|
| Area Name | Pop 2010 | Pop 2020 | Pop 2021 | Pop 2022 | Pop 2030 | Chg 2010-20 | %Chg 2010-20 | Chg 2020-30 | %Chg 2020-30 |
| Austin County, TX | 28,372 | 30,109 | 30,380 | 30,407 | 30,619 | 1,737 | 6.1 | 510 | 1.7 |
| Brazoria County, TX | 314,499 | 373,368 | 379,689 | 385,481 | 431,817 | 58,869 | 18.7 | 58,449 | 15.7 |
| Chambers County, TX | 35,452 | 47,051 | 48,865 | 50,737 | 65,709 | 11,599 | 32.7 | 18,658 | 39.7 |
| Fort Bend County, TX | 590,177 | 828,632 | 858,527 | 885,226 | 1,098,814 | 238,455 | 40.4 | 270,182 | 32.6 |
| Galveston County, TX | 292,492 | 351,458 | 355,062 | 358,394 | 385,046 | 58,966 | 20.2 | 33,588 | 9.6 |
| Harris County, TX | 4,107,542 | 4,732,491 | 4,728,030 | 4,727,609 | 4,724,241 | 624,949 | 15.2 | -8,250 | -0.2 |
| Liberty County, TX | 75,870 | 92,351 | 97,621 | 101,744 | 134,724 | 16,481 | 21.7 | 42,373 | 45.9 |
| Montgomery County, TX | 459,223 | 624,938 | 648,886 | 669,921 | 838,197 | 165,715 | 36.1 | 213,259 | 34.1 |
| Waller County, TX | 43,558 | 57,349 | 59,781 | 62,110 | 80,742 | 13,791 | 31.7 | 23,393 | 40.8 |

| Year | Med HH Inc | Ages 0-17 in Poverty | Ages 0-17 Poverty Rate | Ages 0-17 Universe | Ages 5-17 in Families in Poverty | Ages 5-17 in Families Poverty Rate | Ages 5-17 in Families Universe | All Ages in Poverty | All Ages Poverty Rate | All Ages Universe |
| 2010 | $76,758 | 21,654 | 12.5 | 173,487 | 14,551 | 11.2 | 129,443 | 52,716 | 9.0 | 583,435 |
| 2011 | $82,147 | 21,251 | 12.2 | 174,778 | 14,440 | 11.0 | 130,844 | 53,450 | 8.9 | 600,077 |
| 2012 | $86,037 | 21,548 | 12.2 | 176,631 | 14,688 | 11.0 | 133,026 | 55,527 | 8.9 | 620,810 |
| 2013 | $87,901 | 22,362 | 12.2 | 183,395 | 15,642 | 11.3 | 138,502 | 57,286 | 8.9 | 646,559 |
| 2014 | $88,516 | 23,528 | 12.4 | 189,684 | 15,674 | 10.9 | 143,335 | 59,839 | 8.8 | 679,428 |
| 2015 | $95,117 | 19,071 | 9.7 | 196,876 | 13,061 | 8.8 | 148,909 | 49,830 | 7.0 | 709,977 |
| 2016 | $90,972 | 22,455 | 11.0 | 203,572 | 15,460 | 10.2 | 151,381 | 60,925 | 8.3 | 734,921 |
| 2017 | $91,661 | 21,368 | 10.2 | 210,274 | 15,177 | 9.7 | 156,463 | 60,772 | 8.0 | 758,413 |
| 2018 | $92,310 | 22,372 | 10.4 | 214,646 | 15,736 | 9.8 | 160,361 | 61,455 | 7.9 | 781,516 |
| 2019 | $101,361 | 16,225 | 7.4 | 219,478 | 10,809 | 6.5 | 165,774 | 53,151 | 6.6 | 805,030 |
| 2020 | $97,210 | 21,169 | 9.4 | 224,224 | 14,856 | 8.7 | 170,762 | 61,776 | 7.4 | 832,611 |
| Year | Med HH Inc | Ages 0-17 in Poverty | Ages 0-17 Poverty Rate | Ages 0-17 Universe | Ages 5-17 in Families in Poverty | Ages 5-17 in Families Poverty Rate | Ages 5-17 in Families Universe | All Ages in Poverty | All Ages Poverty Rate | All Ages Universe |
| 2010 | $48,622 | 1,746,564 | 25.7 | 6,798,102 | 1,177,868 | 24.2 | 4,871,794 | 4,411,273 | 17.9 | 24,652,964 |
| 2011 | $49,390 | 1,825,007 | 26.6 | 6,872,694 | 1,227,301 | 24.9 | 4,923,532 | 4,627,604 | 18.5 | 25,071,118 |
| 2012 | $50,747 | 1,777,177 | 25.8 | 6,897,874 | 1,207,456 | 24.3 | 4,967,315 | 4,565,185 | 17.9 | 25,450,524 |
| 2013 | $51,714 | 1,739,298 | 25.0 | 6,953,957 | 1,198,322 | 23.8 | 5,028,314 | 4,531,427 | 17.5 | 25,834,186 |
| 2014 | $53,067 | 1,721,843 | 24.5 | 7,030,708 | 1,185,167 | 23.3 | 5,076,034 | 4,519,548 | 17.2 | 26,340,274 |
| 2015 | $55,668 | 1,634,149 | 22.9 | 7,123,991 | 1,125,692 | 21.9 | 5,149,231 | 4,255,690 | 15.9 | 26,846,185 |
| 2016 | $56,583 | 1,616,085 | 22.4 | 7,212,532 | 1,111,489 | 21.4 | 5,202,578 | 4,261,291 | 15.6 | 27,236,431 |
| 2017 | $59,195 | 1,525,944 | 21.0 | 7,279,762 | 1,047,625 | 19.9 | 5,263,460 | 4,080,377 | 14.7 | 27,676,374 |
| 2018 | $60,632 | 1,543,228 | 21.1 | 7,303,725 | 1,070,901 | 20.2 | 5,298,049 | 4,181,623 | 14.9 | 28,074,669 |
| 2019 | $64,044 | 1,401,195 | 19.2 | 7,296,060 | 960,219 | 18.0 | 5,322,921 | 3,870,944 | 13.6 | 28,361,496 |
| 2020 | $66,048 | 1,373,643 | 18.8 | 7,312,837 | 959,889 | 17.9 | 5,372,803 | 3,862,713 | 13.4 | 28,725,933 |
| Year | Med HH Inc | Ages 0-17 in Poverty | Ages 0-17 Poverty Rate | Ages 0-17 Universe | Ages 5-17 in Families in Poverty | Ages 5-17 in Families Poverty Rate | Ages 5-17 in Families Universe | All Ages in Poverty | All Ages Poverty Rate | All Ages Universe |
| 2010 | $50,046 | 15,749,129 | 21.6 | 73,024,577 | 10,484,513 | 19.8 | 52,872,735 | 46,215,956 | 15.3 | 301,535,021 |
| 2011 | $50,502 | 16,386,500 | 22.5 | 72,802,773 | 10,976,987 | 20.8 | 52,708,799 | 48,452,035 | 15.9 | 303,778,193 |
| 2012 | $51,371 | 16,396,863 | 22.6 | 72,605,436 | 11,086,537 | 21.0 | 52,675,863 | 48,760,123 | 15.9 | 306,086,063 |
| 2013 | $52,250 | 16,086,960 | 22.2 | 72,382,173 | 10,958,232 | 20.8 | 52,605,987 | 48,810,868 | 15.8 | 308,196,783 |
| 2014 | $53,657 | 15,686,012 | 21.7 | 72,386,485 | 10,714,518 | 20.4 | 52,594,799 | 48,208,387 | 15.5 | 310,899,910 |
| 2015 | $55,775 | 15,000,273 | 20.7 | 72,454,786 | 10,245,028 | 19.5 | 52,635,679 | 46,153,077 | 14.7 | 313,476,400 |
| 2016 | $57,617 | 14,115,713 | 19.5 | 72,452,603 | 9,648,486 | 18.3 | 52,644,648 | 44,268,996 | 14.0 | 315,165,470 |
| 2017 | $60,336 | 13,353,202 | 18.4 | 72,452,925 | 9,120,503 | 17.3 | 52,669,201 | 42,583,651 | 13.4 | 317,741,588 |
| 2018 | $61,937 | 12,997,532 | 18.0 | 72,163,269 | 8,930,152 | 17.0 | 52,529,919 | 41,852,315 | 13.1 | 319,184,033 |
| 2019 | $65,712 | 12,000,470 | 16.8 | 71,633,453 | 8,258,906 | 15.8 | 52,324,733 | 39,490,096 | 12.3 | 320,118,791 |
| 2020 | $67,340 | 11,204,423 | 15.7 | 71,388,957 | 7,798,566 | 14.9 | 52,357,364 | 38,371,394 | 11.9 | 321,478,113 |
| Population 7/1/20 | 828,632 |
| Births 6/30/19-7/1/20 | 8,540 |
| Deaths 6/30/19-7/1/20 | 4,576 |
| Natural Increase 6/30/19-7/1/20 | 3,964 |
| International Migration 6/30/19-7/1/20 | 744 |
| Domestic Migration 6/30/19-7/1/20 | 18,472 |
| Net Migration 6/30/19-7/1/20 | 19,216 |
| Population 7/1/21 | 858,527 |
| Births 6/30/20-7/1/21 | 8,725 |
| Deaths 6/30/20-7/1/21 | 4,924 |
| Natural Increase 6/30/20-7/1/21 | 3,801 |
| International Migration 6/30/20-7/1/21 | 1,704 |
| Domestic Migration 6/30/20-7/1/21 | 24,712 |
| Net Migration 6/30/20-7/1/21 | 26,416 |
| Subject Matter Item | 2010 | 2010% | 2020 | 2020% | 2010-20 Change | 2010-20% Change |
| Total population | 585,375 | 100.0 | 822,779 | 100.0 | 237,404 | 40.6 |
| One race | 568,354 | 97.1 | 715,862 | 87.0 | 147,508 | 26.0 |
| White alone | 296,310 | 50.6 | 282,222 | 34.3 | -14,088 | -4.8 |
| Black alone | 125,818 | 21.5 | 170,978 | 20.8 | 45,160 | 35.9 |
| American India/Alaskan Native alone | 2,302 | 0.4 | 4,574 | 0.6 | 2,272 | 98.7 |
| Asian alone | 99,370 | 17.0 | 182,537 | 22.2 | 83,167 | 83.7 |
| Native Hawaiian and Other Pacific Islander alone | 226 | 0.0 | 371 | 0.0 | 145 | 64.2 |
| Other race | 44,328 | 7.6 | 75,180 | 9.1 | 30,852 | 69.6 |
| Two or more races | 17,021 | 2.9 | 106,917 | 13.0 | 89,896 | 528.1 |
| White, Non-Hispanic | 211,680 | 36.2 | 243,726 | 29.6 | 32,046 | 15.1 |
| Black Non-Hispanic | 123,267 | 21.1 | 167,964 | 20.4 | 44,697 | 36.3 |
| Hispanic (of any race) | 138,967 | 23.7 | 198,580 | 24.1 | 59,613 | 42.9 |
| Total population, 18 years or older | 411,540 | 70.3 | 596,993 | 72.6 | 185,453 | 45.1 |
| One race | 402,777 | 68.8 | 527,148 | 64.1 | 124,371 | 30.9 |
| White alone | 214,348 | 36.6 | 212,278 | 25.8 | -2,070 | -1.0 |
| Black alone | 86,356 | 14.8 | 123,103 | 15.0 | 36,747 | 42.6 |
| American India/Alaskan Native alone | 1,507 | 0.3 | 3,311 | 0.4 | 1,804 | 119.7 |
| Asian alone | 71,614 | 12.2 | 135,087 | 16.4 | 63,473 | 88.6 |
| Native Hawaiian and Other Pacific Islander alone | 150 | 0.0 | 271 | 0.0 | 121 | 80.7 |
| Other race | 28,802 | 4.9 | 53,098 | 6.5 | 24,296 | 84.4 |
| Two or more races | 8,763 | 1.5 | 69,845 | 8.5 | 61,082 | 697.0 |
| White, Non-Hispanic | 159,069 | 27.2 | 187,278 | 22.8 | 28,209 | 17.7 |
| Black Non-Hispanic | 84,977 | 14.5 | 121,625 | 14.8 | 36,648 | 43.1 |
| Hispanic (of any race) | 89,316 | 15.3 | 135,560 | 16.5 | 46,244 | 51.8 |
| Group Quarters population | 5,936 | 1.0 | 4,682 | 0.6 | -1,254 | -21.1 |
| Group Quarters, institutionalized population | 5,604 | 1.0 | 4,192 | 0.5 | -1,412 | -25.2 |
| Group Quarters, noninstitutionalized population | 332 | 0.1 | 490 | 0.1 | 158 | 47.6 |
| Housing Units | 197,030 | 100.0 | 277,910 | 100.0 | 80,880 | 41.0 |
| Occupied | 187,384 | 95.1 | 263,128 | 94.7 | 75,744 | 40.4 |
| Vacant | 9,646 | 4.9 | 14,782 | 5.3 | 5,136 | 53.2 |
| Population/Component | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
| Population | 590,177 | 605,979 | 624,737 | 651,770 | 683,977 | 715,260 | 744,489 | 768,258 | 789,269 | 812,737 | 839,706 |
| Births | 1,934 | 7,734 | 7,906 | 8,143 | 9,092 | 9,654 | 9,974 | 9,788 | 9,587 | 9,334 | 9,482 |
| Deaths | 652 | 2,330 | 2,361 | 2,569 | 2,720 | 2,946 | 3,036 | 3,188 | 3,442 | 3,899 | 4,331 |
| Natural Increase | 1,282 | 5,404 | 5,545 | 5,574 | 6,372 | 6,708 | 6,938 | 6,600 | 6,145 | 5,435 | 5,151 |
| Net Migration | 4,018 | 10,364 | 13,045 | 21,055 | 25,299 | 24,357 | 22,247 | 17,177 | 14,889 | 18,074 | 21,924 |
| International | 691 | 3,047 | 3,492 | 4,047 | 5,479 | 6,411 | 6,353 | 6,309 | 4,599 | 4,569 | 3,526 |
| Domestic | 3,526 | 3,327 | 7,317 | 9,553 | 17,008 | 19,820 | 17,946 | 15,894 | 10,868 | 10,290 | 13,505 |
| Group Quarters | 5,936 | 5,565 | 4,944 | 5,009 | 5,059 | 5,041 | 5,156 | 5,119 | 5,187 | 5,068 | 5,055 |
| City/Place | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
| Arcola city 4803708 | 1,638 | 1,715 | 1,801 | 1,920 | 2,050 | 2,187 | 2,323 | 2,440 | 2,545 | 2,663 | |
| Beasley city 4806272 | 652 | 654 | 659 | 669 | 673 | 679 | 682 | 678 | 675 | 677 | |
| Fairchilds village 4825068 | 800 | 838 | 879 | 936 | 1,000 | 1,065 | 1,129 | 1,189 | 1,238 | 1,297 | |
| Houston city (part) 4835000 | 39,504 | 37,955 | 38,197 | 38,630 | 40,304 | 41,274 | 41,876 | 41,796 | 41,950 | 42,242 | |
| Weston Lakes city 4877746 | 2,489 | 2,524 | 2,763 | 2,932 | 3,127 | 3,320 | 3,516 | 3,686 | 3,834 | 4,003 | |
| Meadows Place city 4847337 | 4,627 | 4,632 | 4,644 | 4,684 | 4,707 | 4,715 | 4,709 | 4,652 | 4,623 | 4,591 | |
| Fulshear city 4827876 | 1,170 | 1,173 | 1,875 | 2,933 | 4,271 | 5,836 | 7,889 | 10,017 | 11,941 | 13,914 | |
| Needville city 4850628 | 2,942 | 2,959 | 2,975 | 3,001 | 3,031 | 3,057 | 3,085 | 3,073 | 3,081 | 3,103 | |
| Katy city (part) 4838476 | 1,672 | 1,692 | 1,711 | 1,728 | 1,789 | 1,845 | 1,949 | 2,034 | 2,141 | 2,403 | |
| Kendleton city 4838848 | 381 | 380 | 382 | 384 | 386 | 386 | 386 | 380 | 388 | 454 | |
| Missouri City city (part) 4848804 | 61,299 | 61,761 | 62,342 | 63,475 | 65,094 | 67,442 | 68,155 | 68,360 | 68,574 | 69,181 | |
| Orchard city 4854192 | 355 | 370 | 386 | 395 | 400 | 402 | 402 | 403 | 407 | 408 | |
| Pearland city (part) 4856348 | 787 | 810 | 838 | 877 | 903 | 955 | 996 | 1,014 | 1,030 | 1,045 | |
| Pleak village 4858088 | 1,052 | 1,098 | 1,150 | 1,221 | 1,303 | 1,387 | 1,470 | 1,541 | 1,605 | 1,675 | |
| Richmond city 4861892 | 12,120 | 12,151 | 12,214 | 12,366 | 12,566 | 12,719 | 12,721 | 12,628 | 12,615 | 12,578 | |
| Rosenberg city 4863284 | 31,414 | 31,835 | 32,354 | 33,093 | 34,356 | 35,425 | 36,519 | 37,224 | 37,828 | 38,307 | |
| Simonton city 4867964 | 829 | 834 | 838 | 844 | 854 | 865 | 871 | 865 | 878 | 884 | |
| Stafford city (part) 4869908 | 16,534 | 16,619 | 16,708 | 16,883 | 17,073 | 17,221 | 17,260 | 17,178 | 17,113 | 17,062 | |
| Sugar Land city 4870808 | 108,403 | 109,854 | 111,277 | 113,490 | 116,807 | 118,405 | 118,784 | 118,967 | 118,777 | 118,488 | |
| Thompsons town 4872740 | 221 | 230 | 242 | 255 | 273 | 289 | 307 | 322 | 336 | 350 | |
| Balance of Fort Bend County 4899990 | 302,878 | 315,628 | 330,156 | 350,257 | 373,081 | 395,857 | 419,131 | 439,265 | 456,501 | 476,364 |
| Residence 1 Year Age | Geocode | Moved to 48157 | Moved from 48157 | Net Movers |
| Africa | null | 692 | null | null |
| Asia | null | 5966 | null | null |
| Central America | null | 935 | null | null |
| Caribbean | null | 100 | null | null |
| Europe | null | 948 | null | null |
| U.S. Island Areas | null | 50 | null | null |
| Northern America | null | 612 | null | null |
| Oceania and At Sea | null | 378 | null | null |
| South America | null | 1242 | null | null |
| Cullman County, Alabama | 01043 | 0 | 14 | -14 |
| Jefferson County, Alabama | 01073 | 0 | 52 | -52 |
| Lee County, Alabama | 01081 | 16 | 61 | -45 |
| Mobile County, Alabama | 01097 | 0 | 26 | -26 |
| Montgomery County, Alabama | 01101 | 0 | 88 | -88 |
| Perry County, Alabama | 01105 | 52 | 0 | 52 |
| Tuscaloosa County, Alabama | 01125 | 18 | 0 | 18 |
| Anchorage Municipality, Alaska | 02020 | 11 | 25 | -14 |
| Fairbanks North Star Borough, Alaska | 02090 | 32 | 0 | 32 |
| Cochise County, Arizona | 04003 | 0 | 27 | -27 |
| Maricopa County, Arizona | 04013 | 660 | 85 | 575 |
| Pima County, Arizona | 04019 | 21 | 46 | -25 |
| Craighead County, Arkansas | 05031 | 0 | 24 | -24 |
| Crittenden County, Arkansas | 05035 | 0 | 2 | -2 |
| Drew County, Arkansas | 05043 | 71 | 0 | 71 |
| Garland County, Arkansas | 05051 | 0 | 19 | -19 |
| Independence County, Arkansas | 05063 | 0 | 10 | -10 |
| Poinsett County, Arkansas | 05111 | 64 | 0 | 64 |
| Polk County, Arkansas | 05113 | 0 | 19 | -19 |
| Pope County, Arkansas | 05115 | 0 | 9 | -9 |
| Saline County, Arkansas | 05125 | 71 | 43 | 28 |
| Sebastian County, Arkansas | 05131 | 50 | 0 | 50 |
| Washington County, Arkansas | 05143 | 0 | 46 | -46 |
| Alameda County, California | 06001 | 21 | 221 | -200 |
| Contra Costa County, California | 06013 | 109 | 260 | -151 |
| Kern County, California | 06029 | 30 | 28 | 2 |
| Los Angeles County, California | 06037 | 222 | 274 | -52 |
| Monterey County, California | 06053 | 77 | 25 | 52 |
| Orange County, California | 06059 | 88 | 264 | -176 |
| Riverside County, California | 06065 | 286 | 146 | 140 |
| Sacramento County, California | 06067 | 29 | 27 | 2 |
| San Bernardino County, California | 06071 | 0 | 37 | -37 |
| San Diego County, California | 06073 | 109 | 324 | -215 |
| San Francisco County, California | 06075 | 25 | 0 | 25 |
| San Joaquin County, California | 06077 | 0 | 12 | -12 |
| San Luis Obispo County, California | 06079 | 0 | 135 | -135 |
| Santa Barbara County, California | 06083 | 0 | 9 | -9 |
| Santa Clara County, California | 06085 | 0 | 69 | -69 |
| Santa Cruz County, California | 06087 | 0 | 17 | -17 |
| Solano County, California | 06095 | 31 | 35 | -4 |
| Ventura County, California | 06111 | 0 | 27 | -27 |
| Yolo County, California | 06113 | 339 | 0 | 339 |
| Adams County, Colorado | 08001 | 0 | 106 | -106 |
| Arapahoe County, Colorado | 08005 | 88 | 153 | -65 |
| Boulder County, Colorado | 08013 | 0 | 4 | -4 |
| Broomfield County, Colorado | 08014 | 121 | 59 | 62 |
| Denver County, Colorado | 08031 | 171 | 11 | 160 |
| Elbert County, Colorado | 08039 | 37 | 0 | 37 |
| El Paso County, Colorado | 08041 | 0 | 22 | -22 |
| Jefferson County, Colorado | 08059 | 135 | 93 | 42 |
| Larimer County, Colorado | 08069 | 5 | 0 | 5 |
| Montezuma County, Colorado | 08083 | 0 | 9 | -9 |
| Routt County, Colorado | 08107 | 0 | 32 | -32 |
| Weld County, Colorado | 08123 | 0 | 25 | -25 |
| Fairfield County, Connecticut | 09001 | 59 | 9 | 50 |
| New Haven County, Connecticut | 09009 | 0 | 27 | -27 |
| Tolland County, Connecticut | 09013 | 0 | 106 | -106 |
| Windham County, Connecticut | 09015 | 0 | 14 | -14 |
| District of Columbia, District of Columbia | 11001 | 0 | 78 | -78 |
| Alachua County, Florida | 12001 | 92 | 22 | 70 |
| Brevard County, Florida | 12009 | 0 | 9 | -9 |
| Broward County, Florida | 12011 | 300 | 14 | 286 |
| Duval County, Florida | 12031 | 20 | 0 | 20 |
| Escambia County, Florida | 12033 | 0 | 30 | -30 |
| Flagler County, Florida | 12035 | 33 | 0 | 33 |
| Hillsborough County, Florida | 12057 | 22 | 31 | -9 |
| Leon County, Florida | 12073 | 8 | 0 | 8 |
| Manatee County, Florida | 12081 | 15 | 0 | 15 |
| Miami-Dade County, Florida | 12086 | 179 | 102 | 77 |
| Okaloosa County, Florida | 12091 | 0 | 11 | -11 |
| Orange County, Florida | 12095 | 25 | 0 | 25 |
| Palm Beach County, Florida | 12099 | 0 | 70 | -70 |
| Pinellas County, Florida | 12103 | 0 | 28 | -28 |
| Polk County, Florida | 12105 | 0 | 37 | -37 |
| Sarasota County, Florida | 12115 | 24 | 0 | 24 |
| Seminole County, Florida | 12117 | 13 | 0 | 13 |
| Chattahoochee County, Georgia | 13053 | 0 | 17 | -17 |
| Cobb County, Georgia | 13067 | 13 | 297 | -284 |
| DeKalb County, Georgia | 13089 | 0 | 12 | -12 |
| Fulton County, Georgia | 13121 | 3 | 112 | -109 |
| Gwinnett County, Georgia | 13135 | 46 | 0 | 46 |
| Hall County, Georgia | 13139 | 0 | 204 | -204 |
| Houston County, Georgia | 13153 | 0 | 20 | -20 |
| Laurens County, Georgia | 13175 | 8 | 0 | 8 |
| Pulaski County, Georgia | 13235 | 0 | 8 | -8 |
| Richmond County, Georgia | 13245 | 0 | 12 | -12 |
| Troup County, Georgia | 13285 | 38 | 0 | 38 |
| Honolulu County, Hawaii | 15003 | 74 | 33 | 41 |
| Ada County, Idaho | 16001 | 0 | 35 | -35 |
| Canyon County, Idaho | 16027 | 0 | 41 | -41 |
| Cook County, Illinois | 17031 | 239 | 270 | -31 |
| DuPage County, Illinois | 17043 | 47 | 0 | 47 |
| Kane County, Illinois | 17089 | 45 | 0 | 45 |
| Kankakee County, Illinois | 17091 | 57 | 0 | 57 |
| Lake County, Illinois | 17097 | 16 | 28 | -12 |
| Madison County, Illinois | 17119 | 0 | 4 | -4 |
| Winnebago County, Illinois | 17201 | 19 | 0 | 19 |
| Allen County, Indiana | 18003 | 0 | 26 | -26 |
| Bartholomew County, Indiana | 18005 | 0 | 9 | -9 |
| Blackford County, Indiana | 18009 | 0 | 3 | -3 |
| DeKalb County, Indiana | 18033 | 0 | 1 | -1 |
| Delaware County, Indiana | 18035 | 37 | 0 | 37 |
| Hamilton County, Indiana | 18057 | 29 | 0 | 29 |
| Hendricks County, Indiana | 18063 | 0 | 9 | -9 |
| Howard County, Indiana | 18067 | 0 | 12 | -12 |
| Lake County, Indiana | 18089 | 30 | 0 | 30 |
| Madison County, Indiana | 18095 | 0 | 4 | -4 |
| Marion County, Indiana | 18097 | 0 | 24 | -24 |
| Posey County, Indiana | 18129 | 0 | 20 | -20 |
| St. Joseph County, Indiana | 18141 | 84 | 0 | 84 |
| Tippecanoe County, Indiana | 18157 | 21 | 7 | 14 |
| Vanderburgh County, Indiana | 18163 | 17 | 0 | 17 |
| Warrick County, Indiana | 18173 | 134 | 0 | 134 |
| Wayne County, Indiana | 18177 | 0 | 14 | -14 |
| Buena Vista County, Iowa | 19021 | 0 | 10 | -10 |
| Johnson County, Iowa | 19103 | 52 | 0 | 52 |
| Mahaska County, Iowa | 19123 | 0 | 5 | -5 |
| Woodbury County, Iowa | 19193 | 28 | 0 | 28 |
| Cowley County, Kansas | 20035 | 0 | 11 | -11 |
| Douglas County, Kansas | 20045 | 0 | 49 | -49 |
| Johnson County, Kansas | 20091 | 104 | 78 | 26 |
| Pratt County, Kansas | 20151 | 0 | 4 | -4 |
| Riley County, Kansas | 20161 | 0 | 7 | -7 |
| Shawnee County, Kansas | 20177 | 45 | 0 | 45 |
| Christian County, Kentucky | 21047 | 0 | 10 | -10 |
| Jefferson County, Kentucky | 21111 | 0 | 62 | -62 |
| Madison County, Kentucky | 21151 | 130 | 9 | 121 |
| Beauregard Parish, Louisiana | 22011 | 0 | 14 | -14 |
| Bossier Parish, Louisiana | 22015 | 34 | 0 | 34 |
| Caddo Parish, Louisiana | 22017 | 54 | 4 | 50 |
| Calcasieu Parish, Louisiana | 22019 | 62 | 17 | 45 |
| East Baton Rouge Parish, Louisiana | 22033 | 41 | 56 | -15 |
| Jefferson Parish, Louisiana | 22051 | 51 | 4 | 47 |
| Lafourche Parish, Louisiana | 22057 | 12 | 0 | 12 |
| Natchitoches Parish, Louisiana | 22069 | 0 | 38 | -38 |
| Orleans Parish, Louisiana | 22071 | 245 | 0 | 245 |
| Ouachita Parish, Louisiana | 22073 | 42 | 0 | 42 |
| Rapides Parish, Louisiana | 22079 | 0 | 10 | -10 |
| St. Mary Parish, Louisiana | 22101 | 31 | 0 | 31 |
| St. Tammany Parish, Louisiana | 22103 | 303 | 0 | 303 |
| Terrebonne Parish, Louisiana | 22109 | 31 | 0 | 31 |
| Vermilion Parish, Louisiana | 22113 | 51 | 0 | 51 |
| Carroll County, Maryland | 24013 | 75 | 0 | 75 |
| Montgomery County, Maryland | 24031 | 0 | 13 | -13 |
| Prince George's County, Maryland | 24033 | 19 | 0 | 19 |
| Baltimore city, Maryland | 24510 | 0 | 34 | -34 |
| Franklin County, Massachusetts | 25011 | 0 | 8 | -8 |
| Middlesex County, Massachusetts | 25017 | 173 | 164 | 9 |
| Norfolk County, Massachusetts | 25021 | 56 | 73 | -17 |
| Plymouth County, Massachusetts | 25023 | 0 | 8 | -8 |
| Suffolk County, Massachusetts | 25025 | 0 | 69 | -69 |
| Worcester County, Massachusetts | 25027 | 211 | 7 | 204 |
| Berrien County, Michigan | 26021 | 22 | 0 | 22 |
| Kent County, Michigan | 26081 | 0 | 173 | -173 |
| Marquette County, Michigan | 26103 | 0 | 4 | -4 |
| Midland County, Michigan | 26111 | 5 | 0 | 5 |
| Oakland County, Michigan | 26125 | 72 | 57 | 15 |
| Washtenaw County, Michigan | 26161 | 0 | 7 | -7 |
| Wayne County, Michigan | 26163 | 49 | 46 | 3 |
| Anoka County, Minnesota | 27003 | 60 | 0 | 60 |
| Mille Lacs County, Minnesota | 27095 | 0 | 3 | -3 |
| Olmsted County, Minnesota | 27109 | 41 | 0 | 41 |
| Ramsey County, Minnesota | 27123 | 0 | 26 | -26 |
| Wright County, Minnesota | 27171 | 0 | 22 | -22 |
| DeSoto County, Mississippi | 28033 | 0 | 58 | -58 |
| Forrest County, Mississippi | 28035 | 0 | 17 | -17 |
| Hinds County, Mississippi | 28049 | 45 | 6 | 39 |
| Lafayette County, Mississippi | 28071 | 0 | 8 | -8 |
| Madison County, Mississippi | 28089 | 0 | 10 | -10 |
| Pike County, Mississippi | 28113 | 25 | 0 | 25 |
| Andrew County, Missouri | 29003 | 24 | 0 | 24 |
| Boone County, Missouri | 29019 | 0 | 19 | -19 |
| Jackson County, Missouri | 29095 | 76 | 4 | 72 |
| Jasper County, Missouri | 29097 | 18 | 0 | 18 |
| Platte County, Missouri | 29165 | 0 | 6 | -6 |
| Polk County, Missouri | 29167 | 0 | 12 | -12 |
| St. Louis County, Missouri | 29189 | 181 | 70 | 111 |
| Stone County, Missouri | 29209 | 0 | 3 | -3 |
| Gallatin County, Montana | 30031 | 0 | 36 | -36 |
| Douglas County, Nebraska | 31055 | 0 | 5 | -5 |
| Lancaster County, Nebraska | 31109 | 0 | 11 | -11 |
| Clark County, Nevada | 32003 | 718 | 6 | 712 |
| Hillsborough County, New Hampshire | 33011 | 0 | 22 | -22 |
| Bergen County, New Jersey | 34003 | 111 | 0 | 111 |
| Camden County, New Jersey | 34007 | 22 | 0 | 22 |
| Essex County, New Jersey | 34013 | 41 | 0 | 41 |
| Hudson County, New Jersey | 34017 | 25 | 0 | 25 |
| Mercer County, New Jersey | 34021 | 77 | 41 | 36 |
| Middlesex County, New Jersey | 34023 | 33 | 139 | -106 |
| Monmouth County, New Jersey | 34025 | 0 | 93 | -93 |
| Somerset County, New Jersey | 34035 | 267 | 0 | 267 |
| Union County, New Jersey | 34039 | 0 | 135 | -135 |
| Bernalillo County, New Mexico | 35001 | 1 | 36 | -35 |
| Chaves County, New Mexico | 35005 | 0 | 18 | -18 |
| Eddy County, New Mexico | 35015 | 0 | 13 | -13 |
| Roosevelt County, New Mexico | 35041 | 0 | 10 | -10 |
| Sandoval County, New Mexico | 35043 | 17 | 0 | 17 |
| Taos County, New Mexico | 35055 | 0 | 6 | -6 |
| Bronx County, New York | 36005 | 0 | 9 | -9 |
| Broome County, New York | 36007 | 0 | 14 | -14 |
| Dutchess County, New York | 36027 | 0 | 5 | -5 |
| Kings County, New York | 36047 | 121 | 0 | 121 |
| Monroe County, New York | 36055 | 0 | 8 | -8 |
| Nassau County, New York | 36059 | 65 | 0 | 65 |
| New York County, New York | 36061 | 21 | 15 | 6 |
| Putnam County, New York | 36079 | 22 | 0 | 22 |
| Queens County, New York | 36081 | 93 | 0 | 93 |
| Rensselaer County, New York | 36083 | 0 | 15 | -15 |
| Rockland County, New York | 36087 | 0 | 10 | -10 |
| Suffolk County, New York | 36103 | 0 | 36 | -36 |
| Tioga County, New York | 36107 | 207 | 0 | 207 |
| Tompkins County, New York | 36109 | 0 | 7 | -7 |
| Cumberland County, North Carolina | 37051 | 75 | 0 | 75 |
| Davidson County, North Carolina | 37057 | 35 | 0 | 35 |
| Durham County, North Carolina | 37063 | 0 | 20 | -20 |
| Franklin County, North Carolina | 37069 | 0 | 5 | -5 |
| Guilford County, North Carolina | 37081 | 0 | 12 | -12 |
| Harnett County, North Carolina | 37085 | 0 | 17 | -17 |
| Iredell County, North Carolina | 37097 | 57 | 0 | 57 |
| McDowell County, North Carolina | 37111 | 0 | 23 | -23 |
| Mecklenburg County, North Carolina | 37119 | 92 | 22 | 70 |
| Pitt County, North Carolina | 37147 | 17 | 0 | 17 |
| Union County, North Carolina | 37179 | 233 | 0 | 233 |
| Wake County, North Carolina | 37183 | 61 | 34 | 27 |
| Yancey County, North Carolina | 37199 | 0 | 4 | -4 |
| Cuyahoga County, Ohio | 39035 | 49 | 93 | -44 |
| Franklin County, Ohio | 39049 | 280 | 8 | 272 |
| Greene County, Ohio | 39057 | 0 | 7 | -7 |
| Hamilton County, Ohio | 39061 | 0 | 34 | -34 |
| Knox County, Ohio | 39083 | 51 | 0 | 51 |
| Lorain County, Ohio | 39093 | 0 | 7 | -7 |
| Lucas County, Ohio | 39095 | 0 | 7 | -7 |
| Mahoning County, Ohio | 39099 | 0 | 19 | -19 |
| Portage County, Ohio | 39133 | 0 | 2 | -2 |
| Stark County, Ohio | 39151 | 0 | 6 | -6 |
| Summit County, Ohio | 39153 | 6 | 0 | 6 |
| Washington County, Ohio | 39167 | 0 | 31 | -31 |
| Wood County, Ohio | 39173 | 0 | 23 | -23 |
| Atoka County, Oklahoma | 40005 | 0 | 1 | -1 |
| Cleveland County, Oklahoma | 40027 | 0 | 66 | -66 |
| Grady County, Oklahoma | 40051 | 0 | 9 | -9 |
| Le Flore County, Oklahoma | 40079 | 0 | 9 | -9 |
| Oklahoma County, Oklahoma | 40109 | 239 | 90 | 149 |
| Ottawa County, Oklahoma | 40115 | 0 | 9 | -9 |
| Payne County, Oklahoma | 40119 | 0 | 9 | -9 |
| Pottawatomie County, Oklahoma | 40125 | 0 | 4 | -4 |
| Pushmataha County, Oklahoma | 40127 | 0 | 2 | -2 |
| Stephens County, Oklahoma | 40137 | 163 | 0 | 163 |
| Tulsa County, Oklahoma | 40143 | 26 | 53 | -27 |
| Wagoner County, Oklahoma | 40145 | 0 | 19 | -19 |
| Washington County, Oklahoma | 40147 | 22 | 0 | 22 |
| Lane County, Oregon | 41039 | 9 | 0 | 9 |
| Multnomah County, Oregon | 41051 | 0 | 10 | -10 |
| Washington County, Oregon | 41067 | 0 | 11 | -11 |
| Allegheny County, Pennsylvania | 42003 | 376 | 97 | 279 |
| Beaver County, Pennsylvania | 42007 | 0 | 11 | -11 |
| Berks County, Pennsylvania | 42011 | 0 | 48 | -48 |
| Bucks County, Pennsylvania | 42017 | 18 | 121 | -103 |
| Chester County, Pennsylvania | 42029 | 148 | 0 | 148 |
| Cumberland County, Pennsylvania | 42041 | 0 | 8 | -8 |
| Dauphin County, Pennsylvania | 42043 | 14 | 17 | -3 |
| Lackawanna County, Pennsylvania | 42069 | 0 | 17 | -17 |
| Lehigh County, Pennsylvania | 42077 | 24 | 0 | 24 |
| Luzerne County, Pennsylvania | 42079 | 21 | 0 | 21 |
| Monroe County, Pennsylvania | 42089 | 0 | 21 | -21 |
| Montgomery County, Pennsylvania | 42091 | 47 | 0 | 47 |
| Philadelphia County, Pennsylvania | 42101 | 0 | 42 | -42 |
| Providence County, Rhode Island | 44007 | 0 | 18 | -18 |
| Beaufort County, South Carolina | 45013 | 20 | 0 | 20 |
| Darlington County, South Carolina | 45031 | 0 | 28 | -28 |
| Greenville County, South Carolina | 45045 | 0 | 43 | -43 |
| Horry County, South Carolina | 45051 | 0 | 55 | -55 |
| Lexington County, South Carolina | 45063 | 9 | 0 | 9 |
| Pickens County, South Carolina | 45077 | 13 | 0 | 13 |
| Richland County, South Carolina | 45079 | 179 | 8 | 171 |
| Custer County, South Dakota | 46033 | 0 | 53 | -53 |
| Davidson County, Tennessee | 47037 | 23 | 4 | 19 |
| Montgomery County, Tennessee | 47125 | 0 | 47 | -47 |
| Putnam County, Tennessee | 47141 | 0 | 44 | -44 |
| Rutherford County, Tennessee | 47149 | 9 | 0 | 9 |
| Sevier County, Tennessee | 47155 | 0 | 16 | -16 |
| Shelby County, Tennessee | 47157 | 69 | 26 | 43 |
| Van Buren County, Tennessee | 47175 | 0 | 17 | -17 |
| Williamson County, Tennessee | 47187 | 0 | 11 | -11 |
| Anderson County, Texas | 48001 | 1 | 38 | -37 |
| Angelina County, Texas | 48005 | 13 | 23 | -10 |
| Aransas County, Texas | 48007 | 0 | 19 | -19 |
| Austin County, Texas | 48015 | 157 | 258 | -101 |
| Bee County, Texas | 48025 | 49 | 43 | 6 |
| Bell County, Texas | 48027 | 312 | 40 | 272 |
| Bexar County, Texas | 48029 | 643 | 672 | -29 |
| Bowie County, Texas | 48037 | 0 | 25 | -25 |
| Brazoria County, Texas | 48039 | 720 | 1724 | -1004 |
| Brazos County, Texas | 48041 | 312 | 587 | -275 |
| Brown County, Texas | 48049 | 0 | 33 | -33 |
| Burleson County, Texas | 48051 | 0 | 7 | -7 |
| Caldwell County, Texas | 48055 | 0 | 41 | -41 |
| Cameron County, Texas | 48061 | 84 | 64 | 20 |
| Camp County, Texas | 48063 | 9 | 0 | 9 |
| Cherokee County, Texas | 48073 | 0 | 11 | -11 |
| Collin County, Texas | 48085 | 159 | 355 | -196 |
| Colorado County, Texas | 48089 | 14 | 59 | -45 |
| Comal County, Texas | 48091 | 243 | 189 | 54 |
| Comanche County, Texas | 48093 | 0 | 9 | -9 |
| Cooke County, Texas | 48097 | 0 | 58 | -58 |
| Coryell County, Texas | 48099 | 18 | 97 | -79 |
| Dallas County, Texas | 48113 | 769 | 252 | 517 |
| Deaf Smith County, Texas | 48117 | 11 | 0 | 11 |
| Denton County, Texas | 48121 | 702 | 155 | 547 |
| DeWitt County, Texas | 48123 | 25 | 6 | 19 |
| Duval County, Texas | 48131 | 0 | 4 | -4 |
| Eastland County, Texas | 48133 | 0 | 23 | -23 |
| Ector County, Texas | 48135 | 20 | 39 | -19 |
| Ellis County, Texas | 48139 | 86 | 178 | -92 |
| El Paso County, Texas | 48141 | 839 | 30 | 809 |
| Erath County, Texas | 48143 | 10 | 10 | 0 |
| Falls County, Texas | 48145 | 275 | 0 | 275 |
| Fannin County, Texas | 48147 | 0 | 19 | -19 |
| Fayette County, Texas | 48149 | 17 | 18 | -1 |
| Freestone County, Texas | 48161 | 0 | 9 | -9 |
| Frio County, Texas | 48163 | 0 | 19 | -19 |
| Galveston County, Texas | 48167 | 229 | 1212 | -983 |
| Garza County, Texas | 48169 | 0 | 8 | -8 |
| Gray County, Texas | 48179 | 9 | 0 | 9 |
| Grayson County, Texas | 48181 | 8 | 131 | -123 |
| Gregg County, Texas | 48183 | 33 | 22 | 11 |
| Grimes County, Texas | 48185 | 0 | 26 | -26 |
| Guadalupe County, Texas | 48187 | 0 | 52 | -52 |
| Hale County, Texas | 48189 | 0 | 9 | -9 |
| Hardin County, Texas | 48199 | 0 | 2 | -2 |
| Harris County, Texas | 48201 | 21108 | 17007 | 4101 |
| Harrison County, Texas | 48203 | 0 | 44 | -44 |
| Hartley County, Texas | 48205 | 0 | 6 | -6 |
| Hays County, Texas | 48209 | 637 | 273 | 364 |
| Henderson County, Texas | 48213 | 6 | 142 | -136 |
| Hidalgo County, Texas | 48215 | 145 | 112 | 33 |
| Hockley County, Texas | 48219 | 0 | 10 | -10 |
| Hood County, Texas | 48221 | 1 | 0 | 1 |
| Hopkins County, Texas | 48223 | 0 | 11 | -11 |
| Howard County, Texas | 48227 | 0 | 11 | -11 |
| Hunt County, Texas | 48231 | 0 | 19 | -19 |
| Jefferson County, Texas | 48245 | 129 | 172 | -43 |
| Johnson County, Texas | 48251 | 20 | 0 | 20 |
| Jones County, Texas | 48253 | 0 | 8 | -8 |
| Karnes County, Texas | 48255 | 2 | 1 | 1 |
| Kaufman County, Texas | 48257 | 0 | 20 | -20 |
| Kerr County, Texas | 48265 | 76 | 74 | 2 |
| Lamar County, Texas | 48277 | 0 | 33 | -33 |
| La Salle County, Texas | 48283 | 0 | 11 | -11 |
| Lavaca County, Texas | 48285 | 0 | 34 | -34 |
| Lee County, Texas | 48287 | 0 | 14 | -14 |
| Leon County, Texas | 48289 | 213 | 0 | 213 |
| Liberty County, Texas | 48291 | 0 | 87 | -87 |
| Limestone County, Texas | 48293 | 0 | 16 | -16 |
| Llano County, Texas | 48299 | 0 | 13 | -13 |
| Lubbock County, Texas | 48303 | 24 | 393 | -369 |
| McLennan County, Texas | 48309 | 109 | 119 | -10 |
| Madison County, Texas | 48313 | 0 | 6 | -6 |
| Matagorda County, Texas | 48321 | 88 | 5 | 83 |
| Medina County, Texas | 48325 | 27 | 10 | 17 |
| Midland County, Texas | 48329 | 533 | 112 | 421 |
| Mitchell County, Texas | 48335 | 0 | 15 | -15 |
| Montgomery County, Texas | 48339 | 321 | 461 | -140 |
| Morris County, Texas | 48343 | 6 | 0 | 6 |
| Nacogdoches County, Texas | 48347 | 12 | 109 | -97 |
| Navarro County, Texas | 48349 | 9 | 5 | 4 |
| Nolan County, Texas | 48353 | 0 | 68 | -68 |
| Nueces County, Texas | 48355 | 346 | 497 | -151 |
| Orange County, Texas | 48361 | 1 | 0 | 1 |
| Panola County, Texas | 48365 | 0 | 2 | -2 |
| Polk County, Texas | 48373 | 10 | 35 | -25 |
| Randall County, Texas | 48381 | 358 | 61 | 297 |
| Rusk County, Texas | 48401 | 0 | 17 | -17 |
| San Augustine County, Texas | 48405 | 0 | 68 | -68 |
| San Jacinto County, Texas | 48407 | 16 | 6 | 10 |
| San Patricio County, Texas | 48409 | 16 | 65 | -49 |
| Shelby County, Texas | 48419 | 58 | 0 | 58 |
| Smith County, Texas | 48423 | 31 | 85 | -54 |
| Somervell County, Texas | 48425 | 23 | 0 | 23 |
| Tarrant County, Texas | 48439 | 423 | 364 | 59 |
| Taylor County, Texas | 48441 | 0 | 114 | -114 |
| Titus County, Texas | 48449 | 24 | 0 | 24 |
| Tom Green County, Texas | 48451 | 16 | 68 | -52 |
| Travis County, Texas | 48453 | 992 | 1171 | -179 |
| Tyler County, Texas | 48457 | 0 | 6 | -6 |
| Val Verde County, Texas | 48465 | 13 | 16 | -3 |
| Victoria County, Texas | 48469 | 111 | 63 | 48 |
| Walker County, Texas | 48471 | 149 | 247 | -98 |
| Waller County, Texas | 48473 | 89 | 285 | -196 |
| Washington County, Texas | 48477 | 44 | 79 | -35 |
| Webb County, Texas | 48479 | 48 | 1 | 47 |
| Wharton County, Texas | 48481 | 594 | 75 | 519 |
| Wichita County, Texas | 48485 | 0 | 35 | -35 |
| Wilbarger County, Texas | 48487 | 1 | 0 | 1 |
| Williamson County, Texas | 48491 | 54 | 308 | -254 |
| Wilson County, Texas | 48493 | 0 | 16 | -16 |
| Wise County, Texas | 48497 | 0 | 13 | -13 |
| Wood County, Texas | 48499 | 0 | 31 | -31 |
| Davis County, Utah | 49011 | 50 | 0 | 50 |
| Salt Lake County, Utah | 49035 | 0 | 45 | -45 |
| Utah County, Utah | 49049 | 0 | 21 | -21 |
| Rutland County, Vermont | 50021 | 0 | 4 | -4 |
| Albemarle County, Virginia | 51003 | 0 | 20 | -20 |
| Arlington County, Virginia | 51013 | 17 | 0 | 17 |
| Bedford County, Virginia | 51019 | 0 | 70 | -70 |
| Chesterfield County, Virginia | 51041 | 163 | 4 | 159 |
| Culpeper County, Virginia | 51047 | 0 | 31 | -31 |
| Fairfax County, Virginia | 51059 | 0 | 66 | -66 |
| Fauquier County, Virginia | 51061 | 0 | 6 | -6 |
| Henrico County, Virginia | 51087 | 0 | 23 | -23 |
| Loudoun County, Virginia | 51107 | 66 | 20 | 46 |
| York County, Virginia | 51199 | 48 | 0 | 48 |
| Chesapeake city, Virginia | 51550 | 0 | 41 | -41 |
| Emporia city, Virginia | 51595 | 105 | 0 | 105 |
| Hampton city, Virginia | 51650 | 0 | 4 | -4 |
| Lynchburg city, Virginia | 51680 | 0 | 48 | -48 |
| Newport News city, Virginia | 51700 | 0 | 101 | -101 |
| Petersburg city, Virginia | 51730 | 44 | 0 | 44 |
| Williamsburg city, Virginia | 51830 | 0 | 19 | -19 |
| Clallam County, Washington | 53009 | 0 | 48 | -48 |
| Clark County, Washington | 53011 | 0 | 41 | -41 |
| Grays Harbor County, Washington | 53027 | 0 | 38 | -38 |
| King County, Washington | 53033 | 40 | 201 | -161 |
| Pierce County, Washington | 53053 | 17 | 51 | -34 |
| Skagit County, Washington | 53057 | 0 | 20 | -20 |
| Snohomish County, Washington | 53061 | 0 | 33 | -33 |
| Walla Walla County, Washington | 53071 | 0 | 2 | -2 |
| Monongalia County, West Virginia | 54061 | 40 | 0 | 40 |
| Dane County, Wisconsin | 55025 | 42 | 49 | -7 |
| Milwaukee County, Wisconsin | 55079 | 0 | 15 | -15 |
| Winnebago County, Wisconsin | 55139 | 0 | 34 | -34 |
| Big Horn County, Wyoming | 56003 | 0 | 138 | -138 |
| San Juan Municipio, Puerto Rico | 72127 | 124 | 0 | 124 |
| Danbury town, Fairfield County, Connecticut | 0900118500 | 0 | 9 | -9 |
| Newtown town, Fairfield County, Connecticut | 0900152980 | 59 | 0 | 59 |
| New Haven town, New Haven County, Connecticut | 0900952070 | 0 | 21 | -21 |
| Wallingford town, New Haven County, Connecticut | 0900978740 | 0 | 6 | -6 |
| Ellington town, Tolland County, Connecticut | 0901325360 | 0 | 106 | -106 |
| Plainfield town, Windham County, Connecticut | 0901559980 | 0 | 14 | -14 |
| Greenfield Town city, Franklin County, Massachusetts | 2501127100 | 0 | 8 | -8 |
| Belmont town, Middlesex County, Massachusetts | 2501705070 | 0 | 26 | -26 |
| Burlington town, Middlesex County, Massachusetts | 2501709840 | 0 | 82 | -82 |
| Cambridge city, Middlesex County, Massachusetts | 2501711000 | 12 | 54 | -42 |
| Chelmsford town, Middlesex County, Massachusetts | 2501713135 | 161 | 0 | 161 |
| Malden city, Middlesex County, Massachusetts | 2501737875 | 0 | 2 | -2 |
| Brookline town, Norfolk County, Massachusetts | 2502109175 | 56 | 0 | 56 |
| Quincy city, Norfolk County, Massachusetts | 2502155745 | 0 | 73 | -73 |
| Plymouth town, Plymouth County, Massachusetts | 2502354310 | 0 | 8 | -8 |
| Boston city, Suffolk County, Massachusetts | 2502507000 | 0 | 69 | -69 |
| Worcester city, Worcester County, Massachusetts | 2502782000 | 211 | 7 | 204 |
| Lincoln charter township, Berrien County, Michigan | 2602147600 | 22 | 0 | 22 |
| Grand Rapids charter township, Kent County, Michigan | 2608134020 | 0 | 173 | -173 |
| Marquette city, Marquette County, Michigan | 2610351900 | 0 | 4 | -4 |
| Larkin charter township, Midland County, Michigan | 2611146160 | 5 | 0 | 5 |
| Auburn Hills city, Oakland County, Michigan | 2612504105 | 0 | 7 | -7 |
| Bloomfield charter township, Oakland County, Michigan | 2612509110 | 0 | 50 | -50 |
| Troy city, Oakland County, Michigan | 2612580700 | 72 | 0 | 72 |
| Ann Arbor city, Washtenaw County, Michigan | 2616103000 | 0 | 7 | -7 |
| Belleville city, Wayne County, Michigan | 2616307020 | 0 | 46 | -46 |
| Detroit city, Wayne County, Michigan | 2616322000 | 17 | 0 | 17 |
| Taylor city, Wayne County, Michigan | 2616379000 | 32 | 0 | 32 |
| Blaine city, Anoka County, Minnesota | 2700306382 | 60 | 0 | 60 |
| South Harbor township, Mille Lacs County, Minnesota | 2709561384 | 0 | 3 | -3 |
| Rochester city, Olmsted County, Minnesota | 2710954880 | 41 | 0 | 41 |
| St. Paul city, Ramsey County, Minnesota | 2712358000 | 0 | 26 | -26 |
| Otsego city, Wright County, Minnesota | 2717149138 | 0 | 22 | -22 |
| Milford town, Hillsborough County, New Hampshire | 3301148020 | 0 | 20 | -20 |
| Windsor town, Hillsborough County, New Hampshire | 3301185940 | 0 | 2 | -2 |
| Edgewater borough, Bergen County, New Jersey | 3400320020 | 42 | 0 | 42 |
| Hackensack city, Bergen County, New Jersey | 3400328680 | 53 | 0 | 53 |
| Maywood borough, Bergen County, New Jersey | 3400344880 | 16 | 0 | 16 |
| Magnolia borough, Camden County, New Jersey | 3400742630 | 22 | 0 | 22 |
| Glen Ridge borough, Essex County, New Jersey | 3401326610 | 41 | 0 | 41 |
| Jersey City city, Hudson County, New Jersey | 3401736000 | 25 | 0 | 25 |
| Hightstown borough, Mercer County, New Jersey | 3402131620 | 37 | 0 | 37 |
| Princeton, Mercer County, New Jersey | 3402160900 | 0 | 41 | -41 |
| West Windsor township, Mercer County, New Jersey | 3402180240 | 40 | 0 | 40 |
| Carteret borough, Middlesex County, New Jersey | 3402310750 | 0 | 22 | -22 |
| East Brunswick township, Middlesex County, New Jersey | 3402319000 | 11 | 0 | 11 |
| Edison township, Middlesex County, New Jersey | 3402320230 | 0 | 100 | -100 |
| Woodbridge township, Middlesex County, New Jersey | 3402382000 | 22 | 17 | 5 |
| Holmdel township, Monmouth County, New Jersey | 3402532640 | 0 | 93 | -93 |
| Bridgewater township, Somerset County, New Jersey | 3403507720 | 246 | 0 | 246 |
| Hillsborough township, Somerset County, New Jersey | 3403531890 | 21 | 0 | 21 |
| Summit city, Union County, New Jersey | 3403971430 | 0 | 135 | -135 |
| Bronx borough, Bronx County, New York | 3600508510 | 0 | 9 | -9 |
| Binghamton city, Broome County, New York | 3600706607 | 0 | 14 | -14 |
| Hyde Park town, Dutchess County, New York | 3602737209 | 0 | 5 | -5 |
| Brooklyn borough, Kings County, New York | 3604710022 | 121 | 0 | 121 |
| Rochester city, Monroe County, New York | 3605563000 | 0 | 8 | -8 |
| Hempstead town, Nassau County, New York | 3605934000 | 65 | 0 | 65 |
| Manhattan borough, New York County, New York | 3606144919 | 21 | 15 | 6 |
| Putnam Valley town, Putnam County, New York | 3607960147 | 22 | 0 | 22 |
| Queens borough, Queens County, New York | 3608160323 | 93 | 0 | 93 |
| Troy city, Rensselaer County, New York | 3608375484 | 0 | 15 | -15 |
| Orangetown town, Rockland County, New York | 3608755211 | 0 | 10 | -10 |
| East Hampton town, Suffolk County, New York | 3610322194 | 0 | 36 | -36 |
| Candor town, Tioga County, New York | 3610712221 | 207 | 0 | 207 |
| Ithaca city, Tompkins County, New York | 3610938077 | 0 | 7 | -7 |
| Hampton township, Allegheny County, Pennsylvania | 4200332328 | 0 | 84 | -84 |
| Indiana township, Allegheny County, Pennsylvania | 4200336808 | 0 | 5 | -5 |
| McCandless township, Allegheny County, Pennsylvania | 4200345900 | 9 | 0 | 9 |
| Moon township, Allegheny County, Pennsylvania | 4200350784 | 351 | 0 | 351 |
| Pittsburgh city, Allegheny County, Pennsylvania | 4200361000 | 16 | 8 | 8 |
| Hopewell township, Beaver County, Pennsylvania | 4200735640 | 0 | 11 | -11 |
| Cumru township, Berks County, Pennsylvania | 4201117720 | 0 | 48 | -48 |
| Bensalem township, Bucks County, Pennsylvania | 4201705616 | 18 | 0 | 18 |
| Doylestown township, Bucks County, Pennsylvania | 4201719792 | 0 | 121 | -121 |
| Caln township, Chester County, Pennsylvania | 4202910824 | 148 | 0 | 148 |
| Upper Allen township, Cumberland County, Pennsylvania | 4204178736 | 0 | 8 | -8 |
| Lower Paxton township, Dauphin County, Pennsylvania | 4204345056 | 14 | 0 | 14 |
| Lower Swatara township, Dauphin County, Pennsylvania | 4204345120 | 0 | 17 | -17 |
| Scranton city, Lackawanna County, Pennsylvania | 4206969000 | 0 | 17 | -17 |
| Allentown city, Lehigh County, Pennsylvania | 4207702000 | 24 | 0 | 24 |
| Wilkes-Barre city, Luzerne County, Pennsylvania | 4207985152 | 21 | 0 | 21 |
| Stroud township, Monroe County, Pennsylvania | 4208974880 | 0 | 21 | -21 |
| Upper Merion township, Montgomery County, Pennsylvania | 4209179136 | 47 | 0 | 47 |
| Philadelphia city, Philadelphia County, Pennsylvania | 4210160000 | 0 | 42 | -42 |
| Providence city, Providence County, Rhode Island | 4400759000 | 0 | 18 | -18 |
| Sudbury town, Rutland County, Vermont | 5002171050 | 0 | 4 | -4 |
| Madison city, Dane County, Wisconsin | 5502548000 | 0 | 49 | -49 |
| Stoughton city, Dane County, Wisconsin | 5502577675 | 42 | 0 | 42 |
| Glendale city, Milwaukee County, Wisconsin | 5507929400 | 0 | 15 | -15 |
| Menasha city, Winnebago County, Wisconsin | 5513950825 | 0 | 34 | -34 |
| GENERAL DEMOGRAPHIC CHARACTERISTICS (DP1) | ItemCode | County Estimate | County Percent | U.S. Estimate | U.S. Percent |
| SEX AND AGE | |||||
| .Total population | D001 | 858,527 | 100.0 | 331,893,745 | 100.0 |
| ..Male | D002 | 423,394 | 49.3 | 164,350,703 | 49.5 |
| ..Female | D003 | 435,133 | 50.7 | 167,543,042 | 50.5 |
| ..Sex ratio (males per 100 females) | D004 | 97.3 | 98.1 | ||
| ..Under 5 years | D005 | 52,746 | 6.1 | 18,661,245 | 5.6 |
| ..5 to 9 years | D006 | 66,367 | 7.7 | 20,010,813 | 6.0 |
| ..10 to 14 years | D007 | 70,078 | 8.2 | 21,821,492 | 6.6 |
| ..15 to 19 years | D008 | 60,638 | 7.1 | 21,824,088 | 6.6 |
| ..20 to 24 years | D009 | 48,250 | 5.6 | 21,382,643 | 6.4 |
| ..25 to 34 years | D010 | 103,798 | 12.1 | 45,079,138 | 13.6 |
| ..35 to 44 years | D011 | 133,891 | 15.6 | 43,733,561 | 13.2 |
| ..45 to 54 years | D012 | 121,524 | 14.2 | 40,673,717 | 12.3 |
| ..55 to 59 years | D013 | 50,929 | 5.9 | 21,141,152 | 6.4 |
| ..60 to 64 years | D014 | 46,510 | 5.4 | 21,673,882 | 6.5 |
| ..65 to 74 years | D015 | 69,813 | 8.1 | 33,778,204 | 10.2 |
| ..75 to 84 years | D016 | 24,496 | 2.9 | 16,151,137 | 4.9 |
| ..85 years and over | D017 | 9,487 | 1.1 | 5,962,673 | 1.8 |
| ..Median age (years) | D018 | 36.9 | 38.8 | ||
| ..Under 18 years | D019 | 231,107 | 26.9 | 73,475,278 | 22.1 |
| ..16 years and over | D020 | 654,759 | 76.3 | 267,057,693 | 80.5 |
| ..18 years and over | D021 | 627,420 | 73.1 | 258,418,467 | 77.9 |
| ..21 years and over | D022 | 598,713 | 69.7 | 245,143,605 | 73.9 |
| ..62 years and over | D023 | 130,209 | 15.2 | 68,689,093 | 20.7 |
| ..65 years and over | D024 | 103,796 | 12.1 | 55,892,014 | 16.8 |
| ..18 years and over | D025 | 627,420 | 100.0 | 258,418,467 | 100.0 |
| ...Male | D026 | 305,412 | 48.7 | 126,690,177 | 49.0 |
| ...Female | D027 | 322,008 | 51.3 | 131,728,290 | 51.0 |
| ...Sex ratio (males per 100 females) | D028 | 94.8 | 96.2 | ||
| ..65 years and over | D029 | 103,796 | 100.0 | 55,892,014 | 100.0 |
| ...Male | D030 | 48,071 | 46.3 | 25,191,742 | 45.1 |
| ...Female | D031 | 55,725 | 53.7 | 30,700,272 | 54.9 |
| ...Sex ratio (males per 100 females) | D032 | 86.3 | 82.1 | ||
| RACE | |||||
| .Total population | D033 | 858,527 | 100.0 | 331,893,745 | 100.0 |
| ..One race | D034 | 732,687 | 85.3 | 290,007,306 | 87.4 |
| ..Two or more races | D035 | 125,840 | 14.7 | 41,886,439 | 12.6 |
| ..One race | D036 | 732,687 | 85.3 | 290,007,306 | 87.4 |
| ...White | D037 | 282,582 | 32.9 | 202,981,791 | 61.2 |
| ...Black or African American | D038 | 178,313 | 20.8 | 40,194,304 | 12.1 |
| ...American Indian and Alaska Native | D039 | 2,750 | 0.3 | 3,158,694 | 1.0 |
| ....Cherokee tribal grouping | D040 | -1 | 100.0 | 227,856 | 100.0 |
| ....Chippewa tribal grouping | D041 | -1 | 100.0 | 89,481 | 100.0 |
| ....Navajo tribal grouping | D042 | -1 | 100.0 | 328,370 | 100.0 |
| ....Sioux tribal grouping | D043 | -1 | 100.0 | 106,145 | 100.0 |
| ...Asian | D044 | 183,937 | 21.4 | 19,157,288 | 5.8 |
| ....Asian Indian | D045 | 63,519 | 7.4 | 4,402,223 | 1.3 |
| ....Chinese | D046 | 41,373 | 4.8 | 4,360,466 | 1.3 |
| ....Filipino | D047 | 7,779 | 0.9 | 2,960,811 | 0.9 |
| ....Japanese | D048 | 1,497 | 0.2 | 742,549 | 0.2 |
| ....Korean | D049 | 1,294 | 0.2 | 1,445,315 | 0.4 |
| ....Vietnamese | D050 | 28,680 | 3.3 | 1,896,690 | 0.6 |
| ....Other Asian | D051 | 39,795 | 4.6 | 3,349,234 | 1.0 |
| ...Native Hawaiian and Other Pacific Islander | D052 | 648 | 0.1 | 612,448 | 0.2 |
| ....Native Hawaiian | D053 | -1 | 100.0 | 185,391 | 100.0 |
| ....Guamanian or Chamorro | D054 | -1 | 100.0 | 68,757 | 100.0 |
| ....Samoan | D055 | -1 | 100.0 | 121,585 | 100.0 |
| ....Other Pacific Islander | D056 | -1 | 100.0 | 236,715 | 100.0 |
| ...Some other race | D057 | 84,457 | 9.8 | 23,902,781 | 7.2 |
| ..Two or more races | D058 | 125,840 | 14.7 | 41,886,439 | 12.6 |
| ...White and Black or African American | D059 | 6,113 | 0.7 | 3,569,990 | 1.1 |
| ...White and American Indian and Alaska Native | D060 | 2,700 | 0.3 | 3,212,437 | 1.0 |
| ...White and Asian | D061 | 8,717 | 1.0 | 2,773,539 | 0.8 |
| ...Black or African American and American Indian and Alaska Native | D062 | 452 | 0.1 | 462,571 | 0.1 |
| Race alone or in combination with one or more other races | |||||
| .Total population | D063 | 858,527 | 100.0 | 331,893,745 | 100.0 |
| ..White | D064 | 400,433 | 46.6 | 241,836,150 | 72.9 |
| ..Black or African American | D065 | 189,748 | 22.1 | 47,234,227 | 14.2 |
| ..American Indian and Alaska Native | D066 | 11,709 | 1.4 | 8,750,904 | 2.6 |
| ..Asian | D067 | 196,896 | 22.9 | 23,545,238 | 7.1 |
| ..Native Hawaiian and Other Pacific Islander | D068 | 1,556 | 0.2 | 1,541,118 | 0.5 |
| ..Some other race | D069 | 187,855 | 21.9 | 53,868,002 | 16.2 |
| HISPANIC OR LATINO AND RACE | |||||
| .Total population | D070 | 858,527 | 100.0 | 331,893,745 | 100.0 |
| ..Hispanic or Latino (of any race) | D071 | 218,862 | 25.5 | 62,529,064 | 18.8 |
| ...Mexican | D072 | 132,487 | 15.4 | 37,235,886 | 11.2 |
| ...Puerto Rican | D073 | 2,490 | 0.3 | 5,798,287 | 1.7 |
| ...Cuban | D074 | 5,161 | 0.6 | 2,400,152 | 0.7 |
| ...Other Hispanic or Latino | D075 | 78,724 | 9.2 | 17,094,739 | 5.2 |
| ..Not Hispanic or Latino | D076 | 639,665 | 74.5 | 269,364,681 | 81.2 |
| ...White alone | D077 | 249,739 | 29.1 | 192,753,887 | 58.1 |
| ...Black or African American alone | D078 | 176,908 | 20.6 | 39,269,297 | 11.8 |
| ...American Indian and Alaska Native alone | D079 | 848 | 0.1 | 1,749,871 | 0.5 |
| ...Asian alone | D080 | 180,100 | 21.0 | 18,889,050 | 5.7 |
| ...Native Hawaiian and Other Pacific Islander alone | D081 | 648 | 0.1 | 558,717 | 0.2 |
| ...Some other race alone | D082 | 2,893 | 0.3 | 1,845,426 | 0.6 |
| ...Two or more races | D083 | 28,529 | 3.3 | 14,298,433 | 4.3 |
| ....Two races including Some other race | D084 | 8,121 | 0.9 | 3,342,216 | 1.0 |
| ....Two races excluding Some other race, and Three or more races | D085 | 20,408 | 2.4 | 10,956,217 | 3.3 |
| .Total housing units | D086 | 294,827 | 100.0 | 142,148,050 | 100.0 |
| CITIZEN, VOTING AGE POPULATION | |||||
| .Citizen, 18 and over population | D087 | 532,060 | 100.0 | 239,035,960 | 100.0 |
| ..Male | D088 | 260,327 | 48.9 | 116,766,700 | 48.8 |
| ..Female | D089 | 271,733 | 51.1 | 122,269,260 | 51.2 |
| SOCIAL CHARACTERISTICS (DP2) | ItemCode | County Estimate | County Percent | U.S. Estimate | U.S. Percent |
| HOUSEHOLDS BY TYPE | |||||
| .Total households | S001 | 283,446 | 100.0 | 127,544,730 | 100.0 |
| ..Married-couple family | S002 | 186,392 | 65.8 | 60,360,084 | 47.3 |
| ...With own children of the householder under 18 years | S003 | 99,003 | 34.9 | 22,870,106 | 17.9 |
| ..Cohabiting couple household | S004 | 12,745 | 4.5 | 9,195,007 | 7.2 |
| ...With own children of the householder under 18 years | S005 | 3,821 | 1.3 | 2,933,896 | 2.3 |
| ..Male householder, no spouse/partner present | S006 | 35,676 | 12.6 | 23,109,048 | 18.1 |
| ...With own children of the householder under 18 years | S007 | 5,298 | 1.9 | 1,572,727 | 1.2 |
| ...Householder living alone | S008 | 20,423 | 7.2 | 16,359,032 | 12.8 |
| ....65 years and over | S009 | 6,751 | 2.4 | 4,814,086 | 3.8 |
| ..Female householder, no spouse/partner present | S010 | 48,633 | 17.2 | 34,880,591 | 27.3 |
| ...With own children of the householder under 18 years | S011 | 9,248 | 3.3 | 6,253,443 | 4.9 |
| ...Householder living alone | S012 | 23,182 | 8.2 | 19,691,382 | 15.4 |
| ....65 years and over | S013 | 10,447 | 3.7 | 9,539,491 | 7.5 |
| ..Households with one or more people under 18 years | S014 | 128,428 | 45.3 | 37,661,807 | 29.5 |
| ..Households with one or more people 65 years and over | S015 | 77,805 | 27.4 | 39,884,869 | 31.3 |
| ..Average household size | S016 | 3.01 | 2.54 | ||
| ..Average family size | S017 | 3.38 | 3.15 | ||
| RELATIONSHIP | |||||
| .Population in households | S018 | 853,171 | 100.0 | 324,132,886 | 100.0 |
| ..Householder | S019 | 283,446 | 33.2 | 127,544,730 | 39.3 |
| ..Spouse | S020 | 185,527 | 21.7 | 60,303,729 | 18.6 |
| ..Unmarried partner | S021 | 13,649 | 1.6 | 9,251,322 | 2.9 |
| ..Child | S022 | 291,636 | 34.2 | 94,303,591 | 29.1 |
| ..Other relatives | S023 | 68,021 | 8.0 | 22,586,523 | 7.0 |
| ..Other nonrelatives | S024 | 10,892 | 1.3 | 10,142,991 | 3.1 |
| MARITAL STATUS | |||||
| .Males 15 years and over | S025 | 326,793 | 100.0 | 133,358,219 | 100.0 |
| ..Never married | S026 | 101,670 | 31.1 | 49,530,132 | 37.1 |
| ..Now married, except separated | S027 | 197,425 | 60.4 | 66,215,121 | 49.7 |
| ..Separated | S028 | 4,168 | 1.3 | 1,981,789 | 1.5 |
| ..Widowed | S029 | 6,362 | 1.9 | 3,411,896 | 2.6 |
| ..Divorced | S030 | 17,168 | 5.3 | 12,219,281 | 9.2 |
| .Females 15 years and over | S031 | 342,543 | 100.0 | 138,041,976 | 100.0 |
| ..Never married | S032 | 87,718 | 25.6 | 43,214,903 | 31.3 |
| ..Now married, except separated | S033 | 202,438 | 59.1 | 64,153,674 | 46.5 |
| ..Separated | S034 | 3,954 | 1.2 | 2,657,369 | 1.9 |
| ..Widowed | S035 | 21,701 | 6.3 | 11,416,414 | 8.3 |
| ..Divorced | S036 | 26,732 | 7.8 | 16,599,616 | 12.0 |
| FERTILITY | |||||
| .Number of women 15 to 50 years old who had a birth in the past 12 months | S037 | 12,864 | 100.0 | 3,922,188 | 100.0 |
| ..Unmarried women (widowed, divorced, and never married) | S038 | 961 | 7.5 | 1,242,288 | 31.7 |
| ...Per 1,000 unmarried women | S039 | 11 | -1.0 | 28 | -1.0 |
| ..Per 1,000 women 15 to 50 years old | S040 | 60 | -1.0 | 51 | -1.0 |
| ..Per 1,000 women 15 to 19 years old | S041 | 10 | -1.0 | 8 | -1.0 |
| ..Per 1,000 women 20 to 34 years old | S042 | 85 | -1.0 | 84 | -1.0 |
| ..Per 1,000 women 35 to 50 years old | S043 | 55 | -1.0 | 32 | -1.0 |
| GRANDPARENTS | |||||
| .Number of grandparents living with own grandchildren under 18 years | S044 | 23,403 | 100.0 | 6,658,830 | 100.0 |
| ..Grandparents responsible for grandchildren | S045 | 4,377 | 18.7 | 2,085,527 | 31.3 |
| ..Years responsible for grandchildren | |||||
| ...Less than 1 year | S046 | 105 | 0.4 | 315,750 | 4.7 |
| ...1 or 2 years | S047 | 1,310 | 5.6 | 402,768 | 6.0 |
| ...3 or 4 years | S048 | 1,339 | 5.7 | 338,613 | 5.1 |
| ...5 or more years | S049 | 1,623 | 6.9 | 1,028,396 | 15.4 |
| .Number of grandparents responsible for own grandchildren under 18 years | S050 | 4,377 | 100.0 | 2,085,527 | 100.0 |
| ..Who are female | S051 | 2,063 | 47.1 | 1,322,096 | 63.4 |
| ..Who are married | S052 | 3,168 | 72.4 | 1,396,788 | 67.0 |
| SCHOOL ENROLLMENT | |||||
| .Population 3 years and over enrolled in school | S053 | 240,608 | 100.0 | 79,453,524 | 100.0 |
| ..Nursery school, preschool | S054 | 11,895 | 4.9 | 4,095,935 | 5.2 |
| ..Kindergarten | S055 | 10,610 | 4.4 | 4,011,805 | 5.0 |
| ..Elementary school (grades 1-8) | S056 | 99,688 | 41.4 | 32,855,519 | 41.4 |
| ..High school (grades 9-12) | S057 | 58,973 | 24.5 | 17,293,504 | 21.8 |
| ..College or graduate school | S058 | 59,442 | 24.7 | 21,196,761 | 26.7 |
| EDUCATIONAL ATTAINMENT | |||||
| .Population 25 years and over | S059 | 560,448 | 100.0 | 228,193,464 | 100.0 |
| ..Less than 9th grade | S060 | 26,583 | 4.7 | 10,860,370 | 4.8 |
| ..9th to 12th grade, no diploma | S061 | 21,679 | 3.9 | 13,412,111 | 5.9 |
| ..High school graduate (includes equivalency) | S062 | 107,907 | 19.3 | 59,996,344 | 26.3 |
| ..Some college, no degree | S063 | 82,770 | 14.8 | 44,048,941 | 19.3 |
| ..Associate's degree | S064 | 38,275 | 6.8 | 19,972,235 | 8.8 |
| ..Bachelor's degree | S065 | 165,336 | 29.5 | 48,482,060 | 21.2 |
| ..Graduate or professional degree | S066 | 117,898 | 21.0 | 31,421,403 | 13.8 |
| ..High school graduate or higher | S067 | 512,186 | 91.4 | 203,920,983 | 89.4 |
| ..Bachelor's degree or higher | S068 | 283,234 | 50.5 | 79,903,463 | 35.0 |
| VETERAN STATUS | |||||
| .Civilian population 18 years and over | S069 | 626,943 | 100.0 | 257,083,784 | 100.0 |
| ..Civilian veterans | S070 | 31,316 | 5.0 | 16,501,502 | 6.4 |
| DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION | |||||
| .Total Civilian Noninstitutionalized Population | S071 | 853,228 | 100.0 | 326,912,547 | 100.0 |
| ..With a disability | S072 | 57,990 | 6.8 | 42,485,034 | 13.0 |
| .Under 18 years | S073 | 231,000 | 100.0 | 73,357,731 | 100.0 |
| ..With a disability | S074 | 5,676 | 2.5 | 3,399,376 | 4.6 |
| .18 to 64 years | S075 | 519,260 | 100.0 | 198,812,874 | 100.0 |
| ..With a disability | S076 | 24,234 | 4.7 | 21,246,505 | 10.7 |
| .65 years and over | S077 | 102,968 | 100.0 | 54,741,942 | 100.0 |
| ..With a disability | S078 | 28,080 | 27.3 | 17,839,153 | 32.6 |
| RESIDENCE 1 YEAR AGO | |||||
| .Population 1 year and over | S079 | 848,537 | 100.0 | 328,464,538 | 100.0 |
| ..Same house | S080 | 743,708 | 87.6 | 286,552,923 | 87.2 |
| ..Different house in the U.S. or abroad | S081 | 104,829 | 12.4 | 41,911,615 | 12.8 |
| ..Different house in the U.S. | S082 | 96,578 | 11.4 | 40,436,958 | 12.3 |
| ...Same county | S083 | 36,291 | 4.3 | 21,878,668 | 6.7 |
| ...Different county | S084 | 60,287 | 7.1 | 18,558,290 | 5.7 |
| ....Same state | S085 | 47,673 | 5.6 | 10,698,453 | 3.3 |
| ....Different state | S086 | 12,614 | 1.5 | 7,859,837 | 2.4 |
| ..Abroad | S087 | 8,251 | 1.0 | 1,474,657 | 0.4 |
| PLACE OF BIRTH | |||||
| .Total population | S088 | 858,527 | 100.0 | 331,893,745 | 100.0 |
| ..Native | S089 | 583,310 | 67.9 | 286,623,642 | 86.4 |
| ...Born in United States | S090 | 571,016 | 66.5 | 281,070,671 | 84.7 |
| ....State of residence | S091 | 394,565 | 46.0 | 191,929,224 | 57.8 |
| ....Different state | S092 | 176,451 | 20.6 | 89,141,447 | 26.9 |
| ...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s) | S093 | 12,294 | 1.4 | 5,552,971 | 1.7 |
| ..Foreign born | S094 | 275,217 | 32.1 | 45,270,103 | 13.6 |
| U.S. CITIZENSHIP STATUS | |||||
| .Foreign-born population | S095 | 275,217 | 100.0 | 45,270,103 | 100.0 |
| ..Naturalized U.S. citizen | S096 | 157,446 | 57.2 | 24,044,083 | 53.1 |
| ..Not a U.S. citizen | S097 | 117,771 | 42.8 | 21,226,020 | 46.9 |
| YEAR OF ENTRY | |||||
| .Population born outside the United States | S098 | 287,511 | 100.0 | 50,823,074 | 100.0 |
| ..Native | S099 | 12,294 | 100.0 | 5,552,971 | 100.0 |
| ...Entered 2010 or later | S100 | 5,563 | 45.2 | 1,697,342 | 30.6 |
| ...Entered before 2010 | S101 | 6,731 | 54.8 | 3,855,629 | 69.4 |
| ..Foreign born | S102 | 275,217 | 100.0 | 45,270,103 | 100.0 |
| ...Entered 2010 or later | S103 | 110,202 | 40.0 | 12,717,163 | 28.1 |
| ...Entered before 2010 | S104 | 165,015 | 60.0 | 32,552,940 | 71.9 |
| WORLD REGION OF BIRTH OF FOREIGN BORN | |||||
| .Foreign-born population, excluding population born at sea | S105 | 275,217 | 100.0 | 45,269,644 | 100.0 |
| ..Europe | S106 | 17,769 | 6.5 | 4,865,317 | 10.7 |
| ..Asia | S107 | 139,858 | 50.8 | 14,034,338 | 31.0 |
| ..Africa | S108 | 37,149 | 13.5 | 2,597,894 | 5.7 |
| ..Oceania | S109 | 0 | 100.0 | 292,766 | 100.0 |
| ..Latin America | S110 | 77,081 | 28.0 | 22,691,727 | 50.1 |
| ..Northern America | S111 | 3,360 | 1.2 | 787,602 | 1.7 |
| LANGUAGE SPOKEN AT HOME | |||||
| .Population 5 years and over | S112 | 805,781 | 100.0 | 313,232,500 | 100.0 |
| ..English only | S113 | 480,514 | 59.6 | 245,478,064 | 78.4 |
| ..Language other than English | S114 | 325,267 | 40.4 | 67,754,436 | 21.6 |
| ...Speak English less than very well | S115 | 115,265 | 14.3 | 25,921,267 | 8.3 |
| ..Spanish | S116 | 137,599 | 17.1 | 41,254,941 | 13.2 |
| ...Speak English less than very well | S117 | 48,433 | 6.0 | 16,299,869 | 5.2 |
| ..Other Indo-European languages | S118 | 61,911 | 7.7 | 11,802,904 | 3.8 |
| ...Speak English less than very well | S119 | 14,727 | 1.8 | 3,639,669 | 1.2 |
| ..Asian and Pacific Islander languages | S120 | 93,782 | 11.6 | 10,915,574 | 3.5 |
| ...Speak English less than very well | S121 | 45,167 | 5.6 | 4,884,562 | 1.6 |
| ..Other languages | S122 | 31,975 | 4.0 | 3,781,017 | 1.2 |
| ...Speak English less than very well | S123 | 6,938 | 0.9 | 1,097,167 | 0.4 |
| ANCESTRY | |||||
| .Total population | S124 | 858,527 | 100.0 | 331,893,745 | 100.0 |
| ..American | S125 | 33,819 | 3.9 | 17,625,957 | 5.3 |
| ..Arab | S126 | 14,345 | 1.7 | 2,222,769 | 0.7 |
| ..Czech | S127 | 7,720 | 0.9 | 1,252,833 | 0.4 |
| ..Danish | S128 | 987 | 0.1 | 1,122,719 | 0.3 |
| ..Dutch | S129 | 2,443 | 0.3 | 3,083,041 | 0.9 |
| ..English | S130 | 56,992 | 6.6 | 31,825,171 | 9.6 |
| ..French (except Basque) | S131 | 8,852 | 1.0 | 6,448,506 | 1.9 |
| ..French Canadian | S132 | 1,916 | 0.2 | 1,602,027 | 0.5 |
| ..German | S133 | 53,797 | 6.3 | 42,220,180 | 12.7 |
| ..Greek | S134 | 616 | 0.1 | 1,184,289 | 0.4 |
| ..Hungarian | S135 | 1,178 | 0.1 | 1,221,273 | 0.4 |
| ..Irish | S136 | 35,585 | 4.1 | 31,495,897 | 9.5 |
| ..Italian | S137 | 11,568 | 1.3 | 15,947,138 | 4.8 |
| ..Lithuanian | S138 | 396 | 0.0 | 573,618 | 0.2 |
| ..Norwegian | S139 | 4,834 | 0.6 | 3,885,380 | 1.2 |
| ..Polish | S140 | 9,429 | 1.1 | 8,237,026 | 2.5 |
| ..Portuguese | S141 | 2,260 | 0.3 | 1,306,039 | 0.4 |
| ..Russian | S142 | 6,120 | 0.7 | 2,407,434 | 0.7 |
| ..Scotch-Irish | S143 | 3,923 | 0.5 | 2,495,113 | 0.8 |
| ..Scottish | S144 | 8,834 | 1.0 | 5,244,788 | 1.6 |
| ..Slovak | S145 | 570 | 0.1 | 594,844 | 0.2 |
| ..Subsaharan African | S146 | 36,270 | 4.2 | 3,967,734 | 1.2 |
| ..Swedish | S147 | 2,102 | 0.2 | 3,318,578 | 1.0 |
| ..Swiss | S148 | 299 | 0.0 | 839,159 | 0.3 |
| ..Ukrainian | S149 | 1,013 | 0.1 | 980,819 | 0.3 |
| ..Welsh | S150 | 2,475 | 0.3 | 1,553,417 | 0.5 |
| ..West Indian (excluding Hispanic origin groups) | S151 | 5,325 | 0.6 | 3,064,655 | 0.9 |
| COMPUTERS AND INTERNET USE | |||||
| .Total households | S152 | 283,446 | 100.0 | 127,544,730 | 100.0 |
| ..With a computer | S153 | 276,486 | 97.5 | 121,224,032 | 95.0 |
| ..With a broadband Internet subscription | S154 | 268,651 | 94.8 | 114,964,205 | 90.1 |
| ECONOMIC CHARACTERISTICS (DP3) | ItemCode | County Estimate | County Percent | U.S. Estimate | U.S. Percent |
| EMPLOYMENT STATUS | |||||
| .Population 16 years and over | E001 | 654,759 | 100.0 | 267,057,693 | 100.0 |
| ..In labor force | E002 | 426,791 | 65.2 | 168,236,937 | 63.0 |
| ...Civilian labor force | E003 | 426,314 | 65.1 | 166,900,336 | 62.5 |
| ....Employed | E004 | 401,144 | 61.3 | 156,380,433 | 58.6 |
| ....Unemployed | E005 | 25,170 | 3.8 | 10,519,903 | 3.9 |
| ...Armed Forces | E006 | 477 | 0.1 | 1,336,601 | 0.5 |
| ..Not in labor force | E007 | 227,968 | 34.8 | 98,820,756 | 37.0 |
| .Civilian labor force | E008 | 426,314 | 100.0 | 166,900,336 | 100.0 |
| ..Unemployment Rate | E009 | 5.90 | 6.30 | ||
| .Females 16 years and over | E010 | 335,050 | 100.0 | 135,931,305 | 100.0 |
| ..In labor force | E011 | 196,010 | 58.5 | 79,347,771 | 58.4 |
| ...Civilian labor force | E012 | 196,010 | 58.5 | 79,128,144 | 58.2 |
| ....Employed | E013 | 184,449 | 55.1 | 74,173,887 | 54.6 |
| .Own children of the householder under 6 years | E014 | 66,895 | 100.0 | 21,632,850 | 100.0 |
| ..All parents in family in labor force | E015 | 40,701 | 60.8 | 14,432,156 | 66.7 |
| .Own children of the householder 6 to 17 years | E016 | 157,637 | 100.0 | 48,027,938 | 100.0 |
| ..All parents in family in labor force | E017 | 114,601 | 72.7 | 34,209,802 | 71.2 |
| COMMUTING TO WORK | |||||
| .Workers 16 years and over | E018 | 394,396 | 100.0 | 154,314,179 | 100.0 |
| ..Car, truck, or van -- drove alone | E019 | 273,697 | 69.4 | 104,650,121 | 67.8 |
| ..Car, truck, or van -- carpooled | E020 | 27,913 | 7.1 | 12,018,354 | 7.8 |
| ..Public transportation (excluding taxicab) | E021 | 2,282 | 0.6 | 3,793,329 | 2.5 |
| ..Walked | E022 | 2,308 | 0.6 | 3,399,405 | 2.2 |
| ..Other means | E023 | 6,874 | 1.7 | 2,884,872 | 1.9 |
| ..Worked from home | E024 | 81,322 | 20.6 | 27,568,098 | 17.9 |
| ..Mean travel time to work (minutes) | E025 | 29.20 | 25.60 | ||
| OCCUPATION | |||||
| .Civilian employed population 16 years and over | E026 | 401,144 | 100.0 | 156,380,433 | 100.0 |
| ..Management, business, science, and arts occupations | E027 | 200,780 | 50.1 | 66,001,412 | 42.2 |
| ..Service occupations | E028 | 44,606 | 11.1 | 25,151,071 | 16.1 |
| ..Sales and office occupations | E029 | 87,332 | 21.8 | 31,329,510 | 20.0 |
| ..Natural resources, construction, and maintenance occupations | E030 | 26,831 | 6.7 | 13,368,928 | 8.5 |
| ..Production, transportation, and material moving occupations | E031 | 41,595 | 10.4 | 20,529,512 | 13.1 |
| INDUSTRY | |||||
| .Civilian employed population 16 years and over | E032 | 401,144 | 100.0 | 156,380,433 | 100.0 |
| ..Agriculture, forestry, fishing and hunting, and mining | E033 | 11,653 | 2.9 | 2,445,458 | 1.6 |
| ..Construction | E034 | 24,819 | 6.2 | 10,773,757 | 6.9 |
| ..Manufacturing | E035 | 31,387 | 7.8 | 15,738,828 | 10.1 |
| ..Wholesale trade | E036 | 11,224 | 2.8 | 3,616,410 | 2.3 |
| ..Retail trade | E037 | 45,716 | 11.4 | 17,307,114 | 11.1 |
| ..Transportation and warehousing, and utilities | E038 | 26,767 | 6.7 | 9,237,812 | 5.9 |
| ..Information | E039 | 6,233 | 1.6 | 2,908,107 | 1.9 |
| ..Finance and insurance, and real estate and rental and leasing | E040 | 28,835 | 7.2 | 10,659,331 | 6.8 |
| ..Professional, scientific, and management, and administrative and waste management services | E041 | 57,677 | 14.4 | 19,360,141 | 12.4 |
| ..Educational services, and health care and social assistance | E042 | 103,961 | 25.9 | 36,749,102 | 23.5 |
| ..Arts, entertainment, and recreation, and accommodation and food services | E043 | 21,740 | 5.4 | 12,892,907 | 8.2 |
| ..Other services, except public administration | E044 | 19,651 | 4.9 | 7,170,404 | 4.6 |
| ..Public administration | E045 | 11,481 | 2.9 | 7,521,062 | 4.8 |
| CLASS OF WORKER | |||||
| .Civilian employed population 16 years and over | E046 | 401,144 | 100.0 | 156,380,433 | 100.0 |
| ..Private wage and salary workers | E047 | 313,150 | 78.1 | 123,744,069 | 79.1 |
| ..Government workers | E048 | 58,626 | 14.6 | 22,860,100 | 14.6 |
| ..Self-employed in own not incorporated business workers | E049 | 27,661 | 6.9 | 9,481,077 | 6.1 |
| ..Unpaid family workers | E050 | 1,707 | 0.4 | 295,187 | 0.2 |
| INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS) | |||||
| .Total households | E051 | 283,446 | 100.0 | 127,544,730 | 100.0 |
| ..Less than $10,000 | E052 | 10,870 | 3.8 | 7,689,277 | 6.0 |
| ..$10,000 to $14,999 | E053 | 4,218 | 1.5 | 4,919,505 | 3.9 |
| ..$15,000 to $24,999 | E054 | 11,563 | 4.1 | 9,567,549 | 7.5 |
| ..$25,000 to $34,999 | E055 | 16,643 | 5.9 | 9,969,826 | 7.8 |
| ..$35,000 to $49,999 | E056 | 25,054 | 8.8 | 14,364,338 | 11.3 |
| ..$50,000 to $74,999 | E057 | 43,823 | 15.5 | 21,443,341 | 16.8 |
| ..$75,000 to $99,999 | E058 | 34,613 | 12.2 | 16,276,811 | 12.8 |
| ..$100,000 to $149,999 | E059 | 57,560 | 20.3 | 20,741,047 | 16.3 |
| ..$150,000 to $199,999 | E060 | 34,475 | 12.2 | 10,096,604 | 7.9 |
| ..$200,000 or more | E061 | 44,627 | 15.7 | 12,476,432 | 9.8 |
| ..Median household income (dollars) | E062 | 96,468 | 69,717 | ||
| ..Mean household income (dollars) | E063 | 123,346 | 97,962 | ||
| ..With earnings | E064 | 241,485 | 85.2 | 98,177,629 | 77.0 |
| ...Mean earnings (dollars) | E065 | 123,004 | 99,688 | ||
| ..With Social Security | E066 | 66,911 | 23.6 | 39,741,545 | 31.2 |
| ...Mean Social Security income (dollars) | E067 | 21,738 | 21,152 | ||
| ..With retirement income | E068 | 52,657 | 18.6 | 30,669,175 | 24.0 |
| ...Mean retirement income (dollars) | E069 | 30,831 | 29,628 | ||
| ..With Supplemental Security Income | E070 | 9,399 | 3.3 | 6,588,644 | 5.2 |
| ...Mean Supplemental Security Income (dollars) | E071 | 10,815 | 10,230 | ||
| ..With cash public assistance income | E072 | 10,485 | 3.7 | 4,282,321 | 3.4 |
| ...Mean cash public assistance income (dollars) | E073 | 7,287 | 5,240 | ||
| ..With Food Stamp/SNAP benefits in the past 12 months | E074 | 19,395 | 6.8 | 15,838,862 | 12.4 |
| .Families | E075 | 228,694 | 100.0 | 82,464,986 | 100.0 |
| ..Less than $10,000 | E076 | 5,612 | 2.5 | 3,056,415 | 3.7 |
| ..$10,000 to $14,999 | E077 | 2,045 | 0.9 | 1,667,928 | 2.0 |
| ..$15,000 to $24,999 | E078 | 5,843 | 2.6 | 4,086,661 | 5.0 |
| ..$25,000 to $34,999 | E079 | 13,286 | 5.8 | 5,117,957 | 6.2 |
| ..$35,000 to $49,999 | E080 | 20,832 | 9.1 | 8,245,080 | 10.0 |
| ..$50,000 to $74,999 | E081 | 34,185 | 14.9 | 13,648,681 | 16.6 |
| ..$75,000 to $99,999 | E082 | 26,709 | 11.7 | 11,644,350 | 14.1 |
| ..$100,000 to $149,999 | E083 | 48,498 | 21.2 | 16,152,982 | 19.6 |
| ..$150,000 to $199,999 | E084 | 29,898 | 13.1 | 8,285,960 | 10.0 |
| ..$200,000 or more | E085 | 41,786 | 18.3 | 10,558,972 | 12.8 |
| ..Median family income (dollars) | E086 | 104,002 | 85,806 | ||
| ..Mean family income (dollars) | E087 | 132,826 | 115,522 | ||
| .Per capita income (dollars) | E088 | 40,298 | 38,332 | ||
| .Nonfamily households | E089 | 54,752 | 100.0 | 45,079,744 | 100.0 |
| ..Median nonfamily income (dollars) | E090 | 60,362 | 41,549 | ||
| ..Mean nonfamily income (dollars) | E091 | 76,125 | 61,091 | ||
| .Median earnings for workers (dollars) | E092 | 46,682 | 40,260 | ||
| .Median earnings for male full-time, year-round workers (dollars) | E093 | 74,770 | 60,428 | ||
| .Median earnings for female full-time, year-round workers (dollars) | E094 | 51,476 | 49,263 | ||
| HEALTH INSURANCE COVERAGE | |||||
| .Civilian noninstitutionalized population | E095 | 853,228 | 100.0 | 326,912,547 | 100.0 |
| ..With health insurance coverage | E096 | 746,830 | 87.5 | 298,685,665 | 91.4 |
| ...With private health insurance | E097 | 625,171 | 73.3 | 219,074,507 | 67.0 |
| ...With public coverage | E098 | 190,584 | 22.3 | 120,198,470 | 36.8 |
| ..No health insurance coverage | E099 | 106,398 | 12.5 | 28,226,882 | 8.6 |
| .Civilian noninstitutionalized population under 19 years | E100 | 241,585 | 100.0 | 77,830,503 | 100.0 |
| ..No health insurance coverage | E101 | 26,097 | 10.8 | 4,164,688 | 5.4 |
| .Civilian noninstitutionalized population 19 to 64 years | E102 | 508,675 | 100.0 | 194,340,102 | 100.0 |
| ..In labor force: | E103 | 397,652 | 100.0 | 152,120,273 | 100.0 |
| ...Employed: | E104 | 374,577 | 100.0 | 142,779,946 | 100.0 |
| ....With health insurance coverage | E105 | 326,500 | 87.2 | 127,829,928 | 89.5 |
| .....With private health insurance | E106 | 316,976 | 84.6 | 116,136,040 | 81.3 |
| .....With public coverage | E107 | 19,669 | 5.3 | 16,087,515 | 11.3 |
| ....No health insurance coverage | E108 | 48,077 | 12.8 | 14,950,018 | 10.5 |
| ...Unemployed: | E109 | 23,075 | 100.0 | 9,340,327 | 100.0 |
| ....With health insurance coverage | E110 | 16,955 | 73.5 | 7,048,775 | 75.5 |
| .....With private health insurance | E111 | 15,890 | 68.9 | 3,867,469 | 41.4 |
| .....With public coverage | E112 | 2,297 | 10.0 | 3,523,835 | 37.7 |
| ....No health insurance coverage | E113 | 6,120 | 26.5 | 2,291,552 | 24.5 |
| ..Not in labor force: | E114 | 111,023 | 100.0 | 42,219,829 | 100.0 |
| ...With health insurance coverage | E115 | 86,885 | 78.3 | 35,844,186 | 84.9 |
| ....With private health insurance | E116 | 70,775 | 63.7 | 21,241,038 | 50.3 |
| ....With public coverage | E117 | 19,983 | 18.0 | 17,509,893 | 41.5 |
| ...No health insurance coverage | E118 | 24,138 | 21.7 | 6,375,643 | 15.1 |
| PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL | |||||
| .All families | E119 | 5.6 | 9.1 | ||
| ..With related children of the householder under 18 years | E120 | 6.6 | 14.1 | ||
| ...With related children of the householder under 5 years only | E121 | 14.3 | 13.0 | ||
| ..Married couple families | E122 | 4.6 | 4.7 | ||
| ...With related children of the householder under 18 years | E123 | 5.2 | 6.2 | ||
| ....With related children of the householder under 5 years only | E124 | 11.3 | 4.8 | ||
| ..Families with female householder, no spouse present | E125 | 11.8 | 24.4 | ||
| ...With related children of the householder under 18 years | E126 | 18.0 | 33.7 | ||
| ....With related children of the householder under 5 years only | E127 | 63.8 | 37.9 | ||
| .All people | E128 | 6.8 | 12.8 | ||
| ..Under 18 years | E129 | 7.5 | 16.9 | ||
| ...Related children of the householder under 18 years | E130 | 7.4 | 16.6 | ||
| ....Related children of the householder under 5 years | E131 | 11.0 | 18.3 | ||
| ....Related children of the householder 5 to 17 years | E132 | 6.3 | 16.1 | ||
| ..18 years and over | E133 | 6.5 | 11.6 | ||
| ...18 to 64 years | E134 | 5.9 | 11.9 | ||
| ...65 years and over | E135 | 9.3 | 10.3 | ||
| ..People in families | E136 | 5.7 | 10.0 | ||
| ..Unrelated individuals 15 years and over | E137 | 17.1 | 24.0 |
| Units in Structure | Jan-20 | Feb-20 | Mar-20 | Apr-20 | May-20 | Jun-20 | Jul-20 | Aug-20 | Sep-20 | Oct-20 | Nov-20 | Dec-20 |
| Single Family, Buildings | 925 | 809 | 989 | 739 | 533 | 897 | 1,036 | 1,038 | 924 | 923 | 786 | 1,044 |
| Single Family, Units | 925 | 809 | 989 | 739 | 533 | 897 | 1,036 | 1,038 | 924 | 923 | 786 | 1,044 |
| Single Family, Value | 85,198 | 65,328 | 86,699 | 62,885 | 125,001 | 79,636 | 92,941 | 94,798 | 65,626 | 80,723 | 69,126 | 110,024 |
| 2 Unit, Buildings | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 2 Unit, Units | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 2 Unit, Value | 0 | 0 | 0 | 0 | 247 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3-4 Unit, Buildings | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3-4 Unit, Units | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3-4 Unit, Value | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 5+ Unit, Buildings | 1 | 1 | 1 | 6 | 8 | 8 | 7 | 8 | 6 | 6 | 8 | 14 |
| 5+ Unit, Units | 7 | 5 | 6 | 164 | 172 | 182 | 176 | 172 | 171 | 142 | 163 | 492 |
| 5+ Unit, Value | 548 | 391 | 470 | 18,408 | 20,615 | 20,429 | 19,755 | 19,306 | 19,194 | 17,020 | 19,537 | 58,970 |
| Units in Structure | Jan-21 | Feb-21 | Mar-21 | Apr-21 | May-21 | Jun-21 | Jul-21 | Aug-21 | Sep-21 | Oct-21 | Nov-21 | Dec-21 |
| Single Family, Buildings | 1,029 | 552 | 947 | 1,068 | 764 | 772 | 689 | 852 | 740 | 847 | 854 | 653 |
| Single Family, Units | 1,029 | 552 | 947 | 1,068 | 764 | 772 | 689 | 852 | 740 | 847 | 854 | 653 |
| Single Family, Value | 240,969 | 133,651 | 227,427 | 255,755 | 184,285 | 186,371 | 166,304 | 205,307 | 178,123 | 203,718 | 205,271 | 157,416 |
| 2 Unit, Buildings | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 2 Unit, Units | 0 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 |
| 2 Unit, Value | 0 | 247 | 0 | 0 | 0 | 0 | 257 | 0 | 0 | 0 | 0 | 0 |
| 3-4 Unit, Buildings | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3-4 Unit, Units | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3-4 Unit, Value | 0 | 0 | 0 | 405 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 5+ Unit, Buildings | 8 | 0 | 0 | 2 | 1 | 1 | 7 | 12 | 3 | 1 | 1 | 1 |
| 5+ Unit, Units | 195 | 0 | 0 | 46 | 19 | 25 | 153 | 382 | 359 | 22 | 25 | 27 |
| 5+ Unit, Value | 23,372 | 0 | 0 | 5,513 | 2,277 | 2,996 | 18,960 | 47,424 | 44,606 | 2,637 | 2,996 | 3,236 |
| Units in Structure | Jan-22 | Feb-22 | Mar-22 | Apr-22 | May-22 | Jun-22 | Jul-22 | Aug-22 | Sep-22 | Oct-22 | Nov-22 | Dec-22 |
| Single Family, Buildings | 881 | 958 | 970 | 1,243 | 956 | 709 | 376 | 743 | 0 | 0 | 0 | 0 |
| Single Family, Units | 881 | 958 | 970 | 1,243 | 956 | 709 | 376 | 743 | 0 | 0 | 0 | 0 |
| Single Family, Value | 212,073 | 230,265 | 233,314 | 318,664 | 244,138 | 181,934 | 95,607 | 190,571 | 0 | 0 | 0 | 0 |
| 2 Unit, Buildings | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 2 Unit, Units | 0 | 0 | 4 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 |
| 2 Unit, Value | 0 | 0 | 514 | 0 | 0 | 0 | 260 | 0 | 0 | 0 | 0 | 0 |
| 3-4 Unit, Buildings | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3-4 Unit, Units | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3-4 Unit, Value | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 5+ Unit, Buildings | 2 | 1 | 1 | 9 | 11 | 30 | 18 | 12 | 0 | 0 | 0 | 0 |
| 5+ Unit, Units | 29 | 23 | 31 | 294 | 302 | 501 | 634 | 372 | 0 | 0 | 0 | 0 |
| 5+ Unit, Value | 3,476 | 2,757 | 3,716 | 37,510 | 38,531 | 63,921 | 80,890 | 47,462 | 0 | 0 | 0 | 0 |
| Units in Structure | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 |
| Single Family, Buildings | 9,096 | 9,777 | 7,711 | 8,949 | 8,452 | 11,403 | 9,938 |
| Single Family, Units | 9,096 | 9,777 | 7,711 | 8,949 | 8,452 | 11,403 | 9,938 |
| Single Family, Value | 1,099,151 | 1,278,723 | 1,525,884 | 716,578 | 629,267 | 267,864 | 238,061 |
| 2 Unit, Buildings | 6 | 10 | 24 | 1 | 0 | 0 | 3 |
| 2 Unit, Units | 12 | 20 | 48 | 2 | 0 | 0 | 6 |
| 2 Unit, Value | 1,684 | 2,884 | 4,996 | 184 | 0 | 0 | 761 |
| 3-4 Unit, Buildings | 4 | 0 | 3 | 0 | 0 | 0 | 1 |
| 3-4 Unit, Units | 12 | 0 | 9 | 0 | 0 | 0 | 3 |
| 3-4 Unit, Value | 1,750 | 0 | 837 | 0 | 0 | 0 | 405 |
| 5+ Unit, Buildings | 16 | 30 | 4 | 12 | 86 | 68 | 18 |
| 5+ Unit, Units | 158 | 482 | 34 | 72 | 2,306 | 2,690 | 815 |
| 5+ Unit, Value | 11,230 | 42,034 | 2,661 | 5,635 | 258,837 | 322,416 | 101,521 |
| HOUSING CHARACTERISTICS (DP4) | ItemCode | County Estimate | County Percent | U.S. Estimate | U.S. Percent |
| HOUSING OCCUPANCY | |||||
| .Total housing units | H001 | 294,827 | 100.0 | 142,148,050 | 100.0 |
| ..Occupied housing units | H002 | 283,446 | 96.1 | 127,544,730 | 89.7 |
| ..Vacant housing units | H003 | 11,381 | 3.9 | 14,603,320 | 10.3 |
| ..Homeowner vacancy rate | H004 | 0.90 | 0.90 | ||
| ..Rental vacancy rate | H005 | 6.90 | 5.20 | ||
| UNITS IN STRUCTURE | |||||
| .Total housing units | H006 | 294,827 | 100.0 | 142,148,050 | 100.0 |
| ..1-unit, detached | H007 | 241,724 | 82.0 | 87,804,068 | 61.8 |
| ..1-unit, attached | H008 | 6,883 | 2.3 | 8,823,839 | 6.2 |
| ..2 units | H009 | 2,257 | 0.8 | 4,698,934 | 3.3 |
| ..3 or 4 units | H010 | 6,518 | 2.2 | 6,069,239 | 4.3 |
| ..5 to 9 units | H011 | 4,194 | 1.4 | 6,379,448 | 4.5 |
| ..10 to 19 units | H012 | 7,394 | 2.5 | 5,996,065 | 4.2 |
| ..20 or more units | H013 | 15,254 | 5.2 | 14,201,780 | 10.0 |
| ..Mobile home | H014 | 10,361 | 3.5 | 8,008,783 | 5.6 |
| ..Boat, RV, van, etc. | H015 | 242 | 0.1 | 165,894 | 0.1 |
| YEAR STRUCTURE BUILT | |||||
| .Total housing units | H016 | 294,827 | 100.0 | 142,148,050 | 100.0 |
| ..Built 2014 or later | H017 | 7,028 | 2.4 | 1,073,629 | 0.8 |
| ..Built 2010 to 2013 | H018 | 101,502 | 34.4 | 13,632,007 | 9.6 |
| ..Built 2000 to 2009 | H019 | 67,948 | 23.0 | 19,697,259 | 13.9 |
| ..Built 1990 to 1999 | H020 | 41,726 | 14.2 | 17,452,834 | 12.3 |
| ..Built 1980 to 1989 | H021 | 38,867 | 13.2 | 18,532,262 | 13.0 |
| ..Built 1970 to 1979 | H022 | 26,612 | 9.0 | 20,442,202 | 14.4 |
| ..Built 1960 to 1969 | H023 | 4,982 | 1.7 | 14,202,613 | 10.0 |
| ..Built 1950 to 1959 | H024 | 2,382 | 0.8 | 13,738,856 | 9.7 |
| ..Built 1940 to 1949 | H025 | 1,514 | 0.5 | 6,474,803 | 4.6 |
| ..Built 1939 or earlier | H026 | 2,266 | 0.8 | 16,901,585 | 11.9 |
| ROOMS | |||||
| .Total housing units | H027 | 294,827 | 100.0 | 142,148,050 | 100.0 |
| ..1 room | H028 | 5,675 | 1.9 | 3,589,031 | 2.5 |
| ..2 rooms | H029 | 2,622 | 0.9 | 4,350,654 | 3.1 |
| ..3 rooms | H030 | 15,923 | 5.4 | 12,820,515 | 9.0 |
| ..4 rooms | H031 | 27,327 | 9.3 | 22,251,103 | 15.7 |
| ..5 rooms | H032 | 44,802 | 15.2 | 26,439,561 | 18.6 |
| ..6 rooms | H033 | 46,433 | 15.7 | 24,927,199 | 17.5 |
| ..7 rooms | H034 | 47,147 | 16.0 | 17,046,581 | 12.0 |
| ..8 rooms | H035 | 43,595 | 14.8 | 12,894,229 | 9.1 |
| ..9 rooms or more | H036 | 61,303 | 20.8 | 17,829,177 | 12.5 |
| ..Median rooms | H037 | 6.6 | 5.6 | ||
| BEDROOMS | |||||
| .Total housing units | H038 | 294,827 | 100.0 | 142,148,050 | 100.0 |
| ..No bedroom | H039 | 5,768 | 2.0 | 3,959,211 | 2.8 |
| ..1 bedroom | H040 | 12,746 | 4.3 | 15,384,897 | 10.8 |
| ..2 bedrooms | H041 | 31,437 | 10.7 | 35,600,388 | 25.0 |
| ..3 bedrooms | H042 | 93,848 | 31.8 | 55,386,244 | 39.0 |
| ..4 bedrooms | H043 | 117,667 | 39.9 | 24,894,730 | 17.5 |
| ..5 or more bedrooms | H044 | 33,361 | 11.3 | 6,922,580 | 4.9 |
| HOUSING TENURE | |||||
| .Occupied housing units | H045 | 283,446 | 100.0 | 127,544,730 | 100.0 |
| ..Owner-occupied | H046 | 222,933 | 78.7 | 83,396,988 | 65.4 |
| ..Renter-occupied | H047 | 60,513 | 21.3 | 44,147,742 | 34.6 |
| ..Average household size of owner-occupied unit | H048 | 3.07 | 2.65 | ||
| ..Average household size of renter-occupied unit | H049 | 2.78 | 2.33 | ||
| YEAR HOUSEHOLDER MOVED INTO UNIT | |||||
| .Occupied housing units | H050 | 283,446 | 100.0 | 127,544,730 | 100.0 |
| ..Moved in 2017 or later | H051 | 88,394 | 31.2 | 34,784,732 | 27.3 |
| ..Moved in 2015 to 2016 | H052 | 71,738 | 25.3 | 28,234,034 | 22.1 |
| ..Moved in 2010 to 2014 | H053 | 38,022 | 13.4 | 16,462,478 | 12.9 |
| ..Moved in 2000 to 2009 | H054 | 53,095 | 18.7 | 22,180,943 | 17.4 |
| ..Moved in 1990 to 1999 | H055 | 21,381 | 7.5 | 12,938,673 | 10.1 |
| ..Moved in 1989 and earlier | H056 | 10,816 | 3.8 | 12,943,870 | 10.1 |
| VEHICLES AVAILABLE | |||||
| .Occupied housing units | H057 | 283,446 | 100.0 | 127,544,730 | 100.0 |
| ..No vehicles available | H058 | 9,789 | 3.5 | 10,263,494 | 8.0 |
| ..1 vehicle available | H059 | 62,519 | 22.1 | 41,959,133 | 32.9 |
| ..2 vehicles available | H060 | 136,153 | 48.0 | 47,337,486 | 37.1 |
| ..3 or more vehicles available | H061 | 74,985 | 26.5 | 27,984,617 | 21.9 |
| HOUSE HEATING FUEL | |||||
| .Occupied housing units | H062 | 283,446 | 100.0 | 127,544,730 | 100.0 |
| ..Utility gas | H063 | 170,094 | 60.0 | 59,246,257 | 46.5 |
| ..Bottled, tank, or LP gas | H064 | 8,019 | 2.8 | 6,326,791 | 5.0 |
| ..Electricity | H065 | 102,395 | 36.1 | 52,279,174 | 41.0 |
| ..Fuel oil, kerosene, etc. | H066 | 424 | 0.1 | 5,218,757 | 4.1 |
| ..Coal or coke | H067 | 432 | 0.2 | 95,160 | 0.1 |
| ..Wood | H068 | 75 | 0.0 | 1,792,240 | 1.4 |
| ..Solar energy | H069 | 1,101 | 0.4 | 362,346 | 0.3 |
| ..Other fuel | H070 | 398 | 0.1 | 640,525 | 0.5 |
| ..No fuel used | H071 | 508 | 0.2 | 1,583,480 | 1.2 |
| SELECTED CHARACTERISTICS | |||||
| .Occupied housing units | H072 | 283,446 | 100.0 | 127,544,730 | 100.0 |
| ..Lacking complete plumbing facilities | H073 | 79 | 0.0 | 522,752 | 0.4 |
| ..Lacking complete kitchen facilities | H074 | 516 | 0.2 | 1,027,179 | 0.8 |
| ..No telephone service available | H075 | 2,051 | 0.7 | 1,152,803 | 0.9 |
| OCCUPANTS PER ROOM | |||||
| .Occupied housing units | H076 | 283,446 | 100.0 | 127,544,730 | 100.0 |
| ..1.00 or less | H077 | 271,769 | 95.9 | 123,222,676 | 96.6 |
| ..1.01 to 1.50 | H078 | 6,707 | 2.4 | 2,811,853 | 2.2 |
| ..1.51 or more | H079 | 4,970 | 1.8 | 1,510,201 | 1.2 |
| VALUE | |||||
| .Owner-occupied units | H080 | 222,933 | 100.0 | 83,396,988 | 100.0 |
| ..Less than $50,000 | H081 | 6,373 | 2.9 | 5,012,399 | 6.0 |
| ..$50,000 to $99,999 | H082 | 5,023 | 2.3 | 6,591,730 | 7.9 |
| ..$100,000 to $149,999 | H083 | 8,458 | 3.8 | 7,393,172 | 8.9 |
| ..$150,000 to $199,999 | H084 | 21,507 | 9.6 | 9,312,599 | 11.2 |
| ..$200,000 to $299,999 | H085 | 58,857 | 26.4 | 16,283,130 | 19.5 |
| ..$300,000 to $499,999 | H086 | 92,171 | 41.3 | 20,456,170 | 24.5 |
| ..$500,000 to $999,999 | H087 | 27,097 | 12.2 | 14,149,578 | 17.0 |
| ..$1,000,000 or more | H088 | 3,447 | 1.5 | 4,198,210 | 5.0 |
| ..Median (dollars) | H089 | 319,000 | 281,400 | ||
| MORTGAGE STATUS | |||||
| .Owner-occupied units | H090 | 222,933 | 100.0 | 83,396,988 | 100.0 |
| ..Housing units with a mortgage | H091 | 149,608 | 67.1 | 51,114,260 | 61.3 |
| ..Housing units without a mortgage | H092 | 73,325 | 32.9 | 32,282,728 | 38.7 |
| SELECTED MONTHLY OWNER COSTS (SMOC) | |||||
| .Housing units with a mortgage | H093 | 149,608 | 100.0 | 51,114,260 | 100.0 |
| ..Less than $500 | H094 | 375 | 0.3 | 610,377 | 1.2 |
| ..$500 to $999 | H095 | 4,496 | 3.0 | 7,554,733 | 14.8 |
| ..$1,000 to $1,499 | H096 | 17,987 | 12.0 | 13,171,613 | 25.8 |
| ..$1,500 to $1,999 | H097 | 38,204 | 25.5 | 11,146,103 | 21.8 |
| ..$2,000 to $2,499 | H098 | 35,029 | 23.4 | 7,205,428 | 14.1 |
| ..$2,500 to $2,999 | H099 | 22,836 | 15.3 | 4,377,761 | 8.6 |
| ..$3,000 or more | H100 | 30,681 | 20.5 | 7,048,245 | 13.8 |
| ..Median (dollars) | H101 | 2,196 | 1,672 | ||
| .Housing units without a mortgage | H102 | 73,325 | 100.0 | 32,282,728 | 100.0 |
| ..Less than $250 | H103 | 4,324 | 5.9 | 3,275,543 | 10.1 |
| ..$250 to $399 | H104 | 5,152 | 7.0 | 6,595,521 | 20.4 |
| ..$400 to $599 | H105 | 13,060 | 17.8 | 8,756,466 | 27.1 |
| ..$600 to $799 | H106 | 13,535 | 18.5 | 5,686,328 | 17.6 |
| ..$800 to $999 | H107 | 11,979 | 16.3 | 3,229,527 | 10.0 |
| ..$1,000 or more | H108 | 25,275 | 34.5 | 4,739,343 | 14.7 |
| ..Median (dollars) | H109 | 808 | 539 | ||
| SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI) | |||||
| .Housing units with a mortgage (excluding units where SMOCAPI cannot be computed) | H110 | 148,989 | 100.0 | 50,836,661 | 100.0 |
| ..Less than 20.0 percent | H111 | 62,655 | 42.1 | 24,183,280 | 47.6 |
| ..20.0 to 24.9 percent | H112 | 20,914 | 14.0 | 7,621,860 | 15.0 |
| ..25.0 to 29.9 percent | H113 | 19,980 | 13.4 | 5,016,096 | 9.9 |
| ..30.0 to 34.9 percent | H114 | 7,799 | 5.2 | 3,332,250 | 6.6 |
| ..35.0 percent or more | H115 | 37,641 | 25.3 | 10,683,175 | 21.0 |
| ..Not computed | H116 | 619 | -1.0 | 277,599 | -1.0 |
| .Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed) | H117 | 72,791 | 100.0 | 31,799,186 | 100.0 |
| ..Less than 10.0 percent | H118 | 32,130 | 44.1 | 14,658,010 | 46.1 |
| ..10.0 to 14.9 percent | H119 | 13,234 | 18.2 | 6,068,100 | 19.1 |
| ..15.0 to 19.9 percent | H120 | 8,218 | 11.3 | 3,345,349 | 10.5 |
| ..20.0 to 24.9 percent | H121 | 5,652 | 7.8 | 2,022,803 | 6.4 |
| ..25.0 to 29.9 percent | H122 | 3,142 | 4.3 | 1,293,336 | 4.1 |
| ..30.0 to 34.9 percent | H123 | 2,466 | 3.4 | 882,995 | 2.8 |
| ..35.0 percent or more | H124 | 7,949 | 10.9 | 3,528,593 | 11.1 |
| ..Not computed | H125 | 534 | -1.0 | 483,542 | -1.0 |
| GROSS RENT | |||||
| .Occupied units paying rent | H126 | -1 | 41,991,861 | ||
| ..Less than $500 | H127 | -1 | 3,320,529 | ||
| ..$500 to $999 | H128 | -1 | 12,202,521 | ||
| ..$1,000 to $1,499 | H129 | -1 | 12,853,108 | ||
| ..$1,500 to $1,999 | H130 | -1 | 7,483,407 | ||
| ..$2,000 to $2,499 | H131 | -1 | 3,236,958 | ||
| ..$2,500 to $2,999 | H132 | -1 | 1,310,696 | ||
| ..$3,000 or more | H133 | -1 | 1,584,642 | ||
| ..Median (dollars) | H134 | 1,490 | 1,191 | ||
| ..No rent paid | H135 | -1 | 2,155,881 | ||
| GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI) | |||||
| .Occupied units paying rent (excluding units where GRAPI cannot be computed) | H136 | 54,529 | 100.0 | 40,979,329 | 100.0 |
| ..Less than 15.0 percent | H137 | 5,247 | 9.6 | 5,229,582 | 12.8 |
| ..15.0 to 19.9 percent | H138 | 6,449 | 11.8 | 5,001,591 | 12.2 |
| ..20.0 to 24.9 percent | H139 | 9,028 | 16.6 | 5,122,898 | 12.5 |
| ..25.0 to 29.9 percent | H140 | 6,431 | 11.8 | 4,703,786 | 11.5 |
| ..30.0 to 34.9 percent | H141 | 5,283 | 9.7 | 3,737,862 | 9.1 |
| ..35.0 percent or more | H142 | 22,091 | 40.5 | 17,183,610 | 41.9 |
| ..Not computed | H143 | 5,984 | -1.0 | 3,168,413 | -1.0 |
| Industry | NAICS | Owner | Estabs | Estabs% | Emp | Emp% | Wages | Wages% | AWW |
| Total, all owners | 10 | 0 | 17,326 | 100.0 | 225,046 | 100.0 | 3,210,676,369 | 100.0 | 1,097 |
| Total, Federal | 10 | 1 | 30 | 0.2 | 1,027 | 0.5 | 21,079,346 | 0.7 | 1,579 |
| Total, State | 10 | 2 | 29 | 0.2 | 2,637 | 1.2 | 36,969,846 | 1.2 | 1,078 |
| Total, Local | 10 | 3 | 90 | 0.5 | 38,496 | 17.1 | 498,904,737 | 15.5 | 997 |
| Total, Private | 10 | 5 | 17,177 | 99.1 | 182,886 | 81.3 | 2,653,722,440 | 82.7 | 1,116 |
| Agriculture, forestry, fishing and hunting | 11 | 5 | 76 | 0.4 | 274 | 0.1 | 2,465,375 | 0.1 | 693 |
| Crop production | 111 | 5 | 30 | 0.2 | 192 | 0.1 | 1,689,414 | 0.1 | 677 |
| Animal production | 112 | 5 | 32 | 0.2 | 52 | 0.0 | 530,796 | 0.0 | 785 |
| Forestry and logging | 113 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Fishing, hunting and trapping | 114 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Agriculture and forestry support activities | 115 | 5 | 12 | 0.1 | 29 | 0.0 | 230,765 | 0.0 | 619 |
| Mining | 21 | 5 | 114 | 0.7 | 2,445 | 1.1 | 132,643,735 | 4.1 | 4,174 |
| Oil and gas extraction | 211 | 5 | 26 | 0.2 | 123 | 0.1 | 7,650,945 | 0.2 | 4,772 |
| Mining, except oil and gas | 212 | 5 | 8 | 0.0 | 81 | 0.0 | 1,584,577 | 0.0 | 1,505 |
| Support activities for mining | 213 | 5 | 80 | 0.5 | 2,240 | 1.0 | 123,408,213 | 3.8 | 4,237 |
| Utilities | 22 | 3 | 11 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
| Utilities | 22 | 5 | 30 | 0.2 | 952 | 0.4 | 31,618,565 | 1.0 | 2,556 |
| Utilities | 221 | 3 | 11 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
| Utilities | 221 | 5 | 30 | 0.2 | 952 | 0.4 | 31,618,565 | 1.0 | 2,556 |
| Construction | 23 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Construction | 23 | 3 | 4 | 0.0 | 310 | 0.1 | 4,059,261 | 0.1 | 1,007 |
| Construction | 23 | 5 | 1,062 | 6.1 | 10,864 | 4.8 | 281,390,531 | 8.8 | 1,992 |
| Construction of buildings | 236 | 5 | 351 | 2.0 | 1,838 | 0.8 | 56,993,910 | 1.8 | 2,385 |
| Heavy and civil engineering construction | 237 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Heavy and civil engineering construction | 237 | 3 | 4 | 0.0 | 310 | 0.1 | 4,059,261 | 0.1 | 1,007 |
| Heavy and civil engineering construction | 237 | 5 | 100 | 0.6 | 3,358 | 1.5 | 134,255,150 | 4.2 | 3,075 |
| Specialty trade contractors | 238 | 5 | 611 | 3.5 | 5,667 | 2.5 | 90,141,471 | 2.8 | 1,223 |
| Manufacturing | 31-33 | 5 | 487 | 2.8 | 13,686 | 6.1 | 283,050,200 | 8.8 | 1,591 |
| Food manufacturing | 311 | 5 | 30 | 0.2 | 2,211 | 1.0 | 34,924,539 | 1.1 | 1,215 |
| Beverage and tobacco product manufacturing | 312 | 5 | 10 | 0.1 | 174 | 0.1 | 3,250,639 | 0.1 | 1,434 |
| Textile mills | 313 | 5 | 3 | 0.0 | 13 | 0.0 | 138,541 | 0.0 | 799 |
| Textile product mills | 314 | 5 | 9 | 0.1 | 28 | 0.0 | 246,721 | 0.0 | 670 |
| Apparel manufacturing | 315 | 5 | 7 | 0.0 | 45 | 0.0 | 302,395 | 0.0 | 521 |
| Wood product manufacturing | 321 | 5 | 10 | 0.1 | 71 | 0.0 | 759,466 | 0.0 | 819 |
| Paper manufacturing | 322 | 5 | 2 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Printing and related support activities | 323 | 5 | 32 | 0.2 | 779 | 0.3 | 12,139,357 | 0.4 | 1,199 |
| Petroleum and coal products manufacturing | 324 | 5 | 4 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Chemical manufacturing | 325 | 5 | 31 | 0.2 | 1,759 | 0.8 | 40,681,707 | 1.3 | 1,779 |
| Plastics and rubber products manufacturing | 326 | 5 | 15 | 0.1 | 1,141 | 0.5 | 12,956,939 | 0.4 | 874 |
| Nonmetallic mineral product manufacturing | 327 | 5 | 23 | 0.1 | 585 | 0.3 | 8,426,043 | 0.3 | 1,107 |
| Primary metal manufacturing | 331 | 5 | 6 | 0.0 | 44 | 0.0 | 573,960 | 0.0 | 1,011 |
| Fabricated metal product manufacturing | 332 | 5 | 77 | 0.4 | 1,962 | 0.9 | 36,585,468 | 1.1 | 1,434 |
| Machinery manufacturing | 333 | 5 | 58 | 0.3 | 1,776 | 0.8 | 71,155,206 | 2.2 | 3,082 |
| Computer and electronic product manufacturing | 334 | 5 | 62 | 0.4 | 1,504 | 0.7 | 31,811,959 | 1.0 | 1,627 |
| Electrical equipment and appliance manufacturing | 335 | 5 | 18 | 0.1 | 476 | 0.2 | 14,379,496 | 0.4 | 2,324 |
| Transportation equipment manufacturing | 336 | 5 | 11 | 0.1 | 54 | 0.0 | 728,979 | 0.0 | 1,038 |
| Furniture and related product manufacturing | 337 | 5 | 23 | 0.1 | 583 | 0.3 | 7,210,289 | 0.2 | 951 |
| Miscellaneous manufacturing | 339 | 5 | 56 | 0.3 | 447 | 0.2 | 5,931,758 | 0.2 | 1,022 |
| Wholesale trade | 42 | 5 | 1,043 | 6.0 | 8,220 | 3.7 | 178,206,386 | 5.6 | 1,668 |
| Merchant wholesalers, durable goods | 423 | 5 | 571 | 3.3 | 5,291 | 2.4 | 113,050,362 | 3.5 | 1,643 |
| Merchant wholesalers, nondurable goods | 424 | 5 | 240 | 1.4 | 2,065 | 0.9 | 39,365,307 | 1.2 | 1,466 |
| Electronic markets and agents and brokers | 425 | 5 | 232 | 1.3 | 864 | 0.4 | 25,790,717 | 0.8 | 2,297 |
| Retail trade | 44-45 | 5 | 2,109 | 12.2 | 33,588 | 14.9 | 323,883,890 | 10.1 | 742 |
| Motor vehicle and parts dealers | 441 | 5 | 163 | 0.9 | 4,336 | 1.9 | 73,526,428 | 2.3 | 1,304 |
| Building material and garden supply stores | 444 | 5 | 85 | 0.5 | 2,701 | 1.2 | 36,397,493 | 1.1 | 1,037 |
| Food and beverage stores | 445 | 5 | 363 | 2.1 | 8,052 | 3.6 | 59,659,276 | 1.9 | 570 |
| Food and beverage stores | 449 | 5 | 217 | 1.3 | 2,959 | 1.3 | 32,164,880 | 1.0 | 836 |
| Food and beverage stores | 455 | 5 | 108 | 0.6 | 5,946 | 2.6 | 46,650,049 | 1.5 | 604 |
| Food and beverage stores | 456 | 5 | 278 | 1.6 | 2,333 | 1.0 | 24,835,678 | 0.8 | 819 |
| Food and beverage stores | 457 | 5 | 288 | 1.7 | 1,760 | 0.8 | 13,612,445 | 0.4 | 595 |
| Food and beverage stores | 458 | 5 | 262 | 1.5 | 2,590 | 1.2 | 13,354,467 | 0.4 | 397 |
| Food and beverage stores | 459 | 5 | 345 | 2.0 | 2,911 | 1.3 | 23,683,174 | 0.7 | 626 |
| Transportation and warehousing | 48-49 | 1 | 15 | 0.1 | 616 | 0.3 | 9,489,220 | 0.3 | 1,185 |
| Transportation and warehousing | 48-49 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Transportation and warehousing | 48-49 | 5 | 468 | 2.7 | 10,296 | 4.6 | 105,620,094 | 3.3 | 789 |
| Air transportation | 481 | 5 | 10 | 0.1 | 42 | 0.0 | 771,329 | 0.0 | 1,402 |
| Water transportation | 483 | 5 | 3 | 0.0 | 10 | 0.0 | 128,429 | 0.0 | 988 |
| Truck transportation | 484 | 5 | 244 | 1.4 | 640 | 0.3 | 9,700,742 | 0.3 | 1,167 |
| Transit and ground passenger transportation | 485 | 5 | 12 | 0.1 | 182 | 0.1 | 1,391,179 | 0.0 | 589 |
| Pipeline transportation | 486 | 5 | 8 | 0.0 | 95 | 0.0 | 3,272,500 | 0.1 | 2,659 |
| Scenic and sightseeing transportation | 487 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Support activities for transportation | 488 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Support activities for transportation | 488 | 5 | 112 | 0.6 | 865 | 0.4 | 11,790,090 | 0.4 | 1,049 |
| Postal service | 491 | 1 | 15 | 0.1 | 616 | 0.3 | 9,489,220 | 0.3 | 1,185 |
| Postal service | 491 | 5 | 9 | 0.1 | 139 | 0.1 | 1,010,120 | 0.0 | 560 |
| Couriers and messengers | 492 | 5 | 43 | 0.2 | 3,211 | 1.4 | 31,019,912 | 1.0 | 743 |
| Warehousing and storage | 493 | 5 | 26 | 0.2 | 0 | 0.0 | 0 | 0.0 | 0 |
| Information | 51 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Information | 51 | 5 | 228 | 1.3 | 2,577 | 1.1 | 46,158,976 | 1.4 | 1,378 |
| Motion picture and sound recording industries | 512 | 5 | 31 | 0.2 | 727 | 0.3 | 4,323,838 | 0.1 | 457 |
| Motion picture and sound recording industries | 513 | 5 | 88 | 0.5 | 705 | 0.3 | 18,512,703 | 0.6 | 2,019 |
| Internet publishing and broadcasting | 516 | 5 | 14 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
| Telecommunications | 517 | 5 | 45 | 0.3 | 732 | 0.3 | 12,921,362 | 0.4 | 1,358 |
| ISPs, search portals, and data processing | 518 | 5 | 49 | 0.3 | 338 | 0.2 | 9,399,176 | 0.3 | 2,141 |
| Other information services | 519 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Other information services | 519 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Finance and insurance | 52 | 5 | 1,028 | 5.9 | 5,261 | 2.3 | 148,022,826 | 4.6 | 2,164 |
| Monetary authorities - central bank | 521 | 5 | 2 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Credit intermediation and related activities | 522 | 5 | 345 | 2.0 | 3,008 | 1.3 | 76,854,267 | 2.4 | 1,965 |
| Securities, commodity contracts, investments | 523 | 5 | 267 | 1.5 | 727 | 0.3 | 45,420,275 | 1.4 | 4,808 |
| Insurance carriers and related activities | 524 | 5 | 402 | 2.3 | 1,498 | 0.7 | 25,318,778 | 0.8 | 1,300 |
| Funds, trusts, and other financial vehicles | 525 | 5 | 12 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
| Real estate and rental and leasing | 53 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Real estate and rental and leasing | 53 | 5 | 801 | 4.6 | 2,992 | 1.3 | 57,329,846 | 1.8 | 1,474 |
| Real estate | 531 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Real estate | 531 | 5 | 733 | 4.2 | 2,659 | 1.2 | 51,834,771 | 1.6 | 1,500 |
| Rental and leasing services | 532 | 5 | 66 | 0.4 | 0 | 0.0 | 0 | 0.0 | 0 |
| Lessors of nonfinancial intangible assets | 533 | 5 | 2 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Professional and technical services | 54 | 1 | 1 | 0.0 | 15 | 0.0 | 364,753 | 0.0 | 1,830 |
| Professional and technical services | 54 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Professional and technical services | 54 | 5 | 3,070 | 17.7 | 12,113 | 5.4 | 283,766,294 | 8.8 | 1,802 |
| Professional and technical services | 541 | 1 | 1 | 0.0 | 15 | 0.0 | 364,753 | 0.0 | 1,830 |
| Professional and technical services | 541 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Professional and technical services | 541 | 5 | 3,070 | 17.7 | 12,113 | 5.4 | 283,766,294 | 8.8 | 1,802 |
| Management of companies and enterprises | 55 | 5 | 78 | 0.5 | 1,006 | 0.4 | 29,199,277 | 0.9 | 2,233 |
| Management of companies and enterprises | 551 | 5 | 78 | 0.5 | 1,006 | 0.4 | 29,199,277 | 0.9 | 2,233 |
| Administrative and waste services | 56 | 3 | 4 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Administrative and waste services | 56 | 5 | 860 | 5.0 | 10,274 | 4.6 | 125,366,354 | 3.9 | 939 |
| Administrative and support services | 561 | 3 | 3 | 0.0 | 142 | 0.1 | 1,553,671 | 0.0 | 842 |
| Administrative and support services | 561 | 5 | 812 | 4.7 | 9,374 | 4.2 | 111,646,460 | 3.5 | 916 |
| Waste management and remediation services | 562 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Waste management and remediation services | 562 | 5 | 48 | 0.3 | 900 | 0.4 | 13,719,894 | 0.4 | 1,173 |
| Educational services | 61 | 2 | 7 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Educational services | 61 | 3 | 10 | 0.1 | 31,747 | 14.1 | 401,517,173 | 12.5 | 973 |
| Educational services | 61 | 5 | 349 | 2.0 | 3,926 | 1.7 | 31,141,258 | 1.0 | 610 |
| Educational services | 611 | 2 | 7 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Educational services | 611 | 3 | 10 | 0.1 | 31,747 | 14.1 | 401,517,173 | 12.5 | 973 |
| Educational services | 611 | 5 | 349 | 2.0 | 3,926 | 1.7 | 31,141,258 | 1.0 | 610 |
| Health care and social assistance | 62 | 2 | 4 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Health care and social assistance | 62 | 3 | 3 | 0.0 | 1,415 | 0.6 | 21,122,699 | 0.7 | 1,148 |
| Health care and social assistance | 62 | 5 | 2,427 | 14.0 | 30,433 | 13.5 | 372,327,448 | 11.6 | 941 |
| Ambulatory health care services | 621 | 2 | 2 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Ambulatory health care services | 621 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Ambulatory health care services | 621 | 5 | 1,844 | 10.6 | 17,295 | 7.7 | 229,257,769 | 7.1 | 1,020 |
| Hospitals | 622 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Hospitals | 622 | 5 | 25 | 0.1 | 5,356 | 2.4 | 88,526,131 | 2.8 | 1,271 |
| Nursing and residential care facilities | 623 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Nursing and residential care facilities | 623 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Nursing and residential care facilities | 623 | 5 | 82 | 0.5 | 2,600 | 1.2 | 23,318,331 | 0.7 | 690 |
| Social assistance | 624 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Social assistance | 624 | 5 | 476 | 2.7 | 5,181 | 2.3 | 31,225,217 | 1.0 | 464 |
| Arts, entertainment, and recreation | 71 | 3 | 4 | 0.0 | 149 | 0.1 | 1,200,314 | 0.0 | 618 |
| Arts, entertainment, and recreation | 71 | 5 | 217 | 1.3 | 2,946 | 1.3 | 17,790,047 | 0.6 | 465 |
| Performing arts and spectator sports | 711 | 5 | 50 | 0.3 | 168 | 0.1 | 1,828,089 | 0.1 | 837 |
| Museums, historical sites, zoos, and parks | 712 | 3 | 3 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Museums, historical sites, zoos, and parks | 712 | 5 | 4 | 0.0 | 52 | 0.0 | 303,921 | 0.0 | 450 |
| Amusements, gambling, and recreation | 713 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Amusements, gambling, and recreation | 713 | 5 | 163 | 0.9 | 2,726 | 1.2 | 15,658,037 | 0.5 | 442 |
| Accommodation and food services | 72 | 5 | 1,257 | 7.3 | 24,040 | 10.7 | 133,335,798 | 4.2 | 427 |
| Accommodation | 721 | 5 | 90 | 0.5 | 964 | 0.4 | 5,963,415 | 0.2 | 476 |
| Food services and drinking places | 722 | 5 | 1,167 | 6.7 | 23,076 | 10.3 | 127,372,383 | 4.0 | 425 |
| Other services, except public administration | 81 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Other services, except public administration | 81 | 5 | 1,187 | 6.9 | 6,522 | 2.9 | 63,768,355 | 2.0 | 752 |
| Repair and maintenance | 811 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Repair and maintenance | 811 | 5 | 320 | 1.8 | 2,388 | 1.1 | 29,647,631 | 0.9 | 955 |
| Personal and laundry services | 812 | 5 | 478 | 2.8 | 2,962 | 1.3 | 23,134,382 | 0.7 | 601 |
| Membership associations and organizations | 813 | 5 | 88 | 0.5 | 804 | 0.4 | 8,773,620 | 0.3 | 839 |
| Private households | 814 | 5 | 301 | 1.7 | 368 | 0.2 | 2,212,722 | 0.1 | 463 |
| Public administration | 92 | 1 | 14 | 0.1 | 396 | 0.2 | 11,225,373 | 0.3 | 2,182 |
| Public administration | 92 | 2 | 17 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
| Public administration | 92 | 3 | 49 | 0.3 | 4,223 | 1.9 | 63,350,267 | 2.0 | 1,154 |
| Executive, legislative and general government | 921 | 1 | 2 | 0.0 | 8 | 0.0 | 292,048 | 0.0 | 2,808 |
| Executive, legislative and general government | 921 | 2 | 2 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Executive, legislative and general government | 921 | 3 | 25 | 0.1 | 1,588 | 0.7 | 21,514,971 | 0.7 | 1,042 |
| Justice, public order, and safety activities | 922 | 1 | 3 | 0.0 | 284 | 0.1 | 8,772,565 | 0.3 | 2,373 |
| Justice, public order, and safety activities | 922 | 2 | 5 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Justice, public order, and safety activities | 922 | 3 | 15 | 0.1 | 2,332 | 1.0 | 37,990,955 | 1.2 | 1,253 |
| Administration of human resource programs | 923 | 2 | 4 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Administration of human resource programs | 923 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Administration of environmental programs | 924 | 1 | 2 | 0.0 | 23 | 0.0 | 438,774 | 0.0 | 1,489 |
| Administration of environmental programs | 924 | 2 | 2 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Administration of environmental programs | 924 | 3 | 3 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Community and housing program administration | 925 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Administration of economic programs | 926 | 1 | 6 | 0.0 | 77 | 0.0 | 1,593,221 | 0.0 | 1,592 |
| Administration of economic programs | 926 | 2 | 4 | 0.0 | 20 | 0.0 | 241,457 | 0.0 | 913 |
| Administration of economic programs | 926 | 3 | 4 | 0.0 | 51 | 0.0 | 627,397 | 0.0 | 946 |
| National security and international affairs | 928 | 1 | 1 | 0.0 | 4 | 0.0 | 128,765 | 0.0 | 2,701 |
| Unclassified establishments | 99 | 5 | 286 | 1.7 | 473 | 0.2 | 6,637,185 | 0.2 | 1,080 |
| Unclassified establishments | 999 | 5 | 286 | 1.7 | 473 | 0.2 | 6,637,185 | 0.2 | 1,080 |
