Table B–1. Metropolitan Areas — Area and Population · 108 State and Metropolitan Area Data...

State and Metropolitan Area Data Book: 2010 107U.S. Census Bureau

Table B–1. Metropolitan Areas — Area and Population

Metropolitan statistical areaMetropolitan statistical areawith metropolitan divisions

Metropolitan division

Area, 2000(square miles) Population

Total Land2008

(July 1)2005

(July 1)

20001

(estimatesbase)

19902

(April 1)

Rank People per square mileof land area3

2008 2000 1990 2008 2000 1990

Abilene, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,757.6 2,745.2 159,521 158,681 160,241 148,004 244 230 222 58.1 58.4 53.9Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 927.2 905.1 698,553 700,403 694,962 657,575 72 67 65 771.8 767.8 726.5Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,958.0 1,933.7 164,919 161,912 157,868 146,583 235 233 226 85.3 81.6 75.8Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . . . 2,878.3 2,817.4 853,919 846,361 825,873 809,642 57 56 52 303.1 293.1 287.4Albuquerque, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,297.0 9,287.8 845,913 797,146 729,648 599,416 59 65 70 91.1 78.6 64.5Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,026.5 1,967.7 153,105 147,050 145,035 149,082 252 252 221 77.8 73.7 75.8

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . . . 1,475.7 1,459.4 808,210 784,814 740,402 686,688 62 64 58 553.8 507.3 470.5Altoona, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 527.1 525.8 125,174 125,882 129,144 130,542 297 276 254 238.1 245.6 248.3Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,682.3 3,660.5 243,838 237,644 226,522 196,111 182 179 176 66.6 61.9 53.6Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 573.7 572.9 86,754 81,852 79,981 74,252 354 355 351 151.4 139.6 129.6Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,220.9 26,378.8 364,701 351,128 319,606 266,021 137 143 149 13.8 12.1 10.1Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452.9 452.1 131,501 130,603 133,358 130,669 289 268 253 290.8 295.0 289.0

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 757.5 718.0 182,825 174,232 165,738 145,177 223 224 228 254.6 230.8 202.2Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 722.5 709.9 347,376 344,025 322,770 282,937 143 140 139 489.3 454.6 398.5Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 612.3 608.5 113,419 111,953 112,243 116,032 318 305 274 186.4 184.5 190.7Appleton, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,041.4 960.2 219,720 214,120 201,720 174,801 195 191 197 228.8 210.1 182.1Asheville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,041.1 2,033.1 408,436 390,789 369,170 307,999 118 124 128 200.9 181.6 151.5Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . 1,035.2 1,031.5 189,264 178,844 166,075 136,025 218 223 241 183.5 161.0 131.9

Atlanta-Sandy Springs-Marietta, GA . . . . . . . . . . . . . . . . . 8,480.3 8,376.5 5,376,285 4,945,773 4,248,014 3,068,975 8 11 12 641.8 507.1 366.4Atlantic City-Hammonton, NJ . . . . . . . . . . . . . . . . . . . . . . 671.5 561.1 270,681 268,120 252,552 224,327 165 165 165 482.4 450.1 399.8Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 615.6 608.7 133,010 125,132 115,124 87,146 285 297 335 218.5 189.1 143.2Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . . . 3,324.5 3,278.8 534,218 517,079 499,656 435,799 95 89 88 162.9 152.4 132.9Austin-Round Rock, TX. . . . . . . . . . . . . . . . . . . . . . . . . . 4,279.9 4,224.0 1,652,602 1,464,563 1,249,747 846,227 36 40 48 391.2 295.9 200.3Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,161.4 8,141.0 800,458 748,766 661,653 544,981 63 70 75 98.3 81.3 66.9

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . . . 3,104.5 2,609.1 2,667,117 2,646,991 2,553,000 2,382,172 20 19 19 1,022.3 978.5 913.0Bangor, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,556.1 3,395.7 148,651 146,902 144,919 146,601 260 253 225 43.8 42.7 43.2Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,305.6 395.5 221,049 224,913 222,232 186,605 193 184 186 558.9 561.9 471.8Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,214.6 4,029.9 774,327 729,366 705,902 623,850 67 66 68 192.1 175.2 154.8Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 718.4 708.7 135,861 138,060 137,985 135,982 279 265 242 191.7 194.7 191.9Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 630.9 444.3 107,495 108,531 110,157 111,723 329 310 279 242.0 248.0 251.5

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . . . 2,388.2 2,154.3 378,255 380,319 385,090 361,218 132 117 109 175.6 178.8 167.7Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,503.6 2,119.5 196,529 185,180 166,828 127,780 210 222 256 92.7 78.7 60.3Bend, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,054.8 3,018.2 158,456 140,942 115,367 74,976 247 296 350 52.5 38.2 24.8Billings, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,711.2 4,683.1 152,005 146,193 138,902 121,499 255 264 264 32.5 29.7 25.9Binghamton, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,238.4 1,225.5 245,189 246,835 252,323 264,497 180 166 150 200.1 205.9 215.8Birmingham-Hoover, AL . . . . . . . . . . . . . . . . . . . . . . . . . 5,369.8 5,298.0 1,117,608 1,088,303 1,051,301 956,646 48 48 45 210.9 198.4 180.6

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,613.3 3,559.4 104,944 99,388 94,733 83,831 334 342 338 29.5 26.6 23.6Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . . . 1,089.6 1,075.9 158,328 154,416 151,324 140,715 248 242 234 147.2 140.6 130.8Bloomington, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,345.1 1,321.3 183,944 179,954 175,507 156,669 221 211 210 139.2 132.8 118.6Bloomington-Normal, IL. . . . . . . . . . . . . . . . . . . . . . . . . . 1,186.3 1,183.5 165,298 159,349 150,433 129,180 233 244 255 139.7 127.1 109.1Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,833.1 11,787.7 599,753 543,918 464,840 319,596 85 97 125 50.9 39.4 27.1

Boston-Cambridge-Quincy, MA-NH . . . . . . . . . . . . . . . . 4,511.5 3,506.8 4,522,858 4,454,959 4,392,345 4,133,895 10 10 6 1,289.7 1,252.5 1,178.8Boston-Quincy, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,657.5 1,119.0 1,884,659 1,850,525 1,812,937 1,715,269 (X) (X) (X) 1,684.3 1,620.2 1,532.9Cambridge-Newton-Framingham, MA. . . . . . . . . . . . . . . 847.5 823.5 1,482,478 1,462,024 1,466,396 1,398,468 (X) (X) (X) 1,800.3 1,780.8 1,698.3Peabody, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 828.5 500.7 736,457 730,552 723,421 670,080 (X) (X) (X) 1,470.9 1,444.9 1,338.4Rockingham County-Strafford County, NH. . . . . . . . . . . . 1,177.9 1,063.7 419,264 411,858 389,591 350,078 (X) (X) (X) 394.1 366.3 329.1

Boulder, CO4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 751.4 742.5 293,161 282,115 269,773 225,339 157 159 164 394.9 363.4 303.5

Bowling Green, KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 855.7 847.8 117,947 111,360 104,168 88,077 310 324 333 139.1 122.9 103.9Bradenton-Sarasota-Venice, FL . . . . . . . . . . . . . . . . . . . . 1,617.9 1,312.6 687,823 667,574 589,966 489,483 74 79 82 524.0 449.5 372.9Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . . . 566.0 396.0 239,769 236,024 231,966 189,731 183 177 180 605.5 585.8 479.2Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . . . 837.0 625.8 895,030 891,838 882,567 827,645 56 51 51 1,430.2 1,410.3 1,322.5Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . . . 1,276.3 905.8 392,736 371,492 335,227 260,120 128 137 151 433.6 370.1 287.2Brunswick, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,607.1 1,300.2 102,850 97,553 93,044 82,207 337 343 339 79.1 71.6 63.2

Buffalo-Niagara Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . 2,366.7 1,567.2 1,124,309 1,140,309 1,170,109 1,189,340 47 42 37 717.4 746.6 758.9Burlington, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 434.8 430.0 148,053 139,480 130,800 108,213 262 272 288 344.3 304.2 251.7Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . . . 1,506.3 1,258.7 208,460 205,348 198,892 177,059 197 193 193 165.6 158.0 140.7Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . 979.9 970.8 407,653 407,555 406,968 394,106 120 110 98 419.9 419.2 406.0Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . . . . . . . 1,211.9 803.6 593,136 541,159 440,888 335,113 86 103 122 738.1 548.6 417.0Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.7 143.4 54,867 55,566 52,457 40,443 363 362 362 382.7 365.9 282.1

Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,375.7 5,339.9 73,129 69,408 66,533 61,226 360 360 358 13.7 12.5 11.5Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,019.7 2,009.1 255,452 247,151 237,230 210,640 175 174 168 127.1 118.1 104.8Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . . . 1,924.3 1,922.7 224,191 218,494 210,279 202,848 192 187 174 116.6 109.4 105.5Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,547.0 2,532.1 303,944 304,477 309,635 307,689 152 147 129 120.0 122.3 121.5Charleston-North Charleston-Summerville, SC . . . . . . . . . . 3,162.9 2,591.0 644,506 601,162 548,972 506,877 80 85 81 248.8 211.9 195.6Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . . . 3,147.2 3,098.3 1,701,799 1,518,488 1,330,525 1,024,690 34 37 42 549.3 429.4 330.7

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,657.9 1,649.2 194,391 187,655 174,021 144,151 214 215 229 117.9 105.5 87.4Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,137.9 2,089.4 518,441 502,295 476,512 433,210 98 94 89 248.1 228.1 207.3Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,687.6 2,686.1 87,542 85,304 81,607 73,142 353 353 353 32.6 30.4 27.2Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . . . 9,579.2 7,212.0 9,569,624 9,390,691 9,098,629 8,182,076 3 3 3 1,326.9 1,261.6 1,134.5

Chicago-Naperville-Joliet, IL . . . . . . . . . . . . . . . . . . . . . 5,344.3 4,614.8 7,990,248 7,847,302 7,628,495 6,894,440 (X) (X) (X) 1,731.4 1,653.0 1,494.0Gary, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,112.7 1,876.8 702,458 688,848 675,968 643,037 (X) (X) (X) 374.3 360.2 342.6Lake County-Kenosha County, IL-WI . . . . . . . . . . . . . . . 2,122.3 720.4 876,918 854,541 794,166 644,599 (X) (X) (X) 1,217.3 1,102.4 894.8

See footnotes at end of table.

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

Table B–1. Metropolitan Areas — Area and Population—Con.




Total Land2008

(July 1)2005

(July 1)

20001

(estimatesbase)

19902

(April 1)


2008 2000 1990 2008 2000 1990

Chico, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,677.1 1,639.5 220,337 214,873 203,171 182,120 194 190 189 134.4 123.9 111.1Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . . . 4,465.9 4,398.2 2,155,137 2,101,215 2,009,654 1,844,915 24 24 23 490.0 456.9 419.5Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,242.2 2,162.2 261,220 251,560 232,045 189,279 170 176 182 120.8 107.3 87.5Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 773.9 763.8 112,143 107,940 104,003 87,355 323 325 334 146.8 136.2 114.4Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . . . 3,978.9 2,004.4 2,088,291 2,116,304 2,148,017 2,102,248 26 23 21 1,041.8 1,071.6 1,048.8Coeur d’Alene, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,315.7 1,245.1 137,475 126,742 108,685 69,795 277 315 356 110.4 87.3 56.1

College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . . . 2,133.7 2,105.9 207,425 196,355 184,885 150,998 198 204 216 98.5 87.8 71.7Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . 2,688.5 2,683.5 617,714 588,718 537,488 409,482 83 86 95 230.2 200.3 152.6Columbia, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,161.9 1,151.2 164,283 156,080 145,666 122,010 236 251 263 142.7 126.5 106.0Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,833.9 3,701.2 728,063 690,717 647,248 548,936 69 73 74 196.7 174.9 148.3Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,960.0 1,937.0 287,653 287,991 281,736 266,452 160 154 148 148.5 145.4 137.6Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 409.4 406.8 75,360 73,069 71,435 63,657 359 359 357 185.2 175.6 156.5

Columbus, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,013.6 3,984.1 1,773,120 1,712,248 1,612,844 1,405,168 32 31 33 445.0 404.8 352.7Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,401.4 1,779.3 415,376 410,509 403,282 367,786 115 111 106 233.4 226.6 206.7Corvallis, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 679.0 676.5 81,859 79,452 78,139 70,811 356 357 355 121.0 115.5 104.7Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . 759.0 753.2 99,033 99,546 102,008 101,643 343 333 301 131.5 135.4 135.0Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . 9,284.2 8,989.6 6,300,006 5,817,696 5,161,530 3,989,294 4 5 9 700.8 574.2 443.8

Dallas-Plano-Irving, TX . . . . . . . . . . . . . . . . . . . . . . . . 5,819.4 5,588.7 4,226,003 3,903,972 3,451,203 2,622,562 (X) (X) (X) 756.2 617.5 469.3Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . . . . . 3,464.8 3,401.0 2,074,003 1,913,724 1,710,327 1,366,732 (X) (X) (X) 609.8 502.9 401.9

Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 637.5 634.4 134,139 130,132 120,061 98,609 281 289 311 211.4 189.3 155.4Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 902.1 899.1 80,680 81,743 83,924 88,257 357 350 330 89.7 93.3 98.2Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,022.1 1,013.8 105,783 106,618 110,156 108,728 332 311 287 104.3 108.7 107.2Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . . . 2,313.8 2,268.9 377,626 373,061 376,052 368,145 133 121 105 166.4 165.7 162.3Dayton, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,716.1 1,708.4 836,544 843,079 848,155 843,835 61 54 49 489.7 496.5 493.9Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,317.1 1,275.6 150,125 146,949 145,873 131,556 256 250 250 117.7 114.4 103.1

Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 585.4 580.5 108,328 109,635 114,706 117,206 327 299 272 186.6 197.6 201.9Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . . . 1,432.4 1,103.3 498,036 485,716 443,341 370,737 102 101 102 451.4 401.8 336.0Denver-Aurora, CO4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,387.2 8,357.4 2,506,626 2,358,271 2,179,338 1,650,489 21 22 24 299.9 260.8 197.5Des Moines-West Des Moines, IA. . . . . . . . . . . . . . . . . . . 2,912.2 2,879.2 556,230 523,604 481,394 416,346 90 93 94 193.2 167.2 144.6Detroit-Warren-Livonia, MI. . . . . . . . . . . . . . . . . . . . . . . 4,235.1 3,914.1 4,425,110 4,496,480 4,452,558 4,248,699 11 9 5 1,130.6 1,137.6 1,085.5

Detroit-Livonia-Dearborn, MI . . . . . . . . . . . . . . . . . . . . . 672.2 614.2 1,949,929 2,024,183 2,061,161 2,111,687 (X) (X) (X) 3,175.0 3,356.1 3,438.4Warren-Troy-Farmington Hills, MI . . . . . . . . . . . . . . . . . 3,562.9 3,299.9 2,475,181 2,472,297 2,391,397 2,137,012 (X) (X) (X) 750.1 724.7 647.6

Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,728.9 1,718.4 140,961 135,546 130,859 120,352 273 271 266 82.0 76.1 70.0Dover, DE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 800.1 589.7 155,415 143,206 126,702 110,993 251 279 281 263.5 214.9 188.2Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 616.6 608.2 92,724 90,975 89,156 86,403 349 348 336 152.5 146.6 142.1Duluth, MN-WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,215.1 8,394.6 274,571 274,116 275,485 269,230 164 156 145 32.7 32.8 32.1Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,812.1 1,765.3 489,762 457,943 423,796 344,645 103 105 116 277.4 240.1 195.2Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,686.6 1,648.1 158,742 154,738 148,337 137,543 246 246 240 96.3 90.0 83.5

El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,481.7 4,174.7 163,972 153,285 142,361 109,303 238 258 286 39.3 34.1 26.2Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 893.6 891.2 112,268 110,207 107,550 100,919 322 319 304 126.0 120.7 113.2Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 467.9 463.8 199,137 193,428 182,791 156,198 209 205 211 429.4 394.1 336.8Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410.8 408.2 87,813 88,381 91,070 95,195 352 345 317 215.1 223.1 233.2El Paso, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,014.7 1,013.1 742,062 709,992 679,622 591,610 68 69 71 732.5 670.8 584.0Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,558.4 802.0 279,175 278,781 280,845 275,572 163 155 143 348.1 350.2 343.6

Eugene-Springfield, OR . . . . . . . . . . . . . . . . . . . . . . . . . 4,721.8 4,554.0 346,560 335,422 322,979 282,912 145 139 140 76.1 70.9 62.1Evansville, IN-KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,348.0 2,290.8 350,261 347,718 342,816 324,858 142 133 124 152.9 149.6 141.8Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,444.0 7,366.2 97,970 94,561 82,840 77,720 344 352 347 13.3 11.2 10.6Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,820.7 2,810.5 195,685 185,680 174,367 153,296 213 214 213 69.6 62.0 54.5Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,538.4 5,514.0 122,500 121,843 113,801 91,605 302 300 324 22.2 20.6 16.6Fayetteville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,050.8 1,043.9 356,105 344,855 336,608 297,569 140 136 132 341.1 322.4 285.0

Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . . . 3,213.0 3,172.0 443,976 407,794 347,036 239,464 110 130 158 140.0 109.4 75.5Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,661.2 18,617.4 128,558 124,653 116,318 96,591 295 294 314 6.9 6.2 5.2Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 649.3 639.6 428,790 439,113 436,148 430,459 111 104 92 670.4 681.9 673.0Florence, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,370.5 1,361.0 199,831 196,670 193,155 176,195 207 198 194 146.8 141.9 129.5Florence-Muscle Shoals, AL. . . . . . . . . . . . . . . . . . . . . . . 1,342.4 1,264.0 143,791 141,790 142,944 131,327 270 257 252 113.8 113.1 103.9Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 765.8 722.9 99,453 98,392 97,296 90,083 341 339 327 137.6 134.6 124.6

Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . . . 2,633.9 2,601.3 292,825 275,570 251,494 186,136 158 167 187 112.6 96.7 71.6Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,092.8 4,000.8 290,977 282,291 273,177 234,078 159 158 159 72.7 68.3 58.5Fort Walton Beach-Crestview-Destin, FL . . . . . . . . . . . . . . 1,082.0 935.6 179,693 183,259 170,497 143,777 226 217 231 192.1 182.2 153.7Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,368.4 1,362.7 411,154 402,137 390,156 354,435 117 116 113 301.7 286.3 260.1Fresno, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,017.4 5,962.7 909,153 870,620 799,407 667,490 54 58 62 152.5 134.1 111.9Gadsden, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 548.8 534.8 103,303 102,433 103,459 99,840 336 328 307 193.2 193.4 186.7

Gainesville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,324.6 1,223.1 258,555 247,578 232,396 191,263 173 175 179 211.4 190.0 156.4Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 429.2 393.7 184,814 164,947 139,315 95,434 220 262 316 469.5 353.9 242.4Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,777.5 1,704.7 128,775 127,429 124,345 118,539 294 281 271 75.5 72.9 69.5Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 556.7 552.6 113,671 113,203 113,329 104,666 317 301 296 205.7 205.1 189.4Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,437.6 3,408.2 97,279 97,236 97,478 103,272 346 338 299 28.5 28.6 30.3Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,341.1 3,327.8 143,171 129,525 116,935 93,145 271 293 323 43.0 35.1 28.0

Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . . . 2,890.7 2,827.9 776,833 767,883 740,490 645,918 66 63 67 274.7 261.9 228.4Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,711.7 2,697.9 82,026 81,791 80,357 77,691 355 354 348 30.4 29.8 28.8Greeley, CO4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,021.6 3,992.5 249,775 226,354 180,857 131,821 177 208 249 62.6 45.3 33.0Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,849.0 1,869.3 302,935 296,384 282,499 243,698 153 153 157 162.1 151.1 130.4Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . . . 2,020.0 2,003.2 705,684 673,268 643,449 540,030 71 74 77 352.3 321.2 269.6Greenville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 920.7 917.0 176,758 163,927 152,693 123,864 227 238 260 192.8 166.5 135.1







Total Land2008

(July 1)2005

(July 1)

20001

(estimatesbase)

19902

(April 1)


2008 2000 1990 2008 2000 1990

Greenville-Mauldin-Easley, SC . . . . . . . . . . . . . . . . . . . . . 2,030.8 2,002.1 624,715 588,714 559,922 472,155 82 84 85 312.0 279.7 235.8Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,976.8 1,503.2 234,625 256,539 246,197 207,875 186 171 171 156.1 163.8 138.3Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . . . 1,018.8 1,008.3 263,753 249,510 222,771 192,774 169 181 178 261.6 220.9 191.2Hanford-Corcoran, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 1,391.5 1,391.0 149,518 143,507 129,461 101,469 258 274 302 107.5 93.1 72.9Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . . . 1,664.4 1,629.0 531,108 519,747 509,084 474,242 97 87 84 326.0 312.5 291.1Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 870.9 868.7 118,409 114,156 108,169 88,189 308 317 331 136.3 124.5 101.5

Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . . . 1,606.7 1,514.8 1,190,512 1,178,810 1,148,620 1,123,678 45 44 38 785.9 758.3 741.8Hattiesburg, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,620.9 1,610.8 140,781 131,739 123,812 109,603 274 284 285 87.4 76.9 68.0Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . . . 1,665.8 1,638.5 363,036 353,532 341,820 292,405 138 135 136 221.6 208.6 178.5Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . . . 1,006.0 920.0 69,943 73,822 71,914 58,947 361 358 359 76.0 78.2 64.1Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . . . 1,632.0 565.7 260,364 254,231 238,314 187,768 171 173 185 460.3 421.3 332.0Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,126.9 599.8 905,034 899,673 876,158 836,231 55 52 50 1,509.0 1,460.8 1,394.3

Hot Springs, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 734.6 677.2 97,465 93,197 88,068 73,397 345 349 352 143.9 130.0 108.4Houma-Bayou Cane-Thibodaux, LA . . . . . . . . . . . . . . . . . 3,552.1 2,339.6 201,148 197,514 194,477 182,842 204 195 188 86.0 83.1 78.2Houston-Sugar Land-Baytown, TX . . . . . . . . . . . . . . . . . . 10,061.9 8,928.2 5,728,143 5,302,908 4,715,417 3,767,233 6 8 10 641.6 528.1 421.9Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . . . 1,773.8 1,748.6 284,234 284,392 288,651 288,189 161 151 137 162.5 165.1 164.8Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,419.9 1,373.0 395,645 369,168 342,628 293,047 127 134 135 288.2 249.6 213.4Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,006.2 2,963.6 122,995 111,915 101,677 88,750 300 334 329 41.5 34.3 29.9

Indianapolis-Carmel, IN. . . . . . . . . . . . . . . . . . . . . . . . . . 3,887.9 3,863.4 1,715,459 1,643,072 1,525,103 1,294,217 33 34 34 444.0 394.8 335.0Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,194.1 1,183.2 149,437 142,293 131,676 115,731 259 270 276 126.3 111.3 97.8Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 491.6 476.1 101,136 99,887 96,502 94,097 339 340 320 212.4 202.7 197.7Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 723.8 706.6 160,180 162,573 158,422 149,756 243 232 219 226.7 224.2 211.9Jackson, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,795.3 3,726.1 537,285 521,330 497,200 446,941 93 90 86 144.2 133.4 119.9Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 847.4 845.5 112,685 110,663 107,365 90,801 320 320 325 133.3 127.0 107.4

Jacksonville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,698.1 3,220.6 1,313,228 1,247,794 1,122,750 925,213 40 45 47 407.8 348.6 287.3Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 908.6 766.8 165,938 158,926 150,355 149,838 232 245 218 216.4 196.1 195.4Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 726.2 720.5 160,213 156,394 152,307 139,510 242 240 237 222.4 211.4 193.6Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,278.4 2,252.9 146,363 143,407 140,053 120,704 264 261 265 65.0 62.2 53.6Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 863.9 853.5 195,849 188,794 181,605 160,369 212 206 205 229.5 212.8 187.9Johnstown, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 693.4 688.0 144,319 146,764 152,598 163,062 268 239 200 209.8 221.8 237.0

Jonesboro, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,476.4 1,468.6 117,361 112,500 107,762 93,620 311 318 321 79.9 73.4 63.7Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,268.0 1,266.2 172,933 165,875 157,322 134,910 229 234 244 136.6 124.3 106.6Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . . 1,670.4 1,172.7 323,713 320,457 314,866 293,471 148 146 134 276.0 268.5 250.2Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . 681.4 676.8 112,524 108,431 103,833 96,255 321 326 315 166.3 153.4 142.2Kansas City, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,949.4 7,856.5 2,002,047 1,937,398 1,836,425 1,636,527 29 26 25 254.8 233.7 208.3Kennewick-Pasco-Richland, WA . . . . . . . . . . . . . . . . . . . . 3,025.5 2,945.5 235,841 218,357 191,825 150,033 185 201 217 80.1 65.1 50.9

Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . . 2,858.6 2,823.5 378,935 354,257 330,712 268,820 131 138 146 134.2 117.1 95.2Kingsport-Bristol-Bristol, TN-VA . . . . . . . . . . . . . . . . . . . . 2,047.1 2,012.0 304,689 300,088 298,486 275,678 151 149 142 151.4 148.4 137.0Kingston, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,160.8 1,126.5 181,670 181,421 177,749 165,304 224 210 199 161.3 157.8 146.7Knoxville, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,931.7 1,857.0 691,152 657,525 616,076 534,917 73 76 79 372.2 331.8 288.1Kokomo, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 554.3 553.5 99,304 100,550 101,541 96,946 342 335 313 179.4 183.5 175.2La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,048.8 1,011.2 131,872 129,279 126,838 116,401 288 278 273 130.4 125.4 115.1

Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,284.5 1,278.4 192,870 184,850 178,541 158,848 216 209 208 150.9 139.7 124.3Lafayette, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,086.8 1,009.7 259,073 247,214 238,906 208,859 172 172 170 256.6 236.6 206.9Lake Charles, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,025.9 2,384.1 192,856 193,961 193,565 177,394 217 197 192 80.9 81.2 74.4Lake Havasu City-Kingman, AZ . . . . . . . . . . . . . . . . . . . . 13,469.7 13,311.6 196,281 185,843 155,032 93,497 211 236 322 14.7 11.6 7.0Lakeland-Winter Haven, FL . . . . . . . . . . . . . . . . . . . . . . . 2,010.0 1,874.4 580,594 537,863 483,924 405,382 87 92 96 309.8 258.2 216.3Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 983.8 949.1 502,370 488,884 470,658 422,822 101 96 93 529.3 495.9 445.5Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . . . 1,714.5 1,707.1 454,035 456,330 447,821 432,684 107 99 90 266.0 262.3 253.5

Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,375.5 3,356.8 236,941 221,165 193,117 133,239 184 199 247 70.6 57.5 39.7Las Cruces, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,814.6 3,807.2 201,603 189,330 174,682 135,510 202 213 243 53.0 45.9 35.6Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . . . 8,090.7 7,910.3 1,865,746 1,702,957 1,375,535 741,368 30 36 56 235.9 173.9 93.7Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474.5 456.9 114,748 111,519 99,962 81,798 313 336 341 251.2 218.8 179.0Lawton, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,083.8 1,069.4 111,772 111,860 114,998 111,486 324 298 280 104.5 107.5 104.3Lebanon, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362.6 361.9 128,934 124,860 120,326 113,744 293 288 278 356.3 332.5 314.3

Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,497.1 1,484.4 60,395 58,961 57,961 51,359 362 361 360 40.7 39.0 34.6Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . 497.2 470.3 106,877 106,584 103,793 105,259 331 327 294 227.3 220.7 223.8Lexington-Fayette, KY . . . . . . . . . . . . . . . . . . . . . . . . . . 1,484.1 1,478.8 453,424 432,283 408,326 348,428 108 109 115 306.6 276.1 235.6Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 406.9 404.4 105,168 105,550 108,473 109,755 333 316 284 260.0 268.2 271.4Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,422.4 1,413.6 295,486 284,600 266,787 229,091 155 160 162 209.0 188.7 162.1Little Rock-North Little Rock-Conway, AR . . . . . . . . . . . . . . 4,198.2 4,090.3 675,069 645,263 610,514 534,943 76 77 78 165.0 149.3 130.8

Logan, UT-ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,841.4 1,830.0 125,070 116,604 102,720 79,415 298 331 344 68.3 56.1 43.4Longview, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,807.7 1,785.2 204,746 199,377 194,042 180,053 201 196 190 114.7 108.7 100.9Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,166.3 1,138.6 101,254 96,231 92,948 82,119 338 344 340 88.9 81.6 72.1Los Angeles-Long Beach-Santa Ana, CA . . . . . . . . . . . . 5,700.3 4,850.3 12,872,808 12,815,345 12,365,624 11,273,720 2 2 2 2,654.0 2,549.5 2,324.3

Los Angeles-Long Beach-Glendale, CA . . . . . . . . . . . . . 4,752.3 4,060.9 9,862,049 9,846,010 9,519,331 8,863,052 (X) (X) (X) 2,428.6 2,344.2 2,182.6Santa Ana-Anaheim-Irvine, CA . . . . . . . . . . . . . . . . . . . 948.0 789.4 3,010,759 2,969,335 2,846,293 2,410,668 (X) (X) (X) 3,814.0 3,605.6 3,053.8

Louisville/Jefferson County, KY-IN . . . . . . . . . . . . . . . . . . . 4,196.3 4,135.4 1,244,696 1,207,215 1,162,414 1,056,156 42 43 40 301.0 281.1 255.4Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,802.4 1,799.0 270,610 262,596 249,700 229,940 166 169 160 150.4 138.8 127.8Lynchburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,146.7 2,124.1 245,809 235,969 228,616 206,226 179 178 173 115.7 107.6 97.1Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,737.7 1,724.6 230,777 227,582 222,385 206,786 189 183 172 133.8 128.9 119.9Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,153.3 2,135.9 148,333 140,049 123,109 88,090 261 285 332 69.4 57.6 41.2Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,802.1 2,738.4 561,505 539,865 501,773 432,323 89 88 91 205.1 183.2 157.9







Total Land2008

(July 1)2005

(July 1)

20001

(estimatesbase)

19902

(April 1)


2008 2000 1990 2008 2000 1990

Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . . . 892.2 876.4 402,042 398,193 380,843 335,838 126 119 121 458.8 434.6 383.2Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 500.3 496.9 124,999 126,935 128,852 126,137 299 277 258 251.6 259.3 253.9McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . . . 1,582.7 1,569.8 726,604 667,154 569,463 383,545 70 81 100 462.9 362.8 244.3Medford, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,801.8 2,785.2 201,138 194,268 181,275 146,387 205 207 227 72.2 65.1 52.6Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,699.6 4,572.1 1,285,732 1,252,785 1,205,196 1,067,263 41 41 39 281.2 263.6 233.4Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,971.9 1,928.7 246,117 238,034 210,546 178,403 178 186 191 127.6 109.2 92.5

Miami-Fort Lauderdale-Pompano Beach, FL . . . . . . . . . . 6,137.2 5,125.6 5,414,772 5,375,410 5,007,992 4,056,228 7 6 8 1,056.4 977.1 791.4Fort Lauderdale-Pompano Beach-Deerfield Beach, FL . . . 1,319.6 1,205.4 1,751,234 1,763,706 1,623,016 1,255,531 (X) (X) (X) 1,452.8 1,346.5 1,041.6Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . . . . 2,431.3 1,946.1 2,398,245 2,356,697 2,253,786 1,937,194 (X) (X) (X) 1,232.4 1,158.1 995.4West Palm Beach-Boca Raton-Boynton Beach, FL . . . . . . 2,386.3 1,974.1 1,265,293 1,255,007 1,131,190 863,503 (X) (X) (X) 640.9 573.0 437.4

Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . . . . 613.0 598.2 110,888 109,145 110,106 107,066 325 312 290 185.4 184.0 179.0Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 902.0 900.3 129,494 120,501 116,009 106,611 291 295 293 143.8 128.9 118.4

Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . . . 3,322.3 1,459.9 1,549,308 1,534,162 1,500,743 1,432,149 39 35 31 1,061.2 1,028.0 981.0Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . . . 6,364.1 6,063.1 3,229,878 3,131,632 2,968,818 2,538,776 16 16 16 532.7 489.7 418.7Missoula, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,618.3 2,598.0 107,320 102,140 95,799 78,687 330 341 345 41.3 36.9 30.3Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,644.0 1,233.1 406,309 397,909 399,843 378,643 122 113 101 329.5 324.3 307.1Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,514.7 1,493.8 510,694 499,822 446,998 370,522 100 100 103 341.9 299.2 248.0Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,538.0 1,488.1 172,743 170,899 170,053 162,987 230 219 201 116.1 114.3 109.5

Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 680.0 551.1 152,949 152,242 145,945 133,600 254 249 245 277.5 264.8 242.4Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,786.5 2,724.9 365,924 356,110 346,522 305,175 135 131 130 134.3 127.2 112.0Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,017.3 1,009.5 118,506 115,918 111,201 104,546 307 307 297 117.4 110.2 103.6Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 792.5 715.2 135,914 129,798 123,081 100,591 278 286 305 190.0 172.1 140.7Mount Vernon-Anacortes, WA . . . . . . . . . . . . . . . . . . . . . 1,920.5 1,735.1 118,000 111,963 102,975 79,545 309 330 343 68.0 59.3 45.8Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 395.9 393.3 114,685 116,600 118,769 119,659 314 292 268 291.6 302.0 304.3

Muskegon-Norton Shores, MI. . . . . . . . . . . . . . . . . . . . . . 1,459.3 509.1 174,344 173,925 170,200 158,983 228 218 207 342.4 334.3 312.3Myrtle Beach-North Myrtle Beach-Conway, SC . . . . . . . . . . 1,255.0 1,133.7 257,380 228,254 196,660 144,053 174 194 230 227.0 173.5 127.1Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 788.3 753.7 133,433 130,056 124,279 110,765 282 282 283 177.0 164.9 147.0Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . . . 2,304.9 2,025.3 315,258 305,481 251,377 152,099 150 168 214 155.7 124.1 75.1Nashville-Davidson—Murfreesboro—Franklin, TN . . . . . . . . 5,762.7 5,686.7 1,550,733 1,449,403 1,311,789 1,048,216 38 39 41 272.7 230.7 184.3New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . . . 862.0 605.6 846,101 840,117 824,008 804,219 58 57 53 1,397.0 1,360.6 1,327.9

New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . . . 7,097.0 3,153.4 1,134,029 1,312,400 1,316,512 1,264,383 46 38 35 359.6 417.5 401.0New York-Northern New Jersey-Long Island, NY-NJ-PA . . 9,212.2 6,725.9 19,006,798 18,812,037 18,323,391 16,846,046 1 1 1 2,825.9 2,724.3 2,504.7

Edison-New Brunswick, NJ. . . . . . . . . . . . . . . . . . . . . . 2,208.6 1,722.6 2,325,224 2,294,668 2,173,874 1,898,352 (X) (X) (X) 1,349.8 1,262.0 1,102.0Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . 2,826.2 1,198.9 2,863,849 2,860,241 2,753,913 2,609,212 (X) (X) (X) 2,388.8 2,297.1 2,176.4Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . . . 2,256.7 2,196.6 2,121,076 2,122,182 2,097,524 1,959,855 (X) (X) (X) 965.6 954.9 892.2New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . . . 1,920.8 1,607.8 11,696,649 11,534,946 11,298,080 10,378,627 (X) (X) (X) 7,275.0 7,027.1 6,455.2

Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . 1,581.4 571.0 159,481 160,034 162,455 161,378 245 229 203 279.3 284.5 282.6Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . . . 771.7 665.9 264,519 265,204 259,106 254,957 168 161 155 397.2 389.1 382.9Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,663.0 1,578.9 329,628 301,436 258,914 194,835 147 162 177 208.8 164.0 123.4Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 620.3 255.2 95,838 98,557 102,326 95,089 348 332 318 375.6 401.0 372.6Odessa, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 901.7 901.1 131,941 124,350 121,123 118,934 287 287 269 146.4 134.4 132.0Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,904.0 1,489.2 531,488 491,436 442,656 351,799 96 102 114 356.9 297.3 236.2

Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,581.8 5,517.7 1,206,142 1,154,487 1,095,422 971,042 44 47 44 218.6 198.5 176.0Olympia, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 773.6 727.0 245,181 227,476 207,353 161,238 181 189 204 337.2 285.2 221.8Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . . . 4,406.2 4,362.6 837,925 810,155 767,144 685,797 60 60 59 192.1 175.8 157.2Orlando-Kissimmee, FL. . . . . . . . . . . . . . . . . . . . . . . . . . 4,011.8 3,490.7 2,054,574 1,935,502 1,644,547 1,224,844 27 30 36 588.6 471.1 350.9Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . 578.7 438.6 162,111 159,448 156,763 140,320 240 235 236 369.6 357.4 319.9Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 931.4 905.5 112,762 110,753 109,875 104,681 319 313 295 124.5 121.3 115.6

Oxnard-Thousand Oaks-Ventura, CA. . . . . . . . . . . . . . . . . 2,208.2 1,845.3 797,740 788,565 753,186 669,016 64 61 61 432.3 408.2 362.6Palm Bay-Melbourne-Titusville, FL . . . . . . . . . . . . . . . . . . 1,557.0 1,018.2 536,521 526,080 476,230 398,978 94 95 97 526.9 467.7 391.9Palm Coast, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 570.8 485.0 91,247 75,338 49,832 28,701 350 363 363 188.1 102.7 59.2Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . . 1,033.3 763.7 163,946 161,458 148,218 126,994 239 247 257 214.7 194.1 166.3Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . . . 1,386.5 1,366.2 160,678 161,635 164,620 161,907 241 225 202 117.6 120.5 118.5Pascagoula, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,526.9 1,205.2 153,100 155,081 150,564 131,916 253 243 248 127.0 124.9 109.5Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . . . 2,049.1 1,679.3 452,992 444,595 412,153 344,406 109 108 117 269.8 245.4 205.1

Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,518.3 2,470.3 372,487 367,354 366,878 358,552 134 127 111 150.8 148.5 145.1Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . 4,870.6 4,629.6 5,838,471 5,786,636 5,687,150 5,435,550 5 4 4 1,261.1 1,228.4 1,174.1

Camden, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,383.9 1,351.6 1,250,569 1,237,740 1,187,001 1,127,972 (X) (X) (X) 925.3 878.2 834.6Philadelphia, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,202.8 2,165.8 3,892,194 3,866,993 3,849,644 3,728,991 (X) (X) (X) 1,797.1 1,777.5 1,721.8Wilmington, DE-MD-NJ . . . . . . . . . . . . . . . . . . . . . . . . 1,284.0 1,112.3 695,708 681,903 650,505 578,587 (X) (X) (X) 625.5 584.8 520.2

Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . . 14,598.4 14,572.7 4,281,899 3,873,404 3,251,887 2,238,498 12 14 20 293.8 223.1 153.6

Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,084.7 2,043.8 100,647 103,636 107,346 106,958 340 321 291 49.2 52.5 52.3Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,343.1 5,279.6 2,351,192 2,372,356 2,431,088 2,468,289 22 20 18 445.3 460.5 467.5Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 946.3 931.3 129,395 131,193 134,953 139,352 292 267 238 138.9 144.9 149.6Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,590.1 2,518.9 88,495 86,144 83,103 73,112 351 351 354 35.1 33.0 29.0Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . . . 2,858.4 2,080.3 514,065 511,089 487,566 441,257 99 91 87 247.1 234.4 212.1Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . . . 6,817.8 6,684.1 2,207,462 2,087,066 1,927,883 1,523,741 23 25 27 330.3 288.4 228.0

Port St. Lucie, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,440.9 1,128.1 403,768 375,661 319,426 251,071 124 144 156 357.9 283.2 222.6Poughkeepsie-Newburgh-Middletown, NY . . . . . . . . . . . . . 1,663.9 1,617.9 672,525 662,140 621,515 567,109 77 75 73 415.7 384.1 350.5Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,127.8 8,123.3 215,503 197,367 167,517 107,714 196 220 289 26.5 20.6 13.3Providence-New Bedford-Fall River, RI-MA. . . . . . . . . . . . . 2,236.2 1,600.9 1,596,611 1,609,938 1,582,997 1,509,789 37 32 28 997.3 988.8 943.1Provo-Orem, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,547.3 5,390.1 540,820 463,733 376,778 269,407 92 120 144 100.3 69.9 50.0Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,397.7 2,388.7 156,737 149,703 141,472 123,051 250 260 261 65.6 59.2 51.5







Total Land2008

(July 1)2005

(July 1)

20001

(estimatesbase)

19902

(April 1)


2008 2000 1990 2008 2000 1990

Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 859.1 693.6 150,060 153,142 141,627 110,975 257 259 282 216.3 204.2 160.0Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 791.9 333.1 199,510 196,798 188,833 175,034 208 202 196 598.9 566.9 525.5Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,147.6 2,115.8 1,088,765 953,093 797,065 544,020 50 59 76 514.6 376.7 257.1Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,266.8 6,246.8 122,522 118,031 112,818 103,221 301 303 300 19.6 18.1 16.5Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 865.7 858.9 403,595 393,305 373,638 336,523 125 123 120 469.9 435.0 391.8Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,847.4 3,785.2 180,214 177,541 163,256 147,036 225 228 224 47.6 43.1 38.8

Reno-Sparks, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,815.1 6,605.7 414,784 393,746 342,885 257,193 116 132 154 62.8 51.9 38.9Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,841.7 5,711.8 1,225,626 1,173,091 1,096,947 949,244 43 46 46 214.6 192.0 166.2Riverside-San Bernardino-Ontario, CA. . . . . . . . . . . . . . . . 27,408.5 27,259.9 4,115,871 3,871,591 3,254,817 2,588,793 14 13 13 151.0 119.4 95.0Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,896.7 1,873.7 298,108 291,810 288,249 268,513 154 152 147 159.1 153.8 143.3Rochester, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,644.0 1,617.5 182,924 175,929 163,617 141,945 222 227 233 113.1 101.2 87.8Rochester, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,870.1 2,931.4 1,034,090 1,034,772 1,037,836 1,002,410 51 49 43 352.8 354.0 342.0

Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 801.2 795.0 354,394 339,194 320,206 283,719 141 142 138 445.8 402.8 356.9Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,049.3 1,045.3 146,356 143,804 142,991 133,369 265 256 246 140.0 136.8 127.6Rome, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 518.5 513.1 95,980 94,193 90,565 81,251 347 346 342 187.0 176.5 158.3Sacramento—Arden-Arcade—Roseville, CA . . . . . . . . . . . . 5,309.3 5,094.1 2,109,832 2,032,386 1,796,852 1,481,220 25 27 29 414.2 352.7 290.8Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . . . 815.8 808.9 200,745 206,457 210,042 211,946 206 188 167 248.2 259.7 262.0St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,802.9 1,752.8 186,954 181,334 167,391 149,509 219 221 220 106.7 95.5 85.3

St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,429.9 2,426.6 137,589 119,076 90,354 48,560 276 347 361 56.7 37.2 20.0St. Joseph, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,673.9 1,661.3 126,359 123,572 123,820 115,816 296 283 275 76.1 74.5 69.7St. Louis, MO-IL5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,844.0 8,649.3 2,816,710 2,773,156 2,698,664 2,580,720 18 18 14 325.7 312.0 298.4Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,938.3 1,925.0 391,680 371,779 347,217 278,024 129 129 141 203.5 180.4 144.4Salinas, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,771.1 3,322.0 408,238 406,887 401,761 355,660 119 112 112 122.9 120.9 107.1Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,010.6 704.4 120,165 115,860 109,391 97,779 305 314 312 170.6 155.3 138.8

Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,977.0 9,538.8 1,115,692 1,045,905 968,883 768,075 49 50 54 117.0 101.6 80.5San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,592.1 2,573.6 109,563 106,645 105,781 100,087 326 322 306 42.6 41.1 38.9San Antonio, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,384.7 7,340.5 2,031,445 1,879,129 1,711,717 1,407,745 28 29 32 276.7 233.2 191.8San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . . . 4,525.5 4,199.9 3,001,072 2,931,689 2,813,834 2,498,016 17 17 17 714.6 670.0 594.8Sandusky, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 626.2 254.9 77,062 77,786 79,551 76,779 358 356 349 302.3 312.1 301.2

San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . . . 3,424.4 2,473.1 4,274,531 4,157,603 4,123,747 3,684,112 13 12 11 1,728.4 1,667.5 1,489.7Oakland-Fremont-Hayward, CA. . . . . . . . . . . . . . . . . . . 1,623.3 1,457.5 2,504,071 2,441,794 2,392,561 2,080,434 (X) (X) (X) 1,718.0 1,641.5 1,427.4San Francisco-San Mateo-Redwood City, CA . . . . . . . . . 1,801.1 1,015.6 1,770,460 1,715,809 1,731,186 1,603,678 (X) (X) (X) 1,743.3 1,704.7 1,579.1

San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . . . 2,694.7 2,679.8 1,819,198 1,742,883 1,735,818 1,534,274 31 28 26 678.9 647.8 572.5San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . . . 3,615.5 3,304.3 265,297 257,779 246,681 217,162 167 170 166 80.3 74.7 65.7Santa Barbara-Santa Maria-Goleta, CA . . . . . . . . . . . . . . . 3,789.1 2,737.0 405,396 401,576 399,356 369,608 123 114 104 148.1 145.9 135.0

Santa Cruz-Watsonville, CA. . . . . . . . . . . . . . . . . . . . . . . 607.2 445.2 253,137 249,603 255,600 229,734 176 163 161 568.5 574.1 516.0Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,910.8 1,909.2 143,937 139,190 129,295 98,928 269 275 310 75.4 67.7 51.8Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . . . . . . . . . . 1,768.2 1,575.9 466,741 462,299 458,616 388,222 105 98 99 296.2 291.0 246.4Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,569.6 1,359.2 334,353 314,178 293,302 257,899 146 150 153 246.0 215.8 189.7Scranton—Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . 1,776.4 1,746.6 549,150 548,256 560,631 575,322 91 83 72 314.4 321.0 329.4

Seattle-Tacoma-Bellevue, WA . . . . . . . . . . . . . . . . . . . . 6,309.4 5,894.0 3,344,813 3,197,370 3,043,897 2,559,136 15 15 15 567.5 516.4 434.2Seattle-Bellevue-Everett, WA . . . . . . . . . . . . . . . . . . . . 4,502.9 4,215.1 2,559,174 2,448,168 2,343,078 1,972,933 (X) (X) (X) 607.1 555.9 468.1Tacoma, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,806.5 1,678.9 785,639 749,202 700,819 586,203 (X) (X) (X) 467.9 417.4 349.2

Sebastian-Vero Beach, FL. . . . . . . . . . . . . . . . . . . . . . . . 616.9 503.2 132,315 126,578 112,943 90,208 286 302 326 262.9 224.4 179.3Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,271.0 513.6 114,561 113,663 112,656 103,877 315 304 298 223.0 219.3 202.2Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . . . . . . . 979.2 933.5 118,804 115,577 110,595 95,019 306 309 319 127.3 118.5 101.8Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . . . 2,698.3 2,598.4 389,533 381,391 375,971 359,687 130 122 110 149.9 144.7 138.4

Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,094.6 2,073.2 143,157 140,817 143,053 131,350 272 255 251 69.1 69.0 63.4Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,586.9 2,579.1 232,930 214,671 187,095 153,500 188 203 212 90.3 72.5 59.5South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . 969.4 949.5 316,865 315,464 316,661 296,529 149 145 133 333.7 333.5 312.3Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 819.1 810.9 280,738 265,282 253,782 226,793 162 164 163 346.2 313.0 279.7Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,780.7 1,763.6 462,677 440,431 417,939 361,333 106 107 108 262.3 237.0 204.9Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,192.4 1,182.4 207,389 204,976 201,444 189,550 199 192 181 175.4 170.4 160.3

Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,904.3 1,849.5 687,558 685,931 680,016 672,970 75 68 60 371.8 367.7 363.9Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,020.8 3,010.2 426,144 400,410 368,375 298,818 113 125 131 141.6 122.4 99.3Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403.6 399.9 139,859 141,554 144,738 147,548 275 254 223 349.8 362.0 369.0State College, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,111.9 1,107.5 144,779 141,439 135,760 124,812 267 266 259 130.7 122.6 112.7Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,426.3 1,399.3 672,388 655,866 563,603 480,628 78 82 83 480.5 402.8 343.5Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 682.0 665.4 104,148 104,749 104,636 101,276 335 323 303 156.5 157.3 152.2

Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,779.4 2,389.5 643,794 646,452 650,154 659,924 81 72 64 269.4 272.1 276.2Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,602.7 2,387.3 357,259 341,548 320,309 259,107 139 141 152 149.7 134.2 108.5Tampa-St. Petersburg-Clearwater, FL . . . . . . . . . . . . . . . . 3,330.9 2,554.0 2,733,761 2,637,036 2,396,011 2,067,959 19 21 22 1,070.4 938.1 809.7Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,484.8 1,465.0 170,233 169,112 170,954 166,578 231 216 198 116.2 116.7 113.7Texarkana, TX-Texarkana, AR . . . . . . . . . . . . . . . . . . . . . 1,560.3 1,511.9 135,509 132,250 129,749 120,132 280 273 267 89.6 85.8 79.5Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,208.9 1,619.5 649,104 654,360 659,185 654,157 79 71 66 400.8 407.0 403.9

Topeka, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,290.2 3,242.4 229,619 227,025 224,549 210,257 191 180 169 70.8 69.3 64.8Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228.8 225.9 364,883 362,368 350,761 325,824 136 128 123 1,615.0 1,552.5 1,442.1Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,188.8 9,186.3 1,012,018 947,533 843,742 666,957 52 55 63 110.2 91.8 72.6Tulsa, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,460.2 6,280.9 916,079 880,999 859,533 761,019 53 53 55 145.9 136.8 121.2Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,667.6 2,614.0 206,765 198,135 193,105 176,173 200 200 195 79.1 73.9 67.4Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 949.5 928.4 201,277 189,929 174,706 151,309 203 212 215 216.8 188.2 163.0







Total Land2008

(July 1)2005

(July 1)

20001

(estimatesbase)

19902

(April 1)


2008 2000 1990 2008 2000 1990

Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,715.5 2,624.0 293,790 294,908 299,896 316,645 156 148 126 112.0 114.3 120.7Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,629.0 1,588.8 133,348 126,119 119,566 99,244 283 291 309 83.9 75.3 62.5Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 906.7 829.2 407,515 407,269 394,545 339,471 121 115 119 491.5 475.8 409.4Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,780.2 2,248.3 114,313 112,206 111,668 99,394 316 306 308 50.8 49.7 44.2Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . 676.6 489.3 156,830 152,440 146,434 138,053 249 248 239 320.5 299.3 282.1

Virginia Beach-Norfolk-Newport News, VA-NC. . . . . . . . . . . 3,896.5 2,627.6 1,658,292 1,649,404 1,576,916 1,450,855 35 33 30 631.1 600.1 552.2Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,839.1 4,824.0 426,276 405,142 368,021 311,921 112 126 127 88.4 76.3 64.7Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,060.2 1,041.9 230,213 224,011 213,519 189,123 190 185 183 221.0 204.9 181.5Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379.8 376.8 133,161 125,802 110,765 89,208 284 308 328 353.4 294.0 236.8Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . 6,028.0 5,627.1 5,358,130 5,221,894 4,796,065 4,122,259 9 7 7 952.2 852.3 732.6

Bethesda-Frederick-Gaithersburg, MD . . . . . . . . . . . . . . 1,174.5 1,158.4 1,176,401 1,149,464 1,068,617 907,235 (X) (X) (X) 1,015.5 922.5 783.2Washington-Arlington-Alexandria, DC-VA-MD-WV. . . . . . . 4,853.5 4,468.7 4,181,729 4,072,430 3,727,448 3,215,024 (X) (X) (X) 935.8 834.1 719.5

Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . . . 1,514.1 1,507.5 164,220 162,207 163,707 158,640 237 226 209 108.9 108.6 105.2Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,576.1 1,545.0 130,962 127,568 125,836 115,400 290 280 277 84.8 81.4 74.7Weirton-Steubenville, WV-OH. . . . . . . . . . . . . . . . . . . . . . 591.5 581.3 122,054 125,299 132,008 142,523 304 269 232 210.0 227.1 245.2Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,842.3 4,741.9 108,193 103,235 99,216 78,455 328 337 346 22.8 20.9 16.5Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 962.4 950.5 144,847 147,449 153,178 159,301 266 237 206 152.4 161.2 167.6Wichita, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,181.1 4,148.4 603,716 583,791 571,171 511,111 84 80 80 145.5 137.7 123.2

Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,675.0 2,635.2 147,328 149,731 151,524 140,375 263 241 235 55.9 57.5 53.3Williamsport, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,243.8 1,234.9 116,670 117,683 120,048 118,710 312 290 270 94.5 97.2 96.1Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,310.6 1,924.4 347,012 316,271 274,552 200,124 144 157 175 180.3 142.7 104.0Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,069.6 1,065.7 122,369 115,773 102,996 84,168 303 329 337 114.8 96.6 79.0Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,473.2 1,462.2 468,124 445,761 421,963 361,448 104 106 107 320.2 288.6 247.2Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,579.0 1,513.1 783,806 777,629 749,973 709,705 65 62 57 518.0 495.7 469.1

Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,311.6 4,296.2 234,564 228,222 222,579 188,823 187 182 184 54.6 51.8 44.0York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 910.3 904.5 424,583 406,121 381,753 339,574 114 118 118 469.4 422.1 375.4Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . . . 1,740.7 1,703.6 565,947 580,874 602,963 613,622 88 78 69 332.2 353.9 360.2Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,252.3 1,233.2 165,274 154,678 139,149 122,643 234 263 262 134.0 112.8 99.4Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,519.0 5,514.1 194,322 180,009 160,026 106,895 215 231 292 35.2 29.0 19.4

X Not applicable.

1The April 1, 2000, population estimates base reflects modifications to the Census 2000 population as documented in the Count Question Resolution program and geographic program revisions.2The April 1, 1990, census counts include corrections processed through August 1997, results of special censuses and test censuses, and do not include adjustments for census coverage errors.3Persons per square mile were calculated on the basis of land area data from the 2000 census.4The 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 whendata are available to do so. In many cases, the data will not be available.

5The 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: Based on the Census of Population and Housing and, for population estimates, the ‘‘component of population change method’’; for more information,see Appendix B, Limitations of the Data and Methodology, and Internet sites <http://www.census.gov/prod/cen2000/doc/sf1.pdf> and <http://www.census.gov/popest/topics/methodology/>.

Sources: Area—U.S. Census Bureau, 2000 Census of Population and Housing, Summary Population and Housing Characteristics, Series PHC-1; and unpublished data on American FactFinder.Population—U.S. Census Bureau, archive 1990 to 1999, ‘‘County Population Estimates for July 1, 1999 and Population Change for April 1, 1990 to July 1, 1999,’’ released March 9, 2000 (relatedInternet site <http://www.census.gov/popest/archives/1990s/CO-99-02.html>). For 2000–2008, compiled from Population Estimates, ‘‘Annual Estimates of the Population for Counties: April 1, 2000 toJuly 1, 2008,’’ published March 19, 2009 (related Internet site <http://www.census.gov/popest/counties/CO-EST2008-01.html>).


Table B–2. Metropolitan Areas — Components of Population Change



Components of population change,April 1, 2000, to July 1, 2008

Population change,April 1, 1990,

to April 1, 2000

Number

Percent-age

change Number

Percent-age

change

Totalpopulation

change1

Natural increaseNet

migrationtotal

Netinter-

nationalmigration

NetdomesticmigrationTotal Births Deaths

Abilene, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –720 7,171 19,736 12,565 –7,116 455 –7,571 –0.4 12,241 8.3Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,591 15,840 69,739 53,899 –12,171 4,694 –16,865 0.5 37,385 5.7Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,051 8,086 19,396 11,310 –2,880 700 –3,580 4.5 11,250 7.7Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . . . . . . 28,046 15,841 78,358 62,517 15,973 9,250 6,723 3.4 16,233 2.0Albuquerque, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,265 47,274 95,633 48,359 72,969 14,054 58,915 15.9 130,233 21.7Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,070 5,159 18,011 12,852 690 483 207 5.6 –4,047 –2.7

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . . . . . . 67,808 13,868 74,872 61,004 55,708 11,684 44,024 9.2 53,707 7.8Altoona, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –3,970 –1,254 11,998 13,252 –2,196 186 –2,382 –3.1 –1,398 –1.1Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,316 14,304 31,087 16,783 4,519 3,761 758 7.6 30,411 15.5Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,773 4,055 7,921 3,866 3,016 3,633 –617 8.5 5,729 7.7Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,095 31,460 44,331 12,871 15,305 3,064 12,241 14.1 53,584 20.1Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –1,857 1,502 13,481 11,979 –2,831 605 –3,436 –1.4 2,689 2.1

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,087 3,725 18,759 15,034 14,167 890 13,277 10.3 20,563 14.2Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24,606 19,596 34,866 15,270 6,708 14,974 –8,266 7.6 39,958 14.1Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,176 1,538 12,411 10,873 127 390 –263 1.0 –3,783 –3.3Appleton, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,000 12,774 24,255 11,481 6,238 1,611 4,627 8.9 26,801 15.3Asheville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,266 2,636 37,906 35,270 38,322 5,935 32,387 10.6 61,172 19.9Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . 23,189 9,495 19,212 9,717 14,643 5,444 9,199 14.0 30,054 22.1

Atlanta-Sandy Springs-Marietta, GA . . . . . . . . . . . . . . . . . . . . 1,128,271 405,401 640,441 235,040 599,183 189,267 409,916 26.6 1,179,006 38.4Atlantic City-Hammonton, NJ . . . . . . . . . . . . . . . . . . . . . . . . . 18,129 7,856 29,196 21,340 11,356 9,426 1,930 7.2 28,225 12.6Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,886 5,540 12,215 6,675 12,994 1,256 11,738 15.5 27,946 32.1Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . . . . . . 34,562 23,309 61,664 38,355 14,033 2,155 11,878 6.9 63,885 14.7Austin-Round Rock, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 402,855 138,881 196,322 57,441 269,627 61,564 208,063 32.2 403,536 47.7Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138,805 68,502 111,678 43,176 73,376 21,272 52,104 21.0 116,664 21.4

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,117 91,584 285,135 193,551 –2,588 32,841 –35,429 4.5 170,822 7.2Bangor, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,732 1,887 13,144 11,257 2,594 780 1,814 2.6 –1,682 –1.1Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –1,183 –6,383 16,340 22,723 6,062 2,582 3,480 –0.5 35,625 19.1Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,425 39,112 87,996 48,884 33,109 6,473 26,636 9.7 82,123 13.2Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –2,124 3,811 15,471 11,660 –5,257 1,244 –6,501 –1.5 2,003 1.5Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –2,662 1,467 10,537 9,070 –3,601 166 –3,767 –2.4 –1,566 –1.4

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . –6,835 10,143 42,413 32,270 –14,999 4,117 –19,116 –1.8 23,872 6.6Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29,701 6,708 17,516 10,808 23,970 4,429 19,541 17.8 39,034 30.5Bend, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,089 5,941 14,277 8,336 37,799 626 37,173 37.3 40,391 53.9Billings, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,103 5,490 16,017 10,527 8,340 232 8,108 9.4 17,405 14.3Binghamton, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –7,134 1,667 22,276 20,609 –7,524 2,742 –10,266 –2.8 –12,177 –4.6Birmingham-Hoover, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,307 33,123 123,883 90,760 32,740 9,278 23,462 6.3 95,592 10.0

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,211 4,297 10,544 6,247 6,379 277 6,102 10.8 10,888 13.0Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . . . . . . 7,004 2,246 12,564 10,318 5,492 2,835 2,657 4.6 10,557 7.5Bloomington, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,437 5,069 16,081 11,012 4,228 3,366 862 4.8 18,837 12.0Bloomington-Normal, IL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,865 9,443 17,909 8,466 6,159 1,978 4,181 9.9 21,253 16.5Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134,913 44,984 73,104 28,120 92,942 8,524 84,418 29.0 145,244 45.4

Boston-Cambridge-Quincy, MA-NH . . . . . . . . . . . . . . . . . . . 130,513 172,552 464,360 291,808 –84,774 171,722 –256,496 3.0 257,449 6.2Boston-Quincy, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,722 72,999 195,814 122,815 –46,837 80,467 –127,304 4.0 97,668 5.7Cambridge-Newton-Framingham, MA. . . . . . . . . . . . . . . . . . 16,082 58,261 151,415 93,154 –44,546 68,300 –112,846 1.1 66,928 4.8Peabody, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,036 24,489 77,422 52,933 –8,280 20,419 –28,699 1.8 53,339 8.0Rockingham County-Strafford County, NH. . . . . . . . . . . . . . . 29,673 16,803 39,709 22,906 14,889 2,536 12,353 7.6 39,514 11.3

Boulder, CO2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,388 17,673 29,278 11,605 6,949 11,113 –4,164 8.7 65,949 29.3

Bowling Green, KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,779 4,753 12,189 7,436 9,579 2,593 6,986 13.2 16,089 18.3Bradenton-Sarasota-Venice, FL . . . . . . . . . . . . . . . . . . . . . . . 97,857 –13,650 54,287 67,937 113,251 13,998 99,253 16.6 100,476 20.5Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,803 9,809 24,496 14,687 –1,118 –54 –1,064 3.4 42,238 22.3Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . . . . . . 12,463 42,539 97,973 55,434 –25,071 47,408 –72,479 1.4 54,922 6.6Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,509 54,237 71,262 17,025 5,130 14,858 –9,728 17.2 75,107 28.9Brunswick, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,806 2,796 10,965 8,169 7,452 923 6,529 10.5 10,837 13.2

Buffalo-Niagara Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . –45,800 5,627 105,478 99,851 –45,678 10,452 –56,130 –3.9 –19,229 –1.6Burlington, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,253 4,531 15,522 10,991 13,322 4,707 8,615 13.2 22,587 20.9Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . . . . . . 9,568 7,907 19,095 11,188 2,598 3,329 –731 4.8 21,830 12.3Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 685 6,215 40,317 34,102 –7,753 676 –8,429 0.2 12,828 3.3Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . . . . . . . . . . 152,248 5,371 52,007 46,636 148,022 13,502 134,520 34.5 105,775 31.6Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,410 833 6,073 5,240 1,805 1,428 377 4.6 12,014 29.7

Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,596 3,238 8,104 4,866 3,705 279 3,426 9.9 5,307 8.7Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,222 11,784 27,612 15,828 6,547 1,952 4,595 7.7 26,590 12.6Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,912 9,835 22,561 12,726 5,236 7,218 –1,982 6.6 7,427 3.7Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –5,691 1,048 30,850 29,802 –5,288 545 –5,833 –1.8 1,946 0.6Charleston-North Charleston-Summerville, SC . . . . . . . . . . . . . 95,534 32,455 70,131 37,676 62,803 4,449 58,354 17.4 42,156 8.3Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . . . . . . 371,274 108,911 195,866 86,955 268,137 44,413 223,724 27.9 305,758 29.8

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,370 7,324 18,737 11,413 10,941 3,904 7,037 11.7 29,870 20.7Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,929 10,531 51,574 41,043 18,974 3,961 15,013 8.8 43,321 10.0Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,935 4,650 10,306 5,656 1,666 –36 1,702 7.3 8,465 11.6Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . . . . . . 470,995 592,990 1,165,375 572,385 –119,923 401,002 –520,925 5.2 916,240 11.2

Chicago-Naperville-Joliet, IL . . . . . . . . . . . . . . . . . . . . . . . . 361,753 507,015 984,885 477,870 –146,320 368,714 –515,034 4.7 733,972 10.6Gary, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,490 25,314 77,530 52,216 4,614 5,640 –1,026 3.9 32,934 5.1Lake County-Kenosha County, IL-WI . . . . . . . . . . . . . . . . . . 82,752 60,661 102,960 42,299 21,783 26,648 –4,865 10.4 149,334 23.2



Table B–2. Metropolitan Areas — Components of Population Change—Con.





to April 1, 2000

Number

Percent-age

change Number

Percent-age

change

Totalpopulation

change1

Natural increaseNet

migrationtotal

Netinter-

nationalmigration


Chico, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,166 2,007 20,185 18,178 16,051 3,234 12,817 8.4 21,051 11.6Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . . . . . . 145,483 98,097 244,545 146,448 –969 17,985 –18,954 7.2 164,717 8.9Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29,175 20,928 35,880 14,952 1,194 –1,739 2,933 12.6 42,721 22.6Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,140 3,057 11,544 8,487 5,588 831 4,757 7.8 16,660 19.1Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . . . . . . –59,726 44,622 219,736 175,114 –103,636 26,340 –129,976 –2.8 45,895 2.2Coeur d’Alene, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,790 5,368 13,202 7,834 24,261 335 23,926 26.5 38,890 55.7

College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,540 14,071 23,517 9,446 9,542 8,355 1,187 12.2 33,887 22.4Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,226 45,448 73,205 27,757 31,401 5,596 25,805 14.9 128,002 31.3Columbia, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,617 8,901 16,918 8,017 10,445 3,046 7,399 12.8 23,656 19.4Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,815 30,442 76,592 46,150 53,369 6,555 46,814 12.5 98,222 17.9Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,917 13,633 35,879 22,246 –6,938 800 –7,738 2.1 15,316 5.7Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,925 3,173 8,580 5,407 1,084 1,626 –542 5.5 7,778 12.2

Columbus, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160,276 107,821 213,413 105,592 57,096 31,386 25,710 9.9 207,526 14.8Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,094 26,487 53,596 27,109 –12,573 3,203 –15,776 3.0 35,494 9.7Corvallis, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,720 2,509 6,548 4,039 1,626 2,522 –896 4.8 7,342 10.4Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –2,975 –1,750 8,234 9,984 –651 120 –771 –2.9 365 0.4Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . . . . 1,138,476 542,958 817,379 274,421 573,584 304,391 269,193 22.1 1,172,250 29.4

Dallas-Plano-Irving, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . 774,800 381,163 555,356 174,193 363,612 235,889 127,723 22.5 828,664 31.6Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . . . . . . . . 363,676 161,795 262,023 100,228 209,972 68,502 141,470 21.3 343,586 25.1

Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,078 11,981 20,106 8,125 2,745 7,109 –4,364 11.7 21,422 21.7Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –3,244 1,315 9,202 7,887 –4,234 355 –4,589 –3.9 –4,338 –4.9Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –4,373 –700 10,462 11,162 –3,035 618 –3,653 –4.0 1,428 1.3Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . . . . . . 1,574 12,717 41,220 28,503 –9,997 3,849 –13,846 0.4 7,874 2.1Dayton, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –11,611 23,865 89,852 65,987 –35,836 4,076 –39,912 –1.4 4,318 0.5Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,252 3,986 15,801 11,815 986 1,368 –382 2.9 14,311 10.9

Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –6,378 1,960 11,698 9,738 –7,967 362 –8,329 –5.6 –2,500 –2.1Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . . . . . . 54,695 –9,224 40,667 49,891 65,067 6,027 59,040 12.3 72,606 19.6Denver-Aurora, CO2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327,288 194,047 308,556 114,509 137,499 96,942 40,557 15.0 507,267 30.7Des Moines-West Des Moines, IA. . . . . . . . . . . . . . . . . . . . . . 74,836 35,488 66,475 30,987 37,953 10,372 27,581 15.5 65,048 15.6Detroit-Warren-Livonia, MI. . . . . . . . . . . . . . . . . . . . . . . . . . –27,448 168,582 486,819 318,237 –237,573 94,741 –332,314 –0.6 203,858 4.8

Detroit-Livonia-Dearborn, MI . . . . . . . . . . . . . . . . . . . . . . . . –111,232 78,057 236,287 158,230 –237,155 43,346 –280,501 –5.4 –50,525 –2.4Warren-Troy-Farmington Hills, MI . . . . . . . . . . . . . . . . . . . . 83,784 90,525 250,532 160,007 –418 51,395 –51,813 3.5 254,383 11.9

Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,102 3,208 14,985 11,777 7,617 470 7,147 7.7 10,509 8.7Dover, DE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,713 7,714 17,208 9,494 21,703 593 21,110 22.7 15,704 14.1Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,568 3,073 9,914 6,841 417 774 –357 4.0 2,740 3.2Duluth, MN-WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –914 917 24,793 23,876 –499 817 –1,316 –0.3 6,256 2.3Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,966 26,907 53,927 27,020 41,000 22,731 18,269 15.6 81,848 23.7Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,405 5,502 15,538 10,036 5,671 566 5,105 7.0 10,794 7.8

El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,611 16,624 24,252 7,628 5,722 7,996 –2,274 15.2 33,058 30.2Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,718 6,782 13,859 7,077 –1,523 –9 –1,514 4.4 6,628 6.6Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,346 15,607 27,256 11,649 1,632 6,297 –4,665 8.9 26,593 17.0Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –3,257 1,080 8,724 7,644 –3,903 304 –4,207 –3.6 –4,125 –4.3El Paso, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,440 83,570 118,997 35,427 –17,783 31,436 –49,219 9.2 88,012 14.9Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –1,670 5,541 27,675 22,134 –9,728 2,959 –12,687 –0.6 5,271 1.9

Eugene-Springfield, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,581 6,095 30,254 24,159 19,102 5,076 14,026 7.3 40,047 14.2Evansville, IN-KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,445 8,564 37,307 28,743 540 1,532 –992 2.2 17,957 5.5Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,130 10,378 13,178 2,800 –1,841 –237 –1,604 18.3 5,120 6.6Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,318 11,152 20,830 9,678 11,099 2,556 8,543 12.2 21,071 13.7Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,699 10,067 16,651 6,584 –830 913 –1,743 7.6 22,196 24.2Fayetteville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,497 32,302 51,178 18,876 –11,420 –1,759 –9,661 5.8 39,040 13.1

Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . . . . . . 96,940 30,321 53,783 23,462 66,737 10,537 56,200 27.9 107,581 44.9Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,240 11,542 16,522 4,980 1,481 1,470 11 10.5 19,729 20.4Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –7,358 18,711 51,044 32,333 –23,779 1,210 –24,989 –1.7 5,682 1.3Florence, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,676 5,997 22,995 16,998 1,584 703 881 3.5 16,960 9.6Florence-Muscle Shoals, AL. . . . . . . . . . . . . . . . . . . . . . . . . . 847 238 13,107 12,869 1,286 423 863 0.6 11,623 8.9Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,157 2,189 9,709 7,520 440 767 –327 2.2 7,213 8.0

Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,331 15,866 28,548 12,682 26,838 4,554 22,284 16.4 65,358 35.1Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,800 11,635 34,533 22,898 7,549 3,979 3,570 6.5 39,092 16.7Fort Walton Beach-Crestview-Destin, FL . . . . . . . . . . . . . . . . . 9,196 9,779 21,396 11,617 334 –550 884 5.4 26,721 18.6Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,998 24,145 50,298 26,153 –1,186 5,705 –6,891 5.4 35,721 10.1Fresno, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109,746 81,472 129,709 48,237 32,228 34,759 –2,531 13.7 131,917 19.8Gadsden, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –156 –471 10,566 11,037 761 618 143 –0.2 3,619 3.6

Gainesville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,159 9,053 23,401 14,348 18,446 6,103 12,343 11.3 41,129 21.5Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,499 15,984 25,009 9,025 29,446 12,091 17,355 32.7 43,843 45.9Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,430 693 10,640 9,947 4,278 280 3,998 3.6 5,806 4.9Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342 5,808 14,536 8,728 –4,827 1,322 –6,149 0.3 8,663 8.3Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –199 3,958 10,459 6,501 –3,670 609 –4,279 –0.2 –5,794 –5.6Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,236 4,449 14,518 10,069 22,370 895 21,475 22.4 23,110 24.8

Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . . . . . . 36,343 50,935 95,771 44,836 –10,921 15,998 –26,919 4.9 94,564 14.6Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,669 2,973 9,214 6,241 –3,550 –243 –3,307 2.1 2,666 3.4Greeley, CO2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,918 21,126 31,311 10,185 48,261 6,495 41,766 38.1 49,115 37.3Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,436 15,442 32,829 17,387 6,514 3,562 2,952 7.2 38,901 16.0Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . . . . . . 62,235 26,796 74,170 47,374 38,576 20,290 18,286 9.7 103,400 19.1Greenville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24,065 9,077 19,426 10,349 15,769 2,803 12,966 15.8 28,908 23.3








to April 1, 2000

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migrationtotal

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Greenville-Mauldin-Easley, SC . . . . . . . . . . . . . . . . . . . . . . . . 64,793 23,341 64,960 41,619 44,062 11,492 32,570 11.6 87,785 18.6Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –11,572 10,599 29,532 18,933 –20,103 339 –20,442 –4.7 38,315 18.4Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . . . . . . 40,982 7,502 25,803 18,301 34,327 696 33,631 18.4 29,997 15.6Hanford-Corcoran, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,057 13,956 20,336 6,380 6,654 3,646 3,008 15.5 27,992 27.6Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,024 10,447 50,676 40,229 14,340 5,499 8,841 4.3 34,832 7.3Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,240 4,753 11,757 7,004 4,931 2,918 2,013 9.5 20,004 22.7

Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . . . . . . 41,892 30,664 113,470 82,806 17,409 28,219 –10,810 3.6 24,940 2.2Hattiesburg, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,969 7,262 16,671 9,409 10,379 798 9,581 13.7 14,209 13.0Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . . . . . . 21,216 10,132 36,887 26,755 11,990 6,992 4,998 6.2 49,446 16.9Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . . . . . . –1,971 9,612 12,495 2,883 –11,309 –680 –10,629 –2.7 12,967 22.0Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,050 17,421 29,765 12,344 5,818 2,522 3,296 9.3 50,546 26.9Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,876 57,049 108,778 51,729 –24,586 23,295 –47,881 3.3 39,925 4.8

Hot Springs, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,397 –1,281 9,144 10,425 10,930 468 10,462 10.7 14,671 20.0Houma-Bayou Cane-Thibodaux, LA . . . . . . . . . . . . . . . . . . . . 6,671 10,652 23,989 13,337 –2,560 802 –3,362 3.4 11,635 6.4Houston-Sugar Land-Baytown, TX . . . . . . . . . . . . . . . . . . . . . 1,012,726 487,636 739,976 252,340 468,210 277,023 191,187 21.5 948,174 25.2Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . . . . . . –4,417 174 28,050 27,876 –3,044 543 –3,587 –1.5 460 0.2Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,017 14,611 38,493 23,882 37,939 3,610 34,329 15.5 49,329 16.8Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,318 11,371 17,575 6,204 10,565 1,049 9,516 21.0 12,927 14.6

Indianapolis-Carmel, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190,356 103,988 208,160 104,172 85,896 21,524 64,372 12.5 230,887 17.8Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,761 8,845 15,029 6,184 8,400 3,834 4,566 13.5 15,945 13.8Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,634 2,664 7,467 4,803 2,534 5,009 –2,475 4.8 2,404 2.6Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,758 4,744 17,157 12,413 –2,250 721 –2,971 1.1 8,666 5.8Jackson, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,085 29,675 66,408 36,733 13,373 1,923 11,450 8.1 50,256 11.2Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,320 4,095 12,677 8,582 1,727 1,040 687 5.0 16,576 18.3

Jacksonville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190,478 60,127 145,069 84,942 134,985 11,953 123,032 17.0 197,537 21.4Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,583 20,818 27,402 6,584 –4,784 –4,604 –180 10.4 517 0.3Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,906 6,209 17,122 10,913 2,485 1,951 534 5.2 12,797 9.2Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,310 5,709 15,439 9,730 1,329 892 437 4.5 19,348 16.0Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,244 461 17,622 17,161 14,599 908 13,691 7.8 21,238 13.2Johnstown, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –8,279 –3,263 12,363 15,626 –4,216 314 –4,530 –5.4 –10,464 –6.4

Jonesboro, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,599 4,206 13,395 9,189 5,982 936 5,046 8.9 14,142 15.1Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,611 7,589 20,875 13,286 8,833 1,369 7,464 9.9 22,412 16.6Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,847 13,495 34,745 21,250 –3,032 4,177 –7,209 2.8 21,395 7.3Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,691 3,994 12,944 8,950 3,811 1,007 2,804 8.4 7,578 7.9Kansas City, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165,622 114,645 240,478 125,833 54,043 29,945 24,098 9.0 199,511 12.2Kennewick-Pasco-Richland, WA . . . . . . . . . . . . . . . . . . . . . . . 44,016 18,787 29,665 10,878 26,063 7,909 18,154 22.9 41,789 27.9

Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . . . . . 48,223 37,595 55,711 18,116 9,878 –1,635 11,513 14.6 61,894 23.0Kingsport-Bristol-Bristol, TN-VA . . . . . . . . . . . . . . . . . . . . . . . 6,203 –2,069 26,751 28,820 9,591 928 8,663 2.1 22,806 8.3Kingston, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,921 2,294 15,045 12,751 2,446 1,494 952 2.2 12,445 7.5Knoxville, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,076 14,089 65,882 51,793 57,722 4,606 53,116 12.2 81,162 15.2Kokomo, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –2,237 2,483 11,062 8,579 –4,272 436 –4,708 –2.2 4,595 4.7La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,034 3,504 12,377 8,873 2,234 517 1,717 4.0 10,437 9.0

Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,329 9,388 19,949 10,561 5,887 6,838 –951 8.0 19,693 12.4Lafayette, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,167 15,186 30,777 15,591 6,522 1,745 4,777 8.4 30,227 14.5Lake Charles, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –709 8,215 23,399 15,184 –7,705 615 –8,320 –0.4 16,174 9.1Lake Havasu City-Kingman, AZ . . . . . . . . . . . . . . . . . . . . . . . 41,249 93 18,451 18,358 41,598 2,218 39,380 26.6 61,535 65.8Lakeland-Winter Haven, FL . . . . . . . . . . . . . . . . . . . . . . . . . . 96,670 17,081 62,296 45,215 81,338 9,198 72,140 20.0 78,542 19.4Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,712 20,577 56,667 36,090 13,760 4,079 9,681 6.7 47,836 11.3Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,214 21,087 47,263 26,176 –13,015 8,989 –22,004 1.4 15,044 3.5

Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,824 40,817 49,398 8,581 4,021 12,099 –8,078 22.7 59,878 44.9Las Cruces, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,921 16,945 26,955 10,010 10,816 5,407 5,409 15.4 39,172 28.9Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 490,211 116,692 215,803 99,111 380,112 68,427 311,685 35.6 634,397 85.6Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,786 5,717 10,310 4,593 4,584 2,401 2,183 14.8 18,164 22.2Lawton, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –3,226 8,697 15,999 7,302 –11,408 –1,277 –10,131 –2.9 3,510 3.1Lebanon, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,608 1,747 12,571 10,824 7,446 960 6,486 7.2 6,583 5.8

Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,434 732 5,896 5,164 2,073 164 1,909 4.2 6,602 12.9Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,084 2,326 10,839 8,513 1,248 402 846 3.0 –1,466 –1.4Lexington-Fayette, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,098 22,862 49,777 26,915 24,352 9,441 14,911 11.0 59,898 17.2Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –3,305 3,394 12,181 8,787 –6,319 208 –6,527 –3.0 –1,282 –1.2Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,699 19,523 34,909 15,386 10,484 6,872 3,612 10.8 37,696 16.5Little Rock-North Little Rock-Conway, AR . . . . . . . . . . . . . . . . . 64,555 32,420 77,639 45,219 32,684 3,748 28,936 10.6 75,575 14.1

Logan, UT-ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,350 17,749 21,958 4,209 –569 2,883 –3,452 21.8 23,305 29.3Longview, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,704 7,166 24,751 17,585 4,567 2,807 1,760 5.5 13,989 7.8Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,306 2,437 10,420 7,983 6,412 995 5,417 8.9 10,829 13.2Los Angeles-Long Beach-Santa Ana, CA . . . . . . . . . . . . . . . 507,184 983,292 1,620,764 637,472 –420,191 846,603 –1,266,794 4.1 1,091,907 9.7

Los Angeles-Long Beach-Glendale, CA . . . . . . . . . . . . . . . . 342,718 754,765 1,251,484 496,719 –368,343 662,230 –1,030,573 3.6 656,286 7.4Santa Ana-Anaheim-Irvine, CA . . . . . . . . . . . . . . . . . . . . . . 164,466 228,527 369,280 140,753 –51,848 184,373 –236,221 5.8 435,621 18.1

Louisville/Jefferson County, KY-IN . . . . . . . . . . . . . . . . . . . . . . 82,282 42,903 133,624 90,721 41,438 12,133 29,305 7.1 105,819 10.0Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,910 17,137 34,249 17,112 3,807 2,020 1,787 8.4 19,760 8.6Lynchburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,193 3,249 22,113 18,864 15,312 1,430 13,882 7.5 22,390 10.9Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,392 8,959 27,643 18,684 376 1,238 –862 3.8 15,582 7.5Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25,224 11,890 19,537 7,647 14,075 6,087 7,988 20.5 35,019 39.8Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,732 29,128 56,627 27,499 33,030 12,943 20,087 11.9 69,451 16.1








to April 1, 2000

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change1

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Netinter-

nationalmigration


Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,199 18,594 41,659 23,065 4,459 8,886 –4,427 5.6 45,003 13.4Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –3,853 3,073 13,208 10,135 –6,288 347 –6,635 –3.0 2,715 2.2McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . . . . . . 157,141 109,678 135,825 26,147 50,702 34,780 15,922 27.6 185,918 48.5Medford, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,863 2,250 18,179 15,929 18,571 1,884 16,687 11.0 34,882 23.8Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,536 74,286 162,183 87,897 11,303 13,479 –2,176 6.7 137,941 12.9Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,571 23,756 35,808 12,052 12,775 9,353 3,422 16.9 32,151 18.0

Miami-Fort Lauderdale-Pompano Beach, FL . . . . . . . . . . . . . 406,780 177,813 573,305 395,492 216,617 439,413 –222,796 8.1 951,336 23.5Fort Lauderdale-Pompano Beach-Deerfield Beach, FL . . . . . . 128,218 56,296 185,675 129,379 70,124 109,167 –39,043 7.9 367,487 29.3Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . . . . . . . 144,459 113,195 266,889 153,694 15,696 275,767 –260,071 6.4 316,168 16.3West Palm Beach-Boca Raton-Boynton Beach, FL . . . . . . . . . 134,103 8,322 120,741 112,419 130,797 54,479 76,318 11.9 267,681 31.0

Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . 782 2,598 11,281 8,683 –1,380 672 –2,052 0.7 3,040 2.8Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,485 8,571 16,163 7,592 5,557 1,337 4,220 11.6 9,398 8.8

Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . . . . . . 48,565 72,075 178,051 105,976 –49,512 24,674 –74,186 3.2 68,592 4.8Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . . . . . . 261,060 221,155 377,574 156,419 52,819 75,425 –22,606 8.8 430,030 16.9Missoula, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,521 4,295 9,935 5,640 7,651 552 7,099 12.0 17,115 21.8Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,466 16,545 48,938 32,393 –7,891 3,194 –11,085 1.6 21,200 5.6Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,696 37,268 67,427 30,159 28,174 15,478 12,696 14.2 76,475 20.6Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,690 8,189 21,749 13,560 –4,671 408 –5,079 1.6 7,066 4.3

Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,004 4,529 14,513 9,984 3,165 763 2,402 4.8 12,345 9.2Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,402 16,472 42,856 26,384 4,452 718 3,734 5.6 41,353 13.6Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,305 2,276 10,145 7,869 5,558 1,658 3,900 6.6 6,654 6.4Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,833 2,768 13,699 10,931 10,558 2,735 7,823 10.4 22,490 22.4Mount Vernon-Anacortes, WA . . . . . . . . . . . . . . . . . . . . . . . . 15,025 3,621 11,959 8,338 11,978 2,724 9,254 14.6 23,434 29.5Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –4,084 1,294 10,952 9,658 –4,880 900 –5,780 –3.4 –890 –0.7

Muskegon-Norton Shores, MI. . . . . . . . . . . . . . . . . . . . . . . . . 4,144 6,546 19,620 13,074 –1,531 762 –2,293 2.4 11,217 7.1Myrtle Beach-North Myrtle Beach-Conway, SC . . . . . . . . . . . . . 60,720 6,239 23,683 17,444 55,518 3,026 52,492 30.9 52,576 36.5Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,154 3,281 13,544 10,263 6,487 5,828 659 7.4 13,514 12.2Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,881 10,338 31,465 21,127 54,529 16,979 37,550 25.4 99,278 65.3Nashville-Davidson—Murfreesboro—Franklin, TN . . . . . . . . . . . 238,944 80,195 171,872 91,677 138,753 26,400 112,353 18.2 263,573 25.1New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,093 22,309 85,133 62,824 4,157 22,249 –18,092 2.7 19,789 2.5

New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . . . . . . –182,483 43,318 139,142 95,824 –298,022 10,561 –308,583 –13.9 52,127 4.1New York-Northern New Jersey-Long Island, NY-NJ-PA . . . . . 683,407 954,511 2,120,365 1,165,854 –687,286 1,145,381 –1,832,667 3.7 1,476,956 8.8

Edison-New Brunswick, NJ. . . . . . . . . . . . . . . . . . . . . . . . . 151,350 83,142 245,653 162,511 62,406 91,954 –29,548 7.0 275,517 14.5Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109,936 103,990 287,839 183,849 –90,123 65,286 –155,409 4.0 144,701 5.5Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,552 101,212 237,102 135,890 –65,730 99,218 –164,948 1.1 138,988 7.1New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . . . . . . 398,569 666,167 1,349,771 683,604 –593,839 888,923 –1,482,762 3.5 917,750 8.8

Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . –2,974 4,214 17,370 13,156 –6,511 2,463 –8,974 –1.8 1,075 0.7Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,413 7,820 25,897 18,077 –1,332 2,084 –3,416 2.1 4,131 1.6Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,714 –4,714 27,115 31,829 77,054 2,575 74,479 27.3 64,081 32.9Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –6,488 –2,453 8,050 10,503 –3,339 412 –3,751 –6.3 7,237 7.6Odessa, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,818 10,476 19,205 8,729 933 1,538 –605 8.9 2,189 1.8Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,832 58,884 80,772 21,888 24,202 6,086 18,116 20.1 90,857 25.8

Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110,720 64,277 145,790 81,513 52,226 20,568 31,658 10.1 124,379 12.8Olympia, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,828 8,049 22,005 13,956 31,039 2,081 28,958 18.2 46,117 28.6Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . . . . . . 70,781 57,715 106,768 49,053 17,066 11,864 5,202 9.2 81,244 11.8Orlando-Kissimmee, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410,027 103,380 219,103 115,723 312,114 74,911 237,203 24.9 419,717 34.3Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,348 4,989 15,423 10,434 1,205 1,309 –104 3.4 16,443 11.7Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,887 3,953 12,986 9,033 –567 317 –884 2.6 5,194 5.0

Oxnard-Thousand Oaks-Ventura, CA. . . . . . . . . . . . . . . . . . . . 44,554 58,539 98,672 40,133 –10,080 28,125 –38,205 5.9 84,181 12.6Palm Bay-Melbourne-Titusville, FL . . . . . . . . . . . . . . . . . . . . . 60,291 –2,922 43,128 46,050 65,142 4,451 60,691 12.7 77,252 19.4Palm Coast, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,415 –889 5,418 6,307 42,501 520 41,981 83.1 21,131 73.6Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . . . . . 15,728 5,885 18,027 12,142 10,526 251 10,275 10.6 21,223 16.7Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . . . . . . –3,942 203 15,062 14,859 –3,425 167 –3,592 –2.4 2,717 1.7Pascagoula, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,536 6,902 18,262 11,360 –3,148 722 –3,870 1.7 18,648 14.1Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . . . . . . 40,839 15,756 47,795 32,039 26,763 581 26,182 9.9 67,747 19.7

Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,609 10,563 40,765 30,202 –3,402 2,190 –5,592 1.5 8,347 2.3Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . . . . 151,321 185,249 625,765 440,516 –12,267 99,825 –112,092 2.7 251,597 4.6

Camden, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,568 40,227 127,207 86,980 22,603 13,463 9,140 5.4 59,027 5.2Philadelphia, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,550 114,945 423,025 308,080 –53,317 74,177 –127,494 1.1 120,656 3.2Wilmington, DE-MD-NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,203 30,077 75,533 45,456 18,447 12,185 6,262 6.9 71,914 12.4

Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . . . . . 1,030,012 319,304 532,233 212,929 717,353 175,252 542,101 31.7 1,013,378 45.3

Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –6,699 2,790 11,728 8,938 –8,927 443 –9,370 –6.2 383 0.4Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –79,896 –26,369 205,465 231,834 –41,809 16,119 –57,928 –3.3 –37,202 –1.5Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –5,558 –2,265 10,390 12,655 –2,702 965 –3,667 –4.1 –4,399 –3.2Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,392 7,832 13,028 5,196 –4,674 689 –5,363 6.5 9,991 13.7Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . . . . . . 26,499 10,348 45,871 35,523 18,232 2,987 15,245 5.4 46,311 10.5Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . . . . . . 279,579 115,873 237,943 122,070 174,888 71,443 103,445 14.5 404,140 26.5

Port St. Lucie, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,342 213 34,139 33,926 84,926 6,673 78,253 26.4 68,355 27.2Poughkeepsie-Newburgh-Middletown, NY . . . . . . . . . . . . . . . . 51,010 30,472 69,395 38,923 23,251 10,073 13,178 8.2 54,408 9.6Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,986 –764 17,090 17,854 49,497 2,411 47,086 28.6 59,803 55.5Providence-New Bedford-Fall River, RI-MA. . . . . . . . . . . . . . . . 13,614 36,972 158,497 121,525 –15,560 30,944 –46,504 0.9 73,208 4.8Provo-Orem, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164,042 79,207 93,909 14,702 35,401 10,175 25,226 43.5 107,367 39.9Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,265 4,750 16,880 12,130 11,034 1,248 9,786 10.8 18,421 15.0








to April 1, 2000

Number

Percent-age

change Number

Percent-age

change

Totalpopulation

change1

Natural increaseNet

migrationtotal

Netinter-

nationalmigration


Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,433 –8,950 8,991 17,941 19,370 1,277 18,093 6.0 30,652 27.6Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,677 8,865 21,471 12,606 –1,419 1,952 –3,371 5.7 13,797 7.9Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291,700 80,996 122,715 41,719 207,304 35,372 171,932 36.6 253,051 46.5Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,704 8,355 15,525 7,170 1,880 93 1,787 8.6 9,597 9.3Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29,957 11,253 40,946 29,693 20,288 5,062 15,226 8.0 37,115 11.0Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,958 1,902 17,187 15,285 15,630 867 14,763 10.4 16,220 11.0

Reno-Sparks, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,899 21,982 45,956 23,974 51,550 12,772 38,778 21.0 85,692 33.3Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128,679 47,286 127,989 80,703 87,233 13,480 73,753 11.7 147,713 15.6Riverside-San Bernardino-Ontario, CA. . . . . . . . . . . . . . . . . . . 861,054 301,360 511,875 210,515 572,742 100,441 472,301 26.5 666,028 25.7Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,859 1,807 28,086 26,279 9,626 2,320 7,306 3.4 19,796 7.4Rochester, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,307 12,608 21,844 9,236 7,535 4,791 2,744 11.8 21,673 15.3Rochester, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –3,746 27,483 100,641 73,158 –26,879 14,229 –41,108 –0.4 35,421 3.5

Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,188 15,720 39,083 23,363 16,284 6,873 9,411 10.7 36,485 12.9Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,365 4,089 16,485 12,396 289 1,444 –1,155 2.4 9,657 7.2Rome, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,415 3,408 11,581 8,173 2,484 1,792 692 6.0 9,314 11.5Sacramento—Arden-Arcade—Roseville, CA . . . . . . . . . . . . . . . 312,980 116,975 235,886 118,911 204,283 66,092 138,191 17.4 315,637 21.3Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . . . . . . –9,297 4,937 21,938 17,001 –13,439 1,064 –14,503 –4.4 –1,907 –0.9St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,563 11,201 20,318 9,117 4,510 1,220 3,290 11.7 17,883 12.0

St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,235 12,645 19,198 6,553 35,542 1,195 34,347 52.3 41,794 86.1St. Joseph, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,539 2,315 12,923 10,608 –1,767 250 –2,017 2.1 6,520 5.6St. Louis, MO-IL3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118,046 95,501 302,746 207,245 –13,665 27,722 –41,387 4.4 117,967 4.6Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,463 21,015 45,818 24,803 25,482 13,354 12,128 12.8 69,190 24.9Salinas, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,477 40,826 60,466 19,640 –32,383 28,095 –60,478 1.6 46,102 13.0Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,774 3,189 12,289 9,100 8,243 1,254 6,989 9.8 11,612 11.9

Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146,809 121,523 167,540 46,017 8,093 41,211 –33,118 15.2 200,783 26.1San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,782 5,226 13,451 8,225 –921 409 –1,330 3.6 5,694 5.7San Antonio, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319,728 141,000 250,743 109,743 186,775 30,640 156,135 18.7 303,958 21.6San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . . . . . . 187,238 213,102 375,661 162,559 –9,922 104,394 –114,316 6.7 315,817 12.6Sandusky, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –2,489 632 7,444 6,812 –2,825 177 –3,002 –3.1 2,772 3.6

San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . . . . . . 150,784 220,317 461,503 241,186 –93,473 259,694 –353,167 3.7 439,628 11.9Oakland-Fremont-Hayward, CA. . . . . . . . . . . . . . . . . . . . . . 111,510 149,860 285,756 135,896 –28,330 140,500 –168,830 4.7 312,123 15.0San Francisco-San Mateo-Redwood City, CA . . . . . . . . . . . . 39,274 70,457 175,747 105,290 –65,143 119,194 –184,337 2.3 127,505 8.0

San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . . . . . . 83,380 154,345 229,323 74,978 –65,195 169,164 –234,359 4.8 201,545 13.1San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . . . . . . 18,616 4,898 21,901 17,003 14,778 4,137 10,641 7.5 29,519 13.6Santa Barbara-Santa Maria-Goleta, CA . . . . . . . . . . . . . . . . . . 6,040 25,537 49,418 23,881 –17,513 18,695 –36,208 1.5 29,739 8.0

Santa Cruz-Watsonville, CA. . . . . . . . . . . . . . . . . . . . . . . . . . –2,463 14,958 28,465 13,507 –16,544 10,193 –26,737 –1.0 25,868 11.3Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,642 6,349 13,478 7,129 8,930 5,065 3,865 11.3 30,364 30.7Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . 8,125 16,553 47,865 31,312 –6,501 16,573 –23,074 1.8 70,392 18.1Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,051 17,316 39,666 22,350 25,110 2,711 22,399 14.0 35,101 13.6Scranton—Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . . . . –11,481 –14,201 46,580 60,781 5,173 2,023 3,150 –2.0 –14,697 –2.6

Seattle-Tacoma-Bellevue, WA . . . . . . . . . . . . . . . . . . . . . . . 300,916 172,004 346,560 174,556 129,605 108,165 21,440 9.9 484,742 18.9Seattle-Bellevue-Everett, WA . . . . . . . . . . . . . . . . . . . . . . . 216,096 130,980 260,473 129,493 82,866 98,123 –15,257 9.2 370,125 18.8Tacoma, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,820 41,024 86,087 45,063 46,739 10,042 36,697 12.1 114,617 19.6

Sebastian-Vero Beach, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . 19,372 –3,351 10,491 13,842 23,160 2,041 21,119 17.2 22,739 25.2Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,905 2,658 11,260 8,602 –218 1,192 –1,410 1.7 8,769 8.4Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,209 2,985 13,223 10,238 5,721 1,609 4,112 7.4 15,576 16.4Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . . . . . . 13,562 16,053 47,117 31,064 –675 612 –1,287 3.6 16,278 4.5

Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104 8,478 18,693 10,215 –7,755 4,021 –11,776 0.1 11,703 8.9Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,835 15,054 27,279 12,225 25,062 3,144 21,918 24.5 33,593 21.9South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . . . . 204 12,294 36,071 23,777 –10,479 4,544 –15,023 0.1 20,134 6.8Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,956 7,493 29,014 21,521 20,802 3,308 17,494 10.6 26,998 11.9Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,738 16,613 47,077 30,464 30,394 5,376 25,018 10.7 56,606 15.7Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,945 6,193 22,276 16,083 –1,181 695 –1,876 3.0 11,887 6.3

Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,542 11,515 63,864 52,349 –631 14,285 –14,916 1.1 7,044 1.0Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,769 15,377 44,848 29,471 44,133 1,513 42,620 15.7 69,556 23.3Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –4,879 1,715 15,114 13,399 –6,077 209 –6,286 –3.4 –2,806 –1.9State College, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,019 3,415 10,747 7,332 6,212 4,592 1,620 6.6 10,946 8.8Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108,785 51,692 89,653 37,961 59,160 22,173 36,987 19.3 82,970 17.3Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –488 5,770 13,672 7,902 –5,796 –34 –5,762 –0.5 3,370 3.3

Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –6,360 17,664 64,170 46,506 –20,688 7,702 –28,390 –1.0 –9,770 –1.5Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,950 16,020 35,587 19,567 22,413 4,244 18,169 11.5 61,197 23.6Tampa-St. Petersburg-Clearwater, FL . . . . . . . . . . . . . . . . . . . 337,750 20,061 257,486 237,425 328,419 62,273 266,146 14.1 328,038 15.9Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –721 1,559 17,405 15,846 –1,368 881 –2,249 –0.4 4,365 2.6Texarkana, TX-Texarkana, AR . . . . . . . . . . . . . . . . . . . . . . . . 5,760 3,387 14,440 11,053 3,066 524 2,542 4.4 9,617 8.0Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –10,081 21,614 72,212 50,598 –28,709 4,602 –33,311 –1.5 5,031 0.8

Topeka, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,070 8,103 26,253 18,150 –1,836 1,548 –3,384 2.3 14,294 6.8Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,122 14,418 38,079 23,661 1,718 15,978 –14,260 4.0 24,937 7.7Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168,276 43,994 108,142 64,148 96,941 22,676 74,265 19.9 176,789 26.5Tulsa, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,546 42,851 110,129 67,278 17,796 13,160 4,636 6.6 98,513 12.9Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,660 6,823 21,697 14,874 7,816 1,691 6,125 7.1 15,861 9.0Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,571 9,973 23,922 13,949 17,469 4,080 13,389 15.2 23,397 15.5








to April 1, 2000

Number

Percent-age

change Number

Percent-age

change

Totalpopulation

change1

Natural increaseNet

migrationtotal

Netinter-

nationalmigration


Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –6,106 241 26,850 26,609 –5,075 5,440 –10,515 –2.0 –16,749 –5.3Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,782 7,804 16,141 8,337 6,665 679 5,986 11.5 20,316 20.5Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,970 25,626 47,885 22,259 –10,705 10,749 –21,454 3.3 55,071 16.2Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,645 6,482 14,480 7,998 –3,348 1,478 –4,826 2.4 12,269 12.3Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . . . . 10,396 6,657 18,777 12,120 4,449 3,628 821 7.1 8,385 6.1

Virginia Beach-Norfolk-Newport News, VA-NC. . . . . . . . . . . . . . 81,376 95,626 196,514 100,888 –10,461 –1,171 –9,290 5.2 125,515 8.7Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,255 42,963 65,432 22,469 17,165 17,160 5 15.8 56,100 18.0Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,694 11,490 27,861 16,371 6,309 4,328 1,981 7.8 24,394 12.9Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,396 8,232 15,300 7,068 14,524 286 14,238 20.2 21,557 24.2Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . . . . 562,065 386,929 637,362 250,433 137,771 255,632 –117,861 11.7 673,924 16.3

Bethesda-Frederick-Gaithersburg, MD . . . . . . . . . . . . . . . . . 107,784 78,460 135,008 56,548 15,931 68,605 –52,674 10.1 161,383 17.8Washington-Arlington-Alexandria, DC-VA-MD-WV. . . . . . . . . . 454,281 308,469 502,354 193,885 121,840 187,027 –65,187 12.2 512,541 15.9

Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 513 4,885 16,948 12,063 –3,642 2,873 –6,515 0.3 5,066 3.2Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,126 5,177 13,120 7,943 549 734 –185 4.1 10,434 9.0Weirton-Steubenville, WV-OH. . . . . . . . . . . . . . . . . . . . . . . . . –9,954 –3,638 10,673 14,311 –5,674 132 –5,806 –7.5 –10,515 –7.4Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,977 4,776 11,752 6,976 4,912 3,185 1,727 9.0 20,764 26.5Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –8,331 –2,907 12,531 15,438 –4,636 254 –4,890 –5.4 –6,129 –3.8Wichita, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,545 36,315 77,059 40,744 –987 9,955 –10,942 5.7 60,055 11.7

Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –4,196 5,354 17,392 12,038 –8,743 346 –9,089 –2.8 11,149 7.9Williamsport, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . –3,378 849 11,075 10,226 –3,684 101 –3,785 –2.8 1,334 1.1Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,460 8,537 30,711 22,174 64,945 3,179 61,766 26.4 74,408 37.2Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,373 4,997 12,680 7,683 14,835 1,271 13,564 18.8 18,829 22.4Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,161 18,575 50,976 32,401 29,795 11,640 18,155 10.9 60,513 16.7Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,833 27,018 82,475 55,457 10,607 19,219 –8,612 4.5 41,258 5.8

Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,985 20,474 34,864 14,390 –7,579 7,955 –15,534 5.4 33,758 17.9York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,830 12,639 40,585 27,946 31,814 2,238 29,576 11.2 42,177 12.4Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . . . . . . –37,016 –3,149 53,376 56,525 –31,002 1,508 –32,510 –6.1 –10,658 –1.7Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,125 11,507 21,688 10,181 15,248 5,164 10,084 18.8 16,506 13.5Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,296 17,113 26,684 9,571 17,970 7,367 10,603 21.4 53,131 49.7

1Includes residual not shown separately.2The 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,




Survey, Census, or Data Collection Method: Based on the Census of Population and Housing and, for population estimates, the ‘‘component of population change method’’; for more information,see Appendix B, Limitations of the Data and Methodology, and Internet sites <http://www.census.gov/prod/cen2000/doc/sf1.pdf> and <http://www.census.gov/popest/topics/methodology/>.

Sources: U.S. Census Bureau, Population Estimates, ‘‘Population Estimates, Cumulative Estimates of the Components of Resident Population Change for Counties: April 1, 2000 to July 1,2008,’’ released March 19, 2009 (related Internet site <http://www.census.gov/popest/counties/CO-EST2008-04.html>). For 1990, archive 1990 to 1999, ‘‘County Population Estimates for July 1, 1999and Population Change for April 1, 1990 to July 1, 1999,’’ released March 9, 2000 (related Internet site <http://www.census.gov/popest/archives/1990s/CO-99-02.html>).


Table B–3. Metropolitan Areas — Population by Age, Race, and Sex



Population characteristics, 2008

Age (percentage) One race (percentage)

His-panic

orLatino

ori-gin,1(per-cent-age)

Malesper100

females

Under5

years

5 to14

years

15 to24

years

25 to34

years

35 to44

years

45 to54

years

55 to64

years

65 to74

years

75 to84

years

85years

andover

Whitealone

Blackor

Afri-can

Ameri-can

aloneAsianalone

Ameri-can

Indianand

AlaskaNativealone

NativeHawai-

ianand

OtherPacific

Islanderalone

Abilene, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.5 13.1 16.8 13.3 12.3 13.3 9.6 7.1 4.7 2.2 89.0 7.1 1.3 0.8 0.1 20.2 99.8Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.9 12.8 14.4 12.2 13.5 15.7 11.9 6.9 4.7 1.9 84.8 11.9 1.8 0.2 (Z) 1.2 94.1Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.1 14.2 15.6 13.0 12.7 14.0 11.3 6.5 3.9 1.6 48.0 50.0 0.9 0.3 (Z) 1.6 90.3Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . . . 5.5 11.6 15.2 13.2 13.7 15.2 12.1 6.7 4.8 2.2 87.6 7.6 3.0 0.3 (Z) 3.4 95.5Albuquerque, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.4 13.5 13.8 14.3 13.3 14.3 11.2 6.4 4.0 1.7 85.8 3.7 2.0 6.2 0.2 44.6 96.9Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.2 14.0 13.4 13.8 12.7 14.2 11.1 7.3 4.5 1.8 68.5 28.8 0.9 0.8 (Z) 2.1 93.0

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . . . 6.0 12.4 13.2 12.1 14.1 15.7 11.6 7.0 5.3 2.5 91.4 4.7 2.4 0.2 0.1 11.3 95.6Altoona, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 11.5 12.2 12.7 12.7 15.2 12.6 8.1 6.4 2.8 97.0 1.6 0.5 0.1 (Z) 0.7 93.1Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.0 14.4 14.9 14.4 13.2 13.6 10.1 5.8 3.9 1.7 89.3 6.4 1.9 0.9 0.1 24.0 99.6Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.7 9.8 30.8 15.0 9.7 10.5 8.3 4.9 3.5 1.9 90.6 2.3 5.7 0.2 0.1 2.2 107.0Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.6 13.8 15.0 15.7 14.3 15.9 10.6 4.5 2.0 0.7 75.6 5.8 5.3 7.6 1.0 7.1 105.5Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.2 12.3 12.4 13.0 13.7 14.1 12.4 8.2 5.4 2.3 89.8 8.3 0.5 0.3 (Z) 2.3 99.4

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.6 13.1 12.2 13.2 13.4 14.4 12.5 8.1 4.9 1.8 81.4 16.7 0.7 0.2 (Z) 2.2 93.3Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.0 11.9 20.2 13.8 14.5 13.7 10.5 5.2 3.0 1.2 76.9 12.3 8.2 0.4 (Z) 3.4 100.2Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 12.5 13.9 12.3 12.7 14.6 12.1 8.0 5.2 1.9 77.9 19.9 0.7 0.4 0.1 2.3 92.0Appleton, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 13.6 13.3 13.2 14.8 15.9 10.6 6.0 3.9 1.7 94.5 0.8 2.3 1.3 (Z) 2.7 100.4Asheville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.0 11.5 11.5 12.6 13.4 14.3 12.9 8.8 6.3 2.8 92.5 5.1 0.8 0.4 (Z) 5.1 93.0Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . 6.6 11.7 23.4 15.6 12.4 11.5 9.1 5.3 3.1 1.4 76.9 19.1 2.6 0.2 0.1 6.9 95.8

Atlanta-Sandy Springs-Marietta, GA . . . . . . . . . . . . . . . . . 7.8 14.7 13.1 14.4 16.5 14.8 10.3 4.9 2.4 1.0 62.4 31.5 4.2 0.4 0.1 9.7 97.7Atlantic City-Hammonton, NJ . . . . . . . . . . . . . . . . . . . . . . 6.5 13.0 12.9 12.7 14.8 15.6 10.4 7.2 5.0 2.1 73.7 17.6 6.6 0.3 0.1 14.9 94.6Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.1 12.4 25.1 13.8 12.5 12.3 9.0 5.1 2.7 1.0 73.8 23.2 1.8 0.2 (Z) 2.1 98.1Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . . . 7.1 13.7 14.6 12.8 13.1 14.9 11.6 6.7 4.1 1.5 60.9 35.6 1.6 0.4 0.1 3.1 93.0Austin-Round Rock, TX. . . . . . . . . . . . . . . . . . . . . . . . . . 8.1 14.1 15.2 17.0 15.7 13.5 8.9 4.2 2.4 1.0 85.1 7.8 4.5 0.7 0.1 30.1 104.8Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.1 15.7 16.0 16.8 13.2 12.3 7.9 4.8 3.0 1.2 85.4 6.4 4.0 1.8 0.2 47.1 107.2

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 12.9 14.1 12.8 14.4 15.6 11.5 6.5 4.1 1.7 65.4 28.8 3.9 0.3 0.1 3.3 93.1Bangor, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.6 10.9 15.4 12.3 13.1 16.1 12.7 7.4 4.7 1.7 96.3 0.8 0.9 1.0 (Z) 1.0 95.9Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.3 9.6 10.9 10.8 12.1 15.1 13.2 10.4 9.4 4.2 94.9 2.2 1.0 0.6 (Z) 1.8 89.8Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.1 14.0 16.5 14.3 13.3 14.0 10.5 5.7 3.3 1.3 61.8 35.5 1.6 0.3 (Z) 2.6 96.4Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.6 13.1 13.5 12.7 13.2 14.7 12.0 7.3 4.8 2.1 85.1 10.4 1.6 0.7 (Z) 4.0 94.7Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 12.0 12.8 12.2 12.7 15.8 13.0 7.9 5.2 2.5 95.8 1.6 0.6 0.6 (Z) 4.2 94.6

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . . . 6.8 13.2 14.1 13.7 12.8 14.9 11.1 6.9 4.7 1.9 71.2 25.2 2.1 0.5 (Z) 10.9 100.4Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 11.8 17.6 14.6 12.5 13.5 11.5 6.4 4.4 1.9 89.9 1.1 3.7 2.9 0.2 6.7 97.9Bend, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.4 11.9 11.6 16.0 13.1 14.5 12.4 7.7 4.7 1.8 95.1 0.7 1.1 1.2 0.1 6.5 97.5Billings, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 13.0 12.7 13.0 12.7 15.6 12.2 7.0 4.7 2.2 92.1 1.3 0.8 3.9 0.1 5.0 96.9Binghamton, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.3 11.1 16.0 12.9 11.5 15.3 11.6 7.9 5.7 2.7 91.5 3.8 2.9 0.2 (Z) 2.4 94.8Birmingham-Hoover, AL . . . . . . . . . . . . . . . . . . . . . . . . . 6.9 13.3 13.0 13.2 13.9 14.9 11.8 6.9 4.3 1.8 69.6 28.0 1.1 0.3 (Z) 3.2 93.2

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 11.9 15.3 15.0 11.9 14.7 11.1 6.6 4.8 2.3 93.8 0.6 0.6 4.0 (Z) 1.3 97.3Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . . . 4.8 9.4 27.1 14.2 11.8 11.1 9.7 6.4 3.9 1.5 90.7 4.8 3.0 0.2 (Z) 1.7 104.9Bloomington, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.4 10.6 23.2 15.1 12.0 12.2 9.7 6.1 4.0 1.7 92.6 2.5 3.2 0.3 (Z) 1.9 97.4Bloomington-Normal, IL. . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 12.3 21.8 14.5 12.7 13.0 9.1 5.0 3.4 1.5 88.1 7.2 3.0 0.2 (Z) 3.5 94.7Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.2 15.3 12.9 15.5 14.1 13.4 10.2 5.7 3.3 1.5 93.8 1.4 1.7 1.0 0.2 11.7 101.4

Boston-Cambridge-Quincy, MA-NH . . . . . . . . . . . . . . . . 6.0 12.1 14.0 12.8 15.2 15.7 11.5 6.4 4.3 2.0 84.4 7.8 6.0 0.3 0.1 8.1 94.8Boston-Quincy, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.1 11.9 14.8 13.7 15.3 14.9 11.0 6.3 4.1 2.0 79.1 13.0 6.1 0.3 0.1 8.8 94.2Cambridge-Newton-Framingham, MA. . . . . . . . . . . . . . . 5.9 12.0 13.5 12.8 15.5 15.8 11.6 6.6 4.4 2.0 85.4 4.3 8.6 0.2 0.1 5.8 95.6Peabody, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.1 12.9 13.5 11.4 14.1 16.2 12.1 6.7 4.8 2.3 89.5 5.3 3.1 0.3 0.1 14.6 93.5Rockingham County-Strafford County, NH. . . . . . . . . . . . 5.9 12.6 13.6 10.9 15.3 17.6 12.5 6.3 3.7 1.6 96.1 0.9 1.7 0.2 (Z) 1.9 97.0

Boulder, CO2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.0 11.4 16.9 14.2 14.6 16.2 11.9 5.1 2.6 1.0 92.5 1.2 3.8 0.8 0.1 13.4 103.3

Bowling Green, KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 12.5 17.0 15.0 13.1 13.5 10.7 6.4 3.7 1.5 89.3 8.0 1.2 0.3 0.1 3.7 96.5Bradenton-Sarasota-Venice, FL . . . . . . . . . . . . . . . . . . . . 5.2 10.0 9.6 11.2 11.4 13.1 12.6 11.3 10.3 5.3 90.5 6.7 1.3 0.3 0.1 10.1 93.5Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . . . 6.1 12.7 13.7 12.8 13.2 15.8 13.3 6.9 4.0 1.6 85.8 2.8 4.6 1.7 0.8 4.9 102.1Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . . . 6.5 14.0 12.9 10.2 15.0 16.5 11.6 6.8 4.4 2.0 83.3 10.7 4.3 0.3 0.1 15.4 95.7Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . . . 11.0 17.9 15.7 12.8 12.0 10.8 8.3 5.5 4.2 1.8 96.9 1.2 0.6 0.6 0.1 86.3 92.0Brunswick, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.9 13.5 12.9 13.4 12.9 14.4 11.8 7.8 4.7 1.7 74.5 23.3 0.7 0.3 0.1 4.0 94.1

Buffalo-Niagara Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . 5.3 11.9 15.0 11.8 12.7 15.8 12.0 7.4 5.6 2.6 84.0 12.2 1.7 0.8 (Z) 3.5 93.1Burlington, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 13.0 14.0 12.7 14.4 14.1 11.2 7.0 4.8 2.0 78.5 18.7 1.2 0.5 (Z) 11.3 93.4Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . . . 5.6 12.2 15.8 12.0 14.7 16.7 12.0 6.1 3.5 1.4 94.7 1.4 2.0 0.5 (Z) 1.6 96.8Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . 5.9 12.5 12.8 12.1 12.7 15.7 12.7 7.8 5.5 2.4 90.6 7.0 0.7 0.3 (Z) 1.2 93.3Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . . . . . . . 6.2 11.2 10.1 13.1 12.1 12.6 11.7 10.7 8.6 3.6 89.0 8.0 1.3 0.4 0.1 17.5 97.8Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 12.4 11.9 12.3 13.5 14.0 12.7 8.3 5.8 2.3 91.2 2.1 2.2 2.4 0.2 20.1 106.7

Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.4 13.2 13.6 14.4 12.2 15.3 11.5 6.3 4.4 1.7 95.1 1.5 0.6 1.3 0.1 6.0 98.8Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 13.4 13.3 13.5 14.1 14.7 11.0 6.7 4.4 2.2 93.3 3.2 1.7 0.4 0.1 2.1 98.0Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . . . 6.1 10.8 25.6 14.9 11.3 11.7 8.6 5.4 3.8 1.7 80.8 10.0 7.1 0.3 (Z) 3.9 102.4Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.1 12.0 10.9 12.4 13.2 15.9 13.7 8.3 5.4 2.1 92.4 5.2 0.9 0.3 (Z) 1.2 93.9Charleston-North Charleston-Summerville, SC . . . . . . . . . . 7.2 13.1 14.9 13.4 13.9 14.5 11.9 6.4 3.4 1.4 67.8 28.6 1.7 0.5 0.1 3.8 95.8Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . . . 7.9 14.2 13.0 14.1 16.0 14.5 10.8 5.4 2.9 1.2 72.1 23.4 2.7 0.5 0.1 8.9 96.5

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.0 11.4 17.5 14.1 13.2 13.6 10.6 7.0 4.8 1.8 81.6 13.2 3.5 0.2 (Z) 3.3 91.8Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.2 12.5 13.0 12.9 13.5 14.9 12.6 7.7 4.8 1.9 83.3 14.1 1.2 0.3 0.1 2.5 93.2Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.6 13.7 13.1 13.5 14.0 14.8 11.1 6.5 3.9 1.8 90.7 4.0 1.4 1.5 0.3 11.7 102.5Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . . . 7.2 14.0 14.1 13.7 14.6 14.7 10.5 5.9 3.6 1.6 75.0 17.9 5.3 0.4 0.1 19.9 97.2

Chicago-Naperville-Joliet, IL . . . . . . . . . . . . . . . . . . . . . 7.3 13.9 14.1 14.0 14.8 14.5 10.4 5.9 3.6 1.6 73.5 19.1 5.7 0.4 0.1 20.8 97.0Gary, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 13.9 13.7 12.6 13.0 15.4 11.8 6.8 4.3 1.8 78.3 19.1 1.1 0.4 0.1 12.3 94.1Lake County-Kenosha County, IL-WI . . . . . . . . . . . . . . . 7.0 15.3 14.4 12.5 14.4 15.8 10.6 5.5 3.2 1.2 86.3 6.7 5.0 0.4 0.1 17.8 100.7



Table B–3. Metropolitan Areas — Population by Age, Race, and Sex—Con.





His-panic

orLatino


Malesper100

females

Under5

years

5 to14

years

15 to24

years

25 to34

years

35 to44

years

45 to54

years

55 to64

years

65 to74

years

75 to84

years

85years

andover

Whitealone

Blackor

Afri-can

Ameri-can

aloneAsianalone

Ameri-can

Indianand

AlaskaNativealone

NativeHawai-

ianand

OtherPacific

Islanderalone

Chico, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 11.2 19.2 14.8 10.8 12.7 10.6 6.9 5.3 2.8 88.8 1.7 4.1 2.2 0.2 12.9 96.7Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . . . 7.0 13.7 13.8 12.9 14.2 15.4 11.0 6.3 4.0 1.7 84.7 12.2 1.7 0.2 (Z) 2.0 95.5Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.3 16.0 14.7 13.8 14.6 13.0 9.4 5.7 3.2 1.2 76.8 18.8 1.5 0.5 0.2 5.4 96.8Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.4 12.6 12.8 14.4 13.7 14.1 11.9 8.1 4.5 1.6 93.8 3.9 0.7 0.3 (Z) 3.2 95.8Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . . . 6.1 13.0 12.9 11.3 13.7 16.1 12.2 7.3 5.0 2.3 76.8 19.8 1.8 0.2 0.1 4.3 92.7Coeur d’Alene, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.4 13.7 12.8 13.6 13.0 14.1 12.0 7.6 4.7 2.0 95.6 0.6 0.7 1.3 0.1 3.6 98.7

College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . . . 7.2 11.8 29.2 15.0 10.7 9.9 7.3 4.6 3.0 1.4 82.6 11.9 3.8 0.4 0.1 20.4 102.8Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . 7.3 14.1 14.0 15.0 14.2 15.2 10.5 5.4 3.1 1.1 85.5 6.8 3.0 1.2 0.3 13.3 99.3Columbia, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.6 11.9 21.5 15.0 12.7 12.9 9.5 5.2 3.1 1.5 86.1 8.6 3.0 0.4 (Z) 2.5 94.3Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 12.9 15.7 12.6 13.9 14.8 12.0 6.3 3.6 1.4 63.0 33.7 1.6 0.4 0.1 3.9 93.9Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.5 14.1 15.2 13.1 13.2 14.1 10.5 6.4 4.2 1.6 54.4 41.7 1.6 0.4 0.2 4.2 92.6Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.1 13.8 11.8 12.4 14.0 14.7 11.9 7.9 4.6 1.8 93.6 2.1 3.0 0.2 0.1 4.3 97.5

Columbus, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.5 13.9 14.0 14.7 15.0 14.6 10.2 5.6 3.3 1.3 80.7 14.2 3.2 0.3 0.1 3.0 97.6Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.7 14.6 14.6 12.7 12.6 14.3 11.0 6.6 4.4 1.7 92.5 3.9 1.4 0.9 0.1 56.3 95.6Corvallis, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.0 9.7 23.7 13.2 10.9 13.7 12.2 6.0 3.9 1.8 89.8 1.1 5.4 1.0 0.3 6.1 100.6Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.9 10.6 15.0 13.2 13.3 13.8 12.2 8.4 5.9 2.6 92.8 5.5 0.6 0.2 (Z) 1.0 101.2Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . 8.4 15.2 13.3 15.6 15.6 14.1 9.5 4.8 2.5 1.0 78.4 14.4 4.8 0.8 0.2 27.5 101.2

Dallas-Plano-Irving, TX . . . . . . . . . . . . . . . . . . . . . . . . 8.4 15.2 13.2 15.8 16.0 14.0 9.3 4.7 2.4 1.0 77.0 15.4 5.3 0.7 0.1 29.1 101.8Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . . . . . 8.3 15.0 13.5 15.3 14.9 14.2 9.8 5.1 2.7 1.1 81.2 12.4 3.7 0.8 0.2 24.1 100.0

Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.2 15.8 11.9 14.2 14.5 13.5 10.5 6.2 3.1 1.1 94.5 3.0 1.0 0.5 0.1 25.0 99.8Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 13.1 12.3 13.7 12.1 14.0 11.4 8.3 5.8 2.5 85.8 11.9 0.7 0.2 (Z) 3.8 97.1Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 11.5 12.0 12.0 12.6 15.1 13.3 8.9 6.3 2.5 65.8 32.7 0.5 0.2 (Z) 2.2 90.4Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . . . 6.7 12.8 13.6 12.6 12.5 15.0 12.1 7.4 4.9 2.3 89.9 6.3 1.7 0.4 (Z) 6.9 96.4Dayton, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.3 12.6 14.4 12.0 13.1 15.0 12.1 7.6 4.9 2.0 82.0 14.6 1.6 0.3 (Z) 1.8 94.1Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 12.9 12.2 12.6 14.3 15.1 12.2 8.0 4.7 1.6 83.9 12.0 0.5 1.8 (Z) 5.0 96.8

Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.3 12.5 14.2 12.2 11.2 14.8 12.7 7.8 5.7 2.5 82.2 14.9 1.0 0.2 (Z) 1.4 91.4Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . . . 5.3 10.6 12.6 12.5 11.9 13.9 12.5 9.7 7.7 3.5 86.3 10.5 1.5 0.4 (Z) 10.7 96.0Denver-Aurora, CO2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.7 13.7 12.4 14.8 15.4 15.2 11.1 5.4 3.0 1.2 87.6 5.8 3.4 1.1 0.2 22.4 101.0Des Moines-West Des Moines, IA. . . . . . . . . . . . . . . . . . . 7.8 14.3 12.6 14.3 14.7 14.5 10.6 5.8 3.7 1.7 91.3 4.4 2.6 0.4 0.1 6.0 95.9Detroit-Warren-Livonia, MI. . . . . . . . . . . . . . . . . . . . . . . 6.3 13.7 13.1 11.7 14.8 16.0 11.9 6.5 4.2 1.8 72.0 23.0 3.2 0.4 (Z) 3.7 95.6

Detroit-Livonia-Dearborn, MI . . . . . . . . . . . . . . . . . . . . . 6.7 14.3 13.8 11.8 14.6 15.4 11.4 6.0 4.1 1.9 54.8 40.9 2.4 0.4 0.1 5.1 93.1Warren-Troy-Farmington Hills, MI . . . . . . . . . . . . . . . . . 5.9 13.2 12.7 11.7 15.0 16.5 12.3 6.8 4.2 1.8 85.5 8.9 3.8 0.3 (Z) 2.7 97.5

Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 13.2 12.2 12.7 13.1 14.3 12.2 8.2 5.2 2.3 74.5 23.6 0.6 0.4 (Z) 2.1 91.6Dover, DE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.3 13.7 14.2 13.7 13.5 13.9 10.6 7.1 4.3 1.7 72.4 22.8 2.0 0.6 0.1 4.5 91.9Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.6 13.2 14.8 11.2 12.6 14.7 11.6 7.5 5.2 2.6 96.3 1.7 0.8 0.2 0.1 1.9 96.1Duluth, MN-WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.6 10.8 15.9 12.2 11.6 15.7 12.7 7.4 5.2 2.8 94.0 1.1 0.7 2.6 (Z) 1.0 98.4Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.0 12.2 15.9 14.5 15.0 14.0 10.9 5.5 3.4 1.5 66.8 27.2 4.1 0.4 (Z) 10.1 94.4Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.2 11.9 17.4 13.8 12.5 14.0 11.2 6.4 4.6 2.1 95.8 0.6 2.0 0.5 (Z) 1.2 98.7

El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.6 14.7 17.6 14.6 13.0 12.0 7.9 5.1 4.1 1.5 89.9 4.2 2.5 2.1 0.2 76.8 107.2Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.6 13.4 14.3 11.9 13.7 15.6 11.1 6.9 4.1 1.5 85.4 10.3 1.8 0.4 0.1 3.5 97.5Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.5 15.3 12.2 14.6 14.0 13.7 10.3 5.9 3.7 1.7 91.3 5.6 1.2 0.4 0.1 14.4 100.1Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.7 11.7 14.0 13.9 12.2 15.2 11.9 7.2 5.5 2.6 90.5 6.3 1.1 0.3 (Z) 2.2 98.9El Paso, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.7 16.3 16.3 12.2 13.1 12.8 8.9 5.5 3.8 1.4 92.6 3.6 1.2 1.1 0.2 81.8 92.6Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.9 12.5 15.7 11.9 12.7 15.1 11.7 6.9 5.1 2.4 91.0 6.7 0.8 0.2 (Z) 2.9 96.6

Eugene-Springfield, OR . . . . . . . . . . . . . . . . . . . . . . . . . 5.4 11.0 15.0 14.5 12.2 14.4 13.1 7.3 4.8 2.3 91.7 1.1 2.9 1.2 0.2 6.4 97.0Evansville, IN-KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 12.7 13.6 12.5 13.0 15.6 11.9 7.1 4.9 2.2 91.8 6.0 0.9 0.2 (Z) 1.4 93.8Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.2 14.6 17.8 17.7 13.5 13.5 9.0 3.5 1.6 0.6 80.0 5.9 2.5 7.3 0.3 6.6 113.4Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.0 12.0 19.3 16.0 12.7 13.2 9.3 5.1 3.6 1.9 94.1 1.7 1.3 1.6 0.1 2.6 100.0Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.1 14.8 15.3 14.4 12.2 14.3 10.1 6.1 3.5 1.3 59.1 1.4 0.5 37.0 0.1 17.8 98.5Fayetteville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.4 15.1 16.5 12.5 14.5 13.9 10.0 5.5 2.8 0.9 55.8 36.7 2.0 2.6 0.3 7.3 94.5

Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . . . 8.4 14.7 14.2 15.1 13.8 12.8 10.0 5.9 3.5 1.5 91.3 2.6 2.0 1.8 0.4 13.8 99.8Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.9 13.2 19.1 13.6 11.7 14.6 11.6 5.3 2.2 0.7 66.1 1.4 1.1 29.4 0.1 12.3 99.6Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 13.9 13.0 13.0 13.4 15.2 11.7 7.0 4.4 1.6 77.0 19.4 0.9 0.6 (Z) 2.5 92.6Florence, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.0 13.2 13.5 12.4 13.2 14.6 12.8 7.3 4.2 1.8 57.0 41.3 0.7 0.3 (Z) 1.5 89.3Florence-Muscle Shoals, AL. . . . . . . . . . . . . . . . . . . . . . . 5.6 11.9 13.7 12.0 13.1 14.5 12.4 8.9 5.6 2.4 85.8 12.5 0.4 0.3 (Z) 1.6 91.7Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.1 12.0 13.9 13.3 13.1 15.6 11.8 6.8 4.9 2.5 96.4 1.4 0.9 0.5 (Z) 3.4 96.3

Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . . . 6.2 11.6 17.0 15.7 13.0 14.8 10.9 5.8 3.6 1.5 94.5 1.1 1.8 0.8 0.1 10.0 100.4Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.4 14.1 12.4 13.6 13.1 14.1 11.7 7.5 4.3 1.8 84.5 3.8 1.9 5.9 0.1 7.6 97.4Fort Walton Beach-Crestview-Destin, FL . . . . . . . . . . . . . . 7.2 12.4 12.6 12.0 13.4 15.7 12.9 8.4 4.1 1.1 83.4 9.9 2.8 0.7 0.2 6.0 99.7Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.4 14.5 13.1 13.1 13.6 14.9 11.2 6.1 4.1 1.9 86.2 10.1 1.7 0.4 0.1 5.4 96.9Fresno, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.0 15.7 16.6 15.2 12.8 12.2 8.7 5.0 3.3 1.5 81.2 5.8 8.7 2.0 0.2 48.7 101.6Gadsden, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.2 12.8 12.3 13.1 13.1 14.0 12.5 8.3 5.6 2.3 83.4 14.8 0.5 0.4 (Z) 2.9 92.3

Gainesville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.7 9.9 25.3 14.5 11.2 12.1 10.3 6.0 3.5 1.5 74.9 18.7 4.3 0.3 (Z) 7.2 98.0Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.9 15.7 12.5 16.3 14.8 12.3 9.3 5.9 3.2 1.1 89.8 7.0 1.7 0.4 0.2 26.3 102.9Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.0 10.8 13.4 14.1 13.5 15.2 12.1 8.1 5.6 2.3 96.0 2.1 0.7 0.2 (Z) 2.0 100.7Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.7 13.7 13.4 12.1 13.7 15.0 11.6 7.2 4.2 1.4 64.8 32.6 0.8 0.4 0.1 7.1 95.0Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.6 11.4 22.3 12.6 11.2 13.6 9.9 5.9 4.3 2.3 94.0 1.3 1.0 2.4 0.1 3.7 103.3Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.0 12.1 13.1 16.0 11.9 13.8 10.9 7.3 5.6 2.3 95.6 1.0 0.7 1.1 0.1 12.1 96.6

Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . . . 7.4 14.3 14.2 13.8 14.1 14.9 10.3 5.7 3.7 1.6 88.2 7.8 1.7 0.5 0.1 8.2 100.0Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.0 13.3 12.4 11.6 12.5 15.5 12.3 8.0 5.1 2.3 90.6 1.7 0.7 4.5 0.1 3.4 98.2Greeley, CO2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.4 14.4 15.7 17.5 13.9 12.8 9.1 4.5 2.5 1.0 95.1 1.1 1.3 1.0 0.1 27.4 101.5Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 13.0 13.5 13.5 14.3 15.6 11.0 6.4 4.0 1.9 93.1 1.6 1.9 2.2 (Z) 5.2 99.8Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . . . 6.6 12.9 13.5 12.8 14.7 14.7 11.9 6.9 4.2 1.7 71.0 24.8 2.4 0.5 0.1 7.1 93.8Greenville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.2 12.6 19.3 14.5 13.3 13.0 9.9 5.5 3.3 1.4 63.2 34.4 1.0 0.3 0.1 5.6 94.0








His-panic

orLatino


Malesper100

females

Under5

years

5 to14

years

15 to24

years

25 to34

years

35 to44

years

45 to54

years

55 to64

years

65 to74

years

75 to84

years

85years

andover

Whitealone

Blackor

Afri-can

Ameri-can

aloneAsianalone

Ameri-can

Indianand

AlaskaNativealone

NativeHawai-

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OtherPacific

Islanderalone

Greenville-Mauldin-Easley, SC . . . . . . . . . . . . . . . . . . . . . 6.8 12.8 14.3 13.0 14.2 14.3 12.0 6.9 4.0 1.7 79.7 17.0 1.7 0.4 0.1 6.0 97.0Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.3 14.1 14.0 11.5 13.8 15.3 11.9 6.8 4.0 1.3 75.0 19.7 2.3 0.7 0.1 3.8 97.4Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . . . 6.6 13.2 11.5 15.8 15.0 14.4 10.6 6.7 4.4 1.8 89.3 8.1 1.1 0.2 (Z) 2.9 101.6Hanford-Corcoran, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 8.5 14.3 16.4 19.3 15.6 11.6 6.5 4.1 2.5 1.0 84.0 8.3 3.2 2.2 0.3 49.3 136.4Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . . . 6.0 11.9 13.1 12.3 14.0 15.7 12.5 7.1 5.0 2.2 86.0 10.0 2.4 0.2 (Z) 3.8 95.0Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.2 11.1 22.7 13.5 12.1 12.5 9.6 6.2 4.4 1.9 93.1 3.7 1.7 0.2 (Z) 8.1 96.6

Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . . . 5.8 12.5 14.0 11.6 14.4 15.9 11.9 6.9 4.7 2.3 83.7 11.1 3.3 0.3 0.1 11.3 95.1Hattiesburg, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.8 14.0 18.2 14.8 12.4 12.6 9.4 5.8 3.6 1.4 70.5 27.6 0.9 0.2 (Z) 1.8 92.6Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . . . 6.2 12.7 11.7 13.2 14.8 14.6 12.5 8.0 4.6 1.8 89.2 7.1 2.3 0.3 0.1 6.5 98.7Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . . . 9.9 19.0 15.9 15.6 15.0 12.0 6.3 3.7 1.9 0.7 54.5 39.6 1.7 0.7 0.5 7.2 96.1Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . . . 6.9 14.2 16.8 13.3 13.3 14.3 10.0 5.8 3.7 1.8 94.7 1.5 2.3 0.4 (Z) 8.2 96.9Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 11.5 13.8 13.7 13.8 13.6 11.4 7.1 5.7 2.6 25.7 4.0 44.6 0.6 8.5 7.9 101.0

Hot Springs, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.1 11.7 10.9 12.4 12.2 13.3 12.1 10.1 7.9 3.2 88.9 8.2 0.6 0.6 (Z) 3.9 93.8Houma-Bayou Cane-Thibodaux, LA . . . . . . . . . . . . . . . . . 7.1 14.0 14.1 14.6 13.6 14.6 10.6 6.3 3.7 1.4 77.5 16.3 0.9 3.9 (Z) 2.5 95.9Houston-Sugar Land-Baytown, TX . . . . . . . . . . . . . . . . . . 8.4 15.3 13.9 15.0 14.8 14.4 10.0 4.8 2.5 0.9 75.0 17.1 5.8 0.6 0.1 34.0 100.5Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . . . 6.0 11.7 13.2 13.0 13.1 14.4 12.7 8.5 5.4 2.0 95.4 2.8 0.5 0.2 (Z) 0.9 94.3Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.4 13.4 14.2 12.9 14.2 15.3 11.1 7.3 3.9 1.3 73.6 22.1 1.9 0.7 0.1 3.2 97.0Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.7 16.1 13.9 15.0 11.3 13.4 10.2 5.7 3.4 1.3 96.6 0.7 0.7 0.8 0.1 9.8 100.8

Indianapolis-Carmel, IN. . . . . . . . . . . . . . . . . . . . . . . . . . 7.6 14.6 12.6 14.0 15.1 15.0 10.3 5.7 3.5 1.5 81.8 14.7 1.8 0.3 0.1 4.9 96.6Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 11.7 22.2 15.5 12.7 12.5 9.4 4.8 3.1 1.5 90.7 3.6 4.0 0.3 (Z) 3.4 98.7Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.4 7.9 30.8 17.4 9.6 10.9 9.2 4.8 3.4 1.6 83.5 4.0 9.9 0.4 (Z) 3.9 100.3Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.4 12.8 13.0 13.3 14.1 15.4 11.6 6.9 4.5 2.0 89.2 7.7 0.7 0.5 0.1 2.8 103.6Jackson, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.7 14.5 15.0 13.2 13.5 14.4 10.7 5.9 3.6 1.6 51.4 46.7 0.9 0.2 (Z) 1.7 91.8Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 13.4 14.9 13.0 13.3 14.4 11.4 6.6 4.3 2.0 67.5 30.5 0.8 0.2 (Z) 2.8 92.8

Jacksonville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.1 13.2 13.1 13.4 14.4 15.2 12.1 6.7 3.5 1.3 72.5 22.4 3.0 0.4 0.1 5.9 95.6Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.7 14.5 24.4 14.3 11.0 10.8 8.0 4.5 2.1 0.7 76.8 17.4 2.0 0.8 0.2 7.1 119.4Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 13.4 12.9 13.1 14.0 15.4 11.3 6.8 4.3 1.9 92.7 4.4 1.0 0.4 0.1 6.3 98.3Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.6 12.7 14.0 14.3 14.2 14.7 11.4 6.4 4.0 1.9 90.0 7.3 1.0 0.4 (Z) 1.8 104.7Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.7 11.3 12.8 13.9 14.0 14.3 12.2 8.5 5.1 2.1 95.0 3.1 0.6 0.3 (Z) 2.1 96.0Johnstown, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.2 10.4 13.5 11.3 12.5 15.3 13.1 8.2 7.1 3.4 95.0 3.5 0.6 0.1 (Z) 1.2 96.6

Jonesboro, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.3 13.5 14.7 14.9 13.2 12.8 10.9 6.9 4.1 1.7 87.4 10.6 0.6 0.3 (Z) 3.1 94.9Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.6 14.0 12.9 14.7 12.6 13.6 10.8 7.0 4.6 2.1 93.5 1.5 1.0 1.6 0.2 5.2 95.3Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 12.8 17.4 13.0 12.4 14.5 11.2 6.4 4.1 1.8 86.8 8.6 1.9 0.6 (Z) 4.9 95.5Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.1 13.5 15.1 14.7 12.7 13.7 10.3 6.5 4.5 1.9 82.9 14.7 0.9 0.2 (Z) 7.4 95.6Kansas City, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.4 14.0 12.7 13.5 14.4 15.2 11.2 6.1 3.7 1.7 83.4 12.2 2.1 0.6 0.1 7.2 96.5Kennewick-Pasco-Richland, WA . . . . . . . . . . . . . . . . . . . . 8.4 15.2 14.1 15.4 12.8 13.6 10.5 5.6 3.2 1.3 93.1 1.8 2.3 1.0 0.1 26.5 102.7

Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . . 9.3 16.2 15.2 16.4 14.7 11.5 7.8 4.7 2.9 1.4 72.1 20.3 2.6 1.1 0.5 18.4 98.5Kingsport-Bristol-Bristol, TN-VA . . . . . . . . . . . . . . . . . . . . 5.4 11.2 11.1 12.7 13.7 14.8 13.4 9.6 5.8 2.3 96.3 2.2 0.5 0.2 (Z) 1.1 93.5Kingston, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.0 10.9 15.1 12.5 13.5 16.1 12.8 7.2 4.7 2.0 89.8 6.5 1.7 0.3 (Z) 7.6 99.6Knoxville, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.1 12.1 13.4 13.2 13.8 14.7 12.2 7.6 4.7 1.9 90.3 6.7 1.4 0.3 (Z) 2.4 94.3Kokomo, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 13.4 11.3 12.7 12.8 15.1 13.0 8.5 4.9 1.9 91.4 5.7 1.1 0.4 (Z) 2.1 94.3La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.9 11.7 17.8 13.0 12.6 14.5 11.1 6.4 4.8 2.4 94.6 1.1 2.8 0.4 (Z) 1.1 95.5

Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.6 11.7 24.3 15.1 11.5 11.5 8.9 5.3 3.5 1.6 90.9 3.2 4.5 0.3 (Z) 6.8 106.0Lafayette, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.4 14.2 15.3 14.6 13.2 15.0 10.0 5.6 3.4 1.3 70.8 26.6 1.3 0.3 (Z) 2.3 95.4Lake Charles, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.2 14.0 14.2 13.8 12.5 15.0 10.8 6.7 4.3 1.5 73.9 23.8 0.8 0.4 (Z) 2.2 95.3Lake Havasu City-Kingman, AZ . . . . . . . . . . . . . . . . . . . . 6.2 11.9 10.5 12.9 11.0 12.9 12.8 11.6 7.6 2.6 92.9 1.5 1.2 2.5 0.1 14.3 97.7Lakeland-Winter Haven, FL . . . . . . . . . . . . . . . . . . . . . . . 7.2 12.9 12.4 13.8 12.7 12.6 10.9 8.5 6.4 2.7 82.2 14.4 1.5 0.5 0.1 16.2 97.5Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.0 13.6 13.0 13.0 13.0 14.6 11.0 7.1 5.2 2.4 93.2 3.7 1.7 0.2 0.1 7.3 96.0Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . . . 6.1 12.3 19.0 12.7 12.8 14.4 11.6 6.1 3.6 1.6 85.8 8.4 3.2 0.6 0.1 5.0 95.2

Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.6 19.5 16.4 12.7 12.7 10.7 7.0 4.4 2.8 1.2 97.7 0.8 0.5 0.6 (Z) 94.6 92.9Las Cruces, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.6 14.4 17.7 14.6 11.6 11.9 9.0 6.3 4.3 1.6 92.7 3.2 1.0 1.6 0.1 65.0 97.8Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . . . 8.0 14.3 12.0 15.5 15.3 13.5 10.8 6.2 3.3 1.1 77.7 10.4 7.3 1.1 0.6 28.4 103.6Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.5 10.3 26.0 17.6 11.5 11.4 8.5 4.6 3.2 1.4 87.0 4.3 3.8 2.4 0.1 4.0 100.0Lawton, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.3 15.0 17.8 11.6 13.2 13.5 9.5 6.1 3.6 1.4 70.0 18.7 2.2 5.7 0.4 9.9 104.4Lebanon, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.3 12.2 12.0 13.2 13.3 14.7 11.7 8.0 6.0 2.7 96.0 2.0 1.0 0.2 (Z) 7.1 95.4

Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.0 12.1 13.0 12.4 11.6 14.2 12.0 8.9 6.5 3.2 92.5 0.5 0.9 4.1 0.1 2.7 95.4Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.4 12.1 12.5 12.7 14.3 15.4 12.2 7.2 4.9 2.4 95.7 1.9 0.7 0.3 (Z) 1.6 95.3Lexington-Fayette, KY . . . . . . . . . . . . . . . . . . . . . . . . . . 7.0 12.4 14.9 14.9 14.6 14.4 10.9 6.0 3.5 1.4 85.8 10.4 2.2 0.3 (Z) 4.7 96.9Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 13.2 13.7 13.3 12.0 14.7 11.6 7.3 5.1 2.4 85.6 11.7 0.7 0.2 (Z) 1.9 98.3Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.4 12.7 17.7 15.3 13.1 13.2 10.0 5.4 3.7 1.6 91.3 3.3 3.0 0.8 0.1 4.7 101.1Little Rock-North Little Rock-Conway, AR . . . . . . . . . . . . . . 7.3 13.7 13.6 13.6 13.8 14.5 11.5 6.6 3.8 1.6 74.1 22.4 1.3 0.6 0.1 3.6 94.3

Logan, UT-ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.9 16.7 21.6 16.5 9.8 9.7 6.7 4.2 2.6 1.3 95.6 0.7 1.9 0.7 0.2 9.0 99.2Longview, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.6 13.4 13.4 14.1 12.4 13.9 11.0 7.3 4.9 2.0 79.7 17.7 0.7 0.6 (Z) 11.5 97.7Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.6 13.0 13.1 14.4 12.5 14.4 12.2 7.3 4.5 2.0 93.6 0.7 1.4 1.7 0.2 6.7 98.3Los Angeles-Long Beach-Santa Ana, CA . . . . . . . . . . . . 7.2 14.0 15.0 13.7 15.3 14.2 9.9 5.7 3.6 1.6 75.1 7.7 13.9 1.0 0.3 44.4 98.7

Los Angeles-Long Beach-Glendale, CA . . . . . . . . . . . . . 7.2 14.0 15.2 13.8 15.3 14.0 9.7 5.6 3.5 1.6 74.1 9.4 13.2 1.0 0.3 47.7 98.2Santa Ana-Anaheim-Irvine, CA . . . . . . . . . . . . . . . . . . . 7.1 13.9 14.3 13.1 15.4 14.6 10.2 6.1 3.7 1.6 78.4 2.0 16.2 0.9 0.4 33.8 100.3

Louisville/Jefferson County, KY-IN . . . . . . . . . . . . . . . . . . . 6.7 13.3 12.3 13.3 14.2 15.6 12.0 6.7 4.2 1.7 83.5 13.5 1.3 0.3 0.1 2.9 94.8Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.8 13.7 19.0 14.6 11.8 12.5 9.2 5.9 3.9 1.7 89.2 7.5 1.4 0.8 0.1 31.1 96.9Lynchburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.6 11.6 15.2 12.9 12.9 14.2 11.8 8.1 5.3 2.2 79.7 17.7 1.1 0.3 (Z) 1.4 92.6Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.2 14.1 14.1 12.4 13.4 14.6 11.4 6.9 4.1 1.7 55.1 42.6 1.2 0.2 (Z) 1.7 89.1Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.4 14.7 14.9 17.2 13.5 12.0 9.1 5.4 3.6 1.4 87.6 4.5 2.1 3.3 0.3 50.8 92.2Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 12.0 16.0 14.5 14.7 14.9 11.2 5.4 3.4 1.6 90.0 4.0 4.0 0.5 (Z) 4.6 99.9








His-panic

orLatino


Malesper100

females

Under5

years

5 to14

years

15 to24

years

25 to34

years

35 to44

years

45 to54

years

55 to64

years

65 to74

years

75 to84

years

85years

andover

Whitealone

Blackor

Afri-can

Ameri-can

aloneAsianalone

Ameri-can

Indianand

AlaskaNativealone

NativeHawai-

ianand

OtherPacific

Islanderalone

Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . . . 6.4 13.4 12.6 11.3 15.6 17.1 12.0 6.2 3.7 1.6 93.2 2.2 3.1 0.3 0.1 5.0 98.3Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.2 12.3 12.3 13.1 12.9 15.2 12.2 8.3 5.4 2.2 88.0 9.6 0.6 0.2 (Z) 1.2 102.5McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . . . 11.9 18.8 15.8 14.2 12.4 10.1 7.1 4.6 3.6 1.5 96.7 1.2 0.9 0.6 0.1 89.6 95.1Medford, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 11.7 12.8 13.3 11.6 14.4 13.4 8.4 5.9 2.8 94.3 0.7 1.3 1.2 0.2 9.2 94.2Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.6 14.8 14.2 12.9 14.0 14.8 11.2 5.8 3.3 1.3 51.3 45.5 1.8 0.3 0.1 4.0 92.6Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.0 16.7 16.7 15.1 12.7 11.8 8.0 5.3 3.3 1.3 85.0 4.1 6.6 1.6 0.3 52.9 100.7

Miami-Fort Lauderdale-Pompano Beach, FL . . . . . . . . . . 6.2 12.0 12.8 11.3 14.7 14.9 11.3 7.8 5.8 3.1 75.2 20.8 2.2 0.5 0.1 39.6 94.5Fort Lauderdale-Pompano Beach-Deerfield Beach, FL . . . 6.3 12.8 12.2 11.2 15.3 16.0 11.7 6.8 4.7 3.0 69.2 25.5 3.1 0.5 0.2 24.0 94.8Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . . . . 6.4 11.9 14.0 11.6 15.1 14.6 11.0 7.9 5.2 2.3 77.4 19.5 1.6 0.4 0.1 62.4 94.0West Palm Beach-Boca Raton-Boynton Beach, FL . . . . . . 5.9 11.3 11.1 11.0 13.0 14.2 11.4 8.9 8.5 4.7 79.4 16.5 2.2 0.6 0.1 17.8 95.2

Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . . . . 6.1 12.6 12.6 13.6 13.9 15.1 12.2 7.0 4.9 2.0 87.1 10.6 0.5 0.3 (Z) 4.5 106.4Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.4 14.9 14.9 13.3 11.6 15.1 10.0 5.8 4.3 1.6 90.1 7.0 1.0 0.8 0.1 36.9 94.9

Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . . . 7.0 13.6 13.7 11.9 13.9 15.8 11.6 6.3 4.2 1.9 78.8 16.4 2.7 0.7 0.1 8.5 95.7Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . . . 7.2 13.7 13.3 13.7 15.1 16.0 10.9 5.5 3.2 1.5 85.6 6.7 5.0 0.8 0.1 4.8 99.0Missoula, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.0 11.4 17.1 15.6 12.9 14.5 11.9 5.8 3.3 1.5 93.5 0.8 1.2 2.7 0.1 2.5 101.7Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.3 14.4 14.1 13.0 12.7 14.8 11.5 6.6 4.0 1.6 61.9 34.4 1.8 0.7 (Z) 1.9 91.7Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.1 15.4 15.4 15.3 13.2 13.2 9.0 5.5 3.5 1.6 86.8 3.2 5.0 1.6 0.6 39.6 98.0Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.5 14.0 15.7 13.9 12.2 13.4 10.3 6.9 4.4 1.8 64.2 34.0 0.8 0.3 (Z) 1.9 91.0

Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 13.0 13.6 13.2 13.8 16.1 12.2 6.9 4.1 1.5 95.3 2.4 0.7 0.3 (Z) 2.7 98.5Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.1 13.8 15.3 12.9 13.6 14.4 11.0 6.5 3.9 1.6 54.9 42.7 1.0 0.3 (Z) 1.9 93.6Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.4 10.1 22.3 14.2 12.4 12.9 11.0 6.2 3.9 1.6 93.9 3.0 1.8 0.2 (Z) 1.2 103.1Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.4 12.4 11.9 14.5 14.1 13.6 12.0 8.8 4.7 1.7 95.1 2.9 0.6 0.4 0.1 6.3 98.1Mount Vernon-Anacortes, WA . . . . . . . . . . . . . . . . . . . . . 6.5 12.6 13.1 14.8 12.3 13.7 11.8 7.4 5.3 2.5 93.0 0.8 2.0 2.1 0.2 14.8 97.9Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.5 11.2 20.7 12.5 11.8 12.7 11.1 7.6 4.9 2.1 90.6 6.8 1.0 0.3 0.1 1.4 92.6

Muskegon-Norton Shores, MI. . . . . . . . . . . . . . . . . . . . . . 6.7 13.5 13.7 14.0 13.1 15.1 11.0 6.5 4.4 1.9 83.3 13.4 0.5 0.8 (Z) 4.5 98.8Myrtle Beach-North Myrtle Beach-Conway, SC . . . . . . . . . . 6.4 11.5 11.1 14.6 13.7 13.1 12.2 9.4 6.0 1.9 83.1 14.3 1.0 0.4 0.1 4.5 96.0Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.3 12.2 13.5 13.6 13.3 14.5 12.1 7.2 4.9 2.5 88.1 2.0 6.1 1.0 0.3 30.1 102.3Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . . . 6.3 10.8 9.4 11.8 11.8 12.1 11.3 12.3 10.1 4.0 92.0 5.7 1.1 0.4 0.1 25.5 102.3Nashville-Davidson—Murfreesboro—Franklin, TN . . . . . . . . 7.2 13.5 13.1 14.2 15.1 15.1 11.1 6.0 3.3 1.3 80.7 15.5 2.1 0.4 0.1 5.5 96.8New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . . . 6.1 12.7 14.0 12.4 14.3 15.2 11.3 6.6 4.7 2.5 81.6 13.0 3.5 0.4 0.1 13.3 93.7

New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . . . 6.5 12.8 14.8 11.8 13.2 15.9 12.7 6.6 4.1 1.6 61.6 34.0 2.6 0.5 0.1 6.3 92.0New York-Northern New Jersey-Long Island, NY-NJ-PA . . 6.5 12.7 13.4 12.9 15.2 15.1 11.2 6.7 4.4 2.0 68.9 19.4 9.4 0.5 0.1 21.6 93.9

Edison-New Brunswick, NJ. . . . . . . . . . . . . . . . . . . . . . 6.4 13.0 12.6 11.9 14.8 15.6 11.1 7.0 5.2 2.4 80.3 8.0 10.1 0.3 0.1 11.9 95.9Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 13.2 14.0 10.0 13.9 16.6 12.6 7.3 4.8 1.9 83.7 9.5 5.1 0.3 0.1 13.3 96.2Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 13.6 13.2 11.5 15.1 16.1 11.7 6.6 3.9 1.8 71.2 22.1 5.0 0.3 0.1 16.7 95.4New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . . . 6.7 12.4 13.4 14.0 15.6 14.4 10.8 6.6 4.2 1.9 62.6 23.6 11.2 0.6 0.2 26.5 92.6

Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 13.1 13.3 11.1 12.6 15.3 12.5 7.8 5.4 2.4 81.9 14.6 1.5 0.5 0.1 4.0 94.3Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . . . 6.0 12.7 12.9 12.6 15.3 16.2 10.9 6.7 4.7 2.0 86.5 6.4 3.7 0.9 0.1 6.7 96.4Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.6 10.8 11.0 12.9 11.8 12.3 10.8 11.1 9.9 3.8 85.1 11.9 1.3 0.5 (Z) 9.6 94.1Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.9 10.9 12.0 11.2 12.5 15.2 12.5 9.7 7.6 3.4 92.6 5.1 0.9 0.2 (Z) 4.7 93.0Odessa, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.4 15.6 15.4 14.0 11.8 13.5 9.5 5.8 3.8 1.3 92.2 4.8 0.8 1.1 0.1 50.6 95.9Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.7 16.7 15.7 16.4 11.9 12.1 8.6 4.8 2.9 1.1 94.2 1.5 1.6 0.8 0.3 11.1 102.3

Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.6 13.5 14.6 14.5 13.0 14.1 10.8 6.4 3.9 1.6 79.0 10.9 3.0 3.9 0.1 9.7 97.2Olympia, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.0 12.0 13.5 15.4 13.2 14.8 12.6 6.6 4.0 1.8 86.2 3.1 4.9 1.7 0.6 6.1 96.7Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . . . 8.0 14.3 14.0 14.0 13.7 14.5 10.5 5.8 3.6 1.6 87.8 7.9 2.0 0.7 0.1 7.6 97.9Orlando-Kissimmee, FL. . . . . . . . . . . . . . . . . . . . . . . . . . 6.9 12.8 13.2 14.0 14.7 14.3 10.8 7.0 4.5 1.8 77.9 16.0 3.7 0.5 0.1 23.0 98.1Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 11.9 15.0 13.9 14.0 15.4 11.1 6.5 4.2 2.1 95.1 1.5 1.8 0.6 (Z) 3.0 101.1Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.0 13.3 12.5 12.6 12.8 15.0 12.1 7.6 4.9 2.2 93.9 4.2 0.5 0.2 (Z) 1.6 93.8

Oxnard-Thousand Oaks-Ventura, CA. . . . . . . . . . . . . . . . . 7.4 13.8 15.0 12.8 13.5 15.1 11.0 6.1 3.7 1.6 87.3 2.2 6.6 1.3 0.3 38.0 100.4Palm Bay-Melbourne-Titusville, FL . . . . . . . . . . . . . . . . . . 5.2 10.8 12.1 11.4 12.3 15.4 12.4 10.0 7.5 3.1 85.6 10.1 2.0 0.4 0.1 7.2 96.5Palm Coast, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.1 10.3 10.3 15.1 11.6 11.6 11.3 11.8 9.6 3.2 85.6 10.8 2.0 0.2 (Z) 8.3 94.6Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . . 7.0 11.9 12.0 13.0 13.3 15.2 12.9 8.5 4.6 1.5 83.3 11.7 1.9 0.8 0.1 3.7 97.9Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . . . 5.6 11.8 12.0 11.7 13.1 15.8 13.2 9.0 5.5 2.3 97.0 1.2 0.5 0.3 (Z) 0.8 94.7Pascagoula, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.3 14.5 13.7 12.4 13.6 15.1 11.9 6.9 3.4 1.1 76.2 20.4 1.6 0.4 (Z) 3.5 97.7Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . . . 6.6 12.0 14.9 12.4 12.8 14.7 12.6 8.2 4.4 1.6 77.3 17.0 2.3 1.0 0.1 3.8 98.8

Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 12.9 13.8 13.5 12.5 14.3 11.7 7.2 5.1 2.4 87.9 9.0 1.6 0.3 (Z) 2.2 95.2Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . 6.5 13.0 14.1 11.9 14.3 15.5 11.4 6.7 4.5 2.0 72.9 21.0 4.4 0.3 0.1 6.7 93.7

Camden, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.3 13.0 13.5 12.9 14.8 15.7 11.1 6.5 4.3 1.7 77.1 17.0 3.9 0.3 0.1 8.0 95.9Philadelphia, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.6 13.0 14.3 11.4 14.2 15.5 11.4 6.7 4.7 2.2 71.1 22.5 4.8 0.3 0.1 6.4 92.8Wilmington, DE-MD-NJ . . . . . . . . . . . . . . . . . . . . . . . . 6.6 12.9 14.2 12.7 14.5 15.2 11.7 6.5 3.9 1.6 75.3 19.8 3.1 0.3 0.1 6.5 94.9

Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . . 8.4 14.7 13.1 15.3 14.3 12.9 9.9 6.0 3.8 1.7 87.7 4.9 2.9 2.5 0.2 30.9 102.2

Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 12.5 15.1 12.9 13.1 14.7 11.9 6.9 4.3 2.1 50.7 47.0 0.9 0.4 (Z) 1.7 102.4Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.2 11.4 13.1 10.7 13.2 16.3 12.8 8.0 6.3 2.9 88.8 8.3 1.5 0.2 (Z) 1.1 92.9Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.8 10.3 14.5 11.5 11.8 15.6 13.2 8.5 6.5 3.3 94.3 2.6 1.4 0.2 (Z) 2.6 92.7Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.1 15.2 16.5 13.7 11.3 12.9 10.8 5.6 3.4 1.4 92.8 0.8 1.2 3.4 0.2 7.8 98.5Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . . . 5.5 11.9 12.3 10.6 14.8 17.3 13.4 7.3 4.7 2.1 95.7 1.5 1.3 0.4 (Z) 1.6 95.1Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . . . 6.8 13.3 12.3 14.8 14.9 15.2 12.1 5.8 3.3 1.5 87.5 3.1 5.4 1.0 0.4 10.5 99.5

Port St. Lucie, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.0 11.3 11.2 12.9 11.9 13.2 11.3 9.6 8.6 3.9 82.7 13.8 1.4 0.7 0.1 13.9 97.1Poughkeepsie-Newburgh-Middletown, NY . . . . . . . . . . . . . 6.2 13.5 15.7 13.1 13.7 15.6 10.9 6.1 3.7 1.5 84.5 10.6 2.8 0.4 0.1 13.3 100.9Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.5 10.8 11.4 12.7 10.3 13.1 13.0 11.4 8.5 3.3 94.7 1.1 0.8 1.7 0.1 13.3 96.5Providence-New Bedford-Fall River, RI-MA. . . . . . . . . . . . . 5.8 12.1 14.4 12.7 14.3 15.3 11.5 6.6 4.9 2.4 89.9 5.5 2.4 0.5 0.1 9.4 93.7Provo-Orem, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.6 18.7 20.7 17.4 10.6 8.6 6.1 3.5 2.1 0.9 94.9 0.7 1.4 0.7 0.6 9.5 99.8Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 13.2 13.7 14.5 12.5 13.7 10.8 7.0 5.6 2.4 92.9 2.5 0.8 2.0 0.1 39.1 96.3








His-panic

orLatino


Malesper100

females

Under5

years

5 to14

years

15 to24

years

25 to34

years

35 to44

years

45 to54

years

55 to64

years

65 to74

years

75 to84

years

85years

andover

Whitealone

Blackor

Afri-can

Ameri-can

aloneAsianalone

Ameri-can

Indianand

AlaskaNativealone

NativeHawai-

ianand

OtherPacific

Islanderalone

Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.9 9.0 9.2 10.6 10.5 12.8 14.1 12.9 11.6 5.3 91.3 6.0 1.3 0.3 (Z) 5.6 92.6Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.6 13.8 13.2 12.3 13.8 16.1 11.8 6.5 4.2 1.9 86.6 10.6 0.9 0.5 0.1 10.2 99.0Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.9 14.2 13.6 14.7 16.4 14.7 10.3 4.7 2.4 0.9 74.1 20.1 3.8 0.5 0.1 9.1 98.8Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.9 13.6 13.5 13.0 12.2 15.0 11.9 6.9 4.2 1.8 87.9 1.5 0.9 7.0 0.1 3.9 99.0Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 12.8 13.8 12.5 13.9 15.0 11.4 6.9 5.0 2.3 92.0 5.2 1.3 0.3 0.1 14.1 97.0Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.0 11.8 14.1 15.0 11.6 14.2 12.1 7.9 5.2 2.1 90.2 1.1 2.3 3.0 0.1 8.0 95.7

Reno-Sparks, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.2 13.1 13.1 13.8 13.7 14.9 12.3 6.8 3.7 1.4 87.5 2.6 4.9 2.1 0.5 21.0 103.2Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.6 12.8 13.9 13.8 14.6 15.2 11.4 6.3 3.9 1.6 65.4 30.1 2.6 0.5 0.1 4.0 94.5Riverside-San Bernardino-Ontario, CA. . . . . . . . . . . . . . . . 8.1 15.4 15.8 16.4 13.7 12.6 8.1 5.1 3.5 1.5 82.0 8.0 5.7 1.4 0.4 45.7 100.2Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.9 11.6 12.2 12.5 13.5 15.1 12.9 8.2 5.6 2.4 84.5 12.8 1.3 0.2 (Z) 2.1 92.4Rochester, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.5 13.5 12.5 13.9 14.1 15.6 10.4 6.4 4.0 2.1 91.4 3.1 4.1 0.3 (Z) 3.1 98.7Rochester, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.6 12.2 16.1 11.7 13.2 15.6 12.1 6.9 4.5 2.2 84.4 11.5 2.2 0.3 (Z) 5.2 95.4

Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.9 13.9 13.0 14.7 13.9 14.2 10.7 6.5 4.3 1.9 86.0 10.1 1.9 0.4 (Z) 11.8 97.7Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 13.3 13.2 11.8 13.2 15.6 12.6 7.2 4.6 1.7 53.9 44.3 0.6 0.5 (Z) 4.5 90.2Rome, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.4 13.3 14.0 13.5 13.4 13.4 10.8 7.5 4.8 2.1 83.6 13.3 1.5 0.3 0.1 8.1 94.9Sacramento—Arden-Arcade—Roseville, CA . . . . . . . . . . . . 7.0 13.2 14.6 15.4 13.7 14.0 10.1 6.1 4.0 1.7 75.6 7.6 11.1 1.2 0.7 18.9 96.9Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . . . 6.2 13.1 14.6 11.3 12.4 15.0 12.7 7.6 4.8 2.3 78.5 18.5 1.0 0.5 (Z) 7.4 93.0St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 12.5 17.9 15.0 12.9 13.6 9.6 5.8 4.1 1.9 95.4 1.6 1.7 0.4 (Z) 1.8 101.1

St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.6 15.3 13.8 17.9 9.8 8.6 6.8 7.6 7.4 3.2 95.2 0.7 0.8 1.4 0.5 7.9 98.3St. Joseph, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.4 12.2 14.0 14.0 13.4 14.6 10.9 6.9 4.8 2.6 93.0 4.6 0.5 0.5 (Z) 3.0 103.0St. Louis, MO-IL3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 13.1 13.8 12.6 13.6 15.8 11.5 6.7 4.4 1.9 78.3 18.2 1.9 0.3 (Z) 2.2 93.8Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.5 13.9 13.9 14.7 12.8 13.3 11.0 6.4 4.3 2.3 92.6 1.2 1.9 1.7 0.4 20.5 100.8Salinas, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.8 14.1 15.7 15.3 13.6 13.0 9.4 5.2 3.5 1.5 85.4 3.6 6.4 1.4 0.5 53.2 107.8Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.4 11.8 16.6 14.7 12.9 13.6 10.4 6.9 4.8 1.9 69.2 27.6 1.6 0.3 (Z) 3.2 96.3

Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.2 15.9 14.8 15.9 13.5 12.9 9.2 4.8 2.7 1.1 91.1 1.8 2.9 1.1 1.3 15.9 103.4San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.6 13.4 17.2 12.7 11.9 13.1 10.3 6.8 4.8 2.3 92.1 4.4 1.1 0.8 0.1 34.4 93.7San Antonio, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.1 15.1 14.7 14.3 13.8 13.3 9.9 5.7 3.6 1.5 88.5 6.8 1.9 1.0 0.2 53.2 96.1San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . . . 7.5 13.2 15.9 14.5 14.3 13.8 9.5 5.5 4.0 1.8 79.5 5.5 10.3 1.0 0.5 30.9 101.3Sandusky, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.6 12.2 11.8 11.1 12.3 16.1 13.7 8.8 6.0 2.4 88.7 8.7 0.6 0.3 (Z) 2.5 95.2

San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . . . 6.4 11.6 12.5 13.0 16.3 15.6 12.0 6.5 4.1 2.0 64.0 9.0 22.2 0.7 0.7 20.4 99.0Oakland-Fremont-Hayward, CA. . . . . . . . . . . . . . . . . . . 6.7 12.9 13.7 12.9 15.2 15.5 11.7 6.1 3.6 1.7 62.7 11.9 20.3 0.8 0.7 22.2 97.5San Francisco-San Mateo-Redwood City, CA . . . . . . . . . 5.9 9.7 10.8 13.1 17.8 15.8 12.6 7.1 4.8 2.4 66.0 4.8 24.8 0.5 0.8 17.9 101.2

San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . . . 7.5 13.0 13.1 13.4 16.7 15.1 10.4 6.0 3.4 1.5 62.9 2.8 30.3 0.8 0.4 26.8 105.0San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . . . 5.2 9.8 19.0 13.8 11.8 14.5 11.5 6.9 5.2 2.4 90.9 2.1 3.2 1.1 0.1 19.1 105.8Santa Barbara-Santa Maria-Goleta, CA . . . . . . . . . . . . . . . 7.4 12.1 18.8 13.3 12.3 13.3 9.9 6.1 4.6 2.2 88.7 2.4 4.5 1.7 0.2 39.5 101.9

Santa Cruz-Watsonville, CA. . . . . . . . . . . . . . . . . . . . . . . 6.6 11.0 17.1 12.5 13.2 15.9 13.1 5.5 3.4 1.7 90.3 1.3 4.1 1.2 0.2 29.3 100.6Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 11.4 12.4 12.6 13.7 15.6 14.9 7.8 4.3 1.7 92.4 1.3 1.2 3.4 0.1 50.1 97.4Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . . . . . . . . . . 6.2 11.7 14.4 12.6 12.9 15.7 13.3 6.5 4.4 2.2 89.7 1.7 3.9 1.6 0.3 23.2 98.4Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.7 14.0 15.1 14.1 13.3 13.9 10.5 6.0 3.8 1.6 62.3 34.0 1.9 0.3 0.1 3.0 93.3Scranton—Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . 5.4 11.0 13.4 11.4 13.2 14.9 12.7 8.2 6.5 3.2 95.7 2.5 0.9 0.1 (Z) 3.8 93.7

Seattle-Tacoma-Bellevue, WA . . . . . . . . . . . . . . . . . . . . 6.6 12.5 12.7 14.0 15.7 16.1 11.9 5.7 3.3 1.5 78.2 5.7 10.6 1.2 0.7 7.6 100.1Seattle-Bellevue-Everett, WA . . . . . . . . . . . . . . . . . . . . 6.5 12.2 12.3 13.8 16.2 16.4 12.2 5.7 3.3 1.6 77.7 5.2 12.0 1.1 0.6 7.6 100.4Tacoma, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.9 13.5 14.0 14.8 14.3 15.0 10.9 5.8 3.4 1.4 79.8 7.3 5.8 1.6 1.0 7.8 99.0

Sebastian-Vero Beach, FL. . . . . . . . . . . . . . . . . . . . . . . . 5.5 10.2 10.7 12.3 11.0 13.1 11.8 10.3 10.2 4.8 88.7 8.9 1.1 0.3 (Z) 10.3 95.4Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.3 12.6 12.6 13.2 13.5 16.1 11.8 6.8 4.9 2.3 93.2 1.5 3.9 0.4 (Z) 5.0 102.0Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . . . . . . . 7.0 13.1 13.2 13.9 12.5 14.1 11.1 7.5 5.2 2.4 89.8 5.9 0.8 1.6 0.1 10.2 95.3Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . . . 7.4 14.0 14.4 13.6 12.5 14.1 10.7 6.8 4.4 2.0 58.0 39.1 1.1 0.5 0.1 3.0 92.1

Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.9 14.9 13.4 11.8 13.2 14.4 11.3 6.5 4.4 2.1 91.4 2.3 2.5 2.0 0.1 13.4 97.7Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.9 13.8 12.9 15.1 13.6 14.4 10.5 5.8 3.9 2.0 93.6 2.2 0.9 2.0 0.1 3.4 99.5South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . 6.9 13.6 15.4 11.7 13.0 14.8 11.6 6.3 4.7 2.2 85.0 11.0 1.5 0.5 0.1 5.9 94.8Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 13.0 13.1 13.2 14.2 14.3 12.1 7.3 4.2 1.8 76.0 20.8 1.8 0.3 (Z) 5.1 95.2Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 12.7 14.7 14.8 12.6 14.5 11.5 6.4 4.2 2.2 91.5 1.9 2.1 1.6 0.2 4.0 97.1Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.4 12.7 12.5 13.4 13.3 15.6 12.1 7.1 4.7 2.2 86.7 10.3 1.2 0.2 (Z) 1.4 92.3

Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.5 11.7 17.2 12.5 12.7 14.9 11.8 6.5 4.8 2.4 88.8 7.0 2.1 0.3 0.1 14.0 92.1Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.9 12.8 14.9 15.2 12.9 13.4 10.4 6.8 4.6 2.1 94.7 2.1 1.0 0.7 0.1 2.5 95.4Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.3 12.8 12.8 12.4 12.6 14.4 12.7 8.3 5.3 2.4 88.4 8.7 0.7 0.3 (Z) 1.8 93.1State College, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.6 8.8 30.5 13.4 11.5 11.2 8.5 5.8 3.9 1.6 90.7 3.1 4.9 0.2 0.1 2.2 106.4Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.3 15.5 15.3 15.3 13.4 13.0 9.0 5.3 3.4 1.5 72.7 8.0 13.8 1.4 0.5 37.0 100.3Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.6 14.2 14.5 11.1 13.0 14.7 11.4 7.4 4.3 1.9 49.6 47.6 1.1 0.3 0.1 2.5 91.3

Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.7 12.3 16.4 12.6 12.8 15.4 11.4 6.7 4.6 2.1 87.8 7.6 1.9 0.9 (Z) 2.6 94.2Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.2 11.1 20.7 14.5 12.7 13.3 11.3 5.9 3.0 1.2 63.3 33.1 2.0 0.3 (Z) 5.0 95.1Tampa-St. Petersburg-Clearwater, FL . . . . . . . . . . . . . . . . 6.1 11.8 11.8 12.4 13.6 14.6 12.3 8.3 6.1 3.1 83.4 11.8 2.7 0.5 0.1 14.6 94.8Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.1 12.1 15.6 13.6 13.0 14.1 11.3 7.0 4.9 2.3 92.1 5.2 1.1 0.3 (Z) 1.4 101.3Texarkana, TX-Texarkana, AR . . . . . . . . . . . . . . . . . . . . . 6.6 13.3 12.8 14.9 13.3 13.9 11.6 6.9 4.6 2.1 72.8 24.4 0.6 0.7 (Z) 4.7 100.2Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.6 12.9 15.7 12.6 12.9 14.8 11.5 6.5 4.5 2.0 84.2 12.7 1.3 0.3 (Z) 5.2 94.6

Topeka, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.0 13.1 12.9 13.0 12.5 15.1 12.3 7.3 4.7 2.2 87.7 7.2 1.1 1.6 0.1 7.5 95.9Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.3 12.6 15.1 13.0 14.7 15.1 11.0 6.2 4.1 1.9 69.4 20.5 8.2 0.3 0.2 13.3 97.0Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.9 12.8 14.3 13.3 12.6 13.6 11.4 7.4 5.4 2.4 88.1 3.7 2.6 3.6 0.2 33.1 96.0Tulsa, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.5 13.9 13.4 13.5 13.2 14.6 11.5 6.7 4.1 1.7 77.7 9.1 1.5 7.3 0.1 7.5 96.5Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 12.8 18.6 14.4 12.4 13.2 10.5 6.0 4.0 1.5 62.6 35.3 1.1 0.2 (Z) 1.7 94.2Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.7 13.8 13.9 14.1 12.3 13.1 10.3 7.3 5.1 2.2 79.5 17.9 0.9 0.5 0.1 15.6 93.3








His-panic

orLatino


Malesper100

females

Under5

years

5 to14

years

15 to24

years

25 to34

years

35 to44

years

45 to54

years

55 to64

years

65 to74

years

75 to84

years

85years

andover

Whitealone

Blackor

Afri-can

Ameri-can

aloneAsianalone

Ameri-can

Indianand

AlaskaNativealone

NativeHawai-

ianand

OtherPacific

Islanderalone

Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.4 11.4 14.3 13.0 13.0 14.8 11.9 7.6 5.6 2.9 92.0 5.2 1.3 0.3 (Z) 3.5 98.9Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.9 13.7 17.3 15.3 13.6 12.7 9.1 5.8 3.3 1.4 64.1 33.1 1.0 0.4 0.1 4.2 97.9Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 13.7 14.8 13.5 13.8 15.2 10.9 5.9 3.8 1.6 63.6 15.4 14.1 1.0 0.9 22.6 101.1Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.6 14.4 14.1 11.9 12.3 14.5 11.1 7.2 4.8 1.9 91.2 5.7 1.5 0.7 0.1 41.8 96.1Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . 7.6 12.6 12.8 16.1 14.8 13.3 10.2 6.4 4.3 1.9 73.8 21.9 1.2 1.1 0.1 24.2 106.4

Virginia Beach-Norfolk-Newport News, VA-NC. . . . . . . . . . . 7.0 13.5 15.5 13.7 14.2 14.7 10.0 6.1 3.8 1.5 62.2 31.9 3.1 0.5 0.1 4.3 95.7Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.7 16.8 16.3 15.6 12.1 11.7 8.3 5.0 3.2 1.4 90.7 2.1 3.5 1.9 0.2 57.5 101.0Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.5 13.9 18.7 13.7 11.6 12.7 9.5 6.1 4.2 2.1 81.7 14.9 1.5 0.6 0.1 21.8 95.6Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.6 14.6 14.4 13.7 13.9 15.1 10.1 6.0 3.4 1.2 68.2 27.6 2.0 0.4 0.1 4.1 94.1Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . 7.1 13.0 13.4 13.8 15.7 15.5 11.4 5.8 3.0 1.3 62.4 26.5 8.6 0.4 0.1 12.3 95.4

Bethesda-Frederick-Gaithersburg, MD . . . . . . . . . . . . . . 6.9 13.2 12.7 11.7 15.0 16.4 12.0 6.4 3.9 1.8 70.5 15.4 11.6 0.4 0.1 13.1 93.9Washington-Arlington-Alexandria, DC-VA-MD-WV. . . . . . . 7.2 13.0 13.6 14.3 15.9 15.2 11.2 5.6 2.8 1.1 60.1 29.6 7.8 0.4 0.1 12.1 95.8

Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 11.8 18.2 12.1 11.1 13.8 11.7 7.1 5.1 2.7 91.0 6.6 1.1 0.2 (Z) 2.4 94.3Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.3 12.9 12.8 12.6 13.8 15.8 12.0 6.9 4.6 2.3 93.5 0.6 4.6 0.4 (Z) 1.3 100.4Weirton-Steubenville, WV-OH. . . . . . . . . . . . . . . . . . . . . . 5.1 10.7 12.5 10.1 12.4 16.0 14.1 9.5 6.9 2.8 94.3 4.0 0.4 0.2 (Z) 0.8 92.4Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.9 13.7 13.7 12.7 11.9 14.5 11.4 7.6 5.4 2.3 95.2 0.7 1.0 1.4 0.2 23.8 98.7Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.2 10.7 12.9 11.2 12.7 15.9 13.6 8.4 6.5 2.9 94.8 3.5 0.6 0.1 (Z) 0.6 95.6Wichita, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.9 14.6 13.9 13.3 13.1 14.7 10.5 6.0 4.2 1.9 85.5 8.0 3.2 1.1 0.1 9.7 98.6

Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.1 13.4 17.1 12.8 12.3 14.0 10.2 6.8 4.6 1.9 85.2 9.4 1.8 1.2 0.1 13.9 101.6Williamsport, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 11.1 14.5 11.7 12.6 15.3 12.4 8.0 5.9 2.6 93.6 4.6 0.5 0.3 (Z) 1.0 96.1Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.2 11.8 13.1 14.2 13.7 13.7 12.0 8.5 5.2 1.7 82.5 15.0 0.9 0.5 0.1 3.9 95.1Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 12.8 12.3 15.5 14.4 14.3 10.6 7.1 4.5 1.6 92.1 5.2 1.1 0.2 (Z) 6.4 99.5Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.9 13.1 12.8 12.5 14.5 14.8 12.0 7.2 4.4 1.7 76.8 20.4 1.2 0.4 0.1 9.5 93.6Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.2 13.0 14.1 12.6 14.7 16.0 11.2 6.0 4.2 2.1 90.9 3.8 3.6 0.3 0.1 8.3 96.5

Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.1 16.2 14.5 13.3 12.4 12.8 10.2 5.9 3.8 1.9 89.9 1.6 1.3 5.2 0.3 41.4 99.9York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.3 12.5 12.1 13.0 14.4 15.9 12.0 7.1 4.7 2.1 92.0 5.4 1.2 0.2 (Z) 4.5 97.3Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . . . 5.4 11.9 13.1 11.3 12.4 15.6 13.1 8.2 6.2 2.8 87.2 10.9 0.5 0.2 (Z) 2.1 93.7Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.6 14.5 14.6 16.7 12.8 12.6 9.0 6.0 3.6 1.5 80.7 2.9 10.4 2.1 0.2 25.5 99.5Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.7 14.9 14.7 11.5 11.5 11.2 8.6 8.7 7.5 2.7 92.4 3.2 1.2 1.8 0.2 55.6 98.8

Z Less than 500 or .05 percent.

1People of Hispanic origin may be any race.2The 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,




Survey, Census, or Data Collection Method: Based on the ‘‘component of population change method’’; for more information, see Appendix B, Limitations of the Data and Methodology, andInternet site <http://www.census.gov/popest/topics/methodology/>.

Source: U.S. Census Bureau, ‘‘Annual County Resident Population Estimates by Age, Sex, Race, and Hispanic Origin: April 1, 2000 to July 1, 2008,’’ released May 14, 2009 (related Internet site<http://www.census.gov/popest/datasets.html/>).


Table B–4. Metropolitan Areas — Births, Deaths, and Infant Deaths



Births Deaths Infant deaths2

NumberRate per

1,000population1

NumberRate per

1,000population1

NumberRate per

1,000live births3

2006 2000 2006 2000 2006 2000 2006 2000 2006 2000 1990 2006 2000 1990

Abilene, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,494 2,371 15.7 14.8 1,514 1,527 9.5 9.5 27 8 26 10.8 3.4 10.5Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,251 8,822 11.8 12.7 6,314 6,430 9.0 9.3 58 65 75 7.0 7.4 7.6Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,485 2,467 15.2 15.6 1,438 1,321 8.8 8.4 31 26 37 12.5 10.5 13.8Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . . . 9,357 9,689 11.0 11.7 7,298 7,688 8.6 9.3 48 66 93 5.1 6.8 7.9Albuquerque, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,234 10,733 15.0 14.7 6,300 5,130 7.7 7.0 67 65 85 5.5 6.1 8.3Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,310 2,254 15.2 15.5 1,556 1,555 10.2 10.7 17 23 18 7.4 10.2 7.9

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . . . 9,567 8,594 12.0 11.6 7,430 7,413 9.4 10.0 65 52 65 6.8 6.1 6.7Altoona, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,408 1,500 11.2 11.6 1,582 1,590 12.6 12.3 12 6 16 8.5 4.0 10.0Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,858 3,538 16.1 15.6 2,098 1,948 8.7 8.6 24 39 21 6.2 11.0 6.1Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 999 940 12.0 11.8 457 474 5.5 5.9 2 6 10 2.0 6.4 10.8Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,887 4,986 16.4 15.6 1,687 1,368 4.7 4.3 37 23 55 6.3 4.6 9.8Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,594 1,648 12.2 12.4 1,412 1,449 10.8 10.9 9 15 19 5.6 9.1 10.5

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,481 2,218 14.0 13.4 1,792 1,700 10.1 10.3 17 21 25 6.9 9.5 11.7Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,265 4,137 12.3 12.8 1,856 1,895 5.4 5.9 23 33 33 5.4 8.0 7.9Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,513 1,528 13.4 13.6 1,326 1,365 11.8 12.2 10 19 24 6.6 12.4 14.1Appleton, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,942 2,803 13.6 13.9 1,399 1,360 6.5 6.7 17 11 24 5.8 3.9 8.7Asheville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,739 4,428 11.9 12.0 4,377 4,187 11.0 11.3 30 35 42 6.3 7.9 10.4Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . 2,434 2,134 13.3 12.8 1,149 1,162 6.3 7.0 10 16 29 4.1 7.5 14.5

Atlanta-Sandy Springs-Marietta, GA . . . . . . . . . . . . . . . . . 82,956 71,734 16.2 16.9 29,321 26,813 5.7 6.3 555 526 612 6.7 7.3 11.3Atlantic City-Hammonton, NJ . . . . . . . . . . . . . . . . . . . . . . 3,633 3,403 13.5 13.5 2,613 2,537 9.7 10.0 30 35 53 8.3 10.3 13.0Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,639 1,457 12.8 12.7 794 771 6.2 6.7 17 15 14 10.4 10.3 10.7Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . . . 7,949 7,571 15.2 15.2 4,651 4,372 8.9 8.8 78 82 104 9.8 10.8 13.1Austin-Round Rock, TX. . . . . . . . . . . . . . . . . . . . . . . . . . 25,375 21,780 16.6 17.4 7,371 6,408 4.8 5.1 134 100 98 5.3 4.6 6.6Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,109 11,689 19.6 17.7 5,392 4,643 7.0 7.0 96 86 129 6.4 7.4 10.3

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . . . 35,643 34,781 13.4 13.6 23,254 23,994 8.7 9.4 296 274 376 8.3 7.9 9.4Bangor, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,589 1,541 10.7 10.6 1,370 1,403 9.3 9.7 14 5 10 8.8 3.2 5.1Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,904 1,996 8.5 9.0 2,682 2,769 12.0 12.5 8 13 25 4.2 6.5 10.1Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,564 10,812 15.1 15.3 6,313 5,452 8.3 7.7 119 85 118 10.3 7.9 11.2Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,799 1,874 13.1 13.6 1,413 1,427 10.3 10.3 17 15 26 9.4 8.0 11.6Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,253 1,289 11.6 11.7 1,135 1,135 10.5 10.3 12 6 12 9.6 4.7 7.1

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . . . 5,337 5,292 14.3 13.7 3,826 3,940 10.2 10.2 43 38 45 8.1 7.2 8.1Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,210 2,077 11.7 12.4 1,318 1,228 7.0 7.4 14 7 14 6.3 3.4 7.9Bend, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,002 1,439 13.5 12.5 1,107 916 7.4 7.9 13 10 5 6.5 6.9 4.7Billings, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,078 1,779 14.1 12.8 1,342 1,230 9.1 8.9 11 7 15 5.3 3.9 8.5Binghamton, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,743 2,825 11.1 11.2 2,583 2,607 10.5 10.3 22 20 26 8.0 7.1 6.8Birmingham-Hoover, AL . . . . . . . . . . . . . . . . . . . . . . . . . 15,713 15,194 14.3 14.5 11,119 10,609 10.1 10.1 164 172 163 10.4 11.3 10.9

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,367 1,168 13.5 12.3 764 794 7.6 8.4 10 6 3 7.3 5.1 2.5Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . . . 1,546 1,652 9.9 10.9 1,301 1,233 8.4 8.1 16 6 16 10.3 3.6 9.7Bloomington, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,898 1,920 10.5 10.9 1,307 1,244 7.2 7.1 18 17 16 9.5 8.9 8.2Bloomington-Normal, IL. . . . . . . . . . . . . . . . . . . . . . . . . . 2,211 1,991 13.7 13.2 1,069 986 6.6 6.6 20 7 8 9.0 3.5 4.4Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,675 7,804 17.1 16.8 3,724 3,116 6.6 6.7 81 53 55 8.4 6.8 10.3

Boston-Cambridge-Quincy, MA-NH . . . . . . . . . . . . . . . . 54,368 58,222 12.2 13.3 34,195 36,250 7.7 8.3 255 266 459 4.7 4.6 7.1Boston-Quincy, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,117 24,551 12.5 13.5 14,312 15,227 7.7 8.4 110 114 201 4.8 4.6 7.3Cambridge-Newton-Framingham, MA. . . . . . . . . . . . . . . 17,806 19,393 12.2 13.2 10,892 11,859 7.4 8.1 79 81 133 4.4 4.2 6.5Peabody, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,030 9,563 12.3 13.2 6,217 6,540 8.5 9.0 39 53 90 4.3 5.5 8.2Rockingham County-Strafford County, NH. . . . . . . . . . . . 4,415 4,715 10.6 12.1 2,774 2,624 6.7 6.7 27 18 35 6.1 3.8 6.1

Boulder, CO4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,416 3,878 12.0 (X) 1,461 1,420 5.1 (X) 15 20 23 4.4 5.2 6.9

Bowling Green, KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,581 1,345 13.9 12.9 880 833 7.7 8.0 14 10 10 8.9 7.4 8.4Bradenton-Sarasota-Venice, FL . . . . . . . . . . . . . . . . . . . . 7,279 5,957 10.7 10.1 8,262 8,286 12.2 14.0 39 46 65 5.4 7.7 11.4Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . . . 3,039 3,109 12.7 13.4 1,741 1,723 7.3 7.4 11 19 24 3.6 6.1 7.0Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . . . 11,897 12,430 13.4 14.1 6,596 7,072 7.4 8.0 60 55 95 5.0 4.4 7.3Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . . . 8,649 8,318 22.9 24.8 2,043 1,808 5.4 5.4 45 30 40 5.2 3.6 6.0Brunswick, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,418 1,304 14.2 14.0 1,046 908 10.5 9.8 12 10 15 8.5 7.7 11.4

Buffalo-Niagara Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . 12,185 13,788 10.8 11.8 11,717 12,402 10.4 10.6 98 105 149 8.0 7.6 8.4Burlington, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,918 1,903 13.6 14.5 1,345 1,342 9.5 10.3 13 30 16 6.8 15.8 10.6Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . . . 2,296 2,332 11.1 11.7 1,382 1,345 6.7 6.8 13 20 19 5.7 8.6 6.8Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . 4,836 5,276 11.9 13.0 4,089 4,142 10.0 10.2 32 36 36 6.6 6.8 6.3Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . . . . . . . 7,490 5,200 13.2 11.8 5,990 5,087 10.5 11.5 52 36 31 6.9 6.9 6.8Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 758 719 13.8 13.7 661 549 12.0 10.5 3 4 2 4.0 5.6 3.3

Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,040 906 14.8 13.6 663 567 9.4 8.5 5 4 10 4.8 4.4 10.7Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,391 3,269 13.6 13.8 2,022 1,845 8.1 7.8 18 14 30 5.3 4.3 9.3Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . . . 2,770 2,705 12.5 12.9 1,504 1,480 6.8 7.0 24 29 23 8.7 10.7 7.8Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,731 3,763 12.3 12.2 3,578 3,658 11.8 11.8 20 33 37 5.4 8.8 9.3Charleston-North Charleston-Summerville, SC . . . . . . . . . . 9,328 7,931 15.1 14.4 4,568 4,499 7.4 8.2 84 58 117 9.0 7.3 11.7Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . . . 25,468 21,811 16.1 16.4 10,904 10,094 6.9 7.6 195 194 193 7.7 8.9 11.1

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,352 2,206 12.4 12.7 1,360 1,421 7.2 8.2 19 17 21 8.1 7.7 10.1Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,572 6,242 12.9 13.1 4,926 4,917 9.7 10.3 65 66 63 9.9 10.6 9.7Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,304 1,162 15.2 14.2 731 660 8.5 8.1 8 7 12 6.1 6.0 10.0Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . . . 139,296 143,767 14.8 15.8 68,018 71,432 7.2 7.9 980 1,218 1,701 7.0 8.5 11.3

Chicago-Naperville-Joliet, IL . . . . . . . . . . . . . . . . . . . . . 117,787 121,574 14.9 15.9 56,497 60,119 7.2 7.9 816 1,084 1,524 6.9 8.9 11.8Gary, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,412 9,471 13.6 14.0 6,326 6,414 9.1 9.5 90 74 93 9.6 7.8 9.5Lake County-Kenosha County, IL-WI . . . . . . . . . . . . . . . 12,097 12,722 14.0 16.0 5,195 4,899 6.0 6.2 74 60 84 6.1 4.7 7.1



Table B–4. Metropolitan Areas — Births, Deaths, and Infant Deaths—Con.




NumberRate per

1,000population1

NumberRate per

1,000population1

NumberRate per

1,000live births3

2006 2000 2006 2000 2006 2000 2006 2000 2006 2000 1990 2006 2000 1990

Chico, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,636 2,197 12.1 10.8 2,336 2,141 10.8 10.5 16 14 21 6.1 6.4 7.9Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . . . 30,215 30,130 14.3 15.0 17,778 17,347 8.4 8.6 276 228 294 9.1 7.6 9.8Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,255 4,472 16.9 19.3 1,947 1,752 7.7 7.6 43 40 27 10.1 8.9 7.4Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,417 1,414 13.0 13.6 1,094 999 10.0 9.6 10 9 8 7.1 6.4 6.4Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . . . 25,958 28,451 12.3 13.2 20,571 21,401 9.8 10.0 217 246 420 8.4 8.6 12.6Coeur d’Alene, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,714 1,507 13.1 13.9 928 873 7.1 8.0 7 10 7 4.1 6.6 7.0

College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . . . 2,918 2,767 14.6 15.0 1,132 1,117 5.7 6.0 17 12 13 5.8 4.3 5.5Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,065 8,502 15.1 15.8 3,499 3,010 5.8 5.6 79 72 70 8.7 8.5 9.3Columbia, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,168 1,913 13.6 13.1 1,002 956 6.3 6.6 10 18 23 4.6 9.4 12.8Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,013 8,991 14.2 13.9 5,702 5,499 8.1 8.5 71 74 105 7.1 8.2 11.6Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,567 4,549 15.8 16.1 2,780 2,699 9.6 9.6 64 68 71 14.0 14.9 14.5Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,094 1,069 14.8 15.0 652 628 8.8 8.8 6 9 5 5.5 8.4 5.0

Columbus, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,767 25,112 15.5 15.6 12,858 12,434 7.4 7.7 213 199 230 8.0 7.9 10.1Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,367 6,720 15.4 16.7 3,285 3,358 8.0 8.3 40 49 54 6.3 7.3 8.2Corvallis, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 800 760 10.0 9.7 510 440 6.4 5.6 2 1 6 2.5 1.3 6.8Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,026 1,129 10.4 11.1 1,211 1,246 12.2 12.2 7 6 11 6.8 5.3 8.9Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . 103,277 92,310 17.2 17.9 33,904 31,737 5.7 6.1 731 494 681 7.1 5.4 9.0

Dallas-Plano-Irving, TX . . . . . . . . . . . . . . . . . . . . . . . . 70,052 63,208 17.4 18.3 21,528 20,177 5.3 5.8 478 314 428 6.8 5.0 8.5Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . . . . . 33,225 29,102 16.9 17.0 12,376 11,560 6.3 6.8 253 180 253 7.6 6.2 9.9

Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,554 2,341 19.4 19.5 1,027 974 7.8 8.1 17 11 11 6.7 4.7 6.3Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,174 1,208 14.4 14.4 939 939 11.5 11.2 7 11 12 6.0 9.1 9.5Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,296 1,333 12.2 12.1 1,349 1,330 12.7 12.1 19 12 20 14.7 9.0 13.3Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . . . 4,880 5,047 13.1 13.4 3,366 3,521 9.0 9.4 24 49 54 4.9 9.7 9.9Dayton, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,749 11,395 12.8 13.4 7,843 8,141 9.3 9.6 67 82 111 6.2 7.2 8.7Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,869 2,019 12.6 13.8 1,531 1,400 10.4 9.6 14 16 15 7.5 7.9 7.5

Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,445 1,445 13.2 12.6 1,217 1,153 11.2 10.1 19 11 20 13.1 7.6 11.6Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . . . 5,251 4,456 10.6 10.1 6,114 5,694 12.4 12.8 36 39 39 6.9 8.8 8.2Denver-Aurora, CO4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,994 35,021 15.8 (X) 14,164 13,078 5.9 (X) 214 209 259 5.6 6.0 9.3Des Moines-West Des Moines, IA. . . . . . . . . . . . . . . . . . . 8,647 7,630 16.2 15.8 3,783 3,731 7.1 7.8 47 55 59 5.4 7.2 9.0Detroit-Warren-Livonia, MI. . . . . . . . . . . . . . . . . . . . . . . 56,808 63,070 12.7 14.2 38,285 39,407 8.5 8.9 442 541 884 7.8 8.6 12.0

Detroit-Livonia-Dearborn, MI . . . . . . . . . . . . . . . . . . . . . 27,412 31,149 13.6 15.1 18,621 20,299 9.3 9.8 273 338 661 10.0 10.9 16.2Warren-Troy-Farmington Hills, MI . . . . . . . . . . . . . . . . . 29,396 31,921 11.9 13.3 19,664 19,108 7.9 8.0 169 203 223 5.7 6.4 6.8

Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,904 1,903 13.9 14.5 1,469 1,389 10.7 10.6 14 18 16 7.4 9.5 8.7Dover, DE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,207 1,942 15.0 15.3 1,227 1,024 8.3 8.1 13 21 29 5.9 10.8 14.2Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,207 1,221 13.2 13.7 872 855 9.5 9.6 8 9 16 6.6 7.4 12.7Duluth, MN-WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,087 2,927 11.3 10.6 2,909 2,949 10.6 10.7 17 19 25 5.5 6.5 7.7Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,695 6,196 14.3 14.6 3,281 3,308 7.0 7.8 42 45 57 6.3 7.3 10.7Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,985 1,790 12.7 12.1 1,238 1,177 7.9 7.9 13 4 9 6.5 2.2 4.7

El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,129 2,640 19.9 18.5 933 862 5.9 6.1 19 12 24 6.1 4.5 8.3Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,800 1,652 16.3 15.4 914 845 8.3 7.9 13 14 12 7.2 8.5 6.2Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,500 3,305 17.8 18.1 1,475 1,468 7.5 8.0 36 31 27 10.3 9.4 9.9Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,018 1,089 11.6 12.0 906 962 10.3 10.6 5 3 15 4.9 2.8 10.8El Paso, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,308 14,293 19.8 21.0 4,384 3,948 6.1 5.8 72 63 90 5.0 4.4 6.0Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,446 3,479 12.3 12.4 2,622 2,745 9.4 9.8 33 23 58 9.6 6.6 13.8

Eugene-Springfield, OR . . . . . . . . . . . . . . . . . . . . . . . . . 3,709 3,705 10.9 11.5 3,037 2,845 8.9 8.8 26 28 25 7.0 7.6 6.4Evansville, IN-KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,666 4,483 13.4 13.1 3,457 3,544 9.9 10.3 40 34 52 8.6 7.6 10.8Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,570 1,538 16.6 18.6 358 330 3.8 4.0 5 12 14 3.2 7.8 8.1Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,764 2,208 14.6 12.7 1,188 1,132 6.3 6.5 20 26 18 7.2 11.8 8.1Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,193 1,953 18.0 17.2 828 709 6.8 6.2 8 13 23 3.6 6.7 11.8Fayetteville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,478 6,334 18.6 18.8 2,360 2,262 6.8 6.7 60 64 57 9.3 10.1 9.2

Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . . . 7,352 5,378 17.4 15.5 2,959 2,793 7.0 8.0 59 32 33 8.0 6.0 9.0Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,062 1,876 16.4 16.1 642 507 5.1 4.4 10 16 22 4.8 8.5 11.2Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,086 6,360 13.9 14.6 3,980 3,920 9.1 9.0 61 78 93 10.0 12.3 12.1Florence, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,825 2,820 14.3 14.6 2,082 2,069 10.5 10.7 37 34 50 13.1 12.1 17.0Florence-Muscle Shoals, AL. . . . . . . . . . . . . . . . . . . . . . . 1,644 1,662 11.5 11.6 1,596 1,511 11.2 10.6 14 10 11 8.5 6.0 6.1Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,188 1,151 12.0 11.8 941 908 9.5 9.3 7 8 9 5.9 7.0 7.1

Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . . . 3,506 3,254 12.5 12.9 1,505 1,498 5.4 6.0 16 16 17 4.6 4.9 6.1Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,245 4,165 14.8 15.2 2,736 2,757 9.6 10.1 31 31 22 7.3 7.4 5.9Fort Walton Beach-Crestview-Destin, FL . . . . . . . . . . . . . . 2,782 2,363 15.2 13.9 1,432 1,327 7.8 7.8 15 15 22 5.4 6.3 8.8Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,190 5,998 15.3 15.4 3,170 3,095 7.8 7.9 55 40 53 8.9 6.7 8.6Fresno, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,877 14,265 19.1 17.8 6,065 5,379 6.9 6.7 106 102 132 6.3 7.2 8.5Gadsden, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,298 1,384 12.6 13.4 1,386 1,320 13.5 12.8 12 11 19 9.2 7.9 14.1

Gainesville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,014 2,784 11.9 12.0 1,830 1,706 7.2 7.3 30 31 33 10.0 11.1 11.5Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,031 2,887 17.7 20.7 1,151 1,021 6.7 7.3 21 16 13 6.9 5.5 7.5Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,233 1,239 9.6 10.0 1,196 1,228 9.3 9.9 10 6 13 8.1 4.8 7.5Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,772 1,764 15.7 15.6 1,063 1,098 9.4 9.7 12 20 20 6.8 11.3 11.7Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,348 1,257 13.8 12.9 799 786 8.2 8.1 6 6 14 4.5 4.8 8.3Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,879 1,473 14.0 12.6 1,280 1,136 9.6 9.7 9 8 12 4.8 5.4 9.4

Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . . . 11,676 11,803 15.1 15.9 5,369 5,484 7.0 7.4 98 106 106 8.4 9.0 8.8Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,166 1,008 14.2 12.5 735 792 9.0 9.9 5 10 12 4.3 9.9 8.9Greeley, CO4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,110 3,171 17.5 (X) 1,243 1,112 5.3 (X) 14 18 17 3.4 5.7 7.7Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,076 3,819 13.7 13.5 2,124 2,139 7.1 7.6 22 24 26 5.4 6.3 6.8Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . . . 8,959 9,250 13.1 14.4 5,890 5,770 8.6 9.0 93 71 77 10.4 7.7 9.7Greenville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,437 2,290 14.5 15.0 1,251 1,234 7.4 8.1 30 19 30 12.3 8.3 15.8







NumberRate per

1,000population1

NumberRate per

1,000population1

NumberRate per

1,000live births3

2006 2000 2006 2000 2006 2000 2006 2000 2006 2000 1990 2006 2000 1990

Greenville-Mauldin-Easley, SC . . . . . . . . . . . . . . . . . . . . . 8,573 7,543 14.3 13.5 5,073 4,968 8.5 8.9 53 41 76 6.2 5.4 10.5Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,345 3,783 14.7 15.4 2,145 2,428 9.4 9.9 40 40 34 12.0 10.6 9.7Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . . . 3,391 2,820 13.3 12.7 2,161 2,064 8.4 9.3 27 18 20 8.0 6.4 7.3Hanford-Corcoran, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 2,685 2,180 18.4 16.8 808 714 5.5 5.5 19 13 28 7.1 6.0 12.3Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . . . 6,500 5,878 12.4 11.5 4,877 4,800 9.3 9.4 44 35 57 6.8 6.0 8.4Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,433 1,311 12.3 12.1 889 835 7.7 7.7 16 5 3 11.2 3.8 2.6

Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . . . 13,494 14,646 11.4 12.8 10,105 10,568 8.5 9.2 90 124 147 6.7 8.5 8.8Hattiesburg, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,239 1,870 16.6 15.1 1,175 1,175 8.7 9.5 15 18 22 6.7 9.6 12.2Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . . . 4,436 4,828 12.5 14.1 3,406 3,187 9.6 9.3 30 41 45 6.8 8.5 10.7Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . . . 1,459 1,620 20.4 22.5 391 346 5.5 4.8 17 22 17 11.7 13.6 10.5Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . . . 3,531 3,667 13.8 15.4 1,550 1,466 6.0 6.2 22 26 21 6.2 7.1 6.6Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,724 12,651 15.2 14.4 6,632 5,835 7.3 6.7 84 105 103 6.1 8.3 6.7

Hot Springs, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,205 1,016 12.7 11.5 1,214 1,229 12.8 14.0 14 7 6 11.6 6.9 6.5Houma-Bayou Cane-Thibodaux, LA . . . . . . . . . . . . . . . . . 3,073 3,016 15.3 15.5 1,750 1,477 8.7 7.6 33 38 33 10.7 12.6 10.1Houston-Sugar Land-Baytown, TX . . . . . . . . . . . . . . . . . . 94,905 83,446 17.3 17.7 30,989 28,319 5.6 6.0 568 431 605 6.0 5.2 8.2Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . . . 3,463 3,471 12.2 12.0 3,267 3,395 11.5 11.8 34 25 28 9.8 7.2 7.8Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,018 4,710 13.3 13.7 2,958 2,761 7.8 8.1 46 25 45 9.2 5.3 9.3Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,381 1,789 20.7 17.6 786 635 6.8 6.2 16 12 14 6.7 6.7 8.3

Indianapolis-Carmel, IN. . . . . . . . . . . . . . . . . . . . . . . . . . 26,256 24,432 15.7 16.0 12,867 12,492 7.7 8.2 207 200 253 7.9 8.2 11.2Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,930 1,672 13.4 12.7 763 709 5.3 5.4 10 8 14 5.2 4.8 8.2Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 853 839 8.5 8.7 561 573 5.6 5.9 4 11 8 4.7 13.1 7.0Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,006 2,122 12.3 13.4 1,508 1,442 9.3 9.1 17 21 25 8.5 9.9 10.4Jackson, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,627 7,851 16.3 15.8 4,488 4,335 8.5 8.7 93 93 103 10.8 11.8 13.3Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,557 1,569 13.9 14.6 1,000 1,074 8.9 10.0 14 16 17 9.0 10.2 12.0

Jacksonville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,981 16,438 14.9 14.6 10,403 9,579 8.1 8.5 158 147 184 8.3 8.9 11.0Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,537 3,331 22.0 22.2 822 751 5.1 5.0 23 29 42 6.5 8.7 12.2Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,125 2,077 13.4 13.6 1,406 1,335 8.9 8.8 12 20 20 5.6 9.6 9.2Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,935 1,728 13.4 12.3 1,163 1,239 8.0 8.8 16 19 17 8.3 11.0 9.7Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,191 2,113 11.5 11.6 2,169 1,952 11.3 10.7 17 17 18 7.8 8.0 9.2Johnstown, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,468 1,570 10.1 10.3 1,889 2,014 12.9 13.2 8 16 15 5.4 10.2 7.9

Jonesboro, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,683 1,646 14.7 15.3 1,083 1,040 9.5 9.7 13 16 14 7.7 9.7 9.8Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,571 2,423 15.3 15.4 1,629 1,640 9.7 10.4 12 18 14 4.7 7.4 7.2Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . . 4,147 4,260 12.9 13.5 2,515 2,548 7.8 8.1 18 31 46 4.3 7.3 9.8Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,639 1,562 14.9 15.0 1,008 1,120 9.2 10.8 15 21 19 9.2 13.4 11.1Kansas City, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . 30,138 27,811 15.4 15.1 15,761 15,093 8.0 8.2 229 169 241 7.6 6.1 8.9Kennewick-Pasco-Richland, WA . . . . . . . . . . . . . . . . . . . . 3,876 3,176 17.4 16.6 1,399 1,255 6.3 6.5 26 23 30 6.7 7.2 10.6

Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . . 7,415 6,637 20.7 20.1 2,248 2,093 6.3 6.3 47 48 55 6.3 7.2 9.4Kingsport-Bristol-Bristol, TN-VA . . . . . . . . . . . . . . . . . . . . 3,287 3,429 10.9 11.5 3,592 3,309 11.9 11.1 16 27 24 4.9 7.9 7.1Kingston, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,874 1,781 10.3 10.0 1,474 1,553 8.1 8.7 11 10 11 5.9 5.6 4.3Knoxville, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,290 7,606 12.4 12.3 6,208 6,037 9.3 9.8 56 37 61 6.8 4.9 8.3Kokomo, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,286 1,363 12.9 13.4 1,017 1,019 10.2 10.0 5 10 18 3.9 7.3 12.2La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,577 1,452 12.1 11.4 1,090 1,083 8.4 8.5 8 10 7 5.1 6.9 4.1

Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,470 2,296 13.1 12.9 1,317 1,314 7.0 7.4 24 22 17 9.7 9.6 7.7Lafayette, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,918 3,631 15.4 15.2 1,979 1,781 7.8 7.5 51 31 34 13.0 8.5 9.4Lake Charles, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,954 2,921 15.5 15.1 1,887 1,749 9.9 9.0 34 28 32 11.5 9.6 11.1Lake Havasu City-Kingman, AZ . . . . . . . . . . . . . . . . . . . . 2,575 1,986 13.4 12.8 2,582 1,973 13.4 12.7 20 16 21 7.8 8.1 13.7Lakeland-Winter Haven, FL . . . . . . . . . . . . . . . . . . . . . . . 8,272 6,877 14.9 14.2 5,575 5,316 10.0 11.0 55 48 67 6.6 7.0 10.3Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,056 6,871 14.3 14.6 4,353 4,265 8.8 9.1 57 45 72 8.1 6.5 9.9Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . . . 5,604 5,867 12.3 13.1 3,201 3,168 7.0 7.1 27 41 72 4.8 7.0 10.8

Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,949 5,777 26.3 29.9 1,033 904 4.6 4.7 31 35 23 5.2 6.1 5.9Las Cruces, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,360 3,034 17.4 17.4 1,219 1,057 6.3 6.1 21 14 27 6.3 4.6 9.3Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . . . 29,797 22,304 16.8 16.2 12,814 10,320 7.2 7.5 194 143 117 6.5 6.4 8.6Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,260 1,182 11.2 11.8 598 540 5.3 5.4 6 7 5 4.8 5.9 4.7Lawton, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,874 1,934 16.7 16.8 897 808 8.0 7.0 21 7 15 11.2 3.6 7.0Lebanon, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,606 1,447 12.7 12.0 1,331 1,285 10.5 10.7 11 8 14 6.8 5.5 9.2

Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 705 673 11.8 11.6 615 595 10.3 10.3 7 6 8 9.9 8.9 11.3Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,411 1,136 13.2 10.9 1,010 1,023 9.4 9.9 11 9 8 7.8 7.9 5.3Lexington-Fayette, KY . . . . . . . . . . . . . . . . . . . . . . . . . . 6,421 5,755 14.6 14.1 3,329 3,244 7.6 7.9 43 50 30 6.7 8.7 5.7Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,432 1,582 13.6 14.6 1,042 1,116 9.9 10.3 12 14 18 8.4 8.8 9.9Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,298 3,966 14.9 14.9 1,819 1,798 6.3 6.7 22 23 23 5.1 5.8 7.0Little Rock-North Little Rock-Conway, AR . . . . . . . . . . . . . . 9,946 9,102 15.1 14.9 5,743 5,317 8.7 8.7 92 88 88 9.2 9.7 9.9

Logan, UT-ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,641 2,405 22.3 23.4 493 530 4.2 5.2 7 12 11 2.7 5.0 5.9Longview, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,303 2,831 16.4 14.6 2,059 2,208 10.2 11.4 26 28 28 7.9 9.9 9.9Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,322 1,290 13.4 13.9 1,018 953 10.3 10.3 9 11 14 6.8 8.5 10.3Los Angeles-Long Beach-Santa Ana, CA . . . . . . . . . . . . 196,214 204,530 15.3 16.5 76,867 75,957 6.0 6.1 963 1,012 2,031 4.9 4.9 7.9

Los Angeles-Long Beach-Glendale, CA . . . . . . . . . . . . . 151,967 157,508 15.5 16.5 59,641 59,352 6.1 6.2 737 780 1,634 4.8 5.0 8.0Santa Ana-Anaheim-Irvine, CA . . . . . . . . . . . . . . . . . . . 44,247 47,022 14.9 16.5 17,226 16,605 5.8 5.8 226 232 397 5.1 4.9 7.7

Louisville/Jefferson County, KY-IN . . . . . . . . . . . . . . . . . . . 16,829 16,341 13.8 14.1 10,871 11,069 8.9 9.5 116 112 139 6.9 6.9 8.7Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,267 3,975 16.0 15.9 2,117 2,011 8.0 8.1 29 31 36 6.8 7.8 8.8Lynchburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,706 2,730 11.3 11.9 2,373 2,291 9.9 10.0 24 19 20 8.9 7.0 6.8Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,419 3,363 14.9 15.1 2,268 2,256 9.9 10.1 48 36 60 14.0 10.7 17.2Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,622 2,109 18.3 17.1 994 883 6.9 7.2 13 12 6 5.0 5.7 3.3Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,062 6,439 12.9 12.8 3,273 3,219 6.0 6.4 27 31 42 3.8 4.8 6.7







NumberRate per

1,000population1

NumberRate per

1,000population1

NumberRate per

1,000live births3

2006 2000 2006 2000 2006 2000 2006 2000 2006 2000 1990 2006 2000 1990

Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . . . 4,976 5,016 12.4 13.2 2,975 2,788 7.4 7.3 31 27 43 6.2 5.4 7.4Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,630 1,598 12.9 12.4 1,288 1,211 10.2 9.4 10 10 25 6.1 6.3 13.3McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . . . 17,111 15,361 24.9 27.0 3,316 2,729 4.8 4.8 94 77 58 5.5 5.0 5.4Medford, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,274 2,051 11.6 11.3 2,073 1,878 10.5 10.4 14 6 18 6.2 2.9 8.6Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,723 19,784 16.3 16.4 10,432 10,904 8.2 9.0 266 244 284 12.8 12.3 14.1Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,743 3,875 19.7 18.4 1,493 1,320 6.2 6.3 25 19 33 5.3 4.9 7.6

Miami-Fort Lauderdale-Pompano Beach, FL . . . . . . . . . . 72,863 67,725 13.5 13.5 46,623 47,632 8.6 9.5 452 410 646 6.2 6.1 9.8Fort Lauderdale-Pompano Beach-Deerfield Beach, FL . . . 23,431 22,093 13.3 13.6 15,071 16,023 8.5 9.9 147 129 174 6.3 5.8 9.3Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . . . . 33,746 32,306 14.2 14.3 18,261 18,540 7.7 8.2 218 186 337 6.5 5.8 9.8West Palm Beach-Boca Raton-Boynton Beach, FL . . . . . . 15,686 13,326 12.4 11.8 13,291 13,069 10.5 11.6 87 95 135 5.5 7.1 10.4

Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . . . . 1,335 1,442 12.2 13.1 1,069 1,069 9.8 9.7 12 10 12 9.0 6.9 7.7Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,089 1,844 16.9 15.9 916 894 7.4 7.7 9 12 18 4.3 6.5 8.4

Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . . . 21,724 21,574 14.1 14.4 12,693 13,251 8.2 8.8 188 180 222 8.7 8.3 9.5Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . . . 47,349 44,288 15.0 14.9 18,664 18,856 5.9 6.4 246 221 332 5.2 5.0 7.7Missoula, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,230 1,142 11.8 11.9 677 642 6.5 6.7 4 7 14 3.3 6.1 12.8Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,131 6,359 15.3 15.9 4,001 3,995 10.0 10.0 49 68 72 8.0 10.7 10.9Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,728 7,249 17.3 16.2 3,718 3,412 7.4 7.6 65 51 64 7.4 7.0 8.1Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,755 2,700 16.0 15.9 1,686 1,671 9.8 9.8 35 35 33 12.7 13.0 12.1

Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,759 1,859 11.5 12.7 1,286 1,172 8.4 8.0 15 9 9 8.5 4.8 4.8Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,328 5,449 14.7 15.7 3,352 3,003 9.2 8.7 55 36 68 10.3 6.6 12.3Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,269 1,133 10.9 10.2 902 1,032 7.7 9.3 11 6 18 8.7 5.3 13.9Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,736 1,642 13.2 13.3 1,324 1,248 10.0 10.1 11 9 15 6.3 5.5 11.1Mount Vernon-Anacortes, WA . . . . . . . . . . . . . . . . . . . . . 1,504 1,396 13.2 13.6 1,022 940 9.0 9.1 2 11 10 1.3 7.9 8.1Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,225 1,435 10.6 12.1 1,239 1,188 10.7 10.0 7 21 17 5.7 14.6 10.9

Muskegon-Norton Shores, MI. . . . . . . . . . . . . . . . . . . . . . 2,364 2,393 13.6 14.1 1,646 1,623 9.5 9.5 13 18 24 5.5 7.5 8.7Myrtle Beach-North Myrtle Beach-Conway, SC . . . . . . . . . . 3,340 2,570 13.9 13.1 2,239 1,941 9.3 9.9 28 23 24 8.4 8.9 10.3Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,755 1,496 13.4 12.0 1,209 1,300 9.2 10.5 11 6 10 6.3 4.0 6.7Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . . . 4,292 3,067 13.8 12.2 2,609 2,363 8.4 9.4 28 17 19 6.5 5.5 7.6Nashville-Davidson—Murfreesboro—Franklin, TN . . . . . . . . 22,468 19,521 15.1 14.9 11,352 10,544 7.6 8.0 168 136 147 7.5 7.0 8.7New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . . . 10,248 10,139 12.2 12.3 7,643 7,973 9.1 9.7 75 65 98 7.3 6.4 7.9

New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . . . 13,422 19,411 13.5 14.7 9,481 12,137 9.6 9.2 115 133 250 8.6 6.9 11.4New York-Northern New Jersey-Long Island, NY-NJ-PA . . 257,534 264,414 13.7 14.4 136,576 147,476 7.2 8.0 1,320 1,573 2,804 5.1 5.9 9.9

Edison-New Brunswick, NJ. . . . . . . . . . . . . . . . . . . . . . 29,990 29,558 13.0 13.6 19,430 20,254 8.4 9.3 143 155 219 4.8 5.2 7.5Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . 34,350 37,295 12.0 13.5 21,572 22,431 7.5 8.1 154 190 320 4.5 5.1 8.1Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . . . 28,626 29,966 13.5 14.3 15,989 17,723 7.5 8.4 145 194 306 5.1 6.5 9.7New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . . . 164,568 167,595 14.2 14.8 79,585 87,068 6.9 7.7 878 1,034 1,959 5.3 6.2 10.7

Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . 2,124 2,235 13.3 13.8 1,624 1,604 10.2 9.9 17 19 41 8.0 8.5 15.6Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . . . 3,042 2,455 11.4 9.5 2,244 1,957 8.4 7.6 20 18 37 6.6 7.3 9.1Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,604 2,902 11.5 11.2 3,997 3,389 12.7 13.1 39 19 26 10.8 6.5 9.4Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 915 1,047 9.4 10.2 1,286 1,361 13.2 13.3 7 8 10 7.7 7.6 7.3Odessa, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,490 2,147 19.7 17.7 1,124 1,015 8.9 8.4 16 22 17 6.4 10.2 7.5Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,194 8,877 20.3 20.1 2,749 2,494 5.5 5.6 52 49 60 5.1 5.5 8.5

Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,540 16,266 15.8 14.8 9,875 9,719 8.4 8.9 148 158 169 8.0 9.7 11.3Olympia, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,769 2,549 11.9 12.3 1,851 1,550 7.9 7.5 15 10 16 5.4 3.9 6.8Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . . . 13,432 11,964 16.4 15.6 5,924 5,757 7.2 7.5 80 91 85 6.0 7.6 7.2Orlando-Kissimmee, FL. . . . . . . . . . . . . . . . . . . . . . . . . . 29,151 23,643 14.6 14.4 14,205 13,032 7.1 7.9 232 131 155 8.0 5.5 7.6Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,887 1,926 11.8 12.3 1,324 1,196 8.3 7.6 16 16 10 8.5 8.3 5.2Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,599 1,607 14.4 14.6 1,080 1,119 9.7 10.2 12 13 12 7.5 8.1 7.9

Oxnard-Thousand Oaks-Ventura, CA. . . . . . . . . . . . . . . . . 12,460 11,768 15.7 15.6 4,923 4,802 6.2 6.4 68 48 99 5.5 4.1 7.8Palm Bay-Melbourne-Titusville, FL . . . . . . . . . . . . . . . . . . 5,609 5,015 10.6 10.5 5,748 5,282 10.8 11.1 45 26 32 8.0 5.2 5.6Palm Coast, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 939 414 11.4 8.3 854 596 10.4 12.0 7 2 5 7.5 4.8 16.6Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . . 2,443 2,012 14.9 13.6 1,519 1,433 9.3 9.7 27 10 22 11.1 5.0 10.7Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . . . 1,753 1,858 10.9 11.3 1,717 1,863 10.7 11.3 14 9 24 8.0 4.8 11.1Pascagoula, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,296 2,257 15.4 15.0 1,421 1,392 9.5 9.2 17 17 11 7.4 7.5 5.3Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . . . 6,326 5,346 14.0 13.0 3,914 3,725 8.7 9.0 53 54 51 8.4 10.1 8.7

Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,962 4,913 13.5 13.4 3,563 3,611 9.7 9.8 43 45 61 8.7 9.2 11.6Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . 78,667 76,079 13.6 13.4 52,600 55,252 9.1 9.7 668 573 958 8.5 7.5 10.6

Camden, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,124 15,437 13.0 13.0 10,555 10,544 8.5 8.9 114 100 159 7.1 6.5 8.6Philadelphia, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,003 51,569 13.7 13.4 36,474 39,209 9.4 10.2 465 390 703 8.8 7.6 11.3Wilmington, DE-MD-NJ . . . . . . . . . . . . . . . . . . . . . . . . 9,540 9,073 13.9 13.9 5,571 5,499 8.1 8.5 89 83 96 9.3 9.1 10.2

Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . . 70,770 57,119 17.5 17.6 27,516 24,272 6.8 7.5 439 383 380 6.2 6.7 8.9

Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,420 1,554 13.8 14.5 1,065 1,134 10.4 10.6 16 13 18 11.3 8.4 10.4Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24,404 26,235 10.3 10.8 27,166 28,229 11.5 11.6 163 215 289 6.7 8.2 9.0Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,240 1,205 9.5 8.9 1,461 1,560 11.2 11.6 – 3 12 – 2.5 6.6Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,569 1,494 18.0 18.0 635 606 7.3 7.3 10 9 11 6.4 6.0 8.7Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . . . 5,546 5,478 10.8 11.2 4,372 4,295 8.6 8.8 34 29 41 6.1 5.3 6.2Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . . . 29,699 28,467 14.0 14.8 15,151 14,349 7.1 7.4 136 134 194 4.6 4.7 7.9

Port St. Lucie, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,935 3,491 12.7 10.9 4,147 3,962 10.7 12.4 34 26 42 6.9 7.4 11.1Poughkeepsie-Newburgh-Middletown, NY . . . . . . . . . . . . . 8,581 8,364 12.9 13.5 4,685 4,689 7.0 7.5 37 44 64 4.3 5.3 6.9Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,385 1,755 11.6 10.5 2,417 1,914 11.7 11.4 19 13 8 8.0 7.4 6.5Providence-New Bedford-Fall River, RI-MA. . . . . . . . . . . . . 19,015 19,258 11.9 12.2 14,566 15,137 9.1 9.6 114 109 157 6.0 5.7 6.8Provo-Orem, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,912 10,050 24.3 26.7 1,907 1,607 3.9 4.3 55 51 47 4.6 5.1 6.9Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,147 1,945 14.2 13.7 1,471 1,387 9.7 9.8 13 8 17 6.1 4.1 9.6







NumberRate per

1,000population1

NumberRate per

1,000population1

NumberRate per

1,000live births3

2006 2000 2006 2000 2006 2000 2006 2000 2006 2000 1990 2006 2000 1990

Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,200 1,034 7.9 7.3 2,135 2,206 14.0 15.6 2 8 9 1.7 7.7 8.5Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,656 2,651 13.4 14.0 1,610 1,614 8.1 8.5 32 17 26 12.0 6.4 9.6Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,945 12,995 16.0 16.3 5,214 4,662 5.2 5.8 108 97 86 6.8 7.5 9.7Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,961 1,726 16.5 15.3 878 828 7.4 7.3 10 17 16 5.1 9.8 7.8Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,171 4,711 13.0 12.6 3,492 3,624 8.8 9.7 36 31 44 7.0 6.6 8.9Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,190 1,831 12.3 11.2 1,994 1,651 11.2 10.1 10 11 20 4.6 6.0 8.7

Reno-Sparks, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,186 5,014 15.4 14.6 3,071 2,557 7.7 7.5 45 34 39 7.3 6.8 8.6Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,215 14,884 13.6 13.6 9,715 9,731 8.1 8.9 108 124 176 6.7 8.3 11.3Riverside-San Bernardino-Ontario, CA. . . . . . . . . . . . . . . . 68,319 53,568 17.2 16.5 26,427 23,333 6.6 7.2 400 368 550 5.9 6.9 9.4Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,575 3,392 12.2 11.8 3,227 3,141 11.0 10.9 31 30 42 8.7 8.8 11.6Rochester, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,765 2,399 15.5 14.7 1,144 1,065 6.4 6.5 10 15 20 3.6 6.3 8.3Rochester, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,298 13,037 11.9 12.6 8,720 8,981 8.4 8.7 94 109 156 7.6 8.4 9.5

Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,839 4,610 14.0 14.4 2,781 2,790 8.1 8.7 42 43 41 8.7 9.3 8.9Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,916 2,158 13.3 15.1 1,490 1,535 10.3 10.7 21 27 22 11.0 12.5 9.8Rome, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,503 1,329 15.8 14.7 993 1,019 10.5 11.3 17 11 21 11.3 8.3 15.7Sacramento—Arden-Arcade—Roseville, CA . . . . . . . . . . . . 30,540 25,169 14.9 14.0 14,939 13,145 7.3 7.3 152 146 225 5.0 5.8 8.5Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . . . 2,552 2,831 12.5 13.5 2,132 2,031 10.4 9.7 18 28 46 7.1 9.9 12.4St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,611 2,324 14.2 13.9 1,061 1,126 5.8 6.7 15 15 19 5.7 6.5 8.5

St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,755 1,814 21.7 20.1 935 670 7.4 7.4 10 9 6 3.6 5.0 6.4St. Joseph, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,696 1,567 13.6 12.7 1,331 1,316 10.7 10.6 12 9 13 7.1 5.7 8.0St. Louis, MO-IL5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,544 36,660 13.5 13.6 25,163 25,357 9.0 9.4 272 287 412 7.2 7.8 9.7Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,746 5,281 15.2 15.2 2,990 2,917 7.9 8.4 33 33 36 5.7 6.2 7.9Salinas, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,476 6,717 18.5 16.7 2,386 2,364 5.9 5.9 32 39 61 4.3 5.8 7.7Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,614 1,443 13.7 13.2 1,130 1,100 9.6 10.1 14 19 17 8.7 13.2 11.9

Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,816 19,766 19.4 20.4 5,712 5,342 5.3 5.5 113 109 119 5.4 5.5 7.6San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,682 1,625 15.6 15.4 947 1,036 8.8 9.8 6 18 9 3.6 11.1 5.4San Antonio, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,405 28,449 16.3 16.6 13,583 12,721 7.0 7.4 186 145 181 5.9 5.1 7.1San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . . . 46,898 44,337 16.0 15.8 19,294 19,741 6.6 7.0 216 263 367 4.6 5.9 7.2Sandusky, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 841 951 10.9 12.0 809 811 10.4 10.2 6 8 10 7.1 8.4 9.3

San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . . . 55,795 57,297 13.4 13.9 28,449 29,642 6.8 7.2 222 268 449 4.0 4.7 7.4Oakland-Fremont-Hayward, CA. . . . . . . . . . . . . . . . . . . 34,636 35,385 14.1 14.8 16,200 16,565 6.6 6.9 146 168 292 4.2 4.7 7.9San Francisco-San Mateo-Redwood City, CA . . . . . . . . . 21,159 21,912 12.2 12.7 12,249 13,077 7.1 7.6 76 100 157 3.6 4.6 6.5

San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . . . 27,833 28,562 15.8 16.5 9,209 9,130 5.2 5.3 106 128 159 3.8 4.5 5.5San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . . . 2,728 2,436 10.5 9.9 2,108 1,987 8.1 8.1 10 11 26 3.7 4.5 8.6Santa Barbara-Santa Maria-Goleta, CA . . . . . . . . . . . . . . . 6,169 5,685 15.4 14.2 2,803 2,932 7.0 7.3 32 33 45 5.2 5.8 6.7

Santa Cruz-Watsonville, CA. . . . . . . . . . . . . . . . . . . . . . . 3,600 3,675 14.4 14.4 1,543 1,698 6.2 6.6 15 16 20 4.2 4.4 4.6Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,690 1,640 12.0 12.7 904 764 6.4 5.9 7 13 11 4.1 7.9 7.6Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . . . . . . . . . . 5,896 5,652 12.8 12.3 3,707 3,843 8.0 8.4 20 27 29 3.4 4.8 4.7Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,133 4,467 16.0 15.2 2,829 2,642 8.8 9.0 62 35 57 12.1 7.8 11.9Scranton—Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . 5,794 5,475 10.6 9.8 7,066 7,702 12.9 13.7 47 36 41 8.1 6.6 6.0

Seattle-Tacoma-Bellevue, WA . . . . . . . . . . . . . . . . . . . . 44,469 41,226 13.7 13.5 21,205 20,570 6.5 6.8 196 201 303 4.4 4.9 7.2Seattle-Bellevue-Everett, WA . . . . . . . . . . . . . . . . . . . . 33,327 31,049 13.4 13.3 15,761 15,393 6.3 6.6 138 138 205 4.1 4.4 6.6Tacoma, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,142 10,177 14.6 14.5 5,444 5,177 7.1 7.4 58 63 98 5.2 6.2 9.3

Sebastian-Vero Beach, FL. . . . . . . . . . . . . . . . . . . . . . . . 1,412 1,129 10.9 10.0 1,672 1,497 12.9 13.3 6 10 9 4.2 8.9 8.1Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,420 1,439 12.5 12.8 1,100 1,084 9.7 9.6 5 14 9 3.5 9.7 6.4Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . . . . . . . 1,557 1,550 13.3 14.0 1,291 1,306 11.1 11.8 7 8 12 4.5 5.2 8.3Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . . . 5,999 5,788 15.5 15.4 3,788 3,707 9.8 9.9 61 76 68 10.2 13.1 10.9

Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,341 2,324 16.5 16.2 1,250 1,300 8.8 9.1 17 10 31 7.3 4.3 14.2Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,535 2,835 16.0 15.2 1,559 1,412 7.0 7.5 26 13 26 7.4 4.6 10.5South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . 4,521 4,556 14.3 14.4 2,941 2,873 9.3 9.1 46 33 49 10.2 7.2 10.7Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,888 3,344 14.4 13.2 2,522 2,602 9.4 10.3 28 22 34 7.2 6.6 9.9Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,988 5,667 13.4 13.6 3,736 3,670 8.4 8.8 27 27 37 4.5 4.8 6.6Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,637 2,796 12.8 13.9 1,928 1,921 9.4 9.5 23 21 22 8.7 7.5 7.7

Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,703 7,857 11.2 11.6 6,350 6,722 9.2 9.9 45 31 69 5.8 3.9 7.0Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,670 5,075 13.8 13.8 3,710 3,483 9.0 9.5 47 39 31 8.3 7.7 7.5Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,805 1,928 12.8 13.3 1,519 1,628 10.8 11.2 14 9 20 7.8 4.7 9.4State College, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,351 1,278 9.4 9.4 865 864 6.0 6.4 5 3 15 3.7 2.3 9.8Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,784 9,606 17.8 17.0 4,649 4,221 7.0 7.5 69 66 86 5.9 6.9 8.7Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,711 1,742 16.4 16.6 990 948 9.5 9.1 13 15 23 7.6 8.6 12.1

Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,611 8,272 11.8 12.7 5,595 5,762 8.7 8.9 52 67 90 6.8 8.1 8.5Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,501 4,123 13.0 12.9 2,349 2,375 6.8 7.4 39 42 52 8.7 10.2 13.1Tampa-St. Petersburg-Clearwater, FL . . . . . . . . . . . . . . . . 33,791 29,208 12.6 12.2 28,476 28,577 10.6 11.9 265 209 296 7.8 7.2 10.2Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,130 2,172 12.5 12.7 1,834 2,074 10.8 12.1 18 16 26 8.5 7.4 11.4Texarkana, TX-Texarkana, AR . . . . . . . . . . . . . . . . . . . . . 1,894 1,813 14.2 14.0 1,306 1,373 9.8 10.6 13 12 18 6.9 6.6 9.8Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,768 9,067 13.5 13.8 6,119 6,366 9.4 9.7 79 63 96 9.0 6.9 9.0

Topeka, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,239 3,089 14.2 13.8 2,228 2,295 9.8 10.2 19 29 28 5.9 9.4 9.0Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,671 4,705 12.9 13.4 2,903 3,091 8.0 8.8 39 39 56 8.3 8.3 11.1Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,953 12,516 14.3 14.8 7,957 7,364 8.2 8.7 103 76 93 7.4 6.1 8.1Tulsa, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,704 13,151 15.4 15.3 8,337 7,832 9.4 9.1 109 110 105 8.0 8.4 8.5Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,671 2,746 13.2 14.2 1,758 1,784 8.7 9.2 25 40 28 9.4 14.6 10.8Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,050 2,653 15.7 15.2 1,677 1,703 8.6 9.7 19 25 18 6.2 9.4 7.7







NumberRate per

1,000population1

NumberRate per

1,000population1

NumberRate per

1,000live births3

2006 2000 2006 2000 2006 2000 2006 2000 2006 2000 1990 2006 2000 1990

Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,245 3,163 11.0 10.5 3,120 3,303 10.6 11.0 22 32 33 6.8 10.1 7.2Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,170 1,811 16.9 15.1 1,020 1,022 8.0 8.5 24 20 28 11.1 11.0 16.4Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,806 5,902 14.3 15.0 2,778 2,590 6.8 6.6 28 27 57 4.8 4.6 8.5Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,797 1,754 16.0 15.7 1,021 900 9.1 8.1 11 10 20 6.1 5.7 12.0Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . 2,404 2,032 15.6 13.9 1,411 1,531 9.2 10.5 13 27 20 5.4 13.3 8.6

Virginia Beach-Norfolk-Newport News, VA-NC. . . . . . . . . . . 24,392 23,533 14.7 14.9 12,209 11,895 7.3 7.5 233 210 384 9.6 8.9 14.1Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,286 7,261 20.1 19.7 2,785 2,646 6.8 7.2 46 49 57 5.6 6.7 7.9Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,467 3,288 15.4 15.4 2,028 1,990 9.0 9.3 25 25 22 7.2 7.6 7.2Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,034 1,596 15.9 14.4 854 761 6.7 6.9 19 14 18 9.3 8.8 11.9Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . 81,437 73,578 15.5 15.3 30,107 29,838 5.7 6.2 543 466 764 6.7 6.3 10.6

Bethesda-Frederick-Gaithersburg, MD . . . . . . . . . . . . . . 16,904 16,070 14.6 15.0 6,603 6,524 5.7 6.1 101 55 111 6.0 3.4 7.2Washington-Arlington-Alexandria, DC-VA-MD-WV. . . . . . . 64,533 57,508 15.7 15.4 23,504 23,314 5.7 6.3 442 411 653 6.8 7.1 11.4

Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . . . 2,212 1,936 13.6 11.8 1,444 1,507 8.9 9.2 16 15 18 7.2 7.7 8.6Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,633 1,521 12.7 12.1 933 923 7.2 7.3 8 9 16 4.9 5.9 9.5Weirton-Steubenville, WV-OH. . . . . . . . . . . . . . . . . . . . . . 1,262 1,410 10.2 10.7 1,681 1,749 13.6 13.2 12 10 12 9.5 7.1 7.9Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,525 1,437 14.5 14.5 824 814 7.9 8.2 3 4 13 2.0 2.8 9.0Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,491 1,579 10.2 10.3 1,805 1,912 12.3 12.5 11 13 16 7.4 8.2 8.3Wichita, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,453 9,384 16.1 16.4 4,973 4,887 8.5 8.6 64 64 103 6.8 6.8 11.3

Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,111 2,068 14.1 13.6 1,465 1,444 9.8 9.5 16 25 18 7.6 12.1 8.1Williamsport, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,357 1,342 11.6 11.2 1,185 1,267 10.1 10.6 8 8 14 5.9 6.0 8.2Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,092 3,366 12.5 12.3 2,913 2,436 8.9 8.9 21 19 20 5.1 5.6 6.8Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,639 1,404 13.8 13.6 956 835 8.1 8.1 14 8 10 8.5 5.7 7.4Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,448 6,122 14.2 14.5 4,025 3,927 8.9 9.3 68 72 61 10.5 11.8 11.4Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,913 10,012 12.7 13.3 6,464 6,715 8.3 9.0 51 50 86 5.1 5.0 7.6

Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,358 4,253 18.9 19.1 1,752 1,694 7.6 7.6 31 31 45 7.1 7.3 11.2York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,165 4,526 12.5 11.9 3,375 3,353 8.2 8.8 39 26 32 7.6 5.7 6.5Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . . . 6,308 7,057 10.9 11.7 6,806 7,104 11.8 11.8 37 56 88 5.9 7.9 10.7Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,919 2,225 18.3 16.0 1,200 1,267 7.5 9.1 12 17 25 4.1 7.6 9.5Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,378 3,030 18.2 18.9 1,222 968 6.6 6.0 18 16 20 5.3 5.3 7.4

– Represents zero. X Not applicable.

1Per resident population estimated as of July 1 of the year indicated.2Deaths of infants under 1 year.3Infant deaths per 1,000 live registered births.4The 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,




Survey, Census, or Data Collection Method: For information, see Appendix B, Limitations of the Data and Methodology, and Internet site <http://wonder.cdc.gov/>.

Source: U.S. National Center for Health Statistics, Division of Vital Statistics, accessed June 5, 2009 (related Internet site <http://wonder.cdc.gov/>), and unpublished data.


Table B–5. Metropolitan Areas — Population Characteristics: 2005–2007



Households

Foreign-bornpop-

ulation(percent-

age oftotal)

Speakinglanguage

other thanEnglish

at home,people

5 yearsand over(percent-

age)

Workers 16years and over

Total

Family

With oneor morepeople

65 yearsand over

Drovealone

to work(percent-

age)

Meantraveltime

to work(minutes)Total

With own childrenunder 18

Total

Singleparenthouse-

hold(percent-

age)

Abilene, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,536 40,966 18,578 31.0 15,017 3.9 14.1 80.3 16.6Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279,518 181,540 80,627 31.6 65,478 3.4 4.9 85.8 22.6Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,574 41,726 19,861 44.6 13,549 1.6 (NA) 80.9 19.6Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . . . 337,537 210,008 95,669 32.6 80,616 5.9 8.4 80.3 21.7Albuquerque, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 320,462 202,916 97,047 36.9 67,685 9.4 29.8 78.2 23.4Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,460 39,618 18,796 38.3 14,085 2.2 4.8 83.1 22.2

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . . . 305,867 210,583 94,456 28.1 81,463 6.9 14.0 81.7 26.9Altoona, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,384 34,157 14,129 30.1 14,888 1.0 2.9 81.4 20.1Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,799 58,785 28,509 32.8 18,110 7.5 18.1 81.5 17.0Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,467 17,761 7,852 20.6 5,442 8.8 9.7 73.2 16.3Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,200 85,609 44,656 31.3 15,719 7.4 12.9 74.9 21.0Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,392 33,692 14,400 37.4 13,764 1.1 (NA) 84.3 24.2

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,821 49,356 21,020 32.2 17,172 2.4 3.6 84.2 22.7Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,861 79,645 37,958 26.1 21,311 11.4 14.3 75.9 22.0Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,849 31,626 13,246 36.5 12,412 2.3 (NA) 88.2 23.3Appleton, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85,071 58,490 29,327 20.6 16,397 3.4 6.6 85.0 18.7Asheville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169,116 109,632 42,912 29.1 48,174 5.0 6.8 79.1 21.4Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . 68,554 41,199 19,266 35.1 12,096 7.7 10.3 77.8 20.9

Atlanta-Sandy Springs-Marietta, GA . . . . . . . . . . . . . . . . . 1,820,162 1,235,682 632,730 30.3 281,769 12.6 15.5 77.9 30.8Atlantic City-Hammonton, NJ . . . . . . . . . . . . . . . . . . . . . . 102,672 67,709 32,711 35.4 25,252 14.2 22.9 73.9 23.0Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,996 31,183 16,284 35.0 8,019 3.9 5.1 81.4 19.9Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . . . 197,580 137,459 63,717 38.1 44,083 3.4 5.7 79.7 22.0Austin-Round Rock, TX. . . . . . . . . . . . . . . . . . . . . . . . . . 560,375 347,432 181,246 28.1 76,298 14.1 27.6 75.2 25.3Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235,842 175,318 99,678 36.0 47,461 20.4 39.5 74.4 22.5

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . . . 998,382 652,199 301,505 33.5 227,576 7.5 9.9 75.9 28.9Bangor, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,477 37,923 16,556 32.7 14,336 2.4 4.8 78.7 21.8Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,989 63,277 23,227 25.0 35,866 7.8 7.8 81.8 22.9Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279,761 187,394 87,791 36.9 55,142 3.1 6.0 83.3 26.4Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,257 36,435 16,931 40.5 13,294 3.1 5.8 82.6 19.2Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,733 29,806 12,550 29.2 11,811 1.9 3.9 85.0 20.9

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . . . 141,740 98,156 43,303 36.6 36,035 6.3 11.2 83.3 20.8Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,831 46,056 20,910 26.2 15,909 11.7 11.5 74.1 19.7Bend, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,302 41,079 18,214 22.6 13,977 5.1 6.7 77.3 18.7Billings, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,100 37,767 16,893 25.5 13,998 1.8 4.3 78.9 17.5Binghamton, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,631 62,959 27,523 34.6 27,672 5.1 7.7 81.4 19.8Birmingham-Hoover, AL . . . . . . . . . . . . . . . . . . . . . . . . . 429,594 294,697 131,547 31.7 99,284 3.3 4.8 83.7 25.9

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,532 26,083 11,864 23.6 9,283 1.5 5.6 79.6 16.8Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . . . 59,507 34,855 14,888 29.2 12,747 4.6 6.1 78.3 19.3Bloomington, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,901 39,914 17,234 32.1 13,916 4.8 6.1 77.6 21.3Bloomington-Normal, IL. . . . . . . . . . . . . . . . . . . . . . . . . . 61,177 39,115 19,102 25.3 10,656 4.4 6.6 77.7 17.4Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . 212,275 147,365 75,696 25.0 39,201 6.5 11.7 78.9 21.6

Boston-Cambridge-Quincy, MA-NH . . . . . . . . . . . . . . . . 1,684,779 1,072,793 511,981 26.6 387,403 15.9 21.1 70.5 28.4Boston-Quincy, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 696,066 424,437 202,644 30.2 159,352 17.7 22.7 63.6 30.0Cambridge-Newton-Framingham, MA. . . . . . . . . . . . . . . 556,748 358,005 169,407 21.0 129,190 17.8 22.7 71.4 27.4Peabody, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273,755 182,095 88,213 31.0 67,671 13.7 22.1 78.1 27.0Rockingham County-Strafford County, NH. . . . . . . . . . . . 158,210 108,256 51,717 22.7 31,190 4.7 7.0 83.5 27.7

Boulder, CO1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113,419 67,695 34,884 27.2 16,720 11.6 16.7 67.8 21.3

Bowling Green, KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,622 29,507 13,251 30.2 8,739 5.1 (NA) 81.4 20.4Bradenton-Sarasota-Venice, FL . . . . . . . . . . . . . . . . . . . . 299,995 189,049 62,794 32.3 120,333 12.0 14.1 79.1 22.3Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . . . 91,579 62,099 27,992 28.4 19,146 6.2 8.8 68.1 29.2Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . . . 324,360 227,268 113,875 23.2 80,303 19.4 26.1 73.9 28.1Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . . . 114,787 93,173 51,606 29.8 29,920 25.4 73.7 78.0 19.7Brunswick, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,019 25,746 10,999 38.1 10,077 3.6 (NA) 81.7 21.4

Buffalo-Niagara Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . 465,947 290,064 130,448 34.8 124,206 4.9 8.2 81.8 20.5Burlington, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,608 39,387 18,337 37.6 13,296 8.1 11.7 82.0 21.8Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . . . 80,394 50,360 24,527 32.0 15,149 5.0 7.4 73.5 21.5Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . 161,150 110,204 48,353 34.6 42,066 2.1 3.9 85.6 21.4Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . . . . . . . 243,673 161,264 57,785 30.9 86,041 14.4 19.4 78.8 25.4Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,330 13,783 6,061 38.9 6,167 11.5 18.0 79.1 16.5

Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,359 17,623 8,166 31.7 5,898 1.7 4.6 82.5 16.6Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,404 65,608 31,584 31.6 22,043 2.3 3.9 81.8 18.5Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . . . 87,476 49,736 22,954 30.7 15,962 8.3 12.2 70.8 17.3Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126,252 84,427 33,804 30.3 33,401 1.2 1.9 81.4 23.5Charleston-North Charleston-Summerville, SC . . . . . . . . . . 234,599 153,158 68,438 36.9 48,064 4.3 5.9 81.2 23.7Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . . . 616,835 412,246 202,038 31.2 106,930 9.0 11.9 79.7 25.2

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,147 46,233 20,574 29.6 17,677 6.8 9.3 73.1 22.7Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . . . 202,514 135,824 56,824 31.6 48,989 3.2 4.3 82.4 22.5Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,640 22,251 9,716 36.0 6,843 3.1 (NA) 81.7 15.3Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . . . 3,385,546 2,282,515 1,126,697 28.1 729,301 17.6 27.8 71.5 30.9

Chicago-Naperville-Joliet, IL . . . . . . . . . . . . . . . . . . . . . 2,829,188 1,887,830 932,314 28.3 612,288 18.8 29.7 69.7 31.4Gary, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262,903 180,660 80,704 35.6 62,512 5.5 12.2 83.3 26.6Lake County-Kenosha County, IL-WI . . . . . . . . . . . . . . . 293,455 214,025 113,679 21.7 54,501 15.8 23.8 79.1 29.7



Table B–5. Metropolitan Areas — Population Characteristics: 2005–2007—Con.



Households

Foreign-bornpop-

ulation(percent-

age oftotal)

Speakinglanguage

other thanEnglish

at home,people


age)


Total

Family


65 yearsand over

Drovealone

to work(percent-

age)

Meantraveltime



Total

Singleparenthouse-

hold(percent-

age)

Chico, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,607 49,589 22,143 34.9 22,607 7.5 14.5 75.9 20.8Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . . . 803,129 532,442 257,114 32.1 171,517 3.5 4.9 82.4 23.4Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92,608 67,736 35,203 32.8 17,619 3.5 7.3 81.4 22.4Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,083 31,049 12,732 30.0 10,730 3.1 (NA) 84.5 21.1Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . . . 840,369 537,529 245,732 35.9 214,577 5.6 9.8 81.8 23.8Coeur d’Alene, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,628 34,684 15,943 29.6 11,982 2.5 3.8 78.6 22.2

College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . . . 73,853 42,415 20,612 32.3 12,244 11.5 18.1 76.4 18.5Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . 226,360 152,619 77,329 27.8 38,069 7.6 11.9 77.2 22.2Columbia, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,342 39,128 18,992 32.1 10,620 5.2 6.8 77.5 17.8Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 271,279 177,835 82,195 36.4 54,665 4.4 6.5 78.6 23.7Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108,447 72,745 35,141 45.6 25,145 3.4 7.1 73.5 20.2Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,992 20,090 9,256 27.6 6,288 5.9 (NA) 85.5 19.5

Columbus, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 677,522 437,407 218,188 31.5 124,798 6.2 8.2 83.0 22.6Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149,080 105,173 49,610 36.6 34,731 6.7 38.5 77.2 19.7Corvallis, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,517 18,902 8,386 29.2 6,208 8.8 11.5 67.0 17.4Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,370 25,475 10,444 34.3 12,528 1.0 (NA) 81.2 22.6Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . 2,080,056 1,440,514 762,427 28.7 330,329 17.7 28.7 80.1 26.6

Dallas-Plano-Irving, TX . . . . . . . . . . . . . . . . . . . . . . . . 1,388,775 953,296 510,133 28.4 213,274 19.5 31.3 79.0 26.9Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . . . . . 691,281 487,218 252,294 29.3 117,055 13.9 23.3 82.2 25.8

Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,878 32,907 15,675 28.1 8,917 14.9 (NA) 83.7 20.0Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,857 21,704 9,508 41.5 9,521 1.7 (NA) 82.1 20.4Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,391 30,207 12,406 39.7 13,142 1.9 (NA) 82.4 22.3Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . . . 151,011 97,720 42,778 31.7 36,891 3.9 7.0 83.5 19.0Dayton, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 340,416 218,323 96,021 36.0 80,951 2.8 4.4 84.1 20.6Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,878 42,367 18,085 28.4 14,929 3.6 (NA) 84.8 23.2

Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,343 30,340 13,287 38.4 11,896 1.9 2.7 86.8 17.6Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . . . 201,368 125,445 47,829 35.7 68,952 7.6 11.6 80.6 23.9Denver-Aurora, CO1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 941,502 599,254 295,846 28.0 160,075 12.5 19.9 76.1 26.2Des Moines-West Des Moines, IA. . . . . . . . . . . . . . . . . . . 214,297 141,371 70,926 27.2 41,425 6.1 9.1 82.6 19.5Detroit-Warren-Livonia, MI. . . . . . . . . . . . . . . . . . . . . . . 1,689,695 1,122,682 529,186 32.1 384,396 8.6 12.0 85.1 25.9

Detroit-Livonia-Dearborn, MI . . . . . . . . . . . . . . . . . . . . . 716,137 463,636 225,354 43.8 168,800 7.8 12.0 82.7 24.6Warren-Troy-Farmington Hills, MI . . . . . . . . . . . . . . . . . 973,558 659,046 303,832 23.5 215,596 9.3 12.0 86.7 26.8

Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,191 36,481 15,444 36.3 14,088 1.5 3.0 86.3 20.1Dover, DE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,685 39,587 18,993 35.0 13,134 4.8 9.1 81.3 23.1Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,520 24,408 11,012 23.6 8,980 1.9 4.2 82.2 15.5Duluth, MN-WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,391 71,825 30,303 34.0 29,786 1.7 3.9 80.1 19.8Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187,049 112,693 53,740 32.9 34,524 12.1 14.5 73.8 23.4Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,096 40,279 18,645 27.3 13,773 1.9 4.5 79.7 19.5

El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,561 36,679 20,788 34.9 11,849 31.8 68.9 78.7 18.0Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,038 30,843 14,099 31.7 8,787 3.6 6.0 82.5 21.0Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,835 51,222 26,906 30.2 14,307 9.5 18.5 79.4 17.8Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,767 22,840 11,031 37.3 9,517 2.1 4.6 81.0 19.6El Paso, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 229,655 176,520 95,051 35.4 53,905 27.0 75.7 78.8 21.6Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107,218 70,042 31,967 34.8 27,117 3.7 6.0 80.4 18.4

Eugene-Springfield, OR . . . . . . . . . . . . . . . . . . . . . . . . . 137,630 83,932 36,373 33.9 31,312 6.1 10.5 72.5 19.5Evansville, IN-KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141,508 94,345 41,820 30.8 33,287 1.8 3.2 85.4 20.2Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,550 22,058 11,905 30.7 3,957 5.1 10.1 70.4 17.8Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,333 46,476 23,356 27.4 13,596 3.5 6.5 81.4 16.4Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,466 28,651 13,380 33.1 8,313 2.7 35.3 84.7 23.0Fayetteville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130,880 90,900 47,066 40.2 22,371 4.9 8.8 80.4 21.2

Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . . . 158,750 111,224 53,277 27.2 32,000 9.5 14.0 79.1 21.1Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,286 28,795 13,105 33.9 7,152 5.6 27.6 68.3 17.6Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173,622 114,738 53,911 39.7 39,135 2.3 3.9 85.0 25.0Florence, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,678 50,920 21,468 38.3 17,125 2.2 3.4 81.0 21.9Florence-Muscle Shoals, AL. . . . . . . . . . . . . . . . . . . . . . . 58,668 40,466 16,105 27.9 16,076 1.4 (NA) 85.4 23.5Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,184 26,071 11,573 27.6 9,075 2.5 5.4 80.9 19.7

Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . . . 111,524 69,881 32,562 27.9 19,211 5.2 8.5 76.4 21.8Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107,262 74,644 33,374 30.7 26,874 5.1 8.2 82.1 20.3Fort Walton Beach-Crestview-Destin, FL . . . . . . . . . . . . . . 74,771 50,243 21,600 27.4 17,556 5.5 8.4 82.1 21.6Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159,348 106,007 52,470 30.3 31,321 4.4 7.2 85.6 20.7Fresno, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276,929 201,521 110,521 34.7 59,867 21.7 41.8 75.5 21.1Gadsden, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,059 30,212 13,300 37.4 11,863 2.2 (NA) 83.4 23.4

Gainesville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101,425 54,474 23,219 36.4 18,758 9.3 12.0 75.3 21.5Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,184 40,288 19,852 28.8 10,575 18.1 25.8 78.5 26.3Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,110 33,518 14,727 32.6 14,019 2.1 4.5 80.3 23.0Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,116 31,067 14,857 37.2 10,055 4.8 7.5 84.1 20.6Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,388 23,053 10,492 24.2 8,099 2.4 5.2 81.9 14.4Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,533 35,820 16,274 32.1 14,298 3.9 8.0 75.3 20.3

Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . . . 288,574 197,565 98,853 29.4 56,986 6.7 10.2 82.2 21.8Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,190 21,421 9,959 30.6 8,248 1.9 5.4 83.2 15.0Greeley, CO1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81,024 56,812 30,162 22.9 13,036 9.8 18.4 79.3 23.6Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119,412 79,789 40,089 30.7 24,079 4.2 7.5 83.9 19.1Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . . . 275,069 179,856 83,716 35.0 60,819 7.5 10.1 82.2 22.1Greenville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,011 41,089 20,780 39.6 12,482 4.6 7.1 82.8 19.9See footnotes at end of table.





Households

Foreign-bornpop-

ulation(percent-

age oftotal)

Speakinglanguage

other thanEnglish

at home,people


age)


Total

Family


65 yearsand over

Drovealone

to work(percent-

age)

Meantraveltime



Total

Singleparenthouse-

hold(percent-

age)

Greenville-Mauldin-Easley, SC . . . . . . . . . . . . . . . . . . . . . 233,053 157,791 69,648 30.3 51,966 6.3 8.4 82.0 21.9Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91,367 64,126 28,452 36.6 21,310 3.8 5.4 80.3 23.8Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . . . 99,509 67,431 31,910 29.2 22,246 3.1 4.6 81.1 27.8Hanford-Corcoran, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 38,808 30,492 17,713 28.3 7,448 20.5 42.4 71.8 20.3Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . . . 211,113 136,847 59,527 30.1 50,953 4.4 7.9 80.1 21.3Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,427 27,499 11,961 25.3 9,504 7.5 9.8 77.5 18.8

Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . . . 455,433 302,575 141,725 29.9 111,796 11.6 19.4 82.5 22.5Hattiesburg, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,040 31,999 15,504 34.2 10,321 2.1 (NA) 84.5 22.2Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . . . 136,948 93,437 40,170 29.3 34,409 5.3 8.3 84.0 21.2Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . . . 24,081 17,582 10,523 42.9 2,607 5.7 9.1 77.9 21.7Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . . . 90,396 67,699 33,379 16.3 17,959 5.3 9.3 84.5 19.8Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301,189 211,890 87,751 24.2 87,827 18.7 26.6 65.3 26.8

Hot Springs, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,796 24,555 9,125 40.0 13,703 3.9 (NA) 76.9 21.9Houma-Bayou Cane-Thibodaux, LA . . . . . . . . . . . . . . . . . 70,932 52,071 24,879 29.1 15,384 1.9 14.7 81.5 24.5Houston-Sugar Land-Baytown, TX . . . . . . . . . . . . . . . . . . 1,857,040 1,315,619 693,343 29.2 307,213 21.3 35.6 78.0 28.2Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . . . 114,923 77,163 31,108 31.7 32,118 1.0 2.0 83.6 21.7Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147,283 100,008 43,868 32.1 32,084 4.6 5.8 85.2 21.3Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,910 30,393 14,959 20.0 8,301 4.7 8.4 74.6 20.8

Indianapolis-Carmel, IN. . . . . . . . . . . . . . . . . . . . . . . . . . 651,395 433,166 215,466 31.8 124,224 5.2 7.7 83.7 23.6Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,529 32,900 16,509 24.6 9,124 6.4 10.4 68.9 17.8Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,374 19,529 8,323 26.2 6,684 13.0 17.0 57.4 17.8Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,667 41,447 19,435 32.9 14,456 1.7 4.1 84.9 22.9Jackson, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193,661 130,144 61,776 40.6 41,254 1.5 3.1 84.5 23.4Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,360 30,452 14,364 41.4 10,071 2.6 (NA) 86.7 19.9

Jacksonville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 498,655 331,775 151,998 33.7 101,210 6.9 9.9 81.2 25.4Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,259 40,388 20,168 32.1 8,807 4.6 9.0 62.7 19.9Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,035 41,503 19,458 32.5 14,437 4.6 7.7 83.5 20.9Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,568 37,175 17,573 27.3 11,649 2.1 3.7 79.1 20.0Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,443 49,717 20,644 31.2 20,084 2.3 3.7 86.0 20.7Johnstown, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,305 39,728 15,281 33.5 19,361 1.6 3.2 81.6 22.5

Jonesboro, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,114 30,098 13,533 35.8 9,876 2.4 (NA) 81.7 18.2Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,286 44,270 21,212 32.1 15,828 3.1 5.7 80.3 18.5Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . . 127,037 79,823 37,919 32.8 26,482 4.5 6.7 82.1 19.7Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,249 27,949 13,822 32.2 9,554 4.6 7.4 81.4 22.5Kansas City, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . 767,120 507,708 246,555 30.0 154,048 5.6 8.5 83.6 22.6Kennewick-Pasco-Richland, WA . . . . . . . . . . . . . . . . . . . . 76,486 54,727 28,279 29.5 14,879 14.5 25.1 77.2 21.0

Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . . 120,975 87,347 48,125 30.5 21,620 7.1 16.1 80.1 19.4Kingsport-Bristol-Bristol, TN-VA . . . . . . . . . . . . . . . . . . . . 129,524 87,871 34,694 30.4 36,108 1.1 2.3 84.9 21.1Kingston, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,354 44,200 19,007 27.6 17,374 7.1 10.6 78.1 25.8Knoxville, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276,343 181,656 77,829 30.1 65,329 3.3 4.7 84.6 22.0Kokomo, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,471 29,203 12,299 35.1 9,448 2.3 3.7 84.4 18.5La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,240 32,643 14,858 28.0 11,290 2.7 4.4 79.7 17.7

Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,091 43,804 21,486 31.8 13,797 8.8 11.7 76.9 19.0Lafayette, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,436 65,955 33,250 36.9 17,840 2.7 17.8 84.3 23.9Lake Charles, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,958 51,429 23,889 32.9 18,041 1.7 7.7 82.2 20.5Lake Havasu City-Kingman, AZ . . . . . . . . . . . . . . . . . . . . 75,033 51,479 18,493 37.7 26,989 6.8 10.9 76.0 19.0Lakeland-Winter Haven, FL . . . . . . . . . . . . . . . . . . . . . . . 222,196 157,136 66,247 34.3 67,833 10.1 16.7 80.8 25.0Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185,001 130,129 59,842 23.1 44,581 4.0 15.3 78.7 21.7Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . . . 177,581 112,049 51,361 31.7 33,646 6.1 8.6 81.7 21.2

Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,859 50,796 29,185 32.4 13,220 28.5 93.1 76.0 19.7Las Cruces, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,164 47,656 23,494 33.7 15,681 19.3 53.8 76.1 18.5Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . . . 662,025 435,259 207,348 33.9 134,054 21.2 30.6 78.2 24.4Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,996 23,738 11,691 31.4 7,010 6.9 8.8 77.0 19.6Lawton, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,060 29,204 14,264 34.1 9,167 4.7 10.4 71.9 15.5Lebanon, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,465 33,990 14,443 30.1 13,670 2.7 8.5 82.6 22.1

Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24,405 16,160 6,993 35.7 6,925 1.9 (NA) 80.8 15.3Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,450 28,711 12,792 37.8 10,037 4.0 17.1 79.0 23.2Lexington-Fayette, KY . . . . . . . . . . . . . . . . . . . . . . . . . . 181,595 112,997 52,588 30.5 33,168 5.6 7.6 80.1 20.3Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,596 27,620 13,037 32.6 10,622 1.5 (NA) 83.5 18.2Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,228 71,010 35,289 24.8 20,216 6.5 9.7 80.2 18.0Little Rock-North Little Rock-Conway, AR . . . . . . . . . . . . . . 259,043 173,179 80,078 33.0 53,238 3.4 5.1 81.9 21.6

Logan, UT-ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,397 27,249 14,882 14.0 6,262 6.5 13.6 70.8 16.8Longview, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,749 52,442 23,182 31.8 19,934 6.1 10.8 81.3 22.2Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,931 26,257 12,403 36.6 9,068 4.4 6.5 80.0 23.0Los Angeles-Long Beach-Santa Ana, CA . . . . . . . . . . . . 4,148,481 2,823,636 1,443,512 29.8 916,905 34.6 53.3 73.5 28.3

Los Angeles-Long Beach-Glendale, CA . . . . . . . . . . . . . 3,176,441 2,137,522 1,102,212 31.8 695,329 35.8 56.3 72.3 29.1Santa Ana-Anaheim-Irvine, CA . . . . . . . . . . . . . . . . . . . 972,040 686,114 341,300 23.4 221,576 30.5 43.6 77.4 26.1

Louisville/Jefferson County, KY-IN . . . . . . . . . . . . . . . . . . . 489,689 319,911 147,917 34.8 105,426 3.6 5.1 82.9 22.7Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,286 65,929 30,828 33.1 20,135 3.7 21.2 82.5 16.7Lynchburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,650 64,324 27,119 32.9 25,379 2.3 3.7 82.8 22.5Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,844 56,133 25,084 40.7 19,644 2.0 3.6 82.5 22.2Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,849 33,187 17,285 28.5 10,107 20.6 40.5 73.3 27.4Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219,711 131,609 62,320 24.4 37,359 6.4 9.9 75.0 20.6See footnotes at end of table.





Households

Foreign-bornpop-

ulation(percent-

age oftotal)

Speakinglanguage

other thanEnglish

at home,people


age)


Total

Family


65 yearsand over

Drovealone

to work(percent-

age)

Meantraveltime



Total

Singleparenthouse-

hold(percent-

age)

Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . . . 149,761 102,634 49,810 25.8 29,443 8.6 13.2 82.8 25.1Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,720 33,706 14,491 34.6 13,329 1.5 4.3 84.1 19.8McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . . . 201,366 167,318 97,244 28.9 47,007 28.5 82.5 75.8 20.9Medford, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,058 50,842 21,838 36.0 22,422 5.4 8.8 77.0 18.5Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . . . 475,835 319,519 153,048 43.7 91,967 4.3 6.8 82.9 23.5Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,599 57,035 33,931 30.8 14,336 25.4 48.7 72.9 24.2

Miami-Fort Lauderdale-Pompano Beach, FL . . . . . . . . . . 2,015,132 1,310,838 577,264 34.4 596,386 36.9 48.6 78.5 28.2Fort Lauderdale-Pompano Beach-Deerfield Beach, FL . . . 676,384 424,284 196,850 33.3 180,019 29.9 34.9 79.9 27.0Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . . . . 830,844 571,038 253,590 35.9 233,248 50.4 70.8 77.3 30.6West Palm Beach-Boca Raton-Boynton Beach, FL . . . . . . 507,904 315,516 126,824 33.3 183,119 21.2 25.9 78.7 25.3

Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . . . . 41,694 28,470 12,297 35.4 10,374 3.1 5.4 82.9 20.6Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,331 32,134 15,888 28.1 10,116 8.7 27.9 81.8 17.1

Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . . . 607,687 384,580 182,895 35.1 133,785 6.5 11.9 80.8 21.8Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . . . 1,233,149 802,738 405,838 26.8 215,163 8.7 12.0 78.7 24.1Missoula, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,636 23,767 10,247 30.3 7,583 2.5 (NA) 73.1 17.9Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150,853 105,235 47,748 40.5 35,519 3.1 4.6 83.9 24.0Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158,836 117,843 62,167 29.8 35,426 19.9 38.6 79.2 26.5Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,125 43,495 20,761 42.0 15,094 1.3 3.1 84.3 21.2

Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,946 41,607 19,374 24.7 12,508 2.0 3.2 87.9 24.3Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136,874 92,651 43,703 39.3 29,843 2.5 3.8 83.8 22.0Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,921 25,884 11,099 26.9 8,997 3.4 4.6 76.9 23.5Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,621 36,527 16,138 27.0 12,862 4.6 6.2 82.5 24.0Mount Vernon-Anacortes, WA . . . . . . . . . . . . . . . . . . . . . 42,982 29,184 13,228 34.6 11,745 10.9 15.0 78.0 24.6Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,513 29,093 11,861 34.8 11,018 2.2 3.1 77.5 18.6

Muskegon-Norton Shores, MI. . . . . . . . . . . . . . . . . . . . . . 65,259 44,128 20,990 33.4 15,598 2.0 4.4 84.2 19.5Myrtle Beach-North Myrtle Beach-Conway, SC . . . . . . . . . . 105,192 67,221 27,479 42.4 27,831 5.7 7.0 81.9 20.5Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,312 31,302 13,983 22.9 14,052 22.3 30.5 73.4 24.0Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . . . 119,883 80,374 28,186 27.7 48,692 23.6 29.6 75.0 25.1Nashville-Davidson—Murfreesboro—Franklin, TN . . . . . . . . 574,448 379,991 179,794 31.2 110,001 6.5 8.5 82.3 25.7New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . . . 322,561 212,144 100,567 32.2 81,121 11.0 18.4 80.9 23.8

New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . . . 392,659 259,317 112,347 37.1 93,459 6.0 9.8 77.0 25.8New York-Northern New Jersey-Long Island, NY-NJ-PA . . 6,717,007 4,464,200 2,121,351 30.3 1,691,863 28.1 36.9 50.5 34.3

Edison-New Brunswick, NJ. . . . . . . . . . . . . . . . . . . . . . 836,032 593,275 285,749 20.2 226,340 17.7 23.6 76.4 31.5Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . 916,091 697,600 325,991 18.0 258,436 16.4 21.7 74.3 31.3Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . . . 759,711 532,708 265,444 27.8 179,131 20.9 28.1 70.7 30.4New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . . . 4,205,173 2,640,617 1,244,167 36.4 1,027,956 34.2 44.9 35.3 36.4

Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . 63,400 42,553 18,499 36.3 16,110 5.5 6.7 83.7 18.6Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . . . 104,132 68,879 32,150 27.5 24,839 7.3 11.6 79.6 21.7Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127,764 86,801 30,451 34.8 50,144 6.0 10.1 81.2 24.1Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,229 30,865 13,360 37.7 14,466 3.0 (NA) 79.0 20.6Odessa, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,434 31,840 16,140 33.6 10,112 10.9 (NA) 80.7 18.6Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . 160,434 126,643 66,446 19.4 29,537 5.9 10.1 79.5 22.1

Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . 459,394 300,041 139,219 32.5 97,230 7.1 10.9 81.2 21.1Olympia, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91,918 61,811 29,552 34.3 19,017 7.1 10.0 78.0 23.9Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . . . 317,650 211,350 104,926 28.4 60,613 5.8 8.6 82.8 19.3Orlando-Kissimmee, FL. . . . . . . . . . . . . . . . . . . . . . . . . . 752,280 508,977 234,625 33.1 170,922 15.7 26.2 80.2 26.8Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,897 40,179 18,786 27.4 14,659 2.8 5.5 84.5 17.3Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,945 31,786 14,513 35.1 11,167 1.1 (NA) 85.8 19.4

Oxnard-Thousand Oaks-Ventura, CA. . . . . . . . . . . . . . . . . 255,527 188,664 95,127 22.3 59,972 22.0 35.8 78.9 26.1Palm Bay-Melbourne-Titusville, FL . . . . . . . . . . . . . . . . . . 217,708 142,619 53,131 31.8 72,906 8.2 9.6 83.5 23.3Palm Coast, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,601 26,149 9,026 31.2 13,709 12.5 15.6 82.4 22.4Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . . 71,417 46,794 19,428 38.6 16,600 5.4 7.0 80.1 21.0Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . . . 67,453 45,257 17,971 30.1 18,343 1.0 1.9 81.6 21.5Pascagoula, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,071 41,362 18,748 34.3 12,560 2.7 4.5 84.6 24.9Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . . . 168,016 114,678 47,649 34.2 42,021 4.2 6.8 76.6 24.1

Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148,604 98,581 43,391 32.6 37,255 2.5 4.0 85.0 20.2Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . 2,169,515 1,427,313 666,598 31.5 525,555 8.6 13.4 73.8 28.0

Camden, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 455,256 320,732 155,679 28.0 105,982 7.8 12.6 79.6 27.3Philadelphia, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,459,832 934,109 430,919 32.8 363,315 9.0 13.9 70.5 28.7Wilmington, DE-MD-NJ . . . . . . . . . . . . . . . . . . . . . . . . 254,427 172,472 80,000 31.4 56,258 7.5 12.0 80.4 25.6

Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . . 1,421,271 944,951 460,029 30.9 310,521 16.8 27.4 74.8 26.6

Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,057 25,109 11,137 43.8 9,773 1.6 (NA) 84.3 20.5Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 984,179 626,929 256,597 29.3 283,788 3.0 5.0 77.6 24.8Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,127 34,401 14,600 39.7 16,490 3.5 5.7 78.7 18.6Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,690 22,012 11,088 27.0 6,027 3.4 9.2 79.3 17.2Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . . . 207,652 135,572 61,159 29.3 50,061 4.0 7.6 78.3 23.1Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . . . 817,906 519,654 252,211 28.7 154,152 12.1 16.5 72.0 24.6

Port St. Lucie, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157,673 107,075 41,489 33.2 57,983 14.1 17.2 81.8 25.9Poughkeepsie-Newburgh-Middletown, NY . . . . . . . . . . . . . 225,330 160,700 80,195 25.1 51,298 10.5 17.5 74.8 31.0Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,352 53,954 17,876 33.2 30,640 7.7 10.9 76.3 20.8Providence-New Bedford-Fall River, RI-MA. . . . . . . . . . . . . 613,430 399,681 185,399 32.9 152,171 12.6 20.6 81.0 23.6Provo-Orem, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128,810 103,866 58,834 11.9 20,406 6.6 12.1 72.0 20.0Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,819 39,522 17,741 38.7 15,213 3.4 14.3 79.1 20.6See footnotes at end of table.





Households

Foreign-bornpop-

ulation(percent-

age oftotal)

Speakinglanguage

other thanEnglish

at home,people


age)


Total

Family


65 yearsand over

Drovealone

to work(percent-

age)

Meantraveltime



Total

Singleparenthouse-

hold(percent-

age)

Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,376 47,577 13,887 34.7 31,633 9.9 7.9 82.8 21.7Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,140 51,910 23,415 35.1 14,993 4.9 9.7 85.1 21.8Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 374,606 249,704 130,441 26.1 55,519 10.4 13.3 80.1 25.4Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,419 31,740 14,126 34.1 9,542 2.4 5.2 80.5 17.7Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149,410 104,612 47,447 30.7 37,998 6.0 14.9 79.6 23.3Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,762 46,834 20,976 37.5 18,432 4.1 7.4 80.1 18.9

Reno-Sparks, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157,000 97,232 46,124 30.9 32,817 15.1 21.0 75.7 21.3Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 459,039 306,859 142,334 32.0 96,245 5.9 7.6 81.8 24.1Riverside-San Bernardino-Ontario, CA. . . . . . . . . . . . . . . . 1,227,896 918,906 503,762 28.4 271,282 21.9 38.8 76.0 30.7Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123,888 79,873 32,780 32.7 32,536 3.5 4.8 83.8 21.5Rochester, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,452 46,921 23,479 23.5 14,542 6.9 8.9 77.7 17.5Rochester, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 399,531 258,782 121,283 34.2 94,552 6.1 9.6 82.5 20.1

Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126,794 87,102 41,475 32.8 28,850 8.5 13.1 84.1 22.9Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,073 38,059 16,649 44.0 13,805 3.6 (NA) 82.1 20.0Rome, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,506 23,680 9,888 35.4 9,268 6.4 (NA) 80.1 21.3Sacramento—Arden-Arcade—Roseville, CA . . . . . . . . . . . . 756,162 503,484 253,024 30.7 163,597 17.4 25.7 75.4 25.7Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . . . 77,707 53,442 24,249 39.4 19,619 1.8 5.1 86.2 21.1St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,272 45,498 22,330 22.6 13,595 2.9 5.4 78.1 20.7

St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,121 32,916 14,896 15.6 13,950 5.4 9.8 75.4 18.6St. Joseph, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,675 31,395 14,647 31.5 11,818 1.6 3.2 82.7 19.3St. Louis, MO-IL2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,090,503 721,685 337,428 32.4 249,410 4.0 6.0 82.7 24.7Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136,003 94,169 45,087 33.3 32,694 13.3 20.7 73.0 23.2Salinas, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,146 88,659 46,538 27.7 29,439 30.0 51.5 69.3 21.8Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,669 28,116 12,513 39.0 11,484 4.4 6.6 78.6 21.5

Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352,665 251,631 133,326 23.0 60,588 11.4 18.1 75.6 22.0San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,514 27,452 12,607 32.1 10,272 5.5 24.1 77.4 17.0San Antonio, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 660,410 463,743 228,471 32.4 141,943 11.0 39.6 78.5 24.6San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . . . 1,041,790 684,732 336,879 27.9 229,054 23.0 35.3 75.2 25.2Sandusky, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,874 21,639 8,850 32.0 8,630 2.2 3.6 84.6 18.4

San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . . . 1,556,247 962,413 452,906 25.5 352,094 29.5 39.0 63.0 28.5Oakland-Fremont-Hayward, CA. . . . . . . . . . . . . . . . . . . 881,418 587,977 291,127 26.5 187,636 27.6 37.1 68.7 29.3San Francisco-San Mateo-Redwood City, CA . . . . . . . . . 674,829 374,436 161,779 23.6 164,458 32.4 41.7 55.6 27.3

San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . . . 598,755 419,692 215,575 21.7 124,014 36.3 49.4 77.1 24.5San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . . . 103,026 64,270 26,927 26.0 24,535 9.5 15.3 73.3 19.7Santa Barbara-Santa Maria-Goleta, CA . . . . . . . . . . . . . . . 140,137 89,764 43,575 28.0 35,582 22.6 36.3 66.8 19.6

Santa Cruz-Watsonville, CA. . . . . . . . . . . . . . . . . . . . . . . 93,518 57,533 28,142 29.7 18,530 17.1 27.4 70.7 25.4Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,956 32,102 14,134 36.6 12,052 12.9 35.7 71.6 21.6Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . . . . . . . . . . 177,331 112,902 53,290 27.2 42,267 17.1 23.0 73.8 24.7Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123,263 82,101 37,722 37.6 26,669 4.1 5.9 80.7 23.4Scranton—Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . 227,132 145,095 59,972 30.3 70,535 3.0 5.5 80.9 20.9

Seattle-Tacoma-Bellevue, WA . . . . . . . . . . . . . . . . . . . . 1,294,535 803,613 389,069 28.6 237,693 15.3 19.0 71.0 27.7Seattle-Bellevue-Everett, WA . . . . . . . . . . . . . . . . . . . . 1,008,811 612,416 294,623 26.5 180,766 17.4 20.9 69.4 27.5Tacoma, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285,724 191,197 94,446 35.2 56,927 8.7 12.6 76.8 28.5

Sebastian-Vero Beach, FL. . . . . . . . . . . . . . . . . . . . . . . . 58,175 38,150 14,921 32.8 22,952 10.3 12.3 83.6 21.9Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,278 30,718 13,806 21.9 10,831 5.0 9.7 81.7 17.2Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . . . . . . . 43,845 30,486 13,531 29.7 11,884 5.2 (NA) 80.3 23.0Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . . . 148,406 97,047 43,631 44.2 35,107 2.3 4.3 82.8 20.2

Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,302 36,313 16,977 30.9 12,885 8.0 14.0 79.1 16.8Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83,973 55,698 26,581 29.0 17,063 3.8 6.7 84.1 17.2South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . 121,616 79,042 35,369 30.2 28,667 5.0 8.7 82.3 20.4Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104,536 72,329 31,911 34.4 25,302 5.4 8.0 84.6 21.4Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178,952 113,053 53,785 32.2 38,600 4.7 6.6 78.0 20.6Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,365 53,953 25,890 37.2 19,598 2.1 3.8 83.6 19.1

Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261,819 163,635 74,546 38.4 64,619 7.9 17.5 81.2 22.1Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164,626 107,539 48,988 29.7 37,846 1.9 5.1 81.5 22.1Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,422 37,149 15,922 36.8 14,863 1.8 3.2 83.2 21.6State College, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,319 29,258 12,439 19.3 10,478 6.8 9.1 66.1 19.0Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207,792 154,283 84,624 30.6 43,752 23.7 37.3 75.9 29.6Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,817 26,515 12,179 43.1 9,423 2.4 3.0 83.9 22.4

Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253,475 159,160 75,473 34.8 60,815 4.7 7.2 79.4 20.0Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138,401 80,935 36,675 40.9 24,142 5.0 7.3 79.9 22.5Tampa-St. Petersburg-Clearwater, FL . . . . . . . . . . . . . . . . 1,110,157 690,453 283,066 34.0 319,632 12.0 17.5 80.3 25.6Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,964 42,630 18,668 29.5 16,436 1.8 3.3 83.9 21.8Texarkana, TX-Texarkana, AR . . . . . . . . . . . . . . . . . . . . . 50,597 34,607 15,569 36.5 12,443 3.0 (NA) 80.6 18.6Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260,925 165,467 76,606 36.5 58,897 3.2 5.8 84.8 20.0

Topeka, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93,869 62,473 27,796 34.8 22,673 3.1 6.7 81.5 20.1Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127,253 87,221 42,693 29.1 30,751 18.2 24.4 72.9 26.8Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 370,126 230,984 100,745 36.0 96,148 13.4 28.2 75.2 23.7Tulsa, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 350,732 236,290 109,836 33.3 76,427 5.2 7.9 81.7 20.6Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,443 49,545 22,064 36.0 16,706 3.1 5.1 83.9 20.6Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,168 48,094 21,981 31.2 18,360 8.4 14.0 80.9 20.8See footnotes at end of table.





Households

Foreign-bornpop-

ulation(percent-

age oftotal)

Speakinglanguage

other thanEnglish

at home,people


age)


Total

Family


65 yearsand over

Drovealone

to work(percent-

age)

Meantraveltime



Total

Singleparenthouse-

hold(percent-

age)

Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117,631 76,652 34,094 35.7 32,768 5.1 9.4 80.7 20.1Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,739 34,303 16,634 36.3 9,026 4.1 6.1 82.3 18.5Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135,704 99,011 50,366 33.1 30,368 18.9 26.9 76.0 29.5Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,288 30,297 14,188 37.0 10,583 6.3 27.6 78.3 20.9Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . 50,165 34,632 15,979 41.8 13,012 8.3 22.0 81.2 25.0

Virginia Beach-Norfolk-Newport News, VA-NC. . . . . . . . . . . 620,138 424,616 204,406 34.9 127,444 5.5 7.9 79.0 23.3Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . 121,457 94,971 53,827 32.6 26,018 22.7 46.6 73.9 21.3Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,973 53,951 25,764 33.6 18,451 8.3 17.1 80.8 18.0Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,519 33,193 16,401 35.9 9,060 3.8 6.6 85.6 20.5Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . 1,949,715 1,260,260 620,769 27.6 358,317 20.1 24.3 66.4 33.3

Bethesda-Frederick-Gaithersburg, MD . . . . . . . . . . . . . . 422,977 294,561 147,220 21.7 91,787 25.2 30.2 68.9 33.2Washington-Arlington-Alexandria, DC-VA-MD-WV. . . . . . . 1,526,738 965,699 473,549 29.5 266,530 18.6 22.6 65.7 33.3

Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . . . 65,857 42,926 18,711 32.8 16,152 4.2 6.5 81.4 16.2Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,251 36,104 16,149 23.7 11,798 3.6 7.5 82.3 18.2Weirton-Steubenville, WV-OH. . . . . . . . . . . . . . . . . . . . . . 53,076 35,282 14,033 35.7 16,324 1.1 2.8 83.3 22.3Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,078 27,418 13,028 30.0 10,621 13.7 20.8 75.7 18.2Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,371 41,108 16,407 30.8 18,246 1.2 2.3 84.0 22.0Wichita, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230,159 154,811 75,443 30.6 48,909 6.3 10.5 84.0 18.4

Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,573 38,855 19,151 29.8 13,185 5.2 10.1 79.1 16.6Williamsport, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,719 31,808 13,250 34.5 13,199 1.1 2.7 78.5 19.3Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142,936 89,032 36,152 32.6 35,131 4.0 6.0 79.6 22.4Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,934 30,878 14,538 28.4 10,878 5.2 7.6 81.4 29.0Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181,355 122,743 55,642 32.7 41,350 6.7 10.1 83.0 22.0Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287,535 193,376 94,830 27.6 65,539 9.9 16.4 82.7 26.8

Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,698 55,781 29,578 32.6 17,752 18.4 35.4 77.0 18.6York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162,264 114,110 50,153 28.9 38,574 2.9 6.0 83.5 25.1Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . . . 233,944 155,040 63,227 35.3 68,179 2.0 5.3 86.1 20.9Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,232 39,257 20,724 28.7 12,723 17.6 29.3 74.9 27.6Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,857 50,771 24,244 30.1 22,577 24.9 46.9 74.4 19.1

NA Not available.

1The 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 whendata are available to do so. In many cases, the data will not be available.

2The 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>. While the 2007 American Community Survey (ACS) data generally reflect the December 2006 Office of Management andBudget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMBdefinitions due to differences in the effective dates of the geographic entities.

Survey, Census, or Data Collection Method: Based on the American Community Survey; the 2005–2007 ACS 3-year estimates represent the average characteristics over the 3-year period oftime, for more information, see Appendix B, Limitations of the Data and Methodology, and also <http://www.census.gov/acs/www/AdvMeth/index.htm>.

Source: U.S. Census Bureau, American Community Survey, ‘‘DP3YR-2. Selected Social Characteristics in the United States: 2005–2007’’ and ‘‘DP3YR-3. Selected Economic Characteristics:2005–2007,’’ using American FactFinder, accessed February 1, 2009 (related Internet site <http://factfinder.census.gov>).


Table B–6. Metropolitan Areas — Enrollment, Teachers, and Educational Attainment



Public school enrollment1Number of

public schoolteachers,4,5

2007

Public high schoolcompleters,4,8,9 2006

Educational attainment,2005–2007

2007

Total,22000

Ele-mentary6

Second-ary7 Total10

Diplomarecipients

Popula-tion

25 yearsand over

(1,000)

Highschool

graduateor

higher11

(percent-age)

Bachelor’sdegree

or higher(percent-

age)Total2

Pre-kinder-garten

tograde

83Grades

9–12

Abilene, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,740 19,723 8,017 30,270 832 885 1,683 1,683 99,021 81.0 20.2Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107,682 72,805 34,876 111,633 2,989 2,971 7,146 7,146 465,558 89.3 27.7Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,563 20,905 7,658 29,200 898 774 1,304 1,171 101,269 79.4 17.9Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . . . 129,378 87,043 41,016 128,400 4,217 3,831 7,696 7,696 569,402 89.7 31.6Albuquerque, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,562 93,622 38,940 119,899 5,767 2,358 6,840 6,646 530,414 85.2 29.2Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,390 19,939 7,451 27,568 1,064 715 1,459 1,376 97,383 80.7 17.7

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . . . 130,360 83,319 46,297 112,751 3,170 3,674 (NA) (NA) 540,684 86.2 25.1Altoona, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,004 12,386 6,607 20,294 436 569 (NA) (NA) 87,737 87.6 16.7Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,770 31,632 12,138 41,096 1,266 1,177 2,333 2,333 150,037 82.0 21.6Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,532 7,088 3,444 11,093 329 356 797 797 45,348 95.5 47.6Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,272 44,656 20,616 62,117 1,739 1,747 3,872 3,720 222,077 91.1 29.1Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,591 14,189 6,402 20,112 564 515 1,080 1,080 89,741 84.6 16.2

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,804 21,734 10,070 26,760 1,318 516 (NA) (NA) 120,194 77.8 17.3Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,038 33,053 14,360 46,792 984 1,170 3,050 3,043 214,503 92.9 51.4Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,259 13,239 5,020 18,291 685 499 903 863 74,731 78.1 17.0Appleton, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,392 24,856 12,536 34,290 932 1,319 2,853 2,853 141,675 91.2 24.7Asheville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,892 38,001 15,891 51,169 1,701 1,930 (NA) (NA) 282,007 85.1 27.2Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . 23,489 17,457 6,032 23,179 987 736 1,304 1,166 105,849 82.1 33.7

Atlanta-Sandy Springs-Marietta, GA . . . . . . . . . . . . . . . . . 893,324 636,681 256,643 720,156 32,861 23,879 44,644 40,600 3,290,191 86.0 33.5Atlantic City-Hammonton, NJ . . . . . . . . . . . . . . . . . . . . . . 47,397 31,411 14,017 42,824 1,491 1,569 3,014 3,014 181,380 84.0 22.8Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,745 13,931 5,814 17,397 776 607 1,070 992 71,089 84.4 30.8Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . . . 93,732 66,173 27,559 93,090 3,329 2,347 (NA) (NA) 334,023 81.8 22.1Austin-Round Rock, TX. . . . . . . . . . . . . . . . . . . . . . . . . . 264,772 192,952 71,820 207,318 7,769 6,742 13,336 13,336 957,365 86.0 38.2Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171,298 118,394 52,898 146,097 5,251 2,371 8,676 8,676 451,672 71.1 14.4

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . . . 388,438 265,865 122,573 401,476 13,755 11,615 25,291 25,059 1,762,711 85.9 33.0Bangor, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,268 14,677 7,591 24,310 1,350 606 1,636 1,630 99,907 88.9 22.9Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 29,179 19,121 10,040 32,676 1,140 757 2,261 2,244 166,732 93.8 38.5Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115,936 85,888 30,048 112,728 4,909 2,289 5,873 5,613 467,034 83.6 24.4Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24,260 16,057 7,703 24,133 507 567 1,335 1,335 90,876 85.4 18.4Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,479 10,338 5,594 17,243 272 369 1,075 1,071 74,209 86.3 16.9

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . . . 68,451 48,476 19,975 72,636 1,866 1,992 3,844 3,844 247,018 82.3 16.0Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,489 17,574 8,915 25,623 622 603 1,482 1,481 120,650 89.7 31.5Bend, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,578 15,791 7,749 19,603 680 298 1,403 1,403 102,618 91.2 28.2Billings, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,242 15,902 7,289 23,751 1,095 463 1,578 1,578 99,143 90.3 27.3Binghamton, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,112 25,624 12,674 43,431 1,382 1,249 2,766 2,766 165,289 86.7 23.9Birmingham-Hoover, AL . . . . . . . . . . . . . . . . . . . . . . . . . 175,703 123,967 51,736 170,114 6,824 5,313 10,093 9,568 729,779 83.8 25.6

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,218 10,278 4,940 16,191 533 473 1,073 1,073 66,447 89.5 28.7Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . . . 18,868 13,037 5,831 18,370 565 1,189 1,167 1,083 90,349 84.8 29.0Bloomington, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,682 15,581 7,101 22,308 638 644 1,294 1,294 108,652 88.5 29.6Bloomington-Normal, IL. . . . . . . . . . . . . . . . . . . . . . . . . . 24,687 17,107 7,580 24,234 585 764 1,585 1,585 95,265 93.4 39.5Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . 105,316 75,522 29,794 83,215 2,775 2,523 5,412 5,391 358,541 88.3 27.8

Boston-Cambridge-Quincy, MA-NH . . . . . . . . . . . . . . . . 657,123 455,180 201,605 641,292 26,849 13,882 (NA) (NA) 3,026,148 89.3 40.8Boston-Quincy, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 260,665 181,025 79,427 255,863 10,732 5,380 16,027 15,885 1,246,871 88.4 39.0Cambridge-Newton-Framingham, MA. . . . . . . . . . . . . . . 215,546 150,160 65,320 207,776 8,494 4,641 14,462 14,337 1,008,311 90.7 47.6Peabody, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115,338 79,720 35,559 117,294 4,417 2,297 7,441 7,305 491,691 87.7 35.3Rockingham County-Strafford County, NH. . . . . . . . . . . . 65,574 44,275 21,299 60,359 3,207 1,564 (NA) (NA) 279,275 91.2 33.7

Boulder, CO12 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,439 28,898 13,541 45,844 1,226 1,552 3,450 3,395 186,982 93.4 55.7

Bowling Green, KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,716 12,284 5,411 15,954 579 275 (NA) (NA) 71,862 84.2 26.2Bradenton-Sarasota-Venice, FL . . . . . . . . . . . . . . . . . . . . 84,412 59,153 25,259 70,102 2,015 2,149 4,725 4,515 507,607 87.7 27.5Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . . . 39,143 25,548 13,595 42,249 927 844 2,555 2,541 159,845 92.2 27.6Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . . . 148,847 103,900 44,947 136,935 6,284 2,836 8,738 8,738 596,501 87.7 42.6Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . . . 96,821 71,145 25,676 82,648 2,569 2,478 4,248 4,248 209,078 61.6 14.5Brunswick, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,915 12,916 4,999 17,148 624 495 924 810 65,912 81.9 22.0

Buffalo-Niagara Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . 172,986 115,449 55,106 181,404 5,211 5,017 10,758 10,758 763,819 87.3 26.1Burlington, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,875 16,583 7,292 20,535 768 759 (NA) (NA) 94,326 80.7 19.8Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . . . 31,617 21,197 10,420 33,490 944 1,105 1,929 1,929 135,964 91.1 38.4Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . 67,493 45,317 22,176 69,131 1,507 1,822 4,691 4,691 277,858 87.1 19.3Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . . . . . . . 78,837 56,486 22,351 56,109 1,577 1,825 3,834 3,525 409,807 85.7 24.1Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,606 5,751 2,855 8,365 225 200 463 431 37,425 87.3 20.6

Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,741 8,061 3,680 12,048 371 413 650 650 45,986 91.3 19.7Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,454 28,067 13,387 40,404 1,289 1,332 2,711 2,703 165,298 92.2 26.1Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . . . 30,637 21,497 9,140 30,145 887 1,084 2,017 2,017 127,001 90.9 38.7Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,509 33,845 13,664 50,132 1,162 1,314 2,698 2,698 214,968 82.8 19.7Charleston-North Charleston-Summerville, SC . . . . . . . . . . 92,501 65,425 27,076 90,051 3,925 1,894 (NA) (NA) 398,135 86.7 28.6Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . . . 272,437 195,734 76,703 210,998 9,108 8,117 (NA) (NA) 1,032,227 85.4 31.2

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25,498 17,466 8,032 24,187 761 1,458 1,564 1,446 123,096 86.9 41.5Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,647 50,796 20,206 70,628 3,041 1,599 3,741 3,468 344,824 81.3 21.1Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,725 9,358 4,367 14,323 455 527 769 759 56,321 89.6 22.6Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . . . 1,593,273 1,117,214 476,059 1,473,219 37,015 45,149 91,834 91,834 6,095,362 84.8 31.8

Chicago-Naperville-Joliet, IL . . . . . . . . . . . . . . . . . . . . . 1,305,763 918,664 387,099 1,206,963 29,555 36,619 74,768 74,768 5,101,047 84.3 32.4Gary, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123,587 86,259 37,328 117,020 3,200 3,112 6,566 6,566 451,996 86.3 19.4Lake County-Kenosha County, IL-WI . . . . . . . . . . . . . . . 163,923 112,291 51,632 149,236 4,260 5,418 10,500 10,500 542,319 87.8 37.1



Table B–6. Metropolitan Areas — Enrollment, Teachers, and Educational Attainment—Con.





2007



2007

Total,22000

Ele-mentary6

Second-ary7 Total10

Diplomarecipients

Popula-tion

25 yearsand over

(1,000)

Highschool

graduateor

higher11

(percent-age)

Bachelor’sdegree

or higher(percent-

age)Total2

Pre-kinder-garten

tograde

83Grades

9–12

Chico, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,820 21,652 11,140 35,083 1,002 490 2,191 2,191 136,278 85.0 24.4Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . . . 324,314 224,262 99,914 322,878 8,441 7,762 (NA) (NA) 1,379,095 86.2 27.1Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,462 28,989 11,845 36,676 1,538 684 (NA) (NA) 154,314 86.8 19.5Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,175 12,593 5,468 15,789 669 370 906 860 74,697 77.2 18.1Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . . . 317,793 214,950 102,843 329,545 7,791 8,805 20,074 20,074 1,423,585 86.6 26.3Coeur d’Alene, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,963 14,182 6,781 17,983 489 535 1,277 1,262 86,483 90.2 20.5

College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . . . 30,027 21,811 8,216 27,456 868 838 1,642 1,642 102,954 83.0 34.4Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . 108,453 75,722 32,731 93,983 2,833 3,320 6,429 6,240 384,459 91.8 33.7Columbia, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,561 16,108 7,453 23,219 649 997 1,569 1,569 94,468 91.7 44.7Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118,001 82,581 35,420 108,643 5,341 2,450 (NA) (NA) 451,729 85.6 29.4Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,556 35,127 14,429 48,731 1,607 1,497 2,559 2,385 177,572 81.9 20.5Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,193 8,290 3,903 11,635 287 333 685 685 49,658 88.3 25.7

Columbus, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292,458 201,628 90,801 263,086 6,763 7,477 17,384 17,384 1,119,606 88.4 31.8Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,020 57,345 22,675 81,599 2,071 2,092 4,550 4,550 257,435 76.6 18.8Corvallis, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,332 7,088 3,244 9,946 253 128 674 674 48,862 94.3 48.0Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,129 9,511 4,618 15,350 441 462 1,069 1,044 68,191 85.0 14.3Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . 1,138,046 825,608 312,438 926,418 32,054 27,773 58,088 58,088 3,754,317 81.4 29.5

Dallas-Plano-Irving, TX . . . . . . . . . . . . . . . . . . . . . . . . 761,116 553,954 207,162 616,563 21,996 18,990 38,169 38,169 2,512,770 80.6 31.2Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . . . . . 376,930 271,654 105,276 309,855 10,058 8,783 19,919 19,919 1,241,547 83.0 26.0

Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,748 20,360 7,388 23,035 1,007 733 1,237 1,095 83,214 65.5 11.6Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,371 10,444 3,927 14,339 332 400 792 792 54,624 84.7 12.5Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,327 11,183 5,144 16,992 477 910 1,021 910 74,485 74.3 13.4Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . . . 61,349 41,967 19,382 64,087 1,654 1,850 4,060 4,055 248,445 87.7 23.7Dayton, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129,263 88,551 40,712 138,776 3,101 3,494 8,208 8,208 554,066 86.9 24.4Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25,475 17,911 7,564 25,451 998 800 1,392 1,323 100,725 78.4 16.9

Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,998 11,951 5,047 18,995 443 490 1,055 1,055 72,755 86.4 20.0Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . . . 65,946 45,485 20,461 60,669 1,605 1,788 3,763 3,584 351,677 86.6 20.0Denver-Aurora, CO12 . . . . . . . . . . . . . . . . . . . . . . . . . . . 406,060 289,131 116,929 351,609 9,809 10,870 21,582 20,683 1,594,298 87.7 36.0Des Moines-West Des Moines, IA. . . . . . . . . . . . . . . . . . . 90,605 64,136 26,469 82,123 2,961 2,806 5,635 5,619 349,779 91.0 31.5Detroit-Warren-Livonia, MI. . . . . . . . . . . . . . . . . . . . . . . 769,206 508,754 239,403 712,906 15,428 17,114 44,470 44,388 2,977,842 86.4 26.1

Detroit-Livonia-Dearborn, MI . . . . . . . . . . . . . . . . . . . . . 346,574 229,492 104,350 331,786 7,539 7,083 18,400 18,377 1,297,844 82.2 19.4Warren-Troy-Farmington Hills, MI . . . . . . . . . . . . . . . . . 422,632 279,262 135,053 381,120 7,889 10,032 26,070 26,011 1,679,998 89.7 31.2

Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,018 15,631 6,387 21,934 808 605 1,213 1,110 92,270 78.2 17.1Dover, DE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25,791 17,561 8,230 24,843 774 756 1,649 1,649 94,750 83.8 18.5Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,396 8,883 4,513 12,462 453 476 970 970 59,605 89.4 25.3Duluth, MN-WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,432 25,987 13,445 44,493 963 1,159 2,965 2,965 183,833 90.9 23.4Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,271 46,548 19,723 60,738 2,260 2,266 (NA) (NA) 304,932 85.3 41.1Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,159 15,645 7,514 23,414 570 808 1,833 1,833 99,886 89.5 24.1

El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,975 24,800 12,158 33,004 1,047 534 1,791 1,791 91,414 62.4 10.4Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,479 12,219 6,007 17,555 444 275 (NA) (NA) 71,455 83.7 18.3Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,118 25,951 10,167 32,504 1,026 925 1,784 1,784 124,184 77.9 16.8Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,838 9,069 4,201 14,173 422 372 783 783 59,678 86.0 21.0El Paso, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172,131 121,359 50,772 154,717 4,888 4,777 9,075 9,075 415,887 68.9 18.0Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,342 27,611 14,505 42,696 1,046 1,199 (NA) (NA) 182,698 88.5 23.0

Eugene-Springfield, OR . . . . . . . . . . . . . . . . . . . . . . . . . 46,197 30,792 15,274 48,529 1,323 639 2,904 2,904 230,576 89.3 27.6Evansville, IN-KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,683 34,536 16,147 51,370 1,410 1,383 (NA) (NA) 232,714 85.9 19.4Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,533 13,506 6,027 17,106 417 398 929 927 55,615 94.0 26.9Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,963 19,334 8,629 28,324 1,098 670 1,789 1,789 115,208 93.2 33.9Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,192 16,151 7,041 24,551 999 448 1,360 1,352 74,080 79.9 13.4Fayetteville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,195 43,326 17,869 57,705 2,064 2,012 (NA) (NA) 208,242 86.5 20.4

Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . . . 73,933 53,094 20,820 56,108 1,798 2,112 3,878 3,878 265,402 81.8 24.7Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,908 13,030 6,878 19,781 718 466 1,345 1,345 74,989 86.2 32.4Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,437 57,178 25,814 78,682 1,610 1,688 4,349 4,349 286,221 87.6 18.8Florence, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,397 24,391 10,006 33,976 1,425 683 (NA) (NA) 129,894 77.5 19.4Florence-Muscle Shoals, AL. . . . . . . . . . . . . . . . . . . . . . . 21,354 14,897 6,457 21,764 781 648 1,280 1,215 97,055 79.9 18.1Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,240 9,838 4,402 15,806 339 485 1,137 1,137 66,391 87.7 17.5

Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . . . 42,297 28,619 13,678 38,986 1,025 1,167 2,984 2,902 181,296 93.7 41.6Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,168 37,176 15,760 50,608 1,430 1,548 3,166 3,166 188,271 77.8 14.0Fort Walton Beach-Crestview-Destin, FL . . . . . . . . . . . . . . 30,196 20,480 9,716 30,254 717 825 2,020 1,951 123,195 90.2 28.1Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,335 45,713 20,622 62,077 1,909 1,623 3,829 3,829 261,842 88.1 23.4Fresno, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 194,936 133,930 60,751 178,962 5,637 2,578 10,036 10,036 515,516 72.1 18.8Gadsden, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,253 11,475 4,778 15,828 635 494 908 866 70,437 78.8 14.8

Gainesville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,041 22,376 10,665 33,690 700 802 1,984 1,965 147,840 89.0 36.8Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,093 23,092 8,001 23,360 1,166 789 1,365 1,216 108,576 73.0 18.6Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,535 13,560 6,995 22,703 772 751 1,464 1,464 89,523 87.2 21.7Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,718 14,032 5,686 19,683 624 681 (NA) (NA) 73,825 80.2 15.6Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,278 9,524 4,754 16,806 620 412 1,031 1,031 57,784 88.7 27.5Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,829 15,108 6,721 20,033 490 668 1,389 1,285 90,196 88.3 23.4

Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . . . 136,401 92,997 41,361 123,234 2,812 3,168 7,539 7,496 491,310 86.9 25.7Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,154 8,024 4,095 14,201 570 292 788 788 54,589 90.6 23.5Greeley, CO12 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,829 29,876 10,953 29,365 910 1,088 1,991 1,896 142,163 82.3 24.3Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,150 32,620 16,530 46,594 1,383 1,809 3,451 3,451 197,638 89.0 23.2Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . . . 110,855 78,345 32,510 98,599 3,569 3,757 (NA) (NA) 458,289 81.2 24.9Greenville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,189 18,620 7,569 23,242 931 855 (NA) (NA) 101,618 83.1 26.3








2007



2007

Total,22000

Ele-mentary6

Second-ary7 Total10

Diplomarecipients

Popula-tion

25 yearsand over

(1,000)

Highschool

graduateor

higher11

(percent-age)

Bachelor’sdegree

or higher(percent-

age)Total2

Pre-kinder-garten

tograde

83Grades

9–12

Greenville-Mauldin-Easley, SC . . . . . . . . . . . . . . . . . . . . . 91,880 66,318 25,562 85,091 3,848 1,605 (NA) (NA) 396,161 80.9 25.6Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,935 25,089 9,936 39,809 1,042 880 1,925 1,784 155,087 81.6 18.8Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . . . 40,645 28,553 12,092 35,149 1,193 1,094 2,471 2,435 174,330 83.2 18.1Hanford-Corcoran, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 27,929 19,761 8,166 25,155 868 371 1,323 1,323 87,345 70.3 11.6Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . . . 80,714 53,098 27,595 98,334 1,850 2,325 (NA) (NA) 359,322 88.5 27.4Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,295 11,322 4,973 14,181 478 897 1,029 968 68,338 76.3 23.8

Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . . . 195,213 135,029 60,184 199,576 8,382 4,873 13,852 13,852 797,516 87.7 33.1Hattiesburg, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,161 15,607 6,162 21,692 636 618 1,211 1,131 81,216 83.0 25.6Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . . . 58,574 41,137 17,437 55,585 1,913 1,933 (NA) (NA) 245,399 76.0 16.0Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . . . 13,223 9,527 3,696 13,067 412 349 672 622 38,203 86.9 13.9Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . . . 44,376 30,285 13,632 45,869 866 1,039 2,737 2,729 157,163 90.1 27.9Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125,222 87,701 37,428 185,860 5,069 5,289 11,119 10,922 611,172 88.8 30.0

Hot Springs, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,770 9,653 4,115 12,651 319 463 874 874 67,072 85.0 19.0Houma-Bayou Cane-Thibodaux, LA . . . . . . . . . . . . . . . . . 33,524 23,861 9,663 35,499 1,604 693 1,922 1,730 128,201 70.7 13.6Houston-Sugar Land-Baytown, TX . . . . . . . . . . . . . . . . . . 1,102,956 799,946 303,010 924,963 30,154 26,541 55,552 55,552 3,405,541 78.7 27.3Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . . . 44,256 30,701 13,471 45,906 1,152 1,122 (NA) (NA) 195,728 81.2 15.8Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,225 42,941 18,284 55,144 2,357 1,824 3,351 3,235 248,632 85.2 34.0Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25,145 17,607 7,538 23,888 601 624 1,649 1,649 68,904 87.7 23.2

Indianapolis-Carmel, IN. . . . . . . . . . . . . . . . . . . . . . . . . . 287,013 204,761 82,252 245,442 8,333 7,248 14,625 14,625 1,084,900 87.2 29.6Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,784 12,317 5,467 16,993 573 550 1,164 1,162 85,780 93.5 46.0Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,739 8,074 4,370 13,660 460 412 786 786 56,331 92.0 52.6Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,940 17,674 8,839 25,536 507 662 1,606 1,605 109,152 88.6 17.5Jackson, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,168 62,676 23,585 83,945 2,330 2,136 4,238 3,998 328,669 83.8 28.4Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,472 11,769 5,327 16,380 699 325 912 850 71,925 81.5 22.3

Jacksonville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205,011 146,261 58,750 188,500 4,977 4,820 10,905 10,209 842,419 87.9 25.6Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,351 16,695 6,656 21,350 726 752 (NA) (NA) 82,512 87.9 15.7Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,226 19,115 9,111 27,138 739 1,048 1,719 1,719 105,153 87.2 18.4Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,083 13,288 6,795 22,275 792 907 1,475 1,475 95,209 85.1 22.7Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,958 18,399 8,227 26,483 1,107 534 1,760 1,681 132,891 79.2 21.5Johnstown, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,530 12,953 7,577 20,430 491 607 (NA) (NA) 103,014 85.7 17.2

Jonesboro, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,244 14,484 5,759 18,230 594 622 1,233 1,233 73,250 81.1 19.5Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,836 20,319 8,517 26,726 849 945 1,571 1,571 109,742 82.3 17.8Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . . 53,534 36,219 16,331 51,029 1,185 1,331 3,202 3,193 202,029 89.5 30.1Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,656 13,876 5,780 18,608 430 597 1,199 1,199 70,286 84.5 17.4Kansas City, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . 331,073 231,206 99,662 311,998 9,898 11,633 20,859 20,859 1,286,531 89.5 31.2Kennewick-Pasco-Richland, WA . . . . . . . . . . . . . . . . . . . . 45,269 31,089 14,180 39,202 1,048 1,024 2,499 2,499 138,137 81.9 22.4

Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . . 73,730 54,296 19,434 63,737 2,116 1,903 3,616 3,616 211,260 87.1 20.5Kingsport-Bristol-Bristol, TN-VA . . . . . . . . . . . . . . . . . . . . 45,201 30,815 14,020 44,048 1,716 1,476 2,608 2,441 216,454 78.0 16.7Kingston, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,874 17,194 11,339 28,540 874 829 1,846 1,846 124,028 87.5 28.6Knoxville, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101,073 68,810 30,898 91,762 3,808 1,933 5,585 5,373 454,910 84.5 27.1Kokomo, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,925 11,744 5,181 16,946 495 514 986 986 68,516 84.1 17.2La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,810 13,321 6,489 19,345 550 748 1,477 1,477 83,005 91.8 27.7

Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25,025 17,110 7,915 23,834 715 712 1,480 1,480 107,862 88.2 31.2Lafayette, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,837 28,169 10,668 38,811 1,684 719 2,119 2,028 158,683 81.8 24.0Lake Charles, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,777 24,536 9,241 34,547 1,506 708 1,820 1,745 122,776 80.4 18.1Lake Havasu City-Kingman, AZ . . . . . . . . . . . . . . . . . . . . 27,966 19,881 8,079 24,022 801 378 1,380 1,380 134,772 81.6 11.4Lakeland-Winter Haven, FL . . . . . . . . . . . . . . . . . . . . . . . 92,445 66,473 25,972 78,685 2,336 2,559 4,374 3,992 374,804 81.2 17.2Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,511 47,071 24,330 68,300 1,740 2,068 (NA) (NA) 324,515 81.1 23.2Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . . . 73,588 48,678 23,914 72,477 1,484 1,715 4,632 4,628 282,024 90.7 30.3

Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,529 47,572 15,957 48,750 1,637 1,511 2,901 2,901 117,257 59.5 16.5Las Cruces, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,152 27,485 11,667 36,749 1,603 679 2,191 2,150 114,132 74.2 24.6Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . . . 303,596 218,730 84,866 217,518 7,692 5,290 12,433 10,943 1,166,163 82.4 20.4Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,139 8,924 4,215 12,981 426 522 875 875 63,816 95.0 46.1Lawton, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,398 16,116 6,116 22,785 553 604 1,254 1,254 66,486 87.4 18.8Lebanon, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,566 13,036 6,530 18,114 474 540 (NA) (NA) 87,314 83.1 18.0

Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,073 5,994 3,079 9,444 228 249 634 633 40,830 89.0 17.4Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,074 10,871 5,203 16,866 937 449 1,119 1,116 72,782 83.2 17.2Lexington-Fayette, KY . . . . . . . . . . . . . . . . . . . . . . . . . . 61,653 43,673 17,928 57,062 2,037 909 (NA) (NA) 289,034 85.6 33.1Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,421 11,837 5,584 19,337 403 481 1,182 1,182 68,465 87.2 16.0Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,986 27,488 12,498 38,399 1,978 900 2,577 2,560 179,554 92.9 34.8Little Rock-North Little Rock-Conway, AR . . . . . . . . . . . . . . 106,263 75,689 30,564 97,023 2,558 3,290 5,430 5,430 427,032 87.3 26.9

Logan, UT-ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,790 16,860 6,930 22,011 483 476 (NA) (NA) 59,372 91.5 32.3Longview, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,971 26,942 11,029 37,653 1,072 1,152 2,208 2,208 131,887 82.2 18.5Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,119 12,057 6,062 17,688 423 389 946 946 65,636 84.6 13.4Los Angeles-Long Beach-Santa Ana, CA . . . . . . . . . . . . 2,169,136 1,479,222 686,955 2,134,308 61,846 28,169 112,674 112,674 8,164,250 76.6 29.3

Los Angeles-Long Beach-Glendale, CA . . . . . . . . . . . . . 1,664,616 1,138,496 524,500 1,650,948 48,126 21,811 82,524 82,524 6,239,833 74.8 27.6Santa Ana-Anaheim-Irvine, CA . . . . . . . . . . . . . . . . . . . 504,520 340,726 162,455 483,360 13,720 6,359 30,150 30,150 1,924,417 82.4 34.6

Louisville/Jefferson County, KY-IN . . . . . . . . . . . . . . . . . . . 180,725 123,729 54,097 172,343 5,262 3,201 (NA) (NA) 820,804 84.7 23.3Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,739 32,260 12,479 43,839 1,379 1,057 2,609 2,609 156,236 82.1 26.9Lynchburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,070 24,769 11,301 35,437 1,041 2,050 2,219 2,060 159,781 81.4 21.2Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,561 27,267 10,294 37,025 1,271 1,017 1,715 1,439 144,646 78.9 20.5Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,937 19,961 8,484 24,465 867 430 862 862 87,967 68.1 11.7Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,604 54,342 26,262 76,938 2,332 3,195 5,683 5,683 357,830 93.2 41.2








2007



2007

Total,22000

Ele-mentary6

Second-ary7 Total10

Diplomarecipients

Popula-tion

25 yearsand over

(1,000)

Highschool

graduateor

higher11

(percent-age)

Bachelor’sdegree

or higher(percent-

age)Total2

Pre-kinder-garten

tograde

83Grades

9–12

Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . . . 66,127 43,349 22,778 72,064 2,786 1,411 (NA) (NA) 269,021 90.1 33.4Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,959 12,946 6,013 23,284 460 633 1,325 1,325 86,311 83.2 14.1McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . . . 188,020 138,918 49,102 139,502 5,097 4,745 8,022 8,022 366,829 59.3 15.0Medford, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,673 19,199 9,474 29,201 794 418 1,562 1,562 136,019 87.3 23.5Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . . . 232,687 162,690 65,241 210,556 8,121 4,388 12,228 11,447 798,626 83.3 23.9Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,987 38,102 17,826 50,549 1,709 822 3,554 3,554 136,896 67.2 12.7

Miami-Fort Lauderdale-Pompano Beach, FL . . . . . . . . . . 789,311 547,517 241,794 (NA) 17,887 18,131 42,898 39,170 3,698,769 81.9 27.8Fort Lauderdale-Pompano Beach-Deerfield Beach, FL . . . 263,419 183,519 79,900 241,094 5,553 6,306 14,866 13,732 1,207,122 86.6 28.5Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . . . . 353,790 245,002 108,788 (NA) 8,585 7,039 18,740 16,941 1,591,512 76.1 25.7West Palm Beach-Boca Raton-Boynton Beach, FL . . . . . . 172,102 118,996 53,106 150,135 3,749 4,786 9,292 8,497 900,135 86.0 30.4

Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . . . . 17,863 12,240 5,623 17,965 500 477 978 978 75,002 85.0 16.4Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,285 16,523 6,762 23,529 745 522 1,406 1,406 75,489 78.9 25.1

Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . . . 242,400 163,690 78,710 242,068 5,883 7,378 16,056 16,056 1,007,887 87.8 29.7Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . . . 530,625 355,452 175,173 519,345 13,491 14,611 34,876 34,876 2,074,591 92.2 36.5Missoula, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,283 8,979 4,304 13,909 571 284 908 908 67,250 92.4 36.9Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,097 46,913 18,184 65,032 2,482 1,808 3,226 2,995 256,937 81.5 19.4Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,612 72,928 32,905 95,090 3,302 1,359 4,969 4,969 304,893 74.5 15.3Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,460 23,008 8,452 31,706 1,280 592 1,550 1,507 107,346 81.1 21.5

Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,031 17,543 9,215 24,539 484 570 1,801 1,800 101,699 86.6 16.3Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,298 40,869 15,429 56,645 2,088 1,526 2,564 2,413 228,869 82.3 25.8Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,817 9,267 4,550 15,359 343 406 934 934 71,440 84.7 27.7Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,262 14,932 6,183 18,405 794 370 1,110 1,057 90,382 73.0 12.3Mount Vernon-Anacortes, WA . . . . . . . . . . . . . . . . . . . . . 19,394 13,098 6,296 18,778 449 430 1,108 1,107 76,072 84.6 22.2Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,055 11,500 5,555 17,751 488 553 1,106 1,106 71,881 83.7 21.7

Muskegon-Norton Shores, MI. . . . . . . . . . . . . . . . . . . . . . 33,646 22,697 10,171 32,247 597 741 1,887 1,881 113,623 87.1 17.3Myrtle Beach-North Myrtle Beach-Conway, SC . . . . . . . . . . 36,124 25,761 10,363 27,989 1,452 689 (NA) (NA) 168,232 85.8 20.6Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,133 13,540 6,593 19,381 637 305 1,181 1,181 88,198 82.5 28.3Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . . . 43,144 30,173 12,971 32,306 1,145 1,031 2,471 2,269 226,350 84.0 30.0Nashville-Davidson—Murfreesboro—Franklin, TN . . . . . . . . 233,081 163,141 66,671 197,524 9,434 4,167 12,560 11,978 979,887 84.5 28.2New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . . . 137,097 95,052 42,045 127,826 5,546 2,572 7,818 7,818 564,716 87.3 30.9

New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . . . 128,353 91,138 37,215 195,029 5,788 2,551 6,067 5,884 727,265 82.0 24.8New York-Northern New Jersey-Long Island, NY-NJ-PA . . 2,704,714 1,763,755 796,749 2,646,715 84,030 77,720 (NA) (NA) 12,614,787 83.6 34.6

Edison-New Brunswick, NJ. . . . . . . . . . . . . . . . . . . . . . 362,876 240,292 109,762 324,592 9,891 12,278 23,902 23,902 1,564,972 89.0 35.9Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . 475,693 320,074 147,190 451,486 15,733 13,861 31,719 31,719 1,843,685 89.3 35.4Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . . . 350,903 234,395 101,804 324,043 10,722 12,705 (NA) (NA) 1,414,600 86.0 35.6New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . . . 1,515,242 968,994 437,993 1,546,594 47,685 38,876 78,635 78,635 7,791,530 80.7 33.9

Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . 27,147 17,864 8,748 28,212 508 712 1,692 1,684 106,707 85.4 23.0Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . . . 44,106 30,054 14,052 42,456 1,806 869 2,785 2,785 181,247 89.6 29.4Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,572 29,655 12,917 38,391 952 1,074 2,325 2,195 225,461 83.7 15.6Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,998 8,855 4,398 15,391 425 527 1,043 1,043 70,429 86.5 26.9Odessa, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,629 19,176 7,453 27,294 680 664 1,330 1,330 75,694 70.5 12.2Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . 109,745 77,523 32,222 103,567 2,128 1,991 (NA) (NA) 287,309 91.5 27.3

Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198,784 142,214 55,364 185,902 5,172 4,950 11,140 11,140 749,858 86.2 26.9Olympia, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,320 25,214 13,106 37,786 882 857 2,354 2,351 157,968 92.2 31.1Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . . . 138,186 95,469 42,717 129,777 5,932 3,207 8,559 8,514 520,304 90.2 31.7Orlando-Kissimmee, FL. . . . . . . . . . . . . . . . . . . . . . . . . . 342,501 235,322 107,179 263,963 6,984 8,607 18,470 16,881 1,323,666 86.4 27.4Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,273 15,526 7,747 23,897 602 856 1,684 1,684 107,246 89.2 24.2Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,037 12,573 5,435 17,257 591 281 (NA) (NA) 74,310 84.2 15.4

Oxnard-Thousand Oaks-Ventura, CA. . . . . . . . . . . . . . . . . 146,387 99,685 46,654 137,410 4,021 1,891 8,015 8,015 503,006 82.3 30.1Palm Bay-Melbourne-Titusville, FL . . . . . . . . . . . . . . . . . . 75,582 52,229 23,353 69,661 1,908 1,734 4,631 4,522 379,268 89.5 26.2Palm Coast, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,070 8,473 3,597 6,286 281 349 545 509 60,455 88.3 20.5Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . . 27,005 19,074 7,931 25,812 611 630 1,531 1,482 112,441 84.7 21.1Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . . . 25,807 17,813 7,994 28,011 701 676 1,703 1,703 112,532 85.6 17.0Pascagoula, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,215 19,504 8,303 29,636 856 705 1,651 1,553 98,076 82.6 17.4Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . . . 68,160 47,370 20,790 67,466 1,563 1,905 3,803 3,660 297,783 85.9 23.3

Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,718 42,504 18,214 59,819 1,459 1,923 3,816 3,816 244,566 89.1 24.4Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . 873,769 585,752 274,168 833,407 22,565 24,928 (NA) (NA) 3,838,551 86.7 31.2

Camden, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212,701 138,717 62,587 202,683 5,978 6,954 14,201 14,201 826,037 87.4 28.8Philadelphia, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 560,650 378,032 180,675 536,515 13,561 14,811 (NA) (NA) 2,559,538 86.3 32.6Wilmington, DE-MD-NJ . . . . . . . . . . . . . . . . . . . . . . . . 100,418 69,003 30,906 94,209 3,026 3,163 5,981 5,963 452,976 87.3 28.3

Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . . 714,545 514,782 199,670 534,616 23,422 8,935 34,948 34,948 2,570,910 83.6 26.5

Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,071 12,008 5,032 18,745 492 506 993 993 67,112 79.4 14.5Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341,174 219,006 121,856 349,851 8,497 10,621 (NA) (NA) 1,655,335 89.5 27.2Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,748 12,481 6,247 20,949 762 511 1,293 1,288 91,051 88.8 30.1Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,234 10,640 4,594 16,075 385 380 1,016 1,007 51,351 87.8 27.7Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . . . 75,043 50,913 24,130 79,232 4,205 1,990 4,960 4,945 356,283 91.1 33.0Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . . . 329,990 227,718 101,800 308,859 9,411 5,317 18,727 18,721 1,433,533 89.2 31.9

Port St. Lucie, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,290 40,134 17,156 45,501 1,093 1,326 2,763 2,609 277,295 84.1 21.7Poughkeepsie-Newburgh-Middletown, NY . . . . . . . . . . . . . 114,177 76,395 35,162 109,061 3,501 3,130 7,351 7,351 425,247 87.2 28.1Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,985 19,675 8,307 23,881 837 369 1,462 1,462 147,413 87.2 22.8Providence-New Bedford-Fall River, RI-MA. . . . . . . . . . . . . 234,888 159,683 75,190 249,089 8,023 7,742 15,705 15,585 1,080,873 81.3 27.4Provo-Orem, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105,074 76,522 28,552 82,078 2,094 1,618 (NA) (NA) 230,478 92.7 34.6Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,686 18,914 7,772 24,409 657 789 1,432 1,338 100,081 85.0 20.5








2007



2007

Total,22000

Ele-mentary6

Second-ary7 Total10

Diplomarecipients

Popula-tion

25 yearsand over

(1,000)

Highschool

graduateor

higher11

(percent-age)

Bachelor’sdegree

or higher(percent-

age)Total2

Pre-kinder-garten

tograde

83Grades

9–12

Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,888 11,703 6,185 16,753 335 438 1,354 1,321 119,443 88.1 19.5Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,941 21,556 10,385 29,705 829 986 1,896 1,896 127,791 86.5 22.9Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171,644 124,230 47,414 125,344 5,703 5,322 (NA) (NA) 644,335 88.3 40.3Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,097 13,095 6,002 20,534 778 318 1,360 1,360 76,880 91.5 26.2Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,504 45,736 24,730 63,793 1,748 1,968 (NA) (NA) 264,853 81.9 21.5Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,758 18,627 10,131 30,272 898 458 1,907 1,907 120,022 87.7 17.8

Reno-Sparks, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,407 45,894 19,513 54,911 1,641 1,269 3,140 2,754 266,050 85.6 26.7Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199,752 138,169 61,583 183,265 5,166 10,810 12,004 11,164 791,101 84.9 30.2Riverside-San Bernardino-Ontario, CA. . . . . . . . . . . . . . . . 837,099 576,989 259,232 681,385 23,632 10,601 41,487 41,487 2,383,919 77.5 18.7Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,386 31,468 13,918 43,885 1,290 2,481 2,629 2,478 206,296 83.4 23.3Rochester, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29,644 19,736 9,908 28,433 819 883 2,213 2,213 118,012 92.8 33.7Rochester, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170,426 112,974 55,623 183,014 5,806 5,347 11,055 11,055 676,084 87.8 30.2

Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,274 42,074 17,200 51,706 1,357 1,527 3,043 3,043 225,956 84.2 19.8Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,905 19,137 7,768 26,734 771 931 (NA) (NA) 95,820 77.0 15.6Rome, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,203 11,635 4,568 15,330 595 482 822 733 61,926 74.6 16.4Sacramento—Arden-Arcade—Roseville, CA . . . . . . . . . . . . 357,023 242,820 113,700 324,511 10,783 5,143 20,653 20,653 1,329,626 86.6 29.6Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . . . 34,615 22,658 11,372 37,290 651 769 2,027 2,010 133,918 86.4 17.9St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,837 18,081 9,756 29,987 747 816 2,090 2,090 112,862 89.0 22.2

St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24,753 17,612 7,141 18,501 495 452 (NA) (NA) 75,586 90.0 20.5St. Joseph, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,562 12,843 5,682 20,140 658 658 1,325 1,325 81,880 86.1 16.6St. Louis, MO-IL13 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431,840 295,380 136,460 431,976 12,933 13,449 27,393 27,393 1,839,338 86.5 28.0Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,120 44,160 19,957 59,096 2,249 982 3,517 3,517 243,615 82.5 22.1Salinas, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,293 50,560 20,695 71,186 2,141 891 3,392 3,392 249,937 70.3 23.6Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,368 12,360 5,008 17,420 672 552 1,053 1,028 75,998 82.6 22.1

Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200,520 141,347 59,165 192,140 3,861 3,807 (NA) (NA) 641,547 88.7 29.0San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,427 12,863 5,564 19,825 502 484 1,134 1,134 66,564 79.4 21.1San Antonio, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 377,835 272,211 105,624 322,482 10,229 9,226 19,756 19,756 1,197,728 80.8 23.9San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . . . 494,298 334,598 159,501 480,017 14,748 6,379 28,816 28,816 1,875,222 84.9 33.2Sandusky, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,904 8,595 4,309 15,143 329 448 928 928 53,925 87.5 19.1

San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . . . 553,256 374,753 178,212 557,490 17,143 8,341 32,981 32,981 2,902,636 86.8 42.5Oakland-Fremont-Hayward, CA. . . . . . . . . . . . . . . . . . . 379,313 258,142 120,961 374,375 11,563 5,491 21,916 21,916 1,641,661 86.5 38.3San Francisco-San Mateo-Redwood City, CA . . . . . . . . . 173,943 116,611 57,251 183,115 5,580 2,850 11,065 11,065 1,260,975 87.2 47.9

San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . . . 267,775 185,286 82,177 265,917 8,267 3,682 15,461 15,461 1,186,825 85.2 43.2San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . . . 35,541 22,698 12,843 37,622 1,059 600 2,588 2,588 170,006 87.5 29.5Santa Barbara-Santa Maria-Goleta, CA . . . . . . . . . . . . . . . 66,485 45,373 21,112 65,429 2,001 919 3,883 3,883 248,680 80.6 30.6

Santa Cruz-Watsonville, CA. . . . . . . . . . . . . . . . . . . . . . . 36,619 24,091 12,528 40,706 1,138 523 2,409 2,409 163,501 84.9 37.7Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,008 11,760 4,248 15,548 611 337 766 742 98,490 85.4 39.3Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . . . . . . . . . . 71,248 47,974 23,181 72,034 2,186 1,083 4,297 4,297 312,174 85.7 30.4Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,624 37,602 14,022 49,648 1,771 1,548 2,419 2,173 203,573 85.6 26.2Scranton—Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . 77,949 50,355 27,425 72,973 1,853 2,261 (NA) (NA) 384,306 86.4 20.5

Seattle-Tacoma-Bellevue, WA . . . . . . . . . . . . . . . . . . . . 495,664 336,509 159,155 481,642 10,985 10,046 28,730 28,621 2,214,581 90.8 35.8Seattle-Bellevue-Everett, WA . . . . . . . . . . . . . . . . . . . . 364,837 246,799 118,038 355,548 8,128 7,478 21,738 21,636 1,719,052 91.2 39.4Tacoma, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130,827 89,710 41,117 126,094 2,858 2,568 6,992 6,985 495,529 89.2 23.0

Sebastian-Vero Beach, FL. . . . . . . . . . . . . . . . . . . . . . . . 16,814 11,394 5,420 14,763 416 443 992 941 95,171 86.3 25.3Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,386 12,851 6,535 19,651 504 748 1,438 1,438 77,528 88.1 20.8Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . . . . . . . 21,207 14,714 6,493 19,952 628 678 1,332 1,332 77,979 82.6 18.9Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . . . 67,392 49,185 18,207 70,276 2,825 1,332 3,781 3,385 246,257 82.7 21.2

Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . . . 25,761 17,749 8,012 25,797 996 758 1,644 1,642 89,528 84.8 20.2Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,512 23,230 10,282 31,197 1,345 616 2,121 2,121 142,894 90.3 28.3South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . 49,075 34,028 14,723 46,808 1,178 1,221 2,636 2,636 201,915 85.4 23.9Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,598 32,065 13,533 41,894 1,903 966 (NA) (NA) 181,168 78.1 18.6Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,835 48,979 23,856 73,119 1,766 1,670 4,807 4,807 293,788 90.8 26.8Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,519 23,157 9,362 44,951 927 1,194 2,033 2,033 139,535 89.6 29.1

Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108,215 74,561 33,569 110,642 4,837 2,501 6,386 6,212 445,162 85.6 28.5Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,236 44,358 18,878 57,651 1,825 2,143 3,699 3,699 266,019 86.8 23.4Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24,146 16,352 7,794 25,495 554 606 1,460 1,460 94,948 84.6 16.2State College, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,973 9,758 6,201 14,438 379 484 (NA) (NA) 79,318 91.9 40.2Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135,954 93,911 41,945 117,382 4,116 1,900 7,118 7,118 399,430 76.1 16.8Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,971 12,852 5,119 19,042 747 266 (NA) (NA) 65,871 79.2 16.9

Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111,978 75,140 35,631 118,774 3,572 3,432 6,480 6,480 419,540 87.8 26.9Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,298 33,982 13,316 47,314 1,089 1,198 2,491 2,388 215,077 86.8 34.1Tampa-St. Petersburg-Clearwater, FL . . . . . . . . . . . . . . . . 390,571 275,116 115,455 335,738 9,087 8,717 20,361 19,443 1,880,920 85.9 25.1Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,367 18,931 8,436 27,893 824 758 1,530 1,530 110,349 85.1 18.9Texarkana, TX-Texarkana, AR . . . . . . . . . . . . . . . . . . . . . 23,888 16,900 6,929 23,133 666 811 1,390 1,390 88,868 81.4 16.1Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107,067 73,966 33,099 105,835 1,822 2,742 6,599 6,599 419,106 87.2 23.0

Topeka, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,350 25,153 11,934 37,828 1,237 1,560 2,325 2,325 152,083 89.3 26.0Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,999 36,881 16,660 55,492 1,617 2,100 3,754 3,754 240,395 85.7 37.5Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151,055 105,650 45,352 129,692 4,647 2,637 8,418 8,418 621,398 86.6 29.6Tulsa, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158,393 114,304 43,553 153,082 3,938 4,018 8,853 8,853 581,907 86.6 24.6Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,746 22,952 8,794 30,440 1,246 875 1,530 1,446 124,156 81.7 24.2Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,873 24,333 9,540 30,344 931 880 1,911 1,911 124,332 83.3 22.7








2007



2007

Total,22000

Ele-mentary6

Second-ary7 Total10

Diplomarecipients

Popula-tion

25 yearsand over

(1,000)

Highschool

graduateor

higher11

(percent-age)

Bachelor’sdegree

or higher(percent-

age)Total2

Pre-kinder-garten

tograde

83Grades

9–12

Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,655 32,276 15,147 50,859 1,609 1,497 2,991 2,991 200,592 85.1 19.8Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,583 15,575 6,008 21,055 776 597 1,143 1,016 77,109 81.2 21.3Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,072 46,567 23,505 72,575 2,155 1,066 4,434 4,434 261,613 85.5 22.3Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,878 15,197 5,681 21,463 569 533 1,061 1,061 71,731 77.9 15.7Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . 26,983 17,893 7,804 25,431 836 940 1,583 1,583 102,771 73.1 12.7

Virginia Beach-Norfolk-Newport News, VA-NC. . . . . . . . . . . 275,348 189,604 85,744 277,077 7,234 14,498 (NA) (NA) 1,049,050 87.8 26.6Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,251 66,763 27,459 84,938 2,871 1,217 4,533 4,533 234,743 66.5 12.3Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,923 29,915 12,008 39,407 1,187 1,168 2,451 2,451 134,247 78.2 19.6Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25,193 17,816 7,377 21,389 888 728 1,420 1,327 80,588 87.5 23.2Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . 830,707 566,994 258,633 749,998 (NA) (NA) (NA) (NA) 3,479,121 89.2 46.2

Bethesda-Frederick-Gaithersburg, MD . . . . . . . . . . . . . . 178,038 119,804 58,234 166,779 6,516 4,972 12,691 12,523 767,739 91.1 52.2Washington-Arlington-Alexandria, DC-VA-MD-WV. . . . . . . 652,669 447,190 200,399 583,219 (NA) (NA) (NA) (NA) 2,711,382 88.7 44.5

Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . . . 23,916 15,560 8,356 25,223 1,053 813 1,819 1,811 102,877 89.2 24.5Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,125 13,348 6,777 19,914 515 744 1,472 1,472 86,676 87.6 20.5Weirton-Steubenville, WV-OH. . . . . . . . . . . . . . . . . . . . . . 18,363 12,632 5,731 20,281 396 576 1,255 1,255 88,474 86.4 14.0Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,731 13,324 6,407 19,634 507 436 1,126 1,123 68,172 80.5 20.7Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,740 13,178 6,562 22,252 520 596 1,408 1,408 103,701 85.8 16.7Wichita, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,057 71,534 30,363 99,587 2,659 3,628 6,051 6,051 375,100 87.9 25.4

Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25,776 18,351 7,425 26,722 721 778 1,656 1,656 93,358 82.7 20.4Williamsport, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,415 11,267 6,136 19,442 417 547 (NA) (NA) 79,620 83.1 17.6Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,653 31,644 13,009 38,240 1,374 1,475 (NA) (NA) 225,065 85.8 27.7Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,295 13,900 6,395 17,717 565 1,112 1,148 1,101 79,588 82.0 21.2Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,449 52,203 21,246 63,729 2,620 2,400 (NA) (NA) 304,563 83.5 25.7Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,358 91,998 40,278 129,726 4,689 2,838 8,350 8,217 517,984 87.9 31.2

Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,057 34,605 14,452 48,132 1,277 1,020 2,563 2,562 138,305 70.4 15.7York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,543 43,657 20,587 57,487 1,707 2,019 (NA) (NA) 284,102 85.4 21.3Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . . . 89,630 58,905 30,669 97,044 2,222 2,629 (NA) (NA) 397,636 85.9 17.8Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,732 22,223 10,505 31,644 1,024 488 1,766 1,766 98,131 77.8 15.2Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,043 26,460 11,572 29,249 1,163 505 1,801 1,801 113,924 71.5 12.5

NA Not available.

1Data obtained from schools. 2Including ungraded students, these are students who are assigned to programs or classes without standard grade designation. 3Data for prekindergarten notavailable in all areas. 4Data obtained from districts. 5Full-time equivalent. 6Elementary is a general level of instruction classified by state and local practice, composed of any span of grades notabove grade 8; preschool or kindergarten included only if it is an integral part of an elementary school or a regularly established school system. 7Secondary is a general level of instruction classifiedby state and local practice and composed of any span of grades beginning with the next grade following the elementary grades and ending with or below grade 12. 8High school equivalency creden-tials, such as the GED, not included. 9Data not available for the District of Columbia, Kentucky, New Hampshire, North Carolina, Pennsylvania, South Carolina, and Utah. 10Includes all studentswho have received diplomas, as well as individuals who received a certificate of attendance or other certificate of completion in lieu of a diploma during the previous school year and subsequent sum-mer school. Use caution when comparing different areas as the types of high school completion credentials vary by state policy. 11High school equivalency credentials are included. 12The 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 coex-tensive 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 availableto do so. In many cases, the data will not be available. 13The 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 figuresfor the St. Louis, MSA.


Survey, Census, or Data Collection Method: Enrollment, number of teachers, and high school completers—Based on the Common Core of Data (CCD), a comprehensive, annual, national statis-tical database of all public elementary and secondary schools and school districts; for more information see Appendix B, Limitations of the Data and Methodology and also <http://www.nces.ed.gov/ccd/bat/>. Educational attainment—Based on the American Community Survey; the 2005–2007 ACS 3-year estimates represent the average characteristics over the 3-year period of time, formore information, see Appendix B, Limitations of the Data and Methodology, and also <http://www.census.gov/acs/www/AdvMeth/index.htm>.

Source: Enrollment, number of teachers, and high school completers—National Center for Education Statistics, Common Core of Data, accessed July 10, 2009 (related internet site <http://www.nces.ed.gov/ccd/bat/>). Educational attainment—U.S. Census Bureau, American Community Survey, ‘‘DP3YR-2. Selected Social Characteristics in the United States: 2005–2007’’ using AmericanFactFinder, accessed February 1, 2009 (related Internet site <http://factfinder.census.gov>).


Table B–7. Metropolitan Areas — Median Income, Household Income Distribution, andPoverty Status: 2005–2007



Medianfamily

incomein 2007dollars

Medianhouse-

holdincomein 2007dollars

Totalnumber

ofhouse-

holds

Percentage of households by income levelNumber whose income in

the past 12 months isbelow poverty level1

Under$25,000

$25,000–$49,999

$50,000–$74,999

$75,000–$99,999

$100,000–$199,999

$200,000and over Families

Indi-viduals Children

Abilene, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,951 39,371 60,536 30.3 31.3 19.1 9.6 8.6 1.1 4,789 23,761 9,080Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,537 47,336 279,518 24.7 27.6 19.1 12.5 13.6 2.6 15,762 84,876 26,890Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,381 39,166 60,574 33.4 28.0 17.2 9.6 9.7 2.2 6,778 32,606 12,529Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . . . 70,200 54,755 337,537 21.0 24.6 19.5 14.6 17.5 2.8 13,985 86,744 24,906Albuquerque, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,000 45,634 320,462 25.8 28.0 19.1 11.6 13.1 2.3 22,588 118,917 42,423Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,359 36,753 57,460 35.0 27.5 16.5 10.0 9.4 1.7 6,026 28,658 10,594

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . . . 66,012 54,420 305,867 20.9 24.5 20.8 13.7 17.2 2.9 12,595 66,967 22,482Altoona, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,444 40,196 51,384 30.6 30.3 19.9 10.1 8.2 1.0 3,106 15,570 4,652Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,492 41,944 87,799 29.3 28.2 17.6 11.4 11.1 2.3 7,089 37,697 14,690Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,942 45,991 31,467 26.7 27.3 16.9 13.0 14.0 2.2 1,106 13,419 1,495Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,328 65,534 124,200 15.7 21.3 20.1 15.7 22.9 4.3 5,839 32,639 11,872Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,512 42,616 51,392 27.3 30.3 20.5 11.9 9.0 1.0 3,225 16,121 5,650

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,839 41,078 68,821 31.1 28.3 18.1 12.2 8.7 1.6 5,797 26,927 9,782Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,779 59,887 132,861 22.4 20.3 18.1 12.8 20.9 5.4 5,782 45,634 9,134Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,175 37,736 46,849 34.3 28.0 17.6 9.9 8.8 1.4 4,199 18,823 6,472Appleton, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,888 56,436 85,071 19.0 25.2 22.6 17.1 14.4 1.7 2,948 15,614 5,225Asheville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,098 42,153 169,116 28.5 29.2 19.3 10.8 10.0 2.2 9,706 47,900 14,810Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . 53,526 40,115 68,554 34.9 24.4 17.9 9.5 10.4 2.8 5,046 37,287 8,371

Atlanta-Sandy Springs-Marietta, GA . . . . . . . . . . . . . . . . . 67,568 57,307 1,820,162 18.6 24.8 19.8 13.6 18.5 4.8 104,900 581,159 219,907Atlantic City-Hammonton, NJ . . . . . . . . . . . . . . . . . . . . . . 64,812 53,473 102,672 22.0 24.1 20.8 13.3 16.8 3.0 5,293 28,076 8,792Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,716 38,849 52,996 35.4 24.1 17.4 10.7 11.0 1.4 3,726 23,845 5,452Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . . . 52,523 43,190 197,580 29.0 27.3 17.5 12.1 12.1 2.0 18,549 82,650 32,547Austin-Round Rock, TX. . . . . . . . . . . . . . . . . . . . . . . . . . 69,012 54,827 560,375 20.3 25.1 19.0 12.9 18.1 4.7 29,757 196,433 62,797Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,210 44,620 235,842 27.6 27.6 17.8 11.3 13.4 2.3 29,619 147,388 64,019

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . . . 77,501 62,524 998,382 18.6 21.2 18.6 14.0 22.2 5.3 41,183 244,577 79,953Bangor, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,792 41,336 60,477 30.8 29.6 18.2 10.3 9.2 1.9 3,384 19,767 5,157Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,026 58,422 98,989 18.3 24.3 20.0 15.4 18.0 3.9 2,388 13,208 2,651Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,360 44,303 279,761 29.3 25.6 17.4 11.6 13.5 2.5 24,632 128,800 46,461Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,226 42,181 54,257 30.2 27.5 19.2 10.9 10.8 1.4 4,589 21,982 8,573Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,019 43,353 44,733 26.6 30.5 20.4 10.5 10.7 1.3 2,497 12,218 3,576

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . . . 51,535 42,056 141,740 30.7 26.5 18.2 11.3 11.6 1.8 13,027 59,772 22,216Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,409 46,766 74,831 27.2 25.6 19.5 12.8 12.6 2.2 3,714 26,721 5,826Bend, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,001 53,436 60,302 18.9 26.9 23.8 14.4 13.6 2.3 2,130 11,692 3,010Billings, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,181 44,925 59,100 26.4 28.7 19.5 12.4 11.1 1.8 2,996 16,255 5,222Binghamton, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,771 42,930 100,631 29.1 27.6 19.0 11.7 11.1 1.6 6,565 33,330 9,661Birmingham-Hoover, AL . . . . . . . . . . . . . . . . . . . . . . . . . 57,774 46,667 429,594 27.2 25.7 18.8 11.3 13.7 3.3 29,935 144,987 51,694

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,750 48,261 41,532 25.3 26.3 22.1 12.4 12.2 1.7 1,427 8,470 2,078Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . . . 54,304 37,827 59,507 33.8 26.8 17.9 11.1 9.4 0.9 3,332 28,794 3,793Bloomington, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,729 39,395 68,901 33.7 26.2 17.9 11.0 9.4 1.8 4,307 38,026 7,142Bloomington-Normal, IL. . . . . . . . . . . . . . . . . . . . . . . . . . 70,880 54,252 61,177 22.7 23.6 19.7 13.6 18.1 2.2 2,829 19,140 4,964Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,993 50,297 212,275 21.3 28.4 22.3 12.6 12.9 2.6 11,294 60,718 21,867

Boston-Cambridge-Quincy, MA-NH . . . . . . . . . . . . . . . . 83,103 66,870 1,684,779 18.9 18.8 17.5 13.9 23.9 7.1 69,080 406,889 113,697Boston-Quincy, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,231 63,620 696,066 21.0 18.8 17.3 13.6 22.6 6.7 32,874 202,630 56,190Cambridge-Newton-Framingham, MA. . . . . . . . . . . . . . . 91,461 74,010 556,748 15.9 17.7 17.0 14.1 26.5 8.7 17,098 103,360 25,907Peabody, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,656 61,505 273,755 21.8 19.5 17.4 12.9 22.4 6.0 14,589 72,974 23,856Rockingham County-Strafford County, NH. . . . . . . . . . . . 80,257 67,353 158,210 14.8 21.3 19.7 16.2 23.4 4.6 4,519 27,925 7,744

Boulder, CO2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,019 63,064 113,419 19.9 21.5 16.4 12.3 22.9 7.1 4,217 33,845 7,217

Bowling Green, KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,360 42,383 44,622 29.7 28.7 18.1 10.9 10.9 1.8 3,516 18,010 5,493Bradenton-Sarasota-Venice, FL . . . . . . . . . . . . . . . . . . . . 58,688 48,445 299,995 22.4 29.2 19.8 11.3 13.6 3.7 11,776 64,744 18,723Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . . . 67,538 57,139 91,579 18.3 24.5 22.2 13.9 18.3 2.8 3,499 20,078 5,637Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . . . 96,279 78,353 324,360 15.4 16.9 15.7 12.7 24.1 15.3 11,331 60,735 18,907Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . . . 30,024 28,026 114,787 45.4 28.1 12.7 6.0 6.5 1.3 30,043 139,788 62,472Brunswick, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,494 44,613 39,019 27.3 28.1 18.6 11.3 11.5 3.2 2,571 14,401 5,474

Buffalo-Niagara Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . 59,763 44,747 465,947 28.2 26.4 18.5 12.0 12.8 2.0 28,654 148,997 47,882Burlington, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,914 42,370 56,608 29.1 30.1 19.1 11.1 9.2 1.5 4,752 20,645 7,603Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . . . 71,438 56,284 80,394 20.2 23.5 20.6 14.9 17.9 2.9 3,260 19,655 5,849Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,456 44,530 161,150 27.1 28.8 20.4 11.3 10.7 1.7 10,008 46,454 15,839Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . . . . . . . 57,475 49,742 243,673 20.0 30.2 20.7 11.6 13.5 3.9 10,754 53,772 17,356Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,074 50,140 21,330 23.4 26.4 21.7 13.8 12.6 2.1 (NA) 6,613 2,460

Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,187 47,648 27,359 25.3 26.2 19.4 13.7 13.8 1.7 1,199 6,785 2,342Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,327 49,948 102,404 22.5 27.6 21.0 13.3 13.1 2.5 4,364 25,740 8,580Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . . . 61,644 44,115 87,476 30.1 25.3 18.4 11.5 12.2 2.5 4,546 35,913 7,054Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,325 39,526 126,252 32.3 28.4 18.1 10.0 9.4 1.8 9,835 46,325 15,570Charleston-North Charleston-Summerville, SC . . . . . . . . . . 57,487 48,315 234,599 24.1 27.7 19.7 12.2 13.1 3.2 14,885 82,287 29,367Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . . . 62,594 51,702 616,835 21.8 26.6 19.3 12.3 15.7 4.2 34,937 180,522 62,697

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,005 53,076 76,147 22.8 23.8 20.1 12.8 15.9 4.5 3,065 23,865 5,632Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,990 42,801 202,514 28.4 28.4 18.5 11.4 10.6 2.7 13,511 66,405 22,167Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,468 49,748 33,640 20.7 29.5 22.7 12.1 12.9 2.1 1,129 6,595 2,231Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . . . 70,715 58,946 3,385,546 20.2 22.3 19.2 13.7 19.5 5.1 199,492 1,087,895 399,240

Chicago-Naperville-Joliet, IL . . . . . . . . . . . . . . . . . . . . . 70,409 58,624 2,829,188 20.4 22.3 19.1 13.6 19.6 5.1 169,968 932,466 338,100Gary, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,992 50,440 262,903 24.3 25.2 20.8 13.9 13.8 1.9 18,882 94,430 38,735Lake County-Kenosha County, IL-WI . . . . . . . . . . . . . . . 83,670 71,683 293,455 14.2 19.8 18.4 15.1 23.9 8.6 10,642 60,999 22,405



Table B–7. Metropolitan Areas — Median Income, Household Income Distribution, andPoverty Status: 2005–2007—Con.



Medianfamily


Medianhouse-


Totalnumber

ofhouse-

holds



Under$25,000

$25,000–$49,999

$50,000–$74,999

$75,000–$99,999

$100,000–$199,999



Chico, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,214 40,011 84,607 32.4 26.6 17.3 11.1 11.0 1.6 5,597 37,757 9,119Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . . . 65,396 51,926 803,129 23.0 25.2 19.8 13.0 15.8 3.2 43,297 236,477 82,462Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,682 44,531 92,608 26.5 29.6 21.4 11.3 10.0 1.2 7,752 35,950 15,542Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,300 38,605 44,083 31.1 31.1 17.0 10.8 8.9 1.1 3,483 16,690 5,280Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . . . 61,193 47,600 840,369 26.4 25.6 19.0 12.2 14.0 2.8 54,016 268,666 97,845Coeur d’Alene, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,631 41,576 50,628 27.1 31.4 18.2 12.9 8.6 1.7 3,358 15,558 5,567

College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . . . 53,671 36,599 73,853 38.4 23.0 16.5 9.5 10.2 2.5 6,589 49,596 10,784Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . 67,245 55,064 226,360 20.2 25.0 20.1 14.2 17.4 3.0 11,156 58,437 19,806Columbia, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,239 43,063 66,342 28.9 27.2 18.4 10.6 12.7 2.2 3,852 25,148 6,175Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,734 46,973 271,279 25.3 27.5 19.4 12.4 13.0 2.4 17,535 89,052 30,241Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,121 38,924 108,447 33.5 27.3 17.5 10.1 9.9 1.6 11,672 50,635 21,113Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,278 52,172 27,992 20.7 26.6 23.5 13.1 13.3 2.9 1,690 7,769 3,008

Columbus, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,886 51,687 677,522 22.5 26.0 19.5 12.8 16.1 3.2 39,120 217,778 73,745Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,067 39,723 149,080 32.3 27.1 17.1 10.2 11.4 2.0 16,231 77,845 30,387Corvallis, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,007 47,117 32,517 27.4 24.5 16.4 12.2 17.4 2.1 1,306 13,177 1,699Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,876 35,787 40,370 34.8 30.5 16.6 9.7 7.5 0.9 2,633 14,279 3,705Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . 63,719 53,748 2,080,056 20.7 25.7 18.6 12.8 17.5 4.7 144,167 759,134 300,507

Dallas-Plano-Irving, TX . . . . . . . . . . . . . . . . . . . . . . . . 64,621 54,180 1,388,775 20.6 25.5 18.2 12.6 17.8 5.3 95,968 514,470 203,313Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . . . . . 62,178 52,888 691,281 21.0 26.1 19.5 13.2 16.8 3.4 48,199 244,664 97,194

Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,598 40,011 44,878 29.2 31.5 19.3 9.1 9.0 1.9 3,971 21,025 7,673Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,566 37,784 32,857 33.4 30.7 18.3 9.9 7.0 0.7 3,462 15,428 6,002Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,715 34,570 45,391 36.9 30.0 16.7 8.5 7.0 0.8 4,272 18,737 6,383Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . . . 57,684 46,028 151,011 25.7 28.2 19.5 12.2 12.1 2.3 8,669 44,654 16,574Dayton, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,418 46,249 340,416 25.4 28.0 19.1 12.0 13.4 2.0 21,253 105,624 37,162Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,217 42,204 58,878 30.2 28.5 17.8 11.3 11.0 1.2 4,581 22,371 8,160

Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,890 43,316 46,343 29.4 26.0 19.2 11.3 12.0 2.0 3,416 16,891 6,729Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . . . 52,576 41,772 201,368 28.0 30.3 19.9 10.2 9.3 2.4 10,454 60,399 16,411Denver-Aurora, CO2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,531 58,039 941,502 19.3 23.7 19.5 13.5 19.3 4.6 48,116 266,098 96,192Des Moines-West Des Moines, IA. . . . . . . . . . . . . . . . . . . 67,521 55,342 214,297 18.8 26.2 21.5 14.7 15.6 3.2 7,719 42,422 14,770Detroit-Warren-Livonia, MI. . . . . . . . . . . . . . . . . . . . . . . 66,930 53,593 1,689,695 22.9 24.0 18.6 13.2 17.8 3.5 108,599 587,961 218,819

Detroit-Livonia-Dearborn, MI . . . . . . . . . . . . . . . . . . . . . 53,805 43,232 716,137 30.1 25.8 17.7 11.4 13.1 1.9 71,071 394,901 157,480Warren-Troy-Farmington Hills, MI . . . . . . . . . . . . . . . . . 76,459 61,987 973,558 17.6 22.6 19.4 14.6 21.2 4.6 37,528 193,060 61,339

Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,465 37,137 53,191 34.4 27.6 16.7 10.2 9.3 1.7 4,431 21,325 7,679Dover, DE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,130 50,112 55,685 23.4 26.5 20.7 12.9 14.8 1.7 3,502 17,365 6,943Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,822 46,633 36,520 24.4 29.5 22.1 12.1 9.9 2.0 1,719 7,814 2,565Duluth, MN-WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,596 43,582 116,391 28.5 28.1 20.6 11.5 9.9 1.5 5,948 34,367 8,859Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,859 47,808 187,049 25.7 26.2 17.9 10.5 15.2 4.5 11,304 67,577 18,786Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,807 46,360 62,096 25.9 27.8 21.7 12.4 10.4 1.8 2,839 17,792 4,785

El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,088 35,933 45,561 34.8 27.8 16.4 9.9 9.9 1.2 6,783 30,334 12,261Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,199 44,912 42,038 24.7 31.2 18.5 12.3 12.0 1.3 2,861 12,079 4,288Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,926 47,999 70,835 22.2 29.5 22.9 12.6 10.6 2.3 4,148 21,506 8,963Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,169 39,989 34,767 30.8 29.1 18.5 8.4 11.2 2.0 2,837 12,519 4,585El Paso, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,817 33,684 229,655 38.6 28.2 15.4 8.3 8.0 1.4 44,014 200,125 87,213Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,224 42,073 107,218 29.5 28.3 19.5 11.1 10.0 1.7 7,078 40,819 13,851

Eugene-Springfield, OR . . . . . . . . . . . . . . . . . . . . . . . . . 54,100 42,079 137,630 28.7 28.8 20.5 10.4 9.7 1.9 8,056 52,173 11,407Evansville, IN-KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,046 45,162 141,508 27.4 27.2 19.5 12.9 11.1 2.0 7,515 37,956 12,445Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,807 63,044 32,550 17.1 21.7 20.6 15.6 22.5 2.6 1,390 7,352 2,580Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,053 45,513 80,333 27.1 26.9 19.7 11.7 12.2 2.4 3,478 22,765 5,214Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,425 42,331 38,466 29.7 28.7 17.1 12.1 11.1 1.4 3,847 21,142 7,379Fayetteville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,222 42,051 130,880 30.1 27.7 20.3 11.1 9.7 1.1 13,264 57,980 23,379

Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . . . 53,405 44,732 158,750 25.5 29.6 20.0 11.7 10.9 2.2 10,652 55,417 19,422Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,635 48,171 43,286 24.4 27.5 19.1 11.9 14.3 2.8 3,210 20,398 6,571Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,889 44,277 173,622 27.3 28.0 19.4 11.7 12.2 1.4 14,537 70,481 27,311Florence, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,647 39,414 72,678 31.9 28.6 18.4 10.1 9.4 1.6 6,974 33,595 12,332Florence-Muscle Shoals, AL. . . . . . . . . . . . . . . . . . . . . . . 47,903 36,755 58,668 36.0 26.6 16.2 10.3 9.4 1.4 5,673 24,922 8,350Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,523 50,647 39,184 21.0 28.2 24.3 14.7 10.5 1.4 1,416 7,862 2,167

Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . . . 71,135 53,502 111,524 21.5 25.2 18.6 13.5 17.8 3.4 4,960 35,499 8,002Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,517 35,726 107,262 35.9 29.3 17.9 8.7 7.1 1.2 10,310 51,565 19,839Fort Walton Beach-Crestview-Destin, FL . . . . . . . . . . . . . . 65,011 54,999 74,771 18.8 26.6 21.9 13.3 15.9 3.5 3,625 17,147 6,897Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,606 48,006 159,348 22.8 28.9 21.5 12.9 11.8 2.0 8,661 42,257 16,276Fresno, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,665 44,979 276,929 28.3 26.2 17.6 11.9 13.5 2.5 32,823 178,697 78,140Gadsden, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,749 34,207 43,059 36.5 30.3 16.1 8.9 7.7 0.5 3,964 16,259 5,259

Gainesville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,298 38,561 101,425 34.5 25.7 15.4 9.6 11.6 3.1 6,176 54,400 10,056Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,765 49,474 54,184 21.7 28.7 20.4 13.6 12.8 2.7 3,494 20,530 7,906Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,046 46,168 51,110 24.5 29.3 20.7 12.1 12.2 1.2 2,612 13,175 3,986Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,060 39,316 44,116 31.7 30.0 20.2 9.0 7.9 1.2 3,893 19,008 6,836Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,259 42,516 39,388 30.0 27.7 20.9 10.6 9.6 1.1 1,873 14,224 3,137Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,722 46,490 53,533 25.4 29.0 19.8 12.3 11.1 2.4 3,278 17,816 5,577

Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . . . 59,498 48,889 288,574 22.7 28.5 20.9 12.7 12.7 2.5 17,856 93,501 34,382Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,269 41,802 32,190 29.4 29.5 20.3 11.1 7.9 1.8 2,046 10,291 3,693Greeley, CO2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,189 52,457 81,024 22.3 25.3 21.3 14.0 15.1 1.9 5,174 31,990 9,214Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,644 50,910 119,412 22.4 26.6 22.0 14.0 12.9 2.1 5,946 29,406 9,944Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . . . 54,827 42,789 275,069 28.8 27.9 18.8 10.9 11.1 2.6 21,106 104,973 36,994Greenville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,164 36,498 68,011 37.3 25.6 15.9 9.4 10.2 1.7 6,271 35,203 10,201






Medianfamily


Medianhouse-


Totalnumber

ofhouse-

holds



Under$25,000

$25,000–$49,999

$50,000–$74,999

$75,000–$99,999

$100,000–$199,999



Greenville-Mauldin-Easley, SC . . . . . . . . . . . . . . . . . . . . . 53,602 43,711 233,053 28.2 28.5 18.3 11.0 11.6 2.3 16,088 81,284 26,848Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,092 43,241 91,367 29.0 29.0 18.4 10.1 11.8 1.7 7,254 34,227 11,295Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . . . 60,791 50,783 99,509 22.1 27.3 21.4 14.2 12.8 2.2 4,928 23,926 7,664Hanford-Corcoran, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 50,164 45,796 38,808 25.2 28.6 19.7 13.1 12.2 1.2 4,508 24,616 10,156Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . . . 66,778 53,496 211,113 20.4 26.2 21.0 14.5 15.4 2.6 8,050 43,804 14,172Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,628 44,860 42,427 26.5 28.8 21.3 11.2 10.3 1.9 1,499 16,360 2,623

Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . . . 80,428 64,989 455,433 18.3 20.3 18.2 15.5 22.4 5.3 18,561 99,362 32,553Hattiesburg, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,353 36,285 49,040 35.0 28.4 17.3 8.6 8.7 1.9 5,212 26,690 9,025Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . . . 48,818 39,793 136,948 31.2 30.4 19.3 9.9 7.7 1.5 9,460 48,096 14,072Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . . . 44,363 40,970 24,081 28.7 34.4 20.4 10.5 5.8 0.2 2,750 12,673 6,295Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . . . 66,986 57,536 90,396 15.9 26.6 23.3 15.4 16.4 2.3 2,197 15,682 4,280Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,667 64,355 301,189 16.4 21.6 19.7 14.8 22.9 4.6 13,078 75,623 19,999

Hot Springs, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,620 34,451 38,796 35.8 29.8 16.3 9.6 6.2 2.2 3,095 16,149 5,191Houma-Bayou Cane-Thibodaux, LA . . . . . . . . . . . . . . . . . 50,882 42,856 70,932 30.0 26.2 17.8 12.1 11.9 1.9 6,896 33,001 12,577Houston-Sugar Land-Baytown, TX . . . . . . . . . . . . . . . . . . 60,188 51,685 1,857,040 23.3 25.2 17.6 12.0 17.3 4.7 158,644 820,173 334,890Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . . . 45,336 34,606 114,923 36.7 28.4 16.0 9.4 7.8 1.6 11,455 54,327 16,110Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,923 51,275 147,283 23.3 25.7 17.9 12.2 18.1 2.8 8,173 42,133 14,248Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,636 47,099 40,910 23.3 29.2 21.0 12.6 12.0 2.0 2,436 13,246 5,420

Indianapolis-Carmel, IN. . . . . . . . . . . . . . . . . . . . . . . . . . 64,343 52,607 651,395 21.3 26.0 20.4 13.2 15.8 3.3 34,186 176,331 65,322Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,853 49,075 58,529 27.2 23.8 19.5 11.6 14.7 3.1 2,796 22,756 4,260Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,796 46,225 37,374 28.6 24.4 17.2 11.7 15.1 3.0 1,175 17,397 1,605Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,325 45,946 60,667 27.1 27.3 20.0 12.5 11.8 1.4 4,751 21,787 8,068Jackson, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,852 42,921 193,661 29.3 27.0 17.9 10.2 12.7 2.9 16,176 87,569 35,758Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,166 38,352 44,360 33.2 27.8 17.9 9.2 10.0 1.9 4,813 20,485 7,061

Jacksonville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,488 51,269 498,655 21.1 27.5 20.4 13.1 14.6 3.3 26,906 139,972 49,113Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,771 42,173 54,259 26.4 32.7 20.4 10.5 8.9 1.2 4,800 20,375 9,382Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,669 48,698 62,035 22.1 29.0 21.3 14.7 11.1 1.7 3,414 15,532 5,335Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,099 46,672 54,568 24.1 29.3 21.6 13.6 10.5 1.0 3,135 16,196 4,956Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,747 36,853 76,443 33.7 29.8 18.8 8.7 7.2 1.7 6,153 31,102 9,197Johnstown, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,249 37,030 59,305 32.9 30.4 18.7 9.4 6.9 1.7 4,254 18,725 6,090

Jonesboro, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,983 36,527 44,114 34.5 28.1 18.0 9.5 8.4 1.4 4,533 20,640 8,098Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,564 37,158 64,286 32.5 30.4 20.1 8.8 6.9 1.4 5,656 27,906 9,938Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . . 59,672 45,011 127,037 27.5 26.7 18.1 11.9 13.4 2.4 8,345 52,333 14,970Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,796 49,931 40,249 23.3 26.8 22.3 14.2 12.4 1.0 2,600 14,754 5,004Kansas City, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,504 53,564 767,120 20.9 25.8 20.0 13.6 16.6 3.1 38,876 203,168 75,033Kennewick-Pasco-Richland, WA . . . . . . . . . . . . . . . . . . . . 60,650 50,907 76,486 23.0 26.0 19.6 11.8 16.9 2.7 6,013 31,566 13,452

Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . . 51,950 45,577 120,975 23.2 31.6 21.2 11.8 10.2 2.0 9,598 48,549 23,013Kingsport-Bristol-Bristol, TN-VA . . . . . . . . . . . . . . . . . . . . 45,703 36,017 129,524 35.0 29.2 17.6 9.4 7.4 1.4 11,455 48,336 14,815Kingston, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,715 54,871 69,354 21.3 24.5 19.9 13.4 17.9 3.0 3,333 20,263 6,089Knoxville, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,685 44,511 276,343 28.0 27.6 19.4 10.8 11.6 2.7 18,315 90,962 27,001Kokomo, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,755 47,040 41,471 24.8 27.6 19.8 13.7 12.8 1.3 3,534 14,100 5,326La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,909 47,259 52,240 25.7 27.3 21.8 12.1 10.8 2.3 2,322 16,612 4,546

Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,324 42,250 72,091 30.0 27.1 18.7 11.3 11.5 1.5 3,949 28,139 6,225Lafayette, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,882 42,596 99,436 29.6 26.8 17.7 9.9 13.0 3.0 8,149 40,168 13,917Lake Charles, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,245 40,312 74,958 32.9 25.3 17.2 10.7 11.1 2.8 6,849 31,872 11,426Lake Havasu City-Kingman, AZ . . . . . . . . . . . . . . . . . . . . 45,023 37,941 75,033 29.0 35.3 16.3 9.2 8.3 1.9 5,872 27,994 9,837Lakeland-Winter Haven, FL . . . . . . . . . . . . . . . . . . . . . . . 48,969 42,534 222,196 26.4 31.3 20.3 11.2 9.2 1.6 15,837 72,129 26,636Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,499 52,933 185,001 19.3 27.4 22.2 14.4 14.2 2.4 7,990 43,280 16,358Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . . . 63,360 49,169 177,581 25.3 25.4 19.4 13.3 14.3 2.2 10,675 65,975 17,404

Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,471 34,236 60,859 38.8 27.2 16.1 9.0 8.0 1.0 13,755 68,732 33,847Las Cruces, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,453 34,118 68,164 38.3 29.2 15.1 8.2 8.3 1.0 9,756 47,068 18,219Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . . . 61,701 54,299 662,025 18.9 26.7 21.5 13.5 16.1 3.3 34,656 186,748 69,060Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,197 44,547 42,996 28.6 26.7 17.0 12.6 12.6 2.5 1,897 18,439 2,887Lawton, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,527 41,902 41,060 29.3 30.1 19.7 11.7 8.4 0.8 4,414 18,682 8,690Lebanon, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,588 49,805 49,465 20.9 29.3 22.2 15.1 11.0 1.6 1,928 9,416 3,264

Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,953 41,009 24,405 30.3 28.9 20.1 10.7 8.3 1.7 2,035 8,697 3,020Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,660 42,725 43,450 28.4 28.8 22.2 11.1 8.4 1.1 3,037 16,538 6,120Lexington-Fayette, KY . . . . . . . . . . . . . . . . . . . . . . . . . . 60,966 46,311 181,595 27.0 26.2 18.5 11.6 14.1 2.6 11,864 64,979 19,563Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,960 43,466 40,596 26.9 31.2 19.3 11.1 9.8 1.7 2,969 14,133 5,174Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,276 49,920 114,228 23.7 26.3 21.5 13.3 12.9 2.2 4,690 31,555 8,964Little Rock-North Little Rock-Conway, AR . . . . . . . . . . . . . . 57,656 45,554 259,043 25.7 28.8 19.1 11.6 12.2 2.6 17,154 88,033 31,844

Logan, UT-ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,647 44,389 35,397 24.5 30.4 20.3 12.8 10.4 1.7 2,635 17,128 4,987Longview, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,711 40,170 74,749 30.6 28.7 17.6 10.2 10.9 1.9 5,919 29,834 11,293Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,150 44,227 37,931 25.9 31.2 19.4 12.1 10.7 0.6 3,049 15,253 5,165Los Angeles-Long Beach-Santa Ana, CA . . . . . . . . . . . . 63,569 56,680 4,148,481 21.6 23.0 17.9 12.2 19.3 6.1 309,123 1,774,329 666,156

Los Angeles-Long Beach-Glendale, CA . . . . . . . . . . . . . 58,647 52,628 3,176,441 23.8 23.9 17.9 11.7 17.4 5.3 264,977 1,499,713 573,636Santa Ana-Anaheim-Irvine, CA . . . . . . . . . . . . . . . . . . . 81,260 71,601 972,040 14.4 19.8 17.9 13.7 25.7 8.5 44,146 274,616 92,520

Louisville/Jefferson County, KY-IN . . . . . . . . . . . . . . . . . . . 57,879 46,095 489,689 26.0 27.7 19.7 11.7 12.5 2.4 30,479 154,453 53,163Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,893 39,955 102,286 31.1 29.1 17.9 10.0 9.5 2.3 7,758 45,352 13,975Lynchburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,228 43,161 95,650 27.3 29.7 19.5 11.6 10.2 1.8 6,333 30,994 9,406Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,427 39,652 84,844 33.7 25.9 16.5 10.9 11.0 2.0 8,410 44,158 17,623Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,255 44,534 41,849 24.6 30.3 17.7 12.0 13.1 2.3 4,587 23,856 10,014Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,205 58,090 219,711 18.1 23.9 21.1 14.9 17.8 4.1 5,868 54,318 12,086






Medianfamily


Medianhouse-


Totalnumber

ofhouse-

holds



Under$25,000

$25,000–$49,999

$50,000–$74,999

$75,000–$99,999

$100,000–$199,999



Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . . . 79,222 67,276 149,761 15.7 19.5 20.6 16.2 23.8 4.2 5,144 28,150 10,391Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,655 41,563 49,720 28.3 29.7 19.7 11.3 9.8 1.0 2,644 14,049 5,311McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . . . 30,000 28,328 201,366 44.5 26.7 14.6 6.7 6.5 1.0 55,065 256,353 118,105Medford, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,558 43,446 80,058 27.5 29.6 19.9 11.4 10.0 1.8 4,523 25,098 6,929Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,479 44,495 475,835 28.4 26.8 17.9 10.8 13.2 3.0 45,916 224,626 91,700Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,558 44,141 72,599 29.3 26.7 19.4 10.2 12.2 2.1 9,184 46,677 20,379

Miami-Fort Lauderdale-Pompano Beach, FL . . . . . . . . . . 55,749 47,527 2,015,132 26.1 26.0 17.9 11.1 14.7 4.3 133,088 713,001 220,538Fort Lauderdale-Pompano Beach-Deerfield Beach, FL . . . 61,758 51,221 676,384 23.2 25.6 19.0 11.8 16.3 4.0 35,208 197,045 64,542Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . . . . 47,800 41,943 830,844 30.6 26.9 16.6 9.9 12.4 3.7 75,149 384,237 113,633West Palm Beach-Boca Raton-Boynton Beach, FL . . . . . . 63,456 52,351 507,904 22.5 25.2 18.4 12.1 16.2 5.6 22,731 131,719 42,363

Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . . . . 55,282 46,546 41,694 24.4 29.2 21.3 13.1 11.0 1.1 2,618 12,303 4,655Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,500 47,163 46,331 27.1 25.1 18.6 10.0 14.8 4.5 3,659 18,051 7,044

Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . . . 66,707 51,669 607,687 23.0 25.4 19.2 13.5 15.7 3.2 34,372 193,144 74,126Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . . . 79,158 63,866 1,233,149 16.2 22.0 20.1 15.5 21.5 4.7 45,207 267,494 88,739Missoula, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,759 42,687 40,636 30.0 27.2 18.6 11.0 11.0 2.3 2,121 16,888 3,515Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,874 38,596 150,853 33.5 27.7 17.9 9.6 9.3 1.9 17,235 78,620 32,401Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,338 50,375 158,836 23.4 26.1 20.2 12.5 15.0 2.8 12,489 70,510 27,686Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,547 36,364 63,125 36.4 27.1 16.6 8.9 9.5 1.7 7,443 36,439 14,770

Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,864 55,922 57,946 18.2 26.1 21.6 14.7 17.7 1.6 2,311 11,737 3,763Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,459 43,654 136,874 29.0 26.6 18.2 11.6 11.9 2.6 12,391 56,868 21,970Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,793 36,283 42,921 35.1 28.0 16.4 9.5 8.7 2.2 2,879 20,460 3,594Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,388 37,368 51,621 34.5 29.9 18.8 8.8 6.4 1.7 4,692 21,920 6,913Mount Vernon-Anacortes, WA . . . . . . . . . . . . . . . . . . . . . 57,292 50,107 42,982 22.5 27.4 22.3 11.9 13.5 2.4 2,680 15,775 5,329Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,718 36,853 46,513 32.5 31.5 17.0 9.3 8.7 1.0 3,569 20,199 5,249

Muskegon-Norton Shores, MI. . . . . . . . . . . . . . . . . . . . . . 51,789 41,984 65,259 28.2 30.3 20.1 11.5 8.7 1.2 5,105 26,951 9,310Myrtle Beach-North Myrtle Beach-Conway, SC . . . . . . . . . . 49,084 41,975 105,192 27.7 31.4 19.5 10.4 9.2 1.8 7,915 36,989 12,603Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,480 66,663 48,312 16.7 21.0 18.2 13.1 24.5 6.5 1,678 12,835 3,230Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . . . 66,846 57,166 119,883 18.1 25.8 18.7 13.2 16.8 7.2 5,206 30,540 10,954Nashville-Davidson—Murfreesboro—Franklin, TN . . . . . . . . 61,255 49,979 574,448 23.1 27.0 20.3 12.1 13.8 3.7 33,545 177,703 62,519New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . . . 73,188 58,528 322,561 21.2 22.1 18.2 13.5 20.5 4.5 16,525 83,602 30,065

New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . . . 56,375 45,802 392,659 28.1 25.8 17.2 11.9 13.8 3.2 30,408 176,228 63,349New York-Northern New Jersey-Long Island, NY-NJ-PA . . 73,088 60,964 6,717,007 21.9 20.1 16.7 12.4 21.2 7.6 438,613 2,324,289 769,852

Edison-New Brunswick, NJ. . . . . . . . . . . . . . . . . . . . . . 87,519 73,063 836,032 15.4 18.4 17.4 14.7 26.5 7.7 27,618 149,457 45,300Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . 96,243 84,099 916,091 12.0 15.3 16.9 15.0 31.0 9.8 24,270 144,197 41,429Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . . . 83,280 68,264 759,711 17.8 19.2 16.9 13.3 23.5 9.3 34,337 184,655 61,465New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . . . 61,174 52,633 4,205,173 26.1 21.7 16.6 11.3 17.6 6.8 352,388 1,845,980 621,658

Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . 53,041 42,188 63,400 29.8 27.5 17.8 11.4 11.5 2.0 5,292 25,717 9,929Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . . . 76,734 61,842 104,132 15.2 24.4 20.0 15.1 21.5 3.7 2,806 15,537 4,545Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,180 39,295 127,764 29.6 33.1 19.2 8.9 7.3 1.9 8,370 39,864 13,389Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,359 52,771 47,229 21.5 25.7 19.8 13.7 15.6 3.7 2,060 9,226 2,874Odessa, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,478 41,322 45,434 30.8 27.8 18.3 11.7 9.2 2.1 4,652 21,120 8,841Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,677 57,743 160,434 15.7 25.5 24.5 15.0 16.8 2.5 7,850 38,943 16,029

Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,168 43,652 459,394 27.4 28.9 18.9 10.5 11.6 2.6 31,726 169,554 60,346Olympia, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,774 55,129 91,918 20.2 24.6 20.8 14.6 17.1 2.6 4,789 24,168 7,453Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . . . 66,058 52,914 317,650 21.0 26.1 20.4 14.0 15.6 2.8 16,283 84,543 30,051Orlando-Kissimmee, FL. . . . . . . . . . . . . . . . . . . . . . . . . . 57,186 49,789 752,280 21.4 28.8 20.4 12.0 14.1 3.3 41,573 221,390 73,612Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,903 49,395 65,897 22.7 27.9 22.4 13.3 11.8 1.8 2,551 15,126 4,029Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,700 40,819 45,945 32.4 26.1 20.0 10.8 9.8 0.9 4,136 17,283 6,628

Oxnard-Thousand Oaks-Ventura, CA. . . . . . . . . . . . . . . . . 81,187 72,984 255,527 14.5 19.1 17.7 14.9 26.6 7.3 12,122 70,620 27,000Palm Bay-Melbourne-Titusville, FL . . . . . . . . . . . . . . . . . . 59,004 47,973 217,708 23.5 28.4 19.2 12.4 14.0 2.4 9,355 49,761 13,649Palm Coast, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,698 45,486 37,601 25.1 29.5 22.5 11.1 9.9 1.9 2,346 8,669 2,403Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . . 53,578 46,106 71,417 25.2 28.5 21.0 11.8 11.4 2.0 4,926 20,991 7,658Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . . . 47,276 37,685 67,453 34.0 27.6 19.5 9.6 7.6 1.8 5,898 27,338 9,327Pascagoula, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,716 44,580 55,071 27.2 28.3 20.7 11.0 11.3 1.5 5,365 23,371 8,962Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . . . 54,245 45,288 168,016 26.2 28.5 19.9 12.3 11.1 2.0 11,436 57,918 21,033

Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,330 49,795 148,604 22.9 27.3 21.0 13.1 13.4 2.3 8,023 37,219 13,998Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . 73,536 57,831 2,169,515 21.7 21.9 18.0 13.3 20.1 4.9 115,939 662,178 223,266

Camden, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,316 65,494 455,256 16.8 20.4 19.6 15.4 23.6 4.2 19,629 98,990 32,746Philadelphia, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,373 54,566 1,459,832 23.9 22.3 17.2 12.4 18.9 5.3 85,171 496,567 169,315Wilmington, DE-MD-NJ . . . . . . . . . . . . . . . . . . . . . . . . 74,467 61,031 254,427 18.0 22.7 19.6 15.0 21.0 3.8 11,139 66,621 21,205

Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . . 62,143 52,857 1,421,271 20.7 26.4 19.8 13.1 16.2 3.8 87,537 512,066 195,261

Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,207 34,348 38,057 37.4 29.1 16.6 8.7 7.2 0.9 4,132 20,248 7,927Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,095 44,814 984,179 28.2 26.4 18.9 11.4 12.6 2.6 50,204 265,392 76,128Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,294 48,836 55,127 26.3 24.4 19.6 13.3 13.7 2.7 2,672 14,332 3,349Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,600 39,755 31,690 30.0 29.6 18.2 11.3 9.3 1.5 2,823 13,443 4,690Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . . . 64,807 53,270 207,652 21.4 24.9 21.9 13.7 15.0 3.1 8,633 48,363 13,683Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . . . 66,077 53,935 817,906 21.0 25.0 20.3 13.3 16.7 3.6 42,632 250,103 78,564

Port St. Lucie, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,525 48,391 157,673 21.9 29.5 20.5 11.5 13.3 3.3 7,535 39,594 13,422Poughkeepsie-Newburgh-Middletown, NY . . . . . . . . . . . . . 77,427 66,376 225,330 16.6 19.9 19.9 15.2 24.5 4.0 10,783 60,474 23,176Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,396 43,170 84,352 26.0 31.9 19.5 10.7 10.1 1.9 4,724 25,500 7,767Providence-New Bedford-Fall River, RI-MA. . . . . . . . . . . . . 68,515 54,064 613,430 23.9 22.6 18.3 14.0 18.1 3.2 33,081 173,720 57,724Provo-Orem, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,384 53,590 128,810 18.1 27.9 23.1 14.0 14.5 2.4 8,536 58,764 15,798Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,623 39,570 58,819 32.7 27.8 18.3 10.0 9.6 1.5 6,091 27,009 9,859






Medianfamily


Medianhouse-


Totalnumber

ofhouse-

holds



Under$25,000

$25,000–$49,999

$50,000–$74,999

$75,000–$99,999

$100,000–$199,999



Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,172 44,576 70,376 23.6 32.8 20.4 11.4 9.8 2.1 3,185 13,064 3,253Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,941 53,250 75,140 20.9 26.2 22.0 14.1 14.8 2.0 3,815 20,149 6,873Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,792 57,974 374,606 19.0 24.3 18.3 13.6 20.3 4.4 16,599 97,793 33,499Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,706 44,865 47,419 24.3 32.4 20.1 11.5 9.4 2.3 2,923 15,316 5,752Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,446 52,241 149,410 22.2 25.6 22.0 13.6 14.5 2.1 8,083 43,107 15,684Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,998 43,988 68,762 27.9 27.0 20.4 10.6 11.8 2.3 5,448 25,469 8,249

Reno-Sparks, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,403 53,584 157,000 20.2 26.0 19.6 14.0 16.4 3.8 6,763 42,676 12,872Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,856 56,277 459,039 19.1 24.8 20.7 13.8 17.8 3.8 21,688 116,806 41,065Riverside-San Bernardino-Ontario, CA. . . . . . . . . . . . . . . . 61,062 54,991 1,227,896 20.6 24.9 19.6 13.6 18.2 3.2 92,536 500,543 198,161Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,517 46,103 123,888 24.3 29.6 20.0 11.8 11.8 2.4 5,938 29,759 8,636Rochester, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,049 60,342 70,452 16.8 24.1 21.5 15.2 18.1 4.4 2,235 13,029 3,956Rochester, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,048 49,508 399,531 24.5 26.0 19.6 12.9 14.7 2.4 22,929 122,854 39,996

Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,962 48,282 126,794 25.7 25.5 21.3 12.4 13.2 1.9 8,713 45,345 17,312Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,619 38,195 57,073 33.5 29.4 17.4 9.1 8.9 1.7 5,341 25,801 9,673Rome, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,630 39,987 34,506 33.7 26.7 18.8 9.4 10.0 1.4 3,602 16,787 6,595Sacramento—Arden-Arcade—Roseville, CA . . . . . . . . . . . . 68,928 58,480 756,162 19.2 23.5 19.2 14.1 20.0 4.1 39,492 231,898 77,679Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . . . 52,446 42,074 77,707 30.0 27.7 18.7 10.4 11.6 1.6 7,267 35,037 12,805St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,526 50,972 69,272 21.7 27.4 21.7 14.9 12.2 2.1 2,762 19,585 4,797

St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,840 46,993 43,121 18.8 35.5 20.3 12.7 10.6 2.1 1,954 10,443 3,856St. Joseph, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,554 40,820 46,675 30.5 28.8 20.5 10.3 8.6 1.2 3,048 14,632 4,658St. Louis, MO-IL3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,111 51,713 1,090,503 22.9 25.4 19.9 13.2 15.5 3.1 57,373 305,805 109,939Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,751 45,814 136,003 25.2 28.6 21.0 12.1 11.3 1.8 10,067 54,483 19,606Salinas, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,394 58,197 124,146 18.1 24.9 19.3 14.2 19.2 4.3 8,053 46,882 17,997Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,043 46,657 43,669 25.4 27.1 19.3 12.5 13.0 2.6 2,652 15,574 5,253

Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,851 55,064 352,665 17.9 26.6 22.0 13.8 16.5 3.2 17,482 100,620 37,058San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,646 39,047 41,514 32.0 27.5 18.9 11.2 8.8 1.6 3,613 17,933 6,374San Antonio, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,141 46,203 660,410 26.4 27.1 19.0 11.3 13.4 2.9 57,370 297,224 118,502San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . . . 71,139 60,970 1,041,790 18.5 23.0 18.4 13.4 21.2 5.6 53,840 323,757 110,307Sandusky, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,617 46,476 31,874 25.3 28.2 19.0 12.9 12.9 1.7 1,828 8,763 2,777

San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . . . 86,560 72,059 1,556,247 17.2 18.0 16.4 13.2 25.4 9.7 63,551 398,953 106,737Oakland-Fremont-Hayward, CA. . . . . . . . . . . . . . . . . . . 84,040 70,506 881,418 17.2 18.7 16.9 13.6 25.5 8.1 43,002 245,741 75,908San Francisco-San Mateo-Redwood City, CA . . . . . . . . . 90,839 74,560 674,829 17.2 17.1 15.9 12.8 25.3 11.7 20,549 153,212 30,829

San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . . . 95,980 82,664 598,755 14.4 16.1 15.2 13.2 29.4 11.8 24,860 152,767 44,315San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . . . 67,217 53,589 103,026 23.3 23.5 19.3 12.5 17.1 4.3 4,248 32,886 5,836Santa Barbara-Santa Maria-Goleta, CA . . . . . . . . . . . . . . . 66,013 57,059 140,137 19.7 24.0 19.1 12.2 18.6 6.3 7,483 53,663 15,669

Santa Cruz-Watsonville, CA. . . . . . . . . . . . . . . . . . . . . . . 80,052 63,333 93,518 17.9 21.1 18.0 13.5 21.8 7.7 3,866 27,493 7,363Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,796 51,341 52,956 23.5 25.1 18.1 11.8 16.2 5.4 2,790 19,239 5,629Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . . . . . . . . . . 75,319 62,311 177,331 18.2 21.6 19.5 14.4 20.9 5.4 6,553 43,132 12,282Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,904 46,084 123,263 26.5 26.7 19.3 11.5 13.0 3.1 8,489 44,722 16,745Scranton—Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . 53,337 40,737 227,132 31.2 27.8 19.0 11.0 9.5 1.6 13,345 66,999 21,245

Seattle-Tacoma-Bellevue, WA . . . . . . . . . . . . . . . . . . . . 75,625 61,740 1,294,535 17.6 22.8 19.2 14.4 21.0 5.0 51,351 314,403 91,352Seattle-Bellevue-Everett, WA . . . . . . . . . . . . . . . . . . . . 79,692 64,060 1,008,811 17.0 21.9 18.6 14.5 22.2 5.7 35,587 230,269 64,251Tacoma, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,399 54,440 285,724 19.7 25.8 21.4 13.8 16.7 2.5 15,764 84,134 27,101

Sebastian-Vero Beach, FL. . . . . . . . . . . . . . . . . . . . . . . . 54,232 46,397 58,175 23.4 30.3 20.2 9.4 12.1 4.6 3,509 13,813 4,056Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,925 51,464 46,278 19.0 29.8 22.7 14.4 12.3 1.9 1,567 7,516 2,700Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . . . . . . . 56,193 44,045 43,845 27.2 27.5 19.7 13.3 10.0 2.4 3,188 15,074 4,613Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . . . 49,103 38,219 148,406 33.9 26.9 16.8 10.0 10.4 2.0 15,085 77,296 31,116

Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,982 44,787 54,302 26.6 29.2 22.0 10.7 10.2 1.2 3,513 18,614 7,349Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,259 50,162 83,973 21.5 28.3 21.7 14.0 12.0 2.6 3,293 19,073 6,209South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . 57,316 44,181 121,616 25.6 29.9 19.7 11.6 10.9 2.2 6,918 38,401 13,476Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,284 40,743 104,536 30.5 28.1 18.8 10.4 10.2 2.0 8,149 36,991 13,234Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,939 44,694 178,952 27.0 28.2 20.8 11.0 10.7 2.3 9,943 60,199 17,890Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,796 49,116 86,365 24.3 26.7 20.0 12.1 14.6 2.3 5,128 25,902 8,595

Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,225 48,265 261,819 27.6 23.9 18.6 13.6 13.9 2.4 17,751 97,574 32,762Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,295 40,455 164,626 29.8 31.0 18.9 10.4 8.2 1.7 10,141 53,169 17,085Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,616 43,109 55,422 28.9 28.0 20.1 12.0 9.8 1.2 4,139 20,845 7,848State College, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,306 42,976 51,319 29.6 26.6 17.6 12.4 11.4 2.3 1,724 23,135 2,475Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,334 52,872 207,792 22.2 25.1 18.8 13.1 17.6 3.2 16,978 93,400 36,746Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,794 36,194 38,817 35.5 29.7 16.9 9.7 6.9 1.3 3,919 19,115 7,626

Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,714 47,315 253,475 26.1 26.1 20.1 11.9 13.8 2.0 15,237 84,462 28,362Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,237 44,495 138,401 28.6 25.9 18.8 11.6 12.8 2.3 8,894 60,815 13,515Tampa-St. Petersburg-Clearwater, FL . . . . . . . . . . . . . . . . 55,991 45,243 1,110,157 25.6 28.9 18.9 11.0 12.6 3.0 60,438 313,859 98,045Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,432 38,401 66,964 31.4 30.7 18.0 10.0 8.9 1.0 4,499 26,354 8,885Texarkana, TX-Texarkana, AR . . . . . . . . . . . . . . . . . . . . . 46,386 38,650 50,597 33.8 28.2 18.0 9.7 8.2 2.1 4,670 21,324 7,395Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,367 45,865 260,925 27.5 26.7 19.4 11.6 12.8 2.1 17,722 93,194 30,321

Topeka, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,257 45,781 93,869 25.2 29.1 20.2 11.5 12.1 1.8 5,773 27,901 9,465Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85,169 68,582 127,253 17.6 19.5 16.6 13.5 24.9 8.0 5,656 30,775 10,180Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,297 44,386 370,126 26.8 28.6 18.6 10.8 12.5 2.6 23,793 140,227 47,163Tulsa, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,050 43,749 350,732 27.8 28.1 18.6 11.0 12.0 2.5 27,565 129,522 50,761Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,271 37,083 80,443 37.2 24.4 16.6 10.4 9.2 2.1 7,186 42,287 12,740Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,057 42,934 69,168 29.0 27.8 17.5 11.2 11.1 3.3 5,671 30,477 11,437






Medianfamily


Medianhouse-


Totalnumber

ofhouse-

holds



Under$25,000

$25,000–$49,999

$50,000–$74,999

$75,000–$99,999

$100,000–$199,999



Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,109 42,105 117,631 28.9 29.0 19.7 10.7 10.4 1.3 8,063 39,517 13,655Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,100 38,696 48,739 31.8 30.1 18.0 9.4 9.6 1.2 5,286 24,049 8,202Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,628 65,533 135,704 16.0 21.5 19.4 16.3 22.9 3.9 7,366 39,360 14,054Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,303 43,375 42,288 27.1 30.0 19.1 10.9 10.8 2.2 3,455 16,868 6,990Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . 56,926 48,464 50,165 26.8 24.6 21.0 12.2 13.8 1.6 4,638 21,810 8,801

Virginia Beach-Norfolk-Newport News, VA-NC. . . . . . . . . . . 64,198 54,442 620,138 19.6 26.0 21.2 14.2 16.5 2.5 33,041 162,267 63,527Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,212 41,837 121,457 29.0 29.8 17.0 10.8 11.6 1.9 17,832 92,486 40,715Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,787 39,088 80,973 33.5 27.5 18.9 9.1 9.1 1.9 6,962 41,560 13,619Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,391 51,713 48,519 23.0 25.0 20.3 14.5 15.5 1.7 3,237 15,878 6,646Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . 97,095 81,163 1,949,715 11.9 17.1 17.2 14.4 29.3 10.1 60,276 366,635 111,256

Bethesda-Frederick-Gaithersburg, MD . . . . . . . . . . . . . . 102,523 86,522 422,977 9.2 16.8 17.0 14.1 30.6 12.2 8,599 52,837 13,162Washington-Arlington-Alexandria, DC-VA-MD-WV. . . . . . . 95,341 79,720 1,526,738 12.7 17.2 17.3 14.5 28.9 9.5 51,677 313,798 98,094

Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . . . 56,015 44,061 65,857 28.0 27.4 22.2 11.1 9.5 1.9 3,474 21,516 6,191Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,310 52,241 52,251 20.2 27.4 23.4 14.6 12.2 2.2 1,701 8,738 2,869Weirton-Steubenville, WV-OH. . . . . . . . . . . . . . . . . . . . . . 47,101 37,412 53,076 32.8 31.4 17.6 9.2 8.2 0.8 3,732 17,208 5,330Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,936 43,977 39,078 25.9 29.5 20.3 11.9 11.0 1.5 3,210 14,001 6,032Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,285 34,783 62,371 36.0 29.9 17.3 9.3 6.3 1.2 5,360 22,854 6,998Wichita, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,051 46,797 230,159 24.5 28.4 19.7 11.9 13.3 2.2 14,309 70,865 25,270

Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,308 41,541 56,573 28.4 31.4 18.1 10.8 9.1 2.2 4,356 20,216 7,127Williamsport, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,929 40,430 47,719 30.7 30.5 19.6 9.9 8.0 1.4 2,893 15,620 4,803Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,494 43,940 142,936 27.4 28.7 18.9 10.8 11.2 3.0 8,069 43,113 12,181Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,591 51,970 44,934 21.2 27.4 19.8 13.1 16.1 2.5 2,236 12,545 4,191Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,957 45,112 181,355 26.2 28.4 19.6 11.3 11.8 2.8 12,164 58,710 22,566Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,514 60,709 287,535 20.7 20.9 18.3 14.4 21.8 4.0 13,110 71,699 22,231

Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,817 40,321 76,698 31.5 28.0 19.9 10.2 8.7 1.7 8,622 46,695 20,339York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,291 53,641 162,264 19.5 26.2 22.7 14.7 14.9 1.9 6,187 33,667 11,141Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . . . 51,113 40,503 233,944 30.6 29.3 19.0 10.4 9.3 1.3 15,924 75,684 26,504Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,084 47,253 54,232 24.1 27.9 18.9 12.8 14.1 2.2 3,804 20,897 7,948Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,367 38,502 68,857 31.1 31.5 18.8 9.0 8.3 1.3 7,846 33,135 13,729

NA Not available.

1The poverty status was determined for all people except institutionalized people, people in military group quarters, people in college dormitories, and unrelated individuals under 15 years old.2The 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,




Survey, Census, or Data Collection Method: Educational attainment—Based on the American Community Survey; the 2005–2007 ACS 3-year estimates represent the average characteristicsover the 3-year period of time, for more information, see Appendix B, Limitations of the Data and Methodology, and also <http://www.census.gov/acs/www/AdvMeth/index.htm>.

Source: U.S. Census Bureau, American Community Survey, ‘‘DP3YR-3. Selected Economic Characteristics: 2005–2007,’’ using American FactFinder, accessed February 1, 2009 (related Internetsite <http://factfinder.census.gov>).


Table B–8. Metropolitan Areas — Physicians, Disabilities, Medicare, Social Security,and Supplemental Security Income

Metropolitan statistical areasMetropolitan statistical areawith metropolitan divisions


Physicians,12007

People with adisability,

2005–2007

Medicare programenrollment,3

2007

Social securityprogram beneficiaries,

December 2008

Supplementalsecurity income

program recipients,2008

Number

Rateper

100,000peo-ple2

Total,5 years

and over16 to 64

years Total

Rateper

100,000peo-ple2 Number

Rateper

100,000peo-ple2

Retiredworkers,number Number

Rateper

100,000peo-ple2

Abilene, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 320 201 26,461 14,975 25,004 15,710 28,585 17,919 17,630 4,042 2,534Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,014 288 97,842 56,869 109,179 15,617 121,910 17,452 77,495 13,795 1,975Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360 220 29,370 17,454 22,490 13,718 26,740 16,214 15,430 6,900 4,184Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . . . 3,100 364 119,292 67,898 136,321 16,008 158,300 18,538 104,815 18,837 2,206Albuquerque, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,294 395 115,251 68,850 112,911 13,554 133,870 15,826 82,475 19,927 2,356Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 453 297 28,600 17,026 25,618 16,782 29,235 19,095 14,415 7,534 4,921

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . . . 2,220 277 108,069 56,863 136,532 17,013 159,010 19,674 106,500 16,013 1,981Altoona, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341 272 22,630 13,202 26,263 20,953 27,520 21,985 16,860 4,865 3,887Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 703 290 31,299 18,089 32,006 13,219 35,740 14,657 22,245 4,050 1,661Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191 224 6,836 3,793 9,447 11,074 10,680 12,311 7,695 611 704Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,149 319 49,049 34,181 29,305 8,138 36,365 9,971 22,105 6,484 1,778Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 194 148 22,343 12,504 23,427 17,862 28,615 21,760 18,220 2,835 2,156

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387 215 34,100 21,237 33,107 18,396 39,125 21,400 24,000 3,787 2,071Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,880 1,115 35,915 23,845 36,828 10,584 44,290 12,750 29,105 4,336 1,248Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226 200 26,180 15,841 22,432 19,877 26,235 23,131 13,955 4,506 3,973Appleton, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 442 203 21,459 11,821 27,812 12,767 34,665 15,777 23,280 2,192 998Asheville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,646 408 68,768 37,788 83,429 20,675 96,925 23,731 64,475 9,124 2,234Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . 469 252 25,656 16,229 21,198 11,377 25,950 13,711 16,250 3,969 2,097

Atlanta-Sandy Springs-Marietta, GA . . . . . . . . . . . . . . . . . 13,631 259 529,678 332,102 477,759 9,081 591,600 11,004 374,800 83,419 1,552Atlantic City-Hammonton, NJ . . . . . . . . . . . . . . . . . . . . . . 689 255 39,746 22,646 41,789 15,479 48,800 18,029 32,995 5,754 2,126Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208 159 17,075 10,809 14,216 10,892 17,990 13,525 10,125 2,952 2,219Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . . . 2,192 415 86,784 53,010 76,576 14,494 94,130 17,620 56,655 14,717 2,755Austin-Round Rock, TX. . . . . . . . . . . . . . . . . . . . . . . . . . 3,889 244 155,802 97,483 134,221 8,428 165,360 10,006 103,960 20,993 1,270Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,222 155 109,689 69,212 86,118 10,940 102,445 12,798 58,125 33,499 4,185

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . . . 13,605 511 348,707 199,492 362,945 13,625 407,665 15,285 267,135 58,337 2,187Bangor, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 556 374 27,467 17,351 27,676 18,634 31,930 21,480 17,415 4,909 3,302Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 851 383 29,910 12,758 58,483 26,345 63,700 28,817 46,980 3,385 1,531Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,881 244 108,832 67,178 96,848 12,588 115,535 14,921 59,785 24,301 3,138Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259 190 22,619 13,789 24,331 17,847 28,700 21,125 17,415 4,269 3,142Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156 145 17,638 9,701 20,250 18,861 24,730 23,006 14,720 2,648 2,463

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . . . 678 180 66,104 37,653 59,792 15,883 70,220 18,564 38,050 11,647 3,079Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 579 301 28,587 17,607 27,678 14,389 32,855 16,718 21,770 3,558 1,810Bend, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 541 352 16,657 9,046 23,129 15,038 28,790 18,169 20,525 1,581 998Billings, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 584 391 22,986 13,425 23,563 15,764 27,325 17,976 18,160 2,257 1,485Binghamton, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 692 281 41,816 23,955 47,505 19,323 55,315 22,560 35,535 7,642 3,117Birmingham-Hoover, AL . . . . . . . . . . . . . . . . . . . . . . . . . 4,645 419 181,482 109,143 175,255 15,808 210,535 18,838 113,845 34,809 3,115

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362 351 12,704 6,386 15,907 15,425 18,090 17,238 11,855 1,217 1,160Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . . . 306 194 24,813 15,503 22,894 14,549 27,290 17,236 16,135 2,831 1,788Bloomington, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387 212 26,641 16,296 24,538 13,437 29,025 15,779 18,825 2,529 1,375Bloomington-Normal, IL. . . . . . . . . . . . . . . . . . . . . . . . . . 368 225 15,784 8,932 18,573 11,346 21,525 13,022 14,390 1,562 945Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,372 234 66,693 39,328 68,472 11,673 84,000 14,006 55,085 9,079 1,514

Boston-Cambridge-Quincy, MA-NH . . . . . . . . . . . . . . . . 26,566 591 527,729 294,880 643,093 14,315 698,800 15,450 458,265 106,550 2,356Boston-Quincy, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,810 791 233,774 133,165 260,606 13,916 281,390 14,931 179,585 55,188 2,928Cambridge-Newton-Framingham, MA. . . . . . . . . . . . . . . 8,860 603 150,654 81,187 209,655 14,264 221,440 14,937 151,105 25,896 1,747Peabody, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,977 270 93,340 51,460 115,636 15,785 126,690 17,203 81,995 21,906 2,975Rockingham County-Strafford County, NH. . . . . . . . . . . . 919 220 49,961 29,068 57,196 13,708 69,280 16,524 45,580 3,560 849

Boulder, CO4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,154 400 22,292 14,317 31,061 10,755 32,540 11,100 22,480 2,128 726

Bowling Green, KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 289 250 15,815 9,755 16,477 14,241 20,080 17,025 11,645 3,871 3,282Bradenton-Sarasota-Venice, FL . . . . . . . . . . . . . . . . . . . . 2,495 364 110,129 45,764 164,999 24,087 183,920 26,739 138,490 7,790 1,133Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . . . 671 282 39,176 24,922 33,781 14,184 39,265 16,376 25,910 4,343 1,811Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . . . 3,847 432 86,031 43,908 125,915 14,138 137,320 15,343 98,945 10,919 1,220Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . . . 569 148 48,773 25,174 42,701 11,094 50,755 12,923 28,455 19,785 5,038Brunswick, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 274 270 16,963 9,426 17,017 16,766 20,755 20,180 12,530 2,652 2,579

Buffalo-Niagara Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . 4,197 373 170,477 99,576 209,515 18,599 241,140 21,448 148,825 33,111 2,945Burlington, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254 175 22,696 12,559 24,283 16,771 29,075 19,638 19,620 2,675 1,807Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . . . 1,400 676 28,283 18,031 26,884 12,974 32,140 15,418 20,490 3,846 1,845Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . 963 236 63,005 36,032 72,349 17,750 81,505 19,994 51,955 8,162 2,002Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . . . . . . . 1,569 267 77,262 32,828 116,246 19,765 133,995 22,591 99,570 8,217 1,385Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153 280 9,469 5,481 9,803 17,914 10,725 19,547 7,695 707 1,289

Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205 286 10,087 6,210 10,309 14,361 12,015 16,430 7,845 1,037 1,418Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 467 185 34,050 18,978 37,638 14,908 43,800 17,146 30,295 3,335 1,306Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . . . 713 319 21,972 12,256 26,723 11,952 29,500 13,158 19,295 2,930 1,307Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,012 333 65,590 41,147 61,473 20,244 72,330 23,797 36,480 12,652 4,163Charleston-North Charleston-Summerville, SC . . . . . . . . . . 3,014 478 85,921 53,744 80,392 12,752 98,405 15,268 59,665 12,488 1,938Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . . . 4,202 255 183,662 112,133 187,789 11,406 231,175 13,584 149,690 26,290 1,545

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,132 1,110 21,881 11,925 27,445 14,283 31,565 16,238 21,970 2,462 1,267Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,532 298 92,129 54,802 84,742 16,480 100,985 19,479 62,210 12,297 2,372Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260 301 12,907 8,114 12,472 14,422 14,170 16,187 9,265 1,212 1,384Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . . . 33,158 349 1,035,894 581,247 1,148,068 12,089 1,284,835 13,426 841,650 199,249 2,082

Chicago-Naperville-Joliet, IL . . . . . . . . . . . . . . . . . . . . . 28,992 366 856,277 479,126 949,237 11,970 1,050,025 13,141 693,005 175,583 2,197Gary, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,372 197 97,709 55,807 104,242 14,940 124,205 17,681 74,405 14,072 2,003Lake County-Kenosha County, IL-WI . . . . . . . . . . . . . . . 2,794 321 81,908 46,314 94,589 10,881 110,605 12,613 74,240 9,594 1,094



Table B–8. Metropolitan Areas — Physicians, Disabilities, Medicare, Social Security,and Supplemental Security Income—Con.



Physicians,12007


2005–2007


2007


December 2008



Number

Rateper

100,000peo-ple2

Total,5 years

and over16 to 64

years Total

Rateper


Rateper

100,000peo-ple2


Rateper

100,000peo-ple2

Chico, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 533 244 44,211 27,575 39,073 17,908 44,880 20,369 27,515 11,379 5,164Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . . . 7,026 328 300,989 181,264 295,280 13,774 336,875 15,631 206,030 42,137 1,955Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 372 142 37,110 23,050 29,953 11,439 37,320 14,287 21,140 6,008 2,300Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171 154 20,998 13,179 19,454 17,540 24,550 21,892 14,475 2,922 2,606Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . . . 9,980 476 306,386 170,774 344,495 16,445 376,845 18,046 245,505 53,808 2,577Coeur d’Alene, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358 267 17,838 10,314 21,568 16,070 26,780 19,480 17,390 2,150 1,564

College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . . . 459 226 21,802 11,685 19,998 9,842 23,700 11,426 14,740 3,823 1,843Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,469 242 69,591 44,007 66,450 10,932 79,800 12,919 50,420 6,791 1,099Columbia, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,288 795 20,096 12,200 18,834 11,632 22,270 13,556 13,865 2,469 1,503Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,210 309 93,764 55,988 93,954 13,128 115,355 15,844 73,085 14,111 1,938Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 726 253 50,519 31,046 40,344 14,063 48,170 16,746 27,905 8,935 3,106Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 194 260 10,875 6,566 11,832 15,865 14,370 19,068 9,175 1,096 1,454

Columbus, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,635 321 219,686 136,771 211,499 12,065 241,250 13,606 148,420 35,003 1,974Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,058 256 76,718 45,211 58,588 14,184 69,620 16,761 38,830 14,868 3,579Corvallis, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301 371 9,401 5,285 10,324 12,722 12,185 14,885 8,605 858 1,048Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . 246 248 18,515 11,030 20,715 20,861 22,645 22,866 13,625 2,934 2,963Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . 14,179 230 646,155 399,614 564,560 9,175 677,835 10,759 421,205 98,004 1,556

Dallas-Plano-Irving, TX . . . . . . . . . . . . . . . . . . . . . . . . 10,729 260 414,345 257,575 361,857 8,764 434,245 10,276 271,200 66,761 1,580Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . . . . . 3,450 170 231,810 142,039 202,703 10,012 243,590 11,745 150,005 31,243 1,506

Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211 158 21,472 13,746 17,531 13,165 21,530 16,051 12,885 2,880 2,147Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148 182 14,259 7,742 15,882 19,567 18,100 22,434 10,890 2,640 3,272Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167 158 21,672 12,141 23,075 21,780 27,655 26,143 17,000 4,324 4,088Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . . . 773 206 51,255 28,307 62,698 16,691 71,825 19,020 48,195 6,948 1,840Dayton, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,577 307 124,751 73,063 137,980 16,449 153,415 18,339 97,105 17,601 2,104Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235 158 28,537 16,273 25,757 17,287 31,760 21,156 17,895 4,527 3,015

Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288 265 16,160 8,448 20,725 19,073 23,145 21,366 14,590 3,102 2,864Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . . . 1,112 223 83,725 43,070 107,837 21,579 122,275 24,551 84,380 9,501 1,908Denver-Aurora, CO4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,440 344 251,669 155,609 254,226 10,362 290,410 11,586 194,785 29,463 1,175Des Moines-West Des Moines, IA. . . . . . . . . . . . . . . . . . . 1,169 214 61,556 36,210 68,708 12,592 80,185 14,416 54,870 7,299 1,312Detroit-Warren-Livonia, MI. . . . . . . . . . . . . . . . . . . . . . . 13,963 313 663,523 397,444 639,587 14,348 754,500 17,050 465,585 109,720 2,479

Detroit-Livonia-Dearborn, MI . . . . . . . . . . . . . . . . . . . . . 5,412 273 349,488 220,073 282,649 14,263 330,385 16,943 186,215 74,953 3,844Warren-Troy-Farmington Hills, MI . . . . . . . . . . . . . . . . . 8,551 345 314,035 177,371 356,938 14,417 424,115 17,135 279,370 34,767 1,405

Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379 272 27,333 15,529 26,457 18,988 32,230 22,864 18,480 5,525 3,920Dover, DE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254 167 21,300 12,559 22,858 15,067 28,540 18,364 18,010 3,220 2,072Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257 278 11,854 6,275 15,680 16,989 18,070 19,488 12,315 1,450 1,564Duluth, MN-WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 864 316 42,048 23,964 51,191 18,699 57,730 21,026 35,685 6,706 2,442Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,300 1,109 60,498 36,758 58,625 12,265 69,925 14,277 46,135 8,352 1,705Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 551 350 19,516 11,420 24,191 15,355 28,465 17,932 18,565 2,860 1,802

El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148 92 20,484 10,457 20,934 13,016 24,825 15,140 14,090 10,738 6,549Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228 204 17,402 10,250 15,866 14,218 20,445 18,211 10,945 3,408 3,036Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301 152 23,173 13,065 25,145 12,723 29,560 14,844 20,060 2,571 1,291Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258 293 14,951 8,756 17,200 19,565 20,220 23,026 12,300 3,276 3,731El Paso, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,454 199 97,573 54,951 88,795 12,164 101,390 13,663 55,080 27,456 3,700Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 602 216 45,452 26,418 47,321 16,943 55,350 19,826 34,195 10,012 3,586

Eugene-Springfield, OR . . . . . . . . . . . . . . . . . . . . . . . . . 1,026 299 55,715 35,081 56,459 16,471 66,240 19,114 43,890 6,884 1,986Evansville, IN-KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 943 270 54,575 31,918 59,201 16,928 69,850 19,942 42,500 7,899 2,255Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201 205 10,934 7,528 6,426 6,558 7,965 8,130 5,075 1,006 1,027Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 690 360 19,822 11,326 23,013 11,990 26,550 13,568 17,070 2,241 1,145Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190 155 13,787 7,542 14,430 11,805 17,555 14,331 9,720 3,928 3,207Fayetteville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 793 226 55,607 36,251 39,986 11,389 49,950 14,027 26,645 10,069 2,828

Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . . . 806 185 61,566 36,097 56,445 12,987 69,220 15,591 42,530 6,974 1,571Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358 281 16,422 11,290 12,723 9,991 15,310 11,909 9,205 2,937 2,285Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,030 237 70,867 42,609 69,413 15,993 85,725 19,992 49,460 13,869 3,234Florence, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 504 254 34,026 21,730 32,584 16,412 39,735 19,884 22,685 8,086 4,046Florence-Muscle Shoals, AL. . . . . . . . . . . . . . . . . . . . . . . 287 201 29,224 16,628 29,569 20,677 35,595 24,755 19,510 4,906 3,412Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197 199 11,330 6,193 15,969 16,123 18,480 18,582 12,800 1,188 1,195

Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . . . 771 269 29,785 18,664 34,182 11,921 40,225 13,737 27,975 2,215 756Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 502 174 60,739 37,535 49,914 17,276 62,250 21,393 32,800 10,160 3,492Fort Walton Beach-Crestview-Destin, FL . . . . . . . . . . . . . . 554 306 26,091 14,802 27,040 14,932 31,645 17,611 20,450 2,464 1,371Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,069 261 48,506 28,973 56,341 13,769 67,740 16,476 44,550 6,623 1,611Fresno, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,009 225 125,045 75,440 100,481 11,230 112,625 12,388 69,120 42,156 4,637Gadsden, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216 210 22,475 13,412 21,197 20,564 25,980 25,149 13,230 4,463 4,320

Gainesville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,223 867 34,383 21,461 31,501 12,285 37,070 14,337 23,625 5,244 2,028Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410 230 17,608 9,278 20,741 11,612 25,890 14,009 17,385 2,327 1,259Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 299 233 19,520 11,182 23,488 18,283 28,110 21,829 17,895 3,112 2,417Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210 185 20,925 12,950 18,818 16,595 22,560 19,847 12,825 4,495 3,954Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 290 300 11,488 6,455 13,330 13,773 15,020 15,440 9,775 1,184 1,217Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . 424 305 22,198 12,647 23,614 17,003 25,945 18,122 17,470 2,081 1,454

Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . . . 2,017 260 98,037 58,659 101,907 13,150 122,750 15,801 77,755 16,116 2,075Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245 300 14,713 8,569 13,981 17,095 16,180 19,725 10,560 1,643 2,003Greeley, CO4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379 156 23,551 14,878 23,305 9,604 28,575 11,440 18,170 2,763 1,106Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 688 229 36,512 21,240 41,362 13,739 49,730 16,416 32,260 4,477 1,478Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . . . 1,609 231 97,808 58,696 105,384 15,147 126,205 17,884 83,375 14,332 2,031Greenville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,036 599 24,583 15,137 21,912 12,678 27,170 15,371 15,510 6,068 3,433






Physicians,12007


2005–2007


2007


December 2008



Number

Rateper

100,000peo-ple2

Total,5 years

and over16 to 64

years Total

Rateper


Rateper

100,000peo-ple2


Rateper

100,000peo-ple2

Greenville-Mauldin-Easley, SC . . . . . . . . . . . . . . . . . . . . . 1,684 275 91,585 53,419 94,462 15,421 116,785 18,694 73,140 11,836 1,895Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 543 234 42,757 27,608 34,613 14,942 42,040 17,918 23,700 6,434 2,742Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . . . 497 191 38,744 22,925 39,318 15,091 46,830 17,755 29,425 4,730 1,793Hanford-Corcoran, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 147 99 15,853 10,690 12,691 8,562 15,200 10,166 8,560 4,929 3,297Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . . . 2,152 408 69,256 38,017 85,640 16,223 97,785 18,412 67,170 8,943 1,684Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 277 236 12,193 6,945 16,495 14,047 19,205 16,219 13,140 1,457 1,230

Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . . . 4,687 395 140,851 78,076 186,690 15,735 208,695 17,530 146,270 20,720 1,740Hattiesburg, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 461 333 26,401 16,416 19,509 14,089 23,715 16,845 12,770 4,253 3,021Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . . . 732 204 60,078 36,300 61,493 17,102 75,065 20,677 49,370 6,641 1,829Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . . . 56 78 8,380 5,742 5,050 7,041 6,570 9,393 3,545 1,321 1,889Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . . . 387 150 26,453 14,841 32,531 12,586 39,705 15,250 27,360 2,326 893Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,719 413 103,223 50,699 135,607 15,059 147,915 16,344 109,185 16,653 1,840

Hot Springs, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303 315 21,155 11,804 23,259 24,166 26,820 27,518 17,645 3,087 3,167Houma-Bayou Cane-Thibodaux, LA . . . . . . . . . . . . . . . . . 378 188 38,098 24,547 29,574 14,712 35,865 17,830 15,710 7,649 3,803Houston-Sugar Land-Baytown, TX . . . . . . . . . . . . . . . . . . 16,606 297 596,179 363,017 505,288 9,026 605,665 10,573 358,285 114,098 1,992Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . . . 1,034 364 69,095 42,254 58,749 20,690 65,055 22,888 31,975 14,539 5,115Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 968 251 54,721 33,527 54,537 14,117 64,045 16,187 39,535 8,356 2,112Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221 186 15,235 9,356 14,874 12,485 18,215 14,810 11,490 1,939 1,576

Indianapolis-Carmel, IN. . . . . . . . . . . . . . . . . . . . . . . . . . 6,809 402 211,902 125,680 208,035 12,290 251,045 14,634 161,305 26,162 1,525Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,915 1,305 13,575 8,143 15,724 10,719 18,245 12,209 12,640 1,578 1,056Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 302 301 11,310 6,836 11,937 11,889 13,840 13,685 9,350 1,713 1,694Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217 133 25,476 15,295 25,846 15,885 31,235 19,500 19,800 3,719 2,322Jackson, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,300 431 82,176 49,541 72,655 13,611 87,540 16,293 50,280 17,657 3,286Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 455 405 16,159 9,569 17,690 15,740 21,000 18,636 12,620 3,256 2,889

Jacksonville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,218 325 176,162 108,127 171,964 13,250 205,335 15,636 129,025 25,592 1,949Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244 149 22,583 14,617 15,183 9,296 18,955 11,423 11,000 2,612 1,574Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347 218 22,199 12,911 24,432 15,328 29,470 18,394 19,425 3,190 1,991Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213 147 22,471 13,534 21,320 14,686 25,890 17,689 16,165 2,270 1,551Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,001 518 43,307 26,833 37,347 19,321 44,710 22,829 25,445 5,729 2,925Johnstown, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 435 300 26,922 13,823 32,246 22,239 36,105 25,017 21,155 4,892 3,390

Jonesboro, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317 274 21,739 12,331 18,562 16,064 23,515 20,036 12,510 4,890 4,167Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 312 182 30,867 18,956 28,332 16,564 33,930 19,620 20,045 4,042 2,337Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . . 1,118 347 41,932 23,914 47,554 14,753 57,350 17,716 36,590 7,200 2,224Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . 189 169 16,187 9,974 17,627 15,804 20,340 18,076 12,050 2,625 2,333Kansas City, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,872 296 246,943 145,785 264,425 13,345 307,200 15,344 200,580 28,571 1,427Kennewick-Pasco-Richland, WA . . . . . . . . . . . . . . . . . . . . 432 190 31,122 19,309 26,747 11,736 32,985 13,986 21,045 4,291 1,819

Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . . 1,209 326 44,566 25,870 37,827 10,203 46,915 12,381 26,180 7,159 1,889Kingsport-Bristol-Bristol, TN-VA . . . . . . . . . . . . . . . . . . . . 868 286 69,870 42,483 67,314 22,193 81,885 26,875 44,910 10,582 3,473Kingston, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 396 218 27,124 16,654 29,840 16,432 35,445 19,511 22,425 4,309 2,372Knoxville, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,490 366 114,413 67,205 112,663 16,552 133,405 19,302 82,825 15,317 2,216Kokomo, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173 174 14,586 8,048 17,824 17,882 22,270 22,426 14,850 2,033 2,047La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 638 487 15,905 8,839 20,062 15,311 23,135 17,544 15,855 2,270 1,721

Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441 231 21,541 12,636 22,299 11,690 26,840 13,916 17,490 1,961 1,017Lafayette, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 814 318 35,832 22,517 32,665 12,746 39,080 15,085 19,975 7,325 2,827Lake Charles, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 420 219 37,263 22,007 28,778 14,998 34,400 17,837 17,435 5,518 2,861Lake Havasu City-Kingman, AZ . . . . . . . . . . . . . . . . . . . . 257 131 36,136 19,069 43,888 22,406 52,865 26,933 36,885 3,643 1,856Lakeland-Winter Haven, FL . . . . . . . . . . . . . . . . . . . . . . . 1,032 180 87,638 45,991 105,284 18,375 125,600 21,633 83,150 15,930 2,744Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,019 205 56,300 30,573 80,077 16,081 92,925 18,497 64,630 8,462 1,684Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . . . 1,125 247 57,202 33,974 59,204 13,010 72,680 16,008 46,715 8,273 1,822

Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244 105 31,035 16,990 21,047 9,092 25,585 10,798 13,590 10,538 4,448Las Cruces, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 346 175 22,973 12,956 25,678 12,966 30,550 15,154 19,065 6,582 3,265Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . . . 3,836 210 191,830 114,462 210,013 11,491 248,165 13,301 168,530 27,617 1,480Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244 215 11,737 6,853 10,519 9,276 12,525 10,915 8,285 1,076 938Lawton, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245 215 16,539 9,515 14,372 12,615 17,250 15,433 9,735 2,792 2,498Lebanon, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 330 258 17,573 9,148 23,632 18,483 27,765 21,534 19,775 2,020 1,567

Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148 247 12,247 6,791 12,604 21,040 14,685 24,315 9,170 1,623 2,687Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . 299 280 20,994 12,567 19,337 18,123 22,575 21,122 13,310 3,512 3,286Lexington-Fayette, KY . . . . . . . . . . . . . . . . . . . . . . . . . . 2,469 553 62,397 38,937 57,763 12,948 68,255 15,053 41,105 10,799 2,382Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 294 280 15,189 8,695 18,093 17,210 20,285 19,288 12,705 2,590 2,463Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 791 272 31,782 19,924 35,643 12,238 40,330 13,649 27,400 3,817 1,292Little Rock-North Little Rock-Conway, AR . . . . . . . . . . . . . . 3,045 457 107,425 65,931 97,865 14,702 119,960 17,770 68,895 19,666 2,913

Logan, UT-ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183 151 11,020 6,601 10,306 8,507 12,400 9,914 8,310 762 609Longview, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373 184 35,965 19,538 33,791 16,629 39,615 19,348 22,955 6,094 2,976Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228 228 22,809 14,395 17,761 17,723 21,870 21,599 13,230 2,910 2,874Los Angeles-Long Beach-Santa Ana, CA . . . . . . . . . . . . 41,883 328 1,374,934 764,459 1,423,036 11,131 1,435,515 11,152 958,960 482,486 3,748

Los Angeles-Long Beach-Glendale, CA . . . . . . . . . . . . . 31,516 321 1,112,923 627,137 1,083,274 11,045 1,084,210 10,994 712,685 412,521 4,183Santa Ana-Anaheim-Irvine, CA . . . . . . . . . . . . . . . . . . . 10,367 348 262,011 137,322 339,762 11,414 351,305 11,668 246,275 69,965 2,324

Louisville/Jefferson County, KY-IN . . . . . . . . . . . . . . . . . . . 4,370 355 196,066 119,111 188,867 15,326 222,885 17,907 131,515 32,979 2,650Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,088 406 38,250 22,261 34,255 12,778 40,180 14,848 24,185 5,915 2,186Lynchburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 532 218 36,569 20,697 44,683 18,339 53,115 21,608 33,565 5,720 2,327Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 879 382 41,753 25,308 36,751 15,990 43,065 18,661 24,160 8,532 3,697Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164 113 19,566 11,973 18,414 12,642 21,295 14,356 13,635 4,969 3,350Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,006 542 58,214 35,348 65,444 11,807 77,575 13,816 53,935 7,162 1,276






Physicians,12007


2005–2007


2007


December 2008



Number

Rateper

100,000peo-ple2

Total,5 years

and over16 to 64

years Total

Rateper


Rateper

100,000peo-ple2


Rateper

100,000peo-ple2

Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . . . 1,033 258 49,505 29,721 52,544 13,101 63,155 15,709 40,540 5,291 1,316Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235 187 18,628 10,138 22,841 18,147 26,145 20,916 16,600 2,870 2,296McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . . . 865 123 98,964 54,110 66,908 9,484 82,075 11,296 44,805 36,348 5,002Medford, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 657 330 34,240 18,976 37,129 18,658 43,900 21,826 30,255 3,396 1,688Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,918 306 185,846 114,128 158,837 12,418 191,510 14,895 109,980 41,943 3,262Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265 109 31,630 18,836 25,441 10,417 30,555 12,415 17,700 11,115 4,516

Miami-Fort Lauderdale-Pompano Beach, FL . . . . . . . . . . 19,353 359 707,042 344,840 834,882 15,483 885,205 16,348 625,560 182,716 3,374Fort Lauderdale-Pompano Beach-Deerfield Beach, FL . . . 4,980 285 219,230 112,186 241,142 13,789 264,840 15,123 183,140 34,018 1,943Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . . . . 9,732 408 316,538 156,031 344,480 14,456 348,075 14,514 238,920 131,678 5,491West Palm Beach-Boca Raton-Boynton Beach, FL . . . . . . 4,641 368 171,274 76,623 249,260 19,776 272,290 21,520 203,500 17,020 1,345

Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . . . . 181 164 15,267 9,058 17,699 16,050 21,180 19,100 13,440 1,883 1,698Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257 204 17,283 9,866 15,909 12,600 18,145 14,012 11,115 2,223 1,717

Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . . . 6,161 399 189,845 109,561 219,409 14,216 252,155 16,275 167,245 39,007 2,518Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . . . 10,414 326 318,889 193,237 366,375 11,458 421,280 13,043 288,110 49,505 1,533Missoula, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 420 398 12,361 7,598 13,366 12,653 15,635 14,569 9,985 1,747 1,628Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,228 304 74,072 46,201 63,844 15,799 78,355 19,285 40,920 13,872 3,414Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 964 189 77,851 47,797 62,231 12,224 71,465 13,994 42,255 21,186 4,148Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 458 266 27,026 15,209 26,048 15,124 29,835 17,271 16,750 6,804 3,939

Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 96 22,130 13,264 22,520 14,687 27,690 18,104 16,720 2,254 1,474Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 780 213 59,411 36,877 53,893 14,726 65,290 17,843 36,530 13,976 3,819Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 951 809 17,481 10,534 16,361 13,919 19,190 16,193 10,955 2,944 2,484Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201 150 25,571 15,612 25,483 18,982 31,245 22,989 17,865 4,103 3,019Mount Vernon-Anacortes, WA . . . . . . . . . . . . . . . . . . . . . 337 291 16,590 9,239 19,587 16,900 23,035 19,521 16,040 2,026 1,717Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347 301 19,742 12,118 19,469 16,905 23,400 20,404 14,605 2,525 2,202

Muskegon-Norton Shores, MI. . . . . . . . . . . . . . . . . . . . . . 299 172 29,404 17,879 29,512 16,950 36,010 20,655 20,480 5,591 3,207Myrtle Beach-North Myrtle Beach-Conway, SC . . . . . . . . . . 466 187 36,684 20,137 45,541 18,237 57,855 22,478 39,345 4,632 1,800Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 573 435 15,106 8,270 22,372 16,977 23,350 17,499 15,750 2,429 1,820Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . . . 1,308 417 36,395 15,092 61,413 19,580 69,315 21,987 53,165 2,495 791Nashville-Davidson—Murfreesboro—Franklin, TN . . . . . . . . 5,892 388 197,645 122,082 184,753 12,154 223,015 14,381 140,285 25,530 1,646New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . . . 4,839 573 108,108 58,684 133,893 15,857 148,895 17,598 100,935 17,075 2,018

New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . . . 5,277 476 174,005 101,737 151,272 13,635 180,650 15,930 99,120 36,697 3,236New York-Northern New Jersey-Long Island, NY-NJ-PA . . 88,290 467 2,158,330 1,145,104 2,591,002 13,693 2,778,435 14,618 1,884,915 586,176 3,084

Edison-New Brunswick, NJ. . . . . . . . . . . . . . . . . . . . . . 8,269 358 249,470 122,692 361,596 15,647 406,820 17,496 289,310 26,514 1,140Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . 14,170 495 294,813 153,548 435,463 15,201 494,570 17,269 332,380 38,913 1,359Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . . . 8,279 391 221,554 119,754 283,568 13,383 315,880 14,892 217,770 41,990 1,980New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . . . 57,572 495 1,392,493 749,110 1,510,375 12,989 1,561,165 13,347 1,045,455 478,759 4,093

Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . 339 213 23,493 12,868 29,126 18,278 34,075 21,366 21,865 4,784 3,000Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . . . 740 281 35,293 20,002 41,340 15,673 47,770 18,059 32,180 3,357 1,269Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 609 188 60,004 29,002 84,481 26,067 97,760 29,658 70,115 7,111 2,157Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153 159 12,548 6,480 22,379 23,232 25,505 26,613 18,130 1,570 1,638Odessa, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265 205 18,983 11,083 16,349 12,633 18,745 14,207 9,985 3,656 2,771Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . 899 174 56,106 34,823 50,573 9,772 57,420 10,804 37,420 4,966 934

Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,563 300 180,899 112,519 158,117 13,297 186,725 15,481 117,340 24,204 2,007Olympia, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 726 305 34,958 21,275 34,843 14,630 42,430 17,306 27,565 4,346 1,773Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . . . 3,234 391 96,614 58,606 105,706 12,772 120,770 14,413 78,995 11,786 1,407Orlando-Kissimmee, FL. . . . . . . . . . . . . . . . . . . . . . . . . . 4,814 237 253,290 138,833 266,378 13,131 317,685 15,462 207,355 43,897 2,137Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . 472 293 18,226 9,829 24,253 15,035 28,045 17,300 18,900 2,126 1,311Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218 195 19,869 11,591 20,318 18,144 24,845 22,033 14,105 4,062 3,602

Oxnard-Thousand Oaks-Ventura, CA. . . . . . . . . . . . . . . . . 2,092 264 90,840 53,176 98,210 12,393 109,450 13,720 73,870 16,685 2,092Palm Bay-Melbourne-Titusville, FL . . . . . . . . . . . . . . . . . . 1,393 260 87,337 43,902 111,130 20,772 127,120 23,693 87,790 9,015 1,680Palm Coast, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155 176 11,993 5,620 21,922 24,861 26,600 29,152 19,390 1,282 1,405Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . . 389 238 28,841 17,199 26,854 16,419 31,660 19,311 19,405 3,854 2,351Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . . . 314 195 34,713 20,951 32,084 19,968 38,220 23,787 21,155 5,746 3,576Pascagoula, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327 215 26,023 15,266 23,291 15,309 29,495 19,265 16,265 3,488 2,278Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . . . 1,310 290 78,238 46,893 71,148 15,762 84,775 18,714 51,670 10,828 2,390

Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,183 319 46,143 23,112 61,845 16,679 70,570 18,946 46,825 6,774 1,819Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . 24,764 425 775,781 447,144 870,784 14,953 982,930 16,835 637,880 161,625 2,768

Camden, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,496 280 156,448 90,664 178,714 14,308 208,445 16,668 134,815 22,946 1,835Philadelphia, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,247 496 529,201 304,225 595,823 15,346 660,845 16,979 431,080 127,047 3,264Wilmington, DE-MD-NJ . . . . . . . . . . . . . . . . . . . . . . . . 2,021 292 90,132 52,255 96,247 13,915 113,640 16,334 71,985 11,632 1,672

Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . . 10,072 242 463,549 266,035 482,428 11,580 569,935 13,310 381,065 55,565 1,298

Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193 190 19,989 11,879 16,923 16,655 19,605 19,479 10,090 4,741 4,711Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,762 415 372,679 201,000 463,932 19,707 520,160 22,123 323,195 65,808 2,799Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 597 459 21,791 12,984 27,463 21,120 30,975 23,938 19,860 4,045 3,126Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205 234 13,272 8,568 11,227 12,820 12,930 14,611 7,710 1,697 1,918Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . . . 2,022 395 74,758 43,222 84,556 16,503 97,910 19,046 63,095 8,680 1,689Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . . . 7,984 369 278,398 172,601 260,870 12,041 304,570 13,797 205,565 34,914 1,582

Port St. Lucie, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 895 224 60,051 27,429 84,792 21,258 97,970 24,264 70,265 6,838 1,694Poughkeepsie-Newburgh-Middletown, NY . . . . . . . . . . . . . 1,771 265 85,584 52,180 89,861 13,440 107,505 15,985 66,885 11,628 1,729Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 517 244 35,597 17,395 49,465 23,313 58,940 27,350 42,270 3,180 1,476Providence-New Bedford-Fall River, RI-MA. . . . . . . . . . . . . 5,397 338 241,461 142,238 266,150 16,652 300,665 18,831 194,425 50,437 3,159Provo-Orem, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 706 135 41,567 25,272 34,504 6,599 42,875 7,928 26,175 3,734 690Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 437 283 27,973 16,702 27,917 18,048 30,430 19,415 17,115 5,370 3,426






Physicians,12007


2005–2007


2007


December 2008



Number

Rateper

100,000peo-ple2

Total,5 years

and over16 to 64

years Total

Rateper


Rateper

100,000peo-ple2


Rateper

100,000peo-ple2

Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 432 283 29,778 12,214 45,446 29,805 52,280 34,839 39,610 1,968 1,311Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 353 177 23,543 13,477 29,403 14,774 35,425 17,756 22,770 4,088 2,049Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,545 244 106,797 67,105 102,577 9,826 128,445 11,797 81,785 15,000 1,378Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411 342 16,852 10,301 18,697 15,544 22,535 18,393 14,665 2,044 1,668Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 825 205 53,915 29,626 65,468 16,307 76,040 18,841 52,105 8,955 2,219Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 509 284 37,126 22,663 36,112 20,167 42,380 23,516 24,790 9,869 5,476

Reno-Sparks, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,322 323 45,749 26,442 52,580 12,859 62,115 14,975 42,875 5,261 1,268Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,442 367 153,832 90,687 164,747 13,603 196,940 16,069 126,070 24,417 1,992Riverside-San Bernardino-Ontario, CA. . . . . . . . . . . . . . . . 6,962 171 470,710 276,385 440,587 10,834 509,925 12,389 322,215 123,228 2,994Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,223 413 45,623 26,451 57,143 19,282 64,260 21,556 40,115 6,705 2,249Rochester, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,374 1,871 16,372 8,605 24,842 13,778 28,580 15,624 20,485 2,208 1,207Rochester, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,325 419 138,229 81,914 168,569 16,326 201,560 19,492 132,215 28,253 2,732

Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 903 257 46,876 26,415 51,914 14,779 61,885 17,462 39,900 6,932 1,956Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215 148 26,000 16,379 24,875 17,116 30,155 20,604 17,315 6,089 4,160Rome, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373 391 16,949 9,491 16,446 17,246 19,290 20,098 11,665 2,787 2,904Sacramento—Arden-Arcade—Roseville, CA . . . . . . . . . . . . 6,605 317 286,563 172,095 270,353 12,984 299,450 14,193 189,740 75,861 3,596Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . . . 586 290 34,850 21,307 35,785 17,692 43,460 21,649 25,360 7,475 3,724St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 500 269 20,338 12,403 24,361 13,130 28,850 15,432 18,540 2,307 1,234

St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263 197 16,074 7,161 20,746 15,546 24,710 17,959 17,980 923 671St. Joseph, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202 161 20,090 11,284 20,756 16,495 23,400 18,519 14,725 2,629 2,081St. Louis, MO-IL5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,750 348 387,268 224,635 419,844 14,965 484,710 17,208 305,520 54,863 1,948Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 773 201 58,892 33,208 56,569 14,689 65,850 16,812 44,600 7,369 1,881Salinas, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,017 251 44,454 25,640 45,595 11,268 51,155 12,531 33,020 9,530 2,334Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357 299 15,371 8,789 17,820 14,929 21,300 17,726 14,120 2,605 2,168

Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,943 360 117,742 73,081 100,230 9,150 117,925 10,570 76,185 11,482 1,029San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 252 233 15,874 8,454 17,151 15,829 19,845 18,113 12,325 2,688 2,453San Antonio, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,660 336 276,681 161,150 248,042 12,496 297,935 14,666 172,080 56,186 2,766San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . . . 11,025 372 316,175 173,112 363,941 12,296 391,975 13,061 261,545 83,868 2,795Sandusky, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148 192 11,580 6,386 14,263 18,484 16,310 21,165 10,595 1,351 1,753

San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . . . 20,061 476 487,474 270,379 554,707 13,157 566,310 13,248 384,980 142,704 3,338Oakland-Fremont-Hayward, CA. . . . . . . . . . . . . . . . . . . 8,304 336 290,299 170,747 300,125 12,159 318,320 12,712 208,720 78,073 3,118San Francisco-San Mateo-Redwood City, CA . . . . . . . . . 11,757 673 197,175 99,632 254,582 14,566 247,990 14,007 176,260 64,631 3,651

San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . . . 7,406 415 166,118 91,733 197,430 11,052 198,645 10,919 136,800 48,711 2,678San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . . . 899 343 33,013 18,446 42,240 16,137 47,530 17,916 32,745 5,375 2,026Santa Barbara-Santa Maria-Goleta, CA . . . . . . . . . . . . . . . 1,400 348 48,045 25,801 58,139 14,459 63,025 15,547 41,780 10,085 2,488

Santa Cruz-Watsonville, CA. . . . . . . . . . . . . . . . . . . . . . . 810 323 26,892 15,908 29,885 11,923 34,480 13,621 22,615 6,004 2,372Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 604 424 21,226 13,235 19,971 14,028 24,640 17,119 16,530 2,436 1,692Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . . . . . . . . . . 1,540 333 56,139 31,620 68,042 14,718 76,620 16,416 51,750 9,978 2,138Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,131 343 42,948 24,639 42,571 12,927 50,540 15,116 31,245 7,078 2,117Scranton—Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . 1,382 252 96,833 51,066 116,436 21,207 132,640 24,154 84,620 16,313 2,971

Seattle-Tacoma-Bellevue, WA . . . . . . . . . . . . . . . . . . . . 12,852 390 428,583 266,998 387,300 11,743 435,155 13,010 290,440 58,335 1,744Seattle-Bellevue-Everett, WA . . . . . . . . . . . . . . . . . . . . 10,807 428 311,929 192,245 290,478 11,504 321,365 12,557 220,060 41,939 1,639Tacoma, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,045 265 116,654 74,753 96,822 12,524 113,790 14,484 70,380 16,396 2,087

Sebastian-Vero Beach, FL. . . . . . . . . . . . . . . . . . . . . . . . 447 340 18,852 7,995 33,699 25,637 38,480 29,082 28,325 1,638 1,238Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214 187 13,204 7,186 18,095 15,844 21,260 18,558 15,000 1,470 1,283Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . . . . . . . 244 207 17,635 9,139 20,408 17,285 23,960 20,168 15,080 2,555 2,151Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . . . 1,836 474 64,166 38,015 59,127 15,259 67,645 17,366 38,950 15,621 4,010

Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 192 20,607 12,769 21,389 15,027 24,265 16,950 15,655 2,354 1,644Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 879 387 22,430 13,050 28,839 12,705 33,980 14,588 23,365 2,420 1,039South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . 791 250 45,371 25,880 48,842 15,445 56,970 17,979 38,115 5,843 1,844Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 675 245 46,362 28,542 45,839 16,651 55,970 19,937 32,870 6,432 2,291Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,500 329 74,809 47,077 68,630 15,050 78,530 16,973 49,425 11,536 2,493Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,112 539 29,644 16,965 32,959 15,977 39,035 18,822 25,085 4,792 2,311

Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,235 325 107,279 63,941 113,447 16,515 129,565 18,844 76,940 32,045 4,661Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,054 251 63,863 36,440 67,755 16,147 80,230 18,827 48,885 8,553 2,007Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 248 177 26,559 16,048 25,132 17,914 28,070 20,070 17,380 3,432 2,454State College, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 334 232 15,222 9,093 17,808 12,387 20,695 14,294 14,215 1,649 1,139Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,136 170 88,879 55,271 77,152 11,552 87,900 13,073 52,020 28,947 4,305Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169 162 17,278 10,267 15,963 15,348 19,595 18,815 11,475 3,927 3,771

Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,566 398 95,782 58,230 105,688 16,412 125,175 19,443 78,545 17,994 2,795Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 889 252 42,016 26,288 39,855 11,277 47,720 13,357 31,205 8,277 2,317Tampa-St. Petersburg-Clearwater, FL . . . . . . . . . . . . . . . . 8,341 307 423,590 222,525 490,263 18,056 555,870 20,334 372,110 61,475 2,249Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 370 218 27,855 16,446 28,963 17,026 34,260 20,125 20,545 4,088 2,401Texarkana, TX-Texarkana, AR . . . . . . . . . . . . . . . . . . . . . 338 252 28,946 18,140 21,871 16,294 25,795 19,036 14,300 5,339 3,940Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,230 343 99,474 58,467 99,508 15,291 111,250 17,139 68,195 17,272 2,661

Topeka, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 576 252 37,423 21,973 39,353 17,238 43,835 19,090 28,120 4,781 2,082Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,572 432 39,477 22,236 53,116 14,602 59,430 16,287 38,985 7,775 2,131Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,730 374 140,796 77,321 148,957 14,947 171,115 16,908 113,400 17,766 1,756Tulsa, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,012 222 146,534 90,434 132,539 14,656 160,025 17,468 98,505 18,704 2,042Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 539 264 34,547 21,535 31,697 15,500 39,160 18,939 19,785 8,499 4,110Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 794 401 30,972 17,271 32,108 16,220 37,440 18,601 23,410 4,770 2,370






Physicians,12007


2005–2007


2007


December 2008



Number

Rateper

100,000peo-ple2

Total,5 years

and over16 to 64

years Total

Rateper


Rateper

100,000peo-ple2


Rateper

100,000peo-ple2

Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 659 224 52,458 30,187 57,669 19,611 66,500 22,635 40,900 9,930 3,380Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239 184 19,367 12,231 16,708 12,856 20,445 15,332 11,795 4,145 3,108Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 937 230 51,665 30,022 47,673 11,712 55,220 13,550 34,040 11,935 2,929Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233 205 20,731 11,097 17,294 15,234 20,735 18,139 12,045 3,063 2,679Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . 220 142 24,793 14,699 23,230 14,948 27,315 17,417 16,820 4,977 3,173

Virginia Beach-Norfolk-Newport News, VA-NC. . . . . . . . . . . 5,212 314 198,462 112,269 208,862 12,584 243,605 14,690 154,215 31,094 1,875Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . 535 128 53,212 31,912 46,271 11,039 54,635 12,817 32,435 19,358 4,541Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 529 232 34,551 19,947 32,551 14,289 37,830 16,433 22,415 6,296 2,735Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204 156 18,195 11,076 15,912 12,149 19,000 14,268 11,205 2,836 2,130Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . 24,027 453 482,742 277,779 528,708 9,971 559,853 10,449 386,412 73,934 1,380

Bethesda-Frederick-Gaithersburg, MD . . . . . . . . . . . . . . 9,146 785 107,808 56,223 135,868 11,656 137,475 11,686 99,430 14,063 1,195Washington-Arlington-Alexandria, DC-VA-MD-WV. . . . . . . 14,881 360 374,934 221,556 392,840 9,497 422,378 10,101 286,982 59,871 1,432

Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . . . 360 221 21,468 11,864 27,572 16,908 31,475 19,166 20,875 3,201 1,949Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 391 301 14,734 8,226 19,887 15,323 23,295 17,788 15,785 1,943 1,484Weirton-Steubenville, WV-OH. . . . . . . . . . . . . . . . . . . . . . 180 147 24,534 14,149 27,481 22,424 30,865 25,288 17,245 3,802 3,115Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 289 271 15,109 8,218 17,151 16,070 20,195 18,666 14,295 1,764 1,630Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 392 269 26,972 14,884 30,760 21,103 34,385 23,739 20,535 4,588 3,167Wichita, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,596 268 78,079 44,891 82,578 13,871 96,095 15,917 62,135 10,253 1,698

Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 365 247 24,185 13,875 23,088 15,608 26,600 18,055 15,925 3,740 2,539Williamsport, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268 229 21,796 11,897 22,245 19,040 25,540 21,891 16,760 3,400 2,914Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,004 296 53,652 31,020 58,292 17,206 72,370 20,855 48,550 6,770 1,951Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 382 316 16,215 8,702 18,003 14,890 21,470 17,545 14,230 1,983 1,621Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,284 495 62,022 36,426 71,796 15,553 85,355 18,233 56,980 8,482 1,812Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,927 374 102,638 60,393 116,170 14,853 131,170 16,735 82,140 20,721 2,644

Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 466 201 32,607 19,054 31,169 13,434 36,570 15,591 23,695 6,446 2,748York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 850 202 54,900 30,304 65,439 15,566 78,440 18,475 53,245 7,004 1,650Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . . . 1,313 230 92,181 50,792 115,386 20,225 130,365 23,035 79,450 17,127 3,026Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268 164 26,770 17,069 21,479 13,153 25,095 15,184 14,350 7,913 4,788Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244 129 26,526 11,423 23,638 12,467 28,685 14,762 19,025 3,688 1,898

1Active, nonfederal physicians as of December 31.2Based on resident population estimated as of July 1 of the year shown.3Unduplicated count of persons enrolled in either hospital and/or supplemental medical insurance as of July 1.4The 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,



Note: Covers metropolitan statistical areas and metropolitan divisions as defined by the Office of Management and Budget as of November 2007. For more information, see OMB Bulletin 08-01at <http://www.whitehouse.gov/omb/assets/omb/bulletins/fy2008/b08-01.pdf>. While the 2007 American Community Survey (ACS) data generally reflect the December 2006 Office of Management andBudget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMBdefinitions due to differences in the effective dates of the geographic entities.

Survey, Census, or Data Collection Method: For information about these data collections and surveys, see the following organizations and their Web sites: American Medical Association,Physician Characteristics and Distribution in the U.S. <http://www.ama-assn.org/>; Based on the American Community Survey; the 2005–2007 ACS 3-year estimates represent the average character-istics over the 3-year period of time, for more information, see Appendix B, Limitations of the Data and Methodology, and also <http://www.census.gov/acs/www/AdvMeth/index.htm>. CMS Statistics,Medicare Enrollment, <http://www.cms.hhs.gov/MedicareEnrpts/>; Social Security, OASDI Beneficiaries by State and County, <http://www.ssa.gov/policy/docs/statcomps/oasdisc/2008/index.html>; SSIRecipients by State and County, updated annually, <http://www.ssa.gov/policy/docs/statcomps/ssisc/2008/index.html>.

Sources: Physicians—American Medical Association, Chicago, IL, Physician Characteristics and Distribution in the U.S., 2009 annual (copyright); Persons with a disability—U.S. CensusBureau, American Community Survey, ‘‘DP3YR-2. Selected Social Characteristics in the United States: 2005–2007’’ using American FactFinder, accessed February 1, 2009 (related Internet site<http://factfinder.census.gov>); Medicare program enrollment—Centers for Medicare and Medicaid Services, CMS Statistics: Medicare Enrollment, accessed December 10, 2008 (related Internet site<http://www.cms.hhs.gov/MedicareEnrpts/>); Social security—U.S. Social Security Administration, Office of Research and Statistics, OASDI Beneficiaries by State and County, accessed August 12,2009 (related Internet site <http://www.ssa.gov/policy/docs/statcomps/oasdisc/2008/index.html>); Supplemental security income—U.S. Social Security Administration, Office of Research, Evaluation,and Statistics, SSI Recipients by State and County, accessed May 22, 2009 (related Internet site <http://www.ssa.gov/policy/docs/statcomps/ssisc/2008/index.html>).


Table B–9. Metropolitan Areas — Housing Units and Building Permits



Housing unitsNew private housing units

authorized bybuilding permits3

2008(July 1)

2005(July 1)

20001

(est-matesbase)

Change,2000–2008

Unitsper

squaremile

ofland

area,22008

Cum-ulative2000–2008

period 2008 2007 2006Number Percentage

Abilene, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,845 67,026 65,216 2,629 4.0 24.7 2,871 196 293 365Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308,958 304,569 290,977 17,981 6.2 341.3 22,896 1,039 1,594 2,209Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,601 68,027 63,768 5,833 9.1 36.0 (X) 294 590 727Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . . . 381,372 375,301 363,741 17,631 4.8 135.4 25,868 1,892 2,703 2,450Albuquerque, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363,986 340,621 305,839 58,147 19.0 39.2 (X) 2,555 4,499 6,822Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,984 63,467 60,569 5,415 8.9 33.5 5,304 382 572 951

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . . . 335,159 325,861 307,275 27,884 9.1 229.7 34,924 1,694 2,789 4,144Altoona, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,243 56,101 55,061 1,182 2.1 107.0 2,522 195 294 193Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,371 96,119 91,594 7,777 8.5 27.1 8,994 768 1,315 1,181Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,466 33,254 30,630 3,836 12.5 60.2 5,649 327 360 484Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140,705 136,940 127,698 13,007 10.2 5.3 15,158 460 970 1,588Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,472 58,839 56,939 2,533 4.4 131.5 3,541 95 243 328

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83,276 79,350 73,213 10,063 13.7 116.0 11,818 652 1,226 1,596Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147,526 144,790 130,975 16,551 12.6 207.8 15,016 347 565 775Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,550 52,887 51,321 2,229 4.3 88.0 2,425 197 472 277Appleton, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90,515 87,598 78,371 12,144 15.5 94.3 13,415 694 800 965Asheville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202,488 192,372 175,331 27,157 15.5 99.6 31,884 2,572 3,648 4,310Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . 81,504 77,228 67,540 13,964 20.7 79.0 (X) 591 1,691 1,891

Atlanta-Sandy Springs-Marietta, GA . . . . . . . . . . . . . . . . . 2,154,126 1,980,541 1,644,590 509,536 31.0 257.2 546,397 19,294 44,770 68,266Atlantic City-Hammonton, NJ . . . . . . . . . . . . . . . . . . . . . . 127,265 123,025 114,090 13,175 11.5 226.8 15,515 794 1,136 1,893Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,420 57,196 50,343 12,077 24.0 102.5 12,290 1,297 1,503 2,204Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . . . 228,900 219,908 204,587 24,313 11.9 69.8 28,765 1,905 3,349 3,619Austin-Round Rock, TX. . . . . . . . . . . . . . . . . . . . . . . . . . 657,357 590,767 496,000 161,357 32.5 155.6 171,153 11,792 19,903 26,096Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 272,521 254,222 231,567 40,954 17.7 33.5 46,323 2,593 4,202 6,991

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . . . 1,110,202 1,090,838 1,048,048 62,154 5.9 425.5 86,329 5,544 6,207 8,133Bangor, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,989 69,329 66,848 4,141 6.2 20.9 5,418 388 498 709Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 156,118 153,799 147,084 9,034 6.1 394.7 11,248 559 818 886Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327,013 304,803 282,485 44,528 15.8 81.1 47,483 3,755 6,367 9,061Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,739 60,430 58,691 2,048 3.5 85.7 3,022 45 240 210Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,189 47,897 46,423 1,766 3.8 108.5 2,660 105 199 213

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . . . 163,137 162,163 156,697 6,440 4.1 75.7 13,050 2,248 2,288 1,993Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,579 82,935 73,898 13,681 18.5 41.3 15,353 669 1,232 1,482Bend, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,883 68,628 54,583 23,300 42.7 25.8 24,281 755 1,785 3,284Billings, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,962 63,383 60,056 4,906 8.2 13.9 6,242 571 663 725Binghamton, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110,535 110,584 110,228 307 0.3 90.2 2,798 286 306 303Birmingham-Hoover, AL . . . . . . . . . . . . . . . . . . . . . . . . . 503,266 485,006 454,339 48,927 10.8 95.0 54,459 3,359 5,433 7,807

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,610 43,235 39,595 6,015 15.2 12.8 7,433 811 947 993Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . . . 68,490 66,406 62,755 5,735 9.1 63.7 7,312 1,044 852 977Bloomington, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83,710 81,687 75,753 7,957 10.5 63.4 8,079 576 875 737Bloomington-Normal, IL. . . . . . . . . . . . . . . . . . . . . . . . . . 68,410 66,521 59,972 8,438 14.1 57.8 9,760 463 653 794Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . 240,696 217,620 181,171 59,525 32.9 20.4 64,112 2,797 4,864 8,352

Boston-Cambridge-Quincy, MA-NH . . . . . . . . . . . . . . . . 1,831,295 1,802,107 1,751,593 79,702 4.6 522.2 113,624 7,634 11,248 13,916Boston-Quincy, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 758,648 747,927 729,198 29,450 4.0 678.0 45,372 3,480 4,378 6,781Cambridge-Newton-Framingham, MA. . . . . . . . . . . . . . . 598,974 588,604 576,686 22,288 3.9 727.4 31,951 2,005 4,275 3,358Peabody, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 298,865 295,069 287,145 11,720 4.1 596.9 17,300 1,044 1,119 2,193Rockingham County-Strafford County, NH. . . . . . . . . . . . 174,808 170,507 158,564 16,244 10.2 164.3 19,001 1,105 1,476 1,584

Boulder, CO4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,087 121,490 111,431 12,656 11.4 167.1 (X) 1,022 635 746

Bowling Green, KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,226 49,298 44,455 7,771 17.5 61.6 (X) 559 827 921Bradenton-Sarasota-Venice, FL . . . . . . . . . . . . . . . . . . . . 391,552 369,883 320,602 70,950 22.1 298.3 76,934 2,072 2,681 7,671Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . . . 102,031 98,430 92,643 9,388 10.1 257.7 11,304 783 1,370 1,236Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . . . 351,996 346,942 339,466 12,530 3.7 562.5 19,998 1,814 2,290 1,939Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . . . 145,625 137,237 119,654 25,971 21.7 160.8 27,651 1,306 2,091 3,402Brunswick, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,167 49,299 44,861 7,306 16.3 40.1 8,200 502 835 1,226

Buffalo-Niagara Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . 521,404 519,375 511,582 9,822 1.9 332.7 21,446 1,544 1,932 2,023Burlington, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,182 61,042 55,463 9,719 17.5 151.6 11,508 760 1,441 1,988Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . . . 89,229 87,478 82,722 6,507 7.9 70.9 8,090 508 717 744Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . 177,868 176,021 170,053 7,815 4.6 183.2 10,476 436 728 1,010Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . . . . . . . 364,932 313,974 245,405 119,527 48.7 454.1 122,878 1,602 5,905 18,746Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,904 22,609 21,283 1,621 7.6 159.8 1,875 16 51 187

Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,767 30,666 29,882 1,885 6.3 5.9 2,608 419 429 423Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111,831 108,458 99,055 12,776 12.9 55.7 14,225 976 1,187 1,200Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . . . 98,788 93,863 88,139 10,649 12.1 51.4 12,856 951 1,613 1,828Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145,571 144,574 141,665 3,906 2.8 57.5 5,168 641 550 705Charleston-North Charleston-Summerville, SC . . . . . . . . . . 288,331 264,103 232,957 55,374 23.8 111.3 63,595 5,172 6,780 9,073Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . . . 730,315 658,101 546,474 183,841 33.6 235.7 183,514 12,236 21,190 25,161

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,889 83,264 73,869 14,020 19.0 53.3 15,912 913 1,317 1,789Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . . . 231,019 221,948 205,327 25,692 12.5 110.6 26,655 1,544 2,687 3,455Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,040 36,663 34,213 3,827 11.2 14.2 4,596 202 316 509Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . . . 3,777,452 3,667,923 3,462,316 315,136 9.1 523.8 385,175 16,058 33,933 46,722

Chicago-Naperville-Joliet, IL . . . . . . . . . . . . . . . . . . . . . 3,158,950 3,068,422 2,906,746 252,204 8.7 684.5 313,137 13,538 28,078 39,819Gary, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296,309 287,181 269,569 26,740 9.9 157.9 32,126 1,521 3,113 3,490Lake County-Kenosha County, IL-WI . . . . . . . . . . . . . . . 322,193 312,320 286,001 36,192 12.7 447.2 39,912 999 2,742 3,413



Table B–9. Metropolitan Areas — Housing Units and Building Permits—Con.





2008(July 1)

2005(July 1)

20001

(est-matesbase)

Change,2000–2008

Unitsper

squaremile

ofland

area,22008



Chico, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,492 92,184 85,523 9,969 11.7 58.2 11,723 592 985 1,282Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . . . 915,004 891,797 833,076 81,928 9.8 208.0 (X) 4,000 6,884 9,447Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110,910 102,964 92,049 18,861 20.5 51.3 19,612 1,402 2,222 3,215Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,822 47,616 44,186 5,636 12.8 65.2 6,055 446 819 841Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . . . 945,998 937,040 911,332 34,666 3.8 472.0 53,355 2,685 4,075 5,194Coeur d’Alene, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,162 54,650 46,607 13,555 29.1 48.3 14,856 774 1,661 1,599

College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . . . 88,615 83,593 75,094 13,521 18.0 42.1 15,051 2,158 1,927 1,585Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . 258,326 245,145 212,792 45,534 21.4 96.3 50,115 2,076 3,229 4,595Columbia, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,678 69,747 61,024 13,654 22.4 64.9 14,689 546 1,166 1,936Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316,597 296,929 269,238 47,359 17.6 85.5 55,285 4,348 6,865 8,117Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129,250 124,266 115,733 13,517 11.7 66.7 (X) 1,100 1,808 2,227Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,548 30,950 29,853 1,695 5.7 77.5 2,149 192 257 281

Columbus, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 777,631 755,730 680,463 97,168 14.3 195.2 108,902 4,449 6,402 7,876Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177,655 170,629 160,754 16,901 10.5 99.8 19,510 1,603 2,017 3,300Corvallis, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,484 34,411 31,977 3,507 11.0 52.5 3,405 108 213 355Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,343 45,902 45,078 1,265 2.8 61.5 2,091 152 246 234Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . 2,403,158 2,252,625 1,997,946 405,212 20.3 267.3 449,282 36,321 43,568 56,514

Dallas-Plano-Irving, TX . . . . . . . . . . . . . . . . . . . . . . . . 1,604,217 1,505,585 1,332,519 271,698 20.4 287.0 304,293 26,007 29,602 37,238Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . . . . . 798,941 747,040 665,427 133,514 20.1 234.9 144,989 10,314 13,966 19,276

Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,689 49,531 45,062 6,627 14.7 81.5 7,314 302 670 933Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,689 36,822 36,350 339 0.9 40.8 523 12 47 35Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,138 52,616 51,119 2,019 3.9 52.4 2,682 152 288 300Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . . . 165,631 162,733 158,527 7,104 4.5 73.0 10,306 487 1,190 1,155Dayton, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 382,108 377,477 364,408 17,700 4.9 223.7 24,087 1,241 1,577 2,131Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,816 64,948 62,398 3,418 5.5 51.6 3,322 195 467 336

Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,099 51,619 50,241 1,858 3.7 89.7 3,178 453 146 411Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . . . 248,253 236,901 211,938 36,315 17.1 225.0 40,145 1,366 2,185 3,815Denver-Aurora, CO4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,055,347 1,008,292 891,040 164,307 18.4 126.3 (X) 8,814 14,217 18,070Des Moines-West Des Moines, IA. . . . . . . . . . . . . . . . . . . 234,893 221,454 199,393 35,500 17.8 81.6 41,211 2,913 3,850 5,120Detroit-Warren-Livonia, MI. . . . . . . . . . . . . . . . . . . . . . . 1,899,751 1,879,882 1,797,185 102,566 5.7 485.4 129,848 2,590 4,325 8,920

Detroit-Livonia-Dearborn, MI . . . . . . . . . . . . . . . . . . . . . 837,845 836,111 826,144 11,701 1.4 1,364.2 34,138 895 1,095 2,434Warren-Troy-Farmington Hills, MI . . . . . . . . . . . . . . . . . 1,061,906 1,043,771 971,041 90,865 9.4 321.8 95,710 1,695 3,230 6,486

Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,259 62,872 59,724 4,535 7.6 37.4 4,786 363 351 702Dover, DE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,889 58,162 50,484 12,405 24.6 106.6 14,030 988 1,484 1,703Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,864 37,813 35,509 3,355 9.4 63.9 4,244 214 367 411Duluth, MN-WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137,720 135,184 129,876 7,844 6.0 16.4 10,754 785 1,001 1,192Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216,241 205,359 180,020 36,221 20.1 122.5 39,601 2,498 3,254 4,373Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,948 65,926 60,295 7,653 12.7 41.2 9,108 480 651 782

El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,459 49,491 43,891 10,568 24.1 13.0 11,704 511 969 2,203Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,126 47,914 43,534 7,592 17.4 57.4 8,365 616 1,043 1,146Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,808 75,807 69,791 8,017 11.5 167.8 9,411 489 681 923Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,001 38,026 37,745 256 0.7 93.1 1,091 63 92 91El Paso, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257,073 244,180 224,447 32,626 14.5 253.7 37,469 3,981 4,379 4,140Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118,410 117,142 114,323 4,087 3.6 147.7 6,381 418 810 700

Eugene-Springfield, OR . . . . . . . . . . . . . . . . . . . . . . . . . 150,535 145,930 138,955 11,580 8.3 33.1 13,949 771 1,490 1,708Evansville, IN-KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160,526 156,629 147,764 12,762 8.6 70.1 14,889 871 1,350 1,536Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,999 36,948 33,291 4,708 14.1 5.2 1,786 60 113 360Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,120 83,243 73,536 15,584 21.2 31.7 17,835 1,306 1,803 1,927Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,805 45,032 43,221 2,584 6.0 8.3 2,909 316 371 443Fayetteville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153,302 143,449 130,945 22,357 17.1 146.9 25,460 2,306 2,664 4,115

Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . . . 186,658 169,508 144,431 42,227 29.2 58.8 43,355 2,766 3,373 6,093Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,534 58,102 53,442 7,092 13.3 3.3 7,444 283 477 1,080Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197,203 195,545 183,635 13,568 7.4 308.3 16,347 219 476 980Florence, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85,025 83,013 80,778 4,247 5.3 62.5 5,835 573 1,049 902Florence-Muscle Shoals, AL. . . . . . . . . . . . . . . . . . . . . . . 68,510 67,642 65,403 3,107 4.8 54.2 3,140 345 448 375Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,613 41,525 39,271 3,342 8.5 58.9 4,140 310 273 442

Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . . . 128,522 122,542 105,392 23,130 21.9 49.4 24,212 1,265 1,341 2,240Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,265 120,863 115,384 8,881 7.7 31.1 7,939 757 1,105 808Fort Walton Beach-Crestview-Destin, FL . . . . . . . . . . . . . . 93,441 87,673 78,592 14,849 18.9 99.9 16,700 1,093 773 1,790Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178,518 174,540 162,420 16,098 9.9 131.0 19,172 1,016 1,115 1,588Fresno, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308,485 292,731 270,767 37,718 13.9 51.7 43,764 2,560 4,855 5,278Gadsden, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,370 47,597 45,959 2,411 5.2 90.4 2,792 199 262 391

Gainesville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,065 110,922 101,020 15,045 14.9 94.9 17,172 1,054 1,475 2,041Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,220 59,150 51,057 13,163 25.8 163.1 15,450 738 1,327 1,854Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,249 64,406 61,645 4,604 7.5 38.9 6,063 357 497 709Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,928 49,883 47,313 3,615 7.6 92.2 4,500 390 469 522Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,294 43,056 41,381 2,913 7.0 13.0 3,903 374 404 486Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,862 55,942 48,718 11,144 22.9 18.0 12,308 784 1,366 1,574

Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . . . 319,422 313,416 293,089 26,333 9.0 113.0 31,341 1,064 1,866 2,913Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,350 35,689 35,225 1,125 3.2 13.5 1,968 205 316 320Greeley, CO4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93,978 86,747 66,166 27,812 42.0 23.5 (X) 980 1,847 2,922Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136,665 131,485 118,239 18,426 15.6 73.1 21,337 884 1,893 2,105Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . . . 316,445 301,169 275,032 41,413 15.1 158.0 48,771 3,296 4,966 6,417Greenville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81,799 75,138 65,732 16,067 24.4 89.2 18,205 1,274 2,548 2,320








2008(July 1)

2005(July 1)

20001

(est-matesbase)

Change,2000–2008

Unitsper

squaremile

ofland

area,22008



Greenville-Mauldin-Easley, SC . . . . . . . . . . . . . . . . . . . . . 272,926 259,847 239,036 33,890 14.2 136.3 41,526 3,175 5,411 5,526Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105,906 117,271 106,053 −147 −0.1 70.5 25,201 4,167 5,492 3,985Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . . . 114,395 106,512 93,961 20,434 21.7 113.5 22,923 1,172 1,805 2,787Hanford-Corcoran, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 42,228 40,021 36,563 5,665 15.5 30.4 6,512 373 497 849Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . . . 232,180 226,897 217,029 15,151 7.0 142.5 20,489 1,864 2,229 2,030Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,041 44,949 41,011 7,030 17.1 55.3 8,188 943 1,306 908

Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . . . 493,682 486,252 471,878 21,804 4.6 325.9 30,970 1,691 2,795 3,638Hattiesburg, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,229 52,949 50,454 5,775 11.4 34.9 4,361 748 1,131 457Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . . . 158,446 155,122 144,868 13,578 9.4 96.7 15,774 926 1,668 1,553Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . . . 28,990 27,970 26,209 2,781 10.6 31.5 (X) 222 475 271Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . . . 101,167 97,636 86,856 14,311 16.5 178.9 16,093 671 1,048 1,365Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337,187 329,300 315,988 21,199 6.7 562.2 25,150 1,438 2,944 2,606

Hot Springs, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,068 46,269 44,953 2,115 4.7 69.5 1,056 54 96 135Houma-Bayou Cane-Thibodaux, LA . . . . . . . . . . . . . . . . . 82,492 79,258 74,973 7,519 10.0 35.3 7,836 865 722 1,153Houston-Sugar Land-Baytown, TX . . . . . . . . . . . . . . . . . . 2,231,151 2,028,171 1,799,631 431,520 24.0 249.9 473,179 42,728 63,274 71,719Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . . . 132,455 131,481 129,865 2,590 2.0 75.7 3,276 343 372 633Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171,077 159,606 147,309 23,768 16.1 124.6 26,122 3,164 4,463 4,470Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,405 41,851 36,771 9,634 26.2 15.7 10,729 518 1,488 1,524

Indianapolis-Carmel, IN. . . . . . . . . . . . . . . . . . . . . . . . . . 753,461 723,036 644,873 108,588 16.8 195.0 122,004 6,982 8,298 11,341Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,738 60,897 54,374 9,364 17.2 53.9 10,730 834 819 1,090Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,762 40,165 38,626 2,136 5.5 85.6 2,982 231 273 307Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,056 66,883 62,906 5,150 8.2 96.3 6,371 230 330 587Jackson, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223,068 212,970 196,548 26,520 13.5 59.9 28,934 2,125 3,045 3,722Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,959 48,148 44,378 5,581 12.6 59.1 6,045 397 543 740

Jacksonville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 594,512 545,819 475,043 119,469 25.1 184.6 132,886 6,963 10,928 16,967Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,040 62,190 55,726 11,314 20.3 87.4 12,767 1,236 1,636 2,045Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,809 66,631 62,187 6,622 10.6 95.5 7,226 255 477 758Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,589 60,618 56,729 4,860 8.6 27.3 (X) 231 251 503Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,492 86,325 81,912 7,580 9.3 104.9 8,404 1,053 966 1,440Johnstown, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,263 66,215 65,796 467 0.7 96.3 2,111 264 174 232

Jonesboro, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,082 49,082 46,184 4,898 10.6 34.8 5,138 591 611 680Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,433 71,302 67,469 4,964 7.4 57.2 4,673 267 397 528Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . . 145,178 142,307 133,225 11,953 9.0 123.8 14,272 627 1,000 1,439Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,437 42,928 40,610 3,827 9.4 65.7 4,691 194 408 630Kansas City, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . 867,900 836,691 767,761 100,139 13.0 110.5 113,981 5,300 8,129 13,205Kennewick-Pasco-Richland, WA . . . . . . . . . . . . . . . . . . . . 86,950 81,844 72,048 14,902 20.7 29.5 17,201 1,101 1,603 1,724

Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . . 148,301 136,632 122,158 26,143 21.4 52.5 27,930 2,403 3,209 4,573Kingsport-Bristol-Bristol, TN-VA . . . . . . . . . . . . . . . . . . . . 146,296 142,923 136,278 10,018 7.4 72.7 10,806 699 1,255 1,407Kingston, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81,842 80,509 77,656 4,186 5.4 72.7 6,263 518 596 602Knoxville, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313,284 298,214 276,143 37,141 13.4 168.7 41,115 2,856 4,849 6,453Kokomo, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,596 46,293 44,452 2,144 4.8 84.2 2,810 57 103 194La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,350 54,738 51,647 4,703 9.1 55.7 5,677 382 627 616

Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,934 78,587 70,836 10,098 14.3 63.3 11,468 660 919 918Lafayette, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112,399 106,085 98,300 14,099 14.3 111.3 14,651 1,092 1,747 2,490Lake Charles, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,863 87,580 81,330 6,533 8.0 36.9 9,614 963 1,209 630Lake Havasu City-Kingman, AZ . . . . . . . . . . . . . . . . . . . . 102,045 94,765 80,060 21,985 27.5 7.7 22,954 556 1,223 2,692Lakeland-Winter Haven, FL . . . . . . . . . . . . . . . . . . . . . . . 280,609 256,750 226,365 54,244 24.0 149.7 61,277 3,249 4,222 9,323Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195,084 190,744 179,990 15,094 8.4 205.6 19,338 1,484 1,731 1,887Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . . . 196,708 194,051 181,843 14,865 8.2 115.2 17,056 383 768 1,231

Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,702 64,892 55,205 15,497 28.1 21.1 16,530 1,087 1,581 2,395Las Cruces, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,871 73,022 65,210 12,661 19.4 20.5 13,936 985 1,424 2,385Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . . . 810,602 718,184 559,609 250,993 44.9 102.5 267,805 12,537 24,089 33,728Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,849 45,348 40,250 6,599 16.4 102.5 7,169 744 456 545Lawton, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,044 46,094 45,417 2,627 5.8 44.9 3,117 254 876 582Lebanon, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,745 52,301 49,319 4,426 9.0 148.5 5,786 396 497 564

Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,422 25,955 25,314 1,108 4.4 17.8 1,623 129 172 210Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,355 47,632 45,960 2,395 5.2 102.8 3,366 219 252 320Lexington-Fayette, KY . . . . . . . . . . . . . . . . . . . . . . . . . . 204,860 194,743 175,262 29,598 16.9 138.5 34,110 2,819 2,569 3,677Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,367 45,118 44,245 1,122 2.5 112.2 2,095 110 178 193Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,336 120,629 110,645 13,691 12.4 88.0 16,143 823 1,349 1,424Little Rock-North Little Rock-Conway, AR . . . . . . . . . . . . . . 297,696 283,635 261,917 35,779 13.7 72.8 36,186 2,835 3,477 4,175

Logan, UT-ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,891 37,210 32,907 6,984 21.2 21.8 8,424 593 1,005 996Longview, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85,155 83,652 81,145 4,010 4.9 47.7 3,320 275 381 651Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,085 40,633 38,624 3,461 9.0 37.0 4,323 276 578 703Los Angeles-Long Beach-Santa Ana, CA . . . . . . . . . . . . 4,421,154 4,356,915 4,240,392 180,762 4.3 911.5 256,386 15,045 26,616 33,505

Los Angeles-Long Beach-Glendale, CA . . . . . . . . . . . . . 3,385,944 3,339,748 3,270,907 115,037 3.5 833.8 178,902 11,810 19,244 25,202Santa Ana-Anaheim-Irvine, CA . . . . . . . . . . . . . . . . . . . 1,035,210 1,017,167 969,485 65,725 6.8 1,311.4 77,484 3,235 7,372 8,303

Louisville/Jefferson County, KY-IN . . . . . . . . . . . . . . . . . . . 552,372 532,983 492,299 60,073 12.2 133.6 (X) 3,691 6,062 5,665Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119,046 114,905 103,797 15,249 14.7 66.2 17,339 1,502 1,280 1,514Lynchburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109,303 104,658 98,057 11,246 11.5 51.5 13,079 906 1,716 1,840Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104,203 100,543 94,063 10,140 10.8 60.4 12,193 894 1,613 1,577Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,353 45,498 40,387 8,966 22.2 23.1 9,714 240 509 1,376Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247,958 237,568 212,661 35,297 16.6 90.6 39,792 1,906 2,623 3,724








2008(July 1)

2005(July 1)

20001

(est-matesbase)

Change,2000–2008

Unitsper

squaremile

ofland

area,22008



Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . . . 162,539 159,321 149,964 12,575 8.4 185.5 15,227 690 971 1,346Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,973 54,805 53,062 1,911 3.6 110.6 3,383 110 202 231McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . . . 253,366 231,568 192,658 60,708 31.5 161.4 64,463 3,694 6,458 8,046Medford, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,254 84,381 75,739 12,515 16.5 31.7 13,694 449 1,138 1,333Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . . . 554,139 527,490 480,842 73,297 15.2 121.2 79,840 3,106 8,078 10,251Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83,699 77,567 68,372 15,327 22.4 43.4 16,589 349 794 2,216

Miami-Fort Lauderdale-Pompano Beach, FL . . . . . . . . . . 2,425,705 2,340,685 2,149,891 275,814 12.8 473.3 299,392 7,821 15,145 35,110Fort Lauderdale-Pompano Beach-Deerfield Beach, FL . . . 805,772 791,390 741,042 64,730 8.7 668.5 71,450 2,164 3,933 6,716Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . . . . 979,082 929,836 852,417 126,665 14.9 503.1 137,159 3,474 8,082 20,017West Palm Beach-Boca Raton-Boynton Beach, FL . . . . . . 640,851 619,459 556,432 84,419 15.2 324.6 90,783 2,183 3,130 8,377

Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . . . . 48,448 47,555 45,621 2,827 6.2 81.0 3,693 180 330 382Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,460 49,241 48,060 2,400 5.0 56.1 2,945 483 514 470

Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . . . 654,518 644,537 618,245 36,273 5.9 448.3 45,259 2,444 3,266 4,290Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . . . 1,345,478 1,300,438 1,169,782 175,696 15.0 221.9 179,917 5,781 9,982 15,712Missoula, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,317 44,833 41,318 4,999 12.1 17.8 6,018 439 667 518Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180,851 174,746 165,101 15,750 9.5 146.7 20,159 2,416 2,484 2,777Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175,099 167,055 150,806 24,293 16.1 117.2 27,566 481 1,865 2,644Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,694 73,912 71,026 5,668 8.0 51.5 5,458 311 555 883

Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,728 62,055 56,471 7,257 12.9 115.6 7,439 114 400 672Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158,039 153,024 144,630 13,409 9.3 58.0 14,761 649 1,894 1,590Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,100 51,460 50,140 1,960 3.9 51.6 1,112 264 103 165Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,418 57,483 53,744 5,674 10.6 83.1 5,569 345 731 688Mount Vernon-Anacortes, WA . . . . . . . . . . . . . . . . . . . . . 48,958 46,473 42,679 6,279 14.7 28.2 7,310 438 807 1,009Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,872 52,679 51,032 1,840 3.6 134.4 2,657 75 134 208

Muskegon-Norton Shores, MI. . . . . . . . . . . . . . . . . . . . . . 73,484 72,652 68,556 4,928 7.2 144.3 6,152 208 346 480Myrtle Beach-North Myrtle Beach-Conway, SC . . . . . . . . . . 172,841 147,225 122,103 50,738 41.6 152.5 55,403 2,997 5,268 10,335Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,318 52,154 48,554 4,764 9.8 70.7 5,734 230 330 507Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . . . 193,808 181,261 144,536 49,272 34.1 95.7 50,607 951 2,095 4,788Nashville-Davidson—Murfreesboro—Franklin, TN . . . . . . . . 653,082 609,177 543,271 109,811 20.2 114.8 118,102 8,188 13,567 15,327New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . . . 349,831 346,893 340,732 9,099 2.7 577.6 15,646 920 1,256 1,654

New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . . . 447,553 568,435 548,630 −101,077 −18.4 141.9 48,645 4,789 7,024 5,534New York-Northern New Jersey-Long Island, NY-NJ-PA . . 7,420,680 7,294,603 7,091,156 329,524 4.6 1,103.3 482,284 51,590 56,405 60,987

Edison-New Brunswick, NJ. . . . . . . . . . . . . . . . . . . . . . 942,256 922,550 875,257 66,999 7.7 547.0 82,902 4,864 6,735 8,559Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,003,720 996,842 980,474 23,246 2.4 837.2 43,011 3,264 2,948 4,025Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . . . 845,494 829,708 804,578 40,916 5.1 384.9 60,132 3,700 5,415 8,505New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . . . 4,629,210 4,545,503 4,430,847 198,363 4.5 2,879.2 296,239 39,762 41,307 39,898

Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . 77,251 76,004 73,446 3,805 5.2 135.3 5,193 281 467 625Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . . . 117,044 114,805 110,682 6,362 5.7 175.8 8,417 363 718 1,006Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161,651 145,693 122,662 38,989 31.8 102.4 42,277 1,139 3,035 7,063Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,795 98,354 91,047 11,748 12.9 402.8 13,488 485 1,081 1,580Odessa, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,544 50,715 49,500 2,044 4.1 57.2 2,577 716 439 261Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . 180,067 167,536 146,726 33,341 22.7 120.9 35,792 1,980 3,434 4,922

Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . 526,822 506,111 472,085 54,737 11.6 95.5 61,916 4,099 6,275 7,433Olympia, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,748 95,103 86,653 16,095 18.6 141.3 18,618 1,361 2,603 3,204Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . . . 353,935 339,302 311,588 42,347 13.6 81.1 51,380 4,521 5,048 5,466Orlando-Kissimmee, FL. . . . . . . . . . . . . . . . . . . . . . . . . . 899,470 819,734 683,525 215,945 31.6 257.7 232,668 10,233 18,638 30,984Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,662 70,000 64,721 6,941 10.7 163.4 8,851 638 559 816Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,286 50,283 46,424 4,862 10.5 56.6 5,259 308 432 351

Oxnard-Thousand Oaks-Ventura, CA. . . . . . . . . . . . . . . . . 273,535 266,550 251,707 21,828 8.7 148.2 25,365 893 1,595 2,244Palm Bay-Melbourne-Titusville, FL . . . . . . . . . . . . . . . . . . 267,456 252,312 222,073 45,383 20.4 262.7 49,427 1,625 2,927 5,044Palm Coast, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,934 42,852 24,452 24,482 100.1 100.9 21,993 648 567 1,839Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . . 98,664 89,763 78,437 20,227 25.8 129.2 22,227 918 1,036 3,076Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . . . 75,517 75,249 74,024 1,493 2.0 55.3 2,291 206 216 295Pascagoula, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,260 64,480 59,191 6,069 10.3 54.1 9,947 1,029 1,413 1,541Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . . . 199,350 191,234 173,767 25,583 14.7 118.7 29,021 1,290 2,622 2,811

Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163,549 159,819 153,287 10,262 6.7 66.2 13,660 994 1,352 1,622Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . 2,394,298 2,359,189 2,281,826 112,472 4.9 517.2 159,966 10,570 13,477 17,212

Camden, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 489,321 478,541 456,045 33,276 7.3 362.0 41,556 2,659 3,151 5,108Philadelphia, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,623,479 1,604,944 1,565,640 57,839 3.7 749.6 92,750 6,295 8,296 9,673Wilmington, DE-MD-NJ . . . . . . . . . . . . . . . . . . . . . . . . 281,498 275,704 260,141 21,357 8.2 253.1 25,660 1,616 2,030 2,431

Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . . 1,715,546 1,564,340 1,331,390 384,156 28.9 117.7 422,130 18,533 37,272 44,280

Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,996 44,324 43,141 1,855 4.3 22.0 1,367 131 169 101Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,107,522 1,100,502 1,078,481 29,041 2.7 209.8 53,559 3,774 4,680 5,633Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,253 67,620 66,301 1,952 2.9 73.3 3,478 315 298 352Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,055 33,613 31,946 3,109 9.7 13.9 3,826 231 330 701Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . . . 256,729 248,779 233,323 23,406 10.0 123.4 27,836 1,259 2,672 3,202Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . . . 898,794 857,830 790,879 107,915 13.6 134.5 126,262 7,408 13,115 15,376

Port St. Lucie, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208,261 190,003 156,733 51,528 32.9 184.6 54,603 1,253 2,409 6,328Poughkeepsie-Newburgh-Middletown, NY . . . . . . . . . . . . . 247,600 242,185 228,857 18,743 8.2 153.0 24,125 1,921 2,020 2,200Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105,871 97,263 81,730 24,141 29.5 13.0 24,464 787 1,461 2,987Providence-New Bedford-Fall River, RI-MA. . . . . . . . . . . . . 676,931 671,078 656,755 20,176 3.1 422.8 34,165 1,598 3,085 3,685Provo-Orem, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146,574 129,850 107,126 39,448 36.8 27.2 38,135 1,325 4,498 6,486Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,597 65,018 58,926 8,671 14.7 28.3 9,869 416 677 1,304








2008(July 1)

2005(July 1)

20001

(est-matesbase)

Change,2000–2008

Unitsper

squaremile

ofland

area,22008



Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101,223 91,522 79,758 21,465 26.9 145.9 22,794 433 1,370 4,335Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81,545 79,465 74,719 6,826 9.1 244.8 7,803 277 632 806Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441,254 395,572 329,483 111,771 33.9 208.6 127,063 11,397 16,614 17,712Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,557 51,806 47,399 7,158 15.1 8.7 8,002 477 957 956Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161,023 158,421 150,222 10,801 7.2 187.5 14,080 659 1,288 1,173Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,983 74,219 68,810 8,173 11.9 20.3 9,491 530 712 952

Reno-Sparks, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181,080 170,097 145,504 35,576 24.5 27.4 39,053 1,924 2,110 3,670Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 516,078 494,024 452,683 63,395 14.0 90.4 73,543 4,982 7,118 7,980Riverside-San Bernardino-Ontario, CA. . . . . . . . . . . . . . . . 1,456,490 1,355,076 1,186,039 270,451 22.8 53.4 293,231 8,946 20,086 38,089Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140,211 137,202 129,585 10,626 8.2 74.8 12,967 858 1,006 1,228Rochester, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,786 74,865 65,129 12,657 19.4 48.1 13,532 631 786 1,109Rochester, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 442,407 438,671 427,177 15,230 3.6 150.9 24,569 1,898 1,906 2,288

Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144,556 139,470 129,819 14,737 11.4 181.8 17,256 465 1,335 2,163Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,732 65,076 61,053 5,679 9.3 63.8 6,706 367 845 702Rome, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,106 39,020 36,615 3,491 9.5 78.2 4,240 224 308 465Sacramento—Arden-Arcade—Roseville, CA . . . . . . . . . . . . 853,995 819,264 714,979 139,016 19.4 167.6 147,777 5,511 8,050 11,877Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . . . 88,803 88,392 85,507 3,296 3.9 109.8 4,685 144 240 270St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,514 73,351 63,751 12,763 20.0 43.7 12,801 629 780 1,267

St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,539 48,774 36,478 20,061 55.0 23.3 20,755 728 1,949 2,253St. Joseph, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,090 51,792 50,567 1,523 3.0 31.4 2,275 103 177 228St. Louis, MO-IL5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,230,378 1,198,775 1,133,252 97,126 8.6 142.3 112,304 5,735 10,311 11,807Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148,104 142,063 132,636 15,468 11.7 76.9 17,610 1,055 1,791 2,353Salinas, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140,157 137,534 131,708 8,449 6.4 42.2 10,403 456 1,107 865Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,844 49,038 44,493 7,351 16.5 73.6 8,319 392 677 1,217

Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 398,087 376,890 342,297 55,790 16.3 41.7 62,159 4,070 6,245 7,669San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,085 46,100 44,831 2,254 5.0 18.3 (X) 259 356 489San Antonio, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 769,210 717,377 648,592 120,618 18.6 104.8 134,202 10,574 13,295 19,761San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . . . 1,138,388 1,113,194 1,040,150 98,238 9.4 271.1 114,588 5,357 7,435 9,191Sandusky, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,563 37,082 35,909 1,654 4.6 147.4 2,252 55 127 196

San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . . . 1,697,758 1,668,788 1,606,856 90,902 5.7 686.5 116,303 7,555 10,560 14,483Oakland-Fremont-Hayward, CA. . . . . . . . . . . . . . . . . . . 962,246 939,785 894,760 67,486 7.5 660.2 81,491 3,976 6,838 10,498San Francisco-San Mateo-Redwood City, CA . . . . . . . . . 735,512 729,003 712,096 23,416 3.3 724.2 34,812 3,579 3,722 3,985

San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . . . 635,524 622,844 595,827 39,697 6.7 237.2 50,264 3,490 4,194 6,150San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . . . 116,767 112,099 102,275 14,492 14.2 35.3 16,339 674 1,266 1,764Santa Barbara-Santa Maria-Goleta, CA . . . . . . . . . . . . . . . 151,763 149,981 142,905 8,858 6.2 55.4 9,588 405 711 873

Santa Cruz-Watsonville, CA. . . . . . . . . . . . . . . . . . . . . . . 103,465 101,686 98,873 4,592 4.6 232.4 6,351 317 842 711Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,289 61,777 57,701 6,588 11.4 33.7 4,072 140 277 417Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . . . . . . . . . . 198,438 193,354 183,154 15,284 8.3 125.9 17,971 612 1,431 1,912Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148,061 136,385 122,625 25,436 20.7 108.9 28,335 2,103 3,698 4,859Scranton—Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . 258,820 256,814 252,766 6,054 2.4 148.2 12,017 700 1,416 1,474

Seattle-Tacoma-Bellevue, WA . . . . . . . . . . . . . . . . . . . . 1,434,889 1,364,620 1,255,510 179,379 14.3 243.4 201,233 15,512 25,403 25,743Seattle-Bellevue-Everett, WA . . . . . . . . . . . . . . . . . . . . 1,113,528 1,060,474 978,449 135,079 13.8 264.2 153,852 13,162 20,271 19,737Tacoma, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321,361 304,146 277,061 44,300 16.0 191.4 47,381 2,350 5,132 6,006

Sebastian-Vero Beach, FL. . . . . . . . . . . . . . . . . . . . . . . . 78,151 70,480 57,900 20,251 35.0 155.3 21,290 659 1,257 3,143Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,864 48,830 45,951 3,913 8.5 97.1 4,810 203 389 476Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . . . . . . . 52,187 50,499 48,315 3,872 8.0 55.9 3,593 203 518 445Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . . . 173,851 167,724 159,788 14,063 8.8 66.9 14,890 1,442 1,517 1,772

Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,725 58,317 56,940 1,785 3.1 28.3 3,159 173 271 310Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93,635 87,212 75,606 18,029 23.8 36.3 20,661 1,866 2,382 2,323South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . 140,339 137,465 130,896 9,443 7.2 147.8 12,127 830 1,250 1,299Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122,166 116,789 106,986 15,180 14.2 150.6 16,435 1,077 1,646 2,156Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197,319 187,835 175,005 22,314 12.8 111.9 26,196 2,406 2,777 3,764Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,521 94,745 90,747 5,774 6.4 81.6 7,908 605 608 853

Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285,054 282,195 276,462 8,592 3.1 154.1 13,031 819 1,211 1,658Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186,515 174,388 156,493 30,022 19.2 62.0 (X) 2,193 3,450 4,758Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,320 61,922 61,053 1,267 2.1 155.9 2,368 104 395 200State College, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,558 56,955 53,162 5,396 10.2 52.9 6,611 456 634 678Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228,601 217,993 189,162 39,439 20.8 163.4 42,405 819 2,426 3,652Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,795 43,976 41,747 4,048 9.7 68.8 4,993 299 916 768

Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 286,228 283,711 278,110 8,118 2.9 119.8 14,303 1,131 1,420 1,674Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161,280 152,202 136,750 24,530 17.9 67.6 27,248 1,171 2,899 3,018Tampa-St. Petersburg-Clearwater, FL . . . . . . . . . . . . . . . . 1,322,525 1,262,308 1,143,996 178,529 15.6 517.8 202,114 9,613 12,249 22,640Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,956 75,131 72,511 3,445 4.8 51.8 3,981 205 493 467Texarkana, TX-Texarkana, AR . . . . . . . . . . . . . . . . . . . . . 57,893 56,874 54,190 3,703 6.8 38.3 3,096 153 438 226Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 300,595 296,330 285,491 15,104 5.3 185.6 23,606 1,157 1,970 1,980

Topeka, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103,825 101,475 96,403 7,422 7.7 32.0 9,498 565 1,042 920Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140,828 138,901 133,280 7,548 5.7 623.3 10,363 625 700 847Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 426,372 405,604 366,733 59,639 16.3 46.4 69,453 3,221 5,237 8,522Tulsa, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 402,156 387,478 366,196 35,960 9.8 64.0 41,487 3,988 5,160 5,181Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,630 90,892 84,301 12,329 14.6 37.0 13,241 1,254 1,958 2,618Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,769 75,765 71,701 6,068 8.5 83.8 5,325 347 462 679








2008(July 1)

2005(July 1)

20001

(est-matesbase)

Change,2000–2008

Unitsper

squaremile

ofland

area,22008



Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136,056 135,541 134,829 1,227 0.9 51.9 4,348 343 480 638Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,753 53,095 48,165 8,588 17.8 35.7 (X) 846 1,253 1,462Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150,594 146,739 134,514 16,080 12.0 181.6 18,021 565 1,019 1,205Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,133 48,513 46,611 2,522 5.4 21.9 (X) 145 187 239Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . 55,827 54,191 52,862 2,965 5.6 114.1 4,147 336 683 737

Virginia Beach-Norfolk-Newport News, VA-NC. . . . . . . . . . . 686,547 665,117 622,878 63,669 10.2 261.3 77,510 5,149 6,317 7,689Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . 137,836 129,126 119,639 18,197 15.2 28.6 21,222 1,487 2,689 3,575Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92,873 89,791 84,796 8,077 9.5 89.1 9,159 858 1,064 1,053Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,132 53,586 44,509 13,623 30.6 154.3 14,927 917 1,490 2,113Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . 2,152,254 2,075,805 1,889,983 262,271 13.9 382.5 288,009 13,732 22,459 27,958

Bethesda-Frederick-Gaithersburg, MD . . . . . . . . . . . . . . 452,296 439,713 407,648 44,648 11.0 390.4 50,015 2,095 4,747 4,331Washington-Arlington-Alexandria, DC-VA-MD-WV. . . . . . . 1,699,958 1,636,092 1,482,335 217,623 14.7 380.4 237,994 11,637 17,712 23,627

Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . . . 70,641 69,349 66,401 4,240 6.4 46.9 5,441 350 466 645Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,813 55,472 50,361 7,452 14.8 37.4 8,482 568 675 676Weirton-Steubenville, WV-OH. . . . . . . . . . . . . . . . . . . . . . 59,552 59,624 59,169 383 0.6 102.4 1,187 82 166 51Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,464 45,792 43,351 5,113 11.8 10.2 6,269 489 1,107 1,041Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,519 69,548 69,219 300 0.4 73.1 662 36 137 73Wichita, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260,240 252,446 238,566 21,674 9.1 62.7 27,815 2,549 2,781 3,656

Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,492 64,062 62,167 3,325 5.3 24.9 3,834 162 766 358Williamsport, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,934 53,595 52,465 1,469 2.8 43.7 2,693 194 206 300Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201,169 180,833 151,863 49,306 32.5 104.5 55,038 3,662 6,229 7,107Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,110 50,458 45,090 9,020 20.0 50.8 9,928 431 802 1,428Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209,830 200,130 183,128 26,702 14.6 143.5 30,732 2,078 3,580 3,787Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317,133 311,354 298,164 18,969 6.4 209.6 25,263 909 1,787 2,685

Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83,697 81,635 79,174 4,523 5.7 19.5 6,473 760 1,224 692York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175,637 168,877 156,722 18,915 12.1 194.2 22,833 1,400 2,029 2,903Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . . . 262,679 261,663 256,737 5,942 2.3 154.2 11,221 531 851 956Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,082 57,170 50,955 11,127 21.8 50.3 12,286 261 1,028 1,349Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,498 83,186 74,140 13,358 18.0 15.9 14,632 827 1,044 1,574

X Not applicable.

1The April 1, 2000, housing estimates base reflects modifications to the Census 2000 population as documented in the Count Question Resolution program and geographic program revisions.2Units per square mile was calculated on the basis of land area data from the Census 2000.3After 2004, sample selected from a universe of 20,000 permit-issuing places.4The 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,




Survey, Census, or Data Collection Method: Housing units—Based on the Census of Population and Housing and, for housing unit estimates, the ‘‘component of housing unit change method’’;for more information, see Appendix B, Limitations of the Data and Methodology, and Internet sites <http://www.census.gov/prod/cen2000/doc/sf1.pdf> and<http://www.census.gov/popest/topics/methodology/>; New private housing units authorized by building permits—Based on a survey of local building permit officials using Form C-404; for information,see Internet site <http://www.census.gov/const/www/newresconstdoc.html>.

Sources: Housing units—U.S. Census Bureau, ‘‘Annual Estimates of Housing Units for Counties: April 1, 2000 to July 1, 2008,’’ released August 6, 2009 (related Internet site<http://www.census.gov/popest/housing/HU-EST2008-4.html>). New private housing units authorized by building permits—U.S. Census Bureau, ‘‘Annual New Privately-Owned Residential BuildingPermits’’ permits by county or place 2000–2008. Released May 4, 2009 (related Internet site <http://www.census.gov/const/www/permitsindex.html>).


Table B–10. Metropolitan Areas — Housing Units: 2005–2007



Housing units

Totalhousing

units

1 unitdetached(percent-

age)

With2 or

morevehicles

available(percent-

age)

Owner-occupied Renter-occupied

Owner-shiprate

Housing unitswith a mortgage

Number

Medianmonthly

rent(dol.)

Unitswith

rent 30percent or

more ofhousehold

income(percent-

age)Number

Medianmonthly

ownercosts(dol.)

Units withcosts 30

percent ormore of

householdincome

(percent-age)

Abilene, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,329 72.8 59.6 65.3 21,332 984 23.2 20,981 662 44.2Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 306,426 70.2 60.1 70.8 139,324 1,293 32.9 81,659 710 47.2Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,725 61.0 55.7 56.8 22,343 992 25.0 26,141 576 40.0Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . . . 377,695 57.5 55.6 66.8 150,321 1,449 30.1 112,013 766 42.3Albuquerque, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347,788 64.5 59.9 68.3 155,452 1,209 33.6 101,516 674 46.1Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,264 70.0 56.9 68.7 21,760 946 28.7 18,005 623 47.0

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . . . 329,745 56.6 62.0 73.4 152,033 1,500 34.5 81,275 770 44.9Altoona, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,107 70.5 56.8 72.6 21,075 960 25.5 14,076 529 40.7Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,230 70.5 60.0 65.9 35,162 1,069 28.8 29,961 611 43.2Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,859 54.0 63.4 57.3 11,975 1,314 20.9 13,441 690 50.0Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138,541 54.1 62.7 64.5 62,479 1,736 35.5 44,117 943 43.2Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,180 76.0 59.7 73.4 25,445 986 27.6 13,673 606 48.9

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,891 67.7 64.0 74.3 32,578 991 28.6 17,709 577 43.0Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145,986 55.7 58.6 64.8 65,362 1,802 33.1 46,805 840 53.8Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,089 68.2 63.5 71.6 18,875 903 27.1 13,302 554 41.2Appleton, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,412 71.9 68.2 75.3 45,622 1,324 27.3 20,993 634 41.2Asheville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195,933 66.8 62.3 71.2 70,305 1,118 32.3 48,657 664 41.4Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . 78,684 56.0 60.6 57.6 26,673 1,198 32.1 29,085 683 49.5

Atlanta-Sandy Springs-Marietta, GA . . . . . . . . . . . . . . . . . 2,048,487 67.2 61.7 69.1 1,017,739 1,488 35.1 562,038 869 47.0Atlantic City-Hammonton, NJ . . . . . . . . . . . . . . . . . . . . . . 124,737 56.2 51.8 68.3 49,972 1,693 46.4 32,560 902 48.6Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,057 49.1 60.5 61.7 22,083 1,101 25.2 20,291 586 48.7Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . . . 223,139 66.2 59.8 69.2 92,366 1,073 27.1 60,820 639 41.0Austin-Round Rock, TX. . . . . . . . . . . . . . . . . . . . . . . . . . 614,096 59.4 58.3 60.1 254,058 1,562 33.5 223,491 822 45.6Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261,947 71.2 61.6 62.0 109,750 1,423 43.7 89,587 733 46.7

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . . . 1,099,032 45.1 56.0 68.7 515,862 1,644 32.3 312,164 906 46.4Bangor, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,081 62.9 59.7 71.5 27,351 1,057 29.1 17,232 616 47.0Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 154,745 83.3 61.5 79.3 50,962 1,826 49.0 20,473 1,067 49.7Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311,736 65.7 56.9 68.8 123,388 1,111 27.7 87,256 670 44.7Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,607 72.6 57.6 73.6 26,332 1,110 30.0 14,346 611 51.4Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,020 76.2 59.6 80.4 21,620 1,082 29.1 8,771 530 40.1

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . . . 160,897 72.5 56.3 69.1 47,043 1,039 22.8 43,774 622 42.9Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,935 60.7 63.1 62.8 32,354 1,471 41.5 27,827 755 52.2Bend, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,545 71.9 72.4 69.2 31,031 1,478 42.4 18,558 843 41.1Billings, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,913 65.2 65.1 70.9 27,437 1,153 29.5 17,192 585 43.0Binghamton, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110,538 61.1 54.9 69.0 40,729 1,072 25.8 31,230 567 42.9Birmingham-Hoover, AL . . . . . . . . . . . . . . . . . . . . . . . . . 491,698 69.4 62.1 72.6 208,086 1,162 28.8 117,853 678 41.7

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,946 57.4 66.1 70.6 18,807 1,166 24.4 12,192 516 31.9Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . . . 67,280 59.1 61.7 62.1 23,205 1,026 25.8 22,530 605 49.5Bloomington, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82,412 57.7 59.6 64.2 29,142 1,041 25.6 24,637 646 51.2Bloomington-Normal, IL. . . . . . . . . . . . . . . . . . . . . . . . . . 67,234 61.3 62.0 68.4 30,039 1,320 23.9 19,336 674 47.1Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . 227,544 73.8 68.2 71.6 117,332 1,215 32.8 60,299 704 41.4

Boston-Cambridge-Quincy, MA-NH . . . . . . . . . . . . . . . . 1,810,780 48.8 52.5 64.6 797,847 2,153 41.1 597,246 1,074 47.8Boston-Quincy, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 752,139 44.0 46.1 60.7 312,810 2,156 42.5 273,595 1,097 49.1Cambridge-Newton-Framingham, MA. . . . . . . . . . . . . . . 590,442 49.7 54.7 65.3 263,145 2,270 39.1 193,015 1,147 44.7Peabody, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295,912 51.1 54.4 66.4 133,887 2,075 42.9 91,869 957 50.9Rockingham County-Strafford County, NH. . . . . . . . . . . . 172,287 62.3 69.2 75.5 88,005 1,926 39.7 38,767 943 47.0

Boulder, CO1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122,595 61.9 62.2 66.0 57,849 1,803 35.3 38,526 946 54.5

Bowling Green, KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,460 64.3 61.8 65.8 19,608 1,041 24.4 15,283 588 42.5Bradenton-Sarasota-Venice, FL . . . . . . . . . . . . . . . . . . . . 381,001 53.7 50.5 75.7 133,671 1,504 46.6 72,848 943 52.8Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . . . 99,717 67.6 65.3 69.3 47,465 1,550 37.5 28,146 834 43.8Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . . . 348,939 58.9 62.0 71.7 170,200 2,558 43.3 91,834 1,150 49.3Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . . . 140,565 63.3 48.8 67.9 37,841 982 44.5 36,858 531 45.9Brunswick, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,413 61.1 58.8 66.7 16,262 1,103 28.8 12,990 703 38.6

Buffalo-Niagara Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . 520,159 58.1 49.4 67.2 197,726 1,218 27.8 152,831 637 46.0Burlington, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,434 66.5 64.4 68.5 26,505 1,131 33.3 17,837 684 44.4Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . . . 88,114 61.6 61.3 71.3 41,729 1,559 36.2 23,091 852 51.0Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . 176,939 74.6 61.7 72.6 79,372 1,134 30.9 44,075 587 42.7Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . . . . . . . 338,761 51.4 52.9 73.9 113,221 1,520 47.5 63,589 970 50.0Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,759 61.4 60.5 63.6 8,947 1,483 43.8 7,756 842 46.6

Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,051 70.0 65.1 70.5 12,373 1,021 24.7 8,072 558 34.8Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110,075 69.0 63.6 73.4 51,081 1,194 24.6 27,220 578 38.6Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . . . 95,696 59.3 54.1 59.5 34,405 1,179 24.8 35,464 670 53.5Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144,944 68.2 54.3 74.4 48,428 898 21.8 32,379 545 35.5Charleston-North Charleston-Summerville, SC . . . . . . . . . . 273,509 60.5 57.7 66.9 111,351 1,316 37.0 77,707 805 40.6Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . . . 682,546 66.8 60.7 68.1 326,861 1,311 30.6 196,687 743 43.4

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85,231 66.4 61.9 64.9 34,378 1,433 33.2 26,699 883 43.8Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . . . 225,537 70.2 61.5 70.2 88,879 1,056 28.4 60,345 604 38.6Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,424 62.0 64.6 68.6 16,295 1,259 31.6 10,547 644 33.2Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . . . 3,711,660 52.2 53.6 69.0 1,731,379 1,804 42.7 1,048,772 851 47.9

Chicago-Naperville-Joliet, IL . . . . . . . . . . . . . . . . . . . . . 3,104,214 48.8 51.5 67.8 1,421,894 1,844 44.1 910,375 861 48.4Gary, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 290,775 71.2 59.7 72.6 133,120 1,241 30.7 72,084 717 45.2Lake County-Kenosha County, IL-WI . . . . . . . . . . . . . . . 316,671 67.5 67.6 77.4 176,365 1,939 40.3 66,313 868 44.5



Table B–10. Metropolitan Areas — Housing Units: 2005–2007—Con.



Housing units

Totalhousing

units


age)

With2 or

morevehicles

available(percent-

age)


Owner-shiprate


Number

Medianmonthly

rent(dol.)

Unitswith

rent 30percent or

more ofhousehold

income(percent-

age)Number

Medianmonthly

ownercosts(dol.)

Units withcosts 30

percent ormore of

householdincome

(percent-age)

Chico, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93,573 61.3 60.7 59.1 31,780 1,450 44.6 34,626 807 57.9Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . . . 901,321 64.3 60.1 69.6 418,462 1,322 28.5 244,103 651 43.2Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105,793 70.8 66.2 66.0 42,539 985 25.2 31,522 653 37.9Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,359 70.1 66.1 68.7 17,751 1,020 29.4 13,803 557 38.1Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . . . 940,873 64.6 53.7 69.2 407,791 1,361 35.2 259,251 681 47.7Coeur d’Alene, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,831 72.3 69.4 71.4 26,447 1,206 42.7 14,504 734 47.0

College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . . . 85,162 53.8 57.7 52.6 23,214 1,180 30.0 35,016 672 51.8Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . 250,819 66.3 65.0 68.4 123,710 1,450 34.8 71,593 772 45.4Columbia, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,753 59.3 59.9 60.2 28,531 1,123 23.9 26,375 672 46.7Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303,711 64.5 60.6 69.7 133,047 1,128 28.6 82,066 694 41.7Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126,560 66.1 55.0 60.3 44,232 1,062 32.2 43,074 645 43.7Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,154 76.1 67.9 73.8 14,650 1,073 19.6 7,345 718 44.9

Columbus, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 764,956 62.3 59.9 65.7 344,695 1,411 31.0 232,188 715 43.7Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173,172 65.5 54.3 63.0 51,638 1,235 33.9 55,154 726 48.0Corvallis, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,796 59.2 59.7 57.0 12,917 1,486 30.8 13,991 698 50.6Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,058 69.5 58.1 71.3 15,330 901 23.9 11,585 489 41.5Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . 2,310,032 63.0 60.3 63.4 975,532 1,532 34.0 760,435 795 44.9

Dallas-Plano-Irving, TX . . . . . . . . . . . . . . . . . . . . . . . . 1,542,991 61.4 59.1 62.3 646,656 1,592 35.0 523,411 805 45.2Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . . . . . 767,041 66.3 62.7 65.7 328,876 1,427 32.2 237,024 773 44.4

Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,375 59.3 58.6 70.5 19,741 968 28.9 13,230 573 42.0Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,792 77.4 55.8 71.0 12,482 866 22.8 9,540 573 44.1Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,820 70.5 58.0 69.1 17,717 907 30.2 14,035 528 39.7Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . . . 164,065 72.8 60.4 72.9 70,003 1,093 25.8 40,977 590 41.2Dayton, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 378,884 69.7 59.3 67.4 161,940 1,193 28.9 110,979 664 46.3Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,259 69.3 66.9 76.3 26,981 975 25.2 13,925 518 33.6

Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,830 78.5 56.3 71.9 20,268 968 20.4 13,009 555 41.6Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . . . 242,352 64.3 53.1 75.1 94,058 1,261 42.8 50,084 844 54.4Denver-Aurora, CO1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,026,253 60.4 60.8 68.3 516,540 1,669 38.8 298,394 818 47.1Des Moines-West Des Moines, IA. . . . . . . . . . . . . . . . . . . 230,645 67.4 64.8 73.0 116,021 1,288 26.4 57,766 688 40.1Detroit-Warren-Livonia, MI. . . . . . . . . . . . . . . . . . . . . . . 1,889,723 69.7 57.6 74.5 910,420 1,484 36.6 430,905 753 48.5

Detroit-Livonia-Dearborn, MI . . . . . . . . . . . . . . . . . . . . . 837,675 68.8 48.8 68.4 336,497 1,368 40.2 225,976 729 52.7Warren-Troy-Farmington Hills, MI . . . . . . . . . . . . . . . . . 1,052,048 70.4 64.1 79.0 573,923 1,570 34.5 204,929 780 43.9

Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,477 70.0 59.0 72.5 22,803 882 24.1 14,642 537 38.7Dover, DE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,010 65.3 62.0 72.8 27,525 1,331 35.7 15,129 840 46.0Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,511 70.3 62.8 75.8 16,877 1,112 25.0 8,830 538 38.1Duluth, MN-WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136,000 75.1 60.4 74.8 52,951 1,102 30.4 29,379 588 46.3Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209,240 58.6 56.4 61.0 84,044 1,376 31.0 72,963 751 45.3Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,745 68.3 64.9 70.4 29,371 1,189 29.9 18,408 603 44.1

El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,577 63.4 55.6 55.3 17,283 1,440 48.4 20,366 643 50.9Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,074 66.8 65.9 69.0 19,318 1,018 24.3 13,012 555 28.7Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,617 71.4 62.4 70.8 36,435 1,109 25.8 20,650 678 40.9Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,995 64.3 55.0 67.5 13,867 1,070 25.8 11,286 597 51.6El Paso, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 248,823 65.8 56.2 65.0 92,053 963 36.6 80,310 554 47.9Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117,587 65.7 52.9 70.0 46,082 1,090 28.8 32,185 571 43.9

Eugene-Springfield, OR . . . . . . . . . . . . . . . . . . . . . . . . . 147,771 61.7 59.6 62.4 59,872 1,316 39.5 51,775 714 50.0Evansville, IN-KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158,187 72.8 61.5 72.7 68,382 1,013 22.5 38,693 583 42.7Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,512 57.5 61.9 59.8 14,249 1,709 33.5 13,092 859 35.6Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85,505 50.4 60.9 58.9 33,599 1,265 23.5 33,033 574 45.2Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,940 57.6 64.2 75.3 16,118 956 28.5 9,492 638 35.1Fayetteville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147,165 65.0 60.4 60.6 58,477 1,101 33.1 51,623 732 45.3

Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . . . 176,839 69.9 65.3 65.4 70,653 1,098 25.6 54,969 654 39.5Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,161 59.3 62.3 61.9 17,657 1,406 35.7 16,471 839 46.8Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196,568 73.2 57.3 73.2 87,580 1,191 33.8 46,496 620 48.7Florence, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83,639 63.1 57.5 71.2 31,559 922 28.8 20,958 566 39.0Florence-Muscle Shoals, AL. . . . . . . . . . . . . . . . . . . . . . . 67,927 75.4 64.2 73.1 24,369 929 29.2 15,786 512 40.7Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,382 71.0 64.4 73.4 18,556 1,208 28.4 10,414 602 40.6

Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . . . 125,084 67.4 66.1 68.5 59,766 1,547 37.7 35,091 791 51.9Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122,105 73.3 58.7 68.4 42,226 850 27.3 33,852 531 39.8Fort Walton Beach-Crestview-Destin, FL . . . . . . . . . . . . . . 90,572 61.7 65.8 67.6 33,499 1,322 30.4 24,189 867 37.3Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176,388 73.0 62.0 72.6 82,672 1,055 22.8 43,634 604 39.8Fresno, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 298,857 66.9 58.7 56.0 114,870 1,534 42.7 121,800 761 50.5Gadsden, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,917 73.8 64.4 72.9 17,015 902 28.4 11,672 518 40.7

Gainesville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112,990 49.8 53.0 55.4 37,259 1,216 34.8 45,219 762 51.8Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,976 70.5 66.0 70.8 27,421 1,303 33.7 15,827 784 43.1Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,257 71.0 59.2 70.8 22,090 1,242 34.2 14,922 719 44.2Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,255 60.2 62.1 66.0 18,831 1,026 29.4 14,990 589 37.6Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,546 57.2 63.0 61.8 15,071 1,125 24.8 15,029 566 44.7Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,281 70.3 67.4 71.3 26,458 1,195 33.2 15,375 745 43.2

Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . . . 316,120 67.6 63.4 74.6 154,430 1,240 32.2 73,193 652 44.8Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,077 65.5 63.3 67.9 14,121 1,067 30.6 10,319 531 32.6Greeley, CO1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,876 70.3 70.6 71.1 46,426 1,479 39.4 23,424 717 44.8Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,471 66.7 64.4 69.6 58,726 1,336 30.1 36,256 645 39.4Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . . . 306,715 66.0 60.1 66.1 126,761 1,167 30.8 93,183 660 45.1Greenville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,379 50.1 56.0 57.7 27,445 1,127 30.4 28,740 625 53.6






Housing units

Totalhousing

units


age)

With2 or

morevehicles

available(percent-

age)


Owner-shiprate


Number

Medianmonthly

rent(dol.)

Unitswith

rent 30percent or

more ofhousehold

income(percent-

age)Number

Medianmonthly

ownercosts(dol.)

Units withcosts 30

percent ormore of

householdincome

(percent-age)

Greenville-Mauldin-Easley, SC . . . . . . . . . . . . . . . . . . . . . 264,075 64.7 61.4 69.1 106,690 1,117 28.3 72,081 621 41.4Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109,326 64.6 61.9 68.2 38,607 1,066 35.1 29,032 739 37.2Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . . . 109,916 64.8 64.7 70.3 47,071 1,295 29.7 29,532 694 39.6Hanford-Corcoran, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 40,959 69.9 62.3 57.2 16,710 1,389 38.4 16,607 719 43.1Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . . . 228,813 57.1 60.3 70.8 100,201 1,299 27.4 61,679 691 38.0Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,943 60.6 67.6 62.5 16,407 1,148 29.2 15,909 668 41.3

Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . . . 489,175 59.1 60.5 69.4 226,151 1,774 33.9 139,451 849 44.1Hattiesburg, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,120 64.7 59.7 65.7 19,075 976 30.8 16,833 614 41.5Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . . . 156,250 67.3 65.7 74.4 65,348 942 28.8 35,075 562 37.8Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . . . 28,470 47.7 58.7 51.3 9,365 910 25.9 11,730 703 37.9Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . . . 99,123 69.5 72.6 81.9 53,562 1,305 28.8 16,390 708 37.3Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 332,248 46.1 54.1 56.9 118,919 2,078 42.8 129,868 1,161 48.0

Hot Springs, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,674 66.3 53.5 68.1 14,340 936 31.7 12,386 599 47.9Houma-Bayou Cane-Thibodaux, LA . . . . . . . . . . . . . . . . . 80,513 68.8 59.1 73.9 27,955 985 22.3 18,499 578 35.2Houston-Sugar Land-Baytown, TX . . . . . . . . . . . . . . . . . . 2,101,436 61.6 58.4 63.7 820,465 1,479 33.6 673,480 763 45.9Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . . . 131,968 71.9 57.4 72.6 45,332 860 23.7 31,468 523 42.2Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163,135 71.3 64.4 71.7 74,503 1,114 22.5 41,724 605 37.4Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,522 71.5 70.9 74.0 20,980 1,038 25.1 10,620 610 36.9

Indianapolis-Carmel, IN. . . . . . . . . . . . . . . . . . . . . . . . . . 735,659 69.0 61.8 69.5 351,563 1,247 27.1 198,601 701 44.5Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,557 54.9 60.5 62.9 25,771 1,330 26.2 21,741 688 52.3Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,393 47.4 53.0 52.8 12,216 1,415 29.1 17,636 799 51.0Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,486 76.1 61.9 76.8 32,373 1,189 33.6 14,046 665 53.6Jackson, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216,541 69.7 59.7 69.2 88,743 1,095 28.5 59,725 716 45.4Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,848 71.9 60.8 67.5 19,985 1,053 30.0 14,409 642 49.4

Jacksonville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 566,961 63.3 59.0 68.7 252,808 1,320 34.5 155,947 824 45.1Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,785 57.5 63.2 60.0 22,666 1,055 30.2 21,725 694 36.7Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,454 71.9 61.7 74.0 32,181 1,260 30.4 16,100 653 41.4Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,064 71.8 64.7 71.7 25,172 983 22.2 15,467 537 32.4Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,525 65.9 60.9 70.6 29,584 919 27.1 22,509 500 30.8Johnstown, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,252 72.9 54.8 73.7 21,197 920 24.3 15,603 471 35.5

Jonesboro, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,836 71.7 58.1 64.3 16,827 887 24.6 15,753 537 44.3Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,818 75.1 61.9 69.2 27,674 856 26.1 19,808 559 44.6Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . . 143,470 66.4 60.6 69.4 60,853 1,243 30.7 38,846 633 50.6Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,578 70.4 61.2 70.5 18,776 1,260 34.4 11,863 682 41.3Kansas City, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . 849,551 70.4 61.9 69.7 394,685 1,337 28.4 232,195 722 41.9Kennewick-Pasco-Richland, WA . . . . . . . . . . . . . . . . . . . . 83,859 63.3 69.1 70.1 38,624 1,261 29.3 22,850 682 42.6

Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . . 140,965 63.7 61.6 60.2 48,297 1,131 27.5 48,157 760 40.0Kingsport-Bristol-Bristol, TN-VA . . . . . . . . . . . . . . . . . . . . 144,049 70.0 64.2 74.5 50,982 862 26.6 33,078 486 35.4Kingston, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81,051 69.5 61.3 67.7 30,174 1,670 39.9 22,380 897 47.9Knoxville, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303,576 69.3 62.5 70.6 123,881 1,108 28.0 81,171 623 39.7Kokomo, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,479 74.5 63.1 71.0 20,458 1,032 25.6 12,016 623 39.6La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,143 66.1 63.3 69.7 24,052 1,235 29.2 15,850 584 41.0

Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,431 62.7 59.7 59.8 30,671 1,129 24.8 28,946 679 54.6Lafayette, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108,293 64.4 58.8 67.5 40,188 1,033 26.7 32,316 604 40.5Lake Charles, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85,642 66.5 54.7 69.9 28,126 936 22.4 22,563 608 40.6Lake Havasu City-Kingman, AZ . . . . . . . . . . . . . . . . . . . . 98,220 58.4 62.0 70.2 32,263 1,086 38.5 22,357 772 46.8Lakeland-Winter Haven, FL . . . . . . . . . . . . . . . . . . . . . . . 267,907 57.6 53.8 71.6 93,796 1,185 38.9 62,997 770 44.3Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192,308 55.9 61.4 70.4 87,014 1,339 30.6 54,848 737 40.6Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . . . 195,368 66.4 59.4 69.3 86,635 1,311 31.8 54,598 680 47.8

Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,032 65.0 54.1 64.4 22,972 1,206 43.9 21,664 617 51.2Las Cruces, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,605 55.0 62.6 64.9 25,899 985 32.5 23,913 597 52.0Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . . . 754,169 57.1 54.6 59.4 316,476 1,689 47.4 268,572 973 48.6Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,978 55.4 60.6 57.0 18,105 1,346 31.9 18,484 729 53.8Lawton, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,642 72.8 59.6 60.5 16,399 974 25.8 16,203 598 39.6Lebanon, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,909 58.8 62.7 74.7 22,599 1,180 28.0 12,518 595 36.3

Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,148 69.5 65.6 69.3 10,373 1,090 30.7 7,500 554 45.7Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,948 54.9 57.7 66.5 20,009 1,191 31.0 14,539 602 42.5Lexington-Fayette, KY . . . . . . . . . . . . . . . . . . . . . . . . . . 198,931 65.2 58.3 62.2 84,378 1,167 25.9 68,733 635 43.3Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,244 74.2 61.3 71.1 18,197 988 23.0 11,718 555 39.5Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121,972 61.9 61.4 63.4 53,323 1,268 25.7 41,854 632 43.0Little Rock-North Little Rock-Conway, AR . . . . . . . . . . . . . . 289,566 69.1 60.0 67.1 117,906 1,067 24.2 85,125 673 42.5

Logan, UT-ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,092 68.7 73.4 67.3 16,792 1,148 31.5 11,589 608 43.5Longview, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,164 70.4 59.8 69.5 26,845 964 24.9 22,779 606 35.6Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,059 67.4 65.8 67.4 17,850 1,247 37.0 12,369 634 46.3Los Angeles-Long Beach-Santa Ana, CA . . . . . . . . . . . . 4,379,905 50.3 58.1 52.3 1,686,689 2,273 52.0 1,977,487 1,070 53.0

Los Angeles-Long Beach-Glendale, CA . . . . . . . . . . . . . 3,356,711 50.2 55.6 49.3 1,213,526 2,200 53.0 1,611,319 1,002 53.1Santa Ana-Anaheim-Irvine, CA . . . . . . . . . . . . . . . . . . . 1,023,194 50.8 66.4 62.3 473,163 2,459 49.4 366,168 1,343 52.6

Louisville/Jefferson County, KY-IN . . . . . . . . . . . . . . . . . . . 540,032 70.9 58.8 70.8 245,560 1,155 28.4 143,142 625 42.7Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,442 68.2 58.6 59.6 36,594 1,068 27.2 41,327 699 48.6Lynchburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,312 70.1 64.5 73.0 44,508 997 24.1 25,845 565 34.9Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101,019 67.7 58.1 66.3 37,807 1,088 32.7 28,634 637 47.6Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,369 79.0 67.1 63.6 18,961 1,512 46.3 15,220 752 46.9Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243,175 56.3 60.2 65.2 109,262 1,617 34.5 76,386 782 45.0






Housing units

Totalhousing

units


age)

With2 or

morevehicles

available(percent-

age)


Owner-shiprate


Number

Medianmonthly

rent(dol.)

Unitswith

rent 30percent or

more ofhousehold

income(percent-

age)Number

Medianmonthly

ownercosts(dol.)

Units withcosts 30

percent ormore of

householdincome

(percent-age)

Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . . . 160,710 58.2 66.4 70.2 80,254 1,892 39.1 44,613 979 45.7Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,908 72.7 59.7 72.1 22,009 1,087 27.5 13,852 551 43.0McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . . . 239,634 65.6 52.2 70.4 65,376 991 43.9 59,701 557 47.4Medford, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85,889 62.7 60.8 64.2 33,077 1,393 44.5 28,648 756 50.4Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . . . 537,587 68.2 54.2 65.8 231,275 1,227 34.9 162,500 726 49.5Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,577 74.3 64.0 57.5 30,836 1,659 52.5 30,853 799 50.6

Miami-Fort Lauderdale-Pompano Beach, FL . . . . . . . . . . 2,378,358 42.9 51.1 67.4 938,626 1,758 54.1 657,554 981 57.8Fort Lauderdale-Pompano Beach-Deerfield Beach, FL . . . 797,309 41.4 52.1 71.2 339,861 1,790 52.6 195,111 1,057 55.2Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . . . . 951,278 42.9 50.7 59.7 362,196 1,736 57.7 334,529 915 60.7West Palm Beach-Boca Raton-Boynton Beach, FL . . . . . . 629,771 44.7 50.6 74.8 236,569 1,751 50.5 127,914 1,067 54.1

Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . . . . 47,901 76.1 61.5 75.5 20,943 1,064 27.7 10,206 604 41.0Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,620 66.3 60.6 67.4 18,671 1,163 25.5 15,084 633 41.3

Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . . . 651,895 55.6 54.7 64.4 279,110 1,530 34.5 216,408 729 46.9Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . . . 1,308,570 62.3 62.4 74.7 723,410 1,659 35.0 312,019 802 46.4Missoula, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,324 61.1 63.5 62.4 15,363 1,350 38.9 15,271 673 49.6Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176,642 72.1 59.2 68.6 67,010 1,006 30.5 47,352 628 44.7Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170,631 75.5 64.8 63.9 77,462 1,794 51.8 57,316 883 54.4Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,090 67.0 54.6 66.0 23,637 971 28.3 21,459 583 48.0

Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,775 73.9 68.4 80.9 33,472 1,403 31.4 11,060 696 39.6Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154,887 68.3 58.0 68.4 64,325 1,028 27.8 43,225 666 42.9Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,706 61.0 55.7 68.6 15,405 975 24.1 13,481 581 45.5Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,142 67.6 67.3 73.9 21,995 881 27.9 13,458 541 37.8Mount Vernon-Anacortes, WA . . . . . . . . . . . . . . . . . . . . . 47,395 68.1 68.7 68.6 20,044 1,454 42.7 13,507 849 44.7Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,780 70.8 60.1 66.2 20,251 936 28.6 15,707 605 53.9

Muskegon-Norton Shores, MI. . . . . . . . . . . . . . . . . . . . . . 73,035 77.5 59.9 79.4 34,689 1,078 34.1 13,453 555 52.5Myrtle Beach-North Myrtle Beach-Conway, SC . . . . . . . . . . 157,928 44.4 57.7 70.7 46,298 1,114 35.2 30,852 734 43.2Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,694 68.5 65.5 66.3 22,586 2,501 52.6 16,301 1,121 45.1Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . . . 187,003 39.5 54.1 75.7 54,338 1,821 50.4 29,149 1,061 51.0Nashville-Davidson—Murfreesboro—Franklin, TN . . . . . . . . 625,040 66.0 62.6 69.3 285,010 1,251 30.6 176,525 714 42.2New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . . . 348,241 54.4 56.2 66.3 155,700 1,812 39.4 108,585 908 50.0

New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . . . 476,782 61.3 52.8 65.8 167,540 1,240 33.9 134,370 772 45.8New York-Northern New Jersey-Long Island, NY-NJ-PA . . 7,336,005 36.5 37.7 53.7 2,467,597 2,415 47.4 3,108,755 1,016 48.6

Edison-New Brunswick, NJ. . . . . . . . . . . . . . . . . . . . . . 929,939 63.8 60.2 75.8 446,746 2,190 43.6 201,902 1,120 47.5Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,000,475 79.2 67.6 82.6 521,321 2,619 50.6 159,261 1,347 53.7Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . . . 835,893 53.8 54.8 64.1 356,580 2,410 45.0 272,885 977 47.3New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . . . 4,569,698 18.5 23.6 41.2 1,142,950 2,416 48.2 2,474,707 992 48.5

Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . 76,523 75.1 58.3 73.1 29,865 1,105 30.8 17,055 550 46.0Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . . . 115,711 64.5 63.2 69.5 50,975 1,728 35.8 31,808 910 43.9Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152,624 62.1 52.8 78.2 56,770 1,023 39.0 27,821 732 42.1Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,041 52.8 53.2 74.0 21,780 1,654 45.7 12,289 944 47.4Odessa, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,942 63.7 58.9 71.8 15,442 924 22.4 12,818 571 33.1Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . 172,246 74.0 73.5 77.1 94,542 1,299 29.1 36,762 698 37.7

Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . 513,994 70.8 59.8 66.1 205,092 1,093 26.2 155,519 629 42.5Olympia, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,681 65.3 64.9 65.8 44,931 1,518 35.5 31,458 835 48.4Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . . . 345,495 70.8 62.7 68.0 160,881 1,332 28.5 101,740 693 40.4Orlando-Kissimmee, FL. . . . . . . . . . . . . . . . . . . . . . . . . . 852,437 60.8 57.9 66.8 365,818 1,470 42.1 249,626 937 53.3Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,682 65.4 62.7 67.5 30,901 1,241 28.4 21,423 601 39.5Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,626 72.5 61.3 71.3 20,703 917 22.4 13,172 506 43.0

Oxnard-Thousand Oaks-Ventura, CA. . . . . . . . . . . . . . . . . 269,879 65.4 70.4 68.5 139,381 2,402 48.9 80,468 1,299 51.4Palm Bay-Melbourne-Titusville, FL . . . . . . . . . . . . . . . . . . 259,400 62.5 56.9 76.7 108,171 1,336 40.7 50,786 841 51.3Palm Coast, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,997 79.7 61.1 75.9 19,159 1,344 48.1 9,069 992 50.9Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . . 94,251 53.2 59.9 64.8 29,328 1,198 36.1 25,171 781 41.4Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . . . 75,235 73.3 58.4 73.1 27,144 918 25.8 18,173 532 47.8Pascagoula, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,547 73.7 65.7 74.1 24,655 1,025 28.7 14,243 723 40.1Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . . . 194,471 70.8 60.3 71.3 78,665 1,154 34.6 48,299 749 46.6

Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161,294 76.9 60.8 73.7 69,001 1,128 23.9 39,089 623 37.8Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . 2,373,156 44.5 52.1 70.7 1,077,644 1,659 35.9 634,605 858 47.5

Camden, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 482,568 63.1 60.7 75.6 254,833 1,788 38.7 111,290 887 48.1Philadelphia, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,612,579 36.6 47.9 69.0 687,718 1,640 35.9 452,782 845 47.6Wilmington, DE-MD-NJ . . . . . . . . . . . . . . . . . . . . . . . . 278,009 58.3 60.3 72.3 135,093 1,495 30.7 70,533 884 45.3

Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . . 1,616,971 63.5 56.5 68.8 742,635 1,458 37.1 443,480 838 45.9

Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,643 69.1 54.4 65.8 14,373 806 27.4 13,003 578 45.1Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,103,382 67.2 53.4 72.1 423,361 1,184 28.9 274,698 607 43.0Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,824 63.4 53.2 68.0 23,944 1,325 32.2 17,656 642 42.0Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,275 66.1 68.7 70.5 14,876 987 26.5 9,346 538 46.6Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . . . 251,855 66.1 62.1 72.2 106,493 1,498 37.2 57,784 797 44.9Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . . . 872,231 63.0 59.6 64.8 408,718 1,612 38.7 287,571 786 47.6

Port St. Lucie, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198,870 61.0 56.0 77.1 74,661 1,485 48.7 36,046 983 51.5Poughkeepsie-Newburgh-Middletown, NY . . . . . . . . . . . . . 244,318 63.4 62.5 71.2 116,401 1,985 42.3 64,870 982 48.8Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101,254 64.2 62.5 72.1 37,469 1,239 41.8 23,496 791 48.0Providence-New Bedford-Fall River, RI-MA. . . . . . . . . . . . . 673,621 54.3 56.2 63.5 279,022 1,745 40.4 223,895 805 45.7Provo-Orem, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135,663 68.5 75.8 69.4 68,444 1,365 34.9 39,415 703 43.1Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,059 74.5 61.0 69.8 28,341 1,152 38.6 17,749 610 51.8






Housing units

Totalhousing

units


age)

With2 or

morevehicles

available(percent-

age)


Owner-shiprate


Number

Medianmonthly

rent(dol.)

Unitswith

rent 30percent or

more ofhousehold

income(percent-

age)Number

Medianmonthly

ownercosts(dol.)

Units withcosts 30

percent ormore of

householdincome

(percent-age)

Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,860 67.9 51.8 83.4 33,655 1,296 49.5 11,667 935 49.8Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,116 68.5 61.4 70.8 38,593 1,409 33.8 21,930 679 44.4Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410,304 62.9 64.1 68.4 203,241 1,412 26.3 118,538 775 41.8Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,797 61.2 69.1 70.1 21,680 1,197 33.4 14,166 633 36.8Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159,367 55.0 61.4 74.1 72,475 1,349 32.7 38,721 680 42.5Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,486 68.5 65.5 64.7 29,716 1,485 44.3 24,249 786 52.2

Reno-Sparks, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174,952 58.1 60.6 60.3 72,380 1,737 43.6 62,259 878 45.7Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 501,143 70.7 63.3 69.4 237,479 1,416 30.2 140,279 814 42.8Riverside-San Bernardino-Ontario, CA. . . . . . . . . . . . . . . . 1,396,984 68.0 66.0 67.6 643,882 1,896 51.9 397,593 1,006 54.2Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138,148 72.1 62.8 73.1 58,864 1,113 27.6 33,276 625 37.8Rochester, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,070 71.8 65.2 78.8 40,108 1,358 26.4 14,917 659 37.6Rochester, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 440,249 65.3 57.2 69.7 191,967 1,295 29.2 121,128 716 51.6

Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141,601 70.8 60.0 73.6 67,903 1,246 33.0 33,432 644 45.3Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,599 64.5 56.7 63.1 23,418 1,055 34.0 21,048 592 42.0Rome, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,471 74.2 60.3 69.4 14,464 1,059 33.8 10,563 614 48.6Sacramento—Arden-Arcade—Roseville, CA . . . . . . . . . . . . 834,657 66.6 62.0 63.4 372,763 2,008 47.7 277,093 955 52.5Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . . . 88,644 74.3 58.7 75.8 37,786 1,104 31.8 18,838 618 50.9St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,745 70.0 68.2 73.5 34,854 1,316 31.9 18,346 639 44.3

St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,008 69.2 68.0 71.4 19,998 1,270 39.6 12,326 875 46.2St. Joseph, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,241 73.5 60.6 69.8 19,843 970 23.2 14,090 542 42.7St. Louis, MO-IL2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,210,977 69.3 58.9 73.3 559,121 1,258 28.5 291,668 683 44.3Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144,193 64.3 61.8 64.6 61,953 1,385 38.5 48,129 680 47.2Salinas, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138,516 62.4 63.3 54.4 49,945 2,357 56.7 56,585 1,069 48.4Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,165 70.2 57.7 65.6 19,247 1,242 34.5 15,001 793 40.8

Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385,001 65.3 66.0 70.2 192,113 1,407 34.4 105,173 751 42.4San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,352 71.0 56.4 68.3 16,039 963 28.5 13,141 622 42.2San Antonio, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 737,734 68.2 58.5 66.4 290,906 1,182 29.1 221,867 706 42.6San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . . . 1,124,016 51.9 61.9 57.3 457,503 2,309 51.9 445,008 1,155 53.3Sandusky, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,334 71.6 61.3 73.4 15,194 1,252 29.2 8,489 626 43.7

San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . . . 1,679,545 50.3 54.5 58.1 693,672 2,700 51.8 652,156 1,204 46.9Oakland-Fremont-Hayward, CA. . . . . . . . . . . . . . . . . . . 948,687 59.3 60.7 63.1 438,619 2,557 52.0 325,415 1,144 50.1San Francisco-San Mateo-Redwood City, CA . . . . . . . . . 730,858 38.6 46.3 51.6 255,053 2,993 51.5 326,741 1,289 43.7

San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . . . 627,714 55.9 65.6 60.8 281,381 2,844 49.3 234,645 1,282 44.3San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . . . 114,020 65.9 66.1 59.2 43,438 2,093 52.5 42,044 1,077 54.9Santa Barbara-Santa Maria-Goleta, CA . . . . . . . . . . . . . . . 150,711 58.7 61.6 54.5 53,825 2,362 53.2 63,790 1,194 56.2

Santa Cruz-Watsonville, CA. . . . . . . . . . . . . . . . . . . . . . . 102,311 63.6 64.5 60.0 41,087 2,609 56.1 37,368 1,197 56.5Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,613 62.8 63.5 72.2 25,365 1,441 39.3 14,738 889 47.7Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . . . . . . . . . . 195,525 69.0 64.7 63.1 81,734 2,356 54.5 65,394 1,162 51.8Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139,800 64.2 57.8 63.5 55,961 1,249 34.9 45,018 809 50.1Scranton—Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . 257,475 62.5 53.8 69.2 88,719 1,150 32.1 69,859 573 39.3

Seattle-Tacoma-Bellevue, WA . . . . . . . . . . . . . . . . . . . . 1,383,945 59.5 60.1 63.6 638,305 1,875 41.1 471,012 881 44.6Seattle-Bellevue-Everett, WA . . . . . . . . . . . . . . . . . . . . 1,075,014 58.4 59.1 63.5 498,857 1,945 41.1 368,303 899 44.0Tacoma, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308,931 63.2 63.5 64.1 139,448 1,649 41.1 102,709 819 46.7

Sebastian-Vero Beach, FL. . . . . . . . . . . . . . . . . . . . . . . . 73,890 63.9 53.3 75.5 24,967 1,347 44.1 14,252 927 59.4Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,587 66.6 62.8 72.7 23,090 1,253 29.3 12,620 591 36.4Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . . . . . . . 51,127 74.5 59.7 70.5 17,535 1,127 30.6 12,955 662 38.6Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . . . 170,219 66.7 53.1 65.5 58,270 996 27.1 51,185 605 42.0

Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,458 73.9 62.8 70.4 23,336 1,052 25.6 16,074 590 39.9Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,410 66.7 66.1 69.7 41,375 1,207 26.2 25,424 632 39.0South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . 138,500 77.0 59.3 73.5 61,579 1,056 27.8 32,231 675 41.7Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118,756 70.9 61.1 72.1 48,360 1,017 28.8 29,116 577 39.1Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191,605 66.9 61.4 65.5 82,645 1,214 32.2 61,697 649 47.4Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,512 71.8 56.0 71.2 41,829 1,152 24.1 24,852 614 42.9

Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282,404 57.1 52.0 64.5 115,454 1,445 33.9 93,075 718 49.3Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178,997 73.2 60.7 67.6 75,615 985 27.5 53,343 592 43.0Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,009 72.2 59.2 72.1 26,878 1,073 30.2 15,470 606 48.5State College, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,542 57.7 56.4 61.5 19,771 1,321 29.7 19,736 705 56.6Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222,697 71.1 65.5 63.0 100,974 1,995 52.9 76,798 908 52.6Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,510 60.3 57.0 67.2 15,776 920 28.9 12,721 574 35.4

Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284,620 63.4 53.6 68.1 113,048 1,215 26.7 80,805 663 45.0Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155,801 53.8 57.0 61.7 57,968 1,249 33.2 52,961 790 51.9Tampa-St. Petersburg-Clearwater, FL . . . . . . . . . . . . . . . . 1,290,211 55.3 51.3 70.9 514,195 1,391 42.2 323,596 833 49.7Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,431 74.4 60.6 70.5 30,135 911 23.1 19,775 554 43.1Texarkana, TX-Texarkana, AR . . . . . . . . . . . . . . . . . . . . . 57,185 69.3 58.0 66.2 17,022 909 24.2 17,078 578 40.1Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 298,159 67.5 57.8 69.0 124,633 1,240 29.8 81,004 619 46.5

Topeka, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,431 72.1 63.1 70.6 44,209 1,079 25.7 27,608 588 42.1Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139,751 49.5 56.9 69.5 62,186 2,063 37.4 38,861 971 48.4Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 417,065 57.0 52.4 65.3 165,111 1,259 35.3 128,492 686 48.0Tulsa, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 392,585 70.9 60.5 67.8 158,444 1,101 27.8 112,958 633 43.2Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92,795 61.3 59.0 63.0 30,978 1,095 29.6 29,780 617 47.0Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,558 68.2 60.8 69.5 27,319 1,162 30.3 21,074 693 50.9






Housing units

Totalhousing

units


age)

With2 or

morevehicles

available(percent-

age)


Owner-shiprate


Number

Medianmonthly

rent(dol.)

Unitswith

rent 30percent or

more ofhousehold

income(percent-

age)Number

Medianmonthly

ownercosts(dol.)

Units withcosts 30

percent ormore of

householdincome

(percent-age)

Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135,777 62.0 53.5 68.3 46,618 1,079 26.6 37,342 587 43.5Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,239 64.5 62.2 60.9 19,696 961 29.6 19,041 626 41.7Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148,456 70.7 67.4 66.8 74,307 2,232 51.9 45,070 1,127 55.9Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,792 71.2 59.8 67.9 14,825 1,043 25.0 13,570 634 39.1Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . 54,749 66.4 54.5 68.4 22,755 1,395 40.0 15,843 788 53.1

Virginia Beach-Norfolk-Newport News, VA-NC. . . . . . . . . . . 673,022 61.6 62.3 65.0 311,064 1,471 36.6 217,116 864 46.0Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,283 75.5 60.6 59.7 52,722 1,305 43.1 48,922 668 43.7Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90,883 67.6 57.9 61.8 27,998 1,129 29.1 30,919 683 49.8Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,780 68.9 61.2 67.7 24,308 1,123 22.9 15,651 687 42.0Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . 2,105,965 47.3 57.2 67.4 1,095,581 2,161 36.7 635,129 1,160 44.5

Bethesda-Frederick-Gaithersburg, MD . . . . . . . . . . . . . . 443,888 52.6 61.7 71.3 243,960 2,205 34.7 121,243 1,256 44.0Washington-Arlington-Alexandria, DC-VA-MD-WV. . . . . . . 1,662,077 45.9 56.0 66.3 851,621 2,149 37.3 513,886 1,136 46.7

Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . . . 70,005 74.2 64.4 72.4 30,117 1,011 24.3 18,162 583 48.1Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,034 76.8 69.0 77.2 26,107 1,220 27.0 11,923 609 34.8Weirton-Steubenville, WV-OH. . . . . . . . . . . . . . . . . . . . . . 59,533 76.6 57.3 73.3 19,221 872 25.7 14,167 523 38.7Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,636 64.6 67.3 69.2 17,353 1,214 34.2 12,052 604 37.7Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,562 73.1 56.2 72.3 23,423 851 24.6 17,264 459 38.6Wichita, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255,255 72.2 63.3 69.3 111,467 1,113 23.5 70,771 602 43.1

Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,484 73.0 60.7 65.7 20,611 1,045 23.9 19,407 640 44.4Williamsport, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,733 65.6 58.3 68.1 19,576 1,085 28.9 15,204 575 43.8Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188,586 61.7 60.4 67.2 64,561 1,212 34.4 46,858 756 46.6Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,992 71.3 69.3 73.2 22,348 1,369 33.2 12,030 867 39.8Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203,522 68.3 62.2 69.9 85,885 1,149 28.6 54,523 629 41.0Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313,907 56.8 58.9 68.7 145,145 1,777 36.4 90,062 811 44.7

Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82,188 64.1 67.5 65.0 32,928 1,140 36.7 26,864 602 42.6York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171,527 64.1 67.1 77.3 85,461 1,323 31.0 36,842 688 35.9Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . . . 262,142 74.6 57.1 73.6 104,664 1,044 30.0 61,727 554 44.7Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,514 70.0 67.1 61.9 24,001 1,639 46.1 20,651 755 46.7Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85,082 46.3 53.4 70.3 26,261 1,046 35.2 20,480 647 39.8

1The 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 whendata are available to do so. In many cases, the data will not be available.



Survey, Census, or Data Collection Method: Based on the American Community Survey; the 2005–2007 ACS 3-year estimates represent the average characteristics over the 3-year period oftime, for more information, see Appendix B, Limitations of the Data and Methodology, and also <http://www.census.gov/acs/www/AdvMeth/index.htm>.

Source: U.S. Census Bureau, American Community Survey, ‘‘DP3YR-4. Selected Housing Characteristics: 2005–2007’’ using American FactFinder, accessed February 1, 2009 (related Internetsite <http://factfinder.census.gov>).


Table B–11. Metropolitan Areas — Personal Income and Earnings by Place of Work



Personal income

Total(mil. dol.)

Per capita1

(dol.) Percent-age

2000–2007

Earnings(mil. dol.)

2007 2006 2005 2000 2007 2005 2000 2007 2006 2005 2000

Abilene, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,006 4,628 4,400 3,880 31,453 27,729 24,235 29.0 3,640 3,359 3,149 2,842Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25,561 24,462 23,366 20,593 36,564 33,361 29,589 24.1 18,305 17,581 16,933 14,087Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,240 4,085 3,990 3,371 25,863 24,643 21,370 25.8 3,138 3,063 3,029 2,545Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . . . 33,300 32,102 30,454 25,168 39,105 35,982 30,427 32.3 26,188 25,549 24,380 20,041Albuquerque, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,745 26,409 24,617 18,910 33,306 30,881 25,845 46.7 21,227 20,559 19,187 14,694Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,811 4,587 4,427 3,318 31,515 30,105 22,869 45.0 3,253 3,072 2,913 2,152

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . . . 29,721 28,022 26,320 22,220 37,036 33,537 29,951 33.8 19,822 18,804 17,852 14,527Altoona, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,811 3,605 3,483 3,057 30,405 27,669 23,695 24.7 2,851 2,707 2,650 2,313Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,715 7,177 6,851 5,565 31,864 28,829 24,504 38.6 5,998 5,583 5,264 4,266Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,895 2,707 2,534 2,067 33,937 30,958 25,795 40.1 2,376 2,240 2,117 1,697Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,669 14,904 13,827 10,330 43,514 39,379 32,242 51.7 12,545 12,029 11,355 7,979Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,925 3,829 3,646 3,305 29,926 27,917 24,795 18.8 2,170 2,180 2,134 1,933

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,234 5,008 4,674 4,037 29,084 26,826 24,275 29.6 3,026 2,939 2,800 2,450Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,234 13,473 13,061 11,541 40,906 37,965 35,567 23.3 13,018 12,599 12,355 10,704Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,488 3,246 3,082 2,382 30,907 27,529 21,396 46.4 2,639 2,449 2,319 1,713Appleton, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,041 7,524 7,127 5,873 36,912 33,285 29,000 36.9 6,206 5,910 5,720 4,491Asheville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,078 12,254 11,497 9,684 32,409 29,420 26,140 35.1 8,331 7,957 7,483 6,364Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . 5,268 4,977 4,711 3,785 28,274 26,341 22,678 39.2 4,028 3,842 3,680 2,900

Atlanta-Sandy Springs-Marietta, GA . . . . . . . . . . . . . . . . . 198,579 186,590 175,196 141,817 37,743 35,423 33,120 40.0 167,401 158,836 150,640 123,861Atlantic City-Hammonton, NJ . . . . . . . . . . . . . . . . . . . . . . 9,807 9,501 9,096 7,975 36,326 33,925 31,526 23.0 8,660 8,539 8,235 7,178Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,509 3,275 3,058 2,338 26,885 24,438 20,235 50.1 2,309 2,199 2,045 1,470Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . . . 16,159 15,393 14,674 11,963 30,586 28,379 23,917 35.1 11,806 11,375 11,052 8,909Austin-Round Rock, TX. . . . . . . . . . . . . . . . . . . . . . . . . . 59,306 55,636 51,059 41,157 37,239 34,863 32,518 44.1 50,522 47,587 43,811 36,686Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,325 19,927 18,649 13,891 27,090 24,906 20,936 53.5 16,798 15,673 14,712 10,446

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . . . 122,235 115,091 108,788 85,144 45,887 41,099 33,295 43.6 91,063 86,795 82,664 62,323Bangor, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,541 4,353 4,173 3,422 30,574 28,407 23,618 32.7 3,492 3,391 3,273 2,647Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,576 10,067 9,528 7,980 47,642 42,363 35,748 32.5 5,362 5,252 5,120 3,926Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,340 24,579 22,011 17,206 34,235 30,178 24,325 53.1 20,259 18,831 16,904 13,528Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,076 3,931 3,873 3,471 29,897 28,053 25,153 17.4 3,289 3,235 3,186 2,931Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,184 3,081 2,996 2,858 29,656 27,605 25,959 11.4 1,905 1,873 1,826 1,757

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . . . 12,425 11,783 10,938 9,169 33,006 28,760 23,837 35.5 9,546 9,075 8,150 6,900Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,441 5,939 5,444 4,063 33,485 29,398 24,227 58.5 4,455 4,141 3,897 2,735Bend, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,392 5,089 4,494 3,140 35,059 31,885 26,924 71.7 3,695 3,557 3,172 2,104Billings, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,675 5,230 4,897 3,651 37,966 33,497 26,249 55.4 4,310 3,991 3,769 2,709Binghamton, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,680 7,328 6,890 6,315 31,239 27,913 25,056 21.6 5,689 5,447 5,133 4,767Birmingham-Hoover, AL . . . . . . . . . . . . . . . . . . . . . . . . . 43,683 41,071 38,980 29,898 39,401 35,817 28,383 46.1 32,872 31,616 30,107 23,234

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,683 3,432 3,258 2,435 35,713 32,781 25,672 51.3 2,877 2,679 2,567 1,855Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . . . 4,151 3,969 3,686 3,040 26,380 23,871 20,066 36.5 3,268 3,146 2,983 2,442Bloomington, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,222 4,942 4,686 3,956 28,595 26,040 22,498 32.0 3,586 3,395 3,297 2,772Bloomington-Normal, IL. . . . . . . . . . . . . . . . . . . . . . . . . . 5,790 5,515 5,137 4,410 35,371 32,237 29,228 31.3 5,081 4,946 4,707 3,982Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,963 19,779 17,647 13,416 35,736 32,444 28,616 56.3 16,026 15,477 13,861 10,919

Boston-Cambridge-Quincy, MA-NH . . . . . . . . . . . . . . . . 240,085 225,660 209,954 182,380 53,443 47,128 41,430 31.6 203,346 192,285 182,045 159,341Boston-Quincy, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,165 94,067 87,490 73,221 53,487 47,278 40,314 36.8 97,635 92,275 87,354 74,624Cambridge-Newton-Framingham, MA. . . . . . . . . . . . . . . 86,390 80,973 75,367 68,074 58,777 51,550 46,336 26.9 73,512 68,681 64,918 59,331Peabody, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,478 33,451 30,967 27,302 48,429 42,388 37,640 29.9 20,195 19,533 18,659 16,386Rockingham County-Strafford County, NH. . . . . . . . . . . . 18,052 17,169 16,130 13,784 43,264 39,164 35,218 31.0 12,004 11,796 11,115 9,001

Boulder, CO2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,841 13,978 13,190 11,825 51,388 46,754 (X) (X) 12,222 11,617 11,048 11,012

Bowling Green, KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,463 3,269 3,055 2,455 29,931 27,434 23,498 41.1 2,799 2,652 2,500 1,959Bradenton-Sarasota-Venice, FL . . . . . . . . . . . . . . . . . . . . 33,054 31,488 28,844 21,027 48,254 43,207 35,481 57.2 15,301 15,391 14,408 10,384Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . . . 9,889 9,320 8,787 6,853 41,523 37,229 29,495 44.3 6,108 5,919 5,597 4,069Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . . . 72,651 67,497 61,573 52,190 81,576 69,041 59,006 39.2 51,781 48,810 45,841 38,586Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . . . 7,570 7,043 6,631 5,023 19,667 17,850 14,927 50.7 5,038 4,729 4,431 3,387Brunswick, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,477 3,295 3,063 2,411 34,256 31,398 25,862 44.2 2,109 2,062 1,916 1,483

Buffalo-Niagara Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . 39,471 38,047 36,299 31,806 35,038 31,833 27,206 24.1 29,482 28,570 27,259 23,643Burlington, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,282 4,063 3,801 3,431 29,574 27,251 26,091 24.8 2,830 2,756 2,621 2,420Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . . . 8,275 7,793 7,234 6,026 39,933 35,228 30,195 37.3 6,777 6,532 6,243 5,117Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . 12,607 12,052 11,713 10,749 30,930 28,740 26,412 17.3 8,334 8,072 8,010 7,310Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . . . . . . . 24,674 23,539 20,825 12,875 41,953 38,482 29,005 91.6 12,473 12,524 11,565 6,824Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,283 2,207 2,138 1,684 41,718 38,477 32,044 35.6 1,925 1,849 1,776 1,401

Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,772 3,413 2,944 2,257 52,547 42,416 33,907 67.1 2,722 2,497 2,169 1,671Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,311 8,651 8,216 7,112 36,879 33,243 29,903 30.9 7,681 7,126 6,811 5,903Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . . . 7,011 6,519 6,221 5,447 31,357 28,472 25,877 28.7 5,332 5,045 4,880 4,093Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,635 10,039 9,435 8,024 35,023 30,988 25,934 32.5 8,518 8,073 7,688 6,375Charleston-North Charleston-Summerville, SC . . . . . . . . . . 21,602 20,120 18,533 13,933 34,265 30,829 25,294 55.0 16,394 15,275 14,334 10,635Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . . . 64,591 60,661 55,973 43,120 39,231 36,861 32,172 49.8 57,147 54,371 49,899 38,499

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,989 7,570 6,876 5,333 41,576 36,642 30,520 49.8 5,898 5,570 5,204 3,997Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,125 16,231 15,213 12,863 33,304 30,287 26,955 33.1 13,145 12,655 12,038 10,064Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,749 3,500 3,191 2,293 43,351 37,407 28,044 63.5 2,661 2,547 2,318 1,651Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . . . 421,142 393,207 370,078 318,439 44,345 39,409 34,924 32.3 331,385 316,431 300,487 256,885

Chicago-Naperville-Joliet, IL . . . . . . . . . . . . . . . . . . . . . 352,543 328,753 309,268 265,916 44,458 39,411 34,790 32.6 284,738 272,654 259,057 223,072Gary, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,339 22,216 20,998 18,386 33,450 30,483 27,183 26.9 14,746 14,101 13,543 11,763Lake County-Kenosha County, IL-WI . . . . . . . . . . . . . . . 45,260 42,238 39,812 34,137 52,066 46,589 42,765 32.6 31,901 29,676 27,886 22,049



Table B–11. Metropolitan Areas — Personal Income and Earnings by Place of Work—Con.



Personal income

Total(mil. dol.)

Per capita1

(dol.) Percent-age

2000–2007

Earnings(mil. dol.)

2007 2006 2005 2000 2007 2005 2000 2007 2006 2005 2000

Chico, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,495 6,182 5,733 4,571 29,768 26,681 22,415 42.1 3,980 3,845 3,675 2,762Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . . . 80,997 76,953 73,561 61,393 37,782 35,009 30,474 31.9 61,569 59,090 57,436 47,265Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,370 8,002 7,368 5,305 31,965 29,289 22,798 57.8 6,768 6,539 6,007 4,089Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,209 3,066 2,948 2,333 28,933 27,311 22,366 37.6 2,212 2,164 2,121 1,640Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . . . 81,622 77,967 74,751 67,935 38,963 35,321 31,628 20.1 64,649 62,488 60,400 54,596Coeur d’Alene, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,123 3,832 3,531 2,521 30,720 27,860 23,011 63.6 2,587 2,440 2,213 1,574

College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . . . 5,417 5,087 4,723 3,673 26,659 24,053 19,806 47.5 4,173 3,948 3,684 2,820Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . 21,710 20,722 19,513 15,990 35,716 33,145 29,607 35.8 17,057 16,570 15,871 12,772Columbia, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,288 5,027 4,744 3,846 32,659 30,395 26,337 37.5 4,182 4,021 3,822 3,062Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24,211 23,011 21,253 17,429 33,829 30,769 26,849 38.9 19,221 18,424 17,237 13,970Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,789 9,191 8,705 6,740 34,121 30,227 23,891 45.2 7,436 7,100 6,737 5,433Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,756 2,610 2,397 2,183 36,955 32,805 30,442 26.2 2,596 2,460 2,302 2,105

Columbus, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,612 62,113 59,263 49,770 37,428 34,611 30,731 31.8 55,519 52,937 50,854 42,409Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,702 12,847 12,021 9,348 33,172 29,283 23,185 46.6 10,501 9,891 9,103 7,053Corvallis, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,954 2,800 2,642 2,259 36,401 33,253 28,897 30.7 2,176 2,104 2,020 1,697Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,691 2,566 2,473 2,100 27,099 24,843 20,619 28.1 1,722 1,667 1,611 1,325Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . 255,364 239,168 221,568 176,530 41,499 38,085 33,973 44.7 225,056 211,399 195,583 158,652

Dallas-Plano-Irving, TX . . . . . . . . . . . . . . . . . . . . . . . . 179,591 168,173 156,120 125,748 43,495 39,990 36,184 42.8 167,795 157,405 145,608 120,552Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . . . . . 75,773 70,995 65,448 50,782 37,428 34,199 29,506 49.2 57,260 53,995 49,974 38,100

Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,869 3,698 3,557 2,869 29,054 27,334 23,742 34.8 3,723 3,629 3,550 2,854Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,203 2,078 2,021 1,807 27,142 24,724 21,568 21.9 1,517 1,473 1,430 1,239Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,856 2,748 2,721 2,364 26,957 25,521 21,492 20.8 1,756 1,701 1,745 1,576Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . . . 13,601 12,702 12,084 10,173 36,208 32,391 27,070 33.7 10,445 9,866 9,441 7,727Dayton, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,596 27,694 26,452 24,210 34,090 31,375 28,548 18.1 22,532 22,276 21,565 19,400Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,812 4,566 4,334 3,462 32,296 29,493 23,705 39.0 3,193 3,059 2,959 2,326

Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,959 3,694 3,562 3,130 36,433 32,490 27,336 26.5 3,210 3,056 2,973 2,567Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . . . 15,179 14,695 13,730 10,381 30,374 28,268 23,327 46.2 7,655 7,502 7,015 5,078Denver-Aurora, CO2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,530 108,312 100,384 82,196 46,682 42,567 (X) (X) 95,902 91,915 86,028 70,027Des Moines-West Des Moines, IA. . . . . . . . . . . . . . . . . . . 22,330 20,940 19,704 15,219 40,922 37,631 31,498 46.7 19,339 18,239 17,233 12,976Detroit-Warren-Livonia, MI. . . . . . . . . . . . . . . . . . . . . . . 173,884 167,398 164,985 151,793 39,009 36,692 34,053 14.6 138,939 135,929 136,130 125,951

Detroit-Livonia-Dearborn, MI . . . . . . . . . . . . . . . . . . . . . 62,865 60,824 59,958 56,660 31,723 29,621 27,522 11.0 55,462 54,210 54,288 52,402Warren-Troy-Farmington Hills, MI . . . . . . . . . . . . . . . . . 111,019 106,574 105,027 95,133 44,840 42,482 39,659 16.7 83,477 81,719 81,842 73,549

Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,358 4,102 3,908 3,018 31,277 28,832 23,032 44.4 2,870 2,794 2,698 2,114Dover, DE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,487 4,256 4,012 3,021 29,577 28,016 23,766 48.5 3,544 3,376 3,251 2,300Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,092 2,907 2,757 2,293 33,501 30,305 25,699 34.8 2,578 2,457 2,378 1,886Duluth, MN-WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,977 8,484 8,070 7,000 32,792 29,440 25,403 28.2 6,486 6,147 5,933 5,048Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,568 17,247 16,158 12,997 38,845 35,284 30,501 42.9 19,575 17,971 16,596 14,282Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,959 4,668 4,393 3,804 31,476 28,390 25,581 30.4 3,785 3,611 3,428 2,927

El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,821 3,591 3,368 2,530 23,758 21,972 17,768 51.0 2,785 2,612 2,509 1,829Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,592 3,461 3,213 2,621 32,189 29,154 24,336 37.1 3,032 2,969 2,752 2,176Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,595 6,358 6,002 4,871 33,369 31,030 26,542 35.4 6,790 6,658 6,398 5,037Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,637 2,547 2,435 2,217 29,996 27,551 24,342 18.9 1,903 1,832 1,762 1,565El Paso, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,406 18,193 16,951 12,650 26,585 23,875 18,575 53.4 15,529 14,611 13,609 9,990Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,469 8,018 7,625 6,888 30,323 27,351 24,538 22.9 6,321 6,049 5,861 5,217

Eugene-Springfield, OR . . . . . . . . . . . . . . . . . . . . . . . . . 11,270 10,646 9,752 8,248 32,878 29,074 25,496 36.6 7,541 7,234 6,868 5,734Evansville, IN-KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,182 11,799 11,211 9,294 34,833 32,242 27,096 31.1 9,513 9,385 9,003 7,165Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,426 3,276 3,003 2,303 34,964 31,757 27,828 48.7 3,054 2,979 2,708 1,882Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,998 6,520 6,124 4,821 36,461 32,981 27,582 45.2 5,834 5,425 5,136 3,947Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,496 3,242 2,981 2,167 28,600 24,466 18,999 61.4 2,829 2,631 2,401 1,737Fayetteville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,304 11,341 10,710 7,823 35,046 31,057 23,223 57.3 10,912 10,092 9,482 6,688

Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . . . 13,728 12,744 11,698 7,979 31,585 28,686 22,828 72.0 10,682 10,105 9,608 6,403Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,057 3,797 3,512 2,662 31,857 28,174 22,808 52.4 2,972 2,778 2,580 1,911Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,457 12,183 11,844 11,550 28,701 26,973 26,439 7.9 8,309 8,441 8,256 8,380Florence, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,093 5,861 5,399 4,486 30,689 27,452 23,212 35.8 4,428 4,327 4,055 3,439Florence-Muscle Shoals, AL. . . . . . . . . . . . . . . . . . . . . . . 4,034 3,816 3,669 3,113 28,208 25,876 21,771 29.6 2,504 2,407 2,314 1,972Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,475 3,267 3,133 2,700 35,086 31,842 27,720 28.7 2,466 2,349 2,293 1,941

Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . . . 10,542 9,966 9,318 7,657 36,767 33,814 30,249 37.7 7,483 7,187 6,873 5,468Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,435 8,014 7,451 5,889 29,196 26,395 21,508 43.2 6,050 5,854 5,542 4,420Fort Walton Beach-Crestview-Destin, FL . . . . . . . . . . . . . . 7,091 6,862 6,403 4,611 39,158 34,940 26,969 53.8 5,763 5,650 5,353 3,522Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,575 12,989 12,281 11,211 33,176 30,539 28,671 21.1 11,035 10,649 10,233 9,411Fresno, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25,214 23,965 22,592 17,628 28,180 25,949 21,976 43.0 19,023 18,213 17,284 12,976Gadsden, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,922 2,778 2,681 2,212 28,347 26,173 21,412 32.1 1,670 1,627 1,594 1,369

Gainesville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,337 7,927 7,351 5,521 32,513 29,692 23,684 51.0 6,494 6,244 5,890 4,412Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,291 4,939 4,642 3,485 29,622 28,142 24,741 51.8 3,959 3,748 3,553 2,650Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,893 3,751 3,609 3,009 30,303 28,322 24,197 29.4 2,581 2,515 2,426 2,010Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,286 3,084 2,951 2,504 28,978 26,068 22,100 31.2 2,251 2,148 2,063 1,749Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,138 2,932 2,796 2,309 32,424 28,755 23,721 35.9 2,543 2,369 2,277 1,802Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,503 4,093 3,740 2,928 32,423 28,875 24,923 53.8 3,170 2,864 2,604 1,972

Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . . . 26,231 25,197 24,311 20,818 33,849 31,660 28,018 26.0 22,548 21,986 21,350 18,159Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,815 2,656 2,445 1,968 34,420 29,893 24,540 43.0 1,997 1,919 1,791 1,378Greeley, CO2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,385 6,025 5,673 4,586 26,314 25,063 (X) (X) 4,641 4,385 4,092 3,141Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,598 10,037 9,576 8,137 35,203 32,309 28,721 30.2 8,811 8,481 8,220 6,852Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . . . 23,504 22,323 21,135 18,138 33,783 31,392 28,102 29.6 19,145 18,446 17,561 15,398Greenville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,199 4,783 4,490 3,667 30,080 27,390 23,941 41.8 3,588 3,350 3,153 2,692






Personal income

Total(mil. dol.)

Per capita1

(dol.) Percent-age

2000–2007

Earnings(mil. dol.)

2007 2006 2005 2000 2007 2005 2000 2007 2006 2005 2000

Greenville-Mauldin-Easley, SC . . . . . . . . . . . . . . . . . . . . . 19,895 18,823 17,388 15,073 32,478 29,536 26,827 32.0 15,728 14,976 14,199 12,529Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,370 7,124 6,388 5,827 36,131 24,901 23,606 43.7 6,205 5,696 5,280 4,753Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . . . 8,282 7,781 7,259 5,454 31,788 29,093 24,399 51.9 5,184 5,051 4,793 3,643Hanford-Corcoran, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 3,471 3,284 3,065 2,118 23,416 21,358 16,317 63.9 2,784 2,628 2,431 1,595Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . . . 19,858 18,929 18,148 15,143 37,618 34,917 29,728 31.1 18,569 17,809 17,283 13,987Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,357 3,198 2,990 2,385 28,587 26,192 22,028 40.7 2,872 2,732 2,593 2,026

Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . . . 57,343 53,892 50,449 42,568 48,330 42,797 36,986 34.7 48,625 46,113 44,388 36,322Hattiesburg, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,772 3,619 3,251 2,555 27,241 24,678 20,550 47.6 2,773 2,667 2,402 1,836Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . . . 10,458 10,013 9,627 8,636 29,085 27,231 25,170 21.1 7,460 7,346 7,049 6,751Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . . . 1,767 1,662 1,591 1,192 24,635 21,552 16,601 48.3 2,319 2,162 2,041 1,286Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . . . 8,472 8,109 7,759 6,678 32,779 30,519 27,886 26.9 5,930 5,909 5,882 5,214Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,835 35,766 33,457 26,605 42,014 37,188 30,404 42.2 30,422 29,118 27,423 20,880

Hot Springs, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,058 2,867 2,645 2,118 31,773 28,381 23,973 44.4 1,574 1,529 1,460 1,170Houma-Bayou Cane-Thibodaux, LA . . . . . . . . . . . . . . . . . 7,217 6,513 5,291 4,198 35,902 26,788 21,594 71.9 5,495 4,866 3,994 2,949Houston-Sugar Land-Baytown, TX . . . . . . . . . . . . . . . . . . 260,140 238,608 215,113 161,398 46,471 40,565 34,053 61.2 227,769 207,989 187,326 141,783Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . . . 8,062 7,667 7,242 6,204 28,393 25,465 21,513 30.0 5,639 5,365 5,131 4,258Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,120 13,145 12,256 9,477 36,550 33,199 27,567 49.0 13,148 12,469 11,564 8,822Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,767 3,496 3,273 2,321 31,620 29,245 22,741 62.3 2,392 2,212 2,037 1,726

Indianapolis-Carmel, IN. . . . . . . . . . . . . . . . . . . . . . . . . . 65,096 62,302 58,743 48,862 38,456 35,752 31,913 33.2 54,431 52,556 50,077 41,065Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,305 4,913 4,657 3,815 36,165 32,728 28,869 39.0 4,516 4,212 4,013 3,160Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,067 2,925 2,797 2,321 30,548 28,002 24,012 32.1 2,724 2,629 2,515 2,017Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,623 4,434 4,363 3,966 28,413 26,837 24,986 16.6 3,127 3,041 3,032 2,667Jackson, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,191 17,514 16,093 12,668 34,079 30,869 25,425 43.6 13,986 13,482 12,696 10,003Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,392 3,253 3,138 2,664 30,181 28,356 24,762 27.3 3,013 2,938 2,834 2,423

Jacksonville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,862 48,583 44,089 33,151 39,191 35,334 29,436 53.4 37,640 36,502 33,647 25,939Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,753 5,157 4,881 3,437 35,222 30,712 22,949 67.4 5,043 4,496 4,225 2,882Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,924 4,772 4,419 3,993 30,891 28,256 26,183 23.3 3,500 3,500 3,204 2,921Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,530 4,324 4,174 3,445 31,205 29,106 24,554 31.5 3,726 3,577 3,492 2,786Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,476 5,175 4,848 3,893 28,330 25,679 21,390 40.7 3,796 3,628 3,457 2,760Johnstown, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,208 3,989 3,844 3,413 29,021 26,192 22,425 23.3 2,699 2,574 2,484 2,141

Jonesboro, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,102 2,945 2,792 2,248 26,846 24,818 20,787 38.0 2,203 2,131 2,069 1,686Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,660 4,427 4,217 3,533 27,245 25,423 22,404 31.9 3,563 3,411 3,253 2,701Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . . 10,543 9,997 9,649 8,325 32,708 30,110 26,398 26.6 7,724 7,445 7,286 6,276Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,256 3,040 2,896 2,571 29,192 26,708 24,747 26.7 2,008 1,920 1,854 1,651Kansas City, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,717 73,539 68,960 58,247 39,222 35,594 31,608 33.4 63,693 60,516 57,588 47,828Kennewick-Pasco-Richland, WA . . . . . . . . . . . . . . . . . . . . 6,998 6,491 6,259 4,756 30,706 28,664 24,682 47.1 5,634 5,227 5,160 3,700

Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . . 12,573 11,440 10,460 7,459 33,912 29,527 22,465 68.6 10,494 9,525 8,579 5,923Kingsport-Bristol-Bristol, TN-VA . . . . . . . . . . . . . . . . . . . . 9,018 8,601 8,012 6,834 29,732 26,699 22,900 32.0 6,347 6,148 5,784 4,759Kingston, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,183 5,916 5,510 4,546 34,049 30,371 25,555 36.0 3,190 3,094 2,821 2,369Knoxville, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,754 21,518 20,200 16,569 33,430 30,721 26,830 37.3 18,537 17,786 16,791 13,229Kokomo, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,248 3,119 2,970 2,929 32,586 29,538 28,850 10.9 3,009 2,917 2,803 2,917La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,308 4,091 3,890 3,303 32,877 30,090 26,002 30.4 3,362 3,241 3,116 2,614

Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,528 5,229 4,993 4,393 28,979 27,011 24,563 25.8 4,646 4,427 4,321 3,704Lafayette, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,738 8,997 7,863 6,048 37,999 31,806 25,296 61.0 8,396 7,663 6,713 5,126Lake Charles, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,665 6,016 4,423 4,313 34,735 22,804 22,293 54.5 4,969 4,696 4,060 3,399Lake Havasu City-Kingman, AZ . . . . . . . . . . . . . . . . . . . . 4,683 4,524 4,167 2,908 23,908 22,422 18,621 61.0 2,374 2,374 2,168 1,446Lakeland-Winter Haven, FL . . . . . . . . . . . . . . . . . . . . . . . 17,951 17,140 15,850 11,517 31,330 29,468 23,730 55.9 10,600 10,472 9,827 7,198Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,239 16,416 15,776 13,570 34,620 32,269 28,763 27.0 12,478 12,052 11,802 10,067Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . . . 14,756 14,182 13,619 12,067 32,426 29,845 26,905 22.3 12,266 11,947 11,472 10,180

Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,959 4,588 4,309 2,934 21,423 19,483 15,079 69.0 3,913 3,650 3,462 2,324Las Cruces, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,972 4,628 4,370 3,120 25,105 23,081 17,829 59.4 3,248 3,049 2,905 1,989Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . . . 71,622 67,833 62,786 41,239 39,188 36,869 29,600 73.7 55,632 52,824 49,035 32,791Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,443 3,268 3,028 2,423 30,362 27,152 24,166 42.1 2,224 2,155 2,070 1,633Lawton, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,628 3,446 3,115 2,453 31,844 27,847 21,388 47.9 2,988 2,864 2,565 1,970Lebanon, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,363 4,128 3,901 3,175 34,123 31,243 26,369 37.4 2,408 2,280 2,163 1,717

Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,859 1,737 1,654 1,419 31,032 28,052 24,478 31.0 1,271 1,205 1,150 1,004Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,399 3,254 3,126 2,532 31,855 29,329 24,382 34.2 2,364 2,255 2,153 1,744Lexington-Fayette, KY . . . . . . . . . . . . . . . . . . . . . . . . . . 16,618 15,634 14,471 12,388 37,251 33,476 30,240 34.2 14,335 13,607 12,841 10,979Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,103 2,985 2,887 2,633 29,515 27,352 24,250 17.8 2,782 2,736 2,665 2,305Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,267 9,699 9,283 7,775 35,252 32,618 29,020 32.1 8,259 7,921 7,679 6,229Little Rock-North Little Rock-Conway, AR . . . . . . . . . . . . . . 25,120 23,050 21,412 16,498 37,737 33,183 26,952 52.3 19,692 18,137 17,120 13,425

Logan, UT-ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,810 2,626 2,538 1,932 23,194 21,766 18,721 45.4 2,088 1,915 1,850 1,363Longview, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,953 6,445 5,945 4,775 34,217 29,818 24,617 45.6 5,437 4,992 4,529 3,343Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,814 2,660 2,507 2,202 28,079 26,052 23,677 27.8 2,064 1,960 1,862 1,638Los Angeles-Long Beach-Santa Ana, CA . . . . . . . . . . . . 540,510 518,758 481,124 385,053 42,278 37,543 31,050 40.4 437,527 426,311 403,183 321,659

Los Angeles-Long Beach-Glendale, CA . . . . . . . . . . . . . 390,296 373,322 346,053 279,050 39,794 35,147 29,238 39.9 319,269 309,496 292,793 239,837Santa Ana-Anaheim-Irvine, CA . . . . . . . . . . . . . . . . . . . 150,214 145,436 135,071 106,004 50,463 45,489 37,104 41.7 118,258 116,814 110,390 81,822

Louisville/Jefferson County, KY-IN . . . . . . . . . . . . . . . . . . . 46,179 43,725 40,745 34,250 37,474 33,751 29,397 34.8 35,319 33,692 31,932 26,291Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,105 7,701 7,357 6,055 30,233 28,016 24,210 33.8 6,024 5,809 5,529 4,622Lynchburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,567 7,276 6,734 5,626 31,057 28,538 24,578 34.5 5,170 4,988 4,712 3,963Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,236 7,002 6,726 5,662 31,484 29,554 25,461 27.8 4,812 4,847 4,757 4,076Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,548 3,281 3,129 2,265 24,359 22,342 18,330 56.6 2,466 2,242 2,180 1,410Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,588 22,224 20,715 16,469 42,557 38,371 32,675 43.2 19,601 18,781 17,893 13,540






Personal income

Total(mil. dol.)

Per capita1

(dol.) Percent-age

2000–2007

Earnings(mil. dol.)

2007 2006 2005 2000 2007 2005 2000 2007 2006 2005 2000

Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . . . 17,496 16,574 15,625 13,770 43,624 39,240 36,013 27.1 13,997 13,376 12,825 10,717Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,495 3,430 3,352 3,024 27,767 26,407 23,480 15.6 2,599 2,642 2,607 2,347McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . . . 12,922 11,930 11,244 7,793 18,317 16,854 13,588 65.8 9,073 8,432 7,862 5,305Medford, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,670 6,322 5,796 4,531 33,517 29,835 24,924 47.2 4,311 4,166 3,980 2,971Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,515 45,138 42,665 34,459 37,147 34,056 28,520 37.9 39,818 38,350 36,518 29,084Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,108 5,613 5,409 4,134 25,010 22,724 19,541 47.8 3,960 3,587 3,545 2,498

Miami-Fort Lauderdale-Pompano Beach, FL . . . . . . . . . . 232,522 222,600 205,655 157,015 43,123 38,258 31,237 48.1 150,691 146,767 137,632 104,396Fort Lauderdale-Pompano Beach-Deerfield Beach, FL . . . 71,995 69,719 66,091 50,138 41,169 37,473 30,722 43.6 45,935 45,115 42,371 30,445Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . . . . 85,979 82,481 75,090 57,922 36,081 31,862 25,639 48.4 68,006 66,015 61,636 47,915West Palm Beach-Boca Raton-Boynton Beach, FL . . . . . . 74,548 70,400 64,474 48,955 59,147 51,373 43,116 52.3 36,749 35,637 33,624 26,035

Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . . . . 3,192 3,048 2,921 2,683 28,946 26,763 24,356 19.0 2,156 2,066 2,029 1,822Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,688 6,047 5,203 4,092 52,970 43,178 35,439 63.4 5,369 4,824 4,100 3,116

Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . . . 64,473 61,082 57,060 49,151 41,774 37,193 32,718 31.2 50,909 49,272 46,690 39,586Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . . . 149,497 140,157 132,709 109,818 46,753 42,377 36,833 36.1 122,157 115,581 111,141 92,025Missoula, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,548 3,310 3,106 2,343 33,586 30,409 24,362 51.4 2,839 2,690 2,564 1,885Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,681 11,199 10,071 8,638 28,906 25,310 21,594 35.2 9,328 9,026 8,150 6,887Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,756 14,076 13,472 10,573 28,986 26,954 23,510 39.6 9,934 9,581 9,388 6,968Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,357 5,114 4,728 3,839 31,104 27,665 22,575 39.5 3,818 3,659 3,504 2,829

Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,961 4,786 4,651 4,281 32,355 30,550 29,243 15.9 2,521 2,526 2,448 2,225Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,490 11,861 11,189 8,865 34,128 31,420 25,547 40.9 9,712 9,448 8,873 6,872Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,696 3,469 3,236 2,449 31,443 27,916 22,024 50.9 2,998 2,817 2,656 1,912Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,458 3,308 3,131 2,621 25,758 24,122 21,212 31.9 2,371 2,318 2,247 1,884Mount Vernon-Anacortes, WA . . . . . . . . . . . . . . . . . . . . . 4,297 4,002 3,615 2,823 37,076 32,287 27,288 52.2 2,812 2,672 2,496 1,859Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,180 3,093 3,059 2,898 27,612 26,235 24,409 9.7 2,233 2,189 2,194 2,138

Muskegon-Norton Shores, MI. . . . . . . . . . . . . . . . . . . . . . 4,680 4,533 4,407 3,943 26,880 25,339 23,130 18.7 3,158 3,120 3,067 2,737Myrtle Beach-North Myrtle Beach-Conway, SC . . . . . . . . . . 7,068 6,754 6,120 4,740 28,305 26,812 23,925 49.1 5,023 4,894 4,475 3,402Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,750 6,264 5,858 4,714 51,221 45,042 37,848 43.2 4,605 4,366 4,247 3,152Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . . . 19,847 18,663 16,455 10,012 63,277 53,866 39,412 98.2 8,030 7,905 7,425 4,788Nashville-Davidson—Murfreesboro—Franklin, TN . . . . . . . . 59,059 55,842 51,733 40,309 38,851 35,693 30,595 46.5 50,725 48,493 44,890 34,023New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . . . 37,424 35,339 33,203 28,379 44,322 39,522 34,400 31.9 25,532 24,606 23,755 20,063

New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . . . 49,142 42,038 24,914 34,606 44,296 18,984 26,305 42.0 33,794 31,504 27,066 26,546New York-Northern New Jersey-Long Island, NY-NJ-PA . . 1,000,151 935,656 865,850 732,799 52,855 46,026 39,927 36.5 793,649 742,253 692,327 590,616

Edison-New Brunswick, NJ. . . . . . . . . . . . . . . . . . . . . . 115,548 108,801 101,115 86,490 50,001 44,065 39,630 33.6 77,377 73,888 69,626 59,077Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . 157,211 148,937 139,750 116,298 54,877 48,860 42,141 35.2 88,980 84,838 80,183 65,354Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . . . 117,463 111,090 103,298 89,531 55,436 48,675 42,622 31.2 86,452 83,647 79,354 68,148New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . . . 609,929 566,828 521,687 440,480 52,454 45,227 38,944 38.5 540,840 499,880 463,165 398,037

Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . 5,121 4,821 4,650 4,239 32,138 29,056 26,083 20.8 3,585 3,398 3,289 3,050Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . . . 11,478 10,959 10,388 8,514 43,515 39,170 32,803 34.8 9,079 8,704 8,440 6,616Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,827 9,320 8,330 5,894 30,322 27,634 22,645 66.7 4,793 4,736 4,260 3,056Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,051 3,964 3,832 3,239 42,054 38,881 31,664 25.1 2,147 2,135 2,096 1,565Odessa, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,114 3,689 3,247 2,546 31,790 26,112 21,104 61.6 3,436 3,002 2,559 1,943Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,872 14,974 13,833 10,772 30,670 28,148 24,215 47.3 10,532 10,033 9,250 7,008

Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,179 42,677 38,544 29,092 38,833 33,386 26,500 58.7 36,228 33,854 30,830 23,139Olympia, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,108 8,482 7,850 6,093 38,242 34,509 29,253 49.5 5,722 5,327 4,972 3,851Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . . . 34,476 32,462 30,638 24,230 41,654 37,817 31,506 42.3 27,283 26,052 24,497 19,372Orlando-Kissimmee, FL. . . . . . . . . . . . . . . . . . . . . . . . . . 70,047 67,103 61,591 44,751 34,529 31,822 27,011 56.5 57,160 55,301 51,840 37,140Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,904 5,546 5,181 4,431 36,601 32,493 28,208 33.2 5,069 4,853 4,691 4,040Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,403 3,232 3,078 2,698 30,388 27,792 24,530 26.1 2,431 2,335 2,257 1,992

Oxnard-Thousand Oaks-Ventura, CA. . . . . . . . . . . . . . . . . 36,210 34,505 32,127 25,364 45,693 40,741 33,532 42.8 23,032 22,260 21,422 15,896Palm Bay-Melbourne-Titusville, FL . . . . . . . . . . . . . . . . . . 18,839 18,245 16,975 12,865 35,213 32,267 26,932 46.4 12,186 12,101 11,499 8,471Palm Coast, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,731 2,480 2,139 1,194 30,971 28,392 23,623 128.7 785 786 723 396Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . . 5,415 5,285 4,920 3,522 33,108 30,472 23,756 53.8 3,934 3,905 3,645 2,487Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . . . 4,700 4,481 4,262 3,785 29,251 26,368 23,015 24.2 3,444 3,311 3,178 2,797Pascagoula, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,961 4,227 3,853 3,303 32,609 24,845 21,867 50.2 3,144 2,916 2,676 2,380Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . . . 14,156 13,607 12,556 9,703 31,361 28,241 23,484 45.9 9,131 8,933 8,311 6,571

Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,160 13,244 12,282 10,257 38,188 33,434 27,978 38.1 11,039 10,520 9,785 7,631Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . 264,952 251,381 235,631 193,919 45,499 40,720 34,063 36.6 201,579 193,526 183,963 147,285

Camden, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,639 48,669 45,862 37,035 40,542 37,053 31,164 36.7 33,804 32,813 31,324 23,967Philadelphia, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184,343 174,153 162,921 135,225 47,480 42,131 35,105 36.3 142,880 136,329 129,366 105,105Wilmington, DE-MD-NJ . . . . . . . . . . . . . . . . . . . . . . . . 29,970 28,559 26,848 21,659 43,329 39,372 33,192 38.4 24,895 24,385 23,272 18,213

Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . . 146,577 140,540 128,077 92,975 35,185 33,066 28,357 57.7 115,165 111,628 101,803 74,842

Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,640 2,541 2,455 2,046 25,982 23,689 19,075 29.1 1,867 1,837 1,805 1,500Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,007 91,566 85,636 74,361 41,207 36,097 30,614 30.5 72,466 68,793 65,310 55,368Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,228 4,989 4,766 4,082 40,205 36,328 30,283 28.1 3,424 3,344 3,259 2,739Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,368 2,247 2,140 1,732 27,041 24,842 20,819 36.7 1,709 1,633 1,573 1,301Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . . . 20,300 19,109 18,008 14,576 39,621 35,235 29,788 39.3 14,844 14,183 13,634 10,796Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . . . 84,151 79,015 73,288 62,190 38,842 35,115 32,121 35.3 66,117 62,737 58,721 50,158

Port St. Lucie, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,884 14,881 13,537 9,650 39,822 36,035 30,103 64.6 7,011 6,668 6,210 3,993Poughkeepsie-Newburgh-Middletown, NY . . . . . . . . . . . . . 25,216 23,898 22,581 18,378 37,713 34,103 29,448 37.2 14,750 14,334 13,756 10,721Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,860 5,568 5,098 3,574 27,618 25,830 21,164 64.0 2,894 2,794 2,509 1,748Providence-New Bedford-Fall River, RI-MA. . . . . . . . . . . . . 62,763 59,631 56,519 45,976 39,267 35,106 28,974 36.5 41,382 40,144 38,489 30,517Provo-Orem, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,335 10,641 9,784 7,433 21,680 21,098 19,566 52.5 8,966 8,291 7,502 5,725Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,214 3,980 3,820 3,262 27,244 25,517 22,996 29.2 2,698 2,521 2,417 2,050






Personal income

Total(mil. dol.)

Per capita1

(dol.) Percent-age

2000–2007

Earnings(mil. dol.)

2007 2006 2005 2000 2007 2005 2000 2007 2006 2005 2000

Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,333 5,152 4,741 3,650 34,975 30,958 25,658 46.1 2,132 2,164 1,972 1,428Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,118 6,750 6,388 5,439 35,766 32,460 28,781 30.9 4,422 4,263 4,114 3,460Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,103 37,505 34,313 27,062 39,372 36,002 33,644 51.9 30,509 28,339 25,958 20,109Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,361 4,043 3,868 2,918 36,255 32,771 25,818 49.5 3,004 2,845 2,755 2,107Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,020 13,327 12,339 10,778 34,921 31,373 28,780 30.1 9,730 9,278 8,666 7,522Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,827 5,586 5,189 4,005 32,541 29,227 24,452 45.5 3,759 3,655 3,503 2,575

Reno-Sparks, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,535 17,663 16,835 12,418 45,330 42,756 36,019 49.3 13,052 12,571 11,815 9,203Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,791 46,458 43,399 33,603 40,286 36,995 30,545 45.2 38,784 36,893 35,248 27,140Riverside-San Bernardino-Ontario, CA. . . . . . . . . . . . . . . . 117,134 111,762 103,716 74,787 28,804 26,789 22,815 56.6 74,517 72,267 67,960 44,693Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,412 9,992 9,460 7,808 35,134 32,418 27,068 33.4 8,233 7,929 7,570 6,255Rochester, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,345 6,910 6,501 5,103 40,737 36,952 31,040 43.9 6,389 6,044 5,817 4,351Rochester, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,231 36,770 35,179 30,455 37,028 33,997 29,233 25.5 29,237 28,444 27,443 23,558

Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,970 10,294 9,600 8,722 31,230 28,302 27,170 25.8 8,287 7,961 7,504 6,862Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,309 4,100 3,937 3,422 29,649 27,378 23,921 25.9 3,128 3,019 2,946 2,558Rome, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,785 2,682 2,592 2,110 29,204 27,518 23,240 32.0 1,952 1,930 1,844 1,546Sacramento—Arden-Arcade—Roseville, CA . . . . . . . . . . . . 80,006 76,563 71,855 54,236 38,424 35,355 29,989 47.5 62,807 60,932 58,065 41,927Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . . . 5,801 5,654 5,534 5,374 28,679 26,805 25,599 7.9 4,631 4,708 4,587 4,670St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,814 5,499 5,207 4,219 31,335 28,715 25,112 37.8 4,798 4,545 4,368 3,383

St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,205 3,072 2,776 1,752 24,017 23,313 19,199 82.9 2,224 2,110 1,844 1,089St. Joseph, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,592 3,393 3,201 2,816 28,546 25,904 22,712 27.6 2,661 2,493 2,333 1,988St. Louis, MO-IL3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110,191 104,204 98,872 84,222 39,277 35,653 31,175 30.8 82,365 79,246 76,067 64,391Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,698 11,057 10,139 8,515 30,376 27,272 24,454 37.4 7,978 7,622 7,137 5,775Salinas, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,694 15,774 14,654 12,097 41,256 36,015 30,011 38.0 11,846 11,383 10,973 8,515Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,616 3,403 3,267 2,503 30,294 28,198 22,838 44.5 2,712 2,586 2,466 1,831

Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,442 37,790 34,814 27,081 36,008 33,286 27,843 45.6 37,115 34,473 31,667 25,207San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,370 3,193 3,078 2,523 31,103 28,862 23,843 33.6 2,324 2,240 2,170 1,757San Antonio, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,179 62,964 58,568 45,997 33,845 31,168 26,754 46.1 51,706 48,744 45,310 36,092San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . . . 131,500 125,472 118,458 92,654 44,430 40,406 32,793 41.9 103,406 99,977 94,997 71,859Sandusky, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,718 2,645 2,569 2,280 35,225 33,027 28,645 19.2 1,949 1,967 1,942 1,691

San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . . . 257,111 241,664 222,666 199,989 60,983 53,556 48,338 28.6 194,548 185,884 176,262 160,175Oakland-Fremont-Hayward, CA. . . . . . . . . . . . . . . . . . . 127,158 120,874 112,216 98,209 51,516 45,956 40,857 29.5 87,028 84,773 80,766 65,964San Francisco-San Mateo-Redwood City, CA . . . . . . . . . 129,953 120,790 110,450 101,780 74,353 64,372 58,711 27.7 107,520 101,111 95,497 94,212

San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . . . 105,999 98,252 89,615 92,947 59,338 51,418 53,419 14.0 103,991 96,863 88,940 102,261San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . . . 9,977 9,489 8,727 6,801 38,114 33,855 27,437 46.7 6,272 6,094 5,810 4,269Santa Barbara-Santa Maria-Goleta, CA . . . . . . . . . . . . . . . 19,020 17,810 16,308 12,911 47,303 40,610 32,292 47.3 12,428 11,918 11,609 8,938

Santa Cruz-Watsonville, CA. . . . . . . . . . . . . . . . . . . . . . . 12,116 11,465 10,463 10,015 48,337 41,919 39,142 21.0 6,478 6,350 5,982 5,535Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,006 5,647 5,333 3,846 42,186 38,315 29,625 56.2 3,970 3,780 3,536 2,392Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . . . . . . . . . . 21,416 20,382 18,854 16,778 46,326 40,783 36,440 27.6 12,839 12,582 12,156 10,433Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,897 11,099 10,232 7,879 36,127 32,568 26,831 51.0 8,531 8,040 7,417 5,756Scranton—Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . 18,355 17,428 16,696 14,643 33,430 30,453 26,171 25.3 12,681 12,120 11,784 10,118

Seattle-Tacoma-Bellevue, WA . . . . . . . . . . . . . . . . . . . . 162,935 149,858 136,859 115,203 49,401 42,804 37,741 41.4 134,735 125,143 115,196 100,027Seattle-Bellevue-Everett, WA . . . . . . . . . . . . . . . . . . . . 133,985 122,708 111,831 95,786 53,061 45,679 40,786 39.9 115,647 107,438 98,725 88,081Tacoma, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,950 27,150 25,028 19,417 37,446 33,406 27,582 49.1 19,088 17,705 16,471 11,946

Sebastian-Vero Beach, FL. . . . . . . . . . . . . . . . . . . . . . . . 7,810 7,217 6,320 4,208 59,416 49,930 37,113 85.6 2,663 2,548 2,359 1,723Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,310 4,080 3,876 3,249 37,739 34,101 28,822 32.6 3,425 3,297 3,179 2,577Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . . . . . . . 3,412 3,209 3,026 2,559 28,899 26,182 23,057 33.3 2,168 2,087 1,990 1,815Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . . . 13,507 12,728 11,661 9,064 34,857 30,575 24,100 49.0 10,263 9,716 8,971 6,802

Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,575 4,239 4,154 3,712 32,141 29,499 25,961 23.2 3,616 3,342 3,294 3,019Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,751 8,078 7,675 5,648 38,552 35,752 29,995 54.9 6,975 6,502 6,218 4,655South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . 10,953 10,491 9,962 8,315 34,636 31,579 26,233 31.7 7,953 7,631 7,375 5,924Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,975 7,607 7,144 6,190 28,970 26,930 24,331 28.8 6,517 6,263 5,890 5,111Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,601 13,652 12,685 10,890 32,019 28,801 26,004 34.1 11,340 10,691 9,992 8,494Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,457 7,011 6,763 5,996 36,148 32,994 29,742 24.4 5,953 5,706 5,605 4,850

Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24,454 23,260 22,196 18,766 35,598 32,359 27,579 30.3 15,840 15,303 14,846 12,415Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,343 11,658 11,060 8,792 29,416 27,622 23,777 40.4 9,410 8,934 8,557 6,642Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,244 4,114 3,951 3,735 30,251 27,912 25,819 13.6 2,312 2,298 2,227 2,344State College, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,562 4,293 4,037 3,266 31,732 28,542 24,032 39.7 3,879 3,686 3,526 2,778Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,195 18,292 17,190 13,757 28,740 26,210 24,219 39.5 12,785 12,267 11,843 8,739Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,868 2,743 2,586 2,150 27,575 24,688 20,545 33.4 2,132 2,067 1,987 1,649

Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,190 21,204 20,276 17,566 34,458 31,365 27,033 26.3 17,375 16,671 15,994 13,753Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,375 10,808 10,172 7,958 32,185 29,782 24,764 42.9 8,788 8,445 8,070 6,535Tampa-St. Petersburg-Clearwater, FL . . . . . . . . . . . . . . . . 99,253 95,334 88,623 68,891 36,554 33,607 28,653 44.1 69,577 67,661 63,670 49,340Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,661 4,454 4,281 3,771 27,400 25,315 22,079 23.6 3,359 3,202 3,122 2,661Texarkana, TX-Texarkana, AR . . . . . . . . . . . . . . . . . . . . . 4,031 3,784 3,596 2,885 30,032 27,191 22,245 39.7 2,850 2,685 2,563 2,002Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,681 20,838 19,956 18,305 33,316 30,497 27,769 18.4 17,337 16,836 16,240 14,532

Topeka, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,641 7,186 6,825 6,023 33,470 30,063 26,792 26.9 5,601 5,261 5,165 4,516Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,008 17,871 16,506 13,872 52,255 45,550 39,461 37.0 17,127 16,461 15,392 11,936Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,647 30,170 27,814 20,514 31,755 29,354 24,175 54.3 20,678 19,970 18,508 13,987Tulsa, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,356 34,544 31,261 24,984 41,307 35,484 29,006 49.5 28,738 26,921 24,508 19,700Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,674 6,273 5,817 4,517 32,636 29,359 23,353 47.8 5,094 4,902 4,521 3,313Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,872 6,467 6,134 4,922 34,715 32,296 28,047 39.6 5,310 5,057 4,785 3,847






Personal income

Total(mil. dol.)

Per capita1

(dol.) Percent-age

2000–2007

Earnings(mil. dol.)

2007 2006 2005 2000 2007 2005 2000 2007 2006 2005 2000

Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,800 8,433 8,086 7,047 29,926 27,419 23,535 24.9 6,190 5,933 5,651 4,846Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,445 3,261 3,112 2,485 26,508 24,675 20,751 38.6 2,558 2,444 2,337 1,799Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,083 14,358 13,603 10,953 37,055 33,401 27,592 37.7 8,539 8,216 7,854 5,756Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,785 3,550 3,331 2,809 33,342 29,686 25,164 34.7 2,944 2,783 2,574 2,155Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . 4,600 4,410 4,187 3,421 29,600 27,467 23,375 34.5 3,426 3,337 3,227 2,542

Virginia Beach-Norfolk-Newport News, VA-NC. . . . . . . . . . . 61,139 58,509 54,643 41,659 36,838 33,129 26,362 46.8 49,976 47,878 45,256 33,354Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,865 10,077 9,585 7,219 25,920 23,658 19,579 50.5 7,632 7,055 6,846 4,900Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,773 6,402 6,113 4,862 29,731 27,289 22,710 39.3 5,209 4,967 4,775 3,720Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,004 3,817 3,582 2,714 30,571 28,473 24,391 47.6 3,719 3,523 3,290 2,300Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . 291,473 276,062 259,040 196,093 54,971 49,607 40,673 48.6 262,358 250,178 237,335 175,230

Bethesda-Frederick-Gaithersburg, MD . . . . . . . . . . . . . . 73,457 68,603 64,409 50,002 63,019 56,034 46,557 46.9 48,823 46,627 44,065 32,638Washington-Arlington-Alexandria, DC-VA-MD-WV. . . . . . . 218,016 207,459 194,631 146,091 52,703 47,792 38,987 49.2 213,535 203,551 193,270 142,592

Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . . . 5,472 5,122 4,924 4,056 33,555 30,356 24,785 34.9 4,391 4,119 3,995 3,131Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,564 4,314 4,105 3,431 35,166 32,179 27,247 33.0 3,688 3,527 3,391 2,735Weirton-Steubenville, WV-OH. . . . . . . . . . . . . . . . . . . . . . 3,473 3,329 3,221 2,937 28,339 25,707 22,314 18.2 2,196 2,102 2,080 1,934Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,295 3,096 2,901 2,378 30,873 28,101 23,932 38.6 2,301 2,192 2,073 1,612Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,393 4,185 4,040 3,540 30,138 27,399 23,161 24.1 2,913 2,844 2,778 2,252Wichita, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,951 21,824 19,671 15,918 38,552 33,695 27,828 44.2 18,411 17,641 15,975 12,766

Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,135 4,848 4,439 3,712 34,715 29,646 24,490 38.3 3,830 3,645 3,334 2,742Williamsport, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,522 3,352 3,223 2,762 30,145 27,387 23,024 27.5 2,564 2,468 2,404 2,021Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,974 10,154 9,447 7,118 32,393 29,870 25,805 54.2 7,152 6,722 6,245 4,770Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,900 3,760 3,459 2,649 32,256 29,877 25,577 47.2 2,895 2,819 2,648 1,958Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,378 15,406 14,708 12,412 35,480 32,995 29,321 31.9 11,886 11,486 10,997 9,511Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,365 30,460 28,489 24,539 41,380 36,636 32,604 31.9 20,351 19,562 18,701 16,557

Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,488 6,093 5,768 4,916 27,963 25,274 22,073 32.0 4,592 4,347 4,121 3,381York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,349 13,638 13,055 11,019 34,133 32,146 28,791 30.2 9,612 9,197 9,080 7,540Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . . . 17,278 16,789 16,082 14,806 30,285 27,686 24,588 16.7 11,536 11,399 10,946 10,155Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,500 4,289 4,002 3,094 27,556 25,873 22,185 45.4 2,891 2,773 2,597 1,927Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,320 4,086 3,798 2,654 22,784 21,099 16,513 62.8 3,247 3,084 2,860 1,942

X Not applicable.

1Based on resident population estimated as of July 1 of the year shown.2The 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,



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>. Metropolitan area figures are computed by the Census Bureau using the sum of component county totals. Rounding mayresult in discrepancies with BEA’s metropolitan area figures.

Survey, Census, or Data Collection Method: Based on the Regional Economic Information System (REIS); for more information, see Appendix B, Limitations of the Data and Methodology, andInternet site <http://www.bea.gov/regional/methods.cfm/>.

Source: U.S. Bureau of Economic Analysis, Local Area Personal Income (related Internet site <http://www.bea.gov/regional/reis/>).


Table B–12. Metropolitan Area — Employees and Earnings by Selected Major Industries:2007



Employees Earnings

Total1

Percentage by selected major industries

Total1(mil.dol.)


Manu-fac-

turing

Financeand

insur-ance

Profes-sional

andtech-nical

services

Healthcareand

socialservices

Govern-mentand

govern-ment

enter-prises

Manu-fac-

turing

Financeand

insur-ance

Profes-sional

andtech-nical

services

Healthcareand

socialservices

Govern-mentand

govern-ment

enter-prises

Abilene, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,765 3.7 4.8 (D) (D) 18.3 3,640 4.2 5.0 (D) (D) 27.8Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 420,101 11.6 3.4 5.5 11.5 12.3 18,305 18.4 4.5 6.7 11.3 14.1Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82,800 (D) (D) (D) (D) 18.0 3,138 (D) (D) (D) (D) 25.7Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . . . 542,608 (D) 5.1 7.6 12.1 19.9 26,188 (D) 6.9 11.2 10.8 26.4Albuquerque, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 512,964 5.1 3.6 8.8 (D) 16.4 21,227 8.4 4.5 13.2 (D) 23.7Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82,753 5.9 3.3 4.0 (D) 19.2 3,253 12.0 3.0 5.0 (D) 26.2

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . . . 429,293 9.5 4.2 (D) 13.5 10.2 19,822 14.2 4.6 (D) 14.3 11.5Altoona, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,894 10.5 2.8 4.2 15.0 12.5 2,851 14.2 3.4 5.1 17.0 15.7Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153,962 (D) (D) (D) (D) 12.7 5,998 (D) (D) (D) (D) 16.0Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,510 8.5 2.3 4.0 6.9 34.3 2,376 16.9 2.0 4.6 7.1 41.0Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232,175 1.4 3.4 6.9 11.0 20.2 12,545 1.8 4.1 8.7 9.9 28.7Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,023 8.4 2.9 3.2 13.9 13.6 2,170 29.4 2.6 2.7 13.4 15.7

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,784 15.9 2.2 3.1 6.8 14.4 3,026 32.0 2.4 3.0 7.4 19.2Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242,201 7.6 2.0 9.5 10.8 28.5 13,018 15.0 2.1 14.4 9.5 29.5Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,657 11.4 2.0 3.8 7.7 21.8 2,639 16.6 1.9 4.3 8.0 34.9Appleton, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151,210 15.7 6.2 4.5 (D) 8.2 6,206 23.6 8.9 5.1 (D) 10.5Asheville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247,876 8.8 2.6 4.8 (D) 11.2 8,331 14.9 3.6 5.7 (D) 16.7Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . 112,562 8.8 2.3 4.5 (D) 23.8 4,028 14.3 2.9 3.8 (D) 32.2

Atlanta-Sandy Springs-Marietta, GA . . . . . . . . . . . . . . . . . 3,225,474 5.7 (D) (D) (D) 10.8 167,401 8.3 (D) (D) (D) 11.9Atlantic City-Hammonton, NJ . . . . . . . . . . . . . . . . . . . . . . 186,974 2.3 2.5 4.3 10.0 12.6 8,660 3.0 2.5 5.9 11.2 18.3Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,493 10.3 2.3 4.3 5.6 23.7 2,309 16.0 2.7 3.6 6.2 35.3Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . . . 297,140 8.2 2.7 (D) (D) 19.6 11,806 12.4 3.0 (D) (D) 29.7Austin-Round Rock, TX. . . . . . . . . . . . . . . . . . . . . . . . . . 1,040,219 6.1 4.8 9.0 7.5 15.5 50,522 13.4 5.8 12.2 7.7 16.9Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 368,276 3.9 2.6 4.7 8.6 16.8 16,798 5.4 2.4 5.3 7.8 25.3

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . . . 1,696,992 4.4 4.7 8.7 12.2 15.8 91,063 6.8 6.8 12.7 10.9 22.5Bangor, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,214 5.0 2.6 4.5 16.6 15.8 3,492 8.7 3.3 4.6 20.2 20.4Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 143,131 1.6 3.1 6.5 12.3 10.9 5,362 2.6 3.8 8.5 16.0 18.2Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474,906 5.7 (D) (D) (D) 17.0 20,259 12.2 (D) (D) (D) 19.8Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,150 19.5 2.2 2.4 12.9 14.5 3,289 30.9 2.2 2.2 11.4 20.1Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,159 8.5 3.2 5.5 13.9 12.4 1,905 16.1 3.1 12.4 14.2 17.2

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . . . 211,062 11.2 3.2 5.2 11.0 12.5 9,546 24.3 2.5 9.6 9.8 13.6Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,529 8.4 2.6 5.6 9.8 13.8 4,455 14.3 3.6 5.8 10.4 17.6Bend, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101,540 6.5 3.7 6.0 10.0 8.0 3,695 8.7 4.9 7.4 14.6 12.4Billings, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109,215 3.6 4.1 (D) 12.2 9.1 4,310 7.6 5.3 (D) 15.3 13.2Binghamton, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139,021 13.4 3.5 4.7 12.4 17.0 5,689 23.8 4.0 5.1 12.6 21.7Birmingham-Hoover, AL . . . . . . . . . . . . . . . . . . . . . . . . . 679,452 6.8 5.9 (D) (D) 12.9 32,872 9.9 8.7 (D) (D) 14.4

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,610 3.9 4.7 5.3 (D) 15.8 2,877 7.9 5.2 6.0 (D) 20.4Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . . . 84,946 15.6 1.9 (D) (D) 23.6 3,268 27.0 2.1 (D) (D) 30.0Bloomington, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104,402 9.5 2.3 4.6 (D) 23.5 3,586 14.6 2.4 5.4 (D) 28.7Bloomington-Normal, IL. . . . . . . . . . . . . . . . . . . . . . . . . . 111,321 5.4 12.1 (D) 8.5 13.3 5,081 6.9 21.8 (D) 8.5 13.3Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . 383,529 8.7 (D) (D) (D) 11.5 16,026 16.1 (D) (D) (D) 13.9

Boston-Cambridge-Quincy, MA-NH . . . . . . . . . . . . . . . . 3,121,730 6.9 6.4 10.6 12.4 9.9 203,346 10.3 13.2 16.0 10.6 10.2Boston-Quincy, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,388,242 3.9 9.4 9.4 14.3 10.7 97,635 4.7 21.9 13.7 12.4 10.9Cambridge-Newton-Framingham, MA. . . . . . . . . . . . . . . 1,072,510 8.6 3.9 14.0 10.3 8.4 73,512 14.6 5.0 21.4 7.8 8.5Peabody, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403,183 11.4 3.9 8.2 13.5 10.4 20,195 20.7 4.7 11.2 13.1 12.1Rockingham County-Strafford County, NH. . . . . . . . . . . . 257,795 8.8 4.6 6.9 9.3 10.7 12,004 12.4 7.0 9.2 9.5 11.7

Boulder, CO2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233,995 8.2 3.9 15.1 9.2 12.7 12,222 15.0 4.4 22.2 7.9 13.5

Bowling Green, KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,626 (D) (D) (D) 10.6 13.8 2,799 (D) (D) (D) 12.2 16.4Bradenton-Sarasota-Venice, FL . . . . . . . . . . . . . . . . . . . . 414,920 4.5 4.5 6.4 10.6 7.0 15,301 7.2 6.2 10.2 13.2 10.9Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . . . 128,018 1.6 2.7 6.1 10.0 31.1 6,108 1.8 3.0 5.4 8.9 53.0Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . . . 612,451 7.1 9.8 9.1 10.7 8.0 51,781 11.7 25.3 10.9 7.0 6.4Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . . . 169,772 4.7 2.8 2.7 18.5 17.1 5,038 6.8 3.2 3.4 19.3 28.0Brunswick, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,975 5.2 (D) (D) 7.5 17.4 2,109 9.1 (D) (D) 8.9 29.0

Buffalo-Niagara Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . 646,649 9.7 5.5 6.1 12.2 14.4 29,482 18.5 6.6 7.4 11.1 19.3Burlington, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83,167 14.2 2.8 3.4 10.0 8.8 2,830 20.6 3.9 4.0 12.4 11.1Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . . . 151,105 10.2 (D) 7.2 (D) 13.6 6,777 17.4 (D) 9.5 (D) 17.9Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . 224,102 14.1 4.0 (D) (D) 9.8 8,334 22.9 4.9 (D) (D) 12.9Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . . . . . . . 315,542 2.4 3.9 5.6 7.2 11.7 12,473 3.1 4.2 6.6 9.0 17.1Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,296 7.2 6.1 4.9 6.3 24.8 1,925 9.5 6.4 5.9 8.2 36.0

Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,927 4.1 3.4 4.7 11.1 11.2 2,722 4.7 3.1 4.5 10.7 12.2Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174,093 12.9 6.0 (D) (D) 9.8 7,681 24.5 7.9 (D) (D) 10.9Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . . . 142,287 7.6 3.3 5.1 (D) 26.4 5,332 10.4 3.1 6.2 (D) 34.0Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179,958 3.7 4.4 5.9 (D) 16.1 8,518 6.9 4.7 8.3 (D) 18.0Charleston-North Charleston-Summerville, SC . . . . . . . . . . 395,368 5.8 3.0 (D) 7.6 17.5 16,394 9.8 4.5 (D) 8.4 25.2Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . . . 1,093,237 7.8 7.2 (D) (D) 10.4 57,147 11.5 13.4 (D) (D) 10.5

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136,525 3.5 2.5 (D) (D) 24.0 5,898 5.1 4.4 (D) (D) 33.0Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . . . 319,757 11.4 5.9 (D) (D) 11.8 13,145 15.0 8.6 (D) (D) 16.1Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,750 2.9 3.8 4.4 7.7 27.1 2,661 6.1 4.5 4.7 7.3 39.7Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . . . 5,731,460 8.7 6.1 (D) (D) 10.7 331,385 12.3 10.2 (D) (D) 11.4

Chicago-Naperville-Joliet, IL . . . . . . . . . . . . . . . . . . . . . 4,856,226 8.2 6.4 (D) 10.1 10.3 284,738 10.6 11.0 (D) 8.1 11.0Gary, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349,599 11.2 2.8 4.2 (D) 11.9 14,746 23.1 2.6 4.4 (D) 12.6Lake County-Kenosha County, IL-WI . . . . . . . . . . . . . . . 525,635 11.9 5.7 6.7 8.2 13.1 31,901 22.6 6.7 7.5 6.5 14.0



Table B–12. Metropolitan Area — Employees and Earnings by Selected Major Industries:2007—Con.



Employees Earnings

Total1


Total1(mil.dol.)


Manu-fac-

turing

Financeand

insur-ance

Profes-sional

andtech-nical

services

Healthcareand

socialservices

Govern-mentand

govern-ment

enter-prises

Manu-fac-

turing

Financeand

insur-ance

Profes-sional

andtech-nical

services

Healthcareand

socialservices

Govern-mentand

govern-ment

enter-prises

Chico, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109,819 4.6 3.9 5.1 14.0 14.9 3,980 5.2 5.6 5.9 16.8 21.9Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . . . 1,299,773 (D) (D) (D) (D) 10.9 61,569 (D) (D) (D) (D) 12.4Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145,725 9.6 1.9 (D) (D) 33.2 6,768 12.0 1.7 (D) (D) 54.9Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,345 17.5 3.4 3.0 (D) 11.2 2,212 26.0 6.3 3.6 (D) 12.1Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . . . 1,319,938 11.2 5.3 6.6 12.7 11.3 64,649 17.6 7.4 9.6 11.2 13.9Coeur d’Alene, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,527 6.1 3.8 5.1 8.4 12.7 2,587 8.6 4.9 6.8 10.4 18.4

College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . . . 119,440 5.5 2.6 (D) (D) 28.0 4,173 8.1 2.8 (D) (D) 35.5Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . 376,687 (D) 5.2 8.1 7.5 20.2 17,057 (D) 4.9 12.2 7.2 31.2Columbia, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,792 4.2 4.2 4.2 (D) 27.2 4,182 6.0 5.4 4.0 (D) 37.1Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 465,146 6.9 5.7 (D) (D) 19.7 19,221 9.7 7.7 (D) (D) 26.2Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171,232 6.6 (D) (D) (D) 24.8 7,436 8.9 (D) (D) (D) 37.2Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,715 29.4 3.0 3.9 7.6 11.7 2,596 47.8 4.1 4.1 7.1 10.9

Columbus, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,188,592 6.7 6.0 (D) (D) 14.1 55,519 10.7 8.6 (D) (D) 16.8Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242,477 4.9 3.5 4.7 (D) 15.9 10,501 10.4 3.1 6.2 (D) 22.2Corvallis, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,534 9.3 2.0 7.0 11.0 25.7 2,176 22.2 2.0 6.8 12.3 27.2Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,720 9.4 2.2 2.8 16.0 16.8 1,722 15.0 2.2 2.7 17.8 25.5Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . 3,926,078 8.0 6.5 (D) (D) 9.7 225,056 14.0 8.7 (D) (D) 9.7

Dallas-Plano-Irving, TX . . . . . . . . . . . . . . . . . . . . . . . . 2,752,204 7.6 7.2 (D) 7.7 9.6 167,795 13.2 9.8 (D) 7.7 9.0Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . . . . . 1,173,874 8.9 4.9 5.5 (D) 10.1 57,260 16.2 5.6 6.6 (D) 11.9

Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90,617 33.1 1.7 (D) 5.5 8.7 3,723 43.1 1.5 (D) 6.4 9.6Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,377 14.9 4.5 (D) 9.9 15.2 1,517 22.3 4.4 (D) 9.7 23.5Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,434 14.4 2.9 (D) 11.1 13.1 1,756 26.1 3.0 (D) 12.1 17.8Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . . . 236,615 11.1 4.0 3.8 (D) 12.0 10,445 16.5 4.3 6.2 (D) 16.4Dayton, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 498,695 10.9 3.9 (D) 12.3 14.4 22,532 16.8 4.7 (D) 12.5 22.2Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,551 18.1 3.1 (D) (D) 12.5 3,193 39.8 3.0 (D) (D) 13.8

Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,687 17.9 3.3 3.2 12.3 9.4 3,210 32.4 2.6 3.8 11.8 9.5Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . . . 223,354 4.9 3.1 4.8 12.7 11.2 7,655 7.0 3.7 5.7 16.2 16.8Denver-Aurora, CO2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,663,133 (D) (D) 9.2 (D) 11.1 95,902 (D) (D) 12.7 (D) 11.9Des Moines-West Des Moines, IA. . . . . . . . . . . . . . . . . . . 406,874 4.9 13.5 5.0 (D) 10.8 19,339 6.3 22.6 6.3 (D) 12.9Detroit-Warren-Livonia, MI. . . . . . . . . . . . . . . . . . . . . . . 2,455,222 11.0 4.6 (D) 12.1 9.7 138,939 19.5 5.5 (D) 9.9 10.8

Detroit-Livonia-Dearborn, MI . . . . . . . . . . . . . . . . . . . . . 954,077 10.2 3.7 7.2 13.7 12.6 55,462 18.8 4.2 11.2 10.5 13.8Warren-Troy-Farmington Hills, MI . . . . . . . . . . . . . . . . . 1,501,145 11.4 5.1 (D) 11.0 7.9 83,477 20.0 6.4 (D) 9.5 8.8

Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82,050 9.6 2.7 (D) (D) 14.1 2,870 12.6 3.3 (D) (D) 17.8Dover, DE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,426 (D) 3.2 (D) 10.3 25.9 3,544 (D) 3.2 (D) 10.1 39.7Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,457 14.0 5.3 3.2 11.9 7.2 2,578 23.1 6.7 3.7 13.5 8.5Duluth, MN-WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164,107 5.8 3.6 3.8 17.0 16.3 6,486 8.0 7.4 4.1 18.4 20.5Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366,759 11.5 3.6 9.7 13.0 15.9 19,575 25.8 4.8 12.3 11.5 18.0Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,321 11.2 4.8 3.7 12.6 11.4 3,785 16.3 5.6 4.6 15.5 15.3

El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,143 3.9 2.0 2.5 6.0 24.9 2,785 4.5 2.1 2.1 4.4 40.2Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,344 9.1 3.1 3.6 7.3 28.4 3,032 13.2 3.2 3.1 6.4 47.2Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155,098 41.3 2.0 2.4 7.2 5.9 6,790 53.7 1.9 2.6 7.0 6.2Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,150 13.3 2.9 3.2 14.9 14.7 1,903 21.0 3.4 3.0 15.4 21.5El Paso, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373,882 6.0 3.2 3.7 9.4 21.0 15,529 11.8 2.8 3.6 9.1 30.9Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164,039 14.8 4.1 3.6 14.8 11.1 6,321 24.5 6.3 4.1 15.4 14.6

Eugene-Springfield, OR . . . . . . . . . . . . . . . . . . . . . . . . . 205,744 9.8 3.1 5.2 11.9 14.3 7,541 14.3 3.9 5.7 13.7 18.4Evansville, IN-KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211,911 15.4 2.6 (D) (D) 8.9 9,513 24.6 2.5 (D) (D) 9.3Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,209 1.6 2.0 (D) 8.6 34.5 3,054 1.6 1.8 (D) 7.2 50.3Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147,843 6.4 5.9 5.1 (D) 12.2 5,834 8.5 7.2 6.6 (D) 15.5Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,667 2.9 2.0 3.0 9.3 17.7 2,829 3.5 1.9 2.8 8.6 19.6Fayetteville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215,991 4.6 1.9 3.4 7.6 40.0 10,912 5.5 1.4 3.2 4.8 64.1

Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . . . 268,754 12.4 2.9 (D) (D) 11.1 10,682 13.3 3.3 (D) (D) 13.8Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85,848 4.9 2.4 4.5 9.7 19.1 2,972 8.5 2.1 4.6 13.4 30.7Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203,936 8.5 3.7 4.3 14.2 12.9 8,309 20.0 5.6 5.7 14.6 16.9Florence, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,425 12.5 5.8 3.5 (D) 15.1 4,428 23.6 7.6 4.2 (D) 17.8Florence-Muscle Shoals, AL. . . . . . . . . . . . . . . . . . . . . . . 74,700 10.3 3.1 (D) 7.3 17.4 2,504 16.0 3.5 (D) 9.4 27.0Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,436 18.5 3.7 3.0 9.7 9.8 2,466 32.3 3.8 2.9 11.1 11.5

Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . . . 191,396 6.9 3.6 8.9 9.2 14.4 7,483 14.0 3.3 13.1 10.7 18.9Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164,143 16.6 2.6 (D) (D) 12.2 6,050 20.5 2.5 (D) (D) 15.1Fort Walton Beach-Crestview-Destin, FL . . . . . . . . . . . . . . 130,560 3.6 3.5 6.9 6.9 23.8 5,763 4.8 3.7 9.1 5.9 43.5Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262,836 14.7 4.5 (D) (D) 8.6 11,035 21.7 6.1 (D) (D) 10.2Fresno, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 457,157 6.5 3.9 4.4 9.6 15.0 19,023 9.4 4.4 5.2 11.5 22.0Gadsden, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,747 11.8 3.0 3.0 14.6 12.3 1,670 19.1 3.8 3.3 18.7 16.4

Gainesville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168,334 3.2 3.5 6.3 (D) 26.4 6,494 4.1 4.5 6.6 (D) 38.4Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,189 17.8 3.9 3.6 9.9 11.0 3,959 23.5 4.2 3.3 12.6 12.7Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,698 10.2 3.4 (D) 12.5 16.0 2,581 16.0 4.2 (D) 13.8 22.0Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,069 10.3 2.5 2.5 13.4 23.3 2,251 13.2 2.5 2.3 12.7 35.9Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,794 6.6 2.7 3.2 (D) 22.4 2,543 8.5 3.0 3.6 (D) 31.7Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,453 4.3 4.1 4.9 11.3 10.7 3,170 5.2 4.5 5.2 13.3 15.9

Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . . . 489,447 15.1 4.9 (D) 11.6 7.5 22,548 25.0 6.4 (D) 11.0 9.5Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,552 2.0 4.4 4.1 12.9 18.1 1,997 2.7 5.7 5.8 15.6 30.1Greeley, CO2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117,976 9.1 4.9 4.1 7.9 12.9 4,641 12.7 5.6 4.2 8.2 14.1Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208,268 15.2 6.2 4.1 (D) 10.2 8,811 19.9 7.0 5.1 (D) 11.8Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . . . 458,079 14.3 4.8 (D) 9.6 10.0 19,145 19.1 6.6 (D) 10.5 12.1Greenville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101,993 7.2 2.7 3.0 11.8 23.8 3,588 12.7 3.2 3.3 12.2 35.6






Employees Earnings

Total1


Total1(mil.dol.)


Manu-fac-

turing

Financeand

insur-ance

Profes-sional

andtech-nical

services

Healthcareand

socialservices

Govern-mentand

govern-ment

enter-prises

Manu-fac-

turing

Financeand

insur-ance

Profes-sional

andtech-nical

services

Healthcareand

socialservices

Govern-mentand

govern-ment

enter-prises

Greenville-Mauldin-Easley, SC . . . . . . . . . . . . . . . . . . . . . 390,589 11.3 3.4 (D) (D) 11.5 15,728 16.5 4.9 (D) (D) 14.7Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151,197 4.3 2.6 4.2 (D) 22.4 6,205 6.2 2.4 5.4 (D) 36.6Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . . . 127,104 8.4 5.9 4.1 (D) 14.4 5,184 13.7 7.7 5.4 (D) 21.7Hanford-Corcoran, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 62,548 7.4 1.7 1.7 7.6 31.5 2,784 10.0 1.3 1.5 7.0 49.0Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . . . 398,522 6.4 6.3 5.6 10.7 16.9 18,569 8.8 8.2 7.6 11.7 21.8Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,456 14.9 2.1 3.5 8.3 13.2 2,872 21.6 2.6 4.6 9.6 16.4

Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . . . 800,275 9.7 9.9 6.6 12.3 12.7 48,625 14.4 18.2 9.0 10.5 14.6Hattiesburg, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82,490 6.1 3.3 (D) 10.2 19.5 2,773 9.2 3.3 (D) 16.4 26.4Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . . . 211,436 24.4 2.2 2.8 9.2 12.2 7,460 31.7 2.4 2.8 10.2 15.0Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . . . 39,770 (D) (D) 3.2 (D) 59.3 2,319 (D) (D) 2.6 (D) 80.5Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . . . 141,425 25.8 2.5 3.9 6.7 10.1 5,930 38.0 2.8 4.3 5.4 12.6Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 624,499 2.2 3.4 5.5 8.7 23.6 30,422 2.3 3.7 6.8 8.7 36.2

Hot Springs, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,323 5.4 3.1 4.7 14.8 9.9 1,574 7.8 3.5 5.0 21.7 16.3Houma-Bayou Cane-Thibodaux, LA . . . . . . . . . . . . . . . . . 123,759 8.9 2.5 3.3 7.4 11.7 5,495 13.1 2.5 3.3 7.5 11.0Houston-Sugar Land-Baytown, TX . . . . . . . . . . . . . . . . . . 3,396,144 7.3 4.3 (D) (D) 10.7 227,769 13.6 4.9 (D) (D) 9.0Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . . . 145,961 7.1 2.7 (D) (D) 14.0 5,639 13.4 3.0 (D) (D) 18.9Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262,806 12.6 2.3 13.7 6.1 18.0 13,148 17.7 2.3 21.6 6.0 27.9Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,017 5.5 3.6 (D) 11.7 10.0 2,392 6.6 3.6 (D) 13.7 14.2

Indianapolis-Carmel, IN. . . . . . . . . . . . . . . . . . . . . . . . . . 1,118,129 9.0 5.2 (D) (D) 11.3 54,431 16.7 6.9 (D) (D) 12.7Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,537 6.0 2.8 3.5 (D) 29.7 4,516 8.5 2.7 3.2 (D) 41.4Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,200 6.1 2.2 6.4 (D) 10.2 2,724 9.5 2.6 6.4 (D) 13.4Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,665 12.8 2.7 3.8 12.4 13.2 3,127 20.1 2.5 3.8 12.9 17.7Jackson, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341,975 6.2 5.2 (D) (D) 17.7 13,986 8.1 7.0 (D) (D) 21.2Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,497 14.1 2.7 2.8 (D) 17.1 3,013 20.9 3.0 3.8 (D) 20.5

Jacksonville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 834,396 4.2 7.5 (D) (D) 11.7 37,640 6.1 10.7 (D) (D) 17.8Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,415 1.0 1.4 2.1 4.4 54.0 5,043 0.8 0.9 1.5 2.6 78.1Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,118 16.1 2.3 2.7 11.1 10.7 3,500 28.7 2.4 2.5 12.5 13.1Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101,374 (D) 3.5 (D) (D) 28.2 3,726 (D) 4.5 (D) (D) 35.0Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108,796 9.8 4.5 (D) (D) 15.2 3,796 16.3 5.7 (D) (D) 20.6Johnstown, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,372 6.7 4.5 5.4 17.0 13.9 2,699 8.6 5.4 7.9 18.6 20.3

Jonesboro, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,548 11.9 2.8 2.9 13.4 14.6 2,203 16.1 3.6 3.7 18.3 18.8Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105,515 15.2 2.7 2.5 12.1 9.6 3,563 21.7 3.0 2.7 14.9 11.7Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . . 182,089 12.9 4.2 5.0 12.4 11.8 7,724 23.4 5.6 5.7 12.1 15.7Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,690 9.5 3.8 (D) 14.8 11.9 2,008 17.5 3.8 (D) 16.6 15.9Kansas City, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,304,832 6.6 (D) (D) (D) 12.9 63,693 9.8 (D) (D) (D) 15.0Kennewick-Pasco-Richland, WA . . . . . . . . . . . . . . . . . . . . 123,099 5.5 2.3 9.9 8.8 13.9 5,634 6.6 2.2 16.8 8.4 17.8

Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . . 215,600 4.3 3.1 (D) (D) 39.5 10,494 4.2 2.0 (D) (D) 61.4Kingsport-Bristol-Bristol, TN-VA . . . . . . . . . . . . . . . . . . . . 165,203 14.9 2.5 (D) (D) 10.5 6,347 28.7 2.8 (D) (D) 12.2Kingston, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,327 5.4 3.5 4.7 12.3 16.9 3,190 8.2 4.3 4.0 12.8 29.5Knoxville, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 449,203 8.6 4.1 (D) (D) 12.2 18,537 13.2 5.0 (D) (D) 15.1Kokomo, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,457 24.9 2.5 3.0 (D) 14.4 3,009 56.4 2.2 2.6 (D) 12.5La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,045 10.8 4.2 (D) 16.3 11.7 3,362 16.0 4.7 (D) 19.9 15.0

Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115,694 15.2 3.0 4.2 (D) 21.1 4,646 24.6 3.3 4.2 (D) 26.0Lafayette, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187,887 5.7 3.1 6.4 11.6 9.5 8,396 6.8 3.1 8.4 10.9 10.4Lake Charles, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,338 8.2 (D) (D) 10.4 13.5 4,969 18.8 (D) (D) 9.9 14.7Lake Havasu City-Kingman, AZ . . . . . . . . . . . . . . . . . . . . 75,929 5.3 3.1 3.3 10.3 11.5 2,374 7.9 4.3 3.8 15.2 18.3Lakeland-Winter Haven, FL . . . . . . . . . . . . . . . . . . . . . . . 278,913 6.6 4.4 4.0 9.7 10.8 10,600 11.7 5.6 7.0 11.9 14.0Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307,921 15.2 3.3 4.2 11.3 7.4 12,478 20.1 4.4 5.3 12.0 9.3Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . . . 282,841 7.7 5.3 (D) 11.1 21.2 12,266 13.9 7.4 (D) 10.7 28.8

Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,375 1.3 4.6 2.9 11.8 18.2 3,913 1.2 5.5 3.6 9.3 27.2Las Cruces, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91,712 3.8 2.3 4.7 13.9 23.6 3,248 5.1 2.6 7.5 12.7 35.6Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . . . 1,181,323 2.5 4.7 5.2 5.9 9.3 55,632 3.3 5.1 7.1 6.7 13.1Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,191 6.8 2.8 6.8 7.7 23.4 2,224 12.3 3.4 7.8 7.3 32.4Lawton, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,323 5.9 3.8 2.9 6.8 39.3 2,988 8.7 2.6 3.5 5.2 60.0Lebanon, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,533 16.0 2.4 3.4 11.5 13.1 2,408 22.6 2.3 3.3 12.3 19.7

Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,115 9.8 5.3 3.3 13.0 15.0 1,271 14.6 6.0 4.2 14.8 18.5Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,312 10.0 (D) 4.8 16.4 9.3 2,364 15.8 (D) 5.6 19.3 11.5Lexington-Fayette, KY . . . . . . . . . . . . . . . . . . . . . . . . . . 320,678 11.3 3.1 (D) (D) 15.0 14,335 19.0 3.7 (D) (D) 18.2Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,483 13.3 2.6 2.9 15.5 10.8 2,782 29.5 2.4 2.7 17.3 13.1Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214,973 7.4 6.2 6.0 (D) 16.7 8,259 11.6 7.7 7.5 (D) 21.9Little Rock-North Little Rock-Conway, AR . . . . . . . . . . . . . . 434,055 5.9 4.7 (D) (D) 17.6 19,692 7.3 5.8 (D) (D) 22.4

Logan, UT-ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,039 16.2 3.3 5.7 (D) 16.0 2,088 24.7 2.5 6.2 (D) 23.6Longview, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129,877 11.1 3.3 (D) 10.4 9.5 5,437 15.9 3.0 (D) 10.3 9.4Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,767 15.2 2.6 3.0 11.3 12.6 2,064 24.7 2.7 2.6 11.6 14.5Los Angeles-Long Beach-Santa Ana, CA . . . . . . . . . . . . 7,895,418 8.5 4.8 8.3 8.3 9.9 437,527 11.2 7.8 12.0 7.9 12.6

Los Angeles-Long Beach-Glendale, CA . . . . . . . . . . . . . 5,846,145 8.2 4.3 8.1 8.6 10.6 319,269 10.7 7.0 12.1 8.2 13.8Santa Ana-Anaheim-Irvine, CA . . . . . . . . . . . . . . . . . . . 2,049,273 9.2 6.3 9.1 7.4 7.9 118,258 12.8 10.1 11.7 7.0 9.4

Louisville/Jefferson County, KY-IN . . . . . . . . . . . . . . . . . . . 775,567 10.0 5.7 (D) (D) 10.5 35,319 16.6 8.3 (D) (D) 12.6Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167,310 3.1 (D) (D) 12.0 15.5 6,024 4.0 (D) (D) 15.1 22.7Lynchburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141,842 13.6 3.8 (D) (D) 11.4 5,170 26.1 6.7 (D) (D) 13.6Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133,252 5.3 (D) (D) (D) 12.4 4,812 8.6 (D) (D) (D) 15.6Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,454 5.9 1.7 (D) 10.9 18.6 2,466 7.8 1.5 (D) 13.7 25.7Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 437,895 7.8 6.3 6.8 (D) 19.4 19,601 11.4 8.8 8.9 (D) 23.4






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Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . . . 260,222 11.9 5.4 7.7 11.1 8.9 13,997 19.4 8.8 10.7 10.0 10.0Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,516 18.4 2.5 2.4 12.2 13.2 2,599 30.0 2.4 2.6 13.1 17.6McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . . . 300,432 3.1 3.2 3.0 17.9 17.1 9,073 3.5 4.0 3.9 18.2 26.3Medford, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120,370 6.7 3.4 4.4 12.3 9.9 4,311 7.5 3.8 4.6 15.3 14.7Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . . . 821,449 6.7 3.5 (D) (D) 12.2 39,818 10.0 6.6 (D) (D) 14.4Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,691 10.4 2.4 3.1 8.0 16.6 3,960 11.9 2.0 2.5 8.3 21.6

Miami-Fort Lauderdale-Pompano Beach, FL . . . . . . . . . . 3,332,233 3.2 5.3 7.0 9.8 10.2 150,691 4.8 8.0 10.1 9.8 14.3Fort Lauderdale-Pompano Beach-Deerfield Beach, FL . . . 1,069,522 3.3 5.9 7.3 9.0 10.2 45,935 5.1 8.2 9.7 9.0 14.6Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . . . . 1,454,499 3.6 4.6 6.5 10.0 11.0 68,006 4.5 7.7 10.0 9.5 15.8West Palm Beach-Boca Raton-Boynton Beach, FL . . . . . . 808,212 2.6 5.6 7.4 10.4 8.6 36,749 5.0 8.3 10.7 11.4 11.2

Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . . . . 59,385 16.0 2.2 2.9 11.3 13.1 2,156 24.9 2.3 2.6 12.4 16.1Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,772 3.3 4.5 6.4 6.5 8.8 5,369 4.9 3.3 5.9 4.5 8.1

Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . . . 1,021,369 13.3 5.6 5.7 12.6 9.3 50,909 19.1 8.7 8.2 11.8 11.0Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . . . 2,276,612 9.2 6.2 (D) (D) 10.9 122,157 13.8 10.3 (D) (D) 12.0Missoula, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,732 3.8 3.3 6.5 12.3 13.4 2,839 5.2 4.3 7.5 15.2 18.6Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234,728 7.2 3.4 5.5 9.9 13.7 9,328 11.5 5.4 7.6 11.1 17.7Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228,931 10.1 3.0 4.1 10.4 12.8 9,934 14.6 3.0 4.3 13.1 17.8Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,829 (D) 4.9 4.5 (D) 14.6 3,818 (D) 5.1 6.1 (D) 17.2

Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,264 12.3 2.9 5.3 9.0 11.2 2,521 24.0 2.6 8.1 8.5 13.6Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232,921 8.9 4.5 (D) (D) 19.7 9,712 12.5 6.1 (D) (D) 29.2Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,709 5.9 1.9 4.7 13.1 24.0 2,998 10.3 2.2 5.0 17.0 31.6Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,602 21.3 2.2 (D) (D) 10.7 2,371 33.5 2.4 (D) (D) 13.0Mount Vernon-Anacortes, WA . . . . . . . . . . . . . . . . . . . . . 67,218 9.7 3.2 4.2 8.6 16.2 2,812 19.4 4.4 3.8 8.2 18.8Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,818 8.8 3.5 4.6 16.3 17.2 2,233 15.2 3.7 6.1 19.6 21.8

Muskegon-Norton Shores, MI. . . . . . . . . . . . . . . . . . . . . . 84,181 15.7 2.4 2.9 14.4 11.1 3,158 26.5 2.5 2.9 15.7 16.0Myrtle Beach-North Myrtle Beach-Conway, SC . . . . . . . . . . 154,017 2.9 3.4 3.3 5.6 9.6 5,023 4.3 5.7 5.1 8.2 14.8Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92,731 12.9 2.9 5.4 8.5 11.0 4,605 19.6 4.1 6.2 9.7 14.4Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . . . 196,646 1.9 4.5 5.4 8.6 7.1 8,030 2.7 7.7 7.0 11.9 10.3Nashville-Davidson—Murfreesboro—Franklin, TN . . . . . . . . 1,032,684 (D) (D) (D) (D) 9.9 50,725 (D) (D) (D) (D) 10.9New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . . . 495,789 8.8 4.1 6.2 14.7 10.7 25,532 14.0 5.2 9.5 14.2 13.6

New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . . . 686,851 5.5 3.8 (D) (D) 13.2 33,794 8.7 4.7 (D) (D) 15.9New York-Northern New Jersey-Long Island, NY-NJ-PA . . 10,946,404 (D) 7.3 9.0 12.9 12.0 793,649 (D) 20.2 12.6 9.1 11.9

Edison-New Brunswick, NJ. . . . . . . . . . . . . . . . . . . . . . 1,319,583 5.9 5.3 9.6 10.5 11.6 77,377 10.4 7.6 14.3 9.2 13.1Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,626,007 5.4 6.4 7.7 13.1 12.0 88,980 7.2 9.0 9.0 13.0 17.2Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . . . 1,321,920 7.0 6.0 9.2 10.7 13.0 86,452 13.0 9.3 13.3 8.9 13.9New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . . . 6,678,894 (D) 8.2 9.2 13.8 11.9 540,840 (D) 25.5 12.9 8.4 10.6

Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . 87,229 17.4 2.6 3.6 11.4 10.5 3,585 32.6 3.1 4.0 10.4 12.5Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . . . 173,983 9.3 2.1 5.5 10.5 27.3 9,079 17.4 2.0 8.6 9.6 31.9Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147,871 6.6 4.2 4.2 10.0 12.0 4,793 10.1 5.4 5.0 13.7 16.9Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,148 1.6 3.1 3.7 7.6 17.0 2,147 1.8 3.7 4.7 9.7 27.3Odessa, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,053 6.0 2.7 3.7 7.6 12.5 3,436 8.4 2.4 4.1 7.0 12.9Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . 282,898 8.6 4.8 5.5 (D) 18.3 10,532 12.7 3.4 7.0 (D) 30.4

Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . 759,482 5.1 4.3 (D) (D) 16.9 36,228 13.8 4.2 (D) (D) 21.5Olympia, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133,003 2.6 2.9 5.0 10.2 28.4 5,722 3.3 3.9 5.0 11.0 39.5Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . . . 577,320 6.0 6.8 6.2 (D) 12.1 27,283 6.9 8.5 8.3 (D) 14.9Orlando-Kissimmee, FL. . . . . . . . . . . . . . . . . . . . . . . . . . 1,331,401 3.4 4.1 6.8 8.3 8.8 57,160 5.2 5.5 10.6 9.3 11.3Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . 108,565 22.7 3.7 3.9 10.9 11.6 5,069 33.6 3.5 5.1 9.8 12.1Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,868 14.5 3.9 (D) 8.9 15.1 2,431 24.6 4.2 (D) 10.0 18.4

Oxnard-Thousand Oaks-Ventura, CA. . . . . . . . . . . . . . . . . 446,219 9.2 5.5 7.1 7.6 11.3 23,032 18.1 9.5 7.8 7.2 16.0Palm Bay-Melbourne-Titusville, FL . . . . . . . . . . . . . . . . . . 287,535 8.8 3.2 6.7 10.5 11.3 12,186 16.3 3.8 9.5 11.5 17.1Palm Coast, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,493 4.7 2.7 3.6 6.7 17.3 785 6.4 4.2 5.1 9.6 23.9Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . . 102,871 3.5 4.6 5.4 8.5 17.6 3,934 5.7 5.4 7.3 10.0 29.8Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . . . 90,992 (D) (D) (D) 13.2 12.6 3,444 (D) (D) (D) 13.9 18.3Pascagoula, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,267 21.4 2.4 (D) (D) 16.9 3,144 37.8 1.9 (D) (D) 19.8Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . . . 235,017 3.1 3.8 5.3 11.3 17.8 9,131 4.8 4.2 6.8 13.1 30.7

Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231,630 14.0 (D) (D) (D) 9.7 11,039 28.5 (D) (D) (D) 10.0Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . 3,486,354 (D) 6.5 (D) 13.2 10.7 201,579 (D) 10.0 (D) 11.9 12.0

Camden, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 677,685 7.1 5.2 (D) 11.6 13.8 33,804 12.5 6.7 (D) 11.7 17.4Philadelphia, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,376,872 6.6 6.2 9.4 14.1 9.7 142,880 10.0 9.8 14.9 12.3 10.7Wilmington, DE-MD-NJ . . . . . . . . . . . . . . . . . . . . . . . . 431,797 (D) 10.1 (D) 10.8 11.5 24,895 (D) 15.6 (D) 9.9 12.1

Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . . 2,448,174 5.9 6.2 6.5 8.4 10.3 115,165 9.6 8.0 8.6 9.4 12.7

Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,102 13.4 (D) (D) (D) 23.3 1,867 17.7 (D) (D) (D) 30.9Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,427,486 7.3 5.1 7.1 13.9 9.4 72,466 13.6 6.7 10.0 12.6 10.6Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,847 7.5 3.3 5.8 15.0 9.5 3,424 13.2 4.5 8.4 17.2 12.1Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,107 5.7 4.1 4.0 (D) 19.5 1,709 11.5 4.9 5.2 (D) 27.5Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . . . 350,884 7.7 5.1 6.3 13.1 12.3 14,844 10.9 8.0 8.2 13.5 17.9Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . . . 1,364,785 9.7 4.5 (D) (D) 10.5 66,117 15.6 6.0 (D) (D) 13.1

Port St. Lucie, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198,471 3.4 4.2 5.9 11.1 10.2 7,011 4.9 6.5 8.0 13.2 15.6Poughkeepsie-Newburgh-Middletown, NY . . . . . . . . . . . . . 334,022 6.7 3.4 5.1 12.4 17.0 14,750 14.1 3.4 5.5 12.6 25.9Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,203 3.8 2.9 4.3 10.0 12.4 2,894 5.7 3.6 4.7 13.2 20.9Providence-New Bedford-Fall River, RI-MA. . . . . . . . . . . . . 896,766 (D) 4.7 5.4 13.9 11.6 41,382 (D) 6.6 6.9 13.4 16.8Provo-Orem, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261,818 8.2 4.5 (D) (D) 10.7 8,966 12.7 3.1 (D) (D) 13.0Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,055 6.1 3.3 2.9 14.2 16.7 2,698 10.5 3.0 3.0 16.7 23.1






Employees Earnings

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Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,186 1.6 4.1 5.3 12.7 9.3 2,132 1.9 5.2 7.1 19.6 16.7Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,691 19.4 3.3 3.7 12.0 10.6 4,422 35.4 3.8 5.8 11.6 12.4Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 666,593 5.2 3.7 8.8 7.5 15.0 30,509 9.1 5.5 12.9 7.1 17.9Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82,266 4.5 4.5 4.1 (D) 16.4 3,004 5.8 5.0 4.5 (D) 26.6Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226,734 13.9 4.0 5.2 11.1 10.8 9,730 21.2 4.7 6.7 11.6 12.5Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,429 3.1 3.5 6.0 11.8 14.5 3,759 4.4 3.7 6.3 15.9 20.6

Reno-Sparks, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 290,939 5.4 (D) 6.0 7.9 10.1 13,052 8.2 (D) 8.4 9.8 14.5Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 787,723 5.6 (D) (D) (D) 15.8 38,784 8.4 (D) (D) (D) 18.8Riverside-San Bernardino-Ontario, CA. . . . . . . . . . . . . . . . 1,783,033 7.1 3.1 4.5 8.4 14.8 74,517 9.5 3.3 5.0 9.0 22.7Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207,299 (D) (D) (D) (D) 10.9 8,233 (D) (D) (D) (D) 14.9Rochester, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133,357 9.7 2.5 3.0 (D) 8.3 6,389 15.9 2.4 2.6 (D) 9.2Rochester, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 625,874 12.2 3.6 6.3 (D) 12.4 29,237 21.7 4.4 7.6 (D) 15.2

Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196,186 17.7 4.1 3.7 11.9 8.9 8,287 29.3 4.9 4.0 13.1 10.7Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82,062 12.0 2.7 3.6 (D) 14.2 3,128 20.4 2.6 3.2 (D) 16.6Rome, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,471 14.4 2.9 3.5 14.0 12.9 1,952 19.7 3.6 3.6 21.1 15.9Sacramento—Arden-Arcade—Roseville, CA . . . . . . . . . . . . 1,245,775 3.5 5.4 7.5 8.8 20.6 62,807 5.3 6.8 9.8 9.3 29.6Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . . . 109,975 11.4 3.8 3.5 16.2 11.6 4,631 23.0 4.9 4.2 15.8 14.8St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,126 13.7 3.7 3.5 12.4 10.6 4,798 19.1 4.7 3.5 14.8 15.5

St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,086 4.5 4.6 5.2 10.7 9.2 2,224 6.1 3.7 6.2 14.1 13.3St. Joseph, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,408 (D) (D) (D) (D) 13.8 2,661 (D) (D) (D) (D) 16.6St. Louis, MO-IL3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,721,904 (D) 4.8 (D) (D) 10.9 82,365 (D) 6.1 (D) (D) 12.7Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207,186 7.3 3.0 3.9 11.1 19.5 7,978 8.2 3.4 4.7 14.5 27.9Salinas, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233,846 2.9 2.7 4.9 6.4 15.6 11,846 4.9 3.4 5.1 6.8 23.7Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,307 6.9 2.7 4.2 (D) 14.5 2,712 9.1 3.3 5.3 (D) 19.6

Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 818,386 7.4 7.1 7.0 7.3 12.3 37,115 10.8 8.0 10.6 6.9 15.1San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,673 5.8 (D) (D) 12.2 17.9 2,324 8.9 (D) (D) 13.7 26.7San Antonio, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,160,062 4.6 6.0 (D) (D) 15.9 51,706 7.7 8.0 (D) (D) 22.3San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . . . 1,924,830 5.8 4.1 9.5 7.2 17.5 103,406 9.4 5.2 13.0 6.8 23.8Sandusky, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,049 12.7 2.3 3.0 11.4 12.1 1,949 26.8 2.2 2.9 11.6 15.4

San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . . . 2,842,973 5.3 5.8 12.0 8.6 11.1 194,548 8.6 11.4 17.5 7.5 13.0Oakland-Fremont-Hayward, CA. . . . . . . . . . . . . . . . . . . 1,433,223 7.0 4.8 9.6 9.5 11.8 87,028 12.3 6.2 12.5 9.5 14.9San Francisco-San Mateo-Redwood City, CA . . . . . . . . . 1,409,750 3.5 6.9 14.4 7.6 10.4 107,520 5.6 15.6 21.5 5.8 11.5

San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . . . 1,203,919 14.4 3.2 13.7 7.4 8.2 103,991 27.7 3.1 17.8 5.7 7.3San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . . . 158,312 3.9 3.0 6.8 8.7 13.6 6,272 5.5 3.4 7.3 10.3 21.2Santa Barbara-Santa Maria-Goleta, CA . . . . . . . . . . . . . . . 266,248 5.6 3.2 8.0 8.4 14.8 12,428 9.0 5.2 10.5 9.0 20.3

Santa Cruz-Watsonville, CA. . . . . . . . . . . . . . . . . . . . . . . 147,903 5.1 2.8 7.7 9.8 13.0 6,478 7.3 3.1 8.2 11.2 18.1Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,023 1.7 3.0 7.6 10.0 20.5 3,970 4.3 5.4 11.7 10.4 26.3Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . . . . . . . . . . 285,490 8.7 3.7 8.7 9.5 10.6 12,839 13.1 4.8 10.7 11.5 14.4Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212,857 7.2 2.8 (D) (D) 13.7 8,531 13.9 3.2 (D) (D) 20.9Scranton—Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . 319,228 10.5 4.3 4.1 (D) 10.6 12,681 14.6 5.4 5.0 (D) 14.3

Seattle-Tacoma-Bellevue, WA . . . . . . . . . . . . . . . . . . . . 2,262,713 8.8 4.3 7.8 8.8 13.4 134,735 13.2 6.2 10.0 7.7 14.6Seattle-Bellevue-Everett, WA . . . . . . . . . . . . . . . . . . . . 1,870,123 9.5 4.4 8.6 8.4 11.5 115,647 14.1 6.4 11.0 7.0 11.7Tacoma, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 392,590 5.3 3.4 4.2 10.5 22.1 19,088 7.6 4.9 4.2 11.8 32.3

Sebastian-Vero Beach, FL. . . . . . . . . . . . . . . . . . . . . . . . 71,747 3.4 4.4 5.7 12.9 8.9 2,663 4.4 5.8 8.0 16.3 12.8Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,888 30.0 4.1 3.3 9.5 8.1 3,425 45.4 4.5 3.1 10.2 9.5Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . . . . . . . 59,124 10.2 5.0 3.1 13.3 11.1 2,168 23.9 5.5 3.5 15.8 13.6Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . . . 234,733 6.2 3.2 (D) (D) 17.4 10,263 9.3 3.1 (D) (D) 23.3

Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,301 (D) (D) (D) 11.4 10.6 3,616 (D) (D) (D) 12.8 13.4Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173,127 7.7 (D) 4.3 13.7 7.7 6,975 9.4 (D) 5.4 16.7 9.7South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . 174,841 11.7 3.8 (D) 11.7 10.2 7,953 26.3 4.4 (D) 12.0 10.4Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153,460 18.2 3.2 3.8 6.4 12.7 6,517 28.1 4.1 4.9 8.1 15.0Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278,647 6.9 5.0 5.3 12.9 13.8 11,340 10.1 6.8 6.3 14.3 19.2Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137,379 2.7 6.1 5.6 (D) 21.5 5,953 3.4 7.1 6.5 (D) 31.8

Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 375,440 8.8 4.0 4.6 14.2 15.4 15,840 12.6 6.9 5.3 15.6 20.5Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 271,060 7.1 4.7 4.0 (D) 10.5 9,410 12.0 5.6 6.0 (D) 14.1Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,684 11.6 4.7 2.9 14.2 11.7 2,312 18.8 4.9 3.0 16.2 16.7State College, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108,638 4.6 2.5 5.8 7.3 41.1 3,879 6.2 2.6 7.8 8.5 45.2Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295,755 8.0 3.7 3.4 10.3 13.4 12,785 10.1 4.0 3.5 11.6 20.0Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,891 14.9 2.3 2.3 8.9 22.6 2,132 18.2 2.5 2.6 9.0 35.7

Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 384,315 8.9 4.9 6.2 (D) 14.5 17,375 14.4 6.3 7.7 (D) 18.2Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222,579 2.2 3.7 (D) (D) 27.9 8,788 2.9 5.2 (D) (D) 37.5Tampa-St. Petersburg-Clearwater, FL . . . . . . . . . . . . . . . . 1,627,188 4.9 6.3 7.2 10.4 9.8 69,577 7.5 8.9 10.0 11.6 13.7Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90,995 13.9 3.0 2.8 (D) 15.4 3,359 22.5 3.1 3.0 (D) 19.3Texarkana, TX-Texarkana, AR . . . . . . . . . . . . . . . . . . . . . 73,001 7.3 4.1 (D) (D) 18.1 2,850 11.0 4.8 (D) (D) 26.8Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 400,216 12.3 3.2 (D) (D) 13.1 17,337 21.4 3.7 (D) (D) 15.6

Topeka, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142,754 5.3 5.8 (D) (D) 20.4 5,601 8.0 8.4 (D) (D) 25.5Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267,726 3.0 6.9 11.3 10.3 19.9 17,127 3.4 11.8 17.8 8.6 22.6Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 528,850 5.6 3.5 6.8 11.3 16.2 20,678 11.5 3.8 9.6 12.9 23.8Tulsa, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 571,091 9.6 4.4 (D) (D) 9.9 28,738 21.0 4.2 (D) (D) 9.5Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120,330 13.0 2.5 4.0 (D) 21.6 5,094 23.4 2.7 3.9 (D) 25.3Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128,401 7.0 4.3 4.9 15.1 10.3 5,310 11.6 5.1 6.4 18.9 11.7






Employees Earnings

Total1


Total1(mil.dol.)


Manu-fac-

turing

Financeand

insur-ance

Profes-sional

andtech-nical

services

Healthcareand

socialservices

Govern-mentand

govern-ment

enter-prises

Manu-fac-

turing

Financeand

insur-ance

Profes-sional

andtech-nical

services

Healthcareand

socialservices

Govern-mentand

govern-ment

enter-prises

Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161,903 8.4 5.6 4.0 15.2 20.4 6,190 10.8 7.5 4.8 14.8 29.2Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,850 (D) (D) 2.8 (D) 20.9 2,558 (D) (D) 3.2 (D) 33.2Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175,998 5.7 3.3 4.1 10.9 18.8 8,539 11.5 3.5 3.6 12.6 28.2Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,884 9.1 3.4 (D) (D) 12.4 2,944 20.3 2.6 (D) (D) 12.9Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . 76,090 12.4 2.3 2.7 11.9 20.0 3,426 17.1 2.4 2.8 12.4 26.6

Virginia Beach-Norfolk-Newport News, VA-NC. . . . . . . . . . . 1,054,142 (D) (D) (D) (D) 24.9 49,976 (D) (D) (D) (D) 39.2Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . 198,330 6.2 2.6 2.6 7.1 16.1 7,632 8.4 2.8 2.9 6.9 23.2Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136,642 11.7 5.4 3.4 10.8 12.5 5,209 20.7 7.5 3.8 10.9 16.9Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,247 7.2 2.4 6.5 6.5 34.9 3,719 7.5 1.6 7.8 5.1 59.3Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . 3,877,061 (D) (D) (D) (D) 18.9 262,358 (D) (D) (D) (D) 27.7

Bethesda-Frederick-Gaithersburg, MD . . . . . . . . . . . . . . 785,452 2.7 5.3 14.0 9.8 13.4 48,823 4.8 7.1 18.3 8.1 20.6Washington-Arlington-Alexandria, DC-VA-MD-WV. . . . . . . 3,091,609 (D) (D) (D) (D) 20.4 213,535 (D) (D) (D) (D) 29.3

Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . . . 113,663 15.0 4.8 (D) (D) 13.3 4,391 26.7 5.4 (D) (D) 15.7Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93,389 19.9 6.9 3.3 8.9 8.7 3,688 27.2 9.3 4.7 11.0 10.6Weirton-Steubenville, WV-OH. . . . . . . . . . . . . . . . . . . . . . 57,751 14.3 2.4 (D) (D) 11.4 2,196 27.2 2.2 (D) (D) 13.4Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,319 3.9 2.2 (D) 9.7 13.6 2,301 5.6 2.7 (D) 14.5 21.4Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83,566 5.5 3.7 (D) (D) 13.0 2,913 10.7 4.1 (D) (D) 16.9Wichita, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388,189 17.0 3.3 3.9 (D) 11.8 18,411 33.3 2.8 4.1 (D) 12.4

Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92,428 9.3 3.9 3.1 10.4 21.1 3,830 14.9 3.2 3.3 10.7 28.1Williamsport, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,571 15.9 3.0 3.3 13.4 14.5 2,564 27.0 3.4 3.9 14.3 17.3Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198,312 4.9 3.0 6.3 8.6 13.5 7,152 9.6 4.0 9.0 9.8 18.6Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,272 11.9 2.7 3.8 (D) 11.1 2,895 19.2 3.4 4.3 (D) 15.0Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281,588 10.6 5.0 (D) (D) 9.2 11,886 17.3 8.1 (D) (D) 10.1Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 424,200 10.1 4.5 6.1 13.6 12.4 20,351 16.5 6.3 8.2 14.2 15.0

Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,513 7.5 2.3 2.7 12.0 14.4 4,592 9.7 3.0 2.7 13.9 19.5York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227,445 16.8 2.8 4.1 10.3 9.7 9,612 23.9 3.2 4.6 11.5 13.3Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . . . 302,270 12.4 3.2 3.5 14.6 11.2 11,536 24.6 3.5 3.5 14.8 14.4Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,137 3.9 2.5 4.1 10.0 20.9 2,891 5.2 2.0 3.6 11.4 34.4Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,878 3.4 1.7 2.6 8.0 21.1 3,247 3.8 1.5 3.3 9.4 34.1

D Data withheld due to disclosure.

1Includes other industry categories not shown separately.2The 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,



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>. Metropolitan area figures are computed by the Census Bureau using the sum of component county totals. Rounding mayresult in discrepancies with BEA’s metropolitan area figures.

Survey, Census, or Data Collection Method: Personal income and earnings—Based on the Regional Economic Information System (REIS); for more information, see Appendix B, Limitations ofthe Data and Methodology, and Internet site <http://www.bea.gov/regional/methods.cfm/>.

Sources: U.S. Bureau of Economic Analysis, Local Area Personal Income (related Internet site <http://www.bea.gov/regional/reis/>).


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



Civilian labor force Banking,20082

Total Number ofunemployed

Unemploymentrate1

Numberof

officesDeposits(mil. dol.)2008 2007 2005 2000

Change,2000–2008 2008 2000 2008 2005 2000

Abilene, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82,219 80,285 80,415 75,131 7,088 3,188 3,145 3.9 4.2 4.2 55 2,043Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 391,112 388,588 379,386 365,082 26,030 24,105 14,917 6.2 5.7 4.1 220 10,774Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,163 75,686 74,785 71,643 4,520 4,809 3,350 6.3 5.5 4.7 48 2,074Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . . . 458,596 455,379 455,040 434,539 24,057 23,014 14,920 5.0 4.0 3.4 322 17,844Albuquerque, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 412,543 408,409 392,794 370,858 41,685 17,592 15,278 4.3 4.9 4.1 173 10,008Alexandria, 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 13,270Altoona, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,979 64,623 64,749 62,375 2,604 3,415 2,925 5.3 5.2 4.7 61 1,904Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129,444 128,555 127,063 117,511 11,933 4,596 4,525 3.6 4.0 3.9 72 4,100Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,704 48,164 46,921 46,543 2,161 1,480 865 3.0 3.1 1.9 44 1,434Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195,308 191,406 185,670 169,276 26,032 11,361 8,959 5.8 5.9 5.3 46 10,198Anderson, 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 2,295Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185,136 189,293 189,912 185,202 –66 10,911 4,304 5.9 4.4 2.3 104 5,666Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,277 54,868 53,402 53,392 885 2,755 2,391 5.1 3.8 4.5 35 1,598Appleton, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122,532 123,220 120,369 117,756 4,776 5,460 3,341 4.5 4.5 2.8 86 3,457Asheville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208,431 205,555 199,172 185,077 23,354 10,428 6,032 5.0 4.4 3.3 143 6,650Athens-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 1,461 117,227Atlantic City-Hammonton, NJ . . . . . . . . . . . . . . . . . . . . . . 135,611 135,720 137,083 128,989 6,622 9,485 6,009 7.0 5.3 4.7 85 4,097Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,833 65,357 62,957 58,646 6,187 2,969 2,072 4.6 3.2 3.5 41 1,832Augusta-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 6,629Austin-Round Rock, TX. . . . . . . . . . . . . . . . . . . . . . . . . . 867,507 847,216 801,653 736,703 130,804 37,874 22,406 4.4 4.5 3.0 469 20,569Bakersfield, 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 48,897Bangor, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,106 78,778 76,968 74,854 4,252 4,443 2,702 5.6 5.1 3.6 55 1,910Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 121,010 120,934 121,873 113,483 7,527 6,970 3,919 5.8 4.9 3.5 123 5,503Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 377,845 370,143 363,716 339,543 38,302 17,065 16,058 4.5 6.5 4.7 245 13,447Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,071 70,087 71,691 70,370 –1,299 5,325 2,911 7.7 6.6 4.1 38 1,009Bay 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 4,487Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109,177 105,765 102,141 88,022 21,155 5,430 4,514 5.0 5.0 5.1 77 3,049Bend, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82,107 81,795 75,214 61,802 20,305 6,544 3,324 8.0 5.8 5.4 68 2,191Billings, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,643 86,823 83,416 76,480 10,163 2,937 3,135 3.4 3.0 4.1 49 3,142Binghamton, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,364 123,542 122,807 124,890 –526 6,978 4,473 5.6 4.9 3.6 72 2,668Birmingham-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 2,027Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . . . 80,147 78,487 77,439 73,034 7,113 3,951 2,360 4.9 4.0 3.2 69 2,301Bloomington, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,749 96,074 95,027 91,024 5,725 4,866 2,706 5.0 5.2 3.0 67 2,100Bloomington-Normal, IL. . . . . . . . . . . . . . . . . . . . . . . . . . 91,064 90,396 87,266 85,458 5,606 4,679 2,868 5.1 4.3 3.4 69 12,147Boise 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 1,502 152,454Boston-Quincy, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 979,715 973,905 944,265 959,590 20,125 49,821 25,949 5.1 4.8 2.7 624 97,347Cambridge-Newton-Framingham, MA. . . . . . . . . . . . . . . 819,977 815,355 808,287 821,797 –1,820 35,158 18,181 4.3 4.1 2.2 504 33,797Peabody, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 375,683 374,133 374,942 372,932 2,751 20,945 10,407 5.6 5.3 2.8 257 15,759Rockingham 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 1,839Bradenton-Sarasota-Venice, FL . . . . . . . . . . . . . . . . . . . . 318,125 317,021 308,811 272,084 46,041 21,978 8,670 6.9 3.4 3.2 335 16,704Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . . . 124,747 122,237 120,540 105,983 18,764 6,237 5,332 5.0 5.1 5.0 76 2,349Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . . . 470,196 465,045 454,766 445,342 24,854 24,222 8,978 5.2 4.4 2.0 410 24,142Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . . . 146,027 143,314 140,800 127,011 19,016 9,914 8,932 6.8 7.6 7.0 85 4,072Brunswick, 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 34,539Burlington, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,878 69,880 69,027 69,342 1,536 4,671 2,197 6.6 6.0 3.2 50 2,491Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . . . 119,276 118,798 116,858 113,558 5,718 5,164 2,719 4.3 3.3 2.4 72 3,672Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . 206,406 205,484 203,854 207,120 –714 14,023 8,606 6.8 6.4 4.2 132 5,335Cape 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 10,865Carson 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 1,354Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145,368 143,217 138,129 135,913 9,455 5,863 3,309 4.0 4.4 2.4 112 4,460Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . . . 122,517 121,384 117,624 115,433 7,084 6,968 4,101 5.7 4.3 3.6 106 4,828Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140,153 140,869 138,966 145,084 –4,931 5,006 7,608 3.6 4.8 5.2 102 5,304Charleston-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 9,096Charlotte-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 3,256Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . . . 264,299 261,684 253,483 247,294 17,005 15,168 8,299 5.7 4.8 3.4 172 7,644Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,431 42,119 41,470 40,237 2,194 1,635 1,505 3.9 4.2 3.7 31 1,199Chicago-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 2,753 240,914Gary, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 334,443 333,042 328,251 326,617 7,826 19,531 11,059 5.8 5.7 3.4 262 10,344Lake 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



Table B–13. Metropolitan Areas — Civilian Labor Force and Banking—Con.





Unemploymentrate1

Numberof


Change,2000–2008 2008 2000 2008 2005 2000

Chico, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104,323 102,287 98,866 93,147 11,176 8,789 5,777 8.4 6.8 6.2 54 2,799Cincinnati-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 56,122Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108,816 109,358 104,577 97,639 11,177 7,584 4,117 7.0 5.8 4.2 86 2,805Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,324 54,561 54,008 53,211 1,113 3,504 1,999 6.5 5.4 3.8 47 1,659Cleveland-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 63,764Coeur 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 2,816Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . 314,549 312,503 303,909 277,206 37,343 18,083 8,084 5.7 5.4 2.9 166 5,547Columbia, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91,491 92,110 90,739 84,549 6,942 3,996 1,858 4.4 3.6 2.2 72 2,487Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 372,254 367,683 355,067 337,429 34,825 22,000 10,462 5.9 5.7 3.1 205 13,336Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128,858 127,986 127,892 125,172 3,686 7,997 5,563 6.2 5.7 4.4 79 5,479Columbus, 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 32,432Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204,553 198,523 197,891 184,880 19,673 9,651 10,017 4.7 5.6 5.4 119 4,188Corvallis, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,162 42,387 42,304 41,224 1,938 1,956 1,598 4.5 4.9 3.9 15 758Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,854 48,564 48,907 45,973 2,881 2,673 2,660 5.5 5.8 5.8 28 861Dallas-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 1,246 102,215Fort 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 1,929Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,738 37,852 37,895 38,878 –1,140 3,096 2,305 8.2 6.5 5.9 35 977Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,314 50,731 53,175 53,016 –1,702 4,092 1,971 8.0 7.7 3.7 43 1,583Davenport-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 6,328Dayton, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 424,865 426,765 424,901 431,838 –6,973 29,986 16,702 7.1 6.0 3.9 267 10,256Decatur, 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 1,881Deltona-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 8,175Denver-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 45,971Des 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 12,215Detroit-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 33,253Warren-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 2,501Dover, DE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,620 74,601 72,113 63,919 10,701 3,523 2,269 4.7 3.5 3.5 38 1,709Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,141 52,158 50,801 48,732 3,409 2,249 1,655 4.3 4.4 3.4 44 2,057Duluth, MN-WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145,825 144,020 141,172 142,017 3,808 9,048 6,222 6.2 5.3 4.4 104 3,463Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263,307 255,427 245,590 231,882 31,425 12,750 6,794 4.8 4.3 2.9 132 6,892Eau 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 1,671Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,769 54,438 52,910 49,253 5,516 3,449 2,159 6.3 6.0 4.4 54 1,494Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,787 101,726 101,763 97,342 1,445 8,528 2,453 8.6 4.5 2.5 67 2,161Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,535 41,125 40,667 42,801 –1,266 2,353 1,841 5.7 5.4 4.3 25 1,161El Paso, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 298,447 292,226 291,210 274,796 23,651 18,723 18,686 6.3 7.0 6.8 84 5,350Erie, 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 3,930Evansville, IN-KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180,667 181,339 182,712 179,045 1,622 9,534 5,764 5.3 5.0 3.2 132 5,590Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,687 45,515 45,223 40,952 4,735 2,773 2,443 6.1 5.8 6.0 23 920Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120,876 118,728 113,179 104,117 16,759 3,557 2,481 2.9 2.9 2.4 92 4,351Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,973 56,335 54,332 49,687 8,286 2,139 2,860 3.7 5.4 5.8 27 1,189Fayetteville, 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 7,226Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,433 70,859 67,531 62,556 10,877 3,754 2,817 5.1 4.9 4.5 28 991Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203,026 209,230 212,556 215,024 –11,998 21,481 9,519 10.6 7.8 4.4 94 5,079Florence, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,786 93,115 92,327 92,527 2,259 7,235 3,936 7.6 8.8 4.3 68 2,635Florence-Muscle Shoals, AL. . . . . . . . . . . . . . . . . . . . . . . 67,617 68,609 66,262 70,038 –2,421 3,649 3,223 5.4 4.5 4.6 51 2,150Fond 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 4,412Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138,381 138,358 134,251 127,313 11,068 6,711 4,681 4.8 4.5 3.7 128 4,037Fort 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 3,272Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213,845 214,002 211,106 208,914 4,931 12,832 5,373 6.0 5.1 2.6 129 4,915Fresno, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 435,244 422,946 409,527 388,267 46,977 45,997 40,357 10.6 9.0 10.4 158 8,916Gadsden, 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 3,082Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92,616 90,422 83,312 73,894 18,722 4,958 2,156 5.4 4.4 2.9 60 2,567Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,506 67,782 67,729 63,520 4,986 3,875 2,499 5.7 4.6 3.9 47 1,888Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,225 52,643 51,368 50,900 2,325 3,172 2,043 6.0 5.3 4.0 35 1,200Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,924 55,951 55,037 52,100 3,824 2,047 1,763 3.7 3.6 3.4 49 1,751Grand 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 11,916Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,035 39,571 38,646 38,328 1,707 1,653 1,888 4.1 3.6 4.9 22 993Greeley, CO3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119,519 118,012 111,829 93,728 (X) 6,295 2,516 5.3 5.6 2.7 79 3,856Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170,824 171,851 168,286 162,787 8,037 7,908 4,697 4.6 4.7 2.9 126 6,396Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . . . 368,465 365,558 362,621 351,381 17,084 23,838 12,375 6.5 5.2 3.5 218 10,646Greenville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,954 88,053 82,799 78,470 11,484 5,985 3,340 6.7 5.9 4.3 50 1,771








Unemploymentrate1

Numberof


Change,2000–2008 2008 2000 2008 2005 2000

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 12,278Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113,370 112,622 121,222 116,945 –3,575 6,480 5,716 5.7 10.8 4.9 91 3,902Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . . . 120,698 121,680 119,022 113,224 7,474 6,384 4,138 5.3 4.2 3.7 93 3,214Hanford-Corcoran, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 59,049 57,924 54,155 49,214 9,835 6,303 4,912 10.7 9.5 10.0 18 992Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . . . 285,990 281,534 277,691 268,358 17,632 13,097 9,093 4.6 4.0 3.4 235 8,547Harrisonburg, 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 32,917Hattiesburg, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,166 66,194 63,467 60,327 5,839 3,742 2,940 5.7 6.3 4.9 63 2,101Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . . . 172,627 172,863 177,037 188,253 –15,626 13,381 5,640 7.8 6.6 3.0 106 4,553Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . . . 31,703 30,086 28,833 24,045 7,658 1,828 1,176 5.8 5.4 4.9 14 455Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . . . 134,490 136,478 136,209 136,058 –1,568 9,471 3,602 7.0 5.2 2.6 89 3,722Honolulu, 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 1,515Houma-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 3,551Houston-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 1,546 109,316Huntington-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 3,902Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204,294 201,848 192,134 183,533 20,761 7,654 5,823 3.7 3.2 3.2 109 5,975Idaho 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 26,382Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90,871 89,746 86,066 78,931 11,940 2,789 1,578 3.1 3.3 2.0 59 2,480Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,125 55,569 54,684 50,848 5,277 2,323 1,658 4.1 3.6 3.3 35 1,442Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,513 77,901 78,272 79,088 –2,575 6,668 2,692 8.7 6.7 3.4 51 1,671Jackson, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261,281 260,560 263,799 249,204 12,077 14,501 11,901 5.5 6.0 4.8 216 8,989Jackson, 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 34,715Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,744 59,798 56,251 53,185 9,559 3,608 2,327 5.8 5.4 4.4 26 941Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83,690 84,651 83,497 82,911 779 5,091 3,431 6.1 5.9 4.1 48 1,935Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,910 77,368 77,466 76,569 341 3,794 2,097 4.9 4.4 2.7 64 3,367Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,879 98,111 95,606 91,558 8,321 5,899 4,189 5.9 5.3 4.6 72 2,885Johnstown, 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 2,214Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83,663 84,024 81,944 81,844 1,819 4,394 2,738 5.3 4.9 3.3 83 2,229Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . . 173,755 175,686 173,410 172,467 1,288 11,909 5,529 6.9 5.6 3.2 100 3,272Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,256 55,884 52,782 52,406 3,850 4,951 2,422 8.8 6.6 4.6 43 1,803Kansas 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 39,988Kennewick-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 3,384Kingsport-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 4,391Kingston, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90,702 90,856 91,967 88,599 2,103 5,022 3,146 5.5 4.4 3.6 66 2,287Knoxville, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358,249 354,674 341,056 318,562 39,687 18,622 10,818 5.2 4.5 3.4 255 11,113Kokomo, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,527 45,486 47,164 50,452 –5,925 3,478 1,501 7.8 6.3 3.0 35 1,220La 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 2,380Lafayette, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136,592 133,723 127,359 118,612 17,980 4,554 4,827 3.3 5.0 4.1 114 4,433Lake Charles, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,902 95,253 95,848 90,894 6,008 4,135 4,308 4.3 7.1 4.7 76 2,752Lake 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 2,299Lakeland-Winter Haven, FL . . . . . . . . . . . . . . . . . . . . . . . 272,831 266,444 254,222 231,280 41,551 18,301 9,529 6.7 4.0 4.1 147 5,750Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 271,836 267,664 267,410 250,543 21,293 11,593 7,085 4.3 3.7 2.8 205 8,804Lansing-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 5,758Las Cruces, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,929 87,709 84,736 76,425 13,504 3,995 4,695 4.4 5.7 6.1 43 1,331Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . . . 987,998 945,515 870,139 727,521 260,477 65,120 33,588 6.6 4.4 4.6 419 169,570Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,042 62,198 63,278 58,476 3,566 2,447 1,660 3.9 4.0 2.8 58 1,597Lawton, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,971 45,192 45,230 43,323 2,648 1,778 1,587 3.9 4.5 3.7 43 1,151Lebanon, 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 706Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,517 58,297 56,797 55,241 3,276 3,199 1,839 5.5 4.9 3.3 32 1,124Lexington-Fayette, KY . . . . . . . . . . . . . . . . . . . . . . . . . . 237,072 237,005 228,150 228,020 9,052 12,101 6,957 5.1 4.7 3.1 189 7,814Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,707 52,115 52,541 51,604 103 3,817 2,259 7.4 6.0 4.4 37 1,705Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169,005 167,272 165,714 158,276 10,729 5,194 3,712 3.1 3.6 2.3 142 4,649Little 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 1,029Longview, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107,972 105,343 102,425 92,647 15,325 4,500 4,875 4.2 5.0 5.3 77 3,561Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,267 43,479 42,766 43,153 1,114 3,627 2,735 8.2 7.2 6.3 20 908Los 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 1,764 240,130Santa 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 21,395Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140,954 139,181 140,825 130,798 10,156 5,318 4,715 3.8 4.1 3.6 105 5,148Lynchburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,344 122,025 117,674 113,516 10,828 5,218 2,514 4.2 4.0 2.2 98 3,767Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,684 111,774 110,759 104,415 10,269 7,195 4,299 6.3 5.5 4.1 70 4,116Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,262 64,027 62,235 54,910 11,352 6,217 4,770 9.4 7.9 8.7 23 990Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 339,540 339,569 332,550 310,071 29,469 11,888 7,565 3.5 3.3 2.4 240 13,333








Unemploymentrate1

Numberof


Change,2000–2008 2008 2000 2008 2005 2000

Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . . . 228,290 228,273 225,430 214,534 13,756 8,723 5,546 3.8 3.7 2.6 105 8,687Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,685 62,416 62,554 63,272 –587 4,661 3,197 7.4 6.5 5.1 48 1,589McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . . . 282,401 272,708 261,646 210,984 71,417 20,744 19,442 7.3 7.9 9.2 149 8,729Medford, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,413 101,621 99,630 90,558 11,855 7,913 5,094 7.7 6.2 5.6 77 2,732Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . . . 617,700 615,998 602,321 593,697 24,003 41,242 22,734 6.7 6.1 3.8 413 21,391Merced, 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 1,618 146,077Fort 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 34,829Miami-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 74,987West 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 1,312Midland, 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 44,655Minneapolis-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 64,509Missoula, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,571 59,154 57,486 54,211 3,360 2,599 2,170 4.5 3.3 4.0 39 1,534Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185,861 184,492 178,417 186,720 –859 9,448 8,147 5.1 4.2 4.4 115 5,370Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234,993 229,261 227,937 207,769 27,224 26,153 16,156 11.1 8.5 7.8 103 5,700Monroe, 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 1,840Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171,198 171,122 166,802 165,208 5,990 8,817 6,148 5.2 3.7 3.7 115 6,854Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,284 62,476 59,041 54,631 8,653 1,865 2,524 2.9 3.8 4.6 46 1,978Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,800 64,059 63,595 62,111 2,689 4,597 2,649 7.1 5.9 4.3 45 1,590Mount Vernon-Anacortes, WA . . . . . . . . . . . . . . . . . . . . . 58,906 57,481 56,043 51,918 6,988 3,351 3,009 5.7 5.9 5.8 50 1,987Muncie, 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 1,507Myrtle 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 5,691Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,275 73,998 71,716 66,625 9,650 3,886 2,395 5.1 4.4 3.6 50 2,581Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . . . 151,806 153,243 145,161 116,109 35,697 10,253 4,311 6.8 3.4 3.7 154 11,026Nashville-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 31,439New 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 24,564New 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 54,306Nassau-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 83,483Newark-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 50,439New 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 1,936Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . . . 149,507 147,088 145,080 131,618 17,889 8,213 2,921 5.5 4.5 2.2 92 3,888Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139,067 136,287 125,779 109,216 29,851 10,765 4,412 7.7 3.8 4.0 96 4,615Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,363 56,722 58,014 55,540 1,823 4,582 3,561 8.0 6.6 6.4 63 2,433Odessa, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,723 66,847 62,544 56,486 14,237 2,421 3,057 3.4 4.5 5.4 33 1,877Ogden-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 22,557Olympia, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,117 127,437 121,493 108,262 23,855 6,649 4,941 5.0 5.1 4.6 72 3,081Omaha-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 17,056Orlando-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 32,117Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,198 93,945 91,506 89,983 4,215 4,020 2,445 4.3 4.5 2.7 44 1,829Owensboro, 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 13,384Palm 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 7,189Palm Coast, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,576 30,698 29,494 21,008 10,568 3,042 753 9.6 4.3 3.6 23 1,384Panama 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 2,393Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . . . 79,324 80,004 79,546 79,392 –68 4,029 4,001 5.1 5.6 5.0 68 2,734Pascagoula, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,394 68,884 71,202 71,910 –516 4,455 4,469 6.2 10.0 6.2 48 1,867Pensacola-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 5,856Philadelphia-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 22,627Philadelphia, 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 1,394 104,150Wilmington, 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 1,117Pittsburgh, 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 70,874Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,153 72,603 72,501 70,160 1,993 3,680 2,068 5.1 4.4 2.9 63 2,868Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,928 44,570 43,679 41,979 1,949 1,972 1,956 4.5 3.6 4.7 30 626Portland-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 8,207Portland-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 7,896Poughkeepsie-Newburgh-Middletown, NY . . . . . . . . . . . . . 327,766 326,058 325,127 301,587 26,179 17,449 9,901 5.3 4.1 3.3 219 8,798Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,390 97,767 90,975 75,543 22,847 5,506 2,947 5.6 4.4 3.9 59 2,927Providence-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 36,946Provo-Orem, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 229,186 226,798 210,298 183,907 45,279 7,518 5,429 3.3 4.0 3.0 93 3,412Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,712 72,421 69,809 64,099 9,613 4,557 2,515 6.2 7.0 3.9 46 1,441








Unemploymentrate1

Numberof


Change,2000–2008 2008 2000 2008 2005 2000

Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,038 69,376 64,987 55,163 14,875 5,683 2,043 8.1 4.0 3.7 68 3,117Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,148 100,627 98,874 99,858 290 5,577 3,882 5.6 6.0 3.9 71 3,375Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 558,035 542,764 502,964 454,465 103,570 27,401 11,536 4.9 4.2 2.5 291 16,552Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,407 66,757 65,305 61,102 6,305 1,982 1,522 2.9 3.5 2.5 38 1,733Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204,501 201,599 198,591 194,605 9,896 11,018 7,673 5.4 4.9 3.9 146 8,549Redding, 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 26,730Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 649,993 644,181 621,765 564,833 85,160 27,740 11,635 4.3 3.7 2.1 375 44,223Riverside-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 37,360Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157,243 156,190 150,901 148,145 9,098 6,260 3,241 4.0 3.4 2.2 133 5,717Rochester, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103,596 103,343 102,037 95,141 8,455 4,735 2,580 4.6 3.7 2.7 75 3,618Rochester, 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 5,908Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,102 70,512 68,728 68,555 2,547 6,187 3,476 8.7 6.9 5.1 50 1,844Rome, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,822 49,608 50,440 44,900 4,922 3,255 1,690 6.5 5.0 3.8 28 1,380Sacramento—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 29,944Saginaw-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 1,932St. 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 1,564St. Joseph, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,538 67,966 64,581 60,474 7,064 3,472 2,103 5.1 5.7 3.5 60 1,944St. 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 57,829Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 194,666 190,511 185,057 177,751 16,915 12,215 9,591 6.3 6.3 5.4 98 3,931Salinas, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214,468 207,592 207,720 203,188 11,280 18,161 14,942 8.5 7.3 7.4 90 6,537Salisbury, 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 3.2 284 205,877San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,780 52,840 53,019 51,564 1,216 2,173 2,026 4.1 4.3 3.9 35 1,419San Antonio, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 946,209 926,073 898,469 817,912 128,297 44,108 32,691 4.7 5.0 4.0 461 46,797San 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 47,797Sandusky, 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 1,048 181,315Oakland-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 55,401San 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 51,876San 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 4,564Santa 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 4,108Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,406 78,908 76,518 70,763 8,643 2,776 2,568 3.5 4.1 3.6 43 2,132Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . . . . . . . . . . 263,441 260,012 254,796 253,260 10,181 15,094 8,505 5.7 4.5 3.4 130 9,783Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179,633 178,134 166,480 142,860 36,773 9,720 4,905 5.4 4.3 3.4 117 5,384Scranton—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 72,405Seattle-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 63,769Tacoma, 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 3,622Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,891 66,337 64,772 64,613 1,278 2,870 1,602 4.4 4.0 2.5 47 1,707Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . . . . . . . 55,816 55,439 56,653 56,260 –444 2,945 2,290 5.3 5.4 4.1 44 1,672Shreveport-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 2,506Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129,523 127,585 120,541 111,199 18,324 3,529 2,331 2.7 3.2 2.1 139 63,090South 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 3,930Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137,651 134,028 131,601 130,780 6,871 9,472 4,552 6.9 7.5 3.5 79 3,713Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239,149 232,444 223,224 211,201 27,948 13,417 10,922 5.6 5.7 5.2 130 7,149Springfield, 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 11,618Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216,105 219,446 211,547 198,896 17,209 11,171 5,657 5.2 4.3 2.8 195 7,785Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,195 71,169 70,302 72,387 –1,192 4,761 3,124 6.7 6.2 4.3 39 1,481State College, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,800 73,171 72,345 68,414 6,386 3,211 2,373 4.3 4.0 3.5 69 1,911Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297,175 291,655 285,213 258,920 38,255 31,045 17,997 10.4 7.9 7.0 121 7,205Sumter, 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 9,156Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190,411 186,280 176,427 172,551 17,860 8,744 5,504 4.6 3.2 3.2 111 5,099Tampa-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 54,112Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,494 80,138 80,477 81,386 –1,892 5,310 3,334 6.7 6.8 4.1 61 2,324Texarkana, TX-Texarkana, AR . . . . . . . . . . . . . . . . . . . . . 63,832 62,755 61,918 58,608 5,224 2,966 2,813 4.6 5.2 4.8 53 1,783Toledo, 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 5,113Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200,226 197,268 194,770 180,174 20,052 9,756 5,867 4.9 3.9 3.3 147 21,706Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 478,687 459,272 439,363 408,961 69,726 24,565 15,245 5.1 4.4 3.7 194 11,214Tulsa, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 437,546 441,602 442,396 440,318 –2,772 16,761 12,940 3.8 4.4 2.9 305 16,794Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,729 99,328 94,423 93,105 5,624 4,409 3,458 4.5 3.4 3.7 60 2,691Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,942 97,099 95,759 86,261 12,681 4,902 3,832 5.0 5.0 4.4 76 3,369








Unemploymentrate1

Numberof


Change,2000–2008 2008 2000 2008 2005 2000

Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142,194 141,471 143,152 142,815 –621 8,020 5,648 5.6 4.9 4.0 85 3,724Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,495 68,152 65,238 56,449 13,046 3,752 2,486 5.4 3.9 4.4 44 2,232Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213,476 210,377 209,644 194,209 19,267 14,748 8,994 6.9 5.4 4.6 66 3,193Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,205 57,342 56,881 55,698 2,507 2,343 2,182 4.0 4.7 3.9 33 1,947Vineland-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 18,642Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . 201,658 193,564 184,373 171,834 29,824 21,860 17,834 10.8 9.5 10.4 69 3,603Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111,016 110,699 112,471 103,656 7,360 5,081 4,332 4.6 5.0 4.2 55 3,121Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,321 68,064 62,975 53,848 15,473 3,588 1,802 5.2 4.7 3.3 30 1,368Washington-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 27,050Washington-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 2,292Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,249 76,205 74,623 72,351 2,898 3,321 2,355 4.4 4.2 3.3 63 2,517Weirton-Steubenville, WV-OH. . . . . . . . . . . . . . . . . . . . . . 58,487 57,331 57,618 59,245 –758 3,788 3,079 6.5 7.3 5.2 50 1,757Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,118 61,217 59,163 54,536 7,582 3,395 3,456 5.5 5.7 6.3 38 1,769Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,093 68,833 68,715 69,391 –298 3,624 3,803 5.2 5.7 5.5 70 2,626Wichita, 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 2,055Williamsport, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,012 58,896 59,260 59,251 761 3,574 2,574 6.0 5.4 4.3 55 1,611Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178,819 175,450 163,362 142,532 36,287 10,329 5,640 5.8 4.5 4.0 139 5,853Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,766 65,600 62,030 54,907 9,859 2,814 1,250 4.3 3.0 2.3 57 2,136Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239,639 236,569 232,067 223,086 16,553 14,127 7,516 5.9 4.7 3.4 142 15,736Worcester, 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 2,206York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227,855 223,805 218,782 208,916 18,939 10,979 6,958 4.8 4.2 3.3 156 5,809Youngstown-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 8,543Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,100 69,044 66,067 62,152 7,948 8,526 5,482 12.2 9.5 8.8 29 1,539Yuma, 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.

1Civilian unemployed as percent of total civilian labor force.2As of June 30. Covers all FDIC-insured commercial banks and savings institutions and does not include U.S. branches of foreign banks.3The 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,




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 bythe 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 DepositInsurance Corporation (FDIC) and Office of Thrift Supervision (OTS) released October 8, 2008 (related Internet site <http://www2.fdic.gov/sod/index.asp>).


Table B–14. Metropolitan Areas — Federal Government Expenditures and Private BusinessEstablishments and Employment



Federal government expenditures Private nonfarm business

2007

2000(mil.dol.)

Establishments Employment2

Annualpayroll

peremployee,

2006(dol.)

Total(mil.dol.)

Per-centagechange,

2000–2007

Percapita1

(dol.)

Direct paymentsto individuals

Salariesand

wages(mil.dol.)

Totaldefense

(mil.dol.) 2006

Change,2000–2006 2006

Change,2000–2006

Amount(mil.dol.)

Per-centage

oftotal

expend-itures

Abilene, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,368.1 45.2 8,596 703.9 51.5 332.5 432.5 942.4 3,993 –24 55,895 2,591 26,599Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,628.4 55.8 6,621 3,111.8 67.2 190.1 413.4 2,970.1 17,545 –4 297,342 –4,817 36,810Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,257.2 35.8 7,669 674.0 53.6 153.9 292.2 926.0 3,467 175 51,748 –1,120 29,834Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . . . 11,591.5 34.9 13,612 4,106.4 35.4 591.2 1,153.1 8,589.9 21,075 1,797 340,405 20,861 36,098Albuquerque, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,496.5 65.8 11,400 3,201.5 33.7 1,130.1 1,290.7 5,729.3 19,436 1,471 309,426 28,600 34,149Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,270.9 55.3 8,325 743.7 58.5 169.3 119.6 818.6 3,469 182 50,317 577 28,695

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . . . 5,282.1 67.8 6,582 3,689.9 69.9 223.4 235.0 3,147.7 18,854 1,141 301,539 14,133 38,892Altoona, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,068.4 48.7 8,524 796.7 74.6 64.5 17.2 718.6 3,334 45 51,122 –729 28,233Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,948.6 111.6 16,308 879.4 22.3 142.0 2,192.0 1,866.4 5,943 161 93,274 (NA) 31,378Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 653.1 80.1 7,656 239.2 36.6 73.1 27.7 362.6 2,009 76 29,268 766 28,125Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,306.8 76.3 11,960 929.9 21.6 1,155.7 1,878.2 2,443.6 10,299 990 150,290 27,883 47,375Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 866.9 42.4 6,609 682.1 78.7 23.8 13.6 608.8 2,619 –154 39,360 –2,986 28,355

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 988.2 56.4 5,491 742.0 75.1 38.8 44.2 631.7 3,826 101 54,401 –4,597 28,833Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,375.5 52.4 6,827 985.0 41.5 237.0 157.3 1,558.7 8,286 34 149,581 –7,883 42,525Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,647.7 79.2 14,600 722.5 43.8 150.9 796.9 919.5 2,549 –17 42,071 1,457 27,727Appleton, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 925.3 67.6 4,248 607.2 65.6 48.0 85.5 552.1 5,954 472 108,806 –606 35,048Asheville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,912.0 56.2 7,216 1,965.9 67.5 231.0 147.6 1,864.0 11,716 1,413 153,472 6,240 29,985Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . 1,033.3 51.6 5,546 550.8 53.3 122.7 45.3 681.8 4,417 588 57,600 3,180 28,940

Atlanta-Sandy Springs-Marietta, GA . . . . . . . . . . . . . . . . . 34,959.6 86.6 6,645 13,504.5 38.6 3,774.3 6,806.1 18,732.6 134,164 18,449 2,204,005 65,730 43,606Atlantic City-Hammonton, NJ . . . . . . . . . . . . . . . . . . . . . . 1,944.1 42.8 7,201 1,163.2 59.8 274.8 143.9 1,361.5 6,901 524 129,842 9,284 34,036Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 678.0 85.4 5,194 389.9 57.5 36.3 61.5 365.6 2,315 323 39,325 7,054 27,193Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . . . 5,992.7 44.7 11,343 2,319.1 38.7 878.7 1,227.6 4,140.7 10,777 770 179,477 2,253 34,247Austin-Round Rock, TX. . . . . . . . . . . . . . . . . . . . . . . . . . 11,590.6 72.2 7,278 4,003.9 34.5 791.6 1,359.3 6,731.6 37,489 5,667 609,646 59,228 42,541Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,643.4 30.3 5,899 2,457.6 52.9 713.3 837.8 3,562.6 12,248 1,355 183,412 33,102 35,183

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . . . 28,252.9 50.4 10,606 12,845.2 45.5 3,813.8 6,379.7 18,779.0 67,831 5,582 1,120,924 76,403 42,480Bangor, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,175.7 47.7 7,916 689.5 58.6 108.4 101.1 795.9 4,259 86 60,078 3,236 29,904Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,180.4 45.1 9,822 1,469.3 67.4 187.1 148.5 1,503.2 8,654 315 75,544 3,357 35,716Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,623.0 238.1 15,107 2,885.7 24.8 299.5 228.5 3,438.3 17,326 1,245 316,414 35,250 34,934Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,156.3 44.5 8,481 677.3 58.6 185.8 185.5 800.1 2,874 –155 53,639 –7,080 37,230Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 671.3 40.8 6,253 524.2 78.1 21.3 5.8 476.9 2,428 –128 31,884 –3,452 34,527

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . . . 2,754.7 35.3 7,318 1,844.8 67.0 161.1 118.7 2,035.9 7,844 –263 133,641 4,494 36,530Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,749.0 115.4 9,093 640.4 36.6 84.5 769.0 811.9 6,313 927 71,030 11,393 32,600Bend, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 774.3 87.9 5,035 545.4 70.4 58.3 35.1 412.1 6,376 1,886 60,467 17,581 30,935Billings, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 967.2 44.1 6,471 573.6 59.3 147.1 24.5 671.0 5,750 554 69,960 9,138 30,927Binghamton, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,805.5 68.1 11,411 1,119.3 39.9 70.0 1,236.9 1,669.3 5,087 –12 89,387 –1,961 33,767Birmingham-Hoover, AL . . . . . . . . . . . . . . . . . . . . . . . . . 8,366.6 58.5 7,547 5,191.5 62.0 732.5 414.9 5,277.7 26,878 1,244 468,739 3,109 38,536

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,013.2 47.0 9,824 411.3 40.6 91.5 126.4 689.4 3,288 316 48,148 6,035 31,652Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . . . 995.4 58.8 6,326 582.6 58.5 41.4 153.8 626.7 3,338 197 51,276 2,085 30,053Bloomington, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,127.1 47.0 6,172 600.0 53.2 52.4 85.4 766.6 3,995 111 58,980 2,142 28,354Bloomington-Normal, IL. . . . . . . . . . . . . . . . . . . . . . . . . . 761.8 74.9 4,654 443.1 58.2 59.1 14.6 435.5 3,759 217 81,307 –1,418 41,033Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,251.0 59.5 5,542 1,708.9 52.6 406.2 232.1 2,037.6 17,768 4,083 238,347 40,691 36,119

Boston-Cambridge-Quincy, MA-NH . . . . . . . . . . . . . . . . 43,231.5 51.2 9,623 18,300.6 42.3 3,097.5 10,046.7 28,586.7 125,606 230 2,304,956 –47,564 52,770Boston-Quincy, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,326.0 34.7 9,252 7,972.8 46.0 1,606.3 1,180.8 12,861.9 51,474 –432 1,054,251 –2,191 55,629Cambridge-Newton-Framingham, MA. . . . . . . . . . . . . . . 16,932.9 67.4 11,521 5,793.7 34.2 1,001.4 6,488.8 10,117.6 42,945 –129 811,945 –41,009 55,254Peabody, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,439.1 55.7 8,790 3,094.4 48.1 270.5 1,925.3 4,135.3 18,549 –39 268,696 –13,670 42,771Rockingham County-Strafford County, NH. . . . . . . . . . . . 2,533.5 72.1 6,072 1,439.8 56.8 219.3 451.7 1,471.9 12,638 830 170,064 9,306 38,983

Boulder, CO3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,101.2 (X) 7,275 829.3 39.5 229.2 195.7 1,499.2 11,483 (X) 136,269 (X) 48,238

Bowling Green, KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 634.0 42.2 5,480 424.9 67.0 43.8 18.6 446.0 2,852 250 49,521 5,115 29,826Bradenton-Sarasota-Venice, FL . . . . . . . . . . . . . . . . . . . . 5,275.1 59.5 7,701 4,379.2 83.0 161.5 265.9 3,307.2 21,302 4,430 232,215 –10,285 33,127Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . . . 3,450.4 45.8 14,488 1,171.3 33.9 1,250.6 1,993.8 2,366.8 6,065 825 59,927 10,038 30,278Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . . . 6,774.4 51.1 7,607 3,358.5 49.6 279.5 1,871.5 4,483.6 28,595 8 478,460 33,530 64,321Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . . . 2,029.8 49.9 5,274 1,086.2 53.5 173.3 49.8 1,354.5 6,353 557 95,671 9,174 22,261Brunswick, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 992.7 67.3 9,781 493.4 49.7 165.4 77.7 593.5 3,061 287 35,812 1,778 28,823

Buffalo-Niagara Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . 8,819.5 36.3 7,829 5,507.1 62.4 684.4 404.2 6,472.4 27,220 384 478,061 410 33,688Burlington, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 773.6 60.8 5,343 563.8 72.9 21.9 28.1 481.3 3,333 –15 53,845 –6,133 29,998Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . . . 2,161.1 90.5 10,429 697.9 32.3 231.8 812.9 1,134.7 6,868 254 96,655 (NA) 37,285Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . 2,698.7 61.0 6,621 2,067.3 76.6 114.9 48.1 1,676.7 9,727 –237 161,871 –7,755 31,522Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . . . . . . . 3,571.9 64.8 6,073 2,914.5 81.6 186.0 85.1 2,167.5 16,945 4,552 199,318 56,264 33,443Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 739.3 51.0 13,510 272.3 36.8 37.5 48.6 489.6 2,473 123 27,581 2,796 34,911

Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 434.2 36.9 6,048 253.4 58.4 47.9 16.6 317.2 2,895 270 32,724 5,167 36,189Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,305.1 56.3 9,130 872.0 37.8 91.8 888.9 1,474.9 6,653 209 116,600 –7,176 37,293Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . . . 1,384.7 45.0 6,193 637.5 46.0 100.3 85.9 955.2 5,008 146 80,583 2,960 29,630Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,138.9 48.5 10,337 1,758.5 56.0 233.2 169.5 2,113.3 7,602 –243 121,737 3,558 33,416Charleston-North Charleston-Summerville, SC . . . . . . . . . . 7,664.6 111.6 12,158 2,528.6 33.0 1,036.2 3,555.0 3,622.7 16,530 2,460 239,961 20,462 32,329Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . . . 7,833.4 69.7 4,758 4,706.5 60.1 602.3 359.4 4,616.3 44,159 5,362 774,865 51,471 42,221

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,601.0 82.9 8,332 704.9 44.0 99.1 398.9 875.3 5,815 805 76,975 6,178 35,939Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,830.8 25.6 7,450 2,354.0 61.4 218.6 123.8 3,049.3 11,534 199 220,319 7,805 33,341Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,130.4 46.0 13,071 403.6 35.7 303.6 357.4 774.2 2,559 271 30,589 3,688 32,182Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . . . 57,387.5 46.4 6,043 32,855.1 57.3 5,491.8 4,981.1 39,192.9 241,704 14,104 4,106,568 –135,735 46,754

Chicago-Naperville-Joliet, IL . . . . . . . . . . . . . . . . . . . . . 48,095.1 46.0 6,065 27,336.3 56.8 4,225.9 3,392.2 32,949.3 203,810 12,063 3,487,476 –153,575 47,163Gary, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,187.5 46.1 6,002 3,010.9 71.9 170.1 102.4 2,866.6 15,145 745 243,000 357 35,039Lake County-Kenosha County, IL-WI . . . . . . . . . . . . . . . 5,104.9 51.2 5,873 2,507.8 49.1 1,095.8 1,486.5 3,377.1 22,749 1,296 376,092 17,483 50,535



Table B–14. Metropolitan Areas — Federal Government Expenditures and Private BusinessEstablishments and Employment—Con.




2007

2000(mil.dol.)


Annualpayroll

peremployee,

2006(dol.)

Total(mil.dol.)

Per-centagechange,

2000–2007

Percapita1

(dol.)


Salariesand

wages(mil.dol.)

Totaldefense

(mil.dol.) 2006

Change,2000–2006 2006

Change,2000–2006

Amount(mil.dol.)

Per-centage

oftotal

expend-itures

Chico, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,389.1 39.3 6,366 1,045.4 75.3 39.9 23.6 997.1 4,980 383 59,578 5,802 28,620Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . . . 16,755.9 72.4 7,816 9,410.6 56.2 1,256.0 2,723.4 9,717.8 48,430 899 927,832 –30,815 39,485Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,666.8 88.0 14,003 1,018.0 27.8 1,644.1 2,372.3 1,950.7 4,213 251 67,938 7,930 27,856Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 652.7 64.3 5,885 481.2 73.7 19.5 11.1 397.3 2,229 98 38,623 –3,539 30,567Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . . . 16,620.1 55.4 7,934 10,797.6 65.0 1,406.9 624.0 10,697.9 55,993 –958 965,951 –91,383 39,927Coeur d’Alene, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 927.7 116.3 6,912 515.1 55.5 44.7 34.1 428.8 4,650 987 46,995 9,983 29,017

College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . . . 1,110.7 47.4 5,466 542.3 48.8 77.0 84.3 753.4 4,244 524 57,233 5,464 27,111Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,997.3 73.9 11,511 2,328.7 33.3 1,774.3 4,612.1 4,023.3 16,817 2,512 224,285 8,998 35,616Columbia, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,014.5 53.1 6,266 515.4 50.8 134.8 32.8 662.5 4,540 528 69,454 5,126 29,948Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,843.7 73.3 9,562 2,889.1 42.2 1,123.5 1,480.8 3,950.0 17,341 1,226 283,113 11,057 32,456Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,803.2 77.6 13,257 1,420.2 37.3 1,189.1 1,982.0 2,141.1 5,919 260 98,483 –6,985 29,237Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 470.9 66.7 6,314 283.8 60.3 47.6 65.9 282.4 1,895 –77 40,364 1,799 38,685

Columbus, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,757.1 68.7 7,848 6,484.9 47.1 1,044.4 2,086.4 8,153.0 40,797 2,157 785,131 –14,384 40,068Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,988.7 29.2 7,236 1,736.0 58.1 407.2 584.6 2,312.9 9,604 242 146,141 13,436 31,855Corvallis, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 521.9 63.1 6,431 247.2 47.4 43.3 47.1 319.9 2,081 154 26,390 –868 36,902Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . 914.3 37.4 9,207 601.7 65.8 45.9 103.6 665.2 2,264 –63 31,478 1,342 27,211Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . 40,741.7 83.4 6,621 15,519.3 38.1 3,516.1 16,806.1 22,214.4 137,769 10,952 2,563,197 16,366 44,807

Dallas-Plano-Irving, TX . . . . . . . . . . . . . . . . . . . . . . . . 21,970.9 71.3 5,321 9,883.9 45.0 2,335.4 5,999.6 12,827.4 96,028 7,204 1,814,250 –38,506 47,532Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . . . . . 18,770.9 100.0 9,272 5,635.4 30.0 1,180.7 10,806.5 9,387.0 41,741 3,748 748,947 54,872 38,208

Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 554.2 49.7 4,162 407.9 73.6 20.5 11.1 370.2 3,006 –35 66,657 –359 31,448Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 686.2 49.1 8,454 423.8 61.8 78.5 7.5 460.1 1,634 –120 27,012 –1,971 29,612Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 642.2 28.0 6,061 511.6 79.7 18.0 11.8 501.8 2,414 –19 34,977 –3,999 28,407Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . . . 2,815.4 51.0 7,495 1,700.7 60.4 315.8 512.9 1,864.0 9,545 –44 160,900 –7,563 33,004Dayton, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,132.9 34.7 9,696 4,263.5 52.4 1,314.6 2,412.3 6,038.0 18,787 –312 360,892 –21,744 34,920Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 888.9 34.4 5,966 667.7 75.1 35.8 36.7 661.3 3,195 45 50,093 –1,952 31,837

Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 781.7 48.5 7,194 523.2 66.9 32.4 15.8 526.5 2,641 –81 47,532 –9,603 34,844Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . . . 3,524.3 51.1 7,052 2,898.0 82.2 114.4 160.8 2,332.3 13,221 2,419 148,935 17,675 28,135Denver-Aurora, CO3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,136.8 (X) 6,577 7,064.6 43.8 2,389.5 2,347.8 11,190.0 74,679 (X) 1,089,586 (X) 45,351Des Moines-West Des Moines, IA. . . . . . . . . . . . . . . . . . . 3,755.2 55.5 6,882 1,872.0 49.9 442.5 206.5 2,414.4 14,913 1,149 284,810 18,671 40,585Detroit-Warren-Livonia, MI. . . . . . . . . . . . . . . . . . . . . . . 31,779.3 54.2 7,129 19,196.6 60.4 2,098.6 4,582.5 20,612.1 104,968 –933 1,813,247 –185,307 44,855

Detroit-Livonia-Dearborn, MI . . . . . . . . . . . . . . . . . . . . . 14,859.7 29.6 7,499 9,683.6 65.2 1,208.6 236.8 11,467.2 34,718 –1,293 663,804 –93,683 45,351Warren-Troy-Farmington Hills, MI . . . . . . . . . . . . . . . . . 16,919.6 85.0 6,834 9,513.0 56.2 889.9 4,345.7 9,144.9 70,250 360 1,149,443 –91,624 44,569

Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,005.5 50.0 7,216 731.1 72.7 35.6 57.8 670.2 3,730 169 57,688 2,850 29,214Dover, DE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,432.4 58.4 9,442 654.5 45.7 271.1 487.0 904.3 3,253 292 50,888 6,488 29,262Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 509.8 43.5 5,524 364.1 71.4 22.9 26.4 355.3 2,771 112 51,617 1,629 31,212Duluth, MN-WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,130.7 47.0 7,783 1,478.1 69.4 132.6 96.8 1,449.1 7,516 185 106,454 4,203 31,563Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,238.5 65.8 8,867 1,492.0 35.2 415.6 157.4 2,555.9 11,272 751 234,507 11,389 47,689Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 817.8 47.0 5,190 554.5 67.8 50.6 38.3 556.2 4,113 191 68,323 4,791 30,474

El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 913.5 40.9 5,680 499.3 54.7 133.2 42.1 648.1 2,477 204 34,156 8,803 25,667Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,267.3 30.9 11,356 555.0 43.8 576.5 627.5 968.5 2,437 259 38,743 4,115 27,306Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 817.8 64.5 4,138 565.5 69.2 24.3 22.9 497.0 5,184 172 131,669 13,315 33,019Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 638.7 38.2 7,265 416.8 65.3 26.8 8.2 462.3 1,899 –18 32,871 –2,284 30,600El Paso, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,931.0 76.1 8,125 2,481.7 41.8 1,261.4 2,147.6 3,368.2 12,866 556 201,580 1,699 26,137Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,933.2 52.4 6,922 1,334.6 69.0 122.0 57.8 1,268.2 6,658 –305 118,412 –3,988 30,795

Eugene-Springfield, OR . . . . . . . . . . . . . . . . . . . . . . . . . 2,105.9 50.0 6,143 1,418.4 67.4 134.8 62.3 1,404.0 10,146 456 126,097 6,572 31,670Evansville, IN-KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,259.7 42.6 6,461 1,491.9 66.0 105.9 209.3 1,584.6 8,860 –50 169,955 4,715 34,074Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,592.6 73.9 16,253 216.1 13.6 552.2 1,008.3 915.8 2,489 314 26,983 5,375 41,336Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,301.9 68.3 6,783 603.6 46.4 167.9 107.5 773.6 5,989 669 100,069 12,029 32,009Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 701.3 50.2 5,737 360.3 51.4 90.4 17.3 466.8 2,851 364 39,829 5,489 34,251Fayetteville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,054.9 75.5 17,246 1,554.9 25.7 2,970.9 4,104.7 3,449.8 6,093 505 95,841 1,987 27,622

Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . . . 2,187.4 87.2 5,033 1,284.0 58.7 164.0 175.7 1,168.3 10,705 2,282 190,299 44,746 33,499Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 913.4 43.7 7,172 418.1 45.8 137.7 40.8 635.7 3,850 392 47,456 8,539 28,283Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,736.3 40.9 6,305 2,092.9 76.5 113.3 27.5 1,941.7 8,754 –363 134,327 –17,412 36,228Florence, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,259.4 41.4 6,343 872.7 69.3 64.8 39.2 890.6 4,468 –69 76,042 –1,875 31,120Florence-Muscle Shoals, AL. . . . . . . . . . . . . . . . . . . . . . . 1,112.9 40.5 7,782 817.9 73.5 32.8 26.1 792.3 3,309 –55 47,499 –3,163 25,589Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 501.4 40.6 5,063 378.6 75.5 19.1 7.4 356.6 2,482 –34 42,592 –2,514 31,668

Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . . . 1,388.4 64.4 4,842 802.0 57.8 183.8 58.0 844.6 9,349 1,332 108,282 14,704 34,747Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,957.1 62.7 6,774 1,291.2 66.0 142.0 151.7 1,203.0 6,270 443 109,606 2,210 29,963Fort Walton Beach-Crestview-Destin, FL . . . . . . . . . . . . . . 3,268.0 52.5 18,046 1,107.8 33.9 752.7 2,236.8 2,143.5 5,650 852 72,236 13,940 29,865Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,768.6 67.1 6,766 1,373.8 49.6 192.0 687.5 1,657.0 10,904 651 194,265 –7,773 34,136Fresno, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,779.8 40.1 5,342 2,572.5 53.8 608.4 222.8 3,411.7 16,361 1,081 257,975 45,025 33,323Gadsden, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 780.6 50.1 7,572 594.7 76.2 25.1 24.2 520.1 2,184 29 32,494 –1,851 26,279

Gainesville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,001.0 71.1 7,804 1,026.5 51.3 260.8 81.4 1,169.8 6,106 765 88,695 6,213 31,692Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 906.6 110.6 5,076 489.6 54.0 38.7 190.8 430.4 4,040 678 61,248 3,393 35,476Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 809.6 54.9 6,302 547.5 67.6 33.9 21.8 522.6 3,422 29 42,417 –2,831 31,568Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,114.3 46.0 9,827 530.6 47.6 268.2 407.3 763.3 2,298 –42 38,970 1,253 27,605Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 941.9 33.6 9,732 393.7 41.8 197.4 231.1 704.9 2,619 49 40,387 3,990 27,819Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . 799.4 47.0 5,756 547.9 68.5 81.0 54.6 543.6 4,737 843 50,397 7,047 31,157

Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . . . 3,705.8 45.5 4,782 2,435.2 65.7 268.6 126.7 2,547.5 19,126 1,035 358,460 –10,140 36,387Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 883.4 33.6 10,801 400.6 45.3 274.5 352.4 661.3 2,597 33 29,419 1,661 26,996Greeley, CO3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 821.2 (X) 3,384 529.4 64.5 48.7 54.0 528.4 4,963 (X) 62,578 (X) 34,651Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,689.1 170.2 8,932 2,169.8 80.7 91.6 65.3 995.3 7,979 341 150,823 4,688 35,896Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . . . 4,274.1 62.2 6,143 2,555.2 59.8 404.1 261.8 2,635.0 18,587 363 331,482 –10,604 34,213Greenville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 930.6 53.6 5,384 584.8 62.8 34.6 56.0 605.8 3,781 355 58,896 3,827 29,031







2007

2000(mil.dol.)


Annualpayroll

peremployee,

2006(dol.)

Total(mil.dol.)

Per-centagechange,

2000–2007

Percapita1

(dol.)


Salariesand

wages(mil.dol.)

Totaldefense

(mil.dol.) 2006

Change,2000–2006 2006

Change,2000–2006

Amount(mil.dol.)

Per-centage

oftotal

expend-itures

Greenville-Mauldin-Easley, SC . . . . . . . . . . . . . . . . . . . . . 3,742.3 75.5 6,109 2,238.7 59.8 194.4 543.9 2,131.8 15,324 600 278,854 –11,943 34,607Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,993.8 90.1 17,240 1,193.9 29.9 775.0 1,277.9 2,100.8 5,156 –348 72,050 –20,180 33,927Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . . . 1,854.5 61.2 7,118 1,034.8 55.8 262.9 141.2 1,150.2 5,606 587 88,548 7,735 31,232Hanford-Corcoran, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 839.5 24.0 5,664 369.3 44.0 218.1 245.8 677.0 1,613 74 23,610 5,070 30,392Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . . . 6,831.8 46.6 12,942 3,252.8 47.6 549.2 712.0 4,659.7 13,571 672 267,698 10,261 36,996Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 512.4 66.2 4,364 337.6 65.9 25.4 59.4 308.4 3,151 456 53,528 5,299 28,423

Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . . . 12,468.2 96.5 10,509 4,877.0 39.1 566.4 4,467.6 6,343.7 30,325 360 559,866 (NA) 46,992Hattiesburg, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,002.1 79.8 7,237 561.8 56.1 109.5 183.5 557.3 3,261 257 49,757 6,428 28,317Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . . . 1,902.1 70.6 5,290 1,344.5 70.7 77.8 53.8 1,115.2 8,178 51 143,543 –24,585 30,057Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . . . 1,235.5 398.3 17,225 233.4 18.9 913.8 967.8 247.9 885 103 10,715 1,005 26,276Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . . . 1,187.4 73.4 4,594 712.4 60.0 40.4 122.4 684.7 6,176 286 101,651 –6,154 33,957Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,126.0 53.5 12,355 3,790.5 34.1 3,462.5 5,204.5 7,249.7 22,164 1,527 359,474 43,612 35,024

Hot Springs, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 827.0 53.8 8,592 646.1 78.1 38.1 39.7 537.7 2,834 263 34,136 3,205 24,985Houma-Bayou Cane-Thibodaux, LA . . . . . . . . . . . . . . . . . 1,252.2 63.9 6,229 790.0 63.1 34.9 30.6 763.9 4,719 185 76,951 13,424 38,511Houston-Sugar Land-Baytown, TX . . . . . . . . . . . . . . . . . . 29,405.9 49.3 5,253 14,051.4 47.8 2,479.6 4,965.0 19,689.3 117,776 9,907 2,116,579 149,078 48,058Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . . . 2,386.7 43.2 8,406 1,628.1 68.2 181.8 65.5 1,666.1 6,186 –142 96,110 2,470 30,611Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,691.7 93.1 25,087 1,710.9 17.7 867.2 6,461.7 5,019.9 9,150 842 162,959 18,879 37,913Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,081.2 63.1 17,470 354.7 17.0 60.7 26.1 1,276.3 3,646 696 50,355 9,257 32,179

Indianapolis-Carmel, IN. . . . . . . . . . . . . . . . . . . . . . . . . . 11,641.5 54.8 6,877 5,993.8 51.5 1,173.4 1,613.6 7,520.6 43,409 3,059 805,308 25,146 39,839Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 974.4 50.9 6,643 362.8 37.2 107.6 29.7 645.7 3,709 334 61,400 4,421 32,442Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 715.8 39.4 7,130 281.9 39.4 27.0 34.7 513.3 2,212 87 45,318 3,518 30,014Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 940.2 52.3 5,778 667.4 71.0 60.1 66.7 617.4 3,344 –67 51,564 –3,132 34,287Jackson, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,444.9 108.4 12,074 2,101.2 32.6 427.3 675.9 3,091.9 12,915 868 215,991 2,345 32,639Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 677.4 40.7 6,028 470.0 69.4 38.3 22.4 481.5 2,830 –35 55,487 –1,164 32,346

Jacksonville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,723.5 62.4 8,263 6,339.6 59.1 1,803.7 2,749.7 6,603.9 35,216 6,598 539,647 59,792 37,274Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,080.0 93.4 18,857 616.3 20.0 1,746.2 2,368.9 1,592.6 2,713 111 31,723 2,546 22,262Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 943.1 62.0 5,916 575.0 61.0 27.6 142.8 582.1 3,562 202 61,264 511 36,375Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,101.3 60.6 14,475 711.5 33.9 79.7 93.8 1,308.6 3,691 227 52,123 –1,688 30,696Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,470.7 46.8 7,608 936.3 63.7 136.4 54.3 1,002.0 3,864 114 65,754 381 27,907Johnstown, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,588.2 49.6 10,953 987.5 62.2 116.6 277.1 1,061.8 3,558 10 51,450 36 28,273

Jonesboro, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 749.1 40.7 6,483 470.4 62.8 49.8 30.6 532.5 2,842 177 42,116 3,089 27,166Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,002.2 4.0 5,860 685.6 68.4 37.9 41.5 963.8 4,455 374 72,777 1,431 29,766Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . . 1,727.7 41.0 5,360 1,185.2 68.6 109.0 37.9 1,225.3 7,245 –206 125,263 –2,620 41,132Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . 644.2 37.3 5,776 480.8 74.6 26.3 9.9 469.3 2,384 95 36,613 –23,126 31,075Kansas City, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,357.5 65.6 7,751 7,429.8 48.4 2,056.9 1,699.5 9,272.1 52,531 2,507 914,103 8,532 39,374Kennewick-Pasco-Richland, WA . . . . . . . . . . . . . . . . . . . . 3,675.3 63.3 16,127 674.3 18.3 102.3 46.2 2,250.4 4,969 545 71,692 7,209 39,041

Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . . 5,570.7 80.1 15,025 1,529.9 27.5 2,983.5 3,760.2 3,093.5 5,786 617 93,904 7,500 29,663Kingsport-Bristol-Bristol, TN-VA . . . . . . . . . . . . . . . . . . . . 2,234.8 59.1 7,368 1,584.3 70.9 74.5 218.5 1,404.7 6,373 –84 111,634 1,866 31,706Kingston, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,041.3 47.6 5,734 699.0 67.1 42.6 30.7 705.3 4,888 530 48,449 2,720 29,339Knoxville, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,166.6 55.9 11,998 3,055.3 37.4 306.1 546.4 5,239.8 16,602 602 309,843 32,238 34,643Kokomo, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 615.5 48.1 6,176 466.1 75.7 25.8 10.4 415.6 2,311 21 42,686 –5,916 39,910La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 823.4 71.6 6,284 463.9 56.3 40.5 177.5 479.8 3,498 173 64,311 3,264 30,197

Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,017.1 55.8 5,332 535.1 52.6 59.1 40.6 652.9 3,961 108 69,899 –2,694 32,695Lafayette, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,338.9 58.7 5,225 838.1 62.6 90.9 37.5 843.6 8,253 936 125,598 14,636 34,542Lake Charles, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,311.0 75.1 6,832 792.6 60.5 58.7 105.6 748.7 4,396 –20 72,667 1,573 34,167Lake Havasu City-Kingman, AZ . . . . . . . . . . . . . . . . . . . . 1,322.4 76.8 6,752 1,011.4 76.5 34.7 32.3 747.8 4,399 953 49,720 14,875 27,158Lakeland-Winter Haven, FL . . . . . . . . . . . . . . . . . . . . . . . 3,281.1 61.0 5,727 2,636.2 80.3 109.6 139.6 2,037.4 11,690 2,081 195,445 33,980 30,918Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,725.6 62.5 5,473 1,884.9 69.2 128.8 128.1 1,677.2 12,139 699 222,257 7,677 33,398Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . . . 5,830.8 75.8 12,813 2,079.0 35.7 224.0 516.3 3,316.7 10,237 –48 164,787 –8,022 34,834

Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,177.5 63.1 5,087 519.8 44.1 143.3 11.5 721.9 4,725 645 64,800 11,584 23,422Las Cruces, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,573.9 57.1 7,947 696.4 44.2 168.0 435.0 1,001.6 3,700 489 46,791 9,741 25,047Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . . . 9,837.1 85.2 5,382 5,415.3 55.0 1,174.3 1,308.8 5,311.4 40,284 10,653 849,309 210,154 35,873Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 519.1 66.0 4,577 279.7 53.9 38.1 31.3 312.8 2,796 172 37,893 408 26,399Lawton, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,852.8 58.9 16,263 574.9 31.0 741.5 1,141.1 1,166.4 2,204 5 31,315 3,722 26,232Lebanon, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,030.0 78.9 8,055 595.6 57.8 146.9 186.8 575.8 2,661 93 44,810 7,180 30,375

Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 848.4 169.7 14,163 723.2 85.2 17.2 13.3 314.5 1,623 –38 21,717 1,037 30,768Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . 694.0 36.9 6,504 483.4 69.7 29.2 20.9 507.0 2,923 137 46,982 1,116 32,716Lexington-Fayette, KY . . . . . . . . . . . . . . . . . . . . . . . . . . 3,260.6 46.7 7,309 1,497.5 45.9 277.7 573.5 2,222.0 11,881 778 214,733 5,426 35,288Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,804.9 705.0 45,703 4,621.2 96.2 33.6 21.5 596.9 2,733 –106 51,943 104 31,439Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,115.1 55.2 7,262 902.4 42.7 222.9 166.5 1,362.8 8,179 630 136,554 4,355 31,640Little Rock-North Little Rock-Conway, AR . . . . . . . . . . . . . . 5,704.4 62.4 8,570 2,855.6 50.1 924.4 753.1 3,512.1 17,616 1,096 288,923 7,535 34,416

Logan, UT-ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 494.2 63.3 4,079 246.7 49.9 29.4 46.1 302.6 3,190 589 39,237 6,351 26,320Longview, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,211.7 41.9 5,963 913.5 75.4 49.7 36.9 854.0 5,282 203 80,745 9,804 31,800Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 585.3 39.0 5,841 434.4 74.2 19.1 16.1 420.9 2,331 –4 32,593 79 36,248Los Angeles-Long Beach-Santa Ana, CA . . . . . . . . . . . . 81,158.4 43.6 6,348 39,277.8 48.4 5,089.8 15,630.2 56,535.0 339,564 34,726 5,374,338 131,750 45,269

Los Angeles-Long Beach-Glendale, CA . . . . . . . . . . . . . 64,545.8 37.5 6,581 30,610.3 47.4 4,067.4 12,359.6 46,940.7 249,977 23,695 3,895,886 32,015 44,887Santa Ana-Anaheim-Irvine, CA . . . . . . . . . . . . . . . . . . . 16,612.6 73.2 5,581 8,667.5 52.2 1,022.4 3,270.6 9,594.3 89,587 11,031 1,478,452 99,735 46,277

Louisville/Jefferson County, KY-IN . . . . . . . . . . . . . . . . . . . 8,747.1 60.6 7,098 4,941.8 56.5 632.2 1,330.6 5,445.9 30,476 1,033 542,492 –8,345 35,013Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,530.5 16.3 5,709 1,019.9 66.6 112.8 77.7 1,315.9 6,918 292 103,003 8,562 27,564Lynchburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,626.7 25.9 6,676 1,081.2 66.5 67.4 88.8 1,291.9 6,279 469 95,821 –709 32,070Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,577.4 38.0 6,863 1,111.7 70.5 123.4 65.7 1,143.1 5,444 49 86,681 –4,575 32,017Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 662.0 51.6 4,545 444.3 67.1 29.5 10.0 436.8 2,076 211 24,957 1,797 32,636Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,285.6 45.2 7,732 1,715.4 40.0 366.5 187.6 2,952.1 15,623 1,206 281,872 31,808 37,427







2007

2000(mil.dol.)


Annualpayroll

peremployee,

2006(dol.)

Total(mil.dol.)

Per-centagechange,

2000–2007

Percapita1

(dol.)


Salariesand

wages(mil.dol.)

Totaldefense

(mil.dol.) 2006

Change,2000–2006 2006

Change,2000–2006

Amount(mil.dol.)

Per-centage

oftotal

expend-itures

Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . . . 3,193.0 80.5 7,962 1,346.1 42.2 358.4 1,039.1 1,769.1 11,205 301 185,115 8,167 42,333Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 843.2 58.0 6,699 594.6 70.5 51.5 26.1 533.7 2,959 –59 51,146 –641 29,382McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . . . 2,870.4 47.9 4,069 1,647.0 57.4 207.8 56.2 1,940.3 10,011 1,691 154,037 39,182 23,324Medford, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,235.9 45.1 6,210 883.5 71.5 108.9 42.2 851.8 6,267 903 71,691 9,437 30,899Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,835.8 46.1 7,689 4,721.2 48.0 1,015.1 1,978.0 6,731.6 26,852 490 552,166 –17,197 38,386Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,150.2 41.0 4,710 689.3 59.9 49.6 62.6 815.8 3,155 196 43,369 3,823 30,873

Miami-Fort Lauderdale-Pompano Beach, FL . . . . . . . . . . 34,915.0 37.7 6,475 24,474.9 70.1 2,676.6 1,648.9 25,359.5 177,851 24,504 2,031,977 109,536 38,982Fort Lauderdale-Pompano Beach-Deerfield Beach, FL . . . 10,618.6 56.1 6,072 7,807.0 73.5 602.8 497.0 6,803.2 58,607 8,279 665,570 46,169 38,419Miami-Miami Beach-Kendall, FL . . . . . . . . . . . . . . . . . . 15,244.5 31.0 6,397 9,762.7 64.0 1,590.7 728.9 11,639.0 75,599 9,090 868,560 14,171 38,902West Palm Beach-Boca Raton-Boynton Beach, FL . . . . . . 9,052.0 30.9 7,182 6,905.1 76.3 483.1 423.0 6,917.2 43,645 7,135 497,847 49,196 39,875

Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . . . . 628.0 49.8 5,695 475.0 75.6 18.2 7.1 419.3 2,578 –57 36,897 –3,380 30,528Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 513.7 45.3 4,069 388.2 75.6 38.5 18.4 353.5 4,227 189 54,114 8,114 38,646

Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . . . 9,119.7 34.4 5,909 5,822.8 63.8 827.0 343.6 6,783.3 40,503 633 789,858 –704 40,863Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . . . 19,609.8 56.9 6,133 10,134.2 51.7 1,807.3 2,247.3 12,495.1 93,652 9,120 1,660,777 31,238 45,696Missoula, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 682.1 51.2 6,457 349.5 51.2 95.3 41.7 451.1 4,198 575 48,900 7,583 29,305Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,129.2 104.7 10,218 1,966.1 47.6 229.4 1,411.2 2,016.9 9,283 52 160,984 4,543 34,230Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,311.6 40.0 4,541 1,611.1 69.7 73.8 65.1 1,650.5 9,126 869 141,928 21,295 34,062Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,092.5 46.0 6,343 741.8 67.9 49.4 29.8 748.4 4,609 169 70,480 –476 29,581

Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 742.2 57.5 4,841 574.9 77.4 20.1 7.4 471.3 2,617 131 39,983 428 35,886Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,546.4 47.4 12,423 2,202.0 48.4 567.8 869.5 3,084.4 8,318 277 139,360 3,406 31,738Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,053.1 38.0 8,959 450.7 42.8 143.6 45.1 762.9 2,678 58 40,605 5,021 29,867Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 850.1 58.9 6,332 630.3 74.2 24.5 32.0 534.8 2,391 92 45,781 –152 28,445Mount Vernon-Anacortes, WA . . . . . . . . . . . . . . . . . . . . . 689.7 52.6 5,951 499.9 72.5 27.2 47.3 451.9 3,614 357 39,766 4,109 33,036Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 688.4 40.6 5,977 501.2 72.8 31.5 9.9 489.8 2,603 –95 44,056 –6,407 27,616

Muskegon-Norton Shores, MI. . . . . . . . . . . . . . . . . . . . . . 984.5 32.7 5,654 735.4 74.7 32.2 44.4 742.1 3,558 –29 54,048 –3,416 32,810Myrtle Beach-North Myrtle Beach-Conway, SC . . . . . . . . . . 1,384.6 63.1 5,545 1,040.7 75.2 49.9 93.2 848.7 8,592 1,405 102,350 16,060 26,460Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 831.4 47.6 6,309 623.5 75.0 21.4 19.6 563.3 4,026 279 56,029 6,503 41,995Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . . . 1,724.0 73.1 5,497 1,401.3 81.3 55.1 37.3 996.0 10,760 2,285 119,036 26,812 36,169Nashville-Davidson—Murfreesboro—Franklin, TN . . . . . . . . 10,980.4 75.5 7,223 5,632.6 51.3 834.7 518.7 6,257.1 37,437 2,854 704,665 54,919 38,929New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . . . 6,027.7 38.1 7,139 3,699.0 61.4 440.4 138.2 4,365.2 20,795 20 339,907 979 41,340

New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . . . 11,871.4 33.9 10,701 5,188.2 43.7 964.3 2,305.3 8,867.1 28,689 –2,839 421,739 –109,806 40,390New York-Northern New Jersey-Long Island, NY-NJ-PA . . 135,312.5 42.4 7,151 73,901.2 54.6 9,595.2 8,042.3 95,044.1 538,777 23,718 7,644,206 76,159 58,422

Edison-New Brunswick, NJ. . . . . . . . . . . . . . . . . . . . . . 16,496.3 63.7 7,138 9,452.5 57.3 1,123.2 3,484.7 10,080.0 64,422 4,385 933,410 40,425 48,930Nassau-Suffolk, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . 19,145.5 42.9 6,683 12,082.1 63.1 1,496.1 1,647.6 13,398.1 96,199 5,533 1,123,631 38,481 43,029Newark-Union, NJ-PA . . . . . . . . . . . . . . . . . . . . . . . . . 13,323.2 38.0 6,288 7,973.6 59.8 1,186.2 863.7 9,653.3 61,724 1,483 924,401 –16,726 53,723New York-White Plains-Wayne, NY-NJ . . . . . . . . . . . . . . 86,347.4 39.5 7,426 44,393.0 51.4 5,789.7 2,046.3 61,912.8 316,432 12,317 4,662,764 13,979 64,964

Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . 1,018.9 35.4 6,394 763.0 74.9 30.0 9.3 752.7 3,871 –120 57,775 –2,724 34,443Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . . . 4,276.4 76.5 16,213 1,154.8 27.0 506.6 2,762.8 2,422.2 6,027 298 112,446 6,676 37,754Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,290.0 64.3 7,066 1,970.1 86.0 54.8 68.1 1,393.8 7,189 1,706 89,708 16,573 29,443Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 846.2 43.6 8,785 620.3 73.3 71.8 29.1 589.4 4,109 89 26,953 1,008 33,782Odessa, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 566.9 39.7 4,380 450.7 79.5 14.3 5.6 405.7 3,246 235 48,938 10,313 35,225Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,320.5 94.0 10,281 1,599.0 30.1 1,147.5 2,990.4 2,743.0 11,331 2,298 147,509 14,139 29,649

Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,690.8 46.8 8,990 4,835.0 45.2 1,968.2 2,519.7 7,283.5 32,151 2,416 469,888 32,701 32,942Olympia, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,775.0 68.7 11,652 1,129.7 40.7 84.0 155.9 1,645.1 5,840 790 64,030 11,061 32,479Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . . . 5,634.5 47.3 6,808 2,909.6 51.6 874.4 1,321.8 3,824.5 21,952 1,528 391,095 9,602 37,606Orlando-Kissimmee, FL. . . . . . . . . . . . . . . . . . . . . . . . . . 13,750.0 69.4 6,778 7,786.5 56.6 857.2 3,729.1 8,118.7 57,991 13,062 965,898 151,307 34,940Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,045.2 215.2 18,878 556.4 18.3 56.2 2,263.1 966.1 3,745 27 83,722 1,926 39,815Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 719.8 58.9 6,427 497.7 69.2 28.2 14.9 453.0 2,665 –52 44,720 –1,064 30,237

Oxnard-Thousand Oaks-Ventura, CA. . . . . . . . . . . . . . . . . 4,724.2 41.9 5,961 2,586.6 54.8 568.5 1,073.3 3,328.3 19,599 2,393 273,745 35,743 45,075Palm Bay-Melbourne-Titusville, FL . . . . . . . . . . . . . . . . . . 7,233.2 67.7 13,520 3,151.0 43.6 516.9 2,524.7 4,311.9 13,963 2,603 186,320 28,622 36,225Palm Coast, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 559.3 101.4 6,343 471.9 84.4 13.7 20.1 277.7 1,865 820 18,050 8,030 29,548Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . . 2,116.2 68.4 12,939 980.9 46.4 382.1 960.6 1,257.0 4,703 495 61,175 7,243 29,644Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . . . 1,362.7 52.7 8,481 878.1 64.4 163.6 36.3 892.7 3,978 –127 60,784 –1,784 29,704Pascagoula, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,767.9 220.6 31,339 663.0 13.9 134.7 3,431.1 1,487.3 2,625 –56 44,715 –871 34,860Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . . . 4,235.9 51.6 9,384 2,501.8 59.1 875.0 1,447.0 2,793.7 9,732 1,203 133,871 9,473 29,559

Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,466.3 45.3 6,651 1,530.0 62.0 174.3 300.0 1,697.1 8,902 71 169,895 6,399 40,453Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . 48,029.4 48.2 8,248 27,382.8 57.0 4,313.7 7,831.6 32,417.5 149,333 6,795 2,559,041 42,986 46,118

Camden, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,820.2 55.0 7,862 5,085.9 51.8 951.8 2,762.6 6,334.4 29,840 1,297 457,167 21,618 39,844Philadelphia, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,027.5 45.9 8,764 19,685.5 57.9 2,989.1 4,861.8 23,314.9 99,403 4,540 1,785,815 27,290 47,070Wilmington, DE-MD-NJ . . . . . . . . . . . . . . . . . . . . . . . . 4,181.7 51.1 6,046 2,611.4 62.4 372.9 207.3 2,768.2 20,090 958 316,059 –5,922 49,818

Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . . 25,219.0 74.3 6,054 13,023.5 51.6 1,868.5 5,127.6 14,468.1 90,648 16,593 1,638,331 258,951 39,043

Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,101.3 43.6 10,839 505.6 45.9 83.0 171.9 767.0 1,841 –33 29,401 –1,626 29,441Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23,561.5 46.2 10,008 15,514.5 65.8 1,485.0 1,853.4 16,121.0 61,206 424 1,056,137 –1,416 37,775Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,012.6 17.4 7,787 711.6 70.3 40.8 63.4 862.8 4,248 –135 58,261 –674 35,188Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 509.6 48.4 5,819 301.4 59.2 48.8 17.1 343.4 2,194 151 28,094 2,020 27,073Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . . . 4,807.5 59.4 9,383 2,083.1 43.3 572.4 1,693.1 3,015.1 17,911 1,683 227,818 12,268 35,921Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . . . 12,141.3 56.6 5,604 6,785.1 55.9 1,385.6 1,282.0 7,751.4 62,650 5,920 920,161 52,903 40,986

Port St. Lucie, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,728.1 60.4 6,839 2,261.6 82.9 78.2 88.1 1,700.5 10,350 2,275 112,791 22,550 30,776Poughkeepsie-Newburgh-Middletown, NY . . . . . . . . . . . . . 3,944.8 45.1 5,900 2,343.1 59.4 509.6 495.5 2,719.1 16,729 1,892 207,591 22,582 36,136Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,423.2 87.2 6,708 1,060.3 74.5 71.6 64.7 760.5 6,399 1,414 62,247 16,184 27,581Providence-New Bedford-Fall River, RI-MA. . . . . . . . . . . . . 12,796.5 36.5 8,006 6,977.6 54.5 987.6 1,941.5 9,377.4 43,780 2,027 645,132 (NA) 37,129Provo-Orem, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,406.5 69.0 2,690 862.3 61.3 93.3 89.5 832.2 10,251 2,976 154,285 10,180 31,380Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,083.0 40.1 7,002 742.6 68.6 53.6 61.1 773.2 3,317 130 45,388 –2,965 28,481







2007

2000(mil.dol.)


Annualpayroll

peremployee,

2006(dol.)

Total(mil.dol.)

Per-centagechange,

2000–2007

Percapita1

(dol.)


Salariesand

wages(mil.dol.)

Totaldefense

(mil.dol.) 2006

Change,2000–2006 2006

Change,2000–2006

Amount(mil.dol.)

Per-centage

oftotal

expend-itures

Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,261.5 54.6 8,273 1,106.8 87.7 25.1 30.5 816.2 3,919 846 37,277 5,592 29,838Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,055.8 54.7 5,305 722.8 68.5 34.8 106.8 682.6 4,339 191 72,174 –1,253 38,490Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,605.7 47.0 6,328 2,879.1 43.6 474.7 484.4 4,492.4 28,212 4,435 414,790 44,260 39,561Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,119.1 47.5 9,304 513.3 45.9 299.4 329.4 758.7 4,182 450 51,425 4,602 28,734Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,386.1 69.8 5,943 1,791.5 75.1 95.1 76.0 1,405.6 8,575 420 149,975 1,112 36,702Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,416.6 60.3 7,911 959.0 67.7 86.4 20.6 883.5 4,747 279 52,804 6,688 31,789

Reno-Sparks, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,366.1 75.9 5,787 1,309.3 55.3 244.0 360.5 1,345.4 12,510 1,295 199,345 29,538 37,095Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,102.3 66.2 8,341 4,855.0 48.1 1,255.3 2,037.1 6,077.0 31,865 3,214 524,176 27,156 40,711Riverside-San Bernardino-Ontario, CA. . . . . . . . . . . . . . . . 19,389.3 61.6 4,768 11,915.7 61.5 1,868.6 2,613.6 12,001.9 66,588 12,944 1,135,924 277,491 32,719Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,491.8 75.1 8,408 1,370.4 55.0 246.3 594.5 1,422.8 8,468 308 145,349 6,050 31,992Rochester, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,235.9 80.6 6,854 703.6 56.9 78.8 18.1 684.4 4,529 480 92,807 6,154 39,023Rochester, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,986.4 70.6 7,735 4,611.0 57.7 390.3 1,229.7 4,680.2 23,627 636 435,863 –7,426 36,241

Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,902.5 66.9 5,416 1,251.5 65.8 90.3 176.9 1,139.6 7,876 128 138,134 –9,242 35,562Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 958.8 32.8 6,597 650.7 67.9 48.2 33.3 721.8 3,205 –55 55,302 –2,654 30,454Rome, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 537.8 50.3 5,640 410.2 76.3 19.8 13.5 357.8 2,085 69 36,584 –1,360 29,808Sacramento—Arden-Arcade—Roseville, CA . . . . . . . . . . . . 19,717.1 38.6 9,469 8,449.6 42.9 1,060.5 1,519.8 14,225.7 46,856 6,457 722,019 108,600 39,960Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . . . 1,369.7 37.1 6,772 968.3 70.7 106.5 26.6 999.1 4,778 –245 82,170 –10,443 33,029St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,100.0 91.0 5,929 734.3 66.8 115.4 16.6 576.0 5,442 750 92,506 9,182 31,939

St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 661.1 110.3 4,954 438.2 66.3 99.9 89.2 314.4 4,124 1,613 42,899 16,260 27,480St. Joseph, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 791.2 41.8 6,288 528.9 66.8 43.6 31.0 558.1 3,152 202 45,901 2,998 30,473St. Louis, MO-IL4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29,058.1 63.9 10,358 12,311.5 42.4 2,410.7 10,798.0 17,728.9 72,131 3,859 1,262,357 38,240 39,752Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,731.6 51.6 7,093 1,475.4 54.0 130.3 144.1 1,801.3 9,319 726 116,034 8,626 30,629Salinas, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,791.6 57.0 6,899 1,316.6 47.2 567.9 846.2 1,778.4 8,940 365 108,660 3,592 36,946Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 682.0 32.1 5,713 462.4 67.8 33.2 44.9 516.3 3,167 228 46,084 5,608 30,828

Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,138.3 51.8 5,604 2,677.2 43.6 893.9 953.8 4,044.8 32,054 4,163 536,452 33,654 37,223San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 824.0 44.8 7,605 457.0 55.5 193.4 248.8 569.0 2,662 28 37,384 2,358 27,680San Antonio, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,688.7 62.7 8,912 8,313.9 47.0 3,169.3 7,018.5 10,868.9 39,852 4,087 701,133 63,335 34,171San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . . . 30,907.1 62.7 10,443 11,309.7 36.6 6,933.3 13,661.6 18,991.0 78,352 10,430 1,205,862 153,648 42,274Sandusky, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 660.3 87.9 8,557 455.8 69.0 22.1 10.4 351.3 1,966 –75 30,898 –2,166 34,839

San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . . . 31,014.3 40.0 7,356 14,952.7 48.2 3,147.9 2,144.6 22,158.7 120,943 417 1,936,029 –70,298 58,677Oakland-Fremont-Hayward, CA. . . . . . . . . . . . . . . . . . . 17,086.2 39.5 6,922 8,306.9 48.6 1,408.5 732.5 12,248.4 60,675 2,219 968,327 –3,170 51,645San Francisco-San Mateo-Redwood City, CA . . . . . . . . . 13,928.1 40.5 7,969 6,645.8 47.7 1,739.4 1,412.2 9,910.3 60,268 –1,802 967,702 –67,128 65,714

San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . . . 14,367.3 59.0 8,043 4,807.9 33.5 876.4 4,974.0 9,037.2 46,233 –387 898,174 –112,126 75,633San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . . . 1,474.4 52.5 5,632 1,009.8 68.5 61.0 66.4 966.8 8,064 1,120 88,413 14,788 31,949Santa Barbara-Santa Maria-Goleta, CA . . . . . . . . . . . . . . . 3,425.5 50.1 8,519 1,473.9 43.0 362.9 1,103.0 2,282.7 11,432 548 145,202 5,006 38,994

Santa Cruz-Watsonville, CA. . . . . . . . . . . . . . . . . . . . . . . 1,365.0 58.4 5,446 804.8 59.0 44.7 25.9 862.0 7,073 101 76,488 –2,772 38,246Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,436.3 63.2 10,088 528.6 36.8 79.0 70.1 879.9 5,093 424 48,983 4,288 33,667Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . . . . . . . . . . 2,633.8 52.2 5,697 1,774.8 67.4 179.2 90.7 1,731.0 13,927 508 165,261 2,261 39,971Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,550.4 12.4 7,745 1,372.6 53.8 190.6 718.4 2,268.9 8,449 930 132,826 17,212 33,270Scranton—Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . 5,155.6 51.6 9,390 3,365.5 65.3 304.1 698.5 3,399.8 13,812 98 234,462 5,557 29,737

Seattle-Tacoma-Bellevue, WA . . . . . . . . . . . . . . . . . . . . 23,557.9 55.1 7,143 10,667.0 45.3 3,985.1 6,194.6 15,188.4 98,286 7,610 1,495,642 49,824 49,183Seattle-Bellevue-Everett, WA . . . . . . . . . . . . . . . . . . . . 17,088.1 53.5 6,767 7,698.9 45.1 2,005.9 3,368.6 11,131.3 80,924 5,798 1,259,559 21,960 51,388Tacoma, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,469.8 59.5 8,369 2,968.1 45.9 1,979.2 2,826.0 4,057.1 17,362 1,812 236,083 27,864 37,415

Sebastian-Vero Beach, FL. . . . . . . . . . . . . . . . . . . . . . . . 1,137.5 67.9 8,654 955.7 84.0 31.9 29.7 677.5 4,101 649 42,815 4,212 31,333Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 596.7 51.6 5,225 400.0 67.0 27.0 48.0 393.6 2,783 179 56,474 –754 34,051Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . . . . . . . 687.7 37.5 5,825 533.9 77.6 22.8 22.6 500.1 2,652 72 38,061 –1,458 30,849Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . . . 3,101.2 53.1 8,003 1,717.8 55.4 548.1 650.7 2,025.2 8,956 384 154,001 10,797 30,030

Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,027.3 38.0 7,217 526.4 51.2 72.9 234.0 744.2 3,857 –43 67,918 –4,183 29,856Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,140.1 150.8 9,428 1,567.7 73.3 177.1 85.2 853.2 6,865 671 119,897 13,042 32,488South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . 5,175.0 223.7 16,365 1,212.3 23.4 98.4 3,444.9 1,598.6 7,208 –169 131,545 –2,659 32,869Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,493.3 63.7 5,425 1,087.5 72.8 62.9 51.1 912.5 6,759 476 117,435 –4,517 36,877Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,072.4 44.0 6,738 1,942.4 63.2 432.9 454.2 2,133.2 12,751 1,062 181,503 13,230 33,983Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,035.3 26.7 14,714 1,174.7 38.7 168.2 122.6 2,396.3 5,596 –14 84,721 –721 32,070

Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,938.9 40.4 7,190 2,973.3 60.2 467.4 319.5 3,516.9 15,554 –1,433 254,910 2,940 33,272Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,336.4 58.3 5,568 1,615.5 69.1 201.8 94.6 1,475.7 11,440 1,094 175,847 11,752 28,744Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,066.6 50.5 7,603 770.3 72.2 46.3 119.6 708.9 2,591 –119 44,937 –6,134 28,644State College, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,193.7 55.5 8,303 492.4 41.2 49.3 231.7 767.6 3,309 182 45,247 –1,507 29,066Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,193.3 43.4 4,781 2,046.0 64.1 240.9 216.3 2,226.8 11,440 1,253 179,276 24,871 34,537Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,135.3 60.3 10,916 491.8 43.3 303.2 486.2 708.1 1,973 109 32,920 –4,100 27,094

Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,627.7 43.2 7,186 2,644.2 57.1 342.1 710.7 3,232.7 15,623 621 260,124 –13,296 35,505Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,746.4 73.7 16,259 1,527.5 26.6 153.0 169.1 3,307.6 8,860 1,264 113,162 9,541 31,207Tampa-St. Petersburg-Clearwater, FL . . . . . . . . . . . . . . . . 23,492.8 74.4 8,652 16,426.0 69.9 1,838.6 2,942.3 13,469.6 72,895 11,409 1,026,277 –6,468 36,015Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,301.9 50.1 7,653 788.2 60.5 119.9 135.7 867.6 3,841 –5 63,106 423 29,377Texarkana, TX-Texarkana, AR . . . . . . . . . . . . . . . . . . . . . 1,498.0 88.3 11,160 695.9 46.5 143.7 396.4 795.5 2,988 118 44,949 1,482 29,398Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,361.2 51.4 6,702 3,179.8 72.9 209.0 108.6 2,881.1 15,699 –305 293,286 –8,190 34,953

Topeka, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,320.0 43.5 10,162 1,136.3 49.0 261.8 188.5 1,616.6 5,771 34 86,115 –8,156 30,599Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,403.0 39.6 12,104 1,808.5 41.1 206.9 201.9 3,153.6 10,113 464 191,350 17,233 51,315Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,843.0 69.9 10,880 4,101.3 37.8 963.2 4,691.4 6,382.0 21,072 2,440 333,821 40,439 33,183Tulsa, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,421.4 56.5 5,995 3,526.4 65.0 354.9 324.2 3,463.7 24,438 1,298 383,434 6,097 36,369Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,561.6 59.6 7,636 970.6 62.2 100.2 118.6 978.4 4,402 83 79,518 5,385 32,853Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,157.3 52.5 5,846 829.5 71.7 69.0 61.6 759.0 5,359 498 83,397 9,499 34,798







2007

2000(mil.dol.)


Annualpayroll

peremployee,

2006(dol.)

Total(mil.dol.)

Per-centagechange,

2000–2007

Percapita1

(dol.)


Salariesand

wages(mil.dol.)

Totaldefense

(mil.dol.) 2006

Change,2000–2006 2006

Change,2000–2006

Amount(mil.dol.)

Per-centage

oftotal

expend-itures

Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,242.3 32.3 7,625 1,439.0 64.2 165.1 230.2 1,694.5 6,126 –23 102,054 379 29,591Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,028.7 55.0 7,916 496.3 48.2 242.4 360.9 663.9 3,044 298 45,615 6,083 25,916Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,062.7 57.2 7,524 1,485.3 48.5 578.4 1,104.3 1,948.8 7,156 651 108,653 14,134 37,693Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 626.3 43.0 5,517 448.5 71.6 24.3 13.8 437.9 2,778 48 39,026 764 34,303Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . 950.6 28.8 6,117 656.4 69.1 49.3 43.7 737.9 3,184 158 49,471 3,647 32,955

Virginia Beach-Norfolk-Newport News, VA-NC. . . . . . . . . . . 25,394.8 66.2 15,301 7,566.0 29.8 7,200.2 15,746.0 15,281.5 38,937 4,463 641,872 61,264 32,481Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,834.2 36.6 4,376 1,174.1 64.0 72.6 29.5 1,342.3 6,325 399 94,949 17,787 29,059Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,503.7 39.2 6,601 902.3 60.0 151.8 198.3 1,080.4 4,960 120 90,403 –260 28,858Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,169.2 66.3 16,562 622.9 28.7 918.4 1,501.1 1,304.2 2,299 333 36,805 10,086 25,086Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . 125,465.8 67.0 23,663 20,602.0 16.4 32,186.2 39,381.5 75,122.6 141,829 16,556 2,431,174 237,387 51,184

Bethesda-Frederick-Gaithersburg, MD . . . . . . . . . . . . . . 17,746.4 53.8 15,225 4,127.1 23.3 4,203.1 3,026.6 11,541.9 33,120 2,551 511,997 35,503 48,252Washington-Arlington-Alexandria, DC-VA-MD-WV. . . . . . . 107,719.4 69.4 26,040 16,474.9 15.3 27,983.1 36,354.9 63,580.7 108,709 14,005 1,919,177 201,884 51,966

Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . . . 985.1 36.1 6,041 671.3 68.1 70.4 38.6 723.9 4,210 92 73,143 1,918 31,011Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 627.4 47.1 4,834 418.7 66.7 49.9 17.9 426.5 3,440 3 65,499 1,862 33,477Weirton-Steubenville, WV-OH. . . . . . . . . . . . . . . . . . . . . . 1,179.2 62.2 9,622 918.3 77.9 27.0 36.4 727.1 2,585 –99 41,404 –2,620 30,165Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 649.7 56.5 6,087 424.7 65.4 49.9 29.7 415.1 3,105 280 32,488 4,074 31,397Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,454.6 80.2 9,979 1,079.3 74.2 58.4 27.2 807.3 3,602 –164 53,922 723 27,258Wichita, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,547.8 57.8 7,639 2,216.8 48.7 561.3 1,366.7 2,881.7 14,826 294 255,853 –3,714 36,332

Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,438.0 30.5 9,722 703.1 48.9 439.0 599.0 1,101.6 3,557 –54 51,517 2,846 28,156Williamsport, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 936.1 65.1 8,012 702.4 75.0 38.6 29.7 567.1 2,813 –66 46,213 –3,234 28,389Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,257.0 72.0 6,662 1,489.7 66.0 97.2 173.4 1,312.6 10,305 1,915 118,147 17,459 31,528Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 660.8 63.8 5,465 445.7 67.5 58.3 69.2 403.3 3,165 402 51,867 6,670 33,284Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,712.1 69.1 5,875 1,796.3 66.2 132.1 81.7 1,603.8 10,969 509 202,447 4,865 38,412Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,952.1 47.3 6,331 3,143.9 63.5 294.8 251.4 3,361.4 18,508 594 287,398 –5,980 39,971

Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,277.6 28.5 5,506 774.7 60.6 92.8 98.8 994.1 4,774 15 64,089 3,825 30,034York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,372.1 213.0 12,779 1,611.9 30.0 203.9 3,257.2 1,716.2 8,735 537 162,542 9,451 35,511Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . . . 4,448.1 48.6 7,797 3,411.8 76.7 165.9 82.6 2,992.4 13,808 –315 213,209 –20,907 30,583Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,137.3 35.5 6,964 610.9 53.7 256.8 257.4 839.2 2,724 236 31,804 5,568 31,264Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,458.8 84.3 7,694 644.0 44.1 273.6 300.8 791.4 2,959 422 43,955 12,722 25,245

NA Not available. X Not applicable.

1Based on resident population estimated as of July 1, 2007.2For pay period as of March 12 of the year shown.3 The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld counties on November 15,




Survey, Census, or Data Collection Method: Federal government expenditures—Based on information systems in various federal government agencies; for information, see Internet site<http://ftp2.census.gov/govs/cffr/generictech.pdf>. Private nonfarm businesses—Based on the Business Register; for information, see Internet site <http://www.census.gov/econ/cbp/methodology.htm>.

Sources: Federal government expenditures—U.S. Census Bureau, Consolidated Federal Funds Report (related Internet site <http://www.census.gov/govs/cffr>.). Private nonfarmbusinesses—U.S. Census Bureau, County Business Patterns (related Internet site <http://www.census.gov/econ/cbp/index.html>).

Table B–1. Metropolitan Areas — Area and Population · 108 State and Metropolitan Area Data...

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Transcript of Table B–1. Metropolitan Areas — Area and Population · 108 State and Metropolitan Area Data...