1990 Printed Reports Wisconsin (PDF)

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U.S. Department of Commerce
Economics and Statistics Administration
BUREAU OF THE CENSUS

1990 CPH-2-51

1990 Census of Population and Housing Population and Housing Unit Counts

Wisconsin

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ACKNOWLEDGMENTS

The Decennial Planning Division, Susan M. Miskura, Chief, coordinated and directed all census operations. Patricia A. Berman, Assistant Division Chief for Content and Data Products, directed the development and implementation of the 1990 Census Tabulation and Publication Program. Other assistant division chiefs were Robert R. Bair, Rachel F. Brown, James L. Dinwiddie, Allan A. Stephenson, and Edwin B. Wagner, Jr. The following branch chiefs made significant contributions: Cheryl R. Landman, Adolfo L. Paez, A. Edward Pike, and William A. Starr. Other important contributors were Linda S. Brudvig, Cindy S. Easton, Avis L. Foote, Carolyn R. Hay, Douglas M. Lee, Gloria J. Porter, and A. Nishea Quash. The Decennial Operations Division, Arnold A. Jackson, Chief, was responsible for processing and tabulating census data. Assistant division chiefs were: Donald R. Dalzell, Kenneth A. Riccini, Billy E. Stark, and James E. Steed. Processing offices were managed by Alfred Cruz, Jr., Earle B. Knapp, Jr., Judith N. Petty, Mark M. Taylor, Russell L. Valentine, Jr., Carol A. Van Horn, and C. Kemble Worley. The following branch chiefs made significant contributions: Jonathan G. Ankers, Sharron S. Baucom, Catharine W. Burt, Vickie L. Cotton, Robert J. Hemmig, George H. McLaughlin, Carol M. Miller, Lorraine D. Neece, Peggy S. Payne, William L. Peil, Cotty A. Smith, Dennis W. Stoudt, and Richard R. Warren. Other important contributors were Eleanor I. Banks, Miriam R. Barton, Danny L. Burkhead, J. Kenneth Butler, Jr., Albert A. Csellar, Donald H. Danbury, Judith A. Dawson, Donald R. Dwyer, Beverly B. Fransen, Katherine H. Gilbert, Lynn A. Hollabaugh, Ellen B. Katzoff, Randy M. Klear, Norman W. Larsen, Peter J. Long, Sue Love, Patricia O. Madson, Mark J. Matsko, John R. Murphy, Dan E. Philipp, Eugene M. Rashlich, Willie T. Robertson, Barbara A. Rosen, Sharon A. Schoch, Imelda B. Severdia, Diane J. Simmons, Emmett F. Spiers, Johanne M. Stovall, M. Lisa Sylla, and Jess D. Thompson. The Housing and Household Economic Statistics Division, Daniel H. Weinberg, Chief, developed the questionnaire content, designed the data tabulations, and reviewed the data for the economic and housing characteristics. Gordon W. Green, Jr., Assistant Division Chief for Economic Characteristics, and Leonard J. Norry, Assistant Division Chief for Housing Characteristics, directed the development of this work. The following branch chiefs made significant contributions: William A. Downs, Peter J. Fronczek, Patricia A. Johnson, Enrique J. Lamas, Charles T. Nelson, and Thomas S. Scopp. Other important contributors were Eleanor F. Baugher, Jeanne C. Benetti, Robert L. Bennefield, Robert W. Bonnette, William S. Chapin, Higinio Feliciano, Timothy S. Grall, Cynthia J. Harpine, Selwyn Jones, Mary C. Kirk, Richard G. Kreinsen, Gordon H. Lester, Mark S. Littman, Wilfred T. Masumura, John M. McNeil, Diane C. Murphy, George F. Patterson, Thomas J. Palumbo, Kirby G. Posey, John Priebe, Anne D. Smoler, and Carmina F. Young. The Population Division, Paula J. Schneider, Chief, developed the questionnaire content, designed the data tabulations, and reviewed the data for the demographic and social characteristics of the population. Philip N. Fulton, Assistant Division Chief for Census Programs, directed the development of this work. Other assistant division chiefs were Nampeo R. McKenney and Arthur J. Norton. The following branch and staff chiefs made significant contributions: Jorge H. del Pinal, Campbell J. Gibson, Roderick J. Harrison, Donald J. Hernandez, Jane H. Ingold, Martin T. O’Connell, Marie Pees, J. Gregory Robinson, Phillip A. Salopek, Paul M. Siegel, Robert C. Speaker, Gregory K. Spencer, and Cynthia M. Taeuber. Other important contributors were Celia G. Boertlein, Rosalind R. Bruno, Janice A. Costanzo, Rosemarie C. Cowan, Arthur R. Cresce, Larry G. Curran, Carmen DeNavas, Robert O. Grymes, Kristin A. Hansen, Mary C. Hawkins, Rodger V. Johnson, Michael J. Levin, Edna L. Paisano, Sherry B. Pollock, Stanley J. Rolark, A. Dianne Schmidley, Denise I. Smith, and Nancy L. Sweet. The Data User Services Division, Gerard C. Iannelli, then Chief, directed the development of data product dissemination and information to increase awareness, understanding, and use of census data. Marie G. Argana, Assistant Chief for Data User Services, directed preparation of electronic data products and their dissemination. Alfonso E. Mirabal, Assistant Chief for Group Information and Advisory Services, directed activities related to the National Services Program, State Data Centers, and preparation of training materials. The following branch chiefs made significant contributions: Deborah D. Barrett, Frederick G. Bohme, Larry W.

Carbaugh, James P. Curry, Samuel H. Johnson, John C. Kavaliunas, and Forrest B. Williams. Other important contributors were Molly Abramowitz, Celestin J. Aguigui, Barbara J. Aldrich, Delores A. Baldwin, Albert R. Barros, Geneva A. Burns, Carmen D. Campbell, James R. Clark, Virginia L. Collins, George H. Dailey, Jr., Barbara L. Hatchl, Theresa C. Johnson, Paul T. Manka, John D. McCall, Jo Ann Norris, David M. Pemberton, Sarabeth Rodriguez, Charles J. Wade, Joyce J. Ware, and Gary M. Young. The Geography Division, Robert W. Marx, Chief, directed and coordinated the census mapping and geographic activities. Jack R. George, Assistant Division Chief for Geoprocessing, directed the planning and development of the TIGER System and related software. Robert A. LaMacchia, Assistant Division Chief for Planning, directed the planning and implementation of processes for defining 1990 census geographic areas. Silla G. Tomasi, Assistant Division Chief for Operations, managed the planning and implementation of 1990 census mapping applications using the TIGER System. The following branch chiefs made significant contributions: Frederick R. Broome, Charles E. Dingman, Linda M. Franz, David E. Galdi, Dan N. Harding, Donald I. Hirschfeld, David B. Meixler, Peter Rosenson, Joel Sobel, Brian Swanhart, and Richard Trois. Other important contributors were Gerard Boudriault, Desmond J. Carron, Anthony W. Costanzo, Paul W. Daisey, Beverly A. Davis, Carl S. Hantman, Christine J. Kinnear, Terence D. McDowell, Linda M. Pike, Rose J. A. Quarato, Lourdes Ramirez, Gavin H. Shaw, Daniel L. Sweeney, Timothy F. Trainor, Phyllis S. Willette, and Walter E. Yergen. The Statistical Support Division, John H. Thompson, Chief, directed the application of mathematical statistical techniques in the design and conduct of the census. John S. Linebarger, Assistant Division Chief for Quality Assurance, directed the development and implementation of operational and software quality assurance. Henry F. Woltman, Assistant Division Chief for Census Design, directed the development and implementation of sample design, disclosure avoidance, weighting, and variance estimation. Howard Hogan and David V. Bateman were contributing assistant division chiefs. The following branch chiefs made significant contributions: Florence H. Abramson, Deborah H. Griffin, Richard A. Griffin, Lawrence I. Iskow, and Michael L. Mersch. Other important contributors were Linda A. Flores-Baez, Larry M. Bates, Somonica L. Green, James E. Hartman, Steven D. Jarvis, Alfredo Navarro, Eric L. Schindler, Carolyn T. Swan, and Glenn D. White. The 1990 Census Redistricting Data Office, Marshall L. Turner, Jr., Chief, assisted by Cathy L. Talbert, directed the development and implementation of the 1990 Census Redistricting Data Program. The Administrative and Publications Services Division, Walter C. Odom, Chief, provided direction for the census administrative services, publications, printing, and graphics functions. Michael G. Garland was a contributing assistant division chief. The following branch and staff chiefs made significant contributions: Bernard E. Baymler, Albert W. Cosner, Gary J. Lauffer, Gerald A. Mann, Clement B. Nettles, Russell Price, and Barbara J. Stanard. Other important contributors were Barbara M. Abbott, Robert J. Brown, David M. Coontz, and John T. Overby. The Data Preparation Division, Joseph S. Harris, Chief, provided management of a multi-operational facility including kit preparation, procurement, warehousing and supply, and census processing activities. Plummer Alston, Jr., and Patricia M. Clark were assistant division chiefs. The Field Division, Stanley D. Matchett, Chief, directed the census data collection and associated field operations. Richard L. Bitzer, Richard F. Blass, Karl K. Kindel, and John W. Marshall were assistant division chiefs. Regional office directors were William F. Adams, John E. Bell, LaVerne Collins, Dwight P. Dean, Arthur G. Dukakis, Sheila H. Grimm, William F. Hill, James F. Holmes, Stanley D. Moore, Marvin L. Postma, John E. Reeder, and Leo C. Schilling. The Personnel Division, David P. Warner, Chief, provided management direction and guidance to the staffing, planning pay systems, and employee relations programs for the census. Colleen A. Woodard was the assistant chief. The Technical Services Division, C. Thomas DiNenna, Chief, designed, developed, deployed, and produced automated technology for census data processing.

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1990 CPH-2-51

1990 Census of Population and Housing Population and Housing Unit Counts

Wisconsin

U.S. Department of Commerce Barbara Hackman Franklin, Secretary Rockwell A. Schnabel, Deputy Secretary
Economics and Statistics Administration J. Antonio Villamil, Under Secretary for Economic Affairs
BUREAU OF THE CENSUS Barbara Everitt Bryant, Director

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Economics and Statistics Administration
Jeffrey Mayer, Acting Under Secretary for Economic Affairs

BUREAU OF THE CENSUS Harry A. Scarr, Acting Director
Charles D. Jones, Associate Director for Decennial Census William P. Butz, Associate Director for Demographic Programs Bryant Benton, Associate Director for Field Operations Bryant Benton, Acting Associate Director for Management Services Peter A. Bounpane, Assistant Director for Decennial Census

For sale by the Superintendent of Documents, U.S. Government Printing Office, Washington, DC 20402.

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CONTENTS

Page List of Statistical Tables ---------------------------------------------------------------------------------------------------How to Use This Census Report ------------------------------------------------------------------------------------------Table Finding Guide--------------------------------------------------------------------------------------------------------User Notes -----------------------------------------------------------------------------------------------------------------iv I–1 II–1 III–1

Statistical Tables (For detailed list of statistical tables, see page iv.) ---------------------------------------------------

1

APPENDIXES A. B. C. D. E. F. G. Area Classifications ----------------------------------------------------------------------------------------------------Definitions of Subject Characteristics ---------------------------------------------------------------------------------Accuracy of the Data---------------------------------------------------------------------------------------------------Collection and Processing Procedures--------------------------------------------------------------------------------Facsimiles of Respondent Instructions and Questionnaire Pages --------------------------------------------------Data Products and User Assistance ----------------------------------------------------------------------------------Maps --------------------------------------------------------------------------------------------------------------------A–1 B–1 C–1 D–1 E–1 F–1 G–1

CONTENTS

iii

LIST OF STATISTICAL TABLES
[An asterisk (* ) indicates that the table was omitted because there were no qualifying geographic area(s) or population group(s)]

Table 1. Population: Earliest Census to 1990 State Urban and Rural Housing Units: 1950 to 1990 State Urban and Rural Population and Housing Units: 1940 to 1990 State County Land Area, Population, and Housing Units: 1990 State County Population by Urban and Rural Residence: 1990 State County Housing Units by Urban and Rural Residence: 1990 State County Land Area by Urban and Rural Residence: 1990 State County Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 State County County Subdivision Place Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Place and [In Selected States] County Subdivision 1990 Population Rank; Population and Housing Units: 1980 and 1990 Place [2,500 or More Persons] Population 1990 and 1980; Housing Units and Land Area: 1990 State Urban and Rural and Size of Place

Page 1

Table 12. Urban and Rural Population: 1930 to 1990 Size of Place Population Inside and Outside Metropolitan Area by Urban and Rural and Size of Place: 1990 State Inside Metropolitan Area Outside Metropolitan Area Housing Units Inside and Outside Metropolitan Area by Urban and Rural and Size of Place: 1990 State Inside Metropolitan Area Outside Metropolitan Area Land Area in Square Kilometers Inside and Outside Metropolitan Area by Urban and Rural and Size of Place: 1990 State Inside Metropolitan Area Outside Metropolitan Area Land Area in Square Miles Inside and Outside Metropolitan Area by Urban and Rural and Size of Place: 1990 State Inside Metropolitan Area Outside Metropolitan Area Population Inside and Outside Metropolitan Area by Size of Place: 1990 State Inside Metropolitan Area Outside Metropolitan Area Housing Units Inside and Outside Metropolitan Area by Size of Place: 1990 State Inside Metropolitan Area Outside Metropolitan Area Land Area in Square Kilometers Inside and Outside Metropolitan Area by Size of Place: 1990 State Inside Metropolitan Area Outside Metropolitan Area Land Area in Square Miles Inside and Outside Metropolitan Area by Size of Place: 1990 State Inside Metropolitan Area Outside Metropolitan Area

Page 74

2.

2

13.

75

3.

3

14.

77

4.

4 15.

5.

6

79

6.

16. 8

81

7.

10 17.

83

8.

14 18.

85

9.

43

19.

87

10.

71 20. 73

11.

89

iv
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CONTENTS

Table 21. Population and Housing Units 1970 to 1990; Land Area and Density for Metropolitan Area: 1990 Metropolitan Area Population, Housing Units, and Land Area for Metropolitan Area by Population Size Class of Metropolitan Area: 1990 Urban and Rural Population Size Class of Metropolitan Area Metropolitan Area

Page

Table 23. 91 24. 93 Population, Housing Units, and Land Area for Urbanized Area: 1990 Urbanized Area Population, Housing Units, and Land Area for Urbanized Area by Population Size Class of Urbanized Area: 1990 Size of Place Population Size Class of Urbanized Area Urbanized Area

Page 97

22.

101

CONTENTS
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v

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HOW TO USE THIS CENSUS REPORT

CONTENTS
Contents of the Appendixes - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - I–3 Graphics - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - I–3 How to Find Geographic Areas and Subject-Matter Data - - - - - I–1 How to Use the Statistical Tables - - - - - - - - - - - - - - - - - - - - - - - - - - - I–2 User Notes - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - I–3

HOW TO FIND GEOGRAPHIC AREAS AND SUBJECT-MATTER DATA
This report includes a table finding guide to assist the user in locating those statistical tables that contain the data that are needed. The table finding guide lists the geographic areas and the subjects shown in this report. To determine which tables in this report show data for a particular topic, find the subject in the column headings at the top of the table finding guide and then look down the left-hand column for the desired type of geographic area. Below is an example of a table finding guide.

INTRODUCTION
Data from the 1990 census are presented in several different report series. These series are published under the following three subject titles: 1. 1990 Census of Population (1990 CP) 2. 1990 Census of Housing (1990 CH) 3. 1990 Census of Population and Housing (1990 CPH) The types of data and the geographic areas shown in reports differ from one series to another. In most series, there is one report for each State, the District of Columbia, Puerto Rico, and the Virgin Islands of the United States (Virgin Islands), plus a United States summary report. Some series include reports for American Indian and Alaska Native areas, metropolitan areas, and urbanized areas. See appendix F for detailed information about the various report series; additional 1990 census data products such as computer tapes, microfiche, and laser disks; other related materials; and sources of assistance. The data from the 1990 census were derived from a limited number of basic questions asked of the entire population and about every housing unit (referred to as the 100-percent questions), and from additional questions asked of a sample of the population and housing units (referred to as the sample questions). Two primary versions of questionnaires were used: a short form containing only the 100-percent questions and a long form containing both the 100-percent questions and the additional sample questions. Appendix E presents facsimiles of the questionnaire pages and the respondent instructions used to collect the data included in this report. Appendix F lists the subjects that are covered by the 100-percent and sample components of the 1990 census. Legal provision for this census, which was conducted as of April 1, 1990, was made in the Act of Congress of August 31, 1954 (amended August 1957, December 1975, and October 1976), which is codified in Title 13, United States Code.

HOW TO USE THIS CENSUS REPORT

I–1

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HOW TO USE THE STATISTICAL TABLES Parts of a Statistical Table
The census data included in printed reports are arranged in tables. Each table includes four major parts: (1) heading, (2) boxhead, (3) stub, and (4) data field. A typical census report table is illustrated below.

The stub is located at the left edge of the table. It includes a listing of line or row captions or descriptions. At the top of the stub is the stubhead. The stubhead is considered to be an extension of the table title and usually shows generic geographic area designations and restrictions. In the stub, several features are used to help the user better understand the contents of the table. Usually, a block of data lines is preceded by a sidehead. The sidehead, similar to a spanner, describes and classifies the stub entries following it. The use of indentation in a stub indicates the relationship of one data line to another. Indented data lines represent subcategories that in most instances, sum to a total. Occasionally in tables, it is desirable to show one or more single-line subcategories that do not sum to the total. The unit of measure, such as dollars, is shown when it is not clear from the general wording of the data line. The data field is that part of the table that contains the data. It extends from the bottom of the boxhead to the bottom of the table and from the right of the stub to the right-hand edge of the page. Both geographic and subject-matter terms appear in tables. It is important to read the definitions of the terms used in the tables because census terms often are defined in special ways that reflect the manner in which the questions were asked and the data were tabulated. Definitions of geographic terms are provided in appendix A. Subject-matter terms are defined in appendix B.

Symbols and Geographic Abbreviations
The following symbols are used in the tables and explanations of subjects covered in this report: • A dash ‘‘–’’ represents zero or a figure or percent that rounds to less than 0.1. • Three dots ‘‘...’’ mean not applicable. • (NA) means not available. The heading consists of the table number, title, and headnote. The table number indicates the position of the table within the report, while the title is a brief statement indicating the classification, nature, and time reference of the data presented in the table. The headnote is enclosed in brackets and is located under the title. It contains statements that qualify, explain, or provide information pertaining to the entire table. The boxhead is under the heading. This portion of the table, which contains the individual column heads or captions, describes the data in each vertical column. In the boxhead of many tables, a spanner appears across and above two or more column heads or across two or more lower spanners. The purpose of a spanner is to classify or qualify items below it or separate the table into identifiable blocks in terms of major aspects of the data. I–2 • The prefix ‘‘r’’ indicates that the count has been revised since publication of 1980 reports or that the area was erroneously omitted or not shown in the correct geographic relationship in the 1980 census reports. This symbol appears only in the 1990 CPH-2, Population and Housing Unit Counts reports. • A dagger ‘‘†’’ next to the name of a geographic area indicates that there has been a geographic change(s) (for example, an annexation or detachment, a new incorporation, or a name change) since the information published for the 1980 census for that area. This symbol appears only in the 1990 CPH-2, Population and Housing Unit Counts reports. The geographic change information for the entities in a State is shown in the ‘‘User Notes’’ section of the 1990 CPH-2, Population and HOW TO USE THIS CENSUS REPORT

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Housing Unit Counts report, for that State. The information for all States appears in the ‘‘User Notes’’ section of the technical documentation for Summary Tape Files 1 and 3.
• A plus sign ‘‘+ ’’ or a minus sign ‘‘–’’ following a figure denotes that the median falls in the initial or terminal category of an open-ended distribution. (For more information on medians, see the discussion under ‘‘Derived Measures’’ in appendix B.) • A minus sign ‘‘–’’ preceding a figure denotes decrease. The following geographic abbreviations are used in the tables and explanations of subjects covered in this report: • A ‘‘(pt.)’’ next to the name of a geographic area in a hierarchical presentation indicates that the geographic entity is only partially located in the superior geographic entity. For example, a ‘‘(pt.)’’ next to a place name in a county subdivision-place hierarchy indicates that the place is located in more than one county subdivision. (Places also may be ‘‘split’’ by county, congressional district, urban/ rural, metropolitan area, voting district, and other geographic boundaries, depending on the presentation.) Other geographic entities also can be‘‘split’’ by a higher-level entity. The exception is a tabulation block, which is unique within all geographic entities in census products. • BG is block group. • BNA is block numbering area. • CDP is census designated place. • CMSA is consolidated metropolitan statistical area. • MA is metropolitan area. • MSA is metropolitan statistical area. • PMSA is primary metropolitan statistical area. • TDSA is tribal designated statistical area. • TJSA is tribal jurisdiction statistical area. • unorg. is unorganized territory. • VTD is voting district. Census tables often include derived measures such as medians, means, percents, and ratios. More detailed information about derived measures is provided in appendix B.

USER NOTES
User notes include corrections, errata, and related explanatory information. This section appears directly before the statistical tables in census reports unless graphics are shown. It presents information about unique characteristics of the report and changes or corrections made too late to be reflected in the text or tables themselves.

CONTENTS OF THE APPENDIXES
Appendix A—Provides definitions of the types of geographic areas and related information used in census reports. Appendix B—Contains definitions for the subject-matter items used in census reports, including explanations of derived measures, limitations of the data, and comparability with previous censuses. The subjects are listed alphabetically. In reports that contain both population and housing characteristics, the population characteristics are described first, followed by the explanations of the housing subjects. Appendix C—Provides information on confidentiality of the data, allocations and substitutions, and sources of errors in the data. Appendix D—Explains the residence rules used in counting the population and housing units, presents a brief overview of data collection operations, and describes processing procedures used to convert data from unedited questionnaires to final 1990 publications and tapes. This appendix also clarifies the procedures used to collect data for persons abroad at the time of the census, where persons on military bases or away at school were counted, how data were collected for persons in institutions, and which citizens of foreign countries were included in the U.S. data. Appendix E—Presents a facsimile of the 1990 census questionnaire pages and the respondent instructions used to collect the data in this report. Appendix F—Summarizes the 1990 census data products program by describing the information available in printed reports and in other sources, such as microfiche or computer tape; and provides information on where to obtain assistance. Appendix G—Contains maps depicting the geographic areas shown in this report.

GRAPHICS
Charts, statistical maps, and other graphic summaries are included in some 1990 census reports. If graphics are shown in a report, they are presented immediately after the ‘‘User Notes’’ section.

HOW TO USE THIS CENSUS REPORT

I–3

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TABLE FINDING GUIDE

Subjects by Type of Geographic Area and Table Number
[Subjects covered in this report are shown at the top, and types of geographic areas are shown on the left side. For a description of area classifications, see appendix A. For definitions and explanations of subject characteristics, see appendix B] Population counts Housing unit counts Change from previous censuses Land area Density

Area
1990 census THE STATE Total . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,3,4,5,8, 11,13,17, 22 1,3,8,11 Previous censuses

Change from previous censuses

1990 census

Previous censuses

Popu- Housing lation unit

Number of places

1,4

2,3,4,6,8, 11,14,18, 22 2,6,11, 14,22 6,11,14, 22

2,3,8

2,4

4,7,8,11, 15,16,19, 20,22 7,11,15, 16,22 7,11,15, 16,22

4,8

4,8

11,13,14, 15,16,17, 18,19,20

Urban and rural . . . . . . . . . . . . . . . . . . 1,5,11,12, 13,22 Urban and rural by size of place . . . Inside and outside metropolitan area by urban and rural and size of place . . . . . . . . . . . . . . . . . . . . . . . . Inside and outside metropolitan area by size of place . . . . . . . . . . . . 5,11,12, 13,22

1,11,12 11,12

1,5 ...

2 ...

2,6 ...

... ...

... 1,11,12,13, 14,15,16 ... 11,12,13, 14,15,16

13,22

...

...

14,22

...

...

15,16,22

...

...

13,14,15, 16 13,14,15, 16,17,18, 19,20 ...

13,17,22

...

...

14,18,22

...

...

15,16,19, 20,22

...

...

Inside and outside urbanized area by size of place . . . . . . . . . . . . . . . . . COUNTY Total . . . . . . . . . . . . . . . . . . . . . . . . . . . Urban and rural . . . . . . . . . . . . . . . . . . Urban and rural by size of place . . . PLACE By county and county subdivision . . Alphabetically for the State . . . . . . . . By 1990 population rank . . . . . . . . . . COUNTY SUBDIVISION By county . . . . . . . . . . . . . . . . . . . . . . . Alphabetically for the State METROPOLITAN AREA Total and geographic components . By urban and rural and population size class of metropolitan area. . . . URBANIZED AREA Total and geographic components . By size of place and population size class of urbanized area . . . . . . ... Not applicable.
1

24

...

...

24

...

...

24

...

...

3,4,8 5 5

3,8 ... ...

4 5 ...

3,4,8 6 6

3,8 ... ...

4 6 ...

4,7,8 7 7

4,8 ... ...

4,8 ... ...

... ... ...

8 9 10

8 9 10

... ... ...

8 9 10

8 9 10

... ... ...

8 9 ...

8 9 ...

8 9 ...

... ... ...

8 9

8 9

... ...

8 9

8 9

... ...

8 9

8 9

8 9

... ...

......

21 22

21 ...

... ...

21 22

21 ...

... ...

21 22

21 ...

21 ...

... ...

23 24

... ...

... ...

23 24

... ...

... ...

23 24

23 ...

23 ...

... ...

1 County subdivisions within the State are shown alphabetically with places only in the reports for the following 12 States: Connecticut, Maine, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, and Wisconsin.

TABLE FINDING GUIDE

II–1

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USER NOTES

Additional information concerning this 1990 census product may be available at a later date. If you wish to receive these User Notes, contact: Data User Services Division Customer Services Bureau of the Census Washington, DC 20233 301-763-4100 Questions concerning the content of this report may be directed to: Robert C. Speaker Population Division Population and Housing Programs Branch Bureau of the Census Washington, DC 20233

GEOGRAPHIC CHANGE NOTES
The county subdivisions in this State are minor civil divisions (MCD’s) known as towns. Cities and villages are independent of any MCD, and the Census Bureau treats them as the statistical equivalents of MCD’s as well as reporting them as places. See appendix A for additional information. The year, where shown parenthetically, relates to the year the action was effective; the population and housing unit counts that follow, respectively, are as of April 1, 1980.

Counties, County Subdivisions, and Places
Adams County—Annexed into Adams County: Wisconsin Dells city, from Dell Prairie town. Adams city annexed from Adams town. Friendship village annexed from Adams town. Ashland County—Mellen city annexed from Morse town.

ADDITIONAL DEFINITIONS AND EXPLANATIONS OF DATA GENERAL User Note 1
The user should note that there are limitations to many of these data. Please refer to the text provided with this report for further explanations on the limitations of the data.

Barron County—Barron city annexed from Barron town. Cameron village annexed from Stanley town. Cumberland city annexed from Crystal Lake, Cumberland, and Maple Plain towns. New Auburn village annexed from Dovre town. Rice Lake city annexed from Rice Lake town. Bayfield County—Disincorporated: Cable village (1984; 227 and 135); area reverted to Cable town. Brown County—Incorporated: Allouez village (1986; 14,882 and 4,672); comprises former Allouez town. Ashwaubenon village annexed from Green Bay city and Hobart town. De Pere city annexed from De Pere and Lawrence towns. Green Bay city annexed from Bellevue town and Ashwaubenon and Howard villages. Howard village annexed from Green Bay city. Pulaski village annexed from Pittsfield town. Wrightstown village annexed from Wrightstown town. Deleted CDP: Allouez (incorporated). Buffalo County—Alma city annexed from Nelson town. Mondovi city annexed from Mondovi town. Burnett County—Grantsburg village annexed from Grantsburg town. Webster village annexed from Meenon town. Calumet County—Incorporated: Potter village (1980; 306 and 92), from Rantoul town. Annexed into Calumet County: Menasha city, from Harrison town. Appleton city annexed from Harrison town. Brillion city annexed from Brillion town. III–1

HISTORICAL INFORMATION
Wisconsin was organized as a Territory in 1836 from that part of Michigan Territory which lay west of the present limits of the State of Michigan. As originally constituted, the Territory included the present States of Wisconsin, Iowa, Minnesota, the eastern parts of North and South Dakota, and a small part of Nebraska. In 1838, that part of the Territory lying west of the Mississippi River and a line drawn due north from its source to the Canadian boundary was organized as the Territory of Iowa. In 1848, that part of the Territory lying within the present boundaries of the State was admitted to the Union as the thirtieth State. The 1840 population of Wisconsin includes population of that part of Minnesota northeast of the Mississippi River. USER NOTES

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Chilton city annexed from Charlestown town. Kiel city annexed from New Holstein town. Menasha city annexed from Harrison town. New Holstein city annexed from New Holstein town. Sherwood village annexed from Harrison town. Stockbridge village annexed from Stockbridge town. Chippewa County—Bloomer city annexed from Woodmohr town. Chippewa Falls city annexed from Eagle Point, Hallie, Lafayette, Tilden, and Wheaton towns. Eau Claire city annexed from Hallie town. New Auburn village annexed from Bloomer town. Clark County—Abbotsford city annexed from Colby and Mayville towns. Curtiss village annexed from Mayville town. Loyal city annexed from Loyal town. Neillsville city annexed from Pine Valley town. Owen city annexed from Hixon town. Columbia County—Arlington village annexed from Arlington town. Lodi city annexed from Lodi town. Portage city annexed from Fort Winnebago and Lewiston towns. Poynette village annexed from Dekorra town. Wisconsin Dells city annexed from Newport town. Dekorra town detached to Poynette village. Crawford County—Prairie du Chien city annexed from Bridgeport and Prairie du Chien towns. Steuben village annexed from Eastman town. Dane County—Incorporated: Fitchburg city (1983; 11,965 and 5,320), comprising former Fitchburg town. Belleville village annexed from Montrose town. Black Earth village annexed from Black Earth town. Blue Mounds village annexed from Blue Mounds town. Cambridge village annexed from Christiana town. Cross Plains village annexed from Cross Plains town. Dane village annexed from Dane town. Deerfield village annexed from Deerfield town. De Forest village annexed from Windsor town. McFarland village annexed from Dunn town and Madison city. Madison city annexed from Blooming Grove, Burke, Madison, Middleton, Verona, and Westport towns, McFarland village, and Fitchburg and Monona cities. Marshall village annexed from Medina town. Mazomanie village annexed from Mazomanie town. Middleton city annexed from Middleton and Westport towns. Monona city annexed from Blooming Grove town and Madison city. Mount Horeb village annexed from Springdale town. Oregon village annexed from Oregon town. Stoughton city annexed from Dunkirk and Pleasant Springs towns. Sun Prairie city annexed from Bristol, Burke, and Sun Prairie towns. Verona city annexed from Verona town. Waunakee village annexed from Vienna and Westport towns. Dodge County—Annexed into Dodge County: Columbus city, from Elba town; Hartford city, from Rubicon town. Beaver Dam city annexed from Beaver Dam town. Brownsville village annexed from Lomira town. Columbus city annexed from Elba town. Fox Lake city annexed from Fox III–2

Lake town. Hartford city annexed from Rubicon town. Horicon city annexed from Oak Grove and Williamstown towns. Hustisford village annexed from Hustisford town. Juneau city annexed from Oak Grove town. Kekoskee village annexed from Williamstown town. Lomira village annexed from Lomira town. Mayville city annexed from Williamstown town. Randolph village annexed from Fox Lake and Westford towns. Theresa village annexed from Theresa town. Watertown city annexed from Emmet town. Waupun city annexed from Chester town. Door County—Egg Harbor village annexed from Egg Harbor town. Forestville village annexed from Forestville town. Sister Bay village annexed from Liberty Grove town. Sturgeon Bay city annexed from Nasewaupee, Sevastopol, and Sturgeon Bay towns. Douglas County—Lake Nebagamon village annexed from Bennett town. Dunn County—Menomonie city annexed from Menomonie and Red Cedar towns. Eau Claire County—Altoona city annexed from Washington town. Eau Claire city annexed from Brunswick, Seymour, Union, and Washington towns. Fond du Lac County—Brandon village annexed from Metomen town. Fond du Lac city annexed from Fond du Lac town. North Fond du Lac village annexed from Fond du Lac and Friendship towns. Ripon city annexed from Ripon town. Waupun city annexed from Waupun town. Grant County—Bagley village annexed from Bloomington and Wyalusing towns. Bloomington village annexed from Bloomington town. Blue River village annexed from Watterstown town. Boscobel city annexed from Boscobel town. Cuba City city annexed from Smelser town. Dickeyville village annexed from Paris town. Fennimore city annexed from Fennimore town. Lancaster city annexed from North Lancaster town. Muscoda village annexed from Muscoda town. Platteville city annexed from Platteville town. Green County—Albany village annexed from Albany town. Brodhead city annexed from Decatur town. Monroe city annexed from Clarno and Monroe towns. Monticello village annexed from Mount Pleasant town. New Glarus village annexed from New Glarus town. Green Lake County—Berlin city annexed from Berlin town. Green Lake city annexed from Brooklyn town. Iowa County—Arena village annexed from Arena town. Barneveld village annexed from Brigham town. Blanchardville village annexed from Moscow town. Cobb village annexed from Eden town. Dodgeville city annexed from Dodgeville town. Highland village annexed from Highland USER NOTES

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town. Mineral Point city annexed from Mineral Point town. Muscoda village annexed from Pulaski town. Ridgeway village annexed from Ridgeway town. Iron County—Montreal city annexed from Pence town. Jackson County—Black River Falls city annexed from Adams and Brockway towns. Hixton village annexed from Hixton town. Merrillan village annexed from Alma town. Jefferson County—Cambridge village annexed from Oakland town. Fort Atkinson city annexed from Koshkonong town. Jefferson city annexed from Aztalan town. Lake Mills city annexed from Aztalan and Lake Mills towns. Palmyra village annexed from Palmyra town. Watertown city annexed from Watertown town. Juneau County—Detached from Juneau County: Wisconsin Dells city; area reverted to Lyndon town. Elroy city annexed from Plymouth and Wonewoc towns. Mauston city annexed from Lindina and Lemonweir towns. New Lisbon city annexed from Lisbon town. Union Center village annexed from Wonewoc town. Kenosha County—Incorporated: Pleasant Prairie village (1989; 12,176 and 4,029); comprises the balance of Pleasant Prairie town (part previously annexed by Kenosha city). Annexed into Kenosha County: Genoa City village, from Randall town. Kenosha city annexed from Somers town, and from Pleasant Prairie town prior to its incorporation as Pleasant Prairie village. Paddock Lake village annexed from Salem town. Pleasant Prairie village annexed from Kenosha city. Twin Lakes village annexed from Randall town. Somers town detached to Kenosha city. Kewaunee County—Algoma city annexed from Ahnapee town. Luxemburg village annexed from Luxemburg town. La Crosse County—Holmen village annexed from Holland and Onalaska towns. La Crosse city annexed from Campbell, Medary, and Shelby towns. Onalaska city annexed from Medary and Onalaska towns. Rockland village annexed from Burns town. West Salem village annexed from Hamilton town. Medary town detached to La Crosse city. Lafayette County—Argyle village annexed from Argyle town. Belmont village annexed from Belmont town. Blanchardville village annexed from Blanchard town. Cuba City city annexed from Benton town. Darlington city annexed from Darlington town. Langlade County—Antigo city annexed from Antigo and Rolling towns. Lincoln County—Merrill city annexed from Merrill, Pine River, and Scott towns. USER NOTES

Manitowoc County—Cleveland village annexed from Centerville town. Kiel city annexed from Schleswig town. Manitowoc city annexed from Manitowoc, Manitowoc Rapids, and Newton towns. Maribel village annexed from Cooperstown town. Mishicot village annexed from Mishicot town. St. Nazianz village annexed from Eaton and Liberty towns. Two Rivers city annexed from Manitowoc and Two Rivers towns. Valders village annexed from Liberty town. Whitelaw village annexed from Cato town. Marathon County—Name change: Rib Mountain CDP previously Wausau West-Rib Mountain CDP. Annexed into Marathon County: Birnamwood village, from Norrie town. Abbotsford city annexed from Holton and Hull towns. Athens village annexed from Johnson town. Colby city annexed from Hull town. Edgar village annexed from Cassel and Wien towns. Marathon City village annexed from Marathon town. Marshfield city annexed from McMillan town. Mosinee city annexed from Kronenwetter and Mosinee towns. Rothschild village annexed from Weston town. Schofield city annexed from Wausau city and Weston town. Spencer village annexed from Spencer town. Wausau city annexed from Maine, Rib Mountain, Stettin, Texas, Wausau, and Weston towns and Elderon village. Marinette County—Coleman village annexed from Pound town. Crivitz village annexed from Stephenson town. Marinette city annexed from Peshtigo town. Peshtigo city annexed from Peshtigo town. Marquette County—Endeavor village annexed from Moundville town. Neshkoro village annexed from Neshkoro town. Oxford village annexed from Oxford town. Milwaukee County—Greenfield city annexed from Milwaukee city. Milwaukee city annexed from Greenfield city. Monroe County—Incorporated: Oakdale village (1988; 150 and 52); from Oakdale town. Cashton village annexed from Jefferson town. Norwalk village annexed from Ridgeville town. Sparta city annexed from Angelo and Sparta towns. Tomah city annexed from La Grange and Tomah towns. Wyeville village annexed from Byron town. Oconto County—Gillett city annexed from Gillett town. Oconto Falls city annexed from Oconto Falls town. Oneida County—Rhinelander city annexed from Crescent, Pelican, and Pine Lake towns. Outagamie County—Appleton city annexed from Bovina, Buchanan, Cicero, and Grand Chute towns. Combined Locks village annexed from Buchanan town. Hortonville village annexed from Ellington and Hortonia towns. Kaukauna city annexed from Buchanan, Kaukauna, and Vandenbroek towns. Kimberly village annexed from Buchanan III–3

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town. Little Chute village annexed from Grand Chute and Vandenbroek towns. New London city annexed from Hortonia town. Seymour city annexed from Osborn and Seymour towns. Ozaukee County—Belgium village annexed from Belgium town. Cedarburg city annexed from Cedarburg and Grafton towns and Mequon city. Fredonia village annexed from Fredonia town. Grafton village annexed from Cedarburg and Grafton towns. Port Washington city annexed from Port Washington town. Saukville village annexed from Saukville town. Cedarburg city detached to Mequon city. Pepin County—Durand city annexed from Durand town. Pierce County—Ellsworth village annexed from Ellsworth town. Maiden Rock village annexed from Maiden Rock town. Plum City village annexed from Union town. River Falls city annexed from River Falls town. Spring Valley village annexed from Gilman and Spring Lake towns. Polk County—Amery city annexed from Black Brook and Lincoln towns. Dresser village annexed from Osceola town. Frederic village annexed from West Sweden town. Luck village annexed from Luck town. Osceola village annexed from Farmington town. Portage County—Amherst village annexed from Amherst town. Amherst Junction village annexed from Amherst town. Junction City village annexed from Carson town. Plover village annexed from Plover town. Stevens Point city annexed from Hull, Plover, and Stockton towns. Whiting village annexed from Plover town. Price County—Park Falls city annexed from Lake town. Phillips city annexed from Worcester town. Prentice village annexed from Prentice town. Racine County—Burlington city annexed from Burlington town. Racine city annexed from Caledonia and Mount Pleasant towns. Sturtevant village annexed from Mount Pleasant town. Union Grove village annexed from Yorkville town. Waterford village annexed from Waterford town. Deleted CDP: Tichigan Lake. Richland County—Cazenovia village annexed from Westford town. Lone Rock village annexed from Buena Vista town. Richland Center city annexed from Richland town. Rock County—Beloit city annexed from Beloit and Turtle towns. Clinton village annexed from Clinton town. Evansville city annexed from Union town. Footville village annexed from Plymouth town. Janesville city annexed from Harmony, Janesville, La Prairie, and Rock towns. Milton city annexed from Milton town. Orfordville village annexed from Spring Valley town. Deleted CDP: Beloit North. III–4

Rusk County—Glen Flora village annexed from True town. Ladysmith city annexed from Flambeau and Grant towns. Sheldon village annexed from Marshall town. St. Croix County—Baldwin village annexed from Baldwin, Eau Galle, and Hammond towns. Glenwood City city annexed from Glenwood town. Hudson city annexed from Hudson and Troy towns. New Richmond city annexed from Richmond and Star Prairie towns. North Hudson village annexed from Hudson town. River Falls city annexed from Kinnickinnic and Troy towns. Roberts village annexed from Warren town. Somerset village annexed from Somerset town. Wilson village annexed from Springfield town. Sauk County—Baraboo city annexed from Baraboo and Greenfield towns and West Baraboo village. Lake Delton village annexed from Delton town. La Valle village annexed from La Valle town. Merrimac village annexed from Merrimac town. Plain village annexed from Franklin town. Prairie du Sac village annexed from Prairie du Sac town. Reedsburg city annexed from Reedsburg town. Spring Green village annexed from Spring Green town. Wisconsin Dells city annexed from Delton town. Sawyer County—Hayward city annexed from Hayward town. Shawano County—Bonduel village annexed from Hartland town. Cecil village annexed from Washington town. Shawano city annexed from Waukechon town. Wittenberg village annexed from Wittenberg town. Sheboygan County—Cascade village annexed from Lyndon town. Elkhart Lake village annexed from Rhine town. Howards Grove village annexed from Herman town. Kohler village annexed from Sheboygan town. Oostburg village annexed from Holland and Wilson towns. Plymouth city annexed from Plymouth town. Random Lake village annexed from Sherman town. Sheboygan city annexed from Sheboygan and Wilson towns. Sheboygan Falls city annexed from Lima and Sheboygan Falls towns. Waldo village annexed from Lyndon town. Deleted CDP: Black River. Taylor County—Medford city annexed from Medford town. Trempealeau County—Blair city annexed from Preston town. Eleva village annexed from Albion town. Ettrick village annexed from Ettrick town. Galesville city annexed from Gale town. Independence city annexed from Burnside town. Osseo city annexed from Sumner town. Strum village annexed from Unity town. Trempealeau village annexed from Trempealeau town. Whitehall city annexed from Lincoln town. Vernon County—Chaseburg village annexed from Hamburg town. Coon Valley village annexed from Coon town. De Soto village annexed from Wheatland town. Hillsboro city annexed from Hillsboro town. Stoddard village annexed from Bergen town. Viroqua city annexed from Viroqua town. USER NOTES

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Vilas County—Eagle River city annexed from Washington town. Walworth County—Darien village annexed from Darien town. Delavan city annexed from Delavan town. East Troy village annexed from East Troy town. Elkhorn city annexed from Geneva and Sugar Creek towns. Genoa City village annexed from Bloomfield town. Lake Geneva city annexed from Bloomfield, Geneva, Linn, and Lyons towns. Sharon village annexed from Sharon town. Whitewater city annexed from Whitewater town. Washburn County—Spooner city annexed from Beaver Brook and Spooner towns. Washington County—Hartford city annexed from Hartford town. Jackson village annexed from Jackson and Polk towns. Kewaskum village annexed from Kewaskum town. Newburg village annexed from Trenton town. Slinger village annexed from Polk town. West Bend city annexed from Barton, Trenton, and West Bend towns. Waukesha County—Annexed into Waukesha County: Milwaukee city, from Menomonee Falls village. Big Bend village annexed from Vernon town. Brookfield city annexed from Brookfield town. Delafield city annexed from Delafield, Merton, and Summit towns. Dousman village annexed from Ottawa and Summit towns. Eagle village annexed from Eagle town. Hartland village annexed from Merton town. Mukwonago village annexed from Mukwonago town. Muskego city annexed from Vernon town. Oconomowoc city annexed from Oconomowoc and Summit towns. Pewaukee village annexed from Pewaukee town. Sussex village annexed from Lisbon town. Waukesha city annexed from Brookfield, Pewaukee, and Waukesha towns, Brookfield city, and Pewaukee village. Vernon town detached to New Berlin city. Waupaca County—Clintonville city annexed from Larrabee and Matteson towns. Fremont village annexed from Fremont town. New London city annexed from Mukwa town. Waupaca city annexed from Farmington, Lind, and Waupaca towns.

Waushara County—Coloma village annexed from Coloma town. Hancock village annexed from Hancock town. Plainfield village annexed from Plainfield town. Redgranite village annexed from Warren town. Wautoma city annexed from Wautoma town. Wild Rose village annexed from Rose and Springwater towns. Winnebago County—Appleton city annexed from Menasha town. Menasha city annexed from Menasha and Nekimi towns. Neenah city annexed from Menasha and Neenah towns. Omro city annexed from Omro town. Oshkosh city annexed from Algoma, Black Wolf, Nekimi, and Oshkosh towns. Winneconne village annexed from Winneconne town. Deleted CDP: Winnebago. Wood County—Biron village annexed from Grand Rapids town. Marshfield city annexed from Cameron and Marshfield towns. Nekoosa city annexed from Port Edwards and Saratoga towns. Port Edwards village annexed from Seneca town. Wisconsin Rapids city annexed from Grand Rapids and Seneca towns. Nekoosa city detached to Port Edwards village.

American Indian Areas
Lac Courte Oreilles Reservation—Boundary change. Menominee Reservation—Boundary change. Oneida (West) Reservation—Boundary change. Potawatomi (Wisconsin) Reservation—Boundary change; trust lands identified since 1980. St. Croix Reservation—Boundary change. Stockbridge Reservation—Boundary change. Wisconsin Winnebago Reservation—Boundary change; trust land added.

USER NOTES

III–5

Table 1.

Population: Earliest Census to 1990
The State Urban Number of places of 2,500 or more 178 169 151 132 109 130 107 93 83 82 73 61 48 34 27 15 3 – 3 3 2 2 1 2 1 1 1 1 1 Change from preceding census Population 211 020 910 522 987 452 949 679 553 244 004 790 562 317 207 111 28 956 732 418 179 888 295 260 144 843 858 320 213 286 204 099 874 623 – Population 191 110 388 534 503 270 125 308 240 214 227 245 110 95 83 28 224 314 239 291 … 035 116 301 985 538 107 927 082 105 225 251 623 … Percent 6.3 3.8 15.4 26.9 … 25.8 16.1 8.1 24.8 24.0 27.1 40.5 77.3 53.2 85.1 290.9 … … 1 1 1 1 1 1 1 1 1 1 1 1 1 Population 679 685 507 429 446 499 485 458 385 387 329 278 131 998 847 664 276 30 813 035 313 598 687 482 315 443 163 209 540 829 044 293 571 007 768 945 Rural Change from preceding census Population –5 177 77 –17 14 26 73 –2 57 50 147 132 150 183 387 245 222 722 715 089 … 167 872 280 046 669 711 785 751 722 564 239 823 … Percent –.3 11.8 5.4 –1.2 … 1.0 1.8 5.3 –.1 4.3 4.0 13.1 13.3 17.8 27.6 139.9 794.4 … Urban 65.7 64.2 65.9 63.8 57.9 62.1 56.8 53.5 52.9 47.3 43.0 38.2 33.2 24.1 19.6 14.4 9.4 – Rural 34.3 35.8 34.1 36.2 42.1 37.9 43.2 46.5 47.1 52.7 57.0 61.8 66.8 75.9 80.4 85.6 90.6 100.0 Percent of total population

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]

State Urban and Rural
Total population Current urban definition: 1990 (Apr. 1) 1980 (Apr. 1) 1970 (Apr. 1) 1960 (Apr. 1) 1950 (Apr. 1) Previous urban definition: 1960 (Apr. 1) 1950 (Apr. 1) 1940 (Apr. 1) 1930 (Apr. 1) 1920 (Jan. 1) 1910 (Apr. 15) 1900 (June 1) 1890 (June 1) 1880 (June 1) 1870 (June 1) 1860 (June 1) 1850 (June 1) 1840 (June 1) 4 r4 r4 3 3 3 3 3 2 2 2 2 1 1 1 891 705 417 951 434 951 434 137 939 632 333 069 693 315 054 775 305 30 769 642 821 777 575 777 575 587 006 067 860 042 330 497 670 881 391 945

Change from preceding census Population 186 287 466 517 296 517 296 198 306 298 264 375 377 260 278 470 274 127 821 044 202 988 202 988 581 939 207 818 712 833 827 789 490 446 … Percent 4.0 6.5 11.8 15.1 9.5 15.1 9.5 6.8 11.7 12.8 12.8 22.2 28.7 24.7 35.9 154.1 886.9 …

POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 1 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

WISCONSIN 1

Table 2.

Housing Units: 1950 to 1990
The State Urban Change from preceding census Rural Change from preceding census Percent of total housing units

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]

State Urban and Rural
Total housing units Current urban definition: 1990 (Apr. 1) 1980 (Apr. 1) 1970 (Apr. 1) 1960 (Apr. 1) 1950 (Apr. 1) 2 r1 1 1 1 055 863 472 288 055 774 857 322 620 843

Change from preceding census

Housing units 191 391 183 232 917 535 702 777 …

Percent 10.3 26.6 14.3 22.0 …

Housing units 1 284 087 1 150 394 933 756 790 491 592 071

Housing units 133 216 143 198 693 638 265 420 …

Percent 11.6 23.2 18.1 33.5 …

Housing units 771 713 538 498 463 687 503 710 129 772

Housing units 58 174 40 34 184 793 581 357 …

Percent 8.2 32.4 8.1 7.4 …

Urban 62.5 61.7 63.4 61.3 56.1

Rural 37.5 38.3 36.6 38.7 43.9

2

WISCONSIN

POPULATION AND HOUSING UNIT COUNTS

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 2 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 3 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 3

Table 3. State County

Population and Housing Units: 1940 to 1990
Population 1990 4 891 769 15 16 40 14 194 13 13 34 52 31 45 15 367 76 25 41 35 85 4 90 8 49 30 18 20 6 16 67 21 128 18 97 16 19 26 80 115 40 12 3 959 36 30 31 140 72 7 32 34 61 15 175 17 139 15 50 46 14 37 103 18 25 25 17 75 13 95 304 46 19 140 73 682 307 750 008 594 584 084 291 360 647 088 940 085 559 690 758 909 183 590 083 776 264 339 651 150 153 588 783 650 181 878 904 076 505 993 421 400 548 321 890 275 633 226 679 510 831 107 765 773 405 600 034 521 510 079 251 975 181 157 877 901 263 617 707 000 772 328 715 104 385 320 605 1980 r4 705 642 13 16 38 13 175 14 12 30 52 32 43 16 323 75 25 44 34 78 4 88 9 51 30 18 19 6 16 66 r21 123 19 91 17 19 26 82 111 39 11 3 964 35 28 31 r128 66 7 31 32 57 15 173 17 139 15 43 43 12 35 100 18 26 25 16 71 13 84 r280 42 18 r131 72 457 783 730 822 280 309 340 867 127 910 222 556 545 064 029 421 314 805 172 964 044 736 012 370 802 730 831 152 037 137 539 056 412 978 555 918 270 314 672 373 988 074 947 216 730 981 477 149 351 420 788 132 476 420 589 262 469 843 928 935 817 158 642 535 507 174 848 203 831 526 772 799 1970 4 417 821 9 16 33 11 158 13 9 27 47 30 40 15 290 69 20 44 28 67 3 84 7 48 26 16 19 6 15 60 18 117 18 80 17 19 23 82 97 35 8 2 1 054 31 25 24 119 54 7 26 26 47 14 170 17 131 14 34 39 9 32 96 16 23 24 10 63 10 63 231 37 14 129 65 234 743 955 683 244 743 276 604 717 361 150 252 272 004 106 657 991 219 298 567 691 398 714 878 306 533 325 060 455 917 961 468 456 220 499 294 457 810 865 607 249 610 553 427 398 461 319 652 666 541 520 838 079 970 238 354 057 670 650 660 958 344 557 958 444 601 839 335 780 795 946 362 1960 3 951 777 7 17 34 11 125 14 9 22 45 31 36 16 222 63 20 45 26 58 3 75 7 44 25 15 19 7 15 50 17 100 18 72 18 19 22 75 88 34 8 1 036 31 25 22 101 38 7 22 24 36 14 141 17 113 14 29 36 9 34 86 17 23 25 9 52 10 46 158 35 13 107 59 566 375 270 910 082 202 214 268 096 527 708 351 095 170 685 008 156 300 437 085 542 419 851 418 631 830 151 094 490 615 282 465 142 916 338 215 874 660 516 – 041 241 110 112 794 441 332 503 968 964 370 781 684 913 794 164 179 475 351 484 843 377 663 332 368 301 119 249 340 497 928 105 1950 3 434 575 7 19 34 13 98 14 10 18 42 32 34 17 169 57 20 46 27 54 3 67 9 41 24 14 19 8 16 43 18 75 17 67 18 21 22 67 80 35 8 871 31 26 20 81 23 7 21 24 34 16 109 19 92 16 25 38 10 35 80 18 23 27 9 41 11 33 85 35 13 91 50 906 461 703 760 314 719 236 840 839 459 023 652 357 611 870 715 341 187 756 829 437 460 172 749 610 714 073 069 930 238 366 587 137 975 235 159 337 748 839 … 047 378 238 648 722 361 462 448 944 858 344 585 245 778 790 905 120 323 249 631 456 730 906 363 584 665 902 901 056 920 103 500 1940 3 137 587 8 21 34 15 83 16 11 17 40 33 32 18 130 54 19 47 27 46 4 62 11 40 23 14 20 10 16 38 18 63 16 59 18 23 22 61 75 36 9 766 30 27 18 70 18 7 21 26 35 18 94 20 80 17 24 33 11 35 76 20 24 29 8 33 12 28 62 34 14 80 44 449 801 289 827 109 090 382 618 703 972 517 328 660 280 095 119 375 999 177 353 805 639 146 092 595 049 599 868 708 505 680 653 695 227 536 617 915 225 097 … 885 080 075 938 032 985 897 471 197 800 467 047 381 173 737 842 700 540 378 221 105 381 940 894 103 496 430 744 614 268 507 465 1990 2 055 774 12 8 19 10 74 5 11 12 21 12 19 7 147 28 18 20 13 32 3 34 7 18 12 9 8 5 7 25 11 51 7 38 6 10 13 31 43 25 8 1 390 14 18 25 51 26 2 11 18 22 9 66 7 54 7 18 20 13 16 40 7 10 10 20 36 9 34 110 20 12 56 28 418 371 363 918 740 586 743 465 024 904 258 315 851 720 037 610 252 741 775 548 203 450 087 202 220 243 627 719 422 262 544 239 313 825 256 843 774 650 035 742 715 135 832 173 923 482 919 536 562 910 052 945 325 840 904 519 439 025 737 695 710 097 830 225 937 829 382 452 141 246 123 839 1980 r1 863 857 10 7 17 9 62 5 10 10 19 12 17 6 126 26 15 20 11 28 3 31 6 18 11 8 7 5 6 24 r9 47 7 33 6 9 12 30 39 22 7 1 378 12 16 23 r43 22 2 10 16 19 8 62 6 52 7 14 17 11 15 37 7 9 10 18 33 8 28 r92 18 11 r49 26 084 781 153 642 282 478 359 428 203 384 794 770 275 985 324 141 886 973 341 739 749 204 317 319 568 098 975 030 937 506 023 277 293 821 780 140 752 559 128 327 000 741 940 157 893 520 881 354 228 901 727 565 984 103 194 924 454 053 246 351 163 744 141 388 397 716 363 583 142 242 751 186 Housing units 1970 1 472 322 5 6 12 6 45 4 6 7 14 9 14 5 92 21 10 16 8 21 2 25 4 14 8 6 6 3 5 19 6 39 5 25 5 7 9 25 29 15 4 349 10 11 14 33 15 2 7 11 13 6 52 5 41 5 10 13 6 12 31 5 7 8 9 25 5 18 65 13 8 40 19 242 516 673 789 198 597 698 884 999 913 367 207 442 786 779 882 825 209 118 881 583 451 889 859 150 747 649 198 954 110 888 433 358 819 809 411 771 487 675 704 762 168 947 977 643 351 357 826 799 808 151 829 928 814 476 376 654 452 088 207 517 639 448 823 773 736 692 241 974 037 133 744 1960 1 288 620 3 6 12 5 35 4 4 6 13 9 12 4 67 19 12 16 8 18 1 22 3 13 8 6 5 3 5 16 6 33 5 22 5 7 8 22 26 13 4 327 9 10 11 28 11 2 6 10 11 6 43 5 35 5 8 12 7 11 28 5 7 8 9 22 5 14 47 12 6 33 16 560 203 699 867 524 499 450 603 544 678 498 987 207 379 147 914 312 268 735 921 976 507 233 125 988 701 254 648 245 643 512 507 374 070 478 736 003 595 083 … 736 261 568 640 116 128 205 770 144 032 232 895 686 778 270 787 153 230 430 064 527 360 344 409 539 342 519 301 294 973 276 938 1950 1 055 843 2 6 11 5 27 4 4 5 12 9 11 5 48 16 9 15 8 16 1 20 3 12 7 5 5 2 5 13 5 25 5 19 5 7 7 19 22 12 3 253 8 9 8 22 7 2 6 9 9 5 34 5 28 5 7 11 5 10 24 5 6 8 6 19 5 10 27 11 5 27 14 864 232 540 870 461 415 503 626 257 556 045 103 022 929 015 487 128 148 623 010 529 270 370 288 877 786 063 662 744 413 008 501 188 099 342 695 415 006 554 … 384 755 008 395 510 046 231 342 029 797 590 112 688 402 345 647 843 591 816 712 398 941 362 630 032 051 915 490 419 716 800 202 1940 897 719 2 6 10 5 21 4 4 4 10 9 9 4 37 14 6 14 7 12 1 17 3 11 6 4 5 3 4 11 5 19 4 16 5 6 6 16 18 10 2 216 7 7 7 17 5 2 6 7 8 5 27 5 23 4 6 10 4 9 21 5 6 7 4 15 4 8 20 9 4 23 11 621 125 129 181 576 314 292 803 416 091 639 632 514 789 591 168 386 870 590 256 303 311 689 673 624 131 496 652 225 387 420 310 026 414 456 446 725 298 909 – 530 837 391 683 914 446 111 021 753 820 493 633 462 526 930 727 104 745 572 640 343 400 999 836 110 126 833 681 985 809 236 545

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]

The State

COUNTY
Adams County Ashland County Barron County Bayfield County Brown County Buffalo County Burnett County Calumet County Chippewa County Clark County Columbia County Crawford County Dane County Dodge County Door County Douglas County Dunn County Eau Claire County Florence County Fond du Lac County Forest County Grant County Green County Green Lake County Iowa County Iron County Jackson County Jefferson County Juneau County Kenosha County Kewaunee County La Crosse County Lafayette County Langlade County Lincoln County Manitowoc County Marathon County Marinette County Marquette County Menominee County Milwaukee County Monroe County Oconto County Oneida County Outagamie County Ozaukee County Pepin County Pierce County Polk County Portage County Price County Racine County Richland County Rock County Rusk County St. Croix County Sauk County Sawyer County Shawano County Sheboygan County Taylor County Trempealeau County Vernon County Vilas County Walworth County Washburn County Washington County Waukesha County Waupaca County Waushara County Winnebago County Wood County

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 4 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

4 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 4.

Land Area, Population, and Housing Units: 1990
Land area Population Housing units Population Percent change Housing units

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]

State County
Square kilometers The State 140 672.4 1 2 2 3 1 1 2 2 3 2 1 3 2 1 3 2 1 1 1 2 2 1 1 1 2 1 1 1 1 2 2 1 4 3 1 2 2 2 1 1 2 2 3 1 1 2 1 2 3 2 1 2 1 2 2 1 2 1 1 1 1 1 677.8 703.7 234.9 823.9 369.4 772.9 127.8 828.5 617.1 148.7 004.3 483.4 113.6 285.4 250.3 391.0 206.9 651.5 264.1 872.5 626.6 973.1 512.7 917.7 975.5 961.4 557.1 442.8 988.3 706.6 887.5 172.7 641.1 260.4 287.1 532.1 001.7 631.1 179.8 927.2 625.6 333.4 585.1 913.0 658.6 600.8 601.7 493.2 375.9 088.5 244.5 862.8 518.4 866.2 365.2 869.9 169.7 254.4 311.8 330.4 525.1 901.4 058.9 260.6 438.5 097.2 115.9 439.0 945.5 621.6 136.1 Square miles 54 313.7 647.8 1 043.9 862.9 1 476.4 528.7 684.5 821.5 319.9 1 010.5 1 215.7 773.9 572.8 1 202.2 882.4 482.7 1 309.3 852.1 637.7 488.1 723.0 1 014.1 1 147.9 584.0 354.3 762.7 757.3 987.3 557.1 767.7 272.8 342.7 452.8 633.6 872.7 883.0 591.6 1 545.1 1 402.0 455.5 358.0 241.6 900.9 998.1 1 124.7 640.4 232.0 232.3 576.5 917.3 806.4 1 252.7 333.1 586.3 720.5 913.2 722.0 837.7 1 256.5 892.6 513.7 975.0 734.1 795.0 872.8 555.4 809.7 430.8 555.6 751.1 626.1 438.6 Total 4 891 769 15 16 40 14 194 13 13 34 52 31 45 15 367 76 25 41 35 85 4 90 8 49 30 18 20 6 16 67 21 128 18 97 16 19 26 80 115 40 12 3 959 36 30 31 140 72 7 32 34 61 15 175 17 139 15 50 46 14 37 103 18 25 25 17 75 13 95 304 46 19 140 682 307 750 008 594 584 084 291 360 647 088 940 085 559 690 758 909 183 590 083 776 264 339 651 150 153 588 783 650 181 878 904 076 505 993 421 400 548 321 890 275 633 226 679 510 831 107 765 773 405 600 034 521 510 079 251 975 181 157 877 901 263 617 707 000 772 328 715 104 385 320 Per square kilometer 34.8 9.3 6.0 18.2 3.7 142.1 7.7 6.1 41.4 20.0 10.1 22.5 10.7 117.9 33.5 20.5 12.3 16.3 51.6 3.6 48.1 3.3 16.6 20.1 20.3 10.2 3.1 6.5 47.0 10.9 181.4 21.3 83.5 9.8 8.6 11.8 52.5 28.8 11.2 10.4 4.2 1 533.4 15.7 11.7 10.9 84.7 121.2 11.8 21.9 14.6 29.4 4.8 202.9 11.5 74.8 6.4 26.9 21.7 4.4 16.1 78.1 7.5 13.3 12.4 7.8 52.1 6.6 85.4 211.8 23.7 12.0 123.5 Per square mile 90.1 24.2 15.6 47.2 9.5 368.1 19.8 15.9 107.2 51.8 26.0 58.3 27.8 305.3 86.8 53.2 31.9 42.1 133.6 9.4 124.6 8.7 42.9 52.0 52.6 26.4 8.1 16.8 121.7 28.2 469.9 55.1 216.2 25.4 22.4 30.6 135.9 74.7 28.9 27.0 10.9 3 970.5 40.7 30.3 28.2 219.4 313.9 30.6 56.8 37.9 76.1 12.5 525.5 29.9 193.6 16.5 69.6 56.1 11.3 41.6 202.2 19.4 34.4 32.2 20.3 135.0 17.0 221.3 548.4 61.4 31.0 319.9 Total 2 055 774 12 8 19 10 74 5 11 12 21 12 19 7 147 28 18 20 13 32 3 34 7 18 12 9 8 5 7 25 11 51 7 38 6 10 13 31 43 25 8 1 390 14 18 25 51 26 2 11 18 22 9 66 7 54 7 18 20 13 16 40 7 10 10 20 36 9 34 110 20 12 56 418 371 363 918 740 586 743 465 024 904 258 315 851 720 037 610 252 741 775 548 203 450 087 202 220 243 627 719 422 262 544 239 313 825 256 843 774 650 035 742 715 135 832 173 923 482 919 536 562 910 052 945 325 840 904 519 439 025 737 695 710 097 830 225 937 829 382 452 141 246 123 Per square kilometer 14.6 7.4 3.1 8.7 2.9 54.6 3.2 5.5 15.0 8.0 4.1 9.6 4.9 47.5 12.6 14.4 6.1 6.0 19.8 3.0 18.5 2.7 6.2 8.0 10.0 4.2 2.7 3.0 17.8 5.7 72.5 8.5 32.6 3.8 4.8 5.8 20.8 10.9 7.1 6.8 1.9 624.5 6.1 7.3 8.6 31.3 44.1 4.9 7.7 7.8 11.0 2.8 77.6 4.8 29.4 3.3 9.9 9.4 4.0 7.2 30.6 3.1 5.3 5.3 8.9 25.7 4.7 30.8 76.8 10.4 7.6 49.4 Per square mile 37.9 19.2 8.0 22.4 7.4 141.4 8.2 14.3 39.0 20.8 10.6 24.9 12.8 123.0 32.5 37.4 15.7 15.6 51.3 7.7 47.8 7.1 16.1 20.7 26.0 10.8 6.9 7.7 46.2 14.9 187.9 22.0 84.5 10.0 12.4 15.0 53.8 28.3 18.3 17.6 4.9 1 617.2 15.7 18.9 22.4 81.1 114.1 12.6 20.0 20.2 28.4 7.2 201.0 12.5 76.1 8.7 25.6 24.4 10.4 18.8 79.2 7.9 13.8 13.6 23.2 66.5 12.1 79.8 198.8 26.8 19.6 128.0

1980 to 1990 4.0 16.5 –2.7 5.2 1.3 11.0 –5.0 6.0 11.1 .4 –3.7 4.3 –3.6 13.5 2.0 2.6 –5.9 4.6 8.1 10.0 1.3 –2.9 –4.7 1.1 1.5 1.8 –8.5 –1.3 2.5 2.9 4.1 –3.3 7.5 –7.6 –2.3 1.6 –2.9 3.7 3.1 5.6 15.3 –.5 4.4 4.4 1.5 9.2 8.7 –4.8 5.2 7.5 6.9 –1.1 1.1 .3 .1 –3.2 16.2 8.1 10.4 3.4 2.9 .4 –3.3 – 7.1 4.9 4.5 12.4 8.7 7.6 4.6 6.5

1970 to 1980 6.5 45.7 .2 14.1 18.3 10.8 4.1 33.0 11.8 9.2 8.4 7.7 8.5 11.5 8.8 24.5 –.4 18.4 17.2 26.5 5.2 17.6 6.9 12.3 8.8 2.6 3.0 9.8 10.1 14.0 4.4 3.0 13.2 –.2 3.9 13.0 .8 14.2 9.8 31.7 29.4 –8.4 11.0 13.3 27.8 7.8 23.0 2.2 16.9 21.3 20.8 8.7 1.3 2.3 5.6 9.5 25.9 11.3 32.8 10.0 4.4 11.0 12.1 4.4 50.9 12.7 24.3 32.9 21.1 13.4 25.2 1.4

1980 to 1990 10.3 23.1 7.6 12.9 13.2 20.0 2.0 13.4 19.5 9.5 4.2 8.2 8.1 17.1 6.4 17.7 2.3 11.5 13.0 13.0 8.9 6.7 1.4 6.8 10.6 8.6 2.8 9.3 7.0 14.9 7.9 7.4 14.9 .3 10.2 3.7 5.7 10.1 13.7 12.7 31.3 3.4 10.9 11.2 8.7 18.3 17.6 1.3 11.4 14.4 15.1 3.7 7.0 4.9 5.3 9.9 24.1 17.1 17.8 9.8 9.0 7.6 3.6 6.8 10.0 10.6 12.8 21.2 19.3 11.0 8.9 12.8

1970 to 1980 26.6 92.4 19.4 35.4 42.0 37.8 19.2 54.7 32.3 28.0 24.9 23.9 30.0 36.6 23.9 42.2 19.3 34.7 36.6 57.7 22.6 47.3 26.0 27.3 21.3 23.1 36.1 23.5 25.2 42.9 21.5 19.3 30.8 17.5 25.6 30.3 18.6 33.5 45.7 52.5 88.5 8.1 25.3 41.8 54.6 30.5 46.7 22.2 32.3 37.5 44.1 41.9 18.4 17.8 24.6 31.4 43.8 27.8 71.3 26.1 19.7 29.8 27.6 20.0 87.2 29.6 52.0 51.7 41.9 29.8 39.9 24.0

COUNTY
Adams County Ashland County Barron County Bayfield County Brown County Buffalo County Burnett County Calumet County Chippewa County Clark County Columbia County Crawford County Dane County Dodge County Door County Douglas County Dunn County Eau Claire County Florence County Fond du Lac County Forest County Grant County Green County Green Lake County Iowa County Iron County Jackson County Jefferson County Juneau County Kenosha County Kewaunee County La Crosse County Lafayette County Langlade County Lincoln County Manitowoc County Marathon County Marinette County Marquette County Menominee County Milwaukee County Monroe County Oconto County Oneida County Outagamie County Ozaukee County Pepin County Pierce County Polk County Portage County Price County Racine County Richland County Rock County Rusk County St. Croix County Sauk County Sawyer County Shawano County Sheboygan County Taylor County Trempealeau County Vernon County Vilas County Walworth County Washburn County Washington County Waukesha County Waupaca County Waushara County Winnebago County

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 5 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 5

Table 4.

Land Area, Population, and Housing Units: 1990 Con.
Land area Population Housing units Population Percent change Housing units

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]

State County
Square kilometers Square miles Total Per square kilometer Per square mile Total Per square kilometer Per square mile

1980 to 1990

1970 to 1980

1980 to 1990

1970 to 1980

COUNTY

Con.
2 053.5 792.9 73 605 35.8 92.8 28 839 14.0 36.4 1.1 11.4 10.1 32.6

Wood County

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 6 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

6 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 5.

Population by Urban and Rural Residence: 1990
Urban Rural Outside urbanized area Place of 10,000 or more 296 533 – – – – – – – – – – – – 333 950 – – 547 – – 757 – – 241 – – – – 081 – – – – – – – 550 432 843 – – – – – – – – – 841 – 006 – – – – – 769 – – – – – – – – 170 – 916 993 – – Place of 2,500 to 9,999 450 702 – 8 571 10 984 – – – – 9 798 3 085 2 680 12 723 5 659 33 640 13 756 9 176 – – – – 14 251 – 16 606 3 165 5 304 3 882 – 3 490 12 933 3 439 6 651 6 103 3 611 – 8 276 13 188 2 534 7 243 3 154 – – – 15 358 7 058 7 427 4 119 13 033 – 5 949 2 657 8 176 3 104 12 520 5 018 11 862 3 938 14 585 18 056 – 7 598 6 769 4 283 – 3 922 – 20 057 – 10 693 20 529 14 629 67 In place Place of 1,000 to 2,499 246 297 1 715 – 389 285 074 491 144 211 055 426 326 – 13 331 6 195 – – 2 826 4 101 – 2 735 1 958 7 839 4 286 4 018 2 432 1 782 – 4 016 3 024 4 844 1 151 2 107 3 632 – – 3 876 7 119 1 999 2 454 – – – 1 303 – 3 181 1 558 2 003 1 051 5 861 1 838 1 592 8 509 – 3 068 – 6 253 6 376 1 897 2 355 8 239 – 9 695 3 154 2 797 15 978 3 625 4 826 7 451 6 868 2 793 5 2 5 2 1 1 7 5 10 Place of less than 1,000 135 995 728 1 541 2 713 788 415 3 506 1 486 1 668 1 142 3 812 4 025 2 991 2 591 5 241 1 589 2 256 2 941 504 – 3 613 – 5 055 639 528 4 653 838 2 284 512 2 875 – 544 509 3 839 304 – 3 582 2 121 2 925 1 199 1 300 – 3 049 1 216 – 1 978 950 962 2 033 4 370 3 247 918 978 1 574 764 2 175 1 849 3 132 2 947 3 596 1 958 1 939 2 190 4 276 – – 964 853 1 919 1 686 2 648 Percent of total population Urban Inside urbanized area 50.4 – – – – 83.2 – – 28.7 32.2 – – – 66.6 – – 66.1 – 74.5 – – – – – – – – – – – 73.6 – 75.8 – – – – 49.7 – – – 100.0 – – – 69.9 57.8 – – – – – 72.2 – 68.6 – – – – – 58.7 – – – – – – 14.4 67.8 – – Percent change, 1980 to 1990

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]

State County
Total population The State 4 891 769 15 16 40 14 194 13 13 34 52 31 45 15 367 76 25 41 35 85 4 90 8 49 30 18 20 6 16 67 21 128 18 97 16 19 26 80 115 40 12 3 959 36 30 31 140 72 7 32 34 61 15 175 17 139 15 50 46 14 37 103 18 25 25 17 75 13 95 304 46 19 682 307 750 008 594 584 084 291 360 647 088 940 085 559 690 758 909 183 590 083 776 264 339 651 150 153 588 783 650 181 878 904 076 505 993 421 400 548 321 890 275 633 226 679 510 831 107 765 773 405 600 034 521 510 079 251 975 181 157 877 901 263 617 707 000 772 328 715 104 385 Total urban population 3 211 956 – 8 571 10 984 – 161 931 – – 19 638 19 936 2 680 12 723 5 659 293 309 34 706 9 176 27 615 13 547 63 442 – 52 008 – 16 606 13 406 5 304 3 882 – 3 490 38 014 3 439 100 996 6 103 77 814 – 8 276 13 188 48 084 65 027 14 997 – – 959 275 15 358 7 058 7 427 102 338 55 098 – 14 790 2 657 31 182 3 104 138 941 5 018 107 562 3 938 16 354 18 056 – 7 598 67 781 4 283 – 3 922 – 30 227 – 48 383 238 068 14 629 67 Inside urbanized area 2 464 721 – – – – 931 – – 840 851 – – – 336 – – 615 – 442 – – – – – – – – – – – 345 – 203 – – – – 352 – – – 275 – – – 219 065 – – – – – 421 – 700 – – – – – 012 – – – – – – 774 546 – –

Total 747 235 – 8 571 10 984 – – – – 9 798 3 085 2 680 12 723 5 659 48 973 34 706 9 176 – 13 547 – – 52 008 – 16 606 13 406 5 304 3 882 – 3 490 38 014 3 439 6 651 6 103 3 611 – 8 276 13 188 48 084 7 675 14 997 – – – 15 358 7 058 7 427 4 119 13 033 – 14 790 2 657 31 182 3 104 12 520 5 018 11 862 3 938 16 354 18 056 – 7 598 6 769 4 283 – 3 922 – 30 227 – 34 609 31 522 14 629 67

Total rural population 1 679 813 15 7 29 14 32 13 13 14 32 28 32 10 73 41 16 14 22 21 4 38 8 32 16 13 16 6 13 29 18 27 12 20 16 11 13 32 50 25 12 3 21 23 24 38 17 7 17 32 30 12 36 12 31 11 33 28 14 29 36 14 25 21 17 44 13 46 66 31 19 682 736 766 008 663 584 084 653 424 967 365 281 776 853 514 143 362 741 590 075 776 658 933 347 268 153 098 769 211 185 775 090 076 229 805 337 373 551 321 890 – 275 168 252 172 733 107 975 116 223 496 093 503 948 141 897 919 181 559 096 618 263 695 707 773 772 945 647 475 318

Total 382 292 2 1 8 3 5 5 2 2 8 9 14 2 15 11 1 2 5 4 6 1 12 4 4 7 2 2 4 5 4 1 2 7 7 9 4 3 1 3 2 5 2 2 3 10 5 2 9 1 3 2 8 9 4 5 10 1 11 7 2 15 4 5 9 8 5 443 541 102 073 489 997 630 879 197 238 351 991 922 436 589 256 767 605 – 348 958 894 925 546 085 620 284 528 899 844 695 616 471 304 – 458 240 924 653 300 – 049 519 – 159 508 965 084 231 085 510 487 574 832 175 102 508 844 951 197 939 885 430 797 978 589 679 370 554 441

Other rural 1 297 521 13 6 21 10 27 7 10 11 24 19 18 7 57 30 14 11 16 17 4 31 6 19 12 8 9 3 10 25 12 22 11 17 8 10 13 24 41 20 8 2 18 20 24 33 15 4 14 21 25 9 26 10 28 8 25 19 9 23 25 12 13 14 14 28 9 41 57 22 13 239 195 664 935 174 587 454 774 227 729 014 290 854 417 925 887 595 136 590 727 818 764 008 801 183 533 814 241 312 341 080 474 605 925 805 879 133 627 668 590 – 226 649 252 013 225 142 891 885 138 986 606 929 116 966 795 411 337 608 899 679 378 265 910 795 183 266 277 921 877

Total 65.7 – 52.6 27.0 – 83.2 – – 57.3 38.1 8.5 28.2 35.5 79.9 45.3 35.7 66.1 37.7 74.5 – 57.7 – 33.7 44.2 28.4 19.3 – 21.0 56.1 15.9 78.8 32.3 79.5 – 42.4 48.9 59.8 56.3 37.0 – – 100.0 41.9 23.4 23.4 72.8 75.7 – 45.1 7.6 50.8 19.9 79.4 28.6 77.1 26.1 32.5 38.4 – 20.4 65.3 22.7 – 15.3 – 40.3 – 50.8 78.1 31.7 .3

Rural 34.3 100.0 47.4 73.0 100.0 16.8 100.0 100.0 42.7 61.9 91.5 71.8 64.5 20.1 54.7 64.3 33.9 62.3 25.5 100.0 42.3 100.0 66.3 55.8 71.6 80.7 100.0 79.0 43.9 84.1 21.2 67.7 20.5 100.0 57.6 51.1 40.2 43.7 63.0 100.0 100.0 – 58.1 76.6 76.6 27.2 24.3 100.0 54.9 92.4 49.2 80.1 20.6 71.4 22.9 73.9 67.5 61.6 100.0 79.6 34.7 77.3 100.0 84.7 100.0 59.7 100.0 49.2 21.9 68.3 99.7

Urban 6.3 – –6.0 6.8 – 13.4 –100.0 – 29.2 3.2 –3.6 –10.9 –3.4 16.4 3.9 3.7 –8.4 6.1 12.6 – 5.0 – 1.8 1.7 –1.5 12.3 – 1.6 12.7 4.7 13.2 –5.5 15.5 – –4.4 .6 –1.0 15.6 1.5 – – –.6 8.6 .8 –5.7 11.8 11.1 – 45.4 – 10.3 –2.8 3.7 .4 .9 2.9 45.3 12.8 – 8.3 5.0 6.1 – 5.5 – 20.9 – 22.9 9.2 4.6 –26.4

Rural –.3 16.5 .9 4.6 1.3 .4 15.5 6.0 –6.5 –1.2 –3.9 11.8 –3.9 3.0 .5 2.1 –.9 3.8 –3.2 10.0 –3.5 –3.0 –7.8 .6 2.8 –.5 –8.6 –2.2 –8.2 2.6 –19.9 –2.3 –15.2 –7.7 –.8 2.6 –5.9 –8.5 4.1 5.6 15.3 – 1.6 5.6 3.9 2.4 2.1 –4.9 –14.3 –.7 3.7 –.8 –7.7 .2 –2.7 –5.3 5.9 5.3 10.4 2.2 –.8 –1.1 –3.4 –1.1 7.1 –3.7 4.5 3.2 7.0 9.1 4.8

COUNTY
Adams County Ashland County Barron County Bayfield County Brown County Buffalo County Burnett County Calumet County Chippewa County Clark County Columbia County Crawford County Dane County Dodge County Door County Douglas County Dunn County Eau Claire County Florence County Fond du Lac County Forest County Grant County Green County Green Lake County Iowa County Iron County Jackson County Jefferson County Juneau County Kenosha County Kewaunee County La Crosse County Lafayette County Langlade County Lincoln County Manitowoc County Marathon County Marinette County Marquette County Menominee County Milwaukee County Monroe County Oconto County Oneida County Outagamie County Ozaukee County Pepin County Pierce County Polk County Portage County Price County Racine County Richland County Rock County Rusk County St. Croix County Sauk County Sawyer County Shawano County Sheboygan County Taylor County Trempealeau County Vernon County Vilas County Walworth County Washburn County Washington County Waukesha County Waupaca County Waushara County

161 9 16

244 27 63

15 20 13 37 10

25

94 74

45 11

57

959

98 42

8 23

126 95

1

61

10 23 10

13 206

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 7 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 7

Table 5.

Population by Urban and Rural Residence: 1990 Con.
Urban Rural Outside urbanized area Place of 10,000 or more Place of 2,500 to 9,999 In place Place of 1,000 to 2,499 Place of less than 1,000 Percent of total population Urban Inside urbanized area Percent change, 1980 to 1990

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]

State County
Total population Total urban population Inside urbanized area

Total

Total rural population

Total

Other rural

Total

Rural

Urban

Rural

COUNTY

Con.
140 320 73 605 114 630 39 661 111 794 – 2 836 39 661 – 37 104 2 836 2 557 25 690 33 944 2 059 8 693 2 059 4 126 – 4 567 23 631 25 251 81.7 53.9 79.7 – 18.3 46.1 9.5 2.8 –5.0 –.8

Winnebago County Wood County

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 8 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

8 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 6.

Housing Units by Urban and Rural Residence: 1990
Urban Rural Outside urbanized area Place of 10,000 or more 116 577 – – – – – – – – – – – – 718 456 – – 539 – – 176 – – 556 – – – – 963 – – – – – – – 142 193 268 – – – – – – – – – 810 – 627 – – – – – 715 – – – – – – – – 492 – 887 350 – – Place of 2,500 to 9,999 182 942 – 3 688 4 803 – – – – 3 725 1 290 1 199 5 285 2 393 12 441 4 948 4 049 – – – – 5 513 – 6 067 1 297 2 218 1 573 – 1 547 5 255 1 560 3 370 2 777 1 315 – 3 619 5 572 1 051 2 584 1 217 – – – 6 330 2 955 3 293 1 641 4 835 – 2 261 1 132 2 978 1 308 4 743 2 290 4 821 1 671 5 781 7 673 – 3 249 2 817 1 833 – 1 870 – 8 813 – 4 071 7 850 6 243 27 In place Place of 1,000 to 2,499 108 581 791 – 2 593 994 1 970 1 080 508 475 2 973 2 327 4 987 – 5 003 2 295 – – 1 339 1 679 – 950 932 3 317 1 776 1 882 1 051 1 009 – 1 795 1 296 2 607 460 758 1 599 – – 1 469 2 820 826 1 188 – – – 628 – 1 143 512 835 431 2 648 653 757 3 810 – 1 132 – 2 452 3 087 961 942 3 164 – 4 252 1 402 1 362 10 569 1 933 1 880 2 281 3 342 1 289 Percent of total housing units Urban Percent change, 1980 to 1990

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]

State County
Total housing units The State 2 055 774 12 8 19 10 74 5 11 12 21 12 19 7 147 28 18 20 13 32 3 34 7 18 12 9 8 5 7 25 11 51 7 38 6 10 13 31 43 25 8 1 390 14 18 25 51 26 2 11 18 22 9 66 7 54 7 18 20 13 16 40 7 10 10 20 36 9 34 110 20 12 418 371 363 918 740 586 743 465 024 904 258 315 851 720 037 610 252 741 775 548 203 450 087 202 220 243 627 719 422 262 544 239 313 825 256 843 774 650 035 742 715 135 832 173 923 482 919 536 562 910 052 945 325 840 904 519 439 025 737 695 710 097 830 225 937 829 382 452 141 246 Total urban housing units 1 284 087 – 3 688 4 803 – 63 577 – – 7 182 8 085 1 199 5 285 2 393 121 486 13 404 4 049 11 879 4 539 24 619 – 20 689 – 6 067 5 853 2 218 1 573 – 1 547 14 218 1 560 39 900 2 777 31 082 – 3 619 5 572 20 193 25 800 6 485 – – 390 715 6 330 2 955 3 293 39 345 20 433 – 5 071 1 132 11 605 1 308 53 601 2 290 42 909 1 671 6 496 7 673 – 3 249 27 764 1 833 – 1 870 – 12 305 – 18 096 88 189 6 243 27 Inside urbanized area 984 568 – – – – 577 – – 457 795 – – – 327 – – 879 – 619 – – – – – – – – – – – 530 – 767 – – – – 023 – – – 715 – – – 704 598 – – – – – 858 – 088 – – – – – 947 – – – – – – 138 989 – –

Total 299 519 – 3 688 4 803 – – – – 3 725 1 290 1 199 5 285 2 393 18 159 13 404 4 049 – 4 539 – – 20 689 – 6 067 5 853 2 218 1 573 – 1 547 14 218 1 560 3 370 2 777 1 315 – 3 619 5 572 20 193 2 777 6 485 – – – 6 330 2 955 3 293 1 641 4 835 – 5 071 1 132 11 605 1 308 4 743 2 290 4 821 1 671 6 496 7 673 – 3 249 2 817 1 833 – 1 870 – 12 305 – 12 958 12 200 6 243 27

Total rural housing units 771 687 12 4 14 10 11 5 11 5 12 11 13 4 26 15 13 8 8 8 3 13 7 12 6 6 6 5 6 11 9 11 4 7 6 7 7 11 17 19 8 1 7 15 21 12 6 2 6 17 11 7 13 5 11 6 12 12 13 13 12 5 10 8 20 24 9 16 22 13 12 418 683 560 918 163 586 743 283 939 705 973 922 365 316 988 731 713 122 775 859 203 383 234 984 647 243 080 501 862 362 767 157 313 206 684 650 974 165 035 742 – 805 877 880 578 049 919 465 430 305 744 344 035 931 233 023 766 025 488 931 877 097 960 225 632 829 286 263 898 219

Total 169 306 1 089 716 779 481 116 746 265 150 427 034 586 331 967 276 216 406 570 901 – 2 272 932 5 497 2 032 2 152 3 011 1 471 1 049 2 009 2 651 2 607 683 915 3 266 172 – 2 845 3 675 2 140 1 781 365 – 1 319 1 164 – 1 884 869 1 301 1 294 4 879 2 004 1 157 4 156 711 1 430 1 028 3 179 4 472 2 685 2 558 3 872 834 5 176 3 304 1 362 10 569 2 447 2 174 3 074 4 114 2 604 3 1 2 2 1 1 3 4 6 1 5 4 2 1 2 1

Place of less than 1,000 60 725 298 716 1 186 487 146 1 666 757 675 454 1 707 1 599 1 331 964 1 981 2 216 1 406 1 231 222 – 1 322 – 2 180 256 270 1 960 462 1 049 214 1 355 – 223 157 1 667 172 – 1 376 855 1 314 593 365 – 1 319 536 – 741 357 466 863 2 231 1 351 400 346 711 298 1 028 727 1 385 1 724 1 616 708 834 924 1 902 – – 514 294 793 772 1 315

Other rural 602 381 11 3 10 9 9 2 10 4 9 7 7 3 20 11 11 7 6 6 3 11 6 6 4 4 3 3 5 9 7 8 4 6 3 7 7 8 14 17 6 1 6 14 21 10 5 1 5 12 9 6 9 4 10 5 8 8 10 10 9 5 4 5 18 14 7 14 19 9 9 329 967 781 437 047 840 478 133 512 671 387 591 398 040 772 325 143 221 775 587 271 886 202 832 636 772 031 492 211 755 084 242 047 034 684 805 299 025 254 377 – 486 713 880 694 180 618 171 551 301 587 188 324 501 205 844 294 340 930 059 043 921 656 863 063 382 112 189 784 615

Total 62.5 – 44.1 24.8 – 85.1 – – 57.6 38.5 9.3 27.4 32.7 82.2 46.7 22.4 57.6 34.3 75.2 – 59.9 – 32.9 48.4 24.1 19.1 – 20.3 55.3 13.7 77.8 36.8 81.3 – 33.4 42.0 63.4 58.9 25.3 – – 100.0 44.8 15.7 13.1 75.8 77.2 – 44.0 6.1 50.7 14.4 80.1 31.3 78.2 21.1 35.1 37.5 – 19.4 68.2 23.8 – 17.3 – 33.3 – 52.6 79.8 31.0 .2

Inside urbanized area 47.9 – – – – 85.1 – – 27.7 32.3 – – – 69.9 – – 57.6 – 75.2 – – – – – – – – – – – 71.3 – 77.8 – – – – 52.6 – – – 100.0 – – – 72.6 58.9 – – – – – 73.0 – 69.5 – – – – – 61.3 – – – – – – 14.9 68.8 – –

Rural 37.5 100.0 55.9 75.2 100.0 14.9 100.0 100.0 42.4 61.5 90.7 72.6 67.3 17.8 53.3 77.6 42.4 65.7 24.8 100.0 40.1 100.0 67.1 51.6 75.9 80.9 100.0 79.7 44.7 86.3 22.2 63.2 18.7 100.0 66.6 58.0 36.6 41.1 74.7 100.0 100.0 – 55.2 84.3 86.9 24.2 22.8 100.0 56.0 93.9 49.3 85.6 19.9 68.7 21.8 78.9 64.9 62.5 100.0 80.6 31.8 76.2 100.0 82.7 100.0 66.7 100.0 47.4 20.2 69.0 99.8

Urban 11.6 – –3.8 14.4 – 21.9 –100.0 – 38.1 12.6 4.0 –11.0 4.2 18.9 8.8 11.5 –2.6 14.0 16.7 – 11.5 – 7.4 7.1 5.6 14.1 – 7.7 16.4 8.2 16.3 3.1 22.4 – 3.5 3.6 7.0 18.6 6.2 – – 3.4 14.8 5.2 3.4 19.9 20.3 – 63.6 – 19.9 2.7 8.5 4.3 6.3 11.8 52.7 16.8 – 10.8 10.7 13.2 – 11.8 – 25.6 – 31.8 20.6 8.8 –27.0

Rural 8.2 23.1 18.6 12.4 13.2 10.1 25.6 13.4 1.1 7.6 4.2 17.9 10.0 9.5 4.4 19.6 9.8 10.2 3.2 13.0 5.1 6.7 –1.4 6.6 12.3 7.4 2.8 9.8 –2.7 16.1 –14.0 10.1 –9.2 .3 14.0 3.8 3.4 –.2 16.5 12.7 31.3 – 8.0 12.4 9.5 13.2 9.4 1.3 –10.9 7.4 10.6 3.9 1.3 5.2 1.6 9.4 12.7 17.3 17.8 9.5 5.3 6.0 3.6 5.8 10.0 4.4 12.8 11.3 14.2 12.1 9.0

COUNTY
Adams County Ashland County Barron County Bayfield County Brown County Buffalo County Burnett County Calumet County Chippewa County Clark County Columbia County Crawford County Dane County Dodge County Door County Douglas County Dunn County Eau Claire County Florence County Fond du Lac County Forest County Grant County Green County Green Lake County Iowa County Iron County Jackson County Jefferson County Juneau County Kenosha County Kewaunee County La Crosse County Lafayette County Langlade County Lincoln County Manitowoc County Marathon County Marinette County Marquette County Menominee County Milwaukee County Monroe County Oconto County Oneida County Outagamie County Ozaukee County Pepin County Pierce County Polk County Portage County Price County Racine County Richland County Rock County Rusk County St. Croix County Sauk County Sawyer County Shawano County Sheboygan County Taylor County Trempealeau County Vernon County Vilas County Walworth County Washburn County Washington County Waukesha County Waupaca County Waushara County

63 3 6

103 11 24

5 8 4 15 4

8

36 29

19 5

23

390

37 15

2 8

48 38

24

3 8 4

5 75

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 9 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 9

Table 6.

Housing Units by Urban and Rural Residence: 1990 Con.
Urban Rural Outside urbanized area Place of 10,000 or more Place of 2,500 to 9,999 In place Place of 1,000 to 2,499 Percent of total housing units Urban Percent change, 1980 to 1990

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]

State County
Total housing units Total urban housing units Inside urbanized area

Total

Total rural housing units

Total

Place of less than 1,000

Other rural

Total

Inside urbanized area

Rural

Urban

Rural

COUNTY

Con.
56 123 28 839 45 650 16 693 44 557 – 1 093 16 693 – 15 685 1 093 1 008 10 473 12 146 880 3 225 880 1 487 – 1 738 9 593 8 921 81.3 57.9 79.4 – 18.7 42.1 16.2 10.5 .6 9.7

Winnebago County Wood County

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 10 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

10 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 7.

Land Area by Urban and Rural Residence: 1990
Urban Rural Outside urbanized area In place Percent of total land area Urban

[For definitions of terms and meanings of symbols, see text]

State County
Total land area Total urban land area Inside urbanized area

Total

Place of 10,000 or more

Place of 2,500 to 9,999

Total rural land area

Total

Place of 1,000 to 2,499

Place of less than 1,000

Other rural

Total

Inside urbanized area

Rural

THE STATE
Square kilometers Square miles 140 672.4 54 313.7 4 086.2 1 577.7 2 837.7 1 095.6 1 248.5 482.0 367.4 141.8 881.1 340.2 136 586.2 52 736.0 2 094.0 808.5 878.2 339.1 1 215.8 469.4 134 492.3 51 927.5 2.9 2.9 2.0 2.0 97.1 97.1

COUNTY Adams County
Square kilometers Square miles 1 677.8 647.8 2 703.7 1 043.9 2 234.9 862.9 3 823.9 1 476.4 1 369.4 528.7 1 772.9 684.5 2 127.8 821.5 828.5 319.9 2 617.1 1 010.5 3 148.7 1 215.7 2 004.3 773.9 1 483.4 572.8 3 113.6 1 202.2 2 285.4 882.4 1 250.3 482.7 3 391.0 1 309.3 2 206.9 852.1 1 651.5 637.7 1 264.1 488.1 1 872.5 723.0 2 626.6 1 014.1 2 973.1 1 147.9 – – 18.4 7.1 23.7 9.1 – – 259.2 100.1 – – – – 29.3 11.3 47.8 18.5 7.0 2.7 30.9 11.9 11.3 4.4 309.6 119.6 43.2 16.7 24.8 9.6 98.9 38.2 29.2 11.3 76.4 29.5 – – 51.5 19.9 – – 22.1 8.5 – – – – – – – – 259.2 100.1 – – – – 7.9 3.0 41.5 16.0 – – – – – – 253.1 97.7 – – – – 98.9 38.2 – – 76.4 29.5 – – – – – – – – – – 18.4 7.1 23.7 9.1 – – – – – – – – 21.4 8.3 6.3 2.4 7.0 2.7 30.9 11.9 11.3 4.4 56.6 21.8 43.2 16.7 24.8 9.6 – – 29.2 11.3 – – – – 51.5 19.9 – – 22.1 8.5 – – – – – – – – – – – – – – – – – – – – – – – – 18.2 7.0 21.4 8.3 – – – – 29.2 11.3 – – – – 33.1 12.8 – – – – – – 18.4 7.1 23.7 9.1 – – – – – – – – 21.4 8.3 6.3 2.4 7.0 2.7 30.9 11.9 11.3 4.4 38.4 14.8 21.8 8.4 24.8 9.6 – – – – – – – – 18.4 7.1 – – 22.1 8.5 1 677.8 647.8 2 685.4 1 036.8 2 211.2 853.8 3 823.9 1 476.4 1 110.1 428.6 1 772.9 684.5 2 127.8 821.5 799.1 308.5 2 569.3 992.0 3 141.6 1 213.0 1 973.4 761.9 1 472.2 568.4 2 804.0 1 082.6 2 242.2 865.7 1 225.5 473.2 3 292.1 1 271.1 2 177.7 840.8 1 575.1 608.2 1 264.1 488.1 1 821.0 703.1 2 626.6 1 014.1 2 951.0 1 139.4 9.8 3.8 12.9 5.0 35.3 13.6 13.2 5.1 17.2 6.7 45.7 17.6 14.5 5.6 18.5 7.1 47.2 18.2 31.2 12.0 77.9 30.1 87.4 33.8 38.0 14.7 25.3 9.8 22.9 8.8 73.1 28.2 83.0 32.0 18.9 7.3 – – 16.9 6.5 13.5 5.2 34.3 13.2 7.5 2.9 – – 18.8 7.3 10.2 3.9 13.6 5.2 8.2 3.2 7.6 2.9 2.6 1.0 34.1 13.2 11.0 4.2 52.3 20.2 – – 30.2 11.7 12.6 4.9 – – – – 51.8 20.0 15.1 5.8 – – 4.8 1.8 13.5 5.2 14.4 5.6 2.3 .9 12.9 5.0 16.5 6.4 3.1 1.2 3.6 1.4 37.4 14.4 6.9 2.7 15.8 6.1 13.1 5.0 20.2 7.8 25.6 9.9 87.4 33.8 7.8 3.0 12.7 4.9 22.9 8.8 73.1 28.2 31.2 12.0 3.8 1.5 – – 12.1 4.7 – – 19.9 7.7 1 668.0 644.0 2 672.4 1 031.8 2 175.9 840.1 3 810.7 1 471.3 1 092.9 422.0 1 727.2 666.9 2 113.3 816.0 780.7 301.4 2 522.1 973.8 3 110.5 1 201.0 1 895.5 731.9 1 384.7 534.6 2 766.0 1 067.9 2 217.0 856.0 1 202.6 464.3 3 219.0 1 242.9 2 094.7 808.8 1 556.2 600.9 1 264.1 488.1 1 804.2 696.6 2 613.1 1 008.9 2 916.7 1 126.1 – – .7 .7 1.1 1.1 – – 18.9 18.9 – – – – 3.5 3.5 1.8 1.8 .2 .2 1.5 1.5 .8 .8 9.9 9.9 1.9 1.9 2.0 2.0 2.9 2.9 1.3 1.3 4.6 4.6 – – 2.7 2.7 – – .7 .7 – – – – – – – – 18.9 18.9 – – – – 1.0 1.0 1.6 1.6 – – – – – – 8.1 8.1 – – – – 2.9 2.9 – – 4.6 4.6 – – – – – – – – 100.0 100.0 99.3 99.3 98.9 98.9 100.0 100.0 81.1 81.1 100.0 100.0 100.0 100.0 96.5 96.5 98.2 98.2 99.8 99.8 98.5 98.5 99.2 99.2 90.1 90.1 98.1 98.1 98.0 98.0 97.1 97.1 98.7 98.7 95.4 95.4 100.0 100.0 97.3 97.3 100.0 100.0 99.3 99.3

Ashland County
Square kilometers Square miles

Barron County
Square kilometers Square miles

Bayfield County
Square kilometers Square miles

Brown County
Square kilometers Square miles

Buffalo County
Square kilometers Square miles

Burnett County
Square kilometers Square miles

Calumet County
Square kilometers Square miles

Chippewa County
Square kilometers Square miles

Clark County
Square kilometers Square miles

Columbia County
Square kilometers Square miles

Crawford County
Square kilometers Square miles

Dane County
Square kilometers Square miles

Dodge County
Square kilometers Square miles

Door County
Square kilometers Square miles

Douglas County
Square kilometers Square miles

Dunn County
Square kilometers Square miles

Eau Claire County
Square kilometers Square miles

Florence County
Square kilometers Square miles

Fond du Lac County
Square kilometers Square miles

Forest County
Square kilometers Square miles

Grant County
Square kilometers Square miles

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 11 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 11

Table 7.

Land Area by Urban and Rural Residence: 1990 Con.
Urban Rural Outside urbanized area In place Percent of total land area Urban

[For definitions of terms and meanings of symbols, see text]

State County
Total land area Total urban land area Inside urbanized area

Total

Place of 10,000 or more

Place of 2,500 to 9,999

Total rural land area

Total

Place of 1,000 to 2,499

Place of less than 1,000

Other rural

Total

Inside urbanized area

Rural

COUNTY Con. Green County
Square kilometers Square miles 1 512.7 584.0 917.7 354.3 1 975.5 762.7 1 961.4 757.3 2 557.1 987.3 1 442.8 557.1 1 988.3 767.7 706.6 272.8 887.5 342.7 1 172.7 452.8 1 641.1 633.6 2 260.4 872.7 2 287.1 883.0 1 532.1 591.6 4 001.7 1 545.1 3 631.1 1 402.0 1 179.8 455.5 927.2 358.0 625.6 241.6 2 333.4 900.9 2 585.1 998.1 2 913.0 1 124.7 1 658.6 640.4 14.6 5.6 13.4 5.2 8.6 3.3 – – 7.6 2.9 58.4 22.6 7.5 2.9 124.0 47.9 14.9 5.8 86.4 33.4 – – 14.7 5.7 36.6 14.1 55.8 21.5 138.5 53.5 25.1 9.7 – – – – 625.6 241.6 29.3 11.3 24.2 9.3 13.3 5.1 98.6 38.1 – – – – – – – – – – – – – – 106.5 41.1 – – 81.7 31.5 – – – – – – – – 104.4 40.3 – – – – – – 625.6 241.6 – – – – – – 87.3 33.7 14.6 5.6 13.4 5.2 8.6 3.3 – – 7.6 2.9 58.4 22.6 7.5 2.9 17.5 6.8 14.9 5.8 4.7 1.8 – – 14.7 5.7 36.6 14.1 55.8 21.5 34.1 13.2 25.1 9.7 – – – – – – 29.3 11.3 24.2 9.3 13.3 5.1 11.3 4.3 10.4 4.0 – – – – – – – – 30.1 11.6 – – – – – – – – – – – – – – 51.6 19.9 3.6 1.4 17.2 6.7 – – – – – – – – – – – – – – 4.2 1.6 13.4 5.2 8.6 3.3 – – 7.6 2.9 28.4 10.9 7.5 2.9 17.5 6.8 14.9 5.8 4.7 1.8 – – 14.7 5.7 36.6 14.1 4.1 1.6 30.6 11.8 7.9 3.0 – – – – – – 29.3 11.3 24.2 9.3 13.3 5.1 11.3 4.3 1 498.1 578.4 904.3 349.1 1 966.9 759.4 1 961.4 757.3 2 549.5 984.3 1 384.4 534.5 1 980.8 764.8 582.6 224.9 872.5 336.9 1 086.3 419.4 1 641.1 633.6 2 245.7 867.1 2 250.4 868.9 1 476.4 570.0 3 863.2 1 491.6 3 606.0 1 392.3 1 179.8 455.5 927.2 358.0 – – 2 304.1 889.6 2 560.9 988.8 2 899.7 1 119.6 1 560.0 602.3 14.2 5.5 19.0 7.3 34.2 13.2 14.0 5.4 11.9 4.6 14.3 5.5 30.5 11.8 18.6 7.2 5.5 2.1 11.6 4.5 14.6 5.6 5.7 2.2 – – 25.7 9.9 46.5 18.0 19.4 7.5 18.5 7.1 2.2 .8 – – 15.2 5.9 8.3 3.2 – – 29.3 11.3 10.1 3.9 13.5 5.2 8.6 3.3 8.2 3.1 – – 11.0 4.3 10.6 4.1 18.6 7.2 4.1 1.6 10.4 4.0 6.2 2.4 – – – – 13.3 5.1 30.5 11.8 7.1 2.7 8.5 3.3 – – – – – – 3.4 1.3 – – 9.5 3.7 4.1 1.6 5.5 2.1 25.6 9.9 5.8 2.2 11.9 4.6 3.3 1.3 20.0 7.7 – – 1.4 .5 1.2 .5 8.4 3.2 5.7 2.2 – – 12.4 4.8 16.0 6.2 12.4 4.8 10.1 3.9 2.2 .8 – – 15.2 5.9 4.9 1.9 – – 19.8 7.6 1 483.9 572.9 885.3 341.8 1 932.7 746.2 1 947.4 751.9 2 537.6 979.8 1 370.0 529.0 1 950.3 753.0 564.0 217.8 867.0 334.8 1 074.7 414.9 1 626.5 628.0 2 240.1 864.9 2 250.4 868.9 1 450.7 560.1 3 816.7 1 473.6 3 586.6 1 384.8 1 161.3 448.4 925.1 357.2 – – 2 288.9 883.7 2 552.5 985.5 2 899.7 1 119.6 1 530.8 591.0 1.0 1.0 1.5 1.5 .4 .4 – – .3 .3 4.0 4.0 .4 .4 17.5 17.5 1.7 1.7 7.4 7.4 – – .6 .6 1.6 1.6 3.6 3.6 3.5 3.5 .7 .7 – – – – 100.0 100.0 1.3 1.3 .9 .9 .5 .5 5.9 5.9 – – – – – – – – – – – – – – 15.1 15.1 – – 7.0 7.0 – – – – – – – – 2.6 2.6 – – – – – – 100.0 100.0 – – – – – – 5.3 5.3 99.0 99.0 98.5 98.5 99.6 99.6 100.0 100.0 99.7 99.7 96.0 96.0 99.6 99.6 82.5 82.5 98.3 98.3 92.6 92.6 100.0 100.0 99.4 99.4 98.4 98.4 96.4 96.4 96.5 96.5 99.3 99.3 100.0 100.0 100.0 100.0 – – 98.7 98.7 99.1 99.1 99.5 99.5 94.1 94.1

Green Lake County
Square kilometers Square miles

Iowa County
Square kilometers Square miles

Iron County
Square kilometers Square miles

Jackson County
Square kilometers Square miles

Jefferson County
Square kilometers Square miles

Juneau County
Square kilometers Square miles

Kenosha County
Square kilometers Square miles

Kewaunee County
Square kilometers Square miles

La Crosse County
Square kilometers Square miles

Lafayette County
Square kilometers Square miles

Langlade County
Square kilometers Square miles

Lincoln County
Square kilometers Square miles

Manitowoc County
Square kilometers Square miles

Marathon County
Square kilometers Square miles

Marinette County
Square kilometers Square miles

Marquette County
Square kilometers Square miles

Menominee County
Square kilometers Square miles

Milwaukee County
Square kilometers Square miles

Monroe County
Square kilometers Square miles

Oconto County
Square kilometers Square miles

Oneida County
Square kilometers Square miles

Outagamie County
Square kilometers Square miles

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 12 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

12 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 7.

Land Area by Urban and Rural Residence: 1990 Con.
Urban Rural Outside urbanized area In place Percent of total land area Urban

[For definitions of terms and meanings of symbols, see text]

State County
Total land area Total urban land area Inside urbanized area

Total

Place of 10,000 or more

Place of 2,500 to 9,999

Total rural land area

Total

Place of 1,000 to 2,499

Place of less than 1,000

Other rural

Total

Inside urbanized area

Rural

COUNTY Con. Ozaukee County
Square kilometers Square miles 600.8 232.0 601.7 232.3 1 493.2 576.5 2 375.9 917.3 2 088.5 806.4 3 244.5 1 252.7 862.8 333.1 1 518.4 586.3 1 866.2 720.5 2 365.2 913.2 1 869.9 722.0 2 169.7 837.7 3 254.4 1 256.5 2 311.8 892.6 1 330.4 513.7 2 525.1 975.0 1 901.4 734.1 2 058.9 795.0 2 260.6 872.8 1 438.5 555.4 2 097.2 809.7 1 115.9 430.8 1 439.0 555.6 156.2 60.3 – – 21.7 8.4 7.7 3.0 54.9 21.2 9.2 3.5 127.5 49.2 9.0 3.5 137.0 52.9 9.5 3.7 25.4 9.8 25.3 9.8 – – 13.5 5.2 77.0 29.7 8.3 3.2 – – 8.0 3.1 – – 54.7 21.1 – – 131.3 50.7 516.8 199.6 141.0 54.4 – – – – – – – – – – 115.4 44.5 – – 117.2 45.2 – – – – – – – – – – 67.8 26.2 – – – – – – – – – – – – 90.6 35.0 454.1 175.3 15.3 5.9 – – 21.7 8.4 7.7 3.0 54.9 21.2 9.2 3.5 12.1 4.7 9.0 3.5 19.9 7.7 9.5 3.7 25.4 9.8 25.3 9.8 – – 13.5 5.2 9.3 3.6 8.3 3.2 – – 8.0 3.1 – – 54.7 21.1 – – 40.7 15.7 62.7 24.2 – – – – 7.3 2.8 – – 34.6 13.4 – – – – – – – – – – 3.2 1.2 – – – – – – – – – – – – – – – – 9.9 3.8 – – 26.0 10.0 15.0 5.8 15.3 5.9 – – 14.4 5.6 7.7 3.0 20.3 7.8 9.2 3.5 12.1 4.7 9.0 3.5 19.9 7.7 9.5 3.7 22.2 8.6 25.3 9.8 – – 13.5 5.2 9.3 3.6 8.3 3.2 – – 8.0 3.1 – – 44.8 17.3 – – 14.7 5.7 47.7 18.4 444.6 171.6 601.7 232.3 1 471.5 568.1 2 368.2 914.4 2 033.6 785.2 3 235.3 1 249.1 735.3 283.9 1 509.5 582.8 1 729.2 667.6 2 355.6 909.5 1 844.5 712.2 2 144.4 827.9 3 254.4 1 256.5 2 298.3 887.4 1 253.4 483.9 2 516.8 971.7 1 901.4 734.1 2 051.0 791.9 2 260.6 872.8 1 383.8 534.3 2 097.2 809.7 984.6 380.2 922.2 356.1 6.5 2.5 8.3 3.2 18.4 7.1 56.5 21.8 22.1 8.5 28.5 11.0 34.6 13.4 7.3 2.8 7.6 2.9 26.3 10.2 34.3 13.3 39.8 15.3 281.7 108.7 40.0 15.4 26.0 10.0 15.9 6.1 30.3 11.7 29.3 11.3 19.3 7.4 57.5 22.2 29.6 11.4 12.1 4.7 40.1 15.5 3.7 1.4 4.1 1.6 7.7 3.0 23.2 8.9 4.6 1.8 6.9 2.6 33.4 12.9 – – 5.0 1.9 – – 20.1 7.8 25.2 9.7 6.8 2.6 7.9 3.0 18.9 7.3 – – 23.1 8.9 8.9 3.4 19.3 7.4 57.5 22.2 23.5 9.1 10.1 3.9 20.7 8.0 2.8 1.1 4.2 1.6 10.6 4.1 33.3 12.9 17.4 6.7 21.6 8.3 1.2 .5 7.3 2.8 2.6 1.0 26.3 10.2 14.2 5.5 14.6 5.6 274.8 106.1 32.1 12.4 7.1 2.7 15.9 6.1 7.2 2.8 20.4 7.9 – – – – 6.1 2.3 1.9 .7 19.4 7.5 438.0 169.1 593.4 229.1 1 453.1 561.0 2 311.7 892.5 2 011.5 776.6 3 206.8 1 238.1 700.7 270.5 1 502.2 580.0 1 721.6 664.7 2 329.3 899.3 1 810.2 698.9 2 104.6 812.6 2 972.8 1 147.8 2 258.3 871.9 1 227.4 473.9 2 500.9 965.6 1 871.2 722.5 2 021.6 780.6 2 241.3 865.4 1 326.3 512.1 2 067.6 798.3 972.6 375.5 882.1 340.6 26.0 26.0 – – 1.5 1.5 .3 .3 2.6 2.6 .3 .3 14.8 14.8 .6 .6 7.3 7.3 .4 .4 1.4 1.4 1.2 1.2 – – .6 .6 5.8 5.8 .3 .3 – – .4 .4 – – 3.8 3.8 – – 11.8 11.8 35.9 35.9 23.5 23.5 – – – – – – – – – – 13.4 13.4 – – 6.3 6.3 – – – – – – – – – – 5.1 5.1 – – – – – – – – – – – – 8.1 8.1 31.6 31.6 74.0 74.0 100.0 100.0 98.5 98.5 99.7 99.7 97.4 97.4 99.7 99.7 85.2 85.2 99.4 99.4 92.7 92.7 99.6 99.6 98.6 98.6 98.8 98.8 100.0 100.0 99.4 99.4 94.2 94.2 99.7 99.7 100.0 100.0 99.6 99.6 100.0 100.0 96.2 96.2 100.0 100.0 88.2 88.2 64.1 64.1

Pepin County
Square kilometers Square miles

Pierce County
Square kilometers Square miles

Polk County
Square kilometers Square miles

Portage County
Square kilometers Square miles

Price County
Square kilometers Square miles

Racine County
Square kilometers Square miles

Richland County
Square kilometers Square miles

Rock County
Square kilometers Square miles

Rusk County
Square kilometers Square miles

St. Croix County
Square kilometers Square miles

Sauk County
Square kilometers Square miles

Sawyer County
Square kilometers Square miles

Shawano County
Square kilometers Square miles

Sheboygan County
Square kilometers Square miles

Taylor County
Square kilometers Square miles

Trempealeau County
Square kilometers Square miles

Vernon County
Square kilometers Square miles

Vilas County
Square kilometers Square miles

Walworth County
Square kilometers Square miles

Washburn County
Square kilometers Square miles

Washington County
Square kilometers Square miles

Waukesha County
Square kilometers Square miles

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 13 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 13

Table 7.

Land Area by Urban and Rural Residence: 1990 Con.
Urban Rural Outside urbanized area In place Percent of total land area Urban

[For definitions of terms and meanings of symbols, see text]

State County
Total land area Total urban land area Inside urbanized area

Total

Place of 10,000 or more

Place of 2,500 to 9,999

Total rural land area

Total

Place of 1,000 to 2,499

Place of less than 1,000

Other rural

Total

Inside urbanized area

Rural

COUNTY

Con.

Waupaca County
Square kilometers Square miles 1 945.5 751.1 31.6 12.2 – – 31.6 12.2 – – 31.6 12.2 1 913.8 738.9 38.1 14.7 26.2 10.1 11.8 4.6 1 875.8 724.2 1.6 1.6 – – 98.4 98.4

Waushara County
Square kilometers Square miles 1 621.6 626.1 1.5 .6 – – 1.5 .6 – – 1.5 .6 1 620.1 625.5 25.6 9.9 10.2 3.9 15.5 6.0 1 594.5 615.6 .1 .1 – – 99.9 99.9

Winnebago County
Square kilometers Square miles 1 136.1 438.6 114.3 44.1 109.3 42.2 5.1 2.0 – – 5.1 2.0 1 021.7 394.5 3.7 1.4 3.7 1.4 – – 1 018.0 393.1 10.1 10.1 9.6 9.6 89.9 89.9

Wood County
Square kilometers Square miles 2 053.5 792.9 65.4 25.3 – – 65.4 25.3 56.7 21.9 8.8 3.4 1 988.1 767.6 59.0 22.8 25.4 9.8 33.6 13.0 1 929.1 744.8 3.2 3.2 – – 96.8 96.8

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 14 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

14 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
The State Adams County † Adams city † Adams town † Big Flats town Colburn town Dell Prairie town Easton town Friendship village † Jackson town Leola town Lincoln town Monroe town New Chester town New Haven town Preston town Quincy town Richfield town Rome town Springville town Strongs Prairie town Wisconsin Dells city (pt.) Ashland County † Agenda town Ashland city Ashland town Butternut village Chippewa town Gingles town Gordon town Jacobs town La Pointe town Marengo town Mellen city † Morse town † Peeksville town Sanborn town Odanah CDP Shanagolden town White River town Barron County † Almena town Almena village Arland town Barron city † Barron town † Bear Lake town Cameron village Cedar Lake town Chetek city Chetek town Clinton town Crystal Lake town Cumberland city Cumberland town Dallas town Dallas village Dovre town † Doyle town Haugen village Lakeland town

1990 4 891 769 15 682 1 715 1 170 731 154 1 063 824 728 641 217 318 305 1 675 511 1 057 927 159 1 674 785 1 028 – 16 307 591 8 695 567 416 405 492 301 885 147 284 935 481 167 998 190 172 771 40 750 773 625 609 2 986 1 015 530 1 273 741 1 953 1 446 849 700 2 163 884 548 452 561 460 305 789 926 610 26 906 567 494 129 998 473 635 644 087

1980 r4 705 642 13 457 1 744 961 694 177 856 858 744 640 237 289 288 1 088 522 967 639 183 1 110 584 876 … 16 783 623 9 115 596 438 402 545 333 907 156 276 1 046 469 184 834 … 174 685 38 730 776 526 692 2 595 977 521 1 115 617 1 931 1 210 851 756 1 983 909 567 477 526 455 251 672 948 577 14 892 634 387 076 691 372 643 721 813

1970 4 417 821 9 234 1 440 692 482 121 435 491 641 497 184 283 252 420 543 607 444 165 368 449 720 … 16 743 512 9 615 504 453 417 456 312 928 159 257 1 168 401 145 662 … 148 606 33 955 731 423 605 2 337 893 426 893 423 1 630 918 757 712 1 839 910 465 359 539 426 246 580 859 493 … 836 594 426 923 7 278 1 667 563 757 1 064

1990 2 055 774 12 418 791 723 824 166 638 600 298 836 176 239 359 582 297 847 1 468 109 1 662 815 988 – 8 371 309 3 733 245 200 287 232 359 488 586 154 445 304 115 432 71 184 298 19 363 609 270 233 1 283 323 308 542 626 991 1 204 332 423 1 060 398 202 177 207 180 131 512 337 610 7 316 204 207 762 3 520 985 225 249 805

1980 r1 863 857 10 084 737 621 752 110 495 515 281 768 157 191 286 472 282 806 1 232 103 1 172 489 615 … 7 781 265 3 833 249 187 235 198 336 458 372 158 442 266 96 296 … 128 262 17 153 522 238 232 1 083 329 255 452 525 962 1 170 312 373 892 365 201 176 197 163 110 410 324 439 6 291 203 179 663 3 116 847 224 237 663

1970 1 472 322 5 242 550 304 362 79 243 302 241 411 113 122 189 225 231 380 552 83 250 243 362 … 6 516 187 3 362 191 183 200 129 218 382 346 120 383 247 52 241 … 84 191 12 673 410 164 189 844 268 179 329 237 695 625 275 242 722 291 173 136 175 133 84 291 299 292 … 225 164 136 484 2 440 559 184 219 374

Square kilometers 169 643.0 1 783.4 7.5 131.2 124.6 93.1 89.6 93.6 2.4 92.7 96.4 93.7 99.7 81.3 78.7 92.9 102.6 91.8 161.4 115.7 134.5 – 5 932.8 231.9 34.8 107.0 4.1 325.1 101.6 277.1 133.1 202.0 187.3 4.8 270.4 95.6 416.4 4.1 232.8 114.3 2 305.3 84.4 2.6 91.5 7.0 86.0 91.2 6.5 91.7 7.9 86.9 91.7 91.7 8.0 85.7 87.7 3.9 91.2 92.2 1.3 91.5 91.9 93.2 .5 91.3 89.1 2.6 90.4 19.5 73.1 91.3 93.1 85.9

Square miles 65 499.2 688.6 2.9 50.6 48.1 35.9 34.6 36.2 .9 35.8 37.2 36.2 38.5 31.4 30.4 35.9 39.6 35.5 62.3 44.7 51.9 – 2 290.7 89.5 13.4 41.3 1.6 125.5 39.2 107.0 51.4 78.0 72.3 1.9 104.4 36.9 160.8 1.6 89.9 44.1 890.1 32.6 1.0 35.3 2.7 33.2 35.2 2.5 35.4 3.1 33.6 35.4 35.4 3.1 33.1 33.9 1.5 35.2 35.6 .5 35.3 35.5 36.0 .2 35.3 34.4 1.0 34.9 7.5 28.2 35.2 36.0 33.1

Square kilometers 140 672.4 1 677.8 7.5 130.9 124.6 93.1 86.6 93.5 2.3 90.2 96.4 93.7 56.7 80.8 75.8 91.7 85.0 91.8 140.5 113.7 122.8 – 2 703.7 229.6 34.1 106.8 4.1 322.3 101.6 270.5 132.3 200.9 184.8 4.8 266.2 95.3 405.1 4.0 231.3 114.1 2 234.9 79.5 2.6 91.5 6.8 85.8 85.2 6.2 81.1 6.1 78.9 91.0 87.0 6.5 83.2 87.7 3.8 91.0 92.2 1.3 85.6 91.9 86.2 .5 90.2 89.1 2.5 85.8 16.8 69.9 90.5 93.0 84.4

Square miles 54 313.7 647.8 2.9 50.6 48.1 35.9 33.4 36.1 .9 34.8 37.2 36.2 21.9 31.2 29.3 35.4 32.8 35.5 54.3 43.9 47.4 – 1 043.9 88.7 13.2 41.2 1.6 124.4 39.2 104.4 51.1 77.6 71.3 1.9 102.8 36.8 156.4 1.5 89.3 44.0 862.9 30.7 1.0 35.3 2.6 33.1 32.9 2.4 31.3 2.4 30.4 35.1 33.6 2.5 32.1 33.9 1.5 35.1 35.6 .5 33.0 35.5 33.3 .2 34.8 34.4 1.0 33.1 6.5 27.0 34.9 35.9 32.6

Square kilometer 34.8 9.3 228.7 8.9 5.9 1.7 12.3 8.8 316.5 7.1 2.3 3.4 5.4 20.7 6.7 11.5 10.9 1.7 11.9 6.9 8.4 – 6.0 2.6 255.0 5.3 101.5 1.3 4.8 1.1 6.7 .7 1.5 194.8 1.8 1.8 2.5 47.5 .7 6.8 18.2 9.7 240.4 6.7 439.1 11.8 6.2 205.3 9.1 320.2 18.3 9.3 8.0 332.8 10.6 6.2 118.9 6.2 5.0 234.6 9.2 10.1 7.1 52.0 10.0 6.4 197.6 13.2 476.1 35.4 7.0 6.9 24.7

Square mile 90.1 24.2 591.4 23.1 15.2 4.3 31.8 22.8 808.9 18.4 5.8 8.8 13.9 53.7 17.4 29.9 28.3 4.5 30.8 17.9 21.7 – 15.6 6.7 658.7 13.8 260.0 3.3 12.6 2.9 17.3 1.9 4.0 492.1 4.7 4.5 6.4 126.7 1.9 17.5 47.2 25.2 625.0 17.3 1 148.5 30.7 16.1 530.4 23.7 813.8 47.6 24.2 20.8 865.2 27.5 16.2 301.3 16.0 12.9 610.0 23.9 26.1 18.3 130.0 26.0 16.5 494.0 34.1 1 230.5 91.6 18.2 17.9 64.0

Square kilometer 14.6 7.4 105.5 5.5 6.6 1.8 7.4 6.4 129.6 9.3 1.8 2.6 6.3 7.2 3.9 9.2 17.3 1.2 11.8 7.2 8.0 – 3.1 1.3 109.5 2.3 48.8 .9 2.3 1.3 3.7 2.9 .8 92.7 1.1 1.2 1.1 17.8 .8 2.6 8.7 7.7 103.8 2.5 188.7 3.8 3.6 87.4 7.7 162.5 15.3 3.6 4.9 163.1 4.8 2.3 46.6 2.3 2.0 100.8 6.0 3.7 7.1 14.0 3.5 2.3 82.8 8.9 209.5 14.1 2.5 2.7 9.5

Square mile 37.9 19.2 272.8 14.3 17.1 4.6 19.1 16.6 331.1 24.0 4.7 6.6 16.4 18.7 10.1 23.9 44.8 3.1 30.6 18.6 20.8 – 8.0 3.5 282.8 5.9 125.0 2.3 5.9 3.4 9.5 7.6 2.2 234.2 3.0 3.1 2.8 47.3 2.1 6.8 22.4 19.8 270.0 6.6 493.5 9.8 9.4 225.8 20.0 412.9 39.6 9.5 12.6 424.0 12.4 6.0 118.0 5.9 5.1 262.0 15.5 9.5 18.3 35.0 9.1 5.9 207.0 23.0 541.5 36.5 6.4 6.9 24.7

†

†

† † †

Maple Grove town Maple Plain town † New Auburn village (pt.) Oak Grove town Prairie Farm town Prairie Farm village Prairie Lake town Rice Lake city † Rice Lake town † Sioux Creek town Stanfold town Stanley town †

†

1 7 2 2

1 7 2 1

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 15 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 15

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Barron County † Con. Sumner town Turtle Lake town Turtle Lake village (pt.) Vance Creek town Bayfield County † Barksdale town Barnes town Bayfield city Bayfield town Bayview town Bell town Cable town † Clover town Delta town Drummond town Eileen town Grand View town Hughes town Iron River town Kelly town Keystone town Lincoln town Mason town Mason village Namakagon town Orienta town Oulu town Pilsen town Port Wing town Russell town Tripp town Washburn city Washburn town Brown County † Allouez village † Ashwaubenon village † Bellevue town Bellevue Town CDP Denmark village De Pere city † De Pere town † Eaton town Glenmore town Green Bay city † Green Bay town Hobart town † Oneida CDP (pt.) Holland town Howard village † Humboldt town Lawrence town † Morrison town New Denmark town Pittsfield town † Pulaski village † Rockland town Scott town Suamico town Wrightstown town † Wrightstown village † Buffalo County † Alma city † Alma town Belvidere town Buffalo city Buffalo town Canton town Cochrane village Cross town Dover town Fountain City city

1990 550 621 811 611 14 008 756 473 686 603 402 237 817 213 215 417 665 419 334 901 383 320 294 296 102 276 114 513 203 434 978 182 2 285 490 194 14 16 7 7 1 16 1 1 1 96 1 4 1 9 1 1 1 1 2 2 2 5 1 1 594 431 376 541 541 612 569 558 128 057 466 292 284 415 237 874 334 363 493 370 165 200 974 044 214 750 262

1980 556 587 762 650 13 822 762 493 778 607 343 247 604 254 205 442 664 440 290 991 354 344 280 304 102 286 109 547 222 525 791 145 2 080 386 175 280 … 14 486 4 101 … 1 475 14 892 1 535 1 106 1 046 87 899 1 106 3 765 … 1 268 8 240 1 281 1 431 1 565 1 420 2 219 1 875 882 1 929 4 003 1 705 1 169 14 309 r848 397 425 894 821 359 512 393 455 963

1970 465 673 637 608 11 683 574 311 874 503 297 205 457 277 150 349 599 370 174 716 336 314 206 304 119 224 108 505 193 385 475 138 1 957 282 158 244 … … 1 736 … 1 364 13 309 1 365 1 049 1 110 87 809 958 2 599 … 1 211 4 911 1 101 1 622 1 473 1 203 1 647 1 717 983 1 969 2 830 1 463 1 020 13 743 956 371 464 671 782 443 506 363 435 1 017 74 5 6 2 2 5

1990 215 263 394 253 10 918 319 1 313 446 355 214 364 738 263 358 627 268 502 380 928 163 150 187 144 41 628 151 267 86 313 416 111 994 192 740 066 245 869 869 650 938 507 374 314 726 575 339 146 368 515 396 453 497 438 699 877 311 801 786 553 443

1980 202 217 325 250 9 642 284 1 049 392 364 192 343 537 255 253 645 239 449 311 857 141 145 150 137 46 536 101 237 85 282 319 96 906 156 62 282 … 4 796 1 425 … 589 4 792 414 329 278 34 445 449 1 043 … 338 2 575 359 409 477 399 634 701 245 782 1 284 486 361 5 478 r420 137 182 425 277 115 209 118 158 389

1970 176 212 241 206 6 789 206 647 330 202 163 259 298 180 198 452 175 320 150 587 118 101 139 119 43 330 85 204 65 214 175 72 718 119 45 198 … … 426 … 450 3 441 307 259 233 27 061 355 594 … 268 1 275 267 343 403 293 404 519 211 717 842 345 276 4 597 393 107 158 297 230 112 172 96 140 348

Square kilometers 92.4 92.3 6.0 92.0 5 288.1 172.6 321.8 1.8 347.5 145.3 156.5 185.0 155.1 187.0 370.9 91.4 277.5 138.5 90.3 95.0 93.5 92.9 93.0 1.3 187.0 140.7 91.9 90.2 121.0 259.4 90.5 16.0 220.7 1 594.1 13.3 28.0 37.0 37.0 3.8 23.4 46.4 62.9 84.8 140.6 79.4 86.6 3.8 93.2 59.4 62.0 51.7 94.4 90.2 84.4 4.6 59.2 140.7 153.6 88.6 5.7 1 837.9 20.0 111.3 89.0 15.3 88.6 92.8 1.9 97.6 93.8 14.4

Square miles 35.7 35.6 2.3 35.5 2 041.8 66.7 124.3 .7 134.2 56.1 60.4 71.4 59.9 72.2 143.2 35.3 107.1 53.5 34.9 36.7 36.1 35.9 35.9 .5 72.2 54.3 35.5 34.8 46.7 100.2 34.9 6.2 85.2 615.5 5.2 10.8 14.3 14.3 1.5 9.0 17.9 24.3 32.7 54.3 30.7 33.4 1.5 36.0 22.9 24.0 20.0 36.5 34.8 32.6 1.8 22.9 54.3 59.3 34.2 2.2 709.6 7.7 43.0 34.4 5.9 34.2 35.8 .7 37.7 36.2 5.6

Square kilometers 92.4 91.1 5.8 91.9 3 823.9 143.9 304.4 1.8 231.2 107.4 154.5 179.3 154.4 180.2 355.3 91.2 270.2 134.7 81.4 95.0 92.8 92.0 93.0 1.3 168.3 140.2 91.9 89.7 120.7 129.1 89.9 10.2 220.2 1 369.4 12.0 27.1 36.9 36.9 3.8 21.6 46.0 62.7 84.8 113.5 57.3 86.3 3.6 93.2 46.5 62.0 50.0 90.8 89.9 84.3 4.5 57.8 51.1 93.9 88.0 5.2 1 772.9 15.0 111.0 85.4 5.2 77.3 92.8 1.9 97.6 93.8 11.5

Square miles 35.7 35.2 2.2 35.5 1 476.4 55.5 117.5 .7 89.3 41.5 59.6 69.2 59.6 69.6 137.2 35.2 104.3 52.0 31.4 36.7 35.8 35.5 35.9 .5 65.0 54.1 35.5 34.6 46.6 49.8 34.7 3.9 85.0 528.7 4.6 10.4 14.2 14.2 1.5 8.3 17.8 24.2 32.7 43.8 22.1 33.3 1.4 36.0 18.0 24.0 19.3 35.1 34.7 32.5 1.8 22.3 19.7 36.2 34.0 2.0 684.5 5.8 42.8 33.0 2.0 29.9 35.8 .7 37.7 36.2 4.5

Square kilometer 6.0 6.8 139.8 6.6 3.7 5.3 1.6 381.1 2.6 3.7 1.5 4.6 1.4 1.2 1.2 7.3 1.6 2.5 11.1 4.0 3.4 3.2 3.2 78.5 1.6 .8 5.6 2.3 3.6 7.6 2.0 224.0 2.2 142.1 1 202.6 604.3 204.4 204.4 424.2 767.1 33.9 18.0 12.5 849.9 22.5 49.6 115.3 13.3 212.3 21.5 27.3 16.4 15.2 25.7 488.9 16.9 40.0 55.5 19.9 242.7 7.7 52.7 4.3 5.9 176.0 8.9 3.3 250.0 3.1 4.8 81.6

Square mile 15.4 17.6 368.6 17.2 9.5 13.6 4.0 980.0 6.8 9.7 4.0 11.8 3.6 3.1 3.0 18.9 4.0 6.4 28.7 10.4 8.9 8.3 8.2 204.0 4.2 2.1 14.5 5.9 9.3 19.6 5.2 585.9 5.8 368.1 3 137.2 1 574.6 531.1 531.1 1 074.7 1 996.3 87.5 46.6 32.3 2 202.4 58.5 128.6 296.4 34.4 548.6 55.6 70.6 42.5 39.5 66.6 1 222.2 43.7 103.8 144.0 51.5 631.0 19.8 136.2 11.2 15.3 457.5 22.9 8.6 678.6 8.1 12.5 208.4

Square kilometer 2.3 2.9 67.9 2.8 2.9 2.2 4.3 247.8 1.5 2.0 2.4 4.1 1.7 2.0 1.8 2.9 1.9 2.8 11.4 1.7 1.6 2.0 1.5 31.5 3.7 1.1 2.9 1.0 2.6 3.2 1.2 97.5 .9 54.6 422.2 230.4 77.8 77.8 171.1 274.9 11.0 6.0 3.7 350.0 10.0 15.5 40.6 3.9 75.6 6.4 9.1 5.5 4.9 8.3 194.9 5.4 15.7 19.0 6.3 85.2 3.2 26.4 1.6 2.6 86.0 3.4 1.2 113.7 1.1 1.6 36.3

Square mile 6.0 7.5 179.1 7.1 7.4 5.7 11.2 637.1 4.0 5.2 6.1 10.7 4.4 5.1 4.6 7.6 4.8 7.3 29.6 4.4 4.2 5.3 4.0 82.0 9.7 2.8 7.5 2.5 6.7 8.4 3.2 254.9 2.3 141.4 1 101.3 600.5 202.0 202.0 433.3 715.4 28.5 15.5 9.6 907.0 26.0 40.2 104.3 10.2 195.3 16.5 23.5 14.2 12.6 21.5 487.2 13.9 40.7 49.3 16.3 221.5 8.2 68.3 4.1 6.6 223.5 8.8 3.0 308.6 2.9 4.1 92.7

39 1 3

1

13 584 790 479 505 915 686 309 475 307 451 938

5 586 396 175 218 447 264 109 216 111 147 417

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 16 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

16 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Buffalo County † Con. Gilmanton town Glencoe town Lincoln town Maxville town Milton town Modena town Mondovi city † Mondovi town Montana town Naples town Nelson town Nelson village Waumandee town Burnett County † Anderson town Blaine town Daniels town Dewey town Grantsburg town Grantsburg village Jackson town La Follette town Lincoln town Meenon town Oakland town Roosevelt town Rusk town Sand Lake town Scott town Siren town Siren village Swiss town Trade Lake town Union town Webb Lake town Webster village † West Marshland town Wood River town Calumet County † Appleton city (pt.) Brillion city † Brillion town Brothertown town Charlestown town Chilton city † Chilton town Harrison town Hilbert village Kiel city (pt.) † Menasha city (pt.) New Holstein city New Holstein town Potter village † Rantoul town Sherwood village Stockbridge town Stockbridge village Woodville town Chippewa County † Anson town Arthur town Auburn town Birch Creek town Bloomer city † Bloomer town Boyd village Cadott village Chippewa Falls city Cleveland town † 34 9 2 1 1

1990 469 502 250 370 450 360 2 491 545 316 496 571 388 521 13 084 324 172 602 482 860 1 144 457 416 228 956 480 175 396 439 419 910 863 645 831 221 200 623 293 948 291 075 840 300 409 875 3 240 998 3 195 1 211 376 73 3 342 1 406 252 895 837 1 317 579 1 071 52 360 1 634 756 474 500 3 085 880 683 1 328 12 727 758 30 5 2 1 1 1 2 1 3 1

1980 498 558 272 403 416 436 2 545 511 337 580 r703 389 594 12 340 265 151 607 520 677 1 153 331 388 215 838 486 178 349 422 409 887 896 587 824 199 256 610 209 883 867 484 907 191 494 090 965 120 541 176 429 27 3 2 1 1 1 3 1 3

1970 546 515 297 360 370 456 2 338 435 409 559 870 … 580 9 276 193 129 532 419 501 930 128 269 119 596 311 177 211 306 252 550 639 518 673 147 125 502 173 876 604 401 588 324 420 079 030 116 260 896 298

1990 173 171 106 120 180 148 1 080 184 113 191 237 190 193 11 743 262 243 446 241 411 508 904 409 176 749 918 153 325 419 783 703 456 794 579 390 771 301 252 550 12 465 3 153 1 069 439 594 293 1 287 312 1 155 475 130 26 1 239 466 93 253 325 575 257 324 21 024 655 264 159 392 1 290 314 266 540 5 338 318

1980 176 175 109 125 173 154 1 031 166 107 182 r281 176 193 10 359 181 211 390 238 319 444 736 370 133 719 791 125 281 364 733 650 420 683 536 340 692 270 161 572 10 428 1 825 1 014 382 562 334 1 109 310 1 230 433 131 … 1 121 447 … 329 130 547 224 300 19 203 584 249 136 392 1 266 309 267 487 4 629 284

1970 169 130 106 103 142 154 847 136 97 162 333 … 165 6 698 108 152 285 169 230 335 303 219 82 429 519 93 149 221 427 372 322 456 418 243 396 198 123 449 7 884 910 827 375 456 277 933 264 947 288 85 … 879 357 … 309 97 431 187 262 14 999 482 217 125 260 1 050 227 218 322 4 072 206

Square kilometers 94.0 115.7 96.5 110.8 76.5 93.5 8.3 84.7 122.2 92.8 201.0 3.8 113.4 2 280.3 165.7 182.0 92.7 95.5 94.4 7.6 90.5 101.2 91.1 86.5 85.3 91.6 89.9 93.8 88.6 93.5 2.7 157.2 92.0 98.1 93.7 4.3 190.2 92.4 1 028.4 5.6 5.9 87.1 141.0 83.2 9.4 84.3 159.2 2.6 .9 .8 5.3 83.6 1.4 84.4 6.3 173.7 8.2 85.6 2 697.1 102.4 111.6 92.5 120.8 6.4 123.8 4.8 7.5 27.1 146.0

Square miles 36.3 44.7 37.2 42.8 29.5 36.1 3.2 32.7 47.2 35.8 77.6 1.5 43.8 880.4 64.0 70.3 35.8 36.9 36.5 2.9 34.9 39.1 35.2 33.4 32.9 35.4 34.7 36.2 34.2 36.1 1.0 60.7 35.5 37.9 36.2 1.7 73.4 35.7 397.1 2.2 2.3 33.6 54.5 32.1 3.6 32.5 61.5 1.0 .3 .3 2.1 32.3 .5 32.6 2.4 67.0 3.2 33.0 1 041.4 39.5 43.1 35.7 46.6 2.5 47.8 1.8 2.9 10.5 56.4

Square kilometers 94.0 115.7 96.5 108.9 64.9 93.5 8.2 84.7 122.2 92.8 183.0 3.8 113.3 2 127.8 162.6 178.3 87.3 94.0 92.5 7.6 75.5 95.9 90.2 82.9 67.3 91.0 84.5 84.8 71.8 81.6 2.6 148.8 84.3 89.3 82.8 4.3 179.6 88.3 828.5 5.6 5.9 87.0 95.3 83.1 9.3 84.3 92.1 2.6 .9 .8 5.3 83.4 1.4 84.0 6.3 87.5 8.2 85.6 2 617.1 96.9 111.2 92.5 115.5 6.3 121.9 4.8 7.5 25.5 140.2

Square miles 36.3 44.7 37.2 42.0 25.0 36.1 3.2 32.7 47.2 35.8 70.7 1.5 43.8 821.5 62.8 68.8 33.7 36.3 35.7 2.9 29.1 37.0 34.8 32.0 26.0 35.1 32.6 32.8 27.7 31.5 1.0 57.4 32.5 34.5 32.0 1.7 69.3 34.1 319.9 2.2 2.3 33.6 36.8 32.1 3.6 32.5 35.6 1.0 .3 .3 2.1 32.2 .5 32.4 2.4 33.8 3.2 33.0 1 010.5 37.4 42.9 35.7 44.6 2.4 47.1 1.8 2.9 9.8 54.1

Square kilometer 5.0 4.3 2.6 3.4 6.9 3.9 303.8 6.4 2.6 5.3 3.1 102.1 4.6 6.1 2.0 1.0 6.9 5.1 9.3 150.5 6.1 4.3 2.5 11.5 7.1 1.9 4.7 5.2 5.8 11.2 331.9 4.3 9.9 2.5 2.4 144.9 1.6 10.7 41.4 1 620.5 481.4 14.9 14.8 10.5 348.4 11.8 34.7 465.8 417.8 91.3 630.6 16.9 180.0 10.7 132.9 15.1 70.6 12.5 20.0 16.9 6.8 5.1 4.3 489.7 7.2 142.3 177.1 499.1 5.4

Square mile 12.9 11.2 6.7 8.8 18.0 10.0 778.4 16.7 6.7 13.9 8.1 258.7 11.9 15.9 5.2 2.5 17.9 13.3 24.1 394.5 15.7 11.2 6.6 29.9 18.5 5.0 12.1 13.4 15.1 28.9 863.0 11.2 25.6 6.4 6.3 366.5 4.2 27.8 107.2 4 125.0 1 234.8 38.7 38.3 27.3 900.0 30.7 89.7 1 211.0 1 253.3 243.3 1 591.4 43.7 504.0 27.6 348.8 39.0 180.9 32.5 51.8 43.7 17.6 13.3 11.2 1 285.4 18.7 379.4 457.9 1 298.7 14.0

Square kilometer 1.8 1.5 1.1 1.1 2.8 1.6 131.7 2.2 .9 2.1 1.3 50.0 1.7 5.5 1.6 1.4 5.1 2.6 4.4 66.8 12.0 4.3 2.0 9.0 13.6 1.7 3.8 4.9 10.9 8.6 175.4 5.3 6.9 4.4 9.3 70.0 1.4 6.2 15.0 563.0 181.2 5.0 6.2 3.5 138.4 3.7 12.5 182.7 144.4 32.5 233.8 5.6 66.4 3.0 51.6 6.6 31.3 3.8 8.0 6.8 2.4 1.7 3.4 204.8 2.6 55.4 72.0 209.3 2.3

Square mile 4.8 3.8 2.8 2.9 7.2 4.1 337.5 5.6 2.4 5.3 3.4 126.7 4.4 14.3 4.2 3.5 13.2 6.6 11.5 175.2 31.1 11.1 5.1 23.4 35.3 4.4 10.0 12.8 28.3 22.3 456.0 13.8 17.8 11.3 24.1 177.1 3.6 16.1 39.0 1 433.2 464.8 13.1 16.1 9.1 357.5 9.6 32.4 475.0 433.3 86.7 590.0 14.5 186.0 7.8 135.4 17.0 80.3 9.8 20.8 17.5 6.2 4.5 8.8 537.5 6.7 147.8 186.2 544.7 5.9

†

† †

† †

… 3 412 1 527 … 1 184 372 1 248 567 1 160 52 127 1 590 856 456 540 3 342 930 660 1 247 12 270 732

… 3 012 1 513 … 1 243 350 1 285 582 1 207 47 717 1 446 774 408 365 3 143 800 574 977 12 351 607

†

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 17 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 17

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Chippewa County † Con. Colburn town Cooks Valley town Cornell city Delmar town Eagle Point town Eau Claire city (pt.) † Edson town Estella town Goetz town Hallie town Howard town Lafayette town Lake Wissota CDP Lake Holcombe town New Auburn village (pt.) † Ruby town Sampson town Sigel town Stanley city Tilden town Wheaton town Woodmohr town Clark County † Abbotsford city (pt.) Beaver town Butler town Colby city (pt.) † Colby town † Curtiss village † Dewhurst town Dorchester village Eaton town Foster town Fremont town Grant town Granton village Green Grove town Greenwood city Hendren town Hewett town Hixon town † Hoard town Levis town Longwood town Loyal city † Loyal town † Lynn town Mayville town Mead town Mentor town Neillsville city Owen city † Pine Valley town Reseburg town Seif town Sherman town Sherwood town Thorp city Thorp town Unity town Unity village (pt.) Warner town Washburn town Weston town Withee town Withee village Worden town York town †

1990 731 594 1 541 994 2 542 1 676 913 449 640 4 531 625 4 448 2 175 920 459 464 817 736 2 011 1 079 2 279 1 086 31 647 1 409 703 91 1 116 846 173 197 697 640 85 963 890 379 628 969 542 314 673 805 492 661 1 244 718 703 932 249 521 2 680 895 1 032 687 211 736 195 1 657 710 735 196 599 310 662 767 503 575 857

1980 760 603 583 062 750 657 061 483 607 275 660 181 788 791 452 514 805 782 095 088 328 967

1970 678 610 1 616 1 079 2 224 957 1 082 484 613 3 568 643 4 189 1 419 648 368 469 724 654 2 049 963 1 782 872 30 361 1 108 718 83 885 812 135 99 491 572 51 905 736 288 663 1 036 526 170 791 919 337 728 1 126 819 555 957 237 584 2 750 1 031 923 742 162 674 199 1 469 873 796 154 607 325 602 801 480 595 847

1990 272 178 635 320 922 564 303 173 198 1 616 202 1 793 918 587 188 196 705 252 880 352 794 358 12 904 602 221 44 421 256 77 317 283 199 165 339 329 164 217 440 232 181 249 187 271 244 550 215 251 295 237 252 1 199 437 435 220 93 224 142 754 250 234 71 200 193 258 265 235 189 267

1980 259 176 622 300 866 558 306 159 172 1 475 193 1 565 678 548 178 163 692 235 850 296 709 278 12 384 581 217 38 415 234 61 239 239 194 159 320 330 166 221 476 219 158 271 194 227 241 528 219 214 284 239 237 1 153 448 393 227 100 209 104 739 241 221 74 203 159 226 284 226 191 265

1970 216 151 515 268 618 283 257 148 152 886 160 1 153 527 368 128 152 529 168 749 230 463 226 9 913 394 175 34 318 211 54 164 164 157 119 282 233 112 200 380 188 98 225 172 145 218 411 195 177 248 194 221 960 373 271 197 72 181 76 540 232 195 54 178 113 190 235 175 150 232

Square kilometers 171.9 88.8 10.5 112.7 174.0 9.5 139.8 83.6 77.5 57.4 92.7 101.7 11.5 79.4 8.3 138.8 176.5 93.9 7.8 93.4 143.3 92.3 3 157.6 2.9 93.5 93.2 2.0 87.6 1.8 93.6 3.2 88.2 185.3 91.3 92.7 1.4 94.5 6.8 92.9 92.7 87.7 91.4 93.7 92.9 3.3 90.2 92.2 84.3 92.4 92.8 7.1 4.6 87.0 93.1 93.3 90.6 93.1 2.7 91.7 90.2 .9 90.8 94.1 94.0 91.1 1.6 93.6 93.5

Square miles 66.4 34.3 4.1 43.5 67.2 3.7 54.0 32.3 29.9 22.1 35.8 39.3 4.4 30.7 3.2 53.6 68.2 36.3 3.0 36.1 55.3 35.6 1 219.1 1.1 36.1 36.0 .8 33.8 .7 36.2 1.2 34.1 71.5 35.2 35.8 .5 36.5 2.6 35.9 35.8 33.9 35.3 36.2 35.9 1.3 34.8 35.6 32.5 35.7 35.8 2.7 1.8 33.6 35.9 36.0 35.0 36.0 1.1 35.4 34.8 .4 35.1 36.3 36.3 35.2 .6 36.1 36.1

Square kilometers 168.5 88.8 9.2 112.6 160.8 9.3 139.7 82.4 77.5 56.1 92.7 90.0 9.8 69.7 8.3 138.5 161.9 93.8 7.7 93.2 142.2 92.1 3 148.7 2.9 93.5 93.2 2.0 87.6 1.8 91.7 3.2 88.1 184.7 91.3 92.7 1.4 94.5 6.7 92.8 92.6 86.7 91.4 93.0 92.9 3.3 90.2 92.0 84.1 91.0 92.5 7.0 4.5 86.6 93.1 93.3 90.6 92.6 2.7 91.7 90.2 .9 90.5 93.9 93.6 91.1 1.6 93.6 93.5

Square miles 65.0 34.3 3.6 43.5 62.1 3.6 54.0 31.8 29.9 21.7 35.8 34.7 3.8 26.9 3.2 53.5 62.5 36.2 3.0 36.0 54.9 35.5 1 215.7 1.1 36.1 36.0 .8 33.8 .7 35.4 1.2 34.0 71.3 35.2 35.8 .5 36.5 2.6 35.8 35.8 33.5 35.3 35.9 35.9 1.3 34.8 35.5 32.5 35.1 35.7 2.7 1.7 33.4 35.9 36.0 35.0 35.7 1.1 35.4 34.8 .4 34.9 36.3 36.1 35.2 .6 36.1 36.1

Square kilometer 4.3 6.7 167.5 8.8 15.8 180.2 6.5 5.4 8.3 80.8 6.7 49.4 221.9 13.2 55.3 3.4 5.0 7.8 261.2 11.6 16.0 11.8 10.1 485.9 7.5 1.0 558.0 9.7 96.1 2.1 217.8 7.3 .5 10.5 9.6 270.7 6.6 144.6 5.8 3.4 7.8 8.8 5.3 7.1 377.0 8.0 7.6 11.1 2.7 5.6 382.9 198.9 11.9 7.4 2.3 8.1 2.1 613.7 7.7 8.1 217.8 6.6 3.3 7.1 8.4 314.4 6.1 9.2

Square mile 11.2 17.3 428.1 22.9 40.9 465.6 16.9 14.1 21.4 208.8 17.5 128.2 572.4 34.2 143.4 8.7 13.1 20.3 670.3 30.0 41.5 30.6 26.0 1 280.9 19.5 2.5 1 395.0 25.0 247.1 5.6 580.8 18.8 1.2 27.4 24.9 758.0 17.2 372.7 15.1 8.8 20.1 22.8 13.7 18.4 956.9 20.6 19.8 28.7 7.1 14.6 992.6 526.5 30.9 19.1 5.9 21.0 5.5 1 506.4 20.1 21.1 490.0 17.2 8.5 18.3 21.8 838.3 15.9 23.7

Square kilometer 1.6 2.0 69.0 2.8 5.7 60.6 2.2 2.1 2.6 28.8 2.2 19.9 93.7 8.4 22.7 1.4 4.4 2.7 114.3 3.8 5.6 3.9 4.1 207.6 2.4 .5 210.5 2.9 42.8 3.5 88.4 2.3 .9 3.7 3.5 117.1 2.3 65.7 2.5 2.0 2.9 2.0 2.9 2.6 166.7 2.4 2.7 3.5 2.6 2.7 171.3 97.1 5.0 2.4 1.0 2.5 1.5 279.3 2.7 2.6 78.9 2.2 2.1 2.8 2.9 146.9 2.0 2.9

Square mile 4.2 5.2 176.4 7.4 14.8 156.7 5.6 5.4 6.6 74.5 5.6 51.7 241.6 21.8 58.8 3.7 11.3 7.0 293.3 9.8 14.5 10.1 10.6 547.3 6.1 1.2 526.3 7.6 110.0 9.0 235.8 5.9 2.3 9.6 9.2 328.0 5.9 169.2 6.5 5.1 7.4 5.3 7.5 6.8 423.1 6.2 7.1 9.1 6.8 7.1 444.1 257.1 13.0 6.1 2.6 6.4 4.0 685.5 7.1 6.7 177.5 5.7 5.3 7.1 7.5 391.7 5.2 7.4

1 1 2 1 1 4 4 1

2 1 2

32 910 1 401 777 81 1 151 800 127 132 613 663 111 982 882 399 678 1 124 570 301 810 881 433 673 1 252 882 587 962 303 596 2 780 998 1 137 761 254 766 173 1 635 743 815 166 668 276 646 859 509 650 903

† † †

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 18 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

18 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Columbia County † Arlington town † Arlington village † Caledonia town Lake Wisconsin CDP (pt.) Cambria village Columbus city (pt.) † Columbus town Courtland town Dekorra town † Lake Wisconsin CDP (pt.) Doylestown village Fall River village Fort Winnebago town † Fountain Prairie town Friesland village Hampden town Leeds town Lewiston town † Lodi city † Lodi town † Lake Wisconsin CDP (pt.) Lowville town Marcellon town Newport town † Otsego town Pacific town Pardeeville village Portage city † Poynette village † Randolph town Randolph village (pt.) † Rio village Scott town Springvale town West Point town Lake Wisconsin CDP (pt.) Wisconsin Dells city (pt.) † Wyocena town Wyocena village Crawford County † Bell Center village Bridgeport town † Clayton town De Soto village (pt.) Eastman town Eastman village Ferryville village Freeman town Gays Mills village Haney town

1990 45 088 748 440 1 031 32 768 4 083 838 528 1 829 578 316 842 825 743 271 566 809 1 123 2 093 1 913 1 031 938 880 536 647 1 944 1 630 8 640 1 662 676 502 768 639 466 1 285 537 2 261 1 228 620 15 940 127 753 794 73 745 369 154 692 578 384 153 532 217 5 659 927 453 873 564 161 738 399 595 367 1 1 1 085 964 349 248 365 1 248 2 079 667 446 1 850 406

1980 43 222 752 440 923 … 680 4 049 704 601 1 914 … 294 850 860 771 267 650 845 1 122 1 959 1 855 … 976 809 657 767 1 215 1 594 7 896 1 447 700 485 785 602 521 1 122 … 2 337 1 225 548 16 556 124 708 927 66 840 371 227 796 627 404 174 568 223 5 859 694 472 832 622 175 822 445 580 323 1 1 1 545 918 203 116 406 1 145 1 965 637 387 1 723 250

1970 40 150 701 379 855 … 631 3 789 715 628 1 763 … 265 633 673 816 301 704 869 984 1 831 1 357 … 819 759 562 754 756 1 507 7 821 1 118 729 493 792 585 504 873 … 2 277 1 098 809 15 252 110 416 916 79 781 319 183 677 623 387 149 601 181 5 540 591 478 858 514 179 843 390 437 290 272 1 926 972 896 379 1 114 1 608 675 261 1 491 217

1990 19 258 262 171 626 70 315 1 729 241 191 1 091 523 120 341 287 297 111 199 303 522 833 898 582 338 316 298 263 847 686 3 556 671 230 188 336 235 181 777 397 1 037 557 205 7 315 45 294 354 40 407 137 95 373 267 155 96 233 96 2 393 700 185 397 238 70 343 150 247 147 851 817 522 418 136 469 800 234 176 604 132

1980 17 794 256 167 612 … 297 1 596 235 190 1 013 … 119 323 302 305 108 200 298 507 713 806 … 311 294 276 257 536 691 3 327 567 234 179 336 215 177 627 … 1 016 515 189 6 770 54 242 330 42 369 139 119 358 269 149 102 209 94 2 297 466 189 329 259 71 297 141 245 126 275 808 457 347 132 419 723 225 155 525 90

1970 14 367 196 140 475 … 253 1 323 200 189 890 … 89 215 229 266 109 182 270 385 602 645 … 226 239 215 237 269 549 2 831 352 203 170 282 171 155 412 … 861 412 125 5 207 38 125 299 32 229 111 76 277 215 124 74 191 71 1 894 230 136 258 221 69 260 103 174 92 442 726 341 227 95 324 542 193 90 363 69

Square kilometers 2 061.1 92.3 .7 164.8 7.2 2.1 9.6 83.3 91.7 116.6 17.1 10.4 3.5 88.0 91.1 2.6 92.4 92.7 142.4 3.1 75.4 11.8 92.9 92.7 57.2 80.2 55.9 5.9 23.2 6.2 91.6 .6 2.8 92.8 106.3 84.1 18.3 5.7 96.0 4.0 1 552.2 14.4 61.9 179.3 .9 188.1 9.3 6.4 201.3 12.0 84.7 3.6 124.4 3.5 13.2 95.8 92.4 169.7 9.2 16.0 140.3 113.4 12.4 3 207.5 93.9 2.8 93.2 44.8 1.7 29.9 86.0 2.0 90.5 1.3

Square miles 795.8 35.6 .3 63.6 2.8 .8 3.7 32.2 35.4 45.0 6.6 4.0 1.3 34.0 35.2 1.0 35.7 35.8 55.0 1.2 29.1 4.6 35.9 35.8 22.1 31.0 21.6 2.3 9.0 2.4 35.4 .2 1.1 35.8 41.1 32.5 7.0 2.2 37.1 1.5 599.3 5.6 23.9 69.2 .3 72.6 3.6 2.5 77.7 4.6 32.7 1.4 48.0 1.4 5.1 37.0 35.7 65.5 3.6 6.2 54.2 43.8 4.8 1 238.4 36.2 1.1 36.0 17.3 .6 11.6 33.2 .8 35.0 .5

Square kilometers 2 004.3 92.2 .7 154.2 1.5 2.0 9.5 83.3 91.3 106.6 9.4 10.2 3.4 86.7 90.3 2.6 92.4 92.0 139.9 3.1 70.7 7.2 89.1 91.9 55.7 79.0 52.7 5.2 21.3 6.2 91.5 .6 2.8 92.8 106.2 74.9 13.8 5.4 93.9 3.7 1 483.4 14.3 54.2 179.3 .8 185.1 9.3 6.4 176.6 11.9 84.6 3.6 121.8 3.5 11.3 88.6 92.4 151.8 9.2 16.0 140.3 109.9 12.4 3 113.6 92.3 2.4 92.9 44.8 1.7 26.5 86.0 2.0 90.5 1.3

Square miles 773.9 35.6 .3 59.5 .6 .8 3.7 32.2 35.3 41.2 3.6 3.9 1.3 33.5 34.9 1.0 35.7 35.5 54.0 1.2 27.3 2.8 34.4 35.5 21.5 30.5 20.3 2.0 8.2 2.4 35.3 .2 1.1 35.8 41.0 28.9 5.3 2.1 36.3 1.4 572.8 5.5 20.9 69.2 .3 71.5 3.6 2.5 68.2 4.6 32.7 1.4 47.0 1.4 4.4 34.2 35.7 58.6 3.6 6.2 54.2 42.4 4.8 1 202.2 35.6 .9 35.9 17.3 .6 10.2 33.2 .8 35.0 .5

Square kilometer 22.5 8.1 628.6 6.7 21.3 384.0 429.8 10.1 5.8 17.2 61.5 31.0 247.6 9.5 8.2 104.2 6.1 8.8 8.0 675.2 27.1 143.2 10.5 9.6 9.6 8.2 36.9 313.5 405.6 268.1 7.4 836.7 274.3 6.9 4.4 17.2 38.9 418.7 13.1 167.6 10.7 8.9 13.9 4.4 91.3 4.0 39.7 24.1 3.9 48.6 4.5 42.5 4.4 62.0 500.8 10.5 4.9 5.8 61.3 10.1 5.3 3.6 48.0 117.9 21.3 562.1 13.4 8.1 734.1 78.5 7.8 223.0 20.4 312.3

Square mile 58.3 21.0 466.7 17.3 53.3 960.0 103.5 26.0 15.0 44.4 160.6 81.0 647.7 24.6 21.3 271.0 15.9 22.8 20.8 744.2 70.1 368.2 27.3 24.8 24.9 21.2 95.8 815.0 053.7 692.5 19.2 510.0 698.2 17.8 11.4 44.5 101.3 076.7 33.8 442.9 27.8 23.1 36.0 11.5 243.3 10.4 102.5 61.6 10.1 125.7 11.7 109.3 11.3 155.0 1 286.1 27.1 12.7 14.9 156.7 26.0 13.6 9.4 124.0 305.3 55.2 1 498.9 34.8 21.1 2 080.0 203.8 20.1 557.5 52.9 812.0

Square kilometer 9.6 2.8 244.3 4.1 46.7 157.5 182.0 2.9 2.1 10.2 55.6 11.8 100.3 3.3 3.3 42.7 2.2 3.3 3.7 268.7 12.7 80.8 3.8 3.4 5.4 3.3 16.1 131.9 166.9 108.2 2.5 313.3 120.0 2.5 1.7 10.4 28.8 192.0 5.9 55.4 4.9 3.1 5.4 2.0 50.0 2.2 14.7 14.8 2.1 22.4 1.8 26.7 1.9 27.4 211.8 7.9 2.0 2.6 25.9 4.4 2.4 1.4 19.9 47.5 8.9 217.5 4.5 3.0 275.9 30.2 2.7 88.0 6.7 101.5

Square mile 24.9 7.4 570.0 10.5 116.7 393.8 467.3 7.5 5.4 26.5 145.3 30.8 262.3 8.6 8.5 111.0 5.6 8.5 9.7 694.2 32.9 207.9 9.8 8.9 13.9 8.6 41.7 343.0 433.7 279.6 6.5 940.0 305.5 6.6 4.4 26.9 74.9 493.8 15.3 146.4 12.8 8.2 14.1 5.1 133.3 5.7 38.1 38.0 5.5 58.0 4.7 68.6 5.0 68.6 543.9 20.5 5.2 6.8 66.1 11.3 6.3 3.5 51.5 123.0 22.9 580.0 11.6 7.9 781.7 78.4 7.0 220.0 17.3 264.0

1

1

1

1 2

1

†

Lynxville village Marietta town Mount Sterling village Prairie du Chien city † Prairie du Chien town † Scott town Seneca town Soldiers Grove village Steuben village † Utica town Wauzeka town Wauzeka village Dane County † Albion town Belleville village (pt.) † Berry town Black Earth town † Black Earth village † Blooming Grove town † Blue Mounds town † Blue Mounds village † Bristol town † Brooklyn village (pt.)

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 19 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 19

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Dane County † Con. Burke town † Cambridge village (pt.) † Christiana town † Cottage Grove town Cottage Grove village Cross Plains town † Cross Plains village † Dane town † Dane village † Deerfield town † Deerfield village † De Forest village † Dunkirk town † Dunn town † Fitchburg city † McFarland village † Madison city † Madison town † Maple Bluff village Marshall village † Mazomanie town Mazomanie village † Medina town Middleton city † Middleton town † Monona city † Montrose town † Mount Horeb village † Oregon town † Oregon village † Perry town Pleasant Springs town Primrose town Rockdale village Roxbury town Rutland town Shorewood Hills village Springdale town † Springfield town Stoughton city † Sun Prairie city † Sun Prairie town † Vermont town Verona city † Verona town † Vienna town † Waunakee village † Westport town † Windsor town † Windsor CDP York town Dodge County † Ashippun town Beaver Dam city † Beaver Dam town † Brownsville village † Burnett town Calamus town Chester town † Clyman town Clyman village Columbus city (pt.) † Elba town † Emmet town † Fox Lake city † Fox Lake town † Hartford city (pt.) † Herman town Horicon city † Hubbard town Hustisford town † Hustisford village † †

1990 3 004 883 1 182 3 525 1 131 1 320 2 098 921 621 1 181 1 617 4 882 2 121 5 274 15 648 5 232 191 262 6 442 1 352 2 329 982 1 377 1 124 13 289 3 628 8 637 1 032 4 182 2 428 4 519 646 2 660 595 235 1 536 1 584 1 680 1 258 2 650 8 786 15 333 1 839 678 5 374 2 137 1 351 5 897 2 732 4 620 2 182 649 76 1 14 3 559 783 196 097 415 915 1 009 1 393 742 370 10 964 1 014 1 269 1 938 9 1 127 3 873 1 390 1 209 979

1980 2 967 785 1 209 2 952 888 1 003 2 156 945 518 1 111 1 466 3 367 2 098 4 966 … 3 783 170 616 6 162 1 351 2 363 1 007 1 248 1 019 r11 851 r2 595 8 809 1 024 3 251 1 798 3 876 632 2 529 654 200 1 491 1 393 1 837 1 279 2 379 7 589 12 931 1 990 634 3 336 2 259 1 365 3 866 2 748 3 812 … 714 75 1 14 3 064 929 149 030 433 917 1 077 981 815 317 … 1 1 1 1 1 3 1 1 028 089 373 674 … 131 584 508 262 874

1970 1 742 672 1 261 1 818 478 995 1 478 894 486 855 1 067 1 911 2 139 3 391 … 2 386 171 809 5 746 1 974 1 043 789 1 217 961 8 246 2 028 10 420 962 2 402 1 115 2 553 664 2 057 664 172 1 427 1 197 2 206 1 132 1 947 6 096 9 935 1 490 673 2 334 2 235 1 177 2 181 2 411 2 415 … 778 69 1 14 1 004 500 265 933 374 875 934 1 060 889 328 …

1990 1 043 352 414 1 156 396 459 780 297 212 382 599 1 757 761 2 122 6 685 1 915 80 047 3 386 564 928 409 528 386 5 895 1 157 3 822 378 1 638 794 1 672 224 1 057 212 92 545 546 664 452 897 3 404 5 718 639 260 1 950 671 426 2 020 1 029 1 580 781 223 28 720 622 5 997 1 231 158 333 370 306 243 146 5 338 329 549 876 4 352 1 478 662 457 386

1980 956 320 401 930 289 323 683 270 178 356 512 1 150 700 1 972 … 1 392 68 996 3 270 549 918 365 484 339 r5 218 r796 3 755 351 1 270 561 1 412 209 949 208 80 472 484 647 403 718 2 852 4 579 598 236 1 212 642 400 1 279 912 1 255 … 220 26 985 580 5 607 1 113 149 321 350 313 239 129 … 335 332 569 894 … 336 1 325 654 443 362

1970 539 226 354 491 149 233 397 201 137 238 332 578 611 234 … 732 102 378 668 320 247 391 288 964 461 363 269 839 290 754

Square kilometers 63.2 1.3 92.4 89.7 2.4 92.1 2.5 91.3 2.6 89.3 2.9 6.3 85.9 89.2 90.6 8.0 191.1 9.8 1.8 4.1 81.2 2.7 88.1 16.7 58.3 8.8 89.8 5.8 84.6 6.9 93.6 92.5 92.8 .6 93.0 91.9 2.1 92.7 94.3 8.1 18.2 81.9 92.7 5.1 84.1 92.9 6.7 80.3 85.6 11.8 93.0 2 349.3 92.5 15.8 97.1 .6 94.4 94.7 90.3 91.8 .6 .1 91.9 83.3 3.9 99.0 1.4 94.3 8.5 86.5 91.0 2.0

Square miles 24.4 .5 35.7 34.6 .9 35.6 1.0 35.2 1.0 34.5 1.1 2.4 33.2 34.5 35.0 3.1 73.8 3.8 .7 1.6 31.3 1.0 34.0 6.5 22.5 3.4 34.7 2.2 32.7 2.7 36.1 35.7 35.8 .2 35.9 35.5 .8 35.8 36.4 3.1 7.0 31.6 35.8 2.0 32.5 35.9 2.6 31.0 33.1 4.5 35.9 907.1 35.7 6.1 37.5 .2 36.5 36.6 34.9 35.4 .2 – 35.5 32.1 1.5 38.2 .5 36.4 3.3 33.4 35.1 .8

Square kilometers 63.2 1.3 92.0 89.7 2.4 92.0 2.5 91.3 2.6 88.9 2.9 6.2 84.8 74.3 90.5 8.0 149.6 8.5 1.8 4.0 79.0 2.7 87.3 16.7 58.3 8.6 89.2 5.8 84.3 6.9 93.6 86.8 92.8 .6 89.6 91.5 2.1 92.7 93.9 7.8 18.2 81.9 92.7 5.1 84.0 92.9 6.7 67.3 85.3 11.7 92.9 2 285.4 92.3 12.3 90.0 .6 93.7 93.5 87.1 91.7 .6 .1 91.8 83.3 3.6 83.6 1.4 94.3 8.4 82.3 87.7 1.8

Square miles 24.4 .5 35.5 34.6 .9 35.5 1.0 35.2 1.0 34.3 1.1 2.4 32.7 28.7 34.9 3.1 57.8 3.3 .7 1.5 30.5 1.0 33.7 6.4 22.5 3.3 34.4 2.2 32.5 2.7 36.1 33.5 35.8 .2 34.6 35.3 .8 35.8 36.2 3.0 7.0 31.6 35.8 2.0 32.4 35.9 2.6 26.0 32.9 4.5 35.9 882.4 35.6 4.8 34.7 .2 36.2 36.1 33.6 35.4 .2 – 35.4 32.1 1.4 32.3 .5 36.4 3.3 31.8 33.9 .7

Square kilometer 47.5 679.2 12.8 39.3 471.3 14.3 839.2 10.1 238.8 13.3 557.6 787.4 25.0 71.0 172.9 654.0 1 278.5 757.9 751.1 582.3 12.4 510.0 12.9 795.7 62.2 1 004.3 11.6 721.0 28.8 654.9 6.9 30.6 6.4 391.7 17.1 17.3 800.0 13.6 28.2 1 126.4 842.5 22.5 7.3 1 053.7 25.4 14.5 880.1 40.6 54.2 186.5 7.0 33.5 19.3 1 154.1 34.4 691.7 9.8 10.8 16.0 8.1 616.7 100.0 10.5 12.2 352.5 23.2 6.4 12.0 461.1 16.9 13.8 543.9

Square mile 123.1 1 766.0 33.3 101.9 1 256.7 37.2 2 098.0 26.2 621.0 34.4 1 470.0 2 034.2 64.9 183.8 448.4 1 687.7 3 309.0 1 952.1 1 931.4 1 552.7 32.2 1 377.0 33.4 2 076.4 161.2 2 617.3 30.0 1 900.9 74.7 1 673.7 17.9 79.4 16.6 1 175.0 44.4 44.9 2 100.0 35.1 73.2 2 928.7 2 190.4 58.2 18.9 2 687.0 66.0 37.6 2 268.1 105.1 140.4 484.9 18.1 86.8 50.1 2 957.5 89.3 2 075.0 25.3 28.0 41.5 21.0 1 850.0 – 27.2 31.6 906.4 60.0 18.0 31.0 1 173.6 43.7 35.7 1 398.6

Square kilometer 16.5 270.8 4.5 12.9 165.0 5.0 312.0 3.3 81.5 4.3 206.6 283.4 9.0 28.6 73.9 239.4 535.1 398.4 313.3 232.0 5.2 195.6 4.4 353.0 19.8 444.4 4.2 282.4 9.4 242.3 2.4 12.2 2.3 153.3 6.1 6.0 316.2 4.9 9.6 436.4 314.2 7.8 2.8 382.4 8.0 4.6 301.5 15.3 18.5 66.8 2.4 12.6 6.7 487.6 13.7 263.3 3.6 4.0 3.5 2.6 243.3 50.0 3.7 3.9 152.5 10.5 2.9 3.7 176.0 8.0 5.2 214.4

Square mile 42.7 704.0 11.7 33.4 440.0 12.9 780.0 8.4 212.0 11.1 544.5 732.1 23.3 73.9 191.5 617.7 1 384.9 1 026.1 805.7 618.7 13.4 528.0 11.5 921.1 51.4 1 158.2 11.0 744.5 24.4 619.3 6.2 31.6 5.9 460.0 15.8 15.5 830.0 12.6 24.8 1 134.7 816.9 20.2 7.3 975.0 20.7 11.9 776.9 39.6 48.0 173.6 6.2 32.5 17.5 1 249.4 35.5 790.0 9.2 10.2 9.1 6.9 730.0 – 9.5 10.2 392.1 27.1 8.0 9.7 447.9 20.8 13.5 551.4

1 56 2

2 3

202 709 162 68 356 337 626 317 484 2 035 2 842 397 174 717 452 279 592 700 667 … 192 21 786 416 4 846 599 124 263 260 264 260 105 … 278 281 473 803 … 303 1 078 508 323 299

960 1 050 1 242 1 501 … 1 215 3 356 1 301 1 034 789

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 20 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

20 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Dodge County † Con. Iron Ridge village Juneau city † Kekoskee village † Lebanon town Leroy town Lomira town † Lomira village † Lowell town Lowell village Mayville city † Neosho village Oak Grove town † Portland town Randolph village (pt.) Reeseville village Rubicon town † Shields town Theresa town † Theresa village † Trenton town Watertown city (pt.) Waupun city (pt.) † Westford town † Williamstown town Door County † Baileys Harbor town Brussels town Claybanks town Egg Harbor town † Egg Harbor village † Ephraim village Forestville town † Forestville village † Gardner town Gibraltar town Jacksonport town Liberty Grove town Nasewaupee town Sevastopol town Sister Bay village Sturgeon Bay city Sturgeon Bay town Union town Washington town

1990 887 2 157 188 1 630 1 025 1 280 1 542 1 146 300 4 374 658 1 200 994 1 227 673 1 709 500 1 083 771 1 299 6 754 5 490 1 248 722 25 690 780 1 042 379 1 019 183 261 999 470 1 025 939 689 1 506 1 798 2 552 675 9 176 853 721 623 41 758 929 525 527 246 222 553 1 049 207 900 569 667 993 265 326 516 619 575 009 134 911 481 535

1980 766 2 045 224 1 518 1 110 1 391 1 446 1 205 326 4 333 575 1 333 976 1 206 649 1 759 584 1 152 766 1 319 5 911 5 439 1 203 657 25 029 799 1 097 409 825 238 319 1 035 455 1 084 742 707 1 313 1 899 2 520 564 8 847 863 755 558 44 421 916 501 544 263 258 627 902 190 780 572 685 938 253 496 569 553 590 057 571 065 580 511

1970 480 2 043 233 1 278 1 146 1 247 1 084 1 254 322 4 139 400 1 326 915 1 089 566 1 564 602 1 174 611 1 406 4 373 5 481 1 006 659 20 106 615 1 050 345 693 184 236 902 349 875 590 622 1 174 1 470 2 035 483 6 776 641 620 446 44 657 898 333 497 255 233 419 677 157 523 514 608 624 210 1 523 455 471 598 905 32 237 1 743 476 301

1990 317 699 68 562 347 428 563 426 122 1 690 226 468 371 484 267 534 179 336 291 427 2 459 1 771 606 237 18 037 954 398 231 690 451 705 363 201 1 007 1 049 693 1 750 1 263 1 427 859 4 049 546 593 808 20 610 347 322 403 139 269 804 422 287 717 255 269 498 102 470 203 587 384 551 11 684 769 195 933

1980 269 660 76 511 342 415 486 411 142 1 655 195 493 352 456 259 499 180 329 277 402 2 095 1 634 584 212 15 324 857 373 190 498 361 506 354 172 912 721 556 1 463 1 202 1 308 493 3 630 525 575 628 20 141 323 297 365 125 249 689 327 253 646 244 267 450 88 496 210 486 361 536 11 988 723 202 816

1970 154 544 72 336 310 327 318 341 101 1 364 126 444 299 368 202 368 171 306 199 409 1 407 1 513 450 174 10 779 475 313 149 366 174 338 279 117 561 470 435 1 136 857 1 006 292 2 507 474 377 453 16 882 239 262 286 100 175 373 221 167 454 190 206 343 68 382 142 404 340 432 10 997 513 129 459

Square kilometers 1.8 3.6 .6 93.3 96.8 90.8 3.7 134.5 2.7 7.2 1.6 89.3 92.4 1.7 1.5 90.5 69.8 92.6 1.6 140.9 9.5 4.7 90.5 87.8 6 138.1 178.1 93.6 122.0 266.8 4.8 10.1 92.0 1.3 294.1 392.3 151.0 493.5 184.3 233.3 7.9 29.2 91.2 93.0 322.4 3 833.3 101.3 125.1 144.8 119.7 364.7 407.7 119.6 202.2 37.2 103.3 83.1 168.3 5.3 92.0 30.9 218.9 6.0 382.2 143.6 279.1 3.2 365.5

Square miles .7 1.4 .2 36.0 37.4 35.1 1.4 51.9 1.0 2.8 .6 34.5 35.7 .7 .6 34.9 27.0 35.8 .6 54.4 3.7 1.8 35.0 33.9 2 369.9 68.8 36.1 47.1 103.0 1.8 3.9 35.5 .5 113.5 151.5 58.3 190.5 71.1 90.1 3.0 11.3 35.2 35.9 124.5 1 480.0 39.1 48.3 55.9 46.2 140.8 157.4 46.2 78.1 14.3 39.9 32.1 65.0 2.1 35.5 11.9 84.5 2.3 147.6 55.4 107.8 1.2 141.1

Square kilometers 1.8 3.6 .6 92.8 94.7 90.8 3.7 133.3 2.6 7.2 1.5 89.0 91.5 1.7 1.5 89.4 68.7 91.4 1.6 139.5 9.1 4.7 78.5 86.1 1 250.3 76.5 93.6 38.6 94.9 4.8 10.1 91.7 1.3 88.8 87.7 75.2 138.8 111.6 134.3 6.7 24.8 50.1 54.8 66.0 3 391.0 101.2 123.1 144.3 119.7 363.2 393.1 118.1 198.1 32.8 103.3 83.1 165.6 5.3 92.0 30.9 215.0 4.1 379.7 95.7 275.1 3.2 344.4

Square miles .7 1.4 .2 35.8 36.6 35.1 1.4 51.5 1.0 2.8 .6 34.4 35.3 .7 .6 34.5 26.5 35.3 .6 53.9 3.5 1.8 30.3 33.2 482.7 29.5 36.1 14.9 36.7 1.8 3.9 35.4 .5 34.3 33.9 29.0 53.6 43.1 51.9 2.6 9.6 19.4 21.2 25.5 1 309.3 39.1 47.5 55.7 46.2 140.2 151.8 45.6 76.5 12.7 39.9 32.1 63.9 2.0 35.5 11.9 83.0 1.6 146.6 36.9 106.2 1.2 133.0

Square kilometer 492.8 599.2 313.3 17.6 10.8 14.1 416.8 8.6 115.4 607.5 438.7 13.5 10.9 721.8 448.7 19.1 7.3 11.8 481.9 9.3 742.2 1 168.1 15.9 8.4 20.5 10.2 11.1 9.8 10.7 38.1 25.8 10.9 361.5 11.5 10.7 9.2 10.9 16.1 19.0 100.7 370.0 17.0 13.2 9.4 12.3 9.2 4.3 3.7 2.1 .6 1.4 8.9 1.0 27.4 5.5 8.0 6.0 50.0 14.4 16.7 2.9 140.2 2.7 283.5 6.9 150.3 1.6

Square mile 1 267.1 1 540.7 940.0 45.5 28.0 36.5 1 101.4 22.3 300.0 1 562.1 1 096.7 34.9 28.2 1 752.9 1 121.7 49.5 18.9 30.7 1 285.0 24.1 1 929.7 3 050.0 41.2 21.7 53.2 26.4 28.9 25.4 27.8 101.7 66.9 28.2 940.0 29.9 27.7 23.8 28.1 41.7 49.2 259.6 955.8 44.0 34.0 24.4 31.9 23.8 11.1 9.5 5.3 1.6 3.6 23.0 2.7 70.9 14.3 20.8 15.5 132.5 37.4 43.4 7.5 359.4 6.9 735.3 18.0 400.8 4.0

Square kilometer 176.1 194.2 113.3 6.1 3.7 4.7 152.2 3.2 46.9 234.7 150.7 5.3 4.1 284.7 178.0 6.0 2.6 3.7 181.9 3.1 270.2 376.8 7.7 2.8 14.4 12.5 4.3 6.0 7.3 94.0 69.8 4.0 154.6 11.3 12.0 9.2 12.6 11.3 10.6 128.2 163.3 10.9 10.8 12.2 6.1 3.4 2.6 2.8 1.2 .7 2.0 3.6 1.4 21.9 2.5 3.2 3.0 19.2 5.1 6.6 2.7 93.7 1.5 122.1 2.8 60.9 2.7

Square mile 452.9 499.3 340.0 15.7 9.5 12.2 402.1 8.3 122.0 603.6 376.7 13.6 10.5 691.4 445.0 15.5 6.8 9.5 485.0 7.9 702.6 983.9 20.0 7.1 37.4 32.3 11.0 15.5 18.8 250.6 180.8 10.3 402.0 29.4 30.9 23.9 32.6 29.3 27.5 330.4 421.8 28.1 28.0 31.7 15.7 8.9 6.8 7.2 3.0 1.9 5.3 9.3 3.8 56.5 6.4 8.4 7.8 51.0 13.2 17.1 7.1 240.0 3.8 316.6 7.2 162.5 7.0

†

† †

† † † † †

Douglas County † Amnicon town Bennett town † Brule town Cloverland town Dairyland town Gordon town Hawthorne town Highland town Lake Nebagamon village Lakeside town Maple town Oakland town Oliver village Parkland town Poplar village Solon Springs town Solon Springs village Summit town Superior city Superior town Superior village Wascott town

†

1

1

1 27 1

1 29 2

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 21 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 21

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Dunn County † Boyceville village Colfax town Colfax village Downing village Dunn town Eau Galle town Elk Mound town Elk Mound village Grant town Hay River town Knapp village Lucas town Menomonie city Menomonie town Tainter Lake CDP New Haven town Otter Creek town Peru town Red Cedar town Tainter Lake CDP Ridgeland village Rock Creek town Sand Creek town Sheridan town Sherman town Tainter Lake CDP Spring Brook town Stanton town Tainter town Tainter Lake CDP Tiffany town Weston town Wheeler village Wilson town

1990 35 909 913 691 1 110 250 1 315 854 749 765 412 510 419 644 13 547 2 732 34 658 339 203 1 417 113 246 696 568 468 725 83 1 293 637 1 756 1 486 594 560 348 490 85 5 1 1 1 183 889 510 440 506 692 767 55 180 312 504 1 034 1 002 906 459 2 076 2 757 1 557 2 446 6 226 477 4 590 1 036 407 222 112 2 097 337 205 174 90 1 1 1 1 1 1 1 083 145 598 790 872 634 444 732 037 610

1980 34 314 862 660 1 149 242 1 294 944 668 737 443 433 419 699 12 769 2 453 … 707 337 194 1 278 … 300 668 575 476 666 … 1 293 553 1 507 … 639 654 231 464 78 4 1 1 1 805 393 560 206 411 798 725 49 852 278 577 1 148 1 012 969 497 1 908 2 824 … 2 689 6 489 469 4 172 1 050 369 192 111 1 809 272 199 170 88 1 1 r1 1 1 1 1 964 176 596 803 862 681 609 740 130 534

1970 28 991 725 499 1 026 215 969 892 455 471 400 419 369 577 11 112 1 820 … 645 224 245 935 … 266 632 579 426 580 … 1 168 527 1 000 … 485 688 212 430 67 219 2 842 1 242 935 1 092 773 672 43 662 238 562 825 962 761 526 223 362 … 355 757 430

1990 13 252 408 239 470 92 515 326 269 267 153 186 182 231 4 539 972 11 259 169 81 487 43 144 254 257 172 258 37 461 221 877 778 205 208 138 212 32 741 2 397 657 634 552 253 275 21 316 144 222 415 325 357 168 705 1 025 607 891 2 193 212 3 775 466 333 344 281 1 538 316 274 223 34 548 349 543 663 332 527 734 594 327 227

1980 11 886 370 227 449 93 464 302 223 266 148 174 170 240 3 982 831 … 246 124 71 429 … 150 226 226 159 228 … 427 186 770 … 208 217 105 175 28 973 1 677 641 590 477 246 249 18 666 117 224 422 314 344 166 605 982 … 907 2 158 188 3 341 417 287 288 250 1 417 250 261 171 31 739 341 503 r606 309 500 695 559 312 189

1970 8 825 274 164 359 78 298 269 134 145 128 136 129 169 2 980 505 … 216 86 66 283 … 114 177 193 141 172 … 323 168 538 … 162 194 79 145 21 209 894 507 448 310 221 182 13 996 96 196 285 236 258 155 345 701 … 583 1 657 139 2 118 308 113 208 146 928 153 146 116 25 881 288 390 442 289 344 582 444 257 99

Square kilometers 2 237.7 10.3 89.5 3.7 7.7 147.8 124.2 87.3 5.9 96.7 93.5 4.1 92.6 33.7 109.0 .7 94.3 95.6 50.8 109.4 .6 1.1 81.8 93.6 93.5 91.6 .9 160.9 87.7 92.4 53.4 77.3 107.5 2.1 92.0 1 671.3 11.1 5.0 270.3 96.6 93.1 93.1 67.5 89.4 3.8 3.9 152.3 119.0 92.1 140.4 84.0 8.1 77.2 148.8 123.6 1 288.6 99.4 111.2 233.2 91.1 408.4 140.7 92.8 111.7 1 983.6 94.0 93.0 92.9 1.6 94.1 114.2 2.4 93.8 .9

Square miles 864.0 4.0 34.6 1.4 3.0 57.1 47.9 33.7 2.3 37.3 36.1 1.6 35.7 13.0 42.1 .3 36.4 36.9 19.6 42.2 .2 .4 31.6 36.2 36.1 35.4 .3 62.1 33.9 35.7 20.6 29.8 41.5 .8 35.5 645.3 4.3 1.9 104.4 37.3 35.9 35.9 26.1 34.5 1.5 1.5 58.8 46.0 35.6 54.2 32.4 3.1 29.8 57.4 47.7 497.5 38.4 42.9 90.0 35.2 157.7 54.3 35.8 43.1 765.9 36.3 35.9 35.9 .6 36.3 44.1 .9 36.2 .3

Square kilometers 2 206.9 10.3 88.7 3.6 7.7 144.3 122.7 87.3 5.9 95.5 93.5 4.1 92.6 29.2 108.5 .7 94.3 95.6 48.5 107.0 .5 1.1 79.8 92.6 93.5 91.4 .6 157.4 87.7 85.5 46.5 77.3 107.5 2.1 92.0 1 651.5 10.6 5.0 265.5 94.6 93.1 93.1 62.4 89.4 3.8 3.8 151.1 118.5 92.1 140.4 81.2 6.3 75.9 147.5 123.5 1 264.1 98.3 109.6 231.7 88.1 398.0 139.5 88.0 110.9 1 872.5 94.0 92.8 91.4 1.6 94.1 78.2 2.4 93.7 .9

Square miles 852.1 4.0 34.2 1.4 3.0 55.7 47.4 33.7 2.3 36.9 36.1 1.6 35.7 11.3 41.9 .3 36.4 36.9 18.7 41.3 .2 .4 30.8 35.8 36.1 35.3 .2 60.8 33.9 33.0 17.9 29.8 41.5 .8 35.5 637.7 4.1 1.9 102.5 36.5 35.9 35.9 24.1 34.5 1.5 1.5 58.3 45.8 35.6 54.2 31.3 2.4 29.3 57.0 47.7 488.1 38.0 42.3 89.5 34.0 153.7 53.9 34.0 42.8 723.0 36.3 35.8 35.3 .6 36.3 30.2 .9 36.2 .3

Square kilometer 16.3 88.6 7.8 308.3 32.5 9.1 7.0 8.6 129.7 4.3 5.5 102.2 7.0 463.9 25.2 48.6 7.0 3.5 4.2 13.2 226.0 223.6 8.7 6.1 5.0 7.9 138.3 8.2 7.3 20.5 32.0 7.7 5.2 165.7 5.3 51.6 555.6 302.0 5.4 15.9 7.4 8.2 884.3 3.5 132.6 272.1 6.6 7.6 5.0 14.8 34.0 247.1 32.2 42.2 3.9 3.6 10.5 3.7 1.0 1.3 5.3 2.4 2.3 1.6 48.1 12.2 17.2 19.6 545.0 17.4 18.5 721.7 11.1 677.8

Square mile 42.1 228.3 20.2 792.9 83.3 23.6 18.0 22.2 332.6 11.2 14.1 261.9 18.0 1 198.8 65.2 113.3 18.1 9.2 10.9 34.3 565.0 615.0 22.6 15.9 13.0 20.5 415.0 21.3 18.8 53.2 83.0 19.9 13.5 435.0 13.8 133.6 1 436.3 794.7 14.0 41.3 19.3 21.4 2 289.6 9.0 336.0 689.3 17.2 19.8 12.9 38.3 88.1 648.8 83.5 109.2 10.0 9.4 27.3 9.6 2.5 3.3 13.6 6.3 6.0 4.1 124.6 31.5 44.6 50.7 1 453.3 45.0 47.8 1 924.4 28.6 2 033.3

Square kilometer 6.0 39.6 2.7 130.6 11.9 3.6 2.7 3.1 45.3 1.6 2.0 44.4 2.5 155.4 9.0 15.7 2.7 1.8 1.7 4.6 86.0 130.9 3.2 2.8 1.8 2.8 61.7 2.9 2.5 10.3 16.7 2.7 1.9 65.7 2.3 19.8 226.1 131.4 2.4 5.8 2.7 3.0 341.6 1.6 58.4 109.2 2.2 3.0 1.8 5.0 12.6 96.3 11.7 14.9 1.7 3.0 4.7 3.0 1.5 3.2 3.9 2.3 3.1 2.0 18.5 3.7 5.9 7.3 207.5 5.6 9.4 247.5 3.5 252.2

Square mile 15.6 102.0 7.0 335.7 30.7 9.2 6.9 8.0 116.1 4.1 5.2 113.8 6.5 401.7 23.2 36.7 7.1 4.6 4.3 11.8 215.0 360.0 8.2 7.2 4.8 7.3 185.0 7.6 6.5 26.6 43.5 6.9 5.0 172.5 6.0 51.3 584.6 345.8 6.2 15.1 7.0 7.7 884.5 4.2 148.0 276.7 5.6 7.8 4.7 13.0 32.7 252.9 30.4 38.5 4.4 7.7 12.3 7.9 3.8 8.3 10.0 5.9 8.1 5.2 47.8 9.6 15.2 18.8 553.3 14.5 24.3 660.0 9.0 756.7

† † (pt.)

† (pt.)

(pt.)

(pt.)

Eau Claire County † Altoona city † Augusta city Bridge Creek town Brunswick town † Clear Creek town Drammen town Eau Claire city (pt.) † Fairchild town Fairchild village Fall Creek village Lincoln town Ludington town Otter Creek town Pleasant Valley town Seymour town † Seymour CDP Union town † Washington town † Wilson town Florence County Aurora town Commonwealth town Fence town Fern town Florence town Homestead town Long Lake town Tipler town Fond du Lac County † Alto town Ashford town Auburn town Brandon village † Byron town Calumet town Campbellsport village Eden town Eden village

1 2 2 5

3 298 920 254 191 61 1 262 258 190 162 84 1 1 1 1 1 1 1 567 139 470 256 872 300 475 681 041 376

†

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 22 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

22 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Fond du Lac County † Con. Eldorado town Empire town Fairwater village Fond du Lac city † Fond du Lac town † Forest town Friendship town † Kewaskum village (pt.) † Lamartine town Marshfield town Metomen town Mount Calvary village North Fond du Lac village † Oakfield town Oakfield village Osceola town Ripon city † Ripon town † Rosendale town Rosendale village St. Cloud village Springvale town Taycheedah town Waupun city (pt.) † Waupun town † Forest County Alvin town Argonne town Armstrong Creek town Blackwell town Caswell town Crandon city Crandon town Freedom town Hiles town Laona town Lincoln town Nashville town Popple River town Ross town Wabeno town Grant County † Bagley village † Beetown town Bloomington town † Bloomington village † Blue River village † Boscobel city † Boscobel town † Cassville town Cassville village Castle Rock town Clifton town Cuba City city (pt.) † Dickeyville village † Ellenboro town Fennimore city † Fennimore town † Glen Haven town Harrison town Hazel Green town Hazel Green village (pt.) Hickory Grove town Jamestown town Lancaster city † Liberty town Lima town Little Grant town Livingston village (pt.) Marion town Millville town Montfort village (pt.)

1990 1 409 2 485 302 37 757 2 308 1 094 2 220 1 1 607 1 130 685 558 4 292 822 1 003 1 588 7 241 1 419 770 777 494 750 3 383 2 717 1 409 8 776 145 497 460 384 94 1 958 529 296 312 1 387 630 871 42 159 1 012 49 264 306 782 364 776 438 2 706 426 554 1 144 311 306 1 863 862 521 2 378 556 548 544 1 108 1 171 409 2 175 4 192 569 691 375 566 484 169 580

1980 1 502 2 359 310 35 863 3 001 1 098 2 321 r13 1 749 1 214 792 585 3 844 833 990 1 569 7 111 1 411 763 725 560 808 3 227 2 693 1 492 9 044 195 469 501 384 85 1 969 569 307 327 1 474 577 703 59 203 1 222 51 736 317 933 567 743 412 2 662 494 633 1 270 339 404 1 928 1 156 544 2 212 726 596 600 1 228 1 270 423 2 369 4 076 609 750 347 626 463 152 516

1970 1 302 1 730 373 35 515 3 896 1 106 2 350 (NA) 1 416 1 159 798 942 3 286 765 918 1 116 7 053 1 186 710 464 550 744 2 692 2 465 1 421 7 691 159 390 459 418 96 1 582 406 276 283 1 395 350 519 36 178 1 144 48 398 271 955 552 719 369 2 510 463 531 1 343 393 394 1 902 1 057 517 1 861 676 679 537 1 237 982 444 1 973 3 756 597 667 349 494 364 170 511

1990 467 831 118 176 876 363 891 1 543 402 243 184 651 262 356 836 804 508 276 271 190 267 180 057 499

1980 469 689 119 540 044 329 864 r4 533 384 245 180 380 258 338 811 623 463 254 241 190 256 061 012 438

1970 363 434 124 11 374 1 056 269 788 (NA) 370 313 223 155 983 197 274 600 2 162 373 208 152 146 219 786 821 356 4 583 188 153 276 98 84 606 187 240 357 534 430 672 76 123 559 14 451 120 261 235 263 140 900 157 156 503 98 118 601 240 138 689 192 210 133 235 305 120 502 1 301 184 195 96 194 112 61 206

Square kilometers 93.9 78.3 1.9 35.3 59.8 93.5 91.0 .2 94.7 89.1 90.2 2.6 4.3 92.8 2.4 94.2 10.6 83.2 92.4 2.7 2.4 93.3 93.5 3.4 91.0 2 710.4 300.4 280.5 126.0 171.9 124.1 16.0 92.7 93.5 365.1 278.6 163.0 187.4 130.7 100.0 280.5 3 065.1 1.8 125.4 103.5 3.4 1.9 4.8 21.2 94.2 2.8 92.7 92.6 2.5 2.2 93.6 3.8 90.1 91.6 93.6 91.3 3.0 94.2 84.7 7.0 94.5 94.7 93.3 2.1 92.7 56.3 1.3

Square miles 36.2 30.2 .7 13.6 23.1 36.1 35.1 .1 36.6 34.4 34.8 1.0 1.7 35.8 .9 36.4 4.1 32.1 35.7 1.0 .9 36.0 36.1 1.3 35.1 1 046.5 116.0 108.3 48.6 66.4 47.9 6.2 35.8 36.1 141.0 107.5 62.9 72.4 50.5 38.6 108.3 1 183.4 .7 48.4 40.0 1.3 .7 1.9 8.2 36.4 1.1 35.8 35.7 1.0 .9 36.2 1.5 34.8 35.4 36.1 35.3 1.1 36.4 32.7 2.7 36.5 36.6 36.0 .8 35.8 21.7 .5

Square kilometers 92.7 78.0 1.9 33.1 57.0 91.3 44.7 .2 94.5 88.6 90.2 2.6 4.3 92.7 2.4 91.0 10.6 82.8 92.3 2.7 2.4 93.3 79.9 3.4 91.0 2 626.6 297.8 280.4 124.3 171.0 123.7 13.5 87.5 88.2 340.5 267.8 150.5 174.0 129.7 99.7 278.0 2 973.1 1.7 125.4 94.3 3.4 1.9 4.7 20.1 86.6 2.8 92.7 92.5 2.5 2.2 93.6 3.8 90.1 88.7 93.6 91.3 3.0 94.2 77.9 7.0 94.5 94.7 93.3 2.1 91.9 54.3 1.3

Square miles 35.8 30.1 .7 12.8 22.0 35.2 17.3 .1 36.5 34.2 34.8 1.0 1.7 35.8 .9 35.1 4.1 32.0 35.7 1.0 .9 36.0 30.9 1.3 35.1 1 014.1 115.0 108.2 48.0 66.0 47.7 5.2 33.8 34.1 131.5 103.4 58.1 67.2 50.1 38.5 107.3 1 147.9 .6 48.4 36.4 1.3 .7 1.8 7.8 33.5 1.1 35.8 35.7 1.0 .9 36.2 1.5 34.8 34.3 36.1 35.3 1.1 36.4 30.1 2.7 36.5 36.5 36.0 .8 35.5 21.0 .5

Square kilometer 15.2 31.9 158.9 1 140.7 40.5 12.0 49.7 5.0 17.0 12.8 7.6 214.6 998.1 8.9 417.9 17.5 683.1 17.1 8.3 287.8 205.8 8.0 42.3 799.1 15.5 3.3 .5 1.8 3.7 2.2 .8 145.0 6.0 3.4 .9 5.2 4.2 5.0 .3 1.6 3.6 16.6 180.0 6.2 3.9 228.2 230.5 575.7 21.2 6.4 408.6 3.4 3.3 745.2 391.8 5.6 625.8 6.2 6.2 5.8 12.1 390.3 4.3 27.9 598.9 6.0 7.3 4.0 269.5 5.3 3.1 446.2

Square mile 39.4 82.6 431.4 949.8 104.9 31.1 128.3 10.0 44.0 33.0 19.7 558.0 524.7 23.0 114.4 45.2 766.1 44.3 21.6 777.0 548.9 20.8 109.5 090.0 40.1 8.7 1.3 4.6 9.6 5.8 2.0 376.5 15.7 8.7 2.4 13.4 10.8 13.0 .8 4.1 9.4 42.9 510.0 16.2 10.0 596.9 625.7 503.3 54.6 16.5 040.0 8.7 8.6 863.0 957.8 14.4 585.3 16.0 16.0 15.1 31.4 064.5 11.2 72.3 552.6 15.6 18.9 10.4 707.5 13.6 8.0 160.0

Square kilometer 5.0 10.7 62.1 458.5 15.4 4.0 19.9 5.0 5.7 4.5 2.7 70.8 384.0 2.8 148.3 9.2 264.5 6.1 3.0 100.4 79.2 2.9 14.8 310.9 5.5 2.7 1.1 1.0 3.1 .6 1.0 69.0 3.9 4.6 1.9 2.8 5.4 6.2 .7 2.0 2.5 6.2 111.2 2.2 1.4 98.8 96.3 242.8 9.0 2.5 201.8 1.2 1.2 289.6 152.7 1.9 269.5 2.3 2.3 1.9 3.1 149.7 1.5 9.1 252.3 2.3 2.4 1.3 118.1 1.9 1.4 190.0

Square mile 13.0 27.6 168.6 1 185.6 39.8 10.3 51.5 10.0 14.9 11.8 7.0 184.0 971.2 7.3 395.6 23.8 683.9 15.9 7.7 271.0 211.1 7.4 38.2 813.1 14.2 7.1 2.8 2.5 8.0 1.7 2.6 179.2 10.1 11.9 5.0 7.3 14.0 16.2 1.9 5.1 6.5 16.1 315.0 5.6 3.6 258.5 261.4 633.9 23.1 6.4 513.6 3.1 3.0 724.0 373.3 4.9 682.7 5.9 5.9 4.9 8.0 408.2 3.8 23.6 654.1 5.8 6.2 3.3 310.0 5.0 3.6 494.0

15

13 1

2

1

1

2 1 1

2

2

1 1

1 1

2

7 203 322 271 384 111 122 932 343 407 662 759 813 1 086 95 195 701 18 450 189 271 130 336 183 1 141 180 215 565 110 107 724 336 178 1 024 204 204 178 281 449 138 711 1 766 213 227 117 248 178 75 247

6 749 293 294 392 100 105 869 302 318 652 675 708 1 025 131 216 669 18 204 176 281 391 305 170 1 097 194 253 583 116 128 680 364 186 882 248 209 184 281 465 152 709 1 614 199 242 100 243 159 68 231

1 1

1 1

1

1

1

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 23 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 23

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Grant County † Con. Mount Hope town Mount Hope village Mount Ida town Muscoda town † Muscoda village (pt.) † North Lancaster town † Paris town † Patch Grove town Patch Grove village Platteville city † Platteville town † Potosi town Potosi village Smelser town † South Lancaster town Tennyson village Waterloo town Watterstown town † Wingville town Woodman town Woodman village Wyalusing town † Green County † Adams town Albany town † Albany village † Belleville village (pt.) † Brodhead city † Brooklyn town Brooklyn village (pt.) Browntown village Cadiz town Clarno town † Decatur town † Exeter town Jefferson town Jordan town Monroe city † Monroe town † Monticello village † Mount Pleasant town † New Glarus town † New Glarus village † Spring Grove town Sylvester town Washington town York town Green Lake County † Berlin city (pt.) † Berlin town † Brooklyn town † Green Lake city † Green Lake town Kingston town Kingston village Mackford town Manchester town Markesan city Marquette town Marquette village Princeton city Princeton town St. Marie town Seneca town Iowa County † Arena town † Arena village † Avoca village Barneveld village † Blanchardville village (pt.) Brigham town † Clyde town

1990 240 173 510 566 1 283 548 749 378 202 9 708 1 415 963 654 763 905 378 588 361 340 182 120 364 30 339 452 598 1 140 107 3 165 764 383 256 913 1 011 1 076 756 1 130 545 10 241 1 066 1 140 539 571 1 899 745 746 587 509 18 651 5 304 996 1 798 1 064 1 335 776 346 616 774 1 496 400 182 1 458 1 363 348 395 20 150 1 301 525 474 660 167 692 391

1980 343 197 544 566 331 506 842 421 259 580 309 104 736 970 032 476 615 348 417 216 116 443

1970 308 176 495 455 099 475 751 385 187 599 010 037 713 907 187 402 602 255 388 196 102 396

1990 96 84 183 234 555 162 227 116 99 3 160 503 341 267 251 256 141 231 138 120 86 50 225 12 087 169 225 471 54 1 297 270 152 104 337 374 402 260 389 198 4 556 312 482 188 196 769 261 262 199 160 9 202 2 218 352 960 622 938 307 143 216 308 604 342 127 656 1 080 165 164 8 220 554 194 272 257 65 257 174

1980 112 81 191 241 538 153 235 118 107 2 938 441 342 268 271 261 142 199 134 142 85 48 247 11 317 166 236 435 50 1 219 247 145 103 324 358 323 234 392 186 4 248 269 450 173 175 719 251 253 190 171 8 319 2 101 355 667 589 832 245 140 201 293 568 323 146 663 920 129 147 7 568 503 173 261 229 59 274 148

1970 105 72 153 168 423 129 170 94 71 2 467 275 279 206 210 224 111 179 94 120 63 39 134 8 889 147 179 341 27 906 220 117 91 243 308 240 195 329 153 3 271 225 323 153 163 527 231 183 157 160 6 859 1 827 279 537 426 786 199 131 171 261 497 111 108 590 725 93 118 6 150 329 137 191 164 50 231 112

Square kilometers 77.5 .8 94.0 89.7 2.3 93.3 92.1 85.2 1.0 10.4 83.7 149.9 3.8 91.0 88.3 1.1 115.5 74.7 91.9 71.2 .6 110.3 1 514.2 93.7 88.9 3.4 .3 4.2 91.9 1.4 2.6 94.8 94.7 89.1 91.0 100.4 93.3 10.4 86.3 3.0 88.9 90.0 3.6 103.1 93.0 92.8 93.2 985.4 14.0 77.8 122.6 4.0 125.9 76.2 4.0 88.8 91.6 6.0 104.2 2.0 4.2 92.3 86.8 85.0 1 989.5 206.7 2.1 6.2 3.3 .2 166.2 89.7

Square miles 29.9 .3 36.3 34.6 .9 36.0 35.5 32.9 .4 4.0 32.3 57.9 1.5 35.1 34.1 .4 44.6 28.9 35.5 27.5 .2 42.6 584.6 36.2 34.3 1.3 .1 1.6 35.5 .6 1.0 36.6 36.6 34.4 35.1 38.8 36.0 4.0 33.3 1.1 34.3 34.7 1.4 39.8 35.9 35.8 36.0 380.5 5.4 30.0 47.3 1.5 48.6 29.4 1.5 34.3 35.4 2.3 40.2 .8 1.6 35.6 33.5 32.8 768.2 79.8 .8 2.4 1.3 .1 64.2 34.6

Square kilometers 77.5 .8 94.0 86.9 2.3 93.3 91.0 85.2 1.0 10.4 83.7 120.9 3.7 91.0 88.3 1.1 98.9 72.1 91.8 69.2 .6 103.3 1 512.7 93.7 88.5 3.3 .3 4.2 91.9 1.4 2.6 94.4 94.7 88.6 91.0 100.4 93.3 10.4 86.3 2.9 88.9 90.0 3.6 103.1 93.0 92.8 93.2 917.7 13.4 77.0 92.0 3.4 122.4 74.7 3.5 87.0 90.4 6.0 78.7 2.0 4.2 91.6 86.8 84.8 1 975.5 202.9 2.1 5.9 3.3 .2 166.1 88.4

Square miles 29.9 .3 36.3 33.5 .9 36.0 35.1 32.9 .4 4.0 32.3 46.7 1.4 35.1 34.1 .4 38.2 27.8 35.5 26.7 .2 39.9 584.0 36.2 34.2 1.3 .1 1.6 35.5 .6 1.0 36.5 36.6 34.2 35.1 38.8 36.0 4.0 33.3 1.1 34.3 34.7 1.4 39.8 35.9 35.8 36.0 354.3 5.2 29.7 35.5 1.3 47.3 28.8 1.4 33.6 34.9 2.3 30.4 .8 1.6 35.3 33.5 32.7 762.7 78.3 .8 2.3 1.3 .1 64.1 34.1

Square kilometer 3.1 216.3 5.4 6.5 557.8 5.9 8.2 4.4 202.0 933.5 16.9 8.0 176.8 8.4 10.2 343.6 5.9 5.0 3.7 2.6 200.0 3.5 20.1 4.8 6.8 345.5 356.7 753.6 8.3 273.6 98.5 9.7 10.7 12.1 8.3 11.3 5.8 984.7 12.4 393.1 6.1 6.3 527.5 7.2 8.0 6.3 5.5 20.3 395.8 12.9 19.5 312.9 10.9 10.4 98.9 7.1 8.6 249.3 5.1 91.0 347.1 14.9 4.0 4.7 10.2 6.4 250.0 80.3 200.0 835.0 4.2 4.4

Square mile 8.0 576.7 14.0 16.9 1 425.6 15.2 21.3 11.5 505.0 2 427.0 43.8 20.6 467.1 21.7 26.5 945.0 15.4 13.0 9.6 6.8 600.0 9.1 52.0 12.5 17.5 876.9 070.0 978.1 21.5 638.3 256.0 25.0 27.6 31.5 21.5 29.1 15.1 560.3 32.0 036.4 15.7 16.5 356.4 18.7 20.8 16.4 14.1

Square kilometer 1.2 105.0 1.9 2.7 241.3 1.7 2.5 1.4 99.0 303.8 6.0 2.8 72.2 2.8 2.9 128.2 2.3 1.9 1.3 1.2 83.3 2.2 8.0 1.8 2.5 142.7 180.0 308.8 2.9 108.6 40.0 3.6 3.9 4.5 2.9 3.9 2.1 438.1 3.6 166.2 2.1 2.2 213.6 2.5 2.8 2.1 1.7 10.0 165.5 4.6 10.4 182.9 7.7 4.1 40.9 2.5 3.4 100.7 4.3 63.5 156.2 11.8 1.9 1.9 4.2 2.7 92.4 46.1 77.9 325.0 1.5 2.0

Square mile 3.2 280.0 5.0 7.0 616.7 4.5 6.5 3.5 247.5 790.0 15.6 7.3 190.7 7.2 7.5 352.5 6.0 5.0 3.4 3.2 250.0 5.6 20.7 4.7 6.6 362.3 540.0 810.6 7.6 253.3 104.0 9.2 10.2 11.8 7.4 10.0 5.5 1 139.0 9.4 438.2 5.5 5.6 549.3 6.6 7.3 5.6 4.4 26.0 426.5 11.9 27.0 478.5 19.8 10.7 102.1 6.4 8.8 262.6 11.3 158.8 410.0 30.6 4.9 5.0 10.8 7.1 242.5 118.3 197.7 650.0 4.0 5.1

1

1

9 1 1 1

9 1 1 1

30 012 484 657 1 051 99 3 153 760 377 284 891 1 069 1 035 709 1 204 585 10 027 1 054 1 021 567 510 1 763 819 786 555 552 18 5 1 1 1 1 370 387 065 431 208 307 708 328 622 812 1 446 393 204 1 479 1 287 310 383 19 802 1 292 451 505 579 139 821 381

26 714 484 551 875 91 2 515 746 348 253 812 1 072 705 685 1 123 555 8 654 1 145 870 597 552 1 454 798 684 618 527 16 878 5 297 882 1 262 1 109 1 162 556 343 650 777 1 285 310 161 1 446 952 320 366 19 306 1 084 377 421 528 123 844 360

1 1

2 1 1

52.6 1 020.0 33.5 50.6 818.5 28.2 26.9 247.1 18.3 22.2 650.4 13.2 227.5 911.3 38.6 10.4 12.1 26.4 16.6 656.3 206.1 507.7 1 670.0 10.8 11.5

†

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 24 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

24 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Iowa County † Con. Cobb village † Dodgeville city † Dodgeville town † Eden town † Highland town † Highland village † Hollandale village Linden town Linden village Livingston village (pt.) Mifflin town Mineral Point city † Mineral Point town † Montfort village (pt.) Moscow town † Muscoda village (pt.) Pulaski town † Rewey village Ridgeway town † Ridgeway village † Waldwick town Wyoming town Iron County † Anderson town Carey town Gurney town Hurley city Kimball town Knight town Mercer town Montreal city † Oma town Pence town † Saxon town Sherman town Jackson County † Adams town † Albion town Alma town † Alma Center village Bear Bluff town Black River Falls city † Brockway town † City Point town Cleveland town Curran town Franklin town Garden Valley town Garfield town Hixton town † Hixton village † Irving town Knapp town Komensky town Manchester town Melrose town Melrose village Merrillan village Millston town North Bend town Northfield town Springfield town Taylor village †

1990 440 3 882 1 172 381 756 799 256 773 429 10 564 2 428 851 96 528 4 392 220 557 577 487 338 6 153 69 175 143 1 782 513 265 1 325 838 260 181 335 267 16 588 1 167 904 831 416 149 3 490 1 222 193 452 351 431 386 421 652 345 565 257 292 563 357 551 553 154 419 572 476 419 67 783 1 476 80 683 1 896 1 404 10 227 975 2 789

1980 409 3 458 1 234 419 844 860 271 828 395 16 591 2 259 792 100 568 – 462 233 564 503 503 325 6 730 91 179 153 2 015 499 294 1 425 887 298 191 362 336 16 831 1 300 976 696 454 133 3 434 1 053 196 422 410 417 421 423 646 364 618 201 449 590 338 507 587 202 456 652 475 411 66 152 1 752 59 684 1 805 1 528 9 785 1 104 2 905

1970 410 3 255 1 164 503 923 785 256 961 408 9 664 2 305 770 7 548 … 489 232 521 463 598 298 6 533 92 194 135 2 418 468 324 1 003 877 265 234 371 152 15 325 980 914 668 495 116 3 273 978 180 411 360 414 435 369 558 300 489 155 283 442 355 505 612 157 498 587 469 322 60 060 1 306 17 1 018 1 130 1 391 9 164 973 2 324

1990 184 1 573 515 142 285 320 116 279 173 4 207 1 049 305 29 180 2 155 102 221 244 176 186 5 243 76 139 75 1 009 225 211 1 712 462 504 97 194 539 7 627 678 383 343 181 91 1 547 537 203 216 141 173 149 187 253 172 226 146 96 338 141 251 265 125 173 242 190 180 25 719 529 37 248 688 473 4 074 361 939

1980 170 1 379 443 150 283 307 104 261 151 4 208 964 288 28 182 – 165 104 199 192 174 165 5 098 94 145 66 1 049 224 221 1 565 456 460 122 184 512 6 975 573 355 287 185 71 1 436 473 183 172 140 148 153 171 227 167 208 124 112 243 144 245 267 123 167 256 166 179 24 030 565 24 231 595 458 3 845 364 907

1970 154 1 113 341 133 239 285 94 239 148 2 179 855 210 3 161 … 141 86 132 150 153 118 3 747 78 139 48 912 162 194 874 407 374 115 162 282 5 649 496 281 240 160 52 1 184 371 130 128 120 127 139 132 176 113 165 88 67 187 125 193 230 100 152 219 149 125 19 198 379 7 315 320 392 3 148 286 623

Square kilometers 2.3 8.6 234.5 91.5 168.1 2.8 1.8 157.1 2.0 .6 131.3 7.5 153.4 .1 107.2 1.1 115.6 1.3 110.7 3.3 108.6 105.8 2 380.0 216.6 111.4 96.0 8.6 96.1 246.3 478.6 5.8 201.4 93.5 171.1 353.7 2 590.2 96.2 118.6 150.1 2.6 145.2 7.9 125.8 233.7 92.9 93.8 94.8 93.8 93.2 91.1 2.1 115.0 185.3 154.1 166.9 71.1 2.1 3.4 187.5 73.3 93.2 94.6 1.8 1 509.5 67.2 .4 63.3 94.7 95.0 11.4 75.0 94.6

Square miles .9 3.3 90.5 35.3 64.9 1.1 .7 60.7 .8 .2 50.7 2.9 59.2 – 41.4 .4 44.6 .5 42.7 1.3 41.9 40.8 918.9 83.6 43.0 37.1 3.3 37.1 95.1 184.8 2.2 77.8 36.1 66.1 136.6 1 000.1 37.2 45.8 58.0 1.0 56.1 3.0 48.6 90.2 35.9 36.2 36.6 36.2 36.0 35.2 .8 44.4 71.5 59.5 64.4 27.4 .8 1.3 72.4 28.3 36.0 36.5 .7 582.8 26.0 .2 24.4 36.6 36.7 4.4 28.9 36.5

Square kilometers 2.3 8.6 233.4 91.2 167.6 2.8 1.8 157.1 2.0 .6 131.3 7.5 153.2 .1 107.1 1.1 112.2 1.3 110.6 3.3 108.6 103.0 1 961.4 215.5 107.6 96.0 8.2 96.1 243.7 435.3 5.8 193.5 83.3 171.0 305.5 2 557.1 93.5 118.1 150.1 2.6 137.4 7.6 123.8 230.8 92.9 93.8 94.8 93.8 93.1 91.0 2.1 113.7 179.0 152.7 166.4 69.4 2.0 3.3 183.8 72.0 93.1 94.5 1.8 1 442.8 65.6 .4 63.2 93.3 94.7 11.2 74.7 93.1

Square miles .9 3.3 90.1 35.2 64.7 1.1 .7 60.7 .8 .2 50.7 2.9 59.1 – 41.4 .4 43.3 .5 42.7 1.3 41.9 39.8 757.3 83.2 41.6 37.1 3.1 37.1 94.1 168.1 2.2 74.7 32.2 66.0 118.0 987.3 36.1 45.6 57.9 1.0 53.1 2.9 47.8 89.1 35.9 36.2 36.6 36.2 36.0 35.1 .8 43.9 69.1 58.9 64.3 26.8 .8 1.3 70.9 27.8 36.0 36.5 .7 557.1 25.3 .2 24.4 36.0 36.6 4.3 28.8 35.9

Square kilometer 191.3 451.4 5.0 4.2 4.5 285.4 142.2 4.9 214.5 16.7 4.3 323.7 5.6 960.0 4.9 3.6 3.5 169.2 5.0 174.8 4.5 3.3 3.1 .3 1.6 1.5 217.3 5.3 1.1 3.0 144.5 1.3 2.2 2.0 .9 6.5 12.5 7.7 5.5 160.0 1.1 459.2 9.9 .8 4.9 3.7 4.5 4.1 4.5 7.2 164.3 5.0 1.4 1.9 3.4 5.1 275.5 167.6 .8 5.8 6.1 5.0 232.8 47.0 22.5 200.0 10.8 20.3 14.8 913.1 13.1 30.0

Square mile 488.9 1 176.4 13.0 10.8 11.7 726.4 365.7 12.7 536.3 50.0 11.1 837.2 14.4 – 12.8 10.0 9.1 440.0 13.0 443.8 11.6 8.5 8.1 .8 4.2 3.9 574.8 13.8 2.8 7.9 380.9 3.5 5.6 5.1 2.3 16.8 32.3 19.8 14.4 416.0 2.8 1 203.4 25.6 2.2 12.6 9.7 11.8 10.7 11.7 18.6 431.3 12.9 3.7 5.0 8.8 13.3 688.8 425.4 2.2 15.1 15.9 13.0 598.6 121.7 58.3 400.0 28.0 52.7 38.4 2 378.4 33.9 77.7

Square kilometer 80.0 182.9 2.2 1.6 1.7 114.3 64.4 1.8 86.5 6.7 1.6 139.9 2.0 290.0 1.7 1.8 1.4 78.5 2.0 73.9 1.6 1.8 2.7 .4 1.3 .8 123.0 2.3 .9 3.9 79.7 2.6 1.2 1.1 1.8 3.0 7.3 3.2 2.3 69.6 .7 203.6 4.3 .9 2.3 1.5 1.8 1.6 2.0 2.8 81.9 2.0 .8 .6 2.0 2.0 125.5 80.3 .7 2.4 2.6 2.0 100.0 17.8 8.1 92.5 3.9 7.4 5.0 363.8 4.8 10.1

Square mile 204.4 476.7 5.7 4.0 4.4 290.9 165.7 4.6 216.3 20.0 4.1 361.7 5.2 – 4.3 5.0 3.6 204.0 5.2 187.7 4.2 4.7 6.9 .9 3.3 2.0 325.5 6.1 2.2 10.2 210.0 6.7 3.0 2.9 4.6 7.7 18.8 8.4 5.9 181.0 1.7 533.4 11.2 2.3 6.0 3.9 4.7 4.1 5.2 7.2 215.0 5.1 2.1 1.6 5.3 5.3 313.8 203.8 1.8 6.2 6.7 5.2 257.1 46.2 20.9 185.0 10.2 19.1 12.9 947.4 12.5 26.2

†

Jefferson County † Aztalan town † Cambridge village (pt.) Cold Spring town Concord town Farmington town Fort Atkinson city † Hebron town Ixonia town

†

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 25 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 25

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Jefferson County † Jefferson city † Jefferson town Johnson Creek village Koshkonong town Lake Mills city † Lake Mills town † Milford town Oakland town † Lake Ripley CDP Palmyra town † Palmyra village Sullivan town Sullivan village Sumner town Waterloo city Waterloo town Watertown city (pt.) Watertown town Whitewater city (pt.) Con. 6 2 1 2 4 1 1 2 1 1 1 1 2 † † † 12 1 2

1990 078 673 259 984 143 584 007 526 218 177 539 929 432 822 712 694 388 840 466 5 2 1 2 3 1 1 2 1 1 1 2 12 1 2

1980 647 891 136 979 670 515 066 240 … 069 515 646 434 973 393 811 202 921 422

1970 5 429 3 082 790 2 671 3 556 1 472 1 129 1 984 … 875 1 341 1 159 467 954 2 253 685 11 310 1 671 1 909 18 455 288 547 312 294 1 513 87 616 215 190 335 92 970 926 661 405 533 223 3 466 674 740 1 361 619 647 376 566 205 759 835 117 917 1 199 2 740 … 78 805 1 470 1 744 12 019 … 1 582 … 5 555 1 898 1 210 7 270 2 276 2 047 … 18 961 878 4 023 1 105 979 481 966

1990 2 472 735 473 1 269 1 735 663 377 1 207 722 549 600 706 177 541 1 048 257 4 550 672 339 11 422 473 242 376 185 653 121 229 1 035 68 305 36 713 312 379 412 202 239 1 560 1 188 368 643 255 244 155 248 90 306 385 51 262 443 1 544 – 31 197 1 074 517 11 4 347 1 191 585 3 326 1 160 790 3 178 2 296 1 348 72 7 544 406 1 564 383 344 223 360

1980 2 189 740 439 1 174 1 557 621 371 1 083 … 500 557 575 171 589 968 251 4 312 633 311 r9 937 378 231 276 316 610 115 201 r827 67 r244 37 r567 285 359 301 167 r219 1 442 837 313 599 221 215 135 262 87 252 374 47 506 387 1 361 … 29 411 916 492 4 221 … 1 033 525 2 870 1 122 673 2 970 1 995 1 177 87 7 023 350 1 530 368 312 192 339

1970 1 779 660 261 980 1 349 497 332 835 … 389 422 366 149 533 809 189 3 580 489 109 6 954 169 184 145 111 569 43 179 217 61 165 31 354 253 221 143 218 148 1 261 372 286 509 169 192 118 175 65 248 348 39 110 336 912 … 24 872 730 455 3 465 … 773 … 2 529 1 056 504 2 179 1 466 889 … 5 888 257 1 417 319 252 167 284

Square kilometers 11.4 114.2 3.1 114.0 8.3 86.1 90.8 93.6 6.6 91.2 3.1 92.0 2.9 81.0 10.2 83.7 16.9 102.7 2.6 2 082.9 201.2 2.5 92.8 140.0 4.4 99.9 80.3 116.5 1.2 73.1 147.9 111.5 86.8 74.0 76.8 5.2 63.3 8.7 214.9 7.5 6.7 91.0 89.8 94.2 95.7 1.8 92.7 2.7 1 953.8 93.2 94.2 .2 65.0 4.8 94.5 7.8 83.9 43.6 3.8 84.8 14.1 4.0 84.5 17.2 62.2 .6 2 809.1 80.8 6.4 92.3 92.5 1.4 93.7

Square miles 4.4 44.1 1.2 44.0 3.2 33.2 35.0 36.1 2.5 35.2 1.2 35.5 1.1 31.3 3.9 32.3 6.5 39.7 1.0 804.2 77.7 1.0 35.8 54.0 1.7 38.6 31.0 45.0 .5 28.2 57.1 43.0 33.5 28.6 29.6 2.0 24.4 3.3 83.0 2.9 2.6 35.1 34.7 36.4 36.9 .7 35.8 1.0 754.4 36.0 36.4 .1 25.1 1.9 36.5 3.0 32.4 16.8 1.5 32.7 5.4 1.5 32.6 6.7 24.0 .2 1 084.6 31.2 2.5 35.6 35.7 .5 36.2

Square kilometers 10.9 113.0 3.1 111.5 7.3 80.6 87.7 90.3 4.9 90.3 3.0 89.8 2.9 42.2 10.1 83.7 16.3 101.3 2.6 1 988.3 170.9 2.5 92.8 135.1 4.4 99.2 80.3 86.1 1.2 71.9 141.4 111.3 86.8 73.9 73.4 5.2 60.8 7.5 203.1 6.7 6.1 91.0 89.7 94.2 95.6 1.8 92.7 2.7 706.6 92.7 93.3 .2 55.8 4.2 94.5 – 83.5 41.9 2.1 77.7 11.6 4.0 84.5 13.3 61.0 .6 887.5 80.3 6.3 92.3 92.5 1.4 91.9

Square miles 4.2 43.6 1.2 43.1 2.8 31.1 33.9 34.9 1.9 34.8 1.2 34.7 1.1 16.3 3.9 32.3 6.3 39.1 1.0 767.7 66.0 1.0 35.8 52.2 1.7 38.3 31.0 33.2 .5 27.8 54.6 43.0 33.5 28.5 28.3 2.0 23.5 2.9 78.4 2.6 2.4 35.1 34.6 36.4 36.9 .7 35.8 1.0 272.8 35.8 36.0 .1 21.5 1.6 36.5 – 32.3 16.2 .8 30.0 4.5 1.5 32.6 5.1 23.6 .2 342.7 31.0 2.4 35.6 35.7 .5 35.5

Square kilometer 557.6 23.7 406.1 26.8 567.5 19.7 11.5 28.0 248.6 13.0 513.0 21.5 149.0 19.5 268.5 8.3 760.0 18.2 948.5 10.9 3.5 204.8 5.4 2.3 348.4 .7 7.9 7.1 130.0 6.8 .4 15.3 9.2 11.7 10.8 91.2 5.8 458.5 7.9 110.9 244.4 6.4 6.7 4.1 6.3 109.4 8.3 293.7 181.4 13.6 42.5 – 1 440.0 633.8 15.7 – 143.2 57.2 316.7 92.0 197.5 450.3 93.0 299.9 53.5 145.0 21.3 11.7 532.2 11.3 10.9 388.6 10.8

Square mile 1 447.1 61.3 1 049.2 69.2 1 479.6 50.9 29.7 72.4 641.1 33.8 1 282.5 55.6 392.7 50.4 695.4 21.5 1 966.3 47.1 2 466.0 28.2 9.0 512.0 14.0 6.0 901.8 1.7 20.4 18.5 312.0 17.7 1.0 39.7 23.8 30.2 27.9 237.0 14.9 1 185.9 20.4 285.8 621.3 16.6 17.4 10.5 16.3 281.4 21.5 793.0 469.9 35.3 110.2 – 3 737.3 1 663.8 40.6 – 370.3 147.8 831.3 238.2 509.1 1 200.7 241.1 782.2 138.3 435.0 55.1 30.4 1 397.1 29.2 28.3 1 088.0 27.9

Square kilometer 226.8 6.5 152.6 11.4 237.7 8.2 4.3 13.4 147.3 6.1 200.0 7.9 61.0 12.8 103.8 3.1 279.1 6.6 130.4 5.7 2.8 96.8 4.1 1.4 148.4 1.2 2.9 12.0 56.7 4.2 .3 6.4 3.6 5.1 5.6 38.8 3.9 208.0 5.8 54.9 105.4 2.8 2.7 1.6 2.6 50.0 3.3 142.6 72.5 4.8 16.5 – 559.1 255.7 5.5 – 52.1 28.4 278.6 42.8 100.0 197.5 37.6 172.6 22.1 120.0 8.5 5.1 248.3 4.1 3.7 159.3 3.9

Square mile 588.6 16.9 394.2 29.4 619.6 21.3 11.1 34.6 380.0 15.8 500.0 20.3 160.9 33.2 268.7 8.0 722.2 17.2 339.0 14.9 7.2 242.0 10.5 3.5 384.1 3.2 7.4 31.2 136.0 11.0 .7 16.6 9.3 13.3 14.6 101.0 10.2 537.9 15.2 141.5 267.9 7.3 7.1 4.3 6.7 128.6 8.5 385.0 187.9 12.4 42.9 – 1 451.0 671.3 14.2 – 134.6 73.5 731.3 110.9 257.8 526.7 97.5 450.2 57.1 360.0 22.0 13.1 651.7 10.8 9.6 446.0 10.1

†

†

Juneau County † Armenia town Camp Douglas village Clearfield town Cutler town Elroy city † Finley town Fountain town Germantown town Hustler village Kildare town Kingston town Lemonweir town † Lindina town † Lisbon town † Lyndon town † Lyndon Station village Marion town Mauston city † Necedah town Necedah village New Lisbon city † Orange town Plymouth town † Seven Mile Creek town Summit town Union Center village † Wonewoc town † Wonewoc village Kenosha County † Brighton town Bristol town Genoa City village (pt.) Kenosha city † Paddock Lake village Paris town Pleasant Prairie town Pleasant Prairie village Randall town † Powers Lake CDP (pt.) Salem town † Camp Lake CDP Silver Lake village Somers town † Twin Lakes village † Wheatland town Powers Lake CDP (pt.) Kewaunee County Ahnapee town Algoma city † Carlton town Casco town Casco village Franklin town † †

21 650 592 512 502 314 1 533 66 633 615 156 491 57 1 707 796 862 790 474 351 3 439 1 601 743 1 491 581 601 383 600 197 770 793 128 181 1 264 3 968 – 80 352 2 662 1 482 37 11 961 2 395 665 7 146 2 291 1 801 7 861 3 989 3 263 87 18 878 941 3 353 1 041 1 010 544 990

r21 037 545 589 538 369 1 504 72 598 r638 170 r465 64 r1 317 816 903 701 375 r362 3 284 1 394 773 1 390 607 644 362 721 216 778 842 123 137 1 180 3 599 … 77 685 2 207 1 612 12 703 … 2 155 740 6 292 2 060 1 598 7 724 3 474 2 908 102 19 539 948 3 656 1 140 1 001 484 1 062

† † † †

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 26 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

26 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Kewaunee County † Con. Kewaunee city Lincoln town Luxemburg town † Luxemburg village † Montpelier town Pierce town Red River town West Kewaunee town La Crosse County † Bangor town Bangor village Barre town Burns town † Campbell town † French Island CDP Farmington town Greenfield town Hamilton town † Holland town † Brice Prairie CDP (pt.) Holmen village † La Crosse city † Medary town † Onalaska city † Onalaska town † Brice Prairie CDP (pt.) Rockland village † Shelby town † Washington town West Salem village † Lafayette County † Argyle town † Argyle village † Belmont town † Belmont village † Benton town † Benton village Blanchard town † Blanchardville village (pt.) Cuba City city (pt.) † Darlington city † Darlington town † Elk Grove town Fayette town Gratiot town Gratiot village Hazel Green village (pt.) Kendall town Lamont town Monticello town New Diggings town Seymour town Shullsburg city Shullsburg town South Wayne village Wayne town White Oak Springs town Willow Springs town Wiota town Langlade County † Ackley town Ainsworth town Antigo city † Antigo town † Elcho town Evergreen town Langlade town Neva town Norwood town Parrish town

1990 2 750 996 1 387 1 151 1 369 724 1 407 1 215 97 904 598 1 076 909 977 4 478 4 478 1 576 1 617 1 633 2 172 – 3 220 51 003 1 585 11 284 5 907 1 031 509 5 151 598 3 611 16 076 424 798 737 823 507 898 220 635 161 2 235 867 476 390 709 207 – 363 254 182 485 401 1 236 363 478 510 116 656 945 19 505 550 474 8 276 1 406 1 075 483 415 910 842 81

1980 2 801 967 1 468 1 040 1 457 790 1 431 1 294 91 056 572 1 012 901 988 4 118 4 118 1 603 1 537 1 472 1 776 … 2 411 48 347 1 794 9 249 5 386 … 383 5 620 611 3 276 17 412 498 720 716 826 524 983 209 664 201 2 300 842 522 447 706 280 12 432 341 202 556 497 1 484 455 495 559 165 685 1 091 19 978 639 447 8 653 1 661 1 078 515 413 970 866 87

1970 2 901 984 1 295 853 1 273 720 1 308 1 195 80 468 569 974 521 901 3 327 … 1 383 1 278 1 229 976 … 1 081 50 286 2 333 4 909 2 973 … 278 4 600 670 2 180 17 456 531 673 626 688 524 873 233 671 91 2 351 949 613 444 797 249 … 435 387 201 601 615 1 376 571 436 588 207 658 1 068 19 220 681 348 9 005 1 692 885 436 342 819 838 60

1990 1 213 338 424 460 457 369 552 451 38 239 199 432 344 350 1 731 1 731 639 552 585 734 – 1 160 20 897 551 4 378 2 001 326 157 2 000 214 1 315 6 313 178 364 261 346 170 357 89 300 59 997 293 150 163 244 98 – 111 103 60 188 126 543 127 202 168 43 209 364 10 825 235 486 3 619 539 1 403 241 341 422 326 100

1980 1 163 308 411 371 424 344 523 388 33 277 179 378 293 315 1 515 1 515 573 489 487 602 … 801 18 757 600 3 213 1 730 … 120 1 939 187 1 099 6 293 174 336 246 327 154 362 76 312 64 968 274 150 148 221 110 3 119 109 62 224 139 572 138 191 174 50 218 372 9 821 222 376 3 498 540 1 313 210 275 362 300 90

1970 1 024 273 305 266 344 233 418 329 25 433 146 334 143 240 1 029 … 412 323 372 297 … 367 16 573 685 1 491 894 … 80 1 259 168 620 5 358 159 287 155 238 138 293 71 292 23 836 239 142 136 194 88 … 96 107 63 188 139 468 130 154 154 53 199 316 7 819 183 219 3 153 466 879 144 212 292 243 61

Square kilometers 10.6 92.4 89.9 4.1 93.7 56.6 93.6 96.0 1 243.1 90.9 2.7 53.5 125.4 33.3 7.1 195.8 77.9 133.8 119.6 – 4.8 52.3 37.9 18.1 120.9 7.7 1.2 76.7 93.5 4.8 1 643.7 92.4 1.5 107.2 1.4 73.1 1.6 45.4 .9 .3 2.9 120.3 93.9 93.1 140.7 1.5 .1 110.3 51.6 50.9 65.6 93.6 2.9 90.6 1.4 95.9 42.7 125.0 136.8 2 299.8 184.0 186.3 14.8 81.1 194.9 93.9 187.8 97.7 93.6 94.8

Square miles 4.1 35.7 34.7 1.6 36.2 21.9 36.1 37.0 480.0 35.1 1.0 20.7 48.4 12.8 2.7 75.6 30.1 51.7 46.2 – 1.9 20.2 14.6 7.0 46.7 3.0 .5 29.6 36.1 1.8 634.6 35.7 .6 41.4 .6 28.2 .6 17.5 .3 .1 1.1 46.4 36.3 35.9 54.3 .6 – 42.6 19.9 19.6 25.3 36.1 1.1 35.0 .5 37.0 16.5 48.3 52.8 887.9 71.0 71.9 5.7 31.3 75.3 36.3 72.5 37.7 36.1 36.6

Square kilometers 8.7 92.4 89.9 4.1 93.7 48.4 90.0 95.7 1 172.7 90.9 2.7 53.5 125.3 10.3 5.5 195.3 77.9 131.1 111.5 – 4.8 47.5 37.7 16.7 100.4 7.7 1.2 67.5 93.5 4.7 1 641.1 92.3 1.5 106.9 1.4 73.1 1.6 45.4 .9 .3 2.9 120.3 93.9 91.2 140.7 1.5 .1 110.3 51.6 50.9 65.6 93.5 2.9 90.6 1.4 95.8 42.7 125.0 136.7 2 260.4 183.8 180.0 14.7 81.1 184.9 92.8 185.3 97.0 92.6 94.1

Square miles 3.3 35.7 34.7 1.6 36.2 18.7 34.7 36.9 452.8 35.1 1.0 20.7 48.4 4.0 2.1 75.4 30.1 50.6 43.1 – 1.9 18.4 14.5 6.4 38.8 3.0 .5 26.1 36.1 1.8 633.6 35.6 .6 41.3 .6 28.2 .6 17.5 .3 .1 1.1 46.4 36.3 35.2 54.3 .6 – 42.6 19.9 19.6 25.3 36.1 1.1 35.0 .5 37.0 16.5 48.3 52.8 872.7 71.0 69.5 5.7 31.3 71.4 35.8 71.5 37.4 35.8 36.3

Square kilometer 316.1 10.8 15.4 280.7 14.6 15.0 15.6 12.7 83.5 6.6 398.5 17.0 7.8 434.8 814.2 8.1 20.8 12.5 19.5 – 670.8 1 073.7 42.0 675.7 58.8 133.9 424.2 76.3 6.4 768.3 9.8 4.6 532.0 6.9 587.9 6.9 561.3 4.8 705.6 536.7 770.7 7.2 5.1 4.3 5.0 138.0 – 3.3 4.9 3.6 7.4 4.3 426.2 4.0 341.4 5.3 2.7 5.2 6.9 8.6 3.0 2.6 563.0 17.3 5.8 5.2 2.2 9.4 9.1 .9

Square mile 833.3 27.9 40.0 719.4 37.8 38.7 40.5 32.9 216.2 17.0 1 076.0 43.9 20.2 1 119.5 2 132.4 20.9 53.7 32.3 50.4 – 1 694.7 2 771.9 109.3 1 763.1 152.2 343.7 1 018.0 197.4 16.6 2 006.1 25.4 11.9 1 330.0 17.8 1 371.7 18.0 1 496.7 12.6 2 116.7 1 610.0 2 031.8 18.7 13.1 11.1 13.1 345.0 – 8.5 12.8 9.3 19.2 11.1 1 123.6 10.4 956.0 13.8 7.0 13.6 17.9 22.4 7.7 6.8 1 451.9 44.9 15.1 13.5 5.8 24.3 23.5 2.2

Square kilometer 139.4 3.7 4.7 112.2 4.9 7.6 6.1 4.7 32.6 2.2 160.0 6.4 2.8 168.1 314.7 3.3 7.1 4.5 6.6 – 241.7 439.9 14.6 262.2 19.9 42.3 130.8 29.6 2.3 279.8 3.8 1.9 242.7 2.4 247.1 2.3 223.1 2.0 333.3 196.7 343.8 2.4 1.6 1.8 1.7 65.3 – 1.0 2.0 1.2 2.9 1.3 187.2 1.4 144.3 1.8 1.0 1.7 2.7 4.8 1.3 2.7 246.2 6.6 7.6 2.6 1.8 4.4 3.5 1.1

Square mile 367.6 9.5 12.2 287.5 12.6 19.7 15.9 12.2 84.5 5.7 432.0 16.6 7.2 432.8 824.3 8.5 18.3 11.6 17.0 – 610.5 1 135.7 38.0 684.1 51.6 108.7 314.0 76.6 5.9 730.6 10.0 5.0 606.7 6.3 576.7 6.0 595.0 5.1 1 000.0 590.0 906.4 6.3 4.1 4.6 4.5 163.3 – 2.6 5.2 3.1 7.4 3.5 493.6 3.6 404.0 4.5 2.6 4.3 6.9 12.4 3.3 7.0 634.9 17.2 19.6 6.7 4.8 11.3 9.1 2.8

†

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 27 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 27

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Langlade County † Con. Peck town Polar town Price town Rolling town † Summit town Upham town Vilas town White Lake village Wolf River town Lincoln County † Birch town Bradley town Corning town Harding town Harrison town King town Merrill city † Merrill town † Pine River town † Rock Falls town Russell town Schley town Scott town † Skanawan town Somo town Tomahawk city Tomahawk town Wilson town Manitowoc County † Cato town † Centerville town † Cleveland village † Cooperstown town † Eaton town † Francis Creek village Franklin town Gibson town Kellnersville village Kiel city (pt.) † Kossuth town Liberty town † Manitowoc city † Manitowoc town † Manitowoc Rapids town Maple Grove town Maribel village † Meeme town Mishicot town † Mishicot village † Newton town † Reedsville village Rockland town St. Nazianz village † Schleswig town † Two Creeks town Two Rivers city † Two Rivers town † Valders village † Whitelaw village † Marathon County † Abbotsford city (pt.) Athens village † Bergen town Berlin town Bern town Bevent town Birnamwood village (pt.) Brighton town Brokaw village Cassel town † †

1990 402 900 248 1 316 190 626 257 304 750 26 993 675 2 231 795 283 660 675 9 860 2 716 1 552 463 671 838 1 210 312 116 3 328 370 238 80 421 1 503 685 1 398 1 320 761 562 1 325 1 445 350 2 534 1 951 1 218 32 520 937 2 579 888 372 1 516 1 344 1 296 2 242 1 182 911 693 1 641 466 13 030 2 147 905 700 115 400 507 951 499 849 550 978 6 610 224 816

1980 424 827 243 1 236 197 545 264 309 604 26 555 689 2 235 807 261 693 597 9 578 2 591 1 463 434 668 818 1 149 256 150 3 527 383 256 82 918 1 653 796 1 270 1 249 764 589 1 372 1 416 369 2 654 2 1 32 1 3 097 170 547 177 186 962 363 1 535 1 334 1 503

1970 413 737 259 914 186 486 265 309 545 23 499 312 1 753 725 174 607 377 9 502 1 742 1 271 423 635 811 1 046 175 113 3 419 256 158 82 294 1 581 784 761 1 094 741 492 1 488 1 323 … 2 550 1 1 33 1 3 966 089 430 258 552 910 316 1 480 1 743 938

1990 163 346 112 467 135 819 143 172 756 13 256 211 1 744 340 208 713 580 4 045 1 037 566 336 280 326 423 193 104 1 527 333 290 31 843 505 243 503 418 276 223 443 478 146 1 051 703 442 13 728 354 798 291 131 513 449 503 805 463 372 271 779 164 5 414 772 352 253 43 774 198 412 206 269 159 400 3 191 87 260

1980 153 277 89 406 100 744 114 152 600 12 780 219 1 645 361 233 662 634 3 840 953 475 328 295 291 378 185 96 1 539 297 349 30 140 461 265 444 352 242 205 399 443 131 1 003 676 431 12 870 385 933 272 125 462 408 500 783 434 360 262 709 164 5 000 866 339 216 39 752 192 397 168 261 128 349 … 183 107 230

1970 118 232 93 252 69 567 95 133 408 9 809 180 1 272 214 96 544 368 3 292 605 354 251 251 259 297 136 68 1 224 132 266 25 411 364 212 243 280 184 140 383 359 … 830 526 282 11 231 350 805 233 97 370 441 282 644 340 299 188 584 161 4 479 699 241 164 29 771 99 307 123 203 126 215 … 166 107 204

Square kilometers 96.5 93.1 94.1 94.4 94.3 191.4 93.0 6.4 307.7 2 349.1 93.5 164.6 379.7 188.6 187.4 95.6 18.6 138.3 166.5 127.5 94.1 125.2 80.2 93.0 93.8 22.9 185.4 94.1 3 869.1 91.8 69.5 4.4 91.0 91.7 2.4 93.7 91.5 1.4 4.4 100.8 92.1 38.1 18.9 76.1 91.7 3.0 94.0 71.7 6.5 92.3 2.4 92.1 2.1 88.7 38.5 15.4 83.0 2.0 1.4 4 082.5 2.1 4.6 90.1 89.8 89.5 110.7 .2 88.7 2.4 86.0

Square miles 37.2 35.9 36.3 36.5 36.4 73.9 35.9 2.5 118.8 907.0 36.1 63.6 146.6 72.8 72.4 36.9 7.2 53.4 64.3 49.2 36.3 48.4 30.9 35.9 36.2 8.8 71.6 36.4 1 493.9 35.4 26.9 1.7 35.1 35.4 .9 36.2 35.3 .5 1.7 38.9 35.6 14.7 7.3 29.4 35.4 1.2 36.3 27.7 2.5 35.6 .9 35.5 .8 34.3 14.9 5.9 32.0 .8 .6 1 576.2 .8 1.8 34.8 34.7 34.6 42.7 .1 34.2 .9 33.2

Square kilometers 96.3 92.2 93.7 94.4 94.3 182.7 93.0 5.7 302.1 2 287.1 92.6 144.4 379.5 186.8 179.9 87.7 17.4 134.9 165.7 123.8 93.7 124.6 78.9 91.7 93.8 19.3 181.5 91.1 1 532.1 91.2 62.5 4.4 91.0 91.1 2.4 93.7 91.3 1.4 4.1 100.8 91.4 37.3 18.9 75.5 91.7 3.0 93.7 71.7 6.5 88.6 2.4 89.4 2.1 86.9 38.5 14.3 82.7 2.0 1.4 4 001.7 2.1 4.6 70.0 89.8 89.5 109.1 .2 88.6 2.0 85.9

Square miles 37.2 35.6 36.2 36.4 36.4 70.5 35.9 2.2 116.6 883.0 35.8 55.7 146.5 72.1 69.5 33.9 6.7 52.1 64.0 47.8 36.2 48.1 30.5 35.4 36.2 7.4 70.1 35.2 591.6 35.2 24.2 1.7 35.1 35.2 .9 36.2 35.3 .5 1.6 38.9 35.3 14.4 7.3 29.1 35.4 1.2 36.2 27.7 2.5 34.2 .9 34.5 .8 33.6 14.9 5.5 31.9 .8 .6 1 545.1 .8 1.8 27.0 34.7 34.5 42.1 .1 34.2 .8 33.2

Square kilometer 4.2 9.8 2.6 13.9 2.0 3.4 2.8 53.3 2.5 11.8 7.3 15.5 2.1 1.5 3.7 7.7 566.7 20.1 9.4 3.7 7.2 6.7 15.3 3.4 1.2 172.4 2.0 2.6 52.5 16.5 11.0 317.7 14.5 8.4 234.2 14.1 15.8 250.0 618.0 19.4 13.3 871.8 49.6 34.2 9.7 124.0 16.2 18.7 199.4 25.3 492.5 10.2 330.0 18.9 12.1 911.2 26.0 452.5 500.0 28.8 241.4 206.7 7.1 9.5 6.1 9.0 30.0 6.9 112.0 9.5

Square mile 10.8 25.3 6.9 36.2 5.2 8.9 7.2 138.2 6.4 30.6 18.9 40.1 5.4 3.9 9.5 19.9 1 471.6 52.1 24.3 9.7 18.5 17.4 39.7 8.8 3.2 449.7 5.3 6.8 135.9 42.7 28.3 822.4 37.6 21.6 624.4 36.6 40.9 700.0 1 583.8 50.2 34.5 2 258.3 128.4 88.6 25.1 310.0 41.9 48.5 518.4 65.6 1 313.3 26.4 866.3 48.8 31.3 2 369.1 67.3 1 131.3 1 166.7 74.7 633.8 528.3 18.5 24.5 15.9 23.2 60.0 17.8 280.0 24.6

Square kilometer 1.7 3.8 1.2 4.9 1.4 4.5 1.5 30.2 2.5 5.8 2.3 12.1 .9 1.1 4.0 6.6 232.5 7.7 3.4 2.7 3.0 2.6 5.4 2.1 1.1 79.1 1.8 3.2 20.8 5.5 3.9 114.3 4.6 3.0 92.9 4.7 5.2 104.3 256.3 7.0 4.8 368.0 18.7 10.6 3.2 43.7 5.5 6.3 77.4 9.1 192.9 4.2 129.0 9.0 4.3 378.6 9.3 176.0 180.7 10.9 94.3 89.6 2.9 3.0 1.8 3.7 15.0 2.2 43.5 3.0

Square mile 4.4 9.7 3.1 12.8 3.7 11.6 4.0 78.2 6.5 15.0 5.9 31.3 2.3 2.9 10.3 17.1 603.7 19.9 8.8 7.0 7.7 6.8 13.9 5.5 2.9 206.4 4.8 8.2 53.8 14.3 10.0 295.9 11.9 7.8 247.8 12.2 13.5 292.0 656.9 18.1 12.5 953.3 48.5 27.4 8.2 109.2 14.2 16.2 201.2 23.5 514.4 10.8 338.8 23.2 11.0 984.4 24.2 440.0 421.7 28.3 247.5 228.9 7.6 7.8 4.6 9.5 30.0 5.6 108.8 7.8

†

2 332 1 134 936 738 1 633 489 13 354 2 663 984 649 111 270 500 988 478 820 487 983 … 600 298 899

2 256 994 971 718 1 542 580 13 732 2 627 821 557 97 457 267 856 402 758 497 735 … 593 312 953

†

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 28 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

28 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Marathon County † Con. Cleveland town Colby city (pt.) † Day town Easton town Eau Pleine town Edgar village † Elderon town † Elderon village Emmet town Fenwood village Frankfort town Franzen town Green Valley town Guenther town Halsey town Hamburg town Harrison town Hatley village Hewitt town Holton town † Hull town † Johnson town † Knowlton town Kronenwetter town † Evergreen CDP McMillan town † Maine town † Marathon town † Marathon City village † Marshfield city (pt.) † Mosinee city † Mosinee town † Norrie town Plover town Reid town Rib Falls town Rib Mountain town † Rib Mountain CDP (pt.) † Rietbrock town Ringle town Rothschild village † Schofield city † Spencer town † Spencer village † Stettin town † Rib Mountain CDP (pt.) † Stratford village Texas town † Unity village (pt.) Wausau city † Wausau town † Weston town † Weston CDP Wien town † † Marinette County Amberg town Athelstane town Beaver town Beecher town Coleman village † Crivitz village † Dunbar town Goodman town Grover town Lake town Marinette city † Middle Inlet town Niagara town Niagara village Pembine town Peshtigo city † Peshtigo town † Porterfield town Pound town

1990 982 416 1 010 1 039 688 1 318 605 175 732 214 606 532 396 258 512 768 383 295 508 971 836 923 1 414 4 850 3 423 1 697 2 206 978 1 606 432 3 820 1 638 874 568 1 057 860 5 605 4 545 888 1 279 3 310 2 415 1 036 1 757 2 191 89 1 515 1 643 256 37 060 2 133 11 450 9 714 705 40 548 917 437 1 041 626 839 996 838 758 1 670 989 11 843 744 891 1 999 817 3 154 3 564 1 805 1 386

1980 958 345 989 046 759 194 628 191 757 165 743 571 355 297 548 749 354 300 496 945 402 933 153 012 842 433 163 114 552 237 015 464 808 553 957 851 344 055 981 097 338 226 989 754 436 950 385 634 252 426 215 342 775 761

1970 777 293 962 912 796 928 506 185 850 147 725 535 379 302 576 760 422 315 486 924 080 936 742 595 … 255 155 918 214 59 395 910 682 405 711 759 785 789 020 690 141 577 972 181 199 610 239 406 209 806 088 351 375 824

1990 333 182 324 335 236 500 256 76 237 70 211 204 259 128 167 259 166 112 201 307 260 289 590 613 106 539 745 310 604 193 478 555 354 225 400 266 945 609 282 405 254 076 355 752 801 37 584 556 95 318 725 236 651 221

1980 295 145 292 321 229 422 241 79 206 59 202 188 227 108 169 237 144 109 184 282 371 282 449 620 560 421 701 269 543 86 107 483 260 203 356 247 744 350 266 333 154 899 303 701 661 776 537 498 88 295 672 830 017 219

1970 206 115 240 241 207 306 177 77 190 49 182 146 192 89 148 207 124 102 140 249 264 246 308 786 … 331 606 216 360 24 770 263 221 152 225 200 329 100 253 192 889 769 247 405 278 811 396 377 67 254 550 663 877 193

Square kilometers 79.1 1.2 88.0 111.5 86.1 4.3 90.4 3.0 104.1 2.6 91.2 94.8 91.1 89.3 85.8 91.6 95.0 2.2 112.4 89.7 87.1 90.6 88.5 136.0 10.6 90.2 112.1 86.0 4.5 3.6 22.0 99.6 91.4 93.8 109.3 93.0 66.2 32.6 88.1 109.1 5.3 7.3 82.6 4.7 99.0 1.2 13.8 116.7 1.6 39.7 88.0 93.4 26.7 81.8 4 014.8 188.3 277.1 180.0 127.9 2.8 3.8 272.5 278.6 190.0 154.4 20.3 133.2 177.1 7.8 174.4 8.3 467.0 138.1 130.2

Square miles 30.5 .5 34.0 43.0 33.2 1.7 34.9 1.2 40.2 1.0 35.2 36.6 35.2 34.5 33.1 35.4 36.7 .9 43.4 34.6 33.6 35.0 34.2 52.5 4.1 34.8 43.3 33.2 1.7 1.4 8.5 38.5 35.3 36.2 42.2 35.9 25.6 12.6 34.0 42.1 2.0 2.8 31.9 1.8 38.2 .5 5.3 45.1 .6 15.3 34.0 36.1 10.3 31.6 1 550.1 72.7 107.0 69.5 49.4 1.1 1.4 105.2 107.6 73.3 59.6 7.9 51.4 68.4 3.0 67.3 3.2 180.3 53.3 50.3

Square kilometers 76.8 1.2 87.4 111.4 86.1 4.3 89.6 2.9 103.2 2.6 91.2 94.3 74.9 89.2 85.8 91.6 94.9 2.2 112.4 89.7 86.9 90.6 75.4 135.1 10.6 89.7 110.8 85.9 4.5 3.6 20.0 96.3 89.9 93.7 107.9 92.9 63.7 30.5 88.1 109.0 4.5 4.6 82.1 4.7 98.4 1.0 13.7 115.5 1.6 36.5 88.0 93.0 26.5 81.7 3 631.1 186.1 275.0 177.7 125.7 2.8 3.8 270.5 274.2 189.4 144.6 17.2 131.2 173.8 7.1 171.8 7.9 154.0 134.1 129.5

Square miles 29.7 .5 33.7 43.0 33.2 1.7 34.6 1.1 39.8 1.0 35.2 36.4 28.9 34.4 33.1 35.4 36.7 .9 43.4 34.6 33.5 35.0 29.1 52.1 4.1 34.6 42.8 33.2 1.7 1.4 7.7 37.2 34.7 36.2 41.6 35.9 24.6 11.8 34.0 42.1 1.8 1.8 31.7 1.8 38.0 .4 5.3 44.6 .6 14.1 34.0 35.9 10.2 31.6 1 402.0 71.8 106.2 68.6 48.5 1.1 1.4 104.4 105.9 73.1 55.8 6.7 50.7 67.1 2.7 66.3 3.0 59.4 51.8 50.0

Square kilometer 12.8 346.7 11.6 9.3 8.0 306.5 6.8 60.3 7.1 82.3 6.6 5.6 5.3 2.9 6.0 8.4 4.0 134.1 4.5 10.8 9.6 10.2 18.8 35.9 322.9 18.9 19.9 11.4 356.9 120.0 191.0 17.0 9.7 6.1 9.8 9.3 88.0 149.0 10.1 11.7 735.6 525.0 12.6 373.8 22.3 89.0 110.6 14.2 160.0 1 015.3 24.2 123.1 366.6 8.6 11.2 4.9 1.6 5.9 5.0 299.6 262.1 3.1 2.8 8.8 6.8 688.5 5.7 5.1 281.5 4.8 399.2 23.1 13.5 10.7

Square mile 33.1 832.0 30.0 24.2 20.7 775.3 17.5 159.1 18.4 214.0 17.2 14.6 13.7 7.5 15.5 21.7 10.4 327.8 11.7 28.1 25.0 26.4 48.6 93.1 834.9 49.0 51.5 29.5 944.7 308.6 496.1 44.0 25.2 15.7 25.4 24.0 227.8 385.2 26.1 30.4 1 838.9 1 341.7 32.7 976.1 57.7 222.5 285.8 36.8 426.7 2 628.4 62.7 318.9 952.4 22.3 28.9 12.8 4.1 15.2 12.9 762.7 711.4 8.0 7.2 22.8 17.7 1 767.6 14.7 13.3 740.4 12.3 1 051.3 60.0 34.8 27.7

Square kilometer 4.3 151.7 3.7 3.0 2.7 116.3 2.9 26.2 2.3 26.9 2.3 2.2 3.5 1.4 1.9 2.8 1.7 50.9 1.8 3.4 3.0 3.2 7.8 11.9 104.3 6.0 6.7 3.6 134.2 53.6 73.9 5.8 3.9 2.4 3.7 2.9 30.5 52.8 3.2 3.7 278.7 233.9 4.3 160.0 8.1 37.0 42.6 4.8 59.4 419.7 8.2 45.5 137.8 2.7 7.1 5.0 3.6 3.5 6.4 128.9 118.2 2.9 2.4 3.4 4.9 306.3 5.7 2.4 116.3 4.8 154.1 9.7 5.8 4.1

Square mile 11.2 364.0 9.6 7.8 7.1 294.1 7.4 69.1 6.0 70.0 6.0 5.6 9.0 3.7 5.0 7.3 4.5 124.4 4.6 8.9 7.8 8.3 20.3 31.0 269.8 15.6 17.4 9.3 355.3 137.9 191.9 14.9 10.2 6.2 9.6 7.4 79.1 136.4 8.3 9.6 696.7 597.8 11.2 417.8 21.1 92.5 110.2 12.5 158.3 1 086.4 21.3 118.0 357.9 7.0 18.3 12.8 9.4 9.0 16.7 328.2 320.7 7.4 6.1 8.9 12.6 786.3 14.8 6.2 305.9 12.5 405.7 25.1 15.1 10.5

1 1

1 1 5 1 1 2 1 1 3 1

1 2 1 2 1 2

1 1

1

1

1

5 4 1 3 2 1 4 1 1 1 32 2 11 8

4 3 1 3 2 1 4 2 1 1 32 2 6 3

1 1 1 1

1 1 1

1 1

1

1

15 4 3

13 3 3

11 1

39 314 852 364 1 042 521 852 1 041 522 803 1 709 915 11 965 681 717 2 079 773 2 807 3 566 1 857 1 412

35 810 665 330 995 279 683 … 359 750 1 575 741 12 696 457 561 2 347 654 2 836 2 951 1 405 1 297

25 650 922 999 615 809 361 449 771 648 652 704 5 268 748 418 826 826 1 217 1 490 780 527

22 559 784 801 541 599 352 419 579 629 613 663 5 057 661 308 763 639 1 052 1 349 721 486

15 487 465 500 357 334 249 … 348 429 479 350 4 407 392 226 706 502 912 1 010 480 398

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 29 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 29

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Marinette County Pound village Silver Cliff town Stephenson town Wagner town Wausaukee town Wausaukee village Marquette County Buffalo town Crystal Lake town Douglas town Endeavor village Harris town Mecan town Montello city Montello town Moundville town Neshkoro town † Con. †

1990 434 259 2 288 660 937 656 12 321 792 400 684 316 715 541 1 329 940 457 489 384 470 637 499 1 135 408 480 520 1 125 3 890 3 890 685 615 959 4 12 18 7 21 14 15 33 7 628 19 1 9 14 20 49 63 3 14 275 681 236 659 238 855 088 128 403 623 088 513 612 245 116 958 366 221 973 272

1980 407 267 2 137 624 753 648 11 672 745 332 764 335 657 599 1 273 640 470 370 386 460 720 432 998 419 501 538 1 033 3 373 3 373 … 1 065 964 4 12 19 7 16 13 16 r31 7 r636 16 1 r10 14 21 51 63 3 14 988 612 921 547 649 871 882 928 353 110 295 932 642 095 327 069 308 982 535 930

1970 284 189 2 202 500 497 557 8 865 487 248 603 328 429 397 1 082 531 399 217 385 320 385 453 668 384 322 343 884 2 607 2 607 … 1 122 1 054 4 12 22 7 12 13 15 24 7 717 13 1 10 15 23 58 71 4 17 249 338 582 078 939 247 426 089 424 771 372 928 561 489 576 297 676 649 405 402

1990 171 880 3 786 503 947 333 8 035 342 546 364 123 370 660 695 636 211 483 218 344 356 252 882 268 424 368 493 1 742 1 742 188 177 390 1 5 7 2 7 5 5 14 3 254 715 700 070 642 948 753 784 745 301 207 204

1980 156 733 3 255 425 660 314 7 128 291 429 330 135 355 613 671 507 212 299 180 292 319 242 781 258 428 329 457 1 327 1 327 … 232 378 1 4 7 2 5 4 5 r12 2 r253 000 496 589 290 911 543 946 412 309 537 563 349 1 3 6 2 2 3 4 7 2 246

1970 120 305 1 673 235 378 232 4 675 178 268 266 122 220 296 476 441 147 87 158 178 140 211 476 167 283 193 368 704 704 … 214 762 194 536 965 283 992 755 075 059 237 092

Square kilometers 2.1 277.2 458.1 141.4 200.6 3.7 1 202.9 127.6 93.0 75.6 1.8 80.0 71.3 5.4 88.3 60.1 55.2 6.1 92.3 86.9 2.6 106.0 81.5 90.5 74.8 3.7 945.4 945.4 1.6 .5 3 081.6 5.9 11.4 12.3 7.6 89.9 15.5 14.5 29.9 8.3 250.4 74.1 13.6 6.6 4.1 12.4 34.3 29.5 2.9 5.5 2 352.9 91.4 91.3 93.4 1.9 88.3 92.4 93.0 91.5 90.6 1.9 91.5 83.0 92.6 90.4 178.4 1.2 93.4 2.7 92.6 2.1

Square miles .8 107.0 176.9 54.6 77.5 1.4 464.5 49.3 35.9 29.2 .7 30.9 27.5 2.1 34.1 23.2 21.3 2.4 35.6 33.6 1.0 40.9 31.5 34.9 28.9 1.4 365.0 365.0 .6 .2 1 189.8 2.3 4.4 4.8 2.9 34.7 6.0 5.6 11.6 3.2 96.7 28.6 5.3 2.5 1.6 4.8 13.2 11.4 1.1 2.1 908.5 35.3 35.3 36.1 .7 34.1 35.7 35.9 35.3 35.0 .7 35.3 32.1 35.8 34.9 68.9 .5 36.1 1.0 35.7 .8

Square kilometers 2.1 275.5 439.5 137.8 196.2 3.7 1 179.8 125.7 91.4 74.7 1.7 79.2 71.1 4.7 84.4 59.4 54.3 5.9 91.9 86.5 2.5 98.7 80.8 89.6 73.4 3.7 927.2 927.2 1.6 .5 625.6 5.9 11.4 12.3 7.6 89.7 15.0 14.5 29.9 8.3 248.5 74.1 13.2 6.6 4.1 12.4 34.3 29.3 2.9 5.5 2 333.4 91.3 91.0 91.9 1.9 88.3 92.3 92.6 91.4 90.6 1.9 91.4 78.9 92.6 88.3 177.3 1.2 92.1 2.7 92.4 2.1

Square miles .8 106.4 169.7 53.2 75.7 1.4 455.5 48.5 35.3 28.8 .6 30.6 27.5 1.8 32.6 22.9 21.0 2.3 35.5 33.4 1.0 38.1 31.2 34.6 28.4 1.4 358.0 358.0 .6 .2 241.6 2.3 4.4 4.8 2.9 34.6 5.8 5.6 11.5 3.2 96.0 28.6 5.1 2.5 1.6 4.8 13.2 11.3 1.1 2.1 900.9 35.3 35.1 35.5 .7 34.1 35.6 35.7 35.3 35.0 .7 35.3 30.5 35.8 34.1 68.5 .5 35.6 1.0 35.7 .8

Square kilometer 206.7 .9 5.2 4.8 4.8 177.3 10.4 6.3 4.4 9.2 185.9 9.0 7.6 282.8 11.1 7.7 9.0 65.1 5.1 7.4 199.6 11.5 5.0 5.4 7.1 304.1 4.2 4.2 428.1 1 230.0 1 533.4 793.4 1 073.3 1 517.0 952.4 243.6 939.2 1 043.3 1 117.2 918.4 2 527.5 263.3 122.1 400.8 442.9 690.2 439.2 157.7 370.0 594.9 15.7 5.7 13.4 13.6 410.5 6.6 6.1 3.7 6.1 9.0 238.4 3.3 19.1 8.1 8.7 6.4 95.8 1.7 208.9 7.0 77.1

Square mile 542.5 2.4 13.5 12.4 12.4 468.6 27.0 16.3 11.3 23.8 526.7 23.4 19.7 738.3 28.8 20.0 23.3 167.0 13.2 19.1 499.0 29.8 13.1 13.9 18.3 803.6 10.9 10.9 1 141.7 3 075.0 3 2 2 3 2 2 2 2 2 6 970.5 035.2 780.9 887.3 495.9 631.6 429.0 701.4 904.6 382.2 542.6 682.3 316.1 698.0 822.5 366.3 739.8 594.8 611.8 796.2

Square kilometer 81.4 3.2 8.6 3.7 4.8 90.0 6.8 2.7 6.0 4.9 72.4 4.7 9.3 147.9 7.5 3.6 8.9 36.9 3.7 4.1 100.8 8.9 3.3 4.7 5.0 133.2 1.9 1.9 117.5 354.0 624.5 288.1 444.7 621.3 387.9 86.4 385.6 396.2 478.3 386.4 1 023.0 98.0 44.2 603.0 1 634.4 679.7 591.5 938.6 713.4 1 008.4 6.1 2.0 4.7 5.5 192.6 2.3 2.6 1.7 2.4 2.5 105.3 1.1 6.8 2.8 3.6 2.5 35.0 .7 84.4 2.5 38.1

Square mile 213.8 8.3 22.3 9.5 12.5 237.9 17.6 7.1 15.5 12.6 205.0 12.1 24.0 386.1 19.5 9.2 23.0 94.8 9.7 10.7 252.0 23.1 8.6 12.3 13.0 352.1 4.9 4.9 313.3 885.0 1 617.2 739.1 1 152.3 1 592.1 1 016.6 224.1 997.2 1 025.9 1 243.6 1 002.2 2 648.0 254.0 114.3 592.0 188.1 755.8 537.0 433.8 880.9 641.0 15.7 5.1 12.3 14.3 522.9 5.9 6.8 4.4 6.3 6.4 285.7 2.8 17.6 7.3 9.3 6.5 84.0 1.9 228.0 6.4 100.0

†

†

† † †

Neshkoro village Newton town Oxford town † Oxford village † Packwaukee town Shields town Springfield town Westfield town Westfield village Menominee County Menominee town Keshena CDP Neopit CDP † Milwaukee County Bayside village (pt.) Brown Deer village Cudahy city Fox Point village Franklin city Glendale city Greendale village Greenfield city † Hales Corners village Milwaukee city (pt.) Oak Creek city River Hills village St. Francis city Shorewood village South Milwaukee city Wauwatosa city West Allis city West Milwaukee village Whitefish Bay village

†

7 263 583 3 980 6 701 8 428 20 289 27 502 2 069 5 546 14 135 179 432 508 366 202 241 157 221 225 200 98 536 261 316 448 42 66 228 229 80

r3 6 7 19 26 1 5

5 706 545 882 518 458 613 282 811 589

3 671 443 2 992 6 017 6 762 18 375 23 973 1 911 5 430 10 168 104 334 250 318 172 183 92 181 182 188 58 383 185 302 337 42 45 182 201 …

1 3 1 1 2 1 2

3 8 4 3 5 3 6

1 4 1 1 2 1 2

† Monroe County Adrian town Angelo town Byron town † Cashton village † Clifton town Glendale town Grant town Greenfield town Jefferson town † Kendall village Lafayette town La Grange town Leon town Lincoln town Little Falls town Melvina village New Lyme town Norwalk village Oakdale town Oakdale village †

36 633 520 1 219 1 250 780 587 564 346 556 815 453 298 1 507 746 765 1 137 115 156 564 643 162

35 074 403 1 189 1 162 827 610 558 312 536 710 486 256 1 728 751 644 1 228 117 123 517 759 …

31 610 405 996 814 824 612 594 218 479 756 468 224 2 224 641 814 1 010 116 110 432 659 …

12 741 132 392 446 353 184 217 133 213 202 211 67 556 240 275 420 43 55 231 275 …

40.7 14.7 34.7 35.2 1 114.3 17.2 15.8 9.7 15.8 23.3 647.1 8.4 49.4 20.8 22.4 16.6 230.0 4.4 564.0 18.0 202.5

† †

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 30 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

30 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Monroe County † Con. Portland town Ridgeville town † Scott town Sheldon town Sparta city † Sparta town † Tomah city † Tomah town † Warrens village Wellington town Wells town Wilton town Wilton village Wyeville village † Oconto County † Abrams town Armstrong town Bagley town Brazeau town Breed town Chase town Doty town Gillett city † Gillett town † How town Lakewood town Lena town Lena village Little River town Little Suamico town Maple Valley town Morgan town Oconto city Oconto town Oconto Falls city † Oconto Falls town † Pensaukee town Riverview town Spruce town Stiles town Suring village Townsend town Underhill town Oneida County † Cassian town Crescent town † Enterprise town Hazelhurst town Lake Tomahawk town Little Rice town Lynne town Minocqua town Monico town Newbold town Nokomis town Pelican town † Piehl town Pine Lake town † Rhinelander city † Schoepke town Stella town Sugar Camp town Three Lakes town Woodboro town Woodruff town Outagamie County Appleton city (pt.) Bear Creek village Black Creek town Black Creek village Bovina town † Buchanan town † †

1990 733 497 120 521 788 385 570 076 343 566 442 777 478 154

1980 755 530 117 524 934 317 204 089 300 616 474 670 465 163

1970 695 590 78 540 6 258 1 983 5 647 969 … 633 423 679 516 203 25 553 884 530 209 924 402 1 026 93 1 288 936 565 469 877 569 859 1 138 679 670 4 667 934 2 517 895 863 321 818 845 499 463 613 24 427 372 1 441 213 403 434 99 220 2 343 306 1 234 508 2 576 64 1 853 8 218 358 299 816 1 376 287 1 007 119 398 52 976 520 968 921 837 1 987

1990 261 174 55 166 3 266 782 3 064 364 117 196 156 213 222 64 18 832 535 1 191 228 1 377 535 449 583 628 412 252 1 177 294 254 429 978 327 285 1 841 387 1 114 411 482 1 326 553 566 282 1 489 447 25 173 941 1 014 414 1 013 942 423 264 3 716 185 2 006 920 1 679 77 1 287 3 293 577 316 1 269 2 935 592 1 310 51 923 22 088 154 369 433 345 749

1980 254 156 48 178 2 839 687 2 674 339 104 197 143 198 216 63 16 940 396 1 064 223 1 109 462 380 598 612 386 216 1 055 282 228 421 723 306 249 1 833 356 977 380 461 1 180 508 522 278 1 318 417 23 157 828 895 369 928 874 396 260 3 642 167 1 774 862 1 766 60 1 262 3 184 622 258 920 2 388 602 1 100 r43 893 r19 750 144 319 407 260 443

1970 214 175 31 155 2 248 512 2 088 275 … 181 114 170 200 66 11 947 294 673 130 742 218 268 253 510 299 174 614 232 177 348 425 221 190 1 701 300 776 298 337 683 402 308 194 886 294 14 977 467 596 254 465 514 156 171 2 277 148 966 443 1 078 41 773 2 815 397 158 650 1 732 305 571 33 643 16 296 148 227 300 217 414

Square kilometers 93.6 88.7 94.7 91.5 12.9 127.9 17.6 82.5 1.5 91.7 92.5 90.3 2.4 1.5 2 976.4 97.3 188.3 92.5 185.3 92.7 91.9 140.9 3.5 89.0 90.8 187.6 86.5 2.3 133.5 96.9 91.7 92.3 19.1 95.0 6.9 85.5 92.3 185.8 92.5 91.2 2.6 110.0 92.2 3 201.5 177.1 90.1 152.6 91.4 101.6 190.8 186.9 434.8 141.3 240.9 95.8 140.8 98.4 116.9 13.6 131.0 96.6 253.8 258.8 96.3 92.1 1 669.1 39.1 2.4 90.8 2.7 87.5 48.7

Square miles 36.1 34.2 36.6 35.3 5.0 49.4 6.8 31.8 .6 35.4 35.7 34.9 .9 .6 1 149.2 37.6 72.7 35.7 71.6 35.8 35.5 54.4 1.3 34.3 35.1 72.4 33.4 .9 51.5 37.4 35.4 35.6 7.4 36.7 2.7 33.0 35.6 71.7 35.7 35.2 1.0 42.5 35.6 1 236.1 68.4 34.8 58.9 35.3 39.2 73.7 72.1 167.9 54.6 93.0 37.0 54.4 38.0 45.2 5.2 50.6 37.3 98.0 99.9 37.2 35.6 644.5 15.1 .9 35.1 1.0 33.8 18.8

Square kilometers 93.6 88.6 87.9 91.5 12.7 127.9 16.6 82.5 1.4 91.7 92.5 90.3 2.4 1.5 2 585.1 97.0 185.4 90.2 177.5 92.1 91.7 135.1 3.4 86.6 90.5 183.4 86.5 2.3 133.5 96.7 91.4 92.1 17.8 94.0 6.3 84.1 92.0 180.6 91.1 89.0 2.6 101.0 90.9 2 913.0 168.4 81.6 146.8 81.3 88.9 176.4 183.0 390.1 140.1 204.8 86.5 133.8 96.8 105.5 13.3 119.3 91.5 230.1 211.2 89.8 73.9 1 658.6 37.9 2.4 90.8 2.7 87.3 47.6

Square miles 36.1 34.2 33.9 35.3 4.9 49.4 6.4 31.8 .5 35.4 35.7 34.9 .9 .6 998.1 37.5 71.6 34.8 68.5 35.6 35.4 52.2 1.3 33.4 34.9 70.8 33.4 .9 51.5 37.3 35.3 35.6 6.9 36.3 2.4 32.5 35.5 69.7 35.2 34.4 1.0 39.0 35.1 1 124.7 65.0 31.5 56.7 31.4 34.3 68.1 70.6 150.6 54.1 79.1 33.4 51.7 37.4 40.7 5.1 46.1 35.3 88.8 81.5 34.7 28.5 640.4 14.6 .9 35.1 1.0 33.7 18.4

Square kilometer 7.8 5.6 1.4 5.7 613.2 18.6 456.0 13.0 245.0 6.2 4.8 8.6 199.2 102.7 11.7 13.9 3.9 3.0 6.6 6.1 15.0 1.4 383.2 11.8 6.2 3.3 9.1 256.5 7.5 27.3 7.5 8.8 251.3 10.6 410.2 12.1 10.6 2.7 8.5 14.0 240.8 7.1 7.3 10.9 4.0 21.9 1.8 11.4 9.6 1.1 .9 8.9 2.1 11.1 11.5 23.9 .7 23.2 558.4 3.2 5.7 6.0 9.5 7.8 22.1 84.7 1 482.2 174.2 12.9 426.7 11.0 52.2

Square mile 20.3 14.5 3.5 14.8 1 589.4 48.3 1 182.8 33.8 686.0 16.0 12.4 22.3 531.1 256.7 30.3 35.9 10.2 7.8 17.1 15.8 38.8 3.5 1 002.3 30.7 16.2 8.6 23.7 655.6 19.5 70.7 19.5 22.9 648.4 27.5 1 076.7 31.2 27.6 6.9 22.0 36.1 626.0 18.3 19.0 28.2 10.3 56.8 4.8 29.5 24.8 2.9 2.2 23.1 5.4 28.8 29.9 61.9 1.8 60.1 1 456.3 8.2 14.9 15.5 24.6 20.3 57.3 219.4 3 847.7 464.4 33.3 1 152.0 28.4 135.0

Square kilometer 2.8 2.0 .6 1.8 257.2 6.1 184.6 4.4 83.6 2.1 1.7 2.4 92.5 42.7 7.3 5.5 6.4 2.5 7.8 5.8 4.9 4.3 184.7 4.8 2.8 6.4 3.4 110.4 3.2 10.1 3.6 3.1 103.4 4.1 176.8 4.9 5.2 7.3 6.1 6.4 108.5 14.7 4.9 8.6 5.6 12.4 2.8 12.5 10.6 2.4 1.4 9.5 1.3 9.8 10.6 12.5 .8 12.2 247.6 4.8 3.5 5.5 13.9 6.6 17.7 31.3 582.8 64.2 4.1 160.4 4.0 15.7

Square mile 7.2 5.1 1.6 4.7 666.5 15.8 478.8 11.4 234.0 5.5 4.4 6.1 246.7 106.7 18.9 14.3 16.6 6.6 20.1 15.0 12.7 11.2 483.1 12.3 7.2 16.6 8.8 282.2 8.3 26.2 9.3 8.0 266.8 10.7 464.2 12.6 13.6 19.0 15.7 16.5 282.0 38.2 12.7 22.4 14.5 32.2 7.3 32.3 27.5 6.2 3.7 24.7 3.4 25.4 27.5 32.5 2.1 31.6 645.7 12.5 9.0 14.3 36.0 17.1 46.0 81.1 1 512.9 171.1 10.5 433.0 10.2 40.7

7 2 7 1

6 2 7 1

30 226 1 347 730 271 1 169 564 1 375 184 1 303 1 026 564 607 790 590 1 003 2 637 690 815 4 474 999 2 584 1 014 979 483 776 1 243 626 715 668 31 679 668 1 790 271 927 851 196 157 3 486 294 2 281 999 3 202 66 2 445 7 427 378 525 1 375 2 004 703 1 634 140 510 56 177 418 1 169 1 152 957 2 484

28 947 1 181 735 272 1 039 563 1 256 154 1 356 1 059 592 516 851 585 940 1 969 715 726 4 505 937 2 500 1 033 1 000 417 805 1 261 581 735 664 31 216 585 1 702 277 780 738 172 185 3 328 291 2 171 883 3 387 94 2 656 7 873 399 489 1 337 1 864 547 1 458 r128 730 r53 424 454 1 149 1 097 822 1 742

†

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 31 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 31

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Outagamie County † Con. Center town Cicero town † Combined Locks village † Dale town Deer Creek town Ellington town † Freedom town Grand Chute town † Greenville town Hortonia town † Hortonville village † Kaukauna city † Kaukauna town † Kimberly village † Liberty town Little Chute village † Maine town Maple Creek town New London city (pt.) † Nichols village Oneida town Oneida CDP (pt.) Osborn town † Seymour city † Seymour town † Shiocton village Vandenbroek town † Ozaukee County † Bayside village (pt.) Belgium town † Belgium village † Cedarburg city † Cedarburg town † Fredonia town † Fredonia village † Grafton town † Grafton village † Mequon city † Newburg village (pt.) † Port Washington city † Port Washington town † Saukville town † Saukville village † Thiensville village Pepin County † Albany town Durand city † Durand town † Frankfort town Lima town Pepin town Pepin village Stockholm town Stockholm village Waterville town Waubeek town Pierce County † Bay City village Clifton town Diamond Bluff town Ellsworth town † Ellsworth village † Elmwood village El Paso town Gilman town † Hartland town Isabelle town Maiden Rock town Maiden Rock village Martell town Oak Grove town Plum City village † † † 2 1 2 1 2 4 14 3 2 11 5 9 1 3 2 1 1

1990 716 126 190 818 724 099 114 490 806 883 029 982 939 406 702 207 791 695 337 254 858 393 784 782 217 913 291 2 1 2 1

1980 570 062 573 620 826 865 746 529 310 869 016 310 998 881 609 907 816 652 269 267 499 … 786 530 189 805 538 1 1 2 1 1 2 7 2 1 11 6 5 1 2 2 1 1

1970 853 079 771 405 855 696 926 089 675 804 524 308 961 131 544 522 725 586 368 207 624 … 724 194 135 830 653

1990 850 352 738 606 253 671 342 619 274 331 710 454 280 069 242 232 288 215 582 92 151 132 249 059 360 363 403

1980 730 310 691 506 243 542 080 312 995 284 676 009 266 934 192 536 242 198 510 99 960 … 224 975 337 298 421

1970 430 252 600 391 216 422 715 806 676 217 461 271 200 552 144 435 185 159 455 64 580 … 171 724 280 242 393

Square kilometers 92.4 91.9 3.6 78.9 92.0 90.7 92.6 71.5 92.8 50.8 7.0 13.2 47.4 4.8 79.2 9.9 96.9 57.9 4.9 2.2 157.6 11.0 43.9 6.5 79.0 4.2 26.2 2 891.2 .2 96.4 2.6 9.3 67.8 90.6 3.7 57.9 7.5 121.3 .2 9.0 55.7 87.8 6.3 2.9 644.1 93.3 4.3 49.5 80.2 93.0 136.2 1.8 56.3 2.5 95.1 31.9 1 532.3 1.4 92.2 47.5 83.5 9.3 3.8 90.8 87.9 93.3 40.5 114.1 2.9 92.8 103.1 2.5

Square miles 35.7 35.5 1.4 30.5 35.5 35.0 35.8 27.6 35.8 19.6 2.7 5.1 18.3 1.9 30.6 3.8 37.4 22.3 1.9 .9 60.8 4.2 16.9 2.5 30.5 1.6 10.1 1 116.3 .1 37.2 1.0 3.6 26.2 35.0 1.4 22.4 2.9 46.8 .1 3.5 21.5 33.9 2.4 1.1 248.7 36.0 1.7 19.1 31.0 35.9 52.6 .7 21.7 1.0 36.7 12.3 591.6 .5 35.6 18.3 32.2 3.6 1.5 35.1 33.9 36.0 15.7 44.1 1.1 35.8 39.8 1.0

Square kilometers 92.4 91.9 3.1 78.8 91.9 90.3 92.6 71.1 92.7 50.3 6.8 12.2 46.6 4.4 78.9 9.1 94.9 57.5 4.8 2.2 157.6 11.0 43.9 6.5 79.0 4.2 26.2 600.8 .2 93.7 2.6 9.2 67.2 89.8 3.7 53.8 7.4 119.6 .2 9.0 49.1 86.1 6.2 2.8 601.7 93.3 4.1 48.0 77.9 93.0 117.7 1.8 39.8 2.4 93.8 29.8 1 493.2 1.3 89.0 43.2 83.5 9.3 3.8 90.8 87.9 93.3 27.0 104.5 2.9 92.8 101.7 2.5

Square miles 35.7 35.5 1.2 30.4 35.5 34.9 35.8 27.5 35.8 19.4 2.6 4.7 18.0 1.7 30.5 3.5 36.6 22.2 1.9 .9 60.8 4.2 16.9 2.5 30.5 1.6 10.1 232.0 .1 36.2 1.0 3.6 25.9 34.7 1.4 20.8 2.9 46.2 .1 3.5 19.0 33.2 2.4 1.1 232.3 36.0 1.6 18.5 30.1 35.9 45.4 .7 15.4 .9 36.2 11.5 576.5 .5 34.4 16.7 32.2 3.6 1.5 35.1 33.9 36.0 10.4 40.3 1.1 35.8 39.3 1.0

Square kilometer 29.4 12.3 706.5 23.1 7.9 23.2 44.4 203.8 41.1 17.6 298.4 982.1 20.2 1 228.6 8.9 1 011.8 8.3 12.1 278.5 115.5 24.5 35.7 17.9 428.0 15.4 217.4 49.3 121.2 540.0 15.0 356.9 075.5 79.4 22.8 421.1 69.6 262.2 157.9 110.0 037.6 30.1 20.4 596.0 178.9 11.8 5.4 488.5 12.6 4.1 7.0 5.9 485.0 4.3 37.1 9.3 10.6 21.9 444.6 12.6 11.4 12.3 291.0 203.9 7.1 8.7 8.2 7.3 6.2 50.3 9.3 11.0 213.6

Square mile 76.1 31.7 1 825.0 59.8 20.4 60.1 114.9 526.9 106.3 45.5 780.4 2 549.4 52.2 3 180.0 23.0 2 630.6 21.6 31.3 703.7 282.2 63.5 93.6 46.4 1 112.8 39.9 570.6 127.8 313.9 1 080.0 38.8 928.0 2 748.6 205.9 58.9 1 112.9 180.0 3 220.7 408.8 220.0 2 668.0 77.9 52.8 1 539.6 3 000.9 30.6 14.1 1 251.9 32.6 10.7 18.1 15.3 1 247.1 11.2 98.9 24.2 27.5 56.8 1 156.0 32.5 29.5 32.0 751.7 516.7 18.3 22.5 21.3 18.8 16.1 132.7 24.2 28.5 534.0

Square kilometer 9.2 3.8 238.1 7.7 2.8 7.4 14.5 79.0 13.7 6.6 104.4 365.1 6.0 470.2 3.1 355.2 3.0 3.7 121.3 41.8 7.3 12.0 5.7 162.9 4.6 86.4 15.4 44.1 190.0 6.1 134.2 438.7 24.6 7.3 138.4 25.0 467.2 54.1 40.0 395.8 10.5 7.0 205.3 507.9 4.9 1.7 203.7 4.2 1.8 2.3 3.0 214.4 2.1 33.3 3.6 3.9 7.7 169.2 4.2 4.4 4.1 114.6 88.2 2.3 3.1 3.1 3.0 2.4 29.7 3.3 3.4 88.8

Square mile 23.8 9.9 615.0 19.9 7.1 19.2 37.5 204.3 35.6 17.1 273.1 947.7 15.6 1 217.1 7.9 923.4 7.9 9.7 306.3 102.2 18.9 31.4 14.7 423.6 11.8 226.9 39.9 114.1 380.0 15.8 349.0 121.1 63.9 19.0 365.7 64.7 192.1 140.0 80.0 017.7 27.3 18.3 530.4 292.7 12.6 4.5 521.9 10.9 4.7 6.0 7.8 551.4 5.5 88.9 9.4 10.1 20.0 440.0 11.0 11.3 10.6 296.1 223.3 6.0 8.1 7.9 7.8 6.2 78.2 8.5 8.8 222.0

1 3 r9 3 2 11 5 7 1 3 2 1 1

1 5 1

1 r3

1

4 2 3

4 1 2

3 1 1

1 1

72 831 108 1 405 928 9 895 5 334 2 043 1 558 3 745 9 340 18 885 22 9 338 1 480 1 754 3 695 3 301 7 107 507 2 003 604 322 649 696 873 173 89 875 316 32 765 578 1 119 492 1 030 2 706 775 641 762 766 196 649 146 866 1 120 534

66 981 112 1 424 892 9 005 5 244 2 144 1 437 3 588 8 381 16 193 95 8 612 1 436 1 583 3 494 3 341 7 477 586 2 047 591 397 631 749 890 168 104 1 075 239 31 149 543 975 458 1 408 2 143 885 689 914 821 190 641 172 864 936 505

54 461 123 1 625 809 7 697 3 774 1 746 1 045 3 127 5 998 12 150 … 8 752 1 528 1 516 1 389 3 182 7 319 565 2 103 501 409 679 740 747 211 99 1 048 217 26 652 317 612 355 1 260 1 983 737 686 842 771 168 563 172 733 783 451

26 482 38 573 349 4 036 1 654 658 512 1 346 3 457 6 470 8 3 562 518 606 1 273 1 422 2 919 163 835 202 141 215 355 386 85 80 341 116 11 536 220 378 188 340 1 066 335 210 276 286 81 249 86 306 347 222

22 520 40 566 302 3 332 1 542 605 448 1 171 2 842 5 168 43 3 027 459 514 1 119 1 342 2 881 164 845 187 152 189 332 384 78 85 387 78 10 354 205 331 160 458 830 340 207 304 283 66 231 89 300 262 188

15 351 37 534 222 2 281 974 453 297 871 1 656 3 283 … 2 514 433 442 445 909 2 357 129 701 132 121 161 297 294 79 76 310 57 7 826 119 185 119 370 664 289 179 241 225 44 206 90 229 184 158

1

1

1

1

1

1

1

1

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 32 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

32 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Pierce County † Con. Prescott city River Falls city (pt.) † River Falls town † Rock Elm town Salem town Spring Lake town † Spring Valley village (pt.) Trenton town Trimbelle town Union town † Polk County † Alden town Amery city † Apple River town Balsam Lake town Balsam Lake village Beaver town Black Brook town Bone Lake town Centuria village Clam Falls town Clayton town Clayton village Clear Lake town Clear Lake village Dresser village Eureka town Farmington town Frederic village Garfield town Georgetown town Johnstown town Laketown town Lincoln town † Lorain town Luck town † Luck village † McKinley town Milltown town Milltown village Osceola town † Osceola village † St. Croix Falls city St. Croix Falls town Sterling town Turtle Lake village (pt.) West Sweden town † Portage County † Alban town Almond town Almond village Amherst town † Amherst village † Amherst Junction village Belmont town Buena Vista town Carson town † Dewey town Eau Pleine town Grant town Hull town † Junction City village Lanark town Linwood town † Milladore village (pt.) Nelsonville village New Hope town Park Ridge village

1990 3 243 8 841 1 944 519 514 565 1 051 1 583 1 482 643 34 773 2 133 2 657 815 1 067 792 663 964 503 790 596 780 450 744 932 614 201 267 124 107 780

1980 2 654 7 521 2 168 654 616 613 982 1 624 1 420 753 32 351 1 862 2 404 819 960 749 755 949 466 711 614 789 425 777 899 670 135 195 039 010 746

1970 2 331 6 247 1 642 638 498 611 995 1 286 1 225 746 26 666 1 406 2 126 544 631 648 641 775 416 632 522 713 306 793 721 533 1 043 1 156 908 768 526 328 725 1 198 275 663 848 297 691 634 769 1 152 1 425 783 379 … 691 47 541 606 529 440 936 585 141 387 827 1 295 575 784 1 195 3 124 396 578 773 … 152 492 817

1990 1 195 2 810 644 194 176 193 431 610 484 209 18 562 1 056 1 132 570 906 660 419 361 331 322 372 371 184 263 430 259 523 414 559 679 1 162 350 420 1 056 153 381 501 201 745 375 582 853 735 486 448 1 302 22 910 466 240 201 493 340 108 298 378 458 293 376 583 1 917 197 471 363 – 70 326 222

1980 940 2 159 742 203 184 198 400 607 439 228 16 228 942 1 027 488 730 556 373 336 307 302 276 340 164 256 396 258 446 389 485 565 1 025 321 373 868 143 392 428 186 655 365 469 668 642 410 349 – 298 19 901 400 229 221 449 301 112 291 321 467 256 312 485 1 632 199 422 357 12 71 258 218

1970 673 1 547 477 180 151 179 332 462 327 196 11 799 641 775 332 529 357 287 232 236 226 214 269 99 219 276 174 358 276 341 383 701 243 314 644 110 308 350 132 530 236 308 417 490 323 216 … 253 13 808 313 230 188 342 229 60 161 250 373 175 269 312 842 135 239 225 … 58 219 223

Square kilometers 6.1 7.4 116.7 92.8 91.6 81.4 7.9 78.1 93.7 90.9 2 476.9 152.9 9.2 93.3 83.5 8.5 96.7 90.6 91.7 4.0 91.7 87.6 8.4 89.6 6.9 4.4 141.8 117.0 3.9 91.0 91.1 96.1 92.6 99.4 95.9 85.0 5.9 96.2 86.7 4.6 96.9 7.9 7.8 83.6 166.9 .1 87.5 2 131.1 93.6 112.0 2.7 100.1 3.1 2.8 93.9 158.6 142.4 121.8 149.5 184.5 85.3 3.1 93.4 87.5 – 2.7 94.2 .6

Square miles 2.4 2.8 45.1 35.8 35.4 31.4 3.1 30.2 36.2 35.1 956.3 59.0 3.5 36.0 32.2 3.3 37.3 35.0 35.4 1.5 35.4 33.8 3.3 34.6 2.7 1.7 54.7 45.2 1.5 35.1 35.2 37.1 35.8 38.4 37.0 32.8 2.3 37.1 33.5 1.8 37.4 3.0 3.0 32.3 64.4 – 33.8 822.8 36.1 43.2 1.0 38.6 1.2 1.1 36.2 61.2 55.0 47.0 57.7 71.3 32.9 1.2 36.1 33.8 – 1.0 36.4 .2

Square kilometers 5.2 7.3 116.7 92.8 91.6 81.4 7.7 72.8 93.7 90.4 2 375.9 145.2 7.7 88.0 77.0 5.2 92.7 88.8 86.9 4.0 89.9 86.0 8.1 89.4 6.9 4.4 139.5 114.6 3.8 85.4 78.6 92.6 88.7 92.5 95.5 83.6 4.3 93.3 80.9 4.6 92.3 7.6 7.5 81.2 164.2 .1 84.8 2 088.5 92.1 111.7 2.7 98.7 3.0 2.8 93.4 158.5 139.6 117.3 143.7 184.5 76.0 3.1 92.9 82.7 – 2.6 92.9 .6

Square miles 2.0 2.8 45.1 35.8 35.4 31.4 3.0 28.1 36.2 34.9 917.3 56.1 3.0 34.0 29.7 2.0 35.8 34.3 33.6 1.5 34.7 33.2 3.1 34.5 2.6 1.7 53.9 44.2 1.5 33.0 30.3 35.8 34.2 35.7 36.9 32.3 1.7 36.0 31.2 1.8 35.6 2.9 2.9 31.4 63.4 – 32.7 806.4 35.5 43.1 1.0 38.1 1.2 1.1 36.1 61.2 53.9 45.3 55.5 71.2 29.4 1.2 35.9 31.9 – 1.0 35.9 .2

Square kilometer 623.7 1 211.1 16.7 5.6 5.6 6.9 136.5 21.7 15.8 7.1 14.6 14.7 345.1 9.3 13.9 152.3 7.2 10.9 5.8 197.5 6.6 9.1 55.6 8.3 135.1 139.5 8.6 11.1 295.8 13.0 9.9 4.4 10.4 19.8 3.1 10.5 237.7 3.5 11.7 170.9 14.5 273.0 218.7 12.7 3.6 60.0 8.0 29.4 9.3 5.3 168.5 13.5 264.0 96.1 5.8 7.4 9.5 7.2 6.6 9.1 73.1 161.9 12.4 12.5 – 65.8 7.5 910.0

Square mile 1 621.5 3 157.5 43.1 14.5 14.5 18.0 350.3 56.3 40.9 18.4 37.9 38.0 885.7 24.0 35.9 396.0 18.5 28.1 15.0 526.7 17.2 23.5 145.2 21.6 358.5 361.2 22.3 28.7 749.3 33.5 25.7 11.5 26.9 51.4 8.1 27.2 601.2 9.1 30.4 436.7 37.6 715.5 565.5 32.9 9.3 – 20.9 76.1 24.2 13.7 455.0 35.0 660.0 244.5 15.0 19.1 24.6 18.7 17.0 23.5 189.1 418.3 32.1 32.4 – 171.0 19.3 2 730.0

Square kilometer 229.8 384.9 5.5 2.1 1.9 2.4 56.0 8.4 5.2 2.3 7.8 7.3 147.0 6.5 11.8 126.9 4.5 4.1 3.8 80.5 4.1 4.3 22.7 2.9 62.3 58.9 3.7 3.6 147.1 8.0 14.8 3.8 4.7 11.4 1.6 4.6 116.5 2.2 9.2 81.5 6.3 112.2 98.0 6.0 2.7 10.0 3.6 11.0 5.1 2.1 74.4 5.0 113.3 38.6 3.2 2.4 3.3 2.5 2.6 3.2 25.2 63.5 5.1 4.4 – 26.9 3.5 370.0

Square mile 597.5 1 003.6 14.3 5.4 5.0 6.1 143.7 21.7 13.4 6.0 20.2 18.8 377.3 16.8 30.5 330.0 11.7 10.5 9.9 214.7 10.7 11.2 59.4 7.6 165.4 152.4 9.7 9.4 372.7 20.6 38.3 9.8 12.3 29.6 4.1 11.8 294.7 5.6 23.9 208.3 16.3 294.1 253.4 15.5 7.1 – 9.2 28.4 13.1 5.6 201.0 12.9 283.3 98.2 8.3 6.2 8.5 6.5 6.8 8.2 65.2 164.2 13.1 11.4 – 70.0 9.1 1 110.0

†

†

† † † 1 1 1 1

1 1 1 1

410 921 1 835 299 880 1 022 327 949 786 1 337 2 075 1 640 1 034 591 6 682 61 405 860 590 455 1 335 792 269 540 1 170 1 327 849 944 1 673 5 559 502 1 154 1 035 – 171 694 546

401 909 1 683 280 863 997 337 943 732 1 066 1 581 1 497 873 497 – 718 57 420 768 624 477 1 215 701 225 496 1 023 1 441 803 963 1 593 5 122 523 1 043 1 082 10 199 625 643

†

†

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 33 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 33

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Portage County † Con. Pine Grove town Plover town † Plover village † Rosholt village Sharon town Stevens Point city † Stockton town † Whiting village † Price County † Catawba town Catawba village Eisenstein town Elk town Emery town Fifield town Flambeau town Georgetown town Hackett town Harmony town Hill town Kennan town Kennan village Knox town Lake town † Ogema town Park Falls city † Phillips city † Prentice town † Prentice village † Spirit town Worcester town † Racine County † Burlington city (pt.) † Burlington town † Bohners Lake CDP Browns Lake CDP Caledonia town † Dover town Eagle Lake CDP Elmwood Park village Mount Pleasant town † North Bay village Norway town Wind Lake CDP Racine city † Raymond town Rochester town Rochester village Sturtevant village † Union Grove village † Waterford town † Waterford North CDP Waterford village † Wind Point village Yorkville town † Richland County † Akan town Bloom town Boaz village Buena Vista town † Cazenovia village (pt.) Dayton town Eagle town Forest town Henrietta town Ithaca town Lone Rock village † Marshall town Orion town Richland town † Richland Center city † Richwood town Rockbridge town

1990 949 2 223 8 176 512 1 742 23 006 2 494 1 838 15 600 276 178 679 1 059 322 863 459 195 214 203 360 330 169 420 1 333 860 3 104 1 592 486 571 345 1 582 175 8 5 1 1 20 3 1 20 5 3 84 3 1 3 3 4 1 2 1 2 034 851 833 553 725 999 631 196 534 084 246 493 748 298 243 844 978 803 669 255 604 431 941 901

1980 762 2 330 5 310 520 1 694 22 970 2 208 2 050 15 788 319 205 728 996 308 805 389 166 179 268 349 387 194 542 1 369 850 3 192 1 522 547 605 379 1 489 173 8 5 1 1 20 3 19 4 85 3 1 4 3 3 2 1 3 132 385 629 507 648 940 419 … 483 340 219 619 … 725 610 478 746 130 517 984 … 051 695 162

1970 649 3 692 … 466 1 304 23 479 1 537 1 782 14 520 338 215 653 636 288 763 299 183 190 235 293 426 167 539 1 473 821 2 953 1 511 463 519 342 1 213 170 7 4 1 1 16 3 16 4 95 3 1 3 2 3 1 1 3 838 479 963 417 669 748 780 … 456 368 263 620 … 162 735 019 436 376 703 483 … 922 251 074

1990 350 784 2 978 213 666 8 627 839 653 9 052 131 83 483 843 191 742 374 88 142 121 194 173 71 240 810 439 1 308 757 299 246 206 1 111 66 945 3 422 2 528 792 833 7 251 1 233 578 193 8 000 94 1 982 1 411 33 156 1 102 636 346 1 337 1 321 1 661 660 947 738 998 7 325 197 232 54 591 133 272 242 151 276 234 288 234 279 467 2 290 271 263

1980 287 788 1 805 218 571 7 874 710 635 8 727 142 79 448 817 170 708 375 74 132 118 170 178 73 270 773 432 1 274 726 285 228 258 997 62 565 3 026 2 244 763 685 6 527 1 005 … 172 6 627 92 1 590 … 32 982 1 078 487 276 1 301 1 219 1 582 … 764 603 990 6 984 192 242 63 536 112 255 232 151 232 250 254 207 266 463 2 196 261 251

1970 218 1 110 … 174 366 6 171 438 488 6 151 105 76 306 286 120 439 169 70 98 88 125 138 64 212 715 344 1 034 630 181 176 175 600 52 829 2 337 1 866 726 671 4 303 825 … 140 4 499 89 1 495 … 31 042 954 320 149 899 825 1 372 … 597 357 760 5 928 153 217 49 369 109 183 190 127 214 200 181 173 232 371 1 971 220 210

Square kilometers 98.0 117.3 21.1 2.8 168.0 37.0 149.8 5.4 3 311.5 129.5 11.5 197.7 138.7 280.3 405.3 254.8 139.2 183.7 92.2 92.6 181.2 5.1 124.6 238.9 210.8 9.8 8.7 180.3 5.0 107.8 313.7 2 051.2 9.9 98.8 4.1 7.2 126.1 93.8 7.8 .4 96.7 .3 92.3 17.1 48.1 92.2 44.8 1.3 6.0 2.8 88.5 16.9 4.9 3.6 90.6 1 526.7 93.6 93.5 .9 109.7 2.5 91.0 92.2 91.9 93.1 93.3 2.2 93.4 93.8 84.1 9.2 110.0 93.7

Square miles 37.8 45.3 8.1 1.1 64.9 14.3 57.8 2.1 1 278.6 50.0 4.5 76.3 53.6 108.2 156.5 98.4 53.7 70.9 35.6 35.7 70.0 2.0 48.1 92.2 81.4 3.8 3.4 69.6 1.9 41.6 121.1 792.0 3.8 38.1 1.6 2.8 48.7 36.2 3.0 .1 37.3 .1 35.7 6.6 18.6 35.6 17.3 .5 2.3 1.1 34.2 6.5 1.9 1.4 35.0 589.4 36.1 36.1 .4 42.3 1.0 35.1 35.6 35.5 35.9 36.0 .9 36.0 36.2 32.5 3.5 42.5 36.2

Square kilometers 97.9 113.7 20.3 2.8 166.5 34.6 149.5 4.6 3 244.5 129.5 11.5 194.1 131.7 280.1 386.9 248.1 138.9 180.1 90.5 90.8 181.1 5.1 124.5 229.6 210.6 9.2 6.9 179.9 5.0 106.5 304.1 862.8 9.4 95.1 3.5 5.6 117.8 91.7 5.7 .4 92.7 .3 87.3 12.2 40.0 92.1 44.3 1.2 6.0 2.8 83.4 14.0 4.6 3.2 90.5 1 518.4 93.6 93.5 .9 107.2 2.3 91.0 90.0 91.9 93.1 93.3 2.2 93.4 92.7 84.1 9.0 108.0 93.7

Square miles 37.8 43.9 7.8 1.1 64.3 13.4 57.7 1.8 1 252.7 50.0 4.5 74.9 50.8 108.1 149.4 95.8 53.6 69.5 35.0 35.1 69.9 2.0 48.1 88.6 81.3 3.5 2.6 69.4 1.9 41.1 117.4 333.1 3.6 36.7 1.3 2.2 45.5 35.4 2.2 .1 35.8 .1 33.7 4.7 15.4 35.6 17.1 .5 2.3 1.1 32.2 5.4 1.8 1.2 34.9 586.3 36.1 36.1 .4 41.4 .9 35.1 34.8 35.5 35.9 36.0 .9 36.0 35.8 32.5 3.5 41.7 36.2

Square kilometer 9.7 19.6 402.8 182.9 10.5 664.9 16.7 399.6 4.8 2.1 15.5 3.5 8.0 1.1 2.2 1.9 1.4 1.2 2.2 4.0 1.8 33.1 3.4 5.8 4.1 337.4 230.7 2.7 114.2 3.2 5.2 202.9 941.6 61.3 443.7 308.0 178.3 39.6 209.8 1 335.0 216.7 820.0 62.9 307.2 2 107.5 35.2 41.6 815.0 633.8 1 310.4 51.0 114.6 528.5 606.6 32.1 11.5 4.7 5.8 145.6 14.4 125.2 7.8 6.8 3.7 6.6 6.8 291.4 5.9 6.5 16.9 557.6 6.1 7.1

Square mile 25.1 50.6 1 048.2 465.5 27.1 1 716.9 43.2 1 021.1 12.5 5.5 39.6 9.1 20.8 3.0 5.8 4.8 3.6 3.1 5.8 10.3 4.7 84.5 8.7 15.0 10.6 886.9 612.3 7.0 300.5 8.4 13.5 525.5 2 458.6 158.9 1 194.6 784.1 461.5 102.6 543.6 5 340.0 561.0 2 460.0 163.0 797.4 5 473.9 91.1 107.8 1 956.0 1 653.5 3 335.5 132.1 297.0 1 350.6 1 617.5 83.1 29.9 12.3 15.0 327.5 37.4 320.0 20.1 17.6 9.5 17.2 17.6 712.2 15.3 16.9 43.8 1 433.7 15.9 18.3

Square kilometer 3.6 6.9 146.7 76.1 4.0 249.3 5.6 142.0 2.8 1.0 7.2 2.5 6.4 .7 1.9 1.5 .6 .8 1.3 2.1 1.0 13.9 1.9 3.5 2.1 142.2 109.7 1.7 49.2 1.9 3.7 77.6 364.0 26.6 226.3 148.8 61.6 13.4 101.4 482.5 86.3 313.3 22.7 115.7 828.9 12.0 14.4 288.3 222.8 471.8 19.9 47.1 205.9 230.6 11.0 4.8 2.1 2.5 60.0 5.5 57.8 3.0 2.7 1.6 3.0 2.5 130.9 2.5 3.0 5.6 254.4 2.5 2.8

Square mile 9.3 17.9 381.8 193.6 10.4 643.8 14.5 362.8 7.2 2.6 18.4 6.4 16.6 1.8 5.0 3.9 1.6 2.0 3.5 5.5 2.5 35.5 5.0 9.1 5.4 373.7 291.2 4.3 129.5 5.0 9.5 201.0 950.6 68.9 609.2 378.6 159.4 34.8 262.7 1 930.0 223.5 940.0 58.8 300.2 2 153.0 31.0 37.2 692.0 581.3 1 200.9 51.6 122.2 526.1 615.0 28.6 12.5 5.5 6.4 135.0 14.3 147.8 7.7 7.0 4.3 7.7 6.5 320.0 6.5 7.8 14.4 654.3 6.5 7.3

†

17 521 444 540 131 1 547 288 706 611 339 617 632 641 550 604 1 423 5 018 662 662

17 476 483 565 161 1 369 245 709 634 351 606 702 577 558 644 1 442 4 997 654 662

17 079 489 567 126 1 095 321 577 652 391 578 750 506 550 619 1 283 5 086 640 654

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 34 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

34 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Richland County † Con. Sylvan town Viola village (pt.) Westford town † Willow town Yuba village Rock County † Avon town Beloit city † Beloit town † Bradford town Center town Clinton town † Clinton village † Edgerton city Evansville city † Footville village † Fulton town Harmony town † Janesville city † Janesville town † Johnstown town La Prairie town † Lima town Magnolia town Milton city † Milton town † Newark town Orfordville village Plymouth town Porter town Rock town † Spring Valley town Turtle town † Union town † Rusk County † Atlanta town Big Bend town Big Falls town Bruce village Cedar Rapids town Conrath village Dewey town Flambeau town Glen Flora village Grant town † Grow town Hawkins town Hawkins village Hubbard town Ingram village Ladysmith city Lawrence town Marshall town Murry town Richland town † † †

1990 507 437 513 572 77 139 510 570 35 573 6 778 1 030 861 899 1 849 4 254 3 174 764 2 2 52 3 867 138 133 198 850 943 1 285 717 4 434 2 363 1 514 1 219 1 189 953 3 172 790 2 456 1 537 15 079 585 386 107 844 30 92 487 1 018 108 847 450 163 375 216 91 3 938 240 630 291 185 443 268 119 262 573 757 114 310 301 283 51 448 67

1980 487 473 558 527 72 139 420 555 35 207 8 382 1 100 908 925 1 751 4 335 2 835 794 2 2 51 3 1 1 4 2 866 090 071 068 844 099 179 746 092 306

1970 486 444 658 528 79 131 970 614 35 729 9 182 1 071 942 1 090 1 333 4 118 2 992 698 2 1 46 2 1 1 3 1 126 364 426 700 914 086 063 736 699 977

1990 199 201 195 221 35 54 840 207 14 033 2 613 377 329 318 690 1 792 1 305 298 1 240 717 21 153 965 294 325 478 273 1 724 1 100 505 442 407 347 1 155 269 916 568 7 904 281 521 98 414 31 38 274 417 49 351 179 108 175 116 46 1 671 104 214 157 114 448 121 103 140 313 361 50 121 379 135 44 297 34

1980 180 208 206 195 32 52 103 201 13 415 3 057 373 298 302 651 1 768 1 143 281 1 593 609 19 292 934 284 358 417 259 1 493 1 041 490 411 405 318 1 050 277 912 471 7 194 211 490 84 409 26 34 241 413 40 363 171 97 165 98 44 1 494 81 210 133 92 394 123 72 138 292 321 51 117 327 134 34 263 32

1970 182 189 175 177 36 41 814 175 11 821 2 860 317 259 299 461 1 464 1 028 231 834 361 14 572 779 245 302 299 213 1 063 770 381 305 349 284 754 246 783 359 5 476 157 291 75 300 10 37 160 309 33 311 136 68 142 47 42 1 301 52 183 87 63 229 99 70 109 276 189 47 100 212 127 15 181 18

Square kilometers 93.5 1.1 90.5 92.9 .8 1 881.0 93.6 42.5 70.3 94.1 92.3 93.1 2.0 8.0 5.0 2.6 85.7 68.5 62.4 76.1 93.8 90.3 94.3 93.3 7.0 86.9 94.2 3.0 92.3 94.4 79.2 90.9 76.3 89.0 2 411.2 132.1 91.6 93.3 6.1 92.4 1.3 88.2 90.4 1.5 87.9 91.7 118.6 5.7 115.7 2.6 10.5 123.6 92.7 160.9 60.0 92.9 1.7 92.7 90.9 94.9 136.2 5.3 60.8 92.3 2.5 91.7 93.6 89.2

Square miles 36.1 .4 34.9 35.8 .3 726.3 36.1 16.4 27.2 36.3 35.6 35.9 .8 3.1 1.9 1.0 33.1 26.5 24.1 29.4 36.2 34.9 36.4 36.0 2.7 33.5 36.4 1.2 35.6 36.4 30.6 35.1 29.5 34.4 931.0 51.0 35.4 36.0 2.4 35.7 .5 34.1 34.9 .6 34.0 35.4 45.8 2.2 44.7 1.0 4.0 47.7 35.8 62.1 23.2 35.9 .7 35.8 35.1 36.6 52.6 2.0 23.5 35.6 .9 35.4 36.2 34.4

Square kilometers 93.5 1.1 90.4 92.8 .8 1 866.2 93.6 41.9 68.5 94.1 92.2 93.0 2.0 8.0 4.9 2.6 83.0 68.4 60.9 74.9 93.8 90.3 94.3 93.3 7.0 82.6 94.2 3.0 92.3 93.4 77.8 90.9 76.3 88.9 2 365.2 131.6 84.5 91.6 5.9 91.1 1.3 80.4 89.6 1.5 86.9 91.7 118.2 5.7 114.2 2.6 9.5 123.6 92.7 160.2 59.6 86.8 1.7 91.7 89.9 92.9 133.0 5.3 60.4 87.3 2.4 91.1 92.2 88.3

Square miles 36.1 .4 34.9 35.8 .3 720.5 36.1 16.2 26.5 36.3 35.6 35.9 .8 3.1 1.9 1.0 32.1 26.4 23.5 28.9 36.2 34.9 36.4 36.0 2.7 31.9 36.4 1.2 35.6 36.1 30.1 35.1 29.5 34.3 913.2 50.8 32.6 35.4 2.3 35.2 .5 31.0 34.6 .6 33.5 35.4 45.6 2.2 44.1 1.0 3.7 47.7 35.8 61.9 23.0 33.5 .7 35.4 34.7 35.9 51.4 2.0 23.3 33.7 .9 35.2 35.6 34.1

Square kilometer 5.4 397.3 5.7 6.2 96.3 74.8 6.1 849.0 98.9 10.9 9.3 9.7 924.5 531.8 647.8 293.8 34.5 31.3 856.0 42.7 9.1 10.4 13.6 7.7 633.4 28.6 16.1 406.3 12.9 10.2 40.8 8.7 32.2 17.3 6.4 4.4 4.6 1.2 143.1 .3 70.8 6.1 11.4 72.0 9.7 4.9 1.4 65.8 1.9 35.0 414.5 1.9 6.8 1.8 3.1 5.1 157.6 1.3 2.9 6.2 5.7 21.5 5.1 3.4 117.9 .6 4.9 .8

Square mile 14.0 1 092.5 14.7 16.0 256.7 193.6 15.8 2 195.9 255.8 28.4 24.2 25.0 2 311.3 1 372.3 1 670.5 764.0 89.3 81.0 2 218.4 110.7 23.5 27.0 35.3 19.9 1 642.2 74.1 41.6 1 015.8 33.4 26.4 105.4 22.5 83.3 44.8 16.5 11.5 11.8 3.0 367.0 .9 184.0 15.7 29.4 180.0 25.3 12.7 3.6 170.5 4.9 91.0 1 064.3 5.0 17.6 4.7 8.0 13.2 382.9 3.4 7.6 16.0 14.7 57.0 13.3 8.9 314.4 1.4 12.6 2.0

Square kilometer 2.1 182.7 2.2 2.4 43.8 29.4 2.2 334.9 38.1 4.0 3.6 3.4 345.0 224.0 266.3 114.6 14.9 10.5 347.3 12.9 3.1 3.6 5.1 2.9 246.3 13.3 5.4 147.3 4.4 3.7 14.8 3.0 12.0 6.4 3.3 2.1 6.2 1.1 70.2 .3 29.2 3.4 4.7 32.7 4.0 2.0 .9 30.7 1.0 17.7 175.9 .8 2.3 1.0 1.9 5.2 71.2 1.1 1.6 3.4 2.7 9.4 2.0 4.3 56.3 .5 3.2 .4

Square mile 5.5 502.5 5.6 6.2 116.7 76.1 5.7 866.2 98.6 10.4 9.2 8.9 862.5 578.1 686.8 298.0 38.6 27.2 900.1 33.4 8.1 9.3 13.1 7.6 638.5 34.5 13.9 368.3 11.4 9.6 38.4 7.7 31.1 16.6 8.7 5.5 16.0 2.8 180.0 .9 76.0 8.8 12.1 81.7 10.5 5.1 2.4 79.5 2.6 46.0 451.6 2.2 6.0 2.5 5.0 13.4 172.9 2.9 4.0 8.7 7.0 25.0 5.2 11.2 150.0 1.3 8.3 1.0

1 574 1 143 1 267 940 3 399 912 2 703 1 329 15 589 586 398 122 905 30 86 399 1 086 83 998 560 184 407 185 61 3 826 240 697 301 217 422 292 146 281 612 740 146 332 318 313 63 481 72

1 456 888 1 246 884 3 050 852 2 532 1 202 14 238 489 324 130 799 9 114 363 931 69 931 548 230 385 112 109 3 674 167 679 253 196 372 218 204 262 633 543 144 360 206 285 44 380 75

† †

† †

Rusk town Sheldon village † South Fork town Strickland town Stubbs town Thornapple town Tony village True town † Washington town Weyerhaeuser village Wilkinson town Willard town Wilson town

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 35 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 35

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
St. Croix County † Baldwin town † Baldwin village † Cady town Cylon town Deer Park village Eau Galle town † Emerald town Erin Prairie town Forest town Glenwood town † Glenwood City city † Hammond town † Hammond village Hudson city † Hudson town † Kinnickinnic town † New Richmond city † North Hudson village † Pleasant Valley town Richmond town † River Falls city (pt.) † Roberts village † Rush River town St. Joseph town Somerset town † Somerset village † Springfield town † Spring Valley village (pt.) Stanton town Star Prairie town † Star Prairie village Troy town † Warren town † Wilson village † Woodville village Sauk County † Baraboo city † Baraboo town † Bear Creek town Cazenovia village (pt.) Dellona town Delton town † Excelsior town Fairfield town Franklin town † Freedom town Greenfield town † Honey Creek town Ironton town Ironton village Lake Delton village † La Valle town † La Valle village † Lime Ridge village Loganville village Merrimac town † Lake Wisconsin CDP (pt.) Merrimac village † North Freedom village Plain village † Prairie du Sac town † Prairie du Sac village † Reedsburg city † Reedsburg town † Rock Springs village Sauk City village Spring Green town †

1990 50 251 911 2 022 643 639 237 756 630 647 614 700 1 026 819 1 097 6 378 3 692 1 139 5 106 3 101 384 1 400 1 769 1 043 419 2 657 1 975 1 065 772 – 1 042 2 098 507 2 850 1 008 163 942 46 975 9 203 1 503 521 – 768 1 599 1 194 826 668 422 758 725 585 200 470 005 446 152 228 737 90 392 591 691 271 380 834 367 432 019 329

1980 43 262 943 1 620 r724 717 232 897 638 661 631 715 950 822 991 434 012 051 306 218 360 338

1970 34 354 890 1 399 670 620 217 720 588 516 649 764 822 764 768 049 925 755 707 547 330 091

1990 18 519 288 822 240 227 98 269 203 208 207 239 418 271 406 634 144 364 025 122 128 467 715 389 151 974 722 417 268 – 353 761 201 1 033 327 57 371 20 439 3 934 614 185 – 400 777 439 348 232 180 303 273 201 101 1 091 783 180 69 107 579 80 219 251 293 457 929 2 485 383 165 1 254 588

1980 14 924 278 678 r246 229 90 284 191 197 201 225 378 251 367 2 055 596 336 1 665 753 110 385 r529 281 154 759 583 318 263 1 340 631 163 r801 249 59 278 17 454 3 355 583 171 4 283 615 409 294 213 188 266 263 203 99 608 572 170 69 107 494 … 191 256 244 319 836 2 118 400 154 1 020 508

1970 10 376 250 522 209 181 79 210 163 128 178 203 278 200 267 1 613 256 205 1 223 472 87 271 288 143 119 437 297 232 235 … 263 412 122 463 150 57 163 13 654 2 841 494 138 5 151 403 223 228 191 131 237 246 184 79 441 369 157 70 84 308 … 183 212 207 211 631 1 689 328 150 770 281

Square kilometers 1 905.9 83.3 4.4 90.3 91.7 2.5 88.8 90.4 92.3 96.4 89.3 6.1 88.2 3.1 12.7 70.5 91.9 8.7 5.5 46.7 88.6 3.2 .9 46.4 89.4 129.7 4.4 89.5 3.0 91.2 87.3 5.3 105.9 91.9 3.6 2.9 2 197.7 12.1 86.0 128.7 – 91.0 83.5 88.0 92.2 127.9 89.9 76.9 123.2 91.1 .9 12.3 91.6 1.1 2.6 .5 68.1 1.6 3.6 2.3 1.8 79.1 3.5 9.6 83.5 3.5 3.8 120.1

Square miles 735.9 32.2 1.7 34.9 35.4 1.0 34.3 34.9 35.6 37.2 34.5 2.4 34.0 1.2 4.9 27.2 35.5 3.4 2.1 18.0 34.2 1.2 .4 17.9 34.5 50.1 1.7 34.6 1.1 35.2 33.7 2.0 40.9 35.5 1.4 1.1 848.5 4.7 33.2 49.7 – 35.2 32.2 34.0 35.6 49.4 34.7 29.7 47.6 35.2 .3 4.7 35.3 .4 1.0 .2 26.3 .6 1.4 .9 .7 30.5 1.4 3.7 32.2 1.3 1.5 46.4

Square kilometers 1 869.9 83.2 4.4 89.4 91.5 2.4 88.3 90.2 91.9 96.3 89.0 6.1 87.8 3.1 10.3 69.2 91.9 8.5 3.4 46.7 88.0 3.2 .9 46.4 83.2 124.5 4.4 88.9 1.2 88.9 83.9 5.3 100.6 90.6 3.6 2.9 2 169.7 12.1 84.5 128.7 – 90.9 81.8 87.8 90.6 127.4 89.6 76.9 123.1 91.1 .9 11.0 88.6 1.0 2.6 .5 63.4 1.0 2.0 2.3 1.8 76.9 3.3 9.6 83.5 3.5 3.5 115.4

Square miles 722.0 32.1 1.7 34.5 35.3 .9 34.1 34.8 35.5 37.2 34.4 2.4 33.9 1.2 4.0 26.7 35.5 3.3 1.3 18.0 34.0 1.2 .4 17.9 32.1 48.1 1.7 34.3 .5 34.3 32.4 2.0 38.8 35.0 1.4 1.1 837.7 4.7 32.6 49.7 – 35.1 31.6 33.9 35.0 49.2 34.6 29.7 47.5 35.2 .3 4.3 34.2 .4 1.0 .2 24.5 .4 .8 .9 .7 29.7 1.3 3.7 32.2 1.3 1.4 44.5

Square kilometer 26.9 10.9 459.5 7.2 7.0 98.8 8.6 7.0 7.0 6.4 7.9 168.2 9.3 353.9 619.2 53.4 12.4 600.7 912.1 8.2 15.9 552.8 1 158.9 9.0 31.9 15.9 242.0 8.7 – 11.7 25.0 95.7 28.3 11.1 45.3 324.8 21.7 760.6 17.8 4.0 – 8.4 19.5 13.6 9.1 5.2 4.7 9.9 5.9 6.4 222.2 133.6 11.3 446.0 58.5 456.0 11.6 90.0 196.0 257.0 383.9 16.5 721.2 607.7 16.4 123.4 862.6 11.5

Square mile 69.6 28.4 1 189.4 18.6 18.1 263.3 22.2 18.1 18.2 16.5 20.3 427.5 24.2 914.2 1 594.5 138.3 32.1 1 547.3 2 385.4 21.3 41.2 1 474.2 2 607.5 23.4 82.8 41.1 626.5 22.5 – 30.4 64.8 253.5 73.5 28.8 116.4 856.4 56.1 1 958.1 46.1 10.5 – 21.9 50.6 35.2 23.6 13.6 12.2 25.5 15.3 16.6 666.7 341.9 29.4 115.0 152.0 140.0 30.1 225.0 490.0 656.7 987.1 42.8 830.8 576.8 42.5 332.3 156.4 29.9

Square kilometer 9.9 3.5 186.8 2.7 2.5 40.8 3.0 2.3 2.3 2.1 2.7 68.5 3.1 131.0 255.7 16.5 4.0 238.2 330.0 2.7 5.3 223.4 432.2 3.3 11.7 5.8 94.8 3.0 – 4.0 9.1 37.9 10.3 3.6 15.8 127.9 9.4 325.1 7.3 1.4 – 4.4 9.5 5.0 3.8 1.8 2.0 3.9 2.2 2.2 112.2 99.2 8.8 180.0 26.5 214.0 9.1 80.0 109.5 109.1 162.8 5.9 281.5 258.9 4.6 47.1 358.3 5.1

Square mile 25.6 9.0 483.5 7.0 6.4 108.9 7.9 5.8 5.9 5.6 6.9 174.2 8.0 338.3 658.5 42.8 10.3 613.6 863.1 7.1 13.7 595.8 972.5 8.4 30.3 15.0 245.3 7.8 – 10.3 23.5 100.5 26.6 9.3 40.7 337.3 24.4 837.0 18.8 3.7 – 11.4 24.6 12.9 9.9 4.7 5.2 10.2 5.7 5.7 336.7 253.7 22.9 450.0 69.0 535.0 23.6 200.0 273.8 278.9 418.6 15.4 714.6 671.6 11.9 126.9 895.7 13.2

5 2 1 4 2 1

5 3 1 1

2 1 2 1

†

r1 498 833 476 2 180 1 833 860 816 r– 1 083 1 900 420 r2 326 897 155 725 43 469 8 081 1 545 537 14 705 1 426 1 266 819 747 405 719 774 643 206 158 929 412 191 239 661 … 365 616 676 010 145 038 468 426 703 139

991 484 439 1 357 1 185 778 811 … 975 1 390 362 1 517 622 130 522 39 057 7 931 1 158 522 14 472 846 786 658 798 371 741 793 658 195 059 693 411 203 199 435 … 376 596 688 723 902 585 442 432 385 862

†

1 1

1

1

1 1

1 2 5 1 3 1

1 2 5 1 2 1

1 4 1 2

1 1 2

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 36 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

36 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Sauk County † Con. Spring Green village † Sumpter town Troy town Washington town West Baraboo village Westfield town Winfield town Wisconsin Dells city (pt.) Woodland town Sawyer County † Bass Lake town Chief Lake CDP (pt.) Little Round Lake CDP (pt.) Reserve CDP (pt.) Couderay town Reserve CDP (pt.) Couderay village Draper town Edgewater town Exeland village Hayward city † Hayward town † Chief Lake CDP (pt.) Little Round Lake CDP (pt.) Hunter town Chief Lake CDP (pt.) Little Round Lake CDP (pt.) New Post CDP (pt.) Lenroot town Meadowbrook town Meteor town Ojibwa town Radisson town New Post CDP (pt.) Reserve CDP (pt.) Radisson village Round Lake town Sand Lake town Reserve CDP (pt.) Spider Lake town Weirgor town Winter town Winter village Shawano County † Almon town Angelica town Aniwa town Aniwa village Bartelme town Belle Plaine town Birnamwood town Birnamwood village (pt.) Bonduel village † Bowler village Cecil village † Eland village Fairbanks town Germania town Grant town Green Valley town Gresham village Hartland town † Herman town Hutchins town Lessor town Maple Grove town Mattoon village Morris town Navarino town Pella town Red Springs town Richmond town Seneca town

1990 1 283 747 867 798 1 021 578 649 132 584 14 181 1 717 360 275 8 386 241 92 208 509 180 1 897 3 017 187 596 557 23 – 219 966 192 111 250 412 24 – 237 727 821 122 362 356 801 383 37 157 557 1 417 601 249 618 1 792 632 687 1 210 279 373 247 600 410 946 984 515 764 739 523 892 1 159 431 453 439 885 614 1 587 538

1980 1 265 720 799 741 846 633 624 184 594 12 843 1 288 … … … 394 … 114 242 441 219 1 698 2 331 … … 594 … … … 926 202 105 264 394 … … 280 786 768 … 331 386 704 376 35 928 632 1 522 612 273 583 1 626 570 688 1 160 339 445 230 608 392 976 1 054 534 872 834 467 955 1 271 382 447 456 788 524 1 543 525

1970 1 199 883 723 756 563 650 608 124 617 9 670 832 … … … 170 … 123 258 286 189 1 457 1 690 … … 381 … … … 577 190 117 238 371 … … 206 557 598 … 259 331 840 … 32 650 505 1 433 598 233 399 1 636 484 632 995 272 369 229 631 389 912 984 448 820 759 409 911 1 258 377 411 440 734 474 1 397 532

1990 522 386 293 262 403 206 228 62 257 13 025 1 651 194 78 36 213 122 51 404 745 111 961 1 642 177 171 937 48 – 267 871 107 94 253 320 69 – 128 917 1 125 69 945 204 1 143 203 16 737 244 508 210 109 246 943 257 290 501 114 202 90 259 174 373 389 243 257 287 213 300 363 186 204 177 379 353 633 247

1980 487 423 273 250 321 196 189 75 228 11 053 1 320 … … … 194 … 53 353 613 103 802 1 330 … … 846 … … … 719 94 82 215 294 … … 128 878 938 … 786 178 945 182 15 246 230 480 183 102 188 861 220 262 477 118 219 97 209 135 350 362 221 253 275 198 292 370 151 194 170 313 348 572 227

1970 404 363 213 232 207 194 167 37 195 6 452 797 … … … 90 … 42 306 251 88 586 745 … … 263 … … … 372 90 62 148 209 … … 91 495 590 … 379 149 699 … 12 088 173 430 139 88 147 717 153 209 340 106 181 85 192 121 289 321 153 225 231 131 258 310 143 153 144 243 227 470 176

Square kilometers 3.0 97.9 140.6 92.1 2.0 92.6 91.8 5.2 93.7 3 497.6 159.7 12.9 15.0 .3 174.3 97.4 2.5 358.0 135.6 2.6 7.5 166.5 43.1 8.1 196.8 5.1 .3 42.4 227.8 93.8 91.3 133.2 194.7 28.2 12.9 1.0 306.1 133.6 28.1 282.0 89.4 739.0 2.1 2 355.3 91.2 94.9 86.7 5.5 92.1 101.5 81.3 5.6 4.4 2.6 3.6 5.8 91.4 93.7 96.0 92.8 3.2 91.3 91.7 87.3 93.6 91.7 3.9 93.8 92.6 95.2 94.5 89.1 94.9

Square miles 1.2 37.8 54.3 35.6 .8 35.8 35.5 2.0 36.2 1 350.4 61.7 5.0 5.8 .1 67.3 37.6 1.0 138.2 52.3 1.0 2.9 64.3 16.7 3.1 76.0 2.0 .1 16.4 88.0 36.2 35.3 51.4 75.2 10.9 5.0 .4 118.2 51.6 10.8 108.9 34.5 285.3 .8 909.4 35.2 36.6 33.5 2.1 35.6 39.2 31.4 2.1 1.7 1.0 1.4 2.2 35.3 36.2 37.1 35.8 1.2 35.3 35.4 33.7 36.1 35.4 1.5 36.2 35.7 36.8 36.5 34.4 36.7

Square kilometers 3.0 97.7 137.7 92.1 2.0 92.6 91.8 4.9 93.4 3 254.4 119.0 12.6 14.7 .3 172.2 95.9 2.5 352.5 122.2 2.6 6.8 149.5 38.5 7.8 135.0 3.6 .3 25.3 211.5 93.1 89.2 131.7 192.0 26.9 12.9 1.0 283.1 120.1 27.8 257.1 87.1 724.0 2.1 2 311.8 91.0 94.8 86.0 5.4 92.0 99.5 81.3 5.6 4.3 2.6 3.6 5.8 91.2 93.7 95.7 92.5 2.9 90.9 91.1 87.0 93.0 91.7 3.9 93.8 91.3 94.3 92.6 87.1 94.7

Square miles 1.2 37.7 53.1 35.6 .8 35.8 35.4 1.9 36.1 1 256.5 46.0 4.9 5.7 .1 66.5 37.0 1.0 136.1 47.2 1.0 2.6 57.7 14.9 3.0 52.1 1.4 .1 9.8 81.7 36.0 34.4 50.8 74.1 10.4 5.0 .4 109.3 46.4 10.7 99.3 33.6 279.5 .8 892.6 35.1 36.6 33.2 2.1 35.5 38.4 31.4 2.1 1.7 1.0 1.4 2.2 35.2 36.2 36.9 35.7 1.1 35.1 35.2 33.6 35.9 35.4 1.5 36.2 35.2 36.4 35.8 33.6 36.6

Square kilometer 427.7 7.6 6.3 8.7 510.5 6.2 7.1 26.9 6.3 4.4 14.4 28.6 18.7 26.7 2.2 2.5 36.8 .6 4.2 69.2 279.0 20.2 4.9 76.4 4.1 6.4 – 8.7 4.6 2.1 1.2 1.9 2.1 .9 – 237.0 2.6 6.8 4.4 1.4 4.1 1.1 182.4 16.1 6.1 14.9 7.0 46.1 6.7 18.0 7.8 122.7 281.4 107.3 103.6 42.6 6.6 4.4 9.9 10.6 177.6 8.4 8.1 6.0 9.6 12.6 110.5 4.8 4.8 9.4 6.6 18.2 5.7

Square mile 1 069.2 19.8 16.3 22.4 1 276.3 16.1 18.3 69.5 16.2 11.3 37.3 73.5 48.2 80.0 5.8 6.5 92.0 1.5 10.8 180.0 729.6 52.3 12.6 198.7 10.7 16.4 – 22.3 11.8 5.3 3.2 4.9 5.6 2.3 – 592.5 6.7 17.7 11.4 3.6 10.6 2.9 478.8 41.6 15.9 38.7 18.1 118.6 17.4 46.7 20.1 327.1 711.8 279.0 266.4 112.3 17.0 11.3 25.6 27.6 468.2 21.8 21.0 15.6 24.8 32.7 287.3 12.5 12.5 24.3 17.2 47.2 14.7

Square kilometer 174.0 4.0 2.1 2.8 201.5 2.2 2.5 12.7 2.8 4.0 13.9 15.4 5.3 120.0 1.2 1.3 20.4 1.1 6.1 42.7 141.3 11.0 4.6 21.9 6.9 13.3 – 10.6 4.1 1.1 1.1 1.9 1.7 2.6 – 128.0 3.2 9.4 2.5 3.7 2.3 1.6 96.7 7.2 2.7 5.4 2.4 20.2 2.7 9.5 3.2 51.8 116.5 43.8 56.1 15.5 2.8 1.9 3.9 4.2 83.8 2.8 3.2 2.4 3.2 4.0 47.7 2.2 1.9 4.0 3.8 7.3 2.6

Square mile 435.0 10.2 5.5 7.4 503.8 5.8 6.4 32.6 7.1 10.4 35.9 39.6 13.7 360.0 3.2 3.3 51.0 3.0 15.8 111.0 369.6 28.5 11.9 57.0 18.0 34.3 – 27.2 10.7 3.0 2.7 5.0 4.3 6.6 – 320.0 8.4 24.2 6.4 9.5 6.1 4.1 253.8 18.8 7.0 13.9 6.3 51.9 6.9 24.6 8.2 138.1 294.7 114.0 144.3 40.9 7.4 4.8 10.1 10.9 220.9 7.3 8.2 6.3 8.4 10.3 124.0 5.6 5.0 10.4 9.9 18.8 6.7

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TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 37 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 37

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Shawano County † Con. Shawano city † Tigerton village Washington town † Waukechon town † Wescott town Wittenberg town † Wittenberg village † Sheboygan County † Adell village Cascade village † Cedar Grove village Elkhart Lake village Glenbeulah village Greenbush town Herman town † Holland town † Howards Grove village Kohler village † Lima town † Lyndon town † Mitchell town Mosel town Oostburg village † Plymouth city † Plymouth town † Random Lake village Rhine town † Russell town Scott town Sheboygan city † Sheboygan town † Sheboygan Falls city Sheboygan Falls town Sherman town † Waldo village † Wilson town † Taylor County † Aurora town Browning town Chelsea town Cleveland town Deer Creek town Ford town Gilman village Goodrich town Greenwood town Grover town Hammel town Holway town Jump River town Little Black town Lublin village McKinley town Maplehurst town Medford city † Medford town † Molitor town Pershing town Rib Lake town Rib Lake village Roosevelt town Stetsonville village Taft town Westboro town Trempealeau County Albion town † Arcadia city Arcadia town Blair city † Burnside town † Caledonia town Chimney Rock town †

1990 7 598 815 1 620 876 3 085 877 1 145 103 877 510 620 1 521 1 019 386 1 943 1 820 2 567 2 329 1 817 2 715 1 432 944 918 1 931 6 769 2 911 1 439 2 235 362 1 671 49 676 3 866 5 823 1 908 1 461 442 2 842 18 901 473 740 731 235 738 254 412 454 634 214 633 779 330 1 195 129 403 300 4 283 1 961 183 217 746 887 429 511 367 663 25 263 696 2 166 1 710 1 126 653 555 267

1980 7 013 865 1 374 874 2 668 829 997 100 935 545 615 1 420 1 054 423 1 665 2 095 2 504 1 838 1 651 2 809 1 342 900 1 035 1 647 6 027 3 068 1 287 1 910 429 1 625 48 085 3 962 5 253 2 281 1 445 416 3 604 18 817 461 702 677 286 747 274 436 408 705 229 562 903 365 1 169 142 416 345 4 035 1 809 212 276 682 945 491 487 347 706 26 158 605 2 109 1 919 1 142 639 507 390

1970 6 488 742 974 906 2 251 723 895 96 660 380 603 1 276 787 496 1 537 2 042 2 287 998 1 738 2 590 1 198 779 1 127 1 309 5 810 2 368 1 068 1 386 482 1 451 48 484 4 246 4 771 2 280 1 436 408 3 323 16 958 466 644 554 250 764 248 328 373 635 210 509 837 355 1 133 143 461 348 3 454 1 546 199 295 615 782 518 305 355 631 23 344 561 2 159 1 697 1 036 693 341 345

1990 3 249 382 1 120 360 2 126 308 441 40 695 189 220 550 513 144 485 557 1 022 813 688 881 566 337 320 704 2 817 996 584 900 131 580 20 588 1 419 2 303 686 461 155 1 086 7 710 149 270 283 105 238 90 189 168 254 171 274 223 155 395 79 162 125 1 833 657 171 92 405 355 187 211 119 350 10 097 260 970 595 493 219 212 109

1980 2 932 367 914 314 1 945 298 399 37 351 189 215 519 499 149 411 564 956 601 569 816 492 282 334 574 2 446 947 503 796 121 673 18 818 1 317 1 983 761 438 149 1 229 7 163 156 233 266 113 218 93 173 134 225 162 281 231 149 364 77 144 134 1 619 552 164 106 334 358 198 209 131 339 9 744 201 838 611 449 201 203 146

1970 2 334 297 598 297 1 468 230 309 31 207 135 199 422 265 147 323 459 846 299 636 643 378 205 308 435 2 035 684 344 437 114 445 16 481 1 242 1 565 660 417 130 953 5 517 137 172 200 95 183 88 128 99 168 122 213 199 127 280 79 141 110 1 158 430 124 77 243 271 153 115 112 293 7 639 163 714 492 371 192 119 124

Square kilometers 13.6 2.4 101.0 94.1 79.3 89.3 3.5 3 292.0 1.3 1.9 5.3 3.0 1.7 122.8 88.8 108.6 5.4 14.2 94.9 89.0 93.7 54.8 2.0 9.4 82.9 4.1 90.1 62.5 94.6 34.6 29.5 7.8 86.0 88.9 2.3 60.4 2 550.1 88.6 94.6 105.9 92.4 88.5 90.8 6.1 94.0 140.7 184.9 92.5 94.2 93.2 90.9 3.9 92.8 93.1 8.4 98.3 93.2 92.8 193.9 6.0 89.4 1.1 94.9 324.9 1 921.9 91.5 4.6 310.6 2.5 91.4 55.2 93.5

Square miles 5.3 .9 39.0 36.3 30.6 34.5 1.4 1 271.1 .5 .7 2.0 1.1 .7 47.4 34.3 41.9 2.1 5.5 36.6 34.4 36.2 21.1 .8 3.6 32.0 1.6 34.8 24.1 36.5 13.4 11.4 3.0 33.2 34.3 .9 23.3 984.6 34.2 36.5 40.9 35.7 34.2 35.1 2.3 36.3 54.3 71.4 35.7 36.4 36.0 35.1 1.5 35.8 35.9 3.2 38.0 36.0 35.8 74.9 2.3 34.5 .4 36.6 125.5 742.1 35.3 1.8 119.9 1.0 35.3 21.3 36.1

Square kilometers 13.5 2.3 91.6 92.8 59.5 89.1 3.5 1 330.4 1.2 1.9 5.3 3.0 1.7 122.2 88.6 108.6 5.4 13.9 94.8 88.5 93.6 54.8 2.0 9.3 82.9 3.3 87.7 59.8 93.7 34.3 29.4 7.6 85.9 88.8 2.2 60.3 2 525.1 88.6 94.6 104.6 87.7 88.5 84.9 6.1 94.0 140.6 183.0 91.9 94.2 93.2 90.9 3.9 92.6 93.0 8.3 98.2 91.4 92.4 191.7 4.8 89.1 1.1 94.5 321.4 1 901.4 91.5 4.6 310.1 2.4 91.3 54.1 93.5

Square miles 5.2 .9 35.4 35.8 23.0 34.4 1.4 513.7 .5 .7 2.0 1.1 .7 47.2 34.2 41.9 2.1 5.4 36.6 34.2 36.1 21.1 .8 3.6 32.0 1.3 33.8 23.1 36.2 13.2 11.4 2.9 33.2 34.3 .8 23.3 975.0 34.2 36.5 40.4 33.9 34.2 32.8 2.3 36.3 54.3 70.7 35.5 36.4 36.0 35.1 1.5 35.7 35.9 3.2 37.9 35.3 35.7 74.0 1.9 34.4 .4 36.5 124.1 734.1 35.3 1.8 119.7 .9 35.2 20.9 36.1

Square kilometer 562.8 354.3 17.7 9.4 51.8 9.8 327.1 78.1 425.0 326.3 287.0 339.7 227.1 15.9 20.5 23.6 431.3 130.7 28.6 16.2 10.1 16.8 965.5 727.8 35.1 436.1 25.5 6.1 17.8 1 448.3 131.5 766.2 22.2 16.5 200.9 47.1 7.5 5.3 7.8 7.0 2.7 8.3 3.0 67.5 4.8 4.5 1.2 6.9 8.3 3.5 13.1 33.1 4.4 3.2 516.0 20.0 2.0 2.3 3.9 184.8 4.8 464.5 3.9 2.1 13.3 7.6 470.9 5.5 469.2 7.2 10.3 2.9

Square mile 1 461.2 905.6 45.8 24.5 134.1 25.5 817.9 202.2 1 020.0 885.7 760.5 926.4 551.4 41.2 53.2 61.3 1 109.0 336.5 74.2 41.9 26.1 43.5 2 413.8 1 880.3 91.0 1 106.9 66.1 15.7 46.2 3 763.3 339.1 2 007.9 57.5 42.6 552.5 122.0 19.4 13.8 20.3 18.1 6.9 21.6 7.7 179.1 12.5 11.7 3.0 17.8 21.4 9.2 34.0 86.0 11.3 8.4 1 338.4 51.7 5.2 6.1 10.1 466.8 12.5 1 277.5 10.1 5.3 34.4 19.7 1 203.3 14.3 1 251.1 18.6 26.6 7.4

Square kilometer 240.7 166.1 12.2 3.9 35.7 3.5 126.0 30.6 157.5 115.8 103.8 171.0 84.7 4.0 6.3 9.4 150.6 49.5 9.3 6.4 3.6 5.8 352.0 302.9 12.0 177.0 10.3 2.2 6.2 600.2 48.3 303.0 8.0 5.2 70.5 18.0 3.1 1.7 2.9 2.7 1.2 2.7 1.1 31.0 1.8 1.8 .9 3.0 2.4 1.7 4.3 20.3 1.7 1.3 220.8 6.7 1.9 1.0 2.1 74.0 2.1 191.8 1.3 1.1 5.3 2.8 210.9 1.9 205.4 2.4 3.9 1.2

Square mile 624.8 424.4 31.6 10.1 92.4 9.0 315.0 79.2 378.0 314.3 275.0 466.4 205.7 10.3 16.3 24.4 387.1 127.4 24.1 16.5 9.3 15.2 880.0 782.5 31.1 449.2 26.6 5.7 16.0 1 559.7 124.5 794.1 20.7 13.4 193.8 46.6 7.9 4.4 7.4 7.0 3.1 7.0 2.7 82.2 4.6 4.7 2.4 7.7 6.1 4.3 11.3 52.7 4.5 3.5 572.8 17.3 4.8 2.6 5.5 186.8 5.4 527.5 3.3 2.8 13.8 7.4 538.9 5.0 547.8 6.2 10.1 3.0

†

†

†

† †

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 38 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

38 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Trempealeau County Dodge town Eleva village † Ettrick town † Ettrick village † Gale town † Galesville city † Hale town Independence city Lincoln town † Osseo city † Pigeon town Pigeon Falls village Preston town † Strum village † Sumner town † Trempealeau town Trempealeau village Unity town † Whitehall city † Vernon County † Bergen town † Chaseburg village Christiana town Clinton town Coon town † Coon Valley village De Soto village (pt.) Forest town Franklin town Genoa town Genoa village Greenwood town Hamburg town † Harmony town Hillsboro city † Hillsboro town † Jefferson town Kickapoo town La Farge village Liberty town Ontario village Readstown village Stark town Sterling town Stoddard village † Union town Viola village (pt.) Viroqua city † Viroqua town † Webster town Westby city Wheatland town † Whitestown town Vilas County † Arbor Vitae town Boulder Junction town Cloverland town Conover town Eagle River city † Lac du Flambeau town Lac du Flambeau CDP Land O’Lakes town Lincoln town Manitowish Waters town Phelps town Plum Lake town Presque Isle town St. Germain town Washington town † Winchester town † Con.

1990 397 491 1 339 461 1 563 1 278 971 1 041 894 1 551 845 289 963 949 711 1 341 1 039 473 1 494 25 617 1 223 365 851 1 093 701 817 253 543 926 661 266 574 712 551 1 288 642 915 472 766 189 407 420 259 598 775 420 207 3 922 1 499 529 1 866 436 471 17 707 2 531 884 768 932 1 374 2 433 1 423 839 2 310 651 1 187 465 471 1 319 1 189 354

1980 399 593 1 420 462 1 553 1 239 983 1 180 935 1 474 876 338 1 112 944 785 1 504 956 564 1 530 25 642 1 117 279 823 920 757 758 252 551 1 047 787 283 546 774 636 1 263 763 919 523 746 171 398 396 322 626 762 405 223 3 716 1 663 594 1 797 407 418 16 535 2 303 934 692 826 1 326 2 190 … 803 2 262 625 1 129 408 390 1 176 1 100 371

1970 432 574 1 268 463 1 255 1 162 1 041 1 036 811 1 356 759 198 1 027 738 594 1 082 743 487 1 486 24 557 1 002 224 806 830 697 596 216 571 926 728 305 491 754 712 1 231 617 949 455 748 231 392 395 356 664 750 442 215 3 739 1 544 520 1 568 393 490 10 958 982 607 305 543 1 326 1 669 … 617 1 450 509 876 356 294 473 711 240

1990 146 209 514 215 595 552 355 463 263 656 296 112 340 388 257 582 466 178 652 10 830 468 151 299 295 270 321 115 228 352 332 115 196 269 218 591 266 367 197 358 81 197 216 144 253 324 180 105 1 870 528 233 811 289 191 20 225 2 041 1 240 826 1 420 706 2 644 656 1 115 1 670 1 155 1 436 693 1 123 1 978 1 501 677

1980 145 234 482 201 504 543 343 521 267 625 278 130 367 361 256 599 393 187 659 10 141 399 114 285 255 266 305 112 229 358 283 103 212 250 207 556 265 334 194 351 76 186 197 135 243 295 162 112 1 672 545 241 719 311 169 18 388 1 911 1 430 780 1 170 624 2 322 … 1 031 1 540 1 141 1 278 706 976 1 666 1 248 565

1970 129 196 384 166 365 428 311 415 179 492 217 83 312 264 181 414 258 146 524 8 448 319 82 251 213 258 228 81 203 276 175 103 166 209 183 483 205 296 163 312 70 167 183 116 220 256 148 91 1 429 396 175 622 186 183 9 823 820 613 429 636 542 1 497 … 660 795 626 706 266 552 497 778 406

Square kilometers 55.4 1.4 199.6 1.7 158.1 3.0 180.6 2.7 73.8 4.0 99.9 1.2 153.7 3.0 89.2 148.6 2.9 89.6 4.1 2 114.7 136.7 1.6 87.6 93.0 90.5 2.6 2.5 93.2 133.6 94.1 .8 92.7 92.8 111.1 3.1 92.4 121.8 98.1 2.7 59.7 2.6 4.6 89.2 117.7 1.8 92.6 1.7 8.0 125.8 91.7 5.8 71.8 90.7 2 636.4 184.6 260.0 91.1 227.2 6.7 330.8 20.1 246.9 96.6 94.4 280.4 259.2 192.8 103.7 123.2 138.8

Square miles 21.4 .6 77.1 .7 61.1 1.2 69.7 1.0 28.5 1.5 38.6 .5 59.3 1.2 34.4 57.4 1.1 34.6 1.6 816.5 52.8 .6 33.8 35.9 34.9 1.0 .9 36.0 51.6 36.3 .3 35.8 35.8 42.9 1.2 35.7 47.0 37.9 1.0 23.1 1.0 1.8 34.4 45.5 .7 35.8 .6 3.1 48.6 35.4 2.3 27.7 35.0 1 017.9 71.3 100.4 35.2 87.7 2.6 127.7 7.7 95.3 37.3 36.4 108.3 100.1 74.4 40.0 47.6 53.6

Square kilometers 55.4 1.4 199.6 1.7 156.7 2.8 180.5 2.6 73.7 3.9 99.9 1.2 153.7 2.8 89.1 132.5 2.7 89.6 4.1 2 058.9 88.6 1.6 87.4 93.0 90.5 2.6 2.3 93.2 133.5 90.6 .8 92.7 92.8 111.1 3.1 92.3 121.6 98.1 2.7 59.7 2.6 4.6 89.2 117.7 1.6 92.6 1.7 8.0 125.7 91.7 5.8 68.9 90.7 2 260.6 162.1 212.2 81.3 208.7 6.2 259.8 13.0 215.1 84.6 78.6 244.1 230.3 159.0 86.4 107.3 124.7

Square miles 21.4 .5 77.1 .7 60.5 1.1 69.7 1.0 28.4 1.5 38.6 .5 59.3 1.1 34.4 51.2 1.1 34.6 1.6 795.0 34.2 .6 33.8 35.9 34.9 1.0 .9 36.0 51.5 35.0 .3 35.8 35.8 42.9 1.2 35.6 46.9 37.9 1.0 23.1 1.0 1.8 34.4 45.5 .6 35.8 .6 3.1 48.5 35.4 2.3 26.6 35.0 872.8 62.6 81.9 31.4 80.6 2.4 100.3 5.0 83.0 32.7 30.4 94.3 88.9 61.4 33.4 41.4 48.1

Square kilometer 7.2 350.7 6.7 271.2 10.0 456.4 5.4 400.4 12.1 397.7 8.5 240.8 6.3 338.9 8.0 10.1 384.8 5.3 364.4 12.4 13.8 228.1 9.7 11.8 7.7 314.2 110.0 5.8 6.9 7.3 332.5 6.2 7.7 5.0 415.5 7.0 7.5 4.8 283.7 3.2 156.5 91.3 2.9 5.1 484.4 4.5 121.8 490.3 11.9 5.8 321.7 6.3 5.2 7.8 15.6 4.2 9.4 4.5 221.6 9.4 109.5 3.9 27.3 8.3 4.9 2.0 3.0 15.3 11.1 2.8

Square mile 18.6 982.0 17.4 658.6 25.8 1 161.8 13.9 1 041.0 31.5 1 034.0 21.9 578.0 16.2 862.7 20.7 26.2 944.5 13.7 933.8 32.2 35.8 608.3 25.2 30.4 20.1 817.0 281.1 15.1 18.0 18.9 886.7 16.0 19.9 12.8 1 073.3 18.0 19.5 12.5 766.0 8.2 407.0 233.3 7.5 13.1 1 291.7 11.7 345.0 1 265.2 30.9 14.9 811.3 16.4 13.5 20.3 40.4 10.8 24.5 11.6 572.5 24.3 284.6 10.1 70.6 21.4 12.6 5.2 7.7 39.5 28.7 7.4

Square kilometer 2.6 149.3 2.6 126.5 3.8 197.1 2.0 178.1 3.6 168.2 3.0 93.3 2.2 138.6 2.9 4.4 172.6 2.0 159.0 5.3 5.3 94.4 3.4 3.2 3.0 123.5 50.0 2.4 2.6 3.7 143.8 2.1 2.9 2.0 190.6 2.9 3.0 2.0 132.6 1.4 75.8 47.0 1.6 2.1 202.5 1.9 61.8 233.8 4.2 2.5 139.8 4.2 2.1 8.9 12.6 5.8 10.2 6.8 113.9 10.2 50.5 5.2 19.7 14.7 5.9 3.0 7.1 22.9 14.0 5.4

Square mile 6.8 418.0 6.7 307.1 9.8 501.8 5.1 463.0 9.3 437.3 7.7 224.0 5.7 352.7 7.5 11.4 423.6 5.1 407.5 13.6 13.7 251.7 8.8 8.2 7.7 321.0 127.8 6.3 6.8 9.5 383.3 5.5 7.5 5.1 492.5 7.5 7.8 5.2 358.0 3.5 197.0 120.0 4.2 5.6 540.0 5.0 175.0 603.2 10.9 6.6 352.6 10.9 5.5 23.2 32.6 15.1 26.3 17.6 294.2 26.4 131.2 13.4 51.1 38.0 15.2 7.8 18.3 59.2 36.3 14.1

†

† †

†

† †

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 39 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 39

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Walworth County † Bloomfield town † Pell Lake CDP Powers Lake CDP (pt.) Burlington city (pt.) † Darien town Darien village † Delavan city † Delavan town † Delavan Lake CDP (pt.) East Troy town † Potter Lake CDP East Troy village † Elkhorn city † Fontana-on-Geneva Lake village Geneva town † Como CDP Genoa City village (pt.) † Lafayette town La Grange town Lake Geneva city † Linn town † Lyons town † Richmond town Sharon town † Sharon village † Spring Prairie town Sugar Creek town † Troy town Walworth town † Delavan Lake CDP (pt.) Walworth village Whitewater city (pt.) † Whitewater town † Williams Bay village Washburn County † Barronett town Bashaw town Bass Lake town Beaver Brook town † Birchwood town Birchwood village Brooklyn town Casey town Chicog town Crystal town Evergreen town Frog Creek town Gull Lake town Long Lake town Madge town Minong town Minong village Sarona town Shell Lake city Spooner city Spooner town Springbrook town Stinnett town Stone Lake town Trego town

1990 75 000 3 723 2 018 292 4 1 490 1 158 6 073 4 195 2 055 3 687 1 096 2 664 5 337 1 635 3 472 1 353 1 277 1 276 1 643 5 979 2 062 2 579 1 405 1 016 1 250 1 752 2 661 2 051 1 341 122 1 614 10 170 1 378 2 108 13 772 373 756 337 580 329 443 276 401 182 279 910 155 148 583 349 730 521 391 1 161 2 464 644 403 202 446 709 95 3 2 2 2 13 8 3 3 2 328 051 637 817 523 258 658 179 243 172 486 84 2 2 2 2

1980 71 507 r3 277 1 826 320 – 1 495 1 152 5 684 4 182 1 936 3 583 1 068 2 385 4 605 1 764 3 933 1 376 1 202 1 024 1 661 r5 612 r2 064 r2 659 1 649 945 1 280 1 777 2 599 1 794 1 443 146 1 607 9 098 1 270 1 763 13 174 371 724 252 603 252 437 273 404 168 276 798 142 141 508 317 761 557 394 1 135 2 365 600 441 179 379 697 848 834 493 455 386 267 729 159 269 180 817 63 2 1 1 1 6 6 2 2

1970 63 444 2 481 1 284 … … 1 413 839 5 526 3 798 2 124 2 743 … 1 711 3 992 1 464 3 490 1 132 1 085 979 1 311 4 890 1 910 2 143 1 251 1 058 1 216 1 197 1 811 1 265 1 370 … 1 637 10 129 1 181 1 554 10 601 366 527 211 400 196 394 191 280 156 225 561 125 111 422 144 445 420 352 928 2 444 351 410 134 339 469 839 375 624 641 734 416 974 499 368 844 561

1990 36 937 2 074 1 207 243 1 561 411 2 427 2 847 1 921 1 565 414 999 2 202 1 987 2 100 1 000 502 485 1 414 3 184 1 911 1 061 805 352 466 629 1 060 780 529 65 694 3 492 740 1 659 9 829 173 327 210 240 475 252 199 625 447 178 445 102 177 569 364 1 124 262 237 782 1 151 380 267 105 283 455 34 382 959 839 968 858 82 5 100 3 128 1 154 1 012 981

1980 33 397 r1 919 1 224 232 – 484 394 2 143 2 661 1 787 1 488 393 892 1 873 1 681 2 162 1 009 518 372 1 172 r2 824 r1 822 r989 792 311 443 591 1 011 703 483 70 669 2 959 654 1 387 8 716 159 291 156 234 384 256 190 563 355 137 416 105 145 556 292 957 231 162 729 1 048 369 253 84 225 419 28 363 836 733 811 731 77 3 560 r2 655 r1 052 936 700

1970 25 773 1 634 1 081 … … 399 269 1 837 2 442 1 876 1 174 … 580 1 423 1 063 1 610 916 337 276 915 1 972 1 472 652 622 294 390 372 739 501 437 … 561 2 215 506 1 081 5 736 125 187 92 134 269 192 122 289 205 88 241 49 80 379 153 445 163 144 560 930 182 192 66 169 280 18 692 587 437 479 525 117 1 787 2 084 696 719 169

Square kilometers 1 493.3 88.7 10.1 2.7 .4 90.4 2.0 14.2 76.6 13.8 85.9 4.3 6.9 12.5 10.4 82.9 9.1 3.5 90.0 92.5 14.2 87.7 90.5 93.2 92.2 2.3 92.8 89.8 91.9 77.0 1.7 3.4 10.7 82.4 8.3 2 209.6 87.2 87.8 85.9 85.3 181.2 3.3 94.1 88.5 118.1 92.4 90.3 185.3 93.8 97.8 88.2 184.7 3.2 86.3 26.5 7.7 54.4 89.8 92.3 90.2 95.2 1 129.0 93.7 52.6 94.0 95.0 4.5 89.2 11.3 83.5 90.3 4.3

Square miles 576.6 34.3 3.9 1.0 .1 34.9 .8 5.5 29.6 5.3 33.2 1.7 2.7 4.8 4.0 32.0 3.5 1.4 34.7 35.7 5.5 33.8 34.9 36.0 35.6 .9 35.8 34.7 35.5 29.7 .6 1.3 4.1 31.8 3.2 853.1 33.7 33.9 33.1 32.9 70.0 1.3 36.3 34.2 45.6 35.7 34.9 71.6 36.2 37.8 34.1 71.3 1.2 33.3 10.2 3.0 21.0 34.7 35.7 34.8 36.8 435.9 36.2 20.3 36.3 36.7 1.7 34.5 4.4 32.3 34.9 1.7

Square kilometers 1 438.5 86.6 9.7 2.2 .4 90.3 2.0 13.1 69.3 7.5 81.2 3.6 6.7 12.4 7.5 78.9 7.9 3.5 90.0 88.9 12.1 74.3 89.9 91.5 92.2 2.3 92.6 87.7 90.1 75.4 1.7 3.4 9.9 79.9 6.2 2 097.2 84.9 86.9 83.7 84.0 165.3 2.9 92.5 80.6 112.9 90.8 86.9 183.9 90.8 84.5 82.8 167.2 3.2 82.7 16.0 7.5 49.3 88.5 89.2 87.2 93.1 1 115.9 93.7 52.0 92.9 94.2 4.5 89.1 11.1 81.6 90.1 4.3

Square miles 555.4 33.4 3.8 .8 .1 34.9 .8 5.1 26.8 2.9 31.4 1.4 2.6 4.8 2.9 30.5 3.0 1.4 34.7 34.3 4.7 28.7 34.7 35.3 35.6 .9 35.8 33.9 34.8 29.1 .6 1.3 3.8 30.8 2.4 809.7 32.8 33.5 32.3 32.4 63.8 1.1 35.7 31.1 43.6 35.1 33.6 71.0 35.1 32.6 32.0 64.5 1.2 31.9 6.2 2.9 19.0 34.2 34.4 33.7 35.9 430.8 36.2 20.1 35.9 36.4 1.7 34.4 4.3 31.5 34.8 1.7

Square kilometer 52.1 43.0 208.0 132.7 10.0 16.5 579.0 463.6 60.5 274.0 45.4 304.4 397.6 430.4 218.0 44.0 171.3 364.9 14.2 18.5 494.1 27.8 28.7 15.4 11.0 543.5 18.9 30.3 22.8 17.8 71.8 474.7 1 027.3 17.2 340.0 6.6 4.4 8.7 4.0 6.9 2.0 152.8 3.0 5.0 1.6 3.1 10.5 .8 1.6 6.9 4.2 4.4 162.8 4.7 72.6 328.5 13.1 4.6 2.3 5.1 7.6 85.4 32.6 50.7 30.3 26.8 57.3 153.3 736.8 39.7 35.2 578.1

Square mile 135.0 111.5 531.1 365.0 40.0 42.7 447.5 190.8 156.5 708.6 117.4 782.9 024.6 111.9 563.8 113.8 451.0 912.1 36.8 47.9 272.1 71.8 74.3 39.8 28.5 388.9 48.9 78.5 58.9 46.1 203.3 241.5 676.3 44.7 878.3 17.0 11.4 22.6 10.4 17.9 5.2 402.7 7.7 12.9 4.2 7.9 27.1 2.2 4.2 17.9 10.9 11.3 434.2 12.3 187.3 849.7 33.9 11.8 5.9 13.2 19.7 221.3 84.3 131.2 78.5 69.3 151.8 397.0 1 902.1 103.0 91.1 1 462.4

Square kilometer 25.7 23.9 124.4 110.5 2.5 6.2 205.5 185.3 41.1 256.1 19.3 115.0 149.1 177.6 264.9 26.6 126.6 143.4 5.4 15.9 263.1 25.7 11.8 8.8 3.8 202.6 6.8 12.1 8.7 7.0 38.2 204.1 352.7 9.3 267.6 4.7 2.0 3.8 2.5 2.9 2.9 86.9 2.2 7.8 4.0 2.0 5.1 .6 1.9 6.7 4.4 6.7 81.9 2.9 48.9 153.5 7.7 3.0 1.2 3.2 4.9 30.8 10.2 16.1 10.4 9.1 18.2 57.2 281.8 14.1 11.2 228.1

Square mile 66.5 62.1 317.6 303.8 10.0 16.1 513.8 475.9 106.2 662.4 49.8 295.7 384.2 458.8 685.2 68.9 333.3 358.6 14.0 41.2 677.4 66.6 30.6 22.8 9.9 517.8 17.6 31.3 22.4 18.2 108.3 533.8 918.9 24.0 691.3 12.1 5.3 9.8 6.5 7.4 7.4 229.1 5.6 20.1 10.3 5.1 13.2 1.4 5.0 17.5 11.4 17.4 218.3 7.4 126.1 396.9 20.0 7.8 3.1 8.4 12.7 79.8 26.5 41.7 27.0 23.6 48.2 148.3 727.4 36.6 29.1 577.1

1 1

1 1

1

1

1 2

† †

Washington County † Addison town Barton town † Erin town Farmington town Germantown town Germantown village Hartford city (pt.) † Hartford town † Jackson town † Jackson village †

10 r7 r3 3 1

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 40 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

40 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Washington County † Con. Kewaskum town † Kewaskum village (pt.) † Milwaukee city (pt.) † Newburg village (pt.) † Polk town † Richfield town Slinger village † Trenton town † Wayne town West Bend city † West Bend town † Waukesha County † Big Bend village † Brookfield city † Brookfield town † Butler village Chenequa village Delafield city † Delafield town † Dousman village † Eagle town † Eagle village † Elm Grove village Genesee town Hartland village † Lac La Belle village Lannon village Lisbon town † Menomonee Falls village Merton town † Merton village Milwaukee city (pt.) † Mukwonago town † Mukwonago village † Muskego city † Nashotah village New Berlin city † North Prairie village Oconomowoc city † Oconomowoc town † Okauchee Lake CDP Oconomowoc Lake village Ottawa town † Pewaukee town † Pewaukee village † Summit town † Sussex village † Vernon town † Wales village Waukesha city † Waukesha town † Waupaca County † Bear Creek town Big Falls village Caledonia town Clintonville city Dayton town Chain O’ Lakes-King Dupont town Embarrass village Farmington town Chain O’ Lakes-King Fremont town † Fremont village Harrison town Helvetia town Iola town Iola village Larrabee town † Lebanon town Lind town † Little Wolf town

1990 1 139 2 514 – 853 3 540 8 993 2 340 4 028 1 374 23 916 4 607 304 1 35 4 2 5 5 1 2 1 715 299 184 232 079 601 347 735 277 028 182

1980 1 243 2 381 2 688 3 486 8 390 1 612 3 914 1 471 21 484 3 588 r280 1 34 4 2 4 4 1 1 1 203 345 035 364 059 532 083 597 153 758 008

1970 1 166 1 926 – … 2 846 5 923 1 216 3 178 1 214 16 555 2 779 231 1 31 4 2 335 148 761 303 261 642 3 182 3 750 451 1 250 745

1990 366 943 – 294 224 980 899 269 433 887 006

1980 372 802 1 236 212 565 544 147 419 483 491

1970 321 586 – … 761 1 692 339 888 311 4 913 1 281 65 241 315 8 323 1 084 623 301 1 106 1 123 132 498 221 1 795 884 802 73 335 1 237 8 092 1 612 171 … 631 703 3 106 139 6 839 203 2 922 2 229 1 425 206 601 1 946 921 1 340 689 719 191 11 901 1 228 13 974 238 53 233 1 734 667 … 183 116 895 … 222 225 194 195 277 352 380 229 391 317

Square kilometers 59.3 3.6 .1 1.9 87.7 94.3 5.8 88.9 92.7 26.6 49.6 1 503.5 2.0 69.6 15.0 2.0 12.1 28.2 56.0 2.8 91.4 2.7 8.4 85.1 8.2 1.3 6.3 83.0 86.2 75.0 6.0 .2 89.0 6.6 92.9 4.3 95.6 3.5 16.3 86.2 12.8 8.1 91.8 64.9 11.0 75.2 10.1 88.9 5.9 45.0 66.6 1 982.3 94.9 1.3 72.7 10.4 94.3 7.4 91.2 3.1 92.9 6.7 52.0 3.0 95.7 93.8 89.7 3.9 87.7 93.4 93.5 88.2

Square miles 22.9 1.4 – .7 33.9 36.4 2.3 34.3 35.8 10.3 19.1 580.5 .8 26.9 5.8 .8 4.7 10.9 21.6 1.1 35.3 1.0 3.3 32.8 3.2 .5 2.4 32.0 33.3 28.9 2.3 .1 34.4 2.5 35.9 1.7 36.9 1.4 6.3 33.3 4.9 3.1 35.5 25.0 4.3 29.0 3.9 34.3 2.3 17.4 25.7 765.4 36.7 .5 28.1 4.0 36.4 2.9 35.2 1.2 35.9 2.6 20.1 1.2 36.9 36.2 34.6 1.5 33.9 36.1 36.1 34.1

Square kilometers 59.2 3.6 .1 1.9 86.9 92.9 5.8 88.7 92.7 26.0 44.4 1 439.0 1.9 69.5 14.9 2.0 9.2 24.1 50.6 2.7 90.3 2.7 8.4 84.8 8.2 1.3 6.3 82.9 86.2 68.5 5.9 .2 86.1 6.4 80.9 4.2 95.4 3.5 15.0 77.6 9.0 4.7 90.2 61.1 10.3 68.0 10.1 87.7 5.9 44.8 66.3 1 945.5 94.9 1.3 72.1 10.3 91.3 6.1 90.3 3.1 90.3 4.8 49.4 2.7 95.5 93.1 87.6 3.5 87.1 93.4 93.1 87.1

Square miles 22.9 1.4 – .7 33.6 35.9 2.2 34.3 35.8 10.0 17.2 555.6 .8 26.8 5.8 .8 3.5 9.3 19.5 1.0 34.9 1.0 3.3 32.7 3.1 .5 2.4 32.0 33.3 26.4 2.3 .1 33.2 2.5 31.2 1.6 36.8 1.4 5.8 30.0 3.5 1.8 34.8 23.6 4.0 26.2 3.9 33.9 2.3 17.3 25.6 751.1 36.7 .5 27.8 4.0 35.2 2.4 34.9 1.2 34.9 1.8 19.1 1.0 36.9 35.9 33.8 1.4 33.6 36.1 35.9 33.6

Square kilometer 19.2 698.3 – 448.9 40.7 96.8 403.4 45.4 14.8 919.8 103.8 211.8 683.7 506.2 284.0 1 039.5 65.3 221.9 113.3 473.0 22.5 437.8 745.4 70.6 842.2 198.5 146.7 99.8 311.4 93.9 203.2 – 69.4 696.4 207.8 135.0 352.1 377.7 732.9 94.4 424.3 104.9 33.1 157.5 479.7 58.9 498.9 86.1 418.8 1 271.4 114.1 23.7 8.3 57.7 16.3 422.4 21.8 100.0 7.0 148.7 39.9 220.2 11.4 234.1 4.5 6.3 7.3 321.4 15.9 13.8 12.4 15.2

Square mile 49.7 1 795.7 – 1 218.6 105.4 250.5 1 063.6 117.4 38.4 2 391.6 267.8 548.4 1 623.8 1 312.8 729.7 2 598.8 171.7 574.9 294.1 1 277.0 58.1 1 182.0 1 897.3 183.1 2 227.7 516.0 385.0 258.7 806.0 243.6 521.3 – 179.9 1 782.8 538.9 354.4 912.8 944.3 1 895.3 244.1 1 091.1 273.9 85.9 407.7 1 235.3 152.8 1 292.1 222.7 1 074.3 3 292.4 295.5 61.4 21.4 150.0 42.3 1 087.8 56.6 254.2 18.2 384.2 103.2 587.2 29.4 632.0 11.7 16.4 18.8 803.6 41.3 35.7 32.2 39.5

Square kilometer 6.2 261.9 – 154.7 14.1 32.1 155.0 14.3 4.7 341.8 45.2 76.8 223.7 176.3 96.0 474.5 31.7 90.1 37.8 136.7 8.4 148.1 285.5 22.1 296.1 74.6 58.4 32.9 116.5 35.3 62.0 – 21.5 256.7 71.2 44.8 126.9 118.3 290.0 36.6 178.6 46.0 11.4 55.9 194.6 23.5 178.5 25.8 124.1 492.5 37.6 10.4 2.9 38.5 6.1 188.4 13.7 81.5 2.7 47.7 16.5 119.6 5.1 126.3 3.4 4.1 4.9 157.1 5.8 4.6 5.9 5.8

Square mile 16.0 673.6 – 420.0 36.4 83.0 408.6 37.0 12.1 888.7 116.6 198.8 531.3 457.2 246.6 1 186.3 83.4 233.5 98.2 369.0 21.9 400.0 726.7 57.2 783.2 194.0 153.3 85.3 301.6 91.7 159.1 – 55.6 657.2 184.6 117.5 328.9 295.7 750.0 94.7 459.1 120.0 29.6 144.7 501.0 60.9 462.3 66.9 318.3 1 275.4 97.3 26.8 7.4 100.0 15.8 485.3 35.5 207.1 7.0 123.3 42.6 318.9 13.1 341.0 8.9 10.6 12.6 392.9 15.1 11.8 15.4 15.1

1 2 1 8 2

1 2 1 7 1

110 452 425 12 254 1 430 949 292 2 172 1 915 369 763 400 2 398 1 871 2 428 97 368 2 728 10 043 2 421 366 – 1 847 1 643 5 759 188 12 102 414 4 350 2 841 1 607 216 1 030 3 415 2 004 1 596 1 803 2 267 732 22 065 2 491 20 141 271 50 438 1 941 1 249 497 245 148 1 486 574 251 341 328 379 426 550 506 425 553 507

r92 583 405 10 539 1 300 828 252 1 562 1 490 315 667 326 2 246 1 500 1 912 90 365 2 461 9 067 2 198 307 … 1 534 1 343 4 581 174 9 546 304 3 642 2 687 1 642 209 880 2 683 1 785 r1 503 1 081 1 828 573 r18 365 r2 035 18 142 268 64 333 1 961 1 036 … 281 139 1 166 … 303 303 340 327 398 497 428 360 496 414

†

6 261 5 986 6 906 258 924 8 277 26 840 6 430 1 199 – 5 974 4 457 16 813 567 33 592 1 322 10 993 7 323 3 819 493 2 988 9 621 4 941 4 003 5 039 7 549 2 471 56 958 7 566 46 104 787 75 1 177 4 351 1 992 610 634 461 3 602 1 057 561 632 432 587 637 1 125 1 388 1 290 1 157 1 326

6 735 5 126 5 559 289 987 8 352 27 845 6 025 1 045 … 4 979 4 014 15 277 513 30 529 938 9 909 7 340 3 958 524 2 795 8 922 4 637 r4 050 3 482 6 372 1 992 r50 365 r6 668 42 831 820 107 1 040 4 567 1 514 … 615 496 2 959 … 618 510 450 568 702 957 1 254 1 168 1 038 1 138

7 201 3 172 2 763 227 1 056 4 709 31 697 4 424 646 … 1 930 2 367 11 573 410 26 910 669 8 741 6 010 3 134 599 1 698 7 551 3 271 3 809 2 758 2 857 691 39 695 4 408 37 780 861 112 882 4 600 979 … 645 472 2 242 … 514 598 379 401 549 900 1 295 906 787 1 089

† CDP (pt.) † CDP (pt.) †

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 41 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 41

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Waupaca County † Con. Manawa city Marion city Matteson town † Mukwa town † New London city (pt.) † Ogdensburg village Royalton town St. Lawrence town Scandinavia town Scandinavia village Union town Waupaca city † Waupaca town † Weyauwega city Weyauwega town Wyoming town Waushara County † Aurora town Berlin city (pt.) † Bloomfield town Coloma town † Coloma village † Dakota town Deerfield town Hancock town † Hancock village † Leon town Lohrville village Marion town Mount Morris town Oasis town Plainfield town † Plainfield village † Poysippi town Redgranite village † Richford town Rose town † Saxeville town Springwater town † Warren town † Wautoma city † Wautoma town † Wild Rose village † Winnebago County † Algoma town † Appleton city (pt.) † Black Wolf town † Clayton town Menasha city (pt.) † Menasha town † Neenah city † Neenah town † Nekimi town † Nepeuskun town Omro city † Omro town † Oshkosh city † Oshkosh town † Poygan town Rushford town Utica town Vinland town Winchester town Winneconne town † Winneconne village † Wolf River town

1990 1 169 1 242 889 2 304 5 321 220 1 458 697 890 298 733 4 957 1 111 1 665 653 283 19 385 846 67 922 499 383 1 092 454 467 382 992 368 1 478 767 389 529 839 929 1 009 455 486 846 1 088 550 1 784 1 088 676 140 320 3 442 443 2 154 2 264 14 638 13 975 23 219 2 691 1 525 647 2 1 55 4 1 1 1 1 1 2 1 836 616 006 655 824 361 046 688 433 761 059 037

1980 1 205 1 348 844 1 946 4 941 214 1 432 608 772 292 784 4 472 1 040 1 549 559 304 18 526 890 91 931 437 367 994 445 426 419 844 336 1 333 685 403 574 813 913 976 404 515 776 924 573 1 629 1 087 741 r131 772 3 249 r5 2 318 2 353 14 728 r12 307 22 432 2 864 1 516 682 2 1 49 4 1 1 1 1 1 1 1 763 684 620 420 898 420 038 632 261 595 935 052

1970 1 105 1 218 737 1 208 4 433 206 1 205 517 519 268 774 4 342 830 1 377 538 292 14 795 802 41 798 382 336 752 367 346 404 651 213 877 517 346 447 642 823 645 322 319 612 584 637 1 624 723 585 129 946 3 158 – 2 127 1 771 14 836 8 682 22 902 2 942 1 193 743 2 1 53 4 1 1 1 1 1 1 341 444 082 943 734 415 029 472 209 408 611 904

1990 493 554 349 869 2 112 88 604 315 422 145 323 2 190 428 674 293 188 12 246 339 27 416 447 196 653 360 341 232 811 174 1 417 867 259 228 370 419 474 244 314 585 1 108 292 815 515 343 56 123 1 250 287 916 832 6 142 5 514 9 261 1 001 516 251 1 093 665 21 827 1 512 478 552 391 627 535 880 880 713

1980 492 553 297 754 1 878 96 560 259 374 133 308 1 901 361 662 241 159 11 242 346 37 383 265 184 550 380 293 205 671 166 1 255 774 249 230 336 371 412 205 274 500 1 358 283 733 481 301 r49 751 1 118 r2 920 763 5 741 r4 322 8 310 925 478 234 1 009 631 19 047 1 440 476 513 353 564 480 791 791 843

1970 398 446 221 470 1 489 88 428 203 210 117 266 1 567 277 540 223 130 8 037 288 15 296 285 157 357 256 236 168 463 74 840 547 308 208 284 311 259 153 150 409 633 188 616 299 237 40 133 954 – 755 503 4 570 2 408 6 892 815 333 249 792 434 16 461 1 269 398 440 291 450 385 652 570 512

Square kilometers 4.3 5.0 96.2 86.1 8.0 2.7 93.5 90.6 89.2 2.6 93.6 13.8 81.0 3.2 56.9 93.8 1 651.0 90.1 1.6 92.9 86.1 2.8 88.3 90.7 87.4 3.0 94.1 3.2 90.6 91.2 91.4 88.0 3.4 93.1 5.2 90.0 90.5 94.7 90.4 85.0 5.1 89.0 3.3 1 499.0 34.9 .9 108.8 94.5 14.8 36.8 20.6 48.6 78.1 93.7 5.4 92.4 51.9 163.4 107.9 92.1 92.9 94.0 94.6 87.0 4.8 78.9

Square miles 1.7 1.9 37.1 33.2 3.1 1.0 36.1 35.0 34.4 1.0 36.1 5.3 31.3 1.2 22.0 36.2 637.4 34.8 .6 35.9 33.2 1.1 34.1 35.0 33.7 1.2 36.3 1.2 35.0 35.2 35.3 34.0 1.3 35.9 2.0 34.7 34.9 36.6 34.9 32.8 2.0 34.3 1.3 578.8 13.5 .3 42.0 36.5 5.7 14.2 8.0 18.8 30.1 36.2 2.1 35.7 20.0 63.1 41.7 35.6 35.9 36.3 36.5 33.6 1.8 30.5

Square kilometers 4.1 4.8 95.0 81.7 7.9 2.5 87.6 89.9 88.1 2.2 93.0 13.5 80.7 2.9 51.9 93.6 1 621.6 89.2 1.5 91.7 85.6 2.8 86.7 89.8 86.6 2.9 93.2 3.2 86.9 88.6 90.7 87.9 3.4 83.7 5.2 89.5 90.4 93.4 87.0 84.8 4.9 88.6 3.3 1 136.1 28.2 .9 40.7 94.5 11.1 32.6 19.2 25.5 78.1 82.7 5.1 85.9 46.5 36.0 60.5 90.8 92.9 75.2 92.7 57.4 3.7 76.0

Square miles 1.6 1.9 36.7 31.5 3.0 1.0 33.8 34.7 34.0 .9 35.9 5.2 31.2 1.1 20.1 36.1 626.1 34.4 .6 35.4 33.1 1.1 33.5 34.7 33.4 1.1 36.0 1.2 33.6 34.2 35.0 34.0 1.3 32.3 2.0 34.6 34.9 36.1 33.6 32.7 1.9 34.2 1.3 438.6 10.9 .3 15.7 36.5 4.3 12.6 7.4 9.8 30.1 31.9 2.0 33.2 17.9 13.9 23.3 35.1 35.9 29.0 35.8 22.1 1.4 29.4

Square kilometer 285.1 258.8 9.4 28.2 673.5 88.0 16.6 7.8 10.1 135.5 7.9 367.2 13.8 574.1 12.6 3.0 12.0 9.5 44.7 10.1 5.8 136.8 12.6 5.1 5.4 131.7 10.6 115.0 17.0 8.7 4.3 6.0 246.8 11.1 194.0 5.1 5.4 9.1 12.5 6.5 364.1 12.3 204.8 123.5 122.1 492.2 52.9 24.0 1 318.7 428.7 1 209.3 105.5 19.5 7.8 556.1 18.8 1 182.9 129.3 13.6 15.0 11.3 22.4 15.5 30.7 556.5 13.6

Square mile 730.6 653.7 24.2 73.1 1 773.7 220.0 43.1 20.1 26.2 331.1 20.4 953.3 35.6 1 513.6 32.5 7.8 31.0 24.6 111.7 26.0 15.1 348.2 32.6 13.1 14.0 347.3 27.6 306.7 44.0 22.4 11.1 15.6 645.4 28.8 504.5 13.2 13.9 23.4 32.4 16.8 938.9 31.8 520.0 319.9 315.8 1 476.7 137.2 62.0 3 404.2 1 109.1 3 137.7 274.6 50.7 20.3 1 418.0 48.7 3 073.0 334.9 35.4 38.8 29.1 58.2 40.0 79.7 1 470.7 35.3

Square kilometer 120.2 115.4 3.7 10.6 267.3 35.2 6.9 3.5 4.8 65.9 3.5 162.2 5.3 232.4 5.6 2.0 7.6 3.8 18.0 4.5 5.2 70.0 7.5 4.0 3.9 80.0 8.7 54.4 16.3 9.8 2.9 2.6 108.8 5.0 91.2 2.7 3.5 6.3 12.7 3.4 166.3 5.8 103.9 49.4 44.3 318.9 22.5 8.8 553.3 169.1 482.3 39.3 6.6 3.0 214.3 7.7 469.4 42.0 7.9 6.1 4.2 8.3 5.8 15.3 237.8 9.4

Square mile 308.1 291.6 9.5 27.6 704.0 88.0 17.9 9.1 12.4 161.1 9.0 421.2 13.7 612.7 14.6 5.2 19.6 9.9 45.0 11.8 13.5 178.2 19.5 10.4 10.2 210.9 22.5 145.0 42.2 25.4 7.4 6.7 284.6 13.0 237.0 7.1 9.0 16.2 33.0 8.9 428.9 15.1 263.8 128.0 114.7 956.7 58.3 22.8 1 428.4 437.6 1 251.5 102.1 17.1 7.9 546.5 20.0 1 219.4 108.8 20.5 15.7 10.9 21.6 14.9 39.8 628.6 24.3

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 42 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

42 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 8.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

State County County Subdivision Place
Wood County † Arpin town Arpin village Auburndale town Auburndale village Biron village † Cameron town † Cary town Cranmoor town Dexter town Grand Rapids town † Lake Wazeecha CDP Hansen town Hewitt village Hiles town Lincoln town Marshfield city (pt.) † Marshfield town † Milladore town Milladore village (pt.) Nekoosa city † Pittsville city Port Edwards town Port Edwards village Remington town Richfield town Rock town Rudolph town Rudolph village Saratoga town † Seneca town † Sherry town Sigel town Vesper village Wisconsin Rapids city Wood town † †

1990 73 605 806 312 844 665 794 522 385 185 354 7 071 2 278 698 595 144 1 429 18 859 769 719 314 2 557 838 1 351 1 848 304 1 344 764 1 180 451 4 775 1 133 787 1 192 598 18 245 773

1980 72 799 764 361 942 641 698 590 382 234 429 7 319 2 176 705 470 194 1 269 18 053 784 760 240 2 519 810 1 387 2 077 299 1 235 745 1 385 392 4 363 1 245 790 1 332 554 17 995 836

1970 65 362 1 088 … 911 468 771 503 343 248 341 5 147 1 285 712 … 189 1 232 15 560 1 056 728 229 2 409 708 1 076 2 126 319 1 054 607 1 340 349 2 978 1 077 742 1 358 355 18 587 751

1990 28 839 251 119 282 249 353 181 211 73 197 2 417 798 238 192 93 476 7 852 262 241 113 1 008 327 505 689 195 384 295 404 166 1 693 383 252 400 219 7 833 286

1980 26 186 227 136 257 221 258 179 160 69 175 2 389 711 228 145 93 384 6 977 240 233 107 941 297 439 684 126 343 267 394 135 1 430 367 243 399 191 7 192 260

1970 19 744 303 … 220 148 243 136 126 76 131 1 443 380 187 … 73 311 4 888 270 191 80 773 252 296 609 118 267 197 335 88 855 257 199 340 126 6 000 206

Square kilometers 2 096.6 85.5 2.2 83.6 5.3 15.3 19.6 91.0 109.7 92.0 59.2 10.2 87.7 2.1 91.5 88.9 26.5 44.4 88.1 2.6 8.8 5.2 101.6 18.9 185.3 90.2 89.5 77.3 2.5 132.5 84.1 91.6 92.1 2.9 32.5 86.4

Square miles 809.5 33.0 .8 32.3 2.1 5.9 7.6 35.1 42.3 35.5 22.8 3.9 33.9 .8 35.3 34.3 10.2 17.2 34.0 1.0 3.4 2.0 39.2 7.3 71.5 34.8 34.5 29.9 1.0 51.2 32.5 35.4 35.5 1.1 12.5 33.4

Square kilometers 2 053.5 85.5 2.2 83.6 5.3 10.9 19.6 90.7 95.2 88.6 58.6 9.7 87.7 2.1 90.2 88.8 26.4 44.4 88.1 2.6 8.8 5.2 100.0 15.6 179.7 90.1 89.4 77.3 2.5 128.0 83.6 91.3 92.0 2.9 30.3 86.3

Square miles 792.9 33.0 .8 32.3 2.1 4.2 7.6 35.0 36.7 34.2 22.6 3.8 33.9 .8 34.8 34.3 10.2 17.1 34.0 1.0 3.4 2.0 38.6 6.0 69.4 34.8 34.5 29.8 1.0 49.4 32.3 35.3 35.5 1.1 11.7 33.3

Square kilometer 35.8 9.4 141.8 10.1 125.5 72.8 26.6 4.2 1.9 4.0 120.7 234.8 8.0 283.3 1.6 16.1 714.4 17.3 8.2 120.8 290.6 161.2 13.5 118.5 1.7 14.9 8.5 15.3 180.4 37.3 13.6 8.6 13.0 206.2 602.1 9.0

Square mile 92.8 24.4 390.0 26.1 316.7 189.0 68.7 11.0 5.0 10.4 312.9 599.5 20.6 743.8 4.1 41.7 1 848.9 45.0 21.1 314.0 752.1 419.0 35.0 308.0 4.4 38.6 22.1 39.6 451.0 96.7 35.1 22.3 33.6 543.6 1 559.4 23.2

Square kilometer 14.0 2.9 54.1 3.4 47.0 32.4 9.2 2.3 .8 2.2 41.2 82.3 2.7 91.4 1.0 5.4 297.4 5.9 2.7 43.5 114.5 62.9 5.1 44.2 1.1 4.3 3.3 5.2 66.4 13.2 4.6 2.8 4.3 75.5 258.5 3.3

Square mile 36.4 7.6 148.8 8.7 118.6 84.0 23.8 6.0 2.0 5.8 106.9 210.0 7.0 240.0 2.7 13.9 769.8 15.3 7.1 113.0 296.5 163.5 13.1 114.8 2.8 11.0 8.6 13.6 166.0 34.3 11.9 7.1 11.3 199.1 669.5 8.6

†

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 43 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 43

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Abbotsford city Clark County Marathon County Abrams town, Oconto County Ackley town, Langlade County Adams city, Adams County Adams town, Adams County Adams town, Green County Adams town, Jackson County Addison town, Washington County Adell village, Sheboygan County Adrian town, Monroe County Agenda town, Ashland County Ahnapee town, Kewaunee County Ainsworth town, Langlade County Akan town, Richland County Alban town, Portage County Albany village, Green County Albany town, Green County Albany town, Pepin County Albion town, Dane County Albion town, Jackson County Albion town, Trempealeau County Alden town, Polk County Algoma city, Kewaunee County Algoma town, Winnebago County Allouez village, Brown County Allouez village, Brown County Alma city, Buffalo County Alma town, Buffalo County Alma town, Jackson County Alma Center village, Jackson County Almena village, Barron County Almena town, Barron County Almon town, Shawano County Almond village, Portage County Almond town, Portage County Alto town, Fond du Lac County Altoona city, Eau Claire County Alvin town, Forest County Amberg town, Marinette County Amery city, Polk County Amherst village, Portage County Amherst town, Portage County Amherst Junction village, Portage County Amnicon town, Douglas County Anderson town, Burnett County Anderson town, Iron County Angelica town, Shawano County Angelo town, Monroe County Aniwa village, Shawano County Aniwa town, Shawano County Anson town, Chippewa County Antigo city, Langlade County Antigo town, Langlade County Apple River town, Polk County Appleton city Calumet County Outagamie County Winnebago County Arbor Vitae town, Vilas County Arcadia city, Trempealeau County Arcadia town, Trempealeau County Arena village, Iowa County Arena town, Iowa County Argonne town, Forest County Argyle village, Lafayette County Argyle town, Lafayette County Arland town, Barron County Arlington village, Columbia County Arlington town, Columbia County Armenia town, Juneau County Armstrong town, Oconto County 1 916 1 409 507 1 347 550 1 715 1 170 452 1 167 3 051 510 520 591 941 474 444 860 1 140 598 507 1 964 904 696 2 133 3 353 3 442 14 431 14 431 790 479 831 416 625 773 557 455 590 1 145 5 889 145 917 2 657 792 1 335 269 929 324 69 1 417 1 219 249 601 1 634 8 276 1 406 815 65 695 9 075 56 177 443 2 531 2 166 1 710 525 1 301 497 798 424 609 440 748 592 730 1980 1 901 1 401 500 1 181 639 1 744 961 484 1 300 2 834 545 403 623 948 447 483 768 1 051 657 586 1 918 976 605 1 862 3 656 3 249 … … r848 397 696 454 526 776 632 477 624 1 176 4 393 195 852 2 404 701 1 215 225 916 265 91 1 522 1 189 273 612 1 590 8 653 1 661 819 r58 913 5 484 r53 424 r5 2 303 2 109 1 919 451 1 292 469 720 498 692 440 752 545 735 1970 1 375 1 108 267 884 681 1 440 692 484 980 2 375 380 405 512 878 348 489 606 875 551 565 1 926 914 561 1 406 4 023 3 158 … … 956 371 668 495 423 731 505 440 529 1 139 2 842 159 665 2 126 585 936 141 898 193 92 1 433 996 233 598 1 446 9 005 1 692 544 56 377 3 401 52 976 – 982 2 159 1 697 377 1 084 390 673 531 605 379 701 288 530 1990 800 602 198 535 235 791 723 169 678 959 189 179 309 406 486 197 466 471 225 163 817 383 260 056 564 250 066 066 396 175 343 181 270 609 244 201 240 349 397 322 922 132 340 493 108 347 262 76 508 432 109 210 655 619 539 570 1980 773 581 192 396 222 737 621 166 573 836 189 132 265 350 376 192 400 435 236 164 808 355 201 942 1 530 1 118 … … r420 137 287 185 238 522 230 221 229 341 1 677 293 784 1 027 301 449 112 323 181 94 480 392 102 183 584 3 498 540 488 r21 577 1 825 r19 750 r2 1 911 838 611 173 503 294 336 174 232 167 256 378 1 064 1970 493 394 99 294 183 550 304 147 496 587 135 104 187 257 219 153 313 341 179 129 726 281 163 641 1 417 954 … … 393 107 240 160 164 410 173 188 230 288 894 188 465 775 229 342 60 239 108 78 430 334 88 139 482 3 153 466 332 17 206 910 16 296 – 820 714 492 137 329 153 287 159 189 140 196 169 673

Square kilometers 5.0 2.9 2.1 97.3 184.0 7.5 131.2 93.7 96.2 93.7 1.3 91.4 231.9 80.8 186.3 93.6 93.6 3.4 88.9 93.3 93.9 118.6 91.5 152.9 6.4 34.9 13.3 13.3 20.0 111.3 150.1 2.6 2.6 84.4 91.2 2.7 112.0 94.0 11.1 300.4 188.3 9.2 3.1 100.1 2.8 101.3 165.7 216.6 94.9 91.3 5.5 86.7 102.4 14.8 81.1 93.3 45.6 5.6 39.1 .9 184.6 4.6 310.6 2.1 206.7 280.5 1.5 92.4 91.5 .7 92.3 201.2 188.3

Square miles 1.9 1.1 .8 37.6 71.0 2.9 50.6 36.2 37.2 36.2 .5 35.3 89.5 31.2 71.9 36.1 36.1 1.3 34.3 36.0 36.2 45.8 35.3 59.0 2.5 13.5 5.2 5.2 7.7 43.0 58.0 1.0 1.0 32.6 35.2 1.0 43.2 36.3 4.3 116.0 72.7 3.5 1.2 38.6 1.1 39.1 64.0 83.6 36.6 35.3 2.1 33.5 39.5 5.7 31.3 36.0 17.6 2.2 15.1 .3 71.3 1.8 119.9 .8 79.8 108.3 .6 35.7 35.3 .3 35.6 77.7 72.7

Square kilometers 5.0 2.9 2.1 97.0 183.8 7.5 130.9 93.7 93.5 93.7 1.2 91.3 229.6 80.3 180.0 93.6 92.1 3.3 88.5 93.3 92.3 118.1 91.5 145.2 6.3 28.2 12.0 12.0 15.0 111.0 150.1 2.6 2.6 79.5 91.0 2.7 111.7 94.0 10.6 297.8 186.1 7.7 3.0 98.7 2.8 101.2 162.6 215.5 94.8 91.0 5.4 86.0 96.9 14.7 81.1 88.0 44.4 5.6 37.9 .9 162.1 4.6 310.1 2.1 202.9 280.4 1.5 92.3 91.5 .7 92.2 170.9 185.4

Square miles 1.9 1.1 .8 37.5 71.0 2.9 50.6 36.2 36.1 36.2 .5 35.3 88.7 31.0 69.5 36.1 35.5 1.3 34.2 36.0 35.6 45.6 35.3 56.1 2.4 10.9 4.6 4.6 5.8 42.8 57.9 1.0 1.0 30.7 35.1 1.0 43.1 36.3 4.1 115.0 71.8 3.0 1.2 38.1 1.1 39.1 62.8 83.2 36.6 35.1 2.1 33.2 37.4 5.7 31.3 34.0 17.1 2.2 14.6 .3 62.6 1.8 119.7 .8 78.3 108.2 .6 35.6 35.3 .3 35.6 66.0 71.6

Square kilometer 383.2 485.9 241.4 13.9 3.0 228.7 8.9 4.8 12.5 32.6 425.0 5.7 2.6 11.7 2.6 4.7 9.3 345.5 6.8 5.4 21.3 7.7 7.6 14.7 532.2 122.1 1 202.6 1 202.6 52.7 4.3 5.5 160.0 240.4 9.7 6.1 168.5 5.3 12.2 555.6 .5 4.9 345.1 264.0 13.5 96.1 9.2 2.0 .3 14.9 13.4 46.1 7.0 16.9 563.0 17.3 9.3 1 479.6 1 620.5 1 482.2 492.2 15.6 470.9 5.5 250.0 6.4 1.8 532.0 4.6 6.7 628.6 8.1 3.5 3.9

Square mile 1 008.4 1 280.9 633.8 35.9 7.7 591.4 23.1 12.5 32.3 84.3 020.0 14.7 6.7 30.4 6.8 12.3 24.2 876.9 17.5 14.1 55.2 19.8 19.7 38.0 397.1 315.8 137.2 137.2 136.2 11.2 14.4 416.0 625.0 25.2 15.9 455.0 13.7 31.5 436.3 1.3 12.8 885.7 660.0 35.0 244.5 23.8 5.2 .8 38.7 34.7 118.6 18.1 43.7 451.9 44.9 24.0 841.8 125.0 847.7 476.7

Square kilometer 160.0 207.6 94.3 5.5 1.3 105.5 5.5 1.8 7.3 10.2 157.5 2.0 1.3 5.1 2.7 2.1 5.1 142.7 2.5 1.7 8.9 3.2 2.8 7.3 248.3 44.3 422.2 422.2 26.4 1.6 2.3 69.6 103.8 7.7 2.7 74.4 2.1 3.7 226.1 1.1 5.0 147.0 113.3 5.0 38.6 3.4 1.6 .4 5.4 4.7 20.2 2.4 6.8 246.2 6.6 6.5 575.0 563.0 582.8 318.9 12.6 210.9 1.9 92.4 2.7 1.0 242.7 1.9 2.5 244.3 2.8 2.8 6.4

Square mile 421.1 547.3 247.5 14.3 3.3 272.8 14.3 4.7 18.8 26.5 378.0 5.1 3.5 13.1 7.0 5.5 13.1 362.3 6.6 4.5 22.9 8.4 7.4 18.8 651.7 114.7 1 101.3 1 101.3 68.3 4.1 5.9 181.0 270.0 19.8 7.0 201.0 5.6 9.6 584.6 2.8 12.8 377.3 283.3 12.9 98.2 8.9 4.2 .9 13.9 12.3 51.9 6.3 17.5 634.9 17.2 16.8 1 492.9 1 433.2 1 512.9 956.7 32.6 538.9 5.0 242.5 7.1 2.5 606.7 5.0 6.6 570.0 7.4 7.2 16.6

1

1 1 1 5 5

1 3 3

2 1

1

3

1

25 528 3 153 22 088 287 2 041 970 595 194 554 271 364 178 233 171 262 473 1 191

3 4 3 1

40.4 1 203.3 14.3 656.3 16.6 4.6 1 330.0 11.9 17.3 1 466.7 21.0 9.0 10.2

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 44 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

44 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Armstrong Creek town, Forest County Arpin village, Wood County Arpin town, Wood County Arthur town, Chippewa County Ashford town, Fond du Lac County Ashippun town, Dodge County Ashland city, Ashland County Urban part Rural part Ashland town, Ashland County Ashwaubenon village, Brown County Athelstane town, Marinette County Athens village, Marathon County Atlanta town, Rusk County Auburn town, Chippewa County Auburn town, Fond du Lac County Auburndale village, Wood County Auburndale town, Wood County Augusta city, Eau Claire County Aurora town, Florence County Aurora town, Taylor County Aurora town, Waushara County Avoca village, Iowa County Avon town, Rock County Aztalan town, Jefferson County Bagley village, Grant County Bagley town, Oconto County Baileys Harbor town, Door County Baldwin village, St. Croix County Baldwin town, St. Croix County Balsam Lake village, Polk County Balsam Lake town, Polk County Bangor village, La Crosse County Bangor town, La Crosse County Baraboo city, Sauk County Baraboo town, Sauk County Barksdale town, Bayfield County Barnes town, Bayfield County Barneveld village, Iowa County Barre town, La Crosse County Barron city, Barron County Barron town, Barron County Barronett town, Washburn County Bartelme town, Shawano County Barton town, Washington County Bashaw town, Washburn County Bass Lake town, Sawyer County Bass Lake town, Washburn County Bay City village, Pierce County Bayfield city, Bayfield County Bayfield town, Bayfield County Bayside village Milwaukee County Ozaukee County Bayview town, Bayfield County Bear Bluff town, Jackson County Bear Creek village, Outagamie County Bear Creek town, Sauk County Bear Creek town, Waupaca County Bear Lake town, Barron County Beaver town, Clark County Beaver town, Marinette County Beaver town, Polk County Beaver Brook town, Washburn County Beaver Dam city, Dodge County Beaver Dam town, Dodge County Beecher town, Marinette County Beetown town, Grant County Belgium village, Ozaukee County Belgium town, Ozaukee County Bell town, Bayfield County Bell Center village, Crawford County 460 312 806 756 1 598 1 783 8 695 8 571 124 567 16 376 437 951 585 474 1 790 665 844 1 510 1 036 473 846 474 570 1 476 306 271 780 2 022 911 792 1 067 1 076 598 9 203 1 503 756 473 660 909 2 986 1 015 373 618 2 637 756 1 717 337 578 686 603 4 789 4 681 108 402 149 418 521 787 530 703 041 663 580 196 097 626 782 928 405 237 127 1980 501 361 764 856 1 596 1 929 9 115 … … 596 14 486 364 988 586 456 r1 803 641 942 1 560 1 050 461 890 505 555 1 752 317 272 799 1 620 943 749 960 1 012 572 8 081 1 545 762 493 579 901 2 595 977 371 583 2 493 724 1 288 252 543 778 607 4 724 4 612 112 343 133 454 537 820 521 777 042 755 603 149 030 521 933 892 424 247 124 1970 459 … 1 088 774 1 470 1 500 9 615 … … 504 … 330 856 489 408 256 468 911 242 920 466 802 421 614 306 271 209 615 399 890 648 631 974 569 931 158 574 311 528 521 337 893 366 399 624 527 832 211 317 874 503 1990 384 119 251 264 543 622 3 733 3 688 45 245 6 245 999 412 281 159 663 249 282 657 466 149 339 272 207 529 189 228 954 822 288 660 906 432 199 3 934 614 319 1 313 257 344 1 283 323 173 246 839 327 1 651 210 220 446 355 1 738 1 700 38 214 91 154 185 271 308 221 615 419 240 5 997 1 231 809 271 349 573 364 45 1980 392 136 227 249 503 580 3 833 … … 249 4 796 801 397 211 136 r606 221 257 641 417 156 346 261 201 565 176 223 857 678 278 556 730 378 179 3 355 583 284 1 049 229 293 1 083 329 159 188 733 291 1 320 156 205 392 364 1 536 1 496 40 192 71 144 171 268 255 217 541 373 234 5 607 1 113 599 281 302 566 343 54 1970 276 … 303 217 390 416 3 362 … … 191 … 500 307 157 125 442 148 220 507 308 137 288 191 175 379 120 130 475 522 250 357 529 334 146 2 841 494 206 647 164 143 844 268 125 147 437 187 797 92 119 330 202 1 231 1 194 37 163 52 148 138 238 179 175 357 287 134 4 846 599 334 261 222 534 259 38

Square kilometers 126.0 2.2 85.5 111.6 93.0 92.5 34.8 19.1 15.8 107.0 28.0 277.1 4.6 132.1 92.5 92.9 5.3 83.6 5.0 99.4 88.6 90.1 6.2 93.6 67.2 1.8 92.5 178.1 4.4 83.3 8.5 83.5 2.7 90.9 12.1 86.0 172.6 321.8 3.3 53.5 7.0 86.0 87.2 92.1 52.6 87.8 159.7 85.9 1.4 1.8 347.5 6.2 5.9 .2 145.3 145.2 2.4 128.7 94.9 91.2 93.5 180.0 96.7 85.3 15.8 97.1 127.9 125.4 2.6 96.4 156.5 14.4

Square miles 48.6 .8 33.0 43.1 35.9 35.7 13.4 7.4 6.1 41.3 10.8 107.0 1.8 51.0 35.7 35.9 2.1 32.3 1.9 38.4 34.2 34.8 2.4 36.1 26.0 .7 35.7 68.8 1.7 32.2 3.3 32.2 1.0 35.1 4.7 33.2 66.7 124.3 1.3 20.7 2.7 33.2 33.7 35.6 20.3 33.9 61.7 33.1 .5 .7 134.2 2.4 2.3 .1 56.1 56.1 .9 49.7 36.7 35.2 36.1 69.5 37.3 32.9 6.1 37.5 49.4 48.4 1.0 37.2 60.4 5.6

Square kilometers 124.3 2.2 85.5 111.2 92.8 92.3 34.1 18.4 15.8 106.8 27.1 275.0 4.6 131.6 92.5 91.4 5.3 83.6 5.0 98.3 88.6 89.2 5.9 93.6 65.6 1.7 90.2 76.5 4.4 83.2 5.2 77.0 2.7 90.9 12.1 84.5 143.9 304.4 3.3 53.5 6.8 85.8 84.9 92.0 52.0 86.9 119.0 83.7 1.3 1.8 231.2 6.2 5.9 .2 107.4 137.4 2.4 128.7 94.9 85.2 93.5 177.7 92.7 84.0 12.3 90.0 125.7 125.4 2.6 93.7 154.5 14.3

Square miles 48.0 .8 33.0 42.9 35.8 35.6 13.2 7.1 6.1 41.2 10.4 106.2 1.8 50.8 35.7 35.3 2.1 32.3 1.9 38.0 34.2 34.4 2.3 36.1 25.3 .6 34.8 29.5 1.7 32.1 2.0 29.7 1.0 35.1 4.7 32.6 55.5 117.5 1.3 20.7 2.6 33.1 32.8 35.5 20.1 33.5 46.0 32.3 .5 .7 89.3 2.4 2.3 .1 41.5 53.1 .9 49.7 36.7 32.9 36.1 68.6 35.8 32.4 4.8 34.7 48.5 48.4 1.0 36.2 59.6 5.5

Square kilometer 3.7 141.8 9.4 6.8 17.2 19.3 255.0 465.8 7.8 5.3 604.3 1.6 206.7 4.4 5.1 19.6 125.5 10.1 302.0 10.5 5.3 9.5 80.3 6.1 22.5 180.0 3.0 10.2 459.5 10.9 152.3 13.9 398.5 6.6 760.6 17.8 5.3 1.6 200.0 17.0 439.1 11.8 4.4 6.7 50.7 8.7 14.4 4.0 444.6 381.1 2.6 772.4 793.4 540.0 3.7 1.1 174.2 4.0 8.3 6.2 7.5 5.9 7.2 6.9 1 154.1 34.4 5.0 6.2 356.9 15.0 1.5 8.9

Square mile 9.6 390.0 24.4 17.6 44.6 50.1 658.7 1 207.2 20.3 13.8 1 574.6 4.1 528.3 11.5 13.3 50.7 316.7 26.1 794.7 27.3 13.8 24.6 206.1 15.8 58.3 510.0 7.8 26.4 1 189.4 28.4 396.0 35.9 1 076.0 17.0 1 958.1 46.1 13.6 4.0 507.7 43.9 1 148.5 30.7 11.4 17.4 131.2 22.6 37.3 10.4 1 156.0 980.0 6.8 1 995.4 2 035.2 1 080.0 9.7 2.8 464.4 10.5 21.4 16.1 19.5 15.2 18.5 17.9 2 957.5 89.3 12.9 16.2 928.0 38.8 4.0 23.1

Square kilometer 3.1 54.1 2.9 2.4 5.9 6.7 109.5 200.4 2.8 2.3 230.4 3.6 89.6 2.1 1.7 7.3 47.0 3.4 131.4 4.7 1.7 3.8 46.1 2.2 8.1 111.2 2.5 12.5 186.8 3.5 126.9 11.8 160.0 2.2 325.1 7.3 2.2 4.3 77.9 6.4 188.7 3.8 2.0 2.7 16.1 3.8 13.9 2.5 169.2 247.8 1.5 280.3 288.1 190.0 2.0 .7 64.2 1.4 2.9 3.6 2.4 3.5 4.5 2.9 487.6 13.7 6.4 2.2 134.2 6.1 2.4 3.1

Square mile 8.0 148.8 7.6 6.2 15.2 17.5 282.8 519.4 7.4 5.9 600.5 9.4 228.9 5.5 4.5 18.8 118.6 8.7 345.8 12.3 4.4 9.9 118.3 5.7 20.9 315.0 6.6 32.3 483.5 9.0 330.0 30.5 432.0 5.7 837.0 18.8 5.7 11.2 197.7 16.6 493.5 9.8 5.3 6.9 41.7 9.8 35.9 6.5 440.0 637.1 4.0 724.2 739.1 380.0 5.2 1.7 171.1 3.7 7.4 9.4 6.1 9.0 11.7 7.4 1 249.4 35.5 16.7 5.6 349.0 15.8 6.1 8.2

1 1

1

1

7 1

2

1

4 461 4 338 123 297 116 520 522 861 426 718 995 641 400 14 265 1 933 279 955 809 1 625 205 110

1 14 3

1 14 3

1

1

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 45 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 45

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Belle Plaine town, Shawano County Belleville village Dane County Green County Bellevue town, Brown County Bellevue Town CDP, Brown County Belmont village, Lafayette County Belmont town, Lafayette County Belmont town, Portage County Beloit city, Rock County Beloit town, Rock County Belvidere town, Buffalo County Bennett town, Douglas County Benton village, Lafayette County Benton town, Lafayette County Bergen town, Marathon County Bergen town, Vernon County Berlin city Green Lake County Waushara County Berlin town, Green Lake County Berlin town, Marathon County Bern town, Marathon County Berry town, Dane County Bevent town, Marathon County Big Bend town, Rusk County Big Bend village, Waukesha County Big Falls town, Rusk County Big Falls village, Waupaca County Big Flats town, Adams County Birch town, Lincoln County Birch Creek town, Chippewa County Birchwood village, Washburn County Birchwood town, Washburn County Birnamwood village Marathon County Shawano County Birnamwood town, Shawano County Biron village, Wood County Black Brook town, Polk County Black Creek village, Outagamie County Black Creek town, Outagamie County Black Earth village, Dane County Black Earth town, Dane County Black River Falls city, Jackson County Blackwell town, Forest County Black Wolf town, Winnebago County Blaine town, Burnett County Blair city, Trempealeau County Blanchard town, Lafayette County Blanchardville village Iowa County Lafayette County Bloom town, Richland County Bloomer city, Chippewa County Bloomer town, Chippewa County Bloomfield town, Walworth County Bloomfield town, Waushara County Blooming Grove town, Dane County Bloomington village, Grant County Bloomington town, Grant County Blue Mounds village, Dane County Blue Mounds town, Dane County Blue River village, Grant County Boaz village, Richland County Bohners Lake CDP, Racine County Bonduel village, Shawano County Bone Lake town, Polk County Boscobel city, Grant County Boscobel town, Grant County Boulder Junction town, Vilas County 1 792 1 456 1 349 107 7 541 7 541 823 737 540 35 573 6 778 505 525 898 507 499 1 223 5 371 5 304 67 996 849 550 1 248 978 386 1 299 107 75 731 675 500 443 329 693 6 687 632 794 964 152 169 248 365 490 384 154 172 126 220 802 167 635 540 3 085 880 3 723 922 2 079 776 364 446 667 438 131 1 553 1 210 503 2 706 426 884 1980 1 626 1 302 1 203 99 4 101 … 826 716 496 35 207 8 382 425 501 983 524 478 1 117 5 478 5 387 91 1 065 820 487 1 116 983 398 1 345 122 107 694 689 540 437 252 688 … 688 570 698 949 097 149 145 406 434 384 318 151 142 209 803 139 664 565 3 342 930 r3 277 931 1 965 743 567 387 637 412 161 1 507 1 160 466 2 662 494 934 1970 1 636 1 063 972 91 1 736 … 688 626 387 35 729 9 182 464 333 873 524 402 1 002 5 338 5 297 41 882 758 497 896 735 324 1 148 130 112 482 312 365 394 196 632 … 632 484 771 775 921 968 114 379 273 418 127 129 036 233 794 123 671 567 3 143 800 2 481 798 1 608 719 552 261 675 369 126 1 417 995 416 2 510 463 607 1990 943 576 522 54 2 869 2 869 346 261 298 14 033 2 613 218 322 357 170 206 468 2 245 2 218 27 352 269 159 418 400 521 425 98 50 824 211 392 252 475 293 3 290 257 353 361 433 369 469 136 1 547 111 916 243 493 89 365 65 300 232 1 290 314 2 074 416 800 336 130 176 234 183 54 792 501 331 1 141 180 1 240 1980 861 507 457 50 1 425 … 327 246 291 13 415 3 057 182 297 362 154 168 399 2 138 2 101 37 355 261 128 347 349 490 405 84 64 752 219 392 256 384 262 … 262 220 258 336 407 319 419 132 1 436 100 920 211 449 76 371 59 312 242 1 266 309 r1 919 383 723 305 391 155 225 170 63 763 477 307 1 097 194 1 430 1970 717 368 341 27 426 … 238 155 161 11 821 2 860 158 262 293 138 123 319 1 842 1 827 15 279 203 126 227 215 291 315 75 53 362 180 260 192 269 209 … 209 153 243 232 300 227 324 95 1 184 98 755 152 371 71 342 50 292 217 1 050 227 1 634 296 542 263 235 90 193 140 49 726 340 236 900 157 613

Square kilometers 101.5 3.1 2.8 .3 37.0 37.0 1.4 107.2 93.9 42.5 70.3 89.0 125.1 1.6 73.1 90.1 136.7 15.7 14.0 1.6 77.8 89.8 89.5 93.2 110.7 91.6 2.0 93.3 1.3 124.6 93.5 120.8 3.3 181.2 5.7 .2 5.6 81.3 15.3 90.6 2.7 90.8 1.7 44.8 7.9 171.9 108.8 182.0 2.5 45.4 1.1 .2 .9 93.5 6.4 123.8 88.7 92.9 29.9 3.4 103.5 2.0 86.0 1.9 .9 4.1 4.4 91.7 4.8 21.2 260.0

Square miles 39.2 1.2 1.1 .1 14.3 14.3 .6 41.4 36.2 16.4 27.2 34.4 48.3 .6 28.2 34.8 52.8 6.0 5.4 .6 30.0 34.7 34.6 36.0 42.7 35.4 .8 36.0 .5 48.1 36.1 46.6 1.3 70.0 2.2 .1 2.1 31.4 5.9 35.0 1.0 35.1 .6 17.3 3.0 66.4 42.0 70.3 1.0 17.5 .4 .1 .3 36.1 2.5 47.8 34.3 35.9 11.6 1.3 40.0 .8 33.2 .7 .4 1.6 1.7 35.4 1.9 8.2 100.4

Square kilometers 99.5 2.7 2.4 .3 36.9 36.9 1.4 106.9 93.4 41.9 68.5 85.4 123.1 1.6 73.1 70.0 88.6 14.8 13.4 1.5 77.0 89.8 89.5 92.9 109.1 84.5 1.9 91.6 1.3 124.6 92.6 115.5 2.9 165.3 5.7 .2 5.6 81.3 10.9 88.8 2.7 90.8 1.7 44.8 7.6 171.0 40.7 178.3 2.4 45.4 1.1 .2 .9 93.5 6.3 121.9 86.6 91.7 26.5 3.4 94.3 2.0 86.0 1.9 .9 3.5 4.3 86.9 4.7 20.1 212.2

Square miles 38.4 1.0 .9 .1 14.2 14.2 .6 41.3 36.1 16.2 26.5 33.0 47.5 .6 28.2 27.0 34.2 5.7 5.2 .6 29.7 34.7 34.5 35.9 42.1 32.6 .8 35.4 .5 48.1 35.8 44.6 1.1 63.8 2.2 .1 2.1 31.4 4.2 34.3 1.0 35.1 .6 17.3 2.9 66.0 15.7 68.8 .9 17.5 .4 .1 .3 36.1 2.4 47.1 33.4 35.4 10.2 1.3 36.4 .8 33.2 .7 .4 1.3 1.7 33.6 1.8 7.8 81.9

Square kilometer 18.0 539.3 562.1 356.7 204.4 204.4 587.9 6.9 5.8 849.0 98.9 5.9 4.3 561.3 6.9 7.1 13.8 362.9 395.8 44.7 12.9 9.5 6.1 13.4 9.0 4.6 683.7 1.2 57.7 5.9 7.3 4.3 152.8 2.0 121.6 30.0 122.7 7.8 72.8 10.9 426.7 12.9 734.1 8.1 459.2 2.2 52.9 1.0 469.2 4.8 729.1 835.0 705.6 5.8 489.7 7.2 43.0 10.1 78.5 228.2 3.9 223.0 7.8 230.5 145.6 443.7 281.4 5.8 575.7 21.2 4.2

Square mile 46.7 1 456.0 1 498.9 1 070.0 531.1 531.1 1 371.7 17.8 15.0 2 195.9 255.8 15.3 11.1 1 496.7 18.0 18.5 35.8 942.3 1 020.0 111.7 33.5 24.5 15.9 34.8 23.2 11.8 1 623.8 3.0 150.0 15.2 18.9 11.2 402.7 5.2 315.0 60.0 327.1 20.1 189.0 28.1 152.0 33.3 080.0 21.1 203.4 5.8 137.2 2.5 251.1 12.6

Square kilometer 9.5 213.3 217.5 180.0 77.8 77.8 247.1 2.4 3.2 334.9 38.1 2.6 2.6 223.1 2.3 2.9 5.3 151.7 165.5 18.0 4.6 3.0 1.8 4.5 3.7 6.2 223.7 1.1 38.5 6.6 2.3 3.4 86.9 2.9 51.4 15.0 51.8 3.2 32.4 4.1 160.4 4.1 275.9 3.0 203.6 .6 22.5 1.4 205.4 2.0 331.8 325.0 333.3 2.5 204.8 2.6 23.9 4.5 30.2 98.8 1.4 88.0 2.7 96.3 60.0 226.3 116.5 3.8 242.8 9.0 5.8

Square mile 24.6 576.0 580.0 540.0 202.0 202.0 576.7 6.3 8.3 866.2 98.6 6.6 6.8 595.0 6.0 7.6 13.7 393.9 426.5 45.0 11.9 7.8 4.6 11.6 9.5 16.0 531.3 2.8 100.0 17.1 5.9 8.8 229.1 7.4 133.2 30.0 138.1 8.2 84.0 10.5 433.0 10.5 781.7 7.9 533.4 1.7 58.3 3.5 547.8 5.1 912.5 650.0 1 000.0 6.4 537.5 6.7 62.1 11.8 78.4 258.5 3.6 220.0 7.0 261.4 135.0 609.2 294.7 9.9 633.9 23.1 15.1

1 1 1 3 2 1

1 1 1 3 2 1

1 2 1

1 3 2 1

1

2 005.0 1 670.0 2 116.7 15.0 1 285.4 18.7 111.5 26.0 203.8 596.9 10.0 557.5 20.1 625.7 327.5 1 194.6 711.8 15.0 1 503.3 54.6 10.8

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 46 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

46 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Bovina town, Outagamie County Bowler village, Shawano County Boyceville village, Dunn County Boyd village, Chippewa County Bradford town, Rock County Bradley town, Lincoln County Brandon village, Fond du Lac County Brazeau town, Oconto County Breed town, Oconto County Brice Prairie CDP, La Crosse County Bridge Creek town, Eau Claire County Bridgeport town, Crawford County Brigham town, Iowa County Brighton town, Marathon County Brighton town, Kenosha County Brillion city, Calumet County Brillion town, Calumet County Bristol town, Dane County Bristol town, Kenosha County Brockway town, Jackson County Brodhead city, Green County Brokaw village, Marathon County Brookfield city, Waukesha County Brookfield town, Waukesha County Brooklyn village Dane County Green County Brooklyn town, Green County Brooklyn town, Green Lake County Brooklyn town, Washburn County Brothertown town, Calumet County Brown Deer village, Milwaukee County Browning town, Taylor County Browns Lake CDP, Racine County Brownsville village, Dodge County Browntown village, Green County Bruce village, Rusk County Brule town, Douglas County Brunswick town, Eau Claire County Brussels town, Door County Buchanan town, Outagamie County Buena Vista town, Portage County Buena Vista town, Richland County Buffalo city, Buffalo County Buffalo town, Buffalo County Buffalo town, Marquette County Burke town, Dane County Burlington city Racine County Walworth County Burlington town, Racine County Burnett town, Dodge County Burns town, La Crosse County Burnside town, Trempealeau County Butler town, Clark County Butler village, Waukesha County Butternut village, Ashland County Byron town, Fond du Lac County Byron town, Monroe County Cable town, Bayfield County Cadiz town, Green County Cadott village, Chippewa County Cady town, St. Croix County Calamus town, Dodge County Caledonia town, Columbia County Caledonia town, Racine County Caledonia town, Trempealeau County Caledonia town, Waupaca County Calumet town, Fond du Lac County Cambria village, Columbia County 957 279 913 683 030 231 872 169 564 031 1980 822 339 862 660 1 100 2 235 862 1 039 563 … 1 206 708 821 600 1 180 2 907 1 191 1 723 3 599 1 053 3 153 298 34 035 4 364 627 250 377 760 1 431 273 1 494 12 921 702 1 648 433 284 905 544 1 1 1 1 1 411 097 742 023 369 894 821 745 2 967 8 385 8 385 – 5 629 917 988 639 81 2 059 438 1 681 1 162 604 891 1 247 r724 1 077 923 20 940 507 1 040 1 609 680 1970 837 272 725 574 1 071 1 753 872 924 402 … 935 416 844 593 199 588 324 491 740 978 515 312 761 303 565 217 348 746 1 262 191 1 420 12 582 644 1 669 374 253 799 497 1 092 1 050 1 987 827 1 095 671 782 487 1 742 7 479 7 479 … 4 963 875 901 693 83 2 261 453 1 300 814 457 812 977 670 934 855 16 748 341 882 1 475 631 1990 345 114 408 266 377 1 744 332 1 377 535 326 634 294 257 191 443 069 439 604 544 537 297 87 254 430 284 132 152 270 960 199 594 5 070 270 833 158 104 414 403 552 398 749 378 591 447 264 342 1 043 3 423 3 422 1 2 528 333 350 219 44 949 200 527 508 738 337 540 240 370 626 7 251 212 438 734 315 1980 260 118 370 267 373 1 645 309 1 109 462 … 590 242 274 183 387 014 382 525 361 473 219 107 539 300 235 90 145 247 667 190 562 4 589 233 685 149 103 409 365 477 373 443 321 536 425 277 291 956 3 026 3 026 – 2 244 321 315 201 38 828 187 500 446 537 324 487 r246 350 612 6 527 203 333 695 297 1970 217 106 274 218 317 1 272 289 742 218 … 448 125 231 166 336 827 375 363 912 371 906 107 8 323 1 084 186 69 117 220 537 122 456 3 536 172 671 124 91 300 286 310 313 414 250 369 297 230 178 539 2 337 2 337 … 1 866 263 240 192 34 623 183 344 250 298 243 322 209 260 475 4 303 119 233 582 253

Square kilometers 87.5 2.6 10.3 4.8 94.1 164.6 1.6 185.3 92.7 7.8 270.3 61.9 166.2 88.7 93.2 5.9 87.1 90.5 94.2 125.8 4.2 2.4 69.6 15.0 2.7 1.3 1.4 91.9 122.6 94.1 141.0 11.4 94.6 7.2 .6 2.6 6.1 144.8 96.6 93.6 48.7 158.6 109.7 15.3 88.6 127.6 63.2 10.3 9.9 .4 98.8 94.4 125.4 91.4 93.2 2.0 4.1 94.1 93.4 185.0 94.8 7.5 90.3 94.7 164.8 126.1 55.2 72.7 114.2 2.1

Square miles 33.8 1.0 4.0 1.8 36.3 63.6 .6 71.6 35.8 3.0 104.4 23.9 64.2 34.2 36.0 2.3 33.6 35.0 36.4 48.6 1.6 .9 26.9 5.8 1.0 .5 .6 35.5 47.3 36.3 54.5 4.4 36.5 2.8 .2 1.0 2.4 55.9 37.3 36.1 18.8 61.2 42.3 5.9 34.2 49.3 24.4 4.0 3.8 .1 38.1 36.5 48.4 35.3 36.0 .8 1.6 36.3 36.1 71.4 36.6 2.9 34.9 36.6 63.6 48.7 21.3 28.1 44.1 .8

Square kilometers 87.3 2.6 10.3 4.8 94.1 144.4 1.6 177.5 92.1 7.7 265.5 54.2 166.1 88.6 92.7 5.9 87.0 90.5 93.3 123.8 4.2 2.0 69.5 14.9 2.7 1.3 1.4 91.9 92.0 92.5 95.3 11.4 94.6 5.6 .6 2.6 5.9 144.3 94.6 93.6 47.6 158.5 107.2 5.2 77.3 125.7 63.2 9.7 9.4 .4 95.1 93.7 125.3 91.3 93.2 2.0 4.1 94.1 91.9 179.3 94.4 7.5 89.4 93.5 154.2 117.8 54.1 72.1 78.2 2.0

Square miles 33.7 1.0 4.0 1.8 36.3 55.7 .6 68.5 35.6 3.0 102.5 20.9 64.1 34.2 35.8 2.3 33.6 35.0 36.0 47.8 1.6 .8 26.8 5.8 1.0 .5 .6 35.5 35.5 35.7 36.8 4.4 36.5 2.2 .2 1.0 2.3 55.7 36.5 36.1 18.4 61.2 41.4 2.0 29.9 48.5 24.4 3.8 3.6 .1 36.7 36.2 48.4 35.2 36.0 .8 1.6 36.3 35.5 69.2 36.5 2.9 34.5 36.1 59.5 45.5 20.9 27.8 30.2 .8

Square kilometer 11.0 107.3 88.6 142.3 10.9 15.5 545.0 6.6 6.1 133.9 5.4 13.9 4.2 6.9 13.6 481.4 14.9 20.4 42.5 9.9 753.6 112.0 506.2 284.0 292.2 312.3 273.6 8.3 19.5 3.0 14.8 1 073.3 7.8 308.0 691.7 98.5 143.1 3.7 15.9 11.1 52.2 7.4 14.4 176.0 8.9 6.3 47.5 912.9 941.6 10.0 61.3 9.8 7.8 7.2 1.0 1 039.5 101.5 17.4 13.6 4.6 9.7 177.1 7.2 10.8 6.7 178.3 10.3 16.3 18.5 384.0

Square mile 28.4 279.0 228.3 379.4 28.4 40.1 1 453.3 17.1 15.8 343.7 14.0 36.0 10.8 17.8 35.3 1 234.8 38.7 52.9 110.2 25.6 1 978.1 280.0 1 312.8 729.7 789.0 812.0 638.3 21.5 50.6 7.7 38.3 2 780.9 20.3 784.1 2 075.0 256.0 367.0 9.5 41.3 28.9 135.0 19.1 37.4 457.5 22.9 16.3 123.1 2 330.3 2 458.6 40.0 158.9 25.3 20.2 18.6 2.5 2 598.8 260.0 45.0 35.2 11.8 25.0 457.9 18.6 28.0 17.3 461.5 26.6 42.3 47.8 960.0

Square kilometer 4.0 43.8 39.6 55.4 4.0 12.1 207.5 7.8 5.8 42.3 2.4 5.4 1.5 2.2 4.8 181.2 5.0 6.7 16.5 4.3 308.8 43.5 176.3 96.0 105.2 101.5 108.6 2.9 10.4 2.2 6.2 444.7 2.9 148.8 263.3 40.0 70.2 2.8 5.8 4.3 15.7 2.4 5.5 86.0 3.4 2.7 16.5 352.9 364.0 2.5 26.6 3.6 2.8 2.4 .5 474.5 48.8 5.6 5.5 4.1 3.6 72.0 2.7 4.0 4.1 61.6 3.9 6.1 9.4 157.5

Square mile 10.2 114.0 102.0 147.8 10.4 31.3 553.3 20.1 15.0 108.7 6.2 14.1 4.0 5.6 12.4 464.8 13.1 17.3 42.9 11.2 810.6 108.8 457.2 246.6 284.0 264.0 253.3 7.6 27.0 5.6 16.1 1 152.3 7.4 378.6 790.0 104.0 180.0 7.2 15.1 11.0 40.7 6.2 14.3 223.5 8.8 7.1 42.7 900.8 950.6 10.0 68.9 9.2 7.2 6.2 1.2 1 186.3 125.0 14.5 14.3 10.7 9.2 186.2 7.0 10.2 10.5 159.4 10.1 15.8 24.3 393.8

1 2 1 1

1 440 753 692 610 1 264 2 840 1 300 1 850 3 968 1 222 3 165 224 35 184 4 232 789 406 383 764 1 798 276 1 409 12 236 740 1 725 415 256 844 527 1 1 2 1 1 506 042 484 170 547 915 686 792 3 004 8 855 8 851 4 5 833 915 977 653 91 2 079 416 1 634 1 250 817 913 1 328 643 1 009 1 031 20 999 555 1 177 1 444 768

1 2 1 1 2 2 31 4

1 1 1 12 1

1 1 1 10 1

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 47 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 47

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Cambridge village Dane County Jefferson County Cameron village, Barron County Cameron town, Wood County Campbell town, La Crosse County Campbellsport village, Fond du Lac County Camp Douglas village, Juneau County Camp Lake CDP, Kenosha County Canton town, Buffalo County Carey town, Iron County Carlton town, Kewaunee County Carson town, Portage County Cary town, Wood County Cascade village, Sheboygan County Casco village, Kewaunee County Casco town, Kewaunee County Casey town, Washburn County Cashton village, Monroe County Cassel town, Marathon County Cassian town, Oneida County Cassville village, Grant County Cassville town, Grant County Castle Rock town, Grant County Caswell town, Forest County Catawba village, Price County Catawba town, Price County Cato town, Manitowoc County Cazenovia village Richland County Sauk County Cecil village, Shawano County Cedarburg city, Ozaukee County Cedarburg town, Ozaukee County Cedar Grove village, Sheboygan County Cedar Lake town, Barron County Cedar Rapids town, Rusk County Center town, Outagamie County Center town, Rock County Centerville town, Manitowoc County Centuria village, Polk County Chain O’ Lakes-King CDP, Waupaca County Charlestown town, Calumet County Chase town, Oconto County Chaseburg village, Vernon County Chelsea town, Taylor County Chenequa village, Waukesha County Chester town, Dodge County Chetek city, Barron County Chetek town, Barron County Chicog town, Washburn County Chief Lake CDP, Sawyer County Chilton city, Calumet County Chilton town, Calumet County Chimney Rock town, Trempealeau County Chippewa town, Ashland County Chippewa Falls city, Chippewa County Christiana town, Dane County Christiana town, Vernon County Cicero town, Outagamie County City Point town, Jackson County Clam Falls town, Polk County Clarno town, Green County Claybanks town, Door County Clayton town, Crawford County Clayton village, Polk County Clayton town, Polk County Clayton town, Winnebago County Clear Creek town, Eau Claire County Clearfield town, Juneau County Clear Lake village, Polk County Clear Lake town, Polk County 963 883 80 1 273 522 4 478 1 732 512 2 291 309 175 1 041 1 327 385 620 544 1 010 401 780 816 668 1 144 554 311 94 178 276 1 503 288 288 – 373 9 895 5 334 1 521 741 30 2 716 861 685 790 1 667 875 1 375 365 731 601 1 393 1 953 1 446 182 570 3 240 998 267 405 12 727 1 182 851 1 126 193 596 1 011 379 794 450 780 2 264 692 502 932 744 1980 844 785 59 1 115 590 4 118 1 740 589 2 060 359 179 1 140 1 441 382 615 484 1 001 404 827 899 585 1 270 633 339 85 205 319 1 653 259 245 14 445 9 005 5 244 1 420 617 30 2 570 908 796 711 … 1 090 1 256 279 677 532 981 1 931 1 210 168 … 2 965 1 120 390 402 12 270 1 209 823 1 062 196 614 1 069 409 927 425 789 2 353 798 538 899 777 1970 689 672 17 893 503 3 327 1 681 547 1 898 443 194 1 105 1 295 343 603 481 979 280 824 953 372 1 343 531 393 96 215 338 1 581 335 321 14 369 7 697 3 774 1 276 423 9 1 853 942 784 632 … 1 079 1 026 224 554 642 1 060 1 630 918 156 … 3 030 1 116 345 417 12 351 1 261 806 1 079 180 522 1 072 345 916 306 713 1 771 773 312 721 793 1990 389 352 37 542 181 1 731 594 242 1 160 109 139 383 458 211 220 223 344 625 366 260 941 565 215 110 122 83 131 505 133 133 – 202 4 036 1 654 550 626 31 850 329 243 322 1 071 293 449 151 283 292 306 991 1 204 447 419 1 287 312 109 287 5 338 414 299 352 203 372 374 231 354 184 371 832 253 376 430 263 1980 344 320 24 452 179 1 515 559 231 1 122 115 145 368 467 160 215 192 312 563 353 230 828 583 253 116 105 79 142 461 116 112 4 219 3 332 1 542 519 525 26 730 298 265 302 … 334 380 114 266 252 313 962 1 170 355 … 1 109 310 146 235 4 629 401 285 310 183 276 358 190 330 164 340 763 246 276 396 256 1970 233 226 7 329 136 1 029 444 184 1 056 112 139 319 373 126 199 167 252 289 318 204 467 503 156 98 84 76 105 364 114 109 5 181 2 281 974 422 237 10 430 259 212 226 … 277 268 82 200 301 264 695 625 205 … 933 264 124 200 4 072 354 251 252 130 214 308 149 299 99 269 503 221 145 276 219

Square kilometers 1.8 1.3 .4 6.5 19.6 33.3 2.4 2.5 14.1 92.8 111.4 92.3 142.4 91.0 1.9 1.4 92.5 88.5 1.9 86.0 177.1 2.8 94.2 92.7 124.1 11.5 129.5 91.8 2.5 2.5 – 3.6 9.3 67.8 5.3 91.7 92.4 92.4 92.3 69.5 4.0 14.1 83.2 91.9 1.6 105.9 12.1 90.3 7.9 86.9 118.1 61.2 9.4 84.3 93.5 325.1 27.1 92.4 87.6 91.9 233.7 91.7 94.7 122.0 179.3 8.4 87.6 94.5 93.1 92.8 6.9 89.6

Square miles .7 .5 .2 2.5 7.6 12.8 .9 1.0 5.4 35.8 43.0 35.6 55.0 35.1 .7 .5 35.7 34.2 .7 33.2 68.4 1.1 36.4 35.8 47.9 4.5 50.0 35.4 1.0 1.0 – 1.4 3.6 26.2 2.0 35.4 35.7 35.7 35.6 26.9 1.5 5.5 32.1 35.5 .6 40.9 4.7 34.9 3.1 33.6 45.6 23.6 3.6 32.5 36.1 125.5 10.5 35.7 33.8 35.5 90.2 35.4 36.6 47.1 69.2 3.3 33.8 36.5 35.9 35.8 2.7 34.6

Square kilometers 1.8 1.3 .4 6.2 19.6 10.3 2.4 2.5 11.6 92.8 107.6 92.3 139.6 90.7 1.9 1.4 92.5 80.6 1.9 85.9 168.4 2.8 86.6 92.7 123.7 11.5 129.5 91.2 2.3 2.3 – 3.6 9.2 67.2 5.3 81.1 91.1 92.4 92.2 62.5 4.0 10.9 83.1 91.7 1.6 104.6 9.2 87.1 6.1 78.9 112.9 54.7 9.3 84.3 93.5 322.3 25.5 92.0 87.4 91.9 230.8 89.9 94.7 38.6 179.3 8.1 86.0 94.5 93.1 92.8 6.9 89.4

Square miles .7 .5 .2 2.4 7.6 4.0 .9 1.0 4.5 35.8 41.6 35.6 53.9 35.0 .7 .5 35.7 31.1 .7 33.2 65.0 1.1 33.5 35.8 47.7 4.5 50.0 35.2 .9 .9 – 1.4 3.6 25.9 2.0 31.3 35.2 35.7 35.6 24.2 1.5 4.2 32.1 35.4 .6 40.4 3.5 33.6 2.4 30.4 43.6 21.1 3.6 32.5 36.1 124.4 9.8 35.5 33.8 35.5 89.1 34.7 36.6 14.9 69.2 3.1 33.2 36.5 35.9 35.8 2.6 34.5

Square kilometer 535.0 679.2 200.0 205.3 26.6 434.8 721.7 204.8 197.5 3.3 1.6 11.3 9.5 4.2 326.3 388.6 10.9 5.0 410.5 9.5 4.0 408.6 6.4 3.4 .8 15.5 2.1 16.5 125.2 125.2 – 103.6 1 075.5 79.4 287.0 9.1 .3 29.4 9.3 11.0 197.5 152.9 10.5 15.0 228.1 7.0 65.3 16.0 320.2 18.3 1.6 10.4 348.4 11.8 2.9 1.3 499.1 12.8 9.7 12.3 .8 6.6 10.7 9.8 4.4 55.6 9.1 24.0 7.4 5.4 135.1 8.3

Square mile 1 375.7 1 766.0 400.0 530.4 68.7 1 119.5 1 924.4 512.0 509.1 8.6 4.2 29.2 24.6 11.0 885.7 1 088.0 28.3 12.9 1 114.3 24.6 10.3 1 040.0 16.5 8.7 2.0 39.6 5.5 42.7 320.0 320.0 – 266.4 2 748.6 205.9 760.5 23.7 .9 76.1 24.2 28.3 526.7 396.9 27.3 38.8 608.3 18.1 171.7 41.5 813.8 47.6 4.2 27.0 900.0 30.7 7.4 3.3 1 298.7 33.3 25.2 31.7 2.2 17.2 27.6 25.4 11.5 145.2 23.5 62.0 19.3 14.0 358.5 21.6

Square kilometer 216.1 270.8 92.5 87.4 9.2 168.1 247.5 96.8 100.0 1.2 1.3 4.1 3.3 2.3 115.8 159.3 3.7 7.8 192.6 3.0 5.6 201.8 2.5 1.2 1.0 7.2 1.0 5.5 57.8 57.8 – 56.1 438.7 24.6 103.8 7.7 .3 9.2 3.6 3.9 80.5 98.3 3.5 4.9 94.4 2.7 31.7 3.5 162.5 15.3 4.0 7.7 138.4 3.7 1.2 .9 209.3 4.5 3.4 3.8 .9 4.1 3.9 6.0 2.0 22.7 4.3 8.8 2.7 4.1 62.3 2.9

Square mile 555.7 704.0 185.0 225.8 23.8 432.8 660.0 242.0 257.8 3.0 3.3 10.8 8.5 6.0 314.3 446.0 9.6 20.1 522.9 7.8 14.5 513.6 6.4 3.1 2.6 18.4 2.6 14.3 147.8 147.8 – 144.3 1 121.1 63.9 275.0 20.0 .9 23.8 9.2 10.0 214.7 255.0 9.1 12.7 251.7 7.0 83.4 9.1 412.9 39.6 10.3 19.9 357.5 9.6 3.0 2.3 544.7 11.7 8.8 9.9 2.3 10.7 10.2 15.5 5.1 59.4 11.2 22.8 7.0 10.5 165.4 7.6

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 48 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

48 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Cleveland town, Chippewa County Cleveland town, Jackson County Cleveland village, Manitowoc County Cleveland town, Marathon County Cleveland town, Taylor County Clifton town, Grant County Clifton town, Monroe County Clifton town, Pierce County Clinton town, Barron County Clinton village, Rock County Clinton town, Rock County Clinton town, Vernon County Clintonville city, Waupaca County Clover town, Bayfield County Cloverland town, Douglas County Cloverland town, Vilas County Clyde town, Iowa County Clyman village, Dodge County Clyman town, Dodge County Cobb village, Iowa County Cochrane village, Buffalo County Colburn town, Adams County Colburn town, Chippewa County Colby city Clark County Marathon County Colby town, Clark County Cold Spring town, Jefferson County Coleman village, Marinette County Colfax village, Dunn County Colfax town, Dunn County Coloma village, Waushara County Coloma town, Waushara County Columbus city Columbia County Dodge County Columbus town, Columbia County Combined Locks village, Outagamie County Commonwealth town, Florence County Como CDP, Walworth County Concord town, Jefferson County Conover town, Vilas County Conrath village, Rusk County Cooks Valley town, Chippewa County Coon town, Vernon County Coon Valley village, Vernon County Cooperstown town, Manitowoc County Cornell city, Chippewa County Corning town, Lincoln County Cottage Grove village, Dane County Cottage Grove town, Dane County Couderay village, Sawyer County Couderay town, Sawyer County Courtland town, Columbia County Crandon city, Forest County Crandon town, Forest County Cranmoor town, Wood County Crescent town, Oneida County Crivitz village, Marinette County Cross town, Buffalo County Cross Plains village, Dane County Cross Plains town, Dane County Crystal town, Washburn County Crystal Lake town, Barron County Crystal Lake town, Marquette County Cuba City city Grant County Lafayette County Cudahy city, Milwaukee County Cumberland city, Barron County Cumberland town, Barron County 758 452 398 982 235 306 587 119 849 849 899 093 351 213 246 768 391 370 742 440 475 154 731 1980 732 422 1 270 958 286 404 610 975 851 1 751 925 920 4 567 254 263 692 381 317 815 409 512 177 760 1 496 1 151 345 800 684 852 1 149 660 367 437 4 049 4 049 … 704 2 573 369 1 376 1 805 826 86 603 757 758 1 249 1 583 807 888 2 952 114 394 601 1 969 569 234 1 702 1 041 393 2 156 1 003 276 756 332 2 129 1 928 201 19 547 1 983 909 1970 607 411 761 777 250 394 612 612 757 1 333 1 090 830 4 600 277 255 305 360 328 889 410 506 121 678 1 178 885 293 812 1 018 683 1 026 499 336 382 3 789 3 789 … 715 2 771 254 1 132 1 130 543 114 610 697 596 1 094 1 616 725 478 1 818 123 170 628 1 582 406 248 1 441 … 363 1 478 995 225 712 248 1 993 1 902 91 22 078 1 839 910 1990 318 216 503 333 105 107 202 378 332 690 318 295 1 941 263 139 826 174 146 243 184 216 166 272 603 421 182 256 248 361 470 239 196 447 1 734 1 729 5 241 738 333 1 000 688 1 420 38 178 270 321 418 635 340 396 1 156 51 213 191 932 343 73 1 014 449 111 780 459 178 423 546 783 724 59 7 642 1 060 398 1980 284 172 444 295 113 128 184 331 312 651 302 255 1 961 255 125 780 148 129 239 170 209 110 259 560 415 145 234 231 352 449 227 184 265 1 596 1 596 … 235 691 287 1 009 595 1 170 34 176 266 305 352 622 361 289 930 53 194 190 869 302 69 895 419 118 683 323 137 373 429 744 680 64 7 290 892 365 1970 206 128 243 206 95 118 172 185 275 461 299 213 1 734 180 100 429 112 105 260 154 172 79 216 433 318 115 211 315 249 359 164 157 285 1 323 1 323 … 200 600 113 916 320 636 37 151 258 228 280 515 214 149 491 42 90 189 606 187 76 596 … 96 397 233 88 242 268 624 601 23 6 965 722 291

Square kilometers 146.0 92.9 4.4 79.1 92.4 92.6 88.3 92.2 91.7 2.0 93.1 93.0 10.4 155.1 119.7 91.1 89.7 .6 91.8 2.3 1.9 93.1 171.9 3.2 2.0 1.2 87.6 63.3 2.8 3.7 89.5 2.8 86.1 9.7 9.6 .1 83.3 3.6 111.2 9.1 94.7 227.2 1.3 88.8 90.5 2.6 91.0 10.5 379.7 2.4 89.7 2.5 174.3 91.7 16.0 92.7 109.7 90.1 3.8 97.6 2.5 92.1 92.4 91.7 93.0 2.8 2.5 .3 12.3 8.0 85.7

Square miles 56.4 35.9 1.7 30.5 35.7 35.7 34.1 35.6 35.4 .8 35.9 35.9 4.0 59.9 46.2 35.2 34.6 .2 35.4 .9 .7 35.9 66.4 1.2 .8 .5 33.8 24.4 1.1 1.4 34.6 1.1 33.2 3.7 3.7 – 32.2 1.4 42.9 3.5 36.6 87.7 .5 34.3 34.9 1.0 35.1 4.1 146.6 .9 34.6 1.0 67.3 35.4 6.2 35.8 42.3 34.8 1.4 37.7 1.0 35.6 35.7 35.4 35.9 1.1 1.0 .1 4.8 3.1 33.1

Square kilometers 140.2 92.9 4.4 76.8 87.7 92.5 88.3 89.0 91.0 2.0 93.0 93.0 10.3 154.4 119.7 81.3 88.4 .6 91.7 2.3 1.9 93.1 168.5 3.2 2.0 1.2 87.6 63.2 2.8 3.6 88.7 2.8 85.6 9.7 9.5 .1 83.3 3.1 109.6 7.9 93.3 208.7 1.3 88.8 90.5 2.6 91.0 9.2 379.5 2.4 89.7 2.5 172.2 91.3 13.5 87.5 95.2 81.6 3.8 97.6 2.5 92.0 90.8 87.0 91.4 2.8 2.5 .3 12.3 6.5 83.2

Square miles 54.1 35.9 1.7 29.7 33.9 35.7 34.1 34.4 35.1 .8 35.9 35.9 4.0 59.6 46.2 31.4 34.1 .2 35.4 .9 .7 35.9 65.0 1.2 .8 .5 33.8 24.4 1.1 1.4 34.2 1.1 33.1 3.7 3.7 – 32.2 1.2 42.3 3.0 36.0 80.6 .5 34.3 34.9 1.0 35.1 3.6 146.5 .9 34.6 1.0 66.5 35.3 5.2 33.8 36.7 31.5 1.4 37.7 1.0 35.5 35.1 33.6 35.3 1.1 1.0 .1 4.8 2.5 32.1

Square kilometer 5.4 4.9 317.7 12.8 2.7 3.3 6.6 12.6 9.3 924.5 9.7 11.8 422.4 1.4 2.1 9.4 4.4 616.7 8.1 191.3 250.0 1.7 4.3 478.8 558.0 346.7 9.7 10.8 299.6 308.3 7.8 136.8 5.8 422.0 429.8 100.0 10.1 706.5 3.7 171.3 20.3 4.5 70.8 6.7 7.7 314.2 14.5 167.5 2.1 471.3 39.3 36.8 2.2 5.8 145.0 6.0 1.9 21.9 262.1 3.1 839.2 14.3 3.1 8.0 4.4 722.9 745.2 536.7 1 517.0 332.8 10.6

Square mile 14.0 12.6 822.4 33.1 6.9 8.6 17.2 32.5 24.2 2 311.3 25.0 30.4 1 087.8 3.6 5.3 24.5 11.5 1 850.0 21.0 488.9 678.6 4.3 11.2 1 276.7 1 395.0 832.0 25.0 28.0 762.7 792.9 20.2 348.2 15.1 1 106.2 1 103.5 – 26.0 1 825.0 9.6 451.0 52.7 11.6 184.0 17.3 20.1 817.0 37.6 428.1 5.4 1 256.7 101.9 92.0 5.8 15.0 376.5 15.7 5.0 56.8 711.4 8.1 2 098.0 37.2 7.9 20.8 11.3 1 840.0 1 863.0 1 610.0 3 887.3 865.2 27.5

Square kilometer 2.3 2.3 114.3 4.3 1.2 1.2 2.3 4.2 3.6 345.0 3.4 3.2 188.4 1.7 1.2 10.2 2.0 243.3 2.6 80.0 113.7 1.8 1.6 188.4 210.5 151.7 2.9 3.9 128.9 130.6 2.7 70.0 5.2 178.8 182.0 50.0 2.9 238.1 3.0 126.6 7.4 6.8 29.2 2.0 3.0 123.5 4.6 69.0 .9 165.0 12.9 20.4 1.2 2.1 69.0 3.9 .8 12.4 118.2 1.1 312.0 5.0 2.0 4.9 6.0 279.6 289.6 196.7 621.3 163.1 4.8

Square mile 5.9 6.0 295.9 11.2 3.1 3.0 5.9 11.0 9.5 862.5 8.9 8.2 485.3 4.4 3.0 26.3 5.1 730.0 6.9 204.4 308.6 4.6 4.2 502.5 526.3 364.0 7.6 10.2 328.2 335.7 7.0 178.2 13.5 468.6 467.3 – 7.5 615.0 7.9 333.3 19.1 17.6 76.0 5.2 7.7 321.0 11.9 176.4 2.3 440.0 33.4 51.0 3.2 5.4 179.2 10.1 2.0 32.2 320.7 2.9 780.0 12.9 5.1 12.6 15.5 711.8 724.0 590.0 1 592.1 424.0 12.4

1

1 1 1 4

1 532 1 116 416 846 683 839 1 110 691 383 499 4 093 4 083 10 838 2 190 407 1 353 1 896 932 92 594 701 817 1 320 1 541 795 1 131 3 525 92 386 528 1 958 529 185 1 790 996 307 2 098 1 320 279 700 400 2 024 1 863 161 18 659 2 163 884

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 49 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 49

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Curran town, Jackson County Curtiss village, Clark County Cutler town, Juneau County Cylon town, St. Croix County Dairyland town, Douglas County Dakota town, Waushara County Dale town, Outagamie County Dallas village, Barron County Dallas town, Barron County Dane village, Dane County Dane town, Dane County Daniels town, Burnett County Darien village, Walworth County Darien town, Walworth County Darlington city, Lafayette County Darlington town, Lafayette County Day town, Marathon County Dayton town, Richland County Dayton town, Waupaca County Decatur town, Green County Deer Creek town, Outagamie County Deer Creek town, Taylor County Deerfield village, Dane County Deerfield town, Dane County Deerfield town, Waushara County Deer Park village, St. Croix County De Forest village, Dane County Dekorra town, Columbia County Delafield city, Waukesha County Delafield town, Waukesha County Delavan city, Walworth County Delavan town, Walworth County Delavan Lake CDP, Walworth County Dellona town, Sauk County Dell Prairie town, Adams County Delmar town, Chippewa County Delta town, Bayfield County Delton town, Sauk County Denmark village, Brown County De Pere city, Brown County De Pere town, Brown County De Soto village Crawford County Vernon County Dewey town, Burnett County Dewey town, Portage County Dewey town, Rusk County Dewhurst town, Clark County Dexter town, Wood County Diamond Bluff town, Pierce County Dickeyville village, Grant County Dodge town, Trempealeau County Dodgeville city, Iowa County Dodgeville town, Iowa County Dorchester village, Clark County Doty town, Oconto County Douglas town, Marquette County Dousman village, Waukesha County Dover town, Buffalo County Dover town, Racine County Dovre town, Barron County Downing village, Dunn County Doyle town, Barron County Doylestown village, Columbia County Drammen town, Eau Claire County Draper town, Sawyer County Dresser village, Polk County Drummond town, Bayfield County Dunbar town, Marinette County Dunkirk town, Dane County Dunn town, Dane County Dunn town, Dunn County Dupont town, Waupaca County 351 173 314 639 222 092 818 452 548 621 921 602 158 490 235 867 010 706 992 076 724 738 617 181 454 237 882 829 347 735 073 195 177 768 063 994 215 599 612 569 558 326 73 253 482 849 487 197 354 492 862 397 882 172 697 184 684 277 451 631 561 250 460 316 767 208 614 417 838 121 274 315 634 1980 410 127 369 717 258 994 620 477 567 518 945 607 152 495 300 842 989 709 514 035 826 747 466 111 445 232 367 914 083 597 684 182 082 705 856 062 205 426 475 892 535 318 66 252 520 803 399 132 429 458 156 399 458 234 613 154 764 153 455 419 526 242 455 294 725 242 670 442 522 098 966 294 615 1970 360 135 294 620 233 752 405 359 465 486 894 532 839 413 351 949 962 577 979 705 855 764 067 855 367 217 911 763 182 750 526 798 124 472 435 079 150 846 364 309 365 295 79 216 419 575 363 99 341 355 057 432 255 164 491 93 603 451 435 780 539 215 426 265 672 258 533 349 359 139 391 969 645 1990 141 77 185 227 269 653 606 177 202 212 297 446 411 561 997 293 324 272 249 402 253 238 599 382 360 98 757 091 172 915 427 847 986 400 638 320 358 777 650 938 507 155 40 115 241 293 274 317 197 188 336 146 1 573 515 283 583 364 369 147 1 233 207 92 180 120 275 404 259 627 771 761 2 122 515 245 1980 140 61 316 229 249 550 506 176 201 178 270 390 394 484 968 274 292 255 036 323 243 218 512 356 380 90 150 013 562 490 143 661 857 283 495 300 253 615 589 792 414 154 42 112 238 256 241 239 175 160 364 145 1 379 443 239 598 330 315 158 1 005 197 93 163 119 249 353 258 645 579 700 1 972 464 281 1970 120 54 111 181 175 357 391 136 173 137 201 285 269 399 836 239 240 183 667 240 216 183 332 238 256 79 578 890 106 123 837 442 876 151 243 268 198 403 450 441 307 113 32 81 169 175 160 164 131 119 240 129 1 113 341 164 253 266 132 140 825 175 78 133 89 182 306 174 452 348 611 1 234 298 183

Square kilometers 93.8 1.8 140.0 91.7 364.7 88.3 78.9 3.9 87.7 2.6 91.3 92.7 2.0 90.4 2.9 120.3 88.0 91.0 94.3 89.1 92.0 88.5 2.9 89.3 90.7 2.5 6.3 116.6 28.2 56.0 14.2 76.6 15.5 91.0 89.6 112.7 187.0 83.5 3.8 23.4 46.4 3.3 .9 2.5 95.5 121.8 88.2 93.6 92.0 47.5 2.2 55.4 8.6 234.5 3.2 140.9 75.6 2.8 93.8 93.8 91.2 7.7 92.2 10.4 93.1 358.0 4.4 370.9 272.5 85.9 89.2 147.8 91.2

Square miles 36.2 .7 54.0 35.4 140.8 34.1 30.5 1.5 33.9 1.0 35.2 35.8 .8 34.9 1.1 46.4 34.0 35.1 36.4 34.4 35.5 34.2 1.1 34.5 35.0 1.0 2.4 45.0 10.9 21.6 5.5 29.6 6.0 35.2 34.6 43.5 72.2 32.2 1.5 9.0 17.9 1.3 .3 .9 36.9 47.0 34.1 36.2 35.5 18.3 .9 21.4 3.3 90.5 1.2 54.4 29.2 1.1 36.2 36.2 35.2 3.0 35.6 4.0 35.9 138.2 1.7 143.2 105.2 33.2 34.5 57.1 35.2

Square kilometers 93.8 1.8 135.1 91.5 363.2 86.7 78.8 3.8 87.7 2.6 91.3 87.3 2.0 90.3 2.9 120.3 87.4 91.0 91.3 88.6 91.9 88.5 2.9 88.9 89.8 2.4 6.2 106.6 24.1 50.6 13.1 69.3 9.2 90.9 86.6 112.6 180.2 81.8 3.8 21.6 46.0 3.1 .8 2.3 94.0 117.3 80.4 91.7 88.6 43.2 2.2 55.4 8.6 233.4 3.2 135.1 74.7 2.7 93.8 91.7 91.0 7.7 92.2 10.2 93.1 352.5 4.4 355.3 270.5 84.8 74.3 144.3 90.3

Square miles 36.2 .7 52.2 35.3 140.2 33.5 30.4 1.5 33.9 1.0 35.2 33.7 .8 34.9 1.1 46.4 33.7 35.1 35.2 34.2 35.5 34.2 1.1 34.3 34.7 .9 2.4 41.2 9.3 19.5 5.1 26.8 3.5 35.1 33.4 43.5 69.6 31.6 1.5 8.3 17.8 1.2 .3 .9 36.3 45.3 31.0 35.4 34.2 16.7 .9 21.4 3.3 90.1 1.2 52.2 28.8 1.0 36.2 35.4 35.1 3.0 35.6 3.9 35.9 136.1 1.7 137.2 104.4 32.7 28.7 55.7 34.9

Square kilometer 3.7 96.1 2.3 7.0 .6 12.6 23.1 118.9 6.2 238.8 10.1 6.9 579.0 16.5 770.7 7.2 11.6 7.8 21.8 12.1 7.9 8.3 557.6 13.3 5.1 98.8 787.4 17.2 221.9 113.3 463.6 60.5 236.6 8.4 12.3 8.8 1.2 19.5 424.2 767.1 33.9 105.2 91.3 110.0 5.1 7.2 6.1 2.1 4.0 11.4 391.8 7.2 451.4 5.0 217.8 1.4 9.2 473.0 4.8 39.6 6.2 32.5 5.0 31.0 8.2 .6 139.5 1.2 3.1 25.0 71.0 9.1 7.0

Square mile 9.7 247.1 6.0 18.1 1.6 32.6 59.8 301.3 16.2 621.0 26.2 17.9 447.5 42.7 031.8 18.7 30.0 20.1 56.6 31.5 20.4 21.6 470.0 34.4 13.1 263.3 034.2 44.4 574.9 294.1 190.8 156.5 622.0 21.9 31.8 22.9 3.1 50.6 074.7 996.3 87.5 271.7 243.3 281.1 13.3 18.7 15.7 5.6 10.4 29.5 957.8 18.6 1 176.4 13.0 580.8 3.5 23.8 1 277.0 12.5 102.6 16.0 83.3 12.9 81.0 21.4 1.5 361.2 3.0 8.0 64.9 183.8 23.6 18.2

Square kilometer 1.5 42.8 1.4 2.5 .7 7.5 7.7 46.6 2.3 81.5 3.3 5.1 205.5 6.2 343.8 2.4 3.7 3.0 13.7 4.5 2.8 2.7 206.6 4.3 4.0 40.8 283.4 10.2 90.1 37.8 185.3 41.1 215.9 4.4 7.4 2.8 2.0 9.5 171.1 274.9 11.0 50.0 50.0 50.0 2.6 2.5 3.4 3.5 2.2 4.4 152.7 2.6 182.9 2.2 88.4 4.3 4.9 136.7 1.6 13.4 2.3 11.9 2.0 11.8 3.0 1.1 58.9 1.8 2.9 9.0 28.6 3.6 2.7

Square mile 3.9 110.0 3.5 6.4 1.9 19.5 19.9 118.0 6.0 212.0 8.4 13.2 513.8 16.1 906.4 6.3 9.6 7.7 35.5 11.8 7.1 7.0 544.5 11.1 10.4 108.9 732.1 26.5 233.5 98.2 475.9 106.2 567.4 11.4 19.1 7.4 5.1 24.6 433.3 715.4 28.5 129.2 133.3 127.8 6.6 6.5 8.8 9.0 5.8 11.3 373.3 6.8 476.7 5.7 235.8 11.2 12.6 369.0 4.1 34.8 5.9 30.7 5.1 30.8 7.7 3.0 152.4 4.6 7.4 23.3 73.9 9.2 7.0

1 1

1

1

1 1 2 1 1 1

1 1 2

1 2

1 2

1 1

1

1

1 1 4 1 5 5 6 4 2 1 1 1 16 1

1 1 3 1 4 4 5 4 2 1 1 1 14 1

1

1

1 1 3 3 5 3 2 1 1 13 1

1 1 2 1 2 2 1

1 1 1 1 2 2 1

2

1 1 1 2 1

1

5

4

3

1 1

1 3 1

1 3 1

3 1

1 3

1 3

3

2 5 1

2 4 1

2 3

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 50 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

50 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Durand city, Pepin County Durand town, Pepin County Eagle town, Richland County Eagle village, Waukesha County Eagle town, Waukesha County Eagle Lake CDP, Racine County Eagle Point town, Chippewa County Eagle River city, Vilas County Eastman village, Crawford County Eastman town, Crawford County Easton town, Adams County Easton town, Marathon County East Troy village, Walworth County East Troy town, Walworth County Eaton town, Brown County Eaton town, Clark County Eaton town, Manitowoc County Eau Claire city Chippewa County Eau Claire County Eau Galle town, Dunn County Eau Galle town, St. Croix County Eau Pleine town, Marathon County Eau Pleine town, Portage County Eden village, Fond du Lac County Eden town, Fond du Lac County Eden town, Iowa County Edgar village, Marathon County Edgerton city, Rock County Edgewater town, Sawyer County Edson town, Chippewa County Egg Harbor village, Door County Egg Harbor town, Door County Eileen town, Bayfield County Eisenstein town, Price County Eland village, Shawano County Elba town, Dodge County Elcho town, Langlade County Elderon village, Marathon County Elderon town, Marathon County Eldorado town, Fond du Lac County Eleva village, Trempealeau County Elk town, Price County Elk Grove town, Lafayette County Elkhart Lake village, Sheboygan County Elkhorn city, Walworth County Elk Mound village, Dunn County Elk Mound town, Dunn County Ellenboro town, Grant County Ellington town, Outagamie County Ellsworth village, Pierce County Ellsworth town, Pierce County Elm Grove village, Waukesha County Elmwood village, Pierce County Elmwood Park village, Racine County El Paso town, Pierce County Elroy city, Juneau County Embarrass village, Waupaca County Emerald town, St. Croix County Emery town, Price County Emmet town, Dodge County Emmet town, Marathon County Empire town, Fond du Lac County Endeavor village, Marquette County Enterprise town, Oneida County Ephraim village, Door County Erin town, Washington County Erin Prairie town, St. Croix County Estella town, Chippewa County Ettrick village, Trempealeau County Ettrick town, Trempealeau County 2 003 604 611 1 182 2 028 1 196 2 542 1 374 369 745 1 2 3 1 824 039 664 687 128 640 761 1980 2 047 591 634 1 008 1 758 … 2 750 1 326 371 840 1 2 3 1 858 046 385 583 106 663 764 1970 2 103 501 652 745 1 250 … 2 224 1 326 319 781 491 912 1 711 2 743 1 049 572 741 44 619 957 43 662 892 720 796 784 376 1 041 503 928 4 118 286 1 082 184 693 599 653 229 960 885 185 506 1 302 574 636 613 787 3 992 471 455 517 1 696 1 983 1 260 7 201 737 456 686 1 513 472 588 288 1 050 850 1 730 328 213 236 1 641 516 484 463 1 268 1990 835 202 242 400 763 578 922 706 137 407 600 335 999 1 565 374 199 276 21 880 564 21 316 326 269 236 376 227 327 142 500 1 792 745 303 451 690 268 483 90 338 1 403 76 256 467 209 843 150 513 2 202 267 269 178 671 1 066 340 2 398 335 193 210 653 148 203 191 329 237 831 123 414 705 968 208 173 215 514 1980 845 187 232 326 667 … 866 624 139 369 515 321 892 1 488 329 194 242 19 224 558 18 666 302 284 229 312 189 312 150 422 1 768 613 306 361 498 239 448 97 335 1 313 79 241 469 234 817 150 499 1 873 266 223 186 542 830 458 2 246 340 172 207 610 139 191 170 332 206 689 135 369 506 811 197 159 201 482 1970 701 132 190 221 498 … 618 542 111 229 302 241 580 1 174 259 157 184 14 279 283 13 996 269 210 207 269 99 257 133 306 1 464 251 257 174 366 175 306 85 278 879 77 177 363 196 286 142 265 1 423 145 134 138 422 664 370 1 795 289 140 179 569 116 163 120 281 190 434 122 254 338 479 128 148 166 384

Square kilometers 4.3 49.5 92.2 2.7 91.4 7.8 174.0 6.7 9.3 188.1 93.6 111.5 6.9 85.9 62.9 88.2 91.7 77.1 9.5 67.5 124.2 88.8 86.1 149.5 .9 93.8 91.5 4.3 8.0 135.6 139.8 4.8 266.8 91.4 197.7 5.8 91.9 194.9 3.0 90.4 93.9 1.4 138.7 93.9 3.0 12.5 5.9 87.3 93.6 90.7 9.3 83.5 8.4 3.8 .4 90.8 4.4 3.1 90.4 280.3 83.3 104.1 78.3 1.8 152.6 10.1 94.0 92.3 83.6 1.7 199.6

Square miles 1.7 19.1 35.6 1.0 35.3 3.0 67.2 2.6 3.6 72.6 36.2 43.0 2.7 33.2 24.3 34.1 35.4 29.8 3.7 26.1 47.9 34.3 33.2 57.7 .3 36.2 35.3 1.7 3.1 52.3 54.0 1.8 103.0 35.3 76.3 2.2 35.5 75.3 1.2 34.9 36.2 .6 53.6 36.3 1.1 4.8 2.3 33.7 36.2 35.0 3.6 32.2 3.3 1.5 .1 35.1 1.7 1.2 34.9 108.2 32.1 40.2 30.2 .7 58.9 3.9 36.3 35.6 32.3 .7 77.1

Square kilometers 4.1 48.0 90.0 2.7 90.3 5.7 160.8 6.2 9.3 185.1 93.5 111.4 6.7 81.2 62.7 88.1 91.1 71.7 9.3 62.4 122.7 88.3 86.1 143.7 .9 93.7 91.2 4.3 8.0 122.2 139.7 4.8 94.9 91.2 194.1 5.8 91.8 184.9 2.9 89.6 92.7 1.4 131.7 93.9 3.0 12.4 5.9 87.3 93.6 90.3 9.3 83.5 8.4 3.8 .4 90.8 4.4 3.1 90.2 280.1 83.3 103.2 78.0 1.7 146.8 10.1 92.9 91.9 82.4 1.7 199.6

Square miles 1.6 18.5 34.8 1.0 34.9 2.2 62.1 2.4 3.6 71.5 36.1 43.0 2.6 31.4 24.2 34.0 35.2 27.7 3.6 24.1 47.4 34.1 33.2 55.5 .3 36.2 35.2 1.7 3.1 47.2 54.0 1.8 36.7 35.2 74.9 2.2 35.4 71.4 1.1 34.6 35.8 .5 50.8 36.3 1.1 4.8 2.3 33.7 36.2 34.9 3.6 32.2 3.3 1.5 .1 35.1 1.7 1.2 34.8 108.1 32.1 39.8 30.1 .6 56.7 3.9 35.9 35.5 31.8 .7 77.1

Square kilometer 488.5 12.6 6.8 437.8 22.5 209.8 15.8 221.6 39.7 4.0 8.8 9.3 397.6 45.4 18.0 7.3 8.4 793.0 180.2 884.3 7.0 8.6 8.0 6.6 677.8 11.1 4.2 306.5 531.8 4.2 6.5 38.1 10.7 7.3 3.5 42.6 10.5 5.8 60.3 6.8 15.2 350.7 8.0 5.1 339.7 430.4 129.7 8.6 5.6 23.2 291.0 12.3 745.4 203.9 1 335.0 7.1 348.4 148.7 7.0 1.1 12.2 7.1 31.9 185.9 1.8 25.8 30.3 7.0 5.4 271.2 6.7

Square mile 1 251.9 32.6 17.6 1 182.0 58.1 543.6 40.9 572.5 102.5 10.4 22.8 24.2 1 024.6 117.4 46.6 18.8 21.6 2 052.6 465.6 2 289.6 18.0 22.2 20.7 17.0 2 033.3 28.6 10.8 775.3 1 372.3 10.8 16.9 101.7 27.8 18.9 9.1 112.3 27.2 15.1 159.1 17.5 39.4 982.0 20.8 13.1 926.4 1 111.9 332.6 22.2 14.4 60.1 751.7 32.0 1 897.3 516.7 5 340.0 18.3 901.8 384.2 18.1 3.0 31.6 18.4 82.6 526.7 4.8 66.9 78.5 18.2 14.1 658.6 17.4

Square kilometer 203.7 4.2 2.7 148.1 8.4 101.4 5.7 113.9 14.7 2.2 6.4 3.0 149.1 19.3 6.0 2.3 3.0 305.2 60.6 341.6 2.7 3.0 2.7 2.6 252.2 3.5 1.6 116.3 224.0 6.1 2.2 94.0 7.3 2.9 2.5 15.5 3.7 7.6 26.2 2.9 5.0 149.3 6.4 1.6 171.0 177.6 45.3 3.1 1.9 7.4 114.6 4.1 285.5 88.2 482.5 2.3 148.4 47.7 2.3 .7 3.9 2.3 10.7 72.4 2.8 69.8 10.4 2.3 2.1 126.5 2.6

Square mile 521.9 10.9 7.0 400.0 21.9 262.7 14.8 294.2 38.1 5.7 16.6 7.8 384.2 49.8 15.5 5.9 7.8 789.9 156.7 884.5 6.9 7.9 7.1 6.8 756.7 9.0 4.0 294.1 578.1 15.8 5.6 250.6 18.8 7.6 6.4 40.9 9.5 19.6 69.1 7.4 13.0 418.0 16.6 4.1 466.4 458.8 116.1 8.0 4.9 19.2 296.1 10.6 726.7 223.3 1 930.0 6.0 384.1 123.3 5.8 1.8 10.2 6.0 27.6 205.0 7.3 180.8 27.0 5.9 5.4 307.1 6.7

56 856 1 676 55 180 854 756 688 944 610 1 037 381 1 318 4 254 509 913 183 1 019 665 679 247 964 1 075 175 605 1 409 491 1 059 476 1 019 5 337 765 749 521 2 099 2 706 1 030 6 261 775 534 641 1 533 461 630 322 1 014 732 2 485 316 271 261 2 817 647 449 461 1 339

51 509 1 657 49 852 944 897 759 963 534 130 419 194 335 441 061

1 1 4 1

238 825 664 728 230 1 028 1 078 191 628 1 502 593 996 522 054 605 737 668 544 865 143

1 4

1 2

1 408 6 735 885 483 689 1 504 496 638 308 1 089 757 2 359 335 277 319 2 455 661 483 462 1 420

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 51 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 51

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Eureka town, Polk County Evansville city, Rock County Evergreen town, Langlade County Evergreen CDP, Marathon County Evergreen town, Washburn County Excelsior town, Sauk County Exeland village, Sawyer County Exeter town, Green County Fairbanks town, Shawano County Fairchild village, Eau Claire County Fairchild town, Eau Claire County Fairfield town, Sauk County Fairwater village, Fond du Lac County Fall Creek village, Eau Claire County Fall River village, Columbia County Farmington town, Jefferson County Farmington town, La Crosse County Farmington town, Polk County Farmington town, Washington County Farmington town, Waupaca County Fayette town, Lafayette County Fence town, Florence County Fennimore city, Grant County Fennimore town, Grant County Fenwood village, Marathon County Fern town, Florence County Ferryville village, Crawford County Fifield town, Price County Finley town, Juneau County Fitchburg city, Dane County Urban part Rural part Flambeau town, Price County Flambeau town, Rusk County Florence town, Florence County Fond du Lac city, Fond du Lac County Fond du Lac town, Fond du Lac County Fontana-on-Geneva Lake village, Walworth County Footville village, Rock County Ford town, Taylor County Forest town, Fond du Lac County Forest town, Richland County Forest town, St. Croix County Forest town, Vernon County Forestville village, Door County Forestville town, Door County Fort Atkinson city, Jefferson County Fort Winnebago town, Columbia County Foster town, Clark County Fountain town, Juneau County Fountain City city, Buffalo County Fountain Prairie town, Columbia County Fox Lake city, Dodge County Fox Lake town, Dodge County Fox Point village, Milwaukee County Francis Creek village, Manitowoc County Frankfort town, Marathon County Frankfort town, Pepin County Franklin town, Jackson County Franklin town, Kewaunee County Franklin town, Manitowoc County Franklin city, Milwaukee County Franklin town, Sauk County Franklin town, Vernon County Franzen town, Marathon County Frederic village, Polk County Fredonia village, Ozaukee County Fredonia town, Ozaukee County Freedom town, Forest County Freedom town, Outagamie County Freedom town, Sauk County Freeman town, Crawford County Fremont town, Clark County 1 201 3 174 483 3 423 910 1 194 180 756 600 504 312 826 302 1 034 842 1 404 1 576 1 267 2 523 3 602 390 222 2 378 556 214 112 154 863 66 15 648 15 157 491 1 2 37 2 1 1 459 018 097 757 308 635 764 254 094 339 614 543 470 999 227 825 85 633 938 743 269 938 238 562 606 322 431 990 325 855 668 926 532 124 558 043 296 114 422 692 963 1 1 35 3 1 1 1980 1 135 2 835 515 1 842 798 1 266 219 709 608 577 278 819 310 1 148 850 1 528 1 603 1 195 2 386 2 959 447 192 2 212 726 165 111 227 805 72 … … … 389 086 809 863 001 764 794 274 098 351 631 551 455 035 785 860 111 598 963 771 373 674 649 589 743 397 417 062 372 871 747 047 571 039 437 144 307 746 405 796 982 1970 1 043 2 992 436 … 561 786 189 685 631 562 238 658 373 825 633 1 391 1 383 1 156 1 734 2 242 444 191 1 861 676 147 61 183 763 87 … … … 299 931 262 515 896 464 698 248 106 391 649 571 349 902 164 673 51 616 017 816 242 501 939 492 725 409 414 966 488 247 798 926 535 908 045 746 276 926 371 677 905 1 1 1990 523 305 241 106 445 439 111 260 259 222 144 348 118 415 341 473 639 414 858 486 163 344 024 204 70 281 95 742 121 1980 446 1 143 210 560 416 409 103 234 209 224 117 294 119 422 323 458 573 389 731 1 166 148 288 882 248 59 250 119 708 115 … … … 375 413 417 540 044 681 281 93 329 151 201 229 172 354 845 302 159 201 389 305 569 894 911 205 202 152 148 339 399 543 213 358 188 485 448 605 318 080 188 358 320 1970 358 1 028 144 … 241 223 88 195 192 196 96 228 124 285 215 392 412 276 525 895 136 208 689 192 49 146 76 439 43 … … … 169 309 928 374 056 063 231 88 269 127 178 203 117 279 148 229 119 179 348 266 473 803 283 140 182 121 127 284 383 992 191 276 146 341 297 453 240 715 131 277 282

Square kilometers 141.8 5.0 93.9 10.6 90.3 88.0 2.6 91.0 91.4 3.8 89.4 92.2 1.9 3.9 3.5 95.0 195.8 117.0 95.0 92.9 93.1 233.2 3.8 90.1 2.6 91.1 6.4 405.3 99.9 90.6 53.8 36.8 254.8 90.4 408.4 35.3 59.8 10.4 2.6 90.8 93.5 91.9 96.4 93.2 1.3 92.0 11.4 88.0 185.3 80.3 14.4 91.1 3.9 99.0 7.6 2.4 91.2 80.2 94.8 93.7 93.7 89.9 127.9 133.6 94.8 3.9 3.7 90.6 93.5 92.6 89.9 201.3 91.3

Square miles 54.7 1.9 36.3 4.1 34.9 34.0 1.0 35.1 35.3 1.5 34.5 35.6 .7 1.5 1.3 36.7 75.6 45.2 36.7 35.9 35.9 90.0 1.5 34.8 1.0 35.2 2.5 156.5 38.6 35.0 20.8 14.2 98.4 34.9 157.7 13.6 23.1 4.0 1.0 35.1 36.1 35.5 37.2 36.0 .5 35.5 4.4 34.0 71.5 31.0 5.6 35.2 1.5 38.2 2.9 .9 35.2 31.0 36.6 36.2 36.2 34.7 49.4 51.6 36.6 1.5 1.4 35.0 36.1 35.8 34.7 77.7 35.2

Square kilometers 139.5 4.9 92.8 10.6 86.9 87.8 2.6 91.0 91.2 3.8 89.4 90.6 1.9 3.8 3.4 94.7 195.3 114.6 94.2 90.3 91.2 231.7 3.8 90.1 2.6 88.1 6.4 386.9 99.2 90.5 53.8 36.7 248.1 89.6 398.0 33.1 57.0 7.5 2.6 84.9 91.3 91.9 96.3 93.2 1.3 91.7 11.2 86.7 184.7 80.3 11.5 90.3 3.6 83.6 7.6 2.4 91.2 77.9 94.8 91.9 93.7 89.7 127.4 133.5 94.3 3.8 3.7 89.8 88.2 92.6 89.6 176.6 91.3

Square miles 53.9 1.9 35.8 4.1 33.6 33.9 1.0 35.1 35.2 1.5 34.5 35.0 .7 1.5 1.3 36.6 75.4 44.2 36.4 34.9 35.2 89.5 1.5 34.8 1.0 34.0 2.5 149.4 38.3 34.9 20.8 14.2 95.8 34.6 153.7 12.8 22.0 2.9 1.0 32.8 35.2 35.5 37.2 36.0 .5 35.4 4.3 33.5 71.3 31.0 4.5 34.9 1.4 32.3 2.9 .9 35.2 30.1 36.6 35.5 36.2 34.6 49.2 51.5 36.4 1.5 1.4 34.7 34.1 35.8 34.6 68.2 35.2

Square kilometer 8.6 647.8 5.2 322.9 10.5 13.6 69.2 8.3 6.6 132.6 3.5 9.1 158.9 272.1 247.6 14.8 8.1 11.1 26.8 39.9 4.3 1.0 625.8 6.2 82.3 1.3 24.1 2.2 .7 172.9 281.7 13.4 1.9 11.4 5.3 1 140.7 40.5 218.0 293.8 3.0 12.0 3.7 6.4 5.8 361.5 10.9 913.1 9.5 .5 7.9 81.6 8.2 352.5 23.2 952.4 234.2 6.6 4.1 4.5 10.8 14.1 243.6 5.2 6.9 5.6 295.8 421.1 22.8 3.4 44.4 4.7 3.9 10.5

Square mile 22.3 1 670.5 13.5 834.9 27.1 35.2 180.0 21.5 17.0 336.0 9.0 23.6 431.4 689.3 647.7 38.4 20.9 28.7 69.3 103.2 11.1 2.5 1 585.3 16.0 214.0 3.3 61.6 5.8 1.7 448.4 728.7 34.6 4.8 29.4 13.6 949.8 104.9 563.8 764.0 7.7 31.1 9.5 16.5 15.1 940.0 28.2 378.4 24.6 1.2 20.4 208.4 21.3 906.4 60.0 495.9 624.4 17.2 10.7 11.8 27.9 36.6 631.6 13.6 18.0 14.6 749.3 112.9 58.9 8.7 114.9 12.2 10.1 27.4

Square kilometer 3.7 266.3 2.6 104.3 5.1 5.0 42.7 2.9 2.8 58.4 1.6 3.8 62.1 109.2 100.3 5.0 3.3 3.6 9.1 16.5 1.8 1.5 269.5 2.3 26.9 3.2 14.8 1.9 1.2 73.9 120.7 5.1 1.5 4.7 3.9 458.5 15.4 264.9 114.6 1.1 4.0 1.6 2.1 2.4 154.6 4.0 363.8 3.3 .9 2.9 36.3 3.3 152.5 10.5 387.9 92.9 2.3 1.8 1.8 3.9 4.7 86.4 1.8 2.6 2.2 147.1 138.4 7.3 4.6 14.5 2.0 2.1 3.7

Square mile 9.7 686.8 6.7 269.8 13.2 12.9 111.0 7.4 7.4 148.0 4.2 9.9 168.6 276.7 262.3 12.9 8.5 9.4 23.6 42.6 4.6 3.8 682.7 5.9 70.0 8.3 38.0 5.0 3.2 191.5 312.3 13.3 3.9 12.1 10.0 1 185.6 39.8 685.2 298.0 2.7 10.3 4.3 5.6 6.3 402.0 10.3 947.4 8.6 2.3 7.4 92.7 8.5 392.1 27.1 1 016.6 247.8 6.0 4.7 4.7 10.1 12.2 224.1 4.7 6.8 5.6 372.7 365.7 19.0 11.9 37.5 5.2 5.5 9.6

1

1

6 685 6 496 189 374 417 1 538 15 176 876 1 987 298 90 363 151 207 228 201 363 4 074 287 165 229 417 297 549 876 2 948 223 211 141 173 360 443 7 753 232 352 204 559 512 658 407 1 342 180 373 339

1 35 3 1 1

1 13 1 1

11 1 1

2

10

1 9

9

3

3

2

1 1 1 7

1 1 7

1 1 7

2

2

2

1 21

1 1 16 1 1 1 2 3

1 12

5

2

1 1 2 4

1 1 2

1

1

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 52 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

52 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Fremont village, Waupaca County Fremont town, Waupaca County French Island CDP, La Crosse County Friendship village, Adams County Friendship town, Fond du Lac County Friesland village, Columbia County Frog Creek town, Washburn County Fulton town, Rock County Gale town, Trempealeau County Galesville city, Trempealeau County Garden Valley town, Jackson County Gardner town, Door County Garfield town, Jackson County Garfield town, Polk County Gays Mills village, Crawford County Genesee town, Waukesha County Geneva town, Walworth County Genoa village, Vernon County Genoa town, Vernon County Genoa City village Kenosha County Walworth County Georgetown town, Polk County Georgetown town, Price County Germania town, Shawano County Germantown town, Juneau County Germantown village, Washington County Germantown town, Washington County Gibraltar town, Door County Gibson town, Manitowoc County Gillett city, Oconto County Gillett town, Oconto County Gilman town, Pierce County Gilman village, Taylor County Gilmanton town, Buffalo County Gingles town, Ashland County Glenbeulah village, Sheboygan County Glencoe town, Buffalo County Glendale city, Milwaukee County Glendale town, Monroe County Glen Flora village, Rusk County Glen Haven town, Grant County Glenmore town, Brown County Glenwood town, St. Croix County Glenwood City city, St. Croix County Goetz town, Chippewa County Goodman town, Marinette County Goodrich town, Taylor County Gordon town, Ashland County Gordon town, Douglas County Grafton village, Ozaukee County Grafton town, Ozaukee County Grand Chute town, Outagamie County Grand Rapids town, Wood County Grand View town, Bayfield County Grant town, Clark County Grant town, Dunn County Grant town, Monroe County Grant town, Portage County Grant town, Rusk County Grant town, Shawano County Granton village, Clark County Grantsburg village, Burnett County Grantsburg town, Burnett County Gratiot village, Lafayette County Gratiot town, Lafayette County Green Bay city, Brown County Green Bay town, Brown County Greenbush town, Sheboygan County Greendale village, Milwaukee County Greenfield town, La Crosse County Greenfield city, Milwaukee County Greenfield town, Monroe County 632 561 478 728 220 271 155 867 563 278 386 025 421 107 578 986 472 266 661 1980 510 618 118 744 321 267 142 866 553 239 421 084 423 010 627 126 933 283 787 1970 598 514 … 641 350 301 125 126 255 162 435 875 369 768 623 172 490 305 728 1990 341 251 731 298 891 111 102 240 595 552 149 007 187 679 267 871 100 115 332 502 – 502 1 162 88 174 1 035 5 100 82 1 049 478 628 412 276 189 173 232 144 171 5 784 241 49 204 314 239 418 198 648 168 359 804 3 457 1 346 5 619 2 417 502 329 153 157 583 351 373 164 508 411 98 244 39 726 575 485 5 745 552 14 301 221 1980 303 303 515 281 864 108 105 593 504 543 153 912 171 565 269 500 162 103 283 518 … 518 1 025 74 135 r827 3 560 77 721 443 612 386 304 173 176 198 149 175 4 946 217 40 209 278 225 378 172 629 134 336 689 2 842 1 171 r3 312 2 389 449 330 148 133 485 363 350 166 444 319 110 221 34 445 449 411 5 412 489 r12 309 213 1970 225 222 … 241 788 109 49 834 365 428 139 561 132 383 215 884 1 610 103 175 337 … 337 701 70 121 217 787 117 470 359 510 299 241 128 169 129 147 130 755 183 33 210 233 203 278 152 429 99 218 373 656 871 806 443 320 233 128 92 312 311 289 112 335 230 88 194 061 355 323 075 323 059 181

Square kilometers 3.0 52.0 7.1 2.4 91.0 2.6 185.3 85.7 158.1 3.0 93.8 294.1 93.2 91.0 12.0 85.1 82.9 .8 94.1 3.7 .2 3.5 91.1 139.2 93.7 116.5 89.2 4.5 392.3 91.5 3.5 89.0 87.9 6.1 94.0 101.6 1.7 115.7 15.5 92.4 1.5 91.6 84.8 89.3 6.1 77.5 278.6 94.0 277.1 407.7 7.5 57.9 71.5 59.2 277.5 92.7 96.7 93.0 184.5 87.9 96.0 1.4 7.6 94.4 1.5 140.7 140.6 79.4 122.8 14.5 77.9 29.9 91.5

Square miles 1.2 20.1 2.7 .9 35.1 1.0 71.6 33.1 61.1 1.2 36.2 113.5 36.0 35.1 4.6 32.8 32.0 .3 36.3 1.4 .1 1.4 35.2 53.7 36.2 45.0 34.5 1.7 151.5 35.3 1.3 34.3 33.9 2.3 36.3 39.2 .7 44.7 6.0 35.7 .6 35.4 32.7 34.5 2.4 29.9 107.6 36.3 107.0 157.4 2.9 22.4 27.6 22.8 107.1 35.8 37.3 35.9 71.3 34.0 37.1 .5 2.9 36.5 .6 54.3 54.3 30.7 47.4 5.6 30.1 11.6 35.3

Square kilometers 2.7 49.4 5.5 2.3 44.7 2.6 183.9 83.0 156.7 2.8 93.8 88.8 93.1 85.4 11.9 84.8 78.9 .8 90.6 3.7 .2 3.5 78.6 138.9 93.7 86.1 89.1 4.5 87.7 91.3 3.4 86.6 87.9 6.1 94.0 101.6 1.7 115.7 15.0 92.3 1.5 88.7 84.8 89.0 6.1 77.5 274.2 94.0 270.5 393.1 7.4 53.8 71.1 58.6 270.2 92.7 95.5 92.6 184.5 86.9 95.7 1.4 7.6 92.5 1.5 140.7 113.5 57.3 122.2 14.5 77.9 29.9 91.4

Square miles 1.0 19.1 2.1 .9 17.3 1.0 71.0 32.1 60.5 1.1 36.2 34.3 36.0 33.0 4.6 32.7 30.5 .3 35.0 1.4 .1 1.4 30.3 53.6 36.2 33.2 34.4 1.7 33.9 35.3 1.3 33.4 33.9 2.3 36.3 39.2 .7 44.7 5.8 35.6 .6 34.3 32.7 34.4 2.4 29.9 105.9 36.3 104.4 151.8 2.9 20.8 27.5 22.6 104.3 35.8 36.9 35.7 71.2 33.5 36.9 .5 2.9 35.7 .6 54.3 43.8 22.1 47.2 5.6 30.1 11.5 35.3

Square kilometer 234.1 11.4 814.2 316.5 49.7 104.2 .8 34.5 10.0 456.4 4.1 11.5 4.5 13.0 48.6 70.6 44.0 332.5 7.3 345.1 – 364.9 9.9 1.4 4.4 7.1 153.3 57.3 10.7 15.8 383.2 11.8 8.7 67.5 5.0 4.8 227.1 4.3 939.2 6.1 72.0 6.2 12.5 7.9 168.2 8.3 2.8 4.8 1.1 1.4 1 262.2 69.6 203.8 120.7 1.6 9.6 4.3 3.7 9.1 9.7 9.9 270.7 150.5 9.3 138.0 5.0 849.9 22.5 15.9 1 043.3 20.8 1 117.2 6.1

Square mile 632.0 29.4 2 132.4 808.9 128.3 271.0 2.2 89.3 25.8 1 161.8 10.7 29.9 11.7 33.5 125.7 183.1 113.8 886.7 18.9 912.1 – 912.1 25.7 3.6 11.3 18.5 397.0 151.8 27.7 40.9 002.3 30.7 22.5 179.1 12.9 12.6 551.4 11.2 429.0 15.8 180.0 16.0 32.3 20.3 427.5 21.4 7.2 12.5 2.9 3.6 220.7 180.0 526.9 312.9 4.0 24.9 11.2 9.7 23.5 25.3 25.6 758.0 394.5 24.1 345.0 13.1 202.4 58.5 41.2 701.4 53.7 904.6 15.8

Square kilometer 126.3 5.1 314.7 129.6 19.9 42.7 .6 14.9 3.8 197.1 1.6 11.3 2.0 8.0 22.4 22.1 26.6 143.8 3.7 135.7 – 143.4 14.8 .6 1.9 12.0 57.2 18.2 12.0 5.2 184.7 4.8 3.1 31.0 1.8 2.3 84.7 1.5 385.6 2.6 32.7 2.3 3.7 2.7 68.5 2.6 2.4 1.8 1.3 2.0 467.2 25.0 79.0 41.2 1.9 3.5 1.6 1.7 3.2 4.0 3.9 117.1 66.8 4.4 65.3 1.7 350.0 10.0 4.0 396.2 7.1 478.3 2.4

Square mile 341.0 13.1 824.3 331.1 51.5 111.0 1.4 38.6 9.8 501.8 4.1 29.4 5.2 20.6 58.0 57.2 68.9 383.3 9.5 358.6 – 358.6 38.3 1.6 4.8 31.2 148.3 48.2 30.9 13.5 483.1 12.3 8.1 82.2 4.8 5.9 205.7 3.8 997.2 6.8 81.7 5.9 9.6 6.9 174.2 6.6 6.1 4.6 3.4 5.3 1 192.1 64.7 204.3 106.9 4.8 9.2 4.1 4.4 8.2 10.5 10.1 328.0 175.2 11.5 163.3 4.5 907.0 26.0 10.3 1 025.9 18.3 1 243.6 6.3

4 2 2 1 1 1 1 5 3

4 2 2 1 1 1 1 5 3

1

1

2 2 1 1

1

1

1

3 3

1 2

1 2

1 277 – 1 277 780 195 410 615 658 258 939 445 303 026 762 412 469 492 386 502 088 564 108 548 057 700 026 640 758 454 301 553 340 745 490 071 419 890 412 346 673 847 946 379 144 860 207 709 466 292 943 128 617 403 556

1 202 … 1 202 746 166 392 r638 10 729 267 742 1 416 1 356 1 059 914 436 498 545 423 558 13 882 558 83 596 1 046 715 950 607 803 408 333 627 8 381 3 588 r9 529 7 319 440 882 443 312 1 593 998 976 399 1 153 677 280 706 87 899 1 106 1 665 16 928 1 537 r31 353 536

1 085 … 1 085 526 183 389 215 974 416 590 323 288 936 842 328 546 456 496 515 426 594 69 679 110 764 822 613 750 373 312 419 998 127 089 147 370 736 400 218 195 931 912 288 930 501 249 797 809 958 537 089 278 424 479

13 1 1 1

6 1 1

1

1

14

13

3

2

1 1

1

9 3 14 7

5 3 7 5

1 1 1

3

1

1

1

96 1 1 15 1 33

87 1 15 1 24

27 4 7

2 2 2

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 53 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 53

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Greenfield town, Sauk County Green Grove town, Clark County Green Lake city, Green Lake County Green Lake town, Green Lake County Green Valley town, Marathon County Green Valley town, Shawano County Greenville town, Outagamie County Greenwood city, Clark County Greenwood town, Taylor County Greenwood town, Vernon County Gresham village, Shawano County Grover town, Marinette County Grover town, Taylor County Grow town, Rusk County Guenther town, Marathon County Gull Lake town, Washburn County Gurney town, Iron County Hackett town, Price County Hale town, Trempealeau County Hales Corners village, Milwaukee County Hallie town, Chippewa County Halsey town, Marathon County Hamburg town, Marathon County Hamburg town, Vernon County Hamilton town, La Crosse County Hammel town, Taylor County Hammond village, St. Croix County Hammond town, St. Croix County Hampden town, Columbia County Hancock village, Waushara County Hancock town, Waushara County Haney town, Crawford County Hansen town, Wood County Harding town, Lincoln County Harmony town, Price County Harmony town, Rock County Harmony town, Vernon County Harris town, Marquette County Harrison town, Calumet County Harrison town, Grant County Harrison town, Lincoln County Harrison town, Marathon County Harrison town, Waupaca County Hartford city Dodge County Washington County Hartford town, Washington County Hartland town, Pierce County Hartland town, Shawano County Hartland village, Waukesha County Hatley village, Marathon County Haugen village, Barron County Hawkins village, Rusk County Hawkins town, Rusk County Hawthorne town, Douglas County Hay River town, Dunn County Hayward city, Sawyer County Hayward town, Sawyer County Hazel Green village Grant County Lafayette County Hazel Green town, Grant County Hazelhurst town, Oneida County Hebron town, Jefferson County Helvetia town, Waupaca County Hendren town, Clark County Henrietta town, Richland County Herman town, Dodge County Herman town, Shawano County Herman town, Sheboygan County Hewett town, Clark County Hewitt town, Marathon County 758 628 1 064 1 335 396 984 3 806 969 634 574 515 1 670 214 450 258 148 143 214 971 7 623 4 531 512 768 712 1 633 633 1 097 819 566 382 467 384 698 283 203 2 138 551 715 3 195 544 660 383 432 8 188 9 8 179 3 243 766 764 6 906 295 305 375 163 1 049 510 1 897 3 017 1 171 1 171 – 1 108 927 975 587 542 617 1 127 739 1 820 314 508 1980 719 678 208 307 355 054 310 124 705 546 1970 741 663 109 162 379 984 675 036 635 491 1990 303 217 622 938 259 389 1 274 440 254 196 243 652 171 179 128 177 75 142 355 3 207 1 616 167 259 269 585 274 406 271 199 232 341 155 238 208 121 717 218 370 1 155 178 713 166 328 3 132 4 3 128 1 154 286 257 2 428 112 131 175 108 422 186 961 1 642 449 449 – 281 1 013 361 379 232 276 352 287 557 181 201 1980 266 221 589 832 227 362 995 476 225 212 221 613 162 171 108 145 66 132 343 2 537 1 475 169 237 250 487 281 367 251 200 205 293 149 228 233 118 609 207 355 1 230 184 662 144 340 r2 655 … r2 655 r1 052 283 253 1 912 109 110 165 97 327 174 802 1 330 468 465 3 281 928 364 327 219 232 336 275 564 158 184 1970 237 200 426 786 192 321 676 380 168 166 153 479 122 136 89 80 48 98 311 2 237 886 148 207 209 372 213 267 200 182 168 236 124 187 96 88 361 183 220 947 133 544 124 194 2 084 … 2 084 696 225 225 802 102 84 142 68 221 136 586 745 305 305 … 235 465 286 195 188 214 303 231 459 98 140

Square kilometers 76.9 94.5 4.0 125.9 91.1 92.8 92.8 6.8 140.7 92.7 3.2 190.0 184.9 91.7 89.3 93.8 96.0 183.7 180.6 8.3 57.4 85.8 91.6 92.8 133.8 92.5 3.1 88.2 92.4 3.0 87.4 84.7 87.7 188.6 92.2 68.5 111.1 80.0 159.2 93.6 187.4 95.0 95.7 12.7 1.4 11.3 83.5 93.3 91.3 8.2 2.2 1.3 5.7 118.6 119.6 93.5 7.5 166.5 3.1 3.0 .1 91.3 91.4 75.0 93.8 92.9 93.1 94.3 91.7 88.8 92.7 112.4

Square miles 29.7 36.5 1.5 48.6 35.2 35.8 35.8 2.6 54.3 35.8 1.2 73.3 71.4 35.4 34.5 36.2 37.1 70.9 69.7 3.2 22.1 33.1 35.4 35.8 51.7 35.7 1.2 34.0 35.7 1.2 33.7 32.7 33.9 72.8 35.6 26.5 42.9 30.9 61.5 36.1 72.4 36.7 36.9 4.9 .5 4.4 32.3 36.0 35.3 3.2 .9 .5 2.2 45.8 46.2 36.1 2.9 64.3 1.2 1.1 – 35.3 35.3 28.9 36.2 35.9 35.9 36.4 35.4 34.3 35.8 43.4

Square kilometers 76.9 94.5 3.4 122.4 74.9 92.5 92.7 6.7 140.6 92.7 2.9 189.4 183.0 91.7 89.2 90.8 96.0 180.1 180.5 8.3 56.1 85.8 91.6 92.8 131.1 91.9 3.1 87.8 92.4 2.9 86.6 84.6 87.7 186.8 90.5 68.4 111.1 79.2 92.1 93.6 179.9 94.9 95.5 12.5 1.4 11.1 81.6 93.3 90.9 8.2 2.2 1.3 5.7 118.2 118.1 93.5 6.8 149.5 3.1 3.0 .1 91.3 81.3 74.7 93.1 92.8 93.1 94.3 91.1 88.6 92.6 112.4

Square miles 29.7 36.5 1.3 47.3 28.9 35.7 35.8 2.6 54.3 35.8 1.1 73.1 70.7 35.4 34.4 35.1 37.1 69.5 69.7 3.2 21.7 33.1 35.4 35.8 50.6 35.5 1.2 33.9 35.7 1.1 33.4 32.7 33.9 72.1 35.0 26.4 42.9 30.6 35.6 36.1 69.5 36.7 36.9 4.8 .5 4.3 31.5 36.0 35.1 3.1 .9 .5 2.2 45.6 45.6 36.1 2.6 57.7 1.2 1.1 – 35.3 31.4 28.8 35.9 35.8 35.9 36.4 35.2 34.2 35.8 43.4

Square kilometer 9.9 6.6 312.9 10.9 5.3 10.6 41.1 144.6 4.5 6.2 177.6 8.8 1.2 4.9 2.9 1.6 1.5 1.2 5.4 918.4 80.8 6.0 8.4 7.7 12.5 6.9 353.9 9.3 6.1 131.7 5.4 4.5 8.0 1.5 2.2 31.3 5.0 9.0 34.7 5.8 3.7 4.0 4.5 655.0 6.4 736.8 39.7 8.2 8.4 842.2 134.1 234.6 65.8 1.4 8.9 5.5 279.0 20.2 377.7 390.3 – 12.1 11.4 13.1 6.3 5.8 6.6 12.0 8.1 20.5 3.4 4.5

Square mile 25.5 17.2 818.5 28.2 13.7 27.6 106.3 372.7 11.7 16.0 468.2 22.8 3.0 12.7 7.5 4.2 3.9 3.1 13.9 2 382.2 208.8 15.5 21.7 19.9 32.3 17.8 914.2 24.2 15.9 347.3 14.0 11.7 20.6 3.9 5.8 81.0 12.8 23.4 89.7 15.1 9.5 10.4 11.7 1 705.8 18.0 1 902.1 103.0 21.3 21.8 2 227.7 327.8 610.0 170.5 3.6 23.0 14.1 729.6 52.3 975.8 1 064.5 – 31.4 29.5 33.9 16.4 15.1 17.2 31.0 21.0 53.2 8.8 11.7

Square kilometer 3.9 2.3 182.9 7.7 3.5 4.2 13.7 65.7 1.8 2.1 83.8 3.4 .9 2.0 1.4 1.9 .8 .8 2.0 386.4 28.8 1.9 2.8 2.9 4.5 3.0 131.0 3.1 2.2 80.0 3.9 1.8 2.7 1.1 1.3 10.5 2.0 4.7 12.5 1.9 4.0 1.7 3.4 250.6 2.9 281.8 14.1 3.1 2.8 296.1 50.9 100.8 30.7 .9 3.6 2.0 141.3 11.0 144.8 149.7 – 3.1 12.5 4.8 4.1 2.5 3.0 3.7 3.2 6.3 2.0 1.8

Square mile 10.2 5.9 478.5 19.8 9.0 10.9 35.6 169.2 4.7 5.5 220.9 8.9 2.4 5.1 3.7 5.0 2.0 2.0 5.1 1 002.2 74.5 5.0 7.3 7.5 11.6 7.7 338.3 8.0 5.6 210.9 10.2 4.7 7.0 2.9 3.5 27.2 5.1 12.1 32.4 4.9 10.3 4.5 8.9 652.5 8.0 727.4 36.6 7.9 7.3 783.2 124.4 262.0 79.5 2.4 9.3 5.2 369.6 28.5 374.2 408.2 – 8.0 32.3 12.5 10.6 6.5 7.7 9.7 8.2 16.3 5.1 4.6

1 1 1 3 1

1 1 2 1

534 1 709 229 560 297 141 153 179 983 7 110 4 275 548 749 774 1 472 562 991 822 650 419 426 404 705 261 268 2 090 636 657 3 541 600 693 354 450 r7 159 … r7 159 r3 269 821 872 5 559 300 251 407 184 902 433 1 698 2 331 1 282 1 270 12 1 228 780 1 104 568 570 606 1 131 834 2 095 301 496

448 1 575 210 548 302 111 135 190 1 041 7 771 3 568 576 760 754 1 229 509 768 764 704 404 346 387 712 174 235 1 364 712 429 3 260 537 607 422 379 6 499 … 6 499 2 368 771 820 2 763 315 246 385 230 677 419 1 457 1 690 982 982 … 1 237 403 973 401 526 578 1 215 759 2 042 170 486

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 54 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

54 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Hewitt village, Wood County Hickory Grove town, Grant County Highland town, Douglas County Highland village, Iowa County Highland town, Iowa County Hilbert village, Calumet County Hiles town, Forest County Hiles town, Wood County Hill town, Price County Hillsboro city, Vernon County Hillsboro town, Vernon County Hixon town, Clark County Hixton village, Jackson County Hixton town, Jackson County Hoard town, Clark County Hobart town, Brown County Holland town, Brown County Holland town, La Crosse County Holland town, Sheboygan County Hollandale village, Iowa County Holmen village, La Crosse County Holton town, Marathon County Holway town, Taylor County Homestead town, Florence County Honey Creek town, Sauk County Horicon city, Dodge County Hortonia town, Outagamie County Hortonville village, Outagamie County How town, Oconto County Howard village, Brown County Howard town, Chippewa County Howards Grove village, Sheboygan County Hubbard town, Dodge County Hubbard town, Rusk County Hudson city, St. Croix County Hudson town, St. Croix County Hughes town, Bayfield County Hull town, Marathon County Hull town, Portage County Humboldt town, Brown County Hunter town, Sawyer County Hurley city, Iron County Hustisford village, Dodge County Hustisford town, Dodge County Hustler village, Juneau County Hutchins town, Shawano County Independence city, Trempealeau County Ingram village, Rusk County Iola village, Waupaca County Iola town, Waupaca County Iron Ridge village, Dodge County Iron River town, Bayfield County Ironton village, Sauk County Ironton town, Sauk County Irving town, Jackson County Isabelle town, Pierce County Ithaca town, Richland County Ixonia town, Jefferson County Jackson town, Adams County Jackson town, Burnett County Jackson village, Washington County Jackson town, Washington County Jacksonport town, Door County Jacobs town, Ashland County Jamestown town, Grant County Janesville city, Rock County Janesville town, Rock County Jefferson town, Green County Jefferson city, Jefferson County Jefferson town, Jefferson County 595 409 207 799 756 1 211 312 144 360 1 288 642 673 345 652 805 284 237 172 567 256 1980 470 423 190 860 844 1 176 327 194 349 1 263 763 810 364 646 881 765 268 776 504 271 1970 … 444 157 785 923 896 283 189 293 1 231 617 791 300 558 919 2 599 1 211 976 2 287 256 1 081 924 837 258 793 3 356 804 1 524 565 4 911 643 998 1 301 112 5 049 925 174 1 080 3 124 1 101 381 2 418 789 1 034 190 409 1 036 109 900 549 480 716 195 658 489 168 750 2 324 497 128 561 2 844 622 928 1 973 46 426 2 700 1 123 5 429 3 082 1990 192 138 287 320 285 475 662 93 194 591 266 249 172 253 187 1 339 368 734 1 022 116 1 160 307 223 316 273 1 478 331 710 252 3 515 202 813 662 116 2 634 1 144 380 260 1 917 396 937 1 009 386 457 68 213 463 46 550 426 317 928 101 201 226 81 234 939 836 904 981 1 012 693 488 711 21 153 965 389 2 472 735 1980 145 152 253 307 283 433 652 93 170 556 265 271 167 227 194 1 043 338 602 956 104 801 282 231 250 263 1 325 284 676 216 2 575 193 601 654 98 2 055 596 311 371 1 632 359 846 1 049 362 443 67 198 521 44 497 398 269 857 99 203 208 66 250 907 768 736 700 936 556 458 709 19 292 934 392 2 189 740 1970 … 120 167 285 239 288 357 73 125 483 205 225 113 176 172 594 268 297 846 94 367 249 199 153 246 1 078 217 461 174 1 275 160 299 508 47 1 613 256 150 264 842 267 263 912 299 323 61 131 415 42 352 277 154 587 79 184 165 44 200 623 411 303 169 719 435 382 502 14 572 779 329 1 779 660

Square kilometers 2.1 94.2 202.2 2.8 168.1 2.6 365.1 91.5 92.6 3.1 92.4 87.7 2.1 91.1 91.4 86.6 93.2 119.6 108.6 1.8 4.8 89.7 94.2 140.7 123.2 8.5 50.8 7.0 90.8 59.4 92.7 5.4 86.5 115.7 12.7 70.5 138.5 87.1 85.3 62.0 196.8 8.6 2.0 91.0 1.2 87.3 2.7 2.6 3.9 89.7 1.8 90.3 .9 91.1 115.0 40.5 93.3 94.6 92.7 90.5 4.3 90.3 151.0 133.1 84.7 62.4 76.1 100.4 11.4 114.2

Square miles .8 36.4 78.1 1.1 64.9 1.0 141.0 35.3 35.7 1.2 35.7 33.9 .8 35.2 35.3 33.4 36.0 46.2 41.9 .7 1.9 34.6 36.4 54.3 47.6 3.3 19.6 2.7 35.1 22.9 35.8 2.1 33.4 44.7 4.9 27.2 53.5 33.6 32.9 24.0 76.0 3.3 .8 35.1 .5 33.7 1.0 1.0 1.5 34.6 .7 34.9 .3 35.2 44.4 15.7 36.0 36.5 35.8 34.9 1.7 34.9 58.3 51.4 32.7 24.1 29.4 38.8 4.4 44.1

Square kilometers 2.1 94.2 198.1 2.8 167.6 2.6 340.5 90.2 90.8 3.1 92.3 86.7 2.1 91.0 91.4 86.3 93.2 111.5 108.6 1.8 4.8 89.7 94.2 139.5 123.1 8.4 50.3 6.8 90.5 46.5 92.7 5.4 82.3 114.2 10.3 69.2 134.7 86.9 76.0 62.0 135.0 8.2 1.8 87.7 1.2 87.0 2.6 2.6 3.5 87.6 1.8 81.4 .9 91.1 113.7 27.0 93.3 93.1 90.2 75.5 4.3 90.1 75.2 132.3 77.9 60.9 74.9 100.4 10.9 113.0

Square miles .8 36.4 76.5 1.1 64.7 1.0 131.5 34.8 35.1 1.2 35.6 33.5 .8 35.1 35.3 33.3 36.0 43.1 41.9 .7 1.9 34.6 36.4 53.9 47.5 3.3 19.4 2.6 34.9 18.0 35.8 2.1 31.8 44.1 4.0 26.7 52.0 33.5 29.4 24.0 52.1 3.1 .7 33.9 .5 33.6 1.0 1.0 1.4 33.8 .7 31.4 .3 35.2 43.9 10.4 36.0 35.9 34.8 29.1 1.7 34.8 29.0 51.1 30.1 23.5 28.9 38.8 4.2 43.6

Square kilometer 283.3 4.3 1.0 285.4 4.5 465.8 .9 1.6 4.0 415.5 7.0 7.8 164.3 7.2 8.8 49.6 13.3 19.5 23.6 142.2 670.8 10.8 8.3 2.4 5.9 461.1 17.6 298.4 6.2 212.3 6.7 431.3 16.9 1.9 619.2 53.4 2.5 9.6 73.1 21.5 4.1 217.3 543.9 13.8 130.0 6.0 400.4 35.0 321.4 7.3 492.8 11.1 222.2 6.4 5.0 7.3 6.8 30.0 7.1 6.1 578.1 35.2 9.2 6.7 27.9 856.0 42.7 11.3 557.6 23.7

Square mile 743.8 11.2 2.7 726.4 11.7 1 211.0 2.4 4.1 10.3 1 073.3 18.0 20.1 431.3 18.6 22.8 128.6 34.4 50.4 61.3 365.7 1 694.7 28.1 21.4 6.3 15.3 1 173.6 45.5 780.4 16.2 548.6 17.5 1 109.0 43.7 4.9 1 594.5 138.3 6.4 25.0 189.1 55.6 10.7 574.8 1 398.6 35.7 312.0 15.6 1 041.0 91.0 803.6 18.8 1 267.1 28.7 666.7 16.6 12.9 18.8 17.6 77.7 18.4 15.7 1 462.4 91.1 23.8 17.3 72.3 2 218.4 110.7 29.1 1 447.1 61.3

Square kilometer 91.4 1.5 1.4 114.3 1.7 182.7 1.9 1.0 2.1 190.6 2.9 2.9 81.9 2.8 2.0 15.5 3.9 6.6 9.4 64.4 241.7 3.4 2.4 2.3 2.2 176.0 6.6 104.4 2.8 75.6 2.2 150.6 8.0 1.0 255.7 16.5 2.8 3.0 25.2 6.4 6.9 123.0 214.4 5.2 56.7 2.4 178.1 17.7 157.1 4.9 176.1 11.4 112.2 2.2 2.0 3.0 2.5 10.1 9.3 12.0 228.1 11.2 9.2 3.7 9.1 347.3 12.9 3.9 226.8 6.5

Square mile 240.0 3.8 3.8 290.9 4.4 475.0 5.0 2.7 5.5 492.5 7.5 7.4 215.0 7.2 5.3 40.2 10.2 17.0 24.4 165.7 610.5 8.9 6.1 5.9 5.7 447.9 17.1 273.1 7.2 195.3 5.6 387.1 20.8 2.6 658.5 42.8 7.3 7.8 65.2 16.5 18.0 325.5 551.4 13.5 136.0 6.3 463.0 46.0 392.9 12.6 452.9 29.6 336.7 5.7 5.1 7.8 6.5 26.2 24.0 31.1 577.1 29.1 23.9 9.5 23.6 900.1 33.4 10.0 588.6 16.9

4 1 2 2

3 1 1 2

3 220 971 779 337 725 3 873 883 2 029 564 9 874 625 2 329 1 390 216 6 378 3 692 334 836 5 559 1 334 557 1 782 979 1 209 156 523 1 041 91 1 125 637 887 901 200 585 565 196 632 2 789 641 457 2 486 3 172 689 885 2 175 52 133 3 198 1 130 6 078 2 673

2 411 945 903 272 774 3 584 869 2 016 592 8 240 660 1 838 1 508 185 5 434 2 012 290 1 402 5 122 1 281 594 2 015 874 1 262 170 467 1 180 61 957 702 766 991 206 643 618 190 702 2 905 640 331 1 817 3 180 707 907 2 369 51 071 3 068 1 204 5 647 2 891

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 55 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 55

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Jefferson town, Monroe County Jefferson town, Vernon County Johnson town, Marathon County Johnson Creek village, Jefferson County Johnstown town, Polk County Johnstown town, Rock County Jordan town, Green County Jump River town, Taylor County Junction City village, Portage County Juneau city, Dodge County Kaukauna city, Outagamie County Kaukauna town, Outagamie County Kekoskee village, Dodge County Kellnersville village, Manitowoc County Kelly town, Bayfield County Kendall town, Lafayette County Kendall village, Monroe County Kennan village, Price County Kennan town, Price County Kenosha city, Kenosha County Keshena CDP, Menominee County Kewaskum village Fond du Lac County Washington County Kewaskum town, Washington County Kewaunee city, Kewaunee County Keystone town, Bayfield County Kickapoo town, Vernon County Kiel city Calumet County Manitowoc County Kildare town, Juneau County Kimball town, Iron County Kimberly village, Outagamie County King town, Lincoln County Kingston village, Green Lake County Kingston town, Green Lake County Kingston town, Juneau County Kinnickinnic town, St. Croix County Knapp village, Dunn County Knapp town, Jackson County Knight town, Iron County Knowlton town, Marathon County Knox town, Price County Kohler village, Sheboygan County Komensky town, Jackson County Koshkonong town, Jefferson County Kossuth town, Manitowoc County Kronenwetter town, Marathon County Lac du Flambeau CDP, Vilas County Lac du Flambeau town, Vilas County Lac La Belle village, Waukesha County La Crosse city, La Crosse County Ladysmith city, Rusk County La Farge village, Vernon County Lafayette town, Chippewa County Lafayette town, Monroe County Lafayette town, Walworth County La Follette town, Burnett County La Grange town, Monroe County La Grange town, Walworth County Lake town, Marinette County Lake town, Price County Lake Delton village, Sauk County Lake Geneva city, Walworth County Lake Holcombe town, Chippewa County Lakeland town, Barron County Lake Mills city, Jefferson County Lake Mills town, Jefferson County Lake Nebagamon village, Douglas County Lake Ripley CDP, Jefferson County Lakeside town, Douglas County 815 915 923 259 410 850 545 330 502 157 982 939 188 350 383 363 453 169 330 352 685 1980 710 919 933 136 401 844 585 365 523 045 310 998 224 369 354 432 486 194 387 685 … 1970 756 949 936 790 328 914 555 355 396 2 043 11 308 961 233 … 336 435 468 167 426 78 805 … 1 926 (NA) 1 926 1 166 2 901 314 455 2 848 298 2 550 335 468 6 131 377 343 556 92 755 369 155 324 742 539 1 738 283 2 671 1 966 2 595 … 1 669 227 50 286 3 674 748 4 189 224 979 269 2 224 1 311 741 1 473 1 059 4 890 648 580 3 556 1 472 523 … 514 1990 225 367 289 473 350 294 198 155 197 699 4 454 280 68 146 163 111 200 71 173 31 197 188 944 1 943 366 1 213 150 197 1 181 130 1 051 305 225 2 069 580 143 307 36 364 182 146 211 590 240 688 96 1 269 703 1 613 656 2 644 97 20 897 1 671 358 1 793 98 485 409 536 1 414 704 810 1 091 3 184 587 512 1 735 663 717 722 255 1980 202 334 282 439 321 284 186 149 199 660 4 009 266 76 131 141 119 211 73 178 29 411 … r806 r4 802 372 1 163 145 194 1 134 131 1 003 r244 224 1 934 634 140 245 37 336 170 124 221 449 270 569 112 1 174 676 1 620 … 2 322 90 18 757 1 494 351 1 565 67 372 370 556 1 172 663 773 608 r2 824 548 410 1 557 621 646 … 244 1970 182 296 246 261 243 245 153 127 135 544 3 271 200 72 … 118 96 188 64 138 24 872 … 586 (NA) 586 321 1 024 101 163 915 85 830 165 162 1 552 368 131 199 31 205 129 88 194 308 212 636 67 980 526 786 … 1 497 73 16 573 1 301 312 1 153 58 276 219 383 915 350 715 441 1 972 368 291 1 349 497 454 … 190

Square kilometers 90.6 121.8 90.6 3.1 96.1 93.8 93.3 93.2 3.1 3.6 13.2 47.4 .6 1.4 95.0 110.3 1.9 5.1 181.2 65.0 1.6 3.8 .2 3.6 59.3 10.6 93.5 98.1 5.3 .9 4.4 73.1 96.1 4.8 95.6 4.0 76.2 147.9 91.9 4.1 185.3 246.3 88.5 124.6 14.2 154.1 114.0 100.8 136.0 20.1 330.8 1.3 52.3 10.5 2.7 101.7 91.5 90.0 101.2 83.0 92.5 154.4 238.9 12.3 14.2 79.4 91.5 8.3 86.1 37.2 6.6 103.3

Square miles 35.0 47.0 35.0 1.2 37.1 36.2 36.0 36.0 1.2 1.4 5.1 18.3 .2 .5 36.7 42.6 .7 2.0 70.0 25.1 .6 1.5 .1 1.4 22.9 4.1 36.1 37.9 2.0 .3 1.7 28.2 37.1 1.9 36.9 1.5 29.4 57.1 35.5 1.6 71.5 95.1 34.2 48.1 5.5 59.5 44.0 38.9 52.5 7.7 127.7 .5 20.2 4.0 1.0 39.3 35.3 34.7 39.1 32.1 35.7 59.6 92.2 4.7 5.5 30.7 35.3 3.2 33.2 14.3 2.5 39.9

Square kilometers 90.6 121.6 90.6 3.1 92.6 93.8 93.3 93.2 3.1 3.6 12.2 46.6 .6 1.4 95.0 110.3 1.9 5.1 181.1 55.8 1.6 3.8 .2 3.6 59.2 8.7 92.8 98.1 5.0 .9 4.1 71.9 96.1 4.4 87.7 3.5 74.7 141.4 91.9 4.1 179.0 243.7 75.4 124.5 13.9 152.7 111.5 100.8 135.1 13.0 259.8 1.3 47.5 9.5 2.7 90.0 91.4 90.0 95.9 78.9 88.9 144.6 229.6 11.0 12.1 69.7 85.6 7.3 80.6 32.8 4.9 103.3

Square miles 35.0 46.9 35.0 1.2 35.8 36.2 36.0 36.0 1.2 1.4 4.7 18.0 .2 .5 36.7 42.6 .7 2.0 69.9 21.5 .6 1.5 .1 1.4 22.9 3.3 35.8 37.9 1.9 .3 1.6 27.8 37.1 1.7 33.9 1.4 28.8 54.6 35.5 1.6 69.1 94.1 29.1 48.1 5.4 58.9 43.1 38.9 52.1 5.0 100.3 .5 18.4 3.7 1.0 34.7 35.3 34.7 37.0 30.5 34.3 55.8 88.6 4.3 4.7 26.9 33.0 2.8 31.1 12.7 1.9 39.9

Square kilometer 9.0 7.5 10.2 406.1 4.4 9.1 5.8 3.5 161.9 599.2 982.1 20.2 313.3 250.0 4.0 3.3 238.4 33.1 1.8 1 440.0 428.1 661.8 5.0 698.3 19.2 316.1 3.4 4.8 582.0 417.8 618.0 6.8 5.3 1 228.6 7.7 98.9 10.4 .4 12.4 102.2 1.4 1.1 18.8 3.4 130.7 1.9 26.8 19.4 35.9 109.5 9.4 198.5 1 073.7 414.5 283.7 49.4 3.3 14.2 4.3 19.1 18.5 6.8 5.8 133.6 494.1 13.2 9.2 567.5 19.7 27.4 248.6 5.5

Square mile 23.3 19.5 26.4 049.2 11.5 23.5 15.1 9.2 418.3 540.7 549.4 52.2 940.0 700.0 10.4 8.5 647.1 84.5 4.7 737.3 141.7

Square kilometer 2.5 3.0 3.2 152.6 3.8 3.1 2.1 1.7 63.5 194.2 365.1 6.0 113.3 104.3 1.7 1.0 105.3 13.9 1.0 559.1 117.5 248.4 5.0 261.9 6.2 139.4 1.6 2.0 236.2 144.4 256.3 4.2 2.3 470.2 6.6 40.9 4.1 .3 4.0 44.4 .8 .9 7.8 1.9 49.5 .6 11.4 7.0 11.9 50.5 10.2 74.6 439.9 175.9 132.6 19.9 1.1 5.4 4.3 6.8 15.9 4.9 3.5 99.2 263.1 8.4 6.0 237.7 8.2 21.9 147.3 2.5

Square mile 6.4 7.8 8.3 394.2 9.8 8.1 5.5 4.3 164.2 499.3 947.7 15.6 340.0 292.0 4.4 2.6 285.7 35.5 2.5 1 451.0 313.3 629.3 10.0 673.6 16.0 367.6 4.2 5.2 621.6 433.3 656.9 11.0 6.1 1 217.1 17.1 102.1 10.7 .7 10.3 113.8 2.1 2.2 20.3 5.0 127.4 1.6 29.4 18.1 31.0 131.2 26.4 194.0 1 135.7 451.6 358.0 51.7 2.8 14.0 11.1 17.6 41.2 12.6 9.1 253.7 677.4 21.8 15.5 619.6 21.3 56.5 380.0 6.4

1

1

1

2 11

2 11

1 2

80

77

3 1

2 515 1 2 514 1 139 2 750 320 472 2 910 376 2 534 491 513 5 406 675 346 776 57 1 139 419 257 265 1 414 420 1 817 292 2 984 1 951 4 850 1 423 2 433 258 51 003 3 938 766 4 448 298 1 276 416 1 507 1 643 989 1 333 1 470 5 979 920 789 4 143 1 584 900 1 218 569

r2 394 r13 2 381 1 243 2 801 344 523 3 083 429 2 654 r465 499 5 881 597 328 708 64 1 051 419 201 294 1 153 542 1 651 449 2 979 2 097 5 012 … 2 190 289 48 347 3 826 746 4 181 256 1 024 388 1 728 1 661 915 1 369 1 158 r5 612 791 672 3 670 1 515 780 … 572

1 676.7 10.0 1 795.7 49.7 833.3 8.9 12.5 1 531.6 1 253.3 1 583.8 17.7 13.8 3 180.0 19.9 247.1 26.9 1.0 32.1 261.9 3.7 2.8 48.6 8.7 336.5 5.0 69.2 50.2 93.1 284.6 24.3 516.0 2 771.9 1 064.3 766.0 128.2 8.4 36.8 11.2 49.4 47.9 17.7 15.0 341.9 1 272.1 34.2 23.9 1 479.6 50.9 70.9 641.1 14.3

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 56 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

56 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Lake Tomahawk town, Oneida County Laketown town, Polk County Lake Wazeecha CDP, Wood County Lake Wisconsin CDP Columbia County Sauk County Lake Wissota CDP, Chippewa County Lakewood town, Oconto County Lamartine town, Fond du Lac County Lamont town, Lafayette County Lanark town, Portage County Lancaster city, Grant County Land O’Lakes town, Vilas County Langlade town, Langlade County Lannon village, Waukesha County Laona town, Forest County La Pointe town, Ashland County La Prairie town, Rock County Larrabee town, Waupaca County La Valle village, Sauk County La Valle town, Sauk County Lawrence town, Brown County Lawrence town, Rusk County Lebanon town, Dodge County Lebanon town, Waupaca County Leeds town, Columbia County Lemonweir town, Juneau County Lena village, Oconto County Lena town, Oconto County Lenroot town, Sawyer County Leola town, Adams County Leon town, Monroe County Leon town, Waushara County Leroy town, Dodge County Lessor town, Shawano County Levis town, Clark County Lewiston town, Columbia County Liberty town, Grant County Liberty town, Manitowoc County Liberty town, Outagamie County Liberty town, Vernon County Liberty Grove town, Door County Lima town, Grant County Lima town, Pepin County Lima town, Rock County Lima town, Sheboygan County Lime Ridge village, Sauk County Lincoln Lincoln Lincoln Lincoln Lincoln Lincoln Lincoln Lincoln Lincoln Lincoln town, town, town, town, town, town, town, town, town, town, Adams County Bayfield County Buffalo County Burnett County Eau Claire County Forest County Kewaunee County Monroe County Polk County Trempealeau County 851 921 2 278 2 268 2 178 90 2 175 607 1 607 254 1 154 4 192 839 415 924 1 387 147 943 1 388 446 1 005 1 363 240 1 630 1 290 809 1 707 590 790 966 217 746 992 1 025 892 492 1 123 569 1 218 702 189 1 506 691 649 1 285 2 715 152 318 294 250 228 1 002 630 996 765 1 835 894 2 310 1 429 1 157 429 773 796 2 062 1 035 862 8 277 1980 738 909 2 176 … … … 1 788 516 1 749 341 1 043 4 076 803 413 987 1 474 156 1 099 1 254 412 929 1 431 240 1 518 1 168 845 r1 317 585 851 926 237 751 844 1 110 955 433 1 122 609 1 170 609 171 1 313 750 631 1 179 2 809 191 289 280 272 215 1 012 577 967 644 1 683 935 2 262 1 269 1 038 395 828 816 r2 064 1 082 903 8 352 1970 434 725 1 285 … … … 1 419 469 1 416 387 578 3 756 617 342 1 056 1 395 159 1 086 1 295 411 693 1 622 167 1 278 906 869 970 569 877 577 184 641 651 1 146 911 337 984 597 1 089 544 231 1 174 667 679 1 063 2 590 203 283 206 297 119 962 350 984 814 1 198 811 1 450 1 232 787 408 961 926 1 910 773 661 4 709 1990 942 420 798 1 652 1 572 80 918 1 177 543 103 471 1 766 1 115 341 368 759 586 325 506 180 783 453 104 562 425 303 713 254 294 871 176 261 811 347 300 271 522 213 442 242 81 1 750 227 215 478 881 69 239 187 106 176 325 813 338 316 1 056 263 1 670 476 553 173 279 312 1 911 363 379 2 728 1980 874 373 711 … … … 678 1 055 533 109 422 1 614 1 031 275 365 675 372 358 428 170 572 409 81 511 360 298 r567 228 282 719 157 240 671 342 292 227 507 199 431 192 76 1 463 242 189 417 816 69 191 150 109 133 314 708 308 275 868 267 1 540 384 496 151 261 285 r1 822 357 359 2 461 1970 514 314 380 … … … 527 614 370 107 239 1 301 660 212 335 534 346 302 380 157 369 343 52 336 229 270 354 177 232 372 113 185 463 310 258 145 385 184 282 144 70 1 136 195 161 299 643 70 122 139 106 82 236 430 273 302 644 179 795 311 391 148 239 253 1 472 225 221 1 237

Square kilometers 101.6 92.6 10.2 56.0 54.3 1.6 11.5 187.6 94.7 51.6 93.4 7.0 246.9 187.8 6.3 278.6 202.0 90.3 87.7 1.1 91.6 51.7 123.6 93.3 93.4 92.7 111.5 2.3 86.5 227.8 96.4 92.6 94.1 96.8 93.6 93.7 142.4 94.5 92.1 79.2 59.7 493.5 94.7 93.0 94.3 94.9 2.6 93.7 92.9 96.5 91.1 152.3 163.0 92.4 90.4 99.4 73.8 96.6 88.9 93.5 2.0 157.1 86.8 87.7 87.5 74.0 83.0

Square miles 39.2 35.8 3.9 21.6 21.0 .6 4.4 72.4 36.6 19.9 36.1 2.7 95.3 72.5 2.4 107.5 78.0 34.9 33.9 .4 35.3 20.0 47.7 36.0 36.1 35.8 43.0 .9 33.4 88.0 37.2 35.8 36.3 37.4 36.1 36.2 55.0 36.5 35.6 30.6 23.1 190.5 36.6 35.9 36.4 36.6 1.0 36.2 35.9 37.2 35.2 58.8 62.9 35.7 34.9 38.4 28.5 37.3 34.3 36.1 .8 60.7 33.5 33.8 33.8 28.6 32.0

Square kilometers 88.9 88.7 9.7 32.8 31.8 1.0 9.8 183.4 94.5 51.6 92.9 7.0 215.1 185.3 6.3 267.8 200.9 90.3 87.1 1.0 88.6 50.0 123.6 92.8 93.4 92.0 111.3 2.3 86.5 211.5 96.4 92.6 93.2 94.7 93.0 93.0 139.9 94.5 91.4 78.9 59.7 138.8 94.7 93.0 94.3 94.8 2.6 93.7 92.0 96.5 90.2 151.1 150.5 92.4 88.3 92.5 73.7 84.6 88.8 93.1 2.0 157.1 86.8 74.3 82.7 73.9 82.9

Square miles 34.3 34.2 3.8 12.7 12.3 .4 3.8 70.8 36.5 19.9 35.9 2.7 83.0 71.5 2.4 103.4 77.6 34.9 33.6 .4 34.2 19.3 47.7 35.8 36.1 35.5 43.0 .9 33.4 81.7 37.2 35.8 36.0 36.6 35.9 35.9 54.0 36.5 35.3 30.5 23.1 53.6 36.5 35.9 36.4 36.6 1.0 36.2 35.5 37.2 34.8 58.3 58.1 35.7 34.1 35.7 28.4 32.7 34.3 35.9 .8 60.7 33.5 28.7 31.9 28.5 32.0

Square kilometer 9.6 10.4 234.8 69.1 68.5 90.0 221.9 3.3 17.0 4.9 12.4 598.9 3.9 2.2 146.7 5.2 .7 10.4 15.9 446.0 11.3 27.3 1.9 17.6 13.8 8.8 15.3 256.5 9.1 4.6 2.3 8.1 10.6 10.8 9.6 5.3 8.0 6.0 13.3 8.9 3.2 10.9 7.3 7.0 13.6 28.6 58.5 3.4 3.2 2.6 2.5 6.6 4.2 10.8 8.7 19.8 12.1 27.3 16.1 12.4 214.5 4.9 9.2 27.8 12.5 11.7 99.8

Square mile 24.8 26.9 599.5 178.6 177.1 225.0 572.4 8.6 44.0 12.8 32.1 1 552.6 10.1 5.8 385.0 13.4 1.9 27.0 41.3 1 115.0 29.4 70.6 5.0 45.5 35.7 22.8 39.7 655.6 23.7 11.8 5.8 20.8 27.6 28.0 24.8 13.7 20.8 15.6 34.5 23.0 8.2 28.1 18.9 18.1 35.3 74.2 152.0 8.8 8.3 6.7 6.6 17.2 10.8 27.9 22.4 51.4 31.5 70.6 41.7 32.2 536.3 12.7 23.8 71.8 32.4 30.2 258.7

Square kilometer 10.6 4.7 82.3 50.4 49.4 80.0 93.7 6.4 5.7 2.0 5.1 252.3 5.2 1.8 58.4 2.8 2.9 3.6 5.8 180.0 8.8 9.1 .8 6.1 4.6 3.3 6.4 110.4 3.4 4.1 1.8 2.8 8.7 3.7 3.2 2.9 3.7 2.3 4.8 3.1 1.4 12.6 2.4 2.3 5.1 9.3 26.5 2.6 2.0 1.1 2.0 2.2 5.4 3.7 3.6 11.4 3.6 19.7 5.4 5.9 86.5 1.8 3.6 25.7 4.4 5.1 32.9

Square mile 27.5 12.3 210.0 130.1 127.8 200.0 241.6 16.6 14.9 5.2 13.1 654.1 13.4 4.8 153.3 7.3 7.6 9.3 15.1 450.0 22.9 23.5 2.2 15.7 11.8 8.5 16.6 282.2 8.8 10.7 4.7 7.3 22.5 9.5 8.4 7.5 9.7 5.8 12.5 7.9 3.5 32.6 6.2 6.0 13.1 24.1 69.0 6.6 5.3 2.8 5.1 5.6 14.0 9.5 9.3 29.6 9.3 51.1 13.9 15.4 216.3 4.6 9.3 66.6 11.4 13.3 85.3

Lincoln town, Vilas County Lincoln town, Wood County Lind town, Waupaca County Linden village, Iowa County Linden town, Iowa County Lindina town, Juneau County Linn town, Walworth County Linwood town, Portage County Lisbon town, Juneau County Lisbon town, Waukesha County

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 57 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 57

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Little Little Little Little Little Little Little Little Little Black town, Taylor County Chute village, Outagamie County Falls town, Monroe County Grant town, Grant County Rice town, Oneida County River town, Oconto County Round Lake CDP, Sawyer County Suamico town, Oconto County Wolf town, Waupaca County 1 195 9 207 1 137 375 196 1 003 871 2 637 1 326 576 566 10 2 093 1 913 228 368 1 542 1 280 641 205 583 661 299 300 1 146 938 1 244 718 129 644 1 022 880 906 1 151 1 387 790 1 432 474 703 157 153 2 579 5 232 616 327 403 1 697 349 191 262 6 442 717 146 649 2 206 791 1 169 774 563 651 32 520 937 2 579 667 1 352 695 926 888 1 159 300 610 690 978 1 606 1980 1 169 7 907 1 228 347 172 940 … 1 969 1 138 642 626 16 1 959 1 855 239 336 1 446 1 391 577 199 508 673 280 326 1 205 976 1 252 882 142 699 997 863 969 1 040 1 468 701 1 342 375 587 185 174 r2 659 3 783 622 337 416 1 433 317 170 616 6 162 746 172 641 2 163 816 1 205 812 590 625 32 547 1 177 3 186 685 1 351 652 948 962 1 271 345 577 715 1 114 1 552 1970 1 133 5 522 1 010 349 99 859 … 1 138 1 089 503 494 9 1 831 1 357 199 213 1 084 1 247 506 190 422 728 275 322 1 254 819 1 126 819 143 577 848 663 761 853 1 295 405 1 198 533 555 220 149 2 143 2 386 650 297 461 1 255 144 171 809 5 746 736 172 563 2 155 725 1 105 777 442 509 33 430 1 258 3 552 608 1 974 586 859 910 1 258 348 493 679 918 1 214 1990 395 3 232 448 117 423 429 249 978 507 252 248 4 833 898 107 174 563 428 288 274 569 244 153 122 426 338 550 215 79 231 501 381 357 460 424 412 566 202 251 264 96 061 915 216 201 162 539 364 047 386 273 86 249 745 288 493 308 338 155 728 354 798 269 564 215 337 291 363 125 610 327 310 604 1980 364 2 536 420 100 396 421 … 723 414 247 243 4 713 806 107 166 486 415 254 261 556 241 143 142 411 311 528 219 77 240 428 392 344 371 411 301 492 167 214 260 102 r989 1 392 201 186 144 421 292 68 996 3 270 259 89 231 701 242 492 293 243 1 141 12 870 385 933 267 549 198 324 272 370 134 439 306 269 543 1970 280 1 435 337 96 156 348 … 425 317 196 194 2 602 645 84 74 318 327 181 146 379 218 110 101 341 226 411 195 79 169 350 308 258 266 305 143 378 218 177 171 74 652 732 171 132 141 331 153 56 102 2 378 213 90 206 606 185 398 261 187 626 11 231 350 805 206 668 159 299 233 310 110 292 221 216 360

Square kilometers 90.9 9.9 178.4 93.3 190.8 133.5 23.4 96.9 88.2 2.7 2.1 .6 3.1 75.4 .5 3.2 3.7 90.8 2.2 92.8 97.8 92.9 95.9 2.7 134.5 92.9 3.3 90.2 3.9 92.6 5.9 85.0 119.0 4.1 89.9 76.8 89.0 5.2 92.2 186.9 3.6 90.5 8.0 88.8 96.2 92.8 90.2 88.2 191.1 9.8 93.3 2.9 114.1 112.1 96.9 4.3 91.6 166.9 94.4 38.1 18.9 76.1 83.1 1.8 57.9 91.9 91.7 91.7 93.1 93.2 91.7 86.0 4.5

Square miles 35.1 3.8 68.9 36.0 73.7 51.5 9.1 37.4 34.1 1.0 .8 .2 1.2 29.1 .2 1.2 1.4 35.1 .9 35.8 37.8 35.9 37.0 1.0 51.9 35.9 1.3 34.8 1.5 35.7 2.3 32.8 46.0 1.6 34.7 29.6 34.4 2.0 35.6 72.1 1.4 34.9 3.1 34.3 37.1 35.8 34.8 34.1 73.8 3.8 36.0 1.1 44.1 43.3 37.4 1.7 35.4 64.4 36.4 14.7 7.3 29.4 32.1 .7 22.3 35.5 35.4 35.4 35.9 36.0 35.4 33.2 1.7

Square kilometers 90.9 9.1 177.3 93.3 176.4 133.5 22.9 96.7 87.1 2.7 2.1 .6 3.1 70.7 .5 3.2 3.7 90.8 2.2 88.0 84.5 92.9 95.5 2.6 133.3 89.1 3.3 90.2 3.9 92.6 4.3 83.6 118.5 4.1 89.9 73.4 88.5 5.2 92.0 183.0 3.6 89.9 8.0 87.0 93.3 92.6 89.7 82.8 149.6 8.5 93.3 2.9 104.5 110.8 94.9 4.1 90.4 166.4 78.6 37.3 18.9 75.5 83.1 1.8 57.5 91.9 91.7 91.7 93.0 86.2 91.4 85.9 4.5

Square miles 35.1 3.5 68.5 36.0 68.1 51.5 8.8 37.3 33.6 1.0 .8 .2 1.2 27.3 .2 1.2 1.4 35.1 .9 34.0 32.6 35.9 36.9 1.0 51.5 34.4 1.3 34.8 1.5 35.7 1.7 32.3 45.8 1.6 34.7 28.3 34.2 2.0 35.5 70.6 1.4 34.7 3.1 33.6 36.0 35.7 34.6 32.0 57.8 3.3 36.0 1.1 40.3 42.8 36.6 1.6 34.9 64.3 30.4 14.4 7.3 29.1 32.1 .7 22.2 35.5 35.4 35.4 35.9 33.3 35.3 33.2 1.7

Square kilometer 13.1 1 011.8 6.4 4.0 1.1 7.5 38.0 27.3 15.2 213.3 269.5 16.7 675.2 27.1 456.0 115.0 416.8 14.1 291.4 2.3 6.9 7.1 3.1 115.4 8.6 10.5 377.0 8.0 33.1 7.0 237.7 10.5 7.6 280.7 15.4 10.8 16.2 91.2 7.6 .9 42.5 28.7 654.0 7.1 3.5 4.4 18.9 4.2 1 278.5 757.9 7.7 50.3 6.2 19.9 8.3 285.1 8.6 3.4 8.3 871.8 49.6 34.2 8.0 751.1 12.1 10.1 9.7 12.6 3.2 7.1 7.5 11.4 356.9

Square mile 34.0 2 630.6 16.6 10.4 2.9 19.5 99.0 70.7 39.5 576.0 707.5 50.0 1 744.2 70.1 1 140.0 306.7 1 101.4 36.5 712.2 6.0 17.9 18.4 8.1 300.0 22.3 27.3 956.9 20.6 86.0 18.0 601.2 27.2 19.8 719.4 40.0 27.9 41.9 237.0 19.8 2.2 109.3 74.3 1 687.7 18.3 9.1 11.3 49.0 10.9 3 309.0 1 952.1 19.9 132.7 16.1 51.5 21.6 730.6 22.2 8.8 21.4 2 258.3 128.4 88.6 20.8 1 931.4 31.3 26.1 25.1 32.7 8.4 18.3 19.5 29.5 944.7

Square kilometer 4.3 355.2 2.5 1.3 2.4 3.2 10.9 10.1 5.8 93.3 118.1 6.7 268.7 12.7 214.0 54.4 152.2 4.7 130.9 3.1 6.7 2.6 1.6 46.9 3.2 3.8 166.7 2.4 20.3 2.5 116.5 4.6 3.0 112.2 4.7 5.6 6.4 38.8 2.7 1.4 26.7 11.8 239.4 2.5 2.2 1.7 6.0 4.4 535.1 398.4 2.9 29.7 2.4 6.7 3.0 120.2 3.4 2.0 14.7 368.0 18.7 10.6 3.2 313.3 3.7 3.7 3.2 4.0 1.3 7.1 3.6 3.6 134.2

Square mile 11.3 923.4 6.5 3.3 6.2 8.3 28.3 26.2 15.1 252.0 310.0 20.0 694.2 32.9 535.0 145.0 402.1 12.2 320.0 8.1 17.5 6.8 4.1 122.0 8.3 9.8 423.1 6.2 52.7 6.5 294.7 11.8 7.8 287.5 12.2 14.6 16.5 101.0 7.1 3.7 68.6 30.6 617.7 6.4 5.6 4.5 15.6 11.4 1 384.9 1 026.1 7.6 78.2 6.2 17.4 7.9 308.1 8.8 5.3 38.0 953.3 48.5 27.4 8.4 805.7 9.7 9.5 8.2 10.3 3.5 18.3 9.3 9.3 355.3

Livingston village Grant County Iowa County Lodi city, Columbia County Lodi town, Columbia County Loganville village, Sauk County Lohrville village, Waushara County Lomira village, Dodge County Lomira town, Dodge County Lone Rock village, Richland County Long Lake town, Florence County Long Lake town, Washburn County Longwood town, Clark County Lorain town, Polk County Lowell village, Dodge County Lowell town, Dodge County Lowville town, Columbia County Loyal city, Clark County Loyal town, Clark County Lublin village, Taylor County Lucas town, Dunn County Luck village, Polk County Luck town, Polk County Ludington town, Eau Claire County Luxemburg village, Kewaunee County Luxemburg town, Kewaunee County Lyndon town, Juneau County Lyndon town, Sheboygan County Lyndon Station village, Juneau County Lynn town, Clark County Lynne town, Oneida County Lynxville village, Crawford County Lyons town, Walworth County McFarland village, Dane County Mackford town, Green Lake County McKinley town, Polk County McKinley town, Taylor County McMillan town, Marathon County Madge town, Washburn County Madison city, Dane County Madison town, Dane County Magnolia town, Rock County Maiden Rock village, Pierce County Maiden Rock town, Pierce County Maine town, Marathon County Maine town, Outagamie County Manawa city, Waupaca County Manchester town, Green Lake County Manchester town, Jackson County Manitowish Waters town, Vilas County Manitowoc city, Manitowoc County Manitowoc town, Manitowoc County Manitowoc Rapids town, Manitowoc County Maple town, Douglas County Maple Bluff village, Dane County Maple Creek town, Outagamie County Maple Grove town, Barron County Maple Grove town, Manitowoc County Maple Grove town, Shawano County Maplehurst town, Taylor County Maple Plain town, Barron County Maple Valley town, Oconto County Marathon town, Marathon County Marathon City village, Marathon County

1 1

80 3

1 13

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 58 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

58 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Marcellon town, Columbia County Marengo town, Ashland County Maribel village, Manitowoc County Marietta town, Crawford County Marinette city, Marinette County Marion town, Grant County Marion town, Juneau County Marion city, Waupaca County Marion town, Waushara County Markesan city, Green Lake County Marquette village, Green Lake County Marquette town, Green Lake County Marshall village, Dane County Marshall town, Richland County Marshall town, Rusk County Marshfield town, Fond du Lac County Marshfield city Marathon County Wood County Marshfield town, Wood County Martell town, Pierce County Mason village, Bayfield County Mason town, Bayfield County Matteson town, Waupaca County Mattoon village, Shawano County Mauston city, Juneau County Maxville town, Buffalo County Mayville town, Clark County Mayville city, Dodge County Mazomanie village, Dane County Mazomanie town, Dane County Mead town, Clark County Meadowbrook town, Sawyer County Mecan town, Marquette County Medary town, La Crosse County Medford city, Taylor County Medford town, Taylor County Medina town, Dane County Meeme town, Manitowoc County Meenon town, Burnett County Mellen city, Ashland County Melrose village, Jackson County Melrose town, Jackson County Melvina village, Monroe County Menasha city Calumet County Winnebago County Menasha town, Winnebago County Menominee town, Menominee County Menomonee Falls village, Waukesha County Menomonie city, Dunn County Menomonie town, Dunn County Mentor town, Clark County Mequon city, Ozaukee County Mercer town, Iron County Merrill city, Lincoln County Merrill town, Lincoln County Merrillan village, Jackson County Merrimac village, Sauk County Merrimac town, Sauk County Merton village, Waukesha County Merton town, Waukesha County Meteor town, Sawyer County Metomen town, Fond du Lac County Middle Inlet town, Marinette County Middleton city, Dane County Middleton town, Dane County Mifflin town, Iowa County Milford town, Jefferson County Milladore village Portage County Wood County 880 284 372 532 843 484 351 242 478 496 182 400 329 550 630 130 1980 809 276 363 568 11 965 463 r362 1 348 1 333 1 446 204 393 2 363 558 697 1 214 18 290 237 18 053 784 864 102 304 844 382 284 403 962 333 248 007 303 202 599 794 035 809 019 535 838 046 507 338 117 1970 759 257 316 601 696 364 223 218 877 285 161 310 043 550 679 159 1990 316 154 131 233 5 268 178 239 554 1 417 604 127 342 928 234 214 402 8 045 193 7 852 262 306 41 144 349 186 1 560 120 295 1 690 528 409 237 107 660 551 1 833 657 386 513 749 445 251 141 42 6 168 26 6 142 5 1 10 4 6 1 4 1 514 742 043 539 972 252 470 712 045 037 265 219 579 366 421 94 243 748 895 157 207 377 113 – 113 1980 294 158 125 209 5 057 159 r219 553 1 255 568 146 323 918 207 210 384 7 063 86 6 977 240 300 46 137 297 151 1 442 125 284 1 655 484 365 239 94 613 600 1 619 552 339 462 719 442 245 144 43 5 741 … 5 741 r4 1 9 3 322 327 067 982 831 237 5 168 1 565 3 840 953 267 191 494 307 2 198 82 245 661 r5 218 r796 208 371 119 12 107 1970 239 120 97 191 4 407 112 148 446 840 497 108 111 320 173 183 313 4 912 24 4 888 270 229 43 119 221 143 1 261 103 248 1 364 391 247 194 90 296 685 1 158 430 288 370 429 383 193 125 42 4 570 … 4 570 2 408 704 8 092 2 980 505 221 3 283 874 3 292 605 230 183 308 171 1 612 62 223 392 2 964 461 179 332 80 … 80

Square kilometers 92.7 187.3 3.0 124.4 20.3 92.7 63.3 5.0 90.6 6.0 2.0 104.2 4.1 93.4 92.7 89.1 30.0 3.6 26.5 44.4 92.8 1.3 93.0 96.2 3.9 8.7 110.8 84.3 7.2 2.7 81.2 92.4 93.8 71.3 37.9 8.4 98.3 88.1 94.0 86.5 4.8 2.1 71.1 1.2 15.6 .8 14.8 36.8 945.4 86.2 33.7 109.0 92.8 121.3 478.6 18.6 138.3 3.4 3.6 68.1 6.0 75.0 91.3 90.2 133.2 16.7 58.3 131.3 90.8 2.6 – 2.6

Square miles 35.8 72.3 1.2 48.0 7.9 35.8 24.4 1.9 35.0 2.3 .8 40.2 1.6 36.0 35.8 34.4 11.6 1.4 10.2 17.2 35.8 .5 35.9 37.1 1.5 3.3 42.8 32.5 2.8 1.0 31.3 35.7 36.2 27.5 14.6 3.2 38.0 34.0 36.3 33.4 1.9 .8 27.4 .5 6.0 .3 5.7 14.2 365.0 33.3 13.0 42.1 35.8 46.8 184.8 7.2 53.4 1.3 1.4 26.3 2.3 28.9 35.3 34.8 51.4 6.5 22.5 50.7 35.0 1.0 – 1.0

Square kilometers 91.9 184.8 3.0 121.8 17.2 91.9 60.8 4.8 86.9 6.0 2.0 78.7 4.0 93.4 92.7 88.6 29.9 3.6 26.4 44.4 92.8 1.3 93.0 95.0 3.9 7.5 108.9 84.1 7.2 2.7 79.0 91.0 93.1 71.1 37.7 8.3 98.2 87.3 93.7 82.9 4.8 2.0 69.4 1.2 11.9 .8 11.1 32.6 927.2 86.2 29.2 108.5 92.5 119.6 435.3 17.4 134.9 3.3 2.0 63.4 5.9 68.5 89.2 90.2 131.2 16.7 58.3 131.3 87.7 2.6 – 2.6

Square miles 35.5 71.3 1.2 47.0 6.7 35.5 23.5 1.9 33.6 2.3 .8 30.4 1.5 36.0 35.8 34.2 11.6 1.4 10.2 17.1 35.8 .5 35.9 36.7 1.5 2.9 42.0 32.5 2.8 1.0 30.5 35.1 36.0 27.5 14.5 3.2 37.9 33.7 36.2 32.0 1.9 .8 26.8 .5 4.6 .3 4.3 12.6 358.0 33.3 11.3 41.9 35.7 46.2 168.1 6.7 52.1 1.3 .8 24.5 2.3 26.4 34.4 34.8 50.7 6.4 22.5 50.7 33.9 1.0 – 1.0

Square kilometer 9.6 1.5 124.0 4.4 688.5 5.3 5.8 258.8 17.0 249.3 91.0 5.1 582.3 5.9 6.8 12.8 645.2 120.0 714.4 17.3 9.3 78.5 3.2 9.4 110.5 458.5 3.4 11.1 607.5 510.0 12.4 2.7 2.1 7.6 42.0 516.0 20.0 12.9 16.2 11.5 194.8 275.5 5.1 95.8 1 236.2 91.3 1 318.7 428.7 4.2 311.4 463.9 25.2 5.6 157.9 3.0 566.7 20.1 167.6 196.0 11.6 203.2 93.9 1.2 7.6 5.7 795.7 62.2 4.3 11.5 120.8 – 120.8

Square mile 24.8 4.0 310.0 11.3 1 767.6 13.6 14.9 653.7 44.0 650.4 227.5 13.2 1 552.7 15.3 17.6 33.0 1 663.0 308.6 1 848.9 45.0 24.2 204.0 8.2 24.2 287.3 185.9 8.8 28.7 562.1 377.0 32.2 7.1 5.3 19.7 109.3 338.4 51.7 33.4 41.9 29.9 492.1 688.8 13.3 230.0

Square kilometer 3.4 .8 43.7 1.9 306.3 1.9 3.9 115.4 16.3 100.7 63.5 4.3 232.0 2.5 2.3 4.5 269.1 53.6 297.4 5.9 3.3 31.5 1.5 3.7 47.7 208.0 1.1 3.5 234.7 195.6 5.2 2.6 1.1 9.3 14.6 220.8 6.7 4.4 5.5 9.0 92.7 125.5 2.0 35.0 518.3 32.5 553.3 169.1 1.9 116.5 155.4 9.0 2.7 54.1 3.9 232.5 7.7 80.3 109.5 9.1 62.0 35.3 1.1 2.7 5.7 353.0 19.8 1.6 4.3 43.5 – 43.5

Square mile 8.9 2.2 109.2 5.0 786.3 5.0 10.2 291.6 42.2 262.6 158.8 11.3 618.7 6.5 6.0 11.8 693.5 137.9 769.8 15.3 8.5 82.0 4.0 9.5 124.0 537.9 2.9 9.1 603.6 528.0 13.4 6.8 3.0 24.0 38.0 572.8 17.3 11.5 14.2 23.4 234.2 313.8 5.3 84.0 1 340.9 86.7 1 428.4 437.6 4.9 301.6 401.7 23.2 7.1 140.0 10.2 603.7 19.9 203.8 273.8 23.6 159.1 91.7 2.7 7.0 14.8 921.1 51.4 4.1 11.1 113.0 – 113.0

11 1 1 1 2 1

12 1 1 1 1

19 291 432 18 859 769 866 102 296 889 431 439 370 932 374 377 982 249 192 541 585 283 961 124 516 956 935 551 357 115

15 619 59 15 560 1 056 733 119 304 737 377 3 466 360 957 4 139 1 217 789 237 190 397 2 333 3 454 1 546 961 1 480 596 1 168 505 355 116 14 836 … 14 836 8 2 31 11 1 12 1 9 1 682 607 697 112 820 584 150 003 502 742 612 376 435 646 424 117 798 457 246 028 664 129 229 … 229

3 4 1

3 4 1 1

1 1 1

1 4 1 1 1

1 4 1 1 1 1

1

14 711 73 14 638 13 3 26 13 2 18 1 9 2 975 890 840 547 732 521 885 325 860 716 553 392 737 199 430 111 685 744 289 628 564 007 314 – 314

14 728 … 14 728 r12 3 27 12 2 16 1 9 2 307 373 845 769 453 596 193 425 578 591 587 365 661 045 025 105 792 681 851 595 591 066 250 10 240

3 198.0 243.3 3 404.2 1 109.1 10.9 806.0 1 198.8 65.2 14.6 408.8 7.9 1 471.6 52.1 425.4 490.0 30.1 521.3 243.6 3.2 19.7 14.7 2 076.4 161.2 11.1 29.7 314.0 – 314.0

1 6

1 6

4

2

13 3 1

r11 r2 1

8 2 1

5 1

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 59 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 59

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Milladore town, Wood County Millston town, Jackson County Milltown village, Polk County Milltown town, Polk County Millville town, Grant County Milton town, Buffalo County Milton city, Rock County Milton town, Rock County Milwaukee city Milwaukee County Washington County Waukesha County Mineral Point city, Iowa County Mineral Point town, Iowa County Minocqua town, Oneida County Minong village, Washburn County Minong town, Washburn County Mishicot village, Manitowoc County Mishicot town, Manitowoc County Mitchell town, Sheboygan County Modena town, Buffalo County Molitor town, Taylor County Mondovi city, Buffalo County Mondovi town, Buffalo County Monico town, Oneida County Monona city, Dane County Monroe town, Adams County Monroe city, Green County Monroe town, Green County Montana town, Buffalo County Montello city, Marquette County Montello town, Marquette County Montfort village Grant County Iowa County Monticello village, Green County Monticello town, Lafayette County Montpelier town, Kewaunee County Montreal city, Iron County Montrose town, Dane County Morgan town, Oconto County Morris town, Shawano County Morrison town, Brown County Morse town, Ashland County Moscow town, Iowa County Mosel town, Sheboygan County Mosinee city, Marathon County Mosinee town, Marathon County Moundville town, Marquette County Mount Calvary village, Fond du Lac County Mount Hope village, Grant County Mount Hope town, Grant County Mount Horeb village, Dane County Mount Ida town, Grant County Mount Morris town, Waushara County Mount Pleasant town, Green County Mount Pleasant town, Racine County Mount Sterling village, Crawford County Mukwa town, Waupaca County Mukwonago village, Waukesha County Mukwonago town, Waukesha County Murry town, Rusk County Muscoda village Grant County Iowa County Muscoda town, Grant County Muskego city, Waukesha County Namakagon town, Bayfield County Naples town, Buffalo County Nasewaupee town, Door County Nashotah village, Waukesha County 719 154 786 949 169 450 4 434 2 363 628 088 628 088 – – 2 428 851 3 486 521 730 1 296 1 344 944 360 183 2 491 545 294 8 637 305 10 241 1 066 316 1 329 940 676 580 96 1 140 182 1 369 838 1 032 815 453 1 493 481 528 918 3 820 1 638 457 558 173 240 4 182 510 767 539 20 084 217 2 304 4 457 5 974 291 1 287 1 283 4 566 16 813 276 496 1 798 567 1980 760 202 732 943 152 416 4 092 2 306 r636 297 r636 295 2 … 2 259 792 3 328 557 761 1 503 1 334 900 436 212 2 545 511 291 8 809 288 10 027 1 054 337 1 273 640 616 516 100 1 021 202 1 457 887 1 024 726 447 1 565 469 568 1 035 3 015 1 464 470 585 197 343 3 251 544 685 567 19 340 223 1 946 4 014 4 979 301 1 331 1 331 – 566 15 277 286 580 1 899 513 1970 728 157 634 691 170 370 3 699 1 977 717 372 717 372 – … 2 305 770 2 343 420 445 938 1 743 779 456 199 2 338 435 306 10 420 252 8 654 1 145 409 1 082 531 518 511 7 870 201 1 273 877 962 670 411 1 473 401 548 1 127 2 395 910 399 942 176 308 2 402 495 517 597 16 368 181 1 208 2 367 1 930 253 1 099 1 099 … 455 11 573 224 559 1 470 410 1990 241 125 375 745 75 180 1 724 1 100 254 204 254 204 – – 1 049 305 3 716 262 1 124 503 449 337 148 171 1 080 184 185 3 822 359 4 556 312 113 695 636 276 247 29 482 60 457 462 378 285 204 497 304 180 320 1 478 555 211 184 84 96 1 638 183 867 188 8 000 96 869 1 643 1 847 157 557 555 2 234 5 759 628 191 1 263 188 1980 233 123 365 655 68 173 1 493 1 041 r253 564 r253 563 1 … 964 288 3 642 231 957 500 408 282 154 164 1 031 166 167 3 755 286 4 248 269 107 671 507 259 231 28 450 62 424 456 351 249 194 477 266 182 334 1 107 483 212 180 81 112 1 270 191 774 173 6 627 94 754 1 343 1 534 133 538 538 – 241 4 581 536 182 1 202 174 1970 191 100 236 530 61 142 1 063 770 246 092 246 092 – … 855 210 2 277 163 445 282 441 205 154 124 847 136 148 3 363 189 3 271 225 97 476 441 209 206 3 323 63 344 407 269 190 153 403 247 161 308 770 263 147 155 72 105 839 153 547 153 4 499 71 470 703 631 87 423 423 … 168 3 106 330 162 857 139

Square kilometers 88.1 187.5 4.6 86.7 56.3 76.5 7.0 86.9 250.8 250.5 .1 .2 7.5 153.4 434.8 3.2 184.7 6.5 71.7 93.7 93.5 93.2 8.3 84.7 141.3 8.8 99.7 10.4 86.3 122.2 5.4 88.3 1.4 1.3 .1 3.0 50.9 93.7 5.8 89.8 92.3 93.8 94.4 270.4 107.2 54.8 22.0 99.6 60.1 2.6 .8 77.5 5.8 94.0 91.2 88.9 96.7 3.5 86.1 6.6 89.0 160.9 3.4 2.3 1.1 89.7 92.9 187.0 92.8 184.3 4.3

Square miles 34.0 72.4 1.8 33.5 21.7 29.5 2.7 33.5 96.8 96.7 – .1 2.9 59.2 167.9 1.2 71.3 2.5 27.7 36.2 36.1 36.0 3.2 32.7 54.6 3.4 38.5 4.0 33.3 47.2 2.1 34.1 .5 .5 – 1.1 19.6 36.2 2.2 34.7 35.6 36.2 36.5 104.4 41.4 21.1 8.5 38.5 23.2 1.0 .3 29.9 2.2 36.3 35.2 34.3 37.3 1.4 33.2 2.5 34.4 62.1 1.3 .9 .4 34.6 35.9 72.2 35.8 71.1 1.7

Square kilometers 88.1 183.8 4.6 80.9 54.3 64.9 7.0 82.6 248.8 248.5 .1 .2 7.5 153.2 390.1 3.2 167.2 6.5 71.7 93.6 93.5 91.4 8.2 84.7 140.1 8.6 56.7 10.4 86.3 122.2 4.7 84.4 1.4 1.3 .1 2.9 50.9 93.7 5.8 89.2 92.1 93.8 90.8 266.2 107.1 54.8 20.0 96.3 59.4 2.6 .8 77.5 5.8 94.0 88.6 88.9 92.7 3.5 81.7 6.4 86.1 160.2 3.4 2.3 1.1 86.9 80.9 168.3 92.8 111.6 4.2

Square miles 34.0 70.9 1.8 31.2 21.0 25.0 2.7 31.9 96.1 96.0 – .1 2.9 59.1 150.6 1.2 64.5 2.5 27.7 36.1 36.1 35.3 3.2 32.7 54.1 3.3 21.9 4.0 33.3 47.2 1.8 32.6 .5 .5 – 1.1 19.6 36.2 2.2 34.4 35.6 36.2 35.1 102.8 41.4 21.1 7.7 37.2 22.9 1.0 .3 29.9 2.2 36.3 34.2 34.3 35.8 1.4 31.5 2.5 33.2 61.9 1.3 .9 .4 33.5 31.2 65.0 35.8 43.1 1.6

Square kilometer 8.2 .8 170.9 11.7 3.1 6.9 633.4 28.6 2 524.5 2 527.5 – – 323.7 5.6 8.9 162.8 4.4 199.4 18.7 10.1 3.9 2.0 303.8 6.4 2.1 1 004.3 5.4 984.7 12.4 2.6 282.8 11.1 482.9 446.2 960.0 393.1 3.6 14.6 144.5 11.6 8.8 4.8 16.4 1.8 4.9 16.8 191.0 17.0 7.7 214.6 216.3 3.1 721.0 5.4 8.7 6.1 216.7 62.0 28.2 696.4 69.4 1.8 378.5 557.8 3.6 6.5 207.8 1.6 5.3 16.1 135.0

Square mile 21.1 2.2 436.7 30.4 8.0 18.0 1 642.2 74.1 6 535.8 6 542.6 – – 837.2 14.4 23.1 434.2 11.3 518.4 48.5 26.1 10.0 5.2 778.4 16.7 5.4 2 617.3 13.9 2 560.3 32.0 6.7 738.3 28.8 1 352.0 1 160.0 – 1 036.4 9.3 37.8 380.9 30.0 22.9 12.5 42.5 4.7 12.8 43.5 496.1 44.0 20.0 558.0 576.7 8.0 1 900.9 14.0 22.4 15.7 561.0 155.0 73.1 1 782.8 179.9 4.7 990.0 1 425.6 10.0 16.9 538.9 4.2 13.9 41.7 354.4

Square kilometer 2.7 .7 81.5 9.2 1.4 2.8 246.3 13.3 1 021.7 1 023.0 – – 139.9 2.0 9.5 81.9 6.7 77.4 6.3 3.6 1.6 1.9 131.7 2.2 1.3 444.4 6.3 438.1 3.6 .9 147.9 7.5 197.1 190.0 290.0 166.2 1.2 4.9 79.7 4.2 3.1 2.2 5.5 1.1 1.7 5.8 73.9 5.8 3.6 70.8 105.0 1.2 282.4 1.9 9.8 2.1 86.3 27.4 10.6 256.7 21.5 1.0 163.8 241.3 1.8 2.7 71.2 3.7 2.1 11.3 44.8

Square mile 7.1 1.8 208.3 23.9 3.6 7.2 638.5 34.5 2 645.2 2 648.0 – – 361.7 5.2 24.7 218.3 17.4 201.2 16.2 9.3 4.1 4.8 337.5 5.6 3.4 1 158.2 16.4 1 139.0 9.4 2.4 386.1 19.5 552.0 494.0 – 438.2 3.1 12.6 210.0 11.0 8.0 5.6 14.2 3.0 4.3 15.2 191.9 14.9 9.2 184.0 280.0 3.2 744.5 5.0 25.4 5.5 223.5 68.6 27.6 657.2 55.6 2.5 428.5 616.7 5.0 7.0 184.6 9.7 5.3 29.3 117.5

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 60 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

60 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Nashville town, Forest County Navarino town, Shawano County Necedah village, Juneau County Necedah town, Juneau County Neenah city, Winnebago County Neenah town, Winnebago County Neillsville city, Clark County Nekimi town, Winnebago County Nekoosa city, Wood County Nelson village, Buffalo County Nelson town, Buffalo County Nelsonville village, Portage County Neopit CDP, Menominee County Neosho village, Dodge County Nepeuskun town, Winnebago County Neshkoro village, Marquette County Neshkoro town, Marquette County Neva town, Langlade County Newark town, Rock County New Auburn village Barron County Chippewa County New Berlin city, Waukesha County Newbold town, Oneida County Newburg village Ozaukee County Washington County New New New New New New New New New New New Chester town, Adams County Denmark town, Brown County Diggings town, Lafayette County Glarus village, Green County Glarus town, Green County Haven town, Adams County Haven town, Dunn County Holstein city, Calumet County Holstein town, Calumet County Hope town, Portage County Lisbon city, Juneau County 871 439 743 601 219 691 680 525 557 388 571 171 615 658 647 384 489 910 514 485 26 459 33 592 2 281 875 22 853 1 675 1 370 485 1 899 571 511 658 3 342 1 406 694 1 491 6 658 1 337 5 321 156 536 243 106 242 470 999 891 254 999 874 246 419 572 292 591 101 548 322 564 493 842 513 162 643 003 822 906 200 120 1980 703 456 773 1 394 22 432 2 864 2 780 1 516 2 519 389 r703 199 1 065 575 682 386 370 970 1 574 466 14 452 30 529 2 171 783 95 688 1 088 1 420 556 1 763 510 522 707 3 412 1 527 625 1 390 6 210 1 269 4 941 123 657 … 306 332 460 079 717 267 883 808 219 456 652 844 616 218 506 938 517 619 1970 519 440 740 674 902 942 750 193 409 … 870 152 122 400 743 385 217 819 456 368 … 368 26 910 1 234 … … … 420 1 203 601 1 454 552 543 645 3 012 1 513 492 1 361 5 801 1 368 4 433 110 562 … 707 256 320 347 561 207 508 682 263 498 587 286 596 547 475 669 432 620 1990 1 086 177 368 1 188 9 261 1 001 1 199 516 1 008 190 237 70 177 226 251 218 483 422 505 195 7 188 12 102 2 006 302 8 294 582 438 188 769 196 297 259 1 239 466 326 643 2 694 582 2 112 66 298 336 025 805 344 826 418 92 920 354 94 173 242 651 251 122 162 414 228 982 1980 1 025 170 313 837 8 310 925 1 153 478 941 176 r281 71 232 195 234 180 299 362 490 184 6 178 9 546 1 774 279 43 236 472 399 224 719 175 282 246 1 121 447 258 599 2 388 510 1 878 55 276 … 1 665 783 292 763 308 99 862 260 92 167 256 1 380 256 753 153 304 231 1 590 300 5 706 … 275 338 258 291 493 262 1970 672 144 286 372 6 892 815 960 333 773 … 333 58 214 126 249 158 87 292 381 128 … 128 6 839 966 … … … 225 293 188 527 163 231 216 879 357 219 509 1 944 455 1 489 45 215 … 1 223 644 178 706 226 64 443 221 89 152 219 983 212 472 129 203 182 1 495 243 3 671 … 201 274 197 225 444 184

Square kilometers 187.4 92.6 7.5 214.9 20.6 48.6 7.1 78.1 8.8 3.8 201.0 2.7 .5 1.6 93.7 6.1 55.2 97.7 94.2 8.8 .5 8.3 95.6 240.9 2.1 .2 1.9 81.3 90.2 65.6 3.6 90.0 78.7 94.3 5.3 83.6 94.2 6.7 12.9 4.9 8.0 93.4 57.2 70.5 8.7 92.3 92.3 7.8 177.1 2.2 95.8 91.4 .3 73.3 93.2 4.3 2.3 5.5 93.3 3.5 2.7 92.3 93.6 74.1 2.1 92.6 2.4 92.8 91.3 89.3 103.1

Square miles 72.4 35.7 2.9 83.0 8.0 18.8 2.7 30.1 3.4 1.5 77.6 1.0 .2 .6 36.2 2.4 21.3 37.7 36.4 3.4 .2 3.2 36.9 93.0 .8 .1 .7 31.4 34.8 25.3 1.4 34.7 30.4 36.4 2.1 32.3 36.4 2.6 5.0 1.9 3.1 36.1 22.1 27.2 3.4 35.6 35.6 3.0 68.4 .9 37.0 35.3 .1 28.3 36.0 1.7 .9 2.1 36.0 1.4 1.0 35.7 36.1 28.6 .8 35.7 .9 35.8 35.3 34.5 39.8

Square kilometers 174.0 91.3 6.7 203.1 19.2 25.5 7.0 78.1 8.8 3.8 183.0 2.6 .5 1.5 82.7 5.9 54.3 97.0 94.2 8.8 .5 8.3 95.4 204.8 2.1 .2 1.9 80.8 89.9 65.6 3.6 90.0 75.8 94.3 5.3 83.4 92.9 6.1 12.7 4.8 7.9 92.1 55.7 52.3 8.5 88.6 91.9 7.1 173.8 2.2 86.5 89.9 .3 72.0 93.1 4.3 2.3 3.4 93.3 3.5 2.7 87.3 92.6 74.1 2.1 92.4 2.4 92.7 90.2 89.0 101.7

Square miles 67.2 35.2 2.6 78.4 7.4 9.8 2.7 30.1 3.4 1.5 70.7 1.0 .2 .6 31.9 2.3 21.0 37.4 36.4 3.4 .2 3.2 36.8 79.1 .8 .1 .7 31.2 34.7 25.3 1.4 34.7 29.3 36.4 2.1 32.2 35.9 2.4 4.9 1.9 3.0 35.6 21.5 20.2 3.3 34.2 35.5 2.7 67.1 .9 33.4 34.7 .1 27.8 36.0 1.7 .9 1.3 36.0 1.4 1.0 33.7 35.8 28.6 .8 35.7 .9 35.8 34.8 34.4 39.3

Square kilometer 5.0 4.8 110.9 7.9 1 209.3 105.5 382.9 19.5 290.6 102.1 3.1 65.8 1 230.0 438.7 7.8 65.1 9.0 9.4 16.1 55.1 52.0 55.3 352.1 11.1 416.7 110.0 448.9 20.7 15.2 7.4 527.5 6.3 6.7 7.0 630.6 16.9 7.5 244.4 524.3 278.5 673.5 1.7 9.6 4.6 600.7 25.3 5.1 281.5 5.1 115.5 11.5 9.7 820.0 5.8 6.1 998.1 257.0 912.1 5.9 377.7 208.9 62.9 9.1 263.3 77.1 7.0 417.9 8.9 10.0 13.5 11.0

Square mile 13.0 12.5 285.8 20.4 3 137.7 274.6 992.6 50.7 752.1 258.7 8.1 171.0 3 075.0 1 096.7 20.3 167.0 23.3 24.3 41.6 142.6 130.0 143.4 912.8 28.8 1 093.8 220.0 1 218.6 53.7 39.5 19.2 1 356.4 16.5 17.4 18.1 1 591.4 43.7 19.3 621.3 1 358.8 703.7 1 773.7 4.4 24.9 12.0 547.3 65.6 13.2 740.4 13.3 282.2 29.9 25.2 460.0 15.1 15.9 524.7 656.7 385.4 15.2 944.3 564.0 163.0

Square kilometer 6.2 1.9 54.9 5.8 482.3 39.3 171.3 6.6 114.5 50.0 1.3 26.9 354.0 150.7 3.0 36.9 8.9 4.4 5.4 22.2 14.0 22.7 126.9 9.8 143.8 40.0 154.7 7.2 4.9 2.9 213.6 2.2 3.9 2.7 233.8 5.6 3.5 105.4 212.1 121.3 267.3 .7 5.4 6.4 238.2 9.1 3.7 116.3 2.4 41.8 10.6 3.9 313.3 2.4 2.6 384.0 109.1 330.0 1.7 118.3 84.4 22.7 3.5 98.0 38.1 2.5 148.3 2.8 3.5 5.3 3.4

Square mile 16.2 5.0 141.5 15.2 1 251.5 102.1 444.1 17.1 296.5 126.7 3.4 70.0 885.0 376.7 7.9 94.8 23.0 11.3 13.9 57.4 35.0 58.8 328.9 25.4 377.5 80.0 420.0 18.7 12.6 7.4 549.3 5.6 10.1 7.1 590.0 14.5 9.1 267.9 549.8 306.3 704.0 1.9 13.9 16.6 613.6 23.5 9.7 305.9 6.2 102.2 27.5 10.2 940.0 6.2 6.7 971.2 278.9 863.1 4.5 295.7 228.0 58.8 9.1 254.0 100.0 6.4 395.6 7.3 9.1 13.6 8.8

1 23 2 2 1 2

22 2 2 1 2

1

1

1

New London city Outagamie County Waupaca County New Lyme town, Monroe County Newport town, Columbia County New Post CDP, Sawyer County New Richmond city, St. Croix County Newton town, Manitowoc County Newton town, Marquette County Niagara village, Marinette County Niagara town, Marinette County Nichols village, Outagamie County Nokomis town, Oneida County Norrie town, Marathon County North Bay village, Racine County North Bend town, Jackson County Northfield town, Jackson County North Fond du Lac village, Fond du Lac County North Freedom village, Sauk County North Hudson village, St. Croix County North Lancaster town, Grant County North Prairie village, Waukesha County Norwalk village, Monroe County Norway town, Racine County Norwood town, Langlade County Oak Creek city, Milwaukee County Oakdale village, Monroe County Oakdale town, Monroe County Oakfield village, Fond du Lac County Oakfield town, Fond du Lac County Oak Grove town, Barron County Oak Grove town, Dodge County Oak Grove town, Pierce County

5 2 1

4 2 2

3 2 2

2

1

2 2 2

4 3 1 5 19 1 1 1

3 2

3 1

1 1

4

4

1

866 16 932 … 759 990 833 892 1 333 936

838 13 928 … 659 918 765 836 1 326 783

326 7 263 80 229 356 262 316 468 347

23.5 682.3 202.5 18.0 1 114.4 23.0 26.0 34.9 28.5

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 61 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 61

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Oakland town, Burnett County Oakland town, Douglas County Oakland town, Jefferson County Oasis town, Waushara County Oconomowoc city, Waukesha County Oconomowoc town, Waukesha County Oconomowoc Lake village, Waukesha County Oconto city, Oconto County Oconto town, Oconto County Oconto Falls city, Oconto County Oconto Falls town, Oconto County Odanah CDP, Ashland County Ogdensburg village, Waupaca County Ogema town, Price County Ojibwa town, Sawyer County Okauchee Lake CDP, Waukesha County Oliver village, Douglas County Oma town, Iron County Omro city, Winnebago County Omro town, Winnebago County Onalaska city, La Crosse County Onalaska town, La Crosse County Oneida CDP Brown County Outagamie County Oneida town, Outagamie County Ontario village, Vernon County Oostburg village, Sheboygan County Orange town, Juneau County Oregon village, Dane County Oregon town, Dane County Orfordville village, Rock County Orienta town, Bayfield County Orion town, Richland County Osborn town, Outagamie County Osceola town, Fond du Lac County Osceola village, Polk County Osceola town, Polk County Oshkosh city, Winnebago County Oshkosh town, Winnebago County Osseo city, Trempealeau County Otsego town, Columbia County Ottawa town, Waukesha County Otter Creek town, Dunn County Otter Creek town, Eau Claire County Oulu town, Bayfield County Owen city, Clark County Oxford village, Marquette County Oxford town, Marquette County Pacific town, Columbia County Packwaukee town, Marquette County Paddock Lake village, Kenosha County Palmyra village, Jefferson County Palmyra town, Jefferson County Pardeeville village, Columbia County Paris town, Grant County Paris town, Kenosha County Park Falls city, Price County Parkland town, Douglas County Park Ridge village, Portage County Parrish town, Langlade County Patch Grove village, Grant County Patch Grove town, Grant County Peck town, Langlade County Peeksville town, Ashland County Pelican town, Oneida County Pella town, Shawano County Pell Lake CDP, Walworth County Pembine town, Marinette County Pence town, Iron County Pensaukee town, Oconto County Pepin village, Pepin County Pepin town, Pepin County 480 993 526 389 993 323 493 474 999 584 014 190 220 860 250 819 265 260 836 616 284 907 808 415 393 3 858 407 1 931 581 4 519 2 428 1 219 114 604 784 1 588 2 075 1 337 55 006 4 655 1 551 647 2 988 339 459 513 895 499 637 1 944 1 135 2 662 1 539 1 177 1 630 749 1 482 3 104 1 326 546 81 202 378 402 167 3 202 885 2 018 817 181 979 873 696 1980 486 938 240 403 909 340 524 505 937 500 033 … 214 850 264 958 253 298 763 684 249 386 … … … 3 499 398 1 647 607 3 876 1 798 1 143 109 644 786 1 569 1 581 1 066 49 620 4 420 1 474 767 2 795 337 497 547 998 432 720 1 215 998 2 207 1 515 1 069 1 594 842 1 612 3 192 1 496 643 87 259 421 424 184 3 387 788 1 826 773 191 1 000 890 749 1970 311 624 984 346 741 010 599 667 934 517 895 … 206 821 238 134 210 265 341 444 909 973 … … … 2 624 392 1 309 619 2 553 1 115 888 108 619 724 1 116 1 152 769 53 082 4 943 1 356 754 1 698 224 526 505 1 031 453 385 756 668 1 470 1 341 875 1 507 751 1 744 2 953 1 523 817 60 187 385 413 145 2 576 734 1 284 654 234 863 747 740 1990 918 498 207 259 350 841 216 841 387 114 411 71 88 439 253 607 102 504 093 665 378 001 278 146 132 1 151 197 704 255 1 672 794 442 151 279 249 836 853 582 21 827 1 512 656 263 1 030 169 168 267 437 252 356 847 882 1 074 600 549 686 227 517 1 308 470 222 100 99 116 163 115 1 679 379 1 207 826 97 482 386 355 1980 791 450 083 249 642 687 209 833 356 977 380 … 96 432 215 642 88 460 009 631 213 730 … … … 960 186 574 221 412 561 411 101 266 224 811 668 469 047 440 625 257 880 124 166 237 448 242 319 536 781 916 557 500 691 235 492 274 496 218 90 107 118 153 96 766 313 224 639 122 461 384 332 1970 519 343 835 308 922 229 206 701 300 776 298 … 88 344 148 425 68 374 792 434 491 894 … … … 580 167 435 169 754 290 305 85 232 171 600 417 308 461 269 492 237 601 86 155 204 373 211 140 269 476 730 422 389 549 170 455 034 382 223 61 71 94 118 52 078 243 081 502 115 337 294 297

Square kilometers 85.3 168.3 93.6 91.4 16.3 86.2 8.1 19.1 95.0 6.9 85.5 4.1 2.7 210.8 133.2 12.8 5.3 201.4 5.4 92.4 18.1 120.9 14.8 3.8 11.0 157.6 2.6 2.0 91.0 6.9 84.6 3.0 140.7 93.8 43.9 94.2 7.9 96.9 51.9 163.4 4.0 80.2 91.8 95.6 92.1 91.9 4.6 2.6 86.9 55.9 106.0 4.8 3.1 91.2 5.9 92.1 94.5 9.8 92.0 .6 94.8 1.0 85.2 96.5 95.6 140.8 95.2 10.1 174.4 93.5 92.3 1.8 136.2

Square miles 32.9 65.0 36.1 35.3 6.3 33.3 3.1 7.4 36.7 2.7 33.0 1.6 1.0 81.4 51.4 4.9 2.1 77.8 2.1 35.7 7.0 46.7 5.7 1.5 4.2 60.8 1.0 .8 35.1 2.7 32.7 1.2 54.3 36.2 16.9 36.4 3.0 37.4 20.0 63.1 1.5 31.0 35.5 36.9 35.6 35.5 1.8 1.0 33.6 21.6 40.9 1.9 1.2 35.2 2.3 35.5 36.5 3.8 35.5 .2 36.6 .4 32.9 37.2 36.9 54.4 36.8 3.9 67.3 36.1 35.6 .7 52.6

Square kilometers 67.3 165.6 90.3 90.7 15.0 77.6 4.7 17.8 94.0 6.3 84.1 4.0 2.5 210.6 131.7 9.0 5.3 193.5 5.1 85.9 16.7 100.4 14.6 3.6 11.0 157.6 2.6 2.0 91.0 6.9 84.3 3.0 140.2 92.7 43.9 91.0 7.6 92.3 46.5 36.0 3.9 79.0 90.2 95.6 92.1 91.9 4.5 2.5 86.5 52.7 98.7 4.2 3.0 90.3 5.2 91.0 94.5 9.2 92.0 .6 94.1 1.0 85.2 96.3 95.3 133.8 94.3 9.7 171.8 83.3 92.0 1.8 117.7

Square miles 26.0 63.9 34.9 35.0 5.8 30.0 1.8 6.9 36.3 2.4 32.5 1.5 1.0 81.3 50.8 3.5 2.0 74.7 2.0 33.2 6.4 38.8 5.7 1.4 4.2 60.8 1.0 .8 35.1 2.7 32.5 1.2 54.1 35.8 16.9 35.1 2.9 35.6 17.9 13.9 1.5 30.5 34.8 36.9 35.6 35.5 1.7 1.0 33.4 20.3 38.1 1.6 1.2 34.8 2.0 35.1 36.5 3.5 35.5 .2 36.3 .4 32.9 37.2 36.8 51.7 36.4 3.8 66.3 32.2 35.5 .7 45.4

Square kilometer 7.1 6.0 28.0 4.3 732.9 94.4 104.9 251.3 10.6 410.2 12.1 47.5 88.0 4.1 1.9 424.3 50.0 1.3 556.1 18.8 675.7 58.8 55.3 115.3 35.7 24.5 156.5 965.5 6.4 654.9 28.8 406.3 .8 6.5 17.9 17.5 273.0 14.5 1 182.9 129.3 397.7 8.2 33.1 3.5 5.0 5.6 198.9 199.6 7.4 36.9 11.5 633.8 513.0 13.0 313.5 8.2 15.7 337.4 14.4 910.0 .9 202.0 4.4 4.2 1.8 23.9 9.4 208.0 4.8 2.2 10.6 485.0 5.9

Square mile 18.5 15.5 72.4 11.1 895.3 244.1 273.9 648.4 27.5 076.7 31.2 126.7 220.0 10.6 4.9 091.1 132.5 3.5 418.0 48.7 763.1 152.2 141.8 296.4 93.6 63.5 407.0 2 413.8 16.6 1 673.7 74.7 1 015.8 2.1 16.9 46.4 45.2 715.5 37.6 3 073.0 334.9 1 034.0 21.2 85.9 9.2 12.9 14.5 526.5 499.0 19.1 95.8 29.8 1 663.8 1 282.5 33.8 815.0 21.3 40.6 886.9 37.4 2 730.0 2.2 505.0 11.5 10.8 4.5 61.9 24.3 531.1 12.3 5.6 27.6 1 247.1 15.3

Square kilometer 13.6 3.0 13.4 2.9 290.0 36.6 46.0 103.4 4.1 176.8 4.9 17.8 35.2 2.1 1.9 178.6 19.2 2.6 214.3 7.7 262.2 19.9 19.0 40.6 12.0 7.3 75.8 352.0 2.8 242.3 9.4 147.3 1.1 3.0 5.7 9.2 112.2 6.3 469.4 42.0 168.2 3.3 11.4 1.8 1.8 2.9 97.1 100.8 4.1 16.1 8.9 255.7 200.0 6.1 131.9 2.5 5.5 142.2 5.1 370.0 1.1 99.0 1.4 1.7 1.2 12.5 4.0 124.4 4.8 1.2 5.2 214.4 3.0

Square mile 35.3 7.8 34.6 7.4 750.0 94.7 120.0 266.8 10.7 464.2 12.6 47.3 88.0 5.4 5.0 459.1 51.0 6.7 546.5 20.0 684.1 51.6 48.8 104.3 31.4 18.9 197.0 880.0 7.3 619.3 24.4 368.3 2.8 7.8 14.7 23.8 294.1 16.3 1 219.4 108.8 437.3 8.6 29.6 4.6 4.7 7.5 257.1 252.0 10.7 41.7 23.1 671.3 500.0 15.8 343.0 6.5 14.2 373.7 13.2 1 110.0 2.8 247.5 3.5 4.4 3.1 32.5 10.4 317.6 12.5 3.0 13.6 551.4 7.8

2 10 7 4 2 1

2 9 7 4 2 1

1 8 6 4 2

1 4 2 1 1

1 3 2 1

2 2 1

1

1

3 2 1 11 5

3 2 1 9 5

3 2 1 4 2

1 1 4 2

1 1 3 1

1

1 1 1

1

1

19 1

16 1

1

1

1 1

1 1

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 62 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

62 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Perry town, Dane County Pershing town, Taylor County Peru town, Dunn County Peshtigo city, Marinette County Peshtigo town, Marinette County Pewaukee village, Waukesha County Pewaukee town, Waukesha County Phelps town, Vilas County Phillips city, Price County Piehl town, Oneida County Pierce town, Kewaunee County Pigeon town, Trempealeau County Pigeon Falls village, Trempealeau County Pilsen town, Bayfield County Pine Grove town, Portage County Pine Lake town, Oneida County Pine River town, Lincoln County Pine Valley town, Clark County Pittsfield town, Brown County Pittsville city, Wood County Plain village, Sauk County Plainfield village, Waushara County Plainfield town, Waushara County Platteville city, Grant County Platteville town, Grant County Pleasant Prairie village, Kenosha County Urban part Rural part Pleasant Prairie town, Kenosha County Pleasant Springs town, Dane County Pleasant Valley town, Eau Claire County Pleasant Valley town, St. Croix County Plover town, Marathon County Plover village, Portage County Plover town, Portage County Plum City village, Pierce County Plum Lake town, Vilas County Plymouth town, Juneau County Plymouth town, Rock County Plymouth city, Sheboygan County Plymouth town, Sheboygan County Polar town, Langlade County Polk town, Washington County Poplar village, Douglas County Popple River town, Forest County Portage city, Columbia County Port Edwards village, Wood County Port Edwards town, Wood County Porter town, Rock County Porterfield town, Marinette County Portland town, Dodge County Portland town, Monroe County Port Washington city, Ozaukee County Port Washington town, Ozaukee County Port Wing town, Bayfield County Potosi village, Grant County Potosi town, Grant County Potter village, Calumet County Potter Lake CDP, Walworth County Pound village, Marinette County Pound town, Marinette County Powers Lake CDP Kenosha County Walworth County Poygan town, Winnebago County Poynette village, Columbia County Poysippi town, Waushara County Prairie du Chien city, Crawford County Prairie du Chien town, Crawford County Prairie du Sac village, Sauk County Prairie du Sac town, Sauk County Prairie Farm village, Barron County 646 217 203 154 564 941 621 187 592 66 724 845 289 203 949 445 552 032 165 838 691 839 529 708 415 1980 632 276 194 807 566 637 922 129 522 94 790 876 338 222 762 656 463 137 219 810 676 813 574 580 309 … … … 12 703 2 529 1 908 360 553 5 310 2 330 505 408 644 1 267 6 027 3 068 827 3 486 569 59 7 896 2 077 1 387 940 1 857 976 755 8 612 1 436 525 736 1 104 … 1 068 407 1 412 1 162 842 320 898 1 447 913 5 859 694 2 145 1 010 387 1970 664 295 245 836 951 271 551 876 511 64 720 759 198 193 649 853 271 923 647 708 688 642 447 599 010 … … … 12 019 2 057 1 223 330 405 … 3 692 451 356 647 1 246 5 810 2 368 737 2 846 455 36 7 821 2 126 1 076 884 1 405 915 695 8 752 1 528 385 713 1 037 … … 284 1 297 … … … 734 1 118 823 5 540 591 1 902 723 426 1990 224 92 81 217 490 004 415 436 757 77 369 296 112 86 350 287 566 435 699 327 293 370 228 160 503 1980 209 106 71 052 349 785 683 278 726 60 344 278 130 85 287 262 475 393 634 297 244 336 230 938 441 … … … 4 221 949 605 110 203 1 805 788 188 706 215 405 2 446 947 277 1 212 210 131 3 327 684 439 318 721 352 254 3 027 459 282 268 342 … 393 156 486 844 612 232 476 567 371 2 297 466 836 319 179 1970 202 77 66 912 1 010 921 1 946 706 630 41 233 217 83 65 218 773 354 271 404 252 207 284 208 2 467 275 … … … 3 465 709 345 87 152 … 1 110 158 266 192 349 2 035 684 232 761 142 76 2 831 609 296 284 480 299 214 2 514 433 214 206 279 … … 120 398 … … … 398 352 311 1 894 230 631 211 136

Square kilometers 93.6 92.8 50.8 8.3 467.0 11.0 64.9 280.4 8.7 98.4 56.6 99.9 1.2 90.2 98.0 116.9 166.5 87.0 84.4 5.2 1.8 3.4 88.0 10.4 83.7 83.9 45.5 38.4 7.8 92.5 140.4 46.7 93.8 21.1 117.3 2.5 259.2 89.8 92.3 9.4 82.9 93.1 87.7 30.9 130.7 23.2 18.9 101.6 94.4 138.1 92.4 93.6 9.0 55.7 121.0 3.8 149.9 1.4 4.3 2.1 130.2 7.2 4.5 2.7 107.9 6.2 93.1 13.2 95.8 3.5 79.1 2.6

Square miles 36.1 35.8 19.6 3.2 180.3 4.3 25.0 108.3 3.4 38.0 21.9 38.6 .5 34.8 37.8 45.2 64.3 33.6 32.6 2.0 .7 1.3 34.0 4.0 32.3 32.4 17.6 14.8 3.0 35.7 54.2 18.0 36.2 8.1 45.3 1.0 100.1 34.7 35.6 3.6 32.0 35.9 33.9 11.9 50.5 9.0 7.3 39.2 36.4 53.3 35.7 36.1 3.5 21.5 46.7 1.5 57.9 .5 1.7 .8 50.3 2.8 1.7 1.0 41.7 2.4 35.9 5.1 37.0 1.4 30.5 1.0

Square kilometers 93.6 92.4 48.5 7.9 154.0 10.3 61.1 244.1 6.9 96.8 48.4 99.9 1.2 89.7 97.9 105.5 165.7 86.6 84.3 5.2 1.8 3.4 87.9 10.4 83.7 83.5 45.3 38.3 – 86.8 140.4 46.7 93.7 20.3 113.7 2.5 230.3 89.7 92.3 9.3 82.9 92.2 86.9 30.9 129.7 21.3 15.6 100.0 93.4 134.1 91.5 93.6 9.0 49.1 120.7 3.7 120.9 1.4 3.6 2.1 129.5 5.0 2.8 2.2 60.5 6.2 83.7 11.3 88.6 3.3 76.9 2.5

Square miles 36.1 35.7 18.7 3.0 59.4 4.0 23.6 94.3 2.6 37.4 18.7 38.6 .5 34.6 37.8 40.7 64.0 33.4 32.5 2.0 .7 1.3 34.0 4.0 32.3 32.3 17.5 14.8 – 33.5 54.2 18.0 36.2 7.8 43.9 1.0 88.9 34.6 35.6 3.6 32.0 35.6 33.6 11.9 50.1 8.2 6.0 38.6 36.1 51.8 35.3 36.1 3.5 19.0 46.6 1.4 46.7 .5 1.4 .8 50.0 1.9 1.1 .8 23.3 2.4 32.3 4.4 34.2 1.3 29.7 1.0

Square kilometer 6.9 2.3 4.2 399.2 23.1 479.7 157.5 4.9 230.7 .7 15.0 8.5 240.8 2.3 9.7 23.2 9.4 11.9 25.7 161.2 383.9 246.8 6.0 933.5 16.9 143.2 248.0 19.0 – 30.6 14.8 8.2 6.1 402.8 19.6 213.6 2.0 6.7 12.9 727.8 35.1 9.8 40.7 16.7 .3 405.6 118.5 13.5 10.2 13.5 10.9 7.8 1 037.6 30.1 3.6 176.8 8.0 180.0 304.4 206.7 10.7 208.8 268.6 132.7 13.6 268.1 11.1 500.8 10.5 721.2 16.5 197.6

Square mile 17.9 6.1 10.9 1 051.3 60.0 1 235.3 407.7 12.6 612.3 1.8 38.7 21.9 578.0 5.9 25.1 60.1 24.3 30.9 66.6 419.0 987.1 645.4 15.6 2 427.0 43.8 370.3 642.0 49.1 – 79.4 38.3 21.3 15.7 048.2 50.6 534.0 5.2 17.4 33.4 880.3 91.0 25.3 105.4 43.4 .8 053.7 308.0 35.0 26.4 34.8 28.2 20.3 668.0 77.9 9.3 467.1 20.6 504.0 782.9 542.5 27.7 549.5 683.6 365.0 35.4 692.5 28.8 1 286.1 27.1 1 830.8 42.8 494.0

Square kilometer 2.4 1.0 1.7 154.1 9.7 194.6 55.9 5.9 109.7 .8 7.6 3.0 93.3 1.0 3.6 12.2 3.4 5.0 8.3 62.9 162.8 108.8 2.6 303.8 6.0 52.1 90.4 6.6 – 12.2 5.0 2.7 2.4 146.7 6.9 88.8 3.0 2.7 4.4 302.9 12.0 3.8 14.1 6.6 .7 166.9 44.2 5.1 3.7 5.8 4.1 2.8 395.8 10.5 2.6 72.2 2.8 66.4 115.0 81.4 4.1 180.0 234.6 110.5 7.9 108.2 5.0 211.8 7.9 281.5 5.9 82.8

Square mile 6.2 2.6 4.3 405.7 25.1 501.0 144.7 15.2 291.2 2.1 19.7 7.7 224.0 2.5 9.3 31.6 8.8 13.0 21.5 163.5 418.6 284.6 6.7 790.0 15.6 134.6 234.0 17.0 – 31.6 13.0 7.1 6.2 381.8 17.9 222.0 7.8 7.1 11.4 782.5 31.1 9.7 36.4 17.1 1.9 433.7 114.8 13.1 9.6 15.1 10.5 7.2 1 017.7 27.3 6.7 190.7 7.3 186.0 295.7 213.8 10.5 473.7 597.3 303.8 20.5 279.6 13.0 543.9 20.5 714.6 15.4 207.0

3 3 4 9 1 1

2 3 4 8 1 1

2 2 3 7 1

1 1 2 3 1

1 1 1 2 1

2 1 1 2

2 1 1 2

1 1 1

1

1

9 1

9 1

9 1

3

2

11 961 11 235 726 37 2 660 2 076 384 568 8 176 2 223 534 465 601 1 189 6 769 2 911 900 3 540 516 42 8 640 1 848 1 351 953 1 805 994 733 9 338 1 480 434 654 963 252 1 096 434 1 386 1 044 752 292 824 1 662 929 5 659 927 2 380 1 271 494

4 347 4 095 252 11 1 057 705 128 225 2 978 784 222 693 244 407 2 817 996 346 1 224 203 95 3 556 689 505 347 780 371 261 3 562 518 313 267 341 93 414 171 527 900 657 243 478 671 419 2 393 700 929 457 207

1

1

1

2

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 63 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 63

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Prairie Farm town, Barron County Prairie Lake town, Barron County Prentice village, Price County Prentice town, Price County Prescott city, Pierce County Presque Isle town, Vilas County Preston town, Adams County Preston town, Trempealeau County Price town, Langlade County Primrose town, Dane County Princeton city, Green Lake County Princeton town, Green Lake County Pulaski village, Brown County Pulaski town, Iowa County Quincy town, Adams County Racine city, Racine County Radisson village, Sawyer County Radisson town, Sawyer County Randall town, Kenosha County Randolph village Columbia County Dodge County Randolph town, Columbia County Random Lake village, Sheboygan County Rantoul town, Calumet County Raymond town, Racine County Readstown village, Vernon County Red Cedar town, Dunn County Redgranite village, Waushara County Red River town, Kewaunee County Red Springs town, Shawano County Reedsburg city, Sauk County Reedsburg town, Sauk County Reedsville village, Manitowoc County Reeseville village, Dodge County Reid town, Marathon County Remington town, Wood County Reseburg town, Clark County Reserve CDP, Sawyer County Rewey village, Iowa County Rhine town, Sheboygan County Rhinelander city, Oneida County Rib Falls town, Marathon County Rib Lake village, Taylor County Rib Lake town, Taylor County Rib Mountain CDP, Marathon County Rib Mountain town, Marathon County Rice Lake city, Barron County Rice Lake town, Barron County Richfield town, Adams County Richfield town, Washington County Richfield town, Wood County Richford town, Waushara County Richland town, Richland County Richland town, Rusk County Richland Center city, Richland County Richmond town, St. Croix County Richmond town, Shawano County Richmond town, Walworth County Richwood town, Richland County Ridgeland village, Dunn County Ridgeville town, Monroe County Ridgeway village, Iowa County Ridgeway town, Iowa County Rietbrock town, Marathon County Ringle town, Marathon County Rio village, Columbia County Ripon city, Fond du Lac County Ripon town, Fond du Lac County River Falls city Pierce County St. Croix County 1 3 1 567 129 571 486 243 471 057 963 248 595 458 363 200 392 927 298 237 412 395 1 2 1 1980 634 076 605 547 654 390 967 112 243 654 479 287 875 462 639 725 280 394 155 1970 594 923 519 463 331 294 607 027 259 664 446 952 717 489 444 162 206 371 582 1990 204 762 246 299 195 123 847 340 112 212 656 080 877 155 468 156 128 320 191 672 188 484 230 584 253 102 216 487 474 552 353 485 383 463 267 400 195 220 227 102 900 293 266 355 405 646 945 520 985 109 980 384 244 467 114 290 467 633 805 271 144 174 244 1980 203 663 228 285 940 976 806 367 89 208 663 920 701 165 1 232 32 982 128 294 1 033 635 179 456 234 503 329 078 197 429 412 523 348 118 400 434 259 356 126 227 … 104 796 184 247 358 334 126 744 116 847 103 565 343 205 463 92 196 385 572 792 261 150 156 192 1970 164 484 176 181 673 552 380 312 93 162 590 725 519 141 552 31 042 91 209 773 538 170 368 203 344 309 954 183 283 259 418 227 689 328 340 202 225 118 197 … 86 437 815 200 271 243 911 329 440 559 83 692 267 153 371 63 971 271 470 622 220 114 175 150

Square kilometers 89.1 90.4 5.0 180.3 6.1 192.8 92.9 153.7 94.1 92.8 4.2 92.3 4.6 115.6 102.6 48.1 1.0 194.7 43.6 2.4 .6 1.7 91.6 4.1 84.4 92.2 4.6 109.4 5.2 93.6 94.5 9.6 83.5 2.4 1.5 109.3 185.3 93.1 138.7 1.3 90.1 13.6 93.0 6.0 193.9 33.8 66.2 19.5 73.1 91.8 94.3 90.2 90.0 84.1 60.0 9.2 88.6 89.1 93.2 110.0 1.1 88.7 3.3 110.7 88.1 109.1 2.8 10.6 83.2 10.6 7.4 3.2

Square miles 34.4 34.9 1.9 69.6 2.4 74.4 35.9 59.3 36.3 35.8 1.6 35.6 1.8 44.6 39.6 18.6 .4 75.2 16.8 .9 .2 .7 35.4 1.6 32.6 35.6 1.8 42.2 2.0 36.1 36.5 3.7 32.2 .9 .6 42.2 71.5 35.9 53.6 .5 34.8 5.2 35.9 2.3 74.9 13.1 25.6 7.5 28.2 35.5 36.4 34.8 34.7 32.5 23.2 3.5 34.2 34.4 36.0 42.5 .4 34.2 1.3 42.7 34.0 42.1 1.1 4.1 32.1 4.1 2.8 1.2

Square kilometers 89.1 85.8 5.0 179.9 5.2 159.0 91.7 153.7 93.7 92.8 4.2 91.6 4.5 112.2 85.0 40.0 1.0 192.0 41.9 2.4 .6 1.7 91.5 3.3 84.0 92.1 4.6 107.0 5.2 90.0 92.6 9.6 83.5 2.4 1.5 107.9 179.7 93.1 136.9 1.3 87.7 13.3 92.9 4.8 191.7 31.5 63.7 16.8 69.9 91.8 92.9 90.1 89.5 84.1 59.6 9.0 88.0 87.1 91.5 108.0 1.1 88.6 3.3 110.6 88.1 109.0 2.8 10.6 82.8 10.5 7.3 3.2

Square miles 34.4 33.1 1.9 69.4 2.0 61.4 35.4 59.3 36.2 35.8 1.6 35.3 1.8 43.3 32.8 15.4 .4 74.1 16.2 .9 .2 .7 35.3 1.3 32.4 35.6 1.8 41.3 2.0 34.7 35.8 3.7 32.2 .9 .6 41.6 69.4 35.9 52.9 .5 33.8 5.1 35.9 1.9 74.0 12.2 24.6 6.5 27.0 35.5 35.9 34.8 34.6 32.5 23.0 3.5 34.0 33.6 35.3 41.7 .4 34.2 1.3 42.7 34.0 42.1 1.1 4.1 32.0 4.0 2.8 1.2

Square kilometer 6.4 13.2 114.2 2.7 623.7 3.0 11.5 6.3 2.6 6.4 347.1 14.9 488.9 3.5 10.9 2 107.5 237.0 2.1 57.2 720.4 836.7 721.8 7.4 436.1 10.7 35.2 91.3 13.2 194.0 15.6 6.6 607.7 16.4 492.5 448.7 9.8 1.7 7.4 2.7 169.2 25.5 558.4 9.3 184.8 3.9 147.1 88.0 476.1 35.4 1.7 96.8 14.9 5.1 16.9 3.1 557.6 15.9 18.2 15.4 6.1 223.6 5.6 174.8 5.0 10.1 11.7 274.3 683.1 17.1 1 010.5 1 211.1 552.8

Square mile 16.5 34.1 300.5 7.0 1 621.5 7.7 29.9 16.2 6.9 16.6 911.3 38.6 1 222.2 9.1 28.3 5 473.9 592.5 5.6 147.8 1 921.1 2 510.0 1 752.9 19.2 1 106.9 27.6 91.1 233.3 34.3 504.5 40.5 17.2 1 576.8 42.5 1 313.3 1 121.7 25.4 4.4 19.1 7.0 440.0 66.1 1 456.3 24.0 466.8 10.1 379.8 227.8 1 230.5 91.6 4.5 250.5 38.6 13.2 43.8 8.0 1 433.7 41.2 47.2 39.8 15.9 615.0 14.5 443.8 13.0 26.1 30.4 698.2 1 766.1 44.3 2 652.5 3 157.5 1 474.2

Square kilometer 2.3 8.9 49.2 1.7 229.8 7.1 9.2 2.2 1.2 2.3 156.2 11.8 194.9 1.4 17.3 828.9 128.0 1.7 28.4 280.0 313.3 284.7 2.5 177.0 3.0 12.0 47.0 4.6 91.2 6.1 3.8 258.9 4.6 192.9 178.0 3.7 1.1 2.4 1.7 78.5 10.3 247.6 2.9 74.0 2.1 52.3 30.5 209.5 14.1 1.2 32.1 4.3 2.7 5.6 1.9 254.4 5.3 7.3 8.8 2.5 130.9 2.0 73.9 2.0 3.2 3.7 120.0 264.5 6.1 335.7 384.9 223.4

Square mile 5.9 23.0 129.5 4.3 597.5 18.3 23.9 5.7 3.1 5.9 410.0 30.6 487.2 3.6 44.8 2 153.0 320.0 4.3 73.5 746.7 940.0 691.4 6.5 449.2 7.8 31.0 120.0 11.8 237.0 15.9 9.9 671.6 11.9 514.4 445.0 9.6 2.8 6.1 4.3 204.0 26.6 645.7 7.4 186.8 5.5 134.9 79.1 541.5 36.5 3.1 83.0 11.0 7.1 14.4 5.0 654.3 13.7 18.8 22.8 6.5 360.0 5.1 187.7 5.2 8.3 9.6 305.5 683.9 15.9 881.3 1 003.6 595.8

2 1

1 1

1 1 2 84 2

1 1 1 85 2

1 1 95 1

1 1 33 1

1 729 502 1 227 676 1 439 895 3 243 420 1 417 1 009 1 407 614 5 834 1 367 1 182 673 1 057 304 687 371 220 2 235 7 427 860 887 746 4 634 5 605 7 998 2 473 159 8 993 1 344 455 1 423 185 5 018 1 400 1 587 1 405 662 246 497 577 557 888 1 279 768 7 241 1 419 10 610 8 841 1 769

1 691 485 1 206 700 1 287 1 184 3 610 396 1 278 976 1 431 524 5 038 1 468 1 134 649 957 299 761 … 233 1 910 7 873 851 945 682 6 005 5 344 7 691 2 372 183 8 390 1 235 404 1 442 217 4 997 1 338 1 543 1 649 654 300 530 503 564 981 1 097 785 7 111 1 411 r9 019 7 521 r1 498

1 582 493 1 089 729 1 068 1 243 3 735 395 935 645 1 308 474 4 585 1 442 994 566 711 319 742 … 232 1 386 8 218 759 782 615 6 399 4 785 7 278 1 667 165 5 923 1 054 322 1 283 196 5 086 1 091 1 397 1 251 640 266 590 463 521 1 020 690 792 7 053 1 186 7 238 6 247 991

1

1

2

2

1

3

3

2

1 1 3 2

2 1 3 2

1 1 2 1

2

2

1

221 282 405 336 2 804 508 3 525 2 810 715

199 266 333 336 2 623 463 r2 688 2 159 r529

132 253 192 282 2 162 373 1 835 1 547 288

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 64 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

64 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 River Falls town, Pierce County River Hills village, Milwaukee County Riverview town, Oconto County Roberts village, St. Croix County Rochester village, Racine County Rochester town, Racine County Rock town, Rock County Rock town, Wood County Rockbridge town, Richland County Rock Creek town, Dunn County Rockdale village, Dane County Rock Elm town, Pierce County Rock Falls town, Lincoln County Rockland town, Brown County Rockland village, La Crosse County Rockland town, Manitowoc County Rock Springs village, Sauk County Rolling town, Langlade County Rome town, Adams County Roosevelt town, Burnett County Roosevelt town, Taylor County Rose town, Waushara County Rosendale village, Fond du Lac County Rosendale town, Fond du Lac County Rosholt village, Portage County Ross town, Forest County Rothschild village, Marathon County Round Lake town, Sawyer County Roxbury town, Dane County Royalton town, Waupaca County Rubicon town, Dodge County Ruby town, Chippewa County Rudolph village, Wood County Rudolph town, Wood County Rushford town, Winnebago County Rush River town, St. Croix County Rusk town, Burnett County Rusk town, Rusk County Russell town, Bayfield County Russell town, Lincoln County Russell town, Sheboygan County Rutland town, Dane County St. Cloud village, Fond du Lac County St. Croix Falls city, Polk County St. Croix Falls town, Polk County St. Francis city, Milwaukee County St. Germain town, Vilas County St. Joseph town, St. Croix County St. Lawrence town, Waupaca County St. Marie town, Green Lake County St. Nazianz village, Manitowoc County Salem town, Kenosha County Salem town, Pierce County Sampson town, Chippewa County Sanborn town, Ashland County Sand Creek town, Dunn County Sand Lake town, Burnett County Sand Lake town, Sawyer County Saratoga town, Wood County Sarona town, Washburn County Sauk City village, Sauk County Saukville village, Ozaukee County Saukville town, Ozaukee County Saxeville town, Waushara County Saxon town, Iron County Scandinavia village, Waupaca County Scandinavia town, Waupaca County Schleswig town, Manitowoc County Schley town, Lincoln County Schoepke town, Oneida County Schofield city, Marathon County 1 944 1 612 483 1 043 978 1 844 3 172 764 662 696 235 519 463 974 509 911 432 1 316 1 674 175 429 486 777 770 512 159 310 727 536 458 709 1980 2 168 1 642 417 833 746 1 478 3 399 745 662 668 200 654 434 882 383 936 426 1 236 1 110 178 491 515 725 763 520 203 338 786 491 432 759 1970 1 642 1 561 321 484 436 1 019 3 050 607 654 632 172 638 423 983 278 971 432 914 368 177 518 319 464 710 466 178 141 557 427 205 564 1990 644 583 1 326 389 346 636 1 155 295 263 254 92 194 336 311 157 372 165 467 1 662 153 187 314 271 276 213 195 1 254 917 545 604 534 196 166 404 552 151 325 448 416 280 131 546 190 735 486 3 980 1 978 974 315 165 271 3 326 176 705 432 257 419 1 125 1 693 237 1 254 1 273 606 585 194 145 422 779 326 577 1 076 1980 742 545 1 180 281 276 487 1 050 267 251 226 80 203 328 245 120 360 154 406 1 172 125 198 274 241 254 218 216 1 154 878 472 560 499 163 135 394 513 154 281 394 319 295 121 484 190 642 410 r3 882 1 666 759 259 129 262 2 870 184 692 296 226 364 938 1 430 162 1 020 1 119 514 500 184 133 374 709 291 622 899 1970 477 443 683 143 149 320 754 197 210 177 68 180 251 211 80 299 150 252 250 93 153 150 152 208 174 123 889 495 356 428 368 152 88 335 440 119 149 229 175 251 114 337 146 490 323 2 992 497 437 203 93 188 2 529 151 529 241 193 221 590 855 144 770 445 442 409 162 117 210 584 259 397 769

Square kilometers 116.7 13.6 185.8 .9 1.3 44.8 79.2 89.5 93.7 81.8 .6 92.8 127.5 59.2 1.2 92.1 3.5 94.4 161.4 91.6 89.4 90.5 2.7 92.4 2.8 100.0 5.3 306.1 93.0 93.5 90.5 138.8 2.5 77.3 92.1 46.4 89.9 92.9 259.4 94.1 62.5 91.9 2.4 7.8 83.6 6.6 103.7 89.4 90.6 86.8 2.1 84.8 91.6 176.5 416.4 93.6 93.8 133.6 132.5 86.3 3.8 6.3 87.8 94.7 171.1 2.6 89.2 88.7 125.2 131.0 7.3

Square miles 45.1 5.3 71.7 .4 .5 17.3 30.6 34.5 36.2 31.6 .2 35.8 49.2 22.9 .5 35.5 1.3 36.5 62.3 35.4 34.5 34.9 1.0 35.7 1.1 38.6 2.0 118.2 35.9 36.1 34.9 53.6 1.0 29.9 35.6 17.9 34.7 35.9 100.2 36.3 24.1 35.5 .9 3.0 32.3 2.5 40.0 34.5 35.0 33.5 .8 32.7 35.4 68.2 160.8 36.2 36.2 51.6 51.2 33.3 1.5 2.4 33.9 36.6 66.1 1.0 34.4 34.3 48.4 50.6 2.8

Square kilometers 116.7 13.2 180.6 .9 1.2 44.3 77.8 89.4 93.7 79.8 .6 92.8 123.8 57.8 1.2 89.4 3.5 94.4 140.5 91.0 89.1 90.4 2.7 92.3 2.8 99.7 4.5 283.1 89.6 87.6 89.4 138.5 2.5 77.3 90.8 46.4 84.5 86.8 129.1 93.7 59.8 91.5 2.4 7.5 81.2 6.6 86.4 83.2 89.9 86.8 2.1 77.7 91.6 161.9 405.1 92.6 84.8 120.1 128.0 82.7 3.5 6.2 86.1 93.4 171.0 2.2 88.1 86.9 124.6 119.3 4.6

Square miles 45.1 5.1 69.7 .4 .5 17.1 30.1 34.5 36.2 30.8 .2 35.8 47.8 22.3 .5 34.5 1.3 36.4 54.3 35.1 34.4 34.9 1.0 35.7 1.1 38.5 1.8 109.3 34.6 33.8 34.5 53.5 1.0 29.8 35.1 17.9 32.6 33.5 49.8 36.2 23.1 35.3 .9 2.9 31.4 2.5 33.4 32.1 34.7 33.5 .8 30.0 35.4 62.5 156.4 35.8 32.8 46.4 49.4 31.9 1.4 2.4 33.2 36.1 66.0 .9 34.0 33.6 48.1 46.1 1.8

Square kilometer 16.7 122.1 2.7 1 158.9 815.0 41.6 40.8 8.5 7.1 8.7 391.7 5.6 3.7 16.9 424.2 10.2 123.4 13.9 11.9 1.9 4.8 5.4 287.8 8.3 182.9 1.6 735.6 2.6 17.1 16.6 19.1 3.4 180.4 15.3 15.0 9.0 4.7 5.1 7.6 7.2 6.1 17.3 205.8 218.7 12.7 1 400.8 15.3 31.9 7.8 4.0 330.0 92.0 5.6 5.0 2.5 6.1 5.2 6.8 37.3 4.7 862.6 596.0 20.4 9.1 2.0 135.5 10.1 18.9 6.7 3.2 525.0

Square mile 43.1 316.1 6.9 2 607.5 1 956.0 107.8 105.4 22.1 18.3 22.6 1 175.0 14.5 9.7 43.7 1 018.0 26.4 332.3 36.2 30.8 5.0 12.5 13.9 777.0 21.6 465.5 4.1 1 838.9 6.7 44.4 43.1 49.5 8.7 451.0 39.6 38.8 23.4 12.1 13.2 19.6 18.5 15.7 44.9 548.9 565.5 32.9 3 698.0 39.5 82.8 20.1 10.4 866.3 238.2 14.5 13.1 6.4 15.9 13.4 17.7 96.7 12.3 2 156.4 1 539.6 52.8 23.4 5.1 331.1 26.2 48.8 17.4 8.2 1 341.7

Square kilometer 5.5 44.2 7.3 432.2 288.3 14.4 14.8 3.3 2.8 3.2 153.3 2.1 2.7 5.4 130.8 4.2 47.1 4.9 11.8 1.7 2.1 3.5 100.4 3.0 76.1 2.0 278.7 3.2 6.1 6.9 6.0 1.4 66.4 5.2 6.1 3.3 3.8 5.2 3.2 3.0 2.2 6.0 79.2 98.0 6.0 603.0 22.9 11.7 3.5 1.9 129.0 42.8 1.9 4.4 1.1 2.8 4.9 9.4 13.2 2.9 358.3 205.3 7.0 6.3 1.1 65.9 4.8 9.0 2.6 4.8 233.9

Square mile 14.3 114.3 19.0 972.5 692.0 37.2 38.4 8.6 7.3 8.2 460.0 5.4 7.0 13.9 314.0 10.8 126.9 12.8 30.6 4.4 5.4 9.0 271.0 7.7 193.6 5.1 696.7 8.4 15.8 17.9 15.5 3.7 166.0 13.6 15.7 8.4 10.0 13.4 8.4 7.7 5.7 15.5 211.1 253.4 15.5 1 592.0 59.2 30.3 9.1 4.9 338.8 110.9 5.0 11.3 2.8 7.2 12.8 24.2 34.3 7.4 895.7 530.4 18.3 16.2 2.9 161.1 12.4 23.2 6.8 12.5 597.8

3 1 1 1

3 1 1 1

3 1 1 1

464 451 1 180 1 361 419 396 443 978 671 362 1 584 494 1 640 1 034 9 245 1 319 2 657 697 348 693 7 146 514 817 998 568 439 821 4 775 391 3 019 3 695 1 754 846 335 298 890 1 641 838 378 2 415

514 392 1 385 1 420 476 349 422 791 668 429 1 393 560 1 497 873 r10 095 1 176 2 180 608 310 738 6 292 616 805 834 575 422 768 4 363 394 2 703 3 494 1 583 776 362 292 772 1 633 818 399 2 226

469 349 1 340 1 415 439 211 372 475 635 482 1 197 550 1 425 783 10 489 473 1 357 517 320 718 5 555 498 724 662 579 306 598 2 978 352 2 385 1 389 1 516 612 371 268 519 1 542 811 358 2 577

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 65 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 65

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Scott town, Brown County Scott town, Burnett County Scott town, Columbia County Scott town, Crawford County Scott town, Lincoln County Scott town, Monroe County Scott town, Sheboygan County Seif town, Clark County Seneca town, Crawford County Seneca town, Green Lake County Seneca town, Shawano County Seneca town, Wood County Sevastopol town, Door County Seven Mile Creek town, Juneau County Seymour CDP, Eau Claire County Seymour town, Eau Claire County Seymour town, Lafayette County Seymour city, Outagamie County Seymour town, Outagamie County Shanagolden town, Ashland County Sharon town, Portage County Sharon village, Walworth County Sharon town, Walworth County Shawano city, Shawano County Sheboygan city, Sheboygan County Sheboygan town, Sheboygan County Sheboygan Falls city, Sheboygan County Sheboygan Falls town, Sheboygan County Shelby town, La Crosse County Sheldon town, Monroe County Sheldon village, Rusk County Shell Lake city, Washburn County Sheridan town, Dunn County Sherman town, Clark County Sherman town, Dunn County Sherman town, Iron County Sherman town, Sheboygan County Sherry town, Wood County Sherwood village, Calumet County Sherwood town, Clark County Shields town, Dodge County Shields town, Marquette County Shiocton village, Outagamie County Shorewood village, Milwaukee County Shorewood Hills village, Dane County Shullsburg city, Lafayette County Shullsburg town, Lafayette County Sigel town, Chippewa County Sigel town, Wood County Silver Cliff town, Marinette County Silver Lake village, Kenosha County Sioux Creek town, Barron County Siren village, Burnett County Siren town, Burnett County Sister Bay village, Door County Skanawan town, Lincoln County Slinger village, Washington County Smelser town, Grant County Soldiers Grove village, Crawford County Solon Springs village, Douglas County Solon Springs town, Douglas County Somers town, Kenosha County Somerset village, St. Croix County Somerset town, St. Croix County Somo town, Lincoln County South Fork town, Rusk County South Lancaster town, Grant County South Milwaukee city, Milwaukee County South Wayne village, Lafayette County Sparta city, Monroe County 2 044 419 639 453 1 210 120 1 671 211 873 395 538 1 133 2 552 383 1 557 2 757 401 2 782 1 217 172 1 1 1 7 49 3 5 1 5 742 250 016 598 676 866 823 908 151 521 1980 1 929 409 602 472 1 149 117 1 625 254 832 383 525 1 245 2 520 362 … 2 824 497 2 530 1 189 174 1 694 1 280 945 7 013 48 085 3 962 5 253 2 281 5 620 524 292 1 135 476 766 666 336 1 445 790 372 173 584 419 805 327 837 484 455 782 332 267 1970 1 969 252 585 478 1 046 78 1 451 162 858 366 532 1 077 2 035 376 … 2 362 615 2 194 1 135 148 1 1 1 6 48 4 4 2 4 304 216 058 488 484 246 771 280 600 540 1990 801 783 235 185 423 55 580 93 397 164 247 383 1 427 155 607 1 025 126 1 059 360 184 666 466 352 249 588 419 303 686 000 166 121 782 172 224 258 539 461 252 325 142 179 268 363 6 701 664 543 127 252 400 880 790 225 456 703 859 193 899 251 238 384 587 3 178 417 722 104 103 256 8 428 202 3 266 1980 782 733 215 189 378 48 673 100 329 147 227 367 1 308 135 … 982 139 975 337 128 571 443 311 932 818 317 983 761 939 178 123 729 159 209 228 512 438 243 130 104 180 258 298 6 518 647 572 138 235 399 733 673 224 420 650 493 185 544 271 259 361 486 2 970 318 583 96 72 261 7 458 191 2 839 1970 717 427 171 136 297 31 445 72 258 118 176 257 1 006 118 … 701 139 724 280 84 366 390 294 334 481 242 565 660 259 155 99 560 141 181 172 282 417 199 97 76 171 167 242 6 017 626 468 130 168 340 305 504 184 322 372 292 136 339 210 221 340 404 2 179 232 297 68 70 224 6 762 154 2 248

Square kilometers 140.7 88.6 92.8 92.4 80.2 94.7 94.6 93.3 169.7 85.0 94.9 84.1 233.3 94.2 8.1 84.0 93.6 6.5 79.0 232.8 168.0 2.3 92.2 13.6 34.6 29.5 7.8 86.0 76.7 91.5 1.7 26.5 93.5 90.6 91.6 353.7 88.9 91.6 6.3 93.1 69.8 81.5 4.2 4.1 2.1 2.9 90.6 93.9 92.1 277.2 4.0 91.3 2.7 93.5 7.9 93.0 5.8 91.0 9.2 6.0 218.9 84.5 4.4 129.7 93.8 92.7 88.3 12.4 1.4 12.9

Square miles 54.3 34.2 35.8 35.7 30.9 36.6 36.5 36.0 65.5 32.8 36.7 32.5 90.1 36.4 3.1 32.4 36.1 2.5 30.5 89.9 64.9 .9 35.6 5.3 13.4 11.4 3.0 33.2 29.6 35.3 .7 10.2 36.1 35.0 35.4 136.6 34.3 35.4 2.4 36.0 27.0 31.5 1.6 1.6 .8 1.1 35.0 36.3 35.5 107.0 1.5 35.2 1.0 36.1 3.0 35.9 2.3 35.1 3.6 2.3 84.5 32.6 1.7 50.1 36.2 35.8 34.1 4.8 .5 5.0

Square kilometers 51.1 71.8 92.8 92.4 78.9 87.9 93.7 93.3 151.8 84.8 94.7 83.6 134.3 94.2 6.3 81.2 93.5 6.5 79.0 231.3 166.5 2.3 92.2 13.5 34.3 29.4 7.6 85.9 67.5 91.5 1.7 16.0 93.5 90.6 91.4 305.5 88.8 91.3 6.3 92.6 68.7 80.8 4.2 4.1 2.1 2.9 90.6 93.8 92.0 275.5 4.0 90.5 2.6 81.6 6.7 91.7 5.8 91.0 9.2 4.1 215.0 84.5 4.4 124.5 93.8 91.7 88.3 12.4 1.4 12.7

Square miles 19.7 27.7 35.8 35.7 30.5 33.9 36.2 36.0 58.6 32.7 36.6 32.3 51.9 36.4 2.4 31.3 36.1 2.5 30.5 89.3 64.3 .9 35.6 5.2 13.2 11.4 2.9 33.2 26.1 35.3 .7 6.2 36.1 35.0 35.3 118.0 34.3 35.3 2.4 35.7 26.5 31.2 1.6 1.6 .8 1.1 35.0 36.2 35.5 106.4 1.5 34.9 1.0 31.5 2.6 35.4 2.2 35.1 3.6 1.6 83.0 32.6 1.7 48.1 36.2 35.4 34.1 4.8 .5 4.9

Square kilometer 40.0 5.8 6.9 4.9 15.3 1.4 17.8 2.3 5.8 4.7 5.7 13.6 19.0 4.1 247.1 34.0 4.3 428.0 15.4 .7 10.5 543.5 11.0 562.8 1 448.3 131.5 766.2 22.2 76.3 5.7 157.6 72.6 5.0 8.1 7.9 .9 16.5 8.6 132.9 2.1 7.3 5.0 217.4 3 442.9 800.0 426.2 4.0 7.8 13.0 .9 450.3 7.0 331.9 11.2 100.7 3.4 403.4 8.4 61.3 140.2 2.9 93.0 242.0 15.9 1.2 1.3 10.2 1 690.2 341.4 613.2

Square mile 103.8 15.1 17.8 12.7 39.7 3.5 46.2 5.9 14.9 12.1 14.7 35.1 49.2 10.5 648.8 88.1 11.1 1 112.8 39.9 1.9 27.1 1 388.9 28.5 1 461.2 3 763.3 339.1 2 007.9 57.5 197.4 14.8 382.9 187.3 13.0 21.0 20.5 2.3 42.6 22.3 348.8 5.5 18.9 13.1 570.6 8 822.5 2 100.0 1 123.6 10.4 20.3 33.6 2.4 1 200.7 18.2 863.0 28.9 259.6 8.8 1 063.6 21.7 156.7 359.4 7.5 241.1 626.5 41.1 3.2 3.4 26.5 4 366.3 956.0 1 589.4

Square kilometer 15.7 10.9 2.5 2.0 5.4 .6 6.2 1.0 2.6 1.9 2.6 4.6 10.6 1.6 96.3 12.6 1.3 162.9 4.6 .8 4.0 202.6 3.8 240.7 600.2 48.3 303.0 8.0 29.6 1.8 71.2 48.9 1.8 2.5 2.8 1.8 5.2 2.8 51.6 1.5 2.6 3.3 86.4 1 634.4 316.2 187.2 1.4 2.7 4.3 3.2 197.5 2.5 175.4 8.6 128.2 2.1 155.0 2.8 25.9 93.7 2.7 37.6 94.8 5.8 1.1 1.1 2.9 679.7 144.3 257.2

Square mile 40.7 28.3 6.6 5.2 13.9 1.6 16.0 2.6 6.8 5.0 6.7 11.9 27.5 4.3 252.9 32.7 3.5 423.6 11.8 2.1 10.4 517.8 9.9 624.8 1 559.7 124.5 794.1 20.7 76.6 4.7 172.9 126.1 4.8 6.4 7.3 4.6 13.4 7.1 135.4 4.0 6.8 8.6 226.9 4 188.1 830.0 493.6 3.6 7.0 11.3 8.3 526.7 6.4 456.0 22.3 330.4 5.5 408.6 7.2 66.1 240.0 7.1 97.5 245.3 15.0 2.9 2.9 7.5 1 755.8 404.0 666.5

3 20 1 2 2

2 18 1 1 1

2 16 1 1 1

268 1 161 468 736 725 267 1 461 787 837 195 500 408 913 116 680 236 363 736 192 259

218 928 426 674 580 152 1 436 742 350 199 602 384 830 576 206 376 571 654 358 189

14 1 1 1

14 1 1 1

15 2 1 1

1 801 635 863 910 675 312 2 340 763 564 575 619 7 861 1 065 1 975 116 119 905 20 958 478 7 788

1 598 643 896 887 564 256 1 612 970 622 590 553 7 724 860 1 833 150 146 1 032 21 069 495 6 934

1 210 563 639 550 483 175 1 216 907 514 598 471 7 270 778 1 185 113 204 1 187 23 297 436 6 258

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 66 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

66 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Sparta town, Monroe County Spencer village, Marathon County Spencer town, Marathon County Spider Lake town, Sawyer County Spirit town, Price County Spooner city, Washburn County Spooner town, Washburn County Spring Brook town, Dunn County Springbrook town, Washburn County Springdale town, Dane County Springfield town, Dane County Springfield town, Jackson County Springfield town, Marquette County Springfield town, St. Croix County Spring Green village, Sauk County Spring Green town, Sauk County Spring Grove town, Green County Spring Lake town, Pierce County Spring Prairie town, Walworth County Springvale town, Columbia County Springvale town, Fond du Lac County Spring Valley village Pierce County St. Croix County Spring Valley town, Rock County Springville town, Adams County Springwater town, Waushara County Spruce town, Oconto County Stanfold town, Barron County Stanley town, Barron County Stanley city, Chippewa County Stanton town, Dunn County Stanton town, St. Croix County Stark town, Vernon County Star Prairie village, St. Croix County Star Prairie town, St. Croix County Stella town, Oneida County Stephenson town, Marinette County Sterling town, Polk County Sterling town, Vernon County Stetsonville village, Taylor County Stettin town, Marathon County Steuben village, Crawford County Stevens Point city, Portage County Stiles town, Oconto County Stinnett town, Washburn County Stockbridge village, Calumet County Stockbridge town, Calumet County Stockholm village, Pepin County Stockholm town, Pepin County Stockton town, Portage County Stoddard village, Vernon County Stone Lake town, Washburn County Stoughton city, Dane County Stratford village, Marathon County Strickland town, Rusk County Strongs Prairie town, Adams County Strum village, Trempealeau County Stubbs town, Rusk County Sturgeon Bay city, Door County Sturgeon Bay town, Door County Sturtevant village, Racine County Suamico town, Brown County Sugar Camp town, Oneida County Sugar Creek town, Walworth County Sullivan village, Jefferson County Sullivan town, Jefferson County Summit town, Douglas County Summit town, Juneau County Summit town, Langlade County Summit town, Waukesha County Sumner town, Barron County Sumner town, Jefferson County 2 385 1 757 1 036 362 345 2 464 644 1 293 403 1 258 2 650 476 480 772 1 283 1 329 745 565 1 752 466 750 1 051 1 051 – 790 785 1 088 776 644 2 087 2 011 637 1 042 259 507 2 098 525 2 288 591 598 511 2 191 161 23 006 1 243 202 579 1 317 89 173 2 494 775 446 8 786 1 515 262 1 028 949 573 9 176 853 3 803 5 214 1 375 2 661 432 1 929 1 009 600 190 4 003 550 822 1980 2 317 1 754 989 331 379 2 365 600 1 293 441 1 279 2 379 475 501 816 1 265 1 139 819 613 1 777 521 808 r982 982 r– 912 584 924 805 721 813 095 553 083 322 420 900 489 137 497 626 487 436 175 970 261 179 567 248 104 168 208 762 379 589 385 281 876 944 612 847 863 130 003 337 599 434 646 057 721 197 050 556 973 1970 1 983 1 181 972 259 342 2 444 351 1 168 410 1 132 1 947 469 322 811 1 199 862 798 611 1 197 504 744 995 995 … 852 449 584 818 757 064 049 527 975 356 362 390 299 202 379 664 305 199 179 479 845 134 582 285 99 211 537 750 339 096 239 262 720 738 633 776 641 376 830 816 811 467 159 905 566 186 809 465 954 1990 782 752 355 945 206 1 151 380 461 267 452 897 190 424 268 522 588 261 193 629 181 267 431 431 – 269 815 1 108 553 249 805 880 221 353 144 201 761 316 3 786 448 253 211 801 70 8 627 566 105 257 575 80 85 839 324 283 3 404 584 140 988 388 313 4 049 546 1 337 1 786 1 269 1 060 177 706 551 248 135 1 596 215 541 1980 687 701 303 786 258 1 048 369 427 253 403 718 166 428 263 487 508 251 198 591 177 256 401 400 1 277 489 1 358 508 237 663 850 186 340 135 163 631 258 3 255 349 243 209 1 661 71 7 874 522 84 224 547 85 78 710 295 225 2 852 537 138 615 361 292 3 630 525 1 301 1 284 920 1 011 171 575 536 262 100 r1 503 202 589 1970 512 405 247 379 175 930 182 323 192 317 484 149 283 235 404 281 231 179 372 155 219 332 332 … 246 243 633 402 219 374 749 168 263 116 122 412 158 673 216 220 115 278 69 171 308 66 187 431 76 79 438 256 169 035 396 109 362 264 276 507 474 899 842 650 739 149 366 432 175 69 340 176 533

Square kilometers 127.9 4.7 82.6 282.0 107.8 7.7 54.4 160.9 89.8 92.7 94.3 94.6 90.5 89.5 3.0 120.1 103.1 81.4 92.8 106.3 93.3 10.9 7.9 3.0 90.9 115.7 90.4 92.5 93.1 85.9 7.8 87.7 91.2 89.2 5.3 87.3 96.6 458.1 166.9 117.7 1.1 99.0 16.0 37.0 91.2 92.3 8.2 173.7 2.5 56.3 149.8 1.8 90.2 8.1 13.8 90.9 134.5 3.0 94.9 29.2 91.2 6.0 153.6 253.8 89.8 2.9 92.0 382.2 95.7 94.3 75.2 92.4 81.0

Square miles 49.4 1.8 31.9 108.9 41.6 3.0 21.0 62.1 34.7 35.8 36.4 36.5 34.9 34.6 1.2 46.4 39.8 31.4 35.8 41.1 36.0 4.2 3.1 1.1 35.1 44.7 34.9 35.7 36.0 33.1 3.0 33.9 35.2 34.4 2.0 33.7 37.3 176.9 64.4 45.5 .4 38.2 6.2 14.3 35.2 35.7 3.2 67.0 1.0 21.7 57.8 .7 34.8 3.1 5.3 35.1 51.9 1.2 36.6 11.3 35.2 2.3 59.3 98.0 34.7 1.1 35.5 147.6 36.9 36.4 29.0 35.7 31.3

Square kilometers 127.9 4.7 82.1 257.1 106.5 7.5 49.3 157.4 88.5 92.7 93.9 94.5 89.6 88.9 3.0 115.4 103.1 81.4 92.6 106.2 93.3 9.0 7.7 1.2 90.9 113.7 87.0 91.1 93.0 84.4 7.7 87.7 88.9 89.2 5.3 83.9 91.5 439.5 164.2 117.7 1.1 98.4 16.0 34.6 89.0 89.2 8.2 87.5 2.4 39.8 149.5 1.6 87.2 7.8 13.7 89.9 122.8 2.8 92.9 24.8 50.1 6.0 93.9 230.1 87.7 2.9 89.8 379.7 95.6 94.3 68.0 92.4 42.2

Square miles 49.4 1.8 31.7 99.3 41.1 2.9 19.0 60.8 34.2 35.8 36.2 36.5 34.6 34.3 1.2 44.5 39.8 31.4 35.8 41.0 36.0 3.5 3.0 .5 35.1 43.9 33.6 35.2 35.9 32.6 3.0 33.9 34.3 34.4 2.0 32.4 35.3 169.7 63.4 45.5 .4 38.0 6.2 13.4 34.4 34.4 3.2 33.8 .9 15.4 57.7 .6 33.7 3.0 5.3 34.7 47.4 1.1 35.9 9.6 19.4 2.3 36.2 88.8 33.9 1.1 34.7 146.6 36.9 36.4 26.2 35.7 16.3

Square kilometer 18.6 373.8 12.6 1.4 3.2 328.5 13.1 8.2 4.6 13.6 28.2 5.0 5.4 8.7 427.7 11.5 7.2 6.9 18.9 4.4 8.0 116.8 136.5 – 8.7 6.9 12.5 8.5 6.9 24.7 261.2 7.3 11.7 2.9 95.7 25.0 5.7 5.2 3.6 5.1 464.5 22.3 10.1 664.9 14.0 2.3 70.6 15.1 37.1 4.3 16.7 484.4 5.1 1 126.4 110.6 2.9 8.4 338.9 6.2 370.0 17.0 633.8 55.5 6.0 30.3 149.0 21.5 2.7 6.3 2.0 58.9 6.0 19.5

Square mile 48.3 976.1 32.7 3.6 8.4 849.7 33.9 21.3 11.8 35.1 73.2 13.0 13.9 22.5 1 069.2 29.9 18.7 18.0 48.9 11.4 20.8 300.3 350.3 – 22.5 17.9 32.4 22.0 17.9 64.0 670.3 18.8 30.4 7.5 253.5 64.8 14.9 13.5 9.3 13.1 277.5 57.7 26.0 716.9 36.1 5.9 180.9 39.0 98.9 11.2 43.2 291.7 13.2 928.7 285.8 7.6 21.7 862.7 16.0 955.8 44.0 653.5 144.0 15.5 78.5 392.7 55.6 6.9 16.3 5.2 152.8 15.4 50.4

Square kilometer 6.1 160.0 4.3 3.7 1.9 153.5 7.7 2.9 3.0 4.9 9.6 2.0 4.7 3.0 174.0 5.1 2.5 2.4 6.8 1.7 2.9 47.9 56.0 – 3.0 7.2 12.7 6.1 2.7 9.5 114.3 2.5 4.0 1.6 37.9 9.1 3.5 8.6 2.7 2.1 191.8 8.1 4.4 249.3 6.4 1.2 31.3 6.6 33.3 2.1 5.6 202.5 3.2 436.4 42.6 1.6 8.0 138.6 3.4 163.3 10.9 222.8 19.0 5.5 12.1 61.0 7.9 1.5 2.6 1.4 23.5 2.3 12.8

Square mile 15.8 417.8 11.2 9.5 5.0 396.9 20.0 7.6 7.8 12.6 24.8 5.2 12.3 7.8 435.0 13.2 6.6 6.1 17.6 4.4 7.4 123.1 143.7 – 7.7 18.6 33.0 15.7 6.9 24.7 293.3 6.5 10.3 4.2 100.5 23.5 9.0 22.3 7.1 5.6 527.5 21.1 11.3 643.8 16.5 3.1 80.3 17.0 88.9 5.5 14.5 540.0 8.4 1 134.7 110.2 4.0 20.8 352.7 8.7 421.8 28.1 581.3 49.3 14.3 31.3 160.9 20.3 3.8 6.7 3.7 60.9 6.0 33.2

1 2 1

1 2

1 2

1 2

1

1 1

4 22 1

4 23

1 6

1 2 7 1

1 1 6 1

1 2

2

8 4 4 1 2 1 1 r4

6 3 2 1 1

2

1

3

1

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 67 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 67

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Sumner town, Trempealeau County Sumpter town, Sauk County Sun Prairie city, Dane County Sun Prairie town, Dane County Superior city, Douglas County Superior village, Douglas County Superior town, Douglas County Suring village, Oconto County Sussex village, Waukesha County Swiss town, Burnett County Sylvan town, Richland County Sylvester town, Green County Taft town, Taylor County Tainter town, Dunn County Tainter Lake CDP, Dunn County Taycheedah town, Fond du Lac County Taylor village, Jackson County Tennyson village, Grant County Texas town, Marathon County Theresa village, Dodge County Theresa town, Dodge County Thiensville village, Ozaukee County Thornapple town, Rusk County Thorp city, Clark County Thorp town, Clark County Three Lakes town, Oneida County Tiffany town, Dunn County Tigerton village, Shawano County Tilden town, Chippewa County Tipler town, Florence County Tomah city, Monroe County Tomah town, Monroe County Tomahawk city, Lincoln County Tomahawk town, Lincoln County Tony village, Rusk County Townsend town, Oconto County Trade Lake town, Burnett County Trego town, Washburn County Trempealeau village, Trempealeau County Trempealeau town, Trempealeau County Trenton town, Dodge County Trenton town, Pierce County Trenton town, Washington County Trimbelle town, Pierce County Tripp town, Bayfield County Troy town, St. Croix County Troy town, Sauk County Troy town, Walworth County True town, Rusk County Turtle town, Rock County Turtle Lake village Barron County Polk County Turtle Lake town, Barron County Twin Lakes village, Kenosha County Two Creeks town, Manitowoc County Two Rivers city, Manitowoc County Two Rivers town, Manitowoc County Underhill town, Oconto County Union town, Burnett County Union town, Door County Union town, Eau Claire County Union town, Pierce County Union town, Rock County Union town, Vernon County Union town, Waupaca County Union Center village, Juneau County Union Grove village, Racine County Unity town, Clark County Unity village Clark County Marathon County 711 747 333 839 134 481 911 626 039 645 507 746 367 756 716 383 419 378 643 771 083 301 757 657 710 004 594 815 079 174 570 076 328 370 114 715 831 709 039 341 299 583 028 482 182 850 867 051 310 456 817 811 6 621 3 989 466 13 030 2 147 668 221 721 2 446 643 1 537 420 733 197 3 669 735 452 196 256 1980 785 720 931 990 571 580 065 581 482 587 487 786 347 507 … 227 411 476 634 766 152 341 740 635 743 864 639 865 088 170 204 089 527 383 146 735 824 697 956 504 319 624 914 420 145 326 799 794 332 703 762 762 – 587 3 474 489 13 354 2 663 664 199 755 2 689 753 1 329 405 784 216 3 517 815 418 166 252 1970 594 883 935 490 237 476 743 499 758 518 486 684 355 000 … 692 322 402 406 611 174 182 543 469 873 376 485 742 963 162 647 969 419 256 144 463 673 469 743 082 406 286 178 225 138 517 723 265 360 532 637 637 … 673 2 276 580 13 732 2 627 613 147 620 2 355 746 1 202 442 774 205 2 703 796 363 154 209 1990 257 386 718 639 684 195 769 282 803 794 199 262 119 877 869 180 180 141 556 291 336 422 361 754 250 935 205 382 352 223 064 364 527 333 50 489 579 455 466 582 427 610 269 484 111 033 293 780 121 916 395 394 1 263 2 296 164 5 414 772 447 390 593 891 209 568 180 323 90 1 321 234 166 71 95 1980 256 423 4 579 598 11 988 202 723 278 1 081 683 180 253 131 770 … 1 061 179 142 498 277 329 1 342 321 739 241 2 388 208 367 296 171 2 674 339 1 539 297 51 1 318 536 419 393 599 402 607 1 147 439 96 r801 273 703 117 912 325 325 – 217 1 995 164 5 000 866 417 340 575 907 228 471 162 308 87 1 219 221 162 74 88 1970 181 363 842 397 997 129 513 194 689 456 182 183 112 538 … 786 125 111 377 199 306 909 189 540 232 732 162 297 230 116 088 275 224 132 47 886 418 280 258 414 409 462 888 327 72 463 213 501 100 783 241 241 … 212 1 466 161 4 479 699 294 243 377 583 196 359 148 266 65 825 195 121 54 67

Square kilometers 89.2 97.9 18.2 81.9 143.6 3.2 279.1 2.6 10.1 157.2 93.5 93.0 94.9 92.4 55.6 93.5 1.8 1.1 116.7 1.6 92.6 2.9 136.2 2.7 91.7 258.8 77.3 2.4 93.4 111.7 17.6 82.5 22.9 185.4 5.3 110.0 92.0 95.2 2.9 148.6 140.9 78.1 88.9 93.7 90.5 105.9 140.6 91.9 60.8 76.3 6.2 6.0 .1 92.3 17.2 38.5 15.4 83.0 92.2 98.1 93.0 77.2 90.9 89.0 92.6 93.6 1.8 2.8 90.2 2.6 .9 1.6

Square miles 34.4 37.8 7.0 31.6 55.4 1.2 107.8 1.0 3.9 60.7 36.1 35.9 36.6 35.7 21.5 36.1 .7 .4 45.1 .6 35.8 1.1 52.6 1.1 35.4 99.9 29.8 .9 36.1 43.1 6.8 31.8 8.8 71.6 2.0 42.5 35.5 36.8 1.1 57.4 54.4 30.2 34.3 36.2 34.9 40.9 54.3 35.5 23.5 29.5 2.4 2.3 – 35.6 6.7 14.9 5.9 32.0 35.6 37.9 35.9 29.8 35.1 34.4 35.8 36.1 .7 1.1 34.8 1.0 .4 .6

Square kilometers 89.1 97.7 18.2 81.9 95.7 3.2 275.1 2.6 10.1 148.8 93.5 93.0 94.5 85.5 48.2 79.9 1.8 1.1 115.5 1.6 91.4 2.8 133.0 2.7 91.7 211.2 77.3 2.3 93.2 110.9 16.6 82.5 19.3 181.5 5.3 101.0 84.3 93.1 2.7 132.5 139.5 72.8 88.7 93.7 89.9 100.6 137.7 90.1 60.4 76.3 5.9 5.8 .1 91.1 13.3 38.5 14.3 82.7 90.9 89.3 54.8 75.9 90.4 88.9 92.6 93.0 1.8 2.8 90.2 2.6 .9 1.6

Square miles 34.4 37.7 7.0 31.6 36.9 1.2 106.2 1.0 3.9 57.4 36.1 35.9 36.5 33.0 18.6 30.9 .7 .4 44.6 .6 35.3 1.1 51.4 1.1 35.4 81.5 29.8 .9 36.0 42.8 6.4 31.8 7.4 70.1 2.0 39.0 32.5 35.9 1.1 51.2 53.9 28.1 34.3 36.2 34.7 38.8 53.1 34.8 23.3 29.5 2.3 2.2 – 35.2 5.1 14.9 5.5 31.9 35.1 34.5 21.2 29.3 34.9 34.3 35.8 35.9 .7 1.1 34.8 1.0 .4 .6

Square kilometer 8.0 7.6 842.5 22.5 283.5 150.3 6.9 240.8 498.9 4.3 5.4 8.0 3.9 20.5 35.6 42.3 232.8 343.6 14.2 481.9 11.8 1 178.9 5.7 613.7 7.7 9.5 7.7 354.3 11.6 1.6 456.0 13.0 172.4 2.0 21.5 7.1 9.9 7.6 384.8 10.1 9.3 21.7 45.4 15.8 2.0 28.3 6.3 22.8 5.1 32.2 138.5 139.8 60.0 6.8 299.9 12.1 911.2 26.0 7.3 2.5 13.2 32.2 7.1 17.3 4.5 7.9 109.4 1 310.4 8.1 173.8 217.8 160.0

Square mile 20.7 19.8 190.4 58.2 735.3 400.8 18.0 626.0 292.1 11.2 14.0 20.8 10.1 53.2 92.3 109.5 598.6 945.0 36.8 285.0 30.7 000.9 14.7 506.4 20.1 24.6 19.9 905.6 30.0 4.1 182.8 33.8 449.7 5.3 57.0 18.3 25.6 19.7 944.5 26.2 24.1 56.3 117.4 40.9 5.2 73.5 16.3 58.9 13.3 83.3 355.2 368.6 – 17.6 782.2 31.3 2 369.1 67.3 19.0 6.4 34.0 83.5 18.4 44.8 11.7 20.4 281.4 3 335.5 21.1 452.0 490.0 426.7

Square kilometer 2.9 4.0 314.2 7.8 122.1 60.9 2.8 108.5 178.5 5.3 2.1 2.8 1.3 10.3 18.0 14.8 100.0 128.2 4.8 181.9 3.7 507.9 2.7 279.3 2.7 13.9 2.7 166.1 3.8 2.0 184.6 4.4 79.1 1.8 9.4 14.7 6.9 4.9 172.6 4.4 3.1 8.4 14.3 5.2 1.2 10.3 2.1 8.7 2.0 12.0 66.9 67.9 10.0 2.9 172.6 4.3 378.6 9.3 4.9 4.4 10.8 11.7 2.3 6.4 1.9 3.5 50.0 471.8 2.6 63.8 78.9 59.4

Square mile 7.5 10.2 816.9 20.2 316.6 162.5 7.2 282.0 462.3 13.8 5.5 7.3 3.3 26.6 46.7 38.2 257.1 352.5 12.5 485.0 9.5 1 292.7 7.0 685.5 7.1 36.0 6.9 424.4 9.8 5.2 478.8 11.4 206.4 4.8 25.0 38.2 17.8 12.7 423.6 11.4 7.9 21.7 37.0 13.4 3.2 26.6 5.5 22.4 5.2 31.1 171.7 179.1 – 7.5 450.2 11.0 984.4 24.2 12.7 11.3 28.0 30.4 6.0 16.6 5.0 9.0 128.6 1 200.9 6.7 166.0 177.5 158.3

15 1 27 1 5

12 1 29 2 3

9 1 32 1 2

5 11

2 10

2

1

1

1 1 3 1 1 3 1 2 1 7 1 3

1 3 1 1 3 1 1 1 7 1 3

1 2 1 1 3 1 1

1

1 3 1

1

2

1

5 3

3 1 1

2 1

1

1 1 1 1 4 1 2 2 2

1 1 1 3 1 r2 1 2

1 1 1 3 1 1 1 2

1 1

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 68 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

68 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Unity town, Trempealeau County Upham town, Langlade County Utica town, Crawford County Utica town, Winnebago County Valders village, Manitowoc County Vance Creek town, Barron County Vandenbroek town, Outagamie County Vermont town, Dane County Vernon town, Waukesha County Verona city, Dane County Verona town, Dane County Vesper village, Wood County Vienna town, Dane County Vilas town, Langlade County Vinland town, Winnebago County Viola village Richland County Vernon County Viroqua city, Vernon County Viroqua town, Vernon County Wabeno town, Forest County Wagner town, Marinette County Waldo village, Sheboygan County Waldwick town, Iowa County Wales village, Waukesha County Walworth village, Walworth County Walworth town, Walworth County Warner town, Clark County Warren town, St. Croix County Warren town, Waushara County Warrens village, Monroe County Wascott town, Douglas County Washburn city, Bayfield County Washburn town, Bayfield County Washburn town, Clark County Washington town, Door County Washington town, Eau Claire County Washington town, Green County Washington town, La Crosse County Washington town, Rusk County Washington town, Sauk County Washington town, Shawano County Washington town, Vilas County Waterford village, Racine County Waterford town, Racine County Waterford North CDP, Racine County Waterloo town, Grant County Waterloo city, Jefferson County Waterloo town, Jefferson County Watertown city Dodge County Jefferson County Watertown town, Jefferson County Waterville town, Pepin County Watterstown town, Grant County Waubeek town, Pepin County Waukechon town, Shawano County Waukesha city, Waukesha County Waukesha town, Waukesha County Waumandee town, Buffalo County Waunakee village, Dane County Waupaca city, Waupaca County Waupaca town, Waupaca County Waupun city Dodge County Fond du Lac County Waupun town, Fond du Lac County Wausau city, Marathon County Wausau town, Marathon County Wausaukee village, Marinette County Wausaukee town, Marinette County Wautoma city, Waushara County 473 626 738 046 905 611 291 678 549 374 137 598 351 257 688 644 437 207 3 922 1 499 1 012 660 442 487 2 471 1 614 1 341 599 1 008 550 343 535 2 285 490 310 623 6 226 587 598 301 798 1 620 1 189 2 431 4 255 1 604 588 2 712 694 19 142 6 754 12 388 1 840 875 361 316 876 56 958 7 566 521 5 897 4 957 1 111 8 207 5 490 2 717 1 409 37 060 2 133 656 937 1 784 1980 564 545 822 038 984 650 538 634 372 336 259 554 365 264 632 696 473 223 3 716 1 663 1 222 624 416 503 1 992 1 607 1 443 668 897 573 300 511 2 080 386 276 558 6 489 555 611 318 741 1 374 1 100 2 051 3 984 … 615 2 393 811 18 113 5 911 12 202 1 921 1 075 348 239 874 r50 365 r6 668 594 3 866 4 472 1 040 8 132 5 439 2 693 1 492 32 426 2 215 648 753 1 629 1970 487 486 843 029 821 608 653 673 857 334 235 355 177 265 472 659 444 215 3 739 1 544 1 144 500 408 598 691 1 637 1 370 607 622 637 … 301 1 957 282 325 446 5 757 618 670 206 756 974 711 1 922 3 483 … 602 2 253 685 15 683 4 373 11 310 1 671 1 048 255 217 906 39 695 4 408 580 2 181 4 342 830 7 946 5 481 2 465 1 421 32 806 2 088 557 497 1 624 1990 178 819 343 391 352 253 403 260 2 267 1 950 671 219 426 143 627 306 201 105 1 870 528 701 503 155 176 732 694 529 200 327 292 117 933 994 192 193 808 2 193 199 214 379 262 1 120 1 501 947 1 661 660 231 1 048 257 7 009 2 459 4 550 672 341 138 116 360 065 491 193 020 190 428 1980 187 744 297 353 339 250 421 236 1 828 1 212 642 191 400 114 564 320 208 112 1 672 545 669 425 149 174 573 669 483 203 249 283 104 816 906 156 159 628 2 158 190 187 327 250 914 1 248 764 1 582 … 199 968 251 6 407 2 095 4 312 633 387 134 78 314 365 035 193 279 901 361 1970 146 567 260 291 241 206 393 174 719 717 452 126 279 95 450 280 189 91 1 429 396 559 235 130 153 191 561 437 178 150 188 … 459 718 119 113 453 1 657 157 168 212 232 598 778 597 1 372 … 179 809 189 4 987 1 407 3 580 489 310 94 57 297 11 901 1 228 165 592 1 567 277 2 334 1 513 821 356 11 254 550 232 378 616

Square kilometers 89.6 191.4 140.3 92.9 2.0 92.0 26.2 92.7 88.9 5.1 84.1 2.9 92.9 93.0 94.0 2.7 1.1 1.7 8.0 125.8 280.5 141.4 2.3 108.6 5.9 3.4 77.0 90.8 91.9 85.0 1.5 365.5 16.0 220.7 94.1 322.4 148.8 92.8 93.5 92.3 92.1 101.0 123.2 4.9 88.5 16.9 115.5 10.2 83.7 26.3 9.5 16.9 102.7 95.1 74.7 31.9 94.1 45.0 66.6 113.4 6.7 13.8 81.0 8.0 4.7 3.4 91.0 39.7 88.0 3.7 200.6 5.1

Square miles 34.6 73.9 54.2 35.9 .8 35.5 10.1 35.8 34.3 2.0 32.5 1.1 35.9 35.9 36.3 1.1 .4 .6 3.1 48.6 108.3 54.6 .9 41.9 2.3 1.3 29.7 35.1 35.5 32.8 .6 141.1 6.2 85.2 36.3 124.5 57.4 35.8 36.1 35.6 35.6 39.0 47.6 1.9 34.2 6.5 44.6 3.9 32.3 10.2 3.7 6.5 39.7 36.7 28.9 12.3 36.3 17.4 25.7 43.8 2.6 5.3 31.3 3.1 1.8 1.3 35.1 15.3 34.0 1.4 77.5 2.0

Square kilometers 89.6 182.7 140.3 92.9 2.0 91.9 26.2 92.7 87.7 5.1 84.0 2.9 92.9 93.0 75.2 2.7 1.1 1.7 8.0 125.7 278.0 137.8 2.2 108.6 5.9 3.4 75.4 90.5 90.6 84.8 1.4 344.4 10.2 220.2 93.9 66.0 147.5 92.8 93.5 87.3 92.1 91.6 107.3 4.6 83.4 14.0 98.9 10.1 83.7 25.3 9.1 16.3 101.3 93.8 72.1 29.8 92.8 44.8 66.3 113.3 6.7 13.5 80.7 8.0 4.7 3.4 91.0 36.5 88.0 3.7 196.2 4.9

Square miles 34.6 70.5 54.2 35.9 .8 35.5 10.1 35.8 33.9 2.0 32.4 1.1 35.9 35.9 29.0 1.1 .4 .6 3.1 48.5 107.3 53.2 .8 41.9 2.3 1.3 29.1 34.9 35.0 32.7 .5 133.0 3.9 85.0 36.3 25.5 57.0 35.8 36.1 33.7 35.6 35.4 41.4 1.8 32.2 5.4 38.2 3.9 32.3 9.8 3.5 6.3 39.1 36.2 27.8 11.5 35.8 17.3 25.6 43.8 2.6 5.2 31.2 3.1 1.8 1.3 35.1 14.1 34.0 1.4 75.7 1.9

Square kilometer 5.3 3.4 5.3 11.3 452.5 6.6 49.3 7.3 86.1 1 053.7 25.4 206.2 14.5 2.8 22.4 238.5 397.3 121.8 490.3 11.9 3.6 4.8 200.9 4.5 418.8 474.7 17.8 6.6 11.1 6.5 245.0 1.6 224.0 2.2 3.3 9.4 42.2 6.3 6.4 3.4 8.7 17.7 11.1 528.5 51.0 114.6 5.9 268.5 8.3 756.6 742.2 760.0 18.2 9.3 5.0 10.6 9.4 1 271.4 114.1 4.6 880.1 367.2 13.8 1 025.9 1 168.1 799.1 15.5 1 015.3 24.2 177.3 4.8 364.1

Square mile 13.7 8.9 13.6 29.1 1 131.3 17.2 127.8 18.9 222.7 2 687.0 66.0 543.6 37.6 7.2 58.2 585.5 1 092.5 345.0 1 265.2 30.9 9.4 12.4 552.5 11.6 1 074.3 1 241.5 46.1 17.2 28.8 16.8 686.0 4.0 585.9 5.8 8.5 24.4 109.2 16.4 16.6 8.9 22.4 45.8 28.7 1 350.6 132.1 297.0 15.4 695.4 21.5 1 953.3 1 929.7 1 966.3 47.1 24.2 13.0 27.5 24.5 3 292.4 295.5 11.9 2 268.1 953.3 35.6 2 647.4 3 050.0 2 090.0 40.1 2 628.4 62.7 468.6 12.4 938.9

Square kilometer 2.0 4.5 2.4 4.2 176.0 2.8 15.4 2.8 25.8 382.4 8.0 75.5 4.6 1.5 8.3 113.3 182.7 61.8 233.8 4.2 2.5 3.7 70.5 1.6 124.1 204.1 7.0 2.2 3.6 3.4 83.6 2.7 97.5 .9 2.1 12.2 14.9 2.1 2.3 4.3 2.8 12.2 14.0 205.9 19.9 47.1 2.3 103.8 3.1 277.0 270.2 279.1 6.6 3.6 1.9 3.9 3.9 492.5 37.6 1.7 301.5 162.2 5.3 353.5 376.8 310.9 5.5 419.7 8.2 90.0 4.8 166.3

Square mile 5.1 11.6 6.3 10.9 440.0 7.1 39.9 7.3 66.9 975.0 20.7 199.1 11.9 4.0 21.6 278.2 502.5 175.0 603.2 10.9 6.5 9.5 193.8 4.2 318.3 533.8 18.2 5.7 9.3 8.9 234.0 7.0 254.9 2.3 5.3 31.7 38.5 5.6 5.9 11.2 7.4 31.6 36.3 526.1 51.6 122.2 6.0 268.7 8.0 715.2 702.6 722.2 17.2 9.4 5.0 10.1 10.1 1 275.4 97.3 4.4 776.9 421.2 13.7 912.3 983.9 813.1 14.2 1 086.4 21.3 237.9 12.5 428.9

1 1 7 5 2 1 1

1 1 6 3 2 1 1

1 1 2 2 2 1 1

22 2 2 2

r18 r2 1 1

2 828 1 771 1 057 499 15 318 725 333 947 815

2 646 1 634 1 012 438 13 295 672 314 660 733

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 69 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 69

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Wautoma town, Waushara County Wauwatosa city, Milwaukee County Wauzeka village, Crawford County Wauzeka town, Crawford County Wayne town, Lafayette County Wayne town, Washington County Webb Lake town, Burnett County Webster village, Burnett County Webster town, Vernon County Weirgor town, Sawyer County Wellington town, Monroe County Wells town, Monroe County Wescott town, Shawano County West Allis city, Milwaukee County West Baraboo village, Sauk County West Bend city, Washington County West Bend town, Washington County Westboro town, Taylor County Westby city, Vernon County Westfield village, Marquette County Westfield town, Marquette County Westfield town, Sauk County Westford town, Dodge County Westford town, Richland County West Kewaunee town, Kewaunee County West Marshland town, Burnett County West Milwaukee village, Milwaukee County Weston town, Clark County Weston town, Dunn County Weston CDP, Marathon County Weston town, Marathon County West Point town, Columbia County Westport town, Dane County West Salem village, La Crosse County West Sweden town, Polk County Weyauwega city, Waupaca County Weyauwega town, Waupaca County Weyerhaeuser village, Rusk County Wheatland town, Kenosha County Wheatland town, Vernon County Wheaton town, Chippewa County Wheeler village, Dunn County Whitefish Bay village, Milwaukee County Whitehall city, Trempealeau County White Lake village, Langlade County Whitelaw village, Manitowoc County White Oak Springs town, Lafayette County White River town, Ashland County Whitestown town, Vernon County Whitewater city Jefferson County Walworth County Whitewater town, Walworth County Whiting village, Portage County Wien town, Marathon County Wild Rose village, Waushara County Wilkinson town, Rusk County Willard town, Rusk County Williams Bay village, Walworth County Williamstown town, Dodge County Willow town, Richland County Willow Springs town, Lafayette County Wilson town, Dunn County Wilson town, Eau Claire County Wilson town, Lincoln County Wilson town, Rusk County Wilson village, St. Croix County Wilson town, Sheboygan County Wilton village, Monroe County Wilton town, Monroe County Winchester town, Vilas County Winchester town, Winnebago County Wind Lake CDP, Racine County 1 088 49 366 595 399 510 1 374 200 623 529 356 566 442 3 085 63 221 1 021 23 916 4 607 663 1 866 1 125 520 578 1 248 513 1 215 293 3 973 662 560 9 714 11 450 1 285 2 732 3 611 682 1 665 653 283 3 263 436 2 279 348 14 272 1 494 304 700 116 771 471 12 636 2 466 10 170 1 378 1 838 705 676 51 448 2 108 722 572 656 490 477 238 67 163 2 842 478 777 354 1 433 3 748 1980 1 087 51 308 580 445 559 1 471 256 610 594 386 616 474 2 668 63 982 846 21 484 3 588 706 1 797 1 033 538 633 1 203 558 1 294 209 3 535 646 654 8 775 11 342 1 122 2 748 3 276 718 1 549 559 313 2 908 407 2 328 231 14 930 1 530 309 649 165 685 418 11 520 2 422 9 098 1 270 2 050 761 741 63 481 1 763 657 527 685 464 469 256 72 155 3 604 465 670 371 1 261 … 58 1970 723 676 437 390 588 214 125 502 520 331 633 423 251 649 563 555 779 631 568 884 343 650 006 658 195 173 405 602 688 375 351 873 411 180 691 377 538 285 047 393 782 212 402 486 309 557 207 606 490 20 1990 515 289 247 150 168 433 771 301 233 204 196 156 126 502 403 887 006 350 811 493 368 206 606 195 451 252 069 258 208 651 236 777 029 315 302 674 293 135 348 289 794 138 546 652 172 253 43 298 191 19 1980 481 613 245 141 174 419 692 270 241 178 197 143 945 282 321 483 491 339 719 457 329 196 584 206 388 161 811 226 217 017 830 627 912 099 298 662 241 134 177 311 709 105 589 659 152 216 50 262 169 18 1970 299 375 174 103 154 311 396 198 175 149 181 114 468 973 207 913 281 293 622 368 193 194 450 175 329 123 911 190 194 877 663 412 700 620 253 540 223 127 889 186 463 79 430 524 133 164 53 191 183

Square kilometers 89.0 34.3 12.4 113.4 95.9 92.7 93.7 4.3 91.7 89.4 91.7 92.5 79.3 29.5 2.0 26.6 49.6 324.9 5.8 3.7 74.8 92.6 90.5 90.5 96.0 190.2 2.9 94.0 107.5 26.7 93.4 84.1 80.3 4.8 87.5 3.2 56.9 2.5 62.2 71.8 143.3 2.1 5.5 4.1 6.4 1.4 42.7 114.3 90.7 13.3 2.6 10.7 82.4 5.4 81.8 3.3 91.7 93.6 8.3 87.8 92.9 125.0 92.0 123.6 94.1 89.2 3.6 60.4 2.4 90.3 138.8 94.6 17.1

Square miles 34.3 13.2 4.8 43.8 37.0 35.8 36.2 1.7 35.4 34.5 35.4 35.7 30.6 11.4 .8 10.3 19.1 125.5 2.3 1.4 28.9 35.8 35.0 34.9 37.0 73.4 1.1 36.3 41.5 10.3 36.1 32.5 31.0 1.8 33.8 1.2 22.0 .9 24.0 27.7 55.3 .8 2.1 1.6 2.5 .6 16.5 44.1 35.0 5.1 1.0 4.1 31.8 2.1 31.6 1.3 35.4 36.2 3.2 33.9 35.8 48.3 35.5 47.7 36.4 34.4 1.4 23.3 .9 34.9 53.6 36.5 6.6

Square kilometers 88.6 34.3 12.4 109.9 95.8 92.7 82.8 4.3 91.7 87.1 91.7 92.5 59.5 29.3 2.0 26.0 44.4 321.4 5.8 3.7 73.4 92.6 78.5 90.4 95.7 179.6 2.9 93.6 107.5 26.5 93.0 74.9 67.3 4.7 84.8 2.9 51.9 2.4 61.0 68.9 142.2 2.1 5.5 4.1 5.7 1.4 42.7 114.1 90.7 12.5 2.6 9.9 79.9 4.6 81.7 3.3 91.1 92.2 6.2 86.1 92.8 125.0 92.0 123.5 91.1 88.3 3.6 60.3 2.4 90.3 124.7 92.7 12.2

Square miles 34.2 13.2 4.8 42.4 37.0 35.8 32.0 1.7 35.4 33.6 35.4 35.7 23.0 11.3 .8 10.0 17.2 124.1 2.3 1.4 28.4 35.8 30.3 34.9 36.9 69.3 1.1 36.1 41.5 10.2 35.9 28.9 26.0 1.8 32.7 1.1 20.1 .9 23.6 26.6 54.9 .8 2.1 1.6 2.2 .6 16.5 44.0 35.0 4.8 1.0 3.8 30.8 1.8 31.6 1.3 35.2 35.6 2.4 33.2 35.8 48.3 35.5 47.7 35.2 34.1 1.4 23.3 .9 34.9 48.1 35.8 4.7

Square kilometer 1 12.3 439.2 48.0 3.6 5.3 14.8 2.4 144.9 5.8 4.1 6.2 4.8 51.8 157.7 510.5 919.8 103.8 2.1 321.7 304.1 7.1 6.2 15.9 5.7 12.7 1.6 370.0 7.1 5.2 366.6 123.1 17.2 40.6 768.3 8.0 574.1 12.6 117.9 53.5 6.3 16.0 165.7 594.9 364.4 53.3 500.0 2.7 6.8 5.2

Square mile 3 31.8 739.8 124.0 9.4 13.8 38.4 6.3 366.5 14.9 10.6 16.0 12.4 134.1 594.8 276.3 391.6 267.8 5.3 811.3 803.6 18.3 16.1 41.2 14.7 32.9 4.2 611.8 18.3 13.5 952.4 318.9 44.5 105.1 006.1 20.9 513.6 32.5 314.4 138.3 16.4 41.5 435.0 796.2 933.8 138.2 166.7 7.0 17.5 13.5

Square kilometer 5.8 591.5 19.9 1.4 1.8 4.7 9.3 70.0 2.5 2.3 2.1 1.7 35.7 938.6 201.5 341.8 45.2 1.1 139.8 133.2 5.0 2.2 7.7 2.2 4.7 1.4 713.4 2.8 1.9 137.8 45.5 10.4 15.3 279.8 3.6 232.4 5.6 56.3 22.1 4.2 5.6 65.7 1 008.4 159.0 30.2 180.7 1.0 2.6 2.1 306.5 130.4 352.7 9.3 142.0 2.7 103.9 .5 3.2 267.6 2.8 2.4 1.7 2.3 1.7 3.2 .4 15.8 18.0 92.5 2.4 5.4 5.8 115.7

Square mile 15.1 1 537.0 51.5 3.5 4.5 12.1 24.1 177.1 6.6 6.1 5.5 4.4 92.4 2 433.8 503.8 888.7 116.6 2.8 352.6 352.1 13.0 5.8 20.0 5.6 12.2 3.6 1 880.9 7.1 5.0 357.9 118.0 26.9 39.6 730.6 9.2 612.7 14.6 150.0 57.1 10.9 14.5 172.5 2 641.0 407.5 78.2 421.7 2.6 6.8 5.5 798.1 339.0 918.9 24.0 362.8 7.0 263.8 1.3 8.3 691.3 7.1 6.2 4.3 6.0 4.4 8.2 1.0 40.7 46.6 246.7 6.1 14.1 14.9 300.2

1

2 71 16 2 1

2 27 8 2

1 26 7 1

1 23 4 1

2

5 1 2

1 1 4 3 6 2 2 1 2 1 17 1

2 3 4 1 1

1 3 3 1

1

1

3

1

2 1

1

1

5

5

5

2

6 1

12 038 1 909 10 129 1 181 1 782 824 585 44 380 1 554 659 528 658 430 430 158 75 130 3 323 516 679 240 1 209 …

3 831 339 3 492 740 653 221 343 44 297 1 659 237 221 209 212 212 290 34 57 1 086 222 213 677 535 1 411

3 270 311 2 959 654 635 219 301 34 263 1 387 212 195 218 175 188 349 32 59 1 229 216 198 565 480 …

2 324 109 2 215 506 488 193 237 15 181 1 081 174 177 199 145 139 266 18 57 953 200 170 406 385 …

1 010.9 948.5 1 027.3 17.2 399.6 8.6 204.8 .6 4.9 340.0 8.4 6.2 5.2 5.3 3.9 2.6 .8 45.3 47.1 199.2 8.6 2.8 15.5 307.2

2 632.5 2 466.0 2 676.3 44.7 1 021.1 22.3 520.0 1.4 12.6 878.3 21.7 16.0 13.6 13.8 10.0 6.8 2.0 116.4 122.0 531.1 22.3 7.4 40.0 797.4

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 70 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

70 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 9.

Population and Housing Units, 1970 to 1990; Area Measurements and Density: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Place and [In Selected States] County Subdivision
1990 Wind Point village, Racine County Windsor CDP, Dane County Windsor town, Dane County Winfield town, Sauk County Wingville town, Grant County Winneconne village, Winnebago County Winneconne town, Winnebago County Winter village, Sawyer County Winter town, Sawyer County Wiota town, Lafayette County Wisconsin Dells city Adams County Columbia County Sauk County Wisconsin Rapids city, Wood County Withee village, Clark County Withee town, Clark County Wittenberg village, Shawano County Wittenberg town, Shawano County Wolf River town, Langlade County Wolf River town, Winnebago County Wonewoc village, Juneau County Wonewoc town, Juneau County Wood town, Wood County Woodboro town, Oneida County Woodland town, Sauk County Woodman village, Grant County Woodman town, Grant County Woodmohr town, Chippewa County Wood River town, Burnett County Woodruff town, Oneida County Woodville town, Calumet County Woodville village, St. Croix County Worcester town, Price County Worden town, Clark County Wrightstown village, Brown County Wrightstown town, Brown County Wyalusing town, Grant County Wyeville village, Monroe County Wyocena village, Columbia County Wyocena town, Columbia County Wyoming town, Iowa County Wyoming town, Waupaca County York town, Clark County York town, Dane County York town, Green County Yorkville town, Racine County Yuba village, Richland County 1 941 2 182 4 620 649 340 2 059 1 761 383 801 945 2 393 – 2 261 132 18 245 503 767 1 145 877 750 1 037 793 770 773 703 584 120 182 086 948 634 071 942 582 575 1980 1 695 … 3 812 624 417 1 935 1 595 376 704 1 091 2 521 … 2 337 184 17 995 509 859 997 829 604 1 052 842 778 836 547 594 116 216 967 883 1 458 1 160 725 1 489 650 1 169 1 705 443 163 548 1 225 325 304 903 714 552 3 162 72 1970 1 251 … 2 415 608 388 1 611 1 408 … 840 1 068 2 401 … 2 277 124 18 587 480 801 895 723 545 904 835 759 751 287 617 102 196 872 876 1 007 1 207 522 1 213 595 1 020 1 463 396 203 809 1 098 298 292 847 778 527 3 074 79 1990 738 781 1 580 228 120 880 880 203 1 143 364 1 099 – 1 037 62 7 833 235 265 441 308 756 713 385 306 286 592 257 50 86 358 550 1 310 324 371 1 111 189 443 553 225 64 205 557 186 188 267 223 160 998 35 1980 603 … 1 255 189 142 791 791 182 945 372 1 091 … 1 016 75 7 192 226 284 399 298 600 843 374 252 260 602 228 48 85 278 572 1 100 300 278 997 191 361 486 247 63 189 515 165 159 265 220 171 990 32 1970 357 … 667 167 120 570 652 … 699 316 898 … 861 37 6 000 175 235 309 230 408 512 348 248 206 305 195 39 63 226 449 571 262 163 600 150 276 345 134 66 125 412 118 130 232 192 160 760 36

Square kilometers 3.6 11.8 85.6 91.8 91.9 4.8 87.0 2.1 739.0 136.8 11.0 – 5.7 5.2 32.5 1.6 91.1 3.5 89.3 307.7 78.9 2.7 92.7 86.4 96.3 93.7 .6 71.2 92.3 92.4 92.1 85.6 2.9 313.7 93.6 5.7 88.6 110.3 1.5 4.0 96.0 105.8 93.8 93.5 93.0 93.2 90.6 .8

Square miles 1.4 4.5 33.1 35.5 35.5 1.8 33.6 .8 285.3 52.8 4.2 – 2.2 2.0 12.5 .6 35.2 1.4 34.5 118.8 30.5 1.0 35.8 33.4 37.2 36.2 .2 27.5 35.6 35.7 35.6 33.0 1.1 121.1 36.1 2.2 34.2 42.6 .6 1.5 37.1 40.8 36.2 36.1 35.9 36.0 35.0 .3

Square kilometers 3.2 11.7 85.3 91.8 91.8 3.7 57.4 2.1 724.0 136.7 10.3 – 5.4 4.9 30.3 1.6 91.1 3.5 89.1 302.1 76.0 2.7 92.7 86.3 89.8 93.4 .6 69.2 92.1 88.3 73.9 85.6 2.9 304.1 93.6 5.2 88.0 103.3 1.5 3.7 93.9 103.0 93.6 93.5 92.9 93.2 90.5 .8

Square miles 1.2 4.5 32.9 35.4 35.5 1.4 22.1 .8 279.5 52.8 4.0 – 2.1 1.9 11.7 .6 35.2 1.4 34.4 116.6 29.4 1.0 35.8 33.3 34.7 36.1 .2 26.7 35.5 34.1 28.5 33.0 1.1 117.4 36.1 2.0 34.0 39.9 .6 1.4 36.3 39.8 36.1 36.1 35.9 36.0 34.9 .3

Square kilometer 606.6 186.5 54.2 7.1 3.7 556.5 30.7 182.4 1.1 6.9 232.3 – 418.7 26.9 602.1 314.4 8.4 327.1 9.8 2.5 13.6 293.7 8.3 9.0 7.8 6.3 200.0 2.6 11.8 10.7 22.1 12.5 324.8 5.2 6.1 242.7 19.9 3.5 102.7 167.6 13.1 3.3 3.0 9.2 7.0 5.5 32.1 96.3

Square mile 1 617.5 484.9 140.4 18.3 9.6 1 470.7 79.7 478.8 2.9 17.9 598.3 – 1 076.7 69.5 1 559.4 838.3 21.8 817.9 25.5 6.4 35.3 793.0 21.5 23.2 20.3 16.2 600.0 6.8 30.6 27.8 57.3 32.5 856.4 13.5 15.9 631.0 51.5 9.1 256.7 442.9 33.8 8.5 7.8 23.7 18.1 14.1 83.1 256.7

Square kilometer 230.6 66.8 18.5 2.5 1.3 237.8 15.3 96.7 1.6 2.7 106.7 – 192.0 12.7 258.5 146.9 2.9 126.0 3.5 2.5 9.4 142.6 3.3 3.3 6.6 2.8 83.3 1.2 3.9 6.2 17.7 3.8 127.9 3.7 2.0 85.2 6.3 2.2 42.7 55.4 5.9 1.8 2.0 2.9 2.4 1.7 11.0 43.8

Square mile 615.0 173.6 48.0 6.4 3.4 628.6 39.8 253.8 4.1 6.9 274.8 – 493.8 32.6 669.5 391.7 7.5 315.0 9.0 6.5 24.3 385.0 8.5 8.6 17.1 7.1 250.0 3.2 10.1 16.1 46.0 9.8 337.3 9.5 5.2 221.5 16.3 5.6 106.7 146.4 15.3 4.7 5.2 7.4 6.2 4.4 28.6 116.7

1 1 1 1

1 262 1 750 364 154 620 1 228 338 283 857 649 509 2 901 77

Table 10.

1990 Population Rank; Population and Housing Units: 1980 and 1990
1990 population rank 1 (NA) (NA) (NA) 2 3 4 5 6 (NA) (NA) (NA) 7 8 9 (NA) (NA) 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 (NA) (NA) 31 (NA) (NA) 32 33 34 35 36 37 38 39 40 41 (NA) (NA) 42 43 44 45 46 47 48 49 50 51 52 (NA) (NA) 53 54 55 56 57 58 59 (NA) (NA) 60 61 62 63 64 65 66 67 68 69 70 71 72 73 (NA) (NA) 74 75 76 Population 1990 628 088 628 088 – – 191 96 84 80 262 466 298 352 1980 r636 297 r636 295 2 … 170 87 85 77 616 899 725 685 Housing units 1990 254 204 254 204 – – 80 39 33 31 047 726 156 197 1980

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]

Place [2,500 or More Persons]
Milwaukee city Milwaukee County Washington County Waukesha County Madison city, Dane County Green Bay city, Brown County Racine city, Racine County Kenosha city, Kenosha County Appleton city Calumet County Outagamie County Winnebago County West Allis city, Milwaukee County Waukesha city, Waukesha County Eau Claire city Chippewa County Eau Claire County Oshkosh city, Winnebago County Janesville city, Rock County La Crosse city, La Crosse County Sheboygan city, Sheboygan County Wauwatosa city, Milwaukee County Fond du Lac city, Fond du Lac County Wausau city, Marathon County Beloit city, Rock County Brookfield city, Waukesha County New Berlin city, Waukesha County Greenfield city, Milwaukee County Manitowoc city, Manitowoc County Superior city, Douglas County Menomonee Falls village, Waukesha County West Bend city, Washington County Neenah city, Winnebago County Stevens Point city, Portage County Franklin city, Milwaukee County South Milwaukee city, Milwaukee County Oak Creek city, Milwaukee County Marshfield city Marathon County Wood County Watertown city Dodge County Jefferson County Mequon city, Ozaukee County Cudahy city, Milwaukee County Wisconsin Rapids city, Wood County Muskego city, Waukesha County De Pere city, Brown County Ashwaubenon village, Brown County Fitchburg city, Dane County Sun Prairie city, Dane County Greendale village, Milwaukee County Menasha city Calumet County Winnebago County Allouez village, Brown County Whitefish Bay village, Milwaukee County Beaver Dam city, Dodge County Shorewood village, Milwaukee County Glendale city, Milwaukee County Germantown village, Washington County Menomonie city, Dunn County Middleton city, Dane County Two Rivers city, Manitowoc County Chippewa Falls city, Chippewa County Whitewater city Jefferson County Walworth County Brown Deer village, Milwaukee County Kaukauna city, Outagamie County Pleasant Prairie village, Kenosha County Marinette city, Marinette County Onalaska city, La Crosse County Oconomowoc city, Waukesha County River Falls city Pierce County St. Croix County Monroe city, Green County Fort Atkinson city, Jefferson County Cedarburg city, Ozaukee County Howard village, Brown County Merrill city, Lincoln County Weston CDP, Marathon County Platteville city, Grant County Grafton village, Ozaukee County Port Washington city, Ozaukee County St. Francis city, Milwaukee County Little Chute village, Outagamie County Baraboo city, Sauk County Sturgeon Bay city, Door County Burlington city Racine County Walworth County Stoughton city, Dane County Ashland city, Ashland County Portage city, Columbia County

Place [2,500 or More Persons]

1990 population rank 77 78 79 (NA) (NA) 80 (NA) (NA) 81 82 83 84 85 86 87 88 89 90 91 92 93 (NA) (NA) 94 95 96 97 98 99 100 101 102 103 104 105 106 (NA) (NA) 107 108 109 110 111 112 113 114 115 116 (NA) (NA) 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 (NA) (NA) 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162

Population 1990 8 637 8 276 8 207 5 490 2 717 8 188 9 8 179 8 7 7 7 7 7 7 7 7 7 6 6 176 998 788 623 598 570 541 427 241 238 906 769 1980 8 809 8 653 8 132 5 439 2 693 r7 159 … r7 159 5 7 6 7 7 7 7 7 7 5 6 310 691 934 110 013 204 … 873 111 649 559 027

Housing units 1990 3 822 3 619 2 828 1 771 1 057 3 132 4 3 128 2 3 3 3 3 3 2 3 2 2 2 2 978 520 266 207 249 064 869 293 804 948 428 817 1980 3 755 3 498 2 646 1 634 1 012 r2 655 … r2 655 1 3 2 2 2 2 3 2 2 1 2 805 116 839 537 932 674 … 184 623 911 912 446

65 695 9 075 56 177 443 63 221 56 958 56 856 1 676 55 180 55 52 51 49 49 37 37 35 35 33 33 32 27 26 23 23 23 21 20 19 006 133 003 676 366 757 060 573 184 592 403 520 134 840 916 219 006 855 958 513

r58 913 5 484 r53 424 r5 63 982 r50 365 51 509 1 657 49 852 49 51 48 48 51 35 32 35 34 30 r31 32 29 27 21 22 22 16 21 16 620 071 347 085 308 863 426 207 035 529 353 547 571 845 484 432 970 871 069 932

25 528 3 153 22 088 287 27 502 22 065 21 880 564 21 316 21 21 20 20 20 15 15 14 12 12 14 13 11 10 8 9 8 7 8 7 827 153 897 588 289 176 318 033 254 102 301 728 684 043 887 261 627 753 428 263

19 291 432 18 859 19 142 6 754 12 388 18 18 18 16 16 16 15 15 15 885 659 245 813 569 376 648 333 128

18 290 237 18 053 18 113 5 911 12 202 193 547 995 277 892 486 … 12 931 16 928 14 728 … 14 728 14 14 14 13 10 12 r11 13 12 … 930 149 327 882 729 769 851 354 270 16 19 17 15 14 14

8 045 193 7 852 7 009 2 459 4 550 6 7 7 5 5 6 6 5 5 470 642 833 759 938 245 685 718 745

14 711 73 14 638 14 14 14 14 14 13 13 13 13 12 431 272 196 116 088 658 547 289 030 727

6 168 26 6 142 5 5 5 6 5 5 4 5 5 5 066 546 997 701 784 100 539 895 414 338

12 636 2 466 10 170 12 11 11 11 11 10 236 982 961 843 284 993

11 520 2 422 9 098 12 921 11 310 … 11 965 9 249 9 909 r9 019 7 521 r1 498 10 9 9 8 9 8 9 8 8 r10 7 8 8 027 785 005 240 578 775 580 381 612 095 907 081 847

3 831 339 3 492 5 4 4 5 4 4 070 454 347 268 378 350

10 610 8 841 1 769 10 10 9 9 9 9 9 9 9 9 9 9 9 241 227 895 874 860 714 708 340 338 245 207 203 176

3 525 2 810 715 4 4 4 3 4 3 3 3 3 3 3 3 4 556 074 036 515 045 651 160 457 562 980 232 934 049

8 855 8 851 4 8 786 8 695 8 640

8 385 8 385 – 7 589 9 115 7 896

3 423 3 422 1 3 404 3 733 3 556

r253 564 Monona city, Dane County r253 563 Antigo city, Langlade County 1 Waupun city … Dodge County 68 996 Fond du Lac County 34 445 32 982 Hartford city Dodge County 29 411 Washington County r21 577 1 825 Plover village, Portage County r19 750 Rice Lake city, Barron County r2 Sparta city, Monroe County Hales Corners village, Milwaukee County 26 282 Shawano city, Shawano County r18 365 Tomah city, Monroe County Bellevue Town CDP, Brown County 19 224 Rhinelander city, Oneida County 558 Ripon city, Fond du Lac County 18 666 Fox Point village, Milwaukee County 19 047 Hartland village, Waukesha County 19 292 Plymouth city, Sheboygan County 18 757 New London city 18 818 Outagamie County 19 613 Waupaca County 13 540 13 295 Hudson city, St. Croix County 13 415 Elm Grove village, Waukesha County 10 539 Jefferson city, Jefferson County 9 546 Delavan city, Walworth County r12 309 Lake Geneva city, Walworth County 12 870 Waunakee village, Dane County 11 988 Altoona city, Eau Claire County 9 067 Reedsburg city, Sauk County 7 483 Sheboygan Falls city, Sheboygan County 8 310 Prairie du Chien city, Crawford County 7 874 Kimberly village, Outagamie County 5 543 Verona city, Dane County 7 458 Berlin city 5 706 Green Lake County Waushara County 7 063 86 Delafield city, Waukesha County 6 977 Elkhorn city, Walworth County 6 407 McFarland village, Dane County 2 095 New Richmond city, St. Croix County 4 312 Sussex village, Waukesha County Richland Center city, Richland County 5 168 Waupaca city, Waupaca County 7 290 Pewaukee village, Waukesha County 7 192 De Forest village, Dane County 4 581 4 792 Bayside village Milwaukee County 4 796 Ozaukee County … 4 579 Rib Mountain CDP, Marathon County 5 412 Oregon village, Dane County 5 741 French Island CDP, La Crosse County Oconto city, Oconto County … 5 741 Mukwonago village, Waukesha County Milton city, Rock County … Mayville city, Dodge County 5 589 Clintonville city, Waupaca County 5 607 North Fond du Lac village, Fond du Lac 6 518 County 4 946 Medford city, Taylor County 3 560 Edgerton city, Rock County 3 982 Lancaster city, Grant County r5 218 Mount Horeb village, Dane County 5 000 Lake Mills city, Jefferson County 4 629 Columbus city 3 270 Columbia County 311 Dodge County 2 959 Twin Lakes village, Kenosha County 4 589 West Milwaukee village, Milwaukee County 4 009 Ladysmith city, Rusk County … Viroqua city, Vernon County 5 057 Dodgeville city, Iowa County 3 213 Horicon city, Dodge County 3 642 Mosinee city, Marathon County Okauchee Lake CDP, Waukesha County r2 688 Sturtevant village, Racine County 2 159 Wind Lake CDP, Racine County r529 Saukville village, Ozaukee County 4 248 Union Grove village, Racine County 3 845 West Salem village, La Crosse County 3 332 Black River Falls city, Jackson County 2 575 Mauston city, Juneau County 3 840 Evergreen CDP, Marathon County 3 017 Algoma city, Kewaunee County 2 938 New Holstein city, Calumet County 2 842 Tomahawk city, Lincoln County 3 027 Rothschild village, Marathon County r3 882 Thiensville village, Ozaukee County 2 536 Prescott city, Pierce County 3 355 Chilton city, Calumet County 3 630 Holmen village, La Crosse County 3 026 Evansville city, Rock County 3 026 Brodhead city, Green County – Peshtigo city, Marinette County Park Falls city, Price County 2 852 North Hudson village, St. Croix County 3 833 Bloomer city, Chippewa County 3 327 Sauk City village, Sauk County

6 658 1 337 5 321 6 6 6 6 5 5 5 5 5 5 5 5 378 261 078 073 979 897 889 834 823 659 406 374

6 210 1 269 4 941 5 6 5 5 r5 3 4 5 5 5 5 3 434 735 647 684 612 866 393 038 253 859 881 336

2 694 582 2 112 2 2 2 2 3 2 2 2 2 2 2 1 634 398 472 427 184 020 397 485 303 393 069 950

2 388 510 1 878 2 2 2 2 r2 1 1 2 1 2 1 1 055 246 189 143 824 279 677 118 983 297 934 212

5 371 5 304 67 5 5 5 5 5 5 4 4 4 347 337 232 106 039 018 957 941 882

5 478 5 387 91 4 4 3 4 3 4 4 4 3 083 605 783 306 482 997 472 637 367

2 245 2 218 27 2 2 1 2 1 2 2 2 1 172 202 915 025 803 290 190 004 757

2 138 2 101 37 1 1 1 1 1 2 1 1 1 562 873 392 665 081 196 901 785 150

4 789 4 681 108 4 4 4 4 4 4 4 4 4 4 4 4 4 4 634 519 478 474 457 434 374 351 292 283 254 192 182 143

4 724 4 612 112 6 3 4 4 4 4 4 4 3 4 4 4 3 3 005 876 118 505 014 092 333 567 844 035 335 076 251 670

1 738 1 700 38 1 1 1 1 1 1 1 1 1 1 1 1 1 1 646 672 731 841 643 724 690 941 651 833 792 766 638 735

1 536 1 496 40 2 1 1 1 1 1 1 1 1 1 1 1 1 1 126 412 515 833 343 493 655 961 380 619 768 614 270 557

4 093 4 083 10 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 989 973 938 922 882 873 820 819 803 748 695 669 611 490 439 423 353 342 328 310 301 243 240 220 174 165 154 104 101 085 019

4 049 4 049 … 3 3 3 3 3 3 3 3 4 3 3 3 3 3 1 3 3 3 3 3 2 2 2 2 3 2 3 2 3 2 474 535 826 716 458 584 015 958 130 … 494 517 276 434 284 842 656 412 527 338 341 654 965 411 835 153 807 192 218 342 703

1 734 1 729 5 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 296 069 671 870 573 478 478 607 337 411 273 321 315 547 560 106 564 239 527 254 422 195 287 160 305 297 217 308 122 290 254

1 596 1 596 … 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 995 811 494 672 379 325 107 642 301 … 119 219 099 436 442 560 530 121 539 154 342 940 109 801 143 219 052 274 753 266 020

POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 71 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

WISCONSIN 71

Table 10.

1990 Population Rank; Population and Housing Units: 1980 and 1990 Con.
1990 population rank 163 164 (NA) (NA) 165 166 167 168 169 170 Population 1990 2 986 2 910 376 2 534 2 2 2 2 2 2 840 836 782 750 712 706 1980 2 595 3 083 429 2 654 2 2 2 2 2 2 907 763 530 801 393 143 Housing units 1990 1 283 1 181 130 1 051 1 1 1 1 1 1 069 093 059 213 048 066 1980 1 083 1 134 131 1 003 1 014 1 009 975 1 163 968 830

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]

Place [2,500 or More Persons]
Barron city, Barron County Kiel city Calumet County Manitowoc County Brillion city, Calumet County Omro city, Winnebago County Seymour city, Outagamie County Kewaunee city, Kewaunee County Waterloo city, Jefferson County Ellsworth village, Pierce County

Place [2,500 or More Persons]
Boscobel city, Grant County Neillsville city, Clark County East Troy village, Walworth County Paddock Lake village, Kenosha County Amery city, Polk County Oconto Falls city, Oconto County Nekoosa city, Wood County Kewaskum village Fond du Lac County Washington County

1990 population rank 170 172 173 174 175 176 177 178 (NA) (NA) 2 2 2 2 2 2 2

Population 1990 706 680 664 662 657 584 557 2 2 2 2 2 2 2 1980 662 780 385 207 404 500 519

Housing units 1990 1 141 1 199 999 1 074 1 132 1 114 1 008 944 1 943 1980 1 097 1 153 892 916 1 027 977 941 r806 r4 802

2 515 1 2 514

r2 394 r13 2 381

72

WISCONSIN

POPULATION AND HOUSING UNIT COUNTS

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 72 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 73 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 73

Table 11.

Population 1990 and 1980; Housing Units and Land Area: 1990
1990 population 1980 population 1990 housing units 1990 land area

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]

State Urban and Rural and Size of Place
The State Urban Inside urbanized area Central place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 Less than 50,000 Urban fringe Place of 2,500 or more 100,000 or more 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Place of less than 2,500 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Less than 1,000 Other urban Outside urbanized area Place of 25,000 or more 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Rural Place of 1,000 to 2,499 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Place of less than 1,000 Other rural

Number of places 618 191 83 16 – 1 – 1 9 5 67 54 – 1 5 22 16 10 13 3 4 2 4 … 108 2 15 35 56 427 156 35 45 76 271 …

Total population 4 3 2 1 891 211 464 590 769 956 721 779

Percent of total population 100.0 65.7 50.4 32.5 – 12.8 – 3.9 12.2 3.5 17.9 15.2 – 1.3 3.6 6.9 2.5 .8 .4 .1 .1 .1 – 2.3 15.3 1.4 4.6 5.2 4.0 34.3 5.0 1.6 1.6 1.9 2.8 26.5

Percent distribution … 100.0 76.7 49.5 – 19.6 – 6.0 18.6 5.4 27.2 23.1 – 2.0 5.6 10.5 3.8 1.3 .6 .2 .2 .1 .1 3.5 23.3 2.2 7.0 7.9 6.1 100.0 14.7 4.6 4.5 5.5 8.1 77.2

Number of places 600 183 81 14 – 1 – 1 6 6 67 53 – 3 4 21 14 11 14 2 4 4 4 … 102 2 12 32 56 417 145 30 43 72 272 …

Total population r4 3 2 1 705 020 336 463 642 732 665 005

Percent of total population 100.0 64.2 49.7 31.1 – 13.5 – 3.6 8.8 5.2 18.6 16.0 – 3.5 2.6 6.7 2.2 .9 .4 .1 .1 .1 – 2.2 14.5 1.5 3.9 5.0 4.1 35.8 4.8 1.4 1.6 1.9 3.0 28.0

Percent distribution … 100.0 77.4 48.4 – 21.1 – 5.6 13.7 8.1 28.9 24.9 – 5.5 4.1 10.5 3.5 1.4 .6 .1 .2 .2 .1 3.4 22.6 2.3 6.1 7.8 6.4 100.0 13.5 3.9 4.4 5.2 8.2 78.3

Total housing units 2 055 774 1 284 087 984 568 642 564 – 254 204 – 80 047 237 429 70 884 342 004 291 199 – 27 502 68 989 131 334 47 602 15 772 7 275 2 763 2 673 989 850 43 530 299 519 28 87 103 79 771 108 34 33 39 60 602 904 673 012 930 687 581 766 905 910 725 381

Percent of total housing units 100.0 62.5 47.9 31.3 – 12.4 – 3.9 11.5 3.4 16.6 14.2 – 1.3 3.4 6.4 2.3 .8 .4 .1 .1 – – 2.1 14.6 1.4 4.3 5.0 3.9 37.5 5.3 1.7 1.6 1.9 3.0 29.3

Percent distribution … 100.0 76.7 50.0 – 19.8 – 6.2 18.5 5.5 26.6 22.7 – 2.1 5.4 10.2 3.7 1.2 .6 .2 .2 .1 .1 3.4 23.3 2.3 6.8 8.0 6.2 100.0 14.1 4.5 4.4 5.2 7.9 78.1

Square kilometers 140 4 2 1 672.4 086.2 837.7 151.2

Square miles 54 313.7 1 577.7 1 095.6 444.5 – 96.1 – 57.8 202.8 87.9 651.2 547.8 – 11.3 121.7 297.8 83.4 33.5 21.6 3.8 12.5 1.4 3.9 81.7 482.0 27.2 114.7 172.9 167.3 52 736.0 339.1 95.1 117.2 126.8 469.4 51 927.5

Percent of total land area 100.0 2.9 2.0 .8 – .2 – .1 .4 .2 1.2 1.0 – – .2 .5 .2 .1 – – – – – .2 .9 .1 .2 .3 .3 97.1 .6 .2 .2 .2 .9 95.6

Percent distribution … 100.0 69.4 28.2 – 6.1 – 3.7 12.9 5.6 41.3 34.7 – .7 7.7 18.9 5.3 2.1 1.4 .2 .8 .1 .2 5.2 30.6 1.7 7.3 11.0 10.6 100.0 .6 .2 .2 .2 .9 98.5

– 628 088 – 191 262 598 767 172 662 873 942 741 709 – 63 221 178 385 337 942 121 964 40 197 18 570 6 684 7 050 2 651 2 185 113 663 747 235 70 226 254 196 1 679 246 78 76 91 135 1 297 277 256 390 312 813 297 037 348 912 995 521

– 636 212 – 170 616 412 921 243 256 873 660 751 865 – 165 609 123 876 315 870 104 456 42 054 18 554 4 285 6 825 5 175 2 269 103 241 684 067 68 185 235 194 1 685 227 65 73 88 138 1 318 410 567 923 167 035 485 453 617 415 888 662

– 248.8 – 149.6 525.1 227.6 1 686.5 1 418.8 – 29.3 315.3 771.3 215.9 86.9 56.1 9.7 32.4 3.8 10.2 211.7 1 248.5 70.4 297.0 447.8 433.3 136 586.2 878.2 246.4 303.5 328.3 1 215.8 134 492.3

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 74 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

74 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 12.

Urban and Rural Population: 1930 to 1990
1950

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]

Size of Place
1990 1980 1970 1960 Current urban definition Previous urban definition 1940 1930

NUMBER OF PLACES
Urban Place of 2,500 or more 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Place of less than 2,500 Rural Place of 1,000 to 2,499 Place of less than 1,000 Cumulative summary: Place of 1,000,000 or more 500,000 or more 250,000 or more 100,000 or more 50,000 or more 25,000 or more 10,000 or more 5,000 or more 2,500 or more 191 178 – 1 – 1 10 11 38 51 66 13 427 156 271 183 169 – 1 – 1 9 12 33 46 67 14 417 145 272 162 151 – 1 – 1 8 12 30 43 56 11 432 139 293 140 132 – 1 – 1 5 12 24 37 52 8 431 130 301 114 109 – 1 – – 4 12 17 24 51 5 435 124 311 107 107 – 1 – – 4 12 19 23 48 … 424 112 312 93 93 – 1 – – 2 13 17 19 41 … 420 95 325 83 83 – 1 – – 3 9 14 20 36 … 419 87 332

– 1 1 2 12 23 61 112 178

– 1 1 2 11 23 56 102 169

– 1 1 2 10 22 52 95 151

– 1 1 2 7 19 43 80 132

– 1 1 1 5 17 34 58 109

– 1 1 1 5 17 36 59 107

– 1 1 1 3 16 33 52 93

– 1 1 1 4 13 27 47 83

POPULATION
Urban Place of 2,500 or more 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Place of less than 2,500 Other urban Rural Place of 1,000 to 2,499 Place of less than 1,000 Other rural 3 211 956 3 079 723 – 628 088 – 191 262 661 988 398 105 587 417 376 354 236 509 18 570 113 663 1 679 813 246 297 135 995 1 297 521 3 020 732 2 898 937 – 636 212 – 170 616 578 530 435 542 501 437 340 379 236 221 18 554 103 241 1 685 035 227 485 138 888 1 318 662 2 910 418 2 843 330 – 717 099 – 173 258 553 692 440 278 454 921 310 253 193 829 15 038 52 050 1 507 313 217 993 144 029 1 145 291 2 522 179 2 460 875 – 741 324 – 126 706 345 011 453 344 350 019 258 333 186 138 10 410 50 894 1 429 598 198 787 146 005 1 084 806 1 987 888 1 921 541 – 637 392 – – 274 352 430 198 239 742 162 367 177 490 6 451 59 896 1 446 687 184 476 151 239 1 110 972 1 949 260 1 949 260 – 637 392 – – 274 352 430 198 282 639 157 275 167 404 … … 1 485 315 167 677 151 578 1 166 060 1 679 144 1 679 144 – 587 472 – – 134 642 455 726 229 806 127 626 143 872 … … 1 458 443 146 571 159 424 1 152 448 1 553 843 1 553 843 – 578 249 – – 175 703 305 175 223 821 141 905 128 990 … … 1 385 163 136 373 158 602 1 090 188

PERCENT OF TOTAL POPULATION
Urban Place of 2,500 or more 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Place of less than 2,500 Other urban Rural Place of 1,000 to 2,499 Place of less than 1,000 Other rural 65.7 63.0 – 12.8 – 3.9 13.5 8.1 12.0 7.7 4.8 .4 2.3 34.3 5.0 2.8 26.5 64.2 61.6 – 13.5 – 3.6 12.3 9.3 10.7 7.2 5.0 .4 2.2 35.8 4.8 3.0 28.0 65.9 64.4 – 16.2 – 3.9 12.5 10.0 10.3 7.0 4.4 .3 1.2 34.1 4.9 3.3 25.9 63.8 62.3 – 18.8 – 3.2 8.7 11.5 8.9 6.5 4.7 .3 1.3 36.2 5.0 3.7 27.5 57.9 55.9 – 18.6 – – 8.0 12.5 7.0 4.7 5.2 .2 1.7 42.1 5.4 4.4 32.3 56.8 56.8 – 18.6 – – 8.0 12.5 8.2 4.6 4.9 … … 43.2 4.9 4.4 34.0 53.5 53.5 – 18.7 – – 4.3 14.5 7.3 4.1 4.6 … … 46.5 4.7 5.1 36.7 52.9 52.9 – 19.7 – – 6.0 10.4 7.6 4.8 4.4 … … 47.1 4.6 5.4 37.1

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 75 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 75

Table 13.

Population Inside and Outside Metropolitan Area by Urban and Rural and Size of Place: 1990
In place

[Portions of certain cities may be classified as rural (see " Extended City" in Appendix A). Place partly outside a metropolitan area is counted where larger part of population is located; population, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]

State Inside Metropolitan Area Outside Metropolitan Area
Total population

Total Total Number of places Number of places

Incorporated place Central city of metropolitan area Number of places Other Number of places Total Number of places

Census designated place Central city of metropolitan area Number of places

Population

Population

Population

Population

Population

Population

Not in place

THE STATE
Total Urban Inside urbanized area Central place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 Less than 50,000 Urban fringe Place of 2,500 or more 100,000 or more 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Place of less than 2,500 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Less than 1,000 Other urban Outside urbanized area Place of 25,000 or more 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Rural Place of 1,000 to 2,499 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Place of less than 1,000 Other rural 4 3 2 1 891 211 464 590 769 956 721 779 618 191 83 16 – 1 – 1 9 5 67 54 – 1 5 22 16 10 13 3 4 2 4 … 108 2 15 35 56 427 156 35 45 76 271 … 3 3 2 1 481 098 351 590 926 293 058 779 583 184 78 16 – 1 – 1 9 5 62 49 – 1 5 22 14 7 13 3 4 2 4 … 106 2 15 35 54 399 136 28 39 69 263 … 3 3 2 1 406 060 320 590 644 936 943 779 16 16 16 16 – 1 – 1 9 5 – – – – – – – – – – – – – … – – – – – – – – – – – 1 1 1 1 590 590 590 590 779 779 779 779 567 168 62 – – – – – – – 62 49 – 1 5 22 14 7 13 3 4 2 4 … 106 2 15 35 54 399 136 28 39 69 263 … 1 815 865 1 470 157 730 164 – – – – – – – 164 594 – 221 385 942 709 337 570 684 050 651 185 … 993 277 256 390 070 708 725 648 526 551 642 341 35 7 5 – – – – – – – 5 5 – – – – 2 3 – – – – – … 2 – – – 2 28 20 7 6 7 8 … 75 282 37 357 30 115 – – – – – – – 115 115 – – – – 255 860 – – – – – … 242 – – – 242 925 572 389 822 361 353 … – – – – – – – – – – – – – – – – – – – – – – – … – – – – – – – – – – – … – – – – – – – – – – – – – – – – – – – – – – – … – – – – – – – – – – – … 1 409 843 113 663 113 663 … … … … … … … 113 663 … … … … … … … … … … … … 113 663 … … … … … 1 296 180 … … … … … 1 296 180

– 628 088 – 191 262 598 767 172 662 873 942 741 709 – 63 221 178 385 337 942 121 964 40 197 18 570 6 684 7 050 2 651 2 185 113 663 747 235 70 226 254 196 1 679 246 78 76 91 135 1 297 277 256 390 312 813 297 037 348 912 995 521

– 628 088 – 191 262 598 767 172 662 760 279 741 709 – 63 221 178 385 337 942 121 964 40 197 18 570 6 684 7 050 2 651 2 185 … 747 235 70 226 254 196 383 246 78 76 91 135 1 277 256 390 312 633 297 037 348 912 995 341

– 628 088 – 191 262 598 767 172 662 730 164 711 594 – 63 221 178 385 337 942 104 709 27 337 18 570 6 684 7 050 2 651 2 185 … 739 993 70 226 254 189 345 212 62 66 83 131 1 277 256 390 070 708 725 648 526 551 642 341

– 628 088 – 191 262 598 767 172 662 – – – – – – – – – – – – – … – – – – – – – – – – – –

730 711 63 178 337 104 27 18 6 7 2 2 739 70 226 254 189 345 212 62 66 83 131 1

30 30

17 12

7

…

7 37 33 15 9 8 4

INSIDE METROPOLITAN AREA
Total Urban Inside urbanized area Central place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 Less than 50,000 Urban fringe Place of 2,500 or more 100,000 or more 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Place of less than 2,500 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Less than 1,000 Other urban 3 2 2 1 298 678 464 590 407 138 721 779 218 120 83 16 – 1 – 1 9 5 67 54 – 1 5 22 16 10 13 3 4 2 4 … 2 2 2 1 678 564 351 590 133 475 058 779 200 113 78 16 – 1 – 1 9 5 62 49 – 1 5 22 14 7 13 3 4 2 4 … 2 2 2 1 623 527 320 590 902 118 943 779 16 16 16 16 – 1 – 1 9 5 – – – – – – – – – – – – – … 1 1 1 1 590 590 590 590 779 779 779 779 184 97 62 – – – – – – – 62 49 – 1 5 22 14 7 13 3 4 2 4 … 1 033 123 936 339 730 164 – – – – – – – 164 594 – 221 385 942 709 337 570 684 050 651 185 … 18 7 5 – – – – – – – 5 5 – – – – 2 3 – – – – – … 54 231 37 357 30 115 – – – – – – – 115 115 – – – – 255 860 – – – – – … – – – – – – – – – – – – – – – – – – – – – – – … – – – – – – – – – – – – – – – – – – – – – – – … 620 274 113 663 113 663 … … … … … … … 113 663 … … … … … … … … … … … … 113 663

– 628 088 – 191 262 598 767 172 662 873 942 741 709 – 63 221 178 385 337 942 121 964 40 197 18 570 6 684 7 050 2 651 2 185 113 663

– 628 088 – 191 262 598 767 172 662 760 279 741 709 – 63 221 178 385 337 942 121 964 40 197 18 570 6 684 7 050 2 651 2 185 …

– 628 088 – 191 262 598 767 172 662 730 164 711 594 – 63 221 178 385 337 942 104 709 27 337 18 570 6 684 7 050 2 651 2 185 …

– 628 088 – 191 262 598 767 172 662 – – – – – – – – – – – – – …

730 711 63 178 337 104 27 18 6 7 2 2

30 30

17 12

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 76 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

76 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 13.

Population Inside and Outside Metropolitan Area by Urban and Rural and Size of Place: 1990 Con.
In place

[Portions of certain cities may be classified as rural (see " Extended City" in Appendix A). Place partly outside a metropolitan area is counted where larger part of population is located; population, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]

State Inside Metropolitan Area Outside Metropolitan Area
Total population

Total Total Number of places Number of places

Incorporated place Central city of metropolitan area Number of places Other Number of places Total Number of places

Census designated place Central city of metropolitan area Number of places

Population

Population

Population

Population

Population

Population

Not in place

INSIDE METROPOLITAN AREA
Outside urbanized area Place of 25,000 or more 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Rural Place of 1,000 to 2,499 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Place of less than 1,000 Other rural

Con.
213 417 52 78 82 620 89 33 27 29 22 507 – 443 268 706 269 986 453 180 353 455 828 37 – 3 11 23 98 56 15 16 25 42 … 213 417 52 78 82 113 89 33 27 29 22 1 – 443 268 706 658 986 453 180 353 455 217 35 – 3 11 21 87 46 12 12 22 41 … 206 175 52 78 75 96 73 26 20 26 21 1 – 443 268 464 784 920 805 741 374 647 217 – – – – – – – – – – – – – – – – – – – – – – – 35 – 3 11 21 87 46 12 12 22 41 … 206 175 52 78 75 96 73 26 20 26 21 1 – 443 268 464 784 920 805 741 374 647 217 2 – – – 2 11 10 3 4 3 1 … 7 242 – – – 242 874 066 648 439 979 808 … – – – – – – – – – – – … – – – – – – – – – – – … … … … … … 506 611 … … … … … 506 611

7 16 16 6 6 2

…

OUTSIDE METROPOLITAN AREA
Total Urban Inside urbanized area Central place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 Less than 50,000 Urban fringe Place of 2,500 or more 100,000 or more 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Place of less than 2,500 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Less than 1,000 Other urban Outside urbanized area Place of 25,000 or more 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Rural Place of 1,000 to 2,499 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Place of less than 1,000 Other rural 1 593 362 533 818 – – – – – – – – – – – – – – – – – – – – – – 533 818 70 173 176 113 1 059 156 44 49 62 113 789 277 813 122 606 544 311 584 168 559 540 693 400 71 – – – – – – – – – – – – – – – – – – – – – 803 793 533 818 – – – – – – – – – – – – – – – – – – – – – 383 71 – – – – – – – – – – – – – – – – – – – – – 782 742 533 818 – – – – – – – – – – – – – – – – – – – – – … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 383 71 – – – – – – – – – – – – – – – – – – – – – … 71 2 12 24 33 312 90 16 27 47 222 … 782 742 533 818 – – – – – – – – – – – – – – – – – – – – – … 533 818 70 173 176 113 248 138 35 45 57 109 277 813 122 606 924 805 843 785 177 995 124 17 – – – – – – – – – – – – – – – – – – – – – – … – – – – – 17 10 4 2 4 7 … 21 051 – – – – – – – – – – – – – – – – – – – – – – … – – – – – 051 506 741 383 382 545 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 789 569 – – … … … … … … … – … … … … … … … … … … … … – … … … … … 789 569 … … … … … 789 569

… 71

… 533 818 70 173 176 113 269 156 44 49 62 113

… 71

… 533 818 70 173 176 113 248 138 35 45 57 109

2 12 24 33 329 100 20 29 51 229 …

277 813 122 606 975 311 584 168 559 540 124

2 12 24 33 312 90 16 27 47 222 …

277 813 122 606 924 805 843 785 177 995 124

21 17 8 3 5 3

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 77 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 77

Table 14.

Housing Units Inside and Outside Metropolitan Area by Urban and Rural and Size of Place: 1990
In place

[Portions of certain cities may be classified as rural (see " Extended City" in Appendix A). Place partly outside a metropolitan area is counted where larger part of population is located; housing units, however, are tabulated where located. For definitions of terms and meanings of symbols, see tex

State Inside Metropolitan Area Outside Metropolitan Area
All housing units

Total Total Number of places Number of places

Incorporated place Central city of metropolitan area Number of places Other Number of places Total Number of places

Census designated place Central city of metropolitan area Number of places

Housing units

Housing units

Housing units

Housing units

Housing units

Housing units

Not in place

THE STATE
Total Urban Inside urbanized area Central place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 Less than 50,000 Urban fringe Place of 2,500 or more 100,000 or more 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Place of less than 2,500 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Less than 1,000 Other urban Outside urbanized area Place of 25,000 or more 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Rural Place of 1,000 to 2,499 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Place of less than 1,000 Other rural 2 055 774 1 284 087 984 568 642 564 – 254 204 – 80 047 237 429 70 884 342 004 291 199 – 27 502 68 989 131 334 47 602 15 772 7 275 2 763 2 673 989 850 43 530 299 519 28 87 103 79 771 108 34 33 39 60 602 904 673 012 930 687 581 766 905 910 725 381 618 191 83 16 – 1 – 1 9 5 67 54 – 1 5 22 16 10 13 3 4 2 4 … 108 2 15 35 56 427 156 35 45 76 271 … 1 410 349 1 240 557 941 038 642 564 – 254 204 – 80 047 237 429 70 884 298 474 291 199 – 27 502 68 989 131 334 47 602 15 772 7 275 2 763 2 673 989 850 … 299 519 28 87 103 79 169 108 34 33 39 60 904 673 012 930 792 581 766 905 910 725 486 583 184 78 16 – 1 – 1 9 5 62 49 – 1 5 22 14 7 13 3 4 2 4 … 106 2 15 35 54 399 136 28 39 69 263 … 1 376 453 1 226 536 929 730 642 564 – 254 204 – 80 047 237 429 70 884 287 166 279 891 – 27 502 68 989 131 334 41 082 10 984 7 275 2 763 2 673 989 850 … 296 806 28 87 103 77 149 90 26 29 35 58 904 673 012 217 917 651 264 073 314 780 486 16 16 16 16 – 1 – 1 9 5 – – – – – – – – – – – – – … – – – – – – – – – – – 642 642 642 642 564 564 564 564 567 168 62 – – – – – – – 62 49 – 1 5 22 14 7 13 3 4 2 4 … 106 2 15 35 54 399 136 28 39 69 263 … 733 889 583 972 287 166 – – – – – – – 166 891 – 502 989 334 082 984 275 763 673 989 850 … 806 904 673 012 217 917 651 264 073 314 780 486 35 7 5 – – – – – – – 5 5 – – – – 2 3 – – – – – … 2 – – – 2 28 20 7 6 7 8 … 33 896 14 021 11 308 – – – – – – – 308 308 – – – – 520 788 – – – – – … 713 – – – 713 875 930 502 832 596 945 … – – – – – – – – – – – – – – – – – – – – – – – … – – – – – – – – – – – … – – – – – – – – – – – – – – – – – – – – – – – … – – – – – – – – – – – … 645 425 43 530 43 530 … … … … … … … 43 530 … … … … … … … … … … … … 43 530 … … … … … 601 895 … … … … … 601 895

– 254 204 – 80 047 237 429 70 884 – – – – – – – – – – – – – … – – – – – – – – – – – –

287 279 27 68 131 41 10 7 2 2

11 11

6 4

296 28 87 103 77 149 90 26 29 35 58

2

…

2 19 17 8 4 4 1

INSIDE METROPOLITAN AREA
Total Urban Inside urbanized area Central place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 Less than 50,000 Urban fringe Place of 2,500 or more 100,000 or more 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Place of less than 2,500 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Less than 1,000 Other urban 1 293 782 1 066 808 984 568 642 564 – 254 204 – 80 047 237 429 70 884 342 004 291 199 – 27 502 68 989 131 334 47 602 15 772 7 275 2 763 2 673 989 850 43 530 218 120 83 16 – 1 – 1 9 5 67 54 – 1 5 22 16 10 13 3 4 2 4 … 1 068 401 1 023 278 941 038 642 564 – 254 204 – 80 047 237 429 70 884 298 474 291 199 – 27 502 68 989 131 334 47 602 15 772 7 275 2 763 2 673 989 850 … 200 113 78 16 – 1 – 1 9 5 62 49 – 1 5 22 14 7 13 3 4 2 4 … 1 046 790 1 009 257 929 730 642 564 – 254 204 – 80 047 237 429 70 884 287 166 279 891 – 27 502 68 989 131 334 41 082 10 984 7 275 2 763 2 673 989 850 … 16 16 16 16 – 1 – 1 9 5 – – – – – – – – – – – – – … 642 642 642 642 564 564 564 564 184 97 62 – – – – – – – 62 49 – 1 5 22 14 7 13 3 4 2 4 … 404 226 366 693 287 166 – – – – – – – 166 891 – 502 989 334 082 984 275 763 673 989 850 … 18 7 5 – – – – – – – 5 5 – – – – 2 3 – – – – – … 21 611 14 021 11 308 – – – – – – – 308 308 – – – – 520 788 – – – – – … – – – – – – – – – – – – – – – – – – – – – – – … – – – – – – – – – – – – – – – – – – – – – – – … 225 381 43 530 43 530 … … … … … … … 43 530 … … … … … … … … … … … … 43 530

– 254 204 – 80 047 237 429 70 884 – – – – – – – – – – – – – …

287 279 27 68 131 41 10 7 2 2

11 11

6 4

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 78 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

78 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 14.

Housing Units Inside and Outside Metropolitan Area by Urban and Rural and Size of Place: 1990 Con.
In place

[Portions of certain cities may be classified as rural (see " Extended City" in Appendix A). Place partly outside a metropolitan area is counted where larger part of population is located; housing units, however, are tabulated where located. For definitions of terms and meanings of symbols, see tex

State Inside Metropolitan Area Outside Metropolitan Area
All housing units

Total Total Number of places Number of places

Incorporated place Central city of metropolitan area Number of places Other Number of places Total Number of places

Census designated place Central city of metropolitan area Number of places

Housing units

Housing units

Housing units

Housing units

Housing units

Housing units

Not in place

INSIDE METROPOLITAN AREA
Outside urbanized area Place of 25,000 or more 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Rural Place of 1,000 to 2,499 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Place of less than 1,000 Other rural

Con.
82 240 19 30 32 226 35 13 10 11 9 182 – 863 144 233 974 539 108 999 432 143 292 37 – 3 11 23 98 56 15 16 25 42 … 82 240 19 30 32 45 35 13 10 11 9 – 863 144 233 123 539 108 999 432 143 441 35 – 3 11 21 87 46 12 12 22 41 … 79 527 19 30 29 37 28 10 8 9 8 – 863 144 520 533 227 249 107 871 865 441 – – – – – – – – – – – – – – – – – – – – – – – 35 – 3 11 21 87 46 12 12 22 41 … 79 527 19 30 29 37 28 10 8 9 8 – 863 144 520 533 227 249 107 871 865 441 2 – – – 2 11 10 3 4 3 1 … 2 713 – – – 713 590 312 859 892 561 278 … – – – – – – – – – – – … – – – – – – – – – – – … … … … … … 181 851 … … … … … 181 851

2 7 7 2 2 1

…

OUTSIDE METROPOLITAN AREA
Total Urban Inside urbanized area Central place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 Less than 50,000 Urban fringe Place of 2,500 or more 100,000 or more 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Place of less than 2,500 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Less than 1,000 Other urban Outside urbanized area Place of 25,000 or more 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Rural Place of 1,000 to 2,499 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Place of less than 1,000 Other rural 761 992 217 279 – – – – – – – – – – – – – – – – – – – – – – 217 279 28 67 72 47 544 73 21 22 28 51 420 904 810 868 697 713 042 658 906 478 582 089 400 71 – – – – – – – – – – – – – – – – – – – – – 341 948 217 279 – – – – – – – – – – – – – – – – – – – – – 383 71 – – – – – – – – – – – – – – – – – – – – – 329 663 217 279 – – – – – – – – – – – – – – – – – – – – – … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 383 71 – – – – – – – – – – – – – – – – – – – – – … 71 2 12 24 33 312 90 16 27 47 222 … 329 663 217 279 – – – – – – – – – – – – – – – – – – – – – … 217 279 28 67 72 47 112 62 16 20 25 49 904 810 868 697 384 424 015 966 443 915 45 17 – – – – – – – – – – – – – – – – – – – – – – … – – – – – 17 10 4 2 4 7 … 12 285 – – – – – – – – – – – – – – – – – – – – – – … – – – – – 285 618 643 940 035 667 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 420 044 – – … … … … … … … – … … … … … … … … … … … … – … … … … … 420 044 … … … … … 420 044

… 71

… 217 279 28 67 72 47 124 73 21 22 28 51

… 71

… 217 279 28 67 72 47 112 62 16 20 25 49

2 12 24 33 329 100 20 29 51 229 …

904 810 868 697 669 042 658 906 478 582 45

2 12 24 33 312 90 16 27 47 222 …

904 810 868 697 384 424 015 966 443 915 45

12 10 5 1 3 1

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 79 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 79

Table 15.

Land Area in Square Kilometers Inside and Outside Metropolitan Area by Urban and Rural and Size of Place: 1990
In place

[Portions of certain cities may be classified as rural (see " Extended City" in Appendix A). Place partly outside a metropolitan area is counted where larger part of population is located; land area, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]

State Inside Metropolitan Area Outside Metropolitan Area
All land area

Total Total Number of places Number of places

Incorporated place Central city of metropolitan area Number of places Other Number of places Total Number of places

Census designated place Central city of metropolitan area Number of places

Land area

Land area

Land area

Land area

Land area

Land area

Not in place

THE STATE
Total Urban Inside urbanized area Central place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 Less than 50,000 Urban fringe Place of 2,500 or more 100,000 or more 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Place of less than 2,500 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Less than 1,000 Other urban Outside urbanized area Place of 25,000 or more 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Rural Place of 1,000 to 2,499 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Place of less than 1,000 Other rural 140 4 2 1 672.4 086.2 837.7 151.2 618 191 83 16 – 1 – 1 9 5 67 54 – 1 5 22 16 10 13 3 4 2 4 … 108 2 15 35 56 427 156 35 45 76 271 … 6 3 2 1 059.1 874.5 626.0 151.2 583 184 78 16 – 1 – 1 9 5 62 49 – 1 5 22 14 7 13 3 4 2 4 … 106 2 15 35 54 399 136 28 39 69 263 … 5 3 2 1 408.5 742.2 513.3 151.2 16 16 16 16 – 1 – 1 9 5 – – – – – – – – – – – – – … – – – – – – – – – – – 1 1 1 1 151.2 151.2 151.2 151.2 – 248.8 – 149.6 525.1 227.6 – – – – – – – – – – – – – … – – – – – – – – – – – – 567 168 62 – – – – – – – 62 49 – 1 5 22 14 7 13 3 4 2 4 … 106 2 15 35 54 399 136 28 39 69 263 … 4 257.4 2 591.1 1 362.1 – – – – – – – 1 362.1 1 306.1 – 29.3 315.3 771.3 152.5 37.6 56.1 9.7 32.4 3.8 10.2 … 1 228.9 70.4 297.0 447.8 413.7 1 666.3 647.3 151.8 215.0 280.5 928.3 90.7 35 7 5 – – – – – – – 5 5 – – – – 2 3 – – – – – … 2 – – – 2 28 20 7 6 7 8 … 650.6 132.3 112.7 – – – – – – – 112.7 112.7 – – – – 63.4 49.2 – – – – – … 19.6 – – – 19.6 518.4 230.9 94.6 88.5 47.8 287.5 … – – – – – – – – – – – – – – – – – – – – – – – … – – – – – – – – – – – … – – – – – – – – – – – – – – – – – – – – – – – … – – – – – – – – – – – … 134 613.3 211.7 211.7 … … … … … … … 211.7 … … … … … … … … … … … … 211.7 … … … … … 134 401.6 … … … … … 134 401.6

– 248.8 – 149.6 525.1 227.6 1 686.5 1 418.8 – 29.3 315.3 771.3 215.9 86.9 56.1 9.7 32.4 3.8 10.2 211.7 1 248.5 70.4 297.0 447.8 433.3 136 586.2 878.2 246.4 303.5 328.3 1 215.8 134 492.3

– 248.8 – 149.6 525.1 227.6 1 474.8 1 418.8 – 29.3 315.3 771.3 215.9 86.9 56.1 9.7 32.4 3.8 10.2 … 1 248.5 70.4 297.0 447.8 433.3 2 184.7 878.2 246.4 303.5 328.3 1 215.8 90.7

– 248.8 – 149.6 525.1 227.6 1 362.1 1 306.1 – 29.3 315.3 771.3 152.5 37.6 56.1 9.7 32.4 3.8 10.2 … 1 228.9 70.4 297.0 447.8 413.7 1 666.3 647.3 151.8 215.0 280.5 928.3 90.7

…

INSIDE METROPOLITAN AREA
Total Urban Inside urbanized area Central place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 Less than 50,000 Urban fringe Place of 2,500 or more 100,000 or more 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Place of less than 2,500 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Less than 1,000 Other urban 31 3 2 1 357.4 180.0 837.7 151.2 218 120 83 16 – 1 – 1 9 5 67 54 – 1 5 22 16 10 13 3 4 2 4 … 3 2 2 1 527.0 968.3 626.0 151.2 200 113 78 16 – 1 – 1 9 5 62 49 – 1 5 22 14 7 13 3 4 2 4 … 3 2 2 1 301.4 836.0 513.3 151.2 16 16 16 16 – 1 – 1 9 5 – – – – – – – – – – – – – … 1 1 1 1 151.2 151.2 151.2 151.2 – 248.8 – 149.6 525.1 227.6 – – – – – – – – – – – – – … 184 97 62 – – – – – – – 62 49 – 1 5 22 14 7 13 3 4 2 4 … 2 150.3 1 684.9 1 362.1 – – – – – – – 1 362.1 1 306.1 – 29.3 315.3 771.3 152.5 37.6 56.1 9.7 32.4 3.8 10.2 … 18 7 5 – – – – – – – 5 5 – – – – 2 3 – – – – – … 225.5 132.3 112.7 – – – – – – – 112.7 112.7 – – – – 63.4 49.2 – – – – – … – – – – – – – – – – – – – – – – – – – – – – – … – – – – – – – – – – – – – – – – – – – – – – – … 27 830.4 211.7 211.7 … … … … … … … 211.7 … … … … … … … … … … … … 211.7

– 248.8 – 149.6 525.1 227.6 1 686.5 1 418.8 – 29.3 315.3 771.3 215.9 86.9 56.1 9.7 32.4 3.8 10.2 211.7

– 248.8 – 149.6 525.1 227.6 1 474.8 1 418.8 – 29.3 315.3 771.3 215.9 86.9 56.1 9.7 32.4 3.8 10.2 …

– 248.8 – 149.6 525.1 227.6 1 362.1 1 306.1 – 29.3 315.3 771.3 152.5 37.6 56.1 9.7 32.4 3.8 10.2 …

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 80 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

80 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 15.

Land Area in Square Kilometers Inside and Outside Metropolitan Area by Urban and Rural and Size of Place: 1990 Con.
In place

[Portions of certain cities may be classified as rural (see " Extended City" in Appendix A). Place partly outside a metropolitan area is counted where larger part of population is located; land area, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]

State Inside Metropolitan Area Outside Metropolitan Area
All land area

Total Total Number of places Number of places

Incorporated place Central city of metropolitan area Number of places Other Number of places Total Number of places

Census designated place Central city of metropolitan area Number of places

Land area

Land area

Land area

Land area

Land area

Land area

Not in place

INSIDE METROPOLITAN AREA
Outside urbanized area Place of 25,000 or more 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Rural Place of 1,000 to 2,499 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Place of less than 1,000 Other rural

Con.
342.3 – 66.0 114.2 162.2 28 177.4 280.4 92.8 93.6 94.1 203.3 27 693.7 37 – 3 11 23 98 56 15 16 25 42 … 342.3 – 66.0 114.2 162.2 558.7 280.4 92.8 93.6 94.1 203.3 74.9 35 – 3 11 21 87 46 12 12 22 41 … 322.7 – 66.0 114.2 142.6 465.4 201.8 59.6 64.2 77.9 188.7 74.9 – – – – – – – – – – – – – – – – – – – – – – – 35 – 3 11 21 87 46 12 12 22 41 … 322.7 – 66.0 114.2 142.6 465.4 201.8 59.6 64.2 77.9 188.7 74.9 2 – – – 2 11 10 3 4 3 1 … 19.6 – – – 19.6 93.3 78.6 33.2 29.4 16.1 14.6 … – – – – – – – – – – – … – – – – – – – – – – – … … … … … … 27 618.7 … … … … … 27 618.7

…

OUTSIDE METROPOLITAN AREA
Total Urban Inside urbanized area Central place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 Less than 50,000 Urban fringe Place of 2,500 or more 100,000 or more 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Place of less than 2,500 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Less than 1,000 Other urban Outside urbanized area Place of 25,000 or more 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Rural Place of 1,000 to 2,499 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Place of less than 1,000 Other rural 109 315.0 906.2 – – – – – – – – – – – – – – – – – – – – – – 906.2 70.4 231.0 333.7 271.1 108 408.8 597.8 153.6 209.9 234.3 1 012.5 106 798.6 400 71 – – – – – – – – – – – – – – – – – – – – – 2 532.2 906.2 – – – – – – – – – – – – – – – – – – – – – 383 71 – – – – – – – – – – – – – – – – – – – – – 2 107.1 906.2 – – – – – – – – – – – – – – – – – – – – – … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 383 71 – – – – – – – – – – – – – – – – – – – – – … 71 2 12 24 33 312 90 16 27 47 222 … 2 107.1 906.2 – – – – – – – – – – – – – – – – – – – – – … 906.2 70.4 231.0 333.7 271.1 1 200.9 445.5 92.1 150.8 202.6 739.6 15.8 17 – – – – – – – – – – – – – – – – – – – – – – … – – – – – 17 10 4 2 4 7 … 425.1 – – – – – – – – – – – – – – – – – – – – – – … – – – – – 425.1 152.2 61.5 59.1 31.6 272.8 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 106 782.8 – – … … … … … … … – … … … … … … … … … … … … – … … … … … 106 782.8 … … … … … 106 782.8

… 71

… 906.2

… 71

… 906.2

2 12 24 33 329 100 20 29 51 229 …

70.4 231.0 333.7 271.1 1 626.0 597.8 153.6 209.9 234.3 1 012.5 15.8

2 12 24 33 312 90 16 27 47 222 …

70.4 231.0 333.7 271.1 1 200.9 445.5 92.1 150.8 202.6 739.6 15.8

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 81 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 81

Table 16.

Land Area in Square Miles Inside and Outside Metropolitan Area by Urban and Rural and Size of Place: 1990
In place

[Portions of certain cities may be classified as rural (see " Extended City" in Appendix A). Place partly outside a metropolitan area is counted where larger part of population is located; land area, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]

State Inside Metropolitan Area Outside Metropolitan Area
All land area

Total Total Number of places Number of places

Incorporated place Central city of metropolitan area Number of places Other Number of places Total Number of places

Census designated place Central city of metropolitan area Number of places

Land area

Land area

Land area

Land area

Land area

Land area

Not in place

THE STATE
Total Urban Inside urbanized area Central place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 Less than 50,000 Urban fringe Place of 2,500 or more 100,000 or more 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Place of less than 2,500 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Less than 1,000 Other urban Outside urbanized area Place of 25,000 or more 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Rural Place of 1,000 to 2,499 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Place of less than 1,000 Other rural 54 313.7 1 577.7 1 095.6 444.5 – 96.1 – 57.8 202.8 87.9 651.2 547.8 – 11.3 121.7 297.8 83.4 33.5 21.6 3.8 12.5 1.4 3.9 81.7 482.0 27.2 114.7 172.9 167.3 52 736.0 339.1 95.1 117.2 126.8 469.4 51 927.5 618 191 83 16 – 1 – 1 9 5 67 54 – 1 5 22 16 10 13 3 4 2 4 … 108 2 15 35 56 427 156 35 45 76 271 … 2 339.4 1 495.9 1 013.9 444.5 – 96.1 – 57.8 202.8 87.9 569.4 547.8 – 11.3 121.7 297.8 83.4 33.5 21.6 3.8 12.5 1.4 3.9 … 482.0 27.2 114.7 172.9 167.3 843.5 339.1 95.1 117.2 126.8 469.4 35.0 583 184 78 16 – 1 – 1 9 5 62 49 – 1 5 22 14 7 13 3 4 2 4 … 106 2 15 35 54 399 136 28 39 69 263 … 2 088.2 1 444.9 970.4 444.5 – 96.1 – 57.8 202.8 87.9 525.9 504.3 – 11.3 121.7 297.8 58.9 14.5 21.6 3.8 12.5 1.4 3.9 … 474.5 27.2 114.7 172.9 159.7 643.4 249.9 58.6 83.0 108.3 358.4 35.0 16 16 16 16 – 1 – 1 9 5 – – – – – – – – – – – – – … – – – – – – – – – – – 444.5 444.5 444.5 444.5 – 96.1 – 57.8 202.8 87.9 – – – – – – – – – – – – – … – – – – – – – – – – – – 567 168 62 – – – – – – – 62 49 – 1 5 22 14 7 13 3 4 2 4 … 106 2 15 35 54 399 136 28 39 69 263 … 1 643.8 1 000.4 525.9 – – – – – – – 525.9 504.3 – 11.3 121.7 297.8 58.9 14.5 21.6 3.8 12.5 1.4 3.9 … 474.5 27.2 114.7 172.9 159.7 643.4 249.9 58.6 83.0 108.3 358.4 35.0 35 7 5 – – – – – – – 5 5 – – – – 2 3 – – – – – … 2 – – – 2 28 20 7 6 7 8 … 251.2 51.1 43.5 – – – – – – – 43.5 43.5 – – – – 24.5 19.0 – – – – – … 7.6 – – – 7.6 200.1 89.1 36.5 34.2 18.4 111.0 … – – – – – – – – – – – – – – – – – – – – – – – … – – – – – – – – – – – … – – – – – – – – – – – – – – – – – – – – – – – … – – – – – – – – – – – … 51 974.2 81.7 81.7 … … … … … … … 81.7 … … … … … … … … … … … … 81.7 … … … … … 51 892.5 … … … … … 51 892.5

…

INSIDE METROPOLITAN AREA
Total Urban Inside urbanized area Central place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 Less than 50,000 Urban fringe Place of 2,500 or more 100,000 or more 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Place of less than 2,500 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Less than 1,000 Other urban 12 107.1 1 227.8 1 095.6 444.5 – 96.1 – 57.8 202.8 87.9 651.2 547.8 – 11.3 121.7 297.8 83.4 33.5 21.6 3.8 12.5 1.4 3.9 81.7 218 120 83 16 – 1 – 1 9 5 67 54 – 1 5 22 16 10 13 3 4 2 4 … 1 361.8 1 146.1 1 013.9 444.5 – 96.1 – 57.8 202.8 87.9 569.4 547.8 – 11.3 121.7 297.8 83.4 33.5 21.6 3.8 12.5 1.4 3.9 … 200 113 78 16 – 1 – 1 9 5 62 49 – 1 5 22 14 7 13 3 4 2 4 … 1 274.7 1 095.0 970.4 444.5 – 96.1 – 57.8 202.8 87.9 525.9 504.3 – 11.3 121.7 297.8 58.9 14.5 21.6 3.8 12.5 1.4 3.9 … 16 16 16 16 – 1 – 1 9 5 – – – – – – – – – – – – – … 444.5 444.5 444.5 444.5 – 96.1 – 57.8 202.8 87.9 – – – – – – – – – – – – – … 184 97 62 – – – – – – – 62 49 – 1 5 22 14 7 13 3 4 2 4 … 830.2 650.5 525.9 – – – – – – – 525.9 504.3 – 11.3 121.7 297.8 58.9 14.5 21.6 3.8 12.5 1.4 3.9 … 18 7 5 – – – – – – – 5 5 – – – – 2 3 – – – – – … 87.1 51.1 43.5 – – – – – – – 43.5 43.5 – – – – 24.5 19.0 – – – – – … – – – – – – – – – – – – – – – – – – – – – – – … – – – – – – – – – – – – – – – – – – – – – – – … 10 745.3 81.7 81.7 … … … … … … … 81.7 … … … … … … … … … … … … 81.7

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 82 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

82 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 16.

Land Area in Square Miles Inside and Outside Metropolitan Area by Urban and Rural and Size of Place: 1990 Con.
In place

[Portions of certain cities may be classified as rural (see " Extended City" in Appendix A). Place partly outside a metropolitan area is counted where larger part of population is located; land area, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]

State Inside Metropolitan Area Outside Metropolitan Area
All land area

Total Total Number of places Number of places

Incorporated place Central city of metropolitan area Number of places Other Number of places Total Number of places

Census designated place Central city of metropolitan area Number of places

Land area

Land area

Land area

Land area

Land area

Land area

Not in place

INSIDE METROPOLITAN AREA
Outside urbanized area Place of 25,000 or more 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Rural Place of 1,000 to 2,499 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Place of less than 1,000 Other rural

Con.
132.2 – 25.5 44.1 62.6 10 879.3 108.3 35.8 36.1 36.3 78.5 10 692.5 37 – 3 11 23 98 56 15 16 25 42 … 132.2 – 25.5 44.1 62.6 215.7 108.3 35.8 36.1 36.3 78.5 28.9 35 – 3 11 21 87 46 12 12 22 41 … 124.6 – 25.5 44.1 55.1 179.7 77.9 23.0 24.8 30.1 72.9 28.9 – – – – – – – – – – – – – – – – – – – – – – – 35 – 3 11 21 87 46 12 12 22 41 … 124.6 – 25.5 44.1 55.1 179.7 77.9 23.0 24.8 30.1 72.9 28.9 2 – – – 2 11 10 3 4 3 1 … 7.6 – – – 7.6 36.0 30.4 12.8 11.3 6.2 5.7 … – – – – – – – – – – – … – – – – – – – – – – – … … … … … … 10 663.6 … … … … … 10 663.6

…

OUTSIDE METROPOLITAN AREA
Total Urban Inside urbanized area Central place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 Less than 50,000 Urban fringe Place of 2,500 or more 100,000 or more 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Place of less than 2,500 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Less than 1,000 Other urban Outside urbanized area Place of 25,000 or more 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 Rural Place of 1,000 to 2,499 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 Place of less than 1,000 Other rural 42 206.6 349.9 – – – – – – – – – – – – – – – – – – – – – – 349.9 27.2 89.2 128.8 104.7 41 856.7 230.8 59.3 81.0 90.4 390.9 41 235.0 400 71 – – – – – – – – – – – – – – – – – – – – – 977.7 349.9 – – – – – – – – – – – – – – – – – – – – – 383 71 – – – – – – – – – – – – – – – – – – – – – 813.6 349.9 – – – – – – – – – – – – – – – – – – – – – … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 383 71 – – – – – – – – – – – – – – – – – – – – – … 71 2 12 24 33 312 90 16 27 47 222 … 813.6 349.9 – – – – – – – – – – – – – – – – – – – – – … 349.9 27.2 89.2 128.8 104.7 463.7 172.0 35.6 58.2 78.2 285.6 6.1 17 – – – – – – – – – – – – – – – – – – – – – – … – – – – – 17 10 4 2 4 7 … 164.1 – – – – – – – – – – – – – – – – – – – – – – … – – – – – 164.1 58.8 23.7 22.8 12.2 105.3 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 41 228.9 – – … … … … … … … – … … … … … … … … … … … … – … … … … … 41 228.9 … … … … … 41 228.9

… 71

… 349.9

… 71

… 349.9

2 12 24 33 329 100 20 29 51 229 …

27.2 89.2 128.8 104.7 627.8 230.8 59.3 81.0 90.4 390.9 6.1

2 12 24 33 312 90 16 27 47 222 …

27.2 89.2 128.8 104.7 463.7 172.0 35.6 58.2 78.2 285.6 6.1

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 83 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 83

Table 17.

Population Inside and Outside Metropolitan Area by Size of Place: 1990
In place

[Place partly outside a metropolitan area is counted where larger part of population is located; population, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]

State Inside Metropolitan Area Outside Metropolitan Area
Total population

Total Total Number of places Number of places

Incorporated place Central city of metropolitan area Number of places Other Number of places Total Number of places

Census designated place Central city of metropolitan area Number of places

Population

Population

Population

Population

Population

Population

Not in place

THE STATE
Total In place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 500 to 999 200 to 499 Less than 200 Cumulative summary: Place of 1,000,000 or more 500,000 or more 250,000 or more 100,000 or more 50,000 or more 25,000 or more 10,000 or more 5,000 or more 2,500 or more 2,000 or more 1,500 or more 1,000 or more 500 or more 200 or more Not in place 4 891 769 3 481 926 – 628 088 – 191 262 661 988 398 105 588 634 376 478 236 509 84 721 83 398 94 563 94 261 38 897 5 022 618 618 – 1 – 1 10 11 38 51 66 38 49 78 131 109 35 3 481 926 3 481 926 – 628 088 – 191 262 661 988 398 105 588 634 376 478 236 509 84 721 83 398 94 563 94 261 38 897 5 022 583 583 – 1 – 1 10 11 38 49 61 31 43 71 126 107 34 3 406 644 3 406 644 – 628 088 – 191 262 661 988 398 105 588 634 359 223 216 407 69 332 73 576 86 202 90 712 38 283 4 832 16 16 – 1 – 1 9 4 1 … … … … … … … … – 1 1 2 11 15 16 16 16 16 16 16 16 16 … 1 590 779 1 590 779 – 628 088 – 191 262 598 767 149 443 23 219 … … … … … … … … – 088 088 350 117 560 779 779 779 779 779 779 779 779 … 567 567 – – – – 1 7 37 49 61 31 43 71 126 107 34 1 815 865 1 815 865 – – – – 221 662 415 223 407 332 576 202 712 283 832 35 35 – – – – – – – 2 5 7 6 7 5 2 1 75 282 75 282 – – – – – – – 255 102 389 822 361 549 614 190 – – – – – – – – – – – – – – – – – – 1 409 843 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 1 409 843

63 248 565 359 216 69 73 86 90 38 4

17 20 15 9 8 3

… … … … … … … …

… … … … … … … …

1 1 2 2 3 3 3 3 3 3 1

628 628 819 481 879 468 844 081 165 249 343 438 476 409

– 088 088 350 338 443 077 555 064 785 183 746 007 904 843

– 1 1 2 12 23 61 112 178 216 265 343 474 583 …

1 1 2 2 3 3 3 3 3 3

628 628 819 481 879 468 844 081 165 249 343 438 476

– 088 088 350 338 443 077 555 064 785 183 746 007 904 …

– 1 1 2 12 23 61 110 171 202 245 316 442 549 …

1 1 2 2 3 3 3 3 3 3

628 628 819 481 879 468 827 043 113 186 272 363 401

– 088 088 350 338 443 077 300 707 039 615 817 529 812 …

1 1 1 1 1 1 1 1 1 1

628 628 819 418 567 590 590 590 590 590 590 590 590

– – – – 1 8 45 94 155 186 229 300 426 533 …

1 1 1 1 1 1 1

63 311 877 236 452 522 595 682 772 811

– – – – 221 883 298 521 928 260 836 038 750 033 …

– – – – – – – 2 7 14 20 27 32 34 …

17 37 52 62 70 74 75

– – – – – – – 255 357 746 568 929 478 092 …

– – – – – – – – – – – – – – …

– – – – – – – – – – – – – – …

INSIDE METROPOLITAN AREA
Total In place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 500 to 999 200 to 499 Less than 200 3 298 407 2 678 133 – 628 088 – 191 262 661 988 327 828 414 821 200 232 122 903 40 137 34 230 32 004 18 441 5 861 338 218 218 – 1 – 1 10 9 26 27 33 18 20 27 26 18 2 2 678 133 2 678 133 – 628 088 – 191 262 661 988 327 828 414 821 200 232 122 903 40 137 34 230 32 004 18 441 5 861 338 200 200 – 1 – 1 10 9 26 25 28 15 16 24 25 18 2 2 623 902 2 623 902 – 628 088 – 191 262 661 988 327 828 414 821 182 977 102 801 33 489 27 791 29 025 17 633 5 861 338 16 16 – 1 – 1 9 4 1 … … … … … … … … 1 590 779 1 590 779 – 628 088 – 191 262 598 767 149 443 23 219 … … … … … … … … 184 184 – – – – 1 5 25 25 28 15 16 24 25 18 2 1 033 123 1 033 123 – – – – 221 385 602 977 801 489 791 025 633 861 338 18 18 – – – – – – – 2 5 3 4 3 1 – – 54 231 54 231 – – – – – – – 255 102 648 439 979 808 – – – – – – – – – – – – – – – – – – – – 620 274 … … … … … … … … … … … … … … … …

63 178 391 182 102 33 27 29 17 5

17 20 6 6 2

… … … … … … … …

… … … … … … … …

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 84 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

84 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 17.

Population Inside and Outside Metropolitan Area by Size of Place: 1990 Con.
In place

[Place partly outside a metropolitan area is counted where larger part of population is located; population, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]

State Inside Metropolitan Area Outside Metropolitan Area
Total population

Total Total Number of places Number of places

Incorporated place Central city of metropolitan area Number of places Other Number of places Total Number of places

Census designated place Central city of metropolitan area Number of places

Population

Population

Population

Population

Population

Population

Not in place

INSIDE METROPOLITAN AREA
Cumulative summary: Place of 1,000,000 or more 500,000 or more 250,000 or more 100,000 or more 50,000 or more 25,000 or more 10,000 or more 5,000 or more 2,500 or more 2,000 or more 1,500 or more 1,000 or more 500 or more 200 or more Not in place

Con.
… … … … … … … … … … … … … … 620 274

1 1 2 2 2 2 2 2 2 2

628 628 819 481 809 223 424 547 587 621 653 671 677 620

– 088 088 350 338 166 987 219 122 259 489 493 934 795 274

– 1 1 2 12 21 47 74 107 125 145 172 198 216 …

1 1 2 2 2 2 2 2 2 2

628 628 819 481 809 223 424 547 587 621 653 671 677

– 088 088 350 338 166 987 219 122 259 489 493 934 795 …

– 1 1 2 12 21 47 72 100 115 131 155 180 198 …

1 1 2 2 2 2 2 2 2 2

628 628 819 481 809 223 406 509 543 571 600 617 623

– 088 088 350 338 166 987 964 765 254 045 070 703 564 …

– 1 1 2 11 15 16 16 16 16 16 16 16 16 …

1 1 1 1 1 1 1 1 1 1

628 628 819 418 567 590 590 590 590 590 590 590 590

– 088 088 350 117 560 779 779 779 779 779 779 779 779 …

– – – – 1 6 31 56 84 99 115 139 164 182 …

63 241 633 816 918 952 980 1 009 1 026 1 032

– – – – 221 606 208 185 986 475 266 291 924 785 …

– – – – – – – 2 7 10 14 17 18 18 …

17 37 44 50 53 54 54

– – – – – – – 255 357 005 444 423 231 231 …

– – – – – – – – – – – – – – …

– – – – – – – – – – – – – – …

OUTSIDE METROPOLITAN AREA
Total In place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 500 to 999 200 to 499 Less than 200 Cumulative summary: Place of 1,000,000 or more 500,000 or more 250,000 or more 100,000 or more 50,000 or more 25,000 or more 10,000 or more 5,000 or more 2,500 or more 2,000 or more 1,500 or more 1,000 or more 500 or more 200 or more Not in place 1 593 362 803 793 – – – – – 277 813 246 606 584 168 559 820 036 684 400 400 – – – – – 2 12 24 33 20 29 51 105 91 33 803 793 803 793 – – – – – 277 813 246 606 584 168 559 820 036 684 383 383 – – – – – 2 12 24 33 16 27 47 101 89 32 782 742 782 742 – – – – – 277 813 246 606 843 785 177 079 422 494 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 383 383 … … … … … 2 12 24 33 16 27 47 101 89 32 … … … … … 2 14 38 71 87 114 161 262 351 … 782 742 782 742 … … … … … 277 813 246 606 843 785 177 079 422 494 … … … … … 277 090 336 942 785 570 747 826 248 … 17 17 – – – – – – – – – 4 2 4 4 2 1 21 051 21 051 – – – – – – – – – 741 383 382 741 614 190 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 789 569 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 789 569

70 173 176 113 44 49 62 75 33 4

70 173 176 113 44 49 62 75 33 4

70 173 176 113 35 45 57 73 32 4

70 173 176 113 35 45 57 73 32 4

8 3 5 2

70 244 420 533 578 627 690 766 799 789

– – – – – 277 090 336 942 526 694 253 073 109 569

– – – – – 2 14 38 71 91 120 171 276 367 …

70 244 420 533 578 627 690 766 799

– – – – – 277 090 336 942 526 694 253 073 109 …

– – – – – 2 14 38 71 87 114 161 262 351 …

70 244 420 533 569 615 672 745 778

– – – – – 277 090 336 942 785 570 747 826 248 …

70 244 420 533 569 615 672 745 778

– – – – – – – – – 4 6 10 14 16 …

8 12 17 20 20

– – – – – – – – – 741 124 506 247 861 …

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 85 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 85

Table 18.

Housing Units Inside and Outside Metropolitan Area by Size of Place: 1990
In place

[Place partly outside a metropolitan area is counted where larger part of population is located; housing units, however, are tabulated where located. For definitions of terms and meanings of symbols, see text]

State Inside Metropolitan Area Outside Metropolitan Area
All housing units

Total Total Number of places Number of places

Incorporated place Central city of metropolitan area Number of places Other Number of places Total Number of places

Census designated place Central city of metropolitan area Number of places

Housing units

Housing units

Housing units

Housing units

Housing units

Housing units

Not in place

THE STATE
Total In place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 500 to 999 200 to 499 Less than 200 Cumulative summary: Place of 1,000,000 or more 500,000 or more 250,000 or more 100,000 or more 50,000 or more 25,000 or more 10,000 or more 5,000 or more 2,500 or more 2,000 or more 1,500 or more 1,000 or more 500 or more 200 or more Not in place 2 055 774 1 410 349 – 254 204 – 80 047 264 931 159 516 228 709 150 659 95 702 37 529 36 578 40 899 41 061 17 740 2 774 618 618 – 1 – 1 10 11 38 51 66 38 49 78 131 109 35 1 410 349 1 410 349 – 254 204 – 80 047 264 931 159 516 228 709 150 659 95 702 37 529 36 578 40 899 41 061 17 740 2 774 583 583 – 1 – 1 10 11 38 49 61 31 43 71 126 107 34 1 376 453 1 376 453 – 254 204 – 80 047 264 931 159 516 228 709 144 139 88 201 29 027 31 746 36 303 39 750 17 177 2 703 16 16 – 1 – 1 9 4 1 … … … … … … … … – 1 1 2 11 15 16 16 16 16 16 16 16 16 … 642 564 642 564 – 254 204 – 80 047 237 429 61 623 9 261 … … … … … … … … – 204 204 251 680 303 564 564 564 564 564 564 564 564 … 567 567 – – – – 1 7 37 49 61 31 43 71 126 107 34 733 889 733 889 – – – – 502 893 448 139 201 027 746 303 750 177 703 35 35 – – – – – – – 2 5 7 6 7 5 2 1 33 896 33 896 – – – – – – – 520 501 502 832 596 311 563 71 – – – – – – – – – – – – – – – – – – 645 425 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 645 425

27 97 219 144 88 29 31 36 39 17 2

6 7 8 4 4 1

… … … … … … … …

… … … … … … … …

1 1 1 1 1 1 1

254 254 334 599 758 987 138 233 271 307 348 389 407 645

– 204 204 251 182 698 407 066 768 297 875 774 835 575 425

– 1 1 2 12 23 61 112 178 216 265 343 474 583 …

1 1 1 1 1 1 1

254 254 334 599 758 987 138 233 271 307 348 389 407

– 204 204 251 182 698 407 066 768 297 875 774 835 575 …

– 1 1 2 12 23 61 110 171 202 245 316 442 549 …

1 1 1 1 1 1 1

254 254 334 599 758 987 131 219 248 280 316 356 373

– 204 204 251 182 698 407 546 747 774 520 823 573 750 …

254 254 334 571 633 642 642 642 642 642 642 642 642

– – – – 1 8 45 94 155 186 229 300 426 533 …

27 125 344 488 577 606 637 674 714 731

– – – – 502 395 843 982 183 210 956 259 009 186 …

– – – – – – – 2 7 14 20 27 32 34 …

6 14 22 27 31 33 33

– – – – – – – 520 021 523 355 951 262 825 …

– – – – – – – – – – – – – – …

– – – – – – – – – – – – – – …

INSIDE METROPOLITAN AREA
Total In place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 500 to 999 200 to 499 Less than 200 1 293 782 1 068 401 – 254 204 – 80 047 264 931 130 612 160 899 77 746 48 005 15 871 13 672 12 421 7 600 2 260 133 218 218 – 1 – 1 10 9 26 27 33 18 20 27 26 18 2 1 068 401 1 068 401 – 254 204 – 80 047 264 931 130 612 160 899 77 746 48 005 15 871 13 672 12 421 7 600 2 260 133 200 200 – 1 – 1 10 9 26 25 28 15 16 24 25 18 2 1 046 790 1 046 790 – 254 204 – 80 047 264 931 130 612 160 899 71 226 40 504 13 012 10 780 10 860 7 322 2 260 133 16 16 – 1 – 1 9 4 1 … … … … … … … … 642 564 642 564 – 254 204 – 80 047 237 429 61 623 9 261 … … … … … … … … 184 184 – – – – 1 5 25 25 28 15 16 24 25 18 2 404 226 404 226 – – – – 502 989 638 226 504 012 780 860 322 260 133 18 18 – – – – – – – 2 5 3 4 3 1 – – 21 611 21 611 – – – – – – – 520 501 859 892 561 278 – – – – – – – – – – – – – – – – – – – – 225 381 … … … … … … … … … … … … … … … …

27 68 151 71 40 13 10 10 7 2

6 7 2 2 1

… … … … … … … …

… … … … … … … …

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 86 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

86 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 18.

Housing Units Inside and Outside Metropolitan Area by Size of Place: 1990 Con.
In place

[Place partly outside a metropolitan area is counted where larger part of population is located; housing units, however, are tabulated where located. For definitions of terms and meanings of symbols, see text]

State Inside Metropolitan Area Outside Metropolitan Area
All housing units

Total Total Number of places Number of places

Incorporated place Central city of metropolitan area Number of places Other Number of places Total Number of places

Census designated place Central city of metropolitan area Number of places

Housing units

Housing units

Housing units

Housing units

Housing units

Housing units

Not in place

INSIDE METROPOLITAN AREA
Cumulative summary: Place of 1,000,000 or more 500,000 or more 250,000 or more 100,000 or more 50,000 or more 25,000 or more 10,000 or more 5,000 or more 2,500 or more 2,000 or more 1,500 or more 1,000 or more 500 or more 200 or more Not in place

Con.
… … … … … … … … … … … … … … 225 381

1 1 1 1 1 1

254 254 334 599 729 890 968 016 032 045 058 066 068 225

– 204 204 251 182 794 693 439 444 315 987 408 008 268 381

– 1 1 2 12 21 47 74 107 125 145 172 198 216 …

1 1 1 1 1 1

254 254 334 599 729 890 968 016 032 045 058 066 068

– 204 204 251 182 794 693 439 444 315 987 408 008 268 …

– 1 1 2 12 21 47 72 100 115 131 155 180 198 …

1 1 1 1 1 1

254 254 334 599 729 890 961 002 015 026 037 044 046

– 204 204 251 182 794 693 919 423 435 215 075 397 657 …

– 1 1 2 11 15 16 16 16 16 16 16 16 16 …

254 254 334 571 633 642 642 642 642 642 642 642 642

– 204 204 251 680 303 564 564 564 564 564 564 564 564 …

– – – – 1 6 31 56 84 99 115 139 164 182 …

27 96 248 319 359 372 383 394 401 404

– – – – 502 491 129 355 859 871 651 511 833 093 …

– – – – – – – 2 7 10 14 17 18 18 …

6 14 16 19 21 21 21

– – – – – – – 520 021 880 772 333 611 611 …

– – – – – – – – – – – – – – …

– – – – – – – – – – – – – – …

OUTSIDE METROPOLITAN AREA
Total In place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 500 to 999 200 to 499 Less than 200 Cumulative summary: Place of 1,000,000 or more 500,000 or more 250,000 or more 100,000 or more 50,000 or more 25,000 or more 10,000 or more 5,000 or more 2,500 or more 2,000 or more 1,500 or more 1,000 or more 500 or more 200 or more Not in place 761 992 341 948 – – – – – 904 810 913 697 658 906 478 461 480 641 400 400 – – – – – 2 12 24 33 20 29 51 105 91 33 341 948 341 948 – – – – – 904 810 913 697 658 906 478 461 480 641 383 383 – – – – – 2 12 24 33 16 27 47 101 89 32 329 663 329 663 – – – – – 904 810 913 697 015 966 443 428 917 570 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 383 383 … … … … … 2 12 24 33 16 27 47 101 89 32 … … … … … 2 14 38 71 87 114 161 262 351 … 329 663 329 663 … … … … … 904 810 913 697 015 966 443 428 917 570 … … … … … 904 714 627 324 339 305 748 176 093 … 17 17 – – – – – – – – – 4 2 4 4 2 1 12 285 12 285 – – – – – – – – – 643 940 035 033 563 71 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 420 044 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 420 044

28 67 72 47 21 22 28 33 15 2

28 67 72 47 21 22 28 33 15 2

28 67 72 47 16 20 25 32 14 2

28 67 72 47 16 20 25 32 14 2

5 1 3 1

28 96 169 217 238 261 290 323 339 420

– – – – – 904 714 627 324 982 888 366 827 307 044

– – – – – 2 14 38 71 91 120 171 276 367 …

28 96 169 217 238 261 290 323 339

– – – – – 904 714 627 324 982 888 366 827 307 …

– – – – – 2 14 38 71 87 114 161 262 351 …

28 96 169 217 233 254 279 312 327

– – – – – 904 714 627 324 339 305 748 176 093 …

28 96 169 217 233 254 279 312 327

– – – – – – – – – 4 6 10 14 16 …

5 7 10 11 12

– – – – – – – – – 643 583 618 651 214 …

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 87 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 87

Table 19.

Land Area in Square Kilometers Inside and Outside Metropolitan Area by Size of Place: 1990
In place

[Place partly outside a metropolitan area is counted where larger part of population is located; land area, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]

State Inside Metropolitan Area Outside Metropolitan Area
All land area

Total Total Number of places Number of places

Incorporated place Central city of metropolitan area Number of places Other Number of places Total Number of places

Census designated place Central city of metropolitan area Number of places

Land area

Land area

Land area

Land area

Land area

Land area

Not in place

THE STATE
Total In place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 500 to 999 200 to 499 Less than 200 Cumulative summary: Place of 1,000,000 or more 500,000 or more 250,000 or more 100,000 or more 50,000 or more 25,000 or more 10,000 or more 5,000 or more 2,500 or more 2,000 or more 1,500 or more 1,000 or more 500 or more 200 or more Not in place 140 672.4 6 059.1 – 248.8 – 149.6 554.5 594.1 1 162.5 679.5 520.1 256.1 335.9 332.1 610.5 495.3 120.2 618 618 – 1 – 1 10 11 38 51 66 38 49 78 131 109 35 6 059.1 6 059.1 – 248.8 – 149.6 554.5 594.1 1 162.5 679.5 520.1 256.1 335.9 332.1 610.5 495.3 120.2 583 583 – 1 – 1 10 11 38 49 61 31 43 71 126 107 34 5 408.5 5 408.5 – 248.8 – 149.6 554.5 594.1 1 162.5 616.1 451.3 161.5 247.4 284.3 516.2 306.1 116.2 16 16 – 1 – 1 9 4 1 … … … … … … … … – 1 1 2 11 15 16 16 16 16 16 16 16 16 … 1 151.2 1 151.2 – 248.8 – 149.6 525.1 208.4 19.2 … … … … … … … … – 248.8 248.8 398.4 923.6 131.9 151.2 151.2 151.2 151.2 151.2 151.2 151.2 151.2 … 567 567 – – – – 1 7 37 49 61 31 43 71 126 107 34 4 257.4 4 257.4 – – – – 29.3 385.7 1 143.2 616.1 451.3 161.5 247.4 284.3 516.2 306.1 116.2 35 35 – – – – – – – 2 5 7 6 7 5 2 1 650.6 650.6 – – – – – – – 63.4 68.8 94.6 88.5 47.8 94.3 189.2 4.0 – – – – – – – – – – – – – – – – – – 134 613.3 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 134 613.3

… … … … … … … …

… … … … … … … …

1 2 3 3 4 4 4 5 5 134

– 248.8 248.8 398.4 952.9 547.0 709.5 389.0 909.1 165.2 501.1 833.1 443.6 938.9 613.3

– 1 1 2 12 23 61 112 178 216 265 343 474 583 …

1 2 3 3 4 4 4 5 5

– 248.8 248.8 398.4 952.9 547.0 709.5 389.0 909.1 165.2 501.1 833.1 443.6 938.9 …

– 1 1 2 12 23 61 110 171 202 245 316 442 549 …

1 2 3 3 3 4 4 4 5

– 248.8 248.8 398.4 952.9 547.0 709.5 325.5 776.8 938.3 185.7 470.0 986.2 292.3 …

1 1 1 1 1 1 1 1 1

– – – – 1 8 45 94 155 186 229 300 426 533 …

1 2 2 2 3 3 3 4

– – – – 29.3 415.1 558.3 174.4 625.7 787.2 034.5 318.8 835.0 141.1 …

– – – – – – – 2 7 14 20 27 32 34 …

– – – – – – – 63.4 132.3 226.9 315.4 363.1 457.5 646.6 …

– – – – – – – – – – – – – – …

– – – – – – – – – – – – – – …

INSIDE METROPOLITAN AREA
Total In place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 500 to 999 200 to 499 Less than 200 31 357.4 3 527.0 – 248.8 – 149.6 554.5 523.7 931.4 330.1 249.0 102.5 125.9 97.8 160.8 46.3 6.4 218 218 – 1 – 1 10 9 26 27 33 18 20 27 26 18 2 3 527.0 3 527.0 – 248.8 – 149.6 554.5 523.7 931.4 330.1 249.0 102.5 125.9 97.8 160.8 46.3 6.4 200 200 – 1 – 1 10 9 26 25 28 15 16 24 25 18 2 3 301.4 3 301.4 – 248.8 – 149.6 554.5 523.7 931.4 266.6 180.2 69.4 96.6 81.7 146.2 46.3 6.4 16 16 – 1 – 1 9 4 1 … … … … … … … … 1 151.2 1 151.2 – 248.8 – 149.6 525.1 208.4 19.2 … … … … … … … … 184 184 – – – – 1 5 25 25 28 15 16 24 25 18 2 2 150.3 2 150.3 – – – – 29.3 315.3 912.2 266.6 180.2 69.4 96.6 81.7 146.2 46.3 6.4 18 18 – – – – – – – 2 5 3 4 3 1 – – 225.5 225.5 – – – – – – – 63.4 68.8 33.2 29.4 16.1 14.6 – – – – – – – – – – – – – – – – – – – – 27 830.4 … … … … … … … … … … … … … … … …

… … … … … … … …

… … … … … … … …

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 88 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

88 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 19.

Land Area in Square Kilometers Inside and Outside Metropolitan Area by Size of Place: 1990 Con.
In place

[Place partly outside a metropolitan area is counted where larger part of population is located; land area, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]

State Inside Metropolitan Area Outside Metropolitan Area
All land area

Total Total Number of places Number of places

Incorporated place Central city of metropolitan area Number of places Other Number of places Total Number of places

Census designated place Central city of metropolitan area Number of places

Land area

Land area

Land area

Land area

Land area

Land area

Not in place

INSIDE METROPOLITAN AREA
Cumulative summary: Place of 1,000,000 or more 500,000 or more 250,000 or more 100,000 or more 50,000 or more 25,000 or more 10,000 or more 5,000 or more 2,500 or more 2,000 or more 1,500 or more 1,000 or more 500 or more 200 or more Not in place

Con.
… … … … … … … … … … … … … … 27 830.4

1 2 2 2 3 3 3 3 3 27

– 248.8 248.8 398.4 952.9 476.6 408.0 738.1 987.2 089.7 215.6 313.4 474.3 520.5 830.4

– 1 1 2 12 21 47 74 107 125 145 172 198 216 …

1 2 2 2 3 3 3 3 3

– 248.8 248.8 398.4 952.9 476.6 408.0 738.1 987.2 089.7 215.6 313.4 474.3 520.5 …

– 1 1 2 12 21 47 72 100 115 131 155 180 198 …

1 2 2 2 2 3 3 3 3

– 248.8 248.8 398.4 952.9 476.6 408.0 674.7 854.9 924.3 020.8 102.5 248.7 295.0 …

– 1 1 2 11 15 16 16 16 16 16 16 16 16 …

1 1 1 1 1 1 1 1 1

– 248.8 248.8 398.4 923.6 131.9 151.2 151.2 151.2 151.2 151.2 151.2 151.2 151.2 …

– – – – 1 6 31 56 84 99 115 139 164 182 …

1 1 1 1 1 1 2 2

– – – – 29.3 344.7 256.9 523.5 703.7 773.1 869.7 951.4 097.6 143.8 …

– – – – – – – 2 7 10 14 17 18 18 …

– – – – – – – 63.4 132.3 165.4 194.8 210.9 225.5 225.5 …

– – – – – – – – – – – – – – …

– – – – – – – – – – – – – – …

OUTSIDE METROPOLITAN AREA
Total In place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 500 to 999 200 to 499 Less than 200 Cumulative summary: Place of 1,000,000 or more 500,000 or more 250,000 or more 100,000 or more 50,000 or more 25,000 or more 10,000 or more 5,000 or more 2,500 or more 2,000 or more 1,500 or more 1,000 or more 500 or more 200 or more Not in place 109 315.0 2 532.2 – – – – – 70.4 231.0 349.4 271.1 153.6 209.9 234.3 449.7 449.0 113.8 400 400 – – – – – 2 12 24 33 20 29 51 105 91 33 2 532.2 2 532.2 – – – – – 70.4 231.0 349.4 271.1 153.6 209.9 234.3 449.7 449.0 113.8 383 383 – – – – – 2 12 24 33 16 27 47 101 89 32 2 107.1 2 107.1 – – – – – 70.4 231.0 349.4 271.1 92.1 150.8 202.6 370.0 259.8 109.8 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 383 383 … … … … … 2 12 24 33 16 27 47 101 89 32 … … … … … 2 14 38 71 87 114 161 262 351 … 2 107.1 2 107.1 … … … … … 70.4 231.0 349.4 271.1 92.1 150.8 202.6 370.0 259.8 109.8 … … … … … 70.4 301.4 650.9 921.9 014.1 164.9 367.5 737.5 997.3 … 17 17 – – – – – – – – – 4 2 4 4 2 1 425.1 425.1 – – – – – – – – – 61.5 59.1 31.6 79.7 189.2 4.0 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 106 782.8 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 106 782.8

1 1 1 1 2 106

– – – – – 70.4 301.4 650.9 921.9 075.5 285.4 519.7 969.4 418.4 782.8

– – – – – 2 14 38 71 91 120 171 276 367 …

1 1 1 1 2

– – – – – 70.4 301.4 650.9 921.9 075.5 285.4 519.7 969.4 418.4 …

– – – – – 2 14 38 71 87 114 161 262 351 …

1 1 1 1 1

– – – – – 70.4 301.4 650.9 921.9 014.1 164.9 367.5 737.5 997.3 …

1 1 1 1 1

– – – – – – – – – 4 6 10 14 16 …

– – – – – – – – – 61.5 120.6 152.2 231.9 421.1 …

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 89 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 89

Table 20.

Land Area in Square Miles Inside and Outside Metropolitan Area by Size of Place: 1990
In place

[Place partly outside a metropolitan area is counted where larger part of population is located; land area, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]

State Inside Metropolitan Area Outside Metropolitan Area
All land area

Total Total Number of places Number of places

Incorporated place Central city of metropolitan area Number of places Other Number of places Total Number of places

Census designated place Central city of metropolitan area Number of places

Land area

Land area

Land area

Land area

Land area

Land area

Not in place

THE STATE
Total In place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 500 to 999 200 to 499 Less than 200 Cumulative summary: Place of 1,000,000 or more 500,000 or more 250,000 or more 100,000 or more 50,000 or more 25,000 or more 10,000 or more 5,000 or more 2,500 or more 2,000 or more 1,500 or more 1,000 or more 500 or more 200 or more Not in place 54 313.7 2 339.4 – 96.1 – 57.8 214.1 229.4 448.8 262.4 200.8 98.9 129.7 128.2 235.7 191.2 46.4 618 618 – 1 – 1 10 11 38 51 66 38 49 78 131 109 35 2 339.4 2 339.4 – 96.1 – 57.8 214.1 229.4 448.8 262.4 200.8 98.9 129.7 128.2 235.7 191.2 46.4 583 583 – 1 – 1 10 11 38 49 61 31 43 71 126 107 34 2 088.2 2 088.2 – 96.1 – 57.8 214.1 229.4 448.8 237.9 174.2 62.4 95.5 109.8 199.3 118.2 44.9 16 16 – 1 – 1 9 4 1 … … … … … … … … – 1 1 2 11 15 16 16 16 16 16 16 16 16 … 444.5 444.5 – 96.1 – 57.8 202.8 80.4 7.4 … … … … … … … … – 96.1 96.1 153.8 356.6 437.0 444.5 444.5 444.5 444.5 444.5 444.5 444.5 444.5 … 567 567 – – – – 1 7 37 49 61 31 43 71 126 107 34 1 643.8 1 643.8 – – – – 11.3 148.9 441.4 237.9 174.2 62.4 95.5 109.8 199.3 118.2 44.9 35 35 – – – – – – – 2 5 7 6 7 5 2 1 251.2 251.2 – – – – – – – 24.5 26.6 36.5 34.2 18.4 36.4 73.0 1.5 – – – – – – – – – – – – – – – – – – 51 974.2 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 51 974.2

… … … … … … … …

… … … … … … … …

1 1 1 1 1 1 2 2 51

– 96.1 96.1 153.8 367.9 597.3 046.1 308.5 509.3 608.2 737.9 866.1 101.8 293.0 974.2

– 1 1 2 12 23 61 112 178 216 265 343 474 583 …

1 1 1 1 1 1 2 2

– 96.1 96.1 153.8 367.9 597.3 046.1 308.5 509.3 608.2 737.9 866.1 101.8 293.0 …

– 1 1 2 12 23 61 110 171 202 245 316 442 549 …

1 1 1 1 1 1 1 2

– 96.1 96.1 153.8 367.9 597.3 046.1 284.0 458.2 520.6 616.1 725.9 925.2 043.3 …

– – – – 1 8 45 94 155 186 229 300 426 533 …

1 1 1 1 1 1

– – – – 11.3 160.3 601.7 839.5 013.8 076.1 171.6 281.4 480.7 598.9 …

– – – – – – – 2 7 14 20 27 32 34 …

– – – – – – – 24.5 51.1 87.6 121.8 140.2 176.6 249.7 …

– – – – – – – – – – – – – – …

– – – – – – – – – – – – – – …

INSIDE METROPOLITAN AREA
Total In place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 500 to 999 200 to 499 Less than 200 12 107.1 1 361.8 – 96.1 – 57.8 214.1 202.2 359.6 127.4 96.2 39.6 48.6 37.8 62.1 17.9 2.5 218 218 – 1 – 1 10 9 26 27 33 18 20 27 26 18 2 1 361.8 1 361.8 – 96.1 – 57.8 214.1 202.2 359.6 127.4 96.2 39.6 48.6 37.8 62.1 17.9 2.5 200 200 – 1 – 1 10 9 26 25 28 15 16 24 25 18 2 1 274.7 1 274.7 – 96.1 – 57.8 214.1 202.2 359.6 103.0 69.6 26.8 37.3 31.5 56.4 17.9 2.5 16 16 – 1 – 1 9 4 1 … … … … … … … … 444.5 444.5 – 96.1 – 57.8 202.8 80.4 7.4 … … … … … … … … 184 184 – – – – 1 5 25 25 28 15 16 24 25 18 2 830.2 830.2 – – – – 11.3 121.7 352.2 103.0 69.6 26.8 37.3 31.5 56.4 17.9 2.5 18 18 – – – – – – – 2 5 3 4 3 1 – – 87.1 87.1 – – – – – – – 24.5 26.6 12.8 11.3 6.2 5.7 – – – – – – – – – – – – – – – – – – – – 10 745.3 … … … … … … … … … … … … … … … …

… … … … … … … …

… … … … … … … …

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 90 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

90 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 20.

Land Area in Square Miles Inside and Outside Metropolitan Area by Size of Place: 1990 Con.
In place

[Place partly outside a metropolitan area is counted where larger part of population is located; land area, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]

State Inside Metropolitan Area Outside Metropolitan Area
All land area

Total Total Number of places Number of places

Incorporated place Central city of metropolitan area Number of places Other Number of places Total Number of places

Census designated place Central city of metropolitan area Number of places

Land area

Land area

Land area

Land area

Land area

Land area

Not in place

INSIDE METROPOLITAN AREA
Cumulative summary: Place of 1,000,000 or more 500,000 or more 250,000 or more 100,000 or more 50,000 or more 25,000 or more 10,000 or more 5,000 or more 2,500 or more 2,000 or more 1,500 or more 1,000 or more 500 or more 200 or more Not in place

Con.
… … … … … … … … … … … … … … 10 745.3

1 1 1 1 1 1 1 10

– 96.1 96.1 153.8 367.9 570.1 929.7 057.2 153.3 192.9 241.6 279.3 341.4 359.3 745.3

– 1 1 2 12 21 47 74 107 125 145 172 198 216 …

1 1 1 1 1 1 1

– 96.1 96.1 153.8 367.9 570.1 929.7 057.2 153.3 192.9 241.6 279.3 341.4 359.3 …

– 1 1 2 12 21 47 72 100 115 131 155 180 198 …

1 1 1 1 1 1 1

– 96.1 96.1 153.8 367.9 570.1 929.7 032.7 102.3 129.1 166.3 197.9 254.3 272.2 …

– 1 1 2 11 15 16 16 16 16 16 16 16 16 …

– 96.1 96.1 153.8 356.6 437.0 444.5 444.5 444.5 444.5 444.5 444.5 444.5 444.5 …

– – – – 1 6 31 56 84 99 115 139 164 182 …

– – – – 11.3 133.1 485.3 588.2 657.8 684.6 721.9 753.4 809.9 827.7 …

– – – – – – – 2 7 10 14 17 18 18 …

– – – – – – – 24.5 51.1 63.9 75.2 81.4 87.1 87.1 …

– – – – – – – – – – – – – – …

– – – – – – – – – – – – – – …

OUTSIDE METROPOLITAN AREA
Total In place Place of 1,000,000 or more 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 50,000 to 99,999 25,000 to 49,999 10,000 to 24,999 5,000 to 9,999 2,500 to 4,999 2,000 to 2,499 1,500 to 1,999 1,000 to 1,499 500 to 999 200 to 499 Less than 200 Cumulative summary: Place of 1,000,000 or more 500,000 or more 250,000 or more 100,000 or more 50,000 or more 25,000 or more 10,000 or more 5,000 or more 2,500 or more 2,000 or more 1,500 or more 1,000 or more 500 or more 200 or more Not in place 42 206.6 977.7 – – – – – 27.2 89.2 134.9 104.7 59.3 81.0 90.4 173.6 173.4 43.9 400 400 – – – – – 2 12 24 33 20 29 51 105 91 33 977.7 977.7 – – – – – 27.2 89.2 134.9 104.7 59.3 81.0 90.4 173.6 173.4 43.9 383 383 – – – – – 2 12 24 33 16 27 47 101 89 32 813.6 813.6 – – – – – 27.2 89.2 134.9 104.7 35.6 58.2 78.2 142.9 100.3 42.4 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 383 383 … … … … … 2 12 24 33 16 27 47 101 89 32 … … … … … 2 14 38 71 87 114 161 262 351 … 813.6 813.6 … … … … … 27.2 89.2 134.9 104.7 35.6 58.2 78.2 142.9 100.3 42.4 … … … … … 27.2 116.4 251.3 356.0 391.5 449.7 528.0 670.8 771.2 … 17 17 – – – – – – – – – 4 2 4 4 2 1 164.1 164.1 – – – – – – – – – 23.7 22.8 12.2 30.8 73.0 1.5 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 41 228.9 … … … … … … … … … … … … … … … … … … … … … … … … … … … … … … 41 228.9

– – – – – 27.2 116.4 251.3 356.0 415.3 496.3 586.8 760.4 933.7 41 228.9

– – – – – 2 14 38 71 91 120 171 276 367 …

– – – – – 27.2 116.4 251.3 356.0 415.3 496.3 586.8 760.4 933.7 …

– – – – – 2 14 38 71 87 114 161 262 351 …

– – – – – 27.2 116.4 251.3 356.0 391.5 449.7 528.0 670.8 771.2 …

– – – – – – – – – 4 6 10 14 16 …

– – – – – – – – – 23.7 46.6 58.8 89.5 162.6 …

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 91 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 91

Table 21.

Population and Housing Units 1970 to 1990; Land Area and Density for Metropolitan Area: 1990
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." MA’s are as defined for the 1990 census. Counts relate to component parts as defined at each census. Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Metropolitan Area
1990 1980 1970 1990 1980 1970

Square kilometers

Square miles

Square kilometers

Square miles

Square kilometer

Square mile

Square kilometer

Square mile

Appleton--Oshkosh--Neenah, WI MSA
The area In central city Appleton city Neenah city Oshkosh city Not in central city Calumet County Outagamie County Winnebago County 315 143 65 23 55 171 121 920 695 219 006 201 291 r130 r58 22 49 r160 369 965 913 432 620 404 276 132 56 22 53 144 948 361 377 902 082 587 120 56 25 9 21 63 511 616 528 261 827 895 104 r48 r21 8 19 r55 072 934 577 310 047 138 81 40 17 6 16 41 660 559 206 892 461 101 4 196.5 118.1 45.6 20.6 51.9 4 078.4 1 028.4 1 669.1 1 499.0 1 620.3 45.6 17.6 8.0 20.0 1 574.7 397.1 644.5 578.8 3 623.1 110.1 44.4 19.2 46.5 3 513.0 828.5 1 658.6 1 136.1 1 398.9 42.5 17.1 7.4 17.9 1 356.4 319.9 640.4 438.6 1 1 1 1 87.0 307.2 479.6 209.3 182.9 48.7 41.4 84.7 123.5 3 3 3 3 225.3 386.4 841.8 137.7 073.0 126.2 107.2 219.4 319.9 33.3 514.2 575.0 482.3 469.4 18.2 15.0 31.3 49.4 1 1 1 1 86.1 332.1 492.9 251.5 219.4 47.1 39.0 81.1 128.0

34 291 140 510 140 320

30 867 r128 730 r131 772

27 604 119 398 129 946

12 465 51 923 56 123

10 428 r43 893 r49 751

7 884 33 643 40 133

Chicago--Gary--Lake County, IL--IN--WI CMSA (pt.)
The area In central city Not in central city 128 181 80 352 47 829 128 80 80 47 181 352 352 829 123 137 77 685 45 452 123 77 77 45 137 685 685 452 117 917 78 805 39 112 117 78 78 39 917 805 805 112 51 262 31 197 20 065 51 31 31 20 262 197 197 065 47 506 29 411 18 095 47 29 29 18 506 411 411 095 39 110 24 872 14 238 39 24 24 14 110 872 872 238 1 953.8 65.0 1 888.8 1 953.8 65.0 65.0 1 888.8 1 953.8 3 833.3 143.6 143.6 3 689.7 3 833.3 4 368.5 77.1 77.1 4 291.4 2 697.1 1 671.3 1 594.1 140.6 140.6 1 453.5 1 594.1 1 881.0 104.9 42.5 62.4 1 776.1 1 881.0 754.4 25.1 729.3 754.4 25.1 25.1 729.3 754.4 1 480.0 55.4 55.4 1 424.6 1 480.0 1 686.7 29.8 29.8 1 656.9 1 041.4 645.3 615.5 54.3 54.3 561.2 615.5 726.3 40.5 16.4 24.1 685.8 726.3 706.6 55.8 650.8 706.6 55.8 55.8 650.8 706.6 3 391.0 95.7 95.7 3 295.3 3 391.0 4 268.7 71.7 71.7 4 197.0 2 617.1 1 651.5 1 369.4 113.5 113.5 1 255.8 1 369.4 1 866.2 102.8 41.9 60.9 1 763.4 1 866.2 272.8 21.5 251.3 272.8 21.5 21.5 251.3 272.8 1 309.3 36.9 36.9 1 272.3 1 309.3 1 648.1 27.7 27.7 1 620.5 1 010.5 637.7 528.7 43.8 43.8 484.9 528.7 720.5 39.7 16.2 23.5 680.8 720.5 181.4 1 440.0 73.5 181.4 1 440.0 1 440.0 73.5 181.4 12.3 283.5 283.5 4.4 12.3 32.2 793.0 793.0 19.2 20.0 51.6 142.1 849.9 849.9 78.1 142.1 74.8 853.2 849.0 856.0 29.4 74.8 469.9 3 737.3 190.3 469.9 3 737.3 3 737.3 190.3 469.9 31.9 735.3 735.3 11.5 31.9 83.5 2 052.6 2 052.6 49.8 51.8 133.6 368.1 2 202.4 2 202.4 202.4 368.1 193.6 2 209.2 2 195.9 2 218.4 76.1 193.6 72.5 559.1 30.8 72.5 559.1 559.1 30.8 72.5 6.1 122.1 122.1 2.7 6.1 12.6 305.2 305.2 7.6 8.0 19.8 54.6 350.0 350.0 27.9 54.6 29.4 342.3 334.9 347.3 11.1 29.4 187.9 1 451.0 79.8 187.9 1 451.0 1 451.0 79.8 187.9 15.7 316.6 316.6 7.0 15.7 32.6 789.9 789.9 19.7 20.8 51.3 141.4 907.0 907.0 72.2 141.4 76.1 886.3 866.2 900.1 28.9 76.1

Kenosha, WI PMSA
The area In central city Kenosha city Not in central city Kenosha County

128 181 41 27 27 14 758 134 134 624

123 137 44 29 29 14 421 571 571 850

117 917 44 32 32 12 657 237 237 420

51 262 20 11 11 8 610 684 684 926

47 506 20 11 11 8 141 988 988 153

39 110 16 10 10 5 882 997 997 885

Duluth, MN--WI MSA (pt.)
The area In central city Superior city Not in central city Douglas County

41 758 137 56 56 80 543 856 856 687

44 421 130 51 51 79 932 509 509 423

44 657 114 44 44 70 936 619 619 317

20 610 53 21 21 31 765 880 880 885

20 141 48 19 19 28 176 224 224 952

16 882 36 14 14 21 208 279 279 929

Eau Claire, WI MSA
The area In central city Eau Claire city Not in central city Chippewa County Eau Claire County

52 360 85 183 194 96 96 98 594 466 466 128

52 127 78 805 175 87 87 87 280 899 899 381

47 717 67 219 158 87 87 70 244 809 809 435

21 024 32 741 74 39 39 35 740 726 726 014

19 203 28 973 62 34 34 27 282 445 445 837

14 999 21 209 45 27 27 18 198 061 061 137

Green Bay, WI MSA
The area In central city Green Bay city Not in central city Brown County

194 594 139 87 35 52 51 510 706 573 133 804

175 280 139 86 35 51 53 420 278 207 071 142

158 244 131 82 35 46 49 970 155 729 426 815

74 740 54 35 14 21 19 840 186 033 153 654

62 282 52 32 13 19 19 103 707 415 292 396

45 198 41 26 11 14 15 814 393 821 572 421

Janesville--Beloit, WI MSA
The area In central city Beloit city Janesville city Not in central city Rock County

139 510

139 420

131 970

54 840

52 103

41 814

La Crosse, WI MSA
The area In central city La Crosse city Not in central city La Crosse County 97 51 51 46 904 003 003 901 91 48 48 42 056 347 347 709 80 50 50 30 468 286 286 182 38 20 20 17 239 897 897 342 33 18 18 14 277 757 757 520 25 16 16 8 433 573 573 860 1 243.1 52.3 52.3 1 190.8 1 243.1 480.0 20.2 20.2 459.8 480.0 1 172.7 47.5 47.5 1 125.1 1 172.7 452.8 18.4 18.4 434.4 452.8 83.5 1 073.7 1 073.7 41.7 83.5 216.2 2 771.9 2 771.9 108.0 216.2 32.6 439.9 439.9 15.4 32.6 84.5 1 135.7 1 135.7 39.9 84.5

97 904

91 056

80 468

38 239

33 277

25 433

Madison, WI MSA
The area In central city Madison city Not in central city Dane County 367 191 191 175 085 262 262 823 323 170 170 152 545 616 616 929 290 171 171 118 272 809 809 463 147 80 80 67 851 047 047 804 126 68 68 57 275 996 996 279 92 56 56 36 442 102 102 340 3 207.5 191.1 191.1 3 016.4 3 207.5 1 238.4 73.8 73.8 1 164.6 1 238.4 3 113.6 149.6 149.6 2 964.0 3 113.6 1 202.2 57.8 57.8 1 144.4 1 202.2 117.9 1 278.5 1 278.5 59.3 117.9 305.3 3 309.0 3 309.0 153.6 305.3 47.5 535.1 535.1 22.9 47.5 123.0 1 384.9 1 384.9 59.2 123.0

367 085

323 545

290 272

147 851

126 275

92 442

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 92 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

92 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 21.

Population and Housing Units 1970 to 1990; Land Area and Density for Metropolitan Area: 1990 Con.
Population Housing units Total area 1990 area measurements Land area Population per 1990 density Housing units per

[For information concerning historical counts, see " User Notes." MA’s are as defined for the 1990 census. Counts relate to component parts as defined at each census. Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Metropolitan Area
1990 1980 1970 1990 1980 1970

Square kilometers

Square miles

Square kilometers

Square miles

Square kilometer

Square mile

Square kilometer

Square mile

Milwaukee--Racine, WI CMSA
The area In central city Not in central city 1 607 183 769 344 837 839 r1 570 152 r772 387 r797 765 1 574 722 852 229 722 493 628 976 309 425 319 551 r584 031 r304 911 r279 120 501 875 289 035 212 840 10 656.6 343.9 10 312.8 4 114.5 132.8 3 981.8 4 644.2 333.7 4 310.5 1 793.1 128.8 1 664.3 346.1 2 305.5 194.4 896.3 5 973.2 503.4 135.4 927.3 74.1 350.8 2 402.4 192.0

Milwaukee, WI PMSA
The area In central city Milwaukee city Waukesha city Not in central city Milwaukee County Ozaukee County Washington County Waukesha County 1 432 685 628 56 747 149 046 088 958 103 r1 397 r686 r636 r50 r710 020 662 297 365 358 1 403 757 717 39 646 884 067 372 695 817 562 276 254 22 285 031 269 204 065 762 r521 r271 r253 r18 r249 466 929 564 365 537 449 257 246 11 191 046 993 092 901 053 8 605.4 295.8 250.8 45.0 8 309.6 3 081.6 2 891.2 1 129.0 1 503.5 3 322.5 114.2 96.8 17.4 3 208.3 1 189.8 1 116.3 435.9 580.5 3 781.3 293.7 248.8 44.8 3 487.7 625.6 600.8 1 115.9 1 439.0 1 460.0 113.4 96.1 17.3 1 346.6 241.6 232.0 430.8 555.6 378.7 2 332.5 2 524.5 1 271.4 214.2 1 533.4 121.2 85.4 211.8 980.9 6 041.0 6 535.8 3 292.4 554.8 3 970.5 313.9 221.3 548.4 148.6 940.7 1 021.7 492.5 81.9 624.5 44.1 30.8 76.8 385.0 2 436.2 2 645.2 1 275.4 212.2 1 617.2 114.1 79.8 198.8

959 275 72 831 95 328 304 715

964 988 66 981 84 848 r280 203

1 054 249 54 461 63 839 231 335

390 715 26 482 34 382 110 452

378 000 22 520 28 363 r92 583

349 762 15 351 18 692 65 241

Racine, WI PMSA
The area In central city Racine city Not in central city Racine County 175 84 84 90 034 298 298 736 173 85 85 87 132 725 725 407 170 95 95 75 838 162 162 676 66 33 33 33 945 156 156 789 62 32 32 29 565 982 982 583 52 31 31 21 829 042 042 787 2 051.2 48.1 48.1 2 003.1 2 051.2 792.0 18.6 18.6 773.4 792.0 862.8 40.0 40.0 822.8 862.8 333.1 15.4 15.4 317.7 333.1 202.9 2 107.5 2 107.5 110.3 202.9 525.5 5 473.9 5 473.9 285.6 525.5 77.6 828.9 828.9 41.1 77.6 201.0 2 153.0 2 153.0 106.4 201.0

175 034

173 132

170 838

66 945

62 565

52 829

Minneapolis--St. Paul, MN--WI MSA (pt.)
The area In central city Not in central city St. Croix County 50 251 – 50 251 50 251 43 262 – 43 262 43 262 34 354 – 34 354 34 354 18 519 – 18 519 18 519 14 924 – 14 924 14 924 10 376 – 10 376 10 376 1 905.9 – 1 905.9 1 905.9 735.9 – 735.9 735.9 1 869.9 – 1 869.9 1 869.9 722.0 – 722.0 722.0 26.9 – 26.9 26.9 69.6 – 69.6 69.6 9.9 – 9.9 9.9 25.6 – 25.6 25.6

Sheboygan, WI MSA
The area In central city Sheboygan city Not in central city Sheboygan County 103 49 49 54 877 676 676 201 100 48 48 52 935 085 085 850 96 48 48 48 660 484 484 176 40 20 20 20 695 588 588 107 37 18 18 18 351 818 818 533 31 16 16 14 207 481 481 726 3 292.0 34.6 34.6 3 257.4 3 292.0 1 271.1 13.4 13.4 1 257.7 1 271.1 1 330.4 34.3 34.3 1 296.1 1 330.4 513.7 13.2 13.2 500.4 513.7 78.1 1 448.3 1 448.3 41.8 78.1 202.2 3 763.3 3 763.3 108.3 202.2 30.6 600.2 600.2 15.5 30.6 79.2 1 559.7 1 559.7 40.2 79.2

103 877

100 935

96 660

40 695

37 351

31 207

Wausau, WI MSA
The area In central city Wausau city Not in central city Marathon County 115 37 37 78 400 060 060 340 111 32 32 78 270 426 426 844 97 32 32 64 457 806 806 651 43 15 15 28 774 318 318 456 39 13 13 26 752 295 295 457 29 11 11 18 771 254 254 517 4 082.5 39.7 39.7 4 042.8 4 082.5 1 576.2 15.3 15.3 1 560.9 1 576.2 4 001.7 36.5 36.5 3 965.3 4 001.7 1 545.1 14.1 14.1 1 531.0 1 545.1 28.8 1 015.3 1 015.3 19.8 28.8 74.7 2 628.4 2 628.4 51.2 74.7 10.9 419.7 419.7 7.2 10.9 28.3 1 086.4 1 086.4 18.6 28.3

115 400

111 270

97 457

43 774

39 752

29 771

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 93 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 93

Table 22.

Population, Housing Units, and Land Area for Metropolitan Area by Population Size Class of Metropolitan Area: 1990
Urban Inside urbanized area Outside urbanized area Rural

[MA’s are as defined for the 1990 census. For definitions of terms and meanings of symbols, see text]

Urban and Rural Population Size Class of Metropolitan Area Metropolitan Area
POPULATION
The State Inside metropolitan area In central city Not in central city 1,000,000 or more In central city Not in central city 5,000,000 or more In central city Not in central city Chicago--Gary--Lake County, IL--IN--WI CMSA (pt.) In central city Not in central city 2,500,000 to 4,999,999 In central city Not in central city 1,000,000 to 2,499,999 In central city Not in central city Milwaukee--Racine, WI CMSA In central city Not in central city Minneapolis--St. Paul, MN--WI MSA (pt.) In central city Not in central city Less than 1,000,000 In central city Not in central city 500,000 to 999,999 In central city Not in central city 250,000 to 499,999 In central city Not in central city Appleton--Oshkosh--Neenah, WI MSA In central city Not in central city Madison, WI MSA In central city Not in central city 100,000 to 249,999 In central city Not in central city Duluth, MN--WI MSA (pt.) In central city Not in central city Eau Claire, WI MSA In central city Not in central city Green Bay, WI MSA In central city Not in central city Janesville--Beloit, WI MSA In central city Not in central city Sheboygan, WI MSA In central city Not in central city Wausau, WI MSA In central city Not in central city Less than 100,000 In central city Not in central city La Crosse, WI MSA In central city Not in central city Outside metropolitan area

Total

Total

Total

In central place

Urban fringe

Total

Place of 10,000 or more

Place of 2,500 to 9,999

Total

In place of 1,000 to 2,499

In place of less than 1,000

Other rural

4 891 769 3 1 1 1 298 590 707 785 849 935 128 80 47 128 80 47 407 779 628 615 696 919 181 352 829 181 352 829 – – – 434 344 090 183 344 839 251 – 251 792 083 709 – – – 206 182 024 121 920 201 085 262 823 682 898 784 758 134 624 543 856 687 594 466 128 510 706 804 877 676 201 400 060 340 904 003 901 904 003 901

3 211 956 2 1 1 1 678 590 087 557 849 707 100 80 20 100 80 20 138 779 359 115 696 419 996 352 644 996 352 644 – – – 119 344 775 765 344 421 354 – 354 023 083 940 – – – 915 182 733 606 920 686 309 262 047 294 898 396 615 134 481 378 856 522 931 466 465 562 706 856 781 676 105 027 060 967 814 003 811 814 003 811

2 464 721 2 464 721 1 590 779 873 942 1 442 426 849 696 592 730 94 345 80 352 13 993 94 345 80 352 13 993 – – – 1 348 081 769 344 578 737 1 348 081 769 344 578 737 – – – 1 022 295 741 083 281 212 – – – 464 189 335 182 129 007 219 853 143 920 75 933 244 336 191 262 53 074 483 903 354 898 129 005 27 615 27 134 481 80 293 56 856 23 437 161 931 96 466 65 465 95 700 87 706 7 994 61 012 49 676 11 336 57 352 37 060 20 292 74 203 51 003 23 200 74 203 51 003 23 200 –

1 590 779 1 590 779 1 590 779 – 849 696 849 696 – 80 352 80 352 – 80 352 80 352 – – – – 769 344 769 344 – 769 344 769 344 – – – – 741 083 741 083 – – – – 335 182 335 182 – 143 920 143 920 – 191 262 191 262 – 354 898 354 898 – 27 134 27 134 – 56 856 56 856 – 96 466 96 466 – 87 706 87 706 – 49 676 49 676 – 37 060 37 060 – 51 003 51 003 – 51 003 51 003 – –

873 942 873 942 – 873 942 592 730 – 592 730 13 993 – 13 993 13 993 – 13 993 – – – 578 737 – 578 737 578 737 – 578 737 – – – 281 212 – 281 212 – – – 129 007 – 129 007 75 933 – 75 933 53 074 – 53 074 129 005 – 129 005 481 – 481 23 437 – 23 437 65 465 – 65 465 7 994 – 7 994 11 336 – 11 336 20 292 – 20 292 23 200 – 23 200 23 200 – 23 200 –

747 235 213 417 – 213 417 114 689 – 114 689 6 651 – 6 651 6 651 – 6 651 – – – 108 038 – 108 038 91 684 – 91 684 16 354 – 16 354 98 728 – 98 728 – – – 65 726 – 65 726 16 753 – 16 753 48 973 – 48 973 29 391 – 29 391 – – – 3 085 – 3 085 – – – 11 862 – 11 862 6 769 – 6 769 7 675 – 7 675 3 611 – 3 611 3 611 – 3 611 533 818

296 533 52 443 – 52 443 36 678 – 36 678 – – – – – – – – – 36 678 – 36 678 34 909 – 34 909 1 769 – 1 769 15 765 – 15 765 – – – 15 333 – 15 333 – – – 15 333 – 15 333 432 – 432 – – – – – – – – – – – – – – – 432 – 432 – – – – – – 244 090

450 702 160 974 – 160 974 78 011 – 78 011 6 651 – 6 651 6 651 – 6 651 – – – 71 360 – 71 360 56 775 – 56 775 14 585 – 14 585 82 963 – 82 963 – – – 50 393 – 50 393 16 753 – 16 753 33 640 – 33 640 28 959 – 28 959 – – – 3 085 – 3 085 – – – 11 862 – 11 862 6 769 – 6 769 7 243 – 7 243 3 611 – 3 611 3 611 – 3 611 289 728

1 679 813 620 269 – 620 269 228 500 – 228 500 27 185 – 27 185 27 185 – 27 185 – – – 201 315 – 201 315 167 418 – 167 418 33 897 – 33 897 391 769 – 391 769 – – – 152 291 – 152 291 78 515 – 78 515 73 776 – 73 776 219 388 – 219 388 14 143 – 14 143 54 165 – 54 165 32 663 – 32 663 31 948 – 31 948 36 096 – 36 096 50 373 – 50 373 20 090 – 20 090 20 090 – 20 090 1 059 544

246 297 89 986 – 89 986 33 441 – 33 441 4 844 – 4 844 4 844 – 4 844 – – – 28 597 – 28 597 22 344 – 22 344 6 253 – 6 253 56 545 – 56 545 – – – 19 782 – 19 782 6 451 – 6 451 13 331 – 13 331 34 656 – 34 656 – – – 11 156 – 11 156 5 074 – 5 074 3 068 – 3 068 8 239 – 8 239 7 119 – 7 119 2 107 – 2 107 2 107 – 2 107 156 311

135 995 22 455 – 22 455 6 549 – 6 549 – – – – – – – – – 6 549 – 6 549 4 700 – 4 700 1 849 – 1 849 15 906 – 15 906 – – – 6 237 – 6 237 3 646 – 3 646 2 591 – 2 591 9 160 – 9 160 2 256 – 2 256 1 646 – 1 646 415 – 415 764 – 764 1 958 – 1 958 2 121 – 2 121 509 – 509 509 – 509 113 540

1 297 521 507 828 – 507 828 188 510 – 188 510 22 341 – 22 341 22 341 – 22 341 – – – 166 169 – 166 169 140 374 – 140 374 25 795 – 25 795 319 318 – 319 318 – – – 126 272 – 126 272 68 418 – 68 418 57 854 – 57 854 175 572 – 175 572 11 887 – 11 887 41 363 – 41 363 27 174 – 27 174 28 116 – 28 116 25 899 – 25 899 41 133 – 41 133 17 474 – 17 474 17 474 – 17 474 789 693

1 657 769 888 1 607 769 837 50 50 1 512 741 771

1 456 769 686 1 439 769 670 16 16 1 121 741 379

682 335 347 315 143 171 367 191 175 732 354 377 41 27 14 137 56 80 194 96 98 139 87 51 103 49 54 115 37 78 97 51 46 97 51 46

529 335 194 236 143 92 293 191 102 513 354 158 27 27 83 56 26 161 96 65 107 87 19 67 49 18 65 37 27 77 51 26 77 51 26

1 593 362

533 818

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 94 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

94 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 22.

Population, Housing Units, and Land Area for Metropolitan Area by Population Size Class of Metropolitan Area: 1990 Con.
Urban Inside urbanized area Outside urbanized area Rural

[MA’s are as defined for the 1990 census. For definitions of terms and meanings of symbols, see text]

Urban and Rural Population Size Class of Metropolitan Area Metropolitan Area
HOUSING UNITS
The State Inside metropolitan area In central city Not in central city 1,000,000 or more In central city Not in central city 5,000,000 or more In central city Not in central city Chicago--Gary--Lake County, IL--IN--WI CMSA (pt.) In central city Not in central city 2,500,000 to 4,999,999 In central city Not in central city 1,000,000 to 2,499,999 In central city Not in central city Milwaukee--Racine, WI CMSA In central city Not in central city Minneapolis--St. Paul, MN--WI MSA (pt.) In central city Not in central city Less than 1,000,000 In central city Not in central city 500,000 to 999,999 In central city Not in central city 250,000 to 499,999 In central city Not in central city Appleton--Oshkosh--Neenah, WI MSA In central city Not in central city Madison, WI MSA In central city Not in central city 100,000 to 249,999 In central city Not in central city Duluth, MN--WI MSA (pt.) In central city Not in central city Eau Claire, WI MSA In central city Not in central city Green Bay, WI MSA In central city Not in central city Janesville--Beloit, WI MSA In central city Not in central city Sheboygan, WI MSA In central city Not in central city Wausau, WI MSA In central city Not in central city Less than 100,000 In central city Not in central city La Crosse, WI MSA In central city Not in central city Outside metropolitan area

Total

Total

Total

In central place

Urban fringe

Total

Place of 10,000 or more

Place of 2,500 to 9,999

Total

In place of 1,000 to 2,499

In place of less than 1,000

Other rural

2 055 774 1 293 642 651 698 340 358 51 31 20 51 31 20 782 564 218 757 622 135 262 197 065 262 197 065 – – – 495 425 070 976 425 551 519 – 519 025 942 083 – – – 362 663 699 511 616 895 851 047 804 424 382 042 610 684 926 765 880 885 740 726 014 840 186 654 695 588 107 774 318 456 239 897 342 239 897 342

1 284 087 1 066 642 424 617 340 276 39 31 8 39 31 8 808 564 244 430 622 808 900 197 703 900 197 703 – – – 530 425 105 034 425 609 496 – 496 378 942 436 – – – 663 663 000 177 616 561 486 047 439 633 382 251 879 684 195 704 880 824 577 726 851 909 186 723 764 588 176 800 318 482 082 897 185 082 897 185

984 568 984 642 342 572 340 232 36 31 5 36 31 5 568 564 004 828 622 206 530 197 333 530 197 333 – – – 298 425 873 298 425 873 – – – 740 942 798 – – – 045 663 382 718 616 102 327 047 280 928 382 546 879 684 195 414 880 534 577 726 851 088 186 902 947 588 359 023 318 705 767 897 870 767 897 870 –

642 564 642 564 642 564 – 340 622 340 622 – 31 197 31 197 – 31 197 31 197 – – – – 309 425 309 425 – 309 425 309 425 – – – – 301 942 301 942 – – – – 136 663 136 663 – 56 616 56 616 – 80 047 80 047 – 144 382 144 382 – 11 684 11 684 – 21 880 21 880 – 39 726 39 726 – 35 186 35 186 – 20 588 20 588 – 15 318 15 318 – 20 897 20 897 – 20 897 20 897 – –

342 004 342 004 – 342 004 232 206 – 232 206 5 333 – 5 333 5 333 – 5 333 – – – 226 873 – 226 873 226 873 – 226 873 – – – 109 798 – 109 798 – – – 52 382 – 52 382 29 102 – 29 102 23 280 – 23 280 48 546 – 48 546 195 – 195 9 534 – 9 534 23 851 – 23 851 2 902 – 2 902 4 359 – 4 359 7 705 – 7 705 8 870 – 8 870 8 870 – 8 870 –

299 519 82 240 – 82 240 44 602 – 44 602 3 370 – 3 370 3 370 – 3 370 – – – 41 232 – 41 232 34 736 – 34 736 6 496 – 6 496 37 638 – 37 638 – – – 24 618 – 24 618 6 459 – 6 459 18 159 – 18 159 11 705 – 11 705 – – – 1 290 – 1 290 – – – 4 821 – 4 821 2 817 – 2 817 2 777 – 2 777 1 315 – 1 315 1 315 – 1 315 217 279

116 577 19 863 – 19 863 13 952 – 13 952 – – – – – – – – – 13 952 – 13 952 13 237 – 13 237 715 – 715 5 911 – 5 911 – – – 5 718 – 5 718 – – – 5 718 – 5 718 193 – 193 – – – – – – – – – – – – – – – 193 – 193 – – – – – – 96 714

182 942 62 377 – 62 377 30 650 – 30 650 3 370 – 3 370 3 370 – 3 370 – – – 27 280 – 27 280 21 499 – 21 499 5 781 – 5 781 31 727 – 31 727 – – – 18 900 – 18 900 6 459 – 6 459 12 441 – 12 441 11 512 – 11 512 – – – 1 290 – 1 290 – – – 4 821 – 4 821 2 817 – 2 817 2 584 – 2 584 1 315 – 1 315 1 315 – 1 315 120 565

771 687 226 974 – 226 974 81 327 – 81 327 11 362 – 11 362 11 362 – 11 362 – – – 69 965 – 69 965 57 942 – 57 942 12 023 – 12 023 145 647 – 145 647 – – – 54 699 – 54 699 28 334 – 28 334 26 365 – 26 365 83 791 – 83 791 8 731 – 8 731 21 061 – 21 061 11 163 – 11 163 11 931 – 11 931 12 931 – 12 931 17 974 – 17 974 7 157 – 7 157 7 157 – 7 157 544 713

108 581 35 539 – 35 539 13 542 – 13 542 2 607 – 2 607 2 607 – 2 607 – – – 10 935 – 10 935 8 483 – 8 483 2 452 – 2 452 21 997 – 21 997 – – – 7 501 – 7 501 2 498 – 2 498 5 003 – 5 003 13 738 – 13 738 – – – 4 652 – 4 652 1 970 – 1 970 1 132 – 1 132 3 164 – 3 164 2 820 – 2 820 758 – 758 758 – 758 73 042

60 725 9 143 – 9 143 2 517 – 2 517 – – – – – – – – – 2 517 – 2 517 1 790 – 1 790 727 – 727 6 626 – 6 626 – – – 2 380 – 2 380 1 416 – 1 416 964 – 964 4 089 – 4 089 1 406 – 1 406 676 – 676 146 – 146 298 – 298 708 – 708 855 – 855 157 – 157 157 – 157 51 582

602 381 182 292 – 182 292 65 268 – 65 268 8 755 – 8 755 8 755 – 8 755 – – – 56 513 – 56 513 47 669 – 47 669 8 844 – 8 844 117 024 – 117 024 – – – 44 818 – 44 818 24 420 – 24 420 20 398 – 20 398 65 964 – 65 964 7 325 – 7 325 15 733 – 15 733 9 047 – 9 047 10 501 – 10 501 9 059 – 9 059 14 299 – 14 299 6 242 – 6 242 6 242 – 6 242 420 089

647 309 338 628 309 319 18 18 595 301 293

577 309 268 571 309 261 6 6 449 301 147

536 309 226 536 309 226

411 301 109

268 136 131 120 56 63 147 80 67 288 144 144 20 11 8 53 21 31 74 39 35 54 35 19 40 20 20 43 15 28 38 20 17 38 20 17

213 136 77 92 56 35 121 80 41 204 144 60 11 11 32 21 10 63 39 23 42 35 7 27 20 7 25 15 10 31 20 10 31 20 10

189 136 52 85 56 29 103 80 23 192 144 48 11 11 31 21 9 63 39 23 38 35 2 24 20 4 23 15 7 29 20 8 29 20 8

761 992

217 279

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 95 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 95

Table 22.

Population, Housing Units, and Land Area for Metropolitan Area by Population Size Class of Metropolitan Area: 1990 Con.
Urban Inside urbanized area Outside urbanized area Rural

[MA’s are as defined for the 1990 census. For definitions of terms and meanings of symbols, see text]

Urban and Rural Population Size Class of Metropolitan Area Metropolitan Area
LAND AREA IN SQUARE KILOMETERS
The State Inside metropolitan area In central city Not in central city 1,000,000 or more In central city Not in central city 5,000,000 or more In central city Not in central city Chicago--Gary--Lake County, IL--IN--WI CMSA (pt.) In central city Not in central city 2,500,000 to 4,999,999 In central city Not in central city 1,000,000 to 2,499,999 In central city Not in central city Milwaukee--Racine, WI CMSA In central city Not in central city Minneapolis--St. Paul, MN--WI MSA (pt.) In central city Not in central city Less than 1,000,000 In central city Not in central city 500,000 to 999,999 In central city Not in central city 250,000 to 499,999 In central city Not in central city Appleton--Oshkosh--Neenah, WI MSA In central city Not in central city Madison, WI MSA In central city Not in central city 100,000 to 249,999 In central city Not in central city Duluth, MN--WI MSA (pt.) In central city Not in central city Eau Claire, WI MSA In central city Not in central city Green Bay, WI MSA In central city Not in central city Janesville--Beloit, WI MSA In central city Not in central city Sheboygan, WI MSA In central city Not in central city Wausau, WI MSA In central city Not in central city Less than 100,000 In central city Not in central city La Crosse, WI MSA In central city Not in central city Outside metropolitan area

Total

Total

Total

In central place

Urban fringe

Total

Place of 10,000 or more

Place of 2,500 to 9,999

Total

In place of 1,000 to 2,499

In place of less than 1,000

Other rural

140 672.4 31 1 30 7 6 357.4 151.2 206.2 220.6 389.5 831.2 706.6 55.8 650.8 706.6 55.8 650.8 – – – 514.0 333.7 180.4 644.2 333.7 310.5 869.9 – 869.9 136.8 761.7 375.1 – – – 736.7 259.7 477.1 623.1 110.1 513.0 113.6 149.6 964.0 227.3 454.5 772.9 391.0 95.7 295.3 268.7 71.7 197.0 369.4 113.5 255.8 866.2 102.8 763.4 330.4 34.3 296.1 001.7 36.5 965.3 172.7 47.5 125.1 172.7 47.5 125.1

4 086.2 3 1 2 1 1 180.0 151.2 028.8 706.9 389.5 317.4 124.0 55.8 68.2 124.0 55.8 68.2 – – – 582.9 333.7 249.2 557.5 333.7 223.8 25.4 – 25.4 473.1 761.7 711.4 – – – 551.9 259.7 292.2 242.2 110.1 132.2 309.6 149.6 160.0 834.9 454.5 380.4 98.9 95.7 3.2 124.2 71.7 52.5 259.2 113.5 145.7 137.0 102.8 34.2 77.0 34.3 42.7 138.5 36.5 102.0 86.4 47.5 38.9 86.4 47.5 38.9 906.2

2 837.7 2 1 1 1 1 837.7 151.2 686.5 533.2 389.5 143.7 106.5 55.8 50.7 106.5 55.8 50.7 – – – 426.7 333.7 093.0 426.7 333.7 093.0 – – – 304.5 761.7 542.8 – – – 457.5 259.7 197.9 204.4 110.1 94.4 253.1 149.6 103.5 765.3 454.5 310.8 98.9 95.7 3.2 117.9 71.7 46.3 259.2 113.5 145.7 117.2 102.8 14.3 67.8 34.3 33.5 104.4 36.5 67.9 81.7 47.5 34.1 81.7 47.5 34.1 –

1 151.2 1 151.2 1 151.2 – 389.5 389.5 – 55.8 55.8 – 55.8 55.8 – – – – 333.7 333.7 – 333.7 333.7 – – – – 761.7 761.7 – – – – 259.7 259.7 – 110.1 110.1 – 149.6 149.6 – 454.5 454.5 – 95.7 95.7 – 71.7 71.7 – 113.5 113.5 – 102.8 102.8 – 34.3 34.3 – 36.5 36.5 – 47.5 47.5 – 47.5 47.5 – –

1 686.5 1 686.5 – 1 686.5 1 143.7 – 1 143.7 50.7 – 50.7 50.7 – 50.7 – – – 1 093.0 – 1 093.0 1 093.0 – 1 093.0 – – – 542.8 – 542.8 – – – 197.9 – 197.9 94.4 – 94.4 103.5 – 103.5 310.8 – 310.8 3.2 – 3.2 46.3 – 46.3 145.7 – 145.7 14.3 – 14.3 33.5 – 33.5 67.9 – 67.9 34.1 – 34.1 34.1 – 34.1 –

1 248.5 342.3 – 342.3 173.7 – 173.7 17.5 – 17.5 17.5 – 17.5 – – – 156.2 – 156.2 130.8 – 130.8 25.4 – 25.4 168.6 – 168.6 – – – 94.3 – 94.3 37.8 – 37.8 56.6 – 56.6 69.5 – 69.5 – – – 6.3 – 6.3 – – – 19.9 – 19.9 9.3 – 9.3 34.1 – 34.1 4.7 – 4.7 4.7 – 4.7 906.2

367.4 66.0 – 66.0 44.2 – 44.2 – – – – – – – – – 44.2 – 44.2 41.0 – 41.0 3.2 – 3.2 21.8 – 21.8 – – – 18.2 – 18.2 – – – 18.2 – 18.2 3.6 – 3.6 – – – – – – – – – – – – – – – 3.6 – 3.6 – – – – – – 301.4

881.1 276.4 – 276.4 129.5 – 129.5 17.5 – 17.5 17.5 – 17.5 – – – 112.0 – 112.0 89.8 – 89.8 22.2 – 22.2 146.8 – 146.8 – – – 76.1 – 76.1 37.8 – 37.8 38.4 – 38.4 66.0 – 66.0 – – – 6.3 – 6.3 – – – 19.9 – 19.9 9.3 – 9.3 30.6 – 30.6 4.7 – 4.7 4.7 – 4.7 604.8

136 586.2 28 177.4 – 28 177.4 5 513.8 – 5 513.8 582.6 – 582.6 582.6 – 582.6 – – – 4 931.2 – 4 931.2 3 086.7 – 3 086.7 1 844.5 – 1 844.5 22 663.6 – 22 663.6 – – – 6 184.9 – 6 184.9 3 380.9 – 3 380.9 2 804.0 – 2 804.0 15 392.5 – 15 392.5 3 292.1 – 3 292.1 4 144.5 – 4 144.5 1 110.1 – 1 110.1 1 729.2 – 1 729.2 1 253.4 – 1 253.4 3 863.2 – 3 863.2 1 086.3 – 1 086.3 1 086.3 – 1 086.3 108 408.8

878.2 280.4 – 280.4 106.7 – 106.7 18.6 – 18.6 18.6 – 18.6 – – – 88.1 – 88.1 68.0 – 68.0 20.1 – 20.1 173.7 – 173.7 – – – 46.0 – 46.0 15.8 – 15.8 30.2 – 30.2 117.3 – 117.3 – – – 49.3 – 49.3 13.6 – 13.6 5.0 – 5.0 18.9 – 18.9 30.5 – 30.5 10.4 – 10.4 10.4 – 10.4 597.8

1 215.8 203.3 – 203.3 39.5 – 39.5 – – – – – – – – – 39.5 – 39.5 25.3 – 25.3 14.2 – 14.2 163.8 – 163.8 – – – 43.4 – 43.4 35.7 – 35.7 7.8 – 7.8 119.2 – 119.2 73.1 – 73.1 16.8 – 16.8 3.6 – 3.6 2.6 – 2.6 7.1 – 7.1 16.0 – 16.0 1.2 – 1.2 1.2 – 1.2 1 012.5

134 492.3 27 693.7 – 27 693.7 5 367.6 – 5 367.6 564.0 – 564.0 564.0 – 564.0 – – – 4 803.5 – 4 803.5 2 993.4 – 2 993.4 1 810.2 – 1 810.2 22 326.1 – 22 326.1 – – – 6 095.4 – 6 095.4 3 329.4 – 3 329.4 2 766.0 – 2 766.0 15 156.0 – 15 156.0 3 219.0 – 3 219.0 4 078.4 – 4 078.4 1 092.9 – 1 092.9 1 721.6 – 1 721.6 1 227.4 – 1 227.4 3 816.7 – 3 816.7 1 074.7 – 1 074.7 1 074.7 – 1 074.7 106 798.6

6 6 4 4 1 1 24 23

1 1 1 1

1 1 1 1

1

1

6 6 3 3 3 2 16 15 3 3 4 4 1 1 1 1 1 1 4 3 1 1 1 1

109 315.0

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 96 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

96 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 22.

Population, Housing Units, and Land Area for Metropolitan Area by Population Size Class of Metropolitan Area: 1990 Con.
Urban Inside urbanized area Outside urbanized area Rural

[MA’s are as defined for the 1990 census. For definitions of terms and meanings of symbols, see text]

Urban and Rural Population Size Class of Metropolitan Area Metropolitan Area
LAND AREA IN SQUARE MILES
The State Inside metropolitan area In central city Not in central city 1,000,000 or more In central city Not in central city 5,000,000 or more In central city Not in central city Chicago--Gary--Lake County, IL--IN--WI CMSA (pt.) In central city Not in central city 2,500,000 to 4,999,999 In central city Not in central city 1,000,000 to 2,499,999 In central city Not in central city Milwaukee--Racine, WI CMSA In central city Not in central city Minneapolis--St. Paul, MN--WI MSA (pt.) In central city Not in central city Less than 1,000,000 In central city Not in central city 500,000 to 999,999 In central city Not in central city 250,000 to 499,999 In central city Not in central city Appleton--Oshkosh--Neenah, WI MSA In central city Not in central city Madison, WI MSA In central city Not in central city 100,000 to 249,999 In central city Not in central city Duluth, MN--WI MSA (pt.) In central city Not in central city Eau Claire, WI MSA In central city Not in central city Green Bay, WI MSA In central city Not in central city Janesville--Beloit, WI MSA In central city Not in central city Sheboygan, WI MSA In central city Not in central city Wausau, WI MSA In central city Not in central city Less than 100,000 In central city Not in central city La Crosse, WI MSA In central city Not in central city Outside metropolitan area

Total

Total

Total

In central place

Urban fringe

Total

Place of 10,000 or more

Place of 2,500 to 9,999

Total

In place of 1,000 to 2,499

In place of less than 1,000

Other rural

54 313.7 12 107.1 444.5 11 662.6 2 787.9 150.4 2 637.5 272.8 21.5 251.3 272.8 21.5 251.3 – – – 2 515.1 128.8 2 386.2 1 793.1 128.8 1 664.3 722.0 – 722.0 9 319.2 294.1 9 025.1 – – – 2 601.1 100.3 2 500.8 1 398.9 42.5 1 356.4 1 202.2 57.8 1 144.4 6 265.4 175.5 6 089.9 1 309.3 36.9 1 272.3 1 648.1 27.7 1 620.5 528.7 43.8 484.9 720.5 39.7 680.8 513.7 13.2 500.4 1 545.1 14.1 1 531.0 452.8 18.4 434.4 452.8 18.4 434.4 42 206.6

1 577.7 1 227.8 444.5 783.3 659.0 150.4 508.6 47.9 21.5 26.3 47.9 21.5 26.3 – – – 611.1 128.8 482.3 601.3 128.8 472.5 9.8 – 9.8 568.8 294.1 274.7 – – – 213.1 100.3 112.8 93.5 42.5 51.0 119.6 57.8 61.8 322.3 175.5 146.9 38.2 36.9 1.2 48.0 27.7 20.3 100.1 43.8 56.3 52.9 39.7 13.2 29.7 13.2 16.5 53.5 14.1 39.4 33.4 18.4 15.0 33.4 18.4 15.0 349.9

1 095.6 1 095.6 444.5 651.2 591.9 150.4 441.6 41.1 21.5 19.6 41.1 21.5 19.6 – – – 550.8 128.8 422.0 550.8 128.8 422.0 – – – 503.7 294.1 209.6 – – – 176.7 100.3 76.4 78.9 42.5 36.4 97.7 57.8 40.0 295.5 175.5 120.0 38.2 36.9 1.2 45.5 27.7 17.9 100.1 43.8 56.3 45.2 39.7 5.5 26.2 13.2 12.9 40.3 14.1 26.2 31.5 18.4 13.2 31.5 18.4 13.2 –

444.5 444.5 444.5 – 150.4 150.4 – 21.5 21.5 – 21.5 21.5 – – – – 128.8 128.8 – 128.8 128.8 – – – – 294.1 294.1 – – – – 100.3 100.3 – 42.5 42.5 – 57.8 57.8 – 175.5 175.5 – 36.9 36.9 – 27.7 27.7 – 43.8 43.8 – 39.7 39.7 – 13.2 13.2 – 14.1 14.1 – 18.4 18.4 – 18.4 18.4 – –

651.2 651.2 – 651.2 441.6 – 441.6 19.6 – 19.6 19.6 – 19.6 – – – 422.0 – 422.0 422.0 – 422.0 – – – 209.6 – 209.6 – – – 76.4 – 76.4 36.4 – 36.4 40.0 – 40.0 120.0 – 120.0 1.2 – 1.2 17.9 – 17.9 56.3 – 56.3 5.5 – 5.5 12.9 – 12.9 26.2 – 26.2 13.2 – 13.2 13.2 – 13.2 –

482.0 132.2 – 132.2 67.1 – 67.1 6.8 – 6.8 6.8 – 6.8 – – – 60.3 – 60.3 50.5 – 50.5 9.8 – 9.8 65.1 – 65.1 – – – 36.4 – 36.4 14.6 – 14.6 21.8 – 21.8 26.8 – 26.8 – – – 2.4 – 2.4 – – – 7.7 – 7.7 3.6 – 3.6 13.2 – 13.2 1.8 – 1.8 1.8 – 1.8 349.9

141.8 25.5 – 25.5 17.1 – 17.1 – – – – – – – – – 17.1 – 17.1 15.8 – 15.8 1.2 – 1.2 8.4 – 8.4 – – – 7.0 – 7.0 – – – 7.0 – 7.0 1.4 – 1.4 – – – – – – – – – – – – – – – 1.4 – 1.4 – – – – – – 116.4

340.2 106.7 – 106.7 50.0 – 50.0 6.8 – 6.8 6.8 – 6.8 – – – 43.2 – 43.2 34.7 – 34.7 8.6 – 8.6 56.7 – 56.7 – – – 29.4 – 29.4 14.6 – 14.6 14.8 – 14.8 25.5 – 25.5 – – – 2.4 – 2.4 – – – 7.7 – 7.7 3.6 – 3.6 11.8 – 11.8 1.8 – 1.8 1.8 – 1.8 233.5

52 736.0 10 879.3 – 10 879.3 2 128.9 – 2 128.9 224.9 – 224.9 224.9 – 224.9 – – – 1 903.9 – 1 903.9 1 191.8 – 1 191.8 712.2 – 712.2 8 750.4 – 8 750.4 – – – 2 388.0 – 2 388.0 1 305.4 – 1 305.4 1 082.6 – 1 082.6 5 943.0 – 5 943.0 1 271.1 – 1 271.1 1 600.2 – 1 600.2 428.6 – 428.6 667.6 – 667.6 483.9 – 483.9 1 491.6 – 1 491.6 419.4 – 419.4 419.4 – 419.4 41 856.7

339.1 108.3 – 108.3 41.2 – 41.2 7.2 – 7.2 7.2 – 7.2 – – – 34.0 – 34.0 26.2 – 26.2 7.8 – 7.8 67.1 – 67.1 – – – 17.8 – 17.8 6.1 – 6.1 11.7 – 11.7 45.3 – 45.3 – – – 19.0 – 19.0 5.2 – 5.2 1.9 – 1.9 7.3 – 7.3 11.8 – 11.8 4.0 – 4.0 4.0 – 4.0 230.8

469.4 78.5 – 78.5 15.3 – 15.3 – – – – – – – – – 15.3 – 15.3 9.8 – 9.8 5.5 – 5.5 63.3 – 63.3 – – – 16.8 – 16.8 13.8 – 13.8 3.0 – 3.0 46.0 – 46.0 28.2 – 28.2 6.5 – 6.5 1.4 – 1.4 1.0 – 1.0 2.7 – 2.7 6.2 – 6.2 .5 – .5 .5 – .5 390.9

51 927.5 10 692.5 – 10 692.5 2 072.4 – 2 072.4 217.8 – 217.8 217.8 – 217.8 – – – 1 854.7 – 1 854.7 1 155.7 – 1 155.7 698.9 – 698.9 8 620.1 – 8 620.1 – – – 2 353.4 – 2 353.4 1 285.5 – 1 285.5 1 067.9 – 1 067.9 5 851.7 – 5 851.7 1 242.9 – 1 242.9 1 574.7 – 1 574.7 422.0 – 422.0 664.7 – 664.7 473.9 – 473.9 1 473.6 – 1 473.6 414.9 – 414.9 414.9 – 414.9 41 235.0

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 97 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 97

Table 23.

Population, Housing Units, and Land Area for Urbanized Area: 1990
Area measurements Density Land area Population per Housing units per

[Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Urbanized Area
Population Housing units

Total area

Square kilometers

Square miles

Square kilometers

Square miles

Square kilometer

Square mile

Square kilometer

Square mile

Appleton--Neenah, WI
The area In central place Appleton city† Neenah city† Urban fringe Calumet County (pt.)† Appleton city (pt.)† Harrison town (pt.) Menasha city (pt.)† Outagamie County (pt.)† Appleton city (pt.)† Buchanan town (pt.)† Combined Locks village† Grand Chute town (pt.)† Greenville town (pt.) Kaukauna city† Kimberly village† Little Chute village† Vandenbroek town (pt.)† Winnebago County (pt.)† Appleton city (pt.)† Clayton town (pt.) Menasha city (pt.)† Menasha town (pt.)† Neenah city† Neenah town (pt.)† 160 88 65 23 72 918 914 695 219 004 62 34 25 9 27 630 789 528 261 841 161.0 66.2 45.6 20.6 94.8 7.9 5.6 1.6 .8 91.6 39.1 3.2 3.6 16.0 1.6 13.2 4.8 9.9 .1 61.5 .9 .1 14.8 21.0 20.6 4.0 62.1 25.6 17.6 8.0 36.6 3.0 2.2 .6 .3 35.4 15.1 1.2 1.4 6.2 .6 5.1 1.9 3.8 – 23.8 .3 .1 5.7 8.1 8.0 1.6 149.1 63.6 44.4 19.2 85.5 7.9 5.6 1.6 .8 87.3 37.9 3.2 3.1 15.7 1.6 12.2 4.4 9.1 .1 54.0 .9 .1 11.1 18.6 19.2 3.9 57.6 24.6 17.1 7.4 33.0 3.0 2.2 .6 .3 33.7 14.6 1.2 1.2 6.0 .6 4.7 1.7 3.5 – 20.8 .3 .1 4.3 7.2 7.4 1.5 1 1 1 1 079.3 398.0 479.6 209.3 842.2 2 3 3 3 2 793.7 614.4 841.8 137.7 181.9 420.1 547.0 575.0 482.3 325.6 437.6 563.0 173.8 32.5 431.9 582.8 120.0 238.1 287.1 138.1 365.1 470.2 355.2 100.0 397.6 318.9 380.0 553.3 279.3 482.3 140.0 1 1 1 1 087.3 414.2 492.9 251.5 843.7

9 840 9 075 692 73 98 56 1 2 11 219 177 309 190 318 597 11 982 5 406 9 207 33 52 859 443 103 14 638 13 004 23 219 1 452

3 457 3 153 278 26 37 704 22 088 384 738 4 508 221 4 454 2 069 3 232 10 21 469 287 38 6 142 5 195 9 261 546

1 245.6 1 620.5 432.5 91.3 1 125.1 1 482.2 409.1 706.5 720.9 373.1 982.1 1 228.6 1 011.8 330.0 978.9 492.2 1 030.0 1 318.7 699.1 1 209.3 372.3

3 280.0 4 125.0 1 153.3 243.3 914.5 847.7 090.8 825.0 886.3 995.0 2 549.4 3 180.0 2 630.6 – 2 1 1 3 1 3 541.3 476.7 030.0 404.2 806.1 137.7 968.0 2 3 1 1 1

1 152.3 1 433.2 463.3 86.7 1 118.8 1 512.9 320.0 615.0 751.3 368.3 947.7 1 217.1 923.4 – 1 032.2 956.7 380.0 1 428.4 721.5 1 251.5 364.0

Beloit, WI--IL (pt.)
The area In central place Beloit city† Urban fringe Rock County (pt.)† Beloit city† Beloit town (pt.)† Rock town (pt.)† Turtle town (pt.)† 42 35 35 7 705 573 573 132 16 14 14 2 864 033 033 831 56.2 42.5 42.5 13.7 56.2 42.5 11.6 1.3 .8 21.7 16.4 16.4 5.3 21.7 16.4 4.5 .5 .3 54.7 41.9 41.9 12.8 54.7 41.9 10.6 1.3 .8 21.1 16.2 16.2 4.9 21.1 16.2 4.1 .5 .3 780.7 849.0 849.0 557.2 780.7 849.0 530.3 580.0 946.3 2 2 2 1 2 2 1 1 2 023.9 195.9 195.9 455.5 023.9 195.9 371.0 508.0 523.3 308.3 334.9 334.9 221.2 308.3 334.9 207.2 260.0 371.3 799.2 866.2 866.2 577.8 799.2 866.2 535.6 676.0 990.0

42 705 35 573 5 621 754 757

16 864 14 033 2 196 338 297

Duluth, MN--WI (pt.)
The area In central place Superior city Urban fringe Douglas County (pt.)† Superior city Superior village 27 615 27 134 27 134 481 27 615 27 134 481 11 879 11 684 11 684 195 11 879 11 684 195 146.8 127.3 143.6 3.2 146.8 143.6 3.2 56.7 49.2 55.4 1.2 56.7 55.4 1.2 98.9 95.7 95.7 3.2 98.9 95.7 3.2 38.2 36.9 36.9 1.2 38.2 36.9 1.2 279.2 283.5 283.5 150.3 279.2 283.5 150.3 722.9 735.3 735.3 400.8 722.9 735.3 400.8 120.1 122.1 122.1 60.9 120.1 122.1 60.9 311.0 316.6 316.6 162.5 311.0 316.6 162.5

Eau Claire, WI
The area In central place Eau Claire city† Urban fringe Chippewa County (pt.)† Chippewa Falls city† Eagle Point town (pt.) Eau Claire city (pt.)† Hallie town (pt.) Lafayette town (pt.) Wheaton town (pt.) Eau Claire County (pt.)† Altoona city† Brunswick town (pt.)† Eau Claire city (pt.)† Union town (pt.)† Washington town (pt.)† 80 56 56 23 293 856 856 437 31 21 21 9 414 880 880 534 125.5 77.1 77.1 48.5 43.4 27.1 .1 9.5 6.3 .3 .1 82.1 11.1 .2 67.5 .4 2.8 48.5 29.8 29.8 18.7 16.8 10.5 – 3.7 2.4 .1 – 31.7 4.3 .1 26.1 .2 1.1 117.9 71.7 71.7 46.3 41.5 25.5 .1 9.3 6.3 .3 .1 76.4 10.6 .2 62.4 .4 2.8 45.5 27.7 27.7 17.9 16.0 9.8 – 3.6 2.4 .1 – 29.5 4.1 .1 24.1 .2 1.1 681.0 793.0 793.0 506.2 406.0 499.1 290.0 180.2 371.1 123.3 440.0 830.4 555.6 215.0 884.3 420.0 772.1 1 2 2 1 764.7 052.6 052.6 309.3 266.4 305.2 305.2 205.9 163.7 209.3 100.0 60.6 135.6 40.0 170.0 322.2 226.1 75.0 341.6 187.5 291.4 690.4 789.9 789.9 532.6 424.7 544.7 – 156.7 355.8 120.0 – 834.5 584.6 150.0 884.5 375.0 741.8

16 851 12 727 29 1 676 2 338 37 44 63 442 5 889 43 55 180 168 2 162

6 795 5 338 10 564 854 12 17 24 619 2 397 15 21 316 75 816

1 053.2 1 298.7 – 465.6 974.2 370.0 – 2 150.6 1 436.3 430.0 2 289.6 840.0 1 965.5

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 98 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

98 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 23.

Population, Housing Units, and Land Area for Urbanized Area: 1990 Con.
Area measurements Density Land area Population per Housing units per

[Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Urbanized Area
Population Housing units

Total area

Square kilometers

Square miles

Square kilometers

Square miles

Square kilometer

Square mile

Square kilometer

Square mile

Green Bay, WI
The area In central place Green Bay city† Urban fringe Brown County (pt.)† Allouez village† Ashwaubenon village† Bellevue town Bellevue Town CDP De Pere city† De Pere town (pt.)† Green Bay city† Hobart town (pt.)† Howard village† Scott town (pt.) 161 96 96 65 161 14 16 7 7 16 931 466 466 465 63 39 39 23 63 5 6 2 2 5 577 726 726 851 303.5 140.6 140.6 162.9 303.5 13.3 28.0 37.0 37.0 23.4 – 140.6 1.6 59.4 – 63.9 62.4 62.4 1.6 63.9 .2 62.4 1.3 – 115.8 65.0 65.0 50.8 115.8 65.0 45.5 – 5.3 89.5 52.3 52.3 37.2 89.5 7.1 7.1 4.8 52.3 .1 18.1 5.4 1.7 296.9 150.6 191.1 105.9 296.9 3.9 .1 .1 53.8 8.0 191.1 9.8 1.8 16.7 .3 8.8 2.1 .5 117.2 54.3 54.3 62.9 117.2 5.2 10.8 14.3 14.3 9.0 – 54.3 .6 22.9 – 24.7 24.1 24.1 .6 24.7 .1 24.1 .5 – 44.7 25.1 25.1 19.6 44.7 25.1 17.6 – 2.0 34.6 20.2 20.2 14.4 34.6 2.7 2.7 1.9 20.2 – 7.0 2.1 .7 114.7 58.1 73.8 40.9 114.7 1.5 .1 – 20.8 3.1 73.8 3.8 .7 6.5 .1 3.4 .8 .2 259.2 113.5 113.5 145.7 259.2 12.0 27.1 36.9 36.9 21.6 – 113.5 1.6 46.5 – 62.5 60.9 60.9 1.6 62.5 .2 60.9 1.3 – 106.4 55.8 55.8 50.6 106.4 55.8 45.3 – 5.3 81.7 47.5 47.5 34.1 81.7 5.5 5.5 4.8 47.5 .1 16.7 5.4 1.6 253.1 149.6 149.6 103.5 253.1 3.0 .1 .1 53.8 8.0 149.6 8.5 1.8 16.7 .3 8.6 2.1 .5 100.1 43.8 43.8 56.3 100.1 4.6 10.4 14.2 14.2 8.3 – 43.8 .6 18.0 – 24.1 23.5 23.5 .6 24.1 .1 23.5 .5 – 41.1 21.5 21.5 19.5 41.1 21.5 17.5 – 2.0 31.5 18.4 18.4 13.2 31.5 2.1 2.1 1.9 18.4 – 6.4 2.1 .6 97.7 57.8 57.8 40.0 97.7 1.2 .1 – 20.8 3.1 57.8 3.3 .7 6.4 .1 3.3 .8 .2 624.7 849.9 849.9 449.3 624.7 1 202.6 604.3 204.4 204.4 767.1 – 849.9 371.3 212.3 – 847.9 856.0 856.0 538.8 847.9 200.0 856.0 605.4 – 886.2 1 440.0 1 440.0 275.5 886.2 1 440.0 248.0 – 503.4 908.2 1 073.7 1 073.7 680.4 908.2 814.2 814.2 670.8 1 073.7 1 000.0 675.7 434.3 1 108.1 965.4 1 278.5 1 278.5 512.8 965.4 376.3 630.0 210.0 281.7 654.0 1 278.5 757.9 751.1 795.7 30.0 1 004.3 800.0 126.0 1 2 2 1 617.7 202.4 202.4 162.8 245.3 350.0 350.0 163.7 245.3 422.2 230.4 77.8 77.8 274.9 – 350.0 117.5 75.6 – 339.6 347.3 347.3 44.4 339.6 75.0 347.3 33.8 – 343.0 559.1 559.1 104.8 343.0 559.1 90.4 – 225.5 364.3 439.9 439.9 260.1 364.3 314.7 314.7 241.7 439.9 400.0 262.2 145.4 485.0 408.2 535.1 535.1 224.9 408.2 150.7 410.0 100.0 120.7 239.4 535.1 398.4 313.3 353.0 20.0 444.4 316.2 58.0 635.1 907.0 907.0 423.6 635.1 1 101.3 600.5 202.0 202.0 715.4 – 907.0 313.3 195.3 – 880.7 900.1 900.1 118.3 880.7 150.0 900.1 88.0 – 888.0 1 451.0 1 451.0 271.8 888.0 1 451.0 234.0 – 597.5 945.0 1 135.7 1 135.7 672.0 945.0 824.3 824.3 610.5 1 135.7 – 684.1 373.8 1 293.3 1 057.6 1 384.9 1 384.9 582.0 1 057.6 376.7 410.0 – 312.3 617.7 1 384.9 1 026.1 805.7 921.1 60.0 1 158.2 830.0 145.0

931 431 376 541 541 569 50 96 466 594 9 874 30 52 995 52 133 52 133 862 52 995 40 52 133 787 35 94 80 80 13 292 352 352 940

577 066 245 869 869 938 16 39 726 188 3 515 14 21 224 21 153 21 153 71 21 224 15 21 153 44 12 36 31 31 5 498 197 197 301

1 617.7 3 137.2 1 574.6 531.1 531.1 1 996.3 – 2 202.4 990.0 548.6 – 2 2 2 1 199.0 218.4 218.4 436.7

Janesville, WI
The area In central place Janesville city† Urban fringe Rock County (pt.)† Harmony town (pt.)† Janesville city† Janesville town (pt.)† La Prairie town (pt.)†

2 199.0 400.0 2 218.4 1 574.0 – 2 294.2 3 737.3 3 737.3 714.9 2 294.2 3 737.3 642.0 – 1 334.0 2 2 2 1 2 2 2 1 2 355.7 771.9 771.9 757.6

Kenosha, WI
The area In central place Kenosha city† Urban fringe Kenosha County (pt.)† Kenosha city† Pleasant Prairie village (pt.)† Pleasant Prairie town (pt.)† Somers town (pt.)†

94 292 80 352 11 235 37 2 668 74 51 51 23 74 4 4 3 51 203 003 003 200

36 498 31 197 4 095 11 1 195 29 20 20 8 29 1 1 1 20 767 897 897 870

La Crosse, WI--MN (pt.)
The area In central place La Crosse city† Urban fringe La Crosse County (pt.)† Campbell town (pt.)† French Island CDP Holmen village† La Crosse city† Medary town (pt.)† Onalaska city† Onalaska town (pt.)† Shelby town (pt.)†

203 478 478 220 003 100 11 284 2 345 1 773 244 191 191 53 336 262 262 074

767 731 731 160 897 40 4 378 785 776 327 047 047 280

355.7 132.4 132.4 694.7 771.9 – 1 763.1 1 116.7 2 955.0 2 3 3 1 500.9 309.0 309.0 326.9

Madison, WI
The area In central place Madison city† Urban fringe Dane County (pt.)† Blooming Grove town (pt.)† Burke town (pt.)† Dunn town (pt.)† Fitchburg city (pt.)† McFarland village† Madison city† Madison town† Maple Bluff village Middleton city† Middleton town (pt.)† Monona city† Shorewood Hills village Westport town (pt.)† 103 80 80 23

244 336 1 129 63 21 15 157 5 232 191 262 6 442 1 352 13 289 9 8 637 1 680 63

103 327 452 41 10 6 496 1 915 80 047 3 386 564 5 895 6 3 822 664 29

2 500.9 940.8 630.0 – 728.7 1 687.7 3 309.0 1 952.1 1 931.4 2 076.4 90.0 2 617.3 2 100.0 315.0

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 99 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 99

Table 23.

Population, Housing Units, and Land Area for Urbanized Area: 1990 Con.
Area measurements Density Land area Population per Housing units per

[Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Urbanized Area
Population Housing units

Total area

Square kilometers

Square miles

Square kilometers

Square miles

Square kilometer

Square mile

Square kilometer

Square mile

Milwaukee, WI
The area In central place Milwaukee city† Waukesha city† Urban fringe Milwaukee County (pt.)† Bayside village (pt.) Brown Deer village Cudahy city Fox Point village Franklin city Glendale city Greendale village Greenfield city† Hales Corners village Milwaukee city (pt.)† Oak Creek city River Hills village St. Francis city Shorewood village South Milwaukee city Wauwatosa city West Allis city West Milwaukee village Whitefish Bay village Ozaukee County (pt.)† Bayside village (pt.) Cedarburg city† Cedarburg town (pt.)† Grafton village† Grafton town (pt.)† Mequon city† Thiensville village Racine County (pt.)† Caledonia town (pt.)† Norway town (pt.) Wind Lake CDP Washington County (pt.)† Germantown village Germantown town (pt.) Milwaukee city (pt.)† Waukesha County (pt.)† Big Bend village† Brookfield city† Brookfield town (pt.)† Butler village Delafield town (pt.)† Elm Grove village Lannon village Lisbon town (pt.)† Menomonee Falls village† Milwaukee city (pt.)† Muskego city† New Berlin city† Pewaukee village† Pewaukee town (pt.)† Sussex village† Vernon town (pt.)† Waukesha city† Waukesha town (pt.)† 1 226 685 628 56 541 959 4 12 18 7 21 14 15 33 7 628 19 1 9 14 20 49 63 3 14 293 046 088 958 247 275 681 236 659 238 855 088 128 403 623 088 513 612 245 116 958 366 221 973 272 489 276 254 22 212 390 1 5 7 2 7 5 5 14 3 254 142 269 204 065 873 715 700 070 642 948 753 784 745 301 207 204 1 349.6 295.7 250.8 45.0 1 053.8 629.1 5.9 11.4 12.3 7.6 89.9 15.5 14.5 29.9 8.3 250.4 74.1 13.6 6.6 4.1 12.4 34.3 29.5 2.9 5.5 142.8 .2 9.3 .9 7.5 .7 121.3 2.9 19.6 2.5 17.1 17.1 90.7 89.2 1.3 .1 467.4 2.0 69.6 9.6 2.0 .4 8.4 6.3 4.6 86.2 .2 92.9 95.6 11.0 12.5 10.1 .1 45.0 10.7 521.1 114.2 96.8 17.4 406.9 242.9 2.3 4.4 4.8 2.9 34.7 6.0 5.6 11.6 3.2 96.7 28.6 5.3 2.5 1.6 4.8 13.2 11.4 1.1 2.1 55.2 .1 3.6 .4 2.9 .3 46.8 1.1 7.6 1.0 6.6 6.6 35.0 34.5 .5 – 180.5 .8 26.9 3.7 .8 .1 3.3 2.4 1.8 33.3 .1 35.9 36.9 4.3 4.8 3.9 – 17.4 4.1 1 326.0 293.7 248.8 44.8 1 032.4 625.6 5.9 11.4 12.3 7.6 89.7 15.0 14.5 29.9 8.3 248.5 74.1 13.2 6.6 4.1 12.4 34.3 29.3 2.9 5.5 141.0 .2 9.2 .9 7.4 .7 119.6 2.8 14.7 2.5 12.2 12.2 90.6 89.1 1.3 .1 454.1 1.9 69.5 9.6 2.0 .4 8.4 6.3 4.6 86.2 .2 80.9 95.4 10.3 12.5 10.1 .1 44.8 10.7 512.0 113.4 96.1 17.3 398.6 241.6 2.3 4.4 4.8 2.9 34.6 5.8 5.6 11.5 3.2 96.0 28.6 5.1 2.5 1.6 4.8 13.2 11.3 1.1 2.1 54.4 .1 3.6 .3 2.9 .3 46.2 1.1 5.7 1.0 4.7 4.7 35.0 34.4 .5 – 175.3 .8 26.8 3.7 .8 .1 3.3 2.4 1.8 33.3 .1 31.2 36.8 4.0 4.8 3.9 – 17.3 4.1 924.8 2 332.5 2 524.5 1 271.4 524.3 1 533.4 793.4 1 073.3 1 517.0 952.4 243.6 939.2 1 043.3 1 117.2 918.4 2 527.5 263.3 122.1 400.8 442.9 690.2 439.2 157.7 370.0 594.9 2 6 6 3 1 3 2 2 3 2 2 2 2 2 6 395.1 041.0 535.8 292.4 357.9 970.5 035.2 780.9 887.3 495.9 631.6 429.0 701.4 904.6 382.2 542.6 682.3 316.1 698.0 822.5 366.3 739.8 594.8 611.8 796.2 368.9 940.7 1 021.7 492.5 206.2 624.5 288.1 444.7 621.3 387.9 86.4 385.6 396.2 478.3 386.4 1 023.0 98.0 44.2 603.0 1 634.4 679.7 591.5 938.6 713.4 1 008.4 110.6 190.0 438.7 123.3 467.2 91.4 54.1 507.9 115.8 114.8 116.0 115.7 56.7 57.2 29.2 – 167.3 223.7 176.3 145.3 474.5 180.0 285.5 58.4 155.4 116.5 – 71.2 126.9 194.6 194.2 178.5 360.0 492.5 109.6 955.4 2 436.2 2 645.2 1 275.4 534.1 1 617.2 739.1 1 152.3 1 592.1 1 016.6 224.1 997.2 1 025.9 1 243.6 1 002.2 2 648.0 254.0 114.3 592.0 188.1 755.8 537.0 433.8 880.9 641.0

7 263 583 3 980 6 701 8 428 20 289 27 502 2 069 5 546 15 598 38 4 036 111 3 457 64 6 470 1 422 1 702 287 1 415 1 411 5 138 5 100 38 – 75 989 425 12 254 1 395 949 72 2 398 368 715 10 043 – 759 102 004 428 803 36 22 065 1 173 5 12 2 2 1

1 3 1 1 2 1 2

3 8 4 3 5 3 6 1 2 1 3

1 4 1 1 2 1 2

42 065 108 9 895 367 9 340 169 18 885 3 301 4 633 867 3 766 3 748 13 774 13 658 116 – 206 1 35 4 2 546 299 184 136 079 208 6 261 924 1 711 26 840 – 813 592 941 006 039 111 56 958 3 444 16 33 4 7 5

298.3 540.0 1 075.5 407.8 1 262.2 241.4 157.9 1 178.9 315.2 346.8 308.7 307.2 152.0 153.3 89.2 – 454.8 683.7 506.2 430.8 1 039.5 520.0 745.4 146.7 372.0 311.4 – 207.8 352.1 479.7 560.5 498.9 1 110.0 1 271.4 321.9

773.3 080.0 748.6 223.3 220.7 563.3 408.8 3 000.9 812.8 867.0 801.3 797.4 393.5 397.0 232.0 – 1 1 1 1 2 2 1 178.2 623.8 312.8 117.8 598.8 080.0 897.3 385.0 950.6 806.0 –

286.7 380.0 1 121.1 370.0 1 192.1 213.3 140.0 1 292.7 298.6 287.0 301.1 300.2 146.8 148.3 76.0 – 433.5 531.3 457.2 377.0 1 186.3 720.0 726.7 153.3 397.2 301.6 – 184.6 328.9 501.0 505.8 462.3 – 1 275.4 286.1

538.9 912.8 1 235.3 1 459.6 1 292.1 – 3 292.4 840.0

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 100 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

100 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 23.

Population, Housing Units, and Land Area for Urbanized Area: 1990 Con.
Area measurements Density Land area Population per Housing units per

[Density is computed using land area. For definitions of terms and meanings of symbols, see text]

Urbanized Area
Population Housing units

Total area

Square kilometers

Square miles

Square kilometers

Square miles

Square kilometer

Square mile

Square kilometer

Square mile

Oshkosh, WI
The area In central place Oshkosh city† Urban fringe Winnebago County (pt.)† Algoma town (pt.)† Black Wolf town (pt.)† Nekimi town (pt.)† Oshkosh city† Oshkosh town (pt.)† 58 55 55 3 935 006 006 929 23 21 21 1 088 827 827 261 60.9 51.9 51.9 9.0 60.9 2.8 .9 – 51.9 5.3 23.5 20.0 20.0 3.5 23.5 1.1 .4 – 20.0 2.0 55.3 46.5 46.5 8.8 55.3 2.8 .9 – 46.5 5.1 21.3 17.9 17.9 3.4 21.3 1.1 .3 – 17.9 2.0 1 065.7 1 182.9 1 182.9 446.5 1 065.7 355.7 417.8 – 1 182.9 498.6 2 3 3 1 766.9 073.0 073.0 155.6 417.5 469.4 469.4 143.3 417.5 140.0 174.4 – 469.4 138.4 1 083.9 1 219.4 1 219.4 370.9 1 083.9 356.4 523.3 – 1 219.4 353.0

58 935 996 376 14 55 006 2 543

23 088 392 157 6 21 827 706

2 766.9 905.5 1 253.3 – 3 073.0 1 271.5

Racine, WI
The area In central place Racine city† Urban fringe Racine County (pt.)† Caledonia town (pt.)† Elmwood Park village Mount Pleasant town (pt.)† North Bay village Racine city† Sturtevant village† Wind Point village 121 84 84 37 788 298 298 490 47 33 33 14 156 156 156 000 109.6 48.1 48.1 61.5 109.6 25.5 .4 25.6 .3 48.1 6.0 3.6 42.3 18.6 18.6 23.7 42.3 9.9 .1 9.9 .1 18.6 2.3 1.4 100.6 40.0 40.0 60.6 100.6 25.4 .4 25.4 .3 40.0 6.0 3.2 38.8 15.4 15.4 23.4 38.8 9.8 .1 9.8 .1 15.4 2.3 1.2 1 210.6 2 107.5 2 107.5 618.6 1 210.6 588.9 1 335.0 630.2 820.0 2 107.5 633.8 606.6 3 5 5 1 3 1 5 1 2 5 1 1 138.9 473.9 473.9 602.1 138.9 526.3 340.0 633.5 460.0 473.9 653.5 617.5 468.7 828.9 828.9 231.0 468.7 202.8 482.5 255.4 313.3 828.9 222.8 230.6 1 215.4 2 153.0 2 153.0 598.3 1 215.4 525.7 1 930.0 661.8 940.0 2 153.0 581.3 615.0

121 788 14 958 534 16 008 246 84 298 3 803 1 941

47 156 5 152 193 6 486 94 33 156 1 337 738

Round Lake Beach--McHenry, IL--WI (pt.)
The area In central place Urban fringe Kenosha County (pt.)† Salem town (pt.)† 53 – 53 53 53 32 – 32 32 32 .1 – .1 .1 .1 – – – – – .1 – .1 .1 .1 – – – – – 530.0 – 530.0 530.0 530.0 – – – – – 320.0 – 320.0 320.0 320.0 – – – – –

Sheboygan, WI
The area In central place Sheboygan city† Urban fringe Sheboygan County (pt.)† Kohler village† Lima town (pt.)† Sheboygan city† Sheboygan town (pt.)† Sheboygan Falls city† Sheboygan Falls town (pt.)† Wilson town (pt.)† 61 49 49 11 012 676 676 336 24 20 20 4 947 588 588 359 68.7 34.6 34.6 34.1 68.7 14.2 – 34.6 5.4 7.8 .2 6.5 26.5 13.4 13.4 13.2 26.5 5.5 – 13.4 2.1 3.0 .1 2.5 67.8 34.3 34.3 33.5 67.8 13.9 – 34.3 5.4 7.6 .2 6.4 26.2 13.2 13.2 12.9 26.2 5.4 – 13.2 2.1 2.9 .1 2.5 899.9 1 448.3 1 448.3 338.4 899.9 130.7 – 1 448.3 378.9 766.2 495.0 233.3 2 328.7 3 763.3 3 763.3 878.8 2 328.7 336.5 – 3 763.3 974.3 2 007.9 990.0 597.2 367.9 600.2 600.2 130.1 367.9 49.5 – 600.2 139.3 303.0 185.0 86.9 952.2 1 559.7 1 559.7 337.9 952.2 127.4 – 1 559.7 358.1 794.1 370.0 222.4

61 012 1 817 58 49 676 2 046 5 823 99 1 493

24 947 688 23 20 588 752 2 303 37 556

Wausau, WI
The area In central place Wausau city† Urban fringe Marathon County (pt.)† Rib Mountain town (pt.)† Rib Mountain CDP (pt.)† Rothschild village† Schofield city† Stettin town (pt.)† Rib Mountain CDP (pt.)† Wausau city† Weston town (pt.)† Weston CDP 57 37 37 20 57 4 4 3 2 352 060 060 292 23 15 15 7 23 1 1 1 1 023 318 318 705 113.7 39.7 39.7 74.0 113.7 32.9 32.6 5.3 7.3 1.4 1.2 39.7 27.2 26.7 43.9 15.3 15.3 28.6 43.9 12.7 12.6 2.0 2.8 .5 .5 15.3 10.5 10.3 104.4 36.5 36.5 67.9 104.4 30.6 30.5 4.5 4.6 1.2 1.0 36.5 27.0 26.5 40.3 14.1 14.1 26.2 40.3 11.8 11.8 1.8 1.8 .5 .4 14.1 10.4 10.2 549.3 1 015.3 1 015.3 298.9 549.3 150.1 149.0 735.6 525.0 125.8 89.0 1 015.3 363.9 366.6 1 423.1 2 628.4 2 628.4 774.5 1 423.1 389.2 385.2 1 838.9 1 341.7 302.0 222.5 2 628.4 944.6 952.4 220.5 419.7 419.7 113.5 220.5 53.3 52.8 278.7 233.9 46.7 37.0 419.7 136.6 137.8 571.3 1 086.4 1 086.4 294.1 571.3 138.1 136.4 696.7 597.8 112.0 92.5 1 086.4 354.7 357.9

352 592 545 310 415 151 89 37 060 9 824 9 714

023 630 609 254 076 56 37 15 318 3 689 3 651

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 101 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

POPULATION AND HOUSING UNIT COUNTS WISCONSIN 101

Table 24.

Population, Housing Units, and Land Area for Urbanized Area by Population Size Class of Urbanized Area: 1990
Inside urbanized area Urban fringe Inside metropolitan area

[For definitions of terms and meanings of symbols, see text]

Size of Place Population Size Class of Urbanized Area Urbanized Area
POPULATION
The State Inside urbanized area 1,000,000 or more 5,000,000 or more 2,500,000 to 4,999,999 1,000,000 to 2,499,999 Milwaukee, WI Less than 1,000,000 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 Appleton--Neenah, WI Duluth, MN--WI (pt.) Green Bay, WI Madison, WI Racine, WI Round Lake Beach--McHenry, IL--WI (pt.) Less than 100,000 Beloit, WI--IL (pt.) Eau Claire, WI Janesville, WI Kenosha, WI La Crosse, WI--MN (pt.) Oshkosh, WI Sheboygan, WI Wausau, WI Outside urbanized area

Total

In central place

Total

Place of 50,000 or more

Place of 10,000 to 49,999

Place of 2,500 to 9,999

Place of less than 2,500

Other urban

Total

In central city

Not in central city

Outside metropolitan area

2 464 721 2 464 721 1 226 293 – – 1 226 293 1 226 293 1 238 428 – – 716 641 160 918 27 615 161 931 244 336 121 788 53 521 787 42 705 80 293 52 995 94 292 74 203 58 935 61 012 57 352 …

1 590 779 1 590 779 685 046 – – 685 046 685 046 905 733 – – 488 074 88 914 27 134 96 466 191 262 84 298 – 417 659 35 573 56 856 52 133 80 352 51 003 55 006 49 676 37 060 …

873 942 873 942 541 247 – – 541 247 541 247 332 695 – – 228 567 72 004 481 65 465 53 074 37 490 53 104 128 7 132 23 437 862 13 940 23 200 3 929 11 336 20 292 …

63 221 63 221 63 221 – – 63 221 63 221 – – – – – – – – – – – – – – – – – – – …

516 327 516 327 378 566 – – 378 566 378 566 137 761 – – 102 515 26 693 – 47 376 28 446 – – 35 246 – 12 727 – 11 235 11 284 – – – …

162 161 162 161 75 393 – – 75 393 75 393 86 768 – – 49 700 14 613 – 17 415 13 869 3 803 – 37 068 – 5 889 – – 7 698 – 5 823 17 658 …

18 570 18 570 5 914 – – 5 914 5 914 12 656 – – 8 424 2 190 481 – 3 032 2 721 – 4 232 – – – – – – 1 817 2 415 …

113 663 113 663 18 153 – – 18 153 18 153 95 510 – – 67 928 28 508 – 674 7 727 30 966 53 27 582 7 132 4 821 862 2 705 4 218 3 929 3 696 219 …

3 298 407 2 464 721 1 226 293 – – 1 226 293 1 226 293 1 238 428 – – 716 641 160 918 27 615 161 931 244 336 121 788 53 521 787 42 705 80 293 52 995 94 292 74 203 58 935 61 012 57 352 833 686

1 590 779 1 590 779 685 046 – – 685 046 685 046 905 733 – – 488 074 88 914 27 134 96 466 191 262 84 298 – 417 659 35 573 56 856 52 133 80 352 51 003 55 006 49 676 37 060 –

1 707 628 873 942 541 247 – – 541 247 541 247 332 695 – – 228 567 72 004 481 65 465 53 074 37 490 53 104 128 7 132 23 437 862 13 940 23 200 3 929 11 336 20 292 833 686

1 593 362 – – – – – – – – – – – – – – – – – – – – – – – – – 1 593 362

HOUSING UNITS
The State Inside urbanized area 1,000,000 or more 5,000,000 or more 2,500,000 to 4,999,999 1,000,000 to 2,499,999 Milwaukee, WI Less than 1,000,000 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 Appleton--Neenah, WI Duluth, MN--WI (pt.) Green Bay, WI Madison, WI Racine, WI Round Lake Beach--McHenry, IL--WI (pt.) Less than 100,000 Beloit, WI--IL (pt.) Eau Claire, WI Janesville, WI Kenosha, WI La Crosse, WI--MN (pt.) Oshkosh, WI Sheboygan, WI Wausau, WI Outside urbanized area 984 568 984 568 489 142 – – 489 142 489 142 495 426 – – 288 601 62 630 11 879 63 577 103 327 47 156 32 206 825 16 864 31 414 21 224 36 498 29 767 23 088 24 947 23 023 … 642 564 642 564 276 269 – – 276 269 276 269 366 295 – – 199 402 34 789 11 684 39 726 80 047 33 156 – 166 893 14 033 21 880 21 153 31 197 20 897 21 827 20 588 15 318 … 342 004 342 004 212 873 – – 212 873 212 873 129 131 – – 89 199 27 841 195 23 851 23 280 14 000 32 39 932 2 831 9 534 71 5 301 8 870 1 261 4 359 7 705 … 27 502 27 502 27 502 – – 27 502 27 502 – – – – – – – – – – – – – – – – – – – … 200 323 200 323 146 250 – – 146 250 146 250 54 073 – – 40 262 10 622 – 17 249 12 391 – – 13 811 – 5 338 – 4 095 4 378 – – – … 63 374 63 374 30 473 – – 30 473 30 473 32 901 – – 18 759 5 301 – 6 384 5 737 1 337 – 14 142 – 2 397 – – 2 891 – 2 303 6 551 … 7 275 7 275 2 325 – – 2 325 2 325 4 950 – – 3 186 738 195 – 1 228 1 025 – 1 764 – – – – – – 688 1 076 … 43 530 43 530 6 323 – – 6 323 6 323 37 207 – – 26 992 11 180 – 218 3 924 11 638 32 10 215 2 831 1 799 71 1 206 1 601 1 261 1 368 78 … 1 293 782 984 568 489 142 – – 489 142 489 142 495 426 – – 288 601 62 630 11 879 63 577 103 327 47 156 32 206 825 16 864 31 414 21 224 36 498 29 767 23 088 24 947 23 023 309 214 642 564 642 564 276 269 – – 276 269 276 269 366 295 – – 199 402 34 789 11 684 39 726 80 047 33 156 – 166 893 14 033 21 880 21 153 31 197 20 897 21 827 20 588 15 318 – 651 218 342 004 212 873 – – 212 873 212 873 129 131 – – 89 199 27 841 195 23 851 23 280 14 000 32 39 932 2 831 9 534 71 5 301 8 870 1 261 4 359 7 705 309 214 761 992 – – – – – – – – – – – – – – – – – – – – – – – – – 761 992

LAND AREA IN SQUARE KILOMETERS
The State Inside urbanized area 1,000,000 or more 5,000,000 or more 2,500,000 to 4,999,999 1,000,000 to 2,499,999 Milwaukee, WI 2 837.7 2 837.7 1 326.0 – – 1 326.0 1 326.0 1 151.2 1 151.2 293.7 – – 293.7 293.7 1 686.5 1 686.5 1 032.4 – – 1 032.4 1 032.4 29.3 29.3 29.3 – – 29.3 29.3 1 086.6 1 086.6 844.1 – – 844.1 844.1 302.8 302.8 92.1 – – 92.1 92.1 56.1 56.1 23.5 – – 23.5 23.5 211.7 211.7 43.4 – – 43.4 43.4 31 357.4 2 837.7 1 326.0 – – 1 326.0 1 326.0 1 151.2 1 151.2 293.7 – – 293.7 293.7 30 206.2 1 686.5 1 032.4 – – 1 032.4 1 032.4 109 315.0 – – – – – –

TIPSII [UPF] GPH2 CENSUS90 71583900 02/ 17/ 93 12:21 PM MACHINE: C DATA:CENSUS90* PH2TIPSDA55. 02/ 01/ 93 12:38:28 TAPE: NONE FRAME: 102 TSF:CENSUS90* 92. 02/ 01/ 93 12:38:49 UTF:CENSUS90* 93. 02/ 01/ 93 12:38:49 META:CENSUS90* PH2TABLES55. 02/ 01/ 93 12:41:57

102 WISCONSIN POPULATION AND HOUSING UNIT COUNTS

Table 24.

Population, Housing Units, and Land Area for Urbanized Area by Population Size Class of Urbanized Area: 1990
Inside urbanized area Urban fringe

Con.

[For definitions of terms and meanings of symbols, see text]

Size of Place Population Size Class of Urbanized Area Urbanized Area
LAND AREA IN SQUARE KILOMETERS Con.
Inside urbanized area Con. Less than 1,000,000 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 Appleton--Neenah, WI Duluth, MN--WI (pt.) Green Bay, WI Madison, WI Racine, WI Round Lake Beach--McHenry, IL--WI (pt.) Less than 100,000 Beloit, WI--IL (pt.) Eau Claire, WI Janesville, WI Kenosha, WI La Crosse, WI--MN (pt.) Oshkosh, WI Sheboygan, WI Wausau, WI Outside urbanized area

Inside metropolitan area

Total

In central place

Total

Place of 50,000 or more

Place of 10,000 to 49,999

Place of 2,500 to 9,999

Place of less than 2,500

Other urban

Total

In central city

Not in central city

Outside metropolitan area

1 511.6 – – 861.0 149.1 98.9 259.2 253.1 100.6 .1 650.6 54.7 117.9 62.5 106.4 81.7 55.3 67.8 104.4 …

857.5 – – 462.4 63.6 95.7 113.5 149.6 40.0 – 395.1 41.9 71.7 60.9 55.8 47.5 46.5 34.3 36.5 …

654.1 – – 398.6 85.5 3.2 145.7 103.5 60.6 .1 255.5 12.8 46.3 1.6 50.6 34.1 8.8 33.5 67.9 … …

– – – – – – – – – – – – – – – – – – –

242.6 – – 155.2 24.1 – 60.6 70.5 – – 87.4 – 25.5 – 45.3 16.7 – – – …

210.7 – – 119.6 13.5 – 83.4 16.6 6.0 – 91.1 – 10.6 – – 10.3 – 7.6 62.6 …

32.5 – – 14.1 3.1 3.2 – 3.9 3.8 – 18.5 – – – – – – 13.9 4.6 …

168.3 – – 109.8 44.8 – 1.7 12.5 50.8 .1 58.6 12.8 10.2 1.6 5.3 7.1 8.8 12.0 .7 …

1 511.6 – – 861.0 149.1 98.9 259.2 253.1 100.6 .1 650.6 54.7 117.9 62.5 106.4 81.7 55.3 67.8 104.4 28 519.7

857.5 – – 462.4 63.6 95.7 113.5 149.6 40.0 – 395.1 41.9 71.7 60.9 55.8 47.5 46.5 34.3 36.5 –

654.1 – – 398.6 85.5 3.2 145.7 103.5 60.6 .1 255.5 12.8 46.3 1.6 50.6 34.1 8.8 33.5 67.9 28 519.7

– – – – – – – – – – – – – – – – – – – 109 315.0

LAND AREA IN SQUARE MILES
The State Inside urbanized area 1,000,000 or more 5,000,000 or more 2,500,000 to 4,999,999 1,000,000 to 2,499,999 Milwaukee, WI Less than 1,000,000 500,000 to 999,999 250,000 to 499,999 100,000 to 249,999 Appleton--Neenah, WI Duluth, MN--WI (pt.) Green Bay, WI Madison, WI Racine, WI Round Lake Beach--McHenry, IL--WI (pt.) Less than 100,000 Beloit, WI--IL (pt.) Eau Claire, WI Janesville, WI Kenosha, WI La Crosse, WI--MN (pt.) Oshkosh, WI Sheboygan, WI Wausau, WI Outside urbanized area 1 095.6 1 095.6 512.0 – – 512.0 512.0 583.6 – – 332.4 57.6 38.2 100.1 97.7 38.8 – 251.2 21.1 45.5 24.1 41.1 31.5 21.3 26.2 40.3 … 444.5 444.5 113.4 – – 113.4 113.4 331.1 – – 178.5 24.6 36.9 43.8 57.8 15.4 – 152.5 16.2 27.7 23.5 21.5 18.4 17.9 13.2 14.1 … 651.2 651.2 398.6 – – 398.6 398.6 252.6 – – 153.9 33.0 1.2 56.3 40.0 23.4 – 98.7 4.9 17.9 .6 19.5 13.2 3.4 12.9 26.2 … 11.3 11.3 11.3 – – 11.3 11.3 – – – – – – – – – – – – – – – – – – – … 419.6 419.6 325.9 – – 325.9 325.9 93.7 – – 59.9 9.3 – 23.4 27.2 – – 33.7 – 9.8 – 17.5 6.4 – – – … 116.9 116.9 35.6 – – 35.6 35.6 81.3 – – 46.2 5.2 – 32.2 6.4 2.3 – 35.2 – 4.1 – – 4.0 – 2.9 24.2 … 21.6 21.6 9.1 – – 9.1 9.1 12.6 – – 5.4 1.2 1.2 – 1.5 1.5 – 7.1 – – – – – – 5.4 1.8 … 81.7 81.7 16.7 – – 16.7 16.7 65.0 – – 42.4 17.3 – .6 4.8 19.6 – 22.6 4.9 3.9 .6 2.1 2.8 3.4 4.6 .3 … 12 107.1 1 095.6 512.0 – – 512.0 512.0 583.6 – – 332.4 57.6 38.2 100.1 97.7 38.8 – 251.2 21.1 45.5 24.1 41.1 31.5 21.3 26.2 40.3 11 011.5 444.5 444.5 113.4 – – 113.4 113.4 331.1 – – 178.5 24.6 36.9 43.8 57.8 15.4 – 152.5 16.2 27.7 23.5 21.5 18.4 17.9 13.2 14.1 – 11 662.6 651.2 398.6 – – 398.6 398.6 252.6 – – 153.9 33.0 1.2 56.3 40.0 23.4 – 98.7 4.9 17.9 .6 19.5 13.2 3.4 12.9 26.2 11 011.5 42 206.6 – – – – – – – – – – – – – – – – – – – – – – – – – 42 206.6

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APPENDIX A. Area Classifications

CONTENTS
Alaska Native Regional Corporation (ANRC) (See American
Indian and Alaska Native Area)

Alaska Native Village (ANV) (See American Indian and Alaska
Native Area)

Alaska Native Village Statistical Area (See American Indian
and Alaska Native Area)

Latitude (See Internal Point) Longitude (See Internal Point) Magisterial District (See County Subdivision) Metropolitan Area (MA) - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Metropolitan Statistical Area (MSA) (See Metropolitan Area) Minor Civil Division (MCD) (See County Subdivision) Northern Mariana Islands (See Outlying Areas of the United A–1
States, see State)

A–8

American Indian and Alaska Native Area - - - - - - - - - - - - - - - - - - - American Indian Reservation (See American Indian and Alaska
Native Area, see County Subdivision)

Outlying Areas of the United States - - - - - - - - - - - - - - - - - - - - - - Palau (See Outlying Areas of the United States, see State) Parish (Louisiana) (See County) Parish Governing Authority District (See County Subdivision) Place - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Plantation (See County Subdivision) Population or Housing Unit Density - - - - - - - - - - - - - - - - - - - - - - Precinct (See County Subdivision, see Voting District) Primary Metropolitan Statistical Area (PMSA) (See
Metropolitan Area)

A–9

American Indian Reservation and Trust Land (See American
Indian and Alaska Native Area)

American Samoa (See Outlying Areas of the United States, see
State)

A–9 A–10

Area Measurement - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A–3 Assessment District (See County Subdivision) Block - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A–3 Block Group (BG) - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A–4 Block Numbering Area (BNA) (See Census Tract and Block
Numbering Area)

Puerto Rico (See Outlying Areas of the United States, see State) Purchase (See County Subdivision) Region (See Census Region and Census Division) Rural (See Urban and Rural) Selected States (See County Subdivision, see State) State - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Supervisors’ District (See County Subdivision) Tabulation Block Group (See Block Group) TIGER - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Town (See County Subdivision, see Place) Township (See County Subdivision) Tract (See Census Tract and Block Numbering Area) Tribal Designated Statistical Area (TDSA) (See American
Indian and Alaska Native Area)

Borough (See County Subdivision, see Place) Borough and Census Area (Alaska) (See County) Boundary Changes - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Census Area (Alaska) (See County) Census Block (See Block) Census Code (See Geographic Code) Census County Division (CCD) (See County Subdivision) Census Designated Place (CDP) (See Place) Census Division (See Census Region and Census Division)

A–4

A–11 A–11

Census Geographic Code (See Geographic Code) Census Region and Census Division - - - - - - - - - - - - - - - - - - - - - - - A–4 Census Subarea (Alaska) (See County Subdivision) Census Tract and Block Numbering Area - - - - - - - - - - - - - - - - - - - A–5 Central City (See Metropolitan Area) Central Place (See Urbanized Area) City (See Place) Congressional District (CD) - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A–6 Consolidated City (See Place) Consolidated Metropolitan Statistical Area (CMSA) (See
Metropolitan Area)

Tribal Jurisdiction Statistical Area (TJSA) (See American
Indian and Alaska Native Area)

County - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A–6 County Subdivision - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A–6 Crews of Vessels (See Area Measurement, see Block, see
Census Tract and Block Numbering Area)

Division (See Census Region and Division, see County Subdivision) Election District (See County Subdivision, see Voting District) Extended City (See Urban and Rural) Farm (See Urban and Rural) Federal Information Processing Standards (FIPS) Code
(See Geographic Code)

Trust Land (See American Indian and Alaska Native Area) United States - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A–11 Unorganized Territory (unorg.) (See County Subdivision) Urban and Rural - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A–11 Urbanized Area (UA) - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A–12 Village (See Place) Virgin Islands (See Outlying Areas of the United States, see State) Voting District (VTD) - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A–12 Water Area (See Area Measurement) ZIP Code - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A–13

Geographic Block Group (See Block Group) Geographic Code - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Geographic Presentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Gore (See County Subdivision) Grant (See County Subdivision) Guam (See Outlying Areas of the United States, see State) Hierarchical Presentation (See Geographic Presentation) Historic Areas of Oklahoma (See American Indian and
Alaska Native Area, Tribal Jurisdiction Statistical Area)

A–7 A–7

These definitions are for all geographic entities and concepts that the Census Bureau will include in its standard 1990 census data products. Not all entities and concepts are shown in any one 1990 census data product. For a description of geographic areas included in each data product, see appendix F.

AMERICAN INDIAN AND ALASKA NATIVE AREA Alaska Native Regional Corporation (ANRC)
A–8 A–8

Historical Counts - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Incorporated Place (See Place) Independent City (See County) Internal Point - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Inventory Presentation (See Geographic Presentation) Land Area (See Area Measurement)

Alaska Native Regional Corporations (ANRC’s) are corporate entities established under the Alaska Native Claims Settlement Act of 1972, Public Law 92-203, as amended by Public Law 94-204, to conduct both business and nonprofit affairs of Alaska Natives. Alaska is divided into A–1

AREA CLASSIFICATIONS

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12 ANRC’s that cover the entire State, except for the Annette Islands Reserve. The boundaries of the 12 ANRC’s were established by the Department of the Interior, in cooperation with Alaska Natives. Each ANRC was designed to include, as far as practicable, Alaska Natives with a common heritage and common interests. The ANRC boundaries for the 1990 census were identified by the Bureau of Land Management. A 13th region was established for Alaska Natives who are not permanent residents and who chose not to enroll in one of the 12 ANRC’s; no census products are prepared for the 13th region. ANRC’s were first identified for the 1980 census. Each ANRC is assigned a two-digit census code ranging from 07 through 84. These census codes are assigned in alphabetical order of the ANRC’s.

Federal reservations may cross State boundaries, and Federal and State reservations may cross county, county subdivision, and place boundaries. For reservations that cross State boundaries, only the portion of the reservations in a given State are shown in the data products for that State; the entire reservations are shown in data products for the United States. Each American Indian reservation is assigned a fourdigit census code ranging from 0001 through 4989. These census codes are assigned in alphabetical order of American Indian reservations nationwide, except that joint areas appear at the end of the code range. Each American Indian reservation also is assigned a five-digit FIPS code; because the FIPS codes are assigned in alphabetical sequence of American Indian reservations within each State, the FIPS code is different in each State for reservations in more than one State. Trust Land—Trust lands are property associated with a particular American Indian reservation or tribe, held in trust by the Federal Government. Trust lands may be held in trust either for a tribe (tribal trust land) or for an individual member of a tribe (individual trust land). Trust lands recognized for the 1990 census comprise all tribal trust lands and inhabited individual trust lands located outside of a reservation boundary. As with other American Indian areas, trust lands may be located in more than one State. Only the trust lands in a given State are shown in the data products for that State; all trust lands associated with a reservation or tribe are shown in data products for the United States. The Census Bureau first reported data for tribal trust lands for the 1980 census. Trust lands are assigned a four-digit census code and a five-digit FIPS code, the same as that for the reservation with which they are associated. Trust lands not associated with a reservation are presented by tribal name, interspersed alphabetically among the reservations.

Alaska Native Village (ANV) Statistical Area
Alaska Native villages (ANV’s) constitute tribes, bands, clans, groups, villages, communities, or associations in Alaska that are recognized pursuant to the Alaska Native Claims Settlement Act of 1972, Public Law 92-203. Because ANV’s do not have legally designated boundaries, the Census Bureau has established Alaska Native village statistical areas (ANVSA’s) for statistical purposes. For the 1990 census, the Census Bureau cooperated with officials of the nonprofit corporation within each participating Alaska Native Regional Corporation (ANRC), as well as other knowledgeable officials, to delineate boundaries that encompass the settled area associated with each ANV. ANVSA’s are located within ANRC’s and do not cross ANRC boundaries. ANVSA’s for the 1990 census replace the ANV’s that the Census Bureau recognized for the 1980 census. Each ANVSA is assigned a four-digit census code ranging from 6001 through 8989. Each ANVSA also is assigned a five-digit FIPS code. Both the census and FIPS codes are assigned in alphabetical order of ANVSA’s.

American Indian Reservation and Trust Land
American Indian Reservation—Federal American Indian reservations are areas with boundaries established by treaty, statute, and/ or executive or court order, and recognized by the Federal Government as territory in which American Indian tribes have jurisdiction. State reservations are lands held in trust by State governments for the use and benefit of a given tribe. The reservations and their boundaries were identified for the 1990 census by the Bureau of Indian Affairs (BIA), Department of Interior (for Federal reservations), and State governments (for State reservations). The names of American Indian reservations recognized by State governments, but not by the Federal Government, are followed by ‘‘(State).’’ Areas composed of reservation lands that are administered jointly and/ or are claimed by two reservations, as identified by the BIA, are called ‘‘joint areas,’’ and are treated as separate American Indian reservations for census purposes. A–2

Tribal Designated Statistical Area (TDSA)
Tribal designated statistical areas (TDSA’s) are areas, delineated outside Oklahoma by federally- and Staterecognized tribes without a land base or associated trust lands, to provide statistical areas for which the Census Bureau tabulates data. TDSA’s represent areas generally containing the American Indian population over which federally-recognized tribes have jurisdiction and areas in which State tribes provide benefits and services to their members. The names of TDSA’s delineated by Staterecognized tribes are followed by ‘‘(State).’’ The Census Bureau did not recognize TDSA’s before the 1990 census. Each TDSA is assigned a four-digit census code ranging from 9001 through 9589. The census codes are assigned in alphabetical order of TDSA’s nationwide. Each TDSA also is assigned a five-digit FIPS code in alphabetical order within State. AREA CLASSIFICATIONS

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Tribal Jurisdiction Statistical Area (TJSA)
Tribal jurisdiction statistical areas (TJSA’s) are areas, delineated by federally-recognized tribes in Oklahoma without a reservation, for which the Census Bureau tabulates data. TJSA’s represent areas generally containing the American Indian population over which one or more tribal governments have jurisdiction; if tribal officials delineated adjacent TJSA’s so that they include some duplicate territory, the overlap area is called a ‘‘joint use area,’’ which is treated as a separate TJSA for census purposes. TJSA’s replace the ‘‘Historic Areas of Oklahoma (excluding urbanized areas)’’ shown in 1980 census data products. The Historic Areas of Oklahoma comprised the territory located within reservations that had legally established boundaries from 1900 to 1907; these reservations were dissolved during the 2- to 3-year period preceding the statehood of Oklahoma in 1907. The Historic Areas of Oklahoma (excluding urbanized areas) were identified only for the 1980 census. Each TJSA is assigned a four-digit census code ranging from 5001 through 5989. The census codes are assigned in alphabetical order of TJSA’s, except that joint areas appear at the end of the code range. Each TJSA also is assigned a five-digit FIPS code in alphabetical order within Oklahoma.

AREA MEASUREMENT
Area measurements provide the size, in square kilometers (also in square miles in printed reports), recorded for each geographic entity for which the Census Bureau tabulates data in general-purpose data products (except crews-of-vessels entities and ZIP Codes). (Square kilometers may be divided by 2.59 to convert an area measurement to square miles.) Area was calculated from the specific set of boundaries recorded for the entity in the Census Bureau’s geographic data base (see ‘‘TIGER’’). On machine-readable files, area measurements are shown to three decimal places; the decimal point is implied. In printed reports and listings, area measurements are shown to one decimal. The Census Bureau provides measurements for both land area and total water area for the 1990 census; the water figure includes inland, coastal, Great Lakes, and territorial water. (For the 1980 census, the Census Bureau provided area measurements for land and inland water.) The Census Bureau will provide measurements for the component types of water for the affected entities in a separate file. ‘‘Inland water’’ consists of any lake, reservoir, pond, or similar body of water that is recorded in the Census Bureau’s geographic data base. It also includes any river, creek, canal, stream, or similar feature that is recorded in that data base as a two-dimensional feature (rather than as a single line). The portions of the oceans and related large embayments (such as the Chesapeake Bay and Puget Sound), the Gulf of Mexico, and the Caribbean Sea that belong to the United States and its territories are considered to be ‘‘coastal’’ and ‘‘territorial’’ AREA CLASSIFICATIONS

waters; the Great Lakes are treated as a separate water entity. Rivers and bays that empty into these bodies of water are treated as ‘‘inland water’’ from the point beyond which they are narrower than one nautical mile across. Identification of land and inland, coastal, and territorial waters is for statistical purposes, and does not necessarily reflect legal definitions thereof. By definition, census blocks do not include water within their boundaries; therefore, the water area of a block is always zero. 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. For this reason, it may not be possible to derive the land area for an entity by summing the land area of its component census blocks. In addition, the water area measurement reported for some geographic entities includes water that is not included in any lower-level geographic entity. Therefore, because water is contained only in a higher-level geographic entity, summing the water measurements for all the component lower-level geographic entities will not yield the water area of that higher-level entity. This occurs, for example, where water is associated with a county but is not within the legal boundary of any minor civil division, or the water is associated with a State but is not within the legal boundary of any county. Crews-of-vessels entities (see ‘‘Census Tract and Block Numbering Area’’ and ‘‘Block’’) do not encompass territory and therefore have no area measurements. ZIP Codes do not have specific boundaries, and therefore, also do not have area measurements. 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 data base, and (2) rounding affecting the last digit in all operations that compute and/ or sum the area measurements.

BLOCK
Census blocks are small areas bounded on all sides by visible features such as streets, roads, streams, and railroad tracks, and by invisible boundaries such as city, town, township, and county limits, property lines, and short, imaginary extensions of streets and roads. Tabulation blocks, used in census data products, are in most cases the same as collection blocks, used in the census enumeration. In some cases, collection blocks have been ‘‘split’’ into two or more parts required for data tabulations. Tabulation blocks do not cross the boundaries of counties, county subdivisions, places, census tracts or block numbering areas, American Indian and Alaska Native areas, congressional districts, voting districts, urban or rural areas, or urbanized areas. The 1990 census is the first for which the entire United States and its possessions are block-numbered. Blocks are numbered uniquely within each census tract or BNA. A block is identified by a three-digit number, sometimes with a single alphabetical suffix. Block numbers A–3

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with suffixes generally represent collection blocks that were ‘‘split’’ in order to identify separate geographic entities that divide the original block. For example, when a city limit runs through data collection block 101, the data for the portion inside the city is tabulated in block 101A and the portion outside, in block 101B. A block number with the suffix ‘‘Z’’ represents a ‘‘crews-of-vessels’’ entity for which the Census Bureau tabulates data, but that does not represent a true geographic area; such a block is shown on census maps associated with an anchor symbol and a census tract or block numbering area with a .99 suffix.

1. Annexations to or detachments from legally established governmental units. 2. Mergers or consolidations of two or more governmental units. 3. Establishment of new governmental units. 4. Disincorporations or disorganizations of existing governmental units. 5. Changes in treaties and Executive Orders. The historical counts shown for counties, county subdivisions, and places are not updated for such changes, and thus reflect the population and housing units in the area as delineated at each census. Information on boundary changes reported between the 1980 and 1990 censuses for counties, county subdivisions, and incorporated places is presented in the ‘‘User Notes’’ section of the technical documentation of Summary Tape Files 1 and 3, and in the 1990 CPH-2, Population and Housing Unit Counts printed reports. For information on boundary changes for such areas in the decade preceding other decennial censuses, see the Number of Inhabitants reports for each census. Boundary changes are not reported for some areas, such as census designated places and block groups.

BLOCK GROUP (BG) Geographic Block Group
A geographic block group (BG) is a cluster of blocks having the same first digit of their three-digit identifying numbers within a census tract or block numbering area (BNA). For example, BG 3 within a census tract or BNA includes all blocks numbered between 301 and 397. In most cases, the numbering involves substantially fewer than 97 blocks. Geographic BG’s never cross census tract or BNA boundaries, but may cross the boundaries of county subdivisions, places, American Indian and Alaska Native areas, urbanized areas, voting districts, and congressional districts. BG’s generally contain between 250 and 550 housing units, with the ideal size being 400 housing units.

CENSUS REGION AND CENSUS DIVISION Census Division
Census divisions are groupings of States that are subdivisions of the four census regions. There are nine divisions, which the Census Bureau adopted in 1910 for the presentation of data. The regions, divisions, and their constituent States are: Northeast Region

Tabulation Block Group
In the data tabulations, a geographic BG may be split to present data for every unique combination of county subdivision, place, American Indian and Alaska Native area, urbanized area, voting district, urban/ rural and congressional district shown in the data product; for example, if BG 3 is partly in a city and partly outside the city, there will be separate tabulated records for each portion of BG 3. BG’s are used in tabulating decennial census data nationwide in the 1990 census, in all block-numbered areas in the 1980 census, and in Tape Address Register (TAR) areas in the 1970 census. For purposes of data presentation, BG’s are a substitute for the enumeration districts (ED’s) used for reporting data in many parts of the United States for the 1970 and 1980 censuses, and in all areas for pre-1970 censuses.

New England Division:
Maine, New Hampshire, Vermont, Massachusetts, Rhode Island, Connecticut

Middle Atlantic Division:
New York, New Jersey, Pennsylvania Midwest Region

East North Central Division:
Ohio, Indiana, Illinois, Michigan, Wisconsin

West North Central Division:
Minnesota, Iowa, Missouri, North Dakota, South Dakota, Nebraska, Kansas South Region

BOUNDARY CHANGES
The boundaries of some counties, county subdivisions, American Indian and Alaska Native areas, and many incorporated places, changed between those reported for the 1980 census and January 1, 1990. Boundary changes to legal entities result from: A–4

South Atlantic Division:
Delaware, Maryland, District of Columbia, Virginia, West Virginia, North Carolina, South Carolina, Georgia, Florida AREA CLASSIFICATIONS

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East South Central Division:
Kentucky, Tennessee, Alabama, Mississippi

West South Central Division:
Arkansas, Louisiana, Oklahoma, Texas West Region

Some of these revisions produced BNA’s that have extremely small land area and may have little or no population or housing. For data analysis, such a BNA can be summarized with an adjacent BNA.

Census Tract
Census tracts are small, relatively permanent statistical subdivisions of a county. Census tracts are delineated for all metropolitan areas (MA’s) and other densely populated counties by local census statistical areas committees following Census Bureau guidelines (more than 3,000 census tracts have been established in 221 counties outside MA’s). Six States (California, Connecticut, Delaware, Hawaii, New Jersey, and Rhode Island) and the District of Columbia are covered entirely by census tracts. Census tracts usually have between 2,500 and 8,000 persons and, when first delineated, are designed to be homogeneous with respect to population characteristics, economic status, and living conditions. Census tracts do not cross county boundaries. The spatial size of census tracts varies widely depending on the density of settlement. Census tract boundaries are delineated with the intention of being maintained over a long time so that statistical comparisons can be made from census to census. However, physical changes in street patterns caused by highway construction, new development, etc., may require occasional revisions; census tracts occasionally are split due to large population growth, or combined as a result of substantial population decline. Census tracts are referred to as ‘‘tracts’’ in all 1990 data products. Census tracts are identified by a four-digit basic number and may have a two-digit suffix; for example, 6059.02. The decimal point separating the four-digit basic tract number from the two-digit suffix is shown in printed reports, in microfiche, and on census maps; in machine-readable files, the decimal point is implied. Many census tracts do not have a suffix; in such cases, the suffix field is left blank in all data products. Leading zeros in a census tract number (for example, 002502) are shown only on machinereadable files. Census tract numbers range from 0001 through 9499.99 and are unique within a county (numbers in the range of 9501 through 9989.99 denote a block numbering area). The suffix .99 identifies a census tract that was populated entirely by persons aboard one or more civilian or military ships. A ‘‘crews-of-vessels’’ census tract appears on census maps only as an anchor symbol with its census tract number (and block numbers on maps showing block numbers). These census tracts relate to the ships associated with the onshore census tract having the same four-digit basic number. Suffixes in the range .80 through .98 usually identify census tracts that either were revised or were created during the 1990 census data collection activities. Some of these revisions may have resulted in census tracts that have extremely small land area and may have little or no population or housing. For data analysis, such a census tract can be summarized with an adjacent census tract. A–5

Mountain Division: Montana, Idaho, Wyoming, Colorado, New Mexico, Arizona, Utah, Nevada Pacific Division: Washington, Oregon, California, Alaska, Hawaii

Census Region
Census regions are groupings of States that subdivide the United States for the presentation of data. There are four regions—Northeast, Midwest, South, and West. Each of the four census regions is divided into two or more census divisions. Prior to 1984, the Midwest region was named the North Central region. From 1910, when census regions were established, through the 1940’s, there were three regions—North, South, and West.

CENSUS TRACT AND BLOCK NUMBERING AREA Block Numbering Area (BNA)
Block numbering areas (BNA’s) are small statistical subdivisions of a county for grouping and numbering blocks in nonmetropolitan counties where local census statistical areas committees have not established census tracts. State agencies and the Census Bureau delineated BNA’s for the 1990 census, using guidelines similar to those for the delineation of census tracts. BNA’s do not cross county boundaries. BNA’s are identified by a four-digit basic number and may have a two-digit suffix; for example, 9901.07. The decimal point separating the four-digit basic BNA number from the two-digit suffix is shown in printed reports, in microfiche, and on census maps; in machine-readable files, the decimal point is implied. Many BNA’s do not have a suffix; in such cases, the suffix field is left blank in all data products. BNA numbers range from 9501 through 9989.99, and are unique within a county (numbers in the range of 0001 through 9499.99 denote a census tract). The suffix .99 identifies a BNA that was populated entirely by persons aboard one or more civilian or military ships. A ‘‘crews-ofvessels’’ BNA appears on census maps only as an anchor symbol with its BNA number (and block numbers on maps showing block numbers); the BNA relates to the ships associated with the onshore BNA’s having the same four-digit basic number. Suffixes in the range .80 through .98 usually identify BNA’s that either were revised or were created during the 1990 census data collection activities. AREA CLASSIFICATIONS

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CONGRESSIONAL DISTRICT (CD)
Congressional districts (CD’s) are the 435 areas from which persons are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the States, based on census population counts, each State is responsible for establishing CD’s for the purpose of electing representatives. Each CD is to be as equal in population to all other CD’s in the State as practicable, based on the decennial census counts. The CD’s that were in effect on January 1, 1990 were those of the 101st Congress. Data on the 101st Congress appear in an early 1990 census data product (Summary Tape File 1A). The CD’s of the 101st Congress are the same as those in effect for the 102nd Congress. CD’s of the 103rd Congress, reflecting redistricting based on the 1990 census, are summarized in later 1990 data products (STF’s 1D and 3D, and 1990 CPH-4, Population and Housing Characteristics for Congressional Districts of the 103rd Congress printed reports).

areas committees, for statistical purposes. CCD’s were established in 21 States where there are no legally established minor civil divisions (MCD’s), where the MCD’s do not have governmental or administrative purposes, where the boundaries of the MCD’s change frequently, and/ or where the MCD’s are not generally known to the public. CCD’s have no legal functions, and are not governmental units. The boundaries of CCD’s usually are delineated to follow visible features, and in most cases coincide with census tract or block numbering area boundaries. The name of each CCD is based on a place, county, or well-known local name that identifies its location. CCD’s have been established in the following 21 States: Alabama, Arizona, California, Colorado, Delaware, Florida, Georgia, Hawaii, Idaho, Kentucky, Montana, Nevada, New Mexico, Oklahoma, Oregon, South Carolina, Tennessee, Texas, Utah, Washington, and Wyoming. For the 1980 census, the county subdivisions recognized for Nevada were MCD’s.

COUNTY
The primary political divisions of most States are termed ‘‘counties.’’ 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. That part of Yellowstone National Park in Montana is treated as a county equivalent. The District of Columbia has no primary divisions, and the entire area is considered equivalent to a county for statistical purposes. Each county and county equivalent is assigned a threedigit FIPS code that is unique within State. These codes are assigned in alphabetical order of county or county equivalent within State, except for the independent cities, which follow the listing of counties.

Census Subarea (Alaska)
Census subareas are statistical subdivisions of boroughs and census areas (county equivalents) in Alaska. Census subareas were delineated cooperatively by the State of Alaska and the Census Bureau. The census subareas, identified first in 1980, replaced the various types of subdivisions used in the 1970 census.

Minor Civil Division (MCD)
Minor civil divisions (MCD’s) are the primary political or administrative divisions of a county. MCD’s represent many different kinds of legal entities with a wide variety of governmental and/ or administrative functions. MCD’s are variously designated as American Indian reservations, assessment districts, boroughs, election districts, gores, grants, magisterial districts, parish governing authority districts, plantations, precincts, purchases, supervisors’ districts, towns, and townships. In some States, all or some incorporated places are not located in any MCD and thus serve as MCD’s in their own right. In other States, incorporated places are subordinate to (part of) the MCD’s in which they are located, or the pattern is mixed—some incorporated places are independent of MCD’s and others are subordinate to one or more MCD’s. The Census Bureau recognizes MCD’s in the following 28 States: Arkansas, Connecticut, Illinois, Indiana, Iowa, Kansas, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Pennsylvania, Rhode Island, South Dakota, Vermont, Virginia, West Virginia, and Wisconsin. The District of Columbia has no primary divisions, and the entire area is considered equivalent to an MCD for statistical purposes. AREA CLASSIFICATIONS

COUNTY SUBDIVISION
County subdivisions are the primary subdivisions of counties and their equivalents for the reporting of decennial census data. They include census county divisions, census subareas, minor civil divisions, and unorganized territories. Each county subdivision is assigned a three-digit census code in alphabetical order within county and a five-digit FIPS code in alphabetical order within State.

Census County Division (CCD)
Census county divisions (CCD’s) are subdivisions of a county that were delineated by the Census Bureau, in cooperation with State officials and local census statistical A–6

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The MCD’s in 12 selected States (Connecticut, Maine, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, and Wisconsin) also serve as general-purpose local governments. The Census Bureau presents data for these MCD’s in all data products in which it provides data for places.

Unorganized Territory (unorg.)
In nine States (Arkansas, Iowa, Kansas, Louisiana, Maine, Minnesota, North Carolina, North Dakota, and South Dakota), some counties contain territory that is not included in an MCD recognized by the Census Bureau. Each separate area of unorganized territory in these States is recognized as one or more separate county subdivisions for census purposes. Each unorganized territory is given a descriptive name, followed by the designation ‘‘unorg.’’

codes used in the census are shown in the 1990 census Geographic Identification Code Scheme; in the data dictionary portion of the technical documentation for summary tape files, CD-ROM’s, and microfiche. The objective of the FIPS codes is to improve the use of data resources of the Federal Government and avoid unnecessary duplication and incompatibilities in the collection, processing, and dissemination of data. More information about FIPS and FIPS code documentation is available from the National Technical Information Service, Springfield, VA 22161.

United States Postal Service (USPS) Code
United States Postal Service (USPS) codes for States are used in all 1990 data products. The codes are twocharacter alphabetic abbreviations. These codes are the same as the FIPS two-character alphabetic abbreviations.

GEOGRAPHIC PRESENTATION GEOGRAPHIC CODE Hierarchical Presentation
Geographic codes are shown primarily on machinereadable data products, such as computer tape and compact disc-read only memory (CD-ROM), but also appear on other products such as microfiche; they also are shown on some census maps. Codes are identified as ‘‘census codes’’ only if there is also a Federal Information Processing Standards (FIPS) code for the same geographic entity. A code that is not identified as either ‘‘census’’ or ‘‘FIPS’’ is usually a census code for which there is no FIPS equivalent, or for which the Census Bureau does not use the FIPS code. The exceptions, which use only the FIPS code in census products, are county, congressional district, and metropolitan area (that is, metropolitan statistical area, consolidated metropolitan statistical area, and primary metropolitan statistical area). A hierarchical geographic presentation shows the geographic entities in a superior/ subordinate structure in census products. This structure is derived from the legal, administrative, or areal relationships of the entities. The hierarchical structure is depicted in report tables by means of indentation, and is explained for machine-readable media in the discussion of file structure in the geographic coverage portion of the abstract in the technical documentation. An example of hierarchical presentation is the ‘‘standard census geographic hierarchy’’: block, within block group, within census tract or block numbering area, within place, within county subdivision, within county, within State, within division, within region, within the United States. Graphically, this is shown as: United States Region Division State County County subdivision Place (or part) Census tract/ block numbering area (or part) Block group (or part) Block

Census Code
Census codes are assigned for a variety of geographic entities, including American Indian and Alaska Native area, census division, census region, county subdivision, place, State, urbanized area, and voting district. The structure, format, and meaning of census codes appear in the 1990 census Geographic Identification Code Scheme; in the data dictionary portion of the technical documentation for summary tape files, CD-ROM’s, and microfiche.

Federal Information Processing Standards (FIPS) Code
Federal Information Processing Standards (FIPS) codes are assigned for a variety of geographic entities, including American Indian and Alaska Native area, congressional district, county, county subdivision, metropolitan area, place, and State. The structure, format, and meaning of FIPS AREA CLASSIFICATIONS

Inventory Presentation
An inventory presentation of geographic entities is one in which all entities of the same type are shown in alphabetical or code sequence, without reference to their hierarchical relationships. Generally, an inventory presentation shows totals for entities that may be split in a hierarchical presentation, such as place, census tract/ A–7

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block numbering area, or block group. An example of a series of inventory presentations is: State, followed by all the counties in that State, followed by all the places in that State. Graphically, this is shown as: State County ‘‘A’’ County ‘‘B’’ County ‘‘C’’ Place ‘‘X’’ Place ‘‘Y’’ Place ‘‘Z’’

such as the number, population, and housing unit counts of places in size groups, or urban and rural distributions. Revisions of population and housing unit counts for individual areas were not applied to the various aggregations. Therefore, it may not be possible to determine the individual areas in a given aggregation using the historical counts; conversely, the sum of the counts shown for individual areas may not agree with the aggregation.

INTERNAL POINT
An internal point is a set of geographic coordinates (latitude and longitude) that is located within a specified geographic entity. A single point is identified for each entity; for many entities, this point represents the approximate geographic center of that entity. If the shape of the entity caused this point to be located outside the boundaries of the entity, it is relocated from the center so that it is within the entity. If the internal point for a block falls in a water area, it is relocated to a land area within the block. On machine-readable products, internal points are shown to six decimal places; the decimal point is implied.

HISTORICAL COUNTS
Historical counts for total population and total housing units are shown in the 1990 CPH-2, Population and Housing Unit Counts report series. As in past censuses, the general rule for presenting historical data for States, counties, county subdivisions, and places is to show historical counts only for single, continually existing entities. Stated another way, if an entity existed for both the current and preceding censuses, the tables show counts for the preceding censuses. Included in this category are entities of the same type (county, county subdivision, place) even if they had changed their names. Also included are entities that merged, but only if the new entity retained the name of one of the merged entities. The historical counts shown are for each entity as it was bounded at each census. In cases where an entity was formed since a preceding census, such as a newly incorporated place or a newly organized township, the symbol three dots ‘‘...’’ is shown for earlier censuses. The three-dot symbol also is shown for those parts of a place that have extended into an additional county or county subdivision through annexation or other revision of boundaries since the preceding census. In a few cases, changes in the boundaries of county subdivisions caused a place to be split into two or more parts, or to be split differently than in the preceding census. If historical counts for the parts of the place as currently split did not appear in a preceding census, ‘‘(NA)’’ is shown for the place in each county subdivision; however, the historical population and housing unit counts of the place appear in tables that show the entire place. For counties, county subdivisions, and places formed since January 1, 1980, 1980 census population and housing unit counts in the 1990 territory are reported in the geographic change notes included in the ‘‘User Notes’’ text section of 1990 CPH-2, Population and Housing Unit Counts, and in the technical documentation of Summary Tape Files 1 and 3. In some cases, population and housing unit counts for individual areas were revised since publication of the 1980 reports (indicated by the prefix ‘‘r’’). In a number of tables of 1990 CPH-2, Population and Housing Unit Counts, 1980 counts are shown for aggregations of individual areas, A–8

METROPOLITAN AREA (MA)
The general concept of a metropolitan area (MA) is one of a large population nucleus, together with adjacent communities that have a high degree of economic and social integration with that nucleus. Some MA’s are defined around two or more nuclei. The MA classification is a statistical standard, developed for use by Federal agencies in the production, analysis, and publication of data on MA’s. The MA’s are designated and defined by the Federal Office of Management and Budget, following a set of official published standards. These standards were developed by the interagency Federal Executive Committee on Metropolitan Areas, with the aim of producing definitions that are as consistent as possible for all MA’s nationwide. Each MA must contain either a place with a minimum population of 50,000 or a Census Bureau-defined urbanized area and a total MA population of at least 100,000 (75,000 in New England). An MA comprises one or more central counties. An MA also may include one or more outlying counties that have close economic and social relationships with the central county. An outlying county must have a specified level of commuting to the central counties and also must meet certain standards regarding metropolitan character, such as population density, urban population, and population growth. In New England, MA’s are composed of cities and towns rather than whole counties. The territory, population, and housing units in MA’s are referred to as ‘‘metropolitan.’’ The metropolitan category is subdivided into ‘‘inside central city’’ and ‘‘outside central city.’’ The territory, population, and housing units located outside MA’s are referred to as ‘‘nonmetropolitan.’’ The AREA CLASSIFICATIONS

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metropolitan and nonmetropolitan classification cuts across the other hierarchies; for example, there is generally both urban and rural territory within both metropolitan and nonmetropolitan areas. To meet the needs of various users, the standards provide for a flexible structure of metropolitan definitions that classify an MA either as a metropolitan statistical area (MSA) or as a consolidated metropolitan statistical area (CMSA) that is divided into primary metropolitan statistical areas (PMSA’s). Documentation of the MA standards and how they are applied is available from the Secretary, Federal Executive Committee on Metropolitan Areas, Population Division, U.S. Bureau of the Census, Washington, DC 20233.

the most populous central city in the area. The second name may be the first city or county name in the most populous remaining PMSA; the third name may be the first city or county name in the next most populous PMSA. A regional designation may be substituted for the second and/ or third names in a CMSA title if such a designation is supported by local opinion and is deemed to be unambiguous and suitable by the Office of Management and Budget. The titles for all MA’s also contain the name of each State in which the area is located. Each metropolitan area is assigned a four-digit FIPS code, in alphabetical order nationwide. If the fourth digit of the code is a ‘‘2,’’ it identifies a CMSA. Additionally, there is a separate set of two-digit codes for CMSA’s, also assigned alphabetically.

Central City
In each MSA and CMSA, the largest place and, in some cases, additional places are designated as ‘‘central cities’’ under the official standards. A few PMSA’s do not have central cities. The largest central city and, in some cases, up to two additional central cities are included in the title of the MA; there also are central cities that are not included in an MA title. An MA central city does not include any part of that city that extends outside the MA boundary.

OUTLYING AREAS OF THE UNITED STATES
The Census Bureau treats the outlying areas as the statistical equivalents of States for the 1990 census. The outlying areas are American Samoa, Guam, the Commonwealth of the Northern Mariana Islands (Northern Mariana Islands), Republic of Palau (Palau), Puerto Rico, and the Virgin Islands of the United States (Virgin Islands). Geographic definitions specific to each outlying area are shown in appendix A of the text in the data products for each area.

Consolidated and Primary Metropolitan Statistical Area (CMSA and PMSA)
If an area that qualifies as an MA has more than one million persons, primary metropolitan statistical areas (PMSA’s) may be defined within it. PMSA’s consist of a large urbanized county or cluster of counties that demonstrates very strong internal economic and social links, in addition to close ties to other portions of the larger area. When PMSA’s are established, the larger area of which they are component parts is designated a consolidated metropolitan statistical area (CMSA).

PLACE
Places, for the reporting of decennial census data, include census designated places and incorporated places. Each place is assigned a four-digit census code that is unique within State. Each place is also assigned a five-digit FIPS code that is unique within State. Both the census and FIPS codes are assigned based on alphabetical order within State. Consolidated cities (see below) are assigned a one-character alphabetical census code that is unique nationwide and a five-digit FIPS code that is unique within State.

Metropolitan Statistical Area (MSA)
Metropolitan statistical areas (MSA’s) are relatively freestanding MA’s and are not closely associated with other MA’s. These areas typically are surrounded by nonmetropolitan counties.

Census Designated Place (CDP)
Census designated places (CDP’s) are delineated for the decennial census as the statistical counterparts of incorporated places. CDP’s comprise densely settled concentrations of population that are identifiable by name, but are not legally incorporated places. Their boundaries, which usually coincide with visible features or the boundary of an adjacent incorporated place, have no legal status, nor do these places have officials elected to serve traditional municipal functions. CDP boundaries may change with changes in the settlement pattern; a CDP with the same name as in previous censuses does not necessarily have the same boundaries. A–9

Metropolitan Area Title and Code
The title of an MSA contains the name of its largest central city and up to two additional city names, provided that the additional places meet specified levels of population, employment, and commuting. Generally, a city with a population of 250,000 or more is in the title, regardless of other criteria. The title of a PMSA may contain up to three place names, as determined above, or up to three county names, sequenced in order of population. A CMSA title also may include up to three names, the first of which generally is AREA CLASSIFICATIONS

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Beginning with the 1950 census, the Census Bureau, in cooperation with State agencies and local census statistical areas committees, has identified and delineated boundaries for CDP’s. In the 1990 census, the name of each such place is followed by ‘‘CDP.’’ In the 1980 census, ‘‘(CDP)’’ was used; in 1970, 1960, and 1950 censuses, these places were identified by ‘‘(U),’’ meaning ‘‘unincorporated place.’’ To qualify as a CDP for the 1990 census, an unincorporated community must have met the following criteria: 1. In all States except Alaska and Hawaii, the Census Bureau uses three population size criteria to designate a CDP. These criteria are: a. 1,000 or more persons if outside the boundaries of an urbanized area (UA) delineated for the 1980 census or a subsequent special census. b. 2,500 or more persons if inside the boundaries of a UA delineated for the 1980 census or a subsequent special census. c. 250 or more persons if outside the boundaries of a UA delineated for the 1980 census or a subsequent special census, and within the official boundaries of an American Indian reservation recognized for the 1990 census. 2. In Alaska, 25 or more persons if outside a UA, and 2,500 or more persons if inside a UA delineated for the 1980 census or a subsequent special census. 3. In Hawaii, 300 or more persons, regardless of whether the community is inside or outside a UA. For the 1990 census, CDP’s qualified on the basis of the population counts prepared for the 1990 Postcensus Local Review Program. Because these counts were subject to change, a few CDP’s may have final population counts lower than the minimums shown above. Hawaii is the only State with no incorporated places recognized by the Bureau of the Census. All places shown for Hawaii in the data products are CDP’s. By agreement with the State of Hawaii, the Census Bureau does not show data separately for the city of Honolulu, which is coextensive with Honolulu County.

continue to function as separate governments, even though they have been included in the consolidated government, the primary incorporated place is referred to as a ‘‘consolidated city.’’ The data presentation for consolidated cities varies depending upon the geographic presentation. In hierarchical presentations, consolidated cities are not shown. These presentations include the semi-independent places and the ‘‘consolidated city (remainder).’’ Where the consolidated city is coextensive with a county or county subdivision, the data shown for those areas in hierarchical presentations are equivalent to those for the consolidated government. For inventory geographic presentations, the consolidated city appears at the end of the listing of places. The data for the consolidated city include places that are part of the consolidated city. The ‘‘consolidated city (remainder)’’ is the portion of the consolidated government minus the semi-independent places, and is shown in alphabetical sequence with other places. In summary presentations by size of place, the consolidated city is not included. The places semi-independent of consolidated cities are categorized by their size, as is the ‘‘consolidated city (remainder).’’ Each consolidated city is assigned a one-character alphabetic census code. Each consolidated city also is assigned a five-digit FIPS code that is unique within State. The semi-independent places and the ‘‘consolidated city (remainder)’’ are assigned a four-digit census code and a five-digit FIPS place code that are unique within State. Both the census and FIPS codes are assigned based on alphabetical order within State.

Incorporated Place
Incorporated places recognized in 1990 census data products are those reported to the Census Bureau as legally in existence on January 1, 1990 under the laws of their respective States as cities, boroughs, towns, and villages, with the following exceptions: the towns in the New England States, New York, and Wisconsin, and the boroughs in New York are recognized as minor civil divisions for census purposes; the boroughs in Alaska are county equivalents.

Consolidated City POPULATION OR HOUSING UNIT DENSITY
A consolidated government is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have merged. The legal aspects of this action may result in both the primary incorporated place and the county or MCD continuing to exist as legal entities, even though the county or MCD performs few or no governmental functions and has few or no elected officials. Where this occurs, and where one or more other incorporated places in the county or MCD A–10 Population or housing unit density is computed by dividing the total population or housing units of a geographic unit (for example, United States, State, county, place) by its land area measured in square kilometers or square miles. Density is expressed as both ‘‘persons (or housing units) per square kilometer’’ and ‘‘persons (or housing units) per square mile’’ of land area in 1990 census printed reports. AREA CLASSIFICATIONS

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STATE
States are the primary governmental divisions of the United States. The District of Columbia is treated as a statistical equivalent of a State for census purposes. The four census regions, nine census divisions, and their component States are shown under ‘‘CENSUS REGION AND CENSUS DIVISION’’ in this appendix. The Census Bureau treats the outlying areas as State equivalents for the 1990 census. The outlying areas are American Samoa, Guam, the Northern Mariana Islands, Palau, Puerto Rico, and the Virgin Islands of the United States. Geographic definitions specific to each outlying area are shown in appendix A in the data products for each area. Each State and equivalent is assigned a two-digit numeric Federal Information Processing Standards (FIPS) code in alphabetical order by State name, followed by the outlying area names. Each State and equivalent area also is assigned a two-digit census code. This code is assigned on the basis of the geographic sequence of each State within each census division; the first digit of the code is the code for the respective division. Puerto Rico, the Virgin Islands, and the outlying areas of the Pacific are assigned ‘‘0’’ as the division code. Each State and equivalent area also is assigned the two-letter FIPS/ United States Postal Service (USPS) code. In 12 selected States (Connecticut, Maine, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, and Wisconsin), the minor civil divisions also serve as generalpurpose local governments. The Census Bureau presents data for these minor civil divisions in all data products in which it provides data for places.

the outlying areas as statistical equivalents of States for the 1990 census. The outlying areas include American Samoa, Guam, the Northern Mariana Islands, Palau, Puerto Rico, and the Virgin Islands.

URBAN AND RURAL
The Census Bureau defines ‘‘urban’’ for the 1990 census as comprising all territory, population, and housing units in urbanized areas and in places of 2,500 or more persons outside urbanized areas. More specifically, ‘‘urban’’ consists of territory, persons, and housing units in: 1. Places of 2,500 or more persons incorporated as cities, villages, boroughs (except in Alaska and New York), and towns (except in the six New England States, New York, and Wisconsin), but excluding the rural portions of ‘‘extended cities.’’ 2. Census designated places of 2,500 or more persons. 3. Other territory, incorporated or unincorporated, included in urbanized areas. Territory, population, and housing units not classified as urban constitute ‘‘rural.’’ In the 100-percent data products, ‘‘rural’’ is divided into ‘‘places of less than 2,500’’ and ‘‘not in places.’’ The ‘‘not in places’’ category comprises ‘‘rural’’ outside incorporated and census designated places and the rural portions of extended cities. In many data products, the term ‘‘other rural’’ is used; ‘‘other rural’’ is a residual category specific to the classification of the rural in each data product. In the sample data products, rural population and housing units are subdivided into ‘‘rural farm’’ and ‘‘rural nonfarm.’’ ‘‘Rural farm’’ comprises all rural households and housing units on farms (places from which $1,000 or more of agricultural products were sold in 1989); ‘‘rural nonfarm’’ comprises the remaining rural. The urban and rural classification cuts across the other hierarchies; for example, there is generally both urban and rural territory within both metropolitan and nonmetropolitan areas. In censuses prior to 1950, ‘‘urban’’ comprised all territory, persons, and housing units in incorporated places of 2,500 or more persons, and in areas (usually minor civil divisions) classified as urban under special rules relating to population size and density. The definition of urban that restricted itself to incorporated places having 2,500 or more persons excluded many large, densely settled areas merely because they were not incorporated. Prior to the 1950 census, the Census Bureau attempted to avoid some of the more obvious omissions by classifying selected areas as ‘‘urban under special rules.’’ Even with these rules, however, many large, closely built-up areas were excluded from the urban category. To improve its measure of urban territory, population, and housing units, the Census Bureau adopted the concept of the urbanized area and delineated boundaries for A–11

TIGER
TIGER is an acronym for the new digital (computerreadable) geographic data base that automates the mapping and related geographic activities required to support the Census Bureau’s census and survey programs. The Census Bureau developed the Topologically Integrated Geographic Encoding and Referencing (TIGER) System to automate the geographic support processes needed to meet the major geographic needs of the 1990 census: producing the cartographic products to support data collection and map publication, providing the geographic structure for tabulation and publication of the collected data, assigning residential and employer addresses to their geographic location and relating those locations to the Census Bureau’s geographic units, and so forth. The content of the TIGER data base is made available to the public through a variety of ‘‘TIGER Extract’’ files that may be obtained from the Data User Services Division, U.S. Bureau of the Census, Washington, DC 20233.

UNITED STATES
The United States comprises the 50 States and the District of Columbia. In addition, the Census Bureau treats AREA CLASSIFICATIONS

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unincorporated places (now, census designated places) for the 1950 census. Urban was defined as territory, persons, and housing units in urbanized areas and, outside urbanized areas, in all places, incorporated or unincorporated, that had 2,500 or more persons. With the following three exceptions, the 1950 census definition of urban has continued substantially unchanged. First, in the 1960 census (but not in the 1970, 1980, or 1990 censuses), certain towns in the New England States, townships in New Jersey and Pennsylvania, and Arlington County, Virginia, were designated as urban. However, most of these ‘‘special rule’’ areas would have been classified as urban anyway because they were included in an urbanized area or in an unincorporated place of 2,500 or more persons. Second, ‘‘extended cities’’ were identified for the 1970, 1980, and 1990 censuses. Extended cities primarily affect the figures for urban and rural territory (area), but have very little effect on the urban and rural population and housing units at the national and State levels— although for some individual counties and urbanized areas, the effects have been more evident. Third, changes since the 1970 census in the criteria for defining urbanized areas have permitted these areas to be defined around smaller centers. Documentation of the urbanized area and extended city criteria is available from the Chief, Geography Division, U.S. Bureau of the Census, Washington, DC 20233.

density if it was connected to the core of the contiguous area by road and is within 1 1/ 2 road miles of that core, or within 5 road miles of the core but separated by water or other undevelopable territory. Other territory with a population density of fewer than 1,000 people per square mile is included in the urban fringe if it eliminates an enclave or closes an indentation in the boundary of the urbanized area. The population density is determined by (1) outside of a place, one or more contiguous census blocks with a population density of at least 1,000 persons per square mile or (2) inclusion of a place containing census blocks that have at least 50 percent of the population of the place and a density of at least 1,000 persons per square mile. The complete criteria are available from the Chief, Geography Division, U.S. Bureau of the Census, Washington, DC 20233.

Urbanized Area Central Place
One or more central places function as the dominant centers of each UA. The identification of a UA central place permits the comparison of this dominant center with the remaining territory in the UA. There is no limit on the number of central places, and not all central places are necessarily included in the UA title. UA central places include: 1. Each place entirely (or partially, if the place is an extended city) within the UA that is a central city of a metropolitan area (MA). 2. If the UA does not contain an MA central city or is located outside of an MA, the central place(s) is determined by population size.

Extended City
Since the 1960 census, there has been a trend in some States toward the extension of city boundaries to include territory that is essentially rural in character. The classification of all the population and living quarters of such places as urban would include in the urban designation territory, persons, and housing units whose environment is primarily rural. For the 1970, 1980, and 1990 censuses, the Census Bureau identified as rural such territory and its population and housing units for each extended city whose closely settled area was located in an urbanized area. For the 1990 census, this classification also has been applied to certain places outside urbanized areas. In summary presentations by size of place, the urban portion of an extended city is classified by the population of the entire place; the rural portion is included in ‘‘other rural.’’

Urbanized Area Title and Code
The title of a UA identifies those places that are most important within the UA; it links the UA to the encompassing MA, where appropriate. If a single MA includes most of the UA, the title and code of the UA generally are the same as the title and code of the MA. If the UA is not mostly included in a single MA, if it does not include any place that is a central city of the encompassing MA, or if it is not located in an MA, the Census Bureau uses the population size of the included places, with a preference for incorporated places, to determine the UA title. The name of each State in which the UA is located also is in each UA title. The numeric code used to identify each UA is the same as the code for the mostly encompassing MA (including CMSA and PMSA). If MA title cities represent multiple UA’s, or the UA title city does not correspond to the first name of an MA title, the Census Bureau assigns a code based on the alphabetical sequence of the UA title in relationship to the other UA and MA titles.

URBANIZED AREA (UA)
The Census Bureau delineates urbanized areas (UA’s) to provide a better separation of urban and rural territory, population, and housing in the vicinity of large places. A UA comprises one or more places (‘‘central place’’) and the adjacent densely settled surrounding territory (‘‘urban fringe’’) that together have a minimum of 50,000 persons. The urban fringe generally consists of contiguous territory having a density of least 1,000 persons per square mile. The urban fringe also includes outlying territory of such A–12

VOTING DISTRICT (VTD)
A voting district (VTD) is any of a variety of types of areas (for example, election districts, precincts, wards, legislative districts) established by State and local governments for purposes of elections. For census purposes, AREA CLASSIFICATIONS

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each State participating in Phase 2 of the 1990 Census Redistricting Data Program outlined the boundaries of VTD’s around groups of whole census blocks on census maps. The entities identified as VTD’s are not necessarily those legally or currently established. Also, to meet the ‘‘whole block’’ criterion, a State may have had to adjust VTD boundaries to nearby block boundaries. Therefore, the VTD’s shown on the 1990 census tapes, listings, and maps may not represent the actual VTD’s in effect at the time of the census. In the 1980 census, VTD’s were referred to as ‘‘election precincts.’’ Each VTD is assigned a four-character alphanumeric code that is unique within each county. The code ‘‘ZZZZ’’ is assigned to nonparticipating areas; the Census Bureau reports data for areas coded ‘‘ZZZZ.’’

ZIP CODE
ZIP Codes are administrative units established by the United States Postal Service (USPS) for the distribution of mail. ZIP Codes serve addresses for the most efficient delivery of mail, and therefore generally do not respect political or census statistical area boundaries. ZIP Codes usually do not have clearly identifiable boundaries, often serve a continually changing area, are changed periodically to meet postal requirements, and do not cover all the land area of the United States. ZIP Codes are identified by five-digit codes assigned by the USPS. The first three digits identify a major city or sectional distribution center, and the last two digits generally signify a specific post office’s delivery area or point. For the 1990 census, ZIP Code data are tabulated for the five-digit codes in STF 3B.

AREA CLASSIFICATIONS

A–13

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APPENDIX B. Definitions of Subject Characteristics

CONTENTS
POPULATION CHARACTERISTICS - - - - - - - - - - - - - - - - - - - - - - - - - B–1

HOUSING CHARACTERISTICS - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - B–1 Housing Units (See Living Quarters) Living Quarters - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - B–1 Occupied Housing Units (See Living Quarters) Vacant Housing Units (See Living Quarters) DERIVED MEASURES - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Percentages, Rates, and Ratios - - - - - - - - - - - - - - - - - - - - - - - - - - - B–2 B–2

POPULATION CHARACTERISTICS
In this report, counts of all persons living in housing units and group quarters are presented for various geographic areas. Separate population characteristics are not shown.

Both occupied and vacant housing units are included in the housing unit inventory, except that recreational vehicles, boats, vans, tents, railroad cars, and the like are included only if they are occupied as someone’s usual place of residence. Vacant mobile homes are included provided they are intended for occupancy on the site where they stand. Vacant mobile homes on dealers’ sales lots, at the factory, or in storage yards are excluded from the housing inventory. If the living quarters contain 9 or more persons unrelated to the householder or person in charge (a total of 10 unrelated persons), they are classified as group quarters. If the living quarters contain eight or fewer persons unrelated to the householder or person in charge, they are classified as housing units. Occupied Housing Units—A housing unit is classified as occupied if it is the usual place of residence of the person or group of persons living in it at the time of enumeration, or if the occupants are only temporarily absent; that is, away on vacation. If all the persons staying in the unit at the time of the census have their usual place of residence elsewhere, the unit is classified as vacant. A household includes all the persons who occupy a housing unit as their usual place of residence. By definition, the count of occupied housing units for 100-percent tabulations is the same as the count of households or householders. Vacant Housing Units—A housing unit is vacant if no one is living in it at the time of enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the time of enumeration entirely by persons who have a usual residence elsewhere are also classified as vacant. (For more information, see discussion under ‘‘Usual Home Elsewhere.’’) New units not yet occupied are classified as vacant housing units if construction has reached a point where all exterior windows and doors are installed and final usable floors are in place. Vacant units are excluded if they are open to the elements; that is, the roof, walls, windows, and/ or doors no longer protect the interior from the elements, or if there is positive evidence (such as a sign on the house or in the block) that the unit is condemned or is to be demolished. Also excluded are quarters being used entirely for nonresidential purposes, such as a store or an office, or quarters used for the storage of business supplies or inventory, machinery, or agricultural products. Hotels, Motels, Rooming Houses, Etc.—Occupied rooms or suites of rooms in hotels, motels, and similar places are B–1

HOUSING CHARACTERISTICS
LIVING QUARTERS
Living quarters are classified as either housing units or group quarters. Usually, living quarters are in structures intended for residential use (for example, a one-family home, apartment house, hotel or motel, boarding house, or mobile home). Living quarters also may be in structures intended for nonresidential use (for example, the rooms in a warehouse where a guard lives), as well as in places such as tents, vans, shelters for the homeless, dormitories, barracks, and old railroad cars. Housing Units—A housing unit is a house, an apartment, a mobile home or trailer, a group of rooms or a single room occupied as separate living quarters or, if vacant, intended for occupancy as separate living quarters. Separate living quarters are those in which the occupants live and eat separately from any other persons in the building and which have direct access from outside the building or through a common hall. 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 persons who share living arrangements. For vacant units, the criteria of separateness and direct access are applied to the intended occupants whenever possible. If that information cannot be obtained, the criteria are applied to the previous occupants. DEFINITIONS OF SUBJECT CHARACTERISTICS

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classified as housing units only when occupied by permanent residents; that is, persons who consider the hotel as their usual place of residence or have no usual place of residence elsewhere. Vacant rooms or suites of rooms are classified as housing units only in those hotels, motels, and similar places in which 75 percent or more of the accommodations are occupied by permanent residents. If any of the occupants in a rooming or boarding house live and eat separately from others in the building and have direct access, their quarters are classified as separate housing units. Staff Living Quarters—The living quarters occupied by staff personnel within any group quarters are separate housing units if they satisfy the housing unit criteria of separateness and direct access; otherwise, they are considered group quarters. Comparability—The first Census of Housing in 1940 established the ‘‘dwelling unit’’ concept. Although the term became ‘‘housing unit’’ and the definition has been modified slightly in succeeding censuses, the 1990 definition is

essentially comparable to previous censuses. There was no change in the housing unit definition between 1980 and 1990.

DERIVED MEASURES
This report includes various derived measures such as percentages, as well as certain rates and ratios. Derived measures which round to less than 0.1 are not shown but indicated as zero. In printed reports, zero is indicated by showing a dash (–).

Percentages, Rates, and Ratios
These measures are frequently presented in census products and are used to compare two numbers or two sets of measurements. These comparisons are made in two ways: (1) subtraction which provides an absolute measure of the difference between two items and (2) the quotient of two numbers which provides a relative measure of difference.

B–2

DEFINITIONS OF SUBJECT CHARACTERISTICS

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APPENDIX C. Accuracy of the Data

CONTENTS
Confidentiality of the Data - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - C–1 Editing of Unacceptable Data - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - C–1 Sources of Error - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - C–1

CONFIDENTIALITY OF THE DATA
To maintain confidentiality required by law (Title 13, United States Code), the Bureau of the Census applies a confidentiality edit to assure published data do not disclose information about specific individuals, households, and housing units. The result is that a small amount of uncertainty is introduced into some of the census characteristics to prevent identification of specific individuals, households, or housing units. The edit is controlled so that the counts of total persons, totals by race and American Indian tribe, Hispanic origin, and age 18 years and over are not affected by the confidentiality edit and are published as collected. In addition, total counts for housing units by tenure are not affected by this edit. The confidentiality edit is conducted by selecting a sample of census households from the 100-percent data internal census files and interchanging its data with other households that have identical characteristics on a set of selected key variables but are in different geographic locations within the same State. To provide more protection for ‘‘small areas,’’ a higher sampling rate was used for these areas. The net result of this procedure is that the data user’s ability to obtain census data, particularly for small areas and subpopulation groups, has been significantly enhanced.

Subsequent to field operations, remaining incomplete or inconsistent information on the questionnaires was assigned using imputation procedures during the final automated edit of the collected data. Allocations, or computer assignments of acceptable codes in place of unacceptable entries or blanks, are needed most often when an entry for a given item is lacking or when the information reported for a person or housing unit on that item is inconsistent with other information for that same person or housing unit. As in previous censuses, the general procedure for changing unacceptable entries was to assign an entry for a person or housing unit that was consistent with entries for persons or housing units with similar characteristics. The assignment of acceptable codes in place of blanks or unacceptable entries enhances the usefulness of the data. Another way in which corrections were made during the computer editing process was through substitution; that is, the assignment of a full set of characteristics for a person or housing unit. When there was an indication that a housing unit was occupied, but the questionnaire contained no information for the people within the household, or the occupants were not listed on the questionnaire, a previously accepted household was selected as a substitute, and the full set of characteristics for the substitute was duplicated. The assignment of the full set of housing characteristics occurred when there was no housing information available. If the housing unit was determined to be occupied, the housing characteristics were assigned from a previously processed occupied unit. If the housing unit was vacant, the housing characteristics were assigned from a previously processed vacant unit.

EDITING OF UNACCEPTABLE DATA
The objective of the processing operation is to produce a set of data that describes the population as accurately and clearly as possible. To meet this objective, questionnaires were edited during field data collection operations for consistency, completeness, and acceptability. Questionnaires were also reviewed by census clerks for omissions, certain inconsistencies, and population coverage. For example, write-in entries such as ‘‘Don’t know’’ or ‘‘NA’’ were considered unacceptable. For some district offices, the initial edit was automated; however, for the majority of the district offices, it was performed by clerks. As a result of this operation, a telephone or personal visit followup was made to obtain missing information. Potential coverage errors were included in the followup, as well as a sample of questionnaires with omissions or inconsistencies. ACCURACY OF THE DATA

SOURCES OF ERROR
In any large-scale statistical operation, such as the 1990 decennial census, human- and machine-related errors occur. These errors are commonly referred to as nonsampling errors. Such errors include not enumerating every household or every person in the population, not obtaining all required information from the respondents, obtaining incorrect or inconsistent information, and recording information incorrectly. In addition, errors can occur during the field review of the enumerators’ work, during clerical handling of the census questionnaires, or during the electronic processing of the questionnaires. To reduce various types of nonsampling errors, a number of techniques were implemented during the planning, development of the mailing address list, data collection, and data processing activities. Quality assurance methods C–1

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were used throughout the data collection and processing phases of the census to improve the quality of the data. A reinterview program was designed to minimize the errors in the data collection phase for enumerator-filled questionnaires. Several coverage improvement programs were implemented during the development of the census address list and census enumeration and processing to minimize undercoverage of the population and housing units. These programs were developed based on experience from the 1980 decennial census and results from the 1990 decennial census testing cycle. In developing and updating the census address list, the Census Bureau used a variety of specialized procedures in different parts of the country. • For larger urban areas, the Census Bureau purchased and coded address lists, had the United States Postal Service (USPS) review and update this list, and conducted a dependent canvass and update operation. Prior to mailout, local officials were given the opportunity

to examine block counts of address listings (local review) and identify possible errors, and the USPS conducted a final review. • For small cities and suburban and selected rural parts of the country, the Census Bureau created the address list through a listing operation that occurred in 1988 and 1989. For the addresses listed in 1988, the USPS reviewed and updated this list, and the Census Bureau reconciled USPS corrections through a field check; prior to mailout, the USPS conducted a final review of these addresses, and local officials participated in reviewing block counts of address listings. Coverage improvement programs continued during and after mailout. The Census Bureau (rather than the USPS) delivered census questionnaires in the rural and seasonal housing areas listed in 1989 and in inner-city public housing developments. Computer and clerical edits and telephone and personal visit followups contributed to improved coverage.

C–2

ACCURACY OF THE DATA

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APPENDIX D. Collection and Processing Procedures

CONTENTS
Data Collection Procedures - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - D–2 Enumeration and Residence Rules - - - - - - - - - - - - - - - - - - - - - - - - - D–1 Processing Procedures - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - D–4

and private businesses and students, were not enumerated, nor were their counts obtained from administrative sources. On the other hand, Americans temporarily overseas were to be enumerated at their usual residence in the United States.

ENUMERATION AND RESIDENCE RULES
In accordance with census practice dating back to the first United States census in 1790, each person was to be enumerated as an inhabitant of his or her ‘‘usual residence’’ in the 1990 census. Usual residence is the place where the person lives and sleeps most of the time or considers to be his or her usual residence. This place is not necessarily the same as the person’s legal residence or voting residence. In the vast majority of cases, however, the use of these different bases of classification would produce substantially the same statistics, although there might be appreciable differences for a few areas. The implementation of this practice has resulted in the establishment of rules for certain categories of persons whose usual place of residence is not immediately apparent. Furthermore, this practice means that persons were not always counted as residents of the place where they happened to be staying on Census Day (April 1, 1990).

Residence Rules
Each person included in the census was to be counted at his or her usual residence—the place where he or she lives and sleeps most of the time or the place where the person considers to be his or her usual home. If a person had no usual residence, the person was to be counted where he or she was staying on April 1, 1990. Persons temporarily away from their usual residence, whether in the United States or overseas, on a vacation or on a business trip, were counted at their usual residence. Persons who occupied more than one residence during the year were counted at the one they considered to be their usual residence. Persons who moved on or near Census Day were counted at the place they considered to be their usual residence. Persons in the Armed Forces—Members of the Armed Forces were counted as residents of the area in which the installation was located, either on the installation or in the surrounding community. Family members of Armed Forces personnel were counted where they were living on Census Day (for example, with the Armed Forces person or at another location). Each Navy ship not deployed to the 6th or 7th Fleet was attributed to the municipality that the Department of the Navy designated as its homeport. If the homeport included more than one municipality, ships berthed there on Census Day were assigned by the Bureau of the Census to the municipality in which the land immediately adjacent to the dock or pier was actually located. Ships attributed to the homeport, but not physically present and not deployed to the 6th or 7th Fleet, were assigned to the municipality named on the Department of the Navy’s homeport list. These rules also apply to Coast Guard vessels. Personnel assigned to each Navy and Coast Guard ship were given the opportunity to report a residence off the ship. Those who did report an off-ship residence in the communities surrounding the homeport were counted there; those who did not were counted as residents of the ship. Personnel on Navy ships deployed to the 6th or 7th Fleet on Census Day were considered to be part of the overseas population. D–1

Enumeration Rules
Each person whose usual residence was in the United States was to be included in the census, without regard to the person’s legal status or citizenship. In a departure from earlier censuses, foreign diplomatic personnel participated voluntarily in the census, regardless of their residence on or off the premises of an embassy. As in previous censuses, persons in the United States specifically excluded from the census were foreign travelers who had not established a residence. Americans with a usual residence outside the United States were not enumerated in the 1990 census. United States military and Federal civilian employees, and their dependents overseas, are included in the population counts for States for purposes of Congressional apportionment, but are excluded from all other tabulations for States and their subdivisions. The counts of United States military and Federal civilian employees, and their dependents, were obtained from administrative records maintained by Federal departments and agencies. Other Americans living overseas, such as employees of international agencies COLLECTION AND PROCESSING PROCEDURES

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Persons on Maritime Ships—Persons aboard maritime ships who reported an off-ship residence were counted at that residence. Those who did not were counted as residents of the ship, and were attributed as follows: 1. The port where the ship was docked on Census Day, if that port was in the United States or its territories. 2. The port of departure if the ship was at sea, provided the port was in the United States or its territories. 3. The port of destination in the United States or its territories, if the port of departure of a ship at sea was a foreign port. 4. The overseas population if the ship was docked at a foreign port or at sea between foreign ports. (These persons were not included in the overseas population for apportionment purposes.) Persons Away at School—College students were counted as residents of the area in which they were living while attending college, as they have been since the 1950 census. Children in boarding schools below the college level were counted at their parental home. Persons in Institutions—Persons under formally authorized, supervised care or custody, such as in Federal or State prisons; local jails; Federal detention centers; juvenile institutions; nursing, convalescent, and rest homes for the aged and dependent; or homes, schools, hospitals, or wards for the physically handicapped, mentally retarded, or mentally ill, were counted at these places. Persons Away From Their Usual Residence on Census Day—Migrant agricultural workers who did not report a usual residence elsewhere were counted as residents of the place where they were on Census Day. Persons in worker camps who did not report a usual residence elsewhere were counted as residents of the camp where they were on Census Day. In some parts of the country, natural disasters displaced significant numbers of households from their usual place of residence. If these persons reported a destroyed or damaged residence as their usual residence, they were counted at that location. Persons away from their usual residence were counted by means of interviews with other members of their families, resident managers, or neighbors.

Enumeration of Housing Units
Each housing unit in the country received one of two versions of the census questionnaire: 1. A short-form questionnaire that contained a limited number of basic population and housing questions; these questions were asked of all persons and housing units and are often referred to as 100-percent questions. 2. A long-form questionnaire that contained the 100percent items and a number of additional questions; a sampling procedure was used to determine those housing units that were to receive the long-form questionnaire. Three sampling rates were employed. For slightly more than one-half of the country, one in every six housing units (about 17 percent) received the long-form or sample questionnaire. In functioning local governmental units (counties and incorporated places, and in some parts of the country, towns and townships) estimated to have fewer than 2,500 inhabitants, every other housing unit (50 percent) received the sample questionnaire in order to enhance the reliability of the sample data for these small areas. For census tracts and block numbering areas having more than 2,000 housing units in the Census Bureau’s address files, one in every eight housing units (about 13 percent) received a sample questionnaire, providing reliable statistics for these areas while permitting the Census Bureau to stay within a limit of 17.7 million sample questionnaires, or a one-in-six sample, nationwide. The mail-out/ mail-back procedure was used mainly in cities, suburban areas, towns, and rural areas where mailing addresses consisted of a house number and street name. In these areas, the Census Bureau developed mailing lists that included about 88.4 million addresses. The questionnaires were delivered through the mail and respondents were to return them by mail. Census questionnaires were delivered 1 week before Census Day (April 1, 1990) The update/ leave/ mail-back method was used mainly in densely populated rural areas where it was difficult to develop mailing lists because mailing addresses did not use house number and street name. The Census Bureau compiled lists of housing units in advance of the census. Enumerators delivered the questionnaires, asked respondents to return them by mail, and added housing units not on the mailing lists. This method was used mainly in the South and Midwest, and also included some high-rise, low-income urban areas. A variation of this method was used in urban areas having large numbers of boarded-up buildings. About 11 million housing units were enumerated using this method. The list/ enumerate method (formerly called conventional or door-to-door enumeration) was used mainly in very remote and sparsely-settled areas. The United States COLLECTION AND PROCESSING PROCEDURES

DATA COLLECTION PROCEDURES
The 1990 census was conducted primarily through self-enumeration. The questionnaire packet included general information about the 1990 census and an instruction guide explaining how to complete the questionnaire. Spanishlanguage questionnaires and instruction guides were available on request. Instruction guides also were available in 32 other languages. D–2

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Postal Service delivered unaddressed short-form questionnaires before Census Day. Starting a week before Census Day, enumerators canvassed these areas, checked that all housing units received a questionnaire, created a list of all housing units, completed long-form questionnaires, and picked up the completed short-form questionnaires. This method was used mainly in the West and Northeast to enumerate an estimated 6.5 million housing units.

4. Open locations in streets or other places not intended for habitation. Emergency shelters include all hotels and motels costing $12 or less (excluding taxes) per night regardless of whether persons living there considered themselves to be homeless, hotels and motels (regardless of cost) used entirely to shelter homeless persons, and pre-identified rooms in hotels and motels used for homeless persons and families. Enumeration in shelters usually occurred from 6 p.m. to midnight; street enumeration, from 2 a.m. to 4 a.m.; abandoned and boarded-up buildings from 4 a.m. to 8 a.m.; and shelters for abused women, from 6 p.m. on March 20 to noon on March 21. Other components, which some consider as part of the homeless population, were enumerated as part of regular census operations. These include persons doubled up with other families, as well as persons with no other usual home living in transient sites, such as commercial campgrounds, maternity homes for unwed mothers, and drug/ alcohol abuse detoxification centers. In institutions, such as local jails and mental hospitals, the Census Bureau does not know who has a usual home elsewhere; therefore, even though some are literally homeless, these persons cannot be identified separately as a component of the homeless population. There is no generally agreed-upon definition of ‘‘the homeless,’’ and there are limitations in the census count that prevent obtaining a total count of the homeless population under any definition. As such, the Census Bureau does not have a definition and will not provide a total count of ‘‘the homeless.’’ Rather, the Census Bureau will provide counts and characteristics of persons found at the time of the census in selected types of living arrangements. These selected components can be used as building blocks to construct a count of homeless persons appropriate to particular purposes as long as the data limitations are taken into account. In preparation for ‘‘Shelter-and-Street-Night’’ enumeration, the regional census centers (RCC’s) mailed a certified letter (Form D-33 (L)) to the highest elected official of each active functioning government of the United States (more than 39,000) requesting them to identify: 1. All shelters with sleeping facilities (permanent and temporary, such as church basements, armories, public buildings, and so forth, that could be open on March 20). 2. Hotels and motels used to house homeless persons and families. 3. A list of outdoor locations where homeless persons tend to be at night. 4. Places such as bus or train stations, subway stations, airports, hospital emergency rooms, and so forth, where homeless persons seek shelter at night. D–3

Followup
Nonresponse Followup—In areas where respondents were to mail back their questionnaires, an enumerator visited each address from which a questionnaire was not received. Coverage and Edit-Failure Followup—In the mail-back areas, some households returned a questionnaire that did not meet specific quality standards because of incomplete or inconsistent information, or the respondent had indicated difficulty in deciding who was to be listed on the questionnaire. These households were contacted by telephone or by personal visit to obtain the missing information or to clarify who was to be enumerated in the household. In areas where an enumerator picked up the questionnaires, the enumerator checked the respondent-filled questionnaire for completeness and consistency.

Special Enumeration Procedures
Special procedures and questionnaires were used for the enumeration of persons in group quarters, such as college dormitories, nursing homes, prisons, military barracks, and ships. The questionnaires (Individual Census Reports, Military Census Reports, and Shipboard Census Reports) included the 100-percent population questions but did not include any housing questions. In all group quarters, all persons were asked the basic population questions; in most group quarters, additional questions were asked of a sample (one-in-six) of persons.

Shelter and Street Night (S-Night)
The Census Bureau collected data for various components of the homeless population at different stages in the 1990 census. ‘‘Shelter and Street Night’’ (S-Night) was a special census operation to count the population in four types of locations where homeless people are found. On the evening of March 20, 1990, and during the early morning hours of March 21, 1990, enumerators counted persons in pre-identified locations: 1. Emergency shelters for the homeless population (public and private; permanent and temporary). 2. Shelters with temporary lodging for runaway youths. 3. Shelters for abused women and their children. COLLECTION AND PROCESSING PROCEDURES

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5. The specific addresses of abandoned or boarded-up buildings where homeless persons were thought to stay at night. The letter from the RCC’s to the governmental units emphasized the importance of listing night-time congregating sites. The list of shelters was expanded using information from administrative records and informed local sources. The street sites were limited to the list provided by the jurisdictions. All governmental units were eligible for ‘‘Shelter and Street Night.’’ For cities with 50,000 or more persons, the Census Bureau took additional steps to update the list of shelter and street locations if the local jurisdiction did not respond to the certified letter. Smaller cities and rural areas participated if the local jurisdiction provided the Census Bureau a list of shelters or open public places to visit or if shelters were identified through our inventory development, local knowledge update, or during the Special Place Prelist operation. The Census Bureau encouraged persons familiar with homeless persons and the homeless themselves to apply as enumerators. This recruiting effort was particularly successful in larger cities. For shelters, both long- and short-form Individual Census Reports (ICR’s) were distributed. For street enumeration, only short-form ICR’s were used. Persons in shelters and at street locations were asked the basic population questions. Additional questions about social and economic characteristics were asked of a sample of persons in shelters only. Enumerators were instructed not to ask who was homeless; rather, they were told to count all persons (including children) staying overnight at the shelters, and everyone they saw on the street except the police, other persons in uniform, and persons engaged in employment or obvious money-making activities other than begging and panhandling. At both shelter and street sites, persons found sleeping were not awakened to answer questions. Rather, the enumerator answered the sex and race questions by observation and estimated the person’s age to the best of his or her ability. In shelters, administrative records and information from the shelter operator were used, when available, for persons who were already asleep. Less than 1 percent of shelters refused to participate in the census count at first. By the end of the census period, most of those eventually cooperated and the number of refusals had been reduced to a few. For the final refusals, head counts and population characteristics were obtained by enumerators standing outside such shelters and counting people as they left in the morning. The ‘‘street’’ count was restricted to persons who were visible when the enumerator came to the open, public locations that had been identified by local jurisdictions. Homeless persons who were well hidden, moving about, or in locations other than those identified by the local governments were likely missed. The number missed will never be known and there is no basis to make an estimate D–4

of the number missed from census data. The count of persons in open, public places was affected by many factors, including the extra efforts made to encourage people to go to shelters for ‘‘Shelter and Street Night,’’ the weather (which was unusually cold in many parts of the country), the presence of the media, and distrust of the census. Expectations of the number of homeless persons on the street cannot be based on the number seen during the day because the night-time situation is normally very different as more homeless persons are in shelters or very well hidden. For both ‘‘Shelter-and-Street-Night’’ locations, the Census Bureau assumed that the usual home of those enumerated was in the block where they were found (shelter or street). The ‘‘Shelter-and-Street-Night’’ operation replaced and expanded the 1980 Mission Night (M-Night) and Casual Count operations. These two operations were aimed at counting the population who reported having no usual residence. M-Night was conducted a week after Census Day, in April 1980. Enumerators visited hotels, motels, and similar places costing $4 or less each night; missions, flophouses, local jails and similar places at which the average length of stay was 30 days or less; and nonshelter locations, such as bus depots, train stations, and all night movie theaters. Questions were asked of everyone, regardless of age. Enumerators conducted M-Night up to midnight on April 8, 1980, and returned the next morning to collect any forms completed after midnight. The Casual Count operation was conducted in May 1980 at additional nonshelter locations, such as street corners, pool halls, welfare and employment offices. This operation lasted for approximately 2 weeks. Casual Count was conducted during the day only in selected large central cities. Only persons who appeared to be at least 15 years of age were asked if they had been previously enumerated. Casual Count was actually a coverage-improvement operation. It was not specifically an operation to count homeless persons living in the streets. Persons were excluded if they said they had a usual home outside the city because it was not cost effective to check through individual questionnaires in another city to try to find the person.

PROCESSING PROCEDURES
Respondents returned many census questionnaires by mail to 1 of over 344 census district offices or to one of six processing offices. In these offices, the questionnaires were ‘‘checked in’’ and edited for completeness and consistency of the responses. After this initial processing had been performed, all questionnaires were sent to the processing offices. In the processing offices, the household questionnaires were microfilmed and processed by the Film Optical Sensing Device for Input to Computers (FOSDIC). For most items on the questionnaire, the information supplied COLLECTION AND PROCESSING PROCEDURES

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by the respondent was indicated by filling circles in predesignated positions. FOSDIC electronically ‘‘read’’ these filled circles from the microfilm copy of the questionnaire and transferred the information to computer tape. The computer tape did not include individual names, addresses, or handwritten responses. The data processing was performed in several stages. All questionnaires were microfilmed, ‘‘read’’ by FOSDIC, and transferred to computer disk. Selected written entries in the race question on both the short and long forms were keyed from the microfilm and coded using the data base developed from the 1980 census and subsequent content and operational tests. Keying of other written entries on the long forms occurred in the seven processing offices.

The information (for example, income dollar amounts or homeowner shelter costs) on these keyed files was merged with the FOSDIC data or processed further through one of three automated coding programs. The codes for industry, occupation, place-of-birth, migration, place-of-work, ancestry, language, relationship, race, and Hispanic origin were merged with the FOSDIC data for editing, weighting, and tabulating operations at Census Bureau headquarters. All responses to the questions on Individual Census Reports (ICR’s), Military Census Reports (MCR’s), and Shipboard Census Reports (SCR’s) were keyed, not processed by microfilm or FOSDIC.

COLLECTION AND PROCESSING PROCEDURES

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APPENDIX E. Facsimiles of Respondent Instructions and Questionnaire Pages

FACSIMILES OF RESPONDENT INSTRUCTIONS AND QUESTIONNAIRE PAGES

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APPENDIX F. Data Products and User Assistance

CONTENTS
Data Products - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Geographic Products - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Other Census Bureau Resources - - - - - - - - - - - - - - - - - - - - - - - - - Reference Materials - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Sources of Assistance - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - F–1 F–3 F–5 F–4 F–4

Printed Reports
Printed reports are the most convenient and readily available source of data for most census users. The Census Bureau releases the reports in several series (see figure 2) that are grouped under three broad titles: 1990 Census of Population and Housing (1990 CPH), 1990 Census of Population (1990 CP), and 1990 Census of Housing (1990 CH). There also are reports, not reflected in figure 2, for the outlying areas of the Pacific. The reports are sold by the Superintendent of Documents, U.S. Government Printing Office. (See the ‘‘Sources of Assistance’’ section for the address and phone number.) In several series, there are separate reports for each State. The geographic coverage of the State reports is listed in figure 2. The United States summaries for these report series contain, for the most part, data for the United States, regions, divisions, States, metropolitan areas (MA’s), urbanized areas (UA’s), counties, American Indian and Alaska Native areas, places with 10,000 or more persons, and other large substate areas (for example, county subdivisions, such as towns and townships, with 10,000 or more persons in selected States). Report series that present data for small areas, such as census tracts, contain limited subject-matter detail (for example, counts of people by age ranges—under 5 years, 5 to 9 years, etc.—rather than by single years). Report series that include greater amounts of subject-matter detail include less geographic detail.

The 1990 census data products, being released during 1991-93, are available in a variety of new and traditional media. The Census Bureau has increased the product options available to data users in an effort to meet a variety of requirements and maximize the usefulness of the data. For example, laser discs, called CD-ROM (compact disc—readonly memory), are a new data delivery medium. The Census Bureau also has expanded services and sources of assistance available to data users. For example, the State Data Center Program has been expanded to include over 1,400 organizations to provide data and services to the public. This appendix provides a detailed introduction to the 1990 census data products and related materials, such as maps and reference publications. It concludes by describing sources of assistance and other Census Bureau data available to the public.

DATA PRODUCTS
Printed reports and computer tape files traditionally are the most widely used products. The Census Bureau also offers data on microfiche, on CD-ROM laser discs, and through its online service, CENDATATM. These various products are described below. For information about prices and how to order, write or call Customer Services. (See the ‘‘Sources of Assistance’’ section for the address and phone number.) The data products present statistics about the subjects covered in the 1990 census questionnaires. These subjects are listed in figure 1, page F–7. As the figure shows, there are 100-percent subjects (those covered in questions asked of everyone or about every housing unit) and sample subjects (those covered in questions asked at about one out of every six housing units). Generally, a data product presents either 100-percent data prepared by tabulating the responses to the 100-percent questions from all questionnaires, or sample data prepared by tabulating only the responses to the 100-percent and sample questions from the ‘‘long-form’’ questionnaires. Two report series, 1990 CPH-3 and 1990 CPH-4 (see figure 2, page F–8), present both 100-percent and sample data. DATA PRODUCTS AND USER ASSISTANCE

Computer Tape Files
The Census Bureau provides more data on tape and other machine-readable products than in printed reports. These products are sold by the Census Bureau’s Customer Services. There are several general types of data files released on computer tape (available on both reels and cartridges). They are introduced below, and more information is presented in figures 3 and 4, pages F–11 through F–13. Public Law 94-171 Data—This data file presents the counts designed and formatted for use in legislative redistricting. These counts also are available on CD-ROM and paper listings. Excerpts are available on CENDATATM. The counts, for areas as small as blocks, census tracts, and voting districts, include totals for population, race groups, persons of Hispanic origin, population 18 years and over, and housing units. (See figure 4.) F–1

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Summary Tape Files (STF’s)— These computer tape files provide statistics with greater subject-matter detail than printed reports. They also present statistics for some types of areas, such as block groups and blocks, that are not included in the reports. (See figure 3.) Here are some important features of STF’s: • Each STF presents a particular set of data tables for specific types of geographic areas. • Each STF has three or more file types (indicated by a letter suffix attached to the STF number) that differ in the geographic levels reported, but contain the same data detail. • STF’s 1 and 2 contain 100-percent data, and STF’s 3 and 4 offer sample data. • STF’s 1 and 3 report on smaller areas and offer less data detail than STF’s 2 and 4. • STF’s 1 through 4 offer greater data detail than the 1980 STF’s 1 through 4. Subject Summary Tape Files (SSTF’s)—These files are the source of the subject reports and provide greater subject-matter detail than the STF’s. They present data for the United States, regions, and divisions, and, in some cases, also for States, counties, and large cities. (See figure 4.) Public Use Microdata Sample (PUMS) Files—These computer tape files (see figure 4) contain data from samples of long-form housing-unit records (‘‘microdata’’) for large geographic areas. Each sample housingunit record includes essentially all the 1990 census data collected about each person in a sample household and the characteristics of the housing unit. Information that could be used to identify an individual or a housing unit is not included in the file. Microdata files enable users to prepare customized tabulations and cross-tabulations of most items on the census questionnaire. There are two PUMS files: • A file presenting a 5-percent sample of housing units in which each household record includes codes to let the user know in what area, such as a group of counties, a single county, or a place, the household is located. Each area identified must have a population of at least 100,000 and boundaries that do not cross State lines. • A file presenting a 1-percent sample of housing units. Its household records include codes associating them with MA’s and other large areas, the boundaries of which may cross State lines. (For the 1980 census, there were two files with 1-percent samples. The 1-percent sample showing data for selected urbanized areas and other large areas will not be produced for the 1990 census.) Other Special Computer Tape Files—Other files include the Census/ Equal Employment Opportunity (EEO) Special File and the County-to-County Migration File. (See figure 4.) The Census Bureau may prepare additional special files. F–2

Microfiche
Block statistics are available on microfiche as they were for the 1980 census. The microfiche present, in table format, a subset of the tabulations for census blocks found in STF 1B (see figure 3). In the 1990 census, for the first time, the entire land area of the Nation and its possessions was block-numbered. This increased the number of blocks for which the Census Bureau provides data from 2.5 million in 1980 to 7 million for 1990. The cost and storage of block data of this magnitude would be prohibitive if the data were published in printed reports. STF’s 1A and 3A are available on microfiche, as well. As noted in figure 3, they provide data for a variety of geographic areas. Also, all printed reports are offered on microfiche from Customer Services soon after they are published.

Compact Disc—Read-Only Memory (CD-ROM)
For the 1990 census, the Public Law (P.L.) 94-171 file; an extract of STF 1B that presents selected statistics for blocks; and STF’s 1A, 1C, 3A, 3B, and 3C are also available on CD-ROM. (One 4 3/ 4-inch CD-ROM, a type of optical or laser disc, can hold the contents of approximately 1,600 flexible diskettes, or three or four highdensity computer tapes.)

Online Information Systems
The Census Bureau began CENDATATM, its online information service, in 1984. CENDATATM is accessible through two information vendors, CompuServe and DIALOG. A number of Census Bureau reports, in whole or in part, are offered online. For the 1990 census, CENDATATM provides up-to-date information about the availability of data products and carries selections of State, county, MA, and place data from the P.L. 94-171 tape file and STF’s 1 and 3.

Custom Data Products
These products are for users who require unique tabulations that are not included in standard products; for example, information for locally defined geographic areas. Users also can order special microdata files. The cost of preparing custom products must be paid by the users who request them. Any data that the Census Bureau provides in these products are subject to the same standards applied to other data to ensure that confidential individual information is not revealed. User-Defined Areas Program (UDAP) Tabulations— UDAP can provide a set of predefined data tables for locally defined areas that do not correspond to standard 1990 census geographic areas. Users identify the geographic areas of interest to them by delineating boundaries around groupings of census blocks on 1990 census County DATA PRODUCTS AND USER ASSISTANCE

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Block Maps or by electronically submitting the geographic components of their area of interest. (A contact for more information is given in the ‘‘Sources of Assistance’’ section.) Special Tabulations—The Census Bureau can prepare special data tabulations for any specific geographic or subject-matter area. Users should rely on standard reports, tapes, microfiche, or user-defined area tabulations whenever possible, since special tabulations tend to be substantially more expensive and take time to arrange and produce. (Contacts for more information are given in the ‘‘Sources of Assistance’’ section.)

features underlying the boundaries. They also show governmental unit boundaries in relation to the voting districts. They are prepared on electrostatic plotters and sold by Customer Services.

Geographic Publications
The Geographic Identification Code Scheme report in the 1990 CPH-R series shows the 1990 census geographic area codes and Federal information processing standards (FIPS) codes, as appropriate, for States, metropolitan areas, counties, county subdivisions, places, American Indian and Alaska Native areas, and other entities, along with some descriptive information about the codes. The code scheme also is offered on computer tape.

GEOGRAPHIC PRODUCTS Maps
Census Bureau maps are necessary for virtually all uses of small-area 1990 census data. They are needed to locate the specific geographic areas for which the census provides data and to study the spatial relationship of the data for analytic purposes. The Census Bureau prepares a variety of 1990 census maps. Among the most useful are these four series: County Block Maps—These maps show census blocks and their numbers; boundaries for statistical and governmental entities, such as census tracts and places; and physical features. The P.L. 94-171 version of these maps also shows voting district boundaries in those States that furnished them. The maps are prepared on electrostatic plotters by county (or equivalent entity) with one or more map sheets each, depending on the size and shape of the area and the density of the block pattern. An average county requires 20 map sheets. The maps may be purchased from Customer Services. County Subdivision Outline Maps—Maps in this Statebased series present the boundaries of the counties, county subdivisions, places, American Indian and Alaska Native areas (including off-reservation trust lands), tribal designated statistical areas, and tribal jurisdiction statistical areas. Electrostatic-plotter copies are available for purchase from Customer Services. Also, they appear on multiple page-size sheets in the State reports of these series: 1990 CPH-1, 1990 CPH-2, 1990 CPH-5, 1990 CP-1, 1990 CP-2, 1990 CH-1, and 1990 CH-2. Census Tract/ Block Numbering Area (BNA) Outline Maps—Maps in this county-based series depict census tract or BNA boundaries and numbers, and the features underlying the boundaries. They also show governmental units in relation to the census tracts/ BNA’s. The Superintendent of Documents sells printed copies. Voting District Outline Maps—Maps in this county-based series depict voting district boundaries (for those counties for which States furnished boundary information) and the DATA PRODUCTS AND USER ASSISTANCE

Machine-Readable Geographic Files
All 1990 census summary tape files include 1990 census geographic area codes, FIPS codes, certain area names, land and inland water area in square kilometers, geographic coordinates for an internal point for each entity, and other geographic information. The Census Bureau developed an automated geographic data base, known as the TIGER (Topologically Integrated Geographic Encoding and Referencing) System, to produce the geographic products for the 1990 census. TIGER provides coordinate-based digital map information for the entire United States, Puerto Rico, the U.S. Virgin Islands, and the Pacific territories over which the United States has jurisdiction. The TIGER System has significantly improved the utility of 1990 census maps and geographic reference products. Extract files generated from the TIGER System permit users, with appropriate software, to perform such tasks as linking the statistical data in the P.L. 94-171 file or the STF’s and displaying selected characteristics on maps or a video display screen at different scales and with whatever boundaries they select for any geographic area of the country. For example, a map for a particular county could show the distribution of the voting age population by city block. The first extract of selected geographic and cartographic information intended for computer applications, such as plotting maps and building geographic information systems, is called the TIGER/ LineTM files. TIGER/ LineTM files contain attributes for the segments of each boundary and feature (for example, roads, railroads, and rivers), including 1990 census geographic codes for adjacent areas, latitude/ longitude coordinates of segment end points and the curvature of segments, the name and type of the feature, and the relevant census feature class code identifying the feature segment by category. TIGER/ LineTM files also furnish address ranges and associated ZIP Codes for each side of street segments in major urban areas; provide the names of landmarks, such as lakes and golf courses; and include other information. F–3

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TIGER/ LineTM files and other TIGER System extracts, such as TIGER/ BoundaryTM and TIGER/ DataBaseTM, are released on computer tape and, in some cases, CD-ROM. For information on TIGER extract files, contact Customer Services.

• Monthly Product Announcement. A free monthly listing of all new Census Bureau publications; microfiche; maps; data files on tape, diskettes, or CD-ROM; and technical documentation. To subscribe, contact Customer Services. • Census Catalog and Guide. A comprehensive annual description of data products, statistical programs, and services of the Census Bureau. It provides abstracts of the publications, data files, microfiche, maps, and items online. In addition, the Catalog/ Guide offers such features as information about censuses and surveys and telephone contact lists of data specialists at the Census Bureau, the State Data Centers, and other data processing service centers. It is sold by the Superintendent of Documents, U.S. Government Printing Office. Users also can get listings of new Census Bureau products, updated daily, by subscribing to the Daily List. This information and selected statistics are available online through CENDATATM, the Census Bureau’s online information service. For more information, contact Customer Services.

REFERENCE MATERIALS
The Census Bureau issues several reference publications for data users. Some are sold by the Superintendent of Documents; others are distributed free by Customer Services. Addresses and phone numbers for the Superintendent of Documents and Customer Services are given in the following section. • 1990 Census of Population and Housing, Guide. This guide, in the 1990 CPH-R report series, provides detailed information about all aspects of the census and a comprehensive glossary of census terms. Sold by the Superintendent of Documents, U.S. Government Printing Office. • 1990 Census of Population and Housing Tabulation and Publication Program. A free report describing 1990 census products, comparing 1990 products with those of 1980, and more. Request from Customer Services. • Census ’90 Basics. A free booklet covering how the 1990 census data were collected and processed, the full range of data products, the maps and geographic files, and more, but with less detail than the Guide (above). Request from Customer Services. • Census ABC’s—Applications in Business and Community. A free booklet that highlights key information about the 1990 census and illustrates a variety of ways the data can be used. Request from Customer Services. • Strength in Numbers. A free, tabloid-size booklet designed to assist people in using 1990 census data in redistricting. Among other features, it includes illustrations of maps and Public Law 94-171 counts. Request from Customer Services. • TIGER: The Coast-to-Coast Digital Map Data Base. A free booklet describing the structure and uses of the Census Bureau’s TIGER System. Request from Customer Services. • Census and You. The Census Bureau’s monthly newsletter for data users. It reports on the latest 1990 census developments, selected new publications and computer tape files, other censuses and surveys, developments in services to users, and upcoming conferences and training courses. Subscriptions are sold by the Superintendent of Documents, U.S. Government Printing Office.

SOURCES OF ASSISTANCE U.S. Bureau of the Census
The Census Bureau’s Customer Services sells most of the machine-readable data products, microfiche, and maps described earlier. (The 1990 census printed reports are sold by the Superintendent of Documents, as noted below.) Also, users may consult with specialists at the Census Bureau’s Washington headquarters and its 12 regional offices. From time to time, the specialists also conduct workshops, seminars, and training courses. Washington, DC, Contacts—To order products, for a telephone contacts list of Census Bureau specialists, and for general information: Customer Services, U.S. Bureau of the Census, Washington, DC 20233, telephone 301763-4100 (fax number, 301-763-4794). For User-Defined Areas Program (UDAP) information: UDAP Staff, Decennial Planning Division, U.S. Bureau of the Census, Washington, DC 20233, telephone 301-7634282. For special tabulation information: Population—Rosemarie Cowan, Population Division, U.S. Bureau of the Census, Washington, DC 20233, telephone 301-763-5476; Housing—William Downs, Housing and Household Economic Statistics, U.S. Bureau of the Census, Washington, DC 20233, telephone 301-763-8553.

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Regional Office Contacts— Atlanta, GA Boston, MA Charlotte, NC Chicago, IL Dallas, TX Denver, CO Detroit, MI Kansas City, KS Los Angeles, CA New York, NY Philadelphia, PA Seattle, WA 404-347-2274 617-565-7078 704-371-6144 312-353-0980 214-767-7105 303-969-7750 313-354-4654 913-236-3711 818-904-6339 212-264-4730 215-597-8313 206-728-5314

using data released by the Census Bureau. For a list of participants in the National Clearinghouse, see the Census Catalog and Guide or contact Customer Services. Depository Libraries—There are 1,400 libraries that receive (from the Government Printing Office) Federal publications that they think their patrons will need. Often some of these publications are Census Bureau reports. The Census Bureau provides free reports to an additional 120 census depository libraries. Also, many libraries purchase census reports and maps for their areas. The Census Catalog and Guide includes a list of all depository libraries.

OTHER CENSUS BUREAU RESOURCES Superintendent of Documents, U.S. Government Printing Office
The Superintendent of Documents handles the sale of most of the Federal Government’s publications, including 1990 census reports. To order reports and for information: Superintendent of Documents, U.S. Government Printing Office, Washington, DC 20402, telephone 202-783-3238. The Census Bureau has more to offer than just the results of the census of population and housing. Through other censuses, surveys, and estimates programs, it compiles and issues (in reports, computer tape, and other media) data on subjects as diverse as appliance sales, neighborhood conditions, and exports to other countries. Here are examples of the information published about— • People: Age, race, sex, income, poverty, child care, child support, fertility, noncash benefits, education, commuting habits, pension coverage, unemployment, ancestry. • Business and industry: Number of employees, total payroll, sales and receipts, products manufactured or sold. • Housing and construction: Value of new construction, numbers of owners and renters, property value or rent paid, housing starts, fuels used, mortgage costs. • Farms: Number, acreage, livestock, crop sales. • Governments: Revenues and expenditures, taxes, employment, pension funds. • Foreign trade: Exports and imports, origin and destination, units shipped. • Other nations: Population, birth rates, death rates, literacy, fertility. The other censuses, such as agriculture, retail trade, manufactures, and governments, are collected for years ending in ‘‘2’’ and ‘‘7.’’ Surveys and estimates programs generate results as often as every month. Many of the monthly ‘‘economic indicators’’ that measure how the Nation is doing come directly or indirectly from the Census Bureau. Examples: employment and unemployment; housing starts; wholesale and retail trade; manufacturers’ shipments, inventories, and orders; export and import trade; and sales of single-family homes. The other statistical activities of the Census Bureau are described below. Data users will find more information about them and descriptions of their data products in the F–5

Other Sources of Products and Services
State Data Centers—The Census Bureau furnishes data products, training in data access and use, technical assistance, and consultation to all States, the District of Columbia, Guam, Puerto Rico, and the U.S. Virgin Islands. State Data Centers, in turn, offer publications for reference, printouts from computer tape, specially prepared reports, maps, and other products and assistance to data users. For a list of the State Data Centers, see the Census Catalog and Guide or contact Customer Services. The list also notes organizations in States participating in the Census Bureau’s Business/ Industry Data Center (BIDC) Program. The BIDC’s help business people, economic development planners, and other data users obtain and use data. Census Information Center (CIC)—The CIC program provides data-related services for nationally based nonprofit organizations that represent minorities or other segments of the population who have been historically undercounted in decennial censuses. The participants include social service, business, professional, civil rights, educational, and religious groups. Through the project, five nonprofit groups now offer their clientele reports, computer tape printouts, and other information from the Census Bureau. To learn more about the program, write to the Census Information Center Branch, Data User Services Division, Bureau of the Census, Washington, DC 20233, or call 301-763-1384. National Clearinghouse—The National Clearinghouse for Census Data Services is a listing of private companies and other organizations that offer assistance in obtaining and DATA PRODUCTS AND USER ASSISTANCE

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annual Census Catalog and Guide. Also, special guides and brochures are prepared for most of them. Contact the Census Bureau’s Customer Services for more information.

Current Demographic and Housing Programs
Two types of current programs complement the 10-year census: population estimates and surveys. The total population of the United States is estimated monthly; the population of States, counties, and metropolitan areas is estimated annually; and the population of places and other governmental units is estimated every 2 years. Projections of future population are made at the national and State levels. The Census Bureau’s many household surveys update population and housing characteristics at the national level and sometimes for States and metropolitan areas, as well. These surveys also obtain many characteristics not included in the 10-year census. The Current Population Survey is taken monthly; the American Housing Survey national sample is taken biennially; the American Housing Survey metropolitan sample is taken in 44 areas, 11 per year in a 4-year cycle; most other surveys are annual or less frequent.

Results of three surveys—the 1988 Farm and Ranch Irrigation Survey, 1988 Census of Horticulture Specialties, and 1988 Agricultural Economics and Land Ownership Survey—are published in conjunction with the 1987 Census of Agriculture. Also, the Census Bureau regularly issues reports from a survey on cotton ginnings.

Governments Census and Surveys
The census of governments, also for years ending in ‘‘2’’ and ‘‘7,’’ covers all types of governments: Federal, State, county, municipal (place), township (county subdivision), school district, and special district. It provides data on such subjects as number of public employees, payrolls, revenue, and expenditures. Annual and quarterly surveys cover the same principal subjects but generate data only for States and the largest local governments.

Economic Censuses and Surveys
The economic censuses provide statistics about business establishments once every 5 years, covering years ending in ‘‘2’’ and ‘‘7.’’ The 1987 Economic Censuses include the censuses of retail trade, wholesale trade, service industries, transportation, manufactures, mineral industries, and construction industries. Also included are related programs, such as statistics on minority- and women-owned businesses, enterprise statistics, and censuses of economic activity in Puerto Rico and some of the outlying areas under U.S. jurisdiction. Several key statistics are tabulated for all industries covered in the censuses. They are number of establishments, number of employees, payroll, and measure of output (sales or receipts, and value of shipments or of work done). Other items vary from sector to sector. The Census Bureau also has programs that provide current statistics on such measures as total sales of particular kinds of businesses or production of particular products. These programs include monthly, quarterly, and annual surveys, the results of which appear in publication series such as Current Business Reports and Current Industrial Reports. The County Business Patterns program offers annual statistics based on data compiled primarily from administrative records.

Foreign Trade Statistics
Monthly U.S. merchandise trade data compiled by the Census Bureau summarize export and import transactions and are based on the official documents filed by shippers and receivers. These figures reflect the flow of merchandise but not intangibles like services and financial commitments. The trade figures trace commodity movements out of and into the U.S. Customs jurisdiction, which includes Puerto Rico and the U.S. Virgin Islands as well as the 50 States and the District of Columbia. Data are published separately on trade between the United States and Puerto Rico, the U.S. Virgin Islands, and other U.S. possessions.

Other Statistical Activities
The Census Bureau also offers international data. It maintains an international data base which is available to the public on computer tape and is used to produce the biennial World Population Profile report. It prepares studies dealing with the demographic and economic characteristics of other countries and world regions. Statistical compendia are another important data product. These publications (sometimes also offered in machinereadable form) draw data from many sources and reorganize them for convenient use. The most widely used compendia are the annual Statistical Abstract of the United States, the County and City Data Book (published every 5 years), and the State and Metropolitan Area Data Book (published approximately every 4 years). DATA PRODUCTS AND USER ASSISTANCE

Agriculture Census and Surveys
The agriculture census is conducted concurrently with the economic censuses. It is the only source of uniform agriculture data at the county level. It provides data on such subjects as the number and size of farms; land use and ownership; livestock, poultry, and crops; and value of products sold. F–6

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Figure 1. 1990 Census Content
100-PERCENT COMPONENT Population Household relationship Sex Race Age Marital status Hispanic origin Housing Number of units in structure Number of rooms in unit Tenure—owned or rented Value of home or monthly rent Congregate housing (meals included in rent) Vacancy characteristics

SAMPLE COMPONENT Population Housing Year moved into residence Number of bedrooms Plumbing and kitchen facilities Telephone in unit Vehicles available Heating fuel Source of water and method of sewage disposal Year structure built Condominium status Farm residence Shelter costs, including utilities

Social characteristics: Education—enrollment and attainment Place of birth, citizenship, and year of entry into U.S. Ancestry Language spoken at home Migration (residence in 1985) Disability Fertility Veteran status Economic characteristics: Labor force Occupation, industry, and class of worker Place of work and journey to work Work experience in 1989 Income in 1989 Year last worked

NOTE: Questions dealing with the subjects covered in the 100-percent component were asked of all persons and housing units. Those covered by the sample component were asked of a sample of the population and housing units.

DATA PRODUCTS AND USER ASSISTANCE

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Figure 2. 1990 Census Printed Reports
Series Title Report(s) issued for Description Geographic areas

1990 CENSUS OF POPULATION AND HOUSING (1990 CPH) 100-Percent Data 1990 CPH-1 Summary Population and Housing Characteristics U.S., States, DC, Puerto Rico, and U.S. Virgin Islands Population and housing unit counts, and summary statistics on age, sex, race, Hispanic origin, household relationship, units in structure, value and rent, number of rooms, tenure, and vacancy characteristics Total population and housing unit counts for 1990 and previous censuses Local governmental units (i.e., counties, places, and towns and townships), other county subdivisions, and American Indian and Alaska Native areas

1990 CPH-2

Population and Housing Unit Counts

U.S., States, DC, Puerto Rico, and U.S. Virgin Islands

States, counties, county subdivisions, places, State component parts of metropolitan areas (MA’s) and urbanized areas (UA’s), and summary geographic areas (for example, urban and rural)

100-Percent and Sample Data 1990 CPH-3 Population and Housing Characteristics for Census Tracts and Block Numbering Areas Population and Housing Characteristics for Congressional Districts of the 103rd Congress MA’s, and the nonmetropolitan balance of each State, Puerto Rico, and U.S. Virgin Islands States and DC Statistics on 100-percent and sample population and housing subjects In MA’s: census tracts/ block numbering areas (BNA’s), places of 10,000 or more inhabitants, and counties. In the remainder of each State: census tracts/ BNA’s, places of 10,000 or more, and counties Congressional districts (CD’s) and, within CD’s, counties, places of 10,000 or more inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, and American Indian and Alaska Native areas

1990 CPH-4

Statistics on 100-percent and sample population and housing subjects

Sample Data 1990 CPH-5 Summary Social, Economic, and Housing Characteristics U.S., States, DC, Puerto Rico, and U.S. Virgin Islands Statistics generally on sample population and housing subjects Local governmental units (i.e., counties, places, and towns and townships), other county subdivisions, and American Indian and Alaska Native areas

1990 CENSUS OF POPULATION (1990 CP) 100-Percent Data 1990 CP-1 General Population Characteristics U.S., States, DC, Puerto Rico, and U.S. Virgin Islands Detailed statistics on age, sex, race, Hispanic origin, marital status, and household relationship characteristics States, counties, places of 1,000 or more inhabitants, county subdivisions of 1,000 or more inhabitants in selected States, State parts of American Indian areas, Alaska Native areas, and summary geographic areas such as urban and rural

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Figure 2. 1990 Census Printed Reports—Con.
Series Title Report(s) issued for Description Geographic areas

1990 CENSUS OF POPULATION (1990 CP)—Con. 100-Percent Data—Con. 1990 CP-1-1A General Population Characteristics for American Indian and Alaska Native Areas U.S. Detailed statistics on age, sex, race, Hispanic origin, marital status, and household relationship characteristics American Indian and Alaska Native areas; i.e., American Indian reservations, off-reservation trust lands, tribal jurisdiction statistical areas (Oklahoma), tribal designated statistical areas, Alaska Native village statistical areas, and Alaska Native Regional Corporations Individual MA’s. For MA’s split by State boundaries, summaries are provided both for the parts and for the whole MA Individual UA’s. For UA‘s split by State boundaries, summaries are provided both for the parts and for the whole UA

1990 CP-1-1B

General Population Characteristics for Metropolitan Areas

U.S.

Detailed statistics on age, sex, race, Hispanic origin, marital status, and household relationship characteristics Detailed statistics on age, sex, race, Hispanic origin, marital status, and household relationship characteristics Sample Data

1990 CP-1-1C

General Population Characteristics for Urbanized Areas

U.S.

1990 CP-2

Social and Economic Characteristics

U.S., States, DC, Puerto Rico, and U.S. Virgin Islands

Statistics generally on sample population subjects

States (including summaries such as urban and rural), counties, places of 2,500 or more inhabitants, county subdivisions of 2,500 or more inhabitants in selected States, Alaska Native areas, and the State portion of American Indian areas American Indian and Alaska Native areas, as for CP-1-1A

1990 CP-2-1A

Social and Economic Characteristics for American Indian and Alaska Native Areas Social and Economic Characteristics for Metropolitan Areas Social and Economic Characteristics for Urbanized Areas Population Subject Reports

U.S.

Statistics generally on sample population subjects

1990 CP-2-1B

U.S.

Statistics generally on sample population subjects

Individual MA’s, as for CP-1-1B

1990 CP-2-1C

U.S.

Statistics generally on sample population subjects

Individual UA’s, as for CP-1-1C

1990 CP-3

Selected subjects

Approximately 30 reports on population census subjects such as migration, education, income, the older population, and racial and ethnic groups

Generally limited to the U.S., regions, and divisions; for some reports, other highly populated areas such as States, MA’s, counties, and large places

DATA PRODUCTS AND USER ASSISTANCE

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Figure 2. 1990 Census Printed Reports—Con.
Series Title Report(s) issued for Description Geographic areas

1990 CENSUS OF HOUSING (1990 CH) 100-Percent Data 1990 CH-1 General Housing Characteristics U.S., States, DC, Puerto Rico, and U.S. Virgin Islands Detailed statistics on units in structure, value and rent, number of rooms, tenure, and vacancy characteristics States, counties, places of 1,000 or more inhabitants, county subdivisions of 1,000 or more inhabitants in selected States, State parts of American Indian areas, Alaska Native areas, and summary geographic areas such as urban and rural American Indian and Alaska Native areas; i.e., American Indian reservations, trust lands, tribal jurisdiction statistical areas (Oklahoma), tribal designated statistical areas, Alaska Native village statistical areas, and Alaska Native Regional Corporations Individual MA’s. For MA’s split by State boundaries, summaries are provided both for the parts and for the whole MA

1990 CH-1-1A

General Housing Characteristics for American Indian and Alaska Native Areas

U.S.

Detailed statistics on units in structure, value and rent, number of rooms, tenure, and vacancy characteristics

1990 CH-1-1B

General Housing Characteristics for Metropolitan Areas

U.S.

Detailed statistics on units in structure, value and rent, number of rooms, tenure, and vacancy characteristics Detailed statistics on units in structure, value and rent, number of rooms, tenure, and vacancy characteristics Sample Data Statistics generally on sample housing subjects

1990 CH-1-1C

General Housing Characteristics for Urbanized Areas

U.S.

Individual UA’s. For UA’s split by State boundaries, summaries are provided both for the parts and for the whole UA

1990 CH-2

Detailed Housing Characteristics

U.S., States, DC, Puerto Rico, and U.S. Virgin Islands

States (including summaries such as urban and rural), counties, places of 2,500 or more inhabitants, county subdivisions of 2,500 or more inhabitants in selected States, Alaska Native areas, and State parts of American Indian areas American Indian and Alaska Native areas, as in 1990 CH-1-1A

1990 CH-2-1A

Detailed Housing Characteristics for American Indian and Alaska Native Areas Detailed Housing Characteristics for Metropolitan Areas Detailed Housing Characteristics for Urbanized Areas Housing Subject Reports

U.S.

Statistics generally on sample housing subjects

1990 CH-2-1B

U.S.

Statistics generally on sample housing subjects

Individual MA’s, as in 1990 CH-1-1B

1990 CH-2-1C

U.S.

Statistics generally on sample housing subjects

Individual UA’s, as in 1990 CH-1-1C

1990 CH-3

Selected subjects

Approximately 10 reports on housing census subjects such as structural characteristics and space utilization

Generally limited to U.S., regions, and divisions; for some reports, other highly populated areas such as States, MA’s, counties, and large places

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Figure 3. 1990 Census Summary Tape Files
Summary Tape File (STF 1A, 1B, etc.) and data type (100 percent or sample)1 A2 3

Geographic areas States, counties, county subdivisions, places, census tracts/ block numbering areas (BNA’s), block groups (BG’s). Also Alaska Native areas and State parts of American Indian areas States, counties, county subdivisions, places, census tracts/ BNA’s, BG’s, blocks. Also Alaska Native areas and State parts of American Indian areas U.S., regions, divisions, States (including summaries such as urban and rural), counties, places of 10,000 or more inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, metropolitan areas (MA’s), urbanized areas (UA’s), American Indian and Alaska Native areas Congressional districts (CD’s) of the 103rd Congress by State; and within each CD: counties, places of 10,000 or more inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, Alaska Native areas, and American Indian areas In MA’s: counties, places of 10,000 or more inhabitants, and census tracts/ BNA’s. In the remainder of each State: counties, places of 10,000 or more inhabitants, and census tracts/ BNA’s States (including summaries such as urban and rural), counties, places of 1,000 or more inhabitants, county subdivisions, State parts of American Indian areas, and Alaska Native areas U.S., regions, divisions, States (including summaries such as urban and rural), counties, places of 10,000 or more inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, all county subdivisions in New England MA’s, American Indian and Alaska Native areas, MA’s, UA’s States, counties, county subdivisions, places, census tracts/ BNA’s, BG’s. Also Alaska Native areas and State parts of American Indian areas Five-digit ZIP Codes within each State U.S., regions, divisions, States, counties, places of 10,000 or more inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, American Indian and Alaska Native areas, MA’s, UA’s CD’s of the 103rd Congress by State; and within each CD: counties, places of 10,000 or more inhabitants, county subdivisions of 10,000 or more inhabitants in selected States

Description

B2 3

STF 1 (100 percent)

C3

Over 900 cells/ items of 100percent population and housing counts and characteristics for each geographic area

D

A

STF 2 (100 percent)

B

C

Over 2,100 cells/ items of 100percent population and housing counts and characteristics for each geographic area. Each of the STF 2 files will include a set of tabulations for the total population and separate presentations of tabulations by race and Hispanic origin

A2 3

B3 STF 3 (Sample) C3

Over 3,300 cells/ items of sample population and housing characteristics for each geographic area

D

DATA PRODUCTS AND USER ASSISTANCE

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Figure 3. 1990 Census Summary Tape Files—Con.
Summary Tape File (STF 1A, 1B, etc.) and data type (100 percent or sample)1 A

Geographic areas In MA’s: counties, places of 10,000 or more inhabitants, and census tracts/ BNA’s. In the remainder of each State: counties, places of 10,000 or more inhabitants, and census tracts/ BNA’s State (including summaries such as urban and rural), counties, places of 2,500 or more inhabitants, county subdivisions of 2,500 or more inhabitants in selected States, all county subdivisions in New England MA’s, State parts of American Indian areas, and Alaska Native areas U.S., regions, divisions, States (including urban and rural and metropolitan and nonmetropolitan components), counties, places of 10,000 or more inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, all county subdivisions in New England MA’s, American Indian and Alaska Native areas, MA’s, UA’s

Description

STF 4 (Sample)

B

C

Over 8,500 cells/ items of sample population and housing characteristics for each geographic area. Each of the STF 4 files will include a set of tabulations for the total population and separate presentations of tabulations by race and Hispanic origin.

1 2 3

Similar STF’s will be prepared for Puerto Rico and the U.S. Virgin Islands. Also available on microfiche. STF 1B microfiche provides only part of the data for blocks and other areas in the tape file. Also available on laser disc (CD-ROM). STF 1B CD-ROM presents the same file extract as STF 1B microfiche.

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Figure 4. Other 1990 Census Data Products
Title Subject Summary Tape Files Description About 20 computer tape files used to produce the subject reports (1990 CP-3 and 1990 CH-3 series). On the average, a file is the source of two subject reports Counts by total, race, and Hispanic origin for the total population and population 18 years old and over, and counts of housing units. Available on tape, CD-ROM, and paper listings Geographic areas U.S., regions, divisions, States, metropolitan areas ( MA’s), and large counties and places

Public Law 94-171 Data File (redistricting data)

States, counties, county subdivisions, places, census tracts/ block numbering areas (BNA’s), block groups (BG’s), and blocks; voting districts where States have identified them for the Census Bureau; and American Indian and Alaska Native areas Counties, MA’s, places of 50,000 or more inhabitants

Census/ Equal Employment Opportunity (EEO) Special File

Sample tabulations showing detailed occupations and educational attainment data by age; cross tabulated by sex, Hispanic origin, and race Summary statistics for all intra-state county-tocounty migration streams and significant interstate county-to-county migration streams. Each record will include codes for the geographic area of destination, and selected characteristics of the persons who made up the migration stream

County-to-County Migration File

States, counties

Public Use Microdata Sample (PUMS) Files

Machine-readable files containing a sample of individual long-form census records showing most population and housing characteristics but with identifying information removed County groups, counties, county subdivisions, and places with 100,000 or more inhabitants MA’s and other large areas with 100,000 or more inhabitants

5 Percent—PUMS Areas 1 Percent—Metropolitan Areas (1990)

User-Defined Areas Tabulations

A set of standard tabulations provided on printouts, tapes, or other products with maps and narrative (if requested) User-defined tabulations for specified geographic areas provided on printouts, tapes, or other products

User-defined areas created by aggregating census blocks

Special Tabulations

User-defined areas or standard areas

DATA PRODUCTS AND USER ASSISTANCE

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Maps are not available.

U.S. Census Bureau