Situation & Outlook Report
  Pickens 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 Pickens County, SC.
.. See more details using the table of contents below this summary.

Pickens 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 77 total units with total value of $33,906,086 compared to August 2021 62 total units with total value of $41,440,606. 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 51,363 (2010) to 56,232 (2020), a change of 4,869 (9.5%). 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 Pickens County, SC changed from 119,344 (2010) to 127,983 (2020), a change of 8,639 (7.2%).

Components of population change during the 2010-2020 period were births 12,105, deaths 11,931, and net migration 8,465. The population natural increase, births less deaths, was 174.

The 7/1/20 model-based population estimate was 131,602 compared to the 7/1/21 model-based population estimate of 132,229. Components of change over the year were births 1,215, deaths 1,531, international migration 77, domestic migration 850. The net migration was 927. The natural increase was -316.

Income. The median household income changed from $40,110 in 2010 to $54,588, a change of $14,478 ( 36.1%).

Poverty. The number of people in poverty (all ages) changed from 19,018 in 2010 to 18,343, a change of -675 ( -3.5%). The poverty rate (all ages) changed from 17.0 in 2010 to 15.3, a change of -1.7 ( -10.0%).

Easley city .. the largest city in Pickens County, SC. The 7/1/20 model-based population estimate of Easley city was 23,009 compared to the 7/1/21 model-based population estimate of 23,064, a change of 55 or 0.2%. See more about Easley 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.

Pickens 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

$40,110

5,110

21.5

23,757

3,225

18.5

17,392

19,018

17.0

111,927

2011

$40,221

5,522

23.5

23,450

3,400

19.7

17,230

22,193

19.8

112,323

2012

$39,823

4,882

20.8

23,459

3,319

19.1

17,337

21,012

18.7

112,474

2013

$42,400

5,025

21.7

23,204

3,373

19.5

17,254

21,060

18.7

112,524

2014

$41,375

5,072

21.9

23,191

3,458

20.0

17,275

22,174

19.5

113,510

2015

$44,091

4,506

19.4

23,267

3,178

18.4

17,306

20,751

18.1

114,556

2016

$46,154

4,201

17.9

23,443

3,038

17.7

17,201

17,297

14.9

115,787

2017

$48,133

3,669

15.8

23,212

2,638

15.6

16,917

17,775

15.3

116,130

2018

$48,794

4,024

17.3

23,245

2,675

15.8

16,964

19,471

16.6

117,575

2019

$52,949

3,557

15.5

22,981

2,508

14.8

16,933

18,055

15.3

118,173

2020

$54,588

3,385

14.5

23,345

2,532

14.7

17,260

18,343

15.3

119,517

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 Pickens County, SC to other areas using this interactive table.

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

02. How & Why Pickens County, SC is Changing .. goto topics
Pickens County, SC (45077), part of Greenville-Anderson, SC MSA (24860), changed in population from 119,344 (2010) to 127,983 (2020), a change of 8,639 (7.2%).
Factors accounting the change over the decade 2010 to 2020 include:
  • Births 2010-2020: 12,105
  • Deaths 2010-2020: 11,931
  • Natural Increase 2010-2020: 174
  • Net Migration 2010-2020: 8,465

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

Population 7/1/20	131,602
Births 6/30/19-7/1/20	1,280
Deaths 6/30/19-7/1/20	1,560
Natural Increase 6/30/19-7/1/20	-280
International Migration 6/30/19-7/1/20	20
Domestic Migration 6/30/19-7/1/20	1,056
Net Migration 6/30/19-7/1/20	1,076
Population 7/1/21	132,229
Births 6/30/20-7/1/21	1,215
Deaths 6/30/20-7/1/21	1,531
Natural Increase 6/30/20-7/1/21	-316
International Migration 6/30/20-7/1/21	77
Domestic Migration 6/30/20-7/1/21	850
Net Migration 6/30/20-7/1/21	927

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

Pickens 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	119,224	100.0	131,404	100.0	12,180	10.2
One race	117,448	98.5	123,668	94.1	6,220	5.3
White alone	105,747	88.7	108,696	82.7	2,949	2.8
Black alone	7,854	6.6	8,528	6.5	674	8.6
American India/Alaskan Native alone	230	0.2	423	0.3	193	83.9
Asian alone	1,913	1.6	2,735	2.1	822	43.0
Native Hawaiian and Other Pacific Islander alone	14	0.0	37	0.0	23	164.3
Other race	1,690	1.4	3,249	2.5	1,559	92.2
Two or more races	1,776	1.5	7,736	5.9	5,960	335.6
White, Non-Hispanic	103,958	87.2	107,247	81.6	3,289	3.2
Black Non-Hispanic	7,792	6.5	8,421	6.4	629	8.1
Hispanic (of any race)	3,743	3.1	6,572	5.0	2,829	75.6
Total population, 18 years or older	94,937	79.6	107,066	81.5	12,129	12.8
One race	94,040	78.9	101,864	77.5	7,824	8.3
White alone	84,988	71.3	89,970	68.5	4,982	5.9
Black alone	6,120	5.1	6,924	5.3	804	13.1
American India/Alaskan Native alone	190	0.2	352	0.3	162	85.3
Asian alone	1,632	1.4	2,370	1.8	738	45.2
Native Hawaiian and Other Pacific Islander alone	11	0.0	27	0.0	16	145.5
Other race	1,099	0.9	2,221	1.7	1,122	102.1
Two or more races	897	0.8	5,202	4.0	4,305	479.9
White, Non-Hispanic	83,809	70.3	88,993	67.7	5,184	6.2
Black Non-Hispanic	6,076	5.1	6,852	5.2	776	12.8
Hispanic (of any race)	2,438	2.0	4,451	3.4	2,013	82.6
Group Quarters population	7,053	5.9	9,035	6.9	1,982	28.1
Group Quarters, institutionalized population	704	0.6	976	0.7	272	38.6
Group Quarters, noninstitutionalized population	6,349	5.3	8,059	6.1	1,710	26.9
Housing Units	51,244	100.0	56,385	100.0	5,141	10.0
Occupied	45,228	88.3	50,364	89.3	5,136	11.4
Vacant	6,016	11.7	6,021	10.7	5	0.1

1.1 Population & Components of Change .. goto topics

Based on Census Bureau model-based population estimates, the Pickens County, SC population changed from 119,344 in 2010 to 127,983 in 2020, a change of 8,639 (7.2%).

Population/Component	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
Population	119,344	119,735	119,863	119,333	120,651	121,637	123,180	123,590	125,176	126,974	127,983
Births	288	1,210	1,203	1,148	1,234	1,291	1,262	1,160	1,133	1,252	1,212
Deaths	248	1,036	1,101	1,126	1,190	1,206	1,176	1,195	1,252	1,280	1,369
Natural Increase	40	174	102	22	44	85	86	-35	-119	-28	-157
Net Migration	-76	221	40	-560	1,265	908	1,453	452	1,698	1,823	1,165
International	40	166	216	183	294	261	177	146	158	176	134
Domestic	134	-116	55	-176	-743	971	647	1,276	306	1,540	1,647
Group Quarters	7,054	7,033	7,021	6,597	6,801	6,863	7,151	7,178	7,721	8,295	8,297

Examine population estimates/components of change and compare Pickens 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	0	0	0	0	0	0	0	0	0	0
Norris town 4550515	810	813	815	813	810	816	821	814	818	824
Central town 4513015	5,194	5,186	5,147	5,143	5,165	5,205	5,230	5,232	5,358	5,385
Clemson city (part) 4514950	13,905	13,946	14,001	14,063	14,888	15,203	15,803	16,580	17,023	17,449
Easley city (part) 4521985	20,047	20,088	20,031	20,083	20,385	20,509	20,675	21,009	21,130	21,302
Liberty city 4541380	3,252	3,256	3,240	3,218	3,198	3,197	3,203	3,162	3,161	3,154
Pickens city 4556140	3,108	3,118	3,125	3,110	3,113	3,164	3,176	3,147	3,159	3,170
Six Mile town 4566760	666	669	670	666	666	669	672	668	670	672
Balance of Pickens County 4599990	72,355	72,622	72,778	72,153	72,318	72,737	73,440	72,906	73,906	74,928

Examine city/place population estimates and compare places in Pickens County, SC to other areas using this interactive table.
.. use the county code 45077 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 368 mover partner areas for Pickens County, SC. There were a total inbound movers of 15183 and a total outbound movers of 9943, for a net movers of 4677 (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_45077.dbf.

Residence 1 Year Age	Geocode	Moved to 45077	Moved from 45077	Net Movers
Africa	null	105	null	null
Asia	null	350	null	null
Central America	null	8	null	null
Europe	null	52	null	null
Northern America	null	16	null	null
Oceania and At Sea	null	12	null	null
South America	null	20	null	null
Baldwin County, Alabama	01003	1	0	1
Houston County, Alabama	01069	0	3	-3
Jefferson County, Alabama	01073	79	11	68
Mobile County, Alabama	01097	23	0	23
Shelby County, Alabama	01117	0	28	-28
Tuscaloosa County, Alabama	01125	10	0	10
Pima County, Arizona	04019	0	7	-7
Pulaski County, Arkansas	05119	0	60	-60
Sebastian County, Arkansas	05131	0	5	-5
Washington County, Arkansas	05143	14	0	14
Contra Costa County, California	06013	102	0	102
Los Angeles County, California	06037	4	15	-11
Monterey County, California	06053	0	11	-11
Orange County, California	06059	45	38	7
San Diego County, California	06073	7	16	-9
San Joaquin County, California	06077	0	6	-6
Tulare County, California	06107	11	0	11
Yuba County, California	06115	0	11	-11
Boulder County, Colorado	08013	0	16	-16
Broomfield County, Colorado	08014	0	21	-21
Chaffee County, Colorado	08015	6	0	6
Pitkin County, Colorado	08097	5	0	5
Fairfield County, Connecticut	09001	61	0	61
Hartford County, Connecticut	09003	84	10	74
Middlesex County, Connecticut	09007	9	0	9
New Haven County, Connecticut	09009	10	0	10
Tolland County, Connecticut	09013	0	8	-8
New Castle County, Delaware	10003	53	0	53
Sussex County, Delaware	10005	12	0	12
District of Columbia, District of Columbia	11001	0	1	-1
Alachua County, Florida	12001	17	0	17
Brevard County, Florida	12009	108	0	108
Hillsborough County, Florida	12057	29	0	29
Indian River County, Florida	12061	0	10	-10
Lake County, Florida	12069	21	0	21
Lee County, Florida	12071	11	0	11
Leon County, Florida	12073	84	127	-43
Manatee County, Florida	12081	9	5	4
Marion County, Florida	12083	0	28	-28
Miami-Dade County, Florida	12086	182	15	167
Orange County, Florida	12095	10	0	10
Palm Beach County, Florida	12099	32	25	7
Pasco County, Florida	12101	0	11	-11
Pinellas County, Florida	12103	0	16	-16
St. Johns County, Florida	12109	0	12	-12
St. Lucie County, Florida	12111	19	0	19
Seminole County, Florida	12117	0	19	-19
Bulloch County, Georgia	13031	0	10	-10
Chatham County, Georgia	13051	36	37	-1
Cherokee County, Georgia	13057	2	0	2
Clarke County, Georgia	13059	14	0	14
Cobb County, Georgia	13067	38	0	38
Coweta County, Georgia	13077	12	0	12
DeKalb County, Georgia	13089	49	31	18
Fayette County, Georgia	13113	12	0	12
Forsyth County, Georgia	13117	0	17	-17
Fulton County, Georgia	13121	165	99	66
Gilmer County, Georgia	13123	19	0	19
Gwinnett County, Georgia	13135	44	22	22
Hall County, Georgia	13139	19	105	-86
Hancock County, Georgia	13141	0	7	-7
Jackson County, Georgia	13157	16	0	16
Morgan County, Georgia	13211	46	0	46
Pike County, Georgia	13231	26	0	26
Richmond County, Georgia	13245	15	0	15
Stephens County, Georgia	13257	55	0	55
Tift County, Georgia	13277	0	5	-5
Walton County, Georgia	13297	5	0	5
Washington County, Georgia	13303	16	0	16
Whitfield County, Georgia	13313	0	9	-9
Ada County, Idaho	16001	31	0	31
Cook County, Illinois	17031	50	0	50
Kendall County, Illinois	17093	12	0	12
Lake County, Illinois	17097	15	0	15
McHenry County, Illinois	17111	16	0	16
Madison County, Illinois	17119	0	13	-13
Marshall County, Illinois	17123	0	5	-5
Sangamon County, Illinois	17167	25	0	25
Bartholomew County, Indiana	18005	0	33	-33
Elkhart County, Indiana	18039	0	10	-10
Starke County, Indiana	18149	63	0	63
Vanderburgh County, Indiana	18163	2	0	2
Johnson County, Kansas	20091	8	0	8
Boyd County, Kentucky	21019	22	0	22
Laurel County, Kentucky	21125	25	0	25
Oldham County, Kentucky	21185	0	7	-7
Pulaski County, Kentucky	21199	50	0	50
Calcasieu Parish, Louisiana	22019	20	0	20
East Baton Rouge Parish, Louisiana	22033	0	19	-19
Orleans Parish, Louisiana	22071	18	18	0
Cumberland County, Maine	23005	0	14	-14
Anne Arundel County, Maryland	24003	20	21	-1
Frederick County, Maryland	24021	36	15	21
Harford County, Maryland	24025	7	0	7
Howard County, Maryland	24027	27	1	26
Montgomery County, Maryland	24031	65	24	41
Prince George's County, Maryland	24033	3	0	3
Baltimore city, Maryland	24510	71	0	71
Berkshire County, Massachusetts	25003	0	3	-3
Bristol County, Massachusetts	25005	13	0	13
Essex County, Massachusetts	25009	16	0	16
Hampden County, Massachusetts	25013	41	0	41
Middlesex County, Massachusetts	25017	31	13	18
Norfolk County, Massachusetts	25021	3	23	-20
Plymouth County, Massachusetts	25023	17	0	17
Suffolk County, Massachusetts	25025	0	142	-142
Benzie County, Michigan	26019	21	0	21
Genesee County, Michigan	26049	13	0	13
Hillsdale County, Michigan	26059	0	15	-15
Midland County, Michigan	26111	17	0	17
Oakland County, Michigan	26125	0	53	-53
Washtenaw County, Michigan	26161	51	0	51
Wayne County, Michigan	26163	0	44	-44
Grant County, Minnesota	27051	0	3	-3
Harrison County, Mississippi	28047	0	32	-32
Madison County, Mississippi	28089	29	0	29
Oktibbeha County, Mississippi	28105	0	11	-11
Nye County, Nevada	32023	11	0	11
Rockingham County, New Hampshire	33015	14	0	14
Burlington County, New Jersey	34005	56	0	56
Cape May County, New Jersey	34009	15	0	15
Hunterdon County, New Jersey	34019	4	0	4
Mercer County, New Jersey	34021	9	12	-3
Monmouth County, New Jersey	34025	8	0	8
Morris County, New Jersey	34027	108	0	108
Passaic County, New Jersey	34031	0	63	-63
Somerset County, New Jersey	34035	61	0	61
Broome County, New York	36007	7	0	7
Chenango County, New York	36017	0	5	-5
Kings County, New York	36047	16	0	16
Nassau County, New York	36059	39	11	28
New York County, New York	36061	0	49	-49
Queens County, New York	36081	17	0	17
Rensselaer County, New York	36083	0	16	-16
Richmond County, New York	36085	0	74	-74
St. Lawrence County, New York	36089	0	8	-8
Suffolk County, New York	36103	46	0	46
Tompkins County, New York	36109	0	30	-30
Washington County, New York	36115	5	0	5
Wayne County, New York	36117	0	10	-10
Westchester County, New York	36119	23	0	23
Brunswick County, North Carolina	37019	29	0	29
Buncombe County, North Carolina	37021	21	0	21
Cabarrus County, North Carolina	37025	25	0	25
Catawba County, North Carolina	37035	6	0	6
Chatham County, North Carolina	37037	8	0	8
Cleveland County, North Carolina	37045	5	0	5
Dare County, North Carolina	37055	0	4	-4
Durham County, North Carolina	37063	0	13	-13
Forsyth County, North Carolina	37067	9	0	9
Gaston County, North Carolina	37071	0	5	-5
Guilford County, North Carolina	37081	4	50	-46
Haywood County, North Carolina	37087	8	0	8
Henderson County, North Carolina	37089	36	0	36
Iredell County, North Carolina	37097	132	0	132
Lincoln County, North Carolina	37109	50	0	50
McDowell County, North Carolina	37111	113	0	113
Macon County, North Carolina	37113	0	62	-62
Madison County, North Carolina	37115	7	0	7
Mecklenburg County, North Carolina	37119	228	45	183
Onslow County, North Carolina	37133	19	17	2
Pamlico County, North Carolina	37137	0	1	-1
Rockingham County, North Carolina	37157	10	0	10
Rowan County, North Carolina	37159	7	9	-2
Rutherford County, North Carolina	37161	0	23	-23
Swain County, North Carolina	37173	0	3	-3
Transylvania County, North Carolina	37175	13	0	13
Union County, North Carolina	37179	9	0	9
Vance County, North Carolina	37181	12	0	12
Wake County, North Carolina	37183	60	24	36
Richland County, North Dakota	38077	12	0	12
Ashtabula County, Ohio	39007	0	45	-45
Athens County, Ohio	39009	0	4	-4
Butler County, Ohio	39017	12	0	12
Carroll County, Ohio	39019	21	0	21
Cuyahoga County, Ohio	39035	34	0	34
Franklin County, Ohio	39049	80	27	53
Hamilton County, Ohio	39061	10	0	10
Lucas County, Ohio	39095	7	0	7
Montgomery County, Ohio	39113	16	0	16
Portage County, Ohio	39133	13	0	13
Summit County, Ohio	39153	19	0	19
Tuscarawas County, Ohio	39157	25	0	25
Comanche County, Oklahoma	40031	0	28	-28
Berks County, Pennsylvania	42011	4	0	4
Bradford County, Pennsylvania	42015	23	0	23
Bucks County, Pennsylvania	42017	10	0	10
Chester County, Pennsylvania	42029	18	0	18
Cumberland County, Pennsylvania	42041	0	24	-24
Delaware County, Pennsylvania	42045	0	18	-18
Erie County, Pennsylvania	42049	48	0	48
Fayette County, Pennsylvania	42051	21	0	21
Westmoreland County, Pennsylvania	42129	8	0	8
York County, Pennsylvania	42133	0	21	-21
Newport County, Rhode Island	44005	13	0	13
Washington County, Rhode Island	44009	39	0	39
Abbeville County, South Carolina	45001	0	8	-8
Aiken County, South Carolina	45003	206	18	188
Allendale County, South Carolina	45005	0	6	-6
Anderson County, South Carolina	45007	1615	1747	-132
Bamberg County, South Carolina	45009	19	8	11
Barnwell County, South Carolina	45011	65	0	65
Beaufort County, South Carolina	45013	83	0	83
Berkeley County, South Carolina	45015	217	227	-10
Calhoun County, South Carolina	45017	11	0	11
Charleston County, South Carolina	45019	533	170	363
Cherokee County, South Carolina	45021	8	36	-28
Chester County, South Carolina	45023	15	7	8
Clarendon County, South Carolina	45027	56	0	56
Colleton County, South Carolina	45029	8	0	8
Darlington County, South Carolina	45031	46	9	37
Dillon County, South Carolina	45033	14	1	13
Dorchester County, South Carolina	45035	266	30	236
Florence County, South Carolina	45041	117	57	60
Georgetown County, South Carolina	45043	140	10	130
Greenville County, South Carolina	45045	2056	1867	189
Greenwood County, South Carolina	45047	9	29	-20
Hampton County, South Carolina	45049	61	5	56
Horry County, South Carolina	45051	354	259	95
Jasper County, South Carolina	45053	40	0	40
Kershaw County, South Carolina	45055	19	0	19
Lancaster County, South Carolina	45057	50	0	50
Laurens County, South Carolina	45059	118	7	111
Lee County, South Carolina	45061	9	0	9
Lexington County, South Carolina	45063	417	84	333
Marlboro County, South Carolina	45069	0	9	-9
Newberry County, South Carolina	45071	96	2	94
Oconee County, South Carolina	45073	545	727	-182
Orangeburg County, South Carolina	45075	24	11	13
Richland County, South Carolina	45079	453	448	5
Saluda County, South Carolina	45081	3	10	-7
Spartanburg County, South Carolina	45083	416	174	242
Sumter County, South Carolina	45085	50	29	21
Union County, South Carolina	45087	76	6	70
Williamsburg County, South Carolina	45089	56	0	56
York County, South Carolina	45091	241	242	-1
Anderson County, Tennessee	47001	0	56	-56
Bradley County, Tennessee	47011	0	55	-55
Carter County, Tennessee	47019	0	11	-11
Claiborne County, Tennessee	47025	0	26	-26
Davidson County, Tennessee	47037	0	12	-12
Hamblen County, Tennessee	47063	12	0	12
Hamilton County, Tennessee	47065	27	0	27
Knox County, Tennessee	47093	0	17	-17
Rutherford County, Tennessee	47149	18	0	18
Shelby County, Tennessee	47157	58	0	58
Williamson County, Tennessee	47187	29	32	-3
Bee County, Texas	48025	0	7	-7
Bell County, Texas	48027	4	121	-117
Brazoria County, Texas	48039	0	22	-22
Collin County, Texas	48085	0	9	-9
Dallas County, Texas	48113	0	26	-26
Deaf Smith County, Texas	48117	0	21	-21
Fort Bend County, Texas	48157	0	13	-13
Harrison County, Texas	48203	318	0	318
Jefferson County, Texas	48245	0	4	-4
Lubbock County, Texas	48303	0	29	-29
Presidio County, Texas	48377	30	0	30
Williamson County, Texas	48491	10	68	-58
Salt Lake County, Utah	49035	30	0	30
Utah County, Utah	49049	0	146	-146
Arlington County, Virginia	51013	0	7	-7
Fairfax County, Virginia	51059	17	17	0
Henrico County, Virginia	51087	52	9	43
Loudoun County, Virginia	51107	41	0	41
Rockingham County, Virginia	51165	12	0	12
Stafford County, Virginia	51179	23	0	23
Alexandria city, Virginia	51510	21	8	13
Williamsburg city, Virginia	51830	0	19	-19
Winchester city, Virginia	51840	0	1	-1
Kitsap County, Washington	53035	12	0	12
Snohomish County, Washington	53061	4	0	4
Cabell County, West Virginia	54011	5	0	5
Fayette County, West Virginia	54019	147	0	147
Marion County, West Virginia	54049	0	115	-115
Monongalia County, West Virginia	54061	50	0	50
Wetzel County, West Virginia	54103	2	0	2
Wood County, West Virginia	54107	1	0	1
Kenosha County, Wisconsin	55059	9	0	9
Walworth County, Wisconsin	55127	0	24	-24
Carbon County, Wyoming	56007	0	35	-35
Fairfield town, Fairfield County, Connecticut	0900126620	61	0	61
Granby town, Hartford County, Connecticut	0900332640	2	0	2
Southington town, Hartford County, Connecticut	0900370550	82	0	82
West Hartford town, Hartford County, Connecticut	0900382590	0	10	-10
Clinton town, Middlesex County, Connecticut	0900715350	9	0	9
West Haven town, New Haven County, Connecticut	0900982870	10	0	10
Stafford town, Tolland County, Connecticut	0901372090	0	8	-8
Portland city, Cumberland County, Maine	2300560545	0	14	-14
Great Barrington town, Berkshire County, Massachusetts	2500326815	0	3	-3
Dartmouth town, Bristol County, Massachusetts	2500516425	13	0	13
Swampscott town, Essex County, Massachusetts	2500968645	16	0	16
Monson town, Hampden County, Massachusetts	2501342145	38	0	38
Wilbraham town, Hampden County, Massachusetts	2501379740	3	0	3
Bedford town, Middlesex County, Massachusetts	2501704615	13	0	13
Medford city, Middlesex County, Massachusetts	2501739835	0	13	-13
North Reading town, Middlesex County, Massachusetts	2501748955	7	0	7
Stow town, Middlesex County, Massachusetts	2501768050	11	0	11
Bellingham town, Norfolk County, Massachusetts	2502104930	0	16	-16
Medfield town, Norfolk County, Massachusetts	2502139765	3	0	3
Wrentham town, Norfolk County, Massachusetts	2502182315	0	7	-7
Duxbury town, Plymouth County, Massachusetts	2502317895	11	0	11
Hingham town, Plymouth County, Massachusetts	2502330210	6	0	6
Boston city, Suffolk County, Massachusetts	2502507000	0	142	-142
Almira township, Benzie County, Michigan	2601901640	21	0	21
Grand Blanc charter township, Genesee County, Michigan	2604933300	13	0	13
Hillsdale city, Hillsdale County, Michigan	2605938460	0	15	-15
Midland city, Midland County, Michigan	2611153780	17	0	17
Farmington Hills city, Oakland County, Michigan	2612527440	0	53	-53
Ann Arbor city, Washtenaw County, Michigan	2616103000	51	0	51
Dearborn city, Wayne County, Michigan	2616321000	0	8	-8
Livonia city, Wayne County, Michigan	2616349000	0	36	-36
Ashby city, Grant County, Minnesota	2705102422	0	3	-3
Chester town, Rockingham County, New Hampshire	3301512100	14	0	14
Southampton township, Burlington County, New Jersey	3400568610	56	0	56
Ocean City city, Cape May County, New Jersey	3400954360	15	0	15
Readington township, Hunterdon County, New Jersey	3401962250	4	0	4
Hamilton township, Mercer County, New Jersey	3402129310	0	12	-12
West Windsor township, Mercer County, New Jersey	3402180240	9	0	9
Millstone township, Monmouth County, New Jersey	3402546560	8	0	8
Mount Olive township, Morris County, New Jersey	3402749080	38	0	38
Randolph township, Morris County, New Jersey	3402761890	62	0	62
Washington township, Morris County, New Jersey	3402777240	8	0	8
Paterson city, Passaic County, New Jersey	3403157000	0	63	-63
Bernards township, Somerset County, New Jersey	3403505560	10	0	10
Hillsborough township, Somerset County, New Jersey	3403531890	51	0	51
Vestal town, Broome County, New York	3600777255	7	0	7
Norwich city, Chenango County, New York	3601753979	0	5	-5
Brooklyn borough, Kings County, New York	3604710022	16	0	16
Hempstead town, Nassau County, New York	3605934000	6	11	-5
Oyster Bay town, Nassau County, New York	3605956000	33	0	33
Manhattan borough, New York County, New York	3606144919	0	49	-49
Queens borough, Queens County, New York	3608160323	17	0	17
Troy city, Rensselaer County, New York	3608375484	0	16	-16
Staten Island borough, Richmond County, New York	3608570915	0	74	-74
Ogdensburg city, St. Lawrence County, New York	3608954485	0	8	-8
Babylon town, Suffolk County, New York	3610304000	35	0	35
East Hampton town, Suffolk County, New York	3610322194	11	0	11
Ithaca city, Tompkins County, New York	3610938077	0	15	-15
Ithaca town, Tompkins County, New York	3610938088	0	15	-15
Jackson town, Washington County, New York	3611538143	5	0	5
Sodus town, Wayne County, New York	3611768220	0	10	-10
Pelham town, Westchester County, New York	3611957012	23	0	23
Alsace township, Berks County, Pennsylvania	4201102120	4	0	4
Sayre borough, Bradford County, Pennsylvania	4201568096	23	0	23
Buckingham township, Bucks County, Pennsylvania	4201709816	10	0	10
Easttown township, Chester County, Pennsylvania	4202921928	10	0	10
Franklin township, Chester County, Pennsylvania	4202927376	8	0	8
Middlesex township, Cumberland County, Pennsylvania	4204149072	0	24	-24
Haverford township, Delaware County, Pennsylvania	4204533144	0	18	-18
Millcreek township, Erie County, Pennsylvania	4204949548	48	0	48
Everson borough, Fayette County, Pennsylvania	4205124336	21	0	21
Unity township, Westmoreland County, Pennsylvania	4212978656	8	0	8
North Codorus township, York County, Pennsylvania	4213354904	0	8	-8
York township, York County, Pennsylvania	4213387056	0	13	-13
Middletown town, Newport County, Rhode Island	4400545460	13	0	13
Narragansett town, Washington County, Rhode Island	4400948340	14	0	14
Westerly town, Washington County, Rhode Island	4400977000	25	0	25
Kenosha city, Kenosha County, Wisconsin	5505939225	9	0	9
Linn town, Walworth County, Wisconsin	5512744750	0	24	-24

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	125,381	100.0	326,569,308	100.0
..Male	D002	62,613	49.9	160,818,530	49.2
..Female	D003	62,768	50.1	165,750,778	50.8
..Sex ratio (males per 100 females)	D004	99.8		97.0
..Under 5 years	D005	6,261	5.0	19,650,192	6.0
..5 to 9 years	D006	6,225	5.0	19,979,039	6.1
..10 to 14 years	D007	6,943	5.5	21,107,910	6.5
..15 to 19 years	D008	11,494	9.2	21,174,955	6.5
..20 to 24 years	D009	14,948	11.9	21,820,378	6.7
..25 to 34 years	D010	15,117	12.1	45,485,165	13.9
..35 to 44 years	D011	13,491	10.8	41,346,677	12.7
..45 to 54 years	D012	14,608	11.7	41,540,736	12.7
..55 to 59 years	D013	8,315	6.6	21,785,721	6.7
..60 to 64 years	D014	7,418	5.9	20,315,718	6.2
..65 to 74 years	D015	11,913	9.5	30,547,950	9.4
..75 to 84 years	D016	6,771	5.4	15,193,051	4.7
..85 years and over	D017	1,877	1.5	6,621,816	2.0
..Median age (years)	D018	36.4		38.2
..Under 18 years	D019	23,665	18.9	73,296,738	22.4
..16 years and over	D020	104,697	83.5	261,649,873	80.1
..18 years and over	D021	101,716	81.1	253,272,570	77.6
..21 years and over	D022	90,428	72.1	240,169,127	73.5
..62 years and over	D023	24,977	19.9	64,136,076	19.6
..65 years and over	D024	20,561	16.4	52,362,817	16.0
..18 years and over	D025	101,716	100.0	253,272,570	100.0
...Male	D026	50,307	49.5	123,361,776	48.7
...Female	D027	51,409	50.5	129,910,794	51.3
...Sex ratio (males per 100 females)	D028	97.9		95.0
..65 years and over	D029	20,561	100.0	52,362,817	100.0
...Male	D030	9,196	44.7	23,264,263	44.4
...Female	D031	11,365	55.3	29,098,554	55.6
...Sex ratio (males per 100 females)	D032	80.9		79.9
RACE
.Total population	D033	125,381	100.0	326,569,308	100.0
..One race	D034	122,363	97.6	309,693,766	94.8
..Two or more races	D035	3,018	2.4	16,875,542	5.2
..One race	D036	122,363	97.6	309,693,766	94.8
...White	D037	109,769	87.5	229,960,813	70.4
...Black or African American	D038	8,158	6.5	41,227,384	12.6
...American Indian and Alaska Native	D039	147	0.1	2,688,614	0.8
....Cherokee tribal grouping	D040	0	100.0	277,634	100.0
....Chippewa tribal grouping	D041	0	100.0	112,056	100.0
....Navajo tribal grouping	D042	0	100.0	324,638	100.0
....Sioux tribal grouping	D043	0	100.0	110,492	100.0
...Asian	D044	2,510	2.0	18,421,637	5.6
....Asian Indian	D045	767	0.6	4,143,134	1.3
....Chinese	D046	844	0.7	4,345,272	1.3
....Filipino	D047	362	0.3	2,884,210	0.9
....Japanese	D048	47	0.0	768,985	0.2
....Korean	D049	159	0.1	1,477,325	0.5
....Vietnamese	D050	55	0.0	1,852,906	0.6
....Other Asian	D051	276	0.2	2,949,805	0.9
...Native Hawaiian and Other Pacific Islander	D052	18	0.0	611,404	0.2
....Native Hawaiian	D053	0	100.0	185,474	100.0
....Guamanian or Chamorro	D054	0	100.0	81,898	100.0
....Samoan	D055	0	100.0	110,141	100.0
....Other Pacific Islander	D056	18	0.0	233,891	0.1
...Some other race	D057	1,761	1.4	16,783,914	5.1
..Two or more races	D058	3,018	2.4	16,875,542	5.2
...White and Black or African American	D059	1,399	1.1	3,295,021	1.0
...White and American Indian and Alaska Native	D060	563	0.4	1,994,147	0.6
...White and Asian	D061	361	0.3	2,466,289	0.8
...Black or African American and American Indian and Alaska Native	D062	44	0.0	297,898	0.1
Race alone or in combination with one or more other races
.Total population	D063	125,381	100.0	326,569,308	100.0
..White	D064	112,582	89.8	245,105,778	75.1
..Black or African American	D065	9,761	7.8	46,273,733	14.2
..American Indian and Alaska Native	D066	839	0.7	5,779,818	1.8
..Asian	D067	3,017	2.4	22,193,536	6.8
..Native Hawaiian and Other Pacific Islander	D068	25	0.0	1,441,525	0.4
..Some other race	D069	2,258	1.8	24,041,125	7.4
HISPANIC OR LATINO AND RACE
.Total population	D070	125,381	100.0	326,569,308	100.0
..Hispanic or Latino (of any race)	D071	4,812	3.8	59,361,020	18.2
...Mexican	D072	1,681	1.3	36,537,028	11.2
...Puerto Rican	D073	779	0.6	5,699,150	1.7
...Cuban	D074	635	0.5	2,332,584	0.7
...Other Hispanic or Latino	D075	1,717	1.4	14,792,258	4.5
..Not Hispanic or Latino	D076	120,569	96.2	267,208,288	81.8
...White alone	D077	107,120	85.4	196,251,375	60.1
...Black or African American alone	D078	8,117	6.5	39,994,653	12.2
...American Indian and Alaska Native alone	D079	147	0.1	2,075,852	0.6
...Asian alone	D080	2,433	1.9	18,184,182	5.6
...Native Hawaiian and Other Pacific Islander alone	D081	18	0.0	550,080	0.2
...Some other race alone	D082	160	0.1	1,017,604	0.3
...Two or more races	D083	2,574	2.1	9,134,542	2.8
....Two races including Some other race	D084	108	0.1	827,762	0.3
....Two races excluding Some other race, and Three or more races	D085	2,466	2.0	8,306,780	2.5
.Total housing units	D086	54,939	100.0	138,432,751	100.0
CITIZEN, VOTING AGE POPULATION
.Citizen, 18 and over population	D087	99,211	100.0	233,440,758	100.0
..Male	D088	48,843	49.2	113,241,206	48.5
..Female	D089	50,368	50.8	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	48,522	100.0	122,354,219	100.0
..Married-couple family	S002	24,010	49.5	58,807,003	48.1
...With own children of the householder under 18 years	S003	-1		-1
..Cohabiting couple household	S004	2,465	5.1	7,958,647	6.5
...With own children of the householder under 18 years	S005	-1		-1
..Male householder, no spouse/partner present	S006	9,024	18.6	21,780,170	17.8
...With own children of the householder under 18 years	S007	-1		-1
...Householder living alone	S008	5,343	11.0	15,296,800	12.5
....65 years and over	S009	1,574	3.2	4,441,899	3.6
..Female householder, no spouse/partner present	S010	13,023	26.8	33,808,399	27.6
...With own children of the householder under 18 years	S011	-1		-1
...Householder living alone	S012	7,430	15.3	18,957,732	15.5
....65 years and over	S013	3,746	7.7	9,335,513	7.6
..Households with one or more people under 18 years	S014	13,132	27.1	37,598,741	30.7
..Households with one or more people 65 years and over	S015	14,590	30.1	36,861,827	30.1
..Average household size	S016	2.45		2.60
..Average family size	S017	2.94		3.21
RELATIONSHIP
.Population in households	S018	118,913	100.0	318,495,974	100.0
..Householder	S019	48,522	40.8	122,354,219	38.4
..Spouse	S020	24,089	20.3	58,717,034	18.4
..Unmarried partner	S021	2,364	2.0	8,048,864	2.5
..Child	S022	28,946	24.3	94,445,052	29.7
..Other relatives	S023	6,574	5.5	23,202,220	7.3
..Other nonrelatives	S024	8,418	7.1	11,728,585	3.7
MARITAL STATUS
.Males 15 years and over	S025	52,601	100.0	129,777,799	100.0
..Never married	S026	20,161	38.3	47,510,293	36.6
..Now married, except separated	S027	25,591	48.7	64,543,861	49.7
..Separated	S028	1,155	2.2	2,052,984	1.6
..Widowed	S029	1,387	2.6	3,408,813	2.6
..Divorced	S030	4,307	8.2	12,261,848	9.4
.Females 15 years and over	S031	53,351	100.0	136,054,368	100.0
..Never married	S032	16,840	31.6	41,518,358	30.5
..Now married, except separated	S033	24,246	45.4	63,348,809	46.6
..Separated	S034	1,619	3.0	2,859,442	2.1
..Widowed	S035	5,343	10.0	11,821,660	8.7
..Divorced	S036	5,303	9.9	16,506,099	12.1
FERTILITY
.Number of women 15 to 50 years old who had a birth in the past 12 months	S037	1,524	100.0	3,982,654	100.0
..Unmarried women (widowed, divorced, and never married)	S038	387	25.4	1,308,199	32.8
...Per 1,000 unmarried women	S039	22	-1.0	30	-1.0
..Per 1,000 women 15 to 50 years old	S040	50	-1.0	52	-1.0
..Per 1,000 women 15 to 19 years old	S041	6	-1.0	11	-1.0
..Per 1,000 women 20 to 34 years old	S042	87	-1.0	87	-1.0
..Per 1,000 women 35 to 50 years old	S043	22	-1.0	30	-1.0
GRANDPARENTS
.Number of grandparents living with own grandchildren under 18 years	S044	2,715	100.0	7,187,524	100.0
..Grandparents responsible for grandchildren	S045	1,292	47.6	2,400,774	33.4
..Years responsible for grandchildren
...Less than 1 year	S046	134	4.9	427,836	6.0
...1 or 2 years	S047	178	6.6	495,453	6.9
...3 or 4 years	S048	137	5.0	391,577	5.4
...5 or more years	S049	843	31.0	1,085,908	15.1
.Number of grandparents responsible for own grandchildren under 18 years	S050	1,292	100.0	2,400,774	100.0
..Who are female	S051	820	63.5	1,518,284	63.2
..Who are married	S052	861	66.6	1,646,934	68.6
SCHOOL ENROLLMENT
.Population 3 years and over enrolled in school	S053	38,671	100.0	80,497,960	100.0
..Nursery school, preschool	S054	1,275	3.3	4,879,858	6.1
..Kindergarten	S055	1,626	4.2	4,003,118	5.0
..Elementary school (grades 1-8)	S056	10,602	27.4	32,506,623	40.4
..High school (grades 9-12)	S057	5,627	14.6	16,879,255	21.0
..College or graduate school	S058	19,541	50.5	22,229,106	27.6
EDUCATIONAL ATTAINMENT
.Population 25 years and over	S059	79,510	100.0	222,836,834	100.0
..Less than 9th grade	S060	3,115	3.9	10,923,030	4.9
..9th to 12th grade, no diploma	S061	7,856	9.9	14,639,650	6.6
..High school graduate (includes equivalency)	S062	22,737	28.6	59,421,419	26.7
..Some college, no degree	S063	15,517	19.5	45,242,162	20.3
..Associate's degree	S064	8,974	11.3	19,254,254	8.6
..Bachelor's degree	S065	12,098	15.2	45,034,610	20.2
..Graduate or professional degree	S066	9,213	11.6	28,321,709	12.7
..High school graduate or higher	S067	68,539	86.2	197,274,154	88.5
..Bachelor's degree or higher	S068	21,311	26.8	73,356,319	32.9
VETERAN STATUS
.Civilian population 18 years and over	S069	101,678	100.0	252,130,477	100.0
..Civilian veterans	S070	6,851	6.7	17,835,456	7.1
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION
.Total Civilian Noninstitutionalized Population	S071	124,681	100.0	321,525,041	100.0
..With a disability	S072	18,510	14.8	40,786,461	12.7
.Under 18 years	S073	23,614	100.0	73,163,121	100.0
..With a disability	S074	1,143	4.8	3,166,556	4.3
.18 to 64 years	S075	80,852	100.0	197,289,696	100.0
..With a disability	S076	9,357	11.6	20,231,217	10.3
.65 years and over	S077	20,215	100.0	51,072,224	100.0
..With a disability	S078	8,010	39.6	17,388,688	34.0
RESIDENCE 1 YEAR AGO
.Population 1 year and over	S079	124,006	100.0	322,943,283	100.0
..Same house	S080	101,533	81.9	278,285,887	86.2
..Different house in the U.S. or abroad	S081	22,473	18.1	44,657,396	13.8
..Different house in the U.S.	S082	21,802	17.6	42,714,733	13.2
...Same county	S083	8,544	6.9	24,840,584	7.7
...Different county	S084	13,258	10.7	17,874,149	5.5
....Same state	S085	8,624	7.0	10,445,339	3.2
....Different state	S086	4,634	3.7	7,428,810	2.3
..Abroad	S087	671	0.5	1,942,663	0.6
PLACE OF BIRTH
.Total population	S088	125,381	100.0	326,569,308	100.0
..Native	S089	121,087	96.6	282,443,680	86.5
...Born in United States	S090	120,293	95.9	277,155,748	84.9
....State of residence	S091	76,104	60.7	189,976,546	58.2
....Different state	S092	44,189	35.2	87,179,202	26.7
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s)	S093	794	0.6	5,287,932	1.6
..Foreign born	S094	4,294	3.4	44,125,628	13.5
U.S. CITIZENSHIP STATUS
.Foreign-born population	S095	4,294	100.0	44,125,628	100.0
..Naturalized U.S. citizen	S096	1,666	38.8	22,456,684	50.9
..Not a U.S. citizen	S097	2,628	61.2	21,668,944	49.1
YEAR OF ENTRY
.Population born outside the United States	S098	5,088	100.0	49,413,560	100.0
..Native	S099	794	100.0	5,287,932	100.0
...Entered 2010 or later	S100	137	17.3	1,258,153	23.8
...Entered before 2010	S101	657	82.7	4,029,779	76.2
..Foreign born	S102	4,294	100.0	44,125,628	100.0
...Entered 2010 or later	S103	1,513	35.2	10,044,458	22.8
...Entered before 2010	S104	2,781	64.8	34,081,170	77.2
WORLD REGION OF BIRTH OF FOREIGN BORN
.Foreign-born population, excluding population born at sea	S105	4,294	100.0	44,125,120	100.0
..Europe	S106	592	13.8	4,784,383	10.8
..Asia	S107	1,935	45.1	13,794,873	31.3
..Africa	S108	197	4.6	2,362,292	5.4
..Oceania	S109	20	0.5	283,505	0.6
..Latin America	S110	1,456	33.9	22,073,519	50.0
..Northern America	S111	94	2.2	826,548	1.9
LANGUAGE SPOKEN AT HOME
.Population 5 years and over	S112	119,120	100.0	306,919,116	100.0
..English only	S113	113,895	95.6	240,826,040	78.5
..Language other than English	S114	5,225	4.4	66,093,076	21.5
...Speak English less than very well	S115	1,620	1.4	25,312,024	8.2
..Spanish	S116	2,413	2.0	40,537,337	13.2
...Speak English less than very well	S117	720	0.6	15,949,582	5.2
..Other Indo-European languages	S118	1,585	1.3	11,270,634	3.7
...Speak English less than very well	S119	309	0.3	3,422,525	1.1
..Asian and Pacific Islander languages	S120	972	0.8	10,800,470	3.5
...Speak English less than very well	S121	536	0.4	4,886,876	1.6
..Other languages	S122	255	0.2	3,484,635	1.1
...Speak English less than very well	S123	55	0.0	1,053,041	0.3
ANCESTRY
.Total population	S124	125,381	100.0	326,569,308	100.0
..American	S125	13,246	10.6	19,364,103	5.9
..Arab	S126	400	0.3	2,056,594	0.6
..Czech	S127	202	0.2	1,329,130	0.4
..Danish	S128	160	0.1	1,244,498	0.4
..Dutch	S129	789	0.6	3,692,889	1.1
..English	S130	16,210	12.9	25,213,619	7.7
..French (except Basque)	S131	2,363	1.9	7,374,976	2.3
..French Canadian	S132	280	0.2	1,998,012	0.6
..German	S133	13,111	10.5	42,589,571	13.0
..Greek	S134	492	0.4	1,249,194	0.4
..Hungarian	S135	192	0.2	1,348,198	0.4
..Irish	S136	14,136	11.3	31,518,129	9.7
..Italian	S137	3,954	3.2	16,549,022	5.1
..Lithuanian	S138	121	0.1	626,937	0.2
..Norwegian	S139	627	0.5	4,289,825	1.3
..Polish	S140	2,471	2.0	8,936,002	2.7
..Portuguese	S141	280	0.2	1,363,964	0.4
..Russian	S142	460	0.4	2,538,436	0.8
..Scotch-Irish	S143	3,258	2.6	2,937,156	0.9
..Scottish	S144	3,078	2.5	5,298,861	1.6
..Slovak	S145	115	0.1	658,740	0.2
..Subsaharan African	S146	497	0.4	3,809,930	1.2
..Swedish	S147	730	0.6	3,627,796	1.1
..Swiss	S148	234	0.2	908,570	0.3
..Ukrainian	S149	5	0.0	1,015,209	0.3
..Welsh	S150	632	0.5	1,851,256	0.6
..West Indian (excluding Hispanic origin groups)	S151	200	0.2	3,008,035	0.9
COMPUTERS AND INTERNET USE
.Total households	S152	48,522	100.0	122,354,219	100.0
..With a computer	S153	42,998	88.6	112,398,526	91.9
..With a broadband Internet subscription	S154	39,051	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	104,697	100.0	261,649,873	100.0
..In labor force	E002	60,534	57.8	165,902,838	63.4
...Civilian labor force	E003	60,496	57.8	164,759,496	63.0
....Employed	E004	57,456	54.9	155,888,980	59.6
....Unemployed	E005	3,040	2.9	8,870,516	3.4
...Armed Forces	E006	38	0.0	1,143,342	0.4
..Not in labor force	E007	44,163	42.2	95,747,035	36.6
.Civilian labor force	E008	60,496	100.0	164,759,496	100.0
..Unemployment Rate	E009	5.00		5.40
.Females 16 years and over	E010	52,568	100.0	134,001,493	100.0
..In labor force	E011	28,134	53.5	78,484,558	58.6
...Civilian labor force	E012	28,134	53.5	78,314,931	58.4
....Employed	E013	26,782	50.9	74,173,483	55.4
.Own children of the householder under 6 years	E014	6,792	100.0	22,558,766	100.0
..All parents in family in labor force	E015	4,209	62.0	15,045,945	66.7
.Own children of the householder 6 to 17 years	E016	14,952	100.0	46,908,286	100.0
..All parents in family in labor force	E017	10,881	72.8	33,697,040	71.8
COMMUTING TO WORK
.Workers 16 years and over	E018	56,177	100.0	153,665,654	100.0
..Car, truck, or van -- drove alone	E019	44,978	80.1	115,127,720	74.9
..Car, truck, or van -- carpooled	E020	5,335	9.5	13,605,122	8.9
..Public transportation (excluding taxicab)	E021	459	0.8	7,044,886	4.6
..Walked	E022	1,096	2.0	3,954,692	2.6
..Other means	E023	517	0.9	2,780,139	1.8
..Worked from home	E024	3,792	6.8	11,153,095	7.3
..Mean travel time to work (minutes)	E025	26.70		26.90
OCCUPATION
.Civilian employed population 16 years and over	E026	57,456	100.0	155,888,980	100.0
..Management, business, science, and arts occupations	E027	21,761	37.9	61,526,906	39.5
..Service occupations	E028	10,388	18.1	27,095,654	17.4
..Sales and office occupations	E029	10,741	18.7	33,247,878	21.3
..Natural resources, construction, and maintenance occupations	E030	6,211	10.8	13,620,436	8.7
..Production, transportation, and material moving occupations	E031	8,355	14.5	20,398,106	13.1
INDUSTRY
.Civilian employed population 16 years and over	E032	57,456	100.0	155,888,980	100.0
..Agriculture, forestry, fishing and hunting, and mining	E033	260	0.5	2,658,413	1.7
..Construction	E034	4,538	7.9	10,416,196	6.7
..Manufacturing	E035	8,398	14.6	15,617,461	10.0
..Wholesale trade	E036	1,392	2.4	3,971,773	2.5
..Retail trade	E037	6,029	10.5	17,195,083	11.0
..Transportation and warehousing, and utilities	E038	2,867	5.0	8,576,862	5.5
..Information	E039	485	0.8	3,066,743	2.0
..Finance and insurance, and real estate and rental and leasing	E040	2,316	4.0	10,319,201	6.6
..Professional, scientific, and management, and administrative and waste management services	E041	4,917	8.6	18,312,454	11.7
..Educational services, and health care and social assistance	E042	15,601	27.2	36,315,080	23.3
..Arts, entertainment, and recreation, and accommodation and food services	E043	5,997	10.4	14,651,909	9.4
..Other services, except public administration	E044	3,018	5.3	7,516,616	4.8
..Public administration	E045	1,638	2.9	7,271,189	4.7
CLASS OF WORKER
.Civilian employed population 16 years and over	E046	57,456	100.0	155,888,980	100.0
..Private wage and salary workers	E047	44,952	78.2	124,611,544	79.9
..Government workers	E048	9,588	16.7	21,743,101	13.9
..Self-employed in own not incorporated business workers	E049	2,828	4.9	9,243,835	5.9
..Unpaid family workers	E050	88	0.2	290,500	0.2
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS)
.Total households	E051	48,522	100.0	122,354,219	100.0
..Less than $10,000	E052	3,899	8.0	7,145,751	5.8
..$10,000 to $14,999	E053	2,537	5.2	5,020,097	4.1
..$15,000 to $24,999	E054	5,292	10.9	10,359,700	8.5
..$25,000 to $34,999	E055	4,770	9.8	10,569,484	8.6
..$35,000 to $49,999	E056	7,187	14.8	14,690,382	12.0
..$50,000 to $74,999	E057	8,585	17.7	21,034,779	17.2
..$75,000 to $99,999	E058	5,812	12.0	15,613,243	12.8
..$100,000 to $149,999	E059	6,778	14.0	19,128,938	15.6
..$150,000 to $199,999	E060	1,880	3.9	8,688,154	7.1
..$200,000 or more	E061	1,782	3.7	10,103,691	8.3
..Median household income (dollars)	E062	51,032		64,994
..Mean household income (dollars)	E063	71,724		91,547
..With earnings	E064	36,581	75.4	95,088,085	77.7
...Mean earnings (dollars)	E065	72,777		93,265
..With Social Security	E066	16,057	33.1	38,442,718	31.4
...Mean Social Security income (dollars)	E067	20,755		20,126
..With retirement income	E068	10,921	22.5	25,872,444	21.1
...Mean retirement income (dollars)	E069	25,453		28,376
..With Supplemental Security Income	E070	2,070	4.3	6,403,843	5.2
...Mean Supplemental Security Income (dollars)	E071	10,662		10,115
..With cash public assistance income	E072	545	1.1	2,995,159	2.4
...Mean cash public assistance income (dollars)	E073	4,790		3,271
..With Food Stamp/SNAP benefits in the past 12 months	E074	3,988	8.2	13,892,407	11.4
.Families	E075	30,716	100.0	79,849,830	100.0
..Less than $10,000	E076	741	2.4	2,784,559	3.5
..$10,000 to $14,999	E077	591	1.9	1,737,891	2.2
..$15,000 to $24,999	E078	1,967	6.4	4,608,727	5.8
..$25,000 to $34,999	E079	2,705	8.8	5,671,464	7.1
..$35,000 to $49,999	E080	4,390	14.3	8,744,513	11.0
..$50,000 to $74,999	E081	6,554	21.3	13,857,979	17.4
..$75,000 to $99,999	E082	4,559	14.8	11,445,632	14.3
..$100,000 to $149,999	E083	5,977	19.5	15,185,857	19.0
..$150,000 to $199,999	E084	1,685	5.5	7,235,024	9.1
..$200,000 or more	E085	1,547	5.0	8,578,184	10.7
..Median family income (dollars)	E086	68,896		80,069
..Mean family income (dollars)	E087	90,419		107,335
.Per capita income (dollars)	E088	28,382		35,384
.Nonfamily households	E089	17,806	100.0	42,504,389	100.0
..Median nonfamily income (dollars)	E090	25,813		39,027
..Mean nonfamily income (dollars)	E091	37,703		57,648
.Median earnings for workers (dollars)	E092	26,719		36,280
.Median earnings for male full-time, year-round workers (dollars)	E093	50,082		54,323
.Median earnings for female full-time, year-round workers (dollars)	E094	37,593		44,220
HEALTH INSURANCE COVERAGE
.Civilian noninstitutionalized population	E095	124,681	100.0	321,525,041	100.0
..With health insurance coverage	E096	113,969	91.4	293,466,138	91.3
...With private health insurance	E097	87,909	70.5	218,830,578	68.1
...With public coverage	E098	40,953	32.8	113,410,193	35.3
..No health insurance coverage	E099	10,712	8.6	28,058,903	8.7
.Civilian noninstitutionalized population under 19 years	E100	26,660	100.0	77,582,280	100.0
..No health insurance coverage	E101	1,164	4.4	4,016,835	5.2
.Civilian noninstitutionalized population 19 to 64 years	E102	77,806	100.0	192,870,537	100.0
..In labor force:	E103	55,838	100.0	150,997,488	100.0
...Employed:	E104	53,260	100.0	143,214,283	100.0
....With health insurance coverage	E105	47,439	89.1	127,785,204	89.2
.....With private health insurance	E106	45,106	84.7	116,559,349	81.4
.....With public coverage	E107	3,675	6.9	15,001,155	10.5
....No health insurance coverage	E108	5,821	10.9	15,429,079	10.8
...Unemployed:	E109	2,578	100.0	7,783,205	100.0
....With health insurance coverage	E110	1,675	65.0	5,696,312	73.2
.....With private health insurance	E111	1,418	55.0	3,265,196	42.0
.....With public coverage	E112	295	11.4	2,677,987	34.4
....No health insurance coverage	E113	903	35.0	2,086,893	26.8
..Not in labor force:	E114	21,968	100.0	41,873,049	100.0
...With health insurance coverage	E115	19,144	87.1	35,748,538	85.4
....With private health insurance	E116	14,060	64.0	21,659,932	51.7
....With public coverage	E117	6,343	28.9	17,036,758	40.7
...No health insurance coverage	E118	2,824	12.9	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	7.6		9.1
..With related children of the householder under 18 years	E120	11.8		14.3
...With related children of the householder under 5 years only	E121	8.0		13.5
..Married couple families	E122	3.7		4.6
...With related children of the householder under 18 years	E123	5.2		6.2
....With related children of the householder under 5 years only	E124	2.3		4.8
..Families with female householder, no spouse present	E125	27.1		25.1
...With related children of the householder under 18 years	E126	37.9		34.4
....With related children of the householder under 5 years only	E127	52.7		38.8
.All people	E128	16.4		12.8
..Under 18 years	E129	13.1		17.5
...Related children of the householder under 18 years	E130	12.1		17.2
....Related children of the householder under 5 years	E131	8.0		19.1
....Related children of the householder 5 to 17 years	E132	13.6		16.4
..18 years and over	E133	17.2		11.5
...18 to 64 years	E134	19.8		12.1
...65 years and over	E135	7.3		9.3
..People in families	E136	7.4		10.1
..Unrelated individuals 15 years and over	E137	45.0		24.2

2.4. Housing Situation.. goto topics

2.4.1. New Authorized Residential Construction.. goto topics

.. updated monthly based on data reported by local governments. Compare monthly data for 2020 through August 2022; next update October 26, 2022 (September 2022 data). Table below saved as c:\dede\1\45077bp.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	66	47	69	31	52	68	72	63	75	80	37	177
Single Family, Units	66	47	69	31	52	68	72	63	75	80	37	177
Single Family, Value	14,907	13,115	14,266	10,170	22,652	18,589	20,062	14,630	25,761	30,845	10,939	24,898
2 Unit, Buildings	0	0	1	0	0	1	0	0	0	0	0	0
2 Unit, Units	0	0	2	0	0	2	0	0	0	0	0	0
2 Unit, Value	0	0	253	0	0	164	0	0	0	0	0	0
3-4 Unit, Buildings	0	0	0	0	0	0	0	0	0	0	0	0
3-4 Unit, Units	0	0	0	0	0	0	0	0	0	0	0	0
3-4 Unit, Value	0	0	0	0	0	0	0	0	0	0	0	0
5+ Unit, Buildings	0	0	0	1	1	1	0	0	1	0	5	0
5+ Unit, Units	0	0	0	8	9	9	0	0	9	0	69	0
5+ Unit, Value	0	0	0	899	1,011	1,011	0	0	1,011	0	5,618	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	48	56	58	123	87	70	68	62	74	70	47	112
Single Family, Units	48	56	58	123	87	70	68	62	74	70	47	112
Single Family, Value	14,920	20,457	27,671	44,759	19,548	21,366	22,923	41,441	16,876	19,711	17,050	30,373
2 Unit, Buildings	0	0	2	0	0	0	0	0	0	0	1	0
2 Unit, Units	0	0	4	0	0	0	0	0	0	0	2	0
2 Unit, Value	0	0	341	0	0	0	0	0	0	0	437	0
3-4 Unit, Buildings	0	0	0	0	0	0	0	0	0	0	0	0
3-4 Unit, Units	0	0	0	0	0	0	0	0	0	0	0	0
3-4 Unit, Value	0	0	0	0	0	0	0	0	0	0	0	0
5+ Unit, Buildings	1	0	1	0	0	9	0	0	0	1	0	0
5+ Unit, Units	10	0	11	0	0	216	0	0	0	6	0	0
5+ Unit, Value	1,124	0	1,236	0	0	21,635	0	0	0	461	0	0

Units in Structure	Jan-22	Feb-22	Mar-22	Apr-22	May-22	Jun-22	Jul-22	Aug-22	Sep-22	Oct-22	Nov-22	Dec-22
Single Family, Buildings	82	67	74	62	72	84	75	58	0	0	0	0
Single Family, Units	82	67	74	62	72	84	75	58	0	0	0	0
Single Family, Value	26,780	26,938	39,039	24,314	34,629	31,370	37,134	33,150	0	0	0	0
2 Unit, Buildings	0	0	0	5	0	0	1	0	0	0	0	0
2 Unit, Units	0	0	0	10	0	0	2	0	0	0	0	0
2 Unit, Value	0	0	0	1,719	0	0	171	0	0	0	0	0
3-4 Unit, Buildings	0	4	6	0	0	8	0	5	0	0	0	0
3-4 Unit, Units	0	12	24	0	0	25	0	19	0	0	0	0
3-4 Unit, Value	0	621	1,064	0	0	4,723	0	756	0	0	0	0
5+ Unit, Buildings	0	10	15	1	1	0	1	0	0	0	0	0
5+ Unit, Units	0	240	90	23	23	0	26	0	0	0	0	0
5+ Unit, Value	0	21,272	2,664	2,289	2,289	0	2,588	0	0	0	0	0

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	358	359	491	596	512	790	800
Single Family, Units	358	359	491	596	512	790	800
Single Family, Value	102,539	110,450	145,560	140,440	154,812	222,512	298,134
2 Unit, Buildings	2	0	1	2	0	2	4
2 Unit, Units	4	0	2	4	0	4	8
2 Unit, Value	269	0	260	507	0	474	1,180
3-4 Unit, Buildings	0	0	3	0	0	1	0
3-4 Unit, Units	0	0	11	0	0	3	0
3-4 Unit, Value	0	0	1,354	0	0	904	0
5+ Unit, Buildings	13	15	18	0	6	4	10
5+ Unit, Units	218	667	182	0	142	60	222
5+ Unit, Value	21,907	57,448	22,216	0	15,755	4,607	22,095

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	54,939	100.0	138,432,751	100.0
..Occupied housing units	H002	48,522	88.3	122,354,219	88.4
..Vacant housing units	H003	6,417	11.7	16,078,532	11.6
..Homeowner vacancy rate	H004	1.00		1.40
..Rental vacancy rate	H005	5.80		5.80
UNITS IN STRUCTURE
.Total housing units	H006	54,939	100.0	138,432,751	100.0
..1-unit, detached	H007	34,517	62.8	85,438,643	61.7
..1-unit, attached	H008	710	1.3	8,222,495	5.9
..2 units	H009	1,429	2.6	4,868,926	3.5
..3 or 4 units	H010	1,201	2.2	5,989,331	4.3
..5 to 9 units	H011	2,154	3.9	6,398,241	4.6
..10 to 19 units	H012	3,314	6.0	5,988,959	4.3
..20 or more units	H013	1,613	2.9	13,018,590	9.4
..Mobile home	H014	9,911	18.0	8,374,539	6.0
..Boat, RV, van, etc.	H015	90	0.2	133,027	0.1
YEAR STRUCTURE BUILT
.Total housing units	H016	54,939	100.0	138,432,751	100.0
..Built 2014 or later	H017	2,759	5.0	4,826,244	3.5
..Built 2010 to 2013	H018	2,350	4.3	3,772,330	2.7
..Built 2000 to 2009	H019	8,773	16.0	18,872,283	13.6
..Built 1990 to 1999	H020	12,056	21.9	19,229,676	13.9
..Built 1980 to 1989	H021	8,678	15.8	18,484,475	13.4
..Built 1970 to 1979	H022	7,962	14.5	20,811,073	15.0
..Built 1960 to 1969	H023	4,242	7.7	14,506,264	10.5
..Built 1950 to 1959	H024	4,002	7.3	14,087,506	10.2
..Built 1940 to 1949	H025	1,449	2.6	6,658,408	4.8
..Built 1939 or earlier	H026	2,668	4.9	17,184,492	12.4
ROOMS
.Total housing units	H027	54,939	100.0	138,432,751	100.0
..1 room	H028	1,040	1.9	3,250,217	2.3
..2 rooms	H029	875	1.6	3,910,325	2.8
..3 rooms	H030	3,684	6.7	12,459,781	9.0
..4 rooms	H031	9,130	16.6	22,231,547	16.1
..5 rooms	H032	11,010	20.0	26,672,922	19.3
..6 rooms	H033	10,376	18.9	24,582,222	17.8
..7 rooms	H034	6,547	11.9	16,793,623	12.1
..8 rooms	H035	5,120	9.3	12,195,373	8.8
..9 rooms or more	H036	7,157	13.0	16,336,741	11.8
..Median rooms	H037	5.7		5.5
BEDROOMS
.Total housing units	H038	54,939	100.0	138,432,751	100.0
..No bedroom	H039	1,171	2.1	3,588,040	2.6
..1 bedroom	H040	2,783	5.1	14,957,832	10.8
..2 bedrooms	H041	13,906	25.3	35,542,796	25.7
..3 bedrooms	H042	25,726	46.8	54,448,649	39.3
..4 bedrooms	H043	8,943	16.3	23,528,958	17.0
..5 or more bedrooms	H044	2,410	4.4	6,366,476	4.6
HOUSING TENURE
.Occupied housing units	H045	48,522	100.0	122,354,219	100.0
..Owner-occupied	H046	33,227	68.5	78,801,376	64.4
..Renter-occupied	H047	15,295	31.5	43,552,843	35.6
..Average household size of owner-occupied unit	H048	2.52		2.69
..Average household size of renter-occupied unit	H049	2.30		2.45
YEAR HOUSEHOLDER MOVED INTO UNIT
.Occupied housing units	H050	48,522	100.0	122,354,219	100.0
..Moved in 2017 or later	H051	2,515	5.2	5,926,790	4.8
..Moved in 2015 to 2016	H052	15,968	32.9	34,811,034	28.5
..Moved in 2010 to 2014	H053	8,147	16.8	24,361,511	19.9
..Moved in 2000 to 2009	H054	9,946	20.5	27,220,198	22.2
..Moved in 1990 to 1999	H055	5,530	11.4	14,760,836	12.1
..Moved in 1989 and earlier	H056	6,416	13.2	15,273,850	12.5
VEHICLES AVAILABLE
.Occupied housing units	H057	48,522	100.0	122,354,219	100.0
..No vehicles available	H058	3,198	6.6	10,344,521	8.5
..1 vehicle available	H059	13,069	26.9	39,756,914	32.5
..2 vehicles available	H060	18,000	37.1	45,389,464	37.1
..3 or more vehicles available	H061	14,255	29.4	26,863,320	22.0
HOUSE HEATING FUEL
.Occupied housing units	H062	48,522	100.0	122,354,219	100.0
..Utility gas	H063	14,920	30.7	58,269,718	47.6
..Bottled, tank, or LP gas	H064	2,082	4.3	5,925,357	4.8
..Electricity	H065	29,563	60.9	48,141,177	39.3
..Fuel oil, kerosene, etc.	H066	818	1.7	5,599,403	4.6
..Coal or coke	H067	0	100.0	114,177	100.0
..Wood	H068	732	1.5	2,075,845	1.7
..Solar energy	H069	68	0.1	222,369	0.2
..Other fuel	H070	34	0.1	600,652	0.5
..No fuel used	H071	305	0.6	1,405,521	1.1
SELECTED CHARACTERISTICS
.Occupied housing units	H072	48,522	100.0	122,354,219	100.0
..Lacking complete plumbing facilities	H073	221	0.5	460,275	0.4
..Lacking complete kitchen facilities	H074	560	1.2	1,016,528	0.8
..No telephone service available	H075	840	1.7	1,976,696	1.6
OCCUPANTS PER ROOM
.Occupied housing units	H076	48,522	100.0	122,354,219	100.0
..1.00 or less	H077	47,821	98.6	118,293,570	96.7
..1.01 to 1.50	H078	397	0.8	2,722,626	2.2
..1.51 or more	H079	304	0.6	1,338,023	1.1
VALUE
.Owner-occupied units	H080	33,227	100.0	78,801,376	100.0
..Less than $50,000	H081	3,466	10.4	5,172,474	6.6
..$50,000 to $99,999	H082	4,689	14.1	8,698,428	11.0
..$100,000 to $149,999	H083	6,949	20.9	9,730,077	12.3
..$150,000 to $199,999	H084	6,574	19.8	10,727,302	13.6
..$200,000 to $299,999	H085	5,946	17.9	15,730,458	20.0
..$300,000 to $499,999	H086	4,042	12.2	16,173,336	20.5
..$500,000 to $999,999	H087	1,010	3.0	9,682,662	12.3
..$1,000,000 or more	H088	551	1.7	2,886,639	3.7
..Median (dollars)	H089	159,200		229,800
MORTGAGE STATUS
.Owner-occupied units	H090	33,227	100.0	78,801,376	100.0
..Housing units with a mortgage	H091	18,614	56.0	48,974,364	62.1
..Housing units without a mortgage	H092	14,613	44.0	29,827,012	37.9
SELECTED MONTHLY OWNER COSTS (SMOC)
.Housing units with a mortgage	H093	18,614	100.0	48,974,364	100.0
..Less than $500	H094	550	3.0	568,141	1.2
..$500 to $999	H095	6,187	33.2	8,020,937	16.4
..$1,000 to $1,499	H096	6,387	34.3	13,146,307	26.8
..$1,500 to $1,999	H097	2,799	15.0	10,324,027	21.1
..$2,000 to $2,499	H098	1,390	7.5	6,485,860	13.2
..$2,500 to $2,999	H099	422	2.3	3,999,769	8.2
..$3,000 or more	H100	879	4.7	6,429,323	13.1
..Median (dollars)	H101	1,153		1,621
.Housing units without a mortgage	H102	14,613	100.0	29,827,012	100.0
..Less than $250	H103	3,188	21.8	3,317,647	11.1
..$250 to $399	H104	5,945	40.7	6,680,713	22.4
..$400 to $599	H105	4,023	27.5	8,428,059	28.3
..$600 to $799	H106	807	5.5	5,014,006	16.8
..$800 to $999	H107	392	2.7	2,660,659	8.9
..$1,000 or more	H108	258	1.8	3,725,928	12.5
..Median (dollars)	H109	347		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	18,508	100.0	48,744,731	100.0
..Less than 20.0 percent	H111	10,613	57.3	22,762,635	46.7
..20.0 to 24.9 percent	H112	2,485	13.4	7,593,802	15.6
..25.0 to 29.9 percent	H113	1,793	9.7	5,044,205	10.3
..30.0 to 34.9 percent	H114	735	4.0	3,314,853	6.8
..35.0 percent or more	H115	2,882	15.6	10,029,236	20.6
..Not computed	H116	106	-1.0	229,633	-1.0
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed)	H117	14,450	100.0	29,428,138	100.0
..Less than 10.0 percent	H118	7,844	54.3	13,449,955	45.7
..10.0 to 14.9 percent	H119	2,866	19.8	5,686,876	19.3
..15.0 to 19.9 percent	H120	1,034	7.2	3,208,798	10.9
..20.0 to 24.9 percent	H121	757	5.2	1,935,622	6.6
..25.0 to 29.9 percent	H122	734	5.1	1,248,280	4.2
..30.0 to 34.9 percent	H123	224	1.6	834,409	2.8
..35.0 percent or more	H124	991	6.9	3,064,198	10.4
..Not computed	H125	163	-1.0	398,874	-1.0
GROSS RENT
.Occupied units paying rent	H126	14,289	100.0	41,390,514	100.0
..Less than $500	H127	1,787	12.5	3,679,331	8.9
..$500 to $999	H128	8,138	57.0	14,206,622	34.3
..$1,000 to $1,499	H129	2,907	20.3	12,515,982	30.2
..$1,500 to $1,999	H130	941	6.6	6,187,736	14.9
..$2,000 to $2,499	H131	379	2.7	2,558,549	6.2
..$2,500 to $2,999	H132	89	0.6	1,088,264	2.6
..$3,000 or more	H133	48	0.3	1,154,030	2.8
..Median (dollars)	H134	786		1,096
..No rent paid	H135	1,006	-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	13,995	100.0	40,484,226	100.0
..Less than 15.0 percent	H137	2,012	14.4	5,405,002	13.4
..15.0 to 19.9 percent	H138	1,806	12.9	5,254,304	13.0
..20.0 to 24.9 percent	H139	1,550	11.1	5,227,400	12.9
..25.0 to 29.9 percent	H140	1,404	10.0	4,711,468	11.6
..30.0 to 34.9 percent	H141	897	6.4	3,679,430	9.1
..35.0 percent or more	H142	6,326	45.2	16,206,622	40.0
..Not computed	H143	1,300	-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	2,683	100.0	36,518	100.0	428,734,779	100.0	903
Total, Federal	10	1	13	0.5	176	0.5	2,752,898	0.6	1,201
Total, State	10	2	22	0.8	0	0.0	0	0.0	0
Total, Local	10	3	49	1.8	0	0.0	0	0.0	0
Total, Private	10	5	2,599	96.9	26,389	72.3	263,829,525	61.5	769
Agriculture, forestry, fishing and hunting	11	5	18	0.7	63	0.2	484,649	0.1	595
Crop production	111	5	6	0.2	26	0.1	226,058	0.1	677
Animal production	112	5	3	0.1	0	0.0	0	0.0	0
Forestry and logging	113	5	4	0.1	0	0.0	0	0.0	0
Fishing, hunting and trapping	114	5	1	0.0	0	0.0	0	0.0	0
Agriculture and forestry support activities	115	5	4	0.1	14	0.0	75,610	0.0	415
Mining	21	5	4	0.1	33	0.1	645,309	0.2	1,520
Mining, except oil and gas	212	5	2	0.1	0	0.0	0	0.0	0
Support activities for mining	213	5	2	0.1	0	0.0	0	0.0	0
Utilities	22	3	3	0.1	163	0.4	2,761,058	0.6	1,306
Utilities	22	5	10	0.4	210	0.6	4,958,854	1.2	1,819
Utilities	221	3	3	0.1	163	0.4	2,761,058	0.6	1,306
Utilities	221	5	10	0.4	210	0.6	4,958,854	1.2	1,819
Construction	23	5	310	11.6	1,332	3.6	15,353,133	3.6	887
Construction of buildings	236	5	93	3.5	318	0.9	3,797,720	0.9	918
Heavy and civil engineering construction	237	5	20	0.7	102	0.3	1,048,236	0.2	793
Specialty trade contractors	238	5	197	7.3	912	2.5	10,507,177	2.5	886
Manufacturing	31-33	5	136	5.1	4,873	13.3	68,434,889	16.0	1,080
Food manufacturing	311	5	3	0.1	0	0.0	0	0.0	0
Beverage and tobacco product manufacturing	312	5	3	0.1	0	0.0	0	0.0	0
Textile mills	313	5	5	0.2	395	1.1	4,513,634	1.1	879
Textile product mills	314	5	1	0.0	0	0.0	0	0.0	0
Wood product manufacturing	321	5	12	0.4	133	0.4	885,993	0.2	512
Printing and related support activities	323	5	7	0.3	107	0.3	1,012,836	0.2	728
Petroleum and coal products manufacturing	324	5	1	0.0	0	0.0	0	0.0	0
Chemical manufacturing	325	5	7	0.3	429	1.2	7,002,375	1.6	1,256
Plastics and rubber products manufacturing	326	5	6	0.2	288	0.8	2,940,763	0.7	786
Nonmetallic mineral product manufacturing	327	5	5	0.2	113	0.3	1,496,912	0.3	1,019
Primary metal manufacturing	331	5	4	0.1	0	0.0	0	0.0	0
Fabricated metal product manufacturing	332	5	25	0.9	231	0.6	2,474,231	0.6	824
Machinery manufacturing	333	5	22	0.8	1,620	4.4	24,701,263	5.8	1,173
Computer and electronic product manufacturing	334	5	9	0.3	571	1.6	9,650,006	2.3	1,299
Electrical equipment and appliance manufacturing	335	5	6	0.2	6	0.0	126,013	0.0	1,531
Transportation equipment manufacturing	336	5	4	0.1	0	0.0	0	0.0	0
Furniture and related product manufacturing	337	5	7	0.3	56	0.2	562,800	0.1	778
Miscellaneous manufacturing	339	5	9	0.3	36	0.1	518,131	0.1	1,107
Wholesale trade	42	5	80	3.0	465	1.3	6,669,876	1.6	1,104
Merchant wholesalers, durable goods	423	5	38	1.4	326	0.9	4,312,089	1.0	1,019
Merchant wholesalers, nondurable goods	424	5	23	0.9	87	0.2	1,312,502	0.3	1,160
Electronic markets and agents and brokers	425	5	19	0.7	52	0.1	1,045,285	0.2	1,546
Retail trade	44-45	5	388	14.5	5,691	15.6	45,427,942	10.6	614
Motor vehicle and parts dealers	441	5	56	2.1	723	2.0	10,111,932	2.4	1,076
Building material and garden supply stores	444	5	24	0.9	639	1.7	4,887,922	1.1	588
Food and beverage stores	445	5	41	1.5	1,251	3.4	6,489,005	1.5	399
Food and beverage stores	449	5	28	1.0	203	0.6	2,212,079	0.5	838
Food and beverage stores	455	5	44	1.6	1,503	4.1	11,273,541	2.6	577
Food and beverage stores	456	5	45	1.7	338	0.9	3,105,536	0.7	706
Food and beverage stores	457	5	57	2.1	362	1.0	2,330,299	0.5	495
Food and beverage stores	458	5	32	1.2	234	0.6	1,374,216	0.3	452
Food and beverage stores	459	5	61	2.3	437	1.2	3,643,412	0.8	642
Transportation and warehousing	48-49	1	8	0.3	160	0.4	2,423,897	0.6	1,163
Transportation and warehousing	48-49	5	44	1.6	157	0.4	1,442,978	0.3	707
Air transportation	481	5	1	0.0	0	0.0	0	0.0	0
Truck transportation	484	5	32	1.2	102	0.3	963,966	0.2	727
Transit and ground passenger transportation	485	5	3	0.1	0	0.0	0	0.0	0
Support activities for transportation	488	5	2	0.1	0	0.0	0	0.0	0
Postal service	491	1	8	0.3	160	0.4	2,423,897	0.6	1,163
Couriers and messengers	492	5	3	0.1	0	0.0	0	0.0	0
Warehousing and storage	493	5	3	0.1	12	0.0	140,990	0.0	930
Information	51	5	57	2.1	205	0.6	4,524,752	1.1	1,701
Motion picture and sound recording industries	512	5	4	0.1	0	0.0	0	0.0	0
Motion picture and sound recording industries	513	5	19	0.7	91	0.2	2,047,193	0.5	1,737
Internet publishing and broadcasting	516	5	2	0.1	0	0.0	0	0.0	0
Telecommunications	517	5	6	0.2	31	0.1	719,985	0.2	1,787
ISPs, search portals, and data processing	518	5	14	0.5	62	0.2	1,379,376	0.3	1,721
Other information services	519	5	12	0.4	8	0.0	259,100	0.1	2,600
Finance and insurance	52	5	160	6.0	563	1.5	12,013,494	2.8	1,640
Monetary authorities - central bank	521	5	1	0.0	0	0.0	0	0.0	0
Credit intermediation and related activities	522	5	63	2.3	352	1.0	6,109,145	1.4	1,336
Securities, commodity contracts, investments	523	5	37	1.4	57	0.2	3,603,512	0.8	4,892
Insurance carriers and related activities	524	5	56	2.1	153	0.4	2,271,853	0.5	1,140
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	107	4.0	358	1.0	2,792,332	0.7	600
Real estate	531	3	1	0.0	0	0.0	0	0.0	0
Real estate	531	5	99	3.7	336	0.9	2,626,485	0.6	601
Rental and leasing services	532	5	8	0.3	22	0.1	165,847	0.0	580
Professional and technical services	54	5	283	10.5	894	2.4	15,244,331	3.6	1,312
Professional and technical services	541	5	283	10.5	894	2.4	15,244,331	3.6	1,312
Management of companies and enterprises	55	5	18	0.7	39	0.1	753,528	0.2	1,486
Management of companies and enterprises	551	5	18	0.7	39	0.1	753,528	0.2	1,486
Administrative and waste services	56	5	143	5.3	869	2.4	7,671,811	1.8	679
Administrative and support services	561	5	129	4.8	833	2.3	7,141,731	1.7	660
Waste management and remediation services	562	5	14	0.5	36	0.1	530,080	0.1	1,122
Educational services	61	2	1	0.0	0	0.0	0	0.0	0
Educational services	61	3	33	1.2	0	0.0	0	0.0	0
Educational services	61	5	28	1.0	434	1.2	3,186,766	0.7	565
Educational services	611	2	1	0.0	0	0.0	0	0.0	0
Educational services	611	3	33	1.2	0	0.0	0	0.0	0
Educational services	611	5	28	1.0	434	1.2	3,186,766	0.7	565
Health care and social assistance	62	2	1	0.0	0	0.0	0	0.0	0
Health care and social assistance	62	3	2	0.1	0	0.0	0	0.0	0
Health care and social assistance	62	5	302	11.3	3,259	8.9	39,516,109	9.2	933
Ambulatory health care services	621	2	1	0.0	0	0.0	0	0.0	0
Ambulatory health care services	621	3	1	0.0	0	0.0	0	0.0	0
Ambulatory health care services	621	5	151	5.6	1,659	4.5	25,641,905	6.0	1,189
Hospitals	622	3	1	0.0	0	0.0	0	0.0	0
Hospitals	622	5	7	0.3	0	0.0	0	0.0	0
Nursing and residential care facilities	623	5	25	0.9	760	2.1	6,679,493	1.6	676
Social assistance	624	5	119	4.4	0	0.0	0	0.0	0
Arts, entertainment, and recreation	71	5	49	1.8	776	2.1	4,180,842	1.0	414
Performing arts and spectator sports	711	5	11	0.4	35	0.1	239,055	0.1	525
Museums, historical sites, zoos, and parks	712	5	3	0.1	8	0.0	52,756	0.0	507
Amusements, gambling, and recreation	713	5	35	1.3	733	2.0	3,889,031	0.9	408
Accommodation and food services	72	5	281	10.5	5,300	14.5	22,701,028	5.3	329
Accommodation	721	5	23	0.9	280	0.8	1,682,973	0.4	462
Food services and drinking places	722	5	258	9.6	5,020	13.7	21,018,055	4.9	322
Other services, except public administration	81	5	175	6.5	761	2.1	5,961,534	1.4	602
Repair and maintenance	811	5	77	2.9	289	0.8	2,602,585	0.6	693
Personal and laundry services	812	5	49	1.8	372	1.0	2,557,354	0.6	529
Membership associations and organizations	813	5	20	0.7	62	0.2	645,742	0.2	797
Private households	814	5	29	1.1	38	0.1	155,853	0.0	315
Public administration	92	1	5	0.2	16	0.0	329,001	0.1	1,582
Public administration	92	2	20	0.7	284	0.8	2,682,177	0.6	727
Public administration	92	3	10	0.4	1,290	3.5	12,959,951	3.0	773
Executive, legislative and general government	921	2	3	0.1	0	0.0	0	0.0	0
Executive, legislative and general government	921	3	9	0.3	0	0.0	0	0.0	0
Justice, public order, and safety activities	922	2	3	0.1	21	0.1	251,450	0.1	921
Administration of human resource programs	923	2	5	0.2	103	0.3	1,017,463	0.2	760
Administration of environmental programs	924	1	2	0.1	8	0.0	186,922	0.0	1,797
Administration of environmental programs	924	2	3	0.1	81	0.2	603,234	0.1	573
Administration of environmental programs	924	3	1	0.0	0	0.0	0	0.0	0
Administration of economic programs	926	1	2	0.1	2	0.0	28,649	0.0	1,102
Administration of economic programs	926	2	5	0.2	74	0.2	759,490	0.2	793
National security and international affairs	928	1	1	0.0	6	0.0	113,430	0.0	1,454
National security and international affairs	928	2	1	0.0	0	0.0	0	0.0	0
Unclassified establishments	99	5	6	0.2	0	0.0	0	0.0	0
Unclassified establishments	999	5	6	0.2	0	0.0	0	0.0	0

4.1 Census Tract Demographic-Economic Characteristics .. goto topics

There are 37 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
45077010100	3,155	1,561	1,594	3,005	91	0	14	0	0	45	5	1,232	3,070	1,285	969	2,564	541	170	1,285	1,182	103	583	50,845	68,994	197,200	-6	0
45077010201	1,221	641	580	1,138	35	0	0	0	0	48	48	286	1,221	507	408	968	97	57	507	484	23	541	108,523	120,595	496,600	-6	1
45077010202	3,358	1,614	1,744	3,270	24	0	0	0	47	17	59	541	3,264	1,191	943	2,381	308	230	1,191	1,091	100	242	59,125	76,107	120,600	723	0
45077010301	3,516	1,758	1,758	3,477	0	0	4	0	3	32	95	468	3,516	1,484	938	2,475	383	505	1,484	1,313	171	176	60,650	73,611	131,900	588	1
45077010302	2,590	1,272	1,318	2,374	26	3	10	0	30	147	273	463	2,590	1,089	818	1,941	278	264	1,089	982	107	80	65,932	67,083	157,400	669	0
45077010401	2,299	1,208	1,091	2,260	0	0	0	0	0	39	71	349	2,299	854	662	1,554	371	318	854	680	174	186	43,682	50,735	80,700	702	0
45077010403	2,347	1,234	1,113	2,312	0	0	0	0	0	35	0	336	2,347	828	654	1,500	246	265	828	686	142	45	58,750	76,250	171,800	670	1
45077010404	3,036	1,533	1,503	2,665	269	0	52	0	4	46	17	339	2,862	1,055	674	1,676	321	244	1,055	612	443	86	51,002	59,250	148,100	705	0
45077010405	3,245	1,596	1,649	3,115	110	0	0	0	0	20	35	744	3,245	1,308	1,046	2,498	428	592	1,308	979	329	88	50,500	56,146	135,900	797	0
45077010501	2,290	1,123	1,167	2,269	21	0	0	0	0	0	71	624	2,275	924	619	1,744	202	293	924	802	122	198	49,808	65,117	131,800	838	0
45077010502	2,802	1,385	1,417	2,613	183	0	0	0	1	5	137	506	2,725	1,127	790	1,910	426	385	1,127	738	389	263	40,509	44,632	115,200	750	0
45077010601	3,054	1,449	1,605	2,980	31	0	0	0	21	22	70	592	3,054	1,262	868	2,298	341	430	1,262	1,066	196	194	61,064	73,426	158,600	690	0
45077010603	3,761	1,624	2,137	3,421	11	72	0	0	107	150	130	634	3,761	1,404	1,119	2,433	300	499	1,404	1,021	383	19	52,667	75,195	226,300	813	0
45077010604	3,179	1,571	1,608	2,987	153	30	9	0	0	0	143	494	3,179	1,245	922	2,386	398	380	1,245	1,028	217	209	63,224	67,344	159,800	1,039	0
45077010700	3,880	1,869	2,011	3,545	261	0	21	0	0	53	226	714	3,880	1,552	1,123	2,521	242	465	1,552	1,282	270	276	59,141	72,411	121,900	747	0
45077010802	3,673	1,681	1,992	2,789	459	0	7	0	239	179	611	447	3,668	1,471	1,092	2,662	294	508	1,471	909	562	116	57,485	64,479	133,100	911	0
45077010803	3,968	2,118	1,850	3,234	562	0	10	0	8	154	250	539	3,964	1,535	888	2,676	414	410	1,535	888	647	156	41,266	47,667	110,500	802	0
45077010804	3,818	1,774	2,044	3,141	517	0	28	0	44	88	95	733	3,818	1,851	1,106	2,933	340	501	1,851	1,342	509	214	43,507	75,439	172,000	676	1
45077010805	2,381	1,151	1,230	1,836	470	0	6	0	24	45	171	565	2,282	1,042	600	1,655	311	295	1,042	575	467	230	51,500	78,400	160,800	595	0
45077010806	2,123	1,038	1,085	1,704	145	0	157	0	73	44	203	326	2,118	716	538	1,378	163	232	716	447	269	95	48,312	49,477	126,900	888	0
45077010901	5,025	2,373	2,652	4,488	380	0	22	18	24	93	93	1,107	4,986	1,927	1,345	3,604	532	391	1,927	1,423	504	111	59,440	70,442	160,900	837	0
45077010903	6,083	3,106	2,977	5,063	612	0	0	0	265	143	233	1,420	6,050	2,604	1,553	4,561	560	777	2,604	2,283	321	84	54,046	57,702	159,300	870	0
45077010904	3,831	2,111	1,720	3,087	265	0	26	0	444	9	484	875	3,756	1,404	1,188	2,619	174	408	1,404	1,366	38	57	94,671	100,086	195,000	-6	0
45077010905	3,524	1,388	2,136	3,287	0	0	163	0	74	0	185	694	3,524	1,717	961	2,699	248	400	1,717	990	727	251	45,801	90,885	243,800	497	1
45077011001	3,092	1,608	1,484	2,999	57	0	0	0	0	36	56	532	3,092	1,141	867	2,211	495	331	1,141	961	180	152	60,170	62,148	150,900	742	0
45077011003	2,379	1,338	1,041	2,318	22	3	4	0	0	32	32	357	2,352	858	684	1,502	277	239	858	674	184	100	64,000	71,382	156,400	799	0
45077011004	4,724	2,490	2,234	4,276	193	0	0	0	61	194	7	929	4,714	1,704	1,373	3,054	692	432	1,704	1,455	249	149	57,734	77,180	120,300	869	0
45077011005	2,920	1,582	1,338	2,367	541	0	1	0	0	11	11	403	2,920	1,283	898	2,194	392	367	1,283	1,107	176	35	55,893	81,638	119,900	800	0
45077011101	2,660	1,306	1,354	2,324	117	5	103	0	5	106	165	332	2,660	970	706	1,633	159	222	970	674	296	110	53,478	67,500	196,900	889	1
45077011103	1,719	849	870	1,646	46	0	1	0	0	26	30	354	1,719	624	494	1,131	145	170	624	517	107	57	46,574	54,091	104,900	833	0
45077011104	4,871	2,302	2,569	3,497	395	33	363	0	0	583	130	285	4,871	2,291	641	2,329	412	131	2,291	193	2,098	222	31,435	52,044	151,300	789	1
45077011105	2,977	1,446	1,531	2,227	488	0	43	0	83	136	130	486	2,653	1,454	502	1,807	252	215	1,454	580	874	171	25,887	59,674	132,700	618	0
45077011202	5,407	2,329	3,078	4,529	576	0	75	0	106	121	191	29	129	57	16	104	4	0	57	33	24	0	-6	92,500	381,300	650	0
45077011204	5,413	3,141	2,272	4,309	458	0	450	0	67	129	187	312	5,391	2,275	720	2,351	188	218	2,275	686	1,589	298	37,045	62,500	146,700	830	1
45077011205	3,547	2,351	1,196	2,822	301	1	372	0	31	20	138	231	3,499	1,277	256	1,050	101	59	1,277	369	908	431	32,104	126,875	294,400	1,256	1
45077011206	4,491	2,290	2,201	3,984	209	0	172	0	0	126	0	475	4,491	1,713	957	2,228	66	141	1,713	968	745	79	68,656	102,105	252,300	987	1
45077011207	3,022	1,403	1,619	2,411	130	0	397	0	0	84	30	808	2,968	1,493	778	2,280	62	30	1,493	841	652	113	77,434	126,731	333,900	835	0

Thematic Pattern & Reference Maps for Pickens 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 45077 .. 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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