|
| Area Name | Pop 2010 | Pop 2020 | Pop 2021 | Pop 2022 | Pop 2030 | Chg 2010-20 | %Chg 2010-20 | Chg 2020-30 | %Chg 2020-30 |
| Los Angeles County, CA | 9,821,647 | 9,989,165 | 9,829,544 | 9,699,944 | 8,663,144 | 167,518 | 1.7 | -1,326,021 | -13.3 |
| Orange County, CA | 3,016,376 | 3,184,101 | 3,167,809 | 3,153,660 | 3,040,468 | 167,725 | 5.6 | -143,633 | -4.5 |
| Metro totals ... | 12,838,023 | 13,173,266 | 12,997,353 | 12,853,604 | 11,703,612 | 335,243 | 2.6 | -1,469,654 | -11.2 |
| 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 | $70,727 | 118,904 | 16.4 | 723,780 | 83,620 | 15.7 | 533,796 | 363,924 | 12.2 | 2,981,549 |
| 2011 | $72,046 | 129,549 | 17.9 | 723,343 | 87,837 | 16.5 | 532,131 | 391,460 | 13.0 | 3,018,800 |
| 2012 | $71,866 | 130,230 | 18.0 | 721,554 | 92,740 | 17.5 | 529,226 | 396,951 | 13.0 | 3,049,750 |
| 2013 | $73,827 | 134,278 | 18.8 | 713,366 | 97,643 | 18.6 | 524,205 | 416,204 | 13.5 | 3,072,686 |
| 2014 | $76,061 | 126,952 | 17.9 | 709,285 | 89,899 | 17.3 | 518,853 | 400,252 | 12.9 | 3,105,107 |
| 2015 | $78,002 | 118,384 | 16.8 | 703,345 | 83,331 | 16.2 | 514,181 | 398,428 | 12.7 | 3,128,383 |
| 2016 | $81,642 | 101,693 | 14.5 | 700,249 | 70,027 | 13.6 | 513,723 | 348,173 | 11.1 | 3,132,411 |
| 2017 | $86,031 | 108,596 | 15.7 | 693,374 | 80,717 | 15.9 | 508,309 | 362,109 | 11.5 | 3,148,278 |
| 2018 | $89,373 | 91,498 | 13.3 | 686,860 | 65,187 | 13.0 | 502,035 | 330,559 | 10.5 | 3,144,959 |
| 2019 | $95,761 | 84,854 | 12.6 | 674,467 | 61,939 | 12.5 | 494,174 | 297,658 | 9.5 | 3,132,602 |
| 2020 | $98,786 | 68,641 | 10.3 | 666,810 | 46,800 | 9.6 | 489,917 | 280,128 | 9.0 | 3,124,897 |
| 2021 | $100,210 | 73,387 | 11.0 | 666,258 | 52,153 | 10.5 | 496,744 | 309,402 | 9.9 | 3,127,610 |
| 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 | $57,664 | 2,012,723 | 22.0 | 9,156,662 | 1,382,859 | 20.8 | 6,634,166 | 5,785,036 | 15.8 | 36,593,422 |
| 2011 | $57,275 | 2,085,226 | 22.8 | 9,128,102 | 1,431,148 | 21.7 | 6,598,903 | 6,121,726 | 16.6 | 36,941,941 |
| 2012 | $58,322 | 2,164,589 | 23.8 | 9,103,796 | 1,499,768 | 22.8 | 6,571,820 | 6,323,433 | 17.0 | 37,303,312 |
| 2013 | $60,185 | 2,119,056 | 23.5 | 9,030,489 | 1,468,727 | 22.5 | 6,533,698 | 6,328,064 | 16.8 | 37,593,095 |
| 2014 | $61,927 | 2,040,811 | 22.6 | 9,017,054 | 1,424,469 | 21.9 | 6,511,235 | 6,253,423 | 16.4 | 38,060,226 |
| 2015 | $64,483 | 1,901,985 | 21.2 | 8,982,601 | 1,315,288 | 20.3 | 6,483,995 | 5,896,255 | 15.4 | 38,398,077 |
| 2016 | $67,715 | 1,782,764 | 19.9 | 8,959,115 | 1,242,780 | 19.2 | 6,487,993 | 5,527,621 | 14.4 | 38,513,333 |
| 2017 | $71,785 | 1,615,913 | 18.1 | 8,922,696 | 1,123,318 | 17.4 | 6,466,584 | 5,164,169 | 13.3 | 38,793,030 |
| 2018 | $75,250 | 1,539,628 | 17.4 | 8,861,486 | 1,086,618 | 16.9 | 6,438,004 | 4,972,955 | 12.8 | 38,818,530 |
| 2019 | $80,423 | 1,363,913 | 15.6 | 8,723,360 | 969,127 | 15.2 | 6,378,735 | 4,560,419 | 11.8 | 38,733,501 |
| 2020 | $83,001 | 1,260,145 | 14.6 | 8,609,649 | 898,424 | 14.2 | 6,332,102 | 4,419,167 | 11.5 | 38,585,897 |
| 2021 | $84,831 | 1,362,903 | 15.8 | 8,618,286 | 993,484 | 15.4 | 6,434,809 | 4,742,405 | 12.3 | 38,481,991 |
| 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 |
| 2021 | $69,717 | 12,243,219 | 16.9 | 72,297,129 | 8,636,275 | 16.1 | 53,700,713 | 41,393,176 | 12.8 | 324,173,084 |
| Population 7/1/20 | 3,184,101 |
| Births 6/30/19-7/1/20 | 30,892 |
| Deaths 6/30/19-7/1/20 | 23,920 |
| Natural Increase 6/30/19-7/1/20 | 6,972 |
| International Migration 6/30/19-7/1/20 | -344 |
| Domestic Migration 6/30/19-7/1/20 | -18,360 |
| Net Migration 6/30/19-7/1/20 | -18,704 |
| Population 7/1/21 | 3,167,809 |
| Births 6/30/20-7/1/21 | 32,347 |
| Deaths 6/30/20-7/1/21 | 25,108 |
| Natural Increase 6/30/20-7/1/21 | 7,239 |
| International Migration 6/30/20-7/1/21 | 1,214 |
| Domestic Migration 6/30/20-7/1/21 | -25,019 |
| Net Migration 6/30/20-7/1/21 | -23,805 |
| Subject Matter Item | 2010 | 2010% | 2020 | 2020% | 2010-20 Change | 2010-20% Change |
| Total population | 3,010,232 | 100.0 | 3,186,989 | 100.0 | 176,757 | 5.9 |
| One race | 2,882,433 | 95.8 | 2,739,808 | 86.0 | -142,625 | -4.9 |
| White alone | 1,830,758 | 60.8 | 1,383,257 | 43.4 | -447,501 | -24.4 |
| Black alone | 50,744 | 1.7 | 53,842 | 1.7 | 3,098 | 6.1 |
| American India/Alaskan Native alone | 18,132 | 0.6 | 38,322 | 1.2 | 20,190 | 111.4 |
| Asian alone | 537,804 | 17.9 | 706,813 | 22.2 | 169,009 | 31.4 |
| Native Hawaiian and Other Pacific Islander alone | 9,354 | 0.3 | 9,035 | 0.3 | -319 | -3.4 |
| Other race | 435,641 | 14.5 | 548,539 | 17.2 | 112,898 | 25.9 |
| Two or more races | 127,799 | 4.2 | 447,181 | 14.0 | 319,382 | 249.9 |
| White, Non-Hispanic | 1,328,499 | 44.1 | 1,198,655 | 37.6 | -129,844 | -9.8 |
| Black Non-Hispanic | 44,000 | 1.5 | 49,304 | 1.5 | 5,304 | 12.1 |
| Hispanic (of any race) | 1,012,973 | 33.7 | 1,086,834 | 34.1 | 73,861 | 7.3 |
| Total population, 18 years or older | 2,273,573 | 75.5 | 2,519,658 | 79.1 | 246,085 | 10.8 |
| One race | 2,201,296 | 73.1 | 2,207,615 | 69.3 | 6,319 | 0.3 |
| White alone | 1,430,117 | 47.5 | 1,150,168 | 36.1 | -279,949 | -19.6 |
| Black alone | 38,756 | 1.3 | 43,457 | 1.4 | 4,701 | 12.1 |
| American India/Alaskan Native alone | 13,357 | 0.4 | 29,133 | 0.9 | 15,776 | 118.1 |
| Asian alone | 423,562 | 14.1 | 574,345 | 18.0 | 150,783 | 35.6 |
| Native Hawaiian and Other Pacific Islander alone | 6,925 | 0.2 | 7,038 | 0.2 | 113 | 1.6 |
| Other race | 288,579 | 9.6 | 403,474 | 12.7 | 114,895 | 39.8 |
| Two or more races | 72,277 | 2.4 | 312,043 | 9.8 | 239,766 | 331.7 |
| White, Non-Hispanic | 1,093,451 | 36.3 | 1,021,930 | 32.1 | -71,521 | -6.5 |
| Black Non-Hispanic | 34,748 | 1.2 | 40,828 | 1.3 | 6,080 | 17.5 |
| Hispanic (of any race) | 669,206 | 22.2 | 784,070 | 24.6 | 114,864 | 17.2 |
| Group Quarters population | 39,236 | 1.3 | 53,431 | 1.7 | 14,195 | 36.2 |
| Group Quarters, institutionalized population | 14,531 | 0.5 | 13,831 | 0.4 | -700 | -4.8 |
| Group Quarters, noninstitutionalized population | 24,705 | 0.8 | 39,600 | 1.2 | 14,895 | 60.3 |
| Housing Units | 1,048,907 | 100.0 | 1,129,785 | 100.0 | 80,878 | 7.7 |
| Occupied | 992,781 | 94.6 | 1,074,105 | 95.1 | 81,324 | 8.2 |
| Vacant | 56,126 | 5.4 | 55,680 | 4.9 | -446 | -0.8 |
| Population/Component | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
| Population | 3,016,376 | 3,050,199 | 3,078,710 | 3,105,262 | 3,126,523 | 3,148,952 | 3,164,277 | 3,174,159 | 3,175,579 | 3,170,851 | 3,166,857 |
| Births | 9,305 | 38,240 | 37,846 | 37,619 | 37,893 | 38,565 | 37,300 | 38,261 | 36,521 | 35,514 | 35,163 |
| Deaths | 4,312 | 17,667 | 17,808 | 18,779 | 18,398 | 18,977 | 19,608 | 19,823 | 20,433 | 21,161 | 23,233 |
| Natural Increase | 4,993 | 20,573 | 20,038 | 18,840 | 19,495 | 19,588 | 17,692 | 18,438 | 16,088 | 14,353 | 11,930 |
| Net Migration | 1,473 | 13,343 | 9,217 | 8,235 | 2,240 | 3,101 | -2,299 | -8,515 | -14,705 | -19,144 | -16,039 |
| International | 1,322 | 7,924 | 7,106 | 9,349 | 10,878 | 12,679 | 11,759 | 9,531 | 5,959 | 2,765 | 2,336 |
| Domestic | 2,336 | 151 | 5,419 | 2,111 | -1,114 | -8,638 | -9,578 | -14,058 | -18,046 | -20,664 | -21,909 |
| Group Quarters | 40,272 | 41,213 | 43,303 | 43,734 | 43,606 | 44,178 | 43,188 | 45,038 | 44,930 | 44,010 | 43,650 |
| City/Place | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
| Los Alamitos city 0643224 | 11,391 | 11,492 | 11,560 | 11,597 | 11,631 | 11,621 | 11,587 | 11,526 | 11,458 | 11,399 | |
| Rancho Santa Margarita city 0659587 | 47,855 | 47,918 | 48,588 | 49,038 | 49,069 | 49,027 | 48,828 | 48,566 | 48,197 | 47,896 | |
| Aliso Viejo city 0600947 | 47,674 | 47,801 | 49,038 | 49,538 | 49,542 | 49,499 | 50,858 | 50,982 | 51,206 | 50,887 | |
| Anaheim city 0602000 | 336,760 | 339,831 | 342,071 | 343,832 | 344,604 | 350,698 | 348,251 | 350,013 | 350,476 | 350,365 | |
| Brea city 0608100 | 39,422 | 39,828 | 40,139 | 40,906 | 41,265 | 41,693 | 42,392 | 42,574 | 43,484 | 43,255 | |
| Buena Park city 0608786 | 80,792 | 81,553 | 82,045 | 82,717 | 82,621 | 82,770 | 82,988 | 82,619 | 82,187 | 81,788 | |
| Costa Mesa city 0616532 | 110,221 | 111,151 | 111,790 | 112,244 | 112,485 | 112,808 | 112,933 | 113,665 | 113,302 | 113,003 | |
| Cypress city 0617750 | 47,957 | 48,399 | 48,677 | 48,971 | 48,936 | 48,994 | 48,813 | 48,835 | 48,826 | 49,006 | |
| Dana Point city 0617946 | 33,336 | 33,634 | 33,830 | 33,962 | 33,927 | 33,968 | 33,931 | 33,768 | 33,629 | 33,577 | |
| Fountain Valley city 0625380 | 55,470 | 55,950 | 56,318 | 56,601 | 56,671 | 56,643 | 56,423 | 56,051 | 55,663 | 55,357 | |
| Fullerton city 0628000 | 135,291 | 138,840 | 136,386 | 138,103 | 138,637 | 139,982 | 140,454 | 139,744 | 139,273 | 138,632 | |
| Garden Grove city 0629000 | 171,181 | 172,957 | 173,809 | 174,422 | 174,423 | 174,343 | 174,571 | 173,422 | 172,195 | 171,644 | |
| Huntington Beach city 0636000 | 191,296 | 192,995 | 194,174 | 197,107 | 199,610 | 200,653 | 200,284 | 200,938 | 200,126 | 199,223 | |
| Irvine city 0636770 | 213,450 | 220,303 | 229,063 | 236,057 | 247,136 | 255,382 | 265,345 | 276,000 | 281,732 | 287,401 | |
| Laguna Beach city 0639178 | 22,765 | 22,976 | 23,098 | 23,213 | 23,214 | 23,232 | 23,165 | 23,045 | 22,931 | 22,827 | |
| Laguna Hills city 0639220 | 30,713 | 30,983 | 31,146 | 31,260 | 31,215 | 31,973 | 31,849 | 31,631 | 31,395 | 31,207 | |
| Laguna Niguel city 0639248 | 63,119 | 63,774 | 64,134 | 64,381 | 65,079 | 65,396 | 65,145 | 66,011 | 66,079 | 66,385 | |
| Laguna Woods city 0639259 | 16,012 | 16,148 | 16,233 | 16,290 | 16,264 | 16,251 | 16,184 | 16,068 | 15,949 | 15,850 | |
| La Habra city 0639290 | 59,108 | 59,658 | 59,970 | 60,224 | 60,421 | 60,473 | 60,292 | 60,898 | 60,778 | 60,513 | |
| Lake Forest city 0639496 | 77,552 | 78,299 | 78,727 | 79,112 | 79,678 | 81,964 | 83,019 | 83,878 | 85,381 | 85,531 | |
| La Palma city 0640256 | 15,545 | 15,676 | 15,757 | 15,846 | 15,819 | 15,806 | 15,739 | 15,644 | 15,525 | 15,428 | |
| Mission Viejo city 0648256 | 93,225 | 94,020 | 94,627 | 96,003 | 96,622 | 96,543 | 96,149 | 95,551 | 94,925 | 94,381 | |
| Newport Beach city 0651182 | 85,329 | 86,073 | 86,522 | 86,877 | 86,688 | 86,585 | 86,510 | 85,740 | 85,074 | 84,534 | |
| Orange city 0653980 | 137,103 | 138,539 | 139,372 | 139,972 | 139,424 | 140,503 | 140,581 | 140,251 | 139,449 | 138,669 | |
| Placentia city 0657526 | 50,994 | 51,503 | 51,838 | 52,105 | 52,108 | 52,202 | 52,154 | 51,916 | 51,538 | 51,233 | |
| San Clemente city 0665084 | 63,605 | 64,255 | 64,612 | 64,845 | 64,947 | 65,142 | 65,185 | 64,973 | 64,699 | 64,558 | |
| San Juan Capistrano city 0668028 | 34,483 | 34,862 | 35,096 | 35,525 | 35,779 | 35,935 | 35,941 | 35,882 | 35,902 | 35,911 | |
| Santa Ana city 0669000 | 325,327 | 328,227 | 330,550 | 333,716 | 333,431 | 333,417 | 333,765 | 332,627 | 331,912 | 332,318 | |
| Seal Beach city 0670686 | 24,109 | 24,506 | 24,320 | 24,456 | 24,537 | 24,475 | 24,400 | 24,209 | 24,050 | 23,896 | |
| Tustin city 0680854 | 75,472 | 76,227 | 77,575 | 78,122 | 80,138 | 80,088 | 80,245 | 80,121 | 79,578 | 79,348 | |
| Villa Park city 0682744 | 5,830 | 5,882 | 5,913 | 5,940 | 5,933 | 5,928 | 5,907 | 5,867 | 5,823 | 5,790 | |
| Westminster city 0684550 | 89,772 | 90,710 | 91,223 | 91,624 | 91,555 | 91,582 | 91,510 | 91,176 | 90,742 | 90,643 | |
| Balance of Orange County 0699990 | 120,532 | 122,014 | 123,358 | 124,376 | 127,093 | 129,969 | 131,166 | 133,358 | 136,506 | 137,454 | |
| Stanton city 0673962 | 37,900 | 38,231 | 38,374 | 38,550 | 38,504 | 38,655 | 38,627 | 38,382 | 38,172 | 38,139 | |
| Yorba Linda city 0686832 | 64,390 | 65,610 | 66,282 | 66,803 | 67,359 | 67,527 | 68,033 | 67,895 | 67,589 | 67,644 |
| Residence 1 Year Age | Geocode | Moved to 06059 | Moved from 06059 | Net Movers |
| Africa | null | 837 | null | null |
| Asia | null | 15564 | null | null |
| Central America | null | 3021 | null | null |
| Caribbean | null | 80 | null | null |
| Europe | null | 3403 | null | null |
| U.S. Island Areas | null | 245 | null | null |
| Northern America | null | 809 | null | null |
| Oceania and At Sea | null | 667 | null | null |
| South America | null | 983 | null | null |
| Jefferson County, Alabama | 01073 | 18 | 26 | -8 |
| Lee County, Alabama | 01081 | 0 | 43 | -43 |
| Limestone County, Alabama | 01083 | 0 | 20 | -20 |
| Macon County, Alabama | 01087 | 0 | 5 | -5 |
| Madison County, Alabama | 01089 | 0 | 46 | -46 |
| Mobile County, Alabama | 01097 | 88 | 24 | 64 |
| Shelby County, Alabama | 01117 | 29 | 10 | 19 |
| Tuscaloosa County, Alabama | 01125 | 0 | 53 | -53 |
| Anchorage Municipality, Alaska | 02020 | 76 | 42 | 34 |
| Kenai Peninsula Borough, Alaska | 02122 | 0 | 5 | -5 |
| Ketchikan Gateway Borough, Alaska | 02130 | 7 | 0 | 7 |
| Matanuska-Susitna Borough, Alaska | 02170 | 0 | 55 | -55 |
| Nome Census Area, Alaska | 02180 | 19 | 0 | 19 |
| Apache County, Arizona | 04001 | 0 | 5 | -5 |
| Cochise County, Arizona | 04003 | 0 | 11 | -11 |
| Coconino County, Arizona | 04005 | 111 | 492 | -381 |
| Gila County, Arizona | 04007 | 14 | 0 | 14 |
| Graham County, Arizona | 04009 | 0 | 5 | -5 |
| La Paz County, Arizona | 04012 | 21 | 17 | 4 |
| Maricopa County, Arizona | 04013 | 1113 | 5179 | -4066 |
| Mohave County, Arizona | 04015 | 49 | 429 | -380 |
| Pima County, Arizona | 04019 | 357 | 832 | -475 |
| Pinal County, Arizona | 04021 | 60 | 631 | -571 |
| Yavapai County, Arizona | 04025 | 110 | 673 | -563 |
| Yuma County, Arizona | 04027 | 1 | 61 | -60 |
| Benton County, Arkansas | 05007 | 172 | 31 | 141 |
| Carroll County, Arkansas | 05015 | 14 | 0 | 14 |
| Faulkner County, Arkansas | 05045 | 49 | 0 | 49 |
| Garland County, Arkansas | 05051 | 13 | 0 | 13 |
| Hot Spring County, Arkansas | 05059 | 0 | 1 | -1 |
| Pulaski County, Arkansas | 05119 | 70 | 0 | 70 |
| Sebastian County, Arkansas | 05131 | 0 | 41 | -41 |
| Washington County, Arkansas | 05143 | 0 | 53 | -53 |
| Alameda County, California | 06001 | 1095 | 1720 | -625 |
| Butte County, California | 06007 | 207 | 295 | -88 |
| Calaveras County, California | 06009 | 0 | 14 | -14 |
| Contra Costa County, California | 06013 | 911 | 603 | 308 |
| Del Norte County, California | 06015 | 15 | 4 | 11 |
| El Dorado County, California | 06017 | 268 | 191 | 77 |
| Fresno County, California | 06019 | 658 | 340 | 318 |
| Humboldt County, California | 06023 | 124 | 300 | -176 |
| Imperial County, California | 06025 | 104 | 41 | 63 |
| Inyo County, California | 06027 | 25 | 14 | 11 |
| Kern County, California | 06029 | 896 | 1237 | -341 |
| Kings County, California | 06031 | 31 | 187 | -156 |
| Lake County, California | 06033 | 18 | 0 | 18 |
| Lassen County, California | 06035 | 14 | 0 | 14 |
| Los Angeles County, California | 06037 | 38761 | 23839 | 14922 |
| Madera County, California | 06039 | 87 | 176 | -89 |
| Marin County, California | 06041 | 297 | 555 | -258 |
| Mariposa County, California | 06043 | 1 | 23 | -22 |
| Mendocino County, California | 06045 | 0 | 3 | -3 |
| Merced County, California | 06047 | 447 | 143 | 304 |
| Modoc County, California | 06049 | 0 | 10 | -10 |
| Mono County, California | 06051 | 23 | 37 | -14 |
| Monterey County, California | 06053 | 813 | 168 | 645 |
| Napa County, California | 06055 | 1710 | 152 | 1558 |
| Nevada County, California | 06057 | 244 | 47 | 197 |
| Placer County, California | 06061 | 323 | 1609 | -1286 |
| Plumas County, California | 06063 | 0 | 14 | -14 |
| Riverside County, California | 06065 | 9536 | 18321 | -8785 |
| Sacramento County, California | 06067 | 570 | 1373 | -803 |
| San Benito County, California | 06069 | 22 | 17 | 5 |
| San Bernardino County, California | 06071 | 4437 | 7799 | -3362 |
| San Diego County, California | 06073 | 6978 | 8261 | -1283 |
| San Francisco County, California | 06075 | 1556 | 805 | 751 |
| San Joaquin County, California | 06077 | 276 | 249 | 27 |
| San Luis Obispo County, California | 06079 | 497 | 1092 | -595 |
| San Mateo County, California | 06081 | 815 | 453 | 362 |
| Santa Barbara County, California | 06083 | 1062 | 958 | 104 |
| Santa Clara County, California | 06085 | 2442 | 1935 | 507 |
| Santa Cruz County, California | 06087 | 307 | 408 | -101 |
| Shasta County, California | 06089 | 55 | 127 | -72 |
| Siskiyou County, California | 06093 | 0 | 3 | -3 |
| Solano County, California | 06095 | 380 | 263 | 117 |
| Sonoma County, California | 06097 | 369 | 130 | 239 |
| Stanislaus County, California | 06099 | 221 | 84 | 137 |
| Sutter County, California | 06101 | 34 | 0 | 34 |
| Tehama County, California | 06103 | 73 | 0 | 73 |
| Trinity County, California | 06105 | 14 | 0 | 14 |
| Tulare County, California | 06107 | 323 | 104 | 219 |
| Tuolumne County, California | 06109 | 51 | 61 | -10 |
| Ventura County, California | 06111 | 712 | 637 | 75 |
| Yolo County, California | 06113 | 312 | 471 | -159 |
| Yuba County, California | 06115 | 0 | 26 | -26 |
| Adams County, Colorado | 08001 | 34 | 146 | -112 |
| Alamosa County, Colorado | 08003 | 35 | 0 | 35 |
| Arapahoe County, Colorado | 08005 | 220 | 209 | 11 |
| Boulder County, Colorado | 08013 | 229 | 602 | -373 |
| Broomfield County, Colorado | 08014 | 13 | 56 | -43 |
| Cheyenne County, Colorado | 08017 | 0 | 11 | -11 |
| Denver County, Colorado | 08031 | 260 | 242 | 18 |
| Douglas County, Colorado | 08035 | 240 | 221 | 19 |
| Eagle County, Colorado | 08037 | 11 | 45 | -34 |
| El Paso County, Colorado | 08041 | 367 | 511 | -144 |
| Garfield County, Colorado | 08045 | 30 | 0 | 30 |
| Gunnison County, Colorado | 08051 | 0 | 12 | -12 |
| Jefferson County, Colorado | 08059 | 33 | 247 | -214 |
| La Plata County, Colorado | 08067 | 0 | 8 | -8 |
| Larimer County, Colorado | 08069 | 41 | 356 | -315 |
| Mesa County, Colorado | 08077 | 33 | 11 | 22 |
| Morgan County, Colorado | 08087 | 59 | 50 | 9 |
| Ouray County, Colorado | 08091 | 35 | 2 | 33 |
| Pueblo County, Colorado | 08101 | 0 | 19 | -19 |
| San Miguel County, Colorado | 08113 | 0 | 15 | -15 |
| Summit County, Colorado | 08117 | 0 | 21 | -21 |
| Weld County, Colorado | 08123 | 27 | 61 | -34 |
| Fairfield County, Connecticut | 09001 | 215 | 36 | 179 |
| Hartford County, Connecticut | 09003 | 31 | 42 | -11 |
| New Haven County, Connecticut | 09009 | 33 | 67 | -34 |
| New London County, Connecticut | 09011 | 46 | 23 | 23 |
| Tolland County, Connecticut | 09013 | 19 | 6 | 13 |
| Windham County, Connecticut | 09015 | 2 | 0 | 2 |
| Kent County, Delaware | 10001 | 23 | 0 | 23 |
| New Castle County, Delaware | 10003 | 48 | 42 | 6 |
| District of Columbia, District of Columbia | 11001 | 188 | 395 | -207 |
| Alachua County, Florida | 12001 | 0 | 38 | -38 |
| Bay County, Florida | 12005 | 0 | 12 | -12 |
| Bradford County, Florida | 12007 | 0 | 47 | -47 |
| Brevard County, Florida | 12009 | 23 | 123 | -100 |
| Broward County, Florida | 12011 | 186 | 72 | 114 |
| Charlotte County, Florida | 12015 | 0 | 18 | -18 |
| Collier County, Florida | 12021 | 119 | 76 | 43 |
| DeSoto County, Florida | 12027 | 16 | 2 | 14 |
| Duval County, Florida | 12031 | 41 | 54 | -13 |
| Escambia County, Florida | 12033 | 49 | 48 | 1 |
| Hillsborough County, Florida | 12057 | 74 | 37 | 37 |
| Lake County, Florida | 12069 | 7 | 0 | 7 |
| Lee County, Florida | 12071 | 49 | 90 | -41 |
| Leon County, Florida | 12073 | 88 | 0 | 88 |
| Miami-Dade County, Florida | 12086 | 148 | 214 | -66 |
| Okaloosa County, Florida | 12091 | 7 | 56 | -49 |
| Orange County, Florida | 12095 | 246 | 180 | 66 |
| Palm Beach County, Florida | 12099 | 127 | 214 | -87 |
| Pinellas County, Florida | 12103 | 38 | 0 | 38 |
| Polk County, Florida | 12105 | 0 | 43 | -43 |
| St. Johns County, Florida | 12109 | 42 | 68 | -26 |
| Santa Rosa County, Florida | 12113 | 33 | 0 | 33 |
| Sarasota County, Florida | 12115 | 12 | 120 | -108 |
| Seminole County, Florida | 12117 | 0 | 198 | -198 |
| Volusia County, Florida | 12127 | 0 | 10 | -10 |
| Walton County, Florida | 12131 | 0 | 59 | -59 |
| Chatham County, Georgia | 13051 | 13 | 21 | -8 |
| Clarke County, Georgia | 13059 | 0 | 10 | -10 |
| Clayton County, Georgia | 13063 | 0 | 16 | -16 |
| Cobb County, Georgia | 13067 | 89 | 120 | -31 |
| Columbia County, Georgia | 13073 | 61 | 0 | 61 |
| Coweta County, Georgia | 13077 | 14 | 31 | -17 |
| DeKalb County, Georgia | 13089 | 81 | 105 | -24 |
| Effingham County, Georgia | 13103 | 19 | 0 | 19 |
| Fayette County, Georgia | 13113 | 96 | 45 | 51 |
| Forsyth County, Georgia | 13117 | 37 | 48 | -11 |
| Fulton County, Georgia | 13121 | 494 | 405 | 89 |
| Glynn County, Georgia | 13127 | 27 | 50 | -23 |
| Gwinnett County, Georgia | 13135 | 57 | 109 | -52 |
| Hall County, Georgia | 13139 | 56 | 39 | 17 |
| Harris County, Georgia | 13145 | 0 | 63 | -63 |
| Henry County, Georgia | 13151 | 14 | 30 | -16 |
| Houston County, Georgia | 13153 | 0 | 42 | -42 |
| Jackson County, Georgia | 13157 | 0 | 45 | -45 |
| Liberty County, Georgia | 13179 | 0 | 34 | -34 |
| Muscogee County, Georgia | 13215 | 0 | 56 | -56 |
| Newton County, Georgia | 13217 | 40 | 0 | 40 |
| Paulding County, Georgia | 13223 | 0 | 44 | -44 |
| Walton County, Georgia | 13297 | 0 | 2 | -2 |
| White County, Georgia | 13311 | 0 | 4 | -4 |
| Hawaii County, Hawaii | 15001 | 92 | 90 | 2 |
| Honolulu County, Hawaii | 15003 | 666 | 1155 | -489 |
| Kauai County, Hawaii | 15007 | 30 | 0 | 30 |
| Maui County, Hawaii | 15009 | 65 | 242 | -177 |
| Ada County, Idaho | 16001 | 169 | 1192 | -1023 |
| Bannock County, Idaho | 16005 | 0 | 30 | -30 |
| Benewah County, Idaho | 16009 | 0 | 13 | -13 |
| Bingham County, Idaho | 16011 | 0 | 9 | -9 |
| Blaine County, Idaho | 16013 | 30 | 0 | 30 |
| Bonner County, Idaho | 16017 | 0 | 85 | -85 |
| Bonneville County, Idaho | 16019 | 0 | 10 | -10 |
| Boundary County, Idaho | 16021 | 0 | 5 | -5 |
| Canyon County, Idaho | 16027 | 60 | 76 | -16 |
| Fremont County, Idaho | 16043 | 0 | 4 | -4 |
| Gem County, Idaho | 16045 | 0 | 8 | -8 |
| Jefferson County, Idaho | 16051 | 0 | 11 | -11 |
| Kootenai County, Idaho | 16055 | 133 | 449 | -316 |
| Latah County, Idaho | 16057 | 0 | 38 | -38 |
| Madison County, Idaho | 16065 | 42 | 166 | -124 |
| Owyhee County, Idaho | 16073 | 0 | 5 | -5 |
| Teton County, Idaho | 16081 | 0 | 13 | -13 |
| Twin Falls County, Idaho | 16083 | 0 | 124 | -124 |
| Valley County, Idaho | 16085 | 0 | 69 | -69 |
| Champaign County, Illinois | 17019 | 135 | 75 | 60 |
| Christian County, Illinois | 17021 | 0 | 49 | -49 |
| Cook County, Illinois | 17031 | 1114 | 842 | 272 |
| DeKalb County, Illinois | 17037 | 0 | 18 | -18 |
| DuPage County, Illinois | 17043 | 144 | 178 | -34 |
| Franklin County, Illinois | 17055 | 0 | 3 | -3 |
| Kane County, Illinois | 17089 | 7 | 39 | -32 |
| Kankakee County, Illinois | 17091 | 0 | 22 | -22 |
| Knox County, Illinois | 17095 | 0 | 9 | -9 |
| Lake County, Illinois | 17097 | 157 | 175 | -18 |
| McHenry County, Illinois | 17111 | 16 | 31 | -15 |
| McLean County, Illinois | 17113 | 28 | 0 | 28 |
| Macoupin County, Illinois | 17117 | 0 | 29 | -29 |
| Madison County, Illinois | 17119 | 0 | 6 | -6 |
| Peoria County, Illinois | 17143 | 0 | 13 | -13 |
| St. Clair County, Illinois | 17163 | 1 | 0 | 1 |
| Sangamon County, Illinois | 17167 | 0 | 7 | -7 |
| Tazewell County, Illinois | 17179 | 24 | 3 | 21 |
| Will County, Illinois | 17197 | 122 | 204 | -82 |
| Allen County, Indiana | 18003 | 8 | 151 | -143 |
| Boone County, Indiana | 18011 | 0 | 95 | -95 |
| Clinton County, Indiana | 18023 | 10 | 0 | 10 |
| Delaware County, Indiana | 18035 | 19 | 0 | 19 |
| Elkhart County, Indiana | 18039 | 0 | 113 | -113 |
| Hamilton County, Indiana | 18057 | 0 | 89 | -89 |
| Hancock County, Indiana | 18059 | 7 | 0 | 7 |
| Harrison County, Indiana | 18061 | 0 | 39 | -39 |
| Hendricks County, Indiana | 18063 | 30 | 66 | -36 |
| Huntington County, Indiana | 18069 | 0 | 6 | -6 |
| Jefferson County, Indiana | 18077 | 0 | 5 | -5 |
| Lake County, Indiana | 18089 | 0 | 28 | -28 |
| LaPorte County, Indiana | 18091 | 14 | 0 | 14 |
| Marion County, Indiana | 18097 | 220 | 98 | 122 |
| Monroe County, Indiana | 18105 | 37 | 64 | -27 |
| Porter County, Indiana | 18127 | 18 | 6 | 12 |
| St. Joseph County, Indiana | 18141 | 0 | 67 | -67 |
| Tippecanoe County, Indiana | 18157 | 57 | 19 | 38 |
| Wayne County, Indiana | 18177 | 0 | 10 | -10 |
| Buena Vista County, Iowa | 19021 | 10 | 0 | 10 |
| Dallas County, Iowa | 19049 | 10 | 0 | 10 |
| Des Moines County, Iowa | 19057 | 63 | 0 | 63 |
| Dickinson County, Iowa | 19059 | 0 | 8 | -8 |
| Iowa County, Iowa | 19095 | 0 | 33 | -33 |
| Jackson County, Iowa | 19097 | 0 | 11 | -11 |
| Jefferson County, Iowa | 19101 | 0 | 1 | -1 |
| Johnson County, Iowa | 19103 | 11 | 58 | -47 |
| Linn County, Iowa | 19113 | 107 | 0 | 107 |
| Marshall County, Iowa | 19127 | 57 | 0 | 57 |
| Polk County, Iowa | 19153 | 0 | 53 | -53 |
| Pottawattamie County, Iowa | 19155 | 17 | 0 | 17 |
| Sioux County, Iowa | 19167 | 0 | 5 | -5 |
| Story County, Iowa | 19169 | 8 | 135 | -127 |
| Washington County, Iowa | 19183 | 0 | 26 | -26 |
| Woodbury County, Iowa | 19193 | 38 | 28 | 10 |
| Bourbon County, Kansas | 20011 | 14 | 0 | 14 |
| Brown County, Kansas | 20013 | 0 | 1 | -1 |
| Butler County, Kansas | 20015 | 0 | 52 | -52 |
| Cowley County, Kansas | 20035 | 0 | 4 | -4 |
| Douglas County, Kansas | 20045 | 170 | 54 | 116 |
| Franklin County, Kansas | 20059 | 0 | 18 | -18 |
| Geary County, Kansas | 20061 | 76 | 25 | 51 |
| Johnson County, Kansas | 20091 | 38 | 111 | -73 |
| Leavenworth County, Kansas | 20103 | 0 | 8 | -8 |
| Miami County, Kansas | 20121 | 0 | 9 | -9 |
| Riley County, Kansas | 20161 | 9 | 0 | 9 |
| Sedgwick County, Kansas | 20173 | 0 | 81 | -81 |
| Shawnee County, Kansas | 20177 | 9 | 0 | 9 |
| Stanton County, Kansas | 20187 | 0 | 2 | -2 |
| Boyd County, Kentucky | 21019 | 8 | 14 | -6 |
| Bullitt County, Kentucky | 21029 | 0 | 6 | -6 |
| Carter County, Kentucky | 21043 | 0 | 3 | -3 |
| Elliott County, Kentucky | 21063 | 0 | 8 | -8 |
| Fayette County, Kentucky | 21067 | 0 | 8 | -8 |
| Hardin County, Kentucky | 21093 | 9 | 23 | -14 |
| Henderson County, Kentucky | 21101 | 0 | 13 | -13 |
| Hopkins County, Kentucky | 21107 | 0 | 6 | -6 |
| Jefferson County, Kentucky | 21111 | 3 | 105 | -102 |
| Kenton County, Kentucky | 21117 | 30 | 19 | 11 |
| Madison County, Kentucky | 21151 | 0 | 2 | -2 |
| Meade County, Kentucky | 21163 | 0 | 7 | -7 |
| Muhlenberg County, Kentucky | 21177 | 0 | 80 | -80 |
| Oldham County, Kentucky | 21185 | 49 | 0 | 49 |
| Pike County, Kentucky | 21195 | 0 | 9 | -9 |
| Shelby County, Kentucky | 21211 | 21 | 0 | 21 |
| Warren County, Kentucky | 21227 | 0 | 13 | -13 |
| Whitley County, Kentucky | 21235 | 0 | 7 | -7 |
| Woodford County, Kentucky | 21239 | 0 | 27 | -27 |
| Bossier Parish, Louisiana | 22015 | 27 | 0 | 27 |
| De Soto Parish, Louisiana | 22031 | 0 | 2 | -2 |
| East Baton Rouge Parish, Louisiana | 22033 | 39 | 13 | 26 |
| Jefferson Parish, Louisiana | 22051 | 29 | 14 | 15 |
| Lafayette Parish, Louisiana | 22055 | 0 | 83 | -83 |
| Lafourche Parish, Louisiana | 22057 | 0 | 24 | -24 |
| Orleans Parish, Louisiana | 22071 | 296 | 49 | 247 |
| Ouachita Parish, Louisiana | 22073 | 9 | 0 | 9 |
| St. Tammany Parish, Louisiana | 22103 | 35 | 0 | 35 |
| Tangipahoa Parish, Louisiana | 22105 | 15 | 0 | 15 |
| Terrebonne Parish, Louisiana | 22109 | 21 | 14 | 7 |
| Aroostook County, Maine | 23003 | 0 | 18 | -18 |
| Cumberland County, Maine | 23005 | 64 | 70 | -6 |
| Oxford County, Maine | 23017 | 0 | 10 | -10 |
| Washington County, Maine | 23029 | 0 | 3 | -3 |
| Anne Arundel County, Maryland | 24003 | 58 | 0 | 58 |
| Baltimore County, Maryland | 24005 | 77 | 40 | 37 |
| Harford County, Maryland | 24025 | 22 | 0 | 22 |
| Howard County, Maryland | 24027 | 47 | 79 | -32 |
| Montgomery County, Maryland | 24031 | 201 | 91 | 110 |
| Prince George's County, Maryland | 24033 | 24 | 129 | -105 |
| Washington County, Maryland | 24043 | 0 | 6 | -6 |
| Wicomico County, Maryland | 24045 | 8 | 0 | 8 |
| Baltimore City, Maryland | 24510 | 64 | 98 | -34 |
| Berkshire County, Massachusetts | 25003 | 30 | 0 | 30 |
| Dukes County, Massachusetts | 25007 | 0 | 7 | -7 |
| Essex County, Massachusetts | 25009 | 53 | 29 | 24 |
| Franklin County, Massachusetts | 25011 | 0 | 5 | -5 |
| Hampden County, Massachusetts | 25013 | 0 | 65 | -65 |
| Hampshire County, Massachusetts | 25015 | 15 | 18 | -3 |
| Middlesex County, Massachusetts | 25017 | 260 | 133 | 127 |
| Norfolk County, Massachusetts | 25021 | 17 | 71 | -54 |
| Plymouth County, Massachusetts | 25023 | 37 | 173 | -136 |
| Suffolk County, Massachusetts | 25025 | 521 | 321 | 200 |
| Worcester County, Massachusetts | 25027 | 23 | 67 | -44 |
| Allegan County, Michigan | 26005 | 15 | 0 | 15 |
| Baraga County, Michigan | 26013 | 37 | 0 | 37 |
| Berrien County, Michigan | 26021 | 0 | 27 | -27 |
| Branch County, Michigan | 26023 | 9 | 0 | 9 |
| Clinton County, Michigan | 26037 | 100 | 0 | 100 |
| Dickinson County, Michigan | 26043 | 0 | 4 | -4 |
| Genesee County, Michigan | 26049 | 0 | 3 | -3 |
| Grand Traverse County, Michigan | 26055 | 41 | 0 | 41 |
| Hillsdale County, Michigan | 26059 | 0 | 11 | -11 |
| Ingham County, Michigan | 26065 | 38 | 0 | 38 |
| Iron County, Michigan | 26071 | 0 | 4 | -4 |
| Isabella County, Michigan | 26073 | 31 | 11 | 20 |
| Jackson County, Michigan | 26075 | 0 | 12 | -12 |
| Kalamazoo County, Michigan | 26077 | 0 | 66 | -66 |
| Livingston County, Michigan | 26093 | 0 | 14 | -14 |
| Mackinac County, Michigan | 26097 | 0 | 22 | -22 |
| Macomb County, Michigan | 26099 | 20 | 20 | 0 |
| Marquette County, Michigan | 26103 | 0 | 2 | -2 |
| Montcalm County, Michigan | 26117 | 0 | 12 | -12 |
| Oakland County, Michigan | 26125 | 324 | 182 | 142 |
| Saginaw County, Michigan | 26145 | 15 | 0 | 15 |
| Van Buren County, Michigan | 26159 | 0 | 6 | -6 |
| Washtenaw County, Michigan | 26161 | 20 | 147 | -127 |
| Wayne County, Michigan | 26163 | 126 | 156 | -30 |
| Blue Earth County, Minnesota | 27013 | 37 | 0 | 37 |
| Carlton County, Minnesota | 27017 | 0 | 7 | -7 |
| Dakota County, Minnesota | 27037 | 36 | 83 | -47 |
| Hennepin County, Minnesota | 27053 | 546 | 457 | 89 |
| Hubbard County, Minnesota | 27057 | 0 | 10 | -10 |
| Itasca County, Minnesota | 27061 | 0 | 4 | -4 |
| Kandiyohi County, Minnesota | 27067 | 0 | 28 | -28 |
| McLeod County, Minnesota | 27085 | 29 | 0 | 29 |
| Morrison County, Minnesota | 27097 | 2 | 0 | 2 |
| Mower County, Minnesota | 27099 | 0 | 15 | -15 |
| Nicollet County, Minnesota | 27103 | 0 | 26 | -26 |
| Otter Tail County, Minnesota | 27111 | 0 | 2 | -2 |
| Pipestone County, Minnesota | 27117 | 12 | 0 | 12 |
| Ramsey County, Minnesota | 27123 | 60 | 68 | -8 |
| Rice County, Minnesota | 27131 | 0 | 20 | -20 |
| St. Louis County, Minnesota | 27137 | 0 | 102 | -102 |
| Sherburne County, Minnesota | 27141 | 50 | 0 | 50 |
| Stearns County, Minnesota | 27145 | 0 | 5 | -5 |
| Washington County, Minnesota | 27163 | 47 | 0 | 47 |
| Yellow Medicine County, Minnesota | 27173 | 0 | 1 | -1 |
| Harrison County, Mississippi | 28047 | 0 | 37 | -37 |
| Hinds County, Mississippi | 28049 | 52 | 23 | 29 |
| Lafayette County, Mississippi | 28071 | 0 | 48 | -48 |
| Stone County, Mississippi | 28131 | 0 | 6 | -6 |
| Barry County, Missouri | 29009 | 0 | 13 | -13 |
| Boone County, Missouri | 29019 | 28 | 0 | 28 |
| Buchanan County, Missouri | 29021 | 18 | 0 | 18 |
| Chariton County, Missouri | 29041 | 0 | 17 | -17 |
| Christian County, Missouri | 29043 | 0 | 13 | -13 |
| Cole County, Missouri | 29051 | 0 | 13 | -13 |
| Greene County, Missouri | 29077 | 117 | 30 | 87 |
| Jackson County, Missouri | 29095 | 65 | 84 | -19 |
| Jefferson County, Missouri | 29099 | 21 | 0 | 21 |
| Laclede County, Missouri | 29105 | 0 | 15 | -15 |
| Newton County, Missouri | 29145 | 28 | 0 | 28 |
| Nodaway County, Missouri | 29147 | 0 | 12 | -12 |
| Phelps County, Missouri | 29161 | 0 | 58 | -58 |
| Pulaski County, Missouri | 29169 | 0 | 32 | -32 |
| St. Charles County, Missouri | 29183 | 0 | 26 | -26 |
| St. Louis County, Missouri | 29189 | 117 | 27 | 90 |
| Saline County, Missouri | 29195 | 0 | 4 | -4 |
| Scott County, Missouri | 29201 | 0 | 14 | -14 |
| Stone County, Missouri | 29209 | 7 | 0 | 7 |
| St. Louis City, Missouri | 29510 | 30 | 89 | -59 |
| Carbon County, Montana | 30009 | 0 | 9 | -9 |
| Flathead County, Montana | 30029 | 44 | 4 | 40 |
| Gallatin County, Montana | 30031 | 0 | 46 | -46 |
| Granite County, Montana | 30039 | 0 | 7 | -7 |
| Lewis and Clark County, Montana | 30049 | 11 | 18 | -7 |
| Missoula County, Montana | 30063 | 7 | 7 | 0 |
| Ravalli County, Montana | 30081 | 17 | 49 | -32 |
| Yellowstone County, Montana | 30111 | 0 | 8 | -8 |
| Cass County, Nebraska | 31025 | 0 | 22 | -22 |
| Cherry County, Nebraska | 31031 | 0 | 4 | -4 |
| Douglas County, Nebraska | 31055 | 88 | 36 | 52 |
| Johnson County, Nebraska | 31097 | 0 | 2 | -2 |
| Lancaster County, Nebraska | 31109 | 30 | 172 | -142 |
| Lincoln County, Nebraska | 31111 | 8 | 0 | 8 |
| Sarpy County, Nebraska | 31153 | 19 | 0 | 19 |
| Clark County, Nevada | 32003 | 1300 | 2451 | -1151 |
| Douglas County, Nevada | 32005 | 19 | 150 | -131 |
| Storey County, Nevada | 32029 | 0 | 12 | -12 |
| Washoe County, Nevada | 32031 | 37 | 292 | -255 |
| Carson City, Nevada | 32510 | 14 | 0 | 14 |
| Grafton County, New Hampshire | 33009 | 52 | 40 | 12 |
| Hillsborough County, New Hampshire | 33011 | 54 | 0 | 54 |
| Merrimack County, New Hampshire | 33013 | 29 | 0 | 29 |
| Rockingham County, New Hampshire | 33015 | 30 | 0 | 30 |
| Bergen County, New Jersey | 34003 | 103 | 130 | -27 |
| Burlington County, New Jersey | 34005 | 4 | 0 | 4 |
| Camden County, New Jersey | 34007 | 0 | 11 | -11 |
| Essex County, New Jersey | 34013 | 35 | 9 | 26 |
| Hudson County, New Jersey | 34017 | 28 | 132 | -104 |
| Mercer County, New Jersey | 34021 | 15 | 72 | -57 |
| Middlesex County, New Jersey | 34023 | 42 | 51 | -9 |
| Monmouth County, New Jersey | 34025 | 420 | 55 | 365 |
| Morris County, New Jersey | 34027 | 446 | 59 | 387 |
| Ocean County, New Jersey | 34029 | 0 | 5 | -5 |
| Somerset County, New Jersey | 34035 | 0 | 21 | -21 |
| Sussex County, New Jersey | 34037 | 33 | 10 | 23 |
| Union County, New Jersey | 34039 | 32 | 11 | 21 |
| Bernalillo County, New Mexico | 35001 | 166 | 142 | 24 |
| Curry County, New Mexico | 35009 | 0 | 1 | -1 |
| Doña Ana County, New Mexico | 35013 | 44 | 0 | 44 |
| Eddy County, New Mexico | 35015 | 0 | 1 | -1 |
| Los Alamos County, New Mexico | 35028 | 23 | 0 | 23 |
| Otero County, New Mexico | 35035 | 74 | 0 | 74 |
| Roosevelt County, New Mexico | 35041 | 16 | 0 | 16 |
| Sandoval County, New Mexico | 35043 | 9 | 29 | -20 |
| Santa Fe County, New Mexico | 35049 | 11 | 0 | 11 |
| Union County, New Mexico | 35059 | 24 | 0 | 24 |
| Albany County, New York | 36001 | 100 | 21 | 79 |
| Bronx County, New York | 36005 | 0 | 109 | -109 |
| Broome County, New York | 36007 | 45 | 0 | 45 |
| Chemung County, New York | 36015 | 0 | 7 | -7 |
| Dutchess County, New York | 36027 | 13 | 60 | -47 |
| Erie County, New York | 36029 | 120 | 8 | 112 |
| Jefferson County, New York | 36045 | 122 | 3 | 119 |
| Kings County, New York | 36047 | 413 | 194 | 219 |
| Monroe County, New York | 36055 | 124 | 0 | 124 |
| Nassau County, New York | 36059 | 34 | 118 | -84 |
| New York County, New York | 36061 | 705 | 533 | 172 |
| Niagara County, New York | 36063 | 0 | 3 | -3 |
| Onondaga County, New York | 36067 | 22 | 25 | -3 |
| Queens County, New York | 36081 | 232 | 9 | 223 |
| Rensselaer County, New York | 36083 | 0 | 53 | -53 |
| Rockland County, New York | 36087 | 0 | 15 | -15 |
| Saratoga County, New York | 36091 | 0 | 3 | -3 |
| Schenectady County, New York | 36093 | 13 | 0 | 13 |
| Suffolk County, New York | 36103 | 0 | 71 | -71 |
| Tompkins County, New York | 36109 | 0 | 75 | -75 |
| Westchester County, New York | 36119 | 98 | 139 | -41 |
| Alamance County, North Carolina | 37001 | 0 | 64 | -64 |
| Brunswick County, North Carolina | 37019 | 0 | 67 | -67 |
| Burke County, North Carolina | 37023 | 0 | 18 | -18 |
| Carteret County, North Carolina | 37031 | 0 | 19 | -19 |
| Catawba County, North Carolina | 37035 | 0 | 20 | -20 |
| Chatham County, North Carolina | 37037 | 52 | 0 | 52 |
| Cleveland County, North Carolina | 37045 | 0 | 13 | -13 |
| Craven County, North Carolina | 37049 | 0 | 7 | -7 |
| Cumberland County, North Carolina | 37051 | 71 | 55 | 16 |
| Durham County, North Carolina | 37063 | 101 | 35 | 66 |
| Forsyth County, North Carolina | 37067 | 0 | 6 | -6 |
| Gaston County, North Carolina | 37071 | 24 | 1 | 23 |
| Guilford County, North Carolina | 37081 | 19 | 53 | -34 |
| Haywood County, North Carolina | 37087 | 28 | 0 | 28 |
| Iredell County, North Carolina | 37097 | 0 | 16 | -16 |
| Jackson County, North Carolina | 37099 | 0 | 6 | -6 |
| Lincoln County, North Carolina | 37109 | 0 | 273 | -273 |
| Mecklenburg County, North Carolina | 37119 | 0 | 412 | -412 |
| New Hanover County, North Carolina | 37129 | 0 | 6 | -6 |
| Onslow County, North Carolina | 37133 | 0 | 145 | -145 |
| Orange County, North Carolina | 37135 | 0 | 1 | -1 |
| Pender County, North Carolina | 37141 | 0 | 3 | -3 |
| Pitt County, North Carolina | 37147 | 0 | 20 | -20 |
| Richmond County, North Carolina | 37153 | 0 | 14 | -14 |
| Robeson County, North Carolina | 37155 | 0 | 20 | -20 |
| Rowan County, North Carolina | 37159 | 15 | 17 | -2 |
| Stanly County, North Carolina | 37167 | 0 | 7 | -7 |
| Transylvania County, North Carolina | 37175 | 0 | 17 | -17 |
| Union County, North Carolina | 37179 | 109 | 81 | 28 |
| Wake County, North Carolina | 37183 | 185 | 305 | -120 |
| Watauga County, North Carolina | 37189 | 0 | 3 | -3 |
| Wilson County, North Carolina | 37195 | 65 | 0 | 65 |
| Burleigh County, North Dakota | 38015 | 19 | 0 | 19 |
| Cass County, North Dakota | 38017 | 0 | 5 | -5 |
| Grand Forks County, North Dakota | 38035 | 0 | 36 | -36 |
| Clermont County, Ohio | 39025 | 21 | 34 | -13 |
| Cuyahoga County, Ohio | 39035 | 249 | 133 | 116 |
| Franklin County, Ohio | 39049 | 105 | 146 | -41 |
| Geauga County, Ohio | 39055 | 0 | 16 | -16 |
| Greene County, Ohio | 39057 | 0 | 12 | -12 |
| Hamilton County, Ohio | 39061 | 147 | 35 | 112 |
| Hancock County, Ohio | 39063 | 0 | 89 | -89 |
| Hocking County, Ohio | 39073 | 15 | 0 | 15 |
| Licking County, Ohio | 39089 | 75 | 0 | 75 |
| Lucas County, Ohio | 39095 | 39 | 0 | 39 |
| Mercer County, Ohio | 39107 | 0 | 3 | -3 |
| Montgomery County, Ohio | 39113 | 20 | 8 | 12 |
| Perry County, Ohio | 39127 | 0 | 17 | -17 |
| Portage County, Ohio | 39133 | 40 | 80 | -40 |
| Preble County, Ohio | 39135 | 0 | 6 | -6 |
| Richland County, Ohio | 39139 | 0 | 17 | -17 |
| Scioto County, Ohio | 39145 | 37 | 0 | 37 |
| Stark County, Ohio | 39151 | 38 | 33 | 5 |
| Summit County, Ohio | 39153 | 30 | 22 | 8 |
| Trumbull County, Ohio | 39155 | 0 | 8 | -8 |
| Union County, Ohio | 39159 | 0 | 10 | -10 |
| Warren County, Ohio | 39165 | 41 | 39 | 2 |
| Canadian County, Oklahoma | 40017 | 41 | 0 | 41 |
| Comanche County, Oklahoma | 40031 | 0 | 30 | -30 |
| Creek County, Oklahoma | 40037 | 0 | 23 | -23 |
| Custer County, Oklahoma | 40039 | 30 | 49 | -19 |
| Delaware County, Oklahoma | 40041 | 0 | 2 | -2 |
| Garfield County, Oklahoma | 40047 | 0 | 2 | -2 |
| Kay County, Oklahoma | 40071 | 0 | 3 | -3 |
| Marshall County, Oklahoma | 40095 | 0 | 34 | -34 |
| Oklahoma County, Oklahoma | 40109 | 7 | 77 | -70 |
| Ottawa County, Oklahoma | 40115 | 0 | 6 | -6 |
| Payne County, Oklahoma | 40119 | 15 | 120 | -105 |
| Pottawatomie County, Oklahoma | 40125 | 0 | 9 | -9 |
| Rogers County, Oklahoma | 40131 | 5 | 0 | 5 |
| Stephens County, Oklahoma | 40137 | 0 | 19 | -19 |
| Tulsa County, Oklahoma | 40143 | 11 | 137 | -126 |
| Wagoner County, Oklahoma | 40145 | 0 | 29 | -29 |
| Washington County, Oklahoma | 40147 | 28 | 13 | 15 |
| Woodward County, Oklahoma | 40153 | 0 | 1 | -1 |
| Benton County, Oregon | 41003 | 52 | 58 | -6 |
| Clackamas County, Oregon | 41005 | 26 | 40 | -14 |
| Clatsop County, Oregon | 41007 | 33 | 20 | 13 |
| Columbia County, Oregon | 41009 | 0 | 59 | -59 |
| Coos County, Oregon | 41011 | 40 | 0 | 40 |
| Deschutes County, Oregon | 41017 | 99 | 63 | 36 |
| Douglas County, Oregon | 41019 | 0 | 27 | -27 |
| Grant County, Oregon | 41023 | 0 | 4 | -4 |
| Jackson County, Oregon | 41029 | 75 | 167 | -92 |
| Jefferson County, Oregon | 41031 | 0 | 12 | -12 |
| Josephine County, Oregon | 41033 | 81 | 5 | 76 |
| Klamath County, Oregon | 41035 | 51 | 46 | 5 |
| Lane County, Oregon | 41039 | 93 | 794 | -701 |
| Lincoln County, Oregon | 41041 | 0 | 99 | -99 |
| Marion County, Oregon | 41047 | 21 | 71 | -50 |
| Morrow County, Oregon | 41049 | 0 | 13 | -13 |
| Multnomah County, Oregon | 41051 | 235 | 296 | -61 |
| Polk County, Oregon | 41053 | 0 | 16 | -16 |
| Sherman County, Oregon | 41055 | 0 | 1 | -1 |
| Washington County, Oregon | 41067 | 126 | 195 | -69 |
| Yamhill County, Oregon | 41071 | 31 | 0 | 31 |
| Adams County, Pennsylvania | 42001 | 0 | 8 | -8 |
| Allegheny County, Pennsylvania | 42003 | 128 | 151 | -23 |
| Beaver County, Pennsylvania | 42007 | 0 | 15 | -15 |
| Berks County, Pennsylvania | 42011 | 100 | 32 | 68 |
| Bucks County, Pennsylvania | 42017 | 157 | 57 | 100 |
| Centre County, Pennsylvania | 42027 | 60 | 19 | 41 |
| Chester County, Pennsylvania | 42029 | 175 | 98 | 77 |
| Columbia County, Pennsylvania | 42037 | 0 | 10 | -10 |
| Crawford County, Pennsylvania | 42039 | 0 | 35 | -35 |
| Cumberland County, Pennsylvania | 42041 | 0 | 82 | -82 |
| Dauphin County, Pennsylvania | 42043 | 55 | 24 | 31 |
| Delaware County, Pennsylvania | 42045 | 0 | 50 | -50 |
| Elk County, Pennsylvania | 42047 | 19 | 0 | 19 |
| Erie County, Pennsylvania | 42049 | 0 | 6 | -6 |
| Lancaster County, Pennsylvania | 42071 | 14 | 18 | -4 |
| Lehigh County, Pennsylvania | 42077 | 21 | 69 | -48 |
| Luzerne County, Pennsylvania | 42079 | 0 | 57 | -57 |
| Lycoming County, Pennsylvania | 42081 | 0 | 21 | -21 |
| Mercer County, Pennsylvania | 42085 | 0 | 2 | -2 |
| Montgomery County, Pennsylvania | 42091 | 294 | 81 | 213 |
| Northampton County, Pennsylvania | 42095 | 42 | 7 | 35 |
| Philadelphia County, Pennsylvania | 42101 | 310 | 112 | 198 |
| Tioga County, Pennsylvania | 42117 | 0 | 9 | -9 |
| Union County, Pennsylvania | 42119 | 0 | 19 | -19 |
| Washington County, Pennsylvania | 42125 | 64 | 1 | 63 |
| Kent County, Rhode Island | 44003 | 55 | 0 | 55 |
| Newport County, Rhode Island | 44005 | 48 | 0 | 48 |
| Providence County, Rhode Island | 44007 | 0 | 44 | -44 |
| Washington County, Rhode Island | 44009 | 9 | 0 | 9 |
| Anderson County, South Carolina | 45007 | 0 | 13 | -13 |
| Beaufort County, South Carolina | 45013 | 102 | 162 | -60 |
| Berkeley County, South Carolina | 45015 | 16 | 70 | -54 |
| Charleston County, South Carolina | 45019 | 35 | 47 | -12 |
| Dorchester County, South Carolina | 45035 | 26 | 0 | 26 |
| Horry County, South Carolina | 45051 | 15 | 78 | -63 |
| Jasper County, South Carolina | 45053 | 0 | 13 | -13 |
| Kershaw County, South Carolina | 45055 | 0 | 5 | -5 |
| Laurens County, South Carolina | 45059 | 0 | 93 | -93 |
| Lexington County, South Carolina | 45063 | 0 | 23 | -23 |
| Pickens County, South Carolina | 45077 | 0 | 60 | -60 |
| Richland County, South Carolina | 45079 | 9 | 188 | -179 |
| Sumter County, South Carolina | 45085 | 0 | 11 | -11 |
| York County, South Carolina | 45091 | 33 | 0 | 33 |
| Beadle County, South Dakota | 46005 | 0 | 57 | -57 |
| Brown County, South Dakota | 46013 | 0 | 42 | -42 |
| Clay County, South Dakota | 46027 | 0 | 6 | -6 |
| Custer County, South Dakota | 46033 | 0 | 13 | -13 |
| Meade County, South Dakota | 46093 | 0 | 28 | -28 |
| Minnehaha County, South Dakota | 46099 | 0 | 20 | -20 |
| Bedford County, Tennessee | 47003 | 0 | 36 | -36 |
| Campbell County, Tennessee | 47013 | 0 | 16 | -16 |
| Carter County, Tennessee | 47019 | 55 | 0 | 55 |
| Cumberland County, Tennessee | 47035 | 0 | 28 | -28 |
| Davidson County, Tennessee | 47037 | 149 | 297 | -148 |
| Franklin County, Tennessee | 47051 | 0 | 2 | -2 |
| Greene County, Tennessee | 47059 | 17 | 0 | 17 |
| Hamilton County, Tennessee | 47065 | 36 | 156 | -120 |
| Knox County, Tennessee | 47093 | 7 | 0 | 7 |
| Montgomery County, Tennessee | 47125 | 11 | 34 | -23 |
| Putnam County, Tennessee | 47141 | 14 | 0 | 14 |
| Rutherford County, Tennessee | 47149 | 37 | 68 | -31 |
| Shelby County, Tennessee | 47157 | 24 | 57 | -33 |
| Sullivan County, Tennessee | 47163 | 63 | 0 | 63 |
| Sumner County, Tennessee | 47165 | 0 | 67 | -67 |
| Weakley County, Tennessee | 47183 | 0 | 7 | -7 |
| Williamson County, Tennessee | 47187 | 0 | 152 | -152 |
| Bandera County, Texas | 48019 | 0 | 9 | -9 |
| Bastrop County, Texas | 48021 | 0 | 31 | -31 |
| Bell County, Texas | 48027 | 0 | 90 | -90 |
| Bexar County, Texas | 48029 | 126 | 420 | -294 |
| Bowie County, Texas | 48037 | 2 | 0 | 2 |
| Brazos County, Texas | 48041 | 46 | 62 | -16 |
| Brewster County, Texas | 48043 | 0 | 23 | -23 |
| Carson County, Texas | 48065 | 0 | 1 | -1 |
| Collin County, Texas | 48085 | 226 | 1062 | -836 |
| Comal County, Texas | 48091 | 28 | 34 | -6 |
| Dallas County, Texas | 48113 | 316 | 1197 | -881 |
| Denton County, Texas | 48121 | 141 | 580 | -439 |
| Ector County, Texas | 48135 | 77 | 0 | 77 |
| El Paso County, Texas | 48141 | 445 | 222 | 223 |
| Fort Bend County, Texas | 48157 | 81 | 89 | -8 |
| Galveston County, Texas | 48167 | 9 | 0 | 9 |
| Gillespie County, Texas | 48171 | 0 | 8 | -8 |
| Gray County, Texas | 48179 | 0 | 100 | -100 |
| Grayson County, Texas | 48181 | 15 | 52 | -37 |
| Gregg County, Texas | 48183 | 5 | 75 | -70 |
| Guadalupe County, Texas | 48187 | 51 | 114 | -63 |
| Hale County, Texas | 48189 | 0 | 4 | -4 |
| Harris County, Texas | 48201 | 205 | 602 | -397 |
| Hays County, Texas | 48209 | 0 | 85 | -85 |
| Henderson County, Texas | 48213 | 0 | 3 | -3 |
| Hidalgo County, Texas | 48215 | 0 | 22 | -22 |
| Hood County, Texas | 48221 | 10 | 0 | 10 |
| Jefferson County, Texas | 48245 | 133 | 89 | 44 |
| Johnson County, Texas | 48251 | 197 | 10 | 187 |
| Kaufman County, Texas | 48257 | 0 | 94 | -94 |
| Kerr County, Texas | 48265 | 47 | 0 | 47 |
| Lubbock County, Texas | 48303 | 0 | 109 | -109 |
| McLennan County, Texas | 48309 | 0 | 577 | -577 |
| Matagorda County, Texas | 48321 | 0 | 6 | -6 |
| Montgomery County, Texas | 48339 | 0 | 157 | -157 |
| Moore County, Texas | 48341 | 49 | 0 | 49 |
| Nueces County, Texas | 48355 | 0 | 18 | -18 |
| Palo Pinto County, Texas | 48363 | 22 | 0 | 22 |
| Reeves County, Texas | 48389 | 0 | 6 | -6 |
| San Patricio County, Texas | 48409 | 102 | 15 | 87 |
| Shelby County, Texas | 48419 | 7 | 0 | 7 |
| Smith County, Texas | 48423 | 7 | 164 | -157 |
| Tarrant County, Texas | 48439 | 630 | 646 | -16 |
| Taylor County, Texas | 48441 | 0 | 25 | -25 |
| Travis County, Texas | 48453 | 256 | 569 | -313 |
| Uvalde County, Texas | 48463 | 0 | 98 | -98 |
| Van Zandt County, Texas | 48467 | 0 | 17 | -17 |
| Waller County, Texas | 48473 | 64 | 41 | 23 |
| Washington County, Texas | 48477 | 4 | 0 | 4 |
| Webb County, Texas | 48479 | 0 | 58 | -58 |
| Williamson County, Texas | 48491 | 97 | 647 | -550 |
| Wood County, Texas | 48499 | 0 | 18 | -18 |
| Cache County, Utah | 49005 | 0 | 23 | -23 |
| Davis County, Utah | 49011 | 0 | 29 | -29 |
| Iron County, Utah | 49021 | 5 | 201 | -196 |
| Salt Lake County, Utah | 49035 | 393 | 521 | -128 |
| Uintah County, Utah | 49047 | 36 | 0 | 36 |
| Utah County, Utah | 49049 | 66 | 426 | -360 |
| Wasatch County, Utah | 49051 | 13 | 155 | -142 |
| Washington County, Utah | 49053 | 31 | 75 | -44 |
| Weber County, Utah | 49057 | 0 | 99 | -99 |
| Addison County, Vermont | 50001 | 6 | 4 | 2 |
| Chittenden County, Vermont | 50007 | 23 | 47 | -24 |
| Franklin County, Vermont | 50011 | 0 | 6 | -6 |
| Grand Isle County, Vermont | 50013 | 0 | 43 | -43 |
| Albemarle County, Virginia | 51003 | 10 | 25 | -15 |
| Arlington County, Virginia | 51013 | 369 | 42 | 327 |
| Augusta County, Virginia | 51015 | 0 | 83 | -83 |
| Buchanan County, Virginia | 51027 | 0 | 50 | -50 |
| Caroline County, Virginia | 51033 | 8 | 0 | 8 |
| Chesterfield County, Virginia | 51041 | 0 | 9 | -9 |
| Dinwiddie County, Virginia | 51053 | 11 | 10 | 1 |
| Fairfax County, Virginia | 51059 | 272 | 291 | -19 |
| Henry County, Virginia | 51089 | 58 | 0 | 58 |
| Loudoun County, Virginia | 51107 | 99 | 52 | 47 |
| Middlesex County, Virginia | 51119 | 0 | 7 | -7 |
| Powhatan County, Virginia | 51145 | 0 | 56 | -56 |
| Prince William County, Virginia | 51153 | 0 | 39 | -39 |
| Stafford County, Virginia | 51179 | 0 | 42 | -42 |
| Warren County, Virginia | 51187 | 0 | 1 | -1 |
| York County, Virginia | 51199 | 0 | 39 | -39 |
| Alexandria City, Virginia | 51510 | 93 | 45 | 48 |
| Chesapeake City, Virginia | 51550 | 12 | 24 | -12 |
| Lynchburg City, Virginia | 51680 | 32 | 0 | 32 |
| Norfolk City, Virginia | 51710 | 85 | 5 | 80 |
| Portsmouth City, Virginia | 51740 | 6 | 0 | 6 |
| Richmond City, Virginia | 51760 | 0 | 42 | -42 |
| Suffolk City, Virginia | 51800 | 8 | 167 | -159 |
| Virginia Beach City, Virginia | 51810 | 56 | 240 | -184 |
| Williamsburg City, Virginia | 51830 | 0 | 30 | -30 |
| Winchester City, Virginia | 51840 | 0 | 9 | -9 |
| Benton County, Washington | 53005 | 28 | 40 | -12 |
| Clallam County, Washington | 53009 | 0 | 45 | -45 |
| Clark County, Washington | 53011 | 169 | 182 | -13 |
| Cowlitz County, Washington | 53015 | 212 | 16 | 196 |
| Douglas County, Washington | 53017 | 0 | 11 | -11 |
| Grays Harbor County, Washington | 53027 | 0 | 24 | -24 |
| Island County, Washington | 53029 | 58 | 50 | 8 |
| Jefferson County, Washington | 53031 | 0 | 47 | -47 |
| King County, Washington | 53033 | 1280 | 1249 | 31 |
| Kitsap County, Washington | 53035 | 26 | 240 | -214 |
| Lewis County, Washington | 53041 | 0 | 9 | -9 |
| Lincoln County, Washington | 53043 | 0 | 23 | -23 |
| Okanogan County, Washington | 53047 | 22 | 0 | 22 |
| Pacific County, Washington | 53049 | 60 | 0 | 60 |
| Pend Oreille County, Washington | 53051 | 0 | 9 | -9 |
| Pierce County, Washington | 53053 | 130 | 603 | -473 |
| San Juan County, Washington | 53055 | 0 | 35 | -35 |
| Skagit County, Washington | 53057 | 0 | 38 | -38 |
| Snohomish County, Washington | 53061 | 150 | 246 | -96 |
| Spokane County, Washington | 53063 | 124 | 268 | -144 |
| Thurston County, Washington | 53067 | 0 | 57 | -57 |
| Walla Walla County, Washington | 53071 | 0 | 131 | -131 |
| Whatcom County, Washington | 53073 | 81 | 359 | -278 |
| Whitman County, Washington | 53075 | 40 | 89 | -49 |
| Yakima County, Washington | 53077 | 0 | 10 | -10 |
| Barbour County, West Virginia | 54001 | 0 | 17 | -17 |
| Monongalia County, West Virginia | 54061 | 160 | 0 | 160 |
| Monroe County, West Virginia | 54063 | 0 | 27 | -27 |
| Ohio County, West Virginia | 54069 | 0 | 20 | -20 |
| Taylor County, West Virginia | 54091 | 0 | 2 | -2 |
| Brown County, Wisconsin | 55009 | 0 | 86 | -86 |
| Chippewa County, Wisconsin | 55017 | 0 | 19 | -19 |
| Columbia County, Wisconsin | 55021 | 6 | 0 | 6 |
| Dane County, Wisconsin | 55025 | 51 | 156 | -105 |
| Door County, Wisconsin | 55029 | 0 | 1 | -1 |
| Green Lake County, Wisconsin | 55047 | 23 | 0 | 23 |
| Juneau County, Wisconsin | 55057 | 0 | 4 | -4 |
| Kenosha County, Wisconsin | 55059 | 12 | 7 | 5 |
| Kewaunee County, Wisconsin | 55061 | 0 | 5 | -5 |
| La Crosse County, Wisconsin | 55063 | 0 | 17 | -17 |
| Milwaukee County, Wisconsin | 55079 | 15 | 96 | -81 |
| Monroe County, Wisconsin | 55081 | 0 | 4 | -4 |
| Oconto County, Wisconsin | 55083 | 59 | 0 | 59 |
| St. Croix County, Wisconsin | 55109 | 0 | 71 | -71 |
| Shawano County, Wisconsin | 55115 | 0 | 1 | -1 |
| Waukesha County, Wisconsin | 55133 | 36 | 0 | 36 |
| Winnebago County, Wisconsin | 55139 | 0 | 10 | -10 |
| Albany County, Wyoming | 56001 | 0 | 36 | -36 |
| Campbell County, Wyoming | 56005 | 8 | 0 | 8 |
| Fremont County, Wyoming | 56013 | 23 | 1 | 22 |
| Goshen County, Wyoming | 56015 | 10 | 0 | 10 |
| Hot Springs County, Wyoming | 56017 | 0 | 1 | -1 |
| Laramie County, Wyoming | 56021 | 0 | 6 | -6 |
| Sheridan County, Wyoming | 56033 | 0 | 5 | -5 |
| Teton County, Wyoming | 56039 | 0 | 7 | -7 |
| San Juan Municipio, Puerto Rico | 72127 | 113 | 0 | 113 |
| Danbury Town, Fairfield County, Connecticut | 0900118500 | 0 | 14 | -14 |
| Fairfield Town, Fairfield County, Connecticut | 0900126620 | 142 | 0 | 142 |
| Greenwich Town, Fairfield County, Connecticut | 0900133620 | 50 | 9 | 41 |
| Norwalk Town, Fairfield County, Connecticut | 0900156060 | 15 | 0 | 15 |
| Stamford Town, Fairfield County, Connecticut | 0900173070 | 8 | 13 | -5 |
| Enfield Town, Hartford County, Connecticut | 0900325990 | 0 | 42 | -42 |
| Manchester Town, Hartford County, Connecticut | 0900344700 | 15 | 0 | 15 |
| Windsor Town, Hartford County, Connecticut | 0900387000 | 16 | 0 | 16 |
| Milford Town, New Haven County, Connecticut | 0900947535 | 0 | 24 | -24 |
| New Haven Town, New Haven County, Connecticut | 0900952070 | 9 | 43 | -34 |
| Southbury Town, New Haven County, Connecticut | 0900969640 | 24 | 0 | 24 |
| Groton Town, New London County, Connecticut | 0901134250 | 46 | 10 | 36 |
| New London Town, New London County, Connecticut | 0901152350 | 0 | 13 | -13 |
| Mansfield Town, Tolland County, Connecticut | 0901344910 | 19 | 0 | 19 |
| Vernon Town, Tolland County, Connecticut | 0901378250 | 0 | 6 | -6 |
| Plainfield Town, Windham County, Connecticut | 0901559980 | 2 | 0 | 2 |
| Chapman Town, Aroostook County, Maine | 2300312000 | 0 | 9 | -9 |
| Fort Kent Town, Aroostook County, Maine | 2300325755 | 0 | 7 | -7 |
| Houlton Town, Aroostook County, Maine | 2300333980 | 0 | 2 | -2 |
| Portland City, Cumberland County, Maine | 2300560545 | 53 | 25 | 28 |
| Scarborough Town, Cumberland County, Maine | 2300566145 | 0 | 45 | -45 |
| Windham Town, Cumberland County, Maine | 2300586025 | 11 | 0 | 11 |
| Waterford Town, Oxford County, Maine | 2301780635 | 0 | 10 | -10 |
| Lubec Town, Washington County, Maine | 2302941610 | 0 | 3 | -3 |
| Pittsfield City, Berkshire County, Massachusetts | 2500353960 | 30 | 0 | 30 |
| Chilmark Town, Dukes County, Massachusetts | 2500713800 | 0 | 7 | -7 |
| Boxford Town, Essex County, Massachusetts | 2500907420 | 18 | 0 | 18 |
| Haverhill City, Essex County, Massachusetts | 2500929405 | 35 | 0 | 35 |
| Salisbury Town, Essex County, Massachusetts | 2500959245 | 0 | 29 | -29 |
| Whately Town, Franklin County, Massachusetts | 2501179110 | 0 | 5 | -5 |
| Chicopee City, Hampden County, Massachusetts | 2501313660 | 0 | 36 | -36 |
| Springfield City, Hampden County, Massachusetts | 2501367000 | 0 | 6 | -6 |
| West Springfield Town City, Hampden County, Massachusetts | 2501377890 | 0 | 23 | -23 |
| Amherst Town City, Hampshire County, Massachusetts | 2501501370 | 0 | 18 | -18 |
| Northampton City, Hampshire County, Massachusetts | 2501546330 | 15 | 0 | 15 |
| Cambridge City, Middlesex County, Massachusetts | 2501711000 | 93 | 56 | 37 |
| Dracut Town, Middlesex County, Massachusetts | 2501717475 | 0 | 28 | -28 |
| Lowell City, Middlesex County, Massachusetts | 2501737000 | 0 | 6 | -6 |
| Medford City, Middlesex County, Massachusetts | 2501739835 | 30 | 0 | 30 |
| Natick Town, Middlesex County, Massachusetts | 2501743895 | 62 | 30 | 32 |
| Newton City, Middlesex County, Massachusetts | 2501745560 | 9 | 7 | 2 |
| North Reading Town, Middlesex County, Massachusetts | 2501748955 | 0 | 6 | -6 |
| Reading Town, Middlesex County, Massachusetts | 2501756130 | 15 | 0 | 15 |
| Sherborn Town, Middlesex County, Massachusetts | 2501761380 | 16 | 0 | 16 |
| Tyngsborough Town, Middlesex County, Massachusetts | 2501771025 | 29 | 0 | 29 |
| Watertown Town City, Middlesex County, Massachusetts | 2501773440 | 6 | 0 | 6 |
| Dedham Town, Norfolk County, Massachusetts | 2502116495 | 0 | 15 | -15 |
| Franklin Town City, Norfolk County, Massachusetts | 2502125172 | 17 | 9 | 8 |
| Milton Town, Norfolk County, Massachusetts | 2502141690 | 0 | 25 | -25 |
| Quincy City, Norfolk County, Massachusetts | 2502155745 | 0 | 3 | -3 |
| Wellesley Town, Norfolk County, Massachusetts | 2502174175 | 0 | 19 | -19 |
| Hanover Town, Plymouth County, Massachusetts | 2502328285 | 0 | 166 | -166 |
| Norwell Town, Plymouth County, Massachusetts | 2502350145 | 37 | 0 | 37 |
| West Bridgewater Town, Plymouth County, Massachusetts | 2502375260 | 0 | 7 | -7 |
| Boston City, Suffolk County, Massachusetts | 2502507000 | 456 | 280 | 176 |
| Winthrop Town City, Suffolk County, Massachusetts | 2502581005 | 65 | 41 | 24 |
| Athol Town, Worcester County, Massachusetts | 2502702480 | 0 | 8 | -8 |
| Leominster City, Worcester County, Massachusetts | 2502735075 | 8 | 0 | 8 |
| Worcester City, Worcester County, Massachusetts | 2502782000 | 15 | 59 | -44 |
| Plainwell City, Allegan County, Michigan | 2600564740 | 15 | 0 | 15 |
| Baraga Township, Baraga County, Michigan | 2601305340 | 37 | 0 | 37 |
| Oronoko Charter Township, Berrien County, Michigan | 2602161180 | 0 | 4 | -4 |
| St. Joseph City, Berrien County, Michigan | 2602170960 | 0 | 23 | -23 |
| Butler Township, Branch County, Michigan | 2602312140 | 9 | 0 | 9 |
| Bath Charter Township, Clinton County, Michigan | 2603705900 | 100 | 0 | 100 |
| Felch Township, Dickinson County, Michigan | 2604327660 | 0 | 4 | -4 |
| Flint Charter Township, Genesee County, Michigan | 2604929020 | 0 | 3 | -3 |
| Green Lake Township, Grand Traverse County, Michigan | 2605534960 | 41 | 0 | 41 |
| Hillsdale City, Hillsdale County, Michigan | 2605938460 | 0 | 11 | -11 |
| Lansing City, Ingham County, Michigan | 2606546000 | 38 | 0 | 38 |
| Mastodon Township, Iron County, Michigan | 2607152300 | 0 | 4 | -4 |
| Mount Pleasant City, Isabella County, Michigan | 2607356020 | 31 | 5 | 26 |
| Sherman Township, Isabella County, Michigan | 2607373200 | 0 | 6 | -6 |
| Jackson City, Jackson County, Michigan | 2607541420 | 0 | 4 | -4 |
| Spring Arbor Township, Jackson County, Michigan | 2607575640 | 0 | 8 | -8 |
| Kalamazoo City, Kalamazoo County, Michigan | 2607742160 | 0 | 34 | -34 |
| Schoolcraft Township, Kalamazoo County, Michigan | 2607771880 | 0 | 32 | -32 |
| Putnam Township, Livingston County, Michigan | 2609366540 | 0 | 14 | -14 |
| Moran Township, Mackinac County, Michigan | 2609755480 | 0 | 22 | -22 |
| Armada Township, Macomb County, Michigan | 2609903540 | 0 | 5 | -5 |
| Chesterfield Township, Macomb County, Michigan | 2609915340 | 20 | 0 | 20 |
| Clinton Charter Township, Macomb County, Michigan | 2609916520 | 0 | 15 | -15 |
| Skandia Township, Marquette County, Michigan | 2610374110 | 0 | 2 | -2 |
| Greenville City, Montcalm County, Michigan | 2611735100 | 0 | 12 | -12 |
| Birmingham City, Oakland County, Michigan | 2612508640 | 31 | 0 | 31 |
| Commerce Charter Township, Oakland County, Michigan | 2612517640 | 26 | 0 | 26 |
| Ferndale City, Oakland County, Michigan | 2612527880 | 12 | 0 | 12 |
| Huntington Woods City, Oakland County, Michigan | 2612540000 | 26 | 0 | 26 |
| Independence Charter Township, Oakland County, Michigan | 2612540400 | 216 | 9 | 207 |
| Lathrup Village City, Oakland County, Michigan | 2612546320 | 0 | 16 | -16 |
| Madison Heights City, Oakland County, Michigan | 2612550560 | 0 | 46 | -46 |
| Novi City, Oakland County, Michigan | 2612559440 | 0 | 53 | -53 |
| Oakland Charter Township, Oakland County, Michigan | 2612559820 | 0 | 10 | -10 |
| Troy City, Oakland County, Michigan | 2612580700 | 0 | 21 | -21 |
| West Bloomfield Charter Township, Oakland County, Michigan | 2612585480 | 0 | 27 | -27 |
| White Lake Charter Township, Oakland County, Michigan | 2612586860 | 13 | 0 | 13 |
| Thomas Township, Saginaw County, Michigan | 2614579520 | 15 | 0 | 15 |
| Pine Grove Township, Van Buren County, Michigan | 2615964280 | 0 | 6 | -6 |
| Ann Arbor City, Washtenaw County, Michigan | 2616103000 | 20 | 132 | -112 |
| Ypsilanti City, Washtenaw County, Michigan | 2616189140 | 0 | 15 | -15 |
| Detroit City, Wayne County, Michigan | 2616322000 | 87 | 0 | 87 |
| Huron Charter Township, Wayne County, Michigan | 2616340040 | 0 | 110 | -110 |
| Livonia City, Wayne County, Michigan | 2616349000 | 0 | 12 | -12 |
| Northville Township, Wayne County, Michigan | 2616359000 | 6 | 0 | 6 |
| Plymouth City, Wayne County, Michigan | 2616365060 | 33 | 0 | 33 |
| Romulus City, Wayne County, Michigan | 2616369420 | 0 | 8 | -8 |
| Taylor City, Wayne County, Michigan | 2616379000 | 0 | 26 | -26 |
| Mankato City, Blue Earth County, Minnesota | 2701339878 | 37 | 0 | 37 |
| Thomson Township, Carlton County, Minnesota | 2701764768 | 0 | 7 | -7 |
| Apple Valley City, Dakota County, Minnesota | 2703701900 | 0 | 10 | -10 |
| Burnsville City, Dakota County, Minnesota | 2703708794 | 16 | 45 | -29 |
| Eagan City, Dakota County, Minnesota | 2703717288 | 0 | 9 | -9 |
| Hastings City, Dakota County, Minnesota | 2703727530 | 0 | 1 | -1 |
| Lakeville City, Dakota County, Minnesota | 2703735180 | 20 | 18 | 2 |
| Brooklyn Center City, Hennepin County, Minnesota | 2705307948 | 0 | 1 | -1 |
| Eden Prairie City, Hennepin County, Minnesota | 2705318116 | 44 | 132 | -88 |
| Hopkins City, Hennepin County, Minnesota | 2705330140 | 39 | 0 | 39 |
| Maple Grove City, Hennepin County, Minnesota | 2705340166 | 276 | 0 | 276 |
| Minneapolis City, Hennepin County, Minnesota | 2705343000 | 180 | 274 | -94 |
| Mound City, Hennepin County, Minnesota | 2705344476 | 0 | 46 | -46 |
| Shorewood City, Hennepin County, Minnesota | 2705360016 | 7 | 0 | 7 |
| Woodland City, Hennepin County, Minnesota | 2705371500 | 0 | 4 | -4 |
| Nevis Township, Hubbard County, Minnesota | 2705745358 | 0 | 10 | -10 |
| Harris Township, Itasca County, Minnesota | 2706127296 | 0 | 4 | -4 |
| Willmar City, Kandiyohi County, Minnesota | 2706770420 | 0 | 28 | -28 |
| Winsted City, McLeod County, Minnesota | 2708571086 | 29 | 0 | 29 |
| Little Falls City, Morrison County, Minnesota | 2709737556 | 2 | 0 | 2 |
| Austin City, Mower County, Minnesota | 2709902908 | 0 | 15 | -15 |
| St. Peter City, Nicollet County, Minnesota | 2710358036 | 0 | 26 | -26 |
| Leaf Mountain Township, Otter Tail County, Minnesota | 2711136008 | 0 | 2 | -2 |
| Holland City, Pipestone County, Minnesota | 2711729618 | 12 | 0 | 12 |
| Falcon Heights City, Ramsey County, Minnesota | 2712320420 | 0 | 7 | -7 |
| Roseville City, Ramsey County, Minnesota | 2712355852 | 0 | 18 | -18 |
| St. Anthony City, Ramsey County, Minnesota | 2712356680 | 0 | 5 | -5 |
| St. Paul City, Ramsey County, Minnesota | 2712358000 | 60 | 38 | 22 |
| Northfield City, Rice County, Minnesota | 2713146924 | 0 | 20 | -20 |
| Duluth City, St. Louis County, Minnesota | 2713717000 | 0 | 96 | -96 |
| Embarrass Township, St. Louis County, Minnesota | 2713719232 | 0 | 6 | -6 |
| St. Cloud City, Sherburne County, Minnesota | 2714156896 | 50 | 0 | 50 |
| Krain Township, Stearns County, Minnesota | 2714533722 | 0 | 5 | -5 |
| Grant City, Washington County, Minnesota | 2716325334 | 21 | 0 | 21 |
| Woodbury City, Washington County, Minnesota | 2716371428 | 26 | 0 | 26 |
| Hanley Falls City, Yellow Medicine County, Minnesota | 2717326972 | 0 | 1 | -1 |
| Hanover Town, Grafton County, New Hampshire | 3300933860 | 0 | 17 | -17 |
| Lebanon City, Grafton County, New Hampshire | 3300941300 | 52 | 17 | 35 |
| Plymouth Town, Grafton County, New Hampshire | 3300962660 | 0 | 6 | -6 |
| Bedford Town, Hillsborough County, New Hampshire | 3301104500 | 20 | 0 | 20 |
| Manchester City, Hillsborough County, New Hampshire | 3301145140 | 34 | 0 | 34 |
| Concord City, Merrimack County, New Hampshire | 3301314200 | 29 | 0 | 29 |
| Portsmouth City, Rockingham County, New Hampshire | 3301562900 | 30 | 0 | 30 |
| Edgewater Borough, Bergen County, New Jersey | 3400320020 | 14 | 12 | 2 |
| Fort Lee Borough, Bergen County, New Jersey | 3400324420 | 14 | 0 | 14 |
| Hackensack City, Bergen County, New Jersey | 3400328680 | 0 | 59 | -59 |
| Lodi Borough, Bergen County, New Jersey | 3400341100 | 35 | 0 | 35 |
| Oradell Borough, Bergen County, New Jersey | 3400354990 | 0 | 59 | -59 |
| Park Ridge Borough, Bergen County, New Jersey | 3400356130 | 6 | 0 | 6 |
| Ramsey Borough, Bergen County, New Jersey | 3400361680 | 34 | 0 | 34 |
| New Hanover Township, Burlington County, New Jersey | 3400551510 | 4 | 0 | 4 |
| Voorhees Township, Camden County, New Jersey | 3400776220 | 0 | 11 | -11 |
| Montclair Township, Essex County, New Jersey | 3401347500 | 35 | 0 | 35 |
| Newark City, Essex County, New Jersey | 3401351000 | 0 | 9 | -9 |
| Hoboken City, Hudson County, New Jersey | 3401732250 | 0 | 74 | -74 |
| Jersey City City, Hudson County, New Jersey | 3401736000 | 7 | 58 | -51 |
| North Bergen Township, Hudson County, New Jersey | 3401752470 | 8 | 0 | 8 |
| West New York Town, Hudson County, New Jersey | 3401779610 | 13 | 0 | 13 |
| Lawrence Township, Mercer County, New Jersey | 3402139510 | 0 | 21 | -21 |
| Princeton, Mercer County, New Jersey | 3402160900 | 0 | 51 | -51 |
| West Windsor Township, Mercer County, New Jersey | 3402180240 | 15 | 0 | 15 |
| Dunellen Borough, Middlesex County, New Jersey | 3402318490 | 11 | 0 | 11 |
| Edison Township, Middlesex County, New Jersey | 3402320230 | 23 | 0 | 23 |
| Piscataway Township, Middlesex County, New Jersey | 3402359010 | 8 | 0 | 8 |
| Sayreville Borough, Middlesex County, New Jersey | 3402365790 | 0 | 33 | -33 |
| Woodbridge Township, Middlesex County, New Jersey | 3402382000 | 0 | 18 | -18 |
| Asbury Park City, Monmouth County, New Jersey | 3402501960 | 16 | 0 | 16 |
| Belmar Borough, Monmouth County, New Jersey | 3402504930 | 14 | 0 | 14 |
| Long Branch City, Monmouth County, New Jersey | 3402541310 | 0 | 55 | -55 |
| Marlboro Township, Monmouth County, New Jersey | 3402544070 | 390 | 0 | 390 |
| Boonton Township, Morris County, New Jersey | 3402706640 | 393 | 0 | 393 |
| Chester Township, Morris County, New Jersey | 3402712610 | 0 | 15 | -15 |
| Florham Park Borough, Morris County, New Jersey | 3402723910 | 0 | 6 | -6 |
| Hanover Township, Morris County, New Jersey | 3402729550 | 0 | 7 | -7 |
| Madison Borough, Morris County, New Jersey | 3402742510 | 0 | 11 | -11 |
| Parsippany-Troy Hills Township, Morris County, New Jersey | 3402756460 | 8 | 20 | -12 |
| Randolph Township, Morris County, New Jersey | 3402761890 | 29 | 0 | 29 |
| Rockaway Borough, Morris County, New Jersey | 3402764050 | 16 | 0 | 16 |
| Lakewood Township, Ocean County, New Jersey | 3402938550 | 0 | 2 | -2 |
| Pine Beach Borough, Ocean County, New Jersey | 3402958590 | 0 | 3 | -3 |
| Somerville Borough, Somerset County, New Jersey | 3403568460 | 0 | 21 | -21 |
| Frankford Township, Sussex County, New Jersey | 3403724810 | 0 | 10 | -10 |
| Hardyston Township, Sussex County, New Jersey | 3403729850 | 33 | 0 | 33 |
| Cranford Township, Union County, New Jersey | 3403915640 | 0 | 11 | -11 |
| Hillside Township, Union County, New Jersey | 3403931980 | 27 | 0 | 27 |
| Roselle Park Borough, Union County, New Jersey | 3403964650 | 5 | 0 | 5 |
| Albany City, Albany County, New York | 3600101000 | 0 | 21 | -21 |
| Bethlehem Town, Albany County, New York | 3600106354 | 96 | 0 | 96 |
| Guilderland Town, Albany County, New York | 3600131104 | 4 | 0 | 4 |
| Bronx Borough, Bronx County, New York | 3600508510 | 0 | 109 | -109 |
| Binghamton City, Broome County, New York | 3600706607 | 45 | 0 | 45 |
| Elmira City, Chemung County, New York | 3601524229 | 0 | 7 | -7 |
| Beekman Town, Dutchess County, New York | 3602705452 | 0 | 27 | -27 |
| Hyde Park Town, Dutchess County, New York | 3602737209 | 0 | 24 | -24 |
| Pawling Town, Dutchess County, New York | 3602756825 | 13 | 0 | 13 |
| Poughkeepsie Town, Dutchess County, New York | 3602759652 | 0 | 8 | -8 |
| Red Hook Town, Dutchess County, New York | 3602760905 | 0 | 1 | -1 |
| Amherst Town, Erie County, New York | 3602902000 | 85 | 0 | 85 |
| Buffalo City, Erie County, New York | 3602911000 | 35 | 0 | 35 |
| Orchard Park Town, Erie County, New York | 3602955277 | 0 | 8 | -8 |
| Le Ray Town, Jefferson County, New York | 3604542015 | 122 | 0 | 122 |
| Philadelphia Town, Jefferson County, New York | 3604557562 | 0 | 3 | -3 |
| Brooklyn Borough, Kings County, New York | 3604710022 | 413 | 194 | 219 |
| Brighton Town, Monroe County, New York | 3605508246 | 65 | 0 | 65 |
| Irondequoit Town, Monroe County, New York | 3605537726 | 29 | 0 | 29 |
| Perinton Town, Monroe County, New York | 3605557221 | 10 | 0 | 10 |
| Pittsford Town, Monroe County, New York | 3605558365 | 20 | 0 | 20 |
| Hempstead Town, Nassau County, New York | 3605934000 | 13 | 66 | -53 |
| Long Beach City, Nassau County, New York | 3605943335 | 0 | 11 | -11 |
| North Hempstead Town, Nassau County, New York | 3605953000 | 21 | 30 | -9 |
| Oyster Bay Town, Nassau County, New York | 3605956000 | 0 | 11 | -11 |
| Manhattan Borough, New York County, New York | 3606144919 | 705 | 533 | 172 |
| Porter Town, Niagara County, New York | 3606359267 | 0 | 3 | -3 |
| Clay Town, Onondaga County, New York | 3606716067 | 22 | 0 | 22 |
| Syracuse City, Onondaga County, New York | 3606773000 | 0 | 25 | -25 |
| Queens Borough, Queens County, New York | 3608160323 | 232 | 9 | 223 |
| Troy City, Rensselaer County, New York | 3608375484 | 0 | 53 | -53 |
| Orangetown Town, Rockland County, New York | 3608755211 | 0 | 15 | -15 |
| Clifton Park Town, Saratoga County, New York | 3609116353 | 0 | 3 | -3 |
| Schenectady City, Schenectady County, New York | 3609365508 | 13 | 0 | 13 |
| Brookhaven Town, Suffolk County, New York | 3610310000 | 0 | 13 | -13 |
| Huntington Town, Suffolk County, New York | 3610337000 | 0 | 58 | -58 |
| Ithaca City, Tompkins County, New York | 3610938077 | 0 | 13 | -13 |
| Ithaca Town, Tompkins County, New York | 3610938088 | 0 | 14 | -14 |
| Lansing Town, Tompkins County, New York | 3610941234 | 0 | 48 | -48 |
| Greenburgh Town, Westchester County, New York | 3611930367 | 0 | 40 | -40 |
| Harrison Town, Westchester County, New York | 3611932413 | 0 | 13 | -13 |
| Mount Pleasant Town, Westchester County, New York | 3611949011 | 21 | 0 | 21 |
| New Rochelle City, Westchester County, New York | 3611950617 | 40 | 7 | 33 |
| Rye Town, Westchester County, New York | 3611964320 | 22 | 0 | 22 |
| White Plains City, Westchester County, New York | 3611981677 | 0 | 75 | -75 |
| Yonkers City, Westchester County, New York | 3611984000 | 15 | 4 | 11 |
| Cumberland Township, Adams County, Pennsylvania | 4200117640 | 0 | 8 | -8 |
| Bethel Park municipality, Allegheny County, Pennsylvania | 4200306064 | 32 | 0 | 32 |
| Braddock Hills Borough, Allegheny County, Pennsylvania | 4200308008 | 0 | 5 | -5 |
| Lincoln Borough, Allegheny County, Pennsylvania | 4200343408 | 0 | 3 | -3 |
| Moon Township, Allegheny County, Pennsylvania | 4200350784 | 0 | 81 | -81 |
| O'Hara Township, Allegheny County, Pennsylvania | 4200356384 | 0 | 9 | -9 |
| Pittsburgh City, Allegheny County, Pennsylvania | 4200361000 | 96 | 20 | 76 |
| Scott Township, Allegheny County, Pennsylvania | 4200368388 | 0 | 33 | -33 |
| Rochester Township, Beaver County, Pennsylvania | 4200765400 | 0 | 15 | -15 |
| Reading City, Berks County, Pennsylvania | 4201163624 | 42 | 22 | 20 |
| Robeson Township, Berks County, Pennsylvania | 4201165320 | 58 | 0 | 58 |
| Spring Township, Berks County, Pennsylvania | 4201172824 | 0 | 10 | -10 |
| Buckingham Township, Bucks County, Pennsylvania | 4201709816 | 0 | 5 | -5 |
| Hilltown Township, Bucks County, Pennsylvania | 4201734952 | 114 | 0 | 114 |
| Langhorne Manor Borough, Bucks County, Pennsylvania | 4201741416 | 0 | 14 | -14 |
| Middletown Township, Bucks County, Pennsylvania | 4201749120 | 14 | 0 | 14 |
| Penndel Borough, Bucks County, Pennsylvania | 4201758936 | 0 | 6 | -6 |
| Perkasie Borough, Bucks County, Pennsylvania | 4201759384 | 0 | 15 | -15 |
| Richland Township, Bucks County, Pennsylvania | 4201764536 | 29 | 0 | 29 |
| Upper Southampton Township, Bucks County, Pennsylvania | 4201779296 | 0 | 17 | -17 |
| Patton Township, Centre County, Pennsylvania | 4202758440 | 46 | 0 | 46 |
| State College Borough, Centre County, Pennsylvania | 4202773808 | 14 | 19 | -5 |
| Easttown Township, Chester County, Pennsylvania | 4202921928 | 37 | 0 | 37 |
| West Bradford Township, Chester County, Pennsylvania | 4202982544 | 71 | 0 | 71 |
| West Goshen Township, Chester County, Pennsylvania | 4202983080 | 0 | 19 | -19 |
| West Nantmeal Township, Chester County, Pennsylvania | 4202983664 | 67 | 0 | 67 |
| West Nottingham Township, Chester County, Pennsylvania | 4202983712 | 0 | 79 | -79 |
| Main Township, Columbia County, Pennsylvania | 4203746688 | 0 | 3 | -3 |
| Scott Township, Columbia County, Pennsylvania | 4203768392 | 0 | 7 | -7 |
| Meadville City, Crawford County, Pennsylvania | 4203948360 | 0 | 35 | -35 |
| North Middleton Township, Cumberland County, Pennsylvania | 4204155216 | 0 | 16 | -16 |
| Silver Spring Township, Cumberland County, Pennsylvania | 4204170792 | 0 | 66 | -66 |
| Harrisburg City, Dauphin County, Pennsylvania | 4204332800 | 55 | 0 | 55 |
| Susquehanna Township, Dauphin County, Pennsylvania | 4204375528 | 0 | 24 | -24 |
| Radnor Township, Delaware County, Pennsylvania | 4204563264 | 0 | 22 | -22 |
| Swarthmore Borough, Delaware County, Pennsylvania | 4204575648 | 0 | 5 | -5 |
| Upper Providence Township, Delaware County, Pennsylvania | 4204579248 | 0 | 23 | -23 |
| St. Marys City, Elk County, Pennsylvania | 4204767344 | 19 | 0 | 19 |
| Harborcreek Township, Erie County, Pennsylvania | 4204932520 | 0 | 6 | -6 |
| Elizabethtown Borough, Lancaster County, Pennsylvania | 4207123016 | 14 | 0 | 14 |
| Ephrata Township, Lancaster County, Pennsylvania | 4207123840 | 0 | 18 | -18 |
| Allentown City, Lehigh County, Pennsylvania | 4207702000 | 7 | 0 | 7 |
| South Whitehall Township, Lehigh County, Pennsylvania | 4207772632 | 14 | 0 | 14 |
| Upper Saucon Township, Lehigh County, Pennsylvania | 4207779288 | 0 | 69 | -69 |
| Rice Township, Luzerne County, Pennsylvania | 4207964424 | 0 | 57 | -57 |
| Franklin Township, Lycoming County, Pennsylvania | 4208127432 | 0 | 11 | -11 |
| Hughesville Borough, Lycoming County, Pennsylvania | 4208136160 | 0 | 10 | -10 |
| East Lackawannock Township, Mercer County, Pennsylvania | 4208521336 | 0 | 2 | -2 |
| Cheltenham Township, Montgomery County, Pennsylvania | 4209112968 | 19 | 22 | -3 |
| Green Lane Borough, Montgomery County, Pennsylvania | 4209131088 | 0 | 12 | -12 |
| Hatfield Township, Montgomery County, Pennsylvania | 4209133120 | 162 | 0 | 162 |
| Lower Gwynedd Township, Montgomery County, Pennsylvania | 4209144920 | 10 | 0 | 10 |
| Lower Merion Township, Montgomery County, Pennsylvania | 4209144976 | 0 | 34 | -34 |
| Lower Pottsgrove Township, Montgomery County, Pennsylvania | 4209145072 | 6 | 0 | 6 |
| Lower Providence Township, Montgomery County, Pennsylvania | 4209145080 | 0 | 10 | -10 |
| Salford Township, Montgomery County, Pennsylvania | 4209167528 | 10 | 0 | 10 |
| Upper Dublin Township, Montgomery County, Pennsylvania | 4209179008 | 10 | 0 | 10 |
| West Conshohocken Borough, Montgomery County, Pennsylvania | 4209182736 | 0 | 3 | -3 |
| Whitemarsh Township, Montgomery County, Pennsylvania | 4209184624 | 32 | 0 | 32 |
| Whitpain Township, Montgomery County, Pennsylvania | 4209184888 | 45 | 0 | 45 |
| Bethlehem City, Northampton County, Pennsylvania | 4209506088 | 0 | 7 | -7 |
| Bethlehem Township, Northampton County, Pennsylvania | 4209506096 | 42 | 0 | 42 |
| Philadelphia City, Philadelphia County, Pennsylvania | 4210160000 | 310 | 112 | 198 |
| Jackson Township, Tioga County, Pennsylvania | 4211737472 | 0 | 9 | -9 |
| Lewisburg Borough, Union County, Pennsylvania | 4211942976 | 0 | 18 | -18 |
| Union Township, Union County, Pennsylvania | 4211978424 | 0 | 1 | -1 |
| California Borough, Washington County, Pennsylvania | 4212510768 | 64 | 0 | 64 |
| Coal Center Borough, Washington County, Pennsylvania | 4212514568 | 0 | 1 | -1 |
| Coventry Town, Kent County, Rhode Island | 4400318640 | 28 | 0 | 28 |
| Warwick City, Kent County, Rhode Island | 4400374300 | 27 | 0 | 27 |
| Newport City, Newport County, Rhode Island | 4400549960 | 48 | 0 | 48 |
| Central Falls City, Providence County, Rhode Island | 4400714140 | 0 | 16 | -16 |
| Providence City, Providence County, Rhode Island | 4400759000 | 0 | 16 | -16 |
| Smithfield Town, Providence County, Rhode Island | 4400766200 | 0 | 12 | -12 |
| North Kingstown Town, Washington County, Rhode Island | 4400951580 | 9 | 0 | 9 |
| Middlebury Town, Addison County, Vermont | 5000144350 | 6 | 4 | 2 |
| Colchester Town, Chittenden County, Vermont | 5000714875 | 23 | 0 | 23 |
| Essex Town, Chittenden County, Vermont | 5000724175 | 0 | 47 | -47 |
| Sheldon Town, Franklin County, Vermont | 5001164600 | 0 | 6 | -6 |
| South Hero Town, Grand Isle County, Vermont | 5001367000 | 0 | 43 | -43 |
| Bellevue Village, Brown County, Wisconsin | 5500906350 | 0 | 45 | -45 |
| De Pere City, Brown County, Wisconsin | 5500919775 | 0 | 41 | -41 |
| Chippewa Falls City, Chippewa County, Wisconsin | 5501714575 | 0 | 19 | -19 |
| Lodi Town, Columbia County, Wisconsin | 5502145375 | 6 | 0 | 6 |
| Black Earth Town, Dane County, Wisconsin | 5502507825 | 0 | 4 | -4 |
| Fitchburg City, Dane County, Wisconsin | 5502525950 | 0 | 18 | -18 |
| Madison City, Dane County, Wisconsin | 5502548000 | 51 | 134 | -83 |
| Egg Harbor Town, Door County, Wisconsin | 5502922875 | 0 | 1 | -1 |
| Brooklyn Town, Green Lake County, Wisconsin | 5504710125 | 23 | 0 | 23 |
| Orange Town, Juneau County, Wisconsin | 5505760150 | 0 | 4 | -4 |
| Kenosha City, Kenosha County, Wisconsin | 5505939225 | 12 | 7 | 5 |
| Montpelier Town, Kewaunee County, Wisconsin | 5506154050 | 0 | 5 | -5 |
| Shelby Town, La Crosse County, Wisconsin | 5506373125 | 0 | 17 | -17 |
| Cudahy City, Milwaukee County, Wisconsin | 5507917975 | 0 | 16 | -16 |
| Milwaukee City, Milwaukee County, Wisconsin | 5507953000 | 15 | 29 | -14 |
| Wauwatosa City, Milwaukee County, Wisconsin | 5507984675 | 0 | 51 | -51 |
| Lafayette Town, Monroe County, Wisconsin | 5508140925 | 0 | 4 | -4 |
| Oconto City, Oconto County, Wisconsin | 5508359350 | 59 | 0 | 59 |
| Hudson Town, St. Croix County, Wisconsin | 5510936275 | 0 | 31 | -31 |
| New Richmond City, St. Croix County, Wisconsin | 5510957100 | 0 | 29 | -29 |
| River Falls City, St. Croix County, Wisconsin | 5510968275 | 0 | 11 | -11 |
| Bartelme Town, Shawano County, Wisconsin | 5511505000 | 0 | 1 | -1 |
| Pewaukee City, Waukesha County, Wisconsin | 5513362240 | 36 | 0 | 36 |
| Oshkosh City, Winnebago County, Wisconsin | 5513960500 | 0 | 10 | -10 |
| GENERAL DEMOGRAPHIC CHARACTERISTICS (DP1) | ItemCode | County Estimate | County Percent | U.S. Estimate | U.S. Percent |
| SEX AND AGE | |||||
| .Total population | D001 | 3,167,809 | 100.0 | 331,893,745 | 100.0 |
| ..Male | D002 | 1,571,063 | 49.6 | 164,350,703 | 49.5 |
| ..Female | D003 | 1,596,746 | 50.4 | 167,543,042 | 50.5 |
| ..Sex ratio (males per 100 females) | D004 | 98.4 | 98.1 | ||
| ..Under 5 years | D005 | 172,756 | 5.5 | 18,661,245 | 5.6 |
| ..5 to 9 years | D006 | 180,665 | 5.7 | 20,010,813 | 6.0 |
| ..10 to 14 years | D007 | 202,037 | 6.4 | 21,821,492 | 6.6 |
| ..15 to 19 years | D008 | 202,800 | 6.4 | 21,824,088 | 6.6 |
| ..20 to 24 years | D009 | 197,094 | 6.2 | 21,382,643 | 6.4 |
| ..25 to 34 years | D010 | 450,255 | 14.2 | 45,079,138 | 13.6 |
| ..35 to 44 years | D011 | 417,528 | 13.2 | 43,733,561 | 13.2 |
| ..45 to 54 years | D012 | 429,400 | 13.6 | 40,673,717 | 12.3 |
| ..55 to 59 years | D013 | 221,474 | 7.0 | 21,141,152 | 6.4 |
| ..60 to 64 years | D014 | 195,394 | 6.2 | 21,673,882 | 6.5 |
| ..65 to 74 years | D015 | 290,310 | 9.2 | 33,778,204 | 10.2 |
| ..75 to 84 years | D016 | 146,230 | 4.6 | 16,151,137 | 4.9 |
| ..85 years and over | D017 | 61,866 | 2.0 | 5,962,673 | 1.8 |
| ..Median age (years) | D018 | 39.2 | 38.8 | ||
| ..Under 18 years | D019 | 679,361 | 21.4 | 73,475,278 | 22.1 |
| ..16 years and over | D020 | 2,573,809 | 81.2 | 267,057,693 | 80.5 |
| ..18 years and over | D021 | 2,488,448 | 78.6 | 258,418,467 | 77.9 |
| ..21 years and over | D022 | 2,369,471 | 74.8 | 245,143,605 | 73.9 |
| ..62 years and over | D023 | 609,855 | 19.3 | 68,689,093 | 20.7 |
| ..65 years and over | D024 | 498,406 | 15.7 | 55,892,014 | 16.8 |
| ..18 years and over | D025 | 2,488,448 | 100.0 | 258,418,467 | 100.0 |
| ...Male | D026 | 1,222,904 | 49.1 | 126,690,177 | 49.0 |
| ...Female | D027 | 1,265,544 | 50.9 | 131,728,290 | 51.0 |
| ...Sex ratio (males per 100 females) | D028 | 96.6 | 96.2 | ||
| ..65 years and over | D029 | 498,406 | 100.0 | 55,892,014 | 100.0 |
| ...Male | D030 | 224,428 | 45.0 | 25,191,742 | 45.1 |
| ...Female | D031 | 273,978 | 55.0 | 30,700,272 | 54.9 |
| ...Sex ratio (males per 100 females) | D032 | 81.9 | 82.1 | ||
| RACE | |||||
| .Total population | D033 | 3,167,809 | 100.0 | 331,893,745 | 100.0 |
| ..One race | D034 | 2,648,761 | 83.6 | 290,007,306 | 87.4 |
| ..Two or more races | D035 | 519,048 | 16.4 | 41,886,439 | 12.6 |
| ..One race | D036 | 2,648,761 | 83.6 | 290,007,306 | 87.4 |
| ...White | D037 | 1,361,528 | 43.0 | 202,981,791 | 61.2 |
| ...Black or African American | D038 | 57,685 | 1.8 | 40,194,304 | 12.1 |
| ...American Indian and Alaska Native | D039 | 28,359 | 0.9 | 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 | 701,307 | 22.1 | 19,157,288 | 5.8 |
| ....Asian Indian | D045 | 63,873 | 2.0 | 4,402,223 | 1.3 |
| ....Chinese | D046 | 127,208 | 4.0 | 4,360,466 | 1.3 |
| ....Filipino | D047 | 85,814 | 2.7 | 2,960,811 | 0.9 |
| ....Japanese | D048 | 30,189 | 1.0 | 742,549 | 0.2 |
| ....Korean | D049 | 99,566 | 3.1 | 1,445,315 | 0.4 |
| ....Vietnamese | D050 | 230,166 | 7.3 | 1,896,690 | 0.6 |
| ....Other Asian | D051 | 64,491 | 2.0 | 3,349,234 | 1.0 |
| ...Native Hawaiian and Other Pacific Islander | D052 | 8,747 | 0.3 | 612,448 | 0.2 |
| ....Native Hawaiian | D053 | 1,305 | 0.0 | 185,391 | 0.1 |
| ....Guamanian or Chamorro | D054 | 1,109 | 0.0 | 68,757 | 0.0 |
| ....Samoan | D055 | 2,882 | 0.1 | 121,585 | 0.0 |
| ....Other Pacific Islander | D056 | 3,451 | 0.1 | 236,715 | 0.1 |
| ...Some other race | D057 | 491,135 | 15.5 | 23,902,781 | 7.2 |
| ..Two or more races | D058 | 519,048 | 16.4 | 41,886,439 | 12.6 |
| ...White and Black or African American | D059 | 12,787 | 0.4 | 3,569,990 | 1.1 |
| ...White and American Indian and Alaska Native | D060 | 16,027 | 0.5 | 3,212,437 | 1.0 |
| ...White and Asian | D061 | 67,647 | 2.1 | 2,773,539 | 0.8 |
| ...Black or African American and American Indian and Alaska Native | D062 | 1,544 | 0.0 | 462,571 | 0.1 |
| Race alone or in combination with one or more other races | |||||
| .Total population | D063 | 3,167,809 | 100.0 | 331,893,745 | 100.0 |
| ..White | D064 | 1,851,298 | 58.4 | 241,836,150 | 72.9 |
| ..Black or African American | D065 | 87,587 | 2.8 | 47,234,227 | 14.2 |
| ..American Indian and Alaska Native | D066 | 68,863 | 2.2 | 8,750,904 | 2.6 |
| ..Asian | D067 | 795,766 | 25.1 | 23,545,238 | 7.1 |
| ..Native Hawaiian and Other Pacific Islander | D068 | 21,465 | 0.7 | 1,541,118 | 0.5 |
| ..Some other race | D069 | 893,401 | 28.2 | 53,868,002 | 16.2 |
| HISPANIC OR LATINO AND RACE | |||||
| .Total population | D070 | 3,167,809 | 100.0 | 331,893,745 | 100.0 |
| ..Hispanic or Latino (of any race) | D071 | 1,080,593 | 34.1 | 62,529,064 | 18.8 |
| ...Mexican | D072 | 894,179 | 28.2 | 37,235,886 | 11.2 |
| ...Puerto Rican | D073 | 14,202 | 0.4 | 5,798,287 | 1.7 |
| ...Cuban | D074 | 8,817 | 0.3 | 2,400,152 | 0.7 |
| ...Other Hispanic or Latino | D075 | 163,395 | 5.2 | 17,094,739 | 5.2 |
| ..Not Hispanic or Latino | D076 | 2,087,216 | 65.9 | 269,364,681 | 81.2 |
| ...White alone | D077 | 1,191,185 | 37.6 | 192,753,887 | 58.1 |
| ...Black or African American alone | D078 | 52,572 | 1.7 | 39,269,297 | 11.8 |
| ...American Indian and Alaska Native alone | D079 | 3,615 | 0.1 | 1,749,871 | 0.5 |
| ...Asian alone | D080 | 693,396 | 21.9 | 18,889,050 | 5.7 |
| ...Native Hawaiian and Other Pacific Islander alone | D081 | 7,709 | 0.2 | 558,717 | 0.2 |
| ...Some other race alone | D082 | 13,003 | 0.4 | 1,845,426 | 0.6 |
| ...Two or more races | D083 | 125,736 | 4.0 | 14,298,433 | 4.3 |
| ....Two races including Some other race | D084 | 23,557 | 0.7 | 3,342,216 | 1.0 |
| ....Two races excluding Some other race, and Three or more races | D085 | 102,179 | 3.2 | 10,956,217 | 3.3 |
| .Total housing units | D086 | 1,139,043 | 100.0 | 142,148,050 | 100.0 |
| CITIZEN, VOTING AGE POPULATION | |||||
| .Citizen, 18 and over population | D087 | 2,111,203 | 100.0 | 239,035,960 | 100.0 |
| ..Male | D088 | 1,036,173 | 49.1 | 116,766,700 | 48.8 |
| ..Female | D089 | 1,075,030 | 50.9 | 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 | 1,077,193 | 100.0 | 127,544,730 | 100.0 |
| ..Married-couple family | S002 | 576,804 | 53.5 | 60,360,084 | 47.3 |
| ...With own children of the householder under 18 years | S003 | 232,093 | 21.5 | 22,870,106 | 17.9 |
| ..Cohabiting couple household | S004 | 68,813 | 6.4 | 9,195,007 | 7.2 |
| ...With own children of the householder under 18 years | S005 | 19,190 | 1.8 | 2,933,896 | 2.3 |
| ..Male householder, no spouse/partner present | S006 | 166,929 | 15.5 | 23,109,048 | 18.1 |
| ...With own children of the householder under 18 years | S007 | 11,453 | 1.1 | 1,572,727 | 1.2 |
| ...Householder living alone | S008 | 99,683 | 9.3 | 16,359,032 | 12.8 |
| ....65 years and over | S009 | 31,495 | 2.9 | 4,814,086 | 3.8 |
| ..Female householder, no spouse/partner present | S010 | 264,647 | 24.6 | 34,880,591 | 27.3 |
| ...With own children of the householder under 18 years | S011 | 42,912 | 4.0 | 6,253,443 | 4.9 |
| ...Householder living alone | S012 | 131,011 | 12.2 | 19,691,382 | 15.4 |
| ....65 years and over | S013 | 66,871 | 6.2 | 9,539,491 | 7.5 |
| ..Households with one or more people under 18 years | S014 | 346,337 | 32.2 | 37,661,807 | 29.5 |
| ..Households with one or more people 65 years and over | S015 | 343,524 | 31.9 | 39,884,869 | 31.3 |
| ..Average household size | S016 | 2.90 | 2.54 | ||
| ..Average family size | S017 | 3.41 | 3.15 | ||
| RELATIONSHIP | |||||
| .Population in households | S018 | 3,125,549 | 100.0 | 324,132,886 | 100.0 |
| ..Householder | S019 | 1,077,193 | 34.5 | 127,544,730 | 39.3 |
| ..Spouse | S020 | 576,209 | 18.4 | 60,303,729 | 18.6 |
| ..Unmarried partner | S021 | 69,372 | 2.2 | 9,251,322 | 2.9 |
| ..Child | S022 | 946,015 | 30.3 | 94,303,591 | 29.1 |
| ..Other relatives | S023 | 314,860 | 10.1 | 22,586,523 | 7.0 |
| ..Other nonrelatives | S024 | 141,900 | 4.5 | 10,142,991 | 3.1 |
| MARITAL STATUS | |||||
| .Males 15 years and over | S025 | 1,286,176 | 100.0 | 133,358,219 | 100.0 |
| ..Never married | S026 | 483,092 | 37.6 | 49,530,132 | 37.1 |
| ..Now married, except separated | S027 | 677,249 | 52.7 | 66,215,121 | 49.7 |
| ..Separated | S028 | 16,484 | 1.3 | 1,981,789 | 1.5 |
| ..Widowed | S029 | 24,745 | 1.9 | 3,411,896 | 2.6 |
| ..Divorced | S030 | 84,606 | 6.6 | 12,219,281 | 9.2 |
| .Females 15 years and over | S031 | 1,326,175 | 100.0 | 138,041,976 | 100.0 |
| ..Never married | S032 | 428,298 | 32.3 | 43,214,903 | 31.3 |
| ..Now married, except separated | S033 | 637,766 | 48.1 | 64,153,674 | 46.5 |
| ..Separated | S034 | 23,241 | 1.8 | 2,657,369 | 1.9 |
| ..Widowed | S035 | 91,490 | 6.9 | 11,416,414 | 8.3 |
| ..Divorced | S036 | 145,380 | 11.0 | 16,599,616 | 12.0 |
| FERTILITY | |||||
| .Number of women 15 to 50 years old who had a birth in the past 12 months | S037 | 34,497 | 100.0 | 3,922,188 | 100.0 |
| ..Unmarried women (widowed, divorced, and never married) | S038 | 6,439 | 18.7 | 1,242,288 | 31.7 |
| ...Per 1,000 unmarried women | S039 | 15 | -1.0 | 28 | -1.0 |
| ..Per 1,000 women 15 to 50 years old | S040 | 46 | -1.0 | 51 | -1.0 |
| ..Per 1,000 women 15 to 19 years old | S041 | 2 | -1.0 | 8 | -1.0 |
| ..Per 1,000 women 20 to 34 years old | S042 | 69 | -1.0 | 84 | -1.0 |
| ..Per 1,000 women 35 to 50 years old | S043 | 37 | -1.0 | 32 | -1.0 |
| GRANDPARENTS | |||||
| .Number of grandparents living with own grandchildren under 18 years | S044 | 87,713 | 100.0 | 6,658,830 | 100.0 |
| ..Grandparents responsible for grandchildren | S045 | 15,034 | 17.1 | 2,085,527 | 31.3 |
| ..Years responsible for grandchildren | |||||
| ...Less than 1 year | S046 | 3,557 | 4.1 | 315,750 | 4.7 |
| ...1 or 2 years | S047 | 2,205 | 2.5 | 402,768 | 6.0 |
| ...3 or 4 years | S048 | 2,657 | 3.0 | 338,613 | 5.1 |
| ...5 or more years | S049 | 6,615 | 7.5 | 1,028,396 | 15.4 |
| .Number of grandparents responsible for own grandchildren under 18 years | S050 | 15,034 | 100.0 | 2,085,527 | 100.0 |
| ..Who are female | S051 | 9,073 | 60.3 | 1,322,096 | 63.4 |
| ..Who are married | S052 | 10,305 | 68.5 | 1,396,788 | 67.0 |
| SCHOOL ENROLLMENT | |||||
| .Population 3 years and over enrolled in school | S053 | 809,683 | 100.0 | 79,453,524 | 100.0 |
| ..Nursery school, preschool | S054 | 43,447 | 5.4 | 4,095,935 | 5.2 |
| ..Kindergarten | S055 | 33,148 | 4.1 | 4,011,805 | 5.0 |
| ..Elementary school (grades 1-8) | S056 | 297,735 | 36.8 | 32,855,519 | 41.4 |
| ..High school (grades 9-12) | S057 | 166,988 | 20.6 | 17,293,504 | 21.8 |
| ..College or graduate school | S058 | 268,365 | 33.1 | 21,196,761 | 26.7 |
| EDUCATIONAL ATTAINMENT | |||||
| .Population 25 years and over | S059 | 2,212,457 | 100.0 | 228,193,464 | 100.0 |
| ..Less than 9th grade | S060 | 154,500 | 7.0 | 10,860,370 | 4.8 |
| ..9th to 12th grade, no diploma | S061 | 126,092 | 5.7 | 13,412,111 | 5.9 |
| ..High school graduate (includes equivalency) | S062 | 384,709 | 17.4 | 59,996,344 | 26.3 |
| ..Some college, no degree | S063 | 422,969 | 19.1 | 44,048,941 | 19.3 |
| ..Associate's degree | S064 | 169,883 | 7.7 | 19,972,235 | 8.8 |
| ..Bachelor's degree | S065 | 592,907 | 26.8 | 48,482,060 | 21.2 |
| ..Graduate or professional degree | S066 | 361,397 | 16.3 | 31,421,403 | 13.8 |
| ..High school graduate or higher | S067 | 1,931,865 | 87.3 | 203,920,983 | 89.4 |
| ..Bachelor's degree or higher | S068 | 954,304 | 43.1 | 79,903,463 | 35.0 |
| VETERAN STATUS | |||||
| .Civilian population 18 years and over | S069 | 2,485,471 | 100.0 | 257,083,784 | 100.0 |
| ..Civilian veterans | S070 | 90,794 | 3.7 | 16,501,502 | 6.4 |
| DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION | |||||
| .Total Civilian Noninstitutionalized Population | S071 | 3,151,798 | 100.0 | 326,912,547 | 100.0 |
| ..With a disability | S072 | 276,827 | 8.8 | 42,485,034 | 13.0 |
| .Under 18 years | S073 | 678,132 | 100.0 | 73,357,731 | 100.0 |
| ..With a disability | S074 | 20,140 | 3.0 | 3,399,376 | 4.6 |
| .18 to 64 years | S075 | 1,980,495 | 100.0 | 198,812,874 | 100.0 |
| ..With a disability | S076 | 121,076 | 6.1 | 21,246,505 | 10.7 |
| .65 years and over | S077 | 493,171 | 100.0 | 54,741,942 | 100.0 |
| ..With a disability | S078 | 135,611 | 27.5 | 17,839,153 | 32.6 |
| RESIDENCE 1 YEAR AGO | |||||
| .Population 1 year and over | S079 | 3,135,054 | 100.0 | 328,464,538 | 100.0 |
| ..Same house | S080 | 2,748,789 | 87.7 | 286,552,923 | 87.2 |
| ..Different house in the U.S. or abroad | S081 | 386,265 | 12.3 | 41,911,615 | 12.8 |
| ..Different house in the U.S. | S082 | 367,617 | 11.7 | 40,436,958 | 12.3 |
| ...Same county | S083 | 240,214 | 7.7 | 21,878,668 | 6.7 |
| ...Different county | S084 | 127,403 | 4.1 | 18,558,290 | 5.7 |
| ....Same state | S085 | 92,485 | 3.0 | 10,698,453 | 3.3 |
| ....Different state | S086 | 34,918 | 1.1 | 7,859,837 | 2.4 |
| ..Abroad | S087 | 18,648 | 0.6 | 1,474,657 | 0.4 |
| PLACE OF BIRTH | |||||
| .Total population | S088 | 3,167,809 | 100.0 | 331,893,745 | 100.0 |
| ..Native | S089 | 2,206,171 | 69.6 | 286,623,642 | 86.4 |
| ...Born in United States | S090 | 2,149,641 | 67.9 | 281,070,671 | 84.7 |
| ....State of residence | S091 | 1,671,633 | 52.8 | 191,929,224 | 57.8 |
| ....Different state | S092 | 478,008 | 15.1 | 89,141,447 | 26.9 |
| ...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s) | S093 | 56,530 | 1.8 | 5,552,971 | 1.7 |
| ..Foreign born | S094 | 961,638 | 30.4 | 45,270,103 | 13.6 |
| U.S. CITIZENSHIP STATUS | |||||
| .Foreign-born population | S095 | 961,638 | 100.0 | 45,270,103 | 100.0 |
| ..Naturalized U.S. citizen | S096 | 556,423 | 57.9 | 24,044,083 | 53.1 |
| ..Not a U.S. citizen | S097 | 405,215 | 42.1 | 21,226,020 | 46.9 |
| YEAR OF ENTRY | |||||
| .Population born outside the United States | S098 | 1,018,168 | 100.0 | 50,823,074 | 100.0 |
| ..Native | S099 | 56,530 | 100.0 | 5,552,971 | 100.0 |
| ...Entered 2010 or later | S100 | 20,833 | 36.9 | 1,697,342 | 30.6 |
| ...Entered before 2010 | S101 | 35,697 | 63.1 | 3,855,629 | 69.4 |
| ..Foreign born | S102 | 961,638 | 100.0 | 45,270,103 | 100.0 |
| ...Entered 2010 or later | S103 | 189,547 | 19.7 | 12,717,163 | 28.1 |
| ...Entered before 2010 | S104 | 772,091 | 80.3 | 32,552,940 | 71.9 |
| WORLD REGION OF BIRTH OF FOREIGN BORN | |||||
| .Foreign-born population, excluding population born at sea | S105 | 961,638 | 100.0 | 45,269,644 | 100.0 |
| ..Europe | S106 | 59,808 | 6.2 | 4,865,317 | 10.7 |
| ..Asia | S107 | 487,912 | 50.7 | 14,034,338 | 31.0 |
| ..Africa | S108 | 21,885 | 2.3 | 2,597,894 | 5.7 |
| ..Oceania | S109 | 5,690 | 0.6 | 292,766 | 0.6 |
| ..Latin America | S110 | 372,824 | 38.8 | 22,691,727 | 50.1 |
| ..Northern America | S111 | 13,519 | 1.4 | 787,602 | 1.7 |
| LANGUAGE SPOKEN AT HOME | |||||
| .Population 5 years and over | S112 | 2,995,053 | 100.0 | 313,232,500 | 100.0 |
| ..English only | S113 | 1,622,013 | 54.2 | 245,478,064 | 78.4 |
| ..Language other than English | S114 | 1,373,040 | 45.8 | 67,754,436 | 21.6 |
| ...Speak English less than very well | S115 | 547,880 | 18.3 | 25,921,267 | 8.3 |
| ..Spanish | S116 | 735,651 | 24.6 | 41,254,941 | 13.2 |
| ...Speak English less than very well | S117 | 266,568 | 8.9 | 16,299,869 | 5.2 |
| ..Other Indo-European languages | S118 | 137,312 | 4.6 | 11,802,904 | 3.8 |
| ...Speak English less than very well | S119 | 33,325 | 1.1 | 3,639,669 | 1.2 |
| ..Asian and Pacific Islander languages | S120 | 456,836 | 15.3 | 10,915,574 | 3.5 |
| ...Speak English less than very well | S121 | 235,029 | 7.8 | 4,884,562 | 1.6 |
| ..Other languages | S122 | 43,241 | 1.4 | 3,781,017 | 1.2 |
| ...Speak English less than very well | S123 | 12,958 | 0.4 | 1,097,167 | 0.4 |
| ANCESTRY | |||||
| .Total population | S124 | 3,167,809 | 100.0 | 331,893,745 | 100.0 |
| ..American | S125 | 132,724 | 4.2 | 17,625,957 | 5.3 |
| ..Arab | S126 | 44,077 | 1.4 | 2,222,769 | 0.7 |
| ..Czech | S127 | 6,520 | 0.2 | 1,252,833 | 0.4 |
| ..Danish | S128 | 9,109 | 0.3 | 1,122,719 | 0.3 |
| ..Dutch | S129 | 19,673 | 0.6 | 3,083,041 | 0.9 |
| ..English | S130 | 233,204 | 7.4 | 31,825,171 | 9.6 |
| ..French (except Basque) | S131 | 41,287 | 1.3 | 6,448,506 | 1.9 |
| ..French Canadian | S132 | 9,249 | 0.3 | 1,602,027 | 0.5 |
| ..German | S133 | 241,764 | 7.6 | 42,220,180 | 12.7 |
| ..Greek | S134 | 10,010 | 0.3 | 1,184,289 | 0.4 |
| ..Hungarian | S135 | 10,116 | 0.3 | 1,221,273 | 0.4 |
| ..Irish | S136 | 193,389 | 6.1 | 31,495,897 | 9.5 |
| ..Italian | S137 | 122,256 | 3.9 | 15,947,138 | 4.8 |
| ..Lithuanian | S138 | 3,540 | 0.1 | 573,618 | 0.2 |
| ..Norwegian | S139 | 27,424 | 0.9 | 3,885,380 | 1.2 |
| ..Polish | S140 | 39,369 | 1.2 | 8,237,026 | 2.5 |
| ..Portuguese | S141 | 11,091 | 0.4 | 1,306,039 | 0.4 |
| ..Russian | S142 | 26,283 | 0.8 | 2,407,434 | 0.7 |
| ..Scotch-Irish | S143 | 14,960 | 0.5 | 2,495,113 | 0.8 |
| ..Scottish | S144 | 42,494 | 1.3 | 5,244,788 | 1.6 |
| ..Slovak | S145 | 2,442 | 0.1 | 594,844 | 0.2 |
| ..Subsaharan African | S146 | 13,142 | 0.4 | 3,967,734 | 1.2 |
| ..Swedish | S147 | 34,403 | 1.1 | 3,318,578 | 1.0 |
| ..Swiss | S148 | 4,161 | 0.1 | 839,159 | 0.3 |
| ..Ukrainian | S149 | 6,536 | 0.2 | 980,819 | 0.3 |
| ..Welsh | S150 | 11,398 | 0.4 | 1,553,417 | 0.5 |
| ..West Indian (excluding Hispanic origin groups) | S151 | 3,584 | 0.1 | 3,064,655 | 0.9 |
| COMPUTERS AND INTERNET USE | |||||
| .Total households | S152 | 1,077,193 | 100.0 | 127,544,730 | 100.0 |
| ..With a computer | S153 | 1,052,249 | 97.7 | 121,224,032 | 95.0 |
| ..With a broadband Internet subscription | S154 | 1,017,151 | 94.4 | 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 | 2,573,809 | 100.0 | 267,057,693 | 100.0 |
| ..In labor force | E002 | 1,682,674 | 65.4 | 168,236,937 | 63.0 |
| ...Civilian labor force | E003 | 1,679,697 | 65.3 | 166,900,336 | 62.5 |
| ....Employed | E004 | 1,553,421 | 60.4 | 156,380,433 | 58.6 |
| ....Unemployed | E005 | 126,276 | 4.9 | 10,519,903 | 3.9 |
| ...Armed Forces | E006 | 2,977 | 0.1 | 1,336,601 | 0.5 |
| ..Not in labor force | E007 | 891,135 | 34.6 | 98,820,756 | 37.0 |
| .Civilian labor force | E008 | 1,679,697 | 100.0 | 166,900,336 | 100.0 |
| ..Unemployment Rate | E009 | 7.50 | 6.30 | ||
| .Females 16 years and over | E010 | 1,308,186 | 100.0 | 135,931,305 | 100.0 |
| ..In labor force | E011 | 777,198 | 59.4 | 79,347,771 | 58.4 |
| ...Civilian labor force | E012 | 776,992 | 59.4 | 79,128,144 | 58.2 |
| ....Employed | E013 | 715,439 | 54.7 | 74,173,887 | 54.6 |
| .Own children of the householder under 6 years | E014 | 202,337 | 100.0 | 21,632,850 | 100.0 |
| ..All parents in family in labor force | E015 | 129,812 | 64.2 | 14,432,156 | 66.7 |
| .Own children of the householder 6 to 17 years | E016 | 446,380 | 100.0 | 48,027,938 | 100.0 |
| ..All parents in family in labor force | E017 | 301,114 | 67.5 | 34,209,802 | 71.2 |
| COMMUTING TO WORK | |||||
| .Workers 16 years and over | E018 | 1,523,076 | 100.0 | 154,314,179 | 100.0 |
| ..Car, truck, or van -- drove alone | E019 | 989,131 | 64.9 | 104,650,121 | 67.8 |
| ..Car, truck, or van -- carpooled | E020 | 127,759 | 8.4 | 12,018,354 | 7.8 |
| ..Public transportation (excluding taxicab) | E021 | 10,970 | 0.7 | 3,793,329 | 2.5 |
| ..Walked | E022 | 22,220 | 1.5 | 3,399,405 | 2.2 |
| ..Other means | E023 | 34,376 | 2.3 | 2,884,872 | 1.9 |
| ..Worked from home | E024 | 338,620 | 22.2 | 27,568,098 | 17.9 |
| ..Mean travel time to work (minutes) | E025 | 26.10 | 25.60 | ||
| OCCUPATION | |||||
| .Civilian employed population 16 years and over | E026 | 1,553,421 | 100.0 | 156,380,433 | 100.0 |
| ..Management, business, science, and arts occupations | E027 | 730,341 | 47.0 | 66,001,412 | 42.2 |
| ..Service occupations | E028 | 247,393 | 15.9 | 25,151,071 | 16.1 |
| ..Sales and office occupations | E029 | 323,121 | 20.8 | 31,329,510 | 20.0 |
| ..Natural resources, construction, and maintenance occupations | E030 | 92,493 | 6.0 | 13,368,928 | 8.5 |
| ..Production, transportation, and material moving occupations | E031 | 160,073 | 10.3 | 20,529,512 | 13.1 |
| INDUSTRY | |||||
| .Civilian employed population 16 years and over | E032 | 1,553,421 | 100.0 | 156,380,433 | 100.0 |
| ..Agriculture, forestry, fishing and hunting, and mining | E033 | 11,406 | 0.7 | 2,445,458 | 1.6 |
| ..Construction | E034 | 88,970 | 5.7 | 10,773,757 | 6.9 |
| ..Manufacturing | E035 | 188,192 | 12.1 | 15,738,828 | 10.1 |
| ..Wholesale trade | E036 | 52,375 | 3.4 | 3,616,410 | 2.3 |
| ..Retail trade | E037 | 153,541 | 9.9 | 17,307,114 | 11.1 |
| ..Transportation and warehousing, and utilities | E038 | 66,909 | 4.3 | 9,237,812 | 5.9 |
| ..Information | E039 | 30,844 | 2.0 | 2,908,107 | 1.9 |
| ..Finance and insurance, and real estate and rental and leasing | E040 | 130,310 | 8.4 | 10,659,331 | 6.8 |
| ..Professional, scientific, and management, and administrative and waste management services | E041 | 233,444 | 15.0 | 19,360,141 | 12.4 |
| ..Educational services, and health care and social assistance | E042 | 329,280 | 21.2 | 36,749,102 | 23.5 |
| ..Arts, entertainment, and recreation, and accommodation and food services | E043 | 143,689 | 9.2 | 12,892,907 | 8.2 |
| ..Other services, except public administration | E044 | 74,040 | 4.8 | 7,170,404 | 4.6 |
| ..Public administration | E045 | 50,421 | 3.2 | 7,521,062 | 4.8 |
| CLASS OF WORKER | |||||
| .Civilian employed population 16 years and over | E046 | 1,553,421 | 100.0 | 156,380,433 | 100.0 |
| ..Private wage and salary workers | E047 | 1,247,653 | 80.3 | 123,744,069 | 79.1 |
| ..Government workers | E048 | 181,904 | 11.7 | 22,860,100 | 14.6 |
| ..Self-employed in own not incorporated business workers | E049 | 120,850 | 7.8 | 9,481,077 | 6.1 |
| ..Unpaid family workers | E050 | 3,014 | 0.2 | 295,187 | 0.2 |
| INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS) | |||||
| .Total households | E051 | 1,077,193 | 100.0 | 127,544,730 | 100.0 |
| ..Less than $10,000 | E052 | 52,681 | 4.9 | 7,689,277 | 6.0 |
| ..$10,000 to $14,999 | E053 | 28,073 | 2.6 | 4,919,505 | 3.9 |
| ..$15,000 to $24,999 | E054 | 47,759 | 4.4 | 9,567,549 | 7.5 |
| ..$25,000 to $34,999 | E055 | 55,346 | 5.1 | 9,969,826 | 7.8 |
| ..$35,000 to $49,999 | E056 | 77,749 | 7.2 | 14,364,338 | 11.3 |
| ..$50,000 to $74,999 | E057 | 142,334 | 13.2 | 21,443,341 | 16.8 |
| ..$75,000 to $99,999 | E058 | 131,884 | 12.2 | 16,276,811 | 12.8 |
| ..$100,000 to $149,999 | E059 | 201,351 | 18.7 | 20,741,047 | 16.3 |
| ..$150,000 to $199,999 | E060 | 132,742 | 12.3 | 10,096,604 | 7.9 |
| ..$200,000 or more | E061 | 207,274 | 19.2 | 12,476,432 | 9.8 |
| ..Median household income (dollars) | E062 | 100,559 | 69,717 | ||
| ..Mean household income (dollars) | E063 | 135,947 | 97,962 | ||
| ..With earnings | E064 | 880,308 | 81.7 | 98,177,629 | 77.0 |
| ...Mean earnings (dollars) | E065 | 133,477 | 99,688 | ||
| ..With Social Security | E066 | 290,135 | 26.9 | 39,741,545 | 31.2 |
| ...Mean Social Security income (dollars) | E067 | 22,236 | 21,152 | ||
| ..With retirement income | E068 | 222,531 | 20.7 | 30,669,175 | 24.0 |
| ...Mean retirement income (dollars) | E069 | 37,917 | 29,628 | ||
| ..With Supplemental Security Income | E070 | 49,626 | 4.6 | 6,588,644 | 5.2 |
| ...Mean Supplemental Security Income (dollars) | E071 | 10,288 | 10,230 | ||
| ..With cash public assistance income | E072 | 51,115 | 4.7 | 4,282,321 | 3.4 |
| ...Mean cash public assistance income (dollars) | E073 | 7,259 | 5,240 | ||
| ..With Food Stamp/SNAP benefits in the past 12 months | E074 | 84,963 | 7.9 | 15,838,862 | 12.4 |
| .Families | E075 | 762,960 | 100.0 | 82,464,986 | 100.0 |
| ..Less than $10,000 | E076 | 25,234 | 3.3 | 3,056,415 | 3.7 |
| ..$10,000 to $14,999 | E077 | 11,493 | 1.5 | 1,667,928 | 2.0 |
| ..$15,000 to $24,999 | E078 | 28,382 | 3.7 | 4,086,661 | 5.0 |
| ..$25,000 to $34,999 | E079 | 32,792 | 4.3 | 5,117,957 | 6.2 |
| ..$35,000 to $49,999 | E080 | 50,186 | 6.6 | 8,245,080 | 10.0 |
| ..$50,000 to $74,999 | E081 | 93,504 | 12.3 | 13,648,681 | 16.6 |
| ..$75,000 to $99,999 | E082 | 91,342 | 12.0 | 11,644,350 | 14.1 |
| ..$100,000 to $149,999 | E083 | 149,658 | 19.6 | 16,152,982 | 19.6 |
| ..$150,000 to $199,999 | E084 | 105,481 | 13.8 | 8,285,960 | 10.0 |
| ..$200,000 or more | E085 | 174,888 | 22.9 | 10,558,972 | 12.8 |
| ..Median family income (dollars) | E086 | 113,908 | 85,806 | ||
| ..Mean family income (dollars) | E087 | 151,782 | 115,522 | ||
| .Per capita income (dollars) | E088 | 47,334 | 38,332 | ||
| .Nonfamily households | E089 | 314,233 | 100.0 | 45,079,744 | 100.0 |
| ..Median nonfamily income (dollars) | E090 | 63,192 | 41,549 | ||
| ..Mean nonfamily income (dollars) | E091 | 88,648 | 61,091 | ||
| .Median earnings for workers (dollars) | E092 | 46,386 | 40,260 | ||
| .Median earnings for male full-time, year-round workers (dollars) | E093 | 73,897 | 60,428 | ||
| .Median earnings for female full-time, year-round workers (dollars) | E094 | 61,755 | 49,263 | ||
| HEALTH INSURANCE COVERAGE | |||||
| .Civilian noninstitutionalized population | E095 | 3,151,798 | 100.0 | 326,912,547 | 100.0 |
| ..With health insurance coverage | E096 | 2,935,090 | 93.1 | 298,685,665 | 91.4 |
| ...With private health insurance | E097 | 2,124,576 | 67.4 | 219,074,507 | 67.0 |
| ...With public coverage | E098 | 1,095,664 | 34.8 | 120,198,470 | 36.8 |
| ..No health insurance coverage | E099 | 216,708 | 6.9 | 28,226,882 | 8.6 |
| .Civilian noninstitutionalized population under 19 years | E100 | 719,119 | 100.0 | 77,830,503 | 100.0 |
| ..No health insurance coverage | E101 | 26,096 | 3.6 | 4,164,688 | 5.4 |
| .Civilian noninstitutionalized population 19 to 64 years | E102 | 1,939,508 | 100.0 | 194,340,102 | 100.0 |
| ..In labor force: | E103 | 1,534,083 | 100.0 | 152,120,273 | 100.0 |
| ...Employed: | E104 | 1,422,056 | 100.0 | 142,779,946 | 100.0 |
| ....With health insurance coverage | E105 | 1,303,511 | 91.7 | 127,829,928 | 89.5 |
| .....With private health insurance | E106 | 1,160,189 | 81.6 | 116,136,040 | 81.3 |
| .....With public coverage | E107 | 179,392 | 12.6 | 16,087,515 | 11.3 |
| ....No health insurance coverage | E108 | 118,545 | 8.3 | 14,950,018 | 10.5 |
| ...Unemployed: | E109 | 112,027 | 100.0 | 9,340,327 | 100.0 |
| ....With health insurance coverage | E110 | 94,838 | 84.7 | 7,048,775 | 75.5 |
| .....With private health insurance | E111 | 58,115 | 51.9 | 3,867,469 | 41.4 |
| .....With public coverage | E112 | 41,400 | 37.0 | 3,523,835 | 37.7 |
| ....No health insurance coverage | E113 | 17,189 | 15.3 | 2,291,552 | 24.5 |
| ..Not in labor force: | E114 | 405,425 | 100.0 | 42,219,829 | 100.0 |
| ...With health insurance coverage | E115 | 355,499 | 87.7 | 35,844,186 | 84.9 |
| ....With private health insurance | E116 | 227,492 | 56.1 | 21,241,038 | 50.3 |
| ....With public coverage | E117 | 143,434 | 35.4 | 17,509,893 | 41.5 |
| ...No health insurance coverage | E118 | 49,926 | 12.3 | 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 | 7.3 | 9.1 | ||
| ..With related children of the householder under 18 years | E120 | 9.8 | 14.1 | ||
| ...With related children of the householder under 5 years only | E121 | 7.9 | 13.0 | ||
| ..Married couple families | E122 | 4.7 | 4.7 | ||
| ...With related children of the householder under 18 years | E123 | 5.6 | 6.2 | ||
| ....With related children of the householder under 5 years only | E124 | 3.6 | 4.8 | ||
| ..Families with female householder, no spouse present | E125 | 17.7 | 24.4 | ||
| ...With related children of the householder under 18 years | E126 | 24.7 | 33.7 | ||
| ....With related children of the householder under 5 years only | E127 | 29.0 | 37.9 | ||
| .All people | E128 | 9.9 | 12.8 | ||
| ..Under 18 years | E129 | 10.8 | 16.9 | ||
| ...Related children of the householder under 18 years | E130 | 10.5 | 16.6 | ||
| ....Related children of the householder under 5 years | E131 | 10.9 | 18.3 | ||
| ....Related children of the householder 5 to 17 years | E132 | 10.4 | 16.1 | ||
| ..18 years and over | E133 | 9.6 | 11.6 | ||
| ...18 to 64 years | E134 | 9.5 | 11.9 | ||
| ...65 years and over | E135 | 10.0 | 10.3 | ||
| ..People in families | E136 | 7.3 | 10.0 | ||
| ..Unrelated individuals 15 years and over | E137 | 22.3 | 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 | 185 | 351 | 318 | 116 | 184 | 281 | 282 | 262 | 253 | 307 | 332 | 218 |
| Single Family, Units | 185 | 351 | 318 | 116 | 184 | 281 | 282 | 262 | 253 | 307 | 332 | 218 |
| Single Family, Value | 54,456 | 101,706 | 88,176 | 38,862 | 58,581 | 90,751 | 91,429 | 77,383 | 76,161 | 93,558 | 94,000 | 63,725 |
| 2 Unit, Buildings | 5 | 6 | 8 | 3 | 3 | 6 | 3 | 7 | 13 | 12 | 4 | 5 |
| 2 Unit, Units | 10 | 12 | 16 | 6 | 6 | 12 | 6 | 14 | 26 | 24 | 8 | 10 |
| 2 Unit, Value | 2,577 | 3,395 | 3,655 | 1,939 | 1,517 | 3,481 | 1,548 | 3,461 | 6,431 | 7,844 | 2,429 | 2,199 |
| 3-4 Unit, Buildings | 8 | 8 | 10 | 5 | 0 | 7 | 9 | 5 | 4 | 10 | 3 | 3 |
| 3-4 Unit, Units | 31 | 28 | 35 | 17 | 0 | 24 | 29 | 15 | 16 | 34 | 9 | 9 |
| 3-4 Unit, Value | 7,154 | 6,521 | 8,554 | 3,880 | 0 | 4,385 | 8,148 | 3,799 | 3,537 | 7,788 | 2,647 | 3,001 |
| 5+ Unit, Buildings | 3 | 11 | 12 | 5 | 8 | 8 | 10 | 10 | 5 | 8 | 16 | 7 |
| 5+ Unit, Units | 38 | 106 | 337 | 351 | 264 | 59 | 146 | 92 | 126 | 148 | 405 | 495 |
| 5+ Unit, Value | 7,757 | 21,128 | 57,453 | 55,913 | 64,129 | 12,718 | 27,372 | 15,159 | 19,463 | 24,093 | 75,535 | 73,774 |
| 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 | 230 | 281 | 431 | 299 | 294 | 257 | 296 | 235 | 293 | 450 | 230 | 193 |
| Single Family, Units | 230 | 281 | 431 | 299 | 294 | 257 | 296 | 235 | 293 | 450 | 230 | 193 |
| Single Family, Value | 67,550 | 78,236 | 132,795 | 85,456 | 87,088 | 76,482 | 81,079 | 69,360 | 90,964 | 127,477 | 63,253 | 55,443 |
| 2 Unit, Buildings | 8 | 9 | 14 | 10 | 11 | 16 | 9 | 2 | 3 | 3 | 3 | 2 |
| 2 Unit, Units | 16 | 18 | 28 | 20 | 22 | 32 | 18 | 4 | 6 | 6 | 6 | 4 |
| 2 Unit, Value | 3,745 | 5,435 | 7,931 | 4,820 | 7,025 | 9,303 | 5,647 | 1,333 | 2,000 | 2,000 | 2,000 | 1,333 |
| 3-4 Unit, Buildings | 8 | 7 | 3 | 5 | 5 | 4 | 12 | 7 | 12 | 6 | 3 | 5 |
| 3-4 Unit, Units | 29 | 21 | 12 | 18 | 17 | 13 | 44 | 28 | 38 | 22 | 11 | 17 |
| 3-4 Unit, Value | 4,497 | 5,937 | 2,460 | 4,344 | 3,680 | 3,538 | 9,509 | 6,048 | 9,795 | 5,179 | 2,358 | 3,664 |
| 5+ Unit, Buildings | 21 | 13 | 29 | 18 | 21 | 1 | 19 | 7 | 5 | 11 | 6 | 6 |
| 5+ Unit, Units | 746 | 549 | 1,140 | 158 | 147 | 20 | 461 | 138 | 258 | 102 | 362 | 416 |
| 5+ Unit, Value | 138,776 | 102,160 | 253,667 | 33,541 | 25,178 | 3,709 | 77,472 | 27,458 | 69,490 | 19,711 | 77,221 | 73,135 |
| 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 | 217 | 293 | 367 | 308 | 285 | 263 | 191 | 262 | 218 | 176 | 165 | 160 |
| Single Family, Units | 217 | 293 | 367 | 308 | 285 | 263 | 191 | 262 | 218 | 176 | 165 | 160 |
| Single Family, Value | 61,847 | 86,833 | 113,028 | 69,373 | 74,920 | 71,027 | 50,768 | 82,554 | 64,920 | 40,518 | 50,070 | 51,372 |
| 2 Unit, Buildings | 3 | 6 | 9 | 20 | 3 | 12 | 4 | 15 | 2 | 5 | 5 | 5 |
| 2 Unit, Units | 6 | 12 | 18 | 40 | 6 | 24 | 8 | 30 | 4 | 10 | 10 | 10 |
| 2 Unit, Value | 1,845 | 3,506 | 5,239 | 13,286 | 2,000 | 8,103 | 2,564 | 9,632 | 1,333 | 2,809 | 3,843 | 2,969 |
| 3-4 Unit, Buildings | 1 | 1 | 14 | 2 | 6 | 4 | 8 | 1 | 3 | 2 | 5 | 5 |
| 3-4 Unit, Units | 3 | 3 | 44 | 7 | 21 | 14 | 31 | 3 | 10 | 7 | 15 | 16 |
| 3-4 Unit, Value | 672 | 807 | 10,138 | 1,857 | 6,083 | 4,399 | 7,074 | 614 | 3,026 | 1,857 | 4,262 | 3,727 |
| 5+ Unit, Buildings | 4 | 14 | 7 | 5 | 11 | 23 | 8 | 9 | 8 | 4 | 6 | 13 |
| 5+ Unit, Units | 59 | 138 | 132 | 45 | 419 | 432 | 73 | 87 | 527 | 295 | 79 | 501 |
| 5+ Unit, Value | 11,182 | 20,278 | 29,233 | 7,792 | 76,416 | 82,555 | 12,635 | 17,832 | 98,980 | 57,732 | 16,968 | 104,251 |
| Units in Structure | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2021-22 | 2021-22% |
| Single Family, Buildings | 3,809 | 4,357 | 4,904 | 4,085 | 3,422 | 2,985 | 3,433 | 2,931 | -502 | -14.6 |
| Single Family, Units | 3,809 | 4,357 | 4,904 | 4,085 | 3,422 | 2,985 | 3,433 | 2,931 | -502 | -14.6 |
| Single Family, Value | 1,264,654 | 1,370,017 | 1,534,556 | 1,258,123 | 1,054,236 | 881,911 | 953,492 | 811,097 | -142,395 | -14.9 |
| 2 Unit, Buildings | 95 | 76 | 130 | 153 | 143 | 75 | 91 | 86 | -5 | -5.5 |
| 2 Unit, Units | 190 | 152 | 260 | 306 | 286 | 150 | 182 | 172 | -10 | -5.5 |
| 2 Unit, Value | 43,162 | 36,912 | 63,853 | 77,018 | 72,228 | 40,223 | 53,804 | 55,661 | 1,857 | 3.5 |
| 3-4 Unit, Buildings | 114 | 101 | 99 | 95 | 37 | 68 | 74 | 46 | -28 | -37.8 |
| 3-4 Unit, Units | 379 | 343 | 328 | 316 | 125 | 234 | 261 | 157 | -104 | -39.8 |
| 3-4 Unit, Value | 75,270 | 72,371 | 71,337 | 66,541 | 25,861 | 56,603 | 60,163 | 41,257 | -18,906 | -31.4 |
| 5+ Unit, Buildings | 172 | 159 | 143 | 109 | 93 | 75 | 146 | 94 | -52 | -35.6 |
| 5+ Unit, Units | 6,393 | 6,671 | 4,018 | 2,808 | 5,156 | 2,658 | 3,991 | 2,678 | -1,313 | -32.9 |
| 5+ Unit, Value | 844,833 | 965,960 | 630,507 | 419,850 | 669,038 | 492,951 | 806,474 | 541,181 | -265,293 | -32.9 |
| HOUSING CHARACTERISTICS (DP4) | ItemCode | County Estimate | County Percent | U.S. Estimate | U.S. Percent |
| HOUSING OCCUPANCY | |||||
| .Total housing units | H001 | 1,139,043 | 100.0 | 142,148,050 | 100.0 |
| ..Occupied housing units | H002 | 1,077,193 | 94.6 | 127,544,730 | 89.7 |
| ..Vacant housing units | H003 | 61,850 | 5.4 | 14,603,320 | 10.3 |
| ..Homeowner vacancy rate | H004 | 0.50 | 0.90 | ||
| ..Rental vacancy rate | H005 | 3.90 | 5.20 | ||
| UNITS IN STRUCTURE | |||||
| .Total housing units | H006 | 1,139,043 | 100.0 | 142,148,050 | 100.0 |
| ..1-unit, detached | H007 | 567,675 | 49.8 | 87,804,068 | 61.8 |
| ..1-unit, attached | H008 | 146,491 | 12.9 | 8,823,839 | 6.2 |
| ..2 units | H009 | 22,428 | 2.0 | 4,698,934 | 3.3 |
| ..3 or 4 units | H010 | 76,829 | 6.7 | 6,069,239 | 4.3 |
| ..5 to 9 units | H011 | 62,723 | 5.5 | 6,379,448 | 4.5 |
| ..10 to 19 units | H012 | 53,170 | 4.7 | 5,996,065 | 4.2 |
| ..20 or more units | H013 | 178,757 | 15.7 | 14,201,780 | 10.0 |
| ..Mobile home | H014 | 30,390 | 2.7 | 8,008,783 | 5.6 |
| ..Boat, RV, van, etc. | H015 | 580 | 0.1 | 165,894 | 0.1 |
| YEAR STRUCTURE BUILT | |||||
| .Total housing units | H016 | 1,139,043 | 100.0 | 142,148,050 | 100.0 |
| ..Built 2014 or later | H017 | 9,211 | 0.8 | 1,073,629 | 0.8 |
| ..Built 2010 to 2013 | H018 | 88,810 | 7.8 | 13,632,007 | 9.6 |
| ..Built 2000 to 2009 | H019 | 100,857 | 8.9 | 19,697,259 | 13.9 |
| ..Built 1990 to 1999 | H020 | 126,804 | 11.1 | 17,452,834 | 12.3 |
| ..Built 1980 to 1989 | H021 | 168,598 | 14.8 | 18,532,262 | 13.0 |
| ..Built 1970 to 1979 | H022 | 253,723 | 22.3 | 20,442,202 | 14.4 |
| ..Built 1960 to 1969 | H023 | 199,067 | 17.5 | 14,202,613 | 10.0 |
| ..Built 1950 to 1959 | H024 | 142,759 | 12.5 | 13,738,856 | 9.7 |
| ..Built 1940 to 1949 | H025 | 21,775 | 1.9 | 6,474,803 | 4.6 |
| ..Built 1939 or earlier | H026 | 27,439 | 2.4 | 16,901,585 | 11.9 |
| ROOMS | |||||
| .Total housing units | H027 | 1,139,043 | 100.0 | 142,148,050 | 100.0 |
| ..1 room | H028 | 37,492 | 3.3 | 3,589,031 | 2.5 |
| ..2 rooms | H029 | 47,756 | 4.2 | 4,350,654 | 3.1 |
| ..3 rooms | H030 | 136,662 | 12.0 | 12,820,515 | 9.0 |
| ..4 rooms | H031 | 232,405 | 20.4 | 22,251,103 | 15.7 |
| ..5 rooms | H032 | 190,252 | 16.7 | 26,439,561 | 18.6 |
| ..6 rooms | H033 | 186,352 | 16.4 | 24,927,199 | 17.5 |
| ..7 rooms | H034 | 122,943 | 10.8 | 17,046,581 | 12.0 |
| ..8 rooms | H035 | 89,638 | 7.9 | 12,894,229 | 9.1 |
| ..9 rooms or more | H036 | 95,543 | 8.4 | 17,829,177 | 12.5 |
| ..Median rooms | H037 | 5.1 | 5.6 | ||
| BEDROOMS | |||||
| .Total housing units | H038 | 1,139,043 | 100.0 | 142,148,050 | 100.0 |
| ..No bedroom | H039 | 40,252 | 3.5 | 3,959,211 | 2.8 |
| ..1 bedroom | H040 | 148,241 | 13.0 | 15,384,897 | 10.8 |
| ..2 bedrooms | H041 | 312,598 | 27.4 | 35,600,388 | 25.0 |
| ..3 bedrooms | H042 | 327,559 | 28.8 | 55,386,244 | 39.0 |
| ..4 bedrooms | H043 | 243,346 | 21.4 | 24,894,730 | 17.5 |
| ..5 or more bedrooms | H044 | 67,047 | 5.9 | 6,922,580 | 4.9 |
| HOUSING TENURE | |||||
| .Occupied housing units | H045 | 1,077,193 | 100.0 | 127,544,730 | 100.0 |
| ..Owner-occupied | H046 | 608,989 | 56.5 | 83,396,988 | 65.4 |
| ..Renter-occupied | H047 | 468,204 | 43.5 | 44,147,742 | 34.6 |
| ..Average household size of owner-occupied unit | H048 | 2.94 | 2.65 | ||
| ..Average household size of renter-occupied unit | H049 | 2.86 | 2.33 | ||
| YEAR HOUSEHOLDER MOVED INTO UNIT | |||||
| .Occupied housing units | H050 | 1,077,193 | 100.0 | 127,544,730 | 100.0 |
| ..Moved in 2017 or later | H051 | 297,938 | 27.7 | 34,784,732 | 27.3 |
| ..Moved in 2015 to 2016 | H052 | 225,581 | 20.9 | 28,234,034 | 22.1 |
| ..Moved in 2010 to 2014 | H053 | 149,146 | 13.8 | 16,462,478 | 12.9 |
| ..Moved in 2000 to 2009 | H054 | 187,584 | 17.4 | 22,180,943 | 17.4 |
| ..Moved in 1990 to 1999 | H055 | 118,378 | 11.0 | 12,938,673 | 10.1 |
| ..Moved in 1989 and earlier | H056 | 98,566 | 9.2 | 12,943,870 | 10.1 |
| VEHICLES AVAILABLE | |||||
| .Occupied housing units | H057 | 1,077,193 | 100.0 | 127,544,730 | 100.0 |
| ..No vehicles available | H058 | 50,328 | 4.7 | 10,263,494 | 8.0 |
| ..1 vehicle available | H059 | 310,132 | 28.8 | 41,959,133 | 32.9 |
| ..2 vehicles available | H060 | 434,318 | 40.3 | 47,337,486 | 37.1 |
| ..3 or more vehicles available | H061 | 282,415 | 26.2 | 27,984,617 | 21.9 |
| HOUSE HEATING FUEL | |||||
| .Occupied housing units | H062 | 1,077,193 | 100.0 | 127,544,730 | 100.0 |
| ..Utility gas | H063 | 726,750 | 67.5 | 59,246,257 | 46.5 |
| ..Bottled, tank, or LP gas | H064 | 18,077 | 1.7 | 6,326,791 | 5.0 |
| ..Electricity | H065 | 287,971 | 26.7 | 52,279,174 | 41.0 |
| ..Fuel oil, kerosene, etc. | H066 | 1,198 | 0.1 | 5,218,757 | 4.1 |
| ..Coal or coke | H067 | 98 | 0.0 | 95,160 | 0.1 |
| ..Wood | H068 | 853 | 0.1 | 1,792,240 | 1.4 |
| ..Solar energy | H069 | 7,829 | 0.7 | 362,346 | 0.3 |
| ..Other fuel | H070 | 1,073 | 0.1 | 640,525 | 0.5 |
| ..No fuel used | H071 | 33,344 | 3.1 | 1,583,480 | 1.2 |
| SELECTED CHARACTERISTICS | |||||
| .Occupied housing units | H072 | 1,077,193 | 100.0 | 127,544,730 | 100.0 |
| ..Lacking complete plumbing facilities | H073 | 2,153 | 0.2 | 522,752 | 0.4 |
| ..Lacking complete kitchen facilities | H074 | 17,277 | 1.6 | 1,027,179 | 0.8 |
| ..No telephone service available | H075 | 10,068 | 0.9 | 1,152,803 | 0.9 |
| OCCUPANTS PER ROOM | |||||
| .Occupied housing units | H076 | 1,077,193 | 100.0 | 127,544,730 | 100.0 |
| ..1.00 or less | H077 | 984,817 | 91.4 | 123,222,676 | 96.6 |
| ..1.01 to 1.50 | H078 | 59,131 | 5.5 | 2,811,853 | 2.2 |
| ..1.51 or more | H079 | 33,245 | 3.1 | 1,510,201 | 1.2 |
| VALUE | |||||
| .Owner-occupied units | H080 | 608,989 | 100.0 | 83,396,988 | 100.0 |
| ..Less than $50,000 | H081 | 9,298 | 1.5 | 5,012,399 | 6.0 |
| ..$50,000 to $99,999 | H082 | 11,266 | 1.8 | 6,591,730 | 7.9 |
| ..$100,000 to $149,999 | H083 | 7,125 | 1.2 | 7,393,172 | 8.9 |
| ..$150,000 to $199,999 | H084 | 5,651 | 0.9 | 9,312,599 | 11.2 |
| ..$200,000 to $299,999 | H085 | 10,754 | 1.8 | 16,283,130 | 19.5 |
| ..$300,000 to $499,999 | H086 | 49,255 | 8.1 | 20,456,170 | 24.5 |
| ..$500,000 to $999,999 | H087 | 329,375 | 54.1 | 14,149,578 | 17.0 |
| ..$1,000,000 or more | H088 | 186,265 | 30.6 | 4,198,210 | 5.0 |
| ..Median (dollars) | H089 | 832,300 | 281,400 | ||
| MORTGAGE STATUS | |||||
| .Owner-occupied units | H090 | 608,989 | 100.0 | 83,396,988 | 100.0 |
| ..Housing units with a mortgage | H091 | 408,228 | 67.0 | 51,114,260 | 61.3 |
| ..Housing units without a mortgage | H092 | 200,761 | 33.0 | 32,282,728 | 38.7 |
| SELECTED MONTHLY OWNER COSTS (SMOC) | |||||
| .Housing units with a mortgage | H093 | 408,228 | 100.0 | 51,114,260 | 100.0 |
| ..Less than $500 | H094 | 2,234 | 0.5 | 610,377 | 1.2 |
| ..$500 to $999 | H095 | 8,068 | 2.0 | 7,554,733 | 14.8 |
| ..$1,000 to $1,499 | H096 | 24,804 | 6.1 | 13,171,613 | 25.8 |
| ..$1,500 to $1,999 | H097 | 48,696 | 11.9 | 11,146,103 | 21.8 |
| ..$2,000 to $2,499 | H098 | 61,375 | 15.0 | 7,205,428 | 14.1 |
| ..$2,500 to $2,999 | H099 | 64,495 | 15.8 | 4,377,761 | 8.6 |
| ..$3,000 or more | H100 | 198,556 | 48.6 | 7,048,245 | 13.8 |
| ..Median (dollars) | H101 | 2,957 | 1,672 | ||
| .Housing units without a mortgage | H102 | 200,761 | 100.0 | 32,282,728 | 100.0 |
| ..Less than $250 | H103 | 10,204 | 5.1 | 3,275,543 | 10.1 |
| ..$250 to $399 | H104 | 21,774 | 10.8 | 6,595,521 | 20.4 |
| ..$400 to $599 | H105 | 40,049 | 19.9 | 8,756,466 | 27.1 |
| ..$600 to $799 | H106 | 35,817 | 17.8 | 5,686,328 | 17.6 |
| ..$800 to $999 | H107 | 31,536 | 15.7 | 3,229,527 | 10.0 |
| ..$1,000 or more | H108 | 61,381 | 30.6 | 4,739,343 | 14.7 |
| ..Median (dollars) | H109 | 755 | 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 | 404,626 | 100.0 | 50,836,661 | 100.0 |
| ..Less than 20.0 percent | H111 | 140,807 | 34.8 | 24,183,280 | 47.6 |
| ..20.0 to 24.9 percent | H112 | 66,021 | 16.3 | 7,621,860 | 15.0 |
| ..25.0 to 29.9 percent | H113 | 47,651 | 11.8 | 5,016,096 | 9.9 |
| ..30.0 to 34.9 percent | H114 | 30,781 | 7.6 | 3,332,250 | 6.6 |
| ..35.0 percent or more | H115 | 119,366 | 29.5 | 10,683,175 | 21.0 |
| ..Not computed | H116 | 3,602 | -1.0 | 277,599 | -1.0 |
| .Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed) | H117 | 197,326 | 100.0 | 31,799,186 | 100.0 |
| ..Less than 10.0 percent | H118 | 95,491 | 48.4 | 14,658,010 | 46.1 |
| ..10.0 to 14.9 percent | H119 | 31,851 | 16.1 | 6,068,100 | 19.1 |
| ..15.0 to 19.9 percent | H120 | 18,676 | 9.5 | 3,345,349 | 10.5 |
| ..20.0 to 24.9 percent | H121 | 12,387 | 6.3 | 2,022,803 | 6.4 |
| ..25.0 to 29.9 percent | H122 | 7,140 | 3.6 | 1,293,336 | 4.1 |
| ..30.0 to 34.9 percent | H123 | 4,567 | 2.3 | 882,995 | 2.8 |
| ..35.0 percent or more | H124 | 27,214 | 13.8 | 3,528,593 | 11.1 |
| ..Not computed | H125 | 3,435 | -1.0 | 483,542 | -1.0 |
| GROSS RENT | |||||
| .Occupied units paying rent | H126 | 454,873 | 100.0 | 41,991,861 | 100.0 |
| ..Less than $500 | H127 | 11,488 | 2.5 | 3,320,529 | 7.9 |
| ..$500 to $999 | H128 | 13,145 | 2.9 | 12,202,521 | 29.1 |
| ..$1,000 to $1,499 | H129 | 57,228 | 12.6 | 12,853,108 | 30.6 |
| ..$1,500 to $1,999 | H130 | 124,616 | 27.4 | 7,483,407 | 17.8 |
| ..$2,000 to $2,499 | H131 | 116,142 | 25.5 | 3,236,958 | 7.7 |
| ..$2,500 to $2,999 | H132 | 60,501 | 13.3 | 1,310,696 | 3.1 |
| ..$3,000 or more | H133 | 71,753 | 15.8 | 1,584,642 | 3.8 |
| ..Median (dollars) | H134 | 2,090 | 1,191 | ||
| ..No rent paid | H135 | 13,331 | -1.0 | 2,155,881 | -1.0 |
| GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI) | |||||
| .Occupied units paying rent (excluding units where GRAPI cannot be computed) | H136 | 444,588 | 100.0 | 40,979,329 | 100.0 |
| ..Less than 15.0 percent | H137 | 39,048 | 8.8 | 5,229,582 | 12.8 |
| ..15.0 to 19.9 percent | H138 | 47,363 | 10.7 | 5,001,591 | 12.2 |
| ..20.0 to 24.9 percent | H139 | 52,569 | 11.8 | 5,122,898 | 12.5 |
| ..25.0 to 29.9 percent | H140 | 56,218 | 12.6 | 4,703,786 | 11.5 |
| ..30.0 to 34.9 percent | H141 | 42,596 | 9.6 | 3,737,862 | 9.1 |
| ..35.0 percent or more | H142 | 206,794 | 46.5 | 17,183,610 | 41.9 |
| ..Not computed | H143 | 23,616 | -1.0 | 3,168,413 | -1.0 |
| Industry | NAICS | Owner | Estabs | Estabs% | Emp | Emp% | Wages | Wages% | AWW |
| Total, all owners | 10 | 0 | 139,967 | 100.0 | 1,632,696 | 100.0 | 30,983,032,013 | 100.0 | 1,460 |
| Total, Federal | 10 | 1 | 119 | 0.1 | 10,719 | 0.7 | 242,429,897 | 0.8 | 1,740 |
| Total, State | 10 | 2 | 395 | 0.3 | 26,157 | 1.6 | 741,273,309 | 2.4 | 2,180 |
| Total, Local | 10 | 3 | 875 | 0.6 | 101,810 | 6.2 | 1,964,527,224 | 6.3 | 1,484 |
| Total, Private | 10 | 5 | 138,578 | 99.0 | 1,494,010 | 91.5 | 28,034,801,583 | 90.5 | 1,443 |
| Agriculture, forestry, fishing and hunting | 11 | 5 | 165 | 0.1 | 1,586 | 0.1 | 19,567,935 | 0.1 | 949 |
| Crop production | 111 | 5 | 89 | 0.1 | 1,074 | 0.1 | 13,390,658 | 0.0 | 959 |
| Animal production | 112 | 5 | 11 | 0.0 | 32 | 0.0 | 385,839 | 0.0 | 937 |
| Fishing, hunting and trapping | 114 | 5 | 9 | 0.0 | 31 | 0.0 | 289,707 | 0.0 | 727 |
| Agriculture and forestry support activities | 115 | 5 | 56 | 0.0 | 449 | 0.0 | 5,501,731 | 0.0 | 942 |
| Mining | 21 | 5 | 37 | 0.0 | 298 | 0.0 | 7,521,384 | 0.0 | 1,939 |
| Oil and gas extraction | 211 | 5 | 10 | 0.0 | 63 | 0.0 | 1,679,868 | 0.0 | 2,051 |
| Mining, except oil and gas | 212 | 5 | 5 | 0.0 | 56 | 0.0 | 1,159,200 | 0.0 | 1,592 |
| Support activities for mining | 213 | 5 | 22 | 0.0 | 179 | 0.0 | 4,682,316 | 0.0 | 2,008 |
| Utilities | 22 | 3 | 33 | 0.0 | 3,441 | 0.2 | 93,301,337 | 0.3 | 2,086 |
| Utilities | 22 | 5 | 115 | 0.1 | 3,059 | 0.2 | 110,070,562 | 0.4 | 2,768 |
| Utilities | 221 | 3 | 33 | 0.0 | 3,441 | 0.2 | 93,301,337 | 0.3 | 2,086 |
| Utilities | 221 | 5 | 115 | 0.1 | 3,059 | 0.2 | 110,070,562 | 0.4 | 2,768 |
| Construction | 23 | 3 | 9 | 0.0 | 441 | 0.0 | 7,114,729 | 0.0 | 1,241 |
| Construction | 23 | 5 | 8,152 | 5.8 | 106,652 | 6.5 | 2,436,179,439 | 7.9 | 1,757 |
| Construction of buildings | 236 | 5 | 2,818 | 2.0 | 23,681 | 1.5 | 580,944,509 | 1.9 | 1,887 |
| Heavy and civil engineering construction | 237 | 3 | 9 | 0.0 | 441 | 0.0 | 7,114,729 | 0.0 | 1,241 |
| Heavy and civil engineering construction | 237 | 5 | 330 | 0.2 | 9,269 | 0.6 | 319,631,523 | 1.0 | 2,653 |
| Specialty trade contractors | 238 | 5 | 5,004 | 3.6 | 73,702 | 4.5 | 1,535,603,407 | 5.0 | 1,603 |
| Manufacturing | 31-33 | 5 | 5,355 | 3.8 | 155,386 | 9.5 | 3,803,791,311 | 12.3 | 1,883 |
| Food manufacturing | 311 | 5 | 367 | 0.3 | 7,019 | 0.4 | 98,274,703 | 0.3 | 1,077 |
| Beverage and tobacco product manufacturing | 312 | 5 | 104 | 0.1 | 2,459 | 0.2 | 37,909,322 | 0.1 | 1,186 |
| Textile mills | 313 | 5 | 25 | 0.0 | 613 | 0.0 | 9,833,184 | 0.0 | 1,234 |
| Textile product mills | 314 | 5 | 84 | 0.1 | 1,329 | 0.1 | 20,204,778 | 0.1 | 1,170 |
| Apparel manufacturing | 315 | 5 | 210 | 0.2 | 3,853 | 0.2 | 68,273,129 | 0.2 | 1,363 |
| Leather and allied product manufacturing | 316 | 5 | 20 | 0.0 | 188 | 0.0 | 3,507,253 | 0.0 | 1,435 |
| Wood product manufacturing | 321 | 5 | 91 | 0.1 | 1,345 | 0.1 | 20,037,815 | 0.1 | 1,146 |
| Paper manufacturing | 322 | 5 | 58 | 0.0 | 1,876 | 0.1 | 46,809,077 | 0.2 | 1,919 |
| Printing and related support activities | 323 | 5 | 487 | 0.3 | 6,510 | 0.4 | 100,086,380 | 0.3 | 1,183 |
| Petroleum and coal products manufacturing | 324 | 5 | 16 | 0.0 | 164 | 0.0 | 3,634,715 | 0.0 | 1,705 |
| Chemical manufacturing | 325 | 5 | 337 | 0.2 | 8,563 | 0.5 | 209,632,750 | 0.7 | 1,883 |
| Plastics and rubber products manufacturing | 326 | 5 | 185 | 0.1 | 6,558 | 0.4 | 116,810,446 | 0.4 | 1,370 |
| Nonmetallic mineral product manufacturing | 327 | 5 | 104 | 0.1 | 1,201 | 0.1 | 22,467,466 | 0.1 | 1,439 |
| Primary metal manufacturing | 331 | 5 | 48 | 0.0 | 913 | 0.1 | 17,421,106 | 0.1 | 1,468 |
| Fabricated metal product manufacturing | 332 | 5 | 913 | 0.7 | 19,446 | 1.2 | 345,848,328 | 1.1 | 1,368 |
| Machinery manufacturing | 333 | 5 | 387 | 0.3 | 7,541 | 0.5 | 184,622,887 | 0.6 | 1,883 |
| Computer and electronic product manufacturing | 334 | 5 | 623 | 0.4 | 33,254 | 2.0 | 1,131,878,734 | 3.7 | 2,618 |
| Electrical equipment and appliance manufacturing | 335 | 5 | 183 | 0.1 | 4,906 | 0.3 | 105,703,993 | 0.3 | 1,657 |
| Transportation equipment manufacturing | 336 | 5 | 266 | 0.2 | 17,441 | 1.1 | 641,222,414 | 2.1 | 2,828 |
| Furniture and related product manufacturing | 337 | 5 | 191 | 0.1 | 4,726 | 0.3 | 81,281,293 | 0.3 | 1,323 |
| Miscellaneous manufacturing | 339 | 5 | 656 | 0.5 | 25,482 | 1.6 | 538,331,538 | 1.7 | 1,625 |
| Wholesale trade | 42 | 5 | 7,140 | 5.1 | 75,028 | 4.6 | 1,880,956,016 | 6.1 | 1,928 |
| Merchant wholesalers, durable goods | 423 | 5 | 3,866 | 2.8 | 45,894 | 2.8 | 1,203,066,303 | 3.9 | 2,016 |
| Merchant wholesalers, nondurable goods | 424 | 5 | 2,219 | 1.6 | 24,111 | 1.5 | 552,486,929 | 1.8 | 1,763 |
| Electronic markets and agents and brokers | 425 | 5 | 1,055 | 0.8 | 5,023 | 0.3 | 125,402,784 | 0.4 | 1,920 |
| Retail trade | 44-45 | 1 | 1 | 0.0 | 11 | 0.0 | 111,414 | 0.0 | 779 |
| Retail trade | 44-45 | 5 | 9,713 | 6.9 | 144,502 | 8.9 | 1,816,594,265 | 5.9 | 967 |
| Motor vehicle and parts dealers | 441 | 5 | 965 | 0.7 | 17,345 | 1.1 | 398,242,186 | 1.3 | 1,766 |
| Building material and garden supply stores | 444 | 5 | 502 | 0.4 | 11,656 | 0.7 | 161,626,692 | 0.5 | 1,067 |
| Food and beverage stores | 445 | 5 | 1,318 | 0.9 | 30,066 | 1.8 | 287,024,621 | 0.9 | 734 |
| Food and beverage stores | 449 | 5 | 1,067 | 0.8 | 10,738 | 0.7 | 158,392,379 | 0.5 | 1,135 |
| Food and beverage stores | 455 | 5 | 584 | 0.4 | 27,248 | 1.7 | 277,335,773 | 0.9 | 783 |
| Food and beverage stores | 456 | 5 | 1,465 | 1.0 | 13,086 | 0.8 | 179,562,607 | 0.6 | 1,056 |
| Food and beverage stores | 457 | 1 | 1 | 0.0 | 11 | 0.0 | 111,414 | 0.0 | 779 |
| Food and beverage stores | 457 | 5 | 540 | 0.4 | 4,733 | 0.3 | 47,083,195 | 0.2 | 765 |
| Food and beverage stores | 458 | 5 | 1,403 | 1.0 | 14,495 | 0.9 | 143,371,461 | 0.5 | 761 |
| Food and beverage stores | 459 | 5 | 1,869 | 1.3 | 15,136 | 0.9 | 163,955,351 | 0.5 | 833 |
| Transportation and warehousing | 48-49 | 1 | 54 | 0.0 | 5,141 | 0.3 | 97,247,061 | 0.3 | 1,455 |
| Transportation and warehousing | 48-49 | 3 | 25 | 0.0 | 2,715 | 0.2 | 59,424,602 | 0.2 | 1,684 |
| Transportation and warehousing | 48-49 | 5 | 2,011 | 1.4 | 30,315 | 1.9 | 460,464,876 | 1.5 | 1,168 |
| Air transportation | 481 | 5 | 38 | 0.0 | 1,246 | 0.1 | 25,516,958 | 0.1 | 1,575 |
| Rail transportation | 482 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Water transportation | 483 | 5 | 23 | 0.0 | 132 | 0.0 | 1,680,663 | 0.0 | 979 |
| Truck transportation | 484 | 5 | 914 | 0.7 | 6,200 | 0.4 | 95,834,964 | 0.3 | 1,189 |
| Transit and ground passenger transportation | 485 | 3 | 14 | 0.0 | 2,051 | 0.1 | 46,416,433 | 0.1 | 1,741 |
| Transit and ground passenger transportation | 485 | 5 | 146 | 0.1 | 2,775 | 0.2 | 36,236,055 | 0.1 | 1,004 |
| Pipeline transportation | 486 | 5 | 5 | 0.0 | 50 | 0.0 | 1,574,308 | 0.0 | 2,406 |
| Scenic and sightseeing transportation | 487 | 5 | 32 | 0.0 | 423 | 0.0 | 5,448,774 | 0.0 | 992 |
| Support activities for transportation | 488 | 3 | 3 | 0.0 | 179 | 0.0 | 5,377,389 | 0.0 | 2,315 |
| Support activities for transportation | 488 | 5 | 472 | 0.3 | 4,478 | 0.3 | 81,338,764 | 0.3 | 1,397 |
| Postal service | 491 | 1 | 54 | 0.0 | 5,141 | 0.3 | 97,247,061 | 0.3 | 1,455 |
| Postal service | 491 | 5 | 11 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Couriers and messengers | 492 | 5 | 239 | 0.2 | 9,061 | 0.6 | 113,539,737 | 0.4 | 964 |
| Warehousing and storage | 493 | 3 | 8 | 0.0 | 485 | 0.0 | 7,630,780 | 0.0 | 1,211 |
| Warehousing and storage | 493 | 5 | 130 | 0.1 | 5,908 | 0.4 | 98,913,709 | 0.3 | 1,288 |
| Information | 51 | 3 | 14 | 0.0 | 565 | 0.0 | 8,503,670 | 0.0 | 1,158 |
| Information | 51 | 5 | 1,628 | 1.2 | 24,035 | 1.5 | 852,324,296 | 2.8 | 2,728 |
| Motion picture and sound recording industries | 512 | 5 | 358 | 0.3 | 2,452 | 0.2 | 26,230,368 | 0.1 | 823 |
| Motion picture and sound recording industries | 513 | 5 | 551 | 0.4 | 9,786 | 0.6 | 427,923,251 | 1.4 | 3,364 |
| Internet publishing and broadcasting | 516 | 5 | 150 | 0.1 | 1,834 | 0.1 | 50,129,392 | 0.2 | 2,103 |
| Telecommunications | 517 | 5 | 285 | 0.2 | 5,648 | 0.3 | 156,965,364 | 0.5 | 2,138 |
| ISPs, search portals, and data processing | 518 | 3 | 1 | 0.0 | 14 | 0.0 | 496,857 | 0.0 | 2,666 |
| ISPs, search portals, and data processing | 518 | 5 | 244 | 0.2 | 3,119 | 0.2 | 101,312,878 | 0.3 | 2,499 |
| Other information services | 519 | 3 | 13 | 0.0 | 550 | 0.0 | 8,006,813 | 0.0 | 1,119 |
| Other information services | 519 | 5 | 40 | 0.0 | 1,196 | 0.1 | 89,763,043 | 0.3 | 5,772 |
| Finance and insurance | 52 | 1 | 2 | 0.0 | 51 | 0.0 | 1,748,342 | 0.0 | 2,654 |
| Finance and insurance | 52 | 5 | 6,966 | 5.0 | 70,600 | 4.3 | 2,345,749,672 | 7.6 | 2,556 |
| Monetary authorities - central bank | 521 | 5 | 5 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Credit intermediation and related activities | 522 | 1 | 1 | 0.0 | 10 | 0.0 | 395,352 | 0.0 | 3,146 |
| Credit intermediation and related activities | 522 | 5 | 2,433 | 1.7 | 36,651 | 2.2 | 1,011,985,938 | 3.3 | 2,124 |
| Securities, commodity contracts, investments | 523 | 5 | 1,938 | 1.4 | 11,815 | 0.7 | 724,565,742 | 2.3 | 4,717 |
| Insurance carriers and related activities | 524 | 1 | 1 | 0.0 | 41 | 0.0 | 1,352,990 | 0.0 | 2,538 |
| Insurance carriers and related activities | 524 | 5 | 2,470 | 1.8 | 21,615 | 1.3 | 588,520,752 | 1.9 | 2,094 |
| Funds, trusts, and other financial vehicles | 525 | 5 | 120 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
| Real estate and rental and leasing | 53 | 5 | 7,414 | 5.3 | 39,793 | 2.4 | 941,141,847 | 3.0 | 1,819 |
| Real estate | 531 | 5 | 6,820 | 4.9 | 33,917 | 2.1 | 821,595,036 | 2.7 | 1,863 |
| Rental and leasing services | 532 | 5 | 541 | 0.4 | 5,602 | 0.3 | 110,308,777 | 0.4 | 1,515 |
| Lessors of nonfinancial intangible assets | 533 | 5 | 53 | 0.0 | 274 | 0.0 | 9,238,034 | 0.0 | 2,597 |
| Professional and technical services | 54 | 1 | 1 | 0.0 | 77 | 0.0 | 2,120,961 | 0.0 | 2,128 |
| Professional and technical services | 54 | 3 | 9 | 0.0 | 218 | 0.0 | 5,785,924 | 0.0 | 2,045 |
| Professional and technical services | 54 | 5 | 19,392 | 13.9 | 138,269 | 8.5 | 3,858,678,258 | 12.5 | 2,147 |
| Professional and technical services | 541 | 1 | 1 | 0.0 | 77 | 0.0 | 2,120,961 | 0.0 | 2,128 |
| Professional and technical services | 541 | 3 | 9 | 0.0 | 218 | 0.0 | 5,785,924 | 0.0 | 2,045 |
| Professional and technical services | 541 | 5 | 19,392 | 13.9 | 138,269 | 8.5 | 3,858,678,258 | 12.5 | 2,147 |
| Management of companies and enterprises | 55 | 5 | 568 | 0.4 | 38,944 | 2.4 | 1,200,714,287 | 3.9 | 2,372 |
| Management of companies and enterprises | 551 | 5 | 568 | 0.4 | 38,944 | 2.4 | 1,200,714,287 | 3.9 | 2,372 |
| Administrative and waste services | 56 | 2 | 1 | 0.0 | 55 | 0.0 | 1,155,296 | 0.0 | 1,616 |
| Administrative and waste services | 56 | 3 | 10 | 0.0 | 546 | 0.0 | 9,819,803 | 0.0 | 1,383 |
| Administrative and waste services | 56 | 5 | 5,526 | 3.9 | 151,755 | 9.3 | 2,004,867,780 | 6.5 | 1,016 |
| Administrative and support services | 561 | 2 | 1 | 0.0 | 55 | 0.0 | 1,155,296 | 0.0 | 1,616 |
| Administrative and support services | 561 | 3 | 7 | 0.0 | 426 | 0.0 | 7,347,496 | 0.0 | 1,326 |
| Administrative and support services | 561 | 5 | 5,303 | 3.8 | 146,717 | 9.0 | 1,899,042,139 | 6.1 | 996 |
| Waste management and remediation services | 562 | 3 | 3 | 0.0 | 120 | 0.0 | 2,472,307 | 0.0 | 1,585 |
| Waste management and remediation services | 562 | 5 | 223 | 0.2 | 5,038 | 0.3 | 105,825,641 | 0.3 | 1,616 |
| Educational services | 61 | 2 | 217 | 0.2 | 15,588 | 1.0 | 505,721,946 | 1.6 | 2,496 |
| Educational services | 61 | 3 | 630 | 0.5 | 57,915 | 3.5 | 885,667,409 | 2.9 | 1,176 |
| Educational services | 61 | 5 | 1,915 | 1.4 | 32,980 | 2.0 | 405,421,158 | 1.3 | 946 |
| Educational services | 611 | 2 | 217 | 0.2 | 15,588 | 1.0 | 505,721,946 | 1.6 | 2,496 |
| Educational services | 611 | 3 | 630 | 0.5 | 57,915 | 3.5 | 885,667,409 | 2.9 | 1,176 |
| Educational services | 611 | 5 | 1,915 | 1.4 | 32,980 | 2.0 | 405,421,158 | 1.3 | 946 |
| Health care and social assistance | 62 | 1 | 2 | 0.0 | 40 | 0.0 | 908,104 | 0.0 | 1,761 |
| Health care and social assistance | 62 | 2 | 18 | 0.0 | 6,057 | 0.4 | 139,573,902 | 0.5 | 1,773 |
| Health care and social assistance | 62 | 3 | 4 | 0.0 | 68 | 0.0 | 530,359 | 0.0 | 600 |
| Health care and social assistance | 62 | 5 | 43,485 | 31.1 | 208,196 | 12.8 | 3,290,451,095 | 10.6 | 1,216 |
| Ambulatory health care services | 621 | 1 | 1 | 0.0 | 24 | 0.0 | 551,917 | 0.0 | 1,745 |
| Ambulatory health care services | 621 | 5 | 11,149 | 8.0 | 97,481 | 6.0 | 1,861,716,054 | 6.0 | 1,469 |
| Hospitals | 622 | 1 | 1 | 0.0 | 15 | 0.0 | 356,187 | 0.0 | 1,787 |
| Hospitals | 622 | 2 | 18 | 0.0 | 6,057 | 0.4 | 139,573,902 | 0.5 | 1,773 |
| Hospitals | 622 | 5 | 113 | 0.1 | 33,709 | 2.1 | 748,675,910 | 2.4 | 1,708 |
| Nursing and residential care facilities | 623 | 5 | 927 | 0.7 | 26,268 | 1.6 | 343,737,413 | 1.1 | 1,007 |
| Social assistance | 624 | 3 | 4 | 0.0 | 68 | 0.0 | 530,359 | 0.0 | 600 |
| Social assistance | 624 | 5 | 31,296 | 22.4 | 50,738 | 3.1 | 336,321,718 | 1.1 | 510 |
| Arts, entertainment, and recreation | 71 | 3 | 20 | 0.0 | 2,116 | 0.1 | 15,654,799 | 0.1 | 569 |
| Arts, entertainment, and recreation | 71 | 5 | 1,752 | 1.3 | 51,736 | 3.2 | 551,492,802 | 1.8 | 820 |
| Performing arts and spectator sports | 711 | 3 | 2 | 0.0 | 974 | 0.1 | 5,409,958 | 0.0 | 427 |
| Performing arts and spectator sports | 711 | 5 | 798 | 0.6 | 7,191 | 0.4 | 158,248,671 | 0.5 | 1,693 |
| Museums, historical sites, zoos, and parks | 712 | 3 | 1 | 0.0 | 16 | 0.0 | 120,593 | 0.0 | 568 |
| Museums, historical sites, zoos, and parks | 712 | 5 | 34 | 0.0 | 530 | 0.0 | 6,839,482 | 0.0 | 992 |
| Amusements, gambling, and recreation | 713 | 3 | 17 | 0.0 | 1,126 | 0.1 | 10,124,248 | 0.0 | 692 |
| Amusements, gambling, and recreation | 713 | 5 | 920 | 0.7 | 44,014 | 2.7 | 386,404,649 | 1.2 | 675 |
| Accommodation and food services | 72 | 1 | 1 | 0.0 | 42 | 0.0 | 276,048 | 0.0 | 506 |
| Accommodation and food services | 72 | 3 | 2 | 0.0 | 84 | 0.0 | 500,329 | 0.0 | 458 |
| Accommodation and food services | 72 | 5 | 8,537 | 6.1 | 170,419 | 10.4 | 1,449,067,004 | 4.7 | 654 |
| Accommodation | 721 | 1 | 1 | 0.0 | 42 | 0.0 | 276,048 | 0.0 | 506 |
| Accommodation | 721 | 5 | 610 | 0.4 | 23,809 | 1.5 | 311,866,388 | 1.0 | 1,008 |
| Food services and drinking places | 722 | 3 | 2 | 0.0 | 84 | 0.0 | 500,329 | 0.0 | 458 |
| Food services and drinking places | 722 | 5 | 7,927 | 5.7 | 146,610 | 9.0 | 1,137,200,616 | 3.7 | 597 |
| Other services, except public administration | 81 | 3 | 6 | 0.0 | 227 | 0.0 | 4,936,649 | 0.0 | 1,670 |
| Other services, except public administration | 81 | 5 | 8,171 | 5.8 | 50,086 | 3.1 | 591,605,644 | 1.9 | 909 |
| Repair and maintenance | 811 | 3 | 2 | 0.0 | 110 | 0.0 | 1,678,571 | 0.0 | 1,174 |
| Repair and maintenance | 811 | 5 | 2,333 | 1.7 | 15,630 | 1.0 | 236,399,110 | 0.8 | 1,163 |
| Personal and laundry services | 812 | 3 | 2 | 0.0 | 84 | 0.0 | 2,048,484 | 0.0 | 1,868 |
| Personal and laundry services | 812 | 5 | 3,199 | 2.3 | 18,925 | 1.2 | 158,855,431 | 0.5 | 646 |
| Membership associations and organizations | 813 | 3 | 2 | 0.0 | 33 | 0.0 | 1,209,594 | 0.0 | 2,820 |
| Membership associations and organizations | 813 | 5 | 1,218 | 0.9 | 13,629 | 0.8 | 176,109,260 | 0.6 | 994 |
| Private households | 814 | 5 | 1,421 | 1.0 | 1,902 | 0.1 | 20,241,843 | 0.1 | 819 |
| Public administration | 92 | 1 | 58 | 0.0 | 5,358 | 0.3 | 140,017,967 | 0.5 | 2,010 |
| Public administration | 92 | 2 | 159 | 0.1 | 4,457 | 0.3 | 94,822,165 | 0.3 | 1,637 |
| Public administration | 92 | 3 | 113 | 0.1 | 33,474 | 2.1 | 873,287,614 | 2.8 | 2,007 |
| Executive, legislative and general government | 921 | 1 | 7 | 0.0 | 725 | 0.0 | 19,539,537 | 0.1 | 2,074 |
| Executive, legislative and general government | 921 | 2 | 6 | 0.0 | 202 | 0.0 | 5,329,625 | 0.0 | 2,030 |
| Executive, legislative and general government | 921 | 3 | 67 | 0.0 | 17,622 | 1.1 | 374,181,531 | 1.2 | 1,633 |
| Justice, public order, and safety activities | 922 | 1 | 16 | 0.0 | 894 | 0.1 | 28,609,334 | 0.1 | 2,462 |
| Justice, public order, and safety activities | 922 | 2 | 12 | 0.0 | 393 | 0.0 | 7,689,077 | 0.0 | 1,505 |
| Justice, public order, and safety activities | 922 | 3 | 26 | 0.0 | 13,437 | 0.8 | 440,786,472 | 1.4 | 2,523 |
| Administration of human resource programs | 923 | 1 | 6 | 0.0 | 594 | 0.0 | 17,162,830 | 0.1 | 2,224 |
| Administration of human resource programs | 923 | 2 | 36 | 0.0 | 1,508 | 0.1 | 33,776,253 | 0.1 | 1,723 |
| Administration of human resource programs | 923 | 3 | 3 | 0.0 | 1,611 | 0.1 | 41,585,791 | 0.1 | 1,986 |
| Administration of environmental programs | 924 | 1 | 2 | 0.0 | 18 | 0.0 | 468,063 | 0.0 | 2,000 |
| Administration of environmental programs | 924 | 2 | 14 | 0.0 | 581 | 0.0 | 6,291,031 | 0.0 | 833 |
| Administration of environmental programs | 924 | 3 | 7 | 0.0 | 538 | 0.0 | 12,255,058 | 0.0 | 1,753 |
| Community and housing program administration | 925 | 1 | 1 | 0.0 | 148 | 0.0 | 4,286,500 | 0.0 | 2,223 |
| Community and housing program administration | 925 | 2 | 1 | 0.0 | 36 | 0.0 | 886,133 | 0.0 | 1,893 |
| Community and housing program administration | 925 | 3 | 7 | 0.0 | 233 | 0.0 | 3,838,771 | 0.0 | 1,267 |
| Administration of economic programs | 926 | 1 | 13 | 0.0 | 645 | 0.0 | 11,305,204 | 0.0 | 1,349 |
| Administration of economic programs | 926 | 2 | 89 | 0.1 | 1,695 | 0.1 | 40,294,138 | 0.1 | 1,829 |
| Administration of economic programs | 926 | 3 | 3 | 0.0 | 34 | 0.0 | 639,991 | 0.0 | 1,434 |
| Space research and technology | 927 | 1 | 1 | 0.0 | 5 | 0.0 | 186,146 | 0.0 | 2,685 |
| National security and international affairs | 928 | 1 | 12 | 0.0 | 2,329 | 0.1 | 58,460,353 | 0.2 | 1,931 |
| National security and international affairs | 928 | 2 | 1 | 0.0 | 42 | 0.0 | 555,908 | 0.0 | 1,010 |
| Unclassified establishments | 99 | 5 | 536 | 0.4 | 370 | 0.0 | 8,141,952 | 0.0 | 1,693 |
| Unclassified establishments | 999 | 5 | 536 | 0.4 | 370 | 0.0 | 8,141,952 | 0.0 | 1,693 |
