Table B Metropolitan Areas Civilian Labor Force and Banking

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Table B Metropolitan Areas Civilian Labor Force and Banking Powered By Docstoc
					Table B–13. Metropolitan Areas — Civilian Labor Force and Banking

                                                                                                                                                                             Civilian labor force                                           Banking,
                                                                                                                                                                                                                                             20082

                    Metropolitan statistical area
                   Metropolitan statistical area                                                                                                         Total                               Number of           Unemployment
                                                                                                                                                                                            unemployed               rate1
                   with metropolitan divisions
                       Metropolitan division
                                                                                                                                                                             Change,                                                   Number
                                                                                                                                                                              2000–                                                          of    Deposits
                                                                                                                                       2008      2007      2005      2000      2008         2008      2000    2008    2005      2000    offices   (mil. dol.)


Abilene, TX. . . . . . . . . . . . .             .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    82,219    80,285    80,415    75,131     7,088       3,188      3,145    3.9      4.2      4.2        55       2,043
Akron, OH . . . . . . . . . . . . .              .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   391,112   388,588   379,386   365,082    26,030      24,105     14,917    6.2      5.7      4.1       220      10,774
Albany, GA . . . . . . . . . . . . .             .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    76,163    75,686    74,785    71,643     4,520       4,809      3,350    6.3      5.5      4.7        48       2,074
Albany-Schenectady-Troy, NY                      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   458,596   455,379   455,040   434,539    24,057      23,014     14,920    5.0      4.0      3.4       322      17,844
Albuquerque, NM. . . . . . . . .                 .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   412,543   408,409   392,794   370,858    41,685      17,592     15,278    4.3      4.9      4.1       173      10,008
Alexandria, LA. . . . . . . . . . .              .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    71,068    68,386    67,995    63,519     7,549       3,131      3,283    4.4      5.7      5.2        64       1,842

Allentown-Bethlehem-Easton, PA-NJ .                                  .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   420,371   414,947   407,419   385,305    35,066      23,683     14,314    5.6      4.9      3.7       301      13,270
Altoona, PA . . . . . . . . . . . . . . . . .                        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    64,979    64,623    64,749    62,375     2,604       3,415      2,925    5.3      5.2      4.7        61       1,904
Amarillo, TX . . . . . . . . . . . . . . . . .                       .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   129,444   128,555   127,063   117,511    11,933       4,596      4,525    3.6      4.0      3.9        72       4,100
Ames, IA . . . . . . . . . . . . . . . . . . .                       .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    48,704    48,164    46,921    46,543     2,161       1,480        865    3.0      3.1      1.9        44       1,434
Anchorage, AK . . . . . . . . . . . . . . .                          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   195,308   191,406   185,670   169,276    26,032      11,361      8,959    5.8      5.9      5.3        46      10,198
Anderson, IN . . . . . . . . . . . . . . . .                         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    60,958    60,790    63,089    63,804    –2,846       4,271      1,926    7.0      6.5      3.0        50       1,351

Anderson, SC . . . . . . . . .           .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    85,444    84,921    83,885    84,358     1,086       5,873      2,550    6.9      7.4      3.0        64         2,295
Ann Arbor, MI . . . . . . . . .          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   185,136   189,293   189,912   185,202       –66      10,911      4,304    5.9      4.4      2.3       104         5,666
Anniston-Oxford, AL . . . . .            .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    54,277    54,868    53,402    53,392       885       2,755      2,391    5.1      3.8      4.5        35         1,598
Appleton, WI . . . . . . . . . .         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   122,532   123,220   120,369   117,756     4,776       5,460      3,341    4.5      4.5      2.8        86         3,457
Asheville, NC . . . . . . . . .          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   208,431   205,555   199,172   185,077    23,354      10,428      6,032    5.0      4.4      3.3       143         6,650
Athens-Clarke County, GA.                .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   109,232   105,593    99,817    89,410    19,822       5,326      2,845    4.9      4.2      3.2        68         3,011
Atlanta-Sandy Springs-Marietta, GA                               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 2,746,410 2,720,850 2,590,880 2,377,185   369,225     168,954     72,668    6.2      5.2      3.1     1,461     117,227
Atlantic City-Hammonton, NJ . . . . .                            .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   135,611   135,720   137,083   128,989     6,622       9,485      6,009    7.0      5.3      4.7        85       4,097
Auburn-Opelika, AL . . . . . . . . . . .                         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    64,833    65,357    62,957    58,646     6,187       2,969      2,072    4.6      3.2      3.5        41       1,832
Augusta-Richmond County, GA-SC .                                 .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   258,901   256,256   253,668   234,389    24,512      16,295      9,015    6.3      6.0      3.8       134       6,629
Austin-Round Rock, TX. . . . . . . . .                           .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   867,507   847,216   801,653   736,703   130,804      37,874     22,406    4.4      4.5      3.0       469      20,569
Bakersfield, CA . . . . . . . . . . . . . .                      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   363,734   348,792   328,635   293,635    70,099      35,734     24,210    9.8      8.4      8.2        91       5,420

Baltimore-Towson, MD         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 1,405,482 1,401,310 1,369,818 1,330,644    74,838      64,466     50,669    4.6      4.4      3.8       856      48,897
Bangor, ME . . . . . . .     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    79,106    78,778    76,968    74,854     4,252       4,443      2,702    5.6      5.1      3.6        55       1,910
Barnstable Town, MA .        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   121,010   120,934   121,873   113,483     7,527       6,970      3,919    5.8      4.9      3.5       123       5,503
Baton Rouge, LA . . . .      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   377,845   370,143   363,716   339,543    38,302      17,065     16,058    4.5      6.5      4.7       245      13,447
Battle Creek, MI . . . .     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    69,071    70,087    71,691    70,370    –1,299       5,325      2,911    7.7      6.6      4.1        38       1,009
Bay City, MI . . . . . . .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    54,759    55,277    55,534    56,823    –2,064       4,312      2,298    7.9      7.0      4.0        36       1,034
Beaumont-Port Arthur, TX             .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   180,884   179,123   177,682   176,389     4,495      11,928     11,512    6.6      7.6      6.5        88       4,487
Bellingham, WA. . . . . . .          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   109,177   105,765   102,141    88,022    21,155       5,430      4,514    5.0      5.0      5.1        77       3,049
Bend, OR . . . . . . . . . . .       .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    82,107    81,795    75,214    61,802    20,305       6,544      3,324    8.0      5.8      5.4        68       2,191
Billings, MT. . . . . . . . . .      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    86,643    86,823    83,416    76,480    10,163       2,937      3,135    3.4      3.0      4.1        49       3,142
Binghamton, NY . . . . . .           .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   124,364   123,542   122,807   124,890     –526        6,978      4,473    5.6      4.9      3.6        72       2,668
Birmingham-Hoover, AL .              .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   529,090   534,932   525,449   533,010    –3,920      23,706     18,296    4.5      3.5      3.4       362      24,369
Bismarck, ND . . . . . . . . . . . . . . . . .                           .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    62,221    62,056    58,892    54,499     7,722       1,834      1,347    2.9      3.1      2.5        47       2,027
Blacksburg-Christiansburg-Radford, VA                                    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    80,147    78,487    77,439    73,034     7,113       3,951      2,360    4.9      4.0      3.2        69       2,301
Bloomington, IN. . . . . . . . . . . . . . . .                           .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    96,749    96,074    95,027    91,024     5,725       4,866      2,706    5.0      5.2      3.0        67       2,100
Bloomington-Normal, IL. . . . . . . . . . .                              .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    91,064    90,396    87,266    85,458     5,606       4,679      2,868    5.1      4.3      3.4        69      12,147
Boise City-Nampa, ID . . . . . . . . . . . .                             .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   294,206   293,972   277,385   252,169    42,037      15,136      9,282    5.1      3.4      3.7       196       7,159
Boston-Cambridge-Quincy, MA-NH . . . . .                                                 .   .   .   .   .   .   .   .   .   .   . 2,418,567 2,405,420 2,364,101 2,378,742    39,825     115,683     61,121    4.8      4.5      2.6     1,502     152,454
  Boston-Quincy, MA . . . . . . . . . . . . . . . .                                      .   .   .   .   .   .   .   .   .   .   .   979,715   973,905   944,265   959,590    20,125      49,821     25,949    5.1      4.8      2.7       624      97,347
  Cambridge-Newton-Framingham, MA . . . .                                                .   .   .   .   .   .   .   .   .   .   .   819,977   815,355   808,287   821,797    –1,820      35,158     18,181    4.3      4.1      2.2       504      33,797
  Peabody, MA . . . . . . . . . . . . . . . . . . . .                                    .   .   .   .   .   .   .   .   .   .   .   375,683   374,133   374,942   372,932     2,751      20,945     10,407    5.6      5.3      2.8       257      15,759
  Rockingham County-Strafford County, NH.                                                .   .   .   .   .   .   .   .   .   .   .   243,192   242,027   236,607   224,423    18,769       9,759      6,584    4.0      4.0      2.9       117       5,551
Boulder, CO3 . . . . . . . . . . . . . . . . . . . . .                                   .   .   .   .   .   .   .   .   .   .   .   179,179   175,036   169,114   160,390        (X)      7,506      3,847    4.2      4.5      2.4       117       5,795

Bowling Green, KY. . . . . . . . . .                     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    63,440    62,978    60,444    55,029     8,411       3,523      2,136    5.6      5.3      3.9        57       1,839
Bradenton-Sarasota-Venice, FL .                          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   318,125   317,021   308,811   272,084    46,041      21,978      8,670    6.9      3.4      3.2       335      16,704
Bremerton-Silverdale, WA . . . . .                       .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   124,747   122,237   120,540   105,983    18,764       6,237      5,332    5.0      5.1      5.0        76       2,349
Bridgeport-Stamford-Norwalk, CT                          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   470,196   465,045   454,766   445,342    24,854      24,222      8,978    5.2      4.4      2.0       410      24,142
Brownsville-Harlingen, TX . . . . .                      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   146,027   143,314   140,800   127,011    19,016       9,914      8,932    6.8      7.6      7.0        85       4,072
Brunswick, GA . . . . . . . . . . . .                    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    54,575    53,491    52,021    46,688     7,887       2,886      1,703    5.3      4.6      3.6        52       1,970

Buffalo-Niagara Falls, NY . . . .                    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   586,335   579,090   585,000   578,523     7,812      35,303     24,739    6.0      5.3      4.3       308      34,539
Burlington, NC. . . . . . . . . . . .                .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    70,878    69,880    69,027    69,342     1,536       4,671      2,197    6.6      6.0      3.2        50       2,491
Burlington-South Burlington, VT                      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   119,276   118,798   116,858   113,558     5,718       5,164      2,719    4.3      3.3      2.4        72       3,672
Canton-Massillon, OH. . . . . . .                    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   206,406   205,484   203,854   207,120      –714      14,023      8,606    6.8      6.4      4.2       132       5,335
Cape Coral-Fort Myers, FL . . .                      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   285,839   289,153   268,561   207,750    78,089      23,262      6,703    8.1      3.2      3.2       237      10,865
Carson City, NV. . . . . . . . . . .                 .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    29,043    28,250    27,246    26,472     2,571       2,047        989    7.0      5.0      3.7        22       1,160

Casper, WY . . . . . . . . . . . . . . . . . . . .                               ...         .   .   .   .   .   .   .   .   .   .    40,563    40,201    39,220    36,536     4,027       1,163      1,426    2.9      3.6      3.9        20       1,354
Cedar Rapids, IA . . . . . . . . . . . . . . . . .                               ...         .   .   .   .   .   .   .   .   .   .   145,368   143,217   138,129   135,913     9,455       5,863      3,309    4.0      4.4      2.4       112       4,460
Champaign-Urbana, IL . . . . . . . . . . . . .                                   ...         .   .   .   .   .   .   .   .   .   .   122,517   121,384   117,624   115,433     7,084       6,968      4,101    5.7      4.3      3.6       106       4,828
Charleston, WV . . . . . . . . . . . . . . . . . .                               ...         .   .   .   .   .   .   .   .   .   .   140,153   140,869   138,966   145,084    –4,931       5,006      7,608    3.6      4.8      5.2       102       5,304
Charleston-North Charleston-Summerville,                                         SC          .   .   .   .   .   .   .   .   .   .   320,000   313,035   295,466   268,196    51,804      17,920      8,404    5.6      5.4      3.1       203       9,096
Charlotte-Gastonia-Concord, NC-SC . . . .                                        ...         .   .   .   .   .   .   .   .   .   .   860,920   842,433   791,983   734,689   126,231      55,222     24,669    6.4      5.3      3.4       432     108,993
Charlottesville, VA . . . . . . . . . . . . . .                          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   106,824   105,506    98,046    88,071    18,753       3,528      1,823    3.3      3.1      2.1        72       3,256
Chattanooga, TN-GA . . . . . . . . . . . .                               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   264,299   261,684   253,483   247,294    17,005      15,168      8,299    5.7      4.8      3.4       172       7,644
Cheyenne, WY . . . . . . . . . . . . . . . .                             .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    42,431    42,119    41,470    40,237     2,194       1,635      1,505    3.9      4.2      3.7        31       1,199
Chicago-Naperville-Joliet, IL-IN-WI . .                                  .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 4,922,928 4,912,022 4,730,457 4,760,792   162,136     306,186    206,763    6.2      5.9      4.3     3,307     271,733
  Chicago-Naperville-Joliet, IL . . . . . .                              .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 4,129,938 4,122,166 3,963,606 4,014,703   115,235     256,975    180,083    6.2      6.0      4.5     2,753     240,914
  Gary, IN . . . . . . . . . . . . . . . . . . .                         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   334,443   333,042   328,251   326,617     7,826      19,531     11,059    5.8      5.7      3.4       262      10,344
  Lake County-Kenosha County, IL-WI                                      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   458,547   456,814   438,600   419,472    39,075      29,680     15,621    6.5      5.0      3.7       292      20,475

     See footnotes at end of table.




State and Metropolitan Area Data Book: 2010                                                                                                                                                                                                            179
U.S. Census Bureau
Table B–13. Metropolitan Areas — Civilian Labor Force and Banking—Con.

                                                                                                                                                                                         Civilian labor force                                             Banking,
                                                                                                                                                                                                                                                           20082

                     Metropolitan statistical area
                    Metropolitan statistical area                                                                                                                    Total                               Number of           Unemployment
                                                                                                                                                                                                        unemployed               rate1
                    with metropolitan divisions
                        Metropolitan division
                                                                                                                                                                                         Change,                                                     Number
                                                                                                                                                                                          2000–                                                            of    Deposits
                                                                                                                                                   2008      2007      2005      2000      2008         2008      2000    2008    2005      2000      offices   (mil. dol.)


Chico, CA. . . . . . . . . . . . . . . .                             .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   104,323   102,287    98,866    93,147    11,176       8,789      5,777    8.4      6.8      6.2          54       2,799
Cincinnati-Middletown, OH-KY-IN                                      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 1,127,534 1,121,255 1,093,794 1,045,789    81,745      65,372     37,162    5.8      5.3      3.6         846      56,122
Clarksville, TN-KY . . . . . . . . . .                               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   108,816   109,358   104,577    97,639    11,177       7,584      4,117    7.0      5.8      4.2          86       2,805
Cleveland, TN . . . . . . . . . . . . .                              .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    54,324    54,561    54,008    53,211     1,113       3,504      1,999    6.5      5.4      3.8          47       1,659
Cleveland-Elyria-Mentor, OH . . .                                    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 1,081,184 1,094,563 1,092,712 1,105,888   –24,704      70,826     43,033    6.6      5.7      3.9         710      63,764
Coeur d’Alene, ID . . . . . . . . . .                                .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    71,036    69,500    66,146    56,530    14,506       3,970      3,512    5.6      4.2      6.2          48       1,613

College Station-Bryan, TX .                          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   106,654   103,140   103,294    93,157    13,497       4,252      3,560    4.0      4.2      3.8          64       2,816
Colorado Springs, CO. . . .                          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   314,549   312,503   303,909   277,206    37,343      18,083      8,084    5.7      5.4      2.9         166       5,547
Columbia, MO . . . . . . . . .                       .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    91,491    92,110    90,739    84,549     6,942       3,996      1,858    4.4      3.6      2.2          72       2,487
Columbia, SC . . . . . . . . .                       .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   372,254   367,683   355,067   337,429    34,825      22,000     10,462    5.9      5.7      3.1         205      13,336
Columbus, GA-AL . . . . . .                          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   128,858   127,986   127,892   125,172     3,686       7,997      5,563    6.2      5.7      4.4          79       5,479
Columbus, IN . . . . . . . . .                       .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    39,540    38,705    37,330    37,522     2,018       1,828        946    4.6      4.7      2.5          28       2,510

Columbus, OH . . . . . . . . . .                             ...         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   965,722   957,225   923,185   881,927    83,795      53,482     27,938    5.5      5.2      3.2         546      32,432
Corpus Christi, TX . . . . . . . .                           ...         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   204,553   198,523   197,891   184,880    19,673       9,651     10,017    4.7      5.6      5.4         119       4,188
Corvallis, OR . . . . . . . . . . .                          ...         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    43,162    42,387    42,304    41,224     1,938       1,956      1,598    4.5      4.9      3.9          15         758
Cumberland, MD-WV . . . . . .                                ...         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    48,854    48,564    48,907    45,973     2,881       2,673      2,660    5.5      5.8      5.8          28         861
Dallas-Fort Worth-Arlington,                                 TX .        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 3,137,422 3,093,090 3,013,317 2,844,220   293,202     156,352    101,922    5.0      5.2      3.6       1,789     191,445
  Dallas-Plano-Irving, TX . . .                              ...         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 2,099,191 2,069,466 2,014,958 1,913,740   185,451     106,072     68,396    5.1      5.3      3.6       1,246     102,215
  Fort Worth-Arlington, TX . .                               ...         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 1,038,231 1,023,624   998,359   930,480   107,751      50,280     33,526    4.8      5.1      3.6         543      89,230
Dalton, GA . . . . . . . . . . . . . . . . .                                 .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    66,618    67,862    66,907    63,538     3,080       5,051      2,175    7.6      4.6      3.4          45       1,929
Danville, IL . . . . . . . . . . . . . . . . .                               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    37,738    37,852    37,895    38,878    –1,140       3,096      2,305    8.2      6.5      5.9          35         977
Danville, VA . . . . . . . . . . . . . . . .                                 .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    51,314    50,731    53,175    53,016    –1,702       4,092      1,971    8.0      7.7      3.7          43       1,583
Davenport-Moline-Rock Island, IA-IL                                          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   207,527   206,059   202,440   199,904     7,623      10,780      8,324    5.2      4.7      4.2         158       6,328
Dayton, OH . . . . . . . . . . . . . . . .                                   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   424,865   426,765   424,901   431,838    –6,973      29,986     16,702    7.1      6.0      3.9         267      10,256
Decatur, AL . . . . . . . . . . . . . . . .                                  .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    72,624    72,481    70,920    73,564     –940        3,556      2,852    4.9      4.1      3.9          48       1,788

Decatur, IL . . . . . . . . . . . . . . . . . . . . . .                                          .   .   .   .   .   .   .   .   .   .   .   .    54,766    54,576    52,937    55,872   –1,106        3,962      2,936    7.2      6.3      5.3          42       1,881
Deltona-Daytona Beach-Ormond Beach, FL                                                           .   .   .   .   .   .   .   .   .   .   .   .   253,605   250,761   240,910   209,694   43,911       16,766      7,071    6.6      3.7      3.4         165       8,175
Denver-Aurora, CO3 . . . . . . . . . . . . . . . .                                               .   .   .   .   .   .   .   .   .   .   .   . 1,399,963 1,370,146 1,322,984 1,243,637       (X)      70,440     32,018    5.0      5.3      2.6         731      45,971
Des Moines-West Des Moines, IA. . . . . . .                                                      .   .   .   .   .   .   .   .   .   .   .   .   313,626   310,454   296,314   277,021   36,605       12,218      6,746    3.9      4.0      2.4         231      12,215
Detroit-Warren-Livonia, MI. . . . . . . . . . .                                                  .   .   .   .   .   .   .   .   .   .   .   . 2,106,586 2,153,001 2,191,927 2,284,799 –178,213      184,393     84,462    8.8      7.3      3.7       1,214      90,584
  Detroit-Livonia-Dearborn, MI . . . . . . . . .                                                 .   .   .   .   .   .   .   .   .   .   .   .   866,827   883,911   904,284   952,300  –85,473       86,123     41,231    9.9      8.7      4.3         409      33,253
  Warren-Troy-Farmington Hills, MI . . . . .                                                     .   .   .   .   .   .   .   .   .   .   .   . 1,239,759 1,269,090 1,287,643 1,332,499  –92,740       98,270     43,231    7.9      6.3      3.2         805      57,331

Dothan, AL . . .     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    64,821    66,288    64,591    65,635     –814        3,058      2,666    4.7      3.3      4.1          53         2,501
Dover, DE . . .      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    74,620    74,601    72,113    63,919    10,701       3,523      2,269    4.7      3.5      3.5          38         1,709
Dubuque, IA . .      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    52,141    52,158    50,801    48,732     3,409       2,249      1,655    4.3      4.4      3.4          44         2,057
Duluth, MN-WI        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   145,825   144,020   141,172   142,017     3,808       9,048      6,222    6.2      5.3      4.4         104         3,463
Durham, NC . .       .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   263,307   255,427   245,590   231,882    31,425      12,750      6,794    4.8      4.3      2.9         132         6,892
Eau Claire, WI.      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    90,764    91,469    86,709    83,467     7,297       3,965      2,943    4.4      4.6      3.5          65         2,171
El Centro, CA . . . .            .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    73,528    66,663    60,986    56,067    17,461      16,820      9,771   22.9     16.1     17.4          19         1,671
Elizabethtown, KY .              .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    54,769    54,438    52,910    49,253     5,516       3,449      2,159    6.3      6.0      4.4          54         1,494
Elkhart-Goshen, IN.              .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    98,787   101,726   101,763    97,342     1,445       8,528      2,453    8.6      4.5      2.5          67         2,161
Elmira, NY . . . . . .           .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    41,535    41,125    40,667    42,801    –1,266       2,353      1,841    5.7      5.4      4.3          25         1,161
El Paso, TX . . . . .            .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   298,447   292,226   291,210   274,796    23,651      18,723     18,686    6.3      7.0      6.8          84         5,350
Erie, PA . . . . . . . .         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   140,791   139,566   140,521   140,269       522       8,015      6,361    5.7      5.4      4.5          88         3,227

Eugene-Springfield, OR                       .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   184,007   181,730   175,187   169,694    14,313       12,119     9,164    6.6      6.2      5.4          96         3,930
Evansville, IN-KY . . . . .                  .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   180,667   181,339   182,712   179,045     1,622        9,534     5,764    5.3      5.0      3.2         132         5,590
Fairbanks, AK . . . . . . .                  .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    45,687    45,515    45,223    40,952     4,735        2,773     2,443    6.1      5.8      6.0          23           920
Fargo, ND-MN. . . . . . .                    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   120,876   118,728   113,179   104,117    16,759        3,557     2,481    2.9      2.9      2.4          92         4,351
Farmington, NM. . . . . .                    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    57,973    56,335    54,332    49,687     8,286        2,139     2,860    3.7      5.4      5.8          27         1,189
Fayetteville, NC . . . . . .                 .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   152,210   148,333   146,221   133,687    18,523        9,454     6,172    6.2      5.5      4.6          70         2,632
Fayetteville-Springdale-Rogers, AR-MO .                                                  .   .   .   .   .   .   .   .   .   .   .   .   .   .   229,108   228,005   219,287   176,778    52,330       8,922      5,122    3.9      3.3      2.9         221         7,226
Flagstaff, AZ . . . . . . . . . . . . . . . . . . .                                      .   .   .   .   .   .   .   .   .   .   .   .   .   .    73,433    70,859    67,531    62,556    10,877       3,754      2,817    5.1      4.9      4.5          28           991
Flint, MI . . . . . . . . . . . . . . . . . . . . . .                                    .   .   .   .   .   .   .   .   .   .   .   .   .   .   203,026   209,230   212,556   215,024   –11,998      21,481      9,519   10.6      7.8      4.4          94         5,079
Florence, SC. . . . . . . . . . . . . . . . . . .                                        .   .   .   .   .   .   .   .   .   .   .   .   .   .    94,786    93,115    92,327    92,527     2,259       7,235      3,936    7.6      8.8      4.3          68         2,635
Florence-Muscle Shoals, AL. . . . . . . . .                                              .   .   .   .   .   .   .   .   .   .   .   .   .   .    67,617    68,609    66,262    70,038    –2,421       3,649      3,223    5.4      4.5      4.6          51         2,150
Fond du Lac, WI . . . . . . . . . . . . . . . .                                          .   .   .   .   .   .   .   .   .   .   .   .   .   .    54,979    54,787    56,066    55,970      –991       2,642      1,677    4.8      4.7      3.0          38         1,639

Fort Collins-Loveland, CO . . . . . . . . . .                                            .   .   .   .   .   .   .   .   .   .   .   .   .   .   176,537   173,400   167,010   146,659    29,878       7,542      3,643    4.3      4.5      2.5         100         4,412
Fort Smith, AR-OK . . . . . . . . . . . . . . .                                          .   .   .   .   .   .   .   .   .   .   .   .   .   .   138,381   138,358   134,251   127,313    11,068       6,711      4,681    4.8      4.5      3.7         128         4,037
Fort Walton Beach-Crestview-Destin, FL                                                   .   .   .   .   .   .   .   .   .   .   .   .   .   .    97,298    96,890    94,964    80,410    16,888       4,442      2,959    4.6      2.8      3.7          90         3,272
Fort Wayne, IN . . . . . . . . . . . . . . . . .                                         .   .   .   .   .   .   .   .   .   .   .   .   .   .   213,845   214,002   211,106   208,914     4,931      12,832      5,373    6.0      5.1      2.6         129         4,915
Fresno, CA . . . . . . . . . . . . . . . . . . . .                                       .   .   .   .   .   .   .   .   .   .   .   .   .   .   435,244   422,946   409,527   388,267    46,977      45,997     40,357   10.6      9.0     10.4         158         8,916
Gadsden, AL. . . . . . . . . . . . . . . . . . .                                         .   .   .   .   .   .   .   .   .   .   .   .   .   .    45,487    45,433    46,265    48,595    –3,108       2,433      2,512    5.3      4.0      5.2          27         1,131

Gainesville, FL . . . .              .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   139,475   135,734   128,869   122,625    16,850        5,945     3,725    4.3      2.9      3.0          72         3,082
Gainesville, GA . . . .              .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    92,616    90,422    83,312    73,894    18,722        4,958     2,156    5.4      4.4      2.9          60         2,567
Glens Falls, NY . . . .              .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    68,506    67,782    67,729    63,520     4,986        3,875     2,499    5.7      4.6      3.9          47         1,888
Goldsboro, NC . . . .                .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    53,225    52,643    51,368    50,900     2,325        3,172     2,043    6.0      5.3      4.0          35         1,200
Grand Forks, ND-MN                   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    55,924    55,951    55,037    52,100     3,824        2,047     1,763    3.7      3.6      3.4          49         1,751
Grand Junction, CO .                 .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    82,111    78,489    71,272    59,016    23,095        3,208     1,952    3.9      5.0      3.3          48         2,110
Grand Rapids-Wyoming, MI .                               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   404,442   409,189   406,778   402,535     1,907      29,039     12,993    7.2      5.9      3.2         253      11,916
Great Falls, MT . . . . . . . . .                        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    40,035    39,571    38,646    38,328     1,707       1,653      1,888    4.1      3.6      4.9          22         993
Greeley, CO3 . . . . . . . . . .                         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   119,519   118,012   111,829    93,728        (X)      6,295      2,516    5.3      5.6      2.7          79       3,856
Green Bay, WI . . . . . . . . .                          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   170,824   171,851   168,286   162,787     8,037       7,908      4,697    4.6      4.7      2.9         126       6,396
Greensboro-High Point, NC .                              .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   368,465   365,558   362,621   351,381    17,084      23,838     12,375    6.5      5.2      3.5         218      10,646
Greenville, NC. . . . . . . . . .                        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    89,954    88,053    82,799    78,470    11,484       5,985      3,340    6.7      5.9      4.3          50       1,771
     See footnotes at end of table.




180                                                                                                                                                                                                       State and Metropolitan Area Data Book: 2010
                                                                                                                                                                                                                                                   U.S. Census Bureau
Table B–13. Metropolitan Areas — Civilian Labor Force and Banking—Con.

                                                                                                                                                                                 Civilian labor force                                           Banking,
                                                                                                                                                                                                                                                 20082

                    Metropolitan statistical area
                   Metropolitan statistical area                                                                                                             Total                               Number of           Unemployment
                                                                                                                                                                                                unemployed               rate1
                   with metropolitan divisions
                       Metropolitan division
                                                                                                                                                                                 Change,                                                   Number
                                                                                                                                                                                  2000–                                                          of    Deposits
                                                                                                                                           2008      2007      2005      2000      2008         2008      2000    2008    2005      2000    offices   (mil. dol.)


Greenville-Mauldin-Easley, SC . . .                              .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   318,194   311,954   300,058   297,435    20,759      18,670      8,107    5.9      5.8      2.7       221      12,278
Gulfport-Biloxi, MS . . . . . . . . . . .                        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   113,370   112,622   121,222   116,945    –3,575       6,480      5,716    5.7     10.8      4.9        91       3,902
Hagerstown-Martinsburg, MD-WV .                                  .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   120,698   121,680   119,022   113,224     7,474       6,384      4,138    5.3      4.2      3.7        93       3,214
Hanford-Corcoran, CA . . . . . . . .                             .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    59,049    57,924    54,155    49,214     9,835       6,303      4,912   10.7      9.5     10.0        18         992
Harrisburg-Carlisle, PA . . . . . . . .                          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   285,990   281,534   277,691   268,358    17,632      13,097      9,093    4.6      4.0      3.4       235       8,547
Harrisonburg, VA . . . . . . . . . . . .                         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    64,834    64,790    61,804    55,446     9,388       2,380      1,048    3.7      3.2      1.9        57       1,695

Hartford-West Hartford-East Hartford, CT .                                           .   .   .   .   .   .   .   .   .   .   .   .   .   638,320   627,750   611,975   589,340    48,980      36,472     13,710    5.7      5.0      2.3       399      32,917
Hattiesburg, MS. . . . . . . . . . . . . . . . . .                                   .   .   .   .   .   .   .   .   .   .   .   .   .    66,166    66,194    63,467    60,327     5,839       3,742      2,940    5.7      6.3      4.9        63       2,101
Hickory-Lenoir-Morganton, NC . . . . . . . .                                         .   .   .   .   .   .   .   .   .   .   .   .   .   172,627   172,863   177,037   188,253   –15,626      13,381      5,640    7.8      6.6      3.0       106       4,553
Hinesville-Fort Stewart, GA . . . . . . . . . .                                      .   .   .   .   .   .   .   .   .   .   .   .   .    31,703    30,086    28,833    24,045     7,658       1,828      1,176    5.8      5.4      4.9        14         455
Holland-Grand Haven, MI . . . . . . . . . . .                                        .   .   .   .   .   .   .   .   .   .   .   .   .   134,490   136,478   136,209   136,058    –1,568       9,471      3,602    7.0      5.2      2.6        89       3,722
Honolulu, HI . . . . . . . . . . . . . . . . . . . .                                 .   .   .   .   .   .   .   .   .   .   .   .   .   454,034   447,789   441,871   433,110    20,924      15,965     16,683    3.5      2.7      3.9       194      21,135

Hot Springs, AR. . . . . . . . . . . . . .                           .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    42,644    42,468    41,609    38,466     4,178       2,234      1,630    5.2      5.5      4.2        63       1,515
Houma-Bayou Cane-Thibodaux, LA                                       .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   106,378   103,524    96,782    86,817    19,561       3,675      3,707    3.5      5.9      4.3        85       3,551
Houston-Sugar Land-Baytown, TX .                                     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 2,781,319 2,723,349 2,613,898 2,386,595   394,724     134,351    102,985    4.8      5.6      4.3     1,546     109,316
Huntington-Ashland, WV-KY-OH . . .                                   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   132,415   133,508   130,805   125,778     6,637       6,578      7,175    5.0      5.4      5.7       110       3,902
Huntsville, AL . . . . . . . . . . . . . . .                         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   204,294   201,848   192,134   183,533    20,761       7,654      5,823    3.7      3.2      3.2       109       5,975
Idaho Falls, ID. . . . . . . . . . . . . . .                         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    62,074    61,463    58,916    50,667    11,407       2,111      1,729    3.4      2.8      3.4        33       1,232
Indianapolis-Carmel, IN.             .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   905,494   899,468   876,623   820,765    84,729      46,284     19,675    5.1      4.8      2.4       597      26,382
Iowa City, IA . . . . . . . .        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    90,871    89,746    86,066    78,931    11,940       2,789      1,578    3.1      3.3      2.0        59       2,480
Ithaca, NY . . . . . . . . .         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    56,125    55,569    54,684    50,848     5,277       2,323      1,658    4.1      3.6      3.3        35       1,442
Jackson, MI . . . . . . . .          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    76,513    77,901    78,272    79,088    –2,575       6,668      2,692    8.7      6.7      3.4        51       1,671
Jackson, MS . . . . . . . .          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   261,281   260,560   263,799   249,204    12,077      14,501     11,901    5.5      6.0      4.8       216       8,989
Jackson, TN . . . . . . . .          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    56,493    56,011    54,487    54,707     1,786       3,721      2,088    6.6      5.6      3.8        50       1,775

Jacksonville, FL. . .    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   684,326   669,963   628,524   589,349    94,977      39,880     19,041    5.8      3.7      3.2       325      34,715
Jacksonville, NC . .     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    62,744    59,798    56,251    53,185     9,559       3,608      2,327    5.8      5.4      4.4        26         941
Janesville, WI . . . .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    83,690    84,651    83,497    82,911       779       5,091      3,431    6.1      5.9      4.1        48       1,935
Jefferson City, MO .     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    76,910    77,368    77,466    76,569       341       3,794      2,097    4.9      4.4      2.7        64       3,367
Johnson City, TN . .     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    99,879    98,111    95,606    91,558     8,321       5,899      4,189    5.9      5.3      4.6        72       2,885
Johnstown, PA . . .      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    68,902    67,833    67,081    66,652     2,250       4,298      4,095    6.2      6.1      6.1        78       2,452
Jonesboro, AR . . . . . . . . . . . .                        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    57,208    56,570    56,132    54,229     2,979       2,749      2,217    4.8      5.0      4.1        67       2,214
Joplin, MO . . . . . . . . . . . . . . .                     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    83,663    84,024    81,944    81,844     1,819       4,394      2,738    5.3      4.9      3.3        83       2,229
Kalamazoo-Portage, MI . . . . . .                            .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   173,755  175,686    173,410   172,467     1,288      11,909      5,529    6.9      5.6      3.2       100       3,272
Kankakee-Bradley, IL . . . . . . . .                         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    56,256    55,884    52,782    52,406     3,850       4,951      2,422    8.8      6.6      4.6        43       1,803
Kansas City, MO-KS. . . . . . . . .                          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 1,040,409 1,038,111 1,025,475   999,659    40,750      59,547     33,343    5.7      5.6      3.3       783      39,988
Kennewick-Pasco-Richland, WA .                               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   123,121   117,275   113,804    99,026    24,095       6,609      5,397    5.4      6.1      5.5        58       2,118
Killeen-Temple-Fort Hood, TX .                           .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   157,558   152,534   150,003   133,702    23,856       7,954      5,892    5.0      5.2      4.4        89          3,384
Kingsport-Bristol-Bristol, TN-VA                         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   146,729   143,610   141,668   140,195     6,534       8,003      5,326    5.5      5.3      3.8       125          4,391
Kingston, NY. . . . . . . . . . . . .                    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    90,702    90,856    91,967    88,599     2,103       5,022      3,146    5.5      4.4      3.6        66          2,287
Knoxville, TN . . . . . . . . . . . .                    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   358,249   354,674   341,056   318,562    39,687      18,622     10,818    5.2      4.5      3.4       255         11,113
Kokomo, IN . . . . . . . . . . . . .                     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    44,527    45,486    47,164    50,452    –5,925       3,478      1,501    7.8      6.3      3.0        35          1,220
La Crosse, WI-MN . . . . . . . . .                       .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    76,330    75,717    72,728    72,536     3,794       3,101      2,391    4.1      4.1      3.3        53          2,023

Lafayette, IN . . . . . . . . . . . . .                  .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    97,414    96,173    94,347    93,802     3,612       4,745      2,390    4.9      4.8      2.5        73         2,380
Lafayette, LA . . . . . . . . . . . .                    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   136,592   133,723   127,359   118,612    17,980       4,554      4,827    3.3      5.0      4.1       114         4,433
Lake Charles, LA . . . . . . . . . .                     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    96,902    95,253    95,848    90,894     6,008       4,135      4,308    4.3      7.1      4.7        76         2,752
Lake Havasu City-Kingman, AZ                             .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    93,421    91,583    88,632    68,585    24,836       6,503      2,996    7.0      4.2      4.4        50         2,299
Lakeland-Winter Haven, FL . . .                          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   272,831   266,444   254,222   231,280    41,551      18,301      9,529    6.7      4.0      4.1       147         5,750
Lancaster, PA . . . . . . . . . . . .                    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   271,836   267,664   267,410   250,543    21,293      11,593      7,085    4.3      3.7      2.8       205         8,804
Lansing-East Lansing, MI . . . .                         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   250,193   251,507   247,992   247,567     2,626      17,127      7,069    6.8      5.9      2.9       128         4,720
Laredo, TX . . . . . . . . . .           .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    92,273    89,644    85,980    70,828    21,445       4,981      4,348    5.4      6.0      6.1        52       5,758
Las Cruces, NM . . . . . .               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    89,929    87,709    84,736    76,425    13,504       3,995      4,695    4.4      5.7      6.1        43       1,331
Las Vegas-Paradise, NV .                 .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   987,998   945,515   870,139   727,521   260,477      65,120     33,588    6.6      4.4      4.6       419     169,570
Lawrence, KS . . . . . . . .             .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    62,042    62,198    63,278    58,476     3,566       2,447      1,660    3.9      4.0      2.8        58       1,597
Lawton, OK . . . . . . . . .             .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    45,971    45,192    45,230    43,323     2,648       1,778      1,587    3.9      4.5      3.7        43       1,151
Lebanon, PA . . . . . . . . .            .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    72,600    71,607    70,075    64,143     8,457       3,038      2,039    4.2      3.6      3.2        46       1,629

Lewiston, ID-WA . . . . . . . . . . . . . . . . .                                    .   .   .   .   .   .   .   .   .   .   .   .   .    29,690    29,516    29,529    28,622     1,068       1,456      1,458    4.9      4.7      5.1        24         706
Lewiston-Auburn, ME . . . . . . . . . . . . . .                                      .   .   .   .   .   .   .   .   .   .   .   .   .    58,517    58,297    56,797    55,241     3,276       3,199      1,839    5.5      4.9      3.3        32       1,124
Lexington-Fayette, KY . . . . . . . . . . . . .                                      .   .   .   .   .   .   .   .   .   .   .   .   .   237,072   237,005   228,150   228,020     9,052      12,101      6,957    5.1      4.7      3.1       189       7,814
Lima, OH . . . . . . . . . . . . . . . . . . . . . .                                 .   .   .   .   .   .   .   .   .   .   .   .   .    51,707    52,115    52,541    51,604       103       3,817      2,259    7.4      6.0      4.4        37       1,705
Lincoln, NE. . . . . . . . . . . . . . . . . . . . .                                 .   .   .   .   .   .   .   .   .   .   .   .   .   169,005   167,272   165,714   158,276    10,729       5,194      3,712    3.1      3.6      2.3       142       4,649
Little Rock-North Little Rock-Conway, AR .                                           .   .   .   .   .   .   .   .   .   .   .   .   .   342,774   338,667   331,842   311,965    30,809      14,945     11,272    4.4      4.5      3.6       348      12,108
Logan, UT-ID . . . . . . . . . . . . . . . . . . . .                                     .   .   .   .   .   .   .   .   .   .   .   .    66,874    66,333    63,684    53,210    13,664       1,821      1,505    2.7      3.3      2.8        26       1,029
Longview, TX . . . . . . . . . . . . . . . . . . . .                                     .   .   .   .   .   .   .   .   .   .   .   .   107,972   105,343   102,425    92,647    15,325       4,500      4,875    4.2      5.0      5.3        77       3,561
Longview, WA . . . . . . . . . . . . . . . . . . . .                                     .   .   .   .   .   .   .   .   .   .   .   .    44,267    43,479    42,766    43,153     1,114       3,627      2,735    8.2      7.2      6.3        20         908
Los Angeles-Long Beach-Santa Ana, CA                                                     .   .   .   .   .   .   .   .   .   .   .   . 6,610,615 6,535,625 6,404,471 6,158,469   452,146     459,994    304,466    7.0      5.0      4.9     2,480     307,913
  Los Angeles-Long Beach-Glendale, CA .                                                  .   .   .   .   .   .   .   .   .   .   .   . 4,972,047 4,912,605 4,809,957 4,677,326   294,721     373,774    252,432    7.5      5.3      5.4     1,764     240,130
  Santa Ana-Anaheim-Irvine, CA . . . . . . .                                             .   .   .   .   .   .   .   .   .   .   .   . 1,638,568 1,623,020 1,594,514 1,481,143   157,425      86,220     52,034    5.3      3.8      3.5       716      67,783
Louisville/Jefferson County,                 KY-IN .             .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   628,442   625,930   609,635   610,053    18,389      39,365     21,930    6.3      5.9      3.6       499      21,395
Lubbock, TX . . . . . . . . . .              .....               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   140,954   139,181   140,825   130,798    10,156       5,318      4,715    3.8      4.1      3.6       105       5,148
Lynchburg, VA. . . . . . . . .               .....               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   124,344   122,025   117,674   113,516    10,828       5,218      2,514    4.2      4.0      2.2        98       3,767
Macon, GA . . . . . . . . . . .              .....               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   114,684   111,774   110,759   104,415    10,269       7,195      4,299    6.3      5.5      4.1        70       4,116
Madera, CA . . . . . . . . . .               .....               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    66,262    64,027    62,235    54,910    11,352       6,217      4,770    9.4      7.9      8.7        23         990
Madison, WI . . . . . . . . . .              .....               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   339,540   339,569   332,550   310,071    29,469      11,888      7,565    3.5      3.3      2.4       240      13,333

     See footnotes at end of table.




State and Metropolitan Area Data Book: 2010                                                                                                                                                                                                                181
U.S. Census Bureau
Table B–13. Metropolitan Areas — Civilian Labor Force and Banking—Con.

                                                                                                                                                                                  Civilian labor force                                             Banking,
                                                                                                                                                                                                                                                    20082

                     Metropolitan statistical area
                    Metropolitan statistical area                                                                                                           Total                                 Number of           Unemployment
                                                                                                                                                                                                 unemployed               rate1
                    with metropolitan divisions
                        Metropolitan division
                                                                                                                                                                                  Change,                                                     Number
                                                                                                                                                                                   2000–                                                            of    Deposits
                                                                                                                                      2008        2007        2005        2000      2008         2008      2000    2008    2005      2000      offices   (mil. dol.)


Manchester-Nashua, NH . . . .                 .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    228,290     228,273     225,430     214,534     13,756       8,723      5,546    3.8      3.7      2.6         105       8,687
Mansfield, OH . . . . . . . . . . .           .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .     62,685      62,416      62,554      63,272      –587        4,661      3,197    7.4      6.5      5.1          48       1,589
McAllen-Edinburg-Mission, TX                  .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    282,401     272,708     261,646     210,984     71,417      20,744     19,442    7.3      7.9      9.2         149       8,729
Medford, OR . . . . . . . . . . . .           .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    102,413     101,621      99,630      90,558     11,855       7,913      5,094    7.7      6.2      5.6          77       2,732
Memphis, TN-MS-AR . . . . . .                 .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    617,700     615,998     602,321     593,697     24,003      41,242     22,734    6.7      6.1      3.8         413      21,391
Merced, CA . . . . . . . . . . . .            .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    103,399     100,884      99,317      90,295     13,104      13,097      8,663   12.7     10.1      9.6          34       1,742

Miami-Fort Lauderdale-Pompano Beach, FL . . . . . . .                                                                 .   .   . 2,850,246 2,811,798 2,683,631 2,500,458           349,788     165,161    110,498    5.8      4.2      4.4       1,618     146,077
  Fort Lauderdale-Pompano Beach-Deerfield Beach, FL                                                                   .   .   . 1,009,527   994,040   950,842   855,214           154,313      54,205     31,101    5.4      3.6      3.6         474      34,829
  Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . .                                                         .   .   . 1,212,446 1,196,086 1,133,274 1,103,485           108,961      69,781     56,585    5.8      4.6      5.1         650      74,987
  West Palm Beach-Boca Raton-Boynton Beach, FL . . .                                                                  .   .   .   628,273   621,672   599,515   541,759            86,514      41,175     22,812    6.6      4.2      4.2         494      36,261
Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . .                                                   .   .   .    52,597    52,796    52,976    54,097            –1,500       3,276      1,802    6.2      5.9      3.3          35       1,312
Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .                                               .   .   .    75,267    71,541    66,595    58,122            17,145       2,152      2,448    2.9      3.7      4.2          46       3,358

Milwaukee-Waukesha-West Allis, WI . . . .                                     .   .   .   .   .   .   .   .   .   .   .   .   .   805,798   808,982   785,623   807,509            –1,711      38,931     29,066    4.8      5.0      3.6         611      44,655
Minneapolis-St. Paul-Bloomington, MN-WI                                       .   .   .   .   .   .   .   .   .   .   .   .   . 1,845,280 1,835,069 1,810,466 1,752,907            92,373      95,073     46,826    5.2      3.9      2.7         853      64,509
Missoula, MT . . . . . . . . . . . . . . . . . . .                            .   .   .   .   .   .   .   .   .   .   .   .   .    57,571    59,154    57,486    54,211             3,360       2,599      2,170    4.5      3.3      4.0          39       1,534
Mobile, AL . . . . . . . . . . . . . . . . . . . . .                          .   .   .   .   .   .   .   .   .   .   .   .   .   185,861   184,492   178,417   186,720             –859        9,448      8,147    5.1      4.2      4.4         115       5,370
Modesto, CA. . . . . . . . . . . . . . . . . . . .                            .   .   .   .   .   .   .   .   .   .   .   .   .   234,993   229,261   227,937   207,769            27,224      26,153     16,156   11.1      8.5      7.8         103       5,700
Monroe, LA . . . . . . . . . . . . . . . . . . . .                            .   .   .   .   .   .   .   .   .   .   .   .   .    81,889    81,596    83,145    79,949             1,940       4,053      3,633    4.9      5.7      4.5          64       2,433
Monroe, MI . . . . . . . . . . . . .          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .     76,283      77,707      77,830      77,194       –911        6,814     2,438    8.9      6.1      3.2          45         1,840
Montgomery, AL . . . . . . . . .              .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    171,198     171,122     166,802     165,208      5,990        8,817     6,148    5.2      3.7      3.7         115         6,854
Morgantown, WV . . . . . . . . .              .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .     63,284      62,476      59,041      54,631      8,653        1,865     2,524    2.9      3.8      4.6          46         1,978
Morristown, TN . . . . . . . . . .            .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .     64,800      64,059      63,595      62,111      2,689        4,597     2,649    7.1      5.9      4.3          45         1,590
Mount Vernon-Anacortes, WA                    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .     58,906      57,481      56,043      51,918      6,988        3,351     3,009    5.7      5.9      5.8          50         1,987
Muncie, IN . . . . . . . . . . . . .          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .     55,341      55,366      56,003      58,968     –3,627        3,726     1,959    6.7      6.7      3.3          40         1,523

Muskegon-Norton Shores, MI. . . . . . . . . . . . . .                                             .   .   .   .   .   .   .   .     89,062      89,857      90,011      85,583      3,479       7,871      3,494    8.8      6.9      4.1          42       1,507
Myrtle Beach-North Myrtle Beach-Conway, SC . .                                                    .   .   .   .   .   .   .   .    131,478     129,820     121,284     106,429     25,049       9,417      3,731    7.2      5.8      3.5         129       5,691
Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . .                                    .   .   .   .   .   .   .   .     76,275      73,998      71,716      66,625      9,650       3,886      2,395    5.1      4.4      3.6          50       2,581
Naples-Marco Island, FL . . . . . . . . . . . . . . . . .                                         .   .   .   .   .   .   .   .    151,806     153,243     145,161     116,109     35,697      10,253      4,311    6.8      3.4      3.7         154      11,026
Nashville-Davidson—Murfreesboro—Franklin, TN                                                      .   .   .   .   .   .   .   .    796,761     784,887     751,880     717,214     79,547      43,864     22,990    5.5      4.5      3.2         553      31,439
New Haven-Milford, CT. . . . . . . . . . . . . . . . . .                                          .   .   .   .   .   .   .   .    448,046     442,828     432,786     413,770     34,276      28,115     10,178    6.3      5.3      2.5         278      17,102
New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . .                                                         .   .     532,559     512,108        (NA)     625,846   –93,287      23,346     29,357    4.4     (NA)      4.7         377      24,564
New York-Northern New Jersey-Long Island, NY-NJ-PA                                                                        .   .   9,466,113   9,363,623   9,174,471   8,922,073   544,040     502,260    396,484    5.3      4.9      4.4       5,763     809,309
  Edison-New Brunswick, NJ. . . . . . . . . . . . . . . . . . . .                                                         .   .   1,200,511   1,192,738   1,167,598   1,117,691    82,820      60,519     36,501    5.0      4.2      3.3         869      54,306
  Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . .                                                     .   .   1,497,939   1,488,745   1,469,692   1,413,900    84,039      72,948     47,601    4.9      4.2      3.4         938      83,483
  Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . .                                                       .   .   1,097,892   1,088,823   1,078,269   1,060,497    37,395      59,526     38,268    5.4      4.5      3.6         871      50,439
  New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . .                                                              .   .   5,669,771   5,593,317   5,458,912   5,329,985   339,786     309,267    274,114    5.5      5.3      5.1       3,085     621,081
Niles-Benton Harbor, MI .         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .     80,131      80,035      79,036      82,529     –2,398       6,487      3,105    8.1      6.8      3.8          64       1,936
Norwich-New London, CT            .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    149,507     147,088     145,080     131,618     17,889       8,213      2,921    5.5      4.5      2.2          92       3,888
Ocala, FL . . . . . . . . . . .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    139,067     136,287     125,779     109,216     29,851      10,765      4,412    7.7      3.8      4.0          96       4,615
Ocean City, NJ . . . . . . .      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .     57,363      56,722      58,014      55,540      1,823       4,582      3,561    8.0      6.6      6.4          63       2,433
Odessa, TX . . . . . . . . .      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .     70,723      66,847      62,544      56,486     14,237       2,421      3,057    3.4      4.5      5.4          33       1,877
Ogden-Clearfield, UT . . .        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    265,566     260,875     249,385     222,975     42,591       9,592      8,094    3.6      4.3      3.6          97      14,776

Oklahoma City, OK . . . . . . .               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   565,788   564,402   573,329          552,592     13,196      21,506     15,085    3.8      4.4      2.7         409      22,557
Olympia, WA. . . . . . . . . . . .            .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   132,117   127,437   121,493          108,262     23,855       6,649      4,941    5.0      5.1      4.6          72       3,081
Omaha-Council Bluffs, NE-IA .                 .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   456,496   449,256   441,369          426,202     30,294      16,698     11,848    3.7      4.3      2.8         331      17,056
Orlando-Kissimmee, FL. . . . .                .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 1,119,897 1,091,645 1,007,712          895,172    224,725      65,936     27,987    5.9      3.5      3.1         618      32,117
Oshkosh-Neenah, WI . . . . . .                .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    94,198    93,945    91,506           89,983      4,215       4,020      2,445    4.3      4.5      2.7          44       1,829
Owensboro, KY . . . . . . . . . .             .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    56,442    55,992    54,941           55,550        892       3,310      2,440    5.9      6.1      4.4          57       1,969

Oxnard-Thousand Oaks-Ventura, CA.                                 .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    432,489     427,499     418,245     392,665     39,824      27,313     17,745    6.3      4.8      4.5         176      13,384
Palm Bay-Melbourne-Titusville, FL . .                             .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    267,795     263,940     256,171     232,007     35,788      17,527      8,420    6.5      3.6      3.6         145       7,189
Palm Coast, FL . . . . . . . . . . . . . . .                      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .     31,576      30,698      29,494      21,008     10,568       3,042        753    9.6      4.3      3.6          23       1,384
Panama City-Lynn Haven, FL . . . . .                              .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .     88,608      86,170      81,029      71,998     16,610       4,856      3,340    5.5      3.5      4.6          68       2,393
Parkersburg-Marietta-Vienna, WV-OH                                .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .     79,324      80,004      79,546      79,392        –68       4,029      4,001    5.1      5.6      5.0          68       2,734
Pascagoula, MS . . . . . . . . . . . . . .                        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .     71,394      68,884      71,202      71,910      –516        4,455      4,469    6.2     10.0      6.2          48       1,867
Pensacola-Ferry Pass-Brent, FL . . . .                            .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    209,720     209,037     199,733     187,472     22,248      12,114      7,442    5.8      3.8      4.0         119       5,087

Peoria, IL . . . . . . . . . . . . . . . . . .                ...........                                 .   .   .   .   .   .   205,129   203,058   191,311   187,201            17,928      11,621      8,022    5.7      4.9      4.3         169       5,856
Philadelphia-Camden-Wilmington,                               PA-NJ-DE-MD .                               .   .   .   .   .   . 2,986,204 2,948,324 2,919,621 2,846,067           140,137     159,868    110,321    5.4      4.7      3.9       1,989     277,051
  Camden, NJ . . . . . . . . . . . . . .                      ...........                                 .   .   .   .   .   .   661,039   657,109   652,253   610,472            50,567      36,601     21,548    5.5      4.4      3.5         367      22,627
  Philadelphia, PA . . . . . . . . . . . .                    ...........                                 .   .   .   .   .   . 1,966,745 1,934,280 1,915,447 1,885,606            81,139     105,582     77,226    5.4      4.9      4.1       1,394     104,150
  Wilmington, DE-MD-NJ . . . . . . .                          ...........                                 .   .   .   .   .   .   358,420   356,935   351,921   349,989             8,431      17,685     11,547    4.9      4.4      3.3         228     150,274
Phoenix-Mesa-Scottsdale, AZ . . . .                           ...........                                 .   .   .   .   .   . 2,114,724 2,057,416 1,931,788 1,664,777           449,947     103,732     55,718    4.9      4.1      3.3         937      56,166
Pine Bluff, AR . . . . . . . . . . . . . . . . . .                        .   .   .   .   .   .   .   .   .   .   .   .   .   .    44,195    44,497    46,170    44,884             –689        3,133      2,557    7.1      7.2      5.7          36       1,117
Pittsburgh, PA . . . . . . . . . . . . . . . . . .                        .   .   .   .   .   .   .   .   .   .   .   .   .   . 1,217,956 1,199,171 1,196,089 1,191,585            26,371      62,569     52,065    5.1      5.2      4.4         891      70,874
Pittsfield, MA. . . . . . . . . . . . . . . . . . .                       .   .   .   .   .   .   .   .   .   .   .   .   .   .    72,153    72,603    72,501    70,160             1,993       3,680      2,068    5.1      4.4      2.9          63       2,868
Pocatello, ID . . . . . . . . . . . . . . . . . . .                       .   .   .   .   .   .   .   .   .   .   .   .   .   .    43,928    44,570    43,679    41,979             1,949       1,972      1,956    4.5      3.6      4.7          30         626
Portland-South Portland-Biddeford, ME .                                   .   .   .   .   .   .   .   .   .   .   .   .   .   .   291,539   289,930   284,779   270,116            21,423      12,813      6,753    4.4      3.9      2.5         190       8,207
Portland-Vancouver-Beaverton, OR-WA .                                     .   .   .   .   .   .   .   .   .   .   .   .   .   . 1,171,269 1,144,812 1,100,958 1,075,854            95,415      68,323     47,711    5.8      5.8      4.4         560      29,583
Port St. Lucie, FL. . . . . . . . . . . . . . . . . .                             .   .   .   .   .   .   .   .   .   .   .   .    187,758     187,482     174,770     143,812     43,946      15,240      7,361    8.1      4.5      5.1         138       7,896
Poughkeepsie-Newburgh-Middletown, NY .                                            .   .   .   .   .   .   .   .   .   .   .   .    327,766     326,058     325,127     301,587     26,179      17,449      9,901    5.3      4.1      3.3         219       8,798
Prescott, AZ . . . . . . . . . . . . . . . . . . . . .                            .   .   .   .   .   .   .   .   .   .   .   .     98,390      97,767      90,975      75,543     22,847       5,506      2,947    5.6      4.4      3.9          59       2,927
Providence-New Bedford-Fall River, RI-MA.                                         .   .   .   .   .   .   .   .   .   .   .   .    854,958     861,572     849,598     821,474     33,484      64,487     33,089    7.5      5.4      4.0         409      36,946
Provo-Orem, UT . . . . . . . . . . . . . . . . . .                                .   .   .   .   .   .   .   .   .   .   .   .    229,186     226,798     210,298     183,907     45,279       7,518      5,429    3.3      4.0      3.0          93       3,412
Pueblo, CO. . . . . . . . . . . . . . . . . . . . . .                             .   .   .   .   .   .   .   .   .   .   .   .     73,712      72,421      69,809      64,099      9,613       4,557      2,515    6.2      7.0      3.9          46       1,441

     See footnotes at end of table.




182                                                                                                                                                                                                State and Metropolitan Area Data Book: 2010
                                                                                                                                                                                                                                            U.S. Census Bureau
Table B–13. Metropolitan Areas — Civilian Labor Force and Banking—Con.

                                                                                                                                                                                   Civilian labor force                                          Banking,
                                                                                                                                                                                                                                                  20082

                    Metropolitan statistical area
                   Metropolitan statistical area                                                                                                               Total                               Number of          Unemployment
                                                                                                                                                                                                  unemployed              rate1
                   with metropolitan divisions
                       Metropolitan division
                                                                                                                                                                                   Change,                                                  Number
                                                                                                                                                                                    2000–                                                         of    Deposits
                                                                                                                                             2008      2007      2005      2000      2008         2008     2000    2008    2005      2000    offices   (mil. dol.)


Punta Gorda, FL .      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    70,038    69,376    64,987    55,163    14,875       5,683     2,043    8.1      4.0      3.7        68       3,117
Racine, WI . . . . .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   100,148   100,627    98,874    99,858       290       5,577     3,882    5.6      6.0      3.9        71       3,375
Raleigh-Cary, NC.      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   558,035   542,764   502,964   454,465   103,570      27,401    11,536    4.9      4.2      2.5       291      16,552
Rapid City, SD . .     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    67,407    66,757    65,305    61,102     6,305       1,982     1,522    2.9      3.5      2.5        38       1,733
Reading, PA . . . .    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   204,501   201,599   198,591   194,605     9,896      11,018     7,673    5.4      4.9      3.9       146       8,549
Redding, CA . . . .    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    83,707    83,402    82,213    74,838     8,869       8,459     4,535   10.1      7.3      6.1        49       2,141

Reno-Sparks, NV. . . . . . . . . . . . . . .                                   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   227,751   223,507   210,976   196,686    31,065      15,421     7,286    6.8      4.3      3.7        95      26,730
Richmond, VA . . . . . . . . . . . . . . . . .                                 .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   649,993   644,181   621,765   564,833    85,160      27,740    11,635    4.3      3.7      2.1       375      44,223
Riverside-San Bernardino-Ontario, CA .                                         .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 1,795,177 1,782,735 1,713,513 1,420,114   375,063     148,865    71,917    8.3      5.3      5.1       597      37,360
Roanoke, VA. . . . . . . . . . . . . . . . . .                                 .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   157,243   156,190   150,901   148,145     9,098       6,260     3,241    4.0      3.4      2.2       133       5,717
Rochester, MN . . . . . . . . . . . . . . . .                                  .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   103,596   103,343   102,037    95,141     8,455       4,735     2,580    4.6      3.7      2.7        75       3,618
Rochester, NY. . . . . . . . . . . . . . . . .                                 .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   535,202   530,710   535,905   534,458       744      30,101    19,328    5.6      4.7      3.6       273      12,305

Rockford, IL . . . . . . . . . . . . . . . . . . . . . .                                       .   .   .   .   .   .   .   .   .   .   .   176,423   175,909   165,369   168,515     7,908      15,978     7,832    9.1      6.7      4.6       104       5,908
Rocky Mount, NC . . . . . . . . . . . . . . . . . .                                            .   .   .   .   .   .   .   .   .   .   .    71,102    70,512    68,728    68,555     2,547       6,187     3,476    8.7      6.9      5.1        50       1,844
Rome, GA . . . . . . . . . . . . . . . . . . . . . . .                                         .   .   .   .   .   .   .   .   .   .   .    49,822    49,608    50,440    44,900     4,922       3,255     1,690    6.5      5.0      3.8        28       1,380
Sacramento—Arden-Arcade—Roseville, CA .                                                        .   .   .   .   .   .   .   .   .   .   . 1,058,505 1,047,031 1,017,557   909,228   149,277      74,888    38,869    7.1      4.9      4.3       443      29,944
Saginaw-Saginaw Township North, MI . . . . .                                                   .   .   .   .   .   .   .   .   .   .   .    94,717    97,379    98,306   100,214    –5,497       8,177     4,082    8.6      7.9      4.1        72       1,932
St. Cloud, MN . . . . . . . . . . . . . . . . . . . . .                                        .   .   .   .   .   .   .   .   .   .   .   107,167   106,321   102,809    98,795     8,372       6,065     3,115    5.7      4.5      3.2        70       3,179
St. George, UT . . .       .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    62,495    63,391    57,283    39,148    23,347       2,856     1,377    4.6      4.1      3.5        39       1,564
St. Joseph, MO-KS          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    67,538    67,966    64,581    60,474     7,064       3,472     2,103    5.1      5.7      3.5        60       1,944
St. Louis, MO-IL4 . .      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 1,440,344 1,444,527 1,432,048 1,423,748    16,596      94,785    50,520    6.6      5.6      3.5       946      57,829
Salem, OR . . . . . .      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   194,666   190,511   185,057   177,751    16,915      12,215     9,591    6.3      6.3      5.4        98       3,931
Salinas, CA . . . . .      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   214,468   207,592   207,720   203,188    11,280      18,161    14,942    8.5      7.3      7.4        90       6,537
Salisbury, MD . . . .      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    63,802    63,689    63,298    56,838     6,964       3,552     2,587    5.6      4.6      4.6        56       1,674

Salt Lake City, UT . . . . . . . . . . . . .                               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   614,158   598,230   567,441   522,137    92,021      20,301    16,683    3.3      4.1      3.2       284     205,877
San Angelo, TX . . . . . . . . . . . . . . .                               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    52,780    52,840    53,019    51,564     1,216       2,173     2,026    4.1      4.3      3.9        35       1,419
San Antonio, TX . . . . . . . . . . . . . .                                .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   946,209   926,073   898,469   817,912   128,297      44,108    32,691    4.7      5.0      4.0       461      46,797
San Diego-Carlsbad-San Marcos, CA                                          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 1,566,223 1,531,234 1,497,942 1,376,008   190,215      93,805    53,764    6.0      4.3      3.9       620      47,797
Sandusky, OH . . . . . . . . . . . . . . . .                               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    43,085    42,556    42,704    42,168       917       3,139     1,788    7.3      6.3      4.2        27         944
San Francisco-Oakland-Fremont, CA . . . . . .                                                          .   .   .   .   .   .   .   .   . 2,267,628 2,216,471 2,158,676 2,282,740   –15,112     128,377    77,007    5.7      4.8      3.4     1,048     181,315
  Oakland-Fremont-Hayward, CA. . . . . . . . . .                                                       .   .   .   .   .   .   .   .   . 1,295,680 1,272,715 1,250,994 1,270,001    25,679      80,151    45,473    6.2      5.0      3.6       530      55,401
  San Francisco-San Mateo-Redwood City, CA                                                             .   .   .   .   .   .   .   .   .   971,948   943,756   907,682 1,012,739   –40,791      48,226    31,534    5.0      4.6      3.1       518     125,914
San Jose-Sunnyvale-Santa Clara, CA . . . . . . .                                                       .   .   .   .   .   .   .   .   .   905,239   876,529   844,524   968,181   –62,942      55,118    30,803    6.1      5.4      3.2       362      51,876
San Luis Obispo-Paso Robles, CA . . . . . . . . .                                                      .   .   .   .   .   .   .   .   .   138,120   135,429   132,197   122,463    15,657       7,878     4,933    5.7      4.3      4.0        79       4,564
Santa Barbara-Santa Maria-Goleta, CA . . . . . .                                                       .   .   .   .   .   .   .   .   .   221,182   215,706   214,365   202,387    18,795      11,986     8,823    5.4      4.4      4.4       105       9,041

Santa Cruz-Watsonville, CA.                        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   148,392   146,222   143,787   148,350        42      10,887     7,569    7.3      6.3      5.1        54       4,108
Santa Fe, NM . . . . . . . . . .                   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    79,406    78,908    76,518    70,763     8,643       2,776     2,568    3.5      4.1      3.6        43       2,132
Santa Rosa-Petaluma, CA. .                         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   263,441   260,012   254,796   253,260    10,181      15,094     8,505    5.7      4.5      3.4       130       9,783
Savannah, GA . . . . . . . . .                     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   179,633   178,134   166,480   142,860    36,773       9,720     4,905    5.4      4.3      3.4       117       5,384
Scranton—Wilkes-Barre, PA                          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   282,449   278,393   276,855   272,967     9,482      17,400    13,401    6.2      5.6      4.9       233      10,189

Seattle-Tacoma-Bellevue, WA                                .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 1,855,602 1,816,854 1,728,831 1,647,399   208,203      88,355    71,386    4.8      5.0      4.3       927      72,405
  Seattle-Bellevue-Everett, WA                             .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 1,460,560 1,432,397 1,361,216 1,307,433   153,127      65,848    54,416    4.5      4.8      4.2       720      63,769
  Tacoma, WA . . . . . . . . . . .                         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   395,042   384,457   367,615   339,966    55,076      22,507    16,970    5.7      5.9      5.0       207       8,636
Sebastian-Vero Beach, FL . . . .                           .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    62,237    62,265    58,490    51,057    11,180       5,058     2,604    8.1      4.7      5.1        61       3,622
Sheboygan, WI . . . . . . . . . . .                        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    65,891    66,337    64,772    64,613     1,278       2,870     1,602    4.4      4.0      2.5        47       1,707
Sherman-Denison, TX . . . . . .                            .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    55,816    55,439    56,653    56,260     –444        2,945     2,290    5.3      5.4      4.1        44       1,672
Shreveport-Bossier City, LA . . .                          .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   186,354   182,424   181,018   172,577    13,777       9,669     8,259    5.2      5.5      4.8       112       4,896

Sioux City, IA-NE-SD . .               .....               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    78,842    77,547    74,598    77,273     1,569       2,966     2,150    3.8      4.7      2.8        74       2,506
Sioux Falls, SD . . . . . .            .....               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   129,523   127,585   120,541   111,199    18,324       3,529     2,331    2.7      3.2      2.1       139      63,090
South Bend-Mishawaka,                  IN-MI .             .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   159,678   160,664   161,593   162,038    –2,360      10,635     5,017    6.7      5.2      3.1        88       3,930
Spartanburg, SC . . . . .              .....               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   137,651   134,028   131,601   130,780     6,871       9,472     4,552    6.9      7.5      3.5        79       3,713
Spokane, WA . . . . . . .              .....               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   239,149   232,444   223,224   211,201    27,948      13,417    10,922    5.6      5.7      5.2       130       7,149
Springfield, IL . . . . . . .          .....               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   115,331   114,838   112,244   112,377     2,954       6,780     4,162    5.9      4.7      3.7        95       4,307
Springfield, MA . .    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   349,230   349,984   350,768   344,243     4,987      19,854    10,189    5.7      5.2      3.0       234       11,618
Springfield, MO . .    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   216,105   219,446   211,547   198,896    17,209      11,171     5,657    5.2      4.3      2.8       195        7,785
Springfield, OH . .    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    71,195    71,169    70,302    72,387    –1,192       4,761     3,124    6.7      6.2      4.3        39        1,481
State College, PA      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    74,800    73,171    72,345    68,414     6,386       3,211     2,373    4.3      4.0      3.5        69        1,911
Stockton, CA . . .     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   297,175   291,655   285,213   258,920    38,255      31,045    17,997   10.4      7.9      7.0       121        7,205
Sumter, SC. . . . .    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    43,132    44,591    46,415    45,139    –2,007       3,712     1,876    8.6      8.5      4.2        18          801
Syracuse, NY . . . . . . . . . . . . . . . .                               .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   332,163   329,240   330,605   324,760     7,403      18,803    12,233    5.7      4.9      3.8       190        9,156
Tallahassee, FL . . . . . . . . . . . . . . .                              .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   190,411   186,280   176,427   172,551    17,860       8,744     5,504    4.6      3.2      3.2       111        5,099
Tampa-St. Petersburg-Clearwater, FL                                        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   . 1,323,990 1,303,634 1,257,963 1,200,045   123,945      86,527    40,394    6.5      3.9      3.4       824       54,112
Terre Haute, IN . . . . . . . . . . . . . . .                              .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    79,494    80,138    80,477    81,386    –1,892       5,310     3,334    6.7      6.8      4.1        61        2,324
Texarkana, TX-Texarkana, AR . . . . .                                      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    63,832    62,755    61,918    58,608     5,224       2,966     2,813    4.6      5.2      4.8        53        1,783
Toledo, OH . . . . . . . . . . . . . . . . . .                             .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   336,308   337,877   336,473   337,749    –1,441      26,929    14,567    8.0      6.5      4.3       216        9,851

Topeka, KS. . . . . .      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   121,974   120,237   123,745   120,404     1,570       5,966     4,920    4.9      5.5      4.1       127       5,113
Trenton-Ewing, NJ .        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   200,226   197,268   194,770   180,174    20,052       9,756     5,867    4.9      3.9      3.3       147      21,706
Tucson, AZ . . . . . .     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   478,687   459,272   439,363   408,961    69,726      24,565    15,245    5.1      4.4      3.7       194      11,214
Tulsa, OK. . . . . . .     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   437,546   441,602   442,396   440,318    –2,772      16,761    12,940    3.8      4.4      2.9       305      16,794
Tuscaloosa, AL . . .       .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    98,729    99,328    94,423    93,105     5,624       4,409     3,458    4.5      3.4      3.7        60       2,691
Tyler, TX . . . . . . .    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    98,942    97,099    95,759    86,261    12,681       4,902     3,832    5.0      5.0      4.4        76       3,369

     See footnotes at end of table.




State and Metropolitan Area Data Book: 2010                                                                                                                                                                                                                 183
U.S. Census Bureau
Table B–13. Metropolitan Areas — Civilian Labor Force and Banking—Con.

                                                                                                                                                                                 Civilian labor force                                             Banking,
                                                                                                                                                                                                                                                   20082

                    Metropolitan statistical area
                   Metropolitan statistical area                                                                                                             Total                               Number of          Unemployment
                                                                                                                                                                                                unemployed              rate1
                   with metropolitan divisions
                       Metropolitan division
                                                                                                                                                                                 Change,                                                     Number
                                                                                                                                                                                  2000–                                                            of    Deposits
                                                                                                                                           2008      2007      2005      2000      2008         2008     2000    2008    2005      2000       offices   (mil. dol.)


Utica-Rome, NY . . . . . . . . . .                       .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   142,194   141,471   143,152   142,815     –621        8,020     5,648    5.6      4.9       4.0          85         3,724
Valdosta, GA. . . . . . . . . . . . .                    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    69,495    68,152    65,238    56,449    13,046       3,752     2,486    5.4      3.9       4.4          44         2,232
Vallejo-Fairfield, CA . . . . . . . .                    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   213,476   210,377   209,644   194,209    19,267      14,748     8,994    6.9      5.4       4.6          66         3,193
Victoria, TX. . . . . . . . . . . . . .                  .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    58,205    57,342    56,881    55,698     2,507       2,343     2,182    4.0      4.7       3.9          33         1,947
Vineland-Millville-Bridgeton, NJ.                        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    69,292    68,485    70,039    65,539     3,753       5,566     3,795    8.0      6.3       5.8          46         2,144
Virginia Beach-Norfolk-Newport News, VA-NC. . . . .                                                              .   .   .   .   .   .   824,821   819,049   798,613   721,983   102,838      34,949    18,159    4.2      3.9       2.5         380      18,642
Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . .                                                .   .   .   .   .   .   201,658   193,564   184,373   171,834    29,824      21,860    17,834   10.8      9.5      10.4          69       3,603
Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . .                                               .   .   .   .   .   .   111,016   110,699   112,471   103,656     7,360       5,081     4,332    4.6      5.0       4.2          55       3,121
Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . .                                                    .   .   .   .   .   .    69,321    68,064    62,975    53,848    15,473       3,588     1,802    5.2      4.7       3.3          30       1,368
Washington-Arlington-Alexandria, DC-VA-MD-WV                                                                     .   .   .   .   .   . 3,027,700 2,992,501 2,900,991 2,670,068   357,632     113,802    72,819    3.8      3.4       2.7       1,719     160,372
   Bethesda-Frederick-Gaithersburg, MD . . . . . . . .                                                           .   .   .   .   .   .   638,554   637,118   626,345   598,962    39,592      20,957    15,836    3.3      3.1       2.6         407      27,050
   Washington-Arlington-Alexandria, DC-VA-MD-WV.                                                                 .   .   .   .   .   . 2,389,146 2,355,383 2,274,646 2,071,106   318,040      92,845    56,983    3.9      3.5       2.8       1,312     133,322

Waterloo-Cedar Falls, IA . . . .                     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    94,297    93,543    92,124    88,337     5,960       3,702     2,518    3.9      4.2       2.9          69         2,292
Wausau, WI . . . . . . . . . . . .                   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    75,249    76,205    74,623    72,351     2,898       3,321     2,355    4.4      4.2       3.3          63         2,517
Weirton-Steubenville, WV-OH.                         .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    58,487    57,331    57,618    59,245      –758       3,788     3,079    6.5      7.3       5.2          50         1,757
Wenatchee, WA . . . . . . . . .                      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    62,118    61,217    59,163    54,536     7,582       3,395     3,456    5.5      5.7       6.3          38         1,769
Wheeling, WV-OH . . . . . . . .                      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    69,093    68,833    68,715    69,391      –298       3,624     3,803    5.2      5.7       5.5          70         2,626
Wichita, KS. . . . . . . . . . . . .                 .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   319,590   313,297   307,798   299,138    20,452      13,513    12,534    4.2      5.5       4.2         244         9,666
Wichita Falls, TX . .    .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    72,808    73,338    74,567    71,647     1,161       3,502     3,208    4.8      4.5       4.5          53       2,055
Williamsport, PA . .     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    60,012    58,896    59,260    59,251       761       3,574     2,574    6.0      5.4       4.3          55       1,611
Wilmington, NC . . .     .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   178,819   175,450   163,362   142,532    36,287      10,329     5,640    5.8      4.5       4.0         139       5,853
Winchester, VA-WV        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    64,766    65,600    62,030    54,907     9,859       2,814     1,250    4.3      3.0       2.3          57       2,136
Winston-Salem, NC        .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   239,639   236,569   232,067   223,086    16,553      14,127     7,516    5.9      4.7       3.4         142      15,736
Worcester, MA . . .      .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .   399,455   400,009   397,667   387,940    11,515      22,971    10,753    5.8      5.2       2.8         239      10,060

Yakima, WA . . . . . . . . . . . . .                     ......                  .   .   .   .   .   .   .   .   .   .   .   .   .   .   122,970   118,809   116,959   113,000     9,970       8,471     8,612    6.9      7.4       7.6          56         2,206
York-Hanover, PA . . . . . . . . .                       ......                  .   .   .   .   .   .   .   .   .   .   .   .   .   .   227,855   223,805   218,782   208,916    18,939      10,979     6,958    4.8      4.2       3.3         156         5,809
Youngstown-Warren-Boardman,                              OH-PA .                 .   .   .   .   .   .   .   .   .   .   .   .   .   .   277,552   277,825   280,449   284,494    –6,942      20,161    14,340    7.3      6.7       5.0         207         8,543
Yuba City, CA . . . . . . . . . . . .                    ......                  .   .   .   .   .   .   .   .   .   .   .   .   .   .    70,100    69,044    66,067    62,152     7,948       8,526     5,482   12.2      9.5       8.8          29         1,539
Yuma, AZ . . . . . . . . . . . . . . .                   ......                  .   .   .   .   .   .   .   .   .   .   .   .   .   .    84,090    78,858    75,666    64,311    19,779      14,407    10,616   17.1     15.8      16.5          30         1,325


     X Not applicable.               NA Not available.
     1
     Civilian unemployed as percent of total civilian labor force.
     2
     As of June 30. Covers all FDIC-insured commercial banks and savings institutions and does not include U.S. branches of foreign banks.
     3
     The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld counties on November 15,
2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield city is treated as if it were a county when
data are available to do so. In many cases, the data will not be available.
    4
     The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA.

     Note: Covers metropolitan statistical areas and metropolitan divisions as defined by the Office of Management and Budget as of November 2007. For information, see OMB Bulletin 08-01 at
<http://www.whitehouse.gov/omb/assets/omb/bulletins/fy2008/b08-01.pdf>.

    Survey, Census, or Data Collection Method: Civilian labor force—Based on the Current Population Survey (CPS), the Current Employment Statistics (CES) survey, and the unemployment insur-
ance (UI) system; for information, see <http://www.bls.gov/lau/laumthd.htm>. Banking—Based on surveys on every FDIC-insured bank and savings association as of June 30 each year conducted by
the Federal Deposit Insurance Corporation (FDIC) and the Office of Thrift Supervision (OTS); for information, see Internet site <http://www2.fdic.gov/sod/sodPublications.asp?barItem=5>.

    Sources: Civilian labor force—U.S. Bureau of Labor Statistics, Local Area Unemployment, Annual Averages (related Internet site <http://www.bls.gov/lau/>).                                                               Banking—U.S. Federal Deposit
Insurance Corporation (FDIC) and Office of Thrift Supervision (OTS) released October 8, 2008 (related Internet site <http://www2.fdic.gov/sod/index.asp>).




184                                                                                                                                                                                               State and Metropolitan Area Data Book: 2010
                                                                                                                                                                                                                                           U.S. Census Bureau