Security, and SSI Metropolitan Areas · 2015. 9. 29. · 108 State and Metropolitan Area Data Book: 2010 U.S. Census Bureau Table B–1. Metropolitan Areas — Area and Population—Con

You may visit us on the Web atwww.census.gov/compendia/databooks/

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Table B

Metropolitan Areas Table BPage

107 Area and Population

113 Components of Population Change

119 Population by Age, Race, and Sex

125 Births, Deaths, and Infant Deaths

131 Population Characteristics: 2005–2007

137 Education

143 Income

149 Physicians, Disabilities, Medicare, Social Security, and SSI

155 Housing Units and Building Permits

167 Income and Earnings

179 Civilian Labor Force and Banking

185 Government

Note: Table B covers 371 metropolitan statistical areas and 11 metropolitan statistical areas with 29 metropolitan divisions defined by the Office of Management and Budget as of November 2007. For more information, see OMB Bulletin 11-07 at .

For additional information, see Appendix C, Geographic Concepts.

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(estimates

base)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(estimates

base)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(estimates

base)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(estimates

base)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(estimates

base)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(estimates

base)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.

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 and .

Sources: Area—U.S. Census Bureau, 2000 Census of Population and Housing, Summary Population and Housing Characteristics, Series PHC-1; and unpublished data on American FactFinder.Population—U.S. Census Bureau, 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 ). 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 ).


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



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


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

Documents

Security, and SSI Metropolitan Areas · 2015. 9. 29. · 108 State and Metropolitan Area Data Book: 2010 U.S. Census Bureau Table B–1. Metropolitan Areas — Area and Population—Con