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Metr
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Are
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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.
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
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
See footnotes at end of table.
-
State and Metropolitan Area Data Book: 2010 109U.S. Census
Bureau
Table B–1. Metropolitan Areas — Area and Population—Con.
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
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
See footnotes at end of table.
-
110 State and Metropolitan Area Data Book: 2010 U.S. Census
Bureau
Table B–1. Metropolitan Areas — Area and Population—Con.
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
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
See footnotes at end of table.
-
State and Metropolitan Area Data Book: 2010 111U.S. Census
Bureau
Table B–1. Metropolitan Areas — Area and Population—Con.
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
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
See footnotes at end of table.
-
112 State and Metropolitan Area Data Book: 2010 U.S. Census
Bureau
Table B–1. Metropolitan Areas — Area and Population—Con.
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
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 ).
-
State and Metropolitan Area Data Book: 2010 113U.S. Census
Bureau
Table B–2. Metropolitan Areas — Components of Population
Change
Metropolitan statistical areaMetropolitan statistical areawith
metropolitan divisions
Metropolitan division
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
See footnotes at end of table.
-
114 State and Metropolitan Area Data Book: 2010 U.S. Census
Bureau
Table B–2. Metropolitan Areas — Components of Population
Change—Con.
Metropolitan statistical areaMetropolitan statistical areawith
metropolitan divisions
Metropolitan division
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
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
See footnotes at end of table.
-
State and Metropolitan Area Data Book: 2010 115U.S. Census
Bureau
Table B–2. Metropolitan Areas — Components of Population
Change—Con.
Metropolitan statistical areaMetropolitan statistical areawith
metropolitan divisions
Metropolitan division
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
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