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  Situation & Outlook Report
  Maui 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

Not available for this area.

How & Why Maui County, HI is Changing .. goto topics
Maui County, HI (15009), part of Kahului-Wailuku-Lahaina, HI MSA (27980), changed in population from 155,025 (2010) to 167,902 (2020), a change of 12,877 (8.3%).
Factors accounting the change over the decade 2010 to 2020 include:
  • Births 2010-2020: 19,320
  • Deaths 2010-2020: 11,941
  • Natural Increase 2010-2020: 7,379
  • Net Migration 2010-2020: 5,563

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
Maui 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 154,834 100.0 164,754 100.0 9,920 6.4
  One race 118,506 76.5 124,586 75.6 6,080 5.1
    White alone 53,336 34.4 54,203 32.9 867 1.6
    Black alone 870 0.6 1,065 0.6 195 22.4
    American India/Alaskan Native alone 603 0.4 778 0.5 175 29.0
    Asian alone 44,595 28.8 44,328 26.9 -267 -0.6
    Native Hawaiian and Other Pacific Islander alone 16,051 10.4 20,008 12.1 3,957 24.7
    Other race 3,051 2.0 4,204 2.6 1,153 37.8
  Two or more races 36,328 23.5 40,168 24.4 3,840 10.6
  White, Non-Hispanic 49,193 31.8 51,926 31.5 2,733 5.6
  Black Non-Hispanic 818 0.5 1,010 0.6 192 23.5
  Hispanic (of any race) 15,710 10.1 16,914 10.3 1,204 7.7
Total population, 18 years or older 119,019 76.9 129,739 78.7 10,720 9.0
  One race 97,578 63.0 103,429 62.8 5,851 6.0
    White alone 46,339 29.9 47,625 28.9 1,286 2.8
    Black alone 726 0.5 927 0.6 201 27.7
    American India/Alaskan Native alone 507 0.3 634 0.4 127 25.0
    Asian alone 36,476 23.6 37,274 22.6 798 2.2
    Native Hawaiian and Other Pacific Islander alone 11,313 7.3 13,681 8.3 2,368 20.9
    Other race 2,217 1.4 3,288 2.0 1,071 48.3
  Two or more races 21,441 13.8 26,310 16.0 4,869 22.7
  White, Non-Hispanic 43,322 28.0 45,903 27.9 2,581 6.0
  Black Non-Hispanic 685 0.4 888 0.5 203 29.6
  Hispanic (of any race) 9,832 6.4 11,298 6.9 1,466 14.9
Group Quarters population 2,772 1.8 2,198 1.3 -574 -20.7
  Group Quarters, institutionalized population 1,456 0.9 791 0.5 -665 -45.7
  Group Quarters, noninstitutionalized population 1,316 0.8 1,407 0.9 91 6.9
Housing Units 70,379 100.0 71,439 100.0 1,060 1.5
  Occupied 53,886 76.6 56,063 78.5 2,177 4.0
  Vacant 16,493 23.4 15,376 21.5 -1,117 -6.8


1.1 Population & Components of Change .. goto topics
Based on Census Bureau model-based population estimates, the Maui County, HI population changed from 155,025 in 2010 to 167,902 in 2020, a change of 12,877 (8.3%).
Population/Component 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Population 155,025 156,967 158,936 161,065 163,116 163,993 165,596 166,465 167,384 167,682 167,902
Births 477 2,032 2,032 2,038 2,029 1,950 1,864 1,906 1,860 1,815 1,794
Deaths 258 1,028 1,087 1,125 1,119 1,216 1,165 1,113 1,184 1,349 1,555
Natural Increase 219 1,004 945 913 910 734 699 793 676 466 239
Net Migration -32 943 1,052 1,218 1,131 158 915 86 252 -168 -24
    International 164 716 865 510 392 712 1,371 591 630 425 338
    Domestic 338 -196 227 187 708 739 -554 -456 -505 -378 -593
Group Quarters 2,769 2,751 2,746 2,735 2,788 2,821 2,806 2,802 2,846 2,845 2,845

Examine population estimates/components of change and compare Maui 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 265 mover partner areas for Maui County, HI. There were a total inbound movers of 8856 and a total outbound movers of 6832, for a net movers of 230 (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_15009.dbf.
Residence 1 Year Age Geocode Moved to 15009 Moved from 15009 Net Movers
Asia null 1101 null null
Central America null 170 null null
Europe null 40 null null
U.S. Island Areas null 29 null null
Northern America null 273 null null
Oceania and At Sea null 157 null null
South America null 24 null null
Lee County, Alabama 01081 5 0 5
Kenai Peninsula Borough, Alaska 02122 17 0 17
Ketchikan Gateway Borough, Alaska 02130 1 0 1
Coconino County, Arizona 04005 0 12 -12
Maricopa County, Arizona 04013 79 137 -58
Pima County, Arizona 04019 13 0 13
Pinal County, Arizona 04021 7 38 -31
Yavapai County, Arizona 04025 39 0 39
Yuma County, Arizona 04027 0 42 -42
Benton County, Arkansas 05007 0 10 -10
Pulaski County, Arkansas 05119 40 0 40
Alameda County, California 06001 58 14 44
Butte County, California 06007 0 22 -22
Contra Costa County, California 06013 18 14 4
El Dorado County, California 06017 24 0 24
Fresno County, California 06019 0 15 -15
Humboldt County, California 06023 0 5 -5
Imperial County, California 06025 2 0 2
Kern County, California 06029 0 14 -14
Lake County, California 06033 0 2 -2
Los Angeles County, California 06037 195 152 43
Marin County, California 06041 43 0 43
Monterey County, California 06053 8 14 -6
Napa County, California 06055 0 30 -30
Nevada County, California 06057 27 15 12
Orange County, California 06059 371 57 314
Placer County, California 06061 26 50 -24
Riverside County, California 06065 133 107 26
Sacramento County, California 06067 132 107 25
San Bernardino County, California 06071 14 26 -12
San Diego County, California 06073 248 162 86
San Francisco County, California 06075 33 55 -22
San Joaquin County, California 06077 17 0 17
San Luis Obispo County, California 06079 0 27 -27
San Mateo County, California 06081 105 0 105
Santa Barbara County, California 06083 4 0 4
Santa Clara County, California 06085 153 45 108
Santa Cruz County, California 06087 14 8 6
Solano County, California 06095 33 0 33
Sonoma County, California 06097 31 6 25
Trinity County, California 06105 0 14 -14
Tulare County, California 06107 0 28 -28
Tuolumne County, California 06109 17 33 -16
Ventura County, California 06111 32 0 32
Alamosa County, Colorado 08003 0 7 -7
Boulder County, Colorado 08013 0 37 -37
Broomfield County, Colorado 08014 0 46 -46
Denver County, Colorado 08031 65 132 -67
Douglas County, Colorado 08035 19 0 19
Eagle County, Colorado 08037 12 0 12
El Paso County, Colorado 08041 12 6 6
Fremont County, Colorado 08043 24 0 24
Jefferson County, Colorado 08059 21 45 -24
Larimer County, Colorado 08069 27 83 -56
Las Animas County, Colorado 08071 0 4 -4
Mesa County, Colorado 08077 0 6 -6
Routt County, Colorado 08107 17 32 -15
Weld County, Colorado 08123 32 20 12
New Castle County, Delaware 10003 3 0 3
Alachua County, Florida 12001 2 0 2
Brevard County, Florida 12009 1 0 1
Duval County, Florida 12031 8 0 8
Escambia County, Florida 12033 0 17 -17
Indian River County, Florida 12061 0 33 -33
Lee County, Florida 12071 22 0 22
Miami-Dade County, Florida 12086 1 23 -22
Palm Beach County, Florida 12099 0 14 -14
Polk County, Florida 12105 0 65 -65
St. Lucie County, Florida 12111 0 8 -8
Seminole County, Florida 12117 0 10 -10
Volusia County, Florida 12127 0 72 -72
Walton County, Florida 12131 0 8 -8
Fulton County, Georgia 13121 43 0 43
Henry County, Georgia 13151 0 53 -53
Hawaii County, Hawaii 15001 336 171 165
Honolulu County, Hawaii 15003 1660 935 725
Kalawao County, Hawaii 15005 0 5 -5
Kauai County, Hawaii 15007 191 84 107
Ada County, Idaho 16001 0 106 -106
Bonner County, Idaho 16017 0 15 -15
Bonneville County, Idaho 16019 0 14 -14
Cook County, Illinois 17031 25 45 -20
DuPage County, Illinois 17043 9 0 9
Jefferson County, Illinois 17081 0 2 -2
Knox County, Illinois 17095 0 9 -9
Lake County, Illinois 17097 0 35 -35
Madison County, Illinois 17119 30 0 30
Peoria County, Illinois 17143 16 0 16
Benton County, Indiana 18007 0 5 -5
Clark County, Indiana 18019 8 0 8
Lawrence County, Indiana 18093 10 0 10
Shelby County, Indiana 18145 70 0 70
Gray County, Kansas 20069 0 2 -2
Johnson County, Kansas 20091 0 41 -41
Linn County, Kansas 20107 16 0 16
Wyandotte County, Kansas 20209 13 0 13
Franklin County, Kentucky 21073 39 0 39
Kenton County, Kentucky 21117 22 0 22
Oxford County, Maine 23017 0 11 -11
St. Mary's County, Maryland 24037 0 82 -82
Norfolk County, Massachusetts 25021 8 6 2
Worcester County, Massachusetts 25027 16 0 16
Barry County, Michigan 26015 0 25 -25
Eaton County, Michigan 26045 1 0 1
Kent County, Michigan 26081 25 0 25
Lenawee County, Michigan 26091 29 0 29
Muskegon County, Michigan 26121 0 6 -6
Oakland County, Michigan 26125 0 20 -20
Anoka County, Minnesota 27003 47 0 47
Hennepin County, Minnesota 27053 33 0 33
Otter Tail County, Minnesota 27111 0 50 -50
Ramsey County, Minnesota 27123 70 0 70
Buchanan County, Missouri 29021 0 4 -4
Cass County, Missouri 29037 0 46 -46
Christian County, Missouri 29043 24 0 24
Greene County, Missouri 29077 0 11 -11
Platte County, Missouri 29165 0 72 -72
Pulaski County, Missouri 29169 14 0 14
St. Louis city, Missouri 29510 17 8 9
Custer County, Montana 30017 0 6 -6
Gallatin County, Montana 30031 0 8 -8
Lincoln County, Montana 30053 12 0 12
Douglas County, Nebraska 31055 59 0 59
Scotts Bluff County, Nebraska 31157 3 0 3
Churchill County, Nevada 32001 18 0 18
Clark County, Nevada 32003 217 858 -641
Elko County, Nevada 32007 17 0 17
Washoe County, Nevada 32031 7 5 2
Carson City, Nevada 32510 4 0 4
Coos County, New Hampshire 33007 0 4 -4
Morris County, New Jersey 34027 12 0 12
Bernalillo County, New Mexico 35001 90 0 90
Sandoval County, New Mexico 35043 4 0 4
Santa Fe County, New Mexico 35049 0 25 -25
Valencia County, New Mexico 35061 0 34 -34
Dutchess County, New York 36027 0 8 -8
Erie County, New York 36029 4 0 4
Kings County, New York 36047 18 0 18
Nassau County, New York 36059 51 0 51
New York County, New York 36061 0 49 -49
Queens County, New York 36081 39 0 39
Suffolk County, New York 36103 37 0 37
Onslow County, North Carolina 37133 0 24 -24
Wilkes County, North Carolina 37193 63 0 63
Grand Forks County, North Dakota 38035 0 4 -4
Ramsey County, North Dakota 38071 0 5 -5
Fairfield County, Ohio 39045 11 0 11
Montgomery County, Ohio 39113 34 0 34
Warren County, Ohio 39165 27 0 27
Comanche County, Oklahoma 40031 38 0 38
Tulsa County, Oklahoma 40143 38 0 38
Benton County, Oregon 41003 0 38 -38
Clatsop County, Oregon 41007 0 30 -30
Coos County, Oregon 41011 5 0 5
Deschutes County, Oregon 41017 33 248 -215
Douglas County, Oregon 41019 0 15 -15
Jackson County, Oregon 41029 0 61 -61
Josephine County, Oregon 41033 0 17 -17
Klamath County, Oregon 41035 0 2 -2
Lane County, Oregon 41039 22 18 4
Lincoln County, Oregon 41041 0 3 -3
Marion County, Oregon 41047 0 164 -164
Multnomah County, Oregon 41051 41 74 -33
Polk County, Oregon 41053 10 0 10
Washington County, Oregon 41067 34 18 16
Yamhill County, Oregon 41071 0 3 -3
Allegheny County, Pennsylvania 42003 10 0 10
Berks County, Pennsylvania 42011 17 0 17
Cambria County, Pennsylvania 42021 0 5 -5
Clarion County, Pennsylvania 42031 0 11 -11
Juniata County, Pennsylvania 42067 0 2 -2
Northampton County, Pennsylvania 42095 0 18 -18
Philadelphia County, Pennsylvania 42101 0 28 -28
York County, Pennsylvania 42133 2 0 2
Newport County, Rhode Island 44005 32 0 32
Charleston County, South Carolina 45019 5 34 -29
Davidson County, Tennessee 47037 7 0 7
Lincoln County, Tennessee 47103 11 0 11
Collin County, Texas 48085 0 31 -31
Denton County, Texas 48121 0 7 -7
El Paso County, Texas 48141 0 133 -133
Guadalupe County, Texas 48187 0 27 -27
Harris County, Texas 48201 0 10 -10
Kerr County, Texas 48265 0 48 -48
Nacogdoches County, Texas 48347 0 28 -28
Nueces County, Texas 48355 9 33 -24
Tarrant County, Texas 48439 0 20 -20
Travis County, Texas 48453 3 17 -14
Salt Lake County, Utah 49035 113 39 74
Utah County, Utah 49049 34 63 -29
Washington County, Utah 49053 4 8 -4
Fairfax County, Virginia 51059 2 0 2
Montgomery County, Virginia 51121 13 0 13
Newport News city, Virginia 51700 5 0 5
Virginia Beach city, Virginia 51810 2 0 2
Williamsburg city, Virginia 51830 40 0 40
Chelan County, Washington 53007 0 8 -8
Clallam County, Washington 53009 0 14 -14
Clark County, Washington 53011 32 0 32
Island County, Washington 53029 13 0 13
King County, Washington 53033 84 142 -58
Pacific County, Washington 53049 17 0 17
Pierce County, Washington 53053 101 8 93
San Juan County, Washington 53055 10 0 10
Skagit County, Washington 53057 0 17 -17
Skamania County, Washington 53059 0 2 -2
Snohomish County, Washington 53061 21 137 -116
Stevens County, Washington 53065 34 0 34
Thurston County, Washington 53067 0 11 -11
Walla Walla County, Washington 53071 0 18 -18
Whatcom County, Washington 53073 6 74 -68
Brown County, Wisconsin 55009 0 36 -36
Buffalo County, Wisconsin 55011 0 1 -1
Chippewa County, Wisconsin 55017 23 0 23
Grant County, Wisconsin 55043 0 2 -2
Albany County, Wyoming 56001 0 1 -1
Laramie County, Wyoming 56021 0 4 -4
Teton County, Wyoming 56039 6 0 6
San Juan Municipio, Puerto Rico 72127 7 0 7
Hebron town, Oxford County, Maine 2301732370 0 11 -11
Dover town, Norfolk County, Massachusetts 2502117405 8 0 8
Needham town, Norfolk County, Massachusetts 2502144105 0 6 -6
Fitchburg city, Worcester County, Massachusetts 2502723875 16 0 16
Hastings city, Barry County, Michigan 2601537120 0 25 -25
Grand Ledge city, Eaton County, Michigan 2604533420 1 0 1
Grand Rapids city, Kent County, Michigan 2608134000 25 0 25
Adrian city, Lenawee County, Michigan 2609100440 29 0 29
Montague city, Muskegon County, Michigan 2612155100 0 6 -6
Southfield city, Oakland County, Michigan 2612574900 0 20 -20
Blaine city, Anoka County, Minnesota 2700306382 47 0 47
Minneapolis city, Hennepin County, Minnesota 2705343000 33 0 33
Fergus Falls city, Otter Tail County, Minnesota 2711120906 0 50 -50
St. Paul city, Ramsey County, Minnesota 2712358000 70 0 70
Shelburne town, Coos County, New Hampshire 3300768980 0 4 -4
Denville township, Morris County, New Jersey 3402717650 12 0 12
Milan town, Dutchess County, New York 3602747207 0 8 -8
Hamburg town, Erie County, New York 3602931654 4 0 4
Brooklyn borough, Kings County, New York 3604710022 18 0 18
Hempstead town, Nassau County, New York 3605934000 51 0 51
Manhattan borough, New York County, New York 3606144919 0 49 -49
Queens borough, Queens County, New York 3608160323 39 0 39
Huntington town, Suffolk County, New York 3610337000 19 0 19
Smithtown town, Suffolk County, New York 3610368000 18 0 18
Pittsburgh city, Allegheny County, Pennsylvania 4200361000 10 0 10
Exeter township, Berks County, Pennsylvania 4201124384 17 0 17
Portage borough, Cambria County, Pennsylvania 4202162048 0 5 -5
Porter township, Clarion County, Pennsylvania 4203162144 0 11 -11
Turbett township, Juniata County, Pennsylvania 4206777824 0 2 -2
Bethlehem city, Northampton County, Pennsylvania 4209506088 0 9 -9
Easton city, Northampton County, Pennsylvania 4209521648 0 9 -9
Philadelphia city, Philadelphia County, Pennsylvania 4210160000 0 28 -28
York city, York County, Pennsylvania 4213387048 2 0 2
Portsmouth town, Newport County, Rhode Island 4400557880 32 0 32
Howard village, Brown County, Wisconsin 5500935950 0 36 -36
Alma city, Buffalo County, Wisconsin 5501101225 0 1 -1
Chippewa Falls city, Chippewa County, Wisconsin 5501714575 23 0 23
Lima town, Grant County, Wisconsin 5504344050 0 2 -2

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 165,979    
..Male D002 82,633 49.8    
..Female D003 83,346 50.2    
..Sex ratio (males per 100 females) D004 99.1    
       
..Under 5 years D005 9,907 6.0    
..5 to 9 years D006 10,723 6.5    
..10 to 14 years D007 9,722 5.9    
..15 to 19 years D008 9,261 5.6    
..20 to 24 years D009 8,249 5.0    
..25 to 34 years D010 20,959 12.6    
..35 to 44 years D011 22,202 13.4    
..45 to 54 years D012 22,058 13.3    
..55 to 59 years D013 12,682 7.6    
..60 to 64 years D014 11,121 6.7    
..65 to 74 years D015 17,976 10.8    
..75 to 84 years D016 7,815 4.7    
..85 years and over D017 3,304 2.0    
       
..Median age (years) D018 41.2    
       
..Under 18 years D019 36,418 21.9    
..16 years and over D020 132,991 80.1    
..18 years and over D021 129,561 78.1    
..21 years and over D022 124,901 75.3    
..62 years and over D023 36,062 21.7    
..65 years and over D024 29,095 17.5    
       
..18 years and over D025 129,561    
...Male D026 63,877 49.3    
...Female D027 65,684 50.7    
...Sex ratio (males per 100 females) D028 97.2    
       
..65 years and over D029 29,095    
...Male D030 13,650 46.9    
...Female D031 15,445 53.1    
...Sex ratio (males per 100 females) D032 88.4    
       
RACE        
.Total population D033 165,979    
..One race D034 129,697 78.1    
..Two or more races D035 36,282 21.9    
       
..One race D036 129,697 78.1    
...White D037 58,891 35.5    
...Black or African American D038 845 0.5    
...American Indian and Alaska Native D039 424 0.3    
....Cherokee tribal grouping D040 55 0.0    
....Chippewa tribal grouping D041 0    
....Navajo tribal grouping D042 0    
....Sioux tribal grouping D043 17 0.0    
...Asian D044 48,579 29.3    
....Asian Indian D045 231 0.1    
....Chinese D046 1,470 0.9    
....Filipino D047 31,233 18.8    
....Japanese D048 10,600 6.4    
....Korean D049 936 0.6    
....Vietnamese D050 617 0.4    
....Other Asian D051 3,492 2.1    
...Native Hawaiian and Other Pacific Islander D052 18,093 10.9    
....Native Hawaiian D053 13,580 8.2    
....Guamanian or Chamorro D054 120 0.1    
....Samoan D055 427 0.3    
....Other Pacific Islander D056 3,966 2.4    
...Some other race D057 2,865 1.7    
..Two or more races D058 36,282 21.9    
...White and Black or African American D059 849 0.5    
...White and American Indian and Alaska Native D060 1,309 0.8    
...White and Asian D061 8,112 4.9    
...Black or African American and American Indian and Alaska Native D062 37 0.0    
       
Race alone or in combination with one or more other races        
.Total population D063 165,979    
..White D064 86,432 52.1    
..Black or African American D065 3,118 1.9    
..American Indian and Alaska Native D066 4,032 2.4    
..Asian D067 77,212 46.5    
..Native Hawaiian and Other Pacific Islander D068 42,437 25.6    
..Some other race D069 4,029 2.4    
       
HISPANIC OR LATINO AND RACE        
.Total population D070 165,979    
..Hispanic or Latino (of any race) D071 18,812 11.3    
...Mexican D072 8,405 5.1    
...Puerto Rican D073 5,067 3.1    
...Cuban D074 90 0.1    
...Other Hispanic or Latino D075 5,250 3.2    
..Not Hispanic or Latino D076 147,167 88.7    
...White alone D077 50,182 30.2    
...Black or African American alone D078 768 0.5    
...American Indian and Alaska Native alone D079 307 0.2    
...Asian alone D080 47,782 28.8    
...Native Hawaiian and Other Pacific Islander alone D081 17,267 10.4    
...Some other race alone D082 687 0.4    
...Two or more races D083 30,174 18.2    
....Two races including Some other race D084 183 0.1    
....Two races excluding Some other race, and Three or more races D085 29,991 18.1    
       
.Total housing units D086 73,169    
       
CITIZEN, VOTING AGE POPULATION        
.Citizen, 18 and over population D087 116,890    
..Male D088 58,048 49.7    
..Female D089 58,842 50.3    


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 54,479    
..Married-couple family S002 28,014 51.4    
...With own children of the householder under 18 years S003 9,416 17.3    
..Cohabiting couple household S004 3,701 6.8    
...With own children of the householder under 18 years S005 1,316 2.4    
..Male householder, no spouse/partner present S006 9,492 17.4    
...With own children of the householder under 18 years S007 786 1.4    
...Householder living alone S008 5,910 10.8    
....65 years and over S009 1,924 3.5    
..Female householder, no spouse/partner present S010 13,272 24.4    
...With own children of the householder under 18 years S011 1,966 3.6    
...Householder living alone S012 6,507 11.9    
....65 years and over S013 3,372 6.2    
       
..Households with one or more people under 18 years S014 17,413 32.0    
..Households with one or more people 65 years and over S015 20,323 37.3    
       
..Average household size S016 3.0    
..Average family size S017 3.5    
       
RELATIONSHIP        
.Population in households S018 163,170    
..Householder S019 54,479 33.4    
..Spouse S020 28,003 17.2    
..Unmarried partner S021 3,695 2.3    
..Child S022 42,655 26.1    
..Other relatives S023 24,030 14.7    
..Other nonrelatives S024 10,308 6.3    
       
MARITAL STATUS        
.Males 15 years and over S025 66,871    
..Never married S026 23,939 35.8    
..Now married, except separated S027 34,197 51.1    
..Separated S028 803 1.2    
..Widowed S029 1,468 2.2    
..Divorced S030 6,464 9.7    
       
.Females 15 years and over S031 68,756    
..Never married S032 19,599 28.5    
..Now married, except separated S033 33,608 48.9    
..Separated S034 1,207 1.8    
..Widowed S035 6,311 9.2    
..Divorced S036 8,031 11.7    
       
FERTILITY        
.Number of women 15 to 50 years old who had a birth in the past 12 months S037 1,787    
..Unmarried women (widowed, divorced, and never married) S038 638 35.7    
...Per 1,000 unmarried women S039 31    
..Per 1,000 women 15 to 50 years old S040 48    
..Per 1,000 women 15 to 19 years old S041 9    
..Per 1,000 women 20 to 34 years old S042 88    
..Per 1,000 women 35 to 50 years old S043 26    
       
GRANDPARENTS        
.Number of grandparents living with own grandchildren under 18 years S044 6,833    
..Grandparents responsible for grandchildren S045 1,327 19.4    
..Years responsible for grandchildren
...Less than 1 year S046 126 1.8    
...1 or 2 years S047 315 4.6    
...3 or 4 years S048 179 2.6    
...5 or more years S049 707 10.3    
       
.Number of grandparents responsible for own grandchildren under 18 years S050 1,327    
..Who are female S051 730 55.0    
..Who are married S052 907 68.3    
       
SCHOOL ENROLLMENT        
.Population 3 years and over enrolled in school S053 34,154    
..Nursery school, preschool S054 2,644 7.7    
..Kindergarten S055 2,150 6.3    
..Elementary school (grades 1-8) S056 15,360 45.0    
..High school (grades 9-12) S057 7,450 21.8    
..College or graduate school S058 6,550 19.2    
       
EDUCATIONAL ATTAINMENT        
.Population 25 years and over S059 118,117    
..Less than 9th grade S060 4,416 3.7    
..9th to 12th grade, no diploma S061 5,057 4.3    
..High school graduate (includes equivalency) S062 36,912 31.3    
..Some college, no degree S063 27,584 23.4    
..Associate's degree S064 12,029 10.2    
..Bachelor's degree S065 21,366 18.1    
..Graduate or professional degree S066 10,753 9.1    
       
..High school graduate or higher S067 108,644 92.0    
..Bachelor's degree or higher S068 32,119 27.2    
       
VETERAN STATUS        
.Civilian population 18 years and over S069 129,194    
..Civilian veterans S070 8,692 6.7    
       
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION        
.Total Civilian Noninstitutionalized Population S071 164,492    
..With a disability S072 15,844 9.6    
       
.Under 18 years S073 36,417    
..With a disability S074 1,028 2.8    
       
.18 to 64 years S075 99,298    
..With a disability S076 6,658 6.7    
       
.65 years and over S077 28,777    
..With a disability S078 8,158 28.3    
       
RESIDENCE 1 YEAR AGO        
.Population 1 year and over S079 164,374    
..Same house S080 145,258 88.4    
..Different house in the U.S. S081 17,315 10.5    
...Same county S082 10,734 6.5    
...Different county S083 6,581 4.0    
....Same state S084 2,187 1.3    
....Different state S085 4,394 2.7    
..Abroad S086 1,801 1.1    
       
PLACE OF BIRTH        
.Total population S087 165,979    
..Native S088 134,933 81.3    
...Born in United States S089 131,474 79.2    
....State of residence S090 83,528 50.3    
....Different state S091 47,946 28.9    
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s) S092 3,459 2.1    
..Foreign born S093 31,046 18.7    
       
U.S. CITIZENSHIP STATUS        
.Foreign-born population S094 31,046    
..Naturalized U.S. citizen S095 17,026 54.8    
..Not a U.S. citizen S096 14,020 45.2    
       
YEAR OF ENTRY        
.Population born outside the United States S097 34,505    
       
..Native S098 3,459    
...Entered 2010 or later S099 823 23.8    
...Entered before 2010 S100 2,636 76.2    
       
..Foreign born S101 31,046    
...Entered 2010 or later S102 6,356 20.5    
...Entered before 2010 S103 24,690 79.5    
       
WORLD REGION OF BIRTH OF FOREIGN BORN        
.Foreign-born population, excluding population born at sea S104 31,046    
..Europe S105 1,664 5.4    
..Asia S106 22,139 71.3    
..Africa S107 130 0.4    
..Oceania S108 2,273 7.3    
..Latin America S109 3,822 12.3    
..Northern America S110 1,018 3.3    
       
LANGUAGE SPOKEN AT HOME        
.Population 5 years and over S111 156,072    
..English only S112 120,418 77.2    
..Language other than English S113 35,654 22.8    
...Speak English less than very well" " S114 16,530 10.6    
..Spanish S115 5,896 3.8    
...Speak English less than very well" " S116 2,203 1.4    
..Other Indo-European languages S117 1,647 1.1    
...Speak English less than very well" " S118 294 0.2    
..Asian and Pacific Islander languages S119 27,466 17.6    
...Speak English less than very well" " S120 14,017 9.0    
..Other languages S121 645 0.4    
...Speak English less than very well" " S122 16 0.0    
       
ANCESTRY        
.Total population S123 165,979    
..American S124 1,998 1.2    
..Arab S125 176 0.1    
..Czech S126 267 0.2    
..Danish S127 703 0.4    
..Dutch S128 1,173 0.7    
..English S129 7,707 4.6    
..French (except Basque) S130 2,372 1.4    
..French Canadian S131 315 0.2    
..German S132 10,241 6.2    
..Greek S133 324 0.2    
..Hungarian S134 586 0.4    
..Irish S135 8,187 4.9    
..Italian S136 4,111 2.5    
..Lithuanian S137 257 0.2    
..Norwegian S138 1,763 1.1    
..Polish S139 1,895 1.1    
..Portuguese S140 6,494 3.9    
..Russian S141 973 0.6    
..Scotch-Irish S142 1,062 0.6    
..Scottish S143 2,367 1.4    
..Slovak S144 100 0.1    
..Subsaharan African S145 206 0.1    
..Swedish S146 1,674 1.0    
..Swiss S147 390 0.2    
..Ukrainian S148 157 0.1    
..Welsh S149 683 0.4    
..West Indian (excluding Hispanic origin groups) S150 147 0.1    
       
COMPUTERS AND INTERNET USE        
.Total households S151 54,479    
..With a computer S152 49,785 91.4    
..With a broadband Internet subscription S153 45,772 84.0    


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 132,991    
..In labor force E002 88,797 66.8    
...Civilian labor force E003 88,430 66.5    
....Employed E004 84,899 63.8    
....Unemployed E005 3,531 2.7    
...Armed Forces E006 367 0.3    
..Not in labor force E007 44,194 33.2    
       
.Civilian labor force E008 88,430    
..Unemployment Rate E009 4.0    
       
.Females 16 years and over E010 67,593    
..In labor force E011 43,387 64.2    
...Civilian labor force E012 43,312 64.1    
....Employed E013 41,618 61.6    
       
.Own children of the householder under 6 years E014 11,245    
..All parents in family in labor force E015 8,410 74.8    
       
.Own children of the householder 6 to 17 years E016 21,777    
..All parents in family in labor force E017 16,938 77.8    
       
COMMUTING TO WORK        
.Workers 16 years and over E018 83,031    
..Car, truck, or van -- drove alone E019 61,614 74.2    
..Car, truck, or van -- carpooled E020 10,931 13.2    
..Public transportation (excluding taxicab) E021 1,984 2.4    
..Walked E022 2,017 2.4    
..Other means E023 1,571 1.9    
..Worked from home E024 4,914 5.9    
       
..Mean travel time to work (minutes) E025 21.3    
       
OCCUPATION        
.Civilian employed population 16 years and over E026 84,899    
..Management, business, science, and arts occupations E027 25,679 30.2    
..Service occupations E028 24,202 28.5    
..Sales and office occupations E029 18,587 21.9    
..Natural resources, construction, and maintenance occupations E030 8,190 9.6    
..Production, transportation, and material moving occupations E031 8,241 9.7    
       
INDUSTRY        
.Civilian employed population 16 years and over E032 84,899    
..Agriculture, forestry, fishing and hunting, and mining E033 1,304 1.5    
..Construction E034 6,592 7.8    
..Manufacturing E035 2,047 2.4    
..Wholesale trade E036 2,010 2.4    
..Retail trade E037 9,916 11.7    
..Transportation and warehousing, and utilities E038 4,176 4.9    
..Information E039 1,155 1.4    
..Finance and insurance, and real estate and rental and leasing E040 6,035 7.1    
..Professional, scientific, and management, and administrative and waste management services E041 8,969 10.6    
..Educational services, and health care and social assistance E042 14,280 16.8    
..Arts, entertainment, and recreation, and accommodation and food services E043 19,455 22.9    
..Other services, except public administration E044 3,850 4.5    
..Public administration E045 5,110 6.0    
       
CLASS OF WORKER        
.Civilian employed population 16 years and over E046 84,899    
..Private wage and salary workers E047 65,608 77.3    
..Government workers E048 11,969 14.1    
..Self-employed in own not incorporated business workers E049 7,102 8.4    
..Unpaid family workers E050 220 0.3    
       
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS)        
.Total households E051 54,479    
..Less than $10,000 E052 2,708 5.0    
..$10,000 to $14,999 E053 1,419 2.6    
..$15,000 to $24,999 E054 3,253 6.0    
..$25,000 to $34,999 E055 3,586 6.6    
..$35,000 to $49,999 E056 5,078 9.3    
..$50,000 to $74,999 E057 9,199 16.9    
..$75,000 to $99,999 E058 8,494 15.6    
..$100,000 to $149,999 E059 10,171 18.7    
..$150,000 to $199,999 E060 5,415 9.9    
..$200,000 or more E061 5,156 9.5    
..Median household income (dollars) E062 80,948    
..Mean household income (dollars) E063 102,759    
       
..With earnings E064 43,653 80.1    
...Mean earnings (dollars) E065 97,704    
..With Social Security E066 20,246 37.2    
...Mean Social Security income (dollars) E067 20,624    
..With retirement income E068 12,804 23.5    
...Mean retirement income (dollars) E069 27,122    
       
..With Supplemental Security Income E070 1,982 3.6    
...Mean Supplemental Security Income (dollars) E071 10,122    
..With cash public assistance income E072 1,324 2.4    
...Mean cash public assistance income (dollars) E073 4,681    
..With Food Stamp/SNAP benefits in the past 12 months E074 5,077 9.3    
       
.Families E075 38,249    
..Less than $10,000 E076 1,205 3.2    
..$10,000 to $14,999 E077 425 1.1    
..$15,000 to $24,999 E078 1,577 4.1    
..$25,000 to $34,999 E079 1,957 5.1    
..$35,000 to $49,999 E080 2,941 7.7    
..$50,000 to $74,999 E081 6,788 17.7    
..$75,000 to $99,999 E082 6,838 17.9    
..$100,000 to $149,999 E083 8,322 21.8    
..$150,000 to $199,999 E084 4,258 11.1    
..$200,000 or more E085 3,938 10.3    
..Median family income (dollars) E086 89,609    
..Mean family income (dollars) E087 112,862    
       
.Per capita income (dollars) E088 35,241    
       
.Nonfamily households E089 16,230    
..Median nonfamily income (dollars) E090 45,219    
..Mean nonfamily income (dollars) E091 65,888    
       
.Median earnings for workers (dollars) E092 37,745    
.Median earnings for male full-time, year-round workers (dollars) E093 50,682    
.Median earnings for female full-time, year-round workers (dollars) E094 42,157    
       
HEALTH INSURANCE COVERAGE        
.Civilian noninstitutionalized population E095 164,492    
..With health insurance coverage E096 156,328 95.0    
...With private health insurance E097 121,611 73.9    
...With public coverage E098 55,909 34.0    
..No health insurance coverage E099 8,164 5.0    
       
.Civilian noninstitutionalized population under 19 years E100 38,114    
..No health insurance coverage E101 1,267 3.3    
       
.Civilian noninstitutionalized population 19 to 64 years E102 97,601    
..In labor force: E103 79,946    
...Employed: E104 76,770    
....With health insurance coverage E105 72,633 94.6    
.....With private health insurance E106 67,372 87.8    
.....With public coverage E107 7,199 9.4    
....No health insurance coverage E108 4,137 5.4    
...Unemployed: E109 3,176    
....With health insurance coverage E110 2,665 83.9    
.....With private health insurance E111 1,548 48.7    
.....With public coverage E112 1,194 37.6    
....No health insurance coverage E113 511 16.1    
..Not in labor force: E114 17,655    
...With health insurance coverage E115 15,761 89.3    
....With private health insurance E116 9,934 56.3    
....With public coverage E117 7,136 40.4    
...No health insurance coverage E118 1,894 10.7    
       
PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL        
.All families E119 6.5    
..With related children of the householder under 18 years E120 8.4    
...With related children of the householder under 5 years only E121 8.6    
..Married couple families E122 4.2    
...With related children of the householder under 18 years E123 4.3    
....With related children of the householder under 5 years only E124 1.2    
..Families with female householder, no spouse present E125 15.5    
...With related children of the householder under 18 years E126 21.0    
....With related children of the householder under 5 years only E127 30.1    
       
.All people E128 9.3    
..Under 18 years E129 10.7    
...Related children of the householder under 18 years E130 10.0    
....Related children of the householder under 5 years E131 13.6    
....Related children of the householder 5 to 17 years E132 8.6    
..18 years and over E133 8.9    
...18 to 64 years E134 9.1    
...65 years and over E135 8.1    
..People in families E136 6.2    
..Unrelated individuals 15 years and over E137 22.7    


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\15009bp.csv.
Units in StructureJan-20Feb-20Mar-20Apr-20May-20Jun-20Jul-20Aug-20Sep-20Oct-20Nov-20Dec-20
Single Family, Buildings 18 17 22 24 26 36 27 34 30 21 27 24
Single Family, Units 18 17 22 24 26 36 27 34 30 21 27 24
Single Family, Value 7,598 14,634 7,603 10,430 8,717 35,129 11,147 9,233 9,821 6,480 7,717 6,812
2 Unit, Buildings 3 1 0 1 0 0 1 0 0 1 0 1
2 Unit, Units 6 2 0 2 0 0 2 0 0 2 0 2
2 Unit, Value 1,139 300 0 500 0 0 325 0 0 427 0 500
3-4 Unit, Buildings 0 0 0 0 0 0 0 0 0 0 8 0
3-4 Unit, Units 0 0 0 0 0 0 0 0 0 0 32 0
3-4 Unit, Value 0 0 0 0 0 0 0 0 0 0 8,000 0
5+ Unit, Buildings 0 0 0 0 0 1 0 0 0 0 1 0
5+ Unit, Units 0 0 0 0 0 83 0 0 0 0 89 0
5+ Unit, Value 0 0 0 0 0 21,510 0 0 0 0 36,956 0

Units in StructureJan-21Feb-21Mar-21Apr-21May-21Jun-21Jul-21Aug-21Sep-21Oct-21Nov-21Dec-21
Single Family, Buildings 22 40 53 32 14 28 0 0 0 0 0 0
Single Family, Units 22 40 53 32 14 28 0 0 0 0 0 0
Single Family, Value 9,080 9,285 23,530 15,422 4,688 11,553 0 0 0 0 0 0
2 Unit, Buildings 0 0 1 0 1 1 0 0 0 0 0 0
2 Unit, Units 0 0 2 0 2 2 0 0 0 0 0 0
2 Unit, Value 0 0 150 0 167 172 0 0 0 0 0 0
3-4 Unit, Buildings 0 0 0 3 0 1 0 0 0 0 0 0
3-4 Unit, Units 0 0 0 9 0 4 0 0 0 0 0 0
3-4 Unit, Value 0 0 0 38,766 0 691 0 0 0 0 0 0
5+ Unit, Buildings 0 0 0 0 5 1 0 0 0 0 0 0
5+ Unit, Units 0 0 0 0 32 8 0 0 0 0 0 0
5+ Unit, Value 0 0 0 0 4,373 985 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 73,169    
..Occupied housing units H002 54,479 74.5    
..Vacant housing units H003 18,690 25.5    
       
..Homeowner vacancy rate H004 1.6    
..Rental vacancy rate H005 28.4    
       
UNITS IN STRUCTURE        
.Total housing units H006 73,169    
..1-unit, detached H007 42,037 57.5    
..1-unit, attached H008 4,467 6.1    
..2 units H009 2,125 2.9    
..3 or 4 units H010 3,620 4.9    
..5 to 9 units H011 5,287 7.2    
..10 to 19 units H012 4,292 5.9    
..20 or more units H013 10,991 15.0    
..Mobile home H014 284 0.4    
..Boat, RV, van, etc. H015 66 0.1    
       
YEAR STRUCTURE BUILT        
.Total housing units H016 73,169    
..Built 2014 or later H017 1,074 1.5    
..Built 2010 to 2013 H018 1,976 2.7    
..Built 2000 to 2009 H019 12,298 16.8    
..Built 1990 to 1999 H020 11,864 16.2    
..Built 1980 to 1989 H021 15,272 20.9    
..Built 1970 to 1979 H022 17,366 23.7    
..Built 1960 to 1969 H023 5,821 8.0    
..Built 1950 to 1959 H024 3,399 4.6    
..Built 1940 to 1949 H025 1,334 1.8    
..Built 1939 or earlier H026 2,765 3.8    
       
ROOMS        
.Total housing units H027 73,169    
..1 room H028 3,856 5.3    
..2 rooms H029 8,688 11.9    
..3 rooms H030 13,667 18.7    
..4 rooms H031 14,198 19.4    
..5 rooms H032 13,481 18.4    
..6 rooms H033 8,178 11.2    
..7 rooms H034 4,691 6.4    
..8 rooms H035 2,789 3.8    
..9 rooms or more H036 3,621 4.9    
..Median rooms H037 4.2    
       
BEDROOMS        
.Total housing units H038 73,169    
..No bedroom H039 4,074 5.6    
..1 bedroom H040 11,556 15.8    
..2 bedrooms H041 20,566 28.1    
..3 bedrooms H042 24,743 33.8    
..4 bedrooms H043 9,289 12.7    
..5 or more bedrooms H044 2,941 4.0    
       
HOUSING TENURE        
.Occupied housing units H045 54,479    
..Owner-occupied H046 33,259 61.0    
..Renter-occupied H047 21,220 39.0    
       
..Average household size of owner-occupied unit H048 3.1    
..Average household size of renter-occupied unit H049 2.8    
       
YEAR HOUSEHOLDER MOVED INTO UNIT        
.Occupied housing units H050 54,479    
..Moved in 2017 or later H051 4,427 8.1    
..Moved in 2015 to 2016 H052 7,650 14.0    
..Moved in 2010 to 2014 H053 13,253 24.3    
..Moved in 2000 to 2009 H054 13,554 24.9    
..Moved in 1990 to 1999 H055 6,884 12.6    
..Moved in 1989 and earlier H056 8,711 16.0    
       
VEHICLES AVAILABLE        
.Occupied housing units H057 54,479    
..No vehicles available H058 2,553 4.7    
..1 vehicle available H059 17,065 31.3    
..2 vehicles available H060 20,378 37.4    
..3 or more vehicles available H061 14,483 26.6    
       
HOUSE HEATING FUEL        
.Occupied housing units H062 54,479    
..Utility gas H063 513 0.9    
..Bottled, tank, or LP gas H064 1,201 2.2    
..Electricity H065 14,929 27.4    
..Fuel oil, kerosene, etc. H066 36 0.1    
..Coal or coke H067 46 0.1    
..Wood H068 344 0.6    
..Solar energy H069 2,646 4.9    
..Other fuel H070 34 0.1    
..No fuel used H071 34,730 63.7    
       
SELECTED CHARACTERISTICS        
.Occupied housing units H072 54,479    
..Lacking complete plumbing facilities H073 307 0.6    
..Lacking complete kitchen facilities H074 987 1.8    
..No telephone service available H075 1,148 2.1    
       
OCCUPANTS PER ROOM        
.Occupied housing units H076 54,479    
..1.00 or less H077 48,844 89.7    
..1.01 to 1.50 H078 3,448 6.3    
..1.51 or more H079 2,187 4.0    
       
VALUE        
.Owner-occupied units H080 33,259    
..Less than $50,000 H081 353 1.1    
..$50,000 to $99,999 H082 309 0.9    
..$100,000 to $149,999 H083 394 1.2    
..$150,000 to $199,999 H084 483 1.5    
..$200,000 to $299,999 H085 1,754 5.3    
..$300,000 to $499,999 H086 7,196 21.6    
..$500,000 to $999,999 H087 17,725 53.3    
..$1,000,000 or more H088 5,045 15.2    
..Median (dollars) H089 633,500    
       
MORTGAGE STATUS        
.Owner-occupied units H090 33,259    
..Housing units with a mortgage H091 22,433 67.4    
..Housing units without a mortgage H092 10,826 32.6    
       
SELECTED MONTHLY OWNER COSTS (SMOC)        
.Housing units with a mortgage H093 22,433    
..Less than $500 H094 116 0.5    
..$500 to $999 H095 1,201 5.4    
..$1,000 to $1,499 H096 2,437 10.9    
..$1,500 to $1,999 H097 3,609 16.1    
..$2,000 to $2,499 H098 4,463 19.9    
..$2,500 to $2,999 H099 3,703 16.5    
..$3,000 or more H100 6,904 30.8    
..Median (dollars) H101 2,432    
       
.Housing units without a mortgage H102 10,826    
..Less than $250 H103 1,623 15.0    
..$250 to $399 H104 2,868 26.5    
..$400 to $599 H105 2,636 24.3    
..$600 to $799 H106 1,594 14.7    
..$800 to $999 H107 859 7.9    
..$1,000 or more H108 1,246 11.5    
..Median (dollars) H109 456    
       
SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI)        
.Housing units with a mortgage (excluding units where SMOCAPI cannot be computed) H110 22,297    
..Less than 20.0 percent H111 7,494 33.6    
..20.0 to 24.9 percent H112 2,613 11.7    
..25.0 to 29.9 percent H113 2,520 11.3    
..30.0 to 34.9 percent H114 1,910 8.6    
..35.0 percent or more H115 7,760 34.8    
       
..Not computed H116 136    
       
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed) H117 10,667    
..Less than 10.0 percent H118 6,323 59.3    
..10.0 to 14.9 percent H119 1,481 13.9    
..15.0 to 19.9 percent H120 915 8.6    
..20.0 to 24.9 percent H121 485 4.5    
..25.0 to 29.9 percent H122 264 2.5    
..30.0 to 34.9 percent H123 284 2.7    
..35.0 percent or more H124 915 8.6    
       
..Not computed H125 159    
       
GROSS RENT        
.Occupied units paying rent H126 19,441    
..Less than $500 H127 1,504 7.7    
..$500 to $999 H128 2,593 13.3    
..$1,000 to $1,499 H129 5,526 28.4    
..$1,500 to $1,999 H130 4,804 24.7    
..$2,000 to $2,499 H131 2,928 15.1    
..$2,500 to $2,999 H132 1,087 5.6    
..$3,000 or more H133 999 5.1    
..Median (dollars) H134 1,510    
       
..No rent paid H135 1,779    
       
GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI)        
.Occupied units paying rent (excluding units where GRAPI cannot be computed) H136 19,190    
..Less than 15.0 percent H137 2,417 12.6    
..15.0 to 19.9 percent H138 2,530 13.2    
..20.0 to 24.9 percent H139 2,405 12.5    
..25.0 to 29.9 percent H140 2,477 12.9    
..30.0 to 34.9 percent H141 1,674 8.7    
..35.0 percent or more H142 7,687 40.1    
       
..Not computed H143 2,030    


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 7,032 100.0 64,576 100.0 777,382,406 100.0 926
Total, Federal 10 1 42 0.6 844 1.3 13,819,524 1.8 1,259
Total, State 10 2 495 7.0 0 0.0 0 0.0 0
Total, Local 10 3 192 2.7 0 0.0 0 0.0 0
Total, Private 10 5 6,303 89.6 56,105 86.9 643,001,270 82.7 882
Agriculture, forestry, fishing and hunting 11 5 85 1.2 0 0.0 0 0.0 0
Crop production 111 5 64 0.9 790 1.2 8,910,582 1.1 867
Animal production 112 5 14 0.2 102 0.2 893,873 0.1 676
Agriculture and forestry support activities 115 5 7 0.1 0 0.0 0 0.0 0
Mining 21 5 2 0.0 0 0.0 0 0.0 0
Mining, except oil and gas 212 5 2 0.0 0 0.0 0 0.0 0
Utilities 22 3 27 0.4 308 0.5 5,536,611 0.7 1,383
Utilities 22 5 23 0.3 456 0.7 11,414,260 1.5 1,924
Utilities 221 3 27 0.4 308 0.5 5,536,611 0.7 1,383
Utilities 221 5 23 0.3 456 0.7 11,414,260 1.5 1,924
Construction 23 3 14 0.2 0 0.0 0 0.0 0
Construction 23 5 676 9.6 4,128 6.4 67,710,810 8.7 1,262
Construction of buildings 236 5 237 3.4 1,453 2.3 23,670,272 3.0 1,253
Heavy and civil engineering construction 237 3 14 0.2 0 0.0 0 0.0 0
Heavy and civil engineering construction 237 5 40 0.6 490 0.8 11,664,322 1.5 1,832
Specialty trade contractors 238 5 399 5.7 2,186 3.4 32,376,216 4.2 1,139
Manufacturing 31-33 5 163 2.3 933 1.4 10,368,330 1.3 855
Food manufacturing 311 5 53 0.8 343 0.5 2,527,832 0.3 566
Beverage and tobacco product manufacturing 312 5 13 0.2 115 0.2 1,228,648 0.2 824
Textile product mills 314 5 7 0.1 11 0.0 142,844 0.0 999
Apparel manufacturing 315 5 4 0.1 0 0.0 0 0.0 0
Wood product manufacturing 321 5 2 0.0 0 0.0 0 0.0 0
Printing and related support activities 323 5 13 0.2 34 0.1 223,439 0.0 511
Petroleum and coal products manufacturing 324 5 1 0.0 0 0.0 0 0.0 0
Chemical manufacturing 325 5 10 0.1 74 0.1 1,009,794 0.1 1,054
Nonmetallic mineral product manufacturing 327 5 15 0.2 163 0.3 3,024,521 0.4 1,427
Fabricated metal product manufacturing 332 5 3 0.0 0 0.0 0 0.0 0
Machinery manufacturing 333 5 1 0.0 0 0.0 0 0.0 0
Computer and electronic product manufacturing 334 5 1 0.0 0 0.0 0 0.0 0
Furniture and related product manufacturing 337 5 11 0.2 65 0.1 822,151 0.1 973
Miscellaneous manufacturing 339 5 29 0.4 59 0.1 493,747 0.1 647
Wholesale trade 42 5 184 2.6 1,241 1.9 16,546,006 2.1 1,025
Merchant wholesalers, durable goods 423 5 74 1.1 358 0.6 5,345,390 0.7 1,149
Merchant wholesalers, nondurable goods 424 5 84 1.2 829 1.3 10,740,006 1.4 997
Electronic markets and agents and brokers 425 5 26 0.4 55 0.1 460,610 0.1 648
Retail trade 44-45 5 801 11.4 8,516 13.2 72,439,064 9.3 654
Motor vehicle and parts dealers 441 5 50 0.7 704 1.1 10,221,670 1.3 1,117
Furniture and home furnishings stores 442 5 35 0.5 174 0.3 1,842,026 0.2 814
Electronics and appliance stores 443 5 14 0.2 67 0.1 1,122,780 0.1 1,289
Building material and garden supply stores 444 5 37 0.5 746 1.2 7,011,128 0.9 723
Food and beverage stores 445 5 101 1.4 2,447 3.8 19,436,194 2.5 611
Health and personal care stores 446 5 60 0.9 536 0.8 5,191,596 0.7 745
Gasoline stations 447 5 41 0.6 366 0.6 2,648,231 0.3 556
Clothing and clothing accessories stores 448 5 219 3.1 910 1.4 5,592,594 0.7 473
Sporting goods, hobby, book and music stores 451 5 50 0.7 339 0.5 1,936,782 0.2 440
General merchandise stores 452 5 21 0.3 1,698 2.6 13,247,697 1.7 600
Miscellaneous store retailers 453 5 140 2.0 492 0.8 3,725,576 0.5 582
Nonstore retailers 454 5 33 0.5 37 0.1 462,790 0.1 962
Transportation and warehousing 48-49 1 18 0.3 251 0.4 4,276,446 0.6 1,312
Transportation and warehousing 48-49 5 204 2.9 3,164 4.9 30,548,877 3.9 743
Air transportation 481 5 11 0.2 662 1.0 6,429,616 0.8 747
Water transportation 483 5 5 0.1 0 0.0 0 0.0 0
Truck transportation 484 5 30 0.4 318 0.5 3,844,192 0.5 931
Transit and ground passenger transportation 485 5 23 0.3 279 0.4 1,455,408 0.2 401
Scenic and sightseeing transportation 487 5 83 1.2 728 1.1 6,206,979 0.8 656
Support activities for transportation 488 5 36 0.5 920 1.4 8,609,618 1.1 720
Postal service 491 1 18 0.3 251 0.4 4,276,446 0.6 1,312
Postal service 491 5 1 0.0 0 0.0 0 0.0 0
Couriers and messengers 492 5 12 0.2 171 0.3 2,125,243 0.3 956
Warehousing and storage 493 5 3 0.0 0 0.0 0 0.0 0
Information 51 2 19 0.3 40 0.1 459,833 0.1 884
Information 51 5 152 2.2 427 0.7 10,298,534 1.3 1,855
Publishing industries, except Internet 511 5 59 0.8 109 0.2 2,402,636 0.3 1,701
Motion picture and sound recording industries 512 5 22 0.3 0 0.0 0 0.0 0
Broadcasting, except Internet 515 5 3 0.0 0 0.0 0 0.0 0
Telecommunications 517 5 20 0.3 206 0.3 4,393,716 0.6 1,643
ISPs, search portals, and data processing 518 5 42 0.6 37 0.1 1,637,304 0.2 3,374
Other information services 519 2 19 0.3 40 0.1 459,833 0.1 884
Other information services 519 5 6 0.1 0 0.0 0 0.0 0
Finance and insurance 52 1 2 0.0 2 0.0 48,564 0.0 1,601
Finance and insurance 52 5 195 2.8 830 1.3 17,804,295 2.3 1,650
Credit intermediation and related activities 522 1 2 0.0 2 0.0 48,564 0.0 1,601
Credit intermediation and related activities 522 5 102 1.5 610 0.9 12,396,959 1.6 1,563
Securities, commodity contracts, investments 523 5 26 0.4 43 0.1 2,251,918 0.3 4,060
Insurance carriers and related activities 524 5 59 0.8 166 0.3 3,022,852 0.4 1,401
Funds, trusts, and other financial vehicles 525 5 8 0.1 11 0.0 132,566 0.0 900
Real estate and rental and leasing 53 5 360 5.1 1,537 2.4 19,486,114 2.5 975
Real estate 531 5 260 3.7 933 1.4 13,754,331 1.8 1,134
Rental and leasing services 532 5 100 1.4 604 0.9 5,731,783 0.7 730
Professional and technical services 54 2 1 0.0 0 0.0 0 0.0 0
Professional and technical services 54 3 3 0.0 0 0.0 0 0.0 0
Professional and technical services 54 5 628 8.9 1,544 2.4 26,689,563 3.4 1,329
Professional and technical services 541 2 1 0.0 0 0.0 0 0.0 0
Professional and technical services 541 3 3 0.0 0 0.0 0 0.0 0
Professional and technical services 541 5 628 8.9 1,544 2.4 26,689,563 3.4 1,329
Management of companies and enterprises 55 5 49 0.7 225 0.3 5,443,118 0.7 1,861
Management of companies and enterprises 551 5 49 0.7 225 0.3 5,443,118 0.7 1,861
Administrative and waste services 56 2 2 0.0 0 0.0 0 0.0 0
Administrative and waste services 56 3 11 0.2 0 0.0 0 0.0 0
Administrative and waste services 56 5 487 6.9 4,203 6.5 37,418,950 4.8 685
Administrative and support services 561 2 2 0.0 0 0.0 0 0.0 0
Administrative and support services 561 3 3 0.0 0 0.0 0 0.0 0
Administrative and support services 561 5 466 6.6 3,987 6.2 35,108,639 4.5 677
Waste management and remediation services 562 3 8 0.1 0 0.0 0 0.0 0
Waste management and remediation services 562 5 21 0.3 216 0.3 2,310,311 0.3 821
Educational services 61 2 286 4.1 3,552 5.5 47,221,985 6.1 1,023
Educational services 61 5 143 2.0 1,107 1.7 12,289,864 1.6 854
Educational services 611 2 286 4.1 3,552 5.5 47,221,985 6.1 1,023
Educational services 611 5 143 2.0 1,107 1.7 12,289,864 1.6 854
Health care and social assistance 62 2 20 0.3 88 0.1 1,324,513 0.2 1,162
Health care and social assistance 62 5 629 8.9 7,741 12.0 110,872,948 14.3 1,102
Ambulatory health care services 621 2 5 0.1 0 0.0 0 0.0 0
Ambulatory health care services 621 5 374 5.3 3,444 5.3 58,432,538 7.5 1,305
Hospitals 622 2 6 0.1 0 0.0 0 0.0 0
Hospitals 622 5 18 0.3 0 0.0 0 0.0 0
Nursing and residential care facilities 623 2 3 0.0 0 0.0 0 0.0 0
Nursing and residential care facilities 623 5 15 0.2 0 0.0 0 0.0 0
Social assistance 624 2 6 0.1 0 0.0 0 0.0 0
Social assistance 624 5 222 3.2 1,820 2.8 12,899,840 1.7 545
Arts, entertainment, and recreation 71 1 3 0.0 104 0.2 1,703,426 0.2 1,260
Arts, entertainment, and recreation 71 3 21 0.3 0 0.0 0 0.0 0
Arts, entertainment, and recreation 71 5 207 2.9 1,399 2.2 13,559,649 1.7 746
Performing arts and spectator sports 711 5 82 1.2 196 0.3 1,753,438 0.2 689
Museums, historical sites, zoos, and parks 712 1 3 0.0 104 0.2 1,703,426 0.2 1,260
Museums, historical sites, zoos, and parks 712 5 12 0.2 101 0.2 765,277 0.1 581
Amusements, gambling, and recreation 713 3 21 0.3 0 0.0 0 0.0 0
Amusements, gambling, and recreation 713 5 113 1.6 1,102 1.7 11,040,934 1.4 771
Accommodation and food services 72 5 651 9.3 14,833 23.0 143,028,021 18.4 742
Accommodation 721 5 149 2.1 7,981 12.4 94,349,201 12.1 909
Food services and drinking places 722 5 502 7.1 6,852 10.6 48,678,820 6.3 547
Other services, except public administration 81 5 664 9.4 2,688 4.2 25,282,878 3.3 724
Repair and maintenance 811 5 116 1.6 396 0.6 4,540,092 0.6 881
Personal and laundry services 812 5 179 2.5 704 1.1 4,916,087 0.6 537
Membership associations and organizations 813 5 338 4.8 1,520 2.4 15,060,543 1.9 762
Private households 814 5 31 0.4 68 0.1 766,156 0.1 871
Public administration 92 1 19 0.3 487 0.8 7,791,088 1.0 1,230
Public administration 92 2 167 2.4 1,366 2.1 22,696,026 2.9 1,278
Public administration 92 3 116 1.6 0 0.0 0 0.0 0
Executive, legislative and general government 921 1 1 0.0 6 0.0 98,903 0.0 1,268
Executive, legislative and general government 921 2 28 0.4 87 0.1 1,479,822 0.2 1,303
Executive, legislative and general government 921 3 26 0.4 273 0.4 4,476,746 0.6 1,261
Justice, public order, and safety activities 922 1 3 0.0 5 0.0 139,606 0.0 2,014
Justice, public order, and safety activities 922 2 37 0.5 445 0.7 8,254,041 1.1 1,428
Justice, public order, and safety activities 922 3 71 1.0 912 1.4 22,899,952 2.9 1,931
Administration of human resource programs 923 1 2 0.0 52 0.1 1,212,555 0.2 1,794
Administration of human resource programs 923 2 46 0.7 395 0.6 6,541,264 0.8 1,275
Administration of human resource programs 923 3 7 0.1 134 0.2 1,563,689 0.2 898
Administration of environmental programs 924 1 5 0.1 21 0.0 415,041 0.1 1,520
Administration of environmental programs 924 2 20 0.3 132 0.2 1,960,523 0.3 1,142
Administration of environmental programs 924 3 1 0.0 0 0.0 0 0.0 0
Community and housing program administration 925 2 9 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 7 0.1 344 0.5 4,430,043 0.6 992
Administration of economic programs 926 2 23 0.3 275 0.4 4,032,284 0.5 1,127
Administration of economic programs 926 3 9 0.1 161 0.2 2,393,161 0.3 1,141
National security and international affairs 928 1 1 0.0 59 0.1 1,494,940 0.2 1,938
National security and international affairs 928 2 4 0.1 0 0.0 0 0.0 0

4.1 Census Tract Demographic-Economic Characteristics .. goto topics
There are 38 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
15009030100 1,405 632 773 345 0 0 3 672 0 385 0 342 1,405 467 279 980 239 189 467 283 184 329 56,339 88,250 387,700 1,050
15009030201 2,340 1,309 1,031 1,627 0 10 175 195 0 333 349 554 2,340 842 497 1,879 343 120 842 563 279 203 67,500 74,886 665,100 1,652
15009030202 8,694 4,346 4,348 5,312 84 0 929 338 57 1,974 1,349 1,356 8,694 2,952 2,038 6,377 984 800 2,952 1,732 1,220 296 88,581 88,750 825,300 1,994
15009030301 9,613 4,655 4,958 4,745 10 96 1,421 1,198 7 2,136 767 2,118 9,553 3,464 2,462 7,275 1,018 900 3,464 2,308 1,156 330 79,390 98,846 976,400 1,439
15009030303 3,704 1,744 1,960 2,876 1 0 412 25 51 339 252 1,066 3,699 1,708 1,106 3,170 215 332 1,708 1,031 677 2,286 86,841 103,182 1,493,400 1,881
15009030402 8,562 4,520 4,042 3,481 0 103 2,251 372 616 1,739 1,026 1,550 8,562 3,180 2,333 6,540 1,341 676 3,180 2,233 947 293 86,583 95,020 699,000 1,784
15009030403 3,955 2,070 1,885 1,672 33 24 677 422 148 979 355 704 3,922 1,324 926 2,911 464 348 1,324 967 357 65 94,231 117,500 588,200 1,581
15009030404 5,792 2,730 3,062 2,230 31 6 1,092 779 160 1,494 569 812 5,442 1,973 1,429 4,030 650 724 1,973 1,175 798 100 64,413 79,432 632,300 1,419
15009030501 2,249 1,121 1,128 1,102 0 0 385 139 42 581 325 283 2,229 695 460 1,528 224 241 695 475 220 266 100,250 107,000 695,400 2,210
15009030705 4,722 2,259 2,463 1,001 12 14 2,101 221 91 1,282 639 471 4,698 1,044 888 2,947 501 598 1,044 671 373 243 93,481 94,114 580,500 1,537
15009030706 2,523 1,178 1,345 1,145 27 5 628 68 26 624 368 376 2,517 1,011 588 2,009 310 290 1,011 568 443 290 73,569 80,667 399,200 1,569
15009030707 8,504 4,175 4,329 4,121 64 14 1,712 203 109 2,281 1,072 1,252 8,495 3,087 2,062 6,015 1,018 769 3,087 1,856 1,231 1,510 83,911 86,364 587,700 1,781
15009030708 2,931 1,518 1,413 1,805 21 0 462 369 50 224 126 586 2,931 1,140 705 2,208 258 181 1,140 621 519 341 84,811 103,528 621,000 1,398
15009030709 3,722 1,768 1,954 2,742 76 21 359 98 105 321 273 1,098 3,573 1,785 891 3,046 163 373 1,785 879 906 2,040 64,087 86,801 773,600 1,497
15009030710 2,631 1,299 1,332 1,720 1 9 421 274 13 193 186 518 2,599 1,005 695 2,036 281 298 1,005 612 393 1,343 70,540 72,244 682,600 1,890
15009030800 7,879 3,784 4,095 2,114 13 0 2,060 1,330 71 2,291 1,036 1,027 7,874 2,235 1,853 5,174 785 805 2,235 1,792 443 100 105,653 105,599 616,400 1,490
15009030901 2,467 1,276 1,191 463 29 0 937 594 13 431 138 429 2,448 1,047 558 1,663 333 172 1,047 399 648 124 42,298 51,837 391,800 1,080
15009030902 3,475 1,687 1,788 878 21 1 1,129 217 75 1,154 522 560 3,373 1,224 768 2,452 452 340 1,224 710 514 107 69,831 95,556 409,200 1,491
15009030903 7,287 3,361 3,926 948 13 26 2,530 1,455 112 2,203 793 949 7,281 1,750 1,413 4,552 992 849 1,750 1,337 413 38 98,942 96,287 513,000 1,379
15009031000 10,406 4,854 5,552 2,923 78 15 3,477 1,010 19 2,884 1,427 1,667 10,399 3,661 2,600 7,049 939 690 3,661 2,540 1,121 499 90,965 97,443 606,300 1,292
15009031101 8,690 4,814 3,876 1,726 120 36 3,153 1,730 138 1,787 1,201 1,037 7,621 2,099 1,702 5,919 1,071 990 2,099 975 1,124 116 85,643 85,000 659,000 1,419
15009031102 5,783 2,920 2,863 653 7 0 3,175 418 235 1,295 801 1,506 5,434 1,666 1,134 4,320 869 818 1,666 855 811 133 76,500 86,818 629,000 1,096
15009031103 10,757 5,539 5,218 771 80 0 6,742 693 312 2,159 781 1,551 10,722 2,509 2,208 6,925 1,277 1,102 2,509 1,842 667 79 102,031 105,789 575,300 1,413
15009031402 2,802 1,587 1,215 848 13 0 817 398 78 648 449 411 2,802 825 577 1,975 417 364 825 480 345 195 78,750 88,558 581,300 1,647
15009031404 3,639 1,617 2,022 1,949 0 11 578 241 22 838 687 570 3,634 1,266 726 2,355 282 487 1,266 340 926 383 61,978 71,473 699,100 1,256
15009031405 6,335 3,334 3,001 1,280 12 0 3,455 378 0 1,210 635 843 5,984 1,446 1,132 4,311 1,214 914 1,446 724 722 154 82,500 83,985 764,500 1,311
15009031501 2,075 957 1,118 771 0 0 490 238 27 549 245 327 2,063 702 503 1,596 321 311 702 416 286 1,045 84,848 84,735 625,600 1,799
15009031502 4,448 2,430 2,018 3,135 9 0 689 90 27 498 679 773 4,448 1,846 1,072 3,593 447 402 1,846 1,064 782 1,519 88,281 111,875 744,500 1,831
15009031503 2,381 1,109 1,272 1,544 0 0 127 149 186 375 786 554 2,364 1,039 772 1,776 193 363 1,039 397 642 1,530 69,033 69,464 1,135,300 1,696
15009031601 2,730 1,396 1,334 488 0 0 1,459 186 52 545 196 694 2,726 1,181 745 2,177 396 327 1,181 706 475 368 55,464 71,989 421,700 1,052
15009031700 3,892 1,887 2,005 693 27 2 785 1,643 9 733 183 971 3,886 1,379 833 2,688 529 466 1,379 941 438 814 41,705 55,329 301,500 874
15009031801 2,317 1,145 1,172 321 3 16 300 1,424 2 251 136 537 2,317 811 577 1,547 356 192 811 523 288 653 36,696 50,703 217,600 880
15009031900 6,379 3,168 3,211 746 60 15 3,599 513 0 1,446 411 1,301 6,245 1,674 1,468 4,321 791 684 1,674 947 727 347 76,489 77,123 657,700 1,334
15009032000 890 444 446 716 0 0 49 13 12 100 50 302 890 442 249 773 60 64 442 297 145 551 103,750 136,250 1,093,800 1,823
15009980000 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
15009990000 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
15009990200 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
15009991200 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 Maui 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 15009 .. 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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