 1.9 1.2 1.4 2.9 3.1 6.7 1.4 4.2 7.5 4.4 9.5 3.6 9.5 2.2 4.3 7.3 8.0 10.3 4.0 9.5 10.5 0.9 1.1 3.4 0.0 4.0 7.2 0.5 –1.2 0.4 4.7 5.5 5.3 6.0 4.4 10.5 0.7 7.6 3.5



Number 56,680 24,675 68,910 39,415 176,480 28,230 878,380 273,865 332,530 271,985 19,650 17,410 242,680 376,260 13,345 72,950 66,870 27,695 24,210 59,580 17,860 26,755 20,175 22,030 33,510 45,520 22,055 62,080 194,260 146,070 210,865



Retired workers, number 37,115 15,675 38,240 26,530 99,140 16,195 612,245 187,475 224,495 200,275 12,580 10,785 161,945 254,260 8,280 38,165 39,225 15,415 14,425 33,120 9,965 14,880 13,600 13,650 18,985 29,905 14,835 46,035 119,985 99,645 111,380



Number 4,189 2,777 30,356 3,133 40,882 10,336 170,988 31,563 123,521 15,904 1,712 2,141 35,397 41,751 1,638 13,682 19,751 6,083 1,986 13,747 2,788 4,151 1,811 451 5,426 4,429 2,249 2,174 23,170 15,475 49,528 562,691 23,842 37,373 40,208 461,268 4,897 3,179 6,548 1,497 3,501 3,982 20,139 3,727 10,708 39,405 1,851 3,666 15,092 8,519 3,867 5,374 3,339 10,405 6,744 150,032 20,669 118,735 10,628 50,496 4,348 63,226 3,806 1,583 8,166 31,372 6,459 11,109 2,943 48,355 3,275 4,900



Miami-Fort Lauderdale-Miami Beach, FL . . . . . . . Fort Lauderdale-Pompano Beach-Deerfield Beach, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . West Palm Beach-Boca Raton-Boynton Beach, FL . Michigan City-La Porte, IN . . . . . . . . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . . Minneapolis-St. Paul-Bloomington, MN-WI . Missoula, MT . . . . . . . . . . . . . . . . . . . . Mobile, AL . . . . . . . . . . . . . . . . . . . . . . Modesto, CA . . . . . . . . . . . . . . . . . . . . Monroe, LA . . . . . . . . . . . . . . . . . . . . . Monroe, MI . . . . . . . . . Montgomery, AL . . . . . . Morgantown, WV. . . . . . Morristown, TN . . . . . . . Mount Vernon-Anacortes, Muncie, IN . . . . . . . . . . ... ... ... ... WA ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 18,096 . . . . . . . . . . . . . . . . . . . . . . . 4,612 9,183 4,301 203 223 5,659 9,410 394 1,167 901 444 142 765 843 192 296 361 272 419 561 1,106 5,089 4,406 6,050



Muskegon-Norton Shores, MI . . . . . . . . . . . . Myrtle Beach-Conway-North Myrtle Beach, SC . Napa, CA. . . . . . . . . . . . . . . . . . . . . . . . . . Naples-Marco Island, FL. . . . . . . . . . . . . . . . Nashville-Davidson-Murfreesboro, TN . . . . . . . New Haven-Milford, CT . . . . . . . . . . . . . . . . New Orleans-Metairie-Kenner, LA. . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA . . . . . . . . . . . . . . . . . . . . . . . . Edison, NJ . . . . . . . . . . . . . . . . . . . . . . . Nassau-Suffolk, NY . . . . . . . . . . . . . . . . . Newark-Union, NJ-PA . . . . . . . . . . . . . . . . New York-White Plains-Wayne, NY-NJ . . . . . Niles-Benton Harbor, MI . . Norwich-New London, CT . Ocala, FL. . . . . . . . . . . . Ocean City, NJ . . . . . . . . Odessa, TX . . . . . . . . . . Ogden-Clearfield, UT . . . . Oklahoma City, OK . . Olympia, WA . . . . . . Omaha-Council Bluffs, Orlando-Kissimee, FL. Oshkosh-Neenah, WI . Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



..... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 83,731 . 7,601 . 13,589 . 8,014 . 54,527 . . . . . . . . . . . . . . . . . . 320 732 535 158 255 765 3,267 639 2,944 4,172 459 219 1,889 1,231 355 317 333 1,259 1,094



313 2,527,769 222 342,666 299 427,077 325 278,439 333 1,479,587 254 157 217 204 356 153 328 196 346 373 213 311 171 235 353 468 286 336 364 307 210 351 226 195 355 377 327 445 260 166 243 232 123 221 166 364 29,034 39,390 72,671 22,252 15,937 44,492 140,357 29,554 98,110 248,436 22,481 18,725 91,182 103,480 25,461 30,095 20,469 64,956 59,809 841,688 167,371 585,929 88,388 416,913 16,073 460,650 26,737 10,306 78,328 234,359 79,114 85,648 39,042 261,178 29,215 25,964



13,539 2,721,495 15,096 387,370 15,205 481,890 12,992 310,330 12,924 1,541,905 17,828 14,854 25,848 21,853 12,953 9,491 12,385 13,375 12,380 13,784 14,179 16,894 11,534 20,460 16,438 18,430 13,268 15,131 16,336 14,582 13,651 15,127 13,135 11,603 15,128 19,117 20,093 12,439 15,438 11,481 22,667 13,063 21,152 16,091 7,197 17,424 32,180 44,330 84,365 25,265 18,630 48,980 166,030 35,160 111,240 284,245 26,385 22,325 101,275 120,435 29,710 34,495 27,585 78,295 68,235 949,280 194,090 650,470 104,720 498,170 18,720 517,005 30,225 11,245 89,645 268,330 93,395 100,335 49,885 294,285 34,980 28,160



0.6 1,837,450 2.2 274,350 1.5 320,090 0.9 210,880 –0.2 1,032,130 2.6 2.2 7.9 0.6 2.9 7.3 4.9 8.3 3.3 8.1 3.3 5.7 5.8 6.6 7.3 2.7 9.4 10.0 1.4 0.9 3.1 –0.3 4.3 8.3 0.8 –0.6 0.7 4.8 5.0 6.3 5.7 3.9 11.4 1.0 6.7 1.7 20,655 29,635 59,625 17,595 10,020 32,330 105,815 22,415 71,995 182,060 18,000 13,030 66,365 81,915 17,810 19,590 14,590 46,615 44,465 616,550 125,830 424,960 65,760 327,320 9,975 320,375 19,795 6,775 57,115 177,540 66,290 61,270 34,680 193,780 21,360 15,630



..... ..... NE-IA. ..... ..... .....



Oxnard-Thousand Oaks-Ventura, CA . Palm Bay-Melbourne-Titusville, FL . . . Panama City-Lynn Haven, FL . . . . . . Parkersburg-Marietta-Vienna, WV-OH . Pascagoula, MS . . . . . . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL. . . . . Peoria, IL. . . . . . . . . . . . . . . . . . . Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . . . . . . . . Camden, NJ . . . . . . . . . . . . . . . Philadelphia, PA. . . . . . . . . . . . . Wilmington, DE-MD-NJ . . . . . . . . Phoenix-Mesa-Scottsdale, AZ . . . . .



............ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 23,154 . 3,357 . 17,902 . 1,895 . 8,583 . . . . . . . . . . . . 184 9,249 535 180 1,891 6,995 838 1,647 421 4,990 595 416



Pine Bluff, AR . . . . . . . . . . . . . . . . . . Pittsburgh, PA. . . . . . . . . . . . . . . . . . Pittsfield, MA . . . . . . . . . . . . . . . . . . Pocatello, ID. . . . . . . . . . . . . . . . . . . Portland-South Portland-Biddeford, ME . Portland-Vancouver-Beaverton, OR-WA.



Port St. Lucie-Fort Pierce, FL . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA Provo-Orem, UT . . . . . . . . . . . . . . . . . . Pueblo, CO . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



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153



Table B-6. Metropolitan Areas — Physicians, Community Hospitals, Medicare, Social Security, and SSI—Con.

Physicians, 20031 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Rate per 100,000 Numper- Number ber sons2 Punta Gorda, FL . Racine, WI . . . . . Raleigh-Cary, NC Rapid City, SD . . Reading, PA . . . . Redding, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 425 375 2,036 362 785 517 1,176 4,060 6,366 1,154 2,964 4,013 850 235 341 5,738 560 447 197 185 9,079 727 960 348 278 195 229 312 203 294 314 357 175 398 1,720 386 257 162 365 290 267 252 189 150 330 199 232 308 352 217 330 347 179 441 308 633 382 323 328 294 405 316 371 322 254 373 410 256 181 216 453 200 384 232 234 322 505 313 254 166 229 162 148 384 245 295 209 265 335 249 411 379 212 262 404 3 3 6 2 3 3 5 11 32 3 4 11 4 2 2 15 3 4 1 1 43 4 4 4 12 2 25 19 2 39 19 20 13 4 6 3 1 8 7 4 14 25 20 5 3 3 9 2 6 4 3 6 2 10 4 2 2 7 1 8 4 33 5 4 11 5 6 9 21 4 5 Community hospitals, 20033 Medicare program enrollment, 20034 Social security program beneficiaries, December 2004 Supplemental security income program recipients, 2004



Beds Rate per 100,000 perNumber sons2 722 438 1,739 491 978 492 1,017 3,369 6,150 1,265 1,374 3,050 886 431 500 3,584 1,108 850 196 460 9,802 520 637 598 2,036 385 5,037 5,827 373 10,934 5,351 5,583 3,334 366 900 368 246 824 1,899 1,120 2,140 5,247 4,188 1,059 392 607 2,235 468 1,218 786 626 1,312 1,023 1,810 1,432 392 253 1,080 236 1,958 833 8,387 583 575 2,778 750 1,296 2,034 2,915 665 958 472 227 196 423 253 280 271 296 169 436 797 293 267 298 535 181 529 478 188 374 356 143 154 529 202 364 277 200 473 263 218 329 192 145 223 146 180 176 299 367 387 167 174 143 345 528 590 327 613 248 239 304 500 263 373 274 181 171 223 300 254 331 344 437 421 331 359 228 331 342 521 Rate per 100,000 persons2 27,140 14,822 9,579 14,212 15,860 19,242 12,094 13,116 10,952 17,276 12,551 15,245 14,115 16,265 16,282 12,436 16,278 12,733 15,521 16,180 14,550 14,035 10,557 14,587 8,811 15,513 11,920 11,997 17,633 12,676 11,424 14,490 10,274 15,849 13,964 11,148 12,410 13,718 25,474 13,150 20,855 11,270 11,140 11,693 15,515 16,531 14,622 14,980 12,809 15,033 15,891 14,288 15,300 15,841 15,665 17,066 11,609 11,285 13,720 15,631 10,831 18,542 16,763 15,332 14,672 16,300 14,472 15,102 13,796 14,508 15,751 Rate per Percent 100,000 change, per2000– sons2 2004 34,104 16,896 11,381 16,746 18,384 22,072 14,282 15,514 12,717 20,059 14,727 17,798 16,782 19,001 19,572 13,534 19,298 14,130 18,708 18,787 16,773 16,167 11,937 16,996 10,305 17,641 13,885 12,881 19,138 12,808 12,044 13,914 10,407 17,776 15,270 12,369 14,496 15,246 27,674 15,331 23,737 12,600 12,268 13,675 17,630 18,618 16,714 16,520 14,823 17,261 18,980 16,167 17,927 17,827 18,060 18,988 13,371 12,847 16,661 18,115 12,828 21,217 19,268 17,685 16,342 18,036 15,774 17,142 16,307 18,003 17,930 3.8 3.3 11.3 6.2 3.3 7.3 12.8 5.4 7.5 4.5 6.8 2.7 5.5 2.7 2.8 6.6 3.4 6.4 15.7 –0.1 0.8 4.3 0.9 4.9 5.1 1.9 6.6 1.4 1.4 0.8 1.4 0.1 2.8 2.1 0.7 0.0 9.8 0.9 2.7 2.1 –0.7 3.5 2.5 6.5 2.3 3.3 2.4 –1.2 4.7 0.8 6.5 4.6 2.5 0.8 6.8 1.1 6.4 4.5 4.8 1.4 6.0 1.4 –1.1 4.0 0.3 1.5 0.1 6.3 4.9 5.7 5.9 Rate per 100,000 persons2 1,039 1,895 1,464 1,594 1,844 5,154 1,254 1,922 2,881 2,070 1,099 2,393 1,773 4,165 3,003 3,377 3,441 1,202 713 1,951 1,878 1,665 2,139 2,086 962 2,329 2,503 2,726 1,562 3,233 2,931 3,674 2,549 2,061 2,399 2,240 1,493 2,029 1,160 2,322 2,731 1,688 1,578 2,043 1,143 1,882 3,614 1,582 1,113 1,617 2,308 2,353 2,312 3,943 1,988 2,489 1,214 4,144 3,765 2,505 2,370 2,183 2,220 3,402 2,414 1,890 2,075 1,810 1,740 4,189 2,238



Percent change, 2000– Total 2003 41,473 28,541 85,016 16,486 61,325 33,800 45,320 149,328 399,208 50,139 21,630 158,696 46,764 23,523 15,212 245,669 34,090 22,627 16,219 19,916 400,667 51,191 43,750 16,500 88,603 16,387 216,513 350,167 13,908 526,857 280,877 245,980 177,959 40,110 56,246 28,062 16,964 64,105 161,625 40,120 115,273 354,128 267,541 86,587 17,618 19,015 55,367 21,436 25,453 47,718 41,603 61,613 31,300 108,877 60,220 24,374 16,231 71,307 14,509 102,118 35,472 469,339 28,423 20,191 96,759 36,974 52,272 134,558 121,391 28,204 28,959 6.2 3.0 11.0 6.9 1.2 7.7 12.7 5.1 7.6 3.3 7.2 2.8 4.6 4.1 3.3 8.3 2.3 6.2 15.6 –0.6 1.5 4.2 1.7 4.9 5.1 2.5 6.4 2.6 3.1 1.7 2.4 0.8 3.6 2.3 2.1 –0.8 11.5 1.1 2.5 2.5 –2.2 3.7 3.0 6.1 1.4 2.4 2.8 –0.7 4.9 0.1 6.0 4.5 1.8 1.3 7.1 0.6 5.3 5.0 6.6 2.0 6.6 0.9 –1.1 2.2 0.5 2.4 1.1 6.6 3.7 3.7 5.5



Number 52,115 32,535 101,005 19,425 71,085 38,770 53,520 176,625 463,525 58,215 25,380 185,275 55,600 27,480 18,285 267,360 40,415 25,110 19,550 23,125 461,890 58,965 49,470 19,225 103,625 18,635 252,195 375,965 15,095 532,340 296,135 236,205 180,255 44,985 61,505 31,135 19,815 71,245 175,580 46,775 131,200 395,905 294,645 101,260 20,020 21,415 63,285 23,640 29,455 54,790 49,690 69,715 36,675 122,525 69,425 27,120 18,695 81,180 17,620 118,345 42,010 537,040 32,670 23,290 107,770 40,910 56,975 152,730 143,490 35,000 32,965



Retired workers, number 38,905 21,110 62,375 12,095 49,790 22,630 36,230 111,585 290,775 36,470 17,855 122,415 36,150 15,370 10,910 167,300 23,505 15,640 13,840 14,465 289,550 39,590 31,505 12,930 67,300 11,405 147,130 246,510 9,875 356,460 190,815 165,645 122,430 29,940 40,190 20,155 12,780 46,965 129,855 27,840 85,525 261,375 199,625 61,750 14,010 13,615 36,760 15,050 19,470 37,040 28,770 43,560 23,275 76,025 41,945 16,120 12,630 48,075 10,155 75,175 26,390 357,410 19,760 13,120 66,035 26,280 38,370 98,635 89,505 18,130 20,750



Number 1,632 3,679 13,388 1,873 7,220 9,165 4,822 22,189 109,262 6,027 1,922 24,927 5,945 6,057 2,823 68,111 7,193 2,154 784 2,384 51,920 6,150 8,869 2,391 9,802 2,457 46,398 79,911 1,234 134,292 72,225 62,067 44,382 5,247 9,640 5,615 2,071 9,506 7,559 7,214 15,062 53,450 38,220 15,230 1,302 2,182 13,800 2,265 2,263 5,144 6,099 10,252 4,734 27,130 7,771 3,549 1,705 26,933 3,989 16,384 7,860 56,485 3,747 4,515 15,891 4,306 7,578 16,422 15,343 8,174 4,172



Reno-Sparks, NV . . . . . . . . . . . Richmond, VA. . . . . . . . . . . . . . Riverside-San Bernardino-Ontario, Roanoke, VA . . . . . . . . . . . . . . Rochester, MN . . . . . . . . . . . . . Rochester, NY . . . . . . . . . . . . .



... ... CA ... ... ...



Rockford, IL . . . . . . . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . Sacramento-Arden-Arcade-Roseville, CA . Saginaw-Saginaw Township North, MI. . . St. Cloud, MN. . . . . . . . . . . . . . . . . . . St. George, UT . . . St. Joseph, MO-KS St. Louis, MO-IL6 . Salem, OR . . . . . . Salinas, CA . . . . . Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Salt Lake City, UT . . . . . . . . . . . . . . San Angelo, TX. . . . . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA . Sandusky, OH . . . . . . . . . . . . . . . .



. 3,544 . 229 . 5,997 . 10,126 . 141 . 18,316 . 7,575 . 10,741 . 6,611 . 818 . 1,322 . . . . . . 739 553 1,479 2,352 983 1,404



San Francisco-Oakland-Fremont, CA . . . . . . Oakland-Fremont-Hayward, CA. . . . . . . . . . San Francisco-San Mateo-Redwood City, CA San Jose-Sunnyvale-Santa Clara, CA . . . . . . . San Luis Obispo-Paso Robles, CA . . . . . . . . . Santa Barbara-Santa Maria, CA . . . . . . . . . . . Santa Cruz-Watsonville, CA . . Santa Fe, NM . . . . . . . . . . . . Santa Rosa-Petaluma, CA . . . Sarasota-Bradenton-Venice, FL Savannah, GA . . . . . . . . . . . Scranton-Wilkes-Barre, PA . . . Seattle-Tacoma-Bellevue, WA Seattle-Bellevue-Everett, WA Tacoma, WA . . . . . . . . . . . Sheboygan, WI . . . . . . . . . . . Sherman-Denison, TX . . . . . . Shreveport-Bossier City, LA. . . Sioux City, IA-NE-SD . . . . . . . Sioux Falls, SD . . . . . . . . . . . South Bend-Mishawaka, IN-MI. Spartanburg, SC . . . . . . . . . . Spokane, WA . . . . . . . . . . . . Springfield, IL . . . . . . . . . . . . Springfield, MA . . Springfield, MO . . Springfield, OH . . State College, PA Stockton, CA . . . Sumter, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 11,729 . 9,836 . 1,893 . 205 . 248 . 1,714 . . . . . . . . . . . . . . . . . . . . . . . . 286 763 736 612 1,388 1,033 2,149 978 237 320 1,022 156 2,508 801 7,455 355 349 2,212 564 1,484 3,375 1,863 509 743



Syracuse, NY . . . . . . . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Terre Haute, IN . . . . . . . . . . . . . . . Texarkana, TX-Texarkana, AR . . . . . Toledo, OH. . . . . . . . . . . . . . . . . . Topeka, KS . . . . . Trenton-Ewing, NJ. Tucson, AZ . . . . . Tulsa, OK . . . . . . Tuscaloosa, AL . . . Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



154



State and Metropolitan Area Data Book: 2006

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Table B-6. Metropolitan Areas — Physicians, Community Hospitals, Medicare, Social Security, and SSI—Con.

Physicians, 20031 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Rate per 100,000 Numper- Number ber sons2 Utica-Rome, NY . . . . . . . . . . Valdosta, GA . . . . . . . . . . . . Vallejo-Fairfield, CA . . . . . . . . Vero Beach, FL. . . . . . . . . . . Victoria, TX . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 664 220 874 430 245 217 223 180 212 358 217 145 300 135 231 156 440 776 344 206 262 142 274 271 260 255 226 308 304 462 355 193 192 219 183 128 5 4 4 3 3 1 14 3 2 2 39 7 32 6 1 2 2 6 11 5 2 4 2 6 10 4 4 8 2 1 Community hospitals, 20033 Medicare program enrollment, 20034 Social security program beneficiaries, December 2004 Supplemental security income program recipients, 2004



Beds Rate per 100,000 perNumber sons2 1,138 486 525 766 656 457 3,018 736 825 231 9,342 1,684 7,658 709 253 576 193 1,036 1,997 479 438 890 444 1,901 1,634 513 727 1,902 213 277 382 398 128 637 581 306 186 188 376 192 184 149 194 438 199 448 190 690 343 322 369 303 402 435 211 226 184 321 144 162 Rate per 100,000 persons2 18,888 11,971 10,435 27,154 14,279 15,150 11,835 10,898 14,150 10,949 9,473 10,984 9,041 16,521 13,756 21,692 15,069 20,190 13,405 14,809 18,363 16,785 14,279 15,165 14,461 12,655 14,902 19,122 13,515 11,987 Rate per Percent 100,000 change, per2000– sons2 2004 21,614 14,666 12,006 30,217 16,881 17,361 13,799 13,071 16,146 12,655 10,081 11,340 9,721 18,966 16,485 24,280 17,368 23,237 15,384 16,871 20,809 20,329 17,063 17,426 16,304 14,707 17,605 21,611 15,445 14,241 –0.4 5.8 6.5 5.5 4.9 1.2 4.9 4.7 2.7 10.8 6.0 5.4 6.2 1.2 3.6 –0.7 6.0 –0.6 2.9 1.5 3.1 11.1 9.2 5.6 –0.5 3.4 7.1 –1.1 3.4 10.4 Rate per 100,000 persons2 3,074 3,059 2,480 1,143 2,463 3,080 1,816 4,359 2,436 1,951 1,306 1,111 1,362 1,881 1,439 2,838 1,546 2,878 1,556 2,170 2,808 2,218 1,691 1,784 2,430 2,399 1,525 2,677 4,746 1,663



Percent change, 2000– Total 2003 56,305 14,623 42,954 32,651 16,135 22,649 192,331 42,622 31,068 13,146 480,361 123,970 356,391 26,717 17,507 27,888 15,331 30,302 78,040 22,014 21,787 49,311 15,766 66,298 112,188 28,709 58,951 113,408 20,038 20,451 –0.9 5.6 8.8 2.4 4.9 2.1 5.8 4.1 2.3 12.4 7.0 6.6 7.1 1.1 3.4 –0.5 6.5 –0.3 2.3 0.7 1.7 11.2 9.8 6.0 0.2 3.2 6.2 –0.8 5.2 10.1



Number 64,430 17,915 49,420 36,335 19,075 25,955 224,235 51,120 35,450 15,195 511,194 127,995 383,199 30,670 20,980 31,215 17,670 34,875 89,560 25,080 24,690 59,720 18,840 76,180 126,480 33,365 69,645 128,170 22,900 24,295



Retired workers, number 40,280 10,025 29,845 26,305 11,045 16,035 137,870 29,935 21,560 8,795 343,848 90,585 253,263 20,000 13,940 17,515 12,335 20,705 58,535 15,450 16,210 37,940 12,250 50,440 80,890 21,680 48,010 78,145 13,260 15,735



Number 9,187 3,784 10,242 1,419 2,794 4,657 29,861 17,503 5,418 2,415 67,122 12,654 54,468 3,046 1,838 3,624 1,599 4,303 9,095 3,208 3,329 6,725 1,910 7,878 18,941 5,497 6,125 15,798 7,185 2,929



Virginia Beach-Norfolk-Newport News, VA-NC . . . . . Visalia-Porterville, CA. . . . . . . . . . . . . . . . . . . . . . Waco, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV . Bethesda-Gaithersburg-Frederick, MD . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV . Waterloo-Cedar Falls, IA. . . . Wausau, WI . . . . . . . . . . . . Weirton-Steubenville, WV-OH Wenatchee, WA . . . . . . . . . Wheeling, WV-OH . . . . . . . . Wichita, KS . . . . . . . . . . . . Wichita Falls, TX . . . Williamsport, PA . . . Wilmington, NC. . . . Winchester, VA-WV . Winston-Salem, NC . Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 4,870 . 527 . 507 . 187 . 22,334 . 8,762 . 13,572 . . . . . . . . . . . . . . . . . 333 333 182 279 406 1,515 379 268 904 336 2,018 2,753 438 758 1,296 272 219



Yakima, WA . . . . . . . . . . . . . . . . . . . York-Hanover, PA . . . . . . . . . . . . . . . Youngstown-Warren-Boardman, OH-PA. Yuba City, CA . . . . . . . . . . . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . . . . . . .

1 2 3



Active, nonfederal physicians as of December 31. Based on resident population estimated as of July 1 of the year shown. Nonfederal, short-term general, and other special hospitals except hospital units of institutions. 4 Unduplicated count of persons enrolled in either hospital and/or supplemental medical insurance as of July 1. 5 The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield city is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 6 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA. Note: Covers metropolitan statistical areas and metropolitan divisions as defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . Survey, Census, or Data Collection Method: For information about these data collections and surveys, see the following organizations and their Web sites: American Medical Association, Physician Characteristics and Distribution in the U.S. ; American Hospital Association (AHA) Hospital Statistics ; CMS Statistics, Medicare Enrollment, ; Social Security, OASDI Beneficiaries by State and County, ; and SSI Monthly Statistics, Supplemental Security Income, ; SSI Recipients by State and County, updated annually, . Sources: Physicians—American Medical Association, Chicago, IL, Physician Characteristics and Distribution in the U.S., annual (copyright) (accessed 13 May 2005); Hospitals—Health Forum LLC, an American Hospital Association (AHA) Company, Chicago, IL, Hospital Statistics, and unpublished data (copyright) (e-mail accessed 26 May 2005); Medicare program enrollment—Centers for Medicare and Medicaid Services, CMS Statistics: Medicare Enrollment (accessed 17 June 2005); Social security—U.S. Social Security Administration, Office of Research and Statistics, OASDI Beneficiaries by State and County (accessed 9 June 2005); Supplemental security income—U.S. Social Security Administration, Office of Research, Evaluation, and Statistics, SSI Recipients by State and County (accessed 6 June 2005).



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



155



Table B-7. Metropolitan Areas — Housing Units and Building Permits

Housing units Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division 2004 (July 1) Abilene, TX. . . . . . . . . . . . . Akron, OH . . . . . . . . . . . . . Albany, GA . . . . . . . . . . . . . Albany-Schenectady-Troy, NY Albuquerque, NM. . . . . . . . . Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,821 302,154 67,118 372,924 331,838 62,782 322,020 55,753 95,263 33,660 135,158 58,427 78,354 141,941 52,841 86,252 189,236 74,978 1,916,351 121,192 55,546 216,791 573,921 247,426 1,082,523 68,727 152,583 300,066 60,208 47,617 161,294 80,637 64,861 62,462 110,575 477,954 42,480 65,624 80,539 65,492 209,234 1,784,647 740,574 583,879 292,125 168,069 119,889 48,023 97,245 345,195 133,926 48,340 518,182 59,889 86,407 174,327 292,830 22,401 30,433 107,105 92,854 143,971 256,543 634,930 81,325 217,028 35,875 3,627,825 3,037,420 283,408 306,997 Housing 2000, percent Units per square mile of land New private housing units authorized by building permits



Change 2000–2004 20001 (estimates base) 65,216 290,976 63,755 363,740 305,840 60,569 307,269 55,061 91,594 30,630 127,697 56,939 73,213 130,974 51,322 78,372 175,331 67,542 1,644,587 114,090 50,329 204,600 496,004 231,567 1,048,046 66,847 147,083 282,511 58,691 46,423 156,697 73,897 54,583 60,057 110,227 454,338 39,591 62,755 75,752 59,972 181,170 1,751,585 729,198 576,681 287,144 158,562 111,440 44,454 92,644 339,466 119,654 44,861 511,583 55,461 82,718 170,040 245,405 21,283 29,882 99,054 88,139 141,666 232,957 546,423 73,869 205,322 34,213 3,462,286 2,906,717 269,570 285,999 1990 (April 1) 63,130 263,776 56,075 339,151 246,561 58,733 277,649 54,349 84,506 26,847 115,106 53,353 60,745 111,256 46,753 64,388 143,724 54,896 1,267,685 106,877 36,636 173,961 370,310 198,636 938,979 61,359 135,192 246,833 55,619 44,234 149,807 55,742 35,928 53,609 108,223 397,184 33,270 55,104 63,296 49,164 124,937 1,654,580 694,647 543,796 271,977 144,160 94,621 36,074 74,038 324,355 88,759 36,404 492,516 45,312 73,480 158,446 189,051 16,628 29,082 84,848 80,761 133,124 199,879 415,715 58,995 181,276 30,507 3,147,530 2,668,471 244,514 234,545 Percent 2.5 3.8 5.3 2.5 8.5 3.7 4.8 1.3 4.0 9.9 5.8 2.6 7.0 8.4 3.0 10.1 7.9 11.0 16.5 6.2 10.4 6.0 15.7 6.8 3.3 2.8 3.7 6.2 2.6 2.6 2.9 9.1 18.8 4.0 0.3 5.2 7.3 4.6 6.3 9.2 15.5 1.9 1.6 1.2 1.7 6.0 7.6 8.0 5.0 1.7 11.9 7.8 1.3 8.0 4.5 2.5 19.3 5.3 1.8 8.1 5.3 1.6 10.1 16.2 10.1 5.7 4.9 4.8 4.5 5.1 7.3



Number 1,605 11,178 3,363 9,184 25,998 2,213 14,751 692 3,669 3,030 7,461 1,488 5,141 10,967 1,519 7,880 13,905 7,436 271,764 7,102 5,217 12,191 77,917 15,859 34,477 1,880 5,500 17,555 1,517 1,194 4,597 6,740 10,278 2,405 348 23,616 2,889 2,869 4,787 5,520 28,064 33,062 11,376 7,198 4,981 9,507 8,449 3,569 4,601 5,729 14,272 3,479 6,599 4,428 3,689 4,287 47,425 1,118 551 8,051 4,715 2,305 23,586 88,507 7,456 11,706 1,662 165,539 130,703 13,838 20,998



2004 24.3 333.8 34.7 132.4 35.7 31.9 220.7 106.0 26.0 58.8 5.1 129.2 109.1 199.9 86.8 89.8 93.1 72.7 228.8 216.0 91.3 66.1 135.9 30.4 414.9 20.2 385.8 74.5 85.0 107.2 74.9 38.0 21.5 13.3 90.2 90.2 11.9 61.0 61.0 55.3 17.8 508.9 661.8 709.1 583.5 158.0 161.5 56.6 245.6 551.6 147.9 37.2 330.7 139.3 68.6 179.6 364.4 156.3 5.7 53.3 48.3 56.9 99.0 204.9 49.3 103.9 13.4 503.0 658.2 151.0 426.2



Home ownership 1990 rate 58.3 66.4 55.6 58.5 62.4 62.5 66.7 68.2 61.3 55.9 57.3 69.1 68.4 57.1 64.0 71.2 64.9 53.1 63.1 55.3 56.4 62.9 55.4 56.0 62.2 60.6 50.2 63.0 67.3 75.1 64.1 55.3 60.4 65.0 61.6 65.3 66.4 57.4 56.4 62.9 67.5 58.4 54.2 60.1 61.0 67.1 61.9 59.9 62.9 66.1 55.0 58.1 60.6 65.2 63.0 68.4 58.8 59.8 62.8 70.0 55.4 67.5 59.4 63.1 58.8 64.7 64.4 61.8 60.3 66.7 72.4



Units in multiunit structures 25.3 26.1 37.2 40.4 33.0 29.2 24.2 26.3 27.8 40.2 37.4 20.4 30.3 39.0 29.1 24.7 31.7 43.0 31.1 36.3 48.8 32.7 39.1 28.9 26.6 36.8 13.4 32.5 26.5 22.2 26.1 36.1 26.9 31.3 38.0 30.7 38.7 37.2 38.7 33.9 25.2 47.1 52.0 46.6 43.1 33.2 31.9 35.8 30.0 34.9 36.7 40.6 40.2 30.7 34.0 23.4 45.2 39.5 29.3 26.5 37.2 29.8 36.2 30.2 27.7 29.0 29.9 42.6 46.1 25.2 24.0



Cumulative 2000– 2003 period 1,380 12,396 2,982 11,916 25,656 2,004 16,837 1,164 3,543 2,796 8,199 1,751 5,165 8,945 991 7,944 13,361 7,003 267,199 7,615 4,020 12,292 72,106 16,886 44,836 2,086 6,122 16,907 1,751 1,438 4,196 6,926 10,105 2,675 1,331 22,392 3,088 2,849 3,725 5,800 27,655 47,961 18,222 12,378 7,570 9,791 9,246 3,224 4,938 8,341 13,566 3,256 11,341 4,469 4,030 5,367 46,900 1,199 609 7,074 5,095 1,762 23,446 81,349 7,607 11,613 1,821 187,013 150,464 14,960 21,589



2003 221 3,190 907 3,222 7,936 580 4,376 362 1,050 744 2,547 581 1,384 2,527 163 1,741 3,269 1,956 66,377 2,285 1,167 3,592 15,317 5,813 11,133 638 1,228 5,351 394 438 1,384 2,320 3,145 911 378 6,673 953 773 1,176 1,643 7,724 14,041 5,674 3,388 2,058 2,921 1,428 1,046 1,460 1,964 3,444 838 2,925 1,163 956 1,556 15,675 203 174 1,815 1,373 461 7,394 18,833 2,008 3,266 779 49,954 39,695 4,407 5,852



2002 188 2,634 684 3,225 7,022 534 4,563 321 920 878 2,196 441 1,554 2,333 233 2,163 3,768 2,262 68,359 2,020 1,316 3,555 17,201 4,509 10,991 533 1,393 4,273 462 361 897 1,537 2,533 712 390 5,309 864 912 1,043 1,698 6,999 11,030 4,120 2,841 1,597 2,472 1,717 739 1,229 1,879 3,917 963 2,960 1,411 1,122 1,400 11,146 336 150 1,776 1,579 479 5,981 19,270 2,636 2,934 478 49,198 40,447 3,418 5,333



23.0 291.4 29.0 120.4 26.5 29.8 190.0 103.4 23.1 46.9 4.4 118.0 84.6 156.7 76.8 67.1 70.7 53.2 151.3 190.5 60.2 53.0 87.6 24.4 359.9 18.1 341.6 61.2 78.5 99.6 69.5 26.3 11.9 11.4 88.3 75.0 9.3 51.2 47.9 41.5 10.6 472.1 620.9 660.3 546.1 135.5 127.4 42.5 187.0 518.3 98.0 28.0 314.2 105.2 58.4 163.2 235.3 115.8 5.4 42.2 42.0 52.6 77.1 134.1 35.8 86.7 11.4 436.3 577.9 130.3 325.5



Allentown-Bethlehem-Easton, PA-NJ . Altoona, PA . . . . . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . . Anderson, IN . . . . . . . . . . . . . . . . Anderson, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . Anniston-Oxford, AL . . . . . Appleton, WI . . . . . . . . . . Asheville, NC . . . . . . . . . Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Atlanta-Sandy Springs-Marietta, GA Atlantic City, NJ . . . . . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . Augusta-Richmond County, GA-SC . Austin-Round Rock, TX. . . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Baltimore-Towson, MD Bangor, ME . . . . . . . Barnstable Town, MA . Baton Rouge, LA . . . . Battle Creek, MI . . . . Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Beaumont-Port Arthur, TX Bellingham, WA. . . . . . . Bend, OR . . . . . . . . . . . Billings, MT. . . . . . . . . . Binghamton, NY . . . . . . Birmingham-Hoover, AL .



Bismarck, ND . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA Bloomington, IN. . . . . . . . . . . . . . . . Bloomington-Normal, IL. . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . .



Boston-Cambridge-Quincy, MA-NH . . . . . Boston-Quincy, MA . . . . . . . . . . . . . . . . Cambridge-Newton-Framingham, MA . . . . Essex County, MA . . . . . . . . . . . . . . . . Rockingham County-Strafford County, NH. Boulder, CO2 . . . . . . . . . . . . . . . . . . . . . Bowling Green, KY. . . . . . . . . . Bremerton-Silverdale, WA . . . . . Bridgeport-Stamford-Norwalk, CT Brownsville-Harlingen, TX . . . . . Brunswick, GA . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . . Burlington, NC. . . . . . . . . . . . Burlington-South Burlington, VT Canton-Massillon, OH. . . . . . . Cape Coral-Fort Myers, FL . . . Carson City, NV. . . . . . . . . . . Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Cedar Rapids, IA . . . . . . . . . . . . . . Champaign-Urbana, IL . . . . . . . . . . Charleston, WV . . . . . . . . . . . . . . . Charleston-North Charleston, SC . . . Charlotte-Gastonia-Concord, NC-SC . Charlottesville, VA . . . . . . . . . . . . .



Chattanooga, TN-GA . . . . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI . . Chicago-Naperville-Joliet, IL . . . . . . Gary, IN . . . . . . . . . . . . . . . . . . . Lake County-Kenosha County, IL-WI See footnotes at end of table.



156



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-7. Metropolitan Areas — Housing Units and Building Permits—Con.

Housing units Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division 2004 (July 1) Chico, CA. . . . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN Clarksville, TN-KY . . . . . . . . . . Cleveland, TN . . . . . . . . . . . . . Cleveland-Elyria-Mentor, OH . . . Coeur d’Alene, ID . . . . . . . . . . College Station-Bryan, TX . Colorado Springs, CO. . . . Columbia, MO . . . . . . . . . Columbia, SC . . . . . . . . . Columbus, GA-AL . . . . . . Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90,310 880,073 100,234 46,828 931,197 52,411 82,466 238,861 67,545 290,545 122,518 30,727 743,500 167,923 33,969 45,768 2,201,825 1,472,450 729,375 48,854 36,710 52,321 162,207 374,764 64,711 51,380 230,718 988,683 219,876 1,864,404 834,620 1,029,784 62,299 56,304 37,326 133,828 200,646 65,325 47,775 46,810 75,012 38,033 240,600 116,307 144,372 154,784 33,780 80,602 44,359 139,833 163,309 57,224 193,626 82,873 67,468 41,102 119,416 119,973 85,065 172,293 286,072 47,397 108,888 58,848 63,753 49,510 42,556 54,539 309,632 35,568 83,132 128,697 296,729 73,448 Housing 2000, percent Units per square mile of land New private housing units authorized by building permits



Change 2000–2004 20001 (estimates base) 85,523 833,075 92,024 44,189 911,329 46,607 75,094 212,790 61,024 269,244 115,747 29,853 680,457 160,753 31,980 45,078 1,997,943 1,332,518 665,425 45,063 36,350 51,119 158,528 364,407 62,397 50,241 211,938 876,377 199,394 1,797,185 826,145 971,040 59,723 50,481 35,508 129,877 180,022 60,295 43,891 43,532 69,791 37,745 224,447 114,322 138,954 147,763 33,291 73,536 43,221 130,943 144,435 53,443 183,635 80,778 65,404 39,271 105,392 115,381 78,593 162,420 270,767 45,959 101,019 51,056 61,646 47,313 41,381 48,718 293,084 35,225 66,165 118,235 275,027 65,733 1990 (April 1) 76,115 732,567 70,330 35,221 858,921 31,964 63,181 172,621 48,720 215,346 103,609 25,432 569,758 147,341 27,024 43,443 1,672,538 1,104,094 568,444 39,039 37,061 46,158 152,831 342,217 52,631 50,049 180,972 734,643 171,122 1,666,039 832,710 833,329 50,668 42,106 32,053 128,355 145,583 53,765 36,559 37,199 60,182 37,290 187,473 108,585 116,676 137,264 31,823 60,953 34,248 106,359 101,302 42,914 170,808 66,810 55,334 34,548 77,811 98,903 62,569 143,703 235,563 41,787 83,093 38,315 55,953 39,483 41,360 39,208 253,364 33,063 51,138 101,116 226,103 49,014 Percent 5.6 5.6 8.9 6.0 2.2 12.5 9.8 12.3 10.7 7.9 5.8 2.9 9.3 4.5 6.2 1.5 10.2 10.5 9.6 8.4 1.0 2.4 2.3 2.8 3.7 2.3 8.9 12.8 10.3 3.7 1.0 6.0 4.3 11.5 5.1 3.0 11.5 8.3 8.8 7.5 7.5 0.8 7.2 1.7 3.9 4.8 1.5 9.6 2.6 6.8 13.1 7.1 5.4 2.6 3.2 4.7 13.3 4.0 8.2 6.1 5.7 3.1 7.8 15.3 3.4 4.6 2.8 11.9 5.6 1.0 25.6 8.8 7.9 11.7



Number 4,787 46,998 8,210 2,639 19,868 5,804 7,372 26,071 6,521 21,301 6,771 874 63,043 7,170 1,989 690 203,882 139,932 63,950 3,791 360 1,202 3,679 10,357 2,314 1,139 18,780 112,306 20,482 67,219 8,475 58,744 2,576 5,823 1,818 3,951 20,624 5,030 3,884 3,278 5,221 288 16,153 1,985 5,418 7,021 489 7,066 1,138 8,890 18,874 3,781 9,991 2,095 2,064 1,831 14,024 4,592 6,472 9,873 15,305 1,438 7,869 7,792 2,107 2,197 1,175 5,821 16,548 343 16,967 10,462 21,702 7,715



2004 55.1 200.1 46.4 61.3 464.6 42.1 39.2 89.0 58.7 78.5 63.3 75.5 186.6 94.4 50.2 60.8 244.9 263.5 214.5 77.0 40.8 51.6 71.5 219.4 50.7 88.5 209.1 118.3 76.4 476.3 1,359.0 312.1 36.3 95.5 61.4 15.9 113.7 39.6 11.4 52.5 161.7 93.2 237.5 145.0 31.7 67.6 4.6 28.7 8.0 133.9 51.5 3.1 302.7 60.9 53.4 56.9 45.9 30.0 90.9 126.4 48.0 88.6 89.0 149.5 37.4 89.6 12.5 16.4 109.5 13.2 20.8 68.8 148.1 80.1



Home ownership 1990 rate 56.5 62.9 57.1 65.0 63.7 66.0 46.1 61.5 54.8 63.9 53.7 69.5 59.0 55.7 54.0 64.3 56.7 55.1 59.8 65.8 66.0 62.1 67.7 62.4 69.1 66.4 65.6 64.0 67.3 68.6 62.0 74.2 64.7 65.5 69.7 64.9 55.3 65.4 52.3 62.7 68.5 64.0 59.5 64.5 58.4 66.5 48.3 56.1 65.7 55.2 60.9 46.5 67.7 67.2 66.4 68.6 62.4 63.8 55.9 67.5 52.8 67.4 51.9 66.0 56.2 58.8 54.6 68.8 67.9 59.9 65.6 63.4 62.4 54.0



Units in multiunit structures 36.8 33.6 28.1 31.7 30.8 27.8 46.2 29.6 39.5 34.5 32.9 23.8 33.3 30.8 37.0 25.0 36.3 38.1 32.7 37.9 22.9 29.2 24.6 26.1 30.0 21.9 33.5 32.2 27.9 25.3 26.6 24.1 31.3 33.2 29.1 24.9 37.0 29.1 38.4 32.6 28.4 33.0 31.7 32.8 34.0 26.8 39.5 43.4 42.8 31.9 28.7 36.8 24.7 37.2 25.3 27.3 27.8 27.5 32.8 25.2 31.5 24.2 48.6 28.0 26.3 37.6 38.5 28.8 29.9 33.6 29.8 29.3 30.8 47.0



Cumulative 2000– 2003 period 5,182 50,733 7,276 2,264 27,554 5,769 6,553 26,466 6,373 21,276 6,823 849 64,622 6,922 1,867 983 198,805 137,368 61,437 3,559 262 1,254 4,727 12,823 1,550 1,505 19,459 94,975 17,567 75,813 18,823 56,990 1,938 5,495 1,820 4,584 20,106 5,123 4,052 3,075 5,131 643 15,622 2,831 5,874 6,817 734 7,258 989 8,522 17,116 3,614 10,420 1,998 1,341 1,993 13,227 3,331 6,613 10,275 16,514 1,232 8,091 7,569 2,509 1,972 1,402 5,528 17,080 587 17,044 10,779 21,663 7,285



2003 1,769 13,181 2,133 725 7,040 1,837 1,884 5,449 2,101 6,439 1,991 283 16,423 1,997 439 217 52,813 35,649 17,164 859 70 328 1,279 4,109 429 526 6,416 17,359 5,502 19,900 5,638 14,262 455 2,167 541 1,349 5,103 1,162 1,201 957 1,175 145 5,271 769 1,534 1,904 257 2,266 367 2,267 6,287 1,189 2,240 251 442 484 3,003 914 1,749 2,631 5,753 335 1,763 1,830 778 690 674 1,589 4,284 201 3,963 3,111 4,816 1,736



2002 1,186 12,820 1,687 525 6,803 1,414 1,839 7,062 1,798 5,198 1,437 131 17,115 1,981 369 208 51,520 34,376 17,144 716 62 262 1,301 3,246 409 393 4,940 22,336 4,864 19,034 4,842 14,192 403 1,452 497 1,091 4,696 1,370 1,021 799 1,606 141 3,710 643 1,625 1,778 170 2,159 280 2,836 3,996 865 2,403 701 326 529 3,036 997 1,936 2,913 3,837 328 1,884 1,919 736 433 371 1,370 4,633 120 4,411 2,800 5,668 1,880



46.4 166.5 32.5 46.1 428.4 25.7 30.0 64.3 42.3 58.2 53.5 62.5 143.0 82.8 39.9 57.7 186.0 197.5 167.1 61.5 41.2 45.5 67.4 200.3 41.3 86.2 163.6 87.9 59.4 425.6 1,355.9 252.5 29.5 71.3 52.7 15.3 82.4 32.6 8.8 41.7 129.7 91.4 185.1 135.4 25.6 59.9 4.3 21.7 6.2 101.8 32.0 2.3 267.0 49.1 43.8 47.8 29.9 24.7 66.9 105.4 39.5 78.1 67.9 97.3 32.8 71.4 12.1 11.8 89.6 12.3 12.8 54.1 112.8 53.4



Columbus, OH . . . . . . . . . . Corpus Christi, TX . . . . . . . . Corvallis, OR . . . . . . . . . . . Cumberland, MD-WV . . . . . . Dallas-Fort Worth-Arlington, Dallas-Plano-Irving, TX . . . Fort Worth-Arlington, TX . .



... ... ... ... TX . ... ...



Dalton, GA . . . . . . . . . . . . . . . . . Danville, IL . . . . . . . . . . . . . . . . . Danville, VA . . . . . . . . . . . . . . . . Davenport-Moline-Rock Island, IA-IL Dayton, OH . . . . . . . . . . . . . . . . Decatur, AL . . . . . . . . . . . . . . . .



Decatur, IL . . . . . . . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, FL Denver-Aurora, CO2 . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . . . . . . . . . . . Detroit-Warren-Livonia, MI. . . . . . . . . . . Detroit-Livonia-Dearborn, MI . . . . . . . . . Warren-Farmington Hills-Troy, MI. . . . . . Dothan, AL . . . Dover, DE . . . Dubuque, IA . . Duluth, MN-WI Durham, NC . . Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



El Centro, CA . . . . Elizabethtown, KY . Elkhart-Goshen, IN. Elmira, NY . . . . . . El Paso, TX . . . . . Erie, PA . . . . . . . .



Eugene-Springfield, OR Evansville, IN-KY . . . . . Fairbanks, AK . . . . . . . Fargo, ND-MN. . . . . . . Farmington, NM. . . . . . Fayetteville, NC . . . . . .



Fayetteville-Springdale-Rogers, AR-MO . Flagstaff, AZ . . . . . . . . . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Florence, SC. . . . . . . . . . . . . . . . . . . Florence-Muscle Shoals, AL. . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Fort Wayne, IN . . . . . . . . . . . . . . . . . Fresno, CA . . . . . . . . . . . . . . . . . . . . Gadsden, AL. . . . . . . . . . . . . . . . . . . Gainesville, FL . . . . Gainesville, GA . . . . Glens Falls, NY . . . . Goldsboro, NC . . . . Grand Forks, ND-MN Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Grand Rapids-Wyoming, MI . Great Falls, MT . . . . . . . . . Greeley, CO2 . . . . . . . . . . Green Bay, WI . . . . . . . . . Greensboro-High Point, NC . Greenville, NC. . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



157



Table B-7. Metropolitan Areas — Housing Units and Building Permits—Con.

Housing units Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division 2004 (July 1) Greenville, SC. . . . . . . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . . Hagerstown-Martinsburg, MD-WV . Hanford-Corcoran, CA . . . . . . . . Harrisburg-Carlisle, PA . . . . . . . . Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255,791 115,113 103,326 39,216 224,981 43,739 483,173 52,333 153,626 27,719 95,536 325,775 46,100 78,452 1,987,809 131,302 156,942 40,220 708,938 60,006 40,016 66,354 208,815 47,478 527,288 60,330 65,520 60,153 85,356 66,067 48,555 70,711 140,764 42,350 822,608 78,789 133,110 141,627 79,846 293,060 46,086 54,077 77,243 104,169 86,351 246,661 188,486 192,283 62,825 70,400 683,244 44,032 45,976 51,629 25,785 47,198 189,984 44,863 118,208 278,356 36,403 83,184 40,261 4,329,148 3,319,806 1,009,342 524,401 111,395 103,367 99,229 43,897 232,911 Housing 2000, percent Units per square mile of land New private housing units authorized by building permits



Change 2000–2004 20001 (estimates base) 239,037 106,051 93,961 36,563 217,025 41,010 471,877 50,453 144,866 26,209 86,856 315,988 44,953 74,973 1,799,627 129,864 147,185 36,771 644,873 54,374 38,625 62,906 196,546 44,379 475,043 55,726 62,187 56,729 81,913 65,796 46,184 67,468 133,225 40,610 767,761 72,047 122,159 136,277 77,656 276,142 44,452 51,647 70,836 98,367 81,331 226,376 179,990 181,844 55,206 65,210 559,784 40,251 45,416 49,320 25,314 45,960 175,262 44,245 110,645 261,917 32,907 81,146 38,624 4,240,390 3,270,906 969,484 492,296 103,797 98,057 94,063 40,387 212,662 1990 (April 1) 190,711 88,522 79,590 30,843 196,855 33,514 450,082 43,881 121,418 19,414 66,624 281,683 37,966 66,748 1,556,545 121,397 119,310 31,402 535,871 45,076 35,338 57,979 172,127 36,753 390,335 47,526 54,840 48,399 67,233 67,374 38,705 57,938 120,485 37,001 688,078 58,541 101,120 116,762 71,716 228,128 40,247 45,496 60,398 85,023 71,457 186,225 156,462 165,018 37,197 49,148 317,188 31,782 43,589 44,634 21,982 43,815 145,229 42,758 92,642 223,788 25,293 76,668 33,304 4,038,415 3,163,343 875,072 432,135 95,082 84,018 82,512 30,831 175,329 Percent 7.0 8.5 10.0 7.3 3.7 6.7 2.4 3.7 6.0 5.8 10.0 3.1 2.6 4.6 10.5 1.1 6.6 9.4 9.9 10.4 3.6 5.5 6.2 7.0 11.0 8.3 5.4 6.0 4.2 0.4 5.1 4.8 5.7 4.3 7.1 9.4 9.0 3.9 2.8 6.1 3.7 4.7 9.0 5.9 6.2 9.0 4.7 5.7 13.8 8.0 22.1 9.4 1.2 4.7 1.9 2.7 8.4 1.4 6.8 6.3 10.6 2.5 4.2 2.1 1.5 4.1 6.5 7.3 5.4 5.5 8.7 9.5



Number 16,754 9,062 9,365 2,653 7,956 2,729 11,296 1,880 8,760 1,510 8,680 9,787 1,147 3,479 188,182 1,438 9,757 3,449 64,065 5,632 1,391 3,448 12,269 3,099 52,245 4,604 3,333 3,424 3,443 271 2,371 3,243 7,539 1,740 54,847 6,742 10,951 5,350 2,190 16,918 1,634 2,430 6,407 5,802 5,020 20,285 8,496 10,439 7,619 5,190 123,460 3,781 560 2,309 471 1,238 14,722 618 7,563 16,439 3,496 2,038 1,637 88,758 48,900 39,858 32,105 7,598 5,310 5,166 3,510 20,249



2004 127.8 76.6 102.5 28.2 138.1 50.3 319.0 32.5 93.8 30.1 168.9 543.2 68.1 33.5 222.6 75.1 114.3 13.6 183.5 50.7 84.1 93.9 56.0 56.2 163.7 78.7 90.9 26.7 100.0 96.0 33.1 55.8 120.0 62.6 104.7 26.7 47.1 70.4 70.9 157.8 83.3 53.5 60.4 103.2 36.2 131.6 198.6 112.6 18.7 18.5 86.4 96.4 43.0 142.7 17.4 100.4 128.5 110.9 83.6 68.1 19.9 46.6 35.4 892.6 817.5 1,278.6 126.8 61.9 48.7 57.5 20.6 85.1



Home ownership 1990 rate 63.9 58.6 63.5 52.6 65.0 60.7 62.7 61.6 68.7 46.5 76.0 49.4 59.9 69.6 56.1 65.5 65.2 72.0 62.4 57.1 50.7 70.7 64.2 63.5 61.5 50.2 67.1 66.3 65.3 68.8 59.2 64.0 62.9 65.3 63.8 64.0 51.9 69.2 59.1 64.3 67.8 64.4 56.1 62.9 64.1 60.7 67.9 63.8 60.4 61.6 54.1 49.6 52.9 68.7 63.7 58.0 56.0 66.2 58.1 61.3 62.6 64.2 62.8 48.9 45.8 59.2 65.3 54.4 68.0 59.1 59.3 57.3



Units in multiunit structures 33.8 33.2 28.6 24.7 28.1 30.6 36.1 34.3 32.3 47.9 24.1 45.3 32.3 28.2 36.7 28.2 28.4 25.4 28.2 40.8 47.2 23.5 29.6 28.6 34.7 37.2 24.2 28.7 33.3 22.0 28.8 23.5 31.3 27.7 25.7 37.6 33.5 28.7 29.3 28.8 22.4 34.1 34.7 34.3 31.9 44.0 25.0 30.5 30.2 43.8 42.5 38.9 23.5 24.2 29.7 46.3 33.6 23.4 33.5 32.1 29.1 29.1 31.4 42.2 43.9 36.6 28.5 31.7 27.6 33.3 20.3 38.2



Cumulative 2000– 2003 period 17,349 7,165 9,605 2,823 9,264 2,751 14,752 1,168 8,116 1,296 8,715 10,090 472 3,254 177,297 960 6,895 3,545 64,409 5,337 1,590 3,623 12,005 2,898 53,614 4,172 3,644 2,542 2,595 875 2,086 2,060 7,729 1,981 57,071 7,059 9,865 4,605 2,773 15,235 1,792 2,594 6,381 5,258 4,547 21,062 9,521 10,347 7,098 4,956 121,819 3,848 604 2,677 609 1,509 14,917 925 8,061 14,426 3,322 1,129 1,842 114,794 72,619 42,175 7,485 5,320 5,295 3,645 21,119



2003 4,469 1,962 2,832 1,017 2,831 728 4,137 133 1,619 336 2,451 3,473 129 1,053 56,571 179 2,397 1,183 15,784 1,555 336 831 3,569 761 15,821 1,048 988 496 944 237 690 599 2,462 671 14,935 2,249 2,675 1,250 805 3,899 403 680 1,519 1,574 1,458 6,823 2,690 3,156 1,671 1,767 36,732 1,060 162 744 155 508 3,975 284 2,498 4,098 988 332 436 30,151 20,903 9,248 (X) 2,956 1,421 1,871 1,227 6,117



2002 4,305 1,577 2,907 701 2,386 793 3,846 451 1,875 406 1,975 2,673 125 794 47,088 212 1,659 932 16,388 1,331 399 928 3,438 684 14,361 1,042 972 655 747 213 533 476 1,710 468 13,976 2,247 2,968 1,306 848 4,163 500 624 1,432 1,556 986 4,972 2,548 2,406 1,805 1,213 29,156 948 162 810 143 378 3,934 190 1,998 4,536 731 321 481 28,250 16,454 11,796 (X) 1,873 1,458 1,040 981 4,938



95.3 58.9 78.9 22.2 120.8 38.6 297.1 27.2 74.1 21.1 117.8 469.3 56.0 28.5 174.3 69.4 86.9 10.6 138.7 38.1 74.2 82.0 46.2 43.5 121.2 62.0 76.1 21.5 78.8 97.9 26.4 45.8 102.7 54.6 87.6 19.9 35.8 58.0 63.7 122.9 72.7 45.0 47.2 84.2 30.0 99.3 164.8 96.7 11.1 12.9 40.1 69.6 40.8 123.4 14.8 93.2 98.2 105.7 65.5 54.7 13.8 42.9 29.2 832.7 779.2 1,108.1 104.5 52.8 39.5 47.8 14.4 64.0



Hartford-West Hartford-East Hartford, CT . Hattiesburg, MS. . . . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . . Holland-Grand Haven, MI . . . . . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . . . . . Hot Springs, AR. . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA Houston-Sugar Land-Baytown, TX . Huntington-Ashland, WV-KY-OH . . . Huntsville, AL . . . . . . . . . . . . . . . Idaho Falls, ID. . . . . . . . . . . . . . . Indianapolis, IN . Iowa City, IA . . . Ithaca, NY . . . . Jackson, MI . . . Jackson, MS . . . Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Jacksonville, FL. . . Jacksonville, NC . . Janesville, WI . . . . Jefferson City, MO . Johnson City, TN . . Johnstown, PA . . .



Jonesboro, AR . . . . . . . . . . . . Joplin, MO . . . . . . . . . . . . . . . Kalamazoo-Portage, MI . . . . . . Kankakee-Bradley, IL . . . . . . . . Kansas City, MO-KS. . . . . . . . . Kennewick-Richland-Pasco, WA . Killeen-Temple-Fort Hood, TX . Kingsport-Bristol-Bristol, TN-VA Kingston, NY. . . . . . . . . . . . . Knoxville, TN . . . . . . . . . . . . Kokomo, IN . . . . . . . . . . . . . La Crosse, WI-MN . . . . . . . . . Lafayette, IN . . . . . . . . . Lafayette, LA . . . . . . . . Lake Charles, LA . . . . . . Lakeland, FL. . . . . . . . . Lancaster, PA . . . . . . . . Lansing-East Lansing, MI Laredo, TX . . . . . . . . . . Las Cruces, NM . . . . . . Las Vegas-Paradise, NV . Lawrence, KS . . . . . . . . Lawton, OK . . . . . . . . . Lebanon, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Lewiston, ID-WA . . . . . . . . . . . Lewiston-Auburn, ME . . . . . . . . Lexington-Fayette, KY . . . . . . . Lima, OH . . . . . . . . . . . . . . . . Lincoln, NE. . . . . . . . . . . . . . . Little Rock-North Little Rock, AR.



Logan, UT-ID . . . . . . . . . . . . . . . . . . . . Longview, TX . . . . . . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Los Angeles-Long Beach-Glendale, CA . Santa Ana-Anaheim-Irvine, CA . . . . . . . Louisville, KY-IN Lubbock, TX . . . Lynchburg, VA. . Macon, GA . . . . Madera, CA . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



158



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-7. Metropolitan Areas — Housing Units and Building Permits—Con.

Housing units Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division 2004 (July 1) Manchester-Nashua, NH . . . . Mansfield, OH . . . . . . . . . . . McAllen-Edinburg-Mission, TX Medford, OR . . . . . . . . . . . . Memphis, TN-MS-AR . . . . . . Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157,453 54,698 222,809 82,297 518,296 75,110 2,294,911 782,384 906,877 605,650 47,158 49,013 637,701 1,265,792 44,351 172,738 163,880 73,296 62,081 151,297 51,265 56,815 45,724 52,441 72,069 140,628 51,326 174,564 594,091 345,094 563,028 7,238,782 914,028 994,466 824,179 4,506,109 75,444 113,666 140,344 96,405 50,577 162,948 497,594 93,039 334,009 786,786 69,258 49,868 264,339 243,652 86,013 75,168 63,278 186,802 158,426 2,342,807 473,962 1,596,115 272,730 1,527,894 44,197 1,096,567 67,146 33,105 245,624 844,347 179,702 239,906 93,254 667,992 125,226 63,972 Housing 2000, percent Units per square mile of land New private housing units authorized by building permits



Change 2000–2004 20001 (estimates base) 149,961 53,062 192,658 75,737 480,841 68,373 2,149,890 741,043 852,414 556,433 45,621 48,060 618,245 1,169,776 41,319 165,101 150,807 71,027 56,471 144,635 50,139 53,744 42,681 51,032 68,556 122,085 48,554 144,536 543,271 340,732 548,629 7,091,153 875,255 980,474 804,577 4,430,847 73,445 110,674 122,663 91,047 49,500 146,726 472,084 86,652 311,587 683,551 64,721 46,424 251,711 222,072 78,435 74,025 59,191 173,766 153,285 2,281,823 456,043 1,565,640 260,140 1,331,385 43,139 1,078,481 66,301 31,946 233,323 790,876 156,733 228,857 81,730 656,755 107,126 58,926 1990 (April 1) 135,622 50,350 128,241 60,376 415,777 58,410 1,861,613 628,660 771,288 461,665 42,268 45,181 562,031 1,015,235 33,466 151,220 132,027 65,604 48,312 121,546 43,700 42,185 33,580 48,793 61,962 89,960 44,199 94,165 437,463 327,079 533,488 6,638,677 781,098 927,609 763,901 4,166,069 69,532 104,461 94,567 85,537 48,789 115,309 430,605 66,464 275,262 524,197 56,123 42,163 228,478 185,150 65,999 69,301 52,205 145,061 144,491 2,133,715 415,840 1,491,310 226,565 1,004,773 40,928 1,046,965 64,324 28,395 204,464 624,011 128,042 208,446 54,805 615,807 75,131 50,872 Percent 5.0 3.1 15.7 8.7 7.8 9.9 6.7 5.6 6.4 8.8 3.4 2.0 3.1 8.2 7.3 4.6 8.7 3.2 9.9 4.6 2.2 5.7 7.1 2.8 5.1 15.2 5.7 20.8 9.4 1.3 2.6 2.1 4.4 1.4 2.4 1.7 2.7 2.7 14.4 5.9 2.2 11.1 5.4 7.4 7.2 15.1 7.0 7.4 5.0 9.7 9.7 1.5 6.9 7.5 3.4 2.7 3.9 1.9 4.8 14.8 2.5 1.7 1.3 3.6 5.3 6.8 14.7 4.8 14.1 1.7 16.9 8.6



Number 7,492 1,636 30,151 6,560 37,455 6,737 145,021 41,341 54,463 49,217 1,537 953 19,456 96,016 3,032 7,637 13,073 2,269 5,610 6,662 1,126 3,071 3,043 1,409 3,513 18,543 2,772 30,028 50,820 4,362 14,399 147,629 38,773 13,992 19,602 75,262 1,999 2,992 17,681 5,358 1,077 16,222 25,510 6,387 22,422 103,235 4,537 3,444 12,628 21,580 7,578 1,143 4,087 13,036 5,141 60,984 17,919 30,475 12,590 196,509 1,058 18,086 845 1,159 12,301 53,471 22,969 11,049 11,524 11,237 18,100 5,046



2004 179.7 110.1 141.9 29.5 113.4 38.9 447.7 649.1 466.0 306.8 78.8 54.4 436.8 208.8 17.1 140.1 109.7 49.3 112.6 55.5 50.8 79.4 26.4 133.3 141.6 124.0 68.1 86.2 104.5 569.8 178.5 1,076.3 530.6 829.5 375.2 2,802.7 132.1 170.7 88.9 377.8 56.1 109.4 90.2 128.0 76.6 225.4 157.9 55.1 143.2 239.3 112.6 55.0 52.5 111.2 64.1 506.0 350.7 737.0 245.2 104.8 21.6 207.7 72.1 13.1 118.1 126.3 159.3 148.3 11.5 417.3 23.2 26.8



Home ownership 1990 rate 62.6 66.8 59.5 62.8 61.5 54.8 58.5 61.3 52.7 63.6 67.7 61.8 58.1 70.4 57.6 62.6 59.6 60.0 77.1 62.7 59.8 69.1 63.5 62.1 71.8 48.9 60.9 53.8 62.7 59.1 55.9 47.8 68.0 74.8 58.0 35.9 62.5 60.1 69.4 34.4 60.8 72.4 59.3 62.7 63.2 60.6 64.2 67.2 65.3 66.6 52.1 67.6 69.9 63.2 68.1 65.5 70.6 63.7 66.7 61.0 60.6 66.0 56.5 66.1 58.5 59.3 66.5 63.6 63.0 56.6 64.2 65.2



Units in multiunit structures 38.4 24.7 36.5 33.8 28.6 26.1 48.1 51.3 47.4 44.8 22.9 31.4 40.2 29.9 36.9 27.2 22.6 31.7 23.6 29.3 38.8 31.7 28.0 27.2 22.5 52.6 26.3 54.8 31.7 41.3 34.2 56.7 25.6 16.8 41.1 74.6 23.5 31.6 38.2 39.3 35.7 22.5 27.2 33.6 27.0 35.7 30.4 27.8 25.4 33.9 41.7 26.4 26.4 29.2 20.8 26.0 22.9 27.0 25.4 35.4 28.2 26.6 35.7 31.1 31.1 34.0 36.5 31.0 36.7 43.4 28.3 24.2



Cumulative 2000– 2003 period 8,198 1,964 28,062 6,639 37,483 6,967 149,670 42,977 56,610 50,083 1,712 799 23,913 98,659 3,168 7,929 13,530 1,913 4,137 6,172 340 2,342 3,187 1,614 3,695 17,907 3,063 29,230 48,085 7,031 20,117 189,222 42,400 21,582 25,915 99,325 2,273 3,774 18,161 5,760 712 15,863 25,729 6,627 23,314 102,684 4,947 3,296 13,505 22,119 7,815 1,031 3,751 13,707 5,935 77,455 20,403 43,608 13,444 194,169 657 27,015 1,547 1,307 13,246 57,253 23,275 12,379 10,787 16,734 15,869 5,073



2003 2,051 490 8,060 2,138 9,605 2,742 39,595 8,218 15,533 15,844 417 260 6,467 27,623 947 1,684 4,119 543 1,160 1,772 90 598 904 563 969 5,130 607 5,820 13,549 1,826 6,129 49,812 10,331 4,182 7,277 28,022 608 1,222 6,475 1,693 173 4,422 8,082 2,014 6,370 28,233 1,460 603 3,567 6,169 3,676 229 897 4,801 1,757 21,095 5,598 11,692 3,805 54,860 214 6,513 417 412 3,505 16,003 9,690 2,909 2,984 4,035 4,341 1,282



2002 2,426 446 7,477 1,548 9,084 1,753 39,594 12,028 14,606 12,960 413 227 5,936 25,751 1,127 1,728 3,173 491 954 1,613 71 524 887 313 992 4,017 1,003 7,282 11,782 1,701 5,383 46,390 9,435 5,351 6,187 25,417 614 956 6,161 1,422 200 3,980 6,289 1,835 5,919 26,208 1,375 1,094 2,525 6,622 1,616 234 820 3,213 1,411 18,994 5,321 10,280 3,393 47,899 147 7,040 459 354 3,455 14,378 6,032 3,259 3,264 4,551 3,799 1,303



154.7 101.3 81.7 21.7 90.9 30.3 358.9 520.0 396.7 226.9 70.6 50.2 385.0 167.4 12.9 122.6 88.3 44.1 87.7 44.6 43.3 59.0 19.4 124.1 121.7 79.4 58.6 46.5 76.9 539.9 169.2 986.1 453.2 774.3 347.7 2,582.0 121.8 156.8 59.9 335.2 54.1 77.4 78.0 91.4 63.1 150.2 128.0 46.6 123.8 181.8 86.4 50.7 43.3 86.4 58.5 460.8 307.6 688.5 203.7 68.9 20.0 198.4 69.1 11.3 98.3 93.4 113.5 128.8 6.7 384.6 13.9 21.3



Miami-Fort Lauderdale-Miami Beach, FL . . . . . . . . . . Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . West Palm Beach-Boca Raton-Boynton Beach, FL . . . Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . Minneapolis-St. Paul-Bloomington, MN-WI Missoula, MT . . . . . . . . . . . . . . . . . . . Mobile, AL . . . . . . . . . . . . . . . . . . . . . Modesto, CA. . . . . . . . . . . . . . . . . . . . Monroe, LA . . . . . . . . . . . . . . . . . . . . Monroe, MI . . . . . . . . . . . . . Montgomery, AL . . . . . . . . . Morgantown, WV . . . . . . . . . Morristown, TN . . . . . . . . . . Mount Vernon-Anacortes, WA Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Muskegon-Norton Shores, MI. . . . . . . . . . . . Myrtle Beach-Conway-North Myrtle Beach, SC Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . Naples-Marco Island, FL . . . . . . . . . . . . . . . Nashville-Davidson-Murfreesboro, TN . . . . . . New Haven-Milford, CT. . . . . . . . . . . . . . . .



New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA Edison, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . Niles-Benton Harbor, MI . Norwich-New London, CT Ocala, FL . . . . . . . . . . . Ocean City, NJ . . . . . . . Odessa, TX . . . . . . . . . Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Oklahoma City, OK . . . . . . . Olympia, WA. . . . . . . . . . . . Omaha-Council Bluffs, NE-IA . Orlando-Kissimee, FL . . . . . . Oshkosh-Neenah, WI . . . . . . Owensboro, KY . . . . . . . . . .



Oxnard-Thousand Oaks-Ventura, CA. Palm Bay-Melbourne-Titusville, FL . . Panama City-Lynn Haven, FL . . . . . Parkersburg-Marietta-Vienna, WV-OH Pascagoula, MS . . . . . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Peoria, IL . . . . . . . . . . . . . . . . . . Philadelphia-Camden-Wilmington, Camden, NJ . . . . . . . . . . . . . . Philadelphia, PA . . . . . . . . . . . . Wilmington, DE-MD-NJ . . . . . . . Phoenix-Mesa-Scottsdale, AZ . . . .



........... PA-NJ-DE-MD . ........... ........... ........... ........... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Pine Bluff, AR . . . . . . . . . . . . . . . . . . Pittsburgh, PA . . . . . . . . . . . . . . . . . . Pittsfield, MA. . . . . . . . . . . . . . . . . . . Pocatello, ID . . . . . . . . . . . . . . . . . . . Portland-South Portland-Biddeford, ME . Portland-Vancouver-Beaverton, OR-WA .



Port St. Lucie-Fort Pierce, FL. . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA. Provo-Orem, UT . . . . . . . . . . . . . . . . . . Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



159



Table B-7. Metropolitan Areas — Housing Units and Building Permits—Con.

Housing units Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division 2004 (July 1) Punta Gorda, FL . Racine, WI . . . . . Raleigh-Cary, NC. Rapid City, SD . . Reading, PA . . . . Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,954 78,028 383,121 50,524 157,157 73,250 164,650 485,593 1,306,004 135,697 73,343 436,636 137,211 64,515 38,552 794,166 87,972 70,359 44,909 51,800 1,183,069 139,725 136,549 47,927 367,935 45,915 701,046 1,099,235 36,820 1,654,724 928,689 726,035 618,317 109,798 147,831 101,040 60,278 191,689 355,803 133,020 255,885 1,338,140 1,040,502 297,638 48,277 50,007 166,178 57,997 85,005 136,416 114,726 184,401 94,137 279,968 170,427 61,807 56,372 211,678 43,455 282,750 148,572 1,233,984 74,619 56,568 294,954 100,543 137,573 397,150 383,373 89,839 75,047 Housing 2000, percent Units per square mile of land New private housing units authorized by building permits



Change 2000–2004 20001 (estimates base) 79,758 74,718 329,493 47,398 150,222 68,810 145,504 452,684 1,186,043 129,589 65,130 427,172 129,818 61,052 36,615 714,981 85,507 63,754 36,478 50,564 1,133,255 132,637 131,708 44,493 342,297 44,830 648,587 1,040,149 35,909 1,606,855 894,760 712,095 595,828 102,275 142,901 98,873 57,701 183,153 320,595 122,527 252,761 1,255,504 978,444 277,060 45,951 48,315 159,786 56,940 75,603 130,897 106,986 175,005 90,746 276,459 156,493 61,055 53,161 189,160 41,747 278,110 136,748 1,143,995 72,509 54,190 285,491 96,404 133,280 366,737 366,194 84,302 71,701 1990 (April 1) 64,641 66,945 226,275 41,333 134,482 60,552 113,278 389,331 1,026,179 114,986 55,579 399,088 113,143 52,851 32,821 609,904 81,931 55,327 19,523 48,188 1,064,366 105,847 121,224 39,501 278,105 40,977 548,023 946,240 32,827 1,500,289 820,279 680,010 552,470 90,200 138,149 91,878 41,464 161,062 272,300 106,219 242,288 1,060,127 831,285 228,842 40,695 44,223 153,528 52,456 61,774 120,600 89,927 150,105 81,523 263,487 124,252 58,377 46,195 166,274 35,016 266,067 107,166 1,025,064 70,584 50,406 270,583 89,046 123,666 298,207 335,728 69,272 64,369 Percent 10.3 4.4 16.3 6.6 4.6 6.5 13.2 7.3 10.1 4.7 12.6 2.2 5.7 5.7 5.3 11.1 2.9 10.4 23.1 2.4 4.4 5.3 3.7 7.7 7.5 2.4 8.1 5.7 2.5 3.0 3.8 2.0 3.8 7.4 3.4 2.2 4.5 4.7 11.0 8.6 1.2 6.6 6.3 7.4 5.1 3.5 4.0 1.9 12.4 4.2 7.2 5.4 3.7 1.3 8.9 1.2 6.0 11.9 4.1 1.7 8.6 7.9 2.9 4.4 3.3 4.3 3.2 8.3 4.7 6.6 4.7



Number 8,196 3,310 53,628 3,126 6,935 4,440 19,146 32,909 119,961 6,108 8,213 9,464 7,393 3,463 1,937 79,185 2,465 6,605 8,431 1,236 49,814 7,088 4,841 3,434 25,638 1,085 52,459 59,086 911 47,869 33,929 13,940 22,489 7,523 4,930 2,167 2,577 8,536 35,208 10,493 3,124 82,636 62,058 20,578 2,326 1,692 6,392 1,057 9,402 5,519 7,740 9,396 3,391 3,509 13,934 752 3,211 22,518 1,708 4,640 11,824 89,989 2,110 2,378 9,463 4,139 4,293 30,413 17,179 5,537 3,346



2004 126.8 234.2 181.1 8.1 183.0 19.4 24.9 85.0 47.9 72.4 45.3 149.0 172.6 61.7 75.1 155.9 108.8 40.1 18.5 31.2 136.8 72.6 41.1 68.0 38.6 17.8 95.5 261.7 144.5 669.1 637.2 714.9 230.7 33.2 54.0 226.9 31.6 121.6 271.1 97.9 146.5 227.0 246.9 177.3 94.0 53.6 64.0 28.0 33.0 143.7 141.5 104.6 79.6 151.4 56.6 154.6 50.9 151.3 65.3 118.3 62.2 483.2 50.9 37.4 182.1 31.0 608.9 43.2 61.0 34.4 80.8



Home ownership 1990 rate 67.0 66.9 63.0 61.1 69.7 61.0 54.6 64.6 58.1 65.1 74.6 63.2 67.1 58.7 62.1 57.0 69.5 68.8 60.7 64.5 66.3 60.1 50.3 61.2 64.7 57.7 59.8 53.0 63.6 53.5 58.6 47.1 58.7 55.7 53.6 55.3 62.4 60.3 62.8 58.3 62.8 59.2 59.1 59.8 67.7 62.6 59.7 65.3 64.8 67.5 65.8 61.2 65.0 59.5 62.9 66.3 55.8 58.0 62.8 60.7 57.3 62.4 65.3 62.9 62.0 65.9 63.3 58.2 62.1 58.2 63.8



Units in multiunit structures 30.9 29.1 32.7 36.1 22.5 30.8 41.3 24.8 29.0 27.4 26.6 31.4 27.2 34.2 26.6 28.3 23.3 28.6 25.3 25.0 28.6 33.0 30.3 25.3 29.9 27.4 31.0 39.6 25.5 41.0 33.9 49.9 34.5 29.5 35.3 27.7 31.5 23.9 41.3 33.2 30.2 37.2 38.4 32.8 30.7 26.8 31.0 26.0 31.9 20.5 30.2 31.1 27.0 38.7 25.2 24.8 37.9 25.7 36.5 34.6 41.7 40.8 24.4 29.5 29.9 23.9 29.3 38.5 28.4 39.7 29.2



Cumulative 2000– 2003 period 8,310 3,804 52,322 3,061 7,952 4,693 19,277 34,333 123,639 6,513 7,802 12,702 8,154 3,271 2,057 80,158 2,831 6,705 8,185 1,131 53,225 7,413 5,347 3,636 27,273 1,012 50,728 62,712 1,095 53,583 38,373 15,210 25,202 7,869 5,050 2,819 2,097 9,268 35,969 10,447 5,447 84,921 63,880 21,041 2,579 1,162 5,661 1,635 9,347 6,005 7,206 8,933 3,853 5,978 12,098 1,124 3,448 22,915 1,709 6,799 12,150 93,881 1,724 1,700 11,204 4,613 5,254 30,308 16,859 4,416 2,368



2003 2,522 1,188 12,660 858 1,991 1,358 5,033 9,177 42,252 1,627 2,016 3,422 2,625 762 502 22,832 699 2,015 2,729 304 14,754 1,979 1,355 1,298 8,145 265 13,375 18,031 334 14,828 11,352 3,476 7,103 2,260 1,461 1,066 561 2,252 9,025 2,526 1,530 20,601 15,449 5,152 599 337 2,243 437 2,520 1,366 2,081 2,550 1,075 1,663 3,455 273 1,022 7,041 653 1,703 3,526 29,281 359 651 3,205 1,378 1,188 7,910 4,354 1,194 657



2002 1,992 951 11,678 994 2,121 1,341 4,716 9,733 32,474 1,613 1,952 2,991 1,980 912 722 22,099 630 1,848 2,083 285 14,157 1,960 1,222 915 6,632 251 13,241 13,684 204 12,541 9,319 3,222 4,621 1,993 1,696 608 604 1,928 10,186 2,691 1,518 20,887 15,420 5,467 680 356 1,420 416 2,057 1,413 1,986 2,066 930 1,652 3,486 292 995 6,143 404 1,921 3,320 23,542 399 388 2,651 1,371 1,428 7,147 4,545 1,338 631



93.2 201.0 106.9 6.6 156.5 16.0 17.1 68.2 37.6 61.4 34.4 136.1 142.3 50.6 63.9 119.7 101.3 31.6 8.0 29.0 123.0 55.0 36.5 56.1 29.1 15.9 74.7 225.1 129.0 606.6 562.7 669.6 206.1 27.3 50.4 206.1 21.7 102.2 207.4 78.0 138.7 179.9 197.2 136.6 79.2 47.4 59.1 25.3 24.0 127.0 110.9 85.1 68.9 142.4 41.3 145.9 41.7 118.8 52.6 111.3 44.9 401.3 48.2 33.3 167.1 27.5 547.3 32.5 53.4 26.5 69.3



Reno-Sparks, NV. . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . . . . . . Riverside-San Bernardino-Ontario, CA . Roanoke, VA. . . . . . . . . . . . . . . . . . Rochester, MN . . . . . . . . . . . . . . . . Rochester, NY. . . . . . . . . . . . . . . . .



Rockford, IL . . . . . . . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . Sacramento-Arden-Arcade-Roseville, CA . Saginaw-Saginaw Township North, MI . . . St. Cloud, MN . . . . . . . . . . . . . . . . . . . St. George, UT . . . St. Joseph, MO-KS St. Louis, MO-IL3 . . Salem, OR . . . . . . Salinas, CA . . . . . Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Salt Lake City, UT . . . . . . . . . . . . . San Angelo, TX . . . . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA Sandusky, OH . . . . . . . . . . . . . . . .



San Francisco-Oakland-Fremont, CA . . . . . . Oakland-Fremont-Hayward, CA. . . . . . . . . . San Francisco-San Mateo-Redwood City, CA San Jose-Sunnyvale-Santa Clara, CA . . . . . . . San Luis Obispo-Paso Robles, CA . . . . . . . . . Santa Barbara-Santa Maria, CA . . . . . . . . . . . Santa Cruz-Watsonville, CA. . . Santa Fe, NM . . . . . . . . . . . . Santa Rosa-Petaluma, CA. . . . Sarasota-Bradenton-Venice, FL Savannah, GA . . . . . . . . . . . Scranton-Wilkes-Barre, PA . . . Seattle-Tacoma-Bellevue, WA Seattle-Bellevue-Everett, WA Tacoma, WA . . . . . . . . . . . Sheboygan, WI . . . . . . . . . . . Sherman-Denison, TX . . . . . . Shreveport-Bossier City, LA . . . Sioux City, IA-NE-SD . . Sioux Falls, SD . . . . . . South Bend-Mishawaka, Spartanburg, SC . . . . . Spokane, WA . . . . . . . Springfield, IL . . . . . . . Springfield, MA . . Springfield, MO . . Springfield, OH . . State College, PA Stockton, CA . . . Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..... ..... IN-MI . ..... ..... ..... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Syracuse, NY . . . . . . . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Terre Haute, IN . . . . . . . . . . . . . . . Texarkana, TX-Texarkana, AR . . . . . Toledo, OH . . . . . . . . . . . . . . . . . . Topeka, KS. . . . . . Trenton-Ewing, NJ . Tucson, AZ . . . . . . Tulsa, OK. . . . . . . Tuscaloosa, AL . . . Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



160



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-7. Metropolitan Areas — Housing Units and Building Permits—Con.

Housing units Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division 2004 (July 1) Utica-Rome, NY . . . . . . . . . . Valdosta, GA. . . . . . . . . . . . . Vallejo-Fairfield, CA . . . . . . . . Vero Beach, FL . . . . . . . . . . . Victoria, TX. . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135,385 51,711 144,005 66,177 48,000 53,736 657,757 126,792 88,372 51,207 2,033,679 434,555 1,599,124 68,964 54,426 59,593 45,202 69,487 249,931 63,829 53,416 173,153 49,156 196,697 308,387 80,887 166,175 260,844 54,245 80,604 Housing 2000, percent Units per square mile of land New private housing units authorized by building permits



Change 2000–2004 20001 (estimates base) 134,829 48,165 134,513 57,902 46,609 52,863 622,629 119,639 84,793 44,509 1,890,036 407,648 1,482,388 66,401 50,360 59,169 43,351 69,219 238,566 62,167 52,464 151,862 45,091 183,129 298,159 79,174 156,720 256,738 50,955 74,140 1990 (April 1) 132,050 38,022 119,533 47,128 41,556 50,294 561,928 105,013 78,857 34,785 1,633,371 350,595 1,282,776 63,693 43,774 59,446 35,688 69,434 213,290 59,801 49,580 109,627 36,489 155,292 279,428 70,852 134,761 247,137 45,408 46,541 Percent 0.4 7.4 7.1 14.3 3.0 1.7 5.6 6.0 4.2 15.0 7.6 6.6 7.9 3.9 8.1 0.7 4.3 0.4 4.8 2.7 1.8 14.0 9.0 7.4 3.4 2.2 6.0 1.6 6.5 8.7



Number 556 3,546 9,492 8,275 1,391 873 35,128 7,153 3,579 6,698 143,643 26,907 116,736 2,563 4,066 424 1,851 268 11,365 1,662 952 21,291 4,065 13,568 10,228 1,713 9,455 4,106 3,290 6,464



2004 51.6 32.5 173.7 131.5 21.3 109.8 250.3 26.3 84.8 135.9 361.4 375.1 357.8 45.7 35.2 102.5 9.5 73.1 60.2 24.2 43.3 90.0 46.1 134.5 203.8 18.8 183.7 153.1 44.0 14.6



Home ownership 1990 rate 58.7 57.2 63.2 65.8 59.6 63.2 58.8 56.8 56.0 63.0 60.7 67.7 58.8 68.0 71.7 69.5 56.5 66.2 62.9 58.7 62.2 54.3 63.8 64.9 61.1 60.2 72.0 68.7 54.4 52.4



Units in multiunit structures 38.7 37.0 24.2 37.4 28.7 28.4 29.1 22.6 29.8 29.3 33.9 28.4 35.4 23.8 23.9 22.7 32.2 26.2 26.6 23.9 27.7 37.6 23.6 30.2 40.2 32.8 22.7 22.9 29.1 58.1



Cumulative 2000– 2003 period 1,779 3,356 9,917 8,227 1,026 1,195 36,809 7,662 3,321 6,614 149,060 27,785 121,275 2,560 4,193 673 2,037 184 12,374 1,656 1,345 20,502 4,090 13,344 12,592 2,078 10,298 5,999 3,608 6,239



2003 481 1,050 2,642 2,430 244 374 10,353 2,270 891 1,648 35,847 6,265 29,582 690 1,395 156 663 55 3,648 534 289 6,455 1,137 3,406 3,629 606 3,148 1,431 1,597 1,915



2002 474 799 2,474 1,894 323 310 10,211 1,993 793 1,411 38,566 6,591 31,975 630 922 187 526 44 3,221 494 355 5,497 1,351 3,549 3,313 534 2,956 1,622 1,041 1,726



50.3 23.9 144.3 93.6 18.5 102.8 213.8 21.8 75.7 92.3 290.2 302.9 286.9 42.2 28.3 102.2 7.5 73.0 51.4 22.7 40.1 57.0 34.2 106.2 184.7 16.5 149.0 145.1 36.8 8.4



Virginia Beach-Norfolk-Newport News, VA-NC. . . . . Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV Bethesda-Gaithersburg-Frederick, MD . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV. Waterloo-Cedar Falls, IA . . . . Wausau, WI . . . . . . . . . . . . Weirton-Steubenville, WV-OH. Wenatchee, WA . . . . . . . . . Wheeling, WV-OH . . . . . . . . Wichita, KS. . . . . . . . . . . . . Wichita Falls, TX . . Williamsport, PA . . Wilmington, NC . . . Winchester, VA-WV Winston-Salem, NC Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Yakima, WA . . . . . . . . . . . . . York-Hanover, PA . . . . . . . . . Youngstown-Warren-Boardman, Yuba City, CA . . . . . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . . X Not applicable.



...... ...... OH-PA . ...... ......



1 The April 1, 2000, housing estimates base reflects changes to the 2000 Census of Population and Housing as documented in the Count Question Resolution program, and geographic program revisions. 2 The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield city is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 3 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA.



Note: Covers metropolitan statistical areas and metropolitan divisions and component counties defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . Survey, Census, or Data Collection Method: Based on the Census of Population and Housing and, for population estimates, the ‘‘component of population change method’’; for more information, see Appendix B, Limitations of the Data and Methodology, and also and ; New housing units—Based on a survey of local building permit officials using Form C-404; for information, see Internet site . Sources: Housing units 2000 and 2004—U.S. Census Bureau, Population Estimates by Housing Units, Annual Estimates of Housing Units for Counties: April 1, 2000 to July 1, 2004, (accessed 14 November 2005); Housing units 1990—U.S. Census Bureau, 1990 Census of Population and Housing, Summary Tape File (STF) 1C on CD-ROM (archive); Housing 2000—U.S. Census Bureau, 2000 Census of Population and Housing, Census 2000 Profiles of General Demographic Characteristics data files, (accessed 7 August 2002); Building permits—U.S. Census Bureau, ‘‘New Residential Construction—Building Permits,’’ e-mail from Manufacturing, Mining, and Construction Statistics Branch, subject: building permits by place 2000.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



161



Table B-8. Metropolitan Areas — Personal Income and Earnings by Industry

Personal income Total (mil. dol.) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Per capita1 (dol.) Percent change Earnings, 2002 Percent by selected major industries Professional and technical Retail sertrade vices 8.4 7.8 7.5 6.3 7.8 8.0 8.0 10.5 9.2 6.2 7.5 7.3 10.1 5.5 8.4 8.0 9.0 7.6 6.5 8.3 9.6 7.1 6.3 7.3 6.6 9.8 11.2 6.7 6.6 10.9 7.9 8.6 11.0 9.6 6.8 7.5 8.7 7.1 7.5 5.8 7.6 5.3 4.4 4.9 7.6 10.3 5.6 8.6 7.1 5.8 9.0 8.6 6.5 7.9 8.2 8.9 12.4 9.3 7.6 7.5 6.3 6.8 8.3 6.4 6.9 9.5 8.1 5.6 5.3 7.8 8.1 (NA) 5.7 (NA) 10.3 13.4 4.8 5.3 5.0 (NA) 4.3 8.2 2.6 2.8 14.0 3.9 (NA) 5.2 4.0 (NA) 6.2 (NA) (NA) 11.6 5.0 11.4 4.6 8.6 (NA) 5.6 10.7 (NA) 5.8 7.3 7.5 4.9 (NA) 5.3 (NA) 4.4 3.6 (NA) 14.6 12.8 19.3 9.8 8.7 18.1 4.0 5.3 12.8 3.6 (NA) 7.0 4.6 8.5 (NA) 6.7 5.5 5.5 (NA) 5.8 (NA) 7.7 (NA) (NA) (NA) 5.4 (NA) (NA) (NA) 8.4 Government and government enterprises 30.1 14.9 22.9 26.8 22.7 26.7 11.1 15.8 17.1 44.2 27.1 14.6 17.9 27.0 29.8 10.1 16.0 32.3 11.5 16.7 34.5 26.8 17.9 27.1 21.9 20.1 15.8 19.8 19.2 16.9 15.4 18.4 14.3 13.7 19.6 13.8 21.5 29.0 29.3 12.7 14.3 10.1 10.9 8.4 12.0 11.1 14.1 16.9 54.5 6.7 27.0 26.2 17.8 9.8 15.8 12.0 15.4 36.4 13.5 11.0 34.2 18.2 26.4 10.2 32.5 16.2 40.2 11.7 11.4 13.7 14.2



2002 Abilene, TX. . . . . . . . . . . . . Akron, OH . . . . . . . . . . . . . Albany, GA . . . . . . . . . . . . . Albany-Schenectady-Troy, NY Albuquerque, NM. . . . . . . . . Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,836.7 21,147.3 3,661.7 26,966.7 21,421.0 3,761.6 23,541.8 3,165.2 5,827.9 2,173.5 11,874.2 3,429.7 4,251.7 11,801.1 2,618.1 6,232.1 10,103.1 4,109.3 149,973.9 8,210.4 2,529.9 13,016.3 42,671.2 15,674.5 92,409.6 3,816.5 9,020.7 18,494.2 3,621.4 2,860.8 9,689.2 4,508.6 3,540.0 3,985.6 6,503.2 32,650.9 2,657.5 3,261.9 4,182.1 4,798.5 14,397.4 188,418.0 77,390.6 68,484.6 28,203.5 14,339.3 11,280.5 2,574.3 7,570.4 53,432.7 5,697.0 2,615.6 33,076.3 3,587.1 6,474.2 11,061.3 15,009.4 1,773.7 2,294.5 7,328.9 5,862.4 8,653.7 15,176.0 46,511.8 5,755.2 13,333.5 2,569.8 329,814.5 275,388.8 18,740.1 35,685.5



2001 3,673.6 20,601.6 3,517.1 26,178.9 20,524.7 3,612.2 22,762.4 3,061.2 5,626.8 2,103.5 11,335.3 3,365.6 4,199.0 11,458.5 2,493.0 6,062.3 9,857.3 3,960.8 147,307.4 7,887.0 2,436.8 12,505.5 43,152.2 14,727.0 89,050.4 3,666.7 8,713.9 17,840.8 3,477.0 2,828.6 9,374.8 4,341.0 3,366.9 3,845.7 6,370.9 31,493.6 2,571.0 3,144.6 4,048.4 4,619.4 13,976.2 188,379.6 76,863.4 69,183.7 28,150.0 14,182.5 12,083.5 2,463.4 7,159.3 54,393.1 5,340.4 2,496.8 32,168.7 3,523.7 6,328.1 10,791.2 14,294.6 1,720.8 2,219.7 7,253.7 5,684.3 8,408.8 14,433.2 44,965.3 5,575.7 12,991.4 2,425.1 325,965.3 272,406.8 18,617.8 34,940.6



2000 3,880.2 20,592.8 3,371.3 25,167.9 18,910.3 3,317.9 22,219.5 3,057.4 5,564.9 2,066.8 10,329.6 3,304.6 4,037.3 11,541.0 2,382.4 5,872.7 9,683.7 3,784.7 141,816.9 7,975.4 2,337.7 11,963.5 41,157.3 13,891.4 85,143.9 3,422.3 7,979.9 17,206.0 3,471.4 2,857.8 9,169.1 4,063.5 3,139.7 3,651.0 6,314.7 29,898.1 2,434.8 3,040.2 3,955.7 4,409.9 13,415.8 182,380.4 73,221.3 68,073.8 27,301.5 13,783.8 11,825.5 2,454.8 6,852.9 52,189.9 5,023.1 2,410.9 31,806.5 3,431.0 6,026.0 10,748.7 12,874.8 1,683.8 2,256.8 7,111.9 5,447.2 8,023.7 13,933.2 43,120.0 5,333.4 12,862.7 2,292.5 318,438.8 265,915.8 18,385.6 34,137.4



2002 24,252 30,205 22,862 32,297 28,471 25,887 31,073 24,815 25,255 26,479 35,623 26,005 24,983 35,282 23,504 29,891 26,757 24,171 33,257 31,702 21,445 25,666 31,677 22,635 35,556 26,123 39,589 25,841 26,097 26,067 25,352 25,902 28,193 28,156 25,809 30,661 27,649 21,399 23,633 30,892 28,878 42,436 42,353 46,499 38,309 35,518 40,474 24,242 31,740 59,727 16,126 27,409 28,489 26,459 31,981 27,185 31,562 32,522 34,018 30,341 27,294 28,230 26,965 33,083 32,053 27,603 30,949 35,583 35,493 27,501 43,076



2000 24,232 29,591 21,372 30,445 25,848 22,863 29,952 23,692 24,508 25,775 32,235 24,795 24,274 35,575 21,397 28,999 26,145 22,694 33,120 31,517 20,248 23,911 32,546 20,931 33,294 23,621 35,745 24,325 25,138 25,951 23,832 24,245 26,929 26,246 25,054 28,386 25,675 20,078 22,501 29,229 28,622 41,435 40,326 46,339 37,635 35,218 40,364 23,502 29,472 58,998 14,915 25,851 27,209 26,102 30,206 26,412 29,011 32,049 33,911 29,910 25,870 25,934 25,316 32,187 30,513 26,958 28,057 34,921 34,790 27,175 42,743



2001– 2002 4.4 2.6 4.1 3.0 4.4 4.1 3.4 3.4 3.6 3.3 4.8 1.9 1.3 3.0 5.0 2.8 2.5 3.8 1.8 4.1 3.8 4.1 –1.1 6.4 3.8 4.1 3.5 3.7 4.2 1.1 3.4 3.9 5.1 3.6 2.1 3.7 3.4 3.7 3.3 3.9 3.0 0.0 0.7 –1.0 0.2 1.1 –6.6 4.5 5.7 –1.8 6.7 4.8 2.8 1.8 2.3 2.5 5.0 3.1 3.4 1.0 3.1 2.9 5.1 3.4 3.2 2.6 6.0 1.2 1.1 0.7 2.1



2000– 2002 –1.1 2.7 8.6 7.1 13.3 13.4 6.0 3.5 4.7 5.2 15.0 3.8 5.3 2.3 9.9 6.1 4.3 8.6 5.8 2.9 8.2 8.8 3.7 12.8 8.5 11.5 13.0 7.5 4.3 0.1 5.7 11.0 12.8 9.2 3.0 9.2 9.2 7.3 5.7 8.8 7.3 3.3 5.7 0.6 3.3 4.0 –4.6 4.9 10.5 2.4 13.4 8.5 4.0 4.5 7.4 2.9 16.6 5.3 1.7 3.1 7.6 7.9 8.9 7.9 7.9 3.7 12.1 3.6 3.6 1.9 4.5



Total2 (mil. dol.) 2,699.3 14,808.9 2,701.9 21,560.1 16,481.1 2,393.9 15,640.6 2,365.8 4,431.1 1,782.7 9,402.6 2,037.1 2,563.6 11,197.8 1,877.6 4,845.1 6,505.7 3,130.2 128,414.9 7,259.2 1,606.8 9,504.5 37,221.1 11,904.9 68,078.7 3,001.4 4,613.6 14,407.6 3,034.6 1,726.2 7,162.6 3,051.1 2,387.9 3,012.9 4,823.9 25,515.7 2,047.9 2,596.7 2,852.7 4,383.6 11,440.2 160,711.3 76,590.6 58,174.9 16,516.9 9,428.9 9,598.5 2,025.7 4,689.0 39,532.7 3,854.2 1,564.3 24,352.3 2,483.7 5,440.5 7,519.5 8,168.7 1,445.6 1,670.7 5,929.9 4,469.2 6,843.8 11,585.2 41,457.8 4,267.5 10,314.1 1,898.1 264,160.1 227,895.3 11,762.0 24,502.8



Manufacturing 4.5 18.8 (NA) 7.8 8.7 10.8 21.3 16.1 7.5 12.3 2.1 36.4 31.6 18.7 19.3 24.7 17.5 14.0 8.2 3.2 15.7 14.0 14.6 4.4 8.3 13.6 3.2 13.9 31.8 20.5 20.5 13.8 9.5 6.5 26.4 9.7 7.8 26.2 15.8 10.8 18.0 11.4 5.6 15.5 22.1 14.0 17.9 21.5 1.5 12.0 9.8 11.5 20.0 24.0 21.3 26.5 4.8 10.8 5.8 21.6 10.8 10.1 10.4 14.0 0.1 16.8 4.4 13.1 11.8 22.6 21.3



Health care and social services (NA) 11.0 (NA) (NA) (NA) 16.9 13.0 15.3 (NA) 6.8 9.2 11.4 7.1 8.5 8.4 8.8 (NA) (NA) (NA) 9.5 7.0 (NA) (NA) 8.0 10.5 17.2 13.2 (NA) 9.9 12.3 (NA) 10.3 13.3 (NA) 11.5 (NA) (NA) (NA) (NA) 8.8 (NA) 9.6 11.3 7.1 11.8 8.5 6.7 (NA) 8.1 7.4 17.3 (NA) 10.8 10.4 (NA) (NA) 9.4 7.6 11.4 (NA) (NA) (NA) 8.6 6.0 (NA) (NA) 6.7 (NA) 7.7 (NA) 6.6



Allentown-Bethlehem-Easton, PA-NJ . Altoona, PA . . . . . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . . Anderson, IN . . . . . . . . . . . . . . . . Anderson, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . Anniston-Oxford, AL . . . . . Appleton, WI . . . . . . . . . . Asheville, NC . . . . . . . . . Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Atlanta-Sandy Springs-Marietta, GA Atlantic City, NJ . . . . . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . Augusta-Richmond County, GA-SC . Austin-Round Rock, TX. . . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Baltimore-Towson, MD Bangor, ME . . . . . . . Barnstable Town, MA . Baton Rouge, LA . . . . Battle Creek, MI . . . . Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Beaumont-Port Arthur, TX Bellingham, WA. . . . . . . Bend, OR . . . . . . . . . . . Billings, MT. . . . . . . . . . Binghamton, NY . . . . . . Birmingham-Hoover, AL .



Bismarck, ND . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA Bloomington, IN. . . . . . . . . . . . . . . . Bloomington-Normal, IL. . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . .



Boston-Cambridge-Quincy, MA-NH . . . . . Boston-Quincy, MA . . . . . . . . . . . . . . . . Cambridge-Newton-Framingham, MA . . . . Essex County, MA . . . . . . . . . . . . . . . . Rockingham County-Strafford County, NH . Boulder, CO3 . . . . . . . . . . . . . . . . . . . . . Bowling Green, KY. . . . . . . . . . Bremerton-Silverdale, WA . . . . . Bridgeport-Stamford-Norwalk, CT Brownsville-Harlingen, TX . . . . . Brunswick, GA . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . . Burlington, NC. . . . . . . . . . . . Burlington-South Burlington, VT Canton-Massillon, OH. . . . . . . Cape Coral-Fort Myers, FL . . . Carson City, NV. . . . . . . . . . . Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Cedar Rapids, IA . . . . . . . . . . . . . . Champaign-Urbana, IL . . . . . . . . . . Charleston, WV . . . . . . . . . . . . . . . Charleston-North Charleston, SC . . . Charlotte-Gastonia-Concord, NC-SC . Charlottesville, VA . . . . . . . . . . . . .



Chattanooga, TN-GA . . . . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI . . Chicago-Naperville-Joliet, IL . . . . . . Gary, IN . . . . . . . . . . . . . . . . . . . Lake County-Kenosha County, IL-WI See footnotes at end of table.



162



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-8. Metropolitan Areas — Personal Income and Earnings by Industry—Con.

Personal income Total (mil. dol.) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Per capita1 (dol.) Percent change Earnings, 2002 Percent by selected major industries Professional and technical Retail sertrade vices 11.0 6.6 6.5 7.2 6.2 11.4 7.8 7.1 7.8 7.6 6.2 5.2 8.3 7.8 4.7 8.7 7.2 6.9 8.3 6.3 6.9 8.8 7.6 6.2 7.4 7.5 10.9 5.9 7.7 5.8 5.2 6.2 10.0 7.8 9.0 7.6 4.7 8.5 8.4 7.0 4.9 9.1 8.2 8.3 8.9 6.5 6.3 8.8 8.0 6.1 6.0 9.4 7.3 8.2 10.5 6.2 7.6 7.2 7.3 6.3 7.9 8.8 7.2 7.3 9.5 7.8 8.7 10.5 7.1 9.3 7.4 6.9 7.5 7.9 6.3 (NA) (NA) 3.2 9.6 6.2 (NA) 11.0 (NA) (NA) (NA) 4.1 (NA) (NA) 6.4 2.2 (NA) (NA) (NA) (NA) 3.2 2.2 (NA) (NA) 2.8 3.5 5.9 (NA) 6.3 13.3 10.1 15.5 (NA) (NA) 4.7 3.8 (NA) 4.8 2.3 2.5 2.5 3.5 3.7 4.0 6.0 4.5 3.2 5.8 (NA) 2.3 (NA) 3.8 7.8 4.2 (NA) 2.9 (NA) 7.8 (NA) 4.8 4.9 3.4 6.4 (NA) 3.4 2.2 3.5 5.2 (NA) 5.6 3.6 4.7 6.2 3.9 Government and government enterprises 21.9 12.3 48.5 11.7 13.7 19.4 37.7 27.6 36.8 25.5 32.7 11.3 16.2 23.0 27.0 24.5 9.6 9.0 11.6 9.4 23.4 15.5 16.7 20.4 14.5 10.1 16.5 12.3 13.3 10.1 13.2 8.0 16.6 39.8 8.1 21.8 17.9 16.2 35.7 45.7 6.3 21.6 27.6 13.9 19.3 9.2 46.9 15.0 22.0 58.3 12.0 33.8 14.6 17.4 27.3 11.5 19.2 13.3 44.4 9.7 21.8 14.7 37.6 12.3 21.0 35.1 32.7 17.6 9.6 30.8 13.4 11.8 11.2 32.5



2002 Chico, CA. . . . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN Clarksville, TN-KY . . . . . . . . . . Cleveland, TN . . . . . . . . . . . . . Cleveland-Elyria-Mentor, OH . . . Coeur d’Alene, ID . . . . . . . . . . College Station-Bryan, TX . Colorado Springs, CO. . . . Columbia, MO . . . . . . . . . Columbia, SC . . . . . . . . . Columbus, GA-AL . . . . . . Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,999.0 64,768.9 5,801.7 2,654.7 69,059.6 2,761.2 3,976.3 16,894.9 4,131.4 18,385.5 7,410.1 2,172.3 53,061.2 10,163.5 2,399.4 2,263.8 185,167.0 130,174.0 54,993.0 3,083.0 1,870.1 2,470.0 10,644.1 25,189.6 3,642.1 3,157.5 11,380.4 86,526.4 16,434.2 152,799.6 56,477.0 96,322.5 3,357.5 3,285.9 2,442.1 7,437.1 13,903.3 4,009.8 2,972.5 2,765.9 5,144.9 2,230.1 13,992.3 7,095.2 8,646.6 10,021.4 2,560.7 5,113.6 2,457.5 8,626.3 9,097.0 2,942.5 11,446.2 4,862.9 3,225.9 2,880.7 8,296.1 6,398.9 5,254.0 11,485.8 19,544.1 2,365.2 5,933.6 3,794.9 3,149.3 2,641.0 2,475.3 3,166.7 21,688.5 2,113.0 5,000.2 8,641.3 18,708.5 3,789.5



2001 4,782.9 62,995.7 5,520.1 2,586.5 68,363.9 2,638.5 3,841.9 16,533.6 3,989.3 17,844.2 7,158.8 2,125.9 51,420.2 9,771.5 2,333.9 2,167.3 182,207.4 128,431.6 53,775.8 2,971.7 1,842.2 2,391.2 10,411.2 24,689.0 3,635.0 3,168.9 10,865.0 85,893.5 15,781.7 151,682.4 56,507.5 95,174.9 3,239.8 3,088.5 2,361.6 7,153.6 13,547.6 3,873.0 2,734.2 2,702.5 4,920.9 2,203.4 13,313.6 6,949.0 8,434.7 9,716.6 2,425.9 4,895.6 2,365.0 8,088.1 8,635.5 2,792.0 11,270.0 4,740.7 3,212.7 2,798.5 8,098.6 6,253.1 4,871.3 11,277.1 18,401.4 2,291.6 5,719.8 3,669.9 3,040.1 2,566.6 2,363.4 3,009.5 21,256.9 2,033.4 4,885.8 8,327.4 18,382.9 3,701.9



2000 4,570.6 61,393.0 5,305.4 2,332.7 67,934.8 2,520.7 3,673.1 15,990.3 3,845.8 17,429.2 6,740.1 2,183.4 49,769.8 9,348.0 2,259.4 2,099.9 176,530.1 125,748.5 50,781.6 2,869.5 1,807.4 2,364.1 10,172.9 24,210.5 3,461.9 3,129.5 10,380.7 82,196.3 15,218.9 151,792.6 56,659.6 95,133.0 3,018.5 3,020.9 2,293.1 7,000.5 12,996.6 3,803.7 2,530.3 2,620.7 4,871.0 2,217.0 12,649.9 6,888.2 8,247.5 9,294.0 2,303.3 4,820.7 2,166.7 7,823.1 7,979.1 2,661.7 11,550.2 4,486.2 3,113.5 2,699.5 7,657.1 5,889.2 4,610.5 11,211.1 17,627.7 2,212.0 5,521.1 3,485.4 3,008.8 2,503.8 2,308.7 2,928.1 20,818.4 1,968.1 4,586.4 8,137.2 18,138.0 3,666.8



2002 23,944 31,804 24,716 25,149 32,244 24,164 21,028 29,892 27,658 27,730 25,899 30,261 32,043 25,119 30,421 22,377 33,816 35,506 30,391 24,609 22,484 22,660 28,384 29,796 24,884 28,094 24,747 38,008 33,129 34,129 27,684 39,524 25,462 24,987 27,294 26,927 31,435 26,685 20,382 25,324 27,665 24,558 20,129 25,301 26,416 29,116 30,081 28,869 20,511 25,409 24,788 24,543 25,977 24,943 22,769 29,487 31,420 23,021 29,938 28,965 23,492 22,999 25,033 25,040 25,092 23,376 25,831 25,940 28,659 26,546 24,495 29,905 28,508 24,212



2000 22,430 30,477 22,799 22,372 31,626 23,014 19,814 29,603 26,339 26,855 23,887 30,450 30,740 23,183 28,907 20,619 33,973 36,187 29,504 23,735 21,563 21,488 27,066 28,549 23,702 27,336 23,329 37,852 31,508 34,048 27,515 39,656 23,029 23,769 25,691 25,404 30,507 25,595 17,753 24,315 26,544 24,351 18,556 24,541 25,502 27,098 27,832 27,596 18,974 23,232 22,834 22,820 26,434 23,212 21,773 27,721 30,272 21,506 26,969 28,670 21,979 21,413 23,712 24,741 24,197 22,093 23,740 24,926 28,026 24,545 25,040 28,729 28,109 23,944



2001– 2002 4.5 2.8 5.1 2.6 1.0 4.6 3.5 2.2 3.6 3.0 3.5 2.2 3.2 4.0 2.8 4.5 1.6 1.4 2.3 3.7 1.5 3.3 2.2 2.0 0.2 –0.4 4.7 0.7 4.1 0.7 –0.1 1.2 3.6 6.4 3.4 4.0 2.6 3.5 8.7 2.3 4.6 1.2 5.1 2.1 2.5 3.1 5.6 4.5 3.9 6.7 5.3 5.4 1.6 2.6 0.4 2.9 2.4 2.3 7.9 1.9 6.2 3.2 3.7 3.4 3.6 2.9 4.7 5.2 2.0 3.9 2.3 3.8 1.8 2.4



2000– 2002 9.4 5.5 9.4 13.8 1.7 9.5 8.3 5.7 7.4 5.5 9.9 –0.5 6.6 8.7 6.2 7.8 4.9 3.5 8.3 7.4 3.5 4.5 4.6 4.0 5.2 0.9 9.6 5.3 8.0 0.7 –0.3 1.3 11.2 8.8 6.5 6.2 7.0 5.4 17.5 5.5 5.6 0.6 10.6 3.0 4.8 7.8 11.2 6.1 13.4 10.3 14.0 10.6 –0.9 8.4 3.6 6.7 8.3 8.7 14.0 2.4 10.9 6.9 7.5 8.9 4.7 5.5 7.2 8.1 4.2 7.4 9.0 6.2 3.1 3.3



Total2 (mil. dol.) 3,035.6 49,815.5 4,449.7 1,891.2 54,533.6 1,735.9 3,064.9 13,333.1 3,308.0 14,615.8 5,805.2 1,972.9 45,202.4 7,625.3 1,827.6 1,427.2 164,953.3 122,645.7 42,307.6 2,943.8 1,243.3 1,573.9 7,993.6 20,048.0 2,400.5 2,465.8 5,638.6 73,210.3 14,069.9 124,888.5 50,218.6 74,669.9 2,274.7 2,528.4 1,987.4 5,361.0 14,327.2 3,001.9 2,189.1 2,256.6 5,215.2 1,591.4 11,178.4 5,303.1 5,936.3 7,813.0 2,178.2 4,229.1 1,949.1 7,389.2 7,480.5 2,057.4 8,119.7 3,691.6 1,965.7 2,092.6 6,058.9 4,669.0 4,174.2 9,482.0 14,465.5 1,393.3 4,693.5 2,863.4 2,034.0 1,836.5 1,945.5 2,130.0 18,715.1 1,494.4 3,533.7 7,162.7 15,572.0 2,704.4



Manufacturing 5.1 16.2 16.0 30.5 18.5 8.9 7.4 (NA) 7.4 11.3 (NA) 43.1 12.2 10.3 26.3 16.4 (NA) (NA) 16.1 42.1 21.9 33.6 16.7 20.5 36.0 29.2 7.4 (NA) 7.2 21.6 20.7 22.1 13.7 (NA) 23.7 8.1 27.2 17.4 4.4 16.7 53.7 20.5 12.2 26.4 14.8 26.6 1.4 8.7 3.3 8.4 17.4 6.8 28.2 25.4 17.0 35.2 20.2 23.3 3.5 23.2 8.6 19.1 4.3 27.0 16.8 14.7 6.9 6.7 26.4 2.9 15.5 21.6 21.7 15.7



Health care and social services 15.6 (NA) (NA) (NA) 10.7 10.4 (NA) 7.1 (NA) (NA) 7.9 7.2 (NA) 11.9 10.7 (NA) (NA) 7.2 (NA) 7.0 10.0 12.1 (NA) 11.0 (NA) 10.8 15.3 (NA) (NA) 8.6 9.4 8.1 (NA) 9.2 14.5 (NA) 11.1 14.3 4.0 (NA) 6.6 14.5 10.2 14.4 12.6 (NA) 7.5 (NA) 8.3 (NA) (NA) 13.4 11.6 (NA) 9.1 9.8 8.6 (NA) 6.1 (NA) 11.9 18.5 (NA) 12.3 13.3 10.7 (NA) 14.9 9.8 16.6 8.2 (NA) (NA) 10.7



Columbus, OH . . . . . . . . . . Corpus Christi, TX . . . . . . . . Corvallis, OR . . . . . . . . . . . Cumberland, MD-WV . . . . . . Dallas-Fort Worth-Arlington, Dallas-Plano-Irving, TX . . . Fort Worth-Arlington, TX . .



... ... ... ... TX . ... ...



Dalton, GA . . . . . . . . . . . . . . . . . Danville, IL . . . . . . . . . . . . . . . . . Danville, VA . . . . . . . . . . . . . . . . Davenport-Moline-Rock Island, IA-IL Dayton, OH . . . . . . . . . . . . . . . . Decatur, AL . . . . . . . . . . . . . . . .



Decatur, IL . . . . . . . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, FL Denver-Aurora, CO3 . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . . . . . . . . . . . Detroit-Warren-Livonia, MI. . . . . . . . . . . Detroit-Livonia-Dearborn, MI . . . . . . . . . Warren-Farmington Hills-Troy, MI . . . . . . Dothan, AL . . . Dover, DE . . . Dubuque, IA . . Duluth, MN-WI Durham, NC . . Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



El Centro, CA . . . . Elizabethtown, KY . Elkhart-Goshen, IN. Elmira, NY . . . . . . El Paso, TX . . . . . Erie, PA . . . . . . . .



Eugene-Springfield, OR Evansville, IN-KY . . . . . Fairbanks, AK . . . . . . . Fargo, ND-MN. . . . . . . Farmington, NM. . . . . . Fayetteville, NC . . . . . .



Fayetteville-Springdale-Rogers, AR-MO . Flagstaff, AZ . . . . . . . . . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Florence, SC. . . . . . . . . . . . . . . . . . . Florence-Muscle Shoals, AL. . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Fort Wayne, IN . . . . . . . . . . . . . . . . . Fresno, CA . . . . . . . . . . . . . . . . . . . . Gadsden, AL. . . . . . . . . . . . . . . . . . . Gainesville, FL . . . . Gainesville, GA . . . . Glens Falls, NY . . . . Goldsboro, NC . . . . Grand Forks, ND-MN Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Grand Rapids-Wyoming, MI . Great Falls, MT . . . . . . . . . Greeley, CO3 . . . . . . . . . . Green Bay, WI . . . . . . . . . Greensboro-High Point, NC . Greenville, NC. . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



163



Table B-8. Metropolitan Areas — Personal Income and Earnings by Industry—Con.

Personal income Total (mil. dol.) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Per capita1 (dol.) Percent change Earnings, 2002 Percent by selected major industries Professional and technical Retail sertrade vices 8.4 6.8 9.3 6.0 6.7 9.1 6.1 9.9 7.3 2.7 6.2 6.7 10.7 7.1 5.6 8.5 6.1 9.2 6.7 6.6 5.4 9.4 7.7 9.6 7.7 4.7 8.2 8.0 8.9 9.7 8.7 9.1 7.7 9.2 6.6 6.7 6.5 8.7 11.3 10.1 5.8 7.0 6.7 8.1 (NA) 9.6 8.9 6.8 10.3 7.5 7.8 6.8 6.1 9.2 9.6 10.4 7.0 8.0 6.2 6.9 7.5 10.3 8.0 6.6 6.3 7.2 6.7 10.2 8.7 7.3 8.2 8.4 (NA) 5.1 4.8 1.8 7.1 4.2 8.6 (NA) (NA) (NA) 3.9 7.3 3.6 3.5 11.5 (NA) 17.6 19.6 (NA) 4.8 6.6 3.2 8.0 3.3 (NA) 1.5 2.5 (NA) (NA) 7.0 3.6 2.5 4.7 (NA) (NA) 19.2 (NA) (NA) 4.6 9.3 2.9 3.5 3.2 7.8 5.8 5.8 5.8 (NA) 4.3 6.5 6.6 8.1 3.4 3.4 3.9 8.2 (NA) 2.3 7.8 (NA) 5.4 (NA) 2.6 11.3 11.4 11.2 (NA) (NA) (NA) (NA) (NA) 8.3 Government and government enterprises 13.6 35.3 20.2 47.1 22.1 15.2 14.3 25.7 12.8 79.7 11.9 34.2 15.0 13.4 9.8 18.5 27.0 14.4 12.4 41.8 12.5 17.8 21.1 18.6 18.4 75.2 12.8 36.0 20.2 19.5 16.9 11.0 15.5 15.7 14.6 17.9 54.8 11.5 26.0 15.1 10.3 14.4 24.6 10.8 14.2 15.1 8.8 27.6 26.4 35.6 13.4 30.7 56.5 17.9 18.4 12.1 16.4 14.2 21.2 22.2 25.0 11.7 14.5 12.4 13.4 9.4 12.2 22.2 13.1 14.3 22.0 24.1



2002 Greenville, SC. . . . . . . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . . Hagerstown-Martinsburg, MD-WV . Hanford-Corcoran, CA . . . . . . . . Harrisburg-Carlisle, PA . . . . . . . . Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,572.6 6,212.8 6,027.9 2,504.7 16,366.2 2,562.5 44,402.6 2,893.0 8,887.0 1,290.4 6,769.3 28,300.7 2,292.4 4,773.2 173,756.8 6,630.2 10,222.8 2,604.9 51,841.5 4,087.3 2,520.6 4,030.0 13,549.9 2,765.8 35,337.6 3,808.4 4,138.0 3,708.0 4,204.5 3,590.5 2,398.8 3,747.1 8,672.7 2,716.1 61,254.9 5,468.9 8,230.8 7,317.2 4,864.2 17,921.7 2,892.4 3,611.6 4,548.7 6,636.4 4,701.2 12,890.7 14,000.6 12,614.5 3,436.6 3,674.2 44,572.4 2,658.2 2,685.5 3,379.7 1,515.1 2,809.2 12,967.5 2,728.5 8,221.7 17,831.1 2,098.5 5,061.6 2,373.4 413,164.9 300,898.1 112,266.8 36,194.6 6,365.1 5,849.6 6,213.5 2,527.1 18,000.9



2001 15,342.0 5,965.2 5,777.7 2,338.6 15,717.9 2,533.9 43,659.2 2,754.3 8,816.5 1,230.1 6,672.5 26,914.8 2,215.6 4,597.2 170,557.7 6,411.7 9,850.4 2,494.4 50,762.5 3,949.7 2,422.2 3,929.3 13,144.2 2,682.4 33,973.8 3,596.2 4,009.6 3,637.0 4,065.9 3,498.2 2,336.2 3,653.6 8,446.3 2,650.8 59,737.0 5,138.5 7,823.0 7,121.7 4,709.6 17,156.2 2,825.1 3,480.0 4,490.6 6,478.5 4,582.0 12,315.8 13,603.2 12,268.0 3,216.0 3,424.3 42,457.2 2,587.0 2,583.7 3,294.6 1,470.8 2,661.9 12,575.8 2,673.7 7,905.3 17,292.8 2,028.3 4,932.3 2,338.6 402,423.7 293,228.7 109,195.0 35,463.4 6,109.4 5,773.3 5,948.8 2,379.1 17,199.2



2000 15,073.3 5,826.7 5,453.7 2,117.6 15,143.4 2,385.2 42,567.6 2,555.0 8,635.9 1,191.8 6,677.7 26,604.8 2,118.0 4,198.5 161,397.6 6,203.6 9,476.7 2,321.1 48,861.5 3,815.3 2,320.9 3,966.2 12,667.9 2,663.6 33,150.7 3,437.2 3,992.8 3,445.3 3,892.9 3,413.4 2,247.9 3,533.3 8,325.2 2,570.7 58,247.1 4,755.9 7,458.6 6,834.1 4,545.7 16,569.0 2,929.1 3,302.7 4,392.6 6,048.3 4,312.9 11,517.0 13,569.5 12,066.7 2,933.7 3,120.0 41,239.3 2,423.4 2,452.6 3,175.3 1,418.6 2,532.0 12,387.6 2,633.0 7,774.8 16,498.2 1,932.0 4,775.2 2,201.9 385,053.4 279,049.5 106,003.9 34,249.6 6,055.4 5,626.4 5,662.1 2,265.1 16,468.9



2002 27,179 24,971 26,051 18,581 31,821 23,270 37,995 22,781 25,507 17,919 27,485 31,707 25,482 24,330 34,969 23,139 28,959 24,837 32,916 30,163 25,242 25,011 26,848 25,310 30,037 25,317 26,865 26,112 22,897 23,885 21,968 23,418 27,265 25,901 32,467 26,905 24,287 24,481 27,013 28,466 28,543 28,222 25,006 27,385 24,370 25,777 29,266 27,806 16,593 20,573 29,396 26,010 23,725 27,836 26,246 26,721 31,136 25,237 30,022 28,659 19,772 25,727 25,104 32,547 30,804 38,367 30,666 25,027 25,422 27,635 19,617 34,650



2000 26,834 23,627 24,395 16,306 29,729 22,051 36,987 20,557 25,178 16,617 27,885 30,383 23,964 21,588 34,041 21,514 27,589 22,730 31,920 28,886 24,002 24,987 25,424 24,766 29,439 22,881 26,176 24,554 21,395 22,422 20,793 22,405 26,410 24,747 31,612 24,687 22,458 22,898 25,553 26,836 28,851 26,004 24,554 25,281 22,292 23,727 28,770 26,909 15,071 17,831 29,601 24,190 21,408 26,369 24,484 24,378 30,251 24,258 29,041 26,960 18,744 24,611 23,668 31,049 29,235 37,110 29,398 24,227 24,579 25,458 18,321 32,688



2001– 2002 1.5 4.2 4.3 7.1 4.1 1.1 1.7 5.0 0.8 4.9 1.5 5.1 3.5 3.8 1.9 3.4 3.8 4.4 2.1 3.5 4.1 2.6 3.1 3.1 4.0 5.9 3.2 2.0 3.4 2.6 2.7 2.6 2.7 2.5 2.5 6.4 5.2 2.7 3.3 4.5 2.4 3.8 1.3 2.4 2.6 4.7 2.9 2.8 6.9 7.3 5.0 2.8 3.9 2.6 3.0 5.5 3.1 2.0 4.0 3.1 3.5 2.6 1.5 2.7 2.6 2.8 2.1 4.2 1.3 4.4 6.2 4.7



2000– 2002 3.3 6.6 10.5 18.3 8.1 7.4 4.3 13.2 2.9 8.3 1.4 6.4 8.2 13.7 7.7 6.9 7.9 12.2 6.1 7.1 8.6 1.6 7.0 3.8 6.6 10.8 3.6 7.6 8.0 5.2 6.7 6.1 4.2 5.7 5.2 15.0 10.4 7.1 7.0 8.2 –1.3 9.4 3.6 9.7 9.0 11.9 3.2 4.5 17.1 17.8 8.1 9.7 9.5 6.4 6.8 10.9 4.7 3.6 5.7 8.1 8.6 6.0 7.8 7.3 7.8 5.9 5.7 5.1 4.0 9.7 11.6 9.3



Total2 (mil. dol.) 12,564.8 5,010.5 3,929.9 1,867.4 15,189.7 2,188.7 37,920.8 2,072.2 6,638.4 1,419.3 5,267.7 22,415.0 1,266.7 3,445.5 152,994.5 4,486.0 9,646.3 1,909.9 43,281.3 3,423.2 2,191.2 2,705.2 10,474.1 2,469.6 27,280.3 3,180.5 2,977.1 3,002.1 2,869.6 2,196.7 1,720.8 2,848.5 6,581.4 1,716.6 50,141.1 4,335.0 6,564.0 5,149.3 2,488.9 14,499.2 2,770.7 2,870.0 3,771.5 5,668.3 3,643.9 8,098.7 10,256.6 10,676.2 2,711.2 2,332.3 35,133.6 1,812.4 2,139.7 1,848.2 1,052.7 1,933.2 11,351.8 2,375.3 6,758.8 14,396.8 1,495.1 3,489.1 1,706.0 343,260.8 254,950.3 88,310.5 27,655.8 4,785.7 3,982.8 4,349.3 1,573.3 15,192.9



Manufacturing 21.1 6.1 15.1 9.0 9.3 28.1 15.1 11.1 37.2 (NA) 42.0 2.1 11.3 11.2 13.2 12.9 22.2 5.4 17.1 8.8 10.1 21.4 7.8 23.7 6.7 1.2 33.7 9.5 19.0 9.0 19.8 25.0 27.0 21.2 9.9 6.7 5.9 30.5 10.4 14.5 58.9 17.8 27.0 6.1 20.7 12.7 25.6 16.3 1.4 4.9 3.1 9.0 9.6 24.5 15.2 15.1 20.8 29.5 13.4 8.7 20.5 12.8 25.5 12.3 11.8 13.5 18.6 5.8 28.3 (NA) 9.2 11.6



Health care and social services (NA) (NA) (NA) 7.3 10.5 9.4 10.5 15.2 (NA) (NA) 5.1 9.0 21.0 8.0 (NA) (NA) (NA) 11.3 (NA) (NA) (NA) 11.6 (NA) (NA) 9.7 3.1 11.4 (NA) (NA) 18.0 17.0 14.8 10.6 15.6 (NA) 7.7 8.3 12.2 13.7 11.4 (NA) (NA) (NA) (NA) (NA) 10.9 10.0 9.1 10.2 12.2 6.7 7.4 5.8 14.2 15.1 16.2 (NA) 16.2 (NA) (NA) 6.7 (NA) 11.5 7.7 8.0 6.8 (NA) 15.3 (NA) (NA) 14.1 (NA)



Hartford-West Hartford-East Hartford, CT . Hattiesburg, MS. . . . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . . Holland-Grand Haven, MI . . . . . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . . . . . Hot Springs, AR. . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA Houston-Sugar Land-Baytown, TX . Huntington-Ashland, WV-KY-OH . . . Huntsville, AL . . . . . . . . . . . . . . . Idaho Falls, ID. . . . . . . . . . . . . . . Indianapolis, IN . Iowa City, IA . . . Ithaca, NY . . . . Jackson, MI . . . Jackson, MS . . . Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Jacksonville, FL. . . Jacksonville, NC . . Janesville, WI . . . . Jefferson City, MO . Johnson City, TN . . Johnstown, PA . . .



Jonesboro, AR . . . . . . . . . . . . Joplin, MO . . . . . . . . . . . . . . . Kalamazoo-Portage, MI . . . . . . Kankakee-Bradley, IL . . . . . . . . Kansas City, MO-KS. . . . . . . . . Kennewick-Richland-Pasco, WA . Killeen-Temple-Fort Hood, TX . Kingsport-Bristol-Bristol, TN-VA Kingston, NY. . . . . . . . . . . . . Knoxville, TN . . . . . . . . . . . . Kokomo, IN . . . . . . . . . . . . . La Crosse, WI-MN . . . . . . . . . Lafayette, IN . . . . . . . . . Lafayette, LA . . . . . . . . Lake Charles, LA . . . . . . Lakeland, FL. . . . . . . . . Lancaster, PA . . . . . . . . Lansing-East Lansing, MI Laredo, TX . . . . . . . . . . Las Cruces, NM . . . . . . Las Vegas-Paradise, NV . Lawrence, KS . . . . . . . . Lawton, OK . . . . . . . . . Lebanon, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Lewiston, ID-WA . . . . . . . . . . . Lewiston-Auburn, ME . . . . . . . . Lexington-Fayette, KY . . . . . . . Lima, OH . . . . . . . . . . . . . . . . Lincoln, NE. . . . . . . . . . . . . . . Little Rock-North Little Rock, AR.



Logan, UT-ID . . . . . . . . . . . . . . . . . . . . Longview, TX . . . . . . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Los Angeles-Long Beach-Glendale, CA . Santa Ana-Anaheim-Irvine, CA . . . . . . . Louisville, KY-IN Lubbock, TX . . . Lynchburg, VA. . Macon, GA . . . . Madera, CA . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



164



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-8. Metropolitan Areas — Personal Income and Earnings by Industry—Con.

Personal income Total (mil. dol.) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Per capita1 (dol.) Percent change Earnings, 2002 Percent by selected major industries Professional and technical Retail sertrade vices 9.1 8.0 11.1 13.0 7.5 8.6 8.1 9.7 7.3 7.7 7.5 6.2 5.7 6.0 10.0 8.2 10.5 8.4 7.6 6.5 6.2 8.4 10.4 7.7 10.9 13.0 6.8 9.9 7.5 7.6 6.5 5.2 7.5 8.0 6.3 4.2 7.0 6.5 12.5 11.7 10.8 7.8 7.3 9.0 7.2 7.8 4.6 7.8 7.4 8.0 9.2 8.9 6.5 7.8 6.0 6.5 8.5 6.1 5.8 8.3 6.6 7.0 8.8 8.3 8.6 6.6 10.7 8.4 10.8 7.9 8.4 9.7 9.3 2.5 4.1 4.5 (NA) 2.4 10.0 9.0 10.1 11.1 2.7 6.4 7.6 (NA) 6.9 7.9 4.2 7.7 (NA) 8.7 5.2 (NA) 7.0 4.3 4.0 5.9 6.7 7.9 (NA) 9.4 (NA) 12.5 14.0 9.7 13.0 12.7 3.9 8.3 4.9 4.6 (NA) (NA) (NA) 4.2 (NA) 9.8 3.5 (NA) 7.7 9.6 5.9 (NA) (NA) 6.3 (NA) (NA) 8.7 13.2 (NA) (NA) (NA) 10.4 6.0 (NA) 7.5 8.6 7.1 6.0 5.3 (NA) 8.5 2.7 Government and government enterprises 9.6 16.6 26.7 16.2 14.1 20.8 14.1 14.3 16.1 10.4 16.4 11.7 11.2 12.0 18.7 17.3 17.1 16.3 12.9 29.3 35.2 11.3 19.2 19.4 16.0 13.9 13.6 9.6 10.8 13.2 17.0 12.3 12.8 16.0 13.3 11.4 11.8 31.9 18.0 26.1 17.3 33.0 24.3 42.2 15.1 11.3 11.9 16.8 16.5 17.1 29.3 16.1 23.9 33.4 11.5 12.5 17.5 11.4 11.7 12.6 27.7 11.2 11.4 26.8 17.3 13.3 15.4 22.7 21.6 16.7 14.6 22.7



2002 Manchester-Nashua, NH . . . . Mansfield, OH . . . . . . . . . . . McAllen-Edinburg-Mission, TX Medford, OR . . . . . . . . . . . . Memphis, TN-MS-AR . . . . . . Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,913.6 3,222.1 9,055.6 4,942.0 37,495.9 4,639.7 168,638.8 54,172.8 62,037.2 52,428.8 2,729.4 3,956.2 51,798.5 115,502.5 2,625.5 9,033.4 11,372.1 4,223.5 4,327.9 9,665.0 2,777.6 2,873.3 3,135.4 2,991.6 4,081.8 5,059.5 4,982.9 11,601.4 43,317.3 29,532.1 38,084.9 755,390.0 90,194.1 121,159.1 92,243.4 451,793.5 4,305.2 9,202.7 6,437.0 3,548.9 2,731.9 11,587.1 31,219.1 6,719.3 26,011.7 48,431.4 4,680.6 2,758.6 27,006.3 13,770.3 3,889.4 4,053.5 3,496.6 10,544.0 10,684.9 205,346.1 40,353.4 142,093.2 22,899.6 99,387.0 2,180.1 78,241.3 4,437.1 1,885.6 15,849.1 64,754.8 10,663.2 19,702.1 3,927.1 49,645.1 7,849.6 3,489.2



2001 13,837.2 3,120.4 8,442.8 4,738.3 36,298.8 4,428.9 163,369.5 52,525.8 59,875.9 50,967.8 2,697.7 3,925.1 50,691.3 113,143.2 2,496.5 8,862.8 10,908.2 4,027.0 4,235.2 9,261.0 2,662.6 2,768.9 3,019.7 2,945.2 4,013.0 4,890.1 4,846.4 11,142.5 42,029.7 28,950.3 36,767.1 751,487.5 88,846.9 119,997.0 91,115.8 451,527.8 4,225.8 8,873.6 6,168.0 3,363.4 2,658.1 11,143.7 30,441.2 6,461.3 25,248.8 46,354.1 4,541.8 2,735.7 26,173.3 13,281.4 3,656.7 3,896.9 3,447.1 10,229.2 10,497.9 199,176.5 38,792.0 138,099.2 22,285.4 96,477.3 2,137.7 76,386.0 4,260.2 1,829.9 15,296.1 63,892.2 10,180.8 19,256.5 3,713.4 48,076.4 7,703.8 3,371.5



2000 13,770.0 3,024.2 7,792.9 4,530.9 34,458.8 4,133.9 157,014.7 50,137.6 57,922.3 48,954.8 2,683.0 4,092.3 49,151.3 109,817.8 2,342.8 8,638.2 10,572.6 3,838.8 4,281.3 8,864.9 2,449.0 2,621.0 2,823.4 2,898.1 3,943.4 4,740.0 4,713.5 10,012.0 40,309.3 28,379.2 34,605.7 732,799.3 86,490.0 116,297.9 89,531.3 440,480.0 4,239.4 8,513.5 5,893.9 3,239.4 2,546.5 10,772.1 29,092.1 6,093.0 24,230.4 44,750.8 4,430.8 2,698.4 25,364.4 12,865.5 3,521.8 3,784.6 3,302.6 9,702.7 10,256.6 193,919.1 37,034.7 135,225.3 21,659.1 92,974.8 2,045.5 74,360.8 4,081.8 1,731.7 14,576.1 62,190.0 9,649.8 18,378.4 3,574.1 45,975.9 7,433.3 3,261.5



2002 35,496 25,098 14,769 26,477 30,557 20,623 32,373 31,785 26,780 44,120 24,773 33,728 34,308 37,787 26,823 22,620 23,642 24,857 29,015 27,533 24,576 22,909 29,377 25,313 23,707 24,584 38,361 42,050 32,026 35,339 28,995 40,680 40,183 43,349 43,326 39,629 26,482 35,106 23,637 34,879 22,342 25,168 27,877 30,828 33,200 27,587 29,537 25,014 34,572 27,762 25,536 24,774 22,833 24,884 29,170 35,753 33,300 36,752 34,413 28,481 20,501 32,381 33,263 22,643 31,678 32,167 31,638 30,618 21,936 30,796 19,594 23,689



2000 36,016 23,482 13,578 24,917 28,520 19,533 31,226 30,713 25,627 43,107 24,350 35,422 32,722 36,840 24,383 21,592 23,506 22,581 29,228 25,549 22,018 21,218 27,288 24,421 23,126 23,936 37,834 39,406 30,605 34,400 26,304 39,920 39,625 42,131 42,616 38,937 26,071 32,813 22,643 31,666 21,097 24,212 26,503 29,242 31,509 27,018 28,217 24,530 33,523 26,925 23,757 23,013 21,860 23,507 27,974 34,062 31,157 35,106 33,192 28,365 19,073 30,610 30,278 20,840 29,791 32,127 30,103 29,459 21,153 28,976 19,606 22,995



2001– 2002 0.6 3.3 7.3 4.3 3.3 4.8 3.2 3.1 3.6 2.9 1.2 0.8 2.2 2.1 5.2 1.9 4.3 4.9 2.2 4.4 4.3 3.8 3.8 1.6 1.7 3.5 2.8 4.1 3.1 2.0 3.6 0.5 1.5 1.0 1.2 0.1 1.9 3.7 4.4 5.5 2.8 4.0 2.6 4.0 3.0 4.5 3.1 0.8 3.2 3.7 6.4 4.0 1.4 3.1 1.8 3.1 4.0 2.9 2.8 3.0 2.0 2.4 4.2 3.0 3.6 1.4 4.7 2.3 5.8 3.3 1.9 3.5



2000– 2002 1.0 6.5 16.2 9.1 8.8 12.2 7.4 8.0 7.1 7.1 1.7 –3.3 5.4 5.2 12.1 4.6 7.6 10.0 1.1 9.0 13.4 9.6 11.1 3.2 3.5 6.7 5.7 15.9 7.5 4.1 10.1 3.1 4.3 4.2 3.0 2.6 1.6 8.1 9.2 9.6 7.3 7.6 7.3 10.3 7.4 8.2 5.6 2.2 6.5 7.0 10.4 7.1 5.9 8.7 4.2 5.9 9.0 5.1 5.7 6.9 6.6 5.2 8.7 8.9 8.7 4.1 10.5 7.2 9.9 8.0 5.6 7.0



Total2 (mil. dol.) 10,750.9 2,514.4 6,180.3 3,245.9 31,854.0 2,869.6 112,053.7 33,309.3 50,944.3 27,800.1 1,853.2 2,943.9 41,648.4 97,006.7 2,149.7 7,189.1 7,552.9 3,104.3 2,297.9 7,550.3 2,177.3 2,001.5 2,061.3 2,139.1 2,765.4 3,552.6 3,449.5 5,578.8 36,629.1 20,928.7 29,088.4 599,666.9 61,962.4 69,335.7 69,121.8 399,247.0 3,021.4 7,294.7 3,255.3 1,720.5 2,088.7 7,696.1 24,858.7 4,175.5 20,867.0 39,861.7 4,221.4 2,000.3 17,215.4 8,962.0 2,734.2 3,003.7 2,281.2 6,889.0 7,960.4 156,460.5 26,398.5 110,653.5 19,408.6 79,135.8 1,555.0 58,326.4 2,938.2 1,347.4 11,742.5 51,231.7 4,540.6 11,879.7 1,919.1 32,998.6 6,008.9 2,145.2



Manufacturing 20.3 34.5 4.9 9.2 10.3 13.6 5.2 5.6 4.9 5.4 24.6 3.4 20.4 14.2 6.2 12.7 13.4 13.2 32.3 9.9 9.5 38.3 13.5 22.1 27.2 5.4 19.1 2.3 13.1 14.9 7.8 6.4 11.2 7.9 11.6 4.5 33.2 18.6 11.7 1.9 10.3 14.6 13.4 4.0 7.5 6.5 42.3 24.9 16.6 16.7 5.5 (NA) 33.7 5.3 25.0 12.1 12.4 12.2 11.0 11.2 21.2 13.9 16.8 12.9 9.4 15.5 5.4 16.7 6.1 16.0 12.5 10.6



Health care and social services 9.9 11.3 18.3 14.0 (NA) 8.8 9.7 9.3 9.3 11.1 12.5 6.3 11.6 8.2 15.6 11.0 11.6 (NA) 6.5 (NA) (NA) (NA) 8.8 17.9 12.8 8.1 9.8 10.8 (NA) 13.4 (NA) 9.3 8.7 12.7 8.5 8.9 9.2 9.2 12.4 9.5 8.5 7.7 (NA) 10.8 (NA) 9.3 9.5 (NA) 7.2 11.4 13.1 (NA) 6.6 12.5 (NA) 11.3 11.3 11.7 9.1 8.4 (NA) 12.3 16.7 (NA) 13.0 9.0 14.3 12.1 11.7 13.0 8.8 17.3



Miami-Fort Lauderdale-Miami Beach, FL . . . . . . . . . . Fort Lauderdale-Pompano Beach-Deerfield Beach, FL. Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . West Palm Beach-Boca Raton-Boynton Beach, FL . . . Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . Minneapolis-St. Paul-Bloomington, MN-WI Missoula, MT . . . . . . . . . . . . . . . . . . . Mobile, AL . . . . . . . . . . . . . . . . . . . . . Modesto, CA. . . . . . . . . . . . . . . . . . . . Monroe, LA . . . . . . . . . . . . . . . . . . . . Monroe, MI . . . . . . . . . . . . . Montgomery, AL . . . . . . . . . Morgantown, WV . . . . . . . . . Morristown, TN . . . . . . . . . . Mount Vernon-Anacortes, WA Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Muskegon-Norton Shores, MI. . . . . . . . . . . . Myrtle Beach-Conway-North Myrtle Beach, SC Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . Naples-Marco Island, FL . . . . . . . . . . . . . . . Nashville-Davidson-Murfreesboro, TN . . . . . . New Haven-Milford, CT. . . . . . . . . . . . . . . .



New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA Edison, NJ. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nassau-Suffolk, NY . . . . . . . . . . . . . . . . . . . . . . . . . Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . Niles-Benton Harbor, MI . Norwich-New London, CT Ocala, FL . . . . . . . . . . . Ocean City, NJ . . . . . . . Odessa, TX . . . . . . . . . Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Oklahoma City, OK . . . . . . . Olympia, WA. . . . . . . . . . . . Omaha-Council Bluffs, NE-IA . Orlando-Kissimee, FL . . . . . . Oshkosh-Neenah, WI . . . . . . Owensboro, KY . . . . . . . . . .



Oxnard-Thousand Oaks-Ventura, CA. Palm Bay-Melbourne-Titusville, FL . . Panama City-Lynn Haven, FL . . . . . Parkersburg-Marietta-Vienna, WV-OH Pascagoula, MS . . . . . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Peoria, IL . . . . . . . . . . . . . . . . . . Philadelphia-Camden-Wilmington, Camden, NJ . . . . . . . . . . . . . . Philadelphia, PA . . . . . . . . . . . . Wilmington, DE-MD-NJ . . . . . . . Phoenix-Mesa-Scottsdale, AZ . . . .



........... PA-NJ-DE-MD . ........... ........... ........... ........... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Pine Bluff, AR . . . . . . . . . . . . . . . . . . Pittsburgh, PA . . . . . . . . . . . . . . . . . . Pittsfield, MA. . . . . . . . . . . . . . . . . . . Pocatello, ID . . . . . . . . . . . . . . . . . . . Portland-South Portland-Biddeford, ME . Portland-Vancouver-Beaverton, OR-WA .



Port St. Lucie-Fort Pierce, FL. . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA. Provo-Orem, UT . . . . . . . . . . . . . . . . . . Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



165



Table B-8. Metropolitan Areas — Personal Income and Earnings by Industry—Con.

Personal income Total (mil. dol.) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Per capita1 (dol.) Percent change Earnings, 2002 Percent by selected major industries Professional and technical Retail sertrade vices 12.1 6.4 7.5 9.0 7.7 10.8 7.7 6.2 9.4 8.1 5.8 6.4 6.8 7.8 7.1 7.5 7.5 9.9 13.1 8.2 6.2 7.3 7.5 8.3 7.5 7.5 7.9 6.7 6.4 6.5 7.1 6.0 4.9 9.9 8.0 9.7 10.7 8.5 9.6 7.7 8.5 6.4 6.3 7.8 5.4 9.9 7.1 6.7 8.2 7.2 7.7 9.6 6.0 7.7 10.7 10.2 6.5 9.4 6.5 6.6 6.3 8.2 11.1 10.1 7.3 8.1 4.9 8.0 7.4 7.2 12.1 6.9 4.8 (NA) 4.3 7.2 5.9 7.0 (NA) 4.6 (NA) 4.2 (NA) 3.6 2.6 3.3 8.3 3.8 (NA) 4.5 (NA) (NA) 4.1 5.3 (NA) (NA) (NA) (NA) 12.6 2.4 15.9 11.6 19.5 17.9 7.3 10.1 10.0 10.0 8.0 10.0 5.3 5.1 9.3 10.1 4.4 3.8 3.5 (NA) (NA) 4.1 6.5 4.1 6.5 6.3 5.2 (NA) 3.2 6.3 4.2 2.0 7.1 (NA) 9.1 2.9 0.0 (NA) (NA) 13.9 7.1 (NA) 3.8 5.7 Government and government enterprises 13.7 12.8 17.1 26.3 11.3 20.2 14.7 19.4 21.5 13.7 9.3 14.2 10.6 16.7 14.2 28.7 12.6 15.4 14.8 17.5 12.8 30.4 21.8 21.2 15.6 27.5 22.9 22.8 13.9 12.6 14.7 11.0 7.6 21.1 19.8 16.1 26.0 13.5 9.6 19.7 14.2 14.4 12.0 30.6 9.8 12.5 23.8 12.2 9.4 10.7 13.9 20.3 32.8 19.6 13.2 16.0 42.4 19.9 36.4 17.0 40.0 13.0 19.4 23.1 15.5 23.4 24.0 24.6 9.6 24.6 12.5



2002 Punta Gorda, FL . Racine, WI . . . . . Raleigh-Cary, NC. Rapid City, SD . . Reading, PA . . . . Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,036.1 5,784.9 28,613.4 3,170.7 11,261.6 4,557.8 13,424.7 36,060.6 84,300.7 8,467.4 5,740.8 31,716.1 8,861.0 3,548.4 2,346.2 59,829.2 5,305.5 4,593.0 1,994.4 2,939.5 88,409.5 9,031.8 13,091.5 2,712.2 28,540.0 2,683.6 48,883.8 101,292.6 2,378.3 195,395.7 99,477.9 95,917.7 79,595.9 7,598.5 13,701.2 9,707.0 4,417.5 17,390.9 23,264.5 8,449.1 15,279.3 118,739.4 97,371.9 21,367.6 3,465.0 2,644.2 9,789.4 3,869.2 6,223.3 8,946.7 6,522.8 11,381.7 6,416.5 20,066.2 9,705.3 3,761.6 3,560.3 14,788.5 2,269.9 18,422.8 8,547.0 73,985.8 3,934.4 3,128.5 18,891.5 6,401.5 14,581.7 22,213.3 26,827.2 4,871.5 5,144.5



2001 3,797.4 5,657.8 28,270.9 3,045.2 10,959.6 4,311.7 13,136.0 35,207.5 80,077.1 8,182.9 5,501.3 31,203.1 8,668.6 3,532.2 2,245.5 57,496.5 5,254.6 4,379.4 1,877.4 2,860.7 86,138.5 8,733.1 12,699.2 2,639.5 27,936.7 2,624.0 47,317.4 97,140.8 2,340.4 200,184.6 100,157.3 100,027.3 85,585.6 7,300.0 13,271.7 9,841.4 4,147.3 17,208.7 22,345.3 8,126.7 14,901.3 117,090.2 96,461.0 20,629.1 3,360.9 2,609.3 9,490.3 3,816.4 5,977.4 8,704.1 6,327.3 11,071.9 6,266.3 19,420.4 9,332.9 3,762.7 3,393.9 14,273.6 2,176.3 17,726.0 8,287.8 71,521.8 3,838.1 3,008.6 18,451.8 6,233.3 14,262.8 21,245.6 26,335.8 4,704.6 4,945.6



2000 3,649.6 5,438.8 27,062.3 2,917.6 10,778.2 4,004.8 12,418.4 33,603.1 74,787.1 7,807.6 5,102.7 30,455.4 8,721.7 3,421.7 2,110.1 54,235.5 5,373.9 4,219.4 1,751.9 2,815.6 84,221.8 8,515.3 12,097.1 2,502.6 27,080.5 2,522.8 45,996.8 92,654.0 2,280.3 199,988.7 98,208.6 101,780.0 92,947.2 6,801.0 12,911.0 10,014.5 3,846.0 16,778.0 21,027.0 7,879.3 14,643.0 115,202.9 95,786.2 19,416.7 3,249.5 2,559.0 9,064.5 3,712.3 5,648.3 8,314.8 6,189.6 10,890.5 5,995.6 18,765.8 8,792.1 3,734.9 3,266.2 13,757.1 2,150.1 17,565.9 7,957.5 68,891.0 3,771.5 2,884.8 18,305.4 6,022.6 13,871.7 20,513.6 24,984.0 4,516.7 4,922.0



2002 26,932 30,331 33,293 27,429 29,531 26,532 36,763 32,067 24,073 29,283 33,829 30,499 27,138 24,650 25,337 31,069 25,297 26,626 20,059 23,885 32,462 25,214 31,842 24,312 28,674 25,556 27,368 34,872 30,155 46,920 40,516 56,120 45,925 30,145 34,103 38,323 32,932 37,331 37,509 28,054 27,602 38,037 40,735 29,221 30,612 23,274 25,984 27,112 31,947 28,153 25,182 26,637 31,430 29,302 25,622 26,159 25,394 24,119 21,577 28,257 26,302 29,728 23,196 23,931 28,612 28,398 40,711 25,278 30,627 25,152 28,466



2000 25,653 28,779 33,658 25,819 28,783 24,445 36,026 30,548 22,810 27,073 31,044 29,329 27,169 23,919 23,240 29,993 25,596 25,104 19,206 22,718 31,174 24,453 30,015 22,832 27,852 23,864 26,752 32,797 28,652 48,347 40,853 58,746 53,408 27,459 32,298 39,153 29,627 36,447 35,476 26,863 26,171 37,746 40,793 27,582 28,819 23,052 24,103 25,953 30,005 26,228 24,331 26,012 29,745 27,578 23,789 25,825 24,020 24,213 20,528 27,007 24,791 28,655 22,081 22,237 27,767 26,787 39,455 24,172 29,008 23,362 28,061



2001– 2002 6.3 2.2 1.2 4.1 2.8 5.7 2.2 2.4 5.3 3.5 4.4 1.6 2.2 0.5 4.5 4.1 1.0 4.9 6.2 2.8 2.6 3.4 3.1 2.8 2.2 2.3 3.3 4.3 1.6 –2.4 –0.7 –4.1 –7.0 4.1 3.2 –1.4 6.5 1.1 4.1 4.0 2.5 1.4 0.9 3.6 3.1 1.3 3.2 1.4 4.1 2.8 3.1 2.8 2.4 3.3 4.0 (Z) 4.9 3.6 4.3 3.9 3.1 3.4 2.5 4.0 2.4 2.7 2.2 4.6 1.9 3.5 4.0



2000– 2002 10.6 6.4 5.7 8.7 4.5 13.8 8.1 7.3 12.7 8.5 12.5 4.1 1.6 3.7 11.2 10.3 –1.3 8.9 13.8 4.4 5.0 6.1 8.2 8.4 5.4 6.4 6.3 9.3 4.3 –2.3 1.3 –5.8 –14.4 11.7 6.1 –3.1 14.9 3.7 10.6 7.2 4.3 3.1 1.7 10.0 6.6 3.3 8.0 4.2 10.2 7.6 5.4 4.5 7.0 6.9 10.4 0.7 9.0 7.5 5.6 4.9 7.4 7.4 4.3 8.4 3.2 6.3 5.1 8.3 7.4 7.9 4.5



Total2 (mil. dol.) 1,651.3 3,623.2 21,797.8 2,317.7 7,792.6 2,969.6 9,640.9 29,156.0 51,718.8 6,725.9 4,973.1 24,169.6 6,826.5 2,585.3 1,698.7 46,801.1 4,494.4 3,745.6 1,273.4 2,059.6 67,284.2 6,184.6 9,355.8 1,945.1 26,381.4 1,857.7 38,016.2 79,407.3 1,766.2 154,842.3 69,615.7 85,226.7 79,958.9 4,765.5 9,510.6 5,552.5 2,850.0 10,772.7 11,932.5 6,014.2 10,501.7 101,196.1 88,193.4 13,002.7 2,745.0 1,765.6 7,235.0 3,073.2 5,212.0 6,409.0 5,388.9 8,664.1 5,247.6 13,173.6 7,306.0 2,174.4 3,022.3 9,658.8 1,715.3 14,464.1 6,956.0 52,941.9 2,726.6 2,140.4 14,985.4 4,832.4 12,976.7 14,887.1 21,220.8 3,635.8 3,983.9



Manufacturing 2.5 36.2 9.9 7.1 24.4 5.1 8.1 10.4 10.6 (NA) 20.2 24.1 30.8 24.3 26.7 7.2 31.6 19.3 6.0 18.1 (NA) 9.2 5.1 10.8 10.1 10.1 6.5 9.9 32.1 8.2 12.4 4.7 29.3 6.6 9.4 9.6 2.6 15.8 8.4 14.7 17.8 14.1 15.0 8.4 46.3 24.3 10.8 (NA) 10.2 23.5 32.9 10.1 3.4 14.3 15.1 25.3 10.5 10.0 21.3 16.3 2.5 7.4 21.7 13.0 23.5 9.3 4.4 13.3 21.0 21.2 13.2



Health care and social services 19.4 11.4 6.6 (NA) 10.0 16.1 (NA) (NA) 9.5 (NA) (NA) (NA) (NA) (NA) 16.5 8.1 13.3 (NA) 12.6 (NA) (NA) 12.8 6.6 (NA) (NA) 14.8 (NA) 7.0 9.5 7.3 9.4 5.6 5.3 10.0 8.7 9.5 9.6 10.3 13.1 (NA) 14.4 7.6 6.9 12.6 9.1 16.0 (NA) (NA) (NA) (NA) 7.2 14.6 (NA) 14.2 (NA) 14.0 7.8 9.8 8.5 (NA) (NA) 11.0 (NA) 16.1 (NA) (NA) 8.3 11.6 (NA) (NA) 17.9



Reno-Sparks, NV. . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . . . . . . Riverside-San Bernardino-Ontario, CA . Roanoke, VA. . . . . . . . . . . . . . . . . . Rochester, MN . . . . . . . . . . . . . . . . Rochester, NY. . . . . . . . . . . . . . . . .



Rockford, IL . . . . . . . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . Sacramento-Arden-Arcade-Roseville, CA . Saginaw-Saginaw Township North, MI . . . St. Cloud, MN . . . . . . . . . . . . . . . . . . . St. George, UT . . . St. Joseph, MO-KS St. Louis, MO-IL4 . . Salem, OR . . . . . . Salinas, CA . . . . . Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Salt Lake City, UT . . . . . . . . . . . . . San Angelo, TX . . . . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA Sandusky, OH . . . . . . . . . . . . . . . .



San Francisco-Oakland-Fremont, CA . . . Oakland-Fremont-Hayward, CA . . . . . . . San Francisco-San Mateo-Redwood City, San Jose-Sunnyvale-Santa Clara, CA . . . . San Luis Obispo-Paso Robles, CA . . . . . . Santa Barbara-Santa Maria, CA . . . . . . . . Santa Cruz-Watsonville, CA. . . Santa Fe, NM . . . . . . . . . . . . Santa Rosa-Petaluma, CA. . . . Sarasota-Bradenton-Venice, FL Savannah, GA . . . . . . . . . . . Scranton-Wilkes-Barre, PA . . . Seattle-Tacoma-Bellevue, WA Seattle-Bellevue-Everett, WA Tacoma, WA . . . . . . . . . . . Sheboygan, WI . . . . . . . . . . . Sherman-Denison, TX . . . . . . Shreveport-Bossier City, LA . . . Sioux City, IA-NE-SD . . Sioux Falls, SD . . . . . . South Bend-Mishawaka, Spartanburg, SC . . . . . Spokane, WA . . . . . . . Springfield, IL . . . . . . . Springfield, MA . . Springfield, MO . . Springfield, OH . . State College, PA Stockton, CA . . . Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..... ..... IN-MI . ..... ..... ..... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



... ... CA. ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Syracuse, NY . . . . . . . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Terre Haute, IN . . . . . . . . . . . . . . . Texarkana, TX-Texarkana, AR . . . . . Toledo, OH . . . . . . . . . . . . . . . . . . Topeka, KS. . . . . . Trenton-Ewing, NJ . Tucson, AZ . . . . . . Tulsa, OK. . . . . . . Tuscaloosa, AL . . . Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



166



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Table B-8. Metropolitan Areas — Personal Income and Earnings by Industry—Con.

Personal income Total (mil. dol.) Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Per capita1 (dol.) Percent change Earnings, 2002 Percent by selected major industries Professional and technical Retail sertrade vices 7.8 9.7 9.6 11.4 9.5 9.2 5.8 8.1 7.7 5.8 4.5 5.8 4.2 7.6 8.5 6.5 9.8 8.8 6.4 7.5 8.6 9.5 9.1 7.3 7.2 7.9 8.0 9.3 9.0 7.1 4.2 (NA) 3.5 7.2 1.0 3.4 (NA) 3.0 3.9 6.0 20.3 18.8 20.6 4.3 (NA) 2.1 3.4 (NA) (NA) (NA) 3.7 (NA) 3.7 (NA) 8.3 3.2 4.4 3.5 4.1 1.8 Government and government enterprises 25.4 34.3 29.2 13.1 14.4 25.8 38.3 22.9 17.3 61.1 27.6 21.0 29.1 15.6 10.6 12.5 21.2 17.0 12.7 34.5 16.8 19.4 11.6 9.5 14.4 19.3 11.4 13.8 32.9 28.2



2002 Utica-Rome, NY . . . . . . . . . . Valdosta, GA. . . . . . . . . . . . . Vallejo-Fairfield, CA . . . . . . . . Vero Beach, FL . . . . . . . . . . . Victoria, TX. . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,348.1 2,789.7 11,912.2 4,698.7 2,908.0 3,823.1 45,773.2 8,075.5 5,211.8 3,027.2 214,440.7 54,247.0 160,193.7 4,354.1 3,691.6 3,072.2 2,644.2 3,776.1 17,158.2 3,981.8 2,980.1 7,688.7 2,955.0 12,775.1 25,579.7 5,323.7 11,221.5 15,107.5 3,416.5 3,430.7



2001 7,148.2 2,595.3 11,600.9 4,547.6 2,873.0 3,609.3 43,856.4 7,739.3 5,007.0 2,828.4 208,097.5 52,263.5 155,834.1 4,204.5 3,555.4 2,981.9 2,523.1 3,679.6 16,829.5 3,822.3 2,932.1 7,476.7 2,837.4 12,500.1 25,377.0 5,120.1 10,890.7 14,748.6 3,251.6 2,967.9



2000 7,046.6 2,484.7 10,953.3 4,207.7 2,809.3 3,421.0 39,634.8 7,218.7 4,862.0 2,713.5 196,093.1 50,002.5 146,090.6 4,055.9 3,430.6 2,937.2 2,377.9 3,539.9 15,918.1 3,712.3 2,761.9 7,118.2 2,648.9 12,412.4 24,539.3 4,916.1 11,018.5 14,805.9 3,093.9 2,653.8



2002 24,668 23,059 29,089 39,830 25,844 25,856 28,365 21,193 24,003 25,876 42,773 48,517 41,124 26,846 29,103 23,750 26,321 24,993 29,587 26,583 25,096 26,753 27,308 29,485 33,229 23,714 28,810 25,358 23,617 20,561



2000 23,520 20,765 27,579 37,114 25,162 23,371 26,355 19,571 22,719 24,378 40,665 46,541 38,980 24,795 27,248 22,307 23,923 23,159 27,828 24,513 23,029 25,820 25,577 29,323 32,604 22,074 28,790 24,588 22,177 16,513



2001– 2002 2.8 7.5 2.7 3.3 1.2 5.9 4.4 4.3 4.1 7.0 3.0 3.8 2.8 3.6 3.8 3.0 4.8 2.6 2.0 4.2 1.6 2.8 4.1 2.2 0.8 4.0 3.0 2.4 5.1 15.6



2000– 2002 4.3 12.3 8.8 11.7 3.5 11.8 9.9 11.9 7.2 11.6 9.4 8.5 9.7 7.4 7.6 4.6 11.2 6.7 7.8 7.3 7.9 8.0 11.6 2.9 4.2 8.3 1.8 2.0 10.4 29.3



Total2 (mil. dol.) 5,029.9 2,002.8 6,428.8 1,797.6 2,147.8 2,782.8 37,209.0 5,492.3 4,010.4 2,638.3 193,515.6 36,321.8 157,193.8 3,389.5 2,955.5 1,992.1 1,809.9 2,399.5 13,708.3 2,921.3 2,155.1 5,045.8 2,230.6 9,630.0 16,585.1 3,654.2 7,481.4 10,129.2 2,149.5 2,591.1



Manufacturing 13.2 (NA) 9.3 6.2 (NA) 19.4 (NA) 8.9 18.0 6.6 (NA) 5.3 (NA) 26.6 28.1 32.6 5.9 13.1 32.5 14.0 29.1 11.1 26.4 19.8 17.5 11.4 29.5 27.2 6.4 3.2



Health care and social services 13.8 (NA) 11.4 16.5 (NA) 11.7 (NA) 7.0 10.5 4.8 (NA) 8.0 (NA) (NA) 8.7 (NA) 14.8 (NA) 10.9 11.2 12.8 (NA) (NA) (NA) 12.6 13.2 10.6 14.1 11.3 8.0



Virginia Beach-Norfolk-Newport News, VA-NC. . . . . Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV Bethesda-Gaithersburg-Frederick, MD . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV . Waterloo-Cedar Falls, IA . . . . Wausau, WI . . . . . . . . . . . . Weirton-Steubenville, WV-OH. Wenatchee, WA . . . . . . . . . Wheeling, WV-OH . . . . . . . . Wichita, KS. . . . . . . . . . . . . Wichita Falls, TX . . Williamsport, PA . . Wilmington, NC . . . Winchester, VA-WV Winston-Salem, NC Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Yakima, WA . . . . . . . . . . . . . York-Hanover, PA . . . . . . . . . Youngstown-Warren-Boardman, Yuba City, CA . . . . . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . . NA Not available.

1



...... ...... OH-PA . ...... ......



Z Less than .05%.



Based on resident population estimated as of July 1, 2000 and 2002. 2 Includes construction; wholesale; transportation and warehousing; information; finance and insurance; management of companies and enterprises; administrative and waste services; educational services; arts, entertainment, and recreation; accommodation and food services; and other services (except public administration); not shown separately. 3 The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield city is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 4 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA. Note: Covers metropolitan statistical areas and metropolitan divisions and component counties defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . Survey, Census, or Data Collection Method: Based on the Regional Economic Information System; for more information, see Appendix B, Limitations of the Data and Methodology, and also and . Source: Personal income and earnings—U.S. Bureau of Economic Analysis, Regional Economic Information System (REIS) 1969–2002 on CD-ROM, and related Internet site at .



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167



Table B-9. Metropolitan Areas — Labor Force and Private Business Establishments and



Employment

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national average 66.0 94.4 77.2 94.1 85.2 72.9 96.5 73.7 79.8 70.7 121.1 78.1 77.6 118.3 71.3 91.6 76.2 73.0 109.3 84.4 68.6 88.0 108.6 87.6 103.8 79.6 89.7 86.7 95.4 85.7 87.3 84.6 77.8 77.2 79.3 96.0 76.6 76.9 72.5 105.7 87.9 130.3 135.2 137.3 108.4 101.8 115.7 76.5 77.6 159.6 58.1 68.7 87.3 74.6 95.3 80.4 81.0 86.1 80.5 89.2 78.7 83.5 79.4 104.4 87.0 82.2 74.5 116.5 117.4 88.9 126.1



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division



Total



Establishments



Employment2



2004 Abilene, TX. . . . . . . . . . . . . Akron, OH . . . . . . . . . . . . . Albany, GA . . . . . . . . . . . . . Albany-Schenectady-Troy, NY Albuquerque, NM. . . . . . . . . Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,240 373,273 72,439 452,566 391,796 64,660 404,991 65,809 128,349 46,560 178,647 63,421 83,733 188,183 54,324 121,974 195,625 95,181



Change, 2000– 2004 5,012 9,785 946 16,396 21,567 1,258 19,721 3,446 10,675 −116 9,454 −329 330 2,203 755 4,352 11,225 5,957



2000 75,228 363,488 71,493 436,170 370,229 63,402 385,270 62,363 117,674 46,676 169,193 63,750 83,403 185,980 53,569 117,622 184,400 89,224



2004 3,909 22,354 3,768 19,037 20,513 3,714 21,551 3,633 5,578 1,472 11,388 3,746 5,977 8,160 2,931 5,565 8,373 3,238 112,927 7,483 2,622 13,355 39,391 31,210 61,195 4,271 5,956 21,321 5,096 4,300 15,069 5,803 4,771 2,920 6,556 25,810 1,733 3,155 4,279 3,834 11,626 115,721 48,263 35,826 21,524 10,108 8,181 2,569 7,086 19,943 12,549 2,027 34,122 4,299 4,137 13,547 9,556 1,355 1,485 6,936 5,249 6,874 15,514 43,513 2,917 11,074 1,935 288,055 245,565 18,836 23,654



2000 2004 2000 3,117 14,896 3,372 14,991 15,304 3,297 14,259 2,905 4,492 876 8,995 1,908 2,492 4,422 2,428 3,352 6,027 2,891 73,906 6,007 2,101 9,009 22,662 24,344 50,333 2,844 3,751 16,122 2,921 2,300 11,432 4,567 3,322 3,153 4,468 18,563 1,344 2,361 2,723 2,893 9,376 59,626 25,315 17,761 10,130 6,420 3,758 2,138 5,394 9,440 8,890 1,693 24,773 2,194 2,661 8,543 6,699 994 1,438 3,290 4,125 7,643 8,216 24,582 1,822 8,280 1,514 207,287 180,538 11,029 15,720 4.9 6.0 5.2 4.2 5.2 5.7 5.3 5.5 4.3 3.2 6.4 5.9 7.1 4.3 5.4 4.6 4.3 3.4 4.6 5.6 4.2 5.4 5.1 9.8 4.5 5.4 4.8 6.1 7.0 7.6 8.4 5.7 6.7 3.5 5.3 4.8 3.0 4.1 4.6 4.5 4.3 4.9 5.1 4.4 5.7 4.3 4.9 4.4 5.9 4.4 8.8 4.0 5.8 6.2 3.5 6.6 3.9 5.0 3.7 5.1 4.6 5.0 5.3 5.6 3.1 4.4 4.5 6.1 6.2 5.8 5.5 4.1 4.1 4.7 3.4 4.1 5.2 3.7 4.7 3.8 1.9 5.3 3.0 3.0 2.4 4.5 2.8 3.3 3.2 3.1 4.7 3.6 3.9 3.1 8.3 3.8 3.8 3.3 4.8 4.2 4.1 6.5 5.2 5.4 4.1 3.6 3.5 2.5 3.2 3.0 3.4 3.7 2.5 2.6 2.2 2.7 2.9 2.3 3.9 5.1 2.1 7.0 3.6 4.3 3.2 2.3 4.1 3.2 3.8 3.9 2.4 3.6 5.3 3.1 3.4 2.1 3.4 3.8 4.3 4.5 3.4 3.8



Change, 2000– 2002 2002 3,915 17,758 3,357 19,743 18,087 3,337 18,073 3,259 5,767 1,902 9,613 2,686 3,796 8,296 2,570 5,623 10,696 4,035 119,863 6,533 2,077 10,094 33,362 11,268 63,694 4,166 8,596 16,308 2,999 2,571 8,009 5,583 4,947 5,336 5,126 25,867 3,053 3,220 3,880 3,536 14,431 125,649 52,065 42,890 18,610 12,084 10,586 2,670 5,566 28,385 6,046 2,830 27,248 3,308 7,190 9,813 13,768 2,281 2,683 6,539 4,924 7,683 14,660 39,926 5,242 11,266 2,387 230,115 193,284 14,621 22,210 −102 209 65 465 122 50 360 −30 −15 −31 304 −87 71 44 4 141 393 206



2002 54,004 289,151 50,369 317,209 274,426 48,222 288,496 49,193 83,504 27,080 127,135 38,421 55,028 150,487 38,373 105,127 143,332 54,513



Change, 2000– 2002 700 −13,008 −2,499 −2,335 −6,400 −1,518 1,090 −2,658 −1,132 −1,422 4,728 −3,925 −3,970 −6,977 −2,241 −4,285 −3,900 93 −71,597 5,370 1,036 3,198 −1,246 3,875 4,762 585 2,153 −2,560 −4,484 −1,521 −3,222 −1,186 2,500 −273 −279 −14,705 224 −2,990 −1,309 −4,113 356 −49,269 7,193 −55,942 −5,859 5,339 −14,352 −185 1,929 17,612 2,009 360 −7,791 −5,268 2,176 −6,243 12,753 −2,042 564 −5,614 −1,619 5,265 −10,806 11,439 151 −3,746 679 −214,298 −209,928 −12,061 7,691



Amount (dollars) 23,141 33,118 27,068 33,012 29,893 25,561 33,849 25,870 28,006 24,796 42,496 27,403 27,213 41,491 25,003 32,127 26,716 25,608 38,356 29,592 24,053 30,887 38,111 30,746 36,431 27,924 31,479 30,399 33,473 30,078 30,638 29,662 27,299 27,071 27,827 33,683 26,888 26,983 25,449 37,082 30,840 45,709 47,418 48,173 38,024 35,730 40,589 26,830 27,229 56,000 20,372 24,090 30,621 26,162 33,430 28,198 28,422 30,207 28,243 31,298 27,601 29,301 27,869 36,636 30,515 28,839 26,133 40,878 41,171 31,179 44,236



Allentown-Bethlehem-Easton, PA-NJ . Altoona, PA . . . . . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . . Anderson, IN . . . . . . . . . . . . . . . . Anderson, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . Anniston-Oxford, AL . . . . . Appleton, WI . . . . . . . . . . Asheville, NC . . . . . . . . . Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Atlanta-Sandy Springs-Marietta, GA Atlantic City, NJ . . . . . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . Augusta-Richmond County, GA-SC . Austin-Round Rock, TX. . . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Baltimore-Towson, MD Bangor, ME . . . . . . . Barnstable Town, MA . Baton Rouge, LA . . . . Battle Creek, MI . . . . Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 2,454,115 . 134,390 . 62,818 . 246,659 . 778,097 . 318,655 . 1,346,001 . 78,822 . 123,131 . 351,569 . 73,138 . 56,851 . . . . . . . . . . . 179,733 100,935 71,064 82,549 122,618 533,028 58,320 76,157 93,852 84,940 267,602



81,620 2,372,495 5,422 128,968 3,984 58,834 13,528 233,131 39,898 738,199 24,212 294,443 20,017 1,325,984 3,623 75,199 9,761 113,370 12,673 338,896 3,360 69,778 107 56,744 3,138 12,623 9,492 6,159 −2,475 −1,665 3,642 3,392 2,877 −412 16,176 176,595 88,312 61,572 76,390 125,093 534,693 54,678 72,765 90,975 85,352 251,426



4,148 2,066,678 156 125,928 85 33,307 87 180,422 1,540 549,172 375 154,185 1,445 1,049,283 −7 57,427 257 74,340 227 278,604 −30 56,235 15 33,815 −98 197 457 140 27 233 81 79 −4 −6 746 125,925 58,451 45,386 60,549 91,069 450,925 42,337 46,201 55,529 78,612 198,012



Beaumont-Port Arthur, TX Bellingham, WA. . . . . . . Bend, OR . . . . . . . . . . . Billings, MT. . . . . . . . . . Binghamton, NY . . . . . . Birmingham-Hoover, AL .



Bismarck, ND . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA Bloomington, IN. . . . . . . . . . . . . . . . Bloomington-Normal, IL. . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . .



Boston-Cambridge-Quincy, MA-NH . . . . . Boston-Quincy, MA . . . . . . . . . . . . . . . . Cambridge-Newton-Framingham, MA . . . . Essex County, MA . . . . . . . . . . . . . . . . Rockingham County-Strafford County, NH. Boulder, CO3 . . . . . . . . . . . . . . . . . . . . . Bowling Green, KY. . . . . . . . . . Bremerton-Silverdale, WA . . . . . Bridgeport-Stamford-Norwalk, CT Brownsville-Harlingen, TX . . . . . Brunswick, GA . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . . Burlington, NC. . . . . . . . . . . . Burlington-South Burlington, VT Canton-Massillon, OH. . . . . . . Cape Coral-Fort Myers, FL . . . Carson City, NV. . . . . . . . . . . Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 2,373,906 . 950,724 . 811,419 . 375,684 . 236,079 . 166,160 . . . . . . . . . . . . . . . . . . 57,773 121,067 454,667 143,006 50,236 586,572 69,671 118,840 204,989 247,719 27,240 39,872 137,073 114,737 138,639 290,125 778,270 93,585



−5,419 2,379,325 −9,025 959,749 −10,782 822,201 3,117 372,567 11,271 224,808 6,040 160,120 2,605 14,736 8,869 15,832 3,694 7,365 583 5,325 −1,176 40,332 738 3,335 817 −556 −6,570 25,386 46,975 5,961 55,168 106,331 445,798 127,174 46,542 579,207 69,088 113,515 206,165 207,387 26,502 36,537 136,256 115,293 145,209 264,739 731,295 87,624



273 2,303,251 159 1,063,635 −184 797,012 22 276,507 276 166,097 −542 143,549 68 326 −202 250 56 412 −40 576 −151 1,375 −69 58 95 62 −162 590 1,129 232 44,221 51,818 462,542 88,506 34,394 469,860 54,710 97,612 163,383 155,807 22,743 28,121 118,162 76,004 123,444 208,693 734,833 70,948



Cedar Rapids, IA . . . . . . . . . . . . . . Champaign-Urbana, IL . . . . . . . . . . Charleston, WV . . . . . . . . . . . . . . . Charleston-North Charleston, SC . . . Charlotte-Gastonia-Concord, NC-SC . Charlottesville, VA . . . . . . . . . . . . .



Chattanooga, TN-GA . . . . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI . . Chicago-Naperville-Joliet, IL . . . . . . Gary, IN . . . . . . . . . . . . . . . . . . . Lake County-Kenosha County, IL-WI See footnotes at end of table.



. 249,313 . 42,699 . 4,733,077 . 3,982,271 . 323,188 . 427,618



2,641 246,672 2,464 40,235 −34,733 4,767,810 −40,199 4,022,470 −3,192 326,380 8,658 418,960



−69 208,768 99 27,580 2,515 4,028,005 1,537 3,431,123 221 230,582 757 366,300



168



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-9. Metropolitan Areas — Labor Force and Private Business Establishments and Employment—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national average 68.6 99.3 68.0 78.7 100.2 74.8 70.5 91.0 75.8 83.8 75.8 103.2 99.5 79.6 97.7 70.8 112.2 118.1 96.3 87.4 78.4 71.8 88.7 92.2 79.5 90.3 68.4 112.1 97.0 118.1 115.7 119.6 74.6 75.7 77.2 78.4 111.9 77.5 72.3 74.6 91.2 75.7 66.7 80.0 82.7 87.1 101.3 79.3 81.7 71.4 81.8 70.2 95.9 77.5 67.1 81.6 90.1 73.1 73.5 92.3 83.1 67.3 74.9 87.7 78.8 69.9 70.9 77.8 96.4 65.2 91.0 92.7 87.9 73.1



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division



Total



Establishments



Employment2



2004 Chico, CA. . . . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN Clarksville, TN-KY . . . . . . . . . . Cleveland, TN . . . . . . . . . . . . . Cleveland-Elyria-Mentor, OH . . . Coeur d’Alene, ID . . . . . . . . . . College Station-Bryan, TX . Colorado Springs, CO. . . . Columbia, MO . . . . . . . . . Columbia, SC . . . . . . . . . Columbus, GA-AL . . . . . . Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,004 . 1,083,362 . 102,692 . 53,322 . 1,100,716 . 63,799 . . . . . . 101,571 296,726 90,576 349,852 123,146 36,213



Change, 2000– 2004



2000



2004 7,055 57,394 5,451 2,751 64,815 3,510 4,534 16,817 3,374 20,019 6,366 1,578 49,559 13,201 2,296 2,843 174,761 119,670 55,091 2,631 3,128 3,884 10,843 26,693 4,420 3,780 10,580 74,633 13,531 157,141 78,785 78,356 3,093 2,479 2,310 8,497 10,586 4,115 10,212 2,763 4,169 2,463 22,700 8,886 12,783 8,322 2,855 3,267 3,250 7,852 7,522 3,667 17,807 7,813 4,341 2,635 7,511 6,807 3,220 10,868 42,464 2,977 4,421 2,983 3,194 2,806 2,046 3,533 27,876 1,643 5,829 8,098 19,985 4,639



2000 2004 2000 5,725 37,266 4,094 1,990 42,886 3,520 3,602 7,802 1,872 10,224 5,621 943 28,299 9,993 1,627 2,646 102,753 69,063 33,690 2,191 2,306 1,976 8,257 16,701 2,892 2,910 7,065 30,477 6,731 83,515 40,776 42,739 2,704 2,290 1,629 6,349 6,790 2,938 7.2 5.3 5.3 5.2 5.9 5.5 4.5 5.7 3.7 5.7 5.2 4.4 5.4 6.7 5.4 6.3 5.9 6.0 5.6 4.1 8.3 7.4 5.5 6.2 6.1 7.3 4.6 5.8 4.7 7.1 8.6 6.1 4.7 3.6 4.7 5.8 4.4 4.7 6.1 3.6 4.2 3.7 3.8 6.2 3.9 2.8 2.2 3.1 4.5 2.5 3.2 5.4 3.9 5.8 3.6 3.6 3.6 3.5 5.9 3.7 4.1 3.9 3.9 5.2 3.4 2.5 2.4 3.6 4.3 3.2 4.1 3.6 3.3 4.5 2.9 3.5



Change, 2000– 2002 2002 4,758 47,748 4,011 2,127 56,335 3,692 3,903 14,992 4,063 16,195 5,721 1,854 39,642 9,447 1,991 2,312 130,270 90,844 39,426 3,041 1,735 2,440 9,488 18,969 3,191 2,674 11,246 69,993 14,075 105,651 35,955 69,696 3,615 2,991 2,631 7,392 10,675 4,007 2,324 2,282 5,102 1,932 12,403 6,807 9,585 8,824 2,263 5,497 2,588 5,600 8,936 3,608 8,997 4,562 3,325 2,491 8,500 5,940 4,906 10,440 15,553 2,173 5,471 3,531 3,419 2,338 2,573 3,940 18,668 2,510 4,418 7,750 18,139 3,483 161 217 49 −4 −616 29 183 687 51 80 62 −118



2002 56,283 916,575 62,102 38,016 970,650 35,947 54,942 209,821 64,221 267,755 96,507 35,589



Change, 2000– 2002 2,507 −42,072 2,094 −4,146 −86,684 −1,065 3,173 −5,466 −107 −4,301 −8,961 −2,976 −14,365 −3,029 380 326 −45,791 −31,597 −14,194 −2,468 −1,479 −1,301 −9,336 −24,594 −2,527 −6,070 1,917 −6,271 1,334 −106,394 −43,362 −63,032 −26 1,757 −2,792 −2,225 −13 213 182 −1,542 −10,058 −913 −5,869 −4,382 −2,272 −7,360 2,989 329 386 −6,358 12,220 250 −12,362 −1,064 −7,404 −1,724 2,758 −4,344 −587 −12,454 7,232 −1,873 932 −1,170 −1,425 137 −641 −435 −9,506 −48 1,822 −5,111 −20,046 −1,864



Amount (dollars) 24,066 34,824 23,839 27,620 35,139 26,233 24,719 31,919 26,601 29,400 26,593 36,219 34,907 27,916 34,268 24,836 39,359 41,438 33,792 30,650 27,506 25,201 31,101 32,342 27,906 31,668 24,012 39,322 34,027 41,443 40,582 41,965 26,187 26,545 27,073 27,494 39,256 27,195 25,370 26,183 31,994 26,569 23,411 28,066 29,030 30,542 35,531 27,817 28,657 25,048 28,697 24,631 33,644 27,199 23,553 28,632 31,617 25,642 25,798 32,397 29,157 23,601 26,290 30,753 27,640 24,535 24,883 27,293 33,819 22,877 31,914 32,517 30,834 25,662



4,853 93,151 40,454 1,042,908 5,153 97,539 249 53,073 −23,015 1,123,731 7,433 56,366 8,222 20,077 5,829 16,245 −1,897 −1,278 93,349 276,649 84,747 333,607 125,043 37,491



Columbus, OH . . . . . . . . . . Corpus Christi, TX . . . . . . . . Corvallis, OR . . . . . . . . . . . Cumberland, MD-WV . . . . . . Dallas-Fort Worth-Arlington, Dallas-Plano-Irving, TX . . . Fort Worth-Arlington, TX . .



... ... ... ... TX . ... ...



. 916,311 . 197,774 . 42,371 . 45,001 . 2,965,577 . 1,987,225 . 978,352 . . . . . . 63,925 37,470 52,600 196,151 428,304 72,206



37,862 878,449 12,616 185,158 1,080 41,291 −678 45,679 115,774 2,849,803 69,619 1,917,606 46,155 932,197 524 −1,351 −241 −3,743 −1,669 −1,593 63,401 38,821 52,841 199,894 429,973 73,799



1,002 785,150 85 129,676 64 27,638 −15 30,462 3,453 2,501,040 2,020 1,821,159 1,433 679,881 −19 7 −101 −130 41 64,548 27,504 37,675 159,127 358,042 49,518



Dalton, GA . . . . . . . . . . . . . . . . . Danville, IL . . . . . . . . . . . . . . . . . Danville, VA . . . . . . . . . . . . . . . . Davenport-Moline-Rock Island, IA-IL Dayton, OH . . . . . . . . . . . . . . . . Decatur, AL . . . . . . . . . . . . . . . .



Decatur, IL . . . . . . . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, FL Denver-Aurora, CO3 . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . . . . . . . . . . . Detroit-Warren-Livonia, MI. . . . . . . . . . . Detroit-Livonia-Dearborn, MI . . . . . . . . . Warren-Farmington Hills-Troy, MI. . . . . . Dothan, AL . . . Dover, DE . . . Dubuque, IA . . Duluth, MN-WI Durham, NC . . Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 51,956 . 231,766 . 1,296,362 . 290,000 . 2,206,277 . 918,630 . 1,287,647 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,607 69,332 49,054 145,511 241,836 86,973 59,885 52,486 100,003 40,584 290,119 140,830 173,146 180,580 43,514 112,620 53,564 139,622 207,116 67,044 213,704 95,670 66,618 57,401 162,927 132,182 92,689 209,628 409,472 47,268 127,621 78,439 66,679 51,526 54,875 68,915 400,969 39,209 108,615 172,444 357,938 81,156



−4,170 56,126 22,446 209,320 78,429 1,217,933 12,435 277,565 −84,522 2,290,799 −36,307 954,937 −48,215 1,335,862 −240 5,345 220 2,866 10,808 3,613 3,766 3,258 2,728 −2,244 14,845 542 2,269 1,616 2,580 8,073 3,959 6,326 30,685 4,449 −749 4,191 −3,649 1,511 16,577 5,194 12,425 861 20,243 −1,493 5,217 5,226 3,182 814 2,558 10,085 −1,891 922 15,077 9,840 7,777 2,976 65,847 63,987 48,834 142,645 231,028 83,360 56,119 49,228 97,275 42,828 275,274 140,288 170,877 178,964 40,934 104,547 49,605 133,296 176,431 62,595 214,453 91,479 70,267 55,890 146,350 126,988 80,264 208,767 389,229 48,761 122,404 73,213 63,497 50,712 52,317 58,830 402,860 38,287 93,538 162,604 350,161 78,180



−48 51,065 444 133,177 2,614 1,055,380 311 267,473 −250 1,892,160 −56 714,125 −194 1,178,035 54 30 −28 61 154 85 51 104 90 15 93 −156 −105 −86 88 177 101 12 513 150 −120 25 −39 −25 483 113 108 187 273 18 130 169 26 −2 3 46 577 −54 352 112 −85 57 54,812 46,157 47,196 100,026 223,105 63,745 25,535 33,086 108,296 34,242 194,012 118,018 117,253 157,880 24,597 88,369 34,726 87,496 157,773 39,167 139,377 76,853 43,258 43,382 96,336 103,052 57,709 189,584 220,182 32,472 83,414 56,685 43,823 37,854 35,756 42,915 359,094 27,710 58,663 141,024 322,040 53,205



El Centro, CA . . . . Elizabethtown, KY . Elkhart-Goshen, IN. Elmira, NY . . . . . . El Paso, TX . . . . . Erie, PA . . . . . . . .



9,811 17.1 17.5 2,168 5.3 4.4 2,458 4.2 2.5 1,843 6.1 4.3 18,721 7.8 6.8 6,363 6.3 4.5 9,236 5,725 2,453 2,531 2,865 6,169 5,106 2,829 9,607 3,858 3,268 1,666 7.4 4.6 6.6 2.9 6.1 5.6 3.6 5.5 8.3 8.2 6.5 4.6 5.4 3.2 6.0 2.4 5.8 4.6 2.9 4.5 4.5 4.2 4.7 3.0



Eugene-Springfield, OR Evansville, IN-KY . . . . . Fairbanks, AK . . . . . . . Fargo, ND-MN. . . . . . . Farmington, NM. . . . . . Fayetteville, NC . . . . . .



Fayetteville-Springdale-Rogers, AR-MO . Flagstaff, AZ . . . . . . . . . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Florence, SC. . . . . . . . . . . . . . . . . . . Florence-Muscle Shoals, AL. . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Fort Wayne, IN . . . . . . . . . . . . . . . . . Fresno, CA . . . . . . . . . . . . . . . . . . . . Gadsden, AL. . . . . . . . . . . . . . . . . . . Gainesville, FL . . . . Gainesville, GA . . . . Glens Falls, NY . . . . Goldsboro, NC . . . . Grand Forks, ND-MN Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



3,550 4.6 2.4 4,674 5.1 3.7 2,955 3.5 3.7 5,374 5.2 2.6 40,517 10.4 10.4 2,551 6.3 5.2 3,722 2,170 2,508 2,041 1,787 1,824 13,139 1,901 2,430 4,714 12,367 3,337 3.5 3.8 4.8 5.4 3.7 5.1 7.0 4.2 5.4 4.7 5.6 5.7 3.0 3.0 3.9 4.0 3.4 3.1 3.3 5.0 2.6 2.9 3.5 4.3



Grand Rapids-Wyoming, MI . Great Falls, MT . . . . . . . . . Greeley, CO3 . . . . . . . . . . Green Bay, WI . . . . . . . . . Greensboro-High Point, NC . Greenville, NC. . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



169



Table B-9. Metropolitan Areas — Labor Force and Private Business Establishments and Employment—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national average 91.4 72.8 79.5 76.8 90.5 75.2 118.1 69.7 75.9 64.4 94.1 90.5 66.8 85.2 115.3 76.8 97.4 84.0 101.8 79.2 75.5 89.2 80.0 83.2 89.0 54.8 94.5 75.5 71.7 68.1 69.4 73.4 94.3 80.4 100.0 98.3 74.3 83.4 74.1 87.6 107.6 78.4 85.8 81.6 79.8 80.9 87.0 92.4 60.4 62.6 88.9 65.9 67.9 78.6 80.3 79.6 89.7 82.9 81.6 84.9 66.3 76.9 92.8 110.4 109.6 112.7 91.3 69.3 83.7 80.2 78.3 94.6



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division



Total



Establishments



Employment2



2004 Greenville, SC. . . . . . . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . . Hagerstown-Martinsburg, MD-WV . Hanford-Corcoran, CA . . . . . . . . Harrisburg-Carlisle, PA . . . . . . . . Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295,086 119,933 114,984 54,424 279,913 63,020 607,091 62,337 179,873 26,850 133,594 431,677



Change, 2000– 2004 1,006 2,469 1,874 5,065 11,500 7,321 17,054 1,739 −7,693 2,924 −1,997 −528



2000 294,080 117,464 113,110 49,359 268,413 55,699 590,037 60,598 187,566 23,926 135,591 432,205



2004 18,327 6,157 4,932 5,889 12,588 1,862 30,827 3,214 12,078 1,470 7,519 13,692 2,425 4,699 162,229 7,218 8,829 1,953 40,419 3,146 1,967 5,987 13,418 3,008 29,404 3,047 4,691 3,393 5,098 4,731 3,135 4,339 10,643 3,946 62,048 7,248 8,353 7,808 4,417 13,850 3,045 3,130 4,312 5,669 5,134 12,426 10,560 14,973 5,700 5,297 36,184 2,622 2,083 2,826 1,558 2,560 9,187 3,453 5,624 16,444 2,370 5,978 3,729 383,333 315,724 67,609 30,601 6,451 4,861 5,185 5,559 11,008



2000 2004 2000 7,925 6.2 2.7 5,703 5.1 4.9 4,125 4.3 3.6 4,964 10.8 10.1 9,117 4.5 3.4 1,048 3.0 1.9 14,416 2,936 5,636 1,223 3,639 16,961 1,624 3,723 103,796 7,159 5,908 1,744 19,771 1,600 1,697 2,706 11,880 2,074 19,030 2,324 3,433 2,078 4,168 4,055 2,212 2,694 5,584 2,408 33,086 5,459 5,965 5,301 3,170 10,754 1,493 2,400 2,412 4,849 4,330 9,528 7,084 7,184 4,367 4,700 33,822 1,691 1,589 2,026 1,451 1,938 7,012 2,247 3,724 11,250 1,507 4,813 2,766 305,863 253,484 52,379 21,866 4,709 2,512 4,307 4,782 7,658 5.1 5.2 6.7 5.5 5.6 3.2 5.9 5.1 6.3 5.5 4.6 3.5 4.7 3.2 3.6 7.6 5.1 5.6 4.8 5.5 5.6 4.3 5.4 7.0 5.6 5.2 6.2 7.6 6.0 6.3 5.7 5.5 4.8 4.1 6.4 4.2 4.7 4.7 5.6 5.0 4.0 6.0 6.8 6.4 4.4 4.1 4.5 4.1 5.4 4.5 4.1 6.6 3.4 5.1 3.9 6.0 8.5 6.0 6.6 4.3 5.1 4.6 4.3 4.9 8.8 3.3 2.4 4.8 3.0 5.1 2.7 3.9 4.2 4.3 4.3 5.7 3.2 3.5 2.4 2.0 3.3 3.4 4.8 3.8 3.2 4.4 4.1 2.7 4.6 6.1 4.1 3.3 3.2 4.6 3.3 5.5 4.5 3.8 3.6 3.4 3.0 3.3 2.6 4.1 4.8 4.1 2.8 2.9 6.2 6.2 4.6 2.9 3.7 3.2 5.1 3.5 3.1 4.4 2.3 3.6 2.8 5.2 6.4 5.0 5.4 3.5 3.6 3.6 2.2 4.1 8.7 2.5



Change, 2000– 2002 2002 14,509 5,525 5,167 1,591 12,965 2,836 29,891 3,045 8,128 802 5,911 20,952 2,681 4,653 110,685 6,244 8,505 3,116 40,999 3,392 2,168 3,452 12,342 2,827 30,379 2,552 3,425 3,546 3,762 3,546 2,723 4,248 7,347 2,320 50,471 4,626 5,314 6,352 4,597 15,988 2,349 3,395 3,820 7,571 4,458 9,807 11,605 10,419 4,332 3,245 32,567 2,662 2,144 2,566 1,610 2,765 11,235 2,834 7,683 16,600 2,682 5,173 2,306 313,622 231,948 81,674 29,817 6,690 5,845 5,341 1,935 14,854 −215 21 148 52 66 141 −74 41 1 20 21 315



2002 270,129 87,535 82,575 20,459 264,726 48,277 561,896 44,537 153,231 9,671 103,121 317,533



Change, 2000– 2002 −20,668 −4,695 1,762 1,919 7,289 48 −12,686 1,208 −14,897 −39 −4,684 1,671 492 2,318 24,705 −1,176 770 −28 −15,003 −131 1,906 −3,643 −11,042 −3,253 11,376 −11 −3,336 −1,701 −3,908 −2,097 459 −4,675 566 −22,239 −15,737 1,203 −968 −4,372 2,030 2,848 −6,744 −205 −4,856 71 739 −4,557 −292 −1,765 2,771 3,183 25,963 −537 961 −1 −964 −790 −8,705 −3,416 −998 −6,848 1,451 2,029 −1,666 −67,923 −72,509 4,586 −25,833 1,538 −5,286 −6,530 447 4,860



Amount (dollars) 32,068 25,531 27,905 26,959 31,745 26,395 41,444 24,440 26,640 22,582 33,002 31,756 23,446 29,887 40,435 26,954 34,183 29,485 35,727 27,790 26,472 31,279 28,056 29,186 31,220 19,223 33,167 26,492 25,159 23,891 24,355 25,755 33,084 28,196 35,091 34,480 26,077 29,244 25,980 30,745 37,747 27,509 30,101 28,620 27,996 28,372 30,538 32,410 21,194 21,954 31,171 23,125 23,831 27,573 28,181 27,916 31,459 29,094 28,616 29,794 23,261 26,986 32,544 38,732 38,439 39,533 32,014 24,295 29,358 28,126 27,485 33,185



Hartford-West Hartford-East Hartford, CT . Hattiesburg, MS. . . . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . . Holland-Grand Haven, MI . . . . . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . . . . . Hot Springs, AR. . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA Houston-Sugar Land-Baytown, TX . Huntington-Ashland, WV-KY-OH . . . Huntsville, AL . . . . . . . . . . . . . . . Idaho Falls, ID. . . . . . . . . . . . . . . Indianapolis, IN . Iowa City, IA . . . Ithaca, NY . . . . Jackson, MI . . . Jackson, MS . . . Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 40,904 . 92,539 . 2,573,882 . 130,228 . 192,749 . 56,420 . . . . . . . . . . . . 867,103 98,319 54,015 79,260 260,934 53,971 608,406 55,315 84,074 79,696 95,180 67,642



2,560 38,344 5,886 86,653 182,523 2,391,359 4,446 125,782 8,642 184,107 5,888 50,532 46,862 19,155 2,926 −43 11,922 −589 20,115 2,329 1,261 2,974 3,865 1,022 1,674 2,136 −642 −359 35,423 15,736 11,990 1,425 3,052 19,308 −2,954 2,113 −1,134 3,297 943 17,521 16,177 2,123 12,636 6,537 99,671 5,527 3,207 5,521 434 1,686 −2,261 1,067 8,358 13,533 820,241 79,164 51,089 79,303 249,012 54,560 588,291 52,986 82,813 76,722 91,315 66,620 54,061 82,048 172,881 52,313 999,292 99,353 133,997 139,797 88,950 317,722 50,406 72,519 93,755 118,388 90,726 230,838 250,572 248,897 70,962 76,298 728,287 57,928 43,271 64,137 28,258 55,401 228,498 51,370 158,739 310,998



110 31,423 119 65,845 2,816 1,992,206 −84 92,464 197 144,850 166 41,070 649 17 43 41 295 −38 1,761 −50 65 82 12 −2 58 167 −104 31 447 202 145 −105 239 −12 59 70 −33 254 42 198 165 134 252 34 2,936 38 −55 −2 −51 −21 132 −5 134 80 765,159 56,848 43,706 51,053 202,604 53,398 491,231 29,166 57,417 52,110 61,465 49,317 39,486 66,671 128,449 37,500 889,834 65,686 85,436 105,396 47,759 280,453 41,858 60,842 67,737 111,033 71,833 156,908 214,288 171,044 55,987 40,233 665,118 36,948 28,554 37,629 19,716 45,076 200,602 48,423 131,201 274,540



Jacksonville, FL. . . Jacksonville, NC . . Janesville, WI . . . . Jefferson City, MO . Johnson City, TN . . Johnstown, PA . . .



Jonesboro, AR . . . . . . . . . . . . Joplin, MO . . . . . . . . . . . . . . . Kalamazoo-Portage, MI . . . . . . Kankakee-Bradley, IL . . . . . . . . Kansas City, MO-KS. . . . . . . . . Kennewick-Richland-Pasco, WA . Killeen-Temple-Fort Hood, TX . Kingsport-Bristol-Bristol, TN-VA Kingston, NY. . . . . . . . . . . . . Knoxville, TN . . . . . . . . . . . . Kokomo, IN . . . . . . . . . . . . . La Crosse, WI-MN . . . . . . . . . Lafayette, IN . . . . . . . . . Lafayette, LA . . . . . . . . Lake Charles, LA . . . . . . Lakeland, FL. . . . . . . . . Lancaster, PA . . . . . . . . Lansing-East Lansing, MI Laredo, TX . . . . . . . . . . Las Cruces, NM . . . . . . Las Vegas-Paradise, NV . Lawrence, KS . . . . . . . . Lawton, OK . . . . . . . . . Lebanon, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 55,735 . 84,184 . 172,239 . 51,954 . 1,034,715 . 115,089 . . . . . . . . . . . . . . . . . . . . . . . . 145,987 141,222 92,002 337,030 47,452 74,632 92,621 121,685 91,669 248,359 266,749 251,020 83,598 82,835 827,958 63,455 46,478 69,658 28,692 57,087 226,237 52,437 167,097 324,531



Lewiston, ID-WA . . . . . . . . . . . Lewiston-Auburn, ME . . . . . . . . Lexington-Fayette, KY . . . . . . . Lima, OH . . . . . . . . . . . . . . . . Lincoln, NE. . . . . . . . . . . . . . . Little Rock-North Little Rock, AR.



Logan, UT-ID . . . . . . . . . . . . . . . . . . . . Longview, TX . . . . . . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Los Angeles-Long Beach-Glendale, CA . Santa Ana-Anaheim-Irvine, CA . . . . . . . Louisville, KY-IN Lubbock, TX . . . Lynchburg, VA. . Macon, GA . . . . Madera, CA . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 60,743 . 99,846 . 43,705 . 6,396,271 . 4,809,764 . 1,586,507 . . . . . . 602,059 140,654 113,280 106,855 63,159 332,612



7,648 53,095 7,110 92,736 406 43,299 233,068 6,163,203 128,464 4,681,300 104,604 1,481,903 −9,034 9,643 205 2,693 8,079 22,830 611,093 131,011 113,075 104,162 55,080 309,782



81 34,337 94 72,970 −29 30,848 8,784 5,174,665 5,666 3,791,362 3,118 1,383,303 374 64 35 −54 70 437 525,004 95,979 91,244 84,726 23,607 254,924



See footnotes at end of table.



170



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-9. Metropolitan Areas — Labor Force and Private Business Establishments and Employment—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national average 108.2 83.0 61.4 77.4 95.5 74.1 94.7 92.3 94.8 97.9 78.4 86.6 102.6 114.6 73.9 79.9 84.3 76.5 99.2 79.3 77.0 79.0 82.8 75.9 87.7 65.1 101.6 86.6 97.0 106.7 86.5 143.0 120.9 109.5 134.4 157.0 90.1 103.9 70.5 86.2 79.4 75.6 80.0 82.2 93.0 87.6 100.1 76.7 104.6 90.5 68.7 76.6 82.1 72.3 91.9 112.3 98.4 114.9 116.5 95.0 71.9 93.8 86.3 70.5 93.4 104.0 77.7 92.6 67.5 91.3 75.0 73.9



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division



Total



Establishments



Employment2



2004 Manchester-Nashua, NH . . . . Mansfield, OH . . . . . . . . . . . McAllen-Edinburg-Mission, TX Medford, OR . . . . . . . . . . . . Memphis, TN-MS-AR . . . . . . Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225,241 63,344 254,431 98,817 597,092 98,860



Change, 2000– 2004 10,326 353 43,139 7,004 4,370 8,359



2000 214,915 62,991 211,292 91,813 592,722 90,501



2004 8,841 4,564 23,207 7,002 35,499 10,670 135,984 43,339 62,202 30,443 3,199 2,907 43,290 82,331 2,275 11,756 20,606 4,746 4,879 9,142 2,205 3,652 3,855 3,397 7,062 6,694 3,311 5,511 31,375 22,384 27,983 514,588 51,198 67,062 51,503 344,825 6,130 6,360 5,357 4,003 3,702 12,592 25,560 6,930 19,056 43,685 4,203 2,826 22,259 11,092 3,599 4,716 4,326 9,266 10,529 151,909 31,003 105,562 15,344 82,196 3,612 70,287 3,322 2,084 10,289 78,376 9,361 14,205 3,704 46,500 9,483 4,976



2000 2004 2000 5,410 3.9 3,186 7.2 19,418 9.1 5,098 7.1 22,606 5.9 8,699 10.8 110,319 31,084 56,427 22,808 1,795 2,446 29,081 48,831 2,219 8,273 16,196 3,648 2,460 6,238 2,562 2,633 3,044 1,954 3,511 3,665 2,356 4,312 22,843 10,694 29,204 397,153 36,370 47,918 38,398 274,467 3,105 3,070 4,408 3,532 3,059 8,119 15,120 4,994 11,840 27,973 2,448 2,494 17,803 8,414 3,335 3,994 4,464 7,437 7,953 110,568 21,609 77,356 11,603 55,961 2,550 51,615 1,990 1,981 7,116 48,302 7,398 10,031 2,959 32,187 5,446 2,329 5.2 4.7 5.6 5.1 6.0 4.5 5.4 4.5 4.0 6.5 9.1 5.7 6.3 5.5 3.8 5.8 6.8 6.0 7.9 5.7 4.6 4.0 4.3 5.2 4.6 5.7 4.4 4.6 4.8 6.4 7.8 4.4 4.6 6.9 6.0 5.3 4.4 5.7 4.3 4.5 4.5 5.2 5.3 4.4 4.6 5.9 6.2 4.7 5.7 5.2 4.8 5.5 4.4 4.4 7.8 5.8 4.6 4.8 3.6 7.2 5.7 4.4 4.3 5.5 4.8 7.2 2.5 5.1 9.2 5.6 3.8 9.6 4.4 3.6 5.1 4.2 3.3 4.2 3.6 2.8 4.1 4.4 7.8 4.6 3.2 3.8 4.7 4.3 5.8 3.3 4.1 3.5 3.5 3.7 3.2 2.6 4.7 4.4 3.3 3.4 3.6 5.1 3.7 2.3 4.0 6.4 5.4 3.6 2.7 4.6 2.8 3.1 2.7 4.5 4.5 3.6 4.6 5.0 6.2 4.0 4.3 3.9 3.5 4.1 3.3 3.4 5.7 4.3 2.8 4.7 2.6 4.5 5.1 3.3 3.9 3.9 3.0 3.6



Change, 2000– 2002 2002 10,869 3,022 8,782 5,625 26,253 2,989 160,867 52,744 69,345 38,778 2,573 3,982 39,731 87,843 3,760 9,153 8,668 4,482 2,574 7,965 2,567 2,282 3,350 2,653 3,663 7,409 3,963 9,201 34,926 20,705 31,599 521,372 61,549 92,319 60,580 306,924 4,065 5,891 5,794 4,158 3,140 9,722 30,202 5,250 20,848 47,229 3,685 2,696 17,949 11,878 4,252 4,045 2,615 8,818 8,835 144,549 28,882 96,179 19,488 77,539 1,891 60,828 4,310 2,067 16,826 57,429 −35 4 462 261 −109 30



2002 176,136 49,073 122,326 63,461 528,944 39,777



Change, 2000– 2002 −812 −2,714 7,471 1,207 −40,419 231 −22,426 2,549 −34,174 9,199 −3,584 328 −30,847 −38,498 658 −2,809 11,069 −6,093 −876 −7,781 1,401 −3,814 −713 −4,961 −2,993 1,106 3,021 5,570 −12,451 −5,568 −6,385 −97,818 916 −12,115 4,321 −90,940 508 4,341 970 −280 2,681 −6,499 155 2,424 835 −21,508 −3,645 −1,961 13,823 9,410 1,210 −896 −1,115 1,607 −6,536 −18,266 −5,780 −19,825 7,339 11,053 −2,803 −1,972 −2,961 −745 −3,019 −22,376 1,279 11,199 3,181 −3,813 −9,914 −3,518



Amount (dollars) 37,944 29,134 21,523 27,149 33,498 26,008 33,228 32,370 33,251 34,354 27,497 30,377 35,998 40,197 25,908 28,025 29,587 26,845 34,800 27,816 27,011 27,717 29,036 26,628 30,766 22,828 35,647 30,380 34,015 37,425 30,339 50,172 42,415 38,415 47,148 55,089 31,626 36,453 24,745 30,234 27,849 26,512 28,080 28,824 32,629 30,735 35,111 26,920 36,690 31,764 24,092 26,857 28,795 25,357 32,226 39,379 34,525 40,295 40,876 33,323 25,231 32,917 30,281 24,718 32,777 36,473 27,243 32,502 23,669 32,027 26,324 25,934



Miami-Fort Lauderdale-Miami Beach, FL . . . . . . . . . . Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . West Palm Beach-Boca Raton-Boynton Beach, FL . . . Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . Minneapolis-St. Paul-Bloomington, MN-WI Missoula, MT . . . . . . . . . . . . . . . . . . . Mobile, AL . . . . . . . . . . . . . . . . . . . . . Modesto, CA. . . . . . . . . . . . . . . . . . . . Monroe, LA . . . . . . . . . . . . . . . . . . . . Monroe, MI . . . . . . . . . . . . . Montgomery, AL . . . . . . . . . Morgantown, WV . . . . . . . . . Morristown, TN . . . . . . . . . . Mount Vernon-Anacortes, WA Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 2,621,674 . 917,342 . 1,107,950 . 596,382 . 52,965 . 64,312 . 801,566 . 1,849,010 . 57,504 . 180,685 . 226,124 . 83,395 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,483 167,029 57,330 62,464 56,305 57,036 89,530 118,119 72,272 136,834 732,403 429,670 613,148 9,092,696 1,158,703 1,460,015 1,075,964 5,398,014 78,577 143,277 116,911 57,942 61,646 237,670 576,297 121,240 442,019 960,639 92,788 54,729 416,060 249,982 78,426 80,350 69,778 196,364



125,014 2,496,660 63,428 853,914 7,671 1,100,279 53,915 542,467 −1,210 54,175 6,096 58,216 −4,976 806,542 86,535 1,762,475 3,322 54,182 −6,657 187,342 18,076 208,048 3,599 79,796 262 1,293 2,621 519 4,213 −1,891 3,807 12,880 5,612 20,876 17,091 15,370 −12,170 165,555 42,143 42,324 15,468 65,620 −6,018 11,520 7,839 2,445 5,066 15,113 24,293 12,632 14,626 67,015 2,913 −1,053 23,103 18,309 6,558 1,068 −2,485 9,226 77,221 165,736 54,709 61,945 52,092 58,927 85,723 105,239 66,660 115,958 715,312 414,300 625,318 8,927,141 1,116,560 1,417,691 1,060,496 5,332,394 84,595 131,757 109,072 55,497 56,580 222,557 552,004 108,608 427,393 893,624 89,875 55,782 392,957 231,673 71,868 79,282 72,263 187,138



7,520 1,900,015 2,416 621,950 2,836 820,215 2,268 457,850 −62 36,693 −56 46,328 −139 759,715 3,311 1,591,041 137 41,975 −78 153,632 411 131,702 42 64,863 88 −76 −53 −17 93 −45 76 222 216 726 343 −70 38,679 128,173 36,985 42,119 34,944 45,502 54,471 87,396 52,547 97,794 637,295 333,360



Muskegon-Norton Shores, MI. . . . . . . . . . . . Myrtle Beach-Conway-North Myrtle Beach, SC Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . Naples-Marco Island, FL . . . . . . . . . . . . . . . Nashville-Davidson-Murfreesboro, TN . . . . . . New Haven-Milford, CT. . . . . . . . . . . . . . . .



New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA Edison, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . Niles-Benton Harbor, MI . Norwich-New London, CT Ocala, FL . . . . . . . . . . . Ocean City, NJ . . . . . . . Odessa, TX . . . . . . . . . Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



71 525,160 6,313 7,470,229 1,512 893,901 1,653 1,073,035 339 945,448 2,809 4,557,845 74 162 311 138 129 689 467 200 424 2,300 −33 −21 743 518 44 −60 −66 289 61,007 110,111 74,105 25,665 41,306 126,871 437,342 55,393 382,328 793,083 78,151 43,823 251,825 167,108 55,142 61,672 44,471 126,005



Oklahoma City, OK . . . . . . . Olympia, WA. . . . . . . . . . . . Omaha-Council Bluffs, NE-IA . Orlando-Kissimee, FL . . . . . . Oshkosh-Neenah, WI . . . . . . Owensboro, KY . . . . . . . . . .



Oxnard-Thousand Oaks-Ventura, CA. Palm Bay-Melbourne-Titusville, FL . . Panama City-Lynn Haven, FL . . . . . Parkersburg-Marietta-Vienna, WV-OH Pascagoula, MS . . . . . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Peoria, IL . . . . . . . . . . . . . . . . . . Philadelphia-Camden-Wilmington, Camden, NJ . . . . . . . . . . . . . . Philadelphia, PA . . . . . . . . . . . . Wilmington, DE-MD-NJ . . . . . . . Phoenix-Mesa-Scottsdale, AZ . . . .



........... PA-NJ-DE-MD . ........... ........... ........... ........... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 183,606 . 2,916,970 . 644,950 . 1,925,827 . 346,193 . 1,851,316 . 46,132 . 1,217,830 . 72,596 . 43,485 . 286,977 . 1,094,183 . . . . . . 165,346 321,040 86,965 849,649 195,722 68,767



−3,244 186,850 70,451 2,846,519 34,507 610,443 39,871 1,885,956 −3,927 350,120 185,661 1,665,655 1,388 44,744 26,554 1,191,276 2,534 70,062 1,565 41,920 16,533 270,444 16,729 1,077,454 21,639 18,351 11,384 28,480 12,168 4,917 143,707 302,689 75,581 821,169 183,554 63,850



4 156,960 2,011 2,497,789 339 429,769 1,316 1,738,700 356 329,320 3,484 1,390,433 17 28,224 46 1,055,581 −73 55,974 24 25,329 598 212,531 699 844,882 91,520 196,208 49,244 599,074 134,191 44,835



Pine Bluff, AR . . . . . . . . . . . . . . . . . . Pittsburgh, PA . . . . . . . . . . . . . . . . . . Pittsfield, MA. . . . . . . . . . . . . . . . . . . Pocatello, ID . . . . . . . . . . . . . . . . . . . Portland-South Portland-Biddeford, ME . Portland-Vancouver-Beaverton, OR-WA .



Port St. Lucie-Fort Pierce, FL. . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA. Provo-Orem, UT . . . . . . . . . . . . . . . . . . Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



8,613 538 15,543 706 5,382 397 58,680 16,927 8,225 950 3,233 46



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



171



Table B-9. Metropolitan Areas — Labor Force and Private Business Establishments and Employment—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national average 70.7 94.8 95.9 74.0 90.3 80.2 91.7 96.9 82.9 81.4 100.2 96.1 92.8 76.8 74.3 98.6 93.6 78.8 67.5 74.0 98.6 78.9 91.6 77.0 91.0 74.4 83.2 106.6 82.3 141.7 126.5 157.5 177.9 79.8 97.6 97.3 79.3 101.5 81.2 82.4 76.1 123.1 128.7 90.6 86.9 80.4 75.7 76.0 82.5 85.5 90.1 86.4 84.0 87.5 72.2 75.7 73.8 88.2 73.2 92.1 78.1 93.2 77.3 72.1 91.2 80.9 123.2 84.3 91.1 78.8 85.1



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division



Total



Establishments



Employment2



2004 Punta Gorda, FL . Racine, WI . . . . . Raleigh-Cary, NC. Rapid City, SD . . Reading, PA . . . . Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,501 100,667 484,107 65,340 197,732 83,543



Change, 2000– 2004 5,356 921 31,195 4,155 3,117 8,721



2000 55,145 99,746 452,912 61,185 194,615 74,822



2004 3,022 6,049 21,059 2,183 10,523 6,172 8,386 23,183 93,946 5,458 4,227 28,236 12,605 5,023 2,227 53,792 8,784 4,876 2,225 3,902 86,535 13,691 17,450 2,837 28,830 2,595 49,835 70,292 2,763 121,318 72,481 48,837 57,002 5,718 9,990 10,231 3,273 12,680 12,087 6,274 17,978 95,815 69,788 26,027 2,863 3,518 10,622 3,855 3,792 7,973 10,023 14,693 6,015 18,657 9,598 4,776 3,165 24,244 3,693 17,913 6,870 57,816 5,748 3,543 23,598 7,585 7,993 20,219 22,014 4,661 5,009



2000 2004 2000 2,042 3,892 11,529 1,546 7,659 4,493 7,337 11,635 71,834 3,239 2,667 19,479 7,803 3,474 1,679 38,898 4,093 3,227 1,379 2,046 50,029 9,623 15,023 2,568 16,735 2,000 32,586 53,973 1,771 77,184 45,640 31,544 31,136 4,888 8,796 7,613 2,571 8,459 8,665 4,916 13,261 71,090 53,960 17,130 1,592 2,238 8,292 2,130 2,357 4,996 4,447 11,051 4,134 9,902 5,587 3,107 2,418 18,014 1,834 12,337 5,500 40,370 3,324 2,794 14,573 4,850 5,881 15,310 12,970 3,507 3,767 5.0 6.0 4.4 3.3 5.3 7.4 4.0 3.9 5.7 3.7 4.1 5.3 7.7 7.3 4.6 5.4 8.7 4.7 4.4 5.9 6.0 7.4 8.2 4.7 5.4 4.9 5.6 4.7 6.3 5.6 5.8 5.3 6.7 4.4 4.7 7.0 4.3 4.9 4.1 4.0 6.5 5.6 5.2 7.1 4.4 6.2 6.1 5.2 3.2 5.0 7.6 6.5 5.5 5.3 4.5 6.8 4.4 8.5 8.1 5.5 4.0 4.6 7.1 5.8 7.0 6.1 4.2 4.6 5.0 4.9 5.3 3.7 3.9 2.5 2.5 3.9 6.0 3.7 2.1 5.1 2.2 2.8 3.6 4.6 5.1 3.7 4.3 4.0 3.2 3.5 3.4 3.5 5.4 7.4 4.5 3.2 3.9 4.0 3.9 4.2 3.4 3.6 3.1 3.2 4.0 4.3 5.1 3.6 3.3 3.2 3.4 4.9 4.3 4.1 5.0 2.5 4.0 4.8 2.8 2.1 3.1 3.4 5.2 3.7 2.9 2.8 4.3 3.5 7.0 4.1 3.8 3.2 3.4 4.1 4.8 4.3 4.0 3.3 3.7 2.9 3.8 4.4



Change, 2000– 2002 2002 3,393 4,258 24,698 3,886 8,405 4,552 11,484 29,360 57,650 8,287 4,318 23,307 7,755 3,234 2,057 42,752 5,006 5,016 2,794 3,022 69,287 8,686 8,898 2,937 28,833 2,619 36,897 71,330 2,045 320 110 921 154 250 84 269 709 4,006 127 269 316 7 −26 41 2,353 −17 324



2002 31,486 71,400 378,506 47,027 145,505 48,851 172,303 502,829 914,837 135,599 90,080 432,379 137,321 56,508 36,121 653,250 85,294 86,052



Change, 2000– 2002 −199 −2,027 7,976 204 −3,358 2,735 2,496 5,809 56,404 −3,700 3,427 −10,910 −10,055 −1,448 −1,823 39,831 −7,319 2,728 3,357 16 −9,242 −4,068 4,744 539 −10,474 665 3,136 30,833 −3,606 −94,152 1,257 −95,409 −104,282 7,431 −320 −586 1,311 3,357 −34,987 6,159 −5,313 −72,565 −63,896 −8,669 −940 −2,826 1,528 −3,608 1,273 −6,809 −4,135 −4,079 −2,457 −4,561 −3,382 −3,918 −3,589 6,635 −3,664 −6,342 3,880 −23,097 −4,618 −2,695 −9,610 −7,222 12,337 −269 −6,420 −2,935 2,594



Amount (dollars) 24,818 33,256 33,646 25,953 31,689 28,131 32,174 34,003 29,093 28,547 35,137 33,722 32,543 26,944 26,061 34,575 32,837 27,642 23,696 25,972 34,607 27,674 32,123 27,020 31,910 26,103 29,188 37,412 28,872 49,720 44,380 55,249 62,395 28,004 34,230 34,118 27,814 35,607 28,499 28,909 26,712 43,193 45,134 31,774 30,492 28,209 26,570 26,670 28,944 29,993 31,607 30,294 29,481 30,681 25,318 26,565 25,894 30,952 25,686 32,316 27,395 32,704 27,121 25,284 32,000 28,364 43,228 29,586 31,950 27,634 29,849



Reno-Sparks, NV. . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . . . . . . Riverside-San Bernardino-Ontario, CA . Roanoke, VA. . . . . . . . . . . . . . . . . . Rochester, MN . . . . . . . . . . . . . . . . Rochester, NY. . . . . . . . . . . . . . . . .



. 208,568 . 600,345 . 1,647,915 . 147,311 . 103,853 . 530,253 . 162,832 . 68,698 . 48,664 . 1,003,214 . 101,030 . 104,379 . 50,392 . 65,711 . 1,453,133 . 184,729 . 212,218 . 60,849 . 534,889 . 53,200 . 883,166 . 1,490,333 . 43,516 . 2,178,653 . 1,259,397 . 919,256 . 854,249 . 130,739 . 214,137 . . . . . . 145,419 75,811 256,820 298,354 155,061 278,004



11,642 196,926 36,023 564,322 227,378 1,420,537 −315 147,626 8,187 95,666 −4,793 535,046 −5,400 392 3,884 98,069 −343 5,028 168,232 68,306 44,780 905,145 101,373 99,351



Rockford, IL . . . . . . . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . Sacramento-Arden-Arcade-Roseville, CA . Saginaw-Saginaw Township North, MI . . . St. Cloud, MN . . . . . . . . . . . . . . . . . . . St. George, UT . . . St. Joseph, MO-KS St. Louis, MO-IL4 . . Salem, OR . . . . . . Salinas, CA . . . . . Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



11,318 39,074 5,145 60,566 25,391 1,427,742 7,203 177,526 8,353 203,865 4,054 56,795 13,744 521,145 1,577 51,623 64,002 819,164 113,684 1,376,649 1,548 41,968 −104,663 2,283,316 −10,990 1,270,387 −93,673 1,012,929 −113,545 967,794 8,236 122,503 11,566 202,571 −3,119 5,169 3,469 26,347 12,549 5,144 148,538 70,642 253,351 272,007 142,512 272,860



283 29,996 72 42,919 1,015 1,214,875 93 103,340 323 109,812 −2 41,015 942 492,324 −15 35,691 1,132 640,934 3,408 1,083,047 4 29,458



Salt Lake City, UT . . . . . . . . . . . . . San Angelo, TX . . . . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA Sandusky, OH . . . . . . . . . . . . . . . .



San Francisco-Oakland-Fremont, CA . . . . . . Oakland-Fremont-Hayward, CA. . . . . . . . . . San Francisco-San Mateo-Redwood City, CA San Jose-Sunnyvale-Santa Clara, CA . . . . . . . San Luis Obispo-Paso Robles, CA . . . . . . . . . Santa Barbara-Santa Maria, CA . . . . . . . . . . . Santa Cruz-Watsonville, CA. . . Santa Fe, NM . . . . . . . . . . . . Santa Rosa-Petaluma, CA. . . . Sarasota-Bradenton-Venice, FL Savannah, GA . . . . . . . . . . . Scranton-Wilkes-Barre, PA . . . Seattle-Tacoma-Bellevue, WA Seattle-Bellevue-Everett, WA Tacoma, WA . . . . . . . . . . . Sheboygan, WI . . . . . . . . . . . Sherman-Denison, TX . . . . . . Shreveport-Bossier City, LA . . . Sioux City, IA-NE-SD . . Sioux Falls, SD . . . . . . South Bend-Mishawaka, Spartanburg, SC . . . . . Spokane, WA . . . . . . . Springfield, IL . . . . . . . Springfield, MA . . Springfield, MO . . Springfield, OH . . State College, PA Stockton, CA . . . Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..... ..... IN-MI . ..... ..... ..... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



118,782 −1,744 1,912,175 59,211 755 972,754 59,571 −2,499 939,421 45,333 −1,287 906,018 7,492 548 81,056 11,062 178 139,876 7,028 4,866 13,666 17,999 7,648 13,600 90,730 74,797 15,933 2,699 2,577 8,627 3,893 6,466 7,279 6,425 11,787 5,558 56 197 247 1,127 129 −114 78,674 46,006 166,357 207,513 121,773 223,592



. 1,698,510 . 1,331,242 . 367,268 . 64,662 . 57,169 . 175,564 . . . . . . . . . . . . 74,597 119,418 160,589 131,026 224,981 109,117 352,473 211,403 70,600 72,253 285,200 45,664



54,877 1,643,633 28,653 1,302,589 26,224 341,044 139 64,523 868 56,301 3,310 172,254 −2,850 8,033 −1,515 1,735 13,084 −3,068 7,355 12,204 −1,459 3,785 26,032 1,041 77,447 111,385 162,104 129,291 211,897 112,185 345,118 199,199 72,059 68,468 259,168 44,623



54 1,373,253 −329 1,173,703 383 199,550 95 56,288 −3 36,693 55 144,732 −7 272 −98 142 98 −52 68,493 108,128 127,395 117,817 164,194 82,985 247,409 160,713 47,153 43,165 161,040 33,356



15,890 −1,097 10,637 291 2,699 −11 3,156 29 10,831 644 1,949 85 15,350 7,927 63,864 3,811 2,849 16,079 5,719 10,344 19,147 23,446 4,298 5,040



Syracuse, NY . . . . . . . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Terre Haute, IN . . . . . . . . . . . . . . . Texarkana, TX-Texarkana, AR . . . . . Toledo, OH . . . . . . . . . . . . . . . . . . Topeka, KS. . . . . . Trenton-Ewing, NJ . Tucson, AZ . . . . . . Tulsa, OK. . . . . . . Tuscaloosa, AL . . . Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 328,548 . 173,345 . 1,268,218 . 81,425 . 61,286 . 336,451 . . . . . . 125,105 190,469 439,127 443,241 94,918 94,195



2,913 325,635 1,108 172,237 68,868 1,199,350 109 81,316 2,686 58,600 162 336,289 5,272 10,326 29,961 3,424 1,517 7,856 119,833 180,143 409,166 439,817 93,401 86,339



348 267,078 331 107,501 2,378 1,009,648 −35 58,065 −21 40,772 75 291,866 −18 695 515 306 −21 179 87,049 186,454 293,113 370,917 71,198 76,492



See footnotes at end of table.



172



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Table B-9. Metropolitan Areas — Labor Force and Private Business Establishments and Employment—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national average 75.8 65.7 93.5 75.9 83.9 89.1 80.5 76.0 73.9 65.0 125.9 121.0 127.2 78.3 83.0 79.4 80.0 69.7 90.1 70.5 73.3 77.0 82.1 93.6 100.2 79.1 86.7 79.8 79.3 60.8



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division



Total



Establishments



Employment2



2004 Utica-Rome, NY . . . . . . . . . . Valdosta, GA. . . . . . . . . . . . . Vallejo-Fairfield, CA . . . . . . . . Vero Beach, FL . . . . . . . . . . . Victoria, TX. . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142,009 61,609 208,356 56,240 56,108 68,698



Change, 2000– 2004 −671 5,261 9,547 5,208 337 3,162



2000 142,680 56,348 198,809 51,032 55,771 65,536



2004 7,512 2,139 12,258 3,696 3,261 4,552 32,260 20,984 5,861 2,265 103,874 19,394 84,480 4,327 3,218 4,521 4,006 4,087 18,780 3,844 3,782 7,153 1,903 11,564 21,936 10,339 9,960 20,303 6,719 11,415



2000 2004 2000 5,626 2,521 9,033 2,617 2,161 3,800 5.3 3.5 5.9 6.6 5.8 6.6 3.9 4.5 4.5 5.1 3.9 5.8



Change, 2000– 2002 2002 6,218 2,844 6,820 3,580 2,742 3,113 35,284 6,009 4,821 2,093 129,718 31,258 98,460 4,075 3,321 2,654 2,870 3,699 14,715 3,584 2,849 8,847 2,857 10,537 18,294 4,693 8,402 14,056 2,538 2,560 69 98 315 128 12 87



2002 100,070 41,362 105,894 38,619 36,748 47,471



Change, 2000– 2002 −1,605 1,830 11,375 16 −1,514 1,647 2,901 3,501 −2,241 4,504 22,314 −6,357 28,671 −1,643 −385 −2,390 −229 718 −5,499 −471 −2,506 −865 3,416 −4,633 −2,116 −1,104 4,609 −24,014 1,790 5,035



Amount (dollars) 26,574 23,056 32,808 26,624 29,446 31,262 28,234 26,668 25,935 22,801 44,152 42,464 44,607 27,476 29,109 27,867 28,055 24,468 31,602 24,739 25,711 27,009 28,788 32,836 35,155 27,766 30,415 27,985 27,829 21,320



Virginia Beach-Norfolk-Newport News, VA-NC. . . . . Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV Bethesda-Gaithersburg-Frederick, MD . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV. Waterloo-Cedar Falls, IA . . . . Wausau, WI . . . . . . . . . . . . Weirton-Steubenville, WV-OH. Wenatchee, WA . . . . . . . . . Wheeling, WV-OH . . . . . . . . Wichita, KS. . . . . . . . . . . . . Wichita Falls, TX . . Williamsport, PA . . Wilmington, NC . . . Winchester, VA-WV Winston-Salem, NC Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. 777,793 . 182,888 . 110,305 . 59,586 . 2,801,375 . 613,211 . 2,188,164 . . . . . . . . . . . . . . . . . 90,972 74,730 58,099 59,577 67,662 304,798 74,452 60,753 154,626 59,987 230,040 400,729 119,787 216,502 280,415 65,824 73,938



58,254 719,539 10,579 172,309 6,530 103,775 5,838 53,748 140,347 2,661,028 16,457 596,754 123,890 2,064,274 2,431 2,474 −992 4,856 −1,585 7,049 2,712 1,502 12,608 5,257 7,720 12,785 6,389 7,571 −2,960 3,554 9,568 88,541 72,256 59,091 54,721 69,247 297,749 71,740 59,251 142,018 54,730 222,320 387,944 113,398 208,931 283,375 62,270 64,370



18,164 4.1 2.5 17,904 11.5 10.4 4,279 5.3 4.1 1,825 3.8 3.4 72,759 3.7 2.7 15,728 3.2 2.6 57,031 3.9 2.8 2,487 2,349 3,042 3,495 3,766 12,430 3,182 2,567 5,634 1,249 7,514 10,463 4.8 4.3 7.8 6.7 6.0 6.2 5.2 6.2 4.6 3.2 5.0 5.5 2.8 3.3 5.1 6.4 5.4 4.2 4.4 4.3 4.0 2.3 3.4 2.7



810 583,509 83 80,663 −19 88,422 127 31,223 4,445 2,216,101 689 470,137 3,756 1,745,964 −43 −116 −30 45 −67 183 −27 −30 457 94 77 380 −66 204 −67 50 23 69,582 63,252 41,634 28,185 53,917 254,068 48,200 46,941 99,823 48,613 192,949 291,262 59,160 157,700 210,102 28,026 36,268



Yakima, WA . . . . . . . . . . . . . York-Hanover, PA . . . . . . . . . Youngstown-Warren-Boardman, Yuba City, CA . . . . . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . .

1 2 3



...... ...... OH-PA . ...... ......



8,713 8.6 7.7 6,980 4.6 3.3 14,186 7.2 5.0 5,492 10.2 8.8 10,662 15.4 16.6



Civilian unemployed as percent of total civilian labor force. For pay period including March 12 of the year shown. The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield city is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 4 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA. Note: Covers metropolitan statistical areas and metropolitan divisions and component counties defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . Survey, Census, or Data Collection Method: Civilian labor force—Based on the Current Population Survey (CPS); for information, see Appendix B, Limitations of the Data and Methodology, and the following document at . For data extracted from the U.S. Census Bureau’s County Business Patterns, see Internet site . Sources: Civilian labor force—U.S. Bureau of Labor Statistics, Local Area Unemployment Statistics, Annual Averages; see Internet site (accessed 18 August 2005). Private nonfarm businesses—U.S. Bureau, County Business Patterns on CD-ROM; issued April 2003 and December 2004.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



173



Table B-10. Metropolitan Areas — Banking, Retail Trade, and Accommodation and Food



Services

Banking,1 2004 Retail trade2 (NAICS 44–45), 2002 Sales Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Number of offices Abilene, TX. . . . . . . . . . . . . Akron, OH . . . . . . . . . . . . . Albany, GA . . . . . . . . . . . . . Albany-Schenectady-Troy, NY Albuquerque, NM. . . . . . . . . Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 230 49 304 169 55 290 62 62 39 47 56 60 98 31 79 122 59 1,311 81 34 134 329 95 793 54 122 228 42 36 81 68 52 48 72 326 41 62 66 60 165 1,422 589 478 248 107 99 43 67 328 64 40 307 47 72 125 178 21 18 108 96 103 155 400 63 168 24 2,745 2,252 237 256 Deposits (mil. dol.) 1,669 9,395 1,661 16,116 7,742 1,547 11,502 1,748 2,883 1,183 3,038 1,294 1,932 4,445 1,340 2,874 4,929 2,188 80,583 3,656 1,332 5,100 13,842 4,272 40,460 1,613 5,652 8,946 973 1,225 3,721 2,342 1,692 1,919 2,682 20,141 1,547 1,797 1,829 7,994 5,637 141,814 86,247 35,720 13,910 5,937 4,894 1,332 1,928 23,106 3,396 1,288 24,048 2,030 3,129 4,791 8,396 990 934 3,750 3,825 4,229 6,142 78,456 2,408 6,310 916 220,456 193,093 8,864 18,499 Percent General Per mercap- Change, chanita3 1997– dise (dol.) 2002 stores4 17.7 12.7 6.4 28.3 23.1 22.2 24.2 27.3 18.6 26.7 22.4 13.7 22.9 20.7 18.2 31.9 23.1 26.9 27.8 31.7 30.8 23.5 11.4 32.6 30.6 26.2 34.7 14.7 12.9 16.2 20.0 6.2 43.7 24.0 24.0 23.7 25.7 18.5 22.3 18.2 22.3 23.7 23.5 16.7 32.7 32.9 (NA) 12.6 31.6 20.5 44.8 32.6 20.9 30.9 31.1 12.4 45.8 26.9 35.7 26.8 21.1 10.7 37.0 28.1 35.1 21.6 39.2 24.6 20.4 26.9 51.2 (NA) 12.1 (NA) (NA) (NA) (NA) (NA) 20.5 (NA) 18.7 27.6 16.4 17.0 14.7 20.9 (NA) (NA) (NA) (NA) 14.1 (NA) (NA) (NA) 15.0 10.9 13.9 4.7 (NA) 25.5 21.3 (NA) 16.8 22.3 (NA) 15.9 (NA) 16.1 (NA) (NA) 17.0 (NA) 7.5 8.2 9.3 8.4 (NA) 13.7 (NA) 22.2 7.4 20.6 (NA) 12.3 12.0 (NA) 15.7 14.1 (NA) 21.8 16.3 (NA) (NA) (NA) 12.8 (NA) (NA) 14.8 (NA) (NA) (NA) 7.4 Accommodation and food services2 (NAICS 72), 2002 Sales Percent



Establishments 690 2,491 700 3,177 2,579 616 2,835 611 975 339 1,137 464 734 1,160 570 859 1,946 713 16,348 1,182 416 1,923 4,657 1,909 9,306 798 1,663 2,726 534 509 1,507 819 763 796 949 4,445 467 627 657 585 1,871 17,263 7,023 5,393 2,722 2,125 1,279 568 809 3,876 1,120 613 4,255 607 1,167 1,591 2,181 273 370 993 803 1,271 2,558 5,698 807 2,031 366 29,620 24,112 2,505 3,003



Total (mil. dol.)



Paid employees5 8,461 38,273 8,153 47,963 38,605 7,542 40,230 8,544 12,691 4,643 18,018 6,264 8,818 18,790 6,223 14,557 22,018 10,024 250,438 15,016 5,589 25,066 69,746 25,134 134,961 10,386 15,625 37,894 7,910 6,384 19,811 9,332 8,557 9,842 13,850 57,915 6,698 7,883 9,261 8,999 26,296 255,184 101,068 82,873 39,321 31,922 18,243 7,604 10,783 54,834 15,005 5,879 64,046 7,884 14,759 23,641 29,122 3,387 4,503 15,223 12,120 17,373 31,937 81,100 10,899 25,500 5,156 434,544 351,599 35,292 47,653



Establishments 297 1,424 254 1,825 1,425 197 1,478 270 483 210 822 240 312 614 188 456 913 326 8,568 749 205 778 2,579 1,048 4,582 302 1,141 1,103 291 241 565 451 373 432 564 1,719 192 298 365 324 1,011 10,130 4,411 3,126 1,624 969 720 208 434 1,874 570 262 2,588 258 532 821 929 124 177 490 498 541 1,211 2,843 394 894 177 17,053 14,132 1,273 1,648



Total (mil. dol.) 195 890 (NA) 1,093 1,217 (NA) 838 155 337 111 815 142 175 512 131 271 701 233



Per capita3 (dol.) 1,232 1,272 (NA) 1,311 1,615 (NA) 1,105 1,213 1,462 1,374 2,448 1,076 1,029 1,540 1,177 1,300 1,854 1,373



Change, 1997– 2002 23.1 20.8 (NA) 27.2 26.4 (NA) 14.8 42.3 (NA) 24.5 31.9 1.5 21.2 19.0 14.7 25.0 39.1 (NA) (NA) −3.0 26.5 22.0 54.1 30.3 33.6 22.9 21.3 (NA) 9.2 19.3 18.9 25.5 37.2 31.7 27.9 (NA) 25.7 30.3 (NA) 21.0 34.4 27.6 28.9 24.5 27.1 31.8 (NA) (NA) 30.4 22.9 33.5 35.0 24.7 34.3 (NA) 16.0 20.1 18.3 23.9 12.9 (NA) (NA) 43.3 31.6 33.9 (NA) 30.6 39.8 29.7 (NA) 31.2



Food Paid ser- employvices6 ees5 (NA) 87.6 (NA) 80.2 (NA) (NA) 85.9 87.7 (NA) 80.1 72.9 94.7 92.9 83.5 87.3 83.7 64.7 (NA) 5,769 25,923 4,056 26,205 30,318 3,781 20,742 4,711 8,756 3,812 14,557 4,195 5,018 13,876 3,877 8,282 16,027 6,381



1,796 11,361 7,473 10,683 1,458 9,104 9,363 11,225 8,842 11,732 1,513 10,398 8,098 1,695 2,844 800 4,397 1,277 1,658 4,072 1,160 2,860 4,570 1,763 10,680 13,277 12,324 9,909 13,210 9,678 9,736 12,247 10,413 13,712 12,092 10,414



Allentown-Bethlehem-Easton, PA-NJ . Altoona, PA . . . . . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . . Anderson, IN . . . . . . . . . . . . . . . . Anderson, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . Anniston-Oxford, AL . . . . . Appleton, WI . . . . . . . . . . Asheville, NC . . . . . . . . . Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Atlanta-Sandy Springs-Marietta, GA Atlantic City, NJ . . . . . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . Augusta-Richmond County, GA-SC . Austin-Round Rock, TX. . . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Baltimore-Towson, MD Bangor, ME . . . . . . . Barnstable Town, MA . Baton Rouge, LA . . . . Battle Creek, MI . . . . Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



52,509 11,658 3,311 12,768 1,013 8,617 4,900 9,666 21,024 15,612 5,601 8,082 28,317 10,906 2,088 14,212 3,394 14,911 6,831 9,552 1,398 10,080 1,281 11,670 4,160 1,777 1,863 1,995 2,457 12,375 10,873 10,205 14,836 14,079 9,763 11,611



8,005 1,777 4,866 18,767 139 1,186 548 1,081 2,474 1,837 643 927 3,905 186 757 786 161 127 401 246 267 289 292 1,281 141 180 245 243 608 8,694 4,406 2,562 1,109 618 539 (NA) 235 1,369 371 354 1,425 195 335 464 840 110 98 287 303 389 1,198 2,256 361 635 139 15,581 13,271 1,117 1,193 1,504 1,266 3,327 1,100 1,161 1,158 1,047 1,412 2,125 2,040 1,161 1,201 1,470 1,190 1,397 1,563 1,219 1,961 2,416 1,744 1,506 1,529 1,938 (NA) 986 1,529 1,052 3,707 1,229 1,436 1,656 1,135 1,766 2,019 1,449 1,187 1,424 1,268 2,126 1,604 2,024 1,314 1,668 1,681 1,711 1,638 1,439



(NA) 170,471 8.0 56,112 84.6 4,491 (NA) 15,459 78.8 56,551 87.4 15,434 79.9 78.5 68.4 (NA) 93.0 92.8 89.5 81.1 62.6 78.5 85.2 (NA) 75.3 (NA) (NA) 80.2 84.3 87,863 5,229 11,966 22,269 4,721 3,844 11,079 6,251 6,145 7,840 8,422 32,765 4,377 5,491 7,572 8,247 17,154



Beaumont-Port Arthur, TX Bellingham, WA. . . . . . . Bend, OR . . . . . . . . . . . Billings, MT. . . . . . . . . . Binghamton, NY . . . . . . Birmingham-Hoover, AL .



Bismarck, ND . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA Bloomington, IN. . . . . . . . . . . . . . . . Bloomington-Normal, IL. . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . .



1,270 13,205 1,388 9,190 1,619 9,221 1,742 11,220 5,217 10,455 53,092 11,977 21,084 11,562 16,876 11,491 8,169 11,091 6,963 17,237 3,464 12,448 1,269 11,972 2,267 9,507 13,931 15,569 2,757 7,808 1,124 11,755 11,658 10,050 1,630 2,869 4,271 6,366 861 876 12,018 14,172 10,446 13,386 15,786 12,979



Boston-Cambridge-Quincy, MA-NH . . . . . Boston-Quincy, MA . . . . . . . . . . . . . . . . Cambridge-Newton-Framingham, MA . . . . Essex County, MA . . . . . . . . . . . . . . . . Rockingham County-Strafford County, NH. Boulder, CO7 . . . . . . . . . . . . . . . . . . . . . Bowling Green, KY. . . . . . . . . . Bremerton-Silverdale, WA . . . . . Bridgeport-Stamford-Norwalk, CT Brownsville-Harlingen, TX . . . . . Brunswick, GA . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . . Burlington, NC. . . . . . . . . . . . Burlington-South Burlington, VT Canton-Massillon, OH. . . . . . . Cape Coral-Fort Myers, FL . . . Carson City, NV. . . . . . . . . . . Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



78.5 172,305 75.5 83,973 78.2 50,752 87.5 23,436 85.2 14,144 82.0 13,773 (NA) 89.0 82.7 77.8 46.0 85.6 91.2 71.7 94.6 65.4 61.4 80.0 84.3 (NA) 82.1 65.9 (NA) (NA) 5,651 6,234 24,678 10,012 7,449 41,692 4,770 8,596 14,151 18,322 2,328 2,854 8,662 9,250 9,753 27,347 54,522 8,295



Cedar Rapids, IA . . . . . . . . . . . . . . Champaign-Urbana, IL . . . . . . . . . . Charleston, WV . . . . . . . . . . . . . . . Charleston-North Charleston, SC . . . Charlotte-Gastonia-Concord, NC-SC . Charlottesville, VA . . . . . . . . . . . . .



2,928 12,115 2,151 10,109 3,355 10,936 6,217 11,029 17,091 12,150 2,072 11,627 5,169 1,191 100,306 78,415 7,320 14,572 10,696 14,313 10,824 10,109 10,735 17,580



Chattanooga, TN-GA . . . . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI . . Chicago-Naperville-Joliet, IL . . . . . . Gary, IN . . . . . . . . . . . . . . . . . . . Lake County-Kenosha County, IL-WI See footnotes at end of table.



(NA) 17,465 77.6 3,683 73.1 314,064 73.3 261,629 58.5 24,673 84.0 27,762



174



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-10. Metropolitan Areas — Banking, Retail Trade, and Accommodation and Food Services—Con.

Banking,1 2004 Retail trade2 (NAICS 44–45), 2002 Sales Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Number of offices Chico, CA. . . . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN Clarksville, TN-KY . . . . . . . . . . Cleveland, TN . . . . . . . . . . . . . Cleveland-Elyria-Mentor, OH . . . Coeur d’Alene, ID . . . . . . . . . . College Station-Bryan, TX . Colorado Springs, CO. . . . Columbia, MO . . . . . . . . . Columbia, SC . . . . . . . . . Columbus, GA-AL . . . . . . Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 768 77 42 737 39 51 137 59 179 74 26 469 104 15 34 1,340 908 432 37 35 44 148 264 48 46 150 635 190 1,123 391 732 48 32 40 99 119 64 14 49 57 25 73 87 94 120 18 83 23 69 165 27 93 70 58 37 78 116 78 129 143 28 66 51 48 32 43 42 240 24 59 116 208 44 Deposits (mil. dol.) 2,547 43,045 2,207 1,313 62,259 1,271 2,091 4,735 2,022 8,689 4,280 2,404 26,103 3,819 648 800 93,059 73,989 19,070 1,673 987 1,392 5,440 9,364 1,563 1,618 6,891 35,892 11,155 76,202 28,080 48,122 1,917 1,377 1,588 2,969 5,205 1,834 1,208 1,338 1,848 1,144 4,390 3,028 3,068 4,853 761 3,059 888 2,213 5,504 783 3,782 2,108 1,937 1,332 3,447 3,399 2,843 4,520 7,416 1,069 2,416 2,322 1,701 959 1,288 1,495 10,941 885 2,236 4,998 9,129 1,400 Percent General Per mercap- Change, chanita3 1997– dise (dol.) 2002 stores4 34.9 18.1 20.5 13.5 19.9 25.9 18.7 21.6 19.4 16.6 21.6 7.5 17.1 18.7 13.6 13.7 24.7 23.9 26.4 18.0 12.3 10.6 10.6 15.8 8.2 13.1 21.3 (NA) 22.2 15.6 10.0 18.7 15.0 29.7 17.0 23.8 23.3 26.8 36.0 22.9 −2.1 19.1 23.6 20.1 12.0 20.5 19.9 17.9 25.0 17.4 46.2 24.0 11.2 15.7 16.5 15.5 29.7 15.4 41.1 13.5 30.2 23.6 22.5 20.3 34.4 −0.9 15.2 44.2 25.0 26.0 (NA) 18.2 16.3 21.1 17.6 (NA) (NA) 18.6 (NA) 15.7 (NA) (NA) (NA) (NA) (NA) 18.0 (NA) (NA) 14.6 (NA) (NA) (NA) (NA) 13.5 22.2 19.7 (NA) (NA) 17.3 22.9 16.6 13.8 (NA) 15.3 15.1 15.4 (NA) 21.7 19.1 (NA) (NA) 18.9 23.6 19.2 21.1 20.3 25.3 15.5 19.2 (NA) (NA) (NA) 21.8 18.7 (NA) 17.7 18.4 17.8 21.8 16.1 18.5 (NA) 19.1 (NA) 16.5 17.7 (NA) 17.8 10.2 23.2 (NA) 20.1 (NA) 21.9 (NA) (NA) 12.4 (NA) Accommodation and food services2 (NAICS 72), 2002 Sales Percent



Establishments 770 7,108 865 426 7,835 540 707 2,033 656 2,680 1,040 323 5,812 1,457 269 440 18,259 12,156 6,103 625 321 496 1,571 2,958 661 477 1,888 8,256 2,002 16,393 6,593 9,800 795 568 502 1,340 1,692 687 481 491 727 401 2,138 1,159 1,421 1,493 332 790 470 1,110 1,502 671 1,703 1,051 698 411 1,251 1,113 968 1,565 2,475 454 953 551 682 519 484 600 2,669 431 582 1,165 2,798 694



Total (mil. dol.)



Paid employees5 10,644 111,562 11,022 4,667 111,220 6,262 9,133 30,004 9,389 36,150 13,922 4,180 100,175 18,766 3,319 5,524 276,521 184,036 92,485 6,864 4,012 5,794 22,436 47,597 7,129 6,689 24,312 123,541 33,333 226,616 78,991 147,625 8,525 8,416 6,358 16,417 23,351 10,463 6,423 5,836 9,594 5,766 29,951 16,418 19,048 21,681 4,758 13,379 6,157 15,627 19,589 7,896 24,353 11,599 7,832 6,279 15,809 13,115 12,181 24,411 32,591 4,581 13,923 6,729 7,402 5,818 7,137 7,682 43,533 5,552 7,331 17,618 37,926 8,314



Establishments 381 3,904 378 154 4,412 307 359 1,147 351 1,187 477 121 3,323 921 182 220 9,639 6,351 2,946 209 168 167 842 1,589 222 218 972 4,692 1,107 7,888 3,254 4,634 229 211 240 832 909 377 214 166 352 208 1,090 612 781 665 195 396 177 514 664 455 717 343 234 222 702 439 422 749 1,290 171 453 232 494 170 243 250 1,252 257 320 707 1,276 276



Total (mil. dol.) 223 3,546 246 107 2,905 222 264 1,066 235 860 389 95 2,752 590 97 121 9,157 6,315 2,622 143 73 102 711 1,180 137 133 735 4,374 735 5,671 2,306 3,365 142 153 115 442 730 184 127 139 225 105 772 320 465 552 155 267 137 374 435 424 443 206 137 112 477 255 357 514 824 103 331 199 235 103 134 180 861 130 158 368 958 195



Per capita3 (dol.) 1,067 (NA) 1,050 1,016 1,356 1,944 1,420 1,891 1,580 1,297 1,359 1,319 1,661 1,459 1,228 1,193 (NA) 1,723 1,450 1,140 873 934 1,897 1,396 938 1,177 1,599 1,922 1,481 1,266 1,130 1,380 1,077 1,163 1,289 1,601 1,657 1,220 870 1,273 1,210 1,152 1,113 1,135 1,421 1,602 1,829 1,510 1,146 1,096 1,186 3,538 1,004 1,056 966 1,144 1,806 917 2,040 1,295 990 996 1,405 1,308 1,872 914 1,403 1,477 1,137 1,625 775 1,273 1,459 1,246



Change, 1997– 2002 42.5 (NA) 24.7 23.8 16.4 61.4 44.6 22.9 28.3 (NA) (NA) −7.4 32.0 24.2 12.9 36.1 (NA) 27.0 34.7 27.7 6.1 19.2 63.9 19.4 19.9 7.3 15.6 41.3 27.6 18.3 14.0 21.4 (NA) 29.3 21.8 21.5 (NA) 22.1 42.0 (NA) 18.7 21.3 9.8 20.8 19.7 (NA) 38.3 13.4 37.4 15.3 49.3 4.1 9.7 15.5 20.8 20.4 38.4 16.3 36.6 13.5 30.3 20.6 (NA) 33.8 18.0 22.6 13.1 44.7 24.5 18.2 (NA) 14.6 23.8 24.7



Food Paid ser- employvices6 ees5 89.5 (NA) (NA) (NA) 85.3 55.0 (NA) 63.4 (NA) (NA) (NA) 82.4 6,353 84,519 7,859 3,104 76,420 5,031 7,650 24,039 6,865 24,546 9,447 2,734



2,027 9,714 21,528 10,574 2,092 8,933 900 8,517 23,715 11,070 1,288 11,265 1,745 6,193 1,785 6,725 2,732 732 9,368 10,991 12,004 10,149 9,548 10,186



Columbus, OH . . . . . . . . . . Corpus Christi, TX . . . . . . . . Corvallis, OR . . . . . . . . . . . Cumberland, MD-WV . . . . . . Dallas-Fort Worth-Arlington, Dallas-Plano-Irving, TX . . . Fort Worth-Arlington, TX . .



... ... ... ... TX . ... ...



20,283 12,238 3,866 9,560 538 6,811 917 9,065 62,298 11,383 41,951 11,449 20,347 11,250 1,458 11,619 717 8,618 980 8,984 4,112 10,964 9,249 10,943 1,356 9,257 1,277 4,714 27,989 6,185 51,765 17,444 34,321 1,703 1,719 1,094 3,037 4,124 1,924 11,344 10,260 12,296 12,459 11,558 8,550 14,074 12,904 13,061 12,232 10,997 9,355 12,796



84.5 71,670 82.6 16,158 86.8 2,703 (NA) 3,746 (NA) 205,313 (NA) 137,044 86.0 63,657 85.3 89.7 (NA) (NA) 89.3 (NA) 3,586 2,441 3,026 16,740 33,483 3,895



Dalton, GA . . . . . . . . . . . . . . . . . Danville, IL . . . . . . . . . . . . . . . . . Danville, VA . . . . . . . . . . . . . . . . Davenport-Moline-Rock Island, IA-IL Dayton, OH . . . . . . . . . . . . . . . . Decatur, AL . . . . . . . . . . . . . . . .



Decatur, IL . . . . . . . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, FL Denver-Aurora, CO7 . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . . . . . . . . . . . Detroit-Warren-Livonia, MI. . . . . . . . . . . Detroit-Livonia-Dearborn, MI . . . . . . . . . Warren-Farmington Hills-Troy, MI. . . . . . Dothan, AL . . . Dover, DE . . . Dubuque, IA . . Duluth, MN-WI Durham, NC . . Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



84.4 3,948 72.3 18,167 75.7 95,251 (NA) 19,765 87.7 144,761 85.3 58,299 89.4 86,462 (NA) 82.1 82.6 66.7 76.2 83.4 83.0 88.4 88.7 89.5 86.9 85.9 83.1 (NA) 68.2 (NA) 83.6 (NA) (NA) 51.8 94.4 81.8 92.5 89.8 79.4 87.7 84.3 (NA) 88.5 91.9 (NA) (NA) (NA) 90.1 83.7 76.2 84.7 81.6 94.9 83.8 81.1 88.9 3,889 3,817 3,912 12,508 17,210 6,095 2,909 3,824 6,218 3,262 20,736 10,033 11,579 14,891 2,914 8,566 3,832 10,602 12,023 8,923 12,693 6,207 4,228 3,695 12,248 7,471 8,857 15,874 21,110 3,231 9,241 4,263 4,107 3,152 4,726 4,740 24,400 3,908 4,841 11,489 24,290 6,325



El Centro, CA . . . . Elizabethtown, KY . Elkhart-Goshen, IN. Elmira, NY . . . . . . El Paso, TX . . . . . Erie, PA . . . . . . . .



1,345 9,234 1,154 10,612 1,932 10,394 1,043 11,489 5,807 8,373 3,076 10,895 3,720 11,376 4,098 11,895 1,113 13,126 2,508 14,169 1,239 10,325 3,090 9,069 3,788 10,324 1,340 11,174 5,027 11,401 2,187 11,207 1,525 10,748 1,029 10,519 3,165 11,996 2,500 8,987 2,476 14,131 4,448 11,207 7,259 8,724 912 8,858 2,406 10,199 1,493 9,834 1,500 11,937 1,024 9,049 1,321 13,791 1,662 13,603 9,162 12,104 1,012 12,683 1,673 8,187 3,382 11,696 7,725 11,765 1,734 11,079



Eugene-Springfield, OR Evansville, IN-KY . . . . . Fairbanks, AK . . . . . . . Fargo, ND-MN. . . . . . . Farmington, NM. . . . . . Fayetteville, NC . . . . . .



Fayetteville-Springdale-Rogers, AR-MO . Flagstaff, AZ . . . . . . . . . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Florence, SC. . . . . . . . . . . . . . . . . . . Florence-Muscle Shoals, AL. . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Fort Wayne, IN . . . . . . . . . . . . . . . . . Fresno, CA . . . . . . . . . . . . . . . . . . . . Gadsden, AL. . . . . . . . . . . . . . . . . . . Gainesville, FL . . . . Gainesville, GA . . . . Glens Falls, NY . . . . Goldsboro, NC . . . . Grand Forks, ND-MN Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Grand Rapids-Wyoming, MI . Great Falls, MT . . . . . . . . . Greeley, CO7 . . . . . . . . . . Green Bay, WI . . . . . . . . . Greensboro-High Point, NC . Greenville, NC. . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



175



Table B-10. Metropolitan Areas — Banking, Retail Trade, and Accommodation and Food Services—Con.

Banking,1 2004 Retail trade2 (NAICS 44–45), 2002 Sales Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Number of offices Greenville, SC. . . . . . . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . . Hagerstown-Martinsburg, MD-WV . Hanford-Corcoran, CA . . . . . . . . Harrisburg-Carlisle, PA . . . . . . . . Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203 85 90 19 220 48 386 56 102 13 86 195 51 79 1,190 110 90 32 533 48 33 52 198 47 269 24 46 58 62 81 62 76 93 39 706 55 77 118 55 230 38 49 67 99 77 125 196 129 38 42 313 54 38 49 22 32 177 38 125 299 25 67 20 2,160 1,572 588 463 81 82 65 23 210 Deposits (mil. dol.) 8,961 2,803 2,641 818 8,284 1,363 26,148 1,568 4,057 293 3,275 18,402 1,260 2,383 83,930 3,452 4,480 941 23,608 2,038 1,203 1,552 7,071 1,418 19,693 698 1,599 2,693 2,266 2,248 1,846 1,932 3,043 1,514 31,123 1,773 2,776 3,674 2,228 8,692 1,065 1,875 2,107 3,224 1,959 4,562 7,380 4,926 4,259 1,236 28,526 1,363 855 1,519 620 1,129 6,503 1,700 4,435 9,165 932 2,698 569 246,643 188,911 57,732 19,336 4,015 3,168 3,074 878 10,340 Percent General Per mercap- Change, chanita3 1997– dise (dol.) 2002 stores4 10,227 10,168 10,798 5,378 12,611 12,432 7.5 33.9 36.9 15.0 17.9 30.6 16.3 21.3 21.1 25.3 11.5 6.7 26.4 12.1 30.4 21.2 27.0 30.2 19.2 23.9 30.5 20.1 25.1 13.3 30.6 32.2 9.6 46.9 30.3 12.7 22.0 29.5 11.3 21.9 18.7 32.4 40.5 13.9 43.8 17.9 16.8 4.8 21.3 9.4 26.2 17.6 15.1 17.8 33.5 18.2 56.7 15.7 30.2 6.1 10.6 17.7 26.5 3.8 26.3 19.0 9.2 22.4 15.6 33.6 32.5 36.5 21.4 22.1 21.7 13.7 33.7 22.3 15.8 (NA) 18.6 19.1 (NA) (NA) 10.0 (NA) (NA) (NA) 23.2 20.0 (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) 7.8 26.1 (NA) 20.0 (NA) 18.4 18.0 (NA) (NA) 19.1 (NA) (NA) (NA) 20.0 (NA) (NA) (NA) (NA) 14.5 (NA) 22.3 (NA) (NA) 18.8 (NA) 18.8 10.6 (NA) 22.2 21.1 (NA) 17.6 28.0 15.2 (NA) 13.9 (NA) 27.1 (NA) (NA) (NA) (NA) 18.6 11.8 11.6 12.2 (NA) (NA) (NA) (NA) (NA) (NA) Accommodation and food services2 (NAICS 72), 2002 Sales Percent



Establishments 2,302 1,119 993 307 2,104 563 4,477 671 1,456 189 819 3,065 533 817 16,000 1,236 1,488 507 5,803 628 366 600 2,108 596 4,735 572 558 593 724 613 555 788 1,155 396 6,880 771 1,045 1,317 827 2,730 459 553 680 1,136 830 1,713 2,002 1,687 728 513 4,750 422 422 446 271 481 1,750 512 1,108 2,650 391 990 392 38,195 28,636 9,559 4,509 1,083 1,032 1,008 334 2,119



Total (mil. dol.) 5,859 2,533 2,500 724 6,484 1,367



Paid employees5 29,920 13,539 13,352 3,530 31,744 6,934 63,740 7,985 17,466 2,025 11,687 41,968 5,841 11,737 230,260 15,905 19,386 6,649 95,598 9,333 4,631 8,183 27,806 7,737 65,063 6,807 8,366 9,705 9,379 7,639 6,589 9,760 17,631 5,786 105,736 10,262 13,619 15,150 8,995 40,617 6,361 9,125 11,129 15,851 11,429 22,457 29,751 27,246 10,429 6,499 79,005 5,988 4,999 6,272 3,413 6,704 28,329 7,367 17,528 35,003 5,413 11,261 4,510 522,275 378,933 143,342 66,025 15,820 13,647 13,820 3,500 38,450



Establishments 1,084 530 435 156 1,143 210 2,316 219 621 84 348 2,119 249 333 7,761 501 615 219 3,123 326 317 282 841 204 2,166 250 353 237 298 295 174 312 604 207 3,466 381 509 502 473 1,158 207 330 373 486 322 649 857 854 288 245 2,787 265 190 206 138 195 861 228 595 1,074 149 335 219 22,985 17,074 5,911 2,109 528 355 414 170 1,299



Total (mil. dol.) 731 1,587 269 87 827 148 1,632 143 373 44 217 2,957 158 199 7,136 316 486 120 2,654 203 157 159 651 159 1,849 170 184 152 203 129 120 188 401 112 3,202 234 316 224 273 997 144 173 252 419 401 452 588 582



Per capita3 (dol.) 1,276 6,371 1,162 644 1,609 1,346 1,396 1,126 1,069 622 881 3,337 1,757 1,013 1,437 1,102 1,376 1,142 1,682 1,506 1,597 986 1,289 1,452 1,575 1,138 1,193 1,067 1,102 860 1,098 1,177 1,261 1,063 1,697 1,149 936 748 1,512 1,577 1,423 1,350 1,401 1,727 2,080 905 1,229 1,287



Change, 1997– 2002 15.0 (NA) 30.0 33.0 28.4 18.9 28.6 (NA) 24.7 20.4 25.4 −2.6 31.5 28.7 33.4 15.1 24.0 (NA) 27.3 31.1 38.8 16.0 (NA) 10.1 27.6 33.3 21.6 (NA) 19.5 16.2 33.6 18.1 28.4 11.5 (NA) 36.9 (NA) (NA) 26.5 33.1 16.0 16.1 (NA) (NA) 30.2 7.9 16.1 18.8 66.2 27.6 32.5 30.1 25.4 23.5 22.6 45.7 21.7 15.3 19.0 (NA) 51.9 18.1 15.9 29.2 28.2 31.6 (NA) 24.7 (NA) (NA) 27.9 (NA)



Food Paid ser- employvices6 ees5 83.9 (NA) 78.7 89.8 68.7 (NA) 83.3 87.5 92.2 (NA) 93.5 55.0 20,641 24,258 7,366 2,087 19,383 4,348 36,558 4,706 10,865 1,380 6,235 49,864



Hartford-West Hartford-East Hartford, CT . Hattiesburg, MS. . . . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . . Holland-Grand Haven, MI . . . . . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . . . . . Hot Springs, AR. . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA Houston-Sugar Land-Baytown, TX . Huntington-Ashland, WV-KY-OH . . . Huntsville, AL . . . . . . . . . . . . . . . Idaho Falls, ID. . . . . . . . . . . . . . . Indianapolis, IN . Iowa City, IA . . . Ithaca, NY . . . . Jackson, MI . . . Jackson, MS . . . Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



12,723 10,883 1,414 11,148 3,555 10,190 328 4,590 2,142 8,693 8,817 9,948 1,107 1,833 52,301 2,922 3,828 1,293 12,301 9,335 10,529 10,199 10,847 12,311



71.0 4,426 90.8 5,646 82.3 161,029 (NA) 8,785 85.3 12,910 82.1 3,464 80.9 80.9 78.0 90.6 84.3 84.7 71.7 87.3 90.7 (NA) (NA) 90.3 93.1 87.0 86.7 91.9 68.2 81.9 (NA) (NA) 56.9 85.1 (NA) (NA) (NA) (NA) (NA) 85.5 77.6 (NA) 66,403 6,549 3,815 4,617 17,421 4,780 43,422 5,364 5,356 3,900 6,158 4,040 3,508 5,939 12,506 3,347 74,199 5,835 8,803 9,431 6,549 26,681 3,857 6,344 7,328 11,148 9,812 11,901 15,425 17,658



19,132 12,126 1,420 10,525 804 8,181 1,549 9,606 5,625 11,136 1,469 13,430 13,615 11,598 1,441 9,622 1,754 11,384 1,723 12,114 1,886 10,265 1,404 9,332 1,186 10,869 1,871 11,684 3,217 10,121 1,105 10,495 21,864 11,585 2,245 11,039 2,945 2,954 1,838 8,512 1,259 1,602 8,710 9,878 10,188 13,463 12,431 12,522



Jacksonville, FL. . . Jacksonville, NC . . Janesville, WI . . . . Jefferson City, MO . Johnson City, TN . . Johnstown, PA . . .



Jonesboro, AR . . . . . . . . . . . . Joplin, MO . . . . . . . . . . . . . . . Kalamazoo-Portage, MI . . . . . . Kankakee-Bradley, IL . . . . . . . . Kansas City, MO-KS. . . . . . . . . Kennewick-Richland-Pasco, WA . Killeen-Temple-Fort Hood, TX . Kingsport-Bristol-Bristol, TN-VA Kingston, NY. . . . . . . . . . . . . Knoxville, TN . . . . . . . . . . . . Kokomo, IN . . . . . . . . . . . . . La Crosse, WI-MN . . . . . . . . . Lafayette, IN . . . . . . . . . Lafayette, LA . . . . . . . . Lake Charles, LA . . . . . . Lakeland, FL. . . . . . . . . Lancaster, PA . . . . . . . . Lansing-East Lansing, MI Laredo, TX . . . . . . . . . . Las Cruces, NM . . . . . . Las Vegas-Paradise, NV . Lawrence, KS . . . . . . . . Lawton, OK . . . . . . . . . Lebanon, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



1,989 11,081 2,908 11,997 2,063 10,688 4,522 9,041 5,379 11,240 5,085 11,241 2,035 9,845 1,252 7,012 19,302 12,734 878 8,647 901 8,059 1,283 10,544 691 1,468 5,512 1,341 2,969 7,493 11,959 13,951 13,265 12,402 10,872 12,037



241 1,164 155 870 16,441 10,846 157 1,547 122 1,087 94 772 73 113 768 147 394 806 82 204 112 19,804 14,212 5,592 1,992 416 210 291 93 824 1,256 1,072 1,848 1,359 1,443 1,294 760 1,036 1,188 1,560 1,456 1,910 (NA) 1,635 913 (NA) 725 1,590



84.7 5,645 87.7 4,513 15.3 212,136 83.4 5,487 91.0 3,768 89.4 2,773 79.9 87.3 (NA) 92.1 (NA) (NA) 2,092 2,882 19,858 4,435 11,816 22,021



Lewiston, ID-WA . . . . . . . . . . . Lewiston-Auburn, ME . . . . . . . . Lexington-Fayette, KY . . . . . . . Lima, OH . . . . . . . . . . . . . . . . Lincoln, NE. . . . . . . . . . . . . . . Little Rock-North Little Rock, AR.



Logan, UT-ID . . . . . . . . . . . . . . . . . . . . Longview, TX . . . . . . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Los Angeles-Long Beach-Glendale, CA . Santa Ana-Anaheim-Irvine, CA . . . . . . . Louisville, KY-IN Lubbock, TX . . . Lynchburg, VA. . Macon, GA . . . . Madera, CA . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



805 7,482 2,304 11,687 938 9,914 127,837 10,072 92,100 9,433 35,737 12,205 12,573 3,315 2,498 2,402 705 7,923 10,651 13,043 10,855 10,676 5,474 15,289



89.7 2,665 (NA) 5,869 91.4 2,984 78.9 405,651 80.5 290,380 74.8 115,271 (NA) (NA) (NA) (NA) 68.1 82.0 48,268 11,806 6,724 7,424 2,070 23,044



See footnotes at end of table.



176



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-10. Metropolitan Areas — Banking, Retail Trade, and Accommodation and Food Services—Con.

Banking,1 2004 Retail trade2 (NAICS 44–45), 2002 Sales Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Number of offices Manchester-Nashua, NH . . . . Mansfield, OH . . . . . . . . . . . McAllen-Edinburg-Mission, TX Medford, OR . . . . . . . . . . . . Memphis, TN-MS-AR . . . . . . Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 46 114 69 373 30 1,446 426 572 448 33 39 560 750 33 105 93 72 44 109 41 42 45 40 41 106 40 126 452 262 355 5,074 805 840 819 2,610 60 87 77 58 28 93 350 63 298 471 46 60 153 125 47 70 46 113 157 1,847 359 1,269 219 701 36 879 57 27 181 510 116 211 47 387 83 38 Deposits (mil. dol.) 6,489 1,493 6,350 2,219 25,947 1,603 123,861 30,504 62,369 30,988 1,261 2,090 38,461 52,380 1,242 4,803 5,205 1,976 1,639 5,024 1,541 1,288 1,530 1,426 1,292 3,806 2,338 8,132 23,141 15,601 19,794 708,689 58,488 75,300 47,249 527,652 1,919 3,935 3,548 2,361 1,166 3,061 14,854 2,060 13,804 25,711 1,581 1,966 10,976 5,791 2,113 2,177 1,288 4,068 5,173 181,749 17,386 71,350 93,013 43,718 954 53,279 2,609 549 7,095 22,963 6,012 8,467 2,472 27,544 2,492 1,213 Percent General Per mercap- Change, chanita3 1997– dise (dol.) 2002 stores4 25.5 14.3 50.5 24.3 17.3 45.4 25.0 22.4 18.6 40.5 8.3 5.5 13.4 24.0 42.7 19.7 49.9 18.9 35.1 11.2 22.0 23.9 49.8 18.2 12.5 28.7 46.0 59.8 21.2 20.0 17.8 28.2 27.9 27.1 26.6 29.2 1.2 25.2 28.8 43.9 19.1 16.9 15.4 38.3 23.5 26.1 1.4 21.8 39.3 34.2 24.6 30.9 2.7 20.7 13.0 25.7 36.8 21.4 30.0 28.3 5.7 14.5 22.7 13.3 22.2 12.7 34.0 34.3 33.7 39.7 32.5 21.2 14.5 23.6 19.0 17.5 (NA) 19.3 11.3 11.3 11.5 11.1 18.4 18.4 13.7 (NA) 19.8 18.9 16.2 23.0 15.8 (NA) 16.9 (NA) 18.5 21.5 28.0 17.3 7.6 11.3 (NA) 11.9 (NA) 8.5 11.6 10.9 (NA) 8.8 18.3 15.9 20.7 (NA) 22.0 (NA) (NA) 20.1 (NA) (NA) 12.6 (NA) 12.6 17.3 23.0 (NA) 22.6 (NA) (NA) 10.4 11.0 9.7 12.8 (NA) (NA) 14.7 9.9 (NA) 11.0 (NA) (NA) 14.7 17.4 11.4 (NA) 24.3 Accommodation and food services2 (NAICS 72), 2002 Sales Percent



Establishments 1,703 527 1,713 898 4,379 544 22,632 7,193 10,113 5,326 496 529 5,062 10,896 557 1,647 1,433 798 441 1,461 470 488 618 525 623 1,585 551 1,465 5,579 3,218 5,005 75,123 8,742 13,369 8,390 44,622 624 1,119 1,063 772 497 1,352 4,335 757 2,931 7,392 553 510 2,429 1,913 813 735 549 1,587 1,427 21,082 4,479 14,030 2,573 10,399 399 9,377 794 381 2,669 6,806 1,339 2,607 789 6,550 1,172 542



Total (mil. dol.)



Paid employees5 27,247 7,734 24,012 11,018 63,237 6,975 278,569 96,645 110,975 70,949 6,041 6,443 83,547 189,192 7,888 21,045 21,925 9,789 7,043 18,318 5,913 5,577 7,263 7,418 8,558 15,962 6,618 18,943 79,778 44,627 69,141 790,694 121,795 157,498 96,857 414,544 7,777 14,752 14,139 5,816 6,591 21,722 58,681 10,154 50,067 102,604 8,072 6,376 36,622 26,449 9,819 10,265 6,426 19,542 19,681 306,842 64,437 203,363 39,042 174,829 4,490 132,572 8,740 4,696 32,624 100,696 18,649 33,132 9,028 85,666 18,658 7,344



Establishments 753 270 692 552 1,982 278 9,603 3,363 3,935 2,305 233 240 2,870 5,475 329 637 751 282 247 551 236 167 295 225 317 1,052 343 586 2,521 1,674 2,917 36,146 4,477 5,813 4,177 21,679 413 589 378 933 219 637 2,177 399 1,614 3,303 352 173 1,287 839 449 327 234 636 861 10,787 2,092 7,534 1,161 5,851 153 5,039 511 184 1,629 4,465 535 1,285 490 3,846 493 338



Total (mil. dol.) 554 153 525 299 2,939 141 9,228 2,800 4,162 2,266 341 170 1,952 4,944 206 439 499 206 132 412 133 112 187 147 177 1,065 351 698 2,508 1,012 3,151 28,045 2,995 3,699 2,744 18,607 191 2,380 241 498 154 381 1,570 245 1,337 6,060 167 136 987 604 373 195 133 477 606 7,558 1,346 5,287 926 5,638 77 3,296 327 94 1,001 3,015 390 676 313 2,460 334 176



Per capita3 (dol.) 1,413 1,188 856 1,599 2,396 626 1,773 1,643 1,799 1,908 3,093 1,447 1,293 1,618 2,105 1,098 1,038 1,211 883 1,174 1,183 894 1,750 1,233 1,028 5,170 2,700 2,531 1,853 1,212 2,399 1,509 1,335 1,323 1,288 1,629 1,176 9,060 884 4,888 1,257 829 1,402 1,128 1,707 3,453 1,056 1,230 1,264 1,219 2,451 (NA) 866 1,125 1,655 1,316 1,110 1,368 1,391 1,616 (NA) 1,365 2,455 1,123 1,995 1,498 1,157 1,048 1,747 1,525 835 1,193



Change, 1997– 2002 34.0 8.9 49.0 45.6 24.8 29.5 25.8 13.2 30.1 36.5 221.3 37.2 25.4 31.6 41.4 18.6 58.9 (NA) 34.4 (NA) 30.1 (NA) 58.0 15.8 15.1 20.8 22.2 30.0 (NA) 25.7 33.4 30.0 33.9 31.6 19.8 30.7 16.8 614.9 19.9 35.2 28.4 23.2 (NA) 27.0 (NA) 12.2 8.8 (NA) 27.3 22.0 11.0 (NA) (NA) 18.0 (NA) 28.9 30.2 30.3 19.2 30.0 (NA) 25.8 32.3 20.5 33.3 20.5 23.7 32.8 73.5 38.3 41.5 23.5



Food Paid ser- employvices6 ees5 85.6 91.7 84.4 80.4 45.5 89.0 13,018 4,685 13,341 7,149 57,244 3,763



6,183 15,761 1,484 11,557 5,023 8,196 2,580 13,803 12,734 10,381 1,602 7,124 63,061 22,012 24,568 16,481 1,128 1,294 16,222 38,700 1,525 4,074 4,919 1,873 12,114 12,917 10,616 13,879 10,234 11,014 10,745 12,667 15,590 10,194 10,242 11,023



Miami-Fort Lauderdale-Miami Beach, FL . . . . . . . . . . Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . West Palm Beach-Boca Raton-Boynton Beach, FL . . . Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . Minneapolis-St. Paul-Bloomington, MN-WI Missoula, MT . . . . . . . . . . . . . . . . . . . Mobile, AL . . . . . . . . . . . . . . . . . . . . . Modesto, CA. . . . . . . . . . . . . . . . . . . . Monroe, LA . . . . . . . . . . . . . . . . . . . . Monroe, MI . . . . . . . . . . . . . Montgomery, AL . . . . . . . . . Morgantown, WV . . . . . . . . . Morristown, TN . . . . . . . . . . Mount Vernon-Anacortes, WA Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



69.6 188,687 76.1 60,130 65.2 81,610 69.9 46,947 (NA) 5,029 87.9 4,641 85.3 52,862 (NA) 125,153 78.1 5,202 85.9 12,289 90.7 13,117 (NA) 5,689 91.5 84.8 78.2 (NA) 68.2 92.0 87.5 56.4 61.8 57.0 (NA) 88.5 4,124 11,024 3,915 3,241 3,973 4,542 5,370 20,870 6,678 13,104 54,794 22,068



1,398 9,365 3,538 10,073 1,006 8,950 1,180 9,405 1,604 15,029 1,323 11,121 1,536 8,920 3,224 15,647 1,390 10,696 4,197 15,222 15,845 11,712 9,268 11,102 12,916 9,833 183,728 9,883 27,877 12,424 38,117 13,638 23,322 10,947 94,412 8,267 1,318 8,113 3,012 11,464 2,860 10,496 1,383 13,587 1,358 11,091 4,194 9,118 11,678 2,236 9,840 21,266 1,511 1,125 10,429 10,299 12,567 12,118 9,535 10,196



Muskegon-Norton Shores, MI. . . . . . . . . . . . Myrtle Beach-Conway-North Myrtle Beach, SC Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . Naples-Marco Island, FL . . . . . . . . . . . . . . . Nashville-Davidson-Murfreesboro, TN . . . . . . New Haven-Milford, CT. . . . . . . . . . . . . . . .



New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA Edison, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . Niles-Benton Harbor, MI . Norwich-New London, CT Ocala, FL . . . . . . . . . . . Ocean City, NJ . . . . . . . Odessa, TX . . . . . . . . . Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



63.1 69,171 76.4 477,314 83.0 59,981 88.9 72,219 79.9 52,940 72.3 292,174 82.8 12.0 88.5 49.7 90.0 88.0 5,548 28,640 5,988 6,192 4,073 11,613



Oklahoma City, OK . . . . . . . Olympia, WA. . . . . . . . . . . . Omaha-Council Bluffs, NE-IA . Orlando-Kissimee, FL . . . . . . Oshkosh-Neenah, WI . . . . . . Owensboro, KY . . . . . . . . . .



(NA) 43,709 88.7 6,418 (NA) 32,638 44.4 103,829 88.5 5,162 (NA) 4,033 82.9 78.0 65.9 (NA) (NA) 88.8 22,571 15,741 8,874 5,521 3,858 12,494



Oxnard-Thousand Oaks-Ventura, CA. Palm Bay-Melbourne-Titusville, FL . . Panama City-Lynn Haven, FL . . . . . Parkersburg-Marietta-Vienna, WV-OH Pascagoula, MS . . . . . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Peoria, IL . . . . . . . . . . . . . . . . . . Philadelphia-Camden-Wilmington, Camden, NJ . . . . . . . . . . . . . . Philadelphia, PA . . . . . . . . . . . . Wilmington, DE-MD-NJ . . . . . . . Phoenix-Mesa-Scottsdale, AZ . . . .



9,025 11,557 5,233 10,555 1,865 12,249 2,021 12,350 1,069 6,986 4,146 9,776 3,895 67,476 15,681 43,500 8,295 38,501 10,633 11,752 12,933 11,258 12,467 11,036



........... PA-NJ-DE-MD . ........... ........... ........... ........... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(NA) 15,534 81.3 162,363 87.3 31,139 79.1 110,146 84.8 21,078 72.2 132,226 (NA) 81.6 54.3 79.8 66.7 82.4 81.4 80.7 55.1 86.3 79.6 86.0 2,200 88,798 7,554 2,988 20,080 71,328 10,263 15,007 7,279 57,233 10,316 5,495



Pine Bluff, AR . . . . . . . . . . . . . . . . . . Pittsburgh, PA . . . . . . . . . . . . . . . . . . Pittsfield, MA. . . . . . . . . . . . . . . . . . . Pocatello, ID . . . . . . . . . . . . . . . . . . . Portland-South Portland-Biddeford, ME . Portland-Vancouver-Beaverton, OR-WA .



810 7,610 25,138 10,411 1,571 11,785 841 10,099 6,445 12,849 21,750 10,804 3,808 11,294 7,129 11,064 1,608 8,978 17,695 10,972 3,349 8,367 1,431 9,708



Port St. Lucie-Fort Pierce, FL. . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA. Provo-Orem, UT . . . . . . . . . . . . . . . . . . Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



177



Table B-10. Metropolitan Areas — Banking, Retail Trade, and Accommodation and Food Services—Con.

Banking,1 2004 Retail trade2 (NAICS 44–45), 2002 Sales Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Number of offices Punta Gorda, FL . Racine, WI . . . . . Raleigh-Cary, NC. Rapid City, SD . . Reading, PA . . . . Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 67 252 34 137 42 80 366 478 128 59 280 92 45 28 355 66 66 33 61 802 95 76 53 268 28 333 539 25 958 488 470 328 70 98 51 39 119 268 91 236 870 673 197 42 41 104 68 120 83 77 124 86 217 173 39 64 107 18 197 90 694 57 40 215 123 135 151 268 53 63 Deposits (mil. dol.) 2,869 2,462 11,730 1,456 6,260 1,927 9,099 33,149 31,399 4,585 2,199 12,597 5,176 1,401 1,147 24,983 1,717 2,816 1,096 1,777 44,028 3,269 5,585 1,420 92,458 1,118 27,961 43,813 850 154,040 47,062 106,978 47,230 3,999 8,076 3,970 1,751 8,392 14,233 4,028 9,699 56,990 50,272 6,718 1,682 1,422 3,698 2,042 43,737 3,215 2,716 4,805 4,015 9,973 6,136 1,407 1,741 36,847 684 8,107 4,298 40,169 2,140 1,488 8,216 4,054 8,847 8,941 13,022 2,316 2,650 Percent General Per mercap- Change, chanita3 1997– dise (dol.) 2002 stores4 34.9 21.2 32.3 35.3 15.5 45.6 32.9 31.3 47.0 17.9 37.8 17.0 18.2 8.5 18.8 49.6 9.1 34.8 31.6 20.1 22.0 12.4 33.8 22.0 14.3 27.4 37.6 42.2 14.0 31.5 34.6 28.0 20.5 49.9 35.4 32.9 27.2 38.2 24.2 19.2 22.6 25.9 25.1 29.7 26.2 25.3 24.0 2.9 27.1 18.0 17.8 18.1 18.4 28.6 19.5 20.4 21.6 48.8 9.2 21.2 21.8 24.4 3.2 22.4 12.6 20.1 31.7 26.8 17.4 21.4 24.8 26.7 16.8 12.2 (NA) 13.1 18.1 (NA) (NA) 15.9 (NA) (NA) 12.8 16.7 16.3 23.6 (NA) 18.3 (NA) 21.8 (NA) 11.5 (NA) 14.3 (NA) (NA) (NA) (NA) 14.1 21.0 11.6 12.7 10.3 (NA) 8.9 14.3 12.2 (NA) 12.8 13.6 (NA) (NA) 14.0 13.2 17.3 18.0 24.0 16.9 (NA) (NA) 19.7 13.7 17.7 (NA) (NA) (NA) 16.2 15.9 15.9 13.4 12.8 (NA) 13.1 (NA) (NA) (NA) (NA) 10.8 16.9 (NA) (NA) 18.4 Accommodation and food services2 (NAICS 72), 2002 Sales Percent



Establishments 558 689 3,513 690 1,374 705 1,428 4,422 8,876 1,336 756 3,621 1,124 665 424 5,899 1,052 850 459 504 10,042 1,227 1,542 524 3,669 472 5,600 9,486 350 14,202 7,121 7,081 5,277 1,205 1,633 979 910 1,870 2,691 1,338 2,449 11,202 8,953 2,249 423 468 1,492 639 961 1,144 1,102 1,699 858 2,661 1,775 508 576 1,661 455 2,469 1,272 9,507 716 586 2,528 973 1,409 2,818 3,242 851 831



Total (mil. dol.)



Paid employees5 7,862 9,815 49,561 8,037 19,099 8,904 21,369 66,208 133,530 19,818 11,904 56,321 17,602 7,361 4,663 89,589 13,900 12,902 6,012 6,361 147,393 16,195 17,811 7,181 58,643 5,855 83,190 138,363 4,595 206,977 110,894 96,083 85,350 13,634 20,685 12,714 9,196 26,106 35,068 17,401 33,223 160,703 129,881 30,822 6,266 5,889 19,475 12,312 14,360 17,580 13,809 24,543 12,617 36,081 24,197 7,228 8,520 23,716 4,930 36,216 17,961 135,646 11,359 7,375 37,700 12,414 19,525 43,549 45,071 10,662 10,656



Establishments 238 349 1,590 373 688 376 828 1,925 5,019 597 331 2,019 588 247 185 3,560 415 365 200 225 5,267 679 958 192 1,897 195 3,279 5,761 267 10,100 4,545 5,555 3,775 760 975 606 353 1,068 1,123 733 1,293 7,148 5,904 1,244 250 190 592 331 473 591 511 908 524 1,430 801 251 295 938 132 1,490 588 4,250 374 207 1,492 432 741 1,599 1,700 347 297



Total (mil. dol.) 138 186 1,239 235 369 231 2,005 1,454 4,202 397 275 1,126 367 146 121 2,811 339 228 156 120 4,517 569 1,034 127 1,697 128,329 3,060 6,331 181 8,778 3,235 5,542 3,083 600 841 426 376 724 877 602 679 5,260 4,478 782 139 116 1,339 190 355 369 300 579 332 788 529 153 209 572 79 823 422 3,587 208 190 982 333 554 1,388 1,117 240 237



Per capita3 (dol.) 922 975 1,439 2,034 966 1,346 5,490 (NA) 1,199 (NA) 1,621 1,083 1,124 1,011 1,310 1,460 1,617 1,304 1,561 976 1,651 (NA) 2,512 1,138 1,705 (NA) 1,718 2,186 2,294 2,109 1,319 3,240 1,782 2,382 2,094 1,683 2,803 1,554 1,413 1,997 1,226 1,685 1,873 1,070 1,224 1,021 3,552 1,333 1,824 1,161 1,155 1,354 1,628 1,151 1,397 1,066 1,509 933 749 1,264 1,302 1,442 1,227 1,450 1,490 (NA) 1,548 1,581 1,275 1,240 1,309



Change, 1997– 2002 11.9 20.3 (NA) 30.9 11.6 43.1 10.2 (NA) 44.9 (NA) (NA) 15.8 13.1 8.8 38.3 49.5 25.4 28.7 37.4 8.1 (NA) (NA) 23.5 30.6 28.3 (NA) (NA) 49.1 7.9 16.1 30.6 9.1 17.6 56.7 32.5 39.0 23.4 46.9 21.2 (NA) 27.9 21.6 20.3 29.4 30.9 10.8 (NA) 29.1 50.6 13.3 22.7 27.4 (NA) 24.6 32.0 15.4 35.1 51.7 12.6 25.4 31.7 21.5 (NA) 47.5 18.8 (NA) 40.6 33.2 24.2 (NA) 35.1



Food Paid ser- employvices6 ees5 89.5 87.7 83.0 64.2 89.0 75.6 20.7 (NA) 76.3 (NA) (NA) 86.9 88.9 86.8 94.1 75.4 82.3 86.3 3,654 5,473 29,949 5,493 10,028 5,355 35,569 37,371 94,812 10,855 7,323 29,785 10,034 4,568 3,066 62,034 9,495 7,113



1,435 9,570 1,895 9,924 11,145 12,943 1,688 14,632 3,846 10,072 1,972 11,471 4,996 13,681 12,657 11,255 32,270 9,211 3,714 12,841 2,243 13,221 10,310 9,919 3,490 1,356 960 21,122 2,703 2,496 10,678 9,417 10,366 10,968 12,880 14,269



Reno-Sparks, NV. . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . . . . . . Riverside-San Bernardino-Ontario, CA . Roanoke, VA. . . . . . . . . . . . . . . . . . Rochester, MN . . . . . . . . . . . . . . . . Rochester, NY. . . . . . . . . . . . . . . . .



Rockford, IL . . . . . . . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . Sacramento-Arden-Arcade-Roseville, CA . Saginaw-Saginaw Township North, MI . . . St. Cloud, MN . . . . . . . . . . . . . . . . . . . St. George, UT . . . St. Joseph, MO-KS St. Louis, MO-IL8 . . Salem, OR . . . . . . Salinas, CA . . . . . Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



1,157 11,615 1,168 9,481 30,088 10,998 3,264 9,075 4,063 9,873 1,296 11,610 12,151 1,137 18,780 31,586 834 48,253 26,621 21,632 20,421 2,668 4,311 2,618 1,809 5,732 7,138 3,239 6,174 37,994 30,905 7,090 1,149 1,369 4,078 12,209 10,803 10,543 10,906 10,569 11,591 10,854 12,647 11,802 10,587 10,738 10,335 13,484 12,303 11,508 10,748 11,148 12,170 12,928 9,694 10,144 12,039 10,815



60.7 3,681 (NA) 3,802 (NA) 110,070 (NA) 11,662 47.7 18,462 88.9 3,743 70.9 42,797 (NA) 3,811 (NA) 69,390 61.2 120,065 58.5 4,411 72.0 161,596 84.9 66,503 64.5 95,093 79.6 59,605 57.4 12,467 67.0 17,805 78.1 59.8 74.3 76.3 (NA) 85.0 10,060 7,846 15,536 20,308 14,813 18,742



Salt Lake City, UT . . . . . . . . . . . . . San Angelo, TX . . . . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA Sandusky, OH . . . . . . . . . . . . . . . .



San Francisco-Oakland-Fremont, CA . . . . . . Oakland-Fremont-Hayward, CA. . . . . . . . . . San Francisco-San Mateo-Redwood City, CA San Jose-Sunnyvale-Santa Clara, CA . . . . . . . San Luis Obispo-Paso Robles, CA . . . . . . . . . Santa Barbara-Santa Maria, CA . . . . . . . . . . . Santa Cruz-Watsonville, CA. . . Santa Fe, NM . . . . . . . . . . . . Santa Rosa-Petaluma, CA. . . . Sarasota-Bradenton-Venice, FL Savannah, GA . . . . . . . . . . . Scranton-Wilkes-Barre, PA . . . Seattle-Tacoma-Bellevue, WA Seattle-Bellevue-Everett, WA Tacoma, WA . . . . . . . . . . . Sheboygan, WI . . . . . . . . . . . Sherman-Denison, TX . . . . . . Shreveport-Bossier City, LA . . . Sioux City, IA-NE-SD . . Sioux Falls, SD . . . . . . South Bend-Mishawaka, Spartanburg, SC . . . . . Spokane, WA . . . . . . . Springfield, IL . . . . . . . Springfield, MA . . Springfield, MO . . Springfield, OH . . State College, PA Stockton, CA . . . Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..... ..... IN-MI . ..... ..... ..... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



79.0 114,391 77.3 94,616 88.9 19,775 61.9 4,401 89.1 2,941 27.7 21,407 (NA) (NA) 86.9 93.1 80.8 (NA) 88.6 (NA) 90.4 74.4 88.2 89.8 84.8 (NA) 73.9 (NA) 92.4 88.0 (NA) 77.9 67.0 (NA) (NA) 88.1 5,701 9,370 10,061 8,567 15,060 8,614 21,024 14,980 4,861 6,039 13,839 2,372 22,647 11,366 83,051 6,274 4,103 27,844 8,153 10,895 35,894 29,394 6,950 6,465



1,309 9,161 2,732 14,016 3,472 10,938 2,724 10,503 4,868 11,394 2,427 11,888 6,810 9,954 4,677 12,349 1,328 9,233 1,403 10,123 5,474 8,936 854 8,114 6,765 3,086 30,090 2,817 1,462 7,245 10,387 9,518 12,096 16,610 11,168 10,989



Syracuse, NY . . . . . . . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Terre Haute, IN . . . . . . . . . . . . . . . Texarkana, TX-Texarkana, AR . . . . . Toledo, OH . . . . . . . . . . . . . . . . . . Topeka, KS. . . . . . Trenton-Ewing, NJ . Tucson, AZ . . . . . . Tulsa, OK. . . . . . . Tuscaloosa, AL . . . Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



2,199 9,741 4,191 11,719 8,693 9,906 8,886 10,141 1,976 10,201 2,332 12,902



See footnotes at end of table.



178



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-10. Metropolitan Areas — Banking, Retail Trade, and Accommodation and Food Services—Con.

Banking,1 2004 Retail trade2 (NAICS 44–45), 2002 Sales Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Number of offices Utica-Rome, NY . . . . . . . . . . Valdosta, GA. . . . . . . . . . . . . Vallejo-Fairfield, CA . . . . . . . . Vero Beach, FL . . . . . . . . . . . Victoria, TX. . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87 37 62 58 28 47 355 64 46 26 1,455 361 1,094 64 50 55 34 77 230 44 49 110 53 127 226 58 143 204 23 22 Deposits (mil. dol.) 3,757 1,624 3,110 3,077 1,663 1,746 14,965 2,831 2,571 974 119,795 23,832 95,963 1,993 2,041 1,723 1,344 2,476 8,062 1,681 1,438 4,087 1,746 10,901 9,919 2,016 5,282 7,856 1,306 1,111 Percent General Per mercap- Change, chanita3 1997– dise (dol.) 2002 stores4 27.1 28.2 49.0 33.3 17.6 23.8 23.0 37.2 22.3 29.4 30.4 27.7 31.3 17.9 29.7 14.5 16.4 15.8 17.8 21.3 11.1 24.8 49.5 23.0 29.9 9.1 18.4 1.5 31.0 29.1 (NA) (NA) 17.4 17.4 (NA) 11.6 (NA) 18.7 19.1 18.9 (NA) (NA) 10.5 (NA) 17.9 (NA) 22.4 15.8 (NA) (NA) 15.7 (NA) (NA) (NA) 11.2 20.3 18.2 16.4 (NA) 22.3 Accommodation and food services2 (NAICS 72), 2002 Sales Percent



Establishments 1,136 655 1,124 667 462 553 6,089 1,059 818 428 16,539 3,732 12,807 715 528 487 495 677 2,237 609 553 1,535 516 1,809 2,710 800 1,413 2,537 424 457



Total (mil. dol.)



Paid employees5 14,637 7,329 17,882 8,504 5,638 7,008 84,281 13,275 10,919 6,100 255,349 59,672 195,677 10,602 10,582 5,593 5,329 8,931 29,928 8,036 7,396 18,211 7,396 23,862 38,350 9,397 21,490 32,863 5,288 6,516



Establishments 652 225 669 211 218 212 3,078 474 400 201 9,249 1,866 7,383 343 273 282 294 332 1,187 277 254 758 211 786 1,536 404 662 1,191 199 271



Total (mil. dol.) 278 188 434 140 113 104 2,548 259 293 150 10,052 1,603 8,449 177 128 101 153 177 738 185 118 462 151 576 940 203 410 665 111 174



Per capita3 (dol.) 932 1,554 1,059 1,185 1,001 705 (NA) 678 1,348 1,291 2,011 1,437 2,175 1,093 1,009 784 1,523 1,171 1,273 1,241 993 1,606 1,395 1,328 1,221 902 1,051 1,116 766 1,044



Change, 1997– 2002 25.8 (NA) 48.6 24.5 15.6 32.5 (NA) 11.3 32.7 46.8 (NA) 27.7 (NA) (NA) 21.7 (NA) 27.1 19.9 11.9 14.0 11.2 26.9 31.7 (NA) 31.2 13.4 28.5 16.1 46.0 33.4



Food Paid ser- employvices6 ees5 80.5 (NA) 89.6 91.3 (NA) 89.5 7,779 5,372 10,248 3,589 3,310 2,644



2,744 9,212 1,405 11,610 4,156 10,148 1,525 12,922 1,172 10,411 1,519 10,259 15,642 2,931 2,199 1,218 55,882 13,737 42,145 9,745 7,687 10,123 10,460 11,177 12,319 10,850



Virginia Beach-Norfolk-Newport News, VA-NC. . . . . Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV Bethesda-Gaithersburg-Frederick, MD . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV. Waterloo-Cedar Falls, IA . . . . Wausau, WI . . . . . . . . . . . . Weirton-Steubenville, WV-OH. Wenatchee, WA . . . . . . . . . Wheeling, WV-OH . . . . . . . . Wichita, KS. . . . . . . . . . . . . Wichita Falls, TX . . Williamsport, PA . . Wilmington, NC . . . Winchester, VA-WV Winston-Salem, NC Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(NA) 63,472 89.1 6,620 86.5 7,658 83.4 4,085 (NA) 189,351 80.7 33,425 (NA) 155,926 (NA) 85.9 (NA) 63.8 88.7 85.8 (NA) 87.2 82.6 75.9 86.0 87.6 85.2 88.4 91.4 87.9 72.1 5,959 4,328 3,047 3,524 5,214 20,773 5,154 3,392 12,830 3,710 15,412 22,414 4,878 11,437 20,016 3,027 4,618



1,829 11,280 1,844 14,530 949 7,338 1,028 10,229 1,540 10,195 5,792 9,990 1,547 1,277 3,815 1,650 5,166 8,093 1,900 3,848 5,861 1,115 1,337 10,382 10,744 13,266 15,237 11,921 10,517 8,463 9,873 9,838 7,714 8,021



Yakima, WA . . . . . . . . . . . . . York-Hanover, PA . . . . . . . . . Youngstown-Warren-Boardman, Yuba City, CA . . . . . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . . NA Not available.



...... ...... OH-PA . ...... ......



As of June 30. Covers all FDIC-insured commercial banks and savings institutions. Includes only establishments with payroll. Based on resident population estimated as of July 1, 2002. 4 Represents NAICS code 452. 5 For pay period including March 12. 6 Includes full-service restaurants, limited-service eating places, and special food services, and drinking places (alcoholic beverages). 7 The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield city is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 8 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA.

2 3



1



Note: Covers metropolitan statistical areas and metropolitan divisions and component counties defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . Survey, Census, or Data Collection Method: Banking—Based on surveys of every FDIC-insured bank and savings association as of June 30 each year conducted by the Federal Deposit Insurance Corporation (FDIC) and the Office of Thrift Supervision (OTS); for information, see Internet site ; Retail trade and accommodation and food services—Based on the economic census; for more information, see Appendix B, Limitations of the Data and Methodology, and also . Sources: Banking—U.S. Federal Deposit Insurance Corporation (FDIC) and Office of Thrift Supervision (OTS), 2004 Bank and Thrift Branch Office Data Book: Summary of Deposits, (accessed 5 April 2005); Retail trade—U.S. Census Bureau, 1997 and 2002 economic censuses, Geographic Area Series reports, (accessed 6 June 2005); Accommodation and food services—U.S. Census Bureau, 1997 and 2002 Geographic Area Series reports, (accessed 13 July 2005).



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



179



Table B-11. Metropolitan Areas — Government

Government Federal funds and grants Earnings 2003 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division ExpendPeritures cent total change, Per (mil. 2002– capita1 (dol.) dol.) 2003 Abilene, TX. . . . . . . . . . . . . Akron, OH . . . . . . . . . . . . . Albany, GA . . . . . . . . . . . . . Albany-Schenectady-Troy, NY Albuquerque, NM. . . . . . . . . Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,098.1 3,705.6 1,141.8 13,953.9 7,472.5 1,091.6 3,722.0 824.8 1,468.1 488.6 3,379.0 710.0 770.0 1,943.9 1,071.0 746.2 2,242.9 870.5 21,495.8 1,601.4 461.3 4,863.6 9,516.7 3,856.0 22,638.7 963.2 1,767.5 4,459.7 971.2 582.9 2,342.2 878.8 532.1 781.2 1,889.8 6,440.5 789.4 789.5 871.6 529.3 2,542.5 35,269.1 15,563.4 12,515.4 5,356.7 1,833.6 1,864.1 539.2 2,809.5 5,777.6 1,665.3 681.7 7,531.8 584.6 1,538.3 1,994.1 2,615.3 648.5 351.1 1,458.0 1,081.0 2,644.6 4,368.1 5,579.9 1,106.4 3,473.7 994.4 46,091.1 38,760.4 3,448.3 3,882.3 3.1 6,941 8.2 5,286 8.9 7,057 10.3 16,600 8.3 9,747 10.2 7,465 −1.8 5.3 −4.6 4.6 5.6 2.2 4.4 8.4 9.2 11.6 4.4 4.6 −7.4 −7.0 7.3 3.8 2.3 2.8 15.0 6.1 9.0 −0.6 5.7 7.7 7.9 7.0 7.4 0.8 11.7 8.0 1.5 −0.4 5.6 −12.3 1.9 9.3 7.5 7.7 20.3 6.0 7.6 −13.8 15.6 11.5 5.1 −1.9 7.5 6.1 15.5 7.1 5.9 6.1 10.4 3.7 −4.0 2.1 8.9 7.6 6.2 1.3 12.2 7.1 7.0 5.8 9.1 4,838 6,471 6,286 6,087 9,959 5,414 4,481 5,789 9,554 3,537 5,863 5,067 4,668 6,069 3,872 9,529 6,913 5,405 8,617 6,506 7,716 6,181 6,992 5,322 6,117 4,978 4,108 5,460 7,541 5,997 8,138 5,235 4,928 3,374 4,970 7,961 8,562 8,534 7,256 4,495 6,718 5,016 11,718 6,422 4,596 7,043 6,504 4,279 7,560 4,860 5,310 11,722 5,145 6,008 5,041 8,604 7,631 3,877 6,150 7,140 11,784 4,940 4,966 5,023 4,631 Percent for direct payments to individuals 52.5 62.4 47.6 25.5 33.1 54.4 74.6 69.4 46.4 40.4 21.1 75.5 74.3 39.6 54.4 63.6 68.4 48.9 47.5 57.7 61.8 35.5 31.3 50.2 42.0 56.0 69.3 50.3 55.9 71.9 63.1 56.3 74.8 58.0 48.4 63.3 40.0 58.6 55.2 65.9 49.5 42.7 42.6 38.0 47.2 61.8 34.0 61.9 32.0 48.5 50.5 57.3 59.2 74.8 33.8 73.0 86.1 35.7 59.5 48.0 48.9 54.2 45.7 62.8 50.6 53.5 32.2 57.0 56.6 69.3 49.6 2002 Employment 2002



2000 (mil. dol.) 942.4 2,970.1 926.0 8,589.9 5,729.3 818.6 3,147.7 718.6 1,866.4 362.6 2,443.6 608.8 631.7 1,558.7 919.5 552.1 1,864.0 681.8 18,732.6 1,361.5 365.6 4,140.7 6,731.6 3,562.6 18,779.0 795.9 1,503.2 3,438.3 800.1 476.9 2,035.9 811.9 412.1 671.0 1,669.3 5,277.7 689.4 626.7 766.6 435.5 2,037.6 28,586.7 12,861.9 10,117.6 4,135.3 1,471.9 1,499.2 446.0 2,366.8 4,483.6 1,354.5 593.5 6,472.4 481.3 1,134.7 1,676.7 2,167.5 489.6 317.2 1,474.9 955.2 2,113.3 3,622.7 4,616.3 875.3 3,049.3 774.2 39,192.9 32,949.3 2,866.6 3,377.1



Percent Perof cent Total total change, (mil. earn- 2000– dol.) ings 2002 812.0 2,208.2 617.8 5,785.6 3,734.9 640.0 1,732.4 372.7 759.2 788.2 2,543.9 296.6 459.1 3,019.1 560.4 488.9 1,041.8 1,011.2 14,820.8 1,208.8 554.5 2,547.3 6,666.9 3,227.4 14,899.1 603.1 729.5 2,846.7 581.4 291.0 1,100.3 562.7 340.8 412.4 943.7 3,526.2 440.6 754.1 835.9 555.9 1,638.4 16,283.5 8,384.4 4,872.1 1,979.1 1,047.9 1,353.4 343.1 2,557.3 2,642.0 1,041.0 409.3 4,335.3 243.5 857.9 902.3 1,257.1 526.5 226.2 650.6 1,529.1 1,244.0 3,062.7 4,237.5 1,386.5 1,675.8 762.8 31,018.2 25,917.5 1,609.7 3,491.0 19.5 31.7 26.2 14.5 20.5 22.8 44.4 34.2 30.8 10.2 13.3 44.2 37.4 11.1 20.0 43.2 36.7 17.0 31.1 21.8 21.5 20.0 20.6 22.1 17.6 24.5 31.4 25.3 23.9 37.6 34.8 31.4 38.0 34.7 26.6 30.5 22.0 20.0 21.2 28.2 31.2 27.2 21.7 30.1 37.3 38.9 20.5 31.3 9.4 34.1 34.8 23.6 26.7 56.1 23.7 45.5 39.2 10.5 30.2 37.3 14.0 24.7 18.7 34.0 13.0 29.0 11.1 30.1 30.1 42.7 24.0 12.9 14.3 4.9 9.3 16.4 18.1 9.9 5.6 8.7 5.6 11.6 6.0 8.2 14.4 14.3 8.3 5.3 12.2 14.5 15.4 4.4 9.4 18.5 13.8 13.9 11.4 8.8 12.0 4.3 1.5 7.8 26.4 7.3 6.1 5.9 7.4 12.4 8.6 3.0 9.1 15.3 5.8 1.4 11.8 7.8 13.7 13.4 8.7 16.7 9.6 13.2 11.3 4.6 9.1 14.2 13.1 10.4 12.6 10.5 9.1 13.1 9.0 10.6 11.7 13.2 11.3 18.0 7.9 8.5 3.0 5.5



2000 (mil. dol.) 719.4 1,932.1 589.1 5,292.0 3,207.8 542.1 1,576.7 353.0 698.4 746.5 2,279.8 279.9 424.2 2,639.5 490.3 451.2 989.6 901.3 12,949.0 1,047.8 530.9 2,329.1 5,626.5 2,835.7 13,076.0 541.2 670.8 2,541.7 557.3 286.6 1,020.7 445.0 317.6 388.8 891.2 3,282.0 391.9 694.5 811.5 509.4 1,420.9 15,386.4 8,272.2 4,356.6 1,835.7 921.9 1,193.0 315.5 2,190.6 2,409.8 919.3 367.8 4,146.6 223.1 751.0 797.8 1,138.4 467.4 204.8 596.5 1,352.1 1,141.1 2,770.2 3,792.4 1,224.7 1,506.0 646.7 28,759.7 23,889.3 1,562.1 3,308.2



Percent Perof cent total change, employ- 2000– Total ment 2002 18,472 50,706 14,594 110,085 78,896 15,939 40,775 9,461 18,530 19,266 43,589 7,274 12,086 69,189 12,158 11,926 25,901 22,272 307,015 21,714 13,717 54,590 147,014 59,797 265,668 14,935 14,959 76,670 11,547 6,941 27,319 14,203 7,358 9,770 23,121 80,275 11,384 19,195 22,557 14,469 39,414 313,789 154,572 90,061 42,391 26,765 28,085 9,721 41,053 48,456 26,768 8,894 91,304 6,595 18,815 22,118 27,764 10,420 5,611 16,240 35,004 28,725 65,694 98,203 29,867 37,598 15,867 607,761 495,451 41,658 70,652 2.3 2.3 2.4 1.9 2.1 2.5 2.4 2.5 2.4 2.4 1.7 2.5 2.6 2.3 2.2 2.4 2.5 2.2 2.1 1.8 2.5 2.1 2.2 1.9 1.8 2.5 2.1 2.7 2.0 2.4 2.5 2.5 2.2 2.4 2.5 2.3 2.6 2.5 2.7 2.6 2.4 1.9 1.8 1.8 2.1 2.6 2.1 2.8 1.6 1.8 2.6 2.2 2.1 2.7 2.2 2.5 2.2 2.0 2.5 2.5 2.3 2.3 2.1 2.3 2.2 2.2 2.1 2.0 1.9 2.6 2.0 −0.2 3.5 −5.8 0.9 3.7 2.4 2.6 1.9 0.6 −3.0 3.7 −0.3 −1.3 3.3 0.2 1.5 −0.4 2.3 4.8 6.1 −7.4 −0.8 5.1 4.3 1.4 −0.8 −1.1 −0.5 −2.4 −3.2 −1.6 8.9 −5.0 1.5 3.1 −1.0 2.2 −1.0 −2.9 1.0 4.3 −1.0 −4.4 2.5 2.3 3.1 0.8 3.9 4.7 3.2 2.4 0.1 0.8 −2.4 2.8 2.3 1.1 4.4 −3.0 −0.1 0.7 −0.5 0.3 3.4 4.3 6.0 0.9 0.9 1.4 −0.9 −1.4



2000 18,504 49,013 15,485 109,153 76,077 15,573 39,745 9,284 18,428 19,871 42,052 7,296 12,248 66,956 12,130 11,753 26,005 21,762 292,993 20,473 14,808 55,022 139,840 57,331 261,896 15,053 15,130 77,057 11,837 7,173 27,753 13,048 7,747 9,622 22,421 81,109 11,141 19,395 23,227 14,323 37,793 316,954 161,674 87,886 41,431 25,963 27,873 9,360 39,194 46,974 26,150 8,886 90,567 6,754 18,309 21,619 27,474 9,982 5,782 16,249 34,760 28,863 65,520 94,993 28,636 35,477 15,730 602,434 488,714 42,048 71,672



Allentown-Bethlehem-Easton, PA-NJ . Altoona, PA . . . . . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . . Anderson, IN . . . . . . . . . . . . . . . . Anderson, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . Anniston-Oxford, AL . . . . . Appleton, WI . . . . . . . . . . Asheville, NC . . . . . . . . . Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Atlanta-Sandy Springs-Marietta, GA Atlantic City, NJ . . . . . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . Augusta-Richmond County, GA-SC . Austin-Round Rock, TX. . . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Baltimore-Towson, MD Bangor, ME . . . . . . . Barnstable Town, MA . Baton Rouge, LA . . . . Battle Creek, MI . . . . Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Beaumont-Port Arthur, TX Bellingham, WA. . . . . . . Bend, OR . . . . . . . . . . . Billings, MT. . . . . . . . . . Binghamton, NY . . . . . . Birmingham-Hoover, AL .



Bismarck, ND . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA Bloomington, IN. . . . . . . . . . . . . . . . Bloomington-Normal, IL. . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . .



Boston-Cambridge-Quincy, MA-NH . . . . . Boston-Quincy, MA . . . . . . . . . . . . . . . . Cambridge-Newton-Framingham, MA . . . . Essex County, MA . . . . . . . . . . . . . . . . Rockingham County-Strafford County, NH. Boulder, CO2 . . . . . . . . . . . . . . . . . . . . . Bowling Green, KY. . . . . . . . . . Bremerton-Silverdale, WA . . . . . Bridgeport-Stamford-Norwalk, CT Brownsville-Harlingen, TX . . . . . Brunswick, GA . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . . Burlington, NC. . . . . . . . . . . . Burlington-South Burlington, VT Canton-Massillon, OH. . . . . . . Cape Coral-Fort Myers, FL . . . Carson City, NV. . . . . . . . . . . Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Cedar Rapids, IA . . . . . . . . . . . . . . Champaign-Urbana, IL . . . . . . . . . . Charleston, WV . . . . . . . . . . . . . . . Charleston-North Charleston, SC . . . Charlotte-Gastonia-Concord, NC-SC . Charlottesville, VA . . . . . . . . . . . . .



Chattanooga, TN-GA . . . . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI . . Chicago-Naperville-Joliet, IL . . . . . . Gary, IN . . . . . . . . . . . . . . . . . . . Lake County-Kenosha County, IL-WI See footnotes at end of table.



180



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-11. Metropolitan Areas — Government—Con.

Government Federal funds and grants Earnings 2003 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division ExpendPeritures cent total change, Per (mil. 2002– capita1 (dol.) dol.) 2003 Chico, CA. . . . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN Clarksville, TN-KY . . . . . . . . . . Cleveland, TN . . . . . . . . . . . . . Cleveland-Elyria-Mentor, OH . . . Coeur d’Alene, ID . . . . . . . . . . College Station-Bryan, TX . Colorado Springs, CO. . . . Columbia, MO . . . . . . . . . Columbia, SC . . . . . . . . . Columbus, GA-AL . . . . . . Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,190.7 11,587.1 2,494.5 493.8 12,708.0 607.8 2,029.2 5,294.3 769.9 4,843.8 2,562.4 369.7 10,399.2 2,722.5 393.4 713.2 32,528.1 16,046.8 16,481.3 436.0 529.3 611.4 2,115.3 6,883.7 742.6 599.4 2,878.3 12,713.9 2,986.2 24,589.7 13,268.4 11,321.3 879.3 1,158.7 438.3 1,785.9 3,391.3 701.9 765.9 1,013.4 594.4 539.2 4,317.6 1,512.9 1,741.0 1,888.2 1,142.2 901.8 575.5 4,296.1 1,396.1 799.3 2,292.2 1,120.2 940.5 423.8 1,088.2 1,482.5 2,939.9 1,978.8 4,074.2 627.0 1,419.8 565.8 636.3 903.9 796.2 641.2 2,935.8 768.2 651.9 1,141.8 3,184.2 723.9 3.7 5,639 9.4 5,661 12.6 10,559 6.4 4,647 6.2 5,937 −3.7 5,168 133.0 10,791 9.5 9,296 5.2 5,128 3.3 7,218 9.2 9,231 8.0 5,111 3.1 8.8 9.3 10.3 30.5 5.5 69.5 2.2 −2.6 2.0 0.3 6.3 −0.9 −2.7 8.2 5.9 −4.7 4.6 4.1 5.2 16.5 10.6 2.0 6.8 8.7 7.1 3.5 6.0 4.9 3.5 12.0 8.0 6,201 6,702 4,967 7,063 5,823 4,294 8,915 3,422 6,386 5,621 5,642 8,141 5,039 5,384 6,155 5,523 5,930 5,480 6,539 4,606 6,581 8,609 4,843 6,463 7,613 4,639 5,143 9,293 3,145 5,973 6,145 5,345 Percent for direct payments to individuals 70.8 52.4 31.3 74.2 62.0 61.7 21.0 34.1 53.1 45.6 43.5 59.1 42.9 50.1 50.5 69.1 36.0 46.3 25.9 73.2 65.7 66.6 63.4 44.7 67.7 72.0 78.0 42.2 49.1 62.3 59.5 65.5 61.0 41.2 67.6 60.0 34.2 63.5 50.6 42.9 75.7 63.7 46.3 66.8 64.0 64.2 14.8 49.2 49.8 27.4 72.6 42.0 71.3 61.1 67.0 71.0 54.3 68.2 31.7 55.3 50.5 76.8 50.6 64.4 67.4 46.6 33.3 67.5 65.4 42.3 61.3 63.4 62.1 60.6 2002 Employment 2002



2000 (mil. dol.) 997.1 9,717.8 1,950.7 397.3 10,697.9 428.8 753.4 4,023.3 662.5 3,950.0 2,141.1 282.4 8,153.0 2,312.9 319.9 665.2 22,214.4 12,827.4 9,387.0 370.2 460.1 501.8 1,864.0 6,038.0 661.3 526.5 2,332.3 11,190.0 2,414.4 20,612.1 11,467.2 9,144.9 670.2 904.3 355.3 1,449.1 2,555.9 556.2 648.1 968.5 497.0 462.3 3,368.2 1,268.2 1,404.0 1,584.6 915.8 773.6 466.8 3,449.8 1,168.3 635.7 1,941.7 890.6 792.3 356.6 844.6 1,203.0 2,143.5 1,657.0 3,411.7 520.1 1,169.8 430.4 522.6 763.3 704.9 543.6 2,547.5 661.3 528.4 995.3 2,635.0 605.8



Percent Perof cent Total total change, (mil. earn- 2000– dol.) ings 2002 663.4 6,124.9 2,158.2 220.6 7,490.4 337.1 1,156.0 3,680.9 1,216.1 3,732.8 1,896.3 223.8 7,304.6 1,755.3 493.6 349.4 15,902.8 10,979.3 4,923.5 275.7 290.9 243.8 1,333.1 4,089.1 348.2 249.3 930.3 8,975.2 1,873.2 12,634.5 6,639.0 5,995.6 376.7 1,005.7 160.4 1,167.1 2,558.1 486.6 782.0 1,030.7 326.1 344.0 3,082.5 738.1 1,143.4 717.1 1,021.5 634.4 428.5 4,305.4 898.0 696.0 1,187.0 641.9 536.3 240.1 1,165.0 619.1 1,851.3 921.7 3,160.6 205.2 1,763.3 351.6 427.8 644.1 635.8 374.1 1,787.6 461.0 474.2 848.3 1,749.0 878.2 31.8 33.4 10.9 48.2 28.6 34.9 16.3 15.5 12.3 18.0 14.6 32.3 23.0 23.1 16.0 28.9 35.1 34.0 37.5 46.2 28.5 44.6 28.1 20.7 42.3 44.7 50.3 25.6 26.9 35.5 30.6 41.0 35.5 13.4 56.4 23.7 17.4 31.1 19.0 10.6 58.0 26.2 22.8 38.3 28.9 48.3 8.3 28.2 28.6 8.0 42.1 17.4 37.3 30.6 26.4 40.9 22.9 45.2 9.6 43.4 26.9 50.3 13.5 44.5 29.7 17.6 15.1 33.4 42.7 17.3 44.7 34.4 37.9 18.1 10.9 12.5 13.1 6.5 11.1 14.5 12.1 16.1 6.9 1.5 12.1 9.3 12.4 8.1 19.4 11.9 15.2 16.1 13.2 13.8 5.8 9.6 7.5 9.6 8.2 2.7 7.4 14.3 9.2 6.8 4.3 9.6 12.3 15.9 8.3 8.5 11.7 6.2 20.3 2.1 7.3 9.5 12.0 6.7 10.3 3.6 15.2 9.7 11.9 14.7 12.5 11.9 2.3 7.9 5.1 8.5 17.3 8.6 18.8 6.0 16.7 3.4 8.8 17.2 7.2 9.4 12.9 11.1 5.6 11.9 16.5 8.8 6.5 8.0



2000 (mil. dol.) 598.0 5,445.5 1,908.4 207.1 6,740.9 294.4 1,030.9 3,169.6 1,137.3 3,678.5 1,691.8 204.7 6,495.9 1,623.9 413.3 312.2 13,809.5 9,458.7 4,350.8 242.2 275.0 222.5 1,239.9 3,729.4 321.8 242.7 866.1 7,852.1 1,715.4 11,832.8 6,362.2 5,470.6 335.3 867.8 148.1 1,075.9 2,289.4 458.4 650.1 1,009.8 304.0 314.1 2,751.1 692.0 1,036.4 692.0 886.9 578.2 382.8 3,753.4 798.4 622.3 1,160.1 594.9 510.4 221.3 992.9 570.2 1,558.9 869.6 2,708.1 198.4 1,620.8 299.9 399.1 588.6 563.0 336.8 1,692.3 411.8 406.8 779.5 1,643.0 813.2



Percent Perof cent total change, employ- 2000– Total ment 2002 15,883 136,489 43,519 6,209 150,166 8,885 31,731 70,653 31,282 89,610 42,827 5,600 160,513 38,180 12,399 8,114 345,513 236,357 109,156 7,322 6,423 6,795 28,609 73,124 9,635 6,869 22,226 176,309 40,834 251,742 129,961 121,781 10,552 20,575 4,342 27,753 52,486 12,088 16,230 21,240 8,279 7,390 69,152 17,630 26,634 18,554 19,035 16,201 11,604 80,905 23,870 16,168 26,547 16,936 12,832 6,154 25,872 16,799 30,599 22,372 66,651 5,771 44,524 9,112 10,350 14,419 15,540 8,447 38,624 9,367 13,125 20,442 42,257 20,297 2.4 2.2 2.0 2.8 2.0 2.6 2.7 1.9 2.6 2.4 2.3 2.5 2.2 2.2 2.5 2.3 2.2 2.2 2.2 2.7 2.2 2.8 2.1 1.8 2.8 2.8 2.4 2.0 2.2 2.0 2.0 2.0 2.8 2.0 2.7 2.4 2.1 2.5 2.1 2.1 2.5 2.1 2.2 2.4 2.3 2.6 1.9 2.6 2.7 1.9 2.7 2.3 2.2 2.6 2.4 2.6 2.2 2.7 1.7 2.4 2.1 2.8 2.5 2.6 2.4 2.2 2.4 2.3 2.2 2.0 2.8 2.4 2.4 2.3 −2.8 3.4 1.6 −1.0 1.5 2.8 3.5 3.5 −2.1 −6.8 2.3 −0.1 2.7 −1.4 11.5 −1.1 4.4 5.3 2.3 4.5 −1.0 3.1 −0.6 0.7 0.6 −4.0 0.1 4.5 0.4 −0.2 −2.6 2.5 2.5 1.4 0.1 −3.2 2.4 −0.6 9.4 −7.2 3.6 −5.1 1.9 0.8 −2.0 −1.0 6.0 −0.9 4.4 3.4 3.7 2.8 −2.2 −0.7 −3.0 0.1 2.9 1.3 5.1 −0.1 5.3 −4.5 3.1 7.0 1.1 −0.1 1.1 −0.3 0.2 0.7 4.4 1.0 −1.7 2.3



2000 16,341 132,033 42,815 6,273 147,984 8,645 30,652 68,251 31,940 96,103 41,877 5,603 156,251 38,734 11,122 8,204 331,051 224,358 106,693 7,009 6,491 6,591 28,787 72,643 9,578 7,157 22,200 168,656 40,685 252,278 133,433 118,845 10,297 20,295 4,336 28,682 51,246 12,166 14,841 22,893 7,989 7,784 67,870 17,494 27,174 18,746 17,951 16,352 11,114 78,211 23,017 15,727 27,149 17,048 13,231 6,145 25,154 16,576 29,101 22,385 63,286 6,043 43,177 8,514 10,241 14,434 15,377 8,476 38,532 9,305 12,569 20,235 42,987 19,842



Columbus, OH . . . . . . . . . . Corpus Christi, TX . . . . . . . . Corvallis, OR . . . . . . . . . . . Cumberland, MD-WV . . . . . . Dallas-Fort Worth-Arlington, Dallas-Plano-Irving, TX . . . Fort Worth-Arlington, TX . .



... ... ... ... TX . ... ...



Dalton, GA . . . . . . . . . . . . . . . . . Danville, IL . . . . . . . . . . . . . . . . . Danville, VA . . . . . . . . . . . . . . . . Davenport-Moline-Rock Island, IA-IL Dayton, OH . . . . . . . . . . . . . . . . Decatur, AL . . . . . . . . . . . . . . . .



Decatur, IL . . . . . . . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, FL Denver-Aurora, CO2 . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . . . . . . . . . . . Detroit-Warren-Livonia, MI. . . . . . . . . . . Detroit-Livonia-Dearborn, MI . . . . . . . . . Warren-Farmington Hills-Troy, MI. . . . . . Dothan, AL . . . Dover, DE . . . Dubuque, IA . . Duluth, MN-WI Durham, NC . . Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



El Centro, CA . . . . Elizabethtown, KY . Elkhart-Goshen, IN. Elmira, NY . . . . . . El Paso, TX . . . . . Erie, PA . . . . . . . .



Eugene-Springfield, OR Evansville, IN-KY . . . . . Fairbanks, AK . . . . . . . Fargo, ND-MN. . . . . . . Farmington, NM. . . . . . Fayetteville, NC . . . . . .



7.9 5,273 4.1 5,448 −1.2 13,403 −3.2 5,040 −0.9 4,699 10.8 12,461 5.1 5.0 4.1 6.5 4.3 7.1 3,689 6,596 5,178 5,703 6,633 4,317



Fayetteville-Springdale-Rogers, AR-MO . Flagstaff, AZ . . . . . . . . . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Florence, SC. . . . . . . . . . . . . . . . . . . Florence-Muscle Shoals, AL. . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Fort Wayne, IN . . . . . . . . . . . . . . . . . Fresno, CA . . . . . . . . . . . . . . . . . . . . Gadsden, AL. . . . . . . . . . . . . . . . . . . Gainesville, FL . . . . Gainesville, GA . . . . Glens Falls, NY . . . . Goldsboro, NC . . . . Grand Forks, ND-MN Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



10.6 4,082 3.9 5,297 13.4 16,532 −1.6 4,945 7.9 4,789 6.0 6,081 1.4 4.2 8.4 3.5 −2.3 6.0 0.4 6.9 2.8 −2.4 7.4 1.8 5,982 3,619 5,016 7,971 8,315 5,140 3,849 9,629 3,077 3,912 4,809 4,566



Grand Rapids-Wyoming, MI . Great Falls, MT . . . . . . . . . Greeley, CO2 . . . . . . . . . . Green Bay, WI . . . . . . . . . Greensboro-High Point, NC . Greenville, NC. . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



181



Table B-11. Metropolitan Areas — Government—Con.

Government Federal funds and grants Earnings 2003 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division ExpendPeritures cent total change, Per (mil. 2002– capita1 (dol.) dol.) 2003 Greenville, SC. . . . . . . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . . Hagerstown-Martinsburg, MD-WV . Hanford-Corcoran, CA . . . . . . . . Harrisburg-Carlisle, PA . . . . . . . . Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,791.5 2,462.4 1,326.1 776.8 5,971.9 398.7 10,751.0 663.5 1,505.3 339.7 801.3 9,056.3 628.3 978.7 24,184.0 1,981.8 7,123.9 1,421.0 9,500.1 746.2 607.2 722.6 3,792.0 577.7 8,596.7 2,079.2 745.5 1,792.9 1,720.2 1,203.8 623.1 951.7 1,435.2 522.8 11,732.3 3,225.0 3,881.6 1,775.8 863.2 6,523.6 485.1 629.7 743.1 1,030.2 1,075.7 2,549.2 1,972.5 4,230.9 896.2 1,241.1 7,170.4 398.2 1,286.5 746.9 373.5 597.3 2,271.1 711.3 1,705.6 4,694.0 407.1 992.1 487.3 68,977.7 56,540.1 12,437.5 8,223.1 1,283.8 1,766.2 1,420.3 522.3 3,794.9 16.5 6.5 12.7 8.1 0.3 15.6 4,828 9,863 5,573 5,600 11,546 3,607 Percent for direct payments to individuals 61.4 42.8 60.2 37.1 39.1 77.3 37.5 65.9 68.8 49.5 68.3 34.1 80.6 64.0 43.8 64.6 18.0 19.1 50.9 38.0 38.9 73.0 45.0 63.6 48.4 21.8 61.1 33.3 42.7 63.6 58.8 58.4 65.0 71.8 50.9 15.6 27.7 69.7 65.5 36.2 75.5 58.7 57.5 62.6 60.6 77.8 72.0 40.0 44.5 42.5 59.4 52.8 35.5 59.3 63.8 64.7 53.1 72.2 43.8 47.2 50.9 74.7 69.4 46.1 43.7 56.7 47.1 63.6 48.6 62.3 66.4 36.3 2002 Employment 2002



2000 (mil. dol.) 2,131.8 2,100.8 1,150.2 677.0 4,659.7 308.4 6,343.7 557.3 1,115.2 247.9 684.7 7,249.7 537.7 763.9 19,689.3 1,666.1 5,019.9 1,276.3 7,520.6 645.7 513.3 617.4 3,091.9 481.5 6,603.9 1,592.6 582.1 1,308.6 1,002.0 1,061.8 532.5 963.8 1,225.3 469.3 9,272.1 2,250.4 3,093.5 1,404.7 705.3 5,239.8 415.6 479.8 652.9 843.6 748.7 2,037.4 1,677.2 3,316.7 721.9 1,001.6 5,311.4 312.8 1,166.4 575.8 314.5 507.0 2,222.0 596.9 1,362.8 3,512.1 302.6 854.0 420.9 56,535.0 46,940.7 9,594.3 5,445.9 1,315.9 1,291.9 1,143.1 436.8 2,952.1



Percent Perof cent Total total change, (mil. earn- 2000– dol.) ings 2002 1,712.8 1,771.0 793.7 880.4 3,362.7 333.7 5,404.1 532.3 851.8 1,131.8 625.1 7,676.5 190.5 463.1 14,936.3 831.1 2,606.3 275.3 5,363.5 1,432.1 273.2 481.9 2,211.8 460.1 5,031.0 2,391.9 380.0 1,081.6 579.4 427.7 290.3 312.2 1,020.6 270.0 7,322.2 774.7 3,599.8 593.0 647.0 2,195.0 285.3 412.5 926.9 611.9 517.1 1,225.7 905.7 2,950.8 715.9 829.2 4,713.6 555.9 1,208.3 330.6 193.6 234.2 1,865.6 336.2 1,435.7 3,200.9 374.3 407.5 248.0 42,396.7 34,084.3 8,312.4 3,370.4 1,062.5 520.1 621.0 345.5 3,662.8 33.8 14.1 30.0 15.8 15.4 33.1 21.8 24.1 41.2 6.2 39.9 11.6 47.9 42.7 34.0 34.5 13.7 39.0 29.8 9.5 36.4 33.7 23.1 23.8 23.8 6.3 40.8 13.2 32.1 35.0 37.9 52.0 31.3 39.4 26.0 27.1 9.6 50.6 28.0 29.2 35.5 31.2 19.5 39.9 37.5 41.7 53.3 15.4 29.7 22.0 33.4 18.4 9.1 37.2 30.1 45.3 22.6 31.9 19.3 19.7 29.0 48.8 38.4 30.2 28.9 35.6 35.3 24.2 44.5 36.5 38.7 14.3 11.5 12.2 9.8 23.2 10.1 6.9 10.0 6.5 3.6 11.6 11.6 15.1 14.8 7.2 12.7 4.5 12.0 9.2 8.5 9.6 7.5 9.0 5.2 9.2 11.9 14.8 5.9 6.7 8.2 5.2 8.5 9.1 9.3 7.2 10.7 14.9 13.3 6.3 5.0 10.5 7.7 6.5 9.1 11.2 11.5 19.3 9.7 6.8 16.7 13.0 15.7 12.2 9.4 8.6 5.7 14.1 9.5 9.3 15.2 12.2 13.9 7.8 12.2 13.9 13.4 15.9 8.3 9.2 5.6 10.7 9.9 10.8



2000 (mil. dol.) 1,536.4 1,578.5 722.7 714.3 3,053.9 312.1 4,910.6 499.8 822.2 1,014.5 560.2 6,669.1 165.9 432.1 13,257.6 795.4 2,327.2 252.2 4,942.5 1,306.8 254.2 442.0 2,102.2 421.2 4,496.5 2,084.1 358.9 1,014.0 535.6 406.7 267.6 286.2 933.5 251.9 6,611.8 674.1 3,178.4 557.7 616.0 1,985.7 264.9 387.5 849.4 550.3 463.7 1,027.8 826.0 2,762.3 613.5 734.0 4,075.1 495.5 1,104.8 304.4 183.1 205.3 1,703.0 307.7 1,246.5 2,854.0 328.6 378.0 221.0 37,220.9 30,049.4 7,171.5 3,110.9 972.9 492.5 560.9 314.5 3,305.2



Percent Perof cent total change, employ- 2000– Total ment 2002 41,615 36,027 16,033 18,065 67,027 9,386 98,316 15,808 23,596 22,302 14,719 143,976 4,913 14,967 335,546 19,835 43,377 6,888 117,320 30,790 6,532 10,744 58,767 12,263 94,797 52,243 9,349 28,125 15,387 10,416 8,368 9,613 23,549 6,619 156,844 15,676 73,851 16,502 14,704 54,175 7,792 10,889 22,972 15,420 15,135 28,355 21,534 60,840 17,448 20,255 85,978 16,402 25,623 7,416 5,332 6,083 42,567 7,947 33,139 70,602 10,710 11,905 5,983 793,551 630,333 163,218 76,856 24,604 14,870 15,752 8,310 78,701 2.4 2.0 2.0 2.1 2.0 2.8 1.8 3.0 2.8 2.0 2.4 1.9 2.6 3.2 2.2 2.4 1.7 2.5 2.2 2.1 2.4 2.2 2.7 2.7 1.9 2.2 2.5 2.6 2.7 2.4 2.9 3.1 2.3 2.5 2.1 2.0 2.1 2.8 2.3 2.5 2.7 2.6 2.5 2.5 2.9 2.3 2.4 2.1 2.4 2.4 1.8 3.0 2.1 2.2 2.8 2.6 2.3 2.4 2.3 2.2 2.9 2.9 2.4 1.9 1.8 2.0 2.3 2.3 2.9 2.5 2.4 2.1 2.3 1.3 −0.8 11.6 2.4 2.3 1.8 2.3 −1.8 0.7 4.4 2.8 5.3 −1.1 2.9 −5.0 0.9 −0.2 2.1 1.8 −0.7 2.3 −0.3 2.7 3.5 7.2 0.2 2.8 1.4 −1.9 0.9 2.0 −5.0 −0.5 1.6 5.3 3.1 −0.6 1.9 4.4 −0.5 −0.2 0.7 −3.2 −0.9 −0.6 4.2 0.0 7.7 6.1 8.7 0.5 −0.1 1.6 −3.4 2.6 −2.0 −0.6 2.3 2.8 4.6 1.9 2.8 3.5 3.6 3.0 −4.8 1.2 0.2 2.6 5.0 1.4



2000 40,687 35,559 16,164 16,185 65,484 9,175 96,602 15,458 24,019 22,148 14,095 140,028 4,664 15,134 326,211 20,882 42,984 6,900 114,941 30,241 6,577 10,503 58,938 11,945 91,549 48,744 9,330 27,353 15,173 10,620 8,291 9,422 24,784 6,654 154,436 14,892 71,633 16,594 14,427 51,901 7,832 10,912 22,802 15,933 15,277 28,515 20,660 60,822 16,194 19,087 79,105 16,315 25,641 7,299 5,521 5,931 43,442 7,998 32,395 68,696 10,236 11,684 5,820 766,709 608,253 158,456 80,769 24,323 14,835 15,357 7,918 77,629



Hartford-West Hartford-East Hartford, CT . Hattiesburg, MS. . . . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . . Holland-Grand Haven, MI . . . . . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . . . . . Hot Springs, AR. . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA Houston-Sugar Land-Baytown, TX . Huntington-Ashland, WV-KY-OH . . . Huntsville, AL . . . . . . . . . . . . . . . Idaho Falls, ID. . . . . . . . . . . . . . . Indianapolis, IN . Iowa City, IA . . . Ithaca, NY . . . . Jackson, MI . . . Jackson, MS . . . Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



17.0 9,112 (Z) 5,171 14.4 4,293 12.6 4,815 5.2 3,211 8.7 10,137 6.1 6,890 13.2 4,954 14.1 4,767 7.0 6,906 11.5 19,921 12.5 13,223 6.7 −2.7 2.2 2.6 2.4 5.1 5,935 5,482 6,108 4,446 7,431 5,278



Jacksonville, FL. . . Jacksonville, NC . . Janesville, WI . . . . Jefferson City, MO . Johnson City, TN . . Johnstown, PA . . .



17.8 7,180 19.0 13,720 4.6 4,811 −0.9 12,524 53.1 9,236 5.6 8,047 −8.6 5,658 1.5 5,865 2.8 4,488 −0.2 4,920 6.8 6,155 4.7 15,342 13.5 11,285 −1.3 5,918 7.1 4,758 8.4 10,183 −1.3 4,788 13.5 4,900 −4.5 4.4 13.1 9.7 4.2 −4.7 7.2 4.3 10.8 6.7 3.0 9.7 −2.1 9.0 11.2 5.6 0.8 10.2 7.9 6.2 1.8 8.1 6.9 14.4 12.0 7.8 33.7 7.5 4.4 0.1 4,105 4,221 5,548 4,990 4,083 9,315 4,213 6,799 4,552 3,903 11,664 6,070 6,409 5,628 5,396 6,641 6,167 7,459 3,756 4,990 5,121 5,380 5,734 4,202 6,909 5,000 7,635 6,266 3,907 7,227



Jonesboro, AR . . . . . . . . . . . . Joplin, MO . . . . . . . . . . . . . . . Kalamazoo-Portage, MI . . . . . . Kankakee-Bradley, IL . . . . . . . . Kansas City, MO-KS. . . . . . . . . Kennewick-Richland-Pasco, WA . Killeen-Temple-Fort Hood, TX . Kingsport-Bristol-Bristol, TN-VA Kingston, NY. . . . . . . . . . . . . Knoxville, TN . . . . . . . . . . . . Kokomo, IN . . . . . . . . . . . . . La Crosse, WI-MN . . . . . . . . . Lafayette, IN . . . . . . . . . Lafayette, LA . . . . . . . . Lake Charles, LA . . . . . . Lakeland, FL. . . . . . . . . Lancaster, PA . . . . . . . . Lansing-East Lansing, MI Laredo, TX . . . . . . . . . . Las Cruces, NM . . . . . . Las Vegas-Paradise, NV . Lawrence, KS . . . . . . . . Lawton, OK . . . . . . . . . Lebanon, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Lewiston, ID-WA . . . . . . . . . . . Lewiston-Auburn, ME . . . . . . . . Lexington-Fayette, KY . . . . . . . Lima, OH . . . . . . . . . . . . . . . . Lincoln, NE. . . . . . . . . . . . . . . Little Rock-North Little Rock, AR.



Logan, UT-ID . . . . . . . . . . . . . . . . . . . . Longview, TX . . . . . . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Los Angeles-Long Beach-Glendale, CA . Santa Ana-Anaheim-Irvine, CA . . . . . . . Louisville, KY-IN Lubbock, TX . . . Lynchburg, VA. . Macon, GA . . . . Madera, CA . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



182



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-11. Metropolitan Areas — Government—Con.

Government Federal funds and grants Earnings 2003 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division ExpendPeritures cent total change, Per (mil. 2002– capita1 (dol.) dol.) 2003 Manchester-Nashua, NH . . . . Mansfield, OH . . . . . . . . . . . McAllen-Edinburg-Mission, TX Medford, OR . . . . . . . . . . . . Memphis, TN-MS-AR . . . . . . Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,137.2 635.3 2,608.3 1,013.2 8,480.1 964.5 29,054.8 8,104.9 14,036.7 6,913.2 494.0 427.6 7,963.1 14,802.0 540.5 2,320.3 2,046.9 897.7 574.9 3,741.8 783.9 666.5 539.0 596.1 877.4 1,023.4 702.1 1,224.6 7,838.1 5,199.6 9,928.6 112,902.7 12,349.9 16,001.4 11,184.6 73,366.8 876.4 3,993.7 1,647.3 688.1 500.9 3,912.2 8,762.5 2,283.3 4,535.7 9,792.0 1,239.0 555.0 4,065.6 5,545.5 1,324.0 1,058.9 2,146.5 3,501.6 1,916.7 38,985.6 7,746.7 27,814.7 3,424.1 20,089.6 951.4 18,584.8 1,087.9 403.2 3,818.9 9,441.4 2,078.3 3,387.8 980.9 10,817.7 1,063.9 930.9 2.3 3.4 10.8 5.7 14.8 8.2 8.9 5.9 18.1 −3.2 1.1 4.6 6.5 4.6 8.5 3.8 8.3 6.0 5,409 4,954 4,105 5,322 6,845 4,168 5,505 4,688 6,008 5,702 4,501 3,597 5,261 4,798 5,486 5,801 4,169 5,258 Percent for direct payments to individuals 49.6 68.6 48.7 68.5 44.4 58.7 68.9 79.2 56.8 81.5 74.8 75.2 59.8 48.9 50.7 67.2 62.7 65.6 76.8 40.8 46.8 71.5 72.2 68.2 66.4 70.8 72.2 86.2 51.4 58.4 49.0 54.3 62.1 62.1 58.7 50.6 69.5 23.5 85.4 74.6 73.2 32.1 43.8 38.3 51.8 59.3 35.8 70.4 50.9 45.9 54.3 62.2 25.1 54.8 65.1 55.2 53.1 54.9 62.5 49.3 42.4 62.0 53.5 61.2 43.8 56.2 86.5 55.5 79.8 53.3 62.9 65.4 2002 Employment 2002



2000 (mil. dol.) 1,769.1 533.7 1,940.3 851.8 6,731.6 815.8 25,359.5 6,803.2 11,639.0 6,917.2 419.3 353.5 6,783.3 12,495.1 451.1 2,016.9 1,650.5 748.4 471.3 3,084.4 762.9 534.8 451.9 489.8 742.1 848.7 563.3 996.0 6,257.1 4,365.2 8,867.1 95,044.1 10,080.0 13,398.1 9,653.3 61,912.8 752.7 2,422.2 1,393.8 589.4 405.7 2,743.0 7,283.5 1,645.1 3,824.5 8,118.7 966.1 453.0 3,328.3 4,311.9 1,257.0 892.7 1,487.3 2,793.7 1,697.1 32,417.5 6,334.4 23,314.9 2,768.2 14,468.1 767.0 16,121.0 862.8 343.4 3,015.1 7,751.4 1,700.5 2,719.1 760.5 9,377.4 832.2 773.2



Percent Perof cent Total total change, (mil. earn- 2000– dol.) ings 2002 1,028.1 418.5 1,652.6 525.8 4,489.9 596.7 15,844.9 4,755.7 8,193.3 2,895.9 304.0 343.5 4,647.9 11,592.9 401.0 1,240.6 1,294.1 505.4 296.2 2,215.2 766.3 225.4 395.0 414.3 441.6 494.5 467.5 537.7 3,958.5 2,762.2 4,941.4 73,701.0 7,909.6 11,100.6 9,223.1 45,467.8 355.3 2,325.9 586.3 449.1 361.9 2,537.6 6,030.1 1,763.8 3,145.9 4,515.5 502.4 336.2 2,845.1 1,536.0 802.1 484.9 545.9 2,302.6 917.7 19,494.9 4,615.4 12,600.5 2,279.1 9,964.7 430.3 6,536.9 334.2 360.4 2,029.2 6,818.4 701.0 2,700.7 414.3 5,517.5 877.4 486.3 38.4 30.6 38.4 36.2 27.6 38.8 33.3 36.4 28.5 41.9 36.1 34.6 32.6 26.6 24.6 32.2 37.9 33.8 50.9 15.9 14.8 56.5 27.7 28.6 39.2 42.7 28.2 53.2 34.7 30.5 26.6 25.3 28.7 25.3 23.2 25.2 45.8 11.4 48.0 22.7 34.0 18.5 18.8 12.5 25.2 39.9 31.6 33.0 27.8 32.9 19.3 33.7 28.3 18.6 39.9 29.6 26.6 30.7 29.5 36.1 24.7 36.9 39.8 23.0 25.0 29.9 49.8 24.3 44.6 29.4 46.3 30.6 14.1 16.1 14.9 9.7 13.0 19.0 9.1 9.2 10.7 4.6 4.0 11.1 6.1 10.2 15.1 7.8 16.5 9.3 10.6 12.2 6.6 7.8 8.9 6.1 6.9 12.9 16.5 17.8 9.9 9.3 12.5 8.1 9.0 7.6 11.3 7.4 4.0 16.4 4.3 11.9 8.8 17.7 11.5 10.7 11.6 8.6 8.1 9.2 13.6 12.1 14.0 8.4 7.7 10.0 8.7 9.6 11.8 8.3 12.6 16.4 11.7 8.1 3.2 10.5 14.9 12.9 7.2 11.5 15.7 9.6 14.6 10.1



2000 (mil. dol.) 901.0 360.5 1,438.2 479.4 3,973.5 501.4 14,527.3 4,355.8 7,403.3 2,768.1 292.2 309.3 4,380.5 10,518.4 348.5 1,150.7 1,110.9 462.2 267.7 1,975.1 718.6 209.1 362.8 390.3 413.0 438.0 401.3 456.4 3,600.4 2,527.4 4,392.5 68,209.5 7,255.7 10,316.2 8,285.7 42,351.9 341.5 1,997.9 562.0 401.3 332.7 2,155.1 5,406.3 1,593.8 2,818.7 4,158.3 464.8 307.9 2,505.3 1,370.7 703.5 447.3 506.8 2,093.3 844.6 17,790.8 4,127.2 11,639.0 2,024.6 8,561.9 385.2 6,046.3 323.9 326.1 1,766.6 6,039.2 653.7 2,422.0 358.0 5,035.5 765.5 441.5



Percent Perof cent total change, employ- 2000– Total ment 2002 21,808 10,006 44,689 11,544 98,314 14,223 315,357 96,862 156,697 61,798 8,144 8,657 97,051 236,385 10,099 30,741 27,435 14,992 6,822 44,495 18,067 6,767 10,091 11,088 9,944 12,208 9,806 12,079 91,789 51,571 113,947 1,278,525 143,110 189,942 158,867 786,606 8,952 49,138 15,809 10,133 9,484 50,695 121,726 36,053 66,285 103,628 12,384 9,352 51,544 30,317 15,128 10,980 13,875 45,156 22,474 371,416 89,248 234,460 47,708 218,635 10,576 137,743 8,433 9,822 41,871 133,814 16,095 56,267 10,744 105,689 24,809 11,845 2.1 2.4 2.7 2.2 2.2 2.4 2.0 2.0 1.9 2.1 2.7 2.5 2.1 2.0 2.5 2.5 2.1 3.0 2.3 2.0 2.4 3.0 2.6 2.7 2.3 2.5 2.1 2.2 2.3 1.9 2.3 1.7 1.8 1.7 1.7 1.7 2.5 2.1 2.7 2.3 2.6 2.0 2.0 2.0 2.1 2.3 2.5 2.8 1.8 2.0 1.9 2.3 2.5 2.0 2.4 1.9 1.9 1.9 2.1 2.2 2.5 2.1 2.5 2.7 2.1 2.0 2.3 2.1 2.6 1.9 2.8 2.4 5.8 4.8 5.2 −4.2 3.0 4.0 3.7 4.4 3.7 2.6 0.5 0.2 −0.1 0.5 10.2 −0.4 5.7 −0.3 1.7 0.8 −0.4 −1.1 2.4 2.2 0.3 2.0 3.0 10.1 0.7 −3.2



2000 20,614 9,552 42,480 12,051 95,408 13,681 304,020 92,742 151,074 60,204 8,107 8,641 97,151 235,287 9,165 30,870 25,948 15,034 6,705 44,126 18,131 6,843 9,857 10,850 9,917 11,969 9,524 10,974 91,185 53,273



Miami-Fort Lauderdale-Miami Beach, FL . . . . . . . . . . Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . West Palm Beach-Boca Raton-Boynton Beach, FL . . . Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . Minneapolis-St. Paul-Bloomington, MN-WI Missoula, MT . . . . . . . . . . . . . . . . . . . Mobile, AL . . . . . . . . . . . . . . . . . . . . . Modesto, CA. . . . . . . . . . . . . . . . . . . . Monroe, LA . . . . . . . . . . . . . . . . . . . . Monroe, MI . . . . . . . . . . . . . Montgomery, AL . . . . . . . . . Morgantown, WV . . . . . . . . . Morristown, TN . . . . . . . . . . Mount Vernon-Anacortes, WA Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



4.3 3,810 1.8 10,603 8.1 6,906 5.5 5,232 −1.7 4,934 6.2 5,033 −12.6 9.4 11.3 4.3 3.7 5.6 9.2 6.5 10.0 7.3 4.6 6.0 5,063 4,850 5,329 4,280 5,712 6,179 7,546 6,047 5,441 5,697 5,219 6,409



Muskegon-Norton Shores, MI. . . . . . . . . . . . Myrtle Beach-Conway-North Myrtle Beach, SC Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . Naples-Marco Island, FL . . . . . . . . . . . . . . . Nashville-Davidson-Murfreesboro, TN . . . . . . New Haven-Milford, CT. . . . . . . . . . . . . . . .



New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA Edison, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . Niles-Benton Harbor, MI . Norwich-New London, CT Ocala, FL . . . . . . . . . . . Ocean City, NJ . . . . . . . Odessa, TX . . . . . . . . . Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



−1.1 115,190 0.6 1,271,253 0.3 142,653 1.1 187,879 2.2 155,411 0.2 785,310 −4.6 7.6 0.7 −0.1 −2.3 7.3 1.2 1.4 1.8 6.7 0.8 1.3 4.0 3.0 3.7 −1.3 0.6 0.4 1.0 0.8 2.6 0.3 0.4 6.2 1.3 −0.4 0.4 0.1 3.5 1.6 0.3 2.7 7.2 0.4 6.1 0.4 9,388 45,680 15,697 10,148 9,707 47,246 120,243 35,556 65,130 97,161 12,281 9,236 49,544 29,443 14,592 11,126 13,786 44,997 22,250 368,304 86,979 233,812 47,513 205,894 10,444 138,275 8,403 9,816 40,436 131,756 16,051 54,796 10,024 105,245 23,381 11,794



1.4 5,381 12.3 15,060 5.4 5,859 8.2 6,757 10.6 4,071 16.0 8,346 −0.5 7,732 −2.6 10,333 3.3 5,723 7.8 5,433 4.0 7,815 3.0 5,007 5.8 5,143 8.9 10,965 4.6 8,548 1.3 6,484 −1.9 13,914 11.1 8,157 0.1 6.6 10.1 5.8 6.3 9.6 12.6 5.7 5.5 −7.7 6.9 7.9 6.2 1.5 5.5 7.2 10.9 6.9 5,235 6,754 6,318 7,181 5,088 5,591 8,955 7,713 8,175 4,867 7,527 4,625 5,955 5,167 5,314 6,665 2,621 6,247



Oklahoma City, OK . . . . . . . Olympia, WA. . . . . . . . . . . . Omaha-Council Bluffs, NE-IA . Orlando-Kissimee, FL . . . . . . Oshkosh-Neenah, WI . . . . . . Owensboro, KY . . . . . . . . . .



Oxnard-Thousand Oaks-Ventura, CA. Palm Bay-Melbourne-Titusville, FL . . Panama City-Lynn Haven, FL . . . . . Parkersburg-Marietta-Vienna, WV-OH Pascagoula, MS . . . . . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Peoria, IL . . . . . . . . . . . . . . . . . . Philadelphia-Camden-Wilmington, Camden, NJ . . . . . . . . . . . . . . Philadelphia, PA . . . . . . . . . . . . Wilmington, DE-MD-NJ . . . . . . . Phoenix-Mesa-Scottsdale, AZ . . . .



........... PA-NJ-DE-MD . ........... ........... ........... ........... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Pine Bluff, AR . . . . . . . . . . . . . . . . . . Pittsburgh, PA . . . . . . . . . . . . . . . . . . Pittsfield, MA. . . . . . . . . . . . . . . . . . . Pocatello, ID . . . . . . . . . . . . . . . . . . . Portland-South Portland-Biddeford, ME . Portland-Vancouver-Beaverton, OR-WA .



Port St. Lucie-Fort Pierce, FL. . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA. Provo-Orem, UT . . . . . . . . . . . . . . . . . . Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



183



Table B-11. Metropolitan Areas — Government—Con.

Government Federal funds and grants Earnings 2003 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division ExpendPeritures cent total change, Per (mil. 2002– capita1 (dol.) dol.) 2003 Punta Gorda, FL . Racine, WI . . . . . Raleigh-Cary, NC. Rapid City, SD . . Reading, PA . . . . Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 970.8 822.9 4,895.3 897.4 1,670.8 1,061.2 1,743.0 7,547.5 14,663.2 1,781.6 827.7 5,836.5 1,355.7 831.3 440.4 17,706.0 1,153.2 716.8 406.5 664.9 21,989.5 2,331.3 2,106.6 570.1 5,112.4 678.4 14,255.2 24,045.1 420.5 25,998.6 14,289.7 11,708.9 11,408.1 1,113.7 2,724.0 992.7 1,173.4 2,039.1 3,999.2 2,861.0 4,013.3 18,729.8 13,677.2 5,052.6 452.7 561.4 2,506.1 852.0 994.2 2,163.8 1,115.6 2,554.2 3,216.4 4,076.4 1,822.7 837.3 961.1 2,675.1 877.5 3,749.7 4,111.4 16,181.1 1,052.2 971.0 3,328.6 1,974.4 3,730.2 8,108.7 4,102.6 1,189.1 921.7 4.4 2.9 5.2 6.7 3.3 4.8 1.6 3.1 8.5 13.1 5.5 7.3 3.0 7.7 3.9 −6.4 2.5 0.2 4.0 2.6 5.8 3.2 3.5 19.1 5.4 5.3 12.4 3.8 0.1 4.5 2.7 6.9 13.3 7.4 11.3 3.8 −0.4 4.1 7.0 15.8 2.2 10.2 10.3 9.9 1.3 0.6 6.5 6,353 4,273 5,516 7,736 4,321 6,041 4,651 6,629 4,023 6,139 4,803 5,607 4,092 5,748 4,714 8,963 5,506 4,034 3,890 5,402 7,985 6,392 5,083 5,040 5,084 6,422 7,848 8,238 5,331 6,255 5,812 6,897 6,586 4,401 6,763 3,944 8,584 4,363 6,303 9,378 7,261 5,961 5,695 6,823 3,987 4,880 6,618 Percent for direct payments to individuals 94.4 70.6 42.0 44.6 76.0 70.0 58.0 49.9 64.2 60.9 49.9 60.6 68.5 60.0 74.3 37.9 66.9 60.3 77.4 67.5 44.2 49.8 52.5 63.2 40.7 54.5 45.2 37.6 69.8 46.5 46.8 46.0 33.5 74.3 45.4 64.1 34.5 70.6 87.1 37.8 70.5 45.6 45.1 47.0 71.9 78.9 55.8 52.2 57.1 46.4 74.7 59.1 31.0 59.0 68.8 68.7 39.8 61.2 44.3 57.4 27.6 70.1 62.0 56.7 66.8 47.3 40.0 39.8 67.4 58.0 69.4 2002 Employment 2002



2000 (mil. dol.) 816.2 682.6 4,492.4 758.7 1,405.6 883.5 1,345.4 6,077.0 12,001.9 1,422.8 684.4 4,680.2 1,139.6 721.8 357.8 14,225.7 999.1 576.0 314.4 558.1 17,728.9 1,801.3 1,778.4 516.3 4,044.8 569.0 10,868.9 18,991.0 351.3 22,158.7 12,248.4 9,910.3 9,037.2 966.8 2,282.7 862.0 879.9 1,731.0 3,307.2 2,268.9 3,399.8 15,188.4 11,131.3 4,057.1 393.6 500.1 2,025.2 744.2 853.2 1,598.6 912.5 2,133.2 2,396.3 3,516.9 1,475.7 708.9 767.6 2,226.8 708.1 3,232.7 3,307.6 13,469.6 867.6 795.5 2,881.1 1,616.6 3,153.6 6,382.0 3,463.7 978.4 759.0



Percent Perof cent Total total change, (mil. earn- 2000– dol.) ings 2002 225.9 463.6 3,738.1 610.4 881.8 599.7 1,413.7 5,662.8 11,145.2 919.4 462.6 3,426.0 723.9 430.5 241.6 13,447.2 566.1 576.3 188.4 360.9 8,585.1 1,881.4 2,036.5 411.7 4,111.9 510.8 8,714.9 18,091.0 245.3 19,587.4 10,207.2 9,380.1 6,067.4 1,005.0 1,880.3 893.4 741.4 1,451.3 1,146.4 1,183.4 1,495.6 14,553.5 10,579.4 3,974.1 269.1 220.5 1,719.8 374.3 492.1 683.7 748.4 1,762.0 1,718.8 2,584.0 961.5 347.1 1,280.8 1,921.3 624.2 2,464.0 2,782.3 6,899.4 528.4 493.5 2,328.2 1,130.0 3,116.7 3,669.5 2,042.7 893.9 498.8 67.6 41.5 23.7 19.0 43.8 29.3 26.5 20.1 32.7 31.6 37.3 30.4 45.8 33.6 38.7 14.7 37.0 30.8 55.5 34.1 32.1 19.4 20.3 27.5 24.5 20.7 20.8 16.1 32.2 21.2 24.1 18.1 28.5 25.2 21.4 28.2 18.4 32.2 55.3 25.8 37.0 21.6 22.7 18.6 42.2 52.2 22.0 38.2 40.4 46.4 35.0 24.5 11.9 26.6 40.0 41.2 10.9 32.9 16.9 26.5 11.8 36.7 32.1 26.7 28.3 20.1 11.6 24.3 43.1 21.7 36.9 5.9 9.0 9.6 11.9 8.7 14.0 14.4 7.9 17.1 6.3 10.0 13.5 7.2 6.4 8.9 14.0 4.4 10.9 8.7 3.8 9.3 11.3 17.7 13.7 12.0 11.4 10.9 16.4 15.7 12.9 12.1 13.7 13.4 15.5 15.0 18.9 14.7 14.4 8.8 11.3 8.7 12.2 11.1 15.3 7.2 8.0 11.2 8.0 10.1 6.3 9.8 12.9 8.7 8.6 9.6 9.6 14.0 18.8 16.0 10.2 4.3 9.0 4.7 6.2 15.9 9.3 10.5 15.8 8.5 8.1 6.8



2000 (mil. dol.) 213.4 425.2 3,409.3 545.5 811.2 526.0 1,235.8 5,245.9 9,516.6 865.2 420.6 3,017.4 675.6 404.5 221.9 11,799.6 542.2 519.8 173.4 347.8 7,853.3 1,691.0 1,729.6 361.9 3,671.0 458.6 7,856.5 15,544.1 212.0 17,355.9 9,105.2 8,250.6 5,351.2 870.1 1,634.4 751.4 646.7 1,268.7 1,054.1 1,063.6 1,376.4 12,968.9 9,521.1 3,447.9 251.0 204.2 1,546.6 346.7 446.9 643.3 681.4 1,561.3 1,580.7 2,380.3 877.6 316.7 1,123.6 1,617.5 538.1 2,236.5 2,667.9 6,331.0 504.8 464.7 2,009.0 1,033.6 2,820.2 3,168.2 1,882.5 826.6 467.0



Percent Perof cent total change, employ- 2000– Total ment 2002 5,425 10,256 83,378 13,312 21,864 14,444 25,540 122,960 233,044 20,721 10,777 78,405 17,147 11,348 6,521 239,568 12,811 13,052 5,430 10,313 186,372 38,990 36,170 9,695 95,619 12,434 181,475 340,913 6,036 315,126 171,426 143,700 102,441 21,735 38,171 19,350 17,513 30,410 25,942 26,006 33,264 287,775 209,742 78,033 6,499 6,108 38,358 9,602 12,042 17,327 18,223 37,741 31,784 59,225 25,013 8,426 38,460 39,318 13,127 55,882 64,056 146,960 13,638 11,248 53,203 27,936 51,895 82,071 52,091 23,127 12,574 2.4 2.2 2.2 2.2 2.5 2.4 1.8 2.2 2.1 2.3 2.3 2.3 2.4 2.6 2.7 1.8 2.3 2.3 2.9 2.9 2.2 2.1 1.8 2.4 2.3 2.4 2.1 1.9 2.5 1.6 1.7 1.5 1.7 2.2 2.0 2.2 2.4 2.1 2.3 2.2 2.2 2.0 2.0 2.0 2.4 2.8 2.2 2.6 2.4 2.5 2.4 2.1 1.8 2.3 2.6 2.4 3.0 2.0 2.1 2.3 2.3 2.1 2.6 2.3 2.3 2.5 1.7 2.2 2.6 2.6 2.5 −3.5 0.4 2.9 1.6 3.5 6.1 9.9 0.8 8.2 −1.5 2.2 2.9 3.1 1.1 2.3 3.9 0.9 0.7 6.9 −2.8 −0.5 0.2 3.3 2.5 2.9 0.4 3.4 7.5 6.0 (Z) −0.2 0.2 0.1 5.5 4.6 4.9 −0.6 2.0 0.9 0.7 0.5 3.3 2.8 4.6 (Z) (Z) 0.4 −1.6 1.1 −1.4 2.4 4.7 −1.2 2.4 0.7 −0.1 5.8 9.0 2.2 1.4 −0.4 1.9 −3.1 −2.0 3.6 1.4 2.0 2.4 −0.5 0.5 −0.4



2000 5,624 10,219 81,011 13,108 21,116 13,618 23,235 121,950 215,382 21,037 10,546 76,211 16,639 11,228 6,373 230,554 12,702 12,965 5,080 10,605 187,306 38,911 35,003 9,458 92,959 12,380 175,455 317,049 5,695 315,178 171,814 143,364 102,298 20,599 36,492 18,454 17,624 29,819 25,710 25,825 33,113 278,607 203,996 74,611 6,497 6,109 38,192 9,754 11,906 17,578 17,795 36,058 32,172 57,822 24,835 8,437 36,357 36,085 12,843 55,129 64,296 144,255 14,071 11,473 51,332 27,542 50,894 80,130 52,350 23,017 12,622



Reno-Sparks, NV. . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . . . . . . Riverside-San Bernardino-Ontario, CA . Roanoke, VA. . . . . . . . . . . . . . . . . . Rochester, MN . . . . . . . . . . . . . . . . Rochester, NY. . . . . . . . . . . . . . . . .



Rockford, IL . . . . . . . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . Sacramento-Arden-Arcade-Roseville, CA . Saginaw-Saginaw Township North, MI . . . St. Cloud, MN . . . . . . . . . . . . . . . . . . . St. George, UT . . . St. Joseph, MO-KS St. Louis, MO-IL3 . . Salem, OR . . . . . . Salinas, CA . . . . . Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Salt Lake City, UT . . . . . . . . . . . . . San Angelo, TX . . . . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA Sandusky, OH . . . . . . . . . . . . . . . .



San Francisco-Oakland-Fremont, CA . . . . . . Oakland-Fremont-Hayward, CA. . . . . . . . . . San Francisco-San Mateo-Redwood City, CA San Jose-Sunnyvale-Santa Clara, CA . . . . . . . San Luis Obispo-Paso Robles, CA . . . . . . . . . Santa Barbara-Santa Maria, CA . . . . . . . . . . . Santa Cruz-Watsonville, CA. . . Santa Fe, NM . . . . . . . . . . . . Santa Rosa-Petaluma, CA. . . . Sarasota-Bradenton-Venice, FL Savannah, GA . . . . . . . . . . . Scranton-Wilkes-Barre, PA . . . Seattle-Tacoma-Bellevue, WA Seattle-Bellevue-Everett, WA Tacoma, WA . . . . . . . . . . . Sheboygan, WI . . . . . . . . . . . Sherman-Denison, TX . . . . . . Shreveport-Bossier City, LA . . . Sioux City, IA-NE-SD . . Sioux Falls, SD . . . . . . South Bend-Mishawaka, Spartanburg, SC . . . . . Spokane, WA . . . . . . . Springfield, IL . . . . . . . Springfield, MA . . Springfield, MO . . Springfield, OH . . State College, PA Stockton, CA . . . Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..... ..... IN-MI . ..... ..... ..... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



−9.2 5,954 −2.4 5,004 16.3 6,817 5.2 4,261 6.5 5,923 −6.9 15,722 3.4 5.5 0.7 10.8 4.6 14.2 5,931 4,741 5,862 6,874 4,234 8,298



Syracuse, NY . . . . . . . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Terre Haute, IN . . . . . . . . . . . . . . . Texarkana, TX-Texarkana, AR . . . . . Toledo, OH . . . . . . . . . . . . . . . . . . Topeka, KS. . . . . . Trenton-Ewing, NJ . Tucson, AZ . . . . . . Tulsa, OK. . . . . . . Tuscaloosa, AL . . . Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



6.3 5,740 −7.7 12,554 6.6 6,393 −9.7 6,205 −5.4 7,373 4.1 5,047 −3.2 8,704 −5.8 10,327 4.3 9,101 5.0 4,663 8.1 6,117 7.7 5,013



See footnotes at end of table.



184



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table B-11. Metropolitan Areas — Government—Con.

Government Federal funds and grants Earnings 2003 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division ExpendPeritures cent total change, Per (mil. 2002– capita1 (dol.) dol.) 2003 Utica-Rome, NY . . . . . . . . . . Valdosta, GA. . . . . . . . . . . . . Vallejo-Fairfield, CA . . . . . . . . Vero Beach, FL . . . . . . . . . . . Victoria, TX. . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,982.4 838.6 2,442.4 832.3 532.1 874.8 18,213.7 1,634.1 1,236.2 1,769.9 98,384.7 15,215.4 83,169.3 805.1 537.6 870.1 513.7 974.1 3,488.4 1,295.7 652.4 1,648.6 441.6 2,038.7 3,926.5 1,171.5 2,074.9 3,532.9 966.2 1,021.7 7.0 1.0 14.8 8.6 6.1 5.5 −0.9 4.8 7.1 9.9 10.9 16.1 10.0 −7.3 2.1 7.2 9.9 4.4 2.6 3.2 3.8 9.9 2.7 6.7 4.1 9.5 2.7 6.8 1.5 13.4 6,650 6,865 5,933 6,921 4,709 5,851 11,208 4,178 5,630 14,741 19,403 13,481 21,098 4,978 4,224 6,768 5,049 6,490 5,992 8,716 5,498 5,612 4,000 4,663 5,061 5,164 5,245 5,957 6,517 5,989 Percent for direct payments to individuals 60.7 46.3 49.2 86.1 66.5 60.5 33.0 56.1 61.8 26.5 17.0 22.2 16.1 69.3 62.0 74.6 61.0 69.7 51.5 45.0 68.9 65.8 76.3 66.6 64.8 54.4 57.6 73.3 52.2 48.2 2002 Employment 2002



2000 (mil. dol.) 1,694.5 663.9 1,948.8 677.5 437.9 737.9 15,281.5 1,342.3 1,080.4 1,304.2 75,122.6 11,541.9 63,580.7 723.9 426.5 727.1 415.1 807.3 2,881.7 1,101.6 567.1 1,312.6 403.3 1,603.8 3,361.4 994.1 1,716.2 2,992.4 839.2 791.4



Percent Perof cent Total total change, (mil. earn- 2000– dol.) ings 2002 1,277.5 686.9 1,875.6 235.1 309.3 717.6 14,243.9 1,259.4 693.7 1,612.9 53,358.7 7,627.0 45,731.8 528.7 313.4 249.1 383.7 407.8 1,746.3 1,008.4 362.7 981.0 259.3 913.7 2,387.0 704.3 850.2 1,397.0 706.7 729.7 23.3 17.8 21.9 51.1 36.5 20.8 11.4 31.1 31.6 7.4 9.5 14.8 8.6 30.6 40.6 51.6 26.5 36.8 33.3 14.7 32.7 29.9 42.6 47.8 32.5 32.2 46.5 42.5 21.0 23.4 8.8 16.4 18.5 8.1 6.5 11.1 12.9 13.4 11.6 18.1 14.8 14.4 14.9 5.4 8.6 5.3 10.7 6.7 11.0 17.1 27.3 13.9 11.6 5.5 9.5 9.1 10.3 8.7 17.0 15.7



2000 (mil. dol.) 1,174.5 590.1 1,583.4 217.6 290.4 646.1 12,613.7 1,110.5 621.4 1,366.1 46,459.9 6,667.3 39,792.6 501.5 288.5 236.7 346.7 382.2 1,572.9 860.9 284.9 861.4 232.3 866.1 2,179.0 645.8 770.4 1,285.6 603.9 630.7



Percent Perof cent total change, employ- 2000– Total ment 2002 27,740 15,547 35,710 5,249 8,893 14,391 264,088 30,325 16,893 25,650 696,389 105,861 590,528 14,451 7,859 6,896 8,467 10,839 43,519 23,864 9,114 23,709 6,787 23,752 51,557 16,870 18,838 35,256 14,639 16,380 2.2 2.3 1.9 2.2 2.9 2.0 1.9 2.4 2.4 1.6 1.3 1.4 1.3 2.7 2.5 2.8 2.2 2.7 2.5 2.4 2.5 2.4 2.6 2.6 2.2 2.4 2.2 2.5 2.1 2.2 −2.3 4.3 7.2 1.5 0.4 1.7 2.2 3.7 5.0 7.5 3.2 4.2 3.0 −1.6 1.5 −2.6 −0.9 −2.5 1.4 5.4 34.3 4.9 3.8 0.4 0.3 2.0 1.9 −0.9 5.6 4.3



2000 28,383 14,899 33,312 5,173 8,861 14,152 258,441 29,239 16,093 23,855 675,034 101,641 573,393 14,682 7,744 7,079 8,547 11,122 42,921 22,641 6,788 22,606 6,536 23,666 51,407 16,545 18,478 35,571 13,859 15,703



Virginia Beach-Norfolk-Newport News, VA-NC. . . . . Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV Bethesda-Gaithersburg-Frederick, MD . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV. Waterloo-Cedar Falls, IA . . . . Wausau, WI . . . . . . . . . . . . Weirton-Steubenville, WV-OH. Wenatchee, WA . . . . . . . . . Wheeling, WV-OH . . . . . . . . Wichita, KS. . . . . . . . . . . . . Wichita Falls, TX . . Williamsport, PA . . Wilmington, NC . . . Winchester, VA-WV Winston-Salem, NC Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Yakima, WA . . . . . . . . . . . . . York-Hanover, PA . . . . . . . . . Youngstown-Warren-Boardman, Yuba City, CA . . . . . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . . Z Less than .05%.



...... ...... OH-PA . ...... ......



Based on resident population estimated as of July 1, 2003. The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield city is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 3 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA.

2



1



Note: Covers metropolitan statistical areas and metropolitan divisions and component counties defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . Survey, Census, or Data Collection Method: Federal funds and grants—Based on information systems in various federal government agencies; for information, see Internet site ; Government earnings and employment—Based on the Regional Economic Information System; for more information, see Appendix B, Limitations of the Data and Methodology, and also and . Sources: Federal funds and grants—U.S. Census Bureau, Consolidated Federal Funds Report, annual, see Internet site . Government earnings and employment—U.S. Bureau of Economic Analysis, Regional Economic Information System (REIS) 1969–2002 on CD-ROM (related Internet site: ).



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



185



Metro Counties

Page

Note: Table C covers 361 metropolitan statistical areas, 11 metropolitan statistical areas with 29 metropolitan divisions, and 1,090 county components defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . For additional information, see Appendix C, Geographic Concepts and Codes.



Table C



188 208 228 248



Population and Population Characteristics Population Characteristics and Housing Units Personal Income and Earnings by Industry Civilian Labor Force and Private Nonfarm Businesses



You may visit us on the Web at http://www.census.gov/compendia/smadb



Table C



Metro Counties



Table C-1. Metropolitan Areas With Component Counties — Population and Population



Characteristics

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Abilene, TX. . . . . . . . . . . . . . . . . . Callahan County, TX . . . . . . . . . . Jones County, TX . . . . . . . . . . . . Taylor County, TX . . . . . . . . . . . . Akron, OH . . . . . . . . . . . . . . . . . . Portage County, OH . . . . . . . . . . Summit County, OH . . . . . . . . . . Albany, GA . . . . . . . . . . . . . . . . . . Baker County, GA. . . . . . . . . . . . Dougherty County, GA. . . . . . . . . Lee County, GA . . . . . . . . . . . . . Terrell County, GA . . . . . . . . . . . Worth County, GA . . . . . . . . . . . Albany-Schenectady-Troy, NY . . . . . Albany County, NY . . . . . . . . . . . Rensselaer County, NY . . . . . . . . Saratoga County, NY . . . . . . . . . Schenectady County, NY . . . . . . . Schoharie County, NY . . . . . . . . . Albuquerque, NM. . . . . . . . . . . . . . Bernalillo County, NM . . . . . . . . . Sandoval County, NM . . . . . . . . . Torrance County, NM . . . . . . . . . Valencia County, NM. . . . . . . . . . Alexandria, LA. . . . . . . . . . . . . . . . Grant Parish, LA . . . . . . . . . . . . Rapides Parish, LA . . . . . . . . . . . Allentown-Bethlehem-Easton, PA-NJ . Warren County, NJ . . . . . . . . . . . Carbon County, PA . . . . . . . . . . . Lehigh County, PA . . . . . . . . . . . Northampton County, PA . . . . . . . Altoona, PA . . . . . . . . . . . . . . . . . Blair County, PA . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . Armstrong County, TX . . . . . . . . Carson County, TX . . . . . . . . . . Potter County, TX . . . . . . . . . . . Randall County, TX. . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . Story County, IA . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . Anchorage Borough, AK . . . . . . Matanuska-Susitna Borough, AK . Anderson, IN . . . . . . . . . . . . . . . Madison County, IN . . . . . . . . . Anderson, SC . . . . . . . . . . . . . . . Anderson County, SC . . . . . . . . Ann Arbor, MI . . . . . . . . . . . . . . . Washtenaw County, MI . . . . . . . Anniston-Oxford, AL . . . . . . . . . . . Calhoun County, AL . . . . . . . . . Appleton, WI . . . . . . . . . . . . . . . . Calumet County, WI . . . . . . . . . Outagamie County, WI . . . . . . . Asheville, NC . . . . . . . . . . . . Buncombe County, NC . . . . Haywood County, NC . . . . . Henderson County, NC . . . . Madison County, NC . . . . . . Athens-Clarke County, GA. . . . Clarke County, GA . . . . . . . Madison County, GA . . . . . . Oconee County, GA . . . . . . Oglethorpe County, GA . . . . Atlanta-Sandy Springs-Marietta, Barrow County, GA . . . . . . . Bartow County, GA . . . . . . . Butts County, GA . . . . . . . . Carroll County, GA . . . . . . . Cherokee County, GA . . . . . Clayton County, GA . Cobb County, GA . . . Coweta County, GA . Dawson County, GA . DeKalb County, GA. . Douglas County, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... ... ... ... ... ... ... ... ... ... GA ... ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158,291 13,516 19,736 125,039 702,235 155,631 546,604 162,842 4,154 94,882 31,099 10,711 21,996 848,879 297,414 155,251 214,859 149,078 32,277 797,940 603,562 107,460 17,501 69,417 147,965 19,503 128,462 790,535 110,376 61,959 330,433 287,767 126,795 126,795 238,664 2,173 6,586 119,852 110,053 79,952 79,952 351,049 275,043 76,006 130,412 130,412 175,514 175,514 341,847 341,847 112,141 112,141 215,143 44,137 171,006 392,831 218,876 56,482 97,217 20,256 175,085 104,439 27,289 29,748 13,609 4,917,717 59,954 89,229 21,045 105,453 184,211 267,966 663,818 109,903 19,731 677,959 112,760 2004 (July 1) 158,449 13,332 20,026 125,091 701,837 155,229 546,608 162,348 4,216 95,222 29,987 10,932 21,991 844,961 297,910 154,460 212,586 148,065 31,940 781,380 592,538 102,725 17,544 68,573 146,951 19,144 127,807 779,730 109,795 61,032 325,570 283,333 127,202 127,202 235,696 2,134 6,494 118,324 108,744 80,239 80,239 346,233 274,067 72,166 130,482 130,482 173,547 173,547 338,782 338,782 111,982 111,982 212,864 43,768 169,096 387,366 215,705 56,140 95,474 20,047 175,415 105,750 27,196 28,908 13,561 4,796,268 56,656 86,914 20,587 102,143 174,851 264,227 654,649 105,395 19,041 674,335 107,084 20001 (estimates base) 160,241 12,905 20,785 126,551 694,960 152,061 542,899 157,866 4,074 96,065 24,757 10,970 22,000 825,875 294,565 152,538 200,635 146,555 31,582 729,653 556,002 90,584 16,915 66,152 145,035 18,698 126,337 740,394 102,433 58,802 312,090 267,069 129,144 129,144 226,522 2,148 6,516 113,546 104,312 79,981 79,981 319,605 260,283 59,322 133,358 133,358 165,740 165,740 322,770 322,770 112,243 112,243 201,722 40,631 161,091 369,172 206,289 54,034 89,214 19,635 166,079 101,489 25,730 26,225 12,635 4,248,018 46,144 76,019 19,523 87,268 141,907 236,517 607,751 89,215 15,999 666,072 92,284 19902 (April 1) 148,004 11,859 16,490 119,655 657,575 142,585 514,990 146,583 3,615 96,321 16,250 10,653 19,744 809,642 292,793 154,429 181,276 149,285 31,859 599,416 480,577 63,319 10,285 45,235 149,082 17,526 131,556 686,688 91,607 56,846 291,130 247,105 130,542 130,542 196,111 2,021 6,576 97,841 89,673 74,252 74,252 266,021 226,338 39,683 130,669 130,669 145,177 145,177 282,937 282,937 116,032 116,032 174,801 34,291 140,510 307,999 174,819 46,942 69,285 16,953 136,025 87,594 21,050 17,618 9,763 3,068,975 29,721 55,915 15,326 71,422 90,204 181,436 447,745 53,853 9,429 546,174 71,120 2000– 20053 −1,950 611 −1,049 −1,512 7,275 3,570 3,705 4,976 80 −1,183 6,342 −259 −4 23,004 2,849 2,713 14,224 2,523 695 68,287 47,560 16,876 586 3,265 2,930 805 2,125 50,141 7,943 3,157 18,343 20,698 −2,349 −2,349 12,142 25 70 6,306 5,741 −29 −29 31,444 14,760 16,684 −2,946 −2,946 9,774 9,774 19,077 19,077 −102 −102 13,421 3,506 9,915 23,659 12,587 2,448 8,003 621 9,006 2,950 1,559 3,523 974 669,699 13,810 13,210 1,522 18,185 42,304 31,449 56,067 20,688 3,732 11,887 20,476 1990– 2000 12,237 1,046 4,295 6,896 37,385 9,476 27,909 11,283 459 −256 8,507 317 2,256 16,233 1,772 −1,891 19,359 −2,730 −277 130,237 75,425 27,265 6,630 20,917 −4,047 1,172 −5,219 53,706 10,826 1,956 20,960 19,964 −1,398 −1,398 30,411 127 −60 15,705 14,639 5,729 5,729 53,584 33,945 19,639 2,689 2,689 20,563 20,563 39,833 39,833 −3,789 −3,789 26,921 6,340 20,581 61,173 31,470 7,092 19,929 2,682 30,054 13,895 4,680 8,607 2,872 1,179,043 16,423 20,104 4,197 15,846 51,703 55,081 160,006 35,362 6,570 119,898 21,164 2000– 20053 −1.2 4.7 −5.0 −1.2 1.0 2.3 0.7 3.2 2.0 −1.2 25.6 −2.4 (Z) 2.8 1.0 1.8 7.1 1.7 2.2 9.4 8.6 18.6 3.5 4.9 2.0 4.3 1.7 6.8 7.8 5.4 5.9 7.8 −1.8 −1.8 5.4 1.2 1.1 5.6 5.5 (Z) (Z) 9.8 5.7 28.1 −2.2 −2.2 5.9 5.9 5.9 5.9 −0.1 −0.1 6.7 8.6 6.2 6.4 6.1 4.5 9.0 3.2 5.4 2.9 6.1 13.4 7.7 15.8 29.9 17.4 7.8 20.8 29.8 13.3 9.2 23.2 23.3 1.8 22.2 1990– 2000 8.3 8.8 26.0 5.8 5.7 6.6 5.4 7.7 12.7 −0.3 52.4 3.0 11.4 2.0 0.6 −1.2 10.7 −1.8 −0.9 21.7 15.7 43.1 64.5 46.2 −2.7 6.7 −4.0 7.8 11.8 3.4 7.2 8.1 −1.1 −1.1 15.5 6.3 −0.9 16.1 16.3 7.7 7.7 20.1 15.0 49.5 2.1 2.1 14.2 14.2 14.1 14.1 −3.3 −3.3 15.4 18.5 14.6 19.9 18.0 15.1 28.8 15.8 22.1 15.9 22.2 48.9 29.4 38.4 55.3 36.0 27.4 22.2 57.3 30.4 35.7 65.7 69.7 22.0 29.8 Net change Percent change Percent— Black or African American alone, 2003 6.8 0.4 12.1 6.6 11.2 3.4 13.4 49.2 52.0 62.3 15.2 61.3 29.5 7.3 12.4 5.7 1.7 8.0 1.4 2.9 3.2 2.1 2.0 1.5 28.4 11.6 30.9 3.4 2.6 0.9 4.4 3.2 1.2 1.2 6.0 0.4 0.8 10.4 1.6 1.9 1.9 5.3 6.4 0.9 8.0 8.0 17.0 17.0 12.3 12.3 19.4 19.4 0.6 0.5 0.7 5.0 7.3 1.3 3.0 0.9 19.8 26.6 8.4 6.4 19.1 29.2 9.9 8.4 27.0 16.1 3.4 58.8 20.0 16.9 0.6 55.5 25.0



65 years and over, 2003 13.2 17.7 13.5 12.7 13.4 11.2 14.0 11.1 12.4 11.8 6.8 12.7 12.5 13.7 14.0 13.2 11.7 16.1 15.1 11.4 11.6 10.9 10.5 10.6 13.1 12.6 13.1 15.1 12.5 17.7 15.5 15.1 17.3 17.3 11.9 19.7 15.7 11.7 11.8 9.9 9.9 6.1 6.0 6.3 15.0 15.0 13.7 13.7 8.3 8.3 14.3 14.3 11.0 10.6 11.1 17.5 15.3 19.6 21.5 16.1 9.1 8.2 11.1 9.0 11.8 7.7 8.4 9.3 9.8 9.6 6.8 6.6 7.4 8.4 10.2 8.1 7.5



Asian alone, 2003 1.1 0.5 0.5 1.3 1.6 1.1 1.7 0.7 – 0.8 1.1 0.5 0.3 2.6 3.7 2.2 1.5 2.8 0.4 1.9 2.2 1.1 0.4 0.5 0.9 0.2 1.0 2.0 1.7 0.4 2.6 1.7 0.5 0.5 1.8 – 0.1 2.3 1.3 6.2 6.2 4.9 6.0 0.7 0.4 0.4 0.5 0.5 7.6 7.6 0.7 0.7 2.4 2.0 2.6 0.7 0.8 0.3 0.7 0.3 2.2 3.0 0.4 1.7 0.3 3.7 2.7 0.5 0.4 0.7 1.2 5.1 3.6 0.9 0.4 3.8 1.2



Hispanic or Latino origin, 20034 18.7 7.5 21.4 19.5 0.9 0.7 0.9 1.2 2.9 1.2 1.1 1.3 1.2 3.1 3.8 2.7 2.2 4.0 2.2 42.9 43.5 31.2 38.4 55.7 1.6 1.4 1.6 8.1 4.9 1.6 11.4 6.9 0.5 0.5 21.0 5.8 8.3 30.8 11.3 1.6 1.6 5.7 6.4 2.9 1.7 1.7 1.3 1.3 2.8 2.8 1.8 1.8 2.0 1.5 2.1 3.8 3.2 1.5 6.9 1.5 5.6 7.5 2.1 3.1 2.5 7.7 4.4 4.6 1.7 3.4 6.9 9.5 9.3 4.1 2.3 8.8 3.6



See footnotes at end of table.



188



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Atlanta-Sandy Springs-Marietta, Fayette County, GA . . . . . . Forsyth County, GA . . . . . . Fulton County, GA . . . . . . . Gwinnett County, GA. . . . . . Haralson County, GA . . . . . Heard County, GA . . . . . . . Henry County, GA . . . . . . . Jasper County, GA . . . . . . . Lamar County, GA . . . . . . . Meriwether County, GA . . . . Newton County, GA . . . . . . Paulding County, GA. . . . . . Pickens County, GA . . . . . . Pike County, GA. . . . . . . . . Rockdale County, GA . . . . . Spalding County, GA. . . . . . Walton County, GA . . . . . . . GA—Con. ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2004 (July 1) 20001 (estimates base) 19902 (April 1) 2000– 20053 1990– 2000 2000– 20053 1990– 2000 Net change Percent change Percent— Black or African American alone, 2003



65 years and over, 2003



Asian alone, 2003



Hispanic or Latino origin, 20034



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



104,248 140,393 915,623 726,273 28,338 11,346 167,848 13,147 16,378 22,919 86,713 112,411 28,442 16,128 78,545 61,289 75,647 271,015 271,015 123,254 123,254 520,332 23,299 103,812 21,743 195,769 150,181 25,528 1,452,529 69,932 36,523 124,432 888,185 333,457 756,825 756,825 2,655,675 510,878 786,113 168,541 239,259 269,457 45,612 635,815 147,068 147,068 226,514 226,514 733,802 90,501 411,417 20,823 32,386 109,206 22,377 10,259 21,634 15,199 139,191 139,191 109,029 109,029 383,530 50,976 247,571 84,983 183,471 183,471 141,382 141,382 146,593 9,902 136,691 248,422 196,947 51,475



101,200 131,950 905,802 700,577 27,965 11,266 158,939 12,778 16,326 22,790 81,624 106,035 27,798 15,689 76,858 60,745 72,044 268,311 268,311 120,537 120,537 516,338 23,122 100,554 21,559 196,922 148,879 25,302 1,411,199 68,519 36,384 119,274 868,873 318,149 734,077 734,077 2,644,744 508,356 781,171 166,489 235,290 266,532 44,963 641,943 146,698 146,698 227,984 227,984 727,413 87,019 411,564 20,870 32,483 105,758 22,444 10,309 21,855 15,111 139,505 139,505 109,139 109,139 383,251 50,218 248,308 84,725 180,205 180,205 134,618 134,618 144,576 9,770 134,806 249,345 197,926 51,419



91,263 98,407 815,806 588,448 25,690 11,012 119,370 11,426 15,912 22,534 62,001 81,568 22,979 13,688 70,111 58,417 60,687 252,552 252,552 115,092 115,092 499,649 22,243 89,288 21,231 199,775 142,552 24,560 1,249,753 57,716 32,192 97,566 812,312 249,967 661,653 661,653 2,552,994 489,656 754,292 150,897 218,590 247,842 40,563 651,154 144,919 144,919 222,230 222,230 705,967 76,627 412,852 21,360 33,320 91,808 22,763 10,525 21,601 15,111 137,985 137,985 110,157 110,157 385,090 48,073 252,051 84,966 166,826 166,826 115,367 115,367 138,904 9,552 129,352 252,320 200,536 51,784



62,415 44,083 648,776 352,910 21,966 8,628 58,741 8,453 13,038 22,411 41,808 41,611 14,432 10,224 54,091 54,457 38,586 224,327 224,327 87,146 87,146 435,799 20,579 66,031 20,119 189,719 120,991 18,360 846,227 38,263 26,392 65,614 576,407 139,551 544,981 544,981 2,382,172 427,239 692,134 123,372 182,132 187,328 33,953 736,014 146,601 146,601 186,605 186,605 623,850 58,214 380,105 19,211 31,049 70,523 22,540 9,874 19,419 12,915 135,982 135,982 111,723 111,723 361,218 41,320 239,389 80,509 127,780 127,780 74,976 74,976 121,499 8,080 113,419 264,497 212,160 52,337



12,985 41,986 99,817 137,825 2,648 334 48,478 1,721 466 385 24,712 30,843 5,463 2,440 8,434 2,872 14,960 18,463 18,463 8,162 8,162 20,683 1,056 14,524 512 −4,006 7,629 968 202,776 12,216 4,331 26,866 75,873 83,490 95,172 95,172 102,681 21,222 31,821 17,644 20,669 21,615 5,049 −15,339 2,149 2,149 4,284 4,284 27,835 13,874 −1,435 −537 −934 17,398 −386 −266 33 88 1,206 1,206 −1,128 −1,128 −1,560 2,903 −4,480 17 16,645 16,645 26,015 26,015 7,689 350 7,339 −3,898 −3,589 −309



28,848 54,324 167,030 235,538 3,724 2,384 60,629 2,973 2,874 123 20,193 39,957 8,547 3,464 16,020 3,960 22,101 28,225 28,225 27,946 27,946 63,850 1,664 23,257 1,112 10,056 21,561 6,200 403,526 19,453 5,800 31,952 235,905 110,416 116,672 116,672 170,822 62,417 62,158 27,525 36,458 60,514 6,610 −84,860 −1,682 −1,682 35,625 35,625 82,117 18,413 32,747 2,149 2,271 21,285 223 651 2,182 2,196 2,003 2,003 −1,566 −1,566 23,872 6,753 12,662 4,457 39,046 39,046 40,391 40,391 17,405 1,472 15,933 −12,177 −11,624 −553



14.2 42.7 12.2 23.4 10.3 3.0 40.6 15.1 2.9 1.7 39.9 37.8 23.8 17.8 12.0 4.9 24.7 7.3 7.3 7.1 7.1 4.1 4.7 16.3 2.4 −2.0 5.4 3.9 16.2 21.2 13.5 27.5 9.3 33.4 14.4 14.4 4.0 4.3 4.2 11.7 9.5 8.7 12.4 −2.4 1.5 1.5 1.9 1.9 3.9 18.1 −0.3 −2.5 −2.8 19.0 −1.7 −2.5 0.2 0.6 0.9 0.9 −1.0 −1.0 −0.4 6.0 −1.8 (Z) 10.0 10.0 22.5 22.5 5.5 3.7 5.7 −1.5 −1.8 −0.6



46.2 123.2 25.7 66.7 17.0 27.6 103.2 35.2 22.0 0.5 48.3 96.0 59.2 33.9 29.6 7.3 57.3 12.6 12.6 32.1 32.1 14.7 8.1 35.2 5.5 5.3 17.8 33.8 47.7 50.8 22.0 48.7 40.9 79.1 21.4 21.4 7.2 14.6 9.0 22.3 20.0 32.3 19.5 −11.5 −1.1 −1.1 19.1 19.1 13.2 31.6 8.6 11.2 7.3 30.2 1.0 6.6 11.2 17.0 1.5 1.5 −1.4 −1.4 6.6 16.3 5.3 5.5 30.6 30.6 53.9 53.9 14.3 18.2 14.0 −4.6 −5.5 −1.1



9.6 6.8 7.7 5.6 13.0 10.8 7.3 11.1 12.3 13.8 9.1 5.6 13.4 10.8 9.2 11.6 10.2 13.4 13.4 8.3 8.3 11.2 10.2 8.8 11.8 10.9 13.3 10.7 7.2 9.9 11.3 7.6 6.8 7.3 9.2 9.2 11.9 10.2 14.5 10.9 10.6 8.0 12.6 12.5 13.3 13.3 22.9 22.9 9.8 7.5 10.2 11.1 11.0 8.5 14.4 11.6 10.2 7.4 13.7 13.7 14.9 14.9 13.2 12.5 13.5 13.1 12.0 12.0 13.3 13.3 13.7 16.1 13.5 15.8 16.4 13.7



13.6 1.3 43.1 15.7 5.4 10.5 20.9 24.7 28.9 40.9 27.3 10.4 1.3 12.4 27.3 32.2 14.0 18.2 18.2 23.2 23.2 35.3 50.4 11.5 38.1 51.0 26.1 41.2 7.9 8.8 8.5 4.0 9.0 5.8 6.3 6.3 27.3 13.3 22.1 2.4 9.6 14.3 7.8 64.9 0.5 0.5 2.1 2.1 34.4 19.5 41.9 45.9 50.1 3.9 37.4 53.8 34.6 50.0 11.0 11.0 1.4 1.4 25.4 6.6 34.9 8.3 0.8 0.8 0.3 0.3 0.5 0.4 0.5 3.4 4.1 0.7



2.8 2.0 3.5 8.6 0.2 0.1 2.3 0.1 0.4 0.2 1.0 0.5 0.3 0.4 2.0 0.7 0.8 5.7 5.7 1.9 1.9 1.5 0.4 3.3 0.4 1.5 0.8 0.3 4.0 0.6 0.5 0.9 5.0 3.5 3.6 3.6 3.1 2.5 3.6 1.1 1.6 9.7 0.8 1.6 0.8 0.8 0.8 0.8 1.5 0.7 2.4 0.3 0.3 0.3 0.3 0.1 0.4 0.2 1.3 1.3 0.5 0.5 2.1 0.3 3.0 0.8 3.1 3.1 0.8 0.8 0.6 0.5 0.6 2.7 3.3 0.8



2.6 6.5 6.7 13.8 0.7 1.0 3.2 2.7 1.3 1.4 2.7 2.6 2.5 1.6 7.3 1.9 2.1 13.3 13.3 1.5 1.5 2.2 1.3 2.5 1.5 2.2 2.4 2.1 28.3 26.5 43.1 31.1 30.9 18.9 41.5 41.5 2.1 2.7 2.0 1.1 1.8 3.3 1.0 1.8 0.6 0.6 1.5 1.5 1.9 3.0 2.0 0.8 1.1 1.3 1.1 1.3 2.0 1.1 3.3 3.3 4.0 4.0 8.8 2.9 11.7 4.0 5.5 5.5 4.2 4.2 3.7 1.8 3.8 2.2 2.4 1.4



Atlantic City, NJ . . . . . . . . . . . . . . Atlantic County, NJ . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . Lee County, AL . . . . . . . . . . . . Augusta-Richmond County, GA-SC . Burke County, GA. . . . . . . . . . . Columbia County, GA . . . . . . . . McDuffie County, GA. . . . . . . . . Richmond County, GA . . . . . . . . Aiken County, SC . . . . . . . . . . . Edgefield County, SC . . . . . . . . Austin-Round Rock, TX. . . . . . . . . Bastrop County, TX. . . . . . . . . . Caldwell County, TX . . . . . . . . . Hays County, TX . . . . . . . . . . . Travis County, TX . . . . . . . . . . . Williamson County, TX . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Kern County, CA . . . . . . . . . . . Baltimore-Towson, MD . . . . . . . . . Anne Arundel County, MD . . . . . Baltimore County, MD . . . . . . . . Carroll County, MD . . . . . . . . . . Harford County, MD . . . . . . . . . Howard County, MD . . . . . . . . . Queen Anne’s County, MD . . . . . Baltimore city, MD . . . . . . . . . . Bangor, ME . . . . . . . . . . . . . . . . Penobscot County, ME . . . . . . . Barnstable Town, MA . . . . . . . . . . Barnstable County, MA . . . . . . . Baton Rouge, LA . . . . . . . . . . . . . Ascension Parish, LA . . . . . . . . East Baton Rouge Parish, LA . . . East Feliciana Parish, LA . . . . . . Iberville Parish, LA . . . . . . . . . . Livingston Parish, LA . . . . . . . . Pointe Coupee Parish, LA . . . . . St. Helena Parish, LA . . . . . . . . West Baton Rouge Parish, LA . . West Feliciana Parish, LA . . . . . Battle Creek, MI . . . . . . . . . . . . . Calhoun County, MI . . . . . . . . .



Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . Bay County, MI . . . . . . . . . . . . . . . . . . . . . . . Beaumont-Port Arthur, TX Hardin County, TX . . . Jefferson County, TX. . Orange County, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . Whatcom County, WA . . . . . . . . . . . . . . . . . . . Bend, OR . . . . . . . . . . . . Deschutes County, OR . Billings, MT. . . . . . . . . . . Carbon County, MT. . . . Yellowstone County, MT Binghamton, NY . . . . . . . Broome County, NY . . . Tioga County, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



189



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Birmingham-Hoover, AL Bibb County, AL . . . . Blount County, AL. . . Chilton County, AL . . Jefferson County, AL . St. Clair County, AL . Shelby County, AL . . Walker County, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,090,126 21,516 55,725 41,744 657,229 72,330 171,465 70,117 99,346 73,818 25,528 151,057 17,098 84,303 35,081 14,575 177,709 33,479 121,407 22,823 159,013 159,013 544,201 344,727 7,535 164,593 16,273 11,073 4,411,835 1,800,432 653,595 492,409 654,428 1,459,011 1,459,011 738,301 738,301 414,091 295,076 119,015 280,440 280,440 110,990 12,030 98,960 240,661 240,661 902,775 902,775 378,311 378,311 98,433 15,491 71,874 11,068 1,147,711 930,703 217,008 140,533 140,533 205,230 149,613 47,914 7,703 409,996 29,388 380,608 544,758 544,758 56,062 56,062 69,799 69,799 2004 (July 1) 1,081,722 21,290 54,973 41,377 658,468 70,275 165,463 69,876 97,885 72,563 25,322 150,597 16,925 83,901 35,104 14,667 177,297 33,465 120,910 22,922 157,847 157,847 524,789 332,545 7,379 157,883 15,962 11,020 4,418,758 1,807,863 653,621 489,979 664,263 1,462,822 1,462,822 737,447 737,447 410,626 292,346 118,280 279,551 279,551 109,047 11,884 97,163 241,436 241,436 901,819 901,819 370,829 370,829 97,569 15,427 71,047 11,095 1,153,753 935,946 217,807 138,452 138,452 204,510 149,379 47,498 7,633 410,005 29,460 380,545 514,923 514,923 55,926 55,926 68,988 68,988 20001 (estimates base) 1,051,306 19,889 51,036 39,593 662,040 64,742 143,293 70,713 94,719 69,416 25,303 151,324 16,657 83,681 35,127 15,859 175,506 33,157 120,563 21,786 150,433 150,433 464,840 300,904 6,670 131,441 15,181 10,644 4,392,340 1,812,937 650,308 472,822 689,807 1,466,394 1,466,394 723,419 723,419 389,590 277,357 112,233 269,787 269,787 104,166 11,644 92,522 231,969 231,969 882,567 882,567 335,227 335,227 93,044 14,629 67,568 10,847 1,170,111 950,265 219,846 130,794 130,794 198,889 146,571 45,417 6,901 406,934 28,836 378,098 440,888 440,888 52,457 52,457 66,533 66,533 19902 (April 1) 956,646 16,576 39,248 32,458 651,520 49,811 99,363 67,670 83,831 60,131 23,700 140,715 16,366 73,913 34,496 15,940 156,669 30,410 108,978 17,281 129,180 129,180 319,596 205,775 3,509 90,076 11,844 8,392 4,133,895 1,715,269 616,087 435,276 663,906 1,398,468 1,398,468 670,080 670,080 350,078 245,845 104,233 225,339 225,339 88,077 10,357 77,720 189,731 189,731 827,645 827,645 260,120 260,120 82,207 11,077 62,496 8,634 1,189,340 968,584 220,756 108,213 108,213 177,059 131,761 39,980 5,318 394,106 26,521 367,585 335,113 335,113 40,443 40,443 61,226 61,226 2000– 20053 38,820 1,627 4,689 2,151 −4,811 7,588 28,172 −596 4,627 4,402 225 −267 441 622 −46 −1,284 2,203 322 844 1,037 8,580 8,580 79,361 43,823 865 33,152 1,092 429 19,495 −12,505 3,287 19,587 −35,379 −7,383 −7,383 14,882 14,882 24,501 17,719 6,782 10,653 10,653 6,824 386 6,438 8,692 8,692 20,208 20,208 43,084 43,084 5,389 862 4,306 221 −22,400 −19,562 −2,838 9,739 9,739 6,341 3,042 2,497 802 3,062 552 2,510 103,870 103,870 3,605 3,605 3,266 3,266 1990– 2000 94,660 3,313 11,788 7,135 10,520 14,931 43,930 3,043 10,888 9,285 1,603 10,609 291 9,768 631 −81 18,837 2,747 11,585 4,505 21,253 21,253 145,244 95,129 3,161 41,365 3,337 2,252 258,445 97,668 34,221 37,546 25,901 67,926 67,926 53,339 53,339 39,512 31,512 8,000 44,448 44,448 16,089 1,287 14,802 42,238 42,238 54,922 54,922 75,107 75,107 10,837 3,552 5,072 2,213 −19,229 −18,319 −910 22,581 22,581 21,830 14,810 5,437 1,583 12,828 2,315 10,513 105,775 105,775 12,014 12,014 5,307 5,307 2000– 20053 3.7 8.2 9.2 5.4 −0.7 11.7 19.7 −0.8 4.9 6.3 0.9 −0.2 2.6 0.7 −0.1 −8.1 1.3 1.0 0.7 4.8 5.7 5.7 17.1 14.6 13.0 25.2 7.2 4.0 0.4 −0.7 0.5 4.1 −5.1 −0.5 −0.5 2.1 2.1 6.3 6.4 6.0 3.9 3.9 6.6 3.3 7.0 3.7 3.7 2.3 2.3 12.9 12.9 5.8 5.9 6.4 2.0 −1.9 −2.1 −1.3 7.4 7.4 3.2 2.1 5.5 11.6 0.8 1.9 0.7 23.6 23.6 6.9 6.9 4.9 4.9 1990– 2000 9.9 20.0 30.0 22.0 1.6 30.0 44.2 4.5 13.0 15.4 6.8 7.5 1.8 13.2 1.8 −0.5 12.0 9.0 10.6 26.1 16.5 16.5 45.4 46.2 90.1 45.9 28.2 26.8 6.3 5.7 5.6 8.6 3.9 4.9 4.9 8.0 8.0 11.3 12.8 7.7 19.7 19.7 18.3 12.4 19.0 22.3 22.3 6.6 6.6 28.9 28.9 13.2 32.1 8.1 25.6 −1.6 −1.9 −0.4 20.9 20.9 12.3 11.2 13.6 29.8 3.3 8.7 2.9 31.6 31.6 29.7 29.7 8.7 8.7 Net change Percent change Percent— Black or African American alone, 2003 28.1 22.8 1.2 10.8 40.7 7.9 8.2 6.4 0.3 0.3 0.2 4.4 1.6 3.7 6.0 7.9 2.0 0.2 2.8 0.3 6.6 6.6 0.7 0.8 0.1 0.6 0.1 0.3 7.5 12.9 4.0 7.4 25.5 4.0 4.0 4.7 4.7 0.7 0.7 0.7 1.0 1.0 8.0 0.6 8.9 2.9 2.9 10.7 10.7 0.7 0.7 23.5 4.8 25.9 34.2 12.6 13.9 6.8 18.7 18.7 0.8 1.0 0.3 0.2 6.7 0.5 7.2 7.6 7.6 1.7 1.7 0.9 0.9



65 years and over, 2003 12.7 11.8 13.0 12.7 13.4 12.1 8.7 15.3 13.3 12.8 14.8 11.2 16.0 8.6 15.6 10.0 10.9 15.0 9.5 12.5 9.5 9.5 9.9 9.3 10.8 10.3 15.8 12.7 12.5 12.3 14.2 11.7 11.0 12.7 12.7 13.5 13.5 10.6 10.4 11.1 8.0 8.0 10.9 14.2 10.5 10.8 10.8 13.0 13.0 10.9 10.9 13.6 10.5 14.4 12.8 15.6 15.7 15.2 13.9 13.9 10.2 9.9 11.0 12.1 15.2 14.6 15.2 23.8 23.8 15.3 15.3 12.7 12.7



Asian alone, 2003 0.9 0.1 0.2 0.3 1.1 0.2 1.4 0.2 0.5 0.5 0.4 2.5 0.2 3.9 0.4 1.5 2.8 0.3 4.0 0.2 2.8 2.8 1.6 2.0 0.3 0.9 0.5 0.6 5.4 5.6 6.8 1.1 7.6 7.6 7.6 2.8 2.8 1.4 1.3 1.6 3.7 3.7 1.3 0.1 1.5 4.5 4.5 3.8 3.8 0.5 0.5 0.5 0.1 0.6 0.4 1.6 1.8 0.8 1.2 1.2 1.8 2.3 0.3 0.2 0.6 0.2 0.6 1.0 1.0 1.6 1.6 0.5 0.5



Hispanic or Latino origin, 20034 2.1 1.3 5.9 3.3 1.9 1.2 2.6 1.1 0.7 0.7 0.8 1.3 0.6 1.6 1.1 1.3 1.5 0.8 1.8 0.7 3.2 3.2 9.9 5.1 3.4 19.9 7.5 23.5 7.0 7.7 2.1 2.7 16.5 4.8 4.8 13.2 13.2 1.2 1.3 1.1 11.8 11.8 2.9 0.6 3.2 4.6 4.6 12.9 12.9 85.7 85.7 2.7 1.1 3.3 0.8 3.4 3.7 1.7 8.8 8.8 1.0 1.1 0.6 0.4 0.9 0.6 0.9 12.2 12.2 15.6 15.6 4.9 4.9



Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . Burleigh County, ND . . . . . . . . . . . . . . . . . . . . Morton County, ND . . . . . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA . . . . Giles County, VA . . . . . . . . . . . . . . . . . Montgomery County, VA . . . . . . . . . . . . Pulaski County, VA . . . . . . . . . . . . . . . . Radford city, VA . . . . . . . . . . . . . . . . . . Bloomington, IN. . . . . . . . . . . . . . . . . . . . Greene County, IN . . . . . . . . . . . . . . . . Monroe County, IN . . . . . . . . . . . . . . . . Owen County, IN . . . . . . . . . . . . . . . . . Bloomington-Normal, IL. . . . . . . . . . . . . . . McLean County, IL . . . . . . . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . . . . . . Ada County, ID . . . . . . . . . . . . . . . . . . Boise County, ID . . . . . . . . . . . . . . . . . Canyon County, ID . . . . . . . . . . . . . . . . Gem County, ID . . . . . . . . . . . . . . . . . . Owyhee County, ID. . . . . . . . . . . . . . . . Boston-Cambridge-Quincy, MA-NH . . . . . Boston-Quincy, MA . . . . . . . . . . . . . . . . Norfolk County, MA . . . . . . . . . . . . . . Plymouth County, MA . . . . . . . . . . . . Suffolk County, MA . . . . . . . . . . . . . . Cambridge-Newton-Framingham, MA . . . . Middlesex County, MA . . . . . . . . . . . . Essex County, MA . . . . . . . . . . . . . . . . Essex County, MA. . . . . . . . . . . . . . . Rockingham County-Strafford County, NH. Rockingham County, NH . . . . . . . . . . Strafford County, NH . . . . . . . . . . . . . Boulder, CO5 . . . . . . . . . . . . . . . . . . . . . Boulder County, CO5 . . . . . . . . . . . . . . . Bowling Green, KY. . . . . . . . . . . . . . . . . . Edmonson County, KY . . . . . . . . . . . . . Warren County, KY . . . . . . . . . . . . . . . . Bremerton-Silverdale, WA . . . . . . . . . . . . . Kitsap County, WA . . . . . . . . . . . . . . . . Bridgeport-Stamford-Norwalk, CT . . . . . . . . Fairfield County, CT . . . . . . . . . . . . . . . Brownsville-Harlingen, TX . . . . . . . . . . . . . Cameron County, TX. . . . . . . . . . . . . . . Brunswick, GA . . . . . . . . . . . . . . . . . . . . Brantley County, GA . . . . . . . . . . . . . . . Glynn County, GA. . . . . . . . . . . . . . . . . McIntosh County, GA . . . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . . . . . . . . . . Erie County, NY . . . . . . . . . . . . . . . . . . Niagara County, NY . . . . . . . . . . . . . . . Burlington, NC. . . . . . . . . . . . . . . . . . . . . Alamance County, NC . . . . . . . . . . . . . . Burlington-South Burlington, VT . . . . . . . . . Chittenden County, VT . . . . . . . . . . . . . Franklin County, VT . . . . . . . . . . . . . . . Grand Isle County, VT . . . . . . . . . . . . . . Canton-Massillon, OH. . . . . . . . . . . . . . . . Carroll County, OH . . . . . . . . . . . . . . . . Stark County, OH . . . . . . . . . . . . . . . . . Cape Coral-Fort Myers, FL . . . . . . . . . . . . Lee County, FL . . . . . . . . . . . . . . . . . . Carson City, NV. . . . . . . . . . . . . . . . . . . . Carson City, NV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . Natrona County, WY . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



190



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Cedar Rapids, IA . . . . . . Benton County, IA . . . Jones County, IA . . . . Linn County, IA . . . . . Champaign-Urbana, IL . . Champaign County, IL . Ford County, IL . . . . . Piatt County, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246,412 27,000 20,509 198,903 215,742 184,905 14,157 16,680 306,435 25,703 10,356 193,559 22,374 54,443 594,899 151,673 330,368 112,858 1,521,278 25,499 150,244 196,137 796,372 162,929 190,097 188,424 90,717 24,751 17,418 15,101 40,437 492,126 60,813 16,040 63,890 310,935 27,757 12,691 85,163 85,163 9,443,356 7,882,729 5,303,683 97,665 929,113 43,838 482,113 79,514 303,990 642,813 697,401 31,876 493,297 14,456 157,772 863,226 702,682 160,544 214,185 214,185 2,070,441 49,082 23,085 5,874 106,272 8,670 87,251 8,134 24,610 153,665 15,125 44,398 350,412 190,589 806,652 196,622 243,665 70,145 13,349 147,202 12,969 2004 (July 1) 244,306 26,747 20,554 197,005 214,989 184,265 14,226 16,498 307,243 25,674 10,438 194,941 22,414 53,776 583,472 148,865 327,403 107,204 1,474,843 25,742 146,018 194,154 771,573 153,720 183,636 185,554 89,017 23,835 17,007 14,950 40,745 488,661 59,745 15,949 63,214 309,729 27,696 12,328 85,033 85,033 9,393,259 7,850,994 5,327,165 95,306 928,126 41,178 472,761 72,704 296,260 617,494 690,891 31,605 490,089 14,371 154,826 851,374 692,869 158,505 212,698 212,698 2,056,843 48,609 22,876 5,797 101,431 8,694 87,285 7,982 24,339 153,019 15,082 44,162 346,123 188,062 813,639 189,743 238,225 70,364 13,262 141,806 12,793 20001 (estimates base) 237,230 25,308 20,221 191,701 210,279 179,669 14,241 16,369 309,635 25,535 10,330 200,073 22,108 51,589 548,972 142,651 309,980 96,341 1,330,419 25,275 131,063 190,316 695,370 123,772 164,623 174,021 84,197 20,047 15,244 14,445 40,088 476,501 53,252 15,154 61,053 307,896 27,776 11,370 81,607 81,607 9,098,615 7,628,447 5,376,822 88,969 904,152 37,535 404,120 54,520 260,062 502,267 675,971 30,043 484,564 14,566 146,798 794,197 644,620 149,577 203,171 203,171 2,009,657 46,130 22,151 5,623 85,992 8,279 88,616 7,870 22,384 151,463 14,390 42,285 332,705 177,451 845,276 159,042 232,044 72,309 12,597 134,768 12,370 19902 (April 1) 210,640 22,429 19,444 168,767 202,848 173,025 14,275 15,548 307,689 25,870 9,983 207,619 21,382 42,835 506,877 128,776 295,041 83,060 1,024,690 23,474 98,935 175,093 511,481 84,210 131,497 144,151 68,172 12,429 10,297 12,778 40,475 433,210 42,464 13,147 58,340 285,536 24,860 8,863 73,142 73,142 8,182,076 6,894,440 5,105,044 77,932 781,689 32,337 317,471 39,413 183,241 357,313 643,037 24,960 475,594 13,551 128,932 644,599 516,418 128,181 182,120 182,120 1,844,915 38,835 19,580 5,315 57,589 7,766 83,866 5,393 15,737 142,031 12,036 34,966 291,479 150,167 866,228 113,927 189,279 68,941 10,361 100,498 9,479 2000– 20053 9,182 1,692 288 7,202 5,463 5,236 −84 311 −3,200 168 26 −6,514 266 2,854 45,927 9,022 20,388 16,517 190,859 224 19,181 5,821 101,002 39,157 25,474 14,403 6,520 4,704 2,174 656 349 15,625 7,561 886 2,837 3,039 −19 1,321 3,556 3,556 344,741 254,282 −73,139 8,696 24,961 6,303 77,993 24,994 43,928 140,546 21,430 1,833 8,733 −110 10,974 69,029 58,062 10,967 11,014 11,014 60,784 2,952 934 251 20,280 391 −1,365 264 2,226 2,202 735 2,113 17,707 13,138 −38,624 37,580 11,621 −2,164 752 12,434 599 1990– 2000 26,590 2,879 777 22,934 7,431 6,644 −34 821 1,946 −335 347 −7,546 726 8,754 42,095 13,875 14,939 13,281 305,729 1,801 32,128 15,223 183,889 39,562 33,126 29,870 16,025 7,618 4,947 1,667 −387 43,291 10,788 2,007 2,713 22,360 2,916 2,507 8,465 8,465 916,539 734,007 271,778 11,037 122,463 5,198 86,649 15,107 76,821 144,954 32,934 5,083 8,970 1,015 17,866 149,598 128,202 21,396 21,051 21,051 164,742 7,295 2,571 308 28,403 513 4,750 2,477 6,647 9,432 2,354 7,319 41,226 27,284 −20,952 45,115 42,765 3,368 2,236 34,270 2,891 2000– 20053 3.9 6.7 1.4 3.8 2.6 2.9 −0.6 1.9 −1.0 0.7 0.3 −3.3 1.2 5.5 8.4 6.3 6.6 17.1 14.3 0.9 14.6 3.1 14.5 31.6 15.5 8.3 7.7 23.5 14.3 4.5 0.9 3.3 14.2 5.8 4.6 1.0 −0.1 11.6 4.4 4.4 3.8 3.3 −1.4 9.8 2.8 16.8 19.3 45.8 16.9 28.0 3.2 6.1 1.8 −0.8 7.5 8.7 9.0 7.3 5.4 5.4 3.0 6.4 4.2 4.5 23.6 4.7 −1.5 3.4 9.9 1.5 5.1 5.0 5.3 7.4 −4.6 23.6 5.0 −3.0 6.0 9.2 4.8 1990– 2000 12.6 12.8 4.0 13.6 3.7 3.8 −0.2 5.3 0.6 −1.3 3.5 −3.6 3.4 20.4 8.3 10.8 5.1 16.0 29.8 7.7 32.5 8.7 36.0 47.0 25.2 20.7 23.5 61.3 48.0 13.0 −1.0 10.0 25.4 15.3 4.7 7.8 11.7 28.3 11.6 11.6 11.2 10.6 5.3 14.2 15.7 16.1 27.3 38.3 41.9 40.6 5.1 20.4 1.9 7.5 13.9 23.2 24.8 16.7 11.6 11.6 8.9 18.8 13.1 5.8 49.3 6.6 5.7 45.9 42.2 6.6 19.6 20.9 14.1 18.2 −2.4 39.6 22.6 4.9 21.6 34.1 30.5 Net change Percent change Percent— Black or African American alone, 2003 2.5 0.3 2.0 2.8 9.7 11.2 0.4 0.4 4.8 0.7 0.1 7.2 (Z) 0.9 31.6 28.5 34.8 25.8 23.2 48.7 13.9 14.3 29.4 11.9 19.8 13.5 9.5 17.6 6.5 14.2 23.1 14.0 1.2 1.1 3.5 20.6 4.2 0.8 3.1 3.1 18.5 19.7 26.4 4.8 3.6 0.4 5.7 2.4 0.8 10.4 18.5 0.4 25.5 0.2 1.4 6.9 7.2 5.5 1.5 1.5 11.5 0.6 (Z) 0.5 2.0 0.6 1.9 1.7 0.3 4.3 0.5 1.0 5.8 0.9 24.0 2.9 20.2 26.1 9.7 19.9 2.0



65 years and over, 2003 13.0 14.6 15.9 12.5 10.7 9.7 18.1 16.0 15.2 13.3 14.0 16.6 13.3 12.1 10.7 8.9 11.9 9.5 9.6 14.1 11.0 12.7 8.5 8.7 10.4 12.4 11.9 13.6 10.1 17.0 12.1 13.6 12.1 12.0 13.7 13.9 13.4 12.2 11.7 11.7 10.7 10.8 11.6 9.5 10.0 12.0 8.0 8.7 8.3 8.0 12.5 12.7 13.0 12.8 11.1 9.1 8.7 11.1 15.0 15.0 11.6 11.3 13.0 14.3 8.1 13.3 12.6 10.3 9.1 10.8 10.3 12.0 10.7 9.9 13.4 9.2 9.6 10.1 16.9 8.2 14.6



Asian alone, 2003 1.4 0.3 0.3 1.6 6.5 7.5 0.4 0.3 0.8 0.1 – 1.0 0.1 0.7 1.6 2.2 1.4 1.3 2.4 0.7 1.2 1.0 3.7 0.8 1.2 2.8 4.0 0.4 0.5 0.2 3.5 1.1 0.9 0.4 0.4 1.5 0.2 0.3 1.0 1.0 4.9 5.3 5.4 2.5 9.5 0.4 2.5 1.4 2.1 2.9 0.9 0.3 0.9 0.3 1.1 4.3 5.0 1.2 3.8 3.8 1.5 0.4 0.3 0.2 1.7 0.1 0.6 0.3 0.4 0.8 0.1 0.2 1.9 0.9 1.9 2.2 1.7 1.1 0.3 2.1 1.5



Hispanic or Latino origin, 20034 1.4 0.7 1.1 1.5 3.2 3.5 1.6 0.8 0.5 0.5 0.4 0.5 0.6 0.5 2.4 2.5 2.5 2.1 6.5 1.1 6.6 4.1 8.0 7.8 2.4 2.5 3.0 1.5 1.6 2.2 2.6 1.6 1.2 1.0 0.9 2.0 0.8 0.8 11.6 11.6 17.9 18.9 21.5 7.4 10.7 5.0 26.2 9.9 9.2 10.7 10.3 3.1 12.6 3.4 5.1 15.0 16.6 7.7 11.3 11.3 1.2 0.6 0.5 0.4 2.2 0.6 1.0 1.4 1.1 1.3 0.7 0.3 1.7 0.9 1.2 1.2 3.9 4.5 0.9 4.1 1.1



Charleston, WV . . . . . . . . . . . . . . . Boone County, WV . . . . . . . . . . . Clay County, WV . . . . . . . . . . . . Kanawha County, WV . . . . . . . . . Lincoln County, WV . . . . . . . . . . Putnam County, WV . . . . . . . . . . Charleston-North Charleston, SC . . . Berkeley County, SC . . . . . . . . . . Charleston County, SC . . . . . . . . Dorchester County, SC . . . . . . . . Charlotte-Gastonia-Concord, NC-SC . Anson County, NC . . . . . . . . . . . Cabarrus County, NC . . . . . . . . . Gaston County, NC. . . . . . . . . . . Mecklenburg County, NC . . . . . . . Union County, NC. . . . . . . . . . . . York County, SC. . . . . . . . . . . . .



Charlottesville, VA . . . . . . . . . . . . . . Albemarle County, VA . . . . . . . . . . Fluvanna County, VA. . . . . . . . . . . Greene County, VA . . . . . . . . . . . . Nelson County, VA . . . . . . . . . . . . Charlottesville city, VA . . . . . . . . . . Chattanooga, TN-GA . . . . . . . . . . . . Catoosa County, GA . . . . . . . . . . . Dade County, GA . . . . . . . . . . . . . Walker County, GA . . . . . . . . . . . . Hamilton County, TN . . . . . . . . . . . Marion County, TN . . . . . . . . . . . . Sequatchie County, TN . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . . Laramie County, WY . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI . . Chicago-Naperville-Joliet, IL . . . . . . Cook County, IL . . . . . . . . . . . . DeKalb County, IL . . . . . . . . . . . DuPage County, IL . . . . . . . . . . Grundy County, IL . . . . . . . . . . . Kane County, IL . . . . . . . . . . . . Kendall County, IL . . . . . . . . . . . McHenry County, IL . . . . . . . . . . Will County, IL . . . . . . . . . . . . . Gary, IN . . . . . . . . . . . . . . . . . . . Jasper County, IN . . . . . . . . . . . Lake County, IN . . . . . . . . . . . . Newton County, IN . . . . . . . . . . Porter County, IN . . . . . . . . . . . Lake County-Kenosha County, IL-WI Lake County, IL . . . . . . . . . . . . Kenosha County, WI . . . . . . . . . Chico, CA. . . . . . . . . . . . . . . . Butte County, CA . . . . . . . . . Cincinnati-Middletown, OH-KY-IN Dearborn County, IN . . . . . . . Franklin County, IN . . . . . . . . Ohio County, IN . . . . . . . . . . Boone County, KY . . . . . . . . Bracken County, KY . . . Campbell County, KY . . Gallatin County, KY. . . . Grant County, KY . . . . . Kenton County, KY . . . . Pendleton County, KY . . Brown County, OH . . . . Butler County, OH . . . . Clermont County, OH . . Hamilton County, OH . . Warren County, OH. . . . Clarksville, TN-KY . . . . . . Christian County, KY . . . Trigg County, KY . . . . . Montgomery County, TN Stewart County, TN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



191



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Cleveland, TN . . . . . . . . . . Bradley County, TN. . . . . Polk County, TN . . . . . . . Cleveland-Elyria-Mentor, OH Cuyahoga County, OH. . . Geauga County, OH . . . . Lake County, OH . . . . . . Lorain County, OH . . . . . Medina County, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108,036 92,092 15,944 2,126,318 1,335,317 95,218 232,466 296,307 167,010 127,668 127,668 189,735 156,305 17,238 16,192 587,500 565,582 21,918 153,283 143,326 9,957 689,878 15,100 24,047 56,486 235,272 340,078 18,895 284,299 49,326 14,679 27,779 7,244 185,271 73,540 73,540 1,708,625 150,268 138,423 1,090,771 154,806 41,295 34,322 52,989 45,751 413,553 24,640 319,704 69,209 78,640 78,640 100,667 73,639 27,028 5,819,475 3,893,123 659,457 2,305,454 5,480 554,642 133,474 82,543 89,129 62,944 1,926,352 146,376 102,801 1,620,479 56,696 131,701 40,812 90,889 82,344 82,344 107,997 61,854 46,143 376,309 50,591 16,912 147,808 160,998 2004 (July 1) 106,984 91,044 15,940 2,133,778 1,349,047 94,473 232,034 293,532 164,692 122,447 122,447 188,745 155,662 17,073 16,010 579,416 557,752 21,664 151,144 141,216 9,928 680,039 15,248 24,144 55,374 230,861 335,597 18,815 284,453 49,164 15,646 26,847 7,134 185,662 72,853 72,853 1,690,721 142,747 135,913 1,087,462 152,792 41,003 34,076 51,999 44,729 409,645 23,999 317,317 68,329 78,383 78,383 101,025 73,999 27,026 5,696,045 3,810,195 628,426 2,291,071 5,528 530,982 128,631 81,688 85,447 58,422 1,885,850 143,231 100,170 1,587,019 55,430 129,551 40,326 89,225 82,647 82,647 108,263 61,790 46,473 375,293 50,568 16,991 147,609 160,125 20001 (estimates base) 104,015 87,965 16,050 2,148,010 1,393,845 90,895 227,511 284,664 151,095 108,685 108,685 184,885 152,415 16,470 16,000 537,484 516,929 20,555 145,666 135,454 10,212 647,261 15,184 23,454 52,647 216,014 320,781 19,181 281,768 49,756 14,882 23,695 7,144 186,291 71,435 71,435 1,612,837 109,989 122,881 1,068,869 145,621 40,213 31,628 52,727 40,909 403,280 22,497 313,645 67,138 78,139 78,139 102,008 74,930 27,078 5,161,518 3,451,248 491,777 2,218,842 5,327 432,962 111,360 76,596 71,310 43,074 1,710,270 126,811 88,494 1,446,172 48,793 120,061 36,503 83,558 83,924 83,924 110,156 61,745 48,411 376,054 51,020 16,957 149,388 158,689 19902 (April 1) 87,355 73,712 13,643 2,102,248 1,412,140 81,129 215,499 271,126 122,354 69,795 69,795 150,998 121,862 13,625 15,511 409,482 397,014 12,468 122,010 112,379 9,631 548,936 12,753 22,295 43,599 167,611 286,321 16,357 266,452 46,860 16,934 17,788 5,590 179,280 63,657 63,657 1,405,168 66,929 103,472 961,437 128,300 37,068 27,749 48,244 31,969 367,786 17,892 291,145 58,749 70,811 70,811 101,643 74,946 26,697 3,989,294 2,622,562 264,036 1,852,810 4,857 273,525 85,167 64,343 52,220 25,604 1,366,732 97,165 64,785 1,170,103 34,679 98,609 26,147 72,462 88,257 88,257 108,728 55,672 53,056 368,145 51,159 17,290 148,723 150,973 2000– 20053 4,021 4,127 −106 −21,692 −58,528 4,323 4,955 11,643 15,915 18,983 18,983 4,850 3,890 768 192 50,016 48,653 1,363 7,617 7,872 −255 42,617 −84 593 3,839 19,258 19,297 −286 2,531 −430 −203 4,084 100 −1,020 2,105 2,105 95,788 40,279 15,542 21,902 9,185 1,082 2,694 262 4,842 10,273 2,143 6,059 2,071 501 501 −1,341 −1,291 −50 657,957 441,875 167,680 86,612 153 121,680 22,114 5,947 17,819 19,870 216,082 19,565 14,307 174,307 7,903 11,640 4,309 7,331 −1,580 −1,580 −2,159 109 −2,268 255 −429 −45 −1,580 2,309 1990– 2000 16,660 14,253 2,407 45,762 −18,295 9,766 12,012 13,538 28,741 38,890 38,890 33,887 30,553 2,845 489 128,002 119,915 8,087 23,656 23,075 581 98,325 2,431 1,159 9,048 48,403 34,460 2,824 15,316 2,896 −2,052 5,907 1,554 7,011 7,778 7,778 207,669 43,060 19,409 107,432 17,321 3,145 3,879 4,483 8,940 35,494 4,605 22,500 8,389 7,328 7,328 365 −16 381 1,172,224 828,686 227,741 366,032 470 159,437 26,193 12,253 19,090 17,470 343,538 29,646 23,709 276,069 14,114 21,452 10,356 11,096 −4,333 −4,333 1,428 6,073 −4,645 7,909 −139 −333 665 7,716 2000– 20053 3.9 4.7 −0.7 −1.0 −4.2 4.8 2.2 4.1 10.5 17.5 17.5 2.6 2.6 4.7 1.2 9.3 9.4 6.6 5.2 5.8 −2.5 6.6 −0.6 2.5 7.3 8.9 6.0 −1.5 0.9 −0.9 −1.4 17.2 1.4 −0.5 2.9 2.9 5.9 36.6 12.6 2.0 6.3 2.7 8.5 0.5 11.8 2.5 9.5 1.9 3.1 0.6 0.6 −1.3 −1.7 −0.2 12.7 12.8 34.1 3.9 2.9 28.1 19.9 7.8 25.0 46.1 12.6 15.4 16.2 12.1 16.2 9.7 11.8 8.8 −1.9 −1.9 −2.0 0.2 −4.7 0.1 −0.8 −0.3 −1.1 1.5 1990– 2000 19.1 19.3 17.6 2.2 −1.3 12.0 5.6 5.0 23.5 55.7 55.7 22.4 25.1 20.9 3.2 31.3 30.2 64.9 19.4 20.5 6.0 17.9 19.1 5.2 20.8 28.9 12.0 17.3 5.7 6.2 −12.1 33.2 27.8 3.9 12.2 12.2 14.8 64.3 18.8 11.2 13.5 8.5 14.0 9.3 28.0 9.7 25.7 7.7 14.3 10.3 10.3 0.4 (Z) 1.4 29.4 31.6 86.3 19.8 9.7 58.3 30.8 19.0 36.6 68.2 25.1 30.5 36.6 23.6 40.7 21.8 39.6 15.3 −4.9 −4.9 1.3 10.9 −8.8 2.1 −0.3 −1.9 0.4 5.1 Net change Percent change Percent— Black or African American alone, 2003 3.5 4.1 0.5 19.6 28.4 1.3 2.2 8.6 0.9 0.3 0.3 12.2 10.8 14.5 24.1 6.9 7.1 0.7 8.6 8.7 6.7 34.2 47.6 59.5 26.3 13.7 47.4 29.5 40.3 42.6 29.6 18.3 33.6 44.1 1.7 1.7 13.6 3.0 4.5 19.1 2.2 6.4 0.4 5.1 2.9 3.5 1.6 4.1 1.9 0.9 0.9 4.7 5.3 2.9 14.0 15.2 5.9 20.7 8.2 6.4 8.3 9.1 10.1 4.1 11.6 2.6 1.9 13.3 1.1 2.8 0.9 3.6 11.0 11.0 33.0 23.7 45.1 6.1 1.3 0.5 8.1 6.3



65 years and over, 2003 12.7 12.3 14.9 14.4 15.3 12.9 14.4 12.6 10.8 12.9 12.9 8.5 7.0 16.0 16.2 8.8 8.8 8.4 9.2 8.7 16.0 10.6 13.7 13.2 12.7 10.7 9.7 14.2 11.2 13.5 1.5 11.5 10.4 11.6 12.7 12.7 10.0 8.0 11.1 9.7 12.0 11.4 11.5 11.6 9.4 11.7 20.2 11.3 10.8 10.6 10.6 17.1 17.8 15.0 7.8 7.4 5.6 8.1 17.4 5.0 8.9 12.2 9.9 8.1 8.5 9.4 10.3 8.3 10.3 9.8 8.5 10.4 16.1 16.1 16.6 14.1 19.9 14.0 16.1 16.0 15.2 11.9



Asian alone, 2003 0.7 0.8 0.1 1.7 2.2 0.5 1.1 0.7 0.8 0.5 0.5 3.4 4.0 0.2 0.3 2.8 2.9 0.7 3.2 3.4 0.1 1.4 0.1 0.4 0.4 1.1 2.0 (Z) 1.4 0.5 2.0 0.5 0.3 1.7 2.3 2.3 2.9 3.1 0.9 3.8 0.7 0.6 0.3 0.2 0.7 1.2 2.5 1.3 0.6 5.2 5.2 0.5 0.5 0.4 4.3 4.8 8.7 4.2 0.2 5.2 0.4 0.6 0.6 1.6 3.5 0.6 0.4 4.0 0.3 0.8 0.2 1.1 0.6 0.6 0.4 0.2 0.7 1.4 0.3 0.2 1.2 2.0



Hispanic or Latino origin, 20034 2.1 2.3 0.9 3.5 3.5 0.5 2.1 7.0 1.0 2.6 2.6 18.7 19.4 15.8 15.0 11.6 11.9 4.3 1.8 1.9 0.7 2.6 1.6 1.2 1.9 2.3 2.7 10.2 3.5 2.0 11.0 1.3 6.9 3.3 2.7 2.7 2.1 1.1 1.0 2.7 0.7 0.7 0.6 0.7 0.9 55.1 21.7 58.4 51.6 5.1 5.1 0.7 0.8 0.6 24.3 26.1 11.6 34.3 3.4 14.3 20.2 9.5 12.7 12.5 20.8 13.6 7.6 22.5 12.0 20.0 9.7 24.7 3.3 3.3 1.5 1.4 1.6 6.1 3.2 1.3 9.8 4.1



Coeur d’Alene, ID . . . . . . . . . . . . . . . . . . . . . . . Kootenai County, ID . . . . . . . . . . . . . . . . . . . . College Station-Bryan, TX . Brazos County, TX . . . . Burleson County, TX . . . Robertson County, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . El Paso County, CO . . . . . . . . . . . . . . . . . . . . Teller County, CO . . . . . . . . . . . . . . . . . . . . . . Columbia, MO . . . . . . . . . . . Boone County, MO . . . . . . Howard County, MO . . . . . Columbia, SC . . . . . . . . . . . Calhoun County, SC . . . . . Fairfield County, SC . . . . . Kershaw County, SC . . . . . Lexington County, SC . . . . Richland County, SC . . . . . Saluda County, SC . . . . . . Columbus, GA-AL . . . . . . . . Russell County, AL . . . . . . Chattahoochee County, GA Harris County, GA . . . . . . Marion County, GA . . . . . . Muscogee County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Columbus, IN . . . . . . . . . . . . . . . Bartholomew County, IN . . . . . . Columbus, OH . . . . . . . . . . . . . . Delaware County, OH . . . . . . . . Fairfield County, OH . . . . . . . . . Franklin County, OH . . . . . . . . . Licking County, OH . . . . . . . . . . Madison County, OH . . . . . . . . . Morrow County, OH . . . . . . . . . Pickaway County, OH . . . . . . . . Union County, OH . . . . . . . . . . Corpus Christi, TX . . . . . . . . . . . . Aransas County, TX . . . . . . . . . Nueces County, TX. . . . . . . . . . San Patricio County, TX. . . . . . . Corvallis, OR . . . . . . . . . . . . . . . Benton County, OR. . . . . . . . . . Cumberland, MD-WV . . . . . . . . . . Allegany County, MD. . . . . . . . . Mineral County, WV . . . . . . . . . Dallas-Fort Worth-Arlington, TX . . Dallas-Plano-Irving, TX . . . . . . . Collin County, TX . . . . . . . . . Dallas County, TX . . . . . . . . . Delta County, TX. . . . . . . . . . Denton County, TX . . . . . . . . Ellis County, TX . . . . . . . . . . Hunt County, TX . . . . . . . . . . Kaufman County, TX . . . . . . . Rockwall County, TX . . . . . . . Fort Worth-Arlington, TX . . . . . . Johnson County, TX . . . . . . . Parker County, TX. . . . . . . . . Tarrant County, TX . . . . . . . . Wise County, TX . . . . . . . . . . Dalton, GA . . . . . . . . . . . . . . . . . Murray County, GA . . . . . . . . . . Whitfield County, GA . . . . . . . . . Danville, IL . . . . . . . . . . . . . . . . . Vermilion County, IL . . . . . . . . . Danville, VA . . . . . . . . . . . . . . . . Pittsylvania County, VA . . . . . . . Danville city, VA . . . . . . . . . . . . Davenport-Moline-Rock Island, IA-IL Henry County, IL . . . . . . . . . . . Mercer County, IL . . . . . . . . . . . Rock Island County, IL . . . . . . . Scott County, IA . . . . . . . . . . . . See footnotes at end of table.



192



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Dayton, OH . . . . . . . . . . Greene County, OH . . . Miami County, OH . . . . Montgomery County, OH Preble County, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 843,577 151,996 101,619 547,435 42,527 148,345 34,605 113,740 110,167 110,167 490,055 490,055 2,359,994 399,426 529,090 43,478 9,197 557,917 249,416 22,788 4,932 526,801 16,949 522,454 51,762 11,547 15,158 401,006 42,981 4,488,335 1,998,217 1,998,217 2,490,118 93,361 181,517 829,453 1,214,361 171,426 136,594 25,735 16,610 94,249 143,968 143,968 91,631 91,631 275,413 34,026 197,179 44,208 456,187 58,002 242,582 118,386 37,217 154,039 59,950 94,089 155,823 155,823 110,646 96,947 13,699 195,362 195,362 89,512 89,512 721,598 721,598 280,446 280,446 335,180 335,180 2004 (July 1) 844,850 151,991 100,786 549,553 42,520 147,400 34,470 112,930 110,502 110,502 478,951 478,951 2,326,310 388,064 522,346 42,456 9,173 555,991 237,551 22,455 4,866 526,648 16,760 512,340 49,455 11,550 14,905 394,031 42,399 4,489,523 2,013,771 2,013,771 2,475,752 92,368 177,271 822,965 1,212,181 170,967 135,011 25,562 16,535 92,914 139,118 139,118 91,079 91,079 275,780 33,610 198,135 44,035 450,260 56,861 239,468 117,141 36,790 152,989 58,867 94,122 152,345 152,345 109,286 95,788 13,498 191,629 191,629 89,952 89,952 712,617 712,617 280,844 280,844 331,567 331,567 20001 (estimates base) 848,153 147,886 98,868 559,062 42,337 145,867 34,803 111,064 114,706 114,706 443,343 443,343 2,179,320 347,963 488,896 39,198 9,322 553,693 175,766 19,872 4,757 525,330 14,523 481,398 40,750 11,353 14,019 374,605 40,671 4,452,557 2,061,162 2,061,162 2,391,395 87,904 156,951 788,149 1,194,156 164,235 130,861 25,767 16,310 88,784 126,700 126,700 89,156 89,156 275,486 31,671 200,528 43,287 423,803 49,329 223,314 115,537 35,623 148,337 55,205 93,132 142,361 142,361 107,543 94,170 13,373 182,791 182,791 91,070 91,070 679,622 679,622 280,843 280,843 322,977 322,977 19902 (April 1) 843,835 136,731 93,182 573,809 40,113 131,556 31,513 100,043 117,206 117,206 370,737 370,737 1,650,489 265,038 391,511 24,638 7,619 467,610 60,391 9,646 3,070 438,430 7,174 416,346 29,755 10,935 12,483 327,140 36,033 4,248,699 2,111,687 2,111,687 2,137,012 74,768 115,645 717,400 1,083,592 145,607 120,352 23,647 15,374 81,331 110,993 110,993 86,403 86,403 269,230 29,259 198,213 41,758 344,645 38,759 181,855 93,851 30,180 137,543 52,360 85,183 109,303 109,303 100,919 89,240 11,679 156,198 156,198 95,195 95,195 591,610 591,610 275,572 275,572 282,912 282,912 2000– 20053 −4,576 4,110 2,751 −11,627 190 2,478 −198 2,676 −4,539 −4,539 46,712 46,712 180,674 51,463 40,194 4,280 −125 4,224 73,650 2,916 175 1,471 2,426 41,056 11,012 194 1,139 26,401 2,310 35,778 −62,945 −62,945 98,723 5,457 24,566 41,304 20,205 7,191 5,733 −32 300 5,465 17,268 17,268 2,475 2,475 −73 2,355 −3,349 921 32,384 8,673 19,268 2,849 1,594 5,702 4,745 957 13,462 13,462 3,103 2,777 326 12,571 12,571 −1,558 −1,558 41,976 41,976 −397 −397 12,203 12,203 1990– 2000 4,318 11,155 5,686 −14,747 2,224 14,311 3,290 11,021 −2,500 −2,500 72,606 72,606 528,831 82,925 97,385 14,560 1,703 86,083 115,375 10,226 1,687 86,900 7,349 65,052 10,995 418 1,536 47,465 4,638 203,858 −50,525 −50,525 254,383 13,136 41,306 70,749 110,564 18,628 10,509 2,120 936 7,453 15,707 15,707 2,753 2,753 6,256 2,412 2,315 1,529 79,158 10,570 41,459 21,686 5,443 10,794 2,845 7,949 33,058 33,058 6,624 4,930 1,694 26,593 26,593 −4,125 −4,125 88,012 88,012 5,271 5,271 40,065 40,065 2000– 20053 −0.5 2.8 2.8 −2.1 0.4 1.7 −0.6 2.4 −4.0 −4.0 10.5 10.5 8.3 14.8 8.2 10.9 −1.3 0.8 41.9 14.7 3.7 0.3 16.7 8.5 27.0 1.7 8.1 7.0 5.7 0.8 −3.1 −3.1 4.1 6.2 15.7 5.2 1.7 4.4 4.4 −0.1 1.8 6.2 13.6 13.6 2.8 2.8 (Z) 7.4 −1.7 2.1 7.6 17.6 8.6 2.5 4.5 3.8 8.6 1.0 9.5 9.5 2.9 2.9 2.4 6.9 6.9 −1.7 −1.7 6.2 6.2 −0.1 −0.1 3.8 3.8 1990– 2000 0.5 8.2 6.1 −2.6 5.5 10.9 10.4 11.0 −2.1 −2.1 19.6 19.6 32.0 31.3 24.9 59.1 22.4 18.4 191.0 106.0 55.0 19.8 102.4 15.6 37.0 3.8 12.3 14.5 12.9 4.8 −2.4 −2.4 11.9 17.6 35.7 9.9 10.2 12.8 8.7 9.0 6.1 9.2 14.2 14.2 3.2 3.2 2.3 8.2 1.2 3.7 23.0 27.3 22.8 23.1 18.0 7.8 5.4 9.3 30.2 30.2 6.6 5.5 14.5 17.0 17.0 −4.3 −4.3 14.9 14.9 1.9 1.9 14.2 14.2 Net change Percent change Percent— Black or African American alone, 2003 14.5 6.2 1.9 20.2 0.4 11.9 12.7 11.6 14.5 14.5 10.0 10.0 5.8 3.2 9.3 1.0 0.5 11.3 1.3 0.9 0.6 1.0 0.5 4.0 0.9 0.1 0.1 5.0 0.3 23.0 42.4 42.4 7.0 0.9 0.6 4.1 11.1 2.1 23.5 10.6 31.5 25.6 20.7 20.7 1.1 1.1 0.9 1.1 0.9 0.6 28.7 15.4 39.4 13.5 28.6 0.4 0.3 0.6 4.3 4.3 11.4 12.6 3.1 5.1 5.1 6.5 6.5 2.8 2.8 6.3 6.3 0.9 0.9



65 years and over, 2003 13.5 12.0 13.5 14.0 13.7 12.6 12.4 12.7 15.7 15.7 21.3 21.3 9.0 7.9 9.0 6.6 7.6 10.9 4.2 6.4 6.1 10.3 7.7 11.3 9.9 19.9 13.8 11.0 12.0 11.8 11.7 11.7 11.9 9.9 8.8 13.5 11.4 12.1 14.8 16.9 16.5 13.9 12.1 12.1 14.8 14.8 15.4 14.9 15.8 14.2 10.2 14.2 9.4 9.0 13.7 13.1 14.4 12.3 10.3 10.3 10.9 10.2 15.3 10.8 10.8 15.5 15.5 10.1 10.1 14.2 14.2 13.5 13.5



Asian alone, 2003 1.6 2.4 1.1 1.6 0.3 0.4 0.1 0.5 0.8 0.8 1.2 1.2 3.4 3.4 4.7 4.5 0.8 3.2 3.3 0.5 0.9 2.6 0.5 2.7 1.4 0.2 0.2 3.2 0.4 2.9 2.1 2.1 3.5 0.5 0.7 2.8 5.1 0.4 0.5 0.2 (Z) 0.7 1.8 1.8 0.7 0.7 0.7 0.5 0.7 0.8 3.6 1.5 3.7 5.2 0.2 2.2 1.1 2.8 2.1 2.1 1.9 2.1 0.2 1.1 1.1 1.0 1.0 1.0 1.0 0.7 0.7 2.4 2.4



Hispanic or Latino origin, 20034 1.2 1.3 0.8 1.3 0.5 3.4 1.2 4.1 1.1 1.1 7.9 7.9 20.3 31.7 14.5 10.5 4.0 34.8 6.0 4.7 3.8 11.1 4.7 4.5 5.5 1.4 0.8 5.0 1.1 3.1 4.2 4.2 2.3 3.4 1.4 1.8 2.6 2.3 1.5 1.9 1.8 1.4 3.5 3.5 1.2 1.2 0.8 0.9 0.8 0.8 8.0 10.9 9.8 5.0 2.2 0.8 0.7 0.9 74.7 74.7 2.9 3.2 1.1 10.7 10.7 2.2 2.2 81.3 81.3 2.2 2.2 5.1 5.1



Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . Lawrence County, AL . . . . . . . . . . . . . . . . . . . Morgan County, AL . . . . . . . . . . . . . . . . . . . . . Decatur, IL . . . . . . . . . . . . . . . . . . . . . . Macon County, IL . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, FL Volusia County, FL . . . . . . . . . . . . . . . Denver-Aurora, CO5 . . . . . . . . . . . . . . . . Adams County, CO5 . . . . . . . . . . . . . . Arapahoe County, CO . . . . . . . . . . . . . Broomfield County, CO5 . . . . . . . . . . . . Clear Creek County, CO . . . . . . . . . . . Denver County, CO. . . . . . . . . . . . . . . Douglas County, CO . . . . . . . . . . . . . . Elbert County, CO . . . . . . . . . . . . . . . Gilpin County, CO. . . . . . . . . . . . . . . . Jefferson County, CO5 . . . . . . . . . . . . . Park County, CO . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . . . . . . . . . . . Dallas County, IA . . . . . . . . . . . . . . . . Guthrie County, IA . . . . . . . . . . . . . . . Madison County, IA. . . . . . . . . . . . . . . Polk County, IA . . . . . . . . . . . . . . . . . Warren County, IA . . . . . . . . . . . . . . . Detroit-Warren-Livonia, MI. . . . . . . . . . . Detroit-Livonia-Dearborn, MI . . . . . . . . . Wayne County, MI . . . . . . . . . . . . . . Warren-Farmington Hills-Troy, MI. . . . . . Lapeer County, MI. . . . . . . . . . . . . . Livingston County, MI. . . . . . . . . . . . Macomb County, MI. . . . . . . . . . . . . Oakland County, MI . . . . . . . . . . . . . St. Clair County, MI . . . . . . . . . . . . . Dothan, AL . . . . . . . . . . . . . . . . . . . . . . Geneva County, AL. . . . . . . . . . . . . . . Henry County, AL . . . . . . . . . . . . . . . . Houston County, AL . . . . . . . . . . . . . . Dover, DE . . . . . . . . . . . . . . . . . . . . . . Kent County, DE . . . . . . . . . . . . . . . . Dubuque, IA . . . . . . . . . . . . . . . . . . . . . Dubuque County, IA . . . . . . . . . . . . . . Duluth, MN-WI . . . . . . . . . . . . . . . . . . . Carlton County, MN . . . . . . . . . . . . . . St. Louis County, MN . . . . . . . . . . . . . Douglas County, WI . . . . . . . . . . . . . . Durham, NC . . . . . . . . . . . . . . . . . . . . . Chatham County, NC . . . . . . . . . . . . . Durham County, NC . . . . . . . . . . . . . . Orange County, NC . . . . . . . . . . . . . . Person County, NC . . . . . . . . . . . . . . . Eau Claire, WI. . . . . . . . . . . . . . . . . . . . Chippewa County, WI . . . . . . . . . . . . . Eau Claire County, WI . . . . . . . . . . . . . El Centro, CA . . . . . . . . . . . . . . . . . . . . Imperial County, CA . . . . . . . . . . . . . . Elizabethtown, KY . . . . . . . . . . . . . . . . . Hardin County, KY . . . . . . . . . . . . . . . Larue County, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . Elkhart County, IN . . . . . . . . . . . . . . . . . . . . . Elmira, NY . . . . . . . . . Chemung County, NY El Paso, TX . . . . . . . . El Paso County, TX . Erie, PA . . . . . . . . . . . Erie County, PA . . . . Eugene-Springfield, OR Lane County, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



193



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Evansville, IN-KY . . . . . . . . . . . . . . Gibson County, IN . . . . . . . . . . . Posey County, IN . . . . . . . . . . . . Vanderburgh County, IN. . . . . . . . Warrick County, IN . . . . . . . . . . . Henderson County, KY . . . . . . . . Webster County, KY . . . . . . . . . . Fairbanks, AK . . . . . . . . . . . . . . . . Fairbanks North Star Borough, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349,543 33,408 26,852 173,187 56,362 45,573 14,161 87,560 87,560 184,857 53,838 131,019 126,208 126,208 345,536 304,520 41,016 405,101 186,938 14,962 180,357 22,844 123,866 123,866 443,883 443,883 198,443 67,346 131,097 142,351 54,660 87,691 99,337 99,337 271,927 271,927 284,994 57,630 18,218 118,750 49,528 40,868 182,172 182,172 404,414 344,006 28,085 32,323 877,584 877,584 103,189 103,189 240,254 223,852 16,402 165,771 165,771 128,572 65,548 63,024 114,448 114,448 97,073 31,133 65,940 129,872 129,872 771,185 59,892 64,608 596,666 50,019 2004 (July 1) 347,833 33,241 26,891 172,898 55,350 45,363 14,090 86,904 86,904 182,649 53,066 129,583 124,196 124,196 346,136 306,943 39,193 390,944 179,609 14,670 174,265 22,400 122,687 122,687 443,497 443,497 197,273 67,588 129,685 142,194 54,728 87,466 98,648 98,648 268,960 268,960 282,006 56,641 18,025 117,632 49,155 40,553 180,910 180,910 401,750 341,816 28,025 31,909 865,620 865,620 103,096 103,096 238,489 222,568 15,921 160,788 160,788 127,774 65,029 62,745 114,215 114,215 97,024 31,010 66,014 127,281 127,281 766,202 59,240 64,276 592,999 49,687 20001 (estimates base) 342,815 32,500 27,061 171,922 52,383 44,829 14,120 82,840 82,840 174,367 51,229 123,138 113,801 113,801 336,613 302,967 33,646 347,045 153,404 14,243 157,717 21,681 116,320 116,320 436,148 436,148 193,155 67,394 125,761 142,950 54,984 87,966 97,296 97,296 251,494 251,494 273,171 53,247 17,771 115,070 48,111 38,972 170,498 170,498 390,156 331,849 27,600 30,707 799,407 799,407 103,459 103,459 232,392 217,955 14,437 139,315 139,315 124,345 63,303 61,042 113,329 113,329 97,478 31,369 66,109 116,935 116,935 740,482 56,755 61,518 574,335 47,874 19902 (April 1) 324,858 31,913 25,968 165,058 44,920 43,044 13,955 77,720 77,720 153,296 50,422 102,874 91,605 91,605 297,569 274,713 22,856 239,464 97,499 11,618 113,409 16,938 96,591 96,591 430,459 430,459 176,195 61,851 114,344 131,327 51,666 79,661 90,083 90,083 186,136 186,136 234,078 42,493 14,897 99,590 43,270 33,828 143,777 143,777 354,435 300,836 25,948 27,651 667,490 667,490 99,840 99,840 191,263 181,596 9,667 95,434 95,434 118,539 59,209 59,330 104,666 104,666 103,272 32,589 70,683 93,145 93,145 645,918 50,057 57,024 500,631 38,206 2000– 20053 6,728 908 −209 1,265 3,979 744 41 4,720 4,720 10,490 2,609 7,881 12,407 12,407 8,923 1,553 7,370 58,056 33,534 719 22,640 1,163 7,546 7,546 7,735 7,735 5,288 −48 5,336 −599 −324 −275 2,041 2,041 20,433 20,433 11,823 4,383 447 3,680 1,417 1,896 11,674 11,674 14,258 12,157 485 1,616 78,177 78,177 −270 −270 7,862 5,897 1,965 26,456 26,456 4,227 2,245 1,982 1,119 1,119 −405 −236 −169 12,937 12,937 30,703 3,137 3,090 22,331 2,145 1990– 2000 17,957 587 1,093 6,864 7,463 1,785 165 5,120 5,120 21,071 807 20,264 22,196 22,196 39,044 28,254 10,790 107,581 55,905 2,625 44,308 4,743 19,729 19,729 5,689 5,689 16,960 5,543 11,417 11,623 3,318 8,305 7,213 7,213 65,358 65,358 39,093 10,754 2,874 15,480 4,841 5,144 26,721 26,721 35,721 31,013 1,652 3,056 131,917 131,917 3,619 3,619 41,129 36,359 4,770 43,881 43,881 5,806 4,094 1,712 8,663 8,663 −5,794 −1,220 −4,574 23,790 23,790 94,564 6,698 4,494 73,704 9,668 2000– 20053 2.0 2.8 −0.8 0.7 7.6 1.7 0.3 5.7 5.7 6.0 5.1 6.4 10.9 10.9 2.7 0.5 21.9 16.7 21.9 5.0 14.4 5.4 6.5 6.5 1.8 1.8 2.7 −0.1 4.2 −0.4 −0.6 −0.3 2.1 2.1 8.1 8.1 4.3 8.2 2.5 3.2 2.9 4.9 6.8 6.8 3.7 3.7 1.8 5.3 9.8 9.8 −0.3 −0.3 3.4 2.7 13.6 19.0 19.0 3.4 3.5 3.2 1.0 1.0 −0.4 −0.8 −0.3 11.1 11.1 4.1 5.5 5.0 3.9 4.5 1990– 2000 5.5 1.8 4.2 4.2 16.6 4.1 1.2 6.6 6.6 13.7 1.6 19.7 24.2 24.2 13.1 10.3 47.2 44.9 57.3 22.6 39.1 28.0 20.4 20.4 1.3 1.3 9.6 9.0 10.0 8.9 6.4 10.4 8.0 8.0 35.1 35.1 16.7 25.3 19.3 15.5 11.2 15.2 18.6 18.6 10.1 10.3 6.4 11.1 19.8 19.8 3.6 3.6 21.5 20.0 49.3 46.0 46.0 4.9 6.9 2.9 8.3 8.3 −5.6 −3.7 −6.5 25.5 25.5 14.6 13.4 7.9 14.7 25.3 Net change Percent change Percent— Black or African American alone, 2003 5.6 2.0 0.9 8.2 1.2 7.3 4.4 6.7 6.7 1.1 0.6 1.3 0.6 0.6 37.7 37.6 38.3 1.5 0.8 0.2 2.5 0.3 1.0 1.0 20.3 20.3 41.1 42.6 40.4 12.5 17.0 9.7 1.0 1.0 0.8 0.8 3.7 0.9 0.8 6.6 2.3 1.9 9.4 9.4 9.8 11.5 0.2 0.2 5.7 5.7 14.8 14.8 19.9 20.8 6.6 6.9 6.9 2.0 0.8 3.2 33.6 33.6 1.2 0.4 1.6 0.5 0.5 7.9 0.3 5.1 9.5 1.3



65 years and over, 2003 13.8 15.2 12.6 14.7 11.1 13.1 14.8 5.0 5.0 10.6 12.6 9.8 9.3 9.3 8.3 8.4 7.3 11.5 13.3 13.7 9.6 11.2 7.4 7.4 11.8 11.8 12.2 12.4 12.1 15.5 15.7 15.4 14.3 14.3 9.6 9.6 13.0 11.4 16.1 12.7 13.8 13.7 12.8 12.8 11.6 11.2 14.5 12.8 9.7 9.7 15.9 15.9 10.1 9.7 14.7 9.2 9.2 14.7 15.4 13.9 12.0 12.0 12.2 17.2 9.8 15.3 15.3 10.5 12.0 9.9 10.2 12.9



Asian alone, 2003 0.7 0.6 0.2 1.0 0.8 0.4 (Z) 2.0 2.0 1.4 1.0 1.5 0.3 0.3 2.1 2.2 1.1 1.5 1.4 (Z) 1.9 0.3 0.9 0.9 0.9 0.9 0.6 0.2 0.9 0.4 0.4 0.4 0.9 0.9 1.8 1.8 2.0 1.4 0.4 3.8 0.3 0.3 2.8 2.8 1.5 1.7 0.3 0.3 8.6 8.6 0.4 0.4 3.6 3.9 0.2 1.4 1.4 0.5 0.6 0.3 1.0 1.0 1.0 0.4 1.3 0.6 0.6 1.7 0.3 0.4 2.1 0.3



Hispanic or Latino origin, 20034 1.1 0.7 0.4 1.0 0.9 1.3 3.6 4.7 4.7 1.8 2.9 1.4 15.4 15.4 5.6 5.2 8.5 9.8 10.2 2.9 9.9 10.1 11.1 11.1 2.4 2.4 1.1 0.9 1.1 1.1 1.2 1.1 2.5 2.5 8.9 8.9 5.3 3.7 1.9 7.9 4.7 2.2 4.3 4.3 4.2 4.7 1.6 0.9 46.0 46.0 2.0 2.0 5.7 5.9 3.1 22.6 22.6 1.9 1.5 2.3 5.5 5.5 2.8 4.2 2.1 10.3 10.3 6.9 1.7 2.7 8.1 4.4



Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . Clay County, MN . . . . . . . . . . . . . . . . . . . . . . Cass County, ND . . . . . . . . . . . . . . . . . . . . . . Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . San Juan County, NM . . . . . . . . . . . . . . . . . . . Fayetteville, NC . . . . . . . . . . . . . . . . . . . . . . . . . Cumberland County, NC . . . . . . . . . . . . . . . . . Hoke County, NC . . . . . . . . . . . . . . . . . . . . . . Fayetteville-Springdale-Rogers, AR-MO . Benton County, AR . . . . . . . . . . . . . Madison County, AR . . . . . . . . . . . . Washington County, AR . . . . . . . . . . McDonald County, MO . . . . . . . . . . Flagstaff, AZ . . . . . . . . . . . . . . . . . . . Coconino County, AZ . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Genesee County, MI . . . . . . . . . . . . Florence, SC. . . . . . . . . . . . . . . . . . . Darlington County, SC . . . . . . . . . . . Florence County, SC . . . . . . . . . . . . Florence-Muscle Shoals, AL. . . . . . . . . Colbert County, AL . . . . . . . . . . . . . Lauderdale County, AL . . . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fond du Lac County, WI . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Larimer County, CO . . . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Crawford County, AR. . . . . . . . . . . . Franklin County, AR . . . . . . . . . . . . Sebastian County, AR . . . . . . . . . . . Le Flore County, OK . . . . . . . . . . . . Sequoyah County, OK . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Okaloosa County, FL. . . . . . . . . . . . Fort Wayne, IN . . . . . . . . . . . . . . . . . Allen County, IN . . . . . . . . . . . . . . . Wells County, IN . . . . . . . . . . . . . . Whitley County, IN . . . . . . . . . . . . . Fresno, CA . . . . . . . . . . . . . . . . . . . . Fresno County, CA . . . . . . . . . . . . . Gadsden, AL. . . . . . . . . . . . . . . . . . . Etowah County, AL . . . . . . . . . . . . . Gainesville, FL . . . . . . . . . . . . . . . . . Alachua County, FL . . . . . . . . . . . . Gilchrist County, FL . . . . . . . . . . . . Gainesville, GA . . . . . . . . . . . . . . . . . Hall County, GA . . . . . . . . . . . . . . . Glens Falls, NY . . . . . . . . . . . . . . . . . Warren County, NY . . . . . . . . . . . . . Washington County, NY . . . . . . . . . . Goldsboro, NC . . . . . . . . . . . . . . . . . Wayne County, NC . . . . . . . . . . . . . Grand Forks, ND-MN . . . . . . . . . . . . . Polk County, MN . . . . . . . . . . . . . . Grand Forks County, ND . . . . . . . . . Grand Junction, CO . . . . . . . . . . . . . . Mesa County, CO . . . . . . . . . . . . . . Grand Rapids-Wyoming, MI . Barry County, MI . . . . . . Ionia County, MI . . . . . . . Kent County, MI . . . . . . . Newaygo County, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



194



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Great Falls, MT . . . . . . . . . . . . . Cascade County, MT. . . . . . . . Greeley, CO5 . . . . . . . . . . . . . . Weld County, CO5 . . . . . . . . . Green Bay, WI . . . . . . . . . . . . . Brown County, WI. . . . . . . . . . Kewaunee County, WI . . . . . . . Oconto County, WI . . . . . . . . . Greensboro-High Point, NC . . . . . Guilford County, NC . . . . . . . . Randolph County, NC . . . . . . . Rockingham County, NC . . . . . Greenville, NC. . . . . . . . . . . . . . Greene County, NC . . . . . . . . Pitt County, NC . . . . . . . . . . . Greenville, SC. . . . . . . . . . . . . . Greenville County, SC . . . . . . . Laurens County, SC . . . . . . . . Pickens County, SC . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . . Hancock County, MS. . . . . . . . Harrison County, MS . . . . . . . . Stone County, MS . . . . . . . . . Hagerstown-Martinsburg, MD-WV . Washington County, MD . . . . . Berkeley County, WV . . . . . . . Morgan County, WV . . . . . . . . Hanford-Corcoran, CA . . . Kings County, CA . . . . . Harrisburg-Carlisle, PA . . . Cumberland County, PA. Dauphin County, PA . . . Perry County, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,569 79,569 228,943 228,943 297,493 238,987 20,840 37,666 674,500 443,519 138,367 92,614 162,596 20,026 142,570 591,251 407,383 70,293 113,575 255,383 46,711 193,810 14,862 251,311 141,895 93,394 16,022 143,420 143,420 521,812 223,089 253,995 44,728 111,689 71,251 40,438 1,188,241 877,393 163,214 147,634 131,871 75,095 44,616 12,160 355,654 35,492 89,399 79,122 151,641 68,627 57,544 11,083 255,406 255,406 905,266 905,266 93,551 93,551 199,670 92,179 107,491 5,280,077 26,123 278,484 28,411 463,650 277,563 3,693,050 75,141 378,033 24,801 34,821 286,012 49,594 37,184 63,112 94,031 42,091 2004 (July 1) 79,938 79,938 219,961 219,961 295,049 236,870 20,689 37,490 666,427 437,879 136,295 92,253 160,360 20,113 140,247 583,917 401,019 70,094 112,804 252,826 45,899 192,458 14,469 244,206 139,193 89,267 15,746 142,291 142,291 518,744 221,135 253,060 44,549 110,796 70,151 40,645 1,182,817 873,879 162,169 146,769 129,944 74,464 43,245 12,235 353,097 35,333 89,435 78,855 149,474 71,412 60,493 10,919 252,945 252,945 899,562 899,562 92,222 92,222 198,409 91,955 106,454 5,176,667 25,690 270,870 28,129 442,389 272,024 3,641,114 74,962 362,192 24,562 34,735 286,237 49,578 37,109 62,657 94,517 42,376 20001 (estimates base) 80,357 80,357 180,861 180,861 282,497 226,658 20,187 35,652 643,447 421,048 130,471 91,928 152,693 18,974 133,719 559,922 379,632 69,533 110,757 246,190 42,967 189,601 13,622 222,771 131,923 75,905 14,943 129,461 129,461 509,074 213,674 251,798 43,602 108,167 67,714 40,453 1,148,618 857,183 155,071 136,364 123,812 72,604 39,070 12,138 341,820 33,612 89,145 77,386 141,677 71,914 61,610 10,304 238,314 238,314 876,156 876,156 88,068 88,068 194,477 89,974 104,503 4,715,407 23,590 241,767 26,031 354,445 250,158 3,400,580 70,159 293,768 22,246 32,663 288,649 49,752 36,891 62,319 96,784 42,903 19902 (April 1) 77,691 77,691 131,821 131,821 243,698 194,594 18,878 30,226 540,030 347,420 106,546 86,064 123,864 15,384 108,480 472,155 320,167 58,092 93,896 207,875 31,760 165,365 10,750 192,774 121,393 59,253 12,128 101,469 101,469 474,242 195,257 237,813 41,172 88,189 57,482 30,707 1,123,678 851,783 143,196 128,699 109,603 68,314 30,424 10,865 292,405 27,544 75,740 70,709 118,412 58,947 52,745 6,202 187,768 187,768 836,231 836,231 73,397 73,397 182,842 85,860 96,982 3,767,233 19,832 191,707 20,088 225,421 217,396 2,818,101 52,726 182,201 16,372 23,389 288,189 51,150 36,742 61,834 96,827 41,636 2000– 20053 −788 −788 48,082 48,082 14,996 12,329 653 2,014 31,053 22,471 7,896 686 9,903 1,052 8,851 31,329 27,751 760 2,818 9,193 3,744 4,209 1,240 28,540 9,972 17,489 1,079 13,959 13,959 12,738 9,415 2,197 1,126 3,522 3,537 −15 39,623 20,210 8,143 11,270 8,059 2,491 5,546 22 13,834 1,880 254 1,736 9,964 −3,287 −4,066 779 17,092 17,092 29,110 29,110 5,483 5,483 5,193 2,205 2,988 564,670 2,533 36,717 2,380 109,205 27,405 292,470 4,982 84,265 2,555 2,158 −2,637 −158 293 793 −2,753 −812 1990– 2000 2,666 2,666 49,040 49,040 38,799 32,064 1,309 5,426 103,417 73,628 23,925 5,864 28,829 3,590 25,239 87,767 59,465 11,441 16,861 38,315 11,207 24,236 2,872 29,997 10,530 16,652 2,815 27,992 27,992 34,832 18,417 13,985 2,430 19,978 10,232 9,746 24,940 5,400 11,875 7,665 14,209 4,290 8,646 1,273 49,415 6,068 13,405 6,677 23,265 12,967 8,865 4,102 50,546 50,546 39,925 39,925 14,671 14,671 11,635 4,114 7,521 948,174 3,758 50,060 5,943 129,024 32,762 582,479 17,433 111,567 5,874 9,274 460 −1,398 149 485 −43 1,267 2000– 20053 −1.0 −1.0 26.6 26.6 5.3 5.4 3.2 5.6 4.8 5.3 6.1 0.7 6.5 5.5 6.6 5.6 7.3 1.1 2.5 3.7 8.7 2.2 9.1 12.8 7.6 23.0 7.2 10.8 10.8 2.5 4.4 0.9 2.6 3.3 5.2 (Z) 3.4 2.4 5.3 8.3 6.5 3.4 14.2 0.2 4.0 5.6 0.3 2.2 7.0 −4.6 −6.6 7.6 7.2 7.2 3.3 3.3 6.2 6.2 2.7 2.5 2.9 12.0 10.7 15.2 9.1 30.8 11.0 8.6 7.1 28.7 11.5 6.6 −0.9 −0.3 0.8 1.3 −2.8 −1.9 1990– 2000 3.4 3.4 37.2 37.2 15.9 16.5 6.9 18.0 19.2 21.2 22.5 6.8 23.3 23.3 23.3 18.6 18.6 19.7 18.0 18.4 35.3 14.7 26.7 15.6 8.7 28.1 23.2 27.6 27.6 7.3 9.4 5.9 5.9 22.7 17.8 31.7 2.2 0.6 8.3 6.0 13.0 6.3 28.4 11.7 16.9 22.0 17.7 9.4 19.6 22.0 16.8 66.1 26.9 26.9 4.8 4.8 20.0 20.0 6.4 4.8 7.8 25.2 18.9 26.1 29.6 57.2 15.1 20.7 33.1 61.2 35.9 39.7 0.2 −2.7 0.4 0.8 (Z) 3.0 Net change Percent change Percent— Black or African American alone, 2003 1.5 1.5 0.8 0.8 1.2 1.4 0.2 0.3 23.8 30.5 5.5 19.6 35.1 40.5 34.3 17.5 18.9 26.3 6.8 19.5 6.6 22.6 20.0 6.5 8.0 5.2 0.6 8.7 8.7 9.7 2.5 17.5 0.7 3.4 1.6 6.4 10.7 13.2 4.6 3.0 26.5 34.5 13.3 22.5 6.8 4.6 6.5 5.3 8.3 38.6 41.4 23.1 1.2 1.2 3.1 3.1 8.1 8.1 15.7 13.1 18.0 16.8 10.2 9.1 9.9 20.4 15.1 18.5 12.2 3.6 12.3 27.3 2.5 2.7 0.6 2.0 4.4 0.2



65 years and over, 2003 14.6 14.6 8.2 8.2 11.5 10.7 14.8 14.5 12.4 11.9 12.3 15.0 9.9 11.7 9.6 12.0 11.8 13.0 11.9 12.0 14.3 11.6 10.9 13.1 14.1 10.8 16.7 7.3 7.3 14.4 15.0 14.2 12.3 12.1 13.9 9.2 13.7 14.3 13.6 10.4 10.8 11.3 9.6 12.0 13.1 12.5 14.0 13.7 12.5 4.8 4.6 6.2 10.4 10.4 13.7 13.7 20.7 20.7 10.8 11.5 10.2 7.8 14.4 8.6 8.8 5.9 10.8 7.5 10.0 8.7 14.8 9.3 15.4 15.4 15.2 14.5 16.2 15.1



Asian alone, 2003 0.9 0.9 1.0 1.0 2.0 2.4 0.1 0.2 2.2 3.0 0.8 0.3 1.0 (Z) 1.1 1.4 1.6 0.2 1.2 2.4 1.0 2.9 0.2 0.7 0.8 0.6 0.3 3.2 3.2 2.1 2.1 2.4 0.2 1.4 0.3 3.3 2.8 3.0 1.8 2.6 0.8 1.0 0.7 0.2 2.5 1.3 3.7 0.5 3.3 1.9 2.1 0.8 2.4 2.4 46.9 46.9 0.6 0.6 0.8 0.8 0.9 5.4 0.4 3.1 1.0 14.0 2.5 5.5 0.4 1.3 0.4 0.5 0.5 0.3 0.4 0.3 1.0 0.2



Hispanic or Latino origin, 20034 2.6 2.6 29.7 29.7 3.7 4.5 0.7 0.8 5.2 4.5 8.3 3.8 4.5 9.7 3.7 4.0 4.8 2.7 2.0 2.3 1.9 2.4 1.4 1.4 1.3 1.7 0.9 45.4 45.4 2.7 1.4 4.2 0.7 6.4 3.6 10.9 9.8 12.2 3.3 3.0 1.3 1.4 1.1 1.0 5.0 2.7 4.2 3.4 7.0 6.4 6.0 8.6 7.4 7.4 6.8 6.8 2.7 2.7 1.7 1.5 1.8 31.1 17.6 24.1 12.6 21.7 19.1 36.0 12.1 14.6 6.1 21.1 0.7 1.3 0.6 0.5 0.6 0.5



Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . Rockingham County, VA . . . . . . . . . . . . . . . . . Harrisonburg city, VA. . . . . . . . . . . . . . . . . . . . Hartford-West Hartford-East Hartford, CT . Hartford County, CT . . . . . . . . . . . . . Middlesex County, CT . . . . . . . . . . . . Tolland County, CT . . . . . . . . . . . . . . Hattiesburg, MS. . . . . . . . . . . . . . . . . . Forrest County, MS. . . . . . . . . . . . . . Lamar County, MS . . . . . . . . . . . . . . Perry County, MS . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . . Alexander County, NC . . . . . . . . . . . . Burke County, NC. . . . . . . . . . . . . . . Caldwell County, NC . . . . . . . . . . . . . Catawba County, NC. . . . . . . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . . Liberty County, GA . . . . . . . . . . . . . . Long County, GA . . . . . . . . . . . . . . . Holland-Grand Haven, MI . . . . . . . . . . . Ottawa County, MI . . . . . . . . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . . . . . Honolulu County, HI . . . . . . . . . . . . . Hot Springs, AR. . . . . . . . . . . . . . . . . . Garland County, AR . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA . . . . Lafourche Parish, LA . . . . . . . . . . . . Terrebonne Parish, LA. . . . . . . . . . . . Houston-Sugar Land, Baytown, TX . . . . . Austin County, TX. . . . . . . . . . . . . . . Brazoria County, TX . . . . . . . . . . . . . Chambers County, TX . . . . . . . . . . . . Fort Bend County, TX . . . . . . . . . . . . Galveston County, TX . . . . . . . . . . . . Harris County, TX . . . . . . . . . . . . . . . Liberty County, TX . . . . . . . . . . . . . . Montgomery County, TX . . . . . . . . . . San Jacinto County, TX . . . . . . . . . . . Waller County, TX. . . . . . . . . . . . . . . Huntington-Ashland, WV-KY-OH . Boyd County, KY . . . . . . . . . Greenup County, KY . . . . . . . Lawrence County, OH . . . . . . Cabell County, WV . . . . . . . . Wayne County, WV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



195



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Huntsville, AL . . . . . . . . Limestone County, AL . Madison County, AL . . Idaho Falls, ID. . . . . . . . Bonneville County, ID . Jefferson County, ID . . Indianapolis, IN . . . . . . . Boone County, IN . . . . Brown County, IN . . . . Hamilton County, IN . . Hancock County, IN . . Hendricks County, IN . Johnson County, IN . . Marion County, IN. . . . Morgan County, IN . . . Putnam County, IN . . . Shelby County, IN. . . . Iowa City, IA . . . . . . . . . Johnson County, IA. . . Washington County, IA Ithaca, NY . . . . . . . . . . Tompkins County, NY . Jackson, MI . . . . . . . . . Jackson County, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 368,661 70,469 298,192 113,436 91,856 21,580 1,640,591 52,061 15,154 240,685 63,138 127,483 128,436 863,133 69,778 36,957 43,766 138,524 117,067 21,457 100,018 100,018 163,629 163,629 522,580 29,164 249,345 84,286 131,841 27,944 110,857 15,941 94,916 1,248,371 24,569 171,095 826,436 64,746 161,525 152,440 152,440 157,538 157,538 143,867 42,541 72,757 15,084 13,485 188,944 58,865 17,572 112,507 148,073 148,073 112,084 86,735 25,349 166,178 110,624 55,554 319,348 240,536 78,812 107,972 107,972 1,947,694 26,247 506,562 73,113 9,914 30,496 155,750 17,027 2004 (July 1) 362,800 69,202 293,598 110,560 89,733 20,827 1,617,414 50,820 15,214 229,840 60,965 123,467 125,682 861,847 69,188 36,680 43,711 137,558 116,226 21,332 100,080 100,080 162,653 162,653 517,060 29,117 249,828 81,935 128,593 27,587 110,042 15,813 94,229 1,223,741 23,946 164,387 819,623 63,061 152,724 154,587 154,587 156,207 156,207 142,377 42,060 72,030 14,967 13,320 187,217 58,627 17,663 110,927 148,646 148,646 111,064 85,791 25,273 164,031 109,338 54,693 318,272 239,748 78,524 107,038 107,038 1,927,240 26,130 496,892 72,443 9,748 29,811 155,981 16,967 20001 (estimates base) 342,627 65,676 276,951 101,677 82,522 19,155 1,525,104 46,107 14,957 182,740 55,391 104,093 115,209 860,454 66,689 36,019 43,445 131,676 111,006 20,670 96,501 96,501 158,422 158,422 497,197 28,757 250,800 74,674 115,327 27,639 107,365 15,528 91,837 1,122,750 22,259 140,814 778,866 57,663 123,148 150,355 150,355 152,307 152,307 140,052 40,766 71,397 14,827 13,062 181,607 56,742 17,667 107,198 152,598 152,598 107,762 82,148 25,614 157,322 104,686 52,636 314,866 238,603 76,263 103,833 103,833 1,813,064 24,784 451,476 68,691 9,570 28,351 157,882 16,653 19902 (April 1) 293,047 54,135 238,912 88,750 72,207 16,543 1,294,217 38,147 14,080 108,936 45,527 75,717 88,109 797,159 55,920 30,315 40,307 115,731 96,119 19,612 94,097 94,097 149,756 149,756 446,941 27,592 254,441 53,794 87,161 23,953 90,801 12,819 77,982 925,213 18,486 105,986 672,971 43,941 83,829 149,838 149,838 139,510 139,510 120,704 32,809 63,579 12,298 12,018 160,369 51,505 16,549 92,315 163,062 163,062 93,620 68,956 24,664 134,910 90,465 44,445 293,471 223,411 70,060 96,255 96,255 1,636,527 21,994 355,021 64,371 8,254 23,466 162,026 15,025 2000– 20053 26,034 4,793 21,241 11,759 9,334 2,425 115,487 5,954 197 57,945 7,747 23,390 13,227 2,679 3,089 938 321 6,848 6,061 787 3,517 3,517 5,207 5,207 25,383 407 −1,455 9,612 16,514 305 3,492 413 3,079 125,621 2,310 30,281 47,570 7,083 38,377 2,085 2,085 5,231 5,231 3,815 1,775 1,360 257 423 7,337 2,123 −95 5,309 −4,525 −4,525 4,322 4,587 −265 8,856 5,938 2,918 4,482 1,933 2,549 4,139 4,139 134,630 1,463 55,086 4,422 344 2,145 −2,132 374 1990– 2000 49,580 11,541 38,039 12,927 10,315 2,612 230,887 7,960 877 73,804 9,864 28,376 27,100 63,295 10,769 5,704 3,138 15,945 14,887 1,058 2,404 2,404 8,666 8,666 50,256 1,165 −3,641 20,880 28,166 3,686 16,564 2,709 13,855 197,537 3,773 34,828 105,895 13,722 39,319 517 517 12,797 12,797 19,348 7,957 7,818 2,529 1,044 21,238 5,237 1,118 14,883 −10,464 −10,464 14,142 13,192 950 22,412 14,221 8,191 21,395 15,192 6,203 7,578 7,578 176,537 2,790 96,455 4,320 1,316 4,885 −4,144 1,628 2000– 20053 7.6 7.3 7.7 11.6 11.3 12.7 7.6 12.9 1.3 31.7 14.0 22.5 11.5 0.3 4.6 2.6 0.7 5.2 5.5 3.8 3.6 3.6 3.3 3.3 5.1 1.4 −0.6 12.9 14.3 1.1 3.3 2.7 3.4 11.2 10.4 21.5 6.1 12.3 31.2 1.4 1.4 3.4 3.4 2.7 4.4 1.9 1.7 3.2 4.0 3.7 −0.5 5.0 −3.0 −3.0 4.0 5.6 −1.0 5.6 5.7 5.5 1.4 0.8 3.3 4.0 4.0 7.4 5.9 12.2 6.4 3.6 7.6 −1.4 2.2 1990– 2000 16.9 21.3 15.9 14.6 14.3 15.8 17.8 20.9 6.2 67.7 21.7 37.5 30.8 7.9 19.3 18.8 7.8 13.8 15.5 5.4 2.6 2.6 5.8 5.8 11.2 4.2 −1.4 38.8 32.3 15.4 18.2 21.1 17.8 21.4 20.4 32.9 15.7 31.2 46.9 0.3 0.3 9.2 9.2 16.0 24.3 12.3 20.6 8.7 13.2 10.2 6.8 16.1 −6.4 −6.4 15.1 19.1 3.9 16.6 15.7 18.4 7.3 6.8 8.9 7.9 7.9 10.8 12.7 27.2 6.7 15.9 20.8 −2.6 10.8 Net change Percent change Percent— Black or African American alone, 2003 21.5 13.2 23.4 0.6 0.6 0.4 14.4 0.5 0.3 2.4 0.8 2.4 0.9 25.3 0.1 2.8 0.8 2.8 3.3 0.3 4.0 4.0 7.9 7.9 46.1 51.0 63.6 37.3 18.0 34.8 29.9 9.0 33.5 22.7 14.0 7.4 30.0 7.3 6.2 18.7 18.7 4.6 4.6 7.2 5.4 10.3 3.6 0.2 2.8 1.5 0.6 3.9 3.0 3.0 8.8 9.3 7.3 1.3 1.6 0.8 8.7 10.0 5.0 15.6 15.6 12.7 1.3 3.4 10.6 0.6 1.6 28.4 0.7



65 years and over, 2003 11.5 11.5 11.6 10.2 10.4 9.4 10.5 11.2 13.2 7.4 11.5 9.9 11.0 10.9 10.9 12.6 12.5 9.1 7.6 17.1 9.4 9.4 12.6 12.6 10.7 12.5 10.8 10.0 10.1 13.3 12.3 13.5 12.1 11.0 9.7 10.0 10.2 13.6 15.1 7.2 7.2 12.8 12.8 11.5 10.5 11.3 13.5 13.8 14.7 14.6 18.3 14.2 19.3 19.3 12.3 11.6 14.3 13.5 13.3 13.8 11.6 11.3 12.4 12.9 12.9 11.3 13.9 9.9 9.6 17.4 11.7 11.1 16.3



Asian alone, 2003 1.9 0.4 2.2 0.8 0.9 0.3 1.6 0.8 0.4 3.5 0.6 1.2 1.0 1.6 0.3 0.6 0.9 4.6 5.4 0.3 9.0 9.0 0.6 0.6 0.8 0.2 0.6 1.7 0.9 0.2 0.7 0.3 0.8 2.6 0.5 2.3 3.1 0.6 1.1 2.2 2.2 0.9 0.9 0.7 0.6 1.0 0.3 (Z) 0.6 0.3 0.1 0.9 0.4 0.4 0.5 0.6 0.2 0.7 0.8 0.4 1.7 2.2 0.4 0.8 0.8 2.0 0.4 3.7 1.3 0.2 0.2 1.9 0.2



Hispanic or Latino origin, 20034 2.2 3.0 2.0 8.5 8.2 9.6 3.3 1.2 0.9 2.0 1.1 1.6 1.6 4.8 0.8 1.2 1.9 2.6 2.6 3.0 3.6 3.6 2.4 2.4 1.1 1.3 0.8 1.1 1.4 1.5 1.8 1.2 1.9 4.1 1.9 4.8 4.5 1.7 2.8 4.8 4.8 4.5 4.5 1.3 0.9 1.5 2.4 0.6 1.5 1.0 2.5 1.6 1.0 1.0 2.2 2.3 1.6 3.7 4.2 2.6 4.1 2.8 8.2 5.9 5.9 5.7 2.8 4.6 3.9 1.0 1.6 19.2 1.2



Jackson, MS . . . . . . . . . . Copiah County, MS. . . . Hinds County, MS. . . . . Madison County, MS . . . Rankin County, MS . . . . Simpson County, MS. . . Jackson, TN . . . . . . . . . . Chester County, TN . . . Madison County, TN . . . Jacksonville, FL. . . . . . . . Baker County, FL . . . . . Clay County, FL . . . . . . Duval County, FL . . . . . Nassau County, FL . . . . St. Johns County, FL. . . Jacksonville, NC . . . . . . . Onslow County, NC . . . Janesville, WI . . . . . . . . . Rock County, WI . . . . . Jefferson City, MO . . . . . . Callaway County, MO . . Cole County, MO . . . . . Moniteau County, MO . . Osage County, MO . . . . Johnson City, TN . . . . . . . Carter County, TN . . . . Unicoi County, TN . . . . Washington County, TN . Johnstown, PA . . . . . . . . Cambria County, PA . . . Jonesboro, AR . . . . . . . . Craighead County, AR . . Poinsett County, AR . . . Joplin, MO . . . . . . . . . . . Jasper County, MO . . . . Newton County, MO . . . Kalamazoo-Portage, MI . . Kalamazoo County, MI . Van Buren County, MI . . Kankakee-Bradley, IL . . . . Kankakee County, IL . . . Kansas City, MO-KS. . . . . Franklin County, KS . . . Johnson County, KS . . . Leavenworth County, KS Linn County, KS . . . . . . Miami County, KS. . . . . Wyandotte County, KS . Bates County, MO . . . .



See footnotes at end of table.



196



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Kansas City, MO-KS—Con. Caldwell County, MO. . . . Cass County, MO . . . . . . Clay County, MO . . . . . . Clinton County, MO. . . . . Jackson County, MO . Lafayette County, MO Platte County, MO . . Ray County, MO. . . . . . . . . . . . . . . . 2004 (July 1) 20001 (estimates base) 19902 (April 1) 2000– 20053 1990– 2000 2000– 20053 1990– 2000 Net change Percent change Percent— Black or African American alone, 2003



65 years and over, 2003



Asian alone, 2003



Hispanic or Latino origin, 20034



. . . . . . . .



. . . . . . . .



. . . . . . . .



. . . . . . . .



. . . . . . . .



. . . . . . . .



. . . . . . . .



. . . . . . . .



. . . . . . . .



. . . . . . . .



. . . . . . . .



. . . . . . . .



. . . . . . . .



. . . . . . . .



. . . . . . . .



. . . . . . . .



9,307 94,232 202,078 20,715 662,959 33,108 82,085 24,101 220,961 157,950 63,011 351,528 256,057 75,802 19,669 301,294 56,196 152,716 22,962 52,085 17,335 182,693 182,693 655,400 72,430 115,535 404,972 43,387 19,076 101,362 84,977 16,385 128,899 19,941 108,958 183,340 9,039 20,426 153,875 247,824 197,390 50,434 194,977 185,419 9,558 542,912 542,912 490,562 490,562 455,315 69,329 107,394 278,592 224,695 224,695 189,444 189,444 1,710,551 1,710,551 102,914 102,914 112,429 112,429 125,578 125,578 59,109 37,931 21,178 108,039 108,039



9,244 91,809 197,725 20,625 662,185 32,998 80,724 23,958 215,552 155,901 59,651 345,949 250,466 74,851 20,632 299,983 55,589 152,263 23,000 51,786 17,345 181,824 181,824 646,979 72,045 113,444 400,340 42,267 18,883 101,129 84,586 16,543 128,401 19,866 108,535 181,427 9,109 20,296 152,022 245,719 195,401 50,318 194,261 184,635 9,626 524,286 524,286 486,361 486,361 455,594 68,675 106,826 280,093 218,806 218,806 185,524 185,524 1,648,524 1,648,524 102,738 102,738 113,058 113,058 124,087 124,087 58,640 37,730 20,910 107,125 107,125



8,969 82,092 184,006 18,975 654,880 32,960 73,775 23,354 191,822 142,475 49,347 330,712 237,974 74,976 17,762 298,484 53,563 153,048 23,403 51,103 17,367 177,749 177,749 616,079 71,330 105,823 382,032 39,086 17,808 101,541 84,964 16,577 126,838 19,718 107,120 178,541 9,421 20,165 148,955 238,936 190,353 48,583 193,568 183,577 9,991 483,924 483,924 470,658 470,658 447,822 64,753 103,655 279,414 193,117 193,117 174,682 174,682 1,375,738 1,375,738 99,965 99,965 114,996 114,996 120,327 120,327 57,961 37,410 20,551 103,793 103,793



8,380 63,808 153,411 16,595 633,234 31,107 57,867 21,968 150,033 112,560 37,473 268,820 191,073 64,226 13,521 275,678 44,565 143,596 23,204 45,887 18,426 165,304 165,304 534,917 68,250 85,969 335,749 31,255 13,694 96,946 80,827 16,119 116,401 18,497 97,904 158,848 9,441 18,809 130,598 208,859 164,762 44,097 177,394 168,134 9,260 405,382 405,382 422,822 422,822 432,684 57,893 92,879 281,912 133,239 133,239 135,510 135,510 741,368 741,368 81,798 81,798 111,486 111,486 113,744 113,744 51,359 33,754 17,605 105,259 105,259



338 12,140 18,072 1,740 8,079 148 8,310 747 29,139 15,475 13,664 20,816 18,083 826 1,907 2,810 2,633 −332 −441 982 −32 4,944 4,944 39,321 1,100 9,712 22,940 4,301 1,268 −179 13 −192 2,061 223 1,838 4,799 −382 261 4,920 8,888 7,037 1,851 1,409 1,842 −433 58,988 58,988 19,904 19,904 7,493 4,576 3,739 −822 31,578 31,578 14,762 14,762 334,813 334,813 2,949 2,949 −2,567 −2,567 5,251 5,251 1,148 521 627 4,246 4,246



589 18,284 30,595 2,380 21,646 1,853 15,908 1,386 41,789 29,915 11,874 61,892 46,901 10,750 4,241 22,806 8,998 9,452 199 5,216 −1,059 12,445 12,445 81,162 3,080 19,854 46,283 7,831 4,114 4,595 4,137 458 10,437 1,221 9,216 19,693 −20 1,356 18,357 30,077 25,591 4,486 16,174 15,443 731 78,542 78,542 47,836 47,836 15,138 6,860 10,776 −2,498 59,878 59,878 39,172 39,172 634,370 634,370 18,167 18,167 3,510 3,510 6,583 6,583 6,602 3,656 2,946 −1,466 −1,466



3.8 14.8 9.8 9.2 1.2 0.4 11.3 3.2 15.2 10.9 27.7 6.3 7.6 1.1 10.7 0.9 4.9 −0.2 −1.9 1.9 −0.2 2.8 2.8 6.4 1.5 9.2 6.0 11.0 7.1 −0.2 (Z) −1.2 1.6 1.1 1.7 2.7 −4.1 1.3 3.3 3.7 3.7 3.8 0.7 1.0 −4.3 12.2 12.2 4.2 4.2 1.7 7.1 3.6 −0.3 16.4 16.4 8.5 8.5 24.3 24.3 3.0 3.0 −2.2 −2.2 4.4 4.4 2.0 1.4 3.1 4.1 4.1



7.0 28.7 19.9 14.3 3.4 6.0 27.5 6.3 27.9 26.6 31.7 23.0 24.5 16.7 31.4 8.3 20.2 6.6 0.9 11.4 −5.7 7.5 7.5 15.2 4.5 23.1 13.8 25.1 30.0 4.7 5.1 2.8 9.0 6.6 9.4 12.4 −0.2 7.2 14.1 14.4 15.5 10.2 9.1 9.2 7.9 19.4 19.4 11.3 11.3 3.5 11.8 11.6 −0.9 44.9 44.9 28.9 28.9 85.6 85.6 22.2 22.2 3.1 3.1 5.8 5.8 12.9 10.8 16.7 −1.4 −1.4



16.3 11.7 10.7 13.8 12.3 15.2 9.1 12.5 9.6 10.3 7.7 8.7 9.1 6.3 14.0 16.2 13.6 16.4 18.3 15.7 21.3 13.2 13.2 13.6 16.5 14.1 12.7 17.3 11.4 13.7 13.6 14.3 13.1 16.5 12.5 9.8 15.1 13.8 9.0 9.9 9.8 10.1 12.1 12.1 11.5 17.8 17.8 14.2 14.2 10.3 11.2 11.7 9.6 7.6 7.6 11.3 11.3 10.8 10.8 8.1 8.1 10.2 10.2 16.5 16.5 17.1 17.0 17.2 14.2 14.2



0.2 2.0 3.4 1.5 24.1 2.3 4.1 1.4 1.6 1.2 2.7 19.4 20.2 20.8 3.3 1.9 1.6 2.0 0.8 1.3 5.6 6.4 6.4 6.3 3.7 2.7 8.7 1.2 0.5 5.8 6.9 0.2 0.9 0.5 1.0 2.2 0.3 0.3 2.6 26.0 24.5 32.1 23.7 24.7 4.3 14.7 14.7 3.3 3.3 8.6 1.1 5.9 11.4 0.5 0.5 2.2 2.2 9.1 9.1 4.1 4.1 20.8 20.8 1.5 1.5 0.3 0.4 0.2 0.9 0.9



0.1 0.6 1.7 0.2 1.5 0.3 1.9 0.2 2.2 2.4 1.8 2.5 2.8 1.8 0.8 0.4 0.3 0.5 0.1 0.3 0.6 1.5 1.5 1.2 1.0 1.0 1.5 0.3 0.2 1.0 1.1 0.3 3.0 0.5 3.4 4.5 0.1 (Z) 5.3 1.3 1.3 1.0 0.7 0.8 0.5 1.1 1.1 1.6 1.6 3.1 0.6 1.4 4.3 0.4 0.4 1.0 1.0 5.5 5.5 3.6 3.6 2.3 2.3 0.9 0.9 0.7 0.8 0.5 0.7 0.7



0.7 2.6 3.9 1.1 5.9 1.2 3.2 1.1 23.1 13.7 48.9 17.1 18.3 13.6 15.4 0.8 0.8 0.7 0.5 0.7 1.2 7.0 7.0 1.4 1.2 1.1 1.4 2.6 0.8 1.7 1.8 1.3 0.9 0.6 0.9 5.2 2.6 3.4 5.6 1.7 1.9 0.9 1.5 1.5 2.4 11.4 11.4 6.0 6.0 4.9 2.6 3.5 6.0 95.1 95.1 64.9 64.9 24.4 24.4 3.5 3.5 7.3 7.3 5.2 5.2 1.9 1.8 2.1 1.1 1.1



Kennewick-Richland-Pasco, WA . . . . . . . . . . . . . . Benton County, WA . . . . . . . . . . . . . . . . . . . . Franklin County, WA . . . . . . . . . . . . . . . . . . . . Killeen-Temple-Fort Hood, TX . Bell County, TX . . . . . . . . . Coryell County, TX . . . . . . . Lampasas County, TX . . . . . Kingsport-Bristol-Bristol, TN-VA Hawkins County, TN . . . . . . Sullivan County, TN . . . . . . Scott County, VA . . . . . . . . Washington County, VA . . . . Bristol city, VA . . . . . . . . . . Kingston, NY. . . . . . . . . . . . . Ulster County, NY. . . . . . . . Knoxville, TN . . . . . . . . . . . . Anderson County, TN . . . . . Blount County, TN . . . . . . . Knox County, TN . . . . . . . . Loudon County, TN. . . . . . . Union County, TN . . . . . . . . Kokomo, IN . . . . . . . . . . . . . Howard County, IN . . . . . . . Tipton County, IN . . . . . . . . La Crosse, WI-MN . . . . . . . . . Houston County, MN . . . . . . La Crosse County, WI . . . . . Lafayette, IN . . . . . . . . . . . . . Benton County, IN . . . . . . . Carroll County, IN . . . . . . . . Tippecanoe County, IN . . . . Lafayette, LA . . . . . . . . . . . . Lafayette Parish, LA . . . . . . St. Martin Parish, LA . . . . . . Lake Charles, LA . . . . . . . . . . Calcasieu Parish, LA. . . . . . Cameron Parish, LA . . . . . . Lakeland, FL. . . . . . . . . . . . . Polk County, FL . . . . . . . . . Lancaster, PA . . . . . . . . . . . . Lancaster County, PA . . . . . Lansing-East Lansing, MI . . . . Clinton County, MI . . . . . . . Eaton County, MI . . . . . . . . Ingham County, MI . . . . . . . Laredo, TX . . . . . . . . . . Webb County, TX . . . . Las Cruces, NM . . . . . . Dona Ana County, NM. Las Vegas-Paradise, NV . Clark County, NV . . . . Lawrence, KS . . . . . . . . Douglas County, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Lawton, OK . . . . . . . . . . . Comanche County, OK . . Lebanon, PA . . . . . . . . . . . Lebanon County, PA . . . . Lewiston, ID-WA . . . . . . . . Nez Perce County, ID . . . Asotin County, WA . . . . . Lewiston-Auburn, ME . . . . . Androscoggin County, ME



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



197



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Lexington-Fayette, KY . . Bourbon County, KY . . Clark County, KY . . . . Fayette County, KY. . . Jessamine County, KY Scott County, KY . . . . Woodford County, KY . Lima, OH . . . . . . . . . . . Allen County, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 429,889 19,833 34,887 268,080 43,463 39,380 24,246 106,234 106,234 281,553 264,814 16,739 643,272 97,147 17,348 60,658 10,468 366,463 91,188 110,426 12,371 98,055 201,501 115,649 47,971 37,881 97,325 97,325 12,923,547 9,935,475 9,935,475 2,988,072 2,988,072 1,208,452 101,592 71,997 36,827 27,885 68,474 15,903 699,827 28,447 41,088 53,533 38,205 15,651 9,023 258,970 6,686 252,284 236,910 32,134 13,967 65,286 52,339 6,211 66,973 228,712 154,918 12,874 26,836 23,785 10,299 142,788 142,788 537,039 55,364 458,106 23,569 401,291 401,291 127,949 127,949 678,275 678,275 195,322 195,322 2004 (July 1) 424,649 19,694 34,408 266,451 42,256 37,901 23,939 106,333 106,333 278,509 261,742 16,767 635,764 95,074 17,190 58,623 10,435 365,228 89,214 109,291 12,154 97,137 199,966 114,827 47,855 37,284 96,208 96,208 12,899,425 9,917,331 9,917,331 2,982,094 2,982,094 1,199,424 100,463 71,513 36,343 27,835 66,816 15,802 698,903 28,281 40,415 52,081 37,131 14,840 9,001 257,835 6,653 251,182 233,876 31,912 13,936 63,919 51,619 6,222 66,268 227,955 154,861 12,876 26,335 23,411 10,472 138,895 138,895 531,256 54,831 453,051 23,374 398,355 398,355 128,095 128,095 657,310 657,310 193,016 193,016 20001 (estimates base) 408,326 19,360 33,144 260,512 39,041 33,061 23,208 108,473 108,473 266,787 250,291 16,496 610,518 86,014 16,464 52,828 10,209 361,474 83,529 102,720 11,329 91,391 194,042 111,379 47,372 35,291 92,948 92,948 12,365,619 9,519,330 9,519,330 2,846,289 2,846,289 1,162,415 96,472 70,823 34,325 27,223 61,236 15,060 693,604 26,349 37,477 46,618 33,337 11,766 8,125 249,700 7,072 242,628 228,616 31,894 13,705 60,385 51,105 6,299 65,228 222,385 153,887 12,495 23,639 21,774 10,590 123,109 123,109 501,774 52,468 426,526 22,780 380,841 380,841 128,852 128,852 569,463 569,463 181,275 181,275 19902 (April 1) 348,428 19,236 29,496 225,366 30,508 23,867 19,955 109,755 109,755 229,091 213,641 15,450 534,943 60,006 13,948 39,268 7,969 349,569 64,183 79,415 9,232 70,183 180,053 104,948 43,735 31,370 82,119 82,119 11,273,720 8,863,052 8,863,052 2,410,668 2,410,668 1,056,156 87,774 64,404 29,890 23,717 47,567 12,823 665,123 24,170 29,710 33,263 24,824 6,801 6,090 229,940 7,304 222,636 206,226 28,578 12,298 45,552 47,572 6,177 66,049 206,786 150,137 8,991 20,739 17,113 9,806 88,090 88,090 432,323 45,088 367,085 20,150 335,838 335,838 126,137 126,137 383,545 383,545 146,387 146,387 2000– 20053 21,563 473 1,743 7,568 4,422 6,319 1,038 −2,239 −2,239 14,766 14,523 243 32,754 11,133 884 7,830 259 4,989 7,659 7,706 1,042 6,664 7,459 4,270 599 2,590 4,377 4,377 557,928 416,145 416,145 141,783 141,783 46,037 5,120 1,174 2,502 662 7,238 843 6,223 2,098 3,611 6,915 4,868 3,885 898 9,270 −386 9,656 8,294 240 262 4,901 1,234 −88 1,745 6,327 1,031 379 3,197 2,011 −291 19,679 19,679 35,265 2,896 31,580 789 20,450 20,450 −903 −903 108,812 108,812 14,047 14,047 1990– 2000 59,898 124 3,648 35,146 8,533 9,194 3,253 −1,282 −1,282 37,696 36,650 1,046 75,575 26,008 2,516 13,560 2,240 11,905 19,346 23,305 2,097 21,208 13,989 6,431 3,637 3,921 10,829 10,829 1,091,899 656,278 656,278 435,621 435,621 106,259 8,698 6,419 4,435 3,506 13,669 2,237 28,481 2,179 7,767 13,355 8,513 4,965 2,035 19,760 −232 19,992 22,390 3,316 1,407 14,833 3,533 122 −821 15,599 3,750 3,504 2,900 4,661 784 35,019 35,019 69,451 7,380 59,441 2,630 45,003 45,003 2,715 2,715 185,918 185,918 34,888 34,888 2000– 20053 5.3 2.4 5.3 2.9 11.3 19.1 4.5 −2.1 −2.1 5.5 5.8 1.5 5.4 12.9 5.4 14.8 2.5 1.4 9.2 7.5 9.2 7.3 3.8 3.8 1.3 7.3 4.7 4.7 4.5 4.4 4.4 5.0 5.0 4.0 5.3 1.7 7.3 2.4 11.8 5.6 0.9 8.0 9.6 14.8 14.6 33.0 11.1 3.7 −5.5 4.0 3.6 0.8 1.9 8.1 2.4 −1.4 2.7 2.8 0.7 3.0 13.5 9.2 −2.7 16.0 16.0 7.0 5.5 7.4 3.5 5.4 5.4 −0.7 −0.7 19.1 19.1 7.7 7.7 1990– 2000 17.2 0.6 12.4 15.6 28.0 38.5 16.3 −1.2 −1.2 16.5 17.2 6.8 14.1 43.3 18.0 34.5 28.1 3.4 30.1 29.3 22.7 30.2 7.8 6.1 8.3 12.5 13.2 13.2 9.7 7.4 7.4 18.1 18.1 10.1 9.9 10.0 14.8 14.8 28.7 17.4 4.3 9.0 26.1 40.1 34.3 73.0 33.4 8.6 −3.2 9.0 10.9 11.6 11.4 32.6 7.4 2.0 −1.2 7.5 2.5 39.0 14.0 27.2 8.0 39.8 39.8 16.1 16.4 16.2 13.1 13.4 13.4 2.2 2.2 48.5 48.5 23.8 23.8 Net change Percent change Percent— Black or African American alone, 2003 10.6 6.9 4.8 14.0 3.1 5.3 5.4 12.2 12.2 2.8 3.0 0.3 22.3 9.2 2.7 6.4 1.9 34.4 2.3 0.5 0.1 0.5 17.8 20.1 18.8 9.6 0.6 0.6 8.1 9.9 9.9 1.8 1.8 13.3 6.6 4.4 0.4 0.2 0.6 3.6 19.8 4.0 5.3 4.3 8.7 1.5 0.3 7.8 4.4 7.9 18.3 20.2 22.6 6.1 15.2 23.3 30.2 42.1 49.3 22.1 22.6 26.2 42.3 4.0 4.0 3.7 1.0 4.2 0.2 1.7 1.7 9.5 9.5 0.7 0.7 0.5 0.5



65 years and over, 2003 10.3 13.6 12.3 10.1 9.8 8.6 10.9 13.9 13.9 10.5 10.2 15.4 11.5 9.6 12.3 10.5 15.3 11.6 13.3 7.8 11.7 7.3 13.8 13.1 14.7 14.5 13.5 13.5 10.0 9.9 9.9 10.2 10.2 12.2 12.4 12.2 11.4 11.9 8.2 12.0 13.3 8.6 10.8 7.1 10.2 8.2 10.9 11.2 15.7 11.1 14.8 14.2 15.2 12.9 14.0 22.4 16.9 11.9 12.6 8.7 10.8 10.5 10.9 10.8 10.8 10.0 14.1 9.3 13.2 10.6 10.6 14.8 14.8 9.4 9.4 15.9 15.9



Asian alone, 2003 2.1 0.2 0.3 3.0 0.7 1.0 0.4 0.8 0.8 3.2 3.4 0.5 1.1 0.8 0.2 0.5 0.1 1.4 0.7 1.9 0.2 2.1 0.6 0.8 0.3 0.3 1.3 1.3 13.2 12.7 12.7 14.9 14.9 1.2 0.6 0.7 0.2 0.2 0.3 0.4 1.7 0.6 0.8 0.7 0.6 0.2 0.1 1.3 – 1.3 0.8 0.4 0.2 0.5 0.7 0.7 1.5 1.0 1.3 0.2 0.7 0.4 0.2 1.5 1.5 3.7 0.3 4.3 0.3 2.5 2.5 0.6 0.6 0.7 0.7 1.0 1.0



Hispanic or Latino origin, 20034 3.4 3.3 1.4 4.2 1.4 1.8 3.7 1.5 1.5 3.5 3.7 1.4 2.1 2.1 1.3 1.8 1.2 2.4 1.5 7.3 5.9 7.5 9.2 10.8 9.5 4.3 5.2 5.2 43.0 46.3 46.3 32.1 32.1 2.0 2.1 1.2 1.1 0.7 0.7 2.6 2.1 2.2 1.1 1.7 6.7 1.1 1.3 29.6 48.9 29.1 1.0 1.0 0.5 0.7 0.9 0.7 1.5 1.3 1.4 2.4 0.5 1.4 1.2 47.2 47.2 3.4 1.5 3.7 0.4 3.6 3.6 0.9 0.9 89.2 89.2 7.4 7.4



Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . Lancaster County, NE . . . . . . . . . . . . . . . . . . . Seward County, NE . . . . . . . . . . . . . . . . . . . . Little Rock-North Little Rock, AR. . . . . . . . Faulkner County, AR . . . . . . . . . . . . . . Grant County, AR . . . . . . . . . . . . . . . . Lonoke County, AR . . . . . . . . . . . . . . . Perry County, AR . . . . . . . . . . . . . . . . Pulaski County, AR . . . . . . . . . . . . . . . Saline County, AR . . . . . . . . . . . . . . . Logan, UT-ID . . . . . . . . . . . . . . . . . . . . Franklin County, ID . . . . . . . . . . . . . . . Cache County, UT . . . . . . . . . . . . . . . Longview, TX . . . . . . . . . . . . . . . . . . . . Gregg County, TX. . . . . . . . . . . . . . . . Rusk County, TX . . . . . . . . . . . . . . . . Upshur County, TX . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Cowlitz County, WA . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Los Angeles-Long Beach-Glendale, CA . Los Angeles County, CA. . . . . . . . . . Santa Ana-Anaheim-Irvine, CA . . . . . . . Orange County, CA . . . . . . . . . . . . . Louisville, KY-IN . . . . . . . . . . . . . . . . . . Clark County, IN. . . . . . . . . . . . . . . . . Floyd County, IN . . . . . . . . . . . . . . . . Harrison County, IN . . . . . . . . . . . . . . Washington County, IN . . . . . . . . . . . . Bullitt County, KY . . . . . . . . . . . . . . . . Henry County, KY. . . . . . . . . . . . . . . . Jefferson County, KY . . . . . . . . . . . . . Meade County, KY . . . . . . . . . . . . . . . Nelson County, KY . . . . . . . . . . . . . . . Oldham County, KY . . . . . . . . . . . . . . Shelby County, KY . . . . . . . . . . . . . . . Spencer County, KY . . . . . . . . . . . . . . Trimble County, KY . . . . . . . . . . . . . . . Lubbock, TX . . . . . . . . . . . . . . . . . . . . . Crosby County, TX . . . . . . . . . . . . . . . Lubbock County, TX . . . . . . . . . . . . . . Lynchburg, VA. . . . . . . . . . . . . . . . . . . . Amherst County, VA . . . . . . . . . . . . . . Appomattox County, VA . . . . . . . . . . . . Bedford County, VA . . . . . . . . . . . . . . Campbell County, VA . . . . . . . . . . . . . Bedford city, VA . . . . . . . . . . . . . . . . . Lynchburg city, VA . . . . . . . . . . . . . . . Macon, GA . . . . . . . . . Bibb County, GA . . . Crawford County, GA Jones County, GA . . Monroe County, GA . Twiggs County, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . Madera County, CA . . . . . . . . . . . . . . . . . . . . Madison, WI . . . . . . . . Columbia County, WI Dane County, WI . . . Iowa County, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . Hillsborough County, NH . . . . . . . . . . . . . . . . . Mansfield, OH . . . . . . . . . . . Richland County, OH. . . . . McAllen-Edinburg-Mission, TX Hidalgo County, TX. . . . . . Medford, OR . . . . . . . . . . . . Jackson County, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



198



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Memphis, TN-MS-AR . . . Crittenden County, AR . DeSoto County, MS . . Marshall County, MS . . Tate County, MS. . . . . Tunica County, MS . Fayette County, TN. Shelby County, TN . Tipton County, TN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,260,905 51,882 137,004 35,659 26,548 10,321 34,458 909,035 55,998 241,706 241,706 5,422,200 1,777,638 1,777,638 2,376,014 2,376,014 1,268,548 1,268,548 110,512 110,512 121,371 121,371 1,512,855 921,654 86,072 126,158 378,971 3,142,779 323,996 84,864 49,400 383,592 1,119,364 37,664 494,920 119,825 81,752 220,426 110,730 39,102 77,144 100,086 100,086 401,427 401,427 505,505 505,505 171,138 148,237 22,901 153,935 153,935 357,244 48,612 73,937 13,076 221,619 114,501 84,386 30,115 130,575 22,283 59,898 48,394 113,171 113,171 116,362 116,362 175,554 175,554 226,992 226,992 2004 (July 1) 1,248,492 51,541 130,704 35,419 26,267 10,078 33,562 906,287 54,634 236,857 236,857 5,355,903 1,753,000 1,753,000 2,358,714 2,358,714 1,244,189 1,244,189 109,741 109,741 120,014 120,014 1,513,319 926,764 85,697 124,382 376,476 3,112,877 319,548 81,851 48,253 378,343 1,119,866 36,526 499,206 114,765 78,621 216,153 107,062 38,449 74,234 99,063 99,063 400,107 400,107 497,599 497,599 171,089 148,238 22,851 152,451 152,451 354,243 47,458 71,829 13,154 221,802 113,883 84,061 29,822 128,794 21,885 59,368 47,541 111,131 111,131 117,501 117,501 174,146 174,146 217,635 217,635 20001 (estimates base) 1,205,194 50,866 107,199 34,993 25,370 9,227 28,796 897,472 51,271 210,554 210,554 5,007,988 1,623,018 1,623,018 2,253,779 2,253,779 1,131,191 1,131,191 110,106 110,106 116,009 116,009 1,500,744 940,164 82,317 117,496 360,767 2,968,817 298,084 70,205 41,101 355,904 1,116,039 31,287 511,202 89,498 64,415 201,130 89,993 36,804 63,155 95,802 95,802 399,843 399,843 446,997 446,997 170,053 147,250 22,803 145,945 145,945 346,528 43,671 65,876 13,471 223,510 111,200 81,866 29,334 123,081 20,659 58,128 44,294 102,979 102,979 118,769 118,769 170,200 170,200 196,629 196,629 19902 (April 1) 1,067,263 49,939 67,910 30,361 21,432 8,164 25,559 826,330 37,568 178,403 178,403 4,056,228 1,255,531 1,255,531 1,937,194 1,937,194 863,503 863,503 107,066 107,066 106,611 106,611 1,432,149 959,275 72,831 95,328 304,715 2,538,776 243,641 47,915 30,521 275,189 1,032,431 25,921 485,783 57,846 41,945 145,858 68,710 32,765 50,251 78,687 78,687 378,643 378,643 370,522 370,522 162,987 142,191 20,796 133,600 133,600 305,175 34,222 49,210 12,658 209,085 104,546 75,509 29,037 100,591 17,095 50,480 33,016 79,545 79,545 119,659 119,659 158,983 158,983 144,053 144,053 2000– 20053 55,711 1,016 29,805 666 1,178 1,094 5,662 11,563 4,727 31,152 31,152 414,212 154,620 154,620 122,235 122,235 137,357 137,357 406 406 5,362 5,362 12,111 −18,510 3,755 8,662 18,204 173,962 25,912 14,659 8,299 27,688 3,325 6,377 −16,282 30,327 17,337 19,296 20,737 2,298 13,989 4,284 4,284 1,584 1,584 58,508 58,508 1,085 987 98 7,990 7,990 10,716 4,941 8,061 −395 −1,891 3,301 2,520 781 7,494 1,624 1,770 4,100 10,192 10,192 −2,407 −2,407 5,354 5,354 30,363 30,363 1990– 2000 137,931 927 39,289 4,632 3,938 1,063 3,237 71,142 13,703 32,151 32,151 951,760 367,487 367,487 316,585 316,585 267,688 267,688 3,040 3,040 9,398 9,398 68,595 −19,111 9,486 22,168 56,052 430,041 54,443 22,290 10,580 80,715 83,608 5,366 25,419 31,652 22,470 55,272 21,283 4,039 12,904 17,115 17,115 21,200 21,200 76,475 76,475 7,066 5,059 2,007 12,345 12,345 41,353 9,449 16,666 813 14,425 6,654 6,357 297 22,490 3,564 7,648 11,278 23,434 23,434 −890 −890 11,217 11,217 52,576 52,576 2000– 20053 4.6 2.0 27.8 1.9 4.6 11.9 19.7 1.3 9.2 14.8 14.8 8.3 9.5 9.5 5.4 5.4 12.1 12.1 0.4 0.4 4.6 4.6 0.8 −2.0 4.6 7.4 5.0 5.9 8.7 20.9 20.2 7.8 0.3 20.4 −3.2 33.9 26.9 9.6 23.0 6.2 22.2 4.5 4.5 0.4 0.4 13.1 13.1 0.6 0.7 0.4 5.5 5.5 3.1 11.3 12.2 −2.9 −0.8 3.0 3.1 2.7 6.1 7.9 3.0 9.3 9.9 9.9 −2.0 −2.0 3.1 3.1 15.4 15.4 1990– 2000 12.9 1.9 57.9 15.3 18.4 13.0 12.7 8.6 36.5 18.0 18.0 23.5 29.3 29.3 16.3 16.3 31.0 31.0 2.8 2.8 8.8 8.8 4.8 −2.0 13.0 23.3 18.4 16.9 22.3 46.5 34.7 29.3 8.1 20.7 5.2 54.7 53.6 37.9 31.0 12.3 25.7 21.8 21.8 5.6 5.6 20.6 20.6 4.3 3.6 9.7 9.2 9.2 13.6 27.6 33.9 6.4 6.9 6.4 8.4 1.0 22.4 20.8 15.2 34.2 29.5 29.5 −0.7 −0.7 7.1 7.1 36.5 36.5 Net change Percent change Percent— Black or African American alone, 2003 44.9 50.3 15.0 50.5 30.5 72.8 30.8 50.7 19.1 4.1 4.1 20.9 24.3 24.3 20.9 20.9 15.9 15.9 10.1 10.1 6.9 6.9 16.4 26.2 1.1 0.5 0.9 5.9 2.3 0.9 0.8 3.0 9.8 0.4 8.7 1.4 0.9 2.3 0.4 0.3 0.4 0.4 0.4 34.4 34.4 3.0 3.0 33.4 34.2 27.8 2.0 2.0 41.4 17.2 21.1 72.5 51.0 2.7 3.5 0.4 2.9 0.4 4.2 2.3 0.5 0.5 6.7 6.7 14.2 14.2 15.9 15.9



65 years and over, 2003 9.9 9.8 9.1 11.2 11.4 9.4 12.3 9.8 10.0 9.0 9.0 15.9 14.7 14.7 13.6 13.6 22.1 22.1 13.5 13.5 11.9 11.9 12.4 12.3 13.3 11.5 12.6 9.6 7.7 7.3 9.5 7.8 10.9 10.2 12.0 5.9 7.0 8.1 8.5 9.5 9.4 10.1 10.1 12.1 12.1 10.0 10.0 12.3 11.9 14.9 11.4 11.4 11.5 10.4 10.9 12.8 11.9 11.7 10.5 15.1 13.6 13.0 13.8 13.5 14.3 14.3 13.6 13.6 12.7 12.7 15.6 15.6



Asian alone, 2003 1.6 0.6 0.9 0.1 0.1 0.4 0.9 1.9 0.4 6.5 6.5 1.9 2.7 2.7 1.4 1.4 1.8 1.8 0.5 0.5 1.0 1.0 2.5 3.0 1.3 0.8 2.0 4.7 2.6 2.1 1.0 3.6 5.4 0.5 9.4 3.8 0.8 3.3 0.8 0.7 0.9 1.2 1.2 1.7 1.7 4.7 4.7 0.7 0.8 0.3 0.6 0.6 0.9 0.6 0.5 0.1 1.2 2.2 2.9 0.2 0.5 0.1 0.7 0.4 1.7 1.7 0.8 0.8 0.5 0.5 0.9 0.9



Hispanic or Latino origin, 20034 2.6 1.4 2.7 1.3 1.1 2.6 1.2 2.9 1.3 49.5 49.5 36.8 20.2 20.2 60.5 60.5 14.9 14.9 3.5 3.5 31.8 31.8 6.9 9.8 1.4 1.4 2.7 3.8 2.0 2.8 1.5 3.4 4.9 1.1 5.7 3.2 1.5 2.2 1.3 0.8 0.8 1.7 1.7 1.2 1.2 36.0 36.0 1.5 1.3 2.6 2.2 2.2 1.3 1.3 1.4 0.6 1.3 0.9 1.0 0.6 4.4 1.2 7.8 1.7 12.5 12.5 1.1 1.1 3.8 3.8 3.1 3.1



Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . Merced County, CA. . . . . . . . . . . . . . . . . . . . . Miami-Fort Lauderdale-Miami Beach, FL . . . . . . . Fort Lauderdale-Pompano Beach-Deerfield Beach, FL . . . . . . . . . . . . . . . . . . . . . . . . . . Broward County, FL. . . . . . . . . . . . . . . . . . . Miami-Miami Beach-Kendall, FL . . . . . . . . . . Miami-Dade County, FL . . . . . . . . . . . . . . West Palm Beach-Boca Raton-Boynton Beach, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Palm Beach County, FL . . . . . . . . . . . . . . Michigan City-La Porte, IN. . . . . . . . . . . . . . . . LaPorte County, IN . . . . . . . . . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . Midland County, TX . . . . . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . . . . Milwaukee County, WI . . . . . . . . . . . . . . . Ozaukee County, WI . . . . . . . . . . . . . . . . Washington County, WI . . . . . . . . . . . . . . Waukesha County, WI . . . . . . . . . . . . . . . Minneapolis-St. Paul-Bloomington, MN-WI . . . Anoka County, MN . . . . . . . . . . . . . . . . . Carver County, MN . . . . . . . . . . . . . . . . . Chisago County, MN . . . . . . . . . . . . . . . . Dakota County, MN. . . . . . . . . . . . . . . . . Hennepin County, MN . . . . . . . . . . . . . . . Isanti County, MN . . . . . . . . . . . . . . . . . . Ramsey County, MN . . . . . . . . . . . . . . . . Scott County, MN . . . . . . . . . . . . . . . . . . Sherburne County, MN . . . . . . . . . . . . . . Washington County, MN . . . . . . . . . . . . . Wright County, MN . . . . . . . . . . . . . . . . . Pierce County, WI. . . . . . . . . . . . . . . . . . St. Croix County, WI . . . . . . . . . . . . . . . . Missoula, MT . . . . . . . . . . . . . . . . . . . . . . Missoula County, MT. . . . . . . . . . . . . . . . Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . Mobile County, AL . . . . . . . . . . . . . . . . . Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . Stanislaus County, CA. . . . . . . . . . . . . . . Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . Ouachita Parish, LA . . . . . . . . . . . . . . . . Union Parish, LA . . . . . . . . . . . . . . . . . . Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . Monroe County, MI . . . . . . . . . . . . . . . . . Montgomery, AL . . . . . . . . . . . . . . . . . . . . Autauga County, AL . . . . . . . . . . . . . . . . Elmore County, AL . . . . . . . . . . . . . . . . . Lowndes County, AL . . . . . . . . . . . . . . . . Montgomery County, AL. . . . . . . . . . . . . . Morgantown, WV . . . . . . . . . . . . . . . . . . . . Monongalia County, WV . . . . . . . . . . . . . Preston County, WV . . . . . . . . . . . . . . . . Morristown, TN . . . . . . . . . . . . . . . . . . . . . Grainger County, TN . . . . . . . . . . . . . . . . Hamblen County, TN. . . . . . . . . . . . . . . . Jefferson County, TN . . . . . . . . . . . . . . . Mount Vernon-Anacortes, WA . . . . . . . . . . . Skagit County, WA . . . . . . . . . . . . . . . . . Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . Delaware County, IN . . . . . . . . . . . . . . . . Muskegon-Norton Shores, MI. . . . . . . . . . . . Muskegon County, MI . . . . . . . . . . . . . . . Myrtle Beach-Conway-North Myrtle Beach, SC Horry County, SC . . . . . . . . . . . . . . . . . . See footnotes at end of table. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



199



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Napa, CA . . . . . . . . . . . . . . . . . . . Napa County, CA . . . . . . . . . . . . Naples-Marco Island, FL . . . . . . . . . Collier County, FL. . . . . . . . . . . . Nashville-Davidson-Murfreesboro, TN Cannon County, TN . . . . . . . . . . Cheatham County, TN . . . . . . . . . Davidson County, TN . . . . . . . . . Dickson County, TN . . . . . . . . . . Hickman County, TN . . . . . . . . . . Macon County, TN . . . . . . . . . . . Robertson County, TN . . . . . . . . . Rutherford County, TN. . . . . . . . . Smith County, TN . . . . . . . . . . . . Sumner County, TN . . Trousdale County, TN . Williamson County, TN Wilson County, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,764 132,764 307,242 307,242 1,422,544 13,337 38,603 575,261 45,894 23,793 21,549 60,379 218,292 18,647 145,009 7,677 153,595 100,508 846,766 846,766 1,319,367 452,824 454,863 28,995 65,364 50,633 46,393 220,295 18,747,320 2,303,709 789,516 635,952 558,341 319,900 2,808,064 1,333,137 1,474,927 2,152,978 791,057 130,404 490,593 153,130 531,457 56,337 11,482,569 902,561 603,521 499,060 1,357,589 2,486,235 1,593,200 100,507 2,241,600 464,573 292,916 940,807 162,611 162,611 266,618 266,618 303,442 303,442 99,286 99,286 125,339 125,339 486,842 268,187 7,906 210,749 1,156,812 98,701 224,898 49,369 32,311 36,894 30,096 684,543 2004 (July 1) 132,394 132,394 296,675 296,675 1,394,960 13,285 37,982 571,948 45,366 23,670 21,355 59,197 209,739 18,397 141,732 7,504 146,992 97,793 844,342 844,342 1,317,990 453,089 461,115 28,971 65,636 49,955 45,530 213,694 18,754,585 2,288,043 783,665 635,062 553,093 316,223 2,812,212 1,337,693 1,474,519 2,148,774 795,015 129,318 487,437 152,117 530,846 54,041 11,505,556 901,745 605,359 498,939 1,362,523 2,497,859 1,590,911 100,378 2,250,718 462,695 293,049 941,380 162,825 162,825 266,107 266,107 291,768 291,768 100,461 100,461 124,293 124,293 477,343 261,395 7,633 208,315 1,142,390 95,581 221,124 48,265 32,294 36,514 29,114 679,498 20001 (estimates base) 124,308 124,308 251,377 251,377 1,311,793 12,826 35,912 569,892 43,160 22,295 20,386 54,433 182,023 17,712 130,449 7,259 126,638 88,808 824,008 824,008 1,316,512 455,466 484,674 26,757 67,229 48,067 43,049 191,270 18,323,382 2,173,869 750,162 615,301 510,916 297,490 2,753,913 1,334,544 1,419,369 2,097,519 792,305 121,989 470,212 144,170 522,541 46,302 11,298,081 884,118 608,975 490,377 1,332,650 2,465,525 1,537,372 95,843 2,229,379 443,728 286,753 923,361 162,455 162,455 259,106 259,106 258,916 258,916 102,326 102,326 121,123 121,123 442,656 238,994 7,129 196,533 1,095,421 87,697 208,016 45,516 32,080 33,924 27,740 660,448 19902 (April 1) 110,765 110,765 152,099 152,099 1,048,216 10,467 27,140 510,786 35,061 16,754 15,906 41,492 118,570 14,143 103,281 5,920 81,021 67,675 804,219 804,219 1,264,383 448,306 496,938 25,575 66,631 42,437 39,996 144,500 16,846,046 1,898,352 671,811 553,093 433,203 240,245 2,609,212 1,287,444 1,321,768 1,959,855 777,964 107,802 421,361 130,943 493,819 27,966 10,378,627 825,380 553,099 453,302 1,203,789 2,300,664 1,487,536 83,941 1,951,598 378,977 265,475 874,866 161,378 161,378 254,957 254,957 194,835 194,835 95,089 95,089 118,934 118,934 351,799 187,941 5,528 158,330 971,042 74,409 174,253 41,747 29,216 29,011 22,795 599,611 2000– 20053 8,456 8,456 55,865 55,865 110,751 511 2,691 5,369 2,734 1,498 1,163 5,946 36,269 935 14,560 418 26,957 11,700 22,758 22,758 2,855 −2,642 −29,811 2,238 −1,865 2,566 3,344 29,025 423,938 129,840 39,354 20,651 47,425 22,410 54,151 −1,407 55,558 55,459 −1,248 8,415 20,381 8,960 8,916 10,035 184,488 18,443 −5,454 8,683 24,939 20,710 55,828 4,664 12,221 20,845 6,163 17,446 156 156 7,512 7,512 44,526 44,526 −3,040 −3,040 4,216 4,216 44,186 29,193 777 14,216 61,391 11,004 16,882 3,853 231 2,970 2,356 24,095 1990– 2000 13,543 13,543 99,278 99,278 263,577 2,359 8,772 59,106 8,099 5,541 4,480 12,941 63,453 3,569 27,168 1,339 45,617 21,133 19,789 19,789 52,129 7,160 −12,264 1,182 598 5,630 3,053 46,770 1,477,336 275,517 78,351 62,208 77,713 57,245 144,701 47,100 97,601 137,664 14,341 14,187 48,851 13,227 28,722 18,336 919,454 58,738 55,876 37,075 128,861 164,861 49,836 11,902 277,781 64,751 21,278 48,495 1,077 1,077 4,149 4,149 64,081 64,081 7,237 7,237 2,189 2,189 90,857 51,053 1,601 38,203 124,379 13,288 33,763 3,769 2,864 4,913 4,945 60,837 2000– 20053 6.8 6.8 22.2 22.2 8.4 4.0 7.5 0.9 6.3 6.7 5.7 10.9 19.9 5.3 11.2 5.8 21.3 13.2 2.8 2.8 0.2 −0.6 −6.2 8.4 −2.8 5.3 7.8 15.2 2.3 6.0 5.2 3.4 9.3 7.5 2.0 −0.1 3.9 2.6 −0.2 6.9 4.3 6.2 1.7 21.7 1.6 2.1 −0.9 1.8 1.9 0.8 3.6 4.9 0.5 4.7 2.1 1.9 0.1 0.1 2.9 2.9 17.2 17.2 −3.0 −3.0 3.5 3.5 10.0 12.2 10.9 7.2 5.6 12.5 8.1 8.5 0.7 8.8 8.5 3.6 1990– 2000 12.2 12.2 65.3 65.3 25.1 22.5 32.3 11.6 23.1 33.1 28.2 31.2 53.5 25.2 26.3 22.6 56.3 31.2 2.5 2.5 4.1 1.6 −2.5 4.6 0.9 13.3 7.6 32.4 8.8 14.5 11.7 11.2 17.9 23.8 5.5 3.7 7.4 7.0 1.8 13.2 11.6 10.1 5.8 65.6 8.9 7.1 10.1 8.2 10.7 7.2 3.4 14.2 14.2 17.1 8.0 5.5 0.7 0.7 1.6 1.6 32.9 32.9 7.6 7.6 1.8 1.8 25.8 27.2 29.0 24.1 12.8 17.9 19.4 9.0 9.8 16.9 21.7 10.1 Net change Percent change Percent— Black or African American alone, 2003 1.8 1.8 6.0 6.0 15.1 1.4 1.4 27.3 4.5 4.2 0.3 8.4 10.2 2.7 6.1 11.7 4.8 6.3 12.4 12.4 37.9 25.3 67.5 22.7 9.0 25.9 47.0 10.8 20.2 7.8 10.3 8.2 3.3 8.5 9.8 11.7 8.2 22.7 43.2 2.6 3.0 1.4 22.5 4.4 24.7 5.8 15.3 15.4 42.5 39.4 20.4 2.4 21.9 11.2 12.5 15.6 15.9 15.9 6.1 6.1 12.0 12.0 5.0 5.0 4.7 4.7 1.4 1.3 0.1 1.5 10.9 2.2 3.9 3.0 2.6 11.5 0.7 15.7



65 years and over, 2003 14.4 14.4 23.8 23.8 10.3 13.7 9.2 11.1 11.9 12.1 12.5 10.9 7.6 12.9 11.0 13.6 8.1 9.9 13.9 13.9 11.5 12.2 11.5 10.0 13.8 9.2 7.8 10.4 12.7 14.2 12.0 12.5 21.3 10.9 13.4 14.9 12.0 11.9 11.6 11.0 12.0 9.4 13.1 14.7 12.3 15.0 11.2 11.8 10.1 11.9 12.4 9.9 13.0 11.7 12.4 13.8 14.5 14.5 13.0 13.0 23.9 23.9 20.3 20.3 11.1 11.1 8.8 7.7 9.4 10.1 11.4 10.0 8.9 12.7 13.9 11.8 12.6 12.1



Asian alone, 2003 4.2 4.2 0.8 0.8 1.9 0.1 0.3 2.8 0.3 0.1 0.2 0.4 2.4 0.2 0.8 0.2 1.8 0.6 2.9 2.9 2.5 3.6 2.5 3.6 1.5 0.8 0.7 1.0 8.6 8.7 16.5 4.5 1.4 10.5 4.5 6.1 3.1 4.4 4.0 2.3 7.1 1.5 4.1 0.7 10.3 12.3 10.2 4.1 3.4 8.7 10.5 1.6 20.6 6.8 6.5 5.3 1.4 1.4 2.6 2.6 0.9 0.9 0.6 0.6 0.6 0.6 1.6 1.8 0.1 1.4 2.9 2.6 3.6 0.4 0.3 0.5 0.2 3.3



Hispanic or Latino origin, 20034 26.6 26.6 23.3 23.3 3.8 1.8 1.4 5.6 1.2 1.0 2.5 3.9 3.5 1.3 2.1 2.0 2.9 1.5 11.1 11.1 4.7 7.6 3.1 2.2 5.2 3.5 3.3 2.8 20.9 10.0 15.3 7.0 5.8 10.2 12.1 11.7 12.5 14.4 16.8 3.4 8.9 4.3 22.4 4.8 26.4 12.1 41.1 32.5 51.3 20.3 27.4 8.5 26.2 14.3 12.0 17.9 3.4 3.4 5.5 5.5 7.0 7.0 3.6 3.6 45.7 45.7 9.3 5.9 1.3 13.9 7.4 4.2 4.2 3.0 1.6 2.8 5.3 9.8



New Haven-Milford, CT. . . . . . . . . . . . . . . . . New Haven County, CT . . . . . . . . . . . . . . . New Orleans-Metairie-Kenner, LA . . . . . . . . . . Jefferson Parish, LA . . . . . . . . . . . . . . . . . Orleans Parish, LA . . . . . . . . . . . . . . . . . . Plaquemines Parish, LA. . . . . . . . . . . . . . . St. Bernard Parish, LA. . . . . . . . . . . . . . . . St. Charles Parish, LA . . . . . . . . . . . . . . . . St. John the Baptist Parish, LA . . . . . . . . . . St. Tammany Parish, LA . . . . . . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA. . . . . . . . . . . . . . . . . . . . . . . . . Edison, NJ . . . . . . . . . . . . . . . . . . . . . . . Middlesex County, NJ . . . . . . . . . . . . . . Monmouth County, NJ . . . . . . . . . . . . . . Ocean County, NJ . . . . . . . . . . . . . . . . . Somerset County, NJ . . . . . . . . . . . . . . . Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . Nassau County, NY . . . . . . . . . . . . . . . . Suffolk County, NY . . . . . . . . . . . . . . . . Newark-Union, NJ-PA . . . . . . . . . . . . . . . . Essex County, NJ . . . . . . . . . . . . . . . . . Hunterdon County, NJ . . . . . . . . . . . . . . Morris County, NJ . . . . . . . . . . . . . . . . . Sussex County, NJ . . . . . . . . . . . . . . . . Union County, NJ . . . . . . . . . . . . . . . . . Pike County, PA . . . . . . . . . . . . . . . . . . New York-White Plains-Wayne, NY-NJ . . . . . Bergen County, NJ . . . . . . . . . . . . . . . . Hudson County, NJ . . . . . . . . . . . . . . . . Passaic County, NJ . . . . . . . . . . . . . . . . Bronx County, NY . . . . . . . . . . . . . . . . . Kings County, NY . . . . . . . . . . . . . . . . . New York County, NY . . . . . . . . . . . . . . Putnam County, NY . . . . . . . . . . . . . . . . Queens County, NY. . . . . . . . . . . . . . . . Richmond County, NY . . . . . . . . . . . . . . Rockland County, NY. . . . . . . . . . . . . . . Westchester County, NY. . . . . . . . . . . . . Niles-Benton Harbor, MI . . Berrien County, MI . . . . Norwich-New London, CT . New London County, CT Ocala, FL . . . . . . . . . . . . Marion County, FL . . . . Ocean City, NJ . . . . . . . Cape May County, NJ . Odessa, TX . . . . . . . . . Ector County, TX . . . . Ogden-Clearfield, UT . . . Davis County, UT . . . . Morgan County, UT. . . Weber County, UT . . . Oklahoma City, OK . . . . Canadian County, OK . Cleveland County, OK . Grady County, OK . . . Lincoln County, OK . . . Logan County, OK . . . McClain County, OK . . Oklahoma County, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



200



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Olympia, WA. . . . . . . . . . . . Thurston County, WA . . . . Omaha-Council Bluffs, NE-IA . Harrison County, IA. . . . . . Mills County, IA . . . . . . . . Pottawattamie County, IA . . Cass County, NE . . . . . . . Douglas County, NE . . . . . Sarpy County, NE. . . . . . . Saunders County, NE . . . . Washington County, NE . . . Orlando - Kissimee, FL . . Lake County, FL. . . . . Orange County, FL . . . Osceola County, FL . . Seminole County, FL. . Oshkosh-Neenah, WI . . . Winnebago County, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228,867 228,867 813,170 15,884 15,284 89,738 25,734 486,929 139,371 20,458 19,772 1,933,255 277,035 1,023,023 231,578 401,619 159,482 159,482 111,599 93,060 8,613 9,926 796,106 796,106 531,250 531,250 161,558 161,558 162,529 62,210 7,376 5,896 87,047 157,199 21,259 135,940 439,877 296,772 143,105 369,161 13,217 182,328 6,169 129,999 37,448 5,823,233 1,245,902 450,743 518,249 276,910 3,890,181 621,342 474,027 555,648 775,883 1,463,281 687,150 523,008 97,796 66,346 3,865,077 3,635,528 229,549 104,865 8,903 81,700 14,262 2,386,074 1,235,841 70,586 177,377 182,087 146,142 206,406 367,635 131,868 131,868 2004 (July 1) 224,661 224,661 802,247 15,811 14,995 89,208 25,553 481,203 135,707 20,235 19,535 1,863,086 261,845 989,873 220,127 391,241 158,664 158,664 111,028 92,646 8,445 9,937 796,165 796,165 518,812 518,812 157,811 157,811 162,931 62,630 7,437 5,850 87,014 155,847 20,750 135,097 434,812 296,739 138,073 367,451 13,190 182,129 6,186 129,007 36,939 5,798,956 1,237,060 448,656 515,620 272,784 3,882,313 617,214 466,043 554,426 773,375 1,471,255 679,583 518,728 95,536 65,319 3,713,291 3,498,587 214,704 105,223 8,770 82,162 14,291 2,397,767 1,247,512 71,373 178,120 180,664 146,842 205,319 367,937 132,397 132,397 20001 (estimates base) 207,355 207,355 767,140 15,666 14,547 87,803 24,334 463,585 122,595 19,830 18,780 1,644,563 210,527 896,344 172,493 365,199 156,763 156,763 109,875 91,545 8,392 9,938 753,197 753,197 476,230 476,230 148,217 148,217 164,624 63,251 7,514 5,873 87,986 150,564 19,144 131,420 412,153 294,410 117,743 366,875 13,156 183,433 6,332 128,485 35,469 5,687,141 1,186,996 423,391 508,932 254,673 3,849,644 597,632 433,501 551,974 748,987 1,517,550 650,501 500,265 85,951 64,285 3,251,876 3,072,335 179,541 107,345 8,571 84,282 14,492 2,431,087 1,281,666 72,392 181,412 174,083 148,644 202,897 369,993 134,953 134,953 19902 (April 1) 161,238 161,238 685,797 14,730 13,202 82,628 21,318 416,444 102,583 18,285 16,607 1,224,844 152,104 677,491 107,728 287,521 140,320 140,320 104,681 87,189 7,864 9,628 669,016 669,016 398,978 398,978 126,994 126,994 161,907 62,254 7,546 5,192 86,915 131,916 16,673 115,243 344,406 262,798 81,608 358,552 12,846 182,827 6,534 123,692 32,653 5,435,550 1,127,972 395,066 502,824 230,082 3,728,991 541,174 376,396 547,651 678,193 1,585,577 578,587 441,946 71,347 65,294 2,238,498 2,122,101 116,397 106,958 7,781 85,487 13,690 2,468,289 1,336,449 73,478 186,093 152,013 145,351 204,584 370,321 139,352 139,352 2000– 20053 21,512 21,512 46,030 218 737 1,935 1,400 23,344 16,776 628 992 288,692 66,508 126,679 59,085 36,420 2,719 2,719 1,724 1,515 221 −12 42,909 42,909 55,020 55,020 13,341 13,341 −2,095 −1,041 −138 23 −939 6,635 2,115 4,520 27,724 2,362 25,362 2,286 61 −1,105 −163 1,514 1,979 136,092 58,906 27,352 9,317 22,237 40,537 23,710 40,526 3,674 26,896 −54,269 36,649 22,743 11,845 2,061 613,201 563,193 50,008 −2,480 332 −2,582 −230 −45,013 −45,825 −1,806 −4,035 8,004 −2,502 3,509 −2,358 −3,085 −3,085 1990– 2000 46,117 46,117 81,343 936 1,345 5,175 3,016 47,141 20,012 1,545 2,173 419,719 58,423 218,853 64,765 77,678 16,443 16,443 5,194 4,356 528 310 84,181 84,181 77,252 77,252 21,223 21,223 2,717 997 −32 681 1,071 18,648 2,471 16,177 67,747 31,612 36,135 8,323 310 606 −202 4,793 2,816 251,591 59,024 28,325 6,108 24,591 120,653 56,458 57,105 4,323 70,794 −68,027 71,914 58,319 14,604 −1,009 1,013,378 950,234 63,144 387 790 −1,205 802 −37,202 −54,783 −1,086 −4,681 22,070 3,293 −1,687 −328 −4,399 −4,399 2000– 20053 10.4 10.4 6.0 1.4 5.1 2.2 5.8 5.0 13.7 3.2 5.3 17.6 31.6 14.1 34.3 10.0 1.7 1.7 1.6 1.7 2.6 −0.1 5.7 5.7 11.6 11.6 9.0 9.0 −1.3 −1.6 −1.8 0.4 −1.1 4.4 11.0 3.4 6.7 0.8 21.5 0.6 0.5 −0.6 −2.6 1.2 5.6 2.4 5.0 6.5 1.8 8.7 1.1 4.0 9.3 0.7 3.6 −3.6 5.6 4.5 13.8 3.2 18.9 18.3 27.9 −2.3 3.9 −3.1 −1.6 −1.9 −3.6 −2.5 −2.2 4.6 −1.7 1.7 −0.6 −2.3 −2.3 1990– 2000 28.6 28.6 11.9 6.4 10.2 6.3 14.1 11.3 19.5 8.4 13.1 34.3 38.4 32.3 60.1 27.0 11.7 11.7 5.0 5.0 6.7 3.2 12.6 12.6 19.4 19.4 16.7 16.7 1.7 1.6 −0.4 13.1 1.2 14.1 14.8 14.0 19.7 12.0 44.3 2.3 2.4 0.3 −3.1 3.9 8.6 4.6 5.2 7.2 1.2 10.7 3.2 10.4 15.2 0.8 10.4 −4.3 12.4 13.2 20.5 −1.5 45.3 44.8 54.2 0.4 10.2 −1.4 5.9 −1.5 −4.1 −1.5 −2.5 14.5 2.3 −0.8 −0.1 −3.2 −3.2 Net change Percent change Percent— Black or African American alone, 2003 2.6 2.6 7.8 0.1 0.3 0.9 0.2 11.6 4.2 0.1 0.5 15.7 8.7 20.8 9.2 10.5 1.2 1.2 3.9 4.5 0.9 0.4 2.2 2.2 9.0 9.0 11.1 11.1 1.0 1.0 0.6 0.4 1.1 20.1 9.0 21.8 17.6 23.7 4.2 8.8 0.4 16.8 0.1 0.9 0.5 20.6 16.5 16.4 20.2 9.6 22.3 3.2 6.0 16.3 7.8 45.1 17.9 20.9 3.7 15.2 4.0 4.0 3.2 46.4 13.8 52.1 33.3 8.0 12.7 0.9 6.0 0.9 3.6 3.3 2.1 2.2 2.2



65 years and over, 2003 11.5 11.5 10.9 17.2 12.3 13.7 12.2 10.7 7.3 15.1 12.9 12.3 26.0 9.7 11.1 10.7 12.5 12.5 13.7 13.9 11.0 14.2 10.5 10.5 20.0 20.0 14.0 14.0 15.5 15.5 14.8 14.1 15.8 10.9 10.7 10.9 13.2 13.9 11.7 14.7 18.7 14.0 18.8 15.2 14.3 13.1 12.2 12.6 12.3 11.5 13.7 12.8 11.9 14.9 14.8 13.5 11.6 11.4 10.5 14.3 11.4 11.2 15.0 12.8 14.2 12.8 12.0 17.3 17.3 17.9 18.3 14.3 17.9 17.3 18.2 17.8 17.8



Asian alone, 2003 4.7 4.7 1.8 0.2 0.3 0.7 0.5 2.3 2.1 0.2 0.4 3.2 1.1 4.0 2.5 3.0 2.1 2.1 0.4 0.5 0.2 0.1 5.8 5.8 1.7 1.7 1.9 1.9 0.6 0.5 0.3 0.3 0.6 1.7 0.2 1.9 2.2 2.6 1.5 1.3 0.3 2.1 0.2 0.6 0.4 3.8 3.2 3.2 4.0 1.7 4.3 2.9 2.6 3.9 4.9 5.1 2.6 3.2 0.7 0.7 2.4 2.5 0.8 0.6 0.1 0.8 0.1 1.3 2.1 0.1 0.3 0.7 0.3 0.5 0.6 1.2 1.2



Hispanic or Latino origin, 20034 4.8 4.8 5.8 0.8 1.4 3.5 1.5 7.6 4.3 1.2 1.1 19.0 7.6 21.2 34.3 12.6 2.1 2.1 1.0 1.0 1.0 1.1 35.3 35.3 5.2 5.2 2.1 2.1 0.5 0.5 0.4 0.3 0.5 2.1 2.1 2.1 2.1 2.0 2.5 1.8 1.5 2.5 0.9 1.2 0.8 5.4 6.8 4.7 10.7 2.9 4.9 2.4 3.6 1.6 2.2 9.1 5.1 5.9 1.5 4.4 28.1 28.0 30.5 1.1 1.9 1.0 1.6 0.7 0.9 0.5 0.8 0.5 0.4 0.6 0.5 2.0 2.0



Owensboro, KY . . . . . . . . . . . . . . . Daviess County, KY . . . . . . . . . . Hancock County, KY . . . . . . . . . . McLean County, KY . . . . . . . . . . Oxnard-Thousand Oaks-Ventura, CA. Ventura County, CA . . . . . . . . . . Palm Bay-Melbourne-Titusville, FL . . Brevard County, FL. . . . . . . . . . . Panama City-Lynn Haven, FL . . . . . Bay County, FL . . . . . . . . . . . . . Parkersburg-Marietta-Vienna, WV-OH Washington County, OH . . . . . . . Pleasants County, WV. . . . . . . . . Wirt County, WV. . . . . . . . . . . . . Wood County, WV . . . . . . . . . . . Pascagoula, MS . . . . . . . . . . . . . George County, MS . . . . . . . . . Jackson County, MS . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . Escambia County, FL . . . . . . . . Santa Rosa County, FL . . . . . . . Peoria, IL . . . . . . . . . . . . . . . . . . Marshall County, IL . . . . . . . . . . Peoria County, IL . . . . . . . . . . . Stark County, IL . . . . . . . . . . . . Tazewell County, IL. . . . . . . . . . Woodford County, IL . . . . . . . . . Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . . . . . . . . Camden, NJ . . . . . . . . . . . . . . Burlington County, NJ . . . . . . Camden County, NJ . . . . . . . Gloucester County, NJ . . . . . . Philadelphia, PA . . . . . . . . . . . . Bucks County, PA . . . . . . . . . Chester County, PA . . . . . . . . Delaware County, PA . . . . . . . Montgomery County, PA . . . . . Philadelphia County, PA . . . . . Wilmington, DE-MD-NJ . . . . . . . New Castle County, DE . . . . . Cecil County, MD . . . . . . . . . Salem County, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . Maricopa County, AZ. . . . . . . . . . . . . . . . . . . . Pinal County, AZ . . . . . . . . . . . . . . . . . . . . . . Pine Bluff, AR . . . . . . . . Cleveland County, AR . Jefferson County, AR . Lincoln County, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Pittsburgh, PA . . . . . . . . . . Allegheny County, PA . . . Armstrong County, PA . . . Beaver County, PA . . . . . Butler County, PA . . . . . . Fayette County, PA . . . . . Washington County, PA . . Westmoreland County, PA Pittsfield, MA. . . . . . . . . . . Berkshire County, MA . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



201



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Pocatello, ID . . . . . . . . . . . . . . . . . . . Bannock County, ID . . . . . . . . . . . . Power County, ID . . . . . . . . . . . . . . Portland-South Portland-Biddeford, ME . Cumberland County, ME . . . . . . . . . Sagadahoc County, ME . . . . . . . . . . York County, ME . . . . . . . . . . . . . . Portland-Vancouver-Beaverton, OR-WA . Clackamas County, OR . . . . . . . . . . Columbia County, OR . . . . . . . . . . . Multnomah County, OR . . . . . . . . . . Washington County, OR Yamhill County, OR. . . . Clark County, WA . . . . . Skamania County, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85,908 78,155 7,753 514,227 274,950 36,962 202,315 2,095,861 368,470 48,065 672,906 499,794 92,196 403,766 10,664 381,033 139,728 241,305 667,742 294,849 372,893 198,701 198,701 1,622,520 546,331 52,743 171,590 83,740 639,653 128,463 452,851 9,113 443,738 151,322 151,322 157,536 157,536 195,708 195,708 949,681 54,429 146,437 748,815 118,203 24,623 93,580 396,314 396,314 179,904 179,904 393,946 4,074 389,872 1,175,654 12,273 25,563 7,119 288,876 9,378 25,391 19,360 97,426 280,581 6,796 14,732 30,020 16,107 26,598 36,725 12,071 17,567 22,690 32,604 193,777 2004 (July 1) 85,658 77,941 7,717 511,036 273,622 36,901 200,513 2,062,109 362,681 46,998 671,363 487,548 90,599 392,364 10,556 364,803 137,693 227,110 662,833 293,322 369,511 190,737 190,737 1,627,194 547,278 52,899 171,703 84,846 641,874 128,594 443,109 8,995 434,114 149,954 149,954 157,324 157,324 193,862 193,862 914,963 53,469 141,761 719,733 117,553 24,657 92,896 391,447 391,447 177,829 177,829 384,343 3,731 380,612 1,156,849 11,941 24,000 7,117 282,470 9,171 25,111 18,676 96,019 275,962 6,757 14,331 28,797 15,500 25,823 36,462 12,167 17,465 22,401 32,764 193,915 20001 (estimates base) 83,103 75,565 7,538 487,568 265,612 35,214 186,742 1,927,881 338,408 43,560 660,469 445,342 84,992 345,238 9,872 319,426 126,731 192,695 621,517 280,150 341,367 167,517 167,517 1,582,997 534,678 50,648 167,090 85,433 621,602 123,546 376,778 8,238 368,540 141,472 141,472 141,627 141,627 188,831 188,831 797,026 47,260 121,900 627,866 112,818 24,245 88,573 373,638 373,638 163,256 163,256 342,885 3,399 339,486 1,096,957 11,400 22,121 6,926 259,848 9,017 24,533 16,863 86,320 262,193 6,630 13,146 25,627 13,462 22,377 33,108 12,504 16,897 22,277 33,756 197,952 19902 (April 1) 73,112 66,026 7,086 441,257 243,135 33,535 164,587 1,523,741 278,850 37,557 583,887 311,554 65,551 238,053 8,289 251,071 100,900 150,171 567,109 259,462 307,647 107,714 107,714 1,509,789 506,325 48,859 161,135 87,194 596,270 110,006 269,407 5,817 263,590 123,051 123,051 110,975 110,975 175,034 175,034 544,020 36,414 81,306 426,300 103,221 21,878 81,343 336,523 336,523 147,036 147,036 257,193 2,526 254,667 949,244 8,787 19,217 6,282 209,564 7,825 22,319 14,163 63,306 217,849 6,289 10,913 20,325 10,445 15,328 27,394 10,248 16,064 23,101 37,027 202,798 2000– 20053 2,805 2,590 215 26,659 9,338 1,748 15,573 167,980 30,062 4,505 12,437 54,452 7,204 58,528 792 61,607 12,997 48,610 46,225 14,699 31,526 31,184 31,184 39,523 11,653 2,095 4,500 −1,693 18,051 4,917 76,073 875 75,198 9,850 9,850 15,909 15,909 6,877 6,877 152,655 7,169 24,537 120,949 5,385 378 5,007 22,676 22,676 16,648 16,648 51,061 675 50,386 78,697 873 3,442 193 29,028 361 858 2,497 11,106 18,388 166 1,586 4,393 2,645 4,221 3,617 −433 670 413 −1,152 −4,175 1990– 2000 9,991 9,539 452 46,311 22,477 1,679 22,155 404,140 59,558 6,003 76,582 133,788 19,441 107,185 1,583 68,355 25,831 42,524 54,408 20,688 33,720 59,803 59,803 73,208 28,353 1,789 5,955 −1,761 25,332 13,540 107,371 2,421 104,950 18,421 18,421 30,652 30,652 13,797 13,797 253,006 10,846 40,594 201,566 9,597 2,367 7,230 37,115 37,115 16,220 16,220 85,692 873 84,819 147,713 2,613 2,904 644 50,284 1,192 2,214 2,700 23,014 44,344 341 2,233 5,302 3,017 7,049 5,714 2,256 833 −824 −3,271 −4,846 2000– 20053 3.4 3.4 2.9 5.5 3.5 5.0 8.3 8.7 8.9 10.3 1.9 12.2 8.5 17.0 8.0 19.3 10.3 25.2 7.4 5.2 9.2 18.6 18.6 2.5 2.2 4.1 2.7 −2.0 2.9 4.0 20.2 10.6 20.4 7.0 7.0 11.2 11.2 3.6 3.6 19.2 15.2 20.1 19.3 4.8 1.6 5.7 6.1 6.1 10.2 10.2 14.9 19.9 14.8 7.2 7.7 15.6 2.8 11.2 4.0 3.5 14.8 12.9 7.0 2.5 12.1 17.1 19.6 18.9 10.9 −3.5 4.0 1.9 −3.4 −2.1 1990– 2000 13.7 14.4 6.4 10.5 9.2 5.0 13.5 26.5 21.4 16.0 13.1 42.9 29.7 45.0 19.1 27.2 25.6 28.3 9.6 8.0 11.0 55.5 55.5 4.8 5.6 3.7 3.7 −2.0 4.2 12.3 39.9 41.6 39.8 15.0 15.0 27.6 27.6 7.9 7.9 46.5 29.8 49.9 47.3 9.3 10.8 8.9 11.0 11.0 11.0 11.0 33.3 34.6 33.3 15.6 29.7 15.1 10.3 24.0 15.2 9.9 19.1 36.4 20.4 5.4 20.5 26.1 28.9 46.0 20.9 22.0 5.2 −3.6 −8.8 −2.4 Net change Percent change Percent— Black or African American alone, 2003 0.6 0.7 0.2 0.9 1.3 1.0 0.5 2.9 0.8 0.4 6.0 1.4 0.9 2.0 0.4 12.2 5.4 16.5 10.2 10.4 10.1 0.4 0.4 5.1 3.3 0.8 1.3 3.6 8.9 1.0 0.4 0.2 0.4 2.3 2.3 4.9 4.9 10.9 10.9 20.1 28.5 16.0 20.3 1.3 2.2 1.0 4.4 4.4 0.9 0.9 1.9 0.3 1.9 30.8 25.5 32.3 51.5 19.9 36.1 33.1 24.1 9.5 26.4 33.3 21.2 20.5 15.3 15.2 33.4 62.3 8.2 36.5 80.7 57.8



65 years and over, 2003 10.5 10.4 11.4 13.4 13.3 12.7 13.6 10.2 11.5 11.4 10.6 8.7 11.5 9.5 11.0 23.9 27.1 21.8 10.9 12.0 10.0 21.9 21.9 13.9 13.7 16.4 14.6 14.8 13.8 13.1 6.5 10.3 6.4 14.8 14.8 34.1 34.1 12.2 12.2 7.9 10.6 9.4 7.4 12.0 10.7 12.4 14.5 14.5 15.0 15.0 10.8 12.1 10.8 11.4 13.9 13.1 13.2 7.7 15.8 11.9 12.1 11.2 12.3 16.7 11.4 13.3 9.3 8.9 6.9 13.9 19.0 14.5 15.8 13.6



Asian alone, 2003 1.0 1.1 0.4 1.3 1.7 0.7 0.8 5.2 3.0 0.7 6.3 8.0 1.1 3.3 0.6 0.9 0.7 1.1 2.6 3.2 2.0 0.6 0.6 2.3 1.6 1.2 1.8 1.5 3.4 1.8 1.2 0.4 1.2 0.7 0.7 1.0 1.0 0.8 0.8 3.3 0.3 0.4 4.1 0.9 0.9 1.0 1.2 1.2 2.0 2.0 4.2 1.2 4.2 2.1 0.2 0.4 0.1 2.5 0.5 0.4 0.7 1.0 4.2 0.3 0.4 0.3 0.6 0.2 1.9 0.2 2.9 1.0 0.7 1.3



Hispanic or Latino origin, 20034 6.8 5.1 23.6 1.0 1.1 1.1 0.8 8.7 5.7 3.0 8.9 13.0 12.4 5.5 4.8 9.4 8.5 10.0 11.5 7.9 14.5 10.5 10.5 7.8 4.3 1.2 1.9 2.2 14.9 1.4 7.5 2.5 7.7 39.3 39.3 3.8 3.8 8.6 8.6 7.0 5.9 9.4 6.6 2.5 2.1 2.6 10.6 10.6 6.6 6.6 18.4 5.1 18.6 2.6 0.8 1.6 0.6 3.8 2.0 1.2 1.1 1.1 2.6 1.1 1.2 0.8 1.5 1.0 5.2 1.1 1.7 3.1 1.6 3.1



Port St. Lucie-Fort Pierce, FL. . . . . . . . . . . . . . . . Martin County, FL . . . . . . . . . . . . . . . . . . . . . . St. Lucie County, FL . . . . . . . . . . . . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Dutchess County, NY . . . . . . . . . . . . . Orange County, NY. . . . . . . . . . . . . . . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Yavapai County, AZ . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA. Bristol County, MA . . . . . . . . . . . . . . . Bristol County, RI . . . . . . . . . . . . . . . . Kent County, RI . . . . . . . . . . . . . . . . . Newport County, RI. . . . . . . . . . . . . . . Providence County, RI. . . . . . . . . . . . . Washington County, RI . . . . . . . . . . . . Provo-Orem, UT . . . . . . . . . . . . . . . . . . Juab County, UT . . . . . . . . . . . . . . . . Utah County, UT . . . . . . . . . . . . . . . . Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . Pueblo County, CO . . . . . . . . . . . . . . . Punta Gorda, FL . . . . . . . . . . . . . . . . . . Charlotte County, FL . . . . . . . . . . . . . . Racine, WI . . . . . . . . . . . . . . . . . . . . . . Racine County, WI . . . . . . . . . . . . . . . Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . Franklin County, NC . . . . . . . . . . . . . . Johnston County, NC . . . . . . . . . . . . . Wake County, NC . . . . . . . . . . . . . . . . Rapid City, SD . . . . . . . . . . . . . . . . . . . Meade County, SD . . . . . . . . . . . . . . . Pennington County, SD . . . . . . . . . . . . Reading, PA . . . . . . . . . . . . . . . . . . . . . Berks County, PA . . . . . . . . . . . . . . . . Redding, CA . . . . . . . . . . . . . . . . . . . . . Shasta County, CA . . . . . . . . . . . . . . . Reno-Sparks, NV. . . . . . . . . . . . . . . . . . Storey County, NV . . . . . . . . . . . . . . . Washoe County, NV . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . Amelia County, VA . . . . Caroline County, VA . . . Charles City County, VA Chesterfield County, VA . Cumberland County, VA. Dinwiddie County, VA . . Goochland County, VA . Hanover County, VA . . . Henrico County, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



King and Queen County, VA . King William County, VA . . . Louisa County, VA . . . . . . . New Kent County, VA . . . . . Powhatan County, VA . . . . . Prince George County, VA . . Sussex County, VA . . . . . . . Colonial Heights city, VA . . . Hopewell city, VA . . . . . . . . Petersburg city, VA . . . . . . . Richmond city, VA . . . . . . .



See footnotes at end of table.



202



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Riverside-San Bernardino-Ontario, CA . . . Riverside County, CA . . . . . . . . . . . . San Bernardino County, CA . . . . . . . . Roanoke, VA. . . . . . . . . . . . . . . . . . . . Botetourt County, VA. . . . . . . . . . . . . Craig County, VA . . . . . . . . . . . . . . . Franklin County, VA . . . . . . . . . . . . . Roanoke County, VA . . . . . . . . . . . . . Roanoke city, VA . . . . . . . . . . . . . . . Salem city, VA . . . . . . . . . . . . . . . . . Rochester, MN . . . . . . . . . . . . . . . . . . Dodge County, MN . . . . . . . . . . . . . . Olmsted County, MN . . . . . . . . . . . . . Wabasha County, MN . . . . . . . . . . . . Rochester, NY. . . . . . . . . . . . . . . . . . . Livingston County, NY . . . . . . . . . . . . Monroe County, NY . . . . . . . . . . . . . Ontario County, NY. . . . . . . . . . . . . . Orleans County, NY . . . . . . . . . . . . . Wayne County, NY . . . . . . . . . . . . . . Rockford, IL . . . . . . . . . . . . . . . . . . . . Boone County, IL . . . . . . . . . . . . . . . Winnebago County, IL . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . Edgecombe County, NC . . . . . . . . . . Nash County, NC . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . Floyd County, GA . . . . . . . . . . . . . . . Sacramento-Arden-Arcade-Roseville, CA . El Dorado County, CA . . . . . . . . . . . . Placer County, CA . . . . . . . . . . . . . . Sacramento County, CA . . . . . . . . . . Yolo County, CA . . . . . . . . . . . . . . . . Saginaw-Saginaw Township North, MI . . . Saginaw County, MI . . . . . . . . . . . . . St. Cloud, MN . . . . . . . . . . . . . . . . . . . Benton County, MN. . . . . . . . . . . . . . Stearns County, MN . . . . . . . . . . . . . St. George, UT . . . . . . . . . . . . . . . . . . Washington County, UT . . . . . . . . . . . St. Joseph, MO-KS . . . . . . . . . . . . . . . Doniphan County, KS . . . . . . . . . . . . Andrew County, MO . . . . . . . . . . . . . Buchanan County, MO . . . . . . . . . . . DeKalb County, MO . . . . . . . . . . . . . St. Louis, MO-IL6 . . . . . . . . . . . . . . . . . Bond County, IL . . . . . . . . . . . . . . . . Calhoun County, IL . . . . . . . . . . . . . . Clinton County, IL . . . . . . . . . . . . . . . Jersey County, IL . . . . . . . . . . . . . . . Macoupin County, IL . . . . . . . . . . . . . Madison County, IL . . . . . . . . . . . . . . Monroe County, IL . . . . . . . . . . . . . . St. Clair County, IL . . . . . . . . . . . . . . Franklin County, MO . . . . . . . . . . . . . Jefferson County, MO . . . . . . . . . . . . Lincoln County, MO . . . St. Charles County, MO . St. Louis County, MO . . Warren County, MO . . . Washington County, MO St. Louis city, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,909,954 1,946,419 1,963,535 292,983 32,027 5,154 50,345 88,172 92,631 24,654 176,984 19,595 135,189 22,200 1,039,028 64,205 733,366 104,461 43,387 93,609 339,178 50,483 288,695 145,507 54,129 91,378 94,198 94,198 2,042,283 176,841 317,028 1,363,482 184,932 208,356 208,356 181,159 38,505 142,654 118,885 118,885 121,961 7,816 16,899 84,904 12,342 2,778,518 18,027 5,163 36,095 22,456 49,111 264,309 31,040 260,067 99,090 213,669 47,727 329,940 1,004,666 28,764 24,032 344,362 375,560 305,265 70,295 412,104 412,104 116,247 25,845 90,402 1,034,484 948,172 35,001 51,311 2004 (July 1) 3,785,883 1,869,465 1,916,418 291,177 31,747 5,173 49,669 87,511 92,570 24,507 174,821 19,357 133,268 22,196 1,041,060 64,511 735,816 103,415 43,583 93,735 334,754 48,471 286,283 145,033 54,350 90,683 94,053 94,053 2,014,594 172,723 306,305 1,351,428 184,138 209,249 209,249 179,176 38,105 141,071 110,425 110,425 122,011 7,990 16,882 84,801 12,338 2,768,641 18,041 5,156 36,107 22,344 49,073 263,443 30,491 259,123 98,029 210,466 45,733 320,459 1,007,723 27,822 23,926 350,705 369,573 301,702 67,871 414,551 414,551 114,372 25,764 88,608 1,018,514 934,838 33,937 49,739 20001 (estimates base) 3,254,821 1,545,387 1,709,434 288,254 30,496 5,091 47,283 85,726 94,911 24,747 163,618 17,731 124,277 21,610 1,037,831 64,328 735,343 100,224 44,171 93,765 320,204 41,786 278,418 142,991 55,606 87,385 90,565 90,565 1,796,857 156,299 248,399 1,223,499 168,660 210,042 210,042 167,396 34,227 133,169 90,354 90,354 123,822 8,249 16,492 86,004 13,077 2,698,672 17,631 5,084 35,531 21,668 49,019 258,952 27,619 256,067 93,807 198,099 38,944 283,893 1,016,300 24,525 23,344 348,189 347,218 284,838 62,380 401,762 401,762 109,391 24,747 84,644 968,883 898,412 29,736 40,735 19902 (April 1) 2,588,793 1,170,413 1,418,380 268,513 24,992 4,372 39,549 79,294 96,509 23,797 141,945 15,731 106,470 19,744 1,002,410 62,372 713,968 95,101 41,846 89,123 283,719 30,806 252,913 133,369 56,692 76,677 81,251 81,251 1,481,220 125,995 172,796 1,041,219 141,210 211,946 211,946 149,509 30,185 119,324 48,560 48,560 115,816 8,134 14,632 83,083 9,967 2,580,720 14,991 5,322 33,944 20,539 47,679 249,238 22,422 262,852 80,603 171,380 28,892 212,751 993,508 19,534 20,380 396,685 278,024 228,483 49,541 355,660 355,660 97,779 23,440 74,339 768,075 725,956 15,518 26,601 2000– 20053 655,133 401,032 254,101 4,729 1,531 63 3,062 2,446 −2,280 −93 13,366 1,864 10,912 590 1,197 −123 −1,977 4,237 −784 −156 18,974 8,697 10,277 2,516 −1,477 3,993 3,633 3,633 245,426 20,542 68,629 139,983 16,272 −1,686 −1,686 13,763 4,278 9,485 28,531 28,531 −1,861 −433 407 −1,100 −735 79,846 396 79 564 788 92 5,357 3,421 4,000 5,283 15,570 8,783 46,047 −11,634 4,239 688 −3,827 28,342 20,427 7,915 10,342 10,342 6,856 1,098 5,758 65,601 49,760 5,265 10,576 1990– 2000 666,028 374,974 291,054 19,741 5,504 719 7,734 6,432 −1,598 950 21,673 2,000 17,807 1,866 35,421 1,956 21,375 5,123 2,325 4,642 36,485 10,980 25,505 9,622 −1,086 10,708 9,314 9,314 315,637 30,304 75,603 182,280 27,450 −1,904 −1,904 17,887 4,042 13,845 41,794 41,794 8,006 115 1,860 2,921 3,110 117,952 2,640 −238 1,587 1,129 1,340 9,714 5,197 −6,785 13,204 26,719 10,052 71,142 22,792 4,991 2,964 −48,496 69,194 56,355 12,839 46,102 46,102 11,612 1,307 10,305 200,808 172,456 14,218 14,134 2000– 20053 20.1 26.0 14.9 1.6 5.0 1.2 6.5 2.9 −2.4 −0.4 8.2 10.5 8.8 2.7 0.1 −0.2 −0.3 4.2 −1.8 −0.2 5.9 20.8 3.7 1.8 −2.7 4.6 4.0 4.0 13.7 13.1 27.6 11.4 9.6 −0.8 −0.8 8.2 12.5 7.1 31.6 31.6 −1.5 −5.2 2.5 −1.3 −5.6 3.0 2.2 1.6 1.6 3.6 0.2 2.1 12.4 1.6 5.6 7.9 22.6 16.2 −1.1 17.3 2.9 −1.1 8.2 7.2 12.7 2.6 2.6 6.3 4.4 6.8 6.8 5.5 17.7 26.0 1990– 2000 25.7 32.0 20.5 7.4 22.0 16.4 19.6 8.1 −1.7 4.0 15.3 12.7 16.7 9.5 3.5 3.1 3.0 5.4 5.6 5.2 12.9 35.6 10.1 7.2 −1.9 14.0 11.5 11.5 21.3 24.1 43.8 17.5 19.4 −0.9 −0.9 12.0 13.4 11.6 86.1 86.1 6.9 1.4 12.7 3.5 31.2 4.6 17.6 −4.5 4.7 5.5 2.8 3.9 23.2 −2.6 16.4 15.6 34.8 33.4 2.3 25.6 14.5 −12.2 24.9 24.7 25.9 13.0 13.0 11.9 5.6 13.9 26.1 23.8 91.6 53.1 Net change Percent change Percent— Black or African American alone, 2003 8.2 6.6 9.7 12.5 3.9 0.5 8.9 4.1 27.5 6.4 2.4 0.2 3.1 0.3 11.8 3.2 15.2 2.5 7.3 3.4 9.6 1.4 11.0 44.1 58.5 35.2 13.2 13.2 7.5 0.8 1.2 10.4 2.4 19.4 19.4 1.2 1.3 1.2 0.3 0.3 4.6 2.5 0.7 4.4 11.7 18.1 7.0 0.1 4.0 0.7 1.0 7.6 0.1 29.3 0.9 0.7 1.8 3.2 20.8 2.2 2.8 52.0 1.0 1.0 0.6 4.0 4.0 26.9 40.6 22.8 1.3 1.3 0.3 1.5



65 years and over, 2003 10.0 11.9 8.3 15.6 13.7 13.4 14.9 15.5 16.6 16.7 11.7 11.5 11.2 15.0 13.0 11.7 13.1 13.5 12.7 12.5 12.4 10.4 12.7 12.5 12.1 12.8 13.6 13.6 11.2 11.9 13.5 10.8 9.3 13.5 13.5 11.1 10.3 11.3 16.9 16.9 14.5 15.5 13.4 14.8 13.4 12.8 14.4 18.8 14.6 14.5 16.9 13.9 13.3 12.8 12.3 9.5 10.0 9.3 14.0 12.7 11.9 12.7 12.5 12.0 15.0 9.9 9.9 13.0 13.5 12.8 8.0 8.2 5.2 6.7



Asian alone, 2003 4.6 4.2 5.1 1.2 0.7 0.2 0.3 1.7 1.3 1.0 3.9 0.5 5.0 0.5 2.2 0.9 2.8 0.8 0.4 0.6 1.8 0.8 2.0 0.5 0.2 0.6 1.0 1.0 10.0 2.3 3.8 12.3 10.7 0.9 0.9 1.6 1.2 1.7 0.5 0.5 0.5 0.3 0.3 0.6 0.3 1.7 0.3 0.2 0.3 0.3 0.2 0.7 0.3 1.1 0.3 0.5 0.2 1.2 2.8 0.2 0.2 2.2 1.8 1.9 1.3 6.3 6.3 1.6 0.7 1.9 2.8 3.0 1.1 0.7



Hispanic or Latino origin, 20034 40.9 39.1 42.6 1.4 0.7 0.3 1.3 1.3 1.9 1.1 2.4 3.0 2.4 2.0 5.2 2.6 6.1 2.8 3.9 3.0 9.5 15.4 8.5 3.5 3.2 3.7 6.5 6.5 16.9 10.4 10.4 17.7 27.1 6.9 6.9 1.5 1.0 1.6 5.7 5.7 2.0 1.6 0.9 2.4 1.2 1.7 2.0 0.7 1.9 0.7 0.7 1.8 1.2 2.8 0.7 1.1 1.2 1.6 1.5 1.6 0.8 2.1 17.8 19.7 9.3 49.7 49.7 2.0 1.5 2.2 13.0 13.4 9.0 9.1



Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . Marion County, OR . . . . . . . . . . . . . . . . . . . . . Polk County, OR . . . . . . . . . . . . . . . . . . . . . . Salinas, CA . . . . . . . . . Monterey County, CA . Salisbury, MD . . . . . . . . Somerset County, MD . Wicomico County, MD . Salt Lake City, UT . . . . . Salt Lake County, UT . Summit County, UT. . . Tooele County, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



203



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . Irion County, TX . . . . . . . . . . . . . . . . . . . . Tom Green County, TX . . . . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . . . . . . . . Atascosa County, TX. . . . . . . . . . . . . . . . . Bandera County, TX . . . . . . . . . . . . . . . . . Bexar County, TX . . . . . . . . . . . . . . . . . . . Comal County, TX . . . . . . . . . . . . . . . . . . Guadalupe County, TX . . . . . . . . . . . . . . . Kendall County, TX . . . . . . . . . . . . . . . . . . Medina County, TX . . . . . . . . . . . . . . . . . . Wilson County, TX . . . . . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA . . . . . . . San Diego County, CA . . . . . . . . . . . . . . . Sandusky, OH . . . . . . . . . . . . . . . . . . . . . . . Erie County, OH . . . . . . . . . . . . . . . . . . . . San Francisco-Oakland-Fremont, CA . . . . . . Oakland-Fremont-Hayward, CA. . . . . . . . . . Alameda County, CA . . . . . . . . . . . . . . . Contra Costa County, CA . . . . . . . . . . . . San Francisco-San Mateo-Redwood City, CA Marin County, CA . . . . . . . . . . . . . . . . . San Francisco County, CA . . . . . . . . . . . San Mateo County, CA. . . . . . . . . . . . . . San Jose-Sunnyvale-Santa Clara, CA . . . . . . . San Benito County, CA . . . . . . . . . . . . . . . Santa Clara County, CA. . . . . . . . . . . . . . . San Luis Obispo-Paso Robles, CA . . . . . . . . . San Luis Obispo County, CA . . . . . . . . . . . Santa Barbara-Santa Maria, CA . . . . . . . . . . . Santa Barbara County, CA . . . . . . . . . . . . . Santa Cruz-Watsonville, CA. . . . . . . . . . . . . . Santa Cruz County, CA . . . . . . . . . . . . . . . Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . Santa Fe County, NM . . . . . . . . . . . . . . . . Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . Sonoma County, CA . . . . . . . . . . . . . . . . . Sarasota-Bradenton-Venice, FL . . . . . . . . . . . Manatee County, FL . . . . . . . . . . . . . . . . . Sarasota County, FL . . . . . . . . . . . . . . . . . Savannah, GA . . . . . . . . . . . . . . . . . . . . . . Bryan County, GA. . . . . . . . . . . . . . . . . . . Chatham County, GA . . . . . . . . . . . . . . . . Effingham County, GA . . . . . . . . . . . . . . . . Scranton—Wilkes-Barre, PA . . . . . . . . . . . . . Lackawanna County, PA . . . . . . . . . . . . . . Luzerne County, PA . . . . . . . . . . . . . . . . . Wyoming County, PA . . . . . . . . . . . . . . . . Seattle-Tacoma-Bellevue, WA . . . . . . . . . . . Seattle-Bellevue-Everett, WA . . . . . . . . . . . King County, WA. . . . . . . . . . . . . . . . . . Snohomish County, WA . . . . . . . . . . . . . Tacoma, WA . . . . . . . . . . . . . . . . . . . . . . Pierce County, WA . . . . . . . . . . . . . . . . Sheboygan, WI . . . . . . . Sheboygan County, WI Sherman-Denison, TX . . Grayson County, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105,367 1,756 103,611 1,889,797 43,226 19,988 1,518,370 96,018 103,032 28,607 43,027 37,529 2,933,462 2,933,462 78,665 78,665 4,152,688 2,466,692 1,448,905 1,017,787 1,685,996 246,960 739,426 699,610 1,754,988 55,936 1,699,052 255,478 255,478 400,762 400,762 249,666 249,666 140,855 140,855 466,477 466,477 673,035 306,779 366,256 313,883 28,549 238,410 46,924 550,546 209,525 312,861 28,160 3,203,314 2,449,527 1,793,583 655,944 753,787 753,787 114,610 114,610 116,834 116,834 383,233 105,541 251,309 26,383 142,571 102,605 20,349 6,155 13,462 207,918 33,381 5,930 160,087 8,520 318,156 266,160 51,996 2004 (July 1) 105,538 1,729 103,809 1,852,508 42,688 19,686 1,492,361 91,839 99,541 27,342 42,312 36,739 2,935,190 2,935,190 78,976 78,976 4,146,980 2,459,702 1,452,096 1,007,606 1,687,278 245,929 743,193 698,156 1,737,961 55,981 1,681,980 254,436 254,436 401,708 401,708 250,837 250,837 139,166 139,166 467,932 467,932 651,696 295,974 355,722 310,327 27,473 238,339 44,515 551,214 209,950 313,088 28,176 3,167,729 2,421,951 1,777,746 644,205 745,778 745,778 113,899 113,899 115,855 115,855 380,785 103,722 250,893 26,170 143,116 103,206 20,518 6,122 13,270 203,186 31,524 5,893 157,158 8,611 317,490 265,718 51,772 20001 (estimates base) 105,781 1,771 104,010 1,711,726 38,628 17,645 1,392,931 78,021 89,046 23,743 39,304 32,408 2,813,833 2,813,833 79,551 79,551 4,123,742 2,392,557 1,443,741 948,816 1,731,185 247,289 776,733 707,163 1,735,819 53,234 1,682,585 246,681 246,681 399,347 399,347 255,602 255,602 129,288 129,288 458,614 458,614 589,963 264,002 325,961 293,299 23,417 232,347 37,535 560,625 213,295 319,250 28,080 3,043,885 2,343,067 1,737,043 606,024 700,818 700,818 112,656 112,656 110,595 110,595 375,965 98,357 252,116 25,492 143,053 103,877 20,253 6,339 12,584 187,093 24,147 5,832 148,265 8,849 316,661 265,559 51,102 19902 (April 1) 100,087 1,629 98,458 1,407,745 30,533 10,562 1,185,394 51,832 64,873 14,589 27,312 22,650 2,498,016 2,498,016 76,779 76,779 3,684,112 2,080,434 1,276,702 803,732 1,603,678 230,096 723,959 649,623 1,534,274 36,697 1,497,577 217,162 217,162 369,608 369,608 229,734 229,734 98,928 98,928 388,222 388,222 489,483 211,707 277,776 257,899 15,438 216,774 25,687 575,322 219,097 328,149 28,076 2,559,136 1,972,933 1,507,305 465,628 586,203 586,203 103,877 103,877 95,019 95,019 359,687 86,088 248,253 25,346 131,350 98,276 16,742 6,143 10,189 153,500 15,427 5,688 123,809 8,576 296,529 247,052 49,477 2000– 20053 −414 −15 −399 178,071 4,598 2,343 125,439 17,997 13,986 4,864 3,723 5,121 119,629 119,629 −886 −886 28,946 74,135 5,164 68,971 −45,189 −329 −37,307 −7,553 19,169 2,702 16,467 8,797 8,797 1,415 1,415 −5,936 −5,936 11,567 11,567 7,863 7,863 83,072 42,777 40,295 20,584 5,132 6,063 9,389 −10,079 −3,770 −6,389 80 159,429 106,460 56,540 49,920 52,969 52,969 1,954 1,954 6,239 6,239 7,268 7,184 −807 891 −482 −1,272 96 −184 878 20,825 9,234 98 11,822 −329 1,495 601 894 1990– 2000 5,694 142 5,552 303,981 8,095 7,083 207,537 26,189 24,173 9,154 11,992 9,758 315,817 315,817 2,772 2,772 439,630 312,123 167,039 145,084 127,507 17,193 52,774 57,540 201,545 16,537 185,008 29,519 29,519 29,739 29,739 25,868 25,868 30,360 30,360 70,392 70,392 100,480 52,295 48,185 35,400 7,979 15,573 11,848 −14,697 −5,802 −8,899 4 484,749 370,134 229,738 140,396 114,615 114,615 8,779 8,779 15,576 15,576 16,278 12,269 3,863 146 11,703 5,601 3,511 196 2,395 33,593 8,720 144 24,456 273 20,132 18,507 1,625 2000– 20053 −0.4 −0.8 −0.4 10.4 11.9 13.3 9.0 23.1 15.7 20.5 9.5 15.8 4.3 4.3 −1.1 −1.1 0.7 3.1 0.4 7.3 −2.6 −0.1 −4.8 −1.1 1.1 5.1 1.0 3.6 3.6 0.4 0.4 −2.3 −2.3 8.9 8.9 1.7 1.7 14.1 16.2 12.4 7.0 21.9 2.6 25.0 −1.8 −1.8 −2.0 0.3 5.2 4.5 3.3 8.2 7.6 7.6 1.7 1.7 5.6 5.6 1.9 7.3 −0.3 3.5 −0.3 −1.2 0.5 −2.9 7.0 11.1 38.2 1.7 8.0 −3.7 0.5 0.2 1.7 1990– 2000 5.7 8.7 5.6 21.6 26.5 67.1 17.5 50.5 37.3 62.7 43.9 43.1 12.6 12.6 3.6 3.6 11.9 15.0 13.1 18.1 8.0 7.5 7.3 8.9 13.1 45.1 12.4 13.6 13.6 8.0 8.0 11.3 11.3 30.7 30.7 18.1 18.1 20.5 24.7 17.3 13.7 51.7 7.2 46.1 −2.6 −2.6 −2.7 (Z) 18.9 18.8 15.2 30.2 19.6 19.6 8.5 8.5 16.4 16.4 4.5 14.3 1.6 0.6 8.9 5.7 21.0 3.2 23.5 21.9 56.5 2.5 19.8 3.2 6.8 7.5 3.3 Net change Percent change Percent— Black or African American alone, 2003 3.9 1.8 3.9 6.2 0.9 0.4 7.2 1.1 5.1 0.4 2.3 1.5 5.9 5.9 8.6 8.6 9.5 12.5 14.5 9.6 5.2 3.0 7.7 3.4 2.8 1.2 2.8 2.1 2.1 2.4 2.4 1.1 1.1 0.9 0.9 1.6 1.6 6.5 9.0 4.5 34.4 13.8 40.6 12.7 1.7 1.5 1.9 0.5 5.5 4.9 6.0 2.0 7.3 7.3 1.1 1.1 5.6 5.6 38.8 21.1 45.8 40.5 1.8 2.2 1.0 (Z) 0.7 1.7 0.6 0.1 2.1 0.2 10.6 11.5 6.0



65 years and over, 2003 13.8 14.8 13.8 10.7 10.7 15.6 10.3 14.3 11.7 13.0 12.2 10.8 11.0 11.0 15.9 15.9 11.9 10.7 10.3 11.2 13.6 14.0 14.3 12.7 10.0 8.0 10.1 14.3 14.3 12.8 12.8 9.9 9.9 11.4 11.4 12.4 12.4 26.9 23.2 30.0 11.4 6.9 12.6 7.9 18.7 18.8 19.0 13.9 10.1 10.1 10.5 9.3 10.2 10.2 13.8 13.8 14.7 14.7 13.0 11.0 13.7 13.6 12.8 13.0 10.4 17.0 13.1 11.4 8.8 18.4 11.2 19.3 13.4 13.3 14.0



Asian alone, 2003 0.9 – 0.9 1.5 0.4 0.3 1.8 0.5 0.9 0.3 0.4 0.4 9.4 9.4 0.5 0.5 20.9 18.6 23.0 12.1 24.3 4.9 32.5 22.3 27.8 2.8 28.6 2.8 2.8 4.2 4.2 3.7 3.7 1.1 1.1 3.6 3.6 1.0 1.1 0.9 1.7 0.8 2.0 0.5 0.7 0.8 0.7 0.3 9.5 10.7 12.2 6.8 5.4 5.4 4.0 4.0 0.6 0.6 1.0 1.4 0.9 0.1 2.8 2.8 3.7 0.4 2.2 1.1 1.0 0.2 1.2 0.2 1.5 1.6 0.6



Hispanic or Latino origin, 20034 32.9 25.5 33.0 52.1 59.8 14.5 56.5 23.1 33.8 18.5 46.2 37.3 28.7 28.7 2.2 2.2 18.9 20.2 20.2 20.1 17.1 12.0 14.0 22.3 25.4 50.2 24.5 17.3 17.3 36.1 36.1 27.7 27.7 49.5 49.5 19.8 19.8 7.9 10.8 5.5 2.0 2.2 2.0 1.7 1.5 1.6 1.5 0.7 6.2 6.1 6.3 5.6 6.3 6.3 3.9 3.9 8.0 8.0 2.1 3.4 1.6 1.7 10.9 9.6 24.4 6.6 1.5 2.0 0.7 0.8 2.4 0.4 4.7 5.1 2.4



Shreveport-Bossier City, LA . . . Bossier Parish, LA . . . . . . . Caddo Parish, LA . . . . . . . . De Soto Parish, LA . . . . . . . Sioux City, IA-NE-SD . . . . . . . Woodbury County, IA . . . . . Dakota County, NE . . . . . . . Dixon County, NE . . . . . . . . Union County, SD. . . . . . . . Sioux Falls, SD . . . . . . . . . . . Lincoln County, SD . . . . . . . McCook County, SD . . . . . . Minnehaha County, SD . . . . Turner County, SD . . . . . . . South Bend-Mishawaka, IN-MI . St. Joseph County, IN . . . . . Cass County, MI. . . . . . . . .



See footnotes at end of table.



204



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Spartanburg, SC . . . . . . . Spartanburg County, SC Spokane, WA . . . . . . . . . Spokane County, WA . . Springfield, IL . . . . . . . . . Menard County, IL . . . . Sangamon County, IL . . Springfield, MA . . . . . . . . Franklin County, MA . . . Hampden County, MA . . Hampshire County, MA . Springfield, MO . . . . . . . . Christian County, MO . . Dallas County, MO . . . . Greene County, MO . . . Polk County, MO . . . . . Webster County, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 266,809 266,809 440,706 440,706 205,527 12,738 192,789 687,264 72,334 461,591 153,339 398,124 67,266 16,437 250,784 28,892 34,745 142,376 142,376 140,561 140,561 664,116 664,116 105,517 105,517 651,763 70,337 458,053 123,373 334,886 46,428 14,490 245,756 28,212 2,647,658 158,409 1,132,152 429,065 928,032 168,059 27,142 21,763 16,562 102,592 133,805 43,162 90,643 656,696 42,955 448,229 41,583 123,929 229,075 13,535 19,106 17,150 172,365 6,919 366,256 366,256 924,786 924,786 887,715 68,708 39,732 45,416 16,860 80,757 572,059 64,183 196,885 9,661 18,316 168,908 2004 (July 1) 264,106 264,106 435,146 435,146 205,056 12,741 192,315 687,296 72,214 461,491 153,591 390,917 64,222 16,347 247,992 28,316 34,040 142,394 142,394 139,948 139,948 649,241 649,241 105,699 105,699 653,128 70,392 458,870 123,866 331,252 46,083 14,392 243,703 27,074 2,586,417 150,540 1,100,333 408,046 927,498 168,482 27,068 21,862 16,544 103,008 132,698 42,518 90,180 657,925 42,817 450,304 41,412 123,392 227,609 13,193 18,951 17,050 171,553 6,862 364,381 364,381 906,540 906,540 880,713 68,647 39,764 45,073 16,793 79,032 568,611 62,793 195,103 9,697 18,228 167,178 20001 (estimates base) 253,782 253,782 417,939 417,939 201,440 12,486 188,954 680,014 71,535 456,226 152,253 368,374 54,285 15,661 240,391 26,992 31,045 144,741 144,741 135,758 135,758 563,598 563,598 104,636 104,636 650,154 69,441 458,336 122,377 320,304 45,087 12,902 239,452 22,863 2,396,013 130,802 998,948 344,768 921,495 170,954 26,567 21,751 16,788 105,848 129,749 40,443 89,306 659,188 42,084 455,054 40,985 121,065 224,551 12,657 18,426 16,715 169,868 6,885 350,761 350,761 843,746 843,746 859,530 67,369 39,685 44,434 16,612 70,638 563,301 57,491 193,134 9,974 18,285 164,875 19902 (April 1) 226,793 226,793 361,333 361,333 189,550 11,164 178,386 672,970 70,092 456,310 146,568 298,818 32,644 12,646 207,949 21,826 23,753 147,548 147,548 124,812 124,812 480,628 480,628 101,276 101,276 659,924 69,166 468,973 121,785 259,107 41,116 11,296 192,493 14,202 2,067,959 101,115 834,054 281,131 851,659 166,578 24,705 18,993 16,773 106,107 120,132 38,467 81,665 654,157 38,498 462,361 40,029 113,269 210,257 11,525 15,905 15,248 160,976 6,603 325,824 325,824 666,957 666,957 761,019 60,915 36,490 41,645 15,575 55,170 503,341 47,883 176,173 10,153 15,498 150,522 2000– 20053 13,027 13,027 22,767 22,767 4,087 252 3,835 7,250 799 5,365 1,086 29,750 12,981 776 10,393 1,900 3,700 −2,365 −2,365 4,803 4,803 100,518 100,518 881 881 1,609 896 −283 996 14,582 1,341 1,588 6,304 5,349 251,645 27,607 133,204 84,297 6,537 −2,895 575 12 −226 −3,256 4,056 2,719 1,337 −2,492 871 −6,825 598 2,864 4,524 878 680 435 2,497 34 15,495 15,495 81,040 81,040 28,185 1,339 47 982 248 10,119 8,758 6,692 3,751 −313 31 4,033 1990– 2000 26,989 26,989 56,606 56,606 11,890 1,322 10,568 7,044 1,443 −84 5,685 69,556 21,641 3,015 32,442 5,166 7,292 −2,807 −2,807 10,946 10,946 82,970 82,970 3,360 3,360 −9,770 275 −10,637 592 61,197 3,971 1,606 46,959 8,661 328,054 29,687 164,894 63,637 69,836 4,376 1,862 2,758 15 −259 9,617 1,976 7,641 5,031 3,586 −7,307 956 7,796 14,294 1,132 2,521 1,467 8,892 282 24,937 24,937 176,789 176,789 98,511 6,454 3,195 2,789 1,037 15,468 59,960 9,608 16,961 −179 2,787 14,353 2000– 20053 5.1 5.1 5.4 5.4 2.0 2.0 2.0 1.1 1.1 1.2 0.7 8.1 23.9 5.0 4.3 7.0 11.9 −1.6 −1.6 3.5 3.5 17.8 17.8 0.8 0.8 0.2 1.3 −0.1 0.8 4.6 3.0 12.3 2.6 23.4 10.5 21.1 13.3 24.5 0.7 −1.7 2.2 0.1 −1.3 −3.1 3.1 6.7 1.5 −0.4 2.1 −1.5 1.5 2.4 2.0 6.9 3.7 2.6 1.5 0.5 4.4 4.4 9.6 9.6 3.3 2.0 0.1 2.2 1.5 14.3 1.6 11.6 1.9 −3.1 0.2 2.4 1990– 2000 11.9 11.9 15.7 15.7 6.3 11.8 5.9 1.0 2.1 (Z) 3.9 23.3 66.3 23.8 15.6 23.7 30.7 −1.9 −1.9 8.8 8.8 17.3 17.3 3.3 3.3 −1.5 0.4 −2.3 0.5 23.6 9.7 14.2 24.4 61.0 15.9 29.4 19.8 22.6 8.2 2.6 7.5 14.5 0.1 −0.2 8.0 5.1 9.4 0.8 9.3 −1.6 2.4 6.9 6.8 9.8 15.9 9.6 5.5 4.3 7.7 7.7 26.5 26.5 12.9 10.6 8.8 6.7 6.7 28.0 11.9 20.1 9.6 −1.8 18.0 9.5 Net change Percent change Percent— Black or African American alone, 2003 21.3 21.3 1.7 1.7 9.6 0.5 10.2 7.1 1.1 9.6 2.3 1.7 0.3 0.1 2.4 0.4 1.3 8.8 8.8 2.7 2.7 7.6 7.6 48.9 48.9 7.7 1.5 10.5 0.7 33.1 58.4 38.1 30.3 12.7 11.2 4.5 16.3 2.8 10.0 4.3 0.5 4.3 0.3 5.9 24.0 25.2 23.3 12.2 0.3 17.3 0.6 1.3 7.1 0.5 0.5 0.4 9.3 0.5 20.6 20.6 3.2 3.2 9.0 2.5 10.1 10.9 0.7 0.9 11.4 4.1 35.4 80.4 59.6 30.0



65 years and over, 2003 12.6 12.6 12.3 12.3 13.3 13.6 13.3 13.6 13.9 14.1 11.9 13.2 10.7 14.9 13.7 15.5 11.8 14.8 14.8 10.4 10.4 9.9 9.9 11.9 11.9 13.1 12.6 13.6 11.4 9.4 12.1 13.9 8.4 11.5 17.9 28.4 11.6 23.9 21.2 14.1 14.9 13.5 15.8 13.7 13.3 13.2 13.4 12.7 12.6 12.8 16.5 11.1 13.9 14.6 13.2 15.6 13.7 15.5 12.3 12.3 14.2 14.2 12.1 13.5 14.7 13.7 14.2 11.7 11.7 10.8 11.5 14.3 12.4 11.3



Asian alone, 2003 1.7 1.7 1.9 1.9 1.3 0.2 1.4 1.9 1.0 1.5 3.6 0.9 0.4 0.1 1.2 0.3 0.4 0.6 0.6 4.3 4.3 13.0 13.0 1.0 1.0 2.0 0.7 2.5 0.5 1.6 0.3 0.3 2.1 0.3 2.2 0.8 2.6 1.2 2.5 1.0 0.2 0.2 0.1 1.5 0.5 0.5 0.5 1.3 0.5 1.4 0.3 1.2 0.9 0.2 0.2 0.2 1.2 0.1 6.3 6.3 2.3 2.3 1.4 0.4 0.2 0.3 0.3 0.4 1.9 0.7 0.9 0.1 0.1 1.0



Hispanic or Latino origin, 20034 3.4 3.4 3.1 3.1 1.3 0.9 1.3 12.1 2.1 16.6 3.6 1.7 1.6 1.2 1.8 1.5 1.3 1.3 1.3 1.5 1.5 33.4 33.4 1.6 1.6 2.6 1.4 3.0 1.6 3.9 6.7 3.4 3.6 2.4 12.0 6.3 20.2 7.0 5.6 0.9 0.7 0.9 0.7 1.0 3.6 1.1 4.8 4.6 6.0 4.8 3.8 3.5 6.5 2.0 1.5 1.7 8.0 2.0 10.9 10.9 31.9 31.9 5.3 2.2 2.1 2.2 1.1 2.3 7.0 2.6 1.3 0.6 0.9 1.4



Springfield, OH . . . . . . . . . . . . . . . Clark County, OH . . . . . . . . . . . . State College, PA . . . . . . . . . . . . . Centre County, PA . . . . . . . . . . . Stockton, CA . . . . . . . . . . . . . . . . San Joaquin County, CA . . . . . . . Sumter, SC. . . . . . . . . . . . . . . . . . Sumter County, SC . . . . . . . . . . . Syracuse, NY . . . . . . . . . . . . . . . . Madison County, NY . . . . . . . . . . Onondaga County, NY. . . . . . . . . Oswego County, NY . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Gadsden County, FL . . . . . . . . . . Jefferson County, FL . . . . . . . . . . Leon County, FL. . . . . . . . . . . . . Wakulla County, FL. . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Hernando County, FL . . . . . . . . . Hillsborough County, FL. . . . . . . . Pasco County, FL . . . . . . . . . . . . Pinellas County, FL. . . . . . . . . . . Terre Haute, IN . . . . . . . . . . . . . . . Clay County, IN . . . . . . . . . . . . . Sullivan County, IN . . . . . . . . . . . Vermillion County, IN. . . . . . . . . . Vigo County, IN . . . . . . . . . . . . . Texarkana, TX-Texarkana, AR . . . . . Miller County, AR . . . . . . . . . . . . Bowie County, TX. . . . . . . . . . . . Toledo, OH . . . . . . . . . . . . . . . . . . Fulton County, OH . . . . . . . . . . . Lucas County, OH . . . . . . . . . . . Ottawa County, OH. . . . . . . . . . . Wood County, OH . . . . . . . . . . . Topeka, KS. . . . . . . . . . . . . . . . . . Jackson County, KS . . . . . . . . . . Jefferson County, KS . . . . . . . . . Osage County, KS . . . . . . . . . . . Shawnee County, KS . . . . . . . . . Wabaunsee County, KS . . . . . . . . Trenton-Ewing, NJ . . . . . . . . . . . . . Mercer County, NJ . . . . . . . . . . . Tucson, AZ . . . . . . . . . . . . . . . . . . Pima County, AZ . . . . . . . . . . . . Tulsa, OK. . . . . . . . . . . . . . . . . . . Creek County, OK . . . . . . . . . . . Okmulgee County, OK. . . . . . . . . Osage County, OK . . . . . . . . . . . Pawnee County, OK . . . . . . . . . . Rogers County, OK. . . . . . . . . . . Tulsa County, OK . . . . . . . . . . . . Wagoner County, OK . . . . . . . . . Tuscaloosa, AL . . . . . . . . . . . . . . . Greene County, AL . . . . . . . . . . . Hale County, AL . . . . . . . . . . . . . Tuscaloosa County, AL . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



205



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . Smith County, TX . . . . . . . . . . . . . . . . . . Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . Herkimer County, NY . . . . . . . . . . . . . . . Oneida County, NY . . . . . . . . . . . . . . . . . Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . Brooks County, GA . . . . . . . . . . . . . . . . . Echols County, GA . . . . . . . . . . . . . . . . . Lanier County, GA . . . . . . . . . . . . . . . . . Lowndes County, GA . . . . . . . . . . . . . . . Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . Solano County, CA . . . . . . . . . . . . . . . . . Vero Beach, FL . . . . . . . . . . . . . . . . . . . . . Indian River County, FL . . . . . . . . . . . . . . Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . Calhoun County, TX . . . . . . . . . . . . . . . . Goliad County, TX . . . . . . . . . . . . . . . . . Victoria County, TX . . . . . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . Cumberland County, NJ. . . . . . . . . . . . . . Virginia Beach-Norfolk-Newport News, VA-NC. Currituck County, NC . . . . . . . . . . . . . . . Gloucester County, VA . . . . . . . . . . . . . . Isle of Wight County, VA . . . . . . . . . . . . . James City County, VA . . . . . . . . . . . . . . Mathews County, VA . . . . . . . . . . . . . . . . Surry County, VA . . . . . . . . . . . . . . . . . . York County, VA . . . . . . . . . . . . . . . . . . . Chesapeake city, VA . . . . . . . . . . . . . . . . Hampton city, VA . . . . . . . . . . . . . . . . . . Newport News city, VA . . . . . . . . . . . . . . Norfolk city, VA . . . . . . . . . . . . . . . . . . . Poquoson city, VA . . . . . . . . . . . . . . . . . Portsmouth city, VA. . . . . . . . . . . . . . . . . Suffolk city, VA . . . . . . . . . . . . . . . . . . . . Virginia Beach city, VA. . . . . . . . . . . . . . . Williamsburg city, VA. . . . . . . . . . . . . . . . Visalia-Porterville, CA . . . . . . . . . . . . . . . . . Tulare County, CA . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . McLennan County, TX . . . . . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . . . . . . . . Houston County, GA . . . . . . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . . . . . . . . . . . . . . . . Bethesda-Gaithersburg-Frederick, MD . . . . Frederick County, MD . . . . . . . . . . . . . Montgomery County, MD . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . . . . . . . . . . . . . . District of Columbia, DC . . . . . . . . . . . . Calvert County, MD . . . . . . . . . . . . . . . Charles County, MD . . . . . . . . . . . . . . Prince George’s County, MD . . . . . . . . . Arlington County, VA . . . . . . . . . . . . . . Clarke County, VA . . . . . . . . . . . . . . . . Fairfax County, VA . . . . . Fauquier County, VA . . . . Loudoun County, VA . . . . Prince William County, VA Spotsylvania County, VA. . Stafford County, VA . . . . . Warren County, VA . . . . . Alexandria city, VA . . . . . Fairfax city, VA . . . . . . . . Falls Church city, VA . . . . Fredericksburg city, VA. . . Manassas city, VA . . . . . . Manassas Park city, VA . . Jefferson County, WV . . . Waterloo-Cedar Falls, IA . . . . . Black Hawk County, IA . . . . Bremer County, IA . . . . . . . Grundy County, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190,594 190,594 297,885 63,780 234,105 124,838 16,327 4,253 7,553 96,705 411,593 411,593 128,594 128,594 113,356 20,606 7,102 85,648 153,252 153,252 1,647,346 23,112 37,787 33,417 57,525 9,194 7,013 61,758 218,968 145,579 179,899 231,954 11,811 100,169 78,994 438,415 11,751 410,874 410,874 224,668 224,668 126,163 126,163 5,214,666 1,148,284 220,701 927,583 4,066,382 550,521 87,925 138,822 846,123 195,965 14,205 1,006,529 64,997 255,518 348,588 116,549 117,874 35,556 135,337 21,963 10,781 20,732 37,569 11,622 49,206 161,897 125,891 23,677 12,329 128,941 128,941 2004 (July 1) 186,822 186,822 298,438 63,824 234,614 123,725 16,327 4,111 7,422 95,865 411,896 411,896 124,676 124,676 113,251 20,537 7,079 85,635 151,020 151,020 1,641,671 22,055 37,118 32,635 55,500 9,158 6,990 60,804 214,830 145,001 181,917 237,347 11,673 99,404 76,529 439,224 11,486 400,952 400,952 222,765 222,765 123,773 123,773 5,157,608 1,139,087 217,456 921,631 4,018,521 554,239 86,293 135,702 841,642 197,955 13,840 1,002,488 63,049 239,325 336,525 111,805 114,513 34,494 136,635 21,989 10,574 20,776 37,626 11,469 47,582 161,596 125,707 23,525 12,364 127,823 127,823 20001 (estimates base) 174,706 174,706 299,896 64,437 235,459 119,566 16,450 3,750 7,241 92,125 394,513 394,513 112,947 112,947 111,663 20,647 6,928 84,088 146,438 146,438 1,576,917 18,190 34,780 29,728 48,102 9,207 6,829 56,297 199,184 146,437 180,697 234,403 11,566 100,565 63,677 425,257 11,998 368,021 368,021 213,513 213,513 110,765 110,765 4,796,182 1,069,441 195,276 874,165 3,726,741 572,059 74,563 120,546 800,691 189,453 12,652 969,749 55,145 169,599 280,813 90,395 92,446 31,578 128,283 21,498 10,377 19,279 35,135 10,290 42,190 163,707 128,013 23,325 12,369 125,834 125,834 19902 (April 1) 151,309 151,309 316,645 65,809 250,836 99,244 15,398 2,334 5,531 75,981 339,471 339,471 90,208 90,208 99,394 19,053 5,980 74,361 138,053 138,053 1,450,855 13,736 30,131 25,053 34,970 8,348 6,145 42,434 151,982 133,811 171,439 261,250 11,005 103,910 52,143 393,089 11,409 311,921 311,921 189,123 189,123 89,208 89,208 4,122,259 907,235 150,208 757,027 3,215,024 606,900 51,372 101,154 728,553 170,897 12,101 818,358 48,860 86,129 215,677 57,403 61,236 26,142 111,182 19,894 9,522 19,027 27,957 6,734 35,926 158,640 123,798 22,813 12,029 115,400 115,400 2000– 20053 15,888 15,888 −2,011 −657 −1,354 5,272 −123 503 312 4,580 17,080 17,080 15,647 15,647 1,693 −41 174 1,560 6,814 6,814 70,429 4,922 3,007 3,689 9,423 −13 184 5,461 19,784 −858 −798 −2,449 245 −396 15,317 13,158 −247 42,853 42,853 11,155 11,155 15,398 15,398 418,484 78,843 25,425 53,418 339,641 −21,538 13,362 18,276 45,432 6,512 1,553 36,780 9,852 85,919 67,775 26,154 25,428 3,978 7,054 465 404 1,453 2,434 1,332 7,016 −1,810 −2,122 352 −40 3,107 3,107 1990– 2000 23,397 23,397 −16,749 −1,372 −15,377 20,322 1,052 1,416 1,710 16,144 55,042 55,042 22,739 22,739 12,269 1,594 948 9,727 8,385 8,385 126,062 4,454 4,649 4,675 13,132 859 684 13,863 47,202 12,626 9,258 −26,847 561 −3,345 11,534 32,168 589 56,100 56,100 24,390 24,390 21,557 21,557 673,923 162,206 45,068 117,138 511,717 −34,841 23,191 19,392 72,138 18,556 551 151,391 6,285 83,470 65,136 32,992 31,210 5,436 17,101 1,604 855 252 7,178 3,556 6,264 5,067 4,215 512 340 10,434 10,434 2000– 20053 9.1 9.1 −0.7 −1.0 −0.6 4.4 −0.7 13.4 4.3 5.0 4.3 4.3 13.9 13.9 1.5 −0.2 2.5 1.9 4.7 4.7 4.5 27.1 8.6 12.4 19.6 −0.1 2.7 9.7 9.9 −0.6 −0.4 −1.0 2.1 −0.4 24.1 3.1 −2.1 11.6 11.6 5.2 5.2 13.9 13.9 8.7 7.4 13.0 6.1 9.1 −3.8 17.9 15.2 5.7 3.4 12.3 3.8 17.9 50.7 24.1 28.9 27.5 12.6 5.5 2.2 3.9 7.5 6.9 12.9 16.6 −1.1 −1.7 1.5 −0.3 2.5 2.5 1990– 2000 15.5 15.5 −5.3 −2.1 −6.1 20.5 6.8 60.7 30.9 21.2 16.2 16.2 25.2 25.2 12.3 8.4 15.9 13.1 6.1 6.1 8.7 32.4 15.4 18.7 37.6 10.3 11.1 32.7 31.1 9.4 5.4 −10.3 5.1 −3.2 22.1 8.2 5.2 18.0 18.0 12.9 12.9 24.2 24.2 16.3 17.9 30.0 15.5 15.9 −5.7 45.1 19.2 9.9 10.9 4.6 18.5 12.9 96.9 30.2 57.5 51.0 20.8 15.4 8.1 9.0 1.3 25.7 52.8 17.4 3.2 3.4 2.2 2.8 9.0 9.0 Net change Percent change Percent— Black or African American alone, 2003 18.7 18.7 5.1 0.7 6.3 32.5 38.7 8.2 26.3 33.0 15.4 15.4 8.6 8.6 5.6 2.6 5.7 6.3 21.6 21.6 32.0 6.5 9.9 25.4 13.4 10.7 51.3 13.2 29.6 47.6 41.9 45.3 1.0 52.7 42.8 19.9 12.5 1.9 1.9 15.1 15.1 25.0 25.0 26.4 13.3 6.4 14.9 30.1 58.8 12.0 29.9 64.8 9.0 6.6 8.7 8.5 7.2 19.6 13.6 15.1 4.9 21.7 5.8 4.5 21.2 13.5 11.4 6.2 6.5 8.2 0.4 0.1 0.3 0.3



65 years and over, 2003 14.0 14.0 16.1 16.4 16.0 10.0 14.5 7.7 10.8 9.2 10.0 10.0 27.8 27.8 12.8 14.1 16.5 12.2 12.7 12.7 10.5 11.6 12.3 12.4 17.6 22.2 13.6 9.8 9.3 10.8 10.2 10.0 12.9 13.4 10.5 9.1 13.8 9.4 9.4 12.5 12.5 9.7 9.7 9.1 11.1 9.7 11.4 8.6 12.0 8.9 7.8 8.1 9.3 14.2 8.5 10.6 5.3 5.2 7.9 5.6 12.1 9.9 13.6 13.1 13.8 6.3 5.1 10.8 14.7 14.1 16.0 18.7 13.2 13.2



Asian alone, 2003 0.8 0.8 1.3 0.6 1.5 1.0 0.2 0.1 0.4 1.2 13.5 13.5 0.9 0.9 1.3 3.5 0.2 0.9 1.1 1.1 2.9 0.5 0.7 0.4 1.5 0.2 0.2 3.7 1.8 1.8 2.5 2.8 1.9 0.7 1.0 5.3 4.6 3.4 3.4 1.2 1.2 1.8 1.8 7.7 10.8 2.1 12.8 6.9 3.1 1.0 1.9 3.9 8.5 0.5 14.9 0.8 8.5 5.1 1.5 1.8 0.5 5.3 13.3 7.0 1.4 3.8 4.7 0.7 1.1 1.2 0.7 0.3 5.1 5.1



Hispanic or Latino origin, 20034 13.0 13.0 3.3 1.1 3.8 3.0 3.5 24.0 2.0 2.2 19.9 19.9 7.6 7.6 40.9 43.9 35.3 40.7 21.0 21.0 3.1 1.3 1.6 1.1 2.0 0.9 0.9 3.0 2.2 2.8 4.1 3.8 1.2 1.6 1.5 4.3 2.5 53.8 53.8 19.8 19.8 2.9 2.9 10.1 10.6 2.9 12.3 10.0 9.4 1.7 2.2 8.5 18.1 1.7 12.3 2.7 7.6 14.5 3.9 4.9 1.8 14.5 13.2 8.1 5.8 20.4 24.1 2.0 1.7 2.0 0.6 0.6 0.9 0.9



Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . Marathon County, WI . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



206



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-1. Metropolitan Areas With Component Counties — Population and Population Characteristics—Con.

Population Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county 2005 (July 1) Weirton-Steubenville, WV-OH. Jefferson County, OH . . . . Brooke County, WV . . . . . Hancock County, WV . . . . Wenatchee, WA . . . . . . . . . Chelan County, WA. . . . . . Douglas County, WA . . . . . Wheeling, WV-OH . . . . . . . . Belmont County, OH . . . . . Marshall County, WV. . . . . Ohio County, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126,464 70,599 24,515 31,350 104,768 69,791 34,977 148,677 69,228 34,337 45,112 587,055 62,354 33,843 466,061 24,797 146,276 9,095 11,287 125,894 118,395 118,395 315,144 89,162 179,553 46,429 116,267 69,123 25,119 22,025 448,629 39,136 325,967 45,858 37,668 783,262 783,262 231,586 231,586 408,801 408,801 593,168 254,274 219,296 119,598 156,029 88,876 67,153 181,277 181,277 2004 (July 1) 127,495 71,358 24,724 31,413 103,323 68,897 34,426 149,437 69,460 34,617 45,360 583,860 61,694 33,697 463,383 25,086 147,751 9,239 11,205 127,307 118,505 118,505 303,258 84,590 173,627 45,041 113,107 66,696 24,862 21,549 441,472 37,940 320,780 45,449 37,303 778,608 778,608 229,515 229,515 401,063 401,063 596,262 255,995 220,552 119,715 151,146 86,676 64,470 175,629 175,629 20001 (estimates base) 132,008 73,894 25,447 32,667 99,219 66,616 32,603 153,178 70,226 35,519 47,433 571,168 59,484 32,869 452,869 25,946 151,524 8,854 11,006 131,664 120,044 120,044 274,550 73,141 160,327 41,082 102,997 59,209 23,585 20,203 421,957 34,835 306,063 44,711 36,348 749,973 749,973 222,581 222,581 381,751 381,751 602,964 257,555 225,116 120,293 139,149 78,930 60,219 160,026 160,026 19902 (April 1) 142,523 80,298 26,992 35,233 78,455 52,250 26,205 159,301 71,074 37,356 50,871 511,111 50,580 31,028 403,662 25,841 140,375 7,973 10,024 122,378 118,710 118,710 200,124 50,985 120,284 28,855 84,168 45,723 21,947 16,498 361,448 27,859 265,878 37,223 30,488 709,705 709,705 188,823 188,823 339,574 339,574 613,622 264,806 227,813 121,003 122,643 64,415 58,228 106,895 106,895 2000– 20053 −5,544 −3,295 −932 −1,317 5,549 3,175 2,374 −4,501 −998 −1,182 −2,321 15,887 2,870 974 13,192 −1,149 −5,248 241 281 −5,770 −1,649 −1,649 40,594 16,021 19,226 5,347 13,270 9,914 1,534 1,822 26,672 4,301 19,904 1,147 1,320 33,289 33,289 9,005 9,005 27,050 27,050 −9,796 −3,281 −5,820 −695 16,880 9,946 6,934 21,251 21,251 1990– 2000 −10,515 −6,404 −1,545 −2,566 20,764 14,366 6,398 −6,123 −848 −1,837 −3,438 60,057 8,904 1,841 49,207 105 11,149 881 982 9,286 1,334 1,334 74,426 22,156 40,043 12,227 18,829 13,486 1,638 3,705 60,509 6,976 40,185 7,488 5,860 40,268 40,268 33,758 33,758 42,177 42,177 −10,658 −7,251 −2,697 −710 16,506 14,515 1,991 53,131 53,131 2000– 20053 −4.2 −4.5 −3.7 −4.0 5.6 4.8 7.3 −2.9 −1.4 −3.3 −4.9 2.8 4.8 3.0 2.9 −4.4 −3.5 2.7 2.6 −4.4 −1.4 −1.4 14.8 21.9 12.0 13.0 12.9 16.7 6.5 9.0 6.3 12.3 6.5 2.6 3.6 4.4 4.4 4.0 4.0 7.1 7.1 −1.6 −1.3 −2.6 −0.6 12.1 12.6 11.5 13.3 13.3 1990– 2000 −7.4 −8.0 −5.7 −7.3 26.5 27.5 24.4 −3.8 −1.2 −4.9 −6.8 11.8 17.6 5.9 12.2 0.4 7.9 11.0 9.8 7.6 1.1 1.1 37.2 43.5 33.3 42.4 22.4 29.5 7.5 22.5 16.7 25.0 15.1 20.1 19.2 5.7 5.7 17.9 17.9 12.4 12.4 −1.7 −2.7 −1.2 −0.6 13.5 22.5 3.4 49.7 49.7 Net change Percent change Percent— Black or African American alone, 2003 4.0 5.7 1.0 2.5 0.4 0.3 0.4 3.1 3.9 0.5 3.8 7.8 1.5 1.7 9.4 1.0 8.7 0.1 0.4 10.1 4.2 4.2 16.4 13.4 16.4 22.3 4.3 3.0 10.8 0.9 20.3 6.8 26.1 4.6 3.3 3.6 3.6 1.2 1.2 4.0 4.0 10.8 15.9 8.0 5.2 2.6 2.1 3.3 2.2 2.2



65 years and over, 2003 18.6 18.6 18.3 18.9 13.8 14.1 13.1 17.9 18.0 16.4 18.8 11.9 12.6 16.6 11.3 16.0 13.0 13.2 14.6 12.9 16.2 16.2 14.5 17.6 13.1 14.2 12.6 10.8 15.5 14.5 12.9 13.8 12.6 12.9 14.7 12.5 12.5 11.1 11.1 13.6 13.6 17.0 17.4 16.0 17.8 11.3 12.3 10.1 17.0 17.0



Asian alone, 2003 0.4 0.4 0.5 0.4 0.7 0.7 0.6 0.5 0.3 0.3 0.9 3.1 0.5 0.7 3.8 0.3 1.7 0.2 (Z) 1.9 0.5 0.5 0.6 0.3 0.9 0.2 0.8 0.7 1.6 0.2 1.0 0.4 1.2 0.3 0.2 3.3 3.3 1.0 1.0 1.0 1.0 0.5 0.6 0.5 0.5 10.0 12.3 7.0 1.1 1.1



Hispanic or Latino origin, 20034 0.6 0.7 0.4 0.8 20.4 20.1 21.0 0.5 0.4 0.7 0.4 8.1 2.5 8.3 9.1 3.6 12.1 5.4 4.1 13.2 0.6 0.6 2.8 3.1 2.2 4.4 3.5 2.7 8.1 0.6 7.3 4.6 8.3 1.8 7.8 7.3 7.3 38.3 38.3 3.2 3.2 1.7 3.0 0.8 0.7 22.3 24.1 20.0 54.4 54.4



Wichita, KS. . . . . . . . . . . . . . Butler County, KS . . . . . . . . Harvey County, KS . . . . . . . Sedgwick County, KS . . . . . Sumner County, KS . . . . . . Wichita Falls, TX . . . . . . . . . . Archer County, TX . . . . . . . Clay County, TX . . . . . . . . . Wichita County, TX . . . . . . . Williamsport, PA . . . . . . . . . . Lycoming County, PA . . . . . Wilmington, NC . . . . . . . . . . . Brunswick County, NC. . . . . New Hanover County, NC . . Pender County, NC. . . . . . . Winchester, VA-WV . . . . . . . . Frederick County, VA . . . . . Winchester city, VA . . . . . . . Hampshire County, WV . . . . Winston-Salem, NC . . . . . . . . Davie County, NC. . . . . . . . Forsyth County, NC . . . . . . Stokes County, NC . . . . . . . Yadkin County, NC . . . . . . . Worcester, MA . . . . . . . . . . . Worcester County, MA. . . . . Yakima, WA . . . . . . . . . . . . . Yakima County, WA . . . . . . York-Hanover, PA . . . . . . . . . York County, PA . . . . . . . . . Youngstown-Warren-Boardman, Mahoning County, OH . . . . . Trumbull County, OH. . . . . . Mercer County, PA . . . . . . . Yuba City, CA . . . . . . . . . . . . Sutter County, CA. . . . . . . . Yuba County, CA . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . . Yuma County, AZ . . . . . . . . – Represents zero.

1



...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... OH-PA . ...... ...... ...... ...... ...... ...... ...... ......



Z Less than .05%.



The 2000 Population Estimates base reflects modifications to the Census 2000 population as documented in the Count Question Resolution program and geographic program revisions. 2 The April 1, 1990, census counts include corrections processed through August 1997 and results of special censuses and test censuses, and do not include adjustments for census coverage errors. 3 Period refers to April 1, 2000, to July 1, 2005. 4 Persons of Hispanic or Latino origin may be any race. 5 The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield city is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 6 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA. Note: Covers metropolitan statistical areas and metropolitan divisions and component counties defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . Survey, Census, or Data Collection Method: Based on the 2000 Census of Population and Housing and, for population estimates, the ‘‘component of population change method’’ and ‘‘County Characteristic Population Estimates Data’’; see Appendix B, Limitations of the Data and Methodology, and also and . Source: U.S. Census Bureau, 2000 to 2005 compiled from ‘‘Population Estimates by County’’ and ‘‘Population Estimates, Cumulative Estimates of the Components of Population Change for Counties: April 1, 2000 to July 1, 2005’’ ; 1990, ‘‘Population Estimates: Annual Time Series,’’ archive 1990 (revised data for April 1, 1990, Population Estimates base) ; Age, race, and Hispanic population—U.S. Census Bureau, ‘‘County Characteristic Population Estimates Data,’’ .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



207



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing



Units

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.6 12.3 8.2 22.5 24.3 21.0 25.1 15.7 10.7 17.8 17.0 10.7 8.6 29.1 33.3 23.7 30.9 26.3 17.3 28.1 30.5 24.8 14.4 14.8 15.7 9.8 16.5 21.7 24.4 11.0 23.3 21.2 13.9 13.9 20.8 20.5 15.5 13.5 28.9 44.5 44.5 27.0 28.9 18.3 14.4 14.4 15.9 15.9 48.1 48.1 15.2 15.2 22.2 20.8 22.5 23.1 25.3 16.0 24.1 16.1 32.4 39.8 10.9 39.8 15.6 31.6 10.9 14.1 8.6 16.5 27.0 16.6 39.8 20.6 18.1 36.3 19.2 Percent of workers who drove alone to work 73.8 73.3 74.9 73.7 79.7 78.4 80.0 71.4 69.3 68.9 81.3 64.2 73.2 73.6 70.2 72.7 78.5 75.0 70.5 71.7 71.7 73.7 64.3 71.1 71.8 71.8 71.8 76.8 76.9 75.5 76.7 77.1 75.6 75.6 76.1 76.1 79.6 71.8 79.7 67.0 67.0 66.8 68.1 60.2 75.4 75.4 78.0 78.0 71.7 71.7 78.2 78.2 80.6 79.7 80.9 74.8 74.4 76.3 75.5 73.3 70.0 65.6 76.2 78.3 78.7 71.8 73.6 75.6 75.4 73.6 77.5 70.2 76.5 76.7 75.4 65.3 77.1 Percent of persons below poverty level in 1999 13.6 12.1 12.8 13.9 9.6 8.8 9.8 20.9 23.3 23.9 7.9 28.0 18.4 9.0 10.1 9.2 5.6 10.6 10.7 13.7 13.5 12.1 18.4 16.3 20.0 21.1 19.9 8.0 5.4 9.4 9.0 7.6 12.3 12.3 13.0 10.2 7.2 18.0 7.9 12.4 12.4 7.9 7.2 10.8 9.0 9.0 11.8 11.8 10.4 10.4 15.8 15.8 4.4 3.5 4.6 11.0 11.1 11.3 9.6 14.7 19.7 26.0 11.5 6.4 13.1 9.3 8.2 8.5 10.3 13.2 5.3 9.9 6.4 7.7 7.6 10.6 7.7 Housing units



Change 2000–20043 2004 (July 1) 66,821 6,086 7,411 53,324 302,154 63,436 238,718 67,118 1,782 40,944 10,446 4,617 9,329 372,924 132,113 67,546 91,453 65,607 16,205 331,838 259,500 38,631 7,548 26,159 62,782 8,793 53,989 322,020 44,088 31,491 133,848 112,593 55,753 55,753 95,263 937 2,879 46,674 44,773 33,660 33,660 135,158 107,248 27,910 58,427 58,427 78,354 78,354 141,941 141,941 52,841 52,841 86,252 17,926 68,326 189,236 101,518 30,527 46,861 10,330 74,978 47,029 11,200 11,010 5,739 1,888,550 21,841 34,075 8,544 41,407 67,442 99,087 261,659 40,373 8,712 288,457 42,821 20002 (estimates base) 65,216 5,925 7,236 52,055 290,976 60,096 230,880 63,755 1,740 39,656 8,813 4,460 9,086 363,740 129,972 66,120 86,701 65,032 15,915 305,840 239,074 34,866 7,257 24,643 60,569 8,531 52,038 307,269 41,156 30,492 128,910 106,711 55,061 55,061 91,594 920 2,815 44,598 43,261 30,630 30,630 127,697 100,368 27,329 56,939 56,939 73,213 73,213 130,974 130,974 51,322 51,322 78,372 15,758 62,614 175,331 93,966 28,640 43,003 9,722 67,542 42,126 10,520 9,528 5,368 1,622,087 17,304 28,751 7,393 34,067 51,937 86,461 237,522 33,182 7,163 261,231 34,858



Percent foreign born 3.5 1.4 1.6 4.0 3.0 2.0 3.3 1.6 1.9 1.7 1.7 1.7 1.0 4.8 6.5 3.7 3.1 5.3 2.4 7.8 8.6 4.3 4.2 6.4 1.4 0.5 1.6 5.2 5.8 1.8 6.2 4.6 1.0 1.0 6.0 0.9 2.7 9.4 2.6 6.9 6.9 7.1 8.2 2.6 1.2 1.2 1.5 1.5 10.3 10.3 1.7 1.7 2.9 2.1 3.1 3.9 3.9 1.6 5.9 1.7 6.2 8.4 2.0 4.4 0.8 10.1 3.6 2.5 0.9 2.9 5.8 10.9 11.6 3.7 1.4 15.2 3.9



Total workers 77,848 5,919 7,331 64,598 360,811 83,571 277,240 72,016 1,742 43,126 12,480 4,573 10,095 430,282 155,220 80,147 108,283 71,491 15,141 360,542 282,693 41,599 7,229 29,021 62,382 7,685 54,697 372,922 53,293 28,020 157,506 134,103 61,655 61,655 111,613 1,009 3,124 50,317 57,163 46,694 46,694 171,573 143,350 28,223 63,897 63,897 81,305 81,305 179,279 179,279 51,402 51,402 111,228 22,747 88,481 182,007 106,066 25,258 41,450 9,233 87,853 55,218 12,849 13,596 6,190 2,241,668 23,898 38,215 8,457 42,630 77,534 122,396 343,473 46,015 8,454 368,086 48,921



Total persons 21,846 1,563 2,653 17,630 66,386 13,395 52,991 33,002 951 22,974 1,958 3,069 4,050 73,946 29,745 14,011 11,238 15,560 3,392 99,746 74,987 10,847 3,106 10,806 29,045 3,948 25,097 59,500 5,492 5,509 28,095 20,404 15,840 15,840 29,426 219 468 20,478 8,261 9,921 9,921 25,101 18,682 6,419 11,941 11,941 19,639 19,639 33,450 33,450 17,695 17,695 8,826 1,409 7,417 40,438 22,920 6,112 8,526 2,880 32,650 26,337 2,964 1,688 1,661 391,208 3,787 6,445 2,017 11,495 7,474 23,493 38,910 6,888 1,210 70,484 7,080



Number 1,605 161 175 1,269 11,178 3,340 7,838 3,363 42 1,288 1,633 157 243 9,184 2,141 1,426 4,752 575 290 25,998 20,426 3,765 291 1,516 2,213 262 1,951 14,751 2,932 999 4,938 5,882 692 692 3,669 17 64 2,076 1,512 3,030 3,030 7,461 6,880 581 1,488 1,488 5,141 5,141 10,967 10,967 1,519 1,519 7,880 2,168 5,712 13,905 7,552 1,887 3,858 608 7,436 4,903 680 1,482 371 266,463 4,537 5,324 1,151 7,340 15,505 12,626 24,137 7,191 1,549 27,226 7,963



Percent 2.5 2.7 2.4 2.4 3.8 5.6 3.4 5.3 2.4 3.2 18.5 3.5 2.7 2.5 1.6 2.2 5.5 0.9 1.8 8.5 8.5 10.8 4.0 6.2 3.7 3.1 3.7 4.8 7.1 3.3 3.8 5.5 1.3 1.3 4.0 1.8 2.3 4.7 3.5 9.9 9.9 5.8 6.9 2.1 2.6 2.6 7.0 7.0 8.4 8.4 3.0 3.0 10.1 13.8 9.1 7.9 8.0 6.6 9.0 6.3 11.0 11.6 6.5 15.6 6.9 16.4 26.2 18.5 15.6 21.5 29.9 14.6 10.2 21.7 21.6 10.4 22.8



Abilene, TX. . . . . . . . Callahan County, TX Jones County, TX . . Taylor County, TX . .



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Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . Portage County, OH . . . . . . . . . . . . . . . . . . . . Summit County, OH . . . . . . . . . . . . . . . . . . . . Albany, GA . . . . . . . . . . . . . . . . . . Baker County, GA . . . . . . . . . . . . Dougherty County, GA . . . . . . . . . Lee County, GA . . . . . . . . . . . . . Terrell County, GA. . . . . . . . . . . . Worth County, GA. . . . . . . . . . . . Albany-Schenectady-Troy, NY . . . . . Albany County, NY . . . . . . . . . . . Rensselaer County, NY . . . . . . . . Saratoga County, NY. . . . . . . . . . Schenectady County, NY . . . . . . . Schoharie County, NY . . . . . . . . . Albuquerque, NM. . . . . . . . . . . . . . Bernalillo County, NM . . . . . . . . . Sandoval County, NM . . . . . . . . . Torrance County, NM. . . . . . . . . . Valencia County, NM . . . . . . . . . . Alexandria, LA. . . . . . . . . . . . . . . . Grant Parish, LA. . . . . . . . . . . . . Rapides Parish, LA . . . . . . . . . . . Allentown-Bethlehem-Easton, PA-NJ . Warren County, NJ . . . . . . . . . . . Carbon County, PA . . . . . . . . . . . Lehigh County, PA . . . . . . . . . . . Northampton County, PA . . . . . . . Altoona, PA . . . . . . . . . . . . . . . . . Blair County, PA . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . . Armstrong County, TX . . . . . . . . . Carson County, TX . . . . . . . . . . . Potter County, TX . . . . . . . . . . . . Randall County, TX . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . . Story County, IA . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . . Anchorage Borough, AK. . . . . . . . Matanuska-Susitna Borough, AK . . Anderson, IN . . . . . . . . . . . . . . . . Madison County, IN. . . . . . . . . . . Anderson, SC . . . . . . . . . . . . . . . . Anderson County, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . . . . . . . . Washtenaw County, MI . . . . . . . . Anniston-Oxford, AL . . . . . . . . . . . . Calhoun County, AL . . . . . . . . . . Appleton, WI . . . . . . . . . . . . . . . . . Calumet County, WI . . . . . . . . . . Outagamie County, WI. . . . . . . . . Asheville, NC . . . . . . . . . . . . . . . . Buncombe County, NC . . . . . . . . Haywood County, NC . . . . . . . . . Henderson County, NC . . . . . . . . Madison County, NC . . . . . . . . . . Athens-Clarke County, GA. . . . . . . . Clarke County, GA . . . . . . . . . . . Madison County, GA . . . . . . . . . . Oconee County, GA . . . . . . . . . . Oglethorpe County, GA . . . . . . . . Atlanta-Sandy Springs-Marietta, GA . Barrow County, GA . . . . . . . . . . . Bartow County, GA . . . . . . . . . . . Butts County, GA . . . . . . . . . . . . Carroll County, GA . . . . . . . . . . . Cherokee County, GA . . . . . . . . . Clayton County, GA. . . . . . . . . . . Cobb County, GA . . . . . . . . . . . . Coweta County, GA. . . . . . . . . . . Dawson County, GA . . . . . . . . . . DeKalb County, GA . . . . . . . . . . . Douglas County, GA . . . . . . . . . . See footnotes at end of table. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



208



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 Percent of workers who drove alone to work Percent of persons below poverty level in 1999 Housing units



Change 2000–20043 2004 (July 1) 20002 (estimates base)



Percent foreign born



Total workers



Total persons



Number



Percent



Atlanta-Sandy Springs-Marietta, Fayette County, GA. . . . . . . Forsyth County, GA. . . . . . . Fulton County, GA . . . . . . . Gwinnett County, GA . . . . . . Haralson County, GA. . . . . . Heard County, GA. . . . . . . . Henry County, GA. . . . . . . . Jasper County, GA . . . . . . . Lamar County, GA . . . . . . . Meriwether County, GA . . . . Newton County, GA. . . . . . . Paulding County, GA . . . . . . Pickens County, GA . . . . . . Pike County, GA . . . . . . . . . Rockdale County, GA . . . . . Spalding County, GA . . . . . . Walton County, GA . . . . . . . Atlantic City, NJ . . . . . . . . . . . Atlantic County, NJ . . . . . . .



GA—Con. ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



36.2 34.6 41.4 34.1 9.0 7.3 19.5 11.5 11.3 10.8 14.5 15.2 15.6 14.0 23.4 12.5 13.0 18.7 18.7 27.9 27.9 20.4 9.5 32.0 11.7 18.7 19.9 12.5 36.7 17.0 13.3 31.3 40.6 33.6 13.5 13.5 29.2 30.6 30.6 24.8 27.3 52.9 25.4 19.1 20.3 20.3 33.6 33.6 22.8 14.5 30.8 11.3 9.6 11.4 12.8 11.2 11.1 10.6 16.0 16.0 14.2 14.2 14.7 13.0 16.3 11.0 27.2 27.2 25.0 25.0 26.2 23.3 26.4 22.0 22.7 19.7



5.0 6.0 9.6 16.9 0.9 0.7 3.4 2.1 1.0 0.7 2.5 2.1 2.0 1.0 7.6 2.2 2.0 11.8 11.8 2.7 2.7 3.0 0.8 4.8 0.6 3.4 2.3 1.3 12.2 8.1 5.1 5.6 15.1 7.4 16.9 16.9 5.7 4.7 7.1 2.0 3.4 11.3 2.4 4.6 2.5 2.5 4.9 4.9 2.6 1.8 3.7 0.6 0.7 0.8 0.9 0.3 0.9 0.5 2.4 2.4 1.4 1.4 4.7 1.3 6.2 2.1 9.8 9.8 2.8 2.8 1.4 1.6 1.4 4.5 5.3 1.7



47,090 52,904 431,553 325,379 11,751 4,902 63,081 5,517 7,667 9,845 30,745 42,755 11,542 6,544 35,166 27,148 30,409 125,696 125,696 56,547 56,547 237,567 9,108 45,831 9,712 94,690 67,969 10,257 689,602 27,642 14,206 53,942 460,525 133,287 267,603 267,603 1,313,310 269,772 396,897 80,767 116,981 139,885 21,849 287,159 74,297 74,297 107,184 107,184 335,375 37,203 205,905 8,557 12,364 42,978 9,626 4,135 9,976 4,631 66,943 66,943 54,312 54,312 169,288 21,877 108,633 38,778 87,365 87,365 58,836 58,836 73,490 4,792 68,698 122,581 96,563 26,018



81.2 79.0 63.8 75.9 71.2 66.6 79.4 69.2 71.9 69.1 75.6 79.8 75.8 75.0 74.7 69.9 75.5 65.5 65.5 77.6 77.6 73.5 70.3 81.8 72.1 68.5 75.4 74.1 72.0 70.5 69.7 70.3 70.5 78.7 63.4 63.4 70.4 76.1 75.0 79.8 79.6 79.0 75.6 47.5 73.2 73.2 75.3 75.3 75.3 79.1 74.6 70.4 73.1 77.8 72.4 69.2 76.0 77.2 75.7 75.7 80.5 80.5 74.9 78.5 73.8 75.7 68.8 68.8 69.9 69.9 75.6 61.6 76.6 74.0 73.8 75.0



2,386 5,382 124,241 33,067 3,914 1,480 5,821 1,604 1,682 3,931 6,079 4,454 2,080 1,275 5,673 8,856 5,829 25,906 25,906 24,119 24,119 74,945 6,348 4,540 3,882 37,313 19,455 3,407 134,589 6,456 3,971 13,039 99,388 11,735 130,949 130,949 243,792 24,335 47,603 5,617 10,695 9,491 2,537 143,514 18,956 18,956 15,021 15,021 116,199 9,808 71,276 4,352 6,909 10,339 5,172 2,804 3,564 1,975 15,094 15,094 10,605 10,605 57,974 5,314 41,142 11,518 23,003 23,003 10,613 10,613 15,121 1,089 14,032 28,854 24,559 4,295



2.6 5.5 15.2 5.6 15.2 13.4 4.9 14.0 10.6 17.4 9.8 5.5 9.1 9.3 8.1 15.2 9.6 10.3 10.3 21.0 21.0 15.0 28.5 5.1 18.3 18.7 13.6 13.9 10.8 11.2 12.3 13.4 12.2 4.7 19.8 19.8 9.5 5.0 6.3 3.7 4.9 3.8 6.3 22.0 13.1 13.1 6.8 6.8 16.5 12.8 17.3 20.4 20.7 11.3 22.7 26.6 16.5 13.1 10.9 10.9 9.6 9.6 15.1 11.1 16.3 13.6 13.8 13.8 9.2 9.2 10.9 11.4 10.8 11.4 12.2 8.3



36,583 48,580 389,799 255,265 11,484 4,789 60,841 5,516 6,752 10,016 31,526 40,815 12,638 5,978 28,634 24,916 27,801 121,192 121,192 55,546 55,546 216,791 9,106 38,363 9,200 85,111 65,372 9,639 573,921 23,929 12,838 42,338 381,542 113,274 247,426 247,426 1,082,523 197,331 323,070 59,496 90,415 99,415 18,454 294,342 68,727 68,727 152,583 152,583 300,066 33,424 176,463 8,139 12,328 40,312 10,724 5,145 8,776 4,755 60,208 60,208 47,617 47,617 161,294 20,646 104,826 35,822 80,637 80,637 64,861 64,861 62,462 5,571 56,891 110,575 88,931 21,644



32,726 36,505 348,634 209,682 10,719 4,512 43,166 4,806 6,145 9,211 23,033 29,241 10,687 5,068 25,082 23,001 22,500 114,090 114,090 50,329 50,329 204,600 8,842 33,321 8,916 82,312 61,987 9,222 496,004 22,254 11,901 35,643 335,881 90,325 231,567 231,567 1,048,046 186,937 313,734 54,260 83,146 92,818 16,674 300,477 66,847 66,847 147,083 147,083 282,511 29,172 169,073 7,915 11,953 36,212 10,297 5,034 8,370 4,485 58,691 58,691 46,423 46,423 156,697 19,836 102,080 34,781 73,897 73,897 54,583 54,583 60,057 5,494 54,563 110,227 88,817 21,410



3,857 12,075 41,165 45,583 765 277 17,675 710 607 805 8,493 11,574 1,951 910 3,552 1,915 5,301 7,102 7,102 5,217 5,217 12,191 264 5,042 284 2,799 3,385 417 77,917 1,675 937 6,695 45,661 22,949 15,859 15,859 34,477 10,394 9,336 5,236 7,269 6,597 1,780 –6,135 1,880 1,880 5,500 5,500 17,555 4,252 7,390 224 375 4,100 427 111 406 270 1,517 1,517 1,194 1,194 4,597 810 2,746 1,041 6,740 6,740 10,278 10,278 2,405 77 2,328 348 114 234



11.8 33.1 11.8 21.7 7.1 6.1 40.9 14.8 9.9 8.7 36.9 39.6 18.3 18.0 14.2 8.3 23.6 6.2 6.2 10.4 10.4 6.0 3.0 15.1 3.2 3.4 5.5 4.5 15.7 7.5 7.9 18.8 13.6 25.4 6.8 6.8 3.3 5.6 3.0 9.6 8.7 7.1 10.7 –2.0 2.8 2.8 3.7 3.7 6.2 14.6 4.4 2.8 3.1 11.3 4.1 2.2 4.9 6.0 2.6 2.6 2.6 2.6 2.9 4.1 2.7 3.0 9.1 9.1 18.8 18.8 4.0 1.4 4.3 0.3 0.1 1.1



Auburn-Opelika, AL . . . . . . . . . . . Lee County, AL. . . . . . . . . . . . . Augusta-Richmond County, GA-SC . Burke County, GA . . . . . . . . . . . Columbia County, GA . . . . . . . . McDuffie County, GA . . . . . . . . . Richmond County, GA . . . . . . . . Aiken County, SC . . . . . . . . . . . Edgefield County, SC . . . . . . . . Austin-Round Rock, TX. . . . . . . . . Bastrop County, TX . . . . . . . . . . Caldwell County, TX . . . . . . . . . Hays County, TX . . . . . . . . . . . Travis County, TX . . . . . . . . . . . Williamson County, TX. . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Kern County, CA. . . . . . . . . . . . Baltimore-Towson, MD . . . . . . . . . Anne Arundel County, MD . . . . . Baltimore County, MD . . . . . . . . Carroll County, MD . . . . . . . . . . Harford County, MD . . . . . . . . . Howard County, MD . . . . . . . . . Queen Anne’s County, MD . . . . . Baltimore city, MD. . . . . . . . . . . Bangor, ME . . . . . . . . . . . . . . . . Penobscot County, ME . . . . . . . Barnstable Town, MA . . . . . . . . . . Barnstable County, MA . . . . . . . Baton Rouge, LA . . . . . . . . . . . . . Ascension Parish, LA . . . . . . . . East Baton Rouge Parish, LA . . . East Feliciana Parish, LA . . . . . . Iberville Parish, LA . . . . . . . . . . Livingston Parish, LA. . . . . . . . . Pointe Coupee Parish, LA . . . . . St. Helena Parish, LA . . . . . . . . West Baton Rouge Parish, LA. . . West Feliciana Parish, LA . . . . .



Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . Calhoun County, MI. . . . . . . . . . . . . . . . . . . . . Bay City, MI . . . . . . . . . Bay County, MI. . . . . . Beaumont-Port Arthur, TX Hardin County, TX . . . Jefferson County, TX . . Orange County, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Bellingham, WA. . . . . . . . Whatcom County, WA . . Bend, OR . . . . . . . . . . . . Deschutes County, OR . Billings, MT. . . . . . . . . . . Carbon County, MT . . . . Yellowstone County, MT . Binghamton, NY . . . . . . . Broome County, NY . . . Tioga County, NY . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



209



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22.7 7.1 9.6 9.9 24.6 11.1 36.8 9.1 25.5 28.7 17.0 25.7 12.4 35.9 12.5 34.1 29.0 10.5 39.6 9.2 36.2 36.2 25.5 31.2 19.9 14.9 11.4 10.2 37.0 35.2 42.9 27.8 32.5 43.6 43.6 31.3 31.3 30.2 31.7 26.4 52.4 52.4 22.3 4.9 24.7 25.3 25.3 39.9 39.9 13.4 13.4 19.7 6.2 23.8 11.1 23.2 24.5 17.4 19.2 19.2 34.8 41.2 16.6 25.0 17.3 9.1 17.9 21.1 21.1 18.5 18.5 20.0 20.0 Percent of workers who drove alone to work 77.3 73.5 73.4 74.2 76.7 76.9 82.5 76.9 78.5 79.6 75.2 72.9 74.0 71.1 79.1 68.1 69.7 72.8 68.6 71.3 73.5 73.5 74.8 76.8 60.2 71.5 70.7 63.4 66.8 59.9 69.3 76.1 39.5 68.3 68.3 73.7 73.7 79.4 81.0 75.3 66.5 66.5 73.6 71.1 73.9 61.6 61.6 69.9 69.9 63.5 63.5 73.6 71.0 74.3 72.7 74.2 73.3 78.1 75.9 75.9 71.0 71.7 68.9 70.1 80.5 78.1 80.7 74.1 74.1 72.8 72.8 76.9 76.9 Percent of persons below poverty level in 1999 13.3 19.6 11.6 15.5 14.5 11.7 6.2 16.2 8.0 7.5 9.4 18.2 9.5 20.7 12.7 25.9 14.6 10.8 16.7 9.2 9.0 9.0 9.1 7.5 12.8 11.7 12.9 16.7 8.3 10.2 4.5 6.5 18.1 6.3 6.3 8.7 8.7 5.7 4.5 8.7 9.2 9.2 14.9 18.2 14.5 8.4 8.4 6.8 6.8 32.6 32.6 15.5 15.5 15.0 18.3 11.6 11.8 10.4 10.8 10.8 8.4 8.4 8.8 7.6 9.1 11.3 9.0 9.6 9.6 9.4 9.4 11.6 11.6 Housing units



Change 2000–20043 2004 (July 1) 477,954 8,578 21,634 18,281 298,362 29,228 68,606 33,265 42,480 31,366 11,114 65,624 8,015 34,520 16,799 6,290 80,539 15,750 54,575 10,214 65,492 65,492 209,234 135,717 4,699 57,874 6,311 4,633 1,784,647 740,574 259,617 187,574 293,383 583,879 583,879 292,125 292,125 168,069 119,679 48,390 119,889 119,889 48,023 6,334 41,689 97,245 97,245 345,195 345,195 133,926 133,926 48,340 6,683 35,472 6,185 518,182 421,092 97,090 59,889 59,889 86,407 61,379 20,179 4,849 174,327 13,096 161,231 292,830 292,830 22,401 22,401 30,433 30,433 20002 (estimates base) 454,338 8,345 21,158 17,651 288,162 27,303 59,302 32,417 39,591 29,004 10,587 62,755 7,732 32,561 16,325 6,137 75,752 15,053 50,846 9,853 59,972 59,972 181,170 118,516 4,349 47,965 5,888 4,452 1,751,585 729,198 255,154 181,524 292,520 576,681 576,681 287,144 287,144 158,562 113,023 45,539 111,440 111,440 44,454 6,104 38,350 92,644 92,644 339,466 339,466 119,654 119,654 44,861 6,490 32,636 5,735 511,583 415,868 95,715 55,461 55,461 82,718 58,864 19,191 4,663 170,040 13,016 157,024 245,405 245,405 21,283 21,283 29,882 29,882



Percent foreign born 2.1 0.4 3.1 1.9 2.3 0.6 2.4 0.7 1.3 1.5 0.9 3.7 0.8 5.8 0.6 2.5 3.9 0.5 5.4 0.4 3.3 3.3 5.7 4.3 2.4 8.6 4.9 11.9 13.7 15.6 11.8 6.3 25.5 15.2 15.2 11.3 11.3 3.6 3.7 3.4 9.4 9.4 3.8 0.4 4.3 5.7 5.7 16.9 16.9 25.6 25.6 2.7 0.9 3.3 1.0 4.4 4.5 3.9 6.3 6.3 5.4 5.9 3.7 4.2 1.7 0.6 1.8 9.2 9.2 9.9 9.9 1.8 1.8



Total workers 504,786 8,521 23,896 18,240 317,658 29,492 77,111 29,868 52,375 38,986 13,389 74,606 7,794 41,747 17,389 7,676 91,744 16,115 64,772 10,857 86,065 86,065 242,306 163,955 3,357 63,525 6,753 4,716 2,340,913 950,335 348,897 246,330 355,108 805,662 805,662 366,950 366,950 217,966 155,700 62,266 169,972 169,972 54,736 4,977 49,759 115,055 115,055 448,096 448,096 123,112 123,112 45,082 6,521 33,858 4,703 572,973 465,413 107,560 68,394 68,394 112,207 84,556 24,000 3,651 203,026 13,807 189,219 193,814 193,814 24,834 24,834 35,081 35,081



Total persons 139,841 4,091 5,930 6,152 95,674 7,584 8,932 11,478 7,623 5,237 2,386 27,467 1,582 17,341 4,444 4,100 25,667 3,566 20,095 2,006 13,488 13,488 42,501 22,471 852 15,438 1,959 1,781 362,866 184,944 29,377 30,649 124,918 92,705 92,705 63,137 63,137 22,080 12,347 9,733 26,818 26,818 15,550 2,117 13,433 19,601 19,601 59,689 59,689 109,288 109,288 14,376 2,266 10,120 1,990 135,192 112,358 22,834 14,183 14,183 16,803 12,267 4,011 525 37,110 3,245 33,865 42,316 42,316 4,923 4,923 7,695 7,695



Number 23,616 233 476 630 10,200 1,925 9,304 848 2,889 2,362 527 2,869 283 1,959 474 153 4,787 697 3,729 361 5,520 5,520 28,064 17,201 350 9,909 423 181 33,062 11,376 4,463 6,050 863 7,198 7,198 4,981 4,981 9,507 6,656 2,851 8,449 8,449 3,569 230 3,339 4,601 4,601 5,729 5,729 14,272 14,272 3,479 193 2,836 450 6,599 5,224 1,375 4,428 4,428 3,689 2,515 988 186 4,287 80 4,207 47,425 47,425 1,118 1,118 551 551



Percent 5.2 2.8 2.2 3.6 3.5 7.1 15.7 2.6 7.3 8.1 5.0 4.6 3.7 6.0 2.9 2.5 6.3 4.6 7.3 3.7 9.2 9.2 15.5 14.5 8.0 20.7 7.2 4.1 1.9 1.6 1.7 3.3 0.3 1.2 1.2 1.7 1.7 6.0 5.9 6.3 7.6 7.6 8.0 3.8 8.7 5.0 5.0 1.7 1.7 11.9 11.9 7.8 3.0 8.7 7.8 1.3 1.3 1.4 8.0 8.0 4.5 4.3 5.1 4.0 2.5 0.6 2.7 19.3 19.3 5.3 5.3 1.8 1.8



Birmingham-Hoover, AL Bibb County, AL . . . . Blount County, AL . . . Chilton County, AL . . Jefferson County, AL . St. Clair County, AL. . Shelby County, AL . . Walker County, AL . .



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Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . Burleigh County, ND . . . . . . . . . . . . . . . . . . . . Morton County, ND . . . . . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA . . . . Giles County, VA . . . . . . . . . . . . . . . . . Montgomery County, VA. . . . . . . . . . . . . Pulaski County, VA . . . . . . . . . . . . . . . . Radford city, VA . . . . . . . . . . . . . . . . . . Bloomington, IN. . . . . . . . . . . . . . . . . . . . Greene County, IN . . . . . . . . . . . . . . . . Monroe County, IN . . . . . . . . . . . . . . . . Owen County, IN . . . . . . . . . . . . . . . . . Bloomington-Normal, IL. . . . . . . . . . . . . . . McLean County, IL . . . . . . . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . . . . . . Ada County, ID. . . . . . . . . . . . . . . . . . . Boise County, ID. . . . . . . . . . . . . . . . . . Canyon County, ID . . . . . . . . . . . . . . . . Gem County, ID . . . . . . . . . . . . . . . . . . Owyhee County, ID . . . . . . . . . . . . . . . . Boston-Cambridge-Quincy, MA-NH . . . . . Boston-Quincy, MA . . . . . . . . . . . . . . . . Norfolk County, MA . . . . . . . . . . . . . . Plymouth County, MA . . . . . . . . . . . . . Suffolk County, MA . . . . . . . . . . . . . . Cambridge-Newton-Framingham, MA . . . . Middlesex County, MA . . . . . . . . . . . . Essex County, MA . . . . . . . . . . . . . . . . Essex County, MA . . . . . . . . . . . . . . . Rockingham County-Strafford County, NH . Rockingham County, NH . . . . . . . . . . . Strafford County, NH . . . . . . . . . . . . . Boulder, CO4 . . . . . . . . . . . . . . . . . . . . . Boulder County, CO4 . . . . . . . . . . . . . . . Bowling Green, KY. . . . . . . . . . . . . . . . . . Edmonson County, KY. . . . . . . . . . . . . . Warren County, KY . . . . . . . . . . . . . . . . Bremerton-Silverdale, WA . . . . . . . . . . . . . Kitsap County, WA . . . . . . . . . . . . . . . . Bridgeport-Stamford-Norwalk, CT . . . . . . . . Fairfield County, CT . . . . . . . . . . . . . . . Brownsville-Harlingen, TX . . . . . . . . . . . . . Cameron County, TX . . . . . . . . . . . . . . . Brunswick, GA . . . . . . . . . . . . . . . . . . . . Brantley County, GA . . . . . . . . . . . . . . . Glynn County, GA . . . . . . . . . . . . . . . . . McIntosh County, GA. . . . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . . . . . . . . . . Erie County, NY . . . . . . . . . . . . . . . . . . Niagara County, NY . . . . . . . . . . . . . . . Burlington, NC. . . . . . . . . . . . . . . . . . . . . Alamance County, NC . . . . . . . . . . . . . . Burlington-South Burlington, VT Chittenden County, VT. . . . . Franklin County, VT. . . . . . . Grand Isle County, VT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . Carroll County, OH . . . . . . . . . . . . . . . . . . . . . Stark County, OH . . . . . . . . . . . . . . . . . . . . . . Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . Lee County, FL. . . . . . . . . . . . . . . . . . . . . . . . Carson City, NV. . . . . Carson City, NV . . . Casper, WY . . . . . . . Natrona County, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



210



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24.9 13.9 12.7 27.7 34.5 38.0 13.9 21.0 17.9 7.2 7.3 20.6 5.9 19.7 25.0 14.4 30.7 21.4 28.0 9.2 19.1 14.2 37.1 21.3 20.9 38.3 47.7 24.5 19.8 20.8 40.8 19.4 13.8 10.9 10.2 23.9 9.5 10.2 23.4 23.4 29.0 29.4 28.0 26.8 41.7 15.2 27.7 25.3 27.7 25.5 17.3 13.0 16.2 9.6 22.6 34.9 38.6 19.2 21.8 21.8 24.8 15.4 12.5 11.6 22.8 9.5 20.5 6.9 9.4 22.9 9.7 8.8 23.5 20.8 29.2 28.4 16.2 12.5 12.0 19.3 10.2 Percent of workers who drove alone to work 77.3 73.7 73.1 78.1 66.0 64.2 74.4 79.7 74.4 73.9 66.8 73.7 69.1 79.9 72.6 73.7 70.9 76.8 75.1 69.9 78.5 77.2 73.8 76.6 75.6 69.6 75.1 74.6 75.1 65.7 56.0 77.1 81.4 71.6 78.0 76.6 75.7 77.0 75.7 75.7 64.7 63.0 56.9 71.1 75.9 80.0 74.7 79.1 78.4 77.7 74.9 75.2 73.0 76.2 80.5 72.8 71.9 76.5 65.9 65.9 76.5 78.9 76.3 78.6 80.5 66.9 75.0 72.6 71.8 76.8 70.9 73.3 79.1 80.0 73.6 82.0 73.4 68.4 76.5 75.9 71.2 Percent of persons below poverty level in 1999 6.4 6.0 7.9 6.3 13.4 14.7 6.7 4.9 15.4 21.9 27.3 14.2 27.7 9.3 13.6 11.3 15.9 9.4 9.2 16.8 6.9 10.7 9.0 8.0 9.8 10.9 6.6 5.6 6.5 12.1 22.1 11.7 9.3 9.3 12.2 11.8 13.9 16.3 8.7 8.7 10.3 10.7 13.3 10.3 3.6 4.8 6.6 3.0 3.6 4.8 10.3 6.4 12.0 6.8 5.8 5.9 5.5 7.3 19.3 19.3 9.3 6.5 7.0 7.1 5.6 10.7 9.1 13.2 10.9 8.9 11.3 11.5 8.4 7.0 11.6 4.1 11.2 13.7 12.2 9.6 12.3 Housing units



Change 2000–20043 2004 (July 1) 107,105 10,872 8,314 87,919 92,854 79,634 6,173 7,047 143,971 11,683 4,940 94,591 10,051 22,706 256,543 59,517 155,602 41,424 634,930 10,441 60,654 83,650 345,761 57,009 77,415 81,325 37,839 9,568 6,811 9,068 18,039 217,028 24,053 6,397 27,193 141,211 13,057 5,117 35,875 35,875 3,627,825 3,037,420 2,134,456 35,659 350,387 16,605 159,302 25,938 106,501 208,572 283,408 12,324 202,916 5,986 62,182 306,997 242,583 64,414 90,310 90,310 880,073 19,258 9,082 2,596 40,145 3,831 38,094 3,475 10,082 67,064 5,916 17,825 137,220 75,465 380,585 69,435 100,234 28,337 6,944 58,759 6,194 20002 (estimates base) 99,054 10,377 8,126 80,551 88,139 75,280 6,060 6,799 141,666 11,575 4,836 93,788 9,846 21,621 232,957 54,717 141,025 37,215 546,423 10,221 52,848 78,815 292,755 45,723 66,061 73,869 33,740 8,018 5,986 8,554 17,571 205,322 21,773 6,224 25,577 134,692 12,140 4,916 34,213 34,213 3,462,286 2,906,717 2,096,122 32,988 335,621 15,040 138,998 19,519 92,905 175,524 269,570 11,236 194,992 5,726 57,616 285,999 226,010 59,989 85,523 85,523 833,075 17,797 8,596 2,424 33,351 3,715 36,898 3,362 9,306 63,571 5,756 17,193 129,749 69,226 373,393 58,738 92,024 27,182 6,698 52,167 5,977



Percent foreign born 2.2 0.6 0.8 2.6 7.0 8.0 1.1 0.6 1.1 0.4 0.1 1.4 0.0 1.0 3.3 3.1 3.6 2.8 6.9 0.7 4.7 3.3 9.8 5.7 2.4 5.7 7.3 2.3 1.6 1.9 6.9 2.4 1.7 1.4 1.0 3.0 0.5 1.2 2.9 2.9 16.1 17.4 19.8 5.8 15.3 2.7 15.7 5.3 7.2 7.1 4.6 1.5 5.3 2.3 3.0 12.9 14.8 4.8 7.7 7.7 2.6 0.8 0.6 0.1 3.0 0.3 1.4 0.4 1.0 1.6 0.5 0.4 2.7 1.6 3.4 2.3 3.5 2.5 0.8 4.4 1.7



Total workers 130,927 13,185 10,128 107,614 114,720 98,835 7,117 8,768 141,028 9,615 3,614 94,658 8,041 25,100 273,253 70,410 155,555 47,288 719,296 10,756 70,000 96,898 389,714 65,074 86,854 88,552 41,043 10,134 8,313 7,143 21,919 240,455 28,092 7,471 29,025 157,919 12,742 5,206 41,881 41,881 4,559,787 3,814,721 2,620,175 48,904 492,352 19,468 206,024 29,697 140,203 257,898 329,905 14,785 230,901 7,259 76,960 415,161 337,181 77,980 91,098 91,098 1,027,076 23,905 11,126 2,964 46,791 4,085 45,176 3,758 11,249 80,078 6,954 20,128 170,576 93,287 426,778 80,221 117,796 35,688 5,853 70,666 5,589



Total persons 15,268 1,522 1,596 12,150 28,215 26,460 956 799 47,693 5,584 2,816 28,374 6,134 4,785 74,504 16,066 49,330 9,108 122,312 4,235 9,108 20,309 62,652 9,926 16,082 19,033 5,232 1,121 987 1,743 9,950 55,863 4,966 1,404 7,466 36,308 3,867 1,852 7,104 7,104 934,512 818,086 713,040 9,203 32,163 1,786 26,587 1,636 9,446 24,225 69,797 1,923 58,380 993 8,501 46,629 35,714 10,915 39,148 39,148 186,697 3,011 1,556 398 4,785 888 8,093 1,035 2,436 13,487 1,627 4,856 27,946 12,462 97,692 6,425 25,980 9,935 1,537 12,982 1,526



Number 8,051 495 188 7,368 4,715 4,354 113 248 2,305 108 104 803 205 1,085 23,586 4,800 14,577 4,209 88,507 220 7,806 4,835 53,006 11,286 11,354 7,456 4,099 1,550 825 514 468 11,706 2,280 173 1,616 6,519 917 201 1,662 1,662 165,539 130,703 38,334 2,671 14,766 1,565 20,304 6,419 13,596 33,048 13,838 1,088 7,924 260 4,566 20,998 16,573 4,425 4,787 4,787 46,998 1,461 486 172 6,794 116 1,196 113 776 3,493 160 632 7,471 6,239 7,192 10,697 8,210 1,155 246 6,592 217



Percent 8.1 4.8 2.3 9.1 5.3 5.8 1.9 3.6 1.6 0.9 2.2 0.9 2.1 5.0 10.1 8.8 10.3 11.3 16.2 2.2 14.8 6.1 18.1 24.7 17.2 10.1 12.1 19.3 13.8 6.0 2.7 5.7 10.5 2.8 6.3 4.8 7.6 4.1 4.9 4.9 4.8 4.5 1.8 8.1 4.4 10.4 14.6 32.9 14.6 18.8 5.1 9.7 4.1 4.5 7.9 7.3 7.3 7.4 5.6 5.6 5.6 8.2 5.7 7.1 20.4 3.1 3.2 3.4 8.3 5.5 2.8 3.7 5.8 9.0 1.9 18.2 8.9 4.2 3.7 12.6 3.6



Cedar Rapids, IA . . . Benton County, IA. Jones County, IA . Linn County, IA. . .



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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Champaign-Urbana, IL . . Champaign County, IL . Ford County, IL . . . . . Piatt County, IL. . . . . .



Charleston, WV . . . . . . . . . . . . . . . . Boone County, WV . . . . . . . . . . . . Clay County, WV . . . . . . . . . . . . . Kanawha County, WV . . . . . . . . . . Lincoln County, WV. . . . . . . . . . . . Putnam County, WV . . . . . . . . . . . Charleston-North Charleston, SC . . . . Berkeley County, SC . . . . . . . . . . . Charleston County, SC . . . . . . . . . Dorchester County, SC . . . . . . . . . Charlotte-Gastonia-Concord, NC-SC . . Anson County, NC . . . . . . . . . . . . Cabarrus County, NC . . . . . . . . . . Gaston County, NC . . . . . . . . . . . . Mecklenburg County, NC . . . . . . . . Union County, NC . . . . . . . . . . . . . York County, SC . . . . . . . . . . . . . . Charlottesville, VA . . . . . . . . . . . . . . Albemarle County, VA . . . . . . . . . . Fluvanna County, VA . . . . . . . . . . . Greene County, VA . . . . . . . . . . . . Nelson County, VA . . . . . . . . . . . . Charlottesville city, VA . . . . . . . . . . Chattanooga, TN-GA . . . . . . . . . . . . Catoosa County, GA . . . . . . . . . . . Dade County, GA . . . . . . . . . . . . . Walker County, GA . . . . . . . . . . . . Hamilton County, TN . . . . . . . . . . . Marion County, TN . . . . . . . . . . . . Sequatchie County, TN . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . . Laramie County, WY . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI . . Chicago-Naperville-Joliet, IL . . . . . . Cook County, IL. . . . . . . . . . . . . DeKalb County, IL . . . . . . . . . . . DuPage County, IL. . . . . . . . . . . Grundy County, IL . . . . . . . . . . . Kane County, IL. . . . . . . . . . . . . Kendall County, IL . . . . . . . . . . . McHenry County, IL . . . . . . . . . . Will County, IL. . . . . . . . . . . . . . Gary, IN . . . . . . . . . . . . . . . . . . . Jasper County, IN . . . . . . . . . . . Lake County, IN. . . . . . . . . . . . . Newton County, IN . . . . . . . . . . . Porter County, IN . . . . . . . . . . . . Lake County-Kenosha County, IL-WI Lake County, IL . . . . . . . . . . . . . Kenosha County, WI. . . . . . . . . . Chico, CA. . . . . . . . . . . . . . . . . . . . Butte County, CA . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN Dearborn County, IN . . . . . . . Franklin County, IN . . . . . . . . Ohio County, IN . . . . . . . . . . Boone County, KY . . . . . . . . Bracken County, KY . . . Campbell County, KY . . Gallatin County, KY . . . . Grant County, KY . . . . . Kenton County, KY . . . . Pendleton County, KY . . Brown County, OH . . . . Butler County, OH. . . . . Clermont County, OH . . Hamilton County, OH. . . Warren County, OH . . . . Clarksville, TN-KY . . . . . . Christian County, KY . . . Trigg County, KY . . . . . Montgomery County, TN Stewart County, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



211



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.5 15.9 7.5 23.9 25.1 31.7 21.5 16.6 24.8 19.1 19.1 31.5 37.0 13.2 12.7 31.8 31.8 31.7 39.9 41.7 17.9 26.6 14.2 11.7 16.3 24.6 32.5 11.9 18.3 9.7 25.0 21.1 8.9 20.3 22.0 22.0 28.3 41.0 20.8 31.8 18.4 13.0 9.5 11.4 15.9 17.7 16.7 18.8 13.0 47.4 47.4 13.4 14.1 11.7 28.5 30.4 47.3 27.0 13.9 36.6 17.1 16.8 12.3 32.7 24.8 13.8 18.6 26.6 13.0 11.1 7.2 12.8 12.5 12.5 11.3 9.3 13.9 19.9 15.7 12.6 17.1 24.9 Percent of workers who drove alone to work 76.3 77.3 70.1 75.6 72.5 78.9 82.9 79.1 82.6 73.2 73.2 68.5 68.2 71.4 68.0 73.2 73.4 70.1 72.0 72.2 68.3 73.4 71.8 70.3 73.8 78.9 70.1 71.3 69.7 75.1 48.8 81.1 65.0 69.1 79.7 79.7 77.3 81.7 81.1 75.9 78.8 79.2 77.4 79.3 80.0 69.3 68.1 69.3 69.6 66.0 66.0 72.5 72.3 73.2 73.6 72.4 79.9 69.2 72.0 77.7 74.9 71.2 73.1 80.1 75.8 75.3 75.4 76.0 72.3 73.7 75.4 72.9 73.7 73.7 74.0 76.7 70.3 77.7 77.5 76.6 76.2 79.3 Percent of persons below poverty level in 1999 12.0 11.9 12.9 10.5 12.9 4.5 5.0 8.7 4.5 10.3 10.3 23.5 24.5 17.1 20.3 7.7 7.8 5.3 13.4 13.6 10.8 11.8 16.1 19.3 12.7 8.9 12.6 15.4 14.9 19.6 7.1 8.1 22.1 14.9 7.2 7.2 9.6 3.7 5.8 11.4 7.3 6.9 8.9 8.3 4.3 17.9 19.7 17.9 17.6 13.6 13.6 13.8 13.5 14.4 10.6 10.8 4.8 13.2 17.1 6.5 8.4 12.4 10.3 4.6 10.1 8.6 8.0 10.4 9.6 11.7 12.6 11.4 12.8 12.8 15.1 11.7 19.4 9.9 7.9 7.7 10.4 10.3 Housing units



Change 2000–20043 2004 (July 1) 46,828 39,117 7,711 931,197 619,448 34,499 96,211 118,432 62,607 52,411 52,411 82,466 65,867 8,510 8,089 238,861 227,386 11,475 67,545 63,082 4,463 290,545 7,229 10,695 24,146 97,791 141,931 8,753 122,518 24,158 3,329 11,733 3,217 80,081 30,727 30,727 743,500 54,906 53,591 507,039 63,541 15,172 12,458 19,401 17,392 167,923 13,763 127,722 26,438 33,969 33,969 45,768 33,037 12,731 2,201,825 1,472,450 239,181 903,877 2,461 199,418 44,617 33,426 28,938 20,532 729,375 49,684 36,478 622,966 20,247 48,854 15,333 33,521 36,710 36,710 52,321 29,118 23,203 162,207 21,543 7,214 64,883 68,567 20002 (estimates base) 44,189 36,820 7,369 911,329 616,876 32,805 93,487 111,368 56,793 46,607 46,607 75,094 59,023 8,197 7,874 212,790 202,428 10,362 61,024 56,678 4,346 269,244 6,864 10,383 22,683 90,978 129,793 8,543 115,747 22,831 3,316 10,288 3,130 76,182 29,853 29,853 680,457 42,374 47,934 471,007 58,798 14,399 12,132 18,596 15,217 160,753 12,848 123,041 24,864 31,980 31,980 45,078 32,984 12,094 1,997,943 1,332,518 194,946 854,048 2,410 168,069 39,071 32,490 26,133 15,351 665,425 46,269 34,084 565,830 19,242 45,063 14,320 30,743 36,350 36,350 51,119 28,011 23,108 158,528 21,270 7,109 64,493 65,656



Percent foreign born 2.0 2.2 0.8 5.3 6.4 2.8 4.3 2.6 3.0 2.4 2.4 9.0 10.3 3.0 3.3 6.3 6.4 1.8 4.3 4.5 1.0 3.3 1.0 0.5 1.7 2.9 3.9 5.9 4.0 2.0 6.0 1.9 5.0 4.7 3.8 3.8 4.5 2.6 1.3 6.0 1.1 1.1 0.5 0.7 1.0 5.9 5.7 6.5 3.3 7.6 7.6 1.1 1.2 0.6 15.2 17.0 13.3 20.9 0.5 9.4 7.1 4.7 5.7 7.8 11.4 5.2 2.6 12.7 5.1 12.7 3.6 16.6 1.7 1.7 1.2 1.0 1.4 3.4 1.7 0.6 4.6 3.1



Total workers 52,030 44,724 7,306 1,068,907 676,874 46,454 123,182 141,833 80,564 54,471 54,471 93,231 79,136 7,360 6,735 292,067 280,574 11,493 82,411 77,188 5,223 339,343 6,978 10,838 26,519 115,110 170,704 9,194 136,838 21,672 9,032 12,368 3,147 90,619 37,181 37,181 863,882 60,918 63,714 584,391 75,423 18,802 16,024 23,277 21,333 183,553 9,344 145,403 28,806 40,427 40,427 45,523 32,996 12,527 2,681,811 1,800,113 275,351 1,123,518 2,403 248,793 56,473 36,737 34,843 21,995 881,698 62,376 43,493 752,129 23,700 59,644 18,556 41,088 38,705 38,705 52,844 30,949 21,895 194,944 26,184 8,534 76,299 83,927



Total persons 12,529 10,463 2,066 226,498 179,372 4,096 11,372 24,809 6,849 11,229 11,229 43,473 37,417 2,813 3,243 41,414 40,318 1,096 19,468 18,366 1,102 76,293 2,439 4,518 6,668 19,331 40,386 2,951 42,042 9,743 1,051 1,929 1,578 27,741 5,164 5,164 155,402 4,118 7,064 121,843 10,602 2,790 2,820 4,402 1,763 72,330 4,429 56,097 11,804 10,665 10,665 14,041 10,149 3,892 547,385 374,218 23,784 293,267 911 28,039 9,401 9,518 7,313 1,985 173,167 10,921 7,069 150,488 4,689 14,077 4,583 9,494 10,704 10,704 16,586 7,217 9,369 37,194 4,038 1,304 15,523 16,329



Number 2,639 2,297 342 19,868 2,572 1,694 2,724 7,064 5,814 5,804 5,804 7,372 6,844 313 215 26,071 24,958 1,113 6,521 6,404 117 21,301 365 312 1,463 6,813 12,138 210 6,771 1,327 13 1,445 87 3,899 874 874 63,043 12,532 5,657 36,032 4,743 773 326 805 2,175 7,170 915 4,681 1,574 1,989 1,989 690 53 637 203,882 139,932 44,235 49,829 51 31,349 5,546 936 2,805 5,181 63,950 3,415 2,394 57,136 1,005 3,791 1,013 2,778 360 360 1,202 1,107 95 3,679 273 105 390 2,911



Percent 6.0 6.2 4.6 2.2 0.4 5.2 2.9 6.3 10.2 12.5 12.5 9.8 11.6 3.8 2.7 12.3 12.3 10.7 10.7 11.3 2.7 7.9 5.3 3.0 6.4 7.5 9.4 2.5 5.8 5.8 0.4 14.0 2.8 5.1 2.9 2.9 9.3 29.6 11.8 7.6 8.1 5.4 2.7 4.3 14.3 4.5 7.1 3.8 6.3 6.2 6.2 1.5 0.2 5.3 10.2 10.5 22.7 5.8 2.1 18.7 14.2 2.9 10.7 33.8 9.6 7.4 7.0 10.1 5.2 8.4 7.1 9.0 1.0 1.0 2.4 4.0 0.4 2.3 1.3 1.5 0.6 4.4



Cleveland, TN . . . . . . . . . . Bradley County, TN . . . . . Polk County, TN . . . . . . . Cleveland-Elyria-Mentor, OH Cuyahoga County, OH . . . Geauga County, OH . . . . Lake County, OH . . . . . . Lorain County, OH . . . . . Medina County, OH. . . . . Coeur d’Alene, ID . . . . . . . Kootenai County, ID . . . .



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College Station-Bryan, TX . . . . . . . Brazos County, TX . . . . . . . . . . Burleson County, TX . . . . . . . . . Robertson County, TX . . . . . . . . Colorado Springs, CO. . . . . . . . . . El Paso County, CO . . . . . . . . . Teller County, CO . . . . . . . . . . . Columbia, MO . . . . . . . . . . . . . . . Boone County, MO . . . . . . . . . . Howard County, MO . . . . . . . . . Columbia, SC . . . . . . . . . . . . . . . Calhoun County, SC . . . . . . . . . Fairfield County, SC . . . . . . . . . Kershaw County, SC . . . . . . . . . Lexington County, SC . . . . . . . . Richland County, SC . . . . . . . . . Saluda County, SC . . . . . . . . . . Columbus, GA-AL . . . . . . . . . . . . Russell County, AL . . . . . . . . . . Chattahoochee County, GA . . . . Harris County, GA. . . . . . . . . . . Marion County, GA . . . . . . . . . . Muscogee County, GA . . . . . . . . Columbus, IN . . . . . . . . . . . . . . . Bartholomew County, IN. . . . . . . Columbus, OH . . . . . . . . . . . . . . Delaware County, OH . . . . . . . . Fairfield County, OH . . . . . . . . . Franklin County, OH . . . . . . . . . Licking County, OH . . . . . . . . . . Madison County, OH . . . . . . . . . Morrow County, OH. . . . . . . . . . Pickaway County, OH . . . . . . . . Union County, OH. . . . . . . . . . . Corpus Christi, TX . . . . . . . . . . . . Aransas County, TX . . . . . . . . . Nueces County, TX . . . . . . . . . . San Patricio County, TX . . . . . . . Corvallis, OR . . . . . . . . . . . . . . . Benton County, OR . . . . . . . . . . Cumberland, MD-WV . . . . . . . . . . Allegany County, MD . . . . . . . . . Mineral County, WV . . . . . . . . . Dallas-Fort Worth-Arlington, TX . . Dallas-Plano-Irving, TX . . . . . . . Collin County, TX. . . . . . . . . . Dallas County, TX . . . . . . . . . Delta County, TX . . . . . . . . . . Denton County, TX. . . . . . . . . Ellis County, TX. . . . . . . . . . . Hunt County, TX . . . . . . . . . . Kaufman County, TX . . . . . . . Rockwall County, TX . . . . . . . Fort Worth-Arlington, TX . . . . . . Johnson County, TX . . . . . . . . Parker County, TX . . . . . . . . . Tarrant County, TX . . . . . . . . . Wise County, TX . . . . . . . . . . Dalton, GA . . . . . . . . . . . . . . . . . Murray County, GA . . . . . . . . . . Whitfield County, GA . . . . . . . . . Danville, IL . . . . . . . . . . . . . . . . . Vermilion County, IL . . . . . . . . . Danville, VA . . . . . . . . . . . . . . . . Pittsylvania County, VA . . . . . . . Danville city, VA . . . . . . . . . . . . Davenport-Moline-Rock Island, IA-IL Henry County, IL. . . . . . . . . . . . Mercer County, IL . . . . . . . . . . . Rock Island County, IL. . . . . . . . Scott County, IA . . . . . . . . . . . . See footnotes at end of table.



212



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22.8 31.1 16.3 22.8 10.1 15.8 7.5 18.4 16.9 16.9 17.6 17.6 34.2 17.4 37.0 (X) 38.8 34.5 51.9 26.6 31.2 36.5 30.3 27.9 26.8 14.9 14.4 29.7 21.2 23.2 17.2 17.2 28.1 12.7 28.2 17.6 38.2 12.6 15.9 8.7 14.1 18.4 18.6 18.6 21.3 21.3 20.5 14.9 21.9 18.3 38.8 27.6 40.1 51.5 10.3 22.1 14.7 27.0 10.3 10.3 14.8 15.4 10.9 15.5 15.5 18.6 18.6 16.6 16.6 20.9 20.9 25.5 25.5 Percent of workers who drove alone to work 78.5 78.9 82.2 77.7 78.6 79.0 77.5 79.4 77.0 77.0 72.5 72.5 71.7 71.1 75.1 (X) 70.0 63.1 78.7 72.9 69.5 75.8 62.8 76.8 78.3 69.9 74.0 77.0 75.8 77.9 71.2 71.2 82.9 77.3 82.8 83.5 83.5 77.7 78.5 74.4 75.3 80.2 74.0 74.0 77.1 77.1 72.5 75.9 71.8 73.3 69.3 73.3 69.7 65.6 74.2 75.6 76.5 75.1 61.8 61.8 74.0 73.8 75.5 75.5 75.5 73.3 73.3 67.5 67.5 73.7 73.7 65.8 65.8 Percent of persons below poverty level in 1999 9.7 8.0 6.6 11.0 6.0 12.9 15.1 12.1 12.5 12.5 11.3 11.3 7.9 8.8 5.7 (X) 5.4 14.0 2.1 4.0 4.0 5.1 5.5 7.3 5.5 7.8 6.6 7.8 4.9 10.4 16.1 16.1 5.5 5.3 3.3 5.6 5.5 7.7 16.2 19.4 18.8 14.8 10.3 10.3 7.4 7.4 11.0 7.5 11.6 10.6 12.4 9.6 12.8 13.0 11.9 9.5 8.0 10.3 20.8 20.8 10.3 9.6 15.2 7.7 7.7 12.1 12.1 23.4 23.4 11.4 11.4 14.1 14.1 Housing units



Change 2000–20043 2004 (July 1) 374,764 62,642 41,580 252,728 17,814 64,711 15,466 49,245 51,380 51,380 230,718 230,718 988,683 149,389 220,306 17,790 5,378 265,101 85,040 8,154 3,200 222,078 12,247 219,876 18,806 5,655 6,101 172,904 16,410 1,864,404 834,620 834,620 1,029,784 34,771 68,377 341,420 513,148 72,068 62,299 12,372 8,280 41,647 56,304 56,304 37,326 37,326 133,828 14,794 97,818 21,216 200,646 23,742 107,996 52,509 16,399 65,325 25,083 40,242 47,775 47,775 46,810 40,545 6,265 75,012 75,012 38,033 38,033 240,600 240,600 116,307 116,307 144,372 144,372 20002 (estimates base) 364,407 58,224 40,554 248,443 17,186 62,397 15,009 47,388 50,241 50,241 211,938 211,938 876,377 127,088 197,192 (X) 5,128 251,069 63,333 7,113 2,929 211,828 10,697 199,394 16,529 5,467 5,661 156,448 15,289 1,797,185 826,145 826,145 971,040 32,732 58,919 320,276 492,006 67,107 59,723 12,115 8,037 39,571 50,481 50,481 35,508 35,508 129,877 13,721 95,800 20,356 180,022 21,358 95,452 47,708 15,504 60,295 22,821 37,474 43,891 43,891 43,532 37,672 5,860 69,791 69,791 37,745 37,745 224,447 224,447 114,322 114,322 138,954 138,954



Percent foreign born 2.4 3.4 1.5 2.5 0.6 2.2 0.5 2.7 1.4 1.4 6.4 6.4 10.9 12.5 11.0 (X) 1.9 17.4 5.2 1.9 3.4 5.4 2.2 5.1 4.0 1.2 0.6 5.9 1.1 7.6 6.7 6.7 8.3 2.2 3.0 8.8 10.0 2.7 1.4 0.8 1.1 1.6 4.0 4.0 1.9 1.9 1.8 1.6 1.9 1.6 9.3 8.7 10.9 9.1 1.3 1.8 0.9 2.2 32.2 32.2 4.0 4.5 0.4 7.1 7.1 2.2 2.2 27.4 27.4 2.7 2.7 4.9 4.9



Total workers 431,604 78,098 52,381 279,635 21,490 69,343 15,774 53,569 56,708 56,708 201,913 201,913 1,193,561 190,881 273,207 (X) 5,776 301,714 98,970 11,056 3,150 300,673 8,134 269,708 22,636 5,884 7,394 210,961 22,833 2,186,795 930,640 930,640 1,256,155 43,411 83,868 408,563 637,937 82,376 61,756 11,799 7,237 42,720 64,387 64,387 47,961 47,961 138,792 15,270 101,258 22,264 229,178 25,874 120,651 65,009 17,644 80,957 28,970 51,987 50,788 50,788 54,416 48,182 6,234 96,532 96,532 42,550 42,550 274,811 274,811 137,485 137,485 166,126 166,126



Total persons 82,370 11,847 6,531 61,440 2,552 18,747 5,271 13,476 14,316 14,316 49,907 49,907 170,649 32,036 27,987 1,588 501 77,813 3,706 791 191 26,821 803 35,082 2,250 888 920 29,051 1,973 464,642 332,598 332,598 132,044 4,654 5,228 44,010 65,478 12,674 21,226 5,010 3,070 13,146 13,083 13,083 6,639 6,639 30,205 2,389 23,211 4,605 52,821 4,723 28,557 15,318 4,223 14,023 4,442 9,581 29,681 29,681 11,081 9,051 2,030 14,058 14,058 11,063 11,063 158,722 158,722 32,108 32,108 45,423 45,423



Number 10,357 4,418 1,026 4,285 628 2,314 457 1,857 1,139 1,139 18,780 18,780 112,306 22,301 23,114 (X) 250 14,032 21,707 1,041 271 10,250 1,550 20,482 2,277 188 440 16,456 1,121 67,219 8,475 8,475 58,744 2,039 9,458 21,144 21,142 4,961 2,576 257 243 2,076 5,823 5,823 1,818 1,818 3,951 1,073 2,018 860 20,624 2,384 12,544 4,801 895 5,030 2,262 2,768 3,884 3,884 3,278 2,873 405 5,221 5,221 288 288 16,153 16,153 1,985 1,985 5,418 5,418



Percent 2.8 7.6 2.5 1.7 3.7 3.7 3.0 3.9 2.3 2.3 8.9 8.9 12.8 17.5 11.7 (X) 4.9 5.6 34.3 14.6 9.3 4.8 14.5 10.3 13.8 3.4 7.8 10.5 7.3 3.7 1.0 1.0 6.0 6.2 16.1 6.6 4.3 7.4 4.3 2.1 3.0 5.2 11.5 11.5 5.1 5.1 3.0 7.8 2.1 4.2 11.5 11.2 13.1 10.1 5.8 8.3 9.9 7.4 8.8 8.8 7.5 7.6 6.9 7.5 7.5 0.8 0.8 7.2 7.2 1.7 1.7 3.9 3.9



Dayton, OH . . . . . . . . . . Greene County, OH. . . . Miami County, OH. . . . . Montgomery County, OH Preble County, OH . . . .



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. . . . .



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Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . Lawrence County, AL. . . . . . . . . . . . . . . . . . . . Morgan County, AL . . . . . . . . . . . . . . . . . . . . . Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . Macon County, IL . . . . . . . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, FL Volusia County, FL . . . . . . . . . . . . . . . Denver-Aurora, CO4 . . . . . . . . . . . . . . . . Adams County, CO4 . . . . . . . . . . . . . . Arapahoe County, CO . . . . . . . . . . . . . Broomfield County, CO4 . . . . . . . . . . . . Clear Creek County, CO . . . . . . . . . . . Denver County, CO . . . . . . . . . . . . . . . Douglas County, CO . . . . . . . . . . . . . . Elbert County, CO. . . . . . . . . . . . . . . . Gilpin County, CO . . . . . . . . . . . . . . . . Jefferson County, CO4 . . . . . . . . . . . . . Park County, CO . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . . . . . . . . . . . Dallas County, IA . . . . . . . . . . . . . . . . Guthrie County, IA . . . . . . . . . . . . . . . Madison County, IA . . . . . . . . . . . . . . . Polk County, IA . . . . . . . . . . . . . . . . . Warren County, IA. . . . . . . . . . . . . . . . Detroit-Warren-Livonia, MI. . . . . . . . . . . Detroit-Livonia-Dearborn, MI . . . . . . . . . Wayne County, MI . . . . . . . . . . . . . . Warren-Farmington Hills-Troy, MI . . . . . . Lapeer County, MI . . . . . . . . . . . . . . Livingston County, MI . . . . . . . . . . . . Macomb County, MI . . . . . . . . . . . . . Oakland County, MI . . . . . . . . . . . . . St. Clair County, MI . . . . . . . . . . . . . Dothan, AL . . . . . . . . . . . . . . . . . . . . . . Geneva County, AL . . . . . . . . . . . . . . . Henry County, AL . . . . . . . . . . . . . . . . Houston County, AL . . . . . . . . . . . . . . Dover, DE . . . . . . . . . . . . . . . . . . . . . . Kent County, DE. . . . . . . . . . . . . . . . . Dubuque, IA . . . . . . . . . . . . . . . . . . . . . Dubuque County, IA . . . . . . . . . . . . . . Duluth, MN-WI . . . . . . . . . . . . . . . . . . . Carlton County, MN. . . . . . . . . . . . . . . St. Louis County, MN. . . . . . . . . . . . . . Douglas County, WI . . . . . . . . . . . . . . Durham, NC . . . . . . . . . . . . . . . . . . . . . Chatham County, NC. . . . . . . . . . . . . . Durham County, NC . . . . . . . . . . . . . . Orange County, NC. . . . . . . . . . . . . . . Person County, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . Chippewa County, WI . . . . . . . . . . . . . . . . . . . Eau Claire County, WI . . . . . . . . . . . . . . . . . . . El Centro, CA . . . . . . . Imperial County, CA . Elizabethtown, KY . . . . Hardin County, KY . . Larue County, KY . . . Elkhart-Goshen, IN. . . . Elkhart County, IN. . . Elmira, NY . . . . . . . . . Chemung County, NY El Paso, TX . . . . . . . . El Paso County, TX. . Erie, PA . . . . . . . . . . . Erie County, PA . . . . Eugene-Springfield, OR Lane County, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



213



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.4 12.4 14.8 19.3 21.8 13.8 7.1 27.0 27.0 29.4 24.7 31.3 13.5 13.5 18.3 19.1 10.9 20.9 20.3 10.1 24.5 7.0 29.9 29.9 16.2 16.2 16.9 13.5 18.7 16.8 14.1 18.5 16.9 16.9 39.5 39.5 13.2 9.7 11.0 16.6 11.3 10.9 24.2 24.2 21.3 22.7 14.3 13.3 17.5 17.5 13.4 13.4 36.7 38.7 9.4 18.7 18.7 18.9 23.2 14.3 15.0 15.0 24.2 17.6 27.8 22.0 22.0 22.7 14.7 10.8 25.8 11.4 Percent of workers who drove alone to work 78.9 78.4 80.9 77.8 84.8 76.9 71.9 65.5 65.5 77.2 72.0 79.1 70.1 70.1 70.2 70.3 69.1 73.3 76.8 66.5 71.8 63.5 61.9 61.9 76.1 76.1 72.4 72.1 72.6 79.9 80.7 79.4 76.3 76.3 72.8 72.8 74.3 76.0 71.7 75.9 70.8 72.1 78.2 78.2 79.2 78.8 80.8 82.0 64.0 64.0 77.9 77.9 67.9 67.7 71.5 72.1 72.1 74.1 74.7 73.5 74.2 74.2 74.5 71.7 75.6 71.4 71.4 77.8 77.5 76.7 78.3 72.6 Percent of persons below poverty level in 1999 9.7 8.0 7.3 10.7 5.3 12.0 15.1 7.5 7.5 10.5 12.2 9.7 21.3 21.3 12.5 12.0 17.0 12.8 9.9 18.4 14.0 20.5 17.7 17.7 12.9 12.9 17.3 19.9 16.0 14.0 13.8 14.1 5.6 5.6 9.0 9.0 15.4 14.1 15.0 13.4 18.4 19.5 8.5 8.5 8.4 9.0 5.8 4.8 22.4 22.4 15.4 15.4 21.0 21.5 12.8 12.2 12.2 9.2 9.5 8.9 13.3 13.3 11.2 10.5 11.5 10.0 10.0 8.5 5.4 7.9 8.7 11.4 Housing units



Change 2000–20043 2004 (July 1) 154,784 14,757 11,485 79,591 22,429 20,125 6,397 33,780 33,780 80,602 21,195 59,407 44,359 44,359 139,833 125,622 14,211 163,309 72,810 6,770 74,074 9,655 57,224 57,224 193,626 193,626 82,873 29,715 53,158 67,468 25,815 41,653 41,102 41,102 119,416 119,416 119,973 22,406 7,856 51,288 20,731 17,692 85,065 85,065 172,293 147,408 11,473 13,412 286,072 286,072 47,397 47,397 108,888 102,700 6,188 58,848 58,848 63,753 36,269 27,484 49,510 49,510 42,556 14,427 28,129 54,539 54,539 309,632 25,295 23,427 236,522 24,388 20002 (estimates base) 147,763 14,125 11,076 76,300 20,546 19,466 6,250 33,291 33,291 73,536 19,746 53,790 43,221 43,221 130,943 118,425 12,518 144,435 64,281 6,537 64,330 9,287 53,443 53,443 183,635 183,635 80,778 28,942 51,836 65,404 24,980 40,424 39,271 39,271 105,392 105,392 115,381 21,315 7,673 49,310 20,143 16,940 78,593 78,593 162,420 138,905 10,970 12,545 270,767 270,767 45,959 45,959 101,019 95,113 5,906 51,056 51,056 61,646 34,852 26,794 47,313 47,313 41,381 14,008 27,373 48,718 48,718 293,084 23,876 22,006 224,000 23,202



Percent foreign born 1.3 0.9 0.5 1.6 1.3 1.1 1.9 4.0 4.0 3.0 2.6 3.2 2.4 2.4 5.3 5.3 5.8 6.6 6.4 1.8 7.4 5.6 4.3 4.3 2.1 2.1 1.5 0.9 1.8 1.0 0.9 1.0 2.0 2.0 4.3 4.3 4.0 2.4 1.3 6.9 2.5 0.7 5.3 5.3 3.6 4.0 0.8 0.8 21.1 21.1 1.6 1.6 6.9 7.3 1.7 16.2 16.2 2.2 2.4 1.9 4.2 4.2 2.9 2.2 3.2 3.0 3.0 5.4 0.8 1.2 6.6 1.8



Total workers 177,387 16,657 13,719 90,182 27,892 22,422 6,515 45,008 45,008 100,863 27,318 73,545 49,000 49,000 172,833 157,249 15,584 175,138 74,545 6,675 83,716 10,202 59,688 59,688 207,808 207,808 91,795 31,299 60,496 65,685 24,388 41,297 53,717 53,717 143,110 143,110 126,312 24,762 8,103 55,925 20,537 16,985 87,000 87,000 207,002 175,606 14,674 16,722 341,944 341,944 46,225 46,225 119,369 113,346 6,023 69,294 69,294 60,613 31,788 28,825 53,790 53,790 52,481 15,270 37,211 58,382 58,382 381,804 28,907 28,371 302,688 21,838



Total persons 33,267 2,607 1,972 18,414 2,751 5,393 2,130 6,206 6,206 18,259 6,272 11,987 24,196 24,196 42,122 36,391 5,731 44,368 15,201 2,616 22,104 4,447 20,609 20,609 56,480 56,480 33,489 13,426 20,063 20,034 7,592 12,442 5,471 5,471 22,600 22,600 42,043 7,500 2,663 15,410 8,857 7,613 14,562 14,562 32,880 29,807 1,589 1,484 179,085 179,085 15,938 15,938 48,783 46,939 1,844 16,980 16,980 11,429 6,025 5,404 15,097 15,097 10,906 3,284 7,622 11,651 11,651 63,250 3,089 4,858 49,832 5,471



Number 7,021 632 409 3,291 1,883 659 147 489 489 7,066 1,449 5,617 1,138 1,138 8,890 7,197 1,693 18,874 8,529 233 9,744 368 3,781 3,781 9,991 9,991 2,095 773 1,322 2,064 835 1,229 1,831 1,831 14,024 14,024 4,592 1,091 183 1,978 588 752 6,472 6,472 9,873 8,503 503 867 15,305 15,305 1,438 1,438 7,869 7,587 282 7,792 7,792 2,107 1,417 690 2,197 2,197 1,175 419 756 5,821 5,821 16,548 1,419 1,421 12,522 1,186



Percent 4.8 4.5 3.7 4.3 9.2 3.4 2.4 1.5 1.5 9.6 7.3 10.4 2.6 2.6 6.8 6.1 13.5 13.1 13.3 3.6 15.1 4.0 7.1 7.1 5.4 5.4 2.6 2.7 2.6 3.2 3.3 3.0 4.7 4.7 13.3 13.3 4.0 5.1 2.4 4.0 2.9 4.4 8.2 8.2 6.1 6.1 4.6 6.9 5.7 5.7 3.1 3.1 7.8 8.0 4.8 15.3 15.3 3.4 4.1 2.6 4.6 4.6 2.8 3.0 2.8 11.9 11.9 5.6 5.9 6.5 5.6 5.1



Evansville, IN-KY . . . . . . . . . . . . . . Gibson County, IN. . . . . . . . . . . . Posey County, IN . . . . . . . . . . . . Vanderburgh County, IN . . . . . . . . Warrick County, IN . . . . . . . . . . . Henderson County, KY . . . . . . . . Webster County, KY . . . . . . . . . . Fairbanks, AK . . . . . . . . . . . . . . . . Fairbanks North Star Borough, AK . Fargo, ND-MN. . . . . . . . . . . . . . . . Clay County, MN . . . . . . . . . . . . Cass County, ND . . . . . . . . . . . . Farmington, NM. . . . . . . . . . . . . . . San Juan County, NM . . . . . . . . .



. . . . . . . . . . . . . .



. . . . . . . . . . . . . .



Fayetteville, NC . . . . . . . . . . . . . . . . . Cumberland County, NC . . . . . . . . . Hoke County, NC . . . . . . . . . . . . . . Fayetteville-Springdale-Rogers, AR-MO . Benton County, AR . . . . . . . . . . . . . Madison County, AR . . . . . . . . . . . . Washington County, AR . . . . . . . . . . McDonald County, MO. . . . . . . . . . . Flagstaff, AZ . . . . . . . . . . . . . . . . . . . Coconino County, AZ. . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Genesee County, MI . . . . . . . . . . . . Florence, SC. . . . . . . . . . . . . . . . . . . Darlington County, SC . . . . . . . . . . . Florence County, SC . . . . . . . . . . . . Florence-Muscle Shoals, AL. . . . . . . . . Colbert County, AL . . . . . . . . . . . . . Lauderdale County, AL. . . . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fond du Lac County, WI . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Larimer County, CO . . . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Crawford County, AR . . . . . . . . . . . . Franklin County, AR . . . . . . . . . . . . Sebastian County, AR . . . . . . . . . . . Le Flore County, OK . . . . . . . . . . . . Sequoyah County, OK . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Okaloosa County, FL . . . . . . . . . . . . Fort Wayne, IN . . . . . . . . . . . . . . . . . Allen County, IN . . . . . . . . . . . . . . . Wells County, IN. . . . . . . . . . . . . . . Whitley County, IN . . . . . . . . . . . . . Fresno, CA . . . . . . . . . . . . . . . . . . . . Fresno County, CA . . . . . . . . . . . . . Gadsden, AL. . . . . . . . . . . . . . . . . . . Etowah County, AL . . . . . . . . . . . . . Gainesville, FL . . . . . . . . . . . . . . . . . Alachua County, FL. . . . . . . . . . . . . Gilchrist County, FL. . . . . . . . . . . . . Gainesville, GA . . . . . . . . . . . . . . . . . Hall County, GA . . . . . . . . . . . . . . . Glens Falls, NY . . . . . . . . Warren County, NY . . . . Washington County, NY . Goldsboro, NC . . . . . . . . Wayne County, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . Polk County, MN. . . . . . . . . . . . . . . . . . . . . . . Grand Forks County, ND . . . . . . . . . . . . . . . . . Grand Junction, CO . . . . . . Mesa County, CO . . . . . . Grand Rapids-Wyoming, MI . Barry County, MI. . . . . . . Ionia County, MI . . . . . . . Kent County, MI . . . . . . . Newaygo County, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



214



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.5 21.5 21.6 21.6 20.1 22.5 11.4 10.6 23.4 30.3 11.1 10.8 23.9 8.2 26.4 23.1 26.2 11.7 19.1 17.9 17.3 18.4 12.4 14.5 14.6 15.1 11.2 10.4 10.4 24.3 27.9 23.5 11.3 21.4 17.6 31.2 30.5 29.6 33.8 32.8 22.6 22.8 26.8 7.7 13.6 9.3 12.8 10.4 17.0 13.2 14.5 5.8 26.0 26.0 27.9 27.9 18.0 18.0 12.3 12.4 12.3 26.4 17.3 19.6 12.1 36.9 22.7 26.9 8.1 25.3 9.6 16.8 14.9 14.1 11.5 10.3 20.9 11.9 Percent of workers who drove alone to work 74.8 74.8 72.9 72.9 79.0 80.3 73.8 73.8 75.6 75.3 77.2 74.5 73.0 69.6 73.4 75.7 76.5 72.7 74.7 72.9 71.1 73.3 72.0 76.0 76.6 75.8 71.6 62.8 62.8 75.7 78.2 73.8 73.6 70.6 75.6 62.1 76.5 75.8 79.1 77.9 74.0 72.2 78.5 70.0 77.0 78.9 76.6 75.5 77.5 66.6 66.5 67.0 81.0 81.0 56.6 56.6 74.0 74.0 72.6 72.0 73.2 70.8 74.9 76.9 78.3 76.4 71.7 69.4 71.4 74.9 68.3 62.4 75.4 76.0 76.1 77.2 72.8 77.9 Percent of persons below poverty level in 1999 13.2 13.2 12.2 12.2 6.6 6.7 5.8 7.0 10.4 10.3 9.0 12.6 19.4 18.9 19.4 11.2 10.2 13.9 12.8 14.2 14.3 14.0 16.7 9.8 8.9 11.3 10.2 16.5 16.5 7.9 6.1 9.4 7.5 14.3 8.0 24.8 7.9 9.0 4.5 5.1 18.5 20.8 13.2 21.8 9.6 8.4 10.2 10.5 9.0 14.5 13.7 19.3 5.3 5.3 9.6 9.6 14.3 14.3 17.6 16.2 18.8 13.5 11.9 9.7 10.9 7.0 13.0 14.8 13.3 9.3 18.7 14.4 17.5 14.9 13.9 18.7 18.6 19.5 Housing units



Change 2000–20043 2004 (July 1) 35,568 35,568 83,132 83,132 128,697 98,258 8,760 21,679 296,729 197,036 57,904 41,789 73,448 7,566 65,882 255,791 175,585 31,177 49,029 115,113 22,996 86,556 5,561 103,326 56,691 37,802 8,833 39,216 39,216 224,981 91,256 114,145 19,580 43,739 29,123 14,616 483,173 358,811 70,209 54,153 52,333 31,171 15,896 5,266 153,626 14,874 38,802 35,172 64,778 27,719 23,355 4,364 95,536 95,536 325,775 325,775 46,100 46,100 78,452 36,360 42,092 1,987,809 10,665 101,475 11,877 131,840 122,742 1,422,519 27,613 133,916 11,901 13,261 131,302 22,267 16,261 27,475 45,942 19,357 20002 (estimates base) 35,225 35,225 66,165 66,165 118,235 90,199 8,221 19,815 275,027 180,391 54,428 40,208 65,733 7,368 58,365 239,037 162,804 30,233 46,000 106,051 21,072 79,636 5,343 93,961 52,972 32,913 8,076 36,563 36,563 217,025 86,951 111,133 18,941 41,010 27,325 13,685 471,877 353,022 67,285 51,570 50,453 29,913 15,433 5,107 144,866 14,098 37,427 33,420 59,921 26,209 21,977 4,232 86,856 86,856 315,988 315,988 44,953 44,953 74,973 35,045 39,928 1,799,627 10,205 90,628 10,336 115,991 111,733 1,298,130 26,359 112,770 11,520 11,955 129,864 21,976 15,977 27,189 45,615 19,107



Percent foreign born 2.4 2.4 9.3 9.3 3.3 3.9 0.9 0.7 5.8 6.5 5.7 2.7 3.8 4.9 3.6 4.0 4.9 1.6 2.9 3.0 1.4 3.6 1.0 1.8 1.9 1.7 1.4 16.0 16.0 3.4 3.2 4.1 0.9 5.5 3.3 9.2 10.3 11.7 6.0 5.9 1.6 2.0 1.1 0.5 4.6 2.4 4.8 1.9 6.5 5.6 5.7 5.4 4.9 4.9 19.2 19.2 2.6 2.6 1.5 1.5 1.5 19.0 7.3 8.5 5.1 18.3 8.3 22.2 5.1 8.6 2.5 9.4 0.9 1.1 0.6 0.5 1.3 0.6



Total workers 40,135 40,135 92,841 92,841 154,827 125,437 10,984 18,406 344,254 229,864 69,346 45,044 77,947 8,528 69,419 287,919 197,900 33,689 56,330 120,065 18,904 94,847 6,314 108,707 63,714 38,040 6,953 49,044 49,044 262,657 111,105 128,945 22,607 56,692 35,873 20,819 600,167 438,197 86,327 75,643 59,258 35,018 19,240 5,000 182,914 18,707 45,094 41,256 77,857 36,025 31,136 4,889 128,356 128,356 447,320 447,320 38,577 38,577 83,659 39,587 44,072 2,284,849 11,268 112,904 12,353 174,803 122,894 1,653,892 28,548 143,259 9,032 15,896 125,050 21,365 15,517 25,978 44,851 17,339



Total persons 10,605 10,605 22,019 22,019 18,785 15,123 1,165 2,497 66,648 43,227 11,802 11,619 29,592 3,591 26,001 62,678 38,825 9,648 14,205 35,005 6,137 26,597 2,271 21,784 11,697 8,556 1,531 21,307 21,307 40,094 13,102 23,706 3,286 15,434 5,415 10,019 91,303 77,440 6,911 6,952 22,885 15,089 5,150 2,646 32,802 2,821 9,132 8,161 12,688 10,450 8,464 1,986 12,655 12,655 83,937 83,937 12,565 12,565 34,167 14,560 19,607 635,349 2,814 23,465 2,833 24,953 32,510 503,234 9,296 27,376 4,150 4,718 50,496 7,393 5,130 11,645 17,983 8,345



Number 343 343 16,967 16,967 10,462 8,059 539 1,864 21,702 16,645 3,476 1,581 7,715 198 7,517 16,754 12,781 944 3,029 9,062 1,924 6,920 218 9,365 3,719 4,889 757 2,653 2,653 7,956 4,305 3,012 639 2,729 1,798 931 11,296 5,789 2,924 2,583 1,880 1,258 463 159 8,760 776 1,375 1,752 4,857 1,510 1,378 132 8,680 8,680 9,787 9,787 1,147 1,147 3,479 1,315 2,164 188,182 460 10,847 1,541 15,849 11,009 124,389 1,254 21,146 381 1,306 1,438 291 284 286 327 250



Percent 1.0 1.0 25.6 25.6 8.8 8.9 6.6 9.4 7.9 9.2 6.4 3.9 11.7 2.7 12.9 7.0 7.9 3.1 6.6 8.5 9.1 8.7 4.1 10.0 7.0 14.9 9.4 7.3 7.3 3.7 5.0 2.7 3.4 6.7 6.6 6.8 2.4 1.6 4.3 5.0 3.7 4.2 3.0 3.1 6.0 5.5 3.7 5.2 8.1 5.8 6.3 3.1 10.0 10.0 3.1 3.1 2.6 2.6 4.6 3.8 5.4 10.5 4.5 12.0 14.9 13.7 9.9 9.6 4.8 18.8 3.3 10.9 1.1 1.3 1.8 1.1 0.7 1.3



Great Falls, MT . . . . . . . . . . . . . Cascade County, MT . . . . . . . . Greeley, CO4 . . . . . . . . . . . . . . Weld County, CO4. . . . . . . . . . Green Bay, WI . . . . . . . . . . . . . Brown County, WI . . . . . . . . . . Kewaunee County, WI . . . . . . . Oconto County, WI . . . . . . . . . Greensboro-High Point, NC . . . . . Guilford County, NC . . . . . . . . Randolph County, NC . . . . . . . Rockingham County, NC . . . . . Greenville, NC. . . . . . . . . . . . . . Greene County, NC. . . . . . . . . Pitt County, NC . . . . . . . . . . . Greenville, SC. . . . . . . . . . . . . . Greenville County, SC . . . . . . . Laurens County, SC . . . . . . . . Pickens County, SC . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . . Hancock County, MS . . . . . . . . Harrison County, MS . . . . . . . . Stone County, MS. . . . . . . . . . Hagerstown-Martinsburg, MD-WV . Washington County, MD. . . . . . Berkeley County, WV. . . . . . . . Morgan County, WV . . . . . . . . Hanford-Corcoran, CA . . . Kings County, CA . . . . . Harrisburg-Carlisle, PA . . . Cumberland County, PA . Dauphin County, PA . . . Perry County, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



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Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . Rockingham County, VA. . . . . . . . . . . . . . . . . . Harrisonburg city, VA . . . . . . . . . . . . . . . . . . . . Hartford-West Hartford-East Hartford, CT . Hartford County, CT . . . . . . . . . . . . . Middlesex County, CT . . . . . . . . . . . . Tolland County, CT . . . . . . . . . . . . . . Hattiesburg, MS. . . . . . . . . . . . . . . . . . Forrest County, MS . . . . . . . . . . . . . . Lamar County, MS . . . . . . . . . . . . . . Perry County, MS . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . . Alexander County, NC . . . . . . . . . . . . Burke County, NC . . . . . . . . . . . . . . . Caldwell County, NC . . . . . . . . . . . . . Catawba County, NC . . . . . . . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . . Liberty County, GA . . . . . . . . . . . . . . Long County, GA . . . . . . . . . . . . . . . Holland-Grand Haven, MI . . . . . . . . . . . Ottawa County, MI . . . . . . . . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . Honolulu County, HI . . . . . . . . . Hot Springs, AR. . . . . . . . . . . . . . Garland County, AR . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA Lafourche Parish, LA . . . . . . . . . Terrebonne Parish, LA . . . . . . . . Houston-Sugar Land, Baytown, TX . Austin County, TX . . . . . . . . . . . Brazoria County, TX . . . . . . . . . Chambers County, TX . . . . . . . . Fort Bend County, TX . . . . . . . . Galveston County, TX . . . . . . . . Harris County, TX . . . . . . . . . . . Liberty County, TX . . . . . . . . . . Montgomery County, TX. . . . . . . San Jacinto County, TX . . . . . . . Waller County, TX . . . . . . . . . . . Huntington-Ashland, WV-KY-OH . Boyd County, KY . . . . . . . . . Greenup County, KY . . . . . . . Lawrence County, OH . . . . . . Cabell County, WV . . . . . . . . Wayne County, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



215



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.9 16.9 34.3 24.2 26.1 15.2 26.5 27.6 18.5 48.9 22.2 23.1 23.1 25.4 12.6 13.1 12.7 42.0 47.6 16.4 47.5 47.5 16.3 16.3 26.2 11.6 27.2 37.9 23.8 10.9 20.1 11.2 21.5 22.6 8.2 20.1 21.9 18.9 33.1 14.8 14.8 16.7 16.7 21.2 16.5 27.4 13.0 10.4 18.5 12.8 10.6 22.9 13.7 13.7 17.3 20.9 6.3 16.4 16.5 16.1 26.9 31.2 14.3 15.0 15.0 28.2 16.5 47.7 23.1 12.7 19.4 12.0 10.1 Percent of workers who drove alone to work 78.1 79.0 78.0 71.9 72.6 69.0 77.7 79.9 77.3 84.0 81.5 85.1 81.5 74.6 78.9 73.1 79.0 65.0 64.2 69.5 55.4 55.4 77.3 77.3 73.9 65.8 71.2 77.4 80.0 68.2 76.4 72.4 77.1 75.1 74.3 79.1 74.0 74.7 77.3 62.3 62.3 77.1 77.1 73.9 74.5 75.9 70.6 64.4 78.0 75.7 79.0 79.1 73.4 73.4 76.1 76.8 73.6 75.3 75.6 74.5 75.8 75.8 75.9 74.4 74.4 77.9 72.3 83.5 77.5 67.0 78.7 70.1 70.0 Percent of persons below poverty level in 1999 10.6 11.8 10.3 10.1 10.0 10.4 8.3 5.1 8.8 2.9 2.9 3.5 5.5 11.1 6.5 7.0 7.4 12.9 13.9 7.4 15.4 15.4 8.5 8.5 16.4 24.3 19.2 13.6 9.1 21.1 13.4 13.3 13.4 10.5 13.3 6.7 11.7 9.0 7.9 11.3 11.3 7.1 7.1 8.0 7.7 8.0 9.0 8.2 14.3 16.4 12.8 13.4 11.9 11.9 16.3 14.9 20.8 13.2 14.1 11.4 11.4 11.5 10.9 11.0 11.0 8.4 7.5 3.4 6.0 10.9 5.4 16.3 14.2 Housing units



Change 2000–20043 2004 (July 1) 156,942 28,290 128,652 40,220 33,360 6,860 708,938 20,056 7,750 87,504 25,420 49,279 50,779 407,994 27,923 14,018 18,215 60,006 51,193 8,813 40,016 40,016 66,354 66,354 208,815 11,360 103,578 32,388 49,979 11,510 47,478 6,517 40,961 527,288 8,074 62,501 357,721 29,028 69,964 60,330 60,330 65,520 65,520 60,153 17,032 31,072 5,936 6,113 85,356 26,599 8,494 50,263 66,067 66,067 48,555 37,218 11,337 70,711 47,838 22,873 140,764 104,945 35,819 42,350 42,350 812,757 10,843 203,222 26,451 4,901 11,739 66,333 7,476 20002 (estimates base) 147,185 26,897 120,288 36,771 30,484 6,287 644,873 17,929 7,163 69,478 21,750 39,229 45,095 387,183 25,908 13,505 17,633 54,374 45,831 8,543 38,625 38,625 62,906 62,906 196,546 11,101 100,287 28,781 45,070 11,307 44,379 6,174 38,205 475,043 7,592 53,748 329,778 25,917 58,008 55,726 55,726 62,187 62,187 56,729 16,167 28,915 5,742 5,905 81,913 25,920 8,214 47,779 65,796 65,796 46,184 35,133 11,051 67,468 45,571 21,897 133,225 99,250 33,975 40,610 40,610 758,390 10,229 181,800 24,401 4,720 10,984 65,892 7,247



Percent foreign born 3.5 1.7 4.0 4.3 3.9 5.9 3.5 1.5 1.0 4.0 0.9 1.6 1.7 4.6 0.9 1.1 1.6 5.6 6.4 1.5 10.5 10.5 1.7 1.7 1.2 0.8 1.1 1.7 1.6 0.9 2.0 0.5 2.3 5.3 1.1 4.5 5.9 2.7 4.9 4.1 4.1 3.3 3.3 1.6 1.1 2.2 1.6 0.5 1.5 0.8 1.4 1.9 1.3 1.3 1.7 2.0 0.9 2.2 2.6 1.4 3.9 4.0 3.5 3.5 3.5 4.5 1.3 5.7 2.7 0.3 0.6 9.5 0.9



Total workers 175,445 31,103 144,342 49,052 40,370 8,682 809,790 23,820 7,743 98,100 29,807 55,521 62,226 457,567 34,825 17,004 23,177 78,045 66,978 11,067 51,187 51,187 75,917 75,917 239,707 12,357 119,165 37,241 59,555 11,389 54,433 7,615 46,818 574,062 9,819 71,993 401,657 28,726 61,867 85,054 85,054 80,895 80,895 72,050 20,578 37,697 6,964 6,811 89,777 27,249 8,101 54,427 67,088 67,088 53,906 42,505 11,401 78,729 52,597 26,132 167,273 129,426 37,847 51,561 51,561 952,535 12,803 253,160 32,624 4,640 14,787 74,269 7,775



Total persons 36,179 7,771 28,408 10,244 8,260 1,984 126,503 2,337 1,310 5,300 1,623 3,665 6,337 95,827 4,367 2,516 3,221 16,930 15,406 1,524 14,905 14,905 13,417 13,417 81,608 6,979 48,193 10,155 10,462 5,819 14,414 2,065 12,349 118,116 2,961 9,437 90,828 5,192 9,698 16,917 16,917 10,880 10,880 11,254 3,142 5,709 1,335 1,068 25,966 9,309 2,269 14,388 18,111 18,111 17,586 12,246 5,340 20,819 14,808 6,011 35,817 27,483 8,334 11,445 11,445 152,464 1,857 15,323 4,128 1,041 1,531 25,773 2,372



Number 9,757 1,393 8,364 3,449 2,876 573 64,065 2,127 587 18,026 3,670 10,050 5,684 20,811 2,015 513 582 5,632 5,362 270 1,391 1,391 3,448 3,448 12,269 259 3,291 3,607 4,909 203 3,099 343 2,756 52,245 482 8,753 27,943 3,111 11,956 4,604 4,604 3,333 3,333 3,424 865 2,157 194 208 3,443 679 280 2,484 271 271 2,371 2,085 286 3,243 2,267 976 7,539 5,695 1,844 1,740 1,740 54,367 614 21,422 2,050 181 755 441 229



Percent 6.6 5.2 7.0 9.4 9.4 9.1 9.9 11.9 8.2 25.9 16.9 25.6 12.6 5.4 7.8 3.8 3.3 10.4 11.7 3.2 3.6 3.6 5.5 5.5 6.2 2.3 3.3 12.5 10.9 1.8 7.0 5.6 7.2 11.0 6.3 16.3 8.5 12.0 20.6 8.3 8.3 5.4 5.4 6.0 5.4 7.5 3.4 3.5 4.2 2.6 3.4 5.2 0.4 0.4 5.1 5.9 2.6 4.8 5.0 4.5 5.7 5.7 5.4 4.3 4.3 7.2 6.0 11.8 8.4 3.8 6.9 0.7 3.2



Huntsville, AL . . . . . . . Limestone County, AL Madison County, AL . Idaho Falls, ID. . . . . . . Bonneville County, ID Jefferson County, ID . Indianapolis, IN . . . . . . Boone County, IN . . . Brown County, IN . . . Hamilton County, IN . Hancock County, IN .



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Hendricks County, IN. . . Johnson County, IN. . . . Marion County, IN . . . . . Morgan County, IN . . . . Putnam County, IN . . . . Shelby County, IN . . . . . Iowa City, IA . . . . . . . . . . Johnson County, IA . . . . Washington County, IA . Ithaca, NY . . . . . . . . . . . Tompkins County, NY . . Jackson, MI . . . . . . . . . . Jackson County, MI. . . . Jackson, MS . . . . . . . . . . Copiah County, MS . . . . Hinds County, MS . . . . . Madison County, MS . . . Rankin County, MS . . . . Simpson County, MS . . . Jackson, TN . . . . . . . . . . Chester County, TN. . . . Madison County, TN . . . Jacksonville, FL. . . . . . . . Baker County, FL . . . . . Clay County, FL . . . . . . Duval County, FL . . . . . Nassau County, FL . . . . St. Johns County, FL . . . Jacksonville, NC . . . . . . . Onslow County, NC. . . . Janesville, WI . . . . . . . . . Rock County, WI. . . . . . Jefferson City, MO . . . . . . Callaway County, MO . . Cole County, MO . . . . . Moniteau County, MO . . Osage County, MO . . . . Johnson City, TN . . . . . . . Carter County, TN. . . . . Unicoi County, TN. . . . . Washington County, TN . Johnstown, PA . . . . . . . . Cambria County, PA . . . Jonesboro, AR . . . . . . . Craighead County, AR . Poinsett County, AR . . Joplin, MO . . . . . . . . . . Jasper County, MO . . . Newton County, MO . . . . . . . .



Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . Kalamazoo County, MI. . . . . . . . . . . . . . . . . . . Van Buren County, MI . . . . . . . . . . . . . . . . . . . Kankakee-Bradley, IL . . . . Kankakee County, IL . . . Kansas City, MO-KS. . . . . Franklin County, KS . . . Johnson County, KS . . . Leavenworth County, KS Linn County, KS . . . . . . Miami County, KS . . . . . Wyandotte County, KS. . Bates County, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



216



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 Percent of workers who drove alone to work Percent of persons below poverty level in 1999 Housing units



Change 2000–20043 2004 (July 1) 20002 (estimates base)



Percent foreign born



Total workers



Total persons



Number



Percent



Kansas City, MO-KS—Con. Caldwell County, MO . . . . Cass County, MO . . . . . . Clay County, MO . . . . . . Clinton County, MO . . . . .



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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



11.7 17.7 24.9 14.5 23.4 13.8 33.3 10.8 23.3 26.3 13.6 18.0 19.8 12.4 16.2 15.5 10.0 18.1 8.3 16.1 17.0 25.0 25.0 24.6 20.8 17.9 29.0 17.0 5.8 17.1 18.1 12.4 24.6 20.5 25.4 29.2 13.0 12.9 33.2 22.0 25.5 8.5 16.4 16.9 7.9 14.9 14.9 20.5 20.5 28.4 21.2 21.7 33.0 13.9 13.9 22.3 22.3 17.3 17.3 42.7 42.7 19.1 19.1 15.4 15.4 18.6 18.9 18.0 14.4 14.4



0.4 1.6 2.9 0.5 4.3 0.7 3.7 0.4 12.8 8.5 25.2 6.8 7.3 5.3 6.0 1.0 0.7 1.3 0.3 0.9 1.4 5.9 5.9 2.2 1.9 1.5 2.5 1.8 0.3 1.6 1.8 1.0 2.3 1.1 2.5 7.1 0.8 2.2 8.2 2.2 2.5 0.9 1.4 1.4 1.6 6.9 6.9 3.2 3.2 4.6 1.2 2.2 6.3 29.0 29.0 18.7 18.7 18.0 18.0 5.2 5.2 5.4 5.4 2.4 2.4 1.9 1.9 1.8 2.6 2.6



4,188 42,590 101,627 9,530 335,322 16,644 42,576 11,632 92,458 70,583 21,875 165,863 121,181 36,234 8,448 137,841 24,007 71,474 9,827 24,849 7,684 89,555 89,555 309,756 33,076 52,693 197,352 18,752 7,883 49,985 41,471 8,514 70,075 10,519 59,556 95,947 4,829 10,499 80,619 116,220 95,292 20,928 89,799 85,415 4,384 219,246 219,246 243,203 243,203 241,342 33,996 55,940 151,406 69,019 69,019 74,974 74,974 688,917 688,917 58,044 58,044 56,461 56,461 62,467 62,467 28,619 18,752 9,867 54,529 54,529



71.2 78.9 80.9 75.5 74.6 74.4 82.6 74.0 71.1 74.2 60.8 71.2 73.3 63.7 74.2 79.8 79.4 80.9 74.5 80.3 76.8 71.2 71.2 79.2 80.2 79.3 79.1 78.9 75.0 79.6 79.0 82.3 75.5 71.9 76.2 71.1 75.0 75.4 70.3 75.3 76.4 70.4 76.1 76.2 74.2 73.7 73.7 74.5 74.5 74.7 79.2 78.1 72.4 63.4 63.4 68.7 68.7 68.4 68.4 72.2 72.2 67.1 67.1 76.3 76.3 77.3 78.1 75.6 72.8 72.8



1,048 4,664 9,898 1,728 76,808 2,816 3,477 1,557 23,797 14,517 9,280 35,531 27,607 5,481 2,443 39,856 8,338 19,453 3,882 5,468 2,715 19,338 19,338 73,225 9,255 10,084 46,572 3,858 3,456 8,786 7,944 842 12,105 1,264 10,841 22,420 505 1,348 20,567 39,477 29,216 10,261 28,802 27,582 1,220 60,953 60,953 35,553 35,553 47,332 2,963 5,948 38,421 59,339 59,339 43,054 43,054 145,855 145,855 14,486 14,486 16,276 16,276 8,728 8,728 7,600 4,468 3,132 11,115 11,115



11.7 5.7 5.4 9.1 11.7 8.5 4.7 6.7 12.4 10.2 18.8 10.7 11.6 7.3 13.8 13.4 15.6 12.7 16.6 10.7 15.6 10.9 10.9 11.9 13.0 9.5 12.2 9.9 19.4 8.7 9.3 5.1 9.5 6.4 10.1 12.6 5.4 6.7 13.8 16.5 15.3 21.1 14.9 15.0 12.2 12.6 12.6 7.6 7.6 10.6 4.6 5.7 13.8 30.7 30.7 24.6 24.6 10.6 10.6 14.5 14.5 14.2 14.2 7.3 7.3 13.1 11.9 15.2 10.7 10.7



4,607 35,736 81,063 8,550 303,527 14,171 34,138 9,851 78,789 60,108 18,681 133,110 102,700 22,529 7,881 141,627 25,486 71,668 11,671 24,135 8,667 79,846 79,846 293,060 33,468 49,705 183,033 18,289 8,565 46,086 39,044 7,042 54,077 8,452 45,625 77,243 3,876 9,104 64,263 104,169 83,052 21,117 86,351 80,779 5,572 246,661 246,661 188,486 188,486 192,283 28,309 44,667 119,307 62,825 62,825 70,400 70,400 683,244 683,244 44,032 44,032 45,976 45,976 51,629 51,629 25,785 16,538 9,247 47,198 47,198



4,493 31,677 76,230 7,877 288,231 13,707 30,902 9,371 72,047 55,963 16,084 122,159 92,782 21,776 7,601 136,277 24,416 69,052 11,355 22,985 8,469 77,656 77,656 276,142 32,451 47,059 171,439 17,277 7,916 44,452 37,604 6,848 51,647 8,168 43,479 70,836 3,818 8,675 58,343 98,367 78,122 20,245 81,331 75,995 5,336 226,376 226,376 179,990 179,990 181,844 24,630 42,118 115,096 55,206 55,206 65,210 65,210 559,784 559,784 40,251 40,251 45,416 45,416 49,320 49,320 25,314 16,203 9,111 45,960 45,960



114 4,059 4,833 673 15,296 464 3,236 480 6,742 4,145 2,597 10,951 9,918 753 280 5,350 1,070 2,616 316 1,150 198 2,190 2,190 16,918 1,017 2,646 11,594 1,012 649 1,634 1,440 194 2,430 284 2,146 6,407 58 429 5,920 5,802 4,930 872 5,020 4,784 236 20,285 20,285 8,496 8,496 10,439 3,679 2,549 4,211 7,619 7,619 5,190 5,190 123,460 123,460 3,781 3,781 560 560 2,309 2,309 471 335 136 1,238 1,238



2.5 12.8 6.3 8.5 5.3 3.4 10.5 5.1 9.4 7.4 16.1 9.0 10.7 3.5 3.7 3.9 4.4 3.8 2.8 5.0 2.3 2.8 2.8 6.1 3.1 5.6 6.8 5.9 8.2 3.7 3.8 2.8 4.7 3.5 4.9 9.0 1.5 4.9 10.1 5.9 6.3 4.3 6.2 6.3 4.4 9.0 9.0 4.7 4.7 5.7 14.9 6.1 3.7 13.8 13.8 8.0 8.0 22.1 22.1 9.4 9.4 1.2 1.2 4.7 4.7 1.9 2.1 1.5 2.7 2.7



Jackson County, MO . . . . . . . Lafayette County, MO . . . . . . Platte County, MO. . . . . . . . . Ray County, MO . . . . . . . . . . Kennewick-Richland-Pasco, WA . Benton County, WA . . . . . . . . Franklin County, WA . . . . . . . Killeen-Temple-Fort Hood, TX . . Bell County, TX . . . . . . . . . . Coryell County, TX . . . . . . . . Lampasas County, TX . . . . . . Kingsport-Bristol-Bristol, TN-VA . Hawkins County, TN . . . . . . . Sullivan County, TN. . . . . . . . Scott County, VA . . . . . . . . . Washington County, VA . . . . . Bristol city, VA . . . . . . . . . . . Kingston, NY. . . . . . . . . . . . . . Ulster County, NY . . . . . . . . . Knoxville, TN . . . . . . . . . . . . . Anderson County, TN . . . . . . Blount County, TN. . . . . . . . . Knox County, TN . . . . . . . . . Loudon County, TN . . . . . . . . Union County, TN . . . . . . . . . Kokomo, IN . . . . . . . . . . . . . . Howard County, IN . . . . . . . . Tipton County, IN . . . . . . . . . La Crosse, WI-MN . . . . . . . . . . Houston County, MN . . . . . . . La Crosse County, WI . . . . . . Lafayette, IN . . . . . . . . . . . . . . Benton County, IN. . . . . . . . . Carroll County, IN . . . . . . . . . Tippecanoe County, IN . . . . . Lafayette, LA . . . . . . . . . . . . . Lafayette Parish, LA . . . . . . . St. Martin Parish, LA . . . . . . . Lake Charles, LA . . . . . . . . . . . Calcasieu Parish, LA . . . . . . . Cameron Parish, LA . . . . . . . Lakeland, FL. . . . . . . . . . . . . . Polk County, FL . . . . . . . . . . Lancaster, PA . . . . . . . . . . . . . Lancaster County, PA . . . . . . Lansing-East Lansing, MI . . . . . Clinton County, MI . . . . . . . . Eaton County, MI . . . . . . . . . Ingham County, MI . . . . . . . .



Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . Webb County, TX . . . . . . . . . . . . . . . . . . . . . . Las Cruces, NM . . . . . . Dona Ana County, NM . Las Vegas-Paradise, NV . Clark County, NV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Lawrence, KS . . . . . . . . . . Douglas County, KS . . . . Lawton, OK . . . . . . . . . . . Comanche County, OK . . Lebanon, PA . . . . . . . . . . . Lebanon County, PA . . . . Lewiston, ID-WA . . . . . . . . Nez Perce County, ID . . . Asotin County, WA . . . . . Lewiston-Auburn, ME . . . . . Androscoggin County, ME



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



217



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.8 13.5 15.6 35.6 21.5 20.3 25.9 13.4 13.4 32.0 32.6 22.6 24.2 25.2 11.0 14.6 11.1 28.1 16.4 29.6 13.6 31.9 16.2 19.5 12.8 11.1 13.3 13.3 26.3 24.9 24.9 30.8 30.8 21.2 14.3 20.4 13.1 10.2 9.2 9.8 24.8 11.3 13.4 30.6 18.7 11.1 7.6 24.0 10.5 24.4 18.7 13.1 10.5 20.9 14.6 15.2 25.2 18.7 21.3 6.8 15.0 17.1 5.4 12.0 12.0 36.9 16.7 40.6 18.5 30.1 30.1 12.6 12.6 12.9 12.9 22.3 22.3 Percent of workers who drove alone to work 75.0 73.9 78.9 74.2 73.9 75.6 80.1 78.6 78.6 76.3 76.7 70.3 76.1 72.2 77.6 77.6 72.0 76.1 79.7 68.2 67.8 68.3 75.8 76.2 76.8 73.2 74.1 74.1 65.0 63.0 63.0 71.2 71.2 76.6 78.7 80.7 77.1 74.6 81.0 71.5 75.3 75.9 77.0 82.1 74.7 79.4 71.4 74.5 70.9 74.6 76.7 74.4 78.2 81.3 81.3 62.5 70.2 74.0 72.3 78.2 79.6 79.3 69.0 61.5 61.5 70.7 75.8 70.2 70.8 79.0 79.0 78.9 78.9 63.4 63.4 70.3 70.3 Percent of persons below poverty level in 1999 11.4 13.8 10.5 12.3 10.0 8.4 7.2 11.4 11.4 8.9 9.1 6.5 11.8 12.0 10.0 10.4 13.8 13.0 7.1 12.5 7.3 13.1 14.4 14.7 13.8 14.6 13.7 13.7 15.9 17.6 17.6 10.2 10.2 10.7 8.0 8.6 6.3 10.5 7.8 13.6 12.1 11.3 12.0 3.7 9.6 8.6 13.4 17.4 27.6 17.1 10.9 10.2 11.3 7.1 10.4 18.4 14.3 16.5 18.4 15.2 10.0 9.5 19.4 19.9 19.9 8.6 5.1 9.1 7.2 6.1 6.1 10.0 10.0 35.4 35.4 12.3 12.3 Housing units



Change 2000–20043 2004 (July 1) 189,984 8,753 15,096 124,907 16,734 14,515 9,979 44,863 44,863 118,208 111,523 6,685 278,356 38,232 7,227 23,092 4,836 167,538 37,431 36,403 4,148 32,255 83,184 47,444 20,341 15,399 40,261 40,261 4,329,148 3,319,806 3,319,806 1,009,342 1,009,342 524,401 45,067 30,618 14,565 11,779 26,338 6,789 319,112 10,753 16,900 18,590 14,596 5,735 3,559 111,395 3,218 108,177 103,367 13,421 6,107 29,019 23,225 2,752 28,843 99,229 70,017 5,456 10,345 8,997 4,414 43,897 43,897 232,911 24,253 198,191 10,467 157,453 157,453 54,698 54,698 222,809 222,809 82,297 82,297 20002 (estimates base) 175,262 8,349 13,749 116,167 14,646 12,977 9,374 44,245 44,245 110,645 104,217 6,428 261,917 34,546 6,960 20,749 4,702 161,135 33,825 32,907 3,872 29,035 81,146 46,349 19,867 14,930 38,624 38,624 4,240,390 3,270,906 3,270,906 969,484 969,484 492,296 41,176 29,087 13,699 11,191 23,160 6,381 305,835 10,293 14,934 15,691 12,857 4,555 3,437 103,797 3,202 100,595 98,057 12,958 5,828 26,841 22,088 2,702 27,640 94,063 67,194 4,872 9,272 8,434 4,291 40,387 40,387 212,662 22,685 180,398 9,579 149,961 149,961 53,062 53,062 192,658 192,658 75,737 75,737



Percent foreign born 4.4 2.0 1.0 5.9 1.8 1.9 2.7 1.0 1.0 5.2 5.4 1.7 2.3 1.7 0.6 1.4 0.8 3.0 1.3 6.3 3.4 6.7 4.6 5.4 4.4 2.0 3.7 3.7 34.8 36.2 36.2 29.9 29.9 2.6 1.7 1.2 0.9 0.5 0.6 1.4 3.4 2.0 1.2 1.6 3.9 1.2 1.1 3.4 3.9 3.3 1.9 1.2 1.4 1.8 1.1 1.6 3.2 1.6 1.9 0.5 1.0 1.0 0.8 20.1 20.1 5.5 1.3 6.3 0.6 6.8 6.8 1.8 1.8 29.5 29.5 4.9 4.9



Total workers 223,816 9,638 16,477 147,226 20,068 17,563 12,844 50,866 50,866 154,323 145,342 8,981 312,865 45,646 7,900 26,411 4,661 186,483 41,764 52,091 5,190 46,901 88,156 52,708 19,914 15,534 43,307 43,307 5,724,165 4,312,264 4,312,264 1,411,901 1,411,901 595,942 51,728 37,408 18,355 13,813 32,120 7,495 353,318 12,535 18,682 22,618 17,693 6,218 3,959 124,800 2,886 121,914 113,428 15,431 6,593 31,345 25,914 2,865 31,280 102,366 69,936 5,667 11,347 10,801 4,615 48,667 48,667 297,688 28,369 256,180 13,139 209,738 209,738 61,318 61,318 204,906 204,906 87,189 87,189



Total persons 46,438 2,670 3,476 31,963 3,904 2,764 1,661 12,374 12,374 23,787 22,722 1,065 71,904 10,333 1,654 5,490 1,408 47,129 5,890 12,849 832 12,017 28,022 16,329 6,526 5,167 12,765 12,765 1,964,074 1,674,599 1,674,599 289,475 289,475 124,257 7,683 6,096 2,159 2,845 4,806 2,041 84,143 2,965 4,497 1,717 3,198 1,015 1,092 43,496 1,954 41,542 24,900 3,238 1,547 4,263 5,329 1,160 9,363 36,771 28,370 1,904 2,375 2,069 2,053 24,514 24,514 43,111 2,656 38,815 1,640 23,358 23,358 12,941 12,941 201,865 201,865 22,269 22,269



Number 14,722 404 1,347 8,740 2,088 1,538 605 618 618 7,563 7,306 257 16,439 3,686 267 2,343 134 6,403 3,606 3,496 276 3,220 2,038 1,095 474 469 1,637 1,637 88,758 48,900 48,900 39,858 39,858 32,105 3,891 1,531 866 588 3,178 408 13,277 460 1,966 2,899 1,739 1,180 122 7,598 16 7,582 5,310 463 279 2,178 1,137 50 1,203 5,166 2,823 584 1,073 563 123 3,510 3,510 20,249 1,568 17,793 888 7,492 7,492 1,636 1,636 30,151 30,151 6,560 6,560



Percent 8.4 4.8 9.8 7.5 14.3 11.9 6.5 1.4 1.4 6.8 7.0 4.0 6.3 10.7 3.8 11.3 2.8 4.0 10.7 10.6 7.1 11.1 2.5 2.4 2.4 3.1 4.2 4.2 2.1 1.5 1.5 4.1 4.1 6.5 9.4 5.3 6.3 5.3 13.7 6.4 4.3 4.5 13.2 18.5 13.5 25.9 3.5 7.3 0.5 7.5 5.4 3.6 4.8 8.1 5.1 1.9 4.4 5.5 4.2 12.0 11.6 6.7 2.9 8.7 8.7 9.5 6.9 9.9 9.3 5.0 5.0 3.1 3.1 15.7 15.7 8.7 8.7



Lexington-Fayette, KY . . . . . . . Bourbon County, KY . . . . . . . Clark County, KY . . . . . . . . . Fayette County, KY . . . . . . . . Jessamine County, KY. . . . . . Scott County, KY . . . . . . . . . Woodford County, KY . . . . . . Lima, OH . . . . . . . . . . . . . . . . Allen County, OH . . . . . . . . . Lincoln, NE. . . . . . . . . . . . . . . Lancaster County, NE . . . . . . Seward County, NE. . . . . . . . Little Rock-North Little Rock, AR. Faulkner County, AR . . . . . . . Grant County, AR . . . . . . . . . Lonoke County, AR . . . . . . . . Perry County, AR . . . . . . . . . Pulaski County, AR . . . . . . . . Saline County, AR. . . . . . . . . Logan, UT-ID . . . . . . . . . . . . . Franklin County, ID . . . . . . . . Cache County, UT . . . . . . . . Longview, TX . . . . . . . . . . . . . Gregg County, TX . . . . . . . . . Rusk County, TX . . . . . . . . . Upshur County, TX . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . .



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. . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . .



Longview, WA . . . . . . . . . . . . . . . . . . . . Cowlitz County, WA. . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Los Angeles-Long Beach-Glendale, CA . Los Angeles County, CA . . . . . . . . . . Santa Ana-Anaheim-Irvine, CA . . . . . . . Orange County, CA . . . . . . . . . . . . . Louisville, KY-IN . . . . . . . . . . . . . . . . . . Clark County, IN . . . . . . . . . . . . . . . . . Floyd County, IN. . . . . . . . . . . . . . . . . Harrison County, IN. . . . . . . . . . . . . . . Washington County, IN . . . . . . . . . . . . Bullitt County, KY . . . . . . . . . . . . . . . . Henry County, KY . . . . . . . . . . . . . . . . Jefferson County, KY. . . . . . . . . . . . . . Meade County, KY . . . . . . . . . . . . . . . Nelson County, KY . . . . . . . . . . . . . . . Oldham County, KY. . . . . . . . . . . . . . . Shelby County, KY . . . . . . . . . . . . . . . Spencer County, KY . . . . . . . . . . . . . . Trimble County, KY . . . . . . . . . . . . . . . Lubbock, TX . . . . . . . . . . . . . . . . . . . . . Crosby County, TX . . . . . . . . . . . . . . . Lubbock County, TX . . . . . . . . . . . . . . Lynchburg, VA. . . . . . . . . . . . . . . . . . . . Amherst County, VA . . . . . . . . . . . . . . Appomattox County, VA . . . . . . . . . . . . Bedford County, VA. . . . . . . . . . . . . . . Campbell County, VA. . . . . . . . . . . . . . Bedford city, VA . . . . . . . . . . . . . . . . . Lynchburg city, VA . . . . . . . . . . . . . . . Macon, GA . . . . . . . . . . . . . . . . . . . . . . Bibb County, GA. . . . . . . . . . . . . . . . . Crawford County, GA. . . . . . . . . . . . . . Jones County, GA. . . . . . . . . . . . . . . . Monroe County, GA. . . . . . . . . . . . . . . Twiggs County, GA . . . . . . . . . . . . . . . Madera, CA . . . . . . . . . . . . . . . . . . . . . Madera County, CA. . . . . . . . . . . . . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . Columbia County, WI. . . . . . . . . . . . . . Dane County, WI . . . . . . . . . . . . . . . . Iowa County, WI . . . . . . . . . . . . . . . . . Manchester-Nashua, NH . . . . . . . . . . . . . Hillsborough County, NH . . . . . . . . . . . Mansfield, OH . . . . . . . . . . . . . . . . . . . . Richland County, OH . . . . . . . . . . . . . . McAllen-Edinburg-Mission, TX Hidalgo County, TX . . . . . . Medford, OR . . . . . . . . . . . . Jackson County, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



218



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22.0 12.8 14.3 9.0 12.3 9.1 12.8 25.3 10.8 11.0 11.0 24.1 24.5 24.5 21.7 21.7 27.7 27.7 14.0 14.0 24.8 24.8 27.0 23.6 38.6 21.9 34.1 33.3 21.3 34.3 15.3 34.9 39.1 14.5 34.3 29.4 19.4 33.9 17.9 24.6 26.3 32.8 32.8 18.6 18.6 14.1 14.1 21.2 22.7 11.8 14.3 14.3 24.2 18.0 16.6 11.0 28.5 26.0 32.4 10.8 12.2 7.8 13.3 12.8 20.8 20.8 20.4 20.4 13.9 13.9 18.7 18.7 Percent of workers who drove alone to work 74.0 72.6 80.7 68.8 68.0 65.8 74.6 73.4 77.5 61.7 61.7 70.5 74.1 74.1 65.7 65.7 74.2 74.2 78.4 78.4 77.5 77.5 74.0 68.3 81.5 81.8 83.3 74.4 78.4 78.9 77.1 79.9 70.9 75.2 70.5 80.2 78.1 80.5 76.6 70.6 77.4 67.3 67.3 74.9 74.9 66.2 66.2 73.7 74.0 71.3 83.2 83.2 76.5 77.9 79.0 66.3 76.0 69.5 69.2 70.4 77.9 76.1 79.8 76.1 70.6 70.6 73.5 73.5 77.9 77.9 73.9 73.9 Percent of persons below poverty level in 1999 15.3 24.9 7.1 20.8 13.0 32.5 14.1 15.6 11.9 21.4 21.4 13.8 11.4 11.4 17.6 17.6 9.8 9.8 8.2 8.2 12.7 12.7 10.4 14.9 2.5 3.6 2.7 6.6 4.1 3.4 5.0 3.6 8.1 5.6 10.3 3.3 4.3 2.9 4.7 7.2 3.9 14.3 14.3 18.1 18.1 15.8 15.8 19.8 20.0 18.2 7.0 7.0 15.0 10.8 9.4 31.2 16.5 20.4 21.2 18.1 14.4 18.4 14.2 12.9 10.9 10.9 14.2 14.2 11.0 11.0 11.9 11.9 Housing units



Change 2000–20043 2004 (July 1) 518,296 21,665 50,464 13,805 10,144 4,344 12,117 384,367 21,390 75,110 75,110 2,294,911 782,384 782,384 906,877 906,877 605,650 605,650 47,158 47,158 49,013 49,013 637,701 403,863 34,236 49,718 149,884 1,265,792 118,013 30,506 18,232 147,976 487,947 14,194 210,830 40,624 28,230 81,988 42,597 14,832 29,823 44,351 44,351 172,738 172,738 163,880 163,880 73,296 61,958 11,338 62,081 62,081 151,297 18,975 27,612 5,859 98,851 51,265 37,533 13,732 56,815 10,121 25,750 20,944 45,724 45,724 52,441 52,441 72,069 72,069 140,628 140,628 20002 (estimates base) 480,841 20,507 40,795 13,252 9,354 3,705 11,210 362,954 19,064 68,373 68,373 2,149,890 741,043 741,043 852,414 852,414 556,433 556,433 45,621 45,621 48,060 48,060 618,245 400,093 32,034 45,809 140,309 1,169,776 108,091 24,883 15,533 133,750 468,824 12,061 206,448 31,609 22,827 73,635 34,357 13,493 24,265 41,319 41,319 165,101 165,101 150,807 150,807 71,027 60,154 10,873 56,471 56,471 144,635 17,662 25,735 5,801 95,437 50,139 36,695 13,444 53,744 9,732 24,693 19,319 42,681 42,681 51,032 51,032 68,556 68,556 122,085 122,085



Percent foreign born 3.2 1.2 1.9 1.0 0.2 0.9 0.7 3.8 0.8 24.8 24.8 35.0 25.3 25.3 50.9 50.9 17.4 17.4 2.5 2.5 7.6 7.6 5.4 6.8 3.3 1.9 3.6 7.1 3.6 3.4 1.2 5.1 9.9 1.3 10.6 4.0 1.5 3.4 1.1 1.0 1.1 2.3 2.3 2.3 2.3 18.3 18.3 1.0 1.0 1.2 1.9 1.9 1.6 1.2 1.1 0.3 2.0 3.0 3.8 0.6 3.2 1.1 5.3 1.5 8.8 8.8 1.5 1.5 1.9 1.9 4.0 4.0



Total workers 587,466 22,102 55,827 15,168 11,914 4,004 13,526 440,141 24,784 86,678 86,678 2,324,501 803,157 803,157 1,010,965 1,010,965 510,379 510,379 53,431 53,431 54,645 54,645 782,552 469,688 45,255 66,549 201,060 1,679,836 170,915 39,072 21,840 206,500 641,557 17,120 277,129 50,862 35,429 111,853 49,527 22,165 35,867 53,808 53,808 179,280 179,280 197,448 197,448 79,910 69,940 9,970 72,941 72,941 161,764 21,167 30,056 5,061 105,480 53,488 40,551 12,937 59,927 9,397 28,662 21,868 49,692 49,692 60,139 60,139 81,221 81,221 102,356 102,356



Total persons 184,381 12,688 7,571 7,282 3,287 2,999 4,053 140,398 6,103 45,059 45,059 692,014 184,589 184,589 396,995 396,995 110,430 110,430 8,994 8,994 14,758 14,758 155,664 139,747 2,078 4,204 9,635 195,253 12,367 2,391 2,052 12,757 90,384 1,753 52,673 2,979 2,776 5,765 4,211 2,652 2,493 13,691 13,691 72,549 72,549 70,406 70,406 33,663 29,515 4,148 10,161 10,161 51,943 4,738 6,187 4,209 36,809 22,696 17,394 5,302 17,740 3,809 8,236 5,695 11,244 11,244 16,862 16,862 18,752 18,752 23,356 23,356



Number 37,455 1,158 9,669 553 790 639 907 21,413 2,326 6,737 6,737 145,021 41,341 41,341 54,463 54,463 49,217 49,217 1,537 1,537 953 953 19,456 3,770 2,202 3,909 9,575 96,016 9,922 5,623 2,699 14,226 19,123 2,133 4,382 9,015 5,403 8,353 8,240 1,339 5,558 3,032 3,032 7,637 7,637 13,073 13,073 2,269 1,804 465 5,610 5,610 6,662 1,313 1,877 58 3,414 1,126 838 288 3,071 389 1,057 1,625 3,043 3,043 1,409 1,409 3,513 3,513 18,543 18,543



Percent 7.8 5.6 23.7 4.2 8.4 17.2 8.1 5.9 12.2 9.9 9.9 6.7 5.6 5.6 6.4 6.4 8.8 8.8 3.4 3.4 2.0 2.0 3.1 0.9 6.9 8.5 6.8 8.2 9.2 22.6 17.4 10.6 4.1 17.7 2.1 28.5 23.7 11.3 24.0 9.9 22.9 7.3 7.3 4.6 4.6 8.7 8.7 3.2 3.0 4.3 9.9 9.9 4.6 7.4 7.3 1.0 3.6 2.2 2.3 2.1 5.7 4.0 4.3 8.4 7.1 7.1 2.8 2.8 5.1 5.1 15.2 15.2



Memphis, TN-MS-AR . . . Crittenden County, AR . DeSoto County, MS. . . Marshall County, MS . . Tate County, MS . . . . . Tunica County, MS . Fayette County, TN . Shelby County, TN . Tipton County, TN . . Merced, CA . . . . . . . Merced County, CA . . . . . . . . . . . . .



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Miami-Fort Lauderdale-Miami Beach, FL . Fort Lauderdale-Pompano BeachDeerfield Beach, FL. . . . . . . . . . . . . . Broward County, FL . . . . . . . . . . . . . Miami-Miami Beach-Kendall, FL . . . . . . Miami-Dade County, FL . . . . . . . . . . West Palm Beach-Boca RatonBoynton Beach, FL . . . . . . . . . . . . . . Palm Beach County, FL . . . . . . . . . . Michigan City-La Porte, IN. . . . . . . . . . . . LaPorte County, IN . . . . . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . Midland County, TX. . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . . Milwaukee County, WI . . . . . . . . . . . . . Ozaukee County, WI . . . . . . . . . . . . . . Washington County, WI . . . . . . . . . . . . Waukesha County, WI . . . . . . . . . . . . . Minneapolis-St. Paul-Bloomington, MN-WI . Anoka County, MN . . . . . . . . . . . . . . . Carver County, MN . . . . . . . . . . . . . . . Chisago County, MN . . . . . . . . . . . . . . Dakota County, MN . . . . . . . . . . . . . . . Hennepin County, MN . . . . . . . . . . . . . Isanti County, MN . . . . . . . . . . . . . . . . Ramsey County, MN . . . . . . . . . . . . . . Scott County, MN . . . . . . . . . . . . . . . . Sherburne County, MN . . . . . . . . . . . . Washington County, MN. . . . . . . . . . . . Wright County, MN . . . . . . . . . . . . . . . Pierce County, WI . . . . . . . . . . . . . . . . St. Croix County, WI . . . . . . . . . . . . . . Missoula, MT . . . . . . . . . . . . . . . . . . . . Missoula County, MT . . . . . . . . . . . . . . Mobile, AL . . . . . . . . . . . . . . . . . . . . . . Mobile County, AL. . . . . . . . . . . . . . . . Modesto, CA. . . . . . . . . . . . . . . . . . . . . Stanislaus County, CA . . . . . . . . . . . . . Monroe, LA . . . . . . . . . . . . . . . . . . . . . Ouachita Parish, LA . . . . . . . . . . . . . . Union Parish, LA . . . . . . . . . . . . . . . . Monroe, MI . . . . . . . . . . . . . . . . . . . . . . Monroe County, MI . . . . . . . . . . . . . . . Montgomery, AL . . . . . . . Autauga County, AL . . . Elmore County, AL . . . . Lowndes County, AL . . . Montgomery County, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



...... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Morgantown, WV . . . . . . . . . Monongalia County, WV. . . Preston County, WV . . . . . Morristown, TN . . . . . . . . . . Grainger County, TN . . . . . Hamblen County, TN . . . . . Jefferson County, TN . . . . . Mount Vernon-Anacortes, WA Skagit County, WA . . . . . . Muncie, IN . . . . . . . . . . . . . Delaware County, IN . . . . . Muskegon-Norton Shores, MI. Muskegon County, MI . . . .



Myrtle Beach-Conway-North Myrtle Beach, SC . . . . Horry County, SC . . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



219



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.4 26.4 27.9 27.9 25.6 8.4 15.1 30.5 11.3 6.7 5.6 11.9 22.9 9.3 18.6 8.9 44.4 19.6 27.6 27.6 22.8 21.5 25.8 10.8 8.9 17.5 12.9 28.3 30.3 32.0 33.0 34.6 19.5 46.5 31.3 35.4 27.5 32.2 27.5 41.8 44.1 27.2 28.5 19.0 29.4 38.2 25.3 21.2 14.6 21.8 49.4 33.9 24.3 23.2 37.5 40.9 19.6 19.6 26.2 26.2 13.7 13.7 22.0 22.0 12.0 12.0 24.6 28.8 23.3 19.9 24.2 20.9 28.0 14.4 11.1 19.1 15.7 25.4 Percent of workers who drove alone to work 68.1 68.1 70.1 70.1 75.4 71.4 75.1 73.1 74.2 71.5 68.1 76.2 77.5 76.6 78.3 72.2 80.2 78.6 74.3 74.3 66.5 72.7 53.2 70.5 72.4 77.9 72.5 75.7 48.0 72.5 69.1 71.0 76.8 77.7 69.7 65.5 73.6 66.4 54.4 79.1 77.0 79.6 65.5 73.1 33.6 68.6 37.3 64.5 22.4 19.4 6.8 75.1 30.8 50.0 69.4 57.8 75.6 75.6 76.5 76.5 74.4 74.4 71.6 71.6 74.0 74.0 73.7 74.5 71.7 72.9 76.3 81.4 79.0 75.6 71.8 72.3 76.7 75.2 Percent of persons below poverty level in 1999 8.0 8.0 10.1 10.1 10.0 12.5 7.3 12.5 10.0 13.4 14.9 8.9 8.7 12.1 8.0 13.1 4.7 6.6 9.2 9.2 18.0 13.5 27.0 17.5 12.9 11.3 16.5 9.6 13.4 6.1 6.4 6.2 6.8 3.7 5.5 5.1 5.9 9.2 15.1 2.5 3.8 3.9 8.3 6.9 17.5 4.9 15.3 12.1 29.7 24.8 19.4 4.3 14.4 9.9 9.3 8.6 12.4 12.4 6.1 6.1 12.7 12.7 8.4 8.4 18.4 18.4 6.9 5.0 5.2 9.2 13.1 7.7 10.1 13.6 14.3 12.3 10.4 14.9 Housing units



Change 2000–20043 2004 (July 1) 51,326 51,326 174,564 174,564 594,091 5,617 14,824 266,234 19,083 9,228 9,267 23,527 84,753 7,987 56,907 3,241 54,314 39,109 345,094 345,094 563,028 191,451 212,781 11,142 27,229 18,362 16,632 85,431 7,238,782 914,028 280,757 249,852 265,447 117,972 994,466 458,004 536,462 824,179 304,878 47,527 181,257 59,045 194,227 37,245 4,506,109 344,721 244,332 170,978 498,593 943,531 817,462 36,216 827,259 172,247 96,411 354,359 75,444 75,444 113,666 113,666 140,344 140,344 96,405 96,405 50,577 50,577 162,948 83,611 2,415 76,922 497,594 37,279 91,633 20,086 14,070 14,214 11,944 308,368 20002 (estimates base) 48,554 48,554 144,536 144,536 543,271 5,420 13,508 252,978 17,614 8,904 8,894 20,995 70,616 7,665 51,657 3,095 47,005 34,920 340,732 340,732 548,629 187,907 215,091 10,481 26,790 17,430 15,532 75,398 7,091,153 875,255 273,637 240,884 248,711 112,023 980,474 458,151 522,323 804,577 301,011 45,032 174,379 56,529 192,945 34,681 4,430,847 339,820 240,618 170,048 490,659 930,867 798,144 35,030 817,250 163,993 94,973 349,445 73,445 73,445 110,674 110,674 122,663 122,663 91,047 91,047 49,500 49,500 146,726 74,114 2,158 70,454 472,084 33,969 84,844 19,444 13,712 13,906 11,189 295,020



Percent foreign born 18.1 18.1 18.3 18.3 4.5 0.8 1.1 6.9 0.7 0.8 1.8 2.5 3.6 0.9 2.4 1.7 3.9 1.4 9.0 9.0 4.9 7.5 4.2 2.8 3.0 2.5 2.3 2.4 26.4 15.3 24.2 10.4 6.5 18.1 14.4 17.9 11.2 18.6 21.2 6.3 15.4 5.7 25.1 5.0 33.0 25.1 38.5 26.6 29.0 37.8 29.4 8.8 46.1 16.4 19.1 22.2 4.9 4.9 5.4 5.4 5.2 5.2 3.2 3.2 10.6 10.6 4.8 3.6 2.7 6.4 5.6 3.2 4.4 1.1 0.8 1.5 2.6 7.2



Total workers 61,208 61,208 109,476 109,476 700,392 6,217 18,933 307,653 21,657 9,529 10,014 28,585 101,245 8,625 68,565 3,423 67,362 48,584 421,514 421,514 616,770 226,332 213,819 10,973 31,267 22,818 19,218 92,343 8,754,250 1,087,185 391,203 311,406 225,604 158,972 1,367,434 655,809 711,625 1,045,063 370,939 65,107 252,892 76,705 258,641 20,779 5,254,568 453,774 297,702 232,485 500,716 1,039,512 841,633 50,709 1,037,238 207,766 140,516 452,517 81,078 81,078 137,406 137,406 104,422 104,422 49,201 49,201 54,197 54,197 221,334 119,468 3,307 98,559 551,170 45,422 111,190 21,681 14,706 16,979 13,525 327,667



Total persons 9,913 9,913 25,449 25,449 131,548 1,609 2,635 70,960 4,334 2,986 3,038 4,840 15,808 2,141 10,463 954 5,933 5,847 75,733 75,733 236,747 61,608 130,896 4,682 8,687 5,424 7,114 18,336 2,451,775 132,453 48,205 38,242 34,945 11,061 151,802 68,631 83,171 193,095 120,006 3,027 17,872 5,693 43,319 3,178 1,974,425 43,417 93,149 59,072 395,263 610,476 298,231 4,110 321,102 43,866 26,772 78,967 20,202 20,202 15,780 15,780 32,918 32,918 8,549 8,549 22,310 22,310 30,375 11,984 369 18,022 143,729 6,751 20,977 6,209 4,591 4,170 2,886 98,145



Number 2,772 2,772 30,028 30,028 50,820 197 1,316 13,256 1,469 324 373 2,532 14,137 322 5,250 146 7,309 4,189 4,362 4,362 14,399 3,544 –2,310 661 439 932 1,100 10,033 147,629 38,773 7,120 8,968 16,736 5,949 13,992 –147 14,139 19,602 3,867 2,495 6,878 2,516 1,282 2,564 75,262 4,901 3,714 930 7,934 12,664 19,318 1,186 10,009 8,254 1,438 4,914 1,999 1,999 2,992 2,992 17,681 17,681 5,358 5,358 1,077 1,077 16,222 9,497 257 6,468 25,510 3,310 6,789 642 358 308 755 13,348



Percent 5.7 5.7 20.8 20.8 9.4 3.6 9.7 5.2 8.3 3.6 4.2 12.1 20.0 4.2 10.2 4.7 15.5 12.0 1.3 1.3 2.6 1.9 –1.1 6.3 1.6 5.3 7.1 13.3 2.1 4.4 2.6 3.7 6.7 5.3 1.4 0.0 2.7 2.4 1.3 5.5 3.9 4.5 0.7 7.4 1.7 1.4 1.5 0.5 1.6 1.4 2.4 3.4 1.2 5.0 1.5 1.4 2.7 2.7 2.7 2.7 14.4 14.4 5.9 5.9 2.2 2.2 11.1 12.8 11.9 9.2 5.4 9.7 8.0 3.3 2.6 2.2 6.7 4.5



Napa, CA . . . . . . . . . . . . . . . . . . . . Napa County, CA . . . . . . . . . . . . . Naples-Marco Island, FL . . . . . . . . . . Collier County, FL . . . . . . . . . . . . . Nashville-Davidson—Murfreesboro, TN Cannon County, TN. . . . . . . . . . . . Cheatham County, TN . . . . . . . . . . Davidson County, TN. . . . . . . . . . . Dickson County, TN . . . . . . . . . . . Hickman County, TN . . . . . . . . . . . Macon County, TN . . . . . . . . . . . . Robertson County, TN . . . . . . . . . . Rutherford County, TN . . . . . . . . . . Smith County, TN . . . . . . . . . . . . .



. . . . . . . . . . . . . .



Sumner County, TN. . . . . . . . . . . . . . . . . . Trousdale County, TN . . . . . . . . . . . . . . . . Williamson County, TN. . . . . . . . . . . . . . . . Wilson County, TN . . . . . . . . . . . . . . . . . . New Haven-Milford, CT. . . . . . . . . . . . . . . . . New Haven County, CT . . . . . . . . . . . . . . . New Orleans-Metairie-Kenner, LA . . . . . . . . . . Jefferson Parish, LA . . . . . . . . . . . . . . . . . Orleans Parish, LA . . . . . . . . . . . . . . . . . . Plaquemines Parish, LA . . . . . . . . . . . . . . . St. Bernard Parish, LA . . . . . . . . . . . . . . . . St. Charles Parish, LA . . . . . . . . . . . . . . . . St. John the Baptist Parish, LA . . . . . . . . . . St. Tammany Parish, LA. . . . . . . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA. . . . . . . . . . . . . . . . . . . . . . . . . Edison, NJ. . . . . . . . . . . . . . . . . . . . . . . . Middlesex County, NJ . . . . . . . . . . . . . . . Monmouth County, NJ . . . . . . . . . . . . . . Ocean County, NJ . . . . . . . . . . . . . . . . . Somerset County, NJ . . . . . . . . . . . . . . . Nassau-Suffolk, NY . . . . . . . . . . . . . . . . . . Nassau County, NY . . . . . . . . . . . . . . . . Suffolk County, NY. . . . . . . . . . . . . . . . . Newark-Union, NJ-PA . . . . . . . . . . . . . . . . Essex County, NJ . . . . . . . . . . . . . . . . . Hunterdon County, NJ . . . . . . . . . . . . . . Morris County, NJ . . . . . . . . . . . . . . . . . Sussex County, NJ. . . . . . . . . . . . . . . . . Union County, NJ. . . . . . . . . . . . . . . . . . Pike County, PA . . . . . . . . . . . . . . . . . . New York-White Plains-Wayne, NY-NJ . . . . . Bergen County, NJ. . . . . . . . . . . . . . . . . Hudson County, NJ . . . . . . . . . . . . . . . . Passaic County, NJ . . . . . . . . . . . . . . . . Bronx County, NY . . . . . . . . . . . . . . . . . Kings County, NY . . . . . . . . . . . . . . . . . New York County, NY . . . . . . . . . . . . . . . Putnam County, NY . . . . . . . . . . . . . . . . Queens County, NY . . . . . . . . . . . . . . . . Richmond County, NY . . . . . . . . . . . . . . Rockland County, NY . . . . . . . . . . . . . . . Westchester County, NY . . . . . . . . . . . . . Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . Berrien County, MI . . . . . . . . . . . . . . . . . . Norwich-New London, CT . New London County, CT Ocala, FL . . . . . . . . . . . . Marion County, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . Cape May County, NJ . . . . . . . . . . . . . . . . . . . Odessa, TX . . . . . . . Ector County, TX . . Ogden-Clearfield, UT . Davis County, UT . . Morgan County, UT . Weber County, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Oklahoma City, OK . . . . Canadian County, OK . Cleveland County, OK . Grady County, OK. . . . Lincoln County, OK . . . Logan County, OK . . . McClain County, OK . . Oklahoma County, OK .



See footnotes at end of table.



220



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U.S. Census Bureau



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.8 29.8 27.1 12.7 16.3 15.0 18.7 30.6 30.2 16.9 22.7 24.8 16.6 26.1 15.7 31.0 22.8 22.8 15.6 17.0 8.1 8.7 26.9 26.9 23.6 23.6 17.7 17.7 14.7 15.0 9.7 9.9 15.2 15.5 9.1 16.5 21.5 21.0 22.9 20.8 14.5 23.3 13.4 18.1 21.1 27.7 25.2 28.4 24.0 22.0 28.8 31.2 42.5 30.0 38.7 17.9 26.3 29.5 16.4 15.2 25.1 25.9 11.9 14.1 10.0 15.7 7.6 23.4 28.3 10.4 15.8 23.5 11.5 18.8 20.2 26.0 26.0 Percent of workers who drove alone to work 71.6 71.6 78.5 71.1 74.3 77.0 78.3 78.0 82.9 77.2 79.7 75.3 76.1 74.4 72.4 78.5 79.8 79.8 78.7 78.8 80.9 76.3 70.5 70.5 77.6 77.6 75.8 75.8 77.0 76.8 78.2 71.1 77.4 73.7 61.6 75.3 72.6 70.7 77.4 78.3 75.8 76.7 71.6 80.5 79.6 67.3 73.3 78.0 68.0 75.5 64.1 78.7 76.7 70.3 75.8 42.7 74.4 73.5 78.0 76.5 69.7 69.8 66.3 72.2 71.7 72.6 69.6 71.8 66.5 75.5 77.8 79.7 74.8 76.9 79.0 73.7 73.7 Percent of persons below poverty level in 1999 8.7 8.7 8.2 7.0 7.9 8.2 5.1 9.6 4.2 6.5 5.8 10.5 9.5 11.9 11.3 7.3 6.3 6.3 12.5 12.0 13.4 15.7 9.1 9.1 9.3 9.3 12.7 12.7 12.8 11.1 13.2 19.4 13.6 13.0 16.4 12.6 12.9 14.3 9.6 9.5 5.4 13.2 8.4 6.1 4.2 10.5 7.3 4.6 10.2 6.0 11.9 4.4 5.1 7.7 4.3 22.2 8.1 8.1 7.1 9.3 11.8 11.6 15.5 18.3 15.1 19.2 15.1 10.6 10.9 11.5 9.2 8.8 17.8 9.6 8.5 9.0 9.0 Housing units



Change 2000–20043 2004 (July 1) 93,039 93,039 334,009 6,858 5,900 37,913 10,802 203,611 52,370 8,740 7,815 786,786 121,564 409,685 93,352 162,185 69,258 69,258 49,868 41,662 3,672 4,534 264,339 264,339 243,652 243,652 86,013 86,013 75,168 28,081 3,242 3,361 40,484 63,278 7,730 55,548 186,802 132,017 54,785 158,426 6,087 80,526 2,803 54,754 14,256 2,342,807 473,962 169,905 202,772 101,285 1,596,115 235,423 175,474 219,732 306,687 658,799 272,730 207,669 38,271 26,790 1,527,894 1,429,101 98,793 44,197 3,941 35,176 5,080 1,096,567 589,348 32,805 78,825 74,032 67,145 90,252 164,160 67,146 67,146 20002 (estimates base) 86,652 86,652 311,587 6,602 5,671 35,808 10,179 192,672 44,981 8,266 7,408 683,551 102,829 361,349 72,293 147,080 64,721 64,721 46,424 38,432 3,600 4,392 251,711 251,711 222,072 222,072 78,435 78,435 74,025 27,760 3,214 3,266 39,785 59,191 7,513 51,678 173,766 124,647 49,119 153,285 5,896 78,204 2,725 52,973 13,487 2,281,823 456,043 161,310 199,679 95,054 1,565,640 225,497 163,773 216,978 297,434 661,958 260,140 199,521 34,461 26,158 1,331,385 1,250,231 81,154 43,139 3,834 34,350 4,955 1,078,481 583,646 32,387 77,765 69,868 66,490 87,267 161,058 66,301 66,301



Percent foreign born 6.1 6.1 4.5 0.8 1.0 2.0 1.2 5.9 3.7 1.2 1.6 12.0 5.1 14.4 14.0 9.1 2.8 2.8 1.0 1.0 0.8 0.7 20.7 20.7 6.5 6.5 3.6 3.6 0.8 0.6 0.5 0.3 1.1 2.5 1.3 2.7 3.5 3.7 3.0 2.1 1.0 3.2 0.4 1.1 1.0 6.9 5.9 6.3 6.9 3.4 7.4 5.9 5.5 6.7 7.0 9.0 5.5 6.6 1.8 2.5 14.1 14.4 9.0 1.1 1.4 1.1 0.7 2.6 3.8 0.7 1.7 1.4 0.6 1.2 1.4 3.7 3.7



Total workers 108,808 108,808 415,588 7,839 7,780 46,671 13,086 250,082 69,079 10,554 10,497 840,887 86,307 471,974 84,142 198,464 85,874 85,874 54,287 45,681 4,007 4,599 372,020 372,020 220,413 220,413 72,124 72,124 77,570 30,918 3,194 2,412 41,046 71,293 8,116 63,177 195,138 139,584 55,554 184,290 6,837 90,729 2,865 65,680 18,179 2,825,656 603,361 219,871 250,704 132,786 1,882,518 320,110 229,631 272,268 403,574 656,935 339,777 263,440 44,866 31,471 1,571,024 1,504,252 66,772 45,176 3,867 36,322 4,987 1,174,504 630,964 32,338 87,264 86,400 64,371 96,043 177,124 68,806 68,806



Total persons 17,992 17,992 62,703 1,093 1,151 7,200 1,239 44,553 5,092 1,291 1,084 172,476 19,907 106,233 19,532 26,804 9,940 9,940 13,713 11,024 1,127 1,562 68,540 68,540 44,218 44,218 18,882 18,882 21,111 7,002 992 1,138 11,979 19,644 3,140 16,504 53,260 41,978 11,282 34,760 715 24,228 534 7,806 1,477 598,949 86,796 19,280 52,121 15,395 459,397 26,562 22,032 42,411 32,215 336,177 52,756 40,710 6,066 5,980 383,484 355,668 27,816 19,689 1,297 16,203 2,189 256,990 139,505 8,350 16,635 15,269 26,434 19,513 31,284 12,204 12,204



Number 6,387 6,387 22,422 256 229 2,105 623 10,939 7,389 474 407 103,235 18,735 48,336 21,059 15,105 4,537 4,537 3,444 3,230 72 142 12,628 12,628 21,580 21,580 7,578 7,578 1,143 321 28 95 699 4,087 217 3,870 13,036 7,370 5,666 5,141 191 2,322 78 1,781 769 60,984 17,919 8,595 3,093 6,231 30,475 9,926 11,701 2,754 9,253 –3,159 12,590 8,148 3,810 632 196,509 178,870 17,639 1,058 107 826 125 18,086 5,702 418 1,060 4,164 655 2,985 3,102 845 845



Percent 7.4 7.4 7.2 3.9 4.0 5.9 6.1 5.7 16.4 5.7 5.5 15.1 18.2 13.4 29.1 10.3 7.0 7.0 7.4 8.4 2.0 3.2 5.0 5.0 9.7 9.7 9.7 9.7 1.5 1.2 0.9 2.9 1.8 6.9 2.9 7.5 7.5 5.9 11.5 3.4 3.2 3.0 2.9 3.4 5.7 2.7 3.9 5.3 1.5 6.6 1.9 4.4 7.1 1.3 3.1 –0.5 4.8 4.1 11.1 2.4 14.8 14.3 21.7 2.5 2.8 2.4 2.5 1.7 1.0 1.3 1.4 6.0 1.0 3.4 1.9 1.3 1.3



Olympia, WA. . . . . . . . . . . . Thurston County, WA. . . . . Omaha-Council Bluffs, NE-IA . Harrison County, IA . . . . . . Mills County, IA . . . . . . . . Pottawattamie County, IA . . Cass County, NE . . . . . . . Douglas County, NE . . . . . Sarpy County, NE . . . . . . . Saunders County, NE . . . . Washington County, NE . . .



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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Orlando - Kissimee, FL . . . . . . . . . . Lake County, FL . . . . . . . . . . . . . Orange County, FL . . . . . . . . . . . Osceola County, FL. . . . . . . . . . . Seminole County, FL . . . . . . . . . . Oshkosh-Neenah, WI . . . . . . . . . . . Winnebago County, WI . . . . . . . . Owensboro, KY . . . . . . . . . . . . . . . Daviess County, KY . . . . . . . . . . Hancock County, KY . . . . . . . . . . McLean County, KY . . . . . . . . . . Oxnard-Thousand Oaks-Ventura, CA. Ventura County, CA. . . . . . . . . . . Palm Bay-Melbourne-Titusville, FL . . Brevard County, FL . . . . . . . . . . . Panama City-Lynn Haven, FL . . . . . Bay County, FL . . . . . . . . . . . . . Parkersburg-Marietta-Vienna, WV-OH Washington County, OH . . . . . . . . Pleasants County, WV . . . . . . . . . Wirt County, WV . . . . . . . . . . . . . Wood County, WV . . . . . . . . . . . Pascagoula, MS . . . . . . . . . . . . . . George County, MS. . . . . . . . . . . Jackson County, MS . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Escambia County, FL . . . . . . . . . Santa Rosa County, FL . . . . . . . . Peoria, IL . . . . . . . . . . . . . . . . . . . Marshall County, IL . . . . . . . . . . . Peoria County, IL . . . . . . . . . . . . Stark County, IL . . . . . . . . . . . . . Tazewell County, IL . . . . . . . . . . . Woodford County, IL . . . . . . . . . . Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . . . . . . . . . Camden, NJ . . . . . . . . . . . . . . . Burlington County, NJ . . . . . . . . Camden County, NJ . . . . . . . . . Gloucester County, NJ . . . . . . . Philadelphia, PA . . . . . . . . . . . . . Bucks County, PA . . . . . . . . . . Chester County, PA . . . . . . . . . Delaware County, PA . . . . . . . . Montgomery County, PA . . . . . . Philadelphia County, PA . . . . . . Wilmington, DE-MD-NJ . . . New Castle County, DE . Cecil County, MD. . . . . . Salem County, NJ . . . . . Phoenix-Mesa-Scottsdale, AZ Maricopa County, AZ . . . . . Pinal County, AZ. . . . . . . . Pine Bluff, AR . . . . . . . . . . . Cleveland County, AR . . . . Jefferson County, AR. . . . . Lincoln County, AR . . . . . . Pittsburgh, PA . . . . . . . . . . . Allegheny County, PA . . . . Armstrong County, PA . . . . Beaver County, PA . . . . . . Butler County, PA . . . . . . . Fayette County, PA . . . . . . Washington County, PA . . . Westmoreland County, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . Berkshire County, MA . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



221



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24.0 24.9 14.3 29.2 34.2 25.0 22.9 28.8 28.4 14.0 30.7 34.5 20.6 22.1 16.8 19.7 26.3 15.1 24.9 27.6 22.5 21.1 21.1 23.7 19.9 34.3 24.8 38.3 21.3 35.5 31.0 12.2 31.5 18.3 18.3 17.6 17.6 20.3 20.3 37.6 13.2 15.9 43.9 23.3 16.8 25.0 18.5 18.5 16.6 16.6 23.7 18.0 23.7 27.6 9.8 12.1 10.5 32.6 11.8 11.0 29.4 28.7 34.9 10.3 14.8 14.0 16.3 19.1 19.4 10.0 19.0 10.2 14.8 29.5 Percent of workers who drove alone to work 71.6 71.9 67.8 75.4 74.6 73.6 77.0 67.8 73.1 72.4 60.2 70.6 69.3 73.4 66.2 74.4 74.6 74.2 71.6 72.6 70.8 70.2 70.2 74.2 75.5 76.2 80.7 74.8 70.4 76.9 67.8 64.2 67.9 73.0 73.0 77.2 77.2 77.2 77.2 76.3 73.1 75.3 76.7 77.5 74.9 78.2 75.6 75.6 71.2 71.2 70.4 72.2 70.3 76.9 74.8 72.8 75.0 81.9 72.9 80.4 79.7 82.8 81.1 71.2 78.7 72.2 79.7 82.0 71.7 74.8 84.2 75.2 65.3 63.4 Percent of persons below poverty level in 1999 13.7 13.5 15.9 7.9 7.7 8.6 8.0 9.3 6.5 9.0 12.4 7.3 8.6 9.0 13.0 11.4 8.6 13.2 8.8 7.1 10.2 11.7 11.7 10.9 9.8 5.9 6.5 6.9 14.8 7.0 11.7 10.3 11.7 14.5 14.5 8.1 8.1 8.2 8.2 8.6 12.3 12.6 7.6 10.8 9.1 11.3 9.2 9.2 15.0 15.0 9.8 5.7 9.8 9.1 8.3 9.1 10.6 4.5 15.1 8.9 6.3 3.6 6.1 10.8 5.4 10.1 4.8 5.1 6.8 12.8 5.4 14.6 19.1 20.3 Housing units



Change 2000–20043 2004 (July 1) 33,105 30,169 2,936 245,624 128,734 17,149 99,741 844,347 144,766 18,813 299,975 193,836 33,221 148,993 4,743 179,702 71,572 108,130 239,906 109,896 130,010 93,254 93,254 667,992 221,687 20,120 71,511 40,373 254,832 59,469 125,226 3,132 122,094 63,972 63,972 87,954 87,954 78,028 78,028 383,121 22,335 57,313 303,473 50,524 10,835 39,689 157,157 157,157 73,250 73,250 164,650 1,707 162,943 485,593 4,962 9,815 3,055 108,794 4,307 10,444 7,591 35,944 121,038 3,156 5,656 13,426 6,029 8,725 11,590 4,709 7,588 9,909 15,879 92,976 20002 (estimates base) 31,946 29,102 2,844 233,323 122,600 16,489 94,234 790,876 136,954 17,572 288,561 178,913 30,270 134,030 4,576 156,733 65,471 91,262 228,857 106,103 122,754 81,730 81,730 656,755 216,918 19,881 70,365 39,561 253,214 56,816 107,126 2,810 104,316 58,926 58,926 79,758 79,758 74,718 74,718 329,493 20,364 50,175 258,954 47,398 10,149 37,249 150,222 150,222 68,810 68,810 145,504 1,596 143,908 452,684 4,609 8,889 2,895 97,707 4,085 9,707 6,555 32,196 112,570 3,010 5,189 11,855 5,203 7,509 10,726 4,653 7,340 9,749 15,955 92,282



Percent foreign born 2.9 2.2 10.5 3.3 3.8 2.4 2.8 10.8 7.1 1.8 12.7 14.2 7.6 8.5 3.5 9.5 8.1 10.5 8.4 8.4 8.4 5.9 5.9 11.5 11.7 10.0 4.9 4.9 15.6 4.2 6.2 1.4 6.3 3.0 3.0 8.0 8.0 4.1 4.1 8.7 3.6 5.9 9.7 2.0 1.4 2.1 4.3 4.3 4.0 4.0 14.0 2.2 14.1 4.2 0.7 1.7 1.3 5.2 1.3 1.4 2.0 1.8 6.7 0.9 1.2 1.3 0.9 1.5 4.5 1.0 4.9 1.9 2.3 3.9



Total workers 41,857 38,369 3,488 263,255 145,269 18,952 99,034 1,031,059 178,724 21,419 365,188 244,449 41,891 174,500 4,888 135,540 53,332 82,208 303,673 138,815 164,858 71,822 71,822 809,475 275,122 26,200 89,909 46,750 303,889 67,605 178,172 3,547 174,625 63,895 63,895 52,542 52,542 96,933 96,933 444,143 23,863 62,248 358,032 60,889 13,150 47,739 190,703 190,703 72,193 72,193 182,843 1,880 180,963 570,130 5,731 11,025 3,575 140,775 4,189 11,977 8,650 46,256 143,197 3,149 6,925 12,643 7,282 10,839 16,951 4,505 8,496 10,142 14,814 99,009



Total persons 11,381 10,181 1,200 38,369 20,352 3,014 15,003 179,809 21,969 3,910 81,711 32,575 7,336 31,027 1,281 36,308 10,844 25,464 54,530 19,858 34,672 19,552 19,552 172,784 52,236 3,009 10,862 5,906 92,164 8,607 44,117 847 43,270 20,449 20,449 11,419 11,419 15,491 15,491 68,874 5,790 15,399 47,685 12,162 2,195 9,967 34,201 34,201 24,556 24,556 33,513 195 33,318 99,314 948 2,008 735 11,586 1,360 2,185 1,068 3,065 15,917 713 713 2,586 644 1,133 2,234 1,597 913 3,263 6,461 40,185



Number 1,159 1,067 92 12,301 6,134 660 5,507 53,471 7,812 1,241 11,414 14,923 2,951 14,963 167 22,969 6,101 16,868 11,049 3,793 7,256 11,524 11,524 11,237 4,769 239 1,146 812 1,618 2,653 18,100 322 17,778 5,046 5,046 8,196 8,196 3,310 3,310 53,628 1,971 7,138 44,519 3,126 686 2,440 6,935 6,935 4,440 4,440 19,146 111 19,035 32,909 353 926 160 11,087 222 737 1,036 3,748 8,468 146 467 1,571 826 1,216 864 56 248 160 –76 694



Percent 3.6 3.7 3.2 5.3 5.0 4.0 5.8 6.8 5.7 7.1 4.0 8.3 9.7 11.2 3.6 14.7 9.3 18.5 4.8 3.6 5.9 14.1 14.1 1.7 2.2 1.2 1.6 2.1 0.6 4.7 16.9 11.5 17.0 8.6 8.6 10.3 10.3 4.4 4.4 16.3 9.7 14.2 17.2 6.6 6.8 6.6 4.6 4.6 6.5 6.5 13.2 7.0 13.2 7.3 7.7 10.4 5.5 11.3 5.4 7.6 15.8 11.6 7.5 4.9 9.0 13.3 15.9 16.2 8.1 1.2 3.4 1.6 –0.5 0.8



Pocatello, ID . . . . . . . . . . . . . . . . . . Bannock County, ID . . . . . . . . . . . Power County, ID . . . . . . . . . . . . . Portland-South Portland-Biddeford, ME Cumberland County, ME . . . . . . . . Sagadahoc County, ME . . . . . . . . . York County, ME. . . . . . . . . . . . . .



. . . . . . .



Portland-Vancouver-Beaverton, OR-WA . Clackamas County, OR . . . . . . . . . . Columbia County, OR . . . . . . . . . . . Multnomah County, OR . . . . . . . . . .



Washington County, OR . . . . . . . . . . . . Yamhill County, OR . . . . . . . . . . . . . . . Clark County, WA . . . . . . . . . . . . . . . . Skamania County, WA . . . . . . . . . . . . . Port St. Lucie-Fort Pierce, FL. . . . . . . . . . Martin County, FL . . . . . . . . . . . . . . . . St. Lucie County, FL . . . . . . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Dutchess County, NY . . . . . . . . . . . . . Orange County, NY . . . . . . . . . . . . . . . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Yavapai County, AZ. . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA. Bristol County, MA . . . . . . . . . . . . . . . Bristol County, RI . . . . . . . . . . . . . . . . Kent County, RI . . . . . . . . . . . . . . . . . Newport County, RI . . . . . . . . . . . . . . . Providence County, RI . . . . . . . . . . . . . Washington County, RI . . . . . . . . . . . . Provo-Orem, UT . . . . . . . . . . . . . . . . . . Juab County, UT. . . . . . . . . . . . . . . . . Utah County, UT. . . . . . . . . . . . . . . . . Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . Pueblo County, CO . . . . . . . . . . . . . . . Punta Gorda, FL . . . . . . . . . . . . . . . . . . Charlotte County, FL . . . . . . . . . . . . . . Racine, WI . . . . . . . . . . . . . . . . . . . . . . Racine County, WI . . . . . . . . . . . . . . . Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . Franklin County, NC . . . . . . . . . . . . . . Johnston County, NC. . . . . . . . . . . . . . Wake County, NC . . . . . . . . . . . . . . . . Rapid City, SD . . . . . . . . . . . . . . . . . . . Meade County, SD . . . . . . . . . . . . . . . Pennington County, SD . . . . . . . . . . . . Reading, PA . . . . . . . . . . . . . . . . . . . . . Berks County, PA . . . . . . . . . . . . . . . . Redding, CA . . . . . . . . . . . . . . . . . . . . . Shasta County, CA . . . . . . . . . . . . . . . Reno-Sparks, NV. . . . . . . . . . . . . . . . . . Storey County, NV . . . . . . . . . . . . . . . Washoe County, NV . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . . . . . . . . . Amelia County, VA . . . . . . . . . . . . . . . Caroline County, VA . . . . . . . . . . . . . . Charles City County, VA. . . . . . . . . . . . Chesterfield County, VA . . . . . . . . . . . . Cumberland County, VA . . . . . . . . . . . . Dinwiddie County, VA . . . . . . . . . . . . . Goochland County, VA. . . . . . . . . . . . . Hanover County, VA . . . . . . . . . . . . . . Henrico County, VA . . . . . . . . . . . . . . . King and Queen County, VA . King William County, VA. . . . Louisa County, VA . . . . . . . New Kent County, VA . . . . . Powhatan County, VA . . . . . Prince George County, VA . . Sussex County, VA . . . . . . . Colonial Heights city, VA . . . Hopewell city, VA . . . . . . . . Petersburg city, VA . . . . . . . Richmond city, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



222



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U.S. Census Bureau



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.3 16.6 15.9 21.0 19.6 10.8 14.8 28.2 18.7 19.8 30.5 17.1 34.7 16.9 27.7 19.2 31.2 24.7 13.0 17.0 18.8 14.5 19.4 13.9 8.5 17.2 15.8 15.8 26.5 26.5 30.3 24.8 34.1 15.9 15.9 21.0 17.2 22.0 21.0 21.0 16.4 14.8 18.8 16.9 10.7 24.8 15.0 9.4 13.0 12.6 11.8 19.2 20.4 19.3 12.8 12.1 9.7 26.3 35.4 11.1 7.5 19.1 20.8 19.8 25.3 22.5 22.5 19.5 11.6 21.9 27.6 27.4 45.5 15.9 Percent of workers who drove alone to work 66.1 66.3 65.9 78.9 83.3 75.6 75.5 84.5 73.7 79.5 72.8 73.8 73.2 69.9 75.5 71.1 75.6 76.7 72.7 77.0 77.2 75.8 77.3 73.3 68.3 76.3 72.9 72.9 69.1 70.0 75.3 68.8 61.1 77.6 77.6 74.1 77.4 73.2 70.4 70.4 76.3 73.0 77.6 76.8 72.3 76.7 71.3 68.3 76.5 76.1 76.1 78.1 83.3 75.1 77.6 78.9 77.0 82.8 79.8 76.1 67.9 59.8 66.6 66.1 68.8 61.2 61.2 71.9 66.4 73.2 71.4 71.7 71.1 62.8 Percent of persons below poverty level in 1999 14.7 13.9 15.4 9.2 5.1 10.2 9.5 4.4 15.6 6.2 6.2 5.8 6.3 5.9 10.1 9.4 10.8 7.1 9.9 8.5 9.1 6.9 9.4 15.5 19.2 13.1 13.8 13.8 12.5 7.1 5.7 13.9 17.7 13.6 13.6 8.0 7.0 8.3 11.1 11.1 10.8 11.3 8.1 11.6 8.2 9.8 8.0 8.9 6.0 6.8 9.2 9.6 3.3 14.2 6.9 6.7 8.1 3.9 6.7 8.5 19.6 23.9 12.7 13.0 11.1 12.9 12.9 13.2 16.1 12.4 7.7 7.9 5.4 6.4 Housing units



Change 2000–20043 2004 (July 1) 1,306,004 670,202 635,802 135,697 13,405 2,712 24,668 38,200 46,108 10,604 73,343 7,444 56,123 9,776 436,636 24,709 310,613 44,277 17,463 39,574 137,211 17,207 120,004 64,515 24,947 39,568 38,552 38,552 794,166 78,351 132,672 516,104 67,039 87,972 87,972 70,359 15,324 55,035 44,909 44,909 51,800 3,540 6,925 37,292 4,043 1,183,069 6,973 2,770 14,441 9,327 21,823 113,914 11,927 109,668 40,848 81,937 16,704 122,829 430,624 12,633 10,319 176,332 139,725 113,796 25,929 136,549 136,549 47,927 10,414 37,513 367,935 331,749 19,802 16,384 20002 (estimates base) 1,186,043 584,674 601,369 129,589 12,571 2,554 22,717 36,087 45,257 10,403 65,130 6,642 49,422 9,066 427,172 24,023 304,388 42,647 17,347 38,767 129,818 15,414 114,404 61,052 24,002 37,050 36,615 36,615 714,981 71,278 107,302 474,814 61,587 85,507 85,507 63,754 13,461 50,293 36,478 36,478 50,564 3,489 6,662 36,574 3,839 1,133,255 6,689 2,681 13,802 8,918 21,097 108,949 10,749 104,437 38,295 75,586 15,511 105,517 423,730 11,046 9,894 176,354 132,637 108,176 24,461 131,708 131,708 44,493 10,092 34,401 342,297 310,996 17,489 13,812



Percent foreign born 18.8 19.0 18.6 2.4 0.9 0.3 1.4 3.1 3.1 2.1 6.5 2.5 7.9 2.0 5.9 2.6 7.3 2.7 2.7 2.3 6.3 7.5 6.1 2.6 2.1 3.0 5.2 5.2 14.5 7.2 7.1 16.1 20.3 2.0 2.0 2.3 2.1 2.4 4.1 4.1 1.0 0.8 0.6 1.1 1.0 3.0 0.8 1.0 1.2 1.0 0.5 1.3 0.8 2.1 0.8 1.0 0.6 2.1 4.2 1.5 0.7 5.6 11.5 12.6 6.5 29.0 29.0 3.6 2.5 3.9 10.0 10.4 7.7 3.7



Total workers 1,389,976 654,387 735,589 147,721 16,171 2,443 23,900 45,040 47,258 12,909 90,916 9,707 69,525 11,684 528,343 32,547 374,449 53,238 20,116 47,993 164,477 21,079 143,398 67,169 25,155 42,014 43,331 43,331 871,760 78,086 123,875 587,086 82,713 98,640 98,640 94,922 19,602 75,320 37,740 37,740 58,449 4,178 8,449 41,638 4,184 1,376,248 8,154 2,451 17,906 10,999 23,931 130,809 14,898 123,339 47,717 104,725 19,583 156,972 530,355 12,721 9,459 162,229 168,623 137,444 31,179 184,789 184,789 55,204 10,389 44,815 503,514 467,256 17,037 19,221



Total persons 477,496 214,084 263,412 26,630 1,559 520 4,481 3,732 14,793 1,545 10,105 1,020 7,806 1,279 104,742 6,018 79,311 7,106 4,378 7,929 29,152 2,892 26,260 22,161 10,683 11,478 12,538 12,538 224,922 11,079 14,272 169,784 29,787 28,603 28,603 13,434 2,397 11,037 9,988 9,988 13,194 930 1,339 9,978 947 264,721 1,413 450 2,138 1,473 4,487 24,774 915 36,358 6,494 13,253 3,168 11,177 68,552 2,095 4,586 83,388 44,047 37,104 6,943 51,692 51,692 14,456 3,993 10,463 74,938 70,714 1,609 2,615



Number 119,961 85,528 34,433 6,108 834 158 1,951 2,113 851 201 8,213 802 6,701 710 9,464 686 6,225 1,630 116 807 7,393 1,793 5,600 3,463 945 2,518 1,937 1,937 79,185 7,073 25,370 41,290 5,452 2,465 2,465 6,605 1,863 4,742 8,431 8,431 1,236 51 263 718 204 49,814 284 89 639 409 726 4,965 1,178 5,231 2,553 6,351 1,193 17,312 6,894 1,587 425 –22 7,088 5,620 1,468 4,841 4,841 3,434 322 3,112 25,638 20,753 2,313 2,572



Percent 10.1 14.6 5.7 4.7 6.6 6.2 8.6 5.9 1.9 1.9 12.6 12.1 13.6 7.8 2.2 2.9 2.0 3.8 0.7 2.1 5.7 11.6 4.9 5.7 3.9 6.8 5.3 5.3 11.1 9.9 23.6 8.7 8.9 2.9 2.9 10.4 13.8 9.4 23.1 23.1 2.4 1.5 3.9 2.0 5.3 4.4 4.2 3.3 4.6 4.6 3.4 4.6 11.0 5.0 6.7 8.4 7.7 16.4 1.6 14.4 4.3 0.0 5.3 5.2 6.0 3.7 3.7 7.7 3.2 9.0 7.5 6.7 13.2 18.6



Riverside-San Bernardino-Ontario, CA . Riverside County, CA . . . . . . . . . . San Bernardino County, CA . . . . . . Roanoke, VA. . . . . . . . . . . . . . . . . . Botetourt County, VA . . . . . . . . . . . Craig County, VA . . . . . . . . . . . . . Franklin County, VA. . . . . . . . . . . . Roanoke County, VA . . . . . . . . . . . Roanoke city, VA . . . . . . . . . . . . . Salem city, VA . . . . . . . . . . . . . . . Rochester, MN . . . . . . . . . . . . . . . . Dodge County, MN . . . . . . . . . . . . Olmsted County, MN . . . . . . . . . . . Wabasha County, MN . . . . . . . . . . Rochester, NY. . . . . . . . . . . . . . . . . Livingston County, NY . . . . . . . . . . Monroe County, NY. . . . . . . . . . . . Ontario County, NY . . . . . . . . . . . . Orleans County, NY . . . . . . . . . . . Wayne County, NY . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . .



Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . Boone County, IL . . . . . . . . . . . . . . . . . . . . . . Winnebago County, IL . . . . . . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . Edgecombe County, NC. . . . . . . . . . . . . . . . . . Nash County, NC . . . . . . . . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . . . Floyd County, GA . . . . . . . . . . . . . . . . . Sacramento—Arden-Arcade—Roseville, CA . El Dorado County, CA . . . . . . . . . . . . . . Placer County, CA . . . . . . . . . . . . . . . . Sacramento County, CA. . . . . . . . . . . . . Yolo County, CA . . . . . . . . . . . . . . . . . . Saginaw-Saginaw Township North, MI . . . . . Saginaw County, MI . . . . . . . . . . . . . . . St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . Benton County, MN . . . . . . . . . . . . . . . . Stearns County, MN . . . . . . . . . . . . . . . St. George, UT . . . . . . . . . . . . . . . . . . . . Washington County, UT . . . . . . . . . . . . . St. Joseph, MO-KS . . . . . . . . . . . . . . . . . Doniphan County, KS . . . . . . . . . . . . . . Andrew County, MO . . . . . . . . . . . . . . . Buchanan County, MO. . . . . . . . . . . . . . DeKalb County, MO . . . . . . . . . . . . . . . St. Louis, MO-IL5 . . . . . . . . . . . . . . . . . . . Bond County, IL . . . . . . . . . . . . . . . . . . Calhoun County, IL . . . . . . . . . . . . . . . . Clinton County, IL . . . . . . . . . . . . . . . . . Jersey County, IL . . . . . . . . . . . . . . . . . Macoupin County, IL . . . . . . . . . . . . . . . Madison County, IL . . . . . . . . . . . . . . . . Monroe County, IL . . . . . . . . . . . . . . . . St. Clair County, IL . . . . . . . . . . . . . . . . Franklin County, MO . . . . . . . . . . . . . . . Jefferson County, MO . . . . . . . . . . . . . . Lincoln County, MO. . . . . . . . . . . . . . . . St. Charles County, MO . . . . . . . . . . . . . St. Louis County, MO . . . . . . . . . . . . . . Warren County, MO. . . . . . . . . . . . . . . . Washington County, MO . . . . . . . . . . . . St. Louis city, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . Marion County, OR . . . . . . . . . . . . . . . . . . . . . Polk County, OR. . . . . . . . . . . . . . . . . . . . . . . Salinas, CA . . . . . . . . . Monterey County, CA . Salisbury, MD . . . . . . . . Somerset County, MD . Wicomico County, MD . Salt Lake City, UT . . . . . Salt Lake County, UT . Summit County, UT . . . Tooele County, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



223



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... CA. ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.5 21.5 19.5 22.1 10.5 19.4 22.7 26.2 19.1 31.4 13.3 12.8 29.5 29.5 16.6 16.6 38.8 35.0 34.9 35.0 43.6 51.3 45.0 39.0 39.8 17.1 40.5 26.7 26.7 29.4 29.4 34.2 34.2 36.9 36.9 28.5 28.5 24.6 20.8 27.4 23.2 19.3 25.0 13.6 17.5 19.6 16.4 15.4 32.7 36.1 40.0 24.4 20.6 20.6 17.9 17.9 17.2 17.2 19.2 18.1 20.6 10.2 18.5 18.9 12.4 14.1 26.3 25.1 25.5 16.3 26.0 17.0 21.7 23.6 12.1 Percent of workers who drove alone to work 72.6 78.4 72.5 70.5 68.0 70.2 69.9 76.3 74.2 74.5 69.4 71.0 68.2 68.2 82.5 82.5 58.6 62.9 61.3 65.4 53.2 62.3 37.8 68.5 72.8 66.6 72.9 68.1 68.1 63.4 63.4 63.7 63.7 66.6 66.6 70.0 70.0 75.9 75.5 76.2 72.5 79.0 70.8 78.8 75.6 74.8 76.1 75.3 66.6 65.7 64.3 69.9 70.2 70.2 77.6 77.6 75.7 75.7 72.9 77.5 71.2 69.8 74.0 74.3 72.0 69.3 77.3 79.4 80.9 67.6 80.1 68.9 75.6 75.3 76.9 Percent of persons below poverty level in 1999 14.5 8.4 14.6 14.7 19.9 10.7 15.5 8.4 9.6 10.3 14.7 11.1 12.0 12.0 8.1 8.1 9.0 9.5 10.9 7.5 8.3 6.3 11.1 5.8 7.5 9.8 7.4 12.1 12.1 13.8 13.8 11.5 11.5 11.8 11.8 7.9 7.9 8.6 9.9 7.6 14.1 11.6 15.1 9.2 10.5 10.2 10.7 9.9 8.4 7.8 8.2 6.8 10.2 10.2 5.0 5.0 10.9 10.9 19.0 13.4 20.6 24.7 9.8 10.0 11.2 9.8 5.4 6.9 4.4 7.9 7.3 7.0 9.9 9.9 9.8 Housing units



Change 2000–20043 2004 (July 1) 45,915 939 44,976 701,046 15,511 9,861 560,820 38,512 37,002 11,272 15,410 12,658 1,099,235 1,099,235 36,820 36,820 1,654,724 928,689 552,258 376,431 726,035 106,598 353,930 265,507 618,317 17,632 600,685 109,798 109,798 147,831 147,831 101,040 101,040 60,278 60,278 191,689 191,689 355,803 154,424 201,379 133,020 10,278 106,405 16,337 255,885 96,405 146,411 13,069 1,338,140 1,040,502 781,976 258,526 297,638 297,638 48,277 48,277 50,007 50,007 166,178 43,936 110,712 11,530 57,997 41,741 7,722 2,730 5,804 85,005 12,495 2,507 66,064 3,939 136,416 111,341 25,075 20002 (estimates base) 44,830 914 43,916 648,587 14,877 9,503 521,359 32,718 33,585 9,609 14,826 12,110 1,040,149 1,040,149 35,909 35,909 1,606,855 894,760 540,183 354,577 712,095 104,990 346,527 260,578 595,828 16,499 579,329 102,275 102,275 142,901 142,901 98,873 98,873 57,701 57,701 183,153 183,153 320,595 138,128 182,467 122,527 8,675 99,683 14,169 252,761 95,362 144,686 12,713 1,255,504 978,444 742,239 236,205 277,060 277,060 45,951 45,951 48,315 48,315 159,786 40,306 108,276 11,204 56,940 41,394 7,528 2,673 5,345 75,603 9,131 2,383 60,237 3,852 130,897 107,013 23,884



Percent foreign born 5.9 3.5 5.9 9.8 5.1 3.9 10.9 4.8 6.5 5.6 4.1 3.3 21.5 21.5 1.5 1.5 27.4 24.0 27.2 19.0 32.0 16.6 36.8 32.3 33.6 18.8 34.1 8.9 8.9 21.2 21.2 18.2 18.2 10.1 10.1 14.3 14.3 8.9 8.4 9.3 3.5 2.5 4.0 1.3 2.0 2.3 1.9 1.2 12.6 14.0 15.4 9.7 8.1 8.1 4.3 4.3 3.9 3.9 1.7 2.5 1.5 1.0 7.8 7.2 15.6 3.4 2.4 3.4 1.1 0.7 4.1 0.5 4.1 4.6 1.9



Total workers 52,630 872 51,758 808,627 16,441 8,254 658,509 37,958 44,206 11,321 17,160 14,778 1,407,152 1,407,152 39,502 39,502 2,164,856 1,209,224 734,555 474,669 955,632 133,052 448,669 373,911 904,279 25,347 878,932 116,868 116,868 196,304 196,304 137,734 137,734 68,236 68,236 240,198 240,198 257,741 117,077 140,664 142,821 11,505 113,087 18,229 267,166 101,831 151,869 13,466 1,649,977 1,297,300 974,767 322,533 352,677 352,677 61,080 61,080 53,380 53,380 176,280 48,990 116,718 10,572 74,893 54,240 10,511 3,247 6,895 106,637 13,651 2,840 85,601 4,545 161,299 135,196 26,103



Total persons 15,341 148 15,193 252,311 7,701 1,895 215,736 6,585 8,568 2,443 5,794 3,589 338,399 338,399 6,439 6,439 371,257 228,379 156,804 71,575 142,878 15,601 86,585 40,692 129,711 5,241 124,470 29,775 29,775 55,086 55,086 29,383 29,383 15,241 15,241 36,349 36,349 50,921 26,104 24,817 41,216 2,715 35,043 3,458 58,727 21,802 34,136 2,789 254,886 183,570 142,546 41,024 71,316 71,316 5,658 5,658 12,109 12,109 71,383 13,184 51,903 6,296 14,000 10,434 2,264 621 681 12,918 1,053 458 10,790 617 31,213 26,226 4,987



Number 1,085 25 1,060 52,459 634 358 39,461 5,794 3,417 1,663 584 548 59,086 59,086 911 911 47,869 33,929 12,075 21,854 13,940 1,608 7,403 4,929 22,489 1,133 21,356 7,523 7,523 4,930 4,930 2,167 2,167 2,577 2,577 8,536 8,536 35,208 16,296 18,912 10,493 1,603 6,722 2,168 3,124 1,043 1,725 356 82,636 62,058 39,737 22,321 20,578 20,578 2,326 2,326 1,692 1,692 6,392 3,630 2,436 326 1,057 347 194 57 459 9,402 3,364 124 5,827 87 5,519 4,328 1,191



Percent 2.4 2.7 2.4 8.1 4.3 3.8 7.6 17.7 10.2 17.3 3.9 4.5 5.7 5.7 2.5 2.5 3.0 3.8 2.2 6.2 2.0 1.5 2.1 1.9 3.8 6.9 3.7 7.4 7.4 3.4 3.4 2.2 2.2 4.5 4.5 4.7 4.7 11.0 11.8 10.4 8.6 18.5 6.7 15.3 1.2 1.1 1.2 2.8 6.6 6.3 5.4 9.4 7.4 7.4 5.1 5.1 3.5 3.5 4.0 9.0 2.2 2.9 1.9 0.8 2.6 2.1 8.6 12.4 36.8 5.2 9.7 2.3 4.2 4.0 5.0



San Angelo, TX . . . . . . . . . . . . . . . . . . . Irion County, TX . . . . . . . . . . . . . . . . . Tom Green County, TX . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . . . . . Atascosa County, TX . . . . . . . . . . . . . . Bandera County, TX . . . . . . . . . . . . . . Bexar County, TX . . . . . . . . . . . . . . . . Comal County, TX. . . . . . . . . . . . . . . . Guadalupe County, TX. . . . . . . . . . . . . Kendall County, TX . . . . . . . . . . . . . . . Medina County, TX . . . . . . . . . . . . . . . Wilson County, TX . . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA . . . . San Diego County, CA. . . . . . . . . . . . . Sandusky, OH . . . . . . . . . . . . . . . . . . . . Erie County, OH . . . . . . . . . . . . . . . . . San Francisco-Oakland-Fremont, CA . . . Oakland-Fremont-Hayward, CA . . . . . . . Alameda County, CA . . . . . . . . . . . . Contra Costa County, CA . . . . . . . . . San Francisco-San Mateo-Redwood City, Marin County, CA . . . . . . . . . . . . . . San Francisco County, CA. . . . . . . . . San Mateo County, CA . . . . . . . . . . . San Jose-Sunnyvale-Santa Clara, CA . . . . San Benito County, CA . . . . . . . . . . . . Santa Clara County, CA . . . . . . . . . . . . San Luis Obispo-Paso Robles, CA . . . . . . San Luis Obispo County, CA. . . . . . . . . Santa Barbara-Santa Maria, CA . . . . . . . . Santa Barbara County, CA . . . . . . . . . . Santa Cruz-Watsonville, CA. . . . . . . . . . . Santa Cruz County, CA . . . . . . . . . . . . Santa Fe, NM . . . . . . . . . . . . . . . . . . . . Santa Fe County, NM . . . . . . . . . . . . . Santa Rosa-Petaluma, CA. . . . . . . . . . . . Sonoma County, CA . . . . . . . . . . . . . . Sarasota-Bradenton-Venice, FL . . . . . . . . Manatee County, FL . . . . . . . . . . . . . . Sarasota County, FL . . . . . . . . . . . . . . Savannah, GA . . . . . . . . . . . . . . . . . . . Bryan County, GA . . . . . . . . . . . . . . . . Chatham County, GA. . . . . . . . . . . . . . Effingham County, GA . . . . . . . . . . . . . Scranton—Wilkes-Barre, PA . . . . . . . . . . Lackawanna County, PA . . . . . . . . . . . Luzerne County, PA . . . . . . . . . . . . . . Wyoming County, PA . . . . . . . . . . . . . . Seattle-Tacoma-Bellevue, WA . . . . . . . . Seattle-Bellevue-Everett, WA . . . . . . . . King County, WA . . . . . . . . . . . . . . . Snohomish County, WA . . . . . . . . . . Tacoma, WA . . . . . . . . . . . . . . . . . . . Pierce County, WA . . . . . . . . . . . . . . Sheboygan, WI . . . . . . . . . . . . . . . . . . . Sheboygan County, WI . . . . . . . . . . . . Sherman-Denison, TX . . . . . . . . . . . . . . Grayson County, TX . . . . . . . . . . . . . . Shreveport-Bossier City, Bossier Parish, LA . . Caddo Parish, LA . . . De Soto Parish, LA . . LA . ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Sioux City, IA-NE-SD . . . . . . . Woodbury County, IA. . . . . . Dakota County, NE . . . . . . . Dixon County, NE . . . . . . . . Union County, SD . . . . . . . . Sioux Falls, SD . . . . . . . . . . . Lincoln County, SD . . . . . . . McCook County, SD . . . . . . Minnehaha County, SD . . . . Turner County, SD . . . . . . . South Bend-Mishawaka, IN-MI . St. Joseph County, IN . . . . . Cass County, MI . . . . . . . . .



See footnotes at end of table.



224



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.2 18.2 25.0 25.0 28.1 20.5 28.6 25.2 29.1 20.5 37.9 21.3 20.9 9.5 24.2 14.6 11.0 14.9 14.9 36.3 36.3 14.5 14.5 15.8 15.8 25.2 21.6 28.5 14.4 34.1 12.9 16.9 41.7 15.7 21.7 12.7 25.1 13.1 22.9 17.4 12.8 9.4 11.2 21.4 15.0 12.5 16.1 21.2 13.2 21.3 16.0 26.2 23.6 15.4 17.9 14.3 26.0 17.3 34.0 34.0 26.7 26.7 22.5 11.7 11.4 14.6 12.1 16.9 26.9 15.4 21.9 10.5 8.1 24.0 Percent of workers who drove alone to work 75.9 75.9 69.5 69.5 77.4 76.9 77.4 73.6 74.5 75.2 69.0 76.0 79.1 71.8 76.2 71.8 73.2 76.0 76.0 61.4 61.4 65.2 65.2 73.2 73.2 73.3 71.3 74.2 71.3 70.8 67.3 70.9 71.0 74.7 74.3 75.6 73.5 74.6 74.9 75.4 76.3 76.5 78.9 74.5 76.3 77.8 75.6 77.8 80.4 77.4 80.1 77.6 77.6 71.7 73.5 75.0 78.8 74.0 66.4 66.4 68.7 68.7 75.6 75.1 69.2 74.1 72.1 78.7 75.5 78.7 76.4 65.0 69.6 77.5 Percent of persons below poverty level in 1999 12.0 12.0 11.9 11.9 9.1 8.1 9.2 12.4 9.3 14.3 8.3 11.9 9.0 17.7 11.5 15.3 14.3 10.4 10.4 16.8 16.8 17.2 17.2 15.7 15.7 11.8 9.1 11.8 13.5 16.9 18.9 15.8 17.2 10.7 11.0 10.2 12.3 10.5 9.8 11.5 8.5 9.8 9.3 13.0 17.1 18.8 16.4 11.8 5.4 13.6 5.8 9.0 8.9 8.6 6.6 8.2 9.3 7.1 8.1 8.1 14.3 14.3 11.5 13.2 18.4 12.7 12.9 8.5 11.4 8.8 18.0 34.0 26.4 16.2 Housing units



Change 2000–20043 2004 (July 1) 114,726 114,726 184,401 184,401 94,137 5,569 88,568 279,968 32,534 187,432 60,002 170,427 25,339 7,212 113,156 11,818 12,902 61,807 61,807 56,372 56,372 211,678 211,678 43,455 43,455 282,750 29,099 200,040 53,611 148,572 18,033 5,501 113,554 11,484 1,233,984 69,984 477,626 194,333 492,041 74,619 11,572 9,136 7,578 46,333 56,568 18,700 37,868 294,954 16,886 201,158 26,461 50,449 100,543 5,317 7,931 7,310 76,831 3,154 137,573 137,573 397,150 397,150 383,373 28,894 17,594 19,496 7,609 29,448 254,128 26,204 89,839 5,264 8,069 76,506 20002 (estimates base) 106,986 106,986 175,005 175,005 90,746 5,285 85,461 276,459 31,939 185,876 58,644 156,493 21,827 6,914 104,517 11,183 12,052 61,055 61,055 53,161 53,161 189,160 189,160 41,747 41,747 278,110 28,646 196,633 52,831 136,748 17,703 5,251 103,974 9,820 1,143,995 62,727 425,962 173,719 481,587 72,509 11,097 8,804 7,405 45,203 54,190 17,727 36,463 285,491 16,232 196,259 25,532 47,468 96,404 5,094 7,491 7,019 73,767 3,033 133,280 133,280 366,737 366,737 366,194 27,986 17,316 18,826 7,464 27,475 243,953 23,174 84,302 5,117 7,756 71,429



Percent foreign born 3.7 3.7 4.5 4.5 1.8 0.7 1.9 6.7 3.6 7.2 6.6 1.5 0.9 0.5 1.9 1.5 0.8 1.2 1.2 5.8 5.8 19.5 19.5 2.1 2.1 4.5 2.2 5.7 1.6 4.3 4.1 1.2 4.7 1.5 9.8 5.3 11.5 7.0 9.5 1.4 0.6 0.3 0.8 2.0 1.4 1.1 1.5 2.8 1.3 3.2 1.1 2.4 2.2 0.5 0.6 0.6 2.7 0.7 13.9 13.9 11.9 11.9 3.9 0.7 0.7 1.0 0.6 1.3 5.4 1.8 1.9 0.7 0.3 2.1



Total workers 126,914 126,914 210,968 210,968 108,765 6,771 101,994 345,718 39,413 218,853 87,452 190,721 28,763 6,823 128,323 12,549 14,263 71,629 71,629 68,550 68,550 244,516 244,516 48,696 48,696 323,383 35,174 228,431 59,778 170,540 19,547 5,781 134,177 11,035 1,142,022 46,581 509,059 140,895 445,487 81,859 12,819 9,245 8,076 51,719 56,815 18,119 38,696 335,831 21,987 226,450 20,711 66,683 116,408 6,378 9,380 8,459 88,593 3,598 180,299 180,299 397,215 397,215 429,226 31,034 17,015 20,409 7,659 34,604 290,038 28,467 89,352 3,578 6,349 79,425



Total persons 30,394 30,394 49,859 49,859 18,351 1,011 17,340 84,243 6,634 65,024 12,585 43,847 4,869 2,768 27,630 4,142 4,438 15,054 15,054 22,742 22,742 97,105 97,105 16,451 16,451 76,991 6,313 54,208 16,470 54,064 8,509 2,040 41,078 2,437 262,439 13,307 122,872 36,201 90,059 19,701 2,265 2,123 1,558 13,755 22,230 7,602 14,628 77,558 2,255 62,026 2,374 10,903 19,996 1,091 1,219 1,370 15,824 492 28,570 28,570 120,778 120,778 99,150 8,924 7,292 5,651 2,136 5,999 64,062 5,086 34,555 3,391 4,531 26,633



Number 7,740 7,740 9,396 9,396 3,391 284 3,107 3,509 595 1,556 1,358 13,934 3,512 298 8,639 635 850 752 752 3,211 3,211 22,518 22,518 1,708 1,708 4,640 453 3,407 780 11,824 330 250 9,580 1,664 89,989 7,257 51,664 20,614 10,454 2,110 475 332 173 1,130 2,378 973 1,405 9,463 654 4,899 929 2,981 4,139 223 440 291 3,064 121 4,293 4,293 30,413 30,413 17,179 908 278 670 145 1,973 10,175 3,030 5,537 147 313 5,077



Percent 7.2 7.2 5.4 5.4 3.7 5.4 3.6 1.3 1.9 0.8 2.3 8.9 16.1 4.3 8.3 5.7 7.1 1.2 1.2 6.0 6.0 11.9 11.9 4.1 4.1 1.7 1.6 1.7 1.5 8.6 1.9 4.8 9.2 16.9 7.9 11.6 12.1 11.9 2.2 2.9 4.3 3.8 2.3 2.5 4.4 5.5 3.9 3.3 4.0 2.5 3.6 6.3 4.3 4.4 5.9 4.1 4.2 4.0 3.2 3.2 8.3 8.3 4.7 3.2 1.6 3.6 1.9 7.2 4.2 13.1 6.6 2.9 4.0 7.1



Spartanburg, SC . . . . . . . Spartanburg County, SC Spokane, WA . . . . . . . . . Spokane County, WA . . Springfield, IL . . . . . . . . . Menard County, IL . . . . Sangamon County, IL . . Springfield, MA . . . . . . . . Franklin County, MA . . . Hampden County, MA . . Hampshire County, MA . Springfield, MO . . . . . . . . Christian County, MO . . Dallas County, MO . . . . Greene County, MO . . . Polk County, MO . . . . . Webster County, MO . . . Springfield, OH . . . . . . . . Clark County, OH . . . . .



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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



State College, PA . . . . . . . . . . . . . Centre County, PA . . . . . . . . . . . Stockton, CA . . . . . . . . . . . . . . . . San Joaquin County, CA . . . . . . . Sumter, SC. . . . . . . . . . . . . . . . . . Sumter County, SC . . . . . . . . . . . Syracuse, NY . . . . . . . . . . . . . . . . Madison County, NY . . . . . . . . . . Onondaga County, NY . . . . . . . . . Oswego County, NY . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Gadsden County, FL . . . . . . . . . . Jefferson County, FL . . . . . . . . . . Leon County, FL . . . . . . . . . . . . . Wakulla County, FL . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Hernando County, FL . . . . . . . . . Hillsborough County, FL . . . . . . . . Pasco County, FL . . . . . . . . . . . . Pinellas County, FL . . . . . . . . . . . Terre Haute, IN . . . . . . . . . . . . . . . Clay County, IN . . . . . . . . . . . . . Sullivan County, IN . . . . . . . . . . . Vermillion County, IN . . . . . . . . . . Vigo County, IN . . . . . . . . . . . . . Texarkana, TX-Texarkana, AR . . . . . Miller County, AR . . . . . . . . . . . . Bowie County, TX . . . . . . . . . . . . Toledo, OH . . . . . . . . . . . . . . . . . . Fulton County, OH . . . . . . . . . . . Lucas County, OH. . . . . . . . . . . . Ottawa County, OH . . . . . . . . . . . Wood County, OH. . . . . . . . . . . . Topeka, KS. . . . . . . . . . . . . . . . . . Jackson County, KS . . . . . . . . . . Jefferson County, KS. . . . . . . . . . Osage County, KS . . . . . . . . . . . Shawnee County, KS. . . . . . . . . . Wabaunsee County, KS . . . . . . . . Trenton-Ewing, NJ . . . . . Mercer County, NJ . . . Tucson, AZ . . . . . . . . . . Pima County, AZ. . . . . Tulsa, OK. . . . . . . . . . . Creek County, OK. . . . Okmulgee County, OK . Osage County, OK . . . Pawnee County, OK . . Rogers County, OK . . . Tulsa County, OK . . . . Wagoner County, OK. . Tuscaloosa, AL . . . . . . . Greene County, AL . . . Hale County, AL . . . . . Tuscaloosa County, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



225



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22.5 22.5 17.7 15.7 18.3 17.4 11.3 8.4 8.8 19.7 21.4 21.4 23.1 23.1 15.2 12.1 12.3 16.2 11.7 11.7 23.7 13.3 17.6 17.5 41.5 19.2 12.8 37.4 24.7 21.8 19.9 19.6 31.6 13.8 17.3 28.1 45.0 11.5 11.5 19.1 19.1 19.8 19.8 42.5 50.2 30.0 54.6 40.2 39.1 22.5 20.0 27.2 60.2 23.9 54.8 27.1 47.2 31.5 22.8 29.6 15.0 54.3 45.7 63.7 30.5 28.1 20.3 21.6 22.3 23.0 21.5 17.2 18.3 18.3 Percent of workers who drove alone to work 75.2 75.2 73.1 70.5 73.8 73.1 70.6 66.5 70.4 74.0 67.2 67.2 75.6 75.6 72.6 71.4 70.8 73.0 68.5 68.5 73.6 75.7 75.2 79.4 77.7 71.6 70.0 82.5 79.4 73.4 73.4 60.7 84.1 66.4 75.2 78.0 38.2 61.4 61.4 71.7 71.7 78.2 78.2 63.6 67.6 75.7 65.8 62.4 33.6 74.1 73.5 61.5 52.8 75.0 70.6 74.4 78.7 69.6 75.3 71.1 68.4 59.9 70.4 60.8 62.6 71.3 70.6 67.0 76.4 77.2 72.8 75.2 76.9 76.9 Percent of persons below poverty level in 1999 13.5 13.5 12.2 12.3 12.2 18.2 23.0 28.2 17.7 17.0 7.9 7.9 9.1 9.1 13.6 16.2 16.2 12.7 13.9 13.9 10.2 10.6 7.6 8.2 6.2 6.0 10.7 3.5 7.2 10.3 13.3 17.4 4.4 15.4 13.0 6.4 11.3 23.5 23.5 16.8 16.8 10.0 10.0 7.2 5.2 4.4 5.4 7.8 19.1 4.3 5.4 7.5 7.6 6.4 4.5 5.4 2.7 4.3 4.7 3.4 8.3 8.8 5.6 4.2 13.7 6.1 5.2 10.0 10.8 12.5 4.8 4.6 6.5 6.5 Housing units



Change 2000–20043 2004 (July 1) 75,047 75,047 135,385 32,292 103,093 51,711 7,265 1,526 3,131 39,789 144,005 144,005 66,177 66,177 48,000 10,651 3,534 33,815 53,736 53,736 657,757 12,588 15,426 13,316 24,752 5,552 3,533 23,454 77,938 58,585 76,801 95,722 4,460 42,252 29,483 169,420 4,475 126,792 126,792 88,372 88,372 51,207 51,207 2,033,679 434,555 81,504 353,051 1,599,124 276,600 31,166 49,221 313,068 91,559 5,862 380,637 23,881 86,915 120,072 40,583 38,427 14,388 67,699 8,576 4,691 9,084 12,556 3,995 20,144 68,964 53,596 9,818 5,550 54,426 54,426 20002 (estimates base) 71,701 71,701 134,829 32,026 102,803 48,165 7,118 1,482 3,011 36,554 134,513 134,513 57,902 57,902 46,609 10,238 3,426 32,945 52,863 52,863 622,629 10,687 14,494 12,066 20,772 5,333 3,294 20,701 72,672 57,311 74,117 94,416 4,300 41,605 24,704 162,277 3,880 119,639 119,639 84,793 84,793 44,509 44,509 1,890,036 407,648 73,016 334,632 1,482,388 274,845 27,576 43,903 302,378 90,426 5,388 359,411 21,045 62,160 98,052 33,329 31,405 13,300 64,251 8,204 4,725 8,888 12,114 3,365 17,623 66,401 51,760 9,337 5,304 50,360 50,360



Percent foreign born 6.6 6.6 4.5 2.0 5.2 2.8 1.7 12.6 1.1 2.7 16.9 16.9 8.1 8.1 5.0 8.5 2.8 4.3 6.2 6.2 4.5 1.4 1.9 1.1 4.1 2.2 0.5 5.2 3.0 3.9 4.8 5.0 2.9 1.6 1.9 6.6 5.2 22.6 22.6 6.1 6.1 3.4 3.4 17.3 22.5 4.0 26.7 15.8 12.9 2.2 2.9 13.8 27.8 2.5 24.5 3.6 11.3 11.5 3.2 4.0 2.1 25.4 25.4 16.1 5.2 14.2 15.0 2.1 3.2 3.7 1.2 0.8 3.5 3.5



Total workers 82,955 82,955 140,870 31,374 109,496 56,874 7,250 1,755 3,296 44,573 190,243 190,243 47,737 47,737 52,320 8,922 3,047 40,351 65,642 65,642 818,481 9,065 17,879 14,851 23,128 4,242 3,376 29,669 102,470 71,790 92,586 123,360 5,908 48,163 30,345 234,257 7,392 153,805 153,805 102,001 102,001 56,550 56,550 2,648,831 584,274 107,151 477,123 2,064,557 298,225 39,341 64,983 431,120 120,803 6,712 548,812 29,446 95,686 157,254 47,747 50,424 16,257 80,949 12,361 6,072 10,906 19,118 5,672 22,669 86,561 67,444 12,757 6,360 69,216 69,216



Total persons 23,543 23,543 36,685 7,921 28,764 21,751 3,785 1,060 1,284 15,622 31,344 31,344 10,325 10,325 15,140 3,340 1,119 10,681 20,367 20,367 160,249 1,922 2,644 2,449 3,001 550 734 1,947 14,259 15,088 24,027 40,857 512 15,471 8,264 27,163 1,361 86,572 86,572 35,977 35,977 11,058 11,058 345,860 55,574 8,550 47,024 290,286 109,500 3,235 6,518 60,196 14,371 811 43,396 2,964 4,637 12,182 4,247 3,138 2,631 11,279 1,205 432 2,632 2,151 530 4,231 17,725 16,050 1,111 564 8,163 8,163



Number 3,346 3,346 556 266 290 3,546 147 44 120 3,235 9,492 9,492 8,275 8,275 1,391 413 108 870 873 873 35,128 1,901 932 1,250 3,980 219 239 2,753 5,266 1,274 2,684 1,306 160 647 4,779 7,143 595 7,153 7,153 3,579 3,579 6,698 6,698 143,643 26,907 8,488 18,419 116,736 1,755 3,590 5,318 10,690 1,133 474 21,226 2,836 24,755 22,020 7,254 7,022 1,088 3,448 372 –34 196 442 630 2,521 2,563 1,836 481 246 4,066 4,066



Percent 4.7 4.7 0.4 0.8 0.3 7.4 2.1 3.0 4.0 8.8 7.1 7.1 14.3 14.3 3.0 4.0 3.2 2.6 1.7 1.7 5.6 17.8 6.4 10.4 19.2 4.1 7.3 13.3 7.2 2.2 3.6 1.4 3.7 1.6 19.3 4.4 15.3 6.0 6.0 4.2 4.2 15.0 15.0 7.6 6.6 11.6 5.5 7.9 0.6 13.0 12.1 3.5 1.3 8.8 5.9 13.5 39.8 22.5 21.8 22.4 8.2 5.4 4.5 –0.7 2.2 3.6 18.7 14.3 3.9 3.5 5.2 4.6 8.1 8.1



Tyler, TX . . . . . . . . . . Smith County, TX . . . Utica-Rome, NY . . . . . Herkimer County, NY. Oneida County, NY . . Valdosta, GA. . . . . . . . Brooks County, GA . . Echols County, GA . . Lanier County, GA . . Lowndes County, GA.



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Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . Solano County, CA . . . . . . . . . . . . . . . . . Vero Beach, FL . . . . . . . . . . . . . . . . . . . . . Indian River County, FL . . . . . . . . . . . . . . Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . Calhoun County, TX . . . . . . . . . . . . . . . . Goliad County, TX. . . . . . . . . . . . . . . . . . Victoria County, TX . . . . . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . Cumberland County, NJ . . . . . . . . . . . . . . Virginia Beach-Norfolk-Newport News, VA-NC. Currituck County, NC. . . . . . . . . . . . . . . . Gloucester County, VA. . . . . . . . . . . . . . . Isle of Wight County, VA . . . . . . . . . . . . . James City County, VA . . . . . . . . . . . . . . Mathews County, VA . . . . . . . . . . . . Surry County, VA . . . . . . . . . . . . . . York County, VA . . . . . . . . . . . . . . . Chesapeake city, VA . . . . . . . . . . . . Hampton city, VA . . . . . . . . . . . . . . Newport News city, VA. . . . . . . . . . . Norfolk city, VA. . . . . . . . . . . . . . . . Poquoson city, VA. . . . . . . . . . . . . . Portsmouth city, VA . . . . . . . . . . . . . Suffolk city, VA . . . . . . . . . . . . . . . . Virginia Beach city, VA . . . . . . . . . . . Williamsburg city, VA . . . . . . . . . . . . Visalia-Porterville, CA . . . . . . . . . . . . . Tulare County, CA. . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . McLennan County, TX . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . . . . Houston County, GA . . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . . . . . . . . . . . Bethesda-Gaithersburg-Frederick, MD Frederick County, MD . . . . . . . . . . Montgomery County, MD. . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . . . . . . . . . . District of Columbia, DC . . . . . . . . Calvert County, MD . . . . . . . . . . . Charles County, MD . . . . . . . . . . . Prince George’s County, MD . . . . . Arlington County, VA . . . . . . . . . . Clarke County, VA . . . . . . . . . . . . Fairfax County, VA . . . . . . Fauquier County, VA . . . . Loudoun County, VA. . . . . Prince William County, VA . Spotsylvania County, VA . . Stafford County, VA . . . . . Warren County, VA. . . . . . Alexandria city, VA . . . . Fairfax city, VA . . . . . . Falls Church city, VA . . Fredericksburg city, VA . Manassas city, VA . . . . Manassas Park city, VA Jefferson County, WV . . Waterloo-Cedar Falls, IA . . . Black Hawk County, IA . . Bremer County, IA . . . . . Grundy County, IA . . . . . Wausau, WI . . . . . . . . . . . Marathon County, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



226



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-2. Metropolitan Areas With Component Counties — Population Characteristics and Housing Units—Con.

2000 Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Persons below poverty level in 1999 Workers 16 years and over Educational attainment, percent with bachelor’s degree or higher1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.1 11.8 13.4 11.5 20.0 21.9 16.2 14.6 11.1 10.7 23.1 24.3 20.4 23.0 25.4 15.7 19.2 15.9 13.9 20.0 15.1 15.1 24.2 16.1 31.0 13.6 18.3 18.6 23.7 11.3 24.0 17.6 28.7 9.3 10.3 26.9 26.9 15.3 15.3 18.4 18.4 16.3 17.5 14.5 17.3 13.2 15.3 10.3 11.8 11.8 Percent of workers who drove alone to work 77.9 76.7 79.2 79.5 65.6 64.6 67.7 73.9 76.6 73.8 70.2 79.3 80.0 77.3 79.6 74.9 72.8 76.3 75.3 72.4 74.0 74.0 75.2 73.3 76.2 74.5 74.2 79.7 67.3 64.3 75.5 78.6 75.2 75.0 75.6 77.5 77.5 67.7 67.7 80.0 80.0 79.2 79.4 80.4 76.6 65.7 67.0 64.0 63.9 63.9 Percent of persons below poverty level in 1999 13.1 14.7 11.2 11.0 12.9 12.2 14.2 14.8 13.9 16.2 15.0 9.0 7.0 6.1 9.4 9.4 11.8 8.9 10.2 12.1 11.0 11.0 12.7 12.4 12.8 13.2 9.6 6.3 12.7 15.9 10.3 8.5 10.7 9.0 9.9 8.9 8.9 19.4 19.4 6.6 6.6 11.1 12.2 10.1 10.9 17.4 15.2 20.3 18.5 18.5 Housing units



Change 2000–20043 2004 (July 1) 59,593 33,584 11,190 14,819 45,202 31,512 13,690 69,487 31,371 15,957 22,159 249,931 24,844 13,914 200,085 11,088 63,829 3,950 5,125 54,754 53,416 53,416 173,153 61,117 89,309 22,727 49,156 26,182 11,185 11,789 196,697 16,327 143,840 20,056 16,474 308,387 308,387 80,887 80,887 166,175 166,175 260,844 113,378 96,395 51,071 54,245 30,496 23,749 80,604 80,604 20002 (estimates base) 59,169 33,291 11,150 14,728 43,351 30,407 12,944 69,219 31,236 15,814 22,169 238,566 23,178 13,378 191,133 10,877 62,167 3,871 4,992 53,304 52,464 52,464 151,862 51,430 79,634 20,798 45,091 23,319 10,587 11,185 183,129 14,953 133,093 19,262 15,821 298,159 298,159 79,174 79,174 156,720 156,720 256,738 111,762 95,117 49,859 50,955 28,319 22,636 74,140 74,140



Percent foreign born 1.4 1.3 1.1 1.8 13.1 12.9 13.5 1.0 1.0 0.7 1.3 5.7 1.3 3.7 6.6 0.8 4.7 2.3 1.4 5.1 1.2 1.2 3.2 2.9 3.2 3.6 3.0 2.4 6.8 0.6 5.5 3.4 6.5 1.5 4.4 7.9 7.9 16.9 16.9 2.2 2.2 2.0 2.4 1.8 1.6 16.6 19.3 13.2 24.0 24.0



Total workers 58,712 31,829 11,526 15,357 47,410 31,844 15,566 68,887 30,626 15,628 22,633 291,566 29,271 16,922 232,983 12,390 75,860 4,502 5,542 65,816 58,610 58,610 139,955 34,240 86,628 19,087 53,620 31,787 12,777 9,056 217,720 17,601 158,215 23,629 18,275 383,764 383,764 99,238 99,238 203,496 203,496 280,207 118,973 105,683 55,551 60,642 35,470 25,172 59,601 59,601



Total persons 17,304 10,862 2,862 3,580 12,787 8,147 4,640 22,630 9,768 5,769 7,093 51,228 4,187 2,010 42,605 2,426 17,805 788 1,121 15,896 13,205 13,205 34,969 9,095 20,445 5,429 9,939 3,727 2,991 3,221 43,256 2,952 32,699 4,022 3,583 67,136 67,136 43,070 43,070 25,269 25,269 67,208 31,328 22,788 13,092 24,236 12,031 12,205 29,670 29,670



Number 424 293 40 91 1,851 1,105 746 268 135 143 –10 11,365 1,666 536 8,952 211 1,662 79 133 1,450 952 952 21,291 9,687 9,675 1,929 4,065 2,863 598 604 13,568 1,374 10,747 794 653 10,228 10,228 1,713 1,713 9,455 9,455 4,106 1,616 1,278 1,212 3,290 2,177 1,113 6,464 6,464



Percent 0.7 0.9 0.4 0.6 4.3 3.6 5.8 0.4 0.4 0.9 0.0 4.8 7.2 4.0 4.7 1.9 2.7 2.0 2.7 2.7 1.8 1.8 14.0 18.8 12.1 9.3 9.0 12.3 5.6 5.4 7.4 9.2 8.1 4.1 4.1 3.4 3.4 2.2 2.2 6.0 6.0 1.6 1.4 1.3 2.4 6.5 7.7 4.9 8.7 8.7



Weirton-Steubenville, WV-OH. Jefferson County, OH . . . . Brooke County, WV. . . . . . Hancock County, WV. . . . .



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Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . Chelan County, WA . . . . . . . . . . . . . . . . . . . . . Douglas County, WA . . . . . . . . . . . . . . . . . . . . Wheeling, WV-OH . . . . Belmont County, OH . Marshall County, WV . Ohio County, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Wichita, KS. . . . . . . . . . . . . . Butler County, KS . . . . . . . . Harvey County, KS . . . . . . . Sedgwick County, KS . . . . . Sumner County, KS. . . . . . . Wichita Falls, TX . . . . . . . . . . Archer County, TX . . . . . . . Clay County, TX . . . . . . . . . Wichita County, TX . . . . . . . Williamsport, PA . . . . . . . . . . Lycoming County, PA. . . . . . Wilmington, NC . . . . . . . . . . . Brunswick County, NC . . . . . New Hanover County, NC . . Pender County, NC . . . . . . . Winchester, VA-WV . . . . . . . . Frederick County, VA. . . . . . Winchester city, VA . . . . . . . Hampshire County, WV . . . . Winston-Salem, NC . . . . . . . . Davie County, NC . . . . . . . . Forsyth County, NC. . . . . . . Stokes County, NC . . . . . . . Yadkin County, NC . . . . . . . Worcester, MA . . . . . . . . . . . Worcester County, MA . . . . . Yakima, WA . . . . . . . . . . . . . Yakima County, WA. . . . . . . York-Hanover, PA . . . . . . . . . York County, PA . . . . . . . . . Youngstown-Warren-Boardman, Mahoning County, OH . . . . . Trumbull County, OH . . . . . . Mercer County, PA . . . . . . . Yuba City, CA . . . . . . . . . . . . Sutter County, CA . . . . . . . . Yuba County, CA . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . . Yuma County, AZ . . . . . . . . X Not applicable.



...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... OH-PA . ...... ...... ...... ...... ...... ...... ...... ......



Persons 25 years and over. 2 The April 1, 2000, housing unit estimates base reflects modifications to the Census 2000 housing units as documented in the Count Question Resolution program and geographic program revisions. 3 Period refers to April 1, 2000, to July 1, 2004. 4 The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield city is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 5 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA. Note: Covers metropolitan statistical areas and metropolitan divisions and component counties defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . Survey, Census, or Data Collection Method: Educational attainment, foreign born, commuting, and poverty are based on the Census of Population and Housing; for more information, see Appendix B, Limitations of the Data and Methodology, and also 2000 Census of Population and Housing, Demographic Profile Technical Documentation (revised August 2002) at and Census 2000 Summary File 3, Technical Documentation, SF3/15 (RV) (issued March 2005) at . Housing units are based on the ‘‘Estimates and Projections Area Documentation, State and County Housing Units Estimates’’ at (issued 20 July 2005). Sources: Educational attainment, foreign born, commuting, and poverty—U.S. Census Bureau, 2000 Census of Population and Housing, Summary File 3 (SF3) (accessed 12 January 2004) and related Internet site at and 2000 Census of Population and Housing, Summary Social, Economic, and Housing Characteristics, PHC2-1 to 52 and related Internet site at ; Housing units—U.S. Census Bureau, Annual Estimates of Housing Units for Counties: April 1, 2000 to July 1, 2004 at (accessed 14 November 2005).



1



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227



Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by



Industry

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance (NA) (D) 5.6 14.5 11.0 4.7 12.2 (NA) (D) 13.7 7.1 (D) 8.9 (NA) 10.0 13.0 8.2 12.3 (D) (NA) 9.7 3.1 (D) 7.7 16.9 3.4 17.7 13.0 10.2 14.9 15.5 8.8 15.3 15.3 (NA) (D) (D) 16.3 6.3 6.8 6.8 9.2 9.0 12.1 11.4 11.4 7.1 7.1 8.5 8.5 8.4 8.4 8.8 5.8 9.2 (NA) 17.8 (D) 9.9 (D) (NA) 14.2 (D) 6.4 (D) (NA) 5.3 5.7 (D) 11.6 7.6 7.0 7.0 9.8 2.9 9.5 8.7 Government and government enterprises 30.1 27.9 50.5 28.6 14.9 27.3 12.6 22.9 20.8 22.4 26.6 25.9 24.1 26.8 32.7 23.2 19.3 14.4 36.8 22.7 22.6 18.4 37.3 32.5 26.7 46.7 25.5 11.1 14.7 17.8 8.4 14.0 15.8 15.8 17.1 21.6 8.4 17.1 20.4 44.2 44.2 27.1 27.4 23.1 14.6 14.6 17.9 17.9 27.0 27.0 29.8 29.8 10.1 10.1 10.1 16.0 15.9 21.2 13.7 20.8 32.3 34.9 21.6 16.4 23.8 11.5 18.9 13.8 24.8 17.3 15.3 11.2 8.3 16.4 16.7 13.8 15.5



2002 Abilene, TX. . . . . . . . Callahan County, TX Jones County, TX . . Taylor County, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,837 288 360 3,189 21,147 4,131 17,016 3,662 86 2,251 614 227 484 26,967 10,598 4,441 6,500 4,678 751 21,421 17,295 2,412 325 1,390 3,762 366 3,395 23,542 3,529 1,511 10,257 8,245 3,165 3,165 5,828 52 171 2,790 2,815 2,173 2,173 11,874 10,043 1,831 3,430 3,430 4,252 4,252 11,801 11,801 2,618 2,618 6,232 1,277 4,955 10,103 5,739 1,334 2,610 419 4,109 2,353 634 825 297 149,974 1,204 2,133 477 2,120 4,855 5,471 23,332 2,633 478 22,983 2,570



2001 3,674 275 355 3,044 20,602 4,016 16,586 3,517 80 2,165 593 216 463 26,179 10,265 4,327 6,344 4,504 739 20,525 16,559 2,347 309 1,310 3,612 351 3,262 22,762 3,425 1,460 9,940 7,937 3,061 3,061 5,627 52 172 2,666 2,737 2,103 2,103 11,335 9,610 1,725 3,366 3,366 4,199 4,199 11,458 11,458 2,493 2,493 6,062 1,247 4,816 9,857 5,609 1,288 2,543 417 3,961 2,242 624 799 295 147,307 1,178 2,051 459 2,042 4,764 5,329 23,143 2,565 466 22,519 2,513



2000 3,880 265 336 3,278 20,593 3,999 16,594 3,371 82 2,073 566 205 446 25,168 9,810 4,171 6,176 4,274 738 18,910 15,079 2,169 299 1,363 3,318 331 2,987 22,220 3,366 1,424 9,708 7,722 3,057 3,057 5,565 49 175 2,711 2,630 2,067 2,067 10,330 8,778 1,552 3,305 3,305 4,037 4,037 11,541 11,541 2,382 2,382 5,873 1,167 4,705 9,684 5,525 1,262 2,488 410 3,785 2,162 583 766 274 141,817 1,082 1,981 429 1,902 4,480 5,154 22,321 2,440 433 21,434 2,437



2002 24,252 22,337 17,746 25,505 30,205 26,834 31,155 22,862 21,273 23,500 22,158 20,973 22,186 32,297 35,763 28,978 31,420 31,845 23,733 28,471 30,204 25,211 19,521 20,598 25,887 19,538 26,827 31,073 32,824 25,320 32,374 30,133 24,815 24,815 25,255 24,596 25,879 24,125 26,456 26,479 26,479 35,623 37,442 28,128 26,005 26,005 24,983 24,983 35,282 35,282 23,504 23,504 29,891 30,050 29,850 26,757 27,288 24,261 28,252 21,097 24,171 22,860 23,762 30,263 22,624 33,257 23,501 25,860 22,270 22,339 30,450 21,585 36,357 26,932 27,106 34,118 26,085



2000 24,232 20,539 16,213 25,924 29,591 26,245 30,529 21,372 20,155 21,614 22,725 18,675 20,355 30,445 33,301 27,331 30,655 29,187 23,345 25,848 27,046 23,932 17,630 20,513 22,863 17,666 23,632 29,952 32,687 24,199 31,059 28,869 23,692 23,692 24,508 22,446 26,921 23,841 25,127 25,775 25,775 32,235 33,691 25,905 24,795 24,795 24,274 24,274 35,575 35,575 21,397 21,397 28,999 28,664 29,083 26,145 26,693 23,322 27,763 20,786 22,694 21,237 22,549 29,015 21,529 33,120 23,250 25,825 21,745 21,608 31,156 21,611 36,427 27,070 26,579 32,072 26,282



Percent change,2 2000– 2002 –1.1 8.7 6.9 –2.7 2.7 3.3 2.5 8.6 4.7 8.6 8.6 10.8 8.3 7.1 8.0 6.5 5.2 9.4 1.8 13.3 14.7 11.2 8.4 2.0 13.4 10.8 13.7 6.0 4.8 6.2 5.7 6.8 3.5 3.5 4.7 6.1 –2.4 2.9 7.0 5.2 5.2 15.0 14.4 18.0 3.8 3.8 5.3 5.3 2.3 2.3 9.9 9.9 6.1 9.4 5.3 4.3 3.9 5.8 4.9 2.4 8.6 8.9 8.7 7.7 8.5 5.8 11.3 7.7 11.1 11.4 8.4 6.2 4.5 7.9 10.4 7.2 5.5



Manufacturing 4.5 5.8 2.8 4.6 18.8 27.6 17.1 (NA) (D) 19.0 1.5 14.0 5.2 7.8 4.1 6.6 11.8 18.8 2.9 8.7 6.2 41.0 2.5 7.1 10.8 13.8 10.6 21.3 26.1 15.4 21.3 20.0 16.1 16.1 7.5 (D) (D) 8.0 8.8 12.3 12.3 2.1 2.1 2.9 36.4 36.4 31.6 31.6 18.7 18.7 19.3 19.3 24.7 39.0 22.9 17.5 14.7 17.0 25.8 17.3 14.0 15.0 10.4 9.7 4.9 8.2 18.6 27.9 16.7 27.6 8.3 5.7 4.9 19.2 10.7 6.9 10.5



Retail trade 8.4 10.2 6.5 8.5 7.8 7.3 7.9 7.5 2.6 7.5 6.1 7.2 10.4 6.3 5.4 7.6 9.4 6.0 9.7 7.8 7.8 5.7 11.3 10.7 8.0 4.2 8.2 8.0 13.1 10.2 6.6 8.2 10.5 10.5 9.2 3.4 1.4 9.7 10.6 6.2 6.2 7.5 7.0 13.5 7.3 7.3 10.1 10.1 5.5 5.5 8.4 8.4 8.0 5.7 8.3 9.0 8.6 12.4 9.3 5.1 7.6 7.6 6.0 8.2 6.1 6.5 12.3 8.4 7.1 9.1 11.0 6.9 7.5 11.4 16.0 6.3 15.0



Professional and technical services (NA) (D) 1.9 4.7 5.7 3.1 6.2 (NA) (D) 5.4 (D) 3.0 1.4 10.3 9.1 7.4 9.0 18.3 2.8 13.4 14.7 3.4 1.3 2.4 4.8 0.8 5.0 5.3 4.5 2.9 5.7 5.1 5.0 5.0 (NA) (D) (D) 6.6 4.8 4.3 4.3 8.2 8.5 4.4 2.6 2.6 2.8 2.8 14.0 14.0 3.9 3.9 (NA) (D) 4.5 5.2 6.2 4.3 3.0 2.1 4.0 3.6 4.0 8.4 2.3 (NA) 3.9 3.6 2.4 3.0 6.2 4.8 14.4 4.3 (D) 8.4 4.1



Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . Portage County, OH . . . . . . . . . . . . . . . . . . . . Summit County, OH . . . . . . . . . . . . . . . . . . . . Albany, GA . . . . . . . . . . . . . Baker County, GA . . . . . . . Dougherty County, GA . . . . Lee County, GA . . . . . . . . Terrell County, GA. . . . . . . Worth County, GA. . . . . . . Albany-Schenectady-Troy, NY Albany County, NY . . . . . . Rensselaer County, NY . . . Saratoga County, NY. . . . . Schenectady County, NY . . Schoharie County, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Albuquerque, NM. . . . . . . . . . . . . . Bernalillo County, NM . . . . . . . . . Sandoval County, NM . . . . . . . . . Torrance County, NM. . . . . . . . . . Valencia County, NM . . . . . . . . . . Alexandria, LA. . . . . . . . . . . . . . . . Grant Parish, LA. . . . . . . . . . . . . Rapides Parish, LA . . . . . . . . . . . Allentown-Bethlehem-Easton, PA-NJ . Warren County, NJ . . . . . . . . . . . Carbon County, PA . . . . . . . . . . . Lehigh County, PA . . . . . . . . . . . Northampton County, PA . . . . . . . Altoona, PA . . . . . . . . . . . . . . . . . Blair County, PA . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . . Armstrong County, TX . . . . . . . . . Carson County, TX . . . . . . . . . . . Potter County, TX . . . . . . . . . . . . Randall County, TX . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . . Story County, IA . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . . Anchorage Borough, AK. . . . . . . . Matanuska-Susitna Borough, AK . . Anderson, IN . . . . . . . . . . . . . . . . Madison County, IN. . . . . . . . . . . Anderson, SC . . . . . . . . . . . . . . . . Anderson County, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . . . . . . . . Washtenaw County, MI . . . . . . . . Anniston-Oxford, AL . . . . . . . . . . . . Calhoun County, AL . . . . . . . . . . Appleton, WI . . . . . . . . . . . . . . . . . Calumet County, WI . . . . . . . . . . Outagamie County, WI. . . . . . . . . Asheville, NC . . . . . . . . . . . . . . . . Buncombe County, NC . . . . . . . . Haywood County, NC . . . . . . . . . Henderson County, NC . . . . . . . . Madison County, NC . . . . . . . . . . Athens-Clarke County, GA. . . . . . . . Clarke County, GA . . . . . . . . . . . Madison County, GA . . . . . . . . . . Oconee County, GA . . . . . . . . . . Oglethorpe County, GA . . . . . . . . Atlanta-Sandy Springs-Marietta, GA . Barrow County, GA . . . . . . . . . . . Bartow County, GA . . . . . . . . . . . Butts County, GA . . . . . . . . . . . . Carroll County, GA . . . . . . . . . . . Cherokee County, GA . . . . . . . . . Clayton County, GA. . . . . . . . . . . Cobb County, GA . . . . . . . . . . . . Coweta County, GA. . . . . . . . . . . Dawson County, GA . . . . . . . . . . DeKalb County, GA . . . . . . . . . . . Douglas County, GA . . . . . . . . . . See footnotes at end of table.



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Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance Government and government enterprises



2002 Atlanta-Sandy Springs-Marietta, Fayette County, GA. . . . . . . Forsyth County, GA. . . . . . . Fulton County, GA . . . . . . . Gwinnett County, GA . . . . . . Haralson County, GA. . . . . . Heard County, GA. . . . . . . . Henry County, GA. . . . . . . . Jasper County, GA . . . . . . . Lamar County, GA . . . . . . . Meriwether County, GA . . . . Newton County, GA. . . . . . . Paulding County, GA . . . . . . Pickens County, GA . . . . . . Pike County, GA . . . . . . . . . Rockdale County, GA . . . . . Spalding County, GA . . . . . . Walton County, GA . . . . . . . Atlantic City, NJ . . . . . . . . . . . Atlantic County, NJ . . . . . . . GA—Con. ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........



2001



2000



2002



2000



Percent change,2 2000– 2002



Manufacturing



Retail trade



Professional and technical services



. . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . .



3,626 3,861 38,921 19,553 600 215 3,732 283 379 474 1,632 2,189 712 345 2,114 1,439 1,643 8,210 8,210 2,530 2,530 13,016 417 2,881 523 4,755 3,922 517 42,671 1,417 706 2,623 30,091 7,833 15,674 15,674 92,410 19,756 29,376 5,434 7,558 11,830 1,506 16,949 3,817 3,817 9,021 9,021 18,494 2,078 11,704 455 689 2,110 489 188 517 264 3,621 3,621 2,861 2,861 9,689 1,159 6,491 2,038 4,509 4,509 3,540 3,540 3,986 251 3,735 6,503 5,223 1,281



3,538 3,827 38,302 19,379 575 211 3,612 274 365 457 1,574 2,131 688 334 2,042 1,381 1,589 7,887 7,887 2,437 2,437 12,506 405 2,770 507 4,527 3,798 499 43,152 1,395 693 2,566 30,275 8,224 14,727 14,727 89,050 18,910 28,465 5,194 7,263 11,353 1,452 16,414 3,667 3,667 8,714 8,714 17,841 2,000 11,321 432 658 2,022 475 184 497 253 3,477 3,477 2,829 2,829 9,375 1,125 6,274 1,976 4,341 4,341 3,367 3,367 3,846 244 3,602 6,371 5,110 1,261



3,383 3,637 37,497 19,008 544 208 3,285 255 337 459 1,485 1,959 619 310 1,964 1,324 1,450 7,975 7,975 2,338 2,338 11,963 388 2,672 481 4,411 3,546 465 41,157 1,307 642 2,323 28,865 8,019 13,891 13,891 85,144 17,917 27,083 4,909 6,874 10,893 1,390 16,077 3,422 3,422 7,980 7,980 17,206 1,840 10,993 417 614 1,960 466 172 499 243 3,471 3,471 2,858 2,858 9,169 1,092 6,124 1,953 4,063 4,063 3,140 3,140 3,651 230 3,421 6,315 5,075 1,239



37,553 33,108 47,478 30,138 22,320 19,117 26,658 23,226 23,347 20,764 22,749 23,207 27,743 23,615 28,903 24,126 24,502 31,702 31,702 21,445 21,445 25,666 18,300 30,345 24,529 23,994 27,019 20,930 31,677 22,057 20,223 23,910 35,492 26,979 22,635 22,635 35,556 39,273 38,159 34,117 33,249 45,464 35,172 26,629 26,123 26,123 39,589 39,589 25,841 25,432 28,474 21,571 20,796 21,336 21,701 18,034 23,859 17,377 26,097 26,097 26,067 26,067 25,352 23,596 26,096 24,182 25,902 25,902 28,193 28,193 28,156 25,792 28,330 25,809 26,088 24,732



36,725 36,179 45,894 31,868 21,087 18,773 27,006 22,180 21,090 20,386 23,598 23,597 26,502 22,455 27,836 22,640 23,526 31,517 31,517 20,248 20,248 23,911 17,410 29,750 22,590 22,105 24,838 18,899 32,546 22,419 19,774 23,464 35,208 31,453 20,931 20,931 33,294 36,463 35,828 32,379 31,320 43,648 34,093 24,789 23,621 23,621 35,745 35,745 24,325 23,790 26,633 19,528 18,450 21,172 20,488 16,391 23,132 16,065 25,138 25,138 25,951 25,951 23,832 22,687 24,336 22,990 24,245 24,245 26,929 26,929 26,246 24,050 26,408 25,054 25,339 23,948



7.2 6.2 3.8 2.9 10.3 3.3 13.6 11.1 12.3 3.3 9.9 11.7 14.9 11.2 7.7 8.7 13.4 2.9 2.9 8.2 8.2 8.8 7.5 7.8 8.9 7.8 10.6 11.3 3.7 8.4 10.0 12.9 4.2 –2.3 12.8 12.8 8.5 10.3 8.5 10.7 9.9 8.6 8.3 5.4 11.5 11.5 13.0 13.0 7.5 12.9 6.5 9.0 12.1 7.7 4.9 9.2 3.7 8.4 4.3 4.3 0.1 0.1 5.7 6.2 6.0 4.4 11.0 11.0 12.8 12.8 9.2 9.1 9.2 3.0 2.9 3.3



13.7 17.7 5.9 11.0 31.0 (D) 10.5 35.9 24.6 22.3 30.1 7.5 12.6 16.1 20.7 24.9 17.1 3.2 3.2 15.7 15.7 14.0 17.3 16.1 21.1 12.6 14.1 20.6 14.6 7.2 4.0 11.6 15.7 8.4 4.4 4.4 8.3 9.6 10.4 11.7 6.2 5.6 11.0 6.7 13.6 13.6 3.2 3.2 13.9 29.0 8.7 7.5 47.1 10.7 8.6 9.6 28.2 19.6 31.8 31.8 20.5 20.5 20.5 11.3 18.6 33.6 13.8 13.8 9.5 9.5 6.5 4.4 6.6 26.4 22.1 53.4



9.5 6.8 4.0 9.6 8.2 1.4 11.2 3.6 7.5 10.0 7.4 13.1 9.1 3.0 9.1 9.5 11.2 8.3 8.3 9.6 9.6 7.1 5.4 10.9 10.0 6.8 6.7 4.9 6.3 13.5 9.2 12.7 5.7 7.7 7.3 7.3 6.6 6.6 8.8 9.2 10.0 8.0 12.3 3.1 9.8 9.8 11.2 11.2 6.7 6.3 6.9 4.7 3.5 11.3 9.8 4.0 4.4 1.8 6.6 6.6 10.9 10.9 7.9 12.0 7.7 7.6 8.6 8.6 11.0 11.0 9.6 11.5 9.6 6.8 7.0 5.4



6.4 10.3 15.3 9.3 (D) 0.7 3.8 2.8 1.5 2.2 (D) 5.4 5.1 3.9 4.9 (D) 3.0 6.2 6.2 (NA) (D) (NA) (D) (D) 2.4 4.0 4.2 1.0 11.6 6.0 2.9 5.6 13.0 4.6 5.0 5.0 11.4 10.6 9.9 5.6 8.6 20.2 6.8 11.1 4.6 4.6 8.6 8.6 (NA) 4.5 9.0 2.3 1.8 (D) 3.2 (D) 1.3 (D) 5.6 5.6 10.7 10.7 (NA) 4.5 12.2 (D) 5.8 5.8 7.3 7.3 7.5 4.3 7.5 4.9 5.3 2.4



9.1 4.3 5.8 4.6 5.8 (D) 8.3 (D) (D) (D) 10.2 5.2 (D) (D) 8.8 10.3 (D) 9.5 9.5 7.0 7.0 (NA) (D) 7.9 (D) 12.7 5.6 (D) (NA) 6.0 (D) 8.5 7.4 8.1 8.0 8.0 10.5 5.9 11.9 10.8 8.0 6.3 4.1 14.6 17.2 17.2 13.2 13.2 (NA) 6.6 9.8 (D) (D) 6.1 (D) (D) (D) 2.3 9.9 9.9 12.3 12.3 (NA) (D) 11.8 7.1 10.3 10.3 13.3 13.3 (NA) (D) 15.8 11.5 12.6 4.5



12.9 10.0 11.3 8.1 21.2 14.3 22.4 19.2 25.5 28.6 17.3 23.1 16.9 24.6 10.4 18.6 19.6 16.7 16.7 34.5 34.5 26.8 16.6 15.5 21.0 38.4 12.2 32.1 17.9 32.8 24.4 24.4 18.0 12.9 27.1 27.1 21.9 33.6 17.9 14.9 34.0 9.8 19.2 21.2 20.1 20.1 15.8 15.8 19.8 9.0 20.7 54.7 15.0 22.8 20.6 29.7 11.0 35.3 19.2 19.2 16.9 16.9 15.4 20.3 15.1 14.9 18.4 18.4 14.3 14.3 13.7 22.9 13.4 19.6 20.3 15.2



Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . Lee County, AL. . . . . . . . . . . . . . . . . . . . . . . . Augusta-Richmond County, GA-SC . Burke County, GA . . . . . . . . . . . Columbia County, GA . . . . . . . . McDuffie County, GA . . . . . . . . . Richmond County, GA . . . . . . . . Aiken County, SC . . . . . . . . . . . Edgefield County, SC . . . . . . . . Austin-Round Rock, TX. . . . . . . . . Bastrop County, TX . . . . . . . . . . Caldwell County, TX . . . . . . . . . Hays County, TX . . . . . . . . . . . Travis County, TX . . . . . . . . . . . Williamson County, TX. . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Kern County, CA. . . . . . . . . . . . Baltimore-Towson, MD . . . . . . . . . Anne Arundel County, MD . . . . . Baltimore County, MD . . . . . . . . Carroll County, MD . . . . . . . . . . Harford County, MD . . . . . . . . . Howard County, MD . . . . . . . . . Queen Anne’s County, MD . . . . . Baltimore city, MD. . . . . . . . . . . Bangor, ME . . . . . . . . . . . . . . . . Penobscot County, ME . . . . . . . Barnstable Town, MA . . . . . . . . . . Barnstable County, MA . . . . . . . Baton Rouge, LA . . . . . . . . . . . . . Ascension Parish, LA . . . . . . . . East Baton Rouge Parish, LA . . . East Feliciana Parish, LA . . . . . . Iberville Parish, LA . . . . . . . . . . Livingston Parish, LA. . . . . . . . . Pointe Coupee Parish, LA . . . . . St. Helena Parish, LA . . . . . . . . West Baton Rouge Parish, LA. . . West Feliciana Parish, LA . . . . . Battle Creek, MI . . . . . . Calhoun County, MI. . . Bay City, MI . . . . . . . . . Bay County, MI. . . . . . Beaumont-Port Arthur, TX Hardin County, TX . . . Jefferson County, TX . . Orange County, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Bellingham, WA. . . . . . . . Whatcom County, WA . . Bend, OR . . . . . . . . . . . . Deschutes County, OR . Billings, MT. . . . . . . . . . . Carbon County, MT . . . . Yellowstone County, MT . Binghamton, NY . . . . . . . Broome County, NY . . . Tioga County, NY . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



229



Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance (NA) (D) (D) (D) 13.0 6.5 6.6 (D) (NA) 17.8 (D) (NA) (D) 5 7.8 (D) (5) (NA) (D) 12.1 5.4 8.8 8.8 (NA) 9.9 (D) 10.4 (D) 3.2 9.6 11.3 9.0 12.7 12.0 7.1 7.1 11.8 11.8 8.5 7.6 11.5 6.7 6.7 (NA) (D) 12.4 8.1 8.1 7.4 7.4 17.3 17.3 (NA) (D) 8.9 4.3 10.8 10.9 10.4 10.4 10.4 (NA) 12.2 11.2 (D) (NA) (D) 13.3 9.4 9.4 7.6 7.6 11.4 11.4 Government and government enterprises 13.8 30.5 18.3 18.8 13.8 18.3 9.4 17.6 21.5 22.5 16.4 29.0 13.3 5 35.7 13.9 (5) 29.3 26.9 30.4 18.0 12.7 12.7 14.3 14.0 41.2 14.2 27.8 20.5 10.1 10.9 8.1 17.1 11.0 8.4 8.4 12.0 12.0 11.1 8.3 21.2 14.1 14.1 16.9 51.2 16.0 54.5 54.5 6.7 6.7 27.0 27.0 26.2 29.3 25.8 29.0 17.8 17.6 18.8 9.8 9.8 15.8 14.6 23.2 26.6 12.0 12.5 12.0 15.4 15.4 36.4 36.4 13.5 13.5



2002 Birmingham-Hoover, AL Bibb County, AL . . . . Blount County, AL . . . Chilton County, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,651 395 1,123 857 21,777 1,540 5,353 1,606 2,658 2,079 579 3,262 363 5 2,050 849 (5) 4,182 752 2,939 491 4,798 4,798 14,397 10,892 157 2,824 308 217 188,418 77,391 31,469 17,548 28,374 68,485 68,485 28,204 28,204 14,339 11,098 3,241 11,281 11,281 2,574 198 2,377 7,570 7,570 53,433 53,433 5,697 5,697 2,616 290 2,111 215 33,076 27,537 5,539 3,587 3,587 6,474 5,066 1,195 213 11,061 669 10,392 15,009 15,009 1,774 1,774 2,294 2,294



2001 31,494 378 1,108 829 21,006 1,486 5,138 1,548 2,571 1,999 572 3,145 353 5 1,971 821 (5) 4,048 731 2,841 477 4,619 4,619 13,976 10,561 150 2,747 307 211 188,380 76,863 31,510 17,193 28,160 69,184 69,184 28,150 28,150 14,183 10,982 3,200 12,084 12,084 2,463 191 2,272 7,159 7,159 54,393 54,393 5,340 5,340 2,497 275 2,019 203 32,169 26,767 5,402 3,524 3,524 6,328 4,958 1,162 208 10,791 652 10,139 14,295 14,295 1,721 1,721 2,220 2,220



2000 29,898 353 1,023 782 20,130 1,387 4,758 1,464 2,435 1,876 559 3,040 348 5 1,887 805 (5) 3,956 700 2,796 460 4,410 4,410 13,416 10,156 145 2,624 295 196 182,380 73,221 30,494 16,413 26,314 68,074 68,074 27,302 27,302 13,784 10,726 3,058 11,825 11,825 2,455 185 2,270 6,853 6,853 52,190 52,190 5,023 5,023 2,411 260 1,959 192 31,806 26,426 5,380 3,431 3,431 6,026 4,739 1,091 196 10,749 635 10,114 12,875 12,875 1,684 1,684 2,257 2,257



2002 30,661 18,800 21,169 21,185 33,057 22,873 34,819 22,766 27,649 29,305 22,983 21,399 21,463 5 20,392 24,258 (5) 23,633 22,714 24,212 21,862 30,892 30,892 28,878 34,072 22,309 19,432 19,753 19,799 42,436 42,353 48,081 36,214 41,227 46,499 46,499 38,309 38,309 35,518 38,592 27,906 40,474 40,474 24,242 16,728 25,183 31,740 31,740 59,727 59,727 16,126 16,126 27,409 19,114 30,459 19,599 28,489 29,208 25,381 26,459 26,459 31,981 34,103 25,663 29,105 27,185 22,878 27,519 31,562 31,562 32,522 32,522 34,018 34,018



2000 28,386 17,727 19,974 19,656 30,408 21,308 32,919 20,715 25,675 26,984 22,080 20,078 20,814 5 18,950 22,926 (5) 22,501 21,082 23,162 21,006 29,229 29,229 28,622 33,518 21,538 19,715 19,377 18,371 41,435 40,326 46,824 34,595 38,134 46,339 46,339 37,635 37,635 35,218 38,483 27,140 40,364 40,364 23,502 15,830 24,467 29,472 29,472 58,998 58,998 14,915 14,915 25,851 17,682 28,949 17,639 27,209 27,836 24,501 26,102 26,102 30,206 32,243 23,931 28,299 26,412 21,990 26,750 29,011 29,011 32,049 32,049 33,911 33,911



Percent change,2 2000– 2002 9.2 11.9 9.8 9.5 8.2 11.0 12.5 9.7 9.2 10.8 3.5 7.3 4.4 5 8.6 5.5 (5) 5.7 7.4 5.1 6.8 8.8 8.8 7.3 7.3 8.3 7.6 4.3 10.3 3.3 5.7 3.2 6.9 7.8 0.6 0.6 3.3 3.3 4.0 3.5 6.0 (X) (X) 4.9 7.1 4.7 10.5 10.5 2.4 2.4 13.4 13.4 8.5 11.5 7.8 11.7 4.0 4.2 2.9 4.5 4.5 7.4 6.9 9.5 8.4 2.9 5.4 2.8 16.6 16.6 5.3 5.3 1.7 1.7



Manufacturing 9.7 9.7 14.5 15.4 8.5 19.8 17.3 6.5 7.8 6.0 17.3 26.2 38.6 5 19.6 42.7 (5) 15.8 5.9 15.5 36.0 10.8 10.8 18.0 17.9 4.3 20.6 3.0 4.7 11.4 5.6 10.3 7.8 3.2 15.5 15.5 22.1 22.1 14.0 13.0 17.9 17.9 17.9 21.5 (D) 22.1 1.5 1.5 12.0 12.0 9.8 9.8 11.5 7.1 12.4 1.6 20.0 18.2 31.7 24.0 24.0 21.3 21.8 19.3 2.8 26.5 27.8 26.5 4.8 4.8 10.8 10.8 5.8 5.8



Retail trade 7.5 7.9 11.1 13.3 7.0 10.2 8.1 13.8 8.7 8.5 9.7 7.1 8.5 5 7.4 5.5 (5) 7.5 9.9 7.3 7.1 5.8 5.8 7.6 7.3 4.6 9.3 8.4 4.1 5.3 4.4 7.7 9.1 2.1 4.9 4.9 7.6 7.6 10.3 10.6 9.2 5.6 5.6 8.6 6.8 8.6 7.1 7.1 5.8 5.8 9.0 9.0 8.6 5.9 8.6 12.0 6.5 6.4 7.5 7.9 7.9 8.2 7.9 10.2 8.4 8.9 7.5 8.9 12.4 12.4 9.3 9.3 7.6 7.6



Professional and technical services (NA) 3.1 2.9 (D) 10.4 (D) 9.1 5.6 5.3 5.7 2.7 (NA) (D) (D) 2.2 (5) 4.4 7.3 4.2 2.7 3.6 3.6 (NA) 8.0 (D) 3.8 (D) 1.1 14.6 12.8 10.0 8.1 15.0 19.3 19.3 9.8 9.8 8.7 9.7 5.1 18.1 18.1 4.0 2.5 4.0 5.3 5.3 12.8 12.8 3.6 3.6 (NA) (D) 4.2 (D) 7.0 7.6 3.3 4.6 4.6 8.5 9.3 2.9 8.1 (NA) (D) 4.6 6.7 6.7 5.5 5.5 5.5 5.5



Jefferson County, AL . . . . . . . . . . . . . . . St. Clair County, AL. . . . . . . . . . . . . . . . Shelby County, AL . . . . . . . . . . . . . . . . Walker County, AL . . . . . . . . . . . . . . . . Bismarck, ND . . . . . . . . . . . . . . . . . . . . . Burleigh County, ND . . . . . . . . . . . . . . . Morton County, ND . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA . . . . Giles County, VA . . . . . . . . . . . . . . . . . Montgomery County, VA. . . . . . . . . . . . . Pulaski County, VA . . . . . . . . . . . . . . . . Radford city, VA . . . . . . . . . . . . . . . . . . Bloomington, IN. . . . . . . . . . . . . . . . . . . . Greene County, IN . . . . . . . . . . . . . . . . Monroe County, IN . . . . . . . . . . . . . . . . Owen County, IN . . . . . . . . . . . . . . . . . Bloomington-Normal, IL. . . . . . . . . . . . . . . McLean County, IL . . . . . . . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . . . . . . Ada County, ID. . . . . . . . . . . . . . . . . . . Boise County, ID. . . . . . . . . . . . . . . . . . Canyon County, ID . . . . . . . . . . . . . . . . Gem County, ID . . . . . . . . . . . . . . . . . . Owyhee County, ID . . . . . . . . . . . . . . . . Boston-Cambridge-Quincy, MA-NH . . . . . Boston-Quincy, MA . . . . . . . . . . . . . . . . Norfolk County, MA . . . . . . . . . . . . . . Plymouth County, MA . . . . . . . . . . . . . Suffolk County, MA . . . . . . . . . . . . . . Cambridge-Newton-Framingham, MA . . . . Middlesex County, MA . . . . . . . . . . . . Essex County, MA . . . . . . . . . . . . . . . . Essex County, MA . . . . . . . . . . . . . . . Rockingham County-Strafford County, NH . Rockingham County, NH . . . . . . . . . . . Strafford County, NH . . . . . . . . . . . . . Boulder, CO3 . . . . . . . . . . . . . . . . . . . . . Boulder County, CO3 . . . . . . . . . . . . . . . Bowling Green, KY. . . . . . . . . . . . . . . . . . Edmonson County, KY. . . . . . . . . . . . . . Warren County, KY . . . . . . . . . . . . . . . . Bremerton-Silverdale, WA . . . . . . . . . . . . . Kitsap County, WA . . . . . . . . . . . . . . . . Bridgeport-Stamford-Norwalk, CT . . . . . . . . Fairfield County, CT . . . . . . . . . . . . . . . Brownsville-Harlingen, TX . . . . . . . . . . . . . Cameron County, TX . . . . . . . . . . . . . . . Brunswick, GA . . . . . . . . . . . . . . . . . . . . Brantley County, GA . . . . . . . . . . . . . . . Glynn County, GA . . . . . . . . . . . . . . . . . McIntosh County, GA. . . . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . . . . . . . . . . Erie County, NY . . . . . . . . . . . . . . . . . . Niagara County, NY . . . . . . . . . . . . . . . Burlington, NC. . . . . . . . . . . . . . . . . . . . . Alamance County, NC . . . . . . . . . . . . . . Burlington-South Burlington, VT Chittenden County, VT. . . . . Franklin County, VT. . . . . . . Grand Isle County, VT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . Carroll County, OH . . . . . . . . . . . . . . . . . . . . . Stark County, OH . . . . . . . . . . . . . . . . . . . . . . Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . Lee County, FL. . . . . . . . . . . . . . . . . . . . . . . . Carson City, NV. . . . . Carson City, NV . . . Casper, WY . . . . . . . Natrona County, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



230



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance (NA) (D) (D) 9.4 (NA) 11.6 11.8 (D) (NA) (D) 6.6 14.9 10.0 (D) 8.6 3.7 9.6 7.4 6.0 5.0 6.3 12.1 5.2 4.6 9.2 (NA) 6 8.5 (D) (D) 4.4 (6) (NA) 16.6 2.0 (D) 8.7 (D) 7.2 6.7 6.7 7.8 7.7 7.9 10.3 6.4 6.8 8.6 2.6 8.5 8.3 (NA) (D) 13.1 2.2 8.0 6.6 6.2 10.5 15.6 15.6 (NA) 6.5 (D) 3.6 3.4 5.4 11.8 (D) 8.7 14.2 6.2 (D) 9.8 8.0 10.8 5.5 (NA) 4.0 (D) 10.4 3.2 Government and government enterprises 11.0 21.7 23.5 10.0 34.2 35.5 15.7 20.5 18.2 14.9 24.7 18.9 38.3 12.1 26.4 20.4 28.5 18.0 10.2 25.0 16.7 12.4 8.7 13.3 14.4 32.5 6 33.5 29.8 19.2 19.0 (6) 16.2 12.9 17.8 20.3 16.2 15.9 19.4 40.2 40.2 11.7 11.4 11.7 29.8 7.1 9.6 14.3 13.9 12.2 15.7 13.7 15.0 13.4 20.0 14.2 14.2 14.0 16.1 21.9 21.9 12.3 15.8 23.6 15.0 7.0 28.1 19.9 15.7 20.1 19.0 23.9 30.0 15.1 12.5 10.9 13.4 48.5 68.1 20.6 19.4 52.5



2002 Cedar Rapids, IA . . . Benton County, IA. Jones County, IA . Linn County, IA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,329 692 455 6,183 5,862 4,967 403 492 8,654 506 158 6,233 370 1,387 15,176 3,223 9,613 2,340 46,512 558 4,155 5,242 28,332 3,654 4,570 5,755 6 4,452 530 385 388 (6) 13,333 1,303 338 1,378 9,454 625 236 2,570 2,570 329,814 275,389 189,054 2,419 41,663 1,191 13,434 1,884 9,299 16,445 18,740 777 12,987 326 4,650 35,686 31,253 4,432 4,999 4,999 64,769 1,343 617 142 2,781 176 2,479 163 498 4,600 303 990 9,996 5,431 29,845 5,402 5,802 1,666 324 3,548 263



2001 7,254 682 451 6,120 5,684 4,791 399 495 8,409 483 153 6,064 354 1,355 14,433 3,046 9,167 2,220 44,965 569 3,986 5,115 27,267 3,605 4,424 5,576 6 4,318 512 370 376 (6) 12,991 1,261 326 1,325 9,237 612 231 2,425 2,425 325,965 272,407 187,092 2,384 41,472 1,138 13,210 1,848 9,097 16,166 18,618 773 12,895 321 4,629 34,941 30,649 4,291 4,783 4,783 62,996 1,305 599 139 2,691 174 2,416 159 481 4,463 296 971 9,754 5,272 29,014 5,262 5,520 1,581 310 3,375 253



2000 7,112 648 437 6,027 5,447 4,579 381 487 8,024 493 142 5,746 343 1,299 13,933 2,884 8,924 2,125 43,120 531 3,871 5,026 26,104 3,289 4,299 5,333 6 4,162 470 340 361 (6) 12,863 1,201 316 1,335 9,186 607 219 2,293 2,293 318,439 265,916 182,394 2,327 41,923 1,090 12,507 1,720 8,731 15,224 18,386 759 12,756 315 4,555 34,137 29,976 4,161 4,571 4,571 61,393 1,273 565 134 2,588 177 2,355 161 477 4,428 302 934 9,547 5,177 28,330 4,946 5,305 1,526 295 3,245 240



2002 30,341 26,509 22,415 31,677 27,294 26,947 28,485 30,192 28,230 19,705 15,202 31,821 16,611 26,501 26,965 22,225 30,361 23,134 33,083 22,066 29,733 27,173 38,556 26,227 26,300 32,053 6 35,254 23,845 23,603 26,344 (6) 27,603 23,086 21,463 22,201 30,572 22,496 20,026 30,949 30,949 35,583 35,493 35,224 26,208 45,214 30,767 30,394 30,530 33,507 29,461 27,501 25,331 26,730 22,701 30,892 43,076 46,343 28,775 23,944 23,944 31,804 28,438 27,418 24,661 29,703 20,887 28,049 20,828 21,195 30,332 20,445 22,815 29,415 29,638 35,883 30,955 24,716 23,444 25,419 25,689 20,560



2000 29,910 25,580 21,610 31,354 25,870 25,446 26,772 29,746 25,934 19,329 13,716 28,777 15,522 25,110 25,316 20,171 28,725 21,973 32,187 21,035 29,280 26,364 37,279 26,175 25,945 30,513 6 33,370 23,236 22,154 24,938 (6) 26,958 22,376 20,810 21,835 29,825 21,852 19,180 28,057 28,057 34,921 34,790 33,920 26,053 46,238 28,936 30,681 31,156 33,371 29,955 27,175 25,141 26,323 21,672 30,939 42,743 46,217 27,728 22,430 22,430 30,477 27,476 25,427 23,789 29,740 21,302 26,562 20,487 21,158 29,199 20,797 21,945 28,612 28,980 33,564 30,770 22,799 21,137 23,302 23,959 19,300



Percent change,2 2000– 2002 3.1 6.7 4.1 2.6 7.6 8.5 5.9 1.0 7.9 2.7 11.4 8.5 7.6 6.7 8.9 11.8 7.7 10.1 7.9 5.1 7.3 4.3 8.5 11.1 6.3 7.9 6 7.0 12.7 13.0 7.6 (6) 3.7 8.5 6.8 3.3 2.9 3.0 7.7 12.1 12.1 3.6 3.6 3.7 4.0 –0.6 9.3 7.4 9.5 6.5 8.0 1.9 2.4 1.8 3.3 2.1 4.5 4.3 6.5 9.4 9.4 5.5 5.5 9.2 6.0 7.5 (Z) 5.3 1.1 4.5 3.9 0.5 6.0 4.7 4.9 5.4 9.2 9.4 9.2 10.1 9.4 9.4



Manufacturing 21.6 15.0 17.6 22.0 10.8 10.4 17.6 14.3 10.1 0.8 (D) 9.8 1.0 19.0 10.4 28.0 5.5 26.3 14.0 23.5 23.5 34.5 9.7 26.3 20.2 0.1 (D) (D) (D) 4.6 (6) 16.8 15.8 26.5 37.9 15.1 24.6 27.1 4.4 4.4 13.1 11.8 10.7 17.0 11.6 12.1 21.3 32.1 24.1 14.5 22.6 15.1 21.0 31.6 29.1 21.3 20.4 29.8 5.1 5.1 16.2 18.1 11.3 (D) 16.2 (D) 14.2 41.2 21.9 9.4 17.7 12.0 20.2 20.8 15.0 22.8 16.0 12.1 37.2 20.5 15.7



Retail trade 7.5 10.8 10.8 7.2 6.3 6.2 7.3 6.9 6.8 5.3 5.4 7.0 8.2 6.2 8.3 6.6 8.4 9.6 6.4 5.0 9.1 7.8 5.8 6.9 8.2 6.9 6 7.0 4.6 8.1 6.4 (6) 9.5 11.6 11.3 8.2 9.2 15.1 8.0 8.1 8.1 5.6 5.3 4.6 8.7 6.7 5.8 7.1 7.9 8.4 8.2 7.8 9.8 7.9 4.3 7.2 8.1 8.2 7.0 11.0 11.0 6.6 9.1 8.7 3.0 7.5 7.9 8.5 5.2 16.8 5.4 5.3 10.2 7.4 9.8 5.7 10.4 6.5 3.2 8.3 11.6 8.2



Professional and technical services (NA) (D) 3.9 5.5 5.8 5.9 3.0 5.0 (NA) 2.9 (D) 9.7 3.6 7.0 7.7 2.6 8.8 5.5 (NA) (D) 3.2 3.1 8.7 4.0 (D) (NA) 6 8.2 (D) (D) 6.4 (6) (NA) 2.5 3.2 2.9 6.7 (D) 2.4 5.4 5.4 12.8 (NA) 15.1 2.8 12.8 2.5 6.6 (D) 5.5 4.6 (NA) 9.6 3.8 (D) 4.5 8.4 9.0 3.1 6.3 6.3 (NA) 2.2 3.2 (D) 2.9 (D) 6.1 1.4 2.2 7.5 2.0 3.6 4.3 6.3 10.0 7.1 (NA) 2.0 (D) (D) 0.5



Champaign-Urbana, IL . . . . . . . . . . Champaign County, IL . . . . . . . . . Ford County, IL . . . . . . . . . . . . . Piatt County, IL. . . . . . . . . . . . . . Charleston, WV . . . . . . . . . . . . . . . Boone County, WV . . . . . . . . . . . Clay County, WV . . . . . . . . . . . . Kanawha County, WV . . . . . . . . . Lincoln County, WV. . . . . . . . . . . Putnam County, WV . . . . . . . . . . Charleston-North Charleston, SC . . . Berkeley County, SC . . . . . . . . . . Charleston County, SC . . . . . . . . Dorchester County, SC . . . . . . . . Charlotte-Gastonia-Concord, NC-SC . Anson County, NC . . . . . . . . . . . Cabarrus County, NC . . . . . . . . . Gaston County, NC . . . . . . . . . . . Mecklenburg County, NC . . . . . . . Union County, NC . . . . . . . . . . . . York County, SC . . . . . . . . . . . . . Charlottesville, VA . . . . . . . . . . . . . Albemarle County, VA . . . . . . . . . Fluvanna County, VA . . . . . . . . . . Greene County, VA . . . . . . . . . . . Nelson County, VA . . . . . . . . . . . Charlottesville city, VA . . . . . . . . . Chattanooga, TN-GA . . . . . . . . . . . Catoosa County, GA . . . . . . . . . . Dade County, GA . . . . . . . . . . . . Walker County, GA . . . . . . . . . . . Hamilton County, TN . . . . . . . . . . Marion County, TN . . . . . . . . . . . Sequatchie County, TN . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . Laramie County, WY . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI . Chicago-Naperville-Joliet, IL . . . . . Cook County, IL. . . . . . . . . . . . DeKalb County, IL . . . . . . . . . . DuPage County, IL. . . . . . . . . . Grundy County, IL . . . . . . . . . . Kane County, IL. . . . . . . . . . . . Kendall County, IL . . . . . . . . . . McHenry County, IL . . . . . . . . . Will County, IL. . . . . . . . . . . . . Gary, IN . . . . . . . . . . . . . . . . . . Jasper County, IN . . . . . . . . . . Lake County, IN. . . . . . . . . . . . Newton County, IN . . . . . . . . . . Porter County, IN . . . . . . . . . . .



Lake County-Kenosha County, IL-WI . . . . . . . . . Lake County, IL . . . . . . . . . . . . . . . . . . . . . . Kenosha County, WI. . . . . . . . . . . . . . . . . . . Chico, CA. . . . . . . . . . . . . . . . Butte County, CA . . . . . . . . . Cincinnati-Middletown, OH-KY-IN Dearborn County, IN . . . . . . . Franklin County, IN . . . . . . . . Ohio County, IN . . . . . . . . . . Boone County, KY . . . . . . . . Bracken County, KY . . . Campbell County, KY . . Gallatin County, KY . . . . Grant County, KY . . . . . Kenton County, KY . . . . Pendleton County, KY . . Brown County, OH . . . . Butler County, OH. . . . . Clermont County, OH . . Hamilton County, OH. . . Warren County, OH . . . . Clarksville, TN-KY . . . . . . Christian County, KY . . . Trigg County, KY . . . . . Montgomery County, TN Stewart County, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



231



Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance (NA) (D) 8.5 10.7 11.1 7.4 9.0 10.3 8.6 10.4 10.4 (NA) 10.9 (D) 6.5 7.1 7.1 3.0 (NA) 10.9 (D) (NA) (D) (D) 4.9 6.5 10.2 (D) 7.9 (NA) (D) (D) 4.8 10.1 7.2 7.2 (NA) 5.5 9.9 9.3 9.9 12.1 (D) (D) 1.9 11.9 5.4 13.0 4.7 10.7 10.7 (NA) 18.6 (D) 7.4 7.2 6.9 7.1 10.1 8.7 6.3 5.9 8.0 13.7 (NA) 8.8 5.6 8.4 (D) 7.0 3.3 7.7 10.0 10.0 12.1 7 12.1 (7) (NA) 9.1 (D) 8.3 12.7 Government and government enterprises 11.7 10.9 25.4 13.7 13.6 11.1 12.9 17.2 13.0 19.4 19.4 37.7 39.2 22.2 23.8 27.6 27.8 16.5 36.8 37.1 21.5 25.5 16.4 18.6 16.0 16.5 30.0 22.3 32.7 18.7 94.9 20.1 19.7 23.1 11.3 11.3 16.2 10.5 23.7 16.2 15.5 22.5 25.8 28.1 8.4 23.0 17.0 21.4 37.2 27.0 27.0 24.5 25.0 22.3 9.6 9.0 9.8 7.9 27.3 19.0 14.8 23.2 21.1 12.7 11.6 15.8 20.1 11.2 16.0 9.4 12.8 8.8 23.4 23.4 15.5 7 15.5 (7) 16.7 21.4 32.0 21.6 10.1



2002 Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . Bradley County, TN . . . . . . . . . . . . . . . . . . . . . Polk County, TN . . . . . . . . . . . . . . . . . . . . . . . Cleveland-Elyria-Mentor, OH . Cuyahoga County, OH . . . . Geauga County, OH . . . . . Lake County, OH . . . . . . . Lorain County, OH . . . . . . Medina County, OH. . . . . . Coeur d’Alene, ID . . . . . . . . Kootenai County, ID . . . . . College Station-Bryan, TX . . . Brazos County, TX . . . . . . Burleson County, TX . . . . . Robertson County, TX . . . . Colorado Springs, CO. . . . . . El Paso County, CO . . . . . Teller County, CO . . . . . . . Columbia, MO . . . . . . . . . . . Boone County, MO . . . . . . Howard County, MO . . . . . Columbia, SC . . . . . . . . . . . Calhoun County, SC . . . . . Fairfield County, SC . . . . . Kershaw County, SC . . . . . Lexington County, SC . . . . Richland County, SC . . . . . Saluda County, SC . . . . . . Columbus, GA-AL . . . . . . . . Russell County, AL . . . . . . Chattahoochee County, GA Harris County, GA. . . . . . . Marion County, GA . . . . . . Muscogee County, GA . . . . Columbus, IN . . . . . . . . . . . Bartholomew County, IN. . . Columbus, OH . . . . . . . . . . Delaware County, OH . . . . Fairfield County, OH . . . . . Franklin County, OH . . . . . Licking County, OH . . . . . . Madison County, OH . . . . . Morrow County, OH. . . . . . Pickaway County, OH . . . . Union County, OH. . . . . . . Corpus Christi, TX . . . . . . . . Aransas County, TX . . . . . Nueces County, TX . . . . . . San Patricio County, TX . . . Corvallis, OR . . . . . . . . . . . Benton County, OR . . . . . . Cumberland, MD-WV . . . . . . Allegany County, MD . . . . . Mineral County, WV . . . . . Dallas-Fort Worth-Arlington, Dallas-Plano-Irving, TX . . . Collin County, TX. . . . . . Dallas County, TX . . . . . Delta County, TX . . . . . . Denton County, TX. . . . . Ellis County, TX. . . . . . . Hunt County, TX . . . . . . Kaufman County, TX . . . Rockwall County, TX . . . Fort Worth-Arlington, TX . . Johnson County, TX . . . . Parker County, TX . . . . . Tarrant County, TX . . . . . Wise County, TX . . . . . . ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... TX . ... ... ... ... ... ... ... ... ... ... ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,655 2,302 353 69,060 45,866 3,507 7,059 7,768 4,859 2,761 2,761 3,976 3,255 368 353 16,895 16,256 639 4,131 3,894 237 18,385 360 503 1,353 6,452 9,301 416 7,410 1,034 261 792 156 5,168 2,172 2,172 53,061 5,336 3,716 35,729 4,108 1,062 741 1,194 1,175 10,163 579 8,152 1,433 2,399 2,399 2,264 1,681 583 185,167 130,174 23,231 82,527 106 15,444 3,276 1,875 1,941 1,775 54,993 3,348 2,666 47,785 1,193 3,083 788 2,295 1,870 1,870 2,470 7 2,470 (7) 10,644 1,357 436 4,079 4,772



2001 2,587 2,240 347 68,364 45,378 3,475 6,987 7,750 4,772 2,639 2,639 3,842 3,143 356 343 16,534 15,910 624 3,989 3,758 231 17,844 355 488 1,295 6,270 9,021 416 7,159 1,016 249 766 154 4,974 2,126 2,126 51,420 5,103 3,611 34,589 4,030 1,041 730 1,190 1,128 9,771 557 7,851 1,364 2,334 2,334 2,167 1,604 563 182,207 128,432 23,078 81,281 103 15,294 3,177 1,836 1,907 1,754 53,776 3,262 2,582 46,785 1,147 2,972 756 2,216 1,842 1,842 2,391 7 2,391 (7) 10,411 1,340 430 3,994 4,647



2000 2,333 2,004 328 67,935 45,277 3,397 6,943 7,646 4,672 2,521 2,521 3,673 3,006 350 317 15,990 15,373 617 3,846 3,623 223 17,429 339 472 1,234 6,268 8,713 403 6,740 965 236 727 138 4,674 2,183 2,183 49,770 4,686 3,467 33,798 3,918 957 691 1,152 1,101 9,348 544 7,499 1,306 2,259 2,259 2,100 1,557 543 176,530 125,748 22,708 80,217 102 14,507 3,009 1,766 1,819 1,620 50,782 3,088 2,549 44,068 1,076 2,869 734 2,136 1,807 1,807 2,364 7 2,364 (7) 10,173 1,303 416 3,984 4,469



2002 25,149 25,733 21,902 32,244 33,382 37,868 30,860 26,964 30,685 24,164 24,164 21,028 20,806 21,957 22,236 29,892 29,903 29,604 27,658 27,947 23,644 27,730 23,632 21,078 25,171 28,981 28,318 21,816 25,899 20,978 13,525 31,554 21,678 27,892 30,261 30,261 32,043 42,419 28,786 32,947 27,631 26,313 22,484 23,110 27,349 25,119 25,094 25,961 21,215 30,421 30,421 22,377 22,703 21,487 33,816 35,506 40,831 36,289 19,553 31,603 27,294 23,424 24,892 34,825 30,391 24,677 28,180 31,307 22,563 24,609 20,400 26,485 22,484 22,484 22,660 7 22,660 (7) 28,384 26,912 25,613 27,469 30,000



2000 22,372 22,732 20,401 31,626 32,524 37,236 30,500 26,809 30,766 23,014 23,014 19,814 19,675 21,126 19,790 29,603 29,593 29,841 26,339 26,671 21,916 26,855 22,220 20,049 23,358 28,906 27,114 20,992 23,887 19,411 15,741 30,543 19,226 25,065 30,450 30,450 30,740 41,940 28,092 31,535 26,824 23,790 21,729 21,805 26,725 23,183 24,122 23,926 19,409 28,907 28,907 20,619 20,813 20,083 33,973 36,187 45,410 36,047 18,997 33,060 26,757 22,942 25,219 36,948 29,504 24,121 28,552 30,299 21,769 23,735 19,933 25,398 21,563 21,563 21,488 7 21,488 (7) 27,066 25,529 24,540 26,717 28,158



Percent change,2 2000– 2002 13.8 14.9 7.4 1.7 1.3 3.2 1.7 1.6 4.0 9.5 9.5 8.3 8.3 5.2 11.4 5.7 5.7 3.6 7.4 7.5 6.3 5.5 6.2 6.6 9.6 2.9 6.8 3.4 9.9 7.1 10.5 8.9 12.6 10.6 –0.5 –0.5 6.6 13.9 7.2 5.7 4.9 11.0 7.2 3.6 6.7 8.7 6.4 8.7 9.7 6.2 6.2 7.8 8.0 7.3 4.9 3.5 2.3 2.9 4.2 6.5 8.9 6.2 6.7 9.5 8.3 8.4 4.6 8.4 10.9 7.4 7.4 7.5 3.5 3.5 4.5 7 4.5 (7) 4.6 4.1 4.7 2.4 6.8



Manufacturing 30.5 31.5 13.8 18.5 15.3 30.3 30.3 31.8 20.7 8.9 8.9 7.4 7.0 8.1 14.6 (NA) 10.8 (D) 7.4 7.2 16.7 11.3 41.9 30.2 35.6 16.3 6.1 31.5 (NA) 32.7 (D) 16.2 37.0 12.3 43.1 43.1 12.2 10.3 18.3 8.7 19.1 32.2 24.3 35.4 58.6 10.3 3.8 9.5 18.3 26.3 26.3 16.4 14.0 26.4 (NA) 12.4 14.6 11.6 (D) 12.4 36.8 29.8 20.0 8.8 16.1 21.3 8.5 16.2 11.9 42.1 48.9 40.8 21.9 21.9 33.6 7 33.6 (7) 16.7 10.7 10.6 15.6 18.9



Retail trade 7.2 6.6 17.0 6.2 5.6 6.3 8.7 7.7 9.3 11.4 11.4 7.8 7.8 9.8 5.2 7.1 7.1 7.0 7.8 7.8 7.5 7.6 5.1 8.6 6.9 10.5 6.7 6.1 6.2 9.6 0.6 5.4 5.1 6.9 5.2 5.2 8.3 8.9 9.4 8.3 11.6 6.5 7.6 6.4 2.8 7.8 13.5 8.0 5.1 4.7 4.7 8.7 8.6 9.4 7.2 6.9 8.8 6.3 6.0 11.0 8.5 9.0 11.6 11.5 8.3 12.0 12.9 8.0 10.9 6.3 5.4 6.5 6.9 6.9 8.8 7 8.8 (7) 7.6 10.0 7.6 5.7 9.3



Professional and technical services 3.2 3.3 1.2 9.6 11.0 4.9 6.2 3.0 6.8 6.2 6.2 (NA) 6.9 (D) 1.4 11.0 11.1 5.3 (NA) 3.8 (D) (NA) 2.2 (D) (D) (D) 8.3 0.7 (NA) 2.7 0.2 (D) 1.1 7.5 4.1 4.1 (NA) 13.3 5.0 10.2 (D) 4.6 (D) (D) (D) (NA) (D) 6.8 (D) 6.4 6.4 2.2 2.7 (D) 9.7 (NA) 7.5 12.2 (D) 5.9 (D) 3.4 (D) (D) (NA) (D) 6.2 6.0 (D) (NA) (D) 11.8 3.2 3.2 2.2 7 2.2 (7) (NA) 3.2 2.4 (D) 5.9



Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . Murray County, GA . . . . . . . . . . . . . . . . . . . . . Whitfield County, GA . . . . . . . . . . . . . . . . . . . . Danville, IL . . . . . . . . . . . . . . . . . Vermilion County, IL . . . . . . . . . Danville, VA . . . . . . . . . . . . . . . . Pittsylvania County, VA . . . . . . . Danville city, VA . . . . . . . . . . . . Davenport-Moline-Rock Island, IA-IL Henry County, IL. . . . . . . . . . . . Mercer County, IL . . . . . . . . . . . Rock Island County, IL. . . . . . . . Scott County, IA . . . . . . . . . . . . See footnotes at end of table. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



232



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U.S. Census Bureau



Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance 11.0 5.5 9.4 12.7 4.5 (NA) (D) 7.4 10.8 10.8 15.3 15.3 (NA) 5.7 7.0 1.9 (D) 7.3 3.8 (D) (D) 7.9 (D) (NA) 10.1 (D) (D) 9.7 9.8 8.6 9.4 9.4 8.1 4.4 5.4 7.2 8.4 13.4 (NA) 4.1 (D) 15.5 9.2 9.2 14.5 14.5 (NA) (D) 18.5 (D) 11.1 8.5 13.1 4.9 8.0 14.3 9.9 16.2 4.0 4.0 (NA) 6.7 (D) 6.6 6.6 14.5 14.5 10.2 10.2 14.4 14.4 12.6 12.6 Government and government enterprises 20.4 48.5 12.5 14.7 17.8 14.5 18.4 13.9 10.1 10.1 16.5 16.5 12.3 12.6 7.6 2.4 17.5 14.5 11.3 20.7 6.6 15.8 28.0 13.3 14.8 23.4 21.1 12.8 22.0 10.1 13.2 13.2 8.0 21.2 11.6 11.5 6.0 15.7 16.6 20.5 14.2 16.3 39.8 39.8 8.1 8.1 21.8 28.9 21.2 19.3 17.9 11.4 9.1 51.9 17.0 16.2 16.1 16.3 35.7 35.7 45.7 46.7 22.8 6.3 6.3 21.6 21.6 27.6 27.6 13.9 13.9 19.3 19.3



2002 Dayton, OH . . . . . . . . . . Greene County, OH. . . . Miami County, OH. . . . . Montgomery County, OH Preble County, OH . . . . Decatur, AL . . . . . . . . . . Lawrence County, AL. . . Morgan County, AL . . . . Decatur, IL . . . . . . . . . . . Macon County, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25,190 4,500 2,797 16,884 1,009 3,642 715 2,927 3,157 3,157 11,380 11,380 86,526 10,205 21,993 1,321 356 22,585 8,289 673 175 20,477 453 16,434 1,413 298 395 13,188 1,140 152,800 56,477 56,477 96,323 2,496 5,851 26,282 57,033 4,660 3,358 579 372 2,407 3,286 3,286 2,442 2,442 7,437 830 5,573 1,035 13,903 1,890 7,211 3,937 866 4,010 1,441 2,568 2,973 2,973 2,766 2,439 327 5,145 5,145 2,230 2,230 13,992 13,992 7,095 7,095 8,647 8,647



2001 24,689 4,362 2,775 16,551 1,001 3,635 739 2,896 3,169 3,169 10,865 10,865 85,894 10,294 22,036 (X) 351 22,655 8,446 668 174 20,816 454 15,782 1,358 288 378 12,666 1,092 151,682 56,507 56,507 95,175 2,463 5,764 25,934 56,443 4,571 3,240 571 354 2,315 3,088 3,088 2,362 2,362 7,154 788 5,365 1,000 13,548 1,861 7,030 3,814 843 3,873 1,410 2,463 2,734 2,734 2,702 2,384 319 4,921 4,921 2,203 2,203 13,314 13,314 6,949 6,949 8,435 8,435



2000 24,210 4,272 2,760 16,168 1,011 3,462 696 2,766 3,130 3,130 10,381 10,381 82,196 9,811 21,053 (X) 321 21,746 7,844 626 164 20,198 432 15,219 1,238 273 350 12,299 1,058 151,793 56,660 56,660 95,133 2,481 5,675 26,057 56,335 4,585 3,018 520 324 2,175 3,021 3,021 2,293 2,293 7,000 759 5,260 981 12,997 1,702 6,888 3,583 824 3,804 1,385 2,419 2,530 2,530 2,621 2,304 317 4,871 4,871 2,217 2,217 12,650 12,650 6,888 6,888 8,248 8,248



2002 29,796 29,951 28,076 30,528 23,751 24,884 20,570 26,227 28,094 28,094 24,747 24,747 38,008 27,389 43,109 32,366 37,276 40,448 39,176 30,543 36,124 38,600 28,140 33,129 31,912 26,380 27,437 34,287 27,507 34,129 27,684 27,684 39,524 27,547 34,639 32,571 47,394 27,864 25,462 22,711 22,778 26,728 24,987 24,987 27,294 27,294 26,927 25,503 27,879 23,639 31,435 35,151 30,813 33,375 23,690 26,685 25,655 27,301 20,382 20,382 25,324 25,468 24,295 27,665 27,665 24,558 24,558 20,129 20,129 25,301 25,301 26,416 26,416



2000 28,549 28,825 27,878 28,950 23,869 23,702 19,951 24,878 27,336 27,336 23,329 23,329 37,852 26,729 42,832 (X) 34,445 39,153 43,478 31,125 34,229 38,239 29,434 31,508 30,166 24,052 24,913 32,731 25,941 34,048 27,515 27,515 39,656 28,092 35,809 32,948 47,079 27,836 23,029 20,150 19,795 24,459 23,769 23,769 25,691 25,691 25,404 23,913 26,246 22,611 30,507 34,242 30,675 30,885 23,037 25,595 25,026 25,933 17,753 17,753 24,315 24,411 23,638 26,544 26,544 24,351 24,351 18,556 18,556 24,541 24,541 25,502 25,502



Percent change,2 2000– 2002 4.0 5.3 1.3 4.4 –0.2 5.2 2.8 5.8 0.9 0.9 9.6 9.6 (X) (X) 4.5 (X) 10.9 3.9 5.7 7.4 6.5 (X) 4.7 8.0 14.1 9.3 12.7 7.2 7.8 0.7 –0.3 –0.3 1.3 0.6 3.1 0.9 1.2 1.7 11.2 11.3 15.0 10.7 8.8 8.8 6.5 6.5 6.2 9.3 5.9 5.5 7.0 11.0 4.7 9.9 5.1 5.4 4.1 6.2 17.5 17.5 5.5 5.9 3.2 5.6 5.6 0.6 0.6 10.6 10.6 3.0 3.0 4.8 4.8



Manufacturing 20.5 6.6 34.8 21.5 42.5 36.0 35.8 36.0 29.2 29.2 7.4 7.4 (NA) 11.5 3.4 15.1 (D) 4.7 3.7 2.5 (D) 12.9 3.1 7.2 13.5 6.5 23.9 6.8 7.3 21.6 20.7 20.7 22.1 24.5 24.0 37.6 16.2 20.9 13.7 10.2 24.7 13.0 (NA) (D) 23.7 23.7 8.1 22.9 6.1 8.3 27.2 28.1 33.0 4.2 35.7 17.4 33.5 10.7 4.4 4.4 16.7 16.5 22.0 53.7 53.7 20.5 20.5 12.2 12.2 26.4 26.4 14.8 14.8



Retail trade 6.2 6.8 8.7 5.7 7.3 7.4 7.2 7.4 7.5 7.5 10.9 10.9 5.9 8.5 6.1 7.6 5.0 3.7 11.7 6.6 0.3 7.8 5.6 7.7 6.4 5.3 7.3 7.6 12.9 5.8 5.2 5.2 6.2 9.9 8.1 7.0 5.6 8.7 10.0 8.8 5.3 10.6 7.8 7.8 9.0 9.0 7.6 5.8 7.6 8.8 4.7 7.7 3.8 6.7 8.9 8.5 8.9 8.3 8.4 8.4 7.0 6.9 9.8 4.9 4.9 9.1 9.1 8.2 8.2 8.3 8.3 8.9 8.9



Professional and technical services (NA) 11.0 2.8 8.2 (D) 2.8 1.9 2.9 3.5 3.5 5.9 5.9 (NA) 3.8 13.3 24.2 4.3 12.4 9.7 (D) 0.7 12.8 10.6 6.3 4.4 2.6 3.7 6.5 4.0 13.3 10.1 10.1 15.5 4.0 6.4 6.7 20.0 3.6 (NA) (D) 2.2 3.4 (NA) (D) 4.7 4.7 3.8 2.0 4.3 2.6 (NA) (D) 11.1 7.3 1.6 4.8 2.3 5.8 2.3 2.3 2.5 2.5 2.4 2.5 2.5 3.5 3.5 3.7 3.7 4.0 4.0 6.0 6.0



Deltona-Daytona Beach-Ormond Beach, FL Volusia County, FL . . . . . . . . . . . . . . . Denver-Aurora, CO3 . . . . . . . . . . . . . . . . Adams County, CO3 . . . . . . . . . . . . . . Arapahoe County, CO . . . . . . . . . . . . . Broomfield County, CO3 . . . . . . . . . . . . Clear Creek County, CO . . . . . . . . . . . Denver County, CO . . . . . . . . . . . . . . . Douglas County, CO . . . . . . . . . . . . . . Elbert County, CO. . . . . . . . . . . . . . . . Gilpin County, CO . . . . . . . . . . . . . . . . Jefferson County, CO3 . . . . . . . . . . . . . Park County, CO . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . . . . . . . . . . . Dallas County, IA . . . . . . . . . . . . . . . . Guthrie County, IA . . . . . . . . . . . . . . . Madison County, IA . . . . . . . . . . . . . . . Polk County, IA . . . . . . . . . . . . . . . . . Warren County, IA. . . . . . . . . . . . . . . . Detroit-Warren-Livonia, MI. . . . . . . . . . . Detroit-Livonia-Dearborn, MI . . . . . . . . . Wayne County, MI . . . . . . . . . . . . . . Warren-Farmington Hills-Troy, MI . . . . . . Lapeer County, MI . . . . . . . . . . . . . . Livingston County, MI . . . . . . . . . . . . Macomb County, MI . . . . . . . . . . . . . Oakland County, MI . . . . . . . . . . . . . St. Clair County, MI . . . . . . . . . . . . . Dothan, AL . . . . . . . . . . . . . . . . . . . . . . Geneva County, AL . . . . . . . . . . . . . . . Henry County, AL . . . . . . . . . . . . . . . . Houston County, AL . . . . . . . . . . . . . . Dover, DE . . . . . . . . . . . . . . . . . . . . . . Kent County, DE. . . . . . . . . . . . . . . . . Dubuque, IA . . . . . . . . . . . . . . . . . . . . . Dubuque County, IA . . . . . . . . . . . . . . Duluth, MN-WI . . . . . . . . . . . . . . . . . . . Carlton County, MN. . . . . . . . . . . . . . . St. Louis County, MN. . . . . . . . . . . . . . Douglas County, WI . . . . . . . . . . . . . . Durham, NC . . . . . . . . . . . . . . . . . . . . . Chatham County, NC. . . . . . . . . . . . . . Durham County, NC . . . . . . . . . . . . . . Orange County, NC. . . . . . . . . . . . . . . Person County, NC . . . . . . . . . . . . . . . Eau Claire, WI. . . . . . . . . . . . . . . . . . . . Chippewa County, WI . . . . . . . . . . . . . Eau Claire County, WI . . . . . . . . . . . . . El Centro, CA . . . . . . . . . . . . . . . . . . . . Imperial County, CA . . . . . . . . . . . . . . Elizabethtown, KY . . . . . . . . . . . . . . . . . Hardin County, KY . . . . . . . . . . . . . . . Larue County, KY . . . . . . . . . . . . . . . . Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . Elkhart County, IN. . . . . . . . . . . . . . . . Elmira, NY . . . . . . . . . Chemung County, NY El Paso, TX . . . . . . . . El Paso County, TX. . Erie, PA . . . . . . . . . . . Erie County, PA . . . . Eugene-Springfield, OR Lane County, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



233



Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance (NA) 4.8 (D) 13.9 10.3 10.5 (D) 7.5 7.5 (NA) (D) 13.7 8.3 8.3 (NA) 4.8 (D) (NA) 5.0 (D) 10.9 3.4 13.4 13.4 11.6 11.6 (NA) (D) 11.9 9.1 6.7 11.3 9.8 9.8 8.6 8.6 (NA) 6.1 (D) 14.3 (D) 15.8 6.1 6.1 (NA) 14.2 (D) 6.0 11.9 11.9 18.5 18.5 (NA) 16.6 (D) 12.3 12.3 13.3 16.2 7.2 10.7 10.7 (NA) (D) 14.0 14.9 14.9 9.8 10.6 6.2 10.0 8.9 Government and government enterprises 9.2 7.1 10.1 8.7 11.5 10.9 10.6 46.9 46.9 15.0 27.8 12.8 22.0 22.0 58.3 59.2 30.8 12.0 7.0 15.9 17.3 14.5 33.8 33.8 14.6 14.6 17.4 12.8 19.0 27.3 31.3 23.9 11.5 11.5 19.2 19.2 13.3 12.4 27.1 9.0 28.0 29.4 44.4 44.4 9.7 9.4 12.1 13.2 21.8 21.8 14.7 14.7 37.6 37.5 38.7 12.3 12.3 21.0 13.6 36.2 35.1 35.1 32.7 25.1 34.8 17.6 17.6 9.6 16.7 27.5 8.2 23.0



2002 Evansville, IN-KY . . . . . . . . . . . . . . . . Gibson County, IN. . . . . . . . . . . . . . Posey County, IN . . . . . . . . . . . . . . Vanderburgh County, IN . . . . . . . . . . Warrick County, IN . . . . . . . . . . . . . Henderson County, KY . . . . . . . . . . Webster County, KY . . . . . . . . . . . . Fairbanks, AK . . . . . . . . . . . . . . . . . . Fairbanks North Star Borough, AK . . . Fargo, ND-MN. . . . . . . . . . . . . . . . . . Clay County, MN . . . . . . . . . . . . . . Cass County, ND . . . . . . . . . . . . . . Farmington, NM. . . . . . . . . . . . . . . . . San Juan County, NM . . . . . . . . . . . Fayetteville, NC . . . . . . . . . . . . . . . . . Cumberland County, NC . . . . . . . . . Hoke County, NC . . . . . . . . . . . . . . Fayetteville-Springdale-Rogers, AR-MO . Benton County, AR . . . . . . . . . . . . . Madison County, AR . . . . . . . . . . . . Washington County, AR . . . . . . . . . . McDonald County, MO. . . . . . . . . . . Flagstaff, AZ . . . . . . . . . . . . . . . . . . . Coconino County, AZ. . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Genesee County, MI . . . . . . . . . . . . Florence, SC. . . . . . . . . . . . . . . . . . . Darlington County, SC . . . . . . . . . . . Florence County, SC . . . . . . . . . . . . Florence-Muscle Shoals, AL. . . . . . . . . Colbert County, AL . . . . . . . . . . . . . Lauderdale County, AL. . . . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fond du Lac County, WI . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Larimer County, CO . . . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Crawford County, AR . . . . . . . . . . . . Franklin County, AR . . . . . . . . . . . . Sebastian County, AR . . . . . . . . . . . Le Flore County, OK . . . . . . . . . . . . Sequoyah County, OK . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Okaloosa County, FL . . . . . . . . . . . . Fort Wayne, IN . . . . . . . . . . . . . . . . . Allen County, IN . . . . . . . . . . . . . . . Wells County, IN. . . . . . . . . . . . . . . Whitley County, IN . . . . . . . . . . . . . Fresno, CA . . . . . . . . . . . . . . . . . . . . Fresno County, CA . . . . . . . . . . . . . Gadsden, AL. . . . . . . . . . . . . . . . . . . Etowah County, AL . . . . . . . . . . . . . Gainesville, FL . . . . . . . . . . . . . . . . . Alachua County, FL. . . . . . . . . . . . . Gilchrist County, FL. . . . . . . . . . . . . Gainesville, GA . . . . . . . . . . . . . . . . . Hall County, GA . . . . . . . . . . . . . . . Glens Falls, NY . . . . . . . . . . . . . . . . . Warren County, NY . . . . . . . . . . . . . Washington County, NY . . . . . . . . . . Goldsboro, NC . . . . . . . . . . . . . . . . . Wayne County, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,021 835 767 5,298 1,623 1,141 358 2,561 2,561 5,114 1,268 3,846 2,458 2,458 8,626 7,985 641 9,097 4,427 288 3,946 436 2,943 2,943 11,446 11,446 4,863 1,591 3,272 3,226 1,191 2,035 2,881 2,881 8,296 8,296 6,399 1,088 372 3,219 961 759 5,254 5,254 11,486 9,948 704 833 19,544 19,544 2,365 2,365 5,934 5,612 322 3,795 3,795 3,149 1,795 1,354 2,641 2,641 2,475 751 1,725 3,167 3,167 21,688 1,658 1,347 17,638 1,046



2001 9,717 801 762 5,115 1,567 1,106 366 2,426 2,426 4,896 1,215 3,680 2,365 2,365 8,088 7,471 617 8,636 4,177 283 3,755 420 2,792 2,792 11,270 11,270 4,741 1,558 3,183 3,213 1,179 2,033 2,799 2,799 8,099 8,099 6,253 1,061 370 3,157 939 726 4,871 4,871 11,277 9,755 701 820 18,401 18,401 2,292 2,292 5,720 5,408 312 3,670 3,670 3,040 1,722 1,318 2,567 2,567 2,363 735 1,629 3,010 3,010 21,257 1,628 1,323 17,271 1,035



2000 9,294 768 746 4,860 1,497 1,075 347 2,303 2,303 4,821 1,174 3,647 2,167 2,167 7,823 7,238 586 7,979 3,873 267 3,463 377 2,662 2,662 11,550 11,550 4,486 1,493 2,994 3,113 1,168 1,946 2,700 2,700 7,657 7,657 5,889 1,003 345 2,923 886 731 4,611 4,611 11,211 9,677 716 818 17,628 17,628 2,212 2,212 5,521 5,238 283 3,485 3,485 3,009 1,705 1,303 2,504 2,504 2,309 722 1,587 2,928 2,928 20,818 1,575 1,291 16,938 1,014



2002 29,116 25,555 28,401 30,842 30,240 25,356 25,417 30,081 30,081 28,869 24,470 30,687 20,511 20,511 25,409 26,323 17,739 24,788 26,789 20,112 23,810 20,107 24,543 24,543 25,977 25,977 24,943 23,455 25,738 22,769 21,808 23,372 29,487 29,487 31,420 31,420 23,021 19,798 20,790 27,543 19,776 19,144 29,938 29,938 28,965 29,493 25,300 26,539 23,492 23,492 22,999 22,999 25,033 25,280 21,383 25,040 25,040 25,092 28,020 22,039 23,376 23,376 25,831 24,292 26,563 25,940 25,940 28,659 28,530 21,329 30,068 21,375



2000 27,098 23,596 27,569 28,283 28,486 23,980 24,586 27,832 27,832 27,596 22,872 29,561 18,974 18,974 23,232 23,899 17,269 22,834 25,017 18,651 21,823 17,394 22,820 22,820 26,434 26,434 23,212 22,118 23,798 21,773 21,219 22,119 27,721 27,721 30,272 30,272 21,506 18,795 19,457 25,308 18,408 18,715 26,969 26,969 28,670 29,090 25,916 26,604 21,979 21,979 21,413 21,413 23,712 23,996 19,446 24,741 24,741 24,197 26,923 21,366 22,093 22,093 23,740 23,006 24,090 24,926 24,926 28,026 27,670 20,942 29,395 21,122



Percent change,2 2000– 2002 7.8 8.8 2.7 9.0 8.4 6.2 3.1 11.2 11.2 6.1 8.0 5.5 13.4 13.4 10.3 10.3 9.5 14.0 14.3 8.0 13.9 15.7 10.6 10.6 –0.9 –0.9 8.4 6.6 9.3 3.6 2.0 4.6 6.7 6.7 8.3 8.3 8.7 8.5 7.9 10.1 8.4 3.8 14.0 14.0 2.4 2.8 –1.6 1.9 10.9 10.9 6.9 6.9 7.5 7.1 13.9 8.9 8.9 4.7 5.2 3.9 5.5 5.5 7.2 4.0 8.7 8.1 8.1 4.2 5.3 4.3 4.1 3.1



Manufacturing 26.6 50.9 48.6 18.7 37.0 36.3 11.1 1.4 1.4 8.7 7.4 8.9 3.3 3.3 8.4 7.6 31.9 17.4 15.7 26.7 17.6 38.3 6.8 6.8 28.2 28.2 25.4 39.0 20.6 17.0 19.9 14.4 35.2 35.2 20.2 20.2 23.3 18.9 17.6 27.2 13.8 10.7 3.5 3.5 23.2 21.7 35.2 41.7 8.6 8.6 19.1 19.1 4.3 4.3 4.6 27.0 27.0 16.8 13.1 24.3 14.7 14.7 6.9 14.7 4.7 6.7 6.7 26.4 25.7 27.0 26.5 25.0



Retail trade 6.5 5.1 4.3 7.4 4.7 5.8 4.3 6.3 6.3 8.8 10.6 8.5 8.0 8.0 6.1 6.1 3.5 6.0 4.7 6.5 7.5 7.8 9.4 9.4 7.3 7.3 8.2 6.7 8.7 10.5 9.4 11.5 6.2 6.2 7.6 7.6 7.2 6.5 7.4 6.4 11.2 12.0 7.3 7.3 6.3 6.3 6.0 7.6 7.9 7.9 8.8 8.8 7.2 7.2 7.6 7.3 7.3 9.5 10.8 6.9 7.8 7.8 8.7 6.6 9.3 10.5 10.5 7.1 7.8 8.1 7.0 8.7



Professional and technical services 4.5 2.7 3.9 5.5 3.3 2.1 0.7 3.2 3.2 5.8 3.1 6.3 (NA) 2.6 2.3 2.4 (D) (NA) (D) (D) 4.4 1.1 3.8 3.8 7.8 7.8 4.2 2.4 4.8 (NA) (D) 4.1 2.9 2.9 (NA) 7.7 7.8 2.4 (D) 10.6 (D) 6.3 (NA) 7.4 4.8 5.2 1.9 (D) 4.9 4.9 3.4 3.4 6.4 6.5 1.6 (NA) 3.6 3.4 5.1 (D) 2.2 2.2 3.5 3.4 3.5 5.2 5.2 (NA) (D) 4.3 7.5 4.4



Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . Polk County, MN. . . . . . . . . . . . . . . . . . . . . . . Grand Forks County, ND . . . . . . . . . . . . . . . . . Grand Junction, CO . . . . . . Mesa County, CO . . . . . . Grand Rapids-Wyoming, MI . Barry County, MI. . . . . . . Ionia County, MI . . . . . . . Kent County, MI . . . . . . . Newaygo County, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



234



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance 16.6 16.6 8.2 8.2 (NA) 11.9 3.8 (D) (NA) 10.1 6.4 (D) 10.7 8.8 10.8 (NA) 6.9 (D) 8.0 (NA) (D) 7.6 6.4 (NA) 13.4 10.0 (D) 7.3 7.3 10.5 10.4 10.7 4.7 9.4 9.4 (8) 10.5 10.4 11.8 10.6 15.2 13.8 21.8 5.0 (NA) (D) 12.3 7.4 9.3 (NA) 1.4 (D) 5.1 5.1 9.0 9.0 21.0 21.0 8.0 5.7 9.6 (NA) 3.4 5.0 2.5 6.3 6.6 6.1 (D) 9.2 (D) (D) (NA) 16.7 (D) 10.9 21.8 (D)

8 8



2002 Great Falls, MT . . . . . . . . . . . . . Cascade County, MT . . . . . . . . Greeley, CO3 . . . . . . . . . . . . . . Weld County, CO3. . . . . . . . . . Green Bay, WI . . . . . . . . . . . . . Brown County, WI . . . . . . . . . . Kewaunee County, WI . . . . . . . Oconto County, WI . . . . . . . . . Greensboro-High Point, NC . . . . . Guilford County, NC . . . . . . . . Randolph County, NC . . . . . . . Rockingham County, NC . . . . . Greenville, NC. . . . . . . . . . . . . . Greene County, NC. . . . . . . . . Pitt County, NC . . . . . . . . . . . Greenville, SC. . . . . . . . . . . . . . Greenville County, SC . . . . . . . Laurens County, SC . . . . . . . . Pickens County, SC . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . . Hancock County, MS . . . . . . . . Harrison County, MS . . . . . . . . Stone County, MS. . . . . . . . . . Hagerstown-Martinsburg, MD-WV . Washington County, MD. . . . . . Berkeley County, WV. . . . . . . . Morgan County, WV . . . . . . . . Hanford-Corcoran, CA . . . Kings County, CA . . . . . Harrisburg-Carlisle, PA . . . Cumberland County, PA . Dauphin County, PA . . . Perry County, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,113 2,113 5,000 5,000 8,641 7,210 523 908 18,708 13,429 3,158 2,122 3,790 401 3,388 15,573 11,547 1,506 2,520 6,213 1,043 4,883 286 6,028 3,643 1,979 406 2,505 2,505 16,366 7,152 8,075 1,139 2,562 2,563 (8) 44,403 33,422 6,198 4,782 2,893 1,751 933 209 8,887 835 2,131 1,984 3,936 1,290 1,115 175 6,769 6,769 28,301 28,301 2,292 2,292 4,773 2,344 2,429 173,757 686 7,099 760 13,160 7,971 130,404 1,694 10,736 490 757 6,630 1,281 839 1,272 2,444 794

8



2001 2,033 2,033 4,886 4,886 8,327 6,927 517 884 18,383 13,162 3,141 2,081 3,702 416 3,286 15,342 11,393 1,487 2,462 5,965 998 4,695 273 5,778 3,501 1,889 388 2,339 2,339 15,718 6,892 7,725 1,100 2,534 2,534 (8) 43,659 32,878 6,077 4,704 2,754 1,669 883 202 8,816 837 2,104 1,925 3,950 1,230 1,065 165 6,673 6,673 26,915 26,915 2,216 2,216 4,597 2,250 2,348 170,558 662 6,915 745 12,875 7,722 128,261 1,649 10,523 476 730 6,412 1,228 808 1,236 2,369 771

8



2000 1,968 1,968 4,586 4,586 8,137 6,776 506 856 18,138 13,001 3,093 2,044 3,667 404 3,263 15,073 11,314 1,421 2,338 5,827 928 4,632 266 5,454 3,323 1,777 354 2,118 2,118 15,143 6,652 7,422 1,069 2,385 2,385 (8) 42,568 32,152 5,898 4,517 2,555 1,553 823 180 8,636 816 2,049 1,855 3,915 1,192 1,037 155 6,678 6,678 26,605 26,605 2,118 2,118 4,198 2,028 2,171 161,398 630 6,574 723 12,088 7,385 121,593 1,490 9,815 448 652 6,204 1,201 780 1,195 2,285 741

8 8



2002 26,546 26,546 24,495 24,495 29,905 31,095 25,499 24,836 28,508 31,225 23,629 22,930 24,212 20,567 24,731 27,179 29,544 21,490 22,486 24,971 23,370 25,693 20,302 26,051 27,052 24,310 26,508 18,581 18,581 31,821 32,854 31,955 25,932 23,270 23,270 (8) 37,995 38,579 38,854 33,496 22,781 23,804 22,683 16,994 25,507 24,299 23,890 25,235 26,925 17,919 18,210 16,265 27,485 27,485 31,707 31,707 25,482 25,482 24,330 25,835 23,036 34,969 27,918 27,639 28,026 33,000 30,541 36,825 23,015 32,688 21,044 22,258 23,139 25,795 22,795 20,472 25,588 18,718

8



2000 24,545 24,545 25,040 25,040 28,729 29,815 25,045 23,911 28,109 30,789 23,594 22,233 23,944 21,190 24,335 26,834 29,695 20,394 21,056 23,627 21,452 24,423 19,468 24,395 25,149 23,253 23,575 16,306 16,306 29,729 31,090 29,477 24,511 22,051 22,051 (8) 36,987 37,460 37,894 32,991 20,557 21,339 20,913 14,740 25,178 24,248 22,961 23,900 27,483 16,617 16,890 14,997 27,885 27,885 30,383 30,383 23,964 23,964 21,588 22,543 20,767 34,041 26,503 27,028 27,628 33,676 29,453 35,606 21,088 32,990 19,968 19,844 21,514 24,196 21,183 19,192 23,638 17,279



Percent change,2 2000– 2002 7.4 7.4 (X) (X) 6.2 6.4 3.3 6.2 3.1 3.3 2.1 3.8 3.3 –0.6 3.8 3.3 2.1 6.0 7.8 6.6 12.4 5.4 7.6 10.5 9.7 11.3 14.7 18.3 18.3 8.1 7.5 8.8 6.6 7.4 7.4 (8) 4.3 3.9 5.1 5.9 13.2 12.7 13.5 16.4 2.9 2.3 4.0 7.0 0.5 8.3 7.6 13.1 1.4 1.4 6.4 6.4 8.2 8.2 13.7 15.6 11.9 7.7 9.0 8.0 5.1 8.9 7.9 7.2 13.7 9.4 9.3 16.1 6.9 6.6 7.6 6.4 7.0 7.1

8



Manufacturing 2.9 2.9 15.5 15.5 21.6 21.0 28.4 28.3 21.7 18.2 34.5 38.5 15.7 11.5 15.9 21.1 20.1 30.2 23.4 6.1 11.2 4.9 20.4 15.1 17.3 9.8 21.6 9.0 9.0 9.3 8.5 9.9 11.5

8



Retail trade 9.3 9.3 7.4 7.4 6.9 6.9 6.2 8.2 7.5 7.7 6.6 7.6 7.9 5.7 8.0 8.4 8.6 5.8 8.1 6.8 5.1 7.0 8.5 9.3 10.2 7.3 10.0 6.0 6.0 6.7 8.5 5.3 12.1 9.1 9.1 (8) 6.1 5.9 6.9 8.1 9.9 9.1 13.5 5.1 7.3 6.7 6.1 7.0 8.0 2.7 2.8 (D) 6.2 6.2 6.7 6.7 10.7 10.7 7.1 6.3 7.7 5.6 6.4 7.3 4.8 7.0 7.2 5.3 11.1 9.8 7.0 14.5 8.5 8.8 7.1 12.8 8.2 6.2

8



Professional and technical services 5.6 5.6 3.6 3.6 4.7 4.8 2.5 3.1 6.2 7.1 2.4 2.2 3.9 2.4 3.9 (NA) 8.7 (D) (D) 5.1 12.7 3.9 2.8 4.8 4.2 6.5 2.7 1.8 1.8 7.1 7.9 6.6 3.6 4.2 4.2 (8) 8.6 9.1 6.4 5.8 (NA) 4.4 (D) (D) (NA) 3.4 4.2 (D) 2.4 (NA) (D) (D) 3.9 3.9 7.3 7.3 3.6 3.6 3.5 3.2 3.7 11.5 7.8 5.4 1.7 7.4 5.4 12.2 2.8 9.8 7.8 3.8 (NA) 7.9 (D) (D) 5.2 (D)

8



Government and government enterprises 30.8 30.8 13.4 13.4 11.8 11.2 17.4 19.5 11.2 10.8 12.2 14.2 32.5 32.5 32.5 13.6 10.9 21.5 29.9 35.3 33.8 35.7 30.9 20.2 14.5 31.9 22.8 47.1 47.1 22.1 17.3 25.5 24.7 15.2 15.2 (8) 14.3 12.9 13.9 36.1 25.7 30.9 11.3 16.3 12.8 12.8 20.6 11.2 10.4 79.7 80.4 47.4 11.9 11.9 34.2 34.2 15.0 15.0 13.4 17.5 10.4 9.8 12.9 14.7 16.0 14.4 31.7 8.5 19.0 12.2 30.4 31.2 18.5 12.1 13.4 29.0 17.3 38.7



Harrisonburg, VA . . . . . . . . . . . . . . . . . Rockingham County, VA. . . . . . . . . . . Harrisonburg city, VA . . . . . . . . . . . . . Hartford-West Hartford-East Hartford, CT . Hartford County, CT . . . . . . . . . . . . . Middlesex County, CT . . . . . . . . . . . . Tolland County, CT . . . . . . . . . . . . . . Hattiesburg, MS. . . . . . . . . . . . . . . . . . Forrest County, MS . . . . . . . . . . . . . . Lamar County, MS . . . . . . . . . . . . . . Perry County, MS . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . . Alexander County, NC . . . . . . . . . . . . Burke County, NC . . . . . . . . . . . . . . . Caldwell County, NC . . . . . . . . . . . . . Catawba County, NC . . . . . . . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . . Liberty County, GA . . . . . . . . . . . . . . Long County, GA . . . . . . . . . . . . . . . Holland-Grand Haven, MI . . . . . . . . . . . Ottawa County, MI . . . . . . . . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . . . . . Honolulu County, HI . . . . . . . . . . . . . Hot Springs, AR. . . . . . . . . . . . . . . . . . Garland County, AR . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA . . . . Lafourche Parish, LA . . . . . . . . . . . . . Terrebonne Parish, LA . . . . . . . . . . . . Houston-Sugar Land, Baytown, TX . . . . . Austin County, TX . . . . . . . . . . . . . . . Brazoria County, TX . . . . . . . . . . . . . Chambers County, TX . . . . . . . . . . . . Fort Bend County, TX . . . . . . . . . . . . Galveston County, TX . . . . . . . . . . . . Harris County, TX . . . . . . . . . . . . . . . Liberty County, TX . . . . . . . . . . . . . . Montgomery County, TX. . . . . . . . . . . San Jacinto County, TX . . . . . . . . . . . Waller County, TX . . . . . . . . . . . . . . . Huntington-Ashland, WV-KY-OH . . . . . . . Boyd County, KY . . . . . . . . . . . . . . . Greenup County, KY . . . . . . . . . . . . . Lawrence County, OH . . . . . . . . . . . . Cabell County, WV . . . . . . . . . . . . . . Wayne County, WV . . . . . . . . . . . . . . See footnotes at end of table.



28.1 28.1 (8) 15.1 14.7 20.7 9.3 11.1 9.0 8.5 50.6 37.2 46.4 32.3 37.8 37.9 (NA) 3.4 (D) 42.0 42.0 2.1 2.1 11.3 11.3 11.2 10.1 12.0 13.2 23.6 28.7 35.8 14.1 14.8 12.6 20.6 8.6 5.8 22.3 12.9 18.4 10.3 5.8 12.1 9.7



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



235



Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance (NA) (D) 5.9 11.3 12.7 (D) (NA) 6.9 5.3 6.3 5.6 6.2 8.2 10.0 8.7 (D) (D) (NA) 7.2 (D) (NA) (D) 11.6 11.6 (NA) 6.3 12.7 7.9 9.1 (D) (NA) (D) 11.9 9.7 6.6 13.4 9.6 4.4 10.2 3.1 3.1 11.4 11.4 (NA) 4.1 10.3 (D) 4.6 (NA) (D) 4.8 15.0 18.0 18.0 17.0 18.5 6.6 14.8 11.9 22.6 10.6 11.6 4.5 15.6 15.6 (NA) (D) 7.8 (D) 3.0 (D) 7.2 (D) Government and government enterprises 27.0 25.3 27.2 14.4 13.9 18.5 12.4 13.6 21.0 8.2 15.6 18.6 14.7 12.2 19.5 20.5 14.2 41.8 43.7 18.2 12.5 12.5 17.8 17.8 21.1 24.0 24.8 10.6 15.5 22.0 18.6 18.1 18.7 18.4 46.7 17.4 18.3 25.6 15.3 75.2 75.2 12.8 12.8 36.0 26.6 40.1 24.1 19.1 20.2 19.0 15.8 20.8 19.5 19.5 16.9 16.3 20.9 11.0 11.3 10.1 15.5 14.2 23.6 15.7 15.7 14.6 18.2 8.0 56.1 28.0 24.1 22.8 26.0



2002 Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . Limestone County, AL . . . . . . . . . . . . . . . . . . . Madison County, AL . . . . . . . . . . . . . . . . . . . . Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . Bonneville County, ID . . . . . . . . . . . . . . . . . . . Jefferson County, ID . . . . . . . . . . . . . . . . . . . . Indianapolis, IN . . . . . . . . Boone County, IN . . . . . Brown County, IN . . . . . Hamilton County, IN . . . Hancock County, IN . . . Hendricks County, IN. . . Johnson County, IN. . . . Marion County, IN . . . . . Morgan County, IN . . . . Putnam County, IN . . . . Shelby County, IN . . . . . Iowa City, IA . . . . . . . . . . Johnson County, IA . . . . Washington County, IA . Ithaca, NY . . . . . . . . . . . Tompkins County, NY . . Jackson, MI . . . . . . . . . . Jackson County, MI. . . . Jackson, MS . . . . . . . . . . Copiah County, MS . . . . Hinds County, MS . . . . . Madison County, MS . . . Rankin County, MS . . . . Simpson County, MS . . . Jackson, TN . . . . . . . . . . Chester County, TN. . . . Madison County, TN . . . Jacksonville, FL. . . . . . . . Baker County, FL . . . . . Clay County, FL . . . . . . Duval County, FL . . . . . Nassau County, FL . . . . St. Johns County, FL . . . Jacksonville, NC . . . . . . . Onslow County, NC. . . . Janesville, WI . . . . . . . . . Rock County, WI. . . . . . Jefferson City, MO . . . . . . Callaway County, MO . . Cole County, MO . . . . . Moniteau County, MO . . Osage County, MO . . . . Johnson City, TN . . . . . . . Carter County, TN. . . . . Unicoi County, TN. . . . . Washington County, TN . Johnstown, PA . . . . . . . . Cambria County, PA . . . Jonesboro, AR . . . . . . . . Craighead County, AR . . Poinsett County, AR . . . Joplin, MO . . . . . . . . . . . Jasper County, MO . . . . Newton County, MO . . . Kalamazoo-Portage, MI . . Kalamazoo County, MI. . Van Buren County, MI . . Kankakee-Bradley, IL . . . . Kankakee County, IL . . . Kansas City, MO-KS. . . . . Franklin County, KS . . . Johnson County, KS . . . Leavenworth County, KS Linn County, KS . . . . . . Miami County, KS . . . . . Wyandotte County, KS. . Bates County, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,223 1,590 8,633 2,605 2,198 407 51,841 1,868 450 8,847 1,965 3,441 3,635 27,711 1,853 883 1,187 4,087 3,503 584 2,521 2,521 4,030 4,030 13,550 544 6,594 2,561 3,287 564 2,766 340 2,425 35,338 478 4,065 23,829 1,896 5,070 3,808 3,808 4,138 4,138 3,708 901 2,164 320 323 4,205 1,151 400 2,654 3,590 3,590 2,399 1,927 472 3,747 2,501 1,246 8,673 6,918 1,755 2,716 2,716 61,255 620 20,581 1,831 219 807 3,364 389



2001 9,850 1,558 8,293 2,494 2,120 374 50,763 1,828 437 8,698 1,930 3,355 3,549 27,117 1,815 865 1,170 3,950 3,381 569 2,422 2,422 3,929 3,929 13,144 528 6,386 2,467 3,198 565 2,682 333 2,350 33,974 448 3,878 22,932 1,836 4,880 3,596 3,596 4,010 4,010 3,637 881 2,113 322 320 4,066 1,109 381 2,577 3,498 3,498 2,336 1,859 477 3,654 2,440 1,214 8,446 6,732 1,714 2,651 2,651 59,737 603 20,121 1,768 220 783 3,270 393



2000 9,477 1,468 8,009 2,321 1,961 360 48,862 1,704 434 8,020 1,865 3,242 3,453 26,403 1,774 803 1,162 3,815 3,251 565 2,321 2,321 3,966 3,966 12,668 491 6,210 2,380 3,081 506 2,664 309 2,354 33,151 431 3,730 22,549 1,747 4,693 3,437 3,437 3,993 3,993 3,445 847 1,987 307 304 3,893 1,062 382 2,449 3,413 3,413 2,248 1,793 455 3,533 2,393 1,140 8,325 6,643 1,682 2,571 2,571 58,247 573 20,079 1,695 202 745 3,121 354



2002 28,959 23,546 30,239 24,837 25,815 20,619 32,916 38,585 29,476 42,891 33,741 29,999 29,936 32,129 27,294 24,250 27,093 30,163 30,636 27,607 25,242 25,242 25,011 25,011 26,848 18,922 26,494 32,896 27,034 20,425 25,310 21,366 25,983 30,037 20,618 26,739 29,624 31,298 37,191 25,317 25,317 26,865 26,865 26,112 21,340 30,149 21,428 24,703 22,897 20,233 22,671 24,323 23,885 23,885 21,968 23,002 18,563 23,418 23,407 23,439 27,265 28,742 22,673 25,901 25,901 32,467 24,499 43,237 25,806 22,550 27,884 21,332 22,945



2000 27,589 22,262 28,855 22,730 23,656 18,741 31,920 36,734 28,946 43,260 33,518 30,764 29,774 30,688 26,526 22,248 26,657 28,886 29,191 27,244 24,002 24,002 24,987 24,987 25,424 17,063 24,782 31,712 26,515 18,289 24,766 19,892 25,590 29,439 19,257 26,330 28,923 30,149 37,709 22,881 22,881 26,176 26,176 24,554 20,690 27,807 20,705 23,241 21,395 18,692 21,628 22,787 22,422 22,422 20,793 21,733 17,765 22,405 22,800 21,619 26,410 27,809 22,034 24,747 24,747 31,612 23,054 44,176 24,591 21,066 26,155 19,776 21,187



Percent change,2 2000– 2002 7.9 8.3 7.8 12.2 12.1 12.9 6.1 9.6 3.7 10.3 5.4 6.1 5.3 5.0 4.5 9.9 2.1 7.1 7.8 3.4 8.6 8.6 1.6 1.6 7.0 10.8 6.2 7.6 6.7 11.5 3.8 10.0 3.0 6.6 10.9 9.0 5.7 8.5 8.0 10.8 10.8 3.6 3.6 7.6 6.4 8.9 4.1 6.2 8.0 8.3 4.8 8.4 5.2 5.2 6.7 7.5 3.6 6.1 4.5 9.3 4.2 4.1 4.3 5.7 5.7 5.2 8.1 2.5 8.1 8.2 8.3 7.8 9.7



Manufacturing 22.2 35.3 20.5 5.4 4.5 12.4 17.1 12.1 6.5 6.8 18.0 6.5 18.6 18.3 18.3 32.7 42.3 8.8 8.0 18.2 10.1 10.1 21.4 21.4 7.8 29.5 5.8 9.9 10.8 2.9 23.7 15.2 24.2 6.7 3.9 4.6 6.4 12.6 9.5 1.2 1.2 33.7 33.7 9.5 14.8 6.3 23.4 26.9 19.0 14.7 38.2 17.9 9.0 9.0 19.8 19.2 23.7 25.0 24.0 27.7 27.0 28.0 21.0 21.2 21.2 9.9 12.0 7.1 2.7 3.7 8.6 21.7 10.1



Retail trade 6.1 6.6 6.1 9.2 9.6 6.0 6.7 7.4 10.3 8.1 7.5 12.6 11.8 5.8 12.2 6.5 5.7 6.6 6.5 8.4 5.4 5.4 9.4 9.4 7.7 7.5 6.8 9.9 8.6 10.8 9.6 13.8 9.4 7.7 6.8 12.8 7.2 7.9 9.9 4.7 4.7 8.2 8.2 8.0 5.8 8.4 8.9 10.7 8.9 11.4 3.7 8.9 9.7 9.7 8.7 9.1 6.1 9.1 9.3 8.5 7.7 7.6 8.4 9.2 9.2 6.6 8.5 7.6 4.2 6.8 12.6 (D) 9.4



Professional and technical services 17.6 8.8 18.7 19.6 21.7 2.3 (NA) 5.8 8.7 8.1 12.9 4.6 5.4 8.1 (D) (D) 2.2 4.8 4.9 3.7 6.6 6.6 3.2 3.2 8.0 2.9 9.0 10.1 4.8 1.8 3.3 2.2 3.4 (NA) (D) 5.7 7.5 5.6 5.6 1.5 1.5 2.5 2.5 (NA) 1.8 4.2 2.2 (D) (NA) 3.4 (D) 5.1 7.0 7.0 3.6 3.9 1.8 2.5 3.0 1.1 4.7 4.8 4.2 (NA) (D) (NA) 2.2 11.9 7.5 1.7 3.7 2.6 4.1



See footnotes at end of table.



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State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance Government and government enterprises



2002 Kansas City, MO-KS—Con. Caldwell County, MO . . . . . . . Cass County, MO . . . . . . . . . Clay County, MO . . . . . . . . . Clinton County, MO . . . . . . . . Jackson County, MO . . . . . . . Lafayette County, MO . . . . . . Platte County, MO. . . . . . . . . Ray County, MO . . . . . . . . . . Kennewick-Richland-Pasco, WA . Benton County, WA . . . . . . . . Franklin County, WA . . . . . . . Killeen-Temple-Fort Hood, TX . . Bell County, TX . . . . . . . . . . Coryell County, TX . . . . . . . . Lampasas County, TX . . . . . . Kingsport-Bristol-Bristol, TN-VA . Hawkins County, TN . . . . . . . Sullivan County, TN. . . . . . . . Scott County, VA . . . . . . . . . Washington County, VA . . . . . Bristol city, VA . . . . . . . . . . . Kingston, NY. . . . . . . . . Ulster County, NY . . . . Knoxville, TN . . . . . . . . Anderson County, TN . Blount County, TN. . . . Knox County, TN . . . . Loudon County, TN . . . Union County, TN . . . . Kokomo, IN . . . . . . . . . Howard County, IN . . . Tipton County, IN . . . . La Crosse, WI-MN . . . . . Houston County, MN . . La Crosse County, WI . Lafayette, IN . . . . . . . . . Benton County, IN. . . . Carroll County, IN . . . . Tippecanoe County, IN Lafayette, LA . . . . . . . . Lafayette Parish, LA . . St. Martin Parish, LA . . Lake Charles, LA . . . . . . Calcasieu Parish, LA . . Cameron Parish, LA . . Lakeland, FL. . . . . . . . . Polk County, FL . . . . . Lancaster, PA . . . . . . . . Lancaster County, PA . Lansing-East Lansing, MI Clinton County, MI . . . Eaton County, MI . . . . Ingham County, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



2001



2000



2002



2000



Percent change,2 2000– 2002



Manufacturing



Retail trade



Professional and technical services



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215 2,385 5,960 495 20,257 890 2,652 590 5,469 4,372 1,097 8,231 6,274 1,513 444 7,317 1,180 4,018 455 9 1,664 (9) 4,864 4,864 17,922 1,942 2,784 11,792 1,069 335 2,892 2,408 484 3,612 559 3,052 4,549 230 552 3,767 6,636 5,717 919 4,701 4,526 176 12,891 12,891 14,001 14,001 12,614 1,999 2,927 7,689 3,437 3,437 3,674 3,674 44,572 44,572 2,658 2,658 2,686 2,686 3,380 3,380 1,515 988 527 2,809 2,809



210 2,322 5,775 486 19,743 875 2,593 575 5,139 4,103 1,035 7,823 5,960 1,438 425 7,122 1,133 3,908 444 9 1,638 (9) 4,710 4,710 17,156 1,852 2,643 11,312 1,025 324 2,825 2,350 475 3,480 542 2,938 4,491 230 556 3,705 6,478 5,568 910 4,582 4,403 179 12,316 12,316 13,603 13,603 12,268 1,941 2,845 7,482 3,216 3,216 3,424 3,424 42,457 42,457 2,587 2,587 2,584 2,584 3,295 3,295 1,471 959 512 2,662 2,662



202 2,199 5,558 464 19,223 814 2,460 557 4,756 3,801 955 7,459 5,676 1,373 409 6,834 1,087 3,751 417 9 1,578 (9) 4,546 4,546 16,569 1,785 2,544 10,931 996 313 2,929 2,435 494 3,303 512 2,790 4,393 230 548 3,614 6,048 5,216 832 4,313 4,134 178 11,517 11,517 13,570 13,570 12,067 1,862 2,804 7,401 2,934 2,934 3,120 3,120 41,239 41,239 2,423 2,423 2,453 2,453 3,175 3,175 1,419 931 488 2,532 2,532



23,722 27,380 31,171 25,206 30,714 26,959 34,083 24,855 26,905 29,086 20,715 24,287 25,581 20,235 23,524 24,481 21,564 26,306 19,715 9 24,343 (9) 27,013 27,013 28,466 27,100 25,353 30,327 26,212 18,096 28,543 28,402 29,269 28,222 28,071 28,250 25,006 24,731 27,146 24,737 27,385 29,646 18,572 24,370 24,708 18,031 25,777 25,777 29,266 29,266 27,806 29,978 27,748 27,313 16,593 16,593 20,573 20,573 29,396 29,396 26,010 26,010 23,725 23,725 27,836 27,836 26,246 26,578 25,647 26,721 26,721



22,454 26,610 30,079 24,363 29,323 24,651 33,155 23,819 24,687 26,566 19,263 22,458 23,751 18,260 22,837 22,898 20,253 24,530 17,860 9 23,048 (9) 25,553 25,553 26,836 25,038 23,948 28,554 25,403 17,496 28,851 28,659 29,836 26,004 25,945 26,015 24,554 24,523 27,191 24,200 25,281 27,370 17,103 22,292 22,529 17,932 23,727 23,727 28,770 28,770 26,909 28,661 26,984 26,474 15,071 15,071 17,831 17,831 29,601 29,601 24,190 24,190 21,408 21,408 26,369 26,369 24,484 24,903 23,721 24,378 24,378



6.2 8.5 7.2 6.7 5.4 9.4 7.8 5.9 15.0 15.0 14.9 10.4 10.5 10.1 8.5 7.1 8.5 7.1 9.0 9 5.5 (9) 7.0 7.0 8.2 8.8 9.4 7.9 7.2 7.3 –1.3 –1.1 –2.0 9.4 9.1 9.4 3.6 –0.2 0.6 4.2 9.7 9.6 10.4 9.0 9.5 –1.6 11.9 11.9 3.2 3.2 4.5 7.3 4.4 3.9 17.1 17.1 17.8 17.8 8.1 8.1 9.7 9.7 9.5 9.5 6.4 6.4 6.8 6.1 8.1 10.9 10.9



1.1 5.7 23.1 4.0 7.8 9.9 9.7 13.3 6.7 6.2 8.8 5.9 5.8 3.2 14.4 30.5 44.5 31.0 13.6 9 25.3 (9) 10.4 10.4 14.5 29.8 25.9 8.6 28.2 31.8 58.9 61.1 28.9 17.8 13.0 18.1 27.0 17.3 36.3 26.7 6.1 5.9 9.3 20.7 21.1 10.1 12.7 12.7 25.6 25.6 16.3 21.5 9.5 17.0 1.4 1.4 4.9 4.9 3.1 3.1 9.0 9.0 9.6 9.6 24.5 24.5 15.2 16.8 9.0 15.1 15.1



9.8 13.0 10.5 12.1 5.9 11.5 5.2 9.5 6.7 6.3 8.3 6.5 6.1 9.8 12.1 8.7 9.9 7.8 13.7 9 9.9 (9) 11.3 11.3 10.1 5.2 12.1 10.8 9.8 7.9 5.8 5.3 12.8 7.0 8.3 6.9 6.7 7.3 7.1 6.7 8.1 7.9 12.2 (NA) 6.9 (D) 9.6 9.6 8.9 8.9 6.8 8.3 9.5 6.2 10.3 10.3 7.5 7.5 7.8 7.8 6.8 6.8 6.1 6.1 9.2 9.2 9.6 9.3 10.8 10.4 10.4



1.8 3.4 9.4 2.1 11.7 (D) 5.0 (D) 19.2 23.5 1.9 (NA) 3.0 (D) 2.9 (NA) (D) 4.5 2.8 (D) (9) 4.6 4.6 9.3 19.2 2.9 8.9 3.1 1.2 2.9 2.9 3.1 3.5 3.5 3.5 3.2 1.4 3.0 3.2 7.8 8.2 2.2 5.8 5.9 3.9 5.8 5.8 5.8 5.8 (NA) (D) 5.7 7.3 4.3 4.3 6.5 6.5 6.6 6.6 8.1 8.1 3.4 3.4 3.4 3.4 3.9 3.8 4.6 8.2 8.2



(D) 6.5 6.7 (D) 9.1 (D) 4.9 5.3 7.7 7.2 9.7 8.3 8.6 4.4 7.5 12.2 4.2 15.2 9.7 9 8.1 (9) 13.7 13.7 11.4 8.2 5.7 13.4 6.2 6.2 (NA) 5.5 (D) (NA) (D) 17.7 (NA) 4.9 (D) 11.6 (NA) 11.6 (D) (NA) 10.0 (D) 10.9 10.9 10.0 10.0 9.1 7.0 5.4 9.8 10.2 10.2 12.2 12.2 6.7 6.7 7.4 7.4 5.8 5.8 14.2 14.2 15.1 15.0 15.9 16.2 16.2



26.5 21.4 12.0 26.4 15.7 22.3 8.8 24.2 17.9 16.8 22.0 54.8 56.1 50.1 21.8 11.5 16.3 8.6 25.2 9 15.5 (9) 26.0 26.0 15.1 13.3 12.6 15.8 16.9 24.4 10.3 9.4 23.2 14.4 19.7 14.0 24.6 23.8 13.1 25.3 10.8 10.0 24.8 14.2 14.0 19.8 15.1 15.1 8.8 8.8 27.6 19.8 20.2 29.5 26.4 26.4 35.6 35.6 13.4 13.4 30.7 30.7 56.5 56.5 17.9 17.9 18.4 18.1 19.4 12.1 12.1



Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . Webb County, TX . . . . . . . . . . . . . . . . . . . . . . Las Cruces, NM . . . . . . Dona Ana County, NM . Las Vegas-Paradise, NV . Clark County, NV . . . . Lawrence, KS . . . . . . . . Douglas County, KS . . Lawton, OK . . . . . . . . . Comanche County, OK Lebanon, PA . . . . . . . . Lebanon County, PA . Lewiston, ID-WA . . . . . Nez Perce County, ID Asotin County, WA . . Lewiston-Auburn, ME . . Androscoggin County, . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



... ... ... ... ... ... ME



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



237



Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance (NA) (D) 8.6 11.1 (D) (D) (D) 16.2 16.2 (NA) 12.9 (D) (NA) 9.9 (D) 9.1 6.0 11.3 10.0 6.7 3.3 7.0 (NA) 14.5 6.2 (D) 11.5 11.5 7.7 8.0 8.0 6.8 6.8 (NA) 7.4 10.2 (D) 4.9 3.4 5.5 12.1 (D) 9.5 9.0 7.9 (D) 7.5 15.3 7.9 15.4 (NA) (D) 3.6 10 8.0 11 12.2 (10) (11) (NA) 16.9 6.5 7.4 (D) 2.5 14.1 14.1 (NA) 9.6 8.6 (D) 9.9 9.9 11.3 11.3 18.3 18.3 14.0 14.0 Government and government enterprises 16.4 11.6 10.4 19.8 13.4 5.0 7.4 14.2 14.2 21.2 21.4 16.8 22.2 16.7 21.6 19.7 25.1 23.0 20.7 25.0 22.5 25.2 11.7 10.2 13.8 22.1 14.5 14.5 12.4 13.4 13.4 9.4 9.4 12.2 16.8 18.7 15.6 21.6 17.6 22.9 10.7 22.7 11.5 24.6 10.2 35.3 33.8 22.2 24.7 22.2 13.1 27.5 20.8 10 14.3 11 10.4 (10) (11) 14.3 12.7 26.0 27.3 31.5 18.2 22.0 22.0 24.1 17.0 25.1 10.1 9.6 9.6 16.6 16.6 26.7 26.7 16.2 16.2



2002 Lexington-Fayette, KY . . . . . . . Bourbon County, KY . . . . . . . Clark County, KY . . . . . . . . . Fayette County, KY . . . . . . . . Jessamine County, KY. . . . . . Scott County, KY . . . . . . . . . Woodford County, KY . . . . . . Lima, OH . . . . . . . . . . . . . . . . Allen County, OH . . . . . . . . . Lincoln, NE. . . . . . . . . . . . . . . Lancaster County, NE . . . . . . Seward County, NE. . . . . . . . Little Rock-North Little Rock, AR. Faulkner County, AR . . . . . . . Grant County, AR . . . . . . . . . Lonoke County, AR . . . . . . . . Perry County, AR . . . . . . . . . Pulaski County, AR . . . . . . . . Saline County, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,967 547 906 8,681 1,036 993 804 2,728 2,728 8,222 7,766 456 17,831 2,121 405 1,288 230 11,661 2,126 2,099 231 1,868 5,062 3,213 1,057 791 2,373 2,373 413,165 300,898 300,898 112,267 112,267 36,195 2,699 2,202 901 619 1,524 356 23,300 595 1,001 1,580 982 287 148 6,365 162 6,203 5,850 695 329 10 1,992 11 2,833 (10) (11) 6,214 4,568 272 595 572 207 2,527 2,527 18,001 1,631 15,687 683 13,914 13,914 3,222 3,222 9,056 9,056 4,942 4,942



2001 12,576 538 875 8,401 1,008 967 786 2,674 2,674 7,905 7,450 455 17,293 2,070 395 1,256 225 11,289 2,058 2,028 227 1,801 4,932 3,131 1,029 772 2,339 2,339 402,424 293,229 293,229 109,195 109,195 35,463 2,653 2,164 888 624 1,502 353 22,774 595 968 1,557 955 286 144 6,109 152 5,957 5,773 684 325 10 1,954 11 2,811 (10) (11) 5,949 4,365 261 571 554 197 2,379 2,379 17,199 1,574 15,000 626 13,837 13,837 3,120 3,120 8,443 8,443 4,738 4,738



2000 12,388 562 862 8,135 1,013 980 836 2,633 2,633 7,775 7,341 434 16,498 1,941 365 1,171 207 10,859 1,955 1,932 212 1,720 4,775 3,028 997 751 2,202 2,202 385,053 279,050 279,050 106,004 106,004 34,250 2,551 2,139 878 616 1,474 352 21,859 567 938 1,521 960 265 129 6,055 152 5,903 5,626 669 322 10 1,868 11 2,768 (10) (11) 5,662 4,161 245 552 520 184 2,265 2,265 16,469 1,522 14,366 581 13,770 13,770 3,024 3,024 7,793 7,793 4,531 4,531



2002 31,136 28,045 26,944 32,932 25,429 28,022 34,135 25,237 25,237 30,022 30,192 27,402 28,659 23,578 24,167 23,296 22,060 32,072 24,674 19,772 19,610 19,792 25,727 28,418 22,399 21,693 25,104 25,104 32,547 30,804 30,804 38,367 38,367 30,666 27,541 30,865 25,564 22,382 23,927 23,222 33,466 21,687 25,732 32,120 28,034 21,150 17,109 25,027 23,594 25,067 25,422 21,841 23,997 10 29,228 11 24,340 (10) (11) 27,635 29,587 21,658 23,998 25,275 19,742 19,617 19,617 34,650 30,528 35,414 29,532 35,496 35,496 25,098 25,098 14,769 14,769 26,477 26,477



2000 30,251 28,988 25,920 31,175 25,827 29,324 35,922 24,258 24,258 29,041 29,226 26,227 26,960 22,472 22,133 22,027 20,220 30,021 23,288 18,744 18,641 18,757 24,611 27,208 21,044 21,217 23,668 23,668 31,049 29,235 29,235 37,110 37,110 29,398 26,354 30,179 25,447 22,595 23,907 23,316 31,506 21,359 24,878 32,345 28,601 22,042 15,844 24,227 21,594 24,303 24,579 20,960 23,505 10 27,909 11 23,782 (10) (11) 25,458 27,055 19,633 23,313 23,795 17,345 18,321 18,321 32,688 28,936 33,534 25,452 36,016 36,016 23,482 23,482 13,578 13,578 24,917 24,917



Percent change,2 2000– 2002 4.7 –2.6 5.1 6.7 2.3 1.3 –3.8 3.6 3.6 5.7 5.8 5.1 8.1 9.3 10.7 10.0 11.2 7.4 8.7 8.6 8.9 8.6 6.0 6.1 6.1 5.4 7.8 7.8 7.3 7.8 7.8 5.9 5.9 5.7 5.8 2.9 2.6 0.5 3.4 1.1 6.6 4.8 6.7 3.9 2.3 8.6 14.2 5.1 6.3 5.1 4.0 4.0 2.3 10 6.6 11 2.4 (10) (11) 9.7 9.8 11.2 7.7 10.0 12.7 11.6 11.6 9.3 7.1 9.2 17.6 1.0 1.0 6.5 6.5 16.2 16.2 9.1 9.1



Manufacturing 20.8 25.6 30.0 11.8 19.7 65.8 29.7 29.5 29.5 13.4 13.1 20.9 8.7 19.4 23.8 14.7 3.3 6.8 12.9 20.5 9.8 21.3 12.8 13.8 10.9 7.6 25.5 25.5 12.3 11.8 11.8 13.5 13.5 18.6 19.2 26.0 26.9 33.9 24.7 28.8 16.9 14.7 33.3 9.1 44.4 (D) (D) 5.8 2.6 5.9 28.3 23.2 18.4 10 21.2 11 31.3 (10) (11) (NA) 17.2 3.7 1.7 3.9 (D) 9.2 9.2 11.6 29.2 10.8 7.0 20.3 20.3 34.5 34.5 4.9 4.9 9.2 9.2



Retail trade 7.0 6.3 8.4 7.5 12.2 2.6 4.1 8.0 8.0 6.2 6.2 5.0 6.9 7.7 7.6 9.8 6.4 6.1 17.8 7.5 8.2 7.4 10.3 11.0 7.3 9.9 8.0 8.0 6.6 6.3 6.3 7.2 7.2 6.7 9.5 7.4 8.4 8.2 8.9 10.7 6.2 12.4 7.7 7.8 7.0 10.0 4.5 10.2 5.8 10.3 8.7 6.8 9.6 10 7.1 11 9.3 (10) (11) 7.3 7.5 7.0 6.9 4.8 2.5 8.2 8.2 8.4 8.6 6.5 55.0 9.1 9.1 8.0 8.0 11.1 11.1 13.0 13.0



Professional and technical services (NA) (D) 4.6 11.3 (D) 1.3 5.3 2.3 2.3 7.8 7.8 6.6 (NA) 15.7 4.4 3.5 (D) 6.9 3.7 5.4 2.6 5.6 (NA) 5.2 (D) 4.6 2.6 2.6 11.3 11.4 11.4 11.2 11.2 (NA) 2.5 5.3 (D) 2.3 (D) 2.3 7.6 1.8 4.1 (D) (D) 2.6 (D) (NA) (D) 4.5 (NA) 2.8 (D) (D) 11 3.7 (10) (11) (NA) 6.9 2.2 2.8 3.0 (D) (NA) (D) 8.3 2.7 8.9 1.4 9.3 9.3 2.5 2.5 4.1 4.1 4.5 4.5



Logan, UT-ID . . . . . . . . . . . . . . . . . . . . . . . . . . Franklin County, ID . . . . . . . . . . . . . . . . . . . . . Cache County, UT . . . . . . . . . . . . . . . . . . . . . Longview, TX . . . . . . . . . . . . . . . . . . . . Gregg County, TX . . . . . . . . . . . . . . . . Rusk County, TX . . . . . . . . . . . . . . . . Upshur County, TX . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Cowlitz County, WA. . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Los Angeles-Long Beach-Glendale, CA . Los Angeles County, CA . . . . . . . . . . Santa Ana-Anaheim-Irvine, CA . . . . . . . Orange County, CA . . . . . . . . . . . . . Louisville, KY-IN . . . . . . . . . . . . . . . . . . Clark County, IN . . . . . . . . . . . . . . . . . Floyd County, IN. . . . . . . . . . . . . . . . . Harrison County, IN. . . . . . . . . . . . . . . Washington County, IN . . . . . . . . . . . . Bullitt County, KY . . . . . . . . . . . . . . . . Henry County, KY . . . . . . . . . . . . . . . . Jefferson County, KY. . . . . . . . . . . . . . Meade County, KY . . . . . . . . . . . . . . . Nelson County, KY . . . . . . . . . . . . . . . Oldham County, KY. . . . . . . . . . . . . . . Shelby County, KY . . . . . . . . . . . . . . . Spencer County, KY . . . . . . . . . . . . . . Trimble County, KY . . . . . . . . . . . . . . . Lubbock, TX . . . . . . . . . . . . . . . . . . . . . Crosby County, TX . . . . . . . . . . . . . . . Lubbock County, TX . . . . . . . . . . . . . . Lynchburg, VA. . . . . . . . . . . . . . . . . . . . Amherst County, VA . . . . . . . . . . . . . . Appomattox County, VA . . . . . . . . . . . . Bedford County, VA. . . . . . . . . . . . . . . Campbell County, VA. . . . . . . . . . . . . . Bedford city, VA . . . . . . . . . . . . . . . . . Lynchburg city, VA . . . . . . . . . . . . . . . Macon, GA . . . . . . . . . Bibb County, GA. . . . Crawford County, GA. Jones County, GA. . . Monroe County, GA. . Twiggs County, GA . . Madera, CA . . . . . . . . Madera County, CA. . Madison, WI . . . . . . . . Columbia County, WI. Dane County, WI . . . Iowa County, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Manchester-Nashua, NH . . . . Hillsborough County, NH . . Mansfield, OH . . . . . . . . . . . Richland County, OH . . . . . McAllen-Edinburg-Mission, TX Hidalgo County, TX . . . . . .



Medford, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . Jackson County, OR . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



238



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance (NA) 9.4 8.4 (D) (D) (D) (D) 9.5 (D) 8.8 8.8 9.7 9.3 9.3 9.3 9.3 11.1 11.1 12.5 12.5 6.3 6.3 11.6 13.6 8.9 7.2 8.1 8.2 9.3 8.4 19.5 6.3 7.8 (D) 9.9 5.8 5.8 9.0 7.6 7.9 8.8 15.6 15.6 11.0 11.0 11.6 11.6 (NA) 13.8 (D) 6.5 6.5 (NA) 4.4 (D) 2.9 9.8 (NA) 16.4 (D) (NA) 4.3 8.1 (D) 8.8 8.8 17.9 17.9 12.8 12.8 8.1 8.1 Government and government enterprises 14.1 17.3 9.9 18.8 23.9 5.4 16.3 14.2 19.0 20.8 20.8 14.1 14.3 14.3 16.1 16.1 10.4 10.4 16.4 16.4 11.7 11.7 11.2 13.1 9.2 11.1 7.0 12.0 12.1 10.5 18.0 11.3 9.6 17.9 16.8 20.0 18.3 13.7 16.1 32.7 12.9 18.7 18.7 17.3 17.3 17.1 17.1 16.3 16.2 16.9 12.9 12.9 29.3 15.9 23.2 17.5 31.1 35.2 37.0 23.2 11.3 18.0 9.3 14.9 19.2 19.2 19.4 19.4 16.0 16.0 13.9 13.9



2002 Memphis, TN-MS-AR . . . . . . . . . . . . . . . Crittenden County, AR . . . . . . . . . . . . . DeSoto County, MS. . . . . . . . . . . . . . . Marshall County, MS . . . . . . . . . . . . . . Tate County, MS . . . . . . . . . . . . . . . . . Tunica County, MS . . . . . . . . . . . . . . . Fayette County, TN . . . . . . . . . . . . . . . Shelby County, TN . . . . . . . . . . . . . . . Tipton County, TN . . . . . . . . . . . . . . . . Merced, CA . . . . . . . . . . . . . . . . . . . . . Merced County, CA . . . . . . . . . . . . . . . Miami-Fort Lauderdale-Miami Beach, FL . Fort Lauderdale-Pompano BeachDeerfield Beach, FL. . . . . . . . . . . . . . Broward County, FL . . . . . . . . . . . . . Miami-Miami Beach-Kendall, FL . . . . . . Miami-Dade County, FL . . . . . . . . . . West Palm Beach-Boca RatonBoynton Beach, FL . . . . . . . . . . . . . . Palm Beach County, FL . . . . . . . . . . Michigan City-La Porte, IN. . . . . . . . . . . . LaPorte County, IN . . . . . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . Midland County, TX. . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . . Milwaukee County, WI . . . . . . . . . . . . . Ozaukee County, WI . . . . . . . . . . . . . . Washington County, WI . . . . . . . . . . . . Waukesha County, WI . . . . . . . . . . . . . Minneapolis-St. Paul-Bloomington, MN-WI . Anoka County, MN . . . . . . . . . . . . . . . Carver County, MN . . . . . . . . . . . . . . . Chisago County, MN . . . . . . . . . . . . . . Dakota County, MN . . . . . . . . . . . . . . . Hennepin County, MN . . . . . . . . . . . . . Isanti County, MN . . . . . . . . . . . . . . . . Ramsey County, MN . . . . . . . . . . . . . . Scott County, MN . . . . . . . . . . . . . . . . Sherburne County, MN . . . . . . . . . . . . Washington County, MN. . . . . . . . . . . . Wright County, MN . . . . . . . . . . . . . . . Pierce County, WI . . . . . . . . . . . . . . . . St. Croix County, WI . . . . . . . . . . . . . . Missoula, MT . . . . . . . . . . . . . . . . . . . . Missoula County, MT . . . . . . . . . . . . . . Mobile, AL . . . . . . . . . . . . . . . . . . . . . . Mobile County, AL. . . . . . . . . . . . . . . . Modesto, CA. . . . . . . . . . . . . . . . . . . . . Stanislaus County, CA . . . . . . . . . . . . . Monroe, LA . . . . . . . . . . . . . . . . . . . . . Ouachita Parish, LA . . . . . . . . . . . . . . Union Parish, LA . . . . . . . . . . . . . . . . Monroe, MI . . . . . . . . . . . . . . . . . . . . . . Monroe County, MI . . . . . . . . . . . . . . . Montgomery, AL . . . . . . . . . Autauga County, AL . . . . . Elmore County, AL . . . . . . Lowndes County, AL . . . . . Montgomery County, AL . . . Morgantown, WV . . . . . . . . . Monongalia County, WV. . . Preston County, WV . . . . . Morristown, TN . . . . . . . . . . Grainger County, TN . . . . . Hamblen County, TN . . . . . Jefferson County, TN . . . . . Mount Vernon-Anacortes, WA Skagit County, WA . . . . . . Muncie, IN . . . . . . . . . . . . . Delaware County, IN . . . . . Muskegon-Norton Shores, MI. Muskegon County, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,496 1,087 3,231 669 567 172 813 29,704 1,252 4,640 4,640 168,639 54,173 54,173 62,037 62,037 52,429 52,429 2,729 2,729 3,956 3,956 51,798 28,470 3,980 4,128 15,221 115,502 9,733 3,012 1,274 13,755 49,702 933 18,033 3,362 1,869 7,928 2,761 1,035 2,104 2,626 2,626 9,033 9,033 11,372 11,372 4,224 3,730 494 4,328 4,328 9,665 1,128 1,648 245 6,643 2,778 2,171 606 2,873 432 1,446 996 3,135 3,135 2,992 2,992 4,082 4,082 5,059 5,059



2001 36,299 1,064 3,100 645 550 178 793 28,747 1,223 4,429 4,429 163,369 52,526 52,526 59,876 59,876 50,968 50,968 2,698 2,698 3,925 3,925 50,691 27,811 3,903 4,051 14,927 113,143 9,482 2,968 1,225 13,383 49,077 889 17,576 3,265 1,791 7,762 2,670 1,008 2,049 2,497 2,497 8,863 8,863 10,908 10,908 4,027 3,551 476 4,235 4,235 9,261 1,095 1,580 244 6,342 2,663 2,082 580 2,769 408 1,393 968 3,020 3,020 2,945 2,945 4,013 4,013 4,890 4,890



2000 34,459 1,008 2,832 610 536 160 737 27,394 1,183 4,134 4,134 157,015 50,138 50,138 57,922 57,922 48,955 48,955 2,683 2,683 4,092 4,092 49,151 26,521 3,806 3,965 14,860 109,818 9,226 2,758 1,157 13,090 48,143 830 17,076 3,072 1,671 7,383 2,509 951 1,953 2,343 2,343 8,638 8,638 10,573 10,573 3,839 3,402 437 4,281 4,281 8,865 1,011 1,530 236 6,089 2,449 1,911 538 2,621 393 1,318 911 2,823 2,823 2,898 2,898 3,943 3,943 4,740 4,740



2002 30,557 21,278 27,261 19,019 22,175 17,763 26,073 32,914 23,468 20,623 20,623 32,373 31,785 31,785 26,780 26,780 44,120 44,120 24,773 24,773 33,728 33,728 34,308 30,456 47,418 34,149 41,114 37,787 31,385 39,611 28,424 37,289 44,302 27,546 35,304 32,391 25,998 37,679 28,083 27,676 30,756 26,823 26,823 22,620 22,620 23,642 23,642 24,857 25,354 21,655 29,015 29,015 27,533 24,736 23,846 18,219 29,813 24,576 26,022 20,496 22,909 20,363 24,747 21,742 29,377 29,377 25,313 25,313 23,707 23,707 24,584 24,584



2000 28,520 19,766 26,074 17,399 21,050 17,328 25,293 30,499 22,943 19,533 19,533 31,226 30,713 30,713 25,627 25,627 43,107 43,107 24,350 24,350 35,422 35,422 32,722 28,229 46,091 33,612 41,041 36,840 30,776 38,917 27,833 36,583 43,074 26,314 33,394 33,718 25,597 36,437 27,638 25,773 30,672 24,383 24,383 21,592 21,592 23,506 23,506 22,581 23,109 19,172 29,228 29,228 25,549 23,024 23,091 17,479 27,262 22,018 23,321 18,375 21,218 18,948 22,632 20,426 27,288 27,288 24,421 24,421 23,126 23,126 23,936 23,936



Percent change,2 2000– 2002 8.8 7.8 14.1 9.6 5.9 7.6 10.4 8.4 5.8 12.2 12.2 7.4 8.0 8.0 7.1 7.1 7.1 7.1 1.7 1.7 –3.3 –3.3 5.4 7.3 4.6 4.1 2.4 5.2 5.5 9.2 10.2 5.1 3.2 12.5 5.6 9.4 11.8 7.4 10.1 8.8 7.7 12.1 12.1 4.6 4.6 7.6 7.6 10.0 9.6 13.1 1.1 1.1 9.0 11.6 7.7 4.2 9.1 13.4 13.7 12.6 9.6 9.9 9.7 9.3 11.1 11.1 3.2 3.2 3.5 3.5 6.7 6.7



Manufacturing 10.3 12.5 17.8 17.9 13.1 3.0 26.7 9.5 26.4 13.6 13.6 5.2 5.6 5.6 4.9 4.9 5.4 5.4 24.6 24.6 3.4 3.4 20.4 16.9 30.6 33.9 24.4 14.2 28.5 33.6 18.0 13.5 11.7 18.0 13.3 16.6 15.8 22.5 17.0 9.9 25.8 6.2 6.2 12.7 12.7 13.4 13.4 13.2 14.1 (D) 32.3 32.3 9.9 23.8 18.3 37.6 7.5 9.5 8.6 15.2 38.3 38.0 43.5 23.6 13.5 13.5 22.1 22.1 27.2 27.2 5.4 5.4



Retail trade 7.5 9.2 10.7 11.3 14.4 1.8 5.6 7.3 8.8 8.6 8.6 8.1 9.7 9.7 7.3 7.3 7.7 7.7 7.5 7.5 6.2 6.2 5.7 5.3 6.1 8.2 5.8 6.0 7.9 5.3 8.4 8.3 5.3 9.9 5.4 5.1 10.6 9.4 10.5 5.8 9.3 10.0 10.0 8.2 8.2 10.5 10.5 8.4 8.5 6.5 7.6 7.6 6.5 11.4 9.2 6.1 6.0 6.2 5.8 8.7 8.4 7.7 8.1 9.4 10.4 10.4 7.7 7.7 10.9 10.9 13.0 13.0



Professional and technical services (NA) 2.6 3.9 1.9 (D) 0.6 3.7 5.7 1.8 2.4 2.4 10.0 9.0 9.0 10.1 10.1 11.1 11.1 2.7 2.7 6.4 6.4 7.6 7.9 6.4 3.3 7.8 (NA) 3.8 6.9 (D) 7.8 12.8 (D) 6.7 8.2 2.9 4.9 (D) 5.2 5.7 6.9 6.9 7.9 7.9 4.2 4.2 7.7 8.1 2.1 (NA) (D) 8.7 3.2 4.8 1.8 9.6 5.2 5.6 2.9 (NA) 2.4 (D) 2.1 7.0 7.0 4.3 4.3 4.0 4.0 5.9 5.9



Myrtle Beach-Conway-North Myrtle Beach, SC . . . . Horry County, SC . . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



239



Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance 9.8 9.8 10.8 10.8 (NA) (D) 2.8 17.3 9.8 6.9 (D) (D) 10.9 11.1 8.8 5.6 14.1 8.5 13.4 13.4 (NA) 11.0 8.9 (D) (D) 2.0 7.1 15.1 9.3 8.7 6.4 11.9 17.4 5.5 12.7 14.5 10.6 8.5 10.3 7.6 6.3 12.8 8.5 6.2 8.9 10.4 6.0 10.7 30.3 26.9 4.7 15.2 16.0 25.6 14.0 11.2 9.2 9.2 9.2 9.2 12.4 12.4 9.5 9.5 8.5 8.5 7.7 5.9 1.3 10.1 (NA) 4.6 8.5 6.5 4.5 (D) 3.9 9.8 Government and government enterprises 13.6 13.6 9.6 9.6 10.8 18.5 14.1 10.6 14.7 26.1 18.0 16.0 11.2 11.6 13.6 24.5 7.7 9.1 13.2 13.2 17.0 10.7 21.5 18.0 15.8 11.5 12.8 19.7 12.3 12.8 12.0 16.7 20.5 6.3 16.0 13.7 18.7 13.3 18.7 12.3 8.0 19.4 11.7 24.0 11.4 7.6 15.5 16.4 15.6 10.7 11.2 20.5 9.0 10.4 17.0 13.1 11.8 11.8 31.9 31.9 18.0 18.0 26.1 26.1 17.3 17.3 33.0 38.6 19.0 26.1 24.3 24.3 32.4 19.1 24.8 26.6 21.7 23.4



2002 Napa, CA . . . . . . . . . . . . . . . . . . . . Napa County, CA . . . . . . . . . . . . . Naples-Marco Island, FL . . . . . . . . . . Collier County, FL . . . . . . . . . . . . . Nashville-Davidson—Murfreesboro, TN Cannon County, TN. . . . . . . . . . . . Cheatham County, TN . . . . . . . . . . Davidson County, TN. . . . . . . . . . . Dickson County, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,983 4,983 11,601 11,601 43,317 313 962 20,476 1,057 420 443 1,453 5,270 427 3,738 156 5,790 2,811 29,532 29,532 38,085 13,678 13,767 631 1,589 1,237 948 6,235 755,390 90,194 28,926 27,419 16,907 16,942 121,159 66,351 54,808 92,243 30,493 6,974 26,804 5,609 21,098 1,266 451,793 47,287 18,456 15,552 28,457 62,232 131,576 3,885 64,314 15,929 12,031 52,074 4,305 4,305 9,203 9,203 6,437 6,437 3,549 3,549 2,732 2,732 11,587 6,471 167 4,949 31,219 2,326 5,660 1,047 671 837 664 20,015



2001 4,846 4,846 11,143 11,143 42,030 300 935 19,919 1,034 407 437 1,406 5,025 415 3,650 152 5,616 2,735 28,950 28,950 36,767 13,259 13,271 615 1,533 1,188 903 5,998 751,488 88,847 28,644 27,054 16,301 16,849 119,997 66,079 53,918 91,116 30,136 6,859 26,498 5,499 20,911 1,213 451,528 46,873 18,319 15,224 27,455 61,077 135,365 3,846 63,377 15,848 11,813 52,331 4,226 4,226 8,874 8,874 6,168 6,168 3,363 3,363 2,658 2,658 11,144 6,217 167 4,760 30,441 2,249 5,399 995 648 802 632 19,716



2000 4,714 4,714 10,012 10,012 40,309 284 898 19,029 1,020 394 428 1,390 4,885 400 3,549 150 5,209 2,673 28,379 28,379 34,606 12,616 12,342 561 1,450 1,167 851 5,618 732,799 86,490 27,477 26,318 15,582 17,113 116,298 63,409 52,889 89,531 29,355 6,479 26,479 5,349 20,749 1,120 440,480 45,380 17,633 14,954 25,817 60,470 132,138 3,737 62,299 15,230 11,828 50,992 4,239 4,239 8,514 8,514 5,894 5,894 3,239 3,239 2,546 2,546 10,772 6,024 156 4,593 29,092 2,210 5,236 928 611 761 614 18,731



2002 38,361 38,361 42,050 42,050 32,026 23,924 25,956 35,959 23,893 18,083 21,262 25,413 26,946 23,533 27,410 21,129 42,370 30,120 35,339 35,339 28,995 30,280 29,100 23,091 23,944 25,202 21,477 30,899 40,680 40,183 37,449 43,684 31,497 55,057 43,349 49,543 37,650 43,326 38,312 55,050 56,002 37,676 39,889 25,292 39,629 52,867 30,259 31,323 20,950 25,138 84,591 39,434 28,877 34,980 41,311 55,522 26,482 26,482 35,106 35,106 23,637 23,637 34,879 34,879 22,342 22,342 25,168 25,947 22,397 24,315 27,877 25,527 26,240 22,407 20,813 24,004 23,677 29,818



2000 37,834 37,834 39,406 39,406 30,605 22,026 24,874 33,390 23,533 17,541 20,925 25,335 26,630 22,477 27,067 20,432 40,668 29,939 34,400 34,400 26,304 27,747 25,522 20,984 21,639 24,212 19,726 29,221 39,920 39,625 36,483 42,646 30,339 57,262 42,131 47,449 37,140 42,616 37,045 52,846 56,175 36,975 39,661 24,008 38,937 51,234 28,936 30,463 19,350 24,519 85,789 38,884 27,926 34,194 41,150 55,072 26,071 26,071 32,813 32,813 22,643 22,643 31,666 31,666 21,097 21,097 24,212 25,064 21,749 23,263 26,503 25,058 25,129 20,361 18,999 22,428 22,059 28,313



Percent change,2 2000– 2002 5.7 5.7 15.9 15.9 7.5 10.2 7.1 7.6 3.7 6.7 3.6 4.5 7.9 6.7 5.3 4.3 11.1 5.2 4.1 4.1 10.1 8.4 11.5 12.4 9.6 6.0 11.4 11.0 3.1 4.3 5.3 4.2 8.5 –1.0 4.2 4.6 3.6 3.0 3.9 7.6 1.2 4.9 1.7 13.0 2.6 4.2 4.7 4.0 10.2 2.9 –0.4 4.0 3.2 4.6 1.7 2.1 1.6 1.6 8.1 8.1 9.2 9.2 9.6 9.6 7.3 7.3 7.6 7.4 7.2 7.8 7.3 5.2 8.1 12.8 9.9 9.9 8.0 6.9



Manufacturing 19.1 19.1 2.3 2.3 13.1 13.7 39.4 8.0 28.9 19.6 15.0 37.4 30.1 32.0 23.6 22.4 4.4 27.2 14.9 14.9 7.8 8.1 3.7 18.2 17.9 40.3 28.1 3.5 6.4 11.2 15.4 4.7 4.7 13.5 7.9 5.6 10.5 11.6 8.8 6.9 10.3 5.4 19.9 6.2 4.5 11.8 5.3 15.1 3.7 6.7 2.0 7.1 7.3 (D) 14.4 7.5 33.2 33.2 18.6 18.6 11.7 11.7 1.9 1.9 10.3 10.3 14.6 11.0 16.0 19.2 13.4 21.2 5.4 26.2 7.6 3.5 5.1 14.0



Retail trade 6.8 6.8 9.9 9.9 7.5 13.5 7.3 7.0 12.5 10.2 13.5 9.7 7.7 11.0 8.3 7.2 7.8 8.7 7.6 7.6 6.5 9.2 4.2 (D) 8.6 4.0 6.3 11.0 5.2 7.5 6.2 8.2 13.7 6.1 8.0 8.2 7.8 6.3 4.5 15.6 6.1 9.8 6.8 9.5 4.2 7.7 5.6 8.9 6.1 7.4 2.5 6.9 6.3 8.5 7.2 5.9 7.0 7.0 6.5 6.5 12.5 12.5 11.7 11.7 10.8 10.8 7.8 7.3 7.9 8.4 7.3 8.4 10.2 8.2 8.2 9.3 14.4 6.7



Professional and technical services 6.7 6.7 7.9 7.9 (NA) 2.5 (D) 9.5 3.9 (D) 2.7 2.6 3.0 2.1 5.1 3.5 13.9 (D) 9.4 9.4 (NA) 8.8 11.0 (D) 3.2 2.3 2.5 7.8 12.5 14.0 15.5 15.4 6.4 13.2 9.7 10.6 8.5 13.0 11.8 17.7 14.5 11.1 12.1 5.1 12.7 11.8 6.8 7.0 3.0 6.2 15.8 7.5 3.3 6.3 10.9 12.2 3.9 3.9 8.3 8.3 4.9 4.9 4.6 4.6 (NA) (D) (NA) 6.4 (D) 4.0 (NA) 4.2 6.8 (D) 2.7 8.9 2.9 6.4



Hickman County, TN . . . . . . . . . . . . . . . . . Macon County, TN . . . . . . . . . . . . . . . . . . Robertson County, TN . . . . . . . . . . . . . . . . Rutherford County, TN . . . . . . . . . . . . . . . . Smith County, TN . . . . . . . . . . . . . . . . . . . Sumner County, TN. . . . . . . . . . . . . . . . . . Trousdale County, TN . . . . . . . . . . . . . . . . Williamson County, TN. . . . . . . . . . . . . . . . Wilson County, TN . . . . . . . . . . . . . . . . . . New Haven-Milford, CT. . . . . . . . . . . . . . . . . New Haven County, CT . . . . . . . . . . . . . . . New Orleans-Metairie-Kenner, LA . . . . . . . . . . Jefferson Parish, LA . . . . . . . . . . . . . . . . . Orleans Parish, LA . . . . . . . . . . . . . . . . . . Plaquemines Parish, LA . . . . . . . . . . . . . . . St. Bernard Parish, LA . . . . . . . . . . . . . . . . St. Charles Parish, LA . . . . . . . . . . . . . . . . St. John the Baptist Parish, LA . . . . . . . . . . St. Tammany Parish, LA. . . . . . . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA. . . . . . . . . . . . . . . . . . . . . . . . . Edison, NJ. . . . . . . . . . . . . . . . . . . . . . . . Middlesex County, NJ . . . . . . . . . . . . . . . Monmouth County, NJ . . . . . . . . . . . . . . Ocean County, NJ . . . . . . . . . . . . . . . . . Somerset County, NJ . . . . . . . . . . . . . . . Nassau-Suffolk, NY . . . . . . . . . . . . . . . . . . Nassau County, NY . . . . . . . . . . . . . . . . Suffolk County, NY. . . . . . . . . . . . . . . . . Newark-Union, NJ-PA . . . . . . . . . . . . . . . . Essex County, NJ . . . . . . . . . . . . . . . . . Hunterdon County, NJ . . . . . . . . . . . . . . Morris County, NJ . . . . . . . . . . . . . . . . . Sussex County, NJ. . . . . . . . . . . . . . . . . Union County, NJ. . . . . . . . . . . . . . . . . . Pike County, PA . . . . . . . . . . . . . . . . . . New York-White Plains-Wayne, NY-NJ . . . . . Bergen County, NJ. . . . . . . . . . . . . . . . . Hudson County, NJ . . . . . . . . . . . . . . . . Passaic County, NJ . . . . . . . . . . . . . . . . Bronx County, NY . . . . . . . . . . . . . . . . . Kings County, NY . . . . . . . . . . . . . . . . . New York County, NY . . . . . . . . . . . . . . . Putnam County, NY . . . . . . . . . . . . . . . . Queens County, NY . . . . . . . . . . . . . . . . Richmond County, NY . . . . . . . . . . . . . . Rockland County, NY . . . . . . . . . . . . . . . Westchester County, NY . . . . . . . . . . . . . Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . Berrien County, MI . . . . . . . . . . . . . . . . . . Norwich-New London, CT . New London County, CT Ocala, FL . . . . . . . . . . . . Marion County, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . Cape May County, NJ . . . . . . . . . . . . . . . . . . . Odessa, TX . . . . . . . Ector County, TX . . Ogden-Clearfield, UT . Davis County, UT . . Morgan County, UT . Weber County, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Oklahoma City, OK . . . . Canadian County, OK . Cleveland County, OK . Grady County, OK. . . . Lincoln County, OK . . . Logan County, OK . . . McClain County, OK . . Oklahoma County, OK .



See footnotes at end of table.



240



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance 10.8 10.8 (NA) (D) (D) 12.6 6.3 9.9 2.8 (D) (D) 9.3 16.8 8.8 11.5 8.2 9.5 9.5 (NA) 10.9 1.4 (D) 7.2 7.2 11.4 11.4 13.1 13.1 (NA) 11.6 (D) 10.8 14.7 6.6 4.7 6.7 12.5 13.2 9.1 (NA) (D) 19.7 6.6 5.1 7.1 11.3 11.3 9.6 13.8 9.1 11.7 10.5 8.6 13.1 10.7 13.7 9.1 9.1 8.6 9.3 8.4 8.4 7.5 (NA) (D) 12.1 5.2 12.3 12.6 12.3 13.6 8.8 13.9 12.3 11.5 16.7 16.7 Government and government enterprises 42.2 42.2 15.1 21.7 41.7 15.9 23.1 11.0 38.3 22.6 24.6 11.3 15.5 10.7 18.6 10.1 11.9 11.9 16.8 18.7 5.9 13.9 16.5 16.5 17.1 17.1 29.3 29.3 16.1 12.4 17.9 41.0 18.0 23.9 30.4 23.5 33.4 33.8 31.4 11.5 13.6 12.0 22.4 9.7 16.5 12.5 17.5 16.9 17.9 18.0 11.4 9.3 7.2 9.5 6.2 18.5 11.7 10.8 21.4 15.6 12.6 12.1 34.6 27.7 25.2 26.7 40.5 11.2 10.2 15.6 14.2 13.9 16.4 12.1 13.1 11.4 11.4



2002 Olympia, WA. . . . . . . . . . . . Thurston County, WA. . . . . Omaha-Council Bluffs, NE-IA . Harrison County, IA . . . . . . Mills County, IA . . . . . . . . Pottawattamie County, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,719 6,719 26,012 400 465 2,402 714 17,342 3,574 543 572 48,431 6,128 26,164 3,883 12,256 4,681 4,681 2,759 2,326 171 262 27,006 27,006 13,770 13,770 3,889 3,889 4,054 1,577 174 101 2,200 3,497 388 3,109 10,544 7,404 3,140 10,685 355 5,389 159 3,772 1,010 205,346 40,353 15,985 16,430 7,939 142,093 24,199 21,012 21,327 36,298 39,257 22,900 18,398 2,626 1,875 99,387 95,619 3,768 2,180 190 1,771 219 78,241 46,303 1,789 4,720 5,308 3,519 6,057 10,545 4,437 4,437



2001 6,461 6,461 25,249 389 433 2,322 699 16,906 3,413 537 550 46,354 5,820 25,047 3,647 11,839 4,542 4,542 2,736 2,274 171 291 26,173 26,173 13,281 13,281 3,657 3,657 3,897 1,492 167 99 2,139 3,447 375 3,073 10,229 7,225 3,004 10,498 352 5,288 167 3,696 995 199,176 38,792 15,376 15,804 7,611 138,099 23,668 20,482 20,669 35,386 37,893 22,285 17,940 2,534 1,812 96,477 92,913 3,564 2,138 193 1,721 224 76,386 45,269 1,759 4,632 5,180 3,380 5,889 10,278 4,260 4,260



2000 6,093 6,093 24,230 384 420 2,249 670 16,126 3,324 511 544 44,751 5,460 24,437 3,503 11,351 4,431 4,431 2,698 2,257 173 268 25,364 25,364 12,865 12,865 3,522 3,522 3,785 1,437 160 95 2,094 3,303 360 2,943 9,703 6,852 2,851 10,257 340 5,157 159 3,629 971 193,919 37,035 14,882 14,968 7,184 135,225 22,922 20,245 20,328 34,536 37,194 21,659 17,440 2,442 1,777 92,975 89,772 3,203 2,046 178 1,654 214 74,361 44,298 1,668 4,495 5,028 3,265 5,656 9,950 4,082 4,082



2002 30,828 30,828 33,200 25,650 31,575 27,256 28,802 36,765 27,638 27,263 29,616 27,587 26,085 27,695 19,992 32,110 29,537 29,537 25,014 25,310 20,219 26,351 34,572 34,572 27,762 27,762 25,536 25,536 24,774 25,230 22,892 17,379 25,105 22,833 19,385 23,350 24,884 25,017 24,576 29,170 27,206 29,496 25,439 29,403 28,039 35,753 33,300 36,513 32,108 30,265 36,752 39,717 46,737 38,508 47,461 26,369 34,413 36,047 29,078 28,977 28,481 29,020 19,356 20,501 22,062 21,277 15,128 32,381 36,500 24,929 26,357 29,780 23,988 29,740 28,635 33,263 33,263



2000 29,242 29,242 31,509 24,481 28,832 25,566 27,466 34,717 26,986 25,761 28,959 27,018 25,653 27,083 20,113 30,927 28,217 28,217 24,530 24,639 20,531 26,903 33,523 33,523 26,925 26,925 23,757 23,757 23,013 22,737 21,255 16,087 23,824 21,860 18,749 22,313 23,507 23,284 24,061 27,974 25,866 28,150 25,147 28,249 27,351 34,062 31,157 35,047 29,424 28,139 35,106 38,242 46,461 36,817 45,990 24,572 33,192 34,751 28,244 27,669 28,365 28,993 17,655 19,073 20,768 19,635 14,800 30,610 34,608 23,074 24,814 28,801 21,987 27,863 26,909 30,278 30,278



Percent change,2 2000– 2002 10.3 10.3 7.4 3.9 10.8 6.8 6.5 7.5 7.5 6.1 5.1 8.2 12.2 7.1 10.9 8.0 5.6 5.6 2.2 3.0 –1.4 –2.3 6.5 6.5 7.0 7.0 10.4 10.4 7.1 9.8 9.3 7.2 5.1 5.9 7.7 5.7 8.7 8.1 10.1 4.2 4.3 4.5 0.2 3.9 4.0 5.9 9.0 7.4 9.8 10.5 5.1 5.6 3.8 4.9 5.1 5.5 5.7 5.5 7.5 5.5 6.9 6.5 17.6 6.6 6.8 7.1 2.5 5.2 4.5 7.2 5.0 5.6 7.8 7.1 6.0 8.7 8.7



Manufacturing 4.0 4.0 7.5 6.5 4.9 15.0 15.0 7.0 4.6 8.7 14.8 6.5 5.5 6.7 3.6 6.6 42.3 42.3 24.9 17.8 79.6 5.2 16.6 16.6 16.7 16.7 5.5 5.5 (NA) 22.8 31.8 (D) 21.3 33.7 9.6 35.3 5.3 5.6 4.1 25.0 36.3 15.8 10.3 40.6 26.0 12.1 12.4 12.0 11.5 15.9 12.2 15.9 15.2 13.9 16.5 5.7 11.0 9.7 19.8 19.4 11.2 11.4 6.0 21.2 5.2 22.4 14.4 13.9 11.7 13.1 18.5 23.9 12.0 16.8 21.2 16.8 16.8



Retail trade 9.0 9.0 7.2 11.0 8.8 11.2 9.1 6.9 5.9 8.5 9.2 7.8 10.6 6.5 10.6 11.5 4.6 4.6 7.8 8.7 2.1 7.1 7.4 7.4 8.0 8.0 9.2 9.2 8.9 7.8 3.6 8.8 10.1 6.5 13.2 6.1 7.8 7.6 8.8 6.0 5.6 5.7 12.5 6.2 8.4 6.5 8.5 8.2 7.8 11.1 6.1 9.8 7.8 7.4 6.1 3.7 5.8 5.6 9.1 5.7 8.3 8.3 7.2 6.6 (D) 7.0 4.7 7.0 5.8 11.2 7.9 10.4 12.6 7.4 10.8 8.8 8.8



Professional and technical services 4.2 4.2 (NA) (D) 3.9 3.8 3.1 7.8 6.0 3.7 (D) 9.8 5.4 10.6 2.7 10.6 3.5 3.5 (NA) (D) (D) 1.0 7.7 7.7 9.6 9.6 5.9 5.9 (NA) 3.6 (D) (D) 3.0 (NA) (D) 4.7 6.3 6.6 4.6 (NA) 1.6 12.2 (D) 2.3 2.9 12.4 8.7 8.2 10.3 5.9 13.2 10.5 12.0 12.4 13.9 14.4 (NA) 14.5 (D) 3.0 (NA) 8.6 (D) (NA) 0.4 (D) 0.8 10.4 12.4 4.1 6.8 4.8 4.4 6.0 5.6 6.0 6.0



Cass County, NE . . . . . . . . . . . . Douglas County, NE . . . . . . . . . . Sarpy County, NE . . . . . . . . . . . . Saunders County, NE . . . . . . . . . Washington County, NE . . . . . . . . Orlando - Kissimee, FL . . . . . . . . . . Lake County, FL . . . . . . . . . . . . . Orange County, FL . . . . . . . . . . . Osceola County, FL. . . . . . . . . . . Seminole County, FL . . . . . . . . . . Oshkosh-Neenah, WI . . . . . . . . . . . Winnebago County, WI . . . . . . . . Owensboro, KY . . . . . . . . . . . . . . . Daviess County, KY . . . . . . . . . . Hancock County, KY . . . . . . . . . . McLean County, KY . . . . . . . . . . Oxnard-Thousand Oaks-Ventura, CA. Ventura County, CA. . . . . . . . . . . Palm Bay-Melbourne-Titusville, FL . . Brevard County, FL . . . . . . . . . . . Panama City-Lynn Haven, FL . . . . . Bay County, FL . . . . . . . . . . . . . Parkersburg-Marietta-Vienna, WV-OH Washington County, OH . . . . . . . . Pleasants County, WV . . . . . . . . . Wirt County, WV . . . . . . . . . . . . . Wood County, WV . . . . . . . . . . . Pascagoula, MS . . . . . . . . . . . . . . George County, MS. . . . . . . . . . . Jackson County, MS . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Escambia County, FL . . . . . . . . . Santa Rosa County, FL . . . . . . . . Peoria, IL . . . . . . . . . . . . . . . . . . . Marshall County, IL . . . . . . . . . . . Peoria County, IL . . . . . . . . . . . . Stark County, IL . . . . . . . . . . . . . Tazewell County, IL . . . . . . . . . . . Woodford County, IL . . . . . . . . . . Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . . . . . . . . . Camden, NJ . . . . . . . . . . . . . . . Burlington County, NJ . . . . . . . . Camden County, NJ . . . . . . . . . Gloucester County, NJ . . . . . . . Philadelphia, PA . . . . . . . . . . . . . Bucks County, PA . . . . . . . . . . Chester County, PA . . . . . . . . . Delaware County, PA . . . . . . . . Montgomery County, PA . . . . . . Philadelphia County, PA . . . . . . Wilmington, DE-MD-NJ . . . . . . . . New Castle County, DE . . . . . . Cecil County, MD. . . . . . . . . . . Salem County, NJ . . . . . . . . . . Phoenix-Mesa-Scottsdale, AZ . . . . . Maricopa County, AZ . . . . . . . . . . Pinal County, AZ. . . . . . . . . . . . . Pine Bluff, AR . . . . . . . . . . . . . . . . Cleveland County, AR . . . . . . . . . Jefferson County, AR. . . . . . . . . . Lincoln County, AR . . . . . . . . . . . Pittsburgh, PA . . . . . . . . . . . . . . . . Allegheny County, PA . . . . . . . . . Armstrong County, PA . . . . . . . . . Beaver County, PA . . . . . . . . . . . Butler County, PA . . . . . . . . . . . . Fayette County, PA . . . . . . . . . . . Washington County, PA . . . . . . . . Westmoreland County, PA . . . . . . Pittsfield, MA. . . . . . . . . . . . . . . . . Berkshire County, MA . . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



241



Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance (NA) 10.5 (D) 13.0 14.2 4.9 11.9 9.0 9.9 5.2 9.5 6.6 10.1 11.3 1.4 14.3 14.1 14.4 12.1 12.6 11.6 11.7 11.7 13.0 12.8 10.6 11.2 6.9 14.9 10.9 8.8 3.9 8.8 17.3 17.3 19.4 19.4 11.4 11.4 6.6 8.0 5.7 6.6 (NA) (D) 16.1 10.0 10.0 16.1 16.1 (NA) (D) 9.8 (NA) (D) 2.5 (D) 12 6.7 3.7 (D) (D) (D) 9.7 (D) (D) (D) (D) (D) (D) (D) (12) (14) (13) 6.2 Government and government enterprises 26.8 28.3 14.9 17.3 14.3 16.4 25.9 13.3 11.8 20.1 15.6 7.1 16.6 17.2 45.7 15.4 10.2 21.0 22.7 17.8 27.7 21.6 21.6 16.7 13.9 17.1 13.3 38.5 15.2 22.3 14.6 19.8 14.5 22.7 22.7 13.7 13.7 12.8 12.8 17.1 19.2 16.8 17.1 26.3 37.6 24.6 11.3 11.3 20.2 20.2 14.7 20.9 14.6 19.4 19.1 24.1 19.4 12 16.0 26.0 13 32.0 16.2 11.3 7.1 36.1 15.6 12.5 21.5 38.4 14 53.7 41.3 (12) (14) (13) 27.3



2002 Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . Bannock County, ID . . . . . . . . . . . . . . . . . . . . Power County, ID . . . . . . . . . . . . . . . . . . . . . . Portland-South Portland-Biddeford, ME Cumberland County, ME . . . . . . . . Sagadahoc County, ME . . . . . . . . . York County, ME. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,886 1,726 160 15,849 9,278 1,005 5,566 64,755 12,526 1,238 22,857 14,904 2,206 10,797 229 10,663 5,850 4,813 19,702 9,379 10,323 3,927 3,927 49,645 16,678 1,953 5,533 3,172 17,949 4,360 7,850 166 7,684 3,489 3,489 4,036 4,036 5,785 5,785 28,613 1,214 3,387 24,012 3,171 644 2,526 11,262 11,262 4,558 4,558 13,425 101 13,324 36,061 288 603 185 12 9,096 185 13 1,945 779 3,063 9,623 163 394 732 410 676 14 1,325 257 (12) (14) (13) 6,337



2001 1,830 1,684 146 15,296 8,946 971 5,380 63,892 12,318 1,216 22,505 14,902 2,160 10,566 225 10,181 5,658 4,523 19,256 9,273 9,983 3,713 3,713 48,076 16,198 1,895 5,324 3,044 17,425 4,191 7,704 155 7,549 3,372 3,372 3,797 3,797 5,658 5,658 28,271 1,202 3,340 23,729 3,045 626 2,420 10,960 10,960 4,312 4,312 13,136 100 13,036 35,208 288 568 182 12 8,860 181 13 1,895 764 2,991 9,426 159 385 705 400 657 14 1,285 251 (12) (14) (13) 6,209



2000 1,732 1,577 155 14,576 8,475 918 5,184 62,190 12,416 1,168 21,384 14,881 2,078 10,040 222 9,650 5,347 4,302 18,378 8,858 9,521 3,574 3,574 45,976 15,279 1,841 5,170 3,012 16,611 4,064 7,433 149 7,284 3,262 3,262 3,650 3,650 5,439 5,439 27,062 1,158 3,137 22,767 2,918 570 2,348 10,778 10,778 4,005 4,005 12,418 96 12,323 33,603 265 527 162 12 8,410 177 13 1,841 687 2,737 9,254 155 360 661 370 614 14 1,252 238 (12) (14) (13) 5,894



2002 22,643 22,754 21,512 31,678 34,498 27,955 28,482 32,167 35,543 27,234 33,840 31,578 25,088 29,191 22,728 31,638 44,370 23,458 30,618 32,604 29,013 21,936 21,936 30,796 30,674 38,252 32,555 36,908 28,301 34,289 19,594 19,224 19,603 23,689 23,689 26,932 26,932 30,331 30,331 33,293 24,043 25,502 35,515 27,429 26,210 27,759 29,531 29,531 26,532 26,532 36,763 29,609 36,831 32,067 24,635 26,689 26,273 12 33,586 20,480 13 25,957 44,028 33,366 35,928 24,747 28,594 27,039 28,757 27,867 14 23,474 21,199 (12) (14) (13) 32,237



2000 20,840 20,860 20,640 29,791 31,864 26,039 27,561 32,127 36,564 26,749 32,332 33,183 24,363 28,894 22,450 30,103 42,071 22,240 29,459 31,540 27,755 21,153 21,153 28,976 28,505 36,286 30,865 35,151 26,673 32,768 19,606 18,031 19,641 22,995 22,995 25,653 25,653 28,779 28,779 33,658 24,329 25,442 35,959 25,819 23,515 26,448 28,783 28,783 24,445 24,445 36,026 28,266 36,103 30,548 23,056 23,824 23,366 12 32,225 19,629 13 24,505 40,587 31,457 35,148 23,366 27,293 25,658 27,339 27,174 14 22,552 19,025 (12) (14) (13) 29,852



Percent change,2 2000– 2002 8.9 9.5 2.9 8.7 9.5 9.5 7.4 4.1 0.9 6.0 6.9 0.2 6.1 7.5 2.8 10.5 9.4 11.9 7.2 5.9 8.4 9.9 9.9 8.0 9.2 6.1 7.0 5.3 8.1 7.3 5.6 10.9 5.5 7.0 7.0 10.6 10.6 6.4 6.4 5.7 4.8 8.0 5.5 8.7 13.1 7.6 4.5 4.5 13.8 13.8 8.1 5.5 8.1 7.3 9.0 14.4 14.5 12 8.2 4.6 13 5.7 13.3 11.9 4.0 5.4 9.4 10.7 10.8 10.0 14 5.8 8.0 (12) (14) (13) 7.5



Manufacturing 12.9 10.5 31.5 9.4 8.0 (D) 16.0 15.5 15.3 24.2 9.3 28.1 22.5 12.4 10.8 5.4 6.0 4.7 16.7 26.1 7.2 6.1 6.1 16.0 21.2 17.9 16.9 9.9 12.9 17.5 12.5 15.4 12.5 10.6 10.6 2.5 2.5 36.2 36.2 9.9 25.0 25.2 8.4 7.1 5.1 7.5 24.4 24.4 5.1 5.1 8.1 24.7 8.1 10.4 9.6 6.8 17.2 12 14.4 (D) 13 14.2 4.0 10.0 7.2 12.5 35.9 17.9 5.0 1.8 14 5.9 7.9 (12) (14) (13) 9.6



Retail trade 8.3 9.1 2.8 8.6 8.4 5.1 9.9 6.6 7.9 8.2 5.7 7.2 7.3 7.3 3.7 10.7 11.2 10.1 8.4 6.9 10.0 10.8 10.8 7.9 10.1 7.4 10.2 6.4 5.7 10.4 8.4 7.5 8.4 9.7 9.7 12.1 12.1 6.4 6.4 7.5 8.8 9.6 7.3 9.0 6.0 9.5 7.7 7.7 10.8 10.8 7.7 4.2 7.7 6.2 6.1 8.6 (D) 12 9.2 11.3 13 11.0 4.6 8.6 7.6 4.3 7.7 4.7 10.2 5.7 (D) 6.9 (12) (14) (13) 3.1



Professional and technical services (NA) 4.7 (D) 7.5 8.9 4.2 4.4 8.6 8.0 3.3 10.1 6.1 3.3 9.8 5.4 7.1 9.6 4.5 6.0 5.3 6.7 5.3 5.3 (NA) 5.4 (D) 8.2 9.6 6.9 (D) 8.5 7.0 8.5 2.7 2.7 6.9 6.9 4.8 4.8 (NA) 3.4 (D) 12.6 4.3 3.3 4.4 7.2 7.2 5.9 5.9 7.0 2.4 7.1 (NA) 2.6 (NA) (D) 12 6.6 2.1 (D) 7.1 5.2 9.1 3.9 (D) (D) (D) 5.0 (D) (D) (12) (14) (13) 13.0



Portland-Vancouver-Beaverton, OR-WA . . . Clackamas County, OR . . . . . . . . . . . . Columbia County, OR . . . . . . . . . . . . . Multnomah County, OR . . . . . . . . . . . . Washington County, OR . . . . . . . . . . . . Yamhill County, OR . . . . . . . . . . . . . . . Clark County, WA . . . . . . . . . . . . . . . . Skamania County, WA . . . . . . . . . . . . . Port St. Lucie-Fort Pierce, FL. . . . . . . . . . Martin County, FL . . . . . . . . . . . . . . . . St. Lucie County, FL . . . . . . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Dutchess County, NY . . . . . . . . . . . . . Orange County, NY . . . . . . . . . . . . . . . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Yavapai County, AZ. . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA. Bristol County, MA . . . . . . . . . . . . . . . Bristol County, RI . . . . . . . . . . . . . . . . Kent County, RI . . . . . . . . . . . . . . . . . Newport County, RI . . . . . . . . . . . . . . . Providence County, RI . . . . . . . . . . . . . Washington County, RI . . . . . . . . . . . . Provo-Orem, UT . . . . . . . . . . . . . . . . . . Juab County, UT. . . . . . . . . . . . . . . . . Utah County, UT. . . . . . . . . . . . . . . . . Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . Pueblo County, CO . . . . . . . . . . . . . . . Punta Gorda, FL . . . . . . . . . . . . . . . . . . Charlotte County, FL . . . . . . . . . . . . . . Racine, WI . . . . . . . . . . . . . . . . . . . . . . Racine County, WI . . . . . . . . . . . . . . . Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . Franklin County, NC . . . . . . . . . . . . . . Johnston County, NC. . . . . . . . . . . . . . Wake County, NC . . . . . . . . . . . . . . . . Rapid City, SD . . . . . . . . . . . . . . . . . . . Meade County, SD . . . . . . . . . . . . . . . Pennington County, SD . . . . . . . . . . . . Reading, PA . . . . . . . . . . . . . . . . . . . . . Berks County, PA . . . . . . . . . . . . . . . . Redding, CA . . . . . . . . . . . . . . . . . . . . . Shasta County, CA . . . . . . . . . . . . . . . Reno-Sparks, NV. . . . . . . . . . . . . . . . . . Storey County, NV . . . . . . . . . . . . . . . Washoe County, NV . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . . . . . . . . . Amelia County, VA . . . . . . . . . . . . . . . Caroline County, VA . . . . . . . . . . . . . . Charles City County, VA. . . . . . . . . . . . Chesterfield County, VA . . . . . . . . . . . . Cumberland County, VA . . . . . . . . . . . . Dinwiddie County, VA . . . . . . . . . . . . . Goochland County, VA. . . . . . . . . . . . . Hanover County, VA . . . . . . . . . . . . . . Henrico County, VA . . . . . . . . . . . . . . . King and Queen County, VA . King William County, VA. . . . Louisa County, VA . . . . . . . New Kent County, VA . . . . . Powhatan County, VA . . . . . Prince George County, VA Sussex County, VA . . . . . Colonial Heights city, VA . Hopewell city, VA . . . . . . Petersburg city, VA . . . . . Richmond city, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



242



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance 9.5 9.0 10.0 (NA) (D) (D) (D) (D) 16.7 (15) (NA) (D) 39.4 11.6 (NA) 8.3 10.4 12.4 (D) 7.0 (NA) (D) 13.8 (NA) (D) 8.1 16.5 16.5 8.1 9.7 8.9 8.2 5.4 13.3 13.3 (NA) (D) 13.8 12.6 12.6 (NA) (D) 7.7 14.1 (D) (NA) (D) (D) 10.3 (D) (D) 10.8 7.5 12.2 8.3 10.1 (D) 9.8 9.2 (D) (D) 10.2 12.8 13.3 8.4 6.6 6.6 (NA) (D) 17.1 (NA) 7.4 3.9 (D) Government and government enterprises 21.5 20.6 22.4 13.7 12.6 34.0 15.5 15 15.3 12.1 (15) 9.3 17.9 8.5 15.2 14.2 40.8 11.1 19.1 41.8 29.4 10.6 9.2 10.8 16.7 21.3 14.1 14.2 14.2 28.7 16.2 11.2 32.7 31.6 12.6 12.6 15.4 10.0 16.4 14.8 14.8 17.5 23.9 22.4 15.2 50.0 12.8 26.0 24.6 21.6 26.7 20.4 15.9 15.8 32.2 12.1 18.1 19.5 11.7 7.6 14.9 37.8 17.0 30.4 30.1 33.3 21.8 21.8 21.2 46.5 17.0 15.6 15.3 11.4 36.1



2002 Riverside-San Bernardino-Ontario, CA . . . . . . . . . . Riverside County, CA . . . . . . . . . . . . . . . . . . . San Bernardino County, CA . . . . . . . . . . . . . . . Roanoke, VA. . . . . . . . . Botetourt County, VA . . Craig County, VA . . . . Franklin County, VA. . . Roanoke County, VA . . Roanoke city, VA . . . . Salem city, VA . . . . . . Rochester, MN . . . . . . . Dodge County, MN . . . Olmsted County, MN . . Wabasha County, MN . Rochester, NY. . . . . . . . Livingston County, NY . Monroe County, NY. . . Ontario County, NY . . . Orleans County, NY . . Wayne County, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,301 42,068 42,232 8,467 980 116 1,192 15 3,654 2,526 (15) 5,741 536 4,572 633 31,716 1,522 23,927 2,930 942 2,395 8,861 1,225 7,636 3,548 1,236 2,313 2,346 2,346 59,829 6,051 10,328 38,569 4,881 5,306 5,306 4,593 975 3,618 1,994 1,994 2,940 173 443 2,139 185 88,410 438 119 1,008 582 1,209 7,290 915 6,928 2,571 5,190 977 9,151 41,755 662 423 9,194 9,032 7,398 1,634 13,091 13,091 2,712 499 2,213 28,540 26,184 1,439 917



2001 80,077 39,794 40,284 8,183 946 113 1,152 15 3,542 2,431 (15) 5,501 511 4,381 609 31,203 1,495 23,536 2,896 912 2,364 8,669 1,201 7,468 3,532 1,230 2,302 2,245 2,245 57,497 5,805 9,869 37,102 4,720 5,255 5,255 4,379 937 3,443 1,877 1,877 2,861 169 435 2,072 185 86,138 427 116 989 571 1,188 7,067 902 6,649 2,504 5,065 938 8,803 40,929 638 405 8,948 8,733 7,166 1,567 12,699 12,699 2,640 494 2,146 27,937 25,658 1,402 877



2000 74,787 37,015 37,772 7,808 882 111 1,112 15 3,363 2,340 (15) 5,103 472 4,064 567 30,455 1,475 22,905 2,827 901 2,348 8,722 1,178 7,544 3,422 1,206 2,216 2,110 2,110 54,236 5,596 9,153 35,017 4,470 5,374 5,374 4,219 862 3,357 1,752 1,752 2,816 163 415 2,056 182 84,222 413 114 946 543 1,176 6,840 855 6,445 2,421 4,879 884 8,528 40,644 595 380 8,561 8,515 6,981 1,535 12,097 12,097 2,503 455 2,048 27,081 24,924 1,336 820



2002 24,073 24,814 23,379 29,283 31,482 22,763 24,582 15 32,911 27,033 (15) 33,829 28,883 35,389 28,835 30,499 23,512 32,506 28,788 21,623 25,551 27,138 27,357 27,103 24,650 22,469 25,998 25,337 25,337 31,069 36,561 37,083 29,631 27,114 25,297 25,297 26,626 26,877 26,559 20,059 20,059 23,885 21,186 26,528 25,103 14,218 32,462 24,541 23,718 28,131 26,449 24,671 27,947 31,488 26,909 26,783 25,465 23,050 30,181 41,126 25,398 17,893 27,352 25,214 25,208 25,241 31,842 31,842 24,312 19,594 25,708 28,674 28,539 45,121 19,947



2000 22,810 23,730 21,974 27,073 28,844 21,741 23,441 15 30,425 24,697 (15) 31,044 26,414 32,556 26,149 29,329 22,914 31,134 28,155 20,391 25,039 27,169 28,002 27,044 23,919 21,808 25,249 23,240 23,240 29,993 35,602 36,425 28,468 26,330 25,596 25,596 25,104 24,996 25,132 19,206 19,206 22,718 19,706 25,099 23,889 13,919 31,174 23,382 22,386 26,605 25,043 24,001 26,401 30,779 25,151 25,736 24,542 22,506 29,800 39,989 24,063 16,208 24,687 24,453 24,443 24,499 30,015 30,015 22,832 18,400 24,123 27,852 27,674 44,546 19,683



Percent change,2 2000– 2002 12.7 13.7 11.8 8.5 11.1 4.6 7.1 15 8.7 8.0 (15) 12.5 13.7 12.5 11.7 4.1 3.2 4.5 3.7 4.6 2.0 1.6 4.0 1.2 3.7 2.5 4.4 11.2 11.2 10.3 8.1 12.8 10.1 9.2 –1.3 –1.3 8.9 13.2 7.7 13.8 13.8 4.4 6.6 6.6 4.0 1.4 5.0 6.2 4.2 6.5 7.2 2.8 6.6 7.0 7.5 6.2 6.4 10.5 7.3 2.7 11.3 11.3 7.4 6.1 6.0 6.5 8.2 8.2 8.4 9.7 8.1 5.4 5.1 7.7 11.8



Manufacturing 10.6 10.1 11.1 (NA) 28.3 (D) 24.9 15 21.0 6.8 (15) 20.2 25.2 19.2 32.3 24.1 12.2 25.2 19.6 14.5 25.4 30.8 44.3 29.2 24.3 19.8 26.8 26.7 26.7 7.2 3.9 12.6 6.2 8.3 31.6 31.6 19.3 29.7 17.4 6.0 6.0 18.1 20.2 2.9 19.9 (D) (NA) 15.4 (D) 9.5 2.7 9.8 24.8 4.3 7.6 31.3 12.5 18.0 17.3 14.2 30.2 17.3 12.4 9.2 8.6 14.0 5.1 5.1 10.8 2.1 12.2 10.1 10.2 4.0 12.2



Retail trade 9.4 9.9 9.0 8.1 4.7 7.0 9.1 15 7.8 8.7 (15) 5.8 5.1 5.8 7.5 6.4 9.6 5.8 11.2 6.4 8.0 6.8 6.5 6.8 7.8 6.7 8.4 7.1 7.1 7.5 9.2 11.2 6.8 6.8 7.5 7.5 9.9 7.3 10.4 13.1 13.1 8.2 3.8 14.1 8.1 8.2 6.2 6.0 12.1 11.0 13.7 8.0 8.7 12.7 7.2 9.8 10.2 11.0 9.3 6.4 10.3 9.5 2.2 7.3 7.6 5.6 7.5 7.5 8.3 5.8 8.7 7.5 7.5 8.3 5.8



Professional and technical services 4.6 4.8 4.3 (NA) 4.7 (D) 2.8 15 6.2 9.1 (15) 4.2 2.9 4.4 2.0 (NA) 3.0 7.9 4.0 (D) 5.4 (NA) (D) 4.0 2.6 1.6 3.2 3.3 3.3 8.3 15.6 6.3 8.5 5.7 3.8 3.8 (NA) (D) 3.8 4.5 4.5 (NA) (D) 4.3 3.0 1.2 (NA) (D) (D) 3.7 5.5 3.8 4.9 6.2 7.8 3.5 3.2 2.2 6.1 9.4 (D) 0.9 10.2 4.1 4.2 2.9 5.3 5.3 (NA) 1.8 (D) (NA) 10.0 7.4 (D)



Rockford, IL . . . . . . . . . . . . . . . . . . . . . . Boone County, IL . . . . . . . . . . . . . . . . . Winnebago County, IL . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . . . Edgecombe County, NC. . . . . . . . . . . . . Nash County, NC . . . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . . . Floyd County, GA . . . . . . . . . . . . . . . . . Sacramento—Arden-Arcade—Roseville, CA . El Dorado County, CA . . . . . . . . . . . . . . Placer County, CA . . . . . . . . . . . . . . . . Sacramento County, CA. . . . . . . . . . . . . Yolo County, CA . . . . . . . . . . . . . . . . . . Saginaw-Saginaw Township North, Saginaw County, MI . . . . . . . . St. Cloud, MN . . . . . . . . . . . . . . Benton County, MN . . . . . . . . . Stearns County, MN . . . . . . . . St. George, UT . . . . . . . . . . . . . Washington County, UT . . . . . . St. Joseph, MO-KS . . . . . . . . . . Doniphan County, KS . . . . . . . Andrew County, MO . . . . . . . . Buchanan County, MO. . . . . . . DeKalb County, MO . . . . . . . . St. Louis, MO-IL4 . . . . . . . . . . . . Bond County, IL . . . . . . . . . . . Calhoun County, IL . . . . . . . . . Clinton County, IL . . . . . . . . . . Jersey County, IL . . . . . . . . . . Macoupin County, IL . . . . . . . . Madison County, IL . . . . . . . . . Monroe County, IL . . . . . . . . . St. Clair County, IL . . . . . . . . . Franklin County, MO . . . . . . . . Jefferson County, MO . . . . . . . Lincoln County, MO. . . . . . . . . St. Charles County, MO . . . . . . St. Louis County, MO . . . . . . . Warren County, MO. . . . . . . . . Washington County, MO . . . . . St. Louis city, MO . . . . . . . . . . Salem, OR . . . . . . . . . . . . . . . . Marion County, OR . . . . . . . . . Polk County, OR. . . . . . . . . . . Salinas, CA . . . . . . . . . . . . . . . Monterey County, CA . . . . . . . MI . ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . Somerset County, MD . . . . . . . . . . . . . . . . . . . Wicomico County, MD . . . . . . . . . . . . . . . . . . . Salt Lake City, UT . . . . Salt Lake County, UT Summit County, UT . . Tooele County, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



243



Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance 14.8 1.5 14.9 (NA) (D) 6.2 9.8 9.4 (D) 5.9 (D) (D) 7.0 7.0 9.5 9.5 7.3 9.4 9.3 9.6 5.6 10.0 4.8 5.7 5.3 3.6 5.3 10.0 10.0 8.7 8.7 9.5 9.5 9.6 9.6 10.3 10.3 13.1 9.1 16.1 (NA) (D) 13.1 (D) 14.4 16.0 13.8 7.6 7.6 6.9 6.7 7.9 12.6 12.6 9.1 9.1 16.0 16.0 (NA) 7.3 15.7 (D) (NA) 16.2 (D) (D) 7.1 (NA) (D) (D) 16.8 9.9 (NA) 12.7 (D) Government and government enterprises 27.5 24.2 27.5 22.9 20.9 24.8 23.3 12.8 19.6 15.1 32.9 32.5 22.8 22.8 13.9 13.9 12.6 14.7 16.5 11.2 11.0 9.1 14.0 6.7 7.6 18.4 7.5 21.1 21.1 19.8 19.8 16.1 16.1 26.0 26.0 13.5 13.5 9.6 10.4 9.0 19.7 23.7 19.4 23.0 14.2 13.2 15.3 10.3 14.4 12.0 11.2 17.6 30.6 30.6 9.8 9.8 12.5 12.5 23.8 40.3 19.0 16.9 12.2 14.7 8.5 14.9 4.7 9.4 9.2 14.1 9.3 16.6 10.7 9.9 21.3



2002 San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . Irion County, TX . . . . . . . . . . . . . . . . . . . . . . . Tom Green County, TX . . . . . . . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . . . . . Atascosa County, TX . . . . . . . . . . . . . . Bandera County, TX . . . . . . . . . . . . . . Bexar County, TX . . . . . . . . . . . . . . . . Comal County, TX. . . . . . . . . . . . . . . . Guadalupe County, TX. . . . . . . . . . . . . Kendall County, TX . . . . . . . . . . . . . . . Medina County, TX . . . . . . . . . . . . . . . Wilson County, TX . . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA . . . . San Diego County, CA. . . . . . . . . . . . . Sandusky, OH . . . . . . . . . . . . . . . . . . . . Erie County, OH . . . . . . . . . . . . . . . . . San Francisco-Oakland-Fremont, CA . . . Oakland-Fremont-Hayward, CA . . . . . . . Alameda County, CA . . . . . . . . . . . . Contra Costa County, CA . . . . . . . . . San Francisco-San Mateo-Redwood City, Marin County, CA . . . . . . . . . . . . . . San Francisco County, CA. . . . . . . . . San Mateo County, CA . . . . . . . . . . . San Jose-Sunnyvale-Santa Clara, CA . . . . San Benito County, CA . . . . . . . . . . . . Santa Clara County, CA . . . . . . . . . . . . San Luis Obispo-Paso Robles, CA . . . . . . San Luis Obispo County, CA. . . . . . . . . Santa Barbara-Santa Maria, CA . . . . . . . . Santa Barbara County, CA . . . . . . . . . . Santa Cruz-Watsonville, CA. . . . . . . . . . . Santa Cruz County, CA . . . . . . . . . . . . Santa Fe, NM . . . . . . . . . . . . . . . . . . . . Santa Fe County, NM . . . . . . . . . . . . . Santa Rosa-Petaluma, CA. . . . . . . . . . . . Sonoma County, CA . . . . . . . . . . . . . . Sarasota-Bradenton-Venice, FL . . . . . . . . Manatee County, FL . . . . . . . . . . . . . . Sarasota County, FL . . . . . . . . . . . . . . Savannah, GA . . . . . . . . . . . . . . . . . . . Bryan County, GA . . . . . . . . . . . . . . . . Chatham County, GA. . . . . . . . . . . . . . Effingham County, GA . . . . . . . . . . . . . Scranton—Wilkes-Barre, PA . . . . . . . . . . Lackawanna County, PA . . . . . . . . . . . Luzerne County, PA . . . . . . . . . . . . . . Wyoming County, PA . . . . . . . . . . . . . . Seattle-Tacoma-Bellevue, WA . . . . . . . . Seattle-Bellevue-Everett, WA . . . . . . . . King County, WA . . . . . . . . . . . . . . . Snohomish County, WA . . . . . . . . . . Tacoma, WA . . . . . . . . . . . . . . . . . . . Pierce County, WA . . . . . . . . . . . . . . Sheboygan, WI . . . . . . . . . . . . . . . . . . . Sheboygan County, WI . . . . . . . . . . . . ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... CA. ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,684 44 2,640 48,884 809 486 40,373 2,471 2,257 841 842 805 101,293 101,293 2,378 2,378 195,396 99,478 55,624 43,854 95,918 16,945 41,634 37,339 79,596 1,598 77,998 7,599 7,599 13,701 13,701 9,707 9,707 4,417 4,417 17,391 17,391 23,264 9,093 14,171 8,449 637 6,877 936 15,279 6,090 8,529 660 118,739 97,372 77,524 19,848 21,368 21,368 3,465 3,465 2,644 2,644 9,789 2,399 6,856 535 3,869 2,778 452 160 480 6,223 817 163 5,001 242 8,947 7,656 1,290



2001 2,624 42 2,582 47,317 779 465 39,175 2,364 2,170 799 810 755 97,141 97,141 2,340 2,340 200,185 100,157 56,378 43,780 100,027 17,215 43,188 39,624 85,586 1,607 83,979 7,300 7,300 13,272 13,272 9,841 9,841 4,147 4,147 17,209 17,209 22,345 8,772 13,573 8,127 613 6,612 902 14,901 5,954 8,314 634 117,090 96,461 76,977 19,484 20,629 20,629 3,361 3,361 2,609 2,609 9,490 2,304 6,667 518 3,816 2,723 441 160 492 5,977 779 162 4,792 244 8,704 7,442 1,262



2000 2,523 41 2,482 45,997 743 460 38,190 2,296 2,077 736 777 719 92,654 92,654 2,280 2,280 199,989 98,209 55,791 42,418 101,780 16,766 43,284 41,730 92,947 1,561 91,386 6,801 6,801 12,911 12,911 10,015 10,015 3,846 3,846 16,778 16,778 21,027 8,088 12,939 7,879 567 6,459 854 14,643 5,755 8,249 639 115,203 95,786 77,272 18,515 19,417 19,417 3,249 3,249 2,559 2,559 9,064 2,235 6,332 497 3,712 2,653 431 158 470 5,648 697 166 4,545 241 8,315 7,049 1,265



2002 25,556 25,241 25,562 27,368 19,654 25,625 27,910 29,171 23,919 33,206 20,672 23,421 34,872 34,872 30,155 30,155 46,920 40,516 37,945 44,326 56,120 68,650 54,639 53,315 45,925 28,660 46,499 30,145 30,145 34,103 34,103 38,323 38,323 32,932 32,932 37,331 37,331 37,509 32,469 41,658 28,054 25,235 29,274 22,802 27,602 28,846 27,120 23,618 38,037 40,735 44,135 31,312 29,221 29,221 30,612 30,612 23,274 23,274 25,984 23,811 27,397 20,757 27,112 26,877 22,194 25,849 37,416 31,947 29,428 27,916 32,776 28,109 28,153 28,742 25,100



2000 23,864 22,997 23,879 26,752 19,087 25,765 27,321 29,137 23,103 30,715 19,692 21,969 32,797 32,797 28,652 28,652 48,347 40,853 38,466 44,484 58,746 67,710 55,735 58,913 53,408 28,990 54,188 27,459 27,459 32,298 32,298 39,153 39,153 29,627 29,627 36,447 36,447 35,476 30,440 39,567 26,863 24,075 27,842 22,588 26,171 27,031 25,893 22,803 37,746 40,793 44,437 30,393 27,582 27,582 28,819 28,819 23,052 23,052 24,103 22,667 25,136 19,464 25,953 25,548 21,266 25,027 37,296 30,005 28,375 28,323 30,506 27,206 26,228 26,515 24,735



Percent change,2 2000– 2002 6.4 7.7 6.4 6.3 8.9 5.8 5.7 7.7 8.7 14.2 8.3 11.9 9.3 9.3 4.3 4.3 –2.3 1.3 –0.3 3.4 –5.8 1.1 –3.8 –10.5 –14.4 2.4 –14.7 11.7 11.7 6.1 6.1 –3.1 –3.1 14.9 14.9 3.7 3.7 10.6 12.4 9.5 7.2 12.3 6.5 9.6 4.3 5.8 3.4 3.3 3.1 1.7 0.3 7.2 10.0 10.0 6.6 6.6 3.3 3.3 8.0 7.3 8.3 7.7 4.2 4.7 4.7 1.1 2.1 10.2 17.4 –1.7 10.0 0.4 7.6 8.6 2.0



Manufacturing 10.1 1.9 10.1 6.5 3.3 1.3 5.5 16.3 29.4 8.9 4.9 5.4 9.9 9.9 32.1 32.1 8.2 12.4 14.1 9.1 4.7 2.8 2.0 9.8 29.3 14.8 29.4 6.6 6.6 9.4 9.4 9.6 9.6 2.6 2.6 15.8 15.8 8.4 11.7 5.9 14.7 5.5 13.8 35.9 17.8 18.4 15.8 38.7 14.1 15.0 12.7 30.0 8.4 8.4 46.3 46.3 24.3 24.3 10.8 5.8 11.8 21.2 (NA) 14.3 49.7 (D) 18.3 10.2 13.6 5.2 10.2 4.1 23.5 23.0 30.0



Retail trade 7.5 (D) 7.6 7.9 10.5 10.6 7.4 15.2 8.8 19.0 9.9 10.3 6.7 6.7 6.4 6.4 6.5 7.1 6.8 7.5 6.0 8.7 4.8 7.1 4.9 9.7 4.8 9.9 9.9 8.0 8.0 9.7 9.7 10.7 10.7 8.5 8.5 9.6 9.0 10.1 7.7 9.1 7.7 7.4 8.5 9.8 7.9 5.8 6.4 6.3 6.0 7.9 7.8 7.8 5.4 5.4 9.9 9.9 7.1 7.6 7.1 5.4 6.7 8.7 4.6 2.1 1.4 8.2 7.8 9.3 8.2 6.8 7.2 7.2 7.6



Professional and technical services (NA) (D) 3.3 (NA) 3.5 4.7 7.0 4.4 (D) 7.0 3.6 2.8 12.6 12.6 2.4 2.4 15.9 11.6 11.8 11.1 19.5 17.6 21.2 17.3 17.9 3.3 18.0 7.3 7.3 10.1 10.1 10.0 10.0 10.0 10.0 8.0 8.0 10.0 12.4 8.2 5.3 5.5 5.4 3.5 5.1 5.6 5.0 1.9 9.3 10.1 10.9 4.6 4.4 4.4 3.8 3.8 3.5 3.5 (NA) (D) 5.5 1.8 (NA) 4.3 1.3 (D) 3.5 4.1 3.7 3.3 4.1 3.3 6.5 6.8 2.8



Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . Grayson County, TX . . . . . . . . . . . . . . . . . . . . Shreveport-Bossier City, Bossier Parish, LA . . Caddo Parish, LA . . . De Soto Parish, LA . . LA . ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Sioux City, IA-NE-SD . . . . . . . Woodbury County, IA. . . . . . Dakota County, NE . . . . . . . Dixon County, NE . . . . . . . . Union County, SD . . . . . . . . Sioux Falls, SD . . . . . . . . . . . Lincoln County, SD . . . . . . . McCook County, SD . . . . . . Minnehaha County, SD . . . . Turner County, SD . . . . . . . South Bend-Mishawaka, IN-MI . St. Joseph County, IN . . . . . Cass County, MI . . . . . . . . .



See footnotes at end of table.



244



State and Metropolitan Area Data Book: 2006

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Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance 7.2 7.2 14.6 14.6 (NA) (D) 15.8 14.2 10.9 15.5 10.8 (NA) 5.6 6.3 16.2 (D) (D) 14.0 14.0 7.8 7.8 9.8 9.8 8.5 8.5 (NA) (D) 10.8 9.5 (NA) 3.6 (D) 10.6 (D) 11.0 17.9 8.5 19.7 12.9 (NA) 6.5 (D) (D) 13.3 16.1 5.0 20.3 (NA) (D) 14.4 (D) 6.0 (NA) (D) (D) (D) 12.9 4.7 8.3 8.3 11.6 11.6 (NA) 11.4 (D) 4.9 12.4 6.1 9.2 (D) (NA) (D) (D) 7.5 Government and government enterprises 13.9 13.9 20.3 20.3 32.8 26.5 32.9 19.6 16.0 17.6 28.7 13.2 14.9 20.7 12.1 25.7 20.8 16.0 16.0 42.4 42.4 19.9 19.9 36.4 36.4 17.0 20.9 15.7 25.8 40.0 38.8 30.9 40.5 30.6 13.0 18.9 13.5 19.3 11.2 19.4 16.1 38.2 13.4 18.6 23.1 12.7 27.0 15.5 10.8 15.1 16.8 18.7 23.4 25.7 29.6 42.1 22.7 26.4 24.0 24.0 24.6 24.6 9.6 15.9 32.7 30.3 28.4 18.1 7.9 23.2 24.6 27.5 24.6 24.5



2002 Spartanburg, SC . . . . . . . Spartanburg County, SC Spokane, WA . . . . . . . . . Spokane County, WA . . Springfield, IL . . . . . . . . . Menard County, IL . . . . Sangamon County, IL . . Springfield, MA . . . . . . . . Franklin County, MA . . . Hampden County, MA . . Hampshire County, MA . Springfield, MO . . . . . . . . Christian County, MO . . Dallas County, MO . . . . Greene County, MO . . . Polk County, MO . . . . . Webster County, MO . . . Springfield, OH . . . . . . . . Clark County, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,523 6,523 11,382 11,382 6,416 355 6,061 20,066 2,183 13,422 4,461 9,705 1,389 338 6,842 528 608 3,762 3,762 3,560 3,560 14,788 14,788 2,270 2,270 18,423 1,839 13,839 2,745 8,547 935 321 6,749 542 73,986 3,374 31,151 8,774 30,688 3,934 593 434 403 2,505 3,128 960 2,168 18,891 1,147 13,093 1,220 3,432 6,401 333 449 382 5,068 169 14,582 14,582 22,213 22,213 26,827 1,510 761 1,012 361 1,880 19,965 1,337 4,871 187 325 4,360



2001 6,327 6,327 11,072 11,072 6,266 354 5,913 19,420 2,101 13,017 4,302 9,333 1,330 322 6,581 509 591 3,763 3,763 3,394 3,394 14,274 14,274 2,176 2,176 17,726 1,786 13,312 2,628 8,288 899 310 6,547 532 71,522 3,225 29,829 8,367 30,101 3,838 580 434 398 2,427 3,009 931 2,077 18,452 1,135 12,767 1,201 3,349 6,233 326 438 380 4,921 169 14,263 14,263 21,246 21,246 26,336 1,491 732 972 349 1,828 19,659 1,305 4,705 181 311 4,213



2000 6,190 6,190 10,890 10,890 5,996 340 5,656 18,766 2,022 12,569 4,174 8,792 1,253 302 6,192 480 565 3,735 3,735 3,266 3,266 13,757 13,757 2,150 2,150 17,566 1,748 13,174 2,644 7,958 883 308 6,255 512 68,891 3,087 28,646 7,844 29,314 3,771 597 423 387 2,364 2,885 849 2,036 18,305 1,128 12,669 1,193 3,314 6,023 310 418 362 4,770 162 13,872 13,872 20,514 20,514 24,984 1,421 690 922 332 1,730 18,669 1,220 4,517 175 298 4,044



2002 25,182 25,182 26,637 26,637 31,430 28,223 31,640 29,302 30,291 29,239 29,026 25,622 23,449 21,244 28,122 19,085 18,606 26,159 26,159 25,394 25,394 24,119 24,119 21,577 21,577 28,257 26,357 30,119 22,365 26,302 20,563 23,362 28,056 21,514 29,728 24,401 29,602 23,529 33,167 23,196 22,359 19,849 24,308 23,930 23,931 23,275 24,233 28,612 27,097 28,799 29,768 28,055 28,398 25,947 24,009 22,760 29,757 24,960 40,711 40,711 25,278 25,278 30,627 22,003 19,178 22,420 21,482 24,998 35,030 22,106 25,152 18,862 17,806 26,339



2000 24,331 24,331 26,012 26,012 29,745 27,168 29,916 27,578 28,272 27,535 27,380 23,789 22,809 19,242 25,732 17,745 18,068 25,825 25,825 24,020 24,020 24,213 24,213 20,528 20,528 27,007 25,167 28,736 21,580 24,791 19,589 23,821 26,061 22,269 28,655 23,479 28,558 22,583 31,787 22,081 22,473 19,466 23,081 22,362 22,237 20,994 22,799 27,767 26,775 27,851 29,107 27,344 26,787 24,430 22,661 21,617 28,052 23,541 39,455 39,455 24,172 24,172 29,008 21,040 17,399 20,687 19,882 24,249 33,115 21,139 23,362 17,551 16,293 24,497



Percent change,2 2000– 2002 5.4 5.4 4.5 4.5 7.0 4.5 7.2 6.9 8.0 6.8 6.9 10.4 10.8 12.0 10.5 9.9 7.7 0.7 0.7 9.0 9.0 7.5 7.5 5.6 5.6 4.9 5.2 5.0 3.8 7.4 5.9 4.4 7.9 5.8 7.4 9.3 8.7 11.8 4.7 4.3 –0.7 2.4 4.1 6.0 8.4 13.0 6.5 3.2 1.7 3.3 2.2 3.6 6.3 7.6 7.3 5.5 6.2 4.3 5.1 5.1 8.3 8.3 7.4 6.3 10.3 9.8 8.9 8.6 6.9 9.6 7.9 6.9 8.9 7.8



Manufacturing 32.9 32.9 10.1 10.1 3.4 0.7 3.4 14.3 22.8 14.9 8.2 15.1 13.4 8.5 15.6 7.4 16.7 25.3 25.3 10.5 10.5 10.0 10.0 21.3 21.3 16.3 14.1 16.4 17.0 2.5 9.7 2.4 1.6 14.7 7.4 4.4 5.8 4.6 10.3 21.7 29.8 8.6 32.8 20.7 13.0 27.0 7.7 23.5 47.9 19.8 20.5 31.4 9.3 7.4 6.7 9.4 9.4 18.3 4.4 4.4 13.3 13.3 21.0 23.0 19.8 10.9 4.8 29.1 20.8 20.0 21.2 14.9 25.8 21.2



Retail trade 7.7 7.7 9.6 9.6 6.0 7.9 6.0 7.7 7.4 7.7 7.8 10.7 12.8 13.6 10.4 10.9 13.0 10.2 10.2 6.5 6.5 9.4 9.4 6.5 6.5 6.6 8.6 6.3 7.2 6.3 5.6 6.0 6.4 5.8 8.2 11.8 7.4 13.7 8.5 11.1 12.0 7.7 9.4 11.5 10.1 8.2 10.8 7.3 5.4 7.7 9.1 5.8 8.1 10.3 5.5 11.6 8.0 5.8 4.9 4.9 8.0 8.0 7.4 8.3 10.4 5.7 11.6 7.3 7.3 9.6 7.2 5.1 5.5 7.3



Professional and technical services 4.1 4.1 6.5 6.5 6.3 4.7 6.3 5.2 4.3 5.2 5.6 (NA) (D) (D) 5.8 2.6 (D) 3.2 3.2 6.3 6.3 4.2 4.2 2.0 2.0 7.1 7.7 7.6 2.5 (NA) (D) 4.7 12.2 6.4 9.1 4.4 10.0 4.6 8.8 2.9 2.4 1.9 (D) 3.4 0.0 (D) (D) (NA) (D) 6.4 (D) 4.2 (NA) 2.6 2.7 (D) 5.7 (D) 13.9 13.9 7.1 7.1 (NA) 3.2 2.5 (D) (D) (D) 7.8 3.6 3.8 0.8 2.1 3.9



State College, PA . . . . . . . . . . . . . . . . . . . . . . . Centre County, PA . . . . . . . . . . . . . . . . . . . . . Stockton, CA . . . . . . . . . . . . . . . . San Joaquin County, CA . . . . . . . Sumter, SC. . . . . . . . . . . . . . . . . . Sumter County, SC . . . . . . . . . . . Syracuse, NY . . . . . . . . . . . . . . . . Madison County, NY . . . . . . . . . . Onondaga County, NY . . . . . . . . . Oswego County, NY . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Gadsden County, FL . . . . . . . . . . Jefferson County, FL . . . . . . . . . . Leon County, FL . . . . . . . . . . . . . Wakulla County, FL . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Hernando County, FL . . . . . . . . . Hillsborough County, FL . . . . . . . . Pasco County, FL . . . . . . . . . . . . Pinellas County, FL . . . . . . . . . . . Terre Haute, IN . . . . . . . . . . . . . . . Clay County, IN . . . . . . . . . . . . . Sullivan County, IN . . . . . . . . . . . Vermillion County, IN . . . . . . . . . . Vigo County, IN . . . . . . . . . . . . . Texarkana, TX-Texarkana, AR . . . . . Miller County, AR . . . . . . . . . . . . Bowie County, TX . . . . . . . . . . . . Toledo, OH . . . . . . . . . . . . . . . . . . Fulton County, OH . . . . . . . . . . . Lucas County, OH. . . . . . . . . . . . Ottawa County, OH . . . . . . . . . . . Wood County, OH. . . . . . . . . . . . Topeka, KS. . . . . . . . . . . . . . . . . . Jackson County, KS . . . . . . . . . . Jefferson County, KS. . . . . . . . . . Osage County, KS . . . . . . . . . . . Shawnee County, KS. . . . . . . . . . Wabaunsee County, KS . . . . . . . . Trenton-Ewing, NJ . . . . . Mercer County, NJ . . . Tucson, AZ . . . . . . . . . . Pima County, AZ. . . . . Tulsa, OK. . . . . . . . . . . Creek County, OK. . . . Okmulgee County, OK . Osage County, OK . . . Pawnee County, OK . . Rogers County, OK . . . Tulsa County, OK . . . . Wagoner County, OK. . Tuscaloosa, AL . . . . . . . Greene County, AL . . . Hale County, AL . . . . . Tuscaloosa County, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

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245



Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance 17.9 17.9 13.8 9.3 14.5 (NA) (D) 1.4 (D) 9.4 11.4 11.4 16.5 16.5 (NA) (D) 4.4 13.1 11.7 11.7 (NA) (D) 11.2 (D) 16 7.9 4.4 (D) 17 5.2 5.8 5.8 8.0 7.2 (17) 8.5 (D) 6.8 (16) 7.0 7.0 10.5 10.5 4.8 4.8 5.8 8.0 9.0 7.8 (NA) 5.1 12.6 8.5 7.4 3.1 (D) 18 5.7 10.1 3.8 (D) 20 13.8 3.4 10.0 4.9 (18) (18) (20) (19) (19) 7.8 (NA) 12.4 (D) (D) 8.7 8.7 Government and government enterprises 12.5 12.5 25.4 25.1 25.5 34.3 20.1 22.9 31.1 35.5 29.2 29.2 13.1 13.1 14.4 9.9 31.9 15.4 25.8 25.8 38.3 23.7 29.0 9.5 16 22.3 22.7 13.0 17 38.1 19.6 50.9 26.2 52.8 (17) 58.4 24.5 30.1 (16) 22.9 22.9 17.3 17.3 61.1 61.1 27.6 21.0 19.3 21.2 29.1 41.0 19.4 29.0 32.0 37.8 14.4 18 14.3 15.0 15.0 19 25.6 20 16.3 26.1 17.1 26.7 (18) (18) (20) (19) (19) 27.0 15.6 16.0 13.6 13.5 10.6 10.6



2002 Tyler, TX . . . . . . . . . . Smith County, TX . . . Utica-Rome, NY . . . . . Herkimer County, NY. Oneida County, NY . . Valdosta, GA. . . . . . . . Brooks County, GA . . Echols County, GA . . Lanier County, GA . . Lowndes County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,144 5,144 7,348 1,453 5,895 2,790 348 64 148 2,230 11,912 11,912 4,699 4,699 2,908 434 151 2,323 3,823 3,823 45,773 520 941 871 16 2,357 319 156 17 2,262 5,956 3,831 4,315 6,015 (17) 2,376 1,822 14,032 (16) 8,076 8,076 5,212 5,212 3,027 3,027 214,441 54,247 7,215 47,032 160,194 26,636 2,650 4,156 25,287 10,428 419 18 53,589 2,369 7,438 19 11,294 20 3,566 3,068 883 7,156 (18) (18) (20) (19) (19) 1,255 4,354 3,349 653 352 3,692 3,692



2001 4,946 4,946 7,148 1,421 5,728 2,595 335 60 137 2,064 11,601 11,601 4,548 4,548 2,873 438 148 2,287 3,609 3,609 43,856 490 909 849 16 2,262 311 153 17 2,154 5,669 3,692 4,183 5,754 (17) 2,257 1,753 13,419 (16) 7,739 7,739 5,007 5,007 2,828 2,828 208,098 52,263 6,947 45,316 155,834 25,935 2,526 3,953 24,138 10,209 408 18 52,463 2,312 7,651 19 10,894 20 3,388 2,926 852 6,968 (18) (18) (20) (19) (19) 1,210 4,204 3,220 636 348 3,555 3,555



2000 4,922 4,922 7,047 1,377 5,669 2,485 333 57 134 1,960 10,953 10,953 4,208 4,208 2,809 435 143 2,231 3,421 3,421 41,659 468 853 811 16 2,107 281 145 17 2,025 5,380 3,505 3,956 5,511 (17) 2,149 1,626 12,842 (16) 7,219 7,219 4,862 4,862 2,714 2,714 196,093 50,002 6,427 43,575 146,091 23,102 2,352 3,730 23,195 9,378 394 18 50,393 2,165 7,154 19 10,228 20 3,145 2,690 822 6,212 (18) (18) (20) (19) (19) 1,130 4,056 3,118 612 326 3,431 3,431



2002 28,466 28,466 24,668 22,807 25,174 23,059 21,308 16,661 20,693 23,808 29,089 29,089 39,830 39,830 25,844 21,251 21,449 27,310 25,856 25,856 28,365 26,481 26,260 28,150 16 37,322 34,588 22,448 17 31,673 28,910 26,280 23,986 24,873 (17) 23,835 26,059 32,374 (16) 21,193 21,193 24,003 24,003 25,876 25,876 42,773 48,517 34,478 51,750 41,124 46,800 32,732 32,254 30,489 55,148 31,723 18 52,199 39,881 36,455 19 31,436 20 29,072 29,278 26,701 55,071 (18) (18) (20) (19) (19) 27,957 26,846 26,470 28,022 28,488 29,103 29,103



2000 28,061 28,061 23,520 21,391 24,103 20,765 20,239 15,019 18,468 21,277 27,579 27,579 37,114 37,114 25,162 21,045 20,555 26,557 23,371 23,371 26,355 25,522 24,463 27,128 16 34,825 30,508 21,252 17 29,678 26,838 23,927 21,968 23,509 (17) 21,401 25,308 30,098 (16) 19,571 19,571 22,719 22,719 24,378 24,378 40,665 46,541 32,693 49,642 38,980 40,428 31,283 30,753 28,863 49,536 30,983 18 50,027 38,953 41,129 19 31,036 20 28,360 28,732 25,927 48,100 (18) (18) (20) (19) (19) 26,624 24,795 24,377 26,261 26,359 27,248 27,248



Percent change,2 2000– 2002 4.5 4.5 4.3 5.5 4.0 12.3 4.2 12.3 10.6 13.8 8.8 8.8 11.7 11.7 3.5 –0.2 5.6 4.1 11.8 11.8 9.9 11.1 10.3 7.4 16 11.8 13.7 7.5 17 11.7 10.7 9.3 9.1 9.1 (17) 10.5 12.1 9.3 (16) 11.9 11.9 7.2 7.2 11.6 11.6 9.4 8.5 12.3 7.9 9.7 15.3 12.6 11.4 9.0 11.2 6.3 18 6.3 9.4 4.0 19 10.4 20 13.4 14.1 7.4 15.2 (18) (18) (20) (19) (19) 11.0 7.4 7.4 6.7 7.8 7.6 7.6



Manufacturing 13.2 13.2 13.2 20.7 12.1 (NA) 13.5 (D) (D) 11.3 9.3 9.3 6.2 6.2 (NA) 56.2 (D) 11.0 19.4 19.4 (NA) 2.6 3.8 50.1 (D) 7.4 (D) (D) 7.4 6.4 28.5 5.3 (17) 4.5 12.4 2.8 (16) 8.9 8.9 18.0 18.0 6.6 6.6 (NA) 5.3 8.9 4.9 (NA) (D) 4.9 3.6 4.1 (D) 26.7 18 2.0 5.2 4.1 (D) (D) 2.7 (D) (D) (18) (18) (20) (19) (19) 11.4 26.6 28.3 19.1 14.1 28.1 28.1



Retail trade 12.1 12.1 7.8 9.2 7.6 9.7 6.8 1.2 8.5 10.1 9.6 9.6 11.4 11.4 9.5 3.8 8.6 11.5 9.2 9.2 5.8 15.0 12.9 3.8 16 7.5 9.6 1.0 17 7.1 9.6 6.0 5.6 3.3 (17) 3.1 8.9 7.1 (16) 8.1 8.1 7.7 7.7 5.8 5.8 4.5 5.8 8.0 5.5 4.2 1.0 8.0 13.0 7.7 2.4 4.9 18 5.0 8.7 5.5 19 10.5 20 12.6 5.0 8.8 5.1 (18) (18) (20) (19) (19) 10.4 7.6 7.7 6.8 7.9 8.5 8.5



Professional and technical services 5.7 5.7 4.2 2.4 4.4 (NA) 1.7 (D) (D) 3.5 3.5 3.5 7.2 7.2 1.0 (NA) (D) (D) 3.4 3.4 (NA) 4.1 4.5 (D) 16 6.2 6.1 2.2 17 5.0 8.3 11.8 8.1 4.9 (17) 2.1 4.8 10.4 (16) 3.0 3.0 3.9 3.9 6.0 6.0 20.3 18.8 12.2 19.6 20.6 21.9 8.8 5.5 9.7 21.3 4.3 18 5.7 10.1 10.9 19 11.8 20 6.4 6.2 4.4 23.0 (18) (18) (20) (19) (19) 5.5 4.3 4.7 2.6 2.2 (NA) 4.5



Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . Solano County, CA . . . . . . . . . . . . . . . . . . . . . Vero Beach, FL . . . . . . . . Indian River County, FL . Victoria, TX. . . . . . . . . . . Calhoun County, TX . . . Goliad County, TX. . . . . Victoria County, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . Cumberland County, NJ . . . . . . . . . . . . . . Virginia Beach-Norfolk-Newport News, VA-NC. Currituck County, NC. . . . . . . . . . . . . . . . Gloucester County, VA. . . . . . . . . . . . . . . Isle of Wight County, VA . . . . . . . . . . . . . James City County, VA . . . . . . . . . . . . . . Mathews County, VA . . . . . . . . . . . . . . . . Surry County, VA . . . . . . . . . . . . . . . . . . York County, VA . . . . . . . . . . . . . . . . . . . Chesapeake city, VA . . . . . . . . . . . . . . . . Hampton city, VA . . . . . . . . . . . . . . . . . . Newport News city, VA. . . . . . . . . . . . . . . Norfolk city, VA. . . . . . . . . . . . . . . . . . . . Poquoson city, VA. . . . . . . . . . . . . . . . . . Portsmouth city, VA . . . . . . . . . . . . . . . . . Suffolk city, VA . . . . . . . . . . . . . . . . . . . . Virginia Beach city, VA . . . . . . . . . . . . . . . Williamsburg city, VA . . . . . . . . . . . . . . . . Visalia-Porterville, CA . . . . . . . . . . . . . . . . . Tulare County, CA. . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . McLennan County, TX . . . . . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . . . . . . . . Houston County, GA . . . . . . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . . . . . . . . . . . . . . . Bethesda-Gaithersburg-Frederick, MD . . . . Frederick County, MD . . . . . . . . . . . . . . Montgomery County, MD. . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . . . . . . . . . . . . . . District of Columbia, DC . . . . . . . . . . . . Calvert County, MD . . . . . . . . . . . . . . . Charles County, MD . . . . . . . . . . . . . . . Prince George’s County, MD . . . . . . . . . Arlington County, VA . . . . . . . . . . . . . . Clarke County, VA . . . . . . . . . . . . . . . . Fairfax County, VA . . . . . . . . . . . . . . . . Fauquier County, VA . . . . . . . . . . . . . . Loudoun County, VA. . . . . . . . . . . . . . . Prince William County, VA . . . . . . . . . . . Spotsylvania County, VA . . . . . . . . . . . . Stafford County, VA . . . . . . . . . . . . . . . Warren County, VA. . . . . . . . . . . . . . . . Alexandria city, VA . . . . Fairfax city, VA . . . . . . Falls Church city, VA . . Fredericksburg city, VA . Manassas city, VA . . . . Manassas Park city, VA Jefferson County, WV . . Waterloo-Cedar Falls, IA . . . Black Hawk County, IA . . Bremer County, IA . . . . . Grundy County, IA . . . . . Wausau, WI . . . . . . . . . . . Marathon County, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



246



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Table C-3. Metropolitan Areas With Component Counties — Personal Income and Earnings by Industry—Con.

Personal income Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county Total (million dollars) Per capita1 (dollars) Earnings—percent by selected industries Health care and social assistance (NA) 15.3 (D) (D) 14.8 16.6 6.5 (NA) 15.3 (D) 23.4 10.9 11.1 16.0 10.7 8.2 11.2 3.8 7.5 11.6 12.8 12.8 (NA) 6.9 10.3 (D) (NA) 21 14.1 (21) (D) (NA) 5.9 13.9 (D) 6.5 12.6 12.6 13.2 13.2 10.6 10.6 14.1 17.1 9.6 17.1 11.3 13.1 9.2 8.0 8.0 Government and government enterprises 12.5 15.1 11.4 9.1 21.2 19.6 29.1 17.0 19.9 15.1 15.7 12.7 23.9 10.8 11.9 27.5 34.5 21.0 17.6 35.6 16.8 16.8 19.4 16.9 19.4 27.1 11.6 21 10.2 (21) 30.9 9.5 13.6 8.6 23.5 16.2 14.4 14.4 19.3 19.3 11.4 11.4 13.8 16.4 11.7 12.5 32.9 15.4 53.4 28.2 28.2



2002 Weirton-Steubenville, WV-OH. Jefferson County, OH . . . . Brooke County, WV. . . . . . Hancock County, WV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,072 1,707 592 773 2,644 1,869 775 3,776 1,632 789 1,354 17,158 1,674 904 13,959 621 3,982 245 271 3,466 2,980 2,980 7,689 1,885 4,873 930 2,955 21 2,536 (21) 419 12,775 1,056 9,821 1,035 863 25,580 25,580 5,324 5,324 11,222 11,222 15,107 6,553 5,614 2,940 3,416 2,114 1,302 3,431 3,431



2001 2,982 1,656 579 747 2,523 1,786 737 3,680 1,582 775 1,323 16,830 1,639 881 13,700 609 3,822 240 265 3,317 2,932 2,932 7,477 1,825 4,736 916 2,837 21 2,437 (21) 400 12,500 1,033 9,582 1,028 857 25,377 25,377 5,120 5,120 10,891 10,891 14,749 6,410 5,506 2,833 3,252 2,015 1,236 2,968 2,968



2000 2,937 1,632 568 737 2,378 1,675 703 3,540 1,514 741 1,284 15,918 1,579 830 12,900 609 3,712 227 235 3,250 2,762 2,762 7,118 1,653 4,588 877 2,649 21 2,268 (21) 381 12,412 1,026 9,519 1,023 844 24,539 24,539 4,916 4,916 11,019 11,019 14,806 6,370 5,619 2,816 3,094 1,939 1,155 2,654 2,654



2002 23,750 23,622 23,614 24,147 26,321 27,812 23,309 24,993 23,390 22,541 29,265 29,587 27,710 27,106 30,302 24,358 26,583 27,107 24,113 26,761 25,096 25,096 26,753 23,908 29,408 21,720 27,308 21 29,063 (21) 20,000 29,485 28,827 31,236 23,040 23,134 33,229 33,229 23,714 23,714 28,810 28,810 25,358 25,924 25,156 24,541 23,617 25,698 20,873 20,561 20,561



2000 22,307 22,147 22,387 22,607 23,923 25,106 21,506 23,159 21,595 20,942 27,133 27,828 26,445 25,238 28,449 23,454 24,513 25,300 21,179 24,742 23,029 23,029 25,820 22,416 28,559 21,244 25,577 21 27,242 (21) 18,759 29,323 29,272 31,019 22,813 23,113 32,604 32,604 22,074 22,074 28,790 28,790 24,588 24,783 24,980 23,433 22,177 24,495 19,136 16,513 16,513



Percent change,2 2000– 2002 4.6 4.6 4.2 4.9 11.2 11.6 10.3 6.7 7.8 6.5 5.4 7.8 6.1 9.0 8.2 1.9 7.3 8.0 15.2 6.6 7.9 7.9 8.0 14.0 6.2 6.1 11.6 21 11.8 (21) 10.0 2.9 2.9 3.2 1.2 2.2 4.2 4.2 8.3 8.3 1.8 1.8 2.0 2.9 –0.1 4.4 10.4 9.0 12.8 29.3 29.3



Manufacturing 32.6 18.6 39.7 50.4 5.9 6.5 3.4 13.1 8.0 34.6 5.8 32.5 15.0 26.0 34.1 18.3 14.0 1.4 8.0 14.6 29.1 29.1 11.1 7.5 12.1 10.1 26.4 21 28.0 (21) 5.2 19.8 33.0 19.0 13.9 28.5 17.5 17.5 11.4 11.4 29.5 29.5 27.2 11.0 44.4 26.4 6.4 7.9 4.6 3.2 3.2



Retail trade 6.5 8.1 6.7 4.0 9.8 9.7 10.4 8.8 14.3 4.6 6.7 6.4 8.3 7.4 6.2 8.4 7.5 5.4 8.5 7.5 8.6 8.6 9.5 9.0 9.7 8.2 9.1 21 9.2 (21) 8.2 7.3 8.5 7.2 8.3 8.9 7.2 7.2 7.9 7.9 8.0 8.0 9.3 11.3 7.4 9.1 9.0 12.5 4.9 7.1 7.1



Professional and technical services 2.1 2.5 (D) 2.5 3.4 3.6 2.4 (NA) 3.0 (D) 7.6 (NA) (D) (D) 4.4 2.4 (NA) (D) 4.8 3.5 3.7 3.7 (NA) 5.1 8.6 (D) 3.7 21 3.6 (21) 4.9 (NA) (D) 8.1 3.4 (D) 8.3 8.3 3.2 3.2 4.4 4.4 3.5 4.6 2.6 3.1 4.1 4.0 4.1 1.8 1.8



Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . Chelan County, WA . . . . . . . . . . . . . . . . . . . . . Douglas County, WA . . . . . . . . . . . . . . . . . . . . Wheeling, WV-OH . . . . . . . . . Belmont County, OH . . . . . . Marshall County, WV . . . . . . Ohio County, WV . . . . . . . . Wichita, KS. . . . . . . . . . . . . . Butler County, KS . . . . . . . . Harvey County, KS . . . . . . . Sedgwick County, KS . . . . . Sumner County, KS. . . . . . . Wichita Falls, TX . . . . . . . . . . Archer County, TX . . . . . . . Clay County, TX . . . . . . . . . Wichita County, TX . . . . . . . Williamsport, PA . . . . . . . . . . Lycoming County, PA. . . . . . Wilmington, NC . . . . . . . . . . . Brunswick County, NC . . . . . New Hanover County, NC . . Pender County, NC . . . . . . . Winchester, VA-WV . . . . . . . . Frederick County, VA. . . . . . Winchester city, VA . . . . . . . Hampshire County, WV . . . . Winston-Salem, NC . . . . . . . . Davie County, NC . . . . . . . . Forsyth County, NC. . . . . . . Stokes County, NC . . . . . . . Yadkin County, NC . . . . . . . Worcester, MA . . . . . . . . . . . Worcester County, MA . . . . . Yakima, WA . . . . . . . . . . . . . Yakima County, WA. . . . . . . York-Hanover, PA . . . . . . . . . York County, PA . . . . . . . . . Youngstown-Warren-Boardman, Mahoning County, OH . . . . . Trumbull County, OH . . . . . . Mercer County, PA . . . . . . . Yuba City, CA . . . . . . . . . . . . Sutter County, CA . . . . . . . . Yuba County, CA . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . . Yuma County, AZ . . . . . . . . ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... ...... OH-PA . ...... ...... ...... ...... ...... ...... ...... ...... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



D Data withheld to avoid disclosure.

1



NA Not available.



X Not applicable.



Z Less than .05%.



Based on resident population estimated as of July 1, 2000 and 2002. 2 Includes construction; wholesale; transportation and warehousing; information; finance and insurance; management of companies and enterprises; administrative and waste services; educational services; arts, entertainment, and recreation; accommodation and food services; and other services (except public administration); not shown separately. 3 The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield city is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 4 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA. 5 Radford city included with Montgomery County, VA, in the Blacksburg-Christiansburg-Radford, VA MSA. 6 Charlottesville city included with Albemarle County, VA, in the Charlottesville, VA MSA. 7 Danville city included with Pittsylvania County, VA, in the Danville, VA MSA. 8 Harrisonburg city included with Rockingham County, VA, in the Harrisonburg, VA MSA. 9 Bristol city included with Washington County, VA, in the Kingsport-Bristol-Bristol, TN-VA MSA. 10 Bedford city included with Bedford County, VA, in the Lynchburg, VA MSA. 11 Lynchburg city included with Campbell County, VA, in the Lynchburg, VA MSA. 12 Colonial Heights city included with Chesterfield County, VA, in the Richmond, VA MSA. 13 Petersburg city included with Dinwiddie County, VA, in the Richmond, VA MSA. 14 Hopewell city included with Prince George County, VA, in the Richmond, VA MSA. 15 Salem city included with Roanoke County, VA, in the Roanoke, VA MSA. 16 Williamsburg city included with James City County, VA, in the Virginia Beach-Norfold-Newport News, VA-NC MSA. 17 Poquoson city included with York County, VA, in the Virginia Beach-Norfolk-Newport News, VA-NC MSA. 18 Fairfax and Falls Church cities included with Fairfax County, VA, in the Washington-Arlington-Alexandria, DC-VA-MD MSA. 19 Manassas and Manassas Park cities included with Prince William County, VA, in the Washington-Arlington-Alexandria, DC-VA-MD MSA. 20 Fredericksburg city included with Spotsylvania County, VA, in the Washington-Arlington-Alexandria, DC-VA-MD MSA. 21 Winchester city included with Frederick County, VA, in the Winchester, VA-WV MSA. Note: Covers metropolitan statistical areas and metropolitan divisions and component counties defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . Survey, Census, or Data Collection Method: Based on the Regional Economic Information System; for more information, see Appendix B, Limitations of the Data and Methodology, and also and . Source: Personal income and earnings—U.S. Bureau of Economic Analysis, Regional Economic Information System (REIS) 1969–2002 on CD-ROM (related Internet site ).



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



247



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private



Nonfarm Businesses

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 23,141 19,668 19,961 23,405 33,118 28,456 33,890 27,068 17,830 28,297 21,066 18,680 20,794 33,012 34,173 30,513 29,666 35,972 24,835 29,893 30,034 33,700 18,252 20,657 25,561 22,486 25,665 33,849 36,667 21,921 35,799 31,039 25,870 25,870 28,006 25,093 55,927 27,655 24,436 24,796 24,796 42,496 43,495 31,071 27,403 27,403 27,213 27,213 41,491 41,491 25,003 25,003 32,127 28,533 32,668 26,716 26,988 22,910 28,582 19,304 25,608 26,093 22,188 24,355 20,181 38,356 26,841 28,035 22,909 28,912 26,894 27,752 39,843 27,187 22,270 36,203 24,080 66.0 56.1 56.9 66.7 94.4 81.1 96.6 77.2 50.8 80.7 60.0 53.2 59.3 94.1 97.4 87.0 84.6 102.5 70.8 85.2 85.6 96.1 52.0 58.9 72.9 64.1 73.2 96.5 104.5 62.5 102.0 88.5 73.7 73.7 79.8 71.5 159.4 78.8 69.7 70.7 70.7 121.1 124.0 88.6 78.1 78.1 77.6 77.6 118.3 118.3 71.3 71.3 91.6 81.3 93.1 76.2 76.9 65.3 81.5 55.0 73.0 74.4 63.2 69.4 57.5 109.3 76.5 79.9 65.3 82.4 76.7 79.1 113.6 77.5 63.5 103.2 68.6



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Abilene, TX. . . . . . . . Callahan County, TX Jones County, TX . . Taylor County, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,240 6,786 8,008 65,446 373,273 87,329 285,944 72,439 1,824 41,128 14,763 4,565 10,159 452,566 160,394 83,768 117,745 74,976 15,683 391,796 305,411 47,747 7,562 31,076 64,660 8,075 56,585 404,991 58,676 30,098 169,830 146,387 65,809 65,809 128,349 1,102 3,574 57,889 65,784 46,560 46,560 178,647 145,787 32,860 63,421 63,421 83,733 83,733 188,183 188,183 54,324 54,324 121,974 25,524 96,450 195,625 113,520 27,056 45,315 9,734 95,181 57,199 14,980 15,766 7,236 2,454,115 27,718 43,031 9,682 48,059 91,823 133,263 368,324 52,169 9,852 371,973 54,548



Net change, 2000– 2004 5,012 582 334 4,096 9,785 2,936 6,849 946 78 –470 1,583 –102 –143 16,396 4,857 2,529 6,555 2,039 416 21,567 16,074 4,540 –10 963 1,258 197 1,061 19,721 3,015 1,106 7,388 8,212 3,446 3,446 10,675 14 223 4,929 5,509 –116 –116 9,454 5,396 4,058 –329 –329 330 330 2,203 2,203 755 755 4,352 1,357 2,995 11,225 6,263 1,284 3,284 394 5,957 2,815 1,150 1,397 595 81,620 2,521 2,386 575 3,092 8,862 6,761 6,763 3,375 809 –9,925 3,013



2000 75,228 6,204 7,674 61,350 363,488 84,393 279,095 71,493 1,746 41,598 13,180 4,667 10,302 436,170 155,537 81,239 111,190 72,937 15,267 370,229 289,337 43,207 7,572 30,113 63,402 7,878 55,524 385,270 55,661 28,992 162,442 138,175 62,363 62,363 117,674 1,088 3,351 52,960 60,275 46,676 46,676 169,193 140,391 28,802 63,750 63,750 83,403 83,403 185,980 185,980 53,569 53,569 117,622 24,167 93,455 184,400 107,257 25,772 42,031 9,340 89,224 54,384 13,830 14,369 6,641 2,372,495 25,197 40,645 9,107 44,967 82,961 126,502 361,561 48,794 9,043 381,898 51,535



2004 3,909 317 490 3,102 22,354 5,031 17,323 3,768 76 2,445 474 266 507 19,037 6,587 3,818 4,452 3,329 851 20,513 15,682 2,632 440 1,759 3,714 550 3,164 21,551 2,465 1,962 9,176 7,948 3,633 3,633 5,578 46 149 3,261 2,122 1,472 1,472 11,388 8,673 2,715 3,746 3,746 5,977 5,977 8,160 8,160 2,931 2,931 5,565 1,009 4,556 8,373 4,805 1,212 1,850 506 3,238 2,036 536 411 255 112,927 1,179 2,152 487 2,255 3,283 7,423 15,373 1,997 359 19,767 2,536



2000 2004 2000 3,117 238 392 2,487 14,896 3,288 11,608 3,372 74 2,160 445 245 448 14,991 5,189 2,938 3,682 2,532 650 15,304 11,669 1,845 380 1,410 3,297 467 2,830 14,259 1,619 1,494 5,939 5,207 2,905 2,905 4,492 34 109 2,842 1,507 876 876 8,995 6,937 2,058 1,908 1,908 2,492 2,492 4,422 4,422 2,428 2,428 3,352 649 2,703 6,027 3,388 1,011 1,276 352 2,891 1,870 451 368 202 73,906 759 1,498 418 1,678 2,147 4,268 10,140 1,611 244 12,652 1,535 4.9 4.7 6.1 4.7 6.0 5.8 6.1 5.2 4.2 5.9 3.2 5.8 5.0 4.2 4.1 4.6 3.8 4.4 5.4 5.2 5.1 5.5 5.8 5.7 5.7 6.8 5.6 5.3 4.2 6.5 5.4 5.4 5.5 5.5 4.3 4.2 4.2 5.6 3.2 3.2 3.2 6.4 5.9 8.3 5.9 5.9 7.1 7.1 4.3 4.3 5.4 5.4 4.6 4.0 4.7 4.3 4.2 4.5 4.1 5.2 3.4 3.6 3.6 2.6 3.5 4.6 4.3 5.0 5.0 4.7 3.6 5.6 4.2 3.8 3.6 5.3 4.6 4.1 3.8 5.1 4.1 4.1 3.9 4.2 4.7 4.2 5.2 3.4 5.2 4.3 3.4 3.3 3.6 3.3 3.5 4.3 4.1 4.0 4.3 5.0 4.7 5.2 5.9 5.1 3.7 2.9 5.2 3.7 3.8 4.7 4.7 3.8 3.1 3.3 5.4 2.5 1.9 1.9 5.3 4.9 7.1 3.0 3.0 3.0 3.0 2.4 2.4 4.5 4.5 2.8 2.7 2.9 3.3 3.2 3.9 3.0 3.8 3.2 3.4 3.3 2.6 3.0 3.1 3.0 3.7 4.6 3.7 2.6 3.4 2.8 3.3 2.7 3.3 3.0



Net change, 2000– 2002 2002 3,915 205 316 3,394 17,758 3,181 14,577 3,357 25 2,573 275 193 291 19,743 9,017 2,776 4,430 2,924 596 18,087 15,669 1,315 229 874 3,337 226 3,111 18,073 2,821 1,129 8,219 5,904 3,259 3,259 5,767 40 116 3,571 2,040 1,902 1,902 9,613 8,036 1,577 2,686 2,686 3,796 3,796 8,296 8,296 2,570 2,570 5,623 798 4,825 10,696 6,529 1,443 2,406 318 4,035 2,799 393 682 161 119,863 900 1,709 350 1,894 3,739 4,190 18,344 1,801 514 15,694 2,275 –102 7 –2 –107 209 73 136 65 4 –11 67 2 3 465 141 46 293 –38 23 122 –1 94 6 23 50 24 26 360 99 –9 40 230 –30 –30 –15 8 –11 –61 49 –31 –31 304 148 156 –87 –87 71 71 44 44 4 4 141 29 112 393 148 41 201 3 206 202 –118 103 19 4,148 89 110 10 48 492 –184 393 136 19 –1,273 170



2002 54,004 1,154 2,881 49,969 289,151 41,085 248,066 50,369 388 42,681 3,153 1,865 2,282 317,209 164,977 41,812 55,992 48,961 5,467 274,426 241,224 21,294 2,072 9,836 48,222 1,581 46,641 288,496 31,972 13,532 158,452 84,540 49,193 49,193 83,504 312 3,738 55,969 23,485 27,080 27,080 127,135 116,914 10,221 38,421 38,421 55,028 55,028 150,487 150,487 38,373 38,373 105,127 13,744 91,383 143,332 93,830 15,153 30,906 3,443 54,513 44,869 2,887 5,936 821 2,066,678 10,707 27,375 4,389 25,420 31,018 74,897 302,068 24,013 4,723 283,358 30,778



Net change, 2000– 2002 700 156 –268 812 –13,008 –5,687 –7,321 –2,499 174 –2,958 679 –243 –151 –2,335 –3,532 –142 2,199 –637 –223 –6,400 –9,050 1,546 226 878 –1,518 127 –1,645 1,090 780 –894 –2,977 4,181 –2,658 –2,658 –1,132 –63 2,900 –6,020 2,051 –1,422 –1,422 4,728 4,150 578 –3,925 –3,925 –3,970 –3,970 –6,977 –6,977 –2,241 –2,241 –4,285 1,322 –5,607 –3,900 –5,195 108 911 276 93 3,589 –4,054 578 –20 –71,597 1,157 825 89 –2,329 1,735 –13,625 –10,807 314 502 –45,030 1,557



Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . Portage County, OH . . . . . . . . . . . . . . . . . . . . Summit County, OH . . . . . . . . . . . . . . . . . . . . Albany, GA . . . . . . . . . . . . . Baker County, GA . . . . . . . Dougherty County, GA . . . . Lee County, GA . . . . . . . . Terrell County, GA. . . . . . . Worth County, GA. . . . . . . Albany-Schenectady-Troy, NY Albany County, NY . . . . . . Rensselaer County, NY . . . Saratoga County, NY. . . . . Schenectady County, NY . . Schoharie County, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Albuquerque, NM. . . . . . . . . . . . . . Bernalillo County, NM . . . . . . . . . Sandoval County, NM . . . . . . . . . Torrance County, NM. . . . . . . . . . Valencia County, NM . . . . . . . . . . Alexandria, LA. . . . . . . . . . . . . . . . Grant Parish, LA. . . . . . . . . . . . . Rapides Parish, LA . . . . . . . . . . . Allentown-Bethlehem-Easton, PA-NJ . Warren County, NJ . . . . . . . . . . . Carbon County, PA . . . . . . . . . . . Lehigh County, PA . . . . . . . . . . . Northampton County, PA . . . . . . . Altoona, PA . . . . . . . . . . . . . . . . . Blair County, PA . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . . Armstrong County, TX . . . . . . . . . Carson County, TX . . . . . . . . . . . Potter County, TX . . . . . . . . . . . . Randall County, TX . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . . Story County, IA . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . . Anchorage Borough, AK. . . . . . . . Matanuska-Susitna Borough, AK . . Anderson, IN . . . . . . . . . . . . . . . . Madison County, IN. . . . . . . . . . . Anderson, SC . . . . . . . . . . . . . . . . Anderson County, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . . . . . . . . Washtenaw County, MI . . . . . . . . Anniston-Oxford, AL . . . . . . . . . . . . Calhoun County, AL . . . . . . . . . . Appleton, WI . . . . . . . . . . . . . . . . . Calumet County, WI . . . . . . . . . . Outagamie County, WI. . . . . . . . . Asheville, NC . . . . . . . . . . . . . . . . Buncombe County, NC . . . . . . . . Haywood County, NC . . . . . . . . . Henderson County, NC . . . . . . . . Madison County, NC . . . . . . . . . . Athens-Clarke County, GA. . . . Clarke County, GA . . . . . . . Madison County, GA . . . . . . Oconee County, GA . . . . . . Oglethorpe County, GA . . . . Atlanta-Sandy Springs-Marietta, Barrow County, GA . . . . . . . Bartow County, GA . . . . . . . Butts County, GA . . . . . . . . Carroll County, GA . . . . . . . Cherokee County, GA . . . . . Clayton County, GA. Cobb County, GA . . Coweta County, GA. Dawson County, GA DeKalb County, GA . Douglas County, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... ... ... ... ... GA ... ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



248



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Atlanta-Sandy Springs-Marietta, GA—Con. Fayette County, GA. . . . . . . . . . . . . . . Forsyth County, GA. . . . . . . . . . . . . . . Fulton County, GA . . . . . . . . . . . . . . . Gwinnett County, GA . . . . . . . . . . . . . . Haralson County, GA. . . . . . . . . . . . . . Heard County, GA. . . . . . . . . . . . . . . . Henry County, GA. . . . . . . . . . . . . . . . Jasper County, GA . . . . . . . . . . . . . . . Lamar County, GA . . . . . . . . . . . . . . . Meriwether County, GA . . . . . . . . . . . . Newton County, GA. . . . . . . . . . . . . . . Paulding County, GA . . . . . . . . . . . . . . Pickens County, GA . . . . . . . . . . . . . . Pike County, GA . . . . . . . . . . . . . . . . . Rockdale County, GA . . . . . . . . . . . . . Spalding County, GA . . . . . . . . . . . . . . Walton County, GA . . . . . . . . . . . . . . . Atlantic City, NJ . . . . . . . . . . . . . . . . . . . Atlantic County, NJ . . . . . . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . . . . . . Lee County, AL. . . . . . . . . . . . . . . . . . Augusta-Richmond County, GA-SC . . . . . . Burke County, GA . . . . . . . . . . . . . . . . Columbia County, GA . . . . . . . . . . . . . McDuffie County, GA . . . . . . . . . . . . . . Richmond County, GA . . . . . . . . . . . . . Aiken County, SC . . . . . . . . . . . . . . . . Edgefield County, SC . . . . . . . . . . . . . Austin-Round Rock, TX. . . . . . . . . . . . . . Bastrop County, TX . . . . . . . . . . . . . . . Caldwell County, TX . . . . . . . . . . . . . . Hays County, TX . . . . . . . . . . . . . . . . Travis County, TX . . . . . . . . . . . . . . . . Williamson County, TX. . . . . . . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . . . . . . Kern County, CA. . . . . . . . . . . . . . . . . Baltimore-Towson, MD . . . . . . . . . . . . . . Anne Arundel County, MD . . . . . . . . . . Baltimore County, MD . . . . . . . . . . . . . Carroll County, MD . . . . . . . . . . . . . . . Harford County, MD . . . . . . . . . . . . . . Howard County, MD . . . . . . . . . . . . . . Queen Anne’s County, MD . . . . . . . . . . Baltimore city, MD. . . . . . . . . . . . . . . . Bangor, ME . . . . . . . . . . . . . . . . . . . . . Penobscot County, ME . . . . . . . . . . . . Barnstable Town, MA . . . . . . . . . . . . . . . Barnstable County, MA . . . . . . . . . . . . Baton Rouge, LA . . . . . . . . . . . . . . . . . . Ascension Parish, LA . . . . . . . . . . . . . East Baton Rouge Parish, LA . . . . . . . . East Feliciana Parish, LA . . . . . . . . . . . Iberville Parish, LA . . . . . . . . . . . . . . . Livingston Parish, LA. . . . . . . . . . . . . . Pointe Coupee Parish, LA . . . . . . . . . . St. Helena Parish, LA . . . . . . . . . . . . . West Baton Rouge Parish, LA. . . . . . . . West Feliciana Parish, LA . . . . . . . . . . Battle Creek, MI . . . . . . . . . . . . . . . . . . Calhoun County, MI. . . . . . . . . . . . . . . Bay City, MI . . . . . . . . . . . . . . . . . . . . . Bay County, MI. . . . . . . . . . . . . . . . . . Beaumont-Port Arthur, TX . . . . . . . . . . . . Hardin County, TX . . . . . . . . . . . . . . . Jefferson County, TX . . . . . . . . . . . . . . Orange County, TX . . . . . . . . . . . . . . . Bellingham, WA. . . . . . . . Whatcom County, WA . . Bend, OR . . . . . . . . . . . . Deschutes County, OR . Billings, MT. . . . . . . . . . . Carbon County, MT . . . . Yellowstone County, MT . Binghamton, NY . . . . . . . Broome County, NY . . . Tioga County, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Net change, 2000– 2004



2000



2004



2000 2004 2000



Net change, 2000– 2002 2002



2002



Net change, 2000– 2002



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



51,044 67,310 416,408 375,143 12,672 4,942 79,947 6,066 7,829 9,898 37,655 52,958 13,711 7,251 37,770 28,014 35,055 134,390 134,390 62,818 62,818 246,659 9,813 52,686 10,320 89,700 73,342 10,798 778,097 33,157 16,060 63,076 499,134 166,670 318,655 318,655 1,346,001 272,165 414,355 88,867 125,136 151,028 24,159 270,291 78,822 78,822 123,131 123,131 351,569 42,406 209,336 8,292 12,699 49,762 9,794 4,021 10,404 4,855 73,138 73,138 56,851 56,851 179,733 24,457 113,919 41,357 100,935 100,935 71,064 71,064 82,549 5,366 77,183 122,618 96,456 26,162



1,164 9,930 –14,874 28,084 249 –195 12,311 275 –241 –262 5,294 7,089 1,197 254 805 –171 2,479 5,422 5,422 3,984 3,984 13,528 615 5,358 395 2,295 4,410 455 39,898 3,448 958 6,412 7,477 21,603 24,212 24,212 20,017 4,801 6,368 5,002 5,351 6,521 1,479 –9,505 3,623 3,623 9,761 9,761 12,673 4,123 2,839 49 139 5,127 81 –23 271 67 3,360 3,360 107 107 3,138 1,271 1,152 715 12,623 12,623 9,492 9,492 6,159 378 5,781 –2,475 –2,039 –436



49,880 57,380 431,282 347,059 12,423 5,137 67,636 5,791 8,070 10,160 32,361 45,869 12,514 6,997 36,965 28,185 32,576 128,968 128,968 58,834 58,834 233,131 9,198 47,328 9,925 87,405 68,932 10,343 738,199 29,709 15,102 56,664 491,657 145,067 294,443 294,443 1,325,984 267,364 407,987 83,865 119,785 144,507 22,680 279,796 75,199 75,199 113,370 113,370 338,896 38,283 206,497 8,243 12,560 44,635 9,713 4,044 10,133 4,788 69,778 69,778 56,744 56,744 176,595 23,186 112,767 40,642 88,312 88,312 61,572 61,572 76,390 4,988 71,402 125,093 98,495 26,598



1,760 2,094 22,245 14,917 625 259 3,194 286 431 629 1,835 2,093 498 336 1,805 1,648 1,461 7,483 7,483 2,622 2,622 13,355 666 1,936 591 5,291 4,224 647 39,391 1,845 1,016 3,066 26,188 7,276 31,210 31,210 61,195 9,903 18,082 2,930 4,865 4,682 824 19,909 4,271 4,271 5,956 5,956 21,321 2,665 11,775 589 1,136 3,126 730 267 698 335 5,096 5,096 4,300 4,300 15,069 1,832 9,534 3,703 5,803 5,803 4,771 4,771 2,920 210 2,710 6,556 5,200 1,356



1,331 1,373 14,977 9,514 444 205 1,803 187 363 463 1,054 1,222 375 258 1,153 1,221 1,013 6,007 6,007 2,101 2,101 9,009 463 1,369 437 3,850 2,528 362 22,662 1,032 629 1,853 15,114 4,034 24,344 24,344 50,333 8,063 15,093 2,487 3,883 3,624 693 16,490 2,844 2,844 3,751 3,751 16,122 1,903 8,967 445 834 2,369 577 220 504 303 2,921 2,921 2,300 2,300 11,432 1,290 7,330 2,812 4,567 4,567 3,322 3,322 3,153 221 2,932 4,468 3,559 909



3.4 3.1 5.3 4.0 4.9 5.2 4.0 4.7 5.5 6.4 4.9 4.0 3.6 4.6 4.8 5.9 4.2 5.6 5.6 4.2 4.2 5.4 6.8 3.7 5.7 5.9 5.8 6.0 5.1 5.6 6.3 4.9 5.2 4.4 9.8 9.8 4.5 3.6 4.4 3.3 3.9 3.1 3.4 7.4 5.4 5.4 4.8 4.8 6.1 6.3 5.6 7.1 8.9 6.3 7.5 6.6 6.7 6.9 7.0 7.0 7.6 7.6 8.4 7.5 8.4 9.0 5.7 5.7 6.7 6.7 3.5 3.9 3.5 5.3 5.4 5.2



2.7 2.4 3.5 2.7 3.6 4.0 2.7 3.2 4.5 4.6 3.3 2.7 3.0 3.7 3.1 4.3 3.1 4.7 4.7 3.6 3.6 3.9 5.0 2.9 4.4 4.4 3.7 3.5 3.1 3.5 4.2 3.3 3.1 2.8 8.3 8.3 3.8 3.0 3.7 3.0 3.2 2.5 3.1 5.9 3.8 3.8 3.3 3.3 4.8 5.0 4.3 5.4 6.6 5.3 5.9 5.4 5.0 6.3 4.2 4.2 4.1 4.1 6.5 5.6 6.5 6.9 5.2 5.2 5.4 5.4 4.1 4.4 4.1 3.6 3.6 3.4



2,683 3,315 31,600 18,851 472 126 2,742 174 241 341 1,313 1,219 550 206 2,001 1,222 1,397 6,533 6,533 2,077 2,077 10,094 339 1,784 478 4,531 2,625 337 33,362 850 514 2,435 24,249 5,314 11,268 11,268 63,694 13,017 19,803 4,195 5,006 7,560 1,283 12,830 4,166 4,166 8,596 8,596 16,308 1,639 11,412 249 546 1,353 366 96 459 188 2,999 2,999 2,571 2,571 8,009 726 5,863 1,420 5,583 5,583 4,947 4,947 5,336 350 4,986 5,126 4,343 783



272 947 654 1,066 28 7 471 14 4 –1 132 235 66 11 19 39 174 156 156 85 85 87 20 –20 8 77 5 –3 1,540 60 20 249 701 510 375 375 1,445 842 813 123 173 218 86 –810 –7 –7 257 257 227 121 –87 –3 4 125 16 6 29 16 –30 –30 15 15 –98 –11 –46 –41 197 197 457 457 140 44 96 27 44 –17



34,270 43,166 731,167 291,476 5,389 1,271 32,705 2,092 2,490 4,232 17,349 10,404 5,349 1,019 32,942 19,164 13,447 125,928 125,928 33,307 33,307 180,422 5,210 22,050 6,762 89,352 52,021 5,027 549,172 7,739 3,965 28,461 422,941 86,066 154,185 154,185 1,049,283 194,857 318,130 45,679 58,957 135,024 9,671 286,965 57,427 57,427 74,340 74,340 278,604 24,761 209,893 4,670 10,384 12,418 3,932 1,041 8,657 2,848 56,235 56,235 33,815 33,815 125,925 8,012 98,448 19,465 58,451 58,451 45,386 45,386 60,549 1,911 58,638 91,069 82,750 8,319



4,678 13,479 –37,349 4,010 –209 –172 4,267 251 –637 –787 1,760 1,223 341 –202 1,414 –126 2,074 5,370 5,370 1,036 1,036 3,198 –171 –1,204 –663 5,610 –411 37 –1,246 495 –261 4,421 –23,148 17,247 3,875 3,875 4,762 10,040 3,731 2,154 120 34 96 –11,413 585 585 2,153 2,153 –2,560 –574 –3,533 1,209 –253 184 156 295 –198 154 –4,484 –4,484 –1,521 –1,521 –3,222 –801 –1,954 –467 –1,186 –1,186 2,500 2,500 –273 –45 –228 –279 –253 –26



29,923 33,146 45,849 36,851 25,559 21,122 25,146 24,699 22,102 24,785 29,871 24,391 24,841 21,396 30,876 23,774 26,411 29,592 29,592 24,053 24,053 30,887 29,423 25,853 22,814 30,079 36,444 22,191 38,111 21,898 19,270 24,163 38,648 42,410 30,746 30,746 36,431 36,572 34,231 26,560 28,082 43,078 25,357 39,307 27,924 27,924 31,479 31,479 30,399 33,809 30,047 25,338 41,187 21,955 22,374 20,905 30,683 46,168 33,473 33,473 30,078 30,078 30,638 22,440 31,085 31,754 29,662 29,662 27,299 27,299 27,071 18,049 27,365 27,827 28,208 24,029



85.3 94.5 130.7 105.0 72.9 60.2 71.7 70.4 63.0 70.7 85.1 69.5 70.8 61.0 88.0 67.8 75.3 84.4 84.4 68.6 68.6 88.0 83.9 73.7 65.0 85.7 103.9 63.3 108.6 62.4 54.9 68.9 110.2 120.9 87.6 87.6 103.8 104.2 97.6 75.7 80.0 122.8 72.3 112.0 79.6 79.6 89.7 89.7 86.7 96.4 85.6 72.2 117.4 62.6 63.8 59.6 87.5 131.6 95.4 95.4 85.7 85.7 87.3 64.0 88.6 90.5 84.6 84.6 77.8 77.8 77.2 51.4 78.0 79.3 80.4 68.5



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



249



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 33,683 22,460 22,370 22,142 34,882 24,032 33,872 24,609 26,888 26,688 27,899 26,983 29,793 24,785 28,509 32,849 25,449 19,957 26,355 22,774 37,082 37,082 30,840 32,294 20,108 25,777 19,044 23,365 45,709 47,418 42,912 34,022 53,773 48,173 48,173 38,024 38,024 35,730 36,484 33,105 40,589 40,589 26,830 17,656 27,002 27,229 27,229 56,000 56,000 20,372 20,372 24,090 19,903 24,704 17,223 30,621 30,695 30,131 26,162 26,162 33,430 34,304 26,888 (D) 28,198 21,611 28,417 28,422 28,422 30,207 30,207 28,243 28,243 96.0 64.0 63.8 63.1 99.4 68.5 96.6 70.1 76.6 76.1 79.5 76.9 84.9 70.6 81.3 93.6 72.5 56.9 75.1 64.9 105.7 105.7 87.9 92.1 57.3 73.5 54.3 66.6 130.3 135.2 122.3 97.0 153.3 137.3 137.3 108.4 108.4 101.8 104.0 94.4 115.7 115.7 76.5 50.3 77.0 77.6 77.6 159.6 159.6 58.1 58.1 68.7 56.7 70.4 49.1 87.3 87.5 85.9 74.6 74.6 95.3 97.8 76.6 (D) 80.4 61.6 81.0 81.0 81.0 86.1 86.1 80.5 80.5



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Birmingham-Hoover, AL Bibb County, AL . . . . Blount County, AL . . . Chilton County, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 533,028 8,945 26,179 19,690 325,242 32,787 89,425 30,760 58,320 43,754 14,566 76,157 8,113 42,832 17,896 7,316 93,852 16,267 66,115 11,470 84,940 84,940 267,602 178,469 3,566 73,656 7,109 4,802 2,373,906 950,724 353,195 255,382 342,147 811,419 811,419 375,684 375,684 236,079 169,213 66,866 166,160 166,160 57,773 5,200 52,573 121,067 121,067 454,667 454,667 143,006 143,006 50,236 7,400 37,737 5,099 586,572 474,789 111,783 69,671 69,671 118,840 88,638 26,008 4,194 204,989 14,431 190,558 247,719 247,719 27,240 27,240 39,872 39,872



Net change, 2000– 2004 –1,665 274 710 –52 –8,371 990 5,896 –1,112 3,642 3,110 532 3,392 398 2,378 690 –74 2,877 188 2,010 679 –412 –412 16,176 8,192 140 7,746 83 15 –5,419 –9,025 –4,036 4,031 –9,020 –10,782 –10,782 3,117 3,117 11,271 6,901 4,370 (X) (X) 2,605 173 2,432 14,736 14,736 8,869 8,869 15,832 15,832 3,694 601 2,890 203 7,365 5,779 1,586 583 583 5,325 3,423 1,487 415 –1,176 323 –1,499 40,332 40,332 738 738 3,335 3,335



2000 534,693 8,671 25,469 19,742 333,613 31,797 83,529 31,872 54,678 40,644 14,034 72,765 7,715 40,454 17,206 7,390 90,975 16,079 64,105 10,791 85,352 85,352 251,426 170,277 3,426 65,910 7,026 4,787 2,379,325 959,749 357,231 251,351 351,167 822,201 822,201 372,567 372,567 224,808 162,312 62,496 160,120 160,120 55,168 5,027 50,141 106,331 106,331 445,798 445,798 127,174 127,174 46,542 6,799 34,847 4,896 579,207 469,010 110,197 69,088 69,088 113,515 85,215 24,521 3,779 206,165 14,108 192,057 207,387 207,387 26,502 26,502 36,537 36,537



2004 25,810 482 1,052 909 17,107 1,574 2,824 1,862 1,733 1,210 523 3,155 398 1,368 1,049 340 4,279 961 2,730 588 3,834 3,834 11,626 6,944 171 3,997 386 128 115,721 48,263 15,813 13,101 19,349 35,826 35,826 21,524 21,524 10,108 7,859 2,249 8,181 8,181 2,569 296 2,273 7,086 7,086 19,943 19,943 12,549 12,549 2,027 347 1,452 228 34,122 27,175 6,947 4,299 4,299 4,137 2,873 1,064 200 13,547 1,036 12,511 9,556 9,556 1,355 1,355 1,485 1,485



2000 2004 2000 18,563 412 795 758 11,836 1,067 2,037 1,658 1,344 932 412 2,361 326 1,019 778 238 2,723 740 1,664 319 2,893 2,893 9,376 5,739 167 2,925 359 186 59,626 25,315 8,155 6,680 10,480 17,761 17,761 10,130 10,130 6,420 4,767 1,653 3,758 3,758 2,138 253 1,885 5,394 5,394 9,440 9,440 8,890 8,890 1,693 281 1,207 205 24,773 19,619 5,154 2,194 2,194 2,661 1,833 688 140 8,543 612 7,931 6,699 6,699 994 994 1,438 1,438 4.8 5.4 4.0 4.6 5.3 4.8 3.2 6.1 3.0 2.8 3.6 4.1 4.9 3.2 5.9 4.6 4.6 5.9 4.1 5.1 4.5 4.5 4.3 3.9 4.8 5.4 5.4 2.7 4.9 5.1 4.5 5.1 5.7 4.4 4.4 5.7 5.7 4.3 4.6 3.4 4.9 4.9 4.4 5.7 4.3 5.9 5.9 4.4 4.4 8.8 8.8 4.0 4.7 3.8 4.5 5.8 5.7 6.2 6.2 6.2 3.5 3.2 4.1 4.8 6.6 7.2 6.6 3.9 3.9 5.0 5.0 3.7 3.7 3.5 4.8 3.1 3.8 3.5 3.4 2.4 5.2 2.5 2.3 2.9 3.2 4.2 2.5 4.5 3.2 3.0 4.6 2.6 3.0 3.4 3.4 3.7 3.4 4.9 4.4 5.1 3.9 2.5 2.6 2.3 2.7 3.0 2.2 2.2 2.7 2.7 2.9 2.9 2.6 2.3 2.3 3.9 5.0 3.8 5.1 5.1 2.1 2.1 7.0 7.0 3.6 4.1 3.5 4.2 4.3 4.2 4.7 3.2 3.2 2.3 2.2 2.8 3.7 4.1 4.3 4.1 3.2 3.2 3.8 3.8 3.9 3.9



Net change, 2000– 2002 2002 25,867 315 696 779 17,516 1,139 4,055 1,367 3,053 2,366 687 3,220 324 1,845 692 359 3,880 631 2,924 325 3,536 3,536 14,431 10,622 136 3,189 331 153 125,649 52,065 19,663 12,074 20,328 42,890 42,890 18,610 18,610 12,084 9,552 2,532 10,586 10,586 2,670 112 2,558 5,566 5,566 28,385 28,385 6,046 6,046 2,830 191 2,416 223 27,248 22,707 4,541 3,308 3,308 7,190 5,363 1,077 750 9,813 481 9,332 13,768 13,768 2,281 2,281 2,683 2,683 233 –16 –46 4 50 17 300 –76 81 42 39 79 –3 52 27 3 –4 –12 –2 10 –6 –6 746 483 12 240 18 –7 273 159 –15 435 –261 –184 –184 22 22 276 207 69 (X) (X) 68 10 58 326 326 –202 –202 250 250 56 12 49 –5 412 365 47 –40 –40 576 55 –45 566 –151 –3 –148 1,375 1,375 –69 –69 58 58



2002 450,925 2,586 6,973 6,495 346,939 11,197 61,665 15,070 42,337 35,340 6,997 46,201 3,887 25,588 12,164 4,562 55,529 5,687 45,942 3,900 78,612 78,612 198,012 156,764 563 37,596 1,956 1,133 2,303,251 1,063,635 351,072 149,160 563,403 797,012 797,012 276,507 276,507 166,097 129,047 37,050 143,549 143,549 44,221 814 43,407 51,818 51,818 462,542 462,542 88,506 88,506 34,394 1,523 31,026 1,845 469,860 408,186 61,674 54,710 54,710 97,612 86,110 11,502 (D) 163,383 5,260 158,123 155,807 155,807 22,743 22,743 28,121 28,121



Net change, 2000– 2002 –14,705 –817 –895 –325 –15,181 –1,313 4,584 –758 224 253 –29 –2,990 –732 1,431 –1,138 –2,551 –1,309 –277 –1,405 373 –4,113 –4,113 356 3,585 49 –2,600 –349 –329 –49,269 7,193 13,506 1,401 –7,714 –55,942 –55,942 –5,859 –5,859 5,339 3,705 1,634 (X) (X) –185 55 –240 1,929 1,929 17,612 17,612 2,009 2,009 360 61 480 –181 –7,791 –4,312 –3,479 –5,268 –5,268 2,176 2,317 –141 (D) –6,243 120 –6,363 12,753 12,753 –2,042 –2,042 564 564



Jefferson County, AL . . . . . . . . . . . . . . . St. Clair County, AL. . . . . . . . . . . . . . . . Shelby County, AL . . . . . . . . . . . . . . . . Walker County, AL . . . . . . . . . . . . . . . . Bismarck, ND . . . . . . . . . . . . . . . . . . . . . Burleigh County, ND . . . . . . . . . . . . . . . Morton County, ND . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA . . . . Giles County, VA . . . . . . . . . . . . . . . . . Montgomery County, VA. . . . . . . . . . . . . Pulaski County, VA . . . . . . . . . . . . . . . . Radford city, VA . . . . . . . . . . . . . . . . . . Bloomington, IN. . . . . . . . . . . . . . . . . . . . Greene County, IN . . . . . . . . . . . . . . . . Monroe County, IN . . . . . . . . . . . . . . . . Owen County, IN . . . . . . . . . . . . . . . . . Bloomington-Normal, IL. . . . . . . . . . . . . . . McLean County, IL . . . . . . . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . . . . . . Ada County, ID. . . . . . . . . . . . . . . . . . . Boise County, ID. . . . . . . . . . . . . . . . . . Canyon County, ID . . . . . . . . . . . . . . . . Gem County, ID . . . . . . . . . . . . . . . . . . Owyhee County, ID . . . . . . . . . . . . . . . . Boston-Cambridge-Quincy, MA-NH . . . . . Boston-Quincy, MA . . . . . . . . . . . . . . . . Norfolk County, MA . . . . . . . . . . . . . . Plymouth County, MA . . . . . . . . . . . . . Suffolk County, MA . . . . . . . . . . . . . . Cambridge-Newton-Framingham, MA . . . . Middlesex County, MA . . . . . . . . . . . . Essex County, MA . . . . . . . . . . . . . . . . Essex County, MA . . . . . . . . . . . . . . . Rockingham County-Strafford County, NH . Rockingham County, NH . . . . . . . . . . . Strafford County, NH . . . . . . . . . . . . . Boulder, CO3 . . . . . . . . . . . . . . . . . . . . . Boulder County, CO 3 . . . . . . . . . . . . . . Bowling Green, KY. . . . . . . . . . . . . . . . . . Edmonson County, KY. . . . . . . . . . . . . . Warren County, KY . . . . . . . . . . . . . . . . Bremerton-Silverdale, WA . . . . . . . . . . . . . Kitsap County, WA . . . . . . . . . . . . . . . . Bridgeport-Stamford-Norwalk, CT . . . . . . . . Fairfield County, CT . . . . . . . . . . . . . . . Brownsville-Harlingen, TX . . . . . . . . . . . . . Cameron County, TX . . . . . . . . . . . . . . . Brunswick, GA . . . . . . . . . . . . . . . . . . . . Brantley County, GA . . . . . . . . . . . . . . . Glynn County, GA . . . . . . . . . . . . . . . . . McIntosh County, GA. . . . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . . . . . . . . . . Erie County, NY . . . . . . . . . . . . . . . . . . Niagara County, NY . . . . . . . . . . . . . . . Burlington, NC. . . . . . . . . . . . . . . . . . . . . Alamance County, NC . . . . . . . . . . . . . . Burlington-South Burlington, VT . . . . . . . . . Chittenden County, VT. . . . . . . . . . . . . . Franklin County, VT. . . . . . . . . . . . . . . . Grand Isle County, VT . . . . . . . . . . . . . . Canton-Massillon, OH. . . . . . . . . . . . . . . . Carroll County, OH . . . . . . . . . . . . . . . . Stark County, OH . . . . . . . . . . . . . . . . . Cape Coral-Fort Myers, FL . . . . . . . . . . . . Lee County, FL. . . . . . . . . . . . . . . . . . . Carson City, NV. . . . . . . . . . . . . . . . . . . . Carson City, NV . . . . . . . . . . . . . . . . . .



Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . Natrona County, WY . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



250



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 31,298 24,183 21,833 31,986 27,601 28,087 22,890 22,546 29,301 40,686 28,849 28,580 21,594 30,055 27,869 30,282 28,059 22,664 36,636 24,848 30,626 26,520 39,908 28,785 29,725 30,515 30,792 25,784 28,159 17,500 31,907 28,839 25,669 19,905 24,599 29,898 21,935 21,405 26,133 26,133 40,878 41,171 42,604 26,512 41,581 41,269 32,812 28,288 34,015 35,068 31,179 26,718 31,302 24,570 32,115 44,236 46,433 29,426 24,066 24,066 34,824 27,634 23,149 26,259 32,229 21,541 28,526 20,460 23,043 32,283 23,905 24,389 32,607 28,880 37,603 33,325 23,839 25,705 22,103 22,919 20,142 89.2 68.9 62.2 91.2 78.7 80.1 65.2 64.3 83.5 116.0 82.2 81.5 61.6 85.7 79.4 86.3 80.0 64.6 104.4 70.8 87.3 75.6 113.8 82.1 84.7 87.0 87.8 73.5 80.3 49.9 90.9 82.2 73.2 56.7 70.1 85.2 62.5 61.0 74.5 74.5 116.5 117.4 121.4 75.6 118.5 117.6 93.5 80.6 97.0 100.0 88.9 76.2 89.2 70.0 91.5 126.1 132.4 83.9 68.6 68.6 99.3 78.8 66.0 74.9 91.9 61.4 81.3 58.3 65.7 92.0 68.1 69.5 92.9 82.3 107.2 95.0 68.0 73.3 63.0 65.3 57.4



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Cedar Rapids, IA . . . Benton County, IA. Jones County, IA . Linn County, IA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137,073 14,050 10,390 112,633 114,737 98,952 7,024 8,761 138,639 9,408 3,492 91,990 7,828 25,921 290,125 70,823 166,024 53,278 778,270 10,999 77,466 98,706 419,632 76,847 94,620 93,585 45,692 11,871 9,297 7,362 19,363 249,313 32,681 8,232 31,674 158,196 13,003 5,527 42,699 42,699 4,733,077 3,982,271 2,633,630 52,311 523,093 21,657 240,960 37,838 160,295 312,487 323,188 14,839 222,936 7,026 78,387 427,618 344,507 83,111 98,004 98,004 1,083,362 25,666 11,793 3,083 54,440 4,304 46,040 3,973 12,250 82,924 7,406 21,749 182,743 101,941 429,081 95,969 102,692 26,532 6,227 64,016 5,917



Net change, 2000– 2004 817 257 –108 668 –556 –14 –280 –262 –6,570 –409 –154 –5,387 –312 –308 25,386 5,391 13,739 6,256 46,975 28 5,788 –916 25,496 9,902 6,677 5,961 2,630 1,762 995 410 164 2,641 2,929 509 1,175 –2,038 –106 172 2,464 2,464 –34,733 –40,199 –100,221 953 –7,614 523 18,828 5,422 8,669 33,241 –3,192 68 –3,527 –268 535 8,658 6,650 2,008 4,853 4,853 40,454 1,084 425 85 5,422 123 –500 64 693 15 252 1,191 9,938 6,604 2,013 13,045 5,153 166 289 4,308 390



2000 136,256 13,793 10,498 111,965 115,293 98,966 7,304 9,023 145,209 9,817 3,646 97,377 8,140 26,229 264,739 65,432 152,285 47,022 731,295 10,971 71,678 99,622 394,136 66,945 87,943 87,624 43,062 10,109 8,302 6,952 19,199 246,672 29,752 7,723 30,499 160,234 13,109 5,355 40,235 40,235 4,767,810 4,022,470 2,733,851 51,358 530,707 21,134 222,132 32,416 151,626 279,246 326,380 14,771 226,463 7,294 77,852 418,960 337,857 81,103 93,151 93,151 1,042,908 24,582 11,368 2,998 49,018 4,181 46,540 3,909 11,557 82,909 7,154 20,558 172,805 95,337 427,068 82,924 97,539 26,366 5,938 59,708 5,527



2004 6,936 686 563 5,687 5,249 4,428 382 439 6,874 470 263 4,454 497 1,190 15,514 3,930 8,973 2,611 43,513 960 4,728 6,293 21,225 3,555 6,752 2,917 1,163 332 260 249 913 11,074 1,093 324 1,317 7,223 819 298 1,935 1,935 288,055 245,565 172,535 2,755 25,505 1,689 14,335 1,892 8,338 18,516 18,836 840 13,935 350 3,711 23,654 18,840 4,814 7,055 7,055 57,394 1,344 652 167 2,270 245 2,168 220 640 3,784 348 1,499 9,830 5,536 24,198 4,493 5,451 1,642 312 3,102 395



2000 2004 2000 3,290 332 289 2,669 4,125 3,517 278 330 7,643 666 308 4,815 596 1,258 8,216 2,052 4,789 1,375 24,582 582 2,187 5,512 11,691 1,883 2,727 1,822 741 200 153 162 566 8,280 794 231 1,078 5,369 598 210 1,514 1,514 207,287 180,538 132,459 1,852 17,728 1,109 9,534 1,061 5,433 11,362 11,029 482 8,207 207 2,133 15,720 12,458 3,262 5,725 5,725 37,266 778 382 98 1,462 149 1,549 156 448 2,710 250 1,055 6,202 3,480 15,800 2,747 4,094 1,273 266 2,283 272 5.1 4.9 5.4 5.0 4.6 4.5 5.4 5.0 5.0 5.0 7.5 4.8 6.3 4.6 5.3 5.5 5.4 4.9 5.6 8.7 6.1 6.4 5.1 4.6 7.1 3.1 2.5 2.8 2.8 3.4 4.7 4.4 3.3 3.9 4.2 4.6 6.3 5.4 4.5 4.5 6.1 6.2 6.6 5.3 4.9 7.8 5.9 5.0 5.2 5.9 5.8 5.7 6.3 5.0 4.7 5.5 5.5 5.8 7.2 7.2 5.3 5.2 5.5 5.4 4.2 5.7 4.7 5.5 5.2 4.6 4.7 6.9 5.4 5.4 5.6 4.7 5.3 6.2 5.0 4.8 6.7 2.4 2.4 2.8 2.4 3.6 3.6 3.8 3.7 5.3 6.8 8.4 4.9 7.3 4.8 3.1 3.1 3.1 2.9 3.4 5.3 3.1 5.5 3.0 2.8 3.1 2.1 1.7 2.0 1.8 2.3 2.9 3.4 2.7 3.0 3.5 3.4 4.6 3.9 3.8 3.8 4.3 4.5 4.8 3.6 3.3 5.2 4.3 3.3 3.6 4.1 3.4 3.3 3.6 2.8 2.7 3.8 3.7 4.0 6.1 6.1 3.6 3.2 3.4 3.3 3.0 3.6 3.3 4.0 3.9 3.3 3.5 5.1 3.6 3.7 3.7 3.3 4.2 4.8 4.5 3.8 4.9



Net change, 2000– 2002 2002 6,539 626 509 5,404 4,924 4,155 403 366 7,683 369 138 5,804 249 1,123 14,660 2,065 10,719 1,876 39,926 453 3,409 4,019 24,713 3,377 3,955 5,242 1,919 351 277 401 2,294 11,266 796 237 892 8,729 440 172 2,387 2,387 230,115 193,284 127,337 1,978 32,261 978 11,031 1,276 7,240 11,183 14,621 798 10,076 300 3,447 22,210 19,122 3,088 4,758 4,758 47,748 997 372 83 2,563 118 1,635 98 415 3,178 200 604 6,754 3,537 23,945 3,249 4,011 1,338 237 2,278 158 95 –9 8 96 62 103 –20 –21 –162 –25 2 –187 17 31 590 260 233 97 1,129 –6 234 –182 468 471 144 232 173 26 17 15 1 –69 39 15 –16 –117 6 4 99 99 2,515 1,537 –828 31 –115 62 738 126 395 1,128 221 16 34 11 160 757 806 –49 161 161 217 24 12 6 161 2 20 3 –32 –51 –4 7 449 260 –951 311 49 16 –14 35 12



2002 118,162 4,645 4,442 109,075 76,004 69,101 3,810 3,093 123,444 6,743 1,257 100,513 1,781 13,150 208,693 30,156 158,745 19,792 734,833 5,478 52,010 60,973 519,735 41,272 55,365 70,948 24,261 2,470 2,661 3,233 38,323 208,768 10,831 3,242 15,492 171,703 5,482 2,018 27,580 27,580 4,028,005 3,431,123 2,353,456 25,561 605,044 12,238 179,889 13,528 89,314 152,093 230,582 10,295 168,194 3,121 48,972 366,300 318,976 47,324 56,283 56,283 916,575 13,520 3,914 1,488 54,810 950 24,819 1,106 4,258 62,834 1,823 5,757 122,910 47,846 510,618 59,922 62,102 22,966 2,721 34,751 1,664



Net change, 2000– 2002 –5,614 8 –104 –5,518 –1,619 –1,574 –276 231 5,265 1,220 36 3,791 218 –10,806 3,567 –11,048 –3,325 11,439 –741 –811 –9,795 21,041 2,067 –322 151 1,388 359 900 654 –3,150 –3,746 15 721 –1,120 –3,067 87 –382 679 679 –214,298 –209,928 –200,550 –507 –15,636 1,310 –1,685 691 –2,849 9,298 –12,061 260 –11,029 –87 –1,205 7,691 9,663 –1,972 2,507 2,507 –42,072 198 –74 –307 –3,682 –164 1,448 –323 –567 –997 113 –877 8,488 –260 –45,945 877 2,094 374 –19 1,240 499



Champaign-Urbana, IL . . . . . . . . . . . Champaign County, IL . . . . . . . . . . Ford County, IL . . . . . . . . . . . . . . Piatt County, IL. . . . . . . . . . . . . . . Charleston, WV . . . . . . . . . . . . . . . . Boone County, WV . . . . . . . . . . . . Clay County, WV . . . . . . . . . . . . . Kanawha County, WV . . . . . . . . . . Lincoln County, WV. . . . . . . . . . . . Putnam County, WV . . . . . . . . . . . Charleston-North Charleston, SC . . . . Berkeley County, SC . . . . . . . . . . . Charleston County, SC . . . . . . . . . Dorchester County, SC . . . . . . . . . Charlotte-Gastonia-Concord, NC-SC . . Anson County, NC . . . . . . . . . . . . Cabarrus County, NC . . . . . . . . . . Gaston County, NC . . . . . . . . . . . . Mecklenburg County, NC . . . . . . . . Union County, NC . . . . . . . . . . . . . York County, SC . . . . . . . . . . . . . . Charlottesville, VA . . . . . . . . . . . . . . Albemarle County, VA . . . . . . . . . . Fluvanna County, VA . . . . . . . . . . . Greene County, VA . . . . . . . . . . . . Nelson County, VA . . . . . . . . . . . . Charlottesville city, VA . . . . . . . . . . Chattanooga, TN-GA . . . . . . . . . . . . Catoosa County, GA . . . . . . . . . . . Dade County, GA . . . . . . . . . . . . . Walker County, GA . . . . . . . . . . . . Hamilton County, TN . . . . . . . . . . . Marion County, TN . . . . . . . . . . . . Sequatchie County, TN . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . . Laramie County, WY . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI . . Chicago-Naperville-Joliet, IL . . . . . . Cook County, IL. . . . . . . . . . . . . DeKalb County, IL . . . . . . . . . . . DuPage County, IL. . . . . . . . . . . Grundy County, IL . . . . . . . . . . . Kane County, IL. . . . . . . . . . . . . Kendall County, IL . . . . . . . . . . . McHenry County, IL . . . . . . . . . . Will County, IL. . . . . . . . . . . . . . Gary, IN . . . . . . . . . . . . . . . . . . . Jasper County, IN . . . . . . . . . . . Lake County, IN. . . . . . . . . . . . . Newton County, IN . . . . . . . . . . . Porter County, IN . . . . . . . . . . . . Lake County-Kenosha County, IL-WI Lake County, IL . . . . . . . . . . . . . Kenosha County, WI. . . . . . . . . . Chico, CA. . . . . . . . . . . . . . . . . . . . Butte County, CA . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN . . . . Dearborn County, IN . . . . . . . . . . . Franklin County, IN . . . . . . . . . . . . Ohio County, IN . . . . . . . . . . . . . . Boone County, KY . . . . . . . . . . . . Bracken County, KY . . . . . . . . . . . Campbell County, KY . . . . . . . . . . Gallatin County, KY . . . . . . . . . . . . Grant County, KY . . . . . . . . . . . . . Kenton County, KY . . . . . . . . . . . . Pendleton County, KY . . . . . . . . . . Brown County, OH . . . . . . . . . . . . Butler County, OH. . . . . . . . . . . . . Clermont County, OH . . . . . . . . . . Hamilton County, OH. . . . . . . . . . . Warren County, OH . . . . . . . . . . . . Clarksville, TN-KY . . . . . . . . . . . . . . Christian County, KY . . . . . . . . . . . Trigg County, KY . . . . . . . . . . . . . Montgomery County, TN . . . . . . . . Stewart County, TN . . . . . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



251



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 27,620 27,926 21,941 35,139 36,748 30,469 31,756 30,411 29,517 26,233 26,233 24,719 24,819 22,212 25,484 31,919 32,079 25,554 26,601 26,752 20,845 29,400 25,778 33,564 24,071 27,018 30,971 19,986 26,593 21,721 21,858 19,224 19,118 27,786 36,219 36,219 34,907 36,021 24,407 35,838 27,262 28,219 23,245 28,185 46,579 27,916 19,438 28,349 26,047 34,268 34,268 24,836 25,006 24,020 39,359 41,438 44,501 42,648 16,220 30,899 27,157 32,050 25,166 27,797 33,792 24,503 23,201 34,562 27,628 30,650 25,059 31,642 27,506 27,506 25,201 21,446 26,589 31,101 22,883 20,450 34,357 29,974 78.7 79.6 62.5 100.2 104.7 86.9 90.5 86.7 84.1 74.8 74.8 70.5 70.7 63.3 72.6 91.0 91.4 72.8 75.8 76.3 59.4 83.8 73.5 95.7 68.6 77.0 88.3 57.0 75.8 61.9 62.3 54.8 54.5 79.2 103.2 103.2 99.5 102.7 69.6 102.2 77.7 80.4 66.3 80.3 132.8 79.6 55.4 80.8 74.2 97.7 97.7 70.8 71.3 68.5 112.2 118.1 126.8 121.6 46.2 88.1 77.4 91.4 71.7 79.2 96.3 69.8 66.1 98.5 78.8 87.4 71.4 90.2 78.4 78.4 71.8 61.1 75.8 88.7 65.2 58.3 97.9 85.4



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . Bradley County, TN . . . . . . . . . . . . . . . . . . . . . Polk County, TN . . . . . . . . . . . . . . . . . . . . . . . Cleveland-Elyria-Mentor, OH . Cuyahoga County, OH . . . . Geauga County, OH . . . . . Lake County, OH . . . . . . . Lorain County, OH . . . . . . Medina County, OH. . . . . . Coeur d’Alene, ID . . . . . . . . Kootenai County, ID . . . . . College Station-Bryan, TX . . . Brazos County, TX . . . . . . Burleson County, TX . . . . . Robertson County, TX . . . . Colorado Springs, CO. . . . . . El Paso County, CO . . . . . Teller County, CO . . . . . . . Columbia, MO . . . . . . . . . . . Boone County, MO . . . . . . Howard County, MO . . . . . Columbia, SC . . . . . . . . . . . Calhoun County, SC . . . . . Fairfield County, SC . . . . . Kershaw County, SC . . . . . Lexington County, SC . . . . Richland County, SC . . . . . Saluda County, SC . . . . . . Columbus, GA-AL . . . . . . . . Russell County, AL . . . . . . Chattahoochee County, GA Harris County, GA. . . . . . . Marion County, GA . . . . . . Muscogee County, GA . . . . Columbus, IN . . . . . . . . . . . Bartholomew County, IN. . . Columbus, OH . . . . . . . . . . Delaware County, OH . . . . Fairfield County, OH . . . . . Franklin County, OH . . . . . Licking County, OH . . . . . . Madison County, OH . . . . . Morrow County, OH. . . . . . Pickaway County, OH . . . . Union County, OH. . . . . . . Corpus Christi, TX . . . . . . . . Aransas County, TX . . . . . Nueces County, TX . . . . . . San Patricio County, TX . . . Corvallis, OR . . . . . . . . . . . Benton County, OR . . . . . . Cumberland, MD-WV . . . . . . Allegany County, MD . . . . . Mineral County, WV . . . . . Dallas-Fort Worth-Arlington, Dallas-Plano-Irving, TX . . . Collin County, TX. . . . . . Dallas County, TX . . . . . Delta County, TX . . . . . . Denton County, TX. . . . . Ellis County, TX. . . . . . . Hunt County, TX . . . . . . Kaufman County, TX . . . Rockwall County, TX . . . Fort Worth-Arlington, TX . . Johnson County, TX . . . . Parker County, TX . . . . . Tarrant County, TX . . . . . Wise County, TX . . . . . . ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... TX . ... ... ... ... ... ... ... ... ... ... ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,322 45,910 7,412 1,100,716 679,639 50,256 129,693 151,221 89,907 63,799 63,799 101,571 86,019 8,326 7,226 296,726 284,080 12,646 90,576 85,093 5,483 349,852 7,252 11,382 28,200 124,321 169,131 9,566 123,146 21,003 3,270 13,794 3,277 81,802 36,213 36,213 916,311 74,221 70,695 606,603 80,310 19,688 17,439 23,766 23,589 197,774 10,919 157,208 29,647 42,371 42,371 45,001 32,520 12,481 2,965,577 1,987,225 341,633 1,174,623 2,508 296,034 63,539 39,007 41,018 28,863 978,352 70,499 49,101 831,646 27,106 63,925 20,155 43,770 37,470 37,470 52,600 31,545 21,055 196,151 26,484 8,713 75,447 85,507



Net change, 2000– 2004 249 358 –109 –23,015 –25,283 342 –1,621 –51 3,598 7,433 7,433 8,222 7,336 617 269 20,077 19,308 769 5,829 5,739 90 16,245 183 366 1,192 6,365 7,928 211 –1,897 –1,285 632 862 –53 –2,053 –1,278 –1,278 37,862 11,703 5,333 14,814 3,120 406 1,051 –32 1,467 12,616 1,192 9,235 2,189 1,080 1,080 –678 –240 –438 115,774 69,619 41,921 –12,308 –60 28,549 3,403 123 3,421 4,570 46,155 4,082 2,793 37,488 1,792 524 497 27 –1,351 –1,351 –241 –108 –133 –3,743 –783 –110 –2,044 –806



2000 53,073 45,552 7,521 1,123,731 704,922 49,914 131,314 151,272 86,309 56,366 56,366 93,349 78,683 7,709 6,957 276,649 264,772 11,877 84,747 79,354 5,393 333,607 7,069 11,016 27,008 117,956 161,203 9,355 125,043 22,288 2,638 12,932 3,330 83,855 37,491 37,491 878,449 62,518 65,362 591,789 77,190 19,282 16,388 23,798 22,122 185,158 9,727 147,973 27,458 41,291 41,291 45,679 32,760 12,919 2,849,803 1,917,606 299,712 1,186,931 2,568 267,485 60,136 38,884 37,597 24,293 932,197 66,417 46,308 794,158 25,314 63,401 19,658 43,743 38,821 38,821 52,841 31,653 21,188 199,894 27,267 8,823 77,491 86,313



2004 2,751 2,329 422 64,815 42,214 2,365 7,016 8,812 4,408 3,510 3,510 4,534 3,662 456 416 16,817 16,128 689 3,374 3,120 254 20,019 482 914 1,747 6,042 10,117 717 6,366 1,278 223 506 164 4,195 1,578 1,578 49,559 2,975 3,830 32,863 4,779 1,162 1,047 1,749 1,154 13,201 919 9,938 2,344 2,296 2,296 2,843 2,082 761 174,761 119,670 16,437 79,901 183 13,095 3,568 2,367 2,706 1,413 55,091 4,159 2,500 47,063 1,369 2,631 785 1,846 3,128 3,128 3,884 1,943 1,941 10,843 1,501 605 4,221 4,516



2000 2004 2000 1,990 1,647 343 42,886 28,076 1,527 4,387 6,148 2,748 3,520 3,520 3,602 2,960 314 328 7,802 7,467 335 1,872 1,715 157 10,224 257 527 972 3,064 5,074 330 5,621 922 215 404 131 3,949 943 943 28,299 1,684 2,167 18,654 2,859 665 624 969 677 9,993 578 7,794 1,621 1,627 1,627 2,646 1,942 704 102,753 69,063 8,564 46,638 132 7,615 2,172 1,665 1,540 737 33,690 2,534 1,668 28,608 880 2,191 658 1,533 2,306 2,306 1,976 1,048 928 8,257 1,334 496 3,550 2,877 5.2 5.1 5.7 5.9 6.2 4.7 5.4 5.8 4.9 5.5 5.5 4.5 4.3 5.5 5.8 5.7 5.7 5.4 3.7 3.7 4.6 5.7 6.6 8.0 6.2 4.9 6.0 7.5 5.2 6.1 6.8 3.7 5.0 5.1 4.4 4.4 5.4 4.0 5.4 5.4 6.0 5.9 6.0 7.4 4.9 6.7 8.4 6.3 7.9 5.4 5.4 6.3 6.4 6.1 5.9 6.0 4.8 6.8 7.3 4.4 5.6 6.1 6.6 4.9 5.6 5.9 5.1 5.7 5.1 4.1 3.9 4.2 8.3 8.3 7.4 6.2 9.2 5.5 5.7 6.9 5.6 5.3 3.7 3.6 4.6 3.8 4.0 3.1 3.3 4.1 3.2 6.2 6.2 3.9 3.8 4.1 4.7 2.8 2.8 2.8 2.2 2.2 2.9 3.1 3.6 4.8 3.6 2.6 3.1 3.5 4.5 4.1 8.2 3.1 3.9 4.7 2.5 2.5 3.2 2.7 3.3 3.2 3.7 3.4 3.8 4.1 3.1 5.4 5.9 5.3 5.9 3.9 3.9 5.8 5.9 5.4 3.6 3.6 2.9 3.9 5.1 2.8 3.6 4.3 4.1 3.0 3.6 3.8 3.6 3.6 3.5 3.5 3.3 3.5 5.9 5.9 3.7 3.3 4.4 4.1 4.9 5.6 4.6 3.3



Net change, 2000– 2002 2002 2,127 1,883 244 56,335 37,337 2,664 6,439 5,980 3,915 3,692 3,692 3,903 3,366 292 245 14,992 14,346 646 4,063 3,857 206 16,195 209 335 1,162 5,225 9,038 226 5,721 841 65 418 88 4,309 1,854 1,854 39,642 3,067 2,604 28,176 2,920 750 436 828 861 9,447 503 7,931 1,013 1,991 1,991 2,312 1,831 481 130,270 90,844 12,961 62,844 66 8,774 2,122 1,323 1,556 1,198 39,426 2,249 1,740 34,461 976 3,041 463 2,578 1,735 1,735 2,440 908 1,532 9,488 1,133 319 3,573 4,463 –4 12 –16 –616 –869 49 59 157 –12 29 29 183 150 13 20 687 680 7 51 54 –3 80 7 12 –24 257 –153 –19 62 –64 8 2 11 105 –118 –118 1,002 548 63 209 56 25 27 14 60 85 26 58 1 64 64 –15 –16 1 3,453 2,020 1,880 –963 –6 752 74 33 93 157 1,433 73 187 1,093 80 –3 3 –19 –19 7 –30 37 –101 –30 –31 –72 32



2002 38,016 36,074 1,942 970,650 711,881 28,417 89,556 91,812 48,984 35,947 35,947 54,942 50,111 2,668 2,163 209,821 204,667 5,154 64,221 62,578 1,643 267,755 2,161 5,514 14,656 75,164 167,948 2,312 96,507 9,437 636 4,362 1,943 80,129 35,589 35,589 785,150 53,048 30,874 603,696 46,961 11,066 4,384 12,133 22,988 129,676 3,523 115,367 10,786 27,638 27,638 30,462 25,212 5,250 2,501,040 1,821,159 217,088 1,402,914 619 123,008 28,192 17,561 19,008 12,769 679,881 26,160 16,260 626,555 10,906 64,548 9,732 54,816 27,504 27,504 37,675 10,172 27,503 159,127 12,126 2,205 65,337 79,459



Net change, 2000– 2002 –4,146 –4,054 –92 –86,684 –67,028 –754 –7,647 –6,986 –4,269 –1,065 –1,065 3,173 2,736 377 60 –5,466 –5,322 –144 –107 71 –178 –4,301 73 –1,353 –566 7,094 –7,666 –1,883 –8,961 –1,728 –711 66 –228 –6,360 –2,976 –2,976 –14,365 10,174 –238 –23,145 –1,676 –200 –725 7 1,438 –3,029 –69 –1,424 –1,536 380 380 326 76 250 –45,791 –31,597 33,764 –75,202 148 12,393 –290 –2,939 –1,306 1,835 –14,194 –407 602 –14,372 –17 –2,468 –1,090 –1,378 –1,479 –1,479 –1,301 –1,590 289 –9,336 –2,703 –198 –4,122 –2,313



Dalton, GA . . . . . . . . . . . . . . . . . Murray County, GA . . . . . . . . . . Whitfield County, GA . . . . . . . . . Danville, IL . . . . . . . . . . . . . . . . . Vermilion County, IL . . . . . . . . . Danville, VA . . . . . . . . . . . . . . . . Pittsylvania County, VA . . . . . . . Danville city, VA . . . . . . . . . . . . Davenport-Moline-Rock Island, IA-IL Henry County, IL. . . . . . . . . . . . Mercer County, IL . . . . . . . . . . . Rock Island County, IL. . . . . . . . Scott County, IA . . . . . . . . . . . . See footnotes at end of table.



252



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 32,342 27,636 28,631 33,913 26,682 27,906 34,151 27,307 31,668 31,668 24,012 24,012 39,322 33,322 40,274 53,654 23,803 41,817 38,638 25,494 30,820 35,560 24,117 34,027 29,370 22,123 22,096 35,005 19,628 41,443 40,582 40,582 41,965 27,718 32,472 38,131 45,081 30,112 26,187 20,629 23,393 26,882 26,545 26,545 27,073 27,073 27,494 32,934 27,730 23,013 39,256 23,898 43,002 30,628 28,778 27,195 27,329 27,142 25,370 25,370 26,183 26,532 20,807 31,994 31,994 26,569 26,569 23,411 23,411 28,066 28,066 29,030 29,030 92.2 78.8 81.6 96.7 76.1 79.5 97.3 77.8 90.3 90.3 68.4 68.4 112.1 95.0 114.8 152.9 67.8 119.2 110.1 72.7 87.9 101.4 68.7 97.0 83.7 63.1 63.0 99.8 56.0 118.1 115.7 115.7 119.6 79.0 92.6 108.7 128.5 85.8 74.6 58.8 66.7 76.6 75.7 75.7 77.2 77.2 78.4 93.9 79.0 65.6 111.9 68.1 122.6 87.3 82.0 77.5 77.9 77.4 72.3 72.3 74.6 75.6 59.3 91.2 91.2 75.7 75.7 66.7 66.7 80.0 80.0 82.7 82.7



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Dayton, OH . . . . . . . . . . Greene County, OH. . . . Miami County, OH. . . . . Montgomery County, OH Preble County, OH . . . . Decatur, AL . . . . . . . . . . Lawrence County, AL. . . Morgan County, AL . . . . Decatur, IL . . . . . . . . . . . Macon County, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 428,304 77,007 54,180 275,327 21,790 72,206 16,121 56,085 51,956 51,956 231,766 231,766 1,296,362 202,362 294,372 24,060 6,137 306,567 128,816 12,659 3,318 308,615 9,456 290,000 26,553 6,174 7,913 224,962 24,398 2,206,277 918,630 918,630 1,287,647 45,093 91,678 422,696 643,206 84,974 65,607 11,892 7,653 46,062 69,332 69,332 49,054 49,054 145,511 16,983 105,293 23,235 241,836 29,480 128,061 65,547 18,748 86,973 31,738 55,235 59,885 59,885 52,486 45,790 6,696 100,003 100,003 40,584 40,584 290,119 290,119 140,830 140,830 173,146 173,146



Net change, 2000– 2004 –1,669 980 467 –3,084 –32 –1,593 –665 –928 –4,170 –4,170 22,446 22,446 78,429 (X) 12,553 (NA) 96 1,547 23,230 1,054 11 (X) 933 12,435 2,854 76 243 8,547 715 –84,522 –36,307 –36,307 –48,215 –943 1,776 –12,272 –34,477 –2,299 –240 –444 –80 284 5,345 5,345 220 220 2,866 1,025 1,409 432 10,808 2,782 6,403 952 671 3,613 1,700 1,913 3,766 3,766 3,258 2,947 311 2,728 2,728 –2,244 –2,244 14,845 14,845 542 542 2,269 2,269



2000 429,973 76,027 53,713 278,411 21,822 73,799 16,786 57,013 56,126 56,126 209,320 209,320 1,217,933 186,664 281,819 (X) 6,041 305,020 105,586 11,605 3,307 309,368 8,523 277,565 23,699 6,098 7,670 216,415 23,683 2,290,799 954,937 954,937 1,335,862 46,036 89,902 434,968 677,683 87,273 65,847 12,336 7,733 45,778 63,987 63,987 48,834 48,834 142,645 15,958 103,884 22,803 231,028 26,698 121,658 64,595 18,077 83,360 30,038 53,322 56,119 56,119 49,228 42,843 6,385 97,275 97,275 42,828 42,828 275,274 275,274 140,288 140,288 170,877 170,877



2004 26,693 4,263 3,087 18,014 1,329 4,420 1,029 3,391 3,780 3,780 10,580 10,580 74,633 12,945 16,317 1,324 339 20,455 5,443 577 180 16,566 487 13,531 955 283 404 10,866 1,023 157,141 78,785 78,785 78,356 3,451 4,375 28,215 35,789 6,526 3,093 575 422 2,096 2,479 2,479 2,310 2,310 8,497 1,068 6,101 1,328 10,586 1,130 5,716 2,508 1,232 4,115 1,773 2,342 10,212 10,212 2,763 2,429 334 4,169 4,169 2,463 2,463 22,700 22,700 8,886 8,886 12,783 12,783



2000 2004 2000 16,701 2,822 1,891 11,150 838 2,892 748 2,144 2,910 2,910 7,065 7,065 30,477 4,972 6,674 (X) 157 8,872 2,112 255 79 7,146 210 6,731 477 169 250 5,304 531 83,515 40,776 40,776 42,739 1,968 2,336 15,562 19,227 3,646 2,704 561 341 1,802 2,290 2,290 1,629 1,629 6,349 788 4,594 967 6,790 742 3,617 1,637 794 2,938 1,250 1,688 9,811 9,811 2,168 1,882 286 2,458 2,458 1,843 1,843 18,721 18,721 6,363 6,363 9,236 9,236 6.2 5.5 5.7 6.5 6.1 6.1 6.4 6.0 7.3 7.3 4.6 4.6 5.8 6.4 5.5 5.5 5.5 6.7 4.2 4.6 5.4 5.4 5.2 4.7 3.6 4.6 5.1 4.8 4.2 7.1 8.6 8.6 6.1 7.7 4.8 6.7 5.6 7.7 4.7 4.8 5.5 4.6 3.6 3.6 4.7 4.7 5.8 6.3 5.8 5.7 4.4 3.8 4.5 3.8 6.6 4.7 5.6 4.2 17.1 17.1 5.3 5.3 5.0 4.2 4.2 6.1 6.1 7.8 7.8 6.3 6.3 7.4 7.4 3.9 3.7 3.5 4.0 3.8 3.9 4.5 3.8 5.2 5.2 3.4 3.4 2.5 2.7 2.4 (X) 2.6 2.9 2.0 2.2 2.4 2.3 2.5 2.4 2.0 2.8 3.3 2.5 2.2 3.6 4.3 4.3 3.2 4.3 2.6 3.6 2.8 4.2 4.1 4.5 4.4 3.9 3.6 3.6 3.3 3.3 4.5 4.9 4.4 4.2 2.9 2.8 3.0 2.5 4.4 3.5 4.2 3.2 17.5 17.5 4.4 4.4 4.5 2.5 2.5 4.3 4.3 6.8 6.8 4.5 4.5 5.4 5.4



Net change, 2000– 2002 2002 18,969 2,924 2,269 13,041 735 3,191 421 2,770 2,674 2,674 11,246 11,246 69,993 7,690 17,024 1,303 351 21,792 5,199 515 86 15,599 434 14,075 1,038 322 370 11,573 772 105,651 35,955 35,955 69,696 1,839 4,014 18,972 41,291 3,580 3,615 492 331 2,792 2,991 2,991 2,631 2,631 7,392 750 5,539 1,103 10,675 993 5,942 2,953 787 4,007 1,441 2,566 2,324 2,324 2,282 2,066 216 5,102 5,102 1,932 1,932 12,403 12,403 6,807 6,807 9,585 9,585 –130 37 41 –222 14 41 6 35 –48 –48 444 444 2,614 (X) 612 (NA) 17 –629 1,121 62 3 (X) 36 311 221 22 25 50 –7 –250 –56 –56 –194 18 215 132 –608 49 54 36 6 12 30 30 –28 –28 61 67 –6 154 58 –9 65 40 85 205 –120 51 51 104 109 –5 90 90 15 15 93 93 –156 –156 –105 –105



2002 358,042 46,340 38,416 263,770 9,516 49,518 4,334 45,184 51,065 51,065 133,177 133,177 1,055,380 130,778 280,035 26,601 2,380 382,217 50,758 2,504 4,185 174,739 1,183 267,473 13,679 2,093 2,923 240,997 7,781 1,892,160 714,125 714,125 1,178,035 18,896 43,397 305,885 765,163 44,694 54,812 3,943 3,853 47,016 46,157 46,157 47,196 47,196 100,026 7,908 78,399 13,719 223,105 12,926 164,125 35,807 10,247 63,745 18,066 45,679 25,535 25,535 33,086 31,069 2,017 108,296 108,296 34,242 34,242 194,012 194,012 118,018 118,018 117,253 117,253



Net change, 2000– 2002 –24,594 1,178 –92 –25,828 148 –2,527 –1,055 –1,472 –6,070 –6,070 1,917 1,917 –6,271 (X) –12,372 (NA) –383 –29,086 12,856 185 468 (X) –153 1,334 3,883 225 149 –3,125 202 –106,394 –43,362 –43,362 –63,032 –2,821 –1,130 –29,365 –25,927 –3,789 –26 –467 –332 773 1,757 1,757 –2,792 –2,792 –2,225 –1,153 –777 –295 –13 –210 955 –218 –540 213 462 –249 182 182 –1,542 –1,630 88 –10,058 –10,058 –913 –913 –5,869 –5,869 –4,382 –4,382 –2,272 –2,272



Deltona-Daytona Beach-Ormond Beach, FL Volusia County, FL . . . . . . . . . . . . . . . Denver-Aurora, CO3 . . . . . . . . . . . . . . . . Adams County, CO3 . . . . . . . . . . . . . . Arapahoe County, CO . . . . . . . . . . . . . Broomfield County, CO3 . . . . . . . . . . . . Clear Creek County, CO . . . . . . . . . . . Denver County, CO . . . . . . . . . . . . . . . Douglas County, CO . . . . . . . . . . . . . . Elbert County, CO. . . . . . . . . . . . . . . . Gilpin County, CO . . . . . . . . . . . . . . . . Jefferson County, CO3 . . . . . . . . . . . . . Park County, CO . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . . . . . . . . . . . Dallas County, IA . . . . . . . . . . . . . . . . Guthrie County, IA . . . . . . . . . . . . . . . Madison County, IA . . . . . . . . . . . . . . . Polk County, IA . . . . . . . . . . . . . . . . . Warren County, IA. . . . . . . . . . . . . . . . Detroit-Warren-Livonia, MI. . . . . . . . . . . Detroit-Livonia-Dearborn, MI . . . . . . . . . Wayne County, MI . . . . . . . . . . . . . . Warren-Farmington Hills-Troy, MI . . . . . . Lapeer County, MI . . . . . . . . . . . . . . Livingston County, MI . . . . . . . . . . . . Macomb County, MI . . . . . . . . . . . . . Oakland County, MI . . . . . . . . . . . . . St. Clair County, MI . . . . . . . . . . . . . Dothan, AL . . . . . . . . . . . . . . . . . . . . . . Geneva County, AL . . . . . . . . . . . . . . . Henry County, AL . . . . . . . . . . . . . . . . Houston County, AL . . . . . . . . . . . . . . Dover, DE . . . . . . . . . . . . . . . . . . . . . . Kent County, DE. . . . . . . . . . . . . . . . . Dubuque, IA . . . . . . . . . . . . . . . . . . . . . Dubuque County, IA . . . . . . . . . . . . . . Duluth, MN-WI . . . . . . . . . . . . . . . . . . . Carlton County, MN. . . . . . . . . . . . . . . St. Louis County, MN. . . . . . . . . . . . . . Douglas County, WI . . . . . . . . . . . . . . Durham, NC . . . . . . . . . . . . . . . . . . . . . Chatham County, NC. . . . . . . . . . . . . . Durham County, NC . . . . . . . . . . . . . . Orange County, NC. . . . . . . . . . . . . . . Person County, NC . . . . . . . . . . . . . . . Eau Claire, WI. . . . . . . . . . . . . . . . . . . . Chippewa County, WI . . . . . . . . . . . . . Eau Claire County, WI . . . . . . . . . . . . . El Centro, CA . . . . . . . . . . . . . . . . . . . . Imperial County, CA . . . . . . . . . . . . . . Elizabethtown, KY . . . . . . . . . . . . . . . . . Hardin County, KY . . . . . . . . . . . . . . . Larue County, KY . . . . . . . . . . . . . . . . Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . Elkhart County, IN. . . . . . . . . . . . . . . . Elmira, NY . . . . . . . . . Chemung County, NY El Paso, TX . . . . . . . . El Paso County, TX. . Erie, PA . . . . . . . . . . . Erie County, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Eugene-Springfield, OR . . . . . . . . . . . . . . . . . . . Lane County, OR . . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



253



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 30,542 37,239 41,845 29,186 31,574 28,660 30,519 35,531 35,531 27,817 20,229 29,274 28,657 28,657 25,048 25,170 22,790 28,697 30,495 22,289 27,489 21,474 24,631 24,631 33,644 33,644 27,199 29,021 26,545 23,553 24,516 22,870 28,632 28,632 31,617 31,617 25,642 24,714 20,931 27,537 19,717 17,299 25,798 25,798 32,397 33,093 25,898 27,756 29,157 29,157 23,601 23,601 26,290 26,371 20,602 30,753 30,753 27,640 28,176 25,916 24,535 24,535 24,883 22,347 25,744 27,293 27,293 33,819 27,226 28,569 34,349 28,764 87.1 106.2 119.3 83.2 90.0 81.7 87.0 101.3 101.3 79.3 57.7 83.4 81.7 81.7 71.4 71.7 65.0 81.8 86.9 63.5 78.4 61.2 70.2 70.2 95.9 95.9 77.5 82.7 75.7 67.1 69.9 65.2 81.6 81.6 90.1 90.1 73.1 70.4 59.7 78.5 56.2 49.3 73.5 73.5 92.3 94.3 73.8 79.1 83.1 83.1 67.3 67.3 74.9 75.2 58.7 87.7 87.7 78.8 80.3 73.9 69.9 69.9 70.9 63.7 73.4 77.8 77.8 96.4 77.6 81.4 97.9 82.0



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Evansville, IN-KY . . . . . . . . . . . . . . . . Gibson County, IN. . . . . . . . . . . . . . Posey County, IN . . . . . . . . . . . . . . Vanderburgh County, IN . . . . . . . . . . Warrick County, IN . . . . . . . . . . . . . Henderson County, KY . . . . . . . . . . Webster County, KY . . . . . . . . . . . . Fairbanks, AK . . . . . . . . . . . . . . . . . . Fairbanks North Star Borough, AK . . . Fargo, ND-MN. . . . . . . . . . . . . . . . . . Clay County, MN . . . . . . . . . . . . . . Cass County, ND . . . . . . . . . . . . . . Farmington, NM. . . . . . . . . . . . . . . . . San Juan County, NM . . . . . . . . . . . Fayetteville, NC . . . . . . . . . . . . . . . . . Cumberland County, NC . . . . . . . . . Hoke County, NC . . . . . . . . . . . . . . Fayetteville-Springdale-Rogers, AR-MO . Benton County, AR . . . . . . . . . . . . . Madison County, AR . . . . . . . . . . . . Washington County, AR . . . . . . . . . . McDonald County, MO. . . . . . . . . . . Flagstaff, AZ . . . . . . . . . . . . . . . . . . . Coconino County, AZ. . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Genesee County, MI . . . . . . . . . . . . Florence, SC. . . . . . . . . . . . . . . . . . . Darlington County, SC . . . . . . . . . . . Florence County, SC . . . . . . . . . . . . Florence-Muscle Shoals, AL. . . . . . . . . Colbert County, AL . . . . . . . . . . . . . Lauderdale County, AL. . . . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fond du Lac County, WI . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Larimer County, CO . . . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Crawford County, AR . . . . . . . . . . . . Franklin County, AR . . . . . . . . . . . . Sebastian County, AR . . . . . . . . . . . Le Flore County, OK . . . . . . . . . . . . Sequoyah County, OK . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Okaloosa County, FL . . . . . . . . . . . . Fort Wayne, IN . . . . . . . . . . . . . . . . . Allen County, IN . . . . . . . . . . . . . . . Wells County, IN. . . . . . . . . . . . . . . Whitley County, IN . . . . . . . . . . . . . Fresno, CA . . . . . . . . . . . . . . . . . . . . Fresno County, CA . . . . . . . . . . . . . Gadsden, AL. . . . . . . . . . . . . . . . . . . Etowah County, AL . . . . . . . . . . . . . Gainesville, FL . . . . . . . . . . . . . . . . . Alachua County, FL. . . . . . . . . . . . . Gilchrist County, FL. . . . . . . . . . . . . Gainesville, GA . . . . . . . . . . . . . . . . . Hall County, GA . . . . . . . . . . . . . . . Glens Falls, NY . . . . . . . . . . . . . . . . . Warren County, NY . . . . . . . . . . . . . Washington County, NY . . . . . . . . . . Goldsboro, NC . . . . . . . . . . . . . . . . . Wayne County, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180,580 17,079 13,841 90,655 29,660 22,767 6,578 43,514 43,514 112,620 30,864 81,756 53,564 53,564 139,622 123,223 16,399 207,116 92,300 7,537 95,200 12,079 67,044 67,044 213,704 213,704 95,670 32,322 63,348 66,618 24,967 41,651 57,401 57,401 162,927 162,927 132,182 26,130 8,287 57,995 21,615 18,155 92,689 92,689 209,628 177,333 14,836 17,459 409,472 409,472 47,268 47,268 127,621 120,629 6,992 78,439 78,439 66,679 35,087 31,592 51,526 51,526 54,875 17,207 37,668 68,915 68,915 400,969 30,164 30,288 317,604 22,913



Net change, 2000– 2004 1,616 268 –76 532 1,118 –39 –187 2,580 2,580 8,073 2,665 5,408 3,959 3,959 6,326 4,364 1,962 30,685 15,663 635 13,181 1,206 4,449 4,449 –749 –749 4,191 949 3,242 –3,649 –1,297 –2,352 1,511 1,511 16,577 16,577 5,194 1,427 238 1,660 900 969 12,425 12,425 861 692 –117 286 20,243 20,243 –1,493 –1,493 5,217 4,641 576 5,226 5,226 3,182 1,744 1,438 814 814 2,558 1,297 1,261 10,085 10,085 –1,891 –296 252 –1,695 –152



2000 178,964 16,811 13,917 90,123 28,542 22,806 6,765 40,934 40,934 104,547 28,199 76,348 49,605 49,605 133,296 118,859 14,437 176,431 76,637 6,902 82,019 10,873 62,595 62,595 214,453 214,453 91,479 31,373 60,106 70,267 26,264 44,003 55,890 55,890 146,350 146,350 126,988 24,703 8,049 56,335 20,715 17,186 80,264 80,264 208,767 176,641 14,953 17,173 389,229 389,229 48,761 48,761 122,404 115,988 6,416 73,213 73,213 63,497 33,343 30,154 50,712 50,712 52,317 15,910 36,407 58,830 58,830 402,860 30,460 30,036 319,299 23,065



2004 8,322 787 598 4,390 1,240 1,027 280 2,855 2,855 3,267 1,116 2,151 3,250 3,250 7,852 6,875 977 7,522 3,121 302 3,513 586 3,667 3,667 17,807 17,807 7,813 2,599 5,214 4,341 1,731 2,610 2,635 2,635 7,511 7,511 6,807 1,326 399 2,791 1,199 1,092 3,220 3,220 10,868 9,170 726 972 42,464 42,464 2,977 2,977 4,421 4,151 270 2,983 2,983 3,194 1,709 1,485 2,806 2,806 2,046 901 1,145 3,533 3,533 27,876 1,784 2,455 21,790 1,847



2000 2004 2000 5,725 532 405 2,771 900 805 312 2,453 2,453 2,531 931 1,600 2,865 2,865 6,169 5,336 833 5,106 2,120 214 2,410 362 2,829 2,829 9,607 9,607 3,858 1,475 2,383 3,268 1,306 1,962 1,666 1,666 3,550 3,550 4,674 877 270 1,881 894 752 2,955 2,955 5,374 4,602 351 421 40,517 40,517 2,551 2,551 3,722 3,492 230 2,170 2,170 2,508 1,388 1,120 2,041 2,041 1,787 779 1,008 1,824 1,824 13,139 1,017 1,106 9,952 1,064 4.6 4.6 4.3 4.8 4.2 4.5 4.3 6.6 6.6 2.9 3.6 2.6 6.1 6.1 5.6 5.6 6.0 3.6 3.4 4.0 3.7 4.9 5.5 5.5 8.3 8.3 8.2 8.0 8.2 6.5 6.9 6.3 4.6 4.6 4.6 4.6 5.1 5.1 4.8 4.8 5.5 6.0 3.5 3.5 5.2 5.2 4.9 5.6 10.4 10.4 6.3 6.3 3.5 3.4 3.9 3.8 3.8 4.8 4.9 4.7 5.4 5.4 3.7 5.2 3.0 5.1 5.1 7.0 5.9 8.1 6.9 8.1 3.2 3.2 2.9 3.1 3.2 3.5 4.6 6.0 6.0 2.4 3.3 2.1 5.8 5.8 4.6 4.5 5.8 2.9 2.8 3.1 2.9 3.3 4.5 4.5 4.5 4.5 4.2 4.7 4.0 4.7 5.0 4.5 3.0 3.0 2.4 2.4 3.7 3.6 3.4 3.3 4.3 4.4 3.7 3.7 2.6 2.6 2.3 2.5 10.4 10.4 5.2 5.2 3.0 3.0 3.6 3.0 3.0 3.9 4.2 3.7 4.0 4.0 3.4 4.9 2.8 3.1 3.1 3.3 3.3 3.7 3.1 4.6



Net change, 2000– 2002 2002 8,824 724 524 5,190 1,051 1,078 257 2,263 2,263 5,497 1,161 4,336 2,588 2,588 5,600 5,294 306 8,936 3,965 195 4,438 338 3,608 3,608 8,997 8,997 4,562 1,264 3,298 3,325 1,326 1,999 2,491 2,491 8,500 8,500 5,940 965 280 3,333 746 616 4,906 4,906 10,440 9,125 612 703 15,553 15,553 2,173 2,173 5,471 5,283 188 3,531 3,531 3,419 2,322 1,097 2,338 2,338 2,573 815 1,758 3,940 3,940 18,668 1,018 993 15,821 836 –86 –25 –7 –62 14 –7 1 88 88 177 14 163 101 101 12 –11 23 513 308 –3 209 –1 150 150 –120 –120 25 –12 37 –39 –34 –5 –25 –25 483 483 113 50 –1 28 23 13 108 108 187 176 4 7 273 273 18 18 130 112 18 169 169 26 3 23 –2 –2 3 –16 19 46 46 577 10 –43 548 62



2002 157,880 12,136 7,327 104,671 12,474 18,576 2,696 24,597 24,597 88,369 14,238 74,131 34,726 34,726 87,496 83,030 4,466 157,773 77,065 2,345 73,563 4,800 39,167 39,167 139,377 139,377 76,853 20,294 56,559 43,258 17,941 25,317 43,382 43,382 96,336 96,336 103,052 15,637 3,355 69,658 7,645 6,757 57,709 57,709 189,584 168,433 10,244 10,907 220,182 220,182 32,472 32,472 83,414 82,235 1,179 56,685 56,685 43,823 33,440 10,383 37,854 37,854 35,756 9,062 26,694 42,915 42,915 359,094 10,837 11,199 328,391 8,667



Net change, 2000– 2002 –7,360 71 –228 –6,471 813 –1,424 –121 2,989 2,989 329 –472 801 386 386 –6,358 –6,098 –260 12,220 9,587 401 2,277 –45 250 250 –12,362 –12,362 –1,064 –1,273 209 –7,404 –1,446 –5,958 –1,724 –1,724 2,758 2,758 –4,344 –1,135 211 –3,271 –218 69 –587 –587 –12,454 –10,550 –1,175 –729 7,232 7,232 –1,873 –1,873 932 826 106 –1,170 –1,170 –1,425 –1,692 267 137 137 –641 320 –961 –435 –435 –9,506 –892 –757 –7,598 –259



Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . Polk County, MN. . . . . . . . . . . . . . . . . . . . . . . Grand Forks County, ND . . . . . . . . . . . . . . . . . Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . Mesa County, CO . . . . . . . . . . . . . . . . . . . . . . Grand Rapids-Wyoming, MI . Barry County, MI. . . . . . . Ionia County, MI . . . . . . . Kent County, MI . . . . . . . Newaygo County, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



254



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 22,877 22,877 31,914 31,914 32,517 33,007 27,249 28,317 30,834 32,511 24,178 25,951 25,662 18,689 25,898 32,068 33,574 25,207 23,550 25,531 27,072 25,440 22,134 27,905 28,480 26,782 23,856 26,959 26,959 31,745 31,154 32,740 20,295 26,395 27,888 25,278 41,444 42,835 36,516 29,371 24,440 24,696 22,403 28,972 26,640 22,561 26,636 24,860 27,547 22,582 22,909 14,955 33,002 33,002 31,756 31,756 23,446 23,446 29,887 29,140 30,379 40,435 27,067 34,765 31,209 34,940 28,103 42,107 23,103 33,488 17,654 27,525 26,954 30,125 26,286 19,794 26,323 30,484 65.2 65.2 91.0 91.0 92.7 94.1 77.7 80.7 87.9 92.7 68.9 74.0 73.1 53.3 73.8 91.4 95.7 71.9 67.1 72.8 77.2 72.5 63.1 79.5 81.2 76.3 68.0 76.8 76.8 90.5 88.8 93.3 57.9 75.2 79.5 72.1 118.1 122.1 104.1 83.7 69.7 70.4 63.9 82.6 75.9 64.3 75.9 70.9 78.5 64.4 65.3 42.6 94.1 94.1 90.5 90.5 66.8 66.8 85.2 83.1 86.6 115.3 77.2 99.1 89.0 99.6 80.1 120.0 65.9 95.5 50.3 78.5 76.8 85.9 74.9 56.4 75.0 86.9



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Great Falls, MT . . . . . . . . . . . . . Cascade County, MT . . . . . . . . Greeley, CO3 . . . . . . . . . . . . . . Weld County, CO3. . . . . . . . . . Green Bay, WI . . . . . . . . . . . . . Brown County, WI . . . . . . . . . . Kewaunee County, WI . . . . . . . Oconto County, WI . . . . . . . . . Greensboro-High Point, NC . . . . . Guilford County, NC . . . . . . . . Randolph County, NC . . . . . . . Rockingham County, NC . . . . . Greenville, NC. . . . . . . . . . . . . . Greene County, NC. . . . . . . . . Pitt County, NC . . . . . . . . . . . Greenville, SC. . . . . . . . . . . . . . Greenville County, SC . . . . . . . Laurens County, SC . . . . . . . . Pickens County, SC . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . . Hancock County, MS . . . . . . . . Harrison County, MS . . . . . . . . Stone County, MS. . . . . . . . . . Hagerstown-Martinsburg, MD-WV . Washington County, MD. . . . . . Berkeley County, WV. . . . . . . . Morgan County, WV . . . . . . . . Hanford-Corcoran, CA . . . Kings County, CA . . . . . Harrisburg-Carlisle, PA . . . Cumberland County, PA . Dauphin County, PA . . . Perry County, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,209 39,209 108,615 108,615 172,444 139,419 12,143 20,882 357,938 237,818 73,726 46,394 81,156 9,013 72,143 295,086 204,636 33,374 57,076 119,933 20,641 92,389 6,903 114,984 66,981 41,034 6,969 54,424 54,424 279,913 119,654 135,984 24,275 63,020 40,832 22,188 607,091 438,416 88,819 79,856 62,337 35,853 21,227 5,257 179,873 18,624 43,197 40,581 77,471 26,850 21,677 5,173 133,594 133,594 431,677 431,677 40,904 40,904 92,539 43,735 48,804 2,573,882 12,653 130,607 13,822 217,361 136,955 1,827,239 32,260 176,724 10,049 16,212 130,228 22,844 16,924 28,280 44,505 17,675



Net change, 2000– 2004 922 922 (X) (X) 9,840 7,921 502 1,417 7,777 5,673 1,678 426 2,976 445 2,531 1,006 1,793 –416 –371 2,469 1,038 1,135 296 1,874 777 1,416 –319 5,065 5,065 11,500 5,839 4,683 978 7,321 4,765 2,556 17,054 9,448 3,402 4,204 1,739 583 1,114 42 –7,693 –677 –2,892 –1,668 –2,456 2,924 2,065 859 –1,997 –1,997 –528 –528 2,560 2,560 5,886 2,765 3,121 182,523 646 10,572 718 31,847 8,974 102,156 2,022 24,048 656 884 4,446 1,416 1,130 2,244 –325 –19



2000 38,287 38,287 93,538 93,538 162,604 131,498 11,641 19,465 350,161 232,145 72,048 45,968 78,180 8,568 69,612 294,080 202,843 33,790 57,447 117,464 19,603 91,254 6,607 113,110 66,204 39,618 7,288 49,359 49,359 268,413 113,815 131,301 23,297 55,699 36,067 19,632 590,037 428,968 85,417 75,652 60,598 35,270 20,113 5,215 187,566 19,301 46,089 42,249 79,927 23,926 19,612 4,314 135,591 135,591 432,205 432,205 38,344 38,344 86,653 40,970 45,683 2,391,359 12,007 120,035 13,104 185,514 127,981 1,725,083 30,238 152,676 9,393 15,328 125,782 21,428 15,794 26,036 44,830 17,694



2004 1,643 1,643 5,829 5,829 8,098 6,295 529 1,274 19,985 12,817 3,745 3,423 4,639 556 4,083 18,327 12,074 2,382 3,871 6,157 1,012 4,770 375 4,932 2,939 1,704 289 5,889 5,889 12,588 4,723 6,648 1,217 1,862 1,121 741 30,827 23,927 3,684 3,216 3,214 1,957 874 383 12,078 1,116 2,877 3,008 5,077 1,470 1,260 210 7,519 7,519 13,692 13,692 2,425 2,425 4,699 2,179 2,520 162,229 687 9,153 813 11,482 9,524 116,959 2,889 9,020 663 1,039 7,218 1,368 1,021 1,766 2,125 938



2000 2004 2000 1,901 1,901 2,430 2,430 4,714 3,721 309 684 12,367 7,654 2,483 2,230 3,337 401 2,936 7,925 5,172 1,068 1,685 5,703 949 4,374 380 4,125 2,409 1,431 285 4,964 4,964 9,117 3,603 4,643 871 1,048 604 444 14,416 11,173 1,802 1,441 2,936 1,772 832 332 5,636 535 1,642 1,239 2,220 1,223 1,062 161 3,639 3,639 16,961 16,961 1,624 1,624 3,723 1,728 1,995 103,796 478 6,000 564 6,672 6,319 75,205 1,801 5,627 445 685 7,159 1,247 925 1,919 2,142 926 4.2 4.2 5.4 5.4 4.7 4.5 4.4 6.1 5.6 5.4 5.1 7.4 5.7 6.2 5.7 6.2 5.9 7.1 6.8 5.1 4.9 5.2 5.4 4.3 4.4 4.2 4.1 10.8 10.8 4.5 3.9 4.9 5.0 3.0 2.7 3.3 5.1 5.5 4.1 4.0 5.2 5.5 4.1 7.3 6.7 6.0 6.7 7.4 6.6 5.5 5.8 4.1 5.6 5.6 3.2 3.2 5.9 5.9 5.1 5.0 5.2 6.3 5.4 7.0 5.9 5.3 7.0 6.4 9.0 5.1 6.6 6.4 5.5 6.0 6.0 6.2 4.8 5.3 5.0 5.0 2.6 2.6 2.9 2.8 2.7 3.5 3.5 3.3 3.4 4.9 4.3 4.7 4.2 2.7 2.5 3.2 2.9 4.9 4.8 4.8 5.8 3.6 3.6 3.6 3.9 10.1 10.1 3.4 3.2 3.5 3.7 1.9 1.7 2.3 2.4 2.6 2.1 1.9 4.8 5.0 4.1 6.4 3.0 2.8 3.6 2.9 2.8 5.1 5.4 3.7 2.7 2.7 3.9 3.9 4.2 4.2 4.3 4.2 4.4 4.3 4.0 5.0 4.3 3.6 4.9 4.4 6.0 3.7 4.7 4.5 5.7 5.8 5.9 7.4 4.8 5.2



Net change, 2000– 2002 2002 2,510 2,510 4,418 4,418 7,750 6,434 505 811 18,139 13,585 2,723 1,831 3,483 226 3,257 14,509 11,431 904 2,174 5,525 796 4,465 264 5,167 3,376 1,526 265 1,591 1,591 12,965 5,514 6,663 788 2,836 1,198 1,638 29,891 23,083 4,315 2,493 3,045 2,123 767 155 8,128 573 1,604 1,551 4,400 802 744 58 5,911 5,911 20,952 20,952 2,681 2,681 4,653 1,853 2,800 110,685 588 4,018 387 6,615 4,861 85,314 1,043 6,787 170 902 6,244 1,494 528 883 2,748 591 –54 –54 (X) (X) 112 139 13 –40 –85 –76 –55 46 57 19 38 –215 –194 –11 –10 21 43 6 –28 148 48 83 17 52 52 66 –56 83 39 141 48 93 –74 –115 79 –38 41 –10 47 4 1 –4 37 –17 –15 20 9 11 21 21 315 315 110 110 119 17 102 2,816 40 181 11 607 60 522 3 986 25 381 –84 17 16 –36 –44 –37



2002 27,710 27,710 58,663 58,663 141,024 127,466 5,118 8,440 322,040 251,444 43,424 27,172 53,205 1,743 51,462 270,129 227,127 14,589 28,413 87,535 9,784 75,338 2,413 82,575 58,626 21,637 2,312 20,459 20,459 264,726 117,293 141,214 6,219 48,277 20,668 27,609 561,896 470,077 63,587 28,232 44,537 33,919 8,652 1,966 153,231 8,054 27,109 27,608 90,460 9,671 9,273 398 103,121 103,121 317,533 317,533 31,423 31,423 65,845 26,139 39,706 1,992,206 6,501 61,786 4,413 82,953 68,266 1,654,636 11,426 90,063 1,076 11,086 92,464 24,594 6,229 9,835 44,759 7,047



Net change, 2000– 2002 –48 –48 (X) (X) –5,111 –4,410 –434 –267 –20,046 –14,645 –3,699 –1,702 –1,864 –279 –1,585 –20,668 –14,736 –2,562 –3,370 –4,695 –194 –4,547 46 1,762 22 1,833 –93 1,919 1,919 7,289 1,873 5,097 319 48 –2,500 2,548 –12,686 –6,563 3,145 –9,268 1,208 249 945 14 –14,897 –691 –6,534 –3,470 –4,202 –39 –217 178 –4,684 –4,684 1,671 1,671 492 492 2,318 1,874 444 24,705 702 910 –1,963 4,305 –892 13,598 –242 4,523 33 3,731 –1,176 –892 1,335 –441 –306 –872



Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . Rockingham County, VA. . . . . . . . . . . . . . . . . . Harrisonburg city, VA . . . . . . . . . . . . . . . . . . . . Hartford-West Hartford-East Hartford, CT . Hartford County, CT . . . . . . . . . . . . . Middlesex County, CT . . . . . . . . . . . . Tolland County, CT . . . . . . . . . . . . . . Hattiesburg, MS. . . . . . . . . . . . . . . . . . Forrest County, MS . . . . . . . . . . . . . . Lamar County, MS . . . . . . . . . . . . . . Perry County, MS . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . . Alexander County, NC . . . . . . . . . . . . Burke County, NC . . . . . . . . . . . . . . . Caldwell County, NC . . . . . . . . . . . . . Catawba County, NC . . . . . . . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . . Liberty County, GA . . . . . . . . . . . . . . Long County, GA . . . . . . . . . . . . . . . Holland-Grand Haven, MI . . . . . . . . . . . Ottawa County, MI . . . . . . . . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . . . . . Honolulu County, HI . . . . . . . . . . . . . Hot Springs, AR. . . . . . . . . . . . . . Garland County, AR . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA Lafourche Parish, LA . . . . . . . . . Terrebonne Parish, LA . . . . . . . . Houston-Sugar Land, Baytown, TX . Austin County, TX . . . . . . . . . . . Brazoria County, TX . . . . . . . . . Chambers County, TX . . . . . . . . Fort Bend County, TX . . . . . . . . Galveston County, TX . . . . . . . . Harris County, TX . . . . . . . . . . . Liberty County, TX . . . . . . . . . . Montgomery County, TX. . . . . . . San Jacinto County, TX . . . . . . . Waller County, TX . . . . . . . . . . . Huntington-Ashland, WV-KY-OH . . . Boyd County, KY . . . . . . . . . . . Greenup County, KY . . . . . . . . . Lawrence County, OH . . . . . . . . Cabell County, WV . . . . . . . . . . Wayne County, WV . . . . . . . . . . See footnotes at end of table. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



255



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 34,183 31,317 34,527 29,485 30,261 19,035 35,727 26,427 19,218 36,963 33,111 27,410 25,822 37,814 25,155 25,511 29,704 27,790 28,404 22,426 26,472 26,472 31,279 31,279 28,056 21,706 29,392 26,892 27,323 18,149 29,186 20,237 29,724 31,220 23,190 22,303 32,870 28,527 24,464 19,223 19,223 33,167 33,167 26,492 28,277 26,690 20,535 23,676 25,159 22,590 28,090 25,418 23,891 23,891 24,355 24,738 21,207 25,755 26,119 24,548 33,084 34,227 25,318 28,196 28,196 35,091 24,888 37,718 29,067 29,660 23,785 35,662 18,761 97.4 89.3 98.4 84.0 86.3 54.3 101.8 75.3 54.8 105.4 94.4 78.1 73.6 107.8 71.7 72.7 84.7 79.2 81.0 63.9 75.5 75.5 89.2 89.2 80.0 61.9 83.8 76.7 77.9 51.7 83.2 57.7 84.7 89.0 66.1 63.6 93.7 81.3 69.7 54.8 54.8 94.5 94.5 75.5 80.6 76.1 58.5 67.5 71.7 64.4 80.1 72.5 68.1 68.1 69.4 70.5 60.4 73.4 74.5 70.0 94.3 97.6 72.2 80.4 80.4 100.0 70.9 107.5 82.9 84.5 67.8 101.7 53.5



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . Limestone County, AL . . . . . . . . . . . . . . . . . . . Madison County, AL . . . . . . . . . . . . . . . . . . . . Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . Bonneville County, ID . . . . . . . . . . . . . . . . . . . Jefferson County, ID . . . . . . . . . . . . . . . . . . . . Indianapolis, IN . . . . . . . . Boone County, IN . . . . . Brown County, IN . . . . . Hamilton County, IN . . . Hancock County, IN . . . Hendricks County, IN. . . Johnson County, IN. . . . Marion County, IN . . . . . Morgan County, IN . . . . Putnam County, IN . . . . Shelby County, IN . . . . . Iowa City, IA . . . . . . . . . . Johnson County, IA . . . . Washington County, IA . Ithaca, NY . . . . . . . . . . . Tompkins County, NY . . Jackson, MI . . . . . . . . . . Jackson County, MI. . . . Jackson, MS . . . . . . . . . . Copiah County, MS . . . . Hinds County, MS . . . . . Madison County, MS . . . Rankin County, MS . . . . Simpson County, MS . . . Jackson, TN . . . . . . . . . . Chester County, TN. . . . Madison County, TN . . . Jacksonville, FL. . . . . . . . Baker County, FL . . . . . Clay County, FL . . . . . . Duval County, FL . . . . . Nassau County, FL . . . . St. Johns County, FL . . . Jacksonville, NC . . . . . . . Onslow County, NC. . . . Janesville, WI . . . . . . . . . Rock County, WI. . . . . . Jefferson City, MO . . . . . . Callaway County, MO . . Cole County, MO . . . . . Moniteau County, MO . . Osage County, MO . . . . Johnson City, TN . . . . . . . Carter County, TN. . . . . Unicoi County, TN. . . . . Washington County, TN . Johnstown, PA . . . . . . . . Cambria County, PA . . . Jonesboro, AR . . . . . . . . Craighead County, AR . . Poinsett County, AR . . . Joplin, MO . . . . . . . . . . . Jasper County, MO . . . . Newton County, MO . . . Kalamazoo-Portage, MI . . Kalamazoo County, MI. . Van Buren County, MI . . Kankakee-Bradley, IL . . . . Kankakee County, IL . . . Kansas City, MO-KS. . . . . Franklin County, KS . . . Johnson County, KS . . . Leavenworth County, KS Linn County, KS . . . . . . Miami County, KS . . . . . Wyandotte County, KS. . Bates County, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192,749 34,733 158,016 56,420 46,357 10,063 867,103 26,166 8,201 119,532 32,870 65,667 68,333 467,380 37,135 17,777 24,042 98,319 84,183 14,136 54,015 54,015 79,260 79,260 260,934 12,592 124,364 42,660 69,264 12,054 53,971 7,549 46,422 608,406 10,479 79,088 414,882 30,889 73,068 55,315 55,315 84,074 84,074 79,696 23,151 41,273 7,729 7,543 95,180 29,111 8,382 57,687 67,642 67,642 55,735 44,262 11,473 84,184 55,909 28,275 172,239 132,171 40,068 51,954 51,954 1,034,715 13,698 283,203 32,792 4,866 15,818 75,427 8,254



Net change, 2000– 2004 8,642 1,420 7,222 5,888 4,837 1,051 46,862 1,773 288 17,699 2,310 7,885 4,755 9,789 1,402 585 376 19,155 16,411 2,744 2,926 2,926 –43 –43 11,922 348 2,013 3,373 5,980 208 –589 –109 –480 20,115 102 5,347 7,284 664 6,718 2,329 2,329 1,261 1,261 2,974 1,243 1,357 238 136 3,865 1,343 52 2,470 1,022 1,022 1,674 1,612 62 2,136 1,579 557 –642 –996 354 –359 –359 35,423 577 21,687 1,681 152 554 1,461 57



2000 184,107 33,313 150,794 50,532 41,520 9,012 820,241 24,393 7,913 101,833 30,560 57,782 63,578 457,591 35,733 17,192 23,666 79,164 67,772 11,392 51,089 51,089 79,303 79,303 249,012 12,244 122,351 39,287 63,284 11,846 54,560 7,658 46,902 588,291 10,377 73,741 407,598 30,225 66,350 52,986 52,986 82,813 82,813 76,722 21,908 39,916 7,491 7,407 91,315 27,768 8,330 55,217 66,620 66,620 54,061 42,650 11,411 82,048 54,330 27,718 172,881 133,167 39,714 52,313 52,313 999,292 13,121 261,516 31,111 4,714 15,264 73,966 8,197



2004 8,829 1,743 7,086 1,953 1,578 375 40,419 983 427 3,727 1,258 2,378 2,813 25,038 1,683 964 1,148 3,146 2,558 588 1,967 1,967 5,987 5,987 13,418 878 7,134 2,025 2,738 643 3,008 428 2,580 29,404 456 3,409 21,528 1,304 2,707 3,047 3,047 4,691 4,691 3,393 1,059 1,627 363 344 5,098 1,698 528 2,872 4,731 4,731 3,135 2,403 732 4,339 2,854 1,485 10,643 7,695 2,948 3,946 3,946 62,048 848 13,963 2,098 370 842 7,008 569



2000 2004 2000 5,908 1,131 4,777 1,744 1,408 336 19,771 493 220 1,821 664 1,093 1,304 12,252 844 478 602 1,600 1,332 268 1,697 1,697 2,706 2,706 11,880 795 6,429 1,700 2,360 596 2,074 317 1,757 19,030 313 2,232 13,524 999 1,962 2,324 2,324 3,433 3,433 2,078 596 992 221 269 4,168 1,352 580 2,236 4,055 4,055 2,212 1,676 536 2,694 1,695 999 5,584 3,985 1,599 2,408 2,408 33,086 500 7,825 1,294 235 517 4,635 286 4.6 5.0 4.5 3.5 3.4 3.7 4.7 3.8 5.2 3.1 3.8 3.6 4.1 5.4 4.5 5.4 4.8 3.2 3.0 4.2 3.6 3.6 7.6 7.6 5.1 7.0 5.7 4.7 4.0 5.3 5.6 5.7 5.6 4.8 4.4 4.3 5.2 4.2 3.7 5.5 5.5 5.6 5.6 4.3 4.6 3.9 4.7 4.6 5.4 5.8 6.3 5.0 7.0 7.0 5.6 5.4 6.4 5.2 5.1 5.3 6.2 5.8 7.4 7.6 7.6 6.0 6.2 4.9 6.4 7.6 5.3 9.3 6.9 3.2 3.4 3.2 3.5 3.4 3.7 2.4 2.0 2.8 1.8 2.2 1.9 2.1 2.7 2.4 2.8 2.5 2.0 2.0 2.4 3.3 3.3 3.4 3.4 4.8 6.5 5.3 4.3 3.7 5.0 3.8 4.1 3.7 3.2 3.0 3.0 3.3 3.3 3.0 4.4 4.4 4.1 4.1 2.7 2.7 2.5 3.0 3.6 4.6 4.9 7.0 4.0 6.1 6.1 4.1 3.9 4.7 3.3 3.1 3.6 3.2 3.0 4.0 4.6 4.6 3.3 3.8 3.0 4.2 5.0 3.4 6.3 3.5



Net change, 2000– 2002 2002 8,505 1,130 7,375 3,116 2,747 369 40,999 1,300 384 5,829 1,316 2,319 2,815 24,042 1,341 707 946 3,392 2,725 667 2,168 2,168 3,452 3,452 12,342 435 6,506 2,119 2,832 450 2,827 250 2,577 30,379 319 3,035 21,863 1,285 3,877 2,552 2,552 3,425 3,425 3,546 673 2,246 347 280 3,762 760 275 2,727 3,546 3,546 2,723 2,295 428 4,248 3,214 1,034 7,347 5,883 1,464 2,320 2,320 50,471 600 16,117 1,113 167 705 3,036 405 197 39 158 166 144 22 649 36 1 509 51 172 182 –346 34 24 –14 17 59 –42 43 43 41 41 295 –23 –195 162 322 29 –38 6 –44 1,761 41 219 949 83 469 –50 –50 65 65 82 –6 58 10 20 12 17 16 –21 –2 –2 58 50 8 167 135 32 –104 –21 –83 31 31 447 17 223 –10 –26 87 –45 15



2002 144,850 15,496 129,354 41,070 38,230 2,840 765,159 13,172 2,225 83,399 14,880 31,091 42,544 538,036 13,630 10,938 15,244 56,848 51,016 5,832 43,706 43,706 51,053 51,053 202,604 5,765 117,742 30,766 42,947 5,384 53,398 3,028 50,370 491,231 5,008 32,846 397,861 12,699 42,817 29,166 29,166 57,417 57,417 52,110 9,643 36,955 2,866 2,646 61,465 9,489 4,070 47,906 49,317 49,317 39,486 35,203 4,283 66,671 51,228 15,443 128,449 111,971 16,478 37,500 37,500 889,834 7,612 286,164 14,425 1,216 6,655 59,201 3,032



Net change, 2000– 2002 770 –1,813 2,583 –28 282 –310 –15,003 431 –46 3,534 745 4,580 2,805 –26,629 –173 –47 –203 –131 –71 –60 1,906 1,906 –3,643 –3,643 –11,042 –242 –17,773 3,235 3,121 617 –3,253 –370 –2,883 11,376 1,184 1,568 3,755 –48 4,917 –11 –11 –3,336 –3,336 –1,701 –1,114 –294 –256 –37 –3,908 –502 337 –3,743 –2,097 –2,097 459 1,011 –552 –4,675 –4,045 –630 566 1,125 –559 –22,239 –22,239 –15,737 –100 3,512 –619 –165 –213 –2,387 –21



See footnotes at end of table.



256



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Kansas City, MO-KS—Con. Caldwell County, MO . . . . . . . Cass County, MO . . . . . . . . . Clay County, MO . . . . . . . . . Clinton County, MO . . . . . . . . Jackson County, MO . . . . . . . Lafayette County, MO . . . . . . Platte County, MO. . . . . . . . . Ray County, MO . . . . . . . . . . Kennewick-Richland-Pasco, WA . Benton County, WA . . . . . . . . Franklin County, WA . . . . . . . Killeen-Temple-Fort Hood, TX . . Bell County, TX . . . . . . . . . . Coryell County, TX . . . . . . . . Lampasas County, TX . . . . . . Kingsport-Bristol-Bristol, TN-VA . Hawkins County, TN . . . . . . . Sullivan County, TN. . . . . . . . Scott County, VA . . . . . . . . . Washington County, VA . . . . . Bristol city, VA . . . . . . . . . . . Kingston, NY. . . . . . . . . . . . . . Ulster County, NY . . . . . . . . . Knoxville, TN . . . . . . . . . . . . . Anderson County, TN . . . . . . Blount County, TN. . . . . . . . . Knox County, TN . . . . . . . . . Loudon County, TN . . . . . . . . Union County, TN . . . . . . . . . Kokomo, IN . . . . . . . . . . . . . . Howard County, IN . . . . . . . . Tipton County, IN . . . . . . . . . La Crosse, WI-MN . . . . . . . . . . Houston County, MN . . . . . . . La Crosse County, WI . . . . . . Lafayette, IN . . . . . . . . . . . . . . Benton County, IN. . . . . . . . . Carroll County, IN . . . . . . . . . Tippecanoe County, IN . . . . . Lafayette, LA . . . . . . . . . . . . . Lafayette Parish, LA . . . . . . . St. Martin Parish, LA . . . . . . . Lake Charles, LA . . . . . . . . . . . Calcasieu Parish, LA . . . . . . . Cameron Parish, LA . . . . . . . Lakeland, FL. . . . . . . . . . . . . . Polk County, FL . . . . . . . . . . Lancaster, PA . . . . . . . . . . . . . Lancaster County, PA . . . . . . Lansing-East Lansing, MI . . . . . Clinton County, MI . . . . . . . . Eaton County, MI . . . . . . . . . Ingham County, MI . . . . . . . . Laredo, TX . . . . . . . . . . . . . . . Webb County, TX . . . . . . . . . Las Cruces, NM . . . . . . . . . . . Dona Ana County, NM . . . . . . Las Vegas-Paradise, NV . . . . . . Clark County, NV . . . . . . . . .



Net change, 2000– 2004



2000



2004



2000 2004 2000



Net change, 2000– 2002 2002



2002



Net change, 2000– 2002



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4,498 47,891 111,283 10,456 349,443 17,314 47,528 12,244 115,089 87,439 27,650 145,987 111,013 25,206 9,768 141,222 25,163 72,974 9,791 25,587 7,707 92,002 92,002 337,030 35,201 58,412 213,244 21,358 8,815 47,452 39,365 8,087 74,632 11,511 63,121 92,621 4,568 10,351 77,702 121,685 99,750 21,935 91,669 87,231 4,438 248,359 248,359 266,749 266,749 251,020 36,753 58,596 155,671 83,598 83,598 82,835 82,835 827,958 827,958 63,455 63,455 46,478 46,478 69,658 69,658 28,692 18,572 10,120 57,087 57,087



16 2,766 3,659 438 295 –300 2,271 109 15,736 11,114 4,622 11,990 9,603 1,251 1,136 1,425 542 –170 112 678 263 3,052 3,052 19,308 1,238 4,205 11,357 1,799 709 –2,954 –2,324 –630 2,113 512 1,601 –1,134 –280 –190 –664 3,297 2,639 658 943 1,028 –85 17,521 17,521 16,177 16,177 2,123 1,014 506 603 12,636 12,636 6,537 6,537 99,671 99,671 5,527 5,527 3,207 3,207 5,521 5,521 434 2 432 1,686 1,686



4,482 45,125 107,624 10,018 349,148 17,614 45,257 12,135 99,353 76,325 23,028 133,997 101,410 23,955 8,632 139,797 24,621 73,144 9,679 24,909 7,444 88,950 88,950 317,722 33,963 54,207 201,887 19,559 8,106 50,406 41,689 8,717 72,519 10,999 61,520 93,755 4,848 10,541 78,366 118,388 97,111 21,277 90,726 86,203 4,523 230,838 230,838 250,572 250,572 248,897 35,739 58,090 155,068 70,962 70,962 76,298 76,298 728,287 728,287 57,928 57,928 43,271 43,271 64,137 64,137 28,258 18,570 9,688 55,401 55,401



260 2,587 5,296 586 23,814 973 2,092 742 7,248 5,161 2,087 8,353 6,198 1,712 443 7,808 1,529 4,054 542 1,214 469 4,417 4,417 13,850 1,711 2,431 8,336 936 436 3,045 2,625 420 3,130 588 2,542 4,312 243 583 3,486 5,669 4,446 1,223 5,134 4,903 231 12,426 12,426 10,560 10,560 14,973 1,959 3,171 9,843 5,700 5,700 5,297 5,297 36,184 36,184 2,622 2,622 2,083 2,083 2,826 2,826 1,558 886 672 2,560 2,560



142 1,186 2,499 283 11,758 537 974 415 5,459 3,796 1,663 5,965 4,326 1,304 335 5,301 1,052 2,754 370 889 236 3,170 3,170 10,754 1,435 1,953 6,343 706 317 1,493 1,270 223 2,400 452 1,948 2,412 135 286 1,991 4,849 3,737 1,112 4,330 4,117 213 9,528 9,528 7,084 7,084 7,184 936 1,641 4,607 4,367 4,367 4,700 4,700 33,822 33,822 1,691 1,691 1,589 1,589 2,026 2,026 1,451 959 492 1,938 1,938



5.8 5.4 4.8 5.6 6.8 5.6 4.4 6.1 6.3 5.9 7.5 5.7 5.6 6.8 4.5 5.5 6.1 5.6 5.5 4.7 6.1 4.8 4.8 4.1 4.9 4.2 3.9 4.4 4.9 6.4 6.7 5.2 4.2 5.1 4.0 4.7 5.3 5.6 4.5 4.7 4.5 5.6 5.6 5.6 5.2 5.0 5.0 4.0 4.0 6.0 5.3 5.4 6.3 6.8 6.8 6.4 6.4 4.4 4.4 4.1 4.1 4.5 4.5 4.1 4.1 5.4 4.8 6.6 4.5 4.5



3.2 2.6 2.3 2.8 3.4 3.0 2.2 3.4 5.5 5.0 7.2 4.5 4.3 5.4 3.9 3.8 4.3 3.8 3.8 3.6 3.2 3.6 3.6 3.4 4.2 3.6 3.1 3.6 3.9 3.0 3.0 2.6 3.3 4.1 3.2 2.6 2.8 2.7 2.5 4.1 3.8 5.2 4.8 4.8 4.7 4.1 4.1 2.8 2.8 2.9 2.6 2.8 3.0 6.2 6.2 6.2 6.2 4.6 4.6 2.9 2.9 3.7 3.7 3.2 3.2 5.1 5.2 5.1 3.5 3.5



182 1,835 4,821 462 17,844 805 1,956 423 4,626 3,451 1,175 5,314 4,244 694 376 6,352 573 3,583 334 1,195 667 4,597 4,597 15,988 1,668 2,233 11,075 814 198 2,349 2,003 346 3,395 453 2,942 3,820 238 418 3,164 7,571 6,855 716 4,458 4,276 182 9,807 9,807 11,605 11,605 10,419 1,209 1,899 7,311 4,332 4,332 3,245 3,245 32,567 32,567 2,662 2,662 2,144 2,144 2,566 2,566 1,610 1,195 415 2,765 2,765



–2 54 132 40 –158 7 96 17 202 152 50 145 171 –31 5 –105 –57 –60 6 31 –25 239 239 –12 –52 59 –99 71 9 59 33 26 70 63 7 –33 –14 9 –28 254 194 60 42 36 6 198 198 165 165 134 40 –88 182 252 252 34 34 2,936 2,936 38 38 –55 –55 –2 –2 –51 –23 –28 –21 –21



959 16,343 81,648 4,105 360,416 7,012 37,436 3,610 65,686 52,763 12,923 85,436 74,137 7,569 3,730 105,396 9,987 62,851 3,409 14,735 14,414 47,759 47,759 280,453 40,515 36,847 190,404 10,641 2,046 41,858 38,178 3,680 60,842 4,120 56,722 67,737 1,861 4,561 61,315 111,033 103,844 7,189 71,833 70,144 1,689 156,908 156,908 214,288 214,288 171,044 12,427 27,098 131,519 55,987 55,987 40,233 40,233 665,118 665,118 36,948 36,948 28,554 28,554 37,629 37,629 19,716 15,750 3,966 45,076 45,076



–45 860 –2,945 672 –15,770 –75 1,670 –111 1,203 2,226 –1,023 –968 –1,140 14 158 –4,372 –2,108 –1,535 159 252 –1,140 2,030 2,030 2,848 951 –1,573 3,206 279 –15 –6,744 –6,631 –113 –205 90 –295 –4,856 –245 –517 –4,094 71 1,328 –1,257 739 926 –187 –4,557 –4,557 –292 –292 –1,765 –1,258 –4,175 3,668 2,771 2,771 3,183 3,183 25,963 25,963 –537 –537 961 961 –1 –1 –964 –798 –166 –790 –790



20,475 22,886 34,117 19,492 35,846 18,993 28,704 20,392 34,480 36,489 26,274 26,077 27,187 18,746 18,895 29,244 26,727 31,799 21,624 24,929 26,064 25,980 25,980 30,745 38,829 32,950 28,951 26,707 18,926 37,747 38,557 29,346 27,509 21,294 27,960 30,101 22,731 24,167 30,766 28,620 29,136 21,168 27,996 27,859 33,659 28,372 28,372 30,538 30,538 32,410 29,312 27,378 33,739 21,194 21,194 21,954 21,954 31,171 31,171 23,125 23,125 23,831 23,831 27,573 27,573 28,181 29,007 24,902 27,916 27,916



58.4 65.2 97.3 55.6 102.2 54.1 81.8 58.1 98.3 104.0 74.9 74.3 77.5 53.4 53.9 83.4 76.2 90.6 61.6 71.1 74.3 74.1 74.1 87.6 110.7 93.9 82.5 76.1 53.9 107.6 109.9 83.7 78.4 60.7 79.7 85.8 64.8 68.9 87.7 81.6 83.1 60.3 79.8 79.4 95.9 80.9 80.9 87.0 87.0 92.4 83.6 78.0 96.2 60.4 60.4 62.6 62.6 88.9 88.9 65.9 65.9 67.9 67.9 78.6 78.6 80.3 82.7 71.0 79.6 79.6



Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . Douglas County, KS . . . . . . . . . . . . . . . . . . . . Lawton, OK . . . . . . . . . . . Comanche County, OK . . Lebanon, PA . . . . . . . . . . . Lebanon County, PA . . . . Lewiston, ID-WA . . . . . . . . Nez Perce County, ID . . . Asotin County, WA . . . . . Lewiston-Auburn, ME . . . . . Androscoggin County, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



257



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 31,459 29,070 25,957 31,344 24,352 40,404 32,357 29,094 29,094 28,616 28,907 21,830 29,794 24,444 26,687 21,599 19,103 31,406 24,246 23,261 20,825 23,388 26,986 27,239 27,941 21,075 32,544 32,544 38,732 38,439 38,439 39,533 39,533 32,014 28,481 27,736 22,340 23,242 23,631 24,351 33,868 24,153 25,356 24,773 29,287 19,257 25,730 24,295 23,035 24,308 29,358 24,620 22,183 27,734 26,614 22,281 31,807 28,126 28,523 18,556 22,958 25,106 24,853 27,485 27,485 33,185 26,180 33,895 30,099 37,944 37,944 29,134 29,134 21,523 21,523 27,149 27,149 89.7 82.9 74.0 89.3 69.4 115.2 92.2 82.9 82.9 81.6 82.4 62.2 84.9 69.7 76.1 61.6 54.5 89.5 69.1 66.3 59.4 66.7 76.9 77.6 79.6 60.1 92.8 92.8 110.4 109.6 109.6 112.7 112.7 91.3 81.2 79.1 63.7 66.3 67.4 69.4 96.5 68.8 72.3 70.6 83.5 54.9 73.3 69.3 65.7 69.3 83.7 70.2 63.2 79.1 75.9 63.5 90.7 80.2 81.3 52.9 65.4 71.6 70.8 78.3 78.3 94.6 74.6 96.6 85.8 108.2 108.2 83.0 83.0 61.4 61.4 77.4 77.4



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Lexington-Fayette, KY . . . . . . . Bourbon County, KY . . . . . . . Clark County, KY . . . . . . . . . Fayette County, KY . . . . . . . . Jessamine County, KY. . . . . . Scott County, KY . . . . . . . . . Woodford County, KY . . . . . . Lima, OH . . . . . . . . . . . . . . . . Allen County, OH . . . . . . . . . Lincoln, NE. . . . . . . . . . . . . . . Lancaster County, NE . . . . . . Seward County, NE. . . . . . . . Little Rock-North Little Rock, AR. Faulkner County, AR . . . . . . . Grant County, AR . . . . . . . . . Lonoke County, AR . . . . . . . . Perry County, AR . . . . . . . . . Pulaski County, AR . . . . . . . . Saline County, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226,237 9,716 16,693 146,473 20,998 19,319 13,038 52,437 52,437 167,097 157,658 9,439 324,531 49,014 8,421 28,529 4,938 188,527 45,102 60,743 5,925 54,818 99,846 59,453 22,208 18,185 43,705 43,705 6,396,271 4,809,764 4,809,764 1,586,507 1,586,507 602,059 52,564 37,204 18,977 14,006 33,923 7,692 351,160 11,741 19,706 24,642 18,794 7,447 4,203 140,654 2,989 137,665 113,280 15,174 6,642 32,461 26,092 2,579 30,332 106,855 71,353 5,985 12,755 12,159 4,603 63,159 63,159 332,612 31,609 286,627 14,376 225,241 225,241 63,344 63,344 254,431 254,431 98,817 98,817



Net change, 2000– 2004 –2,261 –255 –291 –2,746 358 1,018 –345 1,067 1,067 8,358 8,182 176 13,533 3,679 350 2,176 144 4,685 2,499 7,648 712 6,936 7,110 4,274 1,145 1,691 406 406 233,068 128,464 128,464 104,604 104,604 –9,034 –158 –1,013 177 –87 487 –72 –10,677 35 99 626 493 933 123 9,643 10 9,633 205 –85 –60 663 –154 –2 –157 2,693 867 103 941 786 –4 8,079 8,079 22,830 1,709 20,426 695 10,326 10,326 353 353 43,139 43,139 7,004 7,004



2000 228,498 9,971 16,984 149,219 20,640 18,301 13,383 51,370 51,370 158,739 149,476 9,263 310,998 45,335 8,071 26,353 4,794 183,842 42,603 53,095 5,213 47,882 92,736 55,179 21,063 16,494 43,299 43,299 6,163,203 4,681,300 4,681,300 1,481,903 1,481,903 611,093 52,722 38,217 18,800 14,093 33,436 7,764 361,837 11,706 19,607 24,016 18,301 6,514 4,080 131,011 2,979 128,032 113,075 15,259 6,702 31,798 26,246 2,581 30,489 104,162 70,486 5,882 11,814 11,373 4,607 55,080 55,080 309,782 29,900 266,201 13,681 214,915 214,915 62,991 62,991 211,292 211,292 91,813 91,813



2004 9,187 450 821 5,785 856 811 464 3,453 3,453 5,624 5,347 277 16,444 2,399 460 1,310 279 9,931 2,065 2,370 231 2,139 5,978 3,603 1,323 1,052 3,729 3,729 383,333 315,724 315,724 67,609 67,609 30,601 2,638 1,807 1,007 881 1,633 358 18,387 671 980 913 796 315 215 6,451 187 6,264 4,861 673 294 1,163 1,104 119 1,508 5,185 3,624 287 530 497 247 5,559 5,559 11,008 1,451 8,995 562 8,841 8,841 4,564 4,564 23,207 23,207 7,002 7,002



2000 2004 2000 7,012 336 640 4,461 620 580 375 2,247 2,247 3,724 3,507 217 11,250 1,631 318 866 236 6,815 1,384 1,507 167 1,340 4,813 2,979 1,034 800 2,766 2,766 305,863 253,484 253,484 52,379 52,379 21,866 1,807 1,252 601 512 1,091 249 13,432 476 825 717 553 196 155 4,709 137 4,572 2,512 324 166 612 607 64 739 4,307 3,009 232 450 415 201 4,782 4,782 7,658 1,073 6,197 388 5,410 5,410 3,186 3,186 19,418 19,418 5,098 5,098 4.1 4.6 4.9 3.9 4.1 4.2 3.6 6.6 6.6 3.4 3.4 2.9 5.1 4.9 5.5 4.6 5.7 5.3 4.6 3.9 3.9 3.9 6.0 6.1 6.0 5.8 8.5 8.5 6.0 6.6 6.6 4.3 4.3 5.1 5.0 4.9 5.3 6.3 4.8 4.7 5.2 5.7 5.0 3.7 4.2 4.2 5.1 4.6 6.3 4.6 4.3 4.4 4.4 3.6 4.2 4.6 5.0 4.9 5.1 4.8 4.2 4.1 5.4 8.8 8.8 3.3 4.6 3.1 3.9 3.9 3.9 7.2 7.2 9.1 9.1 7.1 7.1 3.1 3.4 3.8 3.0 3.0 3.2 2.8 4.4 4.4 2.3 2.3 2.3 3.6 3.6 3.9 3.3 4.9 3.7 3.2 2.8 3.2 2.8 5.2 5.4 4.9 4.9 6.4 6.4 5.0 5.4 5.4 3.5 3.5 3.6 3.4 3.3 3.2 3.6 3.3 3.2 3.7 4.1 4.2 3.0 3.0 3.0 3.8 3.6 4.6 3.6 2.2 2.1 2.5 1.9 2.3 2.5 2.4 4.1 4.3 3.9 3.8 3.6 4.4 8.7 8.7 2.5 3.6 2.3 2.8 2.5 2.5 5.1 5.1 9.2 9.2 5.6 5.6



Net change, 2000– 2002 2002 11,235 405 787 7,808 935 768 532 2,834 2,834 7,683 7,252 431 16,600 1,925 277 981 113 11,750 1,554 2,682 249 2,433 5,173 3,968 738 467 2,306 2,306 313,622 231,948 231,948 81,674 81,674 29,817 2,547 1,780 691 486 958 210 19,782 308 911 1,096 781 188 79 6,690 119 6,571 5,845 612 249 1,280 1,054 332 2,318 5,341 4,487 94 287 382 91 1,935 1,935 14,854 1,532 12,725 597 10,869 10,869 3,022 3,022 8,782 8,782 5,625 5,625 132 9 23 –82 46 114 22 –5 –5 134 125 9 80 142 5 38 –8 –293 196 81 5 76 94 100 –44 38 –29 –29 8,784 5,666 5,666 3,118 3,118 374 94 59 40 18 34 –39 –50 3 33 101 58 17 6 64 –8 72 35 14 –29 338 86 –153 –221 –54 –102 18 48 –16 –2 70 70 437 90 345 2 –35 –35 4 4 462 462 261 261



2002 200,602 5,517 13,123 139,587 13,538 21,339 7,498 48,423 48,423 131,201 125,814 5,387 274,540 30,245 2,630 9,367 648 214,944 16,706 34,337 1,692 32,645 72,970 60,122 8,846 4,002 30,848 30,848 5,174,665 3,791,362 3,791,362 1,383,303 1,383,303 525,004 40,281 24,123 11,309 5,546 11,322 1,928 393,330 2,570 11,970 9,666 11,482 888 589 95,979 961 95,018 91,244 7,123 2,499 9,494 13,061 4,380 54,687 84,726 77,497 689 1,964 3,696 880 23,607 23,607 254,924 18,952 226,805 9,167 176,136 176,136 49,073 49,073 122,326 122,326 63,461 63,461



Net change, 2000– 2002 –8,705 85 654 –11,596 1,076 1,878 –802 –3,416 –3,416 –998 –572 –426 –6,848 977 –387 512 31 –9,028 1,047 1,451 9 1,442 2,029 2,648 –671 52 –1,666 –1,666 –67,923 –72,509 –72,509 4,586 4,586 –25,833 –1,709 –2,636 2,843 –308 625 –756 –23,060 –452 –458 373 –295 –60 60 1,538 37 1,501 –5,286 –96 –640 874 –987 –1,585 –2,852 –6,530 –6,114 42 –146 123 –435 447 447 4,860 725 5,351 –1,216 –812 –812 –2,714 –2,714 7,471 7,471 1,207 1,207



Logan, UT-ID . . . . . . . . . . . . . . . . . . . . Franklin County, ID . . . . . . . . . . . . . . . Cache County, UT . . . . . . . . . . . . . . . Longview, TX . . . . . . . . . . . . . . . . . . . . Gregg County, TX . . . . . . . . . . . . . . . . Rusk County, TX . . . . . . . . . . . . . . . . Upshur County, TX . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Cowlitz County, WA. . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Los Angeles-Long Beach-Glendale, CA . Los Angeles County, CA . . . . . . . . . . Santa Ana-Anaheim-Irvine, CA . . . . . . . Orange County, CA . . . . . . . . . . . . . Louisville, KY-IN . . . . . . . . . . . . . . . . . . Clark County, IN . . . . . . . . . . . . . . . . . Floyd County, IN. . . . . . . . . . . . . . . . . Harrison County, IN. . . . . . . . . . . . . . . Washington County, IN . . . . . . . . . . . . Bullitt County, KY . . . . . . . . . . . . . . . . Henry County, KY . . . . . . . . . . . . . . . . Jefferson County, KY. . . . . . . . . . . . . . Meade County, KY . . . . . . . . . . . . . . . Nelson County, KY . . . . . . . . . . . . . . . Oldham County, KY. . . . . . . . . . . . . . . Shelby County, KY . . . . . . . . . . . . . . . Spencer County, KY . . . . . . . . . . . . . . Trimble County, KY . . . . . . . . . . . . . . . Lubbock, TX . . . . . . . . . . . . . . . . . . . . . Crosby County, TX . . . . . . . . . . . . . . . Lubbock County, TX . . . . . . . . . . . . . . Lynchburg, VA. . . . . . . . . . . . . . . . . . . . Amherst County, VA . . . . . . . . . . . . . . Appomattox County, VA . . . . . . . . . . . . Bedford County, VA. . . . . . . . . . . . . . . Campbell County, VA. . . . . . . . . . . . . . Bedford city, VA . . . . . . . . . . . . . . . . . Lynchburg city, VA . . . . . . . . . . . . . . . Macon, GA . . . . . . . . . . . . . . . . . . . . . . Bibb County, GA. . . . . . . . . . . . . . . . . Crawford County, GA. . . . . . . . . . . . . . Jones County, GA. . . . . . . . . . . . . . . . Monroe County, GA. . . . . . . . . . . . . . . Twiggs County, GA . . . . . . . . . . . . . . . Madera, CA . . . . . . . . . . . . . . . . . . . . . Madera County, CA. . . . . . . . . . . . . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . Columbia County, WI. . . . . . . . . . . . . . Dane County, WI . . . . . . . . . . . . . . . . Iowa County, WI . . . . . . . . . . . . . . . . . Manchester-Nashua, NH . . . . . . . . . . . . . Hillsborough County, NH . . . . . . . . . . . Mansfield, OH . . . . . . . . . . . . . . . . . . . . Richland County, OH . . . . . . . . . . . . . . McAllen-Edinburg-Mission, TX . . . . . . . . . Hidalgo County, TX . . . . . . . . . . . . . . .



Medford, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . Jackson County, OR . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



258



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 33,498 23,831 26,029 19,935 21,027 22,837 26,900 35,376 24,583 26,008 26,008 33,228 32,370 32,370 33,251 33,251 34,354 34,354 27,497 27,497 30,377 30,377 35,998 36,268 35,297 30,437 36,784 40,197 38,179 35,774 26,838 35,939 43,773 25,786 39,113 33,084 29,151 34,223 27,703 24,918 33,531 25,908 25,908 28,025 28,025 29,587 29,587 26,845 27,414 19,056 34,800 34,800 27,816 22,673 23,318 39,688 28,545 27,011 27,707 22,560 27,717 21,852 29,725 23,205 29,036 29,036 26,628 26,628 30,766 30,766 22,828 22,828 95.5 67.9 74.2 56.8 59.9 65.1 76.7 100.8 70.1 74.1 74.1 94.7 92.3 92.3 94.8 94.8 97.9 97.9 78.4 78.4 86.6 86.6 102.6 103.4 100.6 86.8 104.9 114.6 108.8 102.0 76.5 102.4 124.8 73.5 111.5 94.3 83.1 97.6 79.0 71.0 95.6 73.9 73.9 79.9 79.9 84.3 84.3 76.5 78.1 54.3 99.2 99.2 79.3 64.6 66.5 113.1 81.4 77.0 79.0 64.3 79.0 62.3 84.7 66.1 82.8 82.8 75.9 75.9 87.7 87.7 65.1 65.1



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Memphis, TN-MS-AR . . . . . . . . . . . . . . . Crittenden County, AR . . . . . . . . . . . . . DeSoto County, MS. . . . . . . . . . . . . . . Marshall County, MS . . . . . . . . . . . . . . Tate County, MS . . . . . . . . . . . . . . . . . Tunica County, MS . . . . . . . . . . . . . . . Fayette County, TN . . . . . . . . . . . . . . . Shelby County, TN . . . . . . . . . . . . . . . Tipton County, TN . . . . . . . . . . . . . . . . Merced, CA . . . . . . . . . . . . . . . . . . . . . Merced County, CA . . . . . . . . . . . . . . . Miami-Fort Lauderdale-Miami Beach, FL . Fort Lauderdale-Pompano BeachDeerfield Beach, FL. . . . . . . . . . . . . . Broward County, FL . . . . . . . . . . . . . Miami-Miami Beach-Kendall, FL . . . . . . Miami-Dade County, FL . . . . . . . . . . West Palm Beach-Boca RatonBoynton Beach, FL . . . . . . . . . . . . . . Palm Beach County, FL . . . . . . . . . . Michigan City-La Porte, IN. . . . . . . . . . . . LaPorte County, IN . . . . . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . Midland County, TX. . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . . Milwaukee County, WI . . . . . . . . . . . . . Ozaukee County, WI . . . . . . . . . . . . . . Washington County, WI . . . . . . . . . . . . Waukesha County, WI . . . . . . . . . . . . . Minneapolis-St. Paul-Bloomington, MN-WI . Anoka County, MN . . . . . . . . . . . . . . . Carver County, MN . . . . . . . . . . . . . . . Chisago County, MN . . . . . . . . . . . . . . Dakota County, MN . . . . . . . . . . . . . . . Hennepin County, MN . . . . . . . . . . . . . Isanti County, MN . . . . . . . . . . . . . . . . Ramsey County, MN . . . . . . . . . . . . . . Scott County, MN . . . . . . . . . . . . . . . . Sherburne County, MN . . . . . . . . . . . . Washington County, MN. . . . . . . . . . . . Wright County, MN . . . . . . . . . . . . . . . Pierce County, WI . . . . . . . . . . . . . . . . St. Croix County, WI . . . . . . . . . . . . . . Missoula, MT . . . . . . . . . . . . . . . . . . . . Missoula County, MT . . . . . . . . . . . . . . Mobile, AL . . . . . . . . . . . . . . . . . . . . . . Mobile County, AL. . . . . . . . . . . . . . . . Modesto, CA. . . . . . . . . . . . . . . . . . . . . Stanislaus County, CA . . . . . . . . . . . . . Monroe, LA . . . . . . . . . . . . . . . . . . . . . Ouachita Parish, LA . . . . . . . . . . . . . . Union Parish, LA . . . . . . . . . . . . . . . . Monroe, MI . . . . . . . . . . . . . . . . . . . . . . Monroe County, MI . . . . . . . . . . . . . . . Montgomery, AL . . . . . . . . . . . . . . . . . . Autauga County, AL . . . . . . . . . . . . . . Elmore County, AL . . . . . . . . . . . . . . . Lowndes County, AL . . . . . . . . . . . . . . Montgomery County, AL . . . . . . . . . . . . Morgantown, WV . . . . . . . . . . . . . . . . . . Monongalia County, WV. . . . . . . . . . . . Preston County, WV . . . . . . . . . . . . . . Morristown, TN . . . . . . . . . . . . . . . . . . . Grainger County, TN . . . . . . . . . . . . . . Hamblen County, TN . . . . . . . . . . . . . . Jefferson County, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 597,092 21,960 67,317 15,768 12,000 4,440 15,121 434,521 25,965 98,860 98,860 2,621,674 917,342 917,342 1,107,950 1,107,950 596,382 596,382 52,965 52,965 64,312 64,312 801,566 468,503 47,815 71,313 213,935 1,849,010 191,465 46,458 26,284 230,487 681,440 20,509 289,548 65,619 44,208 126,494 60,469 23,387 42,642 57,504 57,504 180,685 180,685 226,124 226,124 83,395 72,752 10,643 77,483 77,483 167,029 22,950 33,043 5,086 105,950 57,330 43,397 13,933 62,464 9,854 29,345 23,265 56,305 56,305 57,036 57,036 89,530 89,530 118,119 118,119



Net change, 2000– 2004 4,370 69 8,166 448 243 387 1,068 –6,730 719 8,359 8,359 125,014 63,428 63,428 7,671 7,671 53,915 53,915 –1,210 –1,210 6,096 6,096 –4,976 –9,327 171 1,313 2,867 86,535 11,488 5,232 2,949 12,504 12,116 2,496 1,723 11,077 6,174 7,963 7,676 504 4,633 3,322 3,322 –6,657 –6,657 18,076 18,076 3,599 3,110 489 262 262 1,293 928 1,613 –21 –1,227 2,621 2,088 533 519 119 –331 731 4,213 4,213 –1,891 –1,891 3,807 3,807 12,880 12,880



2000 592,722 21,891 59,151 15,320 11,757 4,053 14,053 441,251 25,246 90,501 90,501 2,496,660 853,914 853,914 1,100,279 1,100,279 542,467 542,467 54,175 54,175 58,216 58,216 806,542 477,830 47,644 70,000 211,068 1,762,475 179,977 41,226 23,335 217,983 669,324 18,013 287,825 54,542 38,034 118,531 52,793 22,883 38,009 54,182 54,182 187,342 187,342 208,048 208,048 79,796 69,642 10,154 77,221 77,221 165,736 22,022 31,430 5,107 107,177 54,709 41,309 13,400 61,945 9,735 29,676 22,534 52,092 52,092 58,927 58,927 85,723 85,723 105,239 105,239



2004 35,499 1,539 2,347 1,197 720 381 945 26,745 1,625 10,670 10,670 135,984 43,339 43,339 62,202 62,202 30,443 30,443 3,199 3,199 2,907 2,907 43,290 29,463 1,728 3,176 8,923 82,331 8,668 1,789 1,398 9,370 30,565 1,062 13,722 2,526 2,175 5,073 2,945 984 2,054 2,275 2,275 11,756 11,756 20,606 20,606 4,746 4,060 686 4,879 4,879 9,142 1,057 1,542 458 6,085 2,205 1,484 721 3,652 597 1,633 1,422 3,855 3,855 3,397 3,397 7,062 7,062 6,694 6,694



2000 2004 2000 22,606 897 1,477 662 442 211 643 17,324 950 8,699 8,699 110,319 31,084 31,084 56,427 56,427 22,808 22,808 1,795 1,795 2,446 2,446 29,081 20,307 1,179 1,936 5,659 48,831 5,007 1,019 870 5,443 18,545 626 8,481 1,455 1,173 3,001 1,718 583 910 2,219 2,219 8,273 8,273 16,196 16,196 3,648 3,104 544 2,460 2,460 6,238 796 1,115 316 4,011 2,562 1,811 751 2,633 447 1,203 983 3,044 3,044 1,954 1,954 3,511 3,511 3,665 3,665 5.9 7.0 3.5 7.6 6.0 8.6 6.2 6.2 6.3 10.8 10.8 5.2 4.7 4.7 5.6 5.6 5.1 5.1 6.0 6.0 4.5 4.5 5.4 6.3 3.6 4.5 4.2 4.5 4.5 3.9 5.3 4.1 4.5 5.2 4.7 3.8 4.9 4.0 4.9 4.2 4.8 4.0 4.0 6.5 6.5 9.1 9.1 5.7 5.6 6.4 6.3 6.3 5.5 4.6 4.7 9.0 5.7 3.8 3.4 5.2 5.8 6.1 5.6 6.1 6.8 6.8 6.0 6.0 7.9 7.9 5.7 5.7 3.8 4.1 2.5 4.3 3.8 5.2 4.6 3.9 3.8 9.6 9.6 4.4 3.6 3.6 5.1 5.1 4.2 4.2 3.3 3.3 4.2 4.2 3.6 4.2 2.5 2.8 2.7 2.8 2.8 2.5 3.7 2.5 2.8 3.5 2.9 2.7 3.1 2.5 3.3 2.5 2.4 4.1 4.1 4.4 4.4 7.8 7.8 4.6 4.5 5.4 3.2 3.2 3.8 3.6 3.5 6.2 3.7 4.7 4.4 5.6 4.3 4.6 4.1 4.4 5.8 5.8 3.3 3.3 4.1 4.1 3.5 3.5



Net change, 2000– 2002 2002 26,253 974 1,966 438 408 218 431 21,096 722 2,989 2,989 160,867 52,744 52,744 69,345 69,345 38,778 38,778 2,573 2,573 3,982 3,982 39,731 21,153 2,751 3,248 12,579 87,843 7,088 1,971 1,153 9,299 39,020 774 13,940 2,632 1,585 4,959 2,688 839 1,895 3,760 3,760 9,153 9,153 8,668 8,668 4,482 4,150 332 2,574 2,574 7,965 833 1,052 148 5,932 2,567 1,970 597 2,282 234 1,385 663 3,350 3,350 2,653 2,653 3,663 3,663 7,409 7,409 –109 26 125 3 –6 19 –15 –247 –14 30 30 7,520 2,416 2,416 2,836 2,836 2,268 2,268 –62 –62 –56 –56 –139 –162 –131 144 10 3,311 467 221 54 696 –117 24 239 420 273 457 322 43 212 137 137 –78 –78 411 411 42 46 –4 88 88 –76 64 –39 –2 –99 –53 –25 –28 –17 –12 –19 14 93 93 –45 –45 76 76 222 222



2002 528,944 14,649 31,802 6,881 4,756 17,423 4,333 440,078 9,022 39,777 39,777 1,900,015 621,950 621,950 820,215 820,215 457,850 457,850 36,693 36,693 46,328 46,328 759,715 458,394 36,177 48,292 216,852 1,591,041 102,652 29,663 11,062 146,344 823,307 8,005 299,412 32,709 15,410 63,330 27,477 6,840 24,830 41,975 41,975 153,632 153,632 131,702 131,702 64,863 60,453 4,410 38,679 38,679 128,173 9,962 11,445 2,233 104,533 36,985 31,984 5,001 42,119 2,333 29,635 10,151 34,944 34,944 45,502 45,502 54,471 54,471 87,396 87,396



Net change, 2000– 2002 –40,419 –1,137 760 –291 –820 –1,144 121 –37,221 –687 231 231 –22,426 2,549 2,549 –34,174 –34,174 9,199 9,199 –3,584 –3,584 328 328 –30,847 –22,178 –1,181 951 –8,439 –38,498 1,412 2,116 393 –7,773 –42,061 680 –5,732 1,654 1,037 5,321 1,810 5 2,640 658 658 –2,809 –2,809 11,069 11,069 –6,093 –5,356 –737 –876 –876 –7,781 847 2,073 82 –10,783 1,401 1,861 –460 –3,814 –577 –2,752 –485 –713 –713 –4,961 –4,961 –2,993 –2,993 1,106 1,106



Mount Vernon-Anacortes, WA . . . . . . . . . . . Skagit County, WA . . . . . . . . . . . . . . . . . Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . Delaware County, IN . . . . . . . . . . . . . . . . Muskegon-Norton Shores, MI. . . . . . . . . . . . Muskegon County, MI . . . . . . . . . . . . . . . Myrtle Beach-Conway-North Myrtle Beach, SC Horry County, SC . . . . . . . . . . . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



259



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 35,647 35,647 30,380 30,380 34,015 21,631 24,314 35,059 26,235 20,263 21,047 24,513 33,979 26,549 27,430 18,317 37,408 34,085 37,425 37,425 30,339 29,446 31,217 38,693 27,264 42,810 32,589 24,977 50,172 42,415 43,389 37,529 29,389 55,443 38,415 38,973 37,858 47,148 42,213 43,985 58,065 29,468 44,103 22,267 55,089 45,957 46,364 35,921 33,419 31,961 75,350 33,824 35,815 31,086 35,867 47,804 31,626 31,626 36,453 36,453 24,745 24,745 30,234 30,234 27,849 27,849 26,512 26,149 27,848 26,844 28,080 22,716 23,527 23,560 20,381 19,381 21,085 29,560 101.6 101.6 86.6 86.6 97.0 61.7 69.3 99.9 74.8 57.8 60.0 69.9 96.9 75.7 78.2 52.2 106.6 97.2 106.7 106.7 86.5 83.9 89.0 110.3 77.7 122.0 92.9 71.2 143.0 120.9 123.7 107.0 83.8 158.0 109.5 111.1 107.9 134.4 120.3 125.4 165.5 84.0 125.7 63.5 157.0 131.0 132.2 102.4 95.3 91.1 214.8 96.4 102.1 88.6 102.2 136.3 90.1 90.1 103.9 103.9 70.5 70.5 86.2 86.2 79.4 79.4 75.6 74.5 79.4 76.5 80.0 64.8 67.1 67.2 58.1 55.2 60.1 84.3



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Napa, CA . . . . . . . . . . . . . . . . . . . . Napa County, CA . . . . . . . . . . . . . Naples-Marco Island, FL . . . . . . . . . . Collier County, FL . . . . . . . . . . . . . Nashville-Davidson—Murfreesboro, TN Cannon County, TN. . . . . . . . . . . . Cheatham County, TN . . . . . . . . . . Davidson County, TN. . . . . . . . . . . Dickson County, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,272 72,272 136,834 136,834 732,403 6,410 20,024 305,870 22,710 10,128 10,390 30,941 111,353 9,090 73,459 3,603 75,936 52,489 429,670 429,670 613,148 225,432 200,185 11,196 30,936 23,748 20,220 101,431 9,092,696 1,158,703 415,094 325,295 246,341 171,973 1,460,015 689,777 770,238 1,075,964 366,807 70,485 265,365 82,619 266,408 24,280 5,398,014 464,740 290,976 235,749 503,926 1,051,732 873,482 55,185 1,065,668 225,327 150,724 480,505 78,577 78,577 143,277 143,277 116,911 116,911 57,942 57,942 61,646 61,646 237,670 128,663 3,599 105,408 576,297 49,489 118,393 23,074 15,136 17,850 14,370 337,985



Net change, 2000– 2004 5,612 5,612 20,876 20,876 17,091 18 417 –4,842 475 288 150 1,222 8,300 144 2,712 36 5,680 2,491 15,370 15,370 –12,170 –6,053 –10,338 200 –1,210 –124 254 5,101 165,555 42,143 13,955 7,300 14,364 6,524 42,324 9,978 32,346 15,468 845 2,551 4,147 3,091 1,739 3,095 65,620 –4,375 –6,715 –446 17,644 9,647 18,122 2,604 1,904 8,276 5,026 13,933 –6,018 –6,018 11,520 11,520 7,839 7,839 2,445 2,445 5,066 5,066 15,113 9,351 207 5,555 24,293 2,920 7,033 1,099 260 861 535 11,585



2000 66,660 66,660 115,958 115,958 715,312 6,392 19,607 310,712 22,235 9,840 10,240 29,719 103,053 8,946 70,747 3,567 70,256 49,998 414,300 414,300 625,318 231,485 210,523 10,996 32,146 23,872 19,966 96,330 8,927,141 1,116,560 401,139 317,995 231,977 165,449 1,417,691 679,799 737,892 1,060,496 365,962 67,934 261,218 79,528 264,669 21,185 5,332,394 469,115 297,691 236,195 486,282 1,042,085 855,360 52,581 1,063,764 217,051 145,698 466,572 84,595 84,595 131,757 131,757 109,072 109,072 55,497 55,497 56,580 56,580 222,557 119,312 3,392 99,853 552,004 46,569 111,360 21,975 14,876 16,989 13,835 326,400



2004 3,311 3,311 5,511 5,511 31,375 286 859 13,594 1,119 590 549 1,408 4,316 585 3,092 199 2,527 2,251 22,384 22,384 27,983 9,608 10,459 529 1,471 1,063 1,202 3,651 514,588 51,198 18,530 14,307 12,117 6,244 67,062 31,227 35,835 51,503 21,710 2,276 9,255 3,389 13,475 1,398 344,825 19,289 17,721 14,374 45,908 80,569 54,429 2,165 67,997 14,209 6,700 21,464 6,130 6,130 6,360 6,360 5,357 5,357 4,003 4,003 3,702 3,702 12,592 6,257 175 6,160 25,560 1,919 4,310 1,026 742 689 619 16,255



2000 2004 2000 2,356 2,356 4,312 4,312 22,843 230 551 9,950 811 410 389 1,070 3,202 393 2,322 124 1,784 1,607 10,694 10,694 29,204 9,904 10,688 596 1,633 1,239 1,264 3,880 397,153 36,370 13,341 10,186 8,583 4,260 47,918 22,607 25,311 38,398 16,465 1,586 6,926 2,347 10,268 806 274,467 14,775 14,349 10,807 34,825 66,541 43,453 1,524 56,605 11,069 4,777 15,742 3,105 3,105 3,070 3,070 4,408 4,408 3,532 3,532 3,059 3,059 8,119 3,742 117 4,260 15,120 1,115 2,597 650 443 432 358 9,525 4.6 4.6 4.0 4.0 4.3 4.5 4.3 4.4 4.9 5.8 5.3 4.6 3.9 6.4 4.2 5.5 3.3 4.3 5.2 5.2 4.6 4.3 5.2 4.7 4.8 4.5 5.9 3.6 5.7 4.4 4.5 4.4 4.9 3.6 4.6 4.5 4.7 4.8 5.9 3.2 3.5 4.1 5.1 5.8 6.4 4.2 6.1 6.1 9.1 7.7 6.2 3.9 6.4 6.3 4.4 4.5 7.8 7.8 4.4 4.4 4.6 4.6 6.9 6.9 6.0 6.0 5.3 4.9 4.9 5.8 4.4 3.9 3.6 4.4 4.9 3.9 4.3 4.8 3.5 3.5 3.7 3.7 3.2 3.6 2.8 3.2 3.6 4.2 3.8 3.6 3.1 4.4 3.3 3.5 2.5 3.2 2.6 2.6 4.7 4.3 5.1 5.4 5.1 5.2 6.3 4.0 4.4 3.3 3.3 3.2 3.7 2.6 3.4 3.3 3.4 3.6 4.5 2.3 2.7 3.0 3.9 3.8 5.1 3.1 4.8 4.6 7.2 6.4 5.1 2.9 5.3 5.1 3.3 3.4 3.7 3.7 2.3 2.3 4.0 4.0 6.4 6.4 5.4 5.4 3.6 3.1 3.4 4.3 2.7 2.4 2.3 3.0 3.0 2.5 2.6 2.9



Net change, 2000– 2002 2002 3,963 3,963 9,201 9,201 34,926 147 532 18,156 893 326 323 887 3,658 308 2,727 118 4,670 2,181 20,705 20,705 31,599 12,655 10,516 742 1,190 903 643 4,950 521,372 61,549 21,217 18,977 11,691 9,664 92,319 46,787 45,532 60,580 20,183 4,028 17,395 3,621 14,584 769 306,924 33,200 13,559 12,160 15,061 40,302 103,698 2,812 38,612 7,677 8,692 31,151 4,065 4,065 5,891 5,891 5,794 5,794 4,158 4,158 3,140 3,140 9,722 5,053 171 4,498 30,202 1,734 4,486 909 522 599 624 21,328 216 216 726 726 343 –21 8 –444 7 19 15 –77 208 2 182 –2 308 138 –70 –70 71 –187 –103 9 –1 21 17 315 6,313 1,512 619 301 709 –117 1,653 –414 2,067 339 426 126 –166 78 –175 50 2,809 25 295 273 966 2,147 –4,083 188 2,303 214 100 381 74 74 162 162 311 311 138 138 129 129 689 447 22 220 467 32 216 –19 16 72 51 99



2002 52,547 52,547 97,794 97,794 637,295 1,383 4,209 379,303 13,144 2,624 3,421 12,363 70,658 4,765 36,831 1,029 75,659 31,906 333,360 333,360 525,160 209,974 207,852 10,558 13,873 18,080 10,767 54,056 7,470,229 893,901 384,967 219,153 118,189 171,592 1,073,035 536,245 536,790 945,448 334,345 46,503 294,195 31,204 233,029 6,172 4,557,845 465,483 232,153 169,077 209,469 435,948 1,991,801 20,538 468,585 85,676 100,815 378,300 61,007 61,007 110,111 110,111 74,105 74,105 25,665 25,665 41,306 41,306 126,871 62,262 1,169 63,440 437,342 17,325 54,756 10,209 4,707 5,028 5,041 340,276



Net change, 2000– 2002 3,021 3,021 5,570 5,570 –12,451 31 –2,501 –19,244 –260 286 –654 –1,535 –1,036 –160 1,754 –204 5,747 5,325 –5,568 –5,568 –6,385 –6,808 –673 –1,027 –56 371 –466 2,274 –97,818 916 –5,100 3,857 6,317 –4,158 –12,115 –26,105 13,990 4,321 7,399 3,944 –8,112 680 –317 727 –90,940 –3,692 14,294 –936 3,097 4,156 –89,074 1,441 –7,085 1,003 295 –14,439 508 508 4,341 4,341 970 970 –280 –280 2,681 2,681 –6,499 271 108 –6,878 155 –1,713 7,091 –468 –317 156 –11 –4,583



Hickman County, TN . . . . . . . . . . . . . . . . . Macon County, TN . . . . . . . . . . . . . . . . . . Robertson County, TN . . . . . . . . . . . . . . . . Rutherford County, TN . . . . . . . . . . . . . . . . Smith County, TN . . . . . . . . . . . . . . . . . . . Sumner County, TN. . . . . . . . . . . . . . . . . . Trousdale County, TN . . . . . . . . . . . . . . . . Williamson County, TN. . . . . . . . . . . . . . . . Wilson County, TN . . . . . . . . . . . . . . . . . . New Haven-Milford, CT. . . . . . . . . . . . . . . . . New Haven County, CT . . . . . . . . . . . . . . . New Orleans-Metairie-Kenner, LA . . . . . . . . . . Jefferson Parish, LA . . . . . . . . . . . . . . . . . Orleans Parish, LA . . . . . . . . . . . . . . . . . . Plaquemines Parish, LA . . . . . . . . . . . . . . . St. Bernard Parish, LA . . . . . . . . . . . . . . . . St. Charles Parish, LA . . . . . . . . . . . . . . . . St. John the Baptist Parish, LA . . . . . . . . . . St. Tammany Parish, LA. . . . . . . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA. . . . . . . . . . . . . . . . . . . . . . . . . Edison, NJ. . . . . . . . . . . . . . . . . . . . . . . . Middlesex County, NJ . . . . . . . . . . . . . . . Monmouth County, NJ . . . . . . . . . . . . . . Ocean County, NJ . . . . . . . . . . . . . . . . . Somerset County, NJ . . . . . . . . . . . . . . . Nassau-Suffolk, NY . . . . . . . . . . . . . . . . . . Nassau County, NY . . . . . . . . . . . . . . . . Suffolk County, NY. . . . . . . . . . . . . . . . . Newark-Union, NJ-PA . . . . . . . . . . . . . . . . Essex County, NJ . . . . . . . . . . . . . . . . . Hunterdon County, NJ . . . . . . . . . . . . . . Morris County, NJ . . . . . . . . . . . . . . . . . Sussex County, NJ. . . . . . . . . . . . . . . . . Union County, NJ. . . . . . . . . . . . . . . . . . Pike County, PA . . . . . . . . . . . . . . . . . . New York-White Plains-Wayne, NY-NJ . . . . . Bergen County, NJ. . . . . . . . . . . . . . . . . Hudson County, NJ . . . . . . . . . . . . . . . . Passaic County, NJ . . . . . . . . . . . . . . . . Bronx County, NY . . . . . . . . . . . . . . . . . Kings County, NY . . . . . . . . . . . . . . . . . New York County, NY . . . . . . . . . . . . . . . Putnam County, NY . . . . . . . . . . . . . . . . Queens County, NY . . . . . . . . . . . . . . . . Richmond County, NY . . . . . . . . . . . . . . Rockland County, NY . . . . . . . . . . . . . . . Westchester County, NY . . . . . . . . . . . . . Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . Berrien County, MI . . . . . . . . . . . . . . . . . . Norwich-New London, CT . . . . . . . . . . . . . . . New London County, CT . . . . . . . . . . . . . . Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . Marion County, FL . . . . . . . . . . . . . . . . . . Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . Cape May County, NJ . . . . . . . . . . . . . . . . Odessa, TX . . . . . . . . . Ector County, TX . . . . Ogden-Clearfield, UT . . . Davis County, UT . . . . Morgan County, UT . . . Weber County, UT . . . Oklahoma City, OK . . . . Canadian County, OK . Cleveland County, OK . Grady County, OK. . . . Lincoln County, OK . . . Logan County, OK . . . McClain County, OK . . Oklahoma County, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



260



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 28,824 28,824 32,629 21,065 24,765 24,331 23,668 34,493 27,974 22,456 29,016 30,735 24,457 31,300 23,161 33,601 35,111 35,111 26,920 25,646 41,315 22,859 36,690 36,690 31,764 31,764 24,092 24,092 26,857 27,284 35,842 15,476 26,281 28,795 21,626 29,301 25,357 25,947 22,117 32,226 24,509 34,070 21,753 29,936 25,080 39,379 34,525 36,631 33,951 31,366 40,295 33,567 45,590 39,423 43,314 38,978 40,876 41,817 30,324 38,474 33,323 33,531 23,419 25,231 19,003 25,577 22,679 32,917 35,451 23,668 27,697 29,616 22,198 30,351 28,508 30,281 30,281 82.2 82.2 93.0 60.0 70.6 69.4 67.5 98.3 79.7 64.0 82.7 87.6 69.7 89.2 66.0 95.8 100.1 100.1 76.7 73.1 117.8 65.2 104.6 104.6 90.5 90.5 68.7 68.7 76.6 77.8 102.2 44.1 74.9 82.1 61.6 83.5 72.3 74.0 63.0 91.9 69.9 97.1 62.0 85.3 71.5 112.3 98.4 104.4 96.8 89.4 114.9 95.7 130.0 112.4 123.5 111.1 116.5 119.2 86.4 109.7 95.0 95.6 66.8 71.9 54.2 72.9 64.6 93.8 101.1 67.5 79.0 84.4 63.3 86.5 81.3 86.3 86.3



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Olympia, WA. . . . . . . . . . . . Thurston County, WA. . . . . Omaha-Council Bluffs, NE-IA . Harrison County, IA . . . . . . Mills County, IA . . . . . . . . Pottawattamie County, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121,240 121,240 442,019 8,017 8,007 48,228 14,203 269,238 71,606 11,242 11,478 960,639 105,989 528,933 104,733 220,984 92,788 92,788 54,729 46,055 4,068 4,606 416,060 416,060 249,982 249,982 78,426 78,426 80,350 33,086 3,279 2,477 41,508 69,778 8,581 61,197 196,364 134,347 62,017 183,606 6,783 89,336 2,775 65,899 18,813 2,916,970 644,950 236,864 263,725 144,361 1,925,827 340,117 248,735 281,514 423,280 632,181 346,193 267,682 47,447 31,064 1,851,316 1,771,778 79,538 46,132 4,119 36,820 5,193 1,217,830 644,892 33,850 90,433 94,712 65,927 101,783 186,233 72,596 72,596



Net change, 2000– 2004 12,632 12,632 14,626 –126 55 –198 540 8,623 5,133 87 512 67,015 12,853 30,123 15,309 8,730 2,913 2,913 –1,053 –776 –118 –159 23,103 23,103 18,309 18,309 6,558 6,558 1,068 1,901 –47 –87 –699 –2,485 137 –2,622 9,226 2,112 7,114 –3,244 –204 –1,804 –109 –1,214 87 70,451 34,507 15,486 9,488 9,533 39,871 11,036 12,930 4,449 14,450 –2,994 –3,927 –5,070 1,621 –478 185,661 175,727 9,934 1,388 228 988 172 26,554 9,042 722 1,613 5,653 1,414 3,436 4,674 2,534 2,534



2000 108,608 108,608 427,393 8,143 7,952 48,426 13,663 260,615 66,473 11,155 10,966 893,624 93,136 498,810 89,424 212,254 89,875 89,875 55,782 46,831 4,186 4,765 392,957 392,957 231,673 231,673 71,868 71,868 79,282 31,185 3,326 2,564 42,207 72,263 8,444 63,819 187,138 132,235 54,903 186,850 6,987 91,140 2,884 67,113 18,726 2,846,519 610,443 221,378 254,237 134,828 1,885,956 329,081 235,805 277,065 408,830 635,175 350,120 272,752 45,826 31,542 1,665,655 1,596,051 69,604 44,744 3,891 35,832 5,021 1,191,276 635,850 33,128 88,820 89,059 64,513 98,347 181,559 70,062 70,062



2004 6,930 6,930 19,056 439 361 2,642 573 11,947 2,327 407 360 43,685 4,763 24,402 4,986 9,534 4,203 4,203 2,826 2,314 224 288 22,259 22,259 11,092 11,092 3,599 3,599 4,716 2,081 199 175 2,261 4,326 763 3,563 9,266 6,624 2,642 10,529 347 5,400 198 3,726 858 151,909 31,003 9,908 14,118 6,977 105,562 15,912 9,424 14,516 18,076 47,634 15,344 11,680 2,038 1,626 82,196 77,565 4,631 3,612 277 2,927 408 70,287 34,811 2,428 5,328 5,312 5,165 5,969 11,274 3,322 3,322



2000 2004 2000 4,994 4,994 11,840 226 165 1,184 378 7,802 1,508 313 264 27,973 3,341 15,274 2,942 6,416 2,448 2,448 2,494 2,032 214 248 17,803 17,803 8,414 8,414 3,335 3,335 3,994 1,702 192 179 1,921 4,464 665 3,799 7,437 5,334 2,103 7,953 290 4,108 173 2,744 638 110,568 21,609 6,872 9,860 4,877 77,356 11,281 7,206 10,449 12,970 35,450 11,603 8,777 1,609 1,217 55,961 52,736 3,225 2,550 191 2,054 305 51,615 25,715 1,882 3,801 3,633 3,658 4,512 8,414 1,990 1,990 5.7 5.7 4.3 5.5 4.5 5.5 4.0 4.4 3.2 3.6 3.1 4.5 4.5 4.6 4.8 4.3 4.5 4.5 5.2 5.0 5.5 6.3 5.3 5.3 4.4 4.4 4.6 4.6 5.9 6.3 6.1 7.1 5.4 6.2 8.9 5.8 4.7 4.9 4.3 5.7 5.1 6.0 7.1 5.7 4.6 5.2 4.8 4.2 5.4 4.8 5.5 4.7 3.8 5.2 4.3 7.5 4.4 4.4 4.3 5.2 4.4 4.4 5.8 7.8 6.7 7.9 7.9 5.8 5.4 7.2 5.9 5.6 7.8 5.9 6.1 4.6 4.6 4.6 4.6 2.8 2.8 2.1 2.4 2.8 3.0 2.3 2.8 2.4 3.1 3.6 3.1 3.3 3.0 2.7 2.7 4.5 4.3 5.1 5.2 4.5 4.5 3.6 3.6 4.6 4.6 5.0 5.5 5.8 7.0 4.6 6.2 7.9 6.0 4.0 4.0 3.8 4.3 4.2 4.5 6.0 4.1 3.4 3.9 3.5 3.1 3.9 3.6 4.1 3.4 3.1 3.8 3.2 5.6 3.3 3.2 3.5 3.9 3.4 3.3 4.6 5.7 4.9 5.7 6.1 4.3 4.0 5.7 4.3 4.1 5.7 4.6 4.6 2.8 2.8



Net change, 2000– 2002 2002 5,250 5,250 20,848 351 270 1,932 520 14,252 2,558 467 498 47,229 4,910 27,335 3,787 11,197 3,685 3,685 2,696 2,387 137 172 17,949 17,949 11,878 11,878 4,252 4,252 4,045 1,569 123 67 2,286 2,615 306 2,309 8,818 6,740 2,078 8,835 278 4,802 137 2,877 741 144,549 28,882 10,518 12,598 5,766 96,179 18,231 13,058 13,222 25,663 26,005 19,488 16,468 1,691 1,329 77,539 75,292 2,247 1,891 101 1,630 160 60,828 34,733 1,458 3,465 4,344 2,881 5,025 8,922 4,310 4,310 200 200 424 –15 30 23 1 94 262 11 18 2,300 294 944 439 623 –33 –33 –21 –22 8 –7 743 743 518 518 44 44 –60 –5 –13 –7 –35 –66 2 –68 289 157 132 4 –19 –40 5 43 15 2,011 339 200 17 122 1,316 433 881 –84 –137 223 356 277 47 32 3,484 3,278 206 17 –11 28 46 –118 –32 –12 90 92 120 –94 –73 –73



2002 55,393 55,393 382,328 2,456 2,886 31,537 3,644 298,931 33,852 3,306 5,716 793,083 55,055 548,294 48,679 141,055 78,151 78,151 43,823 38,812 3,781 1,230 251,825 251,825 167,108 167,108 55,142 55,142 61,672 22,704 1,738 359 36,871 44,471 2,934 41,537 126,005 106,609 19,396 156,960 2,932 102,436 862 42,279 8,451 2,497,789 429,769 170,813 177,348 81,608 1,738,700 243,624 205,120 210,264 497,803 581,889 329,320 288,744 21,410 19,166 1,390,433 1,361,929 28,504 28,224 753 25,813 1,658 1,055,581 687,285 15,732 48,079 62,886 34,761 79,981 126,857 55,974 55,974



Net change, 2000– 2002 2,424 2,424 835 –786 185 2,468 –355 –6,829 6,319 –5 –162 –21,508 571 –26,639 610 3,950 –3,645 –3,645 –1,961 –2,443 714 –232 13,823 13,823 9,410 9,410 1,210 1,210 –896 –551 –73 53 –325 –1,115 –13 –1,102 1,607 15 1,592 –6,536 34 –5,866 –144 –304 –256 –18,266 –5,780 –3,077 –6,535 3,832 –19,825 –3,948 14,968 –6,814 589 –24,620 7,339 6,613 581 145 11,053 7,680 3,373 –2,803 –37 –2,747 –19 –1,972 –3,942 –934 –1,505 –471 731 5,711 –1,562 –2,961 –2,961



Cass County, NE . . . . . . . . . . . . Douglas County, NE . . . . . . . . . . Sarpy County, NE . . . . . . . . . . . . Saunders County, NE . . . . . . . . . Washington County, NE . . . . . . . . Orlando - Kissimee, FL . . . . . . . . . . Lake County, FL . . . . . . . . . . . . . Orange County, FL . . . . . . . . . . . Osceola County, FL. . . . . . . . . . . Seminole County, FL . . . . . . . . . . Oshkosh-Neenah, WI . . . . . . . . . . . Winnebago County, WI . . . . . . . . Owensboro, KY . . . . . . . . . . . . . . . Daviess County, KY . . . . . . . . . . Hancock County, KY . . . . . . . . . . McLean County, KY . . . . . . . . . . Oxnard-Thousand Oaks-Ventura, CA. Ventura County, CA. . . . . . . . . . . Palm Bay-Melbourne-Titusville, FL . . Brevard County, FL . . . . . . . . . . . Panama City-Lynn Haven, FL . . . . . Bay County, FL . . . . . . . . . . . . . Parkersburg-Marietta-Vienna, WV-OH Washington County, OH . . . . . . . . Pleasants County, WV . . . . . . . . . Wirt County, WV . . . . . . . . . . . . . Wood County, WV . . . . . . . . . . . Pascagoula, MS . . . . . . . . . . . . . . George County, MS. . . . . . . . . . . Jackson County, MS . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Escambia County, FL . . . . . . . . . Santa Rosa County, FL . . . . . . . . Peoria, IL . . . . . . . . . . . . . . . . . . . Marshall County, IL . . . . . . . . . . . Peoria County, IL . . . . . . . . . . . . Stark County, IL . . . . . . . . . . . . . Tazewell County, IL . . . . . . . . . . . Woodford County, IL . . . . . . . . . . Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . . . . . . . . . Camden, NJ . . . . . . . . . . . . . . . Burlington County, NJ . . . . . . . . Camden County, NJ . . . . . . . . . Gloucester County, NJ . . . . . . . Philadelphia, PA . . . . . . . . . . . . . Bucks County, PA . . . . . . . . . . Chester County, PA . . . . . . . . . Delaware County, PA . . . . . . . . Montgomery County, PA . . . . . . Philadelphia County, PA . . . . . . Wilmington, DE-MD-NJ . . . . . . . . New Castle County, DE . . . . . . Cecil County, MD. . . . . . . . . . . Salem County, NJ . . . . . . . . . . Phoenix-Mesa-Scottsdale, AZ . . . . . Maricopa County, AZ . . . . . . . . . . Pinal County, AZ. . . . . . . . . . . . . Pine Bluff, AR . . . . . . . . . . . . . . . . Cleveland County, AR . . . . . . . . . Jefferson County, AR. . . . . . . . . . Lincoln County, AR . . . . . . . . . . . Pittsburgh, PA . . . . . . . . . . . . . . . . Allegheny County, PA . . . . . . . . . Armstrong County, PA . . . . . . . . . Beaver County, PA . . . . . . . . . . . Butler County, PA . . . . . . . . . . . . Fayette County, PA . . . . . . . . . . . Washington County, PA . . . . . . . . Westmoreland County, PA . . . . . . Pittsfield, MA. . . . . . . . . . . . . . . . . Berkshire County, MA . . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



261



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 24,718 24,877 22,512 32,777 34,018 36,128 28,215 36,473 34,221 33,046 36,055 41,631 27,417 32,163 26,331 27,243 28,125 26,288 32,502 35,779 29,163 23,669 23,669 32,027 30,572 (D) 31,550 31,132 33,663 29,804 26,324 23,266 26,365 25,934 25,934 24,818 24,818 33,256 33,256 33,646 26,450 25,320 34,560 25,953 25,138 26,056 31,689 31,689 28,131 28,131 32,174 17,768 32,199 34,003 21,523 24,807 25,293 31,376 18,535 25,786 33,975 28,378 35,682 22,774 33,395 34,373 26,944 25,503 32,191 24,980 20,465 30,922 29,696 37,696 70.5 70.9 64.2 93.4 97.0 103.0 80.4 104.0 97.5 94.2 102.8 118.7 78.2 91.7 75.1 77.7 80.2 74.9 92.6 102.0 83.1 67.5 67.5 91.3 87.1 (D) 89.9 88.7 96.0 85.0 75.0 66.3 75.2 73.9 73.9 70.7 70.7 94.8 94.8 95.9 75.4 72.2 98.5 74.0 71.7 74.3 90.3 90.3 80.2 80.2 91.7 50.6 91.8 96.9 61.4 70.7 72.1 89.4 52.8 73.5 96.8 80.9 101.7 64.9 95.2 98.0 76.8 72.7 91.8 71.2 58.3 88.1 84.6 107.5



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . Bannock County, ID . . . . . . . . . . . . . . . . . . . . Power County, ID . . . . . . . . . . . . . . . . . . . . . . Portland-South Portland-Biddeford, ME Cumberland County, ME . . . . . . . . Sagadahoc County, ME . . . . . . . . . York County, ME. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,485 39,800 3,685 286,977 157,029 18,789 111,159 1,094,183 189,545 23,108 374,146 264,193 43,899 194,341 4,951 165,346 63,400 101,946 321,040 146,342 174,698 86,965 86,965 849,649 287,360 27,143 95,732 45,453 321,356 72,605 195,722 3,961 191,761 68,767 68,767 60,501 60,501 100,667 100,667 484,107 25,828 68,596 389,683 65,340 12,967 52,373 197,732 197,732 83,543 83,543 208,568 2,014 206,554 600,345 6,093 11,745 3,808 153,150 4,396 12,374 9,750 52,014 152,386 3,183 7,627 14,200 8,147 12,523 13,995 4,421 8,967 10,194 14,331 97,041



Net change, 2000– 2004 1,565 1,484 81 16,533 8,067 325 8,141 16,729 1,659 599 –5,778 5,658 81 14,384 126 21,639 7,091 14,548 18,351 6,530 11,821 11,384 11,384 28,480 9,143 318 2,979 492 11,993 3,555 12,168 237 11,931 4,917 4,917 5,356 5,356 921 921 31,195 1,510 4,776 24,909 4,155 686 3,469 3,117 3,117 8,721 8,721 11,642 16 11,626 36,023 269 823 219 11,830 188 419 895 4,859 7,838 45 648 1,402 897 1,351 848 –79 404 387 513 2,267



2000 41,920 38,316 3,604 270,444 148,962 18,464 103,018 1,077,454 187,886 22,509 379,924 258,535 43,818 179,957 4,825 143,707 56,309 87,398 302,689 139,812 162,877 75,581 75,581 821,169 278,217 26,825 92,753 44,961 309,363 69,050 183,554 3,724 179,830 63,850 63,850 55,145 55,145 99,746 99,746 452,912 24,318 63,820 364,774 61,185 12,281 48,904 194,615 194,615 74,822 74,822 196,926 1,998 194,928 564,322 5,824 10,922 3,589 141,320 4,208 11,955 8,855 47,155 144,548 3,138 6,979 12,798 7,250 11,172 13,147 4,500 8,563 9,807 13,818 94,774



2004 2,084 1,858 226 10,289 5,258 685 4,346 78,376 12,838 2,127 28,532 16,711 3,250 14,491 427 9,361 3,035 6,326 14,205 6,150 8,055 3,704 3,704 46,500 17,524 1,201 4,688 2,082 17,985 3,020 9,483 247 9,236 4,976 4,976 3,022 3,022 6,049 6,049 21,059 1,317 3,029 16,713 2,183 447 1,736 10,523 10,523 6,172 6,172 8,386 68 8,318 23,183 212 460 187 4,831 170 471 319 1,484 5,207 119 246 506 265 363 588 290 354 562 1,094 5,455



2000 2004 2000 1,981 1,774 207 7,116 3,793 514 2,809 48,302 7,736 1,255 18,032 10,162 2,198 8,622 297 7,398 2,353 5,045 10,031 4,509 5,522 2,959 2,959 32,187 10,157 960 3,555 1,645 13,598 2,272 5,446 133 5,313 2,329 2,329 2,042 2,042 3,892 3,892 11,529 795 1,864 8,870 1,546 319 1,227 7,659 7,659 4,493 4,493 7,337 65 7,272 11,635 116 237 88 2,521 94 249 154 777 2,613 80 131 303 132 202 335 165 192 278 470 2,498 4.8 4.7 6.1 3.6 3.3 3.6 3.9 7.2 6.8 9.2 7.6 6.3 7.4 7.5 8.6 5.7 4.8 6.2 4.4 4.2 4.6 4.3 4.3 5.5 6.1 4.4 4.9 4.6 5.6 4.2 4.8 6.2 4.8 7.2 7.2 5.0 5.0 6.0 6.0 4.4 5.1 4.4 4.3 3.3 3.4 3.3 5.3 5.3 7.4 7.4 4.0 3.4 4.0 3.9 3.5 3.9 4.9 3.2 3.9 3.8 3.3 2.9 3.4 3.7 3.2 3.6 3.3 2.9 4.2 6.6 3.9 5.5 7.6 5.6 4.7 4.6 5.7 2.6 2.5 2.8 2.7 4.5 4.1 5.6 4.7 3.9 5.0 4.8 6.2 5.1 4.2 5.8 3.3 3.2 3.4 3.9 3.9 3.9 3.7 3.6 3.8 3.7 4.4 3.3 3.0 3.6 3.0 3.6 3.6 3.7 3.7 3.9 3.9 2.5 3.3 2.9 2.4 2.5 2.6 2.5 3.9 3.9 6.0 6.0 3.7 3.3 3.7 2.1 2.0 2.2 2.5 1.8 2.2 2.1 1.7 1.6 1.8 2.5 1.9 2.4 1.8 1.8 2.5 3.7 2.2 2.8 3.4 2.6



Net change, 2000– 2002 2002 2,067 1,911 156 16,826 10,574 847 5,405 57,429 10,017 888 23,215 12,725 2,080 8,337 167 8,613 4,525 4,088 15,543 7,077 8,466 5,382 5,382 58,680 13,517 17,500 4,949 2,735 16,262 3,717 8,225 162 8,063 3,233 3,233 3,393 3,393 4,258 4,258 24,698 836 2,753 21,109 3,886 576 3,310 8,405 8,405 4,552 4,552 11,484 78 11,406 29,360 281 386 187 5,893 148 348 492 2,805 7,079 129 327 493 259 511 387 201 661 472 745 7,556 24 17 7 598 266 63 269 699 392 42 –357 277 41 301 3 538 257 281 706 316 390 397 397 16,927 297 16,369 26 33 –19 221 950 14 936 46 46 320 320 110 110 921 80 192 649 154 57 97 250 250 84 84 269 269 709 27 22 58 396 16 98 62 128 –133 26 17 1 –5 46 31 5 6 –5 –134 47



2002 25,329 23,621 1,708 212,531 148,683 13,499 50,349 844,882 122,746 8,756 381,845 212,600 23,649 94,221 1,065 91,520 47,568 43,952 196,208 99,029 97,179 49,244 49,244 599,074 198,582 (D) 69,143 29,420 264,097 37,832 134,191 1,778 132,413 44,835 44,835 31,486 31,486 71,400 71,400 378,506 8,224 30,218 340,064 47,027 5,293 41,734 145,505 145,505 48,851 48,851 172,303 298 172,005 502,829 1,921 3,284 1,940 89,339 899 4,835 4,680 35,440 141,809 736 3,095 4,049 1,890 3,119 7,058 2,334 9,523 7,734 13,215 165,929



Net change, 2000– 2002 –745 –486 –259 –3,019 –1,414 –416 –1,189 –22,376 7,037 –280 –22,997 –1,832 –445 –3,698 –161 1,279 –1,093 2,372 11,199 7,981 3,218 3,181 3,181 –3,813 –4,565 (D) –2,554 875 476 1,955 –9,914 30 –9,944 –3,518 –3,518 –199 –199 –2,027 –2,027 7,976 74 582 7,320 204 641 –437 –3,358 –3,358 2,735 2,735 2,496 –166 2,662 5,809 179 309 493 7,417 103 –22 1,368 1,247 –6,597 167 –88 –139 –315 –2,051 2,658 –596 –662 –374 –831 3,543



Portland-Vancouver-Beaverton, OR-WA . . . Clackamas County, OR . . . . . . . . . . . . Columbia County, OR . . . . . . . . . . . . . Multnomah County, OR . . . . . . . . . . . . Washington County, OR . . . . . . . . . . . . Yamhill County, OR . . . . . . . . . . . . . . . Clark County, WA . . . . . . . . . . . . . . . . Skamania County, WA . . . . . . . . . . . . . Port St. Lucie-Fort Pierce, FL. . . . . . . . . . Martin County, FL . . . . . . . . . . . . . . . . St. Lucie County, FL . . . . . . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Dutchess County, NY . . . . . . . . . . . . . Orange County, NY . . . . . . . . . . . . . . . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Yavapai County, AZ. . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA. Bristol County, MA . . . . . . . . . . . . . . . Bristol County, RI . . . . . . . . . . . . . . . . Kent County, RI . . . . . . . . . . . . . . . . . Newport County, RI . . . . . . . . . . . . . . . Providence County, RI . . . . . . . . . . . . . Washington County, RI . . . . . . . . . . . . Provo-Orem, UT . . . . . . . . . . . . . . . . . . Juab County, UT. . . . . . . . . . . . . . . . . Utah County, UT. . . . . . . . . . . . . . . . . Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . Pueblo County, CO . . . . . . . . . . . . . . . Punta Gorda, FL . . . . . . . . . . . . . . . . . . Charlotte County, FL . . . . . . . . . . . . . . Racine, WI . . . . . . . . . . . . . . . . . . . . . . Racine County, WI . . . . . . . . . . . . . . . Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . Franklin County, NC . . . . . . . . . . . . . . Johnston County, NC. . . . . . . . . . . . . . Wake County, NC . . . . . . . . . . . . . . . . Rapid City, SD . . . . . . . . . . . . . . . . . . . Meade County, SD . . . . . . . . . . . . . . . Pennington County, SD . . . . . . . . . . . . Reading, PA . . . . . . . . . . . . . . . . . . . . . Berks County, PA . . . . . . . . . . . . . . . . Redding, CA . . . . . . . . . . . . . . . . . . . . . Shasta County, CA . . . . . . . . . . . . . . . Reno-Sparks, NV. . . . . . . . . . . . . . . . . . Storey County, NV . . . . . . . . . . . . . . . Washoe County, NV . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . Amelia County, VA . . . . . . . Caroline County, VA . . . . . . Charles City County, VA. . . . Chesterfield County, VA . . . . Cumberland County, VA . . . . Dinwiddie County, VA . . . . . Goochland County, VA. . . . . Hanover County, VA . . . . . . Henrico County, VA . . . . . . . King and Queen County, VA . King William County, VA. . . . Louisa County, VA . . . . . . . New Kent County, VA . . . . . Powhatan County, VA . . . . . Prince George County, VA . . Sussex County, VA . . . . . . . Colonial Heights city, VA . . . Hopewell city, VA . . . . . . . . Petersburg city, VA . . . . . . . Richmond city, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



262



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 29,093 28,679 29,457 28,547 28,735 20,525 23,466 25,899 30,004 31,252 35,137 28,606 36,388 25,161 33,722 23,536 35,148 29,546 22,596 27,692 32,543 38,471 32,028 26,944 27,780 26,318 26,061 26,061 34,575 29,420 35,494 35,195 31,662 32,837 32,837 27,642 28,161 27,547 23,696 23,696 25,972 22,439 20,201 26,523 20,103 34,607 24,948 18,609 21,602 19,404 24,116 29,062 27,161 27,063 26,349 24,394 27,073 30,395 36,803 23,271 17,676 39,930 27,674 27,968 25,361 32,123 32,123 27,020 26,540 27,068 31,910 32,284 22,542 30,019 82.9 81.7 84.0 81.4 81.9 58.5 66.9 73.8 85.5 89.1 100.2 81.5 103.7 71.7 96.1 67.1 100.2 84.2 64.4 78.9 92.8 109.7 91.3 76.8 79.2 75.0 74.3 74.3 98.6 83.9 101.2 100.3 90.3 93.6 93.6 78.8 80.3 78.5 67.5 67.5 74.0 64.0 57.6 75.6 57.3 98.6 71.1 53.0 61.6 55.3 68.7 82.8 77.4 77.1 75.1 69.5 77.2 86.6 104.9 66.3 50.4 113.8 78.9 79.7 72.3 91.6 91.6 77.0 75.7 77.2 91.0 92.0 64.3 85.6



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Riverside-San Bernardino-Ontario, CA . . . . . . . . . . Riverside County, CA . . . . . . . . . . . . . . . . . . . San Bernardino County, CA . . . . . . . . . . . . . . . Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . Botetourt County, VA . . . . . . . . . . . . . . . Craig County, VA . . . . . . . . . . . . . . . . . Franklin County, VA. . . . . . . . . . . . . . . . Roanoke County, VA . . . . . . . . . . . . . . . Roanoke city, VA . . . . . . . . . . . . . . . . . Salem city, VA . . . . . . . . . . . . . . . . . . . Rochester, MN . . . . . . . . . . . . . . . . . . . . Dodge County, MN . . . . . . . . . . . . . . . . Olmsted County, MN . . . . . . . . . . . . . . . Wabasha County, MN . . . . . . . . . . . . . . Rochester, NY. . . . . . . . . . . . . . . . . . . . . Livingston County, NY . . . . . . . . . . . . . . Monroe County, NY. . . . . . . . . . . . . . . . Ontario County, NY . . . . . . . . . . . . . . . . Orleans County, NY . . . . . . . . . . . . . . . Wayne County, NY . . . . . . . . . . . . . . . . Rockford, IL . . . . . . . . . . . . . . . . . . . . . . Boone County, IL . . . . . . . . . . . . . . . . . Winnebago County, IL . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . . . Edgecombe County, NC. . . . . . . . . . . . . Nash County, NC . . . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . . . Floyd County, GA . . . . . . . . . . . . . . . . . Sacramento—Arden-Arcade—Roseville, CA . El Dorado County, CA . . . . . . . . . . . . . . Placer County, CA . . . . . . . . . . . . . . . . Sacramento County, CA. . . . . . . . . . . . . Yolo County, CA . . . . . . . . . . . . . . . . . . Saginaw-Saginaw Township North, MI . . . . . Saginaw County, MI . . . . . . . . . . . . . . . St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . Benton County, MN . . . . . . . . . . . . . . . . Stearns County, MN . . . . . . . . . . . . . . . St. George, UT . . . . . . . . . . . . . . . . . . . . Washington County, UT . . . . . . . . . . . . . St. Joseph, MO-KS . . . . . . . . . . . . . . . . . Doniphan County, KS . . . . . . . . . . . . . . Andrew County, MO . . . . . . . . . . . . . . . Buchanan County, MO. . . . . . . . . . . . . . DeKalb County, MO . . . . . . . . . . . . . . . St. Louis, MO-IL4 . . . . . . . . . . . . . . . . . . . Bond County, IL . . . . . . . . . . . . . . . . . . Calhoun County, IL . . . . . . . . . . . . . . . . Clinton County, IL . . . . . . . . . . . . . . . . . Jersey County, IL . . . . . . . . . . . . . . . . . Macoupin County, IL . . . . . . . . . . . . . . . Madison County, IL . . . . . . . . . . . . . . . . Monroe County, IL . . . . . . . . . . . . . . . . St. Clair County, IL . . . . . . . . . . . . . . . . Franklin County, MO . . . . . . . . . . . . . . . Jefferson County, MO . . . . . . . . . . . . . . Lincoln County, MO. . . . St. Charles County, MO . St. Louis County, MO . . Warren County, MO. . . . Washington County, MO St. Louis city, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,647,915 810,655 837,260 147,311 16,598 2,479 24,544 45,909 45,159 12,622 103,853 11,266 79,495 13,092 530,253 32,819 374,017 55,021 19,888 48,508 162,832 22,749 140,083 68,698 24,809 43,889 48,664 48,664 1,003,214 89,023 154,923 665,612 93,656 101,030 101,030 104,379 22,508 81,871 50,392 50,392 65,711 4,579 9,805 45,951 5,376 1,453,133 8,391 2,498 18,408 11,226 24,203 132,745 16,337 119,753 53,104 116,164 23,530 182,040 560,629 14,817 10,262 159,026 184,729 149,988 34,741 212,218 212,218 60,849 11,209 49,640 534,889 492,264 19,742 22,883



Net change, 2000– 2004 227,378 129,768 97,610 –315 282 1 404 337 –1,107 –232 8,187 990 6,471 726 –4,793 –208 –3,889 325 –461 –560 –5,400 743 –6,143 392 –152 544 3,884 3,884 98,069 7,225 23,435 59,569 7,840 –343 –343 5,028 1,833 3,195 11,318 11,318 5,145 488 923 3,321 413 25,391 77 –38 72 96 –161 140 838 196 1,753 5,120 2,727 14,646 1,772 1,199 300 –3,346 7,203 5,594 1,609 8,353 8,353 4,054 738 3,316 13,744 9,367 1,611 2,766



2000 1,420,537 680,887 739,650 147,626 16,316 2,478 24,140 45,572 46,266 12,854 95,666 10,276 73,024 12,366 535,046 33,027 377,906 54,696 20,349 49,068 168,232 22,006 146,226 68,306 24,961 43,345 44,780 44,780 905,145 81,798 131,488 606,043 85,816 101,373 101,373 99,351 20,675 78,676 39,074 39,074 60,566 4,091 8,882 42,630 4,963 1,427,742 8,314 2,536 18,336 11,130 24,364 132,605 15,499 119,557 51,351 111,044 20,803 167,394 558,857 13,618 9,962 162,372 177,526 144,394 33,132 203,865 203,865 56,795 10,471 46,324 521,145 482,897 18,131 20,117



2004 93,946 46,840 47,106 5,458 521 93 920 1,444 2,055 425 4,227 484 3,172 571 28,236 1,923 19,574 2,753 1,286 2,700 12,605 1,736 10,869 5,023 2,171 2,852 2,227 2,227 53,792 4,558 7,060 36,635 5,539 8,784 8,784 4,876 1,162 3,714 2,225 2,225 3,902 351 490 2,764 297 86,535 562 180 1,018 662 1,583 8,347 751 8,499 3,038 6,427 1,297 7,744 30,280 781 866 14,500 13,691 11,411 2,280 17,450 17,450 2,837 706 2,131 28,830 26,546 1,044 1,240



2000 2004 2000 71,834 36,432 35,402 3,239 290 59 719 791 1,133 247 2,667 313 1,987 367 19,479 1,342 13,379 1,939 949 1,870 7,803 1,077 6,726 3,474 1,469 2,005 1,679 1,679 38,898 3,400 4,733 26,426 4,339 4,093 4,093 3,227 730 2,497 1,379 1,379 2,046 202 256 1,421 167 50,029 388 140 722 510 1,104 5,814 511 6,068 1,740 3,352 650 3,955 15,722 423 553 8,377 9,623 8,027 1,596 15,023 15,023 2,568 650 1,918 16,735 15,357 634 744 5.7 5.8 5.6 3.7 3.1 3.8 3.7 3.1 4.6 3.4 4.1 4.3 4.0 4.4 5.3 5.9 5.2 5.0 6.5 5.6 7.7 7.6 7.8 7.3 8.8 6.5 4.6 4.6 5.4 5.1 4.6 5.5 5.9 8.7 8.7 4.7 5.2 4.5 4.4 4.4 5.9 7.7 5.0 6.0 5.5 6.0 6.7 7.2 5.5 5.9 6.5 6.3 4.6 7.1 5.7 5.5 5.5 4.3 5.4 5.3 8.4 9.1 7.4 7.6 6.6 8.2 8.2 4.7 6.3 4.3 5.4 5.4 5.3 5.4 5.1 5.4 4.8 2.2 1.8 2.4 3.0 1.7 2.4 1.9 2.8 3.0 2.7 3.0 3.6 4.1 3.5 3.5 4.7 3.8 4.6 4.9 4.6 5.1 5.9 4.6 3.7 3.7 4.3 4.2 3.6 4.4 5.1 4.0 4.0 3.2 3.5 3.2 3.5 3.5 3.4 4.9 2.9 3.3 3.4 3.5 4.7 5.5 3.9 4.6 4.5 4.4 3.3 5.1 3.4 3.0 3.1 2.4 2.8 3.1 5.6 5.2 5.4 5.6 4.8 7.4 7.4 4.5 6.2 4.1 3.2 3.2 3.5 3.7



Net change, 2000– 2002 2002 57,650 28,954 28,696 8,287 679 62 1,035 2,110 3,437 964 4,318 454 3,261 603 23,307 1,257 16,877 2,713 692 1,768 7,755 761 6,994 3,234 1,007 2,227 2,057 2,057 42,752 4,262 8,276 26,670 3,544 5,006 5,006 5,016 895 4,121 2,794 2,794 3,022 171 239 2,415 197 69,287 338 101 874 416 1,046 5,915 714 5,472 2,551 3,632 823 6,687 29,974 571 448 9,725 8,686 7,497 1,189 8,898 8,898 2,937 392 2,545 28,833 26,691 1,619 523 4,006 2,389 1,617 127 95 3 81 680 –736 4 269 41 269 –41 316 18 38 157 8 95 7 59 –52 –26 53 –79 41 41 2,353 306 979 948 120 –17 –17 324 144 180 283 283 72 –10 –3 80 5 1,015 –14 –8 52 –1 –25 108 55 37 132 139 63 433 –187 15 129 87 93 47 46 323 323 –2 –13 11 942 756 129 57



2002 914,837 427,580 487,257 135,599 6,608 318 11,103 34,664 59,918 22,988 90,080 3,806 78,872 7,402 432,379 12,437 351,760 40,429 7,607 20,146 137,321 10,967 126,354 56,508 24,209 32,299 36,121 36,121 653,250 40,114 109,719 445,167 58,250 85,294 85,294 86,052 13,267 72,785 29,996 29,996 42,919 1,479 1,541 38,675 1,224 1,214,875 3,709 609 8,890 4,590 9,885 83,041 7,041 77,768 31,362 36,378 7,855 100,342 570,586 5,740 2,837 264,242 103,340 91,716 11,624 109,812 109,812 41,015 3,712 37,303 492,324 467,970 17,233 7,121



Net change, 2000– 2002 56,404 34,774 21,630 –3,700 260 –25 –109 11,223 –15,417 368 3,427 –238 3,574 91 –10,910 –103 –11,013 896 239 –929 –10,055 –673 –9,382 –1,448 7,028 –8,476 –1,823 –1,823 39,831 1,899 15,788 21,284 860 –7,319 –7,319 2,728 1,870 858 3,357 3,357 16 –568 –742 1,594 –268 –9,242 –474 –88 779 –48 –518 –2,238 801 2,477 –459 699 933 4,808 –16,262 –227 –89 664 –4,068 –2,899 –1,169 4,744 4,744 539 542 –3 –10,474 –12,905 1,791 640



Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . Marion County, OR . . . . . . . . . . . . . . . . . . . . . Polk County, OR. . . . . . . . . . . . . . . . . . . . . . . Salinas, CA . . . . . . . . . Monterey County, CA . Salisbury, MD . . . . . . . . Somerset County, MD . Wicomico County, MD . Salt Lake City, UT . . . . . Salt Lake County, UT . Summit County, UT . . . Tooele County, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



263



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 26,103 30,695 26,069 29,188 20,845 20,533 29,753 25,808 26,122 27,911 20,465 19,035 37,412 37,412 28,872 28,872 49,720 44,380 44,697 43,731 55,249 42,619 56,717 56,911 62,395 30,167 62,784 28,004 28,004 34,230 34,230 34,118 34,118 27,814 27,814 35,607 35,607 28,499 27,636 28,967 28,909 22,200 29,032 30,301 26,712 26,104 26,823 31,605 43,193 45,134 46,962 36,338 31,774 31,774 30,492 30,492 28,209 28,209 26,570 22,751 27,601 27,410 26,670 25,123 25,877 27,994 34,173 28,944 28,590 18,509 29,276 18,104 29,993 30,224 26,774 74.4 87.5 74.3 83.2 59.4 58.5 84.8 73.6 74.5 79.6 58.3 54.3 106.6 106.6 82.3 82.3 141.7 126.5 127.4 124.7 157.5 121.5 161.7 162.2 177.9 86.0 179.0 79.8 79.8 97.6 97.6 97.3 97.3 79.3 79.3 101.5 101.5 81.2 78.8 82.6 82.4 63.3 82.8 86.4 76.1 74.4 76.5 90.1 123.1 128.7 133.9 103.6 90.6 90.6 86.9 86.9 80.4 80.4 75.7 64.9 78.7 78.1 76.0 71.6 73.8 79.8 97.4 82.5 81.5 52.8 83.5 51.6 85.5 86.2 76.3



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . Irion County, TX . . . . . . . . . . . . . . . . . . . . . . . Tom Green County, TX . . . . . . . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . . . . . Atascosa County, TX . . . . . . . . . . . . . . Bandera County, TX . . . . . . . . . . . . . . Bexar County, TX . . . . . . . . . . . . . . . . Comal County, TX. . . . . . . . . . . . . . . . Guadalupe County, TX. . . . . . . . . . . . . Kendall County, TX . . . . . . . . . . . . . . . Medina County, TX . . . . . . . . . . . . . . . Wilson County, TX . . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA . . . . San Diego County, CA. . . . . . . . . . . . . Sandusky, OH . . . . . . . . . . . . . . . . . . . . Erie County, OH . . . . . . . . . . . . . . . . . San Francisco-Oakland-Fremont, CA . . . Oakland-Fremont-Hayward, CA . . . . . . . Alameda County, CA . . . . . . . . . . . . Contra Costa County, CA . . . . . . . . . San Francisco-San Mateo-Redwood City, Marin County, CA . . . . . . . . . . . . . . San Francisco County, CA. . . . . . . . . San Mateo County, CA . . . . . . . . . . . San Jose-Sunnyvale-Santa Clara, CA . . . . San Benito County, CA . . . . . . . . . . . . Santa Clara County, CA . . . . . . . . . . . . San Luis Obispo-Paso Robles, CA . . . . . . San Luis Obispo County, CA. . . . . . . . . Santa Barbara-Santa Maria, CA . . . . . . . . Santa Barbara County, CA . . . . . . . . . . Santa Cruz-Watsonville, CA. . . . . . . . . . . Santa Cruz County, CA . . . . . . . . . . . . Santa Fe, NM . . . . . . . . . . . . . . . . . . . . Santa Fe County, NM . . . . . . . . . . . . . Santa Rosa-Petaluma, CA. . . . . . . . . . . . Sonoma County, CA . . . . . . . . . . . . . . Sarasota-Bradenton-Venice, FL . . . . . . . . Manatee County, FL . . . . . . . . . . . . . . Sarasota County, FL . . . . . . . . . . . . . . Savannah, GA . . . . . . . . . . . . . . . . . . . Bryan County, GA . . . . . . . . . . . . . . . . Chatham County, GA. . . . . . . . . . . . . . Effingham County, GA . . . . . . . . . . . . . Scranton—Wilkes-Barre, PA . . . . . . . . . . Lackawanna County, PA . . . . . . . . . . . Luzerne County, PA . . . . . . . . . . . . . . Wyoming County, PA . . . . . . . . . . . . . . Seattle-Tacoma-Bellevue, WA . . . . . . . . Seattle-Bellevue-Everett, WA . . . . . . . . King County, WA . . . . . . . . . . . . . . . Snohomish County, WA . . . . . . . . . . Tacoma, WA . . . . . . . . . . . . . . . . . . . Pierce County, WA . . . . . . . . . . . . . . Sheboygan, WI . . . . . . . . . . . . . . . . . . . Sheboygan County, WI . . . . . . . . . . . . Sherman-Denison, TX . . . . . . . . . . . . . . Grayson County, TX . . . . . . . . . . . . . . Shreveport-Bossier City, Bossier Parish, LA . . Caddo Parish, LA . . . De Soto Parish, LA . . Sioux City, IA-NE-SD . . Woodbury County, IA. Dakota County, NE . . Dixon County, NE . . . Union County, SD . . . LA . ... ... ... ... ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... CA. ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,200 959 52,241 883,166 18,837 9,565 709,784 45,746 49,705 13,370 19,214 16,945 1,490,333 1,490,333 43,516 43,516 2,178,653 1,259,397 751,698 507,699 919,256 129,928 425,970 363,358 854,249 25,429 828,820 130,739 130,739 214,137 214,137 145,419 145,419 75,811 75,811 256,820 256,820 298,354 136,556 161,798 155,061 13,601 118,919 22,541 278,004 105,710 158,007 14,287 1,698,510 1,331,242 993,458 337,784 367,268 367,268 64,662 64,662 57,169 57,169 175,564 48,981 115,450 11,133 74,597 53,252 10,783 3,176 7,386 119,418 17,531 3,041 94,111 4,735 160,589 133,572 27,017



Net change, 2000– 2004 1,577 16 1,561 64,002 1,619 863 47,810 5,376 4,363 1,279 1,254 1,438 113,684 113,684 1,548 1,548 –104,663 –10,990 –17,634 6,644 –93,673 –11,889 –46,908 –34,876 –113,545 –2,001 –111,544 8,236 8,236 11,566 11,566 –3,119 –3,119 5,169 5,169 3,469 3,469 26,347 13,348 12,999 12,549 1,960 7,116 3,473 5,144 2,085 2,575 484 54,877 28,653 12,560 16,093 26,224 26,224 139 139 868 868 3,310 2,036 897 377 –2,850 –2,579 –157 –194 80 8,033 3,010 52 5,029 –58 –1,515 –1,342 –173



2000 51,623 943 50,680 819,164 17,218 8,702 661,974 40,370 45,342 12,091 17,960 15,507 1,376,649 1,376,649 41,968 41,968 2,283,316 1,270,387 769,332 501,055 1,012,929 141,817 472,878 398,234 967,794 27,430 940,364 122,503 122,503 202,571 202,571 148,538 148,538 70,642 70,642 253,351 253,351 272,007 123,208 148,799 142,512 11,641 111,803 19,068 272,860 103,625 155,432 13,803 1,643,633 1,302,589 980,898 321,691 341,044 341,044 64,523 64,523 56,301 56,301 172,254 46,945 114,553 10,756 77,447 55,831 10,940 3,370 7,306 111,385 14,521 2,989 89,082 4,793 162,104 134,914 27,190



2004 2,595 41 2,554 49,835 1,073 470 41,061 2,342 2,384 603 1,058 844 70,292 70,292 2,763 2,763 121,318 72,481 44,887 27,594 48,837 5,773 25,073 17,991 57,002 2,412 54,590 5,718 5,718 9,990 9,990 10,231 10,231 3,273 3,273 12,680 12,680 12,087 5,619 6,468 6,274 454 5,021 799 17,978 6,394 10,699 885 95,815 69,788 50,826 18,962 26,027 26,027 2,863 2,863 3,518 3,518 10,622 2,625 7,177 820 3,855 2,934 478 112 331 3,792 418 98 3,103 173 7,973 6,705 1,268



2000 2004 2000 2,000 30 1,970 32,586 710 317 26,909 1,421 1,546 405 713 565 53,973 53,973 1,771 1,771 77,184 45,640 27,832 17,808 31,544 4,038 16,098 11,408 31,136 1,654 29,482 4,888 4,888 8,796 8,796 7,613 7,613 2,571 2,571 8,459 8,459 8,665 3,912 4,753 4,916 359 3,965 592 13,261 4,639 7,962 660 71,090 53,960 39,529 14,431 17,130 17,130 1,592 1,592 2,238 2,238 8,292 2,111 5,555 626 2,130 1,503 348 85 194 2,357 267 71 1,902 117 4,996 4,139 857 4.9 4.3 4.9 5.6 5.7 4.9 5.8 5.1 4.8 4.5 5.5 5.0 4.7 4.7 6.3 6.3 5.6 5.8 6.0 5.4 5.3 4.4 5.9 5.0 6.7 9.5 6.6 4.4 4.4 4.7 4.7 7.0 7.0 4.3 4.3 4.9 4.9 4.1 4.1 4.0 4.0 3.3 4.2 3.5 6.5 6.0 6.8 6.2 5.6 5.2 5.1 5.6 7.1 7.1 4.4 4.4 6.2 6.2 6.1 5.4 6.2 7.4 5.2 5.5 4.4 3.5 4.5 3.2 2.4 3.2 3.3 3.7 5.0 5.0 4.7 3.9 3.2 3.9 4.0 4.1 3.6 4.1 3.5 3.4 3.3 4.0 3.6 3.9 3.9 4.2 4.2 3.4 3.6 3.6 3.6 3.1 2.8 3.4 2.9 3.2 6.0 3.1 4.0 4.0 4.3 4.3 5.1 5.1 3.6 3.6 3.3 3.3 3.2 3.2 3.2 3.4 3.1 3.5 3.1 4.9 4.5 5.1 4.8 4.3 4.1 4.0 4.5 5.0 5.0 2.5 2.5 4.0 4.0 4.8 4.5 4.8 5.8 2.8 2.7 3.2 2.5 2.7 2.1 1.8 2.4 2.1 2.4 3.1 3.1 3.2



Net change, 2000– 2002 2002 2,619 47 2,572 36,897 574 376 30,225 2,220 1,588 852 616 446 71,330 71,330 2,045 2,045 118,782 59,211 36,772 22,439 59,571 10,183 29,599 19,789 45,333 1,029 44,304 7,492 7,492 11,062 11,062 7,028 7,028 4,866 4,866 13,666 13,666 17,999 6,207 11,792 7,648 437 6,667 544 13,600 5,336 7,634 630 90,730 74,797 59,191 15,606 15,933 15,933 2,699 2,699 2,577 2,577 8,627 2,059 6,208 360 3,893 2,881 460 128 424 6,466 711 183 5,299 273 7,279 6,417 862 –15 5 –20 1,132 29 55 426 170 229 126 42 55 3,408 3,408 4 4 –1,744 755 381 374 –2,499 –74 –1,807 –618 –1,287 64 –1,351 548 548 178 178 56 56 197 197 247 247 1,127 605 522 129 39 45 45 –114 –86 –27 –1 54 –329 –620 291 383 383 95 95 –3 –3 55 91 –50 14 –7 –51 18 2 24 272 105 5 163 –1 –98 –140 42



2002 35,691 262 35,429 640,934 5,959 1,982 566,881 27,876 22,988 6,678 4,895 3,675 1,083,047 1,083,047 29,458 29,458 1,912,175 972,754 653,437 319,317 939,421 102,449 501,768 335,204 906,018 10,813 895,205 81,056 81,056 139,876 139,876 78,674 78,674 46,006 46,006 166,357 166,357 207,513 73,016 134,497 121,773 3,270 112,680 5,823 223,592 90,351 124,838 8,403 1,373,253 1,173,703 971,829 201,874 199,550 199,550 56,288 56,288 36,693 36,693 144,732 30,609 109,937 4,186 68,493 46,561 10,190 1,296 10,446 108,128 6,078 1,233 99,169 1,648 127,395 118,863 8,532



Net change, 2000– 2002 665 8 657 3,136 43 321 –5,019 2,897 3,870 479 –12 557 30,833 30,833 –3,606 –3,606 –94,152 1,257 –2,293 3,550 –95,409 –3,826 –53,879 –37,704 –104,282 32 –104,314 7,431 7,431 –320 –320 –586 –586 1,311 1,311 3,357 3,357 –34,987 –8,448 –26,539 6,159 118 5,571 470 –5,313 –3,032 –2,490 209 –72,565 –63,896 –61,057 –2,839 –8,669 –8,669 –940 –940 –2,826 –2,826 1,528 –136 1,796 –132 –3,608 –988 –696 592 –2,516 1,273 871 –40 434 8 –6,809 –6,229 –580



Sioux Falls, SD . . . . . . . . . . . Lincoln County, SD . . . . . . . McCook County, SD . . . . . . Minnehaha County, SD . . . . Turner County, SD . . . . . . . South Bend-Mishawaka, IN-MI . St. Joseph County, IN . . . . . Cass County, MI . . . . . . . . .



See footnotes at end of table.



264



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 31,607 31,607 30,294 30,294 29,481 23,295 29,596 30,681 25,629 32,506 26,656 25,318 20,904 14,619 26,313 19,380 22,040 26,565 26,565 25,894 25,894 30,952 30,952 25,686 25,686 32,316 25,486 33,024 31,406 27,395 25,253 20,954 27,877 22,861 32,704 23,600 35,493 23,675 31,165 27,121 24,459 24,485 37,730 26,593 25,284 25,815 25,082 32,000 30,335 32,200 32,269 31,675 28,364 18,830 25,144 14,553 29,526 20,912 43,228 43,228 29,586 29,586 31,950 24,839 23,590 18,059 22,280 28,021 33,126 21,791 27,634 20,182 22,203 28,003 90.1 90.1 86.4 86.4 84.0 66.4 84.4 87.5 73.1 92.7 76.0 72.2 59.6 41.7 75.0 55.2 62.8 75.7 75.7 73.8 73.8 88.2 88.2 73.2 73.2 92.1 72.6 94.1 89.5 78.1 72.0 59.7 79.5 65.2 93.2 67.3 101.2 67.5 88.8 77.3 69.7 69.8 107.6 75.8 72.1 73.6 71.5 91.2 86.5 91.8 92.0 90.3 80.9 53.7 71.7 41.5 84.2 59.6 123.2 123.2 84.3 84.3 91.1 70.8 67.2 51.5 63.5 79.9 94.4 62.1 78.8 57.5 63.3 79.8



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Spartanburg, SC . . . . . . . . . . . . . . Spartanburg County, SC . . . . . . . Spokane, WA . . . . . . . . . . . . . . . . Spokane County, WA . . . . . . . . . Springfield, IL . . . . . . . . . . . . . . . . Menard County, IL . . . . . . . . . . . Sangamon County, IL . . . . . . . . . Springfield, MA . . . . . . . . . . . . . . . Franklin County, MA . . . . . . . . . . Hampden County, MA . . . . . . . . . Hampshire County, MA . . . . . . . . Springfield, MO . . . . . . . . . . . . . . . Christian County, MO . . . . . . . . . Dallas County, MO . . . . . . . . . . . Greene County, MO . . . . . . . . . . Polk County, MO . . . . . . . . . . . . Webster County, MO . . . . . . . . . . Springfield, OH . . . . . . . . . . . . . . . Clark County, OH . . . . . . . . . . . . State College, PA . . . . . . . . . . . . . Centre County, PA . . . . . . . . . . . Stockton, CA . . . . . . . . . . . . . . . . San Joaquin County, CA . . . . . . . Sumter, SC. . . . . . . . . . . . . . . . . . Sumter County, SC . . . . . . . . . . . Syracuse, NY . . . . . . . . . . . . . . . . Madison County, NY . . . . . . . . . . Onondaga County, NY . . . . . . . . . Oswego County, NY . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Gadsden County, FL . . . . . . . . . . Jefferson County, FL . . . . . . . . . . Leon County, FL . . . . . . . . . . . . . Wakulla County, FL . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Hernando County, FL . . . . . . . . . Hillsborough County, FL . . . . . . . . Pasco County, FL . . . . . . . . . . . . Pinellas County, FL . . . . . . . . . . . Terre Haute, IN . . . . . . . . . . . . . . . Clay County, IN . . . . . . . . . . . . . Sullivan County, IN . . . . . . . . . . . Vermillion County, IN . . . . . . . . . . Vigo County, IN . . . . . . . . . . . . . Texarkana, TX-Texarkana, AR . . . . . Miller County, AR . . . . . . . . . . . . Bowie County, TX . . . . . . . . . . . . Toledo, OH . . . . . . . . . . . . . . . . . . Fulton County, OH . . . . . . . . . . . Lucas County, OH. . . . . . . . . . . . Ottawa County, OH . . . . . . . . . . . Wood County, OH. . . . . . . . . . . . Topeka, KS. . . . . . . . . . . . . . . . . . Jackson County, KS . . . . . . . . . . Jefferson County, KS. . . . . . . . . . Osage County, KS . . . . . . . . . . . Shawnee County, KS. . . . . . . . . . Wabaunsee County, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,026 131,026 224,981 224,981 109,117 6,756 102,361 352,473 39,771 224,098 88,604 211,403 35,131 7,522 138,403 13,971 16,376 70,600 70,600 72,253 72,253 285,200 285,200 45,664 45,664 328,548 35,676 233,001 59,871 173,345 19,735 6,449 134,146 13,015 1,268,218 54,434 568,523 169,319 475,942 81,425 13,037 9,303 8,168 50,917 61,286 18,843 42,443 336,451 22,607 225,842 21,446 66,556 125,105 7,033 10,229 9,136 94,932 3,775 190,469 190,469 439,127 439,127 443,241 32,220 16,996 20,861 7,858 38,372 295,838 31,096 94,918 3,603 7,156 84,159



Net change, 2000– 2004 1,735 1,735 13,084 13,084 –3,068 –244 –2,824 7,355 545 4,898 1,912 12,204 4,339 318 5,552 812 1,183 –1,459 –1,459 3,785 3,785 26,032 26,032 1,041 1,041 2,913 508 1,474 931 1,108 –178 395 –451 1,342 68,868 4,873 39,840 19,129 5,026 109 137 47 4 –79 2,686 685 2,001 162 13 –490 140 499 5,272 414 517 341 3,943 57 10,326 10,326 29,961 29,961 3,424 283 –102 43 –61 2,275 –665 1,651 1,517 56 99 1,362



2000 129,291 129,291 211,897 211,897 112,185 7,000 105,185 345,118 39,226 219,200 86,692 199,199 30,792 7,204 132,851 13,159 15,193 72,059 72,059 68,468 68,468 259,168 259,168 44,623 44,623 325,635 35,168 231,527 58,940 172,237 19,913 6,054 134,597 11,673 1,199,350 49,561 528,683 150,190 470,916 81,316 12,900 9,256 8,164 50,996 58,600 18,158 40,442 336,289 22,594 226,332 21,306 66,057 119,833 6,619 9,712 8,795 90,989 3,718 180,143 180,143 409,166 409,166 439,817 31,937 17,098 20,818 7,919 36,097 296,503 29,445 93,401 3,547 7,057 82,797



2004 10,023 10,023 14,693 14,693 6,015 367 5,648 18,657 1,676 13,597 3,384 9,598 1,508 426 6,185 702 777 4,776 4,776 3,165 3,165 24,244 24,244 3,693 3,693 17,913 1,986 11,812 4,115 6,870 1,005 253 5,157 455 57,816 3,059 24,811 8,424 21,522 5,748 840 676 645 3,587 3,543 912 2,631 23,598 1,425 16,612 1,742 3,819 7,585 425 583 603 5,790 184 7,993 7,993 20,219 20,219 22,014 1,830 1,212 1,091 454 1,678 14,321 1,428 4,661 303 504 3,854



2000 2004 2000 4,447 4,447 11,051 11,051 4,134 251 3,883 9,902 941 7,112 1,849 5,587 824 304 3,577 385 497 3,107 3,107 2,418 2,418 18,014 18,014 1,834 1,834 12,337 1,354 8,162 2,821 5,500 798 223 4,104 375 40,370 2,157 17,237 5,536 15,440 3,324 510 467 365 1,982 2,794 805 1,989 14,573 908 10,264 1,083 2,318 4,850 282 383 401 3,659 125 5,881 5,881 15,310 15,310 12,970 1,044 773 669 297 981 8,439 767 3,507 217 380 2,910 7.6 7.6 6.5 6.5 5.5 5.4 5.5 5.3 4.2 6.1 3.8 4.5 4.3 5.7 4.5 5.0 4.7 6.8 6.8 4.4 4.4 8.5 8.5 8.1 8.1 5.5 5.6 5.1 6.9 4.0 5.1 3.9 3.8 3.5 4.6 5.6 4.4 5.0 4.5 7.1 6.4 7.3 7.9 7.0 5.8 4.8 6.2 7.0 6.3 7.4 8.1 5.7 6.1 6.0 5.7 6.6 6.1 4.9 4.2 4.2 4.6 4.6 5.0 5.7 7.1 5.2 5.8 4.4 4.8 4.6 4.9 8.4 7.0 4.6 3.4 3.4 5.2 5.2 3.7 3.6 3.7 2.9 2.4 3.2 2.1 2.8 2.7 4.2 2.7 2.9 3.3 4.3 4.3 3.5 3.5 7.0 7.0 4.1 4.1 3.8 3.9 3.5 4.8 3.2 4.0 3.7 3.0 3.2 3.4 4.4 3.3 3.7 3.3 4.1 4.0 5.0 4.5 3.9 4.8 4.4 4.9 4.3 4.0 4.5 5.1 3.5 4.0 4.3 3.9 4.6 4.0 3.4 3.3 3.3 3.7 3.7 2.9 3.3 4.5 3.2 3.8 2.7 2.8 2.6 3.8 6.1 5.4 3.5



Net change, 2000– 2002 2002 6,425 6,425 11,787 11,787 5,558 245 5,313 15,890 1,702 10,657 3,531 10,637 1,330 251 7,786 638 632 2,699 2,699 3,156 3,156 10,831 10,831 1,949 1,949 15,350 1,405 11,886 2,059 7,927 580 254 6,726 367 63,864 2,560 28,315 6,737 26,252 3,811 516 374 286 2,635 2,849 742 2,107 16,079 1,102 11,084 1,122 2,771 5,719 276 366 309 4,636 132 10,344 10,344 19,147 19,147 23,446 1,279 710 516 292 1,382 18,470 797 4,298 131 214 3,953 142 142 98 98 –52 –2 –50 –1,097 –97 –943 –57 291 125 –22 133 45 10 –11 –11 29 29 644 644 85 85 348 28 284 36 331 5 15 290 21 2,378 191 1,481 544 162 –35 –13 –13 –2 –7 –21 3 –24 75 4 –31 –35 137 –18 –9 –9 –40 36 4 695 695 515 515 306 4 43 –16 –18 75 187 31 –21 –3 –16 –2



2002 117,817 117,817 164,194 164,194 82,985 1,517 81,468 247,409 25,868 174,766 46,775 160,713 11,162 2,516 135,133 7,201 4,701 47,153 47,153 43,165 43,165 161,040 161,040 33,356 33,356 267,078 19,904 223,065 24,109 107,501 9,804 1,888 93,204 2,605 1,009,648 24,494 515,199 65,515 404,440 58,065 5,011 3,505 4,376 45,173 40,772 11,221 29,551 291,866 18,262 214,756 11,225 47,623 87,049 3,347 2,309 3,264 77,392 737 186,454 186,454 293,113 293,113 370,917 15,710 7,004 3,413 2,371 17,014 318,772 6,633 71,198 1,393 2,651 67,154



Net change, 2000– 2002 –4,135 –4,135 –4,079 –4,079 –2,457 116 –2,573 –4,561 1,110 –6,441 770 –3,382 –4 –270 –1,996 –471 –641 –3,918 –3,918 –3,589 –3,589 6,635 6,635 –3,664 –3,664 –6,342 –144 –5,650 –548 3,880 421 267 3,079 113 –23,097 886 12,365 274 –36,622 –4,618 –988 –366 –495 –2,769 –2,695 –99 –2,596 –9,610 –2,156 –5,963 –1,006 –485 –7,222 49 104 –214 –7,197 36 12,337 12,337 –269 –269 –6,420 –123 466 –820 –340 1,440 –6,093 –950 –2,935 76 –555 –2,456



Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . Mercer County, NJ . . . . . . . . . . . . . . . . . . . . . Tucson, AZ . . . . . . . . . . Pima County, AZ. . . . . Tulsa, OK. . . . . . . . . . . Creek County, OK. . . . Okmulgee County, OK . Osage County, OK . . . Pawnee County, OK . . Rogers County, OK . . . Tulsa County, OK . . . . Wagoner County, OK. . Tuscaloosa, AL . . . . . . . Greene County, AL . . . Hale County, AL . . . . . Tuscaloosa County, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



265



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 29,849 29,849 26,574 24,277 26,925 23,056 23,059 24,089 18,882 23,135 32,808 32,808 26,624 26,624 29,446 40,536 23,803 26,882 31,262 31,262 28,234 21,752 19,752 32,594 27,530 18,525 56,945 23,316 26,704 25,548 31,410 32,745 18,161 26,813 26,783 26,129 23,051 26,668 26,668 25,935 25,935 22,801 22,801 44,152 42,464 32,991 44,364 44,607 51,005 30,047 26,075 34,775 50,031 29,907 50,735 30,137 47,459 28,982 25,851 26,604 22,938 43,338 41,798 43,278 28,613 40,603 36,313 22,681 27,476 27,426 27,694 27,972 29,109 29,109 85.1 85.1 75.8 69.2 76.7 65.7 65.7 68.7 53.8 65.9 93.5 93.5 75.9 75.9 83.9 115.5 67.8 76.6 89.1 89.1 80.5 62.0 56.3 92.9 78.5 52.8 162.3 66.5 76.1 72.8 89.5 93.3 51.8 76.4 76.3 74.5 65.7 76.0 76.0 73.9 73.9 65.0 65.0 125.9 121.0 94.0 126.5 127.2 145.4 85.6 74.3 99.1 142.6 85.3 144.6 85.9 135.3 82.6 73.7 75.8 65.4 123.5 119.1 123.4 81.6 115.7 103.5 64.7 78.3 78.2 78.9 79.7 83.0 83.0



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Tyler, TX . . . . . . . . . . Smith County, TX . . . Utica-Rome, NY . . . . . Herkimer County, NY. Oneida County, NY . . Valdosta, GA. . . . . . . . Brooks County, GA . . Echols County, GA . . Lanier County, GA . . Lowndes County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,195 94,195 142,009 31,413 110,596 61,609 7,992 2,117 3,612 47,888 208,356 208,356 56,240 56,240 56,108 9,289 3,379 43,440 68,698 68,698 777,793 10,824 18,969 16,328 26,419 4,358 3,565 29,738 106,164 66,955 86,350 99,974 6,107 44,161 34,679 218,520 4,682 182,888 182,888 110,305 110,305 59,586 59,586 2,801,375 613,211 115,994 497,217 2,188,164 298,958 44,236 70,078 441,741 119,393 7,342 570,177 33,550 128,602 178,193 57,600 58,223 17,894 81,527 12,929 6,294 11,067 20,508 6,229 23,623 90,972 70,871 13,348 6,753 74,730 74,730



Net change, 2000– 2004 7,856 7,856 –671 –296 –375 5,261 414 253 272 4,322 9,547 9,547 5,208 5,208 337 –55 47 345 3,162 3,162 58,254 1,649 1,547 1,567 3,343 141 203 3,107 9,113 3,197 4,492 7,726 329 1,622 5,625 14,479 114 10,579 10,579 6,530 6,530 5,838 5,838 140,347 16,457 6,491 9,966 123,890 –10,538 3,918 5,039 13,027 1,218 504 24,945 3,642 29,551 26,112 9,570 10,264 1,480 1,392 543 182 846 1,432 498 265 2,431 1,793 453 185 2,474 2,474



2000 86,339 86,339 142,680 31,709 110,971 56,348 7,578 1,864 3,340 43,566 198,809 198,809 51,032 51,032 55,771 9,344 3,332 43,095 65,536 65,536 719,539 9,175 17,422 14,761 23,076 4,217 3,362 26,631 97,051 63,758 81,858 92,248 5,778 42,539 29,054 204,041 4,568 172,309 172,309 103,775 103,775 53,748 53,748 2,661,028 596,754 109,503 487,251 2,064,274 309,496 40,318 65,039 428,714 118,175 6,838 545,232 29,908 99,051 152,081 48,030 47,959 16,414 80,135 12,386 6,112 10,221 19,076 5,731 23,358 88,541 69,078 12,895 6,568 72,256 72,256



2004 5,009 5,009 7,512 1,782 5,730 2,139 284 63 130 1,662 12,258 12,258 3,696 3,696 3,261 700 194 2,367 4,552 4,552 32,260 318 562 538 839 133 144 863 3,883 3,304 4,053 5,431 175 2,489 1,371 7,796 361 20,984 20,984 5,861 5,861 2,265 2,265 103,874 19,394 3,732 15,662 84,480 24,493 1,455 2,358 20,281 3,071 201 15,396 872 2,945 4,912 1,467 1,475 576 2,332 350 204 540 630 170 752 4,327 3,521 547 259 3,218 3,218



2000 2004 2000 3,767 3,767 5,626 1,345 4,281 2,521 350 64 164 1,943 9,033 9,033 2,617 2,617 2,161 436 126 1,599 3,800 3,800 18,164 255 336 320 453 92 97 518 2,213 1,720 2,136 3,016 106 1,446 728 4,530 198 17,904 17,904 4,279 4,279 1,825 1,825 72,759 15,728 2,961 12,767 57,031 17,663 1,211 1,917 15,770 1,850 108 8,880 462 1,404 2,687 819 809 332 1,422 167 98 235 320 80 797 2,487 1,999 331 157 2,349 2,349 5.3 5.3 5.3 5.7 5.2 3.5 3.6 3.0 3.6 3.5 5.9 5.9 6.6 6.6 5.8 7.5 5.7 5.4 6.6 6.6 4.1 2.9 3.0 3.3 3.2 3.1 4.0 2.9 3.7 4.9 4.7 5.4 2.9 5.6 4.0 3.6 7.7 11.5 11.5 5.3 5.3 3.8 3.8 3.7 3.2 3.2 3.1 3.9 8.2 3.3 3.4 4.6 2.6 2.7 2.7 2.6 2.3 2.8 2.5 2.5 3.2 2.9 2.7 3.2 4.9 3.1 2.7 3.2 4.8 5.0 4.1 3.8 4.3 4.3 4.4 4.4 3.9 4.2 3.9 4.5 4.6 3.4 4.9 4.5 4.5 4.5 5.1 5.1 3.9 4.7 3.8 3.7 5.8 5.8 2.5 2.8 1.9 2.2 2.0 2.2 2.9 1.9 2.3 2.7 2.6 3.3 1.8 3.4 2.5 2.2 4.3 10.4 10.4 4.1 4.1 3.4 3.4 2.7 2.6 2.7 2.6 2.8 5.7 3.0 2.9 3.7 1.6 1.6 1.6 1.5 1.4 1.8 1.7 1.7 2.0 1.8 1.3 1.6 2.3 1.7 1.4 3.4 2.8 2.9 2.6 2.4 3.3 3.3



Net change, 2000– 2002 2002 5,040 5,040 6,218 1,177 5,041 2,844 200 15 113 2,516 6,820 6,820 3,580 3,580 2,742 421 112 2,209 3,113 3,113 35,284 537 862 551 1,179 223 76 1,275 4,732 2,449 3,714 5,604 188 1,784 1,174 10,267 669 6,009 6,009 4,821 4,821 2,093 2,093 129,718 31,258 5,434 25,824 98,460 19,930 1,631 2,665 14,211 5,298 351 25,987 1,686 5,449 5,324 1,722 1,644 775 4,609 2,289 865 1,474 1,456 259 835 4,075 3,144 626 305 3,321 3,321 179 179 69 –6 75 98 –8 3 –5 108 315 315 128 128 12 10 2 87 87 810 86 54 22 143 8 –8 93 233 –2 20 145 11 105 19 10 –129 83 83 –19 –19 127 127 4,445 689 496 193 3,756 275 141 257 383 71 50 407 171 940 941 381 199 15 –32 121 –2 –195 –493 97 29 –43 –25 –15 –3 –116 –116



2002 76,492 76,492 100,070 13,240 86,830 41,362 1,914 56 745 38,647 105,894 105,894 38,619 38,619 36,748 7,084 811 28,853 47,471 47,471 583,509 3,912 6,486 10,615 15,183 1,210 1,344 13,301 78,465 47,343 82,201 118,129 1,370 27,196 17,052 143,404 16,298 80,663 80,663 88,422 88,422 31,223 31,223 2,216,101 470,137 78,558 391,579 1,745,964 418,755 15,893 32,626 253,508 111,895 3,579 494,893 15,199 93,004 69,901 23,693 20,966 7,897 81,256 31,552 15,736 21,256 20,083 3,496 10,776 69,582 59,300 7,468 2,814 63,252 63,252



Net change, 2000– 2002 2,594 2,594 –1,605 –643 –962 1,830 –475 33 –237 2,509 11,375 11,375 16 16 –1,514 –971 99 –642 1,647 1,647 2,901 775 201 1,040 2,834 –2 –66 –644 2,015 –1,392 –2,676 1,206 –43 1,558 743 –1,807 –841 3,501 3,501 –2,241 –2,241 4,504 4,504 22,314 –6,357 6,214 –12,571 28,671 3,772 971 3,193 2,814 –2,845 302 –14,248 1,666 24,969 7,942 5,535 3,088 –158 –257 –2,672 355 –2,534 –4,240 975 43 –1,643 –1,026 –562 –55 –385 –385



Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . Solano County, CA . . . . . . . . . . . . . . . . . . . . . Vero Beach, FL . . . . . . . . Indian River County, FL . Victoria, TX. . . . . . . . . . . Calhoun County, TX . . . Goliad County, TX. . . . . Victoria County, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . Cumberland County, NJ . . . . . . . . . . . . . . Virginia Beach-Norfolk-Newport News, VA-NC. Currituck County, NC. . . . . . . . . . . . . . . . Gloucester County, VA. . . . . . . . . . . . . . . Isle of Wight County, VA . . . . . . . . . . . . . James City County, VA . . . . . . . . . . . . . . Mathews County, VA . . . . . . . . . . . . . . . . Surry County, VA . . . . . . . . . . . . . . . . . . York County, VA . . . . . . . . . . . . . . . . . . . Chesapeake city, VA . . . . . . . . . . . . . . . . Hampton city, VA . . . . . . . . . . . . . . . . . . Newport News city, VA. . . . . . . . . . . . . . . Norfolk city, VA. . . . . . . . . . . . . . . . . . . . Poquoson city, VA. . . . . . . . . . . . . . . . . . Portsmouth city, VA . . . . . . . . . . . . . . . . . Suffolk city, VA . . . . . . . . . . . . . . . . . . . . Virginia Beach city, VA . . . . . . . . . . . . . . . Williamsburg city, VA . . . . . . . . . . . . . . . . Visalia-Porterville, CA . . . . . . . . . . . . . . . . . Tulare County, CA. . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . McLennan County, TX . . . . . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . . . . . . . . Houston County, GA . . . . . . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . . . . . . . . . . . . . . . Bethesda-Gaithersburg-Frederick, MD . . . . Frederick County, MD . . . . . . . . . . . . . . Montgomery County, MD. . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . . . . . . . . . . . . . . District of Columbia, DC . . . . . . . . . . . . Calvert County, MD . . . . . . . . . . . . . . . Charles County, MD . . . . . . . . . . . . . . . Prince George’s County, MD . . . . . . . . . Arlington County, VA . . . . . . . . . . . . . . Clarke County, VA . . . . . . . . . . . . . . . . Fairfax County, VA . . . . . . . . . . . . . . . . Fauquier County, VA . . . . . . . . . . . . . . Loudoun County, VA. . . . . . . . . . . . . . . Prince William County, VA . . . . . . . . . . . Spotsylvania County, VA . . . . . . . . . . . . Stafford County, VA . . . . . . . . . . . . . . . Warren County, VA. . . . . . . . . . . . . . . . Alexandria city, VA . . . . Fairfax city, VA . . . . . . Falls Church city, VA . . Fredericksburg city, VA . Manassas city, VA . . . . Manassas Park city, VA Jefferson County, WV . . Waterloo-Cedar Falls, IA . Black Hawk County, IA Bremer County, IA . . . Grundy County, IA . . . Wausau, WI . . . . . . . . . Marathon County, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



266



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U.S. Census Bureau



Table C-4. Metropolitan Areas With Component Counties — Civilian Labor Force and Private Nonfarm Businesses—Con.

Civilian labor force Number of unemployed Unemployment rate1 Private nonfarm businesses Annual payroll per employee, 2002 Percent of national Amount aver(dollars) age 27,867 26,577 35,716 21,874 28,055 28,572 25,484 24,468 21,981 27,192 25,596 31,602 23,819 25,755 32,525 21,432 24,739 23,715 24,000 24,771 25,711 25,711 27,009 25,743 27,731 21,308 28,788 26,932 31,354 19,256 32,836 24,041 34,135 22,426 22,997 35,155 35,155 27,766 27,766 30,415 30,415 27,985 26,974 30,619 25,558 27,829 28,178 27,080 21,320 21,320 79.4 75.8 101.8 62.4 80.0 81.4 72.6 69.7 62.7 77.5 73.0 90.1 67.9 73.4 92.7 61.1 70.5 67.6 68.4 70.6 73.3 73.3 77.0 73.4 79.0 60.7 82.1 76.8 89.4 54.9 93.6 68.5 97.3 63.9 65.6 100.2 100.2 79.1 79.1 86.7 86.7 79.8 76.9 87.3 72.9 79.3 80.3 77.2 60.8 60.8



Metropolitan statistical area Metropolitan statistical area with metropolitan divisions Metropolitan division Component county



Total



Establishments



Employment2



2004 Weirton-Steubenville, WV-OH. Jefferson County, OH . . . . Brooke County, WV. . . . . . Hancock County, WV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,099 32,094 11,206 14,799 59,577 39,701 19,876 67,662 31,848 14,970 20,844 304,798 31,329 17,784 243,225 12,460 74,452 5,219 6,278 62,955 60,753 60,753 154,626 40,029 93,655 20,942 59,987 36,776 13,767 9,444 230,040 19,280 167,214 24,064 19,482 400,729 400,729 119,787 119,787 216,502 216,502 280,415 118,023 106,456 55,936 65,824 40,270 25,554 73,938 73,938



Net change, 2000– 2004 –992 509 –603 –898 4,856 3,095 1,761 –1,585 962 –925 –1,622 7,049 875 289 6,222 –337 2,712 353 332 2,027 1,502 1,502 12,608 4,714 6,326 1,568 5,257 4,182 982 93 7,720 916 6,098 223 483 12,785 12,785 6,389 6,389 7,571 7,571 –2,960 –1,702 –578 –680 3,554 2,345 1,209 9,568 9,568



2000 59,091 31,585 11,809 15,697 54,721 36,606 18,115 69,247 30,886 15,895 22,466 297,749 30,454 17,495 237,003 12,797 71,740 4,866 5,946 60,928 59,251 59,251 142,018 35,315 87,329 19,374 54,730 32,594 12,785 9,351 222,320 18,364 161,116 23,841 18,999 387,944 387,944 113,398 113,398 208,931 208,931 283,375 119,725 107,034 56,616 62,270 37,925 24,345 64,370 64,370



2004 4,521 2,570 822 1,129 4,006 2,749 1,257 4,087 2,126 903 1,058 18,780 1,904 883 15,196 797 3,844 195 251 3,398 3,782 3,782 7,153 2,074 4,077 1,002 1,903 1,039 443 421 11,564 945 8,335 1,274 1,010 21,936 21,936 10,339 10,339 9,960 9,960 20,303 8,727 7,959 3,617 6,719 4,247 2,472 11,415 11,415



2000 2004 2000 3,042 1,800 536 706 3,495 2,384 1,111 3,766 1,871 902 993 12,430 1,248 635 9,945 602 3,182 154 210 2,818 2,567 2,567 5,634 1,612 3,219 803 1,249 661 283 305 7,514 778 5,211 841 684 10,463 10,463 8,713 8,713 6,980 6,980 14,186 6,063 5,320 2,803 5,492 3,559 1,933 10,662 10,662 7.8 8.0 7.3 7.6 6.7 6.9 6.3 6.0 6.7 6.0 5.1 6.2 6.1 5.0 6.2 6.4 5.2 3.7 4.0 5.4 6.2 6.2 4.6 5.2 4.4 4.8 3.2 2.8 3.2 4.5 5.0 4.9 5.0 5.3 5.2 5.5 5.5 8.6 8.6 4.6 4.6 7.2 7.4 7.5 6.5 10.2 10.5 9.7 15.4 15.4 5.1 5.7 4.5 4.5 6.4 6.5 6.1 5.4 6.1 5.7 4.4 4.2 4.1 3.6 4.2 4.7 4.4 3.2 3.5 4.6 4.3 4.3 4.0 4.6 3.7 4.1 2.3 2.0 2.2 3.3 3.4 4.2 3.2 3.5 3.6 2.7 2.7 7.7 7.7 3.3 3.3 5.0 5.1 5.0 5.0 8.8 9.4 7.9 16.6 16.6



Net change, 2000– 2002 2002 2,654 1,555 437 662 2,870 2,278 592 3,699 1,608 539 1,552 14,715 1,282 820 12,070 543 3,584 144 129 3,311 2,849 2,849 8,847 1,903 6,163 781 2,857 1,201 1,303 353 10,537 725 8,532 638 642 18,294 18,294 4,693 4,693 8,402 8,402 14,056 6,311 4,724 3,021 2,538 1,712 826 2,560 2,560 –30 –8 –10 –12 45 –7 52 –67 –19 –15 –33 183 1 2 182 –2 –27 –7 1 –21 –30 –30 457 220 153 84 94 16 58 20 77 33 39 30 –25 380 380 –66 –66 204 204 –67 –130 –6 69 50 62 –12 23 23



2002 41,634 21,116 10,851 9,667 28,185 23,460 4,725 53,917 19,921 7,001 26,995 254,068 11,766 12,031 225,716 4,555 48,200 757 927 46,516 46,941 46,941 99,823 17,488 76,529 5,806 48,613 20,661 25,193 2,759 192,949 9,303 169,843 5,503 8,300 291,262 291,262 59,160 59,160 157,700 157,700 210,102 90,070 75,541 44,491 28,026 19,112 8,914 36,268 36,268



Net change, 2000– 2002 –2,390 –1,210 3,324 –4,504 –229 –760 531 718 450 276 –8 –5,499 –228 315 –5,280 –306 –471 42 –78 –435 –2,506 –2,506 –865 –188 –910 233 3,416 1,844 1,585 –13 –4,633 460 –4,656 –71 –366 –2,116 –2,116 –1,104 –1,104 4,609 4,609 –24,014 –9,705 –12,394 –1,915 1,790 1,849 –59 5,035 5,035



Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . Chelan County, WA . . . . . . . . . . . . . . . . . . . . . Douglas County, WA . . . . . . . . . . . . . . . . . . . . Wheeling, WV-OH . . . . . . . . . Belmont County, OH . . . . . . Marshall County, WV . . . . . . Ohio County, WV . . . . . . . . Wichita, KS. . . . . . . . . . . . . . Butler County, KS . . . . . . . . Harvey County, KS . . . . . . . Sedgwick County, KS . . . . . Sumner County, KS. . . . . . . Wichita Falls, TX . . . . . . . . . . Archer County, TX . . . . . . . Clay County, TX . . . . . . . . . Wichita County, TX . . . . . . . Williamsport, PA . . . . . . . . . . Lycoming County, PA. . . . . . Wilmington, NC . . . . . . . . . . . Brunswick County, NC . . . . . New Hanover County, NC . . Pender County, NC . . . . . . . Winchester, VA-WV . . . . . . . . Frederick County, VA. . . . . . Winchester city, VA . . . . . . . Hampshire County, WV . . . . Winston-Salem, NC . . . . . . . . Davie County, NC . . . . . . . . Forsyth County, NC. . . . . . . Stokes County, NC . . . . . . . Yadkin County, NC . . . . . . . Worcester, MA . . . . . . . . . . . Worcester County, MA . . . . . Yakima, WA . . . . . . . . . . . . . Yakima County, WA. . . . . . . York-Hanover, PA . . . . . . . . . York County, PA . . . . . . . . . Youngstown-Warren-Boardman, Mahoning County, OH . . . . . Trumbull County, OH . . . . . . Mercer County, PA . . . . . . . Yuba City, CA . . . . . . . . . . . . Sutter County, CA . . . . . . . . Yuba County, CA . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . . Yuma County, AZ . . . . . . . . – Represents zero.

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D Data withheld to avoid disclosure.



X Not applicable.



Civilian unemployed as percent of total civilian labor force. 2 For pay period including March 12 of the year shown. 3 The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield city is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 4 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA. Note: Covers metropolitan statistical areas and metropolitan divisions and component counties defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . Survey, Census, or Data Collection Method: Civilian labor force data are based on Local Area Unemployment Statistics methodology at (released 10 March 2005). For data extracted from the U.S. Census Bureau’s County Business Patterns, see Internet site and Appendix B, Limitations of the Data and Methodology. Sources: Civilian labor force—U.S. Bureau of Labor Statistics, Local Area Unemployment Statistics, Annual Averages; see Internet site (accessed 18 August 2005); Private nonfarm businesses—U.S. Census Bureau, County Business Patterns on CD-ROM; annual.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



267



Micropolitan Areas

Page

Note: Table D presents data for the 575 micropolitan areas defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . For additional information, see Appendix C, Geographic Concepts and Codes.



Table D



You may visit us on the Web at http://www.census.gov/compendia/smadb



Table D



Micropolitan Areas



270



Population and Personal Income



Table D-1. Micropolitan Areas — Population and Personal Income

Population Micropolitan statistical area Component counties 2005 (July 1) Abbeville, LA. . . . . . . . Vermilion Parish, LA . Aberdeen, SD . . . . . . . Brown County, SD . . Edmunds County, SD Aberdeen, WA. . . . . . . Grays Harbor County, Ada, OK. . . . . . . . . . . Pontotoc County, OK. Adrian, MI . . . . . . . . . Lenawee County, MI . Alamogordo, NM . . . . . Otero County, NM. . . Albany-Lebanon, OR . . Linn County, OR. . . . Albemarle, NC. . . . . . . Stanly County, NC . . Albert Lea, MN . . . . . . Freeborn County, MN ... ... ... ... ... ... WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,195 55,195 38,818 34,706 4,112 70,900 70,900 35,346 35,346 102,033 102,033 63,538 63,538 108,914 108,914 58,964 58,964 31,946 31,946 85,634 85,634 51,879 11,162 40,717 35,138 35,138 40,951 40,951 113,174 113,174 42,345 42,345 30,428 30,428 26,518 26,518 37,034 4,122 32,912 48,968 48,968 12,748 12,748 33,773 33,773 35,406 35,406 56,251 47,125 9,126 22,916 22,916 54,123 54,123 103,221 103,221 36,798 36,798 16,804 16,804 62,062 62,062 51,327 51,327 80,017 80,017 41,659 41,659 81,454 81,454 120,986 120,986 38,799 38,799 28,618 28,618 57,746 57,746 59,478 59,478 49,149 49,149 29,989 29,989 2004 (July 1) 54,624 54,624 38,829 34,733 4,096 70,335 70,335 35,059 35,059 101,762 101,762 63,571 63,571 107,219 107,219 58,721 58,721 31,986 31,986 84,767 84,767 52,080 11,306 40,774 34,588 34,588 40,811 40,811 112,205 112,205 42,321 42,321 30,682 30,682 27,100 27,100 37,138 4,032 33,106 49,121 49,121 12,858 12,858 33,657 33,657 34,842 34,842 55,986 46,906 9,080 23,055 23,055 53,897 53,897 102,992 102,992 36,300 36,300 16,860 16,860 62,200 62,200 50,832 50,832 79,287 79,287 41,420 41,420 81,445 81,445 120,150 120,150 38,951 38,951 28,562 28,562 57,089 57,089 59,118 59,118 49,066 49,066 30,383 30,383 Net change 20001 (estimates base) 53,953 53,953 39,730 35,377 4,353 67,200 67,200 35,143 35,143 99,127 99,127 62,245 62,245 103,054 103,054 58,187 58,187 32,555 32,555 82,313 82,313 53,593 11,883 41,710 32,910 32,910 39,389 39,389 106,128 106,128 42,314 42,314 31,293 31,293 28,256 28,256 37,031 3,784 33,247 49,680 49,680 12,938 12,938 33,310 33,310 32,303 32,303 54,423 45,597 8,826 23,500 23,500 52,570 52,570 102,788 102,788 35,590 35,590 16,760 16,760 62,306 62,306 49,176 49,176 73,593 73,593 40,404 40,404 81,942 81,942 117,224 117,224 38,702 38,702 28,243 28,243 55,349 55,349 58,073 58,073 48,996 48,996 30,983 30,983 19902 (April 1) 50,055 50,055 39,936 35,580 4,356 64,175 64,175 34,119 34,119 91,476 91,476 51,928 51,928 91,227 91,227 51,765 51,765 33,060 33,060 70,832 70,832 49,889 11,063 38,826 28,674 28,674 37,679 37,679 90,509 90,509 38,982 38,982 30,605 30,605 28,764 28,764 33,816 3,588 30,228 51,981 51,981 14,338 14,338 27,446 27,446 23,865 23,865 51,076 42,919 8,157 21,437 21,437 47,507 47,507 99,821 99,821 33,301 33,301 16,932 16,932 59,549 59,549 42,383 42,383 58,543 58,543 35,324 35,324 82,313 82,313 115,904 115,904 37,385 37,385 25,511 25,511 46,975 46,975 54,928 54,928 48,066 48,066 31,938 31,938 2000– 2005 1,242 1,242 −912 −671 −241 3,700 3,700 203 203 2,906 2,906 1,293 1,293 5,860 5,860 777 777 −609 −609 3,321 3,321 −1,714 −721 −993 2,228 2,228 1,562 1,562 7,046 7,046 31 31 −865 −865 −1,738 −1,738 3 338 −335 −712 −712 −190 −190 463 463 3,103 3,103 1,828 1,528 300 −584 −584 1,553 1,553 433 433 1,208 1,208 44 44 −244 −244 2,151 2,151 6,424 6,424 1,255 1,255 −488 −488 3,762 3,762 97 97 375 375 2,397 2,397 1,405 1,405 153 153 −994 −994 1990– 2000 3,898 3,898 −206 −203 −3 3,025 3,025 1,024 1,024 7,651 7,651 10,317 10,317 11,827 11,827 6,422 6,422 −505 −505 11,481 11,481 3,704 820 2,884 4,236 4,236 1,710 1,710 15,619 15,619 3,332 3,332 688 688 −508 −508 3,215 196 3,019 −2,301 −2,301 −1,400 −1,400 5,864 5,864 8,438 8,438 3,347 2,678 669 2,063 2,063 5,063 5,063 2,967 2,967 2,289 2,289 −172 −172 2,757 2,757 6,793 6,793 15,050 15,050 5,080 5,080 −371 −371 1,320 1,320 1,317 1,317 2,732 2,732 8,374 8,374 3,145 3,145 930 930 −955 −955 Percent change 2000– 2005 2.3 2.3 −2.3 −1.9 −5.5 5.5 5.5 0.6 0.6 2.9 2.9 2.1 2.1 5.7 5.7 1.3 1.3 −1.9 −1.9 4.0 4.0 −3.2 −6.1 −2.4 6.8 6.8 4.0 4.0 6.6 6.6 0.1 0.1 −2.8 −2.8 −6.2 −6.2 0.0 8.9 −1.0 −1.4 −1.4 −1.5 −1.5 1.4 1.4 9.6 9.6 3.4 3.4 3.4 −2.5 −2.5 3.0 3.0 0.4 0.4 3.4 3.4 0.3 0.3 −0.4 −0.4 4.4 4.4 8.7 8.7 3.1 3.1 −0.6 −0.6 3.2 3.2 0.3 0.3 1.3 1.3 4.3 4.3 2.4 2.4 0.3 0.3 −3.2 −3.2 1990– 2000 7.8 7.8 −0.5 −0.6 −0.1 4.7 4.7 3.0 3.0 8.4 8.4 19.9 19.9 13.0 13.0 12.4 12.4 −1.5 −1.5 16.2 16.2 7.4 7.4 7.4 14.8 14.8 4.5 4.5 17.3 17.3 8.5 8.5 2.2 2.2 −1.8 −1.8 9.5 5.5 10.0 −4.4 −4.4 −9.8 −9.8 21.4 21.4 35.4 35.4 6.6 6.2 8.2 9.6 9.6 10.7 10.7 3.0 3.0 6.9 6.9 −1.0 −1.0 4.6 4.6 16.0 16.0 25.7 25.7 14.4 14.4 −0.5 −0.5 1.1 1.1 3.5 3.5 10.7 10.7 17.8 17.8 5.7 5.7 1.9 1.9 −3.0 −3.0 Total (mil. dol.) Personal income Per capita3 (dollars) Percent change 2000– 2002 6.5 6.5 8.0 9.2 −1.4 7.0 7.0 3.7 3.7 2.4 2.4 14.3 14.3 8.4 8.4 1.2 1.2 5.5 5.5 13.4 13.4 5.0 5.1 4.9 7.9 7.9 10.3 10.3 4.4 4.4 8.1 8.1 2.5 2.5 8.9 8.9 6.9 1.1 7.5 5.5 5.5 5.3 5.3 −1.7 −1.7 9.1 9.1 1.4 (Z) 10.6 10.6 10.6 2.9 2.9 4.3 4.3 4.2 4.2 5.4 5.4 13.7 13.7 6.4 6.4 7.1 7.1 5.1 5.1 7.5 7.5 8.6 8.6 7.5 7.5 5.6 5.6 8.4 8.4 10.1 10.1 7.6 7.6 5.8 5.8



2002 1,073.1 1,073.1 1,198.2 1,078.5 119.7 1,578.1 1,578.1 754.9 754.9 2,638.2 2,638.2 1,204.7 1,204.7 2,524.6 2,524.6 1,362.7 1,362.7 823.1 823.1 2,010.7 2,010.7 1,157.5 227.9 929.6 895.2 895.2 810.5 810.5 2,924.5 2,924.5 916.7 916.7 748.1 748.1 645.3 645.3 828.0 75.7 752.3 1,259.3 1,259.3 278.7 278.7 834.5 834.5 579.9 579.9 1,247.0 1,066.3 180.7 489.1 489.1 1,209.4 1,209.4 2,403.1 2,403.1 898.1 898.1 361.7 361.7 1,266.8 1,266.8 1,073.9 1,073.9 1,796.0 1,796.0 1,080.4 1,080.4 1,999.1 1,999.1 3,238.8 3,238.8 1,052.9 1,052.9 594.3 594.3 1,581.0 1,581.0 1,815.0 1,815.0 1,475.6 1,475.6 596.9 596.9



2000 1,007.5 1,007.5 1,109.4 988.0 121.4 1,475.2 1,475.2 728.1 728.1 2,577.1 2,577.1 1,053.7 1,053.7 2,328.0 2,328.0 1,346.0 1,346.0 780.3 780.3 1,773.6 1,773.6 1,102.8 216.9 885.8 829.9 829.9 734.7 734.7 2,801.3 2,801.3 848.3 848.3 730.2 730.2 592.4 592.4 774.4 74.9 699.5 1,193.3 1,193.3 264.7 264.7 849.2 849.2 531.5 531.5 1,229.6 1,066.3 163.3 442.1 442.1 1,175.3 1,175.3 2,304.9 2,304.9 861.8 861.8 343.0 343.0 1,113.8 1,113.8 1,009.2 1,009.2 1,677.2 1,677.2 1,027.9 1,027.9 1,859.8 1,859.8 2,981.1 2,981.1 979.1 979.1 562.9 562.9 1,458.3 1,458.3 1,649.0 1,649.0 1,371.1 1,371.1 564.3 564.3



2002 19,842 19,842 30,610 30,925 28,035 22,986 22,986 21,638 21,638 26,276 26,276 19,459 19,459 24,067 24,067 23,193 23,193 25,659 25,659 24,172 24,172 21,996 19,661 22,656 26,594 26,594 20,242 20,242 26,769 26,769 21,661 21,661 24,151 24,151 23,566 23,566 22,289 19,262 22,647 25,546 25,546 21,564 21,564 24,913 24,913 17,613 17,613 22,702 23,145 20,394 20,795 20,795 22,744 22,744 23,335 23,335 25,196 25,196 21,596 21,596 19,885 19,885 21,407 21,407 23,796 23,796 26,551 26,551 24,526 24,526 27,324 27,324 27,149 27,149 21,162 21,162 28,298 28,298 30,831 30,831 30,028 30,028 19,560 19,560



2000 18,730 18,730 27,928 27,932 27,895 21,957 21,957 20,718 20,718 26,003 26,003 16,916 16,916 22,598 22,598 23,135 23,135 23,968 23,968 21,549 21,549 20,581 18,258 21,243 25,221 25,221 18,656 18,656 26,401 26,401 20,049 20,049 23,335 23,335 20,958 20,958 20,913 19,794 21,040 24,021 24,021 20,465 20,465 25,493 25,493 16,459 16,459 22,596 23,389 18,502 18,809 18,809 22,359 22,359 22,428 22,428 24,213 24,213 20,469 20,469 17,854 17,854 20,521 20,521 22,793 22,793 25,445 25,445 22,698 22,698 25,434 25,434 25,299 25,299 19,928 19,928 26,348 26,348 28,393 28,393 27,988 27,988 18,215 18,215



Albertville, AL . . . . . . . . Marshall County, AL . . Alexander City, AL . . . . . Coosa County, AL. . . . Tallapoosa County, AL . Alexandria, MN . . . . . . . Douglas County, MN . . Alice, TX . . . . . . . . . . Jim Wells County, TX Allegan, MI . . . . . . . . . Allegan County, MI . . Alma, MI . . . . . . . . . . Gratiot County, MI . . Alpena, MI . . . . . . . . . Alpena County, MI . . Altus, OK . . . . . . . . . . Jackson County, OK . Americus, GA . . . . . . . Schley County, GA . . Sumter County, GA. . . . . . . . . . . . . . .



Amsterdam, NY . . . . . . . . Montgomery County, NY Andrews, TX . . . . . . . . . . Andrews County, TX . . . Angola, IN . . . . . . . . . . . Steuben County, IN. . . . Arcadia, FL. . . . . . . . DeSoto County, FL . Ardmore, OK. . . . . . . Carter County, OK . Love County, OK . . Arkadelphia, AR. . . . . Clark County, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Ashland, OH . . . . . . . . . Ashland County, OH . . Ashtabula, OH . . . . . . . Ashtabula County, OH . Astoria, OR. . . . . . . . . . Clatsop County, OR . . Atchison, KS . . . . . . . . . Atchison County, KS . . Athens, OH . . . . . . . . . Athens County, OH . . . Athens, TN . . . . . . . . . . McMinn County, TN . . Athens, TX . . . . . . . . Henderson County, TX Auburn, IN . . . . . . . . . . De Kalb County, IN . . . Auburn, NY. . . . . . . . . . Cayuga County, NY . . Augusta-Waterville, ME. . Kennebec County, ME. Austin, MN . . . . . . . . Mower County, MN . Bainbridge, GA . . . . . Decatur County, GA Baraboo, WI . . . . . . . Sauk County, WI . . . . . . . . . . . . . .



Barre, VT . . . . . . . . . . . . Washington County, VT . Bartlesville, OK . . . . . . . . Washington County, OK. Bastrop, LA . . . . . . . . . . Morehouse Parish, LA . .



See footnotes at end of table.



270



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table D-1. Micropolitan Areas — Population and Personal Income—Con.

Population Micropolitan statistical area Component counties 2005 (July 1) Batavia, NY . . . . . . . . . . . Genesee County, NY . . . Batesville, AR . . . . . . . . . . Independence County, AR Bay City, TX . . . . . . . . . . . Matagorda County, TX. . . Beatrice, NE . . . . . . . Gage County, NE . . Beaver Dam, WI . . . . Dodge County, WI . Beckley, WV . . . . . . . Raleigh County, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,257 59,257 34,737 34,737 37,849 37,849 23,306 23,306 88,103 88,103 79,167 79,167 46,403 46,403 32,873 32,873 46,580 46,580 42,871 42,871 28,021 28,021 36,999 36,999 40,257 33,655 6,602 42,391 42,391 32,522 32,522 18,156 18,156 43,739 43,739 82,971 64,939 18,032 106,384 44,795 61,589 47,911 47,911 44,623 44,623 33,142 33,142 26,602 26,602 42,472 42,472 22,484 22,484 78,210 78,210 44,370 44,370 88,827 28,910 59,917 73,916 30,931 42,985 31,521 31,521 29,626 29,626 46,440 46,440 33,906 33,906 22,427 22,427 28,121 28,121 19,656 19,656 38,664 38,664 2004 (July 1) 59,608 59,608 34,622 34,622 38,027 38,027 23,404 23,404 87,913 87,913 79,195 79,195 46,233 46,233 33,018 33,018 46,544 46,544 42,286 42,286 28,328 28,328 37,022 37,022 40,144 33,504 6,640 42,159 42,159 32,804 32,804 18,247 18,247 43,187 43,187 82,934 64,939 17,995 106,561 44,634 61,927 48,377 48,377 44,096 44,096 32,588 32,588 26,436 26,436 42,442 42,442 22,616 22,616 75,632 75,632 44,740 44,740 87,653 28,457 59,196 72,605 30,638 41,967 31,161 31,161 29,450 29,450 45,966 45,966 33,708 33,708 22,147 22,147 28,045 28,045 19,689 19,689 38,257 38,257 Net change 20001 (estimates base) 60,336 60,336 34,293 34,293 37,957 37,957 22,986 22,986 86,020 86,020 79,092 79,092 45,949 45,949 32,270 32,270 46,017 46,017 39,786 39,786 28,816 28,816 36,992 36,992 39,620 33,157 6,463 40,651 40,651 33,465 33,465 17,925 17,925 41,812 41,812 82,361 64,108 18,253 107,398 44,455 62,943 51,852 51,852 43,907 43,907 31,379 31,379 26,254 26,254 42,747 42,747 23,779 23,779 68,276 68,276 45,802 45,802 82,635 27,301 55,334 68,656 28,739 39,917 30,433 30,433 29,379 29,379 42,885 42,885 33,176 33,176 21,123 21,123 28,264 28,264 19,825 19,825 37,716 37,716 19902 (April 1) 60,060 60,060 31,192 31,192 36,928 36,928 22,794 22,794 76,559 76,559 76,819 76,819 42,836 42,836 25,135 25,135 42,310 42,310 34,384 34,384 29,361 29,361 35,845 35,845 41,233 34,828 6,405 37,308 37,308 32,343 32,343 18,281 18,281 37,583 37,583 80,937 63,202 17,735 110,940 45,960 64,980 57,525 57,525 43,185 43,185 24,804 24,804 25,186 25,186 36,952 36,952 25,689 25,689 50,463 50,463 47,131 47,131 66,040 21,791 44,249 44,639 19,078 25,561 26,154 26,154 25,520 25,520 36,485 36,485 30,278 30,278 19,327 19,327 25,207 25,207 19,437 19,437 34,371 34,371 2000– 2005 −1,079 −1,079 444 444 −108 −108 320 320 2,083 2,083 75 75 454 454 603 603 563 563 3,085 3,085 −795 −795 7 7 637 498 139 1,740 1,740 −943 −943 231 231 1,927 1,927 610 831 −221 −1,014 340 −1,354 −3,941 −3,941 716 716 1,763 1,763 348 348 −275 −275 −1,295 −1,295 9,934 9,934 −1,432 −1,432 6,192 1,609 4,583 5,260 2,192 3,068 1,088 1,088 247 247 3,555 3,555 730 730 1,304 1,304 −143 −143 −169 −169 948 948 1990– 2000 276 276 3,101 3,101 1,029 1,029 192 192 9,461 9,461 2,273 2,273 3,113 3,113 7,135 7,135 3,707 3,707 5,402 5,402 −545 −545 1,147 1,147 −1,613 −1,671 58 3,343 3,343 1,122 1,122 −356 −356 4,229 4,229 1,424 906 518 −3,542 −1,505 −2,037 −5,673 −5,673 722 722 6,575 6,575 1,068 1,068 5,795 5,795 −1,910 −1,910 17,813 17,813 −1,329 −1,329 16,595 5,510 11,085 24,017 9,661 14,356 4,279 4,279 3,859 3,859 6,400 6,400 2,898 2,898 1,796 1,796 3,057 3,057 388 388 3,345 3,345 Percent change 2000– 2005 −1.8 −1.8 1.3 1.3 −0.3 −0.3 1.4 1.4 2.4 2.4 0.1 0.1 1.0 1.0 1.9 1.9 1.2 1.2 7.8 7.8 −2.8 −2.8 0.0 0.0 1.6 1.5 2.2 4.3 4.3 −2.8 −2.8 1.3 1.3 4.6 4.6 0.7 1.3 −1.2 −0.9 0.8 −2.2 −7.6 −7.6 1.6 1.6 5.6 5.6 1.3 1.3 −0.6 −0.6 −5.4 −5.4 14.5 14.5 −3.1 −3.1 7.5 5.9 8.3 7.7 7.6 7.7 3.6 3.6 0.8 0.8 8.3 8.3 2.2 2.2 6.2 6.2 −0.5 −0.5 −0.9 −0.9 2.5 2.5 1990– 2000 0.5 0.5 9.9 9.9 2.8 2.8 0.8 0.8 12.4 12.4 3.0 3.0 7.3 7.3 28.4 28.4 8.8 8.8 15.7 15.7 −1.9 −1.9 3.2 3.2 −3.9 −4.8 0.9 9.0 9.0 3.5 3.5 −1.9 −1.9 11.3 11.3 1.8 1.4 2.9 −3.2 −3.3 −3.1 −9.9 −9.9 1.7 1.7 26.5 26.5 4.2 4.2 15.7 15.7 −7.4 −7.4 35.3 35.3 −2.8 −2.8 25.1 25.3 25.1 53.8 50.6 56.2 16.4 16.4 15.1 15.1 17.5 17.5 9.6 9.6 9.3 9.3 12.1 12.1 2.0 2.0 9.7 9.7 Total (mil. dol.) Personal income Per capita3 (dollars) Percent change 2000– 2002 4.5 4.5 8.2 8.2 3.7 3.7 6.3 6.3 1.7 1.7 11.1 11.1 3.9 3.9 5.1 5.1 2.5 2.5 14.7 14.7 5.9 5.9 10.2 10.2 3.9 3.9 3.6 7.9 7.9 6.3 6.3 10.2 10.2 9.6 9.6 10.1 11.4 6.1 8.6 9.1 8.3 6.1 6.1 11.1 11.1 6.2 6.2 6.8 6.8 8.5 8.5 (Z) (Z) 12.6 12.6 −0.6 −0.6 9.8 9.3 10.0 7.5 9.5 6.1 6.8 6.8 0.7 0.7 8.6 8.6 11.5 11.5 6.1 6.1 1.6 1.6 −0.5 −0.5 5.2 5.2



2002 1,499.7 1,499.7 757.1 757.1 808.5 808.5 622.0 622.0 2,231.3 2,231.3 1,903.5 1,903.5 1,130.5 1,130.5 508.0 508.0 1,215.8 1,215.8 982.0 982.0 513.8 513.8 1,189.5 1,189.5 995.3 869.5 125.8 813.6 813.6 711.9 711.9 479.6 479.6 883.1 883.1 2,121.1 1,616.9 504.2 2,458.0 985.4 1,472.7 1,010.7 1,010.7 845.4 845.4 663.9 663.9 761.5 761.5 1,041.9 1,041.9 556.3 556.3 1,913.8 1,913.8 1,121.8 1,121.8 2,162.0 729.7 1,432.3 1,643.6 695.8 947.8 904.1 904.1 776.3 776.3 948.1 948.1 728.1 728.1 530.1 530.1 684.0 684.0 397.4 397.4 805.5 805.5



2000 1,435.5 1,435.5 699.9 699.9 779.9 779.9 584.9 584.9 2,194.7 2,194.7 1,714.1 1,714.1 1,087.6 1,087.6 483.2 483.2 1,186.0 1,186.0 856.3 856.3 485.3 485.3 1,079.8 1,079.8 958.4 837.0 121.4 754.0 754.0 669.7 669.7 435.0 435.0 805.6 805.6 1,927.3 1,452.0 475.3 2,263.4 903.6 1,359.8 952.8 952.8 761.2 761.2 625.1 625.1 713.2 713.2 960.4 960.4 556.5 556.5 1,699.1 1,699.1 1,128.1 1,128.1 1,969.5 667.6 1,301.8 1,528.5 635.3 893.2 846.8 846.8 770.7 770.7 872.7 872.7 653.1 653.1 499.5 499.5 673.4 673.4 399.4 399.4 765.8 765.8



2002 25,024 25,024 22,080 22,080 21,277 21,277 26,744 26,744 25,684 25,684 24,050 24,050 24,540 24,540 15,701 15,701 26,293 26,293 23,864 23,864 17,956 17,956 32,024 32,024 25,158 26,337 19,214 19,601 19,601 21,501 21,501 26,246 26,246 20,839 20,839 25,685 25,101 27,757 23,115 22,269 23,718 20,137 20,137 19,297 19,297 20,847 20,847 29,162 29,162 24,265 24,265 24,026 24,026 26,890 26,890 24,705 24,705 25,366 26,164 24,978 23,464 23,680 23,309 29,443 29,443 26,342 26,342 21,563 21,563 21,699 21,699 24,679 24,679 24,094 24,094 20,292 20,292 21,221 21,221



2000 23,796 23,796 20,409 20,409 20,555 20,555 25,448 25,448 25,515 25,515 21,675 21,675 23,671 23,671 14,976 14,976 25,776 25,776 21,519 21,519 16,845 16,845 29,187 29,187 24,190 25,242 18,792 18,544 18,544 20,011 20,011 24,269 24,269 19,269 19,269 23,402 22,650 26,046 21,076 20,328 21,604 18,380 18,380 17,338 17,338 19,921 19,921 27,168 27,168 22,467 22,467 23,403 23,403 24,880 24,880 24,632 24,632 23,837 24,461 23,530 22,265 22,104 22,380 27,828 27,828 26,238 26,238 20,352 20,352 19,689 19,689 23,655 23,655 23,813 23,813 20,151 20,151 20,305 20,305



Bedford, IN . . . . . . . . . Lawrence County, IN. Beeville, TX . . . . . . . . Bee County, TX . . . . Bellefontaine, OH. . . . . Logan County, OH . . Bemidji, MN . . . . . . . . Beltrami County, MN .



Bennettsville, SC . . . . . . Marlboro County, SC. . Bennington, VT . . . . . . . Bennington County, VT Berlin, NH-VT . . . . . . . . Coos County, NH . . . . Essex County, VT. . . . Big Rapids, MI . . . . . Mecosta County, MI Big Spring, TX. . . . . . Howard County, TX. Bishop, CA . . . . . . . . Inyo County, CA . . . . . . . . . . . . . . .



Blackfoot, ID . . . . . . . . . Bingham County, ID . . Bloomsburg-Berwick, PA . Columbia County, PA . Montour County, PA . . Bluefield, WV-VA . . . . . . Tazewell County, VA . . Mercer County, WV. . . Blytheville, AR . . . . . . . . Mississippi County, AR Bogalusa, LA . . . . . . . . Washington Parish, LA Bonham, TX . . . . . . . . . Fannin County, TX . . . Boone, IA . . . . . . . . . . . Boone County, IA . . . . Boone, NC . . . . . . . . . . Watauga County, NC . Borger, TX . . . . . . . . . . Hutchinson County, TX



Bozeman, MT . . . . . . . . . Gallatin County, MT . . . Bradford, PA . . . . . . . . . . McKean County, PA . . . Brainerd, MN . . . . . . . . . Cass County, MN . . . . . Crow Wing County, MN . Branson, MO . . . . . . . . . Stone County, MO . . . . Taney County, MO . . . . Brenham, TX . . . . . . . . . Washington County, TX . Brevard, NC . . . . . . . . . . Transylvania County, NC Brigham City, UT . . . . . Box Elder County, UT Brookhaven, MS . . . . . Lincoln County, MS. . Brookings, OR. . . . . . . Curry County, OR . . . . . . . . . . . . . . . . . . . . .



Brookings, SD . . . . . . . . Brookings County, SD . Brownsville, TN . . . . . . . Haywood County, TN . Brownwood, TX . . . . . . . Brown County, TX . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



271



Table D-1. Micropolitan Areas — Population and Personal Income—Con.

Population Micropolitan statistical area Component counties 2005 (July 1) Bucyrus, OH . . . . . . . . . Crawford County, OH . Burley, ID . . . . . . . . . . . Cassia County, ID. . . . Minidoka County, ID . . Burlington, IA-IL. . . . . . . Henderson County, IL . Des Moines County, IA Butte-Silver Bow, MT . . . Silver Bow County, MT Cadillac, MI . . . . . . . . . Missaukee County, MI . Wexford County, MI . . Calhoun, GA . . . . . . . . . Gordon County, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,774 45,774 40,338 21,324 19,014 48,782 7,972 40,810 32,982 32,982 47,175 15,299 31,876 50,279 50,279 31,401 31,401 41,123 41,123 32,691 5,589 27,102 23,754 23,754 47,766 47,766 37,708 37,708 92,413 8,927 12,325 71,161 57,954 57,954 51,437 51,437 38,311 38,311 40,479 40,479 41,202 41,202 31,548 31,548 40,144 40,144 72,449 72,449 137,409 137,409 62,038 51,065 10,973 33,228 33,228 75,197 75,197 23,593 23,593 43,041 43,041 92,136 7,476 68,369 16,291 29,002 29,002 65,147 65,147 38,641 38,641 39,561 39,561 49,717 49,717 45,846 45,846 34,570 34,570 46,460 46,460 76,292 76,292 2004 (July 1) 45,881 45,881 40,570 21,381 19,189 48,908 8,068 40,840 33,067 33,067 46,760 15,255 31,505 48,997 48,997 31,002 31,002 41,220 41,220 32,848 5,541 27,307 23,437 23,437 47,439 47,439 37,687 37,687 92,108 9,228 12,309 70,571 58,186 58,186 51,661 51,661 36,422 36,422 40,128 40,128 41,059 41,059 31,635 31,635 40,428 40,428 71,299 71,299 134,743 134,743 62,509 51,460 11,049 33,567 33,567 74,832 74,832 23,553 23,553 42,475 42,475 91,931 7,404 68,343 16,184 29,232 29,232 64,287 64,287 39,028 39,028 38,113 38,113 49,789 49,789 45,730 45,730 34,850 34,850 46,557 46,557 74,738 74,738 Net change 20001 (estimates base) 46,902 46,902 41,511 21,413 20,098 50,510 8,219 42,291 34,526 34,526 45,101 14,556 30,545 44,370 44,370 30,594 30,594 40,796 40,796 34,434 5,731 28,703 22,911 22,911 46,323 46,323 38,237 38,237 90,416 9,588 12,065 68,763 59,530 59,530 51,454 51,454 33,966 33,966 38,268 38,268 40,921 40,921 31,798 31,798 41,707 41,707 68,659 68,659 129,546 129,546 64,306 53,042 11,264 34,131 34,131 73,445 73,445 23,815 23,815 40,561 40,561 92,116 7,416 68,598 16,102 30,569 30,569 58,600 58,600 40,487 40,487 36,367 36,367 50,078 50,078 44,900 44,900 36,200 36,200 45,871 45,871 69,734 69,734 19902 (April 1) 47,870 47,870 38,893 19,532 19,361 50,710 8,096 42,614 33,941 33,941 38,507 12,147 26,360 35,072 35,072 30,236 30,236 39,024 39,024 36,400 5,826 30,574 21,146 21,146 32,273 32,273 38,080 38,080 82,878 10,626 10,619 61,633 61,067 61,067 48,605 48,605 20,789 20,789 33,815 33,815 39,443 39,443 31,318 31,318 41,561 41,561 59,358 59,358 121,082 121,082 62,314 51,644 10,670 32,170 32,170 69,330 69,330 21,683 21,683 38,592 38,592 91,509 6,994 69,371 15,144 31,665 31,665 50,631 50,631 41,875 41,875 25,773 25,773 51,040 51,040 42,207 42,207 38,816 38,816 41,502 41,502 54,812 54,812 2000– 2005 −1,128 −1,128 −1,173 −89 −1,084 −1,728 −247 −1,481 −1,544 −1,544 2,074 743 1,331 5,909 5,909 807 807 327 327 −1,743 −142 −1,601 843 843 1,443 1,443 −529 −529 1,997 −661 260 2,398 −1,576 −1,576 −17 −17 4,345 4,345 2,211 2,211 281 281 −250 −250 −1,563 −1,563 3,790 3,790 7,863 7,863 −2,268 −1,977 −291 −903 −903 1,752 1,752 −222 −222 2,480 2,480 20 60 −229 189 −1,567 −1,567 6,547 6,547 −1,846 −1,846 3,194 3,194 −361 −361 946 946 −1,630 −1,630 589 589 6,558 6,558 1990– 2000 −968 −968 2,618 1,881 737 −200 123 −323 585 585 6,594 2,409 4,185 9,298 9,298 358 358 1,772 1,772 −1,966 −95 −1,871 1,765 1,765 14,050 14,050 157 157 7,538 −1,038 1,446 7,130 −1,537 −1,537 2,849 2,849 13,177 13,177 4,453 4,453 1,478 1,478 480 480 146 146 9,301 9,301 8,464 8,464 1,992 1,398 594 1,961 1,961 4,115 4,115 2,132 2,132 1,969 1,969 607 422 −773 958 −1,096 −1,096 7,969 7,969 −1,388 −1,388 10,594 10,594 −962 −962 2,693 2,693 −2,616 −2,616 4,369 4,369 14,922 14,922 Percent change 2000– 2005 −2.4 −2.4 −2.8 −0.4 −5.4 −3.4 −3.0 −3.5 −4.5 −4.5 4.6 5.1 4.4 13.3 13.3 2.6 2.6 0.8 0.8 −5.1 −2.5 −5.6 3.7 3.7 3.1 3.1 −1.4 −1.4 2.2 −6.9 2.2 3.5 −2.6 −2.6 0.0 0.0 12.8 12.8 5.8 5.8 0.7 0.7 −0.8 −0.8 −3.7 −3.7 5.5 5.5 6.1 6.1 −3.5 −3.7 −2.6 −2.6 −2.6 2.4 2.4 −0.9 −0.9 6.1 6.1 0.0 0.8 −0.3 1.2 −5.1 −5.1 11.2 11.2 −4.6 −4.6 8.8 8.8 −0.7 −0.7 2.1 2.1 −4.5 −4.5 1.3 1.3 9.4 9.4 1990– 2000 −2.0 −2.0 6.7 9.6 3.8 −0.4 1.5 −0.8 1.7 1.7 17.1 19.8 15.9 26.5 26.5 1.2 1.2 4.5 4.5 −5.4 −1.6 −6.1 8.3 8.3 43.5 43.5 0.4 0.4 9.1 −9.8 13.6 11.6 −2.5 −2.5 5.9 5.9 63.4 63.4 13.2 13.2 3.7 3.7 1.5 1.5 0.4 0.4 15.7 15.7 7.0 7.0 3.2 2.7 5.6 6.1 6.1 5.9 5.9 9.8 9.8 5.1 5.1 0.7 6.0 −1.1 6.3 −3.5 −3.5 15.7 15.7 −3.3 −3.3 41.1 41.1 −1.9 −1.9 6.4 6.4 −6.7 −6.7 10.5 10.5 27.2 27.2 Total (mil. dol.) Personal income Per capita3 (dollars) Percent change 2000– 2002 1.5 1.5 11.6 13.6 9.0 3.0 1.2 3.3 9.4 9.4 2.6 4.7 1.7 9.1 9.1 5.1 5.1 10.4 10.4 7.0 13.0 5.8 7.5 7.5 5.2 5.2 6.1 6.1 7.1 3.2 8.4 7.3 9.4 9.4 15.0 15.0 14.0 14.0 10.6 10.6 1.1 1.1 1.8 1.8 2.1 2.1 8.7 8.7 4.6 4.6 3.6 3.5 4.2 5.2 5.2 5.2 5.2 0.5 0.5 10.3 10.3 7.0 10.8 6.4 9.2 6.4 6.4 13.4 13.4 3.6 3.6 15.0 15.0 6.4 6.4 16.4 16.4 3.8 3.8 3.5 3.5 2.9 2.9



2002 1,099.6 1,099.6 907.2 524.9 382.3 1,327.1 189.9 1,137.2 857.0 857.0 982.7 294.2 688.5 1,063.7 1,063.7 756.5 756.5 892.8 892.8 704.1 118.9 585.2 473.5 473.5 912.4 912.4 895.7 895.7 2,261.8 167.0 229.6 1,865.1 1,387.3 1,387.3 1,218.2 1,218.2 634.6 634.6 792.8 792.8 1,052.5 1,052.5 654.2 654.2 966.2 966.2 1,660.2 1,660.2 3,370.6 3,370.6 1,516.3 1,246.5 269.7 716.3 716.3 1,717.5 1,717.5 566.1 566.1 1,238.1 1,238.1 2,192.5 137.4 1,753.7 301.4 640.8 640.8 1,573.5 1,573.5 715.3 715.3 756.6 756.6 1,274.7 1,274.7 1,077.4 1,077.4 794.8 794.8 996.2 996.2 1,899.4 1,899.4



2000 1,083.0 1,083.0 812.6 462.0 350.6 1,288.2 187.7 1,100.4 783.4 783.4 958.0 280.9 677.1 975.0 975.0 719.7 719.7 809.0 809.0 658.2 105.3 553.0 440.6 440.6 867.5 867.5 844.3 844.3 2,111.9 161.9 211.8 1,738.2 1,267.6 1,267.6 1,059.6 1,059.6 556.7 556.7 716.6 716.6 1,040.8 1,040.8 642.4 642.4 946.7 946.7 1,527.4 1,527.4 3,223.8 3,223.8 1,463.1 1,204.3 258.8 680.6 680.6 1,631.8 1,631.8 563.5 563.5 1,122.0 1,122.0 2,048.7 124.0 1,648.7 276.0 602.3 602.3 1,388.0 1,388.0 690.2 690.2 657.8 657.8 1,197.5 1,197.5 925.8 925.8 765.8 765.8 962.6 962.6 1,846.7 1,846.7



2002 23,721 23,721 22,115 24,324 19,664 26,754 23,263 27,442 25,624 25,624 21,470 19,638 22,362 22,806 22,806 24,725 24,725 21,705 21,705 21,060 21,030 21,067 20,391 20,391 19,229 19,229 23,833 23,833 24,755 17,607 18,682 26,802 23,628 23,628 23,763 23,763 17,939 17,939 20,107 20,107 25,760 25,760 20,632 20,632 23,515 23,515 23,836 23,836 25,622 25,622 24,096 24,046 24,331 21,019 21,019 23,123 23,123 24,008 24,008 29,880 29,880 23,963 18,437 25,817 18,704 21,404 21,404 25,288 25,288 18,111 18,111 20,604 20,604 25,586 25,586 23,984 23,984 22,562 22,562 21,419 21,419 26,562 26,562



2000 23,095 23,095 19,577 21,578 17,445 25,507 22,848 26,023 22,690 22,690 21,244 19,303 22,168 21,978 21,978 23,523 23,523 19,832 19,832 19,117 18,366 19,267 19,229 19,229 18,733 18,733 22,082 22,082 23,356 16,891 17,548 25,277 21,276 21,276 20,596 20,596 16,389 16,389 18,732 18,732 25,439 25,439 20,205 20,205 22,703 22,703 22,254 22,254 24,886 24,886 22,753 22,706 22,976 19,943 19,943 22,222 22,222 23,656 23,656 27,671 27,671 22,244 16,727 24,039 17,140 19,706 19,706 23,689 23,689 17,051 17,051 18,098 18,098 23,916 23,916 20,596 20,596 21,156 21,156 20,985 20,985 26,486 26,486



Cambridge, MD . . . . . . . . Dorchester County, MD . Cambridge, OH . . . . . . . . Guernsey County, OH . . Camden, AR . . . . . . . . . . Calhoun County, AR . . . Ouachita County, AR. . . Campbellsville, KY . . . . Taylor County, KY. . . Canon City, CO . . . . . . Fremont County, CO . Canton, IL . . . . . . . . . Fulton County, IL . . . . . . . . . . . . . . .



Cape Girardeau-Jackson, MO-IL. Alexander County, IL. . . . . . . Bollinger County, MO . . . . . . Cape Girardeau County, MO . Carbondale, IL . . . . . . . . . . . . Jackson County, IL . . . . . . . . Carlsbad-Artesia, NM . Eddy County, NM . . Cedar City, UT . . . . . Iron County, UT . . . Cedartown, GA . . . . . Polk County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Celina, OH . . . . . . . . . . . Mercer County, OH . . . . Central City, KY. . . . . . . . Muhlenberg County, KY . Centralia, IL . . . . . . . . . . Marion County, IL . . . . . Centralia, WA . . . . . . . . Lewis County, WA . . . Chambersburg, PA. . . . . Franklin County, PA . . Charleston-Mattoon, IL . . Coles County, IL. . . . . Cumberland County, IL Chester, SC . . . . . . . Chester County, SC Chillicothe, OH . . . . . Ross County, OH . . City of The Dalles, OR Wasco County, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Claremont, NH . . . . . . . Sullivan County, NH . . Clarksburg, WV . . . . . . . Doddridge County, WV Harrison County, WV. . Taylor County, WV . . . Clarksdale, MS . . . . . . . Coahoma County, MS . Clearlake, CA . . . . . . . . Lake County, CA . . . . Cleveland, MS. . . . . . . . Bolivar County, MS . . . Clewiston, FL . . . . . Hendry County, FL Clinton, IA . . . . . . . Clinton County, IA. Clovis, NM . . . . . . . Curry County, NM. . . . . . . . . . . . . . . . . . .



Coffeyville, KS. . . . . . . . . Montgomery County, KS Coldwater, MI . . . . . . . . . Branch County, MI . . . . Columbia, TN . . . . . . . . . Maury County, TN . . . .



See footnotes at end of table.



272



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table D-1. Micropolitan Areas — Population and Personal Income—Con.

Population Micropolitan statistical area Component counties 2005 (July 1) Columbus, MS . . . . . . . Lowndes County, MS . Columbus, NE. . . . . . . . Platte County, NE . . . . Concord, NH. . . . . . . . . Merrimack County, NH Connersville, IN . . . . . Fayette County, IN . Cookeville, TN. . . . . . Jackson County, TN Overton County, TN Putnam County, TN Coos Bay, OR . . . . . . Coos County, OR . . Corbin, KY . . . . . . . . Whitley County, KY . Cordele, GA . . . . . . . Crisp County, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,895 59,895 31,262 31,262 146,881 146,881 24,885 24,885 98,175 11,072 20,523 66,580 64,711 64,711 38,029 38,029 22,017 22,017 35,306 35,306 39,603 39,603 98,632 98,632 48,687 48,687 48,622 48,622 36,945 36,945 38,239 38,239 28,705 28,705 51,346 51,346 59,552 59,552 79,886 79,886 42,530 42,530 53,485 28,363 25,122 162,586 162,586 33,849 33,849 39,112 39,112 47,596 47,596 26,498 26,498 34,562 34,562 22,886 813 22,073 30,974 30,974 35,669 35,669 33,751 33,751 47,704 8,030 39,674 56,434 9,538 46,896 82,783 82,783 20,348 20,348 42,946 42,946 103,692 103,692 47,452 47,452 2004 (July 1) 60,298 60,298 31,282 31,282 145,358 145,358 24,967 24,967 97,302 11,128 20,435 65,739 63,825 63,825 37,586 37,586 21,982 21,982 35,166 35,166 38,948 38,948 98,790 98,790 48,215 48,215 48,921 48,921 37,073 37,073 37,900 37,900 28,327 28,327 50,187 50,187 59,164 59,164 79,092 79,092 40,151 40,151 52,969 28,218 24,751 156,688 156,688 33,778 33,778 39,076 39,076 47,446 47,446 26,090 26,090 34,012 34,012 22,967 826 22,141 31,142 31,142 35,677 35,677 33,456 33,456 47,126 7,949 39,177 56,117 9,623 46,494 82,883 82,883 20,455 20,455 42,773 42,773 101,370 101,370 46,621 46,621 Net change 20001 (estimates base) 61,524 61,524 31,532 31,532 136,716 136,716 25,550 25,550 93,685 11,028 20,194 62,463 62,694 62,694 35,961 35,961 21,991 21,991 34,608 34,608 36,133 36,133 98,810 98,810 45,333 45,333 48,578 48,578 36,704 36,704 37,613 37,613 27,479 27,479 47,027 47,027 58,838 58,838 77,586 77,586 34,494 34,494 51,170 27,698 23,472 141,416 141,416 33,622 33,622 39,455 39,455 45,017 45,017 24,993 24,993 33,053 33,053 23,420 874 22,546 30,715 30,715 36,059 36,059 32,589 32,589 45,184 7,606 37,578 53,535 8,561 44,974 83,389 83,389 20,112 20,112 43,079 43,079 91,591 91,591 44,177 44,177 19902 (April 1) 59,308 59,308 29,820 29,820 120,005 120,005 26,015 26,015 78,306 9,297 17,636 51,373 60,273 60,273 33,326 33,326 20,011 20,011 31,722 31,722 27,621 27,621 99,088 99,088 39,926 39,926 48,963 48,963 35,427 35,427 34,436 34,436 23,460 23,460 34,736 34,736 55,882 55,882 67,613 67,613 27,791 27,791 45,686 25,641 20,045 98,280 98,280 31,095 31,095 39,350 39,350 38,721 38,721 18,110 18,110 30,083 30,083 23,940 1,108 22,832 29,114 29,114 34,392 34,392 27,463 27,463 35,805 6,213 29,592 48,317 8,329 39,988 78,097 78,097 17,865 17,865 42,299 42,299 67,822 67,822 32,284 32,284 2000– 2005 −1,629 −1,629 −270 −270 10,165 10,165 −665 −665 4,490 44 329 4,117 2,017 2,017 2,068 2,068 26 26 698 698 3,470 3,470 −178 −178 3,354 3,354 44 44 241 241 626 626 1,226 1,226 4,319 4,319 714 714 2,300 2,300 8,036 8,036 2,315 665 1,650 21,170 21,170 227 227 −343 −343 2,579 2,579 1,505 1,505 1,509 1,509 −534 −61 −473 259 259 −390 −390 1,162 1,162 2,520 424 2,096 2,899 977 1,922 −606 −606 236 236 −133 −133 12,101 12,101 3,275 3,275 1990– 2000 2,216 2,216 1,712 1,712 16,711 16,711 −465 −465 15,379 1,731 2,558 11,090 2,421 2,421 2,635 2,635 1,980 1,980 2,886 2,886 8,512 8,512 −278 −278 5,407 5,407 −385 −385 1,277 1,277 3,177 3,177 4,019 4,019 12,291 12,291 2,956 2,956 9,973 9,973 6,703 6,703 5,484 2,057 3,427 43,136 43,136 2,527 2,527 105 105 6,296 6,296 6,883 6,883 2,970 2,970 −520 −234 −286 1,601 1,601 1,667 1,667 5,126 5,126 9,379 1,393 7,986 5,218 232 4,986 5,292 5,292 2,247 2,247 780 780 23,769 23,769 11,893 11,893 Percent change 2000– 2005 −2.6 −2.6 −0.9 −0.9 7.4 7.4 −2.6 −2.6 4.8 0.4 1.6 6.6 3.2 3.2 5.8 5.8 0.1 0.1 2.0 2.0 9.6 9.6 −0.2 −0.2 7.4 7.4 0.1 0.1 0.7 0.7 1.7 1.7 4.5 4.5 9.2 9.2 1.2 1.2 3.0 3.0 23.3 23.3 4.5 2.4 7.0 15.0 15.0 0.7 0.7 −0.9 −0.9 5.7 5.7 6.0 6.0 4.6 4.6 −2.3 −7.0 −2.1 0.8 0.8 −1.1 −1.1 3.6 3.6 5.6 5.6 5.6 5.4 11.4 4.3 −0.7 −0.7 1.2 1.2 −0.3 −0.3 13.2 13.2 7.4 7.4 1990– 2000 3.7 3.7 5.7 5.7 13.9 13.9 −1.8 −1.8 19.6 18.6 14.5 21.6 4.0 4.0 7.9 7.9 9.9 9.9 9.1 9.1 30.8 30.8 −0.3 −0.3 13.5 13.5 −0.8 −0.8 3.6 3.6 9.2 9.2 17.1 17.1 35.4 35.4 5.3 5.3 14.8 14.8 24.1 24.1 12.0 8.0 17.1 43.9 43.9 8.1 8.1 0.3 0.3 16.3 16.3 38.0 38.0 9.9 9.9 −2.2 −21.1 −1.3 5.5 5.5 4.8 4.8 18.7 18.7 26.2 22.4 27.0 10.8 2.8 12.5 6.8 6.8 12.6 12.6 1.8 1.8 35.0 35.0 36.8 36.8 Total (mil. dol.) Personal income Per capita3 (dollars) Percent change 2000– 2002 4.4 4.4 4.7 4.7 7.6 7.6 5.0 5.0 7.8 12.9 10.0 6.5 8.9 8.9 8.8 8.8 7.7 7.7 7.9 7.9 9.6 9.6 −8.9 −8.9 6.1 6.1 2.7 2.7 0.7 0.7 2.9 2.9 3.6 3.6 6.4 6.4 12.5 12.5 10.0 10.0 11.6 11.6 5.8 5.5 6.2 9.3 9.3 1.7 1.7 0.4 0.4 12.0 12.0 18.9 18.9 7.0 7.0 8.4 4.2 8.5 3.2 3.2 2.8 2.8 6.3 6.3 7.3 5.9 7.5 8.4 5.1 8.9 7.0 7.0 4.6 4.6 4.8 4.8 10.1 10.1 10.2 10.2



2002 1,361.4 1,361.4 811.9 811.9 4,548.0 4,548.0 652.7 652.7 2,159.2 230.0 408.1 1,521.0 1,498.9 1,498.9 713.6 713.6 465.5 465.5 735.1 735.1 867.9 867.9 2,590.5 2,590.5 1,002.0 1,002.0 1,100.2 1,100.2 857.8 857.8 938.2 938.2 513.3 513.3 1,087.8 1,087.8 1,225.5 1,225.5 1,812.0 1,812.0 1,014.8 1,014.8 1,147.2 701.4 445.8 4,037.0 4,037.0 786.9 786.9 1,029.5 1,029.5 847.2 847.2 433.8 433.8 666.3 666.3 558.1 16.7 541.5 569.2 569.2 857.2 857.2 742.8 742.8 972.4 143.8 828.6 1,220.1 163.5 1,056.6 1,926.5 1,926.5 451.5 451.5 987.8 987.8 2,180.7 2,180.7 1,334.3 1,334.3



2000 1,304.0 1,304.0 775.3 775.3 4,225.5 4,225.5 621.8 621.8 2,003.6 203.8 371.0 1,428.8 1,376.7 1,376.7 656.2 656.2 432.2 432.2 681.4 681.4 791.9 791.9 2,842.3 2,842.3 944.5 944.5 1,070.8 1,070.8 851.6 851.6 911.5 911.5 495.3 495.3 1,022.6 1,022.6 1,089.3 1,089.3 1,647.9 1,647.9 909.3 909.3 1,084.6 664.8 419.9 3,693.7 3,693.7 773.4 773.4 1,025.7 1,025.7 756.2 756.2 364.8 364.8 622.5 622.5 514.9 16.0 498.9 551.8 551.8 834.2 834.2 698.8 698.8 906.5 135.8 770.7 1,125.6 155.6 970.0 1,799.8 1,799.8 431.6 431.6 942.6 942.6 1,979.8 1,979.8 1,210.8 1,210.8



2002 22,382 22,382 25,937 25,937 32,121 32,121 26,004 26,004 22,592 20,578 20,172 23,705 23,937 23,937 19,388 19,388 21,036 21,036 21,158 21,158 22,981 22,981 26,034 26,034 21,397 21,397 22,693 22,693 23,206 23,206 24,725 24,725 18,677 18,677 22,339 22,339 20,750 20,750 23,262 23,262 27,545 27,545 22,128 25,327 18,458 27,224 27,224 23,512 23,512 26,259 26,259 18,503 18,503 17,195 17,195 20,089 20,089 24,198 19,151 24,396 18,333 18,333 24,084 24,084 22,905 22,905 20,983 18,710 21,435 22,231 17,368 23,238 23,131 23,131 22,403 22,403 23,207 23,207 22,484 22,484 29,127 29,127



2000 21,197 21,197 24,589 24,589 30,907 30,907 24,337 24,337 21,383 18,481 18,373 22,868 21,961 21,961 18,250 18,250 19,661 19,661 19,690 19,690 21,914 21,914 28,769 28,769 20,841 20,841 22,043 22,043 23,202 23,202 24,230 24,230 18,031 18,031 21,750 21,750 18,518 18,518 21,244 21,244 26,362 26,362 21,196 23,995 17,892 26,122 26,122 23,006 23,006 26,001 26,001 16,802 16,802 14,595 14,595 18,821 18,821 21,983 18,289 22,126 17,968 17,968 23,135 23,135 21,453 21,453 20,066 17,847 20,515 21,027 18,174 21,570 21,586 21,586 21,462 21,462 21,884 21,884 21,616 21,616 27,409 27,409



Corinth, MS . . . . . . . . . . Alcorn County, MS . . . . Cornelia, GA . . . . . . . . . . Habersham County, GA . Corning, NY . . . . . . . . . . Steuben County, NY . . . Corsicana, TX . . . . . . . . Navarro County, TX . . Cortland, NY . . . . . . . . . Cortland County, NY . . Coshocton, OH . . . . . . . Coshocton County, OH . . . . . .



Crawfordsville, IN. . . . . . . Montgomery County, IN . Crescent City, CA . . . . . . Del Norte County, CA . . Crossville, TN . . . . . . . . . Cumberland County, TN Crowley, LA . . . . . . . . Acadia Parish, LA. . . Cullman, AL . . . . . . . . Cullman County, AL . Culpeper, VA. . . . . . . . Culpeper County, VA. Danville, KY . . . . . . . Boyle County, KY . . Lincoln County, KY . Daphne-Fairhope, AL . Baldwin County, AL. Decatur, IN . . . . . . . . Adams County, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Defiance, OH . . . . . . . Defiance County, OH Del Rio, TX. . . . . . . . . Val Verde County, TX Deming, NM . . . . . . . . Luna County, NM . . .



De Ridder, LA . . . . . . . . Beauregard Parish, LA Dickinson, ND . . . . . . . . Billings County, ND . . . Stark County, ND . . . . Dillon, SC. . . . . . . . . . . Dillon County, SC . . . . Dixon, IL . . . . . . . . . . Lee County, IL . . . . . Dodge City, KS . . . . . . Ford County, KS. . . . Douglas, GA . . . . . . . . Atkinson County, GA . Coffee County, GA . . Dublin, GA . . . . . . . . . Johnson County, GA . Laurens County, GA . DuBois, PA . . . . . . . . . Clearfield County, PA Dumas, TX . . . . . . . . . Moore County, TX . . Duncan, OK . . . . . . . . Stephens County, OK Dunn, NC . . . . . . . . . . Harnett County, NC. . Durango, CO . . . . . . . La Plata County, CO . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



273



Table D-1. Micropolitan Areas — Population and Personal Income—Con.

Population Micropolitan statistical area Component counties 2005 (July 1) Durant, OK . . . . . . . . . Bryan County, OK. . . Dyersburg, TN. . . . . . . Dyer County, TN . . . Eagle Pass, TX . . . . . . Maverick County, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,815 37,815 37,829 37,829 51,181 51,181 110,928 110,928 35,683 35,683 163,234 163,234 55,268 47,530 7,738 34,581 34,581 41,554 41,554 44,186 44,186 59,317 8,967 38,270 12,080 18,880 18,880 46,998 45,570 1,428 36,841 36,841 38,690 3,081 35,609 56,958 56,958 94,315 45,567 48,748 38,347 38,347 40,828 40,828 30,881 28,414 2,467 128,376 128,376 19,939 19,939 21,002 21,002 56,509 56,509 24,556 24,556 60,949 60,949 61,661 61,661 57,658 57,658 73,503 73,503 27,409 17,316 10,093 63,771 63,771 27,902 27,902 39,003 39,003 44,187 44,187 27,995 27,995 67,271 67,271 48,745 48,745 24,794 24,794 2004 (July 1) 37,623 37,623 37,508 37,508 50,485 50,485 111,337 111,337 35,130 35,130 158,816 158,816 53,895 46,162 7,733 34,640 34,640 41,411 41,411 44,536 44,536 57,267 8,468 37,057 11,742 18,388 18,388 45,901 44,482 1,419 36,158 36,158 38,922 3,082 35,840 57,325 57,325 94,098 45,077 49,021 38,315 38,315 40,768 40,768 31,012 28,545 2,467 128,287 128,287 19,786 19,786 21,067 21,067 56,473 56,473 24,289 24,289 60,317 60,317 60,730 60,730 57,757 57,757 73,447 73,447 27,100 17,261 9,839 63,543 63,543 28,160 28,160 39,186 39,186 44,377 44,377 28,063 28,063 66,928 66,928 49,522 49,522 24,533 24,533 Net change 20001 (estimates base) 36,626 36,626 37,332 37,332 47,387 47,387 112,124 112,124 33,906 33,906 139,845 139,845 49,753 41,943 7,810 34,268 34,268 41,222 41,222 45,578 45,578 53,221 6,929 34,879 11,413 19,755 19,755 46,924 45,290 1,634 33,490 33,490 38,996 3,033 35,963 57,683 57,683 92,650 43,553 49,097 38,570 38,570 41,256 41,256 31,651 29,044 2,607 126,336 126,336 19,709 19,709 21,778 21,778 56,512 56,512 24,025 24,025 56,830 56,830 55,770 55,770 57,157 57,157 71,315 71,315 27,468 17,497 9,971 62,992 62,992 29,289 29,289 40,194 40,194 41,762 41,762 27,261 27,261 64,666 64,666 52,497 52,497 23,810 23,810 19902 (April 1) 32,089 32,089 34,854 34,854 36,378 36,378 108,276 108,276 30,549 30,549 95,709 95,709 27,935 21,928 6,007 31,704 31,704 39,955 39,955 46,719 46,719 47,649 5,904 31,298 10,447 18,812 18,812 35,077 33,530 1,547 26,725 26,725 37,753 3,021 34,732 56,735 56,735 89,873 40,240 49,633 37,780 37,780 34,365 34,365 27,626 25,417 2,209 119,118 119,118 18,705 18,705 22,914 22,914 57,249 57,249 17,938 17,938 49,183 49,183 48,904 48,904 50,714 50,714 65,536 65,536 24,894 16,245 8,649 56,918 56,918 28,497 28,497 40,342 40,342 41,307 41,307 21,939 21,939 54,651 54,651 61,961 61,961 21,189 21,189 2000– 2005 1,189 1,189 497 497 3,794 3,794 −1,196 −1,196 1,777 1,777 23,389 23,389 5,515 5,587 −72 313 313 332 332 −1,392 −1,392 6,096 2,038 3,391 667 −875 −875 74 280 −206 3,351 3,351 −306 48 −354 −725 −725 1,665 2,014 −349 −223 −223 −428 −428 −770 −630 −140 2,040 2,040 230 230 −776 −776 −3 −3 531 531 4,119 4,119 5,891 5,891 501 501 2,188 2,188 −59 −181 122 779 779 −1,387 −1,387 −1,191 −1,191 2,425 2,425 734 734 2,605 2,605 −3,752 −3,752 984 984 1990– 2000 4,537 4,537 2,478 2,478 11,009 11,009 3,848 3,848 3,357 3,357 44,136 44,136 21,818 20,015 1,803 2,564 2,564 1,267 1,267 −1,141 −1,141 5,572 1,025 3,581 966 943 943 11,847 11,760 87 6,765 6,765 1,243 12 1,231 948 948 2,777 3,313 −536 790 790 6,891 6,891 4,025 3,627 398 7,218 7,218 1,004 1,004 −1,136 −1,136 −737 −737 6,087 6,087 7,647 7,647 6,866 6,866 6,443 6,443 5,779 5,779 2,574 1,252 1,322 6,074 6,074 792 792 −148 −148 455 455 5,322 5,322 10,015 10,015 −9,464 −9,464 2,621 2,621 Percent change 2000– 2005 3.2 3.2 1.3 1.3 8.0 8.0 −1.1 −1.1 5.2 5.2 16.7 16.7 11.1 13.3 −0.9 0.9 0.9 0.8 0.8 −3.1 −3.1 11.5 29.4 9.7 5.8 −4.4 −4.4 0.2 0.6 −12.6 10.0 10.0 −0.8 1.6 −1.0 −1.3 −1.3 1.8 4.6 −0.7 −0.6 −0.6 −1.0 −1.0 −2.4 −2.2 −5.4 1.6 1.6 1.2 1.2 −3.6 −3.6 0.0 0.0 2.2 2.2 7.2 7.2 10.6 10.6 0.9 0.9 3.1 3.1 −0.2 −1.0 1.2 1.2 1.2 −4.7 −4.7 −3.0 −3.0 5.8 5.8 2.7 2.7 4.0 4.0 −7.1 −7.1 4.1 4.1 1990– 2000 14.1 14.1 7.1 7.1 30.3 30.3 3.6 3.6 11.0 11.0 46.1 46.1 78.1 91.3 30.0 8.1 8.1 3.2 3.2 −2.4 −2.4 11.7 17.4 11.4 9.2 5.0 5.0 33.8 35.1 5.6 25.3 25.3 3.3 0.4 3.5 1.7 1.7 3.1 8.2 −1.1 2.1 2.1 20.1 20.1 14.6 14.3 18.0 6.1 6.1 5.4 5.4 −5.0 −5.0 −1.3 −1.3 33.9 33.9 15.5 15.5 14.0 14.0 12.7 12.7 8.8 8.8 10.3 7.7 15.3 10.7 10.7 2.8 2.8 −0.4 −0.4 1.1 1.1 24.3 24.3 18.3 18.3 −15.3 −15.3 12.4 12.4 Total (mil. dol.) Personal income Per capita3 (dollars) Percent change 2000– 2002 10.2 10.2 7.2 7.2 11.1 11.1 3.3 3.3 13.4 13.4 10.1 10.1 7.0 7.6 0.5 6.1 6.1 9.1 9.1 13.0 13.0 6.8 9.2 5.9 7.8 10.5 10.5 1.1 1.1 1.4 8.5 8.5 5.6 11.3 5.0 5.5 5.5 10.4 13.2 7.5 3.6 3.6 13.8 13.8 9.2 8.8 13.5 8.6 8.6 20.4 20.4 9.1 9.1 7.8 7.8 10.4 10.4 7.7 7.7 6.6 6.6 8.6 8.6 5.6 5.6 10.2 10.3 10.1 5.5 5.5 7.1 7.1 6.5 6.5 10.7 10.7 8.5 8.5 7.1 7.1 12.5 12.5 9.5 9.5



2002 765.7 765.7 895.5 895.5 606.1 606.1 2,540.6 2,540.6 1,459.0 1,459.0 3,761.3 3,761.3 1,867.1 1,705.4 161.7 911.1 911.1 999.4 999.4 1,308.2 1,308.2 1,211.3 192.2 768.7 250.3 391.5 391.5 1,165.1 1,126.5 38.6 837.1 837.1 871.6 91.4 780.2 1,454.2 1,454.2 2,225.9 1,156.3 1,069.6 923.9 923.9 800.0 800.0 649.8 594.6 55.2 3,188.7 3,188.7 547.7 547.7 620.5 620.5 1,366.5 1,366.5 664.6 664.6 1,467.8 1,467.8 1,178.6 1,178.6 1,423.0 1,423.0 2,140.4 2,140.4 608.5 397.6 210.8 1,415.1 1,415.1 505.2 505.2 1,026.1 1,026.1 1,052.4 1,052.4 644.5 644.5 1,449.9 1,449.9 1,187.4 1,187.4 563.1 563.1



2000 694.6 694.6 835.2 835.2 545.4 545.4 2,458.9 2,458.9 1,287.1 1,287.1 3,417.7 3,417.7 1,745.1 1,584.2 160.9 858.6 858.6 915.8 915.8 1,157.4 1,157.4 1,134.1 176.0 726.0 232.2 354.4 354.4 1,152.7 1,114.6 38.1 771.2 771.2 825.3 82.1 743.1 1,378.9 1,378.9 2,016.4 1,021.5 995.0 891.8 891.8 702.8 702.8 595.2 546.6 48.6 2,935.6 2,935.6 455.0 455.0 568.8 568.8 1,268.2 1,268.2 601.9 601.9 1,363.1 1,363.1 1,105.3 1,105.3 1,310.5 1,310.5 2,026.8 2,026.8 552.0 360.5 191.5 1,341.7 1,341.7 471.6 471.6 963.0 963.0 950.3 950.3 593.9 593.9 1,354.2 1,354.2 1,055.2 1,055.2 514.1 514.1



2002 20,733 20,733 24,124 24,124 12,432 12,432 22,771 22,771 42,497 42,497 25,223 25,223 35,379 37,923 20,718 26,477 26,477 24,304 24,304 28,974 28,974 22,169 25,896 21,576 21,603 19,599 19,599 25,219 25,266 23,927 24,188 24,188 22,440 29,813 21,808 25,444 25,444 23,852 26,265 21,696 24,050 24,050 19,537 19,537 20,608 20,524 21,568 25,039 25,039 27,725 27,725 29,065 29,065 24,258 24,258 27,234 27,234 24,981 24,981 20,762 20,762 24,461 24,461 29,425 29,425 22,293 22,991 21,087 22,355 22,355 17,645 17,645 25,748 25,748 23,884 23,884 23,327 23,327 22,068 22,068 23,168 23,168 23,370 23,370



2000 18,967 18,967 22,380 22,380 11,512 11,512 21,935 21,935 37,966 37,966 24,442 24,442 35,045 37,736 20,586 25,059 25,059 22,217 22,217 25,399 25,399 21,310 25,394 20,814 20,349 17,945 17,945 24,570 24,618 23,242 23,030 23,030 21,164 27,088 20,664 23,909 23,909 21,761 23,457 20,257 23,125 23,125 17,037 17,037 18,806 18,821 18,644 23,240 23,240 23,089 23,089 26,118 26,118 22,439 22,439 25,068 25,068 23,987 23,987 19,820 19,820 22,895 22,895 28,419 28,419 20,094 20,603 19,203 21,304 21,304 16,103 16,103 23,959 23,959 22,717 22,717 21,794 21,794 20,945 20,945 20,085 20,085 21,596 21,596



East Liverpool-Salem, OH . Columbiana County, OH Easton, MD . . . . . . . . . . Talbot County, MD . . . . East Stroudsburg, PA . . . . Monroe County, PA. . . . Edwards, CO . . . . . . . Eagle County, CO. . . Lake County, CO . . . Effingham, IL . . . . . . . Effingham County, IL. El Campo, TX . . . . . . . Wharton County, TX . . . . . . . . . . . . . . .



El Dorado, AR . . . . . . . . . Union County, AR . . . . . Elizabeth City, NC . . . . . . Camden County, NC . . . Pasquotank County, NC. Perquimans County, NC Elk City, OK . . . . . . . . Beckham County, OK Elko, NV . . . . . . . . . . Elko County, NV. . . . Eureka County, NV . . Ellensburg, WA . . . . . . Kittitas County, WA . . Emporia, KS . . . . . . . Chase County, KS . Lyon County, KS . . Enid, OK . . . . . . . . . Garfield County, OK Enterprise-Ozark, AL . Coffee County, AL . Dale County, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Escanaba, MI . . . . . . . . Delta County, MI . . . . Espanola, NM . . . . . . . . Rio Arriba County, NM. Eufaula, AL-GA . . . . . . . Barbour County, AL. . . Quitman County, GA . .



Eureka-Arcata-Fortuna, CA Humboldt County, CA . . Evanston, WY . . . . . . . . . Uinta County, WY . . . . . Fairmont, MN . . . . . . . . . Martin County, MN . . . . Fairmont, WV . . . . . . . Marion County, WV. . Fallon, NV . . . . . . . . . Churchill County, NV . Faribault-Northfield, MN Rice County, MN . . . . . . . . . . . . . . .



Farmington, MO . . . . . . . St. Francois County, MO Fergus Falls, MN . . . . . . . Otter Tail County, MN . . Findlay, OH . . . . . . . . . . Hancock County, OH. . . Fitzgerald, GA . . . . . . . . Ben Hill County, GA . . Irwin County, GA . . . . Forest City, NC . . . . . . . Rutherford County, NC Forrest City, AR . . . . . . . St. Francis County, AR Fort Dodge, IA . . . . . . . Webster County, IA. . . Fort Leonard Wood, MO . Pulaski County, MO . . Fort Morgan, CO . . . . . . Morgan County, CO . . Fort Payne, AL . . . . . DeKalb County, AL . Fort Polk South, LA . . Vernon Parish, LA . Fort Valley, GA . . . . . Peach County, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



274



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table D-1. Micropolitan Areas — Population and Personal Income—Con.

Population Micropolitan statistical area Component counties 2005 (July 1) Frankfort, IN . . . . . . . . . Clinton County, IN . . . Frankfort, KY . . . . . . . . Anderson County, KY . Franklin County, KY . . Freeport, IL . . . . . . . . . Stephenson County, IL Fremont, NE . . . . . . . . . Dodge County, NE . . . Fremont, OH. . . . . . . . . Sandusky County, OH . Gaffney, SC . . . . . . . . . Cherokee County, SC . Gainesville, TX . . . . . . Cooke County, TX . . Galesburg, IL . . . . . . . Knox County, IL . . . . Warren County, IL . . Gallup, NM . . . . . . . . . McKinley County, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,091 34,091 68,601 20,394 48,207 47,965 47,965 36,078 36,078 61,676 61,676 53,844 53,844 38,847 38,847 70,867 53,309 17,558 71,918 71,918 38,988 38,988 47,017 47,017 60,983 60,983 99,749 99,749 37,405 37,405 50,270 40,073 10,197 55,625 55,625 55,508 47,930 7,578 69,878 55,104 6,708 8,066 27,620 27,620 80,761 80,761 28,105 28,105 65,318 65,318 25,184 25,184 59,220 59,220 52,983 52,983 46,828 10,397 36,431 67,979 67,979 22,861 22,861 20,112 20,112 106,502 106,502 38,136 28,375 9,761 52,889 52,889 26,072 26,072 44,245 35,793 8,452 39,803 33,070 6,733 16,304 16,304 26,767 26,767 2004 (July 1) 34,038 34,038 68,259 20,080 48,179 48,125 48,125 36,000 36,000 61,803 61,803 53,655 53,655 38,438 38,438 71,513 53,799 17,714 72,531 72,531 39,170 39,170 45,933 45,933 59,851 59,851 98,265 98,265 36,654 36,654 49,724 39,585 10,139 55,328 55,328 53,886 46,426 7,460 69,671 54,816 6,727 8,128 27,556 27,556 79,810 79,810 28,004 28,004 64,581 64,581 24,944 24,944 59,527 59,527 53,092 53,092 46,966 10,512 36,454 67,592 67,592 22,748 22,748 20,236 20,236 105,002 105,002 37,930 28,278 9,652 52,781 52,781 26,207 26,207 43,650 35,165 8,485 39,583 32,769 6,814 16,343 16,343 27,040 27,040 Net change 20001 (estimates base) 33,977 33,977 67,031 19,189 47,842 48,909 48,909 36,229 36,229 61,815 61,815 52,679 52,679 36,469 36,469 74,445 55,756 18,689 74,938 74,938 40,619 40,619 41,465 41,465 56,107 56,107 91,615 91,615 33,988 33,988 48,146 38,129 10,017 55,014 55,014 48,354 41,514 6,840 68,227 53,502 6,556 8,169 25,670 25,670 75,869 75,869 28,124 28,124 63,049 63,049 24,572 24,572 62,767 62,767 53,315 53,315 48,645 10,777 37,868 66,334 66,334 23,198 23,198 20,181 20,181 100,831 100,831 37,948 28,283 9,665 51,954 51,954 26,647 26,647 42,701 34,062 8,639 38,200 31,168 7,032 16,636 16,636 27,425 27,425 19902 (April 1) 30,974 30,974 58,352 14,571 43,781 48,052 48,052 34,500 34,500 61,963 61,963 44,506 44,506 30,777 30,777 75,574 56,393 19,181 60,686 60,686 33,070 33,070 27,637 27,637 46,302 46,302 78,274 78,274 29,370 29,370 42,964 34,001 8,963 54,191 54,191 34,341 28,981 5,360 63,022 48,925 6,055 8,042 23,794 23,794 62,649 62,649 29,382 29,382 55,853 55,853 23,645 23,645 67,935 67,935 53,619 53,619 46,578 9,237 37,341 59,567 59,567 21,555 21,555 16,419 16,419 85,709 85,709 36,158 27,682 8,476 47,227 47,227 26,551 26,551 35,963 28,297 7,666 36,748 29,625 7,123 17,654 17,654 26,004 26,004 2000– 2005 114 114 1,570 1,205 365 −944 −944 −151 −151 −139 −139 1,165 1,165 2,378 2,378 −3,578 −2,447 −1,131 −3,020 −3,020 −1,631 −1,631 5,552 5,552 4,876 4,876 8,134 8,134 3,417 3,417 2,124 1,944 180 611 611 7,154 6,416 738 1,651 1,602 152 −103 1,950 1,950 4,892 4,892 −19 −19 2,269 2,269 612 612 −3,547 −3,547 −332 −332 −1,817 −380 −1,437 1,645 1,645 −337 −337 −69 −69 5,671 5,671 188 92 96 935 935 −575 −575 1,544 1,731 −187 1,603 1,902 −299 −332 −332 −658 −658 1990– 2000 3,003 3,003 8,679 4,618 4,061 857 857 1,729 1,729 −148 −148 8,173 8,173 5,692 5,692 −1,129 −637 −492 14,252 14,252 7,549 7,549 13,828 13,828 9,805 9,805 13,341 13,341 4,618 4,618 5,182 4,128 1,054 823 823 14,013 12,533 1,480 5,205 4,577 501 127 1,876 1,876 13,220 13,220 −1,258 −1,258 7,196 7,196 927 927 −5,168 −5,168 −304 −304 2,067 1,540 527 6,767 6,767 1,643 1,643 3,762 3,762 15,122 15,122 1,790 601 1,189 4,727 4,727 96 96 6,738 5,765 973 1,452 1,543 −91 −1,018 −1,018 1,421 1,421 Percent change 2000– 2005 0.3 0.3 2.3 6.3 0.8 −1.9 −1.9 −0.4 −0.4 −0.2 −0.2 2.2 2.2 6.5 6.5 −4.8 −4.4 −6.1 −4.0 −4.0 −4.0 −4.0 13.4 13.4 8.7 8.7 8.9 8.9 10.1 10.1 4.4 5.1 1.8 1.1 1.1 14.8 15.5 10.8 2.4 3.0 2.3 −1.3 7.6 7.6 6.4 6.4 −0.1 −0.1 3.6 3.6 2.5 2.5 −5.7 −5.7 −0.6 −0.6 −3.7 −3.5 −3.8 2.5 2.5 −1.5 −1.5 −0.3 −0.3 5.6 5.6 0.5 0.3 1.0 1.8 1.8 −2.2 −2.2 3.6 5.1 −2.2 4.2 6.1 −4.3 −2.0 −2.0 −2.4 −2.4 1990– 2000 9.7 9.7 14.9 31.7 9.3 1.8 1.8 5.0 5.0 −0.2 −0.2 18.4 18.4 18.5 18.5 −1.5 −1.1 −2.6 23.5 23.5 22.8 22.8 50.0 50.0 21.2 21.2 17.0 17.0 15.7 15.7 12.1 12.1 11.8 1.5 1.5 40.8 43.2 27.6 8.3 9.4 8.3 1.6 7.9 7.9 21.1 21.1 −4.3 −4.3 12.9 12.9 3.9 3.9 −7.6 −7.6 −0.6 −0.6 4.4 16.7 1.4 11.4 11.4 7.6 7.6 22.9 22.9 17.6 17.6 5.0 2.2 14.0 10.0 10.0 0.4 0.4 18.7 20.4 12.7 4.0 5.2 −1.3 −5.8 −5.8 5.5 5.5 Total (mil. dol.) Personal income Per capita3 (dollars) Percent change 2000– 2002 3.9 3.9 4.3 4.4 4.2 1.0 1.0 4.3 4.3 3.9 3.9 3.5 3.5 6.1 6.1 3.1 3.2 2.9 11.0 11.0 −0.9 −0.9 8.0 8.0 12.9 12.9 10.4 10.4 17.5 17.5 2.6 2.6 2.6 5.2 5.2 11.4 10.9 14.6 7.6 7.7 7.0 8.1 10.7 10.7 9.0 9.0 7.3 7.3 7.7 7.7 4.4 4.4 2.3 2.3 1.1 1.1 7.4 8.6 7.0 3.3 3.3 6.6 6.6 −14.3 −14.3 12.2 12.2 3.0 4.0 0.1 7.5 7.5 7.6 7.6 7.6 6.6 13.4 5.1 5.2 4.8 7.2 7.2 7.9 7.9



2002 774.5 774.5 1,855.1 484.3 1,370.8 1,323.4 1,323.4 943.3 943.3 1,536.4 1,536.4 1,107.2 1,107.2 935.2 935.2 1,720.4 1,329.3 391.2 1,126.6 1,126.6 829.0 829.0 1,770.4 1,770.4 1,536.5 1,536.5 2,548.2 2,548.2 1,092.7 1,092.7 1,049.3 871.8 177.5 1,394.7 1,394.7 1,466.9 1,275.2 191.7 1,782.4 1,430.8 150.8 200.8 424.3 424.3 1,773.6 1,773.6 730.9 730.9 1,545.3 1,545.3 648.0 648.0 1,192.4 1,192.4 1,378.6 1,378.6 930.5 210.7 719.8 1,582.4 1,582.4 491.2 491.2 488.7 488.7 2,157.5 2,157.5 868.0 655.5 212.5 1,247.3 1,247.3 588.3 588.3 894.2 749.5 144.7 967.1 784.4 182.7 399.4 399.4 733.3 733.3



2000 745.1 745.1 1,779.0 463.8 1,315.2 1,310.8 1,310.8 904.3 904.3 1,478.8 1,478.8 1,070.1 1,070.1 881.1 881.1 1,668.6 1,288.4 380.2 1,015.2 1,015.2 836.2 836.2 1,639.5 1,639.5 1,360.8 1,360.8 2,308.0 2,308.0 929.6 929.6 1,022.7 849.7 173.0 1,325.2 1,325.2 1,317.2 1,149.9 167.3 1,655.8 1,329.1 140.9 185.8 383.4 383.4 1,626.5 1,626.5 681.1 681.1 1,434.3 1,434.3 620.8 620.8 1,165.5 1,165.5 1,363.1 1,363.1 866.8 194.1 672.7 1,531.7 1,531.7 460.9 460.9 569.9 569.9 1,923.0 1,923.0 842.7 630.3 212.4 1,160.6 1,160.6 546.8 546.8 830.9 703.4 127.6 920.1 745.8 174.2 372.7 372.7 679.4 679.4



2002 22,803 22,803 27,408 24,766 28,481 27,480 27,480 26,234 26,234 24,831 24,831 20,669 20,669 24,778 24,778 23,462 24,189 21,288 15,299 15,299 21,025 21,025 40,997 40,997 26,460 26,460 26,957 26,957 30,253 30,253 21,521 22,491 17,761 25,311 25,311 28,727 29,039 26,808 26,036 26,582 23,100 24,774 16,221 16,221 22,791 22,791 26,465 26,465 24,275 24,275 26,295 26,295 19,504 19,504 26,042 26,042 19,686 19,972 19,604 23,552 23,552 21,372 21,372 24,344 24,344 21,067 21,067 23,017 23,384 21,955 23,878 23,878 22,451 22,451 20,727 21,636 17,023 25,573 25,370 26,483 24,437 24,437 26,851 26,851



2000 21,935 21,935 26,540 24,175 27,489 26,804 26,804 24,960 24,960 23,926 23,926 20,317 20,317 24,166 24,166 22,414 23,108 20,344 13,551 13,551 20,587 20,587 39,547 39,547 24,257 24,257 25,196 25,196 27,357 27,357 21,247 22,288 17,282 24,090 24,090 27,242 27,703 24,449 24,272 24,845 21,499 22,745 14,940 14,940 21,436 21,436 24,219 24,219 22,753 22,753 25,266 25,266 18,572 18,572 25,569 25,569 17,822 18,009 17,768 23,092 23,092 19,871 19,871 28,238 28,238 19,074 19,074 22,209 22,286 21,985 22,343 22,343 20,526 20,526 19,462 20,653 14,768 24,087 23,931 24,777 22,412 22,412 24,776 24,776



Garden City, KS . . . . . . . Finney County, KS . . . . Gardnerville Ranchos, NV . Douglas County, NV . . . Georgetown, SC . . . . . . . Georgetown County, SC Gettysburg, PA . . . . . . . Adams County, PA . . . Gillette, WY . . . . . . . . . Campbell County, WY . Glasgow, KY . . . . . . . . . Barren County, KY . . . Metcalfe County, KY . . Gloversville, NY. . . . . . Fulton County, NY . . Granbury, TX . . . . . . . Hood County, TX . . . Somervell County, TX Grand Island, NE . . . . Hall County, NE . . . Howard County, NE Merrick County, NE. Grants, NM. . . . . . . . Cibola County, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Grants Pass, OR . . . . . . Josephine County, OR. Great Bend, KS . . . . . . . Barton County, KS . . . Greeneville, TN . . . . . . . Greene County, TN. . .



Greensburg, IN . . . . . . . . Decatur County, IN . . . . Greenville, MS . . . . . . . . Washington County, MS Greenville, OH . . . . . . . . Darke County, OH . . . . Greenwood, MS . . . . . . . Carroll County, MS . . . . Leflore County, MS . . . . Greenwood, SC. . . . . . . . Greenwood County, SC . Grenada, MS . . . . . . . . . Grenada County, MS. . . Guymon, OK. . . . . . . . . Texas County, OK. . . . Hammond, LA . . . . . . . . Tangipahoa Parish, LA Hannibal, MO . . . . . . . . Marion County, MO. . . Ralls County, MO . . . . Harriman, TN . . . . . . Roane County, TN . Harrisburg, IL . . . . . . Saline County, IL . . Harrison, AR . . . . . . . Boone County, AR . Newton County, AR. Hastings, NE. . . . . . . Adams County, NE . Clay County, NE. . . Havre, MT . . . . . . . . Hill County, MT . . . Hays, KS . . . . . . . . . Ellis County, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



275



Table D-1. Micropolitan Areas — Population and Personal Income—Con.

Population Micropolitan statistical area Component counties 2005 (July 1) Heber, UT . . . . . . . . . . . . . . Wasatch County, UT . . . . . . Helena, MT. . . . . . . . . . . . . . Jefferson County, MT . . . . . Lewis and Clark County, MT. Henderson, NC . . . . . . . . . . . Vance County, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,974 18,974 69,619 11,170 58,449 43,771 43,771 18,538 18,538 167,293 167,293 159,247 137,849 21,398 56,719 56,719 134,370 134,370 21,284 21,284 23,383 23,383 9,550 37,900 35,705 2,195 63,622 63,622 48,148 48,148 45,947 45,947 38,236 38,236 62,735 62,735 15,896 15,896 63,558 63,558 36,636 36,636 88,703 88,703 32,311 32,311 33,006 28,032 4,974 26,499 7,467 19,032 41,134 35,722 5,412 48,464 48,464 20,835 20,835 136,409 136,409 53,624 40,858 12,766 31,272 31,272 28,390 28,390 30,987 30,987 139,884 139,884 83,172 83,172 62,640 62,640 50,346 43,572 6,774 77,287 77,287 47,448 47,448 32,545 32,545 2004 (July 1) 18,134 18,134 68,795 10,863 57,932 43,721 43,721 18,509 18,509 162,601 162,601 155,155 133,883 21,272 56,110 56,110 130,273 130,273 21,084 21,084 33,003 23,436 9,567 37,907 35,692 2,215 63,586 63,586 47,992 47,992 45,920 45,920 38,110 38,110 62,761 62,761 16,008 16,008 63,556 63,556 36,199 36,199 88,929 88,929 32,558 32,558 32,688 27,671 5,017 26,209 7,208 19,001 41,383 35,960 5,423 48,096 48,096 20,930 20,930 137,143 137,143 53,527 40,600 12,927 31,179 31,179 28,092 28,092 31,111 31,111 138,004 138,004 81,114 81,114 61,836 61,836 50,265 43,411 6,854 76,784 76,784 47,154 47,154 32,420 32,420 Net change 20001 (estimates base) 15,436 15,436 65,967 10,085 55,882 43,156 43,156 18,519 18,519 149,285 149,285 142,741 122,022 20,719 55,192 55,192 118,656 118,656 20,480 20,480 33,505 23,577 9,928 38,274 35,965 2,309 63,076 63,076 48,172 48,172 45,598 45,598 38,100 38,100 61,695 61,695 16,978 16,978 64,687 64,687 34,874 34,874 89,531 89,531 34,281 34,281 32,582 27,481 5,101 24,466 6,108 18,358 42,158 36,609 5,549 46,683 46,683 21,853 21,853 139,599 139,599 52,524 39,704 12,820 31,409 31,409 26,617 26,617 30,680 30,680 128,781 128,781 74,743 74,743 58,536 58,536 49,201 42,316 6,885 73,994 73,994 46,438 46,438 33,105 33,105 19902 (April 1) 10,089 10,089 55,434 7,939 47,495 38,892 38,892 19,153 19,153 120,317 120,317 101,912 86,425 15,487 55,765 55,765 93,515 93,515 16,903 16,903 31,722 21,621 10,101 37,147 35,446 1,701 62,982 62,982 46,315 46,315 44,164 44,164 35,427 35,427 50,917 50,917 18,253 18,253 62,389 62,389 32,030 32,030 89,994 89,994 32,867 32,867 31,421 26,831 4,590 14,611 3,439 11,172 42,041 36,397 5,644 41,049 41,049 22,241 22,241 141,895 141,895 49,125 36,616 12,509 30,722 30,722 22,356 22,356 26,751 26,751 100,374 100,374 59,218 59,218 51,177 51,177 44,076 37,447 6,629 70,121 70,121 37,877 37,877 33,112 33,112 2000– 2005 3,538 3,538 3,652 1,085 2,567 615 615 19 19 18,008 18,008 16,506 15,827 679 1,527 1,527 15,714 15,714 804 804 −10,122 −194 −378 −374 −260 −114 546 546 −24 −24 349 349 136 136 1,040 1,040 −1,082 −1,082 −1,129 −1,129 1,762 1,762 −828 −828 −1,970 −1,970 424 551 −127 2,033 1,359 674 −1,024 −887 −137 1,781 1,781 −1,018 −1,018 −3,190 −3,190 1,100 1,154 −54 −137 −137 1,773 1,773 307 307 11,103 11,103 8,429 8,429 4,104 4,104 1,145 1,256 −111 3,293 3,293 1,010 1,010 −560 −560 1990– 2000 5,347 5,347 10,533 2,146 8,387 4,264 4,264 −634 −634 28,968 28,968 40,829 35,597 5,232 −573 −573 25,141 25,141 3,577 3,577 1,783 1,956 −173 1,127 519 608 94 94 1,857 1,857 1,434 1,434 2,673 2,673 10,778 10,778 −1,275 −1,275 2,298 2,298 2,844 2,844 −463 −463 1,414 1,414 1,161 650 511 9,855 2,669 7,186 117 212 −95 5,634 5,634 −388 −388 −2,296 −2,296 3,399 3,088 311 687 687 4,261 4,261 3,929 3,929 28,407 28,407 15,525 15,525 7,359 7,359 5,125 4,869 256 3,873 3,873 8,561 8,561 −7 −7 Percent change 2000– 2005 22.9 22.9 5.5 10.8 4.6 1.4 1.4 0.1 0.1 12.1 12.1 11.6 13.0 3.3 2.8 2.8 13.2 13.2 3.9 3.9 −30.2 −0.8 −3.8 −1.0 −0.7 −4.9 0.9 0.9 0.0 0.0 0.8 0.8 0.4 0.4 1.7 1.7 −6.4 −6.4 −1.7 −1.7 5.1 5.1 −0.9 −0.9 −5.7 −5.7 1.3 2.0 −2.5 8.3 22.2 3.7 −2.4 −2.4 −2.5 3.8 3.8 −4.7 −4.7 −2.3 −2.3 2.1 2.9 −0.4 −0.4 −0.4 6.7 6.7 1.0 1.0 8.6 8.6 11.3 11.3 7.0 7.0 2.3 3.0 −1.6 4.5 4.5 2.2 2.2 −1.7 −1.7 1990– 2000 53.0 53.0 19.0 27.0 17.7 11.0 11.0 −3.3 −3.3 24.1 24.1 40.1 41.2 33.8 −1.0 −1.0 26.9 26.9 21.2 21.2 5.6 9.0 −1.7 3.0 1.5 35.7 0.1 0.1 4.0 4.0 3.2 3.2 7.5 7.5 21.2 21.2 −7.0 −7.0 3.7 3.7 8.9 8.9 −0.5 −0.5 4.3 4.3 3.7 2.4 11.1 67.4 77.6 64.3 0.3 0.6 −1.7 13.7 13.7 −1.7 −1.7 −1.6 −1.6 6.9 8.4 2.5 2.2 2.2 19.1 19.1 14.7 14.7 28.3 28.3 26.2 26.2 14.4 14.4 11.6 13.0 3.9 5.5 5.5 22.6 22.6 0.0 0.0 Total (mil. dol.) Personal income Per capita3 (dollars) Percent change 2000– 2002 13.9 13.9 8.4 5.9 8.8 6.1 6.1 −8.5 −8.5 14.1 14.1 14.1 14.6 9.6 13.4 13.4 9.6 9.6 6.7 6.7 8.0 7.9 8.2 4.8 4.9 3.4 1.7 1.7 3.1 3.1 6.3 6.3 1.9 1.9 5.4 5.4 −0.3 −0.3 2.4 2.4 4.3 4.3 5.5 5.5 −2.1 −2.1 7.4 7.2 9.2 15.4 20.5 14.9 3.5 4.0 −0.4 9.8 9.8 6.3 6.3 3.1 3.1 5.2 5.8 2.5 8.7 8.7 6.1 6.1 4.1 4.1 11.4 11.4 10.4 10.4 6.9 6.9 9.0 9.6 5.5 7.1 7.1 3.1 3.1 5.6 5.6



2002 366.0 366.0 1,817.4 267.0 1,550.4 960.4 960.4 413.2 413.2 3,645.6 3,645.6 4,938.1 4,536.5 401.6 1,251.5 1,251.5 2,887.3 2,887.3 498.6 498.6 677.8 475.1 202.7 782.9 733.0 49.9 1,832.4 1,832.4 1,109.1 1,109.1 940.8 940.8 982.4 982.4 1,104.8 1,104.8 455.3 455.3 1,586.3 1,586.3 970.5 970.5 2,116.5 2,116.5 525.9 525.9 865.0 743.8 121.2 1,462.8 137.1 1,325.7 981.5 868.5 113.0 1,135.7 1,135.7 550.0 550.0 3,078.9 3,078.9 1,537.0 1,257.8 279.2 573.9 573.9 569.3 569.3 1,110.2 1,110.2 3,611.2 3,611.2 1,981.2 1,981.2 1,506.9 1,506.9 1,261.3 1,071.2 190.2 2,236.3 2,236.3 1,115.0 1,115.0 679.5 679.5



2000 321.3 321.3 1,676.4 252.0 1,424.4 905.1 905.1 451.6 451.6 3,195.3 3,195.3 4,326.4 3,959.9 366.6 1,103.5 1,103.5 2,635.4 2,635.4 467.3 467.3 627.8 440.4 187.4 747.3 699.0 48.3 1,802.6 1,802.6 1,075.8 1,075.8 884.7 884.7 964.0 964.0 1,047.7 1,047.7 456.6 456.6 1,549.5 1,549.5 930.3 930.3 2,005.3 2,005.3 537.2 537.2 805.0 694.1 110.9 1,267.2 113.8 1,153.5 948.7 835.2 113.5 1,034.7 1,034.7 517.5 517.5 2,985.2 2,985.2 1,461.1 1,188.8 272.4 528.0 528.0 536.4 536.4 1,066.5 1,066.5 3,240.7 3,240.7 1,793.9 1,793.9 1,410.1 1,410.1 1,157.3 977.1 180.2 2,087.6 2,087.6 1,081.6 1,081.6 643.7 643.7



2002 21,627 21,627 27,180 25,696 27,453 21,880 21,880 22,498 22,498 23,547 23,547 32,745 34,935 19,171 22,503 22,503 23,341 23,341 24,151 24,151 20,447 20,264 20,888 20,434 20,319 22,288 28,980 28,980 23,063 23,063 20,519 20,519 25,715 25,715 17,899 17,899 27,501 27,501 24,789 24,789 27,224 27,224 23,802 23,802 15,537 15,537 26,720 27,298 23,648 57,632 20,072 71,457 23,606 24,079 20,509 24,165 24,165 25,716 25,716 22,263 22,263 29,045 31,466 21,571 18,449 18,449 21,037 21,037 36,086 36,086 27,087 27,087 25,583 25,583 25,132 25,132 25,392 24,995 27,892 29,842 29,842 23,728 23,728 20,704 20,704



2000 20,819 20,819 25,416 24,994 25,493 20,976 20,976 24,392 24,392 21,409 21,409 30,317 32,464 17,683 19,998 19,998 22,215 22,215 22,821 22,821 18,742 18,686 18,874 19,507 19,417 20,900 28,580 28,580 22,335 22,335 19,403 19,403 25,304 25,304 16,985 16,985 26,892 26,892 23,955 23,955 26,678 26,678 22,396 22,396 15,672 15,672 24,710 25,258 21,759 51,798 18,612 62,852 22,504 22,813 20,462 22,167 22,167 23,686 23,686 21,385 21,385 27,820 29,941 21,251 16,812 16,812 20,155 20,155 34,772 34,772 25,141 25,141 24,004 24,004 24,089 24,089 23,520 23,088 26,179 28,217 28,217 23,292 23,292 19,445 19,445



Hereford, TX . . . . . . . . . . . . . . Deaf Smith County, TX . . . . . Hilo, HI . . . . . . . . . . . . . . . . . Hawaii County, HI. . . . . . . . . Hilton Head Island-Beaufort, SC . Beaufort County, SC . . . . . . . Jasper County, SC . . . . . . . . Hobbs, NM . . . . . . . . . . . Lea County, NM . . . . . . Homosassa Springs, FL . . Citrus County, FL . . . . . Hood River, OR . . . . . . . . Hood River County, OR . Hope, AR . . . . . . . . . . . . Hempstead County, AR . Nevada County, AR . . . Houghton, MI . . . . . . . . . Houghton County, MI . . Keweenaw County, MI. . Hudson, NY . . . . . . . . . Columbia County, NY . Humboldt, TN . . . . . . . . Gibson County, TN . . . Huntingdon, PA . . . . . . . Huntingdon County, PA Huntington, IN . . . . . . . . Huntington County, IN . Huntsville, TX . . . . . . . . Walker County, TX . . . Huron, SD . . . . . . . . . . Beadle County, SD . . . Hutchinson, KS . . . . . . Reno County, KS . . . Hutchinson, MN. . . . . . McLeod County, MN . Indiana, PA. . . . . . . . . Indiana County, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Indianola, MS . . . . . . . . Sunflower County, MS . Iron Mountain, MI-WI . . . Dickinson County, MI . Florence County, WI . . Jackson, WY-ID. . . . . . . Teton County, ID . . . . Teton County, WY. . . . Jacksonville, IL . . . . . . Morgan County, IL . . Scott County, IL . . . . Jacksonville, TX . . . . . Cherokee County, TX Jamestown, ND . . . . . . Stutsman County, ND . . . . . . .



Jamestown-Dunkirk-Fredonia, NY . Chautauqua County, NY . . . . . Jasper, IN . . . . . . . . . . . . . . . . Dubois County, IN . . . . . . . . . Pike County, IN . . . . . . . . . . . Jennings, LA. . . . . . . . . . . . . . . Jefferson Davis Parish, LA . . . . Jesup, GA . . . . . . . . . . . . . . . Wayne County, GA . . . . . . . . Juneau, AK. . . . . . . . . . . . . . . Juneau City and Borough, AK . Kahului-Wailuku, HI . . . . . . . . . Maui County, HI . . . . . . . . . . Kalispell, MT . . . . . . . . Flathead County, MT. Kapaa, HI. . . . . . . . . . Kauai County, HI . . . Kearney, NE . . . . . . . . Buffalo County, NE . . Kearney County, NE . Keene, NH . . . . . . . . . Cheshire County, NH Kendallville, IN . . . . . . Noble County, IN . . . Kennett, MO . . . . . . . . Dunklin County, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



276



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table D-1. Micropolitan Areas — Population and Personal Income—Con.

Population Micropolitan statistical area Component counties 2005 (July 1) Keokuk-Fort Madison, IA-MO . . . . . Lee County, IA . . . . . . . . . . . . . Clark County, MO . . . . . . . . . . . Kerrville, TX . . . . . . . . . . . . . . . . Kerr County, TX . . . . . . . . . . . . Ketchikan, AK . . . . . . . . . . . . . . . Ketchikan Gateway Borough, AK . Key West-Marathon, FL Monroe County, FL . . Kill Devil Hills, NC . . . . Dare County, NC . . . Kingsville, TX . . . . . . . Kenedy County, TX. . Kleberg County, TX. . Kinston, NC . . . . . . . . Lenoir County, NC . . Kirksville, MO . . . . . . . Adair County, MO . . . Schuyler County, MO Klamath Falls, OR . . . . Klamath County, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,705 36,705 7,323 46,496 46,496 13,262 13,262 76,329 76,329 33,903 33,903 31,174 417 30,757 57,961 57,961 28,817 24,509 4,308 66,192 66,192 13,051 13,051 61,547 61,547 40,686 40,686 24,540 24,540 62,015 62,015 64,040 64,040 187,200 187,200 14,256 14,256 63,113 63,113 30,890 30,890 29,530 29,530 84,322 18,162 66,160 37,180 37,180 41,101 41,101 34,492 34,492 172,023 84,708 29,287 58,028 22,787 22,787 43,131 43,131 28,372 28,372 46,235 46,235 26,637 24,617 2,020 96,518 96,518 23,274 23,274 30,603 30,603 69,851 69,851 37,439 37,439 40,130 40,130 56,338 56,338 2004 (July 1) 44,093 36,745 7,348 45,943 45,943 13,229 13,229 78,016 78,016 33,584 33,584 31,306 407 30,899 58,155 58,155 28,935 24,626 4,309 65,268 65,268 13,231 13,231 60,984 60,984 40,570 40,570 24,445 24,445 61,132 61,132 61,710 61,710 179,563 179,563 14,257 14,257 62,950 62,950 31,397 31,397 29,488 29,488 83,787 18,144 65,643 37,077 37,077 40,743 40,743 33,649 33,649 171,441 84,187 29,190 58,064 22,779 22,779 42,881 42,881 27,950 27,950 46,191 46,191 26,598 24,551 2,047 94,950 94,950 23,256 23,256 30,715 30,715 68,089 68,089 37,311 37,311 40,324 40,324 55,796 55,796 Net change 20001 (estimates base) 45,331 37,939 7,392 43,838 43,838 13,982 13,982 79,480 79,480 30,195 30,195 31,932 415 31,517 59,499 59,499 29,098 24,925 4,173 63,932 63,932 13,980 13,980 56,578 56,578 39,940 39,940 24,548 24,548 58,937 58,937 56,760 56,760 156,272 156,272 14,959 14,959 61,404 61,404 31,833 31,833 30,096 30,096 83,106 18,124 64,982 36,022 36,022 39,962 39,962 32,594 32,594 167,637 81,826 28,310 57,501 22,664 22,664 41,659 41,659 26,878 26,878 46,498 46,498 26,551 24,408 2,143 86,529 86,529 22,552 22,552 31,156 31,156 64,049 64,049 37,929 37,929 40,979 40,979 52,928 52,928 19902 (April 1) 46,234 38,687 7,547 36,304 36,304 13,828 13,828 78,024 78,024 22,746 22,746 30,734 460 30,274 57,274 57,274 28,813 24,577 4,236 57,702 57,702 13,309 13,309 49,216 49,216 35,079 35,079 23,598 23,598 55,536 55,536 42,613 42,613 93,497 93,497 14,349 14,349 54,516 54,516 30,797 30,797 25,743 25,743 79,145 17,114 62,031 33,754 33,754 35,303 35,303 27,158 27,158 155,133 74,929 26,149 54,055 24,199 24,199 36,176 36,176 21,539 21,539 46,197 46,197 21,868 19,940 1,928 75,974 75,974 18,743 18,743 30,798 30,798 50,319 50,319 37,182 37,182 38,413 38,413 43,438 43,438 2000– 2005 −8,626 −1,234 −69 2,658 2,658 −720 −720 −3,151 −3,151 3,708 3,708 −758 2 −760 −1,538 −1,538 −281 −416 135 2,260 2,260 −929 −929 4,969 4,969 746 746 −8 −8 3,078 3,078 7,280 7,280 30,928 30,928 −703 −703 1,709 1,709 −943 −943 −566 −566 1,216 38 1,178 1,158 1,158 1,139 1,139 1,898 1,898 4,386 2,882 977 527 123 123 1,472 1,472 1,494 1,494 −263 −263 86 209 −123 9,989 9,989 722 722 −553 −553 5,802 5,802 −490 −490 −849 −849 3,410 3,410 1990– 2000 −903 −748 −155 7,534 7,534 154 154 1,456 1,456 7,449 7,449 1,198 −45 1,243 2,225 2,225 285 348 −63 6,230 6,230 671 671 7,362 7,362 4,861 4,861 950 950 3,401 3,401 14,147 14,147 62,775 62,775 610 610 6,888 6,888 1,036 1,036 4,353 4,353 3,961 1,010 2,951 2,268 2,268 4,659 4,659 5,436 5,436 12,504 6,897 2,161 3,446 −1,535 −1,535 5,483 5,483 5,339 5,339 301 301 4,683 4,468 215 10,555 10,555 3,809 3,809 358 358 13,730 13,730 747 747 2,566 2,566 9,490 9,490 Percent change 2000– 2005 −19.0 −3.3 −0.9 6.1 6.1 −5.1 −5.1 −4.0 −4.0 12.3 12.3 −2.4 0.5 −2.4 −2.6 −2.6 −1.0 −1.7 3.2 3.5 3.5 −6.6 −6.6 8.8 8.8 1.9 1.9 0.0 0.0 5.2 5.2 12.8 12.8 19.8 19.8 −4.7 −4.7 2.8 2.8 −3.0 −3.0 −1.9 −1.9 1.5 0.2 1.8 3.2 3.2 2.9 2.9 5.8 5.8 2.6 3.5 3.5 0.9 0.5 0.5 3.5 3.5 5.6 5.6 −0.6 −0.6 0.3 0.9 −5.7 11.5 11.5 3.2 3.2 −1.8 −1.8 9.1 9.1 −1.3 −1.3 −2.1 −2.1 6.4 6.4 1990– 2000 −2.0 −1.9 −2.1 20.8 20.8 1.1 1.1 1.9 1.9 32.7 32.7 3.9 −9.8 4.1 3.9 3.9 1.0 1.4 −1.5 10.8 10.8 5.0 5.0 15.0 15.0 13.9 13.9 4.0 4.0 6.1 6.1 33.2 33.2 67.1 67.1 4.3 4.3 12.6 12.6 3.4 3.4 16.9 16.9 5.0 5.9 4.8 6.7 6.7 13.2 13.2 20.0 20.0 8.1 9.2 8.3 6.4 −6.3 −6.3 15.2 15.2 24.8 24.8 0.7 0.7 21.4 22.4 11.2 13.9 13.9 20.3 20.3 1.2 1.2 27.3 27.3 2.0 2.0 6.7 6.7 21.8 21.8 Total (mil. dol.) Personal income Per capita3 (dollars) Percent change 2000– 2002 1.6 1.9 0.0 13.9 13.9 4.3 4.3 4.6 4.6 14.5 14.5 9.4 −0.4 9.6 0.3 0.3 7.0 6.6 9.3 8.6 8.6 7.1 7.1 12.4 12.4 14.7 14.7 4.9 4.9 6.0 6.0 7.4 7.4 13.3 13.3 3.3 3.3 5.9 5.9 13.0 13.0 19.0 19.0 9.0 12.5 8.2 2.6 2.6 6.5 6.5 8.9 8.9 8.9 9.0 12.5 7.4 8.0 8.0 6.7 6.7 6.1 6.1 6.4 6.4 3.4 3.0 7.8 10.1 10.1 2.6 2.6 2.8 2.8 4.8 4.8 8.6 8.6 0.8 0.8 5.7 5.7



2002 1,055.0 904.8 150.2 1,318.5 1,318.5 501.7 501.7 3,075.9 3,075.9 928.2 928.2 632.2 10.5 621.6 1,407.6 1,407.6 606.8 524.9 82.0 1,479.2 1,479.2 399.8 399.8 1,912.4 1,912.4 815.2 815.2 586.6 586.6 1,503.1 1,503.1 1,141.7 1,141.7 3,295.3 3,295.3 279.0 279.0 1,338.4 1,338.4 839.1 839.1 590.8 590.8 1,821.2 339.5 1,481.8 759.3 759.3 861.1 861.1 689.0 689.0 5,330.1 2,795.7 746.6 1,787.7 501.1 501.1 974.6 974.6 699.2 699.2 1,011.9 1,011.9 603.7 550.1 53.6 2,763.7 2,763.7 511.0 511.0 708.5 708.5 1,565.1 1,565.1 859.7 859.7 1,014.0 1,014.0 1,114.9 1,114.9



2000 1,038.2 888.0 150.2 1,157.9 1,157.9 480.9 480.9 2,941.5 2,941.5 810.8 810.8 577.9 10.6 567.4 1,403.2 1,403.2 567.2 492.2 75.0 1,362.1 1,362.1 373.2 373.2 1,701.9 1,701.9 710.7 710.7 559.0 559.0 1,418.6 1,418.6 1,063.4 1,063.4 2,908.2 2,908.2 270.1 270.1 1,264.3 1,264.3 742.8 742.8 496.2 496.2 1,671.6 301.9 1,369.7 739.9 739.9 808.5 808.5 632.7 632.7 4,892.9 2,565.1 663.5 1,664.3 463.8 463.8 913.1 913.1 659.3 659.3 951.4 951.4 583.9 534.1 49.7 2,511.1 2,511.1 498.0 498.0 689.2 689.2 1,493.2 1,493.2 791.3 791.3 1,005.9 1,005.9 1,054.6 1,054.6



2002 23,717 24,455 20,067 29,416 29,416 37,012 37,012 38,905 38,905 28,908 28,908 19,976 25,650 19,901 23,936 23,936 20,791 21,021 19,433 23,002 23,002 29,255 29,255 32,318 32,318 20,409 20,409 24,007 24,007 25,121 25,121 19,547 19,547 19,914 19,914 19,208 19,208 21,513 21,513 26,379 26,379 19,851 19,851 21,856 18,571 22,780 21,284 21,284 21,200 21,200 20,932 20,932 31,366 33,574 25,913 30,905 22,100 22,100 23,091 23,091 25,524 25,524 21,772 21,772 22,780 22,522 25,818 30,658 30,658 22,222 22,222 22,984 22,984 23,638 23,638 22,888 22,888 25,000 25,000 20,468 20,468



2000 22,905 23,406 20,329 26,420 26,420 34,391 34,391 37,019 37,019 26,853 26,853 18,098 25,504 18,000 23,589 23,589 19,475 19,729 17,960 21,307 21,307 26,681 26,681 30,082 30,082 17,795 17,795 22,767 22,767 24,073 24,073 18,736 18,736 18,613 18,613 18,051 18,051 20,594 20,594 23,322 23,322 16,489 16,489 20,117 16,659 21,081 20,544 20,544 20,235 20,235 19,410 19,410 29,183 31,338 23,438 28,944 20,463 20,463 21,917 21,917 24,532 24,532 20,464 20,464 21,988 21,880 23,222 29,026 29,026 22,093 22,093 22,123 22,123 23,316 23,316 20,866 20,866 24,546 24,546 19,928 19,928



Kodiak, AK . . . . . . . . . . . . . Kodiak Island Borough, AK. Laconia, NH . . . . . . . . . . . . Belknap County, NH . . . . . La Follette, TN . . . . . . . . . . Campbell County, TN . . . . La Grande, OR . . . . . . . . . . Union County, OR . . . . . .



LaGrange, GA. . . . . . . . . . . . Troup County, GA. . . . . . . . Lake City, FL . . . . . . . . . . . . Columbia County, FL. . . . . . Lake Havasu City-Kingman, AZ Mohave County, AZ . . . . . . Lamesa, TX . . . . . . . . . . . . . Dawson County, TX . . . . . . Lancaster, SC . . . . . . . . . Lancaster County, SC . . Laramie, WY. . . . . . . . . . Albany County, WY. . . . Las Vegas, NM . . . . . . . . San Miguel County, NM . Laurel, MS . . . . . . . . . Jasper County, MS . . Jones County, MS . . Laurinburg, NC . . . . . . Scotland County, NC. Lawrenceburg, TN . . . . Lawrence County, TN Lebanon, MO . . . . . . . Laclede County, MO . Lebanon, NH-VT . . . . . Grafton County, NH . Orange County, VT . . Windsor County, VT . Levelland, TX . . . . . . Hockley County, TX Lewisburg, PA . . . . . . Union County, PA . . Lewisburg, TN. . . . . . Marshall County, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Lewistown, PA. . . . . . . . Mifflin County, PA . . . . Lexington, NE . . . . . . . . Dawson County, NE . . Gosper County, NE. . . Lexington Park, MD . . . . St. Mary’s County, MD. Liberal, KS . . . . . . . . Seward County, KS. Lincoln, IL . . . . . . . . Logan County, IL . . Lincolnton, NC . . . . . Lincoln County, NC . Lock Haven, PA. . . . Clinton County, PA Logansport, IN . . . . Cass County, IN . . London, KY . . . . . . Laurel County, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



277



Table D-1. Micropolitan Areas — Population and Personal Income—Con.

Population Micropolitan statistical area Component counties 2005 (July 1) Los Alamos, NM . . . . . . . Los Alamos County, NM Lufkin, TX. . . . . . . . . . . . Angelina County, TX . . . Lumberton, NC . . . . . . . . Robeson County, NC . . Macomb, IL . . . . . . . . . McDonough County, IL Madison, IN . . . . . . . . . Jefferson County, IN . . Madisonville, KY . . . . . . Hopkins County, KY . . Magnolia, AR . . . . . . . Columbia County, AR Malone, NY . . . . . . . . Franklin County, NY . Manhattan, KS . . . . . . Geary County, KS. . . Pottawatomie County, Riley County, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,822 18,822 81,557 81,557 127,586 127,586 31,966 31,966 32,430 32,430 46,705 46,705 24,695 24,695 51,033 51,033 106,540 24,585 19,129 62,826 81,949 81,949 88,878 58,030 30,848 68,402 24,996 43,406 70,557 70,557 65,932 65,932 63,617 63,617 64,760 64,760 24,472 24,472 23,075 23,075 63,459 63,459 39,418 39,418 33,732 33,732 71,426 56,501 14,925 21,710 21,710 52,413 44,645 7,768 37,625 37,625 31,012 13,872 17,140 44,641 44,641 52,861 13,435 39,426 39,753 39,753 29,523 29,523 89,442 89,442 41,708 41,708 105,134 17,670 10,246 77,218 30,319 30,319 25,759 25,759 32,866 32,866 29,665 29,665 2004 (July 1) 18,753 18,753 81,272 81,272 126,263 126,263 32,301 32,301 32,204 32,204 46,736 46,736 24,885 24,885 50,931 50,931 107,104 25,145 18,890 63,069 81,822 81,822 88,234 57,385 30,849 68,366 25,119 43,247 71,256 71,256 66,073 66,073 63,124 63,124 64,903 64,903 24,595 24,595 23,017 23,017 62,924 62,924 39,441 39,441 33,658 33,658 71,786 56,875 14,911 21,708 21,708 52,581 44,836 7,745 37,352 37,352 30,769 13,853 16,916 44,239 44,239 52,517 13,420 39,097 39,502 39,502 29,413 29,413 89,725 89,725 41,460 41,460 105,572 17,703 10,373 77,496 30,205 30,205 25,670 25,670 32,818 32,818 29,724 29,724 Net change 20001 (estimates base) 18,287 18,287 80,264 80,264 123,399 123,399 32,860 32,860 31,726 31,726 46,479 46,479 25,572 25,572 51,124 51,124 108,794 27,733 18,286 62,775 82,940 82,940 85,819 55,915 29,904 68,753 25,296 43,457 73,277 73,277 66,147 66,147 61,244 61,244 64,614 64,614 25,434 25,434 23,742 23,742 62,095 62,095 39,324 39,324 34,895 34,895 73,306 57,972 15,334 21,864 21,864 54,247 46,336 7,911 37,077 37,077 30,931 14,133 16,798 43,969 43,969 52,576 13,584 38,992 38,405 38,405 29,584 29,584 90,390 90,390 39,956 39,956 106,485 17,969 10,428 78,088 29,715 29,715 25,802 25,802 33,253 33,253 30,043 30,043 19902 (April 1) 18,115 18,115 69,884 69,884 105,179 105,179 35,244 35,244 29,797 29,797 46,126 46,126 25,691 25,691 46,540 46,540 113,720 30,453 16,128 67,139 80,421 80,421 82,120 54,044 28,076 65,468 24,920 40,548 74,169 74,169 64,274 64,274 57,733 57,733 70,887 70,887 24,789 24,789 23,523 23,523 57,483 57,483 38,276 38,276 31,972 31,972 73,104 56,942 16,162 21,709 21,709 54,724 46,733 7,991 33,550 33,550 29,695 13,029 16,666 40,581 40,581 50,210 13,328 36,882 32,992 32,992 27,268 27,268 86,169 86,169 35,909 35,909 103,224 17,313 10,356 75,555 26,993 26,993 23,599 23,599 30,561 30,561 31,506 31,506 2000– 2005 535 535 1,293 1,293 4,187 4,187 −894 −894 704 704 226 226 −877 −877 −91 −91 −2,254 −3,148 843 51 −991 −991 3,059 2,115 944 −351 −300 −51 −2,720 −2,720 −215 −215 2,373 2,373 146 146 −962 −962 −667 −667 1,364 1,364 94 94 −1,163 −1,163 −1,880 −1,471 −409 −154 −154 −1,834 −1,691 −143 548 548 81 −261 342 672 672 285 −149 434 1,348 1,348 −61 −61 −948 −948 1,752 1,752 −1,351 −299 −182 −870 604 604 −43 −43 −387 −387 −378 −378 1990– 2000 172 172 10,380 10,380 18,220 18,220 −2,384 −2,384 1,929 1,929 353 353 −119 −119 4,584 4,584 −4,926 −2,720 2,158 −4,364 2,519 2,519 3,699 1,871 1,828 3,285 376 2,909 −892 −892 1,873 1,873 3,511 3,511 −6,273 −6,273 645 645 219 219 4,612 4,612 1,048 1,048 2,923 2,923 202 1,030 −828 155 155 −477 −397 −80 3,527 3,527 1,236 1,104 132 3,388 3,388 2,366 256 2,110 5,413 5,413 2,316 2,316 4,221 4,221 4,047 4,047 3,261 656 72 2,533 2,722 2,722 2,203 2,203 2,692 2,692 −1,463 −1,463 Percent change 2000– 2005 2.9 2.9 1.6 1.6 3.4 3.4 −2.7 −2.7 2.2 2.2 0.5 0.5 −3.4 −3.4 −0.2 −0.2 −2.1 −11.4 4.6 0.1 −1.2 −1.2 3.6 3.8 3.2 −0.5 −1.2 −0.1 −3.7 −3.7 −0.3 −0.3 3.9 3.9 0.2 0.2 −3.8 −3.8 −2.8 −2.8 2.2 2.2 0.2 0.2 −3.3 −3.3 −2.6 −2.5 −2.7 −0.7 −0.7 −3.4 −3.6 −1.8 1.5 1.5 0.3 −1.8 2.0 1.5 1.5 0.5 −1.1 1.1 3.5 3.5 −0.2 −0.2 −1.0 −1.0 4.4 4.4 −1.3 −1.7 −1.7 −1.1 2.0 2.0 −0.2 −0.2 −1.2 −1.2 −1.3 −1.3 1990– 2000 0.9 0.9 14.9 14.9 17.3 17.3 −6.8 −6.8 6.5 6.5 0.8 0.8 −0.5 −0.5 9.8 9.8 −4.3 −8.9 13.4 −6.5 3.1 3.1 4.5 3.5 6.5 5.0 1.5 7.2 −1.2 −1.2 2.9 2.9 6.1 6.1 −8.8 −8.8 2.6 2.6 0.9 0.9 8.0 8.0 2.7 2.7 9.1 9.1 0.3 1.8 −5.1 0.7 0.7 −0.9 −0.8 −1.0 10.5 10.5 4.2 8.5 0.8 8.3 8.3 4.7 1.9 5.7 16.4 16.4 8.5 8.5 4.9 4.9 11.3 11.3 3.2 3.8 0.7 3.4 10.1 10.1 9.3 9.3 8.8 8.8 −4.6 −4.6

4



Personal income Total (mil. dol.) Per capita3 (dollars) Percent change 2000– 2002 16.4 16.4 10.8 10.8 3.3 3.3 4.0 4.0 6.7 6.7 5.5 5.5 7.3 7.3 6.8 6.8 8.5 8.3 10.9 7.9 3.0 3.0 7.8 8.9 6.0 5.1 0.7 7.6 7.5 7.5 5.6 5.6 9.4 9.4 4.3 4.3 6.9 6.9 4.2 4.2 6.4 6.4 7.6 7.6 3.6 3.6 6.0 6.0 (4) 3.6 3.6 5.2 6.0 −0.3

4



2002 887.5 887.5 1,991.2 1,991.2 2,286.4 2,286.4 710.2 710.2 727.1 727.1 1,070.2 1,070.2 597.7 597.7 1,027.0 1,027.0 2,700.2 715.3 485.2 1,499.7 2,233.2 2,233.2 2,418.5 1,577.2 841.3 1,620.5 559.2 1,061.3 1,763.8 1,763.8 1,574.0 1,574.0 1,496.8 1,496.8 1,504.2 1,504.2 705.7 705.7 557.5 557.5 1,424.5 1,424.5 1,078.5 1,078.5 742.0 742.0 1,676.8 1,676.8 (4) 430.6 430.6 1,461.8 1,289.4 172.4 818.5 818.5 598.7 208.4 390.2 910.7 910.7 1,037.1 262.4 774.7 870.8 870.8 805.6 805.6 2,020.0 2,020.0 932.2 932.2 2,423.3 349.2 190.7 1,883.5 737.3 737.3 572.0 572.0 653.6 653.6 525.5 525.5



2000 762.3 762.3 1,797.8 1,797.8 2,212.7 2,212.7 682.8 682.8 681.4 681.4 1,014.2 1,014.2 556.9 556.9 962.0 962.0 2,487.7 660.2 437.5 1,390.0 2,169.1 2,169.1 2,242.5 1,448.8 793.8 1,541.8 555.1 986.7 1,641.5 1,641.5 1,490.2 1,490.2 1,367.9 1,367.9 1,441.9 1,441.9 660.2 660.2 534.8 534.8 1,338.8 1,338.8 1,002.2 1,002.2 716.4 716.4

4



2002 48,485 48,485 24,775 24,775 18,328 18,328 21,516 21,516 22,546 22,546 23,039 23,039 23,642 23,642 20,232 20,232 25,386 27,077 26,330 24,377 27,097 27,097 27,702 27,763 27,590 23,651 22,245 24,466 24,474 24,474 23,759 23,759 24,101 24,101 23,262 23,262 28,259 28,259 24,231 24,231 22,806 22,806 27,486 27,486 21,625 21,625

4



2000 41,669 41,669 22,403 22,403 17,935 17,935 20,773 20,773 21,478 21,478 21,825 21,825 21,776 21,776 18,819 18,819 22,835 23,784 23,929 22,099 26,152 26,152 26,126 25,907 26,535 22,430 21,948 22,710 22,403 22,403 22,533 22,533 22,341 22,341 22,315 22,315 25,954 25,954 22,529 22,529 21,565 21,565 25,485 25,485 20,526 20,526

4



... ... ... ... ... ... KS. ...



Manitowoc, WI . . . . . . . . . . Manitowoc County, WI. . . . Mankato-North Mankato, MN . Blue Earth County, MN . . . Nicollet County, MN . . . . . Marinette, WI-MI . . . . . . . . . Menominee County, MI . . . Marinette County, WI. . . . . Marion, IN . . . . . . . . . Grant County, IN . . . Marion, OH. . . . . . . . . Marion County, OH . . Marion-Herrin, IL . . . . . Williamson County, IL Marquette, MI . . . . . . . Marquette County, MI Marshall, MN . . . . . . . Lyon County, MN . . . Marshall, MO . . . . . . . Saline County, MO . . Marshall, TX . . . . . . . . Harrison County, TX . Marshalltown, IA . . . . . Marshall County, IA. . Martin, TN . . . . . . . . . Weakley County, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Martinsville, VA . . . . . . . . Henry County, VA . . . . . Martinsville city, VA . . . . Maryville, MO . . . . . . . . . Nodaway County, MO . . Mason City, IA. . . . . . . . . Cerro Gordo County, IA . Worth County, IA . . . . . Mayfield, KY . . . . . . . . Graves County, KY . . Maysville, KY . . . . . . . Lewis County, KY . . . Mason County, KY . . McAlester, OK . . . . . . . Pittsburg County, OK. . . . . . . . . . . . . . . . . . . . . .



1,581.4 1,581.4 (4) 415.9 415.9 1,389.6 1,216.8 172.8 789.1 789.1 569.9 201.7 368.2 836.1 836.1 950.1 236.6 713.5 821.0 821.0 759.9 759.9



23,144 23,143.9 (4) 19,717 19,717 27,526 28,460 22,103 22,070 22,070 19,490 15,057 23,126 20,636 20,636 19,790 19,429 19,916 22,510 22,510 27,438 27,438 22,433 22,433 22,859 22,859 22,863 19,578 18,104 24,264 24,588 24,588 22,158 22,158 19,880 19,880 17,521 17,521



21,578 21,577.8 (4) 19,021 19,021 25,621 26,265 21,848 21,288 21,288 18,425 14,272 21,918 19,017 19,017 18,074 17,422 18,302 21,377 21,377 25,684 25,684 22,823 22,823 21,963 21,963 21,056 17,452 16,693 22,468 22,981 22,981 22,331 22,331 18,681 18,681 16,578 16,578



3.7 3.7 5.1 3.3 6.0 8.9 8.9 9.2 10.9 8.6 6.1 6.1 6.0 6.0 −2.1 −2.1 6.2 6.2 8.1 11.4 9.6 7.4 8.0 8.0 −0.7 −0.7 5.2 5.2 5.5 5.5



McComb, MS . . . . . . . . Amite County, MS. . . . Pike County, MS . . . . McMinnville, TN. . . . . . . Warren County, TN . . . McPherson, KS . . . . . . . McPherson County, KS



Meadville, PA . . . . . . . . . Crawford County, PA. . . Menomonie, WI . . . . . . . . Dunn County, WI . . . . . Meridian, MS . . . . . . . . . Clarke County, MS . . . . Kemper County, MS . . . Lauderdale County, MS . Merrill, WI. . . . . . . . . Lincoln County, WI . Mexico, MO . . . . . . . Audrain County, MO Miami, OK . . . . . . . . Ottawa County, OK . Middlesborough, KY . . Bell County, KY . . . . . . . . . . . . . . . . . . . . . . . . . . .



2,062.7 2,062.7 877.6 877.6 2,241.5 313.5 174.0 1,754.1 682.9 682.9 576.1 576.1 621.2 621.2 497.9 497.9



See footnotes at end of table.



278



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table D-1. Micropolitan Areas — Population and Personal Income—Con.

Population Micropolitan statistical area Component counties 2005 (July 1) Midland, MI. . . . . . . . . Midland County, MI . . Milledgeville, GA . . . . . Baldwin County, GA . Hancock County, GA. Minden, LA . . . . . . . . . Webster Parish, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,064 84,064 54,873 45,230 9,643 41,356 41,356 27,478 27,478 63,700 5,511 2,422 55,767 3,747 18,777 3,747 25,336 25,336 35,165 35,165 37,482 37,482 62,525 62,525 51,416 51,416 34,714 34,714 81,229 81,229 43,915 43,915 40,330 40,330 28,634 28,634 72,601 72,601 65,618 65,618 29,445 29,445 42,691 11,626 6,809 24,256 48,735 8,301 40,434 58,398 58,398 35,122 35,122 54,598 11,842 42,756 70,607 70,607 60,468 60,468 128,454 19,273 32,099 38,541 38,541 113,841 90,795 10,311 12,735 37,250 37,250 47,244 47,244 92,809 92,809 74,388 74,388 91,944 91,944 34,929 34,929 37,674 37,674 2004 (July 1) 84,236 84,236 55,066 45,234 9,832 41,273 41,273 27,250 27,250 64,489 5,604 2,456 56,429 22,595 18,892 3,703 25,165 25,165 34,696 34,696 36,653 36,653 61,812 61,812 52,008 52,008 35,036 35,036 79,983 79,983 43,685 43,685 39,803 39,803 28,840 28,840 72,188 72,188 65,378 65,378 29,160 29,160 41,979 11,513 6,784 23,682 48,717 8,394 40,323 57,757 57,757 34,793 34,793 54,399 12,041 42,358 70,478 70,478 60,024 60,024 51,956 19,509 32,447 38,418 38,418 113,940 90,824 10,394 12,722 37,096 37,096 47,662 47,662 93,148 93,148 74,166 74,166 92,073 92,073 34,647 34,647 37,696 37,696 Net change 20001 (estimates base) 83,007 83,007 54,796 44,745 10,051 41,736 41,736 27,088 27,088 67,210 5,952 2,594 58,664 21,878 18,723 3,155 24,667 24,667 33,728 33,728 33,598 33,598 59,403 59,403 53,305 53,305 34,858 34,858 75,039 75,039 42,125 42,125 38,466 38,466 29,088 29,088 71,235 71,235 63,360 63,360 28,126 28,126 40,400 11,134 6,604 22,662 48,673 8,600 40,073 54,655 54,655 34,149 34,149 53,971 12,172 41,799 69,461 69,461 59,231 59,231 54,474 20,225 34,249 39,090 39,090 114,999 91,660 10,394 12,945 36,039 36,039 48,469 48,469 94,625 94,625 73,270 73,270 91,044 91,044 33,622 33,622 37,251 37,251 19902 (April 1) 75,651 75,651 48,438 39,530 8,908 41,989 41,989 25,055 25,055 67,609 6,528 3,160 57,921 20,497 17,503 2,994 24,370 24,370 30,339 30,339 24,423 24,423 52,556 52,556 58,086 58,086 30,617 30,617 54,758 54,758 36,645 36,645 31,186 31,186 21,205 21,205 61,704 61,704 54,624 54,624 24,009 24,009 34,345 9,692 5,092 19,561 45,519 8,499 37,020 47,473 47,473 30,735 30,735 51,499 11,592 39,907 68,078 68,078 54,753 54,753 56,184 20,828 35,356 36,689 36,689 102,399 81,613 9,414 11,372 33,172 33,172 48,139 48,139 96,246 96,246 68,297 68,297 84,090 84,090 29,141 29,141 34,795 34,795 2000– 2005 1,057 1,057 77 485 −408 −380 −380 390 390 −3,510 −441 −172 −2,897 −18,131 54 592 669 669 1,437 1,437 3,884 3,884 3,122 3,122 −1,889 −1,889 −144 −144 6,190 6,190 1,790 1,790 1,864 1,864 −454 −454 1,366 1,366 2,258 2,258 1,319 1,319 2,291 492 205 1,594 62 −299 361 3,743 3,743 973 973 627 −330 957 1,146 1,146 1,237 1,237 73,980 −952 −2,150 −549 −549 −1,158 −865 −83 −210 1,211 1,211 −1,225 −1,225 −1,816 −1,816 1,118 1,118 900 900 1,307 1,307 423 423 1990– 2000 7,356 7,356 6,358 5,215 1,143 −253 −253 2,033 2,033 −399 −576 −566 743 1,381 1,220 161 297 297 3,389 3,389 9,175 9,175 6,847 6,847 −4,781 −4,781 4,241 4,241 20,281 20,281 5,480 5,480 7,280 7,280 7,883 7,883 9,531 9,531 8,736 8,736 4,117 4,117 6,055 1,442 1,512 3,101 3,154 101 3,053 7,182 7,182 3,414 3,414 2,472 580 1,892 1,383 1,383 4,478 4,478 −1,710 −603 −1,107 2,401 2,401 12,600 10,047 980 1,573 2,867 2,867 330 330 −1,621 −1,621 4,973 4,973 6,954 6,954 4,481 4,481 2,456 2,456 Percent change 2000– 2005 1.3 1.3 0.1 1.1 −4.1 −0.9 −0.9 1.4 1.4 −5.2 −7.4 −6.6 −4.9 −82.9 0.3 18.8 2.7 2.7 4.3 4.3 11.6 11.6 5.3 5.3 −3.5 −3.5 −0.4 −0.4 8.2 8.2 4.2 4.2 4.8 4.8 −1.6 −1.6 1.9 1.9 3.6 3.6 4.7 4.7 5.7 4.4 3.1 7.0 0.1 −3.5 0.9 6.8 6.8 2.8 2.8 1.2 −2.7 2.3 1.6 1.6 2.1 2.1 135.8 −4.7 −6.3 −1.4 −1.4 −1.0 −0.9 −0.8 −1.6 3.4 3.4 −2.5 −2.5 −1.9 −1.9 1.5 1.5 1.0 1.0 3.9 3.9 1.1 1.1 1990– 2000 9.7 9.7 13.1 13.2 12.8 −0.6 −0.6 8.1 8.1 −0.6 −8.8 −17.9 1.3 6.7 7.0 5.4 1.2 1.2 11.2 11.2 37.6 37.6 13.0 13.0 −8.2 −8.2 13.9 13.9 37.0 37.0 15.0 15.0 23.3 23.3 37.2 37.2 15.4 15.4 16.0 16.0 17.1 17.1 17.6 14.9 29.7 15.9 6.9 1.2 8.2 15.1 15.1 11.1 11.1 4.8 5.0 4.7 2.0 2.0 8.2 8.2 −3.0 −2.9 −3.1 6.5 6.5 12.3 12.3 10.4 13.8 8.6 8.6 0.7 0.7 −1.7 −1.7 7.3 7.3 8.3 8.3 15.4 15.4 7.1 7.1 Total (mil. dol.) Personal income Per capita3 (dollars) Percent change 2000– 2002 −0.8 −0.8 11.6 11.6 11.3 8.9 8.9 8.1 8.1 7.4 5.0 −8.9 8.4 6.6 7.4 0.5 6.7 6.7 5.3 5.3 13.3 13.3 9.0 9.0 12.4 12.4 14.2 14.2 11.3 11.3 6.6 6.6 9.7 9.7 11.2 11.2 3.3 3.3 7.3 7.3 11.0 11.0 4.8 2.8 6.7 5.3 8.3 8.0 8.4 6.1 6.1 0.7 0.7 7.8 6.4 8.2 10.7 10.7 10.7 10.7 6.4 9.6 4.9 13.4 13.4 4.1 3.8 6.2 5.6 6.0 6.0 2.1 2.1 2.3 2.3 11.1 11.1 3.3 3.3 5.9 5.9 6.0 6.0



2002 2,600.6 2,600.6 1,216.9 1,063.1 153.8 907.4 907.4 632.9 632.9 1,779.9 124.3 63.1 1,592.5 613.3 545.3 68.1 526.8 526.8 956.1 956.1 843.1 843.1 1,667.8 1,667.8 1,261.9 1,261.9 846.0 846.0 1,684.6 1,684.6 863.1 863.1 929.3 929.3 651.6 651.6 1,729.2 1,729.2 1,396.9 1,396.9 647.5 647.5 817.8 218.0 102.8 497.0 1,121.1 182.3 938.8 1,345.3 1,345.3 822.5 822.5 1,478.2 301.4 1,176.8 1,531.3 1,531.3 1,277.7 1,277.7 1,119.4 355.8 763.6 797.9 797.9 2,998.3 2,458.9 223.0 316.3 786.8 786.8 1,236.3 1,236.3 2,195.2 2,195.2 1,629.5 1,629.5 2,109.4 2,109.4 639.5 639.5 1,025.7 1,025.7



2000 2,621.8 2,621.8 1,090.5 952.4 138.2 833.2 833.2 585.5 585.5 1,656.6 118.4 69.3 1,468.9 575.4 507.6 67.8 493.6 493.6 907.6 907.6 744.0 744.0 1,530.0 1,530.0 1,123.0 1,123.0 740.7 740.7 1,513.6 1,513.6 809.9 809.9 847.2 847.2 585.9 585.9 1,674.3 1,674.3 1,301.3 1,301.3 583.1 583.1 780.5 212.1 96.4 472.1 1,035.1 168.8 866.3 1,267.8 1,267.8 816.9 816.9 1,371.2 283.4 1,087.7 1,383.0 1,383.0 1,154.1 1,154.1 1,052.4 324.6 727.8 703.8 703.8 2,879.7 2,370.0 210.1 299.6 742.6 742.6 1,211.3 1,211.3 2,146.7 2,146.7 1,466.7 1,466.7 2,042.6 2,042.6 603.7 603.7 967.5 967.5



2002 30,964 30,964 22,085 23,596 15,310 21,856 21,856 23,316 23,316 27,283 21,652 25,125 27,946 27,716 29,101 20,070 21,327 21,327 28,065 28,065 23,849 23,849 27,713 27,713 24,059 24,059 24,141 24,141 21,721 21,721 20,107 20,107 23,975 23,975 22,138 22,138 23,999 23,999 21,770 21,770 22,957 22,957 19,793 19,131 15,356 21,398 23,037 21,690 23,319 23,925 23,925 23,927 23,927 27,217 24,682 27,953 21,926 21,926 21,577 21,577 20,973 17,869 22,821 20,497 20,497 26,187 26,917 21,728 24,565 21,397 21,397 25,704 25,704 23,413 23,413 22,107 22,107 23,029 23,029 18,777 18,777 27,300 27,300



2000 31,579 31,579 19,900 21,282 13,747 19,965 19,965 21,616 21,616 24,657 19,895 26,733 25,048 26,306 27,119 21,486 20,014 20,014 26,915 26,915 22,147 22,147 25,755 25,755 21,069 21,069 21,227 21,227 20,177 20,177 19,224 19,224 22,029 22,029 20,132 20,132 23,508 23,508 20,536 20,536 20,739 20,739 19,323 19,050 14,594 20,835 21,270 19,636 21,621 23,202 23,202 23,917 23,917 25,408 23,277 26,029 19,913 19,913 19,487 19,487 19,324 16,053 21,255 18,007 18,007 25,051 25,871 20,201 23,146 20,552 20,552 24,995 24,995 22,690 22,690 20,020 20,020 22,439 22,439 17,957 17,957 25,975 25,975



Mineral Wells, TX . . . . . Palo Pinto County, TX . Minot, ND. . . . . . . . . . . McHenry County, ND . Renville County, ND . . Ward County, ND . . . . Mitchell, SD . . . . . . . . . Davison County, SD . . Hanson County, SD . . Moberly, MO . . . . . . . . . Randolph County, MO . Monroe, WI. . . . . . . . . . Green County, WI. . . . Montrose, CO . . . . . . . Montrose County, CO Morehead City, NC. . . . Carteret County, NC . Morgan City, LA. . . . . . St. Mary Parish, LA. . Moscow, ID. . . . . . . . Latah County, ID . . Moses Lake, WA . . . . Grant County, WA . Moultrie, GA . . . . . . . Colquitt County, GA Mountain Home, AR . Baxter County, AR Mountain Home, ID . Elmore County, ID Mount Airy, NC . . . . Surry County, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Mount Pleasant, MI . . . . . Isabella County, MI . . . . Mount Pleasant, TX . . . . . Titus County, TX. . . . . . Mount Sterling, KY . . . . . . Bath County, KY. . . . . . Menifee County, KY . . . Montgomery County, KY Mount Vernon, IL . . . . . Hamilton County, IL . Jefferson County, IL . Mount Vernon, OH . . . . Knox County, OH . . . Murray, KY . . . . . . . . . Calloway County, KY. . . . . . . . . . . . . . .



Muscatine, IA . . . . . . . . . . Louisa County, IA . . . . . . Muscatine County, IA . . . Muskogee, OK . . . . . . . . . Muskogee County, OK. . . Nacogdoches, TX . . . . . . . Nacogdoches County, TX. Natchez, MS-LA . . . . . . . Concordia Parish, LA . . Adams County, MS . . . . Natchitoches, LA . . . . . . . Natchitoches Parish, LA New Bern, NC. . . . . . . Craven County, NC. . Jones County, NC . . Pamlico County, NC . Newberry, SC . . . . . . . Newberry County, SC New Castle, IN . . . . . . Henry County, IN . . . New Castle, PA . . . . . . Lawrence County, PA New Iberia, LA . . . . . . Iberia Parish, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



New Philadelphia-Dover, OH Tuscarawas County, OH . Newport, TN . . . . . . . . . . . Cocke County, TN . . . . . Newton, IA . . . . . . . . . . . . Jasper County, IA . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



279



Table D-1. Micropolitan Areas — Population and Personal Income—Con.

Population Micropolitan statistical area Component counties 2005 (July 1) New Ulm, MN . . . . . . . . Brown County, MN . . . Nogales, AZ . . . . . . . . . Santa Cruz County, AZ Norfolk, NE. . . . . . . . . . Madison County, NE . . Pierce County, NE . . . Stanton County, NE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,534 26,534 42,009 42,009 49,622 35,488 7,600 6,534 36,883 35,636 740 507 28,427 28,427 67,390 67,390 60,385 60,385 79,252 79,252 46,823 46,823 48,750 48,750 111,380 111,380 55,928 55,928 39,836 39,836 207,994 82,502 62,746 62,746 53,527 22,197 31,330 89,937 89,937 92,167 92,167 22,364 22,364 154,028 35,330 112,604 6,094 35,965 35,965 35,755 35,755 72,945 72,945 40,842 40,842 98,083 15,348 8,277 9,760 64,698 40,477 40,477 73,568 73,568 56,408 56,408 76,410 76,410 22,299 21,479 820 39,401 39,401 31,511 31,511 49,644 49,644 22,169 22,169 51,663 51,663 11,638 11,638 32,984 32,984 2004 (July 1) 26,650 26,650 40,777 40,777 49,826 35,667 7,614 6,545 36,350 35,104 719 527 28,310 28,310 67,000 67,000 60,150 60,150 79,742 79,742 47,008 47,008 48,790 48,790 111,292 111,292 56,149 56,149 39,006 39,006 83,035 83,035 62,706 62,706 52,903 21,577 31,326 89,322 89,322 92,115 92,115 22,111 22,111 153,506 35,183 112,225 6,098 35,793 35,793 35,208 35,208 73,028 73,028 40,237 40,237 97,801 15,294 8,229 9,714 64,564 37,686 37,686 72,574 72,574 55,988 55,988 69,016 69,016 22,220 21,393 827 38,863 38,863 31,326 31,326 49,598 49,598 22,154 22,154 51,311 51,311 11,828 11,828 32,691 32,691 Net change 20001 (estimates base) 26,870 26,870 38,567 38,567 49,441 35,165 7,851 6,425 35,960 34,658 771 531 27,697 27,697 65,812 65,812 59,611 59,611 71,876 71,876 47,518 47,518 46,759 46,759 111,850 111,850 57,476 57,476 35,908 35,908 83,919 83,919 61,660 61,660 52,176 20,635 31,541 87,770 87,770 91,511 91,511 22,308 22,308 153,117 35,498 111,529 6,090 36,009 36,009 33,799 33,799 71,710 71,710 38,743 38,743 98,686 15,125 8,307 9,816 65,438 32,923 32,923 70,435 70,435 55,092 55,092 50,581 50,581 23,469 22,586 883 37,513 37,513 31,143 31,143 48,634 48,634 22,749 22,749 51,377 51,377 13,061 13,061 32,120 32,120 19902 (April 1) 26,984 26,984 29,676 29,676 46,726 32,655 7,827 6,244 33,932 32,508 878 546 23,661 23,661 59,393 59,393 56,240 56,240 60,195 60,195 47,952 47,952 35,028 35,028 111,974 111,974 59,381 59,381 29,627 29,627 84,234 84,234 60,517 60,517 42,472 16,434 26,038 80,331 80,331 84,803 84,803 21,522 21,522 148,331 35,688 106,913 5,730 35,687 35,687 30,729 30,729 69,770 69,770 31,826 31,826 94,595 14,752 7,902 9,062 62,879 17,781 17,781 65,070 65,070 48,024 48,024 28,701 28,701 24,992 23,967 1,025 31,804 31,804 27,888 27,888 43,949 43,949 23,693 23,693 40,216 40,216 15,852 15,852 30,001 30,001 2000– 2005 −336 −336 3,442 3,442 181 323 −251 109 923 978 −31 −24 730 730 1,578 1,578 774 774 7,376 7,376 −695 −695 1,991 1,991 −470 −470 −1,548 −1,548 3,928 3,928 124,075 −1,417 1,086 1,086 1,351 1,562 −211 2,167 2,167 656 656 56 56 911 −168 1,075 4 −44 −44 1,956 1,956 1,235 1,235 2,099 2,099 −603 223 −30 −56 −740 7,554 7,554 3,133 3,133 1,316 1,316 25,829 25,829 −1,170 −1,107 −63 1,888 1,888 368 368 1,010 1,010 −580 −580 286 286 −1,423 −1,423 864 864 1990– 2000 −114 −114 8,891 8,891 2,715 2,510 24 181 2,028 2,150 −107 −15 4,036 4,036 6,419 6,419 3,371 3,371 11,681 11,681 −434 −434 11,731 11,731 −124 −124 −1,905 −1,905 6,281 6,281 −315 −315 1,143 1,143 9,704 4,201 5,503 7,439 7,439 6,708 6,708 786 786 4,786 −190 4,616 360 322 322 3,070 3,070 1,940 1,940 6,917 6,917 4,091 373 405 754 2,559 15,142 15,142 5,365 5,365 7,068 7,068 21,880 21,880 −1,523 −1,381 −142 5,709 5,709 3,255 3,255 4,685 4,685 −944 −944 11,161 11,161 −2,791 −2,791 2,119 2,119 Percent change 2000– 2005 −1.3 −1.3 8.9 8.9 0.4 0.9 −3.2 1.7 2.6 2.8 −4.0 −4.5 2.6 2.6 2.4 2.4 1.3 1.3 10.3 10.3 −1.5 −1.5 4.3 4.3 −0.4 −0.4 −2.7 −2.7 10.9 10.9 147.9 −1.7 1.8 1.8 2.6 7.6 −0.7 2.5 2.5 0.7 0.7 0.3 0.3 0.6 −0.5 1.0 0.1 −0.1 −0.1 5.8 5.8 1.7 1.7 5.4 5.4 −0.6 1.5 −0.4 −0.6 −1.1 22.9 22.9 4.4 4.4 2.4 2.4 51.1 51.1 −5.0 −4.9 −7.1 5.0 5.0 1.2 1.2 2.1 2.1 −2.5 −2.5 0.6 0.6 −10.9 −10.9 2.7 2.7 1990– 2000 −0.4 −0.4 30.0 30.0 5.8 7.7 0.3 2.9 6.0 6.6 −12.2 −2.7 17.1 17.1 10.8 10.8 6.0 6.0 19.4 19.4 −0.9 −0.9 33.5 33.5 (Z) (Z) −3.2 −3.2 21.2 21.2 −0.4 −0.4 1.9 1.9 22.8 25.6 21.1 9.3 9.3 7.9 7.9 3.7 3.7 3.2 −0.5 4.3 6.3 0.9 0.9 10.0 10.0 2.8 2.8 21.7 21.7 4.3 2.5 5.1 8.3 4.1 85.2 85.2 8.2 8.2 14.7 14.7 76.2 76.2 −6.1 −5.8 −13.9 18.0 18.0 11.7 11.7 10.7 10.7 −4.0 −4.0 27.8 27.8 −17.6 −17.6 7.1 7.1 Total (mil. dol.) Personal income Per capita3 (dollars) Percent change 2000– 2002 5.0 5.0 9.1 9.1 5.4 6.4 4.7 −0.2 7.3 7.1 11.6 11.8 2.0 2.0 4.2 4.2 0.8 0.8 14.2 14.2 10.0 10.0 11.3 11.3 3.4 3.4 0.8 0.8 13.9 13.9 9.7 9.7 6.8 6.8 1.9 9.7 −3.0 10.5 10.5 8.4 8.4 2.2 2.2 1.9 3.2 1.6 −0.1 9.5 9.5 6.4 6.4 0.0 0.0 14.1 14.1 4.6 8.5 −1.0 5.1 4.5 12.2 12.2 6.3 6.3 6.1 6.1 15.8 15.8 1.8 1.8 1.4 5.4 5.4 6.1 6.1 2.6 2.6 11.2 11.2 9.3 9.3 3.7 3.7 0.2 0.2



2002 722.2 722.2 710.0 710.0 1,196.3 885.5 174.0 136.8 908.0 884.7 16.4 6.9 616.5 616.5 1,620.3 1,620.3 1,452.2 1,452.2 2,181.1 2,181.1 953.5 953.5 1,445.4 1,445.4 2,299.6 2,299.6 1,351.5 1,351.5 695.4 695.4 1,927.9 1,927.9 1,439.3 1,439.3 1,005.8 424.0 581.9 1,693.1 1,693.1 1,955.8 1,955.8 561.9 561.9 3,985.0 929.5 2,903.4 152.2 853.4 853.4 977.3 977.3 1,659.1 1,659.1 914.8 914.8 2,682.0 346.7 214.9 222.3 1,898.1 893.6 893.6 1,362.4 1,362.4 1,033.0 1,033.0 1,382.5 1,382.5 586.1 565.2 20.9 758.1 758.1 728.2 728.2 1,107.5 1,107.5 532.4 532.4 1,064.0 1,064.0 214.5 214.5 851.3 851.3



2000 687.8 687.8 650.7 650.7 1,135.2 831.9 166.3 137.0 846.5 825.7 14.7 6.2 604.5 604.5 1,554.8 1,554.8 1,440.7 1,440.7 1,909.5 1,909.5 866.6 866.6 1,299.0 1,299.0 2,225.0 2,225.0 1,340.2 1,340.2 610.5 610.5 1,756.9 1,756.9 1,347.7 1,347.7 986.7 386.6 600.1 1,532.8 1,532.8 1,803.7 1,803.7 549.9 549.9 3,910.3 900.9 2,857.2 152.3 779.1 779.1 918.9 918.9 1,659.7 1,659.7 801.7 801.7 2,564.7 319.5 217.0 211.6 1,816.6 796.8 796.8 1,281.6 1,281.6 973.3 973.3 1,194.2 1,194.2 576.0 555.4 20.6 719.0 719.0 686.6 686.6 1,079.7 1,079.7 479.0 479.0 973.4 973.4 206.8 206.8 849.2 849.2



2002 27,027 27,027 17,902 17,902 23,824 24,614 22,511 21,018 25,343 25,621 21,825 12,647 21,876 21,876 24,266 24,266 24,234 24,234 29,031 29,031 20,218 20,218 29,637 29,637 20,629 20,629 23,767 23,767 18,818 18,818 23,119 23,119 23,240 23,240 19,176 20,016 18,608 19,171 19,171 21,418 21,418 25,121 25,121 26,024 26,358 25,980 24,902 23,769 23,769 28,406 28,406 22,999 22,999 23,147 23,147 27,413 22,920 26,426 22,623 29,313 25,833 25,833 19,155 19,155 18,950 18,950 24,041 24,041 25,802 25,860 24,324 19,956 19,956 23,279 23,279 22,598 22,598 23,833 23,833 20,646 20,646 17,139 17,139 26,143 26,143



2000 25,599 25,599 16,871 16,871 22,961 23,656 21,188 21,322 23,544 23,827 19,018 11,657 21,827 21,827 23,627 23,627 24,171 24,171 26,579 26,579 18,237 18,237 27,780 27,780 19,891 19,891 23,319 23,319 17,004 17,004 20,937 20,937 21,859 21,859 18,912 18,739 19,026 17,467 17,467 19,713 19,713 24,655 24,655 25,543 25,380 25,624 25,011 21,636 21,636 27,191 27,191 23,148 23,148 20,676 20,676 25,992 21,130 26,121 21,560 27,764 24,206 24,206 18,198 18,198 17,670 17,670 23,613 23,613 24,546 24,593 23,331 19,168 19,168 22,043 22,043 22,203 22,203 21,053 21,053 18,950 18,950 15,832 15,832 26,443 26,443



North Platte, NE . . . . . . . Lincoln County, NE . . . . Logan County, NE . . . . McPherson County, NE . North Vernon, IN . . . . . . . Jennings County, IN . . . North Wilkesboro, NC . Wilkes County, NC . Norwalk, OH . . . . . . . Huron County, OH . Oak Harbor, WA . . . . Island County, WA . . . . . . . . . . . . . . . . . . .



Oak Hill, WV . . . . . . . . . . . Fayette County, WV . . . . Ocean Pines, MD . . . . . . . Worcester County, MD . . Ogdensburg-Massena, NY . St. Lawrence County, NY . Oil City, PA . . . . . . . . . . . Venango County, PA . . . Okeechobee, FL . . . . . . . Okeechobee County, FL Olean, NY . . . . . . . . . . . Cattaraugus County, NY Oneonta, NY. . . . . . . . Otsego County, NY . . Ontario, OR-ID . . . . . . Payette County, ID . . Malheur County, OR . Opelousas-Eunice, LA . St. Landry Parish, LA Orangeburg, SC . . . . Orangeburg County, Oskaloosa, IA . . . . . . Mahaska County, IA Ottawa-Streator, IL . . . Bureau County, IL. . La Salle County, IL . Putnam County, IL . Ottumwa, IA . . . . . . . Wapello County, IA . Owatonna, MN . . . . . Steele County, MN . Owosso, MI . . . . . . . Shiawassee County, . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



... SC. ... ... ... ... ... ... ... ... ... ... ... MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Oxford, MS . . . . . . . . . . Lafayette County, MS . Paducah, KY-IL . . . . . . . Massac County, IL . . . Ballard County, KY . . . Livingston County, KY . McCracken County, KY Pahrump, NV . . . . . . . Nye County, NV . . . . Palatka, FL . . . . . . . . . Putnam County, FL . . Palestine, TX . . . . . . . Anderson County, TX Palm Coast, FL . . . . . Flagler County, FL . Pampa, TX . . . . . . . . Gray County, TX . . Roberts County, TX Paragould, AR. . . . . . Greene County, AR. Paris, TN . . . . . . . . . Henry County, TN. . Paris, TX . . . . . . . . . Lamar County, TX . Parsons, KS . . . . . . . Labette County, KS. Payson, AZ. . . . . . . . Gila County, AZ . . . Pecos, TX . . . . . . . . Reeves County, TX. Pella, IA . . . . . . . . . . Marion County, IA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



280



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table D-1. Micropolitan Areas — Population and Personal Income—Con.

Population Micropolitan statistical area Component counties 2005 (July 1) Pendleton-Hermiston, OR . . . . Morrow County, OR . . . . . . Umatilla County, OR . . . . . . Peru, IN . . . . . . . . . . . . . . . . Miami County, IN . . . . . . . . Phoenix Lake-Cedar Ridge, CA Tuolumne County, CA . . . . . Picayune, MS . . . . . . . . . Pearl River County, MS . Pierre, SD . . . . . . . . . . . Hughes County, SD . . . Stanley County, SD. . . . Pierre Part, LA . . . . . . . . Assumption Parish, LA . Pittsburg, KS. . . . . Crawford County, Plainview, TX . . . . Hale County, TX. Platteville, WI . . . . Grant County, WI ... KS. ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85,544 11,666 73,878 35,620 35,620 59,380 59,380 52,659 52,659 19,704 16,875 2,829 23,196 23,196 38,222 38,222 36,233 36,233 49,671 49,671 82,047 82,047 46,945 46,945 57,123 31,362 25,761 46,480 46,480 39,186 39,186 41,338 41,338 18,238 18,238 69,689 69,689 76,561 76,561 147,447 147,447 19,437 19,437 22,067 22,067 40,170 40,170 77,226 67,040 10,186 20,382 20,382 61,197 61,197 45,585 45,585 43,217 12,242 30,975 69,192 69,192 94,461 77,749 16,712 60,941 60,941 36,491 36,491 77,506 56,023 21,483 54,290 54,290 46,781 46,781 41,219 41,219 37,975 37,975 42,125 42,125 104,202 104,202 61,860 61,860 2004 (July 1) 85,248 11,692 73,556 35,922 35,922 56,843 56,843 51,785 51,785 19,635 16,791 2,844 23,206 23,206 38,167 38,167 36,329 36,329 49,616 49,616 81,684 81,684 46,564 46,564 57,109 31,285 25,824 46,802 46,802 39,045 39,045 41,003 41,003 18,199 18,199 67,991 67,991 76,634 76,634 147,410 147,410 19,612 19,612 21,429 21,429 40,182 40,182 77,142 66,924 10,218 20,203 20,203 59,976 59,976 45,497 45,497 42,546 12,320 30,226 69,655 69,655 92,820 76,136 16,684 59,661 59,661 36,218 36,218 77,600 56,096 21,504 53,525 53,525 46,658 46,658 41,050 41,050 37,570 37,570 41,679 41,679 103,089 103,089 61,497 61,497 Net change 20001 (estimates base) 81,744 11,057 70,687 36,184 36,184 54,679 54,679 48,785 48,785 19,283 16,501 2,782 23,384 23,384 38,225 38,225 36,578 36,578 49,535 49,535 79,940 79,940 45,258 45,258 57,057 31,090 25,967 47,943 47,943 39,653 39,653 40,826 40,826 17,983 17,983 64,318 64,318 79,081 79,081 150,147 150,147 20,376 20,376 19,344 19,344 40,664 40,664 78,723 68,204 10,519 20,071 20,071 56,159 56,159 44,163 44,163 39,213 11,792 27,421 71,045 71,045 87,895 71,261 16,634 53,846 53,846 35,842 35,842 79,387 57,297 22,090 51,172 51,172 46,583 46,583 39,698 39,698 37,501 37,501 39,880 39,880 100,484 100,484 61,320 61,320 19902 (April 1) 66,874 7,625 59,249 36,897 36,897 48,456 48,456 38,714 38,714 17,270 14,817 2,453 22,753 22,753 35,568 35,568 34,671 34,671 49,264 49,264 85,969 85,969 42,182 42,182 56,132 30,954 25,178 48,056 48,056 39,301 39,301 38,765 38,765 16,702 16,702 56,464 56,464 80,327 80,327 152,585 152,585 20,228 20,228 14,111 14,111 38,775 38,775 76,323 66,090 10,233 17,705 17,705 49,625 49,625 40,690 40,690 34,611 10,937 23,674 71,951 71,951 72,311 57,508 14,803 40,518 40,518 33,662 33,662 76,314 55,516 20,798 45,957 45,957 44,518 44,518 36,310 36,310 38,823 38,823 35,248 35,248 94,649 94,649 57,849 57,849 2000– 2005 3,800 609 3,191 −564 −564 4,701 4,701 3,874 3,874 421 374 47 −188 −188 −3 −3 −345 −345 136 136 2,107 2,107 1,687 1,687 66 272 −206 −1,463 −1,463 −467 −467 512 512 255 255 5,371 5,371 −2,520 −2,520 −2,700 −2,700 −939 −939 2,723 2,723 −494 −494 −1,497 −1,164 −333 311 311 5,038 5,038 1,422 1,422 4,004 450 3,554 −1,853 −1,853 6,566 6,488 78 7,095 7,095 649 649 −1,881 −1,274 −607 3,118 3,118 198 198 1,521 1,521 474 474 2,245 2,245 3,718 3,718 540 540 1990– 2000 14,870 3,432 11,438 −713 −713 6,223 6,223 10,071 10,071 2,013 1,684 329 631 631 2,657 2,657 1,907 1,907 271 271 −6,029 −6,029 3,076 3,076 925 136 789 −113 −113 352 352 2,061 2,061 1,281 1,281 7,854 7,854 −1,246 −1,246 −2,438 −2,438 148 148 5,233 5,233 1,889 1,889 2,400 2,114 286 2,366 2,366 6,534 6,534 3,473 3,473 4,602 855 3,747 −906 −906 15,584 13,753 1,831 13,328 13,328 2,180 2,180 3,073 1,781 1,292 5,215 5,215 2,065 2,065 3,388 3,388 −1,322 −1,322 4,632 4,632 5,835 5,835 3,471 3,471 Percent change 2000– 2005 4.6 5.5 4.5 −1.6 −1.6 8.6 8.6 7.9 7.9 2.2 2.3 1.7 −0.8 −0.8 0.0 0.0 −0.9 −0.9 0.3 0.3 2.6 2.6 3.7 3.7 0.1 0.9 −0.8 −3.1 −3.1 −1.2 −1.2 1.3 1.3 1.4 1.4 8.4 8.4 −3.2 −3.2 −1.8 −1.8 −4.6 −4.6 14.1 14.1 −1.2 −1.2 −1.9 −1.7 −3.2 1.5 1.5 9.0 9.0 3.2 3.2 10.2 3.8 13.0 −2.6 −2.6 7.5 9.1 0.5 13.2 13.2 1.8 1.8 −2.4 −2.2 −2.7 6.1 6.1 0.4 0.4 3.8 3.8 1.3 1.3 5.6 5.6 3.7 3.7 0.9 0.9 1990– 2000 22.2 45.0 19.3 −1.9 −1.9 12.8 12.8 26.0 26.0 11.7 11.4 13.4 2.8 2.8 7.5 7.5 5.5 5.5 0.6 0.6 −7.0 −7.0 7.3 7.3 1.6 0.4 3.1 −0.2 −0.2 0.9 0.9 5.3 5.3 7.7 7.7 13.9 13.9 −1.6 −1.6 −1.6 −1.6 0.7 0.7 37.1 37.1 4.9 4.9 3.1 3.2 2.8 13.4 13.4 13.2 13.2 8.5 8.5 13.3 7.8 15.8 −1.3 −1.3 21.6 23.9 12.4 32.9 32.9 6.5 6.5 4.0 3.2 6.2 11.3 11.3 4.6 4.6 9.3 9.3 −3.4 −3.4 13.1 13.1 6.2 6.2 6.0 6.0 Total (mil. dol.) Personal income Per capita3 (dollars) Percent change 2000– 2002 7.4 6.9 7.5 1.3 1.3 10.6 10.6 9.9 9.9 6.0 7.8 −4.1 27.6 27.6 6.2 6.2 3.8 3.8 7.7 7.7 8.4 8.4 2.7 2.7 7.9 9.3 5.9 8.3 8.3 6.3 6.3 8.7 8.7 24.6 24.6 12.5 12.5 4.7 4.7 3.7 3.7 6.4 6.4 12.0 12.0 3.1 3.1 6.0 6.3 3.6 10.4 10.4 10.4 10.4 7.8 7.8 13.8 13.3 14.1 2.1 2.1 6.2 6.2 6.0 14.4 14.4 8.4 8.4 2.1 0.8 5.4 1.8 1.8 5.2 5.2 13.7 13.7 2.3 2.3 12.0 12.0 9.5 9.5 17.3 17.3



2002 1,869.1 241.7 1,627.4 795.3 795.3 1,402.7 1,402.7 957.0 957.0 547.6 475.4 72.2 571.8 571.8 856.8 856.8 785.5 785.5 1,189.3 1,189.3 1,952.2 1,952.2 1,114.3 1,114.3 1,266.8 750.9 515.9 1,186.1 1,186.1 1,071.1 1,071.1 969.3 969.3 428.8 428.8 1,781.8 1,781.8 1,632.6 1,632.6 3,562.9 3,562.9 462.9 462.9 440.9 440.9 830.7 830.7 1,993.1 1,797.3 195.8 300.4 300.4 1,179.9 1,179.9 1,316.2 1,316.2 675.8 241.4 434.4 1,742.0 1,742.0 1,804.3 1,527.1 277.1 588.6 588.6 898.8 898.8 1,625.6 1,142.5 483.0 1,352.7 1,352.7 990.9 990.9 1,185.8 1,185.8 1,131.4 1,131.4 953.9 953.9 2,492.6 2,492.6 1,367.0 1,367.0



2000 1,740.3 226.2 1,514.2 785.1 785.1 1,268.8 1,268.8 871.1 871.1 516.5 441.2 75.3 448.3 448.3 807.1 807.1 756.8 756.8 1,104.1 1,104.1 1,801.3 1,801.3 1,085.1 1,085.1 1,174.2 687.2 487.0 1,095.2 1,095.2 1,007.3 1,007.3 891.4 891.4 344.1 344.1 1,583.3 1,583.3 1,559.0 1,559.0 3,435.1 3,435.1 435.1 435.1 393.8 393.8 805.9 805.9 1,880.3 1,691.3 189.0 272.0 272.0 1,068.6 1,068.6 1,221.1 1,221.1 593.6 213.1 380.6 1,705.4 1,705.4 1,698.9 1,437.3 261.6 514.7 514.7 828.8 828.8 1,591.4 1,133.1 458.3 1,329.5 1,329.5 942.0 942.0 1,042.6 1,042.6 1,106.3 1,106.3 851.4 851.4 2,275.9 2,275.9 1,165.5 1,165.5



2002 22,514 20,826 22,789 21,881 21,881 25,044 25,044 19,002 19,002 28,337 28,646 26,459 24,657 24,657 22,482 22,482 21,965 21,965 24,060 24,060 24,142 24,142 24,319 24,319 22,085 23,973 19,814 24,890 24,890 27,230 27,230 23,752 23,752 23,792 23,792 26,959 26,959 20,914 20,914 23,947 23,947 23,365 23,365 21,859 21,859 20,302 20,302 25,501 26,515 18,872 14,982 14,982 20,536 20,536 29,287 29,287 16,548 20,322 15,000 24,696 24,696 20,031 20,808 16,615 10,480 10,480 24,962 24,962 20,724 20,197 22,084 25,916 25,916 21,163 21,163 29,390 29,390 30,400 30,400 23,221 23,221 24,644 24,644 22,727 22,727



2000 21,290 20,445 21,422 21,704 21,704 23,207 23,207 17,856 17,856 26,790 26,741 27,086 19,167 19,167 21,117 21,117 20,692 20,692 22,291 22,291 22,534 22,534 23,984 23,984 20,580 22,103 18,755 22,842 22,842 25,405 25,405 21,839 21,839 19,115 19,115 24,616 24,616 19,716 19,716 22,882 22,882 21,356 21,356 20,365 20,365 19,802 19,802 23,888 24,801 17,971 13,552 13,552 19,032 19,032 27,650 27,650 15,132 18,064 13,871 24,006 24,006 19,327 20,167 15,727 9,560 9,560 23,124 23,124 20,049 19,777 20,753 25,984 25,984 20,225 20,225 26,268 26,268 29,511 29,511 21,328 21,328 22,654 22,654 19,007 19,007



Plattsburgh, NY . . . . . . Clinton County, NY . . Plymouth, IN . . . . . . . . Marshall County, IN . Point Pleasant, WV-OH. Gallia County, OH. . . Mason County, WV . . Ponca City, OK . . . . . . Kay County, OK . . . . Pontiac, IL . . . . . . . . . Livingston County, IL. Poplar Bluff, MO . . . . . Butler County, MO . .



Portales, NM. . . . . . . . . Roosevelt County, NM. Port Angeles, WA . . . . . Clallam County, WA . . Portsmouth, OH. . . . . . . Scioto County, OH . . . Pottsville, PA. . . . . . . . Schuylkill County, PA Price, UT . . . . . . . . . . Carbon County, UT . . Prineville, OR . . . . . . . Crook County, OR . . Pullman, WA. . . . . . . . Whitman County, WA Quincy, IL-MO . . . . . . . Adams County, IL . . . Lewis County, MO . . Raymondville, TX. . . . . Willacy County, TX . . Red Bluff, CA . . . . . . . Tehama County, CA . Red Wing, MN . . . . . . Goodhue County, MN Rexburg, ID . . . . . . . . Fremont County, ID. . Madison County, ID . . . . . . . . . . . . . . . . . . . . .



Richmond, IN . . . . . . . . . Wayne County, IN . . . . Richmond-Berea, KY . . . . Madison County, KY . . . Rockcastle County, KY . Rio Grande City-Roma, TX Starr County, TX . . . . .



Riverton, WY . . . . . . . . . . Fremont County, WY. . . . Roanoke Rapids, NC . . . . . Halifax County, NC . . . . . Northampton County, NC . Rochelle, IL . . . . . . . . . . . Ogle County, IL . . . . . . . Rockingham, NC . . . . . . . Richmond County, NC . . Rockland, ME . . . . . . . . . Knox County, ME . . . . . Rock Springs, WY . . . . . . Sweetwater County, WY Rolla, MO. . . . . . . . . . Phelps County, MO. . Roseburg, OR . . . . . . . Douglas County, OR . Roswell, NM . . . . . . . . Chaves County, NM . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



281



Table D-1. Micropolitan Areas — Population and Personal Income—Con.

Population Micropolitan statistical area Component counties 2005 (July 1) Russellville, AR . . . . . Pope County, AR . . Yell County, AR . . . Ruston, LA . . . . . . . . Jackson Parish, LA . Lincoln Parish, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,971 56,580 21,391 57,243 15,135 42,108 63,743 63,743 40,594 33,073 7,521 45,759 45,759 33,577 33,577 60,042 6,123 53,919 135,099 135,099 55,704 55,704 38,780 38,780 62,537 62,537 37,485 733 36,752 53,650 53,650 23,820 23,820 176,548 176,548 71,332 71,332 95,496 95,496 40,121 40,121 38,207 38,207 44,366 44,366 69,577 69,577 34,855 34,855 79,282 79,282 42,237 42,237 68,272 68,272 98,288 98,288 42,204 42,204 54,359 54,359 27,389 27,389 48,736 48,736 126,106 126,106 41,143 41,143 29,747 29,747 24,892 24,892 16,217 16,217 59,200 59,200 78,907 78,907 81,685 81,685 2004 (July 1) 77,321 56,007 21,314 57,547 15,262 42,285 63,550 63,550 40,368 32,858 7,510 45,082 45,082 33,963 33,963 60,052 6,149 53,903 134,030 134,030 54,417 54,417 38,722 38,722 62,496 62,496 37,445 759 36,686 53,747 53,747 23,590 23,590 172,223 172,223 70,577 70,577 93,133 93,133 39,690 39,690 38,113 38,113 44,715 44,715 68,972 68,972 35,011 35,011 77,153 77,153 41,848 41,848 67,719 67,719 98,269 98,269 41,153 41,153 53,110 53,110 27,236 27,236 48,479 48,479 123,864 123,864 40,825 40,825 29,363 29,363 24,851 24,851 16,174 16,174 58,693 58,693 79,322 79,322 80,066 80,066 Net change 20001 (estimates base) 75,669 54,490 21,179 57,871 15,389 42,482 63,419 63,419 42,043 33,494 8,549 43,736 43,736 35,045 35,045 59,811 6,195 53,616 130,667 130,667 49,424 49,424 38,568 38,568 62,793 62,793 37,814 824 36,990 54,026 54,026 23,049 23,049 157,468 157,468 67,410 67,410 87,453 87,453 39,449 39,449 37,551 37,551 46,225 46,225 66,428 66,428 33,377 33,377 71,709 71,709 41,413 41,413 65,705 65,705 96,577 96,577 37,830 37,830 49,587 49,587 26,606 26,606 47,996 47,996 118,033 118,033 40,392 40,392 30,920 30,920 23,665 23,665 16,250 16,250 56,322 56,322 80,040 80,040 75,155 75,155 19902 (April 1) 63,642 45,883 17,759 57,450 15,705 41,745 62,142 62,142 34,562 26,554 8,008 30,167 30,167 34,878 34,878 54,935 5,634 49,301 110,605 110,605 41,374 41,374 34,604 34,604 60,967 60,967 36,877 852 36,025 47,796 47,796 20,991 20,991 113,229 113,229 54,676 54,676 68,432 68,432 35,437 35,437 36,680 36,680 48,130 48,130 57,494 57,494 33,683 33,683 51,043 51,043 37,730 37,730 58,760 58,760 84,714 84,714 30,411 30,411 38,341 38,341 23,562 23,562 44,915 44,915 97,624 97,624 39,376 39,376 27,676 27,676 12,881 12,881 18,634 18,634 49,489 49,489 78,218 78,218 59,013 59,013 2000– 2005 2,302 2,090 212 −628 −254 −374 324 324 −1,449 −421 −1,028 2,023 2,023 −1,468 −1,468 231 −72 303 4,432 4,432 6,280 6,280 212 212 −256 −256 −329 −91 −238 −376 −376 771 771 19,080 19,080 3,922 3,922 8,043 8,043 672 672 656 656 −1,859 −1,859 3,149 3,149 1,478 1,478 7,573 7,573 824 824 2,567 2,567 1,711 1,711 4,374 4,374 4,772 4,772 783 783 740 740 8,073 8,073 751 751 −1,173 −1,173 1,227 1,227 −33 −33 2,878 2,878 −1,133 −1,133 6,530 6,530 1990– 2000 12,027 8,607 3,420 421 −316 737 1,277 1,277 7,481 6,940 541 13,569 13,569 167 167 4,876 561 4,315 20,062 20,062 8,050 8,050 3,964 3,964 1,826 1,826 937 −28 965 6,230 6,230 2,058 2,058 44,239 44,239 12,734 12,734 19,021 19,021 4,012 4,012 871 871 −1,905 −1,905 8,934 8,934 −306 −306 20,666 20,666 3,683 3,683 6,945 6,945 11,863 11,863 7,419 7,419 11,246 11,246 3,044 3,044 3,081 3,081 20,409 20,409 1,016 1,016 3,244 3,244 10,784 10,784 −2,384 −2,384 6,833 6,833 1,822 1,822 16,142 16,142 Percent change 2000– 2005 3.0 3.8 1.0 −1.1 −1.7 −0.9 0.5 0.5 −3.4 −1.3 −12.0 4.6 4.6 −4.2 −4.2 0.4 −1.2 0.6 3.4 3.4 12.7 12.7 0.5 0.5 −0.4 −0.4 −0.9 −11.0 −0.6 −0.7 −0.7 3.3 3.3 12.1 12.1 5.8 5.8 9.2 9.2 1.7 1.7 1.7 1.7 −4.0 −4.0 4.7 4.7 4.4 4.4 10.6 10.6 2.0 2.0 3.9 3.9 1.8 1.8 11.6 11.6 9.6 9.6 2.9 2.9 1.5 1.5 6.8 6.8 1.9 1.9 −3.8 −3.8 5.2 5.2 −0.2 −0.2 5.1 5.1 −1.4 −1.4 8.7 8.7 1990– 2000 18.9 18.8 19.3 0.7 −2.0 1.8 2.1 2.1 21.6 26.1 6.8 45.0 45.0 0.5 0.5 8.9 10.0 8.8 18.1 18.1 19.5 19.5 11.5 11.5 3.0 3.0 2.5 −3.3 2.7 13.0 13.0 9.8 9.8 39.1 39.1 23.3 23.3 27.8 27.8 11.3 11.3 2.4 2.4 −4.0 −4.0 15.5 15.5 −0.9 −0.9 40.5 40.5 9.8 9.8 11.8 11.8 14.0 14.0 24.4 24.4 29.3 29.3 12.9 12.9 6.9 6.9 20.9 20.9 2.6 2.6 11.7 11.7 83.7 83.7 −12.8 −12.8 13.8 13.8 2.3 2.3 27.4 27.4 Total (mil. dol.) Personal income Per capita3 (dollars) Percent change 2000– 2002 6.7 6.0 8.7 9.4 5.4 11.0 9.3 9.3 7.2 12.4 −7.0 11.1 11.1 2.9 2.9 0.6 3.3 0.3 5.4 5.4 5.3 5.3 4.1 4.1 6.9 6.9 2.5 13.3 2.3 1.7 1.7 2.2 2.2 9.5 9.5 10.4 10.4 11.9 11.9 4.5 4.5 3.9 3.9 4.9 4.9 6.9 6.9 5.3 5.3 14.0 14.0 4.9 4.9 8.1 8.1 1.7 1.7 5.7 5.7 10.7 10.7 10.6 10.6 2.1 2.1 14.3 14.3 7.6 7.6 3.5 3.5 1.4 1.4 11.7 11.7 8.3 8.3 5.4 5.4 5.6 5.6



2002 1,639.3 1,206.7 432.6 1,289.7 363.3 926.4 1,801.3 1,801.3 693.4 532.9 160.5 1,017.3 1,017.3 927.0 927.0 1,636.2 141.7 1,494.5 3,325.4 3,325.4 1,308.7 1,308.7 747.7 747.7 1,460.7 1,460.7 916.3 16.2 900.0 1,173.9 1,173.9 506.9 506.9 4,178.2 4,178.2 1,400.2 1,400.2 1,980.5 1,980.5 941.8 941.8 977.2 977.2 933.4 933.4 1,711.5 1,711.5 815.8 815.8 1,828.4 1,828.4 1,006.9 1,006.9 1,436.2 1,436.2 2,248.2 2,248.2 927.5 927.5 1,251.0 1,251.0 878.0 878.0 1,297.4 1,297.4 2,662.8 2,662.8 951.9 951.9 598.5 598.5 830.5 830.5 372.8 372.8 1,259.2 1,259.2 1,763.0 1,763.0 2,503.4 2,503.4



2000 1,536.5 1,138.7 397.8 1,179.3 344.8 834.5 1,648.1 1,648.1 646.8 474.2 172.7 915.7 915.7 900.7 900.7 1,626.7 137.2 1,489.5 3,156.1 3,156.1 1,243.2 1,243.2 718.2 718.2 1,365.9 1,365.9 894.2 14.3 879.9 1,154.7 1,154.7 495.9 495.9 3,816.1 3,816.1 1,267.9 1,267.9 1,770.5 1,770.5 901.3 901.3 940.3 940.3 889.7 889.7 1,601.4 1,601.4 774.6 774.6 1,604.4 1,604.4 959.7 959.7 1,328.2 1,328.2 2,210.7 2,210.7 877.8 877.8 1,130.2 1,130.2 793.6 793.6 1,270.9 1,270.9 2,329.3 2,329.3 884.8 884.8 578.3 578.3 819.4 819.4 333.7 333.7 1,163.1 1,163.1 1,672.2 1,672.2 2,370.0 2,370.0



2002 21,398 21,836 20,263 22,451 23,794 21,965 28,423 28,423 16,883 16,046 20,418 22,516 22,516 26,873 26,873 27,225 22,863 27,726 24,910 24,910 26,598 26,598 19,298 19,298 23,290 23,290 24,422 21,223 24,489 21,802 21,802 21,682 21,682 25,471 25,471 20,210 20,210 22,004 22,004 23,915 23,915 25,758 25,758 20,589 20,589 25,209 25,209 23,306 23,306 24,603 24,603 24,227 24,227 21,522 21,522 23,020 23,020 23,635 23,635 24,471 24,471 32,563 32,563 26,801 26,801 22,129 22,129 23,493 23,493 19,762 19,762 33,443 33,443 23,305 23,305 21,986 21,986 22,148 22,148 32,107 32,107



2000 20,310 20,902 18,786 20,373 22,406 19,637 25,989 25,989 15,387 14,158 20,200 20,936 20,936 25,709 25,709 27,203 22,150 27,787 24,157 24,157 25,154 25,154 18,622 18,622 21,754 21,754 23,649 17,362 23,789 21,374 21,374 21,515 21,515 24,237 24,237 18,807 18,807 20,248 20,248 22,850 22,850 25,045 25,045 19,248 19,248 24,109 24,109 23,210 23,210 22,374 22,374 23,175 23,175 20,216 20,216 22,892 22,892 23,212 23,212 22,798 22,798 29,829 29,829 26,487 26,487 19,727 19,727 21,907 21,907 18,703 18,703 34,617 34,617 20,532 20,532 20,654 20,654 20,896 20,896 31,534 31,534



Rutland, VT . . . . . . . . Rutland County, VT. . Safford, AZ . . . . . . . . . Graham County, AZ . Greenlee County, AZ. St. Marys, GA . . . . . . . Camden County, GA . St. Marys, PA . . . . . . Elk County, PA. . . . Salina, KS . . . . . . . . Ottawa County, KS . Saline County, KS . Salisbury, NC . . . . . . Rowan County, NC . . . . . . . .



Sanford, NC . . . . . . . . Lee County, NC . . . . Sault Ste. Marie, MI . . . Chippewa County, MI Sayre, PA. . . . . . . . . . Bradford County, PA .



Scottsbluff, NE . . . . . . . . Banner County, NE . . . . Scotts Bluff County, NE . Scottsboro, AL . . . . . . . . Jackson County, AL . . . Scottsburg, IN . . . . . . . . . Scott County, IN . . . . . . Seaford, DE . . . . . . . . Sussex County, DE. . Searcy, AR . . . . . . . . . White County, AR . . . Sebring, FL. . . . . . . . . Highlands County, FL Sedalia, MO . . . . . . Pettis County, MO Selinsgrove, PA . . . . Snyder County, PA Selma, AL . . . . . . . Dallas County, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Seneca, SC . . . . . . . Oconee County, SC Seneca Falls, NY. . . . Seneca County, NY Sevierville, TN. . . . . . Sevier County, TN .



Seymour, IN . . . . . . . . . . . Jackson County, IN. . . . . Shawnee, OK . . . . . . . . . . Pottawatomie County, OK Shelby, NC . . . . . . . . . . . . Cleveland County, NC . . . Shelbyville, TN . . . . . . Bedford County, TN . Shelton, WA . . . . . . . . Mason County, WA . . Sheridan, WY . . . . . . . Sheridan County, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Sidney, OH . . . . . . . . . . Shelby County, OH . . . Sierra Vista-Douglas, AZ . Cochise County, AZ . . Sikeston, MO . . . . . . . . Scott County, MO . . . . Silver City, NM . . . . . Grant County, NM. . Silverthorne, CO . . . . Summit County, CO Snyder, TX . . . . . . . . Scurry County, TX . . . . . . . . . . . . .



Somerset, KY . . . . . . . . . . . Pulaski County, KY . . . . . . Somerset, PA . . . . . . . . . . . Somerset County, PA . . . . Southern Pines-Pinehurst, NC Moore County, NC . . . . . .



See footnotes at end of table.



282



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table D-1. Micropolitan Areas — Population and Personal Income—Con.

Population Micropolitan statistical area Component counties 2005 (July 1) Spearfish, SD . . . . . . . Lawrence County, SD Spencer, IA . . . . . . . . Clay County, IA . . . . Spirit Lake, IA . . . . . . . Dickinson County, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,395 22,395 16,897 16,897 16,687 16,687 41,247 41,247 61,454 61,454 140,924 140,924 114,331 69,725 23,337 21,269 34,076 34,076 20,719 20,719 59,863 59,863 67,585 67,585 69,151 69,151 20,151 20,151 62,984 62,984 33,381 33,381 26,570 26,570 92,610 92,610 34,751 34,751 14,878 14,878 44,671 44,671 80,457 80,457 12,457 12,457 31,722 31,722 35,176 35,176 64,182 64,182 27,679 27,679 44,692 44,692 154,623 154,623 57,483 57,483 40,793 40,793 25,060 25,060 190,071 190,071 141,011 17,644 83,971 17,239 22,157 29,639 29,639 98,394 98,394 97,896 50,869 41,003 6,024 130,360 23,359 78,793 28,208 22,810 22,810 2004 (July 1) 22,312 22,312 16,955 16,955 16,580 16,580 41,136 41,136 60,206 60,206 136,828 136,828 112,604 68,713 23,065 20,826 33,883 33,883 20,932 20,932 59,955 59,955 67,486 67,486 69,389 69,389 20,160 20,160 62,831 62,831 33,121 33,121 26,472 26,472 92,821 92,821 34,606 34,606 15,057 15,057 44,159 44,159 80,157 80,157 12,658 12,658 31,501 31,501 35,228 35,228 60,569 60,569 27,868 27,868 43,866 43,866 153,511 153,511 57,758 57,758 40,204 40,204 25,087 25,087 189,258 189,258 139,573 17,376 82,859 17,217 22,121 29,423 29,423 97,447 97,447 96,819 50,122 40,716 5,981 129,240 23,172 78,105 27,963 23,164 23,164 Net change 20001 (estimates base) 21,764 21,764 17,384 17,384 16,469 16,469 42,949 42,949 56,159 56,159 123,610 123,610 109,241 65,792 23,844 19,605 33,036 33,036 20,660 20,660 60,656 60,656 67,244 67,244 68,159 68,159 20,364 20,364 62,540 62,540 32,021 32,021 25,499 25,499 94,478 94,478 33,767 33,767 15,761 15,761 42,675 42,675 80,375 80,375 13,720 13,720 30,079 30,079 35,362 35,362 53,589 53,589 27,637 27,637 42,845 42,845 147,665 147,665 58,625 58,625 38,434 38,434 25,490 25,490 182,667 182,667 131,990 16,111 77,990 16,627 21,262 29,726 29,726 92,537 92,537 93,291 48,176 39,347 5,768 125,606 22,857 75,978 26,771 24,083 24,083 19902 (April 1) 20,655 20,655 17,585 17,585 14,909 14,909 38,375 38,375 43,125 43,125 92,931 92,931 97,687 54,677 24,461 18,549 27,991 27,991 17,567 17,567 60,186 60,186 61,405 61,405 61,507 61,507 19,965 19,965 58,913 58,913 28,833 28,833 22,242 22,242 96,771 96,771 27,598 27,598 16,594 16,594 34,049 34,049 74,107 74,107 12,463 12,463 23,118 23,118 34,418 34,418 31,577 31,577 26,300 26,300 38,986 38,986 126,677 126,677 59,733 59,733 34,998 34,998 23,257 23,257 174,092 174,092 106,497 12,200 64,273 13,497 16,527 27,595 27,595 78,510 78,510 79,785 40,339 34,725 4,721 107,835 20,017 65,581 22,237 24,928 24,928 2000– 2005 631 631 −487 −487 218 218 −1,702 −1,702 5,295 5,295 17,314 17,314 5,090 3,933 −507 1,664 1,040 1,040 59 59 −793 −793 341 341 992 992 −213 −213 444 444 1,360 1,360 1,071 1,071 −1,868 −1,868 984 984 −883 −883 1,996 1,996 82 82 −1,263 −1,263 1,643 1,643 −186 −186 10,593 10,593 42 42 1,847 1,847 6,958 6,958 −1,142 −1,142 2,359 2,359 −430 −430 7,404 7,404 9,021 1,533 5,981 612 895 −87 −87 5,857 5,857 4,605 2,693 1,656 256 4,754 502 2,815 1,437 −1,273 −1,273 1990– 2000 1,109 1,109 −201 −201 1,560 1,560 4,574 4,574 13,034 13,034 30,679 30,679 11,554 11,115 −617 1,056 5,045 5,045 3,093 3,093 470 470 5,839 5,839 6,652 6,652 399 399 3,627 3,627 3,188 3,188 3,257 3,257 −2,293 −2,293 6,169 6,169 −833 −833 8,626 8,626 6,268 6,268 1,257 1,257 6,961 6,961 944 944 22,012 22,012 1,337 1,337 3,859 3,859 20,988 20,988 −1,108 −1,108 3,436 3,436 2,233 2,233 8,575 8,575 25,493 3,911 13,717 3,130 4,735 2,131 2,131 14,027 14,027 13,506 7,837 4,622 1,047 17,771 2,840 10,397 4,534 −845 −845 Percent change 2000– 2005 2.9 2.9 −2.8 −2.8 1.3 1.3 −4.0 −4.0 9.4 9.4 14.0 14.0 4.7 6.0 −2.1 8.5 3.1 3.1 0.3 0.3 −1.3 −1.3 0.5 0.5 1.5 1.5 −1.0 −1.0 0.7 0.7 4.2 4.2 4.2 4.2 −2.0 −2.0 2.9 2.9 −5.6 −5.6 4.7 4.7 0.1 0.1 −9.2 −9.2 5.5 5.5 −0.5 −0.5 19.8 19.8 0.2 0.2 4.3 4.3 4.7 4.7 −1.9 −1.9 6.1 6.1 −1.7 −1.7 4.1 4.1 6.8 9.5 7.7 3.7 4.2 −0.3 −0.3 6.3 6.3 4.9 5.6 4.2 4.4 3.8 2.2 3.7 5.4 −5.3 −5.3 1990– 2000 5.4 5.4 −1.1 −1.1 10.5 10.5 11.9 11.9 30.2 30.2 33.0 33.0 11.8 20.3 −2.5 5.7 18.0 18.0 17.6 17.6 0.8 0.8 9.5 9.5 10.8 10.8 2.0 2.0 6.2 6.2 11.1 11.1 14.6 14.6 −2.4 −2.4 22.4 22.4 −5.0 −5.0 25.3 25.3 8.5 8.5 10.1 10.1 30.1 30.1 2.7 2.7 69.7 69.7 5.1 5.1 9.9 9.9 16.6 16.6 −1.9 −1.9 9.8 9.8 9.6 9.6 4.9 4.9 23.9 32.1 21.3 23.2 28.7 7.7 7.7 17.9 17.9 16.9 19.4 13.3 22.2 16.5 14.2 15.9 20.4 −3.4 −3.4

5



Personal income Total (mil. dol.) Per capita3 (dollars) Percent change 2000– 2002 17.8 17.8 4.2 4.2 6.3 6.3 12.4 12.4 4.6 4.6 5.3 5.3 8.2 8.2 (5) (5) 10.2 10.2

5



2002 567.4 567.4 462.7 462.7 515.2 515.2 910.7 910.7 1,151.1 1,151.1 3,503.6 3,503.6 2,843.5 2,843.5 (5) (5) 808.9 808.9



2000 481.8 481.8 444.2 444.2 484.7 484.7 809.9 809.9 1,100.4 1,100.4 3,326.4 3,326.4

5



2002 26,252 26,252 27,061 27,061 31,359 31,359 21,426 21,426 20,158 20,158 26,863 26,863

5



2000 22,139 22,139 25,549 25,549 29,435 29,435 18,837 18,837 19,594 19,594 26,914 26,914

5



Starkville, MS . . . . . . . . . Oktibbeha County, MS. . Statesboro, GA . . . . . . . . Bulloch County, GA. . . . Statesville-Mooresville, NC Iredell County, NC . . . . Staunton-Waynesboro, VA . Augusta County, VA . . . Staunton city, VA . . . . . Waynesboro city, VA . . . Stephenville, TX . . . . . . . Erath County, TX . . . . . Sterling, CO . . . . . . . . Logan County, CO . . Sterling, IL . . . . . . . . . Whiteside County, IL . Stevens Point, WI . . . . Portage County, WI. . . . . . . . . . . . . . . . . . . .



2,627.6 2,627.6 (5) (5) 734.3 734.3



25,680 25,680 (5) (5) 24,431 24,431



24,057 24,057 (5) (5) 22,229 22,229



534.4 534.4 1,475.5 1,475.5 1,794.8 1,794.8 1,516.7 1,516.7 499.3 499.3 1,458.4 1,458.4 746.0 746.0 490.6 490.6 2,235.9 2,235.9 643.8 643.8 331.7 331.7 821.7 821.7 1,775.8 1,775.8 217.2 217.2 644.6 644.6 876.4 876.4 995.5 995.5 565.1 565.1 1,115.0 1,115.0 3,907.2 3,907.2 1,380.1 1,380.1 911.4 911.4 611.7 611.7 7,140.1 7,140.1 3,730.7 418.0 2,370.5 312.1 630.1 691.1 691.1 3,122.9 3,122.9 2,234.5 1,218.7 885.0 130.7 3,139.2 495.1 2,095.3 548.8 395.9 395.9



501.8 501.8 1,493.2 1,493.2 1,670.1 1,670.1 1,434.2 1,434.2 482.1 482.1 1,444.5 1,444.5 721.5 721.5 458.9 458.9 2,115.2 2,115.2 589.4 589.4 315.8 315.8 714.9 714.9 1,528.3 1,528.3 191.9 191.9 541.6 541.6 839.9 839.9 826.4 826.4 555.9 555.9 992.6 992.6 3,945.2 3,945.2 1,353.9 1,353.9 841.2 841.2 563.4 563.4 6,948.9 6,948.9 3,535.9 381.0 2,254.8 305.1 594.9 624.6 624.6 2,826.4 2,826.4 2,058.2 1,112.6 826.9 118.6 2,859.4 443.8 1,916.7 499.0 376.2 376.2



25,436 25,436 24,473 24,473 26,674 26,674 21,627 21,627 24,627 24,627 23,352 23,352 23,071 23,071 18,783 18,783 23,919 23,919 19,174 19,174 21,895 21,895 18,945 18,945 22,134 22,134 16,461 16,461 20,912 20,912 24,902 24,902 17,249 17,249 20,339 20,339 25,896 25,896 25,914 25,914 23,822 23,822 23,342 23,342 23,935 23,935 38,309 38,309 27,353 24,949 29,250 18,340 29,201 23,662 23,662 32,841 32,841 23,453 24,780 22,048 21,959 24,701 21,562 27,206 20,245 16,728 16,728



24,291 24,291 24,621 24,621 24,840 24,840 21,012 21,012 23,680 23,680 23,099 23,099 22,530 22,530 17,996 17,996 22,389 22,389 17,456 17,456 20,034 20,034 16,758 16,758 19,019 19,019 13,994 13,994 18,009 18,009 23,756 23,756 15,422 15,422 20,118 20,118 23,166 23,166 26,723 26,723 23,095 23,095 21,883 21,883 22,106 22,106 38,047 38,047 26,791 23,647 28,917 18,350 27,978 21,009 21,009 30,551 30,551 22,064 23,099 21,017 20,565 22,768 19,417 25,230 18,640 15,624 15,624



6.5 6.5 −1.2 −1.2 7.5 7.5 5.8 5.8 3.6 3.6 1.0 1.0 3.4 3.4 6.9 6.9 5.7 5.7 9.2 9.2 5.0 5.0 14.9 14.9 16.2 16.2 13.2 13.2 19.0 19.0 4.3 4.3 20.5 20.5 1.7 1.7 12.3 12.3 −1.0 −1.0 1.9 1.9 8.3 8.3 8.6 8.6 2.8 2.8 5.5 9.7 5.1 2.3 5.9 10.7 10.7 10.5 10.5 8.6 9.5 7.0 10.2 9.8 11.6 9.3 10.0 5.2 5.2



Stillwater, OK . . . . . . . . Payne County, OK . . . Storm Lake, IA . . . . . . . Buena Vista County, IA Sturgis, MI . . . . . . . . . . St. Joseph County, MI .



Sulphur Springs, TX . . . . . . . Hopkins County, TX . . . . . Summerville, GA . . . . . . . . . Chattooga County, GA. . . . Sunbury, PA . . . . . . . . . . . . Northumberland County, PA Susanville, CA. . . . . . . . Lassen County, CA . . . Sweetwater, TX . . . . . . . Nolan County, TX . . . . Tahlequah, OK . . . . . . . Cherokee County, OK . Talladega-Sylacauga, AL . Talladega County, AL . Tallulah, LA. . . . . . . . . . Madison Parish, LA. . . Taos, NM . . . . . . . . . . . Taos County, NM . . . . Taylorville, IL. . . . . . . Christian County, IL The Villages, FL . . . . Sumter County, FL . Thomaston, GA . . . . . Upson County, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Thomasville, GA . . . . . . . Thomas County, GA . . . Thomasville-Lexington, NC Davidson County, NC . . Tiffin, OH . . . . . . . . . . . . Seneca County, OH . . . Tifton, GA. . . . . . . . . . Tift County, GA. . . . Toccoa, GA . . . . . . . . Stephens County, GA Torrington, CT . . . . . . . Litchfield County, CT . . . . . . . . . . . . .



Traverse City, MI . . . . . . . . . Benzie County, MI . . . . . . Grand Traverse County, MI Kalkaska County, MI . . . . . Leelanau County, MI . . . . . Troy, AL . . . . . . . . . . . . . . . Pike County, AL . . . . . . . . Truckee-Grass Valley, CA Nevada County, CA . . Tullahoma, TN. . . . . . . . Coffee County, TN . . . Franklin County, TN . . Moore County, TN . . . Tupelo, MS. . . . . . . . . . Itawamba County, MS . Lee County, MS . . . . . Pontotoc County, MS . Tuskegee, AL . . . . . . . . Macon County, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



283



Table D-1. Micropolitan Areas — Population and Personal Income—Con.

Population Micropolitan statistical area Component counties 2005 (July 1) Twin Falls, ID . . . . . . . . Jerome County, ID . . . Twin Falls County, ID . Ukiah, CA. . . . . . . . . . . Mendocino County, CA Union, SC . . . . . . . . . . Union County, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,057 19,638 69,419 88,161 88,161 28,539 28,539 39,430 7,217 32,213 39,698 39,698 26,955 26,955 35,460 35,460 29,154 29,154 12,995 12,995 26,995 26,995 13,896 13,896 49,131 49,131 36,183 8,909 27,274 38,366 38,366 33,843 33,843 24,142 6,802 17,340 57,558 57,558 39,605 39,605 47,242 47,242 42,033 42,033 50,784 50,784 76,072 76,072 30,466 30,466 46,018 46,018 28,199 28,199 31,717 26,010 5,707 79,328 79,328 116,384 116,384 28,286 28,286 51,611 17,119 34,492 24,107 24,107 38,400 38,400 21,223 21,223 99,844 99,844 115,826 115,826 19,282 19,282 41,199 41,199 42,570 42,570 76,281 76,281 2004 (July 1) 87,387 19,304 68,083 88,407 88,407 28,641 28,641 39,724 7,337 32,387 39,581 39,581 26,663 26,663 35,557 35,557 29,259 29,259 13,019 13,019 26,567 26,567 13,934 13,934 49,221 49,221 35,745 8,929 26,816 38,513 38,513 34,115 34,115 24,251 6,813 17,438 57,238 57,238 39,502 39,502 46,892 46,892 42,470 42,470 50,620 50,620 75,531 75,531 30,287 30,287 45,635 45,635 28,067 28,067 31,573 25,956 5,617 78,307 78,307 114,424 114,424 28,022 28,022 51,100 16,702 34,398 24,350 24,350 37,861 37,861 21,540 21,540 98,089 98,089 114,623 114,623 19,244 19,244 41,169 41,169 42,202 42,202 75,844 75,844 Net change 20001 (estimates base) 82,789 18,440 64,349 86,426 86,426 29,879 29,879 40,203 7,705 32,498 38,944 38,944 25,935 25,935 36,577 36,577 29,639 29,639 13,481 13,481 25,272 25,272 14,628 14,628 49,585 49,585 34,400 8,274 26,126 39,188 39,188 34,981 34,981 25,079 7,127 17,952 55,294 55,294 38,352 38,352 46,625 46,625 43,796 43,796 48,437 48,437 74,235 74,235 29,830 29,830 44,989 44,989 28,439 28,439 31,461 25,910 5,551 75,944 75,944 111,469 111,469 26,914 26,914 51,173 15,714 35,459 26,282 26,282 37,235 37,235 21,973 21,973 92,420 92,420 109,199 109,199 19,660 19,660 41,162 41,162 40,686 40,686 73,932 73,932 19902 (April 1) 68,718 15,138 53,580 80,345 80,345 30,337 30,337 39,988 8,271 31,717 36,019 36,019 23,340 23,340 36,876 36,876 30,464 30,464 13,186 13,186 22,211 22,211 15,121 15,121 47,880 47,880 31,235 7,163 24,072 39,884 39,884 35,069 35,069 25,664 7,516 18,148 48,439 48,439 34,377 34,377 44,585 44,585 45,050 45,050 42,514 42,514 65,294 65,294 27,533 27,533 42,283 42,283 27,466 27,466 27,672 22,698 4,974 67,783 67,783 110,943 110,943 19,499 19,499 48,799 13,328 35,471 28,838 28,838 31,447 31,447 21,120 21,120 75,000 75,000 102,525 102,525 21,129 21,129 38,761 38,761 35,415 35,415 66,061 66,061 2000– 2005 6,268 1,198 5,070 1,735 1,735 −1,340 −1,340 −773 −488 −285 754 754 1,020 1,020 −1,117 −1,117 −485 −485 −486 −486 1,723 1,723 −732 −732 −454 −454 1,783 635 1,148 −822 −822 −1,138 −1,138 −937 −325 −612 2,264 2,264 1,253 1,253 617 617 −1,763 −1,763 2,347 2,347 1,837 1,837 636 636 1,029 1,029 −240 −240 256 100 156 3,384 3,384 4,915 4,915 1,372 1,372 438 1,405 −967 −2,175 −2,175 1,165 1,165 −750 −750 7,424 7,424 6,627 6,627 −378 −378 37 37 1,884 1,884 2,349 2,349 1990– 2000 14,071 3,302 10,769 6,081 6,081 −458 −458 215 −566 781 2,925 2,925 2,595 2,595 −299 −299 −825 −825 295 295 3,061 3,061 −493 −493 1,705 1,705 3,165 1,111 2,054 −696 −696 −88 −88 −585 −389 −196 6,855 6,855 3,975 3,975 2,040 2,040 −1,254 −1,254 5,923 5,923 8,941 8,941 2,297 2,297 2,706 2,706 973 973 3,789 3,212 577 8,161 8,161 526 526 7,415 7,415 2,374 2,386 −12 −2,556 −2,556 5,788 5,788 853 853 17,420 17,420 6,674 6,674 −1,469 −1,469 2,401 2,401 5,271 5,271 7,871 7,871 Percent change 2000– 2005 7.6 6.5 7.9 2.0 2.0 −4.5 −4.5 −1.9 −6.3 −0.9 1.9 1.9 3.9 3.9 −3.1 −3.1 −1.6 −1.6 −3.6 −3.6 6.8 6.8 −5.0 −5.0 −0.9 −0.9 5.2 7.7 4.4 −2.1 −2.1 −3.3 −3.3 −3.7 −4.6 −3.4 4.1 4.1 3.3 3.3 1.3 1.3 −4.0 −4.0 4.8 4.8 2.5 2.5 2.1 2.1 2.3 2.3 −0.8 −0.8 0.8 0.4 2.8 4.5 4.5 4.4 4.4 5.1 5.1 0.9 8.9 −2.7 −8.3 −8.3 3.1 3.1 −3.4 −3.4 8.0 8.0 6.1 6.1 −1.9 −1.9 0.1 0.1 4.6 4.6 3.2 3.2 1990– 2000 20.5 21.8 20.1 7.6 7.6 −1.5 −1.5 0.5 −6.8 2.5 8.1 8.1 11.1 11.1 −0.8 −0.8 −2.7 −2.7 2.2 2.2 13.8 13.8 −3.3 −3.3 3.6 3.6 10.1 15.5 8.5 −1.7 −1.7 −0.3 −0.3 −2.3 −5.2 −1.1 14.2 14.2 11.6 11.6 4.6 4.6 −2.8 −2.8 13.9 13.9 13.7 13.7 8.3 8.3 6.4 6.4 3.5 3.5 13.7 14.2 11.6 12.0 12.0 0.5 0.5 38.0 38.0 4.9 17.9 0.0 −8.9 −8.9 18.4 18.4 4.0 4.0 23.2 23.2 6.5 6.5 −7.0 −7.0 6.2 6.2 14.9 14.9 11.9 11.9 Total (mil. dol.) Personal income Per capita3 (dollars) Percent change 2000– 2002 15.8 15.2 15.9 9.6 9.6 6.9 6.9 1.8 1.7 1.8 1.7 1.7 9.0 9.0 9.5 9.5 −2.7 −2.7 3.6 3.6 12.4 12.4 5.4 5.4 7.7 7.7 8.2 8.7 8.1 8.0 8.0 0.4 0.4 8.5 2.8 10.6 8.2 8.2 7.8 7.8 −1.1 −1.1 1.2 1.2 12.9 12.9 5.0 5.0 2.4 2.4 (Z) (Z) 10.2 10.2 3.5 3.3 4.4 4.4 4.4 7.2 7.2 11.0 11.0 7.7 7.8 7.7 2.3 2.3 11.8 11.8 7.5 7.5 3.2 3.2 6.7 6.7 9.3 9.3 7.8 7.8 −0.5 −0.5 4.8 4.8



2002 2,087.2 463.0 1,624.2 2,358.3 2,358.3 644.6 644.6 974.4 169.2 805.2 1,010.7 1,010.7 527.7 527.7 799.6 799.6 711.0 711.0 322.3 322.3 480.6 480.6 342.0 342.0 1,336.5 1,336.5 727.7 159.0 568.7 966.2 966.2 872.5 872.5 640.8 165.4 475.4 1,354.1 1,354.1 789.7 789.7 1,291.2 1,291.2 1,040.4 1,040.4 1,095.6 1,095.6 2,045.2 2,045.2 686.8 686.8 1,009.3 1,009.3 702.2 702.2 827.1 699.4 127.7 2,214.2 2,214.2 2,734.3 2,734.3 496.4 496.4 1,082.4 337.3 745.1 450.2 450.2 761.9 761.9 457.5 457.5 2,603.1 2,603.1 3,170.5 3,170.5 486.1 486.1 1,188.3 1,188.3 1,050.6 1,050.6 1,813.6 1,813.6



2000 1,803.1 401.8 1,401.4 2,151.2 2,151.2 602.9 602.9 957.3 166.3 791.0 993.5 993.5 484.2 484.2 730.0 730.0 730.9 730.9 311.3 311.3 427.7 427.7 324.4 324.4 1,241.0 1,241.0 672.3 146.2 526.1 894.6 894.6 868.9 868.9 590.8 160.9 429.9 1,252.0 1,252.0 732.7 732.7 1,305.6 1,305.6 1,028.0 1,028.0 970.3 970.3 1,948.3 1,948.3 670.8 670.8 1,009.5 1,009.5 637.4 637.4 799.1 676.8 122.3 2,120.9 2,120.9 2,551.3 2,551.3 447.3 447.3 1,004.7 312.8 692.0 440.3 440.3 681.4 681.4 425.7 425.7 2,522.4 2,522.4 2,971.1 2,971.1 444.9 444.9 1,102.2 1,102.2 1,055.6 1,055.6 1,730.6 1,730.6



2002 24,808 24,787 24,814 26,947 26,947 22,002 22,002 24,376 22,398 24,837 25,743 25,743 19,839 19,839 22,141 22,141 24,277 24,277 24,338 24,338 18,341 18,341 24,455 24,455 27,189 27,189 20,945 18,767 21,647 24,936 24,936 25,282 25,282 26,290 23,788 27,288 24,159 24,159 20,298 20,298 27,652 27,652 24,099 24,099 22,007 22,007 27,287 27,287 23,029 23,029 22,311 22,311 24,964 24,964 26,327 27,091 22,801 28,805 28,805 23,999 23,999 18,001 18,001 21,035 21,071 21,019 17,970 17,970 20,442 20,442 20,914 20,914 27,364 27,364 28,526 28,526 24,917 24,917 29,095 29,095 25,441 25,441 24,205 24,205



2000 21,780 21,785 21,778 24,898 24,898 20,182 20,182 23,816 21,591 24,343 25,514 25,514 18,667 18,667 19,957 19,957 24,666 24,666 23,076 23,076 16,928 16,928 22,171 22,171 25,034 25,034 19,548 17,669 20,144 22,831 22,831 24,843 24,843 23,557 22,580 23,945 22,646 22,646 19,106 19,106 28,007 28,007 23,477 23,477 20,019 20,019 26,247 26,247 22,492 22,492 22,441 22,441 22,416 22,416 25,405 26,127 22,032 27,929 27,929 22,884 22,884 16,619 16,619 19,637 19,907 19,517 16,756 16,756 18,303 18,303 19,375 19,375 27,295 27,295 27,211 27,211 22,627 22,627 26,776 26,776 25,948 25,948 23,412 23,412



Union City, TN-KY . . . . . . Fulton County, KY . . . . Obion County, TN. . . . . Urbana, OH . . . . . . . . . . Champaign County, OH . Uvalde, TX . . . . . . . . . . . Uvalde County, TX . . . . Valley, AL . . . . . . . . . . . Chambers County, AL . Van Wert, OH . . . . . . . . Van Wert County, OH . Vermillion, SD . . . . . . . . Clay County, SD. . . . . Vernal, UT . . . . . . . . . Uintah County, UT . . Vernon, TX . . . . . . . . . Wilbarger County, TX Vicksburg, MS. . . . . . . Warren County, MS. . . . . . . . . . . . . . . . . . . .



Vidalia, GA . . . . . . . . . . . Montgomery County, GA Toombs County, GA . . . Vincennes, IN . . . . . . . . . Knox County, IN . . . . . . Wabash, IN . . . . . . . . . . Wabash County, IN . . . . Wahpeton, ND-MN. . . . . . Wilkin County, MN . . . . Richland County, ND. . . Walla Walla, WA . . . . . . . Walla Walla County, WA Walterboro, SC . . . . . . . . Colleton County, SC . . . Wapakoneta, OH . . . . . Auglaize County, OH. Warren, PA . . . . . . . . . Warren County, PA . . Warrensburg, MO . . . . Johnson County, MO. Warsaw, IN. . . . . . . . . Kosciusko County, IN Washington, IN . . . . . . Daviess County, IN . . Washington, NC . . . . . Beaufort County, NC . . . . . . . . . . . . . . . . . . . . . . . . .



Washington, OH . . . . . . . . Fayette County, OH . . . . Watertown, SD . . . . . . . . . Codington County, SD . . . Hamlin County, SD . . . . . Watertown-Fort Atkinson, WI Jefferson County, WI. . . . Watertown-Fort Drum, NY . Jefferson County, NY . . Wauchula, FL . . . . . . . . . Hardee County, FL . . . . Waycross, GA . . . . . . . . . Pierce County, GA . . . . Ware County, GA . . . . . West Helena, AR . . . . Phillips County, AR . West Plains, MO . . . . Howell County, MO . West Point, MS . . . . . Clay County, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Whitewater, WI . . . . . . Walworth County, WI. Willimantic, CT . . . . . . Windham County, CT Williston, ND . . . . . . . . Williams County, ND .



Willmar, MN . . . . . . . . . Kandiyohi County, MN . Wilmington, OH . . . . . . . Clinton County, OH . . . Wilson, NC . . . . . . . . . . Wilson County, NC . . .



See footnotes at end of table.



284



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table D-1. Micropolitan Areas — Population and Personal Income—Con.

Population Micropolitan statistical area Component counties 2005 (July 1) Winfield, KS . . . . . . . . . . . . . . Cowley County, KS . . . . . . . . Winona, MN . . . . . . . . . . . . . . Winona County, MN . . . . . . . Wisconsin Rapids-Marshfield, WI Wood County, WI . . . . . . . . . Woodward, OK . . . . . . . Woodward County, OK Wooster, OH . . . . . . . . . Wayne County, OH . . . Worthington, MN . . . . . . Nobles County, MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,298 35,298 49,276 49,276 75,234 75,234 19,088 19,088 113,697 113,697 20,508 20,508 21,718 21,718 28,195 28,195 85,579 85,579 2004 (July 1) 35,697 35,697 49,148 49,148 75,228 75,228 18,902 18,902 113,169 113,169 20,479 20,479 21,776 21,776 28,329 28,329 85,487 85,487 Net change 20001 (estimates base) 36,280 36,280 50,015 50,015 75,576 75,576 18,439 18,439 111,701 111,701 20,807 20,807 21,610 21,610 28,163 28,163 84,734 84,734 19902 (April 1) 36,915 36,915 47,828 47,828 73,605 73,605 18,976 18,976 101,461 101,461 20,098 20,098 19,252 19,252 25,506 25,506 82,068 82,068 2000– 2005 −982 −982 −739 −739 −342 −342 649 649 1,996 1,996 −299 −299 108 108 32 32 845 845 1990– 2000 −635 −635 2,187 2,187 1,971 1,971 −537 −537 10,240 10,240 709 709 2,358 2,358 2,657 2,657 2,666 2,666 Percent change 2000– 2005 −2.7 −2.7 −1.5 −1.5 −0.5 −0.5 3.5 3.5 1.8 1.8 −1.4 −1.4 0.5 0.5 0.1 0.1 1.0 1.0 1990– 2000 −1.7 −1.7 4.6 4.6 2.7 2.7 −2.8 −2.8 10.1 10.1 3.5 3.5 12.2 12.2 10.4 10.4 3.2 3.2 Total (mil. dol.) Personal income Per capita3 (dollars) Percent change 2000– 2002 7.7 7.7 4.4 4.4 6.6 6.6 7.0 7.0 5.4 5.4 7.9 7.9 1.6 1.6 3.6 3.6 5.7 5.7



2002 881.4 881.4 1,267.3 1,267.3 2,225.9 2,225.9 392.2 392.2 2,820.4 2,820.4 520.4 520.4 540.4 540.4 522.1 522.1 2,090.4 2,090.4



2000 818.7 818.7 1,214.2 1,214.2 2,087.6 2,087.6 366.5 366.5 2,675.7 2,675.7 482.4 482.4 532.0 532.0 504.0 504.0 1,978.5 1,978.5



2002 24,239 24,239 25,583 25,583 29,533 29,533 21,257 21,257 25,002 25,002 25,241 25,241 25,147 25,147 18,633 18,633 24,540 24,540



2000 22,567 22,567 24,270 24,270 27,627 27,627 19,880 19,880 23,954 23,954 23,182 23,182 24,618 24,618 17,901 17,901 23,350 23,350



Yankton, SD . . . . . . . . . . Yankton County, SD . . . Yazoo City, MS . . . . . . . . Yazoo County, MS . . . . Zanesville, OH . . . . . . . . Muskingum County, OH . Z Less than .05%.



The April 1, 2000, Population Estimates base reflects modifications to the Census 2000 population as documented in the Count Question Resolution program and geographic program revisions. 2 The April 1, 1990, census counts include corrections processed through August 1997 and results of special censuses and test censuses, and do not include adjustments for census coverage errors. 3 Based on resident population estimated as of July 1, 2000 and 2002. 4 Independent city of Martinsville is included with Henry County; data not available separately. 5 Independent cities of Staunton and Waynesboro included with Augusta County; data not available separately. Note: Covers micropolitan statistical areas and component counties defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. For more information, see OMB Bulletin 05-02 at . Survey, Census, or Data Collection Method: Population—Based on the 2000 Census of Population and Housing and, for population estimates, the ‘‘component of population change method’’ and ‘‘County Characteristic Population Estimates Data’’; see Appendix B, Limitations of the Data and Methodology, and also and ; Personal income—Based on the Regional Economic Information System; for more information, see Appendix B, Limitations of the Data and Methodology, and also and . Sources: Population—U.S. Census Bureau, 2000 to 2005 compiled from ‘‘Population Estimates by County,’’ published 16 March 2006; ; and ‘‘Population Estimates, Cumulative Estimates of the Components of Population Change for Counties,’’ published 16 March 2006; April 1, 2000, to July 1, 2005, ; 1990, ‘‘Population Estimates: Annual Time Series,’’ archive 1990 (revised data for April 1, 1990, Population Estimates base) ; Personal income—U.S. Bureau of Economic Analysis, Regional Economic Information System (REIS) 1969-2002 on CD-ROM, and related Internet site at (released 25 May 2004).



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Appendixes

Page

A–1 Appendix A. Source Notes and Explanations B–1 Appendix B. Limitations of the Data and Methodology C–1 Appendix C. Geographic Concepts and Codes D–1 Appendix D. Guide to State Statistical Abstracts and State Information E–1 Appendix E. Ranking Tables



You may visit us on the Web at http://www.census.gov/compendia/smadb



Appendixes



Appendix A. Source Notes and Explanations

This appendix presents general notes on population and economic and government censuses followed by source notes and explanations of the data items presented in table sets A through D of this publication. These table sets vary in both geographic and data coverage. Each table set begins with information on the number of data items and tables, as well as specific geographic coverage. For each table, the table number and title are given, followed by a brief listing of the data items on that table, the source citation for these items, and related definitions and other explanatory text on the source. GENERAL NOTES Population Decennial censuses. The population statistics for 2000 and earlier are based on results from the censuses of population and housing, conducted by the U.S. Census Bureau as of April 1 in each of those years. As provided by Article 1, Section 2, of the U.S. Constitution, adopted in 1787, a census has been taken every 10 years commencing with 1790. The original purposes of the census were to apportion the seats in the U.S. House of Representatives based on the population of each state and to derive an equitable tax on each state for the payment of the Revolutionary War debt. Through the years, the nation’s needs and interests have become more complex, and the content of the decennial census has changed accordingly. Presently, census data not only are used to apportion seats in the House and to aid legislators in the realignment of legislative district boundaries but are also used in the distribution of billions of federal dollars each year and are vital to state and local governments and to private firms for such functions as market analysis, site selection, and environmental impact studies. The decennial census uses both short- and long-form questionnaires to gather information. The short form asks a limited number of basic questions. These questions are asked of all people and housing units and are often referred to as 100-percent questions because they are asked of the entire population. The population items include sex, age, race, Hispanic or Latino, household relationship, and group quarters. Housing items include occupancy status, vacancy status, and tenure (owner occupied or renter occupied). The long form asks more detailed information on a sample basis and includes the 100percent questions as well as questions on education, State and Metropolitan Area Data Book: 2006

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employment, income, ancestry, homeowner costs, units in a structure, number of rooms, plumbing facilities, etc. For a more detailed discussion of the information available from the 2000 census, see Introduction to Census 2000 Data Products available at . Persons enumerated in the census were counted as inhabitants of their usual place of residence, which generally means the place where a person lives and sleeps most of the time. This place is not necessarily the same as the legal residence, voting residence, or domicile. In the vast majority of cases, however, the use of these different bases of classification would produce substantially the same statistics, although appreciable differences may exist for a few areas. The implementation of this usual-residence practice has resulted in the establishment of residence rules for certain categories of persons whose usual place of residence is not immediately apparent (e.g., college students were counted at their college residence). As in the above example, persons were not always counted as residents of the place where they happened to be staying on census day. However, persons without a usual place of residence were counted where they were enumerated. For information on procedures and concepts used for the 2000 Census of Population and Housing, as well as a facsimile of the questionnaires and descriptions of the data products resulting from the census, see U.S. Census Bureau, 2000 Census of Population and Housing: Summary File 1, Technical Documentation, Series SF1/01(RV) released June 2001 and available on the Census Bureau Web site at and 2000 Census of Population and Housing, Demographic Profiles of General Demographic Characteristics, Technical Documentation, released May 2001 and available at . Population estimates. The Census Bureau annually produces estimates of total resident population for each state and county. County population estimates are produced with a component of population change method, while the state population estimates are solely the sum of the county populations. The Census Bureau develops county population estimates with a demographic procedure called an ‘‘administrative records component of population change’’ method. A A–1



major assumption underlying this approach is that the components of population change are closely approximated by administrative data in a demographic change model. In order to apply the model, Census Bureau demographers estimate each component of population change separately. For the population residing in households, the components of population change are births, deaths, and net migration, including net international migration. For the nonhousehold population, change is represented by the net change in the population living in group quarters facilities. Each component in this model is represented with data that are symptomatic of some aspect of population change. For example, birth certificates are symptomatic of additions to the population resulting from births, so the Census Bureau uses these data to estimate the birth component for a county. Some other components are derived from death certificates, Internal Revenue Service (IRS) data, medicare enrollment records, armed forces data, group quarters population data, and data from the American Community Survey (ACS). In cases where the Census Bureau does not have data for all counties for the current estimate year, components of population change are estimated based on one or more simplifying assumptions. When initial population estimates are prepared, the same variant of the component model with these simplifying assumptions is used. In the creation of current vintage population estimates, the initial population estimates from the previous vintage are replaced with ‘‘revised’’ population estimates calculated with the actual data for all components of population change. Calculations of ‘‘revised’’ population estimates also incorporate updates to components of change from previous years. The estimates of the county populations are produced by starting with the base populations from either Census 2000 or the revised population estimate for the most recent year and then adding or subtracting the demographic components of population change calculated for the time period. Basically, the Census Bureau adds the estimated number of births and subtracts the estimated number of deaths for the time period. The Census Bureau then accounts for net migration, which is calculated using several components including net internal migration, net foreign-born international migration, net movement to/from Puerto Rico, net armed forces movement to/from overseas, the change in group quarters population, and native emigration from the United States The Census Bureau produces separate population estimates for the populations under age 65 and age 65 and older, mainly because different data are used to measure the internal migration of these two populations. For the population under age 65, data from individual IRS tax returns is used to calculate measures of migration. A–2



Medicare enrollment is used to calculate measures of migration for the population age 65 and older because this population is not always well-represented on tax returns. The first step in estimating the population under age 65 is to establish the base populations under age 65. The total base population for the estimate of the population under age 65 is either the April 1, 2000, population estimates base or the revised county population estimate for the prior estimate year. For official population estimates, the April 1, 2000, population estimates base is not adjusted for census undercount. In general, the April 1, 2000, population estimates base uses Census 2000 data as its base, but includes certain modifications (geographic updates, Count Question Resolution (CQR) changes to the Census Bureau’s program TIGER database). The group quarters population component is primarily a combination of military personnel living in barracks, college students living in dormitories, and persons residing in institutions. The Census Bureau subtracts the base group quarters population under age 65 from the base total population under age 65 to calculate the base household population under age 65. The components of population change are calculated using resident births, resident deaths to the population under age 65, net internal migration for the population under age 65, and net international migration for the population under age 65. Resident births are recorded by residence of mother, regardless of where the birth occurred; hence, a county need not have a hospital in order to have resident births. Resident deaths to the population under age 65 use death data tabulated by the most recent residence of the decedent, not by the place where the death occurred. Net internal migration for population under age 65 is estimated using household migration derived from federal income tax returns and the change in the group quarters population. Net international migration for the population under age 65 is estimated from several sources, including the net foreign-born international migration, net movement to/from Puerto Rico, net armed forces movement to/from overseas, and native emigration. National-level data on the net foreign-born international migration of the population under 65 for the current estimate period are distributed to counties based on the county distribution of the noncitizen foreign-born population who entered the U.S. during the 5 years prior to April 1, 2000, from Census 2000. National-level data on the total net movement of the population under age 65 to or from Puerto Rico for the current estimate period are distributed to counties based on the county distribution of the Puerto Rican population who entered the U.S. during the 5 years prior to April 1, 2000. The national-level total armed forces station strength data are distributed to states using armed forces data originally State and Metropolitan Area Data Book: 2006

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supplied by each branch of the service, and these statelevel data are distributed to counties using the military employment data from Census 2000. National-level data on the total number of emigrants from the United States under age 65 for the current estimate period are distributed to counties based on the county distribution of the native-born population from Census 2000. The first step in estimating the population age 65 and older is to establish the base populations. The total base population for the estimate of the population age 65 and older is either the Census 2000 base (for July 1 population estimate in the decennial year) or the revised county population estimate for the prior estimate year. The base group quarters population age 65 and older is primarily a combination of persons age 65 and older residing in nursing homes and other facilities and persons residing in institutions. This population is subtracted from the total base population to calculate the base household population age 65 and older. The components of population change for the population 65 and older are resident deaths to populations age 65 and older, net internal migration for population age 65 and older, and net international migration for population age 65 and over. Resident deaths to the population age 65 and older use death data tabulated by the most recent residence of the decedent, not by the place where the death occurred. Net internal migration for population age 65 and older includes household migration derived from medicare enrollment records and the change in the group quarters population. The process used to derive the net international migration for the population age 65 and older is similar to that used for the population under age 65. A detailed explanation of how population estimates are produced can be found at . American Community Survey The American Community Survey (ACS) is a new nationwide survey designed to provide communities a fresh look at how they are changing. It is intended to eliminate the need for the long form in the 2010 census. The ACS collects information from U.S. households similar to what was collected on the Census 2000 long form, such as income, commute time to work, home value, veteran status, and other important data. As with the official U.S. census, information about individuals will remain confidential. The ACS collects and produces population and housing information every year instead of every 10 years. About three million households are surveyed each year. Collecting data every year will reduce the cost of the official State and Metropolitan Area Data Book: 2006

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decennial census, and will provide more up-to-date information throughout the decade about trends in the U.S. population at the local community level. A similar program is planned for Puerto Rico. The ACS began in 1996 and has expanded each subsequent year. Data from the 2003 ACS are available for approximately 862 geographies including the nation, all states, the District of Columbia, most areas with a population of 250,000 or more, and selected areas of 65,000 or more. The Census Bureau plans to conduct the ACS in every county of the United States, contacting the residents of three million housing units. Within 3 years, data should be available for all areas of 20,000 or more. For small areas less than 20,000, it will take 5 years to accumulate a large enough sample to provide estimates with accuracy similar to the decennial census. Economic Censuses The economic census is the major source of facts about the structure and functioning of the nation’s economy. It provides essential information for government, business, industry, and the general public. It furnishes an important part of the framework for such composite measures as the gross domestic product estimates, input/output measures, production and price indexes, and other statistical series that measure short-term changes in economic conditions. Title 13 of the United States Code (Sections 131, 191, and 224) directs the Census Bureau to take the economic census every 5 years, covering years ending in ‘‘2’’ and ‘‘7.’’ The economic censuses form an integrated program at 5-year intervals since 1967 and before that for 1963, 1958, and 1954. Prior to that time, the individual censuses were taken separately at varying intervals. Prior to 1997, the Census Bureau took the census of agriculture, but beginning in 1997, the census has been done under the direction of the U.S. Department of Agriculture. Beginning with the 1997 Economic Census data found in this publication, the census presents data based on the North American Industry Classification System (NAICS). Previous census data were presented based on the Standard Industrial Classification (SIC) system developed some 60 years ago. Due to this change, comparability between census years and data found in previous books will be limited. This new system of industrial classification was developed by experts on classification in government and private industry under the guidance of the Office of Information and Regulatory Affairs, Office of Management and Budget. There are 20 NAICS sectors, which are subdivided into 100 subsectors (three-digit codes), 317 industry groups (fourdigit codes), and, as implemented in the United States, 1,904 industries (five- and six-digit codes). While many of the individual NAICS industries correspond directly to industries as defined under the SIC system, most of the higher-level groupings do not. A–3



The economic censuses are collected on an establishment basis. A company operating at more than one location is required to file a separate report for each store, factory, shop, or other location. Each establishment is assigned a separate industry classification based on its primary activity and not that of its parent company. Establishments responding to the establishment survey are classified into industries on the basis of their principal product or activity (determined by annual sales volume) in accordance with the ‘‘North American Industry Classification System—United States, 2002’’ manual available from the National Technical Information Service. More detailed information about the scope, coverage, classification system, data items, and publications for each of the economic censuses and related surveys is published in the Guide to the Economic Censuses and Related Statistics. More information on the methodology, procedures, and history of the censuses is available in the ‘‘Guide to the 2002 Economic Census’’ found on the Census Bureau Web site at . Data from the 2002 Economic Census were released through the Census Bureau’s American FactFinder service, on CD-ROM, and in Adobe Acrobat PDF reports available on the Census Bureau Web site. For more information on these various media of release, see the following page on the Census Bureau Web site . North American Industry Classification System (NAICS) Sectors The Agriculture, Forestry, Fishing and Hunting sector (NAICS 11) comprises establishments primarily engaged in growing crops, raising animals, harvesting timber, and harvesting fish and other animals from a farm, ranch, or their natural habitats. The establishments in this sector are often described as farms, ranches, dairies, greenhouses, nurseries, orchards, or hatcheries. A farm may consist of a single tract of land or a number of separate tracts, which may be held under different tenures. For example, one tract may be owned by the farm operator and another rented. It may be operated by the operator alone or with the assistance of members of the household or hired employees, or it may be operated by a partnership, corporation, or other type of organization. When a landowner has one or more tenants, renters, croppers, or managers, the land operated by each is considered a farm. The sector distinguishes two basic activities: agricultural production and agricultural support activities. Agricultural production includes establishments performing the complete farm or ranch operation, such as farm owneroperators, tenant farm operators, and sharecroppers. Agricultural support activities include establishments that A–4



perform one or more activities associated with farm operation, such as soil preparation, planting, harvesting, and management, on a contract or fee basis. Excluded from the Agriculture, Forestry, Hunting and Fishing sector are establishments primarily engaged in agricultural research and establishments primarily engaged in administering programs for regulating and conserving land, mineral, wildlife, and forest use. These establishments are classified in Industry 54171, Research and Development in the Physical, Engineering, and Life Sciences; and Industry 92412, Administration of Conservation Programs, respectively. The Mining sector (NAICS 21) comprises establishments that extract naturally occurring mineral solids, such as coal and ores; liquid minerals, such as crude petroleum; and gases, such as natural gas. The term mining is used in the broad sense to include quarrying, well operations, beneficiating (e.g., crushing, screening, washing, and flotation), and other preparation customarily performed at the mine site, or as a part of mining activity. The Mining sector distinguishes two basic activities: mine operation and mining support activities. Mine operation includes establishments operating mines, quarries, or oil and gas wells on their own account or for others on a contract or fee basis. Mining support activities include establishments that perform exploration (except geophysical surveying) and/or other mining services on a contract or fee basis (except mine site preparation and construction of oil/gas pipelines). Establishments in the Mining sector are grouped and classified according to the natural resource mined or to be mined. Industries include establishments that develop the mine site, extract the natural resources, and/or those that beneficiate (i.e., prepare) the mineral mined. Beneficiation is the process whereby the extracted material is reduced to particles that can be separated into mineral and waste, the former suitable for further processing or direct use. The operations that take place in beneficiation are primarily mechanical, such as grinding, washing, magnetic separation, and centrifugal separation. In contrast, manufacturing operations primarily use chemical and electrochemical processes, such as electrolysis and distillation. However, some treatments, such as heat treatments, take place in both the beneficiation and the manufacturing (i.e., smelting/refining) stages. The range of preparation activities varies by mineral and the purity of any given ore deposit. While some minerals, such as petroleum and natural gas, require little or no preparation, others are washed and screened, while yet others, such as gold and silver, can be transformed into bullion before leaving the mine site. Mining, beneficiating, and manufacturing activities often occur in a single location. Separate receipts will be collected for these activities whenever possible. When State and Metropolitan Area Data Book: 2006

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receipts cannot be broken out between mining and manufacturing, establishments that mine or quarry nonmetallic minerals and beneficiate the nonmetallic minerals into more finished manufactured products are classified based on the primary activity of the establishment. A mine that manufactures a small amount of finished products will be classified in Sector 21, Mining. An establishment that mines whose primary output is a more finished manufactured product will be classified in Sector 31–33, Manufacturing. The Utilities sector (NAICS 22) comprises establishments engaged in the provision of the following utility services: electric power, natural gas, steam supply, water supply, and sewage removal. Within this sector, the specific activities associated with the utility services provided vary by utility: electric power includes generation, transmission, and distribution; natural gas includes distribution; steam supply includes provision and/or distribution; water supply includes treatment and distribution; and sewage removal includes collection, treatment, and disposal of waste through sewer systems and sewage treatment facilities. Excluded from this sector are establishments primarily engaged in waste management services classified in Subsector 562, Waste Management and Remediation Services, which also collect, treat, and dispose of waste materials; however, they do not use sewer systems or sewage treatment facilities. The Construction sector (NAICS 23) comprises establishments primarily engaged in the construction of buildings or engineering projects (e.g., highways and utility systems). Establishments primarily engaged in the preparation of sites for new construction and establishments primarily engaged in subdividing land for sale as building sites also are included in this sector. Construction work done may include new work, additions, alterations, or maintenance and repairs. Activities of these establishments generally are managed at a fixed place of business, but they usually perform construction activities at multiple project sites. Production responsibilities for establishments in this sector are usually specified in (1) contracts with the owners of construction projects (prime contracts) or (2) contracts with other construction establishments (subcontracts). Establishments primarily engaged in contracts that include responsibility for all aspects of individual construction projects are commonly known as general contractors, but also may be known as design-builders, construction managers, turnkey contractors, or (in cases where two or more establishments jointly secure a general contract) jointventure contractors. Construction managers that provide oversight and scheduling only (i.e., agency) as well as construction managers that are responsible for the entire State and Metropolitan Area Data Book: 2006

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project (i.e., at risk) are included as general contractortype establishments. Establishments of the ‘‘general contractor type’’ frequently arrange construction of separate parts of their projects through subcontracts with other construction establishments. Establishments primarily engaged in activities to produce a specific component (e.g., masonry, painting, and electrical work) of a construction project are commonly known as specialty trade contractors. Activities of specialty trade contractors are usually subcontracted from other construction establishments, but especially in remodeling and repair construction, the work may be done directly for the owner of the property. Establishments primarily engaged in activities to construct buildings to be sold on sites that they own are known as operative builders, but also may be known as speculative builders or merchant builders. Operative builders produce buildings in a manner similar to general contractors, but their production processes also include site acquisition and securing of financial backing. Operative builders are most often associated with the construction of residential buildings. Like general contractors, they may subcontract all or part of the actual construction work on their buildings. There are substantial differences in the types of equipment, workforce skills, and other inputs required by establishments in this sector. To highlight these differences and variations in the underlying production functions, this sector is divided into three subsectors. Subsector 236, Construction of Buildings, comprises establishments of the general contractor type and operative builders involved in the construction of buildings. Subsector 237, Heavy and Civil Engineering Construction, comprises establishments involved in the construction of engineering projects. Subsector 238, Specialty Trade Contractors, comprises establishments engaged in specialty trade activities generally needed in the construction of all types of buildings. Force account construction is construction work performed by an enterprise primarily engaged in some business other than construction for its own account and use, using employees of the enterprise. This activity is not included in the construction sector unless the construction work performed is the primary activity of a separate establishment of the enterprise. The installation and the ongoing repair and maintenance of telecommunications and utility networks is excluded from construction when the establishments performing the work are not independent contractors. Although a growing proportion of this work is subcontracted to independent contractors in the Construction Sector, the operating units of telecommunications and utility companies performing this work are included with the telecommunications or utility activities. A–5



The Manufacturing sector (NAICS 31–33) comprises establishments engaged in the mechanical, physical, or chemical transformation of materials, substances, or components into new products. The assembling of component parts of manufactured products is considered manufacturing, except in cases where the activity is appropriately classified in Sector 23, Construction. Establishments in the Manufacturing sector are often described as plants, factories, or mills and characteristically use power-driven machines and materials-handling equipment. However, establishments that transform materials or substances into new products by hand or in the worker’s home and those engaged in selling to the general public products made on the same premises from which they are sold, such as bakeries, candy stores, and custom tailors, may also be included in this sector. Manufacturing establishments may process materials or may contract with other establishments to process their materials for them. Both types of establishments are included in manufacturing. The materials, substances, or components transformed by manufacturing establishments are raw materials that are products of agriculture, forestry, fishing, mining, or quarrying as well as products of other manufacturing establishments. The materials used may be purchased directly from producers, obtained through customary trade channels, or secured without recourse to the market by transferring the product from one establishment to another, under the same ownership. The new product of a manufacturing establishment may be finished in the sense that it is ready for utilization or consumption, or it may be semifinished to become an input for an establishment engaged in further manufacturing. For example, the product of the alumina refinery is the input used in the primary production of aluminum; primary aluminum is the input to an aluminum wire drawing plant; and aluminum wire is the input for a fabricated wire product manufacturing establishment. The subsectors in the Manufacturing sector generally reflect distinct production processes related to material inputs, production equipment, and employee skills. In the machinery area, where assembling is a key activity, parts and accessories for manufactured products are classified in the industry of the finished manufactured item when they are made for separate sale. For example, a replacement refrigerator door would be classified with refrigerators, and an attachment for a piece of metalworking machinery would be classified with metalworking machinery. However, components, input from other manufacturing establishments, are classified based on the production function of the component manufacturer. For example, electronic components are classified in Subsector 334, Computer and Electronic Product Manufacturing, and stampings are classified in Subsector 332, Fabricated Metal Product Manufacturing. A–6



Manufacturing establishments often perform one or more activities that are classified outside the Manufacturing sector of NAICS. For instance, almost all manufacturing has some captive research and development or administrative operations, such as accounting, payroll, or management. These captive services are treated the same as captive manufacturing activities. When the services are provided by separate establishments, they are classified to the NAICS sector where such services are primary, not in manufacturing. The boundaries of manufacturing and the other sectors of the classification system can be somewhat blurry. The establishments in the manufacturing sector are engaged in the transformation of materials into new products. Their output is a new product. However, the definition of what constitutes a new product can be somewhat subjective. As clarification, the following activities are considered manufacturing in NAICS: Milk bottling and pasteurizing; Water bottling and processing; Fresh fish packaging (oyster shucking, fish filleting); Apparel jobbing (assigning of materials to contract factories or shops for fabrication or other contract operations) as well as contracting on materials owned by others; Printing and related activities; Ready-mixed concrete production; Leather converting; Grinding of lenses to prescription; Wood preserving; Electroplating, plating, metal heat treating, and polishing for the trade; Lapidary work for the trade; Fabricating signs and advertising displays; Rebuilding or remanufacturing machinery (i.e., automotive parts); Ship repair and renovation; Machine shops; and Tire retreading. Conversely, there are activities that are sometimes considered manufacturing, but that for NAICS are classified in another sector (i.e., not classified as manufacturing). They include: (1) Logging, classified in Sector 11, Agriculture, Forestry, Fishing and Hunting, is considered a harvesting operation; (2) The beneficiating of ores and other minerals, classified in Sector 21, Mining, is considered part of the activity of mining; (3) The construction of structures and fabricating operations performed at the site of construction by contractors is classified in Sector 23, Construction; (4) Establishments engaged in breaking of bulk and redistribution in smaller lots, including packaging, repackaging, or bottling products, such as liquors or chemicals; the customized assembly of computers; sorting of scrap; mixing paints to customer order; and cutting metals to customer order, classified in Sector 42, Wholesale Trade or Sector 44–45, Retail Trade, produce a modified version of the same product, not a new product; and (5) Publishing and the combined activity of publishing and printing, classified in Sector 51, Information, perform the transformation of information into a product where the value of the product to the consumer lies in the information content, not in the format in which it is distributed (i.e., the book or software diskette). State and Metropolitan Area Data Book: 2006

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Industries in the Wood Product Manufacturing subsector (NAICS 321) manufacture wood products, such as lumber, plywood, veneers, wood containers, wood flooring, wood trusses, manufactured homes (i.e., mobile homes), and prefabricated wood buildings. The production processes of the Wood Product Manufacturing subsector include sawing, planing, shaping, laminating, and assembling of wood products starting from logs that are cut into bolts, or lumber that then may be further cut, or shaped by lathes or other shaping tools. The lumber or other transformed wood shapes may also be subsequently planed or smoothed and assembled into finished products, such as wood containers. The Wood Product Manufacturing subsector includes establishments that make wood products from logs and bolts that are sawed and shaped, and establishments that purchase sawed lumber and make wood products. With the exception of sawmills and wood preservation establishments, the establishments are grouped into industries mainly based on the specific products manufactured. Industries in the Paper Manufacturing subsector (NAICS 322) make pulp, paper, or converted paper products. The manufacturing of these products is grouped together because they constitute a series of vertically connected processes. More than one is often carried out in a single establishment. There are essentially three activities. The manufacturing of pulp involves separating the cellulose fibers from other impurities in wood or used paper. The manufacturing of paper involves matting these fibers into a sheet. Converted paper products are made from paper and other materials by various cutting and shaping techniques, and include coating and laminating activities. The Paper Manufacturing subsector is subdivided into two industry groups, the first for the manufacturing of pulp and paper and the second for the manufacturing of converted paper products. Paper making is treated as the core activity of the subsector. Therefore, any establishment that makes paper (including paperboard), either alone or in combination with pulp manufacturing or paper converting, is classified as a paper or paperboard mill. Establishments that make pulp without making paper are classified as pulp mills. Pulp mills, paper mills, and paperboard mills comprise the first industry group. Establishments that make products from purchased paper and other materials make up the second industry group, Converted Paper Product Manufacturing. This general activity is then subdivided based, for the most part, on process distinctions. Paperboard container manufacturing uses corrugating, cutting, and shaping machinery to form paperboard into containers. Paper bag and coated and treated paper manufacturing establishments cut and coat paper and foil. Stationery product manufacturing establishments make a variety of paper products used for writing, filing, and similar applications. Other converted paper State and Metropolitan Area Data Book: 2006

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product manufacturing includes, in particular, the conversion of sanitary paper stock into such things as tissue paper and disposable diapers. An important process used in the Paper Bag and Coated and Treated Paper Manufacturing industry is lamination, often combined with coating. Lamination and coating makes a composite material with improved properties of strength, impermeability, and so on. The laminated materials may be paper, metal foil, or plastics film. While paper is often one of the components, it is not always. Lamination of plastics film to plastics film is classified in the NAICS Subsector 326, Plastics and Rubber Products Manufacturing, because establishments that do this often first make the film. The same situation holds with respect to bags. The manufacturing of bags from plastics only, whether or not laminated, is classified in Subsector 326, Plastics and Rubber Products Manufacturing, but all other bag manufacturing is classified in this subsector. Excluded from this subsector are photosensitive papers. These papers are chemically treated and are classified in Industry 32599, All Other Chemical Product and Preparation Manufacturing. Industries in the Textile Mills subsector (NAICS 313) group establishments that transform a basic fiber (natural or synthetic) into a product, such as yarn or fabric, that is further manufactured into usable items, such as apparel, sheets towels, and textile bags for individual or industrial consumption. The further manufacturing may be performed in the same establishment and classified in this subsector, or it may be performed at a separate establishment and be classified elsewhere in manufacturing. Industries in the Textile Product Mills subsector (NAICS 314) group establishments that make textile products (except apparel). With a few exceptions, processes used in these industries are generally cut and sew (i.e., purchasing fabric and cutting and sewing to make nonapparel textile products, such as sheets and towels). Industries in the Apparel Manufacturing subsector (NAICS 315) group establishments with two distinct manufacturing processes: (1) cut and sew (i.e., purchasing fabric and cutting and sewing to make a garment) and (2) the manufacture of garments in establishments that first knit fabric and then cut and sew the fabric into a garment. The Apparel Manufacturing subsector includes a diverse range of establishments manufacturing full lines of ready-towear apparel and custom apparel: apparel contractors, performing cutting or sewing operations on materials owned by others; jobbers performing entrepreneurial functions involved in apparel manufacture; and tailors, manufacturing custom garments for individual clients, are all included. Knitting, when done alone, is classified in the Textile Mills subsector, but when knitting is combined with the production of complete garments, the activity is classified in Apparel Manufacturing. A–7



Industries in the Machinery Manufacturing subsector (NAICS 333) create end products that apply mechanical force; for example, the application of gears and levers, to perform work. Some important processes for the manufacture of machinery are forging, stamping, bending, forming, and machining that are used to shape individual pieces of metal. Processes such as welding and assembling are used to join separate parts together. Although these processes are similar to those used in metalfabricating establishments, machinery manufacturing is different because it typically employs multiple metalforming processes in manufacturing the various parts of the machine. Moreover, complex assembly operations are an inherent part of the production process. Industries in the Computer and Electronic Product Manufacturing subsector (NAICS 334) group establishments that manufacture computers, computer peripherals, communications equipment, and similar electronic products, and establishments that manufacture components for such products. The Computer and Electronic Product Manufacturing industries have been combined in the hierarchy of NAICS because of the economic significance they have attained. Their rapid growth suggests that they will become even more important to the economies of all three North American countries in the future, and in addition, their manufacturing processes are fundamentally different from the manufacturing processes of other machinery and equipment. The design and use of integrated circuits and the application of highly specialized miniaturization technologies are common elements in the production technologies of the computer and electronic subsector. Convergence of technology motivates this NAICS subsector. Digitalization of sound recording, for example, causes both the medium (the compact disc) and the equipment to resemble the technologies for recording, storing, transmitting, and manipulating data. Communications technology and equipment have been converging with computer technology. When technologically related components are in the same sector, it makes it easier to adjust the classification for future changes without needing to redefine its basic structure. The creation of the Computer and Electronic Product Manufacturing subsector will assist in delineating new and emerging industries because the activities that will serve as the probable sources of new industries, such as computer manufacturing and communications equipment manufacturing, or computers and audio equipment, are brought together. As new activities emerge, they are less likely, therefore, to cross the subsector boundaries of the classification. Industries in the Motor Vehicle Manufacturing industry group (NAICS 3361) combine establishments primarily engaged in manufacturing complete motor vehicles or manufacturing chassis only. Motor vehicles includes automobiles, light duty motor vehicles, light trucks, utility vehicles, and heavy duty trucks. A–8



Industries in the Motor Vehicle Body and Trailer Manufacturing industry group (NAICS 3362) combine establishments primarily engaged in manufacturing motor vehicle bodies, trailers, motor homes, travel trailers, and campers. Industries in the Motor Vehicle Parts Manufacturing industry group (NAICS 3363) combine establishments primarily engaged in manufacturing and/or rebuilding motor vehicle parts, including gasoline engine and engine parts, carburetors, pistons, piston rings, valves, motor vehicle electrical and electronic equipment, vehicular lighting, steering and suspension components (except spring), brake systems, transmission and power train parts, vehicle seating and interior trim, motor vehicle metal stamping, and other motor vehicle parts. The Wholesale Trade sector (NAICS 42) comprises establishments engaged in wholesaling merchandise, generally without transformation, and rendering services incidental to the sale of merchandise. The wholesaling process is an intermediate step in the distribution of merchandise. Wholesalers are organized to sell or arrange the purchase or sale of — 1. goods for resale (i.e., goods sold to other wholesalers or retailers), 2. capital or durable nonconsumer goods, or 3. raw and intermediate materials and supplies used in production. Wholesalers sell merchandise to other businesses and normally operate from a warehouse or office. These warehouses and offices are characterized by having little or no display of merchandise. In addition, neither the design nor the location of the premises is intended to solicit walk-in traffic. Wholesalers do not normally use advertising directed to the general public. Customers are generally reached initially via telephone, in-person marketing, or by specialized advertising that may include Internet and other electronic means. Follow-up orders are either vendor-initiated or client-initiated, generally based on previous sales, and typically exhibit strong ties between sellers and buyers. In fact, transactions are often conducted between wholesalers and clients that have long-standing business relationships. This sector comprises two main types of wholesalers: those that sell goods on their own account, and those that arrange sales and purchases for others, generally for a commission or fee. 1. Establishments that sell goods on their own account are known as wholesale merchants, distributors, jobbers, drop shippers, and import/export merchants. Also included as wholesale merchants are sales offices and sales branches (but not retail stores) maintained by manufacturing, refining, or mining enterprises apart from their plants or mines for the purpose of State and Metropolitan Area Data Book: 2006

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marketing their products. Merchant wholesale establishments typically maintain their own warehouse, where they receive and handle goods for their customers. Goods are generally sold without transformation, but may include integral functions, such as sorting, packaging, labeling, and other marketing services. 2. Establishments arranging for the purchase or sale of goods owned by others or purchasing goods, generally on a commission basis, are known as business-tobusiness electronic markets, agents and brokers, commission merchants, import/export agents and brokers, auction companies, and manufacturers’ representatives. These establishments operate from offices and generally do not own or handle the goods they sell. Some wholesale establishments may be connected with a single manufacturer and promote and sell the particular manufacturers’ products to a wide range of other wholesalers or retailers. Other wholesalers may be connected to a retail chain or a limited number of retail chains and only provide a variety of products needed by the retail operation(s). These wholesalers may obtain the products from a wide range of manufacturers. Still other wholesalers may not take title to the goods, but act as agents and brokers for a commission. Although wholesaling normally denotes sales in large volumes, durable nonconsumer goods may be sold in single units. Sales of capital or durable nonconsumer goods used in the production of goods and services, such as farm machinery, medium and heavy duty trucks, and industrial machinery, are always included in wholesale trade. The Retail Trade sector (NAICS 44–45) comprises establishments engaged in retailing merchandise, generally without transformation, and rendering services incidental to the sale of merchandise. The retailing process is the final step in the distribution of merchandise; retailers are, therefore, organized to sell merchandise in small quantities to the general public. This sector comprises two main types of retailers: store and nonstore retailers. Store retailers operate fixed point-of-sale locations, located and designed to attract a high volume of walk-in customers. In general, retail stores have extensive displays of merchandise and use mass-media advertising to attract customers. They typically sell merchandise to the general public for personal or household consumption, but some also serve business and institutional clients. These include establishments, such as office supply stores, computer and software stores, building materials dealers, plumbing supply stores, and electrical supply stores. Catalog showrooms, gasoline service stations, automotive dealers, and mobile home dealers are treated as store retailers. State and Metropolitan Area Data Book: 2006

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In addition to retailing merchandise, some types of store retailers are also engaged in the provision of after-sales services, such as repair and installation. For example, new automobile dealers, electronics and appliance stores, and musical instrument and supplies stores often provide repair services. As a general rule, establishments engaged in retailing merchandise and providing after-sales services are classified in this sector. The first 11 subsectors of retail trade are store retailers. The establishments are grouped into industries and industry groups typically based on one or more of the following criteria: 1. The merchandise line or lines carried by the store; for example, specialty stores are distinguished from general-line stores. 2. The usual trade designation of the establishments. This criterion applies in cases where a store type is well-recognized by the industry and the public, but difficult to define strictly in terms of merchandise lines carried; for example, pharmacies, hardware stores, and department stores. 3. Capital requirements in terms of display equipment; for example, food stores have equipment requirements not found in other retail industries. 4. Human resource requirements in terms of expertise; for example, the staff of an automobile dealer requires knowledge in financing, registering, and licensing issues that are not necessary in other retail industries. Nonstore retailers, like store retailers, are organized to serve the general public, but their retailing methods differ. The establishments of this subsector reach customers and market merchandise with methods such as the broadcasting of ‘‘infomercials,’’ the broadcasting and publishing of direct-response advertising, the publishing of paper and electronic catalogs, door-to-door solicitation, in-home demonstration, selling from portable stalls (street vendors, except food), and distribution through vending machines. Establishments engaged in the direct sale (nonstore) of products, such as home heating oil dealers and home delivery newspaper routes, are included here. The buying of goods for resale is a characteristic of retail trade establishments that particularly distinguishes them from establishments in the agriculture, manufacturing, and construction industries. For example, farms that sell their products at or from the point of production are not classified in retail, but rather in agriculture. Similarly, establishments that both manufacture and sell their products to the general public are not classified in retail, but rather in manufacturing. However, establishments that engage in processing activities incidental to retailing are classified in retail. This includes establishments, such as optical goods stores that do in-store grinding of lenses, and meat and seafood markets. A–9



Wholesalers also engage in the buying of goods for resale, but they are not usually organized to serve the general public. They typically operate from a warehouse or office, and neither the design nor the location of these premises is intended to solicit a high volume of walk-in traffic. Wholesalers supply institutional, industrial, wholesale, and retail clients; their operations are, therefore, generally organized to purchase, sell, and deliver merchandise in larger quantities. However, dealers of durable nonconsumer goods, such as farm machinery and heavy duty trucks, are included in wholesale trade even if they often sell these products in single units. The Transportation and Warehousing sector (NAICS 48–49) includes industries providing transportation of passengers and cargo, warehousing and storage for goods, scenic and sightseeing transportation, and support activities related to modes of transportation. Establishments in these industries use transportation equipment or transportation-related facilities as a productive asset. The type of equipment depends on the mode of transportation. The modes of transportation are air, rail, water, road, and pipeline. The Transportation and Warehousing sector distinguishes three basic types of activities: subsectors for each mode of transportation, a subsector for warehousing and storage, and a subsector for establishments providing support activities for transportation. In addition, there are subsectors for establishments that provide passenger transportation for scenic and sightseeing purposes, postal services, and courier services. A separate subsector for support activities is established in the sector because, first, support activities for transportation are inherently multimodal, such as freight transportation arrangement, or have multimodal aspects. Secondly, there are production process similarities among the support activity industries. One of the support activities identified in the support activity subsector is the routine repair and maintenance of transportation equipment (e.g., aircraft at an airport, railroad rolling stock at a railroad terminal, or ships at a harbor or port facility). Such establishments do not perform complete overhauling or rebuilding of transportation equipment (i.e., periodic restoration of transportation equipment to original design specifications) or transportation equipment conversion (i.e., major modification to systems). An establishment that primarily performs factory (or shipyard) overhauls, rebuilding, or conversions of aircraft, railroad rolling stock, or a ship is classified in Subsector 336, Transportation Equipment Manufacturing, according to the type of equipment. Many of the establishments in this sector often operate on networks, with physical facilities, labor forces, and equipment spread over an extensive geographic area. Warehousing establishments in this sector are distinguished A–10



from merchant wholesaling in that the warehouse establishments do not sell the goods. Excluded from this sector are establishments primarily engaged in providing travel agent services that support transportation and other establishments, such as hotels, businesses, and government agencies. These establishments are classified in Sector 56, Administrative and Support, Waste Management, and Remediation Services. Also, establishments primarily engaged in providing rental and leasing of transportation equipment without operator are classified in Subsector 532, Rental and Leasing Services. The Information sector (NAICS 51) comprises establishments engaged in the following processes: (1) producing and distributing information and cultural products, (2) providing the means to transmit or distribute these products as well as data or communications, and (3) processing data. The main components of this sector are the publishing industries, including software publishing, and both traditional publishing and publishing exclusively on the Internet; the motion picture and sound recording industries; the broadcasting industries, including traditional broadcasting and those broadcasting exclusively over the Internet; the telecommunications industries; the industries known as Internet service providers and Web search portals; data processing industries; and the information services industries. The expressions ‘‘information age’’ and ‘‘global information economy’’ are used with considerable frequency today. The general idea of an ‘‘information economy’’ includes both the notion of industries primarily producing, processing, and distributing information, as well as the idea that every industry is using available information and information technology to reorganize and make themselves more productive. For the purpose of developing NAICS, it is the transformation of information into a commodity that is produced and distributed by a number of growing industries that is at issue. The Information sector groups three types of establishments: (1) those engaged in producing and distributing information and cultural products; (2) those that provide the means to transmit or distribute these products as well as data or communications; and (3) those that process data. Cultural products are those that directly express attitudes, opinions, ideas, values, and artistic creativity; provide entertainment; or offer information and analysis concerning the past and present. Included in this definition are popular, mass-produced products as well as cultural products that normally have a more limited audience, such as poetry books, literary magazines, or classical records. The unique characteristics of information and cultural products, and of the processes involved in their production and distribution, distinguish the Information sector from the goods-producing and service-producing sectors. Some of these characteristics are: State and Metropolitan Area Data Book: 2006

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1. Unlike traditional goods, an ‘‘information or cultural product,’’ such as a newspaper online or television program, does not necessarily have tangible qualities, nor is it necessarily associated with a particular form. A movie can be shown at a movie theater, on a television broadcast, through video-on-demand, or rented at a local video store. A sound recording can be aired on radio, embedded in multimedia products, or sold at a record store. 2. Unlike traditional services, the delivery of these products does not require direct contact between the supplier and the consumer. 3. The value of these products to the consumer lies in their informational, educational, cultural, or entertainment content, not in the format in which they are distributed. Most of these products are protected from unlawful reproduction by copyright laws. 4. The intangible property aspect of information and cultural products makes the processes involved in their production and distribution very different from goods and services. Only those possessing the rights to these works are authorized to reproduce, alter, improve, and distribute them. Acquiring and using these rights often involves significant costs. In addition, technology is revolutionizing the distribution of these products. It is possible to distribute them in a physical form, via broadcast, or online. 5. Distributors of information and cultural products can easily add value to the products they distribute. For instance, broadcasters add advertising not contained in the original product. This capacity means that unlike traditional distributors, they derive revenue not from sale of the distributed product to the final consumer, but from those who pay for the privilege of adding information to the original product. Similarly, a directory and mailing list publisher can acquire the rights to thousands of previously published newspaper and periodical articles and add new value by providing search and software and organizing the information in a way that facilitates research and retrieval. These products often command a much higher price than the original information. The distribution modes for information commodities may either eliminate the necessity for traditional manufacture, or reverse the conventional order of manufacturedistribute: A newspaper distributed online, for example, can be printed locally or by the final consumer. Similarly, it is anticipated that packaged software, which today is mainly bought through the traditional retail channels, will soon be available mainly online. The NAICS Information sector is designed to make such economic changes transparent as they occur, or to facilitate designing surveys that will monitor the new phenomena and provide data to analyze the changes. State and Metropolitan Area Data Book: 2006

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Many of the industries in the NAICS Information sector are engaged in producing products protected by copyright law, or in distributing them (other than distribution by traditional wholesale and retail methods). Examples are traditional publishing industries, software and directory and mailing list publishing industries, and film and sound industries. Broadcasting and telecommunications industries and information providers and processors are also included in the Information sector, because their technologies are so closely linked to other industries in the Information sector. The Finance and Insurance sector (NAICS 52) comprises establishments primarily engaged in financial transactions (transactions involving the creation, liquidation, or change in ownership of financial assets) and/or in facilitating financial transactions. Three principal types of activities are identified: 1. Raising funds by taking deposits and/or issuing securities and, in the process, incurring liabilities. Establishments engaged in this activity use raised funds to acquire financial assets by making loans and/or purchasing securities. Putting themselves at risk, they channel funds from lenders to borrowers and transform or repackage the funds with respect to maturity, scale and risk. This activity is known as financial intermediation. 2. Pooling of risk by underwriting insurance and annuities. Establishments engaged in this activity collect fees, insurance premiums, or annuity considerations; build up reserves; invest those reserves; and make contractual payments. Fees are based on the expected incidence of the insured risk and the expected return on investment. 3. Providing specialized services facilitating or supporting financial intermediation, insurance, and employee benefit programs. In addition, monetary authorities charged with monetary control are included in this sector. The subsectors, industry groups, and industries within the NAICS Finance and Insurance sector are defined on the basis of their unique production processes. As with all industries, the production processes are distinguished by their use of specialized human resources and specialized physical capital. In addition, the way in which these establishments acquire and allocate financial capital, their source of funds, and the use of those funds provides a third basis for distinguishing characteristics of the production process. For instance, the production process in raising funds through deposit-taking is different from the process of raising funds in bond or money markets. The process of making loans to individuals also requires different production processes than does the creation of investment pools or the underwriting of securities. A–11



Most of the Finance and Insurance subsectors contain one or more industry groups of (1) intermediaries with similar patterns of raising and using funds and (2) establishments engaged in activities that facilitate, or are otherwise related to, that type of financial or insurance intermediation. Industries within this sector are defined in terms of activities for which a production process can be specified, and many of these activities are not exclusive to a particular type of financial institution. To deal with the varied activities taking place within existing financial institutions, the approach is to split these institutions into components performing specialized services. This requires defining the units engaged in providing those services and developing procedures that allow for their delineation. These units are the equivalents for finance and insurance of the establishments defined for other industries. The output of many financial services, as well as the inputs and the processes by which they are combined, cannot be observed at a single location and can only be defined at a higher level of the organizational structure of the enterprise. Additionally, a number of independent activities that represent separate and distinct production processes may take place at a single location belonging to a multilocation financial firm. Activities are more likely to be homogeneous with respect to production characteristics than are locations, at least in financial services. The classification defines activities broadly enough that it can be used both by those classifying by location and by those employing a more top-down approach to the delineation of the establishment. Establishments engaged in activities that facilitate, or are otherwise related to, the various types of intermediation have been included in individual subsectors, rather than in a separate subsector dedicated to services alone because these services are performed by intermediaries, as well as by specialist establishments, and the extent to which the activity of the intermediaries can be separately identified is not clear. The Finance and Insurance sector has been defined to encompass establishments primarily engaged in financial transactions; that is, transactions involving the creation, liquidation, or change in ownership of financial assets or in facilitating financial transactions. Financial industries are extensive users of electronic means for facilitating the verification of financial balances, authorizing transactions, transferring funds to and from transactors’ accounts, notifying banks (or credit card issuers) of the individual transactions, and providing daily summaries. Since these transaction processing activities are integral to the production of finance and insurance services, establishments that principally provide a financial transaction processing service are classified to this sector, rather than to the data processing industry in the Information sector. Legal entities that hold portfolios of assets on behalf of others are significant, and data on them are required for a A–12



variety of purposes. Thus for NAICS, these funds, trusts, and other financial vehicles are the fifth subsector of the Finance and Insurance sector. These entities earn interest, dividends, and other property income, but have little or no employment and no revenue from the sale of services. Separate establishments and employees devoted to the management of funds are classified in Industry Group 5239, Other Financial Investment Activities. The Real Estate and Rental and Leasing sector (NAICS 53) comprises establishments primarily engaged in renting, leasing, or otherwise allowing the use of tangible or intangible assets, and establishments providing related services. The major portion of this sector comprises establishments that rent, lease, or otherwise allow the use of their own assets by others. The assets may be tangible, as is the case of real estate and equipment, or intangible, as is the case with patents and trademarks. This sector also includes establishments primarily engaged in managing real estate for others, selling, renting and/or buying real estate for others, and appraising real estate. These activities are closely related to this sector’s main activity, and it was felt that, from a production basis, they would best be included here. In addition, a substantial proportion of property management is selfperformed by lessors. The main components of this sector are the real estate lessors industries; equipment lessors industries (including motor vehicles, computers, and consumer goods); and lessors of nonfinancial intangible assets (except copyrighted works). Excluded from this sector are real estate investment trusts (REITS) and establishments primarily engaged in renting or leasing equipment with operators. REITS are classified in Subsector 525, Funds, Trusts, and Other Financial Vehicles, because they are considered investment vehicles. Establishments renting or leasing equipment with operators are classified in various subsectors of NAICS depending on the nature of the services provided (e.g., transportation, construction, agriculture). These activities are excluded from this sector because the client is paying for the expertise and knowledge of the equipment operator in addition to the rental of the equipment. In many cases, such as the rental of heavy construction equipment, the operator is essential to operate the equipment. The Professional, Scientific, and Technical Services sector (NAICS 54) comprises establishments that specialize in performing professional, scientific, and technical activities for others. These activities require a high degree of expertise and training. The establishments in this sector specialize according to expertise and provide these services to clients in a variety of industries and, in some cases, to households. Activities performed include: legal advice and representation; accounting, bookkeeping, and State and Metropolitan Area Data Book: 2006

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payroll services; architectural, engineering, and specialized design services; computer services; consulting services; research services; advertising services; photographic services; translation and interpretation services; veterinary services; and other professional, scientific, and technical services. This sector excludes establishments primarily engaged in providing a range of day-to-day office administrative services, such as financial planning, billing and record keeping, personnel, and physical distribution and logistics. These establishments are classified in Sector 56, Administrative and Support and Waste Management and Remediation Services. The Management of Companies and Enterprises sector (NAICS 55) comprises (1) establishments that hold the securities of (or other equity interests in) companies and enterprises for the purpose of owning a controlling interest or influencing management decisions or (2) establishments (except government establishments) that administer, oversee, and manage establishments of the company or enterprise and that normally undertake the strategic or organizational planning and decision-making role of the company or enterprise. Establishments that administer, oversee, and manage may hold the securities of the company or enterprise. Establishments in this sector perform essential activities that are often undertaken, in-house, by establishments in many sectors of the economy. By consolidating the performance of these activities of the enterprise at one establishment, economies of scale are achieved. Government establishments primarily engaged in administering, overseeing, and managing governmental programs are classified in Sector 92, Public Administration. Establishments primarily engaged in providing a range of dayto-day office administrative services, such as financial planning, billing and record keeping, personnel, and physical distribution and logistics, are classified in Industry 56111, Office Administrative Services. The Administrative and Support and Waste Management and Remediation Services sector (NAICS 56) comprises establishments performing routine support activities for the day-to-day operations of other organizations. These essential activities are often undertaken in-house by establishments in many sectors of the economy. The establishments in this sector specialize in one or more of these support activities and provide these services to clients in a variety of industries and, in some cases, to households. Activities performed include: office administration, hiring and placing of personnel, document preparation and similar clerical services, solicitation, collection, security and surveillance services, cleaning, and waste disposal services. The administrative and management activities performed by establishments in this sector are typically on a contract or fee basis. These activities may also be performed by State and Metropolitan Area Data Book: 2006

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establishments that are part of the company or enterprise. However, establishments involved in administering, overseeing, and managing other establishments of the company or enterprise are classified in Sector 55, Management of Companies and Enterprises. These establishments normally undertake the strategic and organizational planning and decision-making role of the company or enterprise. Government establishments engaged in administering, overseeing, and managing governmental programs are classified in Sector 92, Public Administration. The Educational Services sector (NAICS 61) comprises establishments that provide instruction and training in a wide variety of subjects. This instruction and training is provided by specialized establishments, such as schools, colleges, universities, and training centers. These establishments may be privately owned and operated for profit or not for profit, or they may be publicly owned and operated. They may also offer food and accommodation services to their students. Educational services are usually delivered by teachers or instructors who explain, tell, demonstrate, supervise, and direct learning. Instruction is imparted in diverse settings, such as educational institutions, the workplace, or the home through correspondence, television, or other means. It can be adapted to the particular needs of the students; for example, sign language can replace verbal language for teaching students with hearing impairments. All industries in the sector share this commonality of process, namely, labor inputs of instructors with the requisite subject matter expertise and teaching ability. The Health Care and Social Assistance sector (NAICS 62) comprises establishments providing health care and social assistance for individuals. The sector includes both health care and social assistance because it is sometimes difficult to distinguish between the boundaries of these two activities. The industries in this sector are arranged on a continuum starting with those establishments providing medical care exclusively, continuing with those providing health care and social assistance, and finally finishing with those providing only social assistance. The services provided by establishments in this sector are delivered by trained professionals. All industries in the sector share this commonality of process, namely, labor inputs of health practitioners or social workers with the requisite expertise. Many of the industries in the sector are defined based on the educational degree held by the practitioners included in the industry. Excluded from this sector are aerobic classes in Subsector 713, Amusement, Gambling and Recreation Industries, and nonmedical diet and weight-reducing centers in Subsector 812, Personal and Laundry Services. Although these can be viewed as health services, these services are not typically delivered by health practitioners. Industries in the Ambulatory Health Care Services subsector (NAICS 621) provide health care services directly or A–13



indirectly to ambulatory patients and do not usually provide inpatient services. Health practitioners in this subsector provide outpatient services, with the facilities and equipment not usually being the most significant part of the production process. Industries in the Hospitals subsector (NAICS 622) provide medical, diagnostic, and treatment services that include physician, nursing, and other health services to inpatients and the specialized accommodation services required by inpatients. Hospitals may also provide outpatient services as a secondary activity. Establishments in the Hospitals subsector provide inpatient health services, many of which can only be provided using the specialized facilities and equipment that form a significant and integral part of the production process. Industries in the Nursing and Residential Care Facilities subsector (NAICS 623) provide residential care combined with either nursing, supervisory, or other types of care as required by the residents. In this subsector, the facilities are a significant part of the production process, and the care provided is a mix of health and social services with the health services being largely some level of nursing services. The Arts, Entertainment, and Recreation sector (NAICS 71) includes a wide range of establishments that operate facilities or provide services to meet varied cultural, entertainment, and recreational interests of their patrons. This sector comprises: (1) establishments that are involved in producing, promoting, or participating in live performances, events, or exhibits intended for public viewing; (2) establishments that preserve and exhibit objects and sites of historical, cultural, or educational interest; and (3) establishments that operate facilities or provide services that enable patrons to participate in recreational activities or pursue amusement, hobby, and leisure-time interests. Some establishments that provide cultural, entertainment, or recreational facilities and services are classified in other sectors. Excluded from this sector are: (1) establishments that provide both accommodations and recreational facilities, such as hunting and fishing camps and resort and casino hotels, which are classified in Subsector 721, Accommodation; (2) restaurants and night clubs that provide live entertainment in addition to the sale of food and beverages, which are classified in Subsector 722, Food Services and Drinking Places; (3) motion picture theaters, libraries and archives, and publishers of newspapers, magazines, books, periodicals, and computer software, which are classified in Sector 51, Information; and (4) establishments using transportation equipment to provide recreational and entertainment services, such as those operating sightseeing buses, dinner cruises, or helicopter rides, which are classified in Subsector 487, Scenic and Sightseeing Transportation. The Accommodation and Food Services sector (NAICS 72) comprises establishments providing customers with A–14



lodging and/or preparing meals, snacks, and beverages for immediate consumption. The sector includes both accommodation and food services establishments because the two activities are often combined at the same establishment. Excluded from this sector are civic and social organizations; amusement and recreation parks; theaters; and other recreation or entertainment facilities providing food and beverage services. The Other Services (except Public Administration) sector (NAICS 81) comprises establishments engaged in providing services not specifically provided for elsewhere in the classification system. Establishments in this sector are primarily engaged in activities such as equipment and machinery repairing, promoting or administering religious activities, grantmaking, advocacy, and providing drycleaning and laundry services, personal care services, death care services, pet care services, photofinishing services, temporary parking services, and dating services. Private households that engage in employing workers on or about the premises in activities primarily concerned with the operation of the household are included in this sector. Excluded from this sector are establishments primarily engaged in retailing new equipment and also performing repairs and general maintenance on equipment. These establishments are classified in Sector 44–45, Retail Trade. The Public Administration sector (NAICS 92) consists of establishments of federal, state, and local government agencies that administer, oversee, and manage public programs and have executive, legislative, or judicial authority over other institutions within a given area. These agencies also set policy, create laws, adjudicate civil and criminal legal cases, and provide for public safety and for national defense. In general, government establishments in the Public Administration sector oversee governmental programs and activities that are not performed by private establishments. Establishments in this sector typically are engaged in the organization and financing of the production of public goods and services, most of which are provided for free or at prices that are not economically significant. Government establishments also engage in a wide range of productive activities covering not only public goods and services but also individual goods and services similar to those produced in sectors typically identified with private-sector establishments. In general, ownership is not a criterion for classification in NAICS. Therefore, government establishments engaged in the production of private sector-like goods and services should be classified in the same industry as private sector establishments engaged in similar activities. As a practical matter, it is difficult to identify separate establishment detail for many government agencies. To State and Metropolitan Area Data Book: 2006

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the extent that separate establishment records are available, the administration of governmental programs is classified in Sector 92, Public Administration, while the operation of that same governmental program is classified elsewhere in NAICS based on the activities performed. For example, the governmental administrative authority for an airport is classified in Industry 92612, Regulation and Administration of Transportation Programs, while operating the airport is classified in Industry 48811, Airport Operations. When separate records are not available to distinguish between the administration of a governmental program and the operation of it, the establishment is classified in Sector 92, Public Administration. Examples of government-provided goods and services that are classified in sectors other than Public Administration include: schools, classified in Sector 61, Educational Services; hospitals, classified in Subsector 622, Hospitals; establishments operating transportation facilities, classified in Sector 48–49, Transportation and Warehousing; the operation of utilities, classified in Sector 22, Utilities; and the Government Printing Office, classified in Subsector 323, Printing and Related Support Activities. Census of Governments A census of governments is taken at 5-year intervals as required by law under Title 13, United States Code, Section 161. The 2002 census, similar to those taken since 1957, covers three major subject fields—government organization, public employment, and government finances. The concept of local governments as defined by the Census Bureau covers three general-purpose governments (county, municipal, and township) and two limitedpurpose governments (school district and special district). For information on the history, methodology, and concepts for the census of governments, see the Governments Finance and Employment Classification Manual found at . The term ‘‘full-time equivalent employment’’ refers to a computed statistic representing the number of full-time employees that could have been employed if the reported number of hours worked by part-time employees had been worked by full-time employees. This statistic is calculated separately for each function of a government by dividing the ‘‘part-time hours paid’’ by the standard number of hours for full-time employees in the particular government and then adding the resulting quotient to the number of full-time employees. For a brief discussion of the census of governments, see descriptive text under Local government employment. General revenue covers all government revenue except liquor stores revenue, insurance trust revenue, and utility revenue. Taxes are compulsory contributions exacted by a government for public purposes except employee and State and Metropolitan Area Data Book: 2006

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employer assessments for retirement and social insurance purposes, which are classified as insurance trust revenue. All tax revenue is classified as general revenue and comprises amounts received (including interest and penalties but excluding protested amounts and refunds) from all taxes imposed by a government. Local government tax revenue excludes any amounts from shares of state imposed and collected taxes, which are classified as intergovernmental revenue. Property taxes are taxes conditioned on ownership of property and measured by its value. This category includes general property taxes related to property as a whole, real and personal, tangible or intangible, whether taxed at a single rate or at classified rates, and taxes on selected types of property, such as motor vehicles or on certain or all intangibles. Direct expenditure includes payments to employees, suppliers, contractors, beneficiaries, and other final recipients of government payment; i.e., all expenditure other than intergovernmental expenditure, while general expenditure covers all government expenditure other than the specifically enumerated kinds of expenditure classified as utility expenditure, liquor stores expenditure, and employee retirement or other insurance trust expenditure. TABLE A — STATES Table A presents 87 tables with 1,539 items of data for each state, the United States as a whole, and the District of Columbia. These tables are numbered A-1 through A-87. A number of the statistics in tables A-1 through A-87 are also presented for metropolitan areas in tables B-1 through B-11, for metropolitan area component counties in tables C-1 through C-4, and for micropolitan areas in table D-1. Table A-1. Area and Population Area, total and rank, 2000; Population, 2005, 2004, 2000, and 1990; Rank and per square mile of land area, 2005, 2000, and 1990; Population change, net change, net international migration, net internal migration, 2000–2005; Percent change, 2000–2005 and 1990–2000. Sources: Area—U.S. Census Bureau, 2000 Census of Population and Housing, Summary Population and Housing Characteristics, Series PHC-1; and unpublished data on American FactFinder; Population—U.S. Census Bureau, 1990 Census of Population and Housing, Population and Housing Unit Counts (CPH-2); ‘‘Time Series of Intercensal State Population Estimates: April 1, 1990 to April 1, 2000’’ (CO-EST2001-12-00), published 11 April 2002; Internet site ; and ‘‘Annual Estimates of the Population for the United A–15



States and States, and for Puerto Rico: April 1, 2000 to July 1, 2005’’ (NST-EST2005-01), published 22 December 2005; Internet site ; Rank—‘‘Table 2: Cumulative Estimates of Population Change for the United States and States, and for Puerto Rico and State Rankings: April 1, 2000 to July 1, 2005’’ (NST-EST2005-02), published 22 December 2005; Internet site ; Population change—U.S. Census Bureau, ‘‘Table 4: Cumulative Estimates of the Components of Population Change for the United States and States: April 1, 2000 to July 1, 2005’’ (NST-EST2005-04), published 22 December 2005; Internet site . Land area. The Census Bureau provides land area for the decennial censuses. Area was calculated from the specific set of boundaries recorded for the entity (in this case, states and counties) in the Census Bureau’s geographic database. Land area measurements may disagree with the information displayed on census maps and in the TIGER file because, for area measurement purposes, features identified as ‘‘intermittent water’’ and ‘‘glacier’’ are reported as land area. TIGER is an acronym for the new digital (computer-readable) geographic database that automates the mapping and related geographic activities required to support the Census Bureau’s census and survey programs; TIGER stands for Topologically Integrated Geographic Encoding and Referencing system. The accuracy of any area measurement figure is limited by the inaccuracy inherent in (1) the location and shape of the various boundary features in the database, and (2) rounding affecting the last digit in all operations that compute and/or sum the area measurement. Identification of land and inland, coastal, and territorial is for statistical purposes and does not necessarily reflect legal definitions thereof. Population data for 2005 and revised population data for 2000 through 2004 were released in late December 2005 for states. The population figures from the previous release were used to calculate rates or describe various population characteristics in Tables A-2 through A-87. The 2000 and 1990 decennial population counts are from the short form questionnaires that were asked of all people and housing units and are often referred to as 100percent questions because they are asked of the entire population. For more information on the decennial census, see General Notes. Persons enumerated in the census were counted as inhabitants of their usual place of residence, which generally means the place where a person lives and sleeps most of the time. This place is not necessarily the same as the legal residence, voting residence, or domicile. In the vast A–16



majority of cases, however, the use of these different bases of classification would produce substantially the same statistics, although appreciable differences may exist for a few areas. The implementation of this usual-residence practice has resulted in the establishment of residence rules for certain categories of persons whose usual place of residence is not immediately apparent (e.g., college students were counted at their college residence). As in the above example, persons were not always counted as residents of the place where they happened to be staying on census day. However, persons without a usual place of residence were counted where they were enumerated. Rank numbers are assigned on the basis of area size for the rank of area and by population size for rank of population, with each state placed in descending order, largest to smallest. Where ties—two or more states with identical areas or populations—occur, the same rank is assigned to each of the tied states. In such cases, the following rank number(s) is omitted so that the lowest rank is usually equal to the number of states ranked. Persons per square mile, also known as population density, is the average number of inhabitants per square mile of land area. These figures are derived by dividing the total number of residents by the number of square miles of land area in the specified geographic area. To determine population per square kilometer, multiply the population per square mile by .3861. Net change represents the increase or decrease between the two years shown. Refer to the General Notes on population estimates for explanations of international migration and internal migration. Percent change represents the increase or decrease between the two years shown as a percentage of the beginning population. Table A-2. Population by Residence Metropolitan and micropolitan area population, 2004, 2000, and 1990; Percent of total, 2004; Percent change, 2000–2004; Nonmetropolitan area population, 2004, 2000, and 1990; Percent change, 2000–2004; Urban, 2000 and 1990; Percent of total population, 2000 and 1990. Sources: Metropolitan, micropolitan, and nonmetropolitan area population—U.S. Census Bureau, ‘‘Annual Estimates of the Population for Counties: April 1, 2000 to July 1, 2004’’ (CO-EST2004-01), published 14 April 2005; Internet site ; and 2000 Census of Population and State and Metropolitan Area Data Book: 2006

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Housing, Population and Housing Unit Counts PHC-1; Urban population—U.S. Census Bureau, 2000 Census of Population and Housing, Population and Housing Unit Counts PHC-3, see Internet site . Data for metropolitan and micropolitan areas refer to 361 metropolitan statistical areas and 575 micropolitan statistical areas defined by the U.S. Office of Management and Budget as of November 2004; nonmetropolitan is the area outside metropolitan and micropolitan areas. For more information on metropolitan and micropolitan statistical areas, see Geographic Concepts and Codes. The Census Bureau classifies as urban all territory, population, and housing units located within urbanized areas (UAs) and urban clusters (UCs). It delineates UA and UC boundaries to encompass densely settled territory, which generally consists of (1) a cluster of one or more block groups or census blocks, each of which has a population density of at least 1,000 people per square mile at the time, (2) surrounding block groups and census blocks, each of which has a population density of at least 500 people per square mile at the time, or (3) less densely settled blocks that form enclaves or indentations, or are used to connect discontiguous areas with qualifying densities. All territory located outside of UAs and UCs are classified as rural. Geographic entities such as metropolitan areas and counties often contain both urban and rural territory. Table A-3. Population Projections Population projections, 2005, 2006, 2007, 2008, 2009, 2010, 2015, 2020, 2025, and 2030; Rank, 2010 and 2020; Percent change, 2000–2010, 2010–2020, and 2020–2030; Males per 100 females, 2010; Population by age, Under 18 years, 2005 and 2010; 18 to 44 years, 2005 and 2010; 45 to 64 years, 2005 and 2010; 65 to 74 years, 2005 and 2010; 75 years and over, 2005 and 2010; Percent of population in 2010, under 18 years and 65 years and over. Source: U.S. Census Bureau, ‘‘State Interim Population Projections by Age and Sex: 2004–2030,’’ published 21 April 2005. See Internet site . The population projections are the results of using the cohort-component method. This method requires separate assumptions for each of the components of population change: births, deaths, internal migration, and international migration. Each of these components was projected separately from 2000 to 2030 based on recent fertility, mortality, and migration trends. Projected fertility and State and Metropolitan Area Data Book: 2006

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mortality rates were based on birth and death statistics by state from the National Center for Health Statistics (NCHS). Projected internal migration was based on data on state migration patterns derived from the Internal Revenue Service (IRS) and Census 2000 data. Projected international migration was based on the estimates of net international migration by state derived from the Population Estimates Program and data on the foreign-born population enumerated in Census 2000. Table A-4. Population by Age Group and Sex Population by age, 2004, total, under 5, 5 to 17, 18 to 24, 25 to 34, 35 to 44, 45 to 54, 55 to 64, 65 to 74, 75 to 84, and 85 years and over; Population under 18 years, 2004, 2000, and 1990; Population 65 years and over, 2004, 2000, and 1990; Percent of population by age, Under 18 years, 2004, 2000, and 1990; 65 years and over, 2004, 2000, and 1990; Males per 100 females, 2004. Source: U.S. Census Bureau, ‘‘State Single Year of Age and Sex Population Estimates: April 1, 2000 to July 1, 2004— RESIDENT’’; see Internet site ; and ‘‘Age and Sex for States and for Puerto Rico: April 1, 2000 to July 1, 2004’’; see Internet site ; and ‘‘Table ST-99-9 Population Estimates for the U.S., Regions, and States by Selected Age Groups and Sex: Annual Time Series, July 1, 1990,’’ published 9 March 2000; see Internet site . Refer to the General Notes on population estimates for explanations of population by age and sex. Table A-5. Population by Race and Hispanic Origin All races, 2004 and 2000; White alone, 2004 and 2000; Black or African American alone, 2004 and 2000; American Indian, Alaska Native alone, 2004 and 2000; Asian alone, 2004 and 2000; Native Hawaiian and Other Pacific Islander alone, 2004 and 2000; Two or more races, 2004 and 2000; Hispanic or Latino origin, 2004 and 2000; Non-Hispanic White alone, 2004 and 2000; Percent of total, 2004, White alone; Black or African American alone; American Indian, Alaska Native alone; Asian alone; Native Hawaiian, Other Pacific Islander alone; two or more races; Hispanic or Latino origin; and NonHispanic White alone; Percent change, 2000–2004, White alone; Black or African American alone; American Indian, Alaska Native alone; Asian alone; Native Hawaiian, Other Pacific Islander alone; Two or more races; Hispanic or Latino origin; and Non-Hispanic White alone. A–17



Source: U.S. Census Bureau, ‘‘State Population Estimates with Sex, 6 Race Groups (5 Race Alone Groups and One Group with Two or More Race Groups) and Hispanic Origin: April 1, 2000 to July 1, 2004’’ (SC-EST2004-6RACE), published 11 August 2005; ; ‘‘Table 4: Annual Estimates of the Population by Race Alone and Hispanic or Latino Origin for the United States and States: July 1, 2004’’ (SC-EST200404), published 11 August 2005; . Race. The racial classifications used by the Census Bureau adhere to the October 30, 1997, Federal Register Notice entitled ‘‘Revisions to the Standards for the Classification of Federal Data on Race and Ethnicity’’ issued by the Office of Management and Budget (OMB). These standards govern the categories used to collect and present federal data on race and ethnicity. The OMB requires federal agencies to use a minimum of five race categories: White, Black or African American, American Indian and Alaska Native, Asian, and Native Hawaiian and Other Pacific Islander. For respondents unable to identify with any of these five race categories, the OMB approved including a sixth category, ‘‘Some other race,’’ on the Census 2000 questionnaire. The question on race for Census 2000 was different from the one for the 1990 census in several ways. Most significantly, respondents were given the option of selecting one or more race categories to indicate their racial identities. Because of these changes, the Census 2000 data on race are not directly comparable with data from the 1990 census or earlier censuses. Caution must be used when interpreting changes in the racial composition of the U.S. population over time. Population estimates by race and Hispanic origin are calculated using a distributive cohort component method. Previously developed resident state population estimates by age and sex and residential national population estimates by age, sex, race, and Hispanic origin are used as a base. Estimated post-censal changes in the corresponding populations are applied with a cohort component model. These distributions are applied to the original state agesex and national characteristics estimates. White refers to people having origins in any of the original peoples of Europe, the Middle East, or North Africa. It includes people who indicated their race or races as White or wrote in entries such as Irish, German, Italian, Lebanese, Near Easterner, Arab, or Polish. Black or African American refers to people having origins in any of the Black racial groups of Africa. It includes people who indicated their race or races as Black, African American, or Negro or wrote in entries such as African American, Afro American, Nigerian, or Haitian. American Indian and Alaska Native refers to people having origins in any of the original peoples of North and South America (including Central America) and who maintain tribal affiliation or community attachment. It includes A–18



people who indicated their race or races by marking this category or writing in their principal or enrolled tribe, such as Rosebud Sioux, Chippewa, or Navajo. Asian refers to people having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent. It includes people who indicated their race or races as Asian Indian, Chinese, Filipino, Korean, Japanese, Vietnamese, or Other Asian or wrote in entries such as Burmese, Hmong, Pakistani, or Thai. Native Hawaiian and Other Pacific Islander refers to people having origins in any of the original peoples of Hawaii, Guam, Samoa, or other Pacific Islands. It includes people who indicated their race or races as Native Hawaiian, Guamanian or Chamorro, Samoan, or Other Pacific Islander or wrote in entries such as Tahitian, Mariana Islander, or Chuukese. Two or more races. People may have chosen to provide two or more races either by checking two or more race response check boxes, by providing multiple write-in responses, or by some combination of check boxes and write-in responses. The race response categories shown on the questionnaire were collapsed into the five minimum race groups by the OMB. Hispanic or Latino. People who identify with the terms ‘‘Hispanic’’ or ‘‘Latino’’ are those who classify themselves in one of the specific Hispanic or Latino categories listed on the questionnaire, such as Mexican, Puerto Rican, or Cuban, as well as those who indicate that they are other Spanish, Hispanic, or Latino. Origin can be viewed as the heritage, nationality group, lineage, or country of birth of the person or the person’s parents or ancestors before their arrival in the United States. People who identify their origin as Spanish, Hispanic, or Latino may be any race. The concept of race, as used by the Census Bureau, reflects self-identification by people according to the race or races with which they most closely identify. These categories are sociopolitical constructs and should not be interpreted as being scientific or anthropological in nature. Furthermore, the race categories include both racial and national-origin groups. Traditional and current data collection and classification treat race and Hispanic origin as two separate and distinct concepts in accordance with guidelines from the OMB. Race and Hispanic origin are two separate concepts in the federal statistical system. People who are Hispanic may be any race, and people in each race group may be either Hispanic or Non-Hispanic. Also, each person has two attributes, their race (or races) and whether or not they are Hispanic. The overlap of race and Hispanic origin is the main comparability issue. For example, Black Hispanics (Hispanic Blacks) are included in both the number of Blacks and in the number of Hispanics. For further information, see Census Bureau Web page . State and Metropolitan Area Data Book: 2006

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Table A-6. Households Total, 2003 and 2000; Percent of households, 2003, Family households, Total, Households total; With own children under 18 years; Married-couple families, Married-couple families, total; With own children under 18 years; Female householder, no husband present, Female householder, no husband present, total; With own children under 18 years; Nonfamily households, Nonfamily households, total; Householder living alone, Householder living alone, total; 65 years and over; Households with one or more persons, Under 18 years; 65 years and over; Persons per household, 2003 and 2000. Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—General Demographics, accessed 24 June 2005. See Internet site . Household. A household includes all of the people who occupy a housing unit. A housing unit may be a house, an apartment, a mobile home or trailer, a group of rooms, or a single room that is occupied as separate living quarters. Separate living quarters are those in which the occupants live separately from any other individuals in the building and that have direct access from outside the building or through a common hall. People not living in households are classified as living in group quarters. Persons per household (or average household size) is a measure obtained by dividing the number of people in households by the total number of households (or householders). Family household (family). A family includes a householder and one or more people living in the same household who are related to the householder by birth, marriage, or adoption. All people in a household who are related to the householder are regarded as members of his or her family. A family household may contain people not related to the householder, but those people are not included as part of the householder’s family in census tabulations. Thus, the number of family households is equal to the number of families, but family households may include more members than do families. A household can contain only one family for purposes of census tabulations. Not all households contain families since a household may comprise a group of unrelated people or one person living alone. Married-couple family is a family in State and Metropolitan Area Data Book: 2006

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which the householder and his or her spouse are enumerated as members of the same household. Female householder, no husband present includes a family with a female who maintains a household with no husband of the householder present. Nonfamily household is a household in which the householder lives alone or with nonrelatives only. Own child category is a never-married child under 18 years old who is a son or daughter of the householder by birth, marriage (a stepchild), or adoption. Table A-7. Marital Status: 2003 Males 15 years and over, Total; Percent, never married; now married, except separated; separated; widowed; and divorced; Females 15 years and over, Total; Percent, never married; now married, except separated; separated; widowed; and divorced. Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Social Characteristics, accessed 24 June 2005. See Internet site . Marital status refers to how people responded when asked if they were now married, widowed, divorced, separated, or never married. Couples who live together (unmarried people, people in common-law marriages) were allowed to report the marital status they considered the most appropriate. Never married includes all people who have never been married, including people whose only marriage(s) was annulled. Now married, except separated includes people whose current marriage has not ended through widowhood, divorce, or separation (regardless of previous marital history). The category also include couples who live together or people in commonlaw marriages if they consider this category the most appropriate. Separated includes people legally separated or otherwise absent from their spouse because of marital discord. This category also includes people who have been deserted or who have parted because they no longer want to live together but who have not obtained a divorce. Widowed includes widows and widowers who have not remarried. Table A-8. Residence One Year Ago, Immigrants, and Language Spoken at Home Residence one year ago, population 1 year and over, 2003, and percent who lived in same house one year ago; Immigrants, 2003, 2002, 2001, and 2000; Leading countries of origin, 2003, Mexico, India, China, Philippines, Vietnam, El Salvador, Cuba, and Bosnia and A–19



Herzegovina; Language spoken at home, 2003, Population 5 years and over; Language other than English, percent, total and Spanish. Sources: Residence and language spoken—U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Social Characteristics, accessed 24 June 2005. See Internet site ; Immigrants—U.S. Department of Homeland Security, Office of Immigration Statistics, 2003 Yearbook of Immigration Statistics, see Internet site . Residence one year ago. People were asked for the city or town, U.S. county, state or foreign country of residence one year ago if reporting that one year ago they lived in a different house from their current residence. This was asked of the population one year and older. Residence one year ago is used in conjunction with location of current residence to determine the extent of residential mobility of the population and the resulting redistribution of the population across the various states, metropolitan areas, and regions of the country. When no information on previous residence was reported for a person, information for other family members, if available, was used to assign a location of residence one year ago. All cases of nonresponse or incomplete response that were not assigned a previous residence based on information from other family members were allocated to the previous residence of another person with similar characteristics who provided complete information. Immigrant refers to an alien admitted to the United States as a lawful permanent resident. The Immigration and Nationality Act (INA) broadly defines an immigrant as any alien in the United States, except one legally admitted under specific nonimmigrant categories. An illegal alien who entered the United States without inspection, for example, would be strictly defined as an immigrant under the INA but is not a permanent resident alien. Lawful permanent residents are legally accorded the privilege of residing permanently in the United States. They may be issued immigrant visas by the Department of State overseas or adjusted to permanent resident status by the Department of Homeland Security in the United States. Immigration statistics are prepared from entry visas and change of immigration status forms. Data are shown by state of intended residence. Language spoken at home. People were asked if they sometimes or always spoke a language other than English at home. Language other than English includes anyone responding yes to this question but does not include the speaking of a language only at school or if speaking is limited to a few expressions or slang. People reporting they did speak another language at home were asked to identify the language spoken, such as Korean, Italian, Spanish, and Vietnamese. A–20



Table A-9. Place of Birth: 2003 Total population; Percent, born in state of residence, born in different state, and foreign born; Foreign born, Total; Percent, Not a citizen; Entered 1990 or later; Born in— Europe, Asia, total, China, India, Korea, Philippines, and Vietnam; Latin America, total and Mexico. Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Social Characteristics, accessed 24 June 2005, see Internet site ; and ‘‘PCT027. Place of Birth for the ForeignBorn Population,’’ see Internet site . Place of birth. People were asked where they were born and were asked to select from two categories: (1) in the United States, (2) outside the United States. Respondents selecting category 1 were then asked to report the name of the state while respondents selecting category 2 were then asked to report the name of the foreign country, or Puerto Rico, Guam, etc. People not reporting a place of birth were assigned the state or country of birth of another family member, or were allocated the response of another individual with similar characteristics. People born outside the United States were asked to report their place of birth according to current international boundaries. Since numerous changes in boundaries of foreign countries have occurred in the last century, some people may have reported their place of birth in terms of boundaries that existed at the time of their birth or emigration, or in accordance with their own national preference. The foreign-born population includes anyone who was not a U.S. citizen at birth. This includes respondents who indicated they were a U.S. citizen by naturalization or not a U.S. citizen. This excludes people born in either the United States, Puerto Rico or a U.S. Island Area such as Guam or the U.S. Virgin Islands, or people born in a foreign country to a U.S. citizen parent(s). Table A-10. Live Births and Birth Rates Total births, 2003, 2000, and 1990; Rate, 2003, 2000, and 1990; Percent with low birth weight, 2003, 2000, and 1990; Percent to teenage mothers, 2003, 2000, and 1990; Percent to unmarried women, 2003, 2000, and 1990. State and Metropolitan Area Data Book: 2006

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Source: U.S. National Center for Health Statistics, Vital Statistics of the United States, annual; National Vital Statistics Report (NVSR), formerly Monthly Vital Statistics Report; see also . Births. Through the National Vital Statistics System, the National Center for Health Statistics (NCHS) collects and publishes data on births in the United States. The Division of Vital Statistics obtains information on births from the registration offices of all states, New York City, and the District of Columbia. In most areas, practically all births are registered. The most recent test of the completeness of birth registration, conducted on a sample of births from 1964 to 1968, showed that 99.3 percent of all births in the United States during that period were registered. Birth statistics are limited to events occurring during the year. The data are by place of residence and exclude events occurring to nonresidents of the United States. Births that occur outside the United States are excluded. Birth rates represent the number of births per 1,000 resident population estimated as of July 1 for 2003 and enumerated as of April 1 for 1990 and 2000 (decennial census years). Table A-11. Births and Birth Rates by Race and Hispanic Origin and Fertility Rate: 2002 Births, All races; White, Non-Hispanic; Black, Non-Hispanic; American Indian; Asian or Pacific Islander; Hispanic; Birth rates, All races; White, total and Non-Hispanic; Black, total and Non-Hispanic; American Indian; Asian or Pacific Islander; Hispanic; Fertility rate. Source: U.S. National Center for Health Statistics, Vital Statistics of the United States, annual; and National Vital Statistics Report (NVSR), formerly Monthly Vital Statistics Report, and unpublished data. See also Internet site . Births by race. Through the National Vital Statistics System, the National Center for Health Statistics (NCHS) collects and publishes data on births in the United States. The Division of Vital Statistics obtains information on births from the registration offices of all states, New York City, and the District of Columbia. Race and Hispanic origin are reported separately on the birth certificate. Beginning with the 1989 data year, NCHS started tabulating its State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



birth data primarily by race of the mother. In 1988 and prior years, births were tabulated by the race of the child, which was determined from the race of the parents as entered on the birth certificate. Fertility rate represents the number of births per 1,000 women age 15–44 years estimated. Table A-12. Deaths and Death Rates Deaths for all races, Number, 2002, 2001, 2000, and 1990; Rate, 2002, 2001, 2000, and 1990; Number of deaths by race, 2002; White; Black, Asian or Pacific Islander; American Indian, Eskimo, or Aleut; Infant deaths, 2002, 2001, 2000, and 1990; Rate, All races, 2002, 2001, 2000, and 1990; White, 2002, 2001, and 2000; Black, 2002, 2001, and 2000. Source: U.S. National Center for Health Statistics, Vital Statistics of the United States, annual; National Vital Statistics Report (NVSR), formerly Monthly Vital Statistics Report; see also . Deaths. Through the National Vital Statistics System, the National Center for Health Statistics (NCHS) collects and publishes data on deaths in the United States. The Division of Vital Statistics obtains information on deaths from the registration offices of all states, New York City, and the District of Columbia. In most areas, practically all deaths are registered. The most recent test of the completeness of birth registration, conducted on a sample of births from 1964 to 1968, showed that 99.3 percent of all births in the United States during that period were registered. No comparable information is available for deaths, but it is generally believed that death registration in the United States is at least as complete as birth registration. Death statistics are limited to events occurring during the year. The data are by place of residence and exclude events occurring to nonresidents of the United States. Deaths that occur outside the United States are excluded. Death rates represent the number of deaths per 1,000 resident population estimated as of July 1 for 2002 and enumerated as of April 1 for 1990 and 2000 (decennial census years). Infant death rates are the most commonly used index for measuring the risk of dying during the first year of life. The rates are calculated by dividing the number of infant deaths in a calendar year by the number of live births registered for the same period and are presented as rates per 1,000 live births. Table A-13. Death Rates by Cause: 2002 Death rates, HIV; Malignant neoplasms; A–21



Diabetes mellitus; Alzheimer’s disease; Diseases of the heart; Cerebrovascular diseases; Pneumonia and influenza; Chronic lower respiratory diseases; Chronic liver diseases and cirrhosis; Accidents and adverse effects, total and motor vehicle; Intentional self-harm (suicide); Assault (homicide); Injury by firearms. Source: U.S. National Center for Health Statistics, National Vital Statistics Report (NVSR), formerly Monthly Vital Statistics Report; see also . Death rates by cause. Mortality statistics by cause of death are compiled in accordance with World Health Organization (WHO) regulations, which specify that member nations classify causes of death according to the current revision of the International Statistical Classification of Diseases and Related Health Problems (ICD). Effective with deaths occurring in 1999, the United States began using the Tenth Revision of this classification. Table A-14. Marriages and Divorces—Number and Rate Marriages, 2004, 2000, and 1990; Rates per 1,000 population, 2004, 2000, and 1990; Divorces, 2004, 2000, and 1990; Rates per 1,000 population, 2004, 2000, and 1990. Source: U.S. National Center for Health Statistics, Vital Statistics of the United States, annual; National Vital Statistics Report (NVSR), formerly Monthly Vital Statistics Report; see also . Marriage and divorce. The compilation of nationwide statistics on marriages and divorces in the United States began in 1887–88, when the National Office of Vital Statistics prepared estimates for the years 1867–86. Although periodic updates took place after 1888, marriage and divorce statistics were not collected and published annually until 1944 by that office. In 1957 and 1958, respectively, the same office established marriage- and divorceregistration areas. Beginning in 1957, the marriageregistration area comprised 30 states, plus Alaska, Hawaii, Puerto Rico, and the Virgin Islands; it currently includes 42 states and the District of Columbia. The divorceregistration area, started in 1958 with 14 states, Alaska, Hawaii, and the Virgin Islands, currently includes a total of 31 states and the Virgin Islands. Total counts of events for registration and nonregistration states are gathered by collecting already summarized data on marriages and divorced reported by state offices of vital statistics and by county offices of registration. A–22



Table A-15. Community Hospitals Number of hospitals, 2003, 2000, and 1990; Beds, 2003, 2000, and 1990; Patients admitted, 2003, 2000, and 1990; Outpatient visits, 2003, 2000, and 1990; Personnel, 2002, 2000, and 1990. Source: Health Forum, An American Hospital Association Company, Chicago, IL, Hospital Statistics, 2005 edition, and prior years (copyright). Community hospitals statistics are compiled by the American Hospital Association (AHA) from surveys of all hospitals in the United States and its outlying areas. AHA surveys include unregistered hospitals, as well as those registered by the AHA. Hospitals were asked to report data for a full year ending September 30. Community hospitals are defined as nonfederal, shortterm (average length of stay less than 30 days) general, or special hospitals, excluding psychiatric and tuberculosis hospitals and hospital units of institutions, whose services and facilities are available to the public. Institutions and services commonly referred to as convalescent and resting homes, nursing homes, infirmaries, old-age homes, and sanatoriums are excluded almost entirely. Data for beds represent the number of beds regularly maintained (set up and staffed for use) for inpatients as of the close of the reporting period. This number excludes newborn bassinets. Personnel figures represent the number of persons on the hospital payroll at the end of the reporting period. Personnel are recorded as full-time equivalents (FTEs), which are calculated by adding the number of full-time personnel to one-half the number of part-time personnel, excluding medical and dental residents, interns, and other trainees. Outpatient visits include visits by patients who are not lodged in the hospital while receiving medical, dental, or other services. Table A-16. Health Care Services, Physicians, and Nurses Health care services, 2002, Establishments, total, ambulatory health care services, hospitals, and nursing and residential care facilities; Employees, total, ambulatory health care services, hospitals, and nursing and residential care facilities; Annual payroll; Physicians, 2003 and 2000; Rate per 100,000 population, 2003 and 2000; Nurses, 2001 and 1992; Rate per 100,000 population, 2001 and 1992. Sources: Health care services—U.S. Census Bureau, County Business Patterns, annual, see Internet site ; Physicians—American Medical Association, Chicago, IL, Physician Characteristics and Distribution in the U.S., State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



annual (copyright); Nurses—U.S. Department of Health and Human Services, Health Resources and Services Administration, unpublished data. An establishment is a single physical location at which business is conducted or services or industrial operations are performed. It is not necessarily identical with a company or enterprise, which may consist of one or more establishments. When two or more activities are carried on at a single location under a single ownership, all activities generally are grouped together as a single establishment. The entire establishment is classified on the basis of its major activity, and all data are included in that classification. Establishment counts represent the number of locations with paid employees any time during the year. Paid employment consists of full- and part-time employees, including salaried officers and executives of corporations, who are on the payroll in the pay period including March 12. Included are employees on paid sick leave, holidays, and vacations; not included are proprietors and partners of unincorporated businesses. Total payroll includes all forms of compensation, such as salaries, wages, reported tips, commissions, bonuses, vacation allowances, sick-leave pay, employee contributions to qualified pension plans, and the value of taxable fringe benefits. For corporations, it includes amounts paid to officers and executives; for unincorporated businesses, it does not include profit or other compensation of proprietors or partners. Payroll is reported before deductions for social security, income tax, insurance, union dues, etc. First-quarter payroll consists of payroll during the Januaryto-March quarter. Health Care Services combines Ambulatory Health Care Services (NAICS 621), Hospitals (NAICS 622), and Nursing and Residential Care Facilities (NAICS 623). Refer to General Notes to see information on these subsectors of the Health Care and Social Assistance industry defined using the North American Industry Classification System (NAICS). Table A-17. Persons With and Without Health Insurance Coverage Persons, Total persons covered, 2003, 2000, and 1990; Number not covered, 2003, 2000, and 1990; Percent of persons not covered, 2003, 2000, and 1990; Children, Number not covered, 2003, 2000, and 1990; Percent of children not covered, 2003, 2000, and 1990. Source: U.S. Census Bureau, Current Population Reports, annual, and unpublished data. Health insurance coverage. The Current Population Survey (CPS) asks about health insurance coverage in the previous calendar year. The questionnaire asks separate questions about the major types of health insurance, and State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



people who answer ‘‘no’’ to each of these questions are then asked to verify that they were, in fact, not covered by any type of health insurance. Health insurance coverage is broadly defined as private or government coverage. Private health insurance is coverage by a plan provided through an employer or union or purchased by an individual from a private company. Government health insurance includes the federal programs Medicare, Medicaid, and military health care; the State Children’s Health Insurance Program (SCHIP); and individual state health plans. People are considered insured if they were covered by any type of health insurance for part or all of the previous year, and everyone else is considered uninsured. Table A-18. Health Conditions and Chronic Disease-Related Characteristics and Diabetes High blood pressure, 2001 and 1991; High blood cholesterol, 2001 and 1991; Cigarette smoking, 2003 and 1991; Heavy drinking, 2001 and 1991; Above healthy weight, 2001 and 1991; Obesity, 2001 and 1991; Diagnosed diabetes, 2001 and 1991; No leisure time physical activity in the past month, 2001 and 1991. Source: U.S. Centers for Disease Control and Prevention, Atlanta, GA, Morbidity and Mortality Weekly Report, Vol. 53, No. 44, November 12, 2004; Vol. 52, No. 53, January 9, 2004; and Supplemental Summaries Vol. 52, No. SS-8, August 22, 2003; see Internet site . Health conditions. The Centers for Disease Control and Prevention’s Behavioral Risk Factor Surveillance System (BRFSS) collects prevalence data on risk behaviors and preventive health practices that affect health status. Data are collected monthly by state health departments through telephone surveys and provide health departments, public health officials, and policy makers with necessary behavioral information. When combined with mortality and morbidity statistics, these data enable public health officials to establish policies and priorities and to initiate and assess health promotion strategies. Topics of the surveys include factors such as blood pressure, cholesterol, cigarette smoking, drinking, weight, diabetes, and physical activity. Table A-19. State Public Health, Children Immunized, and STDs and AIDS State direct public health expenditures, 2003 and 2000; Per capita, 2003 and 2000; Percent of total state health, 2003 and 2000; Percent of children age 19–35 months who were immunized, 2003–2004, 2001–2002, and 2000–2001; Percent of adults age 65 years and over who received influenza vaccine, 2003, 2002, and 2001; A–23



AIDS cases reported, 2003, 2002, and 2000; Rate, 2003, 2002, and 2000; STD cases, 2003, total, chlamydia, gonorrhea, and syphilis. Sources: State public health expenditures—Milbank Memorial Fund, the National Association of State Budget Officers, and the Reforming States Group, 2002–2003 State Health Care Expenditure Report (copyright) and 2000–2001 State Health Care Expenditure Report (copyright); Children immunized—U.S. Centers for Disease Control and Prevention, Atlanta, GA, National Immunization Survey, accessed 4 March 2005, see ; Adults who received vaccine—U.S. Centers for Disease Control and Prevention, Atlanta, GA, Morbidity and Mortality Weekly Report, Vol. 53, No. 43, November 5, 2004; Vol. 52, No. 41, October 17, 2003; Vol. 51, No. 45, November 15, 2002, see ; AIDS—U.S. Centers for Disease Control and Prevention, Atlanta, GA, HIV/AIDS Surveillance Report, annual, see ; STDs—U.S. Centers for Disease Control and Prevention, Sexually Transmitted Disease Surveillance, annual, see . Direct public health care includes local health clinics, Ryan White AIDS Grant expenditures, and Indian health. Expenditures may include funds spent on pharmaceutical assistance for the elderly; childhood immunization; chronic disease hospitals and programs; hearing aid assistance; adult day care for persons with Alzheimer’s disease; health grants; services for medically handicapped children; the Women, Infant, and Children (WIC) program; pregnancy outreach and counseling; chronic renal disease treatment programs; AIDS testing; breast and cervical cancer screening; tuberculosis programs; emergency health services; adult genetics programs; and phenylketonuria (PKU) testing. Children immunized. The National Immunization Survey (NIS) collects data through telephone surveys followed by mail surveys. The survey covers immunization of U.S. preschool children ages 19 to 35 months old. The data shown in this publication refer to the 4:3:1:3:3 vaccine series and refers to four or more doses of diphtheria and tetanus toxoids and pertussis (DTP) vaccines, three or more doses of poliovirus vaccine, one or more doses of any measlescontaining vaccine (MCV), three or more doses of Haemophilus influenzae type b (Hib) vaccine, and three or more doses of hepatitis B vaccine. Influenza vaccine for adults age 65 and over. The Centers for Disease Control and Prevention’s (CDC) Behavioral Risk Factor Surveillance System (BRFSS) collects prevalence data on risk behaviors and preventive health practices that affect health status. Vaccination of persons at risk for complications from influenza and pneumococcal disease is a key public health strategy for preventing associated morbidity and mortality in the United States. A–24



AIDS cases reported. All 50 states, the District of Columbia, and U.S. dependencies, possessions, and associated nations report AIDS cases to CDC by using a uniform surveillance case definition and case report form. Although completeness of reporting AIDS cases to state and local health departments differs by geographic region and patient population, studies conducted by state and local health departments indicate that the reporting of AIDS cases in most areas of the United States is more than 85 percent complete. Sexually transmitted disease (STD) cases. Cases of nationally notifiable STDs are reported to the CDC by the STD control programs and health departments in the 50 states, the District of Columbia, selected cities, 3,140 U.S. counties, U.S. dependencies and possessions, and independent nations in free association with the United States. Although most areas generally adhere to the same case definitions for STDs, there may be differences in the policies and systems for collecting surveillance data. Comparisons of case numbers and rates among areas should be interpreted with caution. However, since case definitions and surveillance activities within a given area remain relatively stable, trends should be minimally affected by these differences. Table A-20. Public School Fall Enrollment Total enrollment, 2002, 2000, 1995, and 1990; Prekindergarten through grade 8, 2002, 2000, 1995, and 1990; Grades 9 through 12, 2002, 2000, 1995, and 1990; Enrollment rate, 2002, 2000, 1995, and 1990. Source: U.S. National Center for Education Statistics, Digest of Education Statistics, annual, see Internet site . Public school enrollment data represent fall enrollment at all levels taught in a public school system, from prekindergarten through grade 12. These data are from the Common Core of Data (CCD), which is the National Center for Education Statistics’ (NCES) primary database on elementary and secondary public education in the United States. The CCD, collected annually, is a comprehensive, national statistical database of all public elementary and secondary schools and school districts and contains data that are comparable across all states. Table A-21. Public Elementary and Secondary Schools—Finances and Teachers Receipts, 2003–2004, Total, Revenue receipts, Total; Source, federal, state, and local; Nonrevenue receipts; State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Expenditures, 2003–2004, Total; Per capita; Current expenditures, Elementary and secondary day schools; Average per pupil in average daily attendance, amount, and rank; Capital outlay; Teachers, 2003–2004, Number, elementary and secondary; Average salary, elementary and secondary. Source: National Education Association, Washington, DC, Estimates of School Statistics Database (copyright). Revenue receipts are available for current expenses, other non-day-school programs operated by the public schools, capital outlay, and debt service for public schools. Included among revenue receipts are all appropriations from general funds of federal, state, county, and local governments; receipts from taxes levied for school purposes; income from permanent school funds and endowments; and income from leases of school lands and miscellaneous sources (interest on bank deposits, tuition, gifts, school lunch charges, and so on). Nonrevenue receipts refer to the amount received by local education agencies from the sale of bonds and real property and equipment, loans, and proceeds from insurance adjustments. Total expenditures for public schools include current expenditures for elementary and secondary day schools, capital outlays, and interest payments. Current expenditures include those expenditures for operating local public day schools, excluding interest on school debt and capital outlay. These expenditures include such items as salaries for school personnel, fixed charges, student transportation, school books and materials, and energy costs. Capital outlay refers to an expenditure that results in the acquisition of fixed assets or additions to fixed assets, which are presumed to have benefits for more than one year. It is an expenditure for land or existing buildings, improvements of grounds, construction of buildings, additions to buildings, remodeling of buildings, or initial, additional, and replacement equipment. Data on classroom teachers’ salaries are revised periodically by the National Education Association. Teachers at the elementary and secondary school levels include grades kindergarten through 6 and 7 through 12, respectively. Average salary is the arithmetic mean of the salaries of elementary and secondary school teachers. This figure is the average gross salary before deductions for social security, retirement, health insurance, etc. Table A-22. Public High School Graduates and Educational Attainment Public high school graduates, 2004, 2000, 1995, and 1990; State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Educational attainment, 2003, Population 25 years and over, Percent of persons 25 years and over, by highest level completed, not a high school graduate; high school graduate; some college, but no degree; associate’s degree; bachelor’s degree; and advanced degree. Sources: Public high school graduates—U.S. National Center for Education Statistics, Digest of Education Statistics, annual; Attainment—U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Social Characteristics, accessed 24 June 2005. See Internet site . Data for public high school graduates include graduates of regular day school programs but exclude other programs and persons receiving high school equivalency certificates. Data on educational attainment are derived from questions asked of all respondents to the American Community Survey, and data presented here are tabulated for people 25 years old and over. Respondents are classified according to the highest degree or the highest level of school completed. Persons currently enrolled in school are asked to report the level of the previous grade attended or the highest degree received. High school graduate refers to respondents who received a high school diploma or the equivalent, such as passing the test of General Educational Development (G.E.D.), and did not attend college. Some college, but no degree refers to respondents who have attended college for some amount of time but have no degree. The category Associate’s degree includes people whose highest degree is an associate’s degree, which generally requires 2 years of college-level work and is either in an occupational program that prepares them for a specific occupation, or an academic program primarily in the arts and sciences. The course work may or may not be transferable to a bachelor’s degree. Advanced degree refers to a graduate or professional degree. Table A-23. Institutions of Higher Education Fall enrollment, 2002, 2000, and 1990; Public, 2002, 2000, and 1990; Private, 2002, 2000, and 1990; State appropriations for higher education, 2003–2004, full-time equivalent enrollment, educational appropriations, educational appropriations per full-time equivalent enrollment, net tuition, and net tuition as a percent of total educational revenue. Sources: Fall enrollment—U.S. National Center for Education Statistics, Digest of Education Statistics, annual; Appropriations—State Higher Education Executive Officers, Denver, CO (copyright). Higher education is identified by the National Center for Education Statistics (NCES) as the study beyond secondary school at an institution that offers programs terminating A–25



in an associate, baccalaureate, or higher degrees. The data shown are based upon the Integrated Postsecondary Education Data System (IPEDS), established as the core postsecondary education data collection program for NCES. IPEDS is a system of surveys designed to collect data from all primary providers of postsecondary education in such areas as enrollment, program completions, faculty, staff, and finances. See the sources for methodological details. Appropriations refers to money set aside by formal legislative action for a specific use. SHEEO defines educational appropriations by the equation: Net State Support plus Local Tax Appropriations minus Research, Agricultural, and Medical (RAM) appropriations. See the source for further information. Full-time equivalent enrollment (FTE) is a measure of enrollment equal to one student enrolled full-time for one academic year, based on all credit hours, including summer sessions. The data capture FTE enrollment in public institutions of higher education in those credit or contact hours associated with courses that apply to degree or certificate, excluding noncredit continuing education, adult education, or extension courses. Data for net tuition exclude discounts, waivers, and state-appropriated aid to students attending in-state public institutions and excludes medical student tuition. Table A-24. Degree-Granting Institutions and Educational Services Degree-granting institutions, Degrees conferred, 2001–2002, total, public, private, and bachelor’s; Full-time faculty on 9/10-month contracts, 2002–2003, Total, Average salary, total and professors; Educational services, Establishments, 2002, 2001, and 2000; Number of employees, 2002, 2001, and 2000; Annual payroll, 2002, 2001, and 2000. Sources: Degrees conferred—U.S. National Center for Education Statistics, Digest of Education Statistics 2003, NCES 2005-025, December 2004; Faculty—U.S. National Center for Education Statistics, Staff in Postsecondary Institutions, Fall 2002, and Salaries of Full-Time Instructional Faculty, 2002–03, 2005-167, November 2004; Educational services—U.S. Census Bureau, County Business Patterns, annual; see Internet site . Degrees conferred refers to awards conferred by a college, university, or other postsecondary education institution as official recognition for the successful completion of a program of studies. Full-time faculty are those members of the instruction/research staff who are employed full-time and whose major regular assignment is instruction, including those with released time for research. Educational services. Refer to General Notes to see information on the Educational Services industry defined A–26



using the North American Industry Classification System (NAICS). See the notes and explanations for Table A-16 for information on establishments, employees, and payroll. Table A-25. Crimes and Crime Rates Violent, 2003, 2002, 2000, and 1990; Property, 2003, 2002, 2000, and 1990; Offenses by type per 100,000 population, 2003, Violent crimes, total, murder, forcible rape, robbery, and aggravated assault; Property crimes, total, burglary, larceny/theft, and motor vehicle theft. Source: U.S. Federal Bureau of Investigation, Crime in the United States, annual. See also (released 27 October 2003). Data presented on crime are through the voluntary contribution of crime statistics by law enforcement agencies across the United States. The Uniform Crime Reporting (UCR) program provides periodic assessments of crime in the nation as measured by offenses coming to the attention of the law enforcement community. The Committee of Uniform Crime Records of the International Association of Chiefs of Police initiated this voluntary national data collection effort in 1930. UCR program contributors compile and submit their crime data in one of two means: either directly to the FBI or through the state UCR programs. Users of these data are cautioned about comparing data between areas based on these respective Crime Index figures. Assessing criminality and law enforcement’s responses from area to area should encompass many elements (i.e., population density and urbanization, population composition, stability of population, modes of transportation, commuting patterns and highway systems, economic conditions, cultural conditions, family conditions, climate, effective strength and emphasis of law enforcement agencies, attitudes of citizenry toward crime, and crime reporting practices). These elements may have a significant impact on crime reporting. Also, not all law enforcement agencies provide data for all 12 months of the year, and some agencies fail to report at all. Data are as reported to the FBI. Seven offenses, because of their seriousness, frequency of occurrence, and likelihood of being reported to police, were initially selected to serve as an index for evaluating fluctuations in the volume of crime. These crimes, known as the Crime Index offenses, were murder and nonnegligent manslaughter, forcible rape, robbery, aggravated assault, burglary, larceny-theft, and motor vehicle theft. By congressional mandate, arson was added as the eighth Index offense in 1979. Only the Modified Index (not shown in this publication) includes arson. Violent crimes include four crime categories: (1) Murder and nonnegligent manslaughter, as defined in the UCR program, is the willful (nonnegligent) killing of one human State and Metropolitan Area Data Book: 2006

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being by another. This offense excludes deaths caused by negligence, suicide, or accident; justifiable homicides; and attempts to murder or assaults to murder. (2) Forcible rape is the carnal knowledge of a female forcibly and against her will. Assaults or attempts to commit rape by force or threat of force are also included; however, statutory rape (without force) and other sex offenses are excluded. (3) Robbery is the taking or attempting to take anything of value from the care, custody, or control of a person or persons by force or threat of force or violence and/or by putting the victim in fear. (4) Aggravated assault is an unlawfulattack by one person upon another for the purpose of inflicting severe or aggravated bodily injury. This type of assault is usually accompanied by the use of a weapon or by means likely to produce death or great bodily harm. Attempts are included since an injury does not necessarily have to result when a gun, knife, or other weapon is used, which could and probably would result in a serious personal injury if the crime were successfully completed. In general, property crimes include four crime categories: (1) Burglary is the unlawful entry of a structure to commit a felony or theft. (2) Larceny-theft is the unlawful taking, carrying, leading, or riding away of property from the possession or constructive possession of another. It includes crimes such as shoplifting, pocket picking, purse snatching, thefts from motor vehicles, thefts of motor vehicle parts and accessories, bicycle thefts, etc., in which no use of force, violence, or fraud occurs. This crime category does not include embezzlement, ‘‘con’’ games, forgery, worthless checks, and motor vehicle theft. (3) Motor vehicle theft is the theft or attempted theft of a motor vehicle. This definition excludes the taking of a motor vehicle for temporary use by those persons having lawful access. (4) Arson is any willful or malicious burning or attempt to burn, with or without intent to defraud, a dwelling house, public building, motor vehicle or aircraft, personal property of another, etc. Only fires determined through investigation to have been willfully or maliciously set are classified as arson. Fires of suspicious or unknown origins are excluded. Rates are based on U.S. Census Bureau resident population enumerated as of April 1 for decennial census years and estimated as of July 1 for other years. Table A-26. Juvenile Arrests, Child Abuse Cases, and Prisoners Juvenile arrest rate, 2003, violent crime, property crime, drug abuse, and weapons; Child abuse and neglect cases reported and investigated, 2003, number of reports, number of children subject of investigation, and number of victims; Prisoners under jurisdiction of federal and state authorities, 2003, number and rate; 2000; State and Metropolitan Area Data Book: 2006

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Prisoners executed, 2004 and 1977 to 2004; Prisoners under death sentence, 2003, 2002, 2001, and 2000. Sources: Juvenile arrests—Office of Justice Programs, Juvenile Arrests 2003, see Internet site ; Child abuse and neglect—U.S. Department of Health and Human Services, Administration of Children, Youth and Families, Child Maltreatment 2003 (Washington, DC: U.S. Government Printing Office, 2003); Prisoners under jurisdiction—U.S. Bureau of Justice Statistics, Prisoners in 2003, and earlier issues, see Internet site ; Capital punishment—U.S. Bureau of Justice Statistics, Capital Punishment, annual, see Internet site . Data on juvenile arrest rates are based on analysis of arrest data from FBI reports and population from the Census Bureau. Rates are calculated by dividing the number of arrests of persons under age 18 for every 100,000 persons ages 10–17. Arrest rates are calculated by dividing the number of youth arrests made in the year by the number of youth living in reporting jurisdictions. While juvenile arrest rates in part reflect juvenile behavior, many other factors can affect the size of these rates. Consequently, comparisons of juvenile arrest rates across states, while informative, should be made with caution. Data on child abuse and neglect cases are collected and analyzed through the National Child Abuse and Neglect Data System (NCANDS) by the Children’s Bureau, Administration on Children, Youth and Families in the Administration for Children and Families, U.S. Department of Health and Human Services. The number of investigations includes assessments and is based on the total number of investigations that received a disposition. The number of children subject of an investigation of assessment is based on the total number of children for whom an alleged maltreatment was substantiated, indicated, or assessed to have occurred or the child was at risk of occurrence. Victims are defined as children subject of a substantiated, indicated, or alternative response-victim maltreatment. Data for prisoners under federal and state jurisdiction were collected by the Bureau of Justice Statistics. Adults convicted of criminal activity may be given a prison or jail sentence. The data represent all persons under the jurisdiction of federal and state authorities rather than those in custody of those authorities. Data on number of executions are for persons executed under crime authority. Fifty-nine persons were executed in 2004, bringing to 944 the total executed since 1977. Data on persons under sentence of death are collected annually for the Bureau of Justice Statistics as part of the National Prisoner Statistics Program. Data are obtained A–27



from the departments of corrections in each of the 50 states and the District of Columbia. The following states and the District of Columbia did not have the death penalty as of December 31, 2003: Alaska, Hawaii, Iowa, Maine, Massachusetts, Michigan, Minnesota, North Dakota, Rhode Island, Vermont, West Virginia, and Wisconsin. The data exclude prisoners under sentence of death who remained within local correctional systems pending exhaustion of the appellate process or who had not been committed to prison. Table A-27. State and Local Justice System and State Prisons Full-time equivalent employment, 2002, number and percent of total state and local; 2000; Per 10,000 population, 2002, total justice system, police protection, judicial and legal, and corrections; Expenditures, 2002, total and percent of state and local; 2000; Per capita, 2002, total justice system, police protection, judicial and legal, and corrections; State prison expenditures, fiscal year 2001, Expenditures, total, operating, and capital; Annual operating costs, per inmate and per resident. Source: U.S. Bureau of Justice Statistics, Justice Expenditure and Employment Extracts, 2002, and prior years; and State Prison Expenditures, 2001; see also . State and local justice system. Full-time employees include those persons whose hours of work represent fulltime employment in their employer government. Expenditure refers to all amounts of money paid out other than for retirement of debt, investment in securities, extensions of loans, or agency transactions. It includes only external cash payments and excludes any intragovernmental transfers and noncash transactions. It also includes any payments financed from borrowing, fund balances, intergovernmental revenue, and other current revenue. Data for police protection cover all activities concerned with the enforcement of law and order, including coroners’ offices, police-training academies, investigation bureaus, and local jails, ‘‘lockup,’’ or other detention facilities not intended to serve as correctional facilities. Judicial and legal services covers all civil and criminal activities associated with courts, including prosecution and public defense. Data for corrections cover all activities pertaining to the confinement and correction of adults and minors accused or convicted of criminal offenses. Any pardon, probation, and parole activities also are included here. Data on state prison expenditures were obtained by extracting corrections data from each state’s responses to A–28



the Census Bureau’s annual Survey of Government Finances. Expenditures are the total amounts paid for prison operations, including interest on indebtedness. Table A-28. Civilian Labor Force and Employment Civilian noninstitutionalized population 16 years and over, 2004, total, male, and female; 2003; 2000; and 1990; Civilian labor force, Total 2004, number, male, and female; 2003; 2000; and 1990; Employed, 2004, number, male, and female; 2003; 2000; and 1990. Source: U.S. Bureau of Labor Statistics, Geographic Profile of Employment and Unemployment, 2004 Annual Averages; see Internet site (accessed 2 August 2005); data for prior years, Local Unemployment Statistics Program, see Internet site (accessed 7 September 2005). Civilian labor force data are based on the Current Population Survey (CPS) and are annual averages of monthly data. An explanation of the technical procedures used to develop labor force estimates appears monthly in the Explanatory Note in the BLS periodical, Employment and Earnings. Information may also be found in the Handbook of Labor Statistics, which may be found at the BLS Web site at . The civilian noninstitutionalized population includes persons 16 years of age and older residing in the 50 states and the District of Columbia who are not inmates of institutions (for example, penal and mental facilities, homes for the aged), and who are not on active duty in the armed forces. The civilian labor force comprises all civilians 16 years old and over classified as employed or unemployed. Employed persons are all civilians who, during the survey week, did any work at all as paid employees, in their own business, profession, or on their own farm or who worked 15 hours or more as unpaid workers in an enterprise operated by a member of the family. It also includes all those who were not working but who had jobs or businesses from which they were temporarily absent because of illness, bad weather, vacation, labormanagement disputes, job training, or personal reasons, whether they were paid for the time off or were seeking other jobs. Each employed person is counted only once regardless of how many jobs they may have. Table A-29. Civilian Labor Force and Unemployment Employment/population ratio, 2004, male and female; Unemployment, Total, 2004, total, male, and female; 2003; 2000; and 1990; Rate, 2004, total, male, and female; 2003; 2000; and 1990; Participation rate, 2004, male and female. State and Metropolitan Area Data Book: 2006

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Source: U.S. Bureau of Labor Statistics, Geographic Profile of Employment and Unemployment, 2004 Annual Averages; see Internet site (accessed 2 August 2005); data for prior years, Local Unemployment Statistics Program, see Internet site (accessed 7 September 2005). Unemployed persons are all civilians 16 years old and over who had no employment during the survey week, were available for work, except for temporary illness, and had made specific efforts to find employment some time during the prior 4 weeks. Persons who were laid off or were waiting to report to a new job within 30 days did not need to be looking for work to be classified as unemployed. The unemployment rate for all civilian workers represents the number of unemployed as a percent of the civilian labor force. Table A-30. Employed Civilians by Occupation: 2003 Total, Management, professional and related occupations, Management, business, and financial operations occupations, Professional and related occupations; Service occupations; Sales and office occupations, Sales and related occupations, Office and administrative support occupations; Natural resources, construction, and maintenance occupations, Farming, fishing, and forestry occupations, Construction and extraction occupations, Installation, maintenance, and repair occupations; Production, transportation, and material-moving occupations, Production occupations, Transportation and material-moving occupations. Source: U.S. Bureau of Labor Statistics, Local Area Unemployment Statistics, Geographic Profile of Employment and Unemployment, 2003 (published August 2005). See Internet site . Employed persons are persons 16 years and over in the civilian noninstitutionalized population who, during the reference week, (a) did any work at all (at least 1 hour) as paid employees; worked in their own business, profession, or on their own farm, or worked 15 hours or more as unpaid workers in an enterprise operated by a member of the family; and (b) all those who were not working but who had jobs or businesses from which they were temporarily absent because of vacation, illness, bad weather, child care problems, maternity or paternity leave, labormanagement dispute, job training, or other family or personal reasons, whether or not they were paid for the time off or were seeking other jobs. Each employed person is State and Metropolitan Area Data Book: 2006

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counted only once, even if he or she holds more than one job. Excluded are persons whose only activity consisted of work around their own house (painting, repairing, or ownhome housework) or volunteer work for religious, charitable, and other organizations. An occupation is a set of activities or tasks that employees are paid to perform. Employees who perform essentially the same tasks are in the same occupation, whether or not they work in the same industry. Some occupations are concentrated in a few particular industries; other occupations are found in many industries. These data are based on the occupational classifications derived from the 2000 census. For information concerning the occupations, see the following Bureau of Labor Statistics (BLS) Web site at . Table A-31. Private Industry Employment and Pay Employment, 2003, 2002, 2001, and 2000; Percent change, 2002–2003 and 2000–2003; Average annual pay, 2003, 2002, 2001, and 2000; Rank, 2003 and 2000; Percent change, 2002–2003 and 2000–2003. Source: U.S. Bureau of Labor Statistics, Employment and Wages, Annual Averages, annual, 2003 edition. See Internet sites and for prior years. These data for employment and average annual pay are the product of a federal-state cooperative program, the Quarterly Census of Employment and Wages (QCEW) program, also knows as the ES-202 program. The data are derived from summaries of employment and total pay of workers covered by state and federal unemployment insurance (UI) legislation and provided by State Workforce Agencies (SWAs). The summaries are a result of the administration of state unemployment insurance programs that require most employers to pay quarterly taxes based on the employment and wages of workers covered. Average annual pay was computed by dividing total annual payrolls of employers covered by unemployment insurance programs by average monthly employment for these employers. Included in the annual payroll data are bonuses, the cash value of meals and lodging when supplied, and tips and other gratuities. Average annual pay only approximates annual earnings because an individual may not be employed by the same employer all year or may work for more than one employer. Table A-32. Industry Employment and Pay Private industry employment, 2003, Total; construction; manufacturing; wholesale trade; retail trade; transportation and warehousing; information; finance and insurance; real estate and rental and A–29



leasing; professional and technical services; management of companies and enterprises; educational services; health care and social assistance; arts, entertainment, and recreation; and accommodation and food services; Government employment, 2003; Private industry annual pay, Total; construction; manufacturing; wholesale trade; retail trade; transportation and warehousing; information; finance and insurance; real estate and rental and leasing; professional and technical services; management of companies and enterprises; educational services; health care and social assistance; arts, entertainment, and recreation; and accommodation and food services; Government average annual pay, 2003. Source: U.S. Bureau of Labor Statistics, Employment and Wages, Annual Averages, 2003, annual. See Internet site . See the text for Table A-31 for explanations of employment and annual pay data. Refer to General Notes to see information on different industries defined using the North American Industry Classification System (NAICS). Table A-33. Union Membership Union members, 2004, 2000, and 1990; Workers covered by union, 2004, 2000, and 1990; Percent of workers, Union members, 2004, 2000, and 1990; Covered by union, 2004, 2000, and 1990; Private sector union members, 2004, 2000, and 1990. Source: The Bureau of National Affairs, Inc., Washington, DC, Union Membership and Earnings Data Book: Compilations from the Current Population Survey, 2004 and prior annual editions (copyright by BNA PLUS); authored by Barry Hirsch of Trinity University, San Antonio, TX, and David Macpherson of Florida State University. See Internet sites and . Union membership data refer to wage and salary workers who report that they are members of a labor union or an employee association similar to a union. These data are based on the Current Population Survey (CPS) and represent union members by place of residence. Refer to the source for information on the methodology used. Table A-34. Median Income of Households in Constant (2003) Dollars and Distribution by Income Level Median household income in (2003) dollars, 2003, 2002, 2001, and 2000; Total number of households, 2003; Percent of households by income level, 2003, under $10,000, $10,000–$14,999, $15,000–$24,999, A–30



$25,000–$34,999, $35,000–$49,999, $50,000–$74,999, $75,000–$99,999, $100,000–$149,999, $150,000–$199,999, and $200,000 and over. Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Economic Characteristics, accessed 24 June 2005. See Internet site . Income of households includes the income of the householder and all other individuals 15 years old and over in the household, whether they are related to the householder or not. Because many households consist of only one person, average household income is usually less than average family income. Although the household income statistics cover the past 12 months, the characteristics of individuals and the composition of households refer to the time of enumeration. Thus, the income of the household does not include amounts received by individuals who were members of the household during all or part of the past 12 months if these individuals no longer resided in the household at the time of enumeration. Similarly, income amounts reported by individuals who did not reside in the household during the past 12 months but who were members of the household at the time of enumeration are included. However, the composition of most households was the same during the past 12 months as at the time of enumeration. Median income divides the income distribution into two equal parts: one-half of the cases falling below the median income and one-half above the median. The median household income is based on the distribution of the total number of households including those with no income. Table A-35. Median Income of Families in Constant (2003) Dollars and Distribution by Income Level Median family income in (2003) dollars, 2003, 2002, 2001, and 2000; Total number of families, 2003; Percent of families by income level, 2003, under $10,000, $10,000–$14,999, $15,000–$24,999, $25,000–$34,999, $35,000–$49,999, $50,000–$74,999, $75,000–$99,999, $100,000–$149,999, $150,000–$199,999, and $200,000 and over. Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Economic Characteristics, accessed 24 June 2005. See Internet site . In compiling statistics on family income, the incomes of all members 15 years old and over related to the householder are summed and treated as a single amount. Although the family income statistics cover the past 12 months, the State and Metropolitan Area Data Book: 2006

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characteristics of individuals and the composition of families refer to the time of enumeration. Thus, the income of the family does not include amounts received by individuals who were members of the family during all or part of the past 12 months if these individuals no longer resided with the family at the time of enumeration. Similarly, income amounts reported by individuals who did not reside with the family during the past 12 months but who were members of the family at the time of enumeration are included. However, the composition of most families was the same during the past 12 months as at the time of enumeration. Median income divides the income distribution into two equal parts: one-half of the cases falling below the median income and one-half above the median. The median family income is based on the distribution of the total number of families including those with no income. Table A-36. Poverty Status of Families and Individuals in the Past 12 Months Number below poverty in the past 12 months, Families, 2003, 2002, 2001, and 2000; Individuals, 2003, 2002, 2001, and 2000; Percent below poverty in the past 12 months, Families, 2003, 2002, 2001, and 2000; Individuals, 2003, 2002, 2001, and 2000. Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Economic Characteristics, accessed 24 June 2005. See Internet site . Poverty status is determined using thresholds arranged in a two-dimensional matrix. The matrix consists of family size cross-classified by presence and number of family members under age 18 years old. Unrelated individuals and two-person families are further differentiated by age of reference person. To determine a person’s poverty status, one compares the person’s total family income in the last 12 months with the poverty threshold appropriate for that person’s family size and composition. If the total income of that person’s family is less than the threshold appropriate for that family, then the person is considered poor or ‘‘below the poverty level,’’ together with every member of his or her family. If a person is not living with anyone related by birth, marriage, or adoption, then the person’s own income is compared with his or her poverty threshold. The total number of people below the poverty level was the sum of people in families and the number of unrelated individuals with incomes in the last 12 months below the poverty level. Table A-37. Housing—Units and Characteristics Total housing units, 2004, 2000, and 1990; Characteristics, 2003, Total units, State and Metropolitan Area Data Book: 2006

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Units in structure, percent, 1-unit detached, 1-unit attached, and mobile home; Year built, percent, 1990 or later, 1970 to 1989, and prior to 1950; Occupied units, Total units; Vehicles available, percent, none, 1, 2, and 3 or more; House heating fuel, percent, utility gas and electricity. Sources: Housing units—U.S. Census Bureau, ‘‘Table 1: Annual Estimates of Housing Units for the United States and States: April 1, 2000 to July 1, 2004’’ (HU-EST200401), published 21 July 2005, Internet site ; and ‘‘Housing Units, Households, Households by Age of Householder, and Persons per Household: April 1, 1990’’ (ST-9847), published 8 December 1999, Internet site ; Characteristics—U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Housing Characteristics, accessed 24 June 2005, see Internet site . Refer to the General Notes to see information on the American Community Survey (ACS). A housing unit is a house, apartment, mobile home or trailer, group of rooms, or single room occupied or, if vacant, intended for occupancy as separate living quarters. Separate living quarters are those in which the occupants do not live and eat with any other persons in the structure and that have direct access from the outside of the building through a common hall. For vacant units, the criteria of separateness and direct access are applied to the intended occupants whenever possible. Units in structure. A structure is a separate building that either has open spaces on all sides or is separated from other structures by dividing walls that extend from ground to roof. In determining the number of units in a structure, all housing units, both occupied and vacant, are counted. Stores and office space are excluded. The statistics are presented for the number of housing units in structures of specified type and size, not for the number of residential buildings. Year structure built refers to when the building was first constructed, not when it was remodeled, added to, or converted. Housing units under construction are included as vacant housing if they meet the housing unit definition—that is, all exterior windows, doors, and final usable floors are in place. For mobile homes, houseboats, RVs, etc., the manufacturer’s model year was assumed to be the year built. The data relate to the number of units built during the specified periods that were still in existence at the time of enumeration. A housing unit is classified as occupied if it is the current place of residence of the person or group of people living in it at the time of enumeration, or if the occupants are A–31



only temporarily absent from the residence for 2 months or less; that is, away on vacation or a business trip. If all the people staying in the unit at the time of the interview are staying there for 2 months or less, the unit is considered to be temporarily occupied, and classified as ‘‘vacant.’’ The occupants may be a single family, one person living alone, two or more families living together, or any other group of related or unrelated people who share living quarters. Occupied rooms or suites of rooms in hotel, motels, and similar places are classified as housing units only when occupied by permanent residents, that is, people who consider the hotel as their current place of residence or have no current place of residence elsewhere. If any of the occupants in rooming or boarding houses, congregate housing, or continuing care facilities live separately from others in the building and have direct access, their quarters are classified as separate housing units. Data on vehicles available show the number of passenger cars, vans, and pickup or panel trucks of one-ton capacity or less kept at home and available for the use of household members. Vehicles rented or leased for 1 month or more, company vehicles, and police and government vehicles are included if kept at home and used for nonbusiness purposes. Dismantled or immobile vehicles are excluded. Vehicles kept at home but used only for business purposes also are excluded. House heating fuel data refer to occupied housing units. The data show the type of fuel used most to heat the house, apartment, or mobile home. Utility gas includes gas piped through underground pipes from a central system to serve the neighborhood. Electricity is generally supplied by means of above or underground electric power lines. Table A-38. Specified Owner- and Renter-Occupied Units—Value and Gross Rent Specified owner-occupied units, Total units, 2003; Median value in constant (2003) dollars, 2003, 2002, and 2000; Value in 2003, percent, less than $100,000, $100,000– $199,999, $200,000–$299,999, and $300,000 and over; Specified renter-occupied units, Total units, 2003; Median gross rent in constant (2003) dollars, 2003, 2002, and 2000; Gross rent for units with case rent in 2003, percent, less than $300, $300–$499, $500–$749, and $750 or more. Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Housing Characteristics, accessed 24 June 2005. See Internet site . A–32



Refer to the General Notes to see information on the American Community Survey (ACS). Specified owner-occupied units include only 1-family houses on less than 10 acres without a business or medical office on the property. The data for ‘‘specified units’’ exclude mobile homes, houses with a business or medical office, houses on 10 or more acres, and housing units in multiunit buildings. Value is the respondent’s estimate of how much the property (house and lot, mobile home and lot, or condominium unit) would sell for if it were for sale. If the house or mobile home was owned or being bought, but the land on which it sits was not, the respondent was asked to estimate the combined value of the house or mobile home and the land. Median value divides the value distribution into two equal parts: one-half of the cases falling below the median value of the property and one-half above the median. Specified renter-occupied units are renter-occupied (or vacant-for-rent) units that exclude one-family houses on 10 or more acres. Gross rent is the contract rent plus the estimated average monthly cost of utilities (electricity, gas, and water and sewer) and fuels (oil, coal, kerosene, wood, etc.) if these are being paid for by the renter (or paid for the renter by someone else). The median rent divides the rent distribution into two equal parts: one-half of the cases falling below the median contract rent and one-half above the median. Table A-39. Housing Starts, Sales, Vacancy Rates, and Ownership Homeownership rate, 2004, 2000, and 1990; Vacancy rates, 2004, rental and homeowner; Existing home sales, 2004, 2003, 2002, 2001, and 2000; Housing starts, 2006 estimate, 2005 estimate, 2004 estimate, 2003, 2002, 2001, and 2000. Sources: Homeownership and vacancy rates—U.S. Census Bureau, ‘‘Housing Vacancies and Home Ownership Annual Statistics: 2004,’’ Internet site (accessed 31 Mar 2005); Home sales—NATIONAL ASSOCIATION OF REALTORS®, Washington, DC, Real Estate Outlook: Market Trends & Insights, monthly (copyright), see Internet site ; Housing starts—National Association of Home Builders, Economics Division, Washington, DC, data provided by the Econometric Forecasting Service. Vacancy rates and homeownership rates are based on data obtained from the Current Population Survey/ Housing Vacancy Survey (CPS/HVS). Beginning in 2003, new weighting procedures based on the 2000 decennial census were implemented. Caution should be used when comparing current data with 1990 data shown here. A housing unit is vacant if no one is living in it at the time of the interview, unless its occupants are only temporarily absent. In addition, a vacant unit may be one that is State and Metropolitan Area Data Book: 2006

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owned entirely by persons who have a usual residence elsewhere. Rental vacancy rate is the proportion of the rental inventory that is vacant for rent. The homeowner vacancy rate is the proportion of the homeowner inventory that is vacant for sale. The proportion of owner households to occupied households is termed the homeownership rate. It is computed by dividing the number of owner households by the number of occupied households. Existing home sales data are from the National Association of Realtors. See source for detail of statistics presented (copyright). Data for housing starts were supplied to the National Association of Home Builders by the Econometric Forecasting Service. For details about the data, please contact the source. Table A-40. Cost of Living Indicators—Housing, Hospital Stays, Public University, Utilities, Gasoline, and Tax Rates Housing prices of single-family homes, All housing, 2004, 2003, and 2000; Previously owned, 2004, 2003, and 2000; Average costs per full-time-equivalent student in public colleges and universities, Public 4-year institutions, 2003–2004, 2002–2003, and 1999–2000; Public 2-year institutions, 2003–2004, 2002–2003, and 1999–2000; Hospital cost per day, 2003, 2002, 2001, and 2000; Energy expenditures, per capita, 2001 and 2000; Regular gasoline prices, 2004, 2003, and 2000; Residential utility prices, No. 2 heating oil, 2004, 2003, and 2000; Natural gas, 2004, 2003, and 2000; Electric energy, 2004, 2003, and 2000; State individual income tax collections per capita, 2004 and 2000; State tax rates, General sales tax, 2005, 2004, and 2000; Gasoline, 2005, 2004, and 2000. Sources: Housing prices—Federal Housing Finance Board, ‘‘Monthly Interest Rate Survey’’; see Internet site ; Public university—U.S. National Center for Education Statistics, Digest of Education Statistics 2003, and prior years; see Internet site ; Hospital stays—Health Forum, An American Hospital Association Company, Chicago, IL, Hospital Statistics 2003 edition, and prior years (copyright); Energy expenditures—U.S. Energy Information Administration, State Energy Price and Expenditure Report, annual; see also Internet site ; Gasoline prices—U.S. Energy Information Administration, Petroleum Marketing Annual 2004, and prior years; see also Internet site ; State and Metropolitan Area Data Book: 2006

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Utility prices—U.S. Energy Information Administration, ‘‘Petroleum Product Prices’’ and ‘‘Natural Gas Prices’’; see Internet site (accessed 12 September 2005); and Electric Power Monthly, March 2005, and Electric Power Annual 2003, and prior years; see also Internet site ; State individual income tax—U.S. Census Bureau, ‘‘State Government Tax Collections’’; see Internet site ; State tax rates—Federation of Tax Administrators, 2005 and previous years; see Internet site . Data on housing prices are collected through the Federal Housing Finance Board’s Monthly Interest Rate Survey (MIRS). This survey provides monthly information on interest rates, loan terms, and house prices by property type, by loan type, and by lender type, as well as information on 15- and 30-year fixed-rate loans. The average costs per full-time-equivalent student in public colleges and universities data shown are based upon the Integrated Postsecondary Education Data System (IPEDS), established as the core postsecondary education data collection program for NCES. IPEDS is a system of surveys designed to collect data from all primary providers of postsecondary education in such areas as enrollment, program completions, faculty, staff, and finances. See the sources for methodological details. Hospital cost per day. The American Hospital Association (AHA) compiles community hospitals statistics from surveys of all hospitals in the United States and its outlying areas. AHA surveys include unregistered hospitals as well as those registered by the AHA. Hospitals were asked to report data for a full year ending September 30. Data for hospital cost per day are total expenses adjusted per inpatient day. Expenses include payroll, nonpayroll, bad debt, and all nonoperating expenses for the reporting period. Energy expenditure data refers to money directly spent by consumers to purchase energy. Expenditures equal the amount of energy used by the consumer times the price per unit paid by the consumer. In the calculation of the amount of energy used, process fuel and intermediate products are not included. Population used to calculate per capita data is based on total population residing in the area. The data on regular gasoline prices refer to prices of gasoline having an antiknock, i.e., octane rating, greater than or equal to 88 and less than or equal to 90. Gasoline sales are reported by grade in accordance with their classification at the time of sales. In general, automotive octane requirements are lower at high altitudes. Therefore, in some areas of the United States, such as the Rocky Mountain States, the octane ratings for the gasoline grade may be 2 or more octane points lower. Prices exclude federal and state taxes. A–33



Residential utility prices refer to the price of fuel used in private dwellings, including apartments, for heating, cooking, water heating, and other household uses. Prices for No. 2 heating oil include sales of No. 2 fuel oil and high- and low-sulfur diesel fuels. Prices are classified in accordance to what the product was sold as, regardless of the actual specifications of that product. If a No. 2 distillate were sold as a heating oil or fuel oil, the volume and price would be published in the category No. 2 fuel oil even if the product conformed to the higher specifications of a diesel fuel. Prices exclude federal and state taxes. Natural gas is a mixture of hydrocarbon compounds and small quantities of various nonhydrocarbons existing in the gaseous phase or solution with oil in natural underground reservoirs at reservoir conditions. The price of electric energy is calculated by dividing the total monthly revenue by the corresponding total monthly sales for each sector and geographic area. Data for state individual income tax collections were based on the Annual Survey of State Government Tax Collection. Taxes are defined as all compulsory contributions exacted by a government for public purposes, except employer and employee assessments for retirement and social insurance purposes. For more detailed information on income tax collections, see the source. The Federation of Tax Administrators collects data on state tax rates from various sources. The data shown are as of January 1 of the year shown. States may change these tax rates any time during the year. Data for taxes on fuel are collected by distributor/supplier/retailers in each state. Additional taxes may apply to motor carriers. See the source for more detailed methodological information. Table A-41. Gross State Product in Current and Real (2000) Dollars and by Selected Large Industry Current dollars, 2004, 2003, 2002, 2001, 2000, and 1990; Chained (2000) dollars, 2004, 2003, 2002, 2001, 2000, and 1990; Chained (2000) dollars by industry, 2003, total; construction; manufacturing; wholesale trade; retail trade; transportation and warehousing; information, finance and insurance; real estate, renting and leasing; professional and technical services; management of companies and enterprises; educational services; health care and social assistance; arts, entertainment, and recreation; accommodation and food services; and government. Source: Bureau of Economic Analysis, Survey of Current Business, June 2005; and Internet site (released 23 June 2005). Gross state product (GSP) is the value added in production by the labor and property located in a state. GSP for a state is derived as the sum of the gross state product A–34



originating in a state. In concept, an industry’s GSP, referred to as its ‘‘value added,’’ is equivalent to its gross output minus its intermediate inputs. GSP is often considered the state counterpart of the nation’s gross domestic product (GDP), the Bureau of Economic Analysis’ (BEA’s) featured measure of U.S. output. In practice, GSP estimates are measured as the sum of the costs incurred and incomes earned in the production of GDP. The BEA prepares estimates of GSP in millions of current dollars and of real GSP in millions of chained (2000) dollars. The estimates of real GSP are derived by applying national implicit price deflators to the current-dollar GSP estimates for the detailed industries. These estimates of real GSP reflect the uniqueness of each state’s industry mix, but they do not reflect differences by state in the prices of goods and services produced for local markets. Table A-42. Personal Income Personal income, Current dollars, 2004, 2003, 2002, and 2000; Constant (2000) dollars, 2004, 2003, 2002, and 2000; Percent change, 2000–2004; Percent distribution, 2004 and 2000. Disposable personal income, Current dollars, 2004, 2003, 2002, and 2000; Constant (2000) dollars, 2004, 2003, 2002, and 2000; Percent change, 2000–2004. Source: Except as noted, U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005. See also (released 28 March 2005). Personal income data are based on the Regional Economic Information System; see Appendix B for additional information on that system. Personal income is defined as the income received by, or on behalf of, all residents of the state. It consists of the income received by persons from all sources; that is, from participation in production, from both government and business transfer payments, and from government interest (which is treated like a transfer payment). Personal income is the sum of wage and salary disbursements, other labor income, proprietors’ income with inventory valuation and capital consumption adjustments, personal dividend income, personal interest income, and transfer payment to persons, less personal contributions for social insurance. Disposable income is the income that ultimately flows back to households and consumers, after subtracting any taxes that are paid and after adding any transfer payments received by households (such as social security, unemployment insurance, and welfare). It is personal income that is available for spending and saving. Table A-43. Personal Income Per Capita Personal income per capita, Current dollars, 2004, 2003, 2002, 2001, and 2000; Constant (2000) dollars, 2004, 2003, 2002, 2001, and State and Metropolitan Area Data Book: 2006

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2000; Income rank, 2004 and 2000; Disposable personal income per capita, Current dollars, 2004, 2003, 2002, 2001, and 2000; Constant (2000) dollars, 2004, 2003, 2002, 2001, and 2000; Percent of U.S. average, 2004 and 2000. Source: Except as noted, U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005. See also (released 28 March 2005). Personal income is defined as the income received by, or on behalf of, all residents of the state. It consists of the income received by persons from all sources; that is, from participation in production, from both government and business transfer payments, and from government interest (which is treated like a transfer payment). Refer to the source explanations for A-42 for more detailed information on personal income and disposable personal income. Per capita personal income is calculated as the total personal income of the residents of an area divided by the population of the area. Per capita personal income is often used as an indicator of the quality of consumer markets and of the economic well-being of the residents of the area. Table A-44. Earnings by Industry: 2004 Farm earnings, Private earnings, forestry, fishing-related activities, and other; mining; utilities; construction; manufacturing; wholesale trade; retail trade; information; finance and insurance; real estate and rental and leasing; professional and technical services; management of companies and enterprises; administrative and waste services; educational services; health care and social assistance; arts, entertainment and recreation; and accommodation and food services; Government and government enterprises, federal, civilian; military; and state and local. Source: U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005. See Internet site . Earnings by industry are a by-product and actual component of the personal income series in Tables A-42 and A-43. Earnings cover wage and salary disbursements, other labor income, and proprietors’ income. Wage and salary disbursements are defined as monetary remuneration of employees, including corporate officers; commissions, tips, and bonuses; and pay-in-kind that represents income to the recipient. They are measured before such deductions as social security contributions and union dues. All disbursements in the current period are covered. Pay-inkind represents allowances for food, clothing, and lodging State and Metropolitan Area Data Book: 2006

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paid in kind to employees, which represent income to them, valued at the cost to the employer. Other labor income consists of employer contributions to privately administered pension and welfare funds and a few small items such as directors’ fees, compensation of prison inmates, and miscellaneous judicial fees. Proprietors’ income is the monetary income and income in-kind of proprietorships and partnerships, including the independent professions, and of tax-exempt cooperatives. Refer to General Notes for information on industries. Table A-45. Science and Engineering Indicators Doctoral scientists, 2001 and 1999; Doctoral engineers, 2001 and 1999; S&E doctorates awarded, 2002 and 2001; Federal R&D obligations, 2002, 2001, and 1999; Total R&D performance, 2002 and 2000; Industry R&D, 2002 and 2000; Academic R&D, 2002 and 2001; Number of SBIR awards, 1999–2002 and 1995–2000; Utility patents issued to state residents, 2002 and 2001. Source: National Science Foundation, Science and Engineering State Profiles: 2001–03, and previous editions. See also . The Division of Science Resources Statistics (SRS) of the National Science Foundation (NSF) compiles science and engineering (S&E) data that summarize state-specific data on personnel and finances. The SRS survey databases include doctoral scientists and engineers, S&E doctorates awarded, S&E graduate students and postdoctorates, federal research and development (R&D) obligations by agency and performer, total and industrial R&D expenditures, and academic R&D expenditures. See the source for detailed information on these topics. Table A-46. Employer Firm Births and Terminations and Business Bankruptcies Number of employer firms, 2003, 2002, and 2001; Employer firm births, 2003, 2002, and 2001; Rate, 2003, 2002, and 2001; Employer firm terminations, 2003, 2002, and 2001; Rate, 2003, 2002, and 2001; Business bankruptcies, 2003, 2002, and 2001. Source: U.S. Small Business Administration, Office of Advocacy, ‘‘Small Business Economic Indicators for 2003,’’ published August 2004; see Internet site . Firms are an aggregation of all establishments owned by a parent company with some annual payroll. Employer firm births refers to the formation of new establishments or enterprises. Employer firm deaths refers to the voluntary or involuntary closure of a firm or establishment. Bankruptcy is a condition in which a business cannot meet its A–35



debt obligations and petitions a federal district court for either reorganization of its debts or liquidations of its assets. In the action the property of a debtor is taken over by a receiver or trustee in bankruptcy for the benefit of the creditors. This action is conducted as prescribed by the National Bankruptcy Act, and may be voluntary or involuntary. See the above source for more methodological information. Table A-47. Employer Firms and Nonemployer Establishments Firms, 2002 and 2000, By employment-size of enterprise, 2002, fewer than 20 employees and fewer than 500 employees; Employment, 2002, Total, By employment-size of enterprise, fewer than 20 employees and fewer than 500 employees; Annual payroll, 2002, Total, By employment-size of enterprise, fewer than 20 employees and fewer than 500 employees; Nonemployer establishments, 2002 and 2000, Receipts, 2002 and 2000. Sources: Employer firms—U.S. Small Business Administration, Office of Advocacy, ‘‘Statistics of U.S. Businesses and Nonemployer Statistics: Firm Size Data provided by U.S. Census Bureau’’; see Internet site , accessed 4 May 2005; Nonemployer establishments—U.S. Census Bureau, ‘‘Nonemployer Statistics,’’ annual; see Internet site . See explanations for A-46 in addition to the source for information on firms, employment, and payroll. The universe of nonemployer establishments is created annually in conjunction with identifying the Census Bureau’s employer business universe. If the Census Bureau receives information through administrative records that a business has no paid employees, then the business becomes part of the potential nonemployer universe. Name, address, industry classification, and receipts are available for each potential nonemployer establishment. These data are obtained chiefly from the annual business income tax returns filed with the Internal Revenue Service (IRS) and maintained in the Census Bureau’s Business Register (see notes for A-48 for explanations of Business Register). Table A-48. Private Nonfarm Establishments, Employment, and Payroll Establishments, 2002 and 2000, Net change, 2000–2002; By employment-size class of establishment, 2002, under 20, 20 to 99, 100 to 499, and 500 or more; A–36



Employment, 2002 and 2000, By employment-size class of establishment, 2002, under 20, 20 to 99, 100 to 499, and 500 or more; Annual payroll, 2002 and 2000. Source: U.S. Census Bureau, County Business Patterns, annual. See also Internet site . County Business Patterns (CBP) is an annual series that provides subnational economic data by industry. The series is useful for studying the economic activity of small areas; analyzing economic changes over time; and as a benchmark for statistical series, surveys, and databases between economic censuses. CBP covers most of the country’s economic activity. The series excludes data on self-employed individuals, employees of private households, railroad employees, agricultural production employees, and most government employees. CBP data are extracted from the Business Register, the Census Bureau’s file of all known single- and multiestablishment companies. The Annual Company Organization Survey and quinquennial economic censuses provide individual establishment data for multilocation firms. Data for single-location firms are obtained from various programs conducted by the Census Bureau, such as the economic censuses, the Annual Survey of Manufactures, and Current Business Surveys, as well as from administrative records of the Internal Revenue Service (IRS), the Social Security Administration (SSA), and the Bureau of Labor Statistics (BLS). An establishment is a single physical location at which business is conducted or where services or industrial operations are performed. It is not necessarily identical with a company or enterprise, which may consist of one establishment or more. When two or more activities are carried on at a single location under a single ownership, all activities generally are grouped together as a single establishment. The entire establishment is classified on the basis of its major activity and all data are included in that classification. Establishment counts represent the number of locations with paid employees at any time during the year. This series excludes governmental establishments except for wholesale liquor establishments, retail liquor stores, federally chartered savings institutions, federally chartered credit unions, and hospitals. Establishments without a fixed location or having an unknown county location within a state are included under a ‘‘statewide’’ geography classification. Paid employment consists of full- and part-time employees, including salaried officers and executives of corporations, who are on the payroll in the pay period including March 12. Included are employees on paid sick leave, holidays, and vacations; not included are proprietors and partners of unincorporated businesses. State and Metropolitan Area Data Book: 2006

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Total payroll includes all forms of compensation, such as salaries, wages, reported tips, commissions, bonuses, vacation allowances, sick-leave pay, employee contributions to qualified pension plans, and the value of taxable fringe benefits. For corporations, it includes amounts paid to officers and executives; for unincorporated businesses, it does not include profit or other compensation of proprietors or partners. Payroll is reported before deductions for social security, income tax, insurance, union dues, etc. Table A-49. Foreign Direct Investment in the United States, and U.S. Exports U.S. affiliates, Gross book value, 2002, 2001, 2000, and 1990; Employment, 2002, 2001, 2000, and 1990; U.S. exports, 2004, total exports, rank, and percent change, 2000–2004; 2003; and 2000; U.S. agricultural exports, 2004, 2003, and 2000. Sources: U.S. affiliates—U.S. Bureau of Economic Analysis, Survey of Current Business, August 2004 and prior issues; Foreign Direct Investment in the United States, Operations of U.S. Affiliates of Foreign Companies, annual; U.S. exports—U.S. Census Bureau, U.S. International Trade in Goods and Services, series FT-900, December issues. For most recent release, see (released 10 February 2005); U.S. agricultural exports— U.S. Department of Agriculture, Economic Research Service, U.S. Agricultural Trade database, Internet site (released 8 July 2005). Foreign direct investment data in the United States are based on a survey of operations of nonbank U.S. affiliates that are majority-owned by foreign direct investors. A U.S. affiliate is a U.S. business enterprise in which there is foreign direct investment; that is, in which a single foreign person owns or controls, directly or indirectly, 10 percent or more of the voting securities of an incorporated U.S. business enterprise. ‘‘Person’’ is broadly defined to include any individual, corporation, branch, partnership, associated group, association, estate trust, or other organization and any government. A ‘‘foreign person’’ is any person that resides outside the United States; that is, outside the 50 states, the District of Columbia, the Commonwealth of Puerto Rico, and all U.S. territories and possessions. The Census Bureau basic goods data are compiled from the documents collected by the U.S. Customs Service and reflect the movement of goods between foreign countries and the 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, and U.S. Foreign Trade Zones. They include government and nongovernment shipments of goods, and exclude shipments between the United States and its territories and possessions, transactions with U.S. State and Metropolitan Area Data Book: 2006

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military, diplomatic and consular installations abroad, U.S. goods returned to the United States by its armed forces, personal and household effects of travelers, and in-transit shipments. Exports are valued at the F.A.S. (free alongside ship) value of merchandise at the U.S. port of export, based on the transaction price including inland freight, insurance, and other charges incurred in placing the merchandise alongside the carrier at the U.S. port of exportation. For information on how these data were collected, see Appendix B. Data on the value of U.S. agricultural exports by state of production are not collected by U.S. Customs and Border Protection. Consequently, the Economic Research Service (ERS) estimates state shares of agricultural exports using custom district-level export data compiled by the Census Bureau and state-level agricultural production data supplied by the U.S. Department of Agriculture’s (USDA’s) National Agricultural Statistics Service (NASS). As noted below, these approximations are adjusted for exports of agricultural products for which NASS does not collect state-level production data. Using these approximations, a state that is the largest producer of an agricultural commodity will also account for the largest share of U.S. exports of that commodity. Countries of destination for each state’s exports cannot be determined. Table A-50. Farms and Farm Earnings Farms (USDA), 2004, 2003, and 2000; Land in farms, 2004, 2003, and 2000; Average acreage per farm, 2004, 2003, and 2000; Farm earnings (BEA), 2003, 2002, and 2000. Sources: Farms—U.S. Department of Agriculture, National Agricultural Statistics Service, Farm Numbers and Land in Farms, Final Estimates, 1998–2002; and Farms, Land in Farms, and Livestock Operations 2004 Summary, January 2005; Income—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site . A farm is any place from which $1,000 or more of agricultural products were produced and sold, or normally would have been sold, during the year. Government payments are included in sales. Ranches, institutional farms, experimental and research farms, and Indian Reservations are included as farms. Places with the entire acreage enrolled in the Conservation Reserve Program (CRP), Wetlands Reserve Program (WRP), or other government programs are counted as farms. Land in farms consists of agricultural land used for crops, pasture, or grazing. Also included is woodland and wasteland not actually under cultivation or used for pasture or grazing, provided it was part of the farm operator’s total operation. Land in farms includes acres in the Conservation Reserve, Wetlands Reserve Programs, or other government programs. Land in farms includes land owned A–37



and operated as well as land rented from others. Land used rent-free is included as land rented from others. All grazing land, except land used under government permits on a per-head basis, is included as land in farms provided it was part of a farm or ranch. Land under the exclusive use of a grazing association is reported by the grazing association and included as land in farms. All land in American Indian reservations used for growing crops or grazing livestock is included as land in farms. Land in reservations not reported by individual American Indians or non-Native Americans is reported in the name of the cooperative group that used the land. In many instances, the entire American Indian reservation is reported as one farm. Average acreage per farm was calculated by dividing the total land in farms for an area by the number of farms in that area. Farm earnings is comprised of the net income of sole proprietors, partners and hired laborers arising directly from the current production of agricultural commodities, either livestock or crops. It includes net farm proprietors’ income and the wages and salaries, pay-in-kind, and supplements to wages and salaries of hired farm laborers; but specifically excludes the income of nonfamily farm corporations. Table A-51. Farm Finances and Income Balance sheet of farming sector (USDA), Assets, 2003, 2002, and 2000; Debt, 2003, 2002, and 2000; Farm income (USDA), Value of agricultural sector production, 2003, 2002, and 2000; Value of production, 2003, per operation and per acre; Government payments, 2003 and 2000; Net farm income, 2003, 2002, and 2000; Net farm income, 2003, per operation and per acre. Source: U.S. Department of Agriculture, Economic Research Service, ‘‘Farm Income Summary Totals for 50 States’’; see Internet site , accessed 12 October 2004; ‘‘Farm Business Balance Sheet and Financial Ratios,’’ published 3 December 2004; see Internet site . The farm business balance sheet accounts assess the wealth of the farm sector. It contains only farm debt and assets, including farmland normally used to produce agricultural products. Farm business assets are those items of value that make up the farm firm. Assets include farm real estate assets, machinery and equipment, value of crops stored, livestock and poultry inventories, purchased inputs on hand, investments in cooperatives, and other financial assets such as cash and checkable deposits. A–38



Debt represents claims on the firm’s assets by lenders, lessors, and other creditors. Liabilities are obligations owed to those who provide debt capital to the farm firm. Only liabilities incurred by those involved in on-farm agricultural production are included in the balance sheet. Debt held by firms and individuals performing the input supply, processing, distributing, or marketing functions for farms are excluded from the balance sheet. Net farm income is that portion of the net value added by agriculture to the national economy earned by farm operators. Farm operators typically benefit most from the increases and assimilate most of the declines arising from short-term, unanticipated weather and market conditions. Net farm income is a value of production measure indicating the farm operators’ share of the net value added to the national economy within a calendar year, independent of whether it is received in cash or a noncash form such as increases/decreases in inventories and imputed rental for the farm operator’s dwelling. Table A-52. Farm Marketings and Principal Commodities Farm marketings, Total marketings, 2003, 2002, and 2000; Crops, 2003, 2002, and 2000; Livestock and products, 2003, 2002, and 2000; Principal commodities, 2003, top, 2nd, and 3rd. Source: U.S. Department of Agriculture, Economic Research Service, ‘‘Farm Income,’’ published 2 September 2004; see Internet site . Farm marketings represent quantities of agricultural products sold by farmers multiplied by prices received per unit of production at the local market. Information on prices received for farm products is generally obtained from surveys of firms (such as grain elevators, packers, and processors) purchasing agricultural commodities directly from producers. In some cases, the price information is obtained directly from the producers. Refer to the source for detailed information on farm income, including farm marketings and commodities. Table A-53. Agricultural Census Agriculture, Number of farms, 2002 and 1997; Land in farms, 2002 and 1997; Average size of farm, 2002 and 1997; Value of land and buildings, 2002 and 1997; 2002, Market value of agricultural products sold and government payments, total and products sold; Total number of farm operators; Farms by value of sales, less than $2,500, $2,500–$9,999, $10,000–$24,999, $25,000–$49,999, $50,000–$99,999, and $100,000 or more; Cropland. State and Metropolitan Area Data Book: 2006

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Source: U.S. Department of Agriculture, National Agricultural Statistics Service, 2002 Census of Agriculture, Vol. 1; see also . Refer to the notes for A-50 for explanations of farms, land in farms, and the average size of farms. Market value of agricultural products sold. This USDA National Agricultural Statistics Service category represents the gross market value before taxes and production expenses of all agricultural products sold or removed from the place in 2002 regardless of who received the payment. It is equivalent to total sales. It includes sales by the operators as well as the value of any shares received by partners, landlords, contractors, or others associated with the operation. The value of commodities placed in the Commodity Credit Corporation (CCC) loan program is included in this figure. Market value of agricultural products sold does not include payments received for participation in other federal farm programs. Also, it does not include income from farm-related sources such as customwork and other agricultural services, or income from nonfarm sources. The value of crops sold in 2002 does not necessarily represent the sales from crops harvested in 2002. Data may include sales from crops produced in earlier years and may exclude some crops produced in 2002 but held in storage and not sold. For commodities such as sugarbeets and wool sold through a co-op that made payments in several installments, respondents were requested to report the total value received in 2002. The value of agricultural products sold was requested of all operators. If the operators failed to report this information, estimates were made based on the amount of crops harvested, livestock or poultry inventory, or number sold. Caution should be used when comparing sales in the 2002 census with sales reported in earlier censuses. Sales figures are expressed in current dollars and have not been adjusted for inflation or deflation. The value of sales of some crops and of some livestock and animal specialties were asked separately in the 1997 census and were combined into categories in the 2002 census. Government payments consist of direct cash payments received by the farm operators in 2002. It includes disaster payments, loan deficiency payments from prior participation, payments from Conservation Reserve Programs (CRP), the Wetlands Reserve Programs (WRP), other conservation programs, and all other federal farm programs under which payments were made directly to farm operators. Commodity Credit Corporation (CCC) proceeds and federal crop insurance payments were not tabulated in this category. Operators represent the total reported number of operators on farms and ranches. The 2002 census was the first to ask for the total number of operators associated with State and Metropolitan Area Data Book: 2006

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an operation. An operator is a person who operates a farm, either doing the work or making day-to-day decisions. A family operation may have more than one operator. Table A-54. Natural Resource Industries and Minerals Natural resource industries, Establishments, 2002 and 2000; Number of employees, 2002 and 2000, Percent of all industries, 2002; Annual payroll, 2002 and 2000; Value of nonfuel mineral production, 2004, 2003, and 2000; Mineral fuels, 2003, Crude petroleum, quantity and value; Natural gas, quantity and value; Coal, quantity and value. Sources: Natural resource industries—U.S. Census Bureau, County Business Patterns, annual, see Internet site ; Nonfuel minerals—U.S. Geological Survey, Mineral Commodity Summaries, annual, see also ; Crude petroleum—U.S. Energy Information Administration, Petroleum Supply Annual, and Petroleum Marketing Annual, see Internet site ; Natural gas—U.S. Energy Information Administration, Natural Gas Annual, 2003, see Internet site ; Coal—U.S. Energy Information Administration, Annual Coal Report, 2003, see Internet site . Natural Resource Industries includes Agriculture, Forestry, Fishing and Hunting (NAICS 11), Mining (NAICS 21), Wood Product Manufacturing (NAICS 321), and Paper Manufacturing (NAICS 322). For general information on establishments, employment, and payroll, see the explanations for Table A-48. For detailed information on industry sectors and subsectors, see the General Notes for the North American Industry Classification System (NAICS). Both Wood Product Manufacturing and Paper Manufacturing are subsectors of Manufacturing. Nonfuel mineral production. The U.S. Geological Survey (USGS) collects information about the quantity and quality of all mineral resources. Long-term public and commercial planning must be based on the probability of discovering new deposits, on developing economic extraction processes for currently unworkable deposits, and on knowing which resources are immediately available. See the source listed for more detailed information on nonfuel mineral production. The U.S. Energy Information Administration (EIA) obtains data on crude petroleum through the Petroleum Supply Reporting System (PSRS). This system represents a family A–39



of data collection survey forms, data processing systems, and publication systems that have been consolidated to achieve comparability and consistency throughout. Natural gas is a gaseous mixture of hydrocarbon compounds, the primary one being methane. The EIA obtains data on natural gas using Survey Form EIA-895, ‘‘Monthly and Annual Quantity and Value of Natural Gas Production Report.’’ Coal is a readily combustible black or brownish-black rock whose composition, including inherent moisture, consists of more than 50 percent by weight and more than 70 percent by volume of carbonaceous material. The EIA obtains data on coal using the U.S. Department of Labor, Mine Safety and Health Administration, Form 7000-2, ‘‘Quarterly Mine Employment and Coal Production Report’’ and Energy Information Administration Form EIA-7A, ‘‘Coal Production Report.’’ Table A-55. Utilities Private utilities, Establishments, 2002 and 2000; Number of employees, 2002 and 2000, Percent of all industries, 2002; Annual payroll, 2002 and 2000; Water systems, 2004, Number of systems, total, community, nontransient noncommunity, and transient noncommunity; Population served, total, community, nontransient noncommunity, and transient noncommunity; Gas utilities, Customers, 2003, all customers and residential; 2002; and 2000; Sales, 2003, all customers and residential; 2002; and 2000; Prices, 2003, all customers and residential; Electric industry, Net generation, 2003, 2002, and 2000; Generation by selected major source, 2003, percent, coal, petroleum, natural gas, nuclear, and hydroelectric; Net summer capacity, 2003, 2002, and 2000; Sales to customers, 2003, all customers and residential; 2002; and 2000; Prices, 2003, all customers and residential. Sources: Private utilities—U.S. Census Bureau, County Business Patterns, annual, see Internet site ; Water systems—Environmental Protection Agency, FACTOIDS: Drinking Water and Ground Water Statistics, 2004; see Internet site ; Gas utilities—American Gas Association, Arlington, VA, Gas Facts, annual (copyright); Electric industry—U.S. Energy Information Administration, Electric Power Annual, 2003, and previous editions; see also Internet site A–40



(accessed 1 June 2005); and Electric Sales and Revenue 2003, and previous editions; see also Internet site (issued January 2005). Private utilities. Refer to General Notes to see information on the Private utilities industry defined using the North American Industry Classification System (NAICS). See the notes and explanations for Table A-16 for information on establishments, employees, and payroll. Data on water systems are obtained by the Environmental Protection Agency through the Safe Drinking Water Information System/Federal Version (SDWIS/FED), a database designed and implemented to meet the EPA’s needs in the oversight and management of the Safe Drinking Water Act (SDWA). The database contains data submitted by states and EPA regions in conformance with reporting requirements established by statute, regulation, and guidance. Community systems include any public water system that supplies water to the same population yearround. Nontransient noncommunity systems include any public water system that regularly supplies water to at least 25 of the same people at least 6 months per year, but not year-round. Transient noncommunity systems include any public water system that provides water in a place such as a gas station or a campground where people do not remain for long periods of time. Gas utilities are companies that are primarily distributors of natural gas to ultimate customers in a given geographic area. Utility gases include natural gas, manufactured gas, synthetic gas, liquefied petroleum gas-air mixture, or mixtures of any of these gases. The term customer refers to an individual, firm, or organization that purchases service at one location under one rate classification, contract, or rate schedule. If service is supplied at more than one location or under more than one rate schedule, each location and rate schedule is counted as a separate customer unless the consumption at the several locations is combined before billing and billed on one rate schedule. Electric industry. Net generation is the gross generation minus plant use from all electric utility-owned plants. The energy required for pumping at a pumped-storage plant is regarded as plant use and must be deducted from the gross generation. Net summer capacity refers to the steady hourly output, which generating equipment is expected to supply to system load exclusive of auxiliary power, as demonstrated by tests at the time of summer peak demand. Sales include the amount of kilowatt-hours sold in a given period of time; they are usually grouped by classes of service, such as residential, commercial, industrial, and other. Other sales include public street and highway lighting, other sales to public authorities and railways, and interdepartmental sales. State and Metropolitan Area Data Book: 2006

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Table A-56. Energy Consumption Energy consumption, 2001, 2000, and 1990, Per capita, 2001; Percent change, 1990–2001; End-use sector, 2001, residential, commercial, industrial, and transportation; Selected source, 2001, petroleum, natural gas, coal, hydroelectric power, and nuclear electric power. Source: U.S. Energy Information Administration, State Energy Data 2001 (formerly State Energy Data Report), Internet site (released December 2004). Energy consumption is the use of energy as a source of heat or power or as an input in the manufacturing process. Data on energy consumption are from the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). This goal in maintaining SEDS is to create historical time series of energy consumption, prices, and expenditures by state that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide state energy consumption, price, and expenditure estimates to members of Congress, federal and state agencies, and the general public and (2) to provide the historical series necessary for EIA’s energy models. Table A-57. Energy Expenditures Current dollars, 2001, 2000, and 1990, Per capita, 2001; Percent change, 1990–2001; Constant (2000) dollars, 2001, 2000, and 1990; End-use sector, 2001, residential, commercial, industrial, and transportation; Selected source, 2001, Petroleum product, total and motor gasoline; Natural gas; Coal; Electric purchasers. Source: Except as noted, U.S. Energy Information Administration, State Energy Price and Expenditure Report, annual. See also . Energy expenditures refer to the money directly spent by consumers to purchase energy. Expenditures equal the amount of energy used by the consumer times the price per unit paid by the consumer. In the calculation of the amount of energy used, process fuel and intermediate products are not included. Data on energy expenditures are from the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). For more information about the SEDS, see the explanation for Table A-56. State and Metropolitan Area Data Book: 2006

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Table A-58. Construction Construction, Nonfarm employment, 2004, 2003, and 2000; Earnings, 2004, 2003, and 2001; Value of construction contracts, 2004, 2003, 2002, 2001, 2000, and 1990; New private housing units authorized by building permits, 2004, 2003, 2002, and 2000. Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site ; Value of construction—McGraw-Hill Construction Dodge, a Division of the McGraw-Hill Companies, New York, NY (copyright); New housing units—U.S. Census Bureau, Construction Reports, Series C40, Building Permits, monthly; publication discontinued in 2001. See Internet site and New Residential Construction, monthly. Construction. Refer to General Notes to see information on the Construction industry defined using the North American Industry Classification System (NAICS). Data for employment are based on the Current Employment Statistics (CES) survey of payroll records covering over 390,000 businesses on a monthly basis. Employment is defined as the total number of persons on establishment payrolls employed full- or part-time who received pay for any part of the pay period, which includes the 12th day of the month. Temporary and intermittent employees are included, as are any workers who are on paid sick leave, on paid holiday, or who work during only part of the specified pay period. A striking worker who only works a small portion of the survey period, and is paid, would be included as employed under the CES definitions. Persons on the payroll of more than one establishment are counted in each establishment. Data exclude proprietors, self-employed, unpaid family or volunteer workers, farm workers, and domestic workers. Persons on layoff the entire pay period, on leave without pay, on strike for the entire period, or who have not yet reported for work are not counted as employed. Earnings data are based on the Regional Economic Information System. Earnings are defined as the sum of wage and salary disbursements, supplements to wages and salaries, and proprietors’ income. Value of construction contracts includes new structures and additions. The data represent values of construction in states in which the work was actually done. Refer to the source for information about the data and methodology used to obtain the data. A–41



Statistics on housing units authorized by building permits include housing units issued in local permitissuing jurisdictions by a building or zoning permit. Not all areas of the country require a building or zoning permit. The statistics only represent those areas that do require a permit. Current surveys indicate that construction is undertaken for all but a very small percentage of housing units authorized by building permits. A major portion typically gets under way during the month of permit issuance and most of the remainder begin within the three following months. Because of this lag, the housing unit authorization statistics do not represent the number of units actually put into construction for the period shown, and should therefore not be directly interpreted as ‘‘housing starts.’’ Table A-59. Manufactures Nonfarm employment (BLS), 2004, 2003, 2002, 2001, and 2000; Earnings (BEA), 2004, 2003, 2002, and 2001; Establishments, 2002 and net change 2000–2002; Average hourly earnings of production workers, 2003, 2002, and 2001; Value of shipments, 2003, 2002, 2001, and 2000. Sources: Employment and average hourly earnings—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site ; Establishments—U.S. Census Bureau, County Business Patterns, annual, see Internet site ; Value of shipments— U.S. Census Bureau, Annual Survey of Manufactures, Geographic Area Statistics, series M03(AS)-3 and earlier reports, see Internet site (released May 2005); and 2002 Economic Census, Manufacturing, Geographic Area Series, see also (issued September 2005). Manufactures. Refer to General Notes to see information on the Manufacturing industry defined using the North American Industry Classification System (NAICS). See the notes and explanations for Table A-58 for information on employment and earnings and Table A-16 for information on establishments. Average hourly earnings are on a ‘‘gross’’ basis. They reflect not only changes in basic hourly and incentive wage rates, but also such variable factors as premium pay for overtime and late-shift work and changes in output of workers paid on an incentive plan. Included is pay for overtime, vacations, holidays, and sick leave. Bonuses, commissions, and other types of noncash payments are excluded unless they are earned and paid regularly (at least once a month). Employee benefits paid by the employers, as well as payments-in-kind, are excluded. A–42



Value of shipments includes the received or receivable net selling values, free on board plant (exclusive of freight and taxes), of all products shipped, both primary and secondary, as well as all miscellaneous receipts, such as receipts for contract work performed for others, installation and repair, sales of scrap, and sales of products bought and sold without further processing. Included are all items made by or for the establishments from material owned by it, whether sold, transferred to other plants of the same company, or shipped on consignment. The net selling value of products made in one plant on a contract basis from materials owned by another was reported by the plant providing the materials. In the case of multiunit companies, the manufacturer was requested to report the value of products transferred to other establishments of the same company at full economic or commercial value, including not only the direct cost of production but also a reasonable proportion of ‘‘all other costs’’ (including company overhead) and profit. Table A-60. Manufactures Summary and Export-Related Shipments and Employment Manufactures summary, 2003, All employees, Number; Net change, 2000–2003; Payroll, total and per employee; Production workers, total, hours, and wages; Value added by manufactures, total and per production worker; Value of shipments; Export-related, 2001, Export-related shipments; Export-related manufacturing employment; Export-related as percent of all manufacturers, shipments and employment. Sources: Manufactures summary—U.S. Census Bureau, Annual Survey of Manufactures, Geographic Area Statistics, Series M03(AS)-3. See also (released May 2005); Export-related—U.S. Census Bureau, Exports from Manufacturing Establishments: 2001, Series AR(01)-1, see Internet site (released July 2004). The all employees number is the average number of production workers plus the number of other employees in mid-March. Included are all persons on paid sick leave, paid holidays, and paid vacations during the pay period. Officers of corporations are included as employees; proprietors and partners of unincorporated firms are excluded. Payroll includes all forms of compensation such as salaries, wages, commissions, bonuses, vacation allowances, sick-leave pay, and the value of payments in kind (e.g., State and Metropolitan Area Data Book: 2006

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free meals and lodgings paid during the year to all employees). Tips and gratuities received by employees from patrons and reported to employers are included. For corporations, it includes amounts paid to officers and executives; for unincorporated businesses, it does not include profit or other compensation of proprietors or partners. Payroll is reported before deductions for social security, income tax, insurance, union dues, etc. Production workers include workers (up through the line-supervisor level) engaged in fabricating, processing, assembling, inspecting, receiving, storing, handling, packing, warehousing, shipping (but not delivering), maintenance, repair, janitorial and guard services, product development, auxiliary production for plant’s own use (e.g., power plant), recordkeeping, and other services closely associated with these production operations. Not included in this classification are all other employees, defined as nonproduction employees, including those engaged in factory supervision above the line-supervisor level. Value added by manufacture is a measure of manufacturing activity derived by subtracting the cost of materials, supplies, containers, fuel, purchased electricity, and contract work from the value of shipments (products manufactured plus receipts for services rendered). The result of this calculation is adjusted by the addition of value added by merchandising operations (i.e., the difference between the sales value and cost of merchandise sold without further manufacture, processing, or assembly) plus the net change in finished goods and work-inprocess between the beginning- and end-of-year inventories. Value added avoids the duplication in the figure for value of shipments that results from the use of products of some establishments as materials by others. Value added is considered to be the best value measure available for comparing the relative economic importance of manufacturing among industries and geographic areas. Export-related data are based on tabulations of data from 3 sources: the 2001 Annual Survey of Manufactures, the Census Bureau’s 2001 edition of U.S. International Trade in Goods and Services, and the Bureau of Economic Analysis’ Input-Output (I/O) Accounts of the U.S. Economy for 1992. To provide a means for using these different sources on a comparable basis required substantial manipulations and conversions. For example, each of these sources uses a different classification scheme (NAICS for the economic census, manufacturing sector, the harmonized system for the exports of merchandise, and the SIC for I/O accounts). The I/O accounts originate from 1992 data. Thus, a host of conversions and adjustments were used. The user should bear in mind that each of these conversions and adjustments is imperfect, and a potential source of error in the figures presented. Refer to the source for further discussion of methodology. State and Metropolitan Area Data Book: 2006

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Table A-61. Major Manufacturing Sectors: 2003 Apparel and textiles, Employment, total, percent of total percent change, 2000–2003; Value of shipments; Machinery, Employment, total, percent of total percent change, 2000–2003; Value of shipments; Computer and electronic products, Employment, total, percent of total percent change, 2000–2003; Value of shipments; Motor vehicle and parts, Employment, total, percent of total percent change, 2000–2003; Value of shipments.



manufacturing, and



manufacturing, and



manufacturing, and



manufacturing, and



Source: U.S. Census Bureau, Annual Survey of Manufactures, Geographic Area Statistics, Series M03(AS)-3 (released May 2005) and Series M00(AS)-3RV (issued September 2002); see also Internet site . Refer to General Notes to see information on the Manufacturing industry and major sectors defined using the North American Industry Classification System (NAICS). See the notes and explanations for Table A-60 for information on employment and value of shipments. Table A-62. Wholesale and Retail Trade and Shopping Centers Wholesale and retail nonfarm employment (BLS), 2004, 2003, and 2000; Wholesale trade, Earnings (BEA), 2004 and 2001; Establishments, 2002 and net change, 2000–2002; Retail trade, Earnings (BEA), 2004 and 2001; Establishments, 2002 and net change, 2000–2002; Shopping centers, Retail sales, 2004 and 2000; Retail sales per square foot, 2004 and 2000. Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site ; Establishments—U.S. Census Bureau, County Business Patterns, annual, see Internet site ; Shopping centers—National Research Bureau, Chicago, IL. Data for 1995–2004 published by International Council of Shopping Centers in Shopping Centers Today, April issues (copyright, Trade Dimensions International, Inc.). A–43



Wholesale and retail trade. Refer to General Notes to see information on the Wholesale Trade and Retail Trade industries defined using the North American Industry Classification System (NAICS). See the notes and explanations for Table A-58 for information on employment and earnings and Table A-16 for information on establishments. Shopping centers. Data on shopping centers are provided by the International Council of Shopping Centers (ICSC), the global trade association of the shopping center industry. Refer to the source for explanations of the data. Table A-63. Retail Sales All retail stores, 2004, 2003, and 2001; Sales per household, 2004, 2001, and percent change, 2003–2004; Food and beverage stores, 2004 and 2003; General merchandise stores, Total, 2004 and 2003; Department stores, 2004 and 2003; Motor vehicle and parts dealers, 2004 and 2003; Food services and drinking places, 2004 and 2003; Total retail sales plus food and drink, 2004 and 2003; Furniture and home furnishings, 2004 and 2003; Electronics and appliances, 2004 and 2003; Building and material supply, 2004 and 2003; Health and personal care, 2004 and 2003; Gasoline stations, 2004 and 2003; Clothing and clothing accessories, 2004 and 2003; Sporting goods, hobby, book and music stores, 2004 and 2003; Miscellaneous stores, 2004 and 2003; Nonstore retailers, 2004 and 2003. Source: Market Statistics, a division of Claritas Inc., Arlington, VA, The Survey of Buying Power Data Service, annual (copyright). Refer to General Notes to see information on the Retail Trade industry defined using the North American Industry Classification System (NAICS). For more detailed information on subsectors of the Retail Trade industry, see the list of codes with definitions at Internet site . Table A-64. Transportation and Warehousing Transportation and warehousing, Nonfarm employment (BLS), 2004, 2003, and 2000; Earnings (BEA), 2004, 2003, and 2001; Establishments, 2002 and net change, 2000–2002; Vehicle miles of travel, 2003 and 2001; Commodity shipments, 2002 and 1997; Railroad shipments, 2002 and 2001; Waterborne shipments, 2002 and 2001. Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. A–44



Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site ; Establishments—U.S. Census Bureau, County Business Patterns, annual, see Internet site ; Vehicle miles of travel—U.S. Federal Highway Administration, Highway Statistics, annual, see Internet site ; Commodity shipments—U.S. Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census, Transportation, Commodity Flow Survey, Individual State Reports, issued December 2004, see Internet site . Data for the District of Columbia are on the CD-ROM; Railroad and waterborne shipments—U.S. Bureau of Transportation Statistics, State Transportation Statistics 2004 and previous years, see Internet site . Transportation and warehousing. Refer to General Notes to see information on the Transportation and Warehousing industry defined using the North American Industry Classification System (NAICS). See the notes and explanations for Table A-58 for information on employment and earnings and Table A-16 for information on establishments. Vehicle miles of travel data are collected by the Federal Highway Administration (FHWA). Vehicle miles of travel are miles of travel by all types of motor vehicles as determined by the states on the basis of actual traffic counts and established estimating procedures. Commodity shipment data are provided from the Department of Transportation/Department of Commerce, Commodity Flow Survey (CFS) Program. This survey is designed to provide data on the flow of goods and materials by mode of transport. A sample of 50,000 establishments engaging in mining, manufacturing, wholesale trade, and selected auxiliary establishments (warehouses) of in-scope multiunit and retail companies was used to collect data for the 2002 commodity survey. The 1997 survey used a sample of 100,000 establishments. Railroad shipment data are developed by the Association of American Railroads (AAR) from the Surface Transportation Board’s Carload Waybill Sample. The sample contains detailed information on the origination and termination of carloads by commodity and carrier for virtually all U.S. freight railroads. Normal statistical variations and limited sampling of very small railroads may cause limited distortions. Waterborne shipment data are compiled by the U.S. Army Corps of Engineers and include detailed data on the movements of vessels and commodities at the ports and harbors on the waterways and canals of the United States and its territories. Data on foreign commerce are supplied to the Corps of Engineers by the Census Bureau, U.S. Customs, and purchased from the Journal of Commerce, Port State and Metropolitan Area Data Book: 2006

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Import Export Reporting Service. The tonnage figures of shipments represent short tons (2,000 pounds). Table A-65. Trucks Registered and Commodity Transportation All trucks, 2002, 1997, and percent change, 1997–2002; Pick-ups, 2002, 1997, and percent change, 1997–2002; SUVs, 2002, 1997, and percent change, 1997–2002; Minivans, 2002, 1997, and percent change, 1997–2002; Commodity transportation, 2002, Shipments, value and weight; Percent going out of state, value and weight. Source: Trucks, pick-ups, SUVs, and minivans—U.S. Census Bureau, 2002 Economic Census, Vehicle Inventory and Use Survey, Geographic Area Series, issued December 2004, see Internet site ; Commodity transportation—U.S. Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census, Transportation, Commodity Flow Survey, issued December 2004, see Internet site . Data for the District of Columbia are on the CD-ROM. Data for trucks are based on data from the Vehicle Inventory and Use Survey and administrative records. The survey covers private and commercial trucks registered (or licensed) in the United States as of July 1 of the survey year. The survey excludes vehicles owned by federal, state, or local governments; ambulances; buses; motor homes; farm tractors; unpowered trailer units; and trucks reported to have been sold, junked, or wrecked prior to January 1 of the survey year. Commodity transportation data are provided from the Department of Transportation/Department of Commerce, Commodity Flow Survey (CFS) Program. This survey is designed to provide data on the flow of goods and materials by mode of transport. A sample of 50,000 establishments engaging in mining, manufacturing, wholesale trade, and selected auxiliary establishments (warehouses) of in-scope multiunit and retail companies was used to collect data. The percent of shipments going out of state was calculated by subtracting the shipments within the state from the total number of shipments and then dividing this number by total shipments. Table A-66. Motor Vehicle Registrations, Motorcycle Registrations, Highway Mileage, Bridges, and Driver’s Licenses Motor vehicle registrations, 2003, Number, total, automobile, and trucks; Rate per 1,000 persons; 2000, number and rate per 1,000 persons; Motorcycle registrations, 2003 and 2000; State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Highway mileage, 2003, total, interstate, other arterial, collector, and local; Bridges, 2004, number and number deficient and obsolete; Driver’s licenses, 2003 and 2000. Sources: Registrations, highway mileage, and driver’s licenses—U.S. Federal Highway Administration, Highway Statistics, annual, see Internet site ; Bridges—U.S. Federal Highway Administration, Office of Bridge Technology, see Internet site . Vehicle registration data are collected by the Federal Highway Administration (FHWA) from state motor vehicle registration agencies. Accordingly, registration practices and dates do vary; data presented here are as near to a calendar-year basis as possible. Total highway mileage includes roads and streets in the functional systems, which are assigned to groups according to the character service they are intended to provide. The functional systems are (1) arterial highways that generally handle the long trips, (2) collector facilities that collect and disperse traffic between the arterials and the lower systems, and (3) local roads and streets that primarily serve direct access to residential areas. The Interstate System connects, as directly as practicable, the nation’s principal metropolitan areas, cities, and industrial centers; serves the national defense; and connects at suitable border points with routes of continental importance. Arterial highways include those roads that generally handle the long trips. Collectors collect and disperse traffic between the arterials and the bottom system. Local roads and streets serve the residential areas, individual farms, and other local areas. Driver’s licenses. Each state and the District of Columbia administers its own driver licensing system. Since 1954, all states have required drivers to be licensed, and since 1959, all states have required examination prior to licensing. Tests of knowledge of state driving laws and practices, vision, and driving proficiency are now required for new licensees. Data on bridges are based on the National Bridge Inventory (NBI). The NBI is a compilation of data supplied by states as required by the National Bridge Inspection Standards for bridges located on public roads. The database is maintained in a format prescribed by the Recording and Coding Guide for the Structure Inventory and Appraisal of the Nation’s Bridges. Bridges are structurally deficient if they have been restricted to light vehicles, require immediate rehabilitation to remain open, or are closed. Bridges are functionally A–45



obsolete if they have deck geometry, load-carrying capacity, clearance or approach roadway alignment that no longer meet the criteria for the system of which the bridge is carrying a part. Table A-67. Traffic Fatalities and Shoulder Belt Use Traffic fatalities, 2003, 2002, and 2000; Fatality rate, 2003, 2002, and 2000; Persons killed in alcohol-related crashes, 2003 and 2002; Percent of all persons killed in crashes, 2003 and 2002; By highest BAC in crash, 0.01 to 0.07, 2003 and 2002; 0.08 or more, 2003 and 2002; Percent of drivers and passengers in the front right seat using safety belts, 2004, 2003, and 2001. Source: Traffic fatalities and persons killed in alcoholrelated crashes—U.S. National Highway Traffic Safety Administration, Traffic Safety Facts, annual, see Internet site ; Safety belts—U.S. Department of Transportation, National Highway Traffic Safety Administration, Safety Belt Use in 2004—Use Rates in the States and Territories, Washington, DC: November 2004, see Internet site . Traffic fatalities. The National Highway Traffic Safety Administration (NHTSA) has a cooperative agreement with an agency in each state’s government to provide information on all qualifying fatal crashes in the state. These agreements are managed by regional contracting Officer’s Technical Representatives located in the 10 NHTSA regional offices. A fatal crash involves a motor vehicle in transport on a trafficway in which at least one person dies within 30 days of the crash. Traffic fatality rate is per 100 million vehicle miles traveled. NHTSA defines a fatal crash as alcohol related if either a driver or a nonmotorist (usually a pedestrian) had a measurable or estimated Blood Alcohol Concentration (BAC) of 0.01 grams per deciliter or above. BAC is measured as a percentage by weight of alcohol in the blood (grams/deciliter). A positive BAC level (0.01 g/dl and higher) indicates that alcohol was consumed by the person tested; a BAC level of 0.01 to 0.07 g/dl indicates that the person was impaired; a BAC level of 0.08 g/dl or more indicates that the person was intoxicated. Safety belt use. Data for states are based on observational surveys conducted in accordance with Section 157, Title 23, U.S. Code. For national figures, data are based on the National Occupant Protection Use Survey (NOPUS). Motorists observed in the survey were counted as ‘‘belted’’ if they appeared to have a shoulder belt across the front of their body. A–46



Table A-68. Communications Percent of households with telephones, 2004 and 1984; Mobile wireless telephone subscribers, 2004 and 2000; Percent of— Households with computers, 2003 and 1998; Households with Internet access, 2003 and 1998; High-speed telecommunication lines, 2004 and 2000; By type of users, 2004, residential and small business and other; Telecommunications revenue, 2003 and 2000. Sources: Households with telephones—Federal Communications Commission, Telephone Subscribership in the United States (released March 2005), see Internet site ; Mobile wireless subscribers—Federal Communications Commission, Local Telephone Competition: Status as of December 31, 2004 (released July 2005), see Internet site ; Households with computers and Internet—U.S. Department of Commerce, National Telecommunications and Information Administration, Falling through the Net: Defining the Digital Divide, July 1999, and A Nation Online, 2004; High-speed lines— Federal Communications Commission, High-Speed Services for Internet Access: Status as of December 31, 2004 (released July 2005), see Internet site ; Revenue—Federal Communications Commission, Trends in Telephone Service 2005 (released June 2005), see Internet site . The Federal Communications Commission (FCC) provides data for households with telephones, computers, and Internet access based on the Current Population Survey (CPS) conducted by the Census Bureau. The CPS is a nationwide monthly survey of civilian noninstitutional population 15 years old and over that uses a sample of 60,000. The FCC’s local competition and broadband data gathering program collects data on mobile wireless telephone subscribership and high-speed connections from telecommunications carriers twice a year using FCC Form 477. Highspeed lines are connections that deliver services at speeds exceeding 200 kilobits per second (kbps) in at least one direction. Revenue. Beginning in 1993, the FCC required all carriers with interstate revenues to begin filing an annual Telecommunications Relay Service (TRS) Fund Worksheet. Because revenues derived from providing access to the interstate network are considered to be interstate, virtually all carriers were required to file information. The FCC Form 499-A Telecommunications Reporting Worksheet was introduced on April 1, 2000. Beginning in 2001, many telecommunications providers also had to file the quarterly FCC Form 499-Q. State and Metropolitan Area Data Book: 2006

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Table A-69. Information Industries and Newspapers Information industries, Nonfarm employment (BLS), 2004, 2003, and 2000; Earnings (BEA), 2004, 2003, and 2001; Establishments, 2002 and net change, 2000–2002; Daily newspapers, 2004 and 2000; Net paid circulation, 2004 and 2000; Circulation, per capita, 2004 and 2000. Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site ; Establishments—U.S. Census Bureau, County Business Patterns, annual, see Internet site ; Newspaper—Editor & Publisher Co., New York, NY, Editor & Publisher International Year Book, annual (copyright). Information industries. Refer to General Notes to see an explanation of the Information industry defined using the North American Industry Classification System (NAICS). See the notes and explanations for Table A-58 for information on employment and earnings and Table A-16 for information on establishments. Data on daily newspapers are provided by Editor & Publisher Co. These data are for English-language newspapers only. Circulation figures are based on the principal community served by a newspaper, which is not necessarily the same location as the publisher’s office. Refer to the source for more information. Table A-70. Financial Activities Financial activities, Nonfarm employment (BLS), 2004, 2003, and 2000; Earnings (BEA), 2004, 2003, and 2001; Establishments, 2002 and net change, 2000–2002; FDIC-insured financial institutions, Number of institutions, 2004 and 2000; Assets, Total, 2004 and 2000; By asset-size of bank, 2004, less than $1 bil., $1 bil. to $10 bil., and greater than $10 bil.; Number of offices, 2004 and 2000; Deposits, 2004 and 2000; Credit unions, Number, 2004 and 2000; Assets, 2004 and 2000; Average insurance premium, 2002, renters and homeowners; Life insurance, 2003, total payments, death payments, and annuity payments; Automobile insurance—average expenditures per insured vehicle, 2002 and 2000. State and Metropolitan Area Data Book: 2006

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Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site ; Establishments—U.S. Census Bureau, County Business Patterns, annual; Credit unions— National Credit Union Administration, Yearend Statistics for Federally Insured Credit Unions, annual, see Internet site ; FDIC-insured financial institutions number and assets—U.S. Federal Deposit Insurance Corporation, Statistics on Banking, annual; FDIC-insured financial institutions offices and deposits— U.S. Federal Deposit Insurance Corporation, Bank and Thrift Branch Office Data Book, annual; Insurance premiums—National Association of Insurance Commissioners (NAIC), Kansas City, MO, Dwelling Fire, Homeowners Owner-Occupied, and Homeowners Tenant and Condominium/Cooperative Unit Owners Insurance, annual (copyright). Reprinted with permission of the NAIC. Further reprint or distribution strictly prohibited without prior written permission of the NAIC; Life insurance—American Council of Life Insurers, Washington, DC, Life Insurers Fact Book, biennial (copyright); Automobile insurance—National Association of Insurance Commissioners (NAIC), Kansas City, MO, Auto Insurance Database Report, annual (copyright). Reprinted with permission of the NAIC. Further reprint or distribution strictly prohibited without prior written permission of the NAIC. Financial activities. Refer to General Notes to see information on the Finance and Insurance industry and Real Estate and Rental and Leasing industry defined using the North American Industry Classification System (NAICS). See the notes and explanations for Table A-58 for information on employment and earnings and Table A-16 for information on establishments. FDIC-insured financial institutions includes both FDICinsured commercial banks and FDIC-insured savings institutions. The category of FDIC-insured commercial banks includes all commercial banks insured by the Federal Deposit Insurance Corporation (FDIC) either through the Bank Insurance Fund (BIF) or through the Savings Association Insurance Fund (SAIF). These institutions are regulated by and submit financial data to one of the three federal commercial bank regulators. The category of FDIC-insured savings institutions includes all institutions insured by either the FDIC Savings Association Insurance Fund (SAIF) operating under state or federal banking codes applicable to thrift institutions. These institutions are regulated by and submit financial data to the Office of Thrift Supervision or the FDIC. A credit union is a not-for-profit financial institution owned and operated by its members. Each credit union serves the specific field of membership it decides upon. Members share a common bond such as being employed A–47



by the same employer, belonging to an organization or church, or living in the same community. Credit unions offer a variety of financial services and products, including savings, loans, check cashing, wire transfers, and financial counseling. Credit union data are collected by the National Credit Union Administration (NCUA) using the Yearend Call Report. The National Association of Insurance Commissioners (NAIC) publishes data on insurance premiums for renters and homeowners. Average premium equals premiums divided by exposure per house-years. A house-year is equal to 365 days of insured coverage for a single dwelling and is the standard measurement for homeowners insurance. Renters insurance premiums are based on HO-4 renters insurance policy for tenants. It includes broad named-peril coverage for the personal property of tenants. Homeowners insurance premiums are based on the HO-3 homeowner package policy for owner-occupied homes. This policy provides ‘‘all risks’’ coverage (except those specifically excluded in the policy) on buildings and broad named-peril coverage on personal property. The HO-3 homeowner package policy is the most common package written. The NAIC also publishes data on automobile insurance. The average expenditure per insured vehicle equals total premiums written divided by liability car-years. A car-year is equal to 365 days of insured coverage for a single vehicle. The average expenditures for automobile insurance in a state are affected by a number of factors, including the underlying rate structure, the coverages purchased, the deductibles and limits selected, the types of vehicles insured, and the distribution of driver characteristics. Life insurance. The American Council of Life Insurers (ACLI) publishes life insurance data by tabulating NAIC statutory data. Annuity refers to a financial contract that offers tax-deferred savings and a choice of payout options to meet the owner’s income needs in retirement: income for life, income for a certain period of time, or a lump sum. Table A-71. Professional and Business Services and Education and Health Services Professional and business services, Nonfarm employment (BLS), 2004, 2003, and 2000; Earnings (BEA), 2004, 2003, and 2001; Establishments, 2002 and net change, 2000–2002; Education and health services, Nonfarm employment (BLS), 2004, 2003, and 2000; Earnings (BEA), 2004, 2003, and 2001; Establishments, 2002 and net change, 2000–2002. Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. A–48



Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site ; Establishments—U.S. Census Bureau, County Business Patterns, annual, see Internet site . Professional and Business Services includes Professional, Scientific and Technical Services; Management of Companies and Enterprises; and Administrative and Support and Waste Management and Remediation Services. Education and Health Services includes Educational Services and Health Care and Social Assistance. Refer to General Notes to see information on the above industries defined using the North American Industry Classification System (NAICS). See the notes and explanations for Table A-58 for information on employment and earnings and Table A-16 for information on establishments. Table A-72. Leisure and Hospitality Services Arts, entertainment, and recreation services, Nonfarm employment (BLS), 2004, 2003, and 2000; Earnings, 2004, 2003, and 2001; Establishments, 2002, and net change, 2000–2002; Accommodation and food services, Nonfarm employment (BLS), 2004, 2003, and 2000; Earnings (BEA), 2004, 2003, and 2001; Establishments, 2002, and net change, 2000–2002. Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, see Internet site ; Establishments—U.S. Census Bureau, County Business Patterns, annual, see Internet site . Refer to General Notes to see information on Arts, Entertainment, and Recreation Services and Accommodation and Food Services industries defined using the North American Industry Classification System (NAICS). See the notes and explanations for Table A-58 for information on employment and earnings and Table A-16 for information on establishments. Table A-73. Travel and Tourism Indicators Domestic travel expenditures, 2003, 2002, and 2001; Impact of international travel on state economy, Travel expenditures, 2003 and 2001; Travel-generated employment, 2003 and 2001; Travel-generated tax receipts, 2003 and 2001; Overseas visitors to the state, 2003 and 2000; Visitors to— National parks, 2003 and 2000; State parks, 2003 and 2000. Sources: Domestic travel and impact of international travel—Travel Industry Association of America, Washington, DC, Impact of Travel on State Economies, annual State and Metropolitan Area Data Book: 2006

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(copyright), see Internet site ; Overseas visitors to the state—International Trade Administration, U.S. Department of Commerce, ‘‘Overseas Visitors to Select U.S. States and Territories 2003–2004’’ and previous years, Internet site ; National parks—National Park Service, Public Use Statistics Office, National Park Service Statistical Abstract, annual, see also Internet site ; State parks—National Association of State Park Directors, Annual Information Exchange, see Internet site . Data on domestic travel expenditures represent U.S. spending on domestic overnight trips and day trips of 50 miles or more, one way, away from home. This excludes spending by foreign visitors and by U.S. residents in U.S. territories and abroad. Data include travelers’ expenditures in Indian casino gaming. The International Trade Administration collects data on overseas visitors to the state using the Survey of International Air Travelers (In-Flight Survey) Program and the Visitors Arrival Program (I-94 Form). The In-Flight Survey is a monthly survey of international air travelers to and from the United States. The program is a public/private partnership between the government and airlines to collect information on the international travel market. The I-94 Form must be completed by all U.S. noncitizens to enter the United States. Canadian and some Mexican citizens are exempt. Data include travelers for business and pleasure, international travelers in transit from the United States, and students. Data exclude travel by international personnel and international businessmen employed in the United States. Visitors to national parks. A visit is defined as the entry of any person, except National Park Service (NPS) personnel, onto lands or waters administered by the NPS. A visit may occur as a recreation visit or a nonrecreation visit. A same-day reentry, negligible transit, and an entry to a detached portion of the same park on the same day are considered to be a single visit. Visits are reported separately for two contiguous parks. Data on visitors to state parks are collected by the National Association of State Park Directors (NASPD), composed of 50 state park directors. In some states, park agency has under its control forests, fish and wildlife areas, and/or other areas. In other states, park agency is responsible for state parks only. These data include overnight visitors. Table A-74. Government Nonfarm employment (BLS), 2004, 2003, and 2000; Earnings (BEA), 2004, 2003, and 2001; Federal tax collections, 2004, 2003, and 2000; State tax collections, 2004, 2003, and 2000. State and Metropolitan Area Data Book: 2006

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Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economics Analysis, Survey of Current Business, April 2005, see Internet site ; Federal tax collections—Internal Revenue Service, Data Book 2004, Publication 55B, Washington, DC, and previous years, see Internet site ; State tax collections—U.S. Census Bureau, State Government Tax Collections (STC) report, see Internet site . Government employment and earnings. Refer to the notes and explanations for Table A-58 for information on employment and earnings data. Government employment covers only civilian workers. Data on federal tax collections are provided by the Internal Revenue Service (IRS) through the Statistics of Income (SOI) program. This program pulls data electronically from the master file and augments the data with items captured from the hard copies of taxpayers’ returns. The IRS processes about 200 million tax returns each year, and SOI uses about half a million of these for statistics. State tax collections data are collected by the Census Bureau through an Annual Survey of State Government Tax Collection. These statistics are of all 50 state governments in the United States and are for state governments only. They should not be interpreted as state area data (state plus local government tax collections combined). Table A-75. State Government Employment and Finances Employment, 2003 and 2000; Per 10,000 population, 2003 and 2000; Finances, Revenue, 2002 and 2000; General, 2002, total, intergovernmental from federal government, and taxes; Expenditures, 2002 and 2000; General, 2002, Total; Intergovernmental; Direct, education, public welfare, and highways. Sources: Employment—U.S. Census Bureau, State Government Employment and Payroll Data, March 2004 (accessed 10 June 2005), see Internet site ; Finances—U.S. Census Bureau, ‘‘State Government Finances’’ (accessed 8 April 2005), see Internet site . The Census Bureau collects data on state government employment by conducting an Annual Survey of Government Employment. Alternatively, every 5 years, in years A–49



ending in a ‘‘2’’ or ‘‘7,’’ a Census of Governments, including an employment portion, is conducted. For both the census and the annual surveys, the employment detail is equivalent. Employment refers to all persons gainfully employed by and performing services for a government. Employees include all persons paid for personal services performed, including persons paid from federally funded programs, paid elected or appointed officials, persons in a paid leave status, and persons paid on a per-meeting, annual, semiannual, or quarterly basis. Unpaid officials, pensioners, persons whose work is performed on a fee basis, and contractors and their employees are excluded from the count of employees. Full-time equivalent employment refers to a computed statistic representing the number of fulltime employees who could have been employed if the reported number of hours worked by part-time employees had been worked by full-time employees. This statistic is calculated separately for each function of a government by dividing the ‘‘part-time hours paid’’ by the standard number of hours for full-time employees in the particular government and then adding the resulting quotient to the number of full-time employees. Finance data are collected by the Census Bureau through the Annual Survey of Government Finances, which covers all state and local governments in the United States. The survey content includes the entire range of government finance activities: revenue, expenditure, debt, and assets. Revenue includes all amounts of money received by a government from external sources during its fiscal year net of refunds and other correcting transactions, other than issuance of debt, sale of investments, and agency or private trust transactions. Revenue excludes amounts transferred from other funds or agencies of the same government. Revenue comprises amounts received by all agencies, boards, commissions, or other organizations categorized as dependent on the government concerned. Stated in terms of the accounting procedures from which these data originate, revenue covers receipts from all accounting funds of a government, other than intragovernmental service (revolving), agency, and private trust funds. General revenue comprises all revenue except that classified as liquor store, utility, or insurance trust revenue. Generally, the basis for this distinction is not the fund or administrative unit established to account for and control a particular activity, but rather the nature of the revenue source involved. Within general revenue are four main categories: taxes, intergovernmental revenue, current charges, and miscellaneous general revenue. Each is described in detail below. Intergovernmental revenue comprises monies from other governments, including grants, shared taxes, and contingent loans and advances for support of particular A–50



functions or for general financial support; any significant and identifiable amounts received as reimbursement for performance of governmental services for other governments; and any other form of revenue representing the sharing by other governments in the financing of activities administered by the receiving government. All intergovernmental revenue is reported in the general government sector, even if it is used to support activities in other sectors (such as utilities). Intergovernmental revenue excludes amounts received from the sale of property, commodities, and utility services to other governments (which are reported in different revenue categories). It also excludes amounts received from other governments as the employer share or for support of public employee retirement or other insurance trust funds of the recipient government, which are treated as insurance trust revenue. Taxes are compulsory contributions exacted by a government for public purposes, other than for employee and employer assessments and contributions to finance retirement and social insurance trust systems and for special assessments to pay capital improvements. Tax revenue comprises gross amounts collected (including interest and penalties) minus amounts paid under protest and amounts refunded during the same period. It consists of all taxes imposed by a government whether the government collects the taxes itself or relies on another government to act as its collection agent. Expenditure includes all amounts of money paid out by a government during its fiscal year—net of recoveries and other correcting transactions—other than for retirement of debt, purchase of investment securities, extension of loans, and agency or private trust transactions. Under this definition, expenditure relates to external payments of a government and excludes amounts transferred to funds or agencies of the same government (other than payments to intragovernmental service funds). Expenditure includes payments from all sources of funds, including not only current revenues but also proceeds from borrowing and prior year fund balances. Note, however, that the Census Bureau’s finance statistics do not relate expenditure to their source of funding. Expenditure includes amounts spent by all agencies, boards, commissions, or other organizations categorized as dependent on the government concerned. General expenditure comprises all expenditure except that classified as liquor store, utility, or insurance trust expenditure. As noted above, it includes all such payments regardless of the source of revenue from which they were financed. General government expenditures are classified by function and character and object. For more information and detailed definitions, see the Governments Finance and Employment Classification Manual at (released December 2000). State and Metropolitan Area Data Book: 2006

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Table A-76. State Resources, Expenditures, and Balances Expenditures by fund source, 2004, 2003, and 2002, General fund, 2004; Federal fund, 2004; State general fund, Resources, 2004, 2003, and 2002; Expenditures, 2004, 2003, and 2002; Balance, 2004, 2003, and 2002. Source: National Association of State Budget Officers, Washington, DC, 2003 State Expenditure Report, and State General Fund from NASBO, Fiscal Survey of the States, semiannual (copyright). State general funds support most ongoing broad-based state services, as opposed to long-term state capital projects, and are available for appropriation to support any governmental activity. These funds exclude special funds earmarked for particular purposes, such as highway trust funds, which are supported by fuel taxes and motor license fees. Resources include funds budgeted, adjustments, and balances from the previous year. Expenditures may or may not include budget stabilization fund transfers, depending on state accounting practices. Refer to the source for detail. Table A-77. State Government Tax Collections: 2004, and Federal Aid to State and Local Governments State government tax collections, 2004, Total; Per capita; Percent change, 2003–2004; Type of tax, Sales and gross receipts, Total; General sales and gross receipts; Selective sales taxes, total, alcoholic beverages, amusements, insurance premiums, motor fuels, parimutuels, public utilities, tobacco products, and other selective sales; Licenses, alcoholic beverages, amusements, corporation, hunting and fishing, motor vehicle, and occupation and business, NEC; Other taxes, individual income, corporation net income, and death and gift; Federal aid to state and local governments, 2003, 2002, and 2000, Selected programs, 2003, Centers for Medicare and Medicaid Services, Highway trust fund, FEMA, and Title 1 programs. Sources: Tax collections—U.S. Census Bureau, ‘‘State Government Tax Collections,’’ see Internet site (accessed 27 State and Metropolitan Area Data Book: 2006

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April 2005); Federal aid—U.S. Census Bureau, Federal Aid to States for Fiscal Year 2003, 2002, 2001, 2000, see also . Data on state government tax collections are collected by the Census Bureau by conducting an Annual Survey of State Government Tax Collection. The data are on the fiscal year tax collections of all 50 state governments in the United States and are for state governments only. They should not be interpreted as state area data (state plus local government tax collections combined). Taxes are compulsory contributions exacted by government for public purposes including interest, penalties, and local shares of state-imposed taxes. Excluded are amounts paid under protest and amounts refunded during the same period. It consists of all taxes imposed by a government whether the government collects the taxes itself or relies on another government to act as its collection agent. Sales and gross receipts taxes are taxes on goods and services, measured on the basis of the volume or value of their transfer, upon gross receipts or gross income therefrom, or as an amount per unit sold; and related taxes based upon use, storage, production, importation, or consumption of goods and service. General sales and gross receipts taxes are applicable with only specified exceptions to sales of all types of goods and services or to all gross receipts, whether at a single rate or at classified rates, and sales use taxes. Individual income tax includes tax on individuals measured by net income and tax on special types of income (e.g. interest, dividends, income from intangible property, etc.). Corporation net income tax includes taxes on corporations and unincorporated businesses, measured by net income, whether on corporations in general or on specific kinds of corporations, such as financial institutions. Federal aid to state and local governments. All amounts of federal government grants and other payments to state and local governments represent actual cash outlays made during the fiscal year. Each federal government executive department and agency provides annual data on grants and other payments to governmental units. The data are collected from federal agencies by the Census Bureau. Data on federal aid include the following: direct cash grants to state and local government units, payments for grants-in-kind, such as purchases of commodities distributed to state or local government institutions (e.g., school programs); payments to nongovernment entities when such payments result in cash or in-kind services passed on to state and local governments; payments to regional commissions and organizations that are redistributed to A–51



the state or local level; federal government payments to state or local governments for research and development that is an integral part of the provision of public services; and shared revenues. Table A-78. Federal Government Nonfarm employment (BLS), 2004, 2003, and 2000; Federal earnings (BEA), Civilian, 2004, 2003, and 2001; Military, 2004, 2003, and 2001; Federal funds and grants, Total, 2003 and 2000; Defense, 2003, percent, and per capita; Selected object categories, 2003, direct payments for individuals, grants to state and local government, and salaries and wages. Sources: Employment—U.S. Bureau of Labor Statistics, Current Employment Statistics Program, see Internet site ; Earnings—U.S. Bureau of Economic Analysis, Survey of Current Business, April 2005, and see Internet site ; Federal funds and grants—U.S. Census Bureau, Consolidated Federal Funds Report, annual, see Internet site . Refer to the notes and explanations for Table A-58 for information on employment and earnings. See the source for further detail. Total federal funds and grants includes federal government expenditures for grants to state and local governments, salaries and wages, procurement, direct payment for individuals, and other programs for which data are available by state. Data for these items come from a variety of sources within the federal government and represent actual expenditures of the federal government during the fiscal year. The Defense Department data are computed from Defense Department grants to state and local governments, salaries and wages, retired military pay, procurement, and research grants. Per capita for defense is based on resident population estimated as of July 1. Direct payment for individuals data are compiled from amounts reported by the Federal Agencies for the Federal Assistance Award Data System (FAADS). The FAADS is a quarterly report of financial assistance awards made by each federal agency. Coverage includes grants, direct payments to individuals and others, insurance, and loans. All amounts of federal government grants to state and local governments represent actual cash outlays made during the fiscal year. This includes direct cash grants to state and local government units; payments for grants-in-kind, such as purchases of commodities distributed to state and A–52



local government institutions; payments to nongovernment entities when such payments result in cash or in-kind services passed on to state or local governments; payments to regional commissions and organizations that are redistributed to the state or local level; federal government payments to state and local governments for research and development that is an integral part of the provision of public service; and federal revenues shared with state and local governments. Table A-79. Federal Individual Income Tax Returns Federal individual income tax returns, Number of return, 2002 and 2000; Adjusted gross income, 2002 and 2000; Adjusted gross income per return, 2002 and 2000; Income tax, 2002 and 2000; Federal civilian employment, 2002, and percent change, 2000–2002; Federally owned property, 2003, number of buildings and building area; Federal lands, 2003, total and percent of total land. Sources: Tax returns—U.S. Internal Revenue Service, Statistics of Income Bulletin, quarterly; Federal civilian employment—U.S. Office of Personnel Management, Biennial Report of Employment by Geographic Area, 2002; see Internet site ; Property and land—U.S. General Services Administration, Federal Real Property Profile, annual, see Internet site (released 11 March 2003). Data for federal individual income tax returns are provided by the Internal Revenue Service through the Statistics of Income (SOI) Program. This program pulls data electronically from the master file and augments the data with items captured from the hard copies of taxpayers’ returns. The IRS processes about 200 million tax returns each year, and SOI uses about half a million of these for statistics. See the source for more detailed information. Federal civilian employment data are provided by the Office of Personnel Management (OPM). OPM has government-wide responsibility for the collection and maintenance of accurate information on the federal workforce. The Central Personnel Data File (CPDF) is an automated personnel information system containing information on most of the federal civilian workforce. Data exclude Central Intelligence Agency, Defense Intelligence Agency, seasonal and on-call employees, and National Security Agency. Refer to the source for more information. Data on federally owned property and federal lands are collected through the General Services Administration’s (GSA’s) Federal Real Property Profile (FRPP) reporting system. Contributing agencies provide data annually based on their real property holdings as of September 30. Land acreage is divided into urban and rural categories. Leased State and Metropolitan Area Data Book: 2006

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land is usually not reported if it is included with a building lease. Buildings are roofed and walled structures built for permanent use. Buildings owned by the government, whether or not located on government-owned land, are included in the data. Buildings under construction are included only if they were available for use as of September 30 of the year shown. Table A-80. Social Security, Food Stamps, and School Lunch Programs Social security benefits, Beneficiaries, 2004 and 2000, Retired workers and dependents, 2004 and 2000; Payments, 2004 and 2000, Retired workers and dependents, 2004 and 2000; Federal food stamp program, Participants, 2004 and 2000; Federal cost, 2004 and 2000; National school lunch program, Participants, 2004 and 2000; Federal cost, 2004 and 2000. Sources: Social security—U.S. Social Security Administration, Annual Statistical Supplement to the Social Security Bulletin, see Internet site ; Federal food stamp and national school lunch programs—U.S. Department of Agriculture, Food and Nutrition Service, ‘‘Food and Nutrition Service, Program Data’’; see Internet site . Social security. The Old-Age, Survivors, and Disability Insurance Program (OASDI) provides monthly benefits for retired and disabled insured workers and their dependents and to survivors of insured workers. To be eligible for benefits, a worker must have had a specified period of employment in which OASDI taxes were paid. A worker becomes eligible for full retirement benefits at age 65, although reduced benefits may be obtained up to 3 years earlier; the worker’s spouse is under the same limitations. Survivor benefits are payable to dependents of deceased insured workers. Disability benefits are payable to an insured worker under age 65 with a prolonged disability and to that person’s dependents on the same basis as dependents of a retired worker. Also, disability benefits are payable at age 50 to the disabled widow or widower of a deceased worker who was fully insured at the time of death. A lump-sum benefit is generally payable on the death of an insured worker to a spouse or minor children. The data were derived from the Master Beneficiary Record (MBR), the principal administrative file of social security beneficiaries. Data for total recipients and retired workers include persons with special age-72 benefits. Special age-72 benefit represents the monthly benefit payable to men who attained age 72 before 1972 and for women who attained age 72 before 1970 and who do not have State and Metropolitan Area Data Book: 2006

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sufficient quarters to qualify for a retired-worker benefit under either the fully or the transitionally insured status provision. The Food Stamp Program is designed to help lowincome households buy a more nutritious diet. Under the program, single persons and those living in households meeting the nationwide standard for income and assets may receive coupons redeemable for food at most retail food stores. The monthly amount of coupons a unit receives is determined by household size and income. Households without income receive the determined monthly cost of a nutritionally adequate diet for their household size. This amount is updated to account for food price increases. Households with income receive the difference between the amount of a nutritionally adequate diet and 30 percent of their income, after certain allowable deductions. Federal costs include benefits only and exclude administrative expenditures. The National School Lunch Program covers public and private elementary and secondary schools and residential child care institutions. Costs include federal cash reimbursements at rates set by law for each meal served and commodity costs. Table A-81. Social Welfare Programs and Workers’ Compensation Public aid recipients as percent of population, 2003 and 2000; Supplemental security income (SSI), Recipients, 2003 and 2000; Annual payments, 2003 and 2000; Temporary Assistance for Needy Families (TANF), Recipients, 2003 and 2000; Annual payments, 2003 and 2000; State unemployment insurance, Beneficiaries, first payments, 2004 and 2000; Benefits paid, 2004 and 2000; Workers’ compensation payments, 2002, 2000, and 1990. Sources: Public aid recipients—Compiled by the U.S. Census Bureau. Data from U.S. Social Security Administration, Annual Statistical Supplement to the Social Security Bulletin, and U.S. Administration for Children and Families, Unemployment Insurance Financial Data Handbook; SSI—U.S. Social Security Administration, Annual Statistical Supplement to the Social Security Bulletin; TANF—U.S. Administration for Children and Families, Temporary Assistance for Needy Families (TANF) Program, Annual Report to Congress, and unpublished data; State unemployment insurance—U.S. Employment and Training Administration, Unemployment Insurance Financial Data Handbook, annual; Workers’ compensation—National Academy of Social Insurance, Washington, DC, Workers’ Compensation: Benefits, Coverage, and Costs, annual for data beginning in 2000. See Internet site . For 1990 data, U.S. Social Security Administration, Social Security Bulletin. A–53



Public aid recipients is defined as total federal Supplemental Security Income (SSI) and Temporary Assistance for Needy Families (TANF) recipients as of June as a percentage of resident population estimated as of July 1 for 2003 and enumerated as of April 1 for 2000. The Supplemental Security Income (SSI) program provides cash payments in accordance with nationwide eligibility requirements to persons with limited income and resources who are aged, blind, or disabled. Under the SSI program, each person living in his or her own household is provided a cash payment from the federal government that is sufficient, when added to the person’s countable income (the total gross money income of an individual less certain exclusions), to bring the total monthly income up to a specified level (the federal benefit rate). If the individual or couple is living in another household, the guaranteed level is reduced by one-third. An aged person is defined as an individual who is 65 years old or over. A blind person is anyone with vision of 20/200 or less with the use of correcting lens in the better eye or with tunnel vision of 20 degrees or less. The disabled classification refers to any person unable to engage in any substantial gainful activity by reason of any medically determinable physical or mental impairment expected to result in death or that has lasted or can be expected to last for a continuous period of at least 12 months. For a child under 18 years, eligibility is based on disability or severity comparable with that of an adult, since the criterion of ‘‘substantial gainful activity’’ is inapplicable for children. The Temporary Assistance for Needy Families (TANF) program is a time-limited program that assists families with children when the parents or other responsible relatives cannot provide for the family’s basic needs. The federal government provides grants to states to run the TANF program so that the states decide on the design of the program, the type and amount of assistance payments, the range of other services to be provided, and the rules for determining who is eligible for benefits. Prior to TANF, the cash assistance program to families was called Aid to Families with Dependent Children (1980–1996). Under the new welfare law (Personal Responsibility Reconciliation Act of 1996), the program became TANF. Unemployment insurance is presently administered by the U.S. Employment and Training Administration and each state’s employment security agency. The program provides unemployment benefits to eligible workers who are unemployed through no fault of their own (as determined under state law), and meet other eligibility requirements of state law. Unemployment insurance payments (benefits) are intended to provide temporary assistance to unemployed workers who meet the requirements of state law. Each state administers a separate unemployment insurance program within guidelines established by federal law. Eligibility for unemployment insurance, benefit amounts, and the A–54



length of time benefits are available are determined by the state law under which unemployment insurance claims are established. In the majority of states, benefit funding is based solely on a tax imposed on employers. Workers’ compensation provides protection to workers disabled from work-related injury or illness. The program includes protection under the laws of 50 states, the District of Columbia, and two federal programs (the Federal Employees Compensation Act and the Longshoremen’s and Harbor Workers’ Compensation Act). Payments represent compensation and medical benefits and include insurance losses paid by private insurance carriers, disbursements of state funds, and self-insurance payments. Table A-82. Government Transfer Payments to Individuals Total government transfer payments, 2003, 2002, and 2000, Percent change, 2000–2003; Per capita, 2003; Program area, 2003, retirement and disability insurance benefits, medical payments, income maintenance benefits, unemployment insurance benefits, veterans benefits, federal education and training assistance payments, and other. Source: U.S. Bureau of Economic Analysis, ‘‘Regional Accounts Data, Annual State Personal Income’’; see Internet site (accessed 3 May 2005). Government transfer payments to individuals consist of: retirement and disability insurance benefits, medical benefits, income maintenance benefits, unemployment insurance compensation, veterans benefits, federal education and training assistance, and other transfer receipts of individuals from governments. Retirement and disability insurance benefits consist of Old-Age, Survivors, and Disability (OASDI) benefits; railroad retirement and disability benefits; federal and state workers’ compensation; temporary disability benefits; black lung benefits; and Pension Benefit Guaranty benefits. Medical payments include medical benefits, public assistance medical care, and military medical insurance benefits. Medicare benefits are federal government payments made through intermediaries to beneficiaries for the care provided to individuals under the Medicare program. Public assistance medical care benefits are received by lowincome individuals. These payments consist mainly of the payments made through intermediaries to the vendors for care provided to individuals under the federally assisted, state-administered Medicaid program and State Children’s Health Insurance Program (SCHIP) and under the general State and Metropolitan Area Data Book: 2006

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assistance medical programs of state and local governments. Military medical insurance benefits are vendor payments made under the TriCare Management Program, formerly called the Civilian Health and Medical Plan of the Uniformed Services program, for the medical care of dependents of active duty military personnel and of retired military personnel and their dependents at nonmilitary medical facilities. Income maintenance benefits consist largely of supplemental security income payments, family assistance, food stamp payments, and other assistance payments, including general assistance. Unemployment insurance benefits are made up of state unemployment compensation; unemployment compensation of federal civilian employees, railroad employees, and veterans; and trade adjustment allowances. State unemployment compensation are benefits consisting mainly of the payments received by individuals under state-administered unemployment insurance (UI) programs, but they include the special benefits authorized by federal legislation for periods of high unemployment. The provisions that govern the eligibility, timing, and amount of benefit payments vary among the states, but the provisions that govern the coverage and financing are uniform nationally. Unemployment compensation of federal civilian employees are benefits received by former federal employees under a federal program administered by the state employment security agencies. Unemployment compensation of railroad employees are benefits received by railroad workers who are unemployed because of sickness or because work is unavailable in the railroad industry and in related industries, such as carrier affiliates. This UI program is administered by the Railroad Retirement Board (RRB) under a federal program that is applicable throughout the nation. Unemployment compensation of veterans are benefits that are received by unemployed veterans who have recently separated from military service and who are not eligible for military retirement benefits. The compensation is paid under a federal program that is administered by the state employment security agencies. Trade adjustment allowances are the payments received by workers who are unemployed because of the adverse economic effects of international trade arrangements. Veterans benefits include veterans pension and disability benefits, veterans readjustment benefits, veterans life insurance benefits, and other assistance to veterans (federal government payments received by paraplegics and by certain other disabled veterans to purchase automobiles and other conveyances, state and local government payments of assistance to indigent veterans, and the state and local government payments of bonuses to veterans). Federal education and training assistance consists of federal fellowships, higher education student assistance, Job Corps payments, and interest payments on guaranteed State and Metropolitan Area Data Book: 2006

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student loans. Federal fellowships consist of the payments to outstanding science students who receive National Science Foundation (NSF) grants, the subsistence payments to the cadets at the six state maritime academies, and the payments for all other federal fellowships. Higher education student assistance consists of the federal payments, called Pell Grants, for an undergraduate education for students with low incomes. Job Corps payments are primarily the allowances for living expenses received by economically disadvantaged individuals who are between the ages of 16 and 21 and who are enrolled in the designated vocational and educational training programs. These benefits also include the adjustment allowances received by trainees upon the successful completion of their training. Interest payments on guaranteed student loans are made by the Department of Education to commercial lending institutions on behalf of the individuals who receive lowinterest, deferred-payment loans from these institutions in order to pay the expenses of higher education. Other transfer receipts of individuals from governments consist largely of Bureau of Indian Affairs payments, education exchange payments, Alaska Permanent Fund dividend payments, compensation of survivors of public safety officers, compensation of victims of crime, disaster relief payments, compensation for Japanese internment, and other special payments to individuals. Table A-83. Medicare, Medicaid, and State Children’s Health Insurance Program Medicare enrollment, 2003, 2002, 2001, and 2000; Medicaid, Enrollment, 2002 and 2000; Payments, 2002 and 2000; State Children’s Health Insurance Program (SCHIP), Enrollment, 2004 and 2000; Expenditures, 2004 and 2000. Sources: Medicare enrollment—U.S. Centers for Medicare and Medicaid Services, ‘‘Medicare Beneficiaries Enrolled by State as of July 1, 1999–2003,’’ published September 2004, see Internet site ; Medicaid—U.S. Centers for Medicare and Medicaid Services, Medicaid Statistical Information System, MSIS, see Internet site ; SCHIP—U.S. Centers for Medicare and Medicaid Services, The State Children’s Health Insurance Program, Annual Enrollment Report and the Statement of Expenditures for the SCHIP Program (CMS-21), see Internet site . Medicare. Since July 1966, the federal Medicare program has provided two coordinated plans for nearly all people age 65 and over: (1) a hospital insurance plan, which covers hospital and related services and (2) a voluntary A–55



supplementary medical insurance plan, financed partially by monthly premiums paid by participants, which partly covers physicians’ and related medical services. Such insurance also applies, since July 1973, to disabled beneficiaries of any age after 24 months of entitlement to cash benefits under the social security or railroad retirement programs and to persons with end-state renal disease. Medicaid is a health insurance program for certain lowincome people. These include: certain low-income families with children; aged, blind, or disabled people on supplemental security income; certain low-income pregnant women and children; and people who have very high medical bills. Medicaid is funded and administered through a state-federal partnership. Although there are broad federal requirements for medicaid, states have a wide degree of flexibility to design their program. States have authority to establish eligibility standards, determine what benefits and services to cover, and set payment rates. All states, however, must cover these basic services: inpatient and outpatient hospital services; doctors’ services, family planning, and periodic health checkups; and diagnosis and treatment for children. The Balanced Budget Act of 1997 created the State Children’s Health Insurance Program (SCHIP) and provided new funds for states to cover uninsured children. This program represents the largest single expansion of health insurance coverage for children in more than 30 years and aims to improve the quality of life for millions of vulnerable children under 19 years of age. Under title XXI of the Social Security Act, states were given the option to set up a separate child health program, expand medicaid coverage, or have a combination of both a separate child health program and a medicaid expansion. As of September 1999, all states, territories, and the District of Columbia had approved SCHIP plans in place. States continue to shape their programs through SCHIP state plan amendments. As of September 4, 2003, 169 amendments to SCHIP plans and 10 Section 1115 demonstration projects had been approved to enroll even more children or families. Coverage is now available for children whose income is 200 percent of the Federal Poverty Level (FPL) or higher in 39 states and the District of Columbia. Prior to this legislation, only six states had income eligibility levels at or above 200 percent for infants only. Table 84. Department of Defense and Veterans Department of Defense, Personnel, 2004 and 2000; 2004, active duty military, civilian, Reserve and National Guard, and selected major location; Expenditures, 2004 and 2000; 2004, payroll, contracts, and grants; Number of veterans, 2004 and 2000. Sources: Department of Defense—U.S. Department of Defense, Atlas/Data Abstract for the United States and A–56



Selected Areas, annual, see Internet site ; Veterans—U.S. Department of Veterans Affairs, Office of Policy, Planning, and Preparedness; see Internet site . The Department of Defense (DOD) is responsible for providing the military forces of the United States. It includes the Office of the Security of Defense, the Joint Chiefs of Staff, the Army, the Navy, the Air Force, and the defense agencies. The President serves as Commander in Chief of the armed forces; from him, the authority flows to the Secretary of Defense and through the Joint Chiefs of Staff to the commanders of unified and specified commands (e.g., U.S. Strategic Command). DOD personnel data include active duty military, civilian, and Reserve and National Guard. Expenditures include payroll outlays, contracts, and grants. Payroll outlays consist of active duty military pay, civilian pay, Reserve and National Guard pay, and retired military pay. Contracts include supply and equipment contracts, RDT&E contracts, service contracts, construction contracts, and civil function contracts. Veterans. The Office of Policy in the Department of Veterans Affairs (VA) is responsible for administering a range of programs and analyses concerning veteran surveys, demographics, and population estimates. Within the Office of Policy, the Office of the actuary (OACT) develops estimates and projections of the veteran population and their characteristics. Veterans serving in more than one period of service are counted only once in the total. The data include the Gulf War (no prior wartime service), Vietnam era (no prior wartime service), Korean conflict (no prior wartime service), World War II, and all peacetime periods. Table A-85. Elections Voting-age population, 2004 and 2000; Percent of voting-age population casting votes for President, 2004 and 2000; Electoral votes cast for President, 2004 and 2000; Popular vote for President, 2004, Total, Percent of total, Democratic and Republican; 2000, Total, Percent of total, Democratic and Republican; Votes cast for U.S. Senators, 2004, Total, Percent of total, Democratic and Republican; 2002, Total, Percent of total, Democratic and Republican. Sources: Voting-age population—U.S. Census Bureau, ‘‘Annual Estimates of the Population by Selected Age State and Metropolitan Area Data Book: 2006

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Groups and Sex for the United States: April 1, 2000 to July 1, 2004’’ (NC-EST2004-02); also see ; Percent of voting-age population voting for President—For 2004 data, U.S. Congress, Clerk of the House, Statistics of the Presidential and Congressional Election, biennial; for 2000 data, CQ Press, Washington, DC, America Votes, biennial (copyright; printed with permission of CQ Press); Electoral votes, votes for President, and votes for Senators—Through 2002, CQ Press, Washington, DC, America Votes, biennial (copyright; printed with permission of CQ Press). For electoral votes 2004, U.S. Federal Elections Commission, Federal Elections 2004, May 2005. For popular vote and votes for U.S. Senators 2004, Office of the Clerk, Statistics of the Presidential and Congressional Election, June 7, 2005. The voting-age population relates to persons 18 years old and over in all states and the District of Columbia. Data include armed forces stationed in each state, aliens, and the institutionalized population. Votes cast for President. The Constitution specifies how the President and Vice President are selected. Each state elects, by popular vote, a group of electors equal in number to its total of members of Congress. The 23rd Amendment, adopted in 1961, grants the District of Columbia three presidential electors, a number equal to that of the least populous state. A majority vote of all electors is necessary to elect the President and Vice President. If no candidate receives a majority, the House of Representatives, with each state having one vote, is empowered to elect the President and Vice President, again, with a majority of votes required. Votes cast for U.S. Senators. The U.S. Senate is composed of 100 members, two from each state, who are elected to serve for a term of 6 years. One-third of the Senate is elected every 2 years. Senators were originally chosen by the state legislatures. The 17th Amendment to the Constitution, adopted in 1913, prescribed that Senators be elected by popular vote. Table A-86. Composition of Congress Votes cast for U.S. Representatives, 2004, Total, Percent of total, Democratic and Republican; 2002, Total, Percent of total, Democratic and Republican; Composition of 109th Congress, 2005, Senate, Democratic and Republican; House of Representatives, Democratic and Republican; Composition of 108th Congress, 2003, Senate, Democratic and Republican; House of Representatives, Democratic and Republican. State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Sources: Votes—For 2002 data, CQ Press, Washington, DC, America Votes, biennial (copyright; printed with permission of CQ Press). For 2004 data, Office of the Clerk, Statistics of the Presidential and Congressional Election, June 7, 2005; Composition of Congress—Office of the Clerk, Official List of Members by State, annual. See also . In each state, totals for votes cast for Representatives represent the sum of votes cast in each Congressional District or votes cast for Representatives at Large in states where only one member is elected. In all years, there are numerous districts within the state where either the Republican or Democratic party had no candidate. In some states, the Republican and Democratic vote includes votes cast for the party candidate by endorsing parties. Refer to the notes and explanations for A-85 for information on Senators. Table A-87. Composition of Governors and State Legislatures Votes cast for Governor, 2004, candidate elected at most recent election, totals, and percent for leading party; 2002, totals and percent for leading party; Composition of state legislatures, 2005, Lower House, Democratic and Republican; Upper House, Democratic and Republican; Black elected officials, 2001, total and U.S. and state legislatures; Hispanic public officials, 2004, total and state executives and legislators; Women holding state public offices, 2004, statewide elective executive office and state legislature; Apportionment of membership in House of Representatives by state, 2000, 1990, and 1980. Sources: Votes for Governor—CQ Press, Washington, DC, America Votes, biennial (copyright; printed with permission of CQ Press); Composition of state legislatures—The Council of State Governments, Lexington, KY, State Elective Officials and the Legislatures, annual (copyright); Black officials—Joint Center for Political and Economic Studies, Washington, DC, Black Elected Officials: A Statistical Summary, annual (copyright) and (accessed 17 April 2003); Hispanic officials—National Association of Latino Elected and Appointed Officials (NALEO) Educational Fund, Los Angeles, CA, National Directory of Latino Elected Officials, formerly published as National Roster of Hispanic Elected Officials, annual; Women holding offices—Center for American Women and Politics, Eagleton Institute of Politics, Rutgers University, New Brunswick, NJ, information releases (copyright); Apportionment—U.S. Census Bureau, Congressional Apportionment, Census 2000 Brief, C2KBR/01-7, issued July 2001; see also . A–57



Data for votes cast for Governor represent total votes cast, including scattered votes. The percentage of votes cast for the leading party represents the percentage of the total votes cast for the party with a majority or plurality. Data shown for composition of state legislatures reflect election results in year shown for most states and to odd-year elections the previous years in a few states. The figures reflect the immediate results of elections, including holdover members in state houses that do not have all of their members running for reelection. Lower House refers to the body consisting of State Representatives. Upper House refers to the body consisting of U.S. Senators. Black elected officials. As of January 2001, no Black elected officials had been identified in Hawaii, Montana, North Dakota, or South Dakota. The total includes U.S. and state legislatures and elected state administrators, city and county offices, law enforcement, and education officials not shown separately. Hispanic public officials data include U.S. Representatives, state executives and legislators, county and municipal officials, judicial and law enforcement officials, and education and school boards. In 2004, no Hispanic public officials had been identified in Alabama, Alaska, Arkansas, the District of Columbia, Iowa, Kentucky, Maine, Mississippi, South Dakota, Vermont, or West Virginia. Data for women holding state public offices cover women in statewide elective executive offices and state legislatures, county commissions, mayoralties, townships, and local councils. Apportionment. Total membership in the House of Representatives includes Representatives assigned to newly admitted states after the apportionment acts. Population figures used for apportionment purposes are those determined for states by each decennial census. TABLE B — METRO AREAS Table B consists of 11 tables (B-1 through B-11) with 139 data items for 361 metropolitan statistical areas (MSAs), 11 metropolitan statistical areas with metropolitan divisions, and 29 metropolitan divisions. They are presented alphabetically in each of the 11 tables. All summaries, including historical data, are presented for the areas as currently defined. Where possible, the original figures have been retabulated to reflect the status of metropolitan area boundaries as of 1 November 2004. For more information on these areas, see Appendix C, Geographic Concepts and Codes. Table B-1. Area and Population Total area, 2000; Population, total, 1990, 2000, 2004, 2005; rank, 1990, 2000, and 2005; Persons per square mile of land area, 1990, 2000, and 2005. A–58



Sources: Area—U.S. Census Bureau, 2000 Census of Population and Housing, Summary Population and Housing Characteristics, Series PHC-1; and unpublished data on American FactFinder; Population—U.S. Census Bureau, 1990 ‘‘Population Estimates: Annual Time Series,’’ archive 1990 (revised data for April 1, 1990, Population Estimates base), ; 2000 to 2005 compiled from ‘‘Population Estimates by County,’’ published 16 March 2006; . Total area. Area measurement data provide the size, in square units, of geographic entities for which the U.S. Census Bureau tabulates and disseminates data. Area is calculated from the specific boundary recorded for each entity (in this case, states and counties) in the Census Bureau’s geographic database. Area measurements may disagree with the information displayed on the Census Bureau maps and in the TIGER® database because, for area measurement purposes, features identified as ‘‘intermittent water’’ and ‘‘glacier’’ are reported as land area. TIGER® is an acronym for the new digital (computer-readable) geographic database that automates the mapping and related geographic activities required to support the Census Bureau’s census and survey programs; TIGER® stands for Topologically Integrated Geographic Encoding and Referencing system. The accuracy of any area measurement data is limited by the accuracy inherent in (1) the location and shape of the various boundary information in the database, (2) the location and shapes of the shorelines of water bodies in that database, and (3) rounding affecting the last digit in all operations that compute and/or sum the area measurements. Identification of land and inland, coastal, and territorial is for statistical purposes and does not necessarily reflect legal definitions thereof. Population estimates is the estimated population from the calculated number of people living in an area as of July 1. The estimated population is calculated from a component of change model that incorporates information on natural changes (births, deaths) and net migration (net internal migration, net international migration) that has occurred in an area since a Census 2000 reference date. The Census Bureau develops county population estimates with a demographic procedure called an ‘‘administrative records component of change’’ method. A major assumption underlying this approach is that the components of population change are closely approximated by administrative data in a demographic change model. In order to apply the model, Census Bureau demographers estimate each component of population change separately. In cases where we do not have data for all counties for the current estimate year, we estimate the components of population changes based on one or more simplifying assumptions. State and Metropolitan Area Data Book: 2006

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When we prepare our initial population estimates, we use the same variant of the component model with these simplifying assumptions. In the creation of current vintage population estimates, we replace the initial population estimates from the previous vintage with ‘‘revised’’ population estimates calculated with the actual data for all components of population change. Calculations of ‘‘revised’’ population estimates also incorporate updates to components of change from previous years. For more information on the method used for these estimates, see Appendix B, Limitations of the Methodology, and the Web site at . Rank numbers are assigned on the basis of population size, with each county area placed in descending order, largest to smallest. Where ties—two or more areas with identical populations—occur, the same rank is assigned to each of the tied county areas. In such cases, the following rank number(s) is omitted so that the lowest rank is usually equal to the number of county areas ranked. Persons per square mile of land area, also known as population density, is the average number of inhabitants per square mile of land area. These figures are derived by dividing the total number of residents by the number of square miles of land area in the specified geographic area. Table B-2. Components of Population Change Components of population change—total, natural increase, natural increase of births, natural increase of deaths, net international migration, percent change, April 1, 2000, to July 1, 2005; Population change—April 1, 1990, to April 1, 2000; Percent change—April 1, 1990, to April 1, 2000. Sources: Population—U.S. Census Bureau, Components of Population Change, ‘‘Population Estimates, Cumulative Estimates of the Components of Population Change for Counties: April 1, 2000 to July 1, 2005,’’ ; Population change—Census 2000, Demographic Profiles 1; 1990 census, 100 percent data, STF1 ; Net international migration—U.S. Census Bureau, ; Births—U.S. National Center for Health Statistics, Vital Statistics of the United States, Vol. 1, Natality, annual, and unpublished data; Deaths—U.S. National Center for Health Statistics, Vital Statistics of the United States, Vol. 11, Mortality, annual, and unpublished data. The U.S. Census Bureau annually produces estimates of total resident population for each state and county. County population estimates are produced with a component of population change method, while the state population estimates are solely the sum of the county populations. The following documentation describes the work that was carried out to produce the July 1, 2004, total resident population estimates at the county level. State and Metropolitan Area Data Book: 2006

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The Census Bureau develops county population estimates with a demographic procedure called an ‘‘administrative records component of population change’’ method. A major assumption underlying this approach is that the components of population change are closely approximated by administrative data in a demographic change model. In order to apply the model, Census Bureau demographers estimate each component of population change separately. For the population residing in households, the components of population change are births, deaths, and net migration, including net international migration. For the nonhousehold population, change is represented by the net change in the population living in group quarters facilities. Each component in our model is represented with data that are symptomatic of some aspect of population change. For example, birth certificates are symptomatic of additions to the population resulting from births, so we used these data to estimate the birth component for a county. Some other components are derived from death certificates, Internal Revenue Service (IRS) data, Medicare enrollment records, Armed Forces data, group quarters population data, and data from the American Community Survey (ACS). The Census Bureau produces the estimates of the county populations by starting with the base populations from either Census 2000 or the revised population estimate for the most recent year and then adding or subtracting the demographic components of population change calculated for the time period. Basically, the operation is to add the estimated number of births and subtract the estimated number of deaths for the time period. The Census Bureau accounts for net migration, which is calculated using several components including net internal migration, net foreign-born international migration, net movement to/from Puerto Rico, net Armed Forces movement to/from overseas, the change in the group quarters population, and native emigration from the United States. The definitions of these concepts follow. Natural increase—births minus deaths. The rate of natural increase expresses natural increase during a time period as a percentage of an area’s population at the midpoint of the time period. Net international migration—international migration, in its simplest form, is defined as any movement across U.S. (50 states and District of Columbia) borders. The Census Bureau makes estimates of net international migration for the nation, states, and counties. We estimate net international migration as: (1) net migration of the foreign born, (2) net movement from Puerto Rico, (3) net movement of the U.S. Armed Forces, and (4) emigration of the native born. The largest component, net migration of the foreign born, includes lawful permanent residents (immigrants), temporary migrants (such as students), humanitarian A–59



migrants (such as refugees), and people illegally present in the United States. Currently, we do not estimate these components individually. Percent population change is the difference between the population of an area at the beginning and end of a time period, expressed as a percentage of the beginning population. Table B-3. Population by Age, Race, and Sex Population characteristics, 2003, Age (percent), Under 5 years; 5 to 14 years; 15 to 24 years; 25 to 34 years; 35 to 44 years; 45 to 54 years; 55 to 64 years; 65 to 74 years; 75 years and over; One race (percent), White alone; Black or African American alone; American Indian and Alaska Native alone; Asian alone; Native Hawaiian and Other Pacific Islander alone; Percent Hispanic or Latino origin; Males per 100 females. Source: U.S. Census Bureau, Population Estimates, County Population datasets, . Age, sex, and race estimates are based on the distributed cohort component method. For an overview, see . Age. The age classification is based on the age of the person in complete years as of July 1, 2004. The age of the person usually was derived from their date of birth information. Median age represents the age that divides the age distribution into two equal parts, one-half of the cases falling below the median age and one-half above the median. This measure is rounded to the nearest tenth. Race. The concept of race, as used by the Census Bureau, reflects self-identification by people according to the race or races with which they most closely identify. These categories are sociopolitical constructs and should not be interpreted as being scientific or anthropological in nature. Furthermore, the race categories include both racial and national-origin groups. Caution must be used when interpreting changes in the racial composition of the U.S. population over time. The racial classifications used by the Census Bureau adhere to the December 15, 2000 (revised from October 30, 1997), Federal Register Notice entitled A–60



‘‘Revisions to the Standards for the Classification of Federal Data on Race and Ethnicity’’ issued by the Office of Management and Budget (OMB), . These standards govern the categories used to collect and present federal data on race and ethnicity. The OMB required federal agencies to use a minimum of five race categories: White, Black or African American, American Indian and Alaska Native, Asian, and Native Hawaiian and Other Pacific Islander. For respondents unable to identify with any of these five race categories, the OMB approved including a sixth category, ‘‘Some other race.’’ The Census 2000 question on race included three areas where respondents could write in a more specific race group. The response categories and write-in answers can be combined to create the five minimum OMB race categories plus ‘‘Some other race.’’ People who responded to the question on race by indicating only one race are referred to as the race alone population, or the group that reported only one race category. White. A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. It includes people who indicated their race as ‘‘White’’ or reported entries such as Irish, German, Italian, Lebanese, Near Easterner, Arab, or Polish. Black or African American. A person having origins in any of the Black racial groups of Africa. It includes people who indicated their race as ‘‘Black, African Am., or Negro,’’ or who provided written entries such as African American, Afro American, Kenyan, Nigerian, or Haitian. American Indian and Alaska Native. A person having origins in any of the original peoples of North and South America (including Central America) and who maintains tribal affiliation or community attachment. It includes people who classify themselves as described below. American Indian. Includes people who indicated their race as ‘‘American Indian,’’ entered the name of an Indian tribe, or reported such entries as Canadian Indian, FrenchAmerican Indian, or Spanish-American Indian. Alaska Native. Includes written responses of Eskimos, Aleuts, and Alaska Indians as well as entries such as Arctic Slope, Inupait, Yupik, Alutiiq, Egeik, and Pribilovian. The Alaska tribes are the Alaskan Athabascan, Tlingit, and Haida. Asian. A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. It includes ‘‘Asian Indian,’’ ‘‘Chinese,’’ ‘‘Filipino,’’ ‘‘Korean,’’ ‘‘Japanese,’’ ‘‘Vietnamese,’’ and ‘‘Other Asian.’’ Asian Indian includes people who indicated their race as ‘‘Asian Indian’’ or identified themselves as Bengalese, Bharat, Dravidian, East Indian, or Goanese. Chinese State and Metropolitan Area Data Book: 2006

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includes people who indicated their race as ‘‘Chinese’’ or who identified themselves as Cantonese or Chinese American. In some census tabulations, written entries of Taiwanese are included with Chinese while in others they are shown separately. Filipino includes people who indicated their race as ‘‘Filipino’’ or who reported entries such as Philipano, Philipine, or Filipino American. Japanese includes people who indicated their race as ‘‘Japanese’’ or who reported entries such as Nipponese or Japanese American. Korean includes people who indicated their race as ‘‘Korean’’ or who provided a response of Korean American. Vietnamese includes people who indicated their race as ‘‘Vietnamese’’ or who provided a response of Vietnamese American. Native Hawaiian and Other Pacific Islander. A person having origins in any of the original peoples of Hawaii, Guam, Samoa, or other Pacific Islands. It includes people who indicated their race as ‘‘Native Hawaiian,’’ ‘‘Guamanian or Chamorro,’’ ‘‘Samoan,’’ and ‘‘Other Pacific Islander.’’ Native Hawaiian includes people who indicated their race as ‘‘Native Hawaiian’’ or who identified themselves as ‘‘Part Hawaiian’’ or ‘‘Hawaiian.’’ Guamanian or Chamorro includes people who indicated their race as such, including written entries of Chamorro or Guam. Samoan includes people who indicated their race as ‘‘Samoan’’ or who identified themselves as ‘‘American Samoan’’ or ‘‘Western Samoan.’’ Other Pacific Islander includes people who provided a write-in response of a Pacific Islander group such as ‘‘Tahitian,’’ ‘‘Northern Mariana Islander,’’ ‘‘Palauan,’’ ‘‘Fijian,’’ or a cultural group, such as ‘‘Melanesian,’’ ‘‘Micronesian,’’ or ‘‘Polynesian.’’ Hispanic or Latino origin. People who identify with the terms ‘‘Hispanic’’ or ‘‘Latino’’ are those who classified themselves in one of the specific Hispanic or Latino categories listed on the questionnaire—‘‘Mexican,’’ ‘‘Puerto Rican,’’ or ‘‘Cuban’’—as well as those who indicated that they are ‘‘other Spanish, Hispanic, or Latino.’’ Origin can be viewed as the heritage, nationality group, lineage, or country of birth of the person or the person’s parents or ancestors before their arrival in the United States. People who identify their origin as Spanish, Hispanic, or Latino may be any race. Table B-4. Population Characteristics 2000 Census Households—total, and percent of family households with children under 18 years; Persons 25 years and over, percent high school graduate or higher, and percent bachelor’s degree or higher; Foreign-born population, percent of total population; Persons 5 years and over, percent speaking language other than English at home, percent living in same house in 1995 and 2000; Persons 16 years and over, percent of workers who drove alone to work; Percent of households with income of $75,000 or more; Percent of persons below poverty, percent. State and Metropolitan Area Data Book: 2006

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Sources: Households—U.S. Census Bureau, 2000 Census of Population and Housing, ‘‘Census 2000 Profiles of General Demographic Characteristics’’ data files (DP1) (accessed 14 June 2002) and related Internet site at . See also 2000 Census of Population and Housing, Summary File 1 (SF1) and related Internet site and 2000 Census of Population and Housing, Summary Population and Housing Characteristics, PHC-1-1 to 52, and related Internet site at ; Educational attainment, foreign born, language, residence, commuting, income, and poverty—U.S. Census Bureau, 2000 Census of Population and Housing, Summary File 3 (SF3) (accessed 12 January 2004) and related Internet site at and 2000 Census of Population and Housing, Summary Social, Economic, and Housing Characteristics, PHC-2-1 to 52, and related Internet site at . Population characteristics in this table are for the 2000 Census of Population and Housing. For information, see General Notes for Population and Decennial censuses, on page A–1. Household. A household includes all of the people who occupy a housing unit. People not living in households are classified as living in group quarters. Persons per household (or average household size) is a measure obtained by dividing the number of people in households by the total number of households (or householders). Family household. A family includes a householder and one or more people living in the same household who are related to the householder by birth, marriage, or adoption. All people in a household who are related to the householder are regarded as members of his or her family. A family household may contain people not related to the householder, but those people are not included as part of the householder’s family in census tabulations. Thus, the number of family households is equal to the number of families, but family households may include more members than do families. A household can contain only one family for purposes of census tabulations. Not all households contain families since a household may comprise a group of unrelated people or one person living alone. Educational Attainment Data on educational attainment in 2000 were derived from answers to the questionnaire, which was asked of a sample of persons. Data are tabulated as attainment for persons 25 years old and over. Persons are classified according to the highest level of school completed or the highest degree received. Respondents were asked to report the level of the previous grade attended or the A–61



highest degree received for the persons currently enrolled in school. The question included response categories that allowed persons to report completing the 12th grade without receiving a high school diploma and that instructed respondents to report as ‘‘high school graduate(s)’’— persons who received either a high school diploma or the equivalent; for example, passed the Test of General Educational Development (G.E.D.) and did not attend college. The category ‘‘High school graduate or higher’’ covers persons whose highest degree was a high school diploma or its equivalent, persons who attended college or professional school, and persons who received a college, university, or professional degree. Persons who reported completing the 12th grade but not receiving a diploma are not included. Foreign-Born Population The Census Bureau separates the U.S. resident population into two groups based on whether or not a person was a U.S. citizen at the time of birth. Anyone born in the United States or U.S. Island Area (such as Puerto Rico), or born abroad to a U.S. citizen parent, is a U.S. citizen at the time of birth and consequently included in the native population. The term foreign-born population refers to anyone who is not a U.S. citizen at birth. This includes naturalized U.S. citizens, legal permanent resident aliens (immigrants), temporary migrants (such as students), humanitarian migrants (such as refugees), and people illegally present in the United States. Household Income and Poverty Data for household income and persons below poverty level are based on sample data from the 2000 census. Household income is total money income received in a calendar year by all household members 15 years old and over. Total money income is the sum of amounts reported separately for income from wages or salaries; nonfarm self-employment; farm self-employment; social security; public assistance; and all other regularly received income such as veterans payments, pensions, unemployment compensation, and alimony. Receipts not counted as income include various ‘‘lump sum’’ payments such as capital gains or inheritances. The total represents the amount of income received before deductions for personal income taxes, social security, bond purchases, union dues, Medicare deductions, etc. Household income differs from family income by including income received by all household members, not just those related to the householder, and by persons living alone or in other nonfamily households. Income is derived on a sample basis. Poverty is defined in relation to family income. Families and unrelated individuals are classified as above or below the poverty level by comparing their total income to an income cutoff or ‘‘poverty threshold.’’ The income cutoffs vary by family size, number of children, and age of the A–62



family householder or unrelated individual. Poverty status is determined for all families (and, by implication, all family members). Poverty status is also determined for persons not in families, except for inmates of institutions, members of the Armed Forces living in barracks, college students living in dormitories, and unrelated individuals under 15 years old. Poverty status is derived on a sample basis. Table B-5. Births, Deaths, Infant Deaths Births, 2002, 2000, Number and rate per 1,000; Deaths, 2002, 2000, Number and rate per 1,000; Infant deaths, 2002, 2000, 1990, Number and rate per 1,000. Sources: Births—U.S. National Center for Health Statistics, Vital Statistics of the United States, Vol. 1, Natality, annual, and unpublished data. Deaths and infant deaths—U.S. National Center for Health Statistics, Vital Statistics of the United States, Volume II, Mortality, and unpublished data. Births and deaths. Through the National Vital Statistics System, the NCHS collects and publishes data on births and deaths in the United States. The Division of Vital Statistics obtains information on births and deaths from the registration offices of all states, New York City, and the District of Columbia. In most areas, practically all births and deaths are registered. The most recent test of the completeness of birth registration, conducted on a sample of births from 1964 to 1968, showed that 99.3 percent of all births in the United States during that period were registered. No comparable information is available for deaths, but it is generally believed that death registration in the United States is at least as complete as birth registration. Birth and death statistics are limited to events occurring during the year. The data are by place of residence and exclude events occurring to nonresidents of the United States. Births or deaths that occur outside the United States are excluded. Birth and death rates represent the number of births and deaths per 1,000 resident population estimated as of July 1 for 2000 and 2002. Infant death rates represent the number of deaths of infants under 1 year of age per 1,000 live births. They exclude fetal deaths. Table B-6. Physicians, Community Hospitals, Medicare, Social Security, and SSI Physicians, 2003, Number and rate per 100,000 persons; Community hospitals, 2003, Number; Beds, Number, rate per 100,000 persons, and change State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



2000–2003; Medicare program enrollment, 2003, Total, percent change 2000–2003, and rate per 100,000 persons; Social security program, 2004, Beneficiaries, number, rate per 100,000 persons, change 2000–2003, and number of retired workers; Supplementary security income program, 2004, Number and rate per 100,000 persons. Sources: Physicians—American Medical Association, Chicago, IL, Physician Characteristics and Distribution in the U.S., annual (copyright) (accessed 13 May 2005); Hospitals—Health Forum LLC, an American Hospital Association (AHA) Company, Chicago, IL, Hospital Statistics, and unpublished data (copyright) (e-mail accessed 26 May 2005); Medicare program enrollment—Centers for Medicare and Medicaid Services, CMS Statistics: Medicare Enrollment (accessed 17 June 2005); Social security—U.S. Social Security Administration, Office of Research and Statistics, OASDI Beneficiaries by State and County (accessed 9 June 2005); Supplemental security income—U.S. Social Security Administration, Office of Research, Evaluation, and Statistics, SSI Recipients by State and County (accessed 6 June 2005). Physicians The number of physicians covers active, nonfederal physicians as of December 31 of the year shown. The figures are based on information contained in the AMA Physician master file. The file has been maintained by the AMA since 1906 and includes information on every physician in the country and on those graduates of American medical schools who are temporarily practicing overseas. The file also includes members and nonmembers of the AMA and graduates of foreign medical schools who are in the United States and meet U.S. education standards for primary recognition as physicians. Thus, all physicians comprising the total manpower pool are included on the file. However, this publication excludes data for all federal physicians and nonfederal physicians who are temporarily in foreign locations. Master file data are obtained from both AMA surveys and inputs from physicians, other organizations, and institutions. Primary sources are as follows: medical schools, hospitals, medical societies, national boards, state licensing agencies, the Educational Commission for Foreign Medical Graduates, the Surgeon General of the U.S. Government, the American Board of Medical Specialties, and physicians. Physician rate is per 100,000 resident population estimated as of July 1, 2003. Community Hospitals Community hospitals are defined as nonfederal, shortterm (average length of stay less than 30 days), general, or other special hospitals whose facilities and services are State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



available to the public; psychiatric and tuberculosis hospitals and hospital units of institutions are excluded. Data for beds are based on the average number of beds in the facilities over the reporting period. Rate is per 100,000 resident population estimated as of July 1, 2003. Medicare Enrollment When first implemented in 1966, Medicare covered only most persons age 65 and over. By the end of 1966, 3.7 million persons had received at least some health care services covered by Medicare. In 1973, other groups became eligible for Medicare benefits: persons who are entitled to social security or Railroad Retirement disability benefits for at least 24 months; persons with end stage renal disease (ESRD) requiring continuing dialysis or kidney transplant; and certain otherwise noncovered aged persons who elect to buy into Medicare. Medicare consists of two primary parts: Hospital Insurance (HI), also known as Part A, and Supplementary Medical Insurance (SMI), also known as Part B. Health care services covered under Medicare’s Hospital Insurance include inpatient hospital care, skilled nursing facility care, home health agency care, and hospice care. SMI coverage is optional and requires payment of a monthly premium. Social Security The Old-Age, Survivors, and Disability Insurance Program (OASDI) provides monthly benefits for retired and disabled insured workers and their dependents and to survivors of insured workers. To be eligible for benefits, a worker must have had a specified period of employment in which OASDI taxes were paid. A worker becomes eligible for full retirement benefits at age 65, although reduced benefits may be obtained up to 3 years earlier; the worker’s spouse is under the same limitations. Survivor benefits are payable to dependents of deceased insured workers. Disability benefits are payable to an insured worker under age 65 with a prolonged disability and to that person’s dependents on the same basis as dependents of a retired worker. Also, disability benefits are payable at age 50 to the disabled widow or widower of a deceased worker who was fully insured at the time of death. A lump-sum benefit is generally payable on the death of an insured worker to a spouse or minor children. The data were derived from the Master Beneficiary Record (MBR), the principal administrative file of social security beneficiaries. Data for total recipients and retired workers include persons with special age-72 benefits. Special age-72 benefit represents the monthly benefit payable to men who attained age 72 before 1972 and for women who attained age 72 before 1970 and who do not have sufficient quarters to qualify for a retired-worker benefit under either the fully or the transitionally insured status provision. A–63



Supplemental Security Income The Supplemental Security Income (SSI) program provides cash payments in accordance with nationwide eligibility requirements to persons with limited income and resources who are aged, blind, or disabled. Under the SSI program, each person living in his or her own household is provided a cash payment from the federal government that is sufficient, when added to the person’s countable income (the total gross money income of an individual less certain exclusions), to bring the total monthly income up to a specified level (the federal benefit rate). If the individual or couple is living in another household, the guaranteed level is reduced by one-third. An aged person is defined as an individual who is 65 years old or over. A blind person is anyone with vision of 20/200 or less with the use of correcting lens in the better eye or with tunnel vision of 20 degrees or less. The disabled classification refers to any person unable to engage in any substantial gainful activity by reason of any medically determinable physical or mental impairment expected to result in death or that has lasted or can be expected to last for a continuous period of at least 12 months. For a child under 18 years, eligibility is based on disability or severity comparable with that of an adult, since the criterion of ‘‘substantial gainful activity’’ is inapplicable for children. Table B-7. Housing Units and Building Permits Housing units, 2004 (July 1), 2000 (estimates base), 1990 (April 1); Change 2000–2004, Units per square mile, 2004, 1990; Housing 2000, Home ownership rate and Units in multiunit structures; New private housing units authorized by building permits 2000–2003, 2003, and 2002. Sources: Housing units 2000 and 2004—U.S. Census Bureau, Population Estimates by Housing Units, Annual Estimates of Housing Units for Counties: April 1, 2000 to July 1, 2004, (accessed 14 November 2005); Housing units 1990—U.S. Census Bureau, 1990 Census of Population and Housing, Summary Tape File (STF) 1C on CD-ROM (archive); Housing 2000—U.S. Census Bureau, 2000 Census of Population and Housing, Census 2000 Profiles of General Demographic Characteristics data files, (accessed 7 August 2002); Building permits—U.S. Census Bureau, ‘‘New Residential Construction—Building Permits,’’ e-mail from Manufacturing, Mining, and Construction Statistics Branch, subject: building permits by place 2000 (accessed 12 April 2005). Housing unit estimates are developed by using building permits, mobile home shipments, and estimates of housing unit loss to measure housing unit change since the A–64



last census. For more information, see . A housing unit is a house, apartment, mobile home or trailer, group of rooms, or single room occupied or, if vacant, intended for occupancy as separate living quarters. Separate living quarters are those in which the occupants do not live and eat with any other persons in the structure and that have direct access from the outside of the building through a common hall. A housing unit is classified as occupied if it is the usual place of residence of the person or group of people living in it at the time of census enumeration or if the occupants are only temporarily absent; that is, away on vacation or business. All occupied housing units are classified as either owneroccupied or renter-occupied. A housing unit is owneroccupied if the owner or co-owner lives in the unit even if it is mortgaged or not fully paid for. All occupied housing units that are not owner-occupied, whether they are rented for cash rent or occupied without payment of cash rent, are classified as renter-occupied. Housing 2000 Homeownership rates are computed by dividing the number of households that are owned by the total number of households. Multiunit structures are structures containing 2 or more housing units. For information on home ownership rates and units in multiunit structures, see Census 2000 summary files. Building permits data are based on reports submitted by local building permit officials in response to a Census Bureau mail survey. They are obtained using Form C-404, ‘‘Report of New Privately Owned Residential Building or Zoning Permits Issued.’’ Data are collected from individual permit offices, most of which are municipalities; the remainder are counties, townships, or New England- and Middle Atlantic-type towns. Currently, there are 19,000 permit-issuing places. When a report is not received, missing data are either (1) obtained from the Survey of Use of Permits, which is used to collect information on housing starts, or (2) imputed. The data relate to new private housing units intended for occupancy on a housekeeping basis. They exclude mobile homes (trailers), hotels, motels, and group residential structures, such as nursing homes and college dormitories. They also exclude conversions of and alterations to existing buildings. A housing unit consists of a room or group of rooms intended for occupancy as separate living quarters by a family, by a group of unrelated persons living together, or by a person living alone. Table B-8. Personal Income and Earnings by Industry Personal income, Total, 2000–2002; Personal income per capita, 2002, 2000; State and Metropolitan Area Data Book: 2006

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Percent change, 2001–2002 and 2000–2002; Earnings, Total, 2002; Percent by selected industries. Source: Personal income and earnings—U.S. Bureau of Economic Analysis, Regional Economic Information System (REIS) 1969–2002 on CD-ROM, and related Internet site at . The personal income of an area is defined as the income received by, or on behalf of, all the residents of that area. It consists of the income received by persons from all sources; that is, from participation in production, from both government and business transfer payments, and from government interest. Personal income is the sum of wage and salary disbursements, other labor income, proprietors’ income, rental income of persons, personal dividend income, personal interest income, and transfer payments, less personal contributions for social insurance. Personal income differs by definition from money income, which is prepared by the Census Bureau, in that money income is measured before deduction of personal contributions for social insurance and does not include imputed income, lump sum payments, and income received by quasi-individuals. Money income does include income from private pensions and annuities and from interpersonal transfer, such as child support; therefore, it is not comparable to personal income. Total personal income is adjusted to place of residence. About 90 percent of the state and county estimates of personal income are based on census data and on administrative records data that are collected by other federal agencies. The data from censuses are mainly collected from the recipient of the income. The most important sources of census data for the state and county estimates are the census of agriculture and the census of population and housing that are conducted by the Census Bureau. The data from administrative records may originate either from the recipients of the income or from the source of the income. These data are a byproduct of the administration of various federal and state government programs. The most important sources of these data are as follows: the state unemployment insurance programs of the Employment and Training Administration, Department of Labor; the social insurance programs of the Social Security Administration and the Health Care Financing Administration, Department of Health and Human Services; the federal income tax program of the Internal Revenue Service, Department of the Treasury; the veterans benefit programs of the Department of Veterans Affairs; and the military payroll systems of the Department of Defense. The remaining 10 percent of the estimates are based on data from other sources. For example, the estimates of the components of farm proprietors’ income, a component of personal income, are partly based on the state estimates State and Metropolitan Area Data Book: 2006

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of farm income and the county estimates of case receipts, crop production, and livestock inventory that are prepared by the Department of Agriculture, which uses sample surveys, along with census data and administrative records data, to derive its estimates. Total earnings cover wage and salary disbursements, other labor income, and proprietors’ income. Wage and salary disbursements are defined as monetary remuneration of employees, including corporate officers; commissions, tips, and bonuses; and pay-in-kind that represents income to the recipient. They are measured before such deductions as social security contributions and union dues. All disbursements in the current period are covered. Pay-in-kind represents allowances for food, clothing, and lodging paid in kind to employees, which represent income to them, valued at the cost to the employer. Other labor income consists of employer contributions to privately administered pension and welfare funds and a few small items such as directors’ fees, compensation of prison inmates, and miscellaneous judicial fees. Proprietors’ income is the monetary income and income in-kind of proprietorships and partnerships, including the independent professions, and of tax-exempt cooperatives. Table B-9. Labor Force and Private Business Establishments and Employment Civilian labor force, Total, 2003–2004; Percent change, 2000–2003; Unemployment, total and rate. Private nonfarm businesses, Establishments, 2002; Employment, 2002; Percent change, 2000–2002; Annual payroll per employee, 2002. Sources: Civilian labor force—U.S. Bureau of Labor Statistics, Local Area Unemployment Statistics, Annual Averages; see Internet site (accessed 18 August 2005); Private nonfarm businesses—U.S. Census Bureau, County Business Patterns on CD-ROM; issued April 2003 and December 2004. Civilian Labor Force Civilian labor force data are the product of a federal-state cooperative program in which state employment security agencies prepare labor force and unemployment estimates under concepts, definitions, and technical procedures established by the BLS. These data for substate areas are produced by the BLS primarily for use in allocating funds under various federal legislative programs. Users of these data are cautioned that, because of the small size of many of the areas, as well as limitations of the data inputs, the estimates are subject to considerable, but nonquantifiable, error. An explanation of the technical procedures used to A–65



develop monthly and annual local area labor force estimates appears monthly in the Explanatory Note for state and area unemployment data in the BLS periodical Employment and Earnings. Additional information may also be found at the BLS Web site at . The civilian labor force comprises all civilians 16 years old and over classified as employed or unemployed. Employed persons are all civilians who, during the survey week, did any work at all as paid employees in their own business, profession, or on their own farm or who worked 15 hours or more as unpaid workers in an enterprise operated by a member of the family. It also includes all those who were not working but who had jobs or businesses from which they were temporarily absent because of illness, bad weather, vacation, labor-management disputes, job training, or personal reasons, whether they were paid for the time off or were seeking other jobs. Each employed person is counted only once. Those who held more than one job are counted in the job at which they worked the greatest number of hours during the survey week, the calendar week including the 12th of the month. Unemployed persons are all civilians 16 years old and over who had no employment during the survey week, were available for work, except for temporary illness, and had made specific efforts to find employment some time during the prior 4 weeks. Persons who were laid off or were waiting to report to a new job within 30 days did not need to be looking for work to be classified as unemployed. The unemployment rate for all civilian workers represents the number of unemployed as a percent of the civilian labor force. County Business Patterns (CBP) is an annual series that provides subnational economic data by industry. The series is useful for studying the economic activity of small areas; analyzing economic changes over time; and as a benchmark for statistical series, surveys, and databases between economic censuses. CBP covers most of the country’s economic activity. The series excludes data on self-employed individuals, employees of private households, railroad employees, agricultural production employees, and most government employees. The County Business Patterns program has tabulated on a North American Industry Classification System (NAICS) basis since 1998. Data for 1997 and earlier years are based on the Standard Industrial Classification (SIC) System. For more information on the relationship between the two systems, see the Bridge Between NAICS and SIC. CBP data are extracted from the Business Register, the Census Bureau’s file of all known single- and multiestablishment companies. The Annual Company Organization Survey and quinquennial economic censuses provide individual establishment data for multilocation firms. Data for single-location firms are obtained from various programs’ A–66



censuses, the Annual Survey of Manufactures, and Current Business Surveys, as well as from administrative records of the Internal Revenue Service (IRS), the Social Security Administration (SSA), and the Bureau of Labor Statistics (BLS). An establishment is a single physical location at which business is conducted or services or industrial operations are performed. It is not necessarily identical with a company or enterprise, which may consist of one or more establishments. When two or more activities are carried on at a single location under a single ownership, all activities generally are grouped together as a single establishment. The entire establishment is classified on the basis of its major activity, and all data are included in that classification. Establishment-size designations are determined by paid employment in the mid-March pay period. The size group ‘‘1 to 4’’ includes establishments that did not report any paid employees in the mid-March pay period but paid wages to at least one employee at some time during the year. Establishment counts represent the number of locations with paid employees any time during the year. This series excludes governmental establishments except for wholesale liquor establishments (NAICS 4248), retail liquor stores (NAICS 44531), federally chartered savings institutions (NAICS 522120), federally chartered credit unions (NAICS 522130), and hospitals (NAICS 622). Total payroll includes all forms of compensation, such as salaries, wages, reported tips, commissions, bonuses, vacation allowances, sick-leave pay, employee contributions to qualified pension plans, and the value of taxable fringe benefits. For corporations, it includes amounts paid to officers and executives; for unincorporated businesses, it does not include profit or other compensation of proprietors or partners. Payroll is reported before deductions for social security, income tax, insurance, union dues, etc. First-quarter payroll consists of payroll during the Januaryto-March quarter. Paid employment consists of full- and part-time employees, including salaried officers and executives of corporations, who are on the payroll in the pay period including March 12. Included are employees on paid sick leave, holidays, and vacations; not included are proprietors and partners of unincorporated businesses. Table B-10. Banking, Retail Trade, and Accommodation and Food Services Banking, 2004, Number of offices; Deposits (millions of dollars); Retail trade, 2002, Total (NAICS 44–45)—establishments with payroll; State and Metropolitan Area Data Book: 2006

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Sales of establishments with payroll; Annual payroll; Paid employees; Accommodation and food services, 2002, Total (NAICS 72); Accommodation (NAICS 721) and food services and drinking places (NAICS 722), Establishments with payroll; Sales of establishments with payroll; Annual payroll; Paid employees. Sources: Banking—U.S. Federal Deposit Insurance Corporation (FDIC) and Office of Thrift Supervision (OTS), 2004 Bank and Thrift Branch Office Data Book: Summary of Deposits, (accessed 5 April 2005); Retail trade—U.S. Census Bureau, 1997 and 2002 economic censuses, Geographic Area Series reports, (accessed 6 June 2005); Accommodation and food services—U.S. Census Bureau, 1997 and 2002 Geographic Area Series reports, (accessed 13 July 2005). Banking The FDIC and OTS collect deposit data on each office of every FDIC-insured bank and saving association as of June 30 of each year in the Summary of Deposits (SOD) survey. The FDIC surveys all FDIC-insured commercial banks, savings banks, and U.S. branches of foreign banks, and the OTS surveys all savings associations. Data presented here exclude U.S. branch offices of foreign banks. For all counties, individual banking offices—not the combined totals of the bank—are the source of the data. Insured savings institutions include all FDIC-insured (OTS-regulated and FDIC-regulated) financial institutions that operate under federal or state banking charters. The number of banking offices in any given area includes every location at which deposit business is transacted. Banking office is defined to include all offices and facilities that actually hold deposits, but to exclude loan production offices, computer centers, and other nondeposit installations, such as automated teller machines (ATMs). The term ‘‘offices’’ includes both main offices and branches. An institution with four branches operates a total of five offices. Retail trade data presented are based on the North American Industry Classification System (NAICS) for 2002 and are not entirely comparable with previous data for earlier economic censuses (see General Note for Economic Censuses). The data cover only establishments with payroll. The retail sector (NAICS codes 4445) comprises establishments engaged in retailing merchandise, generally without transformation, and rendering services incidental to the sale of merchandise. The retailing process is the final step State and Metropolitan Area Data Book: 2006

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in the distribution of merchandise; retailers are, therefore, organized to sell merchandise in small quantities to the general public. This sector comprises two main types of retailers: store (operate fixed point-of-sale locations, located and designed to attract a high volume of walk-in customers) and nonstore retailers (establishments of this subsector reach customers and market merchandise with methods such as the broadcasting of ‘‘infomercials,’’ the broadcasting and publishing of direct-response advertising, the publishing of paper and electronic catalogs, doorto-door solicitation, in-home demonstration, selling from portable stalls (street vendors, except food), and distribution through vending machines). An establishment is a single physical location at which business is conducted or where services or industrial operations are performed. It is not necessarily identical with the company or enterprise, which may consist of one or more establishments. The count of establishments represents the number in business at any time during the year. Sales include merchandise sold for cash or credit at retail and wholesale by establishments primarily engaged in retail trade; amounts received from customers for layaway purchases; receipts from rental of vehicles, equipment, instruments, tools, etc.; receipts for delivery, installation, maintenance, repair, alteration, storage, and other services; the total value of service contracts; gasoline, liquor, tobacco, and other excise taxes that are paid by the manufacturer or wholesaler and passed on to the retailer; and shipping and handling receipts. Sales are net after deductions for refunds and allowances for merchandise returned by customers. Trade-in allowances are not deducted from sales. Sales do not include carrying or other credit charges; sales and other taxes (including Hawaii’s General Excise Tax) collected from customers and forwarded to taxing authorities; gross sales and receipts of departments or concessions operated by other companies; and commissions or receipts from the sale of government lottery tickets. Sales do not include retail sales made by manufacturers, wholesalers, service establishments, or other businesses whose primary activity is other than retail trade. They do include receipts other than from the sale of merchandise at retail, e.g., service receipts, sales to industrial users, and sales to other retailers, by establishments primarily engaged in retail trade. Sales figures represent the sales of all establishments in business at any time during the year. Payroll includes all forms of compensation such as salaries, wages, commissions, dismissal pay, bonuses, vacation allowances, sick-leave pay, and employee contributions to qualified pension plans paid during the year to all employees and reported on Internal Revenue Service (IRS) Form 941 as taxable Medicare wages and tips (even if not subject to income or FICA tax). Includes tips and gratuities A–67



received by employees from patrons and reported to employers. Excludes payrolls of departments or concessions operated by other companies at the establishment. For corporations, payroll includes amounts paid to officers and executives; for unincorporated businesses, it does not include profit or other compensation of proprietors or partners. Payroll is reported before deductions for social security, income tax, insurance, union dues, etc. This definition of payroll is the same as that used by the IRS on Form 941. Paid employees consist of full-time and part-time employees, including salaried officers and executives of corporations, who were on the payroll during the pay period including March 12. Included are employees on paid sick leave, paid holidays, and paid vacations; not included are proprietors and partners of unincorporated businesses; employees of departments or concessions operated by other companies at the establishment; fulland part-time leased employees whose payroll was filed under an employee leasing company’s Employer Identification Number (EIN); and temporary staffing obtained from a staffing service. The definition of paid employees is the same as that used by the Internal Revenue Service (IRS) on Form 941. Accommodation and food services data presented are based on the North American Industry Classification System (NAICS) for 2002. The data cover only establishments with payroll. The accommodation and food service sector (NAICS codes 72) comprises establishments providing customers with lodging and/or prepared meals, snacks, and beverages for immediate consumption. This sector is comprised of hotels and other lodging places that were formerly classified in the Standard Industrial Classification (SIC) system in Division I, Services, and eating and drinking places and mobile food services that were classified in SIC Division G, Retail Trade. This new sector includes both accommodation and food services establishments because the two activities are often combined at the same establishment. Excluded from this sector are civic and social organizations, amusement and recreation parks, theaters, and other recreation or entertainment facilities providing food and beverage services. For definitions of establishments, paid employees, and annual payroll, see Retail Trade above. Sales in the food services sector cover the industries in the Food Services and Drinking Places subsector that prepares meals, snacks, and beverages to customer order for immediate on-premises and off-premises consumption. There is a wide range of establishments in these industries. Some provide food and drink only, while others provide various combinations of seating space, waiter/waitress services, and incidental amenities, such as limited entertainment. The industries in the subsector are grouped based on the type and level of services provided. A–68



The industry groups are full-service restaurants; limitedservice eating places; special food services, such as food service contractors, caterers, and mobile food services, and drinking places. Table B-11. Government Federal funds and grants—total, 2000, 2003, Total expenditures; Percent change, 2002–2003; Per capita; Percent—direct payments to individuals; Government, Earnings—total, 2000, 2002, Percent of total earnings; Percent change, 2000–2002; Employment—total, 2000, 2002, Percent of total employment; Percent change, 2000–2002. Sources: Federal funds and grants—U.S. Census Bureau, Consolidated Federal Funds Report, annual, see Internet site ; Government earnings and employment—U.S. Bureau of Economic Analysis, Regional Economic Information System (REIS) 1969–2002 on CD-ROM (related Internet site: ). Direct payments for individuals is taken from information reported to the Federal Assistance Awards Data System. The two object areas of direct payments for individuals are (1) direct payments for retirement and disability benefits and (2) all other direct payments for individuals. Table C-1. Population and Population Characteristics Population—total, 2005, 2004, 2000, 1990, Net change; Percent change; Percent, 65 years and over, 2003; Black or African American alone; Asian alone; Hispanic or Latino origin. Sources: U.S. Census Bureau, 2000 to 2005 compiled from ‘‘Population Estimates by County’’ and ‘‘Population Estimates, Cumulative Estimates of the Components of Population Change for Counties: April 1, 2000 to July 1, 2005’’ ; 1990, ‘‘Population Estimates: Annual Time Series,’’ archive 1990 (revised data for April 1, 1990, Population Estimates base) ; Age, race, and Hispanic population—U.S. Census Bureau, ‘‘County Characteristic Population Estimates Data,’’ . State and Metropolitan Area Data Book: 2006

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See Tables B-1, B-2, and B-3, State and Metropolitan Area Data Book: 2006. For more information, see , , and . Table C-2. Population Characteristics and Housing Units Educational attainment, 2000, Percent; Foreign born, 2000, Percent; Workers 16 years and over, Total; Percent of workers who drove alone to work; Persons below poverty level in 1999, Total; Percent; Housing units, 2000, 2004, Change—number, percent. Source: Educational attainment, foreign born, commuting, and poverty—U.S. Census Bureau, 2000 Census of Population and Housing, Summary File 3 (SF3) (accessed 12 January 2004) and related Internet site at and 2000 Census of Population and Housing, Summary Social, Economic, and Housing Characteristics, PHC-2-1 to 52 and related Internet site at ; Housing units—U.S. Census Bureau, Annual Estimates of Housing Units for Counties: April 1, 2000 to July 1, 2004 at (accessed 14 November 2005). See Tables B-4 and B-7, State and Metropolitan Area Data Book: 2006. For more information, see . Table C-3. Personal Income and Earnings by Industry Personal income, 2000, 2001, 2002, Total; Per capita; Percent change; Earnings, percent by selected industries. Source: Personal income and earnings—U.S. Bureau of Economic Analysis, Regional Economic Information System (REIS) 1969–2002 on CD-ROM (related Internet site ). See Table B-8, State and Metropolitan Area Data Book: 2006. State and Metropolitan Area Data Book: 2006

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For more information, see Internet site . Table C-4. Civilian Labor Force and Private Nonfarm Businesses Civilian labor force, 2000, 2004, Total; Net change; Number of unemployed; Unemployment rate; Private labor force, 2002, Establishments—total, change; Employment—total, change; Annual payroll per employee—total, percent of national average. Sources: Civilian labor force—U.S. Bureau of Labor Statistics, Local Area Unemployment Statistics, Annual Averages; see Internet site (accessed 18 August 2005); Private nonfarm businesses—U.S. Census Bureau, County Business Patterns on CD-ROM; annual. See Table B-9, State and Metropolitan Area Data Book: 2006. For more information, see Internet site . Table D-1. Population and Personal Income Population, 1990, 2000, 2004, 2005, Net change, 2000–2005, 1990–2000; Percent change, 2000–2005, 1990–2000; Personal income, total, 2002, 2000, Per capita, 2002, 2000; Percent change, 2000–2002. Sources: Population—U.S. Census Bureau, 2000 to 2005 compiled from ‘‘Population Estimates by County,’’ published 16 March 2006; ; and ‘‘Population Estimates, Cumulative Estimates of the Components of Population Change for Counties,’’ published 16 March 2006; April 1, 2000, to July 1, 2005, ; 1990, ‘‘Population Estimates: Annual Time Series,’’ archive 1990 (revised data for April 1, 1990, Population Estimates base) ; Personal income—U.S. Bureau of Economic Analysis, Regional Economic Information System (REIS) 1969–2002 on CD-ROM, and related Internet site at (released 25 May 2004). See Tables B-1 and B-8, State and Metropolitan Area Data Book: 2006. For more information, see . A–69



Appendix B. Limitations of the Data and Methodology

INTRODUCTION The data presented in this State and Metropolitan Area Data Book came from many sources. The sources include not only federal statistical bureaus and other organizations that collect and issue statistics as their principal activity, but also governmental administrative and regulatory agencies, private research bodies, trade associations, insurance companies, health associations, and private organizations such as the National Education Association and philanthropic foundations. Consequently, the data vary considerably as to reference periods, definitions of terms and, for ongoing series, the number and frequency of time periods for which data are available. The statistics presented were obtained and tabulated by various means. Some statistics are based on complete enumerations or censuses while others are based on samples. Some information is extracted from records kept for administrative or regulatory purposes (school enrollment, hospital records, securities registration, financial accounts, social security records, income tax returns, etc.), while other information is obtained explicitly for statistical purposes through interviews or by mail. The estimation procedures used vary, from highly sophisticated scientific techniques to crude ‘‘informed guesses.’’ Each set of data relates to a group of individuals or units of interest referred to as the target universe or target population, or simply as the universe or population. Prior to data collection, the target universe should be clearly defined. For example, if data are to be collected for the universe of households in the United States, it is necessary to define a ‘‘household.’’ The target universe may not be completely controllable or ideal. Cost and other considerations may restrict data collection to a survey universe based on some available list; such list may be inaccurate or out of date. This list is called a survey frame or sampling frame. The data in many tables are based on data obtained for all population units, a census, or on data obtained for only a portion, or sample, of the population units. When the data presented are based on a sample, the sample is usually a scientifically selected probability sample. This is a sample selected from a list or sampling frame in such a way that every possible sample has a known chance of selection, and usually each unit selected can be assigned a number, greater than 0 and less than or equal to 1, representing its likelihood or probability of selection. State and Metropolitan Area Data Book: 2006

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For large-scale sample surveys, the probability sample of units is often selected as a multistage sample. The first stage of a multistage sample is the selection of a probability sample of large groups of population members, referred to as primary sampling units (PSUs). For example, in a national multistage household sample, PSUs are often counties or groups of counties. The second stage of a multistage sample is the selection, within each PSU selected at the first stage, of smaller groups of population units, referred to as secondary sampling units. In subsequent stages of selection, smaller and smaller nested groups are chosen until the ultimate sample of population units is obtained. To qualify a multistage sample as a probability sample, all stages of sampling must be carried out using probability sampling methods. Prior to selection at each stage of a multistage (or a singlestage) sample, a list of the sampling units or sampling frame for that stage must be obtained. For example, for the first stage of selection of a national household sample, a list of the counties and county groups that form the PSUs must be obtained. For the final stage of selection, lists of households, and sometimes persons within the households, have to be compiled in the field. For surveys of economic entities and for the economic censuses, the Census Bureau generally uses a frame constructed from the Census Bureau’s Business Register. The Business Register contains all establishments with payroll in the United States, including small single-establishment firms as well as large multiestablishment firms. Wherever the quantities in a table refer to an entire universe, but are constructed from data collected in a sample survey, the table quantities are referred to as sample estimates. In constructing a sample estimate, an attempt is made to come as close as is feasible to the corresponding universe quantity that would be obtained from a complete census of the universe. Estimates based on a sample will, however, generally differ from the hypothetical census figures. Two classifications of errors are associated with estimates based on sample surveys: (1) sampling error—the error arising from the use of a sample, rather than a census, to estimate population quantities—and (2) nonsampling error—those errors arising from nonsampling sources. As discussed below, the magnitude of the sampling error for an estimate can usually be estimated from the sample data. However, the magnitude of the nonsampling error for an estimate can rarely be estimated. Consequently, actual error in an estimate exceeds the error that can be estimated. B–1



The particular sample used in a survey is only one of a large number of possible samples of the same size, which could have been selected using the same sampling procedure. Estimates derived from the different samples would, in general, differ from each other. The standard error (SE) is a measure of the variation among the estimates derived from all possible samples. The standard error is the most commonly used measure of the sampling error of an estimate. Valid estimates of the standard errors of survey estimates can usually be calculated from the data collected in a probability sample. For convenience, the standard error is sometimes expressed as a percent of the estimate and is called the relative standard error or coefficient of variation (CV). For example, an estimate of 200 units with an estimated standard error of 10 units has an estimated CV of 5 percent. A sample estimate and an estimate of its standard error or CV can be used to construct interval estimates that have a prescribed confidence that the interval includes the average of the estimates derived from all possible samples with a known probability. To illustrate, if all possible samples were selected under essentially the same general conditions, and using the same sample design, and if an estimate and its estimated standard error were calculated from each sample, then: 1) approximately 68 percent of the intervals from one standard error below the estimate to one standard error above the estimate would include the average estimate derived from all possible samples; 2) approximately 90 percent of the intervals from 1.6 standard errors below the estimate to 1.6 standard errors above the estimate would include the average estimate derived from all possible samples; and 3) approximately 95 percent of the intervals from two standard errors below the estimate to two standard errors above the estimate would include the average estimate derived from all possible samples. Thus, for a particular sample, one can say with the appropriate level of confidence (e.g., 90 percent or 95 percent) that the average of all possible samples is included in the constructed interval. Example of a confidence interval: An estimate is 200 units with a standard error of 10 units. An approximately 90-percent confidence interval (plus or minus 1.6 standard errors) is from 184 to 216. All surveys and censuses are subject to nonsampling errors. Nonsampling errors are of two kinds: random and nonrandom. Random nonsampling errors arise because of the varying interpretation of questions (by respondents or interviewers) and varying actions of coders, keyers, and other processors. Some randomness is also introduced when respondents must estimate. Nonrandom nonsampling errors result from total nonresponse (no usable data obtained for a sampled unit), partial or item nonresponse (only a portion of a response may be usable), inability or B–2



unwillingness on the part of respondents to provide correct information, difficulty interpreting questions, mistakes in recording or keying data, errors of collection or processing, and coverage problems (overcoverage and undercoverage of the target universe). Random nonresponse errors usually, but not always, result in an understatement of sampling errors and thus an overstatement of the precision of survey estimates. Estimating the magnitude of nonsampling errors would require special experiments or access to independent data and, consequently, the magnitudes are seldom available. Nearly all types of nonsampling errors that affect surveys also occur in complete censuses. Since surveys can be conducted on a smaller scale than censuses, nonsampling errors can presumably be controlled more tightly. Relatively more funds and effort can perhaps be expended toward eliciting responses, detecting and correcting response error, and reducing processing errors. As a result, survey results can sometimes be more accurate than census results. To compensate for suspected nonrandom errors, adjustments of the sample estimates are often made. For example, adjustments are frequently made for nonresponse, both total and partial. Adjustments made for either type of nonresponse are often referred to as imputations. Imputation for total nonresponse is usually made by substituting the ‘‘average’’ questionnaire response(s) of the respondents for the questionnaire responses of the nonrespondents. These imputations usually are made separately within various groups of sample members, formed by attempting to place respondents and nonrespondents together that have ‘‘similar’’ design or ancillary characteristics. Imputation for item nonresponse is usually made by substituting for a missing item the response to that item of a respondent having characteristics that are ‘‘similar’’ to those of the nonrespondent. For an estimate calculated from a sample survey, the total error in the estimate is composed of the sampling error, which can usually be estimated from the sample, and the nonsampling error, which usually cannot be estimated from the sample. The total error present in a population quantity obtained from a complete census is composed of only nonsampling errors. Ideally, estimates of the total error associated with data given in these tables should be given. However, due to the unavailability of estimates of nonsampling errors, only estimates of the levels of sampling errors, in terms of estimated standard errors or coefficients of variation, are available. To obtain estimates of the estimated standard errors from the sample of interest, obtain a copy of the referenced report that appears at the end of each table. Source of Additional Material: The Federal Committee on Statistical Methodology (FCSM) is an interagency committee dedicated to improving the quality of federal statistics . State and Metropolitan Area Data Book: 2006

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Principal databases: Beginning below are brief descriptions of 19 of the sample surveys, censuses, and administrative collections that provide a substantial portion of the data contained in this publication. U.S. DEPARTMENT OF AGRICULTURE National Agricultural Statistics Service (NASS) Census of Agriculture Universe, Frequency, and Types of Data: Complete count of U.S. farms and ranches conducted once every 5 years with data at the national, state, and county level. Data published on farm numbers and related items/characteristics. Type of Data Collection Operation: Complete census for number of farms; land in farms; agricultural products sold; total cropland; irrigated land; farm operator characteristics; livestock and poultry inventory and sales; and selected crops harvested. Market value of land and buildings, total farm production expenses, machinery and equipment, fertilizer and chemicals, and farm labor are estimated from a sample of farms. Data Collection and Imputation Procedures: Data collection takes place by mailing questionnaires to all farmers and ranchers. Nonrespondents are contacted by telephone and correspondence follow-ups. Imputations were made for all nonresponse items/characteristics. Coverage adjustments were made to account for missed farms and ranches. Estimates of Sampling Error: Variability in the estimates is due to the sample selection and estimation for items collected by sample and census nonresponse and coverage estimation procedures. The CVs for national and state estimates are generally very small. The response rate is approximately 81 percent. Other (nonsampling) Errors: Nonsampling errors are due to incompleteness of the census mailing list, duplications on the list, respondent reporting errors, errors in editing reported data, and in imputation for missing data. Evaluation studies are conducted to measure certain nonsampling errors such as list coverage and classification error. Results from the evaluation program for the 2002 census indicate the net undercoverage amounted to about 18 percent of the nation’s total farms. Sources of Additional Material: U.S. Department of Agriculture, NASS, 2002 Census of Agriculture, Volume 1, Subject Series C, Part 1, Agricultural Atlas of the U.S.; Part 2, Coverage Evaluation; Part 3, Rankings of States and Counties. Multiple Frame Surveys Universe, Frequency, and Types of Data: Surveys of U.S. farm operators are taken to obtain data on major livestock inventories, selected crop acreage and production, grain stocks, and farm labor characteristics; farm economic data and chemical use data. State and Metropolitan Area Data Book: 2006

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Type of Data Collection Operation: Primary frame is obtained from general or special purpose lists, supplemented by a probability sample of land areas used to estimate for list incompleteness. Data Collection and Imputation Procedures: Mail, telephone, or personal interviews used for initial data collection. Mail nonrespondent follow-up by phone and personal interviews. Imputation based on average of respondents. Estimates of Sampling Error: Estimated CV for number of hired farm workers is about 3 percent. Estimated CVs range from 1 percent to 2 percent for regional estimates to 3 percent to 6 percent for state estimates of livestock inventories and crop acreage. Other (nonsampling) Errors: In addition to above, replicated sampling procedures used to monitor effects of changes in survey procedures. Sources of Additional Material: U.S. Department of Agriculture, National Agricultural Statistics Service, National Agricultural Statistics Service: The Fact Finders of Agriculture, September 1994. U.S. BUREAU OF LABOR STATISTICS Current Employment Statistics (CES) Program Universe, Frequency, and Types of Data: Monthly survey drawn from a sampling frame of over 8 million unemployment insurance tax accounts in order to obtain data by industry on employment, hours, and earnings. Type of Data Collection Operation: In 2004, the CES sample included about 160,000 businesses and government agencies, which represent approximately 400,000 individual work sites. Data Collection and Imputation Procedures: Each month, the state agencies cooperating with BLS, as well as BLS Data Collection Centers, collect data through various automated collection modes and mail. BLS-Washington staff prepares national estimates of employment, hours, and earnings while states use the data to develop state and area estimates. Estimates of Sampling Errors: The relative standard error for total nonfarm employment is 0.1 percent. Other (nonsampling) Errors: Estimates of employment adjusted annually to reflect complete universe. The average adjustment is 0.3 percent over the last decade, with an absolute range from less than 0.05 percent to 0.5 percent. Sources of Additional Material: U.S. Bureau of Labor Statistics, Employment and Earnings, monthly, Explanatory Notes and Estimates of Errors, Tables 2-A through 2-F. See also the BLS Handbook of Methods, Chapter 1, Labor Force B–3



Data Derived from the Current Population Survey, and Chapter 2, Employment, Hours, and Earnings from the Establishment Survey. The BLS Handbook may be found at . U.S. DEPARTMENT OF COMMERCE U.S. Bureau of Economic Analysis (BEA) Regional Economic Information System (REIS) Universe, Frequency, and Types of Data: The Regional Economic Information System contains estimates of personal income and its components and employment for local areas, such as states, counties, metropolitan areas, and micropolitan areas. Type of Data Collection Operation: The estimates of personal income are primarily based on administrative records data, census data, and survey data. Data Collection and Imputation Procedures: The data are collected from administrative records, which may come from the recipients of the income or from the sources of the income. These data are a byproduct of the administration of various federal and state government programs. The most important sources of these data are the state unemployment insurance programs of the Bureau of Labor Statistics, social insurance programs of the Centers for Medicare and Medicaid Services, the federal income tax program of the Internal Revenue Service, veterans benefit programs of the U.S. Department of Veterans Affairs, and military payroll systems of the U.S. Department of Defense. The data from censuses are mainly collected from the recipients of income. The most important sources for these data are the Census of Agriculture at the U.S. Department of Agriculture (USDA) and the Census of Population and Housing conducted by the U.S. Census Bureau. Other sources may include estimates of farm proprietors’ income by the USDA, wages and salaries from County Business Patterns from the Census Bureau, and the Quarterly Census of Employment and Wages by the Department of Labor. Estimates of Sampling Error: Not applicable, except component variables may be subject to error. Other (nonsampling) Errors: Nonsampling errors in the administrative datasets may affect personal income estimates. Sources of Additional Material: U.S. Bureau of Economic Analysis, Local Area Personal Income and Employment Methodology, 1997–2003. See also . Methodological information on other BEA datasets such as ‘‘State Personal Income’’ and ‘‘Gross State Product’’ may be found at . B–4



U.S. Census Bureau American Community Survey (ACS) Universe, Frequency, and Types of Data: Nationwide survey to obtain data about demographic, social, economic, and housing characteristics of people, households, and housing units. Covers household population and excludes the population living in institutions, college dormitories, and other group quarters. Type of Data Collection Operation: Two-stage stratified annual sample of approximately 829,000 housing units. The ACS samples housing units from the Master Address File (MAF). The first stage of sampling involves dividing the United States into primary sampling units (PSUs), most of which comprise a metropolitan area, a large county, or a group of smaller counties. Every PSU falls within the boundary of a state. The PSUs are then grouped into strata on the basis of independent information; that is, information obtained from the decennial census or other sources. The strata are constructed so that they are as homogeneous as possible with respect to social and economic characteristics that are considered important by ACS data users. A pair of PSUs were selected from each stratum. The probability of selection for each PSU in the stratum is proportional to its estimated 1996 population. In the second stage of sampling, a sample of housing units within the sample PSUs is drawn. Ultimate sampling units (USUs) are housing units. The USUs sampled in the second stage consist of housing units that are systematically drawn from sorted lists of addresses of housing units from the MAF. Data Collection and Imputation Procedures: The American Community Survey (ACS) is conducted every month on independent samples. Each housing unit in the independent monthly samples is mailed a prenotice letter announcing the selection of the address to participate, a survey questionnaire package, and a reminder postcard. These sample units receive a second (replacement) questionnaire package if the initial questionnaire is not returned by a scheduled date. In the mailout/mailback sites, sample units for which a questionnaire is not returned in the mail and for which a telephone number is available are defined as the telephone nonresponse follow-up universe. Interviewers attempt to contact and interview these mail nonresponse cases. Sample units from all sites that are still unresponsive 2 months after the mailing of the survey questionnaires and directly after the completion of the telephone follow-up operation are subsampled at a rate of 1 in 3. The selected nonresponse units are assigned to field representatives, who visit the units, verify their existence or declare them nonexistent, determine their occupancy status, and conduct interviews. After data collection is completed, any remaining incomplete or inconsistent information was imputed during the final automated edit of the collected data. State and Metropolitan Area Data Book: 2006

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Estimates of Sampling Error: The data in the ACS products are estimates of the actual figures that would have been obtained by interviewing the entire population using the same methodology. The estimates from the chosen sample also differ from other samples of housing units and persons within those housing units. Other (nonsampling) Errors: In addition to sampling error, data users should realize that other types of errors may be introduced during any of the various complex operations used to collect and process survey data. An important goal of the ACS is to minimize the amount of nonsampling error introduced through nonresponse for sample housing units. One way of this is by following up on mail nonrespondents. Sources of Additional Material: U.S. Census Bureau, American Community Survey Web site available on the Internet, . U.S. Census Bureau, American Community Survey, Accuracy of the Data documents available on the Internet, . Annual Survey of Manufactures (ASM) Universe, Frequency, and Types of Data: The Annual Survey of Manufactures (ASM) is conducted annually, except for years ending in 2 and 7, for all manufacturing establishments having one or more paid employees. The purpose of the ASM is to provide key intercensal measures of manufacturing activity, products, and location for the public and private sectors. The ASM provides statistics on employment, payroll, worker hours, payroll supplements, cost of materials, value added by manufacturing, capital expenditures, inventories, and energy consumption. It also provides estimates of value of shipments for 1,800 classes of manufactured products. Type of Data Collection Operation: The ASM includes approximately 57,000 establishments selected from the census universe of 366,000 manufacturing establishments. Some 27,000 large establishments are selected with certainty, and some 30,000 other establishments are selected with probability proportional to a composite measure of establishment size. The survey is updated from two sources: Internal Revenue Service administrative records are used to include new single-unit manufacturers, and the Company Organization Survey identifies new establishments of multiunit forms. Data Collection and Imputation Procedures: The survey is conducted by mail with phone and mail follow-ups of nonrespondents. Imputation (for all nonresponse items) is based on previous year reports, or for new establishments in survey, on industry averages. Estimates of Sampling Error: Estimated standard errors for number of employees, new expenditures, and for State and Metropolitan Area Data Book: 2006

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value-added totals are given in annual publications. For U.S.-level industry statistics, most estimated standard errors are 2 percent or less, but vary considerably for detailed characteristics. Other (nonsampling) Errors: Response rate is about 85 percent. Nonsampling errors include those due to collection, reporting, and transcription errors, many of which are corrected through computer and clerical checks. Sources of Additional Material: U.S. Census Bureau, Annual Survey of Manufactures, and Technical Paper 24; . Annual Surveys of State and Local Government Universe, Frequency, and Types of Data: Sample survey conducted annually to obtain data on revenue, expenditure, debt, and employment of state and local governments. Universe is all governmental units in the United States (about 87,500). Type of Data Collection Operation: Sample survey includes all state governments, county governments with 100,000 and over population, municipalities with 75,000 and over population, townships with 50,000 and over population, all independent school districts with 10,000 and over enrollment in March 2002, all school districts providing college-level (postsecondary) education, and other governments meeting certain criteria; probability sample for remaining units. Data Collection and Imputation Procedures: Field and office compilation of data from official records and reports for states and large local governments; central collection of local governmental financial data through cooperative agreements with a number of state governments; mail canvass of other units with mail and telephone follow-ups of nonrespondents. Data for nonresponses are imputed from previous year data or obtained from secondary sources, if available. Estimates of Sampling Error: State and local government totals are generally subject to sampling variability of less than 3 percent. Other (nonsampling) Errors: Nonresponse rate is less than 10 percent for local governments. Other possible errors may result from undetected inaccuracies in classification, response, and processing. Sources of Additional Material: U.S. Census Bureau, ; U.S. Census Bureau, Public Employment in 1992, GE 92, No. 1, Governmental Finances in GF 92, No. 5, and Census of Governments, 1997 and 2002, various reports. Web site references: Census of Governments at and . Employment state and B–5



local site: and finance state and local site: . 2002 Economic Census (Industry Series, Geographic Area Series Reports) (for NAICS sectors 22, 31–33, 42, 44–45, 48–49, and 51–81) Universe, Frequency, and Types of Data: Conducted every 5 years to obtain data on number of establishments, number of employees, total payroll size, total sales/receipts/revenue, and other industry-specific statistics. In 2002, the universe was all employer and nonemployer establishments primarily engaged in wholesale, retail, utilities, finance and insurance, real estate, transportation and warehousing, information, education, health care, and other service industries. Type of Data Collection Operation: All large employer firms were surveyed (i.e., all employer firms above payroll size cutoffs established to separate large from small employers) plus a 5 percent to 25 percent sample of the small employer firms. Firms with no employees were not required to file a census return. Data Collection and Imputation Procedures: Mail questionnaires were used with both mail and telephone follow-ups for nonrespondents. Data for nonrespondents and for small employer firms not mailed a questionnaire were obtained from administrative records of other federal agencies or imputed. Nonemployer data were obtained exclusively from IRS 2002 income tax returns. Estimates of Sampling Error: Not applicable for basic data such as sales, revenue, receipts, payroll, etc. Other (nonsampling) Errors: Establishment response rates by NAICS sector in 2002 ranged from 80 percent to 89 percent. Item response rates generally ranged from 50 percent to 90 percent, with lower rates for the more detailed questions. Nonsampling errors may occur during the collection, reporting, and keying of data, and due to industry misclassification. Sources of Additional Material: U.S. Census Bureau, 2002 Economic Census: Geographic Area Series Reports (by NAICS sector), Appendix C, and . Census of Population Universe, Frequency, and Types of Data: Complete count of U.S. population conducted every 10 years since 1790. Data obtained on number and characteristics of people in the United States. Type of Data Collection Operation: In 1980, 1990, and 2000, complete census for some items: age, date of birth, sex, race, and relationship to householder. In 1980, approximately 19 percent of the housing units were included in the sample; in 1990 and 2000, approximately 17 percent. B–6



Data Collection and Imputation Procedures: In 1980, 1990, and 2000, mail questionnaires were used extensively, with personal interviews in the remainder. Extensive telephone and personal follow-up for nonrespondents was done in the censuses. Imputations were made for missing characteristics. Estimates of Sampling Error: Sampling errors for data are estimated for all items collected by sample and vary by characteristic and geographic area. The coefficients of variation (CVs) for national and state estimates are generally very small. Other (nonsampling) Errors: Since 1950, evaluation programs have been conducted to provide information on the magnitude of some sources of nonsampling errors such as response bias and undercoverage in each census. Results from the evaluation program for the 1990 census indicated that the estimated net undercoverage amounted to about 1.5 percent of the total resident population. For Census 2000, the evaluation program indicates a net overcount of 0.5 percent of the resident population. Sources of Additional Material: U.S. Census Bureau, 1990 Census of Population and Housing, Content Reinterview Survey: Accuracy of Data for Selected Population and Housing Characteristics as measured by Reinterview, CPHE-1; 1990 Census of Population and Housing, Effectiveness of Quality Assurance, CPH-E-2; Programs to Improve Coverage in the 1990 Census, CPH-E-3. For Census 2000, see . County Business Patterns Universe, Frequency, and Types of Data: County Business Patterns is an annual tabulation of basic data items extracted from the Business Register, a file of all known single- and multilocation companies, maintained and updated by the Census Bureau. Data include number of establishments, number of employees, first quarter and annual payrolls, and number of establishments by employment size class. Data are excluded for self-employed persons, domestic service workers, railroad employees, agricultural production workers, and most government employees. Type of Data Collection Operation: The annual Company Organization Survey provides individual establishment data for multilocation companies. Data for single establishment companies are obtained from various Census Bureau programs, such as the Annual Survey of Manufactures and Current Business Surveys, as well as from administrative records of the Internal Revenue Service and the Social Security Administration. Estimates of Sampling Error: Not applicable. Other (nonsampling) Error: The data are subject to nonsampling errors, such as industry classification errors, as well as errors of response, keying, and nonreporting. State and Metropolitan Area Data Book: 2006

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Sources of Additional Material: U.S. Census Bureau, General Explanation of County Business Patterns. See also ‘‘Frequently Asked County Business Patterns (CBP) Questions’’ at . Current Population Survey (CPS) Universe, Frequency, and Types of Data: Nationwide monthly sample survey of civilian noninstitutionalized population, 15 years old or over, to obtain data on employment, unemployment, and a number of other characteristics. Type of Data Collection Operation: Multistage probability sample of about 50,000 households in 754 PSUs in 1996 expanded to about 60,000 households in July 2001. Oversampling in some states and the largest MSAs to improve reliability for those areas of employment data on annual average basis. A continual sample rotation system is used. Households are in sample 4 months, out for 8 months, and in for 4 more. Month-to-month overlap is 75 percent; year-to-year overlap is 50 percent. Data Collection and Imputation Procedures: For first and fifth months that a household is in sample, personal interviews; other months, approximately 85 percent of the data is collected by phone. Imputation is done for both item and total nonresponse. Adjustment for total nonresponse is done by a predefined cluster of units, by MSA size and residence; for item nonresponse, imputation varies by subject matter. Estimates of Sampling Error: Estimated CVs on national annual averages for labor force, total employment, and nonagricultural employment, 0.2 percent; for total unemployment and agricultural employment, 1.0 percent to 2.5 percent. The estimated CVs for family income and poverty rate for all persons are 0.5 percent and 1.5 percent, respectively. CVs for subnational areas, such as states, would be larger and would vary by area. Other (nonsampling) Errors: Estimates of response bias on unemployment are not available, but estimates of unemployment are usually 5 percent to 9 percent lower than estimates from reinterviews. Six to 7 percent of sample households are unavailable for interviews. Sources of Additional Material: U.S. Census Bureau and Bureau of Labor Statistics, Current Population Survey, Design and Methodology, Technical Paper 63RV, issued March 2002, available at ; and Bureau of Labor Statistics, Employment and Earnings, monthly, Explanatory Notes and Estimates of Error, Household Data and BLS Handbook of Methods, Chapter 1, available at . Monthly Survey of Construction Universe, Frequency, and Types of Data: Survey conducted monthly of newly constructed housing units State and Metropolitan Area Data Book: 2006

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(excluding mobile homes). Data are collected on the start, completion, and sale of housing. (Annual figures are aggregates of monthly estimates.) Type of Data Collection Operation: For permit-issuing places, probability sample of 850 housing units obtained from 19,000 permit-issuing places. For nonpermit places, multistage probability sample of new housing units selected in 169 PSUs. In those areas, all roads are canvassed in selected enumeration districts. Data Collection and Imputation Procedures: Data are obtained by telephone inquiry and field visit. Estimates of Sampling Error: Estimated CV of 3 percent to 4 percent for estimates of national totals, but may be for estimated totals of more detailed characteristics, such as housing units in multiunit structures. Other (nonsampling) Errors: Response rate is over 90 percent for most items. Nonsampling errors are attributed to definitional problems, differences in interpretation of questions, incorrect reporting, inability to obtain information about all cases in the sample, and processing errors. Sources of Additional Material: U.S. Census Bureau, ‘‘New Residential Construction’’ at . Nonemployer Statistics Universe, Frequency, and Types of Data: Nonemployer statistics are an annual tabulation of economic data by industry for active businesses without paid employees that are subject to federal income tax. Data showing the number of establishments and receipts by industry are available for the United States, states, counties, and metropolitan areas. Most types of businesses covered by the Census Bureau’s economic statistics programs are included in the nonemployer statistics. Tax-exempt and agricultural production businesses are excluded from nonemployer statistics. Type of Data Collection Operation: The universe of nonemployer establishments is created annually as a by-product of the Census Bureau’s Business Register processing for employer establishments. If a business is active but without paid employees, then it becomes part of the potential nonemployer universe. Industry classification and receipts are available for each potential nonemployer business. These data are obtained primarily from the annual business income tax returns of the Internal Revenue Service (IRS). The potential nonemployer universe undergoes a series of complex processing, editing, and analytical review procedures at the Census Bureau to distinguish nonemployers from employers, and to correct and complete data items used in creating the data tables. Estimates of Sampling Error: Not applicable. B–7



Other (nonsampling) Errors: The data are subject to nonsampling errors, such as errors of self-classification by industry on tax forms, as well as errors of response, keying, nonreporting, and coverage. Sources of Additional Material: U.S. Census Bureau, Nonemployer Statistics: 2002, Introduction; Coverage and Methodology. See also . Population Estimates Universe, Frequency, and Types of Data: The U.S. Census Bureau annually produces estimates of total resident population for each state and county. County population estimates are produced with a component of population change method, while the state population estimates are solely the sum of the county populations. Type of Data Collection Operation: The Census Bureau develops county population estimates with a demographic procedure called an ‘‘administrative records component of population change’’ method. A major assumption underlying this approach is that the components of population change are closely approximated by administrative data in a demographic change model. In order to apply the model, Census Bureau demographers estimate each component of population change separately. For the population residing in households, the components of population change are births, deaths, and net migration, including net international migration. For the nonhousehold population, change is represented by the net change in the population living in group quarters facilities. Estimates of Sampling Error: Not applicable. Other (nonsampling) Errors: Not available. Sources of Additional Material: U.S. Census Bureau, ‘‘Estimates and Projections Area Documentation, State and County Total Population Estimates,’’ at . For methodological information on other population estimates datasets, such as ‘‘Housing Unit Estimates’’ and ‘‘State Population Estimates by Age, Sex, Race, and Hispanic Origin,’’ see . U.S. DEPARTMENT OF EDUCATION National Center for Education Statistics Higher Education General Information Survey (HEGIS), Degrees and Other Formal Awards Conferred. Beginning 1986, Integrated Postsecondary Education Data Survey (IPEDS), Completions Universe, Frequency, and Types of Data: Annual survey of all institutions and branches listed in the Education Directory, Colleges and Universities to obtain data on B–8



earned degrees and other formal awards, conferred by field of study, level of degree, sex, and by racial/ethnic characteristics (every other year prior to 1989, then annually). Type of Data Collection Operation: Complete census. Data Collection and Imputation Procedures: Data are collected through a Web-based survey in the fall of every year. Missing data are imputed by using data of similar institutions. Estimates of Sampling Error: Not applicable. Other (nonsampling) Errors: For 2002–2003, approximately 100.0 percent response rate for degree-granting institutions. Sources of Additional Material: U.S. Department of Education, National Center for Education Statistics, Postsecondary Institutions in the United States: Fall 2003 and Degrees and Other Awards Conferred: 2002–03. For additional information, see Web site at . U.S. FEDERAL BUREAU OF INVESTIGATION Uniform Crime Reporting (UCR) Program Universe, Frequency, and Types of Data: Monthly reports on the number of criminal offenses that become known to law enforcement agencies. Data are collected on crimes cleared by arrest; by age, sex, and race of arrestees and for victims and offenders for homicides; on fatal and nonfatal assaults against law enforcement officers; and on hate crimes reported. Type of Data Collection Operation: Crime statistics are based on reports of crime data submitted either directly to the FBI by contributing law enforcement agencies or through cooperating state UCR programs. Data Collection and Imputation Procedures: States with UCR programs collect data directly from individual law enforcement agencies and forward reports, prepared in accordance with UCR standards, to the FBI. Accuracy and consistency edits are performed by the FBI. Estimates of Sampling Error: Not applicable. Other (nonsampling) Errors: Coverage of 93 percent of the population (95 percent in MSAs, 85 percent in cities outside of metropolitan areas, and 83 percent in nonmetropolitan counties) by UCR Program, through varying number of agencies reporting. Sources of Additional Material: U.S. Federal Bureau of Investigation, Crime in the United States, annual. For additional information, see Web site at . State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



U.S. INTERNAL REVENUE SERVICE Individual Income Tax Returns Universe, Frequency, and Types of Data: Annual study of unaudited individual income tax returns, forms 1040, 1040A, and 1040EZ, filed by U.S. citizens and residents. Data provided on various financial characteristics by size of adjusted gross income, marital status, and by taxable and nontaxable returns. Data by state, based on 100 percent file, also include returns from 1040NR, filed by nonresident aliens, plus certain self-employment tax returns. Type of Data Collection Operation: Annual 2002 stratified probability sample of approximately 176,000 returns broken into sample strata based on the larger of total income or total loss amounts as well as the size of business plus farm receipts. Sampling rates for sample strata varied from 0.05 percent to 100 percent. Data Collection and Imputation Procedures: Computer selection of sample of tax return records. Data adjusted during editing for incorrect, missing, or inconsistent entries to ensure consistency with other entries on return. Estimates of Sampling Error: Estimated CVs for tax year 2002: Adjusted gross income less deficit 0.12 percent; salaries and wages 0.21 percent; and tax-exempt interest received 1.78 percent. (State data not subject to sampling error.) Other (nonsampling) Errors: Processing errors and errors arising from the use of tolerance checks for the data. Sources of Additional Material: U.S. Internal Revenue Service, Statistics of Income, Individual Income Tax Returns, annual. NATIONAL CENTER FOR HEALTH STATISTICS National Vital Statistics System Universe, Frequency, and Types of Data: Annual data on births and deaths in the United States. Type of Data Collection Operation: Mortality data based on complete file of death records, except 1972, based on 50 percent sample. Natality statistics 1951–1971, based on 50 percent sample of birth certificates, except a 20 percent to 50 percent sample in 1967, received by NCHS. Beginning 1972, data from some states received through Vital Statistics Cooperative Program (VSCP) and complete file used; data from other states based on 50 percent sample. Beginning 1986, all reporting areas participated in the VSCP.



Data Collection and Imputation Procedures: Reports based on records from registration offices of all states, District of Columbia, New York City, Puerto Rico, Virgin Islands, Guam, American Samoa, and Northern Mariana Islands. Estimates of Sampling Error: For recent years, there is no sampling for these files; the files are based on 100 percent of events registered. Other (nonsampling) Errors: Data on births and deaths believed to be at least 99 percent complete. Sources of Additional Material: U.S. National Center for Health Statistics, Vital Statistics of the United States, Vol. I and Vol. II, annual, and National Vital Statistics Reports. NCHS Web site at . National Highway Traffic Safety Administration (NHTSA) Fatality Analysis Reporting System (FARS) Universe, Frequency, and Types of Data: FARS is a census of all fatal motor vehicle traffic crashes that occur throughout the United States, including the District of Columbia and Puerto Rico, on roadways customarily open to the public. The crash must be reported to the state/jurisdiction, and at least one directly related fatality must occur within 30 days of the crash. Type of Data Collection Operation: One or more analysts in each state extract data from the official documents and enter the data into a standardized electronic database. Data Collection and Imputation Procedures: Detailed data describing the characteristics of the fatal crash and the vehicles and persons involved are obtained from police crash reports, driver and vehicle registration records, autopsy reports, highway department, etc. Computerized edit checks monitor the accuracy and completeness of the data. The FARS incorporates a sophisticated mathematical multiple imputation procedure to develop a probability distribution of missing blood alcohol concentration (BAC) levels in the database for drivers, pedestrians, and cyclists. Estimates of Sampling Error: Since this is census data, there are no sampling errors. Other (nonsampling) Errors: Fatal motor vehicle traffic crash data are more than 97 percent complete. However, these data are highly dependent on the accuracy of the police accident reports. Errors or omissions within police accident reports may not be detected. Sources of Additional Material: The FARS Coding and Validation Manual, ANSI D16.1 Manual on Classification of Motor Vehicle Traffic Accidents (sixth edition).



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



B–9



Appendix C. Geographic Concepts and Codes

Geographic Concepts STATES States are the major political units of the United States. The District of Columbia is treated as a state equivalent in this publication. Tables A-1 through A-87 present data for the United States, the 50 states, and the District of Columbia. For census purposes, states are often grouped into geographic regions and divisions. For reference, these areas are delineated on the state map on the inside of the front cover. However, Table A only uses an alphabetical state presentation. METROPOLITAN AND MICROPOLITAN STATISTICAL AREAS The U.S. Office of Management and Budget (OMB) defines metropolitan and micropolitan statistical areas according to published standards that are applied to Census Bureau data. The general concept of a metropolitan or micropolitan statistical area is that of a core area containing a substantial population nucleus, together with adjacent communities having a high degree of economic and social integration with that core. The term ‘‘core based statistical area’’ (CBSA) refers collectively to metropolitan and micropolitan statistical areas. The major purpose of CBSAs is to enable all federal agencies to use the same geographic definitions in tabulating and publishing data for metropolitan and micropolitan areas. The definitions are designed to serve a wide variety of statistical and analytical purposes; adoption of the area for any specific purpose should be judged in terms of appropriateness for that purpose. While the definitions have been developed for statistical use by federal agencies, state and local governments as well as private business firms have often found the definitions helpful in presenting data for metropolitan and micropolitan areas. The official 2000 Standards for Defining Metropolitan and Micropolitan Statistical Areas may be found on the OMB Web site at . OMB Bulletin 05-02, which was issued on February 22, 2005, provides the listing of metropolitan and micropolitan statistical areas found in this publication; this document and related documents may be found at . OMB recently issued Bulletin 06-01, which contains some minor changes and updates; it may be found at . Metropolitan areas presented in tables B-1 through B-11 and C-1 through C-4 and micropolitan areas presented in table D-1 of this publication are those county-based areas defined originally as of June 6, 2003, and subsequently updated in December 2003 and November 2004. A series of maps showing these areas appears on pages C–4 to C–15. Users who want to become more familiar with the metropolitan and micropolitan statistical area standards and how they are applied may contact the Population Division, U.S. Census Bureau, by e-mail at or by telephone at 301-763-2422. Current metropolitan and micropolitan statistical area definitions and related updates are available through the Subjects A to Z area of the Census Bureau’s Internet site . Copies of metropolitan and micropolitan statistical areas wall maps may be ordered through the Products and Services Staff, Geography Division, U.S. Census Bureau, at 301-763-1128. Historical development. In 1910, the Bureau of the Census introduced ‘‘metropolitan districts’’ as an area classification. This marked the first use by the Bureau of the Census of a unit for reporting population data for large cities, together with their suburbs. Originally, only cities of at least 200,000 population were designated as the core of a metropolitan district. By 1940, the concept had been expanded to apply to a city of 50,000 or more inhabitants. The metropolitan district was generally defined to include contiguous minor civil divisions (MCDs) and incorporated places having a population density of at least 150 persons per square mile; therefore, the boundaries did not necessarily follow county lines. A major limitation of the metropolitan district concept, from the standpoint of statistical presentation, was that not many data items beyond those available from the census of population and housing were available for MCDs and smaller places. The applicability of the metropolitan district concept also was limited because other generally similar area classifications were in use (e.g., the industrial areas of the census of manufactures and the labor market areas of the Labor Department’s Employment and Training Administration), which were defined in different ways. C–1



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



The standard metropolitan area (SMA) concept was developed in 1949 by the Bureau of the Budget (now OMB), with the advice of the newly established Federal Committee on Standard Metropolitan Areas, to overcome the above difficulties. It was designed so that a wide variety of statistical data on metropolitan areas might be presented for a uniform set of geographic areas. The SMAs consisted of one or more contiguous counties containing at least one city of 50,000 or more inhabitants. Additional counties had to meet certain criteria of metropolitan character and of social and economic integration with the central county in order to be included in an SMA. Changes in the official criteria have been made at the time of each census since 1950. None of these changes have involved significant deviations from the basic metropolitan concept. Several modifications have been made in the rules for determining how large a city must be to have a metropolitan division defined. Criteria changes also have been made to reflect changing national conditions. For example, the 1949 rule specified that a county must have less than 25 percent of its workers engaged in agriculture. However, with a rapidly decreasing proportion of the population engaged in farming, this requirement has been eliminated because practically no counties are still affected by it. In 1959, the designation ‘‘standard metropolitan area’’ was changed to ‘‘standard metropolitan statistical area’’ (SMSA) to emphasize the nature and purpose of the areas. The SMSA designation was changed to the MSA/CMSA/PMSA designations in June 1983. The term ‘‘core based statistical area’’ (CBSA) was adopted in 2000 and refers collectively to metropolitan and micropolitan statistical areas. Currently defined metropolitan and micropolitan statistical areas are based on application of 2000 standards that appeared in the Federal Register on December 27, 2000, to 2000 decennial census data. Current metropolitan and micropolitan statistical area definitions were announced by OMB effective June 6, 2003, and subsequently updated in December 2003 and November 2004. Defining metropolitan and micropolitan statistical areas. The 2000 standards provide that each CBSA must contain at least one urban area of 10,000 or more population. Each metropolitan statistical area must have at least one urbanized area of 50,000 or more inhabitants. Each micropolitan statistical area must have at least one urban cluster of at least 10,000 but less than 50,000 population. Under the standards, the county (or counties) in which at least 50 percent of the population resides within urban areas of 10,000 or more population, or that contain at least 5,000 people residing within a single urban area of 10,000 or more population, is identified as a ‘‘central county’’ (counties). Additional ‘‘outlying counties’’ are included in the CBSA if they meet specified requirements of commuting to or from the central counties. Counties or C–2



equivalent entities form the geographic ‘‘building blocks’’ for metropolitan and micropolitan statistical areas throughout the United States and Puerto Rico. If specified criteria are met, a metropolitan statistical area containing a single core with a population of 2.5 million or more may be subdivided to form smaller groupings of counties referred to as ‘‘metropolitan divisions.’’ Principal cities and metropolitan and micropolitan statistical area titles. The largest city in each metropolitan or micropolitan statistical area is designated a ‘‘principal city.’’ Additional cities qualify if specified requirements are met concerning population size and employment. The title of each metropolitan or micropolitan statistical area consists of the names of up to three of its principal cities and the name of each state into which the metropolitan or micropolitan statistical area extends. Titles of metropolitan divisions also typically are based on principal city names but in certain cases consist of county names. Defining New England city and town areas. In view of the importance of cities and towns in New England, the 2000 standards also provide for a set of geographic areas that are defined using cities and towns in the six New England states. The New England city and town areas (NECTAs) are defined using the same criteria as metropolitan and micropolitan statistical areas and are identified as either metropolitan or micropolitan, based, respectively, on the presence of either an urbanized area of 50,000 or more population or an urban cluster of at least 10,000 but less than 50,000 population. If the specified criteria are met, a NECTA containing a single core with a population of at least 2.5 million may be subdivided to form smaller groupings of cities and towns referred to as New England city and town area divisions. Changes in definitions over time. Changes in the definitions of these statistical areas since the 1950 census have consisted chiefly of— • The recognition of new areas as they reached the minimum required city or urbanized area population. • The addition of counties (or cities and towns in New England) to existing areas as new decennial census data showed them to qualify. In some instances, formerly separate areas have been merged, components of an area have been transferred from one area to another, or components have been dropped from an area. The large majority of changes have taken place on the basis of decennial census data. However, Census Bureau data serve as the basis for intercensal updates in specified circumstances. Because of these historical changes in geographic definitions, users must be cautious in comparing data for these statistical areas from different dates. For some purposes, comparisons of data for areas as defined at given dates State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



may be appropriate; for other purposes, it may be preferable to maintain consistent area definitions. Historical metropolitan area definitions are available for 1999, 1993, 1990, 1983, 1981, 1973, 1970, 1963, 1960, and 1950. Special metropolitan area notes found in this publication. This report includes metropolitan statistical areas and consolidated metropolitan statistical areas defined by the Office of Management and Budget as of June 6, 2003, and subsequently updated in December 2003 and November 2004. There are 361 metropolitan statistical areas and 575 micropolitan statistical areas in the United States. In addition, there are 8 metropolitan statistical areas and 5 micropolitan statistical areas in Puerto Rico not covered in this publication. Every state now has at least one metropolitan area; New Jersey and the District of Columbia are wholly included in metropolitan areas. There are two metropolitan areas that we want to specially note for users. First, the Denver, CO, metropolitan had the special case involving the newly created county of Broomfield. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld Counties, CO, on November 15, 2001, and is coextensive with Broomfield city. For purposes of defining and presenting data for metropolitan statistical areas, Broomfield city is treated as if it were a county at the time of the 1990 and 2000 censuses. The other area is the St. Louis, MO-IL area. A portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. Census 2000 tabulations and intercensal estimates for the St. Louis, MO-IL metropolitan statistical area do not include this small area. COUNTIES The primary political divisions of most states are termed ‘‘counties,’’ which are the basic building blocks for metropolitan areas. In Louisiana, these divisions are known as ‘‘parishes.’’ In Alaska, which has no counties, the county equivalents are the organized ‘‘boroughs’’ and the ‘‘census areas’’ that are delineated for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more cities that are independent of any county organization and thus constitute primary divisions of their states. These cities are known as ‘‘independent cities’’ and are treated as equivalent to counties for statistical purposes. The District of Columbia has no primary divisions, and the entire area is considered equivalent to a county for statistical purposes. Tables C-1 through C-4 present data for the 361 metropolitan statistical areas and their 1,090 component counties defined as of November 2004. Table D-1 presents data for the 575 micropolitan statistical areas and their 692 counties likewise as defined as of November 2004.



Geographic Codes STATES Each state and equivalent is assigned a two-digit Federal Information Processing Standards (FIPS) code in alphabetic order by state name; codes range from 01 for Alabama to 56 for Wyoming. These codes are published by the National Institute of Standards and Technology (NIST), U.S. Department of Commerce, in FIPS Publication 5-2 (issued May 28, 1987) and related updates, which can be viewed at Internet site . Each state and equivalent area is also assigned a two-letter FIPS/United States Postal Service (USPS) code. These two codes are included in the Excel spreadsheet version of tables A-1 through A-87 of this publication. METROPOLITAN AND MICROPOLITAN STATISTICAL AREAS Each metropolitan and micropolitan statistical area is assigned a five-digit CBSA code, in alphabetical order nationwide. This five-digit code applies to the CBSA and its component counties and metropolitan divisions where appropriate. These codes and updates can be viewed at Internet site . These codes are included in the CD-ROM version of tables B-1 through B-11, C-1 through C-4, and D-1 of this publication. COUNTIES Each county and county equivalent is assigned a threedigit FIPS code that is unique within a state. These codes are designed in alphabetic order of county or county equivalent within a state, except for independent cities, which follow the listing of counties. In most states, the codes begin with 001 and generally continue in increments of two; the county codes for independent cities are assigned in alphabetic sequence beginning with 510 and generally continuing in increments of 10. These codes are published by NIST in FIPS Publication 6-4 (issued August 31, 1990) and related updates, which can be viewed at Internet site . For a county code to be unique for the nation, it is combined with its two-digit FIPS state code. These five-digit codes appear next to the county name on the CD-ROM version of tables C-1 through C-4 and D-1 of this publication. METROPOLITAN DIVISIONS Each metropolitan division is assigned a five-digit CBSA division code that it shares with only those counties within the metropolitan division. These codes and updates can be viewed at Internet site . These codes appear in the Excel spreadsheet versions of all Tables B and C of this publication.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



C–3



n



so



Olean

ELMIRA



Corning BINGHAMTON



POUGHKEEPSIE− NEWBURGH− MIDDLETOWN



Hu d



n



N



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TOW



ONA



JOH NS



ALTO



Hu n t



PITTSBURGH



in gd



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Indiana



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C-4



Metropolitan and Micropolitan Statistical Areas: November 2004



NE

State Boundary Micropolitan Statistical Area METROPOLITAN STATISTICAL AREA BURLINGTON− SOUTH BURLINGTON Platts− burgh Malone Ogdensburg− Massena

Barre

Watertown− Fort Drum



Alexander City



PITTSBURGH



ME



BANGOR



Berlin



Augusta− Waterville

LEWISTON− AUBURN



VT



Rockland Lebanon



NY

GLENS FALLS UTICA− ROME

Bennington

Glovers− ville

Amsterdam



NH

Rutland

Laconia



PORTLAND− SOUTH PORTLAND− BIDDEFORD Concord



Clare− mont



BUFFALO− NIAGARA FALLS Batavia



SYRACUSE ROCHESTER

Auburn



Keene



MANCHESTER− NASHUA



SP



Cort− land



Oneonta



ALBANY− SCHENECTADY− TROY



RC WO RIN GF IEL T ES



LD PITTSFIE



Jamestown− Dunkirk− Fredonia

Seneca ITHACA Falls



MA

ER D

Willi− mantic



BOSTON− CAMBRIDGE− QUINCY BARNSTABLE TOWN



KINGSTON



ERIE Warren Meadville Oil City Lock WILLIAMS− Haven PORT STATE COLLEGE

urg Berwick isb Lew Sun− insgrove bury Sel



Torring− ton



Bradford



PA



Sayre

SCRANTON−− WILKES− BARRE East Strouds− Blooms− burg burg−

ALLENTOWN− BETHLEHEM− EASTON Pottsville



CT



YOUNGSTOWN− WARREN− BOARDMAN

New Castle



St. Marys DuBois



PROVIDENCE−NEW BEDFORD−FALL RIVER NORWICH−NEW LONDON HARTFORD−WEST HARTFORD−EAST HARTFORD NEW HAVEN−MILFORD



NJ



BRIDGEPORT−STAMFORD−NORWALK NEW YORK−NORTHERN NEW JERSEY−LONG ISLAND TRENTON−EWING



Shaded Area Enlarged Above



G− LEBAN READING UR ON ISB E RR RLISL HA CA LANCASTER PHILADELPHIA− CAMDEN−WILMINGTON

Gettys− YORK− burg HANOVER



Somerset



Chambersburg ATLANTIC CITY VINELAND− MILLVILLE−BRIDGETON OCEAN CITY



All boundaries and names are as of November 2004.



State and Metropolitan Area Data Book: 2006



U.S. Census Bureau



U.S. DEPARTMENT OF COMMERCE Economics and Statistics Administration Bureau of the Census



MADISON 4 10 Allegan

ANN KALAMAZOO− BATTLE JACK− ARBOR PORTAGE CREEK SON

RACINE



1 BLOOMINGTON−NORMAL 2 KANKAKEE−BRADLEY 3 DECATUR 4 Charleston−Mattoon 5 Marion−Herrin 6 Harrisburg Bara− boo

Beaver Dam 8

GRAND RAPIDS− WYOMING

Owos− so



Platte− ville

Mon− roe



9

ROCK− FORD



5



FL



IN



T



DA NVILL E



Jackson− ville Taylor− ville



SPRING− FIELD



3 4

Effing− ham



C HAM URB PAIGN ANA −



All boundaries and names are as of November 2004.



Union City



U.S. DEPARTMENT OF COMMERCE Economics and Statistics Administration Bureau of the Census



Mayfie ld



State and Metropolitan Area Data Book: 2006



U.S. Census Bureau



Metropolitan and Micropolitan Statistical Areas: November 2004



NE

State Boundary Micropolitan Statistical Area METROPOLITAN STATISTICAL AREA DULUTH

u Ho gh to n



Alexander City PITTSBURGH Marquette

Sault Ste. Marie

ana ba



WISCONSIN (WI)



WI

ri Ma

Merrill



2



Esc



net

Alpena

Traverse City



MICHIGAN (MI)



te



MINNEAPOLIS− ST. PAUL− BLOOMINGTON



1 Menomonie 2 Iron Mountain 3 Wisconsin Rapids−Marshfield 4 OSHKOSH−NEENAH 5 Manitowoc 6 SHEBOYGAN 7 MILWAUKEE−WAUKESHA−WEST ALLIS 8 Watertown−Fort Atkinson 9 JANESVILLE 10 Whitewater EAU 1 CLAIRE WAUSAU 3

Cadillac

Stevens Point

APPLE− TON GREEN BAY



MI

BAY CITY



4 5 6

1

DETROIT− WARREN− LIVONIA MON−

RaBig pids



ILLINOIS (IL)

LA CROSSE

Alma



FOND DU LAC



2 Mid− land



1 MUSKEGON−NORTON SHORES 2 Mount Pleasant 3 SAGINAW−SAGINAW TOWNSHIP NORTH 4 HOLLAND−GRAND HAVEN 5 LANSING−EAST LANSING 6 NILES−BENTON HARBOR 7 SOUTH BEND−MISHAWAKA 8 Coldwater



3



7



Free− port



OHIO (OH)

Ashtabula



Rochelle



6 1

Ply− War− mouth saw



7 2 3 4



DAVENPORT−MOLINE− ROCK ISLAND

r Ste ling



Stur− gis



8



Adrian ROE



Dixon Ottawa− Streator 2

Pontiac

Peru

FORT WAYNE



INDIANA (IN)

Burlington

G

Ma− comb

Qu in c y



CHICAGO− NAPERVILLE− JOLIET



TOLEDO

Find−

Fremont 1 Nor− Tiffin walk



Au− burn Defiance



2 AKRON

lay Van Wert LIMA

Bucy− rus



YOUNGSTOWN− WARREN− BOARDMAN

3 4 Woos− ter



ale



rg sbu



IN

5



5 6 7 8

Mar− MUNCIE

a Celin



East Liverpool−Salem 8

Sid− ney



PEORIA 1 Lin− coln



Mar− ion



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7

n− Greele vil

Ur− bana Crawfordsville



Mount Vernon Cosh− octon



6

Cam−



WEIRTON− STEUBENVILLE COLUMBUS

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Zanes− bridge ville



KOKO− ion LAFAY− ETTE Frank− MO fort 9



WHEELING 10 INDIANAPOLIS

COLUMBUS



1 SANDUSKY 2 CLEVELAND−ELYRIA−MENTOR 3 Ashland 4 MANSFIELD 5 CANTON−MASSILLON 6 New Philadelphia−Dover 7 Bellefontaine 8 Wapakoneta 9 SPRINGFIELD 10 Wilmington 11 Washington 9

11



OH

DAYTON 10

11 Chilli− cothe

Portsmouth

Athens



PARKERSBURG− MARIETTA-VIENNA CINCINNATI− TERRE 12 MIDDLETOWN HAUTE BLOOM− INGTON Sey− 15 Bed− mour 17 ford 16 14 Point Pleasant



KENTUCKY (KY)



1 MICHIGAN CITY−LA PORTE 2 ELKHART−GOSHEN 3 Kendallville 4 Angola 5 Logansport 6 Wabash 7 Huntington 8 Decatur 9 ANDERSON 10 Richmond 11 Connersville 12 Greensburg 13 Vincennes 14 Washington 15 North Vernon 16 Scottsburg 17 Madison ST. LOUIS

Cen− tralia Mount Vernon

Carbon− dale



IL



13



Maysville



Shaded Area Enlarged Above



Jasper EVANS− VILLE 5 6

OWENSBORO



LOUIS− VILLE

Frankfort



Mount Sterling



HUNTINGTON− ASHLAND

LEXINGTON− FAYETTE



1 Madisonville 2 Central City 3 ELIZABETHTOWN 4 Campbellsville 5 Richmond−Berea 6 Middlesborough 3 1

Paducah



Cape Girardeau− Jackson



4 2

Mur− ray CLARKS− BOWLING GREEN VILLE



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5 Glas− gow

Somer− Lon− set don

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KY



6



C-5



ES



NE

Norfolk

Columbus Fre− mont



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AM



C-6

Williston Minot Bemidji



Metropolitan and Micropolitan Statistical Areas: November 2004



ND

DULUTH James− town FARGO Brainerd Fergus Falls

Alex− andria ST. CLOUD



GRAND FORKS



Dickinson BISMARCK Wahpeton



MN

MINNEAPOLIS− ST. PAUL− BLOOMINGTON



Aberdeen



SD

Pierre 1 3

Albert Austin Lea Mason City

Spen− cer



Water− town Hutchinson Mar− shall New Ulm Fair− mont WATERLOO− CEDAR FALLS



llm Wi ar



Spearfish RAPID CITY Mitch− ell SIOUX FALLS

Yank− ton



Huron

Worth− ington Spirit Lake

Storm Lake



Brook− ings



2

TER ES CH Winona RO



Red Wing



LA CROSSE



MINNESOTA (MN)

1 Mankato−North Mankato 2 Faribault−Northfield 3 Owatonna



IA Marshalltown

rt Fo dge Do



DUBUQUE CEDAR RAPIDS



Vermillion



SIOUX CITY

Scotts− bluff



Clinton

New− Oskaloosa IOWA CITY ton



North Platte

Grand Island Lexing− Kearney ton



OMAHA−COUNCIL BLUFFS LINCOLN



DES MOINES Pella



DAVENPORT− MOLINE− ROCK ISLAND

Musca− tine



Burlington Ottumwa

Mary− ville



NE

Beatrice



State Boundary



Hastings



Keokuk−Fort Madison

Kirks− ville

Quincy



Alexander City



Micropolitan Statistical Area



Atchison



ST. JOSEPH



Hanni− bal



PITTSBURGH



METROPOLITAN STATISTICAL AREA



Hays



nh Ma TOPEKA

in Sal a

Ph Mc ers on



a att



n



Mob− erly



KANSAS CITY



Mar− shall Se− Warrens− dalia burg



COLUM− BIA



Mexico



Garden City Dodge City

Liberal



KS



Great Bend



JEFFERSON CITY



ST. LOUIS



MO

Hutchin− son



Emporia LAWRENCE WICHITA Win− field

SP R

Coffeyville Par− sons Pitts− burg



Rolla

IN GF

IN PL JO

Leba− non



Cape Girardeau− Jackson



Shaded Area Enlarged Above



IEL



Farmington Fort Leonard Wood



D

West Plains Poplar Bluff

Sikeston



Branson



Kennett FAYETTEVILLE− SPRINGDALE− ROGERS



All boundaries and names are as of November 2004.



State and Metropolitan Area Data Book: 2006



U.S. Census Bureau



U.S. DEPARTMENT OF COMMERCE Economics and Statistics Administration Bureau of the Census



1 COLUMBIA

SUMTER



AUGUSTA− RICHMOND COUNTY



SC

Orangeburg

Walterboro CHARLESTON

George− town



MYRTLE BEACH−CONWAY−NORTH MYRTLE BEACH



Shaded Area Enlarged Above



CHARLESTON−NORTH



Hilton Head Island−Beaufort



All boundaries and names are as of November 2004.



U.S. DEPARTMENT OF COMMERCE Economics and Statistics Administration Bureau of the Census



W



Newberry



FLORENCE



ILM IN



ANDER− SON



Dillon



GT



ON



State and Metropolitan Area Data Book: 2006

WEIRTON−STEUBENVILLE WHEELING CUMBERLAND

MORGAN− TOWN



U.S. Census Bureau



Metropolitan and Micropolitan Statistical Areas: November 2004



PHILADELPHIA− CAMDEN−WILMINGTON HAGERSTOWN− MARTINSBURG BALTIMORE− TOWSON



Fairmont



MD

WINCHESTER

DOVER

Eas ton



PARKERSBURG−MARIETTA-VIENNA

Clarksburg



DE

Seaford Alexander City PITTSBURGH



Point Pleasant

Culpeper



WASHINGTON− ARLINGTON− ALEXANDRIA DC



NE



State Boundary Micropolitan Statistical Area METROPOLITAN STATISTICAL AREA Joins parts of the same entity



WV

HARRISON− BURG



Cam− bridge SALISBURY



Ocean Pines Lexington Park



HUNTINGTON−ASHLAND CHARLESTON

Oak Hill

Beckley



Staunton− Waynesboro CHARLOTTES− VILLE



RICHMOND

ROANOKE



LYNCHBURG



Bluefield



VA

DANVILLE

Martins− ville



VIRGINIA BEACH−NORFOLK−NEWPORT NEWS



Henderson Roanoke Rapids

Elizabeth City



BRISTOL Mount Airy

North Boone Wilkesboro



BLACKSBURG− CHRISTIANSBURG− RADFORD



KINGSPORT−BRISTOL WINSTON− SALEM 3 DURHAM

Southern 5 Pines− Pinehurst



4



ROCKY MOUNT



NC

Kill Devil Hills ton



NORTH CAROLINA (NC)



RALEIGH− Wilson CARY GREENVILLE Washing−

Kinston



ASHEVILLE

Dunn



HICKORY− 1 2 LENOIR− MORGANTON Salisbury Lincolnton Forest CHARLOTTE− Albe− City marle

GASTONIA− CONCORD



New Bern

GOLDSBORO



Brevard 6 7 2

Lumberton FAYETTEVILLE GREENVILLE SPARTAN−

BURG



Shelby Gaff− ney



1 Statesville−Mooresville 2 Thomasville−Lexington 3 GREENSBORO−HIGH POINT 4 BURLINGTON 5 Sanford 6 Rockingham 7 Laurinburg

JACKSON− VILLE



Morehead City



Seneca



Lan− Union Chester caster



SOUTH CAROLINA (SC)

1 Greenwood 2 Bennettsville



C-7



C-8

Union City

Martin Paris



Metropolitan and Micropolitan Statistical Areas: November 2004

MORRIS− TOWN



CLARKS− VILLE



La Follette



KINGSPORT− BRISTOL



Dyersburg JACKSON



Hum− boldt



NASHVILLE− DAVIDSON−− MURFREESBORO

Cooke− ville Cross− ville 6



KNOX− VILLE



2 3 4 7 CLEVELAND

DALTON

Tulla− homa



5



TN

CHATTA− NOOGA



JOHNSON CITY Greeneville Newport Sevierville



MEMPHIS Brownsville 1 1 1

M RO E



Corinth



Cornelia Toccoa 4 ATHENS−CLARKE COUNTY



2 3



Clarksdale

Oxford



HUNTS− Scotts− boro VILLE DECATUR 3 2

Cull− man



TENNESSSEE (TN)



Tupelo 4 5 6 7

Statesboro



Indianola



Cleveland

Grenada



MISSISSIPPI (MS)

Greenville

Yazoo City



Gre enw oo d



1 2 3

SC TU AL O A OS



BIRMINGHAM− HOOVER AUGUSTA− RICHMOND COUNTY



ATLANTA− SANDY SPRINGS− MARIETTA



1 Lawrenceburg 2 Columbia 3 Lewisburg 4 Shelbyville 5 McMinnville 6 Harriman 7 Athens



1 West Point 2 Starkville 3 Columbus



MS

ia n Mer id



Vicksburg JACKSON

Lau r

Jesup



GEORGIA (GA)

SAVANNAH HINESVILLE−FORT STEWART BRUNSWICK

St. Marys



ALABAMA (AL)

el

Brookhaven



Natchez

Ozark



Alexander Valle 5 6 MACON y City Dublin 8 7 9 MONT− Vid 8 COLUMBUS ali GA Selma GOMERY a 10 Cordele Eufaula Fitz− Troy ALBANY gerald Doug− Tif− Daphne− AL ton las Way− Fairhope Enterprise−

DOTHAN

Bain− bridge



McComb 11 VALDOSTA

Lake City



HATTIES− BURG

E MOBIL



Moul− trie



cross



Picayune 1

TALLAHASSEE



1 Summerville 2 Calhoun 3 Cedartown 4 GAINESVILLE 5 LaGrange 6 Thomaston 7 Milledgeville 8 Fort Valley 9 WARNER ROBINS 10 Americus 11 Thomasville

JACKSONVILLE



1 FLORENCE−MUSCLE SHOALS 2 Albertville 3 Fort Payne 4 GADSDEN 5 ANNISTON−OXFORD 6 Talladega−Sylacauga 7 AUBURN−OPELIKA 8 Tuskegee GULFPORT− BILOXI

PASCAGOULA



FL

GAINESVILLE



FLORIDA (FL)

Palatka



PENSACOLA− FERRY PASS− BRENT PANAMA CITY− LYNN HAVEN



Palm Coast OCALA DELTONA−DAYTONA BEACH− ORMOND BEACH



Homosassa Springs



2 ORLANDOKISSIMMEE



1 FORT WALTON BEACH− CRESTVIEW−DESTIN 2 The Villages 3 Wauchula 4 Arcadia 5 Okeechobee PALM BAY−MELBOURNE−TITUSVILLE



TAMPA−ST. PETERSBURG−CLEARWATER VERO BEACH

LAKELAND S 3 ebrin



5

g



PORT ST. LUCIE−FORT PIERCE SARASOTA−BRADENTON−VENICE PUNTA GORDA 4

Clewiston



NE

State Boundary Alexander City PITTSBURGH



CAPE CORAL−FORT MYERS Micropolitan Statistical Area METROPOLITAN STATISTICAL AREA Key West−Marathon NAPLES−MARCO ISLAND



MIAMI−FORT LAUDERDALE−MIAMI BEACH



Shaded Area Enlarged Above



All boundaries and names are as of November 2004.



State and Metropolitan Area Data Book: 2006



U.S. Census Bureau



U.S. DEPARTMENT OF COMMERCE Economics and Statistics Administration Bureau of the Census



Metropolitan and Micropolitan Statistical Areas: November 2004

Bartlesville



on



OK AR

lle

Muskogee



Stillwater

Tahle− quah



FAYETTEVILLE− SPRINGDALE− ROGERS



Ha rr is



NE

Hereford Altus

Duncan SHERMAN− Ard− DENISON



State Boundary LAWTON

Arkadel− phia



Mc Alester



Ru ss



AMARILLO

Elk City

Shawnee

HOT SPRINGS



ell vi



State and Metropolitan Area Data Book: 2006

Guymon



U.S. Census Bureau



Ponca City Wood− ward Enid TULSA

Bates− ville



mi Mia



Mountain Home

Para− gould



r s ma Borge Du



JONES− BORO



Blytheville



Pampa



FORT SMITH Searcy

Forrest City



OKLAHOMA CITY LITTLE ROCK− NORTH LITTLE ROCK



MEMPHIS



Ada PINE BLUFF



Alexander City Plain− view

Vernon



Micropolitan Statistical Area more

Durant



West Helena



PITTSBURGH Hope

Gaines− ville



METROPOLITAN STATISTICAL AREA Level− land LUBBOCK

TEXARKANA− TEXARKANA Mount Pleasant

Sulphur Springs



Joins parts of the same entity



WICHITA FALLS Bon− Paris ham



Camden



Mag− nolia El Dorado MONROE Bas− top



Min den



esa

Snyder

Marshall



Lam



Mineral Wells



DALLAS−FORT WORTH−ARLINGTON

LONGV



s Ru



1



Tallulah



to n



IEW



Andrews Athens

Corsicana

k Jac

Pa le



Big Spring

Sweet− water



ABILENE

v son

sti ne



TYLER



EL PASO

SA ES MID− OD LAND

Brown− wood



Gran− bury Stephen− ville



LA

Nacog− doches



2

ille



Natchez

Lufkin

Fort Polk



WACO

KILLEEN− TEMPLE− FORT HOOD

COLLEGE STATION− BRYAN Hunts− ville



Pecos



SAN ANGELO



ALEX− ANDRIA

o Ha mm



South De Ridder

Jenn− ings



Boga− lusa



TX

AUSTIN− ROUND ROCK Brenham Uvalde Eagle Pass SAN ANTONIO



3

Crow− LAFAY− ETTE ley



BATON ROUGE



nd



6 HOUSTON−SUGAR LAND− BAYTOWN El Campo Bay City

BEAUMONT− PORT ARTHUR



Del Rio Kerrville



LAKE CHARLES



Abbe− ville



4



5

HOUMA− BAYOU CANE− THIBODAUX



Morgan City



VICTORIA



LOUISIANA (LA)

Be ev ille

Alice



LAREDO



CORPUS CHRISTI



1 SHREVEPORT−BOSSIER CITY 2 Natchitoches 3 Opelousas−Eunice 4 New Iberia 5 Pierre Part 6 NEW ORLEANS−METAIRIE−KENNER

Kingsville



Shaded Area Enlarged Above

Rio Grande City-Roma

Raymond− ville



McALLEN− EDINBURGMISSION



BROWNSVILLE− HARLINGEN



All boundaries and names are as of November 2004.



U.S. DEPARTMENT OF COMMERCE Economics and Statistics Administration Bureau of the Census



C-9



C-10

FAIRBANKS



Metropolitan and Micropolitan Statistical Areas: November 2004



AK NE

State Boundary Micropolitan Statistical Area METROPOLITAN STATISTICAL AREA Alexander City

Juneau



ANCHORAGE



PITTSBURGH

Kodiak Ketchikan



BELLINGHAM

MOUNT VERNON− ANACORTES



Oak Harbor Port Angeles



WA

Kalispell

SP OK A

COEUR NE D'ALENE



Havre



BREMERTON− SILVERDALE SEATTLE− TACOMA− BELLEVUE WENATCHEE

OLYMPIA



Abe

Ellensburg GREAT FALLS

ow M Pullman osc



Shelton



rde

Moses Lake



en

Centralia LONG− VIEW Hood River Pendleton− Hermiston City of The Dalles La Grande Butte− Silver Bow KENNEWICK− RICHLAND− PASCO Walla Walla LEWISTON Boze− man YAKIMA MISSOULA

Helena



MT



Astoria



PORTLAND− VANCOUVER− BEAVERTON



SALEM Albany− Lebanon



CORVALLIS



ID

BEND Prineville Rexburg



BILLINGS Sheridan Gillette



EUGENE− SPRINGFIELD



Coos Bay



Roseburg Ontario Klamath Falls



OR

Mountain Home



IDAHO FALLS



Jackson



WY

Blackfoot



Shaded Area Enlarged Above

LOGAN



State and Metropolitan Area Data Book: 2006

BOISE CITY−NAMPA Twin Falls



U.S. Census Bureau



U.S. DEPARTMENT OF COMMERCE Economics and Statistics Administration Bureau of the Census



Bro ok



Grants Pass MEDFORD



ing s



Riverton POCATELLO Burley



CASPER



Rock Springs CHEYENNE

Evanston



Laramie



All boundaries and names are as of November 2004.



State and Metropolitan Area Data Book: 2006

Brigham City

Susanville

LOGAN



U.S. Census Bureau



Metropolitan and Micropolitan Statistical Areas: November 2004



Crescent City



CA



Eureka− Arcata− Fortuna



REDDING



NV

SALT LAKE CITY

Heber



Elko Vernal



EN− LD OGDRFIE A CLE

FORT COLLINS− LOVELAND



GREELEY



Sterling

Fort Morgan



Red Bluff RENO− Truckee− Grass Valley SPARKS Silverthorne Edwards

GRAND JUNCTION BOUL− DER



Ukiah



CHICO Fallon PROVO−OREM

Price

CARSON CITY



a Cle



YUBA CITY



DENVER− AURORA COLORADO SPRINGS Canon City PUEBLO



rlak



e



SANTA ROSA− PETALUMA Gardnerville Ranchos

Pahrump

Montrose



NA P A



SACRAMENTO−− ARDEN−ARCADE−− ROSEVILLE



VALLEJO− FAIRFIELD

Phoenix Lake− Cedar Ridge



STOCK− TON



SAN FRANCISCO− OAKLAND−FREMONT Cedar City ST. GEORGE



UT



MODESTO



CO

Durango



SANTA CRUZ− WATSONVILLE FRESNO VISALIA− PORTERVILLE Bishop FLAGSTAFF LAS VEGAS− PARADISE



MERCED MADERA



SAN JOSE− SUNNYVALE− SANTA CLARA



SALINAS



FARMINGTON



Espanola



Taos



SAN LUIS HANFORD− OBISPO− CORCORAN PASO ROBLES



Lake Havasu City−Kingman BAKERSFIELD



Gallup



Los Alamos



AZ

Grants



SANTA FE



Las Vegas



SANTA BARBARA− SANTA MARIA LOS ANGELES− LONG BEACH− SANTA ANA



ALBUQUERQUE



Clovis Portales



RIVERSIDE− SAN BERNARDINO− ONTARIO



PRESCOTT



OXNARD− THOUSAND OAKS− VENTURA



NM

Payson



Roswell

SAN DIEGO− CARLSBAD− SAN MARCOS



EL CENTRO YUMA



PHOENIX−MESA− SCOTTSDALE



Safford



Silver City Deming TUCSON Sierra Vista−Douglas LAS CRUCES Alamogordo



Hobbs Carlsbad− Artesia



Kapaa



NE

Alexander City PITTSBURGH

Hilo



State Boundary Micropolitan Statistical Area METROPOLITAN STATISTICAL AREA Joins parts of the same entity



Nogales



Shaded Area Enlarged Above



HONOLULU



Kahului− Wailuku



HI



All boundaries and names are as of November 2004.



C-11



U.S. DEPARTMENT OF COMMERCE Economics and Statistics Administration Bureau of the Census



C-12



Combined Statistical Areas: November 2004



INSET A



Seattle− Tacoma− Olympia



Albany− Corvallis− Lebanon Fargo− Wahpeton

Minneapolis− St. Paul− St. Cloud



Bend− Prineville



Idaho Falls− Blackfoot Sioux City− Vermillion Ames− Boone



Sacramento−− Arden−Arcade−− Truckee Omaha− Council Bluffs− Fremont Denver− Aurora− Boulder

Kansas City− Ov erland Park− Kansas City



Salt Lake City− Ogden− Clearfield



San Jose− San Francisco− Oakland



Las Vegas− Paradise− Pahrump



Fresno− Madera



Santa Fe− Espanola



Los Angeles− Long Beach− Riverside Clovis− Portales Lubbock− Levelland Midland− Odessa



INSET B

All boundaries and names are as of November 2004.



State and Metropolitan Area Data Book: 2006



U.S. Census Bureau



U.S. DEPARTMENT OF COMMERCE Economics and Statistics Administration Bureau of the Census



State and Metropolitan Area Data Book: 2006

Claremont− Lebanon Portland−Lewiston− South Portland



U.S. Census Bureau



Combined Statistical Areas: November 2004 − INSET A



Eau Claire− Menomonie

Buffalo− Niagara− Cattaraugus

Fond du Lac− Beaver Dam



Wausau− Merrill Saginaw−Bay City− Saginaw Township North

Rochester− Batavia−Seneca Falls



Syracuse− Auburn Ithaca− Cortland



Albany− Schenectady− Amsterdam



Boston− Worcester− Manchester



Appleton− Oshkosh− Neenah



Minneapolis− St. Paul− St. Cloud Milwaukee− Racine− Waukesha Grand Rapids− Lansing− Muskegon− East Lansing− Holland

Owosso



New York− Newark− Bridgeport Williamsport− Lock Haven



Hartford− West Hartford− Willimantic



Madison− Baraboo



Detroit− Warren− Flint Youngstown− Warren− East Liverpool

Harrisburg− Carlisle− Lebanon



Ames− Boone Toledo− Fremont

Lima− Wapakoneta



Rockford− Freeport− Rochelle



Fort Wayne− Huntington− Auburn



Findlay− Tiffin Cleveland− Akron−Elyria



Sunbury− Lewisburg− Selinsgrove Philadelphia− Camden− Vineland



Des Moines− Newton−Pella

Columbus− Marion− Chillicothe



Chicago− Naperville− Michigan City Kokomo− Peru



Mansfield− Bucyrus



Pittsburgh− New Castle



York−Hanover− Gettysburg Washington− Baltimore− Northern Virginia Fairmont− Clarksburg



Peoria− Canton Lafayette− Frankfort

Indianapolis− Anderson− Columbus Dayton− Springfield− Greenville



Salisbury− Ocean Pines

All boundaries and names are as of November 2004.

Area in Rectangle Enlarged Above



Cincinnati− Middletown− Wilmington Beckley− Oak Hill



Kansas City− Overland Park− Kansas City



St. Louis− St. Charles− Farmington



Louisville− Elizabethtown− Scottsburg



Lexington−Fayette−− Frankfort−−Richmond

Johnson City− Kingsport− Bristol



Greensboro−− Winston−Salem−− High Point



Corbin−London



Raleigh−Durham−Cary



C-13



U.S. DEPARTMENT OF COMMERCE Economics and Statistics Administration Bureau of the Census



C-14

Kansas City− Overland Park− Kansas City Louisville− Elizabethtown− Scottsburg Cape Girardeau− Sikeston− Jackson

Knoxville− Sevierville− La Follette



Combined Statistical Areas: November 2004 - INSET B

St. Louis− St. Charles− Farmington

Lexington−Fayette−− Frankfort−−Richmond



Wichita− Winfield



Paducah− Mayfield Raleigh− Durham− Cary



Corbin− London Greensboro−− Winston−Salem−− High Point



Morristown− Newport



Johnson City− Kingsport− Bristol



Union City− Martin



Nashville− Davidson−− Murfreesboro−− Columbia Asheville− Brevard

Chattanooga− Cleveland− Athens



Charlotte− Gastonia− Salisbury



Tulsa− Bartlesville Jackson− Humboldt Columbia− Newberry Huntsville− Decatur Little Rock− North Little Rock− Pine Bluff Columbus− West Point Birmingham− Hoover− Cullman Macon− Warner Robins− Fort Valley Atlanta− Sandy Springs− Gainesville Greenville− Spartanburg− Anderson



Lumberton− Laurinburg



Oklahoma City− Shawnee



Myrtle Beach− Conway− Georgetown



Columbus− Auburn−Opelika Monroe− Bastrop Shreveport− Bossier City− Minden Dothan− Enterprise− Ozark Mobile− Daphne− Fairhope Fort Polk South− De Ridder Baton Rouge− Pierre Part Lake Charles− Jennings Lafayette− Acadiana New Orleans− Metairie−Bogalusa Gulfport− Biloxi− Pascagoula Jackson− Yazoo City Montgomery− Alexander City



Savannah− Hinesville− Fort Stewart



Dallas− Fort Worth



Longview− Marshall



Tyler− Jacksonville



Deltona− Daytona Beach− Palm Coast Orlando− The Villages



Houston− Baytown− Huntsville



Corpus Christi− Kingsville



Area in Rectangle Enlarged Above



Brownsville− Harlingen− Raymondville



All boundaries and names are as of November 2004.



State and Metropolitan Area Data Book: 2006



U.S. Census Bureau



U.S. DEPARTMENT OF COMMERCE Economics and Statistics Administration Bureau of the Census



Metropolitan and Micropolitan New England City and Town Areas (NECTAs): November 2004



ME



BANGOR



BURLINGTON− SOUTH BURLINGTON



VT

Waterville



Berlin Barre

LEWISTON− AUBURN



AugustaWaterville

Augusta

Rock− land



ClaremontLebanon

Rutland Lebanon Franklin



NH

LaconiaFranklin



Brunswick PortlandSouth PortlandSanford PORTLAND− SOU TH PORTLAND



Laconia



Claremont Concord Bennington

MANCHESTER ROCHESTER− DOVER



Sanford



NH

PORTSMOUTH



State Boundary Combined NECTA

Micropolitan NECTA



Keene North Adams

Greenfield



Laconia - Franklin

Claremont



PittsfieldNorth Adams

PITTSFIELD

Amherst Center



Athol



LEOMINSTER− FITCHBURG− GARDNER



WORCESTER



METROPOLITAN NECTA



MA

WORCESTER

Danielson



SPRINGFIELD SpringfieldAmherst CenterGreenfield Torrington WATERBURY



BostonWorcesterManchester BOSTON− CAMBRIDGE− QUINCY NEW BEDFORD BARNSTABLE TOWN



CT

HARTFORD− WEST HARTFORD− EAST HARTFORD Willimantic NEW HAVEN



PROVIDENCE− FALL RIVER− WARWICK



DANBURY



RI

Shaded Area Enlarged Above



NORWICH− NEW LONDON

HartfordWest HartfordTorrington ProvidenceNew BedfordFall River



BridgeportNew HavenStamford



BRIDGEPORT− STAMFORD− NORWALK



All boundaries and names are as of November 2004.

U.S. DEPARTMENT OF COMMERCE Economics and Statistics Administration Bureau of the Census



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



C-15



Appendix D. Guide to State Statistical Abstracts and State Information

The bibliography below includes the most recent statistical abstracts for states published since 1999, plus those that will be issued in late 2005. For some states, a near equivalent has been listed in substitution for, or in addition to, a statistical abstract. All sources contain statistical tables on a variety of subjects for the state as a whole, its component parts, or both. Internet sites also contain statistical data. Alabama University of Alabama, Center for Business and Economic Research, Box 870221, Tuscaloosa, AL 35487-0221. 205-348-6191. Fax: 205-348-2951. Internet site . Economic Abstract of Alabama, 2000. Alabama Economic Outlook, 2005. Revised annually. Alaska Department of Community and Economic Development, Division of Community Advocacy, 550 W. 7th Avenue, Suite 1770, Anchorage, AK 99501-2341. 907-269-4580. Fax: 907-269-4539. Internet site . The Alaska Economic Performance Report, 2004. Online. Arizona Economic and Business Research Center, University of Arizona, McClelland Hall, Rm. 103, P.O. Box 210108, Tucson, AZ 85721-0108. 520-621-2155. Fax: 520-621-2150. Internet site . Arizona Statistical Abstract, 2003. Arizona’s Economy. Quarterly newsletter. Arizona Economic Indicators. Semiannual. Online. Arkansas University of Arkansas at Little Rock, Institute for Economic Advancement, Economic Research, 2801 South University Avenue, Little Rock, AR 72204. 501-569-8519. Fax: 501-569-8538. Internet site . State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Arkansas State and County Economic Data, 2003. Revised annually. Arkansas Personal Income Handbook, 2003. Arkansas Statistical Abstract, 2004. Revised biennially. California Department of Finance, 915 L Street, Sacramento, CA 95814. 916-445-3878. Internet site . California Statistical Abstract, 2004. Annual. Online only. Colorado University of Colorado, University Libraries, 184 UCB, 1720 Pleasant St., Boulder, CO 80309-0184. 303-492-8834. Internet site . Colorado by the Numbers. Online only. Connecticut Connecticut Department of Economic and Community Development, 505 Hudson St., Hartford, CT 06106. 1-860-270-8000. Internet site . Connecticut Town Profiles, 2003–2004. Delaware Delaware Economic Development Office, 99 Kings Highway, Dover, DE 19901. 302-739-4271. Fax: 302-739-2028. Internet site . Delaware Statistical Overview, 2002–2003. District of Columbia Business Resource Center, John A. Wilson Building, 1350 Pennsylvania Avenue, NW, Washington, DC 20004. 202-727-1000. Internet site . Market Facts and Statistics. Online only. D–1



Florida University of Florida, Bureau of Economic and Business Research, P.O. Box 117145, 221 Matherly Hall, Gainesville, FL 32611-7145. 352-392-0171, ext. 219. Internet site . Florida Statistical Abstract, 2004. 38th edition. Annual. Also available on CD-ROM. Florida County Perspective, 2004. One profile for each county. Annual. Also available on CD-ROM. Florida County Rankings, 2004. 11th edition. Annual. Also available on CD-ROM. Georgia University of Georgia, Selig Center for Economic Growth, Terry College of Business, Athens, GA 30602-6269. 706-542-4085. Internet site . Georgia Statistical Abstract, 2004–05. University of Georgia, Center for Agribusiness and Economic Development, 301 Lumpkin House, Athens, GA 30602-7509. 706-542-8938 or 706-542-0760. Fax: 706-542-8934. Internet site . The Georgia County Guide, 2004. Annual. Hawaii Hawaii State Department of Business, and Economic Development and Tourism, Research and Economic Analysis Division, Statistics and Data Support Branch, P.O. Box 2359, Honolulu, HI 96804. 808-586-2423. Internet site . The State of Hawaii Data Book 2003: A Statistical Abstract. Annual. Idaho Idaho Commerce and Labor, 700 West State St., P.O. Box 83720, Boise, ID 83720-0093. 208-334-2650. Internet site . County Profiles of Idaho, 2003. Online. Idaho Community Profiles, 2003. Online. Profile of Rural Idaho, 1999. Illinois Institute of Government and Public Affairs, 1007 W. Nevada Street, Urbana, IL 61801. 217-333-3340. Internet site . Illinois Statistical Abstract, 2004. Online only. D–2



Indiana Indiana University, Indiana Business Research Center, Kelley School of Business, Ste 3110, 1275 E. 10th Street, Bloomington, IN 47405. 812-855-4848. Internet site . STATS Indiana. Online only. Iowa Office of Social and Economic Trend Analysis, 303 East Hall, Ames, IA 50010-1070. 515-294-9903. Fax: 515-294-0592. Internet site . Iowa by the Numbers, 2004. CD-ROM. State Library of Iowa, State Data Center, Ola Babcock Miller Building, East 12th and Grand, Des Moines, IA 50319. 1-800-248-4483. Fax: 515-242-6543. Internet site . Kansas University of Kansas, Policy Research Institute, 1541 Lilac Lane, 607 Blake Hall, Lawrence, KS 66044-3177. 785-864-3701. Fax: 785-864-3683. Internet site . Kansas Statistical Abstract, 2003. 38th edition. Online only. Kentucky Kentucky Cabinet for Economic Development, Division of Research, 300 West Broadway, Frankfort, KY 40601. 1-800-626-2930. Internet site . Kentucky Deskbook of Economic Statistics. Online only. Louisiana The University of Louisiana at Monroe, 700 University Avenue, Monroe, Louisiana 71209. 318-342-1000. Internet site . Louisiana Electronic Assistance Program. Online only. Louisiana State Census Data Center, Office of Electronic Services, P.O. Box 94095, Baton Rouge, LA 70804-9095. 225-219-4025. Fax: 225-219-4027. Internet site . State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Maine Maine State Planning Office, #38 State House Station, 184 State Street, Augusta, ME 04333. 1-800-662-4545. Fax: 207-287-6489. Internet site . Maryland RESI, Towson University, 8000 York Road, Towson, MD 21252-7097. 410-704-7374. Fax 410-704-4115. Internet site . Maryland Statistical Abstract, 2003. Massachusetts MassCHIP, Massachusetts Department of Public Health, 250 Washington Street, 6th Floor, Boston, MA 02108. 617-624-5629. Internet site . Instant Topics. Online only. Michigan Michigan Economic Development Coporation, 300 North Washington Square, Lansing, MI 48913. 517-373-9808. Internet site . Economic Profiler. Online only. Minnesota Minnesota Department of Employment and Economic Development, 1st National Bank Building, 332 Minnesota Street, Suite E200, Saint Paul, MN 55101-1351. 1-800-657-3858. Internet site . Compare Minnesota: Profiles of Minnesota’s Economy and Population, 2002-2003. State Demographic Center, 650 Cedar Street, Saint Paul, MN 55155. 651-296-2557. Internet site . Mississippi Mississippi State University, College of Business and Industry, Division of Research, P.O. Box 5288, Mississippi State, MS 39762. 662-325-3817. Fax: 662-325-8686. Mississippi Statistical Abstract, 2003. State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Missouri University of Missouri, Economic and Policy Analysis Research Center, 10 Professional Building, Columbia, MO 65211. 573-882-4805. Fax: 573-882-5563. Internet site . Statistical Abstract for Missouri, 2003. Biennial. Online only. Montana Census and Economic Information Center, Montana Department of Commerce, 301 S. Park, P.O. Box 200505, Helena, MT 59620-0505. 406-841-2740. Internet site . Nebraska Nebraska Department of Economic Development, P.O. Box 94666, 301 Centennial Mall South, Lincoln, NE 685094666. 1-800-426-6505. Fax 402-471-3778. Internet site . Nebraska Data Book. Online only. Nevada Department of Administration, Budget and Planning Division, 209 East Musser Street, Suite 200, Carson City, NV 89701. 775-684-0222. Fax: 775-684-0260. Internet site . Nevada Statistical Abstract, 2004. Online only. New Hampshire New Hampshire Office of Energy and Planning, 57 Regional Drive, Suite 3, Concord, NH 03301-8519. 603-271-2155. Fax 603-271-2615. Internet site . New Jersey New Jersey State Data Center, NJ Department of Labor and Workforce Development, P.O. Box 388, Trenton, NJ 086250388. 609-984-2595. Fax: 609-984-6833. Internet site . Labor Market Information. Online only. D–3



New Mexico University of New Mexico, Bureau of Business and Economic Research, MSC02 1720, Albuquerque, NM 871310001. 505-277-2216. Fax 505-277-7066. Internet site . New Mexico Business, Current Economic Report. Monthly. FOR-UNM Bulletin. Quarterly. New York Nelson A. Rockefeller Institute of Government, 411 State Street, Albany, NY 12203-1003. 518-443-5522. Fax: 518-443-5788. Internet site . New York State Statistical Yearbook, 2004. 29th edition. North Carolina Office of Governor, Office of State Budget and Management, 116 West Jones Street, Raleigh, NC 27603-8005. 919-733-7061. Fax 919-733-0640. Internet site . How North Carolina Ranks, 2004. Online only. North Dakota University of North Dakota, Bureau of Business and Economic Research, P.O. Box 8369, Grand Forks, ND 58202. 1-800-225-5863. Fax 701-777-3365. Internet site . North Dakota Statistical Abstract. Online only. Ohio Office of Strategic Research, Ohio Department of Development, P.O. Box 1001, Columbus, OH 43216-1001. 1-800-848-1300. Internet site . Research products and services. Updated continually. Ohio County Profiles. Updated periodically. Ohio County Indicators. Updated periodically. Oklahoma University of Oklahoma, Center for Economic and Management Research, Michael F. Price College of Business, 307 West Brooks, Room 3, Norman, OK 73019. 405-325-2933. Fax: 405-325-7688. Internet site . Statistical Abstract of Oklahoma, 1999. D–4



Oregon Secretary of State, Archives Division, Archives Bldg., 800 Summer Street, NE, Salem, OR 97310. 503-373-0701. Fax: 503-378-4118. Internet site . Oregon Blue Book, 2005–2006. Biennial. Pennsylvania Pennsylvania State Data Center, Institute of State and Regional Affairs, Penn State Harrisburg, 777 West Harrisburg Pike, Middletown, PA 17057-4898. 717-948-6336. Fax: 717-948-6754. Internet site . Pennsylvania Statistical Abstract, 2004. Rhode Island Rhode Island Economic Development Corporation, One West Exchange Street, Providence, RI 02903. 401-222-2601. Internet site . RI Data Bank. Online only. South Carolina Budget and Control Board, Office of Research and Statistics, 1919 Blanding Street, Columbia, SC 29201. 803-898-9940. Internet site . South Carolina Statistical Abstract, 2005. South Dakota South Dakota State Data Center, Business Research Bureau, The University of South Dakota, 414 E. Clark Street, Vermillion, SD 57069. 605-677-5287. Fax: 605-677-5427. Internet site . 2003 South Dakota Community Abstracts. Tennessee College of Business Administration, The University of Tennessee, Temple Court, Suite 100, 804 Volunteer Blvd., Knoxville, TN 37996-4334. 865-974-5441. Fax: 865-974-3100. Internet site . Tennessee Statistical Abstract, 2003. Biennial. Texas Dallas Morning News, Communications Center, P.O. Box 655237, Dallas, TX 75265-5237. State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



214-977-8261. Internet site . Texas Almanac, 2004–2005. Texas State Data Center and Office of the State Demographer, Institute for Demographic and Socioeconomic Research, University of Texas at San Antonio, 6900 North Loop, 1604 West, San Antonio, TX 78249-0704. 210-458-6543. Fax: 210-458-6541. Internet site . Utah Governor’s Office of Planning and Budget, Demographic and Economic Analysis, State Capitol Complex, Suite 210, East Office Building, Salt Lake City, UT 84114-2210. 801-538-1027. Fax: 801-538-1547. Internet site . 2005 Economic Report to the Governor. Annual. Utah Data Guide Newsletter. Quarterly. Vermont Department of Employment and Training, Labor Market Information, P.O. Box 488, Montpelier, VT 05601-0488. 802-828-4202. Fax: 802-828-4050. Internet site . Vermont Economic-Demographic Profile, 2005. Annual. Virginia Weldon Cooper Center, P.O. Box 400206, Charlottesville, VA 22904-4206. 434-982-5582. Fax: 434-982-4596. Internet site . Virginia Statistical Abstract. Online only. Washington Washington State Office of Financial Management, Forecasting Division, P.O. Box 43113, Olympia, WA 985043113. 360-902-0555. Internet site . Washington State Data Book, 2003. Biennial. West Virginia West Virginia University, College of Business and Economics, Bureau of Business and Economic Research, P.O. Box 6025, Morgantown, WV 26506-6025. 304-293-7831. Fax: 304-293-5652. Internet site . 2004 West Virginia County Data Profiles. West Virginia Economic Outlook, 2005. Annual. State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Wisconsin Wisconsin Legislative Reference Bureau, P.O. Box 2037, Madison, WI 53701-2037. 608-266-0341. Internet site . 2003–2004 Wisconsin Blue Book. Biennial. Wyoming Department of Administration and Information, Economic Analysis Division, 1807 Capitol Avenue, Suite 206, Cheyenne, WY 82002-0060. 307-777-7504. Fax: 307-632-1819. Internet site . The Equality State Almanac, 2002. KEY FEDERAL WEB SITES WITH STATE-LEVEL INFORMATION Many federal government agencies publish state-level information. The ones selected below have large concentrations of such information in easy-to-locate Web sites. U.S. BUREAU OF ECONOMIC ANALYSIS Gross State Product at . Personal income at . U.S. BUREAU OF LABOR STATISTICS Current Employment Statistics at . Geographic Profile of Employment and Unemployment at . State occupational injuries, illnesses, and fatalities at . U.S. CENSUS BUREAU American Community Survey data at . Annual Survey of Manufactures at . Building permits at . County Business Patterns at . 2002 Economic Census data at . D–5



Foreign trade at . Housing unit estimates at . Population estimates at . State and County QuickFacts profiles at . State government finances at . State government employment at . U.S. DEPARTMENT OF AGRICULTURE Economic Research Service Agricultural exports at . Farm income at . State Fact Sheets at . National Agricultural Statistics Service Census of Agriculture 2002 at . Other reports at . U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System at .



Fast Stats A to Z at . Substance Abuse and Mental Health Services Administration State-level data at . ENERGY INFORMATION ADMINISTRATION Energy consumption at . General state information at . State Electricity Profiles at . NATIONAL CENTER OF EDUCATION STATISTICS State Education Data Profiles at . NATIONAL SCIENCE FOUNDATION Science and Engineering State Profiles at . U.S. DEPARTMENT OF TRANSPORTATION Federal Highway Administration Highway statistics at . National Highway Traffic Safety Administration State traffic safety information at .



D–6



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Appendix E. Ranking Tables



Page E–2 E–3 E–4 E–5 E–6 E–7 E–8 E–9 E–9 E–10 E–10 E–11



State Rankings Table Table Table Table Table Table Table Table Table Table Table Table Area and Population Population Projections Population by Age Group Median Income of Households and Families in Constant (2003) Dollars Poverty Status of Families and Individuals in the Past 12 Months Value and Gross Rent of Specified Owner- and Renter-Occupied Units, Homeownership Rates, Vacancy Rates, and Housing Prices E-7. Cost of Living Indicators—Utilities, Gasoline, and Tax Rates E-8. Population by Residence E-9. Population by Race and Hispanic Origin—Percent of Total: 2004 E-10. Persons With and Without Health Insurance Coverage: 2003 E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E-12. Social Insurance, Human Services, Medicare, Medicaid, and State Children’s Health Insurance Program: 2003 E-1. E-2. E-3. E-4. E-5. E-6.



Metropolitan Area Rankings E–12 E–17 E–22 E–27 E–32 Table Table Table Table Table E-13. E-14. E-15. E-16. E-17. Population Indicators Population Characteristics Social and Housing Indicators Economic Indicators Business and Federal Funds



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–1



Table E-1. State Rankings — Area and Population

Area, 2000 Geographic area Total (sq. mi.) United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,794,083 52,419 663,267 113,998 53,179 163,696 104,094 5,543 2,489 68 65,755 59,425 10,931 83,570 57,914 36,418 56,272 82,277 40,409 51,840 35,385 12,407 10,555 96,716 86,939 48,430 69,704 147,042 77,354 110,561 9,350 8,721 121,590 54,556 53,819 70,700 44,825 69,898 98,381 46,055 1,545 32,020 77,117 42,143 268,581 84,899 9,614 42,774 71,300 24,230 65,498 97,814 2005 (1,000) 296,410 4,558 664 5,939 2,779 36,132 4,665 3,510 844 551 17,790 9,073 1,275 1,429 12,763 6,272 2,966 2,745 4,173 4,524 1,322 5,600 6,399 10,121 5,133 2,921 5,800 936 1,759 2,415 1,310 8,718 1,928 19,255 8,683 637 11,464 3,548 3,641 12,430 1,076 4,255 776 5,963 22,860 2,470 623 7,567 6,288 1,817 5,536 509 2000 (1,000) 281,425 4,447 627 5,131 2,673 33,872 4,302 3,406 784 572 15,983 8,187 1,212 1,294 12,420 6,081 2,926 2,689 4,042 4,469 1,275 5,297 6,349 9,938 4,919 2,845 5,597 902 1,711 1,998 1,236 8,414 1,819 18,977 8,046 642 11,353 3,451 3,421 12,281 1,048 4,012 755 5,689 20,852 2,233 609 7,079 5,894 1,808 5,364 494

2



Population Rank 1990 (1,000) 248,791 4,040 550 3,665 2,351 29,811 3,294 3,287 666 607 12,938 6,478 1,108 1,007 11,431 5,544 2,777 2,478 3,687 4,222 1,228 4,781 6,016 9,295 4,376 2,575 5,117 799 1,578 1,202 1,109 7,748 1,515 17,991 6,632 639 10,847 3,146 2,842 11,883 1,003 3,486 696 4,877 16,986 1,723 563 6,189 4,867 1,793 4,892 454

3



Population per square mile of land area1 Rank



Population change, 2000–2005 Net change Number (1,000) 14,985.8 110.5 36.7 808.7 105.8 2,260.5 363.2 104.7 59.9 –21.5 1,807.0 885.8 63.7 135.1 343.7 191.5 40.0 55.9 131.1 54.7 46.6 303.9 49.6 182.4 213.3 76.4 203.6 33.5 47.5 416.6 74.2 303.6 109.3 277.8 636.8 –5.5 110.9 97.2 219.6 148.6 27.9 243.3 21.1 273.7 2,008.2 236.4 14.2 488.4 393.6 8.5 172.5 15.5 Percent change Number 5.3 2.5 5.9 15.8 4.0 6.7 8.4 3.1 7.6 –3.8 11.3 10.8 5.3 10.4 2.8 3.1 1.4 2.1 3.2 1.2 3.7 5.7 0.8 1.8 4.3 2.7 3.6 3.7 2.8 20.8 6.0 3.6 6.0 1.5 7.9 –0.9 1.0 2.8 6.4 1.2 2.7 6.1 2.8 4.8 9.6 10.6 2.3 6.9 6.7 0.5 3.2 3.1



Rank (X) 30 1 6 29 3 8 48 49 (X) 22 24 43 14 25 38 26 15 37 31 39 42 44 11 12 32 21 4 16 7 46 47 5 27 28 19 34 20 9 33 50 40 17 36 2 13 45 35 18 41 23 10



2005 (X) 23 47 17 32 1 22 29 45 (X) 4 9 42 39 5 15 30 33 26 24 40 19 13 8 21 31 18 44 38 35 41 10 36 3 11 48 7 28 27 6 43 25 46 16 2 34 49 12 14 37 20 50



2000 (X) 23 48 20 33 1 24 29 45 (X) 4 10 42 39 5 14 30 32 25 22 40 19 13 8 21 31 17 44 38 35 41 9 36 3 11 47 7 27 28 6 43 26 46 16 2 34 49 12 15 37 18 50



1990 (X) 22 49 24 33 1



2005 83.8 89.8 1.2 52.3 53.4 231.7



2000 79.6 87.6 1.1 45.2 51.3 217.2



1990 70.3 79.6 1.0 32.3 45.1 191.1



2005 (X) 26 50 35 33 11 37 4 6 (X) 8 18 13 44 12 17 34 40 22 23 38 5 3 16 31 32 28 48 42 43 19 1 45 7 15 47 9 36 39 10 2 21 46 20 27 41 30 14 25 29 24 49



2000 (X) 26 50 36 34 12 37 4 7 (X) 8 18 13 44 11 16 33 40 23 22 38 5 3 15 31 32 27 48 42 43 20 1 45 6 17 47 9 35 39 10 2 21 46 19 28 41 30 14 25 29 24 49



1990 (X) 25 50 37 35 12 38 4 7 (X) 10 21 13 44 11 16 33 39 23 22 36 5 3 14 31 32 27 48 42 45 18 1 43 6 17 46 9 34 40 8 2 20 47 19 29 41 30 15 28 26 24 49



Rank (X) 28 43 5 30 1 10 31 36 (X) 3 4 35 25 11 21 42 37 26 38 41 12 39 22 19 33 20 44 40 8 34 13 29 14 6 50 27 32 18 24 45 16 46 15 2 17 48 7 9 49 23 47



Rank (X) 39 18 2 23 13 8 32 10 (X) 3 4 20 6 36 30 44 41 28 45 25 19 48 42 22 37 26 24 35 1 17 27 16 43 9 50 47 33 14 46 38 15 34 21 7 5 40 11 12 49 29 31



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



26 45.0 41.5 31.8 27 724.5 702.9 678.5 46 431.8 401.1 341.0 (X) 8,966.1 9,316.4 9,884.4 4 329.9 296.4 239.9 11 41 42 6 14 30 32 23 21 38 19 13 8 20 31 15 44 36 39 40 156.7 198.5 17.3 229.6 174.9 53.1 33.5 105.0 103.8 42.8 573.0 816.2 178.2 64.5 62.3 84.2 6.4 22.9 22.0 146.1 141.4 188.6 15.6 223.4 169.5 52.4 32.9 101.7 102.6 41.3 541.9 809.8 175.0 61.8 60.6 81.2 6.2 22.3 18.2 137.8 111.9 172.6 12.2 205.6 154.6 49.7 30.3 92.8 96.9 39.8 489.1 767.4 163.6 55.0 54.9 74.3 5.5 20.5 10.9 123.7



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



9 1,175.3 1,134.4 1,044.5 37 15.9 15.0 12.5 2 407.8 401.9 381.0 10 178.3 165.2 136.2 47 9.2 9.3 9.3 7 280.0 277.3 28 51.7 50.3 29 37.9 35.6 5 277.3 274.0 43 1,029.9 1,003.2 25 45 17 3 35 48 12 18 34 16 50 141.3 10.2 144.7 87.3 30.1 67.4 191.1 94.5 75.5 101.9 5.2 133.2 9.9 138.0 79.6 27.2 65.8 178.8 88.6 75.1 98.8 5.1 264.9 45.8 29.6 265.1 960.3 115.8 9.2 118.3 64.9 21.0 60.8 156.3 73.1 74.5 90.1 4.7



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



X Not applicable. Persons per square mile were calculated on the basis of land area data from the 2000 census. The April 1, 2000, Population Estimates base reflects modifications to the Census 2000 population as documented in the Count Question Resolution program and geographic program revisions. The April 1, 1990, census counts include corrections processed through August 1997 and results of special censuses and test censuses, and do not include adjustments for census coverage errors.

2 3 1



Note: When states share the same rank, the next lower rank is omitted. States may share the same value but have different ranks due to rounding. Survey, Census, or Data Collection Method: Based on the Census of Population and Housing; for information, see Appendix B, Limitations of the Data and Methodology, and Internet sites and . Sources: Area—U.S. Census Bureau, 2000 Census of Population and Housing, Summary Population and Housing Characteristics, Series PHC-1; and unpublished data on American FactFinder; Population—U.S. Census Bureau, 1990 Census of Population and Housing, Population and Housing Unit Counts (CPH-2); ‘‘Time Series of Intercensal State Population Estimates: April 1, 1990 to April 1, 2000’’ (CO-EST2001-12-00), published 11 April 2002; Internet site ; and ‘‘Annual Estimates of the Population for the United States and States, and for Puerto Rico: April 1, 2000 to July 1, 2005’’ (NST-EST2005-01), published 22 December 2005; Internet site ; Population change—U.S. Census Bureau, ‘‘Table 4: Cumulative Estimates of the Components of Population Change for the United States and States: April 1, 2000 to July 1, 2005’’ (NST-EST2005-04), published 22 December 2005; Internet site .



E–2



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table E-2. State Rankings — Population Projections

Number (1,000) Geographic area 2000– 2010 9.8 3.4 10.7 29.4 7.5 12.4 12.3 5.0 12.9 –7.4 20.5 17.1 10.7 17.3 4.0 5.1 2.9 4.4 5.5 3.2 6.4 11.5 4.7 4.9 10.2 4.5 5.8 7.4 3.4 34.6 12.1 7.2 8.9 2.5 16.1 –0.9 2.0 4.1 10.8 2.5 6.5 10.8 4.2 9.5 18.2 16.2 7.2 13.2 11.0 1.2 6.8 5.3 2010– 2020 8.7 2.9 11.6 27.4 6.4 10.9 9.3 2.7 8.9 –9.3 21.6 13.1 5.3 14.8 2.5 3.7 0.4 3.0 3.7 2.3 3.8 10.0 3.1 2.6 8.9 2.5 4.7 5.6 1.9 28.3 10.0 4.9 5.3 0.7 14.6 –1.0 0.6 4.0 12.4 1.6 3.4 8.5 2.0 8.8 16.2 15.2 5.9 11.3 13.6 –1.5 4.8 2.1 2020– 2030 8.3 3.1 12.0 26.7 5.9 10.0 9.7 0.4 5.1 –9.8 22.6 10.8 3.8 13.1 1.5 2.8 –2.2 1.7 3.0 1.8 0.2 8.1 2.3 0.0 6.9 1.6 3.7 2.2 1.0 24.0 8.0 3.6 0.7 –0.5 14.2 –3.7 –0.8 4.8 13.5 –0.1 –0.1 6.8 –0.2 8.8 16.4 16.6 3.1 10.2 16.0 –4.5 2.4 –1.5 2000– 2010 (X) 43 18 2 23 11 12 34 10 (X) 3 6 19 5 41 33 45 38 31 44 29 14 36 35 20 37 30 24 42 1 13 25 22 47 8 50 48 40 17 46 28 16 39 21 4 7 26 9 15 49 27 32 Rank Percent change Rank 2010– 2020 (X) 36 11 2 21 13 16 37 17 (X) 3 9 24 6 39 32 48 35 31 41 30 15 34 38 18 40 28 23 44 1 14 26 25 46 7 49 47 29 10 45 33 20 43 19 4 5 22 12 8 50 27 42 2020– 2030 (X) 26 10 1 20 13 14 39 21 (X) 3 11 23 9 36 29 48 34 28 33 40 16 31 41 18 35 24 32 37 2 17 25 38 45 7 49 46 22 8 43 42 19 44 15 5 4 27 12 6 50 30 47



2005 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295,507 4,527 661 5,868 2,777 36,039 4,618 3,503 837 551 17,510 8,926 1,277 1,407 12,699 6,250 2,974 2,752 4,163 4,534 1,319 5,601 6,519 10,207 5,175 2,916 5,765 933 1,744 2,352 1,315 8,745 1,902 19,258 8,702 635 11,478 3,521 3,596 12,427 1,087 4,239 772 5,965 22,775 2,418 631 7,553 6,205 1,819 5,554 507



2010 308,936 4,596 694 6,637 2,875 38,067 4,832 3,577 884 530 19,252 9,589 1,341 1,517 12,917 6,392 3,010 2,805 4,265 4,613 1,357 5,905 6,649 10,429 5,421 2,971 5,922 969 1,769 2,691 1,386 9,018 1,980 19,444 9,346 637 11,576 3,592 3,791 12,584 1,117 4,447 786 6,231 24,649 2,595 653 8,010 6,542 1,829 5,727 520



2015 322,366 4,663 733 7,495 2,969 40,123 5,049 3,635 927 506 21,204 10,231 1,386 1,630 13,097 6,518 3,026 2,853 4,351 4,674 1,389 6,208 6,759 10,599 5,668 3,014 6,070 999 1,789 3,058 1,457 9,256 2,042 19,547 10,011 635 11,635 3,662 4,013 12,711 1,140 4,642 797 6,502 26,586 2,783 673 8,467 6,951 1,823 5,883 528



2020 335,805 4,729 774 8,456 3,060 42,207 5,279 3,676 963 481 23,407 10,844 1,412 1,741 13,237 6,627 3,020 2,891 4,424 4,719 1,409 6,498 6,856 10,696 5,901 3,045 6,200 1,023 1,803 3,452 1,525 9,462 2,084 19,577 10,709 630 11,644 3,736 4,260 12,787 1,154 4,823 802 6,781 28,635 2,990 691 8,917 7,432 1,801 6,005 531



2025 349,439 4,800 821 9,532 3,151 44,305 5,523 3,691 991 455 25,912 11,439 1,439 1,853 13,341 6,721 2,993 2,919 4,490 4,762 1,414 6,763 6,939 10,714 6,109 3,069 6,315 1,037 1,813 3,863 1,586 9,637 2,107 19,540 11,449 621 11,606 3,821 4,536 12,802 1,158 4,990 802 7,073 30,865 3,226 703 9,364 7,996 1,766 6,088 529



2030 363,584 4,874 868 10,712 3,240 46,445 5,792 3,689 1,013 433 28,686 12,018 1,466 1,970 13,433 6,810 2,955 2,940 4,555 4,803 1,411 7,022 7,012 10,694 6,306 3,092 6,430 1,045 1,820 4,282 1,646 9,802 2,100 19,477 12,228 607 11,551 3,913 4,834 12,768 1,153 5,149 800 7,381 33,318 3,485 712 9,825 8,625 1,720 6,151 523



2005 (X) 24 47 17 32 1 22 29 45 (X) 4 9 42 39 5 14 30 33 26 23 40 19 13 8 21 31 18 44 38 35 41 10 36 3 11 48 7 28 27 6 43 25 46 16 2 34 49 12 15 37 20 50



2010 (X) 24 47 14 32 1 22 29 45 (X) 4 9 42 39 5 16 30 33 26 23 41 19 13 8 21 31 18 44 38 34 40 11 36 3 10 49 7 28 27 6 43 25 46 17 2 35 48 12 15 37 20 50



2015 (X) 24 47 13 33 1 22 29 45 (X) 3 9 42 39 5 16 31 34 26 23 41 18 15 8 21 32 19 44 38 30 40 11 36 4 10 49 7 28 27 6 43 25 46 17 2 35 48 12 14 37 20 50



2020 (X) 24 47 13 31 1 22 29 45 (X) 3 8 41 39 5 17 33 35 26 25 42 18 15 10 21 32 19 44 37 30 40 11 36 4 9 49 7 28 27 6 43 23 46 16 2 34 48 12 14 38 20 50



2025 (X) 24 46 12 32 1 22 30 45 (X) 3 9 41 37 5 18 34 35 27 25 42 17 16 10 20 33 19 44 38 28 40 11 36 4 8 49 7 29 26 6 43 23 47 15 2 31 48 13 14 39 21 50



2030 (X) 24 46 10 32 1 22 30 45 (X) 3 8 41 37 5 18 34 35 27 26 42 16 17 11 20 33 19 44 38 28 40 13 36 4 7 49 9 29 25 6 43 23 47 15 2 31 48 12 14 39 21 50



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



X Not applicable. Note: When states share the same rank, the next lower rank is omitted. States may share the same value but have different ranks due to rounding. Survey, Census, or Data Collection Method: Based on calculations using National Center for Health Statistics (NCHS) fertility and mortality rates, state migration patterns derived from the Internal Revenue Service (IRS) and Census 2000, and international migration derived from the Population Estimates Program and data on the foreign-born population in Census 2000; for information, see Internet site . Source: U.S. Census Bureau, ‘‘State Interim Population Projections by Age and Sex: 2004–2030,’’ published 21 April 2005. See Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–3



Table E-3. State Rankings — Population by Age Group

Population under 18 years Geographic area 2004 (1,000) United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,278 1,095 188 1,547 677 9,596 1,179 839 194 110 4,003 2,333 299 372 3,238 1,600 680 683 980 1,165 282 1,395 1,464 2,533 1,240 750 1,385 208 435 604 305 2,156 492 4,572 2,118 139 2,779 860 852 2,837 244 1,025 191 1,391 6,267 740 135 1,805 1,486 385 1,308 117 2000 (1,000) 72,295 1,124 191 1,367 680 9,250 1,101 842 195 115 3,646 2,169 296 369 3,246 1,574 734 713 995 1,220 301 1,356 1,500 2,596 1,287 775 1,428 230 450 512 310 2,088 509 4,690 1,964 161 2,888 892 847 2,922 248 1,010 203 1,399 5,887 719 148 1,738 1,514 402 1,369 129 19901 (1,000) 63,941 1,064 173 986 624 7,822 864 754 164 119 2,884 1,736 282 309 2,961 1,461 721 663 957 1,233 310 1,168 1,361 2,468 1,170 750 1,319 223 430 299 280 1,817 449 4,292 1,616 176 2,808 840 727 2,807 227 925 199 1,222 4,858 629 144 1,511 1,267 445 1,292 136 2004 (X) 24 47 14 34 1 22 29 45 (X) 4 9 41 39 5 13 33 32 26 23 42 17 16 8 21 30 19 44 37 35 40 10 36 3 11 48 7 27 28 6 43 25 46 18 2 31 49 12 15 38 20 50 Rank 2000 (X) 23 47 19 34 1 24 29 46 (X) 4 9 42 39 5 13 31 33 26 22 41 20 15 8 21 30 16 44 37 35 40 10 36 3 11 48 7 27 28 6 43 25 45 17 2 32 49 12 14 38 18 50 1990 (X) 22 47 23 34 1 26 28 48 (X) 5 10 41 39 4 13 31 32 24 18 38 21 14 8 20 29 15 44 37 40 42 9 35 3 11 46 6 27 30 7 43 25 45 19 2 33 49 12 17 36 16 50 2004 (1,000) 36,294 598 42 732 381 3,823 451 474 109 67 2,928 847 172 159 1,521 772 433 355 519 528 190 635 854 1,247 615 353 766 127 232 262 157 1,126 229 2,493 1,032 93 1,525 464 460 1,897 151 520 109 738 2,217 208 81 847 703 278 716 61 2000 (1,000) 34,992 580 36 668 374 3,596 416 470 102 70 2,808 785 161 146 1,500 753 436 356 505 517 183 599 860 1,219 594 344 755 121 232 219 148 1,113 212 2,449 969 94 1,508 456 438 1,919 152 485 108 703 2,073 190 78 792 662 277 703 58 19901 (1,000) 31,082 520 22 476 349 3,113 328 444 80 77 2,356 651 124 121 1,429 694 426 342 465 467 163 514 815 1,104 546 319 715 106 223 127 125 1,026 162 2,340 800 91 1,403 423 390 1,821 150 394 102 616 1,708 149 66 661 573 268 650 47 2004 (X) 22 50 17 31 1 29 26 46 (X) 2 12 40 41 7 14 30 32 25 23 39 20 11 8 21 33 15 44 36 35 42 9 37 3 10 47 6 27 28 5 43 24 45 16 4 38 48 13 19 34 18 49 Population 65 years and over Rank 2000 (X) 22 50 18 31 1 30 26 46 (X) 2 13 40 43 7 15 29 32 24 23 39 20 11 8 21 33 14 44 35 36 42 9 37 3 10 47 6 27 28 5 41 25 45 16 4 38 48 12 19 34 17 49 1990 (X) 20 50 22 30 1 32 25 47 (X) 2 15 42 43 6 13 26 31 24 23 36 21 10 8 19 33 12 44 35 40 41 9 37 3 11 46 7 27 29 4 38 28 45 17 5 39 48 14 18 34 16 49 Percent of population by age, 2004 Under 18 years Percent 25.0 24.2 28.7 26.9 24.6 26.7 25.6 23.9 23.3 19.8 23.0 26.4 23.7 26.7 25.5 25.7 23.0 25.0 23.6 25.8 21.4 25.1 22.8 25.1 24.3 25.8 24.1 22.5 24.9 25.9 23.5 24.8 25.9 23.8 24.8 21.9 24.3 24.4 23.7 22.9 22.6 24.4 24.8 23.6 27.9 31.0 21.7 24.2 24.0 21.2 23.7 23.1 Rank (X) 28 2 4 22 5 13 31 39 (X) 42 7 35 6 14 12 41 17 36 11 49 15 44 16 25 10 29 46 18 9 38 20 8 32 19 47 26 24 34 43 45 23 21 37 3 1 48 27 30 50 33 40 65 years and over Percent 12.4 13.2 6.4 12.7 13.8 10.7 9.8 13.5 13.1 12.1 16.8 9.6 13.6 11.4 12.0 12.4 14.7 13.0 12.5 11.7 14.4 11.4 13.3 12.3 12.1 12.2 13.3 13.7 13.3 11.2 12.1 12.9 12.1 13.0 12.1 14.7 13.3 13.2 12.8 15.3 13.9 12.4 14.2 12.5 9.9 8.7 13.0 11.4 11.3 15.3 13.0 12.1 Rank (X) 17 50 26 9 45 47 12 19 (X) 1 48 11 41 38 30 5 23 27 39 6 40 13 31 35 32 15 10 16 44 37 24 36 22 33 4 14 18 25 3 8 29 7 28 46 49 20 42 43 2 21 34



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



X Not applicable.

1



The April 1, 1990, data shown here do not reflect the corrections referred to in footnote 2 of Table A-1.



Note: When states share the same rank, the next lower rank is omitted. States may share the same value but have different ranks due to rounding. Survey, Census, or Data Collection Method: Based on the Census of Population and Housing; for information, see Appendix B, Limitations of the Data and Methodology, and sites and . Source: U.S. Census Bureau, ‘‘State Single Year of Age and Sex Population Estimates: April 1, 2000 to July 1, 2004—RESIDENT’’; see Internet site ; and ‘‘Age and Sex for States and for Puerto Rico: April 1, 2000 to July 1, 2004’’; see Internet site ; and ‘‘Table ST-99-9 Population Estimates for the U.S., Regions, and States by Selected Age Groups and Sex: Annual Time Series, July 1, 1990 to July 1, 1999,’’ published 9 March 2000; see Internet site .



E–4



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table E-4. State Rankings — Median Income of Households and Families in Constant



(2003) Dollars

Median household income in (2003) dollars Geographic area 2003 United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,564 35,158 52,499 40,762 34,246 50,220 50,538 56,803 50,583 42,118 39,871 42,742 50,787 39,492 47,977 42,067 40,526 41,075 34,368 34,141 39,838 57,218 53,610 44,407 50,100 32,466 40,725 35,399 41,406 45,395 53,910 58,588 34,805 46,195 38,234 37,554 41,350 35,129 40,319 41,478 48,854 38,467 38,415 38,247 40,674 46,873 43,697 50,805 46,868 31,008 44,084 43,332 2002 44,049 35,937 57,567 41,907 35,218 50,574 49,017 57,539 50,883 44,668 40,050 42,725 51,400 38,034 47,458 42,573 40,020 40,789 35,650 34,092 40,676 56,858 56,367 44,723 50,320 32,566 40,967 35,980 40,725 44,846 55,456 60,031 36,721 45,703 38,972 36,895 41,353 36,228 41,207 41,899 46,653 38,739 38,068 37,913 42,184 47,505 44,745 49,879 46,983 31,626 44,667 41,925 2001 43,937 34,919 58,292 42,190 34,094 50,009 49,237 58,427 50,979 42,264 39,561 43,932 51,897 38,462 47,853 43,349 40,989 40,333 34,831 34,763 39,011 55,761 54,718 46,036 51,560 33,456 40,593 34,052 41,178 45,418 54,693 58,429 35,561 45,567 40,296 36,483 42,212 35,154 42,012 42,333 44,373 40,143 38,140 37,541 41,915 47,873 43,636 50,396 47,579 30,548 44,649 40,479 2000 44,270 35,576 56,586 41,171 35,312 49,699 49,445 57,693 50,983 43,534 40,626 44,048 54,904 40,093 48,737 43,496 40,767 42,970 35,029 32,981 38,980 55,796 53,204 46,305 50,986 34,947 39,661 35,438 39,899 45,481 54,199 57,727 35,602 46,691 40,302 36,768 42,453 36,309 41,769 42,319 46,750 38,894 37,174 39,035 42,069 48,461 43,207 50,276 48,120 31,102 45,140 41,191 2003 (X) 43 6 29 47 11 10 3 9 (X) 34 23 8 36 14 24 32 28 46 48 35 2 5 19 12 49 30 42 26 18 4 1 45 17 40 41 27 44 33 25 13 37 38 39 31 15 21 7 16 50 20 22 Rank 2002 (X) 45 2 26 47 9 12 3 8 (X) 34 22 7 39 14 23 35 31 46 48 33 4 5 20 10 49 30 44 32 18 6 1 42 17 36 41 28 43 29 27 16 37 38 40 24 13 19 11 15 50 21 25 2001 (X) 44 3 26 47 11 12 2 9 (X) 36 21 7 38 14 23 30 33 45 46 37 4 5 16 8 49 31 48 29 18 6 1 42 17 34 41 25 43 27 24 20 35 39 40 28 13 22 10 15 50 19 32 2000 (X) 44 3 30 46 11 12 2 9 (X) 32 21 5 34 13 22 31 24 47 49 38 4 7 18 8 48 36 45 35 19 6 1 43 17 33 41 25 42 28 26 16 39 40 37 27 14 23 10 15 50 20 29 2003 52,273 43,307 61,117 47,219 41,072 56,530 59,252 69,917 61,270 50,243 47,442 50,647 60,647 46,783 57,385 51,338 51,336 51,157 41,898 41,831 48,541 69,087 67,527 55,018 61,417 39,182 49,441 44,503 50,756 52,502 63,439 70,263 41,661 55,309 45,540 48,386 51,522 43,259 49,800 51,339 60,165 47,081 46,824 46,654 47,479 52,481 52,895 60,174 56,461 38,568 54,500 51,627 2002 52,764 43,249 67,256 48,524 42,843 57,486 58,481 70,421 58,936 50,073 47,617 50,503 59,977 45,683 57,916 51,872 50,634 51,353 43,838 41,696 48,086 66,985 68,411 55,118 61,534 39,372 50,779 44,939 50,606 51,183 65,816 72,082 43,586 55,615 46,926 48,072 50,356 44,234 51,534 52,152 56,977 47,411 47,245 46,735 48,967 52,405 54,203 58,980 57,508 39,545 54,140 51,716 2001 52,754 43,075 64,509 48,792 41,534 56,350 58,263 70,807 59,278 49,030 46,899 50,983 60,691 44,029 58,326 52,547 50,662 49,588 42,556 42,296 45,610 67,027 67,933 55,977 61,679 40,983 50,059 41,898 50,866 52,407 64,767 69,856 41,645 54,650 48,003 47,976 52,507 43,266 50,345 52,461 56,598 48,935 47,529 45,155 48,772 54,017 51,771 59,585 58,218 38,876 54,044 50,105 2000 52,904 43,507 63,190 48,876 42,168 56,681 59,373 69,729 58,919 48,890 48,340 49,968 63,139 46,983 58,993 52,411 50,463 52,737 43,018 41,095 48,911 66,966 65,908 56,264 61,308 42,857 47,951 43,997 49,791 52,454 64,493 69,904 42,816 55,887 47,555 45,833 52,297 43,523 49,324 51,689 57,732 46,857 47,582 47,448 48,595 54,916 51,328 58,824 58,146 37,375 55,892 49,977 2003 (X) 43 8 36 48 14 12 2 7 (X) 35 29 9 39 13 25 26 27 45 46 32 3 4 17 6 49 31 42 28 20 5 1 47 16 41 33 23 44 30 24 11 37 38 40 34 21 19 10 15 50 18 22 Median family income in (2003) dollars Rank 2002 (X) 46 4 33 47 14 11 2 10 (X) 36 30 8 41 12 22 28 25 44 48 34 5 3 17 7 50 27 42 29 26 6 1 45 16 39 35 31 43 24 21 15 37 38 40 32 20 18 9 13 49 19 23 2001 (X) 43 6 33 48 15 12 1 10 (X) 38 25 8 41 11 20 27 31 44 45 39 4 3 16 7 49 30 46 26 23 5 2 47 17 35 36 21 42 28 22 14 32 37 40 34 19 24 9 13 50 18 29 2000 (X) 44 6 32 48 15 9 2 11 (X) 34 28 7 39 10 22 26 20 45 49 31 3 4 16 8 46 35 42 29 21 5 1 47 18 37 41 23 43 30 24 14 40 36 38 33 19 25 12 13 50 17 27



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



X Not applicable. Note: When states share the same rank, the next lower rank is omitted. States may share the same value but have different ranks due to rounding. Survey, Census, or Data Collection Method: Based on the American Community Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site . Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Economic Characteristics, accessed 24 June 2005. See Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–5



Table E-5. State Rankings — Poverty Status of Families and Individuals in the Past 12



Months

Number below poverty in past 12 months Families Geographic area Rank 2003 (1,000) United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,143 164 13 166 89 849 88 58 12 21 422 234 21 35 265 119 53 51 159 191 26 86 118 224 75 121 133 24 36 47 17 145 70 499 239 13 280 112 88 260 22 121 14 164 712 43 10 126 121 76 101 10 2000 (1,000) 6,615 146 11 150 96 832 64 51 14 17 387 206 19 26 262 113 53 43 148 182 22 89 110 196 66 104 118 23 28 34 11 126 64 491 203 14 246 100 84 247 23 123 16 158 639 40 12 124 127 72 75 10 2003 (X) 14 47 12 26 1 27 33 48 (X) 4 9 43 39 6 22 34 35 15 11 40 29 23 10 31 20 17 41 38 36 44 16 32 3 8 46 5 24 28 7 42 19 45 13 2 37 49 18 21 30 25 50 2000 (X) 15 49 13 25 1 32 34 46 (X) 4 8 43 39 5 21 33 35 14 11 42 26 22 10 30 23 20 40 38 37 48 17 31 3 9 45 7 24 27 6 41 19 44 12 2 36 47 18 16 29 28 50 2003 (1,000) 35,846 748 61 839 421 4,610 433 273 69 105 2,174 1,125 132 183 1,389 633 286 284 696 882 133 439 582 1,118 383 553 646 126 182 252 96 704 340 2,501 1,136 71 1,343 546 481 1,296 117 563 81 780 3,508 244 57 642 654 326 554 47 2000 (1,000) 33,311 672 55 780 439 4,520 363 254 70 94 1,987 999 103 144 1,335 592 281 247 640 862 124 477 586 975 328 498 606 117 158 194 63 651 320 2,391 1,018 71 1,216 459 439 1,240 108 557 83 745 3,056 192 63 630 667 327 461 55 Rank 2003 (X) 14 48 12 29 1 28 35 47 (X) 4 9 41 38 5 20 33 34 16 11 40 27 21 10 30 24 18 42 39 36 44 15 31 3 8 46 6 25 26 7 43 22 45 13 2 37 49 19 17 32 23 50 2000 (X) 14 49 12 27 1 29 34 46 (X) 4 9 43 39 5 20 33 35 17 11 40 24 21 10 30 23 19 41 38 36 47 16 32 3 8 45 7 26 28 6 42 22 44 13 2 37 48 18 15 31 25 50 2003 9.8 13.7 8.0 11.9 12.1 10.5 7.3 6.4 5.8 18.5 9.7 10.8 7.4 9.8 8.5 7.5 6.9 7.1 14.2 16.6 7.6 6.1 7.5 8.6 5.6 16.4 8.6 9.9 8.2 8.7 5.1 6.6 14.8 10.7 10.7 8.4 9.4 12.4 9.7 8.2 8.2 11.3 7.2 10.6 13.1 7.6 6.4 6.6 7.9 15.5 7.2 7.3 2000 9.3 12.4 6.8 11.6 13.0 10.7 5.7 5.8 6.7 15.4 9.3 10.0 6.8 7.7 8.6 7.1 7.0 6.2 13.5 16.0 6.6 6.6 7.1 7.7 5.1 14.2 7.7 9.5 6.5 6.9 3.5 6.0 14.2 10.7 9.6 8.1 8.4 11.0 9.5 7.8 8.5 11.7 8.4 10.5 12.3 7.2 7.5 6.8 8.6 14.7 5.6 7.9 Rank 2003 (X) 6 30 10 9 16 37 45 48 (X) 19 12 36 18 25 34 42 41 5 1 33 47 35 24 49 2 23 17 28 22 50 44 4 13 14 26 21 8 20 27 29 11 40 15 7 32 46 43 31 3 39 38 2000 (X) 7 38 10 6 12 47 46 40 (X) 19 15 37 29 20 34 35 44 5 1 42 41 33 30 49 4 28 17 43 36 50 45 3 13 16 25 24 11 18 27 22 9 23 14 8 32 31 39 21 2 48 26 2003 12.7 17.1 9.7 15.4 16.0 13.4 9.8 8.1 8.7 19.9 13.1 13.4 10.9 13.8 11.3 10.6 10.1 10.8 17.4 20.3 10.5 8.2 9.4 11.4 7.8 19.9 11.7 14.2 10.8 11.5 7.7 8.4 18.6 13.5 14.0 11.7 12.1 16.1 13.9 10.9 11.3 14.1 11.1 13.8 16.3 10.6 9.7 9.0 11.0 18.5 10.5 9.7 2000 12.2 15.6 9.1 15.6 17.0 13.7 8.7 7.7 9.3 17.5 12.8 12.6 8.8 11.4 11.1 10.1 10.0 9.5 16.4 20.0 10.1 9.3 9.6 10.1 6.9 18.2 11.2 13.4 9.6 9.9 5.3 7.9 18.0 13.1 13.1 11.6 11.1 13.8 13.2 10.5 10.7 14.4 11.5 13.5 15.1 8.8 10.7 9.2 11.6 18.6 8.9 11.4 Rank 2003 (X) 6 40 10 9 18 39 48 45 (X) 20 18 30 15 26 34 38 32 5 1 36 47 43 25 49 2 22 11 32 24 50 46 3 17 13 22 21 8 14 30 26 12 28 15 7 34 40 44 29 4 36 40 2000 (X) 7 42 7 5 12 46 48 39 (X) 18 19 44 23 26 31 34 38 6 1 31 39 36 31 49 3 25 14 36 35 50 47 4 16 16 20 26 11 15 30 28 10 22 13 9 44 28 41 20 2 43 23 Individuals Percent below poverty in the past 12 months Families Individuals



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



X Not applicable. Note: When states share the same rank, the next lower rank is omitted. States may share the same value but have different ranks due to rounding. Survey, Census, or Data Collection Method: Based on the American Community Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site . Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Economic Characteristics, accessed 24 June 2005. See Internet site .



E–6



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table E-6. State Rankings — Value and Gross Rent of Specified Owner- and Renter-



Occupied Units, Homeownership Rates, Vacancy Rates, and Housing Prices

Median value of specified owneroccupied units in constant (2003) dollars1 Geographic area Rank Median gross rent of specified renteroccupied units in constant (2003) dollars2 Rank Rate (percent) 69.0 78.0 67.2 68.7 69.1 59.7 71.1 71.7 77.3 45.6 72.2 70.9 60.6 73.7 72.7 75.8 73.2 69.9 73.3 70.6 74.7 72.1 63.8 77.1 76.4 74.0 72.4 72.4 71.2 65.7 73.3 68.8 71.5 54.8 69.8 70.0 73.1 71.1 69.0 74.9 61.5 76.2 68.5 71.6 65.5 74.9 72.0 73.4 66.0 80.3 73.3 72.8 Homeownership rate, 20043 Vacancy rates, 2004 Housing prices of single-family homes, 20044



Rental5 Rate (percent) 10.2 14.8 7.0 11.3 13.5 5.4 12.7 8.4 11.0 11.3 11.7 16.3 7.7 9.8 14.8 12.9 9.4 13.6 11.3 7.3 6.8 8.2 6.5 13.0 9.1 12.5 10.3 9.7 9.5 10.6 4.8 6.2 8.1 6.1 13.3 10.4 13.0 13.9 11.8 11.7 6.1 14.7 11.2 10.0 13.9 8.9 4.7 11.4 9.6 10.0 9.1 5.6



Homeowner6 Rate (percent) 1.7 2.5 1.8 1.6 2.3 0.9 2.8 0.9 1.4 2.4 1.7 2.2 1.3 1.4 1.7 2.5 2.4 2.8 2.1 1.3 0.8 1.8 0.7 2.2 1.1 1.4 3.1 1.7 1.5 3.2 0.9 0.7 1.6 1.3 2.5 1.5 2.1 2.7 1.7 1.4 0.6 1.9 1.6 2.4 2.2 1.9 0.8 1.0 1.3 1.5 1.5 1.2



2003 ($1,000) United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 96 174 146 84 334 210 226 166 248 145 141 325 118 161 107 91 100 104 99 135 186 310 141 170 85 109 119 101 170 208 246 119 199 125 82 119 86 171 110 205 121 97 110 99 157 138 162 200 86 132 116



2000 ($1,000) 129 92 155 130 78 230 180 179 143 178 115 121 307 112 139 101 85 90 94 90 110 157 206 125 132 81 97 106 92 150 148 185 113 161 115 79 110 79 160 101 147 111 88 103 89 154 123 135 181 78 117 105



2003 (X) 44 12 20 49 1 6 5 16 (X) 21 23 2 32 18 37 45 40 38 41 25 11 3 22 15 48 36 30 39 14 7 4 31 10 27 50 29 47 13 34 8 28 43 35 42 19 24 17 9 46 26 33



2000 (X) 40 11 20 49 2 6 7 16 (X) 26 23 1 28 17 35 45 42 38 41 31 10 3 21 19 46 37 32 39 13 14 4 27 8 25 47 30 48 9 36 15 29 44 34 43 12 22 18 5 50 24 33



2003 679 498 780 662 513 890 754 766 718 721 724 687 863 565 699 581 531 535 491 525 562 817 820 608 657 525 556 506 540 771 780 856 523 770 601 456 575 519 657 602 686 586 490 548 639 632 624 751 734 432 595 494



2000 649 472 734 675 500 815 727 734 694 677 699 676 876 510 660 556 507 534 478 516 523 734 763 584 612 486 523 478 525 744 703 813 511 728 592 463 543 493 659 551 594 576 456 551 616 639 578 692 697 431 574 476



2003 (X) 45 6 19 43 1 11 10 15 (X) 14 17 2 32 16 30 38 37 47 39 33 5 4 25 20 39 34 44 36 8 6 3 41 9 27 49 31 42 20 26 18 29 48 35 22 23 24 12 13 50 28 46



2000 (X) 47 6 17 41 2 10 6 14 (X) 12 16 1 39 18 29 40 33 44 37 35 6 4 25 22 43 35 44 34 5 11 3 38 9 24 48 32 42 19 30 23 27 49 30 21 20 26 15 13 50 28 46



Rank (X) 2 42 40 37 49 30 26 3 (X) 23 32 48 12 20 7 17 35 14 33 10 24 46 4 5 11 21 21 29 44 14 39 28 50 36 34 18 30 38 8 47 6 41 27 45 8 25 13 43 1 14 19



Rank (X) 2 41 19 8 48 13 36 22 (X) 16 1 39 28 2 12 32 7 19 40 42 37 43 10 33 14 25 29 31 23 49 44 38 45 9 24 10 5 15 16 45 4 21 26 5 35 50 18 30 26 33 47



Rank (X) 6 19 25 11 43 3 43 32 (X) 21 12 36 32 21 6 9 3 15 36 46 19 48 12 41 32 2 21 28 1 43 48 25 36 6 28 15 5 21 32 50 17 25 9 12 17 46 42 36 28 28 40



Number ($1,000) 211.7 139.9 179.5 169.0 125.0 399.9 234.0 289.0 270.0 370.0 185.0 177.5 344.0 150.0 227.0 120.0 108.0 147.0 144.6 145.4 185.0 290.0 340.0 156.0 218.0 131.9 139.9 164.0 141.9 252.0 255.0 310.0 126.2 243.0 173.5 139.9 180.0 122.5 205.0 190.0 265.0 159.2 147.0 151.2 138.5 183.4 130.0 289.0 232.5 164.9 169.9 149.0



Rank (X) 40 23 27 47 1 13 6 8 (X) 19 24 2 33 15 49 50 36 38 37 19 5 3 31 16 44 40 29 39 11 10 4 46 12 25 40 22 48 17 18 9 30 35 32 43 21 45 6 14 28 26 34



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



X Not applicable.

1 2 3



Specified owner-occupied units are owner-occupied, one-family, attached and detached houses on less than 10 acres without a business or medical office on the property. Specified renter-occupied units include all renter-occupied units except 1-unit attached or detached houses on 10 acres or more. Proportion of owner households to occupied households. 4 Median price of single-family nonfarm homes. 5 Proportion of the rental inventory that is vacant for rent. 6 Proportion of the homeowner inventory that is vacant for sale. Note: When states share the same rank, the next lower rank is omitted. States may share the same value but have different ranks due to rounding. Survey, Census, or Data Collection Method: Specified owner- and renter-occupied units—Based on the American Community Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Homeownership and vacancy rates—Based on the Current Population Survey/Housing Vacancy Survey (CPS/HVS); for information, see Appendix B, Limitations of the Data and Methodology, and Internet site ; Housing prices—Based on the Finance Board Monthly Interest Rate Survey (MIRS); for information, see Internet site . Source: Specified owner- and renter-occupied units—U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Housing Characteristics, accessed 24 June 2005. See Internet site ; Homeownership and vacancy rates—U.S. Census Bureau, ‘‘Housing Vacancies and Home Ownership Annual Statistics: 2004,’’ Internet site (accessed 31 Mar 2005); Housing prices—Federal Housing Finance Board, ‘‘Monthly Interest Rate Survey’’; see Internet site .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–7



Table E-7. State Rankings — Cost of Living Indicators—Utilities, Gasoline, and Tax Rates

Regular gasoline prices1 Geographic area 2004 (dollars per gallon) United States . . . Alabama Alaska . . Arizona . Arkansas California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.40 1.36 1.69 1.55 1.34 1.62 1.41 1.45 1.41 (D) 1.37 1.36 1.75 1.45 1.41 1.37 1.34 1.35 1.39 1.34 1.46 1.40 1.44 1.40 1.42 1.37 1.35 1.40 1.35 1.61 1.45 1.45 1.43 1.43 1.34 1.45 1.37 1.32 1.51 1.36 1.40 1.36 1.41 1.34 1.33 1.40 1.49 1.36 1.47 1.41 1.42 1.43 2004 (dollars per gallon) 1.55 (NA) 1.52 (NA) (NA) (NA) (NA) 1.52 1.57 (NA) (NA) (NA) (NA) 1.50 1.41 1.54 (NA) (NA) (NA) (NA) 1.51 1.63 1.56 1.54 1.43 (NA) (NA) (NA) (NA) (NA) 1.50 1.66 (NA) 1.63 (NA) (NA) 1.48 (NA) 1.59 1.49 1.51 (NA) (NA) (NA) (NA) (NA) 1.51 1.46 1.75 1.49 1.47 (NA) Residential utility prices No. 2 heating oil1 Natural gas 2004 (dollars per 1,000 cubic feet) 10.74 13.41 4.88 12.11 11.71 9.93 8.40 14.04 12.16 14.31 18.47 13.75 27.15 9.06 9.43 10.02 (NA) 10.76 11.02 11.21 14.04 12.40 (NA) 8.47 9.56 (NA) 11.04 9.27 9.02 10.05 13.20 11.59 9.50 12.42 12.65 9.03 10.45 10.24 11.10 12.26 13.24 12.46 9.52 10.39 (NA) 8.12 11.03 13.38 (NA) 10.87 10.13 8.56 Electric energy 2004 (dollars per 1,000 kilowatthours) 89.4 75.5 123.9 84.7 74.4 117.8 83.2 116.4 88.0 81.4 89.5 79.4 180.6 60.8 85.1 73.2 90.6 78.2 60.8 80.9 126.3 80.0 118.5 85.5 80.6 81.7 70.6 78.4 69.1 97.0 125.1 112.4 87.8 145.8 84.4 67.7 84.7 76.7 71.2 96.6 121.9 80.5 76.4 68.8 96.0 72.4 130.7 79.9 63.6 62.3 91.0 71.0 State individual income tax collections per capita2 State tax rates3 General sales tax Gasoline



Rank (X) 40 2 5 47 3 24 11 22 (X) 33 36 1 12 23 35 47 43 31 46 9 28 15 27 19 32 42 28 41 4 14 12 18 16 45 10 34 50 6 37 26 39 21 44 49 30 7 38 8 24 20 16



Rank (X) (X) 10 (X) (X) (X) (X) 11 6 (X) (X) (X) (X) 16 23 9 (X) (X) (X) (X) 12 3 7 8 22 (X) (X) (X) (X) (X) 15 2 (X) 4 (X) (X) 19 (X) 5 18 12 (X) (X) (X) (X) (X) 14 21 1 17 20 (X)



Rank (X) 6 45 16 17 32 43 3 15 (X) 2 5 1 38 36 31 (X) 25 23 19 3 13 (X) 42 33 (X) 21 37 40 30 9 18 35 12 10 39 26 28 20 14 8 11 34 27 (X) 44 22 7 (X) 24 29 41



Rank (X) 37 6 22 38 9 25 10 18 (X) 17 32 1 49 21 39 16 34 49 27 4 30 8 20 28 26 43 33 44 12 5 11 19 2 24 46 22 35 41 13 7 29 36 45 14 40 3 31 47 48 15 42



2004 (dollars) 674 495 (X) 403 612 1,014 742 1,233 941 (X) (X) 774 926 652 640 610 663 700 680 484 881 950 1,376 650 1,119 366 647 653 711 (X) 42 851 529 1,282 849 338 760 658 1,188 590 833 581 (X) 25 (X) 708 692 995 (X) 589 917 (X)



Rank (X) 37 (X) 39 31 6 18 3 9 (X) (X) 16 10 27 30 32 24 21 23 38 12 8 1 28 5 40 29 26 19 (X) 42 13 36 2 14 41 17 25 4 33 15 35 (X) 43 (X) 20 22 7 (X) 34 11 (X)



2005 (cents per dollar) (X) 4.000 (X) 5.600 6.000 6, 7 7.250 2.900 6.000 (X) 5.750 6.000 4.000 4.000 6.000 6 6.250 6.000 5.000 5.300 6.000 4.000 5.000 5.000 5.000 6.000 6.500 7.000 4.225 (X) 5.500 6.500 (X) 6.000 5.000 4.250 11 4.500 5.000 6.000 4.500 (X) 6.000 7.000 5.000 4.000 7.000 6.250 4.750 6.000 5.000 6.500 6.000 5.000 6 4.000

7



Rank (X) 39 (X) 22 10 1 45 10 (X) (X) 10 39 39 10 8 10 25 24 10 39 25 25 25 10 5 2 38 (X) 23 5 (X) 10 25 37 35 25 10 35 (X) 10 2 25 39 2 8 34 10 25 5 10 25 39



2005 (cents per gallon) (X)

4



Rank (X) 36 49 36 22 36 20 11 18 (X) 46 50 44 11 27 36 26 14 41 28 10 16 24 33 28 35 42 5 8 18 32 46 34 17 7 24 9 43 14 2 1 44 20 23 28 13 28 40 4 5 3 48



18.00 8.00 5 18.00 21.50 18.00 22.00 25.00 23.00 22.50 8 14.50 7.50 16.00 25.00 4, 5 20.10 5 18.00

4



Colorado . . . . . . . Connecticut . . . . . Delaware . . . . . . . District of Columbia Florida . . . . . . . . . Georgia Hawaii . Idaho. . Illinois . Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Iowa . . . . Kansas . . Kentucky . Louisiana . Maine . . .



5, 9



20.50 24.00 17.40 20.00 10 25.20 23.50 21.00 19.00 20.00 18.40 17.03 27.00 26.30 4 23.00 19.50 14.50 18.90 23.20 9 26.85 21.00 26.00 17.00 24.00 30.00 31.00



Maryland . . . . Massachusetts Michigan . . . . Minnesota . . . Mississippi . . .



Missouri . . . . . . Montana . . . . . Nebraska . . . . . Nevada . . . . . . New Hampshire. New Jersey . . New Mexico . . New York . . . . North Carolina. North Dakota . Ohio . . . . . . Oklahoma . . Oregon . . . . Pennsylvania Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . .



10



4



South Carolina South Dakota . Tennessee . . . Texas . . . . . . Utah . . . . . . . Vermont . . . . Virginia . . . . Washington . West Virginia Wisconsin. . . Wyoming . . . . . . . . .



4 4



16.00 22.00 21.40 20.00 24.50



4, 12



20.00 17.50 28.00 27.00 10 29.10 14.00



D Data withheld to avoid disclosure of individual company data.

1



NA Not available.



X Not applicable.



Excludes federal and state taxes. Prices for No. 2 heating oil include sales of No. 2 fuel oil and high- and low-sulfur diesel fuels. 2 Population estimated as of July 1. 3 As of January 1 of the year shown. 4 Does not include local option taxes. 5 Carriers pay an additional surcharge equal to: Arizona, 8 cents; Illinois, 6.3 cents; Indiana, 11 cents; Kentucky, 2 percent; New York, 22.21 cents. 6 Tax rate may be adjusted annually according to a formula based on balances in the unappropriated general fund and the school foundation fund. 7 Includes statewide local tax of 1.25 percent in California and 1.0 percent in Virginia. 8 Local taxes for gasoline vary from 9.7 cents to 17.7 cents in 2005, plus a 2.07 cents per gallon pollution tax. 9 Tax rate is based on the average wholesale price and is adjusted quarterly. 10 A portion of the rate is adjustable based on maintenance costs, sales volume, or cost of fuel to state government. 11 Tax rate scheduled to decrease to 4.0 after June 30, 2005. 12 Large trucks pay a higher tax: Vermont, total of 25 cents/gallon; Virginia, additional 3.5 cents. Note: When states share the same rank, the next lower rank is omitted. States may share the same value but have different ranks due to rounding. Survey, Census, or Data Collection Method: Gasoline, heating oil, and natural gas prices—Based on the Oil and Gas Information Retrieval System; for information, see Internet site ; Electric energy prices—Based on Form EIA-861, ‘‘Annual Electric Power Industry Report’’; for information, see Internet site ; State individual income tax—Based on the Annual Survey of State Government Tax Collection; for information, see Internet site ; State tax rates—For information, see Internet site . Sources: Gasoline prices—U.S. Energy Information Administration, Petroleum Marketing Annual 2004; see also Internet site ; Utility prices—U.S. Energy Information Administration, ‘‘Petroleum Product Prices’’ and ‘‘Natural Gas Prices’’; see Internet site (accessed 12 September 2005); and Electric Power Monthly, March 2005; see also Internet site ; State individual income tax—U.S. Census Bureau, ‘‘State Government Tax Collections’’; see Internet site ; State tax rates—Federation of Tax Administrators, 2005; see Internet site .



E–8



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table E-8. State Rankings — Population by Residence

Item Unit United States State Value State Value State Value State Value State Value



Top 5 Total population, 2004 . . . . . . . . . . . . 1,000 . . . 293,655 California Metropolitan and micropolitan area population, 2004 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,000 . . Percent of total . . . . . . . . . . . . . . . . . . Percent . Nonmetropolitan area population, 20041. . . . . . 1,000 . . Percent of total . . . . . . . . . . . . . . . . . . Percent . Urban population, 2000. . . . . . . . . . . . . . . . . 1,000 . . . 274,114 California . 93.3 Connecticut . 19,542 Texas . 6.7 Montana . 222,361 California 79.0 California



35,894 Texas 35,637 100.0 1,411 35.4 31,990 Texas Delaware Kentucky North Dakota Texas



22,490 New York 21,079 100.0 1,016 31.2 17,204 New York New Jersey Iowa Maine New York



19,227 Florida 18,794 100.0 822 29.6 16,603 Florida Rhode Island Virginia South Dakota Florida



17,397 Illinois 17,013 100.0 821 28.9 14,270 Illinois Hawaii Georgia Wyoming Illinois Massachu91.5 setts



12,714 12,096 100.0 812 28.4 10,910 91.4



Percent of total . . . . . . . . . . . . . . . . . . Percent . . Bottom 5 Total population, 2004 . . . . . . . . . . . Metropolitan and micropolitan area population, 2004 . . . . . . . . . . . . . . . . . . . . . . . . . . . Percent of total . . . . . . . . . . . . . . . . . Nonmetropolitan area population, 20041. . . . . Percent of total . . . . . . . . . . . . . . . . . Urban population, 2000. . . . . . . . . . . . . . . . Percent of total . . . . . . . . . . . . . . . . . – Represents zero.

1



94.4 New Jersey



94.4 Nevada



91.5 Hawaii



. 1,000 . . . 293,655 Wyoming . 1,000 . . . 274,114 Wyoming . Percent . . 93.3 Montana . . . . 1,000 . . Percent . 1,000 . . Percent . . 19,542 Connecticut . 6.7 Connecticut . 222,361 Vermont . 79.0 Vermont



507 Vermont 362 North Dakota 64.6 North Dakota – – 232 38.2 Delaware Delaware Wyoming Maine



621 North Dakota 437 Vermont 68.8 Maine – – 321 40.2 New Jersey New Jersey North Dakota West Virginia



634 Alaska 458 Alaska 70.4 South Dakota – – 359 46.1 Rhode Island Rhode Island South Dakota Mississippi



655 South Dakota 489 South Dakota 71.1 Wyoming – – 391 48.8 Hawaii Hawaii Alaska South Dakota



771 548 71.6 (Z) (Z) 411 51.9



Z Less than 500 or .05%.



Represents the area outside of metropolitan and micropolitan areas.



Note: If two or more states share the same rank, they are listed alphabetically. When six or more states make up the top 5 or bottom 5 listing due to shared ranks, only five states are listed alphabetically within the table and the remaining states are listed in the corresponding footnote. Survey, Census, or Data Collection Method: Based on the Census of Population and Housing; for information, see Appendix B, Limitations of the Data and Methodology, and Internet sites and . Sources: Total, metropolitan, micropolitan, and nonmetropolitan area population—U.S. Census Bureau, ‘‘Annual Estimates of the Population for Counties: April 1, 2000 to July 1, 2004’’ (COEST2004-01), published 14 April 2005; Internet site ; Urban population—U.S. Census Bureau, 2000 Census of Population and Housing, Population and Housing Unit Counts PHC-3, see Internet site .



Table E-9. State Rankings — Population by Race and Hispanic Origin—Percent of Total:



2004

Race or Hispanic origin Unit United States State Value State Value State Value State Value State Value



Top 5 White alone. . . . . . . . . . . . . . . . . . . . . . . Black or African American alone . . . . . . . . . American Indian, Alaska Native alone . . . . . Asian alone . . . . . . . . . . . . . . . . . . . . . . . Native Hawaiian, Other Pacific Islander alone Two or more races . . . . . . . . . . . . . . . . . . Hispanic or Latino origin . . . . . . . . . . . . . . Non-Hispanic White alone . . . . . . . . . . . . . Bottom 5 White alone. . . . . . . . . . . . . . . . . . . . . . . Black or African American alone . . . . . . . . . American Indian, Alaska Native alone . . . . . Asian alone . . . . . . . . . . . . . . . . . . . . . . . Native Hawaiian, Other Pacific Islander alone Two or more races . . . . . . . . . . . . . . . . . . Hispanic or Latino origin . . . . . . . . . . . . . . Non-Hispanic White alone . . . . . . . . . . . . . Z Less than .05%.



. . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . .



Percent Percent Percent Percent Percent Percent Percent Percent Percent Percent Percent Percent Percent Percent Percent Percent



. . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . .



80.4 12.8 1.0 4.2 0.2 1.5 14.1 67.4 80.4 12.8 1.0 4.2 0.2 1.5 14.1 67.4



Maine Mississippi Alaska Hawaii Hawaii Hawaii New Mexico Maine Hawaii Montana Pennsylvania Montana West Virginia Mississippi West Virginia Hawaii



96.9 36.8 15.8 41.8 9.1 20.1 43.3 96.1 26.5 0.4 0.2 0.5 (Z) 0.6 0.8 23.3



Vermont Louisiana New Mexico California Utah Alaska California Vermont Mississippi Idaho West Virginia West Virginia Vermont Louisiana Maine New Mexico



96.9 33.0 10.1 12.1 0.7 4.7 34.7 96.0 61.3 0.6 0.2 0.6 (Z) 0.8 0.9 43.5



New Hampshire Georgia South Dakota New Jersey Alaska Oklahoma Texas West Virginia Louisiana Vermont Kentucky Wyoming Mississippi West Virginia Vermont California



96.2 29.6 8.6 7.0 0.6 4.0 34.6 94.4 64.1 0.6 0.2 0.6 (Z) 0.8 1.0 44.5



Idaho South Carolina Oklahoma New York Nevada Washington Arizona New Hampshire Maryland North Dakota Ohio North Dakota Ohio South Carolina North Dakota Texas



95.5 29.4 8.1 6.5 0.5 2.9 28.0 94.3 64.5 0.7 0.2 0.7 (Z) 0.8 1.5 49.8



West Virginia Maryland Montana Washington Washington Nevada Nevada Iowa Georgia Maine New Hampshire South Dakota Maine Alabama Mississippi Maryland



95.2 29.1 6.4 6.3 0.5 2.5 22.8 91.7 66.4 0.7 0.2 0.7 (Z) 0.9 1.7 59.8



Note: If two or more states share the same rank, they are listed alphabetically. When six or more states make up the top 5 or bottom 5 listing due to shared ranks, only five states are listed alphabetically within the table and the remaining states are listed in the corresponding footnote. Survey, Census, or Data Collection Method: Based on the Census of Population and Housing; for information, see Appendix B, Limitations of the Data and Methodology, and Internet sites and . Sources: U.S. Census Bureau, ‘‘State Population Estimates with Sex, 6 Race Groups (5 Race Alone Groups and One Group with Two or More Race Groups) and Hispanic Origin: April 1, 2000 to July 1, 2004’’ (SC-EST2004-6RACE), published 11 August 2005; ; ‘‘Table 4: Annual Estimates of the Population by Race Alone and Hispanic or Latino Origin for the United States and States: July 1, 2004’’ (SC-EST2004-04), published 11 August 2005; .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–9



Table E-10. State Rankings — Persons With and Without Health Insurance Coverage: 2003

Insurance item Unit United States State Value State Value State Value State Value State Value



Top 5 Persons Persons covered . . . Persons not covered Percent not covered . Children Children not covered Percent not covered .



. . . . . . . . . 1,000 . . . . . . . . . . . . . 1,000 . . . . . . . . . . . . . Percent . . . . . . . . . . . 1,000 . . . . . . . . . . . . . Percent . .



243,320 California 44,961 California 15.6 Texas 8,373 Texas 11.4 Texas



28,895 Texas 6,499 Texas 24.6 New Mexico 1,264 California 20.0 Oklahoma



16,484 New York 5,374 Florida 22.1 Louisiana 1,196 Florida 17.9 Montana



16,104 Florida 3,071 New York 20.6 Oklahoma 616 New York 17.7 Nevada



13,849 Illinois 2,866 Illinois 20.4 Montana 432 Illinois 17.4 Florida



10,810 1,818 19.4 320 15.5



Bottom 5 Persons Persons covered . . . . Persons not covered . Percent not covered . . Children Children not covered . Percent not covered . .



. . . . . . . . 1,000 . . . . . . . . . . . . 1,000 . . . . . . . . . . . . Percent . . . . . . . . . . 1,000 . . . . . . . . . . . . Percent . .



243,320 Wyoming 44,961 Vermont 15.6 Minnesota 8,373 Vermont 11.4 Vermont



411 Alaska 58 North Dakota 8.7 Vermont 5 North Dakota 3.9 Rhode Island



523 Vermont 69 Wyoming 9.5 Hawaii 11 Rhode Island 5.2 New Hampshire



553 North Dakota 78 South Dakota 10.1 Rhode Island 13 Wyoming 5.5 Michigan



563 South Dakota 91 Delaware 10.2 New Hampshire 15 South Dakota 5.8 Maine



659 91 10.3 16 6.0



Note: If two or more states share the same rank, they are listed alphabetically. When six or more states make up the top 5 or bottom 5 listing due to shared ranks, only five states are listed alphabetically within the table and the remaining states are listed in the corresponding footnote. Survey, Census, or Data Collection Method: Based on the Annual Social and Economic Supplement to the Current Population Survey; for information, see Internet site . Source: U.S. Census Bureau, Current Population Reports, annual, and unpublished data.



Table E-11. State Rankings — Health Conditions and Chronic Disease-Related



Characteristics and Diabetes: 2001

Item Unit United States1 State Value State Value State Value State Value State Value



Top 5 High blood pressure . . . . . . . . . . . . . . . . . . . . . High blood cholesterol . . . . . . . . . . . . . . . . . . . Cigarette smoking2. . . . . . . . . . . . . . . . . . . . . . Heavy drinking3 . . . . . . . . . . . . . . . . . . . . . . . . Above healthy weight4 . . . . . . . . . . . . . . . . . . . Obesity5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Diagnosed diabetes . . . . . . . . . . . . . . . . . . . . . No leisure time physical activity in the past month . Bottom 5 High blood pressure . . . . . . . . . . . . . . . . . . . . . High blood cholesterol . . . . . . . . . . . . . . . . . . . Cigarette smoking2. . . . . . . . . . . . . . . . . . . . . . Heavy drinking3 . . . . . . . . . . . . . . . . . . . . . . . . Above healthy weight4 . . . . . . . . . . . . . . . . . . . Obesity5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Diagnosed diabetes . . . . . . . . . . . . . . . . . . . . . No leisure time physical activity in the past month .

1 2 3



. . . . . . . . . . . . . . . .



Percent . Percent . Percent . Percent . Percent . Percent . Percent . Percent . Percent . Percent . Percent . Percent . Percent . Percent . Percent . Percent .



. . . . . . . . . . . . . . . .



25.6 30.2 23.2 5.1 58.9 21.4 6.5 25.4 25.6 30.2 23.2 5.1 58.9 21.4 6.5 25.4



West Virginia West Virginia Kentucky Wisconsin Mississippi Mississippi Alabama Louisiana New Mexico New Mexico Utah Tennessee Hawaii Colorado Alaska Utah



32.5 37.7 30.9 8.7 63.8 27.1 9.6 35.6 20.0 24.8 13.2 2.5 51.4 15.5 4.0 16.5



Alabama Nevada Oklahoma Nevada Alaska Michigan Mississippi Tennessee Vermont Hawaii California Kentucky Colorado Massachusetts Utah Minnesota11



31.6 36.5 28.7 7.8 63.3 25.8 9.3 35.1 21.4 25.1 17.2 2.7 51.7 17.1 4.3 17.1



Mississippi Michigan West Virginia Rhode Island West Virginia West Virginia West Virginia Kentucky7 Colorado Louisiana Massachusetts West Virginia Vermont Rhode Island10 Minnesota Washington11



31.3 33.6 28.2 7.5 63.0 25.3 8.8 33.4 21.6 27.6 19.5 3.0 52.1 18.1 4.4 17.1



Kentucky Tennessee Ohio Delaware Kentucky Texas Florida Mississippi7 Alaska Nebraska9 Idaho Utah Massachusetts Vermont10 Wyoming Hawaii



30.1 33.2 27.6 7.1 62.1 25.2 8.2 33.4 21.8 27.8 19.6 3.1 54.4 18.1 4.5 18.9



Arkansas Rhode Island Indiana Massachusetts Alabama6 Indiana South Carolina Oklahoma Minnesota South Carolina Nebraska Oklahoma Utah Connecticut Colorado Colorado



29.7 33.1 27.4 7.0 61.6 25.1 8.1 32.8 22.3 27.8 20.2 3.5 54.8 18.2 4.6 19.2



Represents median value among the states and DC. Has smoked 100 cigarettes or more and currently smokes. Having consumed an average of more than 2 drinks for males and more than 1 drink for females per day in the past month. 4 Overweight is defined as having a body mass index greater than or equal to 25.0 and less than or equal to 99.8 kg/m2. 5 In adults age 20 years and over. Obesity is defined as having a body mass index greater than or equal to 30.0 and less than or equal to 99.8 kg/m2. 6 Alabama and Oklahoma share the same rank. 7 Kentucky and Mississippi share the same rank. 8 Minnesota and Utah share the same rank. 9 Nebraska and South Carolina share the same rank. 10 Rhode Island and Vermont share the same rank. 11 Minnesota and Washington share the same rank. Note: If two or more states share the same rank, they are listed alphabetically. When six or more states make up the top 5 or bottom 5 listing due to shared ranks, only five states are listed alphabetically within the table and the remaining states are listed in the corresponding footnote. Survey, Census, or Data Collection Method: Based on the Behavioral Risk Factor Surveillance System (BRFSS); for information, see Internet site .



Source: U.S. Centers for Disease Control and Prevention, Atlanta, GA, Morbidity and Mortality Weekly Report, Supplemental Summaries Vol. 52, No. SS-8, August 22, 2003; see Internet site .



E–10



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table E-12. State Rankings — Social Insurance, Human Services, Medicare, Medicaid, and



State Children’s Health Insurance Program: 2003

Item Unit United States State Value State Value State Value State Value State Value



Top 5 Social security benefits Beneficiaries (Dec. 31) Total . . . . . . . . . . . . . . . . . . . . . . . . . Retired workers and dependents1 . . . . . . Payments2 Total . . . . . . . . . . . . . . . . . . . . . . . . . Retired workers and dependents1 . . . . . . Federal food stamp program Participants (Sept. 30) . . . . . . . . . . . . . . . . . Federal cost3 . . . . . . . . . . . . . . . . . . . . . . . National school lunch program Participants . . . . . . . . . . . . . . . . . . . . . . . . Federal cost4 . . . . . . . . . . . . . . . . . . . . . . . Supplemental security income (SSI)5 Recipients (Dec.) . . . . . . . . . . . . . . . . . . . . Annual payments . . . . . . . . . . . . . . . . . . . . Temporary Assistance for Needy Families (TANF)6 Recipients (Dec.) . . . . . . . . . . . . . . . . . . . . Annual payments7 . . . . . . . . . . . . . . . . . . . . State unemployment insurance8 Beneficiaries, first payments . . . . . . . . . . . . . Benefits paid . . . . . . . . . . . . . . . . . . . . . . . Medicare enrollment . . . . . . . . . . . . . . . . . . . . . . Medicaid9 Enrollment10 . . . . . . . . . . . . . . . . . . . . . . . . Payments11 . . . . . . . . . . . . . . . . . . . . . . . . State Children’s Health Insurance Program (SCHIP) Enrollment12 . . . . . . . . . . . . . . . . . . . . . . . . Expenditures13 . . . . . . . . . . . . . . . . . . . . . . Bottom 5 Social security benefits Beneficiaries (Dec. 31) Total . . . . . . . . . . . . . . . . . . . . . . . . . Retired workers and dependents1 . . . . . . Payments2 Total . . . . . . . . . . . . . . . . . . . . . . . . . Retired workers and dependents1 . . . . . . Federal food stamp program Participants (Sept. 30) . . . . . . . . . . . . . . . . . Federal cost3 . . . . . . . . . . . . . . . . . . . . . . . National school lunch program Participants . . . . . . . . . . . . . . . . . . . . . . . . Federal cost4 . . . . . . . . . . . . . . . . . . . . . . . Supplemental security income (SSI)5 Recipients (Dec.) . . . . . . . . . . . . . . . . . . . . Annual payments . . . . . . . . . . . . . . . . . . . . Temporary Assistance for Needy Families (TANF)6 Recipients (Dec.) . . . . . . . . . . . . . . . . . . . . Annual payments7 . . . . . . . . . . . . . . . . . . . . State unemployment insurance8 Beneficiaries, first payments . . . . . . . . . . . . . Benefits paid . . . . . . . . . . . . . . . . . . . . . . . Medicare enrollment . . . . . . . . . . . . . . . . . . . . . . Medicaid9 Enrollment10 . . . . . . . . . . . . . . . . . . . . . . . . Payments11 . . . . . . . . . . . . . . . . . . . . . . . . State Children’s Health Insurance Program (SCHIP) Enrollment12 . . . . . . . . . . . . . . . . . . . . . . . . Expenditures13 . . . . . . . . . . . . . . . . . . . . . . Z Less than $50,000.



1,000. . 1,000. . mil. dol.. mil. dol.. 1,000. . mil. dol.. 1,000. . mil. dol.. 1,000. . mil. dol.. 1,000. . mil. dol.. 1,000. . mil. dol.. 1,000. . 1,000. . mil. dol.. 1,000. . mil. dol..



45,312 California 31,652 California 463,006 California 309,918 California 21,222 Texas 21,332 Texas 27,928 California 7,051 California 6,902 California 34,696 California 4,867 California 26,340 California 9,827 California 41,117 California 40,173 California 49,755 California 213,491 New York 5,985 California 4,276.4 California



4,304 Florida 3,110 Florida 43,857 Florida 30,115 Florida 1,872 California 1,881 California 2,732 Texas 949 Texas 1,163 New York 7,573 New York 1,107 New York 5,851 New York 1,380 New York 6,115 New York 4,078 Florida 9,301 New York 31,489 California 955 New York 565.0 Texas



3,278 New York 2,433 New York 33,305 New York 23,685 New York 1,709 New York 1,806 New York 2,672 New York 774 New York 625 Texas 3,400 Florida 336 Texas 4,463 Michigan 599 Pennsylvania 3,124 Pennsylvania 2,921 New York 3,921 Texas 23,636 Texas 897 Texas 405.6 Florida



3,024 Texas 2,156 Texas 32,187 Texas 22,188 Texas 1,436 Florida 1,677 Illinois 1,788 Florida 489 Florida 455 Florida 1,908 Texas 318 Pennsylvania 1,205 Pennsylvania 566 Texas 2,678 Illinois 2,763 Texas 2,953 Florida 11,121 Florida 726 Florida 357.7 New York



2,731 Pennsylvania 1,865 Pennsylvania 27,068 Pennsylvania 17,506 Pennsylvania 1,041 Illinois 1,053 Florida 1,398 Georgia 411 Illinois 409 Pennsylvania 1,901 Pennsylvania 214 Michigan 1,109 Ohio 533 Michigan 2,455 Texas 2,390 Pennsylvania 2,676 Tennessee 9,827 Ohio 443 Georgia 352.2 New Jersey



2,377 1,703 24,919 16,941 954 988 1,130 288 311 1,599 206 1,007 502 2,204 2,110 1,732 9,186 252 262.6



1,000. . 1,000. . mil. dol.. mil. dol.. 1,000. . mil. dol.. 1,000. . mil. dol.. 1,000. . mil. dol.. 1,000. . mil. dol.. 1,000. . mil. dol.. 1,000. . 1,000. . mil. dol.. 1,000. . mil. dol..



45,312 Alaska 31,652 Alaska 463,006 Alaska 309,918 Alaska 21,222 Wyoming 21,332 Wyoming 27,928 Wyoming 7,051 Wyoming 6,902 Wyoming 34,696 Wyoming 4,867 Wyoming 26,340 South Dakota 9,827 South Dakota 41,117 South Dakota 40,173 Alaska 49,755 Wyoming 213,491 Wyoming 5,985 Minnesota 4,276.4 Minnesota



59 Wyoming 38 Wyoming 574 Wyoming 364 Wyoming 25 North Dakota 24 North Dakota 49 Alaska 10 Vermont 6 North Dakota 25 North Dakota 1 Idaho 26 North Dakota 12 North Dakota16 33 North Dakota 48 Wyoming 59 North Dakota 280 North Dakota 4 North Dakota (Z) Vermont



79 Vermont 58 Vermont 809 Vermont 566 North Dakota 40 Vermont 37 Vermont 53 Vermont 10 North Dakota 8 Alaska 32 Alaska 3 South Dakota 42 Idaho 16 Wyoming16 47 Wyoming 69 Vermont 70 Montana 423 South Dakota 5 Wyoming 3.1 Wyoming



107 North Dakota 74 North Dakota 1,066 North Dakota 719 Vermont 41 New Hampshire 38 New Hampshire 54 Delaware 13 Delaware 11 Delaware14 47 South Dakota 6 North Dakota 43 Arkansas 16 New Hampshire 49 Montana 93 North Dakota 104 New Hampshire 504 Montana 5 Vermont 3.9 New Hampshire



114 South Dakota 82 South Dakota 1,082 South Dakota 723 South Dakota 45 Delaware 40 Delaware 75 North Dakota 15 New Hampshire 13 New Hampshire14 52 Vermont 9 Delaware15 54 Montana 23 Montana 81 Vermont 103 Delaware 104 Alaska 533 Vermont 7 Washington 4.4 Delaware



138 98 1,282 873 46 48 77 16 13 57 13 56 27 101 119 110 607 10 4.6



Includes special benefits for persons age 72 and over not insured under regular or transitional provisions of the Social Security Act. Unnegotiated checks not deducted. Includes benefits only and excludes administrative expenditures. 4 Includes cash payments and commodity costs. 5 Data cover federal SSI payments and/or federally administered state supplementation. 6 Prior to TANF, the cash assistance program to families was called Aid to Families with Dependent Children (1980–1996). Under the new welfare law (Personal Responsibility and Work Opportunity Reconciliation Act of 1996), the program became TANF. 7 Represents federal and state funds expended in fiscal year. 8 Includes unemployment compensation for state and local government employees where covered by state law. 9 The data presented here are for 2002 because later data were unavailable at the time of this table’s preparation. 10 Persons who had payments made on their behalf at any time during the fiscal year. 11 Payments are for fiscal year and reflect federal and state hospital share payments. Data exclude disproportionate hospital share payments. Disproportionate share hospitals receive higher Medicaid reimbursement than other hospitals because they treat a disproportionate share of Medicaid patients. 12 Number of children ever enrolled in SCHIP. 13 Expenditures for which states are entitled to federal reimbursement under Title XXI and that reconcile any advance of Title XXI federal funds made on the basis of estimates. 14 Delaware, New Hampshire, South Dakota, and Vermont share the same rank. 15 Delaware and New Hampshire share the same rank. 16 North Dakota and Wyoming share the same rank.

2 3



1



Note: If two or more states share the same rank, they are listed alphabetically. When six or more states make up the top 5 or bottom 5 listing due to shared ranks, only five states are listed alphabetically within the table and the remaining states are listed in the corresponding footnote. Survey, Census, or Data Collection Method: Social security, federal food stamp program, and national school lunch program—For information, please refer to Table A-80. unemployment insurance—For information, please refer to Table A-81. Medicare, Medicaid, and SCHIP—For information, please refer to Table A-83. SSI, TANF, and state



Sources: Social security, federal food stamp program, and national school lunch program—For source information, please refer to Table A-80. SSI, TANF, and state unemployment insurance—For source information, please refer to Table A-81. Medicare, Medicaid, and SCHIP—For source information, please refer to Table A-83.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–11



Table E-13. Metropolitan Area Rankings — Population Indicators

Area, 2000 (square miles) Metropolitan statistical area 2005 (July 1) Rank 158,291 702,235 162,842 848,879 797,940 147,965 790,535 126,795 238,664 79,952 351,049 130,412 175,514 341,847 112,141 215,143 392,831 175,085 4,917,717 271,015 123,254 520,332 1,452,529 756,825 2,655,675 147,068 226,514 733,802 139,191 109,029 383,530 183,471 141,382 146,593 248,422 1,090,126 99,346 151,057 177,709 159,013 544,201 4,411,835 280,440 110,990 240,661 902,775 378,311 98,433 1,147,711 140,533 205,230 409,996 544,758 56,062 69,799 246,412 215,742 306,435 594,899 1,521,278 188,424 492,126 85,163 9,443,356 214,185 2,070,441 243,665 108,036 2,126,318 127,668 189,735 587,500 153,283 689,878 284,299 73,540 1,708,625 413,553 239 69 231 57 61 255 63 288 180 353 138 280 224 141 313 193 125 225 9 164 296 95 38 66 19 256 188 67 271 323 126 214 267 257 173 48 339 251 221 238 88 11 161 317 178 54 129 342 47 270 198 115 87 361 358 175 192 150 81 36 212 98 351 3 194 25 176 325 23 287 209 84 247 70 158 357 32 111 2005 (July 1) Rank 57.7 776.0 84.2 301.3 85.9 75.2 541.8 241.1 65.2 139.5 13.3 288.5 244.4 481.5 184.4 224.1 193.2 169.8 587.1 483.1 202.4 158.7 343.9 93.0 1,017.9 43.3 572.0 182.1 196.3 245.6 178.1 86.5 46.8 31.3 202.6 205.8 27.9 140.4 134.5 134.3 46.2 1,258.0 378.0 130.9 607.7 1,442.1 417.6 75.7 732.4 326.8 163.0 422.2 677.6 392.0 13.1 122.7 112.2 121.0 229.6 491.1 114.3 235.6 31.7 1,309.4 130.7 470.8 112.7 141.4 1,061.0 102.5 90.1 218.9 133.2 186.4 146.8 180.7 428.9 232.5 328 20 294 103 295 309 36 136 322 225 358 109 137 46 179 147 178 194 34 45 168 206 85 288 17 339 32 186 170 130 189 291 337 350 164 163 353 226 234 237 338 9 74 246 29 6 65 307 21 93 199 59 26 72 359 258 270 259 145 47 272 139 349 8 242 48 271 223 12 284 289 155 239 182 218 188 58 141 Population Population per square mile of land area1 Population change, April 1, 2000, to July 1, 2005 Total population change2 Rank −1,950 7,275 4,976 23,004 68,287 2,930 50,141 −2,349 12,142 −29 31,444 −2,946 9,774 19,077 −102 13,421 23,659 9,006 669,699 18,463 8,162 20,683 202,776 95,172 102,681 2,149 4,284 27,835 1,206 −1,128 −1,560 16,645 26,015 7,689 −3,898 38,820 4,627 −267 2,203 8,580 79,361 19,495 10,653 6,824 8,692 20,208 43,084 5,389 −22,400 9,739 6,341 3,062 103,870 3,605 3,266 9,182 5,463 −3,200 45,927 190,859 14,403 15,625 3,556 344,741 11,014 60,784 11,621 4,021 −21,692 18,983 4,850 50,016 7,617 42,617 2,531 2,105 95,788 10,273 331 211 239 107 43 274 55 336 163 308 82 344 181 125 310 153 106 186 1 128 196 116 15 34 31 285 251 97 298 322 325 134 104 203 349 75 246 312 284 193 38 123 174 217 192 120 65 229 360 182 221 272 30 263 269 185 228 347 62 16 146 139 264 10 172 47 169 259 359 126 241 56 204 68 279 286 33 177 Percent change, 2000– 2005 Rank −1.2 1.0 3.2 2.8 9.4 2.0 6.8 −1.8 5.4 0.0 9.8 −2.2 5.9 5.9 −0.1 6.7 6.4 5.4 15.8 7.3 7.1 4.1 16.2 14.4 4.0 1.5 1.9 3.9 0.9 −1.0 −0.4 10.0 22.5 5.5 −1.5 3.7 4.9 −0.2 1.3 5.7 17.1 0.4 3.9 6.6 3.7 2.3 12.9 5.8 −1.9 7.4 3.2 0.8 23.6 6.9 4.9 3.9 2.6 −1.0 8.4 14.3 8.3 3.3 4.4 3.8 5.4 3.0 5.0 3.9 −1.0 17.5 2.6 9.3 5.2 6.6 0.9 2.9 5.9 2.5 332 284 226 238 68 260 106 343 150 309 63 350 130 129 310 109 115 146 Population change, April 1, 1990, to April 1, 2000 Total population change2 Rank 12,241 37,385 11,259 16,432 130,233 −4,047 53,707 −1,398 30,378 5,729 53,584 2,689 20,544 39,958 −3,785 26,801 61,170 30,054 256 142 264 230 43 347 103 339 159 303 104 323 205 132 346 172 92 163 2 168 170 89 18 47 37 342 146 66 328 341 180 137 130 222 357 58 267 271 215 198 40 25 85 223 122 100 74 268 360 188 193 251 52 257 306 175 290 329 124 22 162 120 284 8 203 38 121 226 117 139 153 44 181 56 239 288 29 147 Percent change, 1990– 2000 8.3 5.7 7.7 2.0 21.7 −2.7 7.8 −1.1 15.5 7.7 20.1 2.1 14.1 14.1 −3.3 15.3 19.9 22.1 38.4 12.6 32.1 14.7 47.7 21.7 7.2 −1.1 19.1 13.2 1.5 −1.4 6.6 30.5 53.9 14.3 −4.6 10.0 13.0 7.5 12.0 16.5 45.4 6.2 29.3 19.7 22.3 6.6 28.9 13.2 −1.6 20.9 12.3 3.3 31.6 29.7 8.7 12.6 3.7 0.6 8.3 29.8 20.9 10.0 11.6 11.2 11.6 8.9 22.6 19.1 2.2 55.7 22.4 31.3 19.4 18.0 5.7 12.2 14.8 9.7



Total Rank Abilene, TX. . . . . . . . . . . . . Akron, OH . . . . . . . . . . . . . Albany, GA . . . . . . . . . . . . . Albany-Schenectady-Troy, NY Albuquerque, NM. . . . . . . . . Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,757.6 927.2 1,958.0 2,878.3 9,297.0 2,026.5 1,475.7 527.1 3,682.3 573.7 27,220.9 452.9 757.5 722.5 612.3 1,041.4 2,041.1 1,035.2 8,480.3 671.5 615.6 3,324.5 4,279.9 8,161.4 3,104.5 3,556.1 1,305.6 4,214.6 718.4 630.9 2,388.2 2,503.6 3,054.8 4,711.2 1,238.4 5,369.8 3,613.3 1,089.6 1,345.1 1,186.3 11,833.1 4,511.5 751.4 855.7 566.0 837.0 1,276.3 1,607.1 2,366.7 434.8 1,506.3 979.9 1,211.9 155.7 5,375.7 2,019.7 1,924.3 2,547.0 3,162.9 3,147.2 1,657.9 2,137.9 2,687.6 9,579.2 1,677.1 4,465.9 2,242.2 773.9 3,978.9 1,315.7 2,133.7 2,688.5 1,161.9 3,833.9 1,960.0 409.4 4,013.6 2,401.4 111 280 162 101 9 155 220 343 77 338 2 350 310 315 333 263 153 264 15 323 331 87 57 17 93 80 237 59 316 326 132 128 94 49 245 41 79 254 232 249 5 52 311 295 339 297 239 201 133 351 215 273 246 361 40 157 165 126 91 92 194 146 117 8 187 54 139 305 67 236 147 116 251 71 161 354 65 130



Rank 242 281 253 318 79 351 250 339 138 252 91 317 153 156 353 140 93 74 18 184 26 147 9 78 263 340 102 170 324 343 268 31 6 151 356 216 172 258 193 126 12 274 38 95 72 267 40 168 346 86 189 303 27 34 236 182 297 331 239 33 85 215 200 206 201 229 68 103 314 4 69 28 98 110 279 190 146 219



Allentown-Bethlehem-Easton, PA-NJ . Altoona, PA . . . . . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . . Anderson, IN . . . . . . . . . . . . . . . . Anderson, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . Anniston-Oxford, AL . . . . . Appleton, WI . . . . . . . . . . Asheville, NC . . . . . . . . . Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Atlanta-Sandy Springs-Marietta, GA Atlantic City, NJ . . . . . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . Augusta-Richmond County, GA-SC . Austin-Round Rock, TX. . . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Baltimore-Towson, MD Bangor, ME . . . . . . . Barnstable Town, MA . Baton Rouge, LA . . . . Battle Creek, MI . . . . Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



24 1,178,556 94 28,225 97 27,946 184 63,921 22 403,536 30 118,168 189 278 266 195 288 328 318 61 5 141 337 206 161 313 281 133 19 299 194 111 202 257 40 132 346 92 225 292 4 103 160 196 249 329 78 31 80 222 178 200 147 230 159 197 327 17 248 69 154 110 287 234 127 251 170,822 −1,682 35,625 82,120 2,003 −1,566 23,864 39,034 40,409 17,405 −12,177 95,394 10,888 10,557 18,837 21,253 145,244 257,449 65,949 17,136 42,238 54,922 75,107 10,837 −19,177 22,587 21,830 12,828 105,775 12,014 5,307 26,590 7,427 1,946 42,158 305,805 30,136 43,321 8,465 916,240 21,051 164,715 42,721 16,660 45,895 38,890 33,887 128,002 23,656 98,823 15,318 7,778 207,526 35,494



Beaumont-Port Arthur, TX Bellingham, WA. . . . . . . Bend, OR . . . . . . . . . . . Billings, MT. . . . . . . . . . Binghamton, NY . . . . . . Birmingham-Hoover, AL .



Bismarck, ND . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA Bloomington, IN. . . . . . . . . . . . . . . . Bloomington-Normal, IL. . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . . Boston-Cambridge-Quincy, MA-NH . Boulder, CO3 . . . . . . . . . . . . . Bowling Green, KY. . . . . . . . . . Bremerton-Silverdale, WA . . . . . Bridgeport-Stamford-Norwalk, CT Brownsville-Harlingen, TX . . . . . Brunswick, GA . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . Burlington, NC. . . . . . . . . . . . Burlington-South Burlington, VT Canton-Massillon, OH. . . . . . . Cape Coral-Fort Myers, FL . . . Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Casper, WY . . . . . . . . . . . . . . . . . Cedar Rapids, IA . . . . . . . . . . . . . . Champaign-Urbana, IL . . . . . . . . . . Charleston, WV . . . . . . . . . . . . . . . Charleston-North Charleston, SC . . . Charlotte-Gastonia-Concord, NC-SC . Charlottesville, VA . . . . . . . . . . . . . Chattanooga, TN-GA . . . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI . Chico, CA. . . . . . . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN . . . Clarksville, TN-KY . . . . . . . Cleveland, TN . . . . . . . . . . Cleveland-Elyria-Mentor, OH Coeur d’Alene, ID . . . . . . . College Station-Bryan, TX . . Colorado Springs, CO. . . . . Columbia, MO . . . . Columbia, SC . . . . Columbus, GA-AL . Columbus, IN . . . . Columbus, OH . . . Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



E–12



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table E-13. Metropolitan Area Rankings — Population Indicators—Con.

Area, 2000 (square miles) Metropolitan statistical area 2005 (July 1) Rank 78,640 100,667 5,819,475 131,701 82,344 107,997 376,309 843,577 148,345 110,167 490,055 2,359,994 522,454 4,488,335 136,594 143,968 91,631 275,413 456,187 154,039 155,823 110,646 195,362 89,512 721,598 280,446 335,180 349,543 87,560 184,857 126,208 345,536 405,101 123,866 443,883 198,443 142,351 99,337 271,927 284,994 182,172 404,414 877,584 103,189 240,254 165,771 128,572 114,448 97,073 129,872 771,185 79,569 228,943 297,493 674,500 162,596 591,251 255,383 251,311 143,420 521,812 111,689 1,188,241 131,871 355,654 68,627 255,406 905,266 93,551 199,670 5,280,077 286,012 368,661 113,436 1,640,591 138,524 100,018 163,629 356 336 5 278 352 326 130 59 253 322 100 22 93 10 273 260 347 162 103 245 244 319 205 348 68 160 143 139 349 213 290 140 117 295 107 202 266 340 163 157 217 118 56 333 179 229 285 308 344 281 65 354 184 154 73 233 83 170 171 262 94 315 44 276 136 359 169 53 346 200 7 156 133 309 34 272 338 230 2005 (July 1) Rank 116.3 133.7 647.3 207.7 91.6 106.5 165.8 493.9 116.3 189.6 444.3 282.3 181.5 1,146.7 79.5 244.0 150.7 32.8 258.5 93.5 37.3 124.2 421.0 219.4 712.3 349.7 73.6 152.6 11.9 65.8 22.9 331.0 127.7 6.7 693.6 145.8 112.6 137.4 104.5 71.2 194.6 296.7 147.2 192.9 196.4 420.7 75.4 207.0 28.5 39.0 272.7 29.5 57.4 159.2 336.7 177.3 295.3 169.9 249.3 103.1 320.3 128.5 784.3 81.9 217.1 74.6 451.2 1,508.8 138.2 85.3 591.4 163.5 268.5 38.3 424.7 117.1 210.1 231.4 261 235 27 162 287 277 196 44 263 177 55 113 190 11 302 138 210 347 125 286 345 253 64 149 22 79 313 209 360 321 355 88 252 361 24 217 268 232 279 315 173 106 216 174 171 67 308 161 352 342 118 351 330 203 87 192 107 195 135 281 96 247 19 299 154 300 53 5 233 292 31 197 121 344 61 262 157 140 Population Population per square mile of land area1 Population change, April 1, 2000, to July 1, 2005 Total population change2 Rank 501 −1,341 657,957 11,640 −1,580 −2,159 255 −4,576 2,478 −4,539 46,712 181,600 41,056 35,778 5,733 17,268 2,475 −73 32,384 5,702 13,462 3,103 12,571 −1,558 41,976 −397 12,203 6,728 4,720 10,490 12,407 8,923 58,056 7,546 7,735 5,288 −599 2,041 20,433 11,823 11,674 14,258 78,177 −270 7,862 26,456 4,227 1,119 −405 12,937 30,703 −788 48,082 14,996 31,053 9,903 31,329 9,193 28,540 13,959 12,738 3,522 39,623 8,059 13,834 −3,287 17,092 29,110 5,483 5,193 564,670 −2,637 26,034 11,759 115,487 6,848 3,517 5,207 304 323 2 168 326 334 306 353 281 352 58 17 70 76 224 129 282 309 80 225 152 271 160 324 69 314 162 219 245 175 161 188 50 205 201 233 318 289 119 165 167 147 40 313 200 102 254 301 315 158 87 319 57 142 86 179 83 184 93 149 159 265 72 197 150 348 130 91 227 238 5 342 103 166 26 216 266 237 Percent change, 2000– 2005 Rank 0.6 −1.3 12.7 9.7 −1.9 −2.0 0.1 −0.5 1.7 −4.0 10.5 8.3 8.5 0.8 4.4 13.6 2.8 0.0 7.6 3.8 9.5 2.9 6.9 −1.7 6.2 −0.1 3.8 2.0 5.7 6.0 10.9 2.7 16.7 6.5 1.8 2.7 −0.4 2.1 8.1 4.3 6.8 3.7 9.8 −0.3 3.4 19.0 3.4 1.0 −0.4 11.1 4.1 −1.0 26.6 5.3 4.8 6.5 5.6 3.7 12.8 10.8 2.5 3.3 3.4 6.5 4.0 −4.6 7.2 3.3 6.2 2.7 12.0 −0.9 7.6 11.6 7.6 5.2 3.6 3.3 Population change, April 1, 1990, to April 1, 2000 Total population change2 Rank 291 336 3 196 349 330 287 314 242 344 77 12 87 30 272 237 320 301 67 270 156 297 174 348 61 307 131 221 309 202 192 134 49 212 305 225 262 293 86 136 173 145 42 316 129 119 302 283 351 185 59 324 112 138 53 167 62 140 164 169 152 208 177 244 110 249 108 133 241 261 7 334 111 250 28 234 325 282 Percent change, 1990– 2000 10.4 0.4 29.4 21.7 −4.9 1.3 2.1 0.5 10.9 −2.1 19.6 30.7 15.6 4.8 8.7 14.1 3.2 2.3 23.8 7.8 30.2 6.6 17.0 −4.3 14.9 1.9 14.2 5.5 6.6 13.7 24.2 13.2 44.9 20.4 1.3 9.6 8.9 8.0 35.1 16.7 18.6 10.1 19.8 3.6 21.5 45.9 4.9 8.3 −5.5 24.8 14.6 3.4 37.3 16.0 19.1 23.9 18.6 18.4 15.6 27.6 7.3 22.7 2.2 13.0 16.9 22.0 26.9 4.8 20.0 6.4 25.2 0.2 16.8 14.6 17.8 13.8 2.6 5.8



Total Rank Corvallis, OR . . . . . . . . . . . Cumberland, MD-WV . . . . . . Dallas-Fort Worth-Arlington, Dalton, GA . . . . . . . . . . . . . Danville, IL . . . . . . . . . . . . . Danville, VA . . . . . . . . . . . . ... ... TX . ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 679.0 759.0 9,284.2 637.5 902.1 1,022.1 2,313.8 1,716.1 1,317.1 585.4 1,432.4 8,387.2 2,912.2 4,235.1 1,728.9 800.1 616.6 9,215.1 1,812.1 1,686.6 4,481.7 893.6 467.9 410.8 1,014.7 1,558.4 4,721.8 2,348.0 7,444.0 2,820.7 5,538.4 1,050.8 3,213.0 18,661.2 649.3 1,370.5 1,342.4 765.8 2,633.9 4,092.8 1,082.0 1,368.4 6,017.4 548.8 1,324.6 429.2 1,777.5 556.7 3,437.6 3,341.1 2,890.7 2,711.7 4,021.6 2,849.0 2,020.0 920.7 2,030.8 1,976.8 1,018.8 1,391.5 1,664.4 870.9 1,606.7 1,620.9 1,665.8 1,006.0 1,632.0 2,126.9 734.6 3,552.1 10,061.9 1,773.8 1,419.9 3,006.2 3,887.9 1,194.1 491.6 723.8 321 309 10 325 285 266 135 184 235 336 224 16 99 58 183 301 330 11 172 186 53 288 349 353 269 209 48 134 21 105 38 260 90 3 324 230 233 308 120 63 257 231 32 342 234 352 177 340 82 85 100 113 64 104 156 281 154 159 267 228 191 290 202 199 190 271 197 148 312 81 6 179 227 98 69 247 347 314



Rank 212 333 36 80 357 325 316 332 209 349 97 29 135 288 235 153 305 312 62 249 32 270 117 355 145 320 152 284 269 159 58 169 15 90 326 220 231 244 22 123 106 213 94 298 82 11 286 240 359 57 148 302 19 131 101 60 105 107 137 44 261 67 313 173 119 75 46 290 92 272 54 336 120 149 114 158 309 278



295 7,342 334 365 42 1,172,250 65 21,422 345 −4,338 347 1,445 307 321 272 359 55 79 75 291 176 36 241 308 88 199 67 236 102 341 121 311 201 263 134 125 53 247 20 113 267 243 320 258 85 180 104 207 64 314 217 12 216 285 319 52 183 326 2 151 162 114 139 203 41 54 252 223 214 112 186 361 96 219 120 246 45 325 89 47 90 156 208 220 7,868 4,318 14,311 −2,500 72,631 507,267 65,048 203,858 10,509 15,704 2,740 6,256 81,868 10,794 33,058 6,628 26,593 −4,125 88,012 5,271 40,047 17,957 5,120 21,071 22,196 39,187 107,581 19,729 5,682 16,960 11,623 7,213 65,358 39,092 26,722 35,721 131,917 3,619 41,129 43,849 5,806 8,663 −5,703 23,110 94,568 2,666 49,115 38,901 103,400 29,464 87,787 38,315 29,997 27,992 34,832 20,004 24,940 14,209 49,442 12,967 50,546 39,925 14,671 11,635 948,072 460 49,329 12,927 230,887 15,945 2,404 8,666



Davenport-Moline-Rock Island, IA-IL . . . . . Dayton, OH . . . . . . . . . . . . . . . . . . . . . Decatur, AL . . . . . . . . . . . . . . . . . . . . . Decatur, IL . . . . . . . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, FL Denver-Aurora, CO3 . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . Detroit-Warren-Livonia, MI. Dothan, AL . . . . . . . . . . . . Dover, DE . . . . . . . . . . . . Dubuque, IA . . . . . . . . . . . Duluth, MN-WI . . . . . . . . . Durham, NC . . . . . Eau Claire, WI. . . . El Centro, CA . . . . Elizabethtown, KY . Elkhart-Goshen, IN. Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



El Paso, TX . . . . . . . . Erie, PA . . . . . . . . . . . Eugene-Springfield, OR Evansville, IN-KY . . . . . Fairbanks, AK . . . . . . . Fargo, ND-MN. . . . . . .



Farmington, NM. . . . . . . . . . . . . . . . . Fayetteville, NC . . . . . . . . . . . . . . . . . Fayetteville-Springdale-Rogers, AR-MO . Flagstaff, AZ . . . . . . . . . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Florence, SC. . . . . . . . . . . . . . . . . . . Florence-Muscle Shoals, AL. . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Fort Wayne, IN . . . . . . . . . . . . . . . . . Fresno, CA . . . . Gadsden, AL. . . Gainesville, FL . Gainesville, GA . Glens Falls, NY . Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Grand Forks, ND-MN . . . . . Grand Junction, CO . . . . . . Grand Rapids-Wyoming, MI . Great Falls, MT . . . . . . . . . Greeley, CO3 . . . . . . . . . . Green Bay, WI . . . . . . . . .



Greensboro-High Point, NC . . . . . Greenville, NC. . . . . . . . . . . . . . Greenville, SC. . . . . . . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . . Hagerstown-Martinsburg, MD-WV . Hanford-Corcoran, CA . . . . . . . .



Harrisburg-Carlisle, PA . . . . . . . . . . . . . Harrisonburg, VA . . . . . . . . . . . . . . . . . Hartford-West Hartford-East Hartford, CT . Hattiesburg, MS. . . . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . . Holland-Grand Haven, MI . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . Hot Springs, AR. . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA Houston-Sugar Land-Baytown, TX . Huntington-Ashland, WV-KY-OH . . . Huntsville, AL . . Idaho Falls, ID. . Indianapolis, IN . Iowa City, IA . . . Ithaca, NY . . . . Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–13



Table E-13. Metropolitan Area Rankings — Population Indicators—Con.

Area, 2000 (square miles) Metropolitan statistical area 2005 (July 1) Rank 522,580 110,857 1,248,371 152,440 157,538 143,867 188,944 148,073 112,084 166,178 319,348 107,972 1,947,694 220,961 351,528 301,294 182,693 655,400 101,362 128,899 183,340 247,824 194,977 542,912 490,562 455,315 224,695 189,444 1,710,551 102,914 112,429 125,578 59,109 108,039 429,889 106,234 281,553 643,272 110,426 201,501 97,325 12,923,547 1,208,452 258,970 236,910 228,712 142,788 537,039 401,291 127,949 678,275 195,322 1,260,905 241,706 5,422,200 110,512 121,371 1,512,855 3,142,779 100,086 401,427 505,505 171,138 153,935 357,244 114,501 130,575 113,171 116,362 175,554 226,992 132,764 307,242 1,422,544 846,766 1,319,367 18,747,320 162,611 92 318 42 249 240 261 211 254 314 228 145 327 27 191 137 152 216 78 335 283 215 174 207 89 99 104 189 210 31 334 312 292 360 324 110 328 159 80 321 199 343 2 43 167 181 186 263 90 120 286 72 206 41 177 6 320 298 37 16 337 119 97 226 246 135 307 279 311 303 223 187 275 149 39 58 40 1 232 2005 (July 1) Rank 140.3 131.0 387.6 198.7 218.8 63.9 221.2 215.2 76.3 131.3 272.2 159.5 247.9 75.0 124.5 149.7 162.2 352.9 183.3 127.5 143.5 245.4 81.8 289.7 516.9 266.7 66.9 49.8 216.3 225.2 105.2 346.9 39.8 229.9 290.7 263.0 199.1 157.3 60.3 112.9 85.4 2,664.6 292.2 144.0 111.5 132.6 66.8 196.1 458.1 257.4 432.0 70.1 275.8 125.3 1,057.8 184.8 134.9 1,036.2 518.4 38.5 325.6 338.4 115.0 279.4 131.1 113.5 182.6 65.2 296.1 344.9 200.2 176.1 151.7 250.1 1,397.3 418.4 2,787.3 284.8 230 241 73 166 152 324 151 153 306 244 117 202 133 312 257 211 200 80 185 248 221 134 298 112 40 119 319 334 158 146 280 82 341 143 110 120 169 207 326 269 293 2 108 219 273 238 320 172 52 124 62 317 116 254 13 183 236 14 39 343 91 86 265 114 240 267 187 323 104 83 175 191 215 132 7 63 1 111 Population Population per square mile of land area1 Population change, April 1, 2000, to July 1, 2005 Total population change2 Rank 25,383 3,492 125,621 2,085 5,231 3,815 7,337 −4,525 4,322 8,856 4,482 4,139 111,276 29,139 20,816 2,810 4,944 39,321 −179 2,061 4,799 8,888 1,409 58,988 19,904 7,493 31,578 14,762 334,813 2,949 −2,567 5,251 1,148 4,246 21,563 −2,239 14,766 32,754 7,706 7,459 4,377 557,928 46,037 9,270 8,294 6,327 19,679 35,265 20,450 −903 108,812 14,047 55,711 31,152 414,212 406 5,362 12,111 173,962 4,284 1,584 58,508 1,085 7,990 10,716 3,301 7,494 10,192 −2,407 5,354 30,363 8,456 55,865 110,751 22,758 2,855 423,938 156 105 267 24 287 236 260 210 351 250 190 248 256 27 90 115 276 240 74 311 288 243 189 297 48 121 208 81 144 11 273 341 235 300 253 111 335 143 79 202 209 249 6 60 183 195 222 122 77 118 321 29 148 52 85 9 305 231 164 19 252 294 49 302 198 173 268 207 178 338 232 88 194 51 28 109 275 7 307 Percent change, 2000– 2005 Rank 5.1 3.3 11.2 1.4 3.4 2.7 4.0 −3.0 4.0 5.6 1.4 4.0 6.1 15.2 6.3 0.9 2.8 6.4 −0.2 1.6 2.7 3.7 0.7 12.2 4.2 1.7 16.4 8.5 24.3 3.0 −2.2 4.4 2.0 4.1 5.3 −2.1 5.5 5.4 7.5 3.8 4.7 4.5 4.0 3.7 3.6 2.8 16.0 7.0 5.4 −0.7 19.1 7.7 4.6 14.8 8.3 0.4 4.6 0.8 5.9 4.5 0.4 13.1 0.6 5.5 3.1 3.0 6.1 9.9 −2.0 3.1 15.4 6.8 22.2 8.4 2.8 0.2 2.3 0.1 158 224 50 280 215 244 188 356 191 137 279 192 124 26 118 286 240 116 312 275 245 204 293 43 182 273 21 76 3 233 351 177 262 185 152 349 Population change, April 1, 1990, to April 1, 2000 Total population change2 Rank 50,256 16,576 197,537 517 12,797 19,348 21,238 −10,431 14,142 22,412 21,395 7,578 199,510 41,789 61,892 22,806 12,445 81,162 4,595 10,437 19,693 30,346 16,174 78,542 47,836 15,054 59,878 39,172 634,306 18,164 3,510 6,583 6,602 −1,466 59,898 −1,282 109 227 34 333 252 214 199 354 245 190 197 289 33 126 90 186 253 69 312 273 213 161 233 70 113 240 96 135 11 220 317 299 298 340 95 338 141 73 184 246 269 4 51 211 191 236 149 80 118 322 35 151 41 157 6 318 279 82 15 224 201 72 294 254 127 296 189 182 337 265 106 248 55 24 210 107 1 332 Percent change, 1990– 2000 11.2 18.3 21.4 0.3 9.2 16.0 13.2 −6.4 15.1 16.6 7.3 7.9 12.2 27.9 23.0 8.3 7.5 15.2 4.7 9.0 12.4 14.5 9.1 19.4 11.3 3.5 44.9 28.9 85.5 22.2 3.1 5.8 12.9 −1.4 17.2 −1.2 16.5 14.1 29.3 7.8 13.2 9.7 10.0 8.6 10.9 7.6 39.8 16.1 13.3 2.2 48.5 23.8 12.9 18.0 23.5 2.8 8.8 4.8 16.9 21.8 5.6 20.6 4.4 9.2 13.6 6.4 22.4 29.4 −0.7 7.1 36.5 12.2 65.3 25.1 2.5 4.1 8.8 0.7



Total Rank Jackson, MS . . . . . Jackson, TN . . . . . Jacksonville, FL. . . Jacksonville, NC . . Janesville, WI . . . . Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,795.3 847.4 3,698.1 908.6 726.2 2,278.4 863.9 693.4 1,476.4 1,268.0 1,670.4 681.4 7,949.4 3,025.5 2,858.6 2,047.1 1,160.8 1,931.7 554.3 1,048.8 1,284.5 1,086.8 3,025.9 2,010.0 983.8 1,714.5 3,375.5 3,814.6 8,090.7 474.5 1,083.8 362.6 1,497.1 497.2 1,484.1 406.9 1,422.4 4,198.2 1,841.4 1,807.7 1,166.3 5,700.3 4,196.3 1,802.4 2,146.7 1,737.7 2,153.3 2,802.1 892.2 500.3 1,582.7 2,801.8 4,699.6 1,971.9 6,137.2 613.0 902.0 3,322.3 6,364.1 2,618.3 1,644.0 1,514.7 1,538.0 680.0 2,786.5 1,017.3 792.5 1,920.5 395.9 1,459.3 1,255.0 788.3 2,304.9 5,762.7 862.0 7,097.0 9,212.2 1,581.4 73 296 76 283 313 138 292 317 219 241 189 319 20 96 102 152 252 164 341 262 238 255 95 158 272 185 84 72 19 348 256 359 216 346 218 355 226 60 171 173 250 35 61 175 145 182 143 106 289 345 203 107 50 160 30 332 286 88 27 121 195 213 211 320 108 268 302 166 357 222 242 304 137 34 293 23 12 204



Rank 205 108 83 335 224 130 166 360 143 124 262 248 192 42 66 241 257 142 291 228 186 150 225 99 203 301 14 39 2 73 306 277 179 342 116 341 125 157 37 251 167 217 214 237 210 255 17 129 165 315 8 61 176 110 64 307 232 289 118 77 283 87 295 223 162 271 71 35 337 264 21 191 3 55 310 296 233 330



Johnson City, TN . . . . . Johnstown, PA . . . . . . Jonesboro, AR . . . . . . Joplin, MO . . . . . . . . . Kalamazoo-Portage, MI Kankakee-Bradley, IL . .



Kansas City, MO-KS. . . . . . . . . Kennewick-Richland-Pasco, WA . Killeen-Temple-Fort Hood, TX . . Kingsport-Bristol-Bristol, TN-VA . Kingston, NY. . . . . . . . . . . . . . Knoxville, TN . . . . . . . . . . . . . Kokomo, IN . . . . . La Crosse, WI-MN . Lafayette, IN . . . . . Lafayette, LA . . . . Lake Charles, LA . . Lakeland, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Lancaster, PA . . . . . . . . Lansing-East Lansing, MI Laredo, TX . . . . . . . . . . Las Cruces, NM . . . . . . Las Vegas-Paradise, NV . Lawrence, KS . . . . . . . . Lawton, OK . . . . . . . Lebanon, PA . . . . . . . Lewiston, ID-WA . . . . Lewiston-Auburn, ME . Lexington-Fayette, KY Lima, OH . . . . . . . . . . . . . . . . . . . . .



Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . Little Rock-North Little Rock, AR. . . . . . . . Logan, UT-ID . . . . . . . . . . . . . . . . . . . . Longview, TX . . . . . . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Louisville, KY-IN Lubbock, TX . . . Lynchburg, VA. . Macon, GA . . . . Madera, CA . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



142 37,696 149 75,484 91 23,305 198 13,989 164 10,829 169 1,091,907 193 205 210 237 23 99 148 323 11 87 166 28 81 301 167 290 131 170 300 38 296 143 229 231 122 62 348 227 25 105 106,002 19,760 22,390 15,752 35,019 69,451 44,768 2,715 185,918 34,880 137,941 32,151 951,464 3,040 9,398 68,592 429,972 17,115 21,200 76,475 7,172 12,345 41,353 6,654 22,490 23,424 −890 11,217 52,576 13,514



Manchester-Nashua, NH . . . . Mansfield, OH . . . . . . . . . . . McAllen-Edinburg-Mission, TX Medford, OR . . . . . . . . . . . . Memphis, TN-MS-AR . . . . . . Merced, CA . . . . . . . . . . . .



Miami-Fort Lauderdale-Miami Beach, FL . Michigan City-La Porte, IN. . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . . Minneapolis-St. Paul-Bloomington, MN-WI . Missoula, MT . . . . . . . . . . . . . . . . . . . . Mobile, AL . . . . . . . . . . . . . . . . . . . . . . Modesto, CA. . . . . . . . . . . . . . . . . . . . . Monroe, LA . . . . . . . . . . . . . . . . . . . . . Monroe, MI . . . . . . . . . . . . . . . . . . . . . . Montgomery, AL . . . . . . . . . . . . . . . . . . Morgantown, WV . . . . . . . . . . . . . . . . . .



Morristown, TN . . . . . . . . . . . . . . . . . . . . . Mount Vernon-Anacortes, WA . . . . . . . . . . . Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . Muskegon-Norton Shores, MI. . . . . . . . . . . . Myrtle Beach-Conway-North Myrtle Beach, SC Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . .



Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . Nashville-Davidson-Murfreesboro, TN . . . . . . . . . . . . . . New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



6 99,278 77 263,573 242 19,789 304 52,119 256 1,476,956 306 1,075



E–14



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table E-13. Metropolitan Area Rankings — Population Indicators—Con.

Area, 2000 (square miles) Metropolitan statistical area 2005 (July 1) Rank 266,618 303,442 99,286 125,339 486,842 1,156,812 228,867 813,170 1,933,255 159,482 111,599 796,106 531,250 161,558 162,529 157,199 439,877 369,161 5,823,233 3,865,077 104,865 2,386,074 131,868 85,908 514,227 2,095,861 381,033 667,742 198,701 1,622,520 452,851 151,322 157,536 195,708 949,681 118,203 396,314 179,904 393,946 1,175,654 3,909,954 292,983 176,984 1,039,028 339,178 145,507 94,198 2,042,283 208,356 181,159 118,885 121,961 2,778,518 375,560 412,104 116,247 1,034,484 105,367 1,889,797 2,933,462 78,665 4,152,688 1,754,988 255,478 400,762 249,666 140,855 466,477 673,035 313,883 550,546 3,203,314 114,610 116,834 383,233 142,571 207,918 318,156 166 151 341 293 101 46 185 60 28 237 316 62 91 236 234 242 109 132 4 14 331 21 277 350 96 24 128 75 201 35 105 250 241 204 51 301 123 220 124 45 13 155 222 49 142 259 345 26 195 219 299 297 18 131 112 305 50 330 29 17 355 12 30 168 121 172 268 102 74 148 86 15 306 302 127 264 196 146 2005 (July 1) Rank 400.3 192.2 389.4 139.1 327.0 209.6 314.8 186.4 553.8 363.3 123.3 431.5 521.9 211.5 119.0 130.5 262.0 149.5 1,257.7 265.2 51.3 451.9 141.6 34.1 247.2 313.6 337.8 412.7 24.5 1,013.4 84.0 63.3 227.0 587.7 448.8 18.9 461.4 47.5 59.6 205.8 143.4 156.3 109.4 354.5 426.6 139.2 183.6 400.9 257.5 103.3 49.0 73.4 321.3 195.1 124.1 165.1 108.4 40.9 257.5 698.4 308.5 1,679.2 654.8 77.3 146.4 561.0 73.8 296.0 512.6 231.0 315.1 543.5 223.0 125.1 147.5 68.8 80.6 334.9 69 180 71 231 94 159 99 181 37 76 256 57 41 160 260 245 122 212 10 126 332 51 220 346 131 101 92 66 354 15 305 325 144 30 56 357 50 335 327 165 227 208 274 78 60 228 184 70 123 282 336 311 95 176 250 198 276 340 127 23 98 3 25 304 214 33 314 105 43 142 97 35 148 251 213 318 301 84 Population Population per square mile of land area1 Population change, April 1, 2000, to July 1, 2005 Total population change2 Rank 7,512 44,526 −3,040 4,216 44,186 61,391 21,512 46,030 288,692 2,719 1,724 42,909 55,020 13,341 −2,095 6,635 27,724 2,286 136,092 613,201 −2,480 −45,013 −3,085 2,805 26,659 167,980 61,607 46,225 31,184 39,523 76,073 9,850 15,909 6,877 152,655 5,385 22,676 16,648 51,061 78,697 655,133 4,729 13,366 1,197 18,974 2,516 3,633 245,426 −1,686 13,763 28,531 −1,861 79,846 28,342 10,342 6,856 65,601 −414 178,071 119,629 −886 28,946 19,169 8,797 1,415 −5,936 11,567 7,863 83,072 20,584 −10,079 159,429 1,954 6,239 7,268 −482 20,825 1,495 206 63 345 255 64 46 112 61 12 278 291 66 53 155 333 220 98 283 23 4 339 361 346 277 101 20 45 59 84 73 41 180 135 214 22 230 110 133 54 39 3 244 154 299 127 280 262 14 328 151 94 330 37 95 176 215 44 316 18 25 320 92 124 191 296 356 170 199 35 117 358 21 290 223 212 317 114 295 Percent change, 2000– 2005 Rank 2.9 17.2 −3.0 3.5 10.0 5.6 10.4 6.0 17.6 1.7 1.6 5.7 11.6 9.0 −1.3 4.4 6.7 0.6 2.4 18.9 −2.3 −1.9 −2.3 3.4 5.5 8.7 19.3 7.4 18.6 2.5 20.2 7.0 11.2 3.6 19.2 4.8 6.1 10.2 14.9 7.2 20.1 1.6 8.2 0.1 5.9 1.8 4.0 13.7 −0.8 8.2 31.6 −1.5 3.0 8.2 2.6 6.3 6.8 −0.4 10.4 4.3 −1.1 0.7 1.1 3.6 0.4 −2.3 8.9 1.7 14.1 7.0 −1.8 5.2 1.7 5.6 1.9 −0.3 11.1 0.5 235 18 357 213 60 138 58 126 16 270 276 135 48 71 333 175 108 297 Population change, April 1, 1990, to April 1, 2000 Total population change2 Rank 4,131 64,083 7,237 2,189 90,857 124,379 46,117 81,244 419,709 16,443 5,194 84,181 77,252 21,223 2,717 18,648 67,747 8,347 315 88 292 326 60 46 115 68 16 229 308 64 71 200 321 217 84 286 27 5 335 361 350 275 114 17 83 101 97 76 50 218 158 247 26 278 143 232 63 39 10 209 194 148 144 276 280 21 343 219 125 300 48 81 116 263 32 304 23 20 319 14 31 166 165 176 160 78 54 150 358 13 281 238 231 260 155 207 Percent change, 1990– 2000 1.6 32.9 7.6 1.8 25.8 12.8 28.6 11.8 34.3 11.7 5.0 12.6 19.4 16.7 1.7 14.1 19.7 2.3 4.6 45.3 0.4 −1.5 −3.2 13.7 10.5 26.5 27.2 9.6 55.5 4.8 39.9 15.0 27.6 7.9 47.3 9.3 11.0 11.0 33.3 15.6 25.7 7.4 15.3 3.5 12.9 7.3 11.5 21.3 −0.9 12.4 86.1 5.6 4.6 24.9 13.0 11.9 26.1 5.7 21.6 12.6 3.6 11.9 13.1 13.6 8.0 11.3 30.7 18.1 20.5 13.5 −2.5 18.9 8.4 16.4 4.5 8.9 21.9 6.8



Total Rank Norwich-New London, CT Ocala, FL . . . . . . . . . . . Ocean City, NJ . . . . . . . Odessa, TX . . . . . . . . . Ogden-Clearfield, UT . . . Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 771.7 1,663.0 620.3 901.7 1,904.0 5,581.8 773.6 4,406.2 4,011.8 578.7 931.4 2,208.2 1,557.0 1,033.3 1,386.5 1,526.9 2,049.1 2,518.3 4,870.6 14,598.4 2,084.7 5,343.1 946.3 2,590.1 2,858.4 6,817.8 1,440.9 1,663.9 8,127.8 2,236.2 5,547.3 2,397.7 859.1 791.9 2,147.6 6,266.8 865.7 3,847.4 6,815.1 5,841.7 27,408.5 1,896.7 1,644.0 4,870.1 801.2 1,049.3 518.5 5,309.3 815.8 1,802.9 2,429.9 1,673.9 8,844.0 1,938.3 3,771.1 1,010.6 9,977.0 2,592.1 7,384.7 4,525.5 626.2 3,424.4 2,694.7 3,615.5 3,789.1 607.2 1,910.8 1,768.2 1,617.9 1,569.6 1,776.4 6,309.4 1,271.0 979.2 2,698.3 2,094.6 2,586.9 969.4 307 193 328 287 169 36 306 55 66 337 279 142 210 265 229 212 151 127 44 4 150 42 278 124 103 24 223 192 18 140 37 131 294 303 144 29 291 70 25 33 1 170 196 45 300 261 344 43 299 174 129 188 14 163 75 270 7 123 22 51 327 83 115 78 74 334 167 180 200 207 178 28 240 274 114 149 125 275



Rank 323 25 256 321 51 180 41 197 23 199 285 183 100 122 322 155 96 311 292 13 334 345 352 160 211 47 45 221 5 287 16 144 43 247 10 222 208 207 24 136 52 259 141 300 178 260 202 84 338 187 1 282 293 56 174 195 50 280 81 181 299 196 171 161 243 204 30 109 88 163 350 104 238 127 294 230 76 266



Olympia, WA. . . . . . . . . . . . . . . . . Omaha-Council Bluffs, NE-IA . . . . . . Orlando-Kissimee, FL . . . . . . . . . . . Oshkosh-Neenah, WI . . . . . . . . . . . Owensboro, KY . . . . . . . . . . . . . . . Oxnard-Thousand Oaks-Ventura, CA. Palm Bay-Melbourne-Titusville, FL . . Panama City-Lynn Haven, FL . . . . . Parkersburg-Marietta-Vienna, WV-OH Pascagoula, MS . . . . . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Peoria, IL . . . . . . . . . . . . . . . . . . . Philadelphia-Camden-Wilmington, Phoenix-Mesa-Scottsdale, AZ . . . . Pine Bluff, AR . . . . . . . . . . . . . . . Pittsburgh, PA . . . . . . . . . . . . . . . Pittsfield, MA. . . . . . . . . . . . . . . . Pocatello, ID . . . . . . . . . . . . . . . .



PA-NJ-DE-MD . ........... ........... ........... ........... ........... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



255 251,679 13 1,013,396 353 383 344 −37,202 352 −4,399 218 9,991 144 74 9 93 14 253 7 101 49 209 10 163 123 59 27 95 8 274 83 305 128 268 190 35 324 82 1 336 232 84 250 119 107 317 57 181 331 294 282 211 302 354 72 271 32 100 342 153 269 136 265 315 51 298 46,311 404,140 68,355 54,408 59,803 73,208 107,367 18,421 30,652 13,797 255,971 9,597 37,115 16,220 85,692 147,713 666,028 19,911 21,673 35,421 36,485 9,791 9,314 315,755 −1,907 18,416 41,794 6,520 117,790 69,190 46,102 11,612 200,783 5,694 303,958 315,817 2,772 437,148 201,545 29,519 29,739 25,868 30,364 70,392 100,476 34,940 −14,639 484,714 8,769 15,574 16,278 11,703 33,593 20,134



Portland-South Portland-Biddeford, ME . . . Portland-Vancouver-Beaverton, OR-WA . . . Port St. Lucie-Fort Pierce, FL. . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA. Provo-Orem, UT . Pueblo, CO. . . . . Punta Gorda, FL . Racine, WI . . . . . Raleigh-Cary, NC. Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Reading, PA . . . . . . . . . . . . . . . . . . Redding, CA . . . . . . . . . . . . . . . . . . Reno-Sparks, NV. . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . . . . . . Riverside-San Bernardino-Ontario, CA . Roanoke, VA. . . . . . . . . . . . . . . . . .



Rochester, MN . . . . . . . . . . . . . . . . . . Rochester, NY. . . . . . . . . . . . . . . . . . . Rockford, IL . . . . . . . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . Sacramento-Arden-Arcade-Roseville, CA . Saginaw-Saginaw Township North, MI . St. Cloud, MN . . . . . . . . . . . . . . . . . St. George, UT . . . . . . . . . . . . . . . . St. Joseph, MO-KS . . . . . . . . . . . . . St. Louis, MO-IL4 . . . . . . . . . . . . . . . Salem, OR . . . . . . . . . . . . . . . . . . . Salinas, CA . . . . . . . . . . . . . . . . . . Salisbury, MD . . . . . . . . . . . . . . . . . Salt Lake City, UT . . . . . . . . . . . . . . San Angelo, TX . . . . . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA . Sandusky, OH . . . . . . . . . . . . . . . . . San Francisco-Oakland-Fremont, CA San Jose-Sunnyvale-Santa Clara, CA . San Luis Obispo-Paso Robles, CA . . . Santa Barbara-Santa Maria, CA . . . . . Santa Cruz-Watsonville, CA. . . . . . . . Santa Fe, NM . . . . . . . . . . . . Santa Rosa-Petaluma, CA. . . . Sarasota-Bradenton-Venice, FL Savannah, GA . . . . . . . . . . . Scranton-Wilkes-Barre, PA . . . Seattle-Tacoma-Bellevue, WA Sheboygan, WI . . . . . . . . . . . Sherman-Denison, TX . . . . . . Shreveport-Bossier City, LA . . . Sioux City, IA-NE-SD . . . . . . . Sioux Falls, SD . . . . . . . . . . . South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–15



Table E-13. Metropolitan Area Rankings — Population Indicators—Con.

Area, 2000 (square miles) Metropolitan statistical area 2005 (July 1) Rank 266,809 440,706 205,527 687,264 398,124 142,376 140,561 664,116 105,517 651,763 334,886 2,647,658 168,059 133,805 656,696 229,075 366,256 924,786 887,715 196,885 190,594 297,885 124,838 411,593 128,594 113,356 153,252 1,647,346 410,874 224,668 126,163 5,214,666 161,897 128,941 126,464 104,768 148,677 587,055 146,276 118,395 315,144 116,267 448,629 783,262 231,586 408,801 593,168 156,029 181,277 165 108 197 71 122 265 269 76 329 79 144 20 227 274 77 183 134 52 55 203 208 153 294 113 284 310 248 33 114 190 291 8 235 282 289 332 252 85 258 300 147 304 106 64 182 116 82 243 218 2005 (July 1) Rank 329.0 249.8 173.9 371.7 132.3 355.9 126.9 474.7 158.7 272.8 140.3 1,036.7 114.7 88.5 405.4 70.7 1,620.6 100.7 141.3 75.3 205.4 113.5 78.6 496.5 255.7 50.4 313.4 626.8 85.2 215.6 334.6 926.7 107.4 83.5 217.7 22.1 156.3 141.5 55.5 95.9 163.8 109.1 306.9 517.7 53.9 452.2 348.1 126.5 32.9 90 128 193 75 243 77 249 49 201 115 229 16 264 290 68 316 4 283 224 310 167 266 303 42 129 333 100 28 296 156 89 18 275 297 150 356 205 222 329 285 204 278 102 38 331 54 81 255 348 Population Population per square mile of land area1 Population change, April 1, 2000, to July 1, 2005 Total population change2 Rank 13,027 22,767 4,087 7,250 29,750 −2,365 4,803 100,518 881 1,609 14,582 251,645 −2,895 4,056 −2,492 4,524 15,495 81,040 28,185 3,751 15,888 −2,011 5,272 17,080 15,647 1,693 6,814 70,429 42,853 11,155 15,398 418,484 −1,810 3,107 −5,544 5,549 −4,501 15,887 −5,248 −1,649 40,594 13,270 26,672 33,289 9,005 27,050 −9,796 16,880 21,251 157 108 257 213 89 337 242 32 303 293 145 13 343 258 340 247 140 36 96 261 136 332 234 131 138 292 218 42 67 171 141 8 329 270 355 226 350 137 354 327 71 156 100 78 187 99 357 132 113 Percent change, 2000– 2005 Rank 5.1 5.4 2.0 1.1 8.1 −1.6 3.5 17.8 0.8 0.2 4.6 10.5 −1.7 3.1 −0.4 2.0 4.4 9.6 3.3 1.9 9.1 −0.7 4.4 4.3 13.9 1.5 4.7 4.5 11.6 5.2 13.9 8.7 −1.1 2.5 −4.2 5.6 −2.9 2.8 −3.5 −1.4 14.8 12.9 6.3 4.4 4.0 7.1 −1.6 12.1 13.3 157 145 259 283 86 339 212 15 289 303 168 56 340 228 316 261 173 66 221 264 70 322 174 179 34 277 165 171 46 155 33 73 330 254 360 140 355 239 358 335 29 39 117 172 187 98 338 44 37 Population change, April 1, 1990, to April 1, 2000 Total population change2 Rank 26,991 56,575 11,887 7,044 69,556 −2,806 11,972 82,970 2,009 −9,710 61,208 328,038 4,365 9,617 5,031 14,294 24,937 176,866 98,513 15,861 23,397 −16,737 20,316 54,121 22,739 12,269 8,385 126,981 56,100 24,394 21,557 673,269 5,066 10,434 −10,515 20,764 −6,129 60,055 11,149 1,334 74,408 18,829 60,513 41,258 33,758 42,177 −10,658 16,506 53,131 171 98 259 295 79 345 258 65 327 353 91 19 313 277 311 243 178 36 57 235 183 359 206 102 187 255 285 45 99 179 195 9 310 274 355 204 352 94 266 331 75 216 93 128 154 123 356 228 105 Percent change, 1990– 2000 11.9 15.7 6.3 1.0 23.3 −1.9 9.7 17.3 2.0 −1.5 23.6 15.9 2.6 8.0 0.8 6.8 7.7 26.5 12.9 9.0 15.5 −5.3 20.5 15.9 25.2 12.3 6.1 8.8 18.0 12.9 24.2 16.3 3.2 9.0 −7.4 26.5 −3.8 11.7 7.9 1.1 37.2 22.4 16.7 5.8 17.9 12.4 −1.7 13.5 49.7



Total Rank Spartanburg, SC Spokane, WA . . Springfield, IL . . Springfield, MA . Springfield, MO . Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 819.1 1,780.7 1,192.4 1,904.3 3,020.8 403.6 1,111.9 1,426.3 682.0 2,779.4 2,602.7 3,330.9 1,484.8 1,560.3 2,208.9 3,290.2 228.8 9,188.8 6,460.2 2,667.6 949.5 2,715.5 1,629.0 906.7 616.9 2,780.2 676.6 3,896.5 4,839.1 1,060.2 379.8 6,028.0 1,514.1 1,576.1 591.5 4,842.3 962.4 4,181.1 2,675.0 1,243.8 2,310.6 1,069.6 1,473.2 1,579.0 4,311.6 910.3 1,740.7 1,252.3 5,519.0 298 176 248 168 97 356 253 225 318 110 122 86 217 208 141 89 360 13 26 119 277 112 198 284 329 109 322 68 47 259 358 31 214 206 335 46 276 62 118 244 136 258 221 205 56 282 181 243 39



Rank 194 134 273 328 65 348 218 115 319 344 63 133 308 245 329 265 254 48 175 227 139 358 89 132 53 188 275 234 112 177 59 128 304 226 361 49 354 198 246 327 20 70 121 276 113 185 347 164 7



State College, PA . . . . . . . . . . . . . Stockton, CA . . . . . . . . . . . . . . . . Sumter, SC. . . . . . . . . . . . . . . . . . Syracuse, NY . . . . . . . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Terre Haute, IN . . . . . . . . . . Texarkana, TX-Texarkana, AR Toledo, OH . . . . . . . . . . . . . Topeka, KS. . . . . . . . . . . . . Trenton-Ewing, NJ . . . . . . . . Tucson, AZ . . . . . . . . . . . . . Tulsa, OK. . . . . . . Tuscaloosa, AL . . . Tyler, TX . . . . . . . Utica-Rome, NY . . Valdosta, GA. . . . . Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Vero Beach, FL . . . . . . . . . . . . . . . . . . . . . Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . Virginia Beach-Norfolk-Newport News, VA-NC. Visalia-Porterville, CA . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . Washington-Arlington-Alexandria, Waterloo-Cedar Falls, IA . . . . . . . . Wausau, WI . . . . . . . . . . . . . . . . Weirton-Steubenville, WV-OH. . . . . Wenatchee, WA . . . . . . . . . . . . . Wheeling, WV-OH . Wichita, KS. . . . . . Wichita Falls, TX . . Williamsport, PA . . Wilmington, NC . . . Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



........... DC-VA-MD-WV ........... ........... ........... ........... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Winston-Salem, NC . . . . . . . . Worcester, MA . . . . . . . . . . . Yakima, WA . . . . . . . . . . . . . York-Hanover, PA . . . . . . . . . Youngstown-Warren-Boardman, Yuba City, CA . . . . . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . .

1 2 3



...... ...... ...... ...... OH-PA . ...... ......



Persons per square mile were calculated on the basis of land area data from the 2000 census. Includes net internal migration and residual not shown separately. The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld Counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 4 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA. Source: U.S. Census Bureau. See Tables B-1 and B-2 of the State and Metropolitan Area Data Book: 2006. For more information, see .



E–16



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table E-14. Metropolitan Area Rankings — Population Characteristics

Age, 2003 (percent) Metropolitan statistical area Black or African American alone, 2003 (percent) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 11.2 49.2 7.3 2.9 28.4 3.4 1.2 6.0 1.9 5.3 8.0 17.0 12.3 19.4 0.6 5.0 19.8 29.2 18.2 23.2 35.3 7.9 6.3 27.3 0.5 2.1 34.4 11.0 1.4 25.4 0.8 0.3 0.5 3.4 28.1 0.3 4.4 2.0 6.6 0.7 7.5 1.0 8.0 2.9 10.7 0.7 23.5 12.6 18.7 0.8 6.7 7.6 1.7 0.9 2.5 9.7 4.8 31.6 23.2 13.5 14.0 3.1 18.5 1.5 11.5 20.2 3.5 19.6 0.3 12.2 6.9 8.6 34.2 40.3 1.7 13.6 3.5 Educational attainment, 2000 Bachelor’s degree or higher (percent) 19.6 24.3 15.7 29.1 28.1 15.7 21.7 13.9 20.8 44.5 27.0 14.4 15.9 48.1 15.2 22.2 23.1 32.4 31.4 18.7 27.9 20.4 36.7 13.5 29.2 20.3 33.6 22.8 16.0 14.2 14.7 27.2 25.0 26.2 22.0 22.7 25.5 25.7 29.0 36.2 25.5 37.0 52.4 22.3 25.3 39.9 13.4 19.7 23.2 19.2 34.8 17.3 21.1 18.5 20.0 24.9 34.5 17.9 25.0 28.0 38.3 19.4 23.4 29.0 21.8 24.8 16.2 14.5 23.9 19.1 31.5 31.8 39.9 26.6 18.3 22.0 28.3 17.7



Rank 182 122 1 174 254 33 244 310 199 284 210 162 82 111 71 341 214 67 31 78 47 16 165 193 35 345 279 19 125 303 40 334 357 348 246 34 360 223 280 186 338 173 321 161 256 130 337 45 107 73 332 183 170 291 325 268 137 217 28 48 103 101 250 76 299 119 62 243 68 361 113 180 155 21 10 289 102 242



Asian alone, 2003 (percent) 1.1 1.6 0.7 2.6 1.9 0.9 2.0 0.5 1.8 6.2 4.9 0.4 0.5 7.6 0.7 2.4 0.7 2.2 3.7 5.7 1.9 1.5 4.0 3.6 3.1 0.8 0.8 1.5 1.3 0.5 2.1 3.1 0.8 0.6 2.7 0.9 0.5 2.5 2.8 2.8 1.6 5.4 3.7 1.3 4.5 3.8 0.5 0.5 1.6 1.2 1.8 0.6 1.0 1.6 0.5 1.4 6.5 0.8 1.6 2.4 2.8 1.1 1.0 4.9 3.8 1.5 1.7 0.7 1.7 0.5 3.4 2.8 3.2 1.4 1.4 2.3 2.9 1.2



Rank 217 172 292 90 136 266 129 350 150 21 30 359 328 16 305 99 304 115 53 23 142 180 45 54 68 283 279 178 203 332 118 70 272 316 87 258 349 97 78 84 171 26 52 194 37 48 334 331 166 210 147 317 249 173 347 190 18 278 174 100 85 218 230 31 49 175 157 303 153 327 61 81 66 185 187 108 74 207



Hispanic or Latino origin,1 2003 (percent) 18.7 0.9 1.2 3.1 42.9 1.6 8.1 0.5 21.0 1.6 5.7 1.7 1.3 2.8 1.8 2.0 3.8 5.6 7.7 13.3 1.5 2.2 28.3 41.5 2.1 0.6 1.5 1.9 3.3 4.0 8.8 5.5 4.2 3.7 2.2 2.1 0.7 1.3 1.5 3.2 9.9 7.0 11.8 2.9 4.6 12.9 85.7 2.7 3.4 8.8 1.0 0.9 12.2 15.6 4.9 1.4 3.2 0.5 2.4 6.5 2.5 1.6 11.6 17.9 11.3 1.2 3.9 2.1 3.5 2.6 18.7 11.6 1.8 2.6 3.5 2.7 2.1 55.1



Rank 60 343 324 222 19 296 108 360 50 297 146 293 318 230 283 275 191 149 114 70 299 252 37 20 262 355 306 280 215 183 102 150 179 194 256 260 353 314 304 220 94 124 79 229 172 73 3 236 213 103 339 346 75 68 165 312 218 358 247 134 244 295 81 63 84 323 186 265 201 241 61 80 282 237 204 233 269 7



Under 25 years 38.7 33.8 39.0 32.5 35.8 36.7 32.1 31.4 37.9 41.8 39.3 33.3 33.0 36.4 33.7 36.0 29.9 39.5 36.0 33.7 41.1 37.1 37.3 41.8 34.0 32.8 26.1 38.2 35.1 32.6 36.2 35.9 32.4 33.6 33.2 33.8 35.0 39.1 39.0 39.7 37.8 32.1 34.3 36.7 35.8 32.8 45.1 34.6 32.2 34.5 34.4 33.1 27.9 32.2 35.7 34.4 39.8 30.4 36.3 35.0 35.2 32.8 35.1 36.0 35.6 35.5 39.6 33.4 33.1 35.5 45.4 37.9 39.1 35.6 39.0 34.3 35.4 38.7



Rank 68 259 62 308 160 121 321 330 82 19 54 278 289 132 265 147 345 50 148 262 32 109 99 20 247 300 359 76 191 306 141 152 310 268 281 260 201 57 60 48 85 315 238 124 161 297 8 216 311 219 231 284 357 313 164 229 45 340 135 199 184 301 195 151 168 170 49 275 285 176 7 83 58 165 63 235 181 67



65 years and over 13.2 13.4 11.1 13.7 11.4 13.1 15.1 17.3 11.9 9.9 6.1 15.0 13.7 8.3 14.3 11.0 17.5 9.1 7.7 13.4 8.3 11.2 7.2 9.2 11.9 13.3 22.9 9.8 13.7 14.9 13.2 12.0 13.3 13.7 15.8 12.7 13.3 11.2 10.9 9.5 9.9 12.5 8.0 10.9 10.8 13.0 10.9 13.6 15.6 13.9 10.2 15.2 23.8 15.3 12.7 13.0 10.7 15.2 10.7 9.6 12.4 13.6 11.7 10.7 15.0 11.6 9.6 12.7 14.4 12.9 8.5 8.8 9.2 10.6 11.2 12.7 10.0 11.7



Rank 134 123 247 103 234 140 53 23 207 305 359 55 104 342 80 250 21 333 352 121 341 242 356 331 203 127 8 315 106 57 131 202 129 101 39 163 128 244 255 323 309 176 347 253 263 143 254 109 43 93 289 52 7 50 167 145 269 51 271 319 179 114 215 267 56 217 321 160 75 153 340 338 330 273 243 164 298 214



Rank 221 124 298 55 63 297 181 332 202 5 79 322 291 2 305 169 151 34 38 236 69 208 21 337 53 210 30 156 290 325 317 76 111 94 172 158 100 98 57 23 102 17 1 168 103 10 341 219 149 227 24 270 196 244 215 112 25 255 108 65 15 224 143 56 179 116 287 319 137 230 37 36 9 86 248 173 62 259



Abilene, TX. . . . . . . . . . . . . Akron, OH . . . . . . . . . . . . . Albany, GA . . . . . . . . . . . . . Albany-Schenectady-Troy, NY Albuquerque, NM. . . . . . . . . Alexandria, LA. . . . . . . . . . .



. . . . . .



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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Allentown-Bethlehem-Easton, PA-NJ . Altoona, PA . . . . . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . . Anderson, IN . . . . . . . . . . . . . . . . Anderson, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . Anniston-Oxford, AL . . . . . Appleton, WI . . . . . . . . . . Asheville, NC . . . . . . . . . Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Atlanta-Sandy Springs-Marietta, GA Atlantic City, NJ . . . . . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . Augusta-Richmond County, GA-SC . Austin-Round Rock, TX. . . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Baltimore-Towson, MD Bangor, ME . . . . . . . Barnstable Town, MA . Baton Rouge, LA . . . . Battle Creek, MI . . . . Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Beaumont-Port Arthur, TX Bellingham, WA. . . . . . . Bend, OR . . . . . . . . . . . Billings, MT. . . . . . . . . . Binghamton, NY . . . . . . Birmingham-Hoover, AL .



Bismarck, ND . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA Bloomington, IN. . . . . . . . . . . . . . . . Bloomington-Normal, IL. . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . . Boston-Cambridge-Quincy, MA-NH . Boulder, CO4 . . . . . . . . . . . . . Bowling Green, KY. . . . . . . . . . Bremerton-Silverdale, WA . . . . . Bridgeport-Stamford-Norwalk, CT Brownsville-Harlingen, TX . . . . . Brunswick, GA . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . Burlington, NC. . . . . . . . . . . . Burlington-South Burlington, VT Canton-Massillon, OH. . . . . . . Cape Coral-Fort Myers, FL . . . Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Casper, WY . . . . . . . . . . . . . . . . . Cedar Rapids, IA . . . . . . . . . . . . . . Champaign-Urbana, IL . . . . . . . . . . Charleston, WV . . . . . . . . . . . . . . . Charleston-North Charleston, SC . . . Charlotte-Gastonia-Concord, NC-SC . Charlottesville, VA . . . . . . . . . . . . . Chattanooga, TN-GA . . . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI . Chico, CA. . . . . . . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN . . . Clarksville, TN-KY . . . . . . . Cleveland, TN . . . . . . . . . . Cleveland-Elyria-Mentor, OH Coeur d’Alene, ID . . . . . . . College Station-Bryan, TX . . Colorado Springs, CO. . . . . Columbia, MO . . . . Columbia, SC . . . . Columbus, GA-AL . Columbus, IN . . . . Columbus, OH . . . Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–17



Table E-14. Metropolitan Area Rankings — Population Characteristics—Con.

Age, 2003 (percent) Metropolitan statistical area Black or African American alone, 2003 (percent) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.9 4.7 14.0 2.8 11.0 33.0 6.1 14.5 11.9 14.5 10.0 5.8 4.0 23.0 23.5 20.7 1.1 0.9 28.7 0.4 4.3 11.4 5.1 6.5 2.8 6.3 0.9 5.6 6.7 1.1 0.6 37.7 1.5 1.0 20.3 41.1 12.5 1.0 0.8 3.7 9.4 9.8 5.7 14.8 19.9 6.9 2.0 33.6 1.2 0.5 7.9 1.5 0.8 1.2 23.8 35.1 17.5 19.5 6.5 8.7 9.7 3.4 10.7 26.5 6.8 38.6 1.2 3.1 8.1 15.7 16.8 2.5 21.5 0.6 14.4 2.8 4.0 7.9 Educational attainment, 2000 Bachelor’s degree or higher (percent) 47.4 13.4 28.5 11.1 12.5 11.3 19.9 22.8 15.8 16.9 17.6 34.2 27.9 23.2 15.9 18.6 21.3 20.5 38.8 22.1 10.3 14.8 15.5 18.6 16.6 20.9 25.5 17.4 27.0 29.4 13.5 18.3 20.9 29.9 16.2 16.9 16.8 16.9 39.5 13.2 24.2 21.3 17.5 13.4 36.7 18.7 18.9 15.0 24.2 22.0 22.7 21.5 21.6 20.1 23.4 23.9 23.1 17.9 14.5 10.4 24.3 21.4 30.5 22.6 13.6 13.2 26.0 27.9 18.0 12.3 26.4 14.9 30.9 24.2 26.5 42.0 47.5 16.3



Rank 328 219 100 262 124 25 197 96 117 97 135 204 234 49 46 57 317 327 32 351 225 120 212 187 261 194 330 207 185 314 343 14 298 319 60 9 109 318 333 239 143 136 205 94 66 178 282 22 307 346 164 301 335 313 43 17 81 69 189 151 138 245 129 37 181 12 309 249 158 88 83 269 53 342 98 258 230 163



Asian alone, 2003 (percent) 5.2 0.5 4.3 0.8 0.6 0.4 1.4 1.6 0.4 0.8 1.2 3.4 2.7 2.9 0.5 1.8 0.7 0.7 3.6 2.2 2.1 1.9 1.1 1.0 1.0 0.7 2.4 0.7 2.0 1.4 0.3 2.1 1.5 0.9 0.9 0.6 0.4 0.9 1.8 2.0 2.8 1.5 8.6 0.4 3.6 1.4 0.5 1.0 1.0 0.6 1.7 0.9 1.0 2.0 2.2 1.0 1.4 2.4 0.7 3.2 2.1 1.4 2.8 0.8 2.5 1.9 2.4 46.9 0.6 0.8 5.4 0.5 1.9 0.8 1.6 4.6 9.0 0.6



Rank 27 347 39 271 320 358 193 168 351 282 216 59 88 75 338 143 289 300 58 116 120 138 225 232 243 294 103 288 125 189 361 124 179 257 263 309 360 264 146 127 79 181 14 351 55 188 342 227 237 324 156 262 247 129 117 246 192 102 293 66 122 184 83 276 93 135 104 1 322 270 25 332 137 277 167 36 12 321



Hispanic or Latino origin,1 2003 (percent) 5.1 0.7 24.3 20.0 3.3 1.5 6.1 1.2 3.4 1.1 7.9 20.3 4.5 3.1 1.5 3.5 1.2 0.8 8.0 0.8 74.7 2.9 10.7 2.2 81.3 2.2 5.1 1.1 4.7 1.8 15.4 5.6 9.8 11.1 2.4 1.1 1.1 2.5 8.9 5.3 4.3 4.2 46.0 2.0 5.7 22.6 1.9 5.5 2.8 10.3 6.9 2.6 29.7 3.7 5.2 4.5 4.0 2.3 1.4 45.4 2.7 6.4 9.8 1.3 5.0 6.4 7.4 6.8 2.7 1.7 31.1 0.7 2.2 8.5 3.3 2.6 3.6 2.4



Rank 162 351 44 54 214 303 140 327 210 331 111 53 174 223 300 207 325 349 110 348 5 228 89 255 4 257 163 335 169 281 69 148 96 85 250 333 330 246 101 155 178 180 15 273 147 47 279 151 232 92 128 242 34 193 159 175 184 251 310 17 233 138 95 321 164 137 117 131 235 290 33 354 259 106 216 238 196 249



Under 25 years 37.3 31.8 38.2 38.2 33.5 31.5 33.9 34.5 33.5 34.1 29.3 34.8 34.7 34.3 33.5 37.4 35.0 33.3 34.7 36.5 41.7 37.2 38.8 32.8 42.9 35.5 33.1 34.4 41.7 37.5 42.7 41.7 37.3 41.7 36.0 35.2 32.1 34.2 35.7 35.8 34.8 37.2 42.3 32.5 39.2 38.3 31.4 36.3 38.3 34.4 37.7 34.4 40.9 35.3 33.8 38.6 34.5 36.1 32.6 40.3 32.0 40.7 32.5 39.2 32.9 48.8 39.7 33.1 29.7 38.0 38.8 31.7 34.5 42.1 36.0 37.3 41.3 34.0



Rank 98 325 78 77 270 329 255 221 271 242 353 207 212 234 274 96 198 277 211 129 23 104 66 296 12 177 288 226 25 92 14 22 101 21 146 186 316 241 162 155 206 103 15 309 55 74 332 137 73 230 86 228 33 183 258 70 217 144 304 41 322 35 307 56 294 3 47 286 348 81 65 326 222 18 150 100 29 246



65 years and over 10.6 17.1 7.8 9.8 16.1 16.6 14.0 13.5 12.6 15.7 21.3 9.0 11.3 11.8 14.8 12.1 14.8 15.4 10.2 13.1 10.3 10.9 10.8 15.5 10.1 14.2 13.5 13.8 5.0 10.6 9.3 8.3 11.5 7.4 11.8 12.2 15.5 14.3 9.6 13.0 12.8 11.6 9.7 15.9 10.1 9.2 14.7 12.0 12.2 15.3 10.5 14.6 8.2 11.5 12.4 9.9 12.0 12.0 13.1 7.3 14.4 12.1 13.7 10.8 13.1 4.8 10.4 13.7 20.7 10.8 7.8 15.4 11.5 10.2 10.5 9.1 9.4 12.6



Rank 274 24 350 313 33 29 88 115 169 40 10 335 240 211 60 197 58 47 288 142 284 258 260 46 295 81 117 94 360 275 328 343 222 354 210 189 44 79 320 147 155 219 316 38 296 329 67 198 192 49 279 69 344 227 180 308 201 199 141 355 76 193 99 261 136 361 282 100 11 264 351 48 220 291 278 334 325 168



Rank 4 338 60 358 348 357 216 154 295 273 261 27 67 148 292 239 188 207 14 170 361 315 301 240 279 201 101 265 78 51 336 250 200 45 289 274 276 275 12 345 125 189 263 340 20 233 231 309 126 177 159 185 183 212 144 136 153 257 319 360 122 186 41 160 335 344 96 70 253 349 90 313 40 127 88 8 3 286



Corvallis, OR . . . . . . . . . . . Cumberland, MD-WV . . . . . . Dallas-Fort Worth-Arlington, Dalton, GA . . . . . . . . . . . . . Danville, IL . . . . . . . . . . . . . Danville, VA . . . . . . . . . . . .



... ... TX . ... ... ...



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Davenport-Moline-Rock Island, IA-IL . . . . . Dayton, OH . . . . . . . . . . . . . . . . . . . . . Decatur, AL . . . . . . . . . . . . . . . . . . . . . Decatur, IL . . . . . . . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, FL Denver-Aurora, CO4 . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . Detroit-Warren-Livonia, MI. Dothan, AL . . . . . . . . . . . . Dover, DE . . . . . . . . . . . . Dubuque, IA . . . . . . . . . . . Duluth, MN-WI . . . . . . . . . Durham, NC . . . . . Eau Claire, WI. . . . El Centro, CA . . . . Elizabethtown, KY . Elkhart-Goshen, IN. Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



El Paso, TX . . . . . . . . Erie, PA . . . . . . . . . . . Eugene-Springfield, OR Evansville, IN-KY . . . . . Fairbanks, AK . . . . . . . Fargo, ND-MN. . . . . . .



Farmington, NM. . . . . . . . . . . . . . . . . Fayetteville, NC . . . . . . . . . . . . . . . . . Fayetteville-Springdale-Rogers, AR-MO . Flagstaff, AZ . . . . . . . . . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Florence, SC. . . . . . . . . . . . . . . . . . . Florence-Muscle Shoals, AL. . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Fort Wayne, IN . . . . . . . . . . . . . . . . . Fresno, CA . . . . Gadsden, AL. . . Gainesville, FL . Gainesville, GA . Glens Falls, NY . Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Grand Forks, ND-MN . . . . . Grand Junction, CO . . . . . . Grand Rapids-Wyoming, MI . Great Falls, MT . . . . . . . . . Greeley, CO4 . . . . . . . . . . Green Bay, WI . . . . . . . . .



Greensboro-High Point, NC . . . . . Greenville, NC. . . . . . . . . . . . . . Greenville, SC. . . . . . . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . . Hagerstown-Martinsburg, MD-WV . Hanford-Corcoran, CA . . . . . . . .



Harrisburg-Carlisle, PA . . . . . . . . . . . . . Harrisonburg, VA . . . . . . . . . . . . . . . . . Hartford-West Hartford-East Hartford, CT . Hattiesburg, MS. . . . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . . Holland-Grand Haven, MI . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . Hot Springs, AR. . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA Houston-Sugar Land-Baytown, TX . Huntington-Ashland, WV-KY-OH . . . Huntsville, AL . . Idaho Falls, ID. . Indianapolis, IN . Iowa City, IA . . . Ithaca, NY . . . . Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



E–18



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table E-14. Metropolitan Area Rankings — Population Characteristics—Con.

Age, 2003 (percent) Metropolitan statistical area Black or African American alone, 2003 (percent) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.1 29.9 22.7 18.7 4.6 7.2 2.8 3.0 8.8 1.3 8.7 15.6 12.7 1.6 19.4 1.9 6.4 6.3 5.8 0.9 2.2 26.0 23.7 14.7 3.3 8.6 0.5 2.2 9.1 4.1 20.8 1.5 0.3 0.9 10.6 12.2 2.8 22.3 0.5 17.8 0.6 8.1 13.3 7.8 18.3 42.1 4.0 3.7 1.7 9.5 0.7 0.5 44.9 4.1 20.9 10.1 6.9 16.4 5.9 0.4 34.4 3.0 33.4 2.0 41.4 2.7 2.9 0.5 6.7 14.2 15.9 1.8 6.0 15.1 12.4 37.9 20.2 15.9 Educational attainment, 2000 Bachelor’s degree or higher (percent) 26.2 20.1 22.6 14.8 16.7 21.2 18.5 13.7 17.3 16.4 26.9 15.0 28.0 23.3 18.0 15.5 25.0 24.6 17.1 24.6 29.2 22.0 16.4 14.9 20.5 28.4 13.9 22.3 17.3 42.7 19.1 15.4 18.6 14.4 29.8 13.4 32.0 24.2 29.6 16.2 13.3 26.3 21.2 24.0 18.7 18.7 12.0 36.9 30.1 12.6 12.9 22.3 22.0 11.0 24.1 14.0 24.8 27.0 33.3 32.8 18.6 14.1 21.2 14.3 24.2 26.0 12.2 20.8 20.4 13.9 18.7 26.4 27.9 25.6 27.6 22.8 30.3 19.6



Rank 4 30 50 74 220 175 259 253 148 304 150 90 106 296 72 283 191 192 203 324 275 39 44 95 247 153 350 274 144 228 56 300 359 326 132 114 260 51 349 79 339 159 104 168 77 7 231 240 295 142 336 347 5 229 55 134 179 84 201 355 18 252 23 281 8 265 257 344 184 99 86 287 198 93 110 13 63 87



Asian alone, 2003 (percent) 0.8 0.7 2.6 2.2 0.9 0.7 0.6 0.4 0.5 0.7 1.7 0.8 2.0 2.2 2.5 0.4 1.5 1.2 1.0 3.0 4.5 1.3 0.7 1.1 1.6 3.1 0.4 1.0 5.5 3.6 2.3 0.9 0.7 0.7 2.1 0.8 3.2 1.1 1.9 0.6 1.3 13.2 1.2 1.3 0.8 1.0 1.5 3.7 2.5 0.6 0.7 1.0 1.6 6.5 1.9 0.5 1.0 2.5 4.7 1.2 1.7 4.7 0.7 0.6 0.9 2.2 0.5 1.7 0.8 0.5 0.9 4.2 0.8 1.9 2.9 2.5 8.6 1.4



Rank 275 299 89 112 251 297 318 356 329 305 151 279 128 114 98 357 183 206 240 72 38 205 290 219 163 71 353 244 24 56 107 254 302 307 121 284 64 223 139 323 201 5 208 204 285 239 176 51 94 318 298 234 170 17 133 346 242 95 33 211 160 34 295 312 254 113 339 155 286 345 261 42 287 140 75 95 13 191



Hispanic or Latino origin,1 2003 (percent) 1.1 1.8 4.1 4.8 4.5 1.3 1.5 1.0 2.2 3.7 4.1 5.9 5.7 23.1 17.1 0.8 7.0 1.4 1.7 0.9 5.2 1.7 1.5 11.4 6.0 4.9 95.1 64.9 24.4 3.5 7.3 5.2 1.9 1.1 3.4 1.5 3.5 2.1 7.3 9.2 5.2 43.0 2.0 29.6 1.0 1.3 47.2 3.4 3.6 0.9 89.2 7.4 2.6 49.5 36.8 3.5 31.8 6.9 3.8 1.7 1.2 36.0 1.5 2.2 1.3 0.9 4.4 12.5 1.1 3.8 3.1 26.6 23.3 3.8 11.1 4.7 20.9 3.4



Rank 334 284 181 167 176 315 308 338 258 195 182 142 144 46 66 350 126 313 286 347 160 291 301 83 141 166 1 6 43 200 120 157 278 332 209 309 202 263 122 100 156 18 272 35 337 316 14 212 198 342 2 119 239 13 25 203 32 129 189 292 326 27 305 253 320 345 177 74 329 192 224 40 45 190 86 170 51 211



Under 25 years 37.6 36.6 35.6 50.2 35.2 34.6 30.3 29.9 36.2 36.2 37.1 37.0 35.1 39.9 42.2 29.4 31.7 31.9 34.3 36.5 41.6 38.1 37.2 34.0 35.6 37.5 48.4 41.7 34.9 41.4 41.2 31.7 32.6 32.6 34.1 36.1 37.3 35.1 48.6 36.3 34.9 36.9 33.7 39.9 33.5 36.6 39.7 34.5 33.6 33.1 47.2 32.8 37.4 44.5 32.1 33.7 39.5 35.2 35.1 34.8 37.0 40.7 38.3 35.1 36.7 35.7 32.1 35.0 37.6 36.2 30.4 32.9 28.5 34.3 33.0 35.9 32.8 34.5



Rank 89 125 167 2 187 213 342 346 138 143 111 116 194 44 17 352 328 323 237 131 26 80 106 250 166 93 5 24 203 28 31 327 303 305 243 145 102 190 4 134 205 118 263 43 273 125 46 225 269 283 6 302 97 10 318 261 51 188 192 208 117 38 75 196 122 163 319 200 87 139 339 293 356 239 290 153 295 218



65 years and over 10.7 12.3 11.0 7.2 12.8 11.5 14.7 19.3 12.3 13.5 11.6 12.9 11.3 9.6 8.7 16.2 13.2 13.6 13.7 13.1 9.8 9.9 12.1 17.8 14.2 10.3 7.6 11.3 10.8 8.1 10.2 16.5 17.1 14.2 10.3 13.9 10.5 11.5 7.8 13.8 13.5 10.0 12.2 11.2 14.8 11.9 10.8 10.0 10.6 14.8 9.4 15.9 9.9 9.0 15.9 13.5 11.9 12.4 9.6 10.1 12.1 10.0 12.3 11.4 11.5 11.7 13.6 14.3 13.6 12.7 15.6 14.4 23.8 10.3 13.9 11.5 12.7 14.5



Rank 269 185 252 357 156 224 66 14 187 119 218 151 238 322 339 31 133 108 102 138 314 309 195 20 83 285 353 239 266 345 292 30 25 84 286 89 276 222 349 97 118 302 191 241 59 206 265 304 272 63 326 35 312 336 37 120 205 181 318 294 194 303 183 235 221 216 112 78 113 165 41 74 6 287 91 228 166 73



Rank 93 213 161 314 277 192 245 333 269 282 83 310 66 146 254 302 110 118 272 121 53 174 281 311 206 61 329 165 268 6 228 303 241 323 47 339 35 131 48 288 342 91 193 135 234 237 352 18 44 347 346 167 176 359 132 328 115 80 31 32 238 327 194 324 128 95 350 204 209 330 235 89 68 99 73 157 43 220



Jackson, MS . . . . . Jackson, TN . . . . . Jacksonville, FL. . . Jacksonville, NC . . Janesville, WI . . . . Jefferson City, MO .



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Johnson City, TN . . . . . Johnstown, PA . . . . . . Jonesboro, AR . . . . . . Joplin, MO . . . . . . . . . Kalamazoo-Portage, MI Kankakee-Bradley, IL . .



Kansas City, MO-KS. . . . . . . . . Kennewick-Richland-Pasco, WA . Killeen-Temple-Fort Hood, TX . . Kingsport-Bristol-Bristol, TN-VA . Kingston, NY. . . . . . . . . . . . . . Knoxville, TN . . . . . . . . . . . . . Kokomo, IN . . . . . La Crosse, WI-MN . Lafayette, IN . . . . . Lafayette, LA . . . . Lake Charles, LA . . Lakeland, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Lancaster, PA . . . . . . . . Lansing-East Lansing, MI Laredo, TX . . . . . . . . . . Las Cruces, NM . . . . . . Las Vegas-Paradise, NV . Lawrence, KS . . . . . . . . Lawton, OK . . . . . . . Lebanon, PA . . . . . . . Lewiston, ID-WA . . . . Lewiston-Auburn, ME . Lexington-Fayette, KY Lima, OH . . . . . . . . . . . . . . . . . . . . .



Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . Little Rock-North Little Rock, AR. . . . . . . . Logan, UT-ID . . . . . . . . . . . . . . . . . . . . Longview, TX . . . . . . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Louisville, KY-IN Lubbock, TX . . . Lynchburg, VA. . Macon, GA . . . . Madera, CA . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Manchester-Nashua, NH . . . . Mansfield, OH . . . . . . . . . . . McAllen-Edinburg-Mission, TX Medford, OR . . . . . . . . . . . . Memphis, TN-MS-AR . . . . . . Merced, CA . . . . . . . . . . . .



Miami-Fort Lauderdale-Miami Beach, FL . Michigan City-La Porte, IN. . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . . Minneapolis-St. Paul-Bloomington, MN-WI . Missoula, MT . . . . . . . . . . . . . . . . . . . . Mobile, AL . . . . . Modesto, CA. . . . Monroe, LA . . . . Monroe, MI . . . . . Montgomery, AL . Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Morristown, TN . . . . . . . . . . . . . . . . . . . . . Mount Vernon-Anacortes, WA . . . . . . . . . . . Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . Muskegon-Norton Shores, MI. . . . . . . . . . . . Myrtle Beach-Conway-North Myrtle Beach, SC Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . .



Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . Nashville-Davidson-Murfreesboro, TN . . . . . . . . . . . . . . New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–19



Table E-14. Metropolitan Area Rankings — Population Characteristics—Con.

Age, 2003 (percent) Metropolitan statistical area Black or African American alone, 2003 (percent) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.1 12.0 5.0 4.7 1.4 10.9 2.6 7.8 15.7 1.2 3.9 2.2 9.0 11.1 1.0 20.1 17.6 8.8 20.6 4.0 46.4 8.0 2.2 0.6 0.9 2.9 12.2 10.2 0.4 5.1 0.4 2.3 4.9 10.9 20.1 1.3 4.4 0.9 1.9 30.8 8.2 12.5 2.4 11.8 9.6 44.1 13.2 7.5 19.4 1.2 0.3 4.6 18.1 1.0 4.0 26.9 1.3 3.9 6.2 5.9 8.6 9.5 2.8 2.1 2.4 1.1 0.9 1.6 6.5 34.4 1.7 5.5 1.1 5.6 38.8 1.8 1.7 10.6 Educational attainment, 2000 Bachelor’s degree or higher (percent) 26.2 13.7 22.0 12.0 24.6 24.2 29.8 27.1 24.8 22.8 15.6 26.9 23.6 17.7 14.7 15.5 21.5 20.8 27.7 25.1 14.1 23.4 26.0 24.0 29.2 28.8 19.7 24.9 21.1 23.7 31.0 18.3 17.6 20.3 37.6 23.3 18.5 16.6 23.7 27.6 16.3 21.0 30.5 27.7 18.8 13.9 15.8 26.5 15.9 21.0 21.0 16.4 24.8 20.8 22.5 19.5 27.6 19.5 22.1 29.5 16.6 38.8 39.8 26.7 29.4 34.2 36.9 28.5 24.6 23.2 17.5 32.7 17.9 17.2 19.2 18.5 25.1 21.7



Rank 196 116 215 218 302 126 267 166 89 312 237 276 145 123 320 64 80 149 59 232 3 160 273 340 323 255 112 133 352 213 353 272 216 127 65 306 222 329 286 29 157 108 270 118 140 6 105 172 70 308 358 221 202 322 235 36 305 238 195 200 156 141 263 278 271 316 331 297 188 20 294 209 315 206 11 288 292 131



Asian alone, 2003 (percent) 2.6 0.9 0.6 0.6 1.6 2.9 4.7 1.8 3.2 2.1 0.4 5.8 1.7 1.9 0.6 1.7 2.2 1.3 3.8 2.4 0.6 1.3 1.2 1.0 1.3 5.2 0.9 2.6 0.6 2.3 1.2 0.7 1.0 0.8 3.3 0.9 1.2 2.0 4.2 2.1 4.6 1.2 3.9 2.2 1.8 0.5 1.0 10.0 0.9 1.6 0.5 0.5 1.7 1.8 6.3 1.6 2.8 0.9 1.5 9.4 0.5 20.9 27.8 2.8 4.2 3.7 1.1 3.6 1.0 1.7 0.7 9.5 4.0 0.6 1.0 2.8 1.1 1.5



Rank 91 267 311 310 165 73 32 144 65 123 355 22 152 141 326 159 111 197 47 101 314 195 214 234 199 28 251 92 325 106 209 291 230 274 63 253 212 126 43 119 35 215 46 110 145 340 232 8 256 162 335 344 7 148 20 169 82 265 177 11 341 3 2 80 41 50 222 57 229 161 296 10 44 315 245 86 224 182



Hispanic or Latino origin,1 2003 (percent) 5.5 7.0 3.6 45.7 9.3 7.4 4.8 5.8 19.0 2.1 1.0 35.3 5.2 2.1 0.5 2.1 2.1 1.8 5.4 28.1 1.1 0.7 2.0 6.8 1.0 8.7 9.4 11.5 10.5 7.8 7.5 39.3 3.8 8.6 7.0 2.5 10.6 6.6 18.4 2.6 40.9 1.4 2.4 5.2 9.5 3.5 6.5 16.9 6.9 1.5 5.7 2.0 1.7 17.8 49.7 2.0 13.0 32.9 52.1 28.7 2.2 18.9 25.4 17.3 36.1 27.7 49.5 19.8 7.9 2.0 1.5 6.2 3.9 8.0 2.1 10.9 2.0 4.7



Rank 152 127 199 16 99 118 168 143 58 268 336 28 158 261 359 264 266 284 153 38 328 352 270 132 340 104 98 82 91 113 116 23 188 105 125 245 90 133 62 240 22 311 248 161 97 206 136 67 130 307 145 271 41 64 11 274 71 30 10 36 254 59 42 65 26 39 12 57 112 277 302 139 185 109 267 88 276 171



Under 25 years 32.8 29.4 29.3 41.2 45.0 36.2 33.9 36.6 34.5 34.3 34.9 37.0 29.8 33.1 31.4 36.9 35.8 34.0 34.0 37.5 36.4 30.1 30.7 40.5 31.2 34.0 28.9 35.8 29.4 33.2 50.8 35.6 21.9 35.5 35.5 37.1 33.6 34.0 34.5 34.2 40.7 30.9 34.8 34.1 35.4 35.1 36.0 36.2 35.5 39.0 42.7 34.0 34.4 37.1 39.4 35.9 42.3 38.4 38.7 36.3 32.1 30.4 33.2 33.2 37.2 34.6 31.8 33.3 25.7 36.8 30.0 33.0 33.6 35.5 36.7 37.0 36.5 37.0



Rank 299 349 354 30 9 142 254 127 220 236 204 113 347 287 331 119 156 247 251 91 133 343 336 40 334 245 355 159 351 282 1 169 361 175 179 108 267 252 224 240 36 335 209 244 180 189 149 140 174 59 13 249 227 110 52 154 16 72 69 136 320 338 280 279 107 214 324 276 360 120 344 292 266 178 123 112 130 115



65 years and over 13.0 23.9 20.3 11.1 8.8 11.4 11.5 10.9 12.3 12.5 13.7 10.5 20.0 14.0 15.5 10.9 13.2 14.7 13.1 11.4 12.8 17.3 17.8 10.5 13.4 10.2 23.9 10.9 21.9 13.9 6.5 14.8 34.1 12.2 7.9 12.0 14.5 15.0 10.8 11.4 10.0 15.6 11.7 13.0 12.4 12.5 13.6 11.2 13.5 11.1 16.9 14.5 11.8 12.5 9.9 13.0 8.0 13.8 10.7 11.0 15.9 11.9 10.0 14.3 12.8 9.9 11.4 12.4 26.9 11.4 18.7 10.1 13.8 14.7 13.0 12.8 11.4 13.4



Rank 144 4 12 248 337 236 226 259 186 172 105 280 13 86 45 256 132 65 137 229 157 22 19 277 124 290 5 256 9 92 358 61 1 190 348 199 72 54 262 233 297 42 213 149 182 175 107 245 116 249 28 71 212 174 311 148 346 96 268 251 36 209 300 77 159 307 230 178 3 231 15 293 95 68 150 158 232 122



Rank 92 334 175 353 119 130 46 77 117 155 299 81 142 260 316 300 184 205 72 107 326 145 97 134 52 58 218 113 195 139 39 247 262 211 16 147 242 280 139 74 285 197 42 71 232 331 296 87 293 198 198 283 114 203 163 223 75 222 171 49 278 13 11 85 50 26 19 59 120 150 264 33 256 271 226 243 106 182



Norwich-New London, CT Ocala, FL . . . . . . . . . . . Ocean City, NJ . . . . . . . Odessa, TX . . . . . . . . . Ogden-Clearfield, UT . . . Oklahoma City, OK . . . .



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Olympia, WA. . . . . . . . . . . . . . . . . Omaha-Council Bluffs, NE-IA . . . . . . Orlando-Kissimee, FL . . . . . . . . . . . Oshkosh-Neenah, WI . . . . . . . . . . . Owensboro, KY . . . . . . . . . . . . . . . Oxnard-Thousand Oaks-Ventura, CA. Palm Bay-Melbourne-Titusville, FL . . Panama City-Lynn Haven, FL . . . . . Parkersburg-Marietta-Vienna, WV-OH Pascagoula, MS . . . . . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Peoria, IL . . . . . . . . . . . . . . . . . . . Philadelphia-Camden-Wilmington, Phoenix-Mesa-Scottsdale, AZ . . . . Pine Bluff, AR . . . . . . . . . . . . . . . Pittsburgh, PA . . . . . . . . . . . . . . . Pittsfield, MA. . . . . . . . . . . . . . . . Pocatello, ID . . . . . . . . . . . . . . . .



PA-NJ-DE-MD . ........... ........... ........... ........... ........... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Portland-South Portland-Biddeford, ME . . . Portland-Vancouver-Beaverton, OR-WA . . . Port St. Lucie-Fort Pierce, FL. . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA. Provo-Orem, UT . Pueblo, CO. . . . . Punta Gorda, FL . Racine, WI . . . . . Raleigh-Cary, NC. Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Reading, PA . . . . . . . . . . . . . . . . . . Redding, CA . . . . . . . . . . . . . . . . . . Reno-Sparks, NV. . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . . . . . . Riverside-San Bernardino-Ontario, CA . Roanoke, VA. . . . . . . . . . . . . . . . . .



Rochester, MN . . . . . . . . . . . . . . . . . . Rochester, NY. . . . . . . . . . . . . . . . . . . Rockford, IL . . . . . . . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . Sacramento-Arden-Arcade-Roseville, CA . Saginaw-Saginaw Township North, St. Cloud, MN . . . . . . . . . . . . . . St. George, UT . . . . . . . . . . . . . St. Joseph, MO-KS . . . . . . . . . . St. Louis, MO-IL5 . . . . . . . . . . . . Salem, OR . . . . . . . . . . . . . . . . MI . ... ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Salinas, CA . . . . . . . . . . . . . . . . . Salisbury, MD . . . . . . . . . . . . . . . . Salt Lake City, UT . . . . . . . . . . . . . San Angelo, TX . . . . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA



Sandusky, OH . . . . . . . . . . . . . . . . . San Francisco-Oakland-Fremont, CA San Jose-Sunnyvale-Santa Clara, CA . San Luis Obispo-Paso Robles, CA . . . Santa Barbara-Santa Maria, CA . . . . . Santa Cruz-Watsonville, CA. . . . . . . . Santa Fe, NM . . . . . . . . . . . . Santa Rosa-Petaluma, CA. . . . Sarasota-Bradenton-Venice, FL Savannah, GA . . . . . . . . . . . Scranton-Wilkes-Barre, PA . . . Seattle-Tacoma-Bellevue, WA Sheboygan, WI . . . . . . . . . . . Sherman-Denison, TX . . . . . . Shreveport-Bossier City, LA . . . Sioux City, IA-NE-SD . . . . . . . Sioux Falls, SD . . . . . . . . . . . South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



E–20



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table E-14. Metropolitan Area Rankings — Population Characteristics—Con.

Age, 2003 (percent) Metropolitan statistical area Black or African American alone, 2003 (percent) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.3 1.7 9.6 7.1 1.7 8.8 2.7 7.6 48.9 7.7 33.1 11.2 4.3 24.0 12.2 7.1 20.6 3.2 9.0 35.4 18.7 5.1 32.5 15.4 8.6 5.6 21.6 32.0 1.9 15.1 25.0 26.4 6.5 0.3 4.0 0.4 3.1 7.8 8.7 4.2 16.4 4.3 20.3 3.6 1.2 4.0 10.8 2.6 2.2 Educational attainment, 2000 Bachelor’s degree or higher (percent) 18.2 25.0 28.1 25.2 21.3 14.9 36.3 14.5 15.8 25.2 34.1 21.7 17.4 15.0 21.2 23.6 34.0 26.7 22.5 21.9 22.5 17.7 17.4 21.4 23.1 15.2 11.7 23.7 11.5 19.1 19.8 42.5 22.3 18.3 12.1 20.0 14.6 24.3 19.2 15.1 24.2 18.3 24.0 26.9 15.3 18.4 16.3 13.2 11.8



Rank 54 293 139 177 290 147 264 171 2 169 24 121 226 42 115 176 58 248 146 15 75 211 26 91 154 208 52 27 285 92 41 38 190 356 233 354 251 167 152 227 85 224 61 241 311 236 128 266 277



Asian alone, 2003 (percent) 1.7 1.9 1.3 1.9 0.9 0.6 4.3 13.0 1.0 2.0 1.6 2.2 1.0 0.5 1.3 0.9 6.3 2.3 1.4 0.9 0.8 1.3 1.0 13.5 0.9 1.3 1.1 2.9 3.4 1.2 1.8 7.7 1.1 5.1 0.4 0.7 0.5 3.1 1.7 0.5 0.6 0.8 1.0 3.3 1.0 1.0 0.5 10.0 1.1



Rank 154 132 196 134 260 313 40 6 227 131 164 109 238 336 202 259 19 105 186 268 279 200 236 4 269 198 226 77 60 213 149 15 220 29 354 301 337 69 157 342 308 273 250 62 241 248 330 9 221



Hispanic or Latino origin,1 2003 (percent) 3.4 3.1 1.3 12.1 1.7 1.3 1.5 33.4 1.6 2.6 3.9 12.0 0.9 3.6 4.6 6.5 10.9 31.9 5.3 1.3 13.0 3.3 3.0 19.9 7.6 40.9 21.0 3.1 53.8 19.8 2.9 10.1 1.7 0.9 0.6 20.4 0.5 8.1 12.1 0.6 2.8 3.5 7.3 7.3 38.3 3.2 1.7 22.3 54.4



Rank 208 225 322 76 288 317 298 29 294 243 186 78 341 197 173 135 87 31 154 319 72 217 226 55 115 21 49 221 9 56 227 93 289 344 357 52 361 107 77 356 231 205 123 121 24 219 287 48 8



Under 25 years 33.9 35.5 33.0 35.1 35.2 34.3 40.1 40.8 38.6 34.9 37.4 30.5 35.5 35.1 35.8 34.4 34.6 35.3 35.8 37.6 37.0 32.2 39.0 37.5 26.8 38.2 34.5 37.5 44.2 40.7 37.9 33.9 35.5 34.7 29.4 36.6 30.3 37.2 38.8 32.8 31.3 33.7 33.5 33.9 41.6 32.2 32.1 39.3 40.5



Rank 257 173 291 193 185 233 42 34 71 202 95 337 172 197 158 232 215 182 157 88 114 312 61 90 358 79 223 94 11 37 84 256 171 210 350 128 341 105 64 298 333 264 272 253 27 314 317 53 39



65 years and over 12.6 12.3 13.3 13.6 13.2 14.8 10.4 9.9 11.9 13.1 9.4 17.9 14.1 13.3 12.7 13.9 12.3 14.2 12.1 11.5 14.0 16.1 10.0 10.0 27.8 12.8 12.7 10.5 9.4 12.5 9.7 9.1 14.7 13.2 18.6 13.8 17.9 11.9 13.0 16.2 14.5 12.6 12.9 12.5 11.1 13.6 17.0 11.3 17.0



Rank 171 184 125 111 130 62 283 306 208 139 327 17 85 125 162 90 188 82 196 225 87 34 299 301 2 154 161 281 324 173 317 332 64 135 16 97 18 204 146 32 70 170 152 176 246 110 27 237 26



Rank 252 109 64 105 190 312 22 321 294 104 28 180 267 308 191 141 29 84 164 178 162 258 266 187 152 306 355 138 356 229 217 7 166 249 351 214 318 123 225 307 129 251 133 82 304 246 284 343 354



Spartanburg, SC Spokane, WA . . Springfield, IL . . Springfield, MA . Springfield, MO . Springfield, OH .



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State College, PA . . . . . . . . . . . . . Stockton, CA . . . . . . . . . . . . . . . . Sumter, SC. . . . . . . . . . . . . . . . . . Syracuse, NY . . . . . . . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Terre Haute, IN . . . . . . . . . . Texarkana, TX-Texarkana, AR Toledo, OH . . . . . . . . . . . . . Topeka, KS. . . . . . . . . . . . . Trenton-Ewing, NJ . . . . . . . . Tucson, AZ . . . . . . . . . . . . . Tulsa, OK. . . . . . . Tuscaloosa, AL . . . Tyler, TX . . . . . . . Utica-Rome, NY . . Valdosta, GA. . . . . Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Vero Beach, FL . . . . . . . . . . . . . . . . . . . . . Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . Virginia Beach-Norfolk-Newport News, VA-NC. Visalia-Porterville, CA . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . Washington-Arlington-Alexandria, Waterloo-Cedar Falls, IA . . . . . . . . Wausau, WI . . . . . . . . . . . . . . . . Weirton-Steubenville, WV-OH. . . . . Wenatchee, WA . . . . . . . . . . . . . Wheeling, WV-OH . Wichita, KS. . . . . . Wichita Falls, TX . . Williamsport, PA . . Wilmington, NC . . . Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



........... DC-VA-MD-WV ........... ........... ........... ........... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Winston-Salem, NC . . . . . . . . Worcester, MA . . . . . . . . . . . Yakima, WA . . . . . . . . . . . . . York-Hanover, PA . . . . . . . . . Youngstown-Warren-Boardman, Yuba City, CA . . . . . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . .

1 2



...... ...... ...... ...... OH-PA . ...... ......



Persons of Hispanic origin may be any race. The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld Counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 3 The portion of Sullivan City in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA. Source: U.S. Census Bureau. See Tables B-3 and B-4 of the State and Metropolitan Area Data Book: 2006. For more information, see .



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–21



Table E-15. Metropolitan Area Rankings — Social and Housing Indicators

Birth rate, 2002 Metropolitan statistical area Rate per 1,000 persons4 Rank Abilene, TX. . . . . . . . . . . . . Akron, OH . . . . . . . . . . . . . Albany, GA . . . . . . . . . . . . . Albany-Schenectady-Troy, NY Albuquerque, NM. . . . . . . . . Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.3 12.1 14.1 11.2 14.9 14.4 11.7 11.4 15.6 11.4 15.0 12.2 12.6 12.6 13.1 13.9 11.7 13.1 16.3 13.7 12.0 14.2 16.7 17.6 13.0 10.2 8.7 14.3 13.4 11.8 13.3 11.2 11.9 13.1 10.6 13.6 12.1 9.6 10.8 13.5 16.5 12.9 13.3 13.4 12.4 13.3 24.5 13.1 11.3 13.4 11.2 11.8 11.3 13.3 13.3 13.5 11.9 12.4 14.0 15.6 12.1 12.5 14.5 15.1 10.9 14.2 17.8 13.0 12.5 12.9 14.7 15.6 12.8 13.3 14.6 13.7 15.0 15.6 122 275 137 321 97 117 297 302 60 303 86 269 246 242 204 149 295 200 47 154 277 127 36 27 215 342 359 123 178 292 180 316 287 197 335 161 271 354 329 166 40 217 185 175 260 179 4 198 313 177 318 293 308 188 187 167 282 255 139 64 272 250 113 79 328 128 25 205 254 225 102 63 229 186 108 157 84 61 Rate per 100,000 persons5 Rank 198 271 210 353 385 308 261 267 293 216 292 153 206 1,023 196 191 389 236 259 244 161 204 233 157 475 330 368 227 184 157 185 280 316 375 272 390 351 192 222 213 234 546 359 255 258 402 152 263 351 181 649 228 279 291 264 191 294 324 463 247 1,057 290 275 334 239 307 154 156 432 219 227 235 734 300 237 272 300 246 276 153 259 69 45 103 172 159 124 246 127 338 266 5 278 290 40 208 176 197 328 269 213 329 16 82 61 226 303 329 299 142 95 53 150 39 71 287 236 252 211 11 64 183 177 34 339 168 71 308 9 224 143 129 166 290 121 90 17 192 4 133 148 80 202 106 337 333 27 240 226 210 8 114 206 150 114 193 Physicians, 20031 Medicare program enrollment, 20032 Rate per 100,000 persons5 Rank 15,168 14,841 12,816 15,657 12,782 16,149 16,793 19,634 12,772 11,239 7,176 17,408 16,511 9,691 19,395 11,927 19,970 10,885 8,786 14,973 9,657 13,173 7,890 11,029 13,110 16,964 25,149 11,178 16,539 16,993 15,193 13,447 14,630 15,176 18,465 15,248 15,009 14,105 12,442 10,905 11,102 13,960 11,049 13,832 12,211 13,876 10,516 15,690 17,889 16,494 11,781 17,316 21,546 19,154 14,551 14,480 11,874 19,075 12,317 11,419 13,926 15,794 13,625 11,681 17,599 13,540 11,160 15,721 15,791 15,095 9,462 10,133 11,235 12,346 13,919 14,619 11,459 13,191 136 156 239 114 242 89 65 22 243 306 359 55 75 338 24 278 20 323 350 151 339 228 357 317 232 63 6 308 72 62 134 217 166 135 38 131 149 192 252 321 312 197 315 202 266 201 330 109 44 76 290 56 12 28 173 177 284 31 264 302 198 102 210 292 53 213 309 108 103 144 344 335 307 262 199 168 301 227 Social security program beneficiaries, December 2004 Rate per 100,000 persons5 Rank 17,455 16,746 15,402 17,793 14,939 18,211 19,306 20,005 14,376 12,291 8,959 20,391 20,772 11,303 22,342 14,138 22,877 12,985 10,618 17,108 12,657 16,205 9,343 13,187 14,884 19,592 27,632 13,599 19,615 20,469 18,061 15,761 18,025 17,094 21,311 18,192 16,682 16,264 14,831 12,301 13,182 15,211 9,944 16,368 13,921 15,234 12,235 19,475 20,268 19,071 13,790 18,850 24,734 18,872 16,743 16,801 13,035 22,318 14,852 13,529 15,680 18,661 14,937 13,128 20,088 15,500 13,793 19,410 17,394 18,369 10,849 11,805 13,119 14,925 16,273 17,799 13,035 15,459 141 177 224 129 239 109 70 58 260 326 358 48 44 337 24 272 20 308 344 159 319 201 357 299 242 64 5 288 63 46 114 214 117 161 37 110 183 199 245 325 300 232 354 193 277 231 328 67 52 78 285 89 11 87 179 174 306 25 244 292 216 94 240 302 56 220 284 68 146 104 341 334 303 241 198 127 306 221 Housing units, percent change 2000–20043 Housing units per square mile of land area, 2004 Homeownership rate, 2000 (percent)



Percent Rank 2.5 3.8 5.3 2.5 8.5 3.7 4.8 1.3 4.0 9.9 5.8 2.6 7.0 8.4 3.0 10.1 7.9 11.0 16.5 6.2 10.4 6.0 15.7 6.8 3.3 2.8 3.7 6.2 2.6 2.6 2.9 9.1 18.8 4.0 0.3 5.2 7.3 4.6 6.3 9.2 15.5 1.9 7.6 8.0 5.0 1.7 11.9 7.8 1.3 8.0 4.5 2.5 19.3 5.3 1.8 8.1 5.3 1.6 10.1 16.2 10.1 5.7 4.9 4.8 5.6 5.6 8.9 6.0 2.2 12.5 9.8 12.3 10.7 7.9 5.8 2.9 9.3 4.5 311 254 200 308 92 264 214 349 247 61 175 302 138 95 285 56 107 41 8 159 47 171 11 143 274 293 257 161 304 305 286 74 6 248 361 203 128 231 156 73 13 328 116 104 210 335 34 113 345 105 233 309 5 202 331 101 197 339 53 10 55 180 211 215 189 187 79 170 322 30 63 32 44 108 174 287 72 233



Number Rank 24.3 333.8 34.7 132.4 35.7 31.9 220.7 106.0 26.0 58.8 5.1 129.2 109.1 199.9 86.8 89.8 93.1 72.7 228.8 216.0 91.3 66.1 135.9 30.4 414.9 20.2 385.8 74.5 85.0 107.2 74.9 38.0 21.5 13.3 90.2 90.2 11.9 61.0 61.0 55.3 17.8 508.9 161.5 56.6 245.6 551.6 147.9 37.2 330.7 139.3 68.6 179.6 364.4 156.3 5.7 53.3 48.3 56.9 99.0 204.9 49.3 103.9 13.4 503.0 55.1 200.1 46.4 61.3 464.6 42.1 39.2 89.0 58.7 78.5 63.3 75.5 186.6 94.4 324 22 297 99 294 305 40 133 322 229 359 103 130 49 170 163 155 197 35 42 156 211 95 310 17 332 18 195 175 132 194 288 328 348 159 160 352 223 224 241 340 8 66 234 29 6 80 291 23 91 205 58 20 70 358 250 266 232 144 46 263 138 347 10 242 48 271 221 13 280 285 166 230 186 215 191 51 150



Percent 58.3 66.4 55.6 58.5 62.4 62.5 66.7 68.2 61.3 55.9 57.3 69.1 68.4 57.1 64.0 71.2 64.9 53.1 63.1 55.3 56.4 62.9 55.4 56.0 62.2 60.6 50.2 63.0 67.3 75.1 64.1 55.3 60.4 65.0 61.6 65.3 66.4 57.4 56.4 62.9 67.5 58.4 61.9 59.9 62.9 66.1 55.0 58.1 60.6 65.2 63.0 68.4 58.8 59.8 62.8 70.0 55.4 67.5 59.4 63.1 58.8 64.7 64.4 61.8 56.5 62.9 57.1 65.0 63.7 66.0 46.1 61.5 54.8 63.9 53.7 69.5 59.0 55.7



Rank 273 70 315 269 189 186 63 37 210 310 287 24 36 292 129 10 109 338 155 321 301 161 316 306 195 226 351 159 54 3 127 318 230 104 205 93 68 285 300 167 49 272 201 238 165 76 323 280 228 100 157 35 261 241 174 13 317 51 249 154 259 113 118 203 298 163 290 106 140 78 360 208 325 133 335 18 258 313



Allentown-Bethlehem-Easton, PA-NJ . Altoona, PA . . . . . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . . Anderson, IN . . . . . . . . . . . . . . . . Anderson, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . Anniston-Oxford, AL . . . . . Appleton, WI . . . . . . . . . . Asheville, NC . . . . . . . . . Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Atlanta-Sandy Springs-Marietta, GA Atlantic City, NJ . . . . . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . Augusta-Richmond County, GA-SC . Austin-Round Rock, TX. . . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Baltimore-Towson, MD Bangor, ME . . . . . . . Barnstable Town, MA . Baton Rouge, LA . . . . Battle Creek, MI . . . . Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Beaumont-Port Arthur, TX Bellingham, WA. . . . . . . Bend, OR . . . . . . . . . . . Billings, MT. . . . . . . . . . Binghamton, NY . . . . . . Birmingham-Hoover, AL .



Bismarck, ND . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA Bloomington, IN. . . . . . . . . . . . . . . . Bloomington-Normal, IL. . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . . Boston-Cambridge-Quincy, MA-NH . Boulder, CO6 . . . . . . . . . . . . . Bowling Green, KY. . . . . . . . . . Bremerton-Silverdale, WA . . . . . Bridgeport-Stamford-Norwalk, CT Brownsville-Harlingen, TX . . . . . Brunswick, GA . . . . . . . . . . . . Buffalo-Niagara Falls, NY . . . . Burlington, NC. . . . . . . . . . . . Burlington-South Burlington, VT Canton-Massillon, OH. . . . . . . Cape Coral-Fort Myers, FL . . . Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Casper, WY . . . . . . . . . . . . . . . . . Cedar Rapids, IA . . . . . . . . . . . . . . Champaign-Urbana, IL . . . . . . . . . . Charleston, WV . . . . . . . . . . . . . . . Charleston-North Charleston, SC . . . Charlotte-Gastonia-Concord, NC-SC . Charlottesville, VA . . . . . . . . . . . . . Chattanooga, TN-GA . . . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI . Chico, CA. . . . . . . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN . . . Clarksville, TN-KY . . . . . . . Cleveland, TN . . . . . . . . . . Cleveland-Elyria-Mentor, OH Coeur d’Alene, ID . . . . . . . College Station-Bryan, TX . . Colorado Springs, CO. . . . . Columbia, MO . . . . Columbia, SC . . . . Columbus, GA-AL . Columbus, IN . . . . Columbus, OH . . . Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



E–22



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table E-15. Metropolitan Area Rankings — Social and Housing Indicators—Con.

Birth rate, 2002 Metropolitan statistical area Rate per 1,000 persons4 Rank Corvallis, OR . . . . . . . . . . . Cumberland, MD-WV . . . . . . Dallas-Fort Worth-Arlington, Dalton, GA . . . . . . . . . . . . . Danville, IL . . . . . . . . . . . . . Danville, VA . . . . . . . . . . . . ... ... TX . ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.9 10.1 17.6 19.4 13.2 11.4 13.2 12.6 12.8 13.0 9.9 16.4 15.3 13.3 13.4 14.3 12.9 10.4 14.7 11.9 18.4 15.5 16.2 11.8 20.3 11.9 10.7 12.6 17.9 13.0 16.5 17.9 16.3 15.7 14.1 14.0 10.9 11.6 12.4 14.9 14.0 14.9 17.8 12.3 11.0 19.3 10.3 14.7 12.9 12.7 14.9 13.6 17.3 13.5 13.3 14.2 13.0 14.7 12.8 17.2 11.3 12.8 11.3 15.0 12.8 22.2 14.1 14.5 11.2 14.9 17.5 11.9 12.3 18.1 15.5 13.0 8.5 12.4 349 343 28 14 192 304 190 243 236 207 348 45 70 181 174 120 221 337 101 278 19 66 50 291 8 280 332 244 24 214 44 22 46 59 134 142 327 301 257 96 140 92 26 262 323 15 341 104 223 237 93 162 30 169 184 125 212 100 230 32 310 233 312 87 228 6 129 112 320 90 29 284 261 20 68 216 360 256 Rate per 100,000 persons5 Rank 347 233 221 162 192 179 203 288 147 257 213 330 221 291 258 169 261 297 1,108 317 93 206 146 306 193 220 271 265 243 344 148 209 188 267 225 248 193 183 252 179 272 257 216 211 812 223 227 175 283 293 239 307 157 224 224 582 264 269 196 104 369 231 378 328 200 85 140 389 326 168 291 330 237 210 386 1,294 271 130 73 213 237 325 287 312 270 137 344 180 252 82 237 129 177 320 172 118 3 94 360 266 346 110 284 239 153 163 198 75 342 262 295 159 230 191 284 305 187 312 150 180 246 257 6 234 226 315 141 124 202 106 329 231 231 10 166 158 278 358 60 217 52 87 272 361 349 40 89 321 129 82 206 259 43 2 153 352 Physicians, 20031 Medicare program enrollment, 20032 Rate per 100,000 persons5 Rank 10,929 20,076 8,716 12,445 19,030 19,913 15,740 15,668 15,422 18,124 22,335 9,721 12,651 13,662 15,585 13,488 16,700 17,860 11,579 14,871 12,641 13,425 12,270 18,520 11,262 16,182 15,520 16,244 6,140 11,876 10,527 10,088 13,396 11,725 14,812 15,265 18,923 16,466 10,708 16,146 15,029 13,106 11,118 19,175 12,422 11,047 17,244 15,664 13,402 17,304 12,147 16,587 9,147 12,790 14,551 12,371 14,553 14,927 14,839 8,240 15,879 12,439 15,310 13,907 15,303 5,841 11,835 14,188 25,361 13,409 8,522 19,379 13,048 11,939 11,907 10,310 11,070 15,050 320 18 352 251 32 21 105 110 123 43 8 337 248 209 117 216 69 45 296 154 249 218 265 37 305 87 119 85 360 282 329 336 222 291 161 130 34 77 327 90 148 233 311 27 256 316 59 112 221 57 270 71 347 241 173 261 172 152 157 356 97 253 127 200 128 361 287 187 5 219 354 25 236 277 281 333 313 146 Social security program beneficiaries, December 2004 Rate per 100,000 persons5 Rank 13,384 21,397 10,181 15,019 21,409 23,967 18,140 17,413 18,937 20,349 25,476 11,106 14,537 15,888 21,197 16,884 18,961 19,942 13,839 17,153 14,739 15,575 14,290 21,488 12,659 18,558 17,910 18,901 7,973 13,230 12,956 12,654 16,162 11,079 17,557 17,925 22,872 17,454 12,291 19,785 16,833 15,413 12,379 23,531 13,847 13,498 20,123 18,516 14,940 19,254 14,481 18,871 11,009 15,193 17,035 14,947 17,254 17,674 17,264 10,068 17,240 15,583 17,157 17,012 18,678 7,945 13,679 15,305 26,992 17,096 10,066 21,415 15,123 14,666 14,074 11,947 12,867 17,705 294 36 350 236 35 15 111 145 84 49 9 338 256 211 39 169 83 59 282 157 248 218 266 32 318 99 122 85 360 298 309 321 204 339 139 121 21 142 326 60 173 223 323 18 281 293 55 100 238 74 258 88 340 233 163 237 153 133 151 352 154 217 156 165 92 361 286 227 7 160 353 34 235 251 274 332 311 131 Housing units, percent change 2000–20043 Housing units per square mile of land area, 2004 Homeownership rate, 2000 (percent)



Percent Rank 6.2 1.5 10.2 8.4 1.0 2.4 2.3 2.8 3.7 2.3 8.9 12.8 10.3 3.7 4.3 11.5 5.1 3.0 11.5 8.3 8.8 7.5 7.5 0.8 7.2 1.7 3.9 4.8 1.5 9.6 2.6 6.8 13.1 7.1 5.4 2.6 3.2 4.7 13.3 4.0 8.2 6.1 5.7 3.1 7.8 15.3 3.4 4.6 2.8 11.9 5.6 1.0 25.6 8.8 7.9 11.7 7.0 8.5 10.0 7.3 3.7 6.7 2.4 3.7 6.0 5.8 10.0 3.1 2.6 4.6 10.5 1.1 6.6 9.4 9.9 10.4 3.6 5.5 160 342 52 93 354 316 317 290 260 318 81 28 51 256 238 37 206 282 38 96 82 117 120 356 132 333 252 217 343 66 300 145 27 136 192 303 277 224 25 250 99 164 185 279 111 14 270 226 291 33 186 355 1 83 109 36 140 91 58 130 263 148 315 259 165 176 57 280 306 227 46 353 149 69 59 49 266 191



Number Rank 50.2 60.8 244.9 77.0 40.8 51.6 71.5 219.4 50.7 88.5 209.1 118.3 76.4 476.3 36.3 95.5 61.4 15.9 113.7 39.6 11.4 52.5 161.7 93.2 237.5 145.0 31.7 67.6 4.6 28.7 8.0 133.9 51.5 3.1 302.7 60.9 53.4 56.9 45.9 30.0 90.9 126.4 48.0 88.6 89.0 149.5 37.4 89.6 12.5 16.4 109.5 13.2 20.8 68.8 148.1 80.1 127.8 76.6 102.5 28.2 138.1 50.3 319.0 32.5 93.8 30.1 168.9 543.2 68.1 33.5 222.6 75.1 114.3 13.6 183.5 50.7 84.1 93.9 262 226 30 187 282 253 201 41 259 169 43 115 190 12 292 149 220 344 118 284 354 251 65 154 32 82 306 210 360 314 357 97 255 361 25 225 249 233 273 312 158 109 267 168 165 76 290 164 351 343 128 349 330 204 79 181 106 188 141 315 92 261 24 304 153 311 63 7 207 299 39 193 117 346 53 260 177 152



Percent 54.0 64.3 56.7 65.8 66.0 62.1 67.7 62.4 69.1 66.4 65.6 64.0 67.3 68.6 64.7 65.5 69.7 64.9 55.3 65.4 52.3 62.7 68.5 64.0 59.5 64.5 58.4 66.5 48.3 56.1 65.7 55.2 60.9 46.5 67.7 67.2 66.4 68.6 62.4 63.8 55.9 67.5 52.8 67.4 51.9 66.0 56.2 58.8 54.6 68.8 67.9 59.9 65.6 63.4 62.4 54.0 63.9 58.6 63.5 52.6 65.0 60.7 62.7 61.6 68.7 46.5 76.0 49.4 59.9 69.6 56.1 65.5 65.2 72.0 62.4 57.1 50.7 70.7



Rank 333 121 295 83 80 198 45 193 23 67 88 130 55 33 114 90 15 108 319 92 344 177 34 128 247 117 271 65 356 303 86 322 219 359 44 57 69 32 191 137 309 52 341 53 347 79 302 260 327 27 41 237 87 147 187 332 134 267 145 342 105 222 180 206 30 358 2 353 239 17 305 89 102 6 190 291 348 11



Davenport-Moline-Rock Island, IA-IL . . . . . Dayton, OH . . . . . . . . . . . . . . . . . . . . . Decatur, AL . . . . . . . . . . . . . . . . . . . . . Decatur, IL . . . . . . . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, FL Denver-Aurora, CO6 . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . . . . Detroit-Warren-Livonia, MI. Dothan, AL . . . . . . . . . . . . Dover, DE . . . . . . . . . . . . Dubuque, IA . . . . . . . . . . . Duluth, MN-WI . . . . . . . . . Durham, NC . . . . . Eau Claire, WI. . . . El Centro, CA . . . . Elizabethtown, KY . Elkhart-Goshen, IN. Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



El Paso, TX . . . . . . . . Erie, PA . . . . . . . . . . . Eugene-Springfield, OR Evansville, IN-KY . . . . . Fairbanks, AK . . . . . . . Fargo, ND-MN. . . . . . .



Farmington, NM. . . . . . . . . . . . . . . . . Fayetteville, NC . . . . . . . . . . . . . . . . . Fayetteville-Springdale-Rogers, AR-MO . Flagstaff, AZ . . . . . . . . . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . . Florence, SC. . . . . . . . . . . . . . . . . . . Florence-Muscle Shoals, AL. . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL Fort Wayne, IN . . . . . . . . . . . . . . . . . Fresno, CA . . . . Gadsden, AL. . . Gainesville, FL . Gainesville, GA . Glens Falls, NY . Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Grand Forks, ND-MN . . . . . Grand Junction, CO . . . . . . Grand Rapids-Wyoming, MI . Great Falls, MT . . . . . . . . . Greeley, CO6 . . . . . . . . . . Green Bay, WI . . . . . . . . .



Greensboro-High Point, NC . . . . . Greenville, NC. . . . . . . . . . . . . . Greenville, SC. . . . . . . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . . Hagerstown-Martinsburg, MD-WV . Hanford-Corcoran, CA . . . . . . . .



Harrisburg-Carlisle, PA . . . . . . . . . . . . . Harrisonburg, VA . . . . . . . . . . . . . . . . . Hartford-West Hartford-East Hartford, CT . Hattiesburg, MS. . . . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . . Holland-Grand Haven, MI . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . Hot Springs, AR. . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA Houston-Sugar Land-Baytown, TX . Huntington-Ashland, WV-KY-OH . . . Huntsville, AL . . Idaho Falls, ID. . Indianapolis, IN . Iowa City, IA . . . Ithaca, NY . . . . Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–23



Table E-15. Metropolitan Area Rankings — Social and Housing Indicators—Con.

Birth rate, 2002 Metropolitan statistical area Rate per 1,000 persons4 Rank Jackson, MS . . . . . Jackson, TN . . . . . Jacksonville, FL. . . Jacksonville, NC . . Janesville, WI . . . . Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.8 13.7 13.9 20.8 12.8 12.5 11.2 9.7 14.1 15.2 12.8 15.0 15.1 16.5 20.0 10.6 9.9 11.9 13.2 11.3 12.8 15.1 14.6 13.6 14.1 12.6 28.7 17.2 15.7 11.9 17.0 12.6 12.1 11.9 13.5 13.7 14.6 14.5 23.5 15.3 13.1 15.4 13.3 15.9 11.3 14.6 16.7 12.5 12.9 11.9 25.6 11.3 15.5 17.9 13.1 12.4 15.8 13.9 14.6 11.4 14.6 16.5 15.1 11.9 14.4 11.0 12.9 13.0 10.9 13.4 12.3 12.0 13.1 14.3 12.2 14.1 14.0 12.5 98 155 147 7 235 251 319 352 131 72 227 85 82 43 11 336 347 283 191 314 232 80 106 158 133 247 1 31 56 286 33 245 273 281 163 153 111 114 5 71 195 69 183 53 311 107 37 252 226 278 3 309 65 23 199 259 55 146 110 305 109 41 81 285 118 324 219 206 325 173 263 276 203 119 268 132 145 253 Rate per 100,000 persons5 Rank 417 385 313 165 215 139 458 287 262 181 331 174 285 185 316 278 207 358 185 448 231 290 210 187 188 236 106 174 196 216 213 245 245 266 520 258 265 441 156 190 224 307 340 411 211 362 112 510 240 184 119 316 297 111 343 185 188 374 305 400 292 183 260 94 217 743 151 271 305 157 199 426 387 371 524 460 448 196 29 45 100 323 251 350 20 139 169 308 81 317 140 299 95 145 264 65 299 22 217 133 259 298 295 208 357 317 278 246 252 194 194 162 13 177 163 24 333 292 231 106 78 30 257 63 355 14 200 303 354 95 118 356 76 299 295 54 111 37 127 305 174 359 242 7 340 153 111 329 274 28 42 57 12 19 22 278 Physicians, 20031 Medicare program enrollment, 20032 Rate per 100,000 persons5 Rank 13,062 14,429 12,652 8,741 14,683 13,623 17,692 21,956 15,212 16,266 13,702 15,636 12,897 10,746 9,494 20,015 15,322 15,864 16,103 14,656 11,064 11,652 14,223 18,324 15,130 12,195 8,617 12,142 11,572 9,377 11,972 17,735 19,411 17,659 12,153 15,736 11,914 13,383 8,374 16,688 16,236 10,443 14,606 12,415 18,397 14,827 14,279 11,528 12,177 17,105 9,194 17,816 11,800 9,083 15,404 15,129 12,335 14,131 10,724 11,840 14,832 11,844 14,037 13,154 14,065 13,239 17,729 15,984 15,732 16,112 16,031 16,725 18,928 11,875 15,664 13,610 13,539 17,828 235 180 247 351 163 211 50 9 133 83 208 115 238 325 341 19 126 98 92 165 314 293 185 42 140 267 353 271 297 345 275 48 23 51 269 106 280 223 355 70 86 331 169 257 40 159 182 299 268 60 346 47 289 348 124 141 263 190 326 286 158 285 194 229 193 226 49 95 107 91 94 68 33 283 112 212 214 46 Social security program beneficiaries, December 2004 Rate per 100,000 persons5 Rank 15,906 17,292 14,853 10,607 17,418 16,590 21,029 24,210 18,497 19,266 16,344 17,875 14,826 12,775 11,305 24,198 18,255 18,595 19,503 16,525 13,257 14,211 16,918 22,017 17,227 14,379 9,922 13,963 13,899 10,708 14,320 20,300 22,549 20,218 14,363 18,331 13,368 16,519 9,869 18,664 19,748 10,580 17,013 14,316 20,465 17,540 14,327 13,085 14,345 19,243 10,845 20,705 14,245 12,200 16,644 17,903 14,647 16,032 12,197 13,546 18,240 13,619 16,221 16,044 16,883 15,735 20,999 18,468 18,602 19,338 21,572 16,740 21,697 14,158 17,359 16,025 14,577 19,760 210 150 243 345 144 187 41 13 101 73 194 125 246 316 336 14 106 98 66 188 297 270 167 27 155 259 355 276 278 343 264 51 23 53 261 105 296 190 356 93 62 346 164 265 47 140 263 304 262 75 342 45 268 329 185 123 254 207 330 290 107 287 200 206 170 215 42 102 97 69 31 180 28 271 149 208 255 61 Housing units, percent change 2000–20043 Housing units per square mile of land area, 2004 Homeownership rate, 2000 (percent)



Percent Rank 6.2 7.0 11.0 8.3 5.4 6.0 4.2 0.4 5.1 4.8 5.7 4.3 7.1 9.4 9.0 3.9 2.8 6.1 3.7 4.7 9.0 5.9 6.2 9.0 4.7 5.7 13.8 8.0 22.1 9.4 1.2 4.7 1.9 2.7 8.4 1.4 6.8 6.3 10.6 2.5 4.2 2.1 6.5 7.3 5.4 5.5 8.7 9.5 5.0 3.1 15.7 8.7 7.8 9.9 6.7 3.4 2.0 3.1 8.2 7.3 4.6 8.7 3.2 9.9 4.6 2.2 5.7 7.1 2.8 5.1 15.2 5.7 20.8 9.4 1.3 2.6 2.1 2.7 158 141 42 98 196 167 245 358 204 213 184 240 134 70 77 251 292 163 261 220 75 172 162 78 218 177 24 106 3 68 351 222 329 297 94 344 144 157 45 310 242 325 153 127 193 190 85 67 209 281 12 87 112 62 147 271 327 278 100 126 228 86 276 60 230 319 178 135 294 205 15 179 4 71 346 301 326 295



Number Rank 56.0 56.2 163.7 78.7 90.9 26.7 100.0 96.0 33.1 55.8 120.0 62.6 104.7 26.7 47.1 70.4 70.9 157.8 83.3 53.5 60.4 103.2 36.2 131.6 198.6 112.6 18.7 18.5 86.4 96.4 43.0 142.7 17.4 100.4 128.5 110.9 83.6 68.1 19.9 46.6 35.4 892.6 126.8 61.9 48.7 57.5 20.6 85.1 179.7 110.1 141.9 29.5 113.4 38.9 447.7 78.8 54.4 436.8 208.8 17.1 140.1 109.7 49.3 112.6 55.5 50.8 79.4 26.4 133.3 141.6 124.0 68.1 86.2 104.5 569.8 178.5 1,076.3 132.1 238 236 64 185 157 319 143 147 301 239 113 216 135 318 269 203 202 69 179 248 227 139 293 101 50 121 336 338 171 146 279 86 341 142 104 124 178 208 333 270 295 2 108 218 265 231 331 173 57 125 87 313 119 286 14 184 245 15 44 342 90 127 264 120 240 258 183 320 98 88 111 206 172 137 5 59 1 100



Percent 64.2 63.5 61.5 50.2 67.1 66.3 65.3 68.8 59.2 64.0 62.9 65.3 63.8 64.0 51.9 69.2 59.1 64.3 67.8 64.4 56.1 62.9 64.1 60.7 67.9 63.8 60.4 61.6 54.1 49.6 52.9 68.7 63.7 58.0 56.0 66.2 58.1 61.3 62.6 64.2 62.8 48.9 65.3 54.4 68.0 59.1 59.3 57.3 62.6 66.8 59.5 62.8 61.5 54.8 58.5 67.7 61.8 58.1 70.4 57.6 62.6 59.6 60.0 77.1 62.7 59.8 69.1 63.5 62.1 71.8 48.9 60.9 53.8 62.7 59.1 55.9 47.8 62.5



Rank 124 144 209 350 59 73 96 28 253 132 168 97 138 131 346 22 255 120 43 119 304 169 126 225 42 139 231 204 331 352 340 31 141 281 308 74 278 211 181 123 172 354 95 328 39 256 252 286 184 62 248 171 207 324 268 47 202 279 12 284 182 245 236 1 179 240 25 146 197 8 355 218 334 178 257 311 357 185



Johnson City, TN . . . . . Johnstown, PA . . . . . . Jonesboro, AR . . . . . . Joplin, MO . . . . . . . . . Kalamazoo-Portage, MI Kankakee-Bradley, IL . .



Kansas City, MO-KS. . . . . . . . . Kennewick-Richland-Pasco, WA . Killeen-Temple-Fort Hood, TX . . Kingsport-Bristol-Bristol, TN-VA . Kingston, NY. . . . . . . . . . . . . . Knoxville, TN . . . . . . . . . . . . . Kokomo, IN . . . . . La Crosse, WI-MN . Lafayette, IN . . . . . Lafayette, LA . . . . Lake Charles, LA . . Lakeland, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Lancaster, PA . . . . . . . . Lansing-East Lansing, MI Laredo, TX . . . . . . . . . . Las Cruces, NM . . . . . . Las Vegas-Paradise, NV . Lawrence, KS . . . . . . . . Lawton, OK . . . . . . . Lebanon, PA . . . . . . . Lewiston, ID-WA . . . . Lewiston-Auburn, ME . Lexington-Fayette, KY Lima, OH . . . . . . . . . . . . . . . . . . . . .



Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . Little Rock-North Little Rock, AR. . . . . . . . Logan, UT-ID . . . . . . . . . . . . . . . . . . . . Longview, TX . . . . . . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA Louisville, KY-IN7 . Lubbock, TX . . . . Lynchburg, VA. . . Macon, GA . . . . . Madera, CA . . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Manchester-Nashua, NH . . . . Mansfield, OH . . . . . . . . . . . McAllen-Edinburg-Mission, TX Medford, OR . . . . . . . . . . . . Memphis, TN-MS-AR . . . . . . Merced, CA . . . . . . . . . . . .



Miami-Fort Lauderdale-Miami Beach, FL . Michigan City-La Porte, IN. . . . . . . . . . . . Midland, TX . . . . . . . . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . . Minneapolis-St. Paul-Bloomington, MN-WI . Missoula, MT . . . . . . . . . . . . . . . . . . . . Mobile, AL . . . . . Modesto, CA. . . . Monroe, LA . . . . Monroe, MI . . . . . Montgomery, AL . Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Morristown, TN . . . . . . . . . . . . . . . . . . . . . Mount Vernon-Anacortes, WA . . . . . . . . . . . Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . Muskegon-Norton Shores, MI. . . . . . . . . . . . Myrtle Beach-Conway-North Myrtle Beach, SC Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . .



Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . Nashville-Davidson-Murfreesboro, TN . . . . . . . . . . . . . . New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . New York-Northern New Jersey-Long Island, NY-NJ-PA Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table.



E–24



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table E-15. Metropolitan Area Rankings — Social and Housing Indicators—Con.

Birth rate, 2002 Metropolitan statistical area Rate per 1,000 persons4 Rank Norwich-New London, CT Ocala, FL . . . . . . . . . . . Ocean City, NJ . . . . . . . Odessa, TX . . . . . . . . . Ogden-Clearfield, UT . . . Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.6 10.7 10.0 18.6 20.1 15.1 11.2 16.1 13.8 11.6 13.5 14.9 9.7 13.1 11.3 14.1 12.8 13.2 13.0 17.0 13.7 10.4 9.3 18.5 10.9 13.9 10.3 12.9 10.7 12.1 26.9 14.0 6.6 13.3 15.9 15.5 12.4 11.4 14.7 13.2 16.1 11.1 14.9 11.8 14.1 13.5 14.7 14.0 12.7 13.4 19.9 12.3 13.0 14.5 16.8 12.7 20.1 15.2 16.5 15.2 11.7 13.5 16.2 9.4 14.2 13.9 12.1 12.2 10.0 15.1 9.6 12.9 12.2 13.5 14.8 16.2 15.7 13.5 159 333 345 16 10 76 317 51 152 299 168 95 351 196 307 130 234 193 207 34 156 338 356 18 326 150 339 218 330 270 2 143 361 182 54 67 258 305 103 194 52 322 89 289 136 165 105 144 241 176 12 264 212 115 35 239 9 75 42 74 298 164 48 355 126 148 274 267 344 77 353 220 266 172 99 49 57 170 Rate per 100,000 persons5 Rank 276 190 155 207 163 288 289 371 231 289 198 239 243 229 194 216 293 299 401 239 173 384 402 217 373 343 240 251 228 307 147 279 278 195 229 312 203 294 314 357 175 398 1,720 386 257 162 365 290 267 252 189 150 330 199 232 308 352 217 330 347 179 441 382 323 328 294 405 316 371 322 254 373 181 216 453 200 384 232 147 292 336 264 324 137 135 57 217 135 276 202 198 221 283 246 124 117 36 202 319 47 34 242 55 76 200 189 224 106 344 143 145 282 221 102 270 121 99 67 315 38 1 43 180 325 62 132 159 187 294 341 82 274 215 103 70 242 82 73 312 24 50 91 87 121 32 95 57 92 185 55 308 246 21 272 47 215 Physicians, 20031 Medicare program enrollment, 20032 Rate per 100,000 persons5 Rank 14,854 25,848 21,853 12,953 9,491 12,385 13,375 12,380 13,784 14,179 16,894 11,534 20,460 16,438 18,430 13,268 15,131 16,336 14,582 11,603 15,128 19,117 20,093 12,439 15,438 11,481 22,667 13,063 21,152 16,091 7,197 17,424 27,140 14,822 9,579 14,212 15,860 19,242 12,094 13,116 10,952 17,276 12,551 15,245 14,115 16,265 16,282 12,436 16,278 12,733 15,521 16,180 14,550 14,035 10,557 14,587 8,811 15,513 11,920 11,997 17,633 12,676 10,274 15,849 13,964 11,148 12,410 13,718 25,474 13,150 20,855 11,270 15,515 16,531 14,622 14,980 12,809 15,033 155 3 10 237 342 259 224 260 204 188 64 298 15 78 39 225 139 79 171 295 142 30 17 253 122 300 7 234 13 93 358 54 2 160 340 186 99 26 272 231 318 58 250 132 191 84 81 255 82 244 118 88 175 195 328 170 349 121 279 273 52 245 334 100 196 310 258 207 4 230 14 304 120 73 167 150 240 147 Social security program beneficiaries, December 2004 Rate per 100,000 persons5 Rank 16,717 30,007 24,812 15,142 10,449 14,650 15,912 14,036 15,771 16,641 20,142 12,811 23,813 19,182 21,125 17,881 18,238 18,637 16,445 13,864 17,620 21,456 22,714 13,573 17,668 13,146 26,758 15,303 27,027 18,131 8,617 18,898 34,104 16,896 11,381 16,746 18,384 22,072 14,282 15,514 12,717 20,059 14,727 17,798 16,782 19,001 19,572 13,534 19,298 14,130 18,708 18,787 16,773 16,167 11,937 16,996 10,305 17,641 13,885 12,881 19,138 12,808 10,407 17,776 15,270 12,369 14,496 15,246 27,674 15,331 23,737 12,600 17,630 18,618 16,714 16,520 14,823 17,261 181 3 10 234 347 253 209 275 213 186 54 314 16 76 40 124 108 95 192 280 137 33 22 289 134 301 8 228 6 112 359 86 1 168 335 177 103 26 267 219 317 57 249 128 175 79 65 291 71 273 91 90 176 202 333 166 349 135 279 310 77 315 348 130 229 324 257 230 4 226 17 322 136 96 182 189 247 152 Housing units, percent change 2000–20043 Housing units per square mile of land area, 2004 Homeownership rate, 2000 (percent)



Percent Rank 2.7 14.4 5.9 2.2 11.1 5.4 7.4 7.2 15.1 7.0 7.4 5.0 9.7 9.7 1.5 6.9 7.5 3.4 2.7 14.8 2.5 1.7 1.3 3.6 5.3 6.8 14.7 4.8 14.1 1.7 16.9 8.6 10.3 4.4 16.3 6.6 4.6 6.5 13.2 7.3 10.1 4.7 12.6 2.2 5.7 5.7 5.3 11.1 2.9 10.4 23.1 2.4 4.4 5.3 3.7 7.7 7.5 2.4 8.1 5.7 2.5 3.0 3.8 7.4 3.4 2.2 4.5 4.7 11.0 8.6 1.2 6.6 5.1 3.5 4.0 1.9 12.4 4.2 296 20 173 323 40 194 123 133 16 139 121 208 64 65 341 142 118 272 298 18 312 336 347 265 201 146 19 212 22 334 7 90 50 235 9 150 229 155 26 129 54 219 29 320 181 183 199 39 289 48 2 313 236 198 261 114 119 314 102 182 307 284 255 125 268 321 232 225 43 89 350 151 207 267 249 330 31 244



Number Rank 170.7 88.9 377.8 56.1 109.4 90.2 128.0 76.6 225.4 157.9 55.1 143.2 239.3 112.6 55.0 52.5 111.2 64.1 506.0 104.8 21.6 207.7 72.1 13.1 118.1 126.3 159.3 148.3 11.5 417.3 23.2 26.8 126.8 234.2 181.1 8.1 183.0 19.4 24.9 85.0 47.9 72.4 45.3 149.0 172.6 61.7 75.1 155.9 108.8 40.1 18.5 31.2 136.8 72.6 41.1 68.0 38.6 17.8 95.5 261.7 144.5 669.1 230.7 33.2 54.0 226.9 31.6 121.6 271.1 97.9 146.5 227.0 94.0 53.6 64.0 28.0 33.0 143.7 62 167 19 237 129 161 105 189 38 68 243 85 31 122 244 252 123 213 9 134 327 45 200 350 116 110 67 78 353 16 326 317 107 33 56 356 54 334 323 174 268 199 275 77 61 219 192 71 131 283 337 308 93 198 281 209 287 339 148 27 83 3 34 300 246 37 307 112 26 145 81 36 151 247 214 316 302 84



Percent 60.1 69.4 34.4 60.8 72.4 59.3 62.7 63.2 60.6 64.2 67.2 65.3 66.6 52.1 67.6 69.9 63.2 68.1 65.5 61.0 60.6 66.0 56.5 66.1 58.5 59.3 66.5 63.6 63.0 56.6 64.2 65.2 67.0 66.9 63.0 61.1 69.7 61.0 54.6 64.6 58.1 65.1 74.6 63.2 67.1 58.7 62.1 57.0 69.5 68.8 60.7 64.5 66.3 60.1 50.3 61.2 64.7 57.7 59.8 53.0 63.6 53.5 58.7 55.7 53.6 55.3 62.4 60.3 62.8 58.3 62.8 59.2 67.7 62.6 59.7 65.3 64.8 67.5



Rank 234 21 361 220 5 250 176 151 227 122 56 94 64 345 48 14 149 38 91 216 229 81 297 77 270 251 66 143 156 296 125 101 60 61 158 215 16 217 326 115 277 103 4 152 58 264 196 293 20 26 223 116 72 235 349 213 112 283 242 339 142 337 266 314 336 320 192 232 170 273 173 254 46 183 243 98 111 50



Olympia, WA. . . . . . . . . . . . . . . . . Omaha-Council Bluffs, NE-IA . . . . . . Orlando-Kissimee, FL . . . . . . . . . . . Oshkosh-Neenah, WI . . . . . . . . . . . Owensboro, KY . . . . . . . . . . . . . . . Oxnard-Thousand Oaks-Ventura, CA. Palm Bay-Melbourne-Titusville, FL . . Panama City-Lynn Haven, FL . . . . . Parkersburg-Marietta-Vienna, WV-OH Pascagoula, MS . . . . . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Peoria, IL . . . . . . . . . . . . . . . . . . . Philadelphia-Camden-Wilmington, Phoenix-Mesa-Scottsdale, AZ . . . . Pine Bluff, AR . . . . . . . . . . . . . . . Pittsburgh, PA . . . . . . . . . . . . . . . Pittsfield, MA. . . . . . . . . . . . . . . . Pocatello, ID . . . . . . . . . . . . . . . .



PA-NJ-DE-MD . ........... ........... ........... ........... ........... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Portland-South Portland-Biddeford, ME . . . Portland-Vancouver-Beaverton, OR-WA . . . Port St. Lucie-Fort Pierce, FL. . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA. Provo-Orem, UT . Pueblo, CO. . . . . Punta Gorda, FL . Racine, WI . . . . . Raleigh-Cary, NC. Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Reading, PA . . . . . . . . . . . . . . . . . . Redding, CA . . . . . . . . . . . . . . . . . . Reno-Sparks, NV. . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . . . . . . Riverside-San Bernardino-Ontario, CA . Roanoke, VA. . . . . . . . . . . . . . . . . .



Rochester, MN . . . . . . . . . . . . . . . . . . Rochester, NY. . . . . . . . . . . . . . . . . . . Rockford, IL . . . . . . . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . Rome, GA . . . . . . . . . . . . . . . . . . . . . Sacramento-Arden-Arcade-Roseville, CA . Saginaw-Saginaw Township North, St. Cloud, MN . . . . . . . . . . . . . . St. George, UT . . . . . . . . . . . . . St. Joseph, MO-KS . . . . . . . . . . St. Louis, MO-IL8 . . . . . . . . . . . . Salem, OR . . . . . . . . . . . . . . . . MI . ... ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Salinas, CA . . . . . . . . . . . . . . . . . Salisbury, MD . . . . . . . . . . . . . . . . Salt Lake City, UT . . . . . . . . . . . . . San Angelo, TX . . . . . . . . . . . . . . . San Antonio, TX . . . . . . . . . . . . . . San Diego-Carlsbad-San Marcos, CA



Sandusky, OH . . . . . . . . . . . . . . . . . San Francisco-Oakland-Fremont, CA San Jose-Sunnyvale-Santa Clara, CA . San Luis Obispo-Paso Robles, CA . . . Santa Barbara-Santa Maria, CA . . . . . Santa Cruz-Watsonville, CA. . . . . . . . Santa Fe, NM . . . . . . . . . . . . Santa Rosa-Petaluma, CA. . . . Sarasota-Bradenton-Venice, FL Savannah, GA . . . . . . . . . . . Scranton-Wilkes-Barre, PA . . . Seattle-Tacoma-Bellevue, WA Sheboygan, WI . . . . . . . . . . . Sherman-Denison, TX . . . . . . Shreveport-Bossier City, LA . . . Sioux City, IA-NE-SD . . . . . . . Sioux Falls, SD . . . . . . . . . . . South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–25



Table E-15. Metropolitan Area Rankings — Social and Housing Indicators—Con.

Birth rate, 2002 Metropolitan statistical area Rate per 1,000 persons4 Rank Spartanburg, SC Spokane, WA . . Springfield, IL . . Springfield, MA . Springfield, MO . Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.2 13.0 12.7 11.2 13.0 12.7 9.1 16.6 15.0 11.8 12.5 11.7 12.6 13.1 12.9 14.0 12.9 14.2 14.9 13.0 15.2 10.6 14.9 14.3 9.0 15.6 14.1 14.4 19.5 15.1 13.8 15.1 12.2 11.9 10.0 13.5 9.9 15.7 14.0 10.7 11.6 12.8 13.6 13.1 18.0 11.7 10.3 16.5 18.6 189 209 240 315 210 238 357 38 88 290 249 296 248 202 222 138 223 124 91 211 73 334 94 121 358 62 135 116 13 78 151 83 265 288 346 171 350 58 141 331 300 231 160 201 21 294 340 39 17 Rate per 100,000 persons5 Rank 234 322 505 313 254 166 229 162 148 384 245 295 209 265 335 249 411 379 212 262 404 223 180 212 358 217 145 300 135 231 156 440 206 262 142 274 271 260 255 226 308 304 462 355 193 192 219 183 128 211 92 15 100 185 322 221 325 342 47 194 120 262 163 79 190 30 51 255 169 33 234 311 255 65 242 347 114 351 217 333 26 266 169 348 149 153 174 183 229 103 113 18 68 284 287 240 305 353 Physicians, 20031 Medicare program enrollment, 20032 Rate per 100,000 persons5 Rank 15,891 14,288 15,300 15,841 15,665 17,066 11,609 11,285 13,720 15,631 10,831 18,542 16,763 15,332 14,672 16,300 14,472 15,102 13,796 14,508 15,751 18,888 11,971 10,435 27,154 14,279 15,150 11,835 10,898 14,150 10,949 9,473 16,521 13,756 21,692 15,069 20,190 13,405 14,809 18,363 16,785 14,279 15,165 14,461 12,655 14,902 19,122 13,515 11,987 96 181 129 101 111 61 294 303 206 116 324 36 67 125 164 80 178 143 203 176 104 35 276 332 1 182 138 287 322 189 319 343 74 205 11 145 16 220 162 41 66 182 137 179 246 153 29 215 274 Social security program beneficiaries, December 2004 Rate per 100,000 persons5 Rank 18,980 16,167 17,927 17,827 18,060 18,988 13,371 12,847 16,661 18,115 12,828 21,217 19,268 17,685 16,342 18,036 15,774 17,142 16,307 18,003 17,930 21,614 14,666 12,006 30,217 16,881 17,361 13,799 13,071 16,146 12,655 10,081 18,966 16,485 24,280 17,368 23,237 15,384 16,871 20,809 20,329 17,063 17,426 16,304 14,707 17,605 21,611 15,445 14,241 81 202 120 126 115 80 295 312 184 113 313 38 72 132 195 116 212 158 196 118 119 29 251 331 2 171 148 283 305 205 320 351 82 191 12 147 19 225 172 43 50 162 143 197 250 138 30 222 269 Housing units, percent change 2000–20043 Housing units per square mile of land area, 2004 Homeownership rate, 2000 (percent)



Percent Rank 7.2 5.4 3.7 1.3 8.9 1.2 6.0 11.9 4.1 1.7 8.6 7.9 2.9 4.4 3.3 4.3 3.2 8.3 4.7 6.6 4.7 0.4 7.4 7.1 14.3 3.0 1.7 5.6 6.0 4.2 15.0 7.6 3.9 8.1 0.7 4.3 0.4 4.8 2.7 1.8 14.0 9.0 7.4 3.4 2.2 6.0 1.6 6.5 8.7 131 195 258 348 80 352 166 35 246 337 88 110 288 237 273 239 275 97 221 152 223 358 124 137 21 283 338 187 169 243 17 115 253 103 357 241 360 216 298 332 23 76 122 269 324 168 340 154 84



Number Rank 141.5 104.6 79.6 151.4 56.6 154.6 50.9 151.3 65.3 118.3 62.2 483.2 50.9 37.4 182.1 31.0 608.9 43.2 61.0 34.4 80.8 51.6 32.5 173.7 131.5 21.3 109.8 250.3 26.3 84.8 135.9 361.4 45.7 35.2 102.5 9.5 73.1 60.2 24.2 43.3 90.0 46.1 134.5 203.8 18.8 183.7 153.1 44.0 14.6 89 136 182 74 235 72 257 75 212 114 217 11 256 289 55 309 4 278 222 298 180 254 303 60 102 329 126 28 321 176 94 21 274 296 140 355 196 228 325 277 162 272 96 47 335 52 73 276 345



Percent 65.8 61.2 65.0 59.5 62.9 66.3 55.8 58.0 62.8 60.7 57.3 62.4 65.3 62.9 62.0 65.9 63.3 58.2 62.1 58.2 63.8 58.7 57.2 63.2 65.8 59.6 63.2 58.8 56.8 56.0 63.0 60.7 68.0 71.7 69.5 56.5 66.2 62.9 58.7 62.2 54.3 63.8 64.9 61.1 60.2 72.0 68.7 54.4 52.4



Rank 85 212 107 246 164 71 312 282 174 221 288 188 99 165 200 82 148 275 199 276 135 265 289 150 84 244 153 262 294 307 160 224 40 9 19 299 75 162 263 194 330 136 110 214 233 7 29 329 343



State College, PA . . . . . . . . . . . . . Stockton, CA . . . . . . . . . . . . . . . . Sumter, SC. . . . . . . . . . . . . . . . . . Syracuse, NY . . . . . . . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL Terre Haute, IN . . . . . . . . . . Texarkana, TX-Texarkana, AR Toledo, OH . . . . . . . . . . . . . Topeka, KS. . . . . . . . . . . . . Trenton-Ewing, NJ . . . . . . . . Tucson, AZ . . . . . . . . . . . . . Tulsa, OK. . . . . . . Tuscaloosa, AL . . . Tyler, TX . . . . . . . Utica-Rome, NY . . Valdosta, GA. . . . . Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Vero Beach, FL . . . . . . . . . . . . . . . . . . . . . Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . Virginia Beach-Norfolk-Newport News, VA-NC. Visalia-Porterville, CA . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . Warner Robins, GA . . . . . . . . . . . Washington-Arlington-Alexandria, Waterloo-Cedar Falls, IA . . . . . . . . Wausau, WI . . . . . . . . . . . . . . . . Weirton-Steubenville, WV-OH. . . . . Wenatchee, WA . . . . . . . . . . . . . Wheeling, WV-OH . Wichita, KS. . . . . . Wichita Falls, TX . . Williamsport, PA . . Wilmington, NC . . . Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



........... DC-VA-MD-WV ........... ........... ........... ........... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Winston-Salem, NC . . . . . . . . Worcester, MA . . . . . . . . . . . Yakima, WA . . . . . . . . . . . . . York-Hanover, PA . . . . . . . . . Youngstown-Warren-Boardman, Yuba City, CA . . . . . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . .

1 2 3



...... ...... ...... ...... OH-PA . ...... ......



Active, nonfederal physicians as of December 31. Unduplicated count of persons enrolled in either hospital and/or supplemental medical insurance as of July 1. The April 1, 2000, housing estimates base reflects changes to the 2000 Census of Population and Housing as documented in the Count Question Resolution program and geographic program revisions. 4 Per 1,000 resident population estimated as of July 1, 2002. 5 Based on resident population estimated as of July 1 of the year shown. 6 The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld Counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield is treated as if it were a county when data are available to do so. In many cases, the data will not be available. Sources: U.S. Census Bureau. U.S. National Center for Health Statistics, American Medical Association. For more information, see , , and . See Tables B-5, B-6 and B-7 of the State and Metropolitan Area Data Book: 2006.



E–26



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table E-16. Metropolitan Area Rankings — Economic Indicators

Earnings, 2002—percent by selected major industries Metropolitan statistical area Manufacturing Percent Abilene, TX . . . . . . . . . . Akron, OH. . . . . . . . . . . Albany, GA . . . . . . . . . . Albany-Schenectady-Troy, Albuquerque, NM . . . . . . Alexandria, LA . . . . . . . . ... ... ... NY ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.5 18.8 (NA) 7.8 8.7 10.8 21.3 16.1 7.5 12.3 2.1 36.4 31.6 18.7 19.3 24.7 17.5 14.0 8.2 3.2 15.7 14.0 14.6 4.4 8.3 13.6 3.2 13.9 31.8 20.5 20.5 13.8 9.5 6.5 26.4 9.7 7.8 26.2 15.8 10.8 18.0 11.4 17.9 21.5 1.5 12.0 9.8 11.5 20.0 24.0 21.3 26.5 4.8 10.8 5.8 21.6 10.8 10.1 10.4 14.0 0.1 16.8 4.4 13.1 5.1 16.2 16.0 30.5 18.5 8.9 7.4 (NA) 7.4 11.3 (NA) 43.1 12.2 10.3 Rank 318 114 (NA) 272 260 216 87 143 275 196 338 10 25 115 110 62 125 167 267 331 149 168 162 321 266 176 330 171 24 97 100 173 243 291 49 240 274 54 147 215 121 206 122 84 341 201 239 204 105 69 88 48 317 217 304 82 214 229 222 169 345 131 319 186 312 142 145 29 118 257 278 (NA) 280 207 (NA) 4 198 225 Government1 Percent 30.1 14.9 22.9 26.8 22.7 26.7 11.1 15.8 17.1 44.2 27.1 14.6 17.9 27.0 29.8 10.1 16.0 32.3 11.5 16.7 34.5 26.8 17.9 27.1 21.9 20.1 15.8 19.8 19.2 16.9 15.4 18.4 14.3 13.7 19.6 13.8 21.5 29.0 29.3 12.7 14.3 10.1 14.1 16.9 54.5 6.7 27.0 26.2 17.8 9.8 15.8 12.0 15.4 36.4 13.5 11.0 34.2 18.2 26.4 10.2 32.5 16.2 40.2 11.7 21.9 12.3 48.5 11.7 13.7 19.4 37.7 27.6 36.8 25.5 32.7 11.3 16.2 23.0 Rank 51 227 105 73 109 77 328 210 178 13 68 234 163 72 52 341 205 46 315 191 33 74 162 67 115 136 208 139 153 185 220 157 244 261 142 258 123 57 55 285 242 338 252 183 7 360 70 81 168 342 209 304 218 24 266 329 36 160 78 337 44 199 17 310 116 296 8 313 260 146 21 62 23 87 43 321 202 102 Civilian labor force, 2000–2004 Net change 5,012 9,785 946 16,396 21,567 1,258 19,721 3,446 10,675 −116 9,454 −329 330 2,203 755 4,352 11,225 5,957 81,620 5,422 3,984 13,528 39,898 24,212 20,017 3,623 9,761 12,673 3,360 107 3,138 12,623 9,492 6,159 −2,475 −1,665 3,642 3,392 2,877 −412 16,176 −5,419 6,040 2,605 14,736 8,869 15,832 3,694 7,365 583 5,325 −1,176 40,332 738 3,335 817 −556 −6,570 25,386 46,975 5,961 2,641 2,464 −34,733 4,853 40,454 5,153 249 −23,015 7,433 8,222 20,077 5,829 16,245 −1,897 −1,278 37,862 12,616 Rank 177 108 272 63 45 264 51 203 102 301 114 305 291 244 280 184 100 151 13 159 189 77 26 40 50 198 109 81 206 299 215 84 113 147 336 328 197 205 224 308 66 350 149 232 73 116 67 196 135 282 162 319 25 281 207 278 310 352 38 21 150 230 239 358 180 24 171 293 357 134 123 49 155 64 332 321 27 85 Unemployment rate,2 2004 New private housing units authorized by building permits, 2000–2003 Number 1,380 12,396 2,982 11,916 25,656 2,004 16,837 1,164 3,543 2,796 8,199 1,751 5,165 8,945 991 7,944 13,361 7,003 267,199 7,615 4,020 12,292 72,106 16,886 44,836 2,086 6,122 16,907 1,751 1,438 4,196 6,926 10,105 2,675 1,331 22,392 3,088 2,849 3,725 5,800 27,655 47,961 9,246 3,224 4,938 8,341 13,566 3,256 11,341 4,469 4,030 5,367 46,900 1,199 609 7,074 5,095 1,762 23,446 81,349 7,607 11,613 1,821 187,013 5,182 50,733 7,276 2,264 27,554 5,769 6,553 26,466 6,373 21,276 6,823 849 64,622 6,922 Rank 320 99 260 106 50 289 78 331 243 267 134 304 203 127 340 142 92 163 1 149 227 102 21 76 36 283 182 75 304 318 220 165 117 271 323 57 256 262 233 188 44 34 126 253 211 131 89 251 108 218 226 195 35 328 353 160 206 303 53 17 150 107 299 5 202 31 155 281 45 189 176 48 179 60 168 346 22 166



Rate 4.9 6.0 5.2 4.2 5.2 5.7 5.3 5.5 4.3 3.2 6.4 5.9 7.1 4.3 5.4 4.6 4.3 3.4 4.6 5.6 4.2 5.4 5.1 9.8 4.5 5.4 4.8 6.1 7.0 7.6 8.4 5.7 6.7 3.5 5.3 4.8 3.0 4.1 4.6 4.5 4.3 4.9 4.9 4.4 5.9 4.4 8.8 4.0 5.8 6.2 3.5 6.6 3.9 5.0 3.7 5.1 4.6 5.0 5.3 5.6 3.1 4.4 4.5 6.1 7.2 5.3 5.3 5.2 5.9 5.5 4.5 5.7 3.7 5.7 5.2 4.4 5.4 6.7



Rank 222 102 190 305 187 124 178 151 293 357 73 110 44 295 168 262 302 349 249 146 309 165 208 8 266 163 226 93 51 31 17 123 59 343 174 225 359 312 263 271 294 221 218 277 115 286 12 321 118 86 344 63 330 213 336 209 259 216 174 142 358 278 268 90 42 182 181 197 112 154 275 132 335 126 193 291 166 60



Allentown-Bethlehem-Easton, PA-NJ Altoona, PA . . . . . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . Anderson, IN . . . . . . . . . . . . . . . . Anderson, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . Anniston-Oxford, AL . . . . . Appleton, WI . . . . . . . . . . Asheville, NC. . . . . . . . . . Athens-Clarke County, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Atlanta-Sandy Springs-Marietta, GA. Atlantic City, NJ . . . . . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . Augusta-Richmond County, GA-SC . Austin-Round Rock, TX . . . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Baltimore-Towson, MD Bangor, ME . . . . . . . . Barnstable Town, MA . Baton Rouge, LA . . . . Battle Creek, MI . . . . . Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Beaumont-Port Arthur, TX Bellingham, WA . . . . . . . Bend, OR . . . . . . . . . . . Billings, MT . . . . . . . . . . Binghamton, NY. . . . . . . Birmingham-Hoover, AL . .



Bismarck, ND . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA Bloomington, IN . . . . . . . . . . . . . . . . Bloomington-Normal, IL . . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . . Boston-Cambridge-Quincy, MA-NH . . Boulder, CO3 . . . . . . . . . . . . . . Bowling Green, KY . . . . . . . . . . Bremerton-Silverdale, WA . . . . . Bridgeport-Stamford-Norwalk, CT Brownsville-Harlingen, TX . . . . . Brunswick, GA . . . . . . . . . . . . . Buffalo-Niagara Falls, NY. . . . . Burlington, NC . . . . . . . . . . . . Burlington-South Burlington, VT Canton-Massillon, OH . . . . . . . Cape Coral-Fort Myers, FL. . . . Carson City, NV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Casper, WY. . . . . . . . . . . . . . . . . Cedar Rapids, IA . . . . . . . . . . . . . Champaign-Urbana, IL . . . . . . . . . Charleston, WV . . . . . . . . . . . . . . Charleston-North Charleston, SC . . Charlotte-Gastonia-Concord, NC-SC Charlottesville, VA . . . . . . . . . . . . Chattanooga, TN-GA . . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI Chico, CA . . . . . . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN . . Clarksville, TN-KY . . . . . . . Cleveland, TN . . . . . . . . . . Cleveland-Elyria-Mentor, OH Coeur d’Alene, ID. . . . . . . . College Station-Bryan, TX . . Colorado Springs, CO . . . . . Columbia, MO . . . Columbia, SC . . . Columbus, GA-AL Columbus, IN . . . Columbus, OH . . . Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–27



Table E-16. Metropolitan Area Rankings — Economic Indicators—Con.

Earnings, 2002—percent by selected major industries Metropolitan statistical area Manufacturing Percent Corvallis, OR . . . . . . . . . . . . . . . Cumberland, MD-WV . . . . . . . . . Dallas-Fort Worth-Arlington, TX . Dalton, GA . . . . . . . . . . . . . . . . Danville, IL . . . . . . . . . . . . . . . . Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.3 16.4 (NA) 42.1 21.9 33.6 16.7 20.5 36.0 29.2 7.4 (NA) 7.2 21.6 13.7 (NA) 23.7 8.1 27.2 17.4 4.4 16.7 53.7 20.5 12.2 26.4 14.8 26.6 1.4 8.7 3.3 8.4 17.4 6.8 28.2 25.4 17.0 35.2 20.2 23.3 3.5 23.2 8.6 19.1 4.3 27.0 16.8 14.7 6.9 6.7 26.4 2.9 15.5 21.6 21.7 15.7 21.1 6.1 15.1 9.0 9.3 28.1 15.1 11.1 37.2 (NA) 42.0 2.1 11.3 11.2 13.2 12.9 22.2 5.4 17.1 8.8 10.1 21.4 Rank 53 139 (NA) 6 78 17 136 96 12 33 277 (NA) 281 83 174 (NA) 71 270 41 127 320 135 2 99 199 49 158 46 343 261 328 264 128 285 36 57 130 13 104 74 325 75 263 112 323 44 132 159 284 288 51 333 150 81 79 148 92 298 153 255 248 38 156 211 9 (NA) 7 339 208 210 184 191 76 309 129 259 232 85 Government1 Percent 27.0 24.5 9.6 9.4 23.4 15.5 16.7 20.4 14.5 10.1 16.5 12.3 13.3 10.1 16.6 39.8 8.1 21.8 17.9 16.2 35.7 45.7 6.3 21.6 27.6 13.9 19.3 9.2 46.9 15.0 22.0 58.3 12.0 33.8 14.6 17.4 27.3 11.5 19.2 13.3 44.4 9.7 21.8 14.7 37.6 12.3 21.0 35.1 32.7 17.6 9.6 30.8 13.4 11.8 11.2 32.5 13.6 35.3 20.2 47.1 22.1 15.2 14.3 25.7 12.8 79.7 11.9 34.2 15.0 13.4 9.8 18.5 27.0 14.4 12.4 41.8 12.5 17.8 Rank 71 93 346 354 99 216 189 131 236 340 195 299 271 339 193 19 358 118 166 200 27 11 361 120 63 255 150 356 10 226 113 4 303 37 231 171 66 318 151 273 12 345 117 229 22 298 129 31 42 169 351 48 269 308 325 45 264 29 133 9 112 221 245 86 280 1 307 35 225 268 344 156 69 237 294 16 292 167 Civilian labor force, 2000–2004 Net change 1,080 −678 115,774 524 −1,351 −241 −3,743 −1,669 −1,593 −4,170 22,446 78,429 12,435 −84,522 −240 5,345 220 2,866 10,808 3,613 3,766 3,258 2,728 −2,244 14,845 542 2,269 1,616 2,580 8,073 3,959 6,326 30,685 4,449 −749 4,191 −3,649 1,511 16,577 5,194 12,425 861 20,243 −1,493 5,217 5,226 3,182 814 2,558 10,085 −1,891 922 15,077 9,840 7,777 2,976 1,006 2,469 1,874 5,065 11,500 7,321 17,054 1,739 −7,693 2,924 −1,997 −528 2,560 5,886 182,523 4,446 8,642 5,888 46,862 19,155 2,926 −43 Rank 266 314 8 284 322 303 345 329 327 346 43 14 88 359 302 161 294 225 101 199 195 211 226 334 72 283 243 253 233 126 190 146 31 181 315 186 344 258 61 169 89 277 47 324 167 166 213 279 235 106 330 274 71 107 130 218 271 238 248 175 97 137 59 249 354 221 333 309 234 153 4 182 118 152 22 53 220 300 Unemployment rate,2 2004 New private housing units authorized by building permits, 2000–2003 Number 1,867 983 198,805 3,559 262 1,254 4,727 12,823 1,550 1,505 19,459 94,975 17,567 75,813 1,938 5,495 1,820 4,584 20,106 5,123 4,052 3,075 5,131 643 15,622 2,831 5,874 6,817 734 7,258 989 8,522 17,116 3,614 10,420 1,998 1,341 1,993 13,227 3,331 6,613 10,275 16,514 1,232 8,091 7,569 2,509 1,972 1,402 5,528 17,080 587 17,044 10,779 21,663 7,285 17,349 7,165 9,605 2,823 9,264 2,751 14,752 1,168 8,116 1,296 8,715 10,090 472 3,254 177,297 960 6,895 3,545 64,409 5,337 1,590 3,623 Rank 297 342 2 241 359 326 212 96 314 317 66 14 70 20 295 193 300 216 65 205 225 257 204 352 83 263 187 169 348 156 341 130 72 239 113 290 322 291 95 246 175 116 80 327 139 151 277 293 319 192 73 356 74 111 59 154 71 158 121 265 125 269 86 330 138 325 129 118 357 252 6 343 167 242 23 197 313 238



Rate 5.4 6.3 5.9 4.1 8.3 7.4 5.5 6.2 6.1 7.3 4.6 5.8 4.7 7.1 4.7 3.6 4.7 5.8 4.4 4.7 17.1 5.3 4.2 6.1 7.8 6.3 7.4 4.6 6.6 2.9 6.1 5.6 3.6 5.5 8.3 8.2 6.5 4.6 4.6 5.1 3.5 5.2 10.4 6.3 3.5 3.8 4.8 5.4 3.7 5.1 7.0 4.2 5.4 4.7 5.6 5.7 6.2 5.1 4.3 10.8 4.5 3.0 5.1 5.2 6.7 5.5 5.6 3.2 5.9 5.1 6.3 5.5 4.6 3.5 4.7 3.2 3.6 7.6



Rank 163 75 111 314 18 35 150 81 89 38 260 122 239 45 235 342 236 117 288 232 1 186 310 91 25 76 36 247 66 361 92 140 340 159 19 21 68 251 246 200 345 192 6 78 347 332 230 161 334 203 52 308 170 237 143 128 83 202 300 4 272 360 205 198 58 155 138 355 109 205 77 148 255 348 242 353 339 32



Davenport-Moline-Rock Island, IA-IL . . . . . Dayton, OH . . . . . . . . . . . . . . . . . . . . . . Decatur, AL . . . . . . . . . . . . . . . . . . . . . . Decatur, IL . . . . . . . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, FL Denver-Aurora, CO3 . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . Detroit-Warren-Livonia, Dothan, AL . . . . . . . . . Dover, DE . . . . . . . . . . Dubuque, IA . . . . . . . . Duluth, MN-WI . . . . . . . Durham, NC . . . . . Eau Claire, WI . . . . El Centro, CA . . . . Elizabethtown, KY . Elkhart-Goshen, IN . Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . ... MI . ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



El Paso, TX. . . . . . . . . Erie, PA . . . . . . . . . . . Eugene-Springfield, OR . Evansville, IN-KY . . . . . Fairbanks, AK . . . . . . . Fargo, ND-MN . . . . . . .



Farmington, NM . . . . . . . . . . . . . . . . Fayetteville, NC . . . . . . . . . . . . . . . . Fayetteville-Springdale-Rogers, AR-MO Flagstaff, AZ . . . . . . . . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . Florence, SC . . . . . . . . . . . . . . . . . .



Florence-Muscle Shoals, AL . . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL. Fort Wayne, IN . . . . . . . . . . . . . . . . . Fresno, CA . . . Gadsden, AL . . Gainesville, FL. Gainesville, GA Glens Falls, NY Goldsboro, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Grand Forks, ND-MN . . Grand Junction, CO . . . Grand Rapids-Wyoming, Great Falls, MT . . . . . . Greeley, CO3 . . . . . . . . Green Bay, WI . . . . . . .



... ... MI . ... ... ...



Greensboro-High Point, NC . . . . Greenville, NC . . . . . . . . . . . . . Greenville, SC . . . . . . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . Hagerstown-Martinsburg, MD-WV Hanford-Corcoran, CA. . . . . . . .



Harrisburg-Carlisle, PA . . . . . . . . . . . . Harrisonburg, VA . . . . . . . . . . . . . . . . Hartford-West Hartford-East Hartford, CT Hattiesburg, MS . . . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . Holland-Grand Haven, MI . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . Hot Springs, AR . . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA . Houston-Sugar Land-Baytown, TX. . Huntington-Ashland, WV-KY-OH . . . Huntsville, AL . Idaho Falls, ID . Indianapolis, IN Iowa City, IA . . Ithaca, NY . . . Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



E–28



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table E-16. Metropolitan Area Rankings — Economic Indicators—Con.

Earnings, 2002—percent by selected major industries Metropolitan statistical area Manufacturing Percent Jackson, MS . . . . Jackson, TN . . . . Jacksonville, FL . . Jacksonville, NC . Janesville, WI . . . Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.8 23.7 6.7 1.2 33.7 9.5 19.0 9.0 19.8 25.0 27.0 21.2 9.9 6.7 5.9 30.5 10.4 14.5 58.9 17.8 27.0 6.1 20.7 12.7 25.6 16.3 1.4 4.9 3.1 9.0 9.6 24.5 15.2 15.1 20.8 29.5 13.4 8.7 20.5 12.8 25.5 12.3 18.6 5.8 28.3 (NA) 9.2 11.6 20.3 34.5 4.9 9.2 10.3 13.6 5.2 24.6 3.4 20.4 14.2 6.2 12.7 13.4 13.2 32.3 9.9 9.5 38.3 13.5 22.1 27.2 5.4 19.1 2.3 13.1 14.9 7.8 6.4 33.2 Rank 273 70 287 344 16 244 113 256 107 60 43 90 237 286 303 28 223 163 1 124 42 299 95 194 55 141 342 315 332 254 242 64 152 155 94 30 178 262 98 192 56 197 117 305 35 (NA) 253 203 102 14 316 251 226 175 311 63 326 101 165 297 193 179 185 22 238 245 8 177 77 39 307 111 337 187 157 271 295 18 Government1 Percent 21.1 18.6 18.4 75.2 12.8 36.0 20.2 19.5 16.9 11.0 15.5 15.7 14.6 17.9 54.8 11.5 26.0 15.1 10.3 14.4 24.6 10.8 14.2 15.1 8.8 27.6 26.4 35.6 13.4 30.7 56.5 17.9 18.4 12.1 16.4 14.2 21.2 22.2 25.0 11.7 14.5 12.4 12.2 22.2 13.1 14.3 22.0 24.1 9.6 16.6 26.7 16.2 14.1 20.8 14.1 16.4 11.7 11.2 12.0 18.7 17.3 17.1 16.3 12.9 29.3 35.2 11.3 19.2 19.4 16.0 13.9 13.6 9.6 10.8 13.2 17.0 12.3 11.8 Rank 127 155 157 2 282 26 135 143 184 330 215 211 232 165 6 317 84 222 336 241 92 332 248 223 357 61 79 28 270 49 5 164 159 302 196 250 124 110 89 311 235 295 300 111 277 243 114 95 350 192 76 201 253 130 251 197 312 327 305 154 175 178 198 279 53 30 324 152 148 206 254 265 347 331 274 182 297 309 Civilian labor force, 2000–2004 Net change 11,922 −589 20,115 2,329 1,261 2,974 3,865 1,022 1,674 2,136 −642 −359 35,423 15,736 11,990 1,425 3,052 19,308 −2,954 2,113 −1,134 3,297 943 17,521 16,177 2,123 12,636 6,537 99,671 5,527 3,207 5,521 434 1,686 −2,261 1,067 8,358 13,533 7,648 7,110 406 233,068 −9,034 9,643 205 2,693 8,079 22,830 10,326 353 43,139 7,004 4,370 8,359 125,014 −1,210 6,096 −4,976 86,535 3,322 −6,657 18,076 3,599 262 1,293 2,621 519 4,213 −1,891 3,807 12,880 5,612 20,876 17,091 15,370 −12,170 165,555 −6,018 Rank 93 311 48 242 263 219 192 270 252 245 312 307 29 68 92 260 217 52 339 247 318 210 273 57 65 246 82 143 10 157 212 158 286 251 335 268 120 76 132 139 287 1 355 110 295 228 125 42 104 289 23 141 183 119 7 320 148 348 12 208 353 56 200 292 262 231 285 185 330 193 79 156 46 58 69 356 5 351 Unemployment rate,2 2004 New private housing units authorized by building permits, 2000–2003 Number 12,005 2,898 53,614 4,172 3,644 2,542 2,595 875 2,086 2,060 7,729 1,981 57,071 7,059 9,865 4,605 2,773 15,235 1,792 2,594 6,381 5,258 4,547 21,062 9,521 10,347 7,098 4,956 121,819 3,848 604 2,677 609 1,509 14,917 925 8,061 14,426 3,322 1,129 1,842 114,794 – 7,485 5,320 5,295 3,645 21,119 8,198 1,964 28,062 6,639 37,483 6,967 149,670 1,712 799 23,913 98,659 3,168 7,929 13,530 1,913 4,137 6,172 340 2,342 3,187 1,614 3,695 17,907 3,063 29,230 48,085 7,031 20,117 189,222 2,273 Rank 105 261 27 222 236 276 272 345 283 286 147 292 26 161 120 215 268 84 301 273 178 200 217 62 122 114 159 209 10 229 355 270 353 316 85 344 140 87 247 334 298 11 361 152 198 199 235 61 135 294 43 172 37 164 7 307 347 52 13 255 143 90 296 223 181 358 279 254 312 234 69 258 42 33 162 64 4 280



Rate 5.1 5.6 4.8 5.5 5.6 4.3 5.4 7.0 5.6 5.2 6.2 7.6 6.0 6.3 5.7 5.5 4.8 4.1 6.4 4.2 4.7 4.7 5.6 5.0 4.0 6.0 6.8 6.4 4.4 4.1 4.5 4.1 5.4 4.5 4.1 6.6 3.4 5.1 3.9 6.0 8.5 6.0 5.1 4.6 4.3 4.9 8.8 3.3 3.9 7.2 9.1 7.1 5.9 10.8 5.2 6.0 4.5 5.4 4.5 4.0 6.5 9.1 5.7 6.3 5.5 3.8 5.8 6.8 6.0 7.9 5.7 4.6 4.0 4.3 5.2 4.6 5.7 7.8



Rank 201 145 227 153 144 304 172 50 139 199 85 30 100 78 126 149 228 315 71 307 244 243 141 211 325 104 55 72 290 313 274 318 162 273 317 64 350 207 328 103 15 101 204 253 299 223 11 352 327 41 9 46 107 5 191 96 270 167 276 326 69 10 131 80 157 331 116 54 105 23 133 255 322 301 188 261 135 26



Johnson City, TN . . . . . Johnstown, PA. . . . . . . Jonesboro, AR . . . . . . . Joplin, MO . . . . . . . . . Kalamazoo-Portage, MI . Kankakee-Bradley, IL . .



Kansas City, MO-KS . . . . . . . . Kennewick-Richland-Pasco, WA Killeen-Temple-Fort Hood, TX . . Kingsport-Bristol-Bristol, TN-VA. Kingston, NY . . . . . . . . . . . . . Knoxville, TN . . . . . . . . . . . . . Kokomo, IN . . . . . La Crosse, WI-MN Lafayette, IN . . . . Lafayette, LA . . . . Lake Charles, LA . Lakeland, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Lancaster, PA . . . . . . . . Lansing-East Lansing, MI Laredo, TX . . . . . . . . . . Las Cruces, NM . . . . . . . Las Vegas-Paradise, NV . Lawrence, KS . . . . . . . . Lawton, OK . . . . . . . . Lebanon, PA . . . . . . . Lewiston, ID-WA . . . . Lewiston-Auburn, ME . Lexington-Fayette, KY . Lima, OH . . . . . . . . . . . . . . . . . . . . .



Lincoln, NE . . . . . . . . . . . . . . . . . . . . . . Little Rock-North Little Rock, AR . . . . . . . . Logan, UT-ID. . . . . . . . . . . . . . . . . . . . . Longview, TX. . . . . . . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA. Louisville, KY-IN 4. Lubbock, TX . . . . Lynchburg, VA . . . Macon, GA . . . . . Madera, CA. . . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Manchester-Nashua, NH . . . . Mansfield, OH . . . . . . . . . . . McAllen-Edinburg-Mission, TX Medford, OR . . . . . . . . . . . . Memphis, TN-MS-AR . . . . . . Merced, CA. . . . . . . . . . . . .



Miami-Fort Lauderdale-Miami Beach, FL . Michigan City-La Porte, IN . . . . . . . . . . . . Midland, TX. . . . . . . . . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . . Minneapolis-St. Paul-Bloomington, MN-WI . Missoula, MT. . . . . . . . . . . . . . . . . . . . . Mobile, AL. . . . . Modesto, CA . . . Monroe, LA . . . . Monroe, MI . . . . Montgomery, AL . Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Morristown, TN . . . . . . . . . . . . . Mount Vernon-Anacortes, WA. . . . Muncie, IN . . . . . . . . . . . . . . . . Muskegon-Norton Shores, MI . . . . Myrtle Beach-Conway-North Myrtle Napa, CA . . . . . . . . . . . . . . . . .



........ ........ ........ ........ Beach, SC ........



Naples-Marco Island, FL . . . . . . . . . . Nashville-Davidson-Murfreesboro, TN . New Haven-Milford, CT . . . . . . . . . . . New Orleans-Metairie-Kenner, LA . . . . New York-Northern New Jersey-Long NY-NJ-PA . . . . . . . . . . . . . . . . . . . . Niles-Benton Harbor, MI . . . . . . . . . . See footnotes at end of table.



...... ...... ...... ...... Island, ...... ......



....... .......



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–29



Table E-16. Metropolitan Area Rankings — Economic Indicators—Con.

Earnings, 2002—percent by selected major industries Metropolitan statistical area Manufacturing Percent Norwich-New London, CT Ocala, FL . . . . . . . . . . . Ocean City, NJ . . . . . . . Odessa, TX. . . . . . . . . . Ogden-Clearfield, UT . . . Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.6 11.7 1.9 10.3 14.6 13.4 4.0 7.5 6.5 42.3 24.9 16.6 16.7 5.5 (NA) 33.7 5.3 25.0 12.1 11.2 21.2 13.9 16.8 12.9 9.4 15.5 5.4 16.7 6.1 16.0 12.5 10.6 2.5 36.2 9.9 7.1 24.4 5.1 8.1 10.4 10.6 (NA) 20.2 24.1 30.8 24.3 26.7 7.2 31.6 19.3 6.0 18.1 (NA) 9.2 5.1 10.8 10.1 10.1 6.5 9.9 32.1 8.2 29.3 6.6 9.4 9.6 2.6 15.8 8.4 14.7 17.8 14.1 46.3 24.3 10.8 (NA) 10.2 23.5 Rank 116 202 340 227 161 180 324 276 292 5 61 138 137 306 (NA) 15 310 59 200 209 89 172 133 190 246 151 308 134 300 144 195 220 336 11 236 283 65 313 269 224 219 (NA) 103 68 27 66 45 282 26 109 301 119 (NA) 252 314 218 230 233 293 235 23 268 32 290 247 241 334 146 265 160 123 166 3 67 213 (NA) 228 73 Government1 Percent 31.9 18.0 26.1 17.3 33.0 24.3 42.2 15.1 11.3 11.9 16.8 16.5 17.1 29.3 16.1 23.9 33.4 11.5 12.5 12.6 27.7 11.2 11.4 26.8 17.3 13.3 15.4 22.7 21.6 16.7 14.6 22.7 13.7 12.8 17.1 26.3 11.3 20.2 14.7 19.4 21.5 13.7 9.3 14.2 10.6 16.7 14.2 28.7 12.6 15.4 14.8 17.5 12.8 30.4 21.8 21.2 15.6 27.5 22.9 22.8 13.9 12.6 7.6 21.1 19.8 16.1 26.0 13.5 9.6 19.7 14.2 14.4 9.8 12.5 23.8 12.2 9.4 10.7 Rank 47 161 82 172 39 94 15 224 322 306 187 194 177 54 203 97 38 316 293 288 60 326 319 75 174 272 217 107 121 188 233 108 262 281 176 80 323 134 230 145 122 263 355 249 334 190 247 58 287 219 228 170 283 50 119 126 213 65 104 106 257 286 359 128 138 204 83 267 349 140 246 240 342 291 98 301 353 333 Civilian labor force, 2000–2004 Net change 11,520 7,839 2,445 5,066 15,113 24,293 12,632 14,626 67,015 2,913 −1,053 23,103 18,309 6,558 1,068 −2,485 9,226 −3,244 70,451 185,661 1,388 26,554 2,534 1,565 16,533 16,729 21,639 18,351 11,384 28,480 12,168 4,917 5,356 921 31,195 4,155 3,117 8,721 11,642 36,023 227,378 −315 8,187 −4,793 −5,400 392 3,884 98,069 −343 5,028 11,318 5,145 25,391 7,203 8,353 4,054 13,744 1,577 64,002 113,684 1,548 −104,663 −113,545 8,236 11,566 −3,119 5,169 3,469 26,347 12,549 5,144 54,877 139 868 3,310 −2,850 8,033 −1,515 Rank 96 129 240 174 70 39 83 74 17 222 317 41 55 142 267 337 115 343 15 3 261 34 236 255 62 60 44 54 98 33 91 178 160 275 30 187 216 117 94 28 2 304 124 347 349 288 191 11 306 176 99 172 37 138 121 188 75 254 18 9 256 360 361 122 95 342 170 202 35 87 173 20 297 276 209 338 127 325 Unemployment rate,2 2004 New private housing units authorized by building permits, 2000–2003 Number 3,774 18,161 5,760 712 15,863 25,729 6,627 23,314 102,684 4,947 3,296 13,505 22,119 7,815 1,031 3,751 13,707 5,935 77,455 194,169 657 27,015 1,547 1,307 13,246 57,253 23,275 12,379 10,787 16,734 15,869 5,073 8,310 3,804 52,322 3,061 7,952 4,693 19,277 34,333 123,639 6,513 7,802 12,702 8,154 3,271 2,057 80,158 2,831 6,705 8,185 1,131 53,225 7,413 5,347 3,636 27,273 1,012 50,728 62,712 1,095 53,583 25,202 7,869 5,050 2,819 2,097 9,268 35,969 10,447 5,447 84,921 2,579 1,162 5,661 1,635 9,347 6,005 Rank 231 68 190 349 82 49 173 54 12 210 249 91 58 145 337 232 88 186 19 3 351 47 315 324 94 25 55 100 110 79 81 207 132 230 30 259 141 213 67 40 9 177 146 97 137 250 287 18 264 171 136 333 29 153 196 237 46 339 32 24 336 28 51 144 208 266 282 124 39 112 194 16 274 332 191 311 123 183



Rate 4.4 4.6 6.9 6.0 5.3 4.4 5.7 4.3 4.5 4.5 5.2 5.3 4.4 4.6 5.9 6.2 4.7 5.7 5.2 4.4 7.8 5.8 4.6 4.8 3.6 7.2 5.7 4.4 4.3 5.5 4.8 7.2 5.0 6.0 4.4 3.3 5.3 7.4 4.0 3.9 5.7 3.7 4.1 5.3 7.7 7.3 4.6 5.4 8.7 4.7 4.4 5.9 6.0 7.4 8.2 4.7 5.4 4.9 5.6 4.7 6.3 5.6 6.7 4.4 4.7 7.0 4.3 4.9 4.1 4.0 6.5 5.6 4.4 6.2 6.1 5.2 3.2 5.0



Rank 280 254 53 99 182 282 128 297 265 269 195 173 281 252 114 84 233 125 189 279 24 121 257 229 341 43 134 284 303 157 224 40 212 98 292 351 177 34 323 329 130 338 316 176 28 37 257 171 13 238 285 108 106 33 20 241 169 220 136 234 74 146 61 289 240 48 296 217 319 320 70 137 283 88 95 194 354 215



Olympia, WA . . . . . . . . . . . . . . . . . Omaha-Council Bluffs, NE-IA . . . . . . Orlando-Kissimee, FL . . . . . . . . . . . Oshkosh-Neenah, WI . . . . . . . . . . . Owensboro, KY . . . . . . . . . . . . . . . Oxnard-Thousand Oaks-Ventura, CA . Palm Bay-Melbourne-Titusville, FL. . . Panama City-Lynn Haven, FL . . . . . . Parkersburg-Marietta-Vienna, WV-OH Pascagoula, MS. . . . . . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Peoria, IL . . . . . . . . . . . . . . . . . . .



Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . Pittsfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . Portland-South Portland-Biddeford, ME . . . Portland-Vancouver-Beaverton, OR-WA . . . Port St. Lucie-Fort Pierce, FL . . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA . Provo-Orem, UT. . Pueblo, CO . . . . . Punta Gorda, FL . Racine, WI . . . . . Raleigh-Cary, NC . Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Reading, PA . . . . . . . . . . . . . . . . . . Redding, CA . . . . . . . . . . . . . . . . . . Reno-Sparks, NV . . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . . . . . . Riverside-San Bernardino-Ontario, CA . Roanoke, VA . . . . . . . . . . . . . . . . . .



Rochester, MN. . . . . . . . . . . . . . . . . . Rochester, NY . . . . . . . . . . . . . . . . . . Rockford, IL . . . . . . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . Rome, GA. . . . . . . . . . . . . . . . . . . . . Sacramento-Arden-Arcade-Roseville, CA Saginaw-Saginaw Township North, MI St. Cloud, MN . . . . . . . . . . . . . . . . St. George, UT . . . . . . . . . . . . . . . St. Joseph, MO-KS. . . . . . . . . . . . . St. Louis, MO-IL5 . . . . . . . . . . . . . . Salem, OR . . . . . . . . . . . . . . . . . . Salinas, CA . . . . . . . . . . . . . . . Salisbury, MD . . . . . . . . . . . . . Salt Lake City, UT . . . . . . . . . . San Angelo, TX . . . . . . . . . . . . San Antonio, TX. . . . . . . . . . . . San Diego-Carlsbad-San Marcos, ... ... ... ... ... CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Sandusky, OH . . . . . . . . . . . . . . . . . San Francisco-Oakland-Fremont, CA San Jose-Sunnyvale-Santa Clara, CA . San Luis Obispo-Paso Robles, CA . . . Santa Barbara-Santa Maria, CA . . . . . Santa Cruz-Watsonville, CA . . . . . . . . Santa Fe, NM . . . . . . . . . . . . Santa Rosa-Petaluma, CA . . . . Sarasota-Bradenton-Venice, FL Savannah, GA . . . . . . . . . . . . Scranton-Wilkes-Barre, PA . . . . Seattle-Tacoma-Bellevue, WA. Sheboygan, WI . . . . . . . . . . Sherman-Denison, TX . . . . . . Shreveport-Bossier City, LA . . Sioux City, IA-NE-SD . . . . . . Sioux Falls, SD . . . . . . . . . . South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



E–30



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table E-16. Metropolitan Area Rankings — Economic Indicators—Con.

Earnings, 2002—percent by selected major industries Metropolitan statistical area Manufacturing Percent Spartanburg, SC Spokane, WA . . Springfield, IL . . Springfield, MA . Springfield, MO . Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.9 10.1 3.4 14.3 15.1 25.3 10.5 10.0 21.3 16.3 2.5 7.4 21.7 13.0 23.5 9.3 4.4 13.3 21.0 21.2 13.2 13.2 (NA) 9.3 6.2 (NA) 19.4 (NA) 8.9 18.0 6.6 (NA) 26.6 28.1 32.6 5.9 13.1 32.5 14.0 29.1 11.1 26.4 19.8 17.5 11.4 29.5 27.2 6.4 3.2 Rank 19 231 327 164 154 58 221 234 86 140 335 279 80 189 72 249 322 181 93 91 182 183 (NA) 250 296 (NA) 108 (NA) 258 120 289 (NA) 47 37 20 302 188 21 170 34 211 52 106 126 205 31 40 294 329 Government1 Percent 13.9 20.3 32.8 19.6 13.2 16.0 42.4 19.9 36.4 17.0 40.0 13.0 19.4 23.1 15.5 23.4 24.0 24.6 9.6 24.6 12.5 25.4 34.3 29.2 13.1 14.4 25.8 38.3 22.9 17.3 61.1 27.6 15.6 10.6 12.5 21.2 17.0 12.7 34.5 16.8 19.4 11.6 9.5 14.4 19.3 11.4 13.8 32.9 28.2 Rank 256 132 41 141 275 207 14 137 25 180 18 278 147 101 214 100 96 90 348 91 289 88 34 56 276 238 85 20 103 173 3 64 212 335 290 125 181 284 32 186 144 314 352 239 149 320 259 40 59 Civilian labor force, 2000–2004 Net change 1,735 13,084 −3,068 7,355 12,204 −1,459 3,785 26,032 1,041 2,913 1,108 68,868 109 2,686 162 5,272 10,326 29,961 3,424 1,517 7,856 −671 5,261 9,547 5,208 337 3,162 58,254 10,579 6,530 5,838 140,347 2,431 2,474 −992 4,856 −1,585 7,049 2,712 1,502 12,608 5,257 7,720 12,785 6,389 7,571 −2,960 3,554 9,568 Rank 250 78 341 136 90 323 194 36 269 222 265 16 298 229 296 163 104 32 204 257 128 313 164 112 168 290 214 19 103 144 154 6 241 237 316 179 326 140 227 259 86 165 131 80 145 133 340 201 111 Unemployment rate,2 2004 New private housing units authorized by building permits, 2000–2003 Number 7,206 8,933 3,853 5,978 12,098 1,124 3,448 22,915 1,709 6,799 12,150 93,881 1,724 1,700 11,204 4,613 5,254 30,308 16,859 4,416 2,368 1,779 3,356 9,917 8,227 1,026 1,195 36,809 7,662 3,321 6,614 149,060 2,560 4,193 673 2,037 184 12,374 1,656 1,345 20,502 4,090 13,344 12,592 2,078 10,298 5,999 3,608 6,239 Rank 157 128 228 185 104 335 244 56 308 170 103 15 306 309 109 214 201 41 77 219 278 302 245 119 133 338 329 38 148 248 174 8 275 221 350 288 360 101 310 321 63 224 93 98 285 115 184 240 180



Rate 7.6 6.5 5.5 5.3 4.5 6.8 4.4 8.5 8.1 5.5 4.0 4.6 7.1 5.8 7.0 6.1 4.2 4.6 5.0 4.9 5.3 5.3 3.5 5.9 6.6 5.8 6.6 4.1 11.5 5.3 3.8 3.7 4.8 4.3 7.8 6.7 6.0 6.2 5.2 6.2 4.6 3.2 5.0 5.5 8.6 4.6 7.2 10.2 15.4



Rank 29 67 152 184 267 56 287 16 22 160 324 263 47 120 49 94 306 248 214 219 179 185 346 113 65 119 62 311 3 180 333 337 231 298 27 57 96 87 196 82 245 355 210 156 14 250 39 7 2



State College, PA . . . . . . . . . . . . . . Stockton, CA . . . . . . . . . . . . . . . . . Sumter, SC . . . . . . . . . . . . . . . . . . Syracuse, NY . . . . . . . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL. Terre Haute, IN . . . . . . . . . . Texarkana, TX-Texarkana, AR. Toledo, OH . . . . . . . . . . . . . Topeka, KS . . . . . . . . . . . . . Trenton-Ewing, NJ . . . . . . . . Tucson, AZ . . . . . . . . . . . . . Tulsa, OK . . . . . . . Tuscaloosa, AL . . . Tyler, TX. . . . . . . . Utica-Rome, NY . . . Valdosta, GA . . . . . Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Vero Beach, FL . . . . . . . . . . . . . . . . . . . . . Victoria, TX . . . . . . . . . . . . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ . . . . . . . . . . . Virginia Beach-Norfolk-Newport News, VA-NC . Visalia-Porterville, CA . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . .



Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . Weirton-Steubenville, WV-OH . . . . . . . . . . . . . . . . Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . Wheeling, WV-OH . Wichita, KS . . . . . . Wichita Falls, TX . . Williamsport, PA. . . Wilmington, NC . . . Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Winston-Salem, NC . . . . . . . . . . . . . Worcester, MA . . . . . . . . . . . . . . . . . Yakima, WA . . . . . . . . . . . . . . . . . . York-Hanover, PA . . . . . . . . . . . . . . . Youngstown-Warren-Boardman, OH-PA Yuba City, CA . . . . . . . . . . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . . . . . . . – Represents zero.

1 2 3



NA Not available.



Includes government enterprises. Civilian unemployed as percent of total civilian labor force. The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld Counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield is treated as if it were a county when data are available to do so. In many cases, the data will not be available. 4 Excludes Trimble County, KY. 5 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis, MO-IL MSA. Sources: U.S. Bureau of Economic Analysis, U.S. Bureau of Labor Statistics, and U.S. Census Bureau. For more information, see , , and . See Tables B-7, B-8, and B-9 of the State and Metropolitan Area Data Book: 2006.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–31



Table E-17. Metropolitan Area Rankings — Business and Federal Funds

Private nonfarm business establishments Retail trade1 (NAICS 44–55), sales 2002 Accommodation and food services1 (NAICS 72), sales 2002 Federal funds and grants, 2003



Metropolitan statistical area Establishment change, 2000– 2003 Abilene, TX . . . . . . . . . . Akron, OH. . . . . . . . . . . Albany, GA . . . . . . . . . . Albany-Schenectady-Troy, Albuquerque, NM . . . . . . Alexandria, LA . . . . . . . . ... ... ... NY ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −102 209 65 465 122 50 360 −30 −15 −31 304 −87 71 44 4 141 393 206 4,148 156 85 87 1,540 375 1,445 −7 257 227 −30 15 −98 197 457 140 27 233 81 79 −4 −6 746 273 −542 68 326 −202 250 56 412 −40 576 −151 1,375 −69 58 95 62 −162 590 1,129 232 −69 99 2,515 161 217 49 −4 −616 29 183 687 51 80 62 −118 1,002 85



Rank 340 109 199 55 151 218 70 297 280 301 85 336 192 225 260 137 66 110 6 130 175 173 21 68 22 276 96 105 297 253 337 115 57 139 242 103 182 186 272 275 33 90 357 197 75 354 99 210 63 308 47 351 23 326 207 163 203 353 45 25 104 326 160 15 129 107 220 272 358 240 119 41 216 184 203 347 28 175



Annual payroll per employee, 2002 (dollars) 23,141 33,118 27,068 33,012 29,893 25,561 33,849 25,870 28,006 24,796 42,496 27,403 27,213 41,491 25,003 32,127 26,716 25,608 38,356 29,592 24,053 30,887 38,111 30,746 36,431 27,924 31,479 30,399 33,473 30,078 30,638 29,662 27,299 27,071 27,827 33,683 26,888 26,983 25,449 37,082 30,840 45,709 40,589 26,830 27,229 56,000 20,372 24,090 30,621 26,162 33,430 28,198 28,422 30,207 28,243 31,298 27,601 29,301 27,869 36,636 30,515 28,839 26,133 40,878 24,066 34,824 23,839 27,620 35,139 26,233 24,719 31,919 26,601 29,400 26,593 36,219 34,907 27,916



Rank 349 72 250 74 150 308 58 300 204 323 9 237 243 10 319 93 264 307 22 155 337 122 23 127 33 208 113 139 65 148 132 154 239 249 217 61 260 255 310 28 123 5 14 263 242 2 360 335 133 287 66 194 188 146 191 115 229 163 213 30 136 177 288 13 336 46 340 228 41 284 326 101 271 161 272 34 45 210



Per capita2 (dollars) 11,361 10,683 9,104 11,225 11,732 10,398 10,680 13,277 12,324 9,909 13,210 9,678 9,736 12,247 10,413 13,712 12,092 10,414 11,658 12,768 8,617 9,666 15,612 8,082 10,906 14,212 14,911 9,552 10,080 11,670 10,873 10,205 14,836 14,079 9,763 11,611 13,205 9,190 9,221 11,220 10,455 11,977 12,448 11,972 9,507 15,569 7,808 11,755 10,050 12,018 14,172 10,446 13,386 15,786 12,979 12,115 10,109 10,936 11,029 12,150 11,627 10,696 14,313 10,824 9,714 10,574 8,933 8,517 11,070 11,265 9,368 10,991 12,004 10,149 9,548 10,186 12,238 9,560



Percent change, 1997– Rank 2002 134 196 317 142 105 224 197 35 67 272 39 289 286 73 221 27 86 220 112 53 336 290 5 346 174 18 12 295 261 111 178 241 13 22 283 116 40 314 311 143 217 93 61 94 299 7 349 103 265 89 19 218 34 2 44 81 259 173 161 78 113 193 16 183 287 204 328 337 157 138 303 166 90 252 296 250 74 294 17.7 12.7 6.4 28.3 23.1 22.2 24.2 27.3 18.6 26.7 22.4 13.7 22.9 20.7 18.2 31.9 23.1 26.9 27.8 31.7 30.8 23.5 11.4 32.6 30.6 26.2 34.7 14.7 12.9 16.2 20.0 6.2 43.7 24.0 24.0 23.7 25.7 18.5 22.3 18.2 22.3 23.7 (NA) 12.6 31.6 20.5 44.8 32.6 20.9 30.9 31.1 12.4 45.8 26.9 35.7 26.8 21.1 10.7 37.0 28.1 35.1 21.6 39.2 24.6 34.9 18.1 20.5 13.5 19.9 25.9 18.7 21.6 19.4 16.6 21.6 7.5 17.1 18.7



Rank 261 313 344 98 161 177 143 105 237 115 170 299 165 208 245 66 162 111 103 67 77 159 323 61 80 119 46 292 310 277 220 345 22 145 147 154 127 238 173 246 175 155 (NA) 314 69 213 18 60 207 76 73 318 15 110 38 114 205 328 35 102 42 190 29 139 43 247 210 303 223 125 235 191 226 272 189 342 267 236



Per capita2 (dollars) 1,232 1,272 (NA) 1,311 1,615 (NA) 1,105 1,213 1,462 1,374 2,448 1,076 1,029 1,540 1,177 1,300 1,854 1,373 1,777 18,767 1,186 1,081 1,837 927 1,504 1,266 3,327 1,100 1,161 1,158 1,047 1,412 2,125 2,040 1,161 1,201 1,470 1,190 1,397 1,563 1,219 1,961 1,938 (NA) 986 1,529 1,052 3,707 1,229 1,436 1,656 1,135 1,766 2,019 1,449 1,187 1,424 1,268 2,126 1,604 2,024 1,314 1,668 1,681 1,067 (NA) 1,050 1,016 1,356 1,944 1,420 1,891 1,580 1,297 1,359 1,319 1,661 1,459



Rank 199 186 (NA) 166 84 (NA) 262 211 120 150 21 274 292 105 228 172 48 151 56 1 224 272 51 315 114 188 13 265 237 240 288 139 28 33 237 215 119 220 144 98 209 41 43 (NA) 304 106 284 8 201 132 74 253 58 37 126 223 133 187 27 87 36 165 71 70 277 (NA) 286 295 155 42 136 46 95 173 153 163 72 122



Total expenditures (million dollars) 1,098 3,706 1,142 13,954 7,472 1,092 3,722 825 1,468 489 3,379 710 770 1,944 1,071 746 2,243 870 21,496 1,601 461 4,864 9,517 3,856 22,639 963 1,768 4,460 971 583 2,342 879 532 781 1,890 6,441 789 790 872 529 2,543 35,269 1,864 539 2,809 5,778 1,665 682 7,532 585 1,538 1,994 2,615 648 351 1,458 1,081 2,645 4,368 5,580 1,106 3,474 994 46,091 1,191 11,587 2,494 494 12,708 608 2,029 5,294 770 4,844 2,562 370 10,399 2,723



Rank 208 92 201 25 49 209 91 264 177 340 99 290 275 150 214 280 131 255 15 172 343 64 36 84 13 236 161 68 231 317 125 248 330 273 152 54 271 270 254 332 120 6 154 326 109 57 168 294 48 316 173 144 115 301 360 178 212 114 69 58 207 96 224 4 195 29 122 338 27 310 143 60 275 65 117 359 33 112



Per capita3 (dollars) 6,941 5,286 7,057 16,600 9,747 7,465 4,838 6,471 6,286 6,087 9,959 5,414 4,481 5,789 9,554 3,537 5,863 5,067 4,668 6,069 3,872 9,529 6,913 5,405 8,617 6,506 7,716 6,181 6,992 5,322 6,117 4,978 4,108 5,460 7,541 5,997 8,138 5,235 4,928 3,374 4,970 7,961 6,718 5,016 11,718 6,422 4,596 7,043 6,504 4,279 7,560 4,860 5,310 11,722 5,145 6,008 5,041 8,604 7,631 3,877 6,150 7,140 11,784 4,940 5,639 5,661 10,559 4,647 5,937 5,168 10,791 9,296 5,128 7,218 9,231 5,111 6,201 6,702



Rank 92 227 89 3 33 79 285 124 134 151 31 211 312 181 35 355 175 250 300 154 347 36 94 213 49 120 70 140 91 222 148 268 330 208 77 158 61 233 277 357 270 65 108 260 18 126 307 90 121 320 75 282 225 17 241 157 255 51 73 346 145 87 16 275 190 187 26 304 167 238 24 39 245 85 42 247 139 109



Allentown-Bethlehem-Easton, PA-NJ Altoona, PA . . . . . . . . . . . . . . . . . Amarillo, TX . . . . . . . . . . . . . . . . Ames, IA . . . . . . . . . . . . . . . . . . Anchorage, AK . . . . . . . . . . . . . . Anderson, IN . . . . . . . . . . . . . . . . Anderson, SC . . . . . . . . . Ann Arbor, MI . . . . . . . . . Anniston-Oxford, AL . . . . . Appleton, WI . . . . . . . . . . Asheville, NC. . . . . . . . . . Athens-Clarke County, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Atlanta-Sandy Springs-Marietta, GA. Atlantic City, NJ . . . . . . . . . . . . . . Auburn-Opelika, AL . . . . . . . . . . . Augusta-Richmond County, GA-SC . Austin-Round Rock, TX . . . . . . . . . Bakersfield, CA . . . . . . . . . . . . . . Baltimore-Towson, MD Bangor, ME . . . . . . . . Barnstable Town, MA . Baton Rouge, LA . . . . Battle Creek, MI . . . . . Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Beaumont-Port Arthur, TX Bellingham, WA . . . . . . . Bend, OR . . . . . . . . . . . Billings, MT . . . . . . . . . . Binghamton, NY. . . . . . . Birmingham-Hoover, AL . .



Bismarck, ND . . . . . . . . . . . . . . . . . Blacksburg-Christiansburg-Radford, VA Bloomington, IN . . . . . . . . . . . . . . . . Bloomington-Normal, IL . . . . . . . . . . . Boise City-Nampa, ID . . . . . . . . . . . . Boston-Cambridge-Quincy, MA-NH . . Boulder, CO4 . . . . . . . . . . . . . . Bowling Green, KY . . . . . . . . . . Bremerton-Silverdale, WA . . . . . Bridgeport-Stamford-Norwalk, CT Brownsville-Harlingen, TX . . . . . Brunswick, GA . . . . . . . . . . . . . Buffalo-Niagara Falls, NY. . . . . Burlington, NC . . . . . . . . . . . . Burlington-South Burlington, VT Canton-Massillon, OH . . . . . . . Cape Coral-Fort Myers, FL. . . . Carson City, NV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Casper, WY. . . . . . . . . . . . . . . . . Cedar Rapids, IA . . . . . . . . . . . . . Champaign-Urbana, IL . . . . . . . . . Charleston, WV . . . . . . . . . . . . . . Charleston-North Charleston, SC . . Charlotte-Gastonia-Concord, NC-SC Charlottesville, VA . . . . . . . . . . . . Chattanooga, TN-GA . . . . . . . . . . Cheyenne, WY . . . . . . . . . . . . . . Chicago-Naperville-Joliet, IL-IN-WI Chico, CA . . . . . . . . . . . . . . . . . . Cincinnati-Middletown, OH-KY-IN . . Clarksville, TN-KY . . . . . . . Cleveland, TN . . . . . . . . . . Cleveland-Elyria-Mentor, OH Coeur d’Alene, ID. . . . . . . . College Station-Bryan, TX . . Colorado Springs, CO . . . . . Columbia, MO . . . Columbia, SC . . . Columbus, GA-AL Columbus, IN . . . Columbus, OH . . . Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



E–32



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table E-17. Metropolitan Area Rankings — Business and Federal Funds—Con.

Private nonfarm business establishments Retail trade1 (NAICS 44–55), sales 2002 Accommodation and food services1 (NAICS 72), sales 2002 Federal funds and grants, 2003



Metropolitan statistical area Establishment change, 2000– 2003 Corvallis, OR . . . . . . . . . . . . . . . Cumberland, MD-WV . . . . . . . . . Dallas-Fort Worth-Arlington, TX . Dalton, GA . . . . . . . . . . . . . . . . Danville, IL . . . . . . . . . . . . . . . . Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64 −15 3,453 – −19 7 −101 −130 41 −48 444 2,614 311 −250 54 30 −28 61 154 85 51 104 90 15 93 −156 −105 −86 88 177 101 12 513 150 −120 25 −39 −25 483 113 108 187 273 18 130 169 26 −2 3 46 577 −54 352 112 −85 57 −215 21 148 52 66 141 −74 41 1 20 21 315 110 119 2,816 −84 197 166 649 17 43 41



Rank 201 280 9 266 286 258 339 349 230 311 60 14 82 356 213 238 295 205 131 175 216 158 170 253 167 352 342 335 171 123 159 255 52 133 348 244 307 292 53 153 157 118 90 250 145 124 243 267 264 221 46 316 71 154 334 209 355 247 134 215 198 137 330 230 265 249 247 80 155 152 13 333 115 126 42 251 227 230



Annual payroll per employee, 2002 (dollars) 34,268 24,836 39,359 30,650 27,506 25,201 31,101 32,342 27,906 31,668 24,012 39,322 34,027 41,443 26,187 26,545 27,073 27,494 39,256 27,195 25,370 26,183 31,994 26,569 23,411 28,066 29,030 30,542 35,531 27,817 28,657 25,048 28,697 24,631 33,644 27,199 23,553 28,632 31,617 25,642 25,798 32,397 29,157 23,601 26,290 30,753 27,640 24,535 24,883 27,293 33,819 22,877 31,914 32,517 30,834 25,662 32,068 25,531 27,905 26,959 31,745 26,395 41,444 24,440 26,640 22,582 33,002 31,756 23,446 29,887 40,435 26,954 34,183 29,485 35,727 27,790 26,472 31,279



Rank 51 321 18 131 232 316 120 89 211 108 338 19 55 12 285 277 248 234 20 245 311 286 99 275 347 200 173 134 39 218 182 318 181 328 63 244 345 183 110 306 301 88 167 344 283 126 226 329 320 240 59 352 102 85 124 305 95 309 212 256 106 281 11 331 268 355 75 105 346 151 15 257 53 158 36 221 280 116



Per capita2 (dollars) 6,811 9,065 11,383 11,619 8,618 8,984 10,964 10,943 9,257 11,344 10,260 12,296 12,459 11,558 12,904 13,061 12,232 10,997 9,355 12,796 9,234 10,612 10,394 11,489 8,373 10,895 11,376 11,895 13,126 14,169 10,325 9,069 10,324 11,174 11,401 11,207 10,748 10,519 11,996 8,987 14,131 11,207 8,724 8,858 10,199 9,834 11,937 9,049 13,791 13,603 12,104 12,683 8,187 11,696 11,765 11,079 10,227 10,168 10,798 5,378 12,611 12,432 10,883 11,148 10,190 4,590 8,693 9,948 12,301 9,335 10,529 10,199 10,847 12,311 12,126 10,525 8,181 9,606



Percent change, 1997– Rank 2002 358 320 132 114 335 324 170 171 308 135 235 71 60 122 47 42 75 165 305 52 309 202 225 126 339 176 133 98 41 20 231 319 232 147 129 144 188 211 92 323 21 144 331 330 243 280 96 321 26 29 84 55 342 108 102 156 240 251 187 360 57 62 177 149 248 361 333 268 70 306 209 243 182 68 79 210 343 292 13.6 13.7 24.7 18.0 12.3 10.6 10.6 15.8 8.2 13.1 21.3 (NA) 22.2 15.6 15.0 29.7 17.0 23.8 23.3 26.8 36.0 22.9 −2.1 19.1 23.6 20.1 12.0 20.5 19.9 17.9 25.0 17.4 46.2 24.0 11.2 15.7 16.5 15.5 29.7 15.4 41.1 13.5 30.2 23.6 22.5 20.3 34.4 −0.9 15.2 44.2 25.0 26.0 (NA) 18.2 16.3 21.1 7.5 33.9 36.9 15.0 17.9 30.6 16.3 21.3 21.1 25.3 11.5 6.7 26.4 12.1 30.4 21.2 27.0 30.2 19.2 23.9 30.5 20.1



Rank 302 300 138 249 319 329 331 279 340 308 196 (NA) 178 283 291 90 269 153 160 113 37 166 358 229 157 219 321 211 222 253 134 264 13 149 326 281 273 285 91 286 25 304 85 156 169 215 47 357 288 19 135 123 (NA) 243 276 206 341 51 36 290 251 79 275 195 204 130 322 343 117 320 83 199 109 85 227 151 81 216



Per capita2 (dollars) 1,228 1,193 (NA) 1,140 873 934 1,897 1,396 938 1,177 1,599 1,922 1,481 1,266 1,077 1,163 1,289 1,601 1,657 1,220 870 1,273 1,210 1,152 1,113 1,135 1,421 1,602 1,829 1,510 1,146 1,096 1,186 3,538 1,004 1,056 966 1,144 1,806 917 2,040 1,295 990 996 1,405 1,308 1,872 914 1,403 1,477 1,137 1,625 775 1,273 1,459 1,246 1,276 6,371 1,162 644 1,609 1,346 1,396 1,126 1,069 622 881 3,337 1,757 1,013 1,437 1,102 1,376 1,142 1,682 1,506 1,597 986



Rank 203 217 (NA) 249 326 312 45 146 310 228 90 44 117 188 273 235 178 89 73 208 327 183 214 243 261 253 135 88 52 110 246 268 224 10 299 282 308 247 54 317 33 174 303 301 140 169 47 318 141 118 252 79 335 183 122 195 181 4 236 344 85 159 146 256 276 346 325 12 59 296 131 263 149 248 69 113 92 304



Total expenditures (million dollars) 393 713 32,528 436 529 611 2,115 6,884 743 599 2,878 12,714 2,986 24,590 879 1,159 438 1,786 3,391 702 766 1,013 594 539 4,318 1,513 1,741 1,888 1,142 902 575 4,296 1,396 799 2,292 1,120 940 424 1,088 1,482 2,940 1,979 4,074 627 1,420 566 636 904 796 641 2,936 768 652 1,142 3,184 724 2,791 2,462 1,326 777 5,972 399 10,751 664 1,505 340 801 9,056 628 979 24,184 1,982 7,124 1,421 9,500 746 607 723



Rank 357 288 7 348 332 309 135 52 283 312 107 26 104 10 248 199 347 157 97 291 278 222 315 326 70 174 164 153 201 244 319 71 183 268 128 204 240 350 210 176 105 147 76 307 181 322 303 243 269 302 106 277 299 201 103 285 110 123 185 274 55 355 32 298 175 361 267 39 306 229 11 145 51 180 37 280 311 286



Per capita3 (dollars) 4,967 7,063 5,823 3,422 6,386 5,621 5,642 8,141 5,039 5,384 6,155 5,523 5,930 5,480 6,581 8,609 4,843 6,463 7,613 4,639 5,143 9,293 3,145 5,973 6,145 5,345 5,273 5,448 13,403 5,040 4,699 12,461 3,689 6,596 5,178 5,703 6,633 4,317 4,082 5,297 16,532 4,945 4,789 6,081 5,982 3,619 5,016 7,971 8,315 5,140 3,849 9,629 3,077 3,912 4,809 4,566 4,828 9,863 5,573 5,600 11,546 3,607 9,112 5,171 4,293 4,815 3,211 10,137 6,890 4,954 4,767 6,906 19,921 13,223 5,935 5,482 6,108 4,446



Rank 271 88 179 356 131 193 189 60 258 216 143 200 171 207 118 50 284 125 74 305 242 40 359 162 146 219 229 209 11 256 299 15 351 116 236 186 113 317 335 226 4 274 292 152 161 352 260 64 55 244 348 34 360 342 289 308 286 32 198 196 20 353 43 237 318 287 358 30 98 272 294 96 1 12 168 206 150 313



Davenport-Moline-Rock Island, IA-IL . . . . . Dayton, OH . . . . . . . . . . . . . . . . . . . . . . Decatur, AL . . . . . . . . . . . . . . . . . . . . . . Decatur, IL . . . . . . . . . . . . . . . . . . . . . . Deltona-Daytona Beach-Ormond Beach, FL Denver-Aurora, CO4 . . . . . . . . . . . . . . . . Des Moines, IA . . . . . . Detroit-Warren-Livonia, Dothan, AL . . . . . . . . . Dover, DE . . . . . . . . . . Dubuque, IA . . . . . . . . Duluth, MN-WI . . . . . . . Durham, NC . . . . . Eau Claire, WI . . . . El Centro, CA . . . . Elizabethtown, KY . Elkhart-Goshen, IN . Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . ... MI . ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



El Paso, TX. . . . . . . . . Erie, PA . . . . . . . . . . . Eugene-Springfield, OR . Evansville, IN-KY . . . . . Fairbanks, AK . . . . . . . Fargo, ND-MN . . . . . . .



Farmington, NM . . . . . . . . . . . . . . . . Fayetteville, NC . . . . . . . . . . . . . . . . Fayetteville-Springdale-Rogers, AR-MO Flagstaff, AZ . . . . . . . . . . . . . . . . . . Flint, MI . . . . . . . . . . . . . . . . . . . . . Florence, SC . . . . . . . . . . . . . . . . . .



Florence-Muscle Shoals, AL . . . . . . . . . Fond du Lac, WI . . . . . . . . . . . . . . . . Fort Collins-Loveland, CO . . . . . . . . . . Fort Smith, AR-OK . . . . . . . . . . . . . . . Fort Walton Beach-Crestview-Destin, FL. Fort Wayne, IN . . . . . . . . . . . . . . . . . Fresno, CA . . . Gadsden, AL . . Gainesville, FL. Gainesville, GA Glens Falls, NY Goldsboro, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Grand Forks, ND-MN . . Grand Junction, CO . . . Grand Rapids-Wyoming, Great Falls, MT . . . . . . Greeley, CO4 . . . . . . . . Green Bay, WI . . . . . . .



... ... MI . ... ... ...



Greensboro-High Point, NC . . . . Greenville, NC . . . . . . . . . . . . . Greenville, SC . . . . . . . . . . . . . Gulfport-Biloxi, MS . . . . . . . . . . Hagerstown-Martinsburg, MD-WV Hanford-Corcoran, CA. . . . . . . .



Harrisburg-Carlisle, PA . . . . . . . . . . . . Harrisonburg, VA . . . . . . . . . . . . . . . . Hartford-West Hartford-East Hartford, CT Hattiesburg, MS . . . . . . . . . . . . . . . . . Hickory-Lenoir-Morganton, NC . . . . . . . Hinesville-Fort Stewart, GA . . . . . . . . . Holland-Grand Haven, MI . . . . . . . Honolulu, HI . . . . . . . . . . . . . . . . Hot Springs, AR . . . . . . . . . . . . . . Houma-Bayou Cane-Thibodaux, LA . Houston-Sugar Land-Baytown, TX. . Huntington-Ashland, WV-KY-OH . . . Huntsville, AL . Idaho Falls, ID . Indianapolis, IN Iowa City, IA . . Ithaca, NY . . . Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–33



Table E-17. Metropolitan Area Rankings — Business and Federal Funds—Con.

Private nonfarm business establishments Retail trade1 (NAICS 44–55), sales 2002 Accommodation and food services1 (NAICS 72), sales 2002 Federal funds and grants, 2003



Metropolitan statistical area Establishment change, 2000– 2003 Jackson, MS . . . . Jackson, TN . . . . Jacksonville, FL . . Jacksonville, NC . Janesville, WI . . . Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295 −38 1,761 −50 65 82 12 −2 58 167 −104 31 447 202 145 −105 239 −12 59 70 −33 254 42 198 165 134 252 34 2,936 38 −55 −2 −51 −21 132 −5 134 80 81 94 −29 8,784 374 64 35 −54 70 437 −35 4 462 261 −109 30 7,520 −62 −56 −139 3,311 137 −78 411 42 88 −76 −53 −17 93 −45 76 222 216 726 343 −70 71 6,313 74



Rank 86 306 20 312 199 181 255 267 207 125 341 237 59 112 135 342 102 279 206 194 302 97 228 114 127 142 98 236 12 234 318 267 313 288 144 274 142 184 182 165 296 2 69 201 235 316 194 61 304 260 56 95 344 238 3 321 319 350 11 141 332 64 228 171 331 315 283 167 310 188 106 108 35 73 328 192 4 190



Annual payroll per employee, 2002 (dollars) 28,056 29,186 31,220 19,223 33,167 26,492 25,159 23,891 24,355 25,755 33,084 28,196 35,091 34,480 26,077 29,244 25,980 30,745 37,747 27,509 30,101 28,620 27,996 28,372 30,538 32,410 21,194 21,954 31,171 23,125 23,831 27,573 28,181 27,916 31,459 29,094 28,616 29,794 23,261 26,986 32,544 38,732 32,014 24,295 29,358 28,126 27,485 33,185 37,944 29,134 21,523 27,149 33,498 26,008 33,228 27,497 30,377 35,998 40,197 25,908 28,025 29,587 26,845 34,800 27,816 27,011 27,717 29,036 26,628 30,766 22,828 35,647 30,380 34,015 37,425 30,339 50,172 31,626



Rank 201 166 118 361 71 279 317 339 332 302 73 195 44 50 290 164 293 128 25 231 147 184 206 189 135 87 359 356 119 350 341 230 196 209 114 170 185 153 348 254 83 21 97 333 162 198 235 70 24 168 357 246 64 292 69 233 141 35 16 298 203 156 262 47 219 252 223 172 269 125 353 37 140 56 26 142 3 109



Per capita2 (dollars) 11,136 13,430 11,598 9,622 11,384 12,114 10,265 9,332 10,869 11,684 10,121 10,495 11,585 11,039 8,710 9,878 10,188 13,463 12,431 12,522 11,081 11,997 10,688 9,041 11,240 11,241 9,845 7,012 12,734 8,647 8,059 10,544 11,959 13,951 13,265 12,402 10,872 12,037 7,482 11,687 9,914 10,072 10,651 13,043 10,855 10,676 5,474 15,289 15,761 11,557 8,196 13,803 10,381 7,124 12,114 10,234 11,014 10,745 12,667 15,590 10,194 10,242 11,023 9,365 10,073 8,950 9,405 15,029 11,121 8,920 15,647 10,696 15,222 11,712 11,102 9,833 9,883 8,113



Percent change, 1997– Rank 2002 151 33 119 291 131 82 234 307 180 110 258 215 121 159 332 275 249 32 63 59 155 91 195 322 141 140 278 356 54 334 347 207 95 24 37 64 179 88 353 109 271 263 200 43 181 199 359 8 3 123 341 25 228 355 82 238 163 190 56 6 247 237 162 304 262 326 302 11 152 329 4 193 10 107 153 281 274 345 25.1 13.3 30.6 32.2 9.6 46.9 30.3 12.7 22.0 29.5 11.3 21.9 18.7 32.4 40.5 13.9 43.8 17.9 16.8 4.8 21.3 9.4 26.2 17.6 15.1 17.8 33.5 18.2 56.7 15.7 30.2 6.1 10.6 17.7 26.5 3.8 26.3 19.0 9.2 22.4 15.6 33.6 21.4 22.1 21.7 13.7 33.7 22.3 25.5 14.3 50.5 24.3 17.3 45.4 25.0 8.3 5.5 13.4 24.0 42.7 19.7 49.9 18.9 35.1 11.2 22.0 23.9 49.8 18.2 12.5 28.7 46.0 59.8 21.2 20.0 17.8 28.2 1.2



Rank 132 307 78 65 332 12 84 311 184 92 324 185 234 63 26 298 21 255 271 349 198 333 120 262 289 259 56 241 2 280 87 346 330 260 116 350 118 231 335 171 282 55 194 180 188 301 53 176 128 295 3 142 266 17 133 339 348 305 148 23 224 4 232 41 325 182 150 6 242 316 96 14 1 200 221 257 100 356



Per capita2 (dollars) 1,289 1,452 1,575 1,138 1,193 1,067 1,102 860 1,098 1,177 1,261 1,063 1,697 1,149 936 748 1,512 1,577 1,423 1,350 1,401 1,727 2,080 905 1,229 1,287 1,164 870 10,846 1,547 1,087 772 1,256 1,072 1,848 1,359 1,443 1,294 760 1,036 1,188 1,560 (NA) 1,635 913 (NA) 725 1,590 1,413 1,188 856 1,599 2,396 626 1,773 3,093 1,447 1,293 1,618 2,105 1,098 1,038 1,211 883 1,174 1,183 894 1,750 1,233 1,028 5,170 2,700 2,531 1,853 1,212 2,399 1,509 1,176



Rank 178 124 97 250 217 277 263 330 266 228 192 280 66 245 311 340 109 96 134 157 143 62 32 320 201 180 234 327 2 104 270 336 194 275 50 153 128 175 338 291 221 100 (NA) 77 319 (NA) 341 93 137 221 331 90 23 345 57 14 127 176 81 30 266 290 213 324 232 227 322 60 198 293 6 16 17 49 212 22



Total expenditures (million dollars) 3,792 578 8,597 2,079 745 1,793 1,720 1,204 623 952 1,435 523 11,732 3,225 3,882 1,776 863 6,524 485 630 743 1,030 1,076 2,549 1,972 4,231 896 1,241 7,170 398 1,287 747 373 597 2,271 711 1,706 4,694 407 992 487 68,978 8,223 1,284 1,766 1,420 522 3,795 2,137 635 2,608 1,013 8,480 965 29,055 494 428 7,963 14,802 540 2,320 2,047 898 575 3,742 784 667 539 596 877 1,023 702 1,225 7,838 5,200 9,929



Rank 87 318 41 137 282 156 165 194 308 238 179 334 28 101 83 159 257 53 342 305 283 219 213 119 149 72 247 190 50 356 188 279 358 313 130 289 166 66 352 227 341 3 43 189 162 181 335 86 134 304 116 222 42 235 8 338 349 45 22 325 127 140 245 319 89 272 296 326 314 251 220 291 193 46 61 34 1 252



Per capita3 (dollars) 7,431 5,278 7,180 13,720 4,811 12,524 9,236 8,047 5,658 5,865 4,488 4,920 6,155 15,342 11,285 5,918 4,758 10,183 4,788 4,900 4,105 4,221 5,548 4,990 4,083 9,315 4,213 6,799 4,552 3,903 11,664 6,070 6,409 5,628 5,396 6,641 6,167 7,459 3,756 4,990 5,121 5,380 6,909 5,000 7,635 6,266 3,907 7,227 5,409 4,954 4,105 5,322 6,845 4,168 5,505 4,501 3,597 5,261 4,798 5,486 5,801 4,169 5,258 3,810 10,603 6,906 5,232 4,934 5,033 5,063 4,850 5,329 4,280 5,712 6,179 7,546 6,047 5,381



Rank 81 228 86 10 288 14 41 62 188 174 311 278 143 6 21 173 295 29 293 279 331 325 199 266 334 38 326 103 309 344 19 153 128 192 215 112 142 80 350 266 246 218 95 265 72 135 343 84 212 272 331 222 101 329 203 310 354 230 291 205 180 328 231 349 25 96 235 276 259 251 283 221 319 185 141 76 155 217



Johnson City, TN . . . . . Johnstown, PA. . . . . . . Jonesboro, AR . . . . . . . Joplin, MO . . . . . . . . . Kalamazoo-Portage, MI . Kankakee-Bradley, IL . .



Kansas City, MO-KS . . . . . . . . Kennewick-Richland-Pasco, WA Killeen-Temple-Fort Hood, TX . . Kingsport-Bristol-Bristol, TN-VA. Kingston, NY . . . . . . . . . . . . . Knoxville, TN . . . . . . . . . . . . . Kokomo, IN . . . . . La Crosse, WI-MN Lafayette, IN . . . . Lafayette, LA . . . . Lake Charles, LA . Lakeland, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Lancaster, PA . . . . . . . . Lansing-East Lansing, MI Laredo, TX . . . . . . . . . . Las Cruces, NM . . . . . . . Las Vegas-Paradise, NV . Lawrence, KS . . . . . . . . Lawton, OK . . . . . . . . Lebanon, PA . . . . . . . Lewiston, ID-WA . . . . Lewiston-Auburn, ME . Lexington-Fayette, KY . Lima, OH . . . . . . . . . . . . . . . . . . . . .



Lincoln, NE . . . . . . . . . . . . . . . . . . . . . . Little Rock-North Little Rock, AR . . . . . . . . Logan, UT-ID. . . . . . . . . . . . . . . . . . . . . Longview, TX. . . . . . . . . . . . . . . . . . . . . Longview, WA . . . . . . . . . . . . . . . . . . . . Los Angeles-Long Beach-Santa Ana, CA. Louisville, KY-IN. Lubbock, TX . . . Lynchburg, VA . . Macon, GA . . . . Madera, CA. . . . Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Manchester-Nashua, NH . . . . Mansfield, OH . . . . . . . . . . . McAllen-Edinburg-Mission, TX Medford, OR . . . . . . . . . . . . Memphis, TN-MS-AR . . . . . . Merced, CA. . . . . . . . . . . . .



Miami-Fort Lauderdale-Miami Beach, FL . Michigan City-La Porte, IN . . . . . . . . . . . . Midland, TX. . . . . . . . . . . . . . . . . . . . . . Milwaukee-Waukesha-West Allis, WI . . . . . Minneapolis-St. Paul-Bloomington, MN-WI . Missoula, MT. . . . . . . . . . . . . . . . . . . . . Mobile, AL. . . . . Modesto, CA . . . Monroe, LA . . . . Monroe, MI . . . . Montgomery, AL . Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Morristown, TN . . . . . . . . . . . . . Mount Vernon-Anacortes, WA. . . . Muncie, IN . . . . . . . . . . . . . . . . Muskegon-Norton Shores, MI . . . . Myrtle Beach-Conway-North Myrtle Napa, CA . . . . . . . . . . . . . . . . .



........ ........ ........ ........ Beach, SC ........



Naples-Marco Island, FL . . . . . . . . . . Nashville-Davidson-Murfreesboro, TN . New Haven-Milford, CT . . . . . . . . . . . New Orleans-Metairie-Kenner, LA . . . . New York-Northern New Jersey-Long NY-NJ-PA . . . . . . . . . . . . . . . . . . . . Niles-Benton Harbor, MI . . . . . . . . . . See footnotes at end of table.



...... ...... ...... ...... Island, ...... ......



....... .......



111 112,903 231 876



E–34



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table E-17. Metropolitan Area Rankings — Business and Federal Funds—Con.

Private nonfarm business establishments Retail trade1 (NAICS 44–55), sales 2002 Accommodation and food services1 (NAICS 72), sales 2002 Federal funds and grants, 2003



Metropolitan statistical area Establishment change, 2000– 2003 Norwich-New London, CT Ocala, FL . . . . . . . . . . . Ocean City, NJ . . . . . . . Odessa, TX. . . . . . . . . . Ogden-Clearfield, UT . . . Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162 311 138 129 689 467 200 424 2,300 −33 −21 743 518 44 −60 −66 289 4 2,011 3,484 17 46 −73 24 598 699 538 706 397 16,927 950 46 320 110 921 154 250 84 269 709 4,006 127 269 316 7 −26 41 2,353 −17 324 283 72 1,015 93 323 −2 942 −15 1,132 3,408 4 −1,744 −1,287 548 178 56 197 247 1,127 129 −114 54 95 −3 55 −7 272 −98



Rank 128 82 140 146 40 54 113 62 18 302 288 34 50 225 320 322 88 260 19 8 251 221 329 245 44 38 49 37 65 1 29 221 78 155 31 131 99 179 93 36 7 149 93 79 258 293 230 17 283 76 89 191 27 167 77 267 30 280 24 10 260 361 360 48 122 210 115 101 26 146 345 213 163 271 212 276 92 337



Annual payroll per employee, 2002 (dollars) 36,453 24,745 30,234 27,849 26,512 28,080 28,824 32,629 30,735 35,111 26,920 36,690 31,764 24,092 26,857 28,795 25,357 32,226 39,379 33,323 25,231 32,917 30,281 24,718 32,777 36,473 27,243 32,502 23,669 32,027 26,324 25,934 24,818 33,256 33,646 25,953 31,689 28,131 32,174 34,003 29,093 28,547 35,137 33,722 32,543 26,944 26,061 34,575 32,837 27,642 23,696 25,972 34,607 27,674 32,123 27,020 31,910 26,103 29,188 37,412 28,872 49,720 62,395 28,004 34,230 34,118 27,814 35,607 28,499 28,909 26,712 43,193 30,492 28,209 26,570 26,670 28,944 29,993



Rank 32 324 145 215 278 199 178 82 129 43 259 29 104 334 261 179 312 91 17 67 315 76 144 327 80 31 241 86 343 96 282 297 322 68 62 295 107 197 92 57 171 186 42 60 84 258 291 49 77 225 342 294 48 224 94 251 103 289 165 27 176 4 1 205 52 54 220 38 187 175 265 8 137 193 274 266 174 149



Per capita2 (dollars) 11,464 10,496 13,587 11,091 9,118 10,429 10,299 12,567 12,118 9,535 10,196 11,557 10,555 12,249 12,350 6,986 9,776 10,633 11,752 11,036 7,610 10,411 11,785 10,099 12,849 10,804 11,294 11,064 8,978 10,972 8,367 9,708 9,570 9,924 12,943 14,632 10,072 11,471 13,681 11,255 9,211 12,841 13,221 9,919 10,678 9,417 10,366 10,968 12,880 14,269 11,615 9,481 10,998 9,075 9,873 11,610 12,209 10,803 10,543 10,906 10,569 11,591 11,802 10,587 10,738 10,335 13,484 12,303 11,508 10,748 11,148 12,170 10,144 12,039 10,815 9,161 14,016 10,938



Percent change, 1997– Rank 2002 128 214 30 154 316 219 233 58 80 297 245 123 206 72 65 357 282 201 104 160 352 222 101 260 50 185 136 158 325 168 340 288 293 269 45 14 263 127 28 139 313 51 38 270 198 301 229 169 49 17 115 300 164 318 276 117 76 186 208 174 205 120 100 203 192 230 31 69 125 188 149 77 254 87 184 315 23 172 25.2 28.8 43.9 19.1 16.9 15.4 38.3 23.5 26.1 1.4 21.8 39.3 34.2 24.6 30.9 2.7 20.7 13.0 25.7 28.3 5.7 14.5 22.7 13.3 22.2 12.7 34.0 34.3 33.7 39.7 32.5 21.2 34.9 21.2 32.3 35.3 15.5 45.6 32.9 31.3 47.0 17.9 37.8 17.0 18.2 8.5 18.8 49.6 9.1 34.8 31.6 20.1 22.0 12.4 33.8 22.0 14.3 27.4 37.6 42.2 14.0 31.5 20.5 49.9 35.4 32.9 27.2 38.2 24.2 19.2 22.6 25.9 26.2 25.3 24.0 2.9 27.1 18.0



Rank 131 95 20 230 270 287 30 158 122 355 187 28 49 140 75 353 209 309 126 99 347 293 167 306 179 312 50 48 54 27 62 202 44 203 64 40 284 16 58 72 11 252 32 268 244 338 233 7 336 45 70 218 182 317 52 181 296 104 33 24 297 71 212 5 39 59 106 31 144 228 168 124 121 129 146 352 108 250



Per capita2 (dollars) 9,060 884 4,888 1,257 829 1,402 1,128 1,707 3,453 1,056 1,230 1,264 1,219 2,451 (NA) 866 1,125 1,655 1,316 1,616 (NA) 1,365 2,455 1,123 1,995 1,498 1,157 1,048 1,747 1,525 835 1,193 922 975 1,439 2,034 966 1,346 5,490 (NA) 1,199 (NA) 1,621 1,083 1,124 1,011 1,310 1,460 1,617 1,304 1,561 976 1,651 (NA) 2,512 1,138 1,705 (NA) 1,718 2,186 2,294 2,109 1,782 2,382 2,094 1,683 2,803 1,554 1,413 1,997 1,226 1,685 1,224 1,021 3,552 1,333 1,824 1,161



Rank 3 323 7 193 333 142 255 64 11 282 200 190 209 20 (NA) 329 257 75 164 83 (NA) 152 19 259 40 115 241 287 61 107 332 217 316 307 130 35 309 159 5 (NA) 216 (NA) 80 271 258 297 167 121 82 170 99 306 76 (NA) 18 250 65 (NA) 63 26 25 29 55 24 31 68 15 101 137 39 205 67 206 294 9 161 53 237



Total expenditures (million dollars) 3,994 1,647 688 501 3,912 8,762 2,283 4,536 9,792 1,239 555 4,066 5,545 1,324 1,059 2,146 3,502 1,917 38,986 20,090 951 18,585 1,088 403 3,819 9,441 2,078 3,388 981 10,818 1,064 931 971 823 4,895 897 1,671 1,061 1,743 7,547 14,663 1,782 828 5,837 1,356 831 440 17,706 1,153 717 406 665 21,990 2,331 2,107 570 5,112 678 14,255 24,045 420 25,999 11,408 1,114 2,724 993 1,173 2,039 3,999 2,861 4,013 18,730 453 561 2,506 852 994 2,164



Rank 80 170 293 337 82 40 129 67 35 191 324 77 59 186 217 133 94 151 5 16 239 18 210 354 85 38 138 98 228 31 215 241 231 265 63 246 167 216 163 47 23 158 263 56 184 262 346 20 200 287 353 297 14 126 136 321 62 295 24 12 351 9 30 206 111 226 197 141 79 108 78 17 344 323 121 258 224 132



Per capita3 (dollars) 15,060 5,859 6,757 4,071 8,346 7,732 10,333 5,723 5,433 7,815 5,007 5,143 10,965 8,548 6,484 13,914 8,157 5,235 6,754 5,591 8,955 7,713 8,175 4,867 7,527 4,625 5,955 5,167 5,314 6,665 2,621 6,247 6,353 4,273 5,516 7,736 4,321 6,041 4,651 6,629 4,023 6,139 4,803 5,607 4,092 5,748 4,714 8,963 5,506 4,034 3,890 5,402 7,985 6,392 5,083 5,040 5,084 6,422 7,848 8,238 5,331 6,255 6,586 4,401 6,763 3,944 8,584 4,363 6,303 9,378 7,261 5,961 3,987 4,880 6,618 5,954 5,004 6,817



Rank 7 177 106 336 54 69 27 184 210 67 263 242 23 53 123 9 59 233 107 197 46 71 58 281 78 306 165 239 224 110 361 137 132 321 201 68 316 156 303 114 338 147 290 195 333 182 297 45 202 337 345 214 63 130 249 256 248 126 66 57 220 136 117 314 105 341 52 315 133 37 83 163 340 280 115 166 264 102



Olympia, WA . . . . . . . . . . . . . . . . . Omaha-Council Bluffs, NE-IA . . . . . . Orlando-Kissimee, FL . . . . . . . . . . . Oshkosh-Neenah, WI . . . . . . . . . . . Owensboro, KY . . . . . . . . . . . . . . . Oxnard-Thousand Oaks-Ventura, CA . Palm Bay-Melbourne-Titusville, FL. . . Panama City-Lynn Haven, FL . . . . . . Parkersburg-Marietta-Vienna, WV-OH Pascagoula, MS. . . . . . . . . . . . . . . Pensacola-Ferry Pass-Brent, FL . . . . Peoria, IL . . . . . . . . . . . . . . . . . . .



Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . Pittsfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . Portland-South Portland-Biddeford, ME . . . Portland-Vancouver-Beaverton, OR-WA . . . Port St. Lucie-Fort Pierce, FL . . . . . . . . . . Poughkeepsie-Newburgh-Middletown, NY . . Prescott, AZ . . . . . . . . . . . . . . . . . . . . . Providence-New Bedford-Fall River, RI-MA . Provo-Orem, UT. . Pueblo, CO . . . . . Punta Gorda, FL . Racine, WI . . . . . Raleigh-Cary, NC . Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Reading, PA . . . . . . . . . . . . . . . . . . Redding, CA . . . . . . . . . . . . . . . . . . Reno-Sparks, NV . . . . . . . . . . . . . . . Richmond, VA . . . . . . . . . . . . . . . . . Riverside-San Bernardino-Ontario, CA . Roanoke, VA . . . . . . . . . . . . . . . . . .



Rochester, MN. . . . . . . . . . . . . . . . . . Rochester, NY . . . . . . . . . . . . . . . . . . Rockford, IL . . . . . . . . . . . . . . . . . . . Rocky Mount, NC . . . . . . . . . . . . . . . . Rome, GA. . . . . . . . . . . . . . . . . . . . . Sacramento-Arden-Arcade-Roseville, CA Saginaw-Saginaw Township North, MI St. Cloud, MN . . . . . . . . . . . . . . . . St. George, UT . . . . . . . . . . . . . . . St. Joseph, MO-KS. . . . . . . . . . . . . St. Louis, MO-IL5 . . . . . . . . . . . . . . Salem, OR . . . . . . . . . . . . . . . . . . Salinas, CA . . . . . . . . . . . . . . . Salisbury, MD . . . . . . . . . . . . . Salt Lake City, UT . . . . . . . . . . San Angelo, TX . . . . . . . . . . . . San Antonio, TX. . . . . . . . . . . . San Diego-Carlsbad-San Marcos, ... ... ... ... ... CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Sandusky, OH . . . . . . . . . . . . . . . . . San Francisco-Oakland-Fremont, CA San Jose-Sunnyvale-Santa Clara, CA . San Luis Obispo-Paso Robles, CA . . . Santa Barbara-Santa Maria, CA . . . . . Santa Cruz-Watsonville, CA . . . . . . . . Santa Fe, NM . . . . . . . . . . . . Santa Rosa-Petaluma, CA . . . . Sarasota-Bradenton-Venice, FL Savannah, GA . . . . . . . . . . . . Scranton-Wilkes-Barre, PA . . . . Seattle-Tacoma-Bellevue, WA. Sheboygan, WI . . . . . . . . . . Sherman-Denison, TX . . . . . . Shreveport-Bossier City, LA . . Sioux City, IA-NE-SD . . . . . . Sioux Falls, SD . . . . . . . . . . South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



See footnotes at end of table.



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



E–35



Table E-17. Metropolitan Area Rankings — Business and Federal Funds—Con.

Private nonfarm business establishments Retail trade1 (NAICS 44–55), sales 2002 Accommodation and food services1 (NAICS 72), sales 2002 Federal funds and grants, 2003



Metropolitan statistical area Establishment change, 2000– 2003 Spartanburg, SC Spokane, WA . . Springfield, IL . . Springfield, MA . Springfield, MO . Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142 98 −52 −1,097 291 −11 29 644 85 348 331 2,378 −35 −21 75 −18 695 515 306 −21 179 69 98 315 128 12 87 810 83 −19 127 4,445 −43 −116 −30 45 −67 183 −27 −30 457 94 77 380 −66 204 −67 50 23



Rank 136 161 314 359 87 278 240 43 175 72 74 16 304 288 189 285 39 51 84 288 121 196 161 80 148 255 173 32 180 286 149 5 309 346 297 224 324 119 294 297 57 165 187 67 322 111 324 218 246



Annual payroll per employee, 2002 (dollars) 31,607 30,294 29,481 30,681 25,318 26,565 25,894 30,952 25,686 32,316 27,395 32,704 27,121 25,284 32,000 28,364 43,228 29,586 31,950 27,634 29,849 26,574 23,056 32,808 26,624 29,446 31,262 28,234 26,668 25,935 22,801 44,152 27,476 29,109 27,867 28,055 24,468 31,602 24,739 25,711 27,009 28,788 32,836 35,155 27,766 30,415 27,985 27,829 21,320



Rank 111 143 159 130 313 276 299 121 304 90 238 81 247 314 98 190 7 157 100 227 152 273 351 79 270 160 117 192 267 296 354 6 236 169 214 202 330 112 325 303 253 180 78 40 222 138 207 216 358



Per capita2 (dollars) 10,503 11,394 11,888 9,954 12,349 9,233 10,123 8,936 8,114 10,387 9,518 12,096 16,610 11,168 10,989 9,741 11,719 9,906 10,141 10,201 12,902 9,212 11,610 10,148 12,922 10,411 10,259 9,745 7,687 10,123 10,460 11,177 11,280 14,530 7,338 10,229 10,195 9,990 10,382 10,744 13,266 15,237 11,921 10,517 8,463 9,873 9,838 7,714 8,021



Percent change, 1997– Rank 2002 213 130 99 267 66 310 256 327 344 226 298 85 1 148 167 285 106 273 255 242 48 312 117 253 46 222 236 284 351 256 216 146 137 15 354 239 246 266 227 191 36 9 97 212 338 276 279 350 348 17.8 18.1 18.4 28.6 19.5 20.4 21.6 48.8 9.2 21.2 21.8 24.4 3.2 22.4 12.6 20.1 31.7 26.8 17.4 21.4 24.8 27.1 28.2 49.0 33.3 17.6 23.8 23.0 37.2 22.3 29.4 30.4 17.9 29.7 14.5 16.4 15.8 17.8 21.3 11.1 24.8 49.5 23.0 29.9 9.1 18.4 1.5 31.0 29.1



Rank 256 248 240 97 225 214 192 10 334 201 186 141 351 172 315 217 68 112 265 193 136 107 101 9 57 263 152 163 34 174 93 82 254 89 294 274 278 258 197 327 137 8 164 88 337 239 354 74 94



Per capita2 (dollars) 1,155 1,354 1,628 1,151 1,397 1,066 1,509 933 749 1,264 1,302 1,442 1,227 1,450 1,490 (NA) 1,548 1,581 1,275 1,240 1,309 932 1,554 1,059 1,185 1,001 705 (NA) 678 1,348 1,291 2,011 1,093 1,009 784 1,523 1,171 1,273 1,241 993 1,606 1,395 1,328 1,221 902 1,051 1,116 766 1,044



Rank 242 156 78 244 144 279 111 313 339 190 171 129 204 125 116 (NA) 103 94 182 197 168 314 101 281 226 300 342 (NA) 343 158 177 38 269 298 334 108 233 183 196 302 86 148 162 207 321 285 260 337 289



Total expenditures (million dollars) 1,116 2,554 3,216 4,076 1,823 837 961 2,675 878 3,750 4,111 16,181 1,052 971 3,329 1,974 3,730 8,109 4,103 1,189 922 1,982 839 2,442 832 532 875 18,214 1,634 1,236 1,770 98,385 805 538 870 514 974 3,488 1,296 652 1,649 442 2,039 3,927 1,172 2,075 3,533 966 1,022



Rank 205 118 102 75 155 260 237 113 250 88 73 21 218 231 100 148 90 44 74 196 242 145 259 124 261 330 253 19 171 192 160 2 266 329 255 336 230 95 187 299 169 345 141 81 198 139 93 234 221



Per capita3 (dollars) 4,261 5,923 15,722 5,931 4,741 5,862 6,874 4,234 8,298 5,740 12,554 6,393 6,205 7,373 5,047 8,704 10,327 9,101 4,663 6,117 5,013 6,650 6,865 5,933 6,921 4,709 5,851 11,208 4,178 5,630 14,741 19,403 4,978 4,224 6,768 5,049 6,490 5,992 8,716 5,498 5,612 4,000 4,663 5,061 5,164 5,245 5,957 6,517 5,989



Rank 322 172 5 170 296 176 99 323 56 183 13 129 138 82 254 48 28 44 301 148 262 111 100 169 93 298 178 22 327 191 8 2 268 324 104 253 122 159 47 204 194 339 301 252 240 232 164 119 160



State College, PA . . . . . . . . . . . . . . Stockton, CA . . . . . . . . . . . . . . . . . Sumter, SC . . . . . . . . . . . . . . . . . . Syracuse, NY . . . . . . . . . . . . . . . . Tallahassee, FL . . . . . . . . . . . . . . . Tampa-St. Petersburg-Clearwater, FL. Terre Haute, IN . . . . . . . . . . Texarkana, TX-Texarkana, AR. Toledo, OH . . . . . . . . . . . . . Topeka, KS . . . . . . . . . . . . . Trenton-Ewing, NJ . . . . . . . . Tucson, AZ . . . . . . . . . . . . . Tulsa, OK . . . . . . . Tuscaloosa, AL . . . Tyler, TX. . . . . . . . Utica-Rome, NY . . . Valdosta, GA . . . . . Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Vero Beach, FL . . . . . . . . . . . . . . . . . . . . . Victoria, TX . . . . . . . . . . . . . . . . . . . . . . . . Vineland-Millville-Bridgeton, NJ . . . . . . . . . . . Virginia Beach-Norfolk-Newport News, VA-NC . Visalia-Porterville, CA . . . . . . . . . . . . . . . . . Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . .



Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . Washington-Arlington-Alexandria, DC-VA-MD-WV Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . Weirton-Steubenville, WV-OH . . . . . . . . . . . . . . . . Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . Wheeling, WV-OH . Wichita, KS . . . . . . Wichita Falls, TX . . Williamsport, PA. . . Wilmington, NC . . . Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Winston-Salem, NC . . . . . . . . . . . . . Worcester, MA . . . . . . . . . . . . . . . . . Yakima, WA . . . . . . . . . . . . . . . . . . York-Hanover, PA . . . . . . . . . . . . . . . Youngstown-Warren-Boardman, OH-PA Yuba City, CA . . . . . . . . . . . . . . . . . Yuma, AZ . . . . . . . . . . . . . . . . . . . . – Represents zero.

1 2 3



NA Not available.



Includes only establishments with payroll. Based on resident population estimated as of July 1, 2002. Based on resident population estimated as of July 1, 2003. 4 The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld Counties on November 15, 2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield is treated as if it were a county when data are available to do so. 5 The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis, MO-IL MSA. Sources: U.S. Bureau of Labor Statistics, U.S. Census Bureau, U.S. Federal Deposit Insurance Corporation (FDIC), and Office of Thrift Supervision (OTS). For more information, see , , and . See Tables B-9, B-10, and B-11 of the State and Metropolitan Area Data Book: 2006.



E–36



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Subject Index

Note: This index lists table and page locations for the subjects covered in the four data tables of this publication. It is an alphabetic presentation of subjects. If a subject is not covered for a specific table (geography), the corresponding references are blank.



You may visit us on the Web at http://www.census.gov/compendia/smadb



Subject Index



Subject Index



Table A. States Page A Accidents and fatalities . . . . . . . . . . . . . . . Accommodation and food services: Average annual pay . . . . . . . . . . . . . . . . Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . Employment . . . . . . . . . . . . . . . . . . . . . . . Establishments . . . . . . . . . . . . . . . . . . . . Gross state product . . . . . . . . . . . . . . . . Sales . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Acreage, farm . . . . . . . . . . . . . . . . . . . . . . . Administrative and waste services. . . . . . Advanced degrees . . . . . . . . . . . . . . . . . . . Age groups. . . . . . . . . . . . . . . . . . . . . . . . . . Aggravated assault . . . . . . . . . . . . . . . . . . . Agriculture . . . . . . . . . . . . . . . . . . . . . . . . . . Exports . . . . . . . . . . . . . . . . . . . . . . . . . . . Farms . . . . . . . . . . . . . . . . . . . . . . . . . . . . Value . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Aid to state and local governments . . . . . AIDS (Acquired Immunodeficiency Syndrome) . . . . . . . . . . . . . . . . . . . . . . . . . Alcohol-related crashes . . . . . . . . . . . . . . . Alzheimer’s disease, deaths . . . . . . . . . . . Ambulatory health care services . . . . . . . American Indian, Alaska Native population. . . . . . . . . . . . . . . . . . . . . . . . . . Apparel and textiles . . . . . . . . . . . . . . . . . . Apportionment, U.S. House of Representatives . . . . . . . . . . . . . . . . . . . . Area . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Arts, entertainment, and recreation: Average annual pay . . . . . . . . . . . . . . . . Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . Employment . . . . . . . . . . . . . . . . . . . . . . . Establishments . . . . . . . . . . . . . . . . . . . . Gross state product . . . . . . . . . . . . . . . . Asian population . . . . . . . . . . . . . . . . . . . . . Assaults . . . . . . . . . . . . . . . . . . . . . . . . . . . . Associate’s degree . . . . . . . . . . . . . . . . . . . Automobile: Dealers . . . . . . . . . . . . . . . . . . . . . . . . . . . Fatalities . . . . . . . . . . . . . . . . . . . . . . . . . . Insurance . . . . . . . . . . . . . . . . . . . . . . . . . Mileage . . . . . . . . . . . . . . . . . . . . . . . . . . . Registrations . . . . . . . . . . . . . . . . . . . . . . Theft . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Average annual pay by industry. . . . . . . . B Bachelor’s degree . . . . . . . . . . . . . . . . . . . . Balance sheet of farming sector . . . . . . . Table



Table B. Metro Areas Page Table



Table C. Metro Areas With Counties Page Table



Table D. Micropolitan Areas Page Table



19, 94 42, 43 60, 61, 100 42, 43, 100 100 54, 55



A-13, 67 A-32 A-44, 72 A-32, 72 A-72 A-41 174–179, E-32–E-36 B-10, E-17



69, 73, 74 60, 61 29 5–8, E-4 32, 33 69–74 68 73, 74 73, 74 106, 107 25, 26 94 19 22 9, 10, E-9 85 117, 118 3, E-2 42, 43 60, 61, 100 42, 43, 100 100 54, 55 9, 10, E-9 19 29 87–89 94 97, 98 92, 93 91–93 32, 33 41–43 29 70, 71



A-50, 53 A-44 A-22 A-3, 4, E-3 A-25 A-50–53 A-49 A-53 A-53 A-77 A-19 A-67 A-13 A-16 A-5, E-9 A-61 A-87 A-1, E-1 A-32 A-44, 72 A-32, 72 A-72 A-41 A-5, E-9 A-13 A-22 A-63 A-67 A-70 A-66 A-65, 66 A-25 A-31, 32 A-22 A-51 120–125, E-12–E-16 B-1, E-13 132–137, E-17–E-21 B-3, E-14 188–207 C-1



162–167



B-8



132–137, E-17–E-21



B-3, E-14



188–207



C-1



162–167 138–143



B-8 B-4 208–227 C-2



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



I–1



Table A. States Page Banking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Bankruptcy . . . . . . . . . . . . . . . . . . . . . . . . . . Births and birth rates . . . . . . . . . . . . . . . . . Black or African American: Births . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Elected officials . . . . . . . . . . . . . . . . . . . . Infant mortality rates. . . . . . . . . . . . . . . . Population. . . . . . . . . . . . . . . . . . . . . . . . . Building and material supply stores. . . . . Building permits. . . . . . . . . . . . . . . . . . . . . . Buildings, farms. . . . . . . . . . . . . . . . . . . . . . Bridges . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Burglary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Business starts . . . . . . . . . . . . . . . . . . . . . . Business bankruptcies . . . . . . . . . . . . . . . . C Cancer, deaths . . . . . . . . . . . . . . . . . . . . . . Capital punishment . . . . . . . . . . . . . . . . . . . Cardiovascular disease, deaths . . . . . . . . Cerebrovascular disease, deaths. . . . . . . Children: Abuse and neglect . . . . . . . . . . . . . . . . . Health insurance . . . . . . . . . . . . . . . . . . . Immunized . . . . . . . . . . . . . . . . . . . . . . . . Infant deaths . . . . . . . . . . . . . . . . . . . . . . Population by age . . . . . . . . . . . . . . . . . . School enrollment . . . . . . . . . . . . . . . . . . School expenditures . . . . . . . . . . . . . . . . School lunch program participants . . . Chlamydia. . . . . . . . . . . . . . . . . . . . . . . . . . . Cigarette smoking . . . . . . . . . . . . . . . . . . . . Circulation of newspapers . . . . . . . . . . . . . Cirrhosis, deaths . . . . . . . . . . . . . . . . . . . . . Civilian labor force . . . . . . . . . . . . . . . . . . . Clothing and clothing accessories stores . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Coal . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Colleges and universities. . . . . . . . . . . . . . Commercial banks . . . . . . . . . . . . . . . . . . . Commodity transportation . . . . . . . . . . . . . Communications . . . . . . . . . . . . . . . . . . . . . Community hospitals . . . . . . . . . . . . . . . . . Computer and electronic products stores . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Computers, households with. . . . . . . . . . . Congress . . . . . . . . . . . . . . . . . . . . . . . . . . . Construction: Average annual pay . . . . . . . . . . . . . . . . Building permits. . . . . . . . . . . . . . . . . . . . Contracts . . . . . . . . . . . . . . . . . . . . . . . . . Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . Employment . . . . . . . . . . . . . . . . . . . . . . . Gross state product . . . . . . . . . . . . . . . . Industries . . . . . . . . . . . . . . . . . . . . . . . . . . . Units authorized . . . . . . . . . . . . . . . . . . . Valuation of construction . . . . . . . . . . . . Corporation income tax . . . . . . . . . . . . . . . Corrections employment . . . . . . . . . . . . . . Cost of living index . . . . . . . . . . . . . . . . . . . Credit unions . . . . . . . . . . . . . . . . . . . . . . . . Crime and crime rates . . . . . . . . . . . . . . . . 97, 98 64, 65 15, 16 16 117, 118 17, 18 9, 10, E-9 87–89 81 74 93 33 65 65 19 34 19 19 34 23, E-10 25, 26 17, 18 5-8, E-4 27, 30 28 110, E-11 25, 26 24, E-10 96 19 37–39 87–89 75, 79, 80 29, 51–53 97, 98 91 95 21 85 95 115, 116 42, 43 81 81 60, 61, 81 42, 43, 81 54, 55 42, 43, 54, 55, 60, 61 81 81 106, 107 35, 36 51–53, E-8 97, 98 32–34 Table A-70 A-46 A-10, 11 A-11 A-87 A-12 A-5, E-9 A-63 A-58 A-53 A-66 A-25 A-46 A-46 A-13 A-26 A-13 A-13 A-26 A-17, E-10 A-19 A-12 A-3, 4, E-3 A-20, 23 A-21 A-80, E-12 A-19 A-18, E-11 A-69 A-13 A-28, 29 A-63 A-54, 56, 57 A-22, 40 A-70 A-65 A-68 A-15 A-61 A-68 A-85, 86 A-32 A-58 A-58 A-44, 58 A-32, 58 A-41 A-32, 41, 44 A-58 A-58 A-77 A-27 A-40, E-7 A-70 A-25, 26



Table B. Metro Areas Page 174–179 144–149 144–149 Table B-10 B-5 B-5



Table C. Metro Areas With Counties Page Table



Table D. Micropolitan Areas Page Table



132–137, E-17–E-21 156–161, E-27–E-31



B-3, E-14



188–207



C-1



B-7, E-16



73, 92, 32, 64, 64,



144–149 132–137



B-5 B-3



168–173



B-9



174–179



B-10



150–155



B-6



I–2



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A. States Page Crop sales . . . . . . . . . . . . . . . . . . . . . . . . . . Cropland . . . . . . . . . . . . . . . . . . . . . . . . . . . . D Deaths and death rates . . . . . . . . . . . . . . . Causes . . . . . . . . . . . . . . . . . . . . . . . . . . . Infant . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Motor vehicle accidents . . . . . . . . . . . . . Debt, farm. . . . . . . . . . . . . . . . . . . . . . . . . . . Degree-granting institutions . . . . . . . . . . . Density, population . . . . . . . . . . . . . . . . . . . Department of Defense . . . . . . . . . . . . . . . Department stores . . . . . . . . . . . . . . . . . . . Diabetes . . . . . . . . . . . . . . . . . . . . . . . . . . . . Diseases . . . . . . . . . . . . . . . . . . . . . . . . . . . . Disposable personal income. . . . . . . . . . . Divorces . . . . . . . . . . . . . . . . . . . . . . . . . . . . Drinking, heavy . . . . . . . . . . . . . . . . . . . . . . Driver’s licenses . . . . . . . . . . . . . . . . . . . . . Dropouts . . . . . . . . . . . . . . . . . . . . . . . . . . . . E Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . . . Accommodation and food services . . . Arts, entertainment, and recreation services. . . . . . . . . . . . . . . . . . . . . . . . . . Construction . . . . . . . . . . . . . . . . . . . . . . . Education and health . . . . . . . . . . . . . . . Federal government . . . . . . . . . . . . . . . . Financial activities. . . . . . . . . . . . . . . . . . Government . . . . . . . . . . . . . . . . . . . . . . . Health . . . . . . . . . . . . . . . . . . . . . . . . . . . . Information . . . . . . . . . . . . . . . . . . . . . . . . Manufacturing . . . . . . . . . . . . . . . . . . . . . Professional and business services . . Retail . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Transportation and warehousing . . . . . Education . . . . . . . . . . . . . . . . . . . . . . . . . . . Appropriations . . . . . . . . . . . . . . . . . . . . . Attainment . . . . . . . . . . . . . . . . . . . . . . . . Degree-granting institutions . . . . . . . . . Elementary and secondary . . . . . . . . . . Employment . . . . . . . . . . . . . . . . . . . . . . . Enrollment . . . . . . . . . . . . . . . . . . . . . . . . Kindergarten. . . . . . . . . . . . . . . . . . . . . . . Elementary and secondary . . . . . . . . . . Higher education . . . . . . . . . . . . . . . . . . . Expenditures . . . . . . . . . . . . . . . . . . . . . . Faculty. . . . . . . . . . . . . . . . . . . . . . . . . . . . Federal grants . . . . . . . . . . . . . . . . . . . . . Finances . . . . . . . . . . . . . . . . . . . . . . . . . . Higher education . . . . . . . . . . . . . . . . . . . High school graduates . . . . . . . . . . . . . . Industry: Average annual pay . . . . . . . . . . . . . . . . Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . Employment . . . . . . . . . . . . . . . . . . . . . . . Gross state product . . . . . . . . . . . . . . . . School lunch program . . . . . . . . . . . . . . Services . . . . . . . . . . . . . . . . . . . . . . . . . . Teachers . . . . . . . . . . . . . . . . . . . . . . . . . . 60, 61, 69 100 100 81 99 108 97, 98 102 96 82, 83 99 90 A-44, 50 A-72 A-72 A-58 A-71 A-78 A-70 A-74 A-69 A-59 A-71 A-64 72 73, 74 17–19 19 17, 18 94 70, 71 31 3, E-2 114 87–89 19, 24, E-10 19 56–59 12, 20 24, E-10 92, 93 29 Table A-52 A-53 A-12, 13 A-13 A-12 A-67 A-51 A-24 A-1, E-1 A-84 A-63 A-13, 18, E-11 A-13 A-42, 43 A-7, 14 A-18, E-11 A-66 A-22



Table B. Metro Areas Page Table



Table C. Metro Areas With Counties Page Table



Table D. Micropolitan Areas Page Table



144–149 144–149



B-5 B-5



174–179, E-27–E-31 174–179



B-10, E-16



228–247



C-3



180–185, E-27–E-31 102–107 E-27–E-31 174–179 138–143, E-17–E-21



B-11, E-16 B-8 E-16 B-10



228–247



C-3



228–246 228–246 228–246



C-3 C-3 C-3



B-4, E-14 B-4



30 29 31 27, 28 28, 42, 43 27, 30 27 27 30 28 31 28 28 29–31 29 42, 43 60, 61 42, 43 54, 55 110, E-11 31 28



A-23 A-22 A-24 A-20, 21 A-21, 32 A-20, 23 A-20 A-20 A-23 A-21 A-24 A-21 A-21 A-22–24 A-22 A-32 A-44 A-32 A-41 A-80, E-12 A-24 A-21



138–143



180–185, E-32–E-36



B-11, E-17



138–143



B-4



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



I–3



Table A. States Page Industry—Con. Title 1 programs . . . . . . . . . . . . . . . . . . . Education and health services . . . . . . . Elderly: Medicare and Medicaid . . . . . . . . . . . . . Social security . . . . . . . . . . . . . . . . . . . . . Supplemental security income . . . . . . . Elections: Congressional . . . . . . . . . . . . . . . . . . . . . Governor. . . . . . . . . . . . . . . . . . . . . . . . . . Presidential. . . . . . . . . . . . . . . . . . . . . . . . Representatives. . . . . . . . . . . . . . . . . . . . Senators . . . . . . . . . . . . . . . . . . . . . . . . . . Electric energy. . . . . . . . . . . . . . . . . . . . . . . Electric industry . . . . . . . . . . . . . . . . . . . . . . Electric utilities. . . . . . . . . . . . . . . . . . . . . . . Electronics and appliances stores . . . . . . Employment: Accommodation and food services . . . Affiliates . . . . . . . . . . . . . . . . . . . . . . . . . . Apparel and textiles . . . . . . . . . . . . . . . . Arts, entertainment, and recreation services . . . . . . . . . . . . . . . . . . . . . . . . . Business starts . . . . . . . . . . . . . . . . . . . . Civilian. . . . . . . . . . . . . . . . . . . . . . . . . . . . Computer and electronic products. . . . Construction . . . . . . . . . . . . . . . . . . . . . . . Education . . . . . . . . . . . . . . . . . . . . . . . . . Education and health services . . . . . . . Federal government . . . . . . . . . . . . . . . . Female labor force . . . . . . . . . . . . . . . . . Finance and insurance. . . . . . . . . . . . . . Financial activities. . . . . . . . . . . . . . . . . . Foreign direct investment . . . . . . . . . . . Government . . . . . . . . . . . . . . . . . . . . . . . Health care and social assistance . . . Information . . . . . . . . . . . . . . . . . . . . . . . . Machinery . . . . . . . . . . . . . . . . . . . . . . . . . Male labor force . . . . . . . . . . . . . . . . . . . Management of companies and enterprises . . . . . . . . . . . . . . . . . . . . . . . Manufacturing . . . . . . . . . . . . . . . . . . . . . Motor vehicle and parts . . . . . . . . . . . . . Natural resource industries . . . . . . . . . . Nonfarm . . . . . . . . . . . . . . . . . . . . . . . . . . Private . . . . . . . . . . . . . . . . . . . . . . . . . . . . Private nonfarm business . . . . . . . . . . . Professional and business services . . Professional and technical services . . Real estate and rental and leasing . . . Retail trade. . . . . . . . . . . . . . . . . . . . . . . . Size-class of establishments. . . . . . . . . Sources of job growth . . . . . . . . . . . . . . State government . . . . . . . . . . . . . . . . . . Transportation and warehousing . . . . . Travel generated . . . . . . . . . . . . . . . . . . . Utilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . Wholesale trade . . . . . . . . . . . . . . . . . . . Energy: Consumption . . . . . . . . . . . . . . . . . . . . . . Electric utilities. . . . . . . . . . . . . . . . . . . . . 106, 107 99 113, E-11 110, E-11 111, E-11 115, 116 117, 118 115 116 115 51–53, 80, E-8 76–78 51–53, E-8 87–89 100 68 85 42, 43 64, 65 37, 38, 40 85 42, 43, 81 42, 43 99 108 37, 38 42, 43 97, 98 68 42, 43, 102–104, 108 42, 43 42, 43, 96 85 37, 38 42, 43 42, 43, 82–84 85 75 67 41–43 67 99 42, 43 42, 43 42, 43 67 64, 65 103, 104 90 101 76–78 42, 43 79 76–78 Table A-77 A-71 A-83, E-12 A-80, E-12 A-81, E-12 A-85, 86 A-87 A-85 A-86 A-85 A-40, 57, E-7 A-55 A-40, E-7 A-63 A-72 A-49 A-61 A-32 A-46 A-28, 30 A-61 A-32, 58 A-32 A-71 A-78 A-28 A-32 A-70 A-49 A-32, 74, 75, 78 A-32 A-32, 69 A-61 A-28 A-32 A-32, 59, 60 A-61 A-54 A-48 A-31, 32 A-48 A-71 A-32 A-32 A-32 A-48 A-46 A-75 A-64 A-73 A-55 A-32 A-56 A-55



Table B. Metro Areas Page Table



Table C. Metro Areas With Counties Page Table



Table D. Micropolitan Areas Page Table



150–155 150–155



B-6 B-6



174–179



B-10



180–185



B-11



168–173 168–173



B-9 B-9



248–267 248–267



C-4 C-4



174–179



B-10



I–4



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A. States Page Energy—Con. Expenditures . . . . . . . . . . . . . . . . . . . . . . Gas utilities. . . . . . . . . . . . . . . . . . . . . . . . Net generation . . . . . . . . . . . . . . . . . . . . . Sales . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Source. . . . . . . . . . . . . . . . . . . . . . . . . . . . Engineering indicators . . . . . . . . . . . . . . . . Establishments . . . . . . . . . . . . . . . . . . . . . . Accommodation and food services . . . Arts, entertainment, and recreation services. . . . . . . . . . . . . . . . . . . . . . . . . . Education and health services . . . . . . . Financial activities. . . . . . . . . . . . . . . . . . Information . . . . . . . . . . . . . . . . . . . . . . . . Manufacturing . . . . . . . . . . . . . . . . . . . . . Natural resource industries . . . . . . . . . . Private nonfarm . . . . . . . . . . . . . . . . . . . . Professional and business services . . Retail . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Transportation and warehousing . . . . . Utilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . Executions . . . . . . . . . . . . . . . . . . . . . . . . . . Exercise . . . . . . . . . . . . . . . . . . . . . . . . . . . . Exports . . . . . . . . . . . . . . . . . . . . . . . . . . . . . F Failures, business . . . . . . . . . . . . . . . . . . . . Families: Income . . . . . . . . . . . . . . . . . . . . . . . . . . . Poverty . . . . . . . . . . . . . . . . . . . . . . . . . . . Public assistance . . . . . . . . . . . . . . . . . . Farms and characteristics: Acreage. . . . . . . . . . . . . . . . . . . . . . . . . . . Balance sheet . . . . . . . . . . . . . . . . . . . . . Commodity . . . . . . . . . . . . . . . . . . . . . . . . Cropland . . . . . . . . . . . . . . . . . . . . . . . . . . Crops. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . Finances . . . . . . . . . . . . . . . . . . . . . . . . . . Income . . . . . . . . . . . . . . . . . . . . . . . . . . . Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Livestock. . . . . . . . . . . . . . . . . . . . . . . . . . Marketing . . . . . . . . . . . . . . . . . . . . . . . . . Number . . . . . . . . . . . . . . . . . . . . . . . . . . . Operators . . . . . . . . . . . . . . . . . . . . . . . . . Product . . . . . . . . . . . . . . . . . . . . . . . . . . . Sales . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Size . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Value . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Fatalities, motor vehicles . . . . . . . . . . . . . . FDIC-insured financial institutions . . . . . Federal civilian earnings . . . . . . . . . . . . . . Federal government . . . . . . . . . . . . . . . . . . Federal grants . . . . . . . . . . . . . . . . . . . . . . . FEMA (Federal Emergency Management Agency) . . . . . . . . . . . . . . . Females . . . . . . . . . . . . . . . . . . . . . . . . . . . . Civilian labor force . . . . . . . . . . . . . . . . . Civilian noninstitutionalized population . . . . . . . . . . . . . . . . . . . . . . . Males per 100 females . . . . . . . . . . . . . Fertility rate . . . . . . . . . . . . . . . . . . . . . . . 51–53, 80 76–78 76–78 76–78 79 62, 63 67 100 100 99 97, 98 96 82, 83 75 Table A-40, 57 A-55 A-55 A-55 A-56 A-45 A-48 A-72 A-72 A-71 A-70 A-69 A-59 A-54



Table B. Metro Areas Page Table



Table C. Metro Areas With Counties Page Table



Table D. Micropolitan Areas Page Table



168–173 174–179



B-9 B-10



162–167 168–173, E-32–E-36



B-8



B-9, E-17 B-10



99 90 76–78 34 24, E-10 68, 84 64, 65 46, E-5 47, E-6 111, E-11 69, 73, 74 70, 71 72 73, 74 72 60, 61, 69 70, 71 70, 71 69, 73, 74 72 72 69, 73, 74 73, 74 72 73, 74 73, 74 70, 71, 73,74 94 97, 98 60, 61 102, 108 108 106, 107 37–39 37, 38 7, 8 16



A-71 174–179 A-64 A-55 A-26 A-18, E-11 A-49, 60 A-46 A-35, E-4 A-36, E-5 A-81, E-12 A-50, 53 A-51 A-52 A-53 A-52 A-44, 50 A-51 A-51 A-50, 53 A-52 A-52 A-50, 53 A-53 A-52 A-53 A-53 A-51, 53 A-67 A-70 A-44 A-74, 78 A-78 A-77 132–137 A-28, 29 A-28 A-4 A-11 B-3



174–179



B-10



132–137



B-3



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



I–5



Table A. States Page Finance and insurance industry: Average annual pay . . . . . . . . . . . . . . . . Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . Employment . . . . . . . . . . . . . . . . . . . . . . . Gross state product . . . . . . . . . . . . . . . . Finances: Education . . . . . . . . . . . . . . . . . . . . . . . . . Government . . . . . . . . . . . . . . . . . . . . . . . Financial activities. . . . . . . . . . . . . . . . . . . . Firearms . . . . . . . . . . . . . . . . . . . . . . . . . . . . Firms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Food stamp program . . . . . . . . . . . . . . . . . Food stores . . . . . . . . . . . . . . . . . . . . . . . . . Foreign direct investment . . . . . . . . . . . . . Forestry, fishing, related activities, and other . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Freight shipments . . . . . . . . . . . . . . . . . . . . Fuels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Furniture and home furnishings stores . . G Gas, natural . . . . . . . . . . . . . . . . . . . . . . . . . Gas utility industry . . . . . . . . . . . . . . . . . . . Gasoline stations. . . . . . . . . . . . . . . . . . . . . Gasoline tax rate. . . . . . . . . . . . . . . . . . . . . General merchandise stores. . . . . . . . . . . Gonorrhea . . . . . . . . . . . . . . . . . . . . . . . . . . Government: Average annual pay . . . . . . . . . . . . . . . . Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . Employment . . . . . . . . . . . . . . . . . . . . . . . Federal: Aid to state and local governments . . . . . . . . . . . . . . . . . . . Finances . . . . . . . . . . . . . . . . . . . . . . . . Food stamp program . . . . . . . . . . . . . Funds and grants . . . . . . . . . . . . . . . . Lands. . . . . . . . . . . . . . . . . . . . . . . . . . . Property . . . . . . . . . . . . . . . . . . . . . . . . Public assistance . . . . . . . . . . . . . . . . School lunch programs . . . . . . . . . . . Tax collections . . . . . . . . . . . . . . . . . . . Gross state product . . . . . . . . . . . . . . State: Education expenditures . . . . . . . . . . . Employment . . . . . . . . . . . . . . . . . . . . . Finances . . . . . . . . . . . . . . . . . . . . . . . . Gasoline taxes. . . . . . . . . . . . . . . . . . . Highways, expenditures. . . . . . . . . . . Individual income taxes . . . . . . . . . . . Legislature . . . . . . . . . . . . . . . . . . . . . . Public welfare, expenditures . . . . . . . Tax collections . . . . . . . . . . . . . . . . . . . Transfer payments . . . . . . . . . . . . . . . Governor. . . . . . . . . . . . . . . . . . . . . . . . . . . . Grant awards . . . . . . . . . . . . . . . . . . . . . . . . Gross book value . . . . . . . . . . . . . . . . . . . . Gross state product . . . . . . . . . . . . . . . . . . H Health: Expenditures . . . . . . . . . . . . . . . . . . . . . . Heart diseases. . . . . . . . . . . . . . . . . . . . . High blood cholesterol . . . . . . . . . . . . . . 51–53, 75, 79, 80, E-8 76–78 87–89 51–53, E-8 87–89 25, 26 42, 43 60, 61, 102 42, 43, 102 A-40, 54, 56, 57, E-7 A-55 A-63 A-40, E-7 A-63 A-19 A-32 A-44, 74 A-32, 74 42, 60, 42, 54, 43 61 43 55 Table A-32 A-44 A-32 A-41 A-21 A-75, 76, 78 A-70 A-13 A-46, 47 A-80, E-12 A-63 A-49 A-44 A-64 A-54–57 A-63



Table B. Metro Areas Page Table



Table C. Metro Areas With Counties Page Table



Table D. Micropolitan Areas Page Table



28 103–105, 108 97, 98 19 64–66 110, E-11 87–89 68 60, 61 90 75–80 87–89



168–173



B-9



106, 107 108 110, E-11 108 109 109 111, E-11 110, E-11 102 54, 55 103, 104 103, 104 103–105 51–53, E-8 103, 104 51–53, E-8 117, 118 103, 104 102 112 117, 118 108 68 54, 55



A-77 A-78 A-80, E-12 A-78 A-79 A-79 A-81, E-12 A-80, E-12 A-74 A-41 A-75 A-75 A-75, 76 A-40, E-7 A-75 A-40, E-7 A-87 A-75 A-74 A-82 A-87 A-78 A-49 A-41



25, 26 19 24, E-10



A-19 A-13 A-18, E-11



I–6



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A. States Page Health—Con. High blood pressure . . . . . . . . . . . . . . . . Hospital, community . . . . . . . . . . . . . . . . Hospital, cost of living index . . . . . . . . . Insurance . . . . . . . . . . . . . . . . . . . . . . . . . Medicare and medicaid . . . . . . . . . . . . . Nurses. . . . . . . . . . . . . . . . . . . . . . . . . . . . Physicians . . . . . . . . . . . . . . . . . . . . . . . . Service industry. . . . . . . . . . . . . . . . . . . . Health and personal care stores . . . . . . . Health care and social assistance industry: Average annual pay . . . . . . . . . . . . . . . . Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . Employment . . . . . . . . . . . . . . . . . . . . . . . Gross state product . . . . . . . . . . . . . . . . Heating fuels . . . . . . . . . . . . . . . . . . . . . . . . High school graduates . . . . . . . . . . . . . . . . High-speed telecommunication lines. . . . Higher education . . . . . . . . . . . . . . . . . . . . . Highway: Accidents and fatalities . . . . . . . . . . . . . Federal aid . . . . . . . . . . . . . . . . . . . . . . . . Gasoline taxes. . . . . . . . . . . . . . . . . . . . . Mileage . . . . . . . . . . . . . . . . . . . . . . . . . . . Hispanic origin: Births . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Elected officials . . . . . . . . . . . . . . . . . . . . Population. . . . . . . . . . . . . . . . . . . . . . . . . HIV (Human Immunodeficiency Virus) . . Homeowners insurance . . . . . . . . . . . . . . . Homeownership rates . . . . . . . . . . . . . . . . Home sales . . . . . . . . . . . . . . . . . . . . . . . . . Homicide. . . . . . . . . . . . . . . . . . . . . . . . . . . . Hospital industry . . . . . . . . . . . . . . . . . . . . . Hospitals . . . . . . . . . . . . . . . . . . . . . . . . . . . . Beds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Cost . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Patients . . . . . . . . . . . . . . . . . . . . . . . . . . . Personnel . . . . . . . . . . . . . . . . . . . . . . . . . Visits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Households . . . . . . . . . . . . . . . . . . . . . . . . . By income level . . . . . . . . . . . . . . . . . . . . Median income . . . . . . . . . . . . . . . . . . . . With computers . . . . . . . . . . . . . . . . . . . . With Internet access. . . . . . . . . . . . . . . . With telephones. . . . . . . . . . . . . . . . . . . . House of Representatives . . . . . . . . . . . . . Housing: Cost of living . . . . . . . . . . . . . . . . . . . . . . Homeownership rates . . . . . . . . . . . . . . Median value . . . . . . . . . . . . . . . . . . . . . . New units authorized . . . . . . . . . . . . . . . Prices . . . . . . . . . . . . . . . . . . . . . . . . . . . . Rent . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Sales . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Starts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Units and characteristics . . . . . . . . . . . . Vacancy rate . . . . . . . . . . . . . . . . . . . . . . 24, E-10 21 51–53 23, E-10 113, E-11 22 22 22 87–89 Table A-18, E-11 A-15 A-40 A-17, E-10 A-83, E-12 A-16 A-16 A-16 A-63



Table B. Metro Areas Page Table



Table C. Metro Areas With Counties Page Table



Table D. Micropolitan Areas Page Table



150–155 150–155, E-22–E-26



B-6



B-6, E-15



42, 43 60, 61 42, 43 54, 55 48, 51–53, E-8 29 95 29, 30 19, 94 106, 107 51–53, E-8 92, 93 16 117, 118 9, 10, E-9 19 97, 98 50, E-7 50 19 22 21 21 51–53 21 21 21 11 45 45, E-5 95 95 95 116–118 51–53, E-7 50, E-7 49, E-7 81 51–53, E-7 49, E-7 50 50 48 50, E-7



A-32 A-44 A-32 A-41 A-37, 40, E-7 A-22 A-68 A-22, 23 A-13, 67 A-77 A-40, E-7 A-66 A-11 A-87 A-5, E-9 A-13 A-70 A-39, E-6 A-39 A-13 A-16 A-15 A-15 A-40 A-15 A-15 A-15 A-6 A-34 A-34, E-4 A-68 A-68 A-68 A-86, 87 A-40, E-6 A-39, E-6 A-38, E-6 A-58 A-40, E-6 A-38, E-6 A-39 A-39 A-37 A-39, E-6 156–161, E-22–E-26 156–161 B-7, E-15 B-7 132–137, E-17–E-21 B-3, E-14 188–207 C-1



156–161, E-22–E-26



B-7, E-15



150–155 150–155



B-6 B-6



156–161



B-7



156–161, E-22–E-26



B-7, E-15



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



I–7



Table A. States Page Hydroelectric power . . . . . . . . . . . . . . . . . . I Immigrants . . . . . . . . . . . . . . . . . . . . . . . . . . Incorporations, new business . . . . . . . . . Income . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Banking . . . . . . . . . . . . . . . . . . . . . . . . . . . Disposable personal income. . . . . . . . . Family . . . . . . . . . . . . . . . . . . . . . . . . . . . . Farm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Household . . . . . . . . . . . . . . . . . . . . . . . . Median . . . . . . . . . . . . . . . . . . . . . . . . . . . Per capita . . . . . . . . . . . . . . . . . . . . . . . . . Personal . . . . . . . . . . . . . . . . . . . . . . . . . . Poverty status . . . . . . . . . . . . . . . . . . . . . 79 13 64, 65 97, 98 56, 57 46, E-5 70, 71 45, E-5 Table A-56 A-8 A-46



Table B. Metro Areas Page Table



Table C. Metro Areas With Counties Page Table



Table D. Micropolitan Areas Page Table



162–167 A-70 A-42 A-35, E-4 A-51 A-34, E-4 A-34, 35, E-4 A-43 A-42 A-36, E-5 A-40, 79, E-7 A-12 A-10 A-10 A-10 A-13 A-19 A-69 A-32 A-44 A-32 A-41 A-70 A-17, E-10 A-70 A-70 A-70 A-70 A-13 A-75 A-73 A-68 A-66 A-46 A-27 A-26 168–173, E-27–E-31 120–125



B-8



45, 46, E-5 58, 59 56, 57 47, E-6 51–53, 109, Tax . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . E-8 Infant: Deaths and death rates . . . . . . . . . . . . . 17, 18 Low birth weight . . . . . . . . . . . . . . . . . . . 15 Teenage mothers . . . . . . . . . . . . . . . . . . 15 Unmarried women. . . . . . . . . . . . . . . . . . 15 Influenza: Death rate. . . . . . . . . . . . . . . . . . . . . . . . . 19 Vaccine . . . . . . . . . . . . . . . . . . . . . . . . . . . 25, 26 Information industry . . . . . . . . . . . . . . . . . . 96 Average annual pay . . . . . . . . . . . . . . . . 42, 43 Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . 60, 61 Employment . . . . . . . . . . . . . . . . . . . . . . . 42, 43 Gross state product . . . . . . . . . . . . . . . . 54, 55 Insurance: Automobile . . . . . . . . . . . . . . . . . . . . . . . . 97, 98 Health . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23, E-10 Homeowners . . . . . . . . . . . . . . . . . . . . . . 97, 98 Life . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97, 98 Renters . . . . . . . . . . . . . . . . . . . . . . . . . . . 97, 98 Insured savings institutions . . . . . . . . . . . 97, 98 Intentional self-harm . . . . . . . . . . . . . . . . . . 19 Intergovernmental revenue . . . . . . . . . . . . 103, 104 International visitor travel impact . . . . . . . 101 Internet access, households with. . . . . . . 95 Interstate highway mileage . . . . . . . . . . . . 92, 93 J Job growth . . . . . . . . . . . . . . . . . . . . . . . . . . Justice system . . . . . . . . . . . . . . . . . . . . . . . Juvenile arrest rate . . . . . . . . . . . . . . . . . . . L Labor force, civilian. . . . . . . . . . . . . . . . . . . Land: Area . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Farmland. . . . . . . . . . . . . . . . . . . . . . . . . . Federal . . . . . . . . . . . . . . . . . . . . . . . . . . . Foreign direct investments . . . . . . . . . . Larceny-theft . . . . . . . . . . . . . . . . . . . . . . . . Licenses . . . . . . . . . . . . . . . . . . . . . . . . . . . . Life insurance . . . . . . . . . . . . . . . . . . . . . . . Liver diseases, deaths . . . . . . . . . . . . . . . . M Machinery . . . . . . . . . . . . . . . . . . . . . . . . . . . Males: Civilian labor force . . . . . . . . . . . . . . . . . 37–39 3, E-2 69, 73, 74 109 68 32, 33 92, 93 97, 98 19 85 37–39 64, 65 35, 36 34



162–167



B-8



144–149



B-5



A-28, 29 A-1, E-1 A-50, 53 A-79 A-49 A-25 A-66 A-70 A-13 A-61 A-28, 29



B-9, E-16 B-1



248–267



C-4



270–285



D-1



I–8



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A. States Page Males—Con. Civilian noninstitutionalized population . . . . . . . . . . . . . . . . . . . . . . . Males per 100 females . . . . . . . . . . . . . Malignant neoplasm, deaths . . . . . . . . . . . Management of companies and enterprises: Average annual pay . . . . . . . . . . . . . . . . Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . Employment . . . . . . . . . . . . . . . . . . . . . . . Gross state product . . . . . . . . . . . . . . . . Manufacturing: Average annual pay . . . . . . . . . . . . . . . . Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . Employment . . . . . . . . . . . . . . . . . . . . . . . Establishments . . . . . . . . . . . . . . . . . . . . Exports . . . . . . . . . . . . . . . . . . . . . . . . . . . Gross state product . . . . . . . . . . . . . . . . Production workers . . . . . . . . . . . . . . . . . Sectors . . . . . . . . . . . . . . . . . . . . . . . . . . . Value added . . . . . . . . . . . . . . . . . . . . . . . Value of shipments . . . . . . . . . . . . . . . . . Marriage . . . . . . . . . . . . . . . . . . . . . . . . . . . . Medicaid . . . . . . . . . . . . . . . . . . . . . . . . . . . . Medicare . . . . . . . . . . . . . . . . . . . . . . . . . . . . Migration . . . . . . . . . . . . . . . . . . . . . . . . . . . . Military earnings . . . . . . . . . . . . . . . . . . . . . Mineral production and fuels. . . . . . . . . . . Mining . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Minivans . . . . . . . . . . . . . . . . . . . . . . . . . . . . Motor fuel, state tax collections . . . . . . . . Motor vehicles: Accidents and fatalities . . . . . . . . . . . . . Dealers . . . . . . . . . . . . . . . . . . . . . . . . . . . Driver’s licenses . . . . . . . . . . . . . . . . . . . Registrations . . . . . . . . . . . . . . . . . . . . . . Theft . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Traffic fatalities. . . . . . . . . . . . . . . . . . . . . Motor vehicle and parts sector . . . . . . . . . Motorcycles, registrations . . . . . . . . . . . . . Murder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N National parks . . . . . . . . . . . . . . . . . . . . . . . Native Hawaiian and Other Pacific Islander population . . . . . . . . . . . . . . . . . . Natural gas. . . . . . . . . . . . . . . . . . . . . . . . . . Natural resource industries . . . . . . . . . . . . New business starts . . . . . . . . . . . . . . . . . . New private housing units . . . . . . . . . . . . . Newspapers . . . . . . . . . . . . . . . . . . . . . . . . . Nonfarm employment . . . . . . . . . . . . . . . . . Nuclear power . . . . . . . . . . . . . . . . . . . . . . . Nurses. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nursing and residential care facilities . . . O Obesity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Oil. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Overseas visitors. . . . . . . . . . . . . . . . . . . . . Table



Table B. Metro Areas Page Table



Table C. Metro Areas With Counties Page Table



Table D. Micropolitan Areas Page Table



37, 38 7, 8 19



A-28 A-4 A-13



132–137



B-3



42, 60, 42, 54,



43 61 43 55



A-32 A-44 A-32 A-41 A-32 A-44, 59 A-32, 59 A-59 A-60 A-41 A-59, 60 A-61 A-60 A-59 A-7, 14 A-83, E-12 A-83, E-12 A-1 A-44, 78 A-54 A-44 A-65 A-77 A-13, 67 A-63 A-66 A-65, 66 A-25 A-67 A-61 A-66 A-25 A-73 A-5, E-9 A-40, 54, 56, 57, E-7 A-54 A-46 A-58 A-69 A-48 A-56 A-16 A-16 A-18, E-11 A-54, 56, 57 A-73 132–137 B-3 150–155, E-22–E-26 150–155, E-22–E-26 126–131 B-6, E-15 B-6, E-15 B-2



42, 43 60, 61, 82, 83 42, 43, 82, 83 82, 83 84 54, 55 82–84 85 84 82, 83 12, 20 113, E-11 113, E-11 3 60, 61, 108 75 60, 61 91 106, 107 19, 94 87–89 92, 93 91–93 32, 33 94 85 92, 93 32, 33 101 9, 10, E-9 51–53, 75, 79, 80, E-8 75 64, 65 81 96 67 79 22 22 24, E-10 75, 79, 80 101



156–161 168–173



B-7 B-9 248–267 C-4



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



I–9



Table A. States Page Overweight . . . . . . . . . . . . . . . . . . . . . . . . . . P Patents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pay: Accommodation and food services . . . Arts, entertainment, and recreation . . . Construction . . . . . . . . . . . . . . . . . . . . . . . Educational services. . . . . . . . . . . . . . . . Finance and insurance. . . . . . . . . . . . . . Firms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Government . . . . . . . . . . . . . . . . . . . . . . . Health care and social assistance . . . . Information . . . . . . . . . . . . . . . . . . . . . . . . Management of companies and enterprises . . . . . . . . . . . . . . . . . . . . . . . Manufacturing . . . . . . . . . . . . . . . . . . . . . Natural resource industry . . . . . . . . . . . Private industries. . . . . . . . . . . . . . . . . . . Private nonfarm business . . . . . . . . . . . Professional and technical services . . Real estate and rental and leasing . . . Retail trade. . . . . . . . . . . . . . . . . . . . . . . . Transportation and warehousing . . . . . Utilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . Wholesale trade . . . . . . . . . . . . . . . . . . . Personal income . . . . . . . . . . . . . . . . . . . . . Per capita . . . . . . . . . . . . . . . . . . . . . . . . . Petroleum . . . . . . . . . . . . . . . . . . . . . . . . . . . Physicians . . . . . . . . . . . . . . . . . . . . . . . . . . Pick-ups . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pneumonia, deaths. . . . . . . . . . . . . . . . . . . Police. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Population: Age groups. . . . . . . . . . . . . . . . . . . . . . . . Civilian noninstitutionalized . . . . . . . . . . Components of change . . . . . . . . . . . . . Density . . . . . . . . . . . . . . . . . . . . . . . . . . . Foreign born. . . . . . . . . . . . . . . . . . . . . . . Hispanic origin . . . . . . . . . . . . . . . . . . . . . Households . . . . . . . . . . . . . . . . . . . . . . . Immigrants . . . . . . . . . . . . . . . . . . . . . . . . Language spoken at home . . . . . . . . . . Metropolitan . . . . . . . . . . . . . . . . . . . . . . . Micropolitan . . . . . . . . . . . . . . . . . . . . . . . Migration . . . . . . . . . . . . . . . . . . . . . . . . . . Nonmetropolitan . . . . . . . . . . . . . . . . . . . Place of birth . . . . . . . . . . . . . . . . . . . . . . Poverty . . . . . . . . . . . . . . . . . . . . . . . . . . . Prisoners. . . . . . . . . . . . . . . . . . . . . . . . . . Projections . . . . . . . . . . . . . . . . . . . . . . . . Race . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Rank . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Resident . . . . . . . . . . . . . . . . . . . . . . . . . . Sex. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Urban. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Voting age . . . . . . . . . . . . . . . . . . . . . . . . Poverty . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Presidential vote . . . . . . . . . . . . . . . . . . . . . Prison expenditures . . . . . . . . . . . . . . . . . . Prisoners. . . . . . . . . . . . . . . . . . . . . . . . . . . . Private earnings . . . . . . . . . . . . . . . . . . . . . Private nonfarm business . . . . . . . . . . . . . 24, E-10 62, 63 42, 42, 42, 42, 42, 43 43 43 43 43 66 42, 43 42, 43 42, 43 Table A-18, E-11 A-45 A-32 A-32 A-32 A-32 A-32 A-47 A-32 A-32 A-32 A-32 A-32, 60 A-54 A-31, 32 A-48 A-32 A-32 A-32 A-32 A-55 A-32 A-42 A-43 A-54, 56, 57 A-16 A-65 A-13 A-27



Table B. Metro Areas Page Table



Table C. Metro Areas With Counties Page Table



Table D. Micropolitan Areas Page Table



162–167 162–167



B-8 B-8



42, 43 42, 43, 84 75 41–43 67 42, 43 42, 43 42, 43 42, 43 76–78 42, 43 56, 57 58, 59 75, 79, 80 22 91 19 35, 36



162–167



B-8



162–167 162–167



B-8 B-8



162–167 162–167



B-8 B-8



228–247 228–247



C-3 C-3



150–155



B-6



5–8, E-4 37, 38 3 3, E-2 14 9, 10, E-9 11 13 13 4, E-9 4, E-9 3 4, E-9 14 47, E-6 34 5, 6, E-3 9, 10, E-9 3, E-2 3, E-2 7, 8 4, E-9 115 47, E-6 115 35, 36 34 60, 61 67



A-3, 4, E-3 A-28 A-1 A-1, E-1 A-9 A-5, E-9 A-6 A-8 A-8 A-2, E-8 A-2, E-8 A-1 A-2, E-8 A-9 A-36, E-5 A-26 A-3, E-2 A-5, E-9 A-1, E-1 A-1, E-1 A-4 A-2, E-8 A-85 A-36, E-5 A-85 A-27 A-26 A-44 A-48



132–137, E-17–E-21 126–131 138–143 132–137



B-3, E-14 B-2 B-4 B-3



126–131



B-2



138–143



B-4



132–137



B-3



132–137



B-3



168–173



B-9



248–267



C-4



I–10



State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A. States Page Prices, utilities . . . . . . . . . . . . . . . . . . . . . . . Production workers . . . . . . . . . . . . . . . . . . . Professional and business services . . . . Professional and technical services: Average annual pay . . . . . . . . . . . . . . . . Employment . . . . . . . . . . . . . . . . . . . . . . . Gross state product . . . . . . . . . . . . . . . . Projections . . . . . . . . . . . . . . . . . . . . . . . . . . Property: Crime. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Farm, value . . . . . . . . . . . . . . . . . . . . . . . Federally owned . . . . . . . . . . . . . . . . . . . Public aid . . . . . . . . . . . . . . . . . . . . . . . . . . . Public schools . . . . . . . . . . . . . . . . . . . . . . . Public welfare expenditures, state government . . . . . . . . . . . . . . . . . . . . . . . . R Race . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Railroad shipments . . . . . . . . . . . . . . . . . . . Rankings: Average annual pay . . . . . . . . . . . . . . . . Income . . . . . . . . . . . . . . . . . . . . . . . . . . . Population. . . . . . . . . . . . . . . . . . . . . . . . . Population projections . . . . . . . . . . . . . . Rape . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Real estate and rental and leasing industry: Average annual pay . . . . . . . . . . . . . . . . Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . Employment . . . . . . . . . . . . . . . . . . . . . . . Gross state product . . . . . . . . . . . . . . . . Receipts . . . . . . . . . . . . . . . . . . . . . . . . . . . . Registrations, motor vehicles . . . . . . . . . . Rent . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Renters insurance. . . . . . . . . . . . . . . . . . . . Representatives, U.S. (see also Congress). . . . . . . . . . . . . . . . . . . . . . . . . . Respiratory disease, death . . . . . . . . . . . . Retail trade: Average annual pay . . . . . . . . . . . . . . . . Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . Employment . . . . . . . . . . . . . . . . . . . . . . . Establishments . . . . . . . . . . . . . . . . . . . . Gross state product . . . . . . . . . . . . . . . . Sales . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Shopping centers . . . . . . . . . . . . . . . . . . Stores . . . . . . . . . . . . . . . . . . . . . . . . . . . . Retired workers, benefits. . . . . . . . . . . . . . Robbery . . . . . . . . . . . . . . . . . . . . . . . . . . . . S Safety belt usage . . . . . . . . . . . . . . . . . . . . Salaries: Annual pay . . . . . . . . . . . . . . . . . . . . . . . . Federal . . . . . . . . . . . . . . . . . . . . . . . . . . . Production workers . . . . . . . . . . . . . . . . . Teachers . . . . . . . . . . . . . . . . . . . . . . . . . . Sales, retail . . . . . . . . . . . . . . . . . . . . . . . . . Savings institutions . . . . . . . . . . . . . . . . . . . 76–78 82–84 99 42, 43 42, 43 54, 55 5, 6, E-3 32, 33 73, 74 109 111, E-11 27–29 103, 104 9, 10, E-9 90 41 58, 59 3, E-2 5, 6, E-3 32, 33 Table A-55 A-59, 60 A-71 A-32 A-32 A-41 A-3, E-2 A-25 A-53 A-79 A-81, E-12 A-20–22 A-75 A-5, E-9 A-64 A-31 A-43 A-1, E-1 A-3, E-2 A-25



Table B. Metro Areas Page Table



Table C. Metro Areas With Counties Page Table



Table D. Micropolitan Areas Page Table



132–137



B-3



42, 43 60, 61 42, 43 54, 55 28, 66, 101, 106, 107 91–93 49, E-7 97, 98 116 19



A-32 A-44 A-32 A-41 A-21, 47, 73, 77 A-65, 66 A-38, E-6 A-70 A-86 A-13 162–167, 174–179 162–167, 174–179



42, 43 60, 61, 86 42, 43 86 54, 55 87–89 86 87–89 110, E-11 32, 33 94 41–43 108 82, 83 28 87–89 97, 98



A-32 A-44, 62 A-32 A-62 A-41 A-63 A-62 A-63 A-80, E-12 A-25 A-67 A-31, 32 A-78 A-59 A-21 A-63 A-70



B-8, B-10 B-8, B-10 228–247 C-3



150–155



B-6



162–167, 174–179, E-32–E-36 174–179



B-8, B-10, E-17 B-10



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U.S. Census Bureau



I–11



Table A. States Page School lunch program . . . . . . . . . . . . . . . . Schools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Science indicators. . . . . . . . . . . . . . . . . . . . Senate, U.S. (see also Congress) . . . . . . Senatorial vote. . . . . . . . . . . . . . . . . . . . . . . Shipments. . . . . . . . . . . . . . . . . . . . . . . . . . . Shopping centers . . . . . . . . . . . . . . . . . . . . Social security . . . . . . . . . . . . . . . . . . . . . . . Social welfare programs . . . . . . . . . . . . . . Sporting goods, hobby, book, and music stores. . . . . . . . . . . . . . . . . . . . . . . . State and local government: Employment . . . . . . . . . . . . . . . . . . . . . . . Federal aid . . . . . . . . . . . . . . . . . . . . . . . . State Children’s Health Insurance Program . . . . . . . . . . . . . . . . . . . . . . . . . . . State government: Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . Education expenditures . . . . . . . . . . . . . Employment . . . . . . . . . . . . . . . . . . . . . . . Expenditures . . . . . . . . . . . . . . . . . . . . . . Federal aid . . . . . . . . . . . . . . . . . . . . . . . . Finances . . . . . . . . . . . . . . . . . . . . . . . . . . Gasoline taxes. . . . . . . . . . . . . . . . . . . . . General operating fund . . . . . . . . . . . . . Public health expenditures . . . . . . . . . . Public welfare expenditures . . . . . . . . . Revenue . . . . . . . . . . . . . . . . . . . . . . . . . . Tax collections . . . . . . . . . . . . . . . . . . . . . Unemployment insurance . . . . . . . . . . . State legislatures, composition. . . . . . . . . State parks . . . . . . . . . . . . . . . . . . . . . . . . . . STD (sexually transmitted disease) cases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Stores . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Suicides . . . . . . . . . . . . . . . . . . . . . . . . . . . . Supplemental security income program . . . . . . . . . . . . . . . . . . . . . . . . . . . SUVs (sport utility vehicles) . . . . . . . . . . . Syphilis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . T Taxes: Federal . . . . . . . . . . . . . . . . . . . . . . . . . . . Gasoline . . . . . . . . . . . . . . . . . . . . . . . . . . Receipts generated by travel . . . . . . . . State government . . . . . . . . . . . . . . . . . . Teachers . . . . . . . . . . . . . . . . . . . . . . . . . . . . Teenage mothers . . . . . . . . . . . . . . . . . . . . Telecommunication . . . . . . . . . . . . . . . . . . . Telephones, households with . . . . . . . . . . Temporary Assistance for Needy Families (TANF) . . . . . . . . . . . . . . . . . . . . Theft/larceny . . . . . . . . . . . . . . . . . . . . . . . . Title 1 programs . . . . . . . . . . . . . . . . . . . . . Traffic fatalities. . . . . . . . . . . . . . . . . . . . . . . Transfer payments . . . . . . . . . . . . . . . . . . . Transportation (see also Motor vehicles and Highway). . . . . . . . . . . . . . . . . . . . . . . 110, E-11 27–29 62, 63 115, 116 115 82, 83, 90 86 110, E-11 110–113, E-11 87–89 103, 104 106, 107 113, E-11 60, 61 28, 30 103, 104 28, 30, 35, 36, 103–105 106, 107 103, 104 51–53, E-8 105 25, 26 103, 104 103, 104 51–53, 102, 106, 107, E-8 111, E-11 117, 118 101 25, 26 87–89 19 111, E-11 91 25, 26 Table A-80, E-12 A-20–22 A-45 A-85, 86 A-85 A-59, 64 A-62 A-80, E-12 A-80–83, E-12 A-63 A-75 A-77 A-83, E-12 A-44 A-21, 23 A-75 A-21, 23, 27, 75, 76 A-77 A-75 A-40, E-7 A-76 A-19 A-75 A-75 A-40, 74, 77, E-7 A-81, E-12 A-87 A-73 A-19 A-63 A-13 A-81, E-12 A-65 A-19



Table B. Metro Areas Page 138–143 Table B-4



Table C. Metro Areas With Counties Page Table



Table D. Micropolitan Areas Page Table



150–155



B-6



102, 109 51–53, E-8 101 51–53, 102, 105 28 15 95 95 111, E-11 32, 33 106, 107 94 112 90–94



A-74, 79 A-40, E-7 A-73 A-40, 74, 76 A-21 A-10 A-68 A-68 A-81, E-12 A-25 A-77 A-67 A-82 A-64–67



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State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



Table A. States Page Transportation—Con. Commodity shipments . . . . . . . . . . . . . . Cost of living . . . . . . . . . . . . . . . . . . . . . . Gross state product . . . . . . . . . . . . . . . . Transportation and warehousing . . . . . . . Travel. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Trucks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . U Unemployment. . . . . . . . . . . . . . . . . . . . . . . Unemployment insurance . . . . . . . . . . . . . Union membership . . . . . . . . . . . . . . . . . . . Universities and colleges. . . . . . . . . . . . . . Unmarried women. . . . . . . . . . . . . . . . . . . . Utilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Cost of living . . . . . . . . . . . . . . . . . . . . . . V Vacancy rates . . . . . . . . . . . . . . . . . . . . . . . Vehicle miles of travel . . . . . . . . . . . . . . . . Vehicle registrations . . . . . . . . . . . . . . . . . . Veterans . . . . . . . . . . . . . . . . . . . . . . . . . . . . Violent crime . . . . . . . . . . . . . . . . . . . . . . . . Vital statistics . . . . . . . . . . . . . . . . . . . . . . . . Voter participation . . . . . . . . . . . . . . . . . . . . Votes: Congressional . . . . . . . . . . . . . . . . . . . . . Governor. . . . . . . . . . . . . . . . . . . . . . . . . . Presidential. . . . . . . . . . . . . . . . . . . . . . . . Representatives, U.S. . . . . . . . . . . . . . . Senators, U.S. . . . . . . . . . . . . . . . . . . . . . Voting-age population. . . . . . . . . . . . . . . . . W Wages (see also Pay and Salaries) . . . . Water systems . . . . . . . . . . . . . . . . . . . . . . . Waterborne shipments . . . . . . . . . . . . . . . . Welfare programs . . . . . . . . . . . . . . . . . . . . White: Births . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Infant mortality rates. . . . . . . . . . . . . . . . Population. . . . . . . . . . . . . . . . . . . . . . . . . Wholesale trade: Average annual pay . . . . . . . . . . . . . . . . Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . Employment . . . . . . . . . . . . . . . . . . . . . . . Establishments . . . . . . . . . . . . . . . . . . . . Gross state product . . . . . . . . . . . . . . . . Widows . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Women: Births . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Labor force . . . . . . . . . . . . . . . . . . . . . . . . Public officials . . . . . . . . . . . . . . . . . . . . . Workers’ compensation . . . . . . . . . . . . . . . 28, 41–43, 82, 83, 108 76–78 90 110, 111, E-11 16 17, 18 9, 10, E-9 42, 43 60, 61, 86 42, 43 86 54, 55 12 15, 16 37–39 117, 118 111 A-21, 31, 32, 59, 78 A-55 A-64 A-80, 81, E-12 A-11 A-12 A-5, E-9 A-32 A-44, 62 A-32 A-62 A-41 A-7 A-10, 11 A-28, 29 A-87 A-81 39 111, E-11 44 29, 51-53 15 60, 61, 76–78 51–53, E-8 50 90 91–93 114 32, 33 15–19 115 115, 116 117, 118 115 116 115 115 A-29 A-81, E-12 A-33 A-22, 40 A-10 A-44, 55 A-40, E-7 A-39 A-64 A-65, 66 A-84 A-25 A-10–13 A-85 A-85, 86 A-87 A-85 A-86 A-85 A-85 91 51–53, E-8 54, 55 90 101 91 Table A-65 A-40, E-7 A-41 A-64 A-73 A-65



Table B. Metro Areas Page Table



Table C. Metro Areas With Counties Page Table



Table D. Micropolitan Areas Page Table



168–173, E-27–E-31



B-9, E-16



138–143



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State and Metropolitan Area Data Book: 2006

U.S. Census Bureau



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STATISTICAL ABSTRACT AND SUPPLEMENTS

Printed Products

State and Metropolitan Area Data Book: 2006. This volume, the sixth in a series, features almost 1,500 data items for the United States and individual states, counties, and metropolitan areas from a variety of sources. The tables include data published for 2005 population and housing unit estimates and many items from the 1990 and 2000 Censuses of Population and Housing. Information covers the following topical areas: age, agriculture, births, business establishments, communications, construction, cost of living, crime, deaths, education, elections, employment, energy, finance, government, health, households, housing, immigration, income, manufactures, marriages and divorces, media, natural resources, population, poverty, race and Hispanic origin, residence, retail sales, science and engineering, social services, tourism, transportation, and veterans. Tables contain a collection of data from the U.S. Census Bureau and other federal statistical bureaus, governmental administrative and regulatory agencies, private research bodies, trade associations, insurance companies, health associations, educational associations, and philanthropic foundations. GPO price: $47; GPO stock number: 003-024-09064-3. Statistical Abstract of the United States: 2006. Since 1878, the authoritative summary of statistics on the social, political, and economic organization of the United States. It includes a representative selection of statistics widely used by public officials, business analysts, educators, librarians, research workers, and students. GPO price: $35; GPO stock number: 003-024-09061-9. NTIS price: $35 plus handling fee; NTIS stock number: PB2006-965801. County and City Data Book: 2000. The latest in a series of publications that contains data for all counties and cities with a population of 25,000 or more. It includes 2000 census population data for places of 2,500 or more inhabitants. Also included is a complete set of state maps showing all counties, places of 25,000 or more, and metropolitan areas. GPO price: $16; GPO stock number: 003-024-08862-2. NTIS price: $65 plus handling fee; NTIS stock number: PB2002101674. GPO orders may be mailed to: Superintendent of Documents, Government Printing Office (GPO), P.O. Box 371954, Pittsburgh, PA 15250-7954. Payment must accompany order. Telephone: 202-512-1800 or 1-866-512-1800. Fax: 202-512-2250. Publications also available at 710 N. Capitol St., NW, Washington, DC 20401 (telephone: 202-512-0132). NTIS orders may be mailed to: National Technical Information Service (NTIS), U.S. Department of Commerce, 5285 Port Royal Road, Springfield, VA 22161. Payment must accompany order. Telephone: 703-605-6000 or 1-800-553-6847. Fax: 703-605-6000.



Electronic Products

State and Metropolitan Data Book: 2006 on CD-ROM. Contains tables covering state and metropolitan area data found in the printed version of this product, contains Adobe Acrobat software with hyperlinks to Excel spreadsheets and government Internet sites. Statistical Abstract of the United States: 2006 on CD-ROM. Contains more than 1,300 tables and graphs found in the print version, contains Adobe Acrobat software with hyperlinks to Excel spreadsheets and to the Internet. USA Counties on the Internet. Features over 5,700 data items for the United States, states, and counties. Covered topical areas include age, agriculture, banking, building permits, business patterns, crime, earnings, education, elections, employment, government, health, households, housing, income, labor force, manufactures, population, poverty, social programs, trade, veterans, vital statistics, and water use. Available at . Electronic product orders may be mailed to: U.S. Department of Commerce, U.S. Census Bureau, P.O. Box 277943, Atlanta, GA 30384-7943. Payment must accompany order. To order or obtain more information, call 301-763-4636. To fax orders, dial 1-888-249-7295; for fax inquiries, call 301-457-4714.



Essential data for any economic development official, regional planner, and urban researcher. A valuable addition for any academic and public library. A companion report to the Statistical Abstract of the United States and County and City Data Book.



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The 6th edition of the State and Metropolitan Area Data Book continues to provide the most complete source of comprehensive and useful information about the nation’s individual states and metropolitan areas. This edition features the latest information so that researchers and users can easily see the trends and changes affecting everyone today. It includes: • Complete listing and data for all metropolitan areas, including micropolitan areas for the first time. • The latest population estimates for all areas. • New rankings that highlight the findings and trends. • A new guide to state and key federal sources of information. • New cost of living indicator table for states. • Complete descriptions, source citations, and other important information about the data.