In 2019, Kauai had a personal income of $3,726,328*. This personal income ranked 4th in the state and accounted for 4.6 percent of the state total. In 2009, the personal income of Kauai was $2,322,396* and ranked 4th in the state.
In 2019, Kauai produced $4,448,334 in current-dollar total GDP*. This GDP ranked 4th in the state and accounted for 4.6 percent of the state total. In 2009, the total GDP of Kauai was $2,678,256 and ranked 4th in the state.
In 2019, Kauai real GDP grew 4.1 percent; the 2018-2019 state change was 0.3 percent. The 2009-2019 compound annual growth rate for Kauai real GDP was 3.2 percent; the compound annual growth rate for the state was 1.8 percent.
*GDP estimates are in thousands of dollars.
Subject Matter Item | 2010 | 2010% | 2020 | 2020% | 2010-20 Change | 2010-20% Change |
Total population | 67,091 | 100.0 | 73,298 | 100.0 | 6,207 | 9.3 |
One race | 50,375 | 75.1 | 53,290 | 72.7 | 2,915 | 5.8 |
White alone | 22,159 | 33.0 | 23,204 | 31.7 | 1,045 | 4.7 |
Black alone | 278 | 0.4 | 376 | 0.5 | 98 | 35.3 |
American India/Alaskan Native alone | 254 | 0.4 | 287 | 0.4 | 33 | 13.0 |
Asian alone | 21,016 | 31.3 | 21,102 | 28.8 | 86 | 0.4 |
Native Hawaiian and Other Pacific Islander alone | 6,060 | 9.0 | 7,227 | 9.9 | 1,167 | 19.3 |
Other race | 608 | 0.9 | 1,094 | 1.5 | 486 | 79.9 |
Two or more races | 16,716 | 24.9 | 20,008 | 27.3 | 3,292 | 19.7 |
White, Non-Hispanic | 20,611 | 30.7 | 22,194 | 30.3 | 1,583 | 7.7 |
Black Non-Hispanic | 258 | 0.4 | 352 | 0.5 | 94 | 36.4 |
Hispanic (of any race) | 6,315 | 9.4 | 7,394 | 10.1 | 1,079 | 17.1 |
Total population, 18 years or older | 51,868 | 77.3 | 57,544 | 78.5 | 5,676 | 10.9 |
One race | 42,064 | 62.7 | 44,830 | 61.2 | 2,766 | 6.6 |
White alone | 19,144 | 28.5 | 20,206 | 27.6 | 1,062 | 5.5 |
Black alone | 224 | 0.3 | 322 | 0.4 | 98 | 43.8 |
American India/Alaskan Native alone | 212 | 0.3 | 238 | 0.3 | 26 | 12.3 |
Asian alone | 17,679 | 26.4 | 18,038 | 24.6 | 359 | 2.0 |
Native Hawaiian and Other Pacific Islander alone | 4,336 | 6.5 | 5,106 | 7.0 | 770 | 17.8 |
Other race | 469 | 0.7 | 920 | 1.3 | 451 | 96.2 |
Two or more races | 9,804 | 14.6 | 12,714 | 17.3 | 2,910 | 29.7 |
White, Non-Hispanic | 17,967 | 26.8 | 19,432 | 26.5 | 1,465 | 8.2 |
Black Non-Hispanic | 208 | 0.3 | 300 | 0.4 | 92 | 44.2 |
Hispanic (of any race) | 4,008 | 6.0 | 4,858 | 6.6 | 850 | 21.2 |
Group Quarters population | 1,161 | 1.7 | 931 | 1.3 | -230 | -19.8 |
Group Quarters, institutionalized population | 628 | 0.9 | 460 | 0.6 | -168 | -26.8 |
Group Quarters, noninstitutionalized population | 533 | 0.8 | 471 | 0.6 | -62 | -11.6 |
Housing Units | 29,793 | 100.0 | 30,157 | 100.0 | 364 | 1.2 |
Occupied | 23,240 | 78.0 | 24,712 | 81.9 | 1,472 | 6.3 |
Vacant | 6,553 | 22.0 | 5,445 | 18.1 | -1,108 | -16.9 |
Population/Component | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
Population | 67,208 | 67,894 | 68,680 | 69,653 | 70,316 | 71,052 | 71,574 | 71,838 | 72,292 | 72,190 | 71,851 |
Births | 196 | 891 | 881 | 843 | 909 | 892 | 888 | 804 | 812 | 755 | 755 |
Deaths | 165 | 575 | 495 | 515 | 582 | 542 | 569 | 586 | 592 | 673 | 760 |
Natural Increase | 31 | 316 | 386 | 328 | 327 | 350 | 319 | 218 | 220 | 82 | -5 |
Net Migration | 93 | 373 | 414 | 643 | 341 | 394 | 208 | 52 | 238 | -184 | -335 |
International | 88 | 420 | 438 | 252 | 137 | 275 | 428 | 245 | 262 | 120 | 91 |
Domestic | 91 | 5 | -47 | -24 | 391 | 204 | 119 | -220 | -193 | -24 | -304 |
Group Quarters | 1,160 | 1,169 | 1,174 | 1,183 | 1,252 | 1,220 | 1,179 | 1,181 | 1,176 | 1,157 | 1,158 |
Residence 1 Year Age | Geocode | Moved to 15007 | Moved from 15007 | Net Movers |
Africa | null | 34 | null | null |
Asia | null | 414 | null | null |
Europe | null | 33 | null | null |
U.S. Island Areas | null | 6 | null | null |
Northern America | null | 74 | null | null |
Oceania and At Sea | null | 117 | null | null |
Houston County, Alabama | 01069 | 56 | 0 | 56 |
Anchorage Municipality, Alaska | 02020 | 205 | 0 | 205 |
Coconino County, Arizona | 04005 | 31 | 0 | 31 |
Maricopa County, Arizona | 04013 | 0 | 75 | -75 |
Pima County, Arizona | 04019 | 0 | 107 | -107 |
Pinal County, Arizona | 04021 | 27 | 0 | 27 |
Contra Costa County, California | 06013 | 3 | 55 | -52 |
Kern County, California | 06029 | 0 | 34 | -34 |
Los Angeles County, California | 06037 | 139 | 76 | 63 |
Marin County, California | 06041 | 4 | 0 | 4 |
Mariposa County, California | 06043 | 3 | 0 | 3 |
Monterey County, California | 06053 | 0 | 7 | -7 |
Napa County, California | 06055 | 33 | 0 | 33 |
Orange County, California | 06059 | 0 | 39 | -39 |
Riverside County, California | 06065 | 8 | 133 | -125 |
Sacramento County, California | 06067 | 0 | 17 | -17 |
San Bernardino County, California | 06071 | 0 | 31 | -31 |
San Diego County, California | 06073 | 54 | 181 | -127 |
San Francisco County, California | 06075 | 27 | 0 | 27 |
San Joaquin County, California | 06077 | 0 | 15 | -15 |
Santa Barbara County, California | 06083 | 21 | 15 | 6 |
Santa Clara County, California | 06085 | 85 | 0 | 85 |
Santa Cruz County, California | 06087 | 20 | 2 | 18 |
Shasta County, California | 06089 | 22 | 0 | 22 |
Siskiyou County, California | 06093 | 16 | 0 | 16 |
Sonoma County, California | 06097 | 14 | 30 | -16 |
Ventura County, California | 06111 | 11 | 138 | -127 |
Yolo County, California | 06113 | 24 | 0 | 24 |
Arapahoe County, Colorado | 08005 | 29 | 0 | 29 |
Broomfield County, Colorado | 08014 | 0 | 38 | -38 |
Douglas County, Colorado | 08035 | 0 | 9 | -9 |
El Paso County, Colorado | 08041 | 134 | 0 | 134 |
Jefferson County, Colorado | 08059 | 0 | 13 | -13 |
Montrose County, Colorado | 08085 | 62 | 0 | 62 |
Hartford County, Connecticut | 09003 | 0 | 40 | -40 |
District of Columbia, District of Columbia | 11001 | 3 | 0 | 3 |
Alachua County, Florida | 12001 | 14 | 0 | 14 |
Collier County, Florida | 12021 | 35 | 0 | 35 |
Duval County, Florida | 12031 | 2 | 0 | 2 |
Hillsborough County, Florida | 12057 | 0 | 17 | -17 |
Martin County, Florida | 12085 | 6 | 0 | 6 |
Pinellas County, Florida | 12103 | 4 | 21 | -17 |
Sarasota County, Florida | 12115 | 0 | 29 | -29 |
Cobb County, Georgia | 13067 | 7 | 0 | 7 |
Fulton County, Georgia | 13121 | 26 | 0 | 26 |
Hawaii County, Hawaii | 15001 | 278 | 102 | 176 |
Honolulu County, Hawaii | 15003 | 322 | 409 | -87 |
Maui County, Hawaii | 15009 | 84 | 191 | -107 |
Canyon County, Idaho | 16027 | 11 | 8 | 3 |
Gem County, Idaho | 16045 | 0 | 33 | -33 |
Kootenai County, Idaho | 16055 | 4 | 1 | 3 |
Madison County, Idaho | 16065 | 4 | 0 | 4 |
Champaign County, Illinois | 17019 | 0 | 20 | -20 |
De Witt County, Illinois | 17039 | 14 | 0 | 14 |
Jefferson County, Illinois | 17081 | 0 | 5 | -5 |
Stephenson County, Illinois | 17177 | 0 | 6 | -6 |
Marion County, Indiana | 18097 | 39 | 0 | 39 |
Black Hawk County, Iowa | 19013 | 20 | 0 | 20 |
Leavenworth County, Kansas | 20103 | 0 | 14 | -14 |
St. James Parish, Louisiana | 22093 | 0 | 39 | -39 |
Franklin County, Maine | 23007 | 0 | 19 | -19 |
Middlesex County, Massachusetts | 25017 | 49 | 0 | 49 |
Shiawassee County, Michigan | 26155 | 5 | 0 | 5 |
Wexford County, Michigan | 26165 | 0 | 14 | -14 |
Hennepin County, Minnesota | 27053 | 43 | 0 | 43 |
Wadena County, Minnesota | 27159 | 47 | 0 | 47 |
Flathead County, Montana | 30029 | 0 | 24 | -24 |
Ravalli County, Montana | 30081 | 10 | 0 | 10 |
Clark County, Nevada | 32003 | 7 | 84 | -77 |
Douglas County, Nevada | 32005 | 0 | 12 | -12 |
Nassau County, New York | 36059 | 25 | 0 | 25 |
Schenectady County, New York | 36093 | 18 | 0 | 18 |
Carteret County, North Carolina | 37031 | 0 | 4 | -4 |
Grand Forks County, North Dakota | 38035 | 0 | 5 | -5 |
Cuyahoga County, Ohio | 39035 | 5 | 0 | 5 |
Mercer County, Ohio | 39107 | 16 | 0 | 16 |
Comanche County, Oklahoma | 40031 | 0 | 20 | -20 |
Tulsa County, Oklahoma | 40143 | 0 | 25 | -25 |
Clackamas County, Oregon | 41005 | 11 | 9 | 2 |
Deschutes County, Oregon | 41017 | 75 | 0 | 75 |
Josephine County, Oregon | 41033 | 0 | 5 | -5 |
Lane County, Oregon | 41039 | 10 | 8 | 2 |
Linn County, Oregon | 41043 | 0 | 44 | -44 |
Multnomah County, Oregon | 41051 | 28 | 59 | -31 |
Polk County, Oregon | 41053 | 0 | 13 | -13 |
Washington County, Oregon | 41067 | 22 | 0 | 22 |
Allegheny County, Pennsylvania | 42003 | 0 | 152 | -152 |
Chester County, Pennsylvania | 42029 | 0 | 7 | -7 |
Monroe County, Pennsylvania | 42089 | 0 | 17 | -17 |
Montgomery County, Pennsylvania | 42091 | 0 | 10 | -10 |
Philadelphia County, Pennsylvania | 42101 | 0 | 9 | -9 |
Newport County, Rhode Island | 44005 | 10 | 0 | 10 |
Oconee County, South Carolina | 45073 | 7 | 0 | 7 |
Richland County, South Carolina | 45079 | 0 | 9 | -9 |
Spartanburg County, South Carolina | 45083 | 8 | 0 | 8 |
Davidson County, Tennessee | 47037 | 21 | 0 | 21 |
Loudon County, Tennessee | 47105 | 7 | 0 | 7 |
Dallas County, Texas | 48113 | 20 | 0 | 20 |
Harris County, Texas | 48201 | 0 | 9 | -9 |
Hidalgo County, Texas | 48215 | 11 | 0 | 11 |
Lubbock County, Texas | 48303 | 0 | 48 | -48 |
Tarrant County, Texas | 48439 | 15 | 0 | 15 |
Travis County, Texas | 48453 | 11 | 0 | 11 |
Davis County, Utah | 49011 | 11 | 0 | 11 |
Salt Lake County, Utah | 49035 | 0 | 21 | -21 |
Lamoille County, Vermont | 50015 | 0 | 6 | -6 |
Northampton County, Virginia | 51131 | 3 | 0 | 3 |
Charlottesville city, Virginia | 51540 | 4 | 0 | 4 |
Clark County, Washington | 53011 | 9 | 5 | 4 |
King County, Washington | 53033 | 76 | 75 | 1 |
Kitsap County, Washington | 53035 | 9 | 0 | 9 |
Kittitas County, Washington | 53037 | 0 | 6 | -6 |
Klickitat County, Washington | 53039 | 0 | 20 | -20 |
Pierce County, Washington | 53053 | 0 | 10 | -10 |
San Juan County, Washington | 53055 | 19 | 0 | 19 |
Snohomish County, Washington | 53061 | 12 | 13 | -1 |
Walla Walla County, Washington | 53071 | 0 | 16 | -16 |
Sheboygan County, Wisconsin | 55117 | 18 | 0 | 18 |
Berlin town, Hartford County, Connecticut | 0900304300 | 0 | 33 | -33 |
Manchester town, Hartford County, Connecticut | 0900344700 | 0 | 7 | -7 |
Chesterville town, Franklin County, Maine | 2300712595 | 0 | 19 | -19 |
Everett city, Middlesex County, Massachusetts | 2501721990 | 49 | 0 | 49 |
Woodhull township, Shiawassee County, Michigan | 2615588400 | 5 | 0 | 5 |
Wexford township, Wexford County, Michigan | 2616586500 | 0 | 14 | -14 |
Minneapolis city, Hennepin County, Minnesota | 2705343000 | 43 | 0 | 43 |
Menahga city, Wadena County, Minnesota | 2715941660 | 24 | 0 | 24 |
Wadena city, Wadena County, Minnesota | 2715967504 | 23 | 0 | 23 |
North Hempstead town, Nassau County, New York | 3605953000 | 25 | 0 | 25 |
Duanesburg town, Schenectady County, New York | 3609321006 | 18 | 0 | 18 |
Bethel Park municipality, Allegheny County, Pennsylvania | 4200306064 | 0 | 137 | -137 |
Mount Oliver borough, Allegheny County, Pennsylvania | 4200351744 | 0 | 15 | -15 |
Lower Oxford township, Chester County, Pennsylvania | 4202945040 | 0 | 7 | -7 |
Barrett township, Monroe County, Pennsylvania | 4208904320 | 0 | 17 | -17 |
Lansdale borough, Montgomery County, Pennsylvania | 4209141432 | 0 | 10 | -10 |
Philadelphia city, Philadelphia County, Pennsylvania | 4210160000 | 0 | 9 | -9 |
Jamestown town, Newport County, Rhode Island | 4400536820 | 10 | 0 | 10 |
Johnson town, Lamoille County, Vermont | 5001537075 | 0 | 6 | -6 |
Kohler village, Sheboygan County, Wisconsin | 5511740275 | 18 | 0 | 18 |
GENERAL DEMOGRAPHIC CHARACTERISTICS (DP1) | ItemCode | ACS 2019 5-year | Percent | 2020 Estimate | 2020 Percent | 2025 Projection | 2025 Percent |
SEX AND AGE | |||||||
.Total population | D001 | 71,769 | |||||
..Male | D002 | 35,529 | 49.5 | ||||
..Female | D003 | 36,240 | 50.5 | ||||
..Sex ratio (males per 100 females) | D004 | 98.0 | |||||
..Under 5 years | D005 | 4,340 | 6.0 | ||||
..5 to 9 years | D006 | 4,698 | 6.5 | ||||
..10 to 14 years | D007 | 4,226 | 5.9 | ||||
..15 to 19 years | D008 | 3,920 | 5.5 | ||||
..20 to 24 years | D009 | 3,533 | 4.9 | ||||
..25 to 34 years | D010 | 8,776 | 12.2 | ||||
..35 to 44 years | D011 | 8,798 | 12.3 | ||||
..45 to 54 years | D012 | 9,217 | 12.8 | ||||
..55 to 59 years | D013 | 5,052 | 7.0 | ||||
..60 to 64 years | D014 | 5,350 | 7.5 | ||||
..65 to 74 years | D015 | 8,378 | 11.7 | ||||
..75 to 84 years | D016 | 3,859 | 5.4 | ||||
..85 years and over | D017 | 1,622 | 2.3 | ||||
..Median age (years) | D018 | 42.6 | |||||
..Under 18 years | D019 | 15,755 | 22.0 | ||||
..16 years and over | D020 | 57,623 | 80.3 | ||||
..18 years and over | D021 | 56,014 | 78.0 | ||||
..21 years and over | D022 | 53,799 | 75.0 | ||||
..62 years and over | D023 | 16,860 | 23.5 | ||||
..65 years and over | D024 | 13,859 | 19.3 | ||||
..18 years and over | D025 | 56,014 | |||||
...Male | D026 | 27,423 | 49.0 | ||||
...Female | D027 | 28,591 | 51.0 | ||||
...Sex ratio (males per 100 females) | D028 | 95.9 | |||||
..65 years and over | D029 | 13,859 | |||||
...Male | D030 | 6,372 | 46.0 | ||||
...Female | D031 | 7,487 | 54.0 | ||||
...Sex ratio (males per 100 females) | D032 | 85.1 | |||||
RACE | |||||||
.Total population | D033 | 71,769 | |||||
..One race | D034 | 54,649 | 76.1 | ||||
..Two or more races | D035 | 17,120 | 23.9 | ||||
..One race | D036 | 54,649 | 76.1 | ||||
...White | D037 | 23,229 | 32.4 | ||||
...Black or African American | D038 | 309 | 0.4 | ||||
...American Indian and Alaska Native | D039 | 408 | 0.6 | ||||
....Cherokee tribal grouping | D040 | 64 | 0.1 | ||||
....Chippewa tribal grouping | D041 | 0 | |||||
....Navajo tribal grouping | D042 | 30 | 0.0 | ||||
....Sioux tribal grouping | D043 | 12 | 0.0 | ||||
...Asian | D044 | 23,698 | 33.0 | ||||
....Asian Indian | D045 | 114 | 0.2 | ||||
....Chinese | D046 | 641 | 0.9 | ||||
....Filipino | D047 | 15,071 | 21.0 | ||||
....Japanese | D048 | 5,820 | 8.1 | ||||
....Korean | D049 | 173 | 0.2 | ||||
....Vietnamese | D050 | 31 | 0.0 | ||||
....Other Asian | D051 | 1,848 | 2.6 | ||||
...Native Hawaiian and Other Pacific Islander | D052 | 6,568 | 9.2 | ||||
....Native Hawaiian | D053 | 5,555 | 7.7 | ||||
....Guamanian or Chamorro | D054 | 26 | 0.0 | ||||
....Samoan | D055 | 87 | 0.1 | ||||
....Other Pacific Islander | D056 | 900 | 1.3 | ||||
...Some other race | D057 | 437 | 0.6 | ||||
..Two or more races | D058 | 17,120 | 23.9 | ||||
...White and Black or African American | D059 | 152 | 0.2 | ||||
...White and American Indian and Alaska Native | D060 | 459 | 0.6 | ||||
...White and Asian | D061 | 4,228 | 5.9 | ||||
...Black or African American and American Indian and Alaska Native | D062 | 33 | 0.0 | ||||
Race alone or in combination with one or more other races | |||||||
.Total population | D063 | 71,769 | |||||
..White | D064 | 36,200 | 50.4 | ||||
..Black or African American | D065 | 1,146 | 1.6 | ||||
..American Indian and Alaska Native | D066 | 1,677 | 2.3 | ||||
..Asian | D067 | 36,784 | 51.3 | ||||
..Native Hawaiian and Other Pacific Islander | D068 | 17,988 | 25.1 | ||||
..Some other race | D069 | 1,298 | 1.8 | ||||
HISPANIC OR LATINO AND RACE | |||||||
.Total population | D070 | 71,769 | |||||
..Hispanic or Latino (of any race) | D071 | 7,933 | 11.1 | ||||
...Mexican | D072 | 1,849 | 2.6 | ||||
...Puerto Rican | D073 | 2,124 | 3.0 | ||||
...Cuban | D074 | 128 | 0.2 | ||||
...Other Hispanic or Latino | D075 | 3,832 | 5.3 | ||||
..Not Hispanic or Latino | D076 | 63,836 | 88.9 | ||||
...White alone | D077 | 21,189 | 29.5 | ||||
...Black or African American alone | D078 | 290 | 0.4 | ||||
...American Indian and Alaska Native alone | D079 | 261 | 0.4 | ||||
...Asian alone | D080 | 22,298 | 31.1 | ||||
...Native Hawaiian and Other Pacific Islander alone | D081 | 5,767 | 8.0 | ||||
...Some other race alone | D082 | 100 | 0.1 | ||||
...Two or more races | D083 | 13,931 | 19.4 | ||||
....Two races including Some other race | D084 | 13 | 0.0 | ||||
....Two races excluding Some other race, and Three or more races | D085 | 13,918 | 19.4 | ||||
.Total housing units | D086 | 31,016 | |||||
CITIZEN, VOTING AGE POPULATION | |||||||
.Citizen, 18 and over population | D087 | 51,124 | |||||
..Male | D088 | 25,282 | 49.5 | ||||
..Female | D089 | 25,842 | 50.5 |
SOCIAL CHARACTERISTICS (DP2) | ItemCode | ACS 2019 5-year | Percent | 2020 Estimate | 2020 Percent | 2025 Projection | 2025 Percent |
HOUSEHOLDS BY TYPE | |||||||
.Total households | S001 | 22,658 | |||||
..Married-couple family | S002 | 11,922 | 52.6 | ||||
...With own children of the householder under 18 years | S003 | 3,806 | 16.8 | ||||
..Cohabiting couple household | S004 | 1,807 | 8.0 | ||||
...With own children of the householder under 18 years | S005 | 854 | 3.8 | ||||
..Male householder, no spouse/partner present | S006 | 3,825 | 16.9 | ||||
...With own children of the householder under 18 years | S007 | 299 | 1.3 | ||||
...Householder living alone | S008 | 2,376 | 10.5 | ||||
....65 years and over | S009 | 839 | 3.7 | ||||
..Female householder, no spouse/partner present | S010 | 5,104 | 22.5 | ||||
...With own children of the householder under 18 years | S011 | 556 | 2.5 | ||||
...Householder living alone | S012 | 2,817 | 12.4 | ||||
....65 years and over | S013 | 1,682 | 7.4 | ||||
..Households with one or more people under 18 years | S014 | 6,811 | 30.1 | ||||
..Households with one or more people 65 years and over | S015 | 9,106 | 40.2 | ||||
..Average household size | S016 | 3.1 | |||||
..Average family size | S017 | 3.7 | |||||
RELATIONSHIP | |||||||
.Population in households | S018 | 70,926 | |||||
..Householder | S019 | 22,658 | 31.9 | ||||
..Spouse | S020 | 11,894 | 16.8 | ||||
..Unmarried partner | S021 | 1,861 | 2.6 | ||||
..Child | S022 | 20,483 | 28.9 | ||||
..Other relatives | S023 | 9,910 | 14.0 | ||||
..Other nonrelatives | S024 | 4,120 | 5.8 | ||||
MARITAL STATUS | |||||||
.Males 15 years and over | S025 | 28,706 | |||||
..Never married | S026 | 10,206 | 35.6 | ||||
..Now married, except separated | S027 | 14,508 | 50.5 | ||||
..Separated | S028 | 236 | 0.8 | ||||
..Widowed | S029 | 1,094 | 3.8 | ||||
..Divorced | S030 | 2,662 | 9.3 | ||||
.Females 15 years and over | S031 | 29,799 | |||||
..Never married | S032 | 8,758 | 29.4 | ||||
..Now married, except separated | S033 | 14,356 | 48.2 | ||||
..Separated | S034 | 416 | 1.4 | ||||
..Widowed | S035 | 2,797 | 9.4 | ||||
..Divorced | S036 | 3,472 | 11.7 | ||||
FERTILITY | |||||||
.Number of women 15 to 50 years old who had a birth in the past 12 months | S037 | 847 | |||||
..Unmarried women (widowed, divorced, and never married) | S038 | 385 | 45.5 | ||||
...Per 1,000 unmarried women | S039 | 45 | |||||
..Per 1,000 women 15 to 50 years old | S040 | 56 | |||||
..Per 1,000 women 15 to 19 years old | S041 | 51 | |||||
..Per 1,000 women 20 to 34 years old | S042 | 82 | |||||
..Per 1,000 women 35 to 50 years old | S043 | 35 | |||||
GRANDPARENTS | |||||||
.Number of grandparents living with own grandchildren under 18 years | S044 | 2,745 | |||||
..Grandparents responsible for grandchildren | S045 | 344 | 12.5 | ||||
..Years responsible for grandchildren | |||||||
...Less than 1 year | S046 | 21 | 0.8 | ||||
...1 or 2 years | S047 | 42 | 1.5 | ||||
...3 or 4 years | S048 | 48 | 1.7 | ||||
...5 or more years | S049 | 233 | 8.5 | ||||
.Number of grandparents responsible for own grandchildren under 18 years | S050 | 344 | |||||
..Who are female | S051 | 195 | 56.7 | ||||
..Who are married | S052 | 215 | 62.5 | ||||
SCHOOL ENROLLMENT | |||||||
.Population 3 years and over enrolled in school | S053 | 14,008 | |||||
..Nursery school, preschool | S054 | 1,045 | 7.5 | ||||
..Kindergarten | S055 | 752 | 5.4 | ||||
..Elementary school (grades 1-8) | S056 | 6,880 | 49.1 | ||||
..High school (grades 9-12) | S057 | 2,974 | 21.2 | ||||
..College or graduate school | S058 | 2,357 | 16.8 | ||||
EDUCATIONAL ATTAINMENT | |||||||
.Population 25 years and over | S059 | 51,052 | |||||
..Less than 9th grade | S060 | 2,065 | 4.0 | ||||
..9th to 12th grade, no diploma | S061 | 1,777 | 3.5 | ||||
..High school graduate (includes equivalency) | S062 | 15,313 | 30.0 | ||||
..Some college, no degree | S063 | 10,064 | 19.7 | ||||
..Associate's degree | S064 | 6,924 | 13.6 | ||||
..Bachelor's degree | S065 | 10,242 | 20.1 | ||||
..Graduate or professional degree | S066 | 4,667 | 9.1 | ||||
..High school graduate or higher | S067 | 47,210 | 92.5 | ||||
..Bachelor's degree or higher | S068 | 14,909 | 29.2 | ||||
VETERAN STATUS | |||||||
.Civilian population 18 years and over | S069 | 55,874 | |||||
..Civilian veterans | S070 | 3,919 | 7.0 | ||||
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION | |||||||
.Total Civilian Noninstitutionalized Population | S071 | 71,049 | |||||
..With a disability | S072 | 6,899 | 9.7 | ||||
.Under 18 years | S073 | 15,755 | |||||
..With a disability | S074 | 228 | 1.4 | ||||
.18 to 64 years | S075 | 41,676 | |||||
..With a disability | S076 | 2,579 | 6.2 | ||||
.65 years and over | S077 | 13,618 | |||||
..With a disability | S078 | 4,092 | 30.0 | ||||
RESIDENCE 1 YEAR AGO | |||||||
.Population 1 year and over | S079 | 70,905 | |||||
..Same house | S080 | 62,947 | 88.8 | ||||
..Different house in the U.S. | S081 | 7,280 | 10.3 | ||||
...Same county | S082 | 4,737 | 6.7 | ||||
...Different county | S083 | 2,543 | 3.6 | ||||
....Same state | S084 | 684 | 1.0 | ||||
....Different state | S085 | 1,859 | 2.6 | ||||
..Abroad | S086 | 678 | 1.0 | ||||
PLACE OF BIRTH | |||||||
.Total population | S087 | 71,769 | |||||
..Native | S088 | 59,725 | 83.2 | ||||
...Born in United States | S089 | 58,275 | 81.2 | ||||
....State of residence | S090 | 38,813 | 54.1 | ||||
....Different state | S091 | 19,462 | 27.1 | ||||
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s) | S092 | 1,450 | 2.0 | ||||
..Foreign born | S093 | 12,044 | 16.8 | ||||
U.S. CITIZENSHIP STATUS | |||||||
.Foreign-born population | S094 | 12,044 | |||||
..Naturalized U.S. citizen | S095 | 6,558 | 54.5 | ||||
..Not a U.S. citizen | S096 | 5,486 | 45.5 | ||||
YEAR OF ENTRY | |||||||
.Population born outside the United States | S097 | 13,494 | |||||
..Native | S098 | 1,450 | |||||
...Entered 2010 or later | S099 | 418 | 28.8 | ||||
...Entered before 2010 | S100 | 1,032 | 71.2 | ||||
..Foreign born | S101 | 12,044 | |||||
...Entered 2010 or later | S102 | 2,909 | 24.2 | ||||
...Entered before 2010 | S103 | 9,135 | 75.8 | ||||
WORLD REGION OF BIRTH OF FOREIGN BORN | |||||||
.Foreign-born population, excluding population born at sea | S104 | 12,044 | |||||
..Europe | S105 | 531 | 4.4 | ||||
..Asia | S106 | 9,568 | 79.4 | ||||
..Africa | S107 | 107 | 0.9 | ||||
..Oceania | S108 | 979 | 8.1 | ||||
..Latin America | S109 | 520 | 4.3 | ||||
..Northern America | S110 | 339 | 2.8 | ||||
LANGUAGE SPOKEN AT HOME | |||||||
.Population 5 years and over | S111 | 67,429 | |||||
..English only | S112 | 53,774 | 79.7 | ||||
..Language other than English | S113 | 13,655 | 20.3 | ||||
...Speak English less than very well" " | S114 | 5,872 | 8.7 | ||||
..Spanish | S115 | 814 | 1.2 | ||||
...Speak English less than very well" " | S116 | 145 | 0.2 | ||||
..Other Indo-European languages | S117 | 576 | 0.9 | ||||
...Speak English less than very well" " | S118 | 107 | 0.2 | ||||
..Asian and Pacific Islander languages | S119 | 11,805 | 17.5 | ||||
...Speak English less than very well" " | S120 | 5,519 | 8.2 | ||||
..Other languages | S121 | 460 | 0.7 | ||||
...Speak English less than very well" " | S122 | 101 | 0.1 | ||||
ANCESTRY | |||||||
.Total population | S123 | 71,769 | |||||
..American | S124 | 999 | 1.4 | ||||
..Arab | S125 | 225 | 0.3 | ||||
..Czech | S126 | 206 | 0.3 | ||||
..Danish | S127 | 222 | 0.3 | ||||
..Dutch | S128 | 752 | 1.0 | ||||
..English | S129 | 3,673 | 5.1 | ||||
..French (except Basque) | S130 | 1,394 | 1.9 | ||||
..French Canadian | S131 | 120 | 0.2 | ||||
..German | S132 | 5,940 | 8.3 | ||||
..Greek | S133 | 158 | 0.2 | ||||
..Hungarian | S134 | 114 | 0.2 | ||||
..Irish | S135 | 3,968 | 5.5 | ||||
..Italian | S136 | 1,737 | 2.4 | ||||
..Lithuanian | S137 | 36 | 0.1 | ||||
..Norwegian | S138 | 708 | 1.0 | ||||
..Polish | S139 | 577 | 0.8 | ||||
..Portuguese | S140 | 3,903 | 5.4 | ||||
..Russian | S141 | 437 | 0.6 | ||||
..Scotch-Irish | S142 | 291 | 0.4 | ||||
..Scottish | S143 | 797 | 1.1 | ||||
..Slovak | S144 | 0 | |||||
..Subsaharan African | S145 | 119 | 0.2 | ||||
..Swedish | S146 | 407 | 0.6 | ||||
..Swiss | S147 | 99 | 0.1 | ||||
..Ukrainian | S148 | 78 | 0.1 | ||||
..Welsh | S149 | 226 | 0.3 | ||||
..West Indian (excluding Hispanic origin groups) | S150 | 84 | 0.1 | ||||
COMPUTERS AND INTERNET USE | |||||||
.Total households | S151 | 22,658 | |||||
..With a computer | S152 | 20,431 | 90.2 | ||||
..With a broadband Internet subscription | S153 | 19,170 | 84.6 |
ECONOMIC CHARACTERISTICS (DP3) | ItemCode | ACS 2019 5-year | Percent | 2020 Estimate | 2020 Percent | 2025 Projection | 2025 Percent |
EMPLOYMENT STATUS | |||||||
.Population 16 years and over | E001 | 57,623 | |||||
..In labor force | E002 | 38,043 | 66.0 | ||||
...Civilian labor force | E003 | 37,903 | 65.8 | ||||
....Employed | E004 | 36,460 | 63.3 | ||||
....Unemployed | E005 | 1,443 | 2.5 | ||||
...Armed Forces | E006 | 140 | 0.2 | ||||
..Not in labor force | E007 | 19,580 | 34.0 | ||||
.Civilian labor force | E008 | 37,903 | |||||
..Unemployment Rate | E009 | 3.8 | |||||
.Females 16 years and over | E010 | 29,378 | |||||
..In labor force | E011 | 18,830 | 64.1 | ||||
...Civilian labor force | E012 | 18,802 | 64.0 | ||||
....Employed | E013 | 18,160 | 61.8 | ||||
.Own children of the householder under 6 years | E014 | 5,175 | |||||
..All parents in family in labor force | E015 | 3,679 | 71.1 | ||||
.Own children of the householder 6 to 17 years | E016 | 9,607 | |||||
..All parents in family in labor force | E017 | 7,963 | 82.9 | ||||
COMMUTING TO WORK | |||||||
.Workers 16 years and over | E018 | 35,697 | |||||
..Car, truck, or van -- drove alone | E019 | 28,107 | 78.7 | ||||
..Car, truck, or van -- carpooled | E020 | 3,566 | 10.0 | ||||
..Public transportation (excluding taxicab) | E021 | 219 | 0.6 | ||||
..Walked | E022 | 670 | 1.9 | ||||
..Other means | E023 | 450 | 1.3 | ||||
..Worked from home | E024 | 2,685 | 7.5 | ||||
..Mean travel time to work (minutes) | E025 | 22.1 | |||||
OCCUPATION | |||||||
.Civilian employed population 16 years and over | E026 | 36,460 | |||||
..Management, business, science, and arts occupations | E027 | 10,119 | 27.8 | ||||
..Service occupations | E028 | 11,150 | 30.6 | ||||
..Sales and office occupations | E029 | 7,793 | 21.4 | ||||
..Natural resources, construction, and maintenance occupations | E030 | 3,816 | 10.5 | ||||
..Production, transportation, and material moving occupations | E031 | 3,582 | 9.8 | ||||
INDUSTRY | |||||||
.Civilian employed population 16 years and over | E032 | 36,460 | |||||
..Agriculture, forestry, fishing and hunting, and mining | E033 | 1,091 | 3.0 | ||||
..Construction | E034 | 2,967 | 8.1 | ||||
..Manufacturing | E035 | 826 | 2.3 | ||||
..Wholesale trade | E036 | 569 | 1.6 | ||||
..Retail trade | E037 | 3,952 | 10.8 | ||||
..Transportation and warehousing, and utilities | E038 | 2,118 | 5.8 | ||||
..Information | E039 | 287 | 0.8 | ||||
..Finance and insurance, and real estate and rental and leasing | E040 | 2,484 | 6.8 | ||||
..Professional, scientific, and management, and administrative and waste management services | E041 | 3,974 | 10.9 | ||||
..Educational services, and health care and social assistance | E042 | 5,566 | 15.3 | ||||
..Arts, entertainment, and recreation, and accommodation and food services | E043 | 8,786 | 24.1 | ||||
..Other services, except public administration | E044 | 1,874 | 5.1 | ||||
..Public administration | E045 | 1,966 | 5.4 | ||||
CLASS OF WORKER | |||||||
.Civilian employed population 16 years and over | E046 | 36,460 | |||||
..Private wage and salary workers | E047 | 27,250 | 74.7 | ||||
..Government workers | E048 | 5,130 | 14.1 | ||||
..Self-employed in own not incorporated business workers | E049 | 4,004 | 11.0 | ||||
..Unpaid family workers | E050 | 76 | 0.2 | ||||
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS) | |||||||
.Total households | E051 | 22,658 | |||||
..Less than $10,000 | E052 | 1,054 | 4.7 | ||||
..$10,000 to $14,999 | E053 | 743 | 3.3 | ||||
..$15,000 to $24,999 | E054 | 1,371 | 6.1 | ||||
..$25,000 to $34,999 | E055 | 1,568 | 6.9 | ||||
..$35,000 to $49,999 | E056 | 2,387 | 10.5 | ||||
..$50,000 to $74,999 | E057 | 3,357 | 14.8 | ||||
..$75,000 to $99,999 | E058 | 3,201 | 14.1 | ||||
..$100,000 to $149,999 | E059 | 5,302 | 23.4 | ||||
..$150,000 to $199,999 | E060 | 1,956 | 8.6 | ||||
..$200,000 or more | E061 | 1,719 | 7.6 | ||||
..Median household income (dollars) | E062 | 83,554 | |||||
..Mean household income (dollars) | E063 | 96,091 | |||||
..With earnings | E064 | 17,879 | 78.9 | ||||
...Mean earnings (dollars) | E065 | 91,558 | |||||
..With Social Security | E066 | 8,923 | 39.4 | ||||
...Mean Social Security income (dollars) | E067 | 20,338 | |||||
..With retirement income | E068 | 5,476 | 24.2 | ||||
...Mean retirement income (dollars) | E069 | 28,428 | |||||
..With Supplemental Security Income | E070 | 763 | 3.4 | ||||
...Mean Supplemental Security Income (dollars) | E071 | 10,586 | |||||
..With cash public assistance income | E072 | 440 | 1.9 | ||||
...Mean cash public assistance income (dollars) | E073 | 4,964 | |||||
..With Food Stamp/SNAP benefits in the past 12 months | E074 | 2,064 | 9.1 | ||||
.Families | E075 | 15,924 | |||||
..Less than $10,000 | E076 | 372 | 2.3 | ||||
..$10,000 to $14,999 | E077 | 245 | 1.5 | ||||
..$15,000 to $24,999 | E078 | 674 | 4.2 | ||||
..$25,000 to $34,999 | E079 | 943 | 5.9 | ||||
..$35,000 to $49,999 | E080 | 1,593 | 10.0 | ||||
..$50,000 to $74,999 | E081 | 2,215 | 13.9 | ||||
..$75,000 to $99,999 | E082 | 2,535 | 15.9 | ||||
..$100,000 to $149,999 | E083 | 4,284 | 26.9 | ||||
..$150,000 to $199,999 | E084 | 1,608 | 10.1 | ||||
..$200,000 or more | E085 | 1,455 | 9.1 | ||||
..Median family income (dollars) | E086 | 92,601 | |||||
..Mean family income (dollars) | E087 | 107,275 | |||||
.Per capita income (dollars) | E088 | 33,143 | |||||
.Nonfamily households | E089 | 6,734 | |||||
..Median nonfamily income (dollars) | E090 | 42,184 | |||||
..Mean nonfamily income (dollars) | E091 | 58,214 | |||||
.Median earnings for workers (dollars) | E092 | 37,432 | |||||
.Median earnings for male full-time, year-round workers (dollars) | E093 | 49,211 | |||||
.Median earnings for female full-time, year-round workers (dollars) | E094 | 40,259 | |||||
HEALTH INSURANCE COVERAGE | |||||||
.Civilian noninstitutionalized population | E095 | 71,049 | |||||
..With health insurance coverage | E096 | 67,493 | 95.0 | ||||
...With private health insurance | E097 | 51,011 | 71.8 | ||||
...With public coverage | E098 | 26,579 | 37.4 | ||||
..No health insurance coverage | E099 | 3,556 | 5.0 | ||||
.Civilian noninstitutionalized population under 19 years | E100 | 16,560 | |||||
..No health insurance coverage | E101 | 495 | 3.0 | ||||
.Civilian noninstitutionalized population 19 to 64 years | E102 | 40,871 | |||||
..In labor force: | E103 | 34,115 | |||||
...Employed: | E104 | 32,855 | |||||
....With health insurance coverage | E105 | 31,081 | 94.6 | ||||
.....With private health insurance | E106 | 28,167 | 85.7 | ||||
.....With public coverage | E107 | 3,722 | 11.3 | ||||
....No health insurance coverage | E108 | 1,774 | 5.4 | ||||
...Unemployed: | E109 | 1,260 | |||||
....With health insurance coverage | E110 | 936 | 74.3 | ||||
.....With private health insurance | E111 | 568 | 45.1 | ||||
.....With public coverage | E112 | 383 | 30.4 | ||||
....No health insurance coverage | E113 | 324 | 25.7 | ||||
..Not in labor force: | E114 | 6,756 | |||||
...With health insurance coverage | E115 | 5,864 | 86.8 | ||||
....With private health insurance | E116 | 3,337 | 49.4 | ||||
....With public coverage | E117 | 2,883 | 42.7 | ||||
...No health insurance coverage | E118 | 892 | 13.2 | ||||
PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL | |||||||
.All families | E119 | 5.9 | |||||
..With related children of the householder under 18 years | E120 | 8.5 | |||||
...With related children of the householder under 5 years only | E121 | 16.6 | |||||
..Married couple families | E122 | 3.1 | |||||
...With related children of the householder under 18 years | E123 | 2.9 | |||||
....With related children of the householder under 5 years only | E124 | 2.7 | |||||
..Families with female householder, no spouse present | E125 | 15.2 | |||||
...With related children of the householder under 18 years | E126 | 21.0 | |||||
....With related children of the householder under 5 years only | E127 | 33.6 | |||||
.All people | E128 | 8.1 | |||||
..Under 18 years | E129 | 9.0 | |||||
...Related children of the householder under 18 years | E130 | 8.7 | |||||
....Related children of the householder under 5 years | E131 | 13.6 | |||||
....Related children of the householder 5 to 17 years | E132 | 6.8 | |||||
..18 years and over | E133 | 7.9 | |||||
...18 to 64 years | E134 | 8.3 | |||||
...65 years and over | E135 | 6.4 | |||||
..People in families | E136 | 5.3 | |||||
..Unrelated individuals 15 years and over | E137 | 20.9 |
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 | 14 | 16 | 15 | 12 | 18 | 16 | 13 | 11 | 8 | 10 | 11 | 8 |
Single Family, Units | 14 | 16 | 15 | 12 | 18 | 16 | 13 | 11 | 8 | 10 | 11 | 8 |
Single Family, Value | 11,630 | 9,364 | 8,569 | 8,422 | 15,162 | 11,689 | 45,949 | 7,774 | 7,328 | 4,438 | 5,541 | 6,527 |
2 Unit, Buildings | 1 | 2 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2 Unit, Units | 2 | 4 | 2 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2 Unit, Value | 1,250 | 999 | 712 | 0 | 1,204 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3-4 Unit, Buildings | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3-4 Unit, Units | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3-4 Unit, Value | 0 | 0 | 752 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5+ Unit, Buildings | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5+ Unit, Units | 0 | 0 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5+ Unit, Value | 0 | 0 | 1,998 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
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 | 13 | 17 | 22 | 14 | 16 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
Single Family, Units | 13 | 17 | 22 | 14 | 16 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
Single Family, Value | 9,023 | 22,186 | 11,534 | 12,148 | 7,640 | 3,497 | 0 | 0 | 0 | 0 | 0 | 0 |
2 Unit, Buildings | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2 Unit, Units | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2 Unit, Value | 975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3-4 Unit, Buildings | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3-4 Unit, Units | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3-4 Unit, Value | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5+ Unit, Buildings | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5+ Unit, Units | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5+ Unit, Value | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
HOUSING CHARACTERISTICS (DP4) | ItemCode | ACS 2019 5-year | Percent | 2020 Estimate | 2020 Percent | 2025 Projection | 2025 Percent |
HOUSING OCCUPANCY | |||||||
.Total housing units | H001 | 31,016 | |||||
..Occupied housing units | H002 | 22,658 | 73.1 | ||||
..Vacant housing units | H003 | 8,358 | 26.9 | ||||
..Homeowner vacancy rate | H004 | 1.5 | |||||
..Rental vacancy rate | H005 | 13.5 | |||||
UNITS IN STRUCTURE | |||||||
.Total housing units | H006 | 31,016 | |||||
..1-unit, detached | H007 | 21,868 | 70.5 | ||||
..1-unit, attached | H008 | 1,495 | 4.8 | ||||
..2 units | H009 | 950 | 3.1 | ||||
..3 or 4 units | H010 | 1,440 | 4.6 | ||||
..5 to 9 units | H011 | 1,650 | 5.3 | ||||
..10 to 19 units | H012 | 1,599 | 5.2 | ||||
..20 or more units | H013 | 1,938 | 6.2 | ||||
..Mobile home | H014 | 76 | 0.2 | ||||
..Boat, RV, van, etc. | H015 | 0 | |||||
YEAR STRUCTURE BUILT | |||||||
.Total housing units | H016 | 31,016 | |||||
..Built 2014 or later | H017 | 356 | 1.1 | ||||
..Built 2010 to 2013 | H018 | 668 | 2.2 | ||||
..Built 2000 to 2009 | H019 | 4,252 | 13.7 | ||||
..Built 1990 to 1999 | H020 | 5,823 | 18.8 | ||||
..Built 1980 to 1989 | H021 | 7,156 | 23.1 | ||||
..Built 1970 to 1979 | H022 | 6,732 | 21.7 | ||||
..Built 1960 to 1969 | H023 | 1,848 | 6.0 | ||||
..Built 1950 to 1959 | H024 | 1,880 | 6.1 | ||||
..Built 1940 to 1949 | H025 | 1,178 | 3.8 | ||||
..Built 1939 or earlier | H026 | 1,123 | 3.6 | ||||
ROOMS | |||||||
.Total housing units | H027 | 31,016 | |||||
..1 room | H028 | 988 | 3.2 | ||||
..2 rooms | H029 | 1,680 | 5.4 | ||||
..3 rooms | H030 | 4,206 | 13.6 | ||||
..4 rooms | H031 | 6,644 | 21.4 | ||||
..5 rooms | H032 | 8,500 | 27.4 | ||||
..6 rooms | H033 | 4,316 | 13.9 | ||||
..7 rooms | H034 | 2,034 | 6.6 | ||||
..8 rooms | H035 | 1,407 | 4.5 | ||||
..9 rooms or more | H036 | 1,241 | 4.0 | ||||
..Median rooms | H037 | 4.7 | |||||
BEDROOMS | |||||||
.Total housing units | H038 | 31,016 | |||||
..No bedroom | H039 | 1,034 | 3.3 | ||||
..1 bedroom | H040 | 3,821 | 12.3 | ||||
..2 bedrooms | H041 | 7,710 | 24.9 | ||||
..3 bedrooms | H042 | 13,439 | 43.3 | ||||
..4 bedrooms | H043 | 3,821 | 12.3 | ||||
..5 or more bedrooms | H044 | 1,191 | 3.8 | ||||
HOUSING TENURE | |||||||
.Occupied housing units | H045 | 22,658 | |||||
..Owner-occupied | H046 | 14,320 | 63.2 | ||||
..Renter-occupied | H047 | 8,338 | 36.8 | ||||
..Average household size of owner-occupied unit | H048 | 3.1 | |||||
..Average household size of renter-occupied unit | H049 | 3.2 | |||||
YEAR HOUSEHOLDER MOVED INTO UNIT | |||||||
.Occupied housing units | H050 | 22,658 | |||||
..Moved in 2017 or later | H051 | 1,455 | 6.4 | ||||
..Moved in 2015 to 2016 | H052 | 2,732 | 12.1 | ||||
..Moved in 2010 to 2014 | H053 | 4,937 | 21.8 | ||||
..Moved in 2000 to 2009 | H054 | 5,258 | 23.2 | ||||
..Moved in 1990 to 1999 | H055 | 3,434 | 15.2 | ||||
..Moved in 1989 and earlier | H056 | 4,842 | 21.4 | ||||
VEHICLES AVAILABLE | |||||||
.Occupied housing units | H057 | 22,658 | |||||
..No vehicles available | H058 | 900 | 4.0 | ||||
..1 vehicle available | H059 | 6,098 | 26.9 | ||||
..2 vehicles available | H060 | 8,296 | 36.6 | ||||
..3 or more vehicles available | H061 | 7,364 | 32.5 | ||||
HOUSE HEATING FUEL | |||||||
.Occupied housing units | H062 | 22,658 | |||||
..Utility gas | H063 | 185 | 0.8 | ||||
..Bottled, tank, or LP gas | H064 | 688 | 3.0 | ||||
..Electricity | H065 | 3,399 | 15.0 | ||||
..Fuel oil, kerosene, etc. | H066 | 0 | |||||
..Coal or coke | H067 | 0 | |||||
..Wood | H068 | 21 | 0.1 | ||||
..Solar energy | H069 | 457 | 2.0 | ||||
..Other fuel | H070 | 32 | 0.1 | ||||
..No fuel used | H071 | 17,876 | 78.9 | ||||
SELECTED CHARACTERISTICS | |||||||
.Occupied housing units | H072 | 22,658 | |||||
..Lacking complete plumbing facilities | H073 | 67 | 0.3 | ||||
..Lacking complete kitchen facilities | H074 | 321 | 1.4 | ||||
..No telephone service available | H075 | 598 | 2.6 | ||||
OCCUPANTS PER ROOM | |||||||
.Occupied housing units | H076 | 22,658 | |||||
..1.00 or less | H077 | 20,788 | 91.7 | ||||
..1.01 to 1.50 | H078 | 1,332 | 5.9 | ||||
..1.51 or more | H079 | 538 | 2.4 | ||||
VALUE | |||||||
.Owner-occupied units | H080 | 14,320 | |||||
..Less than $50,000 | H081 | 73 | 0.5 | ||||
..$50,000 to $99,999 | H082 | 73 | 0.5 | ||||
..$100,000 to $149,999 | H083 | 63 | 0.4 | ||||
..$150,000 to $199,999 | H084 | 86 | 0.6 | ||||
..$200,000 to $299,999 | H085 | 605 | 4.2 | ||||
..$300,000 to $499,999 | H086 | 4,850 | 33.9 | ||||
..$500,000 to $999,999 | H087 | 6,992 | 48.8 | ||||
..$1,000,000 or more | H088 | 1,578 | 11.0 | ||||
..Median (dollars) | H089 | 570,700 | |||||
MORTGAGE STATUS | |||||||
.Owner-occupied units | H090 | 14,320 | |||||
..Housing units with a mortgage | H091 | 8,414 | 58.8 | ||||
..Housing units without a mortgage | H092 | 5,906 | 41.2 | ||||
SELECTED MONTHLY OWNER COSTS (SMOC) | |||||||
.Housing units with a mortgage | H093 | 8,414 | |||||
..Less than $500 | H094 | 89 | 1.1 | ||||
..$500 to $999 | H095 | 590 | 7.0 | ||||
..$1,000 to $1,499 | H096 | 1,001 | 11.9 | ||||
..$1,500 to $1,999 | H097 | 1,642 | 19.5 | ||||
..$2,000 to $2,499 | H098 | 1,655 | 19.7 | ||||
..$2,500 to $2,999 | H099 | 1,369 | 16.3 | ||||
..$3,000 or more | H100 | 2,068 | 24.6 | ||||
..Median (dollars) | H101 | 2,267 | |||||
.Housing units without a mortgage | H102 | 5,906 | |||||
..Less than $250 | H103 | 483 | 8.2 | ||||
..$250 to $399 | H104 | 1,492 | 25.3 | ||||
..$400 to $599 | H105 | 1,900 | 32.2 | ||||
..$600 to $799 | H106 | 913 | 15.5 | ||||
..$800 to $999 | H107 | 463 | 7.8 | ||||
..$1,000 or more | H108 | 655 | 11.1 | ||||
..Median (dollars) | H109 | 497 | |||||
SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI) | |||||||
.Housing units with a mortgage (excluding units where SMOCAPI cannot be computed) | H110 | 8,346 | |||||
..Less than 20.0 percent | H111 | 2,539 | 30.4 | ||||
..20.0 to 24.9 percent | H112 | 1,382 | 16.6 | ||||
..25.0 to 29.9 percent | H113 | 850 | 10.2 | ||||
..30.0 to 34.9 percent | H114 | 899 | 10.8 | ||||
..35.0 percent or more | H115 | 2,676 | 32.1 | ||||
..Not computed | H116 | 68 | |||||
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed) | H117 | 5,820 | |||||
..Less than 10.0 percent | H118 | 3,248 | 55.8 | ||||
..10.0 to 14.9 percent | H119 | 926 | 15.9 | ||||
..15.0 to 19.9 percent | H120 | 320 | 5.5 | ||||
..20.0 to 24.9 percent | H121 | 333 | 5.7 | ||||
..25.0 to 29.9 percent | H122 | 225 | 3.9 | ||||
..30.0 to 34.9 percent | H123 | 112 | 1.9 | ||||
..35.0 percent or more | H124 | 656 | 11.3 | ||||
..Not computed | H125 | 86 | |||||
GROSS RENT | |||||||
.Occupied units paying rent | H126 | 7,474 | |||||
..Less than $500 | H127 | 505 | 6.8 | ||||
..$500 to $999 | H128 | 1,404 | 18.8 | ||||
..$1,000 to $1,499 | H129 | 2,400 | 32.1 | ||||
..$1,500 to $1,999 | H130 | 1,705 | 22.8 | ||||
..$2,000 to $2,499 | H131 | 801 | 10.7 | ||||
..$2,500 to $2,999 | H132 | 462 | 6.2 | ||||
..$3,000 or more | H133 | 197 | 2.6 | ||||
..Median (dollars) | H134 | 1,375 | |||||
..No rent paid | H135 | 864 | |||||
GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI) | |||||||
.Occupied units paying rent (excluding units where GRAPI cannot be computed) | H136 | 7,342 | |||||
..Less than 15.0 percent | H137 | 1,456 | 19.8 | ||||
..15.0 to 19.9 percent | H138 | 982 | 13.4 | ||||
..20.0 to 24.9 percent | H139 | 687 | 9.4 | ||||
..25.0 to 29.9 percent | H140 | 851 | 11.6 | ||||
..30.0 to 34.9 percent | H141 | 721 | 9.8 | ||||
..35.0 percent or more | H142 | 2,645 | 36.0 | ||||
..Not computed | H143 | 996 |
Industry | NAICS | Owner | Estabs | Estabs% | Emp | Emp% | Wages | Wages% | AWW |
Total, all owners | 10 | 0 | 3,003 | 100.0 | 25,421 | 100.0 | 317,402,799 | 100.0 | 960 |
Total, Federal | 10 | 1 | 33 | 1.1 | 576 | 2.3 | 10,309,292 | 3.2 | 1,377 |
Total, State | 10 | 2 | 221 | 7.4 | 0 | 0.0 | 0 | 0.0 | 0 |
Total, Local | 10 | 3 | 18 | 0.6 | 0 | 0.0 | 0 | 0.0 | 0 |
Total, Private | 10 | 5 | 2,731 | 90.9 | 20,456 | 80.5 | 236,913,509 | 74.6 | 891 |
Agriculture, forestry, fishing and hunting | 11 | 5 | 44 | 1.5 | 0 | 0.0 | 0 | 0.0 | 0 |
Crop production | 111 | 5 | 24 | 0.8 | 0 | 0.0 | 0 | 0.0 | 0 |
Animal production | 112 | 5 | 15 | 0.5 | 132 | 0.5 | 1,224,271 | 0.4 | 715 |
Forestry and logging | 113 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Fishing, hunting and trapping | 114 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Agriculture and forestry support activities | 115 | 5 | 3 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
Mining | 21 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Mining, except oil and gas | 212 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Utilities | 22 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Utilities | 22 | 5 | 16 | 0.5 | 237 | 0.9 | 6,222,134 | 2.0 | 2,022 |
Utilities | 221 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Utilities | 221 | 5 | 16 | 0.5 | 237 | 0.9 | 6,222,134 | 2.0 | 2,022 |
Construction | 23 | 5 | 331 | 11.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Construction of buildings | 236 | 5 | 124 | 4.1 | 803 | 3.2 | 14,377,282 | 4.5 | 1,377 |
Heavy and civil engineering construction | 237 | 5 | 21 | 0.7 | 0 | 0.0 | 0 | 0.0 | 0 |
Specialty trade contractors | 238 | 5 | 186 | 6.2 | 0 | 0.0 | 0 | 0.0 | 0 |
Manufacturing | 31-33 | 5 | 77 | 2.6 | 0 | 0.0 | 0 | 0.0 | 0 |
Food manufacturing | 311 | 5 | 34 | 1.1 | 182 | 0.7 | 1,148,720 | 0.4 | 486 |
Beverage and tobacco product manufacturing | 312 | 5 | 4 | 0.1 | 37 | 0.1 | 392,034 | 0.1 | 822 |
Textile product mills | 314 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Apparel manufacturing | 315 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Leather and allied product manufacturing | 316 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Wood product manufacturing | 321 | 5 | 4 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
Printing and related support activities | 323 | 5 | 9 | 0.3 | 23 | 0.1 | 89,042 | 0.0 | 298 |
Petroleum and coal products manufacturing | 324 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Chemical manufacturing | 325 | 5 | 6 | 0.2 | 47 | 0.2 | 583,660 | 0.2 | 955 |
Nonmetallic mineral product manufacturing | 327 | 5 | 4 | 0.1 | 52 | 0.2 | 806,020 | 0.3 | 1,192 |
Fabricated metal product manufacturing | 332 | 5 | 2 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
Computer and electronic product manufacturing | 334 | 5 | 2 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
Furniture and related product manufacturing | 337 | 5 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Miscellaneous manufacturing | 339 | 5 | 7 | 0.2 | 10 | 0.0 | 71,353 | 0.0 | 549 |
Wholesale trade | 42 | 5 | 71 | 2.4 | 0 | 0.0 | 0 | 0.0 | 0 |
Merchant wholesalers, durable goods | 423 | 5 | 24 | 0.8 | 0 | 0.0 | 0 | 0.0 | 0 |
Merchant wholesalers, nondurable goods | 424 | 5 | 45 | 1.5 | 0 | 0.0 | 0 | 0.0 | 0 |
Electronic markets and agents and brokers | 425 | 5 | 2 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
Retail trade | 44-45 | 1 | 1 | 0.0 | 12 | 0.0 | 64,434 | 0.0 | 413 |
Retail trade | 44-45 | 5 | 350 | 11.7 | 3,334 | 13.1 | 29,207,619 | 9.2 | 674 |
Motor vehicle and parts dealers | 441 | 5 | 17 | 0.6 | 0 | 0.0 | 0 | 0.0 | 0 |
Furniture and home furnishings stores | 442 | 5 | 15 | 0.5 | 61 | 0.2 | 707,150 | 0.2 | 897 |
Electronics and appliance stores | 443 | 5 | 3 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
Building material and garden supply stores | 444 | 5 | 23 | 0.8 | 0 | 0.0 | 0 | 0.0 | 0 |
Food and beverage stores | 445 | 1 | 1 | 0.0 | 12 | 0.0 | 64,434 | 0.0 | 413 |
Food and beverage stores | 445 | 5 | 44 | 1.5 | 0 | 0.0 | 0 | 0.0 | 0 |
Health and personal care stores | 446 | 5 | 29 | 1.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Gasoline stations | 447 | 5 | 23 | 0.8 | 0 | 0.0 | 0 | 0.0 | 0 |
Clothing and clothing accessories stores | 448 | 5 | 91 | 3.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Sporting goods, hobby, book and music stores | 451 | 5 | 15 | 0.5 | 0 | 0.0 | 0 | 0.0 | 0 |
General merchandise stores | 452 | 5 | 6 | 0.2 | 0 | 0.0 | 0 | 0.0 | 0 |
Miscellaneous store retailers | 453 | 5 | 66 | 2.2 | 0 | 0.0 | 0 | 0.0 | 0 |
Nonstore retailers | 454 | 5 | 18 | 0.6 | 0 | 0.0 | 0 | 0.0 | 0 |
Transportation and warehousing | 48-49 | 1 | 15 | 0.5 | 99 | 0.4 | 1,709,917 | 0.5 | 1,333 |
Transportation and warehousing | 48-49 | 5 | 91 | 3.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Air transportation | 481 | 5 | 7 | 0.2 | 194 | 0.8 | 2,497,602 | 0.8 | 992 |
Water transportation | 483 | 5 | 2 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
Truck transportation | 484 | 5 | 13 | 0.4 | 88 | 0.3 | 1,036,751 | 0.3 | 906 |
Transit and ground passenger transportation | 485 | 5 | 8 | 0.3 | 111 | 0.4 | 424,860 | 0.1 | 294 |
Scenic and sightseeing transportation | 487 | 5 | 40 | 1.3 | 131 | 0.5 | 1,031,838 | 0.3 | 604 |
Support activities for transportation | 488 | 5 | 16 | 0.5 | 115 | 0.5 | 1,319,224 | 0.4 | 880 |
Postal service | 491 | 1 | 15 | 0.5 | 99 | 0.4 | 1,709,917 | 0.5 | 1,333 |
Couriers and messengers | 492 | 5 | 5 | 0.2 | 0 | 0.0 | 0 | 0.0 | 0 |
Information | 51 | 2 | 7 | 0.2 | 0 | 0.0 | 0 | 0.0 | 0 |
Information | 51 | 5 | 47 | 1.6 | 164 | 0.6 | 4,232,260 | 1.3 | 1,985 |
Publishing industries, except Internet | 511 | 5 | 15 | 0.5 | 31 | 0.1 | 1,550,547 | 0.5 | 3,807 |
Motion picture and sound recording industries | 512 | 5 | 6 | 0.2 | 0 | 0.0 | 0 | 0.0 | 0 |
Broadcasting, except Internet | 515 | 5 | 6 | 0.2 | 0 | 0.0 | 0 | 0.0 | 0 |
Telecommunications | 517 | 5 | 7 | 0.2 | 93 | 0.4 | 1,930,629 | 0.6 | 1,597 |
ISPs, search portals, and data processing | 518 | 5 | 9 | 0.3 | 0 | 0.0 | 0 | 0.0 | 0 |
Other information services | 519 | 2 | 7 | 0.2 | 0 | 0.0 | 0 | 0.0 | 0 |
Other information services | 519 | 5 | 4 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
Finance and insurance | 52 | 1 | 1 | 0.0 | 1 | 0.0 | 22,742 | 0.0 | 1,749 |
Finance and insurance | 52 | 5 | 86 | 2.9 | 442 | 1.7 | 8,749,825 | 2.8 | 1,522 |
Credit intermediation and related activities | 522 | 1 | 1 | 0.0 | 1 | 0.0 | 22,742 | 0.0 | 1,749 |
Credit intermediation and related activities | 522 | 5 | 43 | 1.4 | 322 | 1.3 | 6,426,123 | 2.0 | 1,535 |
Securities, commodity contracts, investments | 523 | 5 | 12 | 0.4 | 0 | 0.0 | 0 | 0.0 | 0 |
Insurance carriers and related activities | 524 | 5 | 29 | 1.0 | 93 | 0.4 | 1,667,894 | 0.5 | 1,385 |
Funds, trusts, and other financial vehicles | 525 | 5 | 2 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
Real estate and rental and leasing | 53 | 5 | 138 | 4.6 | 471 | 1.9 | 6,010,184 | 1.9 | 981 |
Real estate | 531 | 5 | 102 | 3.4 | 0 | 0.0 | 0 | 0.0 | 0 |
Rental and leasing services | 532 | 5 | 36 | 1.2 | 0 | 0.0 | 0 | 0.0 | 0 |
Professional and technical services | 54 | 1 | 2 | 0.1 | 21 | 0.1 | 524,912 | 0.2 | 1,893 |
Professional and technical services | 54 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Professional and technical services | 54 | 5 | 239 | 8.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Professional and technical services | 541 | 1 | 2 | 0.1 | 21 | 0.1 | 524,912 | 0.2 | 1,893 |
Professional and technical services | 541 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Professional and technical services | 541 | 5 | 239 | 8.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Management of companies and enterprises | 55 | 5 | 31 | 1.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Management of companies and enterprises | 551 | 5 | 31 | 1.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Administrative and waste services | 56 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Administrative and waste services | 56 | 5 | 210 | 7.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Administrative and support services | 561 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Administrative and support services | 561 | 5 | 201 | 6.7 | 0 | 0.0 | 0 | 0.0 | 0 |
Waste management and remediation services | 562 | 5 | 9 | 0.3 | 62 | 0.2 | 565,058 | 0.2 | 701 |
Educational services | 61 | 2 | 120 | 4.0 | 1,747 | 6.9 | 22,006,902 | 6.9 | 969 |
Educational services | 61 | 5 | 52 | 1.7 | 0 | 0.0 | 0 | 0.0 | 0 |
Educational services | 611 | 2 | 120 | 4.0 | 1,747 | 6.9 | 22,006,902 | 6.9 | 969 |
Educational services | 611 | 5 | 52 | 1.7 | 0 | 0.0 | 0 | 0.0 | 0 |
Health care and social assistance | 62 | 2 | 11 | 0.4 | 523 | 2.1 | 10,115,812 | 3.2 | 1,489 |
Health care and social assistance | 62 | 5 | 279 | 9.3 | 0 | 0.0 | 0 | 0.0 | 0 |
Ambulatory health care services | 621 | 2 | 2 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
Ambulatory health care services | 621 | 5 | 141 | 4.7 | 0 | 0.0 | 0 | 0.0 | 0 |
Hospitals | 622 | 2 | 5 | 0.2 | 0 | 0.0 | 0 | 0.0 | 0 |
Hospitals | 622 | 5 | 2 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
Nursing and residential care facilities | 623 | 2 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Nursing and residential care facilities | 623 | 5 | 7 | 0.2 | 0 | 0.0 | 0 | 0.0 | 0 |
Social assistance | 624 | 2 | 3 | 0.1 | 23 | 0.1 | 116,456 | 0.0 | 389 |
Social assistance | 624 | 5 | 129 | 4.3 | 0 | 0.0 | 0 | 0.0 | 0 |
Arts, entertainment, and recreation | 71 | 5 | 84 | 2.8 | 663 | 2.6 | 5,922,052 | 1.9 | 687 |
Performing arts and spectator sports | 711 | 5 | 21 | 0.7 | 15 | 0.1 | 192,833 | 0.1 | 967 |
Museums, historical sites, zoos, and parks | 712 | 5 | 10 | 0.3 | 139 | 0.5 | 1,333,985 | 0.4 | 740 |
Amusements, gambling, and recreation | 713 | 5 | 53 | 1.8 | 509 | 2.0 | 4,395,234 | 1.4 | 665 |
Accommodation and food services | 72 | 5 | 325 | 10.8 | 4,172 | 16.4 | 33,956,420 | 10.7 | 626 |
Accommodation | 721 | 5 | 75 | 2.5 | 1,679 | 6.6 | 20,951,798 | 6.6 | 960 |
Food services and drinking places | 722 | 5 | 250 | 8.3 | 2,493 | 9.8 | 13,004,622 | 4.1 | 401 |
Other services, except public administration | 81 | 5 | 259 | 8.6 | 933 | 3.7 | 9,283,660 | 2.9 | 765 |
Repair and maintenance | 811 | 5 | 50 | 1.7 | 0 | 0.0 | 0 | 0.0 | 0 |
Personal and laundry services | 812 | 5 | 52 | 1.7 | 154 | 0.6 | 1,075,205 | 0.3 | 538 |
Membership associations and organizations | 813 | 5 | 136 | 4.5 | 0 | 0.0 | 0 | 0.0 | 0 |
Private households | 814 | 5 | 21 | 0.7 | 76 | 0.3 | 1,613,567 | 0.5 | 1,640 |
Public administration | 92 | 1 | 14 | 0.5 | 443 | 1.7 | 7,987,287 | 2.5 | 1,387 |
Public administration | 92 | 2 | 81 | 2.7 | 748 | 2.9 | 12,322,471 | 3.9 | 1,267 |
Public administration | 92 | 3 | 17 | 0.6 | 0 | 0.0 | 0 | 0.0 | 0 |
Executive, legislative and general government | 921 | 2 | 14 | 0.5 | 51 | 0.2 | 824,528 | 0.3 | 1,252 |
Executive, legislative and general government | 921 | 3 | 4 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
Justice, public order, and safety activities | 922 | 1 | 1 | 0.0 | 1 | 0.0 | 10,421 | 0.0 | 1,202 |
Justice, public order, and safety activities | 922 | 2 | 19 | 0.6 | 237 | 0.9 | 4,296,736 | 1.4 | 1,397 |
Justice, public order, and safety activities | 922 | 3 | 5 | 0.2 | 487 | 1.9 | 11,703,044 | 3.7 | 1,849 |
Administration of human resource programs | 923 | 1 | 2 | 0.1 | 38 | 0.1 | 872,698 | 0.3 | 1,767 |
Administration of human resource programs | 923 | 2 | 20 | 0.7 | 209 | 0.8 | 3,459,333 | 1.1 | 1,273 |
Administration of human resource programs | 923 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Administration of environmental programs | 924 | 1 | 2 | 0.1 | 20 | 0.1 | 338,945 | 0.1 | 1,304 |
Administration of environmental programs | 924 | 2 | 10 | 0.3 | 84 | 0.3 | 1,213,493 | 0.4 | 1,116 |
Administration of environmental programs | 924 | 3 | 1 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
Community and housing program administration | 925 | 2 | 5 | 0.2 | 0 | 0.0 | 0 | 0.0 | 0 |
Community and housing program administration | 925 | 3 | 3 | 0.1 | 288 | 1.1 | 5,013,950 | 1.6 | 1,338 |
Administration of economic programs | 926 | 1 | 6 | 0.2 | 217 | 0.9 | 2,710,764 | 0.9 | 962 |
Administration of economic programs | 926 | 2 | 11 | 0.4 | 149 | 0.6 | 2,257,807 | 0.7 | 1,166 |
Administration of economic programs | 926 | 3 | 3 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
National security and international affairs | 928 | 1 | 3 | 0.1 | 168 | 0.7 | 4,054,459 | 1.3 | 1,860 |
National security and international affairs | 928 | 2 | 2 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 |
GEOID | TOTPOP | MALEPOP | FEMALEPOP | WHITE1 | BLACK1 | AIAN1 | ASIAN1 | NHOPI1 | OTHERRACE1 | TWOUPRACES | HISPANIC | POP65UP | POPHSHLDS | HOUSEHOLDS | FAMILIES | POP25UP | HSGRADM | HSGRADF | TOTHSGUNTS | OWNOCCUNTS | RNTOCCUNTS | VACUNITS | MEDHHINC | MEDFAMINC | MEDHSGVAL | MEDRENT |
15007040103 | 5,303 | 2,506 | 2,797 | 3,783 | 2 | 4 | 751 | 75 | 162 | 526 | 472 | 1,140 | 5,303 | 1,874 | 1,201 | 3,770 | 395 | 270 | 1,874 | 1,422 | 452 | 2,400 | 77,014 | 89,156 | 784,100 | 1,750 |
15007040104 | 770 | 391 | 379 | 343 | 0 | 64 | 92 | 25 | 0 | 246 | 5 | 221 | 770 | 317 | 215 | 554 | 103 | 59 | 317 | 137 | 180 | 578 | 39,153 | 37,548 | 1,096,600 | 1,336 |
15007040204 | 6,235 | 2,987 | 3,248 | 3,436 | 0 | 4 | 1,127 | 130 | 48 | 1,490 | 738 | 1,297 | 6,169 | 1,990 | 1,473 | 4,834 | 636 | 618 | 1,990 | 1,395 | 595 | 163 | 92,273 | 96,729 | 635,400 | 1,803 |
15007040205 | 4,182 | 2,163 | 2,019 | 1,791 | 19 | 39 | 916 | 408 | 74 | 935 | 617 | 940 | 4,182 | 1,535 | 985 | 3,120 | 443 | 450 | 1,535 | 900 | 635 | 699 | 70,417 | 87,750 | 581,400 | 1,482 |
15007040300 | 8,164 | 3,685 | 4,479 | 2,856 | 27 | 30 | 2,930 | 384 | 16 | 1,921 | 612 | 1,332 | 8,098 | 2,703 | 1,972 | 6,058 | 1,097 | 705 | 2,703 | 1,607 | 1,096 | 970 | 92,165 | 103,117 | 477,400 | 1,394 |
15007040400 | 10,871 | 5,848 | 5,023 | 1,781 | 49 | 83 | 5,359 | 896 | 33 | 2,670 | 914 | 1,965 | 10,432 | 2,714 | 2,057 | 7,687 | 1,695 | 1,073 | 2,714 | 1,824 | 890 | 404 | 85,826 | 96,635 | 495,100 | 1,329 |
15007040500 | 7,058 | 3,538 | 3,520 | 1,528 | 127 | 59 | 3,219 | 226 | 32 | 1,867 | 917 | 1,254 | 6,956 | 2,175 | 1,462 | 4,976 | 874 | 766 | 2,175 | 1,307 | 868 | 422 | 77,909 | 90,313 | 612,400 | 1,463 |
15007040603 | 2,984 | 1,383 | 1,601 | 1,101 | 15 | 10 | 807 | 215 | 0 | 836 | 421 | 756 | 2,968 | 1,058 | 683 | 2,104 | 301 | 354 | 1,058 | 590 | 468 | 1,006 | 72,500 | 90,536 | 693,400 | 1,276 |
15007040604 | 3,529 | 1,689 | 1,840 | 1,510 | 18 | 28 | 620 | 327 | 16 | 1,010 | 482 | 632 | 3,458 | 1,187 | 753 | 2,370 | 248 | 299 | 1,187 | 667 | 520 | 438 | 71,450 | 81,875 | 627,800 | 1,292 |
15007040700 | 9,552 | 4,794 | 4,758 | 2,719 | 4 | 43 | 3,618 | 917 | 19 | 2,232 | 1,270 | 1,834 | 9,528 | 2,895 | 2,201 | 6,234 | 789 | 709 | 2,895 | 1,871 | 1,024 | 403 | 86,614 | 100,938 | 607,500 | 1,354 |
15007040800 | 4,201 | 2,107 | 2,094 | 506 | 5 | 0 | 2,051 | 742 | 0 | 897 | 391 | 871 | 4,201 | 1,195 | 945 | 2,886 | 798 | 382 | 1,195 | 588 | 607 | 146 | 72,303 | 74,063 | 432,700 | 1,050 |
15007040900 | 5,424 | 2,699 | 2,725 | 987 | 35 | 37 | 1,899 | 1,132 | 33 | 1,301 | 745 | 1,052 | 5,365 | 1,842 | 1,235 | 4,034 | 760 | 454 | 1,842 | 1,093 | 749 | 450 | 86,127 | 99,315 | 408,600 | 1,172 |
15007041200 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -6 | -6 | -6 | -6 |
15007940000 | 3,496 | 1,739 | 1,757 | 888 | 8 | 7 | 309 | 1,091 | 4 | 1,189 | 349 | 565 | 3,496 | 1,173 | 742 | 2,425 | 470 | 565 | 1,173 | 919 | 254 | 279 | 69,135 | 92,708 | 529,800 | 1,330 |
15007990100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -6 | -6 | -6 | -6 |
15007990200 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -6 | -6 | -6 | -6 |
15007990300 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -6 | -6 | -6 | -6 |