Situation & Outlook Report
  Sedgwick County, KS  
  .. an information resource developed by ProximityOne .. more about these resources
  .. created 01/21/23

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 Sedgwick County, KS.
.. See more details using the table of contents below this summary.

Metro Counties and Population Change; 2010-2030 .. generated by DEDE
Wichita, KS metro/CBSA (48620).
The following table shows Metro component county population & population change:

Area Name	Pop 2010	Pop 2020	Pop 2021	Pop 2022	Pop 2030	Chg 2010-20	%Chg 2010-20	Chg 2020-30	%Chg 2020-30
Butler County, KS	65,901	67,401	67,889	68,172	70,432	1,500	2.3	3,031	4.5
Harvey County, KS	34,740	33,942	33,817	33,592	31,788	-798	-2.3	-2,155	-6.3
Sedgwick County, KS	499,138	524,246	523,828	524,409	529,053	25,108	5.0	4,807	0.9
Sumner County, KS	24,119	22,332	22,385	22,311	21,715	-1,787	-7.4	-618	-2.8
Metro totals ...	623,898	647,921	647,919	648,482	652,986	24,023	3.9	5,065	0.8

Residential Construction. November 2022 new authorized residential construction was 106 total units with total value of $30,868,355. 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 211,920 (2010) to 223,763 (2020), a change of 11,843 (5.6%). 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 Sedgwick County, KS changed from 499,138 (2010) to 519,907 (2020), a change of 20,769 (4.2%).

Components of population change during the 2010-2020 period were births 72,880, deaths 43,888, and net migration -8,079. The population natural increase, births less deaths, was 28,992.

The 7/1/20 model-based population estimate was 524,246 compared to the 7/1/21 model-based population estimate of 523,828. Components of change over the year were births 6,527, deaths 5,570, international migration 276, domestic migration -1,736. The net migration was -1,460. The natural increase was 957.

Income. The median household income changed from $45,996 in 2010 to $59,789 in 2020, a change of $13,793 ( 30.0%).

Poverty. The number of people in poverty (all ages) changed from 75,266 in 2010 to 68,637 in 2020, a change of -6,629 ( -8.8%). The poverty rate (all ages) changed from 15.3 in 2010 to 13.4 in 2020, a change of -1.9 ( -12.4%). See more details in Section 00 below.

Wichita city .. the largest city in Sedgwick County, KS. The 7/1/20 model-based population estimate of Wichita city was 397,070 compared to the 7/1/21 model-based population estimate of 397,117, a change of 47 or 0.0%. See more about Wichita 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: 2010-2021

For most counties, median household income (MHI) has increased between 2010 and 2021, 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 2010-2021 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.

Sedgwick 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

$45,996

27,167

20.4

133,276

16,490

17.5

94,060

75,266

15.3

491,641

2011

$49,526

28,361

21.3

132,871

17,580

18.8

93,756

75,065

15.2

493,205

2012

$47,649

30,674

23.1

133,026

19,937

21.2

93,857

81,454

16.4

496,103

2013

$48,671

29,273

22.1

132,682

18,125

19.3

94,151

79,780

16.0

497,913

2014

$51,175

25,795

19.4

132,818

17,797

18.9

94,338

73,532

14.7

501,234

2015

$50,995

27,528

20.7

132,924

18,024

18.9

95,143

76,898

15.2

504,346

2016

$52,612

23,556

17.8

131,994

16,064

16.8

95,388

75,334

14.9

504,645

2017

$54,176

23,239

17.8

130,673

15,813

16.7

94,427

72,015

14.2

505,764

2018

$56,381

22,111

17.1

129,452

14,599

15.5

94,256

67,722

13.4

505,550

2019

$60,014

21,279

16.5

128,714

14,501

15.4

94,253

64,061

12.6

508,048

2020

$59,789

22,208

17.3

128,541

14,877

15.7

94,740

68,637

13.4

511,645

2021

$60,540

21,615

16.6

129,883

13,902

14.4

96,823

68,690

13.3

516,224

Kansas

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

$47,888

129,009

18.1

714,397

81,077

15.9

508,829

374,677

13.5

2,775,358

2011

$48,844

133,478

18.8

710,722

82,311

16.2

507,925

383,859

13.8

2,786,839

2012

$50,140

135,261

19.0

711,813

87,594

17.2

508,674

392,095

14.0

2,802,171

2013

$50,892

131,251

18.4

713,209

84,325

16.5

512,053

391,718

13.9

2,811,674

2014

$52,392

125,562

17.6

711,445

83,873

16.4

510,605

381,506

13.5

2,821,429

2015

$53,802

119,994

16.9

710,104

78,192

15.3

512,077

366,069

12.9

2,830,955

2016

$54,828

100,996

14.3

704,941

67,810

13.2

511,928

343,773

12.2

2,825,887

2017

$56,382

102,858

14.7

699,235

67,873

13.4

506,188

335,371

11.9

2,827,374

2018

$58,150

102,616

14.8

691,758

68,153

13.5

503,752

336,892

11.9

2,825,674

2019

$62,028

97,920

14.3

686,042

64,613

12.9

502,274

319,931

11.3

2,826,822

2020

$63,214

88,491

13.0

680,850

59,792

11.9

500,943

300,931

10.6

2,827,805

2021

$64,128

93,202

13.5

690,163

62,373

12.2

513,257

332,457

11.6

2,854,624

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

2021

$69,717

12,243,219

16.9

72,297,129

8,636,275

16.1

53,700,713

41,393,176

12.8

324,173,084

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

Examine GDP components and compare Sedgwick County, KS to other areas using this interactive table.

02. How & Why Sedgwick County, KS is Changing .. goto topics
Sedgwick County, KS (20173), part of Wichita, KS MSA (48620), changed in population from 499,138 (2010) to 519,907 (2020), a change of 20,769 (4.2%).
Factors accounting the change over the decade 2010 to 2020 include:
  • Births 2010-2020: 72,880
  • Deaths 2010-2020: 43,888
  • Natural Increase 2010-2020: 28,992
  • Net Migration 2010-2020: -8,079

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

Population 7/1/20	524,246
Births 6/30/19-7/1/20	6,092
Deaths 6/30/19-7/1/20	5,572
Natural Increase 6/30/19-7/1/20	520
International Migration 6/30/19-7/1/20	80
Domestic Migration 6/30/19-7/1/20	1,064
Net Migration 6/30/19-7/1/20	1,144
Population 7/1/21	523,828
Births 6/30/20-7/1/21	6,527
Deaths 6/30/20-7/1/21	5,570
Natural Increase 6/30/20-7/1/21	957
International Migration 6/30/20-7/1/21	276
Domestic Migration 6/30/20-7/1/21	-1,736
Net Migration 6/30/20-7/1/21	-1,460

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

Sedgwick County, KS .. 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	498,365	100.0	523,824	100.0	25,459	5.1
One race	478,487	96.0	466,162	89.0	-12,325	-2.6
White alone	380,482	76.3	357,757	68.3	-22,725	-6.0
Black alone	46,167	9.3	46,531	8.9	364	0.8
American India/Alaskan Native alone	5,739	1.2	6,581	1.3	842	14.7
Asian alone	20,385	4.1	22,511	4.3	2,126	10.4
Native Hawaiian and Other Pacific Islander alone	412	0.1	575	0.1	163	39.6
Other race	25,302	5.1	32,207	6.1	6,905	27.3
Two or more races	19,878	4.0	57,662	11.0	37,784	190.1
White, Non-Hispanic	348,434	69.9	336,271	64.2	-12,163	-3.5
Black Non-Hispanic	44,931	9.0	45,076	8.6	145	0.3
Hispanic (of any race)	64,636	13.0	82,630	15.8	17,994	27.8
Total population, 18 years or older	362,989	72.8	392,877	75.0	29,888	8.2
One race	354,562	71.1	358,422	68.4	3,860	1.1
White alone	288,253	57.8	280,732	53.6	-7,521	-2.6
Black alone	31,593	6.3	33,239	6.3	1,646	5.2
American India/Alaskan Native alone	4,025	0.8	4,817	0.9	792	19.7
Asian alone	15,023	3.0	17,655	3.4	2,632	17.5
Native Hawaiian and Other Pacific Islander alone	292	0.1	419	0.1	127	43.5
Other race	15,376	3.1	21,560	4.1	6,184	40.2
Two or more races	8,427	1.7	34,455	6.6	26,028	308.9
White, Non-Hispanic	269,799	54.1	268,219	51.2	-1,580	-0.6
Black Non-Hispanic	31,063	6.2	32,575	6.2	1,512	4.9
Hispanic (of any race)	36,920	7.4	51,217	9.8	14,297	38.7
Group Quarters population	7,252	1.5	11,084	2.1	3,832	52.8
Group Quarters, institutionalized population	4,051	0.8	5,160	1.0	1,109	27.4
Group Quarters, noninstitutionalized population	3,201	0.6	5,924	1.1	2,723	85.1
Housing Units	211,593	100.0	223,640	100.0	12,047	5.7
Occupied	193,502	91.5	205,247	91.8	11,745	6.1
Vacant	18,091	8.5	18,393	8.2	302	1.7

1.1 Population & Components of Change .. goto topics

Based on Census Bureau model-based population estimates, the Sedgwick County, KS population changed from 499,138 in 2010 to 519,907 in 2020, a change of 20,769 (4.2%).

Population/Component	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
Population	499,138	501,051	504,171	506,542	509,084	511,230	513,324	513,392	513,877	516,579	519,907
Births	2,024	7,969	7,740	7,802	7,454	7,259	7,358	7,093	6,796	6,740	6,669
Deaths	1,023	4,057	4,003	4,149	4,176	4,485	4,474	4,500	4,626	4,555	4,863
Natural Increase	1,001	3,912	3,737	3,653	3,278	2,774	2,884	2,593	2,170	2,185	1,806
Net Migration	-191	-2,003	-552	-1,259	-687	-596	-775	-2,515	-1,685	503	1,490
International	136	858	1,077	1,050	1,144	1,529	1,247	360	714	518	415
Domestic	415	-327	-2,861	-1,629	-2,309	-1,831	-2,125	-2,022	-2,875	-2,399	-15
Group Quarters	7,252	7,292	7,303	7,297	7,297	7,287	7,262	7,246	7,240	7,237	7,238

Examine population estimates/components of change and compare Sedgwick County, KS 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
Andale city 2001775	934	950	965	969	985	997	1,000	997	988	987
Bel Aire city 2005337	6,779	6,798	6,831	6,906	7,264	7,401	7,646	7,903	8,070	8,300
Bentley city 2006125	530	530	530	532	530	530	526	522	518	517
Cheney city 2012775	2,101	2,111	2,128	2,144	2,157	2,159	2,173	2,166	2,170	2,167
Clearwater city 2013925	2,490	2,490	2,496	2,530	2,533	2,536	2,526	2,522	2,543	2,552
Colwich city 2015100	1,330	1,330	1,334	1,343	1,360	1,374	1,401	1,402	1,409	1,467
Derby city 2017800	22,524	22,732	22,998	23,113	23,277	23,441	23,635	23,651	24,708	24,943
Eastborough city 2019300	760	758	758	758	756	754	749	744	735	732
Garden Plain city 2025375	849	857	862	868	882	900	901	895	900	909
Goddard city 2026725	4,417	4,486	4,540	4,591	4,698	4,723	4,732	4,748	4,727	4,796
Haysville city 2031125	10,840	10,884	10,957	11,021	11,108	11,192	11,258	11,268	11,266	11,338
Kechi city 2036225	1,917	1,946	1,964	1,968	1,992	1,999	2,005	2,000	1,996	2,005
Maize city 2044200	3,479	3,591	3,713	3,841	4,083	4,366	4,452	4,539	4,649	4,934
Mulvane city (part) 2049100	5,154	5,160	5,275	5,296	5,300	5,315	5,334	5,379	5,432	5,491
Park City city 2054450	7,347	7,395	7,455	7,545	7,572	7,632	7,764	7,680	7,699	7,703
Sedgwick city (part) 2063800	192	194	195	195	197	195	196	193	193	195
Viola city 2074025	130	130	132	131	131	131	130	129	128	128
Wichita city 2079000	382,745	383,773	385,751	387,210	388,416	389,412	390,519	390,277	389,231	389,938
Balance of Sedgwick County 2099990	36,973	37,169	37,439	37,655	37,868	38,015	38,085	38,050	38,015	38,753
Mount Hope city 2048900	813	817	818	818	816	814	812	804	800	801
Valley Center city 2073250	6,824	6,910	6,958	7,010	7,043	7,197	7,332	7,288	7,303	7,325
Andover city (part) 2001800	0	0	0	0	0	0	0	0	0	0

Examine city/place population estimates and compare places in Sedgwick County, KS to other areas using this interactive table.
.. use the county code 20173 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 651 mover partner areas for Sedgwick County, KS. There were a total inbound movers of 26223 and a total outbound movers of 24110, for a net movers of -300 (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:\dede2\movers_2019_20173.dbf.

Residence 1 Year Age	Geocode	Moved to 20173	Moved from 20173	Net Movers
Africa	null	516	null	null
Asia	null	985	null	null
Central America	null	138	null	null
Caribbean	null	97	null	null
Europe	null	429	null	null
Northern America	null	38	null	null
Oceania and At Sea	null	71	null	null
South America	null	139	null	null
Baldwin County, Alabama	01003	80	0	80
Geneva County, Alabama	01061	0	2	-2
Jefferson County, Alabama	01073	0	45	-45
Lauderdale County, Alabama	01077	30	0	30
Lee County, Alabama	01081	0	28	-28
Mobile County, Alabama	01097	35	0	35
Pickens County, Alabama	01107	0	8	-8
Washington County, Alabama	01129	0	18	-18
Winston County, Alabama	01133	0	3	-3
Anchorage Municipality, Alaska	02020	0	80	-80
Fairbanks North Star Borough, Alaska	02090	0	34	-34
Wrangell City and Borough, Alaska	02275	0	1	-1
Cochise County, Arizona	04003	2	0	2
Maricopa County, Arizona	04013	378	273	105
Mohave County, Arizona	04015	132	0	132
Pima County, Arizona	04019	0	1	-1
Pinal County, Arizona	04021	20	81	-61
Yavapai County, Arizona	04025	17	0	17
Benton County, Arkansas	05007	86	30	56
Faulkner County, Arkansas	05045	74	19	55
Pulaski County, Arkansas	05119	17	0	17
Sebastian County, Arkansas	05131	11	49	-38
Washington County, Arkansas	05143	37	84	-47
White County, Arkansas	05145	7	0	7
Alameda County, California	06001	7	22	-15
Fresno County, California	06019	16	0	16
Inyo County, California	06027	0	4	-4
Kern County, California	06029	10	0	10
Los Angeles County, California	06037	299	132	167
Orange County, California	06059	114	0	114
Placer County, California	06061	18	0	18
Riverside County, California	06065	443	20	423
Sacramento County, California	06067	51	7	44
San Benito County, California	06069	0	38	-38
San Bernardino County, California	06071	80	138	-58
San Diego County, California	06073	65	87	-22
San Francisco County, California	06075	0	20	-20
San Joaquin County, California	06077	0	107	-107
San Mateo County, California	06081	0	45	-45
Santa Barbara County, California	06083	3	21	-18
Santa Clara County, California	06085	51	163	-112
Stanislaus County, California	06099	51	0	51
Tulare County, California	06107	4	0	4
Ventura County, California	06111	28	11	17
Yuba County, California	06115	0	44	-44
Adams County, Colorado	08001	27	33	-6
Alamosa County, Colorado	08003	0	2	-2
Arapahoe County, Colorado	08005	220	75	145
Boulder County, Colorado	08013	140	0	140
Broomfield County, Colorado	08014	10	0	10
Delta County, Colorado	08029	9	0	9
Denver County, Colorado	08031	160	143	17
Douglas County, Colorado	08035	69	23	46
Elbert County, Colorado	08039	0	16	-16
El Paso County, Colorado	08041	584	109	475
Fremont County, Colorado	08043	6	0	6
Gunnison County, Colorado	08051	0	30	-30
Jefferson County, Colorado	08059	11	77	-66
Kiowa County, Colorado	08061	0	3	-3
La Plata County, Colorado	08067	20	0	20
Larimer County, Colorado	08069	129	0	129
Mesa County, Colorado	08077	26	0	26
Moffat County, Colorado	08081	0	12	-12
Morgan County, Colorado	08087	0	27	-27
Otero County, Colorado	08089	0	6	-6
Ouray County, Colorado	08091	0	48	-48
Pueblo County, Colorado	08101	0	26	-26
Routt County, Colorado	08107	0	34	-34
Weld County, Colorado	08123	11	41	-30
Fairfield County, Connecticut	09001	35	0	35
Hartford County, Connecticut	09003	0	15	-15
Middlesex County, Connecticut	09007	22	0	22
New Haven County, Connecticut	09009	33	0	33
District of Columbia, District of Columbia	11001	2	9	-7
Bay County, Florida	12005	106	0	106
Brevard County, Florida	12009	18	79	-61
Duval County, Florida	12031	22	11	11
Escambia County, Florida	12033	22	33	-11
Hillsborough County, Florida	12057	34	44	-10
Lee County, Florida	12071	63	12	51
Manatee County, Florida	12081	20	0	20
Marion County, Florida	12083	0	76	-76
Miami-Dade County, Florida	12086	74	0	74
Okaloosa County, Florida	12091	0	70	-70
Orange County, Florida	12095	37	56	-19
Palm Beach County, Florida	12099	32	0	32
Pasco County, Florida	12101	0	75	-75
Pinellas County, Florida	12103	28	32	-4
Polk County, Florida	12105	22	10	12
Santa Rosa County, Florida	12113	78	0	78
Volusia County, Florida	12127	23	0	23
Barrow County, Georgia	13013	0	15	-15
Bartow County, Georgia	13015	20	0	20
Bibb County, Georgia	13021	16	0	16
Bryan County, Georgia	13029	0	112	-112
Chatham County, Georgia	13051	109	751	-642
Clarke County, Georgia	13059	0	3	-3
Cobb County, Georgia	13067	58	378	-320
DeKalb County, Georgia	13089	19	9	10
Douglas County, Georgia	13097	0	17	-17
Effingham County, Georgia	13103	0	21	-21
Fayette County, Georgia	13113	0	19	-19
Fulton County, Georgia	13121	32	91	-59
Gwinnett County, Georgia	13135	6	104	-98
Henry County, Georgia	13151	23	0	23
Houston County, Georgia	13153	11	28	-17
Muscogee County, Georgia	13215	10	30	-20
Spalding County, Georgia	13255	0	7	-7
Honolulu County, Hawaii	15003	56	0	56
Bannock County, Idaho	16005	0	8	-8
Bonner County, Idaho	16017	0	73	-73
Canyon County, Idaho	16027	0	32	-32
Madison County, Idaho	16065	0	16	-16
Champaign County, Illinois	17019	0	15	-15
Christian County, Illinois	17021	0	41	-41
Cook County, Illinois	17031	211	91	120
DuPage County, Illinois	17043	15	14	1
Jackson County, Illinois	17077	0	11	-11
Kane County, Illinois	17089	0	35	-35
Kankakee County, Illinois	17091	0	23	-23
Lake County, Illinois	17097	2	25	-23
McHenry County, Illinois	17111	0	55	-55
McLean County, Illinois	17113	21	0	21
Ogle County, Illinois	17141	0	12	-12
Peoria County, Illinois	17143	111	0	111
St. Clair County, Illinois	17163	20	0	20
Sangamon County, Illinois	17167	0	7	-7
Will County, Illinois	17197	23	8	15
Clay County, Indiana	18021	20	0	20
Elkhart County, Indiana	18039	8	0	8
Fulton County, Indiana	18049	24	0	24
Hendricks County, Indiana	18063	79	0	79
Lake County, Indiana	18089	3	17	-14
Marion County, Indiana	18097	0	124	-124
Porter County, Indiana	18127	77	0	77
St. Joseph County, Indiana	18141	13	92	-79
Black Hawk County, Iowa	19013	51	57	-6
Boone County, Iowa	19015	2	0	2
Buena Vista County, Iowa	19021	48	29	19
Carroll County, Iowa	19027	11	0	11
Clay County, Iowa	19041	5	0	5
Dallas County, Iowa	19049	0	24	-24
Decatur County, Iowa	19053	0	3	-3
Dubuque County, Iowa	19061	0	5	-5
Henry County, Iowa	19087	0	2	-2
Johnson County, Iowa	19103	0	18	-18
Lee County, Iowa	19111	0	10	-10
Linn County, Iowa	19113	0	31	-31
Marion County, Iowa	19125	0	5	-5
Monona County, Iowa	19133	0	79	-79
Palo Alto County, Iowa	19147	0	1	-1
Polk County, Iowa	19153	60	175	-115
Scott County, Iowa	19163	86	0	86
Story County, Iowa	19169	56	0	56
Washington County, Iowa	19183	20	0	20
Wayne County, Iowa	19185	0	5	-5
Woodbury County, Iowa	19193	51	0	51
Allen County, Kansas	20001	185	12	173
Anderson County, Kansas	20003	0	2	-2
Atchison County, Kansas	20005	31	108	-77
Barton County, Kansas	20009	130	156	-26
Bourbon County, Kansas	20011	0	19	-19
Butler County, Kansas	20015	1910	1689	221
Chase County, Kansas	20017	66	0	66
Chautauqua County, Kansas	20019	0	41	-41
Clark County, Kansas	20025	54	4	50
Clay County, Kansas	20027	46	11	35
Cloud County, Kansas	20029	0	33	-33
Coffey County, Kansas	20031	5	2	3
Cowley County, Kansas	20035	563	358	205
Crawford County, Kansas	20037	91	172	-81
Decatur County, Kansas	20039	0	8	-8
Dickinson County, Kansas	20041	9	77	-68
Doniphan County, Kansas	20043	0	19	-19
Douglas County, Kansas	20045	445	598	-153
Elk County, Kansas	20049	15	5	10
Ellis County, Kansas	20051	93	78	15
Ellsworth County, Kansas	20053	53	18	35
Finney County, Kansas	20055	179	34	145
Ford County, Kansas	20057	156	67	89
Franklin County, Kansas	20059	71	0	71
Geary County, Kansas	20061	167	21	146
Graham County, Kansas	20065	0	5	-5
Gray County, Kansas	20069	4	34	-30
Greeley County, Kansas	20071	7	6	1
Greenwood County, Kansas	20073	166	14	152
Harper County, Kansas	20077	4	30	-26
Harvey County, Kansas	20079	809	574	235
Haskell County, Kansas	20081	0	6	-6
Hodgeman County, Kansas	20083	0	8	-8
Jackson County, Kansas	20085	0	10	-10
Jefferson County, Kansas	20087	38	0	38
Johnson County, Kansas	20091	486	721	-235
Kearny County, Kansas	20093	0	5	-5
Kingman County, Kansas	20095	100	51	49
Labette County, Kansas	20099	72	42	30
Lane County, Kansas	20101	15	1	14
Leavenworth County, Kansas	20103	161	156	5
Lincoln County, Kansas	20105	0	1	-1
Linn County, Kansas	20107	0	10	-10
Logan County, Kansas	20109	0	8	-8
Lyon County, Kansas	20111	268	396	-128
McPherson County, Kansas	20113	143	121	22
Marion County, Kansas	20115	82	66	16
Marshall County, Kansas	20117	11	7	4
Meade County, Kansas	20119	15	14	1
Miami County, Kansas	20121	20	57	-37
Montgomery County, Kansas	20125	6	93	-87
Morris County, Kansas	20127	15	8	7
Nemaha County, Kansas	20131	0	10	-10
Neosho County, Kansas	20133	189	28	161
Ness County, Kansas	20135	0	5	-5
Norton County, Kansas	20137	35	110	-75
Osborne County, Kansas	20141	0	11	-11
Ottawa County, Kansas	20143	30	1	29
Pawnee County, Kansas	20145	58	81	-23
Phillips County, Kansas	20147	0	11	-11
Pottawatomie County, Kansas	20149	32	10	22
Pratt County, Kansas	20151	161	23	138
Rawlins County, Kansas	20153	0	11	-11
Reno County, Kansas	20155	610	649	-39
Republic County, Kansas	20157	9	1	8
Rice County, Kansas	20159	44	47	-3
Riley County, Kansas	20161	531	578	-47
Rooks County, Kansas	20163	9	0	9
Rush County, Kansas	20165	0	12	-12
Russell County, Kansas	20167	34	1	33
Saline County, Kansas	20169	266	164	102
Scott County, Kansas	20171	1	9	-8
Seward County, Kansas	20175	19	91	-72
Shawnee County, Kansas	20177	371	1122	-751
Smith County, Kansas	20183	0	6	-6
Stafford County, Kansas	20185	5	9	-4
Stanton County, Kansas	20187	0	1	-1
Sumner County, Kansas	20191	494	568	-74
Thomas County, Kansas	20193	8	22	-14
Wabaunsee County, Kansas	20197	0	2	-2
Wilson County, Kansas	20205	96	62	34
Woodson County, Kansas	20207	0	8	-8
Wyandotte County, Kansas	20209	229	330	-101
Breathitt County, Kentucky	21025	0	39	-39
Christian County, Kentucky	21047	24	0	24
Daviess County, Kentucky	21059	0	34	-34
Meade County, Kentucky	21163	0	62	-62
Beauregard Parish, Louisiana	22011	0	14	-14
Bossier Parish, Louisiana	22015	0	3	-3
Caddo Parish, Louisiana	22017	3	0	3
Calcasieu Parish, Louisiana	22019	20	0	20
East Baton Rouge Parish, Louisiana	22033	19	6	13
Jefferson Parish, Louisiana	22051	23	64	-41
Lincoln Parish, Louisiana	22061	11	0	11
Orleans Parish, Louisiana	22071	0	1	-1
Pointe Coupee Parish, Louisiana	22077	8	0	8
Vermilion Parish, Louisiana	22113	0	128	-128
Vernon Parish, Louisiana	22115	11	0	11
West Feliciana Parish, Louisiana	22125	307	0	307
Cumberland County, Maine	23005	0	9	-9
Baltimore County, Maryland	24005	12	42	-30
Calvert County, Maryland	24009	26	0	26
Harford County, Maryland	24025	1	0	1
Montgomery County, Maryland	24031	31	0	31
Prince George's County, Maryland	24033	11	0	11
Berkshire County, Massachusetts	25003	0	16	-16
Hampden County, Massachusetts	25013	2	0	2
Middlesex County, Massachusetts	25017	63	0	63
Cheboygan County, Michigan	26031	0	5	-5
Chippewa County, Michigan	26033	4	0	4
Gladwin County, Michigan	26051	4	0	4
Jackson County, Michigan	26075	1	0	1
Kalamazoo County, Michigan	26077	0	88	-88
Kent County, Michigan	26081	19	0	19
St. Clair County, Michigan	26147	30	68	-38
Washtenaw County, Michigan	26161	0	45	-45
Wayne County, Michigan	26163	0	24	-24
Aitkin County, Minnesota	27001	0	17	-17
Becker County, Minnesota	27005	20	0	20
Beltrami County, Minnesota	27007	14	0	14
Brown County, Minnesota	27015	0	7	-7
Cass County, Minnesota	27021	0	2	-2
Douglas County, Minnesota	27041	0	8	-8
Hennepin County, Minnesota	27053	24	6	18
Isanti County, Minnesota	27059	0	25	-25
Le Sueur County, Minnesota	27079	0	14	-14
Ramsey County, Minnesota	27123	44	0	44
Harrison County, Mississippi	28047	5	27	-22
Hinds County, Mississippi	28049	4	0	4
Lafayette County, Mississippi	28071	5	0	5
Lauderdale County, Mississippi	28075	5	0	5
Adair County, Missouri	29001	28	0	28
Andrew County, Missouri	29003	121	0	121
Atchison County, Missouri	29005	0	2	-2
Barry County, Missouri	29009	0	3	-3
Bates County, Missouri	29013	0	3	-3
Boone County, Missouri	29019	114	7	107
Buchanan County, Missouri	29021	43	17	26
Caldwell County, Missouri	29025	0	16	-16
Callaway County, Missouri	29027	42	0	42
Camden County, Missouri	29029	10	92	-82
Cape Girardeau County, Missouri	29031	0	1	-1
Cass County, Missouri	29037	21	29	-8
Cedar County, Missouri	29039	0	6	-6
Christian County, Missouri	29043	16	0	16
Clay County, Missouri	29047	5	53	-48
Franklin County, Missouri	29071	0	2	-2
Greene County, Missouri	29077	32	59	-27
Henry County, Missouri	29083	0	5	-5
Howell County, Missouri	29091	14	0	14
Jackson County, Missouri	29095	102	511	-409
Jasper County, Missouri	29097	75	18	57
Jefferson County, Missouri	29099	13	10	3
Johnson County, Missouri	29101	0	10	-10
Lawrence County, Missouri	29109	0	44	-44
Mercer County, Missouri	29129	0	1	-1
Newton County, Missouri	29145	44	6	38
Osage County, Missouri	29151	0	8	-8
Pettis County, Missouri	29159	0	30	-30
Platte County, Missouri	29165	29	17	12
Polk County, Missouri	29167	18	10	8
Pulaski County, Missouri	29169	103	0	103
Putnam County, Missouri	29171	0	2	-2
Ralls County, Missouri	29173	8	0	8
St. Charles County, Missouri	29183	2	43	-41
St. Louis County, Missouri	29189	0	57	-57
Saline County, Missouri	29195	0	6	-6
Shelby County, Missouri	29205	0	8	-8
Stone County, Missouri	29209	0	159	-159
Sullivan County, Missouri	29211	9	0	9
Taney County, Missouri	29213	4	3	1
Texas County, Missouri	29215	0	33	-33
Vernon County, Missouri	29217	0	37	-37
Wayne County, Missouri	29223	0	2	-2
Wright County, Missouri	29229	198	4	194
St. Louis city, Missouri	29510	19	39	-20
Lewis and Clark County, Montana	30049	51	0	51
Missoula County, Montana	30063	0	28	-28
Valley County, Montana	30105	15	0	15
Adams County, Nebraska	31001	0	2	-2
Antelope County, Nebraska	31003	0	2	-2
Buffalo County, Nebraska	31019	0	3	-3
Dodge County, Nebraska	31053	0	36	-36
Douglas County, Nebraska	31055	14	92	-78
Hooker County, Nebraska	31091	0	4	-4
Jefferson County, Nebraska	31095	0	3	-3
Lancaster County, Nebraska	31109	22	30	-8
Lincoln County, Nebraska	31111	0	16	-16
Madison County, Nebraska	31119	29	0	29
Sarpy County, Nebraska	31153	135	37	98
Scotts Bluff County, Nebraska	31157	0	32	-32
Seward County, Nebraska	31159	7	0	7
Thayer County, Nebraska	31169	0	5	-5
York County, Nebraska	31185	14	0	14
Clark County, Nevada	32003	61	67	-6
Washoe County, Nevada	32031	9	0	9
Belknap County, New Hampshire	33001	66	0	66
Grafton County, New Hampshire	33009	0	13	-13
Burlington County, New Jersey	34005	0	12	-12
Camden County, New Jersey	34007	0	17	-17
Essex County, New Jersey	34013	1	12	-11
Monmouth County, New Jersey	34025	100	0	100
Somerset County, New Jersey	34035	9	0	9
Bernalillo County, New Mexico	35001	28	19	9
Curry County, New Mexico	35009	0	6	-6
Roosevelt County, New Mexico	35041	10	0	10
Sandoval County, New Mexico	35043	0	24	-24
Santa Fe County, New Mexico	35049	0	3	-3
Albany County, New York	36001	21	0	21
Bronx County, New York	36005	26	0	26
Delaware County, New York	36025	0	9	-9
Erie County, New York	36029	0	19	-19
Essex County, New York	36031	0	9	-9
Fulton County, New York	36035	27	10	17
Kings County, New York	36047	170	0	170
Monroe County, New York	36055	92	0	92
New York County, New York	36061	0	95	-95
Orange County, New York	36071	13	0	13
Queens County, New York	36081	0	3	-3
Catawba County, North Carolina	37035	33	0	33
Cleveland County, North Carolina	37045	14	0	14
Cumberland County, North Carolina	37051	0	15	-15
Davidson County, North Carolina	37057	13	0	13
Guilford County, North Carolina	37081	28	26	2
Henderson County, North Carolina	37089	33	0	33
Mecklenburg County, North Carolina	37119	0	16	-16
Onslow County, North Carolina	37133	156	80	76
Pitt County, North Carolina	37147	35	0	35
Randolph County, North Carolina	37151	0	7	-7
Wake County, North Carolina	37183	0	33	-33
Cass County, North Dakota	38017	0	5	-5
Grand Forks County, North Dakota	38035	0	6	-6
Clark County, Ohio	39023	0	29	-29
Columbiana County, Ohio	39029	0	20	-20
Coshocton County, Ohio	39031	0	3	-3
Cuyahoga County, Ohio	39035	5	0	5
Franklin County, Ohio	39049	98	2	96
Geauga County, Ohio	39055	9	0	9
Lawrence County, Ohio	39087	14	0	14
Miami County, Ohio	39109	5	0	5
Montgomery County, Ohio	39113	14	24	-10
Trumbull County, Ohio	39155	8	0	8
Wayne County, Ohio	39169	6	0	6
Bryan County, Oklahoma	40013	0	17	-17
Caddo County, Oklahoma	40015	5	3	2
Canadian County, Oklahoma	40017	0	43	-43
Cherokee County, Oklahoma	40021	0	12	-12
Cleveland County, Oklahoma	40027	172	170	2
Comanche County, Oklahoma	40031	13	8	5
Craig County, Oklahoma	40035	0	5	-5
Delaware County, Oklahoma	40041	96	25	71
Dewey County, Oklahoma	40043	5	0	5
Garfield County, Oklahoma	40047	0	74	-74
Grady County, Oklahoma	40051	22	69	-47
Grant County, Oklahoma	40053	0	16	-16
Greer County, Oklahoma	40055	0	1	-1
Jackson County, Oklahoma	40065	0	64	-64
Kay County, Oklahoma	40071	0	101	-101
Le Flore County, Oklahoma	40079	5	0	5
Lincoln County, Oklahoma	40081	0	2	-2
Logan County, Oklahoma	40083	15	0	15
Major County, Oklahoma	40093	0	13	-13
Marshall County, Oklahoma	40095	0	17	-17
Mayes County, Oklahoma	40097	0	2	-2
Muskogee County, Oklahoma	40101	14	0	14
Noble County, Oklahoma	40103	0	21	-21
Oklahoma County, Oklahoma	40109	175	250	-75
Okmulgee County, Oklahoma	40111	0	10	-10
Osage County, Oklahoma	40113	15	0	15
Ottawa County, Oklahoma	40115	0	3	-3
Pawnee County, Oklahoma	40117	39	0	39
Payne County, Oklahoma	40119	13	60	-47
Pittsburg County, Oklahoma	40121	18	9	9
Pontotoc County, Oklahoma	40123	0	7	-7
Pottawatomie County, Oklahoma	40125	0	6	-6
Pushmataha County, Oklahoma	40127	0	2	-2
Rogers County, Oklahoma	40131	8	76	-68
Seminole County, Oklahoma	40133	0	2	-2
Sequoyah County, Oklahoma	40135	3	0	3
Tulsa County, Oklahoma	40143	603	212	391
Wagoner County, Oklahoma	40145	55	13	42
Washington County, Oklahoma	40147	0	79	-79
Woods County, Oklahoma	40151	0	25	-25
Clackamas County, Oregon	41005	0	40	-40
Deschutes County, Oregon	41017	0	15	-15
Jackson County, Oregon	41029	17	0	17
Lane County, Oregon	41039	19	0	19
Linn County, Oregon	41043	22	0	22
Multnomah County, Oregon	41051	52	19	33
Umatilla County, Oregon	41059	8	0	8
Washington County, Oregon	41067	0	13	-13
Yamhill County, Oregon	41071	0	116	-116
Allegheny County, Pennsylvania	42003	15	62	-47
Beaver County, Pennsylvania	42007	0	8	-8
Bucks County, Pennsylvania	42017	0	12	-12
Butler County, Pennsylvania	42019	41	0	41
Chester County, Pennsylvania	42029	40	0	40
Cumberland County, Pennsylvania	42041	0	27	-27
Greene County, Pennsylvania	42059	10	0	10
Huntingdon County, Pennsylvania	42061	18	8	10
Mercer County, Pennsylvania	42085	19	0	19
Aiken County, South Carolina	45003	0	32	-32
Charleston County, South Carolina	45019	0	19	-19
Greenville County, South Carolina	45045	10	42	-32
Lexington County, South Carolina	45063	0	24	-24
York County, South Carolina	45091	0	22	-22
Codington County, South Dakota	46029	0	17	-17
Davison County, South Dakota	46035	7	0	7
Haakon County, South Dakota	46055	0	1	-1
Marshall County, South Dakota	46091	0	8	-8
Meade County, South Dakota	46093	0	44	-44
Minnehaha County, South Dakota	46099	50	0	50
Pennington County, South Dakota	46103	0	2	-2
Yankton County, South Dakota	46135	0	10	-10
Anderson County, Tennessee	47001	66	0	66
Cheatham County, Tennessee	47021	0	15	-15
Davidson County, Tennessee	47037	36	0	36
Hardin County, Tennessee	47071	0	10	-10
Knox County, Tennessee	47093	24	11	13
Loudon County, Tennessee	47105	21	0	21
Montgomery County, Tennessee	47125	0	45	-45
Shelby County, Tennessee	47157	66	4	62
Angelina County, Texas	48005	0	29	-29
Aransas County, Texas	48007	35	0	35
Archer County, Texas	48009	18	0	18
Bell County, Texas	48027	0	226	-226
Bexar County, Texas	48029	109	131	-22
Bowie County, Texas	48037	0	43	-43
Brazoria County, Texas	48039	11	85	-74
Brazos County, Texas	48041	1	0	1
Callahan County, Texas	48059	0	15	-15
Cameron County, Texas	48061	0	14	-14
Cherokee County, Texas	48073	0	51	-51
Coleman County, Texas	48083	7	0	7
Collin County, Texas	48085	46	168	-122
Coryell County, Texas	48099	0	18	-18
Dallas County, Texas	48113	32	317	-285
Deaf Smith County, Texas	48117	34	0	34
Denton County, Texas	48121	139	62	77
Ellis County, Texas	48139	29	22	7
El Paso County, Texas	48141	431	193	238
Galveston County, Texas	48167	38	35	3
Garza County, Texas	48169	0	11	-11
Hansford County, Texas	48195	0	9	-9
Harris County, Texas	48201	88	119	-31
Hays County, Texas	48209	79	0	79
Hidalgo County, Texas	48215	9	0	9
Hill County, Texas	48217	11	0	11
Jefferson County, Texas	48245	0	42	-42
Jim Wells County, Texas	48249	31	0	31
Johnson County, Texas	48251	12	0	12
Kleberg County, Texas	48273	0	6	-6
Lubbock County, Texas	48303	0	36	-36
McLennan County, Texas	48309	0	28	-28
Midland County, Texas	48329	15	0	15
Nacogdoches County, Texas	48347	0	67	-67
Nueces County, Texas	48355	0	29	-29
Parker County, Texas	48367	8	0	8
Potter County, Texas	48375	9	0	9
San Patricio County, Texas	48409	251	31	220
Tarrant County, Texas	48439	60	171	-111
Taylor County, Texas	48441	0	40	-40
Titus County, Texas	48449	0	5	-5
Travis County, Texas	48453	52	61	-9
Val Verde County, Texas	48465	9	0	9
Wichita County, Texas	48485	64	53	11
Williamson County, Texas	48491	26	161	-135
Cache County, Utah	49005	129	0	129
Davis County, Utah	49011	90	0	90
Duchesne County, Utah	49013	18	0	18
Salt Lake County, Utah	49035	0	37	-37
Summit County, Utah	49043	14	0	14
Utah County, Utah	49049	0	24	-24
Chesterfield County, Virginia	51041	2	0	2
Fairfax County, Virginia	51059	16	10	6
Stafford County, Virginia	51179	11	0	11
Alexandria city, Virginia	51510	0	27	-27
Harrisonburg city, Virginia	51660	0	7	-7
Newport News city, Virginia	51700	0	20	-20
Norfolk city, Virginia	51710	0	14	-14
Cowlitz County, Washington	53015	23	0	23
Franklin County, Washington	53021	8	0	8
Grant County, Washington	53025	0	78	-78
Island County, Washington	53029	18	0	18
Jefferson County, Washington	53031	0	2	-2
King County, Washington	53033	55	58	-3
Kitsap County, Washington	53035	0	36	-36
Pierce County, Washington	53053	33	0	33
Snohomish County, Washington	53061	32	41	-9
Spokane County, Washington	53063	5	0	5
Whatcom County, Washington	53073	0	12	-12
Kanawha County, West Virginia	54039	0	5	-5
Dane County, Wisconsin	55025	12	0	12
Kewaunee County, Wisconsin	55061	0	3	-3
Milwaukee County, Wisconsin	55079	39	29	10
Monroe County, Wisconsin	55081	0	83	-83
Sauk County, Wisconsin	55111	0	3	-3
Sawyer County, Wisconsin	55113	0	1	-1
Albany County, Wyoming	56001	0	5	-5
Laramie County, Wyoming	56021	2	0	2
Natrona County, Wyoming	56025	19	0	19
Naguabo Municipio, Puerto Rico	72103	9	0	9
Norwalk town, Fairfield County, Connecticut	0900156060	11	0	11
Stamford town, Fairfield County, Connecticut	0900173070	24	0	24
Windsor Locks town, Hartford County, Connecticut	0900387070	0	15	-15
Clinton town, Middlesex County, Connecticut	0900715350	22	0	22
East Haven town, New Haven County, Connecticut	0900922910	22	0	22
Meriden town, New Haven County, Connecticut	0900946520	11	0	11
Brunswick town, Cumberland County, Maine	2300508430	0	9	-9
Pittsfield city, Berkshire County, Massachusetts	2500353960	0	16	-16
Wilbraham town, Hampden County, Massachusetts	2501379740	2	0	2
Waltham city, Middlesex County, Massachusetts	2501772600	63	0	63
Munro township, Cheboygan County, Michigan	2603156280	0	5	-5
Pickford township, Chippewa County, Michigan	2603363980	4	0	4
Grout township, Gladwin County, Michigan	2605135620	4	0	4
Summit township, Jackson County, Michigan	2607577200	1	0	1
Oshtemo charter township, Kalamazoo County, Michigan	2607761400	0	26	-26
Portage city, Kalamazoo County, Michigan	2607765560	0	24	-24
Richland township, Kalamazoo County, Michigan	2607768260	0	38	-38
Grand Rapids city, Kent County, Michigan	2608134000	19	0	19
China township, St. Clair County, Michigan	2614715540	30	0	30
Clyde township, St. Clair County, Michigan	2614716760	0	68	-68
Ann Arbor city, Washtenaw County, Michigan	2616103000	0	45	-45
Dearborn Heights city, Wayne County, Michigan	2616321020	0	6	-6
Detroit city, Wayne County, Michigan	2616322000	0	18	-18
Aitkin city, Aitkin County, Minnesota	2700100460	0	17	-17
Audubon township, Becker County, Minnesota	2700502746	20	0	20
Northern township, Beltrami County, Minnesota	2700746906	14	0	14
Albin township, Brown County, Minnesota	2701500748	0	1	-1
Cottonwood township, Brown County, Minnesota	2701513546	0	6	-6
Ponto Lake township, Cass County, Minnesota	2702151928	0	2	-2
Carlos city, Douglas County, Minnesota	2704109964	0	8	-8
Bloomington city, Hennepin County, Minnesota	2705306616	5	0	5
Maple Grove city, Hennepin County, Minnesota	2705340166	15	0	15
Minneapolis city, Hennepin County, Minnesota	2705343000	4	0	4
Robbinsdale city, Hennepin County, Minnesota	2705354808	0	6	-6
Isanti city, Isanti County, Minnesota	2705931328	0	25	-25
New Prague city, Le Sueur County, Minnesota	2707945808	0	14	-14
St. Paul city, Ramsey County, Minnesota	2712358000	44	0	44
Laconia city, Belknap County, New Hampshire	3300140180	66	0	66
Lebanon city, Grafton County, New Hampshire	3300941300	0	13	-13
Delanco township, Burlington County, New Jersey	3400517080	0	12	-12
Gloucester City city, Camden County, New Jersey	3400726820	0	17	-17
Montclair township, Essex County, New Jersey	3401347500	1	0	1
Newark city, Essex County, New Jersey	3401351000	0	12	-12
Aberdeen township, Monmouth County, New Jersey	3402500070	12	0	12
Matawan borough, Monmouth County, New Jersey	3402544520	88	0	88
Franklin township, Somerset County, New Jersey	3403524900	9	0	9
Albany city, Albany County, New York	3600101000	21	0	21
Bronx borough, Bronx County, New York	3600508510	26	0	26
Middletown town, Delaware County, New York	3602547031	0	9	-9
Cheektowaga town, Erie County, New York	3602915011	0	19	-19
North Elba town, Essex County, New York	3603151935	0	9	-9
Johnstown city, Fulton County, New York	3603538781	0	10	-10
Northampton town, Fulton County, New York	3603551407	27	0	27
Brooklyn borough, Kings County, New York	3604710022	170	0	170
Rochester city, Monroe County, New York	3605563000	92	0	92
Manhattan borough, New York County, New York	3606144919	0	95	-95
New Windsor town, Orange County, New York	3607150848	13	0	13
Queens borough, Queens County, New York	3608160323	0	3	-3
Dormont borough, Allegheny County, Pennsylvania	4200319576	4	0	4
Forest Hills borough, Allegheny County, Pennsylvania	4200326592	1	0	1
Pine township, Allegheny County, Pennsylvania	4200360272	0	55	-55
Pittsburgh city, Allegheny County, Pennsylvania	4200361000	10	7	3
New Brighton borough, Beaver County, Pennsylvania	4200753288	0	8	-8
Lower Makefield township, Bucks County, Pennsylvania	4201744968	0	12	-12
Forward township, Butler County, Pennsylvania	4201926904	41	0	41
Penn township, Chester County, Pennsylvania	4202958808	16	0	16
Thornbury township, Chester County, Pennsylvania	4202976568	24	0	24
Hampden township, Cumberland County, Pennsylvania	4204132296	0	27	-27
Waynesburg borough, Greene County, Pennsylvania	4205981832	10	0	10
Huntingdon borough, Huntingdon County, Pennsylvania	4206136368	18	0	18
Warriors Mark township, Huntingdon County, Pennsylvania	4206181104	0	8	-8
Perry township, Mercer County, Pennsylvania	4208559496	19	0	19
Madison city, Dane County, Wisconsin	5502548000	12	0	12
Casco village, Kewaunee County, Wisconsin	5506112850	0	3	-3
Milwaukee city, Milwaukee County, Wisconsin	5507953000	22	12	10
Wauwatosa city, Milwaukee County, Wisconsin	5507984675	0	17	-17
West Allis city, Milwaukee County, Wisconsin	5507985300	16	0	16
Whitefish Bay village, Milwaukee County, Wisconsin	5507986700	1	0	1
Kendall village, Monroe County, Wisconsin	5508139150	0	2	-2
Oakdale town, Monroe County, Wisconsin	5508158875	0	12	-12
Tomah city, Monroe County, Wisconsin	5508180075	0	69	-69
West Baraboo village, Sauk County, Wisconsin	5511185325	0	3	-3
Lenroot town, Sawyer County, Wisconsin	5511343400	0	1	-1

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 2021 1-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	523,828	100.0	331,893,745	100.0
..Male	D002	259,889	49.6	164,350,703	49.5
..Female	D003	263,939	50.4	167,543,042	50.5
..Sex ratio (males per 100 females)	D004	98.5		98.1
..Under 5 years	D005	33,450	6.4	18,661,245	5.6
..5 to 9 years	D006	33,214	6.3	20,010,813	6.0
..10 to 14 years	D007	42,824	8.2	21,821,492	6.6
..15 to 19 years	D008	36,539	7.0	21,824,088	6.6
..20 to 24 years	D009	34,569	6.6	21,382,643	6.4
..25 to 34 years	D010	73,616	14.1	45,079,138	13.6
..35 to 44 years	D011	67,044	12.8	43,733,561	13.2
..45 to 54 years	D012	57,751	11.0	40,673,717	12.3
..55 to 59 years	D013	30,533	5.8	21,141,152	6.4
..60 to 64 years	D014	33,325	6.4	21,673,882	6.5
..65 to 74 years	D015	50,493	9.6	33,778,204	10.2
..75 to 84 years	D016	22,364	4.3	16,151,137	4.9
..85 years and over	D017	8,106	1.5	5,962,673	1.8
..Median age (years)	D018	35.9		38.8
..Under 18 years	D019	132,221	25.2	73,475,278	22.1
..16 years and over	D020	407,206	77.7	267,057,693	80.5
..18 years and over	D021	391,607	74.8	258,418,467	77.9
..21 years and over	D022	370,700	70.8	245,143,605	73.9
..62 years and over	D023	102,284	19.5	68,689,093	20.7
..65 years and over	D024	80,963	15.5	55,892,014	16.8
..18 years and over	D025	391,607	100.0	258,418,467	100.0
...Male	D026	192,382	49.1	126,690,177	49.0
...Female	D027	199,225	50.9	131,728,290	51.0
...Sex ratio (males per 100 females)	D028	96.6		96.2
..65 years and over	D029	80,963	100.0	55,892,014	100.0
...Male	D030	37,075	45.8	25,191,742	45.1
...Female	D031	43,888	54.2	30,700,272	54.9
...Sex ratio (males per 100 females)	D032	84.5		82.1
RACE
.Total population	D033	523,828	100.0	331,893,745	100.0
..One race	D034	456,761	87.2	290,007,306	87.4
..Two or more races	D035	67,067	12.8	41,886,439	12.6
..One race	D036	456,761	87.2	290,007,306	87.4
...White	D037	360,482	68.8	202,981,791	61.2
...Black or African American	D038	40,129	7.7	40,194,304	12.1
...American Indian and Alaska Native	D039	3,641	0.7	3,158,694	1.0
....Cherokee tribal grouping	D040	-1	100.0	227,856	100.0
....Chippewa tribal grouping	D041	-1	100.0	89,481	100.0
....Navajo tribal grouping	D042	-1	100.0	328,370	100.0
....Sioux tribal grouping	D043	-1	100.0	106,145	100.0
...Asian	D044	22,956	4.4	19,157,288	5.8
....Asian Indian	D045	1,656	0.3	4,402,223	1.3
....Chinese	D046	1,733	0.3	4,360,466	1.3
....Filipino	D047	1,902	0.4	2,960,811	0.9
....Japanese	D048	137	0.0	742,549	0.2
....Korean	D049	354	0.1	1,445,315	0.4
....Vietnamese	D050	11,213	2.1	1,896,690	0.6
....Other Asian	D051	5,961	1.1	3,349,234	1.0
...Native Hawaiian and Other Pacific Islander	D052	332	0.1	612,448	0.2
....Native Hawaiian	D053	-1	100.0	185,391	100.0
....Guamanian or Chamorro	D054	-1	100.0	68,757	100.0
....Samoan	D055	-1	100.0	121,585	100.0
....Other Pacific Islander	D056	-1	100.0	236,715	100.0
...Some other race	D057	29,221	5.6	23,902,781	7.2
..Two or more races	D058	67,067	12.8	41,886,439	12.6
...White and Black or African American	D059	10,337	2.0	3,569,990	1.1
...White and American Indian and Alaska Native	D060	7,599	1.5	3,212,437	1.0
...White and Asian	D061	3,945	0.8	2,773,539	0.8
...Black or African American and American Indian and Alaska Native	D062	2,490	0.5	462,571	0.1
Race alone or in combination with one or more other races
.Total population	D063	523,828	100.0	331,893,745	100.0
..White	D064	422,459	80.6	241,836,150	72.9
..Black or African American	D065	57,576	11.0	47,234,227	14.2
..American Indian and Alaska Native	D066	18,400	3.5	8,750,904	2.6
..Asian	D067	28,225	5.4	23,545,238	7.1
..Native Hawaiian and Other Pacific Islander	D068	1,036	0.2	1,541,118	0.5
..Some other race	D069	68,742	13.1	53,868,002	16.2
HISPANIC OR LATINO AND RACE
.Total population	D070	523,828	100.0	331,893,745	100.0
..Hispanic or Latino (of any race)	D071	82,309	15.7	62,529,064	18.8
...Mexican	D072	69,485	13.3	37,235,886	11.2
...Puerto Rican	D073	3,602	0.7	5,798,287	1.7
...Cuban	D074	477	0.1	2,400,152	0.7
...Other Hispanic or Latino	D075	8,745	1.7	17,094,739	5.2
..Not Hispanic or Latino	D076	441,519	84.3	269,364,681	81.2
...White alone	D077	341,928	65.3	192,753,887	58.1
...Black or African American alone	D078	39,458	7.5	39,269,297	11.8
...American Indian and Alaska Native alone	D079	1,817	0.3	1,749,871	0.5
...Asian alone	D080	22,872	4.4	18,889,050	5.7
...Native Hawaiian and Other Pacific Islander alone	D081	332	0.1	558,717	0.2
...Some other race alone	D082	3,825	0.7	1,845,426	0.6
...Two or more races	D083	31,287	6.0	14,298,433	4.3
....Two races including Some other race	D084	5,831	1.1	3,342,216	1.0
....Two races excluding Some other race, and Three or more races	D085	25,456	4.9	10,956,217	3.3
.Total housing units	D086	225,434	100.0	142,148,050	100.0
CITIZEN, VOTING AGE POPULATION
.Citizen, 18 and over population	D087	371,287	100.0	239,035,960	100.0
..Male	D088	180,745	48.7	116,766,700	48.8
..Female	D089	190,542	51.3	122,269,260	51.2

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 2021 1-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	203,656	100.0	127,544,730	100.0
..Married-couple family	S002	93,895	46.1	60,360,084	47.3
...With own children of the householder under 18 years	S003	35,577	17.5	22,870,106	17.9
..Cohabiting couple household	S004	12,275	6.0	9,195,007	7.2
...With own children of the householder under 18 years	S005	6,215	3.1	2,933,896	2.3
..Male householder, no spouse/partner present	S006	41,337	20.3	23,109,048	18.1
...With own children of the householder under 18 years	S007	3,801	1.9	1,572,727	1.2
...Householder living alone	S008	28,411	14.0	16,359,032	12.8
....65 years and over	S009	7,884	3.9	4,814,086	3.8
..Female householder, no spouse/partner present	S010	56,149	27.6	34,880,591	27.3
...With own children of the householder under 18 years	S011	10,926	5.4	6,253,443	4.9
...Householder living alone	S012	33,805	16.6	19,691,382	15.4
....65 years and over	S013	15,128	7.4	9,539,491	7.5
..Households with one or more people under 18 years	S014	63,353	31.1	37,661,807	29.5
..Households with one or more people 65 years and over	S015	57,733	28.3	39,884,869	31.3
..Average household size	S016	2.54		2.54
..Average family size	S017	3.21		3.15
RELATIONSHIP
.Population in households	S018	517,753	100.0	324,132,886	100.0
..Householder	S019	203,656	39.3	127,544,730	39.3
..Spouse	S020	94,016	18.2	60,303,729	18.6
..Unmarried partner	S021	12,161	2.3	9,251,322	2.9
..Child	S022	158,632	30.6	94,303,591	29.1
..Other relatives	S023	36,551	7.1	22,586,523	7.0
..Other nonrelatives	S024	12,737	2.5	10,142,991	3.1
MARITAL STATUS
.Males 15 years and over	S025	204,014	100.0	133,358,219	100.0
..Never married	S026	73,238	35.9	49,530,132	37.1
..Now married, except separated	S027	102,700	50.3	66,215,121	49.7
..Separated	S028	2,285	1.1	1,981,789	1.5
..Widowed	S029	5,267	2.6	3,411,896	2.6
..Divorced	S030	20,524	10.1	12,219,281	9.2
.Females 15 years and over	S031	210,326	100.0	138,041,976	100.0
..Never married	S032	63,517	30.2	43,214,903	31.3
..Now married, except separated	S033	98,693	46.9	64,153,674	46.5
..Separated	S034	2,812	1.3	2,657,369	1.9
..Widowed	S035	14,748	7.0	11,416,414	8.3
..Divorced	S036	30,556	14.5	16,599,616	12.0
FERTILITY
.Number of women 15 to 50 years old who had a birth in the past 12 months	S037	7,534	100.0	3,922,188	100.0
..Unmarried women (widowed, divorced, and never married)	S038	3,189	42.3	1,242,288	31.7
...Per 1,000 unmarried women	S039	46	-1.0	28	-1.0
..Per 1,000 women 15 to 50 years old	S040	61	-1.0	51	-1.0
..Per 1,000 women 15 to 19 years old	S041	29	-1.0	8	-1.0
..Per 1,000 women 20 to 34 years old	S042	110	-1.0	84	-1.0
..Per 1,000 women 35 to 50 years old	S043	22	-1.0	32	-1.0
GRANDPARENTS
.Number of grandparents living with own grandchildren under 18 years	S044	9,858	100.0	6,658,830	100.0
..Grandparents responsible for grandchildren	S045	3,990	40.5	2,085,527	31.3
..Years responsible for grandchildren
...Less than 1 year	S046	979	9.9	315,750	4.7
...1 or 2 years	S047	1,085	11.0	402,768	6.0
...3 or 4 years	S048	62	0.6	338,613	5.1
...5 or more years	S049	1,864	18.9	1,028,396	15.4
.Number of grandparents responsible for own grandchildren under 18 years	S050	3,990	100.0	2,085,527	100.0
..Who are female	S051	2,459	61.6	1,322,096	63.4
..Who are married	S052	1,905	47.7	1,396,788	67.0
SCHOOL ENROLLMENT
.Population 3 years and over enrolled in school	S053	139,803	100.0	79,453,524	100.0
..Nursery school, preschool	S054	8,102	5.8	4,095,935	5.2
..Kindergarten	S055	7,716	5.5	4,011,805	5.0
..Elementary school (grades 1-8)	S056	61,090	43.7	32,855,519	41.4
..High school (grades 9-12)	S057	31,514	22.5	17,293,504	21.8
..College or graduate school	S058	31,381	22.4	21,196,761	26.7
EDUCATIONAL ATTAINMENT
.Population 25 years and over	S059	343,232	100.0	228,193,464	100.0
..Less than 9th grade	S060	14,068	4.1	10,860,370	4.8
..9th to 12th grade, no diploma	S061	23,385	6.8	13,412,111	5.9
..High school graduate (includes equivalency)	S062	88,769	25.9	59,996,344	26.3
..Some college, no degree	S063	82,109	23.9	44,048,941	19.3
..Associate's degree	S064	27,964	8.1	19,972,235	8.8
..Bachelor's degree	S065	67,121	19.6	48,482,060	21.2
..Graduate or professional degree	S066	39,816	11.6	31,421,403	13.8
..High school graduate or higher	S067	305,779	89.1	203,920,983	89.4
..Bachelor's degree or higher	S068	106,937	31.2	79,903,463	35.0
VETERAN STATUS
.Civilian population 18 years and over	S069	388,739	100.0	257,083,784	100.0
..Civilian veterans	S070	26,101	6.7	16,501,502	6.4
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION
.Total Civilian Noninstitutionalized Population	S071	517,015	100.0	326,912,547	100.0
..With a disability	S072	69,994	13.5	42,485,034	13.0
.Under 18 years	S073	132,017	100.0	73,357,731	100.0
..With a disability	S074	7,057	5.3	3,399,376	4.6
.18 to 64 years	S075	305,773	100.0	198,812,874	100.0
..With a disability	S076	38,677	12.6	21,246,505	10.7
.65 years and over	S077	79,225	100.0	54,741,942	100.0
..With a disability	S078	24,260	30.6	17,839,153	32.6
RESIDENCE 1 YEAR AGO
.Population 1 year and over	S079	517,395	100.0	328,464,538	100.0
..Same house	S080	430,925	83.3	286,552,923	87.2
..Different house in the U.S. or abroad	S081	86,470	16.7	41,911,615	12.8
..Different house in the U.S.	S082	85,472	16.5	40,436,958	12.3
...Same county	S083	59,139	11.4	21,878,668	6.7
...Different county	S084	26,333	5.1	18,558,290	5.7
....Same state	S085	11,462	2.2	10,698,453	3.3
....Different state	S086	14,871	2.9	7,859,837	2.4
..Abroad	S087	998	0.2	1,474,657	0.4
PLACE OF BIRTH
.Total population	S088	523,828	100.0	331,893,745	100.0
..Native	S089	482,747	92.2	286,623,642	86.4
...Born in United States	S090	476,597	91.0	281,070,671	84.7
....State of residence	S091	333,868	63.7	191,929,224	57.8
....Different state	S092	142,729	27.2	89,141,447	26.9
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s)	S093	6,150	1.2	5,552,971	1.7
..Foreign born	S094	41,081	7.8	45,270,103	13.6
U.S. CITIZENSHIP STATUS
.Foreign-born population	S095	41,081	100.0	45,270,103	100.0
..Naturalized U.S. citizen	S096	19,679	47.9	24,044,083	53.1
..Not a U.S. citizen	S097	21,402	52.1	21,226,020	46.9
YEAR OF ENTRY
.Population born outside the United States	S098	47,231	100.0	50,823,074	100.0
..Native	S099	6,150	100.0	5,552,971	100.0
...Entered 2010 or later	S100	1,910	31.1	1,697,342	30.6
...Entered before 2010	S101	4,240	68.9	3,855,629	69.4
..Foreign born	S102	41,081	100.0	45,270,103	100.0
...Entered 2010 or later	S103	11,612	28.3	12,717,163	28.1
...Entered before 2010	S104	29,469	71.7	32,552,940	71.9
WORLD REGION OF BIRTH OF FOREIGN BORN
.Foreign-born population, excluding population born at sea	S105	-1		45,269,644
..Europe	S106	-1		4,865,317
..Asia	S107	-1		14,034,338
..Africa	S108	-1		2,597,894
..Oceania	S109	-1		292,766
..Latin America	S110	-1		22,691,727
..Northern America	S111	-1		787,602
LANGUAGE SPOKEN AT HOME
.Population 5 years and over	S112	490,378	100.0	313,232,500	100.0
..English only	S113	421,049	85.9	245,478,064	78.4
..Language other than English	S114	69,329	14.1	67,754,436	21.6
...Speak English less than very well	S115	29,448	6.0	25,921,267	8.3
..Spanish	S116	46,937	9.6	41,254,941	13.2
...Speak English less than very well	S117	17,969	3.7	16,299,869	5.2
..Other Indo-European languages	S118	3,912	0.8	11,802,904	3.8
...Speak English less than very well	S119	1,666	0.3	3,639,669	1.2
..Asian and Pacific Islander languages	S120	14,812	3.0	10,915,574	3.5
...Speak English less than very well	S121	8,772	1.8	4,884,562	1.6
..Other languages	S122	3,668	0.7	3,781,017	1.2
...Speak English less than very well	S123	1,041	0.2	1,097,167	0.4
ANCESTRY
.Total population	S124	523,828	100.0	331,893,745	100.0
..American	S125	31,819	6.1	17,625,957	5.3
..Arab	S126	4,011	0.8	2,222,769	0.7
..Czech	S127	2,315	0.4	1,252,833	0.4
..Danish	S128	1,667	0.3	1,122,719	0.3
..Dutch	S129	3,641	0.7	3,083,041	0.9
..English	S130	66,316	12.7	31,825,171	9.6
..French (except Basque)	S131	8,364	1.6	6,448,506	1.9
..French Canadian	S132	1,038	0.2	1,602,027	0.5
..German	S133	108,733	20.8	42,220,180	12.7
..Greek	S134	812	0.2	1,184,289	0.4
..Hungarian	S135	650	0.1	1,221,273	0.4
..Irish	S136	50,616	9.7	31,495,897	9.5
..Italian	S137	8,806	1.7	15,947,138	4.8
..Lithuanian	S138	96	0.0	573,618	0.2
..Norwegian	S139	3,204	0.6	3,885,380	1.2
..Polish	S140	4,958	0.9	8,237,026	2.5
..Portuguese	S141	405	0.1	1,306,039	0.4
..Russian	S142	2,654	0.5	2,407,434	0.7
..Scotch-Irish	S143	5,557	1.1	2,495,113	0.8
..Scottish	S144	10,069	1.9	5,244,788	1.6
..Slovak	S145	250	0.0	594,844	0.2
..Subsaharan African	S146	3,653	0.7	3,967,734	1.2
..Swedish	S147	5,001	1.0	3,318,578	1.0
..Swiss	S148	923	0.2	839,159	0.3
..Ukrainian	S149	510	0.1	980,819	0.3
..Welsh	S150	3,548	0.7	1,553,417	0.5
..West Indian (excluding Hispanic origin groups)	S151	1,207	0.2	3,064,655	0.9
COMPUTERS AND INTERNET USE
.Total households	S152	203,656	100.0	127,544,730	100.0
..With a computer	S153	196,990	96.7	121,224,032	95.0
..With a broadband Internet subscription	S154	185,509	91.1	114,964,205	90.1

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 2021 1-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	407,206	100.0	267,057,693	100.0
..In labor force	E002	269,304	66.1	168,236,937	63.0
...Civilian labor force	E003	266,436	65.4	166,900,336	62.5
....Employed	E004	248,365	61.0	156,380,433	58.6
....Unemployed	E005	18,071	4.4	10,519,903	3.9
...Armed Forces	E006	2,868	0.7	1,336,601	0.5
..Not in labor force	E007	137,902	33.9	98,820,756	37.0
.Civilian labor force	E008	266,436	100.0	166,900,336	100.0
..Unemployment Rate	E009	6.80		6.30
.Females 16 years and over	E010	207,019	100.0	135,931,305	100.0
..In labor force	E011	127,879	61.8	79,347,771	58.4
...Civilian labor force	E012	127,393	61.5	79,128,144	58.2
....Employed	E013	119,919	57.9	74,173,887	54.6
.Own children of the householder under 6 years	E014	37,455	100.0	21,632,850	100.0
..All parents in family in labor force	E015	26,435	70.6	14,432,156	66.7
.Own children of the householder 6 to 17 years	E016	87,792	100.0	48,027,938	100.0
..All parents in family in labor force	E017	65,049	74.1	34,209,802	71.2
COMMUTING TO WORK
.Workers 16 years and over	E018	247,859	100.0	154,314,179	100.0
..Car, truck, or van -- drove alone	E019	195,055	78.7	104,650,121	67.8
..Car, truck, or van -- carpooled	E020	21,196	8.6	12,018,354	7.8
..Public transportation (excluding taxicab)	E021	1,149	0.5	3,793,329	2.5
..Walked	E022	2,764	1.1	3,399,405	2.2
..Other means	E023	4,757	1.9	2,884,872	1.9
..Worked from home	E024	22,938	9.3	27,568,098	17.9
..Mean travel time to work (minutes)	E025	19.30		25.60
OCCUPATION
.Civilian employed population 16 years and over	E026	248,365	100.0	156,380,433	100.0
..Management, business, science, and arts occupations	E027	94,620	38.1	66,001,412	42.2
..Service occupations	E028	40,604	16.3	25,151,071	16.1
..Sales and office occupations	E029	54,286	21.9	31,329,510	20.0
..Natural resources, construction, and maintenance occupations	E030	24,156	9.7	13,368,928	8.5
..Production, transportation, and material moving occupations	E031	34,699	14.0	20,529,512	13.1
INDUSTRY
.Civilian employed population 16 years and over	E032	248,365	100.0	156,380,433	100.0
..Agriculture, forestry, fishing and hunting, and mining	E033	1,603	0.6	2,445,458	1.6
..Construction	E034	16,522	6.7	10,773,757	6.9
..Manufacturing	E035	40,029	16.1	15,738,828	10.1
..Wholesale trade	E036	6,293	2.5	3,616,410	2.3
..Retail trade	E037	28,483	11.5	17,307,114	11.1
..Transportation and warehousing, and utilities	E038	13,035	5.2	9,237,812	5.9
..Information	E039	3,189	1.3	2,908,107	1.9
..Finance and insurance, and real estate and rental and leasing	E040	12,224	4.9	10,659,331	6.8
..Professional, scientific, and management, and administrative and waste management services	E041	24,379	9.8	19,360,141	12.4
..Educational services, and health care and social assistance	E042	57,173	23.0	36,749,102	23.5
..Arts, entertainment, and recreation, and accommodation and food services	E043	23,486	9.5	12,892,907	8.2
..Other services, except public administration	E044	11,534	4.6	7,170,404	4.6
..Public administration	E045	10,415	4.2	7,521,062	4.8
CLASS OF WORKER
.Civilian employed population 16 years and over	E046	248,365	100.0	156,380,433	100.0
..Private wage and salary workers	E047	202,101	81.4	123,744,069	79.1
..Government workers	E048	34,248	13.8	22,860,100	14.6
..Self-employed in own not incorporated business workers	E049	11,760	4.7	9,481,077	6.1
..Unpaid family workers	E050	256	0.1	295,187	0.2
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS)
.Total households	E051	203,656	100.0	127,544,730	100.0
..Less than $10,000	E052	11,336	5.6	7,689,277	6.0
..$10,000 to $14,999	E053	9,012	4.4	4,919,505	3.9
..$15,000 to $24,999	E054	16,166	7.9	9,567,549	7.5
..$25,000 to $34,999	E055	20,013	9.8	9,969,826	7.8
..$35,000 to $49,999	E056	26,846	13.2	14,364,338	11.3
..$50,000 to $74,999	E057	42,080	20.7	21,443,341	16.8
..$75,000 to $99,999	E058	27,107	13.3	16,276,811	12.8
..$100,000 to $149,999	E059	29,937	14.7	20,741,047	16.3
..$150,000 to $199,999	E060	11,732	5.8	10,096,604	7.9
..$200,000 or more	E061	9,427	4.6	12,476,432	9.8
..Median household income (dollars)	E062	60,364		69,717
..Mean household income (dollars)	E063	80,107		97,962
..With earnings	E064	160,310	78.7	98,177,629	77.0
...Mean earnings (dollars)	E065	78,205		99,688
..With Social Security	E066	59,112	29.0	39,741,545	31.2
...Mean Social Security income (dollars)	E067	22,480		21,152
..With retirement income	E068	49,889	24.5	30,669,175	24.0
...Mean retirement income (dollars)	E069	24,682		29,628
..With Supplemental Security Income	E070	8,805	4.3	6,588,644	5.2
...Mean Supplemental Security Income (dollars)	E071	9,771		10,230
..With cash public assistance income	E072	6,697	3.3	4,282,321	3.4
...Mean cash public assistance income (dollars)	E073	5,029		5,240
..With Food Stamp/SNAP benefits in the past 12 months	E074	21,682	10.6	15,838,862	12.4
.Families	E075	130,907	100.0	82,464,986	100.0
..Less than $10,000	E076	3,270	2.5	3,056,415	3.7
..$10,000 to $14,999	E077	2,626	2.0	1,667,928	2.0
..$15,000 to $24,999	E078	6,528	5.0	4,086,661	5.0
..$25,000 to $34,999	E079	8,822	6.7	5,117,957	6.2
..$35,000 to $49,999	E080	15,699	12.0	8,245,080	10.0
..$50,000 to $74,999	E081	29,138	22.3	13,648,681	16.6
..$75,000 to $99,999	E082	21,469	16.4	11,644,350	14.1
..$100,000 to $149,999	E083	24,248	18.5	16,152,982	19.6
..$150,000 to $199,999	E084	10,509	8.0	8,285,960	10.0
..$200,000 or more	E085	8,598	6.6	10,558,972	12.8
..Median family income (dollars)	E086	74,480		85,806
..Mean family income (dollars)	E087	97,024		115,522
.Per capita income (dollars)	E088	31,877		38,332
.Nonfamily households	E089	72,749	100.0	45,079,744	100.0
..Median nonfamily income (dollars)	E090	33,847		41,549
..Mean nonfamily income (dollars)	E091	45,795		61,091
.Median earnings for workers (dollars)	E092	35,536		40,260
.Median earnings for male full-time, year-round workers (dollars)	E093	53,701		60,428
.Median earnings for female full-time, year-round workers (dollars)	E094	40,423		49,263
HEALTH INSURANCE COVERAGE
.Civilian noninstitutionalized population	E095	517,015	100.0	326,912,547	100.0
..With health insurance coverage	E096	459,370	88.9	298,685,665	91.4
...With private health insurance	E097	351,525	68.0	219,074,507	67.0
...With public coverage	E098	170,376	33.0	120,198,470	36.8
..No health insurance coverage	E099	57,645	11.1	28,226,882	8.6
.Civilian noninstitutionalized population under 19 years	E100	138,661	100.0	77,830,503	100.0
..No health insurance coverage	E101	8,242	5.9	4,164,688	5.4
.Civilian noninstitutionalized population 19 to 64 years	E102	299,129	100.0	194,340,102	100.0
..In labor force:	E103	241,511	100.0	152,120,273	100.0
...Employed:	E104	226,592	100.0	142,779,946	100.0
....With health insurance coverage	E105	195,238	86.2	127,829,928	89.5
.....With private health insurance	E106	185,694	82.0	116,136,040	81.3
.....With public coverage	E107	16,685	7.4	16,087,515	11.3
....No health insurance coverage	E108	31,354	13.8	14,950,018	10.5
...Unemployed:	E109	14,919	100.0	9,340,327	100.0
....With health insurance coverage	E110	8,708	58.4	7,048,775	75.5
.....With private health insurance	E111	6,765	45.3	3,867,469	41.4
.....With public coverage	E112	2,359	15.8	3,523,835	37.7
....No health insurance coverage	E113	6,211	41.6	2,291,552	24.5
..Not in labor force:	E114	57,618	100.0	42,219,829	100.0
...With health insurance coverage	E115	46,090	80.0	35,844,186	84.9
....With private health insurance	E116	32,283	56.0	21,241,038	50.3
....With public coverage	E117	18,217	31.6	17,509,893	41.5
...No health insurance coverage	E118	11,528	20.0	6,375,643	15.1
PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL
.All families	E119	8.8		9.1
..With related children of the householder under 18 years	E120	15.2		14.1
...With related children of the householder under 5 years only	E121	24.7		13.0
..Married couple families	E122	4.6		4.7
...With related children of the householder under 18 years	E123	7.4		6.2
....With related children of the householder under 5 years only	E124	5.8		4.8
..Families with female householder, no spouse present	E125	24.1		24.4
...With related children of the householder under 18 years	E126	32.7		33.7
....With related children of the householder under 5 years only	E127	67.1		37.9
.All people	E128	13.0		12.8
..Under 18 years	E129	17.8		16.9
...Related children of the householder under 18 years	E130	17.4		16.6
....Related children of the householder under 5 years	E131	24.3		18.3
....Related children of the householder 5 to 17 years	E132	15.1		16.1
..18 years and over	E133	11.4		11.6
...18 to 64 years	E134	12.1		11.9
...65 years and over	E135	8.8		10.3
..People in families	E136	10.4		10.0
..Unrelated individuals 15 years and over	E137	24.7		24.0

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	946	1,007	1,304	1,012	1,146	1,246	1,382
Single Family, Units	946	1,007	1,304	1,012	1,146	1,246	1,382
Single Family, Value	236,193	246,524	242,666	212,385	235,937	337,957	536,694
2 Unit, Buildings	175	140	142	214	206	153	341
2 Unit, Units	350	280	284	428	412	306	682
2 Unit, Value	29,359	24,286	24,375	35,917	34,762	29,938	71,323
3-4 Unit, Buildings	10	9	21	14	11	24	18
3-4 Unit, Units	37	28	74	53	37	85	60
3-4 Unit, Value	5,234	1,982	7,710	11,881	4,795	9,956	7,948
5+ Unit, Buildings	34	36	50	12	19	0	0
5+ Unit, Units	452	542	671	217	211	0	0
5+ Unit, Value	31,797	38,342	35,463	14,124	18,506	0	0

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 2021 1-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	225,434	100.0	142,148,050	100.0
..Occupied housing units	H002	203,656	90.3	127,544,730	89.7
..Vacant housing units	H003	21,778	9.7	14,603,320	10.3
..Homeowner vacancy rate	H004	1.40		0.90
..Rental vacancy rate	H005	8.20		5.20
UNITS IN STRUCTURE
.Total housing units	H006	225,434	100.0	142,148,050	100.0
..1-unit, detached	H007	154,441	68.5	87,804,068	61.8
..1-unit, attached	H008	12,948	5.7	8,823,839	6.2
..2 units	H009	8,538	3.8	4,698,934	3.3
..3 or 4 units	H010	8,736	3.9	6,069,239	4.3
..5 to 9 units	H011	7,825	3.5	6,379,448	4.5
..10 to 19 units	H012	11,386	5.1	5,996,065	4.2
..20 or more units	H013	16,079	7.1	14,201,780	10.0
..Mobile home	H014	5,249	2.3	8,008,783	5.6
..Boat, RV, van, etc.	H015	232	0.1	165,894	0.1
YEAR STRUCTURE BUILT
.Total housing units	H016	225,434	100.0	142,148,050	100.0
..Built 2014 or later	H017	882	0.4	1,073,629	0.8
..Built 2010 to 2013	H018	18,760	8.3	13,632,007	9.6
..Built 2000 to 2009	H019	28,585	12.7	19,697,259	13.9
..Built 1990 to 1999	H020	24,991	11.1	17,452,834	12.3
..Built 1980 to 1989	H021	29,773	13.2	18,532,262	13.0
..Built 1970 to 1979	H022	31,360	13.9	20,442,202	14.4
..Built 1960 to 1969	H023	17,176	7.6	14,202,613	10.0
..Built 1950 to 1959	H024	37,049	16.4	13,738,856	9.7
..Built 1940 to 1949	H025	17,749	7.9	6,474,803	4.6
..Built 1939 or earlier	H026	19,109	8.5	16,901,585	11.9
ROOMS
.Total housing units	H027	225,434	100.0	142,148,050	100.0
..1 room	H028	4,991	2.2	3,589,031	2.5
..2 rooms	H029	5,401	2.4	4,350,654	3.1
..3 rooms	H030	19,910	8.8	12,820,515	9.0
..4 rooms	H031	29,990	13.3	22,251,103	15.7
..5 rooms	H032	34,997	15.5	26,439,561	18.6
..6 rooms	H033	37,049	16.4	24,927,199	17.5
..7 rooms	H034	28,556	12.7	17,046,581	12.0
..8 rooms	H035	25,197	11.2	12,894,229	9.1
..9 rooms or more	H036	39,343	17.5	17,829,177	12.5
..Median rooms	H037	6.0		5.6
BEDROOMS
.Total housing units	H038	225,434	100.0	142,148,050	100.0
..No bedroom	H039	5,529	2.5	3,959,211	2.8
..1 bedroom	H040	24,750	11.0	15,384,897	10.8
..2 bedrooms	H041	59,318	26.3	35,600,388	25.0
..3 bedrooms	H042	78,492	34.8	55,386,244	39.0
..4 bedrooms	H043	36,661	16.3	24,894,730	17.5
..5 or more bedrooms	H044	20,684	9.2	6,922,580	4.9
HOUSING TENURE
.Occupied housing units	H045	203,656	100.0	127,544,730	100.0
..Owner-occupied	H046	128,309	63.0	83,396,988	65.4
..Renter-occupied	H047	75,347	37.0	44,147,742	34.6
..Average household size of owner-occupied unit	H048	2.72		2.65
..Average household size of renter-occupied unit	H049	2.24		2.33
YEAR HOUSEHOLDER MOVED INTO UNIT
.Occupied housing units	H050	203,656	100.0	127,544,730	100.0
..Moved in 2017 or later	H051	64,274	31.6	34,784,732	27.3
..Moved in 2015 to 2016	H052	45,004	22.1	28,234,034	22.1
..Moved in 2010 to 2014	H053	25,546	12.5	16,462,478	12.9
..Moved in 2000 to 2009	H054	34,641	17.0	22,180,943	17.4
..Moved in 1990 to 1999	H055	18,910	9.3	12,938,673	10.1
..Moved in 1989 and earlier	H056	15,281	7.5	12,943,870	10.1
VEHICLES AVAILABLE
.Occupied housing units	H057	203,656	100.0	127,544,730	100.0
..No vehicles available	H058	11,045	5.4	10,263,494	8.0
..1 vehicle available	H059	65,307	32.1	41,959,133	32.9
..2 vehicles available	H060	76,836	37.7	47,337,486	37.1
..3 or more vehicles available	H061	50,468	24.8	27,984,617	21.9
HOUSE HEATING FUEL
.Occupied housing units	H062	203,656	100.0	127,544,730	100.0
..Utility gas	H063	133,111	65.4	59,246,257	46.5
..Bottled, tank, or LP gas	H064	7,305	3.6	6,326,791	5.0
..Electricity	H065	60,436	29.7	52,279,174	41.0
..Fuel oil, kerosene, etc.	H066	706	0.3	5,218,757	4.1
..Coal or coke	H067	0	100.0	95,160	100.0
..Wood	H068	571	0.3	1,792,240	1.4
..Solar energy	H069	0	100.0	362,346	100.0
..Other fuel	H070	957	0.5	640,525	0.5
..No fuel used	H071	570	0.3	1,583,480	1.2
SELECTED CHARACTERISTICS
.Occupied housing units	H072	203,656	100.0	127,544,730	100.0
..Lacking complete plumbing facilities	H073	503	0.2	522,752	0.4
..Lacking complete kitchen facilities	H074	1,224	0.6	1,027,179	0.8
..No telephone service available	H075	2,003	1.0	1,152,803	0.9
OCCUPANTS PER ROOM
.Occupied housing units	H076	203,656	100.0	127,544,730	100.0
..1.00 or less	H077	198,247	97.3	123,222,676	96.6
..1.01 to 1.50	H078	2,842	1.4	2,811,853	2.2
..1.51 or more	H079	2,567	1.3	1,510,201	1.2
VALUE
.Owner-occupied units	H080	128,309	100.0	83,396,988	100.0
..Less than $50,000	H081	8,757	6.8	5,012,399	6.0
..$50,000 to $99,999	H082	21,235	16.5	6,591,730	7.9
..$100,000 to $149,999	H083	23,704	18.5	7,393,172	8.9
..$150,000 to $199,999	H084	23,746	18.5	9,312,599	11.2
..$200,000 to $299,999	H085	28,831	22.5	16,283,130	19.5
..$300,000 to $499,999	H086	16,445	12.8	20,456,170	24.5
..$500,000 to $999,999	H087	5,009	3.9	14,149,578	17.0
..$1,000,000 or more	H088	582	0.5	4,198,210	5.0
..Median (dollars)	H089	171,100		281,400
MORTGAGE STATUS
.Owner-occupied units	H090	128,309	100.0	83,396,988	100.0
..Housing units with a mortgage	H091	80,778	63.0	51,114,260	61.3
..Housing units without a mortgage	H092	47,531	37.0	32,282,728	38.7
SELECTED MONTHLY OWNER COSTS (SMOC)
.Housing units with a mortgage	H093	80,778	100.0	51,114,260	100.0
..Less than $500	H094	779	1.0	610,377	1.2
..$500 to $999	H095	20,674	25.6	7,554,733	14.8
..$1,000 to $1,499	H096	28,550	35.3	13,171,613	25.8
..$1,500 to $1,999	H097	16,767	20.8	11,146,103	21.8
..$2,000 to $2,499	H098	7,594	9.4	7,205,428	14.1
..$2,500 to $2,999	H099	2,877	3.6	4,377,761	8.6
..$3,000 or more	H100	3,537	4.4	7,048,245	13.8
..Median (dollars)	H101	1,323		1,672
.Housing units without a mortgage	H102	47,531	100.0	32,282,728	100.0
..Less than $250	H103	2,962	6.2	3,275,543	10.1
..$250 to $399	H104	11,668	24.5	6,595,521	20.4
..$400 to $599	H105	16,534	34.8	8,756,466	27.1
..$600 to $799	H106	11,098	23.3	5,686,328	17.6
..$800 to $999	H107	3,106	6.5	3,229,527	10.0
..$1,000 or more	H108	2,163	4.6	4,739,343	14.7
..Median (dollars)	H109	512		539
SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI)
.Housing units with a mortgage (excluding units where SMOCAPI cannot be computed)	H110	80,336	100.0	50,836,661	100.0
..Less than 20.0 percent	H111	40,669	50.6	24,183,280	47.6
..20.0 to 24.9 percent	H112	11,671	14.5	7,621,860	15.0
..25.0 to 29.9 percent	H113	9,811	12.2	5,016,096	9.9
..30.0 to 34.9 percent	H114	5,239	6.5	3,332,250	6.6
..35.0 percent or more	H115	12,946	16.1	10,683,175	21.0
..Not computed	H116	442	-1.0	277,599	-1.0
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed)	H117	47,001	100.0	31,799,186	100.0
..Less than 10.0 percent	H118	23,776	50.6	14,658,010	46.1
..10.0 to 14.9 percent	H119	9,801	20.9	6,068,100	19.1
..15.0 to 19.9 percent	H120	5,002	10.6	3,345,349	10.5
..20.0 to 24.9 percent	H121	3,013	6.4	2,022,803	6.4
..25.0 to 29.9 percent	H122	1,668	3.5	1,293,336	4.1
..30.0 to 34.9 percent	H123	1,159	2.5	882,995	2.8
..35.0 percent or more	H124	2,582	5.5	3,528,593	11.1
..Not computed	H125	530	-1.0	483,542	-1.0
GROSS RENT
.Occupied units paying rent	H126	72,461	100.0	41,991,861	100.0
..Less than $500	H127	5,470	7.5	3,320,529	7.9
..$500 to $999	H128	42,271	58.3	12,202,521	29.1
..$1,000 to $1,499	H129	20,423	28.2	12,853,108	30.6
..$1,500 to $1,999	H130	3,929	5.4	7,483,407	17.8
..$2,000 to $2,499	H131	227	0.3	3,236,958	7.7
..$2,500 to $2,999	H132	0	100.0	1,310,696	100.0
..$3,000 or more	H133	141	0.2	1,584,642	3.8
..Median (dollars)	H134	868		1,191
..No rent paid	H135	2,886	-1.0	2,155,881	-1.0
GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI)
.Occupied units paying rent (excluding units where GRAPI cannot be computed)	H136	71,201	100.0	40,979,329	100.0
..Less than 15.0 percent	H137	9,694	13.6	5,229,582	12.8
..15.0 to 19.9 percent	H138	11,095	15.6	5,001,591	12.2
..20.0 to 24.9 percent	H139	11,185	15.7	5,122,898	12.5
..25.0 to 29.9 percent	H140	8,163	11.5	4,703,786	11.5
..30.0 to 34.9 percent	H141	5,289	7.4	3,737,862	9.1
..35.0 percent or more	H142	25,775	36.2	17,183,610	41.9
..Not computed	H143	4,146	-1.0	3,168,413	-1.0

3.1 Industry by Sector Characteristics .. goto topics

Establishments, Employment, Wages QCEW -- 2022Q2
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:\dede2\1\qcewarea.dbf.

      Industry by Sector Characteristics

Industry	NAICS	Owner	Estabs	Estabs%	Emp	Emp%	Wages	Wages%	AWW
Total, all owners	10	0	13,627	100.0	253,911	100.0	3,406,495,873	100.0	1,032
Total, Federal	10	1	74	0.5	4,738	1.9	97,818,735	2.9	1,588
Total, State	10	2	34	0.2	4,613	1.8	67,332,627	2.0	1,123
Total, Local	10	3	87	0.6	21,961	8.6	318,550,626	9.4	1,116
Total, Private	10	5	13,432	98.6	222,599	87.7	2,922,793,885	85.8	1,010
Agriculture, forestry, fishing and hunting	11	5	27	0.2	109	0.0	1,703,597	0.1	1,199
Crop production	111	5	12	0.1	66	0.0	664,870	0.0	775
Animal production	112	5	9	0.1	14	0.0	935,209	0.0	5,264
Agriculture and forestry support activities	115	5	6	0.0	30	0.0	103,518	0.0	268
Mining	21	5	94	0.7	476	0.2	9,182,638	0.3	1,483
Oil and gas extraction	211	5	59	0.4	232	0.1	4,841,521	0.1	1,605
Mining, except oil and gas	212	5	3	0.0	14	0.0	218,665	0.0	1,201
Support activities for mining	213	5	32	0.2	230	0.1	4,122,452	0.1	1,377
Utilities	22	2	1	0.0	2	0.0	11,712	0.0	450
Utilities	22	3	3	0.0	62	0.0	611,668	0.0	763
Utilities	22	5	18	0.1	499	0.2	11,019,299	0.3	1,698
Utilities	221	2	1	0.0	2	0.0	11,712	0.0	450
Utilities	221	3	3	0.0	62	0.0	611,668	0.0	763
Utilities	221	5	18	0.1	499	0.2	11,019,299	0.3	1,698
Construction	23	3	25	0.2	72	0.0	368,144	0.0	392
Construction	23	5	1,223	9.0	14,142	5.6	199,883,938	5.9	1,087
Construction of buildings	236	5	311	2.3	2,943	1.2	42,446,981	1.2	1,109
Heavy and civil engineering construction	237	3	25	0.2	72	0.0	368,144	0.0	392
Heavy and civil engineering construction	237	5	66	0.5	2,067	0.8	32,491,130	1.0	1,209
Specialty trade contractors	238	5	846	6.2	9,132	3.6	124,945,827	3.7	1,052
Manufacturing	31-33	5	575	4.2	43,100	17.0	763,318,832	22.4	1,362
Food manufacturing	311	5	33	0.2	2,123	0.8	31,658,332	0.9	1,147
Beverage and tobacco product manufacturing	312	5	8	0.1	211	0.1	2,089,206	0.1	760
Textile mills	313	5	2	0.0	0	0.0	0	0.0	0
Textile product mills	314	5	10	0.1	240	0.1	2,213,289	0.1	709
Apparel manufacturing	315	5	4	0.0	120	0.0	1,212,603	0.0	779
Leather and allied product manufacturing	316	5	1	0.0	0	0.0	0	0.0	0
Wood product manufacturing	321	5	13	0.1	331	0.1	3,827,890	0.1	889
Paper manufacturing	322	5	2	0.0	0	0.0	0	0.0	0
Printing and related support activities	323	5	46	0.3	855	0.3	9,098,286	0.3	818
Petroleum and coal products manufacturing	324	5	7	0.1	642	0.3	9,985,455	0.3	1,196
Chemical manufacturing	325	5	21	0.2	1,119	0.4	17,533,369	0.5	1,206
Plastics and rubber products manufacturing	326	5	25	0.2	1,212	0.5	14,749,852	0.4	936
Nonmetallic mineral product manufacturing	327	5	19	0.1	475	0.2	6,463,762	0.2	1,047
Primary metal manufacturing	331	5	4	0.0	0	0.0	0	0.0	0
Fabricated metal product manufacturing	332	5	115	0.8	3,397	1.3	46,306,690	1.4	1,048
Machinery manufacturing	333	5	49	0.4	4,386	1.7	68,672,854	2.0	1,204
Computer and electronic product manufacturing	334	5	34	0.2	1,179	0.5	20,272,589	0.6	1,323
Electrical equipment and appliance manufacturing	335	5	8	0.1	512	0.2	8,214,214	0.2	1,233
Transportation equipment manufacturing	336	5	108	0.8	24,704	9.7	499,384,452	14.7	1,555
Furniture and related product manufacturing	337	5	13	0.1	293	0.1	2,954,131	0.1	776
Miscellaneous manufacturing	339	5	53	0.4	936	0.4	12,452,556	0.4	1,023
Wholesale trade	42	5	947	6.9	8,511	3.4	154,385,757	4.5	1,395
Merchant wholesalers, durable goods	423	5	588	4.3	5,676	2.2	103,097,785	3.0	1,397
Merchant wholesalers, nondurable goods	424	5	211	1.5	2,335	0.9	40,227,951	1.2	1,325
Electronic markets and agents and brokers	425	5	148	1.1	500	0.2	11,060,021	0.3	1,702
Retail trade	44-45	1	2	0.0	34	0.0	426,832	0.0	966
Retail trade	44-45	5	1,471	10.8	26,730	10.5	227,736,290	6.7	655
Motor vehicle and parts dealers	441	5	207	1.5	3,589	1.4	55,260,574	1.6	1,184
Building material and garden supply stores	444	5	122	0.9	2,992	1.2	26,570,674	0.8	683
Food and beverage stores	445	1	1	0.0	30	0.0	397,299	0.0	1,008
Food and beverage stores	445	5	197	1.4	4,784	1.9	29,872,437	0.9	480
Food and beverage stores	449	1	1	0.0	4	0.0	29,533	0.0	620
Food and beverage stores	449	5	148	1.1	1,658	0.7	17,914,211	0.5	831
Food and beverage stores	455	5	128	0.9	5,652	2.2	37,021,972	1.1	504
Food and beverage stores	456	5	155	1.1	1,615	0.6	14,634,852	0.4	697
Food and beverage stores	457	5	110	0.8	1,727	0.7	13,883,720	0.4	619
Food and beverage stores	458	5	152	1.1	1,583	0.6	9,877,230	0.3	480
Food and beverage stores	459	5	252	1.8	3,129	1.2	22,700,620	0.7	558
Transportation and warehousing	48-49	1	23	0.2	1,445	0.6	23,389,936	0.7	1,245
Transportation and warehousing	48-49	3	1	0.0	167	0.1	2,322,880	0.1	1,072
Transportation and warehousing	48-49	5	391	2.9	9,203	3.6	115,709,997	3.4	967
Air transportation	481	5	16	0.1	164	0.1	2,461,417	0.1	1,152
Truck transportation	484	5	194	1.4	2,223	0.9	34,368,227	1.0	1,189
Transit and ground passenger transportation	485	5	20	0.1	752	0.3	5,978,362	0.2	612
Pipeline transportation	486	5	5	0.0	0	0.0	0	0.0	0
Scenic and sightseeing transportation	487	5	1	0.0	0	0.0	0	0.0	0
Support activities for transportation	488	3	1	0.0	167	0.1	2,322,880	0.1	1,072
Support activities for transportation	488	5	87	0.6	1,891	0.7	32,927,574	1.0	1,339
Postal service	491	1	23	0.2	1,445	0.6	23,389,936	0.7	1,245
Couriers and messengers	492	5	39	0.3	1,635	0.6	16,873,284	0.5	794
Warehousing and storage	493	5	29	0.2	2,471	1.0	21,631,373	0.6	673
Information	51	1	1	0.0	5	0.0	44,562	0.0	643
Information	51	3	7	0.1	45	0.0	252,736	0.0	432
Information	51	5	269	2.0	3,549	1.4	55,069,458	1.6	1,194
Motion picture and sound recording industries	512	5	29	0.2	338	0.1	1,448,173	0.0	329
Motion picture and sound recording industries	513	5	108	0.8	777	0.3	14,419,954	0.4	1,428
Internet publishing and broadcasting	516	5	25	0.2	505	0.2	7,433,079	0.2	1,132
Telecommunications	517	5	37	0.3	1,746	0.7	28,221,205	0.8	1,243
ISPs, search portals, and data processing	518	5	65	0.5	174	0.1	3,440,299	0.1	1,524
Other information services	519	1	1	0.0	5	0.0	44,562	0.0	643
Other information services	519	3	7	0.1	45	0.0	252,736	0.0	432
Other information services	519	5	5	0.0	8	0.0	106,748	0.0	985
Finance and insurance	52	1	2	0.0	23	0.0	698,065	0.0	2,369
Finance and insurance	52	5	850	6.2	6,934	2.7	118,587,882	3.5	1,316
Monetary authorities - central bank	521	5	1	0.0	0	0.0	0	0.0	0
Credit intermediation and related activities	522	1	1	0.0	1	0.0	19,113	0.0	1,470
Credit intermediation and related activities	522	5	298	2.2	3,755	1.5	63,583,515	1.9	1,303
Securities, commodity contracts, investments	523	5	157	1.2	667	0.3	18,410,543	0.5	2,123
Insurance carriers and related activities	524	1	1	0.0	22	0.0	678,952	0.0	2,410
Insurance carriers and related activities	524	5	382	2.8	2,505	1.0	36,442,091	1.1	1,119
Funds, trusts, and other financial vehicles	525	5	12	0.1	0	0.0	0	0.0	0
Real estate and rental and leasing	53	3	0	0.0	0	0.0	0	0.0	0
Real estate and rental and leasing	53	5	541	4.0	3,595	1.4	42,467,665	1.2	909
Real estate	531	3	0	0.0	0	0.0	0	0.0	0
Real estate	531	5	463	3.4	2,601	1.0	30,222,944	0.9	894
Rental and leasing services	532	5	75	0.6	988	0.4	12,161,806	0.4	947
Lessors of nonfinancial intangible assets	533	5	3	0.0	6	0.0	82,915	0.0	1,063
Professional and technical services	54	1	2	0.0	24	0.0	674,657	0.0	2,162
Professional and technical services	54	2	2	0.0	55	0.0	819,389	0.0	1,139
Professional and technical services	54	5	1,796	13.2	11,717	4.6	215,100,931	6.3	1,412
Professional and technical services	541	1	2	0.0	24	0.0	674,657	0.0	2,162
Professional and technical services	541	2	2	0.0	55	0.0	819,389	0.0	1,139
Professional and technical services	541	5	1,796	13.2	11,717	4.6	215,100,931	6.3	1,412
Management of companies and enterprises	55	5	121	0.9	4,446	1.8	124,872,955	3.7	2,161
Management of companies and enterprises	551	5	121	0.9	4,446	1.8	124,872,955	3.7	2,161
Administrative and waste services	56	1	2	0.0	2	0.0	15,341	0.0	506
Administrative and waste services	56	3	1	0.0	1	0.0	12,397	0.0	954
Administrative and waste services	56	5	1,169	8.6	17,636	6.9	202,046,488	5.9	881
Administrative and support services	561	1	2	0.0	2	0.0	15,341	0.0	506
Administrative and support services	561	3	1	0.0	1	0.0	12,397	0.0	954
Administrative and support services	561	5	1,134	8.3	16,810	6.6	190,119,605	5.6	870
Waste management and remediation services	562	5	35	0.3	826	0.3	11,926,883	0.4	1,111
Educational services	61	1	1	0.0	1	0.0	14,747	0.0	1,134
Educational services	61	2	6	0.0	3,300	1.3	51,709,521	1.5	1,205
Educational services	61	3	13	0.1	14,546	5.7	226,540,558	6.7	1,198
Educational services	61	5	172	1.3	3,346	1.3	36,336,429	1.1	835
Educational services	611	1	1	0.0	1	0.0	14,747	0.0	1,134
Educational services	611	2	6	0.0	3,300	1.3	51,709,521	1.5	1,205
Educational services	611	3	13	0.1	14,546	5.7	226,540,558	6.7	1,198
Educational services	611	5	172	1.3	3,346	1.3	36,336,429	1.1	835
Health care and social assistance	62	1	4	0.0	1,570	0.6	34,007,639	1.0	1,666
Health care and social assistance	62	2	1	0.0	5	0.0	52,433	0.0	807
Health care and social assistance	62	5	1,465	10.8	33,506	13.2	427,658,197	12.6	982
Ambulatory health care services	621	5	998	7.3	14,078	5.5	237,787,794	7.0	1,299
Hospitals	622	1	1	0.0	1,507	0.6	33,557,363	1.0	1,713
Hospitals	622	5	29	0.2	7,390	2.9	92,844,080	2.7	966
Nursing and residential care facilities	623	5	101	0.7	4,931	1.9	47,667,674	1.4	744
Social assistance	624	1	3	0.0	63	0.0	450,276	0.0	550
Social assistance	624	2	1	0.0	5	0.0	52,433	0.0	807
Social assistance	624	5	337	2.5	7,107	2.8	49,358,649	1.4	534
Arts, entertainment, and recreation	71	1	3	0.0	0	0.0	0	0.0	0
Arts, entertainment, and recreation	71	3	4	0.0	244	0.1	892,192	0.0	282
Arts, entertainment, and recreation	71	5	165	1.2	4,415	1.7	22,951,096	0.7	400
Performing arts and spectator sports	711	5	48	0.4	639	0.3	3,868,878	0.1	466
Museums, historical sites, zoos, and parks	712	3	0	0.0	0	0.0	0	0.0	0
Museums, historical sites, zoos, and parks	712	5	14	0.1	412	0.2	2,692,579	0.1	502
Amusements, gambling, and recreation	713	1	3	0.0	0	0.0	0	0.0	0
Amusements, gambling, and recreation	713	3	4	0.0	244	0.1	892,192	0.0	282
Amusements, gambling, and recreation	713	5	103	0.8	3,364	1.3	16,389,639	0.5	375
Accommodation and food services	72	1	2	0.0	0	0.0	0	0.0	0
Accommodation and food services	72	5	1,147	8.4	24,180	9.5	124,511,240	3.7	396
Accommodation	721	1	1	0.0	0	0.0	0	0.0	0
Accommodation	721	5	96	0.7	1,975	0.8	14,034,162	0.4	547
Food services and drinking places	722	1	1	0.0	0	0.0	0	0.0	0
Food services and drinking places	722	5	1,051	7.7	22,205	8.7	110,477,078	3.2	383
Other services, except public administration	81	1	1	0.0	0	0.0	0	0.0	0
Other services, except public administration	81	3	3	0.0	14	0.0	75,565	0.0	415
Other services, except public administration	81	5	990	7.3	6,504	2.6	70,248,042	2.1	831
Repair and maintenance	811	1	1	0.0	0	0.0	0	0.0	0
Repair and maintenance	811	5	331	2.4	2,686	1.1	34,647,448	1.0	992
Personal and laundry services	812	3	3	0.0	14	0.0	75,565	0.0	415
Personal and laundry services	812	5	324	2.4	2,585	1.0	21,129,883	0.6	629
Membership associations and organizations	813	5	173	1.3	1,069	0.4	13,483,073	0.4	971
Private households	814	5	162	1.2	165	0.1	987,638	0.0	461
Public administration	92	1	31	0.2	1,634	0.6	38,546,956	1.1	1,815
Public administration	92	2	24	0.2	1,251	0.5	14,739,572	0.4	907
Public administration	92	3	30	0.2	6,811	2.7	87,474,486	2.6	988
Executive, legislative and general government	921	1	3	0.0	7	0.0	166,729	0.0	1,832
Executive, legislative and general government	921	2	5	0.0	102	0.0	1,163,749	0.0	881
Executive, legislative and general government	921	3	22	0.2	6,555	2.6	84,502,430	2.5	992
Justice, public order, and safety activities	922	1	10	0.1	217	0.1	6,492,969	0.2	2,298
Justice, public order, and safety activities	922	2	6	0.0	402	0.2	5,581,891	0.2	1,068
Justice, public order, and safety activities	922	3	1	0.0	145	0.1	2,292,841	0.1	1,216
Administration of human resource programs	923	1	2	0.0	86	0.0	2,029,755	0.1	1,809
Administration of human resource programs	923	2	5	0.0	513	0.2	5,263,451	0.2	789
Administration of human resource programs	923	3	1	0.0	1	0.0	26,694	0.0	2,053
Administration of environmental programs	924	1	3	0.0	14	0.0	261,366	0.0	1,471
Administration of environmental programs	924	2	1	0.0	28	0.0	233,440	0.0	649
Administration of environmental programs	924	3	3	0.0	81	0.0	243,001	0.0	231
Community and housing program administration	925	3	1	0.0	10	0.0	110,930	0.0	853
Administration of economic programs	926	1	9	0.1	433	0.2	10,577,798	0.3	1,881
Administration of economic programs	926	2	6	0.0	174	0.1	2,084,964	0.1	920
Administration of economic programs	926	3	2	0.0	19	0.0	298,590	0.0	1,230
National security and international affairs	928	1	4	0.0	877	0.3	19,018,339	0.6	1,669
National security and international affairs	928	2	1	0.0	32	0.0	412,077	0.0	1,001
Unclassified establishments	99	5	1	0.0	0	0.0	3,154	0.0	728
Unclassified establishments	999	5	1	0.0	0	0.0	3,154	0.0	728

4.1 Census Tract Demographic-Economic Characteristics .. goto topics
Thematic Pattern & Reference Maps for Sedgwick County, KS & 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 20173 .. 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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