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 Change	2010-20% 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 Structure	Jan-20	Feb-20	Mar-20	Apr-20	May-20	Jun-20	Jul-20	Aug-20	Sep-20	Oct-20	Nov-20	Dec-20
Single Family, Buildings	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 Structure	Jan-21	Feb-21	Mar-21	Apr-21	May-21	Jun-21	Jul-21	Aug-21	Sep-21	Oct-21	Nov-21	Dec-21
Single Family, Buildings	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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