Area Name | Pop 2010 | Pop 2020 | Pop 2021 | Pop 2022 | Pop 2030 | Chg 2010-20 | %Chg 2010-20 | Chg 2020-30 | %Chg 2020-30 |
Gadsden County, FL | 47,792 | 43,701 | 43,714 | 43,476 | 41,568 | -4,091 | -8.6 | -2,134 | -4.9 |
Jefferson County, FL | 14,754 | 14,560 | 14,555 | 14,656 | 15,460 | -194 | -1.3 | 900 | 6.2 |
Leon County, FL | 275,981 | 292,378 | 292,817 | 293,355 | 297,655 | 16,397 | 5.9 | 5,277 | 1.8 |
Wakulla County, FL | 30,824 | 33,907 | 34,690 | 35,370 | 40,810 | 3,083 | 10.0 | 6,903 | 20.4 |
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 | $42,393 | 13,300 | 25.0 | 53,253 | 8,197 | 21.7 | 37,819 | 68,765 | 26.3 | 261,915 |
2011 | $44,857 | 11,621 | 22.5 | 51,726 | 7,530 | 20.4 | 36,866 | 59,835 | 22.7 | 263,856 |
2012 | $46,014 | 10,806 | 20.7 | 52,256 | 7,401 | 19.8 | 37,440 | 57,223 | 21.2 | 269,537 |
2013 | $46,975 | 12,029 | 22.6 | 53,300 | 8,321 | 21.8 | 38,214 | 58,109 | 21.7 | 267,556 |
2014 | $45,463 | 12,157 | 22.8 | 53,314 | 8,034 | 20.9 | 38,478 | 62,734 | 23.3 | 269,621 |
2015 | $46,405 | 11,960 | 22.3 | 53,603 | 8,179 | 21.2 | 38,616 | 59,366 | 21.8 | 272,136 |
2016 | $51,041 | 10,019 | 18.9 | 52,984 | 6,491 | 17.1 | 38,051 | 52,124 | 19.0 | 273,836 |
2017 | $51,716 | 9,639 | 18.0 | 53,562 | 6,798 | 17.6 | 38,673 | 50,010 | 18.0 | 277,128 |
2018 | $51,046 | 10,788 | 20.1 | 53,748 | 7,270 | 18.8 | 38,625 | 57,656 | 20.7 | 278,196 |
2019 | $55,081 | 11,816 | 22.0 | 53,756 | 7,782 | 20.1 | 38,660 | 58,203 | 20.8 | 279,247 |
2020 | $61,403 | 11,832 | 22.0 | 53,745 | 7,965 | 20.5 | 38,941 | 49,598 | 17.6 | 281,093 |
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 | $44,390 | 929,620 | 23.6 | 3,938,186 | 628,165 | 21.9 | 2,864,957 | 3,048,621 | 16.5 | 18,436,765 |
2011 | $44,250 | 985,615 | 25.1 | 3,932,909 | 670,753 | 23.5 | 2,859,492 | 3,178,155 | 17.0 | 18,652,058 |
2012 | $45,006 | 1,011,096 | 25.6 | 3,944,810 | 693,284 | 24.1 | 2,873,933 | 3,248,276 | 17.2 | 18,912,451 |
2013 | $46,021 | 982,272 | 24.8 | 3,953,274 | 678,022 | 23.5 | 2,881,447 | 3,268,130 | 17.1 | 19,129,965 |
2014 | $47,439 | 962,857 | 24.2 | 3,984,878 | 666,307 | 22.9 | 2,908,298 | 3,231,142 | 16.6 | 19,470,220 |
2015 | $49,416 | 944,415 | 23.4 | 4,036,757 | 646,658 | 22.0 | 2,941,155 | 3,129,061 | 15.8 | 19,850,025 |
2016 | $50,857 | 869,892 | 21.3 | 4,082,318 | 594,181 | 20.1 | 2,961,031 | 2,986,237 | 14.8 | 20,191,307 |
2017 | $52,582 | 850,924 | 20.6 | 4,138,314 | 589,055 | 19.6 | 3,007,194 | 2,901,876 | 14.1 | 20,569,893 |
2018 | $55,433 | 831,420 | 20.0 | 4,163,488 | 569,270 | 18.8 | 3,027,730 | 2,854,438 | 13.7 | 20,882,673 |
2019 | $59,198 | 754,366 | 18.2 | 4,150,173 | 512,439 | 16.9 | 3,026,836 | 2,681,832 | 12.7 | 21,048,962 |
2020 | $61,724 | 714,847 | 17.2 | 4,165,785 | 504,335 | 16.5 | 3,051,437 | 2,642,642 | 12.4 | 21,304,139 |
Year | Med HH Inc | Ages 0-17 in Poverty | Ages 0-17 Poverty Rate | Ages 0-17 Universe | Ages 5-17 in Families in Poverty | Ages 5-17 in Families Poverty Rate | Ages 5-17 in Families Universe | All Ages in Poverty | All Ages Poverty Rate | All Ages Universe |
2010 | $50,046 | 15,749,129 | 21.6 | 73,024,577 | 10,484,513 | 19.8 | 52,872,735 | 46,215,956 | 15.3 | 301,535,021 |
2011 | $50,502 | 16,386,500 | 22.5 | 72,802,773 | 10,976,987 | 20.8 | 52,708,799 | 48,452,035 | 15.9 | 303,778,193 |
2012 | $51,371 | 16,396,863 | 22.6 | 72,605,436 | 11,086,537 | 21.0 | 52,675,863 | 48,760,123 | 15.9 | 306,086,063 |
2013 | $52,250 | 16,086,960 | 22.2 | 72,382,173 | 10,958,232 | 20.8 | 52,605,987 | 48,810,868 | 15.8 | 308,196,783 |
2014 | $53,657 | 15,686,012 | 21.7 | 72,386,485 | 10,714,518 | 20.4 | 52,594,799 | 48,208,387 | 15.5 | 310,899,910 |
2015 | $55,775 | 15,000,273 | 20.7 | 72,454,786 | 10,245,028 | 19.5 | 52,635,679 | 46,153,077 | 14.7 | 313,476,400 |
2016 | $57,617 | 14,115,713 | 19.5 | 72,452,603 | 9,648,486 | 18.3 | 52,644,648 | 44,268,996 | 14.0 | 315,165,470 |
2017 | $60,336 | 13,353,202 | 18.4 | 72,452,925 | 9,120,503 | 17.3 | 52,669,201 | 42,583,651 | 13.4 | 317,741,588 |
2018 | $61,937 | 12,997,532 | 18.0 | 72,163,269 | 8,930,152 | 17.0 | 52,529,919 | 41,852,315 | 13.1 | 319,184,033 |
2019 | $65,712 | 12,000,470 | 16.8 | 71,633,453 | 8,258,906 | 15.8 | 52,324,733 | 39,490,096 | 12.3 | 320,118,791 |
2020 | $67,340 | 11,204,423 | 15.7 | 71,388,957 | 7,798,566 | 14.9 | 52,357,364 | 38,371,394 | 11.9 | 321,478,113 |
Population 7/1/20 | 292,378 |
Births 6/30/19-7/1/20 | 2,880 |
Deaths 6/30/19-7/1/20 | 2,676 |
Natural Increase 6/30/19-7/1/20 | 204 |
International Migration 6/30/19-7/1/20 | 16 |
Domestic Migration 6/30/19-7/1/20 | 484 |
Net Migration 6/30/19-7/1/20 | 500 |
Population 7/1/21 | 292,817 |
Births 6/30/20-7/1/21 | 2,826 |
Deaths 6/30/20-7/1/21 | 2,503 |
Natural Increase 6/30/20-7/1/21 | 323 |
International Migration 6/30/20-7/1/21 | 189 |
Domestic Migration 6/30/20-7/1/21 | -141 |
Net Migration 6/30/20-7/1/21 | 48 |
Subject Matter Item | 2010 | 2010% | 2020 | 2020% | 2010-20 Change | 2010-20% Change |
Total population | 275,487 | 100.0 | 292,198 | 100.0 | 16,711 | 6.1 |
One race | 269,365 | 97.8 | 270,566 | 92.6 | 1,201 | 0.4 |
White alone | 173,480 | 63.0 | 163,927 | 56.1 | -9,553 | -5.5 |
Black alone | 83,520 | 30.3 | 88,862 | 30.4 | 5,342 | 6.4 |
American India/Alaskan Native alone | 775 | 0.3 | 838 | 0.3 | 63 | 8.1 |
Asian alone | 8,053 | 2.9 | 10,590 | 3.6 | 2,537 | 31.5 |
Native Hawaiian and Other Pacific Islander alone | 140 | 0.1 | 174 | 0.1 | 34 | 24.3 |
Other race | 3,397 | 1.2 | 6,175 | 2.1 | 2,778 | 81.8 |
Two or more races | 6,122 | 2.2 | 21,632 | 7.4 | 15,510 | 253.3 |
White, Non-Hispanic | 163,483 | 59.3 | 157,458 | 53.9 | -6,025 | -3.7 |
Black Non-Hispanic | 82,386 | 29.9 | 87,503 | 29.9 | 5,117 | 6.2 |
Hispanic (of any race) | 15,361 | 5.6 | 22,914 | 7.8 | 7,553 | 49.2 |
Total population, 18 years or older | 221,514 | 80.4 | 236,591 | 81.0 | 15,077 | 6.8 |
One race | 217,808 | 79.1 | 221,022 | 75.6 | 3,214 | 1.5 |
White alone | 145,158 | 52.7 | 139,143 | 47.6 | -6,015 | -4.1 |
Black alone | 63,061 | 22.9 | 67,873 | 23.2 | 4,812 | 7.6 |
American India/Alaskan Native alone | 627 | 0.2 | 695 | 0.2 | 68 | 10.8 |
Asian alone | 6,299 | 2.3 | 8,451 | 2.9 | 2,152 | 34.2 |
Native Hawaiian and Other Pacific Islander alone | 122 | 0.0 | 136 | 0.0 | 14 | 11.5 |
Other race | 2,541 | 0.9 | 4,724 | 1.6 | 2,183 | 85.9 |
Two or more races | 3,706 | 1.3 | 15,569 | 5.3 | 11,863 | 320.1 |
White, Non-Hispanic | 137,019 | 49.7 | 134,029 | 45.9 | -2,990 | -2.2 |
Black Non-Hispanic | 62,262 | 22.6 | 66,923 | 22.9 | 4,661 | 7.5 |
Hispanic (of any race) | 12,098 | 4.4 | 17,673 | 6.0 | 5,575 | 46.1 |
Group Quarters population | 14,994 | 5.4 | 14,940 | 5.1 | -54 | -0.4 |
Group Quarters, institutionalized population | 3,505 | 1.3 | 3,496 | 1.2 | -9 | -0.3 |
Group Quarters, noninstitutionalized population | 11,489 | 4.2 | 11,444 | 3.9 | -45 | -0.4 |
Housing Units | 124,136 | 100.0 | 133,478 | 100.0 | 9,342 | 7.5 |
Occupied | 110,945 | 89.4 | 121,085 | 90.7 | 10,140 | 9.1 |
Vacant | 13,191 | 10.6 | 12,393 | 9.3 | -798 | -6.0 |
Population/Component | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
Population | 275,981 | 278,420 | 283,707 | 282,006 | 283,923 | 286,098 | 286,960 | 291,125 | 291,905 | 293,866 | 295,460 |
Births | 749 | 3,056 | 2,988 | 3,036 | 3,036 | 3,077 | 3,041 | 3,067 | 3,030 | 2,933 | 2,919 |
Deaths | 349 | 1,656 | 1,669 | 1,864 | 1,703 | 1,823 | 1,759 | 1,903 | 1,989 | 2,045 | 2,175 |
Natural Increase | 400 | 1,400 | 1,319 | 1,172 | 1,333 | 1,254 | 1,282 | 1,164 | 1,041 | 888 | 744 |
Net Migration | 128 | 1,039 | 3,823 | -2,980 | 649 | 957 | -426 | 2,989 | -267 | 1,066 | 826 |
International | 152 | 637 | 664 | 637 | 682 | 709 | 775 | 756 | 528 | 383 | 342 |
Domestic | 342 | -24 | 402 | 3,159 | -3,617 | -33 | 248 | -1,201 | 2,233 | -795 | 683 |
Group Quarters | 15,123 | 15,262 | 15,091 | 15,288 | 15,108 | 14,873 | 14,253 | 15,098 | 15,129 | 15,014 | 15,011 |
City/Place | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
Tallahassee city 1270600 | 181,438 | 182,997 | 186,298 | 185,602 | 187,094 | 188,645 | 188,870 | 191,655 | 192,763 | 194,500 | |
Balance of Leon County 1299990 | 94,533 | 95,374 | 97,322 | 96,285 | 96,676 | 97,259 | 97,874 | 99,310 | 98,894 | 99,082 |
Residence 1 Year Age | Geocode | Moved to 12073 | Moved from 12073 | Net Movers |
Africa | null | 156 | null | null |
Asia | null | 750 | null | null |
Central America | null | 92 | null | null |
Caribbean | null | 178 | null | null |
Europe | null | 146 | null | null |
U.S. Island Areas | null | 98 | null | null |
Northern America | null | 137 | null | null |
South America | null | 163 | null | null |
Baldwin County, Alabama | 01003 | 8 | 8 | 0 |
Barbour County, Alabama | 01005 | 0 | 8 | -8 |
Coffee County, Alabama | 01031 | 0 | 11 | -11 |
Cullman County, Alabama | 01043 | 29 | 0 | 29 |
Dale County, Alabama | 01045 | 20 | 0 | 20 |
DeKalb County, Alabama | 01049 | 9 | 0 | 9 |
Geneva County, Alabama | 01061 | 9 | 0 | 9 |
Houston County, Alabama | 01069 | 19 | 22 | -3 |
Jefferson County, Alabama | 01073 | 27 | 33 | -6 |
Lee County, Alabama | 01081 | 0 | 35 | -35 |
Mobile County, Alabama | 01097 | 33 | 18 | 15 |
Montgomery County, Alabama | 01101 | 11 | 22 | -11 |
Pickens County, Alabama | 01107 | 32 | 18 | 14 |
Shelby County, Alabama | 01117 | 54 | 0 | 54 |
Tuscaloosa County, Alabama | 01125 | 7 | 39 | -32 |
Juneau City and Borough, Alaska | 02110 | 24 | 0 | 24 |
Skagway Municipality, Alaska | 02230 | 0 | 1 | -1 |
Wrangell City and Borough, Alaska | 02275 | 0 | 4 | -4 |
Maricopa County, Arizona | 04013 | 40 | 59 | -19 |
Pima County, Arizona | 04019 | 83 | 38 | 45 |
Pinal County, Arizona | 04021 | 0 | 3 | -3 |
Craighead County, Arkansas | 05031 | 34 | 0 | 34 |
Crittenden County, Arkansas | 05035 | 0 | 10 | -10 |
Faulkner County, Arkansas | 05045 | 19 | 0 | 19 |
Montgomery County, Arkansas | 05097 | 77 | 0 | 77 |
Ouachita County, Arkansas | 05103 | 25 | 0 | 25 |
Pulaski County, Arkansas | 05119 | 38 | 0 | 38 |
Alameda County, California | 06001 | 0 | 24 | -24 |
Contra Costa County, California | 06013 | 7 | 0 | 7 |
Los Angeles County, California | 06037 | 99 | 50 | 49 |
Orange County, California | 06059 | 0 | 92 | -92 |
Riverside County, California | 06065 | 0 | 53 | -53 |
Sacramento County, California | 06067 | 0 | 12 | -12 |
San Bernardino County, California | 06071 | 43 | 0 | 43 |
San Diego County, California | 06073 | 37 | 79 | -42 |
San Francisco County, California | 06075 | 75 | 59 | 16 |
San Mateo County, California | 06081 | 0 | 56 | -56 |
Santa Clara County, California | 06085 | 54 | 3 | 51 |
Siskiyou County, California | 06093 | 15 | 0 | 15 |
Tulare County, California | 06107 | 0 | 7 | -7 |
Arapahoe County, Colorado | 08005 | 7 | 0 | 7 |
Boulder County, Colorado | 08013 | 41 | 29 | 12 |
Broomfield County, Colorado | 08014 | 14 | 0 | 14 |
Denver County, Colorado | 08031 | 30 | 0 | 30 |
Douglas County, Colorado | 08035 | 17 | 0 | 17 |
Jefferson County, Colorado | 08059 | 0 | 74 | -74 |
La Plata County, Colorado | 08067 | 0 | 58 | -58 |
Weld County, Colorado | 08123 | 30 | 29 | 1 |
Fairfield County, Connecticut | 09001 | 52 | 118 | -66 |
Hartford County, Connecticut | 09003 | 82 | 15 | 67 |
Litchfield County, Connecticut | 09005 | 9 | 0 | 9 |
New Haven County, Connecticut | 09009 | 45 | 0 | 45 |
Tolland County, Connecticut | 09013 | 109 | 0 | 109 |
New Castle County, Delaware | 10003 | 105 | 0 | 105 |
District of Columbia, District of Columbia | 11001 | 38 | 49 | -11 |
Alachua County, Florida | 12001 | 484 | 630 | -146 |
Baker County, Florida | 12003 | 35 | 40 | -5 |
Bay County, Florida | 12005 | 249 | 180 | 69 |
Bradford County, Florida | 12007 | 0 | 8 | -8 |
Brevard County, Florida | 12009 | 437 | 183 | 254 |
Broward County, Florida | 12011 | 1647 | 728 | 919 |
Calhoun County, Florida | 12013 | 25 | 8 | 17 |
Charlotte County, Florida | 12015 | 118 | 70 | 48 |
Citrus County, Florida | 12017 | 87 | 104 | -17 |
Clay County, Florida | 12019 | 196 | 177 | 19 |
Collier County, Florida | 12021 | 235 | 6 | 229 |
Columbia County, Florida | 12023 | 12 | 194 | -182 |
DeSoto County, Florida | 12027 | 5 | 32 | -27 |
Duval County, Florida | 12031 | 830 | 1273 | -443 |
Escambia County, Florida | 12033 | 311 | 414 | -103 |
Flagler County, Florida | 12035 | 46 | 106 | -60 |
Franklin County, Florida | 12037 | 60 | 59 | 1 |
Gadsden County, Florida | 12039 | 1451 | 688 | 763 |
Gilchrist County, Florida | 12041 | 10 | 20 | -10 |
Glades County, Florida | 12043 | 0 | 14 | -14 |
Gulf County, Florida | 12045 | 30 | 0 | 30 |
Hamilton County, Florida | 12047 | 18 | 22 | -4 |
Hendry County, Florida | 12051 | 94 | 9 | 85 |
Hernando County, Florida | 12053 | 223 | 26 | 197 |
Highlands County, Florida | 12055 | 34 | 51 | -17 |
Hillsborough County, Florida | 12057 | 1750 | 726 | 1024 |
Holmes County, Florida | 12059 | 0 | 52 | -52 |
Indian River County, Florida | 12061 | 104 | 0 | 104 |
Jackson County, Florida | 12063 | 124 | 134 | -10 |
Jefferson County, Florida | 12065 | 132 | 171 | -39 |
Lafayette County, Florida | 12067 | 0 | 10 | -10 |
Lake County, Florida | 12069 | 382 | 148 | 234 |
Lee County, Florida | 12071 | 2521 | 54 | 2467 |
Levy County, Florida | 12075 | 0 | 45 | -45 |
Liberty County, Florida | 12077 | 5 | 18 | -13 |
Madison County, Florida | 12079 | 92 | 122 | -30 |
Manatee County, Florida | 12081 | 211 | 746 | -535 |
Marion County, Florida | 12083 | 448 | 159 | 289 |
Martin County, Florida | 12085 | 119 | 61 | 58 |
Miami-Dade County, Florida | 12086 | 1452 | 662 | 790 |
Monroe County, Florida | 12087 | 283 | 0 | 283 |
Nassau County, Florida | 12089 | 20 | 0 | 20 |
Okaloosa County, Florida | 12091 | 265 | 251 | 14 |
Okeechobee County, Florida | 12093 | 0 | 11 | -11 |
Orange County, Florida | 12095 | 974 | 905 | 69 |
Osceola County, Florida | 12097 | 187 | 60 | 127 |
Palm Beach County, Florida | 12099 | 1018 | 645 | 373 |
Pasco County, Florida | 12101 | 47 | 174 | -127 |
Pinellas County, Florida | 12103 | 634 | 225 | 409 |
Polk County, Florida | 12105 | 194 | 164 | 30 |
Putnam County, Florida | 12107 | 14 | 0 | 14 |
St. Johns County, Florida | 12109 | 276 | 239 | 37 |
St. Lucie County, Florida | 12111 | 129 | 67 | 62 |
Santa Rosa County, Florida | 12113 | 127 | 101 | 26 |
Sarasota County, Florida | 12115 | 222 | 182 | 40 |
Seminole County, Florida | 12117 | 413 | 413 | 0 |
Sumter County, Florida | 12119 | 18 | 41 | -23 |
Suwannee County, Florida | 12121 | 0 | 40 | -40 |
Taylor County, Florida | 12123 | 121 | 42 | 79 |
Union County, Florida | 12125 | 0 | 21 | -21 |
Volusia County, Florida | 12127 | 374 | 399 | -25 |
Wakulla County, Florida | 12129 | 630 | 610 | 20 |
Walton County, Florida | 12131 | 36 | 106 | -70 |
Washington County, Florida | 12133 | 0 | 127 | -127 |
Barrow County, Georgia | 13013 | 0 | 4 | -4 |
Bibb County, Georgia | 13021 | 60 | 0 | 60 |
Brooks County, Georgia | 13027 | 0 | 27 | -27 |
Bryan County, Georgia | 13029 | 62 | 0 | 62 |
Camden County, Georgia | 13039 | 44 | 0 | 44 |
Chatham County, Georgia | 13051 | 0 | 10 | -10 |
Cherokee County, Georgia | 13057 | 7 | 85 | -78 |
Clarke County, Georgia | 13059 | 0 | 24 | -24 |
Clayton County, Georgia | 13063 | 15 | 0 | 15 |
Cobb County, Georgia | 13067 | 302 | 238 | 64 |
Coffee County, Georgia | 13069 | 18 | 0 | 18 |
Colquitt County, Georgia | 13071 | 9 | 26 | -17 |
Cook County, Georgia | 13075 | 24 | 0 | 24 |
Coweta County, Georgia | 13077 | 0 | 27 | -27 |
Decatur County, Georgia | 13087 | 208 | 103 | 105 |
DeKalb County, Georgia | 13089 | 48 | 232 | -184 |
Dougherty County, Georgia | 13095 | 0 | 81 | -81 |
Early County, Georgia | 13099 | 79 | 0 | 79 |
Emanuel County, Georgia | 13107 | 0 | 5 | -5 |
Fayette County, Georgia | 13113 | 0 | 40 | -40 |
Forsyth County, Georgia | 13117 | 22 | 0 | 22 |
Fulton County, Georgia | 13121 | 255 | 290 | -35 |
Gordon County, Georgia | 13129 | 28 | 7 | 21 |
Grady County, Georgia | 13131 | 157 | 112 | 45 |
Gwinnett County, Georgia | 13135 | 100 | 19 | 81 |
Hall County, Georgia | 13139 | 0 | 24 | -24 |
Harris County, Georgia | 13145 | 0 | 7 | -7 |
Heard County, Georgia | 13149 | 0 | 2 | -2 |
Houston County, Georgia | 13153 | 0 | 110 | -110 |
Liberty County, Georgia | 13179 | 0 | 8 | -8 |
Lowndes County, Georgia | 13185 | 14 | 62 | -48 |
Muscogee County, Georgia | 13215 | 17 | 4 | 13 |
Oconee County, Georgia | 13219 | 10 | 0 | 10 |
Randolph County, Georgia | 13243 | 32 | 0 | 32 |
Rockdale County, Georgia | 13247 | 41 | 0 | 41 |
Screven County, Georgia | 13251 | 19 | 0 | 19 |
Seminole County, Georgia | 13253 | 0 | 15 | -15 |
Stewart County, Georgia | 13259 | 0 | 8 | -8 |
Telfair County, Georgia | 13271 | 0 | 9 | -9 |
Thomas County, Georgia | 13275 | 144 | 199 | -55 |
Union County, Georgia | 13291 | 67 | 0 | 67 |
Honolulu County, Hawaii | 15003 | 77 | 48 | 29 |
Bonneville County, Idaho | 16019 | 0 | 13 | -13 |
Elmore County, Idaho | 16039 | 0 | 9 | -9 |
Champaign County, Illinois | 17019 | 0 | 52 | -52 |
Cook County, Illinois | 17031 | 84 | 243 | -159 |
DuPage County, Illinois | 17043 | 98 | 10 | 88 |
Johnson County, Illinois | 17087 | 218 | 0 | 218 |
Kane County, Illinois | 17089 | 0 | 22 | -22 |
Lake County, Illinois | 17097 | 9 | 0 | 9 |
Richland County, Illinois | 17159 | 0 | 23 | -23 |
Will County, Illinois | 17197 | 27 | 0 | 27 |
Winnebago County, Illinois | 17201 | 23 | 0 | 23 |
Allen County, Indiana | 18003 | 26 | 34 | -8 |
Fayette County, Indiana | 18041 | 8 | 0 | 8 |
Hamilton County, Indiana | 18057 | 0 | 32 | -32 |
Johnson County, Indiana | 18081 | 0 | 29 | -29 |
Kosciusko County, Indiana | 18085 | 0 | 3 | -3 |
Marion County, Indiana | 18097 | 18 | 44 | -26 |
Monroe County, Indiana | 18105 | 40 | 0 | 40 |
Newton County, Indiana | 18111 | 0 | 3 | -3 |
Owen County, Indiana | 18119 | 34 | 0 | 34 |
Des Moines County, Iowa | 19057 | 0 | 10 | -10 |
Dickinson County, Iowa | 19059 | 68 | 0 | 68 |
Story County, Iowa | 19169 | 0 | 10 | -10 |
Warren County, Iowa | 19181 | 32 | 0 | 32 |
Douglas County, Kansas | 20045 | 0 | 40 | -40 |
Johnson County, Kansas | 20091 | 14 | 0 | 14 |
McPherson County, Kansas | 20113 | 35 | 0 | 35 |
Boone County, Kentucky | 21015 | 69 | 0 | 69 |
Christian County, Kentucky | 21047 | 71 | 0 | 71 |
Fayette County, Kentucky | 21067 | 56 | 6 | 50 |
Franklin County, Kentucky | 21073 | 13 | 0 | 13 |
Jefferson County, Kentucky | 21111 | 0 | 44 | -44 |
Kenton County, Kentucky | 21117 | 22 | 0 | 22 |
Martin County, Kentucky | 21159 | 18 | 0 | 18 |
Oldham County, Kentucky | 21185 | 36 | 0 | 36 |
Jefferson Parish, Louisiana | 22051 | 7 | 0 | 7 |
Lafayette Parish, Louisiana | 22055 | 4 | 0 | 4 |
Orleans Parish, Louisiana | 22071 | 156 | 9 | 147 |
St. Tammany Parish, Louisiana | 22103 | 0 | 6 | -6 |
Vernon Parish, Louisiana | 22115 | 19 | 0 | 19 |
West Baton Rouge Parish, Louisiana | 22121 | 62 | 0 | 62 |
Cumberland County, Maine | 23005 | 19 | 0 | 19 |
Kennebec County, Maine | 23011 | 0 | 9 | -9 |
Anne Arundel County, Maryland | 24003 | 95 | 0 | 95 |
Baltimore County, Maryland | 24005 | 13 | 22 | -9 |
Charles County, Maryland | 24017 | 27 | 0 | 27 |
Montgomery County, Maryland | 24031 | 33 | 102 | -69 |
Prince George's County, Maryland | 24033 | 203 | 16 | 187 |
Washington County, Maryland | 24043 | 63 | 0 | 63 |
Barnstable County, Massachusetts | 25001 | 21 | 0 | 21 |
Bristol County, Massachusetts | 25005 | 10 | 0 | 10 |
Essex County, Massachusetts | 25009 | 31 | 0 | 31 |
Hampden County, Massachusetts | 25013 | 23 | 0 | 23 |
Middlesex County, Massachusetts | 25017 | 36 | 10 | 26 |
Suffolk County, Massachusetts | 25025 | 15 | 94 | -79 |
Worcester County, Massachusetts | 25027 | 6 | 33 | -27 |
Bay County, Michigan | 26017 | 33 | 0 | 33 |
Houghton County, Michigan | 26061 | 0 | 18 | -18 |
Ingham County, Michigan | 26065 | 22 | 103 | -81 |
Jackson County, Michigan | 26075 | 20 | 0 | 20 |
Mecosta County, Michigan | 26107 | 9 | 0 | 9 |
Muskegon County, Michigan | 26121 | 35 | 0 | 35 |
Oakland County, Michigan | 26125 | 0 | 32 | -32 |
Ottawa County, Michigan | 26139 | 31 | 0 | 31 |
Sanilac County, Michigan | 26151 | 73 | 0 | 73 |
Washtenaw County, Michigan | 26161 | 8 | 0 | 8 |
Wayne County, Michigan | 26163 | 36 | 26 | 10 |
Dakota County, Minnesota | 27037 | 0 | 45 | -45 |
Hennepin County, Minnesota | 27053 | 0 | 17 | -17 |
Mille Lacs County, Minnesota | 27095 | 0 | 33 | -33 |
Nicollet County, Minnesota | 27103 | 24 | 0 | 24 |
St. Louis County, Minnesota | 27137 | 0 | 45 | -45 |
Scott County, Minnesota | 27139 | 0 | 17 | -17 |
Wright County, Minnesota | 27171 | 0 | 15 | -15 |
DeSoto County, Mississippi | 28033 | 0 | 35 | -35 |
Forrest County, Mississippi | 28035 | 8 | 103 | -95 |
Harrison County, Mississippi | 28047 | 12 | 0 | 12 |
Kemper County, Mississippi | 28069 | 13 | 0 | 13 |
Lafayette County, Mississippi | 28071 | 45 | 0 | 45 |
Lauderdale County, Mississippi | 28075 | 0 | 25 | -25 |
Rankin County, Mississippi | 28121 | 11 | 22 | -11 |
Boone County, Missouri | 29019 | 74 | 0 | 74 |
Buchanan County, Missouri | 29021 | 0 | 83 | -83 |
Cape Girardeau County, Missouri | 29031 | 0 | 26 | -26 |
Greene County, Missouri | 29077 | 15 | 0 | 15 |
Jackson County, Missouri | 29095 | 12 | 24 | -12 |
Newton County, Missouri | 29145 | 49 | 0 | 49 |
St. Charles County, Missouri | 29183 | 12 | 22 | -10 |
Stone County, Missouri | 29209 | 0 | 14 | -14 |
Vernon County, Missouri | 29217 | 0 | 19 | -19 |
St. Louis city, Missouri | 29510 | 40 | 22 | 18 |
Douglas County, Nebraska | 31055 | 0 | 10 | -10 |
Polk County, Nebraska | 31143 | 0 | 3 | -3 |
Richardson County, Nebraska | 31147 | 11 | 0 | 11 |
Clark County, Nevada | 32003 | 17 | 29 | -12 |
Rockingham County, New Hampshire | 33015 | 0 | 16 | -16 |
Burlington County, New Jersey | 34005 | 0 | 12 | -12 |
Essex County, New Jersey | 34013 | 9 | 0 | 9 |
Gloucester County, New Jersey | 34015 | 0 | 14 | -14 |
Mercer County, New Jersey | 34021 | 17 | 0 | 17 |
Middlesex County, New Jersey | 34023 | 50 | 17 | 33 |
Monmouth County, New Jersey | 34025 | 59 | 5 | 54 |
Morris County, New Jersey | 34027 | 89 | 0 | 89 |
Warren County, New Jersey | 34041 | 11 | 0 | 11 |
Bernalillo County, New Mexico | 35001 | 12 | 0 | 12 |
Albany County, New York | 36001 | 0 | 6 | -6 |
Allegany County, New York | 36003 | 20 | 0 | 20 |
Chautauqua County, New York | 36013 | 24 | 0 | 24 |
Erie County, New York | 36029 | 18 | 70 | -52 |
Essex County, New York | 36031 | 0 | 6 | -6 |
Kings County, New York | 36047 | 18 | 0 | 18 |
Lewis County, New York | 36049 | 8 | 0 | 8 |
Monroe County, New York | 36055 | 51 | 0 | 51 |
Nassau County, New York | 36059 | 9 | 0 | 9 |
New York County, New York | 36061 | 70 | 68 | 2 |
Oneida County, New York | 36065 | 45 | 55 | -10 |
Ontario County, New York | 36069 | 31 | 0 | 31 |
Queens County, New York | 36081 | 0 | 14 | -14 |
Rensselaer County, New York | 36083 | 0 | 12 | -12 |
Suffolk County, New York | 36103 | 82 | 0 | 82 |
Tompkins County, New York | 36109 | 9 | 0 | 9 |
Ulster County, New York | 36111 | 0 | 12 | -12 |
Warren County, New York | 36113 | 0 | 5 | -5 |
Alamance County, North Carolina | 37001 | 0 | 12 | -12 |
Brunswick County, North Carolina | 37019 | 35 | 0 | 35 |
Buncombe County, North Carolina | 37021 | 34 | 17 | 17 |
Cabarrus County, North Carolina | 37025 | 10 | 0 | 10 |
Cherokee County, North Carolina | 37039 | 34 | 0 | 34 |
Cumberland County, North Carolina | 37051 | 8 | 0 | 8 |
Durham County, North Carolina | 37063 | 20 | 20 | 0 |
Guilford County, North Carolina | 37081 | 0 | 41 | -41 |
Henderson County, North Carolina | 37089 | 0 | 10 | -10 |
Iredell County, North Carolina | 37097 | 10 | 0 | 10 |
Macon County, North Carolina | 37113 | 0 | 23 | -23 |
Martin County, North Carolina | 37117 | 0 | 20 | -20 |
Mecklenburg County, North Carolina | 37119 | 74 | 8 | 66 |
Mitchell County, North Carolina | 37121 | 0 | 3 | -3 |
Orange County, North Carolina | 37135 | 22 | 0 | 22 |
Pitt County, North Carolina | 37147 | 53 | 0 | 53 |
Randolph County, North Carolina | 37151 | 0 | 44 | -44 |
Wake County, North Carolina | 37183 | 68 | 0 | 68 |
Watauga County, North Carolina | 37189 | 16 | 0 | 16 |
Wilkes County, North Carolina | 37193 | 0 | 42 | -42 |
Richland County, North Dakota | 38077 | 0 | 4 | -4 |
Stark County, North Dakota | 38089 | 0 | 3 | -3 |
Clark County, Ohio | 39023 | 0 | 26 | -26 |
Clermont County, Ohio | 39025 | 19 | 0 | 19 |
Cuyahoga County, Ohio | 39035 | 11 | 38 | -27 |
Franklin County, Ohio | 39049 | 28 | 7 | 21 |
Hamilton County, Ohio | 39061 | 0 | 90 | -90 |
Licking County, Ohio | 39089 | 0 | 88 | -88 |
Logan County, Ohio | 39091 | 23 | 0 | 23 |
Mercer County, Ohio | 39107 | 15 | 0 | 15 |
Sandusky County, Ohio | 39143 | 0 | 18 | -18 |
Summit County, Ohio | 39153 | 0 | 5 | -5 |
Wood County, Ohio | 39173 | 0 | 7 | -7 |
Cleveland County, Oklahoma | 40027 | 0 | 44 | -44 |
Comanche County, Oklahoma | 40031 | 0 | 19 | -19 |
Johnston County, Oklahoma | 40069 | 0 | 27 | -27 |
Muskogee County, Oklahoma | 40101 | 0 | 25 | -25 |
Oklahoma County, Oklahoma | 40109 | 22 | 0 | 22 |
Pushmataha County, Oklahoma | 40127 | 0 | 4 | -4 |
Tulsa County, Oklahoma | 40143 | 0 | 35 | -35 |
Deschutes County, Oregon | 41017 | 21 | 0 | 21 |
Marion County, Oregon | 41047 | 7 | 9 | -2 |
Adams County, Pennsylvania | 42001 | 0 | 9 | -9 |
Allegheny County, Pennsylvania | 42003 | 0 | 62 | -62 |
Bucks County, Pennsylvania | 42017 | 0 | 17 | -17 |
Chester County, Pennsylvania | 42029 | 6 | 0 | 6 |
Cumberland County, Pennsylvania | 42041 | 15 | 0 | 15 |
Franklin County, Pennsylvania | 42055 | 0 | 54 | -54 |
Lancaster County, Pennsylvania | 42071 | 0 | 42 | -42 |
Luzerne County, Pennsylvania | 42079 | 22 | 0 | 22 |
Montgomery County, Pennsylvania | 42091 | 6 | 0 | 6 |
Philadelphia County, Pennsylvania | 42101 | 71 | 0 | 71 |
Newport County, Rhode Island | 44005 | 0 | 24 | -24 |
Providence County, Rhode Island | 44007 | 0 | 23 | -23 |
Berkeley County, South Carolina | 45015 | 0 | 16 | -16 |
Charleston County, South Carolina | 45019 | 24 | 85 | -61 |
Greenville County, South Carolina | 45045 | 92 | 0 | 92 |
Greenwood County, South Carolina | 45047 | 0 | 5 | -5 |
Newberry County, South Carolina | 45071 | 0 | 6 | -6 |
Orangeburg County, South Carolina | 45075 | 0 | 29 | -29 |
Pickens County, South Carolina | 45077 | 127 | 84 | 43 |
Richland County, South Carolina | 45079 | 37 | 0 | 37 |
Sumter County, South Carolina | 45085 | 19 | 0 | 19 |
Williamsburg County, South Carolina | 45089 | 40 | 0 | 40 |
Carter County, Tennessee | 47019 | 37 | 0 | 37 |
Cheatham County, Tennessee | 47021 | 13 | 0 | 13 |
Coffee County, Tennessee | 47031 | 28 | 0 | 28 |
Davidson County, Tennessee | 47037 | 8 | 189 | -181 |
Hamilton County, Tennessee | 47065 | 0 | 7 | -7 |
Johnson County, Tennessee | 47091 | 0 | 11 | -11 |
Knox County, Tennessee | 47093 | 53 | 18 | 35 |
Moore County, Tennessee | 47127 | 0 | 9 | -9 |
Rutherford County, Tennessee | 47149 | 13 | 0 | 13 |
Shelby County, Tennessee | 47157 | 27 | 0 | 27 |
Sumner County, Tennessee | 47165 | 0 | 18 | -18 |
Washington County, Tennessee | 47179 | 0 | 13 | -13 |
Williamson County, Tennessee | 47187 | 34 | 0 | 34 |
Andrews County, Texas | 48003 | 0 | 17 | -17 |
Bexar County, Texas | 48029 | 28 | 0 | 28 |
Bowie County, Texas | 48037 | 0 | 6 | -6 |
Brazos County, Texas | 48041 | 0 | 12 | -12 |
Cameron County, Texas | 48061 | 0 | 9 | -9 |
Collin County, Texas | 48085 | 8 | 71 | -63 |
Coryell County, Texas | 48099 | 15 | 0 | 15 |
Dallas County, Texas | 48113 | 0 | 24 | -24 |
Erath County, Texas | 48143 | 4 | 0 | 4 |
Fort Bend County, Texas | 48157 | 0 | 8 | -8 |
Guadalupe County, Texas | 48187 | 0 | 21 | -21 |
Harris County, Texas | 48201 | 15 | 288 | -273 |
Hidalgo County, Texas | 48215 | 19 | 0 | 19 |
Hood County, Texas | 48221 | 0 | 8 | -8 |
Hunt County, Texas | 48231 | 0 | 12 | -12 |
Midland County, Texas | 48329 | 20 | 0 | 20 |
Montgomery County, Texas | 48339 | 6 | 0 | 6 |
Tarrant County, Texas | 48439 | 33 | 20 | 13 |
Travis County, Texas | 48453 | 44 | 64 | -20 |
Webb County, Texas | 48479 | 19 | 0 | 19 |
Carbon County, Utah | 49007 | 0 | 4 | -4 |
Iron County, Utah | 49021 | 3 | 0 | 3 |
Salt Lake County, Utah | 49035 | 26 | 32 | -6 |
Sanpete County, Utah | 49039 | 0 | 1 | -1 |
Utah County, Utah | 49049 | 17 | 14 | 3 |
Weber County, Utah | 49057 | 0 | 6 | -6 |
Franklin County, Vermont | 50011 | 0 | 17 | -17 |
Albemarle County, Virginia | 51003 | 0 | 46 | -46 |
Arlington County, Virginia | 51013 | 0 | 14 | -14 |
Fairfax County, Virginia | 51059 | 66 | 57 | 9 |
Henrico County, Virginia | 51087 | 0 | 44 | -44 |
Loudoun County, Virginia | 51107 | 33 | 37 | -4 |
Montgomery County, Virginia | 51121 | 0 | 56 | -56 |
Prince William County, Virginia | 51153 | 0 | 81 | -81 |
Rockingham County, Virginia | 51165 | 0 | 32 | -32 |
Stafford County, Virginia | 51179 | 0 | 40 | -40 |
Warren County, Virginia | 51187 | 284 | 0 | 284 |
Alexandria city, Virginia | 51510 | 2 | 25 | -23 |
Chesapeake city, Virginia | 51550 | 55 | 22 | 33 |
Newport News city, Virginia | 51700 | 0 | 34 | -34 |
Richmond city, Virginia | 51760 | 0 | 21 | -21 |
Staunton city, Virginia | 51790 | 0 | 60 | -60 |
Suffolk city, Virginia | 51800 | 17 | 0 | 17 |
Virginia Beach city, Virginia | 51810 | 95 | 9 | 86 |
Williamsburg city, Virginia | 51830 | 0 | 7 | -7 |
Clark County, Washington | 53011 | 0 | 70 | -70 |
King County, Washington | 53033 | 20 | 188 | -168 |
Kitsap County, Washington | 53035 | 0 | 16 | -16 |
Marion County, West Virginia | 54049 | 58 | 0 | 58 |
Monongalia County, West Virginia | 54061 | 0 | 11 | -11 |
Preston County, West Virginia | 54077 | 0 | 11 | -11 |
Randolph County, West Virginia | 54083 | 52 | 0 | 52 |
Summers County, West Virginia | 54089 | 0 | 10 | -10 |
Tyler County, West Virginia | 54095 | 0 | 22 | -22 |
Brown County, Wisconsin | 55009 | 0 | 24 | -24 |
Dane County, Wisconsin | 55025 | 37 | 35 | 2 |
Dunn County, Wisconsin | 55033 | 0 | 13 | -13 |
Green Lake County, Wisconsin | 55047 | 0 | 4 | -4 |
St. Croix County, Wisconsin | 55109 | 10 | 0 | 10 |
Laramie County, Wyoming | 56021 | 0 | 13 | -13 |
Yabucoa Municipio, Puerto Rico | 72151 | 28 | 0 | 28 |
Bridgeport town, Fairfield County, Connecticut | 0900108070 | 0 | 15 | -15 |
Brookfield town, Fairfield County, Connecticut | 0900108980 | 36 | 0 | 36 |
Darien town, Fairfield County, Connecticut | 0900118850 | 16 | 0 | 16 |
Ridgefield town, Fairfield County, Connecticut | 0900163970 | 0 | 10 | -10 |
Wilton town, Fairfield County, Connecticut | 0900186370 | 0 | 93 | -93 |
Glastonbury town, Hartford County, Connecticut | 0900331240 | 9 | 0 | 9 |
Manchester town, Hartford County, Connecticut | 0900344700 | 62 | 15 | 47 |
Wethersfield town, Hartford County, Connecticut | 0900384900 | 11 | 0 | 11 |
Woodbury town, Litchfield County, Connecticut | 0900587910 | 9 | 0 | 9 |
New Haven town, New Haven County, Connecticut | 0900952070 | 45 | 0 | 45 |
Vernon town, Tolland County, Connecticut | 0901378250 | 109 | 0 | 109 |
Portland city, Cumberland County, Maine | 2300560545 | 19 | 0 | 19 |
Pittston town, Kennebec County, Maine | 2301159110 | 0 | 9 | -9 |
Chatham town, Barnstable County, Massachusetts | 2500112995 | 21 | 0 | 21 |
Somerset town, Bristol County, Massachusetts | 2500562430 | 10 | 0 | 10 |
Salem city, Essex County, Massachusetts | 2500959105 | 31 | 0 | 31 |
Agawam Town city, Hampden County, Massachusetts | 2501300840 | 23 | 0 | 23 |
Cambridge city, Middlesex County, Massachusetts | 2501711000 | 16 | 0 | 16 |
Waltham city, Middlesex County, Massachusetts | 2501772600 | 20 | 0 | 20 |
Wilmington town, Middlesex County, Massachusetts | 2501780230 | 0 | 10 | -10 |
Boston city, Suffolk County, Massachusetts | 2502507000 | 15 | 94 | -79 |
Dudley town, Worcester County, Massachusetts | 2502717685 | 0 | 9 | -9 |
Paxton town, Worcester County, Massachusetts | 2502752420 | 0 | 18 | -18 |
Southborough town, Worcester County, Massachusetts | 2502763165 | 6 | 0 | 6 |
Worcester city, Worcester County, Massachusetts | 2502782000 | 0 | 6 | -6 |
Essexville city, Bay County, Michigan | 2601726420 | 33 | 0 | 33 |
Calumet charter township, Houghton County, Michigan | 2606112600 | 0 | 6 | -6 |
Torch Lake township, Houghton County, Michigan | 2606180120 | 0 | 12 | -12 |
Lansing city, Ingham County, Michigan | 2606546000 | 0 | 25 | -25 |
Meridian charter township, Ingham County, Michigan | 2606553140 | 0 | 78 | -78 |
Williamstown township, Ingham County, Michigan | 2606587440 | 22 | 0 | 22 |
Norvell township, Jackson County, Michigan | 2607559180 | 20 | 0 | 20 |
Sheridan township, Mecosta County, Michigan | 2610773080 | 9 | 0 | 9 |
Egelston township, Muskegon County, Michigan | 2612125080 | 35 | 0 | 35 |
Rochester Hills city, Oakland County, Michigan | 2612569035 | 0 | 13 | -13 |
West Bloomfield charter township, Oakland County, Michigan | 2612585480 | 0 | 19 | -19 |
Georgetown charter township, Ottawa County, Michigan | 2613931880 | 31 | 0 | 31 |
Sanilac township, Sanilac County, Michigan | 2615171580 | 73 | 0 | 73 |
Webster township, Washtenaw County, Michigan | 2616185100 | 8 | 0 | 8 |
Canton charter township, Wayne County, Michigan | 2616313120 | 36 | 0 | 36 |
Detroit city, Wayne County, Michigan | 2616322000 | 0 | 26 | -26 |
Hastings city, Dakota County, Minnesota | 2703727530 | 0 | 45 | -45 |
Minneapolis city, Hennepin County, Minnesota | 2705343000 | 0 | 17 | -17 |
Princeton city, Mille Lacs County, Minnesota | 2709552522 | 0 | 33 | -33 |
St. Peter city, Nicollet County, Minnesota | 2710358036 | 24 | 0 | 24 |
Duluth city, St. Louis County, Minnesota | 2713717000 | 0 | 9 | -9 |
Ely city, St. Louis County, Minnesota | 2713719142 | 0 | 5 | -5 |
Fayal township, St. Louis County, Minnesota | 2713720762 | 0 | 1 | -1 |
Hermantown city, St. Louis County, Minnesota | 2713728682 | 0 | 30 | -30 |
Belle Plaine city, Scott County, Minnesota | 2713904834 | 0 | 17 | -17 |
Buffalo city, Wright County, Minnesota | 2717108452 | 0 | 15 | -15 |
Portsmouth city, Rockingham County, New Hampshire | 3301562900 | 0 | 16 | -16 |
Moorestown township, Burlington County, New Jersey | 3400547880 | 0 | 12 | -12 |
South Orange Village township, Essex County, New Jersey | 3401369274 | 9 | 0 | 9 |
Woodbury Heights borough, Gloucester County, New Jersey | 3401582180 | 0 | 14 | -14 |
Hamilton township, Mercer County, New Jersey | 3402129310 | 8 | 0 | 8 |
Lawrence township, Mercer County, New Jersey | 3402139510 | 9 | 0 | 9 |
Highland Park borough, Middlesex County, New Jersey | 3402331470 | 0 | 17 | -17 |
New Brunswick city, Middlesex County, New Jersey | 3402351210 | 30 | 0 | 30 |
Old Bridge township, Middlesex County, New Jersey | 3402354705 | 7 | 0 | 7 |
Piscataway township, Middlesex County, New Jersey | 3402359010 | 13 | 0 | 13 |
Ocean township, Monmouth County, New Jersey | 3402554270 | 26 | 0 | 26 |
Roosevelt borough, Monmouth County, New Jersey | 3402564410 | 0 | 5 | -5 |
West Long Branch borough, Monmouth County, New Jersey | 3402579310 | 33 | 0 | 33 |
Parsippany-Troy Hills township, Morris County, New Jersey | 3402756460 | 66 | 0 | 66 |
Pequannock township, Morris County, New Jersey | 3402758110 | 23 | 0 | 23 |
Mansfield township, Warren County, New Jersey | 3404143320 | 11 | 0 | 11 |
Albany city, Albany County, New York | 3600101000 | 0 | 6 | -6 |
Caneadea town, Allegany County, New York | 3600312243 | 20 | 0 | 20 |
Ellicott town, Chautauqua County, New York | 3601323998 | 24 | 0 | 24 |
Buffalo city, Erie County, New York | 3602911000 | 0 | 70 | -70 |
Tonawanda town, Erie County, New York | 3602975000 | 18 | 0 | 18 |
Willsboro town, Essex County, New York | 3603182271 | 0 | 6 | -6 |
Brooklyn borough, Kings County, New York | 3604710022 | 18 | 0 | 18 |
Greig town, Lewis County, New York | 3604930796 | 8 | 0 | 8 |
Rochester city, Monroe County, New York | 3605563000 | 51 | 0 | 51 |
Hempstead town, Nassau County, New York | 3605934000 | 9 | 0 | 9 |
Manhattan borough, New York County, New York | 3606144919 | 70 | 68 | 2 |
Bridgewater town, Oneida County, New York | 3606508180 | 36 | 0 | 36 |
Utica city, Oneida County, New York | 3606576540 | 0 | 55 | -55 |
Whitestown town, Oneida County, New York | 3606581754 | 9 | 0 | 9 |
Geneva city, Ontario County, New York | 3606928640 | 31 | 0 | 31 |
Queens borough, Queens County, New York | 3608160323 | 0 | 14 | -14 |
Troy city, Rensselaer County, New York | 3608375484 | 0 | 12 | -12 |
Brookhaven town, Suffolk County, New York | 3610310000 | 82 | 0 | 82 |
Ithaca city, Tompkins County, New York | 3610938077 | 9 | 0 | 9 |
Shawangunk town, Ulster County, New York | 3611166674 | 0 | 12 | -12 |
Glens Falls city, Warren County, New York | 3611329333 | 0 | 5 | -5 |
Gettysburg borough, Adams County, Pennsylvania | 4200128960 | 0 | 9 | -9 |
Collier township, Allegheny County, Pennsylvania | 4200315216 | 0 | 21 | -21 |
Penn Hills township, Allegheny County, Pennsylvania | 4200359032 | 0 | 41 | -41 |
Doylestown township, Bucks County, Pennsylvania | 4201719792 | 0 | 12 | -12 |
Langhorne Manor borough, Bucks County, Pennsylvania | 4201741416 | 0 | 4 | -4 |
Penndel borough, Bucks County, Pennsylvania | 4201758936 | 0 | 1 | -1 |
West Caln township, Chester County, Pennsylvania | 4202982664 | 6 | 0 | 6 |
Carlisle borough, Cumberland County, Pennsylvania | 4204111272 | 15 | 0 | 15 |
Hamilton township, Franklin County, Pennsylvania | 4205532152 | 0 | 54 | -54 |
Columbia borough, Lancaster County, Pennsylvania | 4207115384 | 0 | 12 | -12 |
Lancaster township, Lancaster County, Pennsylvania | 4207141224 | 0 | 30 | -30 |
Butler township, Luzerne County, Pennsylvania | 4207910480 | 22 | 0 | 22 |
Cheltenham township, Montgomery County, Pennsylvania | 4209112968 | 6 | 0 | 6 |
Philadelphia city, Philadelphia County, Pennsylvania | 4210160000 | 71 | 0 | 71 |
Newport city, Newport County, Rhode Island | 4400549960 | 0 | 24 | -24 |
Providence city, Providence County, Rhode Island | 4400759000 | 0 | 23 | -23 |
Richford town, Franklin County, Vermont | 5001159125 | 0 | 17 | -17 |
Allouez village, Brown County, Wisconsin | 5500901150 | 0 | 24 | -24 |
Madison city, Dane County, Wisconsin | 5502548000 | 37 | 35 | 2 |
Menomonie city, Dunn County, Wisconsin | 5503351025 | 0 | 13 | -13 |
Green Lake town, Green Lake County, Wisconsin | 5504731350 | 0 | 4 | -4 |
Hudson town, St. Croix County, Wisconsin | 5510936275 | 10 | 0 | 10 |
GENERAL DEMOGRAPHIC CHARACTERISTICS (DP1) | ItemCode | County Estimate | County Percent | U.S. Estimate | U.S. Percent |
SEX AND AGE | |||||
.Total population | D001 | 292,817 | 100.0 | 331,893,745 | 100.0 |
..Male | D002 | 138,851 | 47.4 | 164,350,703 | 49.5 |
..Female | D003 | 153,966 | 52.6 | 167,543,042 | 50.5 |
..Sex ratio (males per 100 females) | D004 | 90.2 | 98.1 | ||
..Under 5 years | D005 | 14,004 | 4.8 | 18,661,245 | 5.6 |
..5 to 9 years | D006 | 12,852 | 4.4 | 20,010,813 | 6.0 |
..10 to 14 years | D007 | 18,330 | 6.3 | 21,821,492 | 6.6 |
..15 to 19 years | D008 | 26,864 | 9.2 | 21,824,088 | 6.6 |
..20 to 24 years | D009 | 44,160 | 15.1 | 21,382,643 | 6.4 |
..25 to 34 years | D010 | 40,541 | 13.8 | 45,079,138 | 13.6 |
..35 to 44 years | D011 | 33,275 | 11.4 | 43,733,561 | 13.2 |
..45 to 54 years | D012 | 30,033 | 10.3 | 40,673,717 | 12.3 |
..55 to 59 years | D013 | 13,294 | 4.5 | 21,141,152 | 6.4 |
..60 to 64 years | D014 | 16,672 | 5.7 | 21,673,882 | 6.5 |
..65 to 74 years | D015 | 26,982 | 9.2 | 33,778,204 | 10.2 |
..75 to 84 years | D016 | 12,048 | 4.1 | 16,151,137 | 4.9 |
..85 years and over | D017 | 3,762 | 1.3 | 5,962,673 | 1.8 |
..Median age (years) | D018 | 32.0 | 38.8 | ||
..Under 18 years | D019 | 54,912 | 18.8 | 73,475,278 | 22.1 |
..16 years and over | D020 | 244,469 | 83.5 | 267,057,693 | 80.5 |
..18 years and over | D021 | 237,905 | 81.2 | 258,418,467 | 77.9 |
..21 years and over | D022 | 211,962 | 72.4 | 245,143,605 | 73.9 |
..62 years and over | D023 | 53,047 | 18.1 | 68,689,093 | 20.7 |
..65 years and over | D024 | 42,792 | 14.6 | 55,892,014 | 16.8 |
..18 years and over | D025 | 237,905 | 100.0 | 258,418,467 | 100.0 |
...Male | D026 | 110,259 | 46.3 | 126,690,177 | 49.0 |
...Female | D027 | 127,646 | 53.7 | 131,728,290 | 51.0 |
...Sex ratio (males per 100 females) | D028 | 86.4 | 96.2 | ||
..65 years and over | D029 | 42,792 | 100.0 | 55,892,014 | 100.0 |
...Male | D030 | 18,696 | 43.7 | 25,191,742 | 45.1 |
...Female | D031 | 24,096 | 56.3 | 30,700,272 | 54.9 |
...Sex ratio (males per 100 females) | D032 | 77.6 | 82.1 | ||
RACE | |||||
.Total population | D033 | 292,817 | 100.0 | 331,893,745 | 100.0 |
..One race | D034 | 267,226 | 91.3 | 290,007,306 | 87.4 |
..Two or more races | D035 | 25,591 | 8.7 | 41,886,439 | 12.6 |
..One race | D036 | 267,226 | 91.3 | 290,007,306 | 87.4 |
...White | D037 | 163,080 | 55.7 | 202,981,791 | 61.2 |
...Black or African American | D038 | 87,541 | 29.9 | 40,194,304 | 12.1 |
...American Indian and Alaska Native | D039 | 1,104 | 0.4 | 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 | 9,508 | 3.2 | 19,157,288 | 5.8 |
....Asian Indian | D045 | 2,701 | 0.9 | 4,402,223 | 1.3 |
....Chinese | D046 | 2,536 | 0.9 | 4,360,466 | 1.3 |
....Filipino | D047 | 1,281 | 0.4 | 2,960,811 | 0.9 |
....Japanese | D048 | 255 | 0.1 | 742,549 | 0.2 |
....Korean | D049 | 371 | 0.1 | 1,445,315 | 0.4 |
....Vietnamese | D050 | 1,415 | 0.5 | 1,896,690 | 0.6 |
....Other Asian | D051 | 949 | 0.3 | 3,349,234 | 1.0 |
...Native Hawaiian and Other Pacific Islander | D052 | 218 | 0.1 | 612,448 | 0.2 |
....Native Hawaiian | D053 | -1 | 100.0 | 185,391 | 100.0 |
....Guamanian or Chamorro | D054 | -1 | 100.0 | 68,757 | 100.0 |
....Samoan | D055 | -1 | 100.0 | 121,585 | 100.0 |
....Other Pacific Islander | D056 | -1 | 100.0 | 236,715 | 100.0 |
...Some other race | D057 | 5,775 | 2.0 | 23,902,781 | 7.2 |
..Two or more races | D058 | 25,591 | 8.7 | 41,886,439 | 12.6 |
...White and Black or African American | D059 | 5,198 | 1.8 | 3,569,990 | 1.1 |
...White and American Indian and Alaska Native | D060 | 1,646 | 0.6 | 3,212,437 | 1.0 |
...White and Asian | D061 | 2,370 | 0.8 | 2,773,539 | 0.8 |
...Black or African American and American Indian and Alaska Native | D062 | 368 | 0.1 | 462,571 | 0.1 |
Race alone or in combination with one or more other races | |||||
.Total population | D063 | 292,817 | 100.0 | 331,893,745 | 100.0 |
..White | D064 | 186,624 | 63.7 | 241,836,150 | 72.9 |
..Black or African American | D065 | 95,887 | 32.7 | 47,234,227 | 14.2 |
..American Indian and Alaska Native | D066 | 4,953 | 1.7 | 8,750,904 | 2.6 |
..Asian | D067 | 13,611 | 4.6 | 23,545,238 | 7.1 |
..Native Hawaiian and Other Pacific Islander | D068 | 587 | 0.2 | 1,541,118 | 0.5 |
..Some other race | D069 | 19,291 | 6.6 | 53,868,002 | 16.2 |
HISPANIC OR LATINO AND RACE | |||||
.Total population | D070 | 292,817 | 100.0 | 331,893,745 | 100.0 |
..Hispanic or Latino (of any race) | D071 | 20,561 | 7.0 | 62,529,064 | 18.8 |
...Mexican | D072 | 4,132 | 1.4 | 37,235,886 | 11.2 |
...Puerto Rican | D073 | 3,629 | 1.2 | 5,798,287 | 1.7 |
...Cuban | D074 | 3,208 | 1.1 | 2,400,152 | 0.7 |
...Other Hispanic or Latino | D075 | 9,592 | 3.3 | 17,094,739 | 5.2 |
..Not Hispanic or Latino | D076 | 272,256 | 93.0 | 269,364,681 | 81.2 |
...White alone | D077 | 159,041 | 54.3 | 192,753,887 | 58.1 |
...Black or African American alone | D078 | 87,174 | 29.8 | 39,269,297 | 11.8 |
...American Indian and Alaska Native alone | D079 | 44 | 0.0 | 1,749,871 | 0.5 |
...Asian alone | D080 | 9,417 | 3.2 | 18,889,050 | 5.7 |
...Native Hawaiian and Other Pacific Islander alone | D081 | 218 | 0.1 | 558,717 | 0.2 |
...Some other race alone | D082 | 2,246 | 0.8 | 1,845,426 | 0.6 |
...Two or more races | D083 | 14,116 | 4.8 | 14,298,433 | 4.3 |
....Two races including Some other race | D084 | 2,278 | 0.8 | 3,342,216 | 1.0 |
....Two races excluding Some other race, and Three or more races | D085 | 11,838 | 4.0 | 10,956,217 | 3.3 |
.Total housing units | D086 | 135,684 | 100.0 | 142,148,050 | 100.0 |
CITIZEN, VOTING AGE POPULATION | |||||
.Citizen, 18 and over population | D087 | 230,328 | 100.0 | 239,035,960 | 100.0 |
..Male | D088 | 106,045 | 46.0 | 116,766,700 | 48.8 |
..Female | D089 | 124,283 | 54.0 | 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 | 121,423 | 100.0 | 127,544,730 | 100.0 |
..Married-couple family | S002 | 42,450 | 35.0 | 60,360,084 | 47.3 |
...With own children of the householder under 18 years | S003 | 14,386 | 11.8 | 22,870,106 | 17.9 |
..Cohabiting couple household | S004 | 10,376 | 8.5 | 9,195,007 | 7.2 |
...With own children of the householder under 18 years | S005 | 1,626 | 1.3 | 2,933,896 | 2.3 |
..Male householder, no spouse/partner present | S006 | 26,151 | 21.5 | 23,109,048 | 18.1 |
...With own children of the householder under 18 years | S007 | 1,596 | 1.3 | 1,572,727 | 1.2 |
...Householder living alone | S008 | 14,375 | 11.8 | 16,359,032 | 12.8 |
....65 years and over | S009 | 3,385 | 2.8 | 4,814,086 | 3.8 |
..Female householder, no spouse/partner present | S010 | 42,446 | 35.0 | 34,880,591 | 27.3 |
...With own children of the householder under 18 years | S011 | 7,400 | 6.1 | 6,253,443 | 4.9 |
...Householder living alone | S012 | 23,499 | 19.4 | 19,691,382 | 15.4 |
....65 years and over | S013 | 8,085 | 6.7 | 9,539,491 | 7.5 |
..Households with one or more people under 18 years | S014 | 27,527 | 22.7 | 37,661,807 | 29.5 |
..Households with one or more people 65 years and over | S015 | 30,545 | 25.2 | 39,884,869 | 31.3 |
..Average household size | S016 | 2.30 | 2.54 | ||
..Average family size | S017 | 3.00 | 3.15 | ||
RELATIONSHIP | |||||
.Population in households | S018 | 279,435 | 100.0 | 324,132,886 | 100.0 |
..Householder | S019 | 121,423 | 43.5 | 127,544,730 | 39.3 |
..Spouse | S020 | 42,903 | 15.4 | 60,303,729 | 18.6 |
..Unmarried partner | S021 | 9,915 | 3.5 | 9,251,322 | 2.9 |
..Child | S022 | 70,733 | 25.3 | 94,303,591 | 29.1 |
..Other relatives | S023 | 13,810 | 4.9 | 22,586,523 | 7.0 |
..Other nonrelatives | S024 | 20,651 | 7.4 | 10,142,991 | 3.1 |
MARITAL STATUS | |||||
.Males 15 years and over | S025 | 115,239 | 100.0 | 133,358,219 | 100.0 |
..Never married | S026 | 57,925 | 50.3 | 49,530,132 | 37.1 |
..Now married, except separated | S027 | 45,766 | 39.7 | 66,215,121 | 49.7 |
..Separated | S028 | 1,487 | 1.3 | 1,981,789 | 1.5 |
..Widowed | S029 | 1,476 | 1.3 | 3,411,896 | 2.6 |
..Divorced | S030 | 8,585 | 7.4 | 12,219,281 | 9.2 |
.Females 15 years and over | S031 | 132,392 | 100.0 | 138,041,976 | 100.0 |
..Never married | S032 | 62,028 | 46.9 | 43,214,903 | 31.3 |
..Now married, except separated | S033 | 44,677 | 33.7 | 64,153,674 | 46.5 |
..Separated | S034 | 2,432 | 1.8 | 2,657,369 | 1.9 |
..Widowed | S035 | 7,227 | 5.5 | 11,416,414 | 8.3 |
..Divorced | S036 | 16,028 | 12.1 | 16,599,616 | 12.0 |
FERTILITY | |||||
.Number of women 15 to 50 years old who had a birth in the past 12 months | S037 | 3,416 | 100.0 | 3,922,188 | 100.0 |
..Unmarried women (widowed, divorced, and never married) | S038 | 1,206 | 35.3 | 1,242,288 | 31.7 |
...Per 1,000 unmarried women | S039 | 19 | -1.0 | 28 | -1.0 |
..Per 1,000 women 15 to 50 years old | S040 | 39 | -1.0 | 51 | -1.0 |
..Per 1,000 women 15 to 19 years old | S041 | 22 | -1.0 | 8 | -1.0 |
..Per 1,000 women 20 to 34 years old | S042 | 48 | -1.0 | 84 | -1.0 |
..Per 1,000 women 35 to 50 years old | S043 | 35 | -1.0 | 32 | -1.0 |
GRANDPARENTS | |||||
.Number of grandparents living with own grandchildren under 18 years | S044 | -1 | 6,658,830 | ||
..Grandparents responsible for grandchildren | S045 | -1 | 2,085,527 | ||
..Years responsible for grandchildren | |||||
...Less than 1 year | S046 | -1 | 315,750 | ||
...1 or 2 years | S047 | -1 | 402,768 | ||
...3 or 4 years | S048 | -1 | 338,613 | ||
...5 or more years | S049 | -1 | 1,028,396 | ||
.Number of grandparents responsible for own grandchildren under 18 years | S050 | -1 | 2,085,527 | ||
..Who are female | S051 | 496 | -1.0 | 1,322,096 | 63.4 |
..Who are married | S052 | -1 | 1,396,788 | ||
SCHOOL ENROLLMENT | |||||
.Population 3 years and over enrolled in school | S053 | 94,014 | 100.0 | 79,453,524 | 100.0 |
..Nursery school, preschool | S054 | 2,531 | 2.7 | 4,095,935 | 5.2 |
..Kindergarten | S055 | 2,858 | 3.0 | 4,011,805 | 5.0 |
..Elementary school (grades 1-8) | S056 | 25,692 | 27.3 | 32,855,519 | 41.4 |
..High school (grades 9-12) | S057 | 13,798 | 14.7 | 17,293,504 | 21.8 |
..College or graduate school | S058 | 49,135 | 52.3 | 21,196,761 | 26.7 |
EDUCATIONAL ATTAINMENT | |||||
.Population 25 years and over | S059 | 176,607 | 100.0 | 228,193,464 | 100.0 |
..Less than 9th grade | S060 | 3,109 | 1.8 | 10,860,370 | 4.8 |
..9th to 12th grade, no diploma | S061 | 8,038 | 4.6 | 13,412,111 | 5.9 |
..High school graduate (includes equivalency) | S062 | 32,626 | 18.5 | 59,996,344 | 26.3 |
..Some college, no degree | S063 | 31,142 | 17.6 | 44,048,941 | 19.3 |
..Associate's degree | S064 | 16,579 | 9.4 | 19,972,235 | 8.8 |
..Bachelor's degree | S065 | 48,729 | 27.6 | 48,482,060 | 21.2 |
..Graduate or professional degree | S066 | 36,384 | 20.6 | 31,421,403 | 13.8 |
..High school graduate or higher | S067 | 165,460 | 93.7 | 203,920,983 | 89.4 |
..Bachelor's degree or higher | S068 | 85,113 | 48.2 | 79,903,463 | 35.0 |
VETERAN STATUS | |||||
.Civilian population 18 years and over | S069 | 237,603 | 100.0 | 257,083,784 | 100.0 |
..Civilian veterans | S070 | 12,546 | 5.3 | 16,501,502 | 6.4 |
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION | |||||
.Total Civilian Noninstitutionalized Population | S071 | 289,536 | 100.0 | 326,912,547 | 100.0 |
..With a disability | S072 | 36,685 | 12.7 | 42,485,034 | 13.0 |
.Under 18 years | S073 | 54,832 | 100.0 | 73,357,731 | 100.0 |
..With a disability | S074 | 3,183 | 5.8 | 3,399,376 | 4.6 |
.18 to 64 years | S075 | 192,542 | 100.0 | 198,812,874 | 100.0 |
..With a disability | S076 | 19,106 | 9.9 | 21,246,505 | 10.7 |
.65 years and over | S077 | 42,162 | 100.0 | 54,741,942 | 100.0 |
..With a disability | S078 | 14,396 | 34.1 | 17,839,153 | 32.6 |
RESIDENCE 1 YEAR AGO | |||||
.Population 1 year and over | S079 | 289,869 | 100.0 | 328,464,538 | 100.0 |
..Same house | S080 | 233,690 | 80.6 | 286,552,923 | 87.2 |
..Different house in the U.S. or abroad | S081 | 56,179 | 19.4 | 41,911,615 | 12.8 |
..Different house in the U.S. | S082 | 55,369 | 19.1 | 40,436,958 | 12.3 |
...Same county | S083 | 31,165 | 10.8 | 21,878,668 | 6.7 |
...Different county | S084 | 24,204 | 8.3 | 18,558,290 | 5.7 |
....Same state | S085 | 17,067 | 5.9 | 10,698,453 | 3.3 |
....Different state | S086 | 7,137 | 2.5 | 7,859,837 | 2.4 |
..Abroad | S087 | 810 | 0.3 | 1,474,657 | 0.4 |
PLACE OF BIRTH | |||||
.Total population | S088 | 292,817 | 100.0 | 331,893,745 | 100.0 |
..Native | S089 | 271,175 | 92.6 | 286,623,642 | 86.4 |
...Born in United States | S090 | 264,962 | 90.5 | 281,070,671 | 84.7 |
....State of residence | S091 | 174,349 | 59.5 | 191,929,224 | 57.8 |
....Different state | S092 | 90,613 | 30.9 | 89,141,447 | 26.9 |
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s) | S093 | 6,213 | 2.1 | 5,552,971 | 1.7 |
..Foreign born | S094 | 21,642 | 7.4 | 45,270,103 | 13.6 |
U.S. CITIZENSHIP STATUS | |||||
.Foreign-born population | S095 | 21,642 | 100.0 | 45,270,103 | 100.0 |
..Naturalized U.S. citizen | S096 | 13,792 | 63.7 | 24,044,083 | 53.1 |
..Not a U.S. citizen | S097 | 7,850 | 36.3 | 21,226,020 | 46.9 |
YEAR OF ENTRY | |||||
.Population born outside the United States | S098 | 27,855 | 100.0 | 50,823,074 | 100.0 |
..Native | S099 | 6,213 | 100.0 | 5,552,971 | 100.0 |
...Entered 2010 or later | S100 | 2,322 | 37.4 | 1,697,342 | 30.6 |
...Entered before 2010 | S101 | 3,891 | 62.6 | 3,855,629 | 69.4 |
..Foreign born | S102 | 21,642 | 100.0 | 45,270,103 | 100.0 |
...Entered 2010 or later | S103 | 7,632 | 35.3 | 12,717,163 | 28.1 |
...Entered before 2010 | S104 | 14,010 | 64.7 | 32,552,940 | 71.9 |
WORLD REGION OF BIRTH OF FOREIGN BORN | |||||
.Foreign-born population, excluding population born at sea | S105 | -1 | 45,269,644 | ||
..Europe | S106 | -1 | 4,865,317 | ||
..Asia | S107 | -1 | 14,034,338 | ||
..Africa | S108 | -1 | 2,597,894 | ||
..Oceania | S109 | -1 | 292,766 | ||
..Latin America | S110 | -1 | 22,691,727 | ||
..Northern America | S111 | -1 | 787,602 | ||
LANGUAGE SPOKEN AT HOME | |||||
.Population 5 years and over | S112 | 278,813 | 100.0 | 313,232,500 | 100.0 |
..English only | S113 | 249,472 | 89.5 | 245,478,064 | 78.4 |
..Language other than English | S114 | 29,341 | 10.5 | 67,754,436 | 21.6 |
...Speak English less than very well | S115 | 6,933 | 2.5 | 25,921,267 | 8.3 |
..Spanish | S116 | 13,034 | 4.7 | 41,254,941 | 13.2 |
...Speak English less than very well | S117 | 2,921 | 1.0 | 16,299,869 | 5.2 |
..Other Indo-European languages | S118 | 8,110 | 2.9 | 11,802,904 | 3.8 |
...Speak English less than very well | S119 | 1,627 | 0.6 | 3,639,669 | 1.2 |
..Asian and Pacific Islander languages | S120 | 7,319 | 2.6 | 10,915,574 | 3.5 |
...Speak English less than very well | S121 | 2,162 | 0.8 | 4,884,562 | 1.6 |
..Other languages | S122 | 878 | 0.3 | 3,781,017 | 1.2 |
...Speak English less than very well | S123 | 223 | 0.1 | 1,097,167 | 0.4 |
ANCESTRY | |||||
.Total population | S124 | 292,817 | 100.0 | 331,893,745 | 100.0 |
..American | S125 | 14,627 | 5.0 | 17,625,957 | 5.3 |
..Arab | S126 | 972 | 0.3 | 2,222,769 | 0.7 |
..Czech | S127 | 807 | 0.3 | 1,252,833 | 0.4 |
..Danish | S128 | 793 | 0.3 | 1,122,719 | 0.3 |
..Dutch | S129 | 1,946 | 0.7 | 3,083,041 | 0.9 |
..English | S130 | 35,215 | 12.0 | 31,825,171 | 9.6 |
..French (except Basque) | S131 | 7,155 | 2.4 | 6,448,506 | 1.9 |
..French Canadian | S132 | 916 | 0.3 | 1,602,027 | 0.5 |
..German | S133 | 28,574 | 9.8 | 42,220,180 | 12.7 |
..Greek | S134 | 2,195 | 0.7 | 1,184,289 | 0.4 |
..Hungarian | S135 | 933 | 0.3 | 1,221,273 | 0.4 |
..Irish | S136 | 24,988 | 8.5 | 31,495,897 | 9.5 |
..Italian | S137 | 9,979 | 3.4 | 15,947,138 | 4.8 |
..Lithuanian | S138 | 143 | 0.0 | 573,618 | 0.2 |
..Norwegian | S139 | 2,168 | 0.7 | 3,885,380 | 1.2 |
..Polish | S140 | 3,618 | 1.2 | 8,237,026 | 2.5 |
..Portuguese | S141 | 355 | 0.1 | 1,306,039 | 0.4 |
..Russian | S142 | 3,372 | 1.2 | 2,407,434 | 0.7 |
..Scotch-Irish | S143 | 3,674 | 1.3 | 2,495,113 | 0.8 |
..Scottish | S144 | 5,573 | 1.9 | 5,244,788 | 1.6 |
..Slovak | S145 | 42 | 0.0 | 594,844 | 0.2 |
..Subsaharan African | S146 | 2,336 | 0.8 | 3,967,734 | 1.2 |
..Swedish | S147 | 1,771 | 0.6 | 3,318,578 | 1.0 |
..Swiss | S148 | 650 | 0.2 | 839,159 | 0.3 |
..Ukrainian | S149 | 505 | 0.2 | 980,819 | 0.3 |
..Welsh | S150 | 1,714 | 0.6 | 1,553,417 | 0.5 |
..West Indian (excluding Hispanic origin groups) | S151 | 3,971 | 1.4 | 3,064,655 | 0.9 |
COMPUTERS AND INTERNET USE | |||||
.Total households | S152 | 121,423 | 100.0 | 127,544,730 | 100.0 |
..With a computer | S153 | 118,425 | 97.5 | 121,224,032 | 95.0 |
..With a broadband Internet subscription | S154 | 112,962 | 93.0 | 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 | 244,469 | 100.0 | 267,057,693 | 100.0 |
..In labor force | E002 | 163,423 | 66.8 | 168,236,937 | 63.0 |
...Civilian labor force | E003 | 163,121 | 66.7 | 166,900,336 | 62.5 |
....Employed | E004 | 154,684 | 63.3 | 156,380,433 | 58.6 |
....Unemployed | E005 | 8,437 | 3.5 | 10,519,903 | 3.9 |
...Armed Forces | E006 | 302 | 0.1 | 1,336,601 | 0.5 |
..Not in labor force | E007 | 81,046 | 33.2 | 98,820,756 | 37.0 |
.Civilian labor force | E008 | 163,121 | 100.0 | 166,900,336 | 100.0 |
..Unemployment Rate | E009 | 5.20 | 6.30 | ||
.Females 16 years and over | E010 | 131,034 | 100.0 | 135,931,305 | 100.0 |
..In labor force | E011 | 84,758 | 64.7 | 79,347,771 | 58.4 |
...Civilian labor force | E012 | 84,758 | 64.7 | 79,128,144 | 58.2 |
....Employed | E013 | 80,639 | 61.5 | 74,173,887 | 54.6 |
.Own children of the householder under 6 years | E014 | 14,728 | 100.0 | 21,632,850 | 100.0 |
..All parents in family in labor force | E015 | 11,209 | 76.1 | 14,432,156 | 66.7 |
.Own children of the householder 6 to 17 years | E016 | 36,413 | 100.0 | 48,027,938 | 100.0 |
..All parents in family in labor force | E017 | 29,321 | 80.5 | 34,209,802 | 71.2 |
COMMUTING TO WORK | |||||
.Workers 16 years and over | E018 | 151,750 | 100.0 | 154,314,179 | 100.0 |
..Car, truck, or van -- drove alone | E019 | 107,963 | 71.1 | 104,650,121 | 67.8 |
..Car, truck, or van -- carpooled | E020 | 9,233 | 6.1 | 12,018,354 | 7.8 |
..Public transportation (excluding taxicab) | E021 | 1,066 | 0.7 | 3,793,329 | 2.5 |
..Walked | E022 | 1,221 | 0.8 | 3,399,405 | 2.2 |
..Other means | E023 | 2,976 | 2.0 | 2,884,872 | 1.9 |
..Worked from home | E024 | 29,291 | 19.3 | 27,568,098 | 17.9 |
..Mean travel time to work (minutes) | E025 | 20.20 | 25.60 | ||
OCCUPATION | |||||
.Civilian employed population 16 years and over | E026 | 154,684 | 100.0 | 156,380,433 | 100.0 |
..Management, business, science, and arts occupations | E027 | 76,904 | 49.7 | 66,001,412 | 42.2 |
..Service occupations | E028 | 23,782 | 15.4 | 25,151,071 | 16.1 |
..Sales and office occupations | E029 | 36,895 | 23.9 | 31,329,510 | 20.0 |
..Natural resources, construction, and maintenance occupations | E030 | 7,103 | 4.6 | 13,368,928 | 8.5 |
..Production, transportation, and material moving occupations | E031 | 10,000 | 6.5 | 20,529,512 | 13.1 |
INDUSTRY | |||||
.Civilian employed population 16 years and over | E032 | 154,684 | 100.0 | 156,380,433 | 100.0 |
..Agriculture, forestry, fishing and hunting, and mining | E033 | 809 | 0.5 | 2,445,458 | 1.6 |
..Construction | E034 | 7,005 | 4.5 | 10,773,757 | 6.9 |
..Manufacturing | E035 | 4,007 | 2.6 | 15,738,828 | 10.1 |
..Wholesale trade | E036 | 1,377 | 0.9 | 3,616,410 | 2.3 |
..Retail trade | E037 | 17,787 | 11.5 | 17,307,114 | 11.1 |
..Transportation and warehousing, and utilities | E038 | 4,957 | 3.2 | 9,237,812 | 5.9 |
..Information | E039 | 2,537 | 1.6 | 2,908,107 | 1.9 |
..Finance and insurance, and real estate and rental and leasing | E040 | 9,270 | 6.0 | 10,659,331 | 6.8 |
..Professional, scientific, and management, and administrative and waste management services | E041 | 20,507 | 13.3 | 19,360,141 | 12.4 |
..Educational services, and health care and social assistance | E042 | 41,387 | 26.8 | 36,749,102 | 23.5 |
..Arts, entertainment, and recreation, and accommodation and food services | E043 | 16,851 | 10.9 | 12,892,907 | 8.2 |
..Other services, except public administration | E044 | 7,320 | 4.7 | 7,170,404 | 4.6 |
..Public administration | E045 | 20,870 | 13.5 | 7,521,062 | 4.8 |
CLASS OF WORKER | |||||
.Civilian employed population 16 years and over | E046 | 154,684 | 100.0 | 156,380,433 | 100.0 |
..Private wage and salary workers | E047 | 100,350 | 64.9 | 123,744,069 | 79.1 |
..Government workers | E048 | 44,362 | 28.7 | 22,860,100 | 14.6 |
..Self-employed in own not incorporated business workers | E049 | 9,375 | 6.1 | 9,481,077 | 6.1 |
..Unpaid family workers | E050 | 597 | 0.4 | 295,187 | 0.2 |
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS) | |||||
.Total households | E051 | 121,423 | 100.0 | 127,544,730 | 100.0 |
..Less than $10,000 | E052 | 9,206 | 7.6 | 7,689,277 | 6.0 |
..$10,000 to $14,999 | E053 | 4,502 | 3.7 | 4,919,505 | 3.9 |
..$15,000 to $24,999 | E054 | 10,520 | 8.7 | 9,567,549 | 7.5 |
..$25,000 to $34,999 | E055 | 12,722 | 10.5 | 9,969,826 | 7.8 |
..$35,000 to $49,999 | E056 | 15,306 | 12.6 | 14,364,338 | 11.3 |
..$50,000 to $74,999 | E057 | 22,153 | 18.2 | 21,443,341 | 16.8 |
..$75,000 to $99,999 | E058 | 14,553 | 12.0 | 16,276,811 | 12.8 |
..$100,000 to $149,999 | E059 | 16,830 | 13.9 | 20,741,047 | 16.3 |
..$150,000 to $199,999 | E060 | 7,113 | 5.9 | 10,096,604 | 7.9 |
..$200,000 or more | E061 | 8,518 | 7.0 | 12,476,432 | 9.8 |
..Median household income (dollars) | E062 | 58,118 | 69,717 | ||
..Mean household income (dollars) | E063 | 81,274 | 97,962 | ||
..With earnings | E064 | 99,945 | 82.3 | 98,177,629 | 77.0 |
...Mean earnings (dollars) | E065 | 77,795 | 99,688 | ||
..With Social Security | E066 | 31,206 | 25.7 | 39,741,545 | 31.2 |
...Mean Social Security income (dollars) | E067 | 21,220 | 21,152 | ||
..With retirement income | E068 | 24,635 | 20.3 | 30,669,175 | 24.0 |
...Mean retirement income (dollars) | E069 | 29,312 | 29,628 | ||
..With Supplemental Security Income | E070 | 5,477 | 4.5 | 6,588,644 | 5.2 |
...Mean Supplemental Security Income (dollars) | E071 | 9,447 | 10,230 | ||
..With cash public assistance income | E072 | 3,264 | 2.7 | 4,282,321 | 3.4 |
...Mean cash public assistance income (dollars) | E073 | 4,171 | 5,240 | ||
..With Food Stamp/SNAP benefits in the past 12 months | E074 | 14,434 | 11.9 | 15,838,862 | 12.4 |
.Families | E075 | 63,879 | 100.0 | 82,464,986 | 100.0 |
..Less than $10,000 | E076 | 3,414 | 5.3 | 3,056,415 | 3.7 |
..$10,000 to $14,999 | E077 | 1,027 | 1.6 | 1,667,928 | 2.0 |
..$15,000 to $24,999 | E078 | 3,004 | 4.7 | 4,086,661 | 5.0 |
..$25,000 to $34,999 | E079 | 3,162 | 4.9 | 5,117,957 | 6.2 |
..$35,000 to $49,999 | E080 | 6,069 | 9.5 | 8,245,080 | 10.0 |
..$50,000 to $74,999 | E081 | 11,190 | 17.5 | 13,648,681 | 16.6 |
..$75,000 to $99,999 | E082 | 9,849 | 15.4 | 11,644,350 | 14.1 |
..$100,000 to $149,999 | E083 | 12,232 | 19.1 | 16,152,982 | 19.6 |
..$150,000 to $199,999 | E084 | 6,076 | 9.5 | 8,285,960 | 10.0 |
..$200,000 or more | E085 | 7,856 | 12.3 | 10,558,972 | 12.8 |
..Median family income (dollars) | E086 | 85,256 | 85,806 | ||
..Mean family income (dollars) | E087 | 107,739 | 115,522 | ||
.Per capita income (dollars) | E088 | 34,309 | 38,332 | ||
.Nonfamily households | E089 | 57,544 | 100.0 | 45,079,744 | 100.0 |
..Median nonfamily income (dollars) | E090 | 37,637 | 41,549 | ||
..Mean nonfamily income (dollars) | E091 | 49,572 | 61,091 | ||
.Median earnings for workers (dollars) | E092 | 31,641 | 40,260 | ||
.Median earnings for male full-time, year-round workers (dollars) | E093 | 51,077 | 60,428 | ||
.Median earnings for female full-time, year-round workers (dollars) | E094 | 41,997 | 49,263 | ||
HEALTH INSURANCE COVERAGE | |||||
.Civilian noninstitutionalized population | E095 | 289,536 | 100.0 | 326,912,547 | 100.0 |
..With health insurance coverage | E096 | 265,709 | 91.8 | 298,685,665 | 91.4 |
...With private health insurance | E097 | 224,254 | 77.5 | 219,074,507 | 67.0 |
...With public coverage | E098 | 75,117 | 25.9 | 120,198,470 | 36.8 |
..No health insurance coverage | E099 | 23,827 | 8.2 | 28,226,882 | 8.6 |
.Civilian noninstitutionalized population under 19 years | E100 | 64,391 | 100.0 | 77,830,503 | 100.0 |
..No health insurance coverage | E101 | 3,402 | 5.3 | 4,164,688 | 5.4 |
.Civilian noninstitutionalized population 19 to 64 years | E102 | 182,983 | 100.0 | 194,340,102 | 100.0 |
..In labor force: | E103 | 146,845 | 100.0 | 152,120,273 | 100.0 |
...Employed: | E104 | 139,894 | 100.0 | 142,779,946 | 100.0 |
....With health insurance coverage | E105 | 127,208 | 90.9 | 127,829,928 | 89.5 |
.....With private health insurance | E106 | 123,583 | 88.3 | 116,136,040 | 81.3 |
.....With public coverage | E107 | 6,192 | 4.4 | 16,087,515 | 11.3 |
....No health insurance coverage | E108 | 12,686 | 9.1 | 14,950,018 | 10.5 |
...Unemployed: | E109 | 6,951 | 100.0 | 9,340,327 | 100.0 |
....With health insurance coverage | E110 | 4,460 | 64.2 | 7,048,775 | 75.5 |
.....With private health insurance | E111 | 3,657 | 52.6 | 3,867,469 | 41.4 |
.....With public coverage | E112 | 1,106 | 15.9 | 3,523,835 | 37.7 |
....No health insurance coverage | E113 | 2,491 | 35.8 | 2,291,552 | 24.5 |
..Not in labor force: | E114 | 36,138 | 100.0 | 42,219,829 | 100.0 |
...With health insurance coverage | E115 | 30,977 | 85.7 | 35,844,186 | 84.9 |
....With private health insurance | E116 | 23,894 | 66.1 | 21,241,038 | 50.3 |
....With public coverage | E117 | 10,219 | 28.3 | 17,509,893 | 41.5 |
...No health insurance coverage | E118 | 5,161 | 14.3 | 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 | 9.4 | 9.1 | ||
..With related children of the householder under 18 years | E120 | 14.1 | 14.1 | ||
...With related children of the householder under 5 years only | E121 | 19.6 | 13.0 | ||
..Married couple families | E122 | 3.0 | 4.7 | ||
...With related children of the householder under 18 years | E123 | 3.8 | 6.2 | ||
....With related children of the householder under 5 years only | E124 | 3.8 | 4.8 | ||
..Families with female householder, no spouse present | E125 | 22.6 | 24.4 | ||
...With related children of the householder under 18 years | E126 | 27.8 | 33.7 | ||
....With related children of the householder under 5 years only | E127 | 40.3 | 37.9 | ||
.All people | E128 | 15.7 | 12.8 | ||
..Under 18 years | E129 | 12.1 | 16.9 | ||
...Related children of the householder under 18 years | E130 | 11.5 | 16.6 | ||
....Related children of the householder under 5 years | E131 | 9.5 | 18.3 | ||
....Related children of the householder 5 to 17 years | E132 | 12.2 | 16.1 | ||
..18 years and over | E133 | 16.5 | 11.6 | ||
...18 to 64 years | E134 | 18.1 | 11.9 | ||
...65 years and over | E135 | 9.6 | 10.3 | ||
..People in families | E136 | 8.5 | 10.0 | ||
..Unrelated individuals 15 years and over | E137 | 31.1 | 24.0 |
Units in Structure | Jan-20 | Feb-20 | Mar-20 | Apr-20 | May-20 | Jun-20 | Jul-20 | Aug-20 | Sep-20 | Oct-20 | Nov-20 | Dec-20 |
Single Family, Buildings | 62 | 61 | 68 | 53 | 53 | 63 | 72 | 72 | 73 | 76 | 64 | 73 |
Single Family, Units | 62 | 61 | 68 | 53 | 53 | 63 | 72 | 72 | 73 | 76 | 64 | 73 |
Single Family, Value | 12,184 | 11,958 | 13,336 | 10,476 | 10,476 | 12,454 | 14,257 | 14,257 | 14,433 | 15,016 | 12,685 | 14,433 |
2 Unit, Buildings | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 |
2 Unit, Units | 2 | 2 | 2 | 2 | 0 | 2 | 2 | 0 | 2 | 2 | 2 | 2 |
2 Unit, Value | 222 | 222 | 222 | 222 | 0 | 222 | 222 | 0 | 222 | 222 | 222 | 222 |
3-4 Unit, Buildings | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3-4 Unit, Units | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3-4 Unit, Value | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5+ Unit, Buildings | 4 | 2 | 4 | 3 | 4 | 4 | 4 | 3 | 4 | 3 | 4 | 2 |
5+ Unit, Units | 100 | 73 | 89 | 91 | 102 | 96 | 96 | 94 | 94 | 79 | 89 | 85 |
5+ Unit, Value | 12,564 | 9,172 | 11,182 | 11,692 | 13,105 | 12,334 | 12,334 | 12,077 | 12,077 | 10,150 | 11,435 | 10,921 |
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 | 73 | 66 | 89 | 84 | 81 | 87 | 76 | 72 | 70 | 70 | 64 | 66 |
Single Family, Units | 73 | 66 | 89 | 84 | 81 | 87 | 76 | 72 | 70 | 70 | 64 | 66 |
Single Family, Value | 14,433 | 13,037 | 17,577 | 16,594 | 15,959 | 17,175 | 14,973 | 14,216 | 13,810 | 13,810 | 12,648 | 13,000 |
2 Unit, Buildings | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 |
2 Unit, Units | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 0 | 2 | 2 | 0 | 2 |
2 Unit, Value | 222 | 222 | 222 | 222 | 222 | 222 | 222 | 0 | 222 | 222 | 0 | 222 |
3-4 Unit, Buildings | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3-4 Unit, Units | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3-4 Unit, Value | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5+ Unit, Buildings | 4 | 4 | 5 | 3 | 3 | 4 | 3 | 5 | 4 | 4 | 3 | 4 |
5+ Unit, Units | 106 | 98 | 113 | 120 | 82 | 109 | 92 | 149 | 105 | 94 | 107 | 118 |
5+ Unit, Value | 13,619 | 12,591 | 14,518 | 15,336 | 10,479 | 13,930 | 11,757 | 19,042 | 13,419 | 12,013 | 13,674 | 15,080 |
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 | 72 | 74 | 88 | 78 | 74 | 73 | 60 | 63 | 55 | 0 | 0 | 0 |
Single Family, Units | 72 | 74 | 88 | 78 | 74 | 73 | 60 | 63 | 55 | 0 | 0 | 0 |
Single Family, Value | 14,216 | 14,621 | 17,351 | 15,389 | 14,578 | 14,402 | 11,846 | 12,428 | 10,859 | 0 | 0 | 0 |
2 Unit, Buildings | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 |
2 Unit, Units | 0 | 2 | 2 | 2 | 2 | 2 | 2 | 0 | 2 | 0 | 0 | 0 |
2 Unit, Value | 0 | 222 | 222 | 222 | 222 | 222 | 222 | 0 | 222 | 0 | 0 | 0 |
3-4 Unit, Buildings | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3-4 Unit, Units | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3-4 Unit, Value | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5+ Unit, Buildings | 4 | 3 | 6 | 5 | 4 | 5 | 6 | 5 | 4 | 0 | 0 | 0 |
5+ Unit, Units | 127 | 98 | 132 | 130 | 129 | 144 | 146 | 143 | 139 | 0 | 0 | 0 |
5+ Unit, Value | 16,230 | 12,524 | 16,869 | 16,635 | 16,507 | 18,427 | 18,683 | 18,299 | 17,787 | 0 | 0 | 0 |
Units in Structure | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 |
Single Family, Buildings | 536 | 577 | 605 | 678 | 678 | 789 | 898 |
Single Family, Units | 536 | 577 | 605 | 678 | 678 | 789 | 898 |
Single Family, Value | 104,739 | 116,319 | 121,026 | 133,115 | 134,140 | 155,739 | 177,232 |
2 Unit, Buildings | 2 | 4 | 5 | 7 | 7 | 10 | 10 |
2 Unit, Units | 4 | 8 | 10 | 14 | 14 | 20 | 20 |
2 Unit, Value | 680 | 1,160 | 1,108 | 1,551 | 1,551 | 2,216 | 2,216 |
3-4 Unit, Buildings | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
3-4 Unit, Units | 3 | 4 | 0 | 0 | 0 | 0 | 0 |
3-4 Unit, Value | 525 | 1,000 | 0 | 0 | 0 | 0 | 0 |
5+ Unit, Buildings | 8 | 27 | 47 | 42 | 45 | 41 | 46 |
5+ Unit, Units | 152 | 791 | 1,146 | 1,114 | 1,261 | 1,088 | 1,293 |
5+ Unit, Value | 12,969 | 58,543 | 151,399 | 139,967 | 162,013 | 139,043 | 165,458 |
HOUSING CHARACTERISTICS (DP4) | ItemCode | County Estimate | County Percent | U.S. Estimate | U.S. Percent |
HOUSING OCCUPANCY | |||||
.Total housing units | H001 | 135,684 | 100.0 | 142,148,050 | 100.0 |
..Occupied housing units | H002 | 121,423 | 89.5 | 127,544,730 | 89.7 |
..Vacant housing units | H003 | 14,261 | 10.5 | 14,603,320 | 10.3 |
..Homeowner vacancy rate | H004 | 0.80 | 0.90 | ||
..Rental vacancy rate | H005 | 5.00 | 5.20 | ||
UNITS IN STRUCTURE | |||||
.Total housing units | H006 | 135,684 | 100.0 | 142,148,050 | 100.0 |
..1-unit, detached | H007 | 70,293 | 51.8 | 87,804,068 | 61.8 |
..1-unit, attached | H008 | 13,397 | 9.9 | 8,823,839 | 6.2 |
..2 units | H009 | 2,846 | 2.1 | 4,698,934 | 3.3 |
..3 or 4 units | H010 | 8,278 | 6.1 | 6,069,239 | 4.3 |
..5 to 9 units | H011 | 4,657 | 3.4 | 6,379,448 | 4.5 |
..10 to 19 units | H012 | 6,841 | 5.0 | 5,996,065 | 4.2 |
..20 or more units | H013 | 19,503 | 14.4 | 14,201,780 | 10.0 |
..Mobile home | H014 | 9,828 | 7.2 | 8,008,783 | 5.6 |
..Boat, RV, van, etc. | H015 | 41 | 0.0 | 165,894 | 0.1 |
YEAR STRUCTURE BUILT | |||||
.Total housing units | H016 | 135,684 | 100.0 | 142,148,050 | 100.0 |
..Built 2014 or later | H017 | 241 | 0.2 | 1,073,629 | 0.8 |
..Built 2010 to 2013 | H018 | 12,396 | 9.1 | 13,632,007 | 9.6 |
..Built 2000 to 2009 | H019 | 26,135 | 19.3 | 19,697,259 | 13.9 |
..Built 1990 to 1999 | H020 | 25,207 | 18.6 | 17,452,834 | 12.3 |
..Built 1980 to 1989 | H021 | 22,950 | 16.9 | 18,532,262 | 13.0 |
..Built 1970 to 1979 | H022 | 22,760 | 16.8 | 20,442,202 | 14.4 |
..Built 1960 to 1969 | H023 | 12,193 | 9.0 | 14,202,613 | 10.0 |
..Built 1950 to 1959 | H024 | 9,484 | 7.0 | 13,738,856 | 9.7 |
..Built 1940 to 1949 | H025 | 2,787 | 2.1 | 6,474,803 | 4.6 |
..Built 1939 or earlier | H026 | 1,531 | 1.1 | 16,901,585 | 11.9 |
ROOMS | |||||
.Total housing units | H027 | 135,684 | 100.0 | 142,148,050 | 100.0 |
..1 room | H028 | 1,762 | 1.3 | 3,589,031 | 2.5 |
..2 rooms | H029 | 6,964 | 5.1 | 4,350,654 | 3.1 |
..3 rooms | H030 | 14,069 | 10.4 | 12,820,515 | 9.0 |
..4 rooms | H031 | 26,713 | 19.7 | 22,251,103 | 15.7 |
..5 rooms | H032 | 28,901 | 21.3 | 26,439,561 | 18.6 |
..6 rooms | H033 | 22,630 | 16.7 | 24,927,199 | 17.5 |
..7 rooms | H034 | 13,595 | 10.0 | 17,046,581 | 12.0 |
..8 rooms | H035 | 8,722 | 6.4 | 12,894,229 | 9.1 |
..9 rooms or more | H036 | 12,328 | 9.1 | 17,829,177 | 12.5 |
..Median rooms | H037 | 5.1 | 5.6 | ||
BEDROOMS | |||||
.Total housing units | H038 | 135,684 | 100.0 | 142,148,050 | 100.0 |
..No bedroom | H039 | 1,762 | 1.3 | 3,959,211 | 2.8 |
..1 bedroom | H040 | 13,607 | 10.0 | 15,384,897 | 10.8 |
..2 bedrooms | H041 | 37,036 | 27.3 | 35,600,388 | 25.0 |
..3 bedrooms | H042 | 53,902 | 39.7 | 55,386,244 | 39.0 |
..4 bedrooms | H043 | 25,932 | 19.1 | 24,894,730 | 17.5 |
..5 or more bedrooms | H044 | 3,445 | 2.5 | 6,922,580 | 4.9 |
HOUSING TENURE | |||||
.Occupied housing units | H045 | 121,423 | 100.0 | 127,544,730 | 100.0 |
..Owner-occupied | H046 | 65,824 | 54.2 | 83,396,988 | 65.4 |
..Renter-occupied | H047 | 55,599 | 45.8 | 44,147,742 | 34.6 |
..Average household size of owner-occupied unit | H048 | 2.43 | 2.65 | ||
..Average household size of renter-occupied unit | H049 | 2.15 | 2.33 | ||
YEAR HOUSEHOLDER MOVED INTO UNIT | |||||
.Occupied housing units | H050 | 121,423 | 100.0 | 127,544,730 | 100.0 |
..Moved in 2017 or later | H051 | 46,540 | 38.3 | 34,784,732 | 27.3 |
..Moved in 2015 to 2016 | H052 | 26,370 | 21.7 | 28,234,034 | 22.1 |
..Moved in 2010 to 2014 | H053 | 12,416 | 10.2 | 16,462,478 | 12.9 |
..Moved in 2000 to 2009 | H054 | 18,037 | 14.9 | 22,180,943 | 17.4 |
..Moved in 1990 to 1999 | H055 | 10,171 | 8.4 | 12,938,673 | 10.1 |
..Moved in 1989 and earlier | H056 | 7,889 | 6.5 | 12,943,870 | 10.1 |
VEHICLES AVAILABLE | |||||
.Occupied housing units | H057 | 121,423 | 100.0 | 127,544,730 | 100.0 |
..No vehicles available | H058 | 8,258 | 6.8 | 10,263,494 | 8.0 |
..1 vehicle available | H059 | 44,244 | 36.4 | 41,959,133 | 32.9 |
..2 vehicles available | H060 | 46,126 | 38.0 | 47,337,486 | 37.1 |
..3 or more vehicles available | H061 | 22,795 | 18.8 | 27,984,617 | 21.9 |
HOUSE HEATING FUEL | |||||
.Occupied housing units | H062 | 121,423 | 100.0 | 127,544,730 | 100.0 |
..Utility gas | H063 | 11,787 | 9.7 | 59,246,257 | 46.5 |
..Bottled, tank, or LP gas | H064 | 1,875 | 1.5 | 6,326,791 | 5.0 |
..Electricity | H065 | 106,393 | 87.6 | 52,279,174 | 41.0 |
..Fuel oil, kerosene, etc. | H066 | 284 | 0.2 | 5,218,757 | 4.1 |
..Coal or coke | H067 | 70 | 0.1 | 95,160 | 0.1 |
..Wood | H068 | 80 | 0.1 | 1,792,240 | 1.4 |
..Solar energy | H069 | 121 | 0.1 | 362,346 | 0.3 |
..Other fuel | H070 | 0 | 100.0 | 640,525 | 100.0 |
..No fuel used | H071 | 813 | 0.7 | 1,583,480 | 1.2 |
SELECTED CHARACTERISTICS | |||||
.Occupied housing units | H072 | 121,423 | 100.0 | 127,544,730 | 100.0 |
..Lacking complete plumbing facilities | H073 | 263 | 0.2 | 522,752 | 0.4 |
..Lacking complete kitchen facilities | H074 | 848 | 0.7 | 1,027,179 | 0.8 |
..No telephone service available | H075 | 1,061 | 0.9 | 1,152,803 | 0.9 |
OCCUPANTS PER ROOM | |||||
.Occupied housing units | H076 | -1 | 127,544,730 | ||
..1.00 or less | H077 | -1 | 123,222,676 | ||
..1.01 to 1.50 | H078 | -1 | 2,811,853 | ||
..1.51 or more | H079 | -1 | 1,510,201 | ||
VALUE | |||||
.Owner-occupied units | H080 | 65,824 | 100.0 | 83,396,988 | 100.0 |
..Less than $50,000 | H081 | 2,244 | 3.4 | 5,012,399 | 6.0 |
..$50,000 to $99,999 | H082 | 5,608 | 8.5 | 6,591,730 | 7.9 |
..$100,000 to $149,999 | H083 | 7,307 | 11.1 | 7,393,172 | 8.9 |
..$150,000 to $199,999 | H084 | 10,457 | 15.9 | 9,312,599 | 11.2 |
..$200,000 to $299,999 | H085 | 14,766 | 22.4 | 16,283,130 | 19.5 |
..$300,000 to $499,999 | H086 | 18,361 | 27.9 | 20,456,170 | 24.5 |
..$500,000 to $999,999 | H087 | 6,689 | 10.2 | 14,149,578 | 17.0 |
..$1,000,000 or more | H088 | 392 | 0.6 | 4,198,210 | 5.0 |
..Median (dollars) | H089 | 249,100 | 281,400 | ||
MORTGAGE STATUS | |||||
.Owner-occupied units | H090 | 65,824 | 100.0 | 83,396,988 | 100.0 |
..Housing units with a mortgage | H091 | 40,983 | 62.3 | 51,114,260 | 61.3 |
..Housing units without a mortgage | H092 | 24,841 | 37.7 | 32,282,728 | 38.7 |
SELECTED MONTHLY OWNER COSTS (SMOC) | |||||
.Housing units with a mortgage | H093 | 40,983 | 100.0 | 51,114,260 | 100.0 |
..Less than $500 | H094 | 353 | 0.9 | 610,377 | 1.2 |
..$500 to $999 | H095 | 7,933 | 19.4 | 7,554,733 | 14.8 |
..$1,000 to $1,499 | H096 | 12,594 | 30.7 | 13,171,613 | 25.8 |
..$1,500 to $1,999 | H097 | 9,797 | 23.9 | 11,146,103 | 21.8 |
..$2,000 to $2,499 | H098 | 4,736 | 11.6 | 7,205,428 | 14.1 |
..$2,500 to $2,999 | H099 | 3,062 | 7.5 | 4,377,761 | 8.6 |
..$3,000 or more | H100 | 2,508 | 6.1 | 7,048,245 | 13.8 |
..Median (dollars) | H101 | 1,483 | 1,672 | ||
.Housing units without a mortgage | H102 | 24,841 | 100.0 | 32,282,728 | 100.0 |
..Less than $250 | H103 | 1,494 | 6.0 | 3,275,543 | 10.1 |
..$250 to $399 | H104 | 6,662 | 26.8 | 6,595,521 | 20.4 |
..$400 to $599 | H105 | 8,633 | 34.8 | 8,756,466 | 27.1 |
..$600 to $799 | H106 | 4,810 | 19.4 | 5,686,328 | 17.6 |
..$800 to $999 | H107 | 1,513 | 6.1 | 3,229,527 | 10.0 |
..$1,000 or more | H108 | 1,729 | 7.0 | 4,739,343 | 14.7 |
..Median (dollars) | H109 | 499 | 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 | 40,813 | 100.0 | 50,836,661 | 100.0 |
..Less than 20.0 percent | H111 | 20,795 | 51.0 | 24,183,280 | 47.6 |
..20.0 to 24.9 percent | H112 | 7,024 | 17.2 | 7,621,860 | 15.0 |
..25.0 to 29.9 percent | H113 | 3,522 | 8.6 | 5,016,096 | 9.9 |
..30.0 to 34.9 percent | H114 | 3,186 | 7.8 | 3,332,250 | 6.6 |
..35.0 percent or more | H115 | 6,286 | 15.4 | 10,683,175 | 21.0 |
..Not computed | H116 | 170 | -1.0 | 277,599 | -1.0 |
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed) | H117 | 24,285 | 100.0 | 31,799,186 | 100.0 |
..Less than 10.0 percent | H118 | 13,200 | 54.4 | 14,658,010 | 46.1 |
..10.0 to 14.9 percent | H119 | 4,192 | 17.3 | 6,068,100 | 19.1 |
..15.0 to 19.9 percent | H120 | 1,788 | 7.4 | 3,345,349 | 10.5 |
..20.0 to 24.9 percent | H121 | 928 | 3.8 | 2,022,803 | 6.4 |
..25.0 to 29.9 percent | H122 | 828 | 3.4 | 1,293,336 | 4.1 |
..30.0 to 34.9 percent | H123 | 504 | 2.1 | 882,995 | 2.8 |
..35.0 percent or more | H124 | 2,845 | 11.7 | 3,528,593 | 11.1 |
..Not computed | H125 | 556 | -1.0 | 483,542 | -1.0 |
GROSS RENT | |||||
.Occupied units paying rent | H126 | 53,987 | 100.0 | 41,991,861 | 100.0 |
..Less than $500 | H127 | 2,071 | 3.8 | 3,320,529 | 7.9 |
..$500 to $999 | H128 | 16,985 | 31.5 | 12,202,521 | 29.1 |
..$1,000 to $1,499 | H129 | 26,265 | 48.7 | 12,853,108 | 30.6 |
..$1,500 to $1,999 | H130 | 6,145 | 11.4 | 7,483,407 | 17.8 |
..$2,000 to $2,499 | H131 | 2,001 | 3.7 | 3,236,958 | 7.7 |
..$2,500 to $2,999 | H132 | 286 | 0.5 | 1,310,696 | 3.1 |
..$3,000 or more | H133 | 234 | 0.4 | 1,584,642 | 3.8 |
..Median (dollars) | H134 | 1,131 | 1,191 | ||
..No rent paid | H135 | 1,612 | -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 | 53,017 | 100.0 | 40,979,329 | 100.0 |
..Less than 15.0 percent | H137 | 5,587 | 10.5 | 5,229,582 | 12.8 |
..15.0 to 19.9 percent | H138 | 4,077 | 7.7 | 5,001,591 | 12.2 |
..20.0 to 24.9 percent | H139 | 7,390 | 13.9 | 5,122,898 | 12.5 |
..25.0 to 29.9 percent | H140 | 4,647 | 8.8 | 4,703,786 | 11.5 |
..30.0 to 34.9 percent | H141 | 4,240 | 8.0 | 3,737,862 | 9.1 |
..35.0 percent or more | H142 | 27,076 | 51.1 | 17,183,610 | 41.9 |
..Not computed | H143 | 2,582 | -1.0 | 3,168,413 | -1.0 |
Industry | NAICS | Owner | Estabs | Estabs% | Emp | Emp% | Wages | Wages% | AWW |
Total, all owners | 10 | 0 | 10,008 | 100.0 | 153,541 | 100.0 | 2,002,189,793 | 100.0 | 1,003 |
Total, Federal | 10 | 1 | 43 | 0.4 | 1,916 | 1.2 | 36,137,539 | 1.8 | 1,451 |
Total, State | 10 | 2 | 176 | 1.8 | 34,130 | 22.2 | 453,769,463 | 22.7 | 1,023 |
Total, Local | 10 | 3 | 22 | 0.2 | 11,631 | 7.6 | 142,288,674 | 7.1 | 941 |
Total, Private | 10 | 5 | 9,767 | 97.6 | 105,864 | 68.9 | 1,369,994,117 | 68.4 | 995 |
Agriculture, forestry, fishing and hunting | 11 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Agriculture, forestry, fishing and hunting | 11 | 5 | 36 | 0.4 | 0 | 0.0 | 0 | 0.0 | 0 |
Crop production | 111 | 5 | 13 | 0.1 | 49 | 0.0 | 564,026 | 0.0 | 885 |
Animal production | 112 | 5 | 5 | 0.0 | 22 | 0.0 | 309,967 | 0.0 | 1,100 |
Forestry and logging | 113 | 5 | 7 | 0.1 | 19 | 0.0 | 213,707 | 0.0 | 865 |
Fishing, hunting and trapping | 114 | 5 | 2 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Agriculture and forestry support activities | 115 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Agriculture and forestry support activities | 115 | 5 | 9 | 0.1 | 42 | 0.0 | 520,567 | 0.0 | 961 |
Mining | 21 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Oil and gas extraction | 211 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Utilities | 22 | 5 | 12 | 0.1 | 103 | 0.1 | 2,414,882 | 0.1 | 1,809 |
Utilities | 221 | 5 | 12 | 0.1 | 103 | 0.1 | 2,414,882 | 0.1 | 1,809 |
Construction | 23 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Construction | 23 | 5 | 856 | 8.6 | 6,291 | 4.1 | 76,993,013 | 3.8 | 941 |
Construction of buildings | 236 | 5 | 238 | 2.4 | 1,312 | 0.9 | 18,369,806 | 0.9 | 1,077 |
Heavy and civil engineering construction | 237 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Heavy and civil engineering construction | 237 | 5 | 45 | 0.4 | 372 | 0.2 | 5,373,419 | 0.3 | 1,111 |
Specialty trade contractors | 238 | 5 | 573 | 5.7 | 4,607 | 3.0 | 53,249,788 | 2.7 | 889 |
Manufacturing | 31-33 | 5 | 148 | 1.5 | 2,299 | 1.5 | 42,891,623 | 2.1 | 1,435 |
Food manufacturing | 311 | 5 | 7 | 0.1 | 60 | 0.0 | 804,667 | 0.0 | 1,026 |
Beverage and tobacco product manufacturing | 312 | 5 | 7 | 0.1 | 61 | 0.0 | 435,404 | 0.0 | 546 |
Textile mills | 313 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Textile product mills | 314 | 5 | 4 | 0.0 | 10 | 0.0 | 34,211 | 0.0 | 263 |
Apparel manufacturing | 315 | 5 | 5 | 0.0 | 13 | 0.0 | 269,481 | 0.0 | 1,595 |
Leather and allied product manufacturing | 316 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Wood product manufacturing | 321 | 5 | 4 | 0.0 | 5 | 0.0 | 114,228 | 0.0 | 1,757 |
Paper manufacturing | 322 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Printing and related support activities | 323 | 5 | 28 | 0.3 | 142 | 0.1 | 1,355,395 | 0.1 | 736 |
Petroleum and coal products manufacturing | 324 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Chemical manufacturing | 325 | 5 | 9 | 0.1 | 32 | 0.0 | 1,883,549 | 0.1 | 4,528 |
Plastics and rubber products manufacturing | 326 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Nonmetallic mineral product manufacturing | 327 | 5 | 8 | 0.1 | 186 | 0.1 | 3,481,204 | 0.2 | 1,440 |
Primary metal manufacturing | 331 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Fabricated metal product manufacturing | 332 | 5 | 14 | 0.1 | 155 | 0.1 | 2,656,957 | 0.1 | 1,321 |
Machinery manufacturing | 333 | 5 | 11 | 0.1 | 484 | 0.3 | 9,093,981 | 0.5 | 1,446 |
Computer and electronic product manufacturing | 334 | 5 | 9 | 0.1 | 34 | 0.0 | 834,642 | 0.0 | 1,870 |
Electrical equipment and appliance manufacturing | 335 | 5 | 2 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Transportation equipment manufacturing | 336 | 5 | 6 | 0.1 | 434 | 0.3 | 7,724,372 | 0.4 | 1,370 |
Furniture and related product manufacturing | 337 | 5 | 6 | 0.1 | 123 | 0.1 | 1,183,552 | 0.1 | 738 |
Miscellaneous manufacturing | 339 | 5 | 22 | 0.2 | 478 | 0.3 | 9,259,760 | 0.5 | 1,490 |
Wholesale trade | 42 | 5 | 311 | 3.1 | 2,476 | 1.6 | 68,918,691 | 3.4 | 2,141 |
Merchant wholesalers, durable goods | 423 | 5 | 189 | 1.9 | 1,554 | 1.0 | 47,581,104 | 2.4 | 2,355 |
Merchant wholesalers, nondurable goods | 424 | 5 | 84 | 0.8 | 807 | 0.5 | 16,491,108 | 0.8 | 1,571 |
Electronic markets and agents and brokers | 425 | 5 | 38 | 0.4 | 115 | 0.1 | 4,846,479 | 0.2 | 3,251 |
Retail trade | 44-45 | 5 | 1,059 | 10.6 | 15,609 | 10.2 | 127,818,822 | 6.4 | 630 |
Motor vehicle and parts dealers | 441 | 5 | 133 | 1.3 | 2,039 | 1.3 | 30,057,790 | 1.5 | 1,134 |
Building material and garden supply stores | 444 | 5 | 81 | 0.8 | 1,385 | 0.9 | 13,099,380 | 0.7 | 727 |
Food and beverage stores | 445 | 5 | 109 | 1.1 | 3,485 | 2.3 | 21,804,087 | 1.1 | 481 |
Food and beverage stores | 449 | 5 | 75 | 0.7 | 725 | 0.5 | 7,770,292 | 0.4 | 825 |
Food and beverage stores | 455 | 5 | 72 | 0.7 | 3,460 | 2.3 | 24,458,684 | 1.2 | 544 |
Food and beverage stores | 456 | 5 | 114 | 1.1 | 1,017 | 0.7 | 8,733,715 | 0.4 | 661 |
Food and beverage stores | 457 | 5 | 112 | 1.1 | 732 | 0.5 | 4,439,529 | 0.2 | 466 |
Food and beverage stores | 458 | 5 | 134 | 1.3 | 1,153 | 0.8 | 4,991,799 | 0.2 | 333 |
Food and beverage stores | 459 | 5 | 229 | 2.3 | 1,613 | 1.1 | 12,463,546 | 0.6 | 595 |
Transportation and warehousing | 48-49 | 1 | 6 | 0.1 | 631 | 0.4 | 10,012,571 | 0.5 | 1,220 |
Transportation and warehousing | 48-49 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Transportation and warehousing | 48-49 | 5 | 134 | 1.3 | 1,665 | 1.1 | 18,984,080 | 0.9 | 877 |
Air transportation | 481 | 5 | 4 | 0.0 | 43 | 0.0 | 507,196 | 0.0 | 900 |
Water transportation | 483 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Truck transportation | 484 | 5 | 63 | 0.6 | 403 | 0.3 | 5,093,305 | 0.3 | 973 |
Transit and ground passenger transportation | 485 | 5 | 18 | 0.2 | 257 | 0.2 | 2,127,182 | 0.1 | 637 |
Scenic and sightseeing transportation | 487 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Support activities for transportation | 488 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Support activities for transportation | 488 | 5 | 25 | 0.2 | 193 | 0.1 | 3,040,790 | 0.2 | 1,212 |
Postal service | 491 | 1 | 6 | 0.1 | 631 | 0.4 | 10,012,571 | 0.5 | 1,220 |
Couriers and messengers | 492 | 5 | 20 | 0.2 | 762 | 0.5 | 8,157,617 | 0.4 | 824 |
Warehousing and storage | 493 | 5 | 2 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Information | 51 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Information | 51 | 3 | 2 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Information | 51 | 5 | 216 | 2.2 | 3,425 | 2.2 | 62,991,140 | 3.1 | 1,415 |
Motion picture and sound recording industries | 512 | 5 | 21 | 0.2 | 131 | 0.1 | 805,791 | 0.0 | 473 |
Motion picture and sound recording industries | 513 | 5 | 76 | 0.8 | 447 | 0.3 | 9,886,589 | 0.5 | 1,703 |
Internet publishing and broadcasting | 516 | 5 | 17 | 0.2 | 427 | 0.3 | 7,217,928 | 0.4 | 1,300 |
Telecommunications | 517 | 5 | 38 | 0.4 | 865 | 0.6 | 28,194,702 | 1.4 | 2,508 |
ISPs, search portals, and data processing | 518 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
ISPs, search portals, and data processing | 518 | 5 | 49 | 0.5 | 1,380 | 0.9 | 13,805,855 | 0.7 | 769 |
Other information services | 519 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Other information services | 519 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Other information services | 519 | 5 | 15 | 0.1 | 175 | 0.1 | 3,080,275 | 0.2 | 1,354 |
Finance and insurance | 52 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Finance and insurance | 52 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Finance and insurance | 52 | 5 | 512 | 5.1 | 4,550 | 3.0 | 117,057,526 | 5.8 | 1,979 |
Credit intermediation and related activities | 522 | 5 | 174 | 1.7 | 1,909 | 1.2 | 38,409,625 | 1.9 | 1,547 |
Securities, commodity contracts, investments | 523 | 5 | 96 | 1.0 | 314 | 0.2 | 26,435,075 | 1.3 | 6,469 |
Insurance carriers and related activities | 524 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Insurance carriers and related activities | 524 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Insurance carriers and related activities | 524 | 5 | 235 | 2.3 | 2,321 | 1.5 | 51,734,464 | 2.6 | 1,715 |
Funds, trusts, and other financial vehicles | 525 | 5 | 7 | 0.1 | 6 | 0.0 | 478,362 | 0.0 | 6,494 |
Real estate and rental and leasing | 53 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Real estate and rental and leasing | 53 | 5 | 477 | 4.8 | 2,358 | 1.5 | 29,859,087 | 1.5 | 974 |
Real estate | 531 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Real estate | 531 | 5 | 418 | 4.2 | 1,907 | 1.2 | 22,788,326 | 1.1 | 919 |
Rental and leasing services | 532 | 5 | 57 | 0.6 | 0 | 0.0 | 0 | 0.0 | 0 |
Lessors of nonfinancial intangible assets | 533 | 5 | 2 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Professional and technical services | 54 | 1 | 1 | 0.0 | 22 | 0.0 | 524,848 | 0.0 | 1,808 |
Professional and technical services | 54 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Professional and technical services | 54 | 5 | 1,861 | 18.6 | 12,280 | 8.0 | 253,102,986 | 12.6 | 1,586 |
Professional and technical services | 541 | 1 | 1 | 0.0 | 22 | 0.0 | 524,848 | 0.0 | 1,808 |
Professional and technical services | 541 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Professional and technical services | 541 | 5 | 1,861 | 18.6 | 12,280 | 8.0 | 253,102,986 | 12.6 | 1,586 |
Management of companies and enterprises | 55 | 5 | 75 | 0.7 | 711 | 0.5 | 22,788,123 | 1.1 | 2,465 |
Management of companies and enterprises | 551 | 5 | 75 | 0.7 | 711 | 0.5 | 22,788,123 | 1.1 | 2,465 |
Administrative and waste services | 56 | 3 | 2 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Administrative and waste services | 56 | 5 | 866 | 8.7 | 7,559 | 4.9 | 78,231,014 | 3.9 | 796 |
Administrative and support services | 561 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Administrative and support services | 561 | 5 | 845 | 8.4 | 7,454 | 4.9 | 76,431,358 | 3.8 | 789 |
Waste management and remediation services | 562 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Waste management and remediation services | 562 | 5 | 21 | 0.2 | 106 | 0.1 | 1,799,656 | 0.1 | 1,310 |
Educational services | 61 | 2 | 3 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Educational services | 61 | 3 | 2 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Educational services | 61 | 5 | 148 | 1.5 | 2,012 | 1.3 | 21,032,994 | 1.1 | 804 |
Educational services | 611 | 2 | 3 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Educational services | 611 | 3 | 2 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Educational services | 611 | 5 | 148 | 1.5 | 2,012 | 1.3 | 21,032,994 | 1.1 | 804 |
Health care and social assistance | 62 | 1 | 1 | 0.0 | 293 | 0.2 | 5,645,619 | 0.3 | 1,480 |
Health care and social assistance | 62 | 2 | 5 | 0.0 | 129 | 0.1 | 1,505,026 | 0.1 | 897 |
Health care and social assistance | 62 | 5 | 1,087 | 10.9 | 20,558 | 13.4 | 286,217,181 | 14.3 | 1,071 |
Ambulatory health care services | 621 | 1 | 1 | 0.0 | 293 | 0.2 | 5,645,619 | 0.3 | 1,480 |
Ambulatory health care services | 621 | 5 | 555 | 5.5 | 8,731 | 5.7 | 147,101,663 | 7.3 | 1,296 |
Hospitals | 622 | 5 | 17 | 0.2 | 6,340 | 4.1 | 95,526,712 | 4.8 | 1,159 |
Nursing and residential care facilities | 623 | 5 | 59 | 0.6 | 2,384 | 1.6 | 20,559,767 | 1.0 | 663 |
Social assistance | 624 | 2 | 5 | 0.0 | 129 | 0.1 | 1,505,026 | 0.1 | 897 |
Social assistance | 624 | 5 | 456 | 4.6 | 3,103 | 2.0 | 23,029,039 | 1.2 | 571 |
Arts, entertainment, and recreation | 71 | 1 | 1 | 0.0 | 29 | 0.0 | 381,605 | 0.0 | 1,001 |
Arts, entertainment, and recreation | 71 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Arts, entertainment, and recreation | 71 | 5 | 129 | 1.3 | 1,568 | 1.0 | 7,937,006 | 0.4 | 389 |
Performing arts and spectator sports | 711 | 5 | 40 | 0.4 | 352 | 0.2 | 1,582,758 | 0.1 | 346 |
Museums, historical sites, zoos, and parks | 712 | 1 | 1 | 0.0 | 29 | 0.0 | 381,605 | 0.0 | 1,001 |
Museums, historical sites, zoos, and parks | 712 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Museums, historical sites, zoos, and parks | 712 | 5 | 7 | 0.1 | 77 | 0.1 | 442,187 | 0.0 | 440 |
Amusements, gambling, and recreation | 713 | 5 | 82 | 0.8 | 1,139 | 0.7 | 5,912,061 | 0.3 | 399 |
Accommodation and food services | 72 | 5 | 783 | 7.8 | 16,665 | 10.9 | 80,337,384 | 4.0 | 371 |
Accommodation | 721 | 5 | 81 | 0.8 | 1,401 | 0.9 | 9,943,200 | 0.5 | 546 |
Food services and drinking places | 722 | 5 | 702 | 7.0 | 15,265 | 9.9 | 70,394,184 | 3.5 | 355 |
Other services, except public administration | 81 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Other services, except public administration | 81 | 5 | 864 | 8.6 | 5,413 | 3.5 | 68,507,048 | 3.4 | 974 |
Repair and maintenance | 811 | 5 | 231 | 2.3 | 1,137 | 0.7 | 11,928,613 | 0.6 | 807 |
Personal and laundry services | 812 | 5 | 199 | 2.0 | 1,308 | 0.9 | 9,656,977 | 0.5 | 568 |
Membership associations and organizations | 813 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Membership associations and organizations | 813 | 5 | 276 | 2.8 | 2,748 | 1.8 | 45,355,893 | 2.3 | 1,270 |
Private households | 814 | 5 | 158 | 1.6 | 219 | 0.1 | 1,565,565 | 0.1 | 549 |
Public administration | 92 | 1 | 34 | 0.3 | 940 | 0.6 | 19,572,896 | 1.0 | 1,602 |
Public administration | 92 | 2 | 161 | 1.6 | 22,964 | 15.0 | 279,917,609 | 14.0 | 938 |
Public administration | 92 | 3 | 13 | 0.1 | 5,125 | 3.3 | 77,906,302 | 3.9 | 1,169 |
Executive, legislative and general government | 921 | 1 | 2 | 0.0 | 26 | 0.0 | 596,461 | 0.0 | 1,765 |
Executive, legislative and general government | 921 | 2 | 30 | 0.3 | 4,352 | 2.8 | 58,392,629 | 2.9 | 1,032 |
Executive, legislative and general government | 921 | 3 | 6 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
Justice, public order, and safety activities | 922 | 1 | 10 | 0.1 | 497 | 0.3 | 10,810,937 | 0.5 | 1,674 |
Justice, public order, and safety activities | 922 | 2 | 25 | 0.2 | 4,425 | 2.9 | 54,975,036 | 2.7 | 956 |
Justice, public order, and safety activities | 922 | 3 | 2 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Administration of human resource programs | 923 | 1 | 6 | 0.1 | 116 | 0.1 | 2,481,118 | 0.1 | 1,641 |
Administration of human resource programs | 923 | 2 | 33 | 0.3 | 6,696 | 4.4 | 75,872,202 | 3.8 | 872 |
Administration of human resource programs | 923 | 3 | 2 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Administration of environmental programs | 924 | 1 | 3 | 0.0 | 88 | 0.1 | 1,656,101 | 0.1 | 1,448 |
Administration of environmental programs | 924 | 2 | 16 | 0.2 | 0 | 0.0 | 0 | 0.0 | 0 |
Community and housing program administration | 925 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Community and housing program administration | 925 | 3 | 2 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Administration of economic programs | 926 | 1 | 11 | 0.1 | 181 | 0.1 | 3,539,100 | 0.2 | 1,507 |
Administration of economic programs | 926 | 2 | 56 | 0.6 | 5,817 | 3.8 | 69,873,711 | 3.5 | 924 |
Administration of economic programs | 926 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
National security and international affairs | 928 | 1 | 2 | 0.0 | 32 | 0.0 | 489,179 | 0.0 | 1,176 |
Unclassified establishments | 99 | 5 | 192 | 1.9 | 184 | 0.1 | 2,180,859 | 0.1 | 913 |
Unclassified establishments | 999 | 5 | 192 | 1.9 | 184 | 0.1 | 2,180,859 | 0.1 | 913 |