CV XE GIS Home Page

  Situation & Outlook Report
  Hawaii County, HI  
  .. an information resource developed by ProximityOne .. more about these resources
  .. created 09/02/21

Data & DEDE Updates
.. new 2019 Mobility (section 1.3.) released 9/2/21.
.. new 2020Q1 Industry by Sector Characteristics data (section 3.1.) released 9/2/21.

Overview
.. examine the demographic-economic characteristics and trends enabling stakeholders to better understand the current situation and assess the outlook in a county or region of interest. Use this Situation & Outlook report, generated using the DEDE API tools and data, to gain insights and facilitate reduced risk and more successful outcomes. It advances the abilities of policy-makers, businesses and others to learn more about the how, where and when of change and how change might impact stakeholder interests and programs.

Assess the impact of climate change, migration, birth rates, workforce dynamics, infrastructure, economic sectoral shifts, health factors and housing patterns, to name a few, on communities and counties of interest. This report provides a structured set of multi-sourced data to address these topics. Different data update on different schedules; monthly, quarterly and annual. Several components may be custom structured to meet specific needs.

Topics
  01 Personal Income & Gross Domestic Product
  02 How & Why Demographics are Changing
  03 Census 2010, 2020 & Change 2010-2020
  1.1 Population & Components of Change
  1.2 City/Place Demographic-Economic Characteristics
  1.3 Migration/Mobility -- Movers from 1 Year Ago
  2.1 General Demographics -- detailed characteristics
  2.2 Social Characteristics
  2.3 Economic Characteristics
  2.4 Housing Characteristics
  2.5 New Authorized Residential Construction (monthly)
  3.1 Industry by Sector Characteristics (quarterly/annual)
  4.1 Census Tract Demographic-Economic Characteristics

Personal Income & Gross Domestic Product .. goto topics

In 2019, Hawaii had a personal income of $8,781,599*. This personal income ranked 2nd in the state and accounted for 10.9 percent of the state total. In 2009, the personal income of Hawaii was $5,675,130* and ranked 2nd in the state.


In 2019, Hawaii produced $9,491,699 in current-dollar total GDP*. This GDP ranked 3rd in the state and accounted for 9.9 percent of the state total. In 2009, the total GDP of Hawaii was $6,110,099 and ranked 3rd in the state.


In 2019, Hawaii real GDP grew 3.0 percent; the 2018-2019 state change was 0.3 percent. The 2009-2019 compound annual growth rate for Hawaii real GDP was 2.5 percent; the compound annual growth rate for the state was 1.8 percent.

*GDP estimates are in thousands of dollars.


Examine personal income components and compare Hawaii County, HI to other areas using this interactive table.

Examine GDP components and compare Hawaii County, HI to other areas using this interactive table.

How & Why Hawaii County, HI is Changing .. goto topics
Hawaii County, HI (15001), part of Hilo, HI MISA (25900), changed in population from 185,361 (2010) to 203,340 (2020), a change of 17,979 (9.7%).
Factors accounting the change over the decade 2010 to 2020 include:
  • Births 2010-2020: 23,327
  • Deaths 2010-2020: 17,191
  • Natural Increase 2010-2020: 6,136
  • Net Migration 2010-2020: 11,890

View a thematic map of this area, patterns of economic prosperity by census tract, using the Visual Data Analytics (VDA) Web GIS
  -- see below.

03. Census 2010, Census 2020 & Change 2010-2020 .. goto topics
Hawaii County, HI .. Census 2010, Census 2020 and Change 2010-2020
.. using Census 2020 P.L. 94-171 data (released 8/12/21)
.. use this Interactive Table to view/rank/compare counties 2010-2020.
.. use the VDA Web GIS to access/map these data to the census block level.
Subject Matter Item 2010 2010% 2020 2020% 2010-20 Change2010-20% Change
Total population 185,079 100.0 200,629 100.0 15,550 8.4
  One race 130,544 70.5 141,384 70.5 10,840 8.3
    White alone 62,348 33.7 67,365 33.6 5,017 8.0
    Black alone 1,020 0.6 1,251 0.6 231 22.6
    American India/Alaskan Native alone 869 0.5 1,027 0.5 158 18.2
    Asian alone 41,050 22.2 39,607 19.7 -1,443 -3.5
    Native Hawaiian and Other Pacific Islander alone 22,389 12.1 28,096 14.0 5,707 25.5
    Other race 2,868 1.5 4,038 2.0 1,170 40.8
  Two or more races 54,535 29.5 59,245 29.5 4,710 8.6
  White, Non-Hispanic 57,831 31.2 64,688 32.2 6,857 11.9
  Black Non-Hispanic 899 0.5 1,159 0.6 260 28.9
  Hispanic (of any race) 21,383 11.6 22,275 11.1 892 4.2
Total population, 18 years or older 142,799 77.2 158,711 79.1 15,912 11.1
  One race 109,813 59.3 119,401 59.5 9,588 8.7
    White alone 55,028 29.7 60,227 30.0 5,199 9.4
    Black alone 846 0.5 1,065 0.5 219 25.9
    American India/Alaskan Native alone 735 0.4 875 0.4 140 19.0
    Asian alone 35,452 19.2 34,710 17.3 -742 -2.1
    Native Hawaiian and Other Pacific Islander alone 15,592 8.4 19,359 9.6 3,767 24.2
    Other race 2,160 1.2 3,165 1.6 1,005 46.5
  Two or more races 32,986 17.8 39,310 19.6 6,324 19.2
  White, Non-Hispanic 51,590 27.9 58,127 29.0 6,537 12.7
  Black Non-Hispanic 758 0.4 998 0.5 240 31.7
  Hispanic (of any race) 12,999 7.0 14,371 7.2 1,372 10.6
Group Quarters population 3,644 2.0 2,728 1.4 -916 -25.1
  Group Quarters, institutionalized population 1,563 0.8 1,167 0.6 -396 -25.3
  Group Quarters, noninstitutionalized population 2,081 1.1 1,561 0.8 -520 -25.0
Housing Units 82,324 100.0 88,691 100.0 6,367 7.7
  Occupied 67,096 81.5 73,021 82.3 5,925 8.8
  Vacant 15,228 18.5 15,670 17.7 442 2.9


1.1 Population & Components of Change .. goto topics
Based on Census Bureau model-based population estimates, the Hawaii County, HI population changed from 185,361 in 2010 to 203,340 in 2020, a change of 17,979 (9.7%).
Population/Component 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Population 185,361 187,101 189,199 191,521 193,812 196,111 198,583 200,400 202,263 202,165 203,340
Births 588 2,456 2,470 2,388 2,469 2,374 2,385 2,290 2,288 2,129 2,078
Deaths 354 1,404 1,534 1,473 1,572 1,631 1,748 1,737 1,863 2,002 2,227
Natural Increase 234 1,052 936 915 897 743 637 553 425 127 -149
Net Migration 72 695 1,187 1,408 1,388 1,558 1,841 1,270 1,439 -221 1,325
    International 173 657 731 479 260 495 911 512 562 488 382
    Domestic 382 -101 38 456 929 1,128 1,063 930 758 877 -709
Group Quarters 3,657 3,662 3,619 3,732 3,715 3,791 3,787 3,916 3,824 3,931 3,929

Examine population estimates/components of change and compare Hawaii County, HI to other areas using this interactive table.

1.3 Migration/Mobility -- Movers from 1 Year Ago .. goto topics
Based on ACS 2019, there were 327 mover partner areas for Hawaii County, HI. There were a total inbound movers of 9601 and a total outbound movers of 8816, for a net movers of -276 (direct sums of columns shown below; nulls treated as zero). No county level data on the number of outbound movers to foreign locations are included in these mobility data. Detail file saved as c:\dede\movers_2019_15001.dbf.
Residence 1 Year Age Geocode Moved to 15001 Moved from 15001 Net Movers
Asia null 667 null null
Central America null 35 null null
Caribbean null 22 null null
Europe null 143 null null
U.S. Island Areas null 39 null null
Northern America null 92 null null
Oceania and At Sea null 63 null null
Calhoun County, Alabama 01015 21 0 21
Dale County, Alabama 01045 0 11 -11
Lamar County, Alabama 01075 0 5 -5
Anchorage Municipality, Alaska 02020 32 90 -58
Fairbanks North Star Borough, Alaska 02090 4 0 4
Juneau City and Borough, Alaska 02110 4 0 4
Matanuska-Susitna Borough, Alaska 02170 22 26 -4
Nome Census Area, Alaska 02180 30 8 22
Wrangell City and Borough, Alaska 02275 0 1 -1
Coconino County, Arizona 04005 14 72 -58
Maricopa County, Arizona 04013 151 78 73
Navajo County, Arizona 04017 39 0 39
Pima County, Arizona 04019 37 0 37
Pinal County, Arizona 04021 18 16 2
Pulaski County, Arkansas 05119 0 17 -17
Alameda County, California 06001 94 0 94
Contra Costa County, California 06013 73 0 73
El Dorado County, California 06017 12 0 12
Humboldt County, California 06023 0 29 -29
Imperial County, California 06025 29 0 29
Kern County, California 06029 0 18 -18
Lake County, California 06033 14 40 -26
Los Angeles County, California 06037 166 56 110
Marin County, California 06041 0 31 -31
Merced County, California 06047 0 25 -25
Napa County, California 06055 4 6 -2
Nevada County, California 06057 57 0 57
Orange County, California 06059 94 116 -22
Placer County, California 06061 0 38 -38
Riverside County, California 06065 70 82 -12
Sacramento County, California 06067 22 203 -181
San Bernardino County, California 06071 114 0 114
San Diego County, California 06073 138 346 -208
San Francisco County, California 06075 116 56 60
San Joaquin County, California 06077 31 0 31
San Mateo County, California 06081 175 28 147
Santa Barbara County, California 06083 101 67 34
Santa Clara County, California 06085 1 14 -13
Santa Cruz County, California 06087 17 3 14
Shasta County, California 06089 26 0 26
Sonoma County, California 06097 15 18 -3
Stanislaus County, California 06099 2 0 2
Ventura County, California 06111 0 9 -9
Yolo County, California 06113 15 0 15
Adams County, Colorado 08001 5 11 -6
Alamosa County, Colorado 08003 0 7 -7
Arapahoe County, Colorado 08005 20 13 7
Boulder County, Colorado 08013 83 56 27
Denver County, Colorado 08031 0 22 -22
Douglas County, Colorado 08035 0 43 -43
El Paso County, Colorado 08041 161 48 113
Fremont County, Colorado 08043 2 0 2
Jackson County, Colorado 08057 10 0 10
Jefferson County, Colorado 08059 63 0 63
Larimer County, Colorado 08069 81 0 81
Mesa County, Colorado 08077 0 16 -16
Pueblo County, Colorado 08101 0 6 -6
Hartford County, Connecticut 09003 1 0 1
Middlesex County, Connecticut 09007 0 6 -6
New Haven County, Connecticut 09009 0 6 -6
Alachua County, Florida 12001 1 0 1
Broward County, Florida 12011 17 0 17
Collier County, Florida 12021 10 0 10
Escambia County, Florida 12033 2 32 -30
Hernando County, Florida 12053 5 0 5
Miami-Dade County, Florida 12086 0 6 -6
Osceola County, Florida 12097 93 32 61
Palm Beach County, Florida 12099 119 15 104
Polk County, Florida 12105 0 9 -9
Santa Rosa County, Florida 12113 0 7 -7
Sarasota County, Florida 12115 29 51 -22
Seminole County, Florida 12117 0 19 -19
Candler County, Georgia 13043 0 34 -34
Clarke County, Georgia 13059 0 9 -9
Forsyth County, Georgia 13117 31 0 31
Fulton County, Georgia 13121 0 19 -19
Glynn County, Georgia 13127 0 6 -6
Lowndes County, Georgia 13185 0 35 -35
Honolulu County, Hawaii 15003 1531 1980 -449
Kauai County, Hawaii 15007 102 278 -176
Maui County, Hawaii 15009 171 336 -165
Ada County, Idaho 16001 62 27 35
Adams County, Idaho 16003 0 14 -14
Bear Lake County, Idaho 16007 77 0 77
Benewah County, Idaho 16009 0 9 -9
Bonner County, Idaho 16017 0 142 -142
Bonneville County, Idaho 16019 0 9 -9
Canyon County, Idaho 16027 0 26 -26
Cassia County, Idaho 16031 0 22 -22
Franklin County, Idaho 16041 0 6 -6
Jerome County, Idaho 16053 0 3 -3
Latah County, Idaho 16057 3 0 3
Lemhi County, Idaho 16059 21 0 21
Madison County, Idaho 16065 102 0 102
Cook County, Illinois 17031 77 24 53
Lake County, Illinois 17097 8 0 8
McHenry County, Illinois 17111 0 11 -11
Morgan County, Illinois 17137 19 0 19
Perry County, Illinois 17145 0 64 -64
Sangamon County, Illinois 17167 20 0 20
Winnebago County, Illinois 17201 0 42 -42
Hamilton County, Indiana 18057 9 0 9
Marion County, Indiana 18097 0 7 -7
Monroe County, Indiana 18105 12 0 12
Morgan County, Indiana 18109 0 72 -72
Owen County, Indiana 18119 0 9 -9
Randolph County, Indiana 18135 0 28 -28
Buena Vista County, Iowa 19021 0 5 -5
Des Moines County, Iowa 19057 0 9 -9
Fayette County, Iowa 19065 33 0 33
Polk County, Iowa 19153 0 44 -44
Story County, Iowa 19169 3 0 3
Warren County, Iowa 19181 0 15 -15
Webster County, Iowa 19187 22 0 22
Winneshiek County, Iowa 19191 26 0 26
Johnson County, Kansas 20091 0 13 -13
Jefferson County, Kentucky 21111 39 18 21
East Baton Rouge Parish, Louisiana 22033 52 12 40
Vernon Parish, Louisiana 22115 0 2 -2
Franklin County, Maine 23007 57 0 57
Prince George's County, Maryland 24033 6 0 6
Hampshire County, Massachusetts 25015 2 0 2
Middlesex County, Massachusetts 25017 14 0 14
Plymouth County, Massachusetts 25023 57 0 57
Worcester County, Massachusetts 25027 47 0 47
Kent County, Michigan 26081 0 23 -23
Midland County, Michigan 26111 4 0 4
Oakland County, Michigan 26125 0 20 -20
Washtenaw County, Michigan 26161 0 11 -11
Wayne County, Michigan 26163 0 10 -10
Dakota County, Minnesota 27037 0 9 -9
Fillmore County, Minnesota 27045 0 2 -2
Hennepin County, Minnesota 27053 0 11 -11
Isanti County, Minnesota 27059 0 24 -24
Pine County, Minnesota 27115 0 41 -41
Ramsey County, Minnesota 27123 10 8 2
St. Louis County, Minnesota 27137 3 0 3
Washington County, Minnesota 27163 3 0 3
Hinds County, Mississippi 28049 0 83 -83
Butler County, Missouri 29023 0 1 -1
Greene County, Missouri 29077 0 11 -11
Iron County, Missouri 29093 0 43 -43
Jackson County, Missouri 29095 0 39 -39
Laclede County, Missouri 29105 0 13 -13
Pulaski County, Missouri 29169 0 15 -15
St. Louis County, Missouri 29189 0 20 -20
Stone County, Missouri 29209 0 29 -29
Vernon County, Missouri 29217 0 5 -5
Missoula County, Montana 30063 10 0 10
Ravalli County, Montana 30081 10 0 10
Yellowstone County, Montana 30111 0 10 -10
Brown County, Nebraska 31017 0 43 -43
Burt County, Nebraska 31021 0 3 -3
Dodge County, Nebraska 31053 30 0 30
Lancaster County, Nebraska 31109 0 6 -6
Scotts Bluff County, Nebraska 31157 2 3 -1
Clark County, Nevada 32003 234 659 -425
Washoe County, Nevada 32031 0 27 -27
Carson City, Nevada 32510 0 34 -34
Grafton County, New Hampshire 33009 13 0 13
Merrimack County, New Hampshire 33013 0 12 -12
Bergen County, New Jersey 34003 32 0 32
Camden County, New Jersey 34007 9 0 9
Essex County, New Jersey 34013 0 35 -35
Hudson County, New Jersey 34017 0 9 -9
Middlesex County, New Jersey 34023 0 12 -12
Ocean County, New Jersey 34029 8 0 8
Curry County, New Mexico 35009 13 0 13
Doña Ana County, New Mexico 35013 0 11 -11
Otero County, New Mexico 35035 0 16 -16
Sandoval County, New Mexico 35043 0 33 -33
Santa Fe County, New Mexico 35049 0 59 -59
Dutchess County, New York 36027 0 12 -12
Kings County, New York 36047 12 37 -25
New York County, New York 36061 105 0 105
Suffolk County, New York 36103 0 32 -32
Buncombe County, North Carolina 37021 0 8 -8
Durham County, North Carolina 37063 0 18 -18
Mecklenburg County, North Carolina 37119 1 0 1
New Hanover County, North Carolina 37129 29 0 29
Wake County, North Carolina 37183 12 0 12
Towner County, North Dakota 38095 0 1 -1
Ward County, North Dakota 38101 0 24 -24
Franklin County, Ohio 39049 24 55 -31
Lucas County, Ohio 39095 18 0 18
Montgomery County, Ohio 39113 0 19 -19
Richland County, Ohio 39139 12 0 12
Ross County, Ohio 39141 0 15 -15
Comanche County, Oklahoma 40031 0 17 -17
Pottawatomie County, Oklahoma 40125 7 0 7
Tulsa County, Oklahoma 40143 1 0 1
Crook County, Oregon 41013 0 27 -27
Deschutes County, Oregon 41017 88 25 63
Douglas County, Oregon 41019 0 18 -18
Hood River County, Oregon 41027 0 14 -14
Jackson County, Oregon 41029 22 13 9
Lane County, Oregon 41039 52 75 -23
Linn County, Oregon 41043 0 14 -14
Marion County, Oregon 41047 0 45 -45
Multnomah County, Oregon 41051 23 61 -38
Union County, Oregon 41061 22 0 22
Wasco County, Oregon 41065 9 0 9
Washington County, Oregon 41067 130 15 115
Yamhill County, Oregon 41071 13 0 13
Berks County, Pennsylvania 42011 4 0 4
Crawford County, Pennsylvania 42039 0 4 -4
Monroe County, Pennsylvania 42089 6 0 6
Philadelphia County, Pennsylvania 42101 73 0 73
Kent County, Rhode Island 44003 2 0 2
Providence County, Rhode Island 44007 7 0 7
Washington County, Rhode Island 44009 4 0 4
Beaufort County, South Carolina 45013 0 26 -26
Berkeley County, South Carolina 45015 0 18 -18
Oconee County, South Carolina 45073 90 0 90
Clark County, South Dakota 46025 12 0 12
Minnehaha County, South Dakota 46099 0 30 -30
Hamilton County, Tennessee 47065 0 22 -22
Shelby County, Tennessee 47157 0 15 -15
Sullivan County, Tennessee 47163 216 0 216
Sumner County, Tennessee 47165 0 26 -26
Bastrop County, Texas 48021 111 56 55
Bell County, Texas 48027 0 24 -24
Bexar County, Texas 48029 0 83 -83
Cameron County, Texas 48061 17 0 17
Collin County, Texas 48085 7 0 7
Colorado County, Texas 48089 5 0 5
Dallas County, Texas 48113 0 18 -18
Ector County, Texas 48135 0 5 -5
El Paso County, Texas 48141 0 12 -12
Harris County, Texas 48201 50 7 43
Jack County, Texas 48237 14 0 14
Mills County, Texas 48333 0 19 -19
Sabine County, Texas 48403 0 48 -48
Tarrant County, Texas 48439 28 16 12
Travis County, Texas 48453 22 9 13
Upshur County, Texas 48459 45 0 45
Wichita County, Texas 48485 0 5 -5
Williamson County, Texas 48491 41 0 41
Box Elder County, Utah 49003 0 19 -19
Cache County, Utah 49005 0 12 -12
Davis County, Utah 49011 0 11 -11
Salt Lake County, Utah 49035 0 32 -32
Summit County, Utah 49043 0 17 -17
Utah County, Utah 49049 54 261 -207
Weber County, Utah 49057 89 0 89
Fairfax County, Virginia 51059 31 51 -20
Stafford County, Virginia 51179 0 55 -55
Harrisonburg city, Virginia 51660 0 29 -29
Suffolk city, Virginia 51800 17 0 17
Clark County, Washington 53011 3 0 3
Cowlitz County, Washington 53015 0 10 -10
Franklin County, Washington 53021 101 6 95
King County, Washington 53033 405 65 340
Kitsap County, Washington 53035 0 16 -16
Kittitas County, Washington 53037 278 0 278
Okanogan County, Washington 53047 0 8 -8
Pacific County, Washington 53049 0 1 -1
Pierce County, Washington 53053 61 12 49
San Juan County, Washington 53055 0 12 -12
Snohomish County, Washington 53061 37 0 37
Thurston County, Washington 53067 30 146 -116
Walla Walla County, Washington 53071 29 0 29
Whatcom County, Washington 53073 84 0 84
Whitman County, Washington 53075 0 25 -25
Marion County, West Virginia 54049 0 5 -5
Barron County, Wisconsin 55005 0 6 -6
Dunn County, Wisconsin 55033 21 0 21
St. Croix County, Wisconsin 55109 0 10 -10
Fremont County, Wyoming 56013 16 0 16
Caguas Municipio, Puerto Rico 72025 1 0 1
San Juan Municipio, Puerto Rico 72127 11 45 -34
Hartford town, Hartford County, Connecticut 0900337070 1 0 1
Middlefield town, Middlesex County, Connecticut 0900747080 0 6 -6
New Haven town, New Haven County, Connecticut 0900952070 0 6 -6
Wilton town, Franklin County, Maine 2300785850 57 0 57
Amherst town, Hampshire County, Massachusetts 2501501325 2 0 2
Everett city, Middlesex County, Massachusetts 2501721990 14 0 14
Brockton city, Plymouth County, Massachusetts 2502309000 57 0 57
Sterling town, Worcester County, Massachusetts 2502767385 47 0 47
Walker city, Kent County, Michigan 2608182960 0 23 -23
Midland city, Midland County, Michigan 2611153780 4 0 4
Rochester Hills city, Oakland County, Michigan 2612569035 0 6 -6
Troy city, Oakland County, Michigan 2612580700 0 5 -5
West Bloomfield charter township, Oakland County, Michigan 2612585480 0 9 -9
Ann Arbor city, Washtenaw County, Michigan 2616103000 0 11 -11
Trenton city, Wayne County, Michigan 2616380420 0 10 -10
Vermillion township, Dakota County, Minnesota 2703766820 0 9 -9
Harmony township, Fillmore County, Minnesota 2704527206 0 2 -2
Long Lake city, Hennepin County, Minnesota 2705338006 0 4 -4
Tonka Bay city, Hennepin County, Minnesota 2705365164 0 7 -7
Isanti city, Isanti County, Minnesota 2705931328 0 24 -24
Pine City city, Pine County, Minnesota 2711551064 0 41 -41
Maplewood city, Ramsey County, Minnesota 2712340382 10 0 10
St. Paul city, Ramsey County, Minnesota 2712358000 0 8 -8
Duluth city, St. Louis County, Minnesota 2713717000 3 0 3
Woodbury city, Washington County, Minnesota 2716371428 3 0 3
Enfield town, Grafton County, New Hampshire 3300924340 13 0 13
Hopkinton town, Merrimack County, New Hampshire 3301337540 0 12 -12
North Arlington borough, Bergen County, New Jersey 3400352320 32 0 32
Haddonfield borough, Camden County, New Jersey 3400728770 9 0 9
Newark city, Essex County, New Jersey 3401351000 0 35 -35
Jersey City city, Hudson County, New Jersey 3401736000 0 9 -9
North Brunswick township, Middlesex County, New Jersey 3402352560 0 12 -12
Toms River township, Ocean County, New Jersey 3402973125 8 0 8
Poughkeepsie town, Dutchess County, New York 3602759652 0 12 -12
Brooklyn borough, Kings County, New York 3604710022 12 37 -25
Manhattan borough, New York County, New York 3606144919 105 0 105
Brookhaven town, Suffolk County, New York 3610310000 0 19 -19
Islip town, Suffolk County, New York 3610338000 0 13 -13
Reading city, Berks County, Pennsylvania 4201163624 4 0 4
Meadville city, Crawford County, Pennsylvania 4203948360 0 4 -4
Smithfield township, Monroe County, Pennsylvania 4208971344 6 0 6
Philadelphia city, Philadelphia County, Pennsylvania 4210160000 73 0 73
Warwick city, Kent County, Rhode Island 4400374300 2 0 2
Pawtucket city, Providence County, Rhode Island 4400754640 7 0 7
South Kingstown town, Washington County, Rhode Island 4400967460 4 0 4
Almena town, Barron County, Wisconsin 5500501350 0 6 -6
Dunn town, Dunn County, Wisconsin 5503321150 21 0 21
Warren town, St. Croix County, Wisconsin 5510983400 0 10 -10

Examine county-to-county migration and compare counties using the interactive table.

2. General, Social, Economic, Housing Characteristics

2.1. General Demographics - Detailed Characteristics .. goto topics
.. 2020 and 2025 values available in premium edition.
GENERAL DEMOGRAPHIC CHARACTERISTICS (DP1) ItemCode ACS 2019
5-year
 Percent 2020
Estimate		 2020
Percent		 2025
Projection		 2025
Percent
SEX AND AGE        
.Total population D001 199,459    
..Male D002 99,002 49.6    
..Female D003 100,457 50.4    
..Sex ratio (males per 100 females) D004 98.6    
       
..Under 5 years D005 11,899 6.0    
..5 to 9 years D006 12,354 6.2    
..10 to 14 years D007 12,092 6.1    
..15 to 19 years D008 11,014 5.5    
..20 to 24 years D009 10,423 5.2    
..25 to 34 years D010 23,840 12.0    
..35 to 44 years D011 23,380 11.7    
..45 to 54 years D012 23,501 11.8    
..55 to 59 years D013 13,783 6.9    
..60 to 64 years D014 16,901 8.5    
..65 to 74 years D015 25,465 12.8    
..75 to 84 years D016 10,237 5.1    
..85 years and over D017 4,570 2.3    
       
..Median age (years) D018 42.7    
       
..Under 18 years D019 43,241 21.7    
..16 years and over D020 161,098 80.8    
..18 years and over D021 156,218 78.3    
..21 years and over D022 150,308 75.4    
..62 years and over D023 50,225 25.2    
..65 years and over D024 40,272 20.2    
       
..18 years and over D025 156,218    
...Male D026 76,813 49.2    
...Female D027 79,405 50.8    
...Sex ratio (males per 100 females) D028 96.7    
       
..65 years and over D029 40,272    
...Male D030 19,563 48.6    
...Female D031 20,709 51.4    
...Sex ratio (males per 100 females) D032 94.5    
       
RACE        
.Total population D033 199,459    
..One race D034 141,844 71.1    
..Two or more races D035 57,615 28.9    
       
..One race D036 141,844 71.1    
...White D037 66,493 33.3    
...Black or African American D038 1,266 0.6    
...American Indian and Alaska Native D039 977 0.5    
....Cherokee tribal grouping D040 131 0.1    
....Chippewa tribal grouping D041 5 0.0    
....Navajo tribal grouping D042 19 0.0    
....Sioux tribal grouping D043 17 0.0    
...Asian D044 44,971 22.5    
....Asian Indian D045 354 0.2    
....Chinese D046 2,438 1.2    
....Filipino D047 19,506 9.8    
....Japanese D048 16,735 8.4    
....Korean D049 990 0.5    
....Vietnamese D050 295 0.1    
....Other Asian D051 4,653 2.3    
...Native Hawaiian and Other Pacific Islander D052 24,338 12.2    
....Native Hawaiian D053 18,375 9.2    
....Guamanian or Chamorro D054 82 0.0    
....Samoan D055 565 0.3    
....Other Pacific Islander D056 5,316 2.7    
...Some other race D057 3,799 1.9    
..Two or more races D058 57,615 28.9    
...White and Black or African American D059 888 0.4    
...White and American Indian and Alaska Native D060 2,370 1.2    
...White and Asian D061 9,683 4.9    
...Black or African American and American Indian and Alaska Native D062 101 0.1    
       
Race alone or in combination with one or more other races        
.Total population D063 199,459    
..White D064 111,225 55.8    
..Black or African American D065 3,834 1.9    
..American Indian and Alaska Native D066 7,818 3.9    
..Asian D067 86,435 43.3    
..Native Hawaiian and Other Pacific Islander D068 66,434 33.3    
..Some other race D069 5,699 2.9    
       
HISPANIC OR LATINO AND RACE        
.Total population D070 199,459    
..Hispanic or Latino (of any race) D071 25,386 12.7    
...Mexican D072 8,491 4.3    
...Puerto Rican D073 9,108 4.6    
...Cuban D074 601 0.3    
...Other Hispanic or Latino D075 7,186 3.6    
..Not Hispanic or Latino D076 174,073 87.3    
...White alone D077 60,447 30.3    
...Black or African American alone D078 1,159 0.6    
...American Indian and Alaska Native alone D079 358 0.2    
...Asian alone D080 43,561 21.8    
...Native Hawaiian and Other Pacific Islander alone D081 22,092 11.1    
...Some other race alone D082 282 0.1    
...Two or more races D083 46,174 23.1    
....Two races including Some other race D084 165 0.1    
....Two races excluding Some other race, and Three or more races D085 46,009 23.1    
       
.Total housing units D086 87,824    
       
CITIZEN, VOTING AGE POPULATION        
.Citizen, 18 and over population D087 144,532    
..Male D088 71,686 49.6    
..Female D089 72,846 50.4    


2.2. Social Characteristics .. goto topics
.. 2020 and 2025 values available in premium edition.
SOCIAL CHARACTERISTICS (DP2) ItemCode ACS 2019
5-year
 Percent 2020
Estimate		 2020
Percent		 2025
Projection		 2025
Percent
HOUSEHOLDS BY TYPE        
.Total households S001 69,453    
..Married-couple family S002 33,226 47.8    
...With own children of the householder under 18 years S003 9,909 14.3    
..Cohabiting couple household S004 5,780 8.3    
...With own children of the householder under 18 years S005 2,301 3.3    
..Male householder, no spouse/partner present S006 12,957 18.7    
...With own children of the householder under 18 years S007 728 1.0    
...Householder living alone S008 9,257 13.3    
....65 years and over S009 3,968 5.7    
..Female householder, no spouse/partner present S010 17,490 25.2    
...With own children of the householder under 18 years S011 2,731 3.9    
...Householder living alone S012 9,272 13.4    
....65 years and over S013 4,927 7.1    
       
..Households with one or more people under 18 years S014 19,372 27.9    
..Households with one or more people 65 years and over S015 27,975 40.3    
       
..Average household size S016 2.8    
..Average family size S017 3.4    
       
RELATIONSHIP        
.Population in households S018 196,122    
..Householder S019 69,453 35.4    
..Spouse S020 33,294 17.0    
..Unmarried partner S021 5,744 2.9    
..Child S022 53,351 27.2    
..Other relatives S023 24,927 12.7    
..Other nonrelatives S024 9,353 4.8    
       
MARITAL STATUS        
.Males 15 years and over S025 80,351    
..Never married S026 29,220 36.4    
..Now married, except separated S027 39,309 48.9    
..Separated S028 1,393 1.7    
..Widowed S029 2,444 3.0    
..Divorced S030 7,985 9.9    
       
.Females 15 years and over S031 82,763    
..Never married S032 23,975 29.0    
..Now married, except separated S033 39,575 47.8    
..Separated S034 1,396 1.7    
..Widowed S035 7,986 9.6    
..Divorced S036 9,831 11.9    
       
FERTILITY        
.Number of women 15 to 50 years old who had a birth in the past 12 months S037 2,214    
..Unmarried women (widowed, divorced, and never married) S038 1,197 54.1    
...Per 1,000 unmarried women S039 50    
..Per 1,000 women 15 to 50 years old S040 53    
..Per 1,000 women 15 to 19 years old S041 13    
..Per 1,000 women 20 to 34 years old S042 90    
..Per 1,000 women 35 to 50 years old S043 31    
       
GRANDPARENTS        
.Number of grandparents living with own grandchildren under 18 years S044 6,816    
..Grandparents responsible for grandchildren S045 2,407 35.3    
..Years responsible for grandchildren
...Less than 1 year S046 394 5.8    
...1 or 2 years S047 626 9.2    
...3 or 4 years S048 347 5.1    
...5 or more years S049 1,040 15.3    
       
.Number of grandparents responsible for own grandchildren under 18 years S050 2,407    
..Who are female S051 1,456 60.5    
..Who are married S052 1,785 74.2    
       
SCHOOL ENROLLMENT        
.Population 3 years and over enrolled in school S053 42,786    
..Nursery school, preschool S054 2,875 6.7    
..Kindergarten S055 2,158 5.0    
..Elementary school (grades 1-8) S056 18,988 44.4    
..High school (grades 9-12) S057 9,301 21.7    
..College or graduate school S058 9,464 22.1    
       
EDUCATIONAL ATTAINMENT        
.Population 25 years and over S059 141,677    
..Less than 9th grade S060 3,766 2.7    
..9th to 12th grade, no diploma S061 7,120 5.0    
..High school graduate (includes equivalency) S062 42,737 30.2    
..Some college, no degree S063 31,769 22.4    
..Associate's degree S064 14,629 10.3    
..Bachelor's degree S065 28,023 19.8    
..Graduate or professional degree S066 13,633 9.6    
       
..High school graduate or higher S067 130,791 92.3    
..Bachelor's degree or higher S068 41,656 29.4    
       
VETERAN STATUS        
.Civilian population 18 years and over S069 155,977    
..Civilian veterans S070 14,882 9.5    
       
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION        
.Total Civilian Noninstitutionalized Population S071 197,924    
..With a disability S072 28,892 14.6    
       
.Under 18 years S073 43,230    
..With a disability S074 1,755 4.1    
       
.18 to 64 years S075 114,798    
..With a disability S076 12,269 10.7    
       
.65 years and over S077 39,896    
..With a disability S078 14,868 37.3    
       
RESIDENCE 1 YEAR AGO        
.Population 1 year and over S079 197,216    
..Same house S080 173,332 87.9    
..Different house in the U.S. S081 22,811 11.6    
...Same county S082 14,777 7.5    
...Different county S083 8,034 4.1    
....Same state S084 1,804 0.9    
....Different state S085 6,230 3.2    
..Abroad S086 1,073 0.5    
       
PLACE OF BIRTH        
.Total population S087 199,459    
..Native S088 174,173 87.3    
...Born in United States S089 170,391 85.4    
....State of residence S090 110,454 55.4    
....Different state S091 59,937 30.0    
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s) S092 3,782 1.9    
..Foreign born S093 25,286 12.7    
       
U.S. CITIZENSHIP STATUS        
.Foreign-born population S094 25,286    
..Naturalized U.S. citizen S095 12,272 48.5    
..Not a U.S. citizen S096 13,014 51.5    
       
YEAR OF ENTRY        
.Population born outside the United States S097 29,068    
       
..Native S098 3,782    
...Entered 2010 or later S099 1,213 32.1    
...Entered before 2010 S100 2,569 67.9    
       
..Foreign born S101 25,286    
...Entered 2010 or later S102 5,668 22.4    
...Entered before 2010 S103 19,618 77.6    
       
WORLD REGION OF BIRTH OF FOREIGN BORN        
.Foreign-born population, excluding population born at sea S104 25,286    
..Europe S105 2,364 9.3    
..Asia S106 15,992 63.2    
..Africa S107 200 0.8    
..Oceania S108 3,285 13.0    
..Latin America S109 2,328 9.2    
..Northern America S110 1,117 4.4    
       
LANGUAGE SPOKEN AT HOME        
.Population 5 years and over S111 187,560    
..English only S112 139,646 74.5    
..Language other than English S113 47,914 25.5    
...Speak English less than very well" " S114 14,368 7.7    
..Spanish S115 5,741 3.1    
...Speak English less than very well" " S116 1,867 1.0    
..Other Indo-European languages S117 2,942 1.6    
...Speak English less than very well" " S118 644 0.3    
..Asian and Pacific Islander languages S119 32,983 17.6    
...Speak English less than very well" " S120 10,580 5.6    
..Other languages S121 6,248 3.3    
...Speak English less than very well" " S122 1,277 0.7    
       
ANCESTRY        
.Total population S123 199,459    
..American S124 2,681 1.3    
..Arab S125 513 0.3    
..Czech S126 401 0.2    
..Danish S127 822 0.4    
..Dutch S128 1,508 0.8    
..English S129 10,510 5.3    
..French (except Basque) S130 4,037 2.0    
..French Canadian S131 807 0.4    
..German S132 14,827 7.4    
..Greek S133 485 0.2    
..Hungarian S134 554 0.3    
..Irish S135 11,390 5.7    
..Italian S136 5,001 2.5    
..Lithuanian S137 136 0.1    
..Norwegian S138 2,663 1.3    
..Polish S139 1,940 1.0    
..Portuguese S140 11,788 5.9    
..Russian S141 1,555 0.8    
..Scotch-Irish S142 1,425 0.7    
..Scottish S143 2,940 1.5    
..Slovak S144 146 0.1    
..Subsaharan African S145 496 0.2    
..Swedish S146 2,141 1.1    
..Swiss S147 439 0.2    
..Ukrainian S148 463 0.2    
..Welsh S149 798 0.4    
..West Indian (excluding Hispanic origin groups) S150 144 0.1    
       
COMPUTERS AND INTERNET USE        
.Total households S151 69,453    
..With a computer S152 60,767 87.5    
..With a broadband Internet subscription S153 53,808 77.5    


2.3. Economic Characteristics .. goto topics
.. 2020 and 2025 values available in premium edition.
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 161,098    
..In labor force E002 94,121 58.4    
...Civilian labor force E003 93,880 58.3    
....Employed E004 88,098 54.7    
....Unemployed E005 5,782 3.6    
...Armed Forces E006 241 0.1    
..Not in labor force E007 66,977 41.6    
       
.Civilian labor force E008 93,880    
..Unemployment Rate E009 6.2    
       
.Females 16 years and over E010 81,577    
..In labor force E011 45,859 56.2    
...Civilian labor force E012 45,785 56.1    
....Employed E013 43,061 52.8    
       
.Own children of the householder under 6 years E014 13,564    
..All parents in family in labor force E015 8,410 62.0    
       
.Own children of the householder 6 to 17 years E016 26,772    
..All parents in family in labor force E017 19,917 74.4    
       
COMMUTING TO WORK        
.Workers 16 years and over E018 86,037    
..Car, truck, or van -- drove alone E019 62,245 72.3    
..Car, truck, or van -- carpooled E020 13,239 15.4    
..Public transportation (excluding taxicab) E021 1,112 1.3    
..Walked E022 1,925 2.2    
..Other means E023 1,230 1.4    
..Worked from home E024 6,286 7.3    
       
..Mean travel time to work (minutes) E025 26.1    
       
OCCUPATION        
.Civilian employed population 16 years and over E026 88,098    
..Management, business, science, and arts occupations E027 28,518 32.4    
..Service occupations E028 21,744 24.7    
..Sales and office occupations E029 19,281 21.9    
..Natural resources, construction, and maintenance occupations E030 10,358 11.8    
..Production, transportation, and material moving occupations E031 8,197 9.3    
       
INDUSTRY        
.Civilian employed population 16 years and over E032 88,098    
..Agriculture, forestry, fishing and hunting, and mining E033 3,963 4.5    
..Construction E034 6,862 7.8    
..Manufacturing E035 1,970 2.2    
..Wholesale trade E036 1,852 2.1    
..Retail trade E037 10,751 12.2    
..Transportation and warehousing, and utilities E038 4,122 4.7    
..Information E039 1,215 1.4    
..Finance and insurance, and real estate and rental and leasing E040 4,755 5.4    
..Professional, scientific, and management, and administrative and waste management services E041 9,804 11.1    
..Educational services, and health care and social assistance E042 17,586 20.0    
..Arts, entertainment, and recreation, and accommodation and food services E043 14,917 16.9    
..Other services, except public administration E044 4,302 4.9    
..Public administration E045 5,999 6.8    
       
CLASS OF WORKER        
.Civilian employed population 16 years and over E046 88,098    
..Private wage and salary workers E047 62,564 71.0    
..Government workers E048 15,912 18.1    
..Self-employed in own not incorporated business workers E049 9,422 10.7    
..Unpaid family workers E050 200 0.2    
       
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS)        
.Total households E051 69,453    
..Less than $10,000 E052 5,338 7.7    
..$10,000 to $14,999 E053 3,032 4.4    
..$15,000 to $24,999 E054 6,608 9.5    
..$25,000 to $34,999 E055 5,981 8.6    
..$35,000 to $49,999 E056 7,808 11.2    
..$50,000 to $74,999 E057 11,539 16.6    
..$75,000 to $99,999 E058 9,665 13.9    
..$100,000 to $149,999 E059 10,788 15.5    
..$150,000 to $199,999 E060 4,819 6.9    
..$200,000 or more E061 3,875 5.6    
..Median household income (dollars) E062 62,409    
..Mean household income (dollars) E063 82,222    
       
..With earnings E064 50,350 72.5    
...Mean earnings (dollars) E065 78,764    
..With Social Security E066 29,208 42.1    
...Mean Social Security income (dollars) E067 19,704    
..With retirement income E068 16,937 24.4    
...Mean retirement income (dollars) E069 30,126    
       
..With Supplemental Security Income E070 4,050 5.8    
...Mean Supplemental Security Income (dollars) E071 10,184    
..With cash public assistance income E072 2,701 3.9    
...Mean cash public assistance income (dollars) E073 4,830    
..With Food Stamp/SNAP benefits in the past 12 months E074 13,706 19.7    
       
.Families E075 46,248    
..Less than $10,000 E076 2,371 5.1    
..$10,000 to $14,999 E077 1,065 2.3    
..$15,000 to $24,999 E078 3,161 6.8    
..$25,000 to $34,999 E079 3,568 7.7    
..$35,000 to $49,999 E080 4,805 10.4    
..$50,000 to $74,999 E081 8,022 17.3    
..$75,000 to $99,999 E082 7,496 16.2    
..$100,000 to $149,999 E083 8,713 18.8    
..$150,000 to $199,999 E084 4,129 8.9    
..$200,000 or more E085 2,918 6.3    
..Median family income (dollars) E086 75,331    
..Mean family income (dollars) E087 92,486    
       
.Per capita income (dollars) E088 30,542    
       
.Nonfamily households E089 23,205    
..Median nonfamily income (dollars) E090 34,121    
..Mean nonfamily income (dollars) E091 53,861    
       
.Median earnings for workers (dollars) E092 32,401    
.Median earnings for male full-time, year-round workers (dollars) E093 45,964    
.Median earnings for female full-time, year-round workers (dollars) E094 41,384    
       
HEALTH INSURANCE COVERAGE        
.Civilian noninstitutionalized population E095 197,924    
..With health insurance coverage E096 188,128 95.1    
...With private health insurance E097 127,465 64.4    
...With public coverage E098 92,400 46.7    
..No health insurance coverage E099 9,796 4.9    
       
.Civilian noninstitutionalized population under 19 years E100 45,566    
..No health insurance coverage E101 1,183 2.6    
       
.Civilian noninstitutionalized population 19 to 64 years E102 112,462    
..In labor force: E103 83,660    
...Employed: E104 78,464    
....With health insurance coverage E105 73,655 93.9    
.....With private health insurance E106 64,228 81.9    
.....With public coverage E107 12,079 15.4    
....No health insurance coverage E108 4,809 6.1    
...Unemployed: E109 5,196    
....With health insurance coverage E110 4,211 81.0    
.....With private health insurance E111 1,382 26.6    
.....With public coverage E112 2,859 55.0    
....No health insurance coverage E113 985 19.0    
..Not in labor force: E114 28,802    
...With health insurance coverage E115 26,185 90.9    
....With private health insurance E116 12,869 44.7    
....With public coverage E117 15,408 53.5    
...No health insurance coverage E118 2,617 9.1    
       
PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL        
.All families E119 11.6    
..With related children of the householder under 18 years E120 19.7    
...With related children of the householder under 5 years only E121 21.4    
..Married couple families E122 5.6    
...With related children of the householder under 18 years E123 6.7    
....With related children of the householder under 5 years only E124 7.6    
..Families with female householder, no spouse present E125 29.4    
...With related children of the householder under 18 years E126 42.8    
....With related children of the householder under 5 years only E127 51.2    
       
.All people E128 15.6    
..Under 18 years E129 22.9    
...Related children of the householder under 18 years E130 22.6    
....Related children of the householder under 5 years E131 28.4    
....Related children of the householder 5 to 17 years E132 20.4    
..18 years and over E133 13.6    
...18 to 64 years E134 14.9    
...65 years and over E135 9.8    
..People in families E136 12.2    
..Unrelated individuals 15 years and over E137 29.4    


Housing Situation.. goto topics
2.5. New Authorized Residential Construction.. goto topics
.. updated monthly based on data reported by local governments. Compare monthly data for 2020 through June 2021; next update August 28, 2021 (July 2021 data). Table below saved as c:\dede\1\15001bp.csv.
Units in StructureJan-20Feb-20Mar-20Apr-20May-20Jun-20Jul-20Aug-20Sep-20Oct-20Nov-20Dec-20
Single Family, Buildings 58 58 83 50 54 55 85 60 57 157 46 86
Single Family, Units 58 58 83 50 54 55 85 60 57 157 46 86
Single Family, Value 18,005 18,005 38,893 16,283 28,404 37,853 21,795 31,581 19,153 45,652 15,913 36,595
2 Unit, Buildings 0 0 0 0 0 0 0 0 2 0 0 0
2 Unit, Units 0 0 0 0 0 0 0 0 4 0 0 0
2 Unit, Value 0 0 0 0 0 0 0 0 433 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

Units in StructureJan-21Feb-21Mar-21Apr-21May-21Jun-21Jul-21Aug-21Sep-21Oct-21Nov-21Dec-21
Single Family, Buildings 89 39 92 66 83 122 0 0 0 0 0 0
Single Family, Units 89 39 92 66 83 122 0 0 0 0 0 0
Single Family, Value 44,395 11,811 29,642 22,317 38,513 76,674 0 0 0 0 0 0
2 Unit, Buildings 0 0 0 0 0 12 0 0 0 0 0 0
2 Unit, Units 0 0 0 0 0 24 0 0 0 0 0 0
2 Unit, Value 0 0 0 0 0 3,892 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

2.4 Housing Characteristics .. goto topics
.. 2020 and 2025 values available in premium edition.
HOUSING CHARACTERISTICS (DP4) ItemCode ACS 2019
5-year
 Percent 2020
Estimate		 2020
Percent		 2025
Projection		 2025
Percent
HOUSING OCCUPANCY        
.Total housing units H001 87,824    
..Occupied housing units H002 69,453 79.1    
..Vacant housing units H003 18,371 20.9    
       
..Homeowner vacancy rate H004 2.6    
..Rental vacancy rate H005 9.6    
       
UNITS IN STRUCTURE        
.Total housing units H006 87,824    
..1-unit, detached H007 68,517 78.0    
..1-unit, attached H008 2,538 2.9    
..2 units H009 1,862 2.1    
..3 or 4 units H010 2,232 2.5    
..5 to 9 units H011 4,870 5.5    
..10 to 19 units H012 3,269 3.7    
..20 or more units H013 4,199 4.8    
..Mobile home H014 280 0.3    
..Boat, RV, van, etc. H015 57 0.1    
       
YEAR STRUCTURE BUILT        
.Total housing units H016 87,824    
..Built 2014 or later H017 1,092 1.2    
..Built 2010 to 2013 H018 2,361 2.7    
..Built 2000 to 2009 H019 18,728 21.3    
..Built 1990 to 1999 H020 16,600 18.9    
..Built 1980 to 1989 H021 17,049 19.4    
..Built 1970 to 1979 H022 15,984 18.2    
..Built 1960 to 1969 H023 5,913 6.7    
..Built 1950 to 1959 H024 4,229 4.8    
..Built 1940 to 1949 H025 2,696 3.1    
..Built 1939 or earlier H026 3,172 3.6    
       
ROOMS        
.Total housing units H027 87,824    
..1 room H028 4,030 4.6    
..2 rooms H029 3,840 4.4    
..3 rooms H030 8,867 10.1    
..4 rooms H031 18,238 20.8    
..5 rooms H032 25,511 29.0    
..6 rooms H033 13,499 15.4    
..7 rooms H034 6,412 7.3    
..8 rooms H035 3,862 4.4    
..9 rooms or more H036 3,565 4.1    
..Median rooms H037 4.9    
       
BEDROOMS        
.Total housing units H038 87,824    
..No bedroom H039 4,238 4.8    
..1 bedroom H040 8,503 9.7    
..2 bedrooms H041 21,139 24.1    
..3 bedrooms H042 40,667 46.3    
..4 bedrooms H043 10,051 11.4    
..5 or more bedrooms H044 3,226 3.7    
       
HOUSING TENURE        
.Occupied housing units H045 69,453    
..Owner-occupied H046 47,047 67.7    
..Renter-occupied H047 22,406 32.3    
       
..Average household size of owner-occupied unit H048 2.8    
..Average household size of renter-occupied unit H049 3.0    
       
YEAR HOUSEHOLDER MOVED INTO UNIT        
.Occupied housing units H050 69,453    
..Moved in 2017 or later H051 6,070 8.7    
..Moved in 2015 to 2016 H052 9,430 13.6    
..Moved in 2010 to 2014 H053 15,738 22.7    
..Moved in 2000 to 2009 H054 18,083 26.0    
..Moved in 1990 to 1999 H055 9,241 13.3    
..Moved in 1989 and earlier H056 10,891 15.7    
       
VEHICLES AVAILABLE        
.Occupied housing units H057 69,453    
..No vehicles available H058 3,457 5.0    
..1 vehicle available H059 22,834 32.9    
..2 vehicles available H060 26,366 38.0    
..3 or more vehicles available H061 16,796 24.2    
       
HOUSE HEATING FUEL        
.Occupied housing units H062 69,453    
..Utility gas H063 522 0.8    
..Bottled, tank, or LP gas H064 2,104 3.0    
..Electricity H065 11,053 15.9    
..Fuel oil, kerosene, etc. H066 43 0.1    
..Coal or coke H067 15 0.0    
..Wood H068 710 1.0    
..Solar energy H069 1,538 2.2    
..Other fuel H070 25 0.0    
..No fuel used H071 53,443 76.9    
       
SELECTED CHARACTERISTICS        
.Occupied housing units H072 69,453    
..Lacking complete plumbing facilities H073 1,418 2.0    
..Lacking complete kitchen facilities H074 2,132 3.1    
..No telephone service available H075 1,485 2.1    
       
OCCUPANTS PER ROOM        
.Occupied housing units H076 69,453    
..1.00 or less H077 64,479 92.8    
..1.01 to 1.50 H078 2,972 4.3    
..1.51 or more H079 2,002 2.9    
       
VALUE        
.Owner-occupied units H080 47,047    
..Less than $50,000 H081 861 1.8    
..$50,000 to $99,999 H082 1,553 3.3    
..$100,000 to $149,999 H083 3,008 6.4    
..$150,000 to $199,999 H084 4,024 8.6    
..$200,000 to $299,999 H085 9,592 20.4    
..$300,000 to $499,999 H086 14,569 31.0    
..$500,000 to $999,999 H087 10,993 23.4    
..$1,000,000 or more H088 2,447 5.2    
..Median (dollars) H089 350,000    
       
MORTGAGE STATUS        
.Owner-occupied units H090 47,047    
..Housing units with a mortgage H091 27,204 57.8    
..Housing units without a mortgage H092 19,843 42.2    
       
SELECTED MONTHLY OWNER COSTS (SMOC)        
.Housing units with a mortgage H093 27,204    
..Less than $500 H094 375 1.4    
..$500 to $999 H095 3,877 14.3    
..$1,000 to $1,499 H096 6,522 24.0    
..$1,500 to $1,999 H097 6,395 23.5    
..$2,000 to $2,499 H098 4,349 16.0    
..$2,500 to $2,999 H099 2,432 8.9    
..$3,000 or more H100 3,254 12.0    
..Median (dollars) H101 1,689    
       
.Housing units without a mortgage H102 19,843    
..Less than $250 H103 6,471 32.6    
..$250 to $399 H104 5,967 30.1    
..$400 to $599 H105 4,145 20.9    
..$600 to $799 H106 1,477 7.4    
..$800 to $999 H107 769 3.9    
..$1,000 or more H108 1,014 5.1    
..Median (dollars) H109 328    
       
SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI)        
.Housing units with a mortgage (excluding units where SMOCAPI cannot be computed) H110 27,061    
..Less than 20.0 percent H111 9,875 36.5    
..20.0 to 24.9 percent H112 4,115 15.2    
..25.0 to 29.9 percent H113 2,709 10.0    
..30.0 to 34.9 percent H114 2,151 7.9    
..35.0 percent or more H115 8,211 30.3    
       
..Not computed H116 143    
       
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed) H117 19,416    
..Less than 10.0 percent H118 11,563 59.6    
..10.0 to 14.9 percent H119 2,272 11.7    
..15.0 to 19.9 percent H120 1,701 8.8    
..20.0 to 24.9 percent H121 1,265 6.5    
..25.0 to 29.9 percent H122 516 2.7    
..30.0 to 34.9 percent H123 268 1.4    
..35.0 percent or more H124 1,831 9.4    
       
..Not computed H125 427    
       
GROSS RENT        
.Occupied units paying rent H126 19,847    
..Less than $500 H127 2,177 11.0    
..$500 to $999 H128 4,918 24.8    
..$1,000 to $1,499 H129 6,818 34.4    
..$1,500 to $1,999 H130 3,474 17.5    
..$2,000 to $2,499 H131 1,589 8.0    
..$2,500 to $2,999 H132 686 3.5    
..$3,000 or more H133 185 0.9    
..Median (dollars) H134 1,180    
       
..No rent paid H135 2,559    
       
GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI)        
.Occupied units paying rent (excluding units where GRAPI cannot be computed) H136 19,302    
..Less than 15.0 percent H137 3,303 17.1    
..15.0 to 19.9 percent H138 2,465 12.8    
..20.0 to 24.9 percent H139 2,011 10.4    
..25.0 to 29.9 percent H140 2,025 10.5    
..30.0 to 34.9 percent H141 1,242 6.4    
..35.0 percent or more H142 8,256 42.8    
       
..Not computed H143 3,104    


3.1 Industry by Sector Characteristics .. goto topics
Establishments, Employment, Wages QCEW -- 2021Q1
Type of owner .. 1:Federal, 2:State, 3:Local, 5:Private. Click NAICS code link for more information about this sector.
Wages showing zero: employment & wages items suppressed (disclosure). Detail file saved as c:\dede\1\qcewarea.dbf.
      Industry by Sector Characteristics
Industry NAICS Owner Estabs Estabs% Emp Emp% Wages Wages% AWW
Total, all owners 10 0 6,229 100.0 63,579 100.0 765,636,245 100.0 926
Total, Federal 10 1 61 1.0 1,231 1.9 21,964,469 2.9 1,373
Total, State 10 2 264 4.2 9,593 15.1 148,289,735 19.4 1,189
Total, Local 10 3 21 0.3 2,734 4.3 49,965,403 6.5 1,406
Total, Private 10 5 5,883 94.4 50,022 78.7 545,416,638 71.2 839
Agriculture, forestry, fishing and hunting 11 5 218 3.5 2,299 3.6 22,029,714 2.9 737
Crop production 111 5 142 2.3 1,459 2.3 11,737,309 1.5 619
Animal production 112 5 56 0.9 593 0.9 8,016,102 1.0 1,040
Forestry and logging 113 5 6 0.1 0 0.0 0 0.0 0
Fishing, hunting and trapping 114 5 2 0.0 0 0.0 0 0.0 0
Agriculture and forestry support activities 115 5 12 0.2 225 0.4 1,964,187 0.3 673
Utilities 22 3 1 0.0 0 0.0 0 0.0 0
Utilities 22 5 23 0.4 524 0.8 13,327,247 1.7 1,958
Utilities 221 3 1 0.0 0 0.0 0 0.0 0
Utilities 221 5 23 0.4 524 0.8 13,327,247 1.7 1,958
Construction 23 5 603 9.7 3,599 5.7 54,982,931 7.2 1,175
Construction of buildings 236 5 201 3.2 1,104 1.7 16,981,928 2.2 1,183
Heavy and civil engineering construction 237 5 46 0.7 671 1.1 12,749,017 1.7 1,462
Specialty trade contractors 238 5 356 5.7 1,824 2.9 25,251,986 3.3 1,065
Manufacturing 31-33 5 162 2.6 1,310 2.1 12,872,096 1.7 756
Food manufacturing 311 5 68 1.1 755 1.2 6,674,051 0.9 680
Beverage and tobacco product manufacturing 312 5 11 0.2 154 0.2 1,598,520 0.2 798
Textile product mills 314 5 4 0.1 0 0.0 0 0.0 0
Apparel manufacturing 315 5 4 0.1 0 0.0 0 0.0 0
Leather and allied product manufacturing 316 5 2 0.0 0 0.0 0 0.0 0
Wood product manufacturing 321 5 4 0.1 25 0.0 273,004 0.0 840
Printing and related support activities 323 5 13 0.2 39 0.1 202,680 0.0 400
Chemical manufacturing 325 5 11 0.2 66 0.1 785,095 0.1 920
Plastics and rubber products manufacturing 326 5 4 0.1 0 0.0 0 0.0 0
Nonmetallic mineral product manufacturing 327 5 8 0.1 103 0.2 1,798,501 0.2 1,343
Primary metal manufacturing 331 5 1 0.0 0 0.0 0 0.0 0
Fabricated metal product manufacturing 332 5 5 0.1 34 0.1 362,462 0.0 812
Transportation equipment manufacturing 336 5 3 0.0 0 0.0 0 0.0 0
Furniture and related product manufacturing 337 5 10 0.2 0 0.0 0 0.0 0
Miscellaneous manufacturing 339 5 14 0.2 22 0.0 103,052 0.0 355
Wholesale trade 42 5 214 3.4 1,575 2.5 21,708,554 2.8 1,060
Merchant wholesalers, durable goods 423 5 92 1.5 0 0.0 0 0.0 0
Merchant wholesalers, nondurable goods 424 5 104 1.7 1,128 1.8 13,756,880 1.8 938
Electronic markets and agents and brokers 425 5 18 0.3 0 0.0 0 0.0 0
Retail trade 44-45 1 2 0.0 9 0.0 80,740 0.0 665
Retail trade 44-45 5 636 10.2 9,212 14.5 76,219,485 10.0 636
Motor vehicle and parts dealers 441 5 68 1.1 920 1.4 12,744,033 1.7 1,065
Furniture and home furnishings stores 442 5 30 0.5 136 0.2 1,210,138 0.2 684
Electronics and appliance stores 443 5 12 0.2 0 0.0 0 0.0 0
Building material and garden supply stores 444 5 42 0.7 1,113 1.8 10,316,855 1.3 713
Food and beverage stores 445 5 90 1.4 2,471 3.9 17,954,001 2.3 559
Health and personal care stores 446 5 55 0.9 512 0.8 4,196,663 0.5 631
Gasoline stations 447 5 57 0.9 598 0.9 3,864,924 0.5 497
Clothing and clothing accessories stores 448 5 96 1.5 388 0.6 2,064,713 0.3 409
Sporting goods, hobby, book and music stores 451 5 37 0.6 0 0.0 0 0.0 0
General merchandise stores 452 1 1 0.0 7 0.0 59,523 0.0 624
General merchandise stores 452 5 27 0.4 2,248 3.5 17,837,348 2.3 610
Miscellaneous store retailers 453 1 1 0.0 2 0.0 21,217 0.0 816
Miscellaneous store retailers 453 5 90 1.4 423 0.7 2,859,223 0.4 520
Nonstore retailers 454 5 32 0.5 60 0.1 705,843 0.1 910
Transportation and warehousing 48-49 1 28 0.4 241 0.4 5,039,881 0.7 1,606
Transportation and warehousing 48-49 5 221 3.5 2,090 3.3 22,719,127 3.0 836
Air transportation 481 5 9 0.1 360 0.6 3,881,536 0.5 830
Water transportation 483 5 4 0.1 0 0.0 0 0.0 0
Truck transportation 484 5 56 0.9 497 0.8 5,673,292 0.7 878
Transit and ground passenger transportation 485 5 20 0.3 263 0.4 1,463,587 0.2 428
Scenic and sightseeing transportation 487 5 78 1.3 423 0.7 3,630,207 0.5 661
Support activities for transportation 488 5 31 0.5 219 0.3 3,456,632 0.5 1,216
Postal service 491 1 28 0.4 241 0.4 5,039,881 0.7 1,606
Postal service 491 5 1 0.0 0 0.0 0 0.0 0
Couriers and messengers 492 5 17 0.3 227 0.4 2,467,881 0.3 835
Warehousing and storage 493 5 5 0.1 48 0.1 483,660 0.1 770
Information 51 2 7 0.1 0 0.0 0 0.0 0
Information 51 5 132 2.1 528 0.8 15,960,797 2.1 2,327
Publishing industries, except Internet 511 5 37 0.6 104 0.2 2,480,212 0.3 1,834
Motion picture and sound recording industries 512 5 21 0.3 44 0.1 490,302 0.1 851
Broadcasting, except Internet 515 5 10 0.2 62 0.1 748,451 0.1 934
Telecommunications 517 5 22 0.4 279 0.4 5,776,769 0.8 1,591
ISPs, search portals, and data processing 518 5 31 0.5 26 0.0 6,035,518 0.8 17,631
Other information services 519 2 7 0.1 0 0.0 0 0.0 0
Other information services 519 5 11 0.2 12 0.0 429,545 0.1 2,753
Finance and insurance 52 1 1 0.0 16 0.0 352,920 0.0 1,697
Finance and insurance 52 5 215 3.5 1,188 1.9 21,392,697 2.8 1,386
Credit intermediation and related activities 522 1 1 0.0 16 0.0 352,920 0.0 1,697
Credit intermediation and related activities 522 5 113 1.8 806 1.3 14,045,592 1.8 1,340
Securities, commodity contracts, investments 523 5 31 0.5 0 0.0 0 0.0 0
Insurance carriers and related activities 524 5 70 1.1 322 0.5 4,635,585 0.6 1,106
Funds, trusts, and other financial vehicles 525 5 1 0.0 0 0.0 0 0.0 0
Real estate and rental and leasing 53 3 1 0.0 0 0.0 0 0.0 0
Real estate and rental and leasing 53 5 301 4.8 1,062 1.7 13,580,486 1.8 983
Real estate 531 3 1 0.0 0 0.0 0 0.0 0
Real estate 531 5 223 3.6 741 1.2 10,548,285 1.4 1,096
Rental and leasing services 532 5 77 1.2 0 0.0 0 0.0 0
Lessors of nonfinancial intangible assets 533 5 1 0.0 0 0.0 0 0.0 0
Professional and technical services 54 1 1 0.0 12 0.0 248,079 0.0 1,590
Professional and technical services 54 2 1 0.0 0 0.0 0 0.0 0
Professional and technical services 54 3 1 0.0 0 0.0 0 0.0 0
Professional and technical services 54 5 602 9.7 1,580 2.5 25,566,090 3.3 1,245
Professional and technical services 541 1 1 0.0 12 0.0 248,079 0.0 1,590
Professional and technical services 541 2 1 0.0 0 0.0 0 0.0 0
Professional and technical services 541 3 1 0.0 0 0.0 0 0.0 0
Professional and technical services 541 5 602 9.7 1,580 2.5 25,566,090 3.3 1,245
Management of companies and enterprises 55 5 38 0.6 314 0.5 7,618,676 1.0 1,868
Management of companies and enterprises 551 5 38 0.6 314 0.5 7,618,676 1.0 1,868
Administrative and waste services 56 2 1 0.0 0 0.0 0 0.0 0
Administrative and waste services 56 5 437 7.0 3,861 6.1 31,125,244 4.1 620
Administrative and support services 561 2 1 0.0 0 0.0 0 0.0 0
Administrative and support services 561 5 399 6.4 3,663 5.8 29,008,307 3.8 609
Waste management and remediation services 562 5 38 0.6 198 0.3 2,116,937 0.3 822
Educational services 61 2 130 2.1 5,604 8.8 73,766,767 9.6 1,012
Educational services 61 5 111 1.8 1,159 1.8 13,909,059 1.8 923
Educational services 611 2 130 2.1 5,604 8.8 73,766,767 9.6 1,012
Educational services 611 5 111 1.8 1,159 1.8 13,909,059 1.8 923
Health care and social assistance 62 2 18 0.3 2,103 3.3 43,838,995 5.7 1,604
Health care and social assistance 62 5 752 12.1 7,354 11.6 81,701,619 10.7 855
Ambulatory health care services 621 2 2 0.0 0 0.0 0 0.0 0
Ambulatory health care services 621 5 444 7.1 3,750 5.9 52,160,517 6.8 1,070
Hospitals 622 2 12 0.2 2,022 3.2 43,213,838 5.6 1,644
Hospitals 622 5 1 0.0 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 19 0.3 0 0.0 0 0.0 0
Social assistance 624 2 3 0.0 32 0.0 179,513 0.0 436
Social assistance 624 5 288 4.6 2,438 3.8 15,221,606 2.0 480
Arts, entertainment, and recreation 71 1 6 0.1 206 0.3 3,472,514 0.5 1,299
Arts, entertainment, and recreation 71 5 104 1.7 1,214 1.9 10,879,224 1.4 689
Performing arts and spectator sports 711 5 32 0.5 172 0.3 1,190,504 0.2 532
Museums, historical sites, zoos, and parks 712 1 5 0.1 206 0.3 3,472,514 0.5 1,299
Museums, historical sites, zoos, and parks 712 5 15 0.2 97 0.2 558,123 0.1 444
Amusements, gambling, and recreation 713 1 1 0.0 0 0.0 0 0.0 0
Amusements, gambling, and recreation 713 5 57 0.9 946 1.5 9,130,597 1.2 743
Accommodation and food services 72 5 581 9.3 9,238 14.5 81,937,839 10.7 682
Accommodation 721 5 95 1.5 4,017 6.3 50,393,095 6.6 965
Food services and drinking places 722 5 486 7.8 5,221 8.2 31,544,744 4.1 465
Other services, except public administration 81 5 533 8.6 1,915 3.0 17,885,753 2.3 718
Repair and maintenance 811 5 115 1.8 417 0.7 4,025,900 0.5 743
Personal and laundry services 812 5 102 1.6 344 0.5 2,447,237 0.3 547
Membership associations and organizations 813 5 281 4.5 1,066 1.7 9,795,284 1.3 707
Private households 814 5 35 0.6 88 0.1 1,617,332 0.2 1,408
Public administration 92 1 23 0.4 746 1.2 12,770,335 1.7 1,316
Public administration 92 2 107 1.7 1,820 2.9 29,942,215 3.9 1,266
Public administration 92 3 18 0.3 2,493 3.9 45,954,804 6.0 1,418
Executive, legislative and general government 921 1 1 0.0 3 0.0 66,941 0.0 1,545
Executive, legislative and general government 921 2 21 0.3 115 0.2 1,823,382 0.2 1,223
Executive, legislative and general government 921 3 4 0.1 243 0.4 3,651,105 0.5 1,157
Justice, public order, and safety activities 922 1 4 0.1 9 0.0 249,446 0.0 2,132
Justice, public order, and safety activities 922 2 26 0.4 611 1.0 10,801,365 1.4 1,359
Justice, public order, and safety activities 922 3 5 0.1 1,174 1.8 27,036,937 3.5 1,771
Administration of human resource programs 923 1 3 0.0 99 0.2 1,985,652 0.3 1,543
Administration of human resource programs 923 2 28 0.4 578 0.9 9,521,461 1.2 1,268
Administration of human resource programs 923 3 2 0.0 0 0.0 0 0.0 0
Administration of environmental programs 924 1 3 0.0 103 0.2 2,235,778 0.3 1,664
Administration of environmental programs 924 2 11 0.2 150 0.2 2,303,933 0.3 1,179
Administration of environmental programs 924 3 2 0.0 0 0.0 0 0.0 0
Community and housing program administration 925 2 5 0.1 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 9 0.1 373 0.6 5,186,103 0.7 1,069
Administration of economic programs 926 2 14 0.2 290 0.5 4,643,295 0.6 1,230
Administration of economic programs 926 3 3 0.0 50 0.1 850,915 0.1 1,318
National security and international affairs 928 1 3 0.0 158 0.2 3,046,415 0.4 1,480
National security and international affairs 928 2 2 0.0 0 0.0 0 0.0 0

4.1 Census Tract Demographic-Economic Characteristics .. goto topics
There are 50 tracts in this county; see their characteristics in the table below. The subject matter columns in this table are customizable and based on the subject matter items file used/selected. The file C:\dede\api_items_acs_base.dbf has been written to your computer and used to develop the following table. See about census tracts .. additional tract data resources
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
15001020100 4,280 1,989 2,291 1,255 4 8 1,599 337 17 1,060 530 1,064 4,257 1,620 1,034 3,262 446 744 1,620 1,092 528 547 54,336 79,048 316,200 822
15001020202 2,649 1,565 1,084 593 23 28 741 459 89 716 324 394 1,804 651 427 2,202 715 320 651 503 148 73 54,125 71,058 338,600 990
15001020300 4,310 2,286 2,024 1,494 44 4 758 324 92 1,594 967 931 4,013 1,698 932 3,043 401 359 1,698 614 1,084 237 27,500 37,500 289,000 862
15001020400 3,310 1,553 1,757 782 47 15 993 488 19 966 501 729 3,259 1,300 711 2,494 426 394 1,300 521 779 281 46,429 48,839 208,800 866
15001020500 6,250 2,929 3,321 1,306 41 15 1,086 623 46 3,133 1,263 885 5,519 2,130 906 3,250 603 722 2,130 501 1,629 400 28,923 40,405 285,800 961
15001020600 5,649 2,805 2,844 555 37 3 1,104 1,736 12 2,202 519 1,014 5,628 1,846 1,286 3,795 589 782 1,846 1,358 488 319 62,045 70,804 234,800 1,214
15001020701 4,449 2,079 2,370 599 8 6 2,125 237 50 1,424 276 1,134 4,439 1,778 961 3,350 534 499 1,778 1,106 672 262 53,306 78,266 353,500 1,022
15001020702 4,739 2,394 2,345 511 29 0 2,603 345 73 1,178 368 1,170 4,698 1,711 1,274 3,657 361 346 1,711 1,475 236 250 86,815 96,010 332,600 1,645
15001020801 5,087 2,445 2,642 852 0 21 1,780 296 12 2,126 446 1,025 5,004 1,526 1,271 3,470 468 399 1,526 1,270 256 102 92,632 94,396 371,400 1,526
15001020802 6,660 3,017 3,643 1,765 139 0 2,325 489 0 1,942 554 1,309 6,592 2,292 1,767 4,698 560 669 2,292 1,545 747 299 73,447 76,289 359,900 1,251
15001020900 4,534 2,233 2,301 1,002 0 0 1,798 102 23 1,609 394 931 4,534 1,683 1,145 3,302 375 265 1,683 1,335 348 192 80,194 100,922 374,200 1,167
15001021003 7,095 3,570 3,525 2,012 31 188 909 1,335 229 2,391 1,984 1,085 7,095 2,501 1,656 4,900 1,149 904 2,501 1,663 838 228 39,787 44,633 196,600 1,162
15001021005 10,867 5,216 5,651 4,024 0 47 2,717 1,171 379 2,529 819 2,023 10,867 3,793 2,846 7,964 1,008 1,054 3,793 3,294 499 809 63,750 78,591 300,600 1,306
15001021010 8,606 4,458 4,148 3,557 63 74 599 1,783 37 2,493 1,385 1,715 8,606 3,300 1,933 6,124 1,129 1,183 3,300 2,618 682 789 36,382 48,309 191,300 1,080
15001021011 4,080 1,900 2,180 1,599 0 0 324 377 55 1,725 1,114 976 4,058 1,463 1,054 2,654 372 422 1,463 1,118 345 557 47,212 71,250 215,300 1,020
15001021013 5,052 2,279 2,773 895 0 0 1,885 823 4 1,445 270 982 5,020 1,682 1,177 3,641 483 627 1,682 1,228 454 203 53,981 67,481 330,200 1,035
15001021101 3,054 1,716 1,338 2,093 14 29 198 114 48 558 305 909 3,054 1,543 749 2,569 342 263 1,543 1,292 251 415 32,386 53,266 250,200 588
15001021106 8,014 4,097 3,917 3,333 28 99 914 1,246 187 2,207 1,693 1,445 7,995 2,886 1,871 5,584 863 672 2,886 2,121 765 710 44,000 55,858 173,800 1,188
15001021202 9,885 5,054 4,831 3,074 76 36 1,517 1,289 103 3,790 2,018 1,609 9,852 3,131 1,860 6,103 1,287 1,115 3,131 2,354 777 1,048 33,091 52,174 166,400 952
15001021300 7,249 3,851 3,398 2,990 76 49 793 650 677 2,014 948 1,372 7,249 2,374 1,690 5,235 729 502 2,374 1,406 968 711 58,281 82,162 492,600 1,298
15001021402 3,778 1,912 1,866 901 9 0 1,249 539 0 1,080 405 933 3,750 1,374 838 2,731 488 459 1,374 835 539 209 62,237 73,750 476,600 891
15001021502 4,587 2,357 2,230 2,092 7 4 488 574 46 1,376 619 998 4,554 1,723 1,114 3,338 472 390 1,723 1,072 651 328 85,208 90,673 740,900 1,247
15001021504 5,042 2,526 2,516 825 2 0 976 1,553 161 1,525 537 633 5,032 1,407 1,119 3,087 523 660 1,407 854 553 183 62,380 65,991 406,900 1,141
15001021507 10,323 4,982 5,341 4,531 65 0 1,699 1,388 83 2,557 703 1,810 10,283 3,573 2,717 7,486 1,047 1,175 3,573 2,550 1,023 927 78,490 97,375 543,100 1,373
15001021509 6,855 3,491 3,364 3,423 0 0 2,256 454 0 722 443 2,128 6,774 2,404 1,598 5,450 653 923 2,404 1,621 783 1,145 83,092 86,573 605,300 1,484
15001021601 9,877 5,212 4,665 3,877 48 21 2,070 1,365 832 1,664 1,490 2,044 9,316 3,312 2,107 7,459 1,308 1,079 3,312 1,686 1,626 889 75,729 78,375 479,100 1,234
15001021604 9,198 4,826 4,372 5,156 289 68 1,772 324 0 1,589 707 2,021 9,183 3,402 2,260 6,826 552 457 3,402 2,263 1,139 1,552 90,962 91,319 623,600 1,821
15001021702 12,049 5,390 6,659 2,943 0 1 3,161 1,991 13 3,940 680 2,073 11,833 3,399 2,476 8,349 1,233 1,466 3,399 1,928 1,471 438 90,785 101,250 457,200 1,569
15001021704 8,240 4,100 4,140 4,028 125 227 1,297 476 420 1,667 1,197 1,547 8,226 3,206 2,109 5,634 560 495 3,206 2,329 877 3,054 75,727 89,232 481,300 1,604
15001021800 5,998 2,855 3,143 2,142 15 0 1,156 752 19 1,914 825 1,411 5,978 2,112 1,440 4,357 852 735 2,112 1,586 526 519 76,967 81,371 462,600 1,095
15001021902 3,529 1,792 1,737 875 11 0 903 360 67 1,313 678 919 3,486 1,146 885 2,573 490 465 1,146 777 369 286 60,677 62,813 362,200 889
15001022000 2,584 1,336 1,248 826 0 0 713 263 0 782 288 634 2,584 868 646 1,864 407 333 868 660 208 169 56,759 59,167 357,100 1,096
15001022102 1,580 787 793 583 35 34 463 75 6 384 136 419 1,580 619 389 1,226 207 227 619 472 147 240 46,858 55,781 349,300 843
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15001991400 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
15001991500 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
15001991600 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
15001991700 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


Thematic Pattern & Reference Maps for Hawaii County, HI & Vicinity
View patterns of economic prosperity by census tract for this area using the Visual Data Analytics (VDA) Web GIS.

Follow these steps:
  • Sign in and choose the "Census 2020" GIS project.
  • Click this link to start VDA .. the map interface opens in a new window.
  • In upper right, above map window of VDA page, enter the "County" code 15001 .. key the code into the edit box.
  • Clicking the Query button, the map window refreshes with the zoom to county view.
  • Use Zoom buttons (or zoom by mouse window) to preferred view.

Illustrative Views
Fresno County, CA (using code 06019 in VDA County query):



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