Situation & Outlook Report
  Anderson County, SC  
  .. an information resource developed by ProximityOne .. more about these resources
  .. created 10/22/22

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.

Summary of Selected Characteristics
.. Unless otherwise noted, these attributes are for Anderson County, SC.
.. See more details using the table of contents below this summary.

Anderson County, SC is part of the Greenville-Anderson, SC metro/CBSA (24860). Component counties:

Code	Area Name	Population 2020	Population 2021	Change 2020-21	%Change 2020-21
45007	Anderson County, SC	204,032	206,908	2,876	1.4
45045	Greenville County, SC	526,980	533,834	6,854	1.3
45059	Laurens County, SC	67,551	67,803	252	0.4
45077	Pickens County, SC	131,602	132,229	627	0.5

Residential Construction. August 2022 new authorized residential construction was 135 total units with total value of $23,843,523. Updated monthly. See details in Section 2.4.1. below.

Housing Units. During the period 2010 to 2020, the number of housing units changed from 84,738 (2010) to 90,973 (2020), a change of 6,235 (7.4%). See details on occupied/vacant units, tenure, value, rent and related in Section 2.4.2. below.

Population & Components of Change. During the period 2010 to 2020, the population of Anderson County, SC changed from 187,095 (2010) to 204,353 (2020), a change of 17,258 (9.2%).

Components of population change during the 2010-2020 period were births 22,502, deaths 21,472, and net migration 16,303. The population natural increase, births less deaths, was 1,030.

The 7/1/20 model-based population estimate was 204,032 compared to the 7/1/21 model-based population estimate of 206,908. Components of change over the year were births 2,080, deaths 2,652, international migration 68, domestic migration 3,402. The net migration was 3,470. The natural increase was -572.

Income. The median household income changed from $38,851 in 2010 to $52,667, a change of $13,816 ( 35.6%).

Poverty. The number of people in poverty (all ages) changed from 34,446 in 2010 to 28,177, a change of -6,269 ( -18.2%). The poverty rate (all ages) changed from 18.7 in 2010 to 14.0, a change of -4.7 ( -25.1%).

Anderson city .. the largest city in Anderson County, SC. The 7/1/20 model-based population estimate of Anderson city was 29,170 compared to the 7/1/21 model-based population estimate of 29,170, a change of 0 or 0.0%. See more about Anderson city. See details about other cities in Section 1.2. below.

Topics
  00 How Income & Poverty are Changing
  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 Situation
  2.4.1 New Authorized Residential Construction (monthly)
  2.4.2 Housing Characteristics
  3.1 Industry by Sector Characteristics (quarterly/annual)
  4.1 Census Tract Demographic-Economic Characteristics

Lay of the Land .. goto topics
The following graphic shows patterns of economic prosperity (median household income)
by block group in context of the county/metro.

Use VDA Web GIS MetroDynamics to examine the area in more detail with alternative geography and subject matter.
Drill down to areas of interest using only a Web browser.

00. How Income & Poverty are Changing .. goto topics

Income & Poverty: 2010-2020

For most counties, median household income (MHI) has increased between 2010 and 2020, while the poverty rate has decreased.
This is due in part to Federal stimulus funds transfer payments in 2020. This section presents income and poverty data for each year 2010-2020 for this county, corresponding state and the U.S. This is the only Federal source of current estimate of MHI and poverty for all counties.

Anderson County

Year

Med HH Inc

Ages 0-17 in Poverty

Ages 0-17 Poverty Rate

Ages 0-17 Universe

Ages 5-17 in Families in Poverty

Ages 5-17 in Families Poverty Rate

Ages 5-17 in Families Universe

All Ages in Poverty

All Ages Poverty Rate

All Ages Universe

2010

$38,851

12,496

28.3

44,152

7,708

24.0

32,163

34,446

18.7

184,225

2011

$41,000

10,612

24.1

44,088

7,157

22.2

32,238

29,142

15.7

185,509

2012

$39,905

10,603

24.0

44,123

7,239

22.3

32,403

33,021

17.7

186,478

2013

$41,591

10,704

24.3

44,041

7,108

21.8

32,540

31,258

16.7

187,568

2014

$43,124

10,555

23.8

44,298

7,185

21.9

32,822

31,752

16.7

189,695

2015

$44,745

11,101

25.1

44,225

7,667

23.4

32,798

32,807

17.2

191,268

2016

$45,821

9,851

22.1

44,635

6,812

20.7

32,946

29,703

15.4

193,351

2017

$48,846

9,238

20.5

45,012

6,002

18.1

33,148

28,083

14.4

195,615

2018

$51,740

9,623

21.3

45,251

6,519

19.5

33,498

28,843

14.6

197,244

2019

$54,496

8,433

18.8

44,947

6,123

18.4

33,285

25,717

12.9

198,943

2020

$52,667

8,474

18.7

45,314

5,982

17.7

33,714

28,177

14.0

201,141

South Carolina

Year

Med HH Inc

Ages 0-17 in Poverty

Ages 0-17 Poverty Rate

Ages 0-17 Universe

Ages 5-17 in Families in Poverty

Ages 5-17 in Families Poverty Rate

Ages 5-17 in Families Universe

All Ages in Poverty

All Ages Poverty Rate

All Ages Universe

2010

$42,117

276,637

26.0

1,063,825

180,286

23.6

762,924

813,939

18.1

4,493,882

2011

$42,477

292,835

27.5

1,065,797

194,488

25.4

764,640

852,999

18.8

4,538,319

2012

$43,290

285,674

26.8

1,067,825

192,338

24.9

771,371

837,327

18.3

4,585,462

2013

$44,310

290,346

27.3

1,063,159

194,639

25.2

772,521

858,553

18.5

4,631,792

2014

$45,337

281,738

26.4

1,067,825

195,415

25.1

778,427

838,065

17.9

4,691,566

2015

$47,308

260,646

24.4

1,069,113

184,214

23.5

783,724

796,609

16.8

4,750,107

2016

$49,587

249,108

23.0

1,080,758

172,272

21.8

790,003

739,574

15.3

4,820,435

2017

$50,675

242,819

22.3

1,086,644

169,622

21.3

794,644

750,359

15.4

4,882,684

2018

$52,449

241,192

22.1

1,089,131

170,543

21.3

800,634

750,582

15.2

4,944,734

2019

$56,360

216,175

19.9

1,085,786

151,485

19.0

799,045

695,259

13.9

5,003,261

2020

$57,216

205,775

18.7

1,100,958

144,351

17.8

812,626

703,004

13.8

5,085,371

United States

Year

Med HH Inc

Ages 0-17 in Poverty

Ages 0-17 Poverty Rate

Ages 0-17 Universe

Ages 5-17 in Families in Poverty

Ages 5-17 in Families Poverty Rate

Ages 5-17 in Families Universe

All Ages in Poverty

All Ages Poverty Rate

All Ages Universe

2010

$50,046

15,749,129

21.6

73,024,577

10,484,513

19.8

52,872,735

46,215,956

15.3

301,535,021

2011

$50,502

16,386,500

22.5

72,802,773

10,976,987

20.8

52,708,799

48,452,035

15.9

303,778,193

2012

$51,371

16,396,863

22.6

72,605,436

11,086,537

21.0

52,675,863

48,760,123

15.9

306,086,063

2013

$52,250

16,086,960

22.2

72,382,173

10,958,232

20.8

52,605,987

48,810,868

15.8

308,196,783

2014

$53,657

15,686,012

21.7

72,386,485

10,714,518

20.4

52,594,799

48,208,387

15.5

310,899,910

2015

$55,775

15,000,273

20.7

72,454,786

10,245,028

19.5

52,635,679

46,153,077

14.7

313,476,400

2016

$57,617

14,115,713

19.5

72,452,603

9,648,486

18.3

52,644,648

44,268,996

14.0

315,165,470

2017

$60,336

13,353,202

18.4

72,452,925

9,120,503

17.3

52,669,201

42,583,651

13.4

317,741,588

2018

$61,937

12,997,532

18.0

72,163,269

8,930,152

17.0

52,529,919

41,852,315

13.1

319,184,033

2019

$65,712

12,000,470

16.8

71,633,453

8,258,906

15.8

52,324,733

39,490,096

12.3

320,118,791

2020

$67,340

11,204,423

15.7

71,388,957

7,798,566

14.9

52,357,364

38,371,394

11.9

321,478,113

01. Personal Income & Gross Domestic Product .. goto topics
Examine personal income components and compare Anderson County, SC to other areas using this interactive table.

Examine GDP components and compare Anderson County, SC to other areas using this interactive table.

02. How & Why Anderson County, SC is Changing .. goto topics
Anderson County, SC (45007), part of Greenville-Anderson, SC MSA (24860), changed in population from 187,095 (2010) to 204,353 (2020), a change of 17,258 (9.2%).
Factors accounting the change over the decade 2010 to 2020 include:
  • Births 2010-2020: 22,502
  • Deaths 2010-2020: 21,472
  • Natural Increase 2010-2020: 1,030
  • Net Migration 2010-2020: 16,303

Attributes of Change, Post Census 2020 Model-Based Demographics .. more information

Population 7/1/20	204,032
Births 6/30/19-7/1/20	2,000
Deaths 6/30/19-7/1/20	2,796
Natural Increase 6/30/19-7/1/20	-796
International Migration 6/30/19-7/1/20	-4
Domestic Migration 6/30/19-7/1/20	2,076
Net Migration 6/30/19-7/1/20	2,072
Population 7/1/21	206,908
Births 6/30/20-7/1/21	2,080
Deaths 6/30/20-7/1/21	2,652
Natural Increase 6/30/20-7/1/21	-572
International Migration 6/30/20-7/1/21	68
Domestic Migration 6/30/20-7/1/21	3,402
Net Migration 6/30/20-7/1/21	3,470

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

Anderson County, SC .. 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	187,126	100.0	203,718	100.0	16,592	8.9
One race	184,264	98.5	192,673	94.6	8,409	4.6
White alone	149,818	80.1	154,385	75.8	4,567	3.0
Black alone	30,020	16.0	30,440	14.9	420	1.4
American India/Alaskan Native alone	478	0.3	616	0.3	138	28.9
Asian alone	1,405	0.8	2,413	1.2	1,008	71.7
Native Hawaiian and Other Pacific Islander alone	43	0.0	58	0.0	15	34.9
Other race	2,500	1.3	4,761	2.3	2,261	90.4
Two or more races	2,862	1.5	11,045	5.4	8,183	285.9
White, Non-Hispanic	147,362	78.8	152,396	74.8	5,034	3.4
Black Non-Hispanic	29,810	15.9	30,214	14.8	404	1.4
Hispanic (of any race)	5,447	2.9	9,574	4.7	4,127	75.8
Total population, 18 years or older	142,301	76.0	157,974	77.5	15,673	11.0
One race	141,108	75.4	151,340	74.3	10,232	7.3
White alone	116,607	62.3	123,038	60.4	6,431	5.5
Black alone	21,516	11.5	22,740	11.2	1,224	5.7
American India/Alaskan Native alone	363	0.2	485	0.2	122	33.6
Asian alone	1,028	0.5	1,903	0.9	875	85.1
Native Hawaiian and Other Pacific Islander alone	31	0.0	48	0.0	17	54.8
Other race	1,563	0.8	3,126	1.5	1,563	100.0
Two or more races	1,193	0.6	6,634	3.3	5,441	456.1
White, Non-Hispanic	115,006	61.5	121,876	59.8	6,870	6.0
Black Non-Hispanic	21,386	11.4	22,617	11.1	1,231	5.8
Hispanic (of any race)	3,465	1.9	6,103	3.0	2,638	76.1
Group Quarters population	2,764	1.5	3,213	1.6	449	16.2
Group Quarters, institutionalized population	1,617	0.9	1,292	0.6	-325	-20.1
Group Quarters, noninstitutionalized population	1,147	0.6	1,921	0.9	774	67.5
Housing Units	84,774	100.0	89,123	100.0	4,349	5.1
Occupied	73,829	87.1	80,372	90.2	6,543	8.9
Vacant	10,945	12.9	8,751	9.8	-2,194	-20.0

1.1 Population & Components of Change .. goto topics

Based on Census Bureau model-based population estimates, the Anderson County, SC population changed from 187,095 in 2010 to 204,353 in 2020, a change of 17,258 (9.2%).

Population/Component	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
Population	187,095	188,183	188,860	190,070	191,872	193,806	195,672	198,255	200,209	202,424	204,353
Births	529	2,233	2,176	2,282	2,217	2,295	2,282	2,359	2,242	2,211	2,205
Deaths	434	1,952	1,947	2,023	2,023	2,066	2,247	2,251	2,288	2,261	2,414
Natural Increase	95	281	229	259	194	229	35	108	-46	-50	-209
Net Migration	94	811	491	971	1,603	1,707	1,834	2,474	1,999	2,271	2,142
International	36	145	155	160	182	137	32	47	44	81	59
Domestic	59	58	666	336	811	1,421	1,570	1,802	2,427	1,955	2,190
Group Quarters	2,764	2,777	2,784	2,758	2,855	2,990	2,907	2,934	2,931	2,957	2,956

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

1.2 City/Place Demographic-Economic Characteristics .. goto topics

City/Place	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
Pendleton town (part) 4555645	3,028	3,044	3,053	3,073	3,102	3,134	3,169	3,213	3,248	3,285
Anderson city 4501360	26,458	26,577	26,634	26,736	26,919	27,069	27,028	27,268	27,401	27,676
Belton city 4505365	4,166	4,182	4,191	4,212	4,245	4,282	4,323	4,375	4,414	4,455
Clemson city (part) 4514950	40	40	40	40	43	45	47	49	52	52
Honea Path town (part) 4534810	3,472	3,491	3,499	3,519	3,550	3,583	3,620	3,668	3,705	3,743
Iva town 4536160	1,238	1,239	1,243	1,245	1,261	1,272	1,285	1,300	1,313	1,325
Pelzer town 4555465	1,292	1,299	1,303	1,313	1,324	1,339	1,353	1,372	1,387	1,401
West Pelzer town 4576345	880	884	888	893	900	909	916	929	937	946
Williamston town 4577875	3,962	3,982	3,993	4,015	4,049	4,086	4,128	4,178	4,219	4,260
Balance of Anderson County 4599990	142,335	143,184	143,739	144,721	146,158	147,737	149,471	151,587	153,366	155,163
Easley city (part) 4521985	37	59	58	59	60	62	57	61	62	62
Starr town 4568875	178	179	179	179	182	182	185	186	188	190

Examine city/place population estimates and compare places in Anderson County, SC to other areas using this interactive table.
.. use the county code 45007 in the Find county below the table to view the county component city/places in the table.

1.3 Migration/Mobility -- Movers from 1 Year Ago .. goto topics

Based on ACS 2019, there were 312 mover partner areas for Anderson County, SC. There were a total inbound movers of 13092 and a total outbound movers of 11539, for a net movers of 1220 (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_45007.dbf.

Residence 1 Year Age	Geocode	Moved to 45007	Moved from 45007	Net Movers
Africa	null	30	null	null
Asia	null	78	null	null
Central America	null	76	null	null
Europe	null	118	null	null
Northern America	null	14	null	null
South America	null	17	null	null
Baldwin County, Alabama	01003	28	0	28
Maricopa County, Arizona	04013	37	28	9
Pulaski County, Arkansas	05119	0	9	-9
Orange County, California	06059	13	0	13
San Diego County, California	06073	174	0	174
San Francisco County, California	06075	7	0	7
Sonoma County, California	06097	30	0	30
Boulder County, Colorado	08013	0	15	-15
El Paso County, Colorado	08041	25	0	25
Jefferson County, Colorado	08059	0	38	-38
Pitkin County, Colorado	08097	11	0	11
San Miguel County, Colorado	08113	0	3	-3
Hartford County, Connecticut	09003	1	0	1
New Haven County, Connecticut	09009	0	12	-12
New Castle County, Delaware	10003	0	49	-49
Citrus County, Florida	12017	0	32	-32
Duval County, Florida	12031	54	47	7
Escambia County, Florida	12033	0	4	-4
Gulf County, Florida	12045	55	0	55
Highlands County, Florida	12055	0	10	-10
Hillsborough County, Florida	12057	64	26	38
Lee County, Florida	12071	0	3	-3
Marion County, Florida	12083	0	5	-5
Okaloosa County, Florida	12091	0	41	-41
Orange County, Florida	12095	10	0	10
Palm Beach County, Florida	12099	23	0	23
Pinellas County, Florida	12103	24	0	24
Polk County, Florida	12105	0	19	-19
Putnam County, Florida	12107	12	0	12
Sarasota County, Florida	12115	7	0	7
Seminole County, Florida	12117	14	0	14
Volusia County, Florida	12127	0	28	-28
Baldwin County, Georgia	13009	0	14	-14
Banks County, Georgia	13011	0	15	-15
Barrow County, Georgia	13013	9	13	-4
Bartow County, Georgia	13015	20	0	20
Bibb County, Georgia	13021	0	13	-13
Bryan County, Georgia	13029	0	32	-32
Chatham County, Georgia	13051	173	10	163
Clarke County, Georgia	13059	0	193	-193
Clayton County, Georgia	13063	17	0	17
Cobb County, Georgia	13067	31	13	18
Crawford County, Georgia	13079	0	18	-18
DeKalb County, Georgia	13089	10	16	-6
Douglas County, Georgia	13097	32	0	32
Elbert County, Georgia	13105	0	18	-18
Fayette County, Georgia	13113	0	36	-36
Franklin County, Georgia	13119	18	0	18
Fulton County, Georgia	13121	39	0	39
Glascock County, Georgia	13125	2	0	2
Gwinnett County, Georgia	13135	69	24	45
Hall County, Georgia	13139	0	14	-14
Hart County, Georgia	13147	38	68	-30
Henry County, Georgia	13151	29	0	29
Jackson County, Georgia	13157	38	0	38
Laurens County, Georgia	13175	0	7	-7
McDuffie County, Georgia	13189	0	64	-64
Muscogee County, Georgia	13215	31	8	23
Peach County, Georgia	13225	0	17	-17
Richmond County, Georgia	13245	64	17	47
Stephens County, Georgia	13257	23	0	23
Talbot County, Georgia	13263	0	1	-1
Taylor County, Georgia	13269	17	0	17
Thomas County, Georgia	13275	31	0	31
Tift County, Georgia	13277	17	0	17
Washington County, Georgia	13303	0	10	-10
Twin Falls County, Idaho	16083	0	23	-23
Champaign County, Illinois	17019	51	0	51
Kane County, Illinois	17089	85	0	85
Livingston County, Illinois	17105	24	0	24
Rock Island County, Illinois	17161	20	0	20
Kosciusko County, Indiana	18085	21	0	21
Ripley County, Indiana	18137	19	0	19
Plymouth County, Iowa	19149	16	0	16
Jefferson County, Kentucky	21111	13	15	-2
Orleans Parish, Louisiana	22071	0	20	-20
Knox County, Maine	23013	0	24	-24
Penobscot County, Maine	23019	99	0	99
York County, Maine	23031	19	0	19
Harford County, Maryland	24025	25	0	25
Montgomery County, Maryland	24031	0	9	-9
Prince George's County, Maryland	24033	71	0	71
Essex County, Massachusetts	25009	0	12	-12
Norfolk County, Massachusetts	25021	28	0	28
Worcester County, Massachusetts	25027	46	0	46
Genesee County, Michigan	26049	95	0	95
Kalamazoo County, Michigan	26077	1	0	1
St. Clair County, Michigan	26147	14	0	14
Sanilac County, Michigan	26151	0	2	-2
Washtenaw County, Michigan	26161	0	9	-9
Wayne County, Michigan	26163	2	7	-5
Chippewa County, Minnesota	27023	0	10	-10
Ramsey County, Minnesota	27123	17	0	17
George County, Mississippi	28039	8	0	8
Clay County, Missouri	29047	15	0	15
Phelps County, Missouri	29161	90	0	90
St. Louis County, Missouri	29189	0	19	-19
Musselshell County, Montana	30065	104	0	104
Washoe County, Nevada	32031	23	0	23
Rockingham County, New Hampshire	33015	17	0	17
Atlantic County, New Jersey	34001	7	0	7
Bergen County, New Jersey	34003	4	0	4
Burlington County, New Jersey	34005	0	19	-19
Hudson County, New Jersey	34017	7	0	7
Morris County, New Jersey	34027	19	0	19
Albany County, New York	36001	94	0	94
Allegany County, New York	36003	0	6	-6
Bronx County, New York	36005	8	0	8
Erie County, New York	36029	49	0	49
Genesee County, New York	36037	50	0	50
Kings County, New York	36047	0	15	-15
Monroe County, New York	36055	10	0	10
New York County, New York	36061	0	7	-7
Queens County, New York	36081	8	0	8
Rensselaer County, New York	36083	0	271	-271
Steuben County, New York	36101	0	8	-8
Suffolk County, New York	36103	59	0	59
Warren County, New York	36113	4	0	4
Alamance County, North Carolina	37001	7	0	7
Brunswick County, North Carolina	37019	10	0	10
Buncombe County, North Carolina	37021	95	57	38
Burke County, North Carolina	37023	9	0	9
Cabarrus County, North Carolina	37025	18	0	18
Caldwell County, North Carolina	37027	11	0	11
Cherokee County, North Carolina	37039	0	19	-19
Craven County, North Carolina	37049	8	0	8
Cumberland County, North Carolina	37051	0	7	-7
Forsyth County, North Carolina	37067	6	117	-111
Franklin County, North Carolina	37069	0	26	-26
Gaston County, North Carolina	37071	55	67	-12
Guilford County, North Carolina	37081	4	64	-60
Haywood County, North Carolina	37087	0	86	-86
Henderson County, North Carolina	37089	82	0	82
Lincoln County, North Carolina	37109	0	14	-14
Macon County, North Carolina	37113	27	7	20
Mecklenburg County, North Carolina	37119	27	34	-7
Onslow County, North Carolina	37133	151	0	151
Pitt County, North Carolina	37147	2	0	2
Polk County, North Carolina	37149	13	0	13
Rowan County, North Carolina	37159	0	24	-24
Rutherford County, North Carolina	37161	0	166	-166
Stanly County, North Carolina	37167	7	0	7
Surry County, North Carolina	37171	44	9	35
Swain County, North Carolina	37173	0	8	-8
Transylvania County, North Carolina	37175	0	13	-13
Union County, North Carolina	37179	44	58	-14
Wake County, North Carolina	37183	109	0	109
Yancey County, North Carolina	37199	9	0	9
Butler County, Ohio	39017	0	4	-4
Darke County, Ohio	39037	36	0	36
Franklin County, Ohio	39049	36	0	36
Greene County, Ohio	39057	0	8	-8
Lucas County, Ohio	39095	20	0	20
Stark County, Ohio	39151	0	59	-59
Delaware County, Oklahoma	40041	0	3	-3
Kiowa County, Oklahoma	40075	58	0	58
Allegheny County, Pennsylvania	42003	12	0	12
Armstrong County, Pennsylvania	42005	19	0	19
Beaver County, Pennsylvania	42007	22	0	22
Berks County, Pennsylvania	42011	14	0	14
Lackawanna County, Pennsylvania	42069	51	0	51
Lancaster County, Pennsylvania	42071	0	7	-7
Lehigh County, Pennsylvania	42077	20	0	20
Montgomery County, Pennsylvania	42091	46	0	46
Philadelphia County, Pennsylvania	42101	2	0	2
Kent County, Rhode Island	44003	0	27	-27
Abbeville County, South Carolina	45001	57	352	-295
Aiken County, South Carolina	45003	190	41	149
Allendale County, South Carolina	45005	0	20	-20
Bamberg County, South Carolina	45009	0	17	-17
Barnwell County, South Carolina	45011	9	0	9
Beaufort County, South Carolina	45013	38	827	-789
Berkeley County, South Carolina	45015	55	417	-362
Calhoun County, South Carolina	45017	37	0	37
Charleston County, South Carolina	45019	114	230	-116
Cherokee County, South Carolina	45021	0	29	-29
Chester County, South Carolina	45023	15	53	-38
Chesterfield County, South Carolina	45025	36	17	19
Colleton County, South Carolina	45029	3	2	1
Darlington County, South Carolina	45031	0	71	-71
Dorchester County, South Carolina	45035	37	9	28
Edgefield County, South Carolina	45037	0	7	-7
Florence County, South Carolina	45041	144	71	73
Greenville County, South Carolina	45045	3167	2135	1032
Greenwood County, South Carolina	45047	65	192	-127
Hampton County, South Carolina	45049	0	20	-20
Horry County, South Carolina	45051	41	129	-88
Jasper County, South Carolina	45053	0	70	-70
Kershaw County, South Carolina	45055	46	0	46
Lancaster County, South Carolina	45057	12	7	5
Laurens County, South Carolina	45059	278	215	63
Lee County, South Carolina	45061	0	22	-22
Lexington County, South Carolina	45063	172	236	-64
McCormick County, South Carolina	45065	0	57	-57
Newberry County, South Carolina	45071	19	21	-2
Oconee County, South Carolina	45073	245	616	-371
Orangeburg County, South Carolina	45075	5	0	5
Pickens County, South Carolina	45077	1747	1615	132
Richland County, South Carolina	45079	160	181	-21
Saluda County, South Carolina	45081	15	0	15
Spartanburg County, South Carolina	45083	357	260	97
Sumter County, South Carolina	45085	27	9	18
Union County, South Carolina	45087	10	0	10
York County, South Carolina	45091	215	46	169
Hanson County, South Dakota	46061	0	2	-2
Minnehaha County, South Dakota	46099	45	0	45
Bradley County, Tennessee	47011	0	6	-6
Davidson County, Tennessee	47037	0	19	-19
Hamilton County, Tennessee	47065	70	0	70
Henry County, Tennessee	47079	0	9	-9
Jefferson County, Tennessee	47089	39	0	39
Knox County, Tennessee	47093	147	0	147
Montgomery County, Tennessee	47125	24	29	-5
Morgan County, Tennessee	47129	20	0	20
Rutherford County, Tennessee	47149	0	64	-64
Sullivan County, Tennessee	47163	0	8	-8
Trousdale County, Tennessee	47169	0	12	-12
Brazos County, Texas	48041	7	0	7
Collin County, Texas	48085	0	70	-70
Denton County, Texas	48121	226	0	226
El Paso County, Texas	48141	11	104	-93
Galveston County, Texas	48167	105	0	105
Guadalupe County, Texas	48187	0	24	-24
Harris County, Texas	48201	27	0	27
Potter County, Texas	48375	16	0	16
Travis County, Texas	48453	5	0	5
Cache County, Utah	49005	0	29	-29
Windsor County, Vermont	50027	0	4	-4
Chesterfield County, Virginia	51041	7	0	7
Frederick County, Virginia	51069	16	0	16
Henrico County, Virginia	51087	40	0	40
Prince William County, Virginia	51153	83	0	83
Galax city, Virginia	51640	23	0	23
Portsmouth city, Virginia	51740	8	0	8
Salem city, Virginia	51775	0	15	-15
Virginia Beach city, Virginia	51810	45	12	33
King County, Washington	53033	0	9	-9
Pierce County, Washington	53053	0	39	-39
Snohomish County, Washington	53061	0	49	-49
Berkeley County, West Virginia	54003	0	49	-49
Boone County, West Virginia	54005	5	0	5
Brooke County, West Virginia	54009	0	54	-54
Cabell County, West Virginia	54011	12	32	-20
Jefferson County, Wisconsin	55055	0	17	-17
Marathon County, Wisconsin	55073	0	6	-6
Outagamie County, Wisconsin	55087	0	18	-18
Walworth County, Wisconsin	55127	0	3	-3
Waupaca County, Wisconsin	55135	0	14	-14
Bayamón Municipio, Puerto Rico	72021	5	0	5
New Britain town, Hartford County, Connecticut	0900350440	1	0	1
Southbury town, New Haven County, Connecticut	0900969640	0	12	-12
Rockport town, Knox County, Maine	2301363660	0	24	-24
Hermon town, Penobscot County, Maine	2301932510	99	0	99
South Berwick town, York County, Maine	2303170030	19	0	19
Beverly city, Essex County, Massachusetts	2500905595	0	12	-12
Franklin Town city, Norfolk County, Massachusetts	2502125172	28	0	28
Worcester city, Worcester County, Massachusetts	2502782000	46	0	46
Grand Blanc charter township, Genesee County, Michigan	2604933300	95	0	95
Kalamazoo charter township, Kalamazoo County, Michigan	2607742180	1	0	1
Wales township, St. Clair County, Michigan	2614782900	14	0	14
Sanilac township, Sanilac County, Michigan	2615171580	0	2	-2
Pittsfield charter township, Washtenaw County, Michigan	2616164560	0	9	-9
Detroit city, Wayne County, Michigan	2616322000	2	0	2
Southgate city, Wayne County, Michigan	2616374960	0	7	-7
Granite Falls city, Chippewa County, Minnesota	2702325280	0	10	-10
St. Paul city, Ramsey County, Minnesota	2712358000	17	0	17
Epping town, Rockingham County, New Hampshire	3301524660	17	0	17
Galloway township, Atlantic County, New Jersey	3400125560	7	0	7
Park Ridge borough, Bergen County, New Jersey	3400356130	4	0	4
Medford township, Burlington County, New Jersey	3400545120	0	19	-19
Bayonne city, Hudson County, New Jersey	3401703580	2	0	2
Harrison town, Hudson County, New Jersey	3401730210	5	0	5
Mount Olive township, Morris County, New Jersey	3402749080	19	0	19
Watervliet city, Albany County, New York	3600178674	94	0	94
Caneadea town, Allegany County, New York	3600312243	0	6	-6
Bronx borough, Bronx County, New York	3600508510	8	0	8
Eden town, Erie County, New York	3602923415	49	0	49
Pembroke town, Genesee County, New York	3603757078	50	0	50
Brooklyn borough, Kings County, New York	3604710022	0	15	-15
Sweden town, Monroe County, New York	3605572455	10	0	10
Manhattan borough, New York County, New York	3606144919	0	7	-7
Queens borough, Queens County, New York	3608160323	8	0	8
Rensselaer city, Rensselaer County, New York	3608361148	0	271	-271
Avoca town, Steuben County, New York	3610103342	0	8	-8
Brookhaven town, Suffolk County, New York	3610310000	18	0	18
Islip town, Suffolk County, New York	3610338000	41	0	41
Queensbury town, Warren County, New York	3611360356	4	0	4
Pittsburgh city, Allegheny County, Pennsylvania	4200361000	12	0	12
North Apollo borough, Armstrong County, Pennsylvania	4200554728	19	0	19
Beaver Falls city, Beaver County, Pennsylvania	4200704792	13	0	13
Chippewa township, Beaver County, Pennsylvania	4200713488	9	0	9
Maxatawny township, Berks County, Pennsylvania	4201148128	14	0	14
Clarks Summit borough, Lackawanna County, Pennsylvania	4206913880	51	0	51
Millersville borough, Lancaster County, Pennsylvania	4207149728	0	7	-7
Emmaus borough, Lehigh County, Pennsylvania	4207723584	20	0	20
Norristown borough, Montgomery County, Pennsylvania	4209154656	40	0	40
Springfield township, Montgomery County, Pennsylvania	4209173088	6	0	6
Philadelphia city, Philadelphia County, Pennsylvania	4210160000	2	0	2
Coventry town, Kent County, Rhode Island	4400318640	0	27	-27
Rochester town, Windsor County, Vermont	5002760100	0	4	-4
Cold Spring town, Jefferson County, Wisconsin	5505516225	0	17	-17
Schofield city, Marathon County, Wisconsin	5507372150	0	6	-6
Grand Chute town, Outagamie County, Wisconsin	5508730075	0	18	-18
Whitewater town, Walworth County, Wisconsin	5512786950	0	3	-3
New London city, Waupaca County, Wisconsin	5513556925	0	14	-14

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
.. age, gender, race/origin characteristics
    and related general demographic attributes.
.. based on ACS 2020 5-year data (ACS). Negative cell value indicates NA.

GENERAL DEMOGRAPHIC CHARACTERISTICS (DP1)	ItemCode	County Estimate	County Percent	U.S. Estimate	U.S. Percent
SEX AND AGE
.Total population	D001	200,183	100.0	326,569,308	100.0
..Male	D002	96,427	48.2	160,818,530	49.2
..Female	D003	103,756	51.8	165,750,778	50.8
..Sex ratio (males per 100 females)	D004	92.9		97.0
..Under 5 years	D005	11,646	5.8	19,650,192	6.0
..5 to 9 years	D006	12,576	6.3	19,979,039	6.1
..10 to 14 years	D007	13,504	6.7	21,107,910	6.5
..15 to 19 years	D008	12,794	6.4	21,174,955	6.5
..20 to 24 years	D009	11,711	5.9	21,820,378	6.7
..25 to 34 years	D010	24,195	12.1	45,485,165	13.9
..35 to 44 years	D011	24,167	12.1	41,346,677	12.7
..45 to 54 years	D012	26,475	13.2	41,540,736	12.7
..55 to 59 years	D013	13,401	6.7	21,785,721	6.7
..60 to 64 years	D014	13,721	6.9	20,315,718	6.2
..65 to 74 years	D015	21,232	10.6	30,547,950	9.4
..75 to 84 years	D016	11,442	5.7	15,193,051	4.7
..85 years and over	D017	3,319	1.7	6,621,816	2.0
..Median age (years)	D018	40.7		38.2
..Under 18 years	D019	45,689	22.8	73,296,738	22.4
..16 years and over	D020	159,919	79.9	261,649,873	80.1
..18 years and over	D021	154,494	77.2	253,272,570	77.6
..21 years and over	D022	146,991	73.4	240,169,127	73.5
..62 years and over	D023	43,490	21.7	64,136,076	19.6
..65 years and over	D024	35,993	18.0	52,362,817	16.0
..18 years and over	D025	154,494	100.0	253,272,570	100.0
...Male	D026	73,214	47.4	123,361,776	48.7
...Female	D027	81,280	52.6	129,910,794	51.3
...Sex ratio (males per 100 females)	D028	90.1		95.0
..65 years and over	D029	35,993	100.0	52,362,817	100.0
...Male	D030	15,902	44.2	23,264,263	44.4
...Female	D031	20,091	55.8	29,098,554	55.6
...Sex ratio (males per 100 females)	D032	79.1		79.9
RACE
.Total population	D033	200,183	100.0	326,569,308	100.0
..One race	D034	195,065	97.4	309,693,766	94.8
..Two or more races	D035	5,118	2.6	16,875,542	5.2
..One race	D036	195,065	97.4	309,693,766	94.8
...White	D037	158,730	79.3	229,960,813	70.4
...Black or African American	D038	31,634	15.8	41,227,384	12.6
...American Indian and Alaska Native	D039	321	0.2	2,688,614	0.8
....Cherokee tribal grouping	D040	131	0.1	277,634	0.1
....Chippewa tribal grouping	D041	4	0.0	112,056	0.0
....Navajo tribal grouping	D042	8	0.0	324,638	0.1
....Sioux tribal grouping	D043	0	100.0	110,492	100.0
...Asian	D044	1,896	0.9	18,421,637	5.6
....Asian Indian	D045	662	0.3	4,143,134	1.3
....Chinese	D046	384	0.2	4,345,272	1.3
....Filipino	D047	265	0.1	2,884,210	0.9
....Japanese	D048	33	0.0	768,985	0.2
....Korean	D049	137	0.1	1,477,325	0.5
....Vietnamese	D050	148	0.1	1,852,906	0.6
....Other Asian	D051	267	0.1	2,949,805	0.9
...Native Hawaiian and Other Pacific Islander	D052	49	0.0	611,404	0.2
....Native Hawaiian	D053	10	0.0	185,474	0.1
....Guamanian or Chamorro	D054	23	0.0	81,898	0.0
....Samoan	D055	0	100.0	110,141	100.0
....Other Pacific Islander	D056	16	0.0	233,891	0.1
...Some other race	D057	2,435	1.2	16,783,914	5.1
..Two or more races	D058	5,118	2.6	16,875,542	5.2
...White and Black or African American	D059	2,459	1.2	3,295,021	1.0
...White and American Indian and Alaska Native	D060	630	0.3	1,994,147	0.6
...White and Asian	D061	555	0.3	2,466,289	0.8
...Black or African American and American Indian and Alaska Native	D062	30	0.0	297,898	0.1
Race alone or in combination with one or more other races
.Total population	D063	200,183	100.0	326,569,308	100.0
..White	D064	163,656	81.8	245,105,778	75.1
..Black or African American	D065	34,831	17.4	46,273,733	14.2
..American Indian and Alaska Native	D066	1,612	0.8	5,779,818	1.8
..Asian	D067	2,513	1.3	22,193,536	6.8
..Native Hawaiian and Other Pacific Islander	D068	433	0.2	1,441,525	0.4
..Some other race	D069	3,236	1.6	24,041,125	7.4
HISPANIC OR LATINO AND RACE
.Total population	D070	200,183	100.0	326,569,308	100.0
..Hispanic or Latino (of any race)	D071	7,695	3.8	59,361,020	18.2
...Mexican	D072	3,278	1.6	36,537,028	11.2
...Puerto Rican	D073	809	0.4	5,699,150	1.7
...Cuban	D074	279	0.1	2,332,584	0.7
...Other Hispanic or Latino	D075	3,329	1.7	14,792,258	4.5
..Not Hispanic or Latino	D076	192,488	96.2	267,208,288	81.8
...White alone	D077	154,394	77.1	196,251,375	60.1
...Black or African American alone	D078	31,268	15.6	39,994,653	12.2
...American Indian and Alaska Native alone	D079	321	0.2	2,075,852	0.6
...Asian alone	D080	1,896	0.9	18,184,182	5.6
...Native Hawaiian and Other Pacific Islander alone	D081	49	0.0	550,080	0.2
...Some other race alone	D082	274	0.1	1,017,604	0.3
...Two or more races	D083	4,286	2.1	9,134,542	2.8
....Two races including Some other race	D084	56	0.0	827,762	0.3
....Two races excluding Some other race, and Three or more races	D085	4,230	2.1	8,306,780	2.5
.Total housing units	D086	89,095	100.0	138,432,751	100.0
CITIZEN, VOTING AGE POPULATION
.Citizen, 18 and over population	D087	151,561	100.0	233,440,758	100.0
..Male	D088	71,779	47.4	113,241,206	48.5
..Female	D089	79,782	52.6	120,199,552	51.5

2.2. Social Characteristics .. goto topics
.. families/households, education, enrollment, fertility, disability, language spoken, mobility, foreign born, ancestry characteristics
    and related social attributes.
.. based on ACS 2020 5-year data (ACS). Negative cell value indicates NA.

SOCIAL CHARACTERISTICS (DP2)	ItemCode	County Estimate	County Percent	U.S. Estimate	U.S. Percent
HOUSEHOLDS BY TYPE
.Total households	S001	78,636	100.0	122,354,219	100.0
..Married-couple family	S002	39,859	50.7	58,807,003	48.1
...With own children of the householder under 18 years	S003	-1		-1
..Cohabiting couple household	S004	4,565	5.8	7,958,647	6.5
...With own children of the householder under 18 years	S005	-1		-1
..Male householder, no spouse/partner present	S006	12,468	15.9	21,780,170	17.8
...With own children of the householder under 18 years	S007	-1		-1
...Householder living alone	S008	9,542	12.1	15,296,800	12.5
....65 years and over	S009	3,335	4.2	4,441,899	3.6
..Female householder, no spouse/partner present	S010	21,744	27.7	33,808,399	27.6
...With own children of the householder under 18 years	S011	-1		-1
...Householder living alone	S012	11,908	15.1	18,957,732	15.5
....65 years and over	S013	6,240	7.9	9,335,513	7.6
..Households with one or more people under 18 years	S014	23,891	30.4	37,598,741	30.7
..Households with one or more people 65 years and over	S015	25,724	32.7	36,861,827	30.1
..Average household size	S016	2.51		2.60
..Average family size	S017	3.03		3.21
RELATIONSHIP
.Population in households	S018	197,702	100.0	318,495,974	100.0
..Householder	S019	78,636	39.8	122,354,219	38.4
..Spouse	S020	39,641	20.1	58,717,034	18.4
..Unmarried partner	S021	4,745	2.4	8,048,864	2.5
..Child	S022	55,365	28.0	94,445,052	29.7
..Other relatives	S023	14,101	7.1	23,202,220	7.3
..Other nonrelatives	S024	5,214	2.6	11,728,585	3.7
MARITAL STATUS
.Males 15 years and over	S025	77,273	100.0	129,777,799	100.0
..Never married	S026	22,563	29.2	47,510,293	36.6
..Now married, except separated	S027	41,912	54.2	64,543,861	49.7
..Separated	S028	1,772	2.3	2,052,984	1.6
..Widowed	S029	3,042	3.9	3,408,813	2.6
..Divorced	S030	7,984	10.3	12,261,848	9.4
.Females 15 years and over	S031	85,184	100.0	136,054,368	100.0
..Never married	S032	21,388	25.1	41,518,358	30.5
..Now married, except separated	S033	41,745	49.0	63,348,809	46.6
..Separated	S034	2,395	2.8	2,859,442	2.1
..Widowed	S035	8,972	10.5	11,821,660	8.7
..Divorced	S036	10,684	12.5	16,506,099	12.1
FERTILITY
.Number of women 15 to 50 years old who had a birth in the past 12 months	S037	2,548	100.0	3,982,654	100.0
..Unmarried women (widowed, divorced, and never married)	S038	1,125	44.2	1,308,199	32.8
...Per 1,000 unmarried women	S039	47	-1.0	30	-1.0
..Per 1,000 women 15 to 50 years old	S040	56	-1.0	52	-1.0
..Per 1,000 women 15 to 19 years old	S041	31	-1.0	11	-1.0
..Per 1,000 women 20 to 34 years old	S042	109	-1.0	87	-1.0
..Per 1,000 women 35 to 50 years old	S043	18	-1.0	30	-1.0
GRANDPARENTS
.Number of grandparents living with own grandchildren under 18 years	S044	5,096	100.0	7,187,524	100.0
..Grandparents responsible for grandchildren	S045	2,196	43.1	2,400,774	33.4
..Years responsible for grandchildren
...Less than 1 year	S046	369	7.2	427,836	6.0
...1 or 2 years	S047	501	9.8	495,453	6.9
...3 or 4 years	S048	432	8.5	391,577	5.4
...5 or more years	S049	894	17.5	1,085,908	15.1
.Number of grandparents responsible for own grandchildren under 18 years	S050	2,196	100.0	2,400,774	100.0
..Who are female	S051	1,379	62.8	1,518,284	63.2
..Who are married	S052	1,490	67.9	1,646,934	68.6
SCHOOL ENROLLMENT
.Population 3 years and over enrolled in school	S053	46,510	100.0	80,497,960	100.0
..Nursery school, preschool	S054	2,464	5.3	4,879,858	6.1
..Kindergarten	S055	2,897	6.2	4,003,118	5.0
..Elementary school (grades 1-8)	S056	20,702	44.5	32,506,623	40.4
..High school (grades 9-12)	S057	9,984	21.5	16,879,255	21.0
..College or graduate school	S058	10,463	22.5	22,229,106	27.6
EDUCATIONAL ATTAINMENT
.Population 25 years and over	S059	137,952	100.0	222,836,834	100.0
..Less than 9th grade	S060	5,636	4.1	10,923,030	4.9
..9th to 12th grade, no diploma	S061	14,168	10.3	14,639,650	6.6
..High school graduate (includes equivalency)	S062	41,633	30.2	59,421,419	26.7
..Some college, no degree	S063	27,211	19.7	45,242,162	20.3
..Associate's degree	S064	16,043	11.6	19,254,254	8.6
..Bachelor's degree	S065	20,909	15.2	45,034,610	20.2
..Graduate or professional degree	S066	12,352	9.0	28,321,709	12.7
..High school graduate or higher	S067	118,148	85.6	197,274,154	88.5
..Bachelor's degree or higher	S068	33,261	24.1	73,356,319	32.9
VETERAN STATUS
.Civilian population 18 years and over	S069	154,219	100.0	252,130,477	100.0
..Civilian veterans	S070	13,569	8.8	17,835,456	7.1
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION
.Total Civilian Noninstitutionalized Population	S071	198,627	100.0	321,525,041	100.0
..With a disability	S072	33,052	16.6	40,786,461	12.7
.Under 18 years	S073	45,635	100.0	73,163,121	100.0
..With a disability	S074	2,374	5.2	3,166,556	4.3
.18 to 64 years	S075	117,929	100.0	197,289,696	100.0
..With a disability	S076	16,494	14.0	20,231,217	10.3
.65 years and over	S077	35,063	100.0	51,072,224	100.0
..With a disability	S078	14,184	40.5	17,388,688	34.0
RESIDENCE 1 YEAR AGO
.Population 1 year and over	S079	197,888	100.0	322,943,283	100.0
..Same house	S080	170,770	86.3	278,285,887	86.2
..Different house in the U.S. or abroad	S081	27,118	13.7	44,657,396	13.8
..Different house in the U.S.	S082	26,676	13.5	42,714,733	13.2
...Same county	S083	14,443	7.3	24,840,584	7.7
...Different county	S084	12,233	6.2	17,874,149	5.5
....Same state	S085	7,540	3.8	10,445,339	3.2
....Different state	S086	4,693	2.4	7,428,810	2.3
..Abroad	S087	442	0.2	1,942,663	0.6
PLACE OF BIRTH
.Total population	S088	200,183	100.0	326,569,308	100.0
..Native	S089	194,158	97.0	282,443,680	86.5
...Born in United States	S090	192,813	96.3	277,155,748	84.9
....State of residence	S091	135,720	67.8	189,976,546	58.2
....Different state	S092	57,093	28.5	87,179,202	26.7
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s)	S093	1,345	0.7	5,287,932	1.6
..Foreign born	S094	6,025	3.0	44,125,628	13.5
U.S. CITIZENSHIP STATUS
.Foreign-born population	S095	6,025	100.0	44,125,628	100.0
..Naturalized U.S. citizen	S096	2,726	45.2	22,456,684	50.9
..Not a U.S. citizen	S097	3,299	54.8	21,668,944	49.1
YEAR OF ENTRY
.Population born outside the United States	S098	7,370	100.0	49,413,560	100.0
..Native	S099	1,345	100.0	5,287,932	100.0
...Entered 2010 or later	S100	122	9.1	1,258,153	23.8
...Entered before 2010	S101	1,223	90.9	4,029,779	76.2
..Foreign born	S102	6,025	100.0	44,125,628	100.0
...Entered 2010 or later	S103	1,248	20.7	10,044,458	22.8
...Entered before 2010	S104	4,777	79.3	34,081,170	77.2
WORLD REGION OF BIRTH OF FOREIGN BORN
.Foreign-born population, excluding population born at sea	S105	6,025	100.0	44,125,120	100.0
..Europe	S106	1,224	20.3	4,784,383	10.8
..Asia	S107	1,322	21.9	13,794,873	31.3
..Africa	S108	200	3.3	2,362,292	5.4
..Oceania	S109	18	0.3	283,505	0.6
..Latin America	S110	2,953	49.0	22,073,519	50.0
..Northern America	S111	308	5.1	826,548	1.9
LANGUAGE SPOKEN AT HOME
.Population 5 years and over	S112	188,537	100.0	306,919,116	100.0
..English only	S113	180,316	95.6	240,826,040	78.5
..Language other than English	S114	8,221	4.4	66,093,076	21.5
...Speak English less than very well	S115	3,161	1.7	25,312,024	8.2
..Spanish	S116	5,382	2.9	40,537,337	13.2
...Speak English less than very well	S117	2,308	1.2	15,949,582	5.2
..Other Indo-European languages	S118	1,892	1.0	11,270,634	3.7
...Speak English less than very well	S119	451	0.2	3,422,525	1.1
..Asian and Pacific Islander languages	S120	654	0.3	10,800,470	3.5
...Speak English less than very well	S121	226	0.1	4,886,876	1.6
..Other languages	S122	293	0.2	3,484,635	1.1
...Speak English less than very well	S123	176	0.1	1,053,041	0.3
ANCESTRY
.Total population	S124	200,183	100.0	326,569,308	100.0
..American	S125	23,354	11.7	19,364,103	5.9
..Arab	S126	429	0.2	2,056,594	0.6
..Czech	S127	158	0.1	1,329,130	0.4
..Danish	S128	182	0.1	1,244,498	0.4
..Dutch	S129	1,332	0.7	3,692,889	1.1
..English	S130	21,326	10.7	25,213,619	7.7
..French (except Basque)	S131	2,420	1.2	7,374,976	2.3
..French Canadian	S132	825	0.4	1,998,012	0.6
..German	S133	17,068	8.5	42,589,571	13.0
..Greek	S134	366	0.2	1,249,194	0.4
..Hungarian	S135	521	0.3	1,348,198	0.4
..Irish	S136	19,664	9.8	31,518,129	9.7
..Italian	S137	4,138	2.1	16,549,022	5.1
..Lithuanian	S138	143	0.1	626,937	0.2
..Norwegian	S139	1,253	0.6	4,289,825	1.3
..Polish	S140	2,858	1.4	8,936,002	2.7
..Portuguese	S141	201	0.1	1,363,964	0.4
..Russian	S142	803	0.4	2,538,436	0.8
..Scotch-Irish	S143	5,987	3.0	2,937,156	0.9
..Scottish	S144	5,845	2.9	5,298,861	1.6
..Slovak	S145	165	0.1	658,740	0.2
..Subsaharan African	S146	1,325	0.7	3,809,930	1.2
..Swedish	S147	1,091	0.5	3,627,796	1.1
..Swiss	S148	304	0.2	908,570	0.3
..Ukrainian	S149	500	0.2	1,015,209	0.3
..Welsh	S150	885	0.4	1,851,256	0.6
..West Indian (excluding Hispanic origin groups)	S151	481	0.2	3,008,035	0.9
COMPUTERS AND INTERNET USE
.Total households	S152	78,636	100.0	122,354,219	100.0
..With a computer	S153	70,601	89.8	112,398,526	91.9
..With a broadband Internet subscription	S154	63,304	80.5	104,302,759	85.2

2.3. Economic Characteristics .. goto topics
.. labor force, employment by industry/occupation, income, commuting, health insurance, poverty characteristics
    and related economic attributes.
.. based on ACS 2020 5-year data (ACS). Negative cell value indicates NA.

ECONOMIC CHARACTERISTICS (DP3)	ItemCode	County Estimate	County Percent	U.S. Estimate	U.S. Percent
EMPLOYMENT STATUS
.Population 16 years and over	E001	159,919	100.0	261,649,873	100.0
..In labor force	E002	96,507	60.3	165,902,838	63.4
...Civilian labor force	E003	96,232	60.2	164,759,496	63.0
....Employed	E004	90,974	56.9	155,888,980	59.6
....Unemployed	E005	5,258	3.3	8,870,516	3.4
...Armed Forces	E006	275	0.2	1,143,342	0.4
..Not in labor force	E007	63,412	39.7	95,747,035	36.6
.Civilian labor force	E008	96,232	100.0	164,759,496	100.0
..Unemployment Rate	E009	5.50		5.40
.Females 16 years and over	E010	84,060	100.0	134,001,493	100.0
..In labor force	E011	46,060	54.8	78,484,558	58.6
...Civilian labor force	E012	46,060	54.8	78,314,931	58.4
....Employed	E013	43,315	51.5	74,173,483	55.4
.Own children of the householder under 6 years	E014	12,949	100.0	22,558,766	100.0
..All parents in family in labor force	E015	8,424	65.1	15,045,945	66.7
.Own children of the householder 6 to 17 years	E016	29,637	100.0	46,908,286	100.0
..All parents in family in labor force	E017	21,143	71.3	33,697,040	71.8
COMMUTING TO WORK
.Workers 16 years and over	E018	88,997	100.0	153,665,654	100.0
..Car, truck, or van -- drove alone	E019	75,051	84.3	115,127,720	74.9
..Car, truck, or van -- carpooled	E020	8,600	9.7	13,605,122	8.9
..Public transportation (excluding taxicab)	E021	250	0.3	7,044,886	4.6
..Walked	E022	1,037	1.2	3,954,692	2.6
..Other means	E023	599	0.7	2,780,139	1.8
..Worked from home	E024	3,460	3.9	11,153,095	7.3
..Mean travel time to work (minutes)	E025	25.00		26.90
OCCUPATION
.Civilian employed population 16 years and over	E026	90,974	100.0	155,888,980	100.0
..Management, business, science, and arts occupations	E027	32,513	35.7	61,526,906	39.5
..Service occupations	E028	14,126	15.5	27,095,654	17.4
..Sales and office occupations	E029	17,713	19.5	33,247,878	21.3
..Natural resources, construction, and maintenance occupations	E030	8,408	9.2	13,620,436	8.7
..Production, transportation, and material moving occupations	E031	18,214	20.0	20,398,106	13.1
INDUSTRY
.Civilian employed population 16 years and over	E032	90,974	100.0	155,888,980	100.0
..Agriculture, forestry, fishing and hunting, and mining	E033	401	0.4	2,658,413	1.7
..Construction	E034	6,246	6.9	10,416,196	6.7
..Manufacturing	E035	18,322	20.1	15,617,461	10.0
..Wholesale trade	E036	2,438	2.7	3,971,773	2.5
..Retail trade	E037	11,275	12.4	17,195,083	11.0
..Transportation and warehousing, and utilities	E038	4,483	4.9	8,576,862	5.5
..Information	E039	1,121	1.2	3,066,743	2.0
..Finance and insurance, and real estate and rental and leasing	E040	2,981	3.3	10,319,201	6.6
..Professional, scientific, and management, and administrative and waste management services	E041	7,700	8.5	18,312,454	11.7
..Educational services, and health care and social assistance	E042	22,423	24.6	36,315,080	23.3
..Arts, entertainment, and recreation, and accommodation and food services	E043	6,538	7.2	14,651,909	9.4
..Other services, except public administration	E044	4,275	4.7	7,516,616	4.8
..Public administration	E045	2,771	3.0	7,271,189	4.7
CLASS OF WORKER
.Civilian employed population 16 years and over	E046	90,974	100.0	155,888,980	100.0
..Private wage and salary workers	E047	74,544	81.9	124,611,544	79.9
..Government workers	E048	11,544	12.7	21,743,101	13.9
..Self-employed in own not incorporated business workers	E049	4,760	5.2	9,243,835	5.9
..Unpaid family workers	E050	126	0.1	290,500	0.2
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS)
.Total households	E051	78,636	100.0	122,354,219	100.0
..Less than $10,000	E052	4,862	6.2	7,145,751	5.8
..$10,000 to $14,999	E053	3,962	5.0	5,020,097	4.1
..$15,000 to $24,999	E054	8,279	10.5	10,359,700	8.5
..$25,000 to $34,999	E055	9,298	11.8	10,569,484	8.6
..$35,000 to $49,999	E056	10,705	13.6	14,690,382	12.0
..$50,000 to $74,999	E057	14,111	17.9	21,034,779	17.2
..$75,000 to $99,999	E058	9,986	12.7	15,613,243	12.8
..$100,000 to $149,999	E059	10,774	13.7	19,128,938	15.6
..$150,000 to $199,999	E060	3,094	3.9	8,688,154	7.1
..$200,000 or more	E061	3,565	4.5	10,103,691	8.3
..Median household income (dollars)	E062	53,598		64,994
..Mean household income (dollars)	E063	72,787		91,547
..With earnings	E064	58,129	73.9	95,088,085	77.7
...Mean earnings (dollars)	E065	73,772		93,265
..With Social Security	E066	29,386	37.4	38,442,718	31.4
...Mean Social Security income (dollars)	E067	20,259		20,126
..With retirement income	E068	19,132	24.3	25,872,444	21.1
...Mean retirement income (dollars)	E069	20,063		28,376
..With Supplemental Security Income	E070	4,098	5.2	6,403,843	5.2
...Mean Supplemental Security Income (dollars)	E071	9,290		10,115
..With cash public assistance income	E072	893	1.1	2,995,159	2.4
...Mean cash public assistance income (dollars)	E073	3,242		3,271
..With Food Stamp/SNAP benefits in the past 12 months	E074	9,152	11.6	13,892,407	11.4
.Families	E075	53,809	100.0	79,849,830	100.0
..Less than $10,000	E076	2,185	4.1	2,784,559	3.5
..$10,000 to $14,999	E077	1,235	2.3	1,737,891	2.2
..$15,000 to $24,999	E078	3,508	6.5	4,608,727	5.8
..$25,000 to $34,999	E079	5,510	10.2	5,671,464	7.1
..$35,000 to $49,999	E080	7,965	14.8	8,744,513	11.0
..$50,000 to $74,999	E081	9,896	18.4	13,857,979	17.4
..$75,000 to $99,999	E082	8,129	15.1	11,445,632	14.3
..$100,000 to $149,999	E083	9,502	17.7	15,185,857	19.0
..$150,000 to $199,999	E084	2,885	5.4	7,235,024	9.1
..$200,000 or more	E085	2,994	5.6	8,578,184	10.7
..Median family income (dollars)	E086	66,713		80,069
..Mean family income (dollars)	E087	84,051		107,335
.Per capita income (dollars)	E088	28,931		35,384
.Nonfamily households	E089	24,827	100.0	42,504,389	100.0
..Median nonfamily income (dollars)	E090	28,840		39,027
..Mean nonfamily income (dollars)	E091	43,871		57,648
.Median earnings for workers (dollars)	E092	31,891		36,280
.Median earnings for male full-time, year-round workers (dollars)	E093	50,593		54,323
.Median earnings for female full-time, year-round workers (dollars)	E094	35,477		44,220
HEALTH INSURANCE COVERAGE
.Civilian noninstitutionalized population	E095	198,627	100.0	321,525,041	100.0
..With health insurance coverage	E096	178,376	89.8	293,466,138	91.3
...With private health insurance	E097	133,626	67.3	218,830,578	68.1
...With public coverage	E098	74,237	37.4	113,410,193	35.3
..No health insurance coverage	E099	20,251	10.2	28,058,903	8.7
.Civilian noninstitutionalized population under 19 years	E100	47,983	100.0	77,582,280	100.0
..No health insurance coverage	E101	3,085	6.4	4,016,835	5.2
.Civilian noninstitutionalized population 19 to 64 years	E102	115,581	100.0	192,870,537	100.0
..In labor force:	E103	87,750	100.0	150,997,488	100.0
...Employed:	E104	83,213	100.0	143,214,283	100.0
....With health insurance coverage	E105	73,175	87.9	127,785,204	89.2
.....With private health insurance	E106	70,136	84.3	116,559,349	81.4
.....With public coverage	E107	6,108	7.3	15,001,155	10.5
....No health insurance coverage	E108	10,038	12.1	15,429,079	10.8
...Unemployed:	E109	4,537	100.0	7,783,205	100.0
....With health insurance coverage	E110	2,418	53.3	5,696,312	73.2
.....With private health insurance	E111	1,589	35.0	3,265,196	42.0
.....With public coverage	E112	1,017	22.4	2,677,987	34.4
....No health insurance coverage	E113	2,119	46.7	2,086,893	26.8
..Not in labor force:	E114	27,831	100.0	41,873,049	100.0
...With health insurance coverage	E115	22,969	82.5	35,748,538	85.4
....With private health insurance	E116	14,237	51.2	21,659,932	51.7
....With public coverage	E117	11,914	42.8	17,036,758	40.7
...No health insurance coverage	E118	4,862	17.5	6,124,511	14.6
PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL
.All families	E119	9.7		9.1
..With related children of the householder under 18 years	E120	15.9		14.3
...With related children of the householder under 5 years only	E121	18.4		13.5
..Married couple families	E122	4.7		4.6
...With related children of the householder under 18 years	E123	6.4		6.2
....With related children of the householder under 5 years only	E124	2.1		4.8
..Families with female householder, no spouse present	E125	28.0		25.1
...With related children of the householder under 18 years	E126	38.3		34.4
....With related children of the householder under 5 years only	E127	47.9		38.8
.All people	E128	13.6		12.8
..Under 18 years	E129	19.7		17.5
...Related children of the householder under 18 years	E130	19.2		17.2
....Related children of the householder under 5 years	E131	23.3		19.1
....Related children of the householder 5 to 17 years	E132	17.8		16.4
..18 years and over	E133	11.8		11.5
...18 to 64 years	E134	12.8		12.1
...65 years and over	E135	8.5		9.3
..People in families	E136	11.0		10.1
..Unrelated individuals 15 years and over	E137	25.9		24.2

2.4. Housing Situation.. goto topics

2.4.1. New Authorized Residential Construction.. goto topics

.. not available for this county .. goto topics


2.4.1a. New Authorized Residential Construction.. goto topics

Annual for County

Units in Structure	2015	2016	2017	2018	2019	2020	2021
Single Family, Buildings	756	803	891	966	1,050	1,279	1,229
Single Family, Units	756	803	891	966	1,050	1,279	1,229
Single Family, Value	150,095	154,863	172,667	175,451	211,601	282,388	279,732
2 Unit, Buildings	3	5	3	1	36	65	88
2 Unit, Units	6	10	6	2	72	130	176
2 Unit, Value	474	718	603	140	5,364	10,683	10,219
3-4 Unit, Buildings	3	0	0	2	0	0	3
3-4 Unit, Units	12	0	0	8	0	0	12
3-4 Unit, Value	697	0	0	370	0	0	560
5+ Unit, Buildings	9	0	2	1	5	32	1
5+ Unit, Units	90	0	34	24	40	160	8
5+ Unit, Value	5,670	0	2,745	1,501	3,778	6,421	375

2.4.2. Housing Characteristics .. goto topics
.. units in structure, year built, year moved into unit, rooms in unit, vehicles available, occupancy/vacancy, owner/renter, value, rent characteristics
    and related housing attributes.
.. based on ACS 2020 5-year data (ACS). Negative cell value indicates NA.

HOUSING CHARACTERISTICS (DP4)	ItemCode	County Estimate	County Percent	U.S. Estimate	U.S. Percent
HOUSING OCCUPANCY
.Total housing units	H001	89,095	100.0	138,432,751	100.0
..Occupied housing units	H002	78,636	88.3	122,354,219	88.4
..Vacant housing units	H003	10,459	11.7	16,078,532	11.6
..Homeowner vacancy rate	H004	1.10		1.40
..Rental vacancy rate	H005	8.20		5.80
UNITS IN STRUCTURE
.Total housing units	H006	89,095	100.0	138,432,751	100.0
..1-unit, detached	H007	62,868	70.6	85,438,643	61.7
..1-unit, attached	H008	1,445	1.6	8,222,495	5.9
..2 units	H009	1,493	1.7	4,868,926	3.5
..3 or 4 units	H010	1,542	1.7	5,989,331	4.3
..5 to 9 units	H011	3,436	3.9	6,398,241	4.6
..10 to 19 units	H012	1,990	2.2	5,988,959	4.3
..20 or more units	H013	2,047	2.3	13,018,590	9.4
..Mobile home	H014	14,223	16.0	8,374,539	6.0
..Boat, RV, van, etc.	H015	51	0.1	133,027	0.1
YEAR STRUCTURE BUILT
.Total housing units	H016	89,095	100.0	138,432,751	100.0
..Built 2014 or later	H017	4,160	4.7	4,826,244	3.5
..Built 2010 to 2013	H018	1,886	2.1	3,772,330	2.7
..Built 2000 to 2009	H019	15,038	16.9	18,872,283	13.6
..Built 1990 to 1999	H020	17,530	19.7	19,229,676	13.9
..Built 1980 to 1989	H021	12,304	13.8	18,484,475	13.4
..Built 1970 to 1979	H022	14,426	16.2	20,811,073	15.0
..Built 1960 to 1969	H023	8,845	9.9	14,506,264	10.5
..Built 1950 to 1959	H024	7,459	8.4	14,087,506	10.2
..Built 1940 to 1949	H025	3,484	3.9	6,658,408	4.8
..Built 1939 or earlier	H026	3,963	4.4	17,184,492	12.4
ROOMS
.Total housing units	H027	89,095	100.0	138,432,751	100.0
..1 room	H028	1,260	1.4	3,250,217	2.3
..2 rooms	H029	1,046	1.2	3,910,325	2.8
..3 rooms	H030	4,692	5.3	12,459,781	9.0
..4 rooms	H031	13,982	15.7	22,231,547	16.1
..5 rooms	H032	19,946	22.4	26,672,922	19.3
..6 rooms	H033	17,751	19.9	24,582,222	17.8
..7 rooms	H034	11,977	13.4	16,793,623	12.1
..8 rooms	H035	8,157	9.2	12,195,373	8.8
..9 rooms or more	H036	10,284	11.5	16,336,741	11.8
..Median rooms	H037	5.7		5.5
BEDROOMS
.Total housing units	H038	89,095	100.0	138,432,751	100.0
..No bedroom	H039	1,298	1.5	3,588,040	2.6
..1 bedroom	H040	4,284	4.8	14,957,832	10.8
..2 bedrooms	H041	21,697	24.4	35,542,796	25.7
..3 bedrooms	H042	45,604	51.2	54,448,649	39.3
..4 bedrooms	H043	12,801	14.4	23,528,958	17.0
..5 or more bedrooms	H044	3,411	3.8	6,366,476	4.6
HOUSING TENURE
.Occupied housing units	H045	78,636	100.0	122,354,219	100.0
..Owner-occupied	H046	57,104	72.6	78,801,376	64.4
..Renter-occupied	H047	21,532	27.4	43,552,843	35.6
..Average household size of owner-occupied unit	H048	2.57		2.69
..Average household size of renter-occupied unit	H049	2.36		2.45
YEAR HOUSEHOLDER MOVED INTO UNIT
.Occupied housing units	H050	78,636	100.0	122,354,219	100.0
..Moved in 2017 or later	H051	3,280	4.2	5,926,790	4.8
..Moved in 2015 to 2016	H052	20,546	26.1	34,811,034	28.5
..Moved in 2010 to 2014	H053	14,476	18.4	24,361,511	19.9
..Moved in 2000 to 2009	H054	17,855	22.7	27,220,198	22.2
..Moved in 1990 to 1999	H055	8,998	11.4	14,760,836	12.1
..Moved in 1989 and earlier	H056	13,481	17.1	15,273,850	12.5
VEHICLES AVAILABLE
.Occupied housing units	H057	78,636	100.0	122,354,219	100.0
..No vehicles available	H058	5,016	6.4	10,344,521	8.5
..1 vehicle available	H059	22,235	28.3	39,756,914	32.5
..2 vehicles available	H060	29,211	37.1	45,389,464	37.1
..3 or more vehicles available	H061	22,174	28.2	26,863,320	22.0
HOUSE HEATING FUEL
.Occupied housing units	H062	78,636	100.0	122,354,219	100.0
..Utility gas	H063	24,454	31.1	58,269,718	47.6
..Bottled, tank, or LP gas	H064	2,178	2.8	5,925,357	4.8
..Electricity	H065	50,314	64.0	48,141,177	39.3
..Fuel oil, kerosene, etc.	H066	363	0.5	5,599,403	4.6
..Coal or coke	H067	9	0.0	114,177	0.1
..Wood	H068	651	0.8	2,075,845	1.7
..Solar energy	H069	75	0.1	222,369	0.2
..Other fuel	H070	64	0.1	600,652	0.5
..No fuel used	H071	528	0.7	1,405,521	1.1
SELECTED CHARACTERISTICS
.Occupied housing units	H072	78,636	100.0	122,354,219	100.0
..Lacking complete plumbing facilities	H073	242	0.3	460,275	0.4
..Lacking complete kitchen facilities	H074	719	0.9	1,016,528	0.8
..No telephone service available	H075	984	1.3	1,976,696	1.6
OCCUPANTS PER ROOM
.Occupied housing units	H076	78,636	100.0	122,354,219	100.0
..1.00 or less	H077	76,556	97.4	118,293,570	96.7
..1.01 to 1.50	H078	1,523	1.9	2,722,626	2.2
..1.51 or more	H079	557	0.7	1,338,023	1.1
VALUE
.Owner-occupied units	H080	57,104	100.0	78,801,376	100.0
..Less than $50,000	H081	6,435	11.3	5,172,474	6.6
..$50,000 to $99,999	H082	11,300	19.8	8,698,428	11.0
..$100,000 to $149,999	H083	9,818	17.2	9,730,077	12.3
..$150,000 to $199,999	H084	10,301	18.0	10,727,302	13.6
..$200,000 to $299,999	H085	10,966	19.2	15,730,458	20.0
..$300,000 to $499,999	H086	6,126	10.7	16,173,336	20.5
..$500,000 to $999,999	H087	1,700	3.0	9,682,662	12.3
..$1,000,000 or more	H088	458	0.8	2,886,639	3.7
..Median (dollars)	H089	153,600		229,800
MORTGAGE STATUS
.Owner-occupied units	H090	57,104	100.0	78,801,376	100.0
..Housing units with a mortgage	H091	31,708	55.5	48,974,364	62.1
..Housing units without a mortgage	H092	25,396	44.5	29,827,012	37.9
SELECTED MONTHLY OWNER COSTS (SMOC)
.Housing units with a mortgage	H093	31,708	100.0	48,974,364	100.0
..Less than $500	H094	823	2.6	568,141	1.2
..$500 to $999	H095	11,847	37.4	8,020,937	16.4
..$1,000 to $1,499	H096	10,532	33.2	13,146,307	26.8
..$1,500 to $1,999	H097	5,013	15.8	10,324,027	21.1
..$2,000 to $2,499	H098	1,739	5.5	6,485,860	13.2
..$2,500 to $2,999	H099	969	3.1	3,999,769	8.2
..$3,000 or more	H100	785	2.5	6,429,323	13.1
..Median (dollars)	H101	1,123		1,621
.Housing units without a mortgage	H102	25,396	100.0	29,827,012	100.0
..Less than $250	H103	6,429	25.3	3,317,647	11.1
..$250 to $399	H104	10,639	41.9	6,680,713	22.4
..$400 to $599	H105	6,310	24.8	8,428,059	28.3
..$600 to $799	H106	1,309	5.2	5,014,006	16.8
..$800 to $999	H107	394	1.6	2,660,659	8.9
..$1,000 or more	H108	315	1.2	3,725,928	12.5
..Median (dollars)	H109	336		509
SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI)
.Housing units with a mortgage (excluding units where SMOCAPI cannot be computed)	H110	31,580	100.0	48,744,731	100.0
..Less than 20.0 percent	H111	18,848	59.7	22,762,635	46.7
..20.0 to 24.9 percent	H112	4,340	13.7	7,593,802	15.6
..25.0 to 29.9 percent	H113	2,639	8.4	5,044,205	10.3
..30.0 to 34.9 percent	H114	1,455	4.6	3,314,853	6.8
..35.0 percent or more	H115	4,298	13.6	10,029,236	20.6
..Not computed	H116	128	-1.0	229,633	-1.0
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed)	H117	25,077	100.0	29,428,138	100.0
..Less than 10.0 percent	H118	14,358	57.3	13,449,955	45.7
..10.0 to 14.9 percent	H119	4,187	16.7	5,686,876	19.3
..15.0 to 19.9 percent	H120	2,045	8.2	3,208,798	10.9
..20.0 to 24.9 percent	H121	1,478	5.9	1,935,622	6.6
..25.0 to 29.9 percent	H122	686	2.7	1,248,280	4.2
..30.0 to 34.9 percent	H123	731	2.9	834,409	2.8
..35.0 percent or more	H124	1,592	6.3	3,064,198	10.4
..Not computed	H125	319	-1.0	398,874	-1.0
GROSS RENT
.Occupied units paying rent	H126	19,837	100.0	41,390,514	100.0
..Less than $500	H127	2,621	13.2	3,679,331	8.9
..$500 to $999	H128	12,702	64.0	14,206,622	34.3
..$1,000 to $1,499	H129	3,672	18.5	12,515,982	30.2
..$1,500 to $1,999	H130	416	2.1	6,187,736	14.9
..$2,000 to $2,499	H131	248	1.3	2,558,549	6.2
..$2,500 to $2,999	H132	178	0.9	1,088,264	2.6
..$3,000 or more	H133	0	100.0	1,154,030	100.0
..Median (dollars)	H134	791		1,096
..No rent paid	H135	1,695	-1.0	2,162,329	-1.0
GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI)
.Occupied units paying rent (excluding units where GRAPI cannot be computed)	H136	19,468	100.0	40,484,226	100.0
..Less than 15.0 percent	H137	2,808	14.4	5,405,002	13.4
..15.0 to 19.9 percent	H138	2,841	14.6	5,254,304	13.0
..20.0 to 24.9 percent	H139	2,856	14.7	5,227,400	12.9
..25.0 to 29.9 percent	H140	2,149	11.0	4,711,468	11.6
..30.0 to 34.9 percent	H141	1,970	10.1	3,679,430	9.1
..35.0 percent or more	H142	6,844	35.2	16,206,622	40.0
..Not computed	H143	2,064	-1.0	3,068,617	-1.0

3.1 Industry by Sector Characteristics .. goto topics

Establishments, Employment, Wages QCEW -- 2022Q1
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	4,169	100.0	68,721	100.0	800,398,471	100.0	896
Total, Federal	10	1	20	0.5	383	0.6	6,099,676	0.8	1,226
Total, State	10	2	31	0.7	1,551	2.3	17,307,530	2.2	858
Total, Local	10	3	88	2.1	10,305	15.0	133,231,000	16.6	995
Total, Private	10	5	4,030	96.7	56,482	82.2	643,760,265	80.4	877
Agriculture, forestry, fishing and hunting	11	5	28	0.7	180	0.3	1,908,107	0.2	817
Crop production	111	5	6	0.1	0	0.0	0	0.0	0
Animal production	112	5	4	0.1	7	0.0	73,101	0.0	803
Forestry and logging	113	5	10	0.2	26	0.0	233,336	0.0	690
Fishing, hunting and trapping	114	5	1	0.0	0	0.0	0	0.0	0
Agriculture and forestry support activities	115	5	7	0.2	10	0.0	60,124	0.0	448
Mining	21	5	6	0.1	87	0.1	1,594,913	0.2	1,416
Mining, except oil and gas	212	5	6	0.1	87	0.1	1,594,913	0.2	1,416
Utilities	22	2	1	0.0	0	0.0	0	0.0	0
Utilities	22	3	1	0.0	0	0.0	0	0.0	0
Utilities	22	5	23	0.6	292	0.4	7,627,148	1.0	2,012
Utilities	221	2	1	0.0	0	0.0	0	0.0	0
Utilities	221	3	1	0.0	0	0.0	0	0.0	0
Utilities	221	5	23	0.6	292	0.4	7,627,148	1.0	2,012
Construction	23	5	401	9.6	2,823	4.1	34,826,011	4.4	949
Construction of buildings	236	5	114	2.7	743	1.1	11,412,280	1.4	1,181
Heavy and civil engineering construction	237	5	26	0.6	240	0.3	2,884,319	0.4	926
Specialty trade contractors	238	5	261	6.3	1,840	2.7	20,529,412	2.6	858
Manufacturing	31-33	5	245	5.9	16,741	24.4	261,455,864	32.7	1,201
Food manufacturing	311	5	9	0.2	401	0.6	5,221,601	0.7	1,002
Beverage and tobacco product manufacturing	312	5	6	0.1	92	0.1	1,135,535	0.1	949
Textile mills	313	5	17	0.4	1,816	2.6	24,822,791	3.1	1,051
Textile product mills	314	5	5	0.1	0	0.0	0	0.0	0
Apparel manufacturing	315	5	4	0.1	0	0.0	0	0.0	0
Leather and allied product manufacturing	316	5	2	0.0	0	0.0	0	0.0	0
Wood product manufacturing	321	5	9	0.2	209	0.3	2,364,706	0.3	869
Paper manufacturing	322	5	6	0.1	0	0.0	0	0.0	0
Printing and related support activities	323	5	19	0.5	239	0.3	3,292,565	0.4	1,058
Chemical manufacturing	325	5	10	0.2	150	0.2	2,888,556	0.4	1,478
Plastics and rubber products manufacturing	326	5	20	0.5	2,372	3.5	37,725,323	4.7	1,223
Nonmetallic mineral product manufacturing	327	5	11	0.3	347	0.5	6,710,035	0.8	1,487
Primary metal manufacturing	331	5	2	0.0	0	0.0	0	0.0	0
Fabricated metal product manufacturing	332	5	49	1.2	865	1.3	10,470,369	1.3	931
Machinery manufacturing	333	5	26	0.6	2,947	4.3	60,964,442	7.6	1,591
Computer and electronic product manufacturing	334	5	6	0.1	31	0.0	301,293	0.0	740
Electrical equipment and appliance manufacturing	335	5	4	0.1	0	0.0	0	0.0	0
Transportation equipment manufacturing	336	5	10	0.2	1,877	2.7	31,571,731	3.9	1,294
Furniture and related product manufacturing	337	5	5	0.1	39	0.1	364,937	0.0	714
Miscellaneous manufacturing	339	5	25	0.6	360	0.5	3,871,432	0.5	827
Wholesale trade	42	5	175	4.2	2,634	3.8	43,272,502	5.4	1,264
Merchant wholesalers, durable goods	423	5	99	2.4	1,675	2.4	29,845,900	3.7	1,371
Merchant wholesalers, nondurable goods	424	5	43	1.0	676	1.0	7,653,947	1.0	871
Electronic markets and agents and brokers	425	5	33	0.8	283	0.4	5,772,655	0.7	1,569
Retail trade	44-45	3	1	0.0	0	0.0	0	0.0	0
Retail trade	44-45	5	672	16.1	8,932	13.0	69,185,650	8.6	596
Motor vehicle and parts dealers	441	5	119	2.9	1,294	1.9	16,090,897	2.0	957
Building material and garden supply stores	444	5	39	0.9	842	1.2	6,247,328	0.8	571
Food and beverage stores	445	5	76	1.8	1,732	2.5	9,872,823	1.2	438
Food and beverage stores	449	5	51	1.2	379	0.6	3,771,494	0.5	765
Food and beverage stores	455	5	81	1.9	2,145	3.1	15,478,750	1.9	555
Food and beverage stores	456	3	1	0.0	0	0.0	0	0.0	0
Food and beverage stores	456	5	83	2.0	627	0.9	5,982,523	0.7	734
Food and beverage stores	457	5	88	2.1	753	1.1	4,642,596	0.6	474
Food and beverage stores	458	5	58	1.4	444	0.6	1,940,694	0.2	336
Food and beverage stores	459	5	77	1.8	717	1.0	5,158,545	0.6	553
Transportation and warehousing	48-49	1	11	0.3	254	0.4	3,658,154	0.5	1,109
Transportation and warehousing	48-49	5	107	2.6	2,311	3.4	29,398,972	3.7	979
Water transportation	483	5	1	0.0	0	0.0	0	0.0	0
Truck transportation	484	5	66	1.6	689	1.0	9,398,479	1.2	1,050
Transit and ground passenger transportation	485	5	3	0.1	0	0.0	0	0.0	0
Support activities for transportation	488	5	15	0.4	119	0.2	2,512,282	0.3	1,619
Postal service	491	1	11	0.3	254	0.4	3,658,154	0.5	1,109
Couriers and messengers	492	5	8	0.2	303	0.4	3,189,802	0.4	810
Warehousing and storage	493	5	14	0.3	1,194	1.7	14,266,599	1.8	919
Information	51	3	1	0.0	0	0.0	0	0.0	0
Information	51	5	57	1.4	370	0.5	5,676,332	0.7	1,179
Motion picture and sound recording industries	512	5	5	0.1	53	0.1	172,549	0.0	250
Motion picture and sound recording industries	513	5	19	0.5	63	0.1	1,096,690	0.1	1,332
Internet publishing and broadcasting	516	5	2	0.0	0	0.0	0	0.0	0
Telecommunications	517	5	14	0.3	187	0.3	3,287,846	0.4	1,355
ISPs, search portals, and data processing	518	5	10	0.2	53	0.1	977,934	0.1	1,428
Other information services	519	3	1	0.0	0	0.0	0	0.0	0
Other information services	519	5	7	0.2	0	0.0	0	0.0	0
Finance and insurance	52	1	1	0.0	5	0.0	89,562	0.0	1,476
Finance and insurance	52	5	223	5.3	1,006	1.5	15,659,103	2.0	1,197
Credit intermediation and related activities	522	1	1	0.0	5	0.0	89,562	0.0	1,476
Credit intermediation and related activities	522	5	96	2.3	603	0.9	9,001,082	1.1	1,148
Securities, commodity contracts, investments	523	5	30	0.7	0	0.0	0	0.0	0
Insurance carriers and related activities	524	5	94	2.3	339	0.5	4,562,481	0.6	1,034
Funds, trusts, and other financial vehicles	525	5	3	0.1	0	0.0	0	0.0	0
Real estate and rental and leasing	53	3	1	0.0	0	0.0	0	0.0	0
Real estate and rental and leasing	53	5	165	4.0	497	0.7	5,370,516	0.7	832
Real estate	531	3	1	0.0	0	0.0	0	0.0	0
Real estate	531	5	138	3.3	363	0.5	3,728,202	0.5	791
Rental and leasing services	532	5	27	0.6	134	0.2	1,642,314	0.2	943
Professional and technical services	54	5	393	9.4	1,921	2.8	22,640,698	2.8	906
Professional and technical services	541	5	393	9.4	1,921	2.8	22,640,698	2.8	906
Management of companies and enterprises	55	5	19	0.5	179	0.3	6,074,835	0.8	2,611
Management of companies and enterprises	551	5	19	0.5	179	0.3	6,074,835	0.8	2,611
Administrative and waste services	56	2	1	0.0	0	0.0	0	0.0	0
Administrative and waste services	56	5	212	5.1	2,061	3.0	16,827,412	2.1	628
Administrative and support services	561	5	194	4.7	1,909	2.8	14,932,646	1.9	602
Waste management and remediation services	562	2	1	0.0	0	0.0	0	0.0	0
Waste management and remediation services	562	5	18	0.4	152	0.2	1,894,766	0.2	959
Educational services	61	2	2	0.0	0	0.0	0	0.0	0
Educational services	61	3	51	1.2	4,466	6.5	48,962,078	6.1	843
Educational services	61	5	44	1.1	1,024	1.5	11,442,337	1.4	859
Educational services	611	2	2	0.0	0	0.0	0	0.0	0
Educational services	611	3	51	1.2	4,466	6.5	48,962,078	6.1	843
Educational services	611	5	44	1.1	1,024	1.5	11,442,337	1.4	859
Health care and social assistance	62	1	1	0.0	69	0.1	1,437,340	0.2	1,602
Health care and social assistance	62	2	3	0.1	0	0.0	0	0.0	0
Health care and social assistance	62	3	19	0.5	3,736	5.4	61,898,901	7.7	1,274
Health care and social assistance	62	5	488	11.7	6,301	9.2	64,274,667	8.0	785
Ambulatory health care services	621	1	1	0.0	69	0.1	1,437,340	0.2	1,602
Ambulatory health care services	621	2	1	0.0	0	0.0	0	0.0	0
Ambulatory health care services	621	3	13	0.3	223	0.3	3,510,853	0.4	1,213
Ambulatory health care services	621	5	252	6.0	3,111	4.5	41,866,079	5.2	1,035
Hospitals	622	2	1	0.0	0	0.0	0	0.0	0
Hospitals	622	3	3	0.1	0	0.0	0	0.0	0
Hospitals	622	5	13	0.3	0	0.0	0	0.0	0
Nursing and residential care facilities	623	3	2	0.0	0	0.0	0	0.0	0
Nursing and residential care facilities	623	5	44	1.1	0	0.0	0	0.0	0
Social assistance	624	2	1	0.0	0	0.0	0	0.0	0
Social assistance	624	3	1	0.0	0	0.0	0	0.0	0
Social assistance	624	5	179	4.3	1,510	2.2	6,355,517	0.8	324
Arts, entertainment, and recreation	71	5	47	1.1	594	0.9	2,291,632	0.3	297
Performing arts and spectator sports	711	5	12	0.3	0	0.0	0	0.0	0
Museums, historical sites, zoos, and parks	712	5	2	0.0	0	0.0	0	0.0	0
Amusements, gambling, and recreation	713	5	33	0.8	561	0.8	2,085,658	0.3	286
Accommodation and food services	72	5	411	9.9	7,171	10.4	31,873,092	4.0	342
Accommodation	721	5	44	1.1	399	0.6	2,641,557	0.3	509
Food services and drinking places	722	5	367	8.8	6,772	9.9	29,231,535	3.7	332
Other services, except public administration	81	5	308	7.4	1,345	2.0	12,230,818	1.5	700
Repair and maintenance	811	5	150	3.6	699	1.0	7,089,128	0.9	781
Personal and laundry services	812	5	90	2.2	501	0.7	3,673,076	0.5	564
Membership associations and organizations	813	5	26	0.6	114	0.2	1,342,557	0.2	906
Private households	814	5	42	1.0	31	0.0	126,057	0.0	309
Public administration	92	1	7	0.2	55	0.1	914,620	0.1	1,271
Public administration	92	2	24	0.6	516	0.8	5,386,362	0.7	802
Public administration	92	3	14	0.3	1,966	2.9	21,177,663	2.6	829
Executive, legislative and general government	921	2	3	0.1	0	0.0	0	0.0	0
Executive, legislative and general government	921	3	10	0.2	1,922	2.8	20,764,926	2.6	831
Justice, public order, and safety activities	922	1	1	0.0	5	0.0	144,036	0.0	2,216
Justice, public order, and safety activities	922	2	4	0.1	43	0.1	551,983	0.1	987
Justice, public order, and safety activities	922	3	2	0.0	0	0.0	0	0.0	0
Administration of human resource programs	923	1	1	0.0	31	0.0	567,840	0.1	1,394
Administration of human resource programs	923	2	7	0.2	316	0.5	3,273,641	0.4	797
Administration of human resource programs	923	3	1	0.0	0	0.0	0	0.0	0
Administration of environmental programs	924	1	2	0.0	7	0.0	84,702	0.0	931
Administration of environmental programs	924	2	3	0.1	0	0.0	0	0.0	0
Administration of environmental programs	924	3	1	0.0	0	0.0	0	0.0	0
Administration of economic programs	926	1	2	0.0	5	0.0	12,064	0.0	186
Administration of economic programs	926	2	7	0.2	139	0.2	1,381,993	0.2	763
National security and international affairs	928	1	1	0.0	7	0.0	105,978	0.0	1,165
Unclassified establishments	99	5	6	0.1	14	0.0	129,656	0.0	696
Unclassified establishments	999	5	6	0.1	14	0.0	129,656	0.0	696

4.1 Census Tract Demographic-Economic Characteristics .. goto topics

There are 51 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_acs20_base.dbf has been written to your computer and used to develop the following table. See about census tracts .. additional tract data resources

GEOID	TOTPOPA20	MPOPA20	FPOPA20	WHITE1A20	BLACK1A20	AIAN1A20	ASIAN1A20	NHOPI1A20	OTHER1A20	MULTIA20	HISPA20	POP65UPA20	POPHHA20	HHA20	FAMA20	POP25UPA20	HSGRADMA20	HSGRADFA20	TOTHSGA20	OWNOCCA20	RNTOCCA20	VACANTA20	MHIA20	MFIA20	MHVA20	MDRENTA20	GINIA20
45007000200	4,487	1,966	2,521	4,180	205	0	6	0	0	96	80	752	3,531	1,625	842	2,331	228	320	1,625	1,081	544	33	51,361	70,893	159,600	797	1
45007000300	4,759	1,992	2,767	3,488	1,003	0	14	0	93	161	297	1,009	4,433	2,131	876	3,425	306	576	2,131	961	1,170	210	53,261	90,893	173,500	1,049	0
45007000500	2,862	1,346	1,516	763	2,000	0	14	0	0	85	101	653	2,862	1,133	758	1,854	325	490	1,133	823	310	73	33,717	33,281	109,500	867	0
45007000600	3,222	1,502	1,720	1,144	2,045	0	0	0	0	33	305	695	3,038	1,516	684	2,403	335	528	1,516	494	1,022	295	23,989	37,212	68,900	646	0
45007000701	2,935	1,496	1,439	988	1,757	0	0	0	103	87	123	606	2,923	1,286	632	1,932	285	409	1,286	486	800	214	23,597	34,097	51,000	694	0
45007000702	1,858	953	905	805	981	7	0	0	0	65	34	307	1,786	877	510	1,413	308	244	877	413	464	195	25,580	26,367	33,900	649	0
45007000800	3,301	1,548	1,753	2,015	1,110	94	0	0	0	82	501	391	3,280	1,280	727	2,276	224	548	1,280	663	617	82	34,385	56,550	65,400	714	0
45007000900	3,203	1,673	1,530	1,731	1,214	0	0	10	9	239	223	536	3,114	1,309	833	2,156	354	310	1,309	557	752	126	31,398	34,859	105,500	758	0
45007001000	2,294	1,225	1,069	1,869	340	0	0	0	10	75	125	275	2,294	1,240	577	1,673	299	179	1,240	430	810	74	48,646	60,255	112,000	935	0
45007001100	4,989	2,308	2,681	4,627	223	89	8	0	9	33	122	1,001	4,989	2,135	1,263	3,363	429	356	2,135	1,434	701	209	53,920	85,139	172,900	684	0
45007010103	8,745	4,374	4,371	7,217	530	9	154	0	492	343	720	1,118	8,745	3,019	2,325	5,838	667	687	3,019	2,694	325	305	73,590	88,013	231,100	946	0
45007010105	2,492	1,357	1,135	1,883	535	0	74	0	0	0	2	330	2,481	1,096	639	1,771	289	165	1,096	470	626	132	57,419	65,575	159,500	838	0
45007010106	5,820	2,949	2,871	5,447	64	22	0	0	0	287	373	619	5,820	2,105	1,661	4,429	328	279	2,105	1,871	234	119	105,678	110,650	223,400	1,009	0
45007010107	3,528	1,708	1,820	3,352	127	6	0	0	0	43	0	593	3,528	1,173	1,001	2,328	259	429	1,173	1,130	43	151	99,438	99,438	218,600	605	0
45007010108	5,454	2,793	2,661	4,937	352	0	75	0	0	90	45	705	5,454	1,954	1,528	3,503	378	280	1,954	1,682	272	60	80,000	86,435	230,000	853	0
45007010200	5,797	2,736	3,061	4,584	410	1	209	0	363	230	363	802	5,713	2,003	1,460	4,068	790	589	2,003	1,629	374	252	49,661	59,087	149,800	816	1
45007010300	4,170	2,128	2,042	3,736	173	0	0	0	175	86	412	635	4,170	1,556	1,140	2,767	521	710	1,556	1,040	516	201	43,892	46,136	115,600	723	0
45007010403	3,670	1,716	1,954	3,094	208	0	0	0	122	246	146	675	3,670	1,421	883	2,283	386	482	1,421	959	462	178	50,508	71,095	126,100	726	0
45007010404	2,974	1,363	1,611	2,637	282	1	0	0	0	54	113	590	2,969	1,242	790	2,121	463	262	1,242	846	396	330	55,851	68,438	134,900	731	0
45007010405	3,882	1,723	2,159	3,451	312	0	0	0	68	51	225	663	3,882	1,525	1,182	2,748	472	523	1,525	1,121	404	0	49,044	59,868	114,200	803	0
45007010406	2,783	1,616	1,167	2,579	27	6	0	0	35	136	190	554	2,783	1,307	659	2,009	247	233	1,307	803	504	64	53,366	49,031	125,300	1,109	0
45007010501	4,071	1,821	2,250	3,608	214	0	122	0	113	14	146	1,032	4,071	1,516	1,305	2,837	187	287	1,516	1,200	316	72	65,130	61,506	256,100	1,077	0
45007010502	3,279	1,780	1,499	2,821	215	16	109	0	113	5	145	483	3,279	1,152	967	2,119	262	304	1,152	1,025	127	41	73,571	63,671	152,800	839	0
45007010601	3,627	1,907	1,720	3,047	508	16	0	0	0	56	9	620	3,627	1,539	1,144	2,872	385	600	1,539	1,483	56	383	82,831	98,421	201,300	754	0
45007010602	4,175	2,005	2,170	3,972	34	0	51	23	0	95	122	863	4,175	1,642	1,343	3,222	508	457	1,642	1,334	308	286	85,548	95,603	218,800	642	0
45007010701	1,793	853	940	1,514	199	6	6	16	0	52	0	394	1,793	945	610	1,465	129	172	945	611	334	204	-6	-6	158,000	888	1
45007010702	5,084	2,214	2,870	3,447	1,401	0	72	0	31	133	2	659	5,069	1,914	1,072	2,981	370	531	1,914	1,161	753	106	55,813	68,947	149,300	882	0
45007010800	4,838	2,809	2,029	4,363	354	0	0	0	0	121	26	1,380	4,838	2,261	1,406	3,761	442	424	2,261	1,891	370	295	59,159	87,500	202,200	826	0
45007010900	4,109	2,049	2,060	4,000	67	8	6	0	0	28	2	953	4,109	1,680	1,258	3,023	367	484	1,680	1,434	246	1,291	65,347	72,059	259,900	737	0
45007011001	5,199	2,552	2,647	4,626	408	0	0	0	11	154	11	1,115	5,199	2,096	1,578	3,803	566	764	2,096	1,860	236	258	66,781	81,389	182,400	1,168	0
45007011002	4,160	1,890	2,270	3,516	386	0	69	0	0	189	79	726	4,160	1,660	1,146	3,005	478	520	1,660	1,426	234	138	59,868	78,056	161,800	828	0
45007011100	2,529	1,218	1,311	1,975	272	4	226	0	36	16	9	540	2,489	1,018	603	1,741	294	337	1,018	687	331	227	46,136	54,938	154,400	820	0
45007011201	4,590	2,083	2,507	3,914	304	0	239	0	31	102	270	1,224	4,590	1,861	1,332	3,314	317	320	1,861	1,625	236	103	99,954	108,446	260,500	2,194	0
45007011203	4,469	1,768	2,701	3,946	319	0	110	0	0	94	0	971	4,407	1,713	1,265	3,185	212	511	1,713	1,499	214	75	78,545	85,464	171,600	2,070	0
45007011204	5,016	2,666	2,350	4,121	588	0	216	0	0	91	438	593	5,016	1,675	1,526	3,340	374	248	1,675	1,420	255	70	76,549	75,142	271,100	1,015	0
45007011301	3,287	1,739	1,548	2,971	97	0	48	0	154	17	161	545	3,177	1,147	914	2,322	314	316	1,147	1,109	38	201	57,264	64,590	130,800	-6	0
45007011302	3,548	1,878	1,670	2,610	838	0	0	0	0	100	73	828	3,279	1,273	862	2,618	530	533	1,273	1,048	225	198	63,848	73,953	114,000	723	0
45007011401	4,493	1,966	2,527	3,888	493	0	5	0	9	98	116	675	4,488	1,632	1,040	2,954	538	694	1,632	1,253	379	199	45,726	67,692	110,800	720	1
45007011402	3,084	1,452	1,632	2,186	731	9	0	0	39	119	74	577	3,063	1,319	858	2,137	441	396	1,319	857	462	137	30,495	40,393	85,000	677	0
45007011501	2,896	1,436	1,460	2,803	67	10	16	0	0	0	1	583	2,884	1,074	815	1,952	266	199	1,074	876	198	144	56,065	70,956	116,700	741	0
45007011502	2,874	1,333	1,541	2,404	390	0	0	0	0	80	140	697	2,874	999	743	1,958	477	408	999	683	316	228	36,425	63,194	87,000	629	0
45007011600	1,995	1,013	982	1,818	115	0	0	0	0	62	25	376	1,995	740	614	1,372	311	255	740	624	116	104	56,538	73,229	98,800	-6	0
45007011701	1,991	926	1,065	1,900	82	0	0	0	0	9	0	526	1,991	867	757	1,518	285	343	867	837	30	226	42,214	42,331	114,000	-6	0
45007011702	3,527	1,510	2,017	3,001	441	0	0	0	19	66	66	701	3,467	1,364	959	2,449	494	505	1,364	1,031	333	260	48,807	56,387	81,200	637	0
45007011800	3,610	1,878	1,732	3,154	343	0	0	0	0	113	0	881	3,610	1,659	1,089	2,811	685	480	1,659	1,269	390	204	36,139	51,194	93,900	665	0
45007011901	5,961	2,493	3,468	3,152	2,497	0	27	0	208	77	182	1,148	5,961	2,182	1,561	4,079	649	505	2,182	1,149	1,033	380	33,083	33,740	66,700	782	0
45007011902	2,684	1,109	1,575	1,116	1,444	0	20	0	0	104	24	439	2,674	1,054	712	1,799	425	355	1,054	585	469	152	39,216	43,389	98,000	708	0
45007012001	4,950	2,159	2,791	4,110	789	16	0	0	0	35	189	884	4,950	2,108	1,296	3,371	468	624	2,108	1,596	512	310	48,413	60,114	152,100	766	0
45007012002	5,483	2,736	2,747	3,904	1,091	1	0	0	71	416	285	1,183	5,483	2,160	1,684	3,546	465	608	2,160	1,935	225	92	60,455	51,176	99,900	771	0
45007012200	6,094	3,108	2,986	5,479	392	0	0	0	108	115	587	655	6,089	2,066	1,651	3,699	522	526	2,066	1,637	429	506	49,155	55,938	98,800	742	0
45007012300	3,542	1,604	1,938	837	2,657	0	0	0	13	35	13	233	3,430	1,387	729	2,008	355	319	1,387	372	1,015	266	30,122	31,353	113,500	672	1

Thematic Pattern & Reference Maps for Anderson County, SC & Vicinity
View patterns of economic prosperity by block group for this area using the Visual Data Analytics (VDA) Web GIS.

Follow these steps:
  • Sign in and choose the "MetroDynamics" 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 45007 .. 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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