Situation & Outlook Report
  Fresno County, CA  
  .. an information resource developed by ProximityOne .. more about these resources
  .. created 11/30/22

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 Fresno County, CA.
.. See more details using the table of contents below this summary.

Metro Counties and Population Change; 2010-2030
Fresno County, CA is part of the Fresno, CA metro/CBSA (23420).
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
Fresno County, CA	932,011	1,008,966	1,013,581	1,016,273	1,037,809	76,955	8.3	28,843	2.9

Residential Construction. October 2022 new authorized residential construction was 280 total units with total value of $62,171,931 compared to October 2021 209 total units with total value of $58,780,938. 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 316,057 (2010) to 338,360 (2020), a change of 22,303 (7.1%). 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 Fresno County, CA changed from 932,011 (2010) to 1,000,918 (2020), a change of 68,907 (7.4%).

Components of population change during the 2010-2020 period were births 152,607, deaths 67,839, and net migration -15,594. The population natural increase, births less deaths, was 84,768.

The 7/1/20 model-based population estimate was 1,008,966 compared to the 7/1/21 model-based population estimate of 1,013,581. Components of change over the year were births 13,817, deaths 8,865, international migration 9, domestic migration -617. The net migration was -608. The natural increase was 4,952.

Income. The median household income changed from $44,869 in 2010 to $61,401, a change of $16,532 ( 36.8%).

Poverty. The number of people in poverty (all ages) changed from 245,330 in 2010 to 168,153, a change of -77,177 ( -31.5%). The poverty rate (all ages) changed from 26.8 in 2010 to 17.1, a change of -9.7 ( -36.2%).

Fresno city .. the largest city in Fresno County, CA. The 7/1/20 model-based population estimate of Fresno city was 542,161 compared to the 7/1/21 model-based population estimate of 542,159, a change of -2 or 0.0%. See more about Fresno 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.

Fresno 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

$44,869

104,798

38.2

274,435

70,841

36.2

195,635

245,330

26.8

915,987

2011

$42,572

97,470

35.4

274,972

64,551

33.0

195,491

238,977

25.8

925,840

2012

$41,563

110,042

40.1

274,753

73,164

37.5

195,152

263,134

28.2

932,309

2013

$43,741

115,339

42.0

274,649

77,294

39.6

195,111

268,773

28.6

938,786

2014

$43,338

104,770

38.0

275,708

71,200

36.3

196,020

261,387

27.5

949,225

2015

$46,608

100,198

36.3

276,225

66,080

33.6

196,704

241,669

25.2

957,496

2016

$48,323

102,510

37.0

277,275

68,183

34.3

198,711

245,131

25.5

963,077

2017

$51,452

78,675

28.3

278,334

53,484

26.7

200,485

205,046

21.1

972,367

2018

$52,318

84,228

30.2

278,724

59,089

29.3

201,858

208,627

21.3

978,257

2019

$56,926

80,569

29.0

277,361

58,356

28.8

202,916

200,873

20.5

980,933

2020

$61,401

63,763

23.1

275,906

44,236

21.7

203,695

168,153

17.1

982,375

California

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

$57,664

2,012,723

22.0

9,156,662

1,382,859

20.8

6,634,166

5,785,036

15.8

36,593,422

2011

$57,275

2,085,226

22.8

9,128,102

1,431,148

21.7

6,598,903

6,121,726

16.6

36,941,941

2012

$58,322

2,164,589

23.8

9,103,796

1,499,768

22.8

6,571,820

6,323,433

17.0

37,303,312

2013

$60,185

2,119,056

23.5

9,030,489

1,468,727

22.5

6,533,698

6,328,064

16.8

37,593,095

2014

$61,927

2,040,811

22.6

9,017,054

1,424,469

21.9

6,511,235

6,253,423

16.4

38,060,226

2015

$64,483

1,901,985

21.2

8,982,601

1,315,288

20.3

6,483,995

5,896,255

15.4

38,398,077

2016

$67,715

1,782,764

19.9

8,959,115

1,242,780

19.2

6,487,993

5,527,621

14.4

38,513,333

2017

$71,785

1,615,913

18.1

8,922,696

1,123,318

17.4

6,466,584

5,164,169

13.3

38,793,030

2018

$75,250

1,539,628

17.4

8,861,486

1,086,618

16.9

6,438,004

4,972,955

12.8

38,818,530

2019

$80,423

1,363,913

15.6

8,723,360

969,127

15.2

6,378,735

4,560,419

11.8

38,733,501

2020

$83,001

1,260,145

14.6

8,609,649

898,424

14.2

6,332,102

4,419,167

11.5

38,585,897

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 Fresno County, CA to other areas using this interactive table.

Examine GDP components and compare Fresno County, CA to other areas using this interactive table.

02. How & Why Fresno County, CA is Changing .. goto topics
Fresno County, CA (06019), part of Fresno, CA MSA (23420), changed in population from 932,011 (2010) to 1,000,918 (2020), a change of 68,907 (7.4%).
Factors accounting the change over the decade 2010 to 2020 include:
  • Births 2010-2020: 152,607
  • Deaths 2010-2020: 67,839
  • Natural Increase 2010-2020: 84,768
  • Net Migration 2010-2020: -15,594

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

Population 7/1/20	1,008,966
Births 6/30/19-7/1/20	13,712
Deaths 6/30/19-7/1/20	9,108
Natural Increase 6/30/19-7/1/20	4,604
International Migration 6/30/19-7/1/20	-140
Domestic Migration 6/30/19-7/1/20	-3,424
Net Migration 6/30/19-7/1/20	-3,564
Population 7/1/21	1,013,581
Births 6/30/20-7/1/21	13,817
Deaths 6/30/20-7/1/21	8,865
Natural Increase 6/30/20-7/1/21	4,952
International Migration 6/30/20-7/1/21	9
Domestic Migration 6/30/20-7/1/21	-617
Net Migration 6/30/20-7/1/21	-608

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

Fresno County, CA .. 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	930,450	100.0	1,008,654	100.0	78,204	8.4
One race	888,164	95.5	845,251	83.8	-42,913	-4.8
White alone	515,145	55.4	374,678	37.1	-140,467	-27.3
Black alone	49,523	5.3	48,707	4.8	-816	-1.6
American India/Alaskan Native alone	15,649	1.7	22,043	2.2	6,394	40.9
Asian alone	89,357	9.6	113,328	11.2	23,971	26.8
Native Hawaiian and Other Pacific Islander alone	1,405	0.2	1,665	0.2	260	18.5
Other race	217,085	23.3	284,830	28.2	67,745	31.2
Two or more races	42,286	4.5	163,403	16.2	121,117	286.4
White, Non-Hispanic	304,522	32.7	271,889	27.0	-32,633	-10.7
Black Non-Hispanic	45,005	4.8	44,295	4.4	-710	-1.6
Hispanic (of any race)	468,070	50.3	540,743	53.6	72,673	15.5
Total population, 18 years or older	652,943	70.2	730,245	72.4	77,302	11.8
One race	630,144	67.7	621,483	61.6	-8,661	-1.4
White alone	384,420	41.3	292,657	29.0	-91,763	-23.9
Black alone	33,624	3.6	34,327	3.4	703	2.1
American India/Alaskan Native alone	10,534	1.1	15,363	1.5	4,829	45.8
Asian alone	61,828	6.6	83,051	8.2	21,223	34.3
Native Hawaiian and Other Pacific Islander alone	997	0.1	1,216	0.1	219	22.0
Other race	138,741	14.9	194,869	19.3	56,128	40.5
Two or more races	22,799	2.5	108,762	10.8	85,963	377.0
White, Non-Hispanic	249,051	26.8	226,073	22.4	-22,978	-9.2
Black Non-Hispanic	31,469	3.4	32,283	3.2	814	2.6
Hispanic (of any race)	295,803	31.8	362,203	35.9	66,400	22.4
Group Quarters population	17,523	1.9	18,416	1.8	893	5.1
Group Quarters, institutionalized population	12,029	1.3	11,403	1.1	-626	-5.2
Group Quarters, noninstitutionalized population	5,494	0.6	7,013	0.7	1,519	27.6
Housing Units	315,531	100.0	338,441	100.0	22,910	7.3
Occupied	289,391	91.7	319,296	94.3	29,905	10.3
Vacant	26,140	8.3	19,145	5.7	-6,995	-26.8

1.1 Population & Components of Change .. goto topics

Based on Census Bureau model-based population estimates, the Fresno County, CA population changed from 932,011 in 2010 to 1,000,918 in 2020, a change of 68,907 (7.4%).

Population/Component	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
Population	932,011	939,251	944,779	951,143	960,072	968,889	976,231	984,726	991,298	997,847	1,000,918
Births	3,897	16,320	15,946	15,731	15,854	15,657	15,205	14,794	14,408	14,441	14,251
Deaths	1,590	5,995	6,268	6,523	6,322	6,601	6,569	7,060	7,192	7,368	7,941
Natural Increase	2,307	10,325	9,678	9,208	9,532	9,056	8,636	7,734	7,216	7,073	6,310
Net Migration	-789	-3,076	-4,137	-2,799	-456	-146	-1,278	797	-639	-565	-3,295
International	75	454	512	916	1,273	1,778	1,925	1,237	506	-59	41
Domestic	41	-864	-3,530	-4,649	-3,715	-1,729	-1,924	-3,203	-440	-1,145	-506
Group Quarters	17,204	16,835	16,318	16,819	17,316	17,900	17,434	17,396	16,973	17,669	17,672

Examine population estimates/components of change and compare Fresno County, CA 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
Clovis city 0614218	96,386	97,557	98,588	99,631	101,904	103,828	106,353	109,316	111,824	114,584
Coalinga city 0614274	18,330	18,303	17,055	16,974	16,647	16,755	16,827	16,988	16,774	17,179
Firebaugh city 0624134	7,601	7,764	7,894	8,053	8,259	8,276	8,290	8,294	8,315	8,296
Fowler city 0625436	5,665	5,921	5,929	5,938	6,028	6,242	6,353	6,487	6,750	6,790
Fresno city 0627000	497,769	501,429	505,414	508,880	514,100	518,203	521,426	525,373	528,814	531,576
Huron city 0636084	6,752	6,745	6,754	6,765	6,779	6,802	6,924	7,285	7,278	7,281
Kerman city 0638226	13,634	13,877	14,285	14,299	14,329	14,412	14,534	14,860	14,987	15,282
Kingsburg city 0638562	11,464	11,556	11,636	11,698	11,727	11,800	11,831	12,013	12,071	12,108
Orange Cove city 0654008	9,750	10,190	10,205	10,215	10,220	10,258	10,272	10,293	10,286	10,273
Parlier city 0655856	14,614	14,703	14,789	14,882	14,991	15,141	15,213	15,283	15,342	15,618
Reedley city 0660242	24,414	24,768	24,848	25,002	25,395	25,541	25,583	25,602	25,607	25,658
San Joaquin city 0667126	3,995	3,993	3,996	4,005	4,004	4,013	4,020	4,026	4,022	4,021
Selma city 0670882	23,459	23,570	23,886	24,259	24,325	24,440	24,683	24,695	24,758	24,825
Balance of Fresno County 0699990	162,576	163,085	163,743	164,826	165,693	167,449	168,036	168,115	168,340	168,760
Mendota city 0646828	11,332	11,501	11,519	11,512	11,505	11,526	11,541	11,543	11,526	11,511
Sanger city 0667056	24,298	24,444	24,504	24,575	24,661	24,802	24,944	25,065	25,256	25,339

Examine city/place population estimates and compare places in Fresno County, CA to other areas using this interactive table.
.. use the county code 06019 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 496 mover partner areas for Fresno County, CA. There were a total inbound movers of 34123 and a total outbound movers of 28744, for a net movers of 1077 (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_06019.dbf.

Residence 1 Year Age	Geocode	Moved to 06019	Moved from 06019	Net Movers
Africa	null	96	null	null
Asia	null	1765	null	null
Central America	null	1776	null	null
Caribbean	null	17	null	null
Europe	null	466	null	null
U.S. Island Areas	null	5	null	null
Northern America	null	119	null	null
Oceania and At Sea	null	37	null	null
South America	null	21	null	null
Baldwin County, Alabama	01003	0	8	-8
Cullman County, Alabama	01043	0	30	-30
Dallas County, Alabama	01047	0	6	-6
Madison County, Alabama	01089	8	0	8
Marshall County, Alabama	01095	8	0	8
Shelby County, Alabama	01117	52	0	52
Tuscaloosa County, Alabama	01125	0	204	-204
Anchorage Municipality, Alaska	02020	50	72	-22
Fairbanks North Star Borough, Alaska	02090	11	0	11
Juneau City and Borough, Alaska	02110	0	9	-9
Ketchikan Gateway Borough, Alaska	02130	13	0	13
Kodiak Island Borough, Alaska	02150	0	3	-3
Matanuska-Susitna Borough, Alaska	02170	0	1	-1
Sitka City and Borough, Alaska	02220	0	52	-52
Cochise County, Arizona	04003	0	131	-131
Coconino County, Arizona	04005	7	11	-4
Maricopa County, Arizona	04013	205	334	-129
Mohave County, Arizona	04015	0	9	-9
Pima County, Arizona	04019	57	62	-5
Pinal County, Arizona	04021	39	48	-9
Yavapai County, Arizona	04025	7	0	7
Garland County, Arkansas	05051	0	85	-85
Jefferson County, Arkansas	05069	7	27	-20
Lawrence County, Arkansas	05075	0	5	-5
Washington County, Arkansas	05143	53	0	53
White County, Arkansas	05145	8	0	8
Alameda County, California	06001	873	634	239
Amador County, California	06005	16	116	-100
Butte County, California	06007	267	99	168
Calaveras County, California	06009	11	0	11
Colusa County, California	06011	32	4	28
Contra Costa County, California	06013	814	426	388
Del Norte County, California	06015	86	14	72
El Dorado County, California	06017	172	58	114
Glenn County, California	06021	0	24	-24
Humboldt County, California	06023	51	46	5
Imperial County, California	06025	97	505	-408
Kern County, California	06029	1246	1527	-281
Kings County, California	06031	786	1488	-702
Lake County, California	06033	5	0	5
Lassen County, California	06035	51	58	-7
Los Angeles County, California	06037	2286	1647	639
Madera County, California	06039	2805	2009	796
Marin County, California	06041	168	343	-175
Mariposa County, California	06043	129	101	28
Mendocino County, California	06045	19	0	19
Merced County, California	06047	746	460	286
Modoc County, California	06049	150	0	150
Mono County, California	06051	24	0	24
Monterey County, California	06053	718	701	17
Napa County, California	06055	47	68	-21
Nevada County, California	06057	35	14	21
Orange County, California	06059	361	581	-220
Placer County, California	06061	51	116	-65
Riverside County, California	06065	1014	284	730
Sacramento County, California	06067	1461	1140	321
San Benito County, California	06069	0	86	-86
San Bernardino County, California	06071	544	488	56
San Diego County, California	06073	583	646	-63
San Francisco County, California	06075	251	130	121
San Joaquin County, California	06077	400	637	-237
San Luis Obispo County, California	06079	461	665	-204
San Mateo County, California	06081	237	230	7
Santa Barbara County, California	06083	124	227	-103
Santa Clara County, California	06085	921	456	465
Santa Cruz County, California	06087	120	170	-50
Shasta County, California	06089	144	49	95
Sierra County, California	06091	0	16	-16
Siskiyou County, California	06093	119	3	116
Solano County, California	06095	126	237	-111
Sonoma County, California	06097	58	140	-82
Stanislaus County, California	06099	316	346	-30
Sutter County, California	06101	11	21	-10
Tehama County, California	06103	40	46	-6
Trinity County, California	06105	0	6	-6
Tulare County, California	06107	2139	1915	224
Tuolumne County, California	06109	81	70	11
Ventura County, California	06111	44	232	-188
Yolo County, California	06113	175	103	72
Alamosa County, Colorado	08003	16	0	16
Arapahoe County, Colorado	08005	5	12	-7
Bent County, Colorado	08011	5	0	5
Boulder County, Colorado	08013	0	30	-30
Denver County, Colorado	08031	1	0	1
Eagle County, Colorado	08037	31	0	31
El Paso County, Colorado	08041	92	16	76
Jefferson County, Colorado	08059	11	0	11
La Plata County, Colorado	08067	0	16	-16
Logan County, Colorado	08075	0	5	-5
Rio Blanco County, Colorado	08103	18	0	18
Summit County, Colorado	08117	19	0	19
Weld County, Colorado	08123	0	71	-71
Fairfield County, Connecticut	09001	19	0	19
Hartford County, Connecticut	09003	0	24	-24
New Haven County, Connecticut	09009	20	13	7
Windham County, Connecticut	09015	1	0	1
New Castle County, Delaware	10003	51	0	51
Alachua County, Florida	12001	6	0	6
Brevard County, Florida	12009	19	29	-10
Escambia County, Florida	12033	0	12	-12
Hillsborough County, Florida	12057	0	15	-15
Miami-Dade County, Florida	12086	34	16	18
Orange County, Florida	12095	81	0	81
Palm Beach County, Florida	12099	21	14	7
Polk County, Florida	12105	20	35	-15
Putnam County, Florida	12107	15	0	15
St. Lucie County, Florida	12111	0	7	-7
Santa Rosa County, Florida	12113	0	15	-15
Sarasota County, Florida	12115	0	17	-17
Volusia County, Florida	12127	0	18	-18
Charlton County, Georgia	13049	0	9	-9
Clayton County, Georgia	13063	0	141	-141
Cobb County, Georgia	13067	177	23	154
Forsyth County, Georgia	13117	0	28	-28
Fulton County, Georgia	13121	19	0	19
Hall County, Georgia	13139	4	0	4
Muscogee County, Georgia	13215	106	12	94
Richmond County, Georgia	13245	0	15	-15
Troup County, Georgia	13285	0	55	-55
Honolulu County, Hawaii	15003	25	146	-121
Maui County, Hawaii	15009	15	0	15
Ada County, Idaho	16001	0	254	-254
Bingham County, Idaho	16011	2	0	2
Bonner County, Idaho	16017	0	87	-87
Boundary County, Idaho	16021	0	26	-26
Canyon County, Idaho	16027	0	38	-38
Elmore County, Idaho	16039	0	33	-33
Fremont County, Idaho	16043	0	9	-9
Gem County, Idaho	16045	28	0	28
Nez Perce County, Idaho	16069	0	1	-1
Clinton County, Illinois	17027	0	22	-22
Cook County, Illinois	17031	77	234	-157
DuPage County, Illinois	17043	48	0	48
Kane County, Illinois	17089	0	32	-32
Kankakee County, Illinois	17091	0	25	-25
Lake County, Illinois	17097	1	25	-24
Will County, Illinois	17197	25	0	25
Delaware County, Indiana	18035	0	14	-14
Fayette County, Indiana	18041	0	35	-35
Greene County, Indiana	18055	0	31	-31
Jasper County, Indiana	18073	0	21	-21
Johnson County, Indiana	18081	0	3	-3
Lake County, Indiana	18089	16	0	16
Madison County, Indiana	18095	0	10	-10
Marion County, Indiana	18097	18	30	-12
St. Joseph County, Indiana	18141	14	0	14
Tippecanoe County, Indiana	18157	0	59	-59
Calhoun County, Iowa	19025	0	1	-1
Carroll County, Iowa	19027	0	9	-9
Fayette County, Iowa	19065	0	2	-2
Grundy County, Iowa	19075	0	2	-2
Jasper County, Iowa	19099	9	0	9
Osceola County, Iowa	19143	0	54	-54
Dickinson County, Kansas	20041	0	10	-10
Douglas County, Kansas	20045	13	35	-22
Finney County, Kansas	20055	0	13	-13
Ford County, Kansas	20057	0	3	-3
Geary County, Kansas	20061	10	0	10
McPherson County, Kansas	20113	0	3	-3
Marion County, Kansas	20115	0	6	-6
Meade County, Kansas	20119	0	11	-11
Morris County, Kansas	20127	0	4	-4
Sedgwick County, Kansas	20173	0	16	-16
Wyandotte County, Kansas	20209	133	0	133
Pulaski County, Kentucky	21199	0	11	-11
Concordia Parish, Louisiana	22029	61	0	61
Grant Parish, Louisiana	22043	8	0	8
Jefferson Parish, Louisiana	22051	0	77	-77
Lafayette Parish, Louisiana	22055	0	20	-20
Orleans Parish, Louisiana	22071	29	77	-48
Vernon Parish, Louisiana	22115	0	13	-13
Kennebec County, Maine	23011	0	4	-4
Knox County, Maine	23013	21	0	21
Montgomery County, Maryland	24031	455	14	441
Prince George's County, Maryland	24033	40	70	-30
Franklin County, Massachusetts	25011	8	0	8
Norfolk County, Massachusetts	25021	23	0	23
Suffolk County, Massachusetts	25025	69	27	42
Worcester County, Massachusetts	25027	18	0	18
Cheboygan County, Michigan	26031	0	2	-2
Iosco County, Michigan	26069	0	4	-4
Jackson County, Michigan	26075	0	5	-5
Macomb County, Michigan	26099	0	14	-14
Midland County, Michigan	26111	9	0	9
Monroe County, Michigan	26115	0	7	-7
Montcalm County, Michigan	26117	0	83	-83
Oakland County, Michigan	26125	19	0	19
Washtenaw County, Michigan	26161	0	20	-20
Wayne County, Michigan	26163	0	11	-11
Anoka County, Minnesota	27003	26	0	26
Hennepin County, Minnesota	27053	1	11	-10
Isanti County, Minnesota	27059	2	7	-5
St. Louis County, Minnesota	27137	16	0	16
Forrest County, Mississippi	28035	0	17	-17
Harrison County, Mississippi	28047	0	27	-27
Hinds County, Mississippi	28049	0	10	-10
Jackson County, Mississippi	28059	0	21	-21
Lauderdale County, Mississippi	28075	0	11	-11
Madison County, Mississippi	28089	7	8	-1
Montgomery County, Mississippi	28097	0	13	-13
Neshoba County, Mississippi	28099	0	7	-7
Callaway County, Missouri	29027	0	5	-5
Camden County, Missouri	29029	11	0	11
Greene County, Missouri	29077	25	0	25
Jackson County, Missouri	29095	0	24	-24
Jasper County, Missouri	29097	0	49	-49
Lafayette County, Missouri	29107	0	68	-68
McDonald County, Missouri	29119	0	34	-34
Newton County, Missouri	29145	0	8	-8
Platte County, Missouri	29165	0	12	-12
Pulaski County, Missouri	29169	0	28	-28
Flathead County, Montana	30029	15	11	4
Gallatin County, Montana	30031	0	13	-13
Lewis and Clark County, Montana	30049	0	10	-10
Yellowstone County, Montana	30111	68	4	64
Douglas County, Nebraska	31055	44	0	44
Gage County, Nebraska	31067	20	0	20
Lancaster County, Nebraska	31109	24	0	24
Scotts Bluff County, Nebraska	31157	0	34	-34
Clark County, Nevada	32003	356	569	-213
Douglas County, Nevada	32005	0	4	-4
Lyon County, Nevada	32019	0	79	-79
Nye County, Nevada	32023	2	0	2
Washoe County, Nevada	32031	139	139	0
Carson City, Nevada	32510	68	0	68
Coos County, New Hampshire	33007	0	15	-15
Camden County, New Jersey	34007	0	30	-30
Cape May County, New Jersey	34009	0	47	-47
Cumberland County, New Jersey	34011	8	0	8
Mercer County, New Jersey	34021	40	0	40
Middlesex County, New Jersey	34023	45	0	45
Ocean County, New Jersey	34029	10	0	10
Somerset County, New Jersey	34035	0	21	-21
Bernalillo County, New Mexico	35001	107	56	51
Doña Ana County, New Mexico	35013	12	56	-44
Luna County, New Mexico	35029	17	0	17
San Miguel County, New Mexico	35047	38	0	38
Santa Fe County, New Mexico	35049	17	0	17
Albany County, New York	36001	0	49	-49
Bronx County, New York	36005	22	0	22
Cayuga County, New York	36011	14	0	14
Erie County, New York	36029	45	1	44
Jefferson County, New York	36045	0	11	-11
Kings County, New York	36047	27	8	19
Lewis County, New York	36049	0	9	-9
Monroe County, New York	36055	0	8	-8
Nassau County, New York	36059	66	9	57
Oneida County, New York	36065	0	6	-6
Onondaga County, New York	36067	0	8	-8
Otsego County, New York	36077	0	6	-6
Queens County, New York	36081	4	0	4
Rensselaer County, New York	36083	23	0	23
Richmond County, New York	36085	0	4	-4
Wayne County, New York	36117	7	0	7
Anson County, North Carolina	37007	0	5	-5
Cabarrus County, North Carolina	37025	7	0	7
Craven County, North Carolina	37049	64	0	64
Cumberland County, North Carolina	37051	22	0	22
Durham County, North Carolina	37063	76	5	71
Guilford County, North Carolina	37081	0	92	-92
Haywood County, North Carolina	37087	26	0	26
Onslow County, North Carolina	37133	64	57	7
Robeson County, North Carolina	37155	13	0	13
Wake County, North Carolina	37183	32	10	22
Warren County, North Carolina	37185	0	10	-10
Wayne County, North Carolina	37191	0	9	-9
Wilson County, North Carolina	37195	16	0	16
Cass County, North Dakota	38017	44	0	44
McKenzie County, North Dakota	38053	5	0	5
Ward County, North Dakota	38101	0	5	-5
Auglaize County, Ohio	39011	29	0	29
Cuyahoga County, Ohio	39035	10	9	1
Franklin County, Ohio	39049	3	0	3
Hamilton County, Ohio	39061	53	145	-92
Lucas County, Ohio	39095	25	0	25
Washington County, Ohio	39167	0	6	-6
Beckham County, Oklahoma	40009	4	0	4
Bryan County, Oklahoma	40013	22	0	22
Cleveland County, Oklahoma	40027	101	0	101
Comanche County, Oklahoma	40031	8	0	8
Delaware County, Oklahoma	40041	9	9	0
Jackson County, Oklahoma	40065	0	9	-9
Muskogee County, Oklahoma	40101	0	18	-18
Oklahoma County, Oklahoma	40109	21	0	21
Okmulgee County, Oklahoma	40111	0	11	-11
Ottawa County, Oklahoma	40115	0	8	-8
Stephens County, Oklahoma	40137	0	8	-8
Tulsa County, Oklahoma	40143	0	58	-58
Wagoner County, Oklahoma	40145	0	17	-17
Washita County, Oklahoma	40149	0	7	-7
Benton County, Oregon	41003	15	35	-20
Clackamas County, Oregon	41005	31	66	-35
Coos County, Oregon	41011	35	0	35
Curry County, Oregon	41015	17	0	17
Deschutes County, Oregon	41017	0	22	-22
Douglas County, Oregon	41019	0	114	-114
Jackson County, Oregon	41029	165	228	-63
Josephine County, Oregon	41033	0	90	-90
Klamath County, Oregon	41035	3	48	-45
Lane County, Oregon	41039	14	20	-6
Multnomah County, Oregon	41051	114	287	-173
Polk County, Oregon	41053	13	2	11
Umatilla County, Oregon	41059	0	105	-105
Washington County, Oregon	41067	0	35	-35
Yamhill County, Oregon	41071	6	0	6
Blair County, Pennsylvania	42013	23	0	23
Centre County, Pennsylvania	42027	0	39	-39
Chester County, Pennsylvania	42029	37	0	37
Lancaster County, Pennsylvania	42071	46	0	46
Lehigh County, Pennsylvania	42077	70	0	70
Wayne County, Pennsylvania	42127	31	0	31
Westmoreland County, Pennsylvania	42129	0	56	-56
York County, Pennsylvania	42133	29	31	-2
Kent County, Rhode Island	44003	42	0	42
Berkeley County, South Carolina	45015	0	5	-5
Charleston County, South Carolina	45019	24	0	24
Horry County, South Carolina	45051	36	7	29
Richland County, South Carolina	45079	0	17	-17
Spartanburg County, South Carolina	45083	0	102	-102
York County, South Carolina	45091	0	70	-70
Brookings County, South Dakota	46011	23	0	23
Davison County, South Dakota	46035	0	4	-4
Minnehaha County, South Dakota	46099	0	8	-8
Pennington County, South Dakota	46103	1	0	1
Davidson County, Tennessee	47037	0	3	-3
Greene County, Tennessee	47059	0	70	-70
Houston County, Tennessee	47083	0	13	-13
Madison County, Tennessee	47113	32	0	32
Montgomery County, Tennessee	47125	15	23	-8
Shelby County, Tennessee	47157	23	40	-17
Stewart County, Tennessee	47161	0	2	-2
Sumner County, Tennessee	47165	0	109	-109
Bexar County, Texas	48029	152	0	152
Brazoria County, Texas	48039	125	0	125
Brown County, Texas	48049	34	0	34
Dallas County, Texas	48113	62	0	62
Denton County, Texas	48121	0	49	-49
Ector County, Texas	48135	0	22	-22
Ellis County, Texas	48139	19	0	19
El Paso County, Texas	48141	18	9	9
Galveston County, Texas	48167	17	28	-11
Grayson County, Texas	48181	0	26	-26
Harris County, Texas	48201	115	31	84
Hidalgo County, Texas	48215	0	8	-8
Hopkins County, Texas	48223	9	0	9
Howard County, Texas	48227	9	4	5
Jefferson County, Texas	48245	45	0	45
Lubbock County, Texas	48303	19	0	19
McLennan County, Texas	48309	0	52	-52
Midland County, Texas	48329	9	0	9
Montgomery County, Texas	48339	9	0	9
Orange County, Texas	48361	0	9	-9
Potter County, Texas	48375	7	0	7
Starr County, Texas	48427	19	0	19
Tarrant County, Texas	48439	94	45	49
Webb County, Texas	48479	17	9	8
Wichita County, Texas	48485	0	6	-6
Williamson County, Texas	48491	24	38	-14
Duchesne County, Utah	49013	19	0	19
Millard County, Utah	49027	0	10	-10
Salt Lake County, Utah	49035	168	78	90
Sanpete County, Utah	49039	0	10	-10
Sevier County, Utah	49041	0	5	-5
Utah County, Utah	49049	30	78	-48
Wasatch County, Utah	49051	0	5	-5
Washington County, Utah	49053	6	0	6
Accomack County, Virginia	51001	0	15	-15
Fairfax County, Virginia	51059	6	0	6
Prince George County, Virginia	51149	2	0	2
Danville city, Virginia	51590	3	0	3
Newport News city, Virginia	51700	0	50	-50
Norfolk city, Virginia	51710	37	0	37
Portsmouth city, Virginia	51740	0	74	-74
Virginia Beach city, Virginia	51810	103	0	103
Chelan County, Washington	53007	0	45	-45
Clark County, Washington	53011	26	39	-13
Cowlitz County, Washington	53015	23	0	23
Grays Harbor County, Washington	53027	25	0	25
Island County, Washington	53029	44	0	44
King County, Washington	53033	261	236	25
Kitsap County, Washington	53035	0	74	-74
Kittitas County, Washington	53037	0	104	-104
Pierce County, Washington	53053	179	92	87
San Juan County, Washington	53055	0	2	-2
Snohomish County, Washington	53061	12	89	-77
Spokane County, Washington	53063	57	22	35
Thurston County, Washington	53067	111	0	111
Whatcom County, Washington	53073	25	0	25
Whitman County, Washington	53075	12	0	12
Yakima County, Washington	53077	35	59	-24
Kanawha County, West Virginia	54039	7	0	7
Brown County, Wisconsin	55009	6	0	6
Dunn County, Wisconsin	55033	0	3	-3
La Crosse County, Wisconsin	55063	0	8	-8
Lincoln County, Wisconsin	55069	0	2	-2
Milwaukee County, Wisconsin	55079	18	0	18
Racine County, Wisconsin	55101	0	14	-14
Rock County, Wisconsin	55105	61	0	61
St. Croix County, Wisconsin	55109	0	3	-3
Shawano County, Wisconsin	55115	5	0	5
Albany County, Wyoming	56001	0	3	-3
Laramie County, Wyoming	56021	0	42	-42
Natrona County, Wyoming	56025	0	1	-1
Sheridan County, Wyoming	56033	0	19	-19
Caguas Municipio, Puerto Rico	72025	20	0	20
San Juan Municipio, Puerto Rico	72127	36	0	36
Danbury town, Fairfield County, Connecticut	0900118500	19	0	19
Hartford town, Hartford County, Connecticut	0900337070	0	7	-7
Marlborough town, Hartford County, Connecticut	0900345820	0	17	-17
New Haven town, New Haven County, Connecticut	0900952070	0	13	-13
Wallingford town, New Haven County, Connecticut	0900978740	20	0	20
Plainfield town, Windham County, Connecticut	0901559980	1	0	1
Randolph town, Kennebec County, Maine	2301161700	0	4	-4
Hope town, Knox County, Maine	2301333840	21	0	21
Greenfield Town city, Franklin County, Massachusetts	2501127100	8	0	8
Quincy city, Norfolk County, Massachusetts	2502155745	16	0	16
Wellesley town, Norfolk County, Massachusetts	2502174175	7	0	7
Boston city, Suffolk County, Massachusetts	2502507000	69	27	42
Westminster town, Worcester County, Massachusetts	2502777010	18	0	18
Cheboygan city, Cheboygan County, Michigan	2603115000	0	2	-2
Burleigh township, Iosco County, Michigan	2606911740	0	4	-4
Sandstone township, Jackson County, Michigan	2607571500	0	5	-5
Armada township, Macomb County, Michigan	2609903540	0	4	-4
Sterling Heights city, Macomb County, Michigan	2609976460	0	10	-10
Edenville township, Midland County, Michigan	2611124830	9	0	9
Bedford township, Monroe County, Michigan	2611506740	0	7	-7
Greenville city, Montcalm County, Michigan	2611735100	0	83	-83
Troy city, Oakland County, Michigan	2612580700	19	0	19
Ann Arbor city, Washtenaw County, Michigan	2616103000	0	20	-20
Detroit city, Wayne County, Michigan	2616322000	0	11	-11
Blaine city, Anoka County, Minnesota	2700306382	26	0	26
Minneapolis city, Hennepin County, Minnesota	2705343000	1	0	1
Minnetrista city, Hennepin County, Minnesota	2705343306	0	11	-11
Braham city, Isanti County, Minnesota	2705907282	2	0	2
Wyanett township, Isanti County, Minnesota	2705971896	0	7	-7
Chisholm city, St. Louis County, Minnesota	2713711386	16	0	16
Berlin city, Coos County, New Hampshire	3300705140	0	15	-15
Gloucester township, Camden County, New Jersey	3400726760	0	30	-30
Cape May city, Cape May County, New Jersey	3400910270	0	38	-38
Upper township, Cape May County, New Jersey	3400974810	0	9	-9
Bridgeton city, Cumberland County, New Jersey	3401107600	8	0	8
East Windsor township, Mercer County, New Jersey	3402119780	40	0	40
Edison township, Middlesex County, New Jersey	3402320230	45	0	45
Point Pleasant borough, Ocean County, New Jersey	3402959880	10	0	10
Bridgewater township, Somerset County, New Jersey	3403507720	0	21	-21
Albany city, Albany County, New York	3600101000	0	49	-49
Bronx borough, Bronx County, New York	3600508510	22	0	22
Auburn city, Cayuga County, New York	3601103078	14	0	14
Buffalo city, Erie County, New York	3602911000	45	0	45
Lackawanna city, Erie County, New York	3602940189	0	1	-1
Le Ray town, Jefferson County, New York	3604542015	0	11	-11
Brooklyn borough, Kings County, New York	3604710022	27	8	19
Croghan town, Lewis County, New York	3604919081	0	9	-9
Henrietta town, Monroe County, New York	3605534099	0	8	-8
Hempstead town, Nassau County, New York	3605934000	66	0	66
North Hempstead town, Nassau County, New York	3605953000	0	9	-9
Utica city, Oneida County, New York	3606576540	0	6	-6
Lysander town, Onondaga County, New York	3606744039	0	8	-8
Middlefield town, Otsego County, New York	3607746910	0	6	-6
Queens borough, Queens County, New York	3608160323	4	0	4
Troy city, Rensselaer County, New York	3608375484	23	0	23
Staten Island borough, Richmond County, New York	3608570915	0	4	-4
Butler town, Wayne County, New York	3611711473	7	0	7
Frankstown township, Blair County, Pennsylvania	4201327600	23	0	23
College township, Centre County, Pennsylvania	4202715136	0	7	-7
State College borough, Centre County, Pennsylvania	4202773808	0	32	-32
Coatesville city, Chester County, Pennsylvania	4202914712	37	0	37
Elizabeth township, Lancaster County, Pennsylvania	4207123008	46	0	46
Lower Macungie township, Lehigh County, Pennsylvania	4207744952	70	0	70
Damascus township, Wayne County, Pennsylvania	4212718104	31	0	31
Jeannette city, Westmoreland County, Pennsylvania	4212937784	0	41	-41
Murrysville municipality, Westmoreland County, Pennsylvania	4212952432	0	13	-13
Penn borough, Westmoreland County, Pennsylvania	4212958872	0	2	-2
Conewago township, York County, Pennsylvania	4213315656	29	0	29
Springettsbury township, York County, Pennsylvania	4213372992	0	31	-31
East Greenwich town, Kent County, Rhode Island	4400322240	42	0	42
Howard village, Brown County, Wisconsin	5500935950	6	0	6
Elk Mound town, Dunn County, Wisconsin	5503323350	0	3	-3
Onalaska city, La Crosse County, Wisconsin	5506359925	0	8	-8
Russell town, Lincoln County, Wisconsin	5506970325	0	2	-2
Wauwatosa city, Milwaukee County, Wisconsin	5507984675	18	0	18
Racine city, Racine County, Wisconsin	5510166000	0	14	-14
Beloit city, Rock County, Wisconsin	5510506500	54	0	54
Janesville city, Rock County, Wisconsin	5510537825	7	0	7
Springfield town, St. Croix County, Wisconsin	5510975950	0	3	-3
Gresham village, Shawano County, Wisconsin	5511531675	5	0	5

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	990,204	100.0	326,569,308	100.0
..Male	D002	494,056	49.9	160,818,530	49.2
..Female	D003	496,148	50.1	165,750,778	50.8
..Sex ratio (males per 100 females)	D004	99.6		97.0
..Under 5 years	D005	76,364	7.7	19,650,192	6.0
..5 to 9 years	D006	78,430	7.9	19,979,039	6.1
..10 to 14 years	D007	81,637	8.2	21,107,910	6.5
..15 to 19 years	D008	72,094	7.3	21,174,955	6.5
..20 to 24 years	D009	70,752	7.1	21,820,378	6.7
..25 to 34 years	D010	152,119	15.4	45,485,165	13.9
..35 to 44 years	D011	124,896	12.6	41,346,677	12.7
..45 to 54 years	D012	109,899	11.1	41,540,736	12.7
..55 to 59 years	D013	54,575	5.5	21,785,721	6.7
..60 to 64 years	D014	48,309	4.9	20,315,718	6.2
..65 to 74 years	D015	70,923	7.2	30,547,950	9.4
..75 to 84 years	D016	33,406	3.4	15,193,051	4.7
..85 years and over	D017	16,800	1.7	6,621,816	2.0
..Median age (years)	D018	32.4		38.2
..Under 18 years	D019	281,391	28.4	73,296,738	22.4
..16 years and over	D020	738,854	74.6	261,649,873	80.1
..18 years and over	D021	708,813	71.6	253,272,570	77.6
..21 years and over	D022	666,196	67.3	240,169,127	73.5
..62 years and over	D023	148,451	15.0	64,136,076	19.6
..65 years and over	D024	121,129	12.2	52,362,817	16.0
..18 years and over	D025	708,813	100.0	253,272,570	100.0
...Male	D026	350,442	49.4	123,361,776	48.7
...Female	D027	358,371	50.6	129,910,794	51.3
...Sex ratio (males per 100 females)	D028	97.8		95.0
..65 years and over	D029	121,129	100.0	52,362,817	100.0
...Male	D030	54,161	44.7	23,264,263	44.4
...Female	D031	66,968	55.3	29,098,554	55.6
...Sex ratio (males per 100 females)	D032	80.9		79.9
RACE
.Total population	D033	990,204	100.0	326,569,308	100.0
..One race	D034	905,847	91.5	309,693,766	94.8
..Two or more races	D035	84,357	8.5	16,875,542	5.2
..One race	D036	905,847	91.5	309,693,766	94.8
...White	D037	597,574	60.3	229,960,813	70.4
...Black or African American	D038	46,182	4.7	41,227,384	12.6
...American Indian and Alaska Native	D039	11,604	1.2	2,688,614	0.8
....Cherokee tribal grouping	D040	701	0.1	277,634	0.1
....Chippewa tribal grouping	D041	11	0.0	112,056	0.0
....Navajo tribal grouping	D042	392	0.0	324,638	0.1
....Sioux tribal grouping	D043	21	0.0	110,492	0.0
...Asian	D044	105,302	10.6	18,421,637	5.6
....Asian Indian	D045	21,863	2.2	4,143,134	1.3
....Chinese	D046	8,275	0.8	4,345,272	1.3
....Filipino	D047	11,734	1.2	2,884,210	0.9
....Japanese	D048	4,229	0.4	768,985	0.2
....Korean	D049	1,879	0.2	1,477,325	0.5
....Vietnamese	D050	3,538	0.4	1,852,906	0.6
....Other Asian	D051	53,784	5.4	2,949,805	0.9
...Native Hawaiian and Other Pacific Islander	D052	1,518	0.2	611,404	0.2
....Native Hawaiian	D053	328	0.0	185,474	0.1
....Guamanian or Chamorro	D054	311	0.0	81,898	0.0
....Samoan	D055	363	0.0	110,141	0.0
....Other Pacific Islander	D056	516	0.1	233,891	0.1
...Some other race	D057	143,667	14.5	16,783,914	5.1
..Two or more races	D058	84,357	8.5	16,875,542	5.2
...White and Black or African American	D059	7,588	0.8	3,295,021	1.0
...White and American Indian and Alaska Native	D060	8,334	0.8	1,994,147	0.6
...White and Asian	D061	9,459	1.0	2,466,289	0.8
...Black or African American and American Indian and Alaska Native	D062	699	0.1	297,898	0.1
Race alone or in combination with one or more other races
.Total population	D063	990,204	100.0	326,569,308	100.0
..White	D064	674,244	68.1	245,105,778	75.1
..Black or African American	D065	58,708	5.9	46,273,733	14.2
..American Indian and Alaska Native	D066	24,778	2.5	5,779,818	1.8
..Asian	D067	120,827	12.2	22,193,536	6.8
..Native Hawaiian and Other Pacific Islander	D068	4,544	0.5	1,441,525	0.4
..Some other race	D069	196,626	19.9	24,041,125	7.4
HISPANIC OR LATINO AND RACE
.Total population	D070	990,204	100.0	326,569,308	100.0
..Hispanic or Latino (of any race)	D071	528,293	53.4	59,361,020	18.2
...Mexican	D072	487,946	49.3	36,537,028	11.2
...Puerto Rican	D073	3,794	0.4	5,699,150	1.7
...Cuban	D074	1,292	0.1	2,332,584	0.7
...Other Hispanic or Latino	D075	35,261	3.6	14,792,258	4.5
..Not Hispanic or Latino	D076	461,911	46.6	267,208,288	81.8
...White alone	D077	284,169	28.7	196,251,375	60.1
...Black or African American alone	D078	43,660	4.4	39,994,653	12.2
...American Indian and Alaska Native alone	D079	4,459	0.5	2,075,852	0.6
...Asian alone	D080	102,986	10.4	18,184,182	5.6
...Native Hawaiian and Other Pacific Islander alone	D081	1,305	0.1	550,080	0.2
...Some other race alone	D082	1,979	0.2	1,017,604	0.3
...Two or more races	D083	23,353	2.4	9,134,542	2.8
....Two races including Some other race	D084	1,564	0.2	827,762	0.3
....Two races excluding Some other race, and Three or more races	D085	21,789	2.2	8,306,780	2.5
.Total housing units	D086	333,357	100.0	138,432,751	100.0
CITIZEN, VOTING AGE POPULATION
.Citizen, 18 and over population	D087	603,614	100.0	233,440,758	100.0
..Male	D088	293,711	48.7	113,241,206	48.5
..Female	D089	309,903	51.3	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	310,097	100.0	122,354,219	100.0
..Married-couple family	S002	146,731	47.3	58,807,003	48.1
...With own children of the householder under 18 years	S003	-1		-1
..Cohabiting couple household	S004	25,602	8.3	7,958,647	6.5
...With own children of the householder under 18 years	S005	-1		-1
..Male householder, no spouse/partner present	S006	52,672	17.0	21,780,170	17.8
...With own children of the householder under 18 years	S007	-1		-1
...Householder living alone	S008	31,187	10.1	15,296,800	12.5
....65 years and over	S009	9,930	3.2	4,441,899	3.6
..Female householder, no spouse/partner present	S010	85,092	27.4	33,808,399	27.6
...With own children of the householder under 18 years	S011	-1		-1
...Householder living alone	S012	37,584	12.1	18,957,732	15.5
....65 years and over	S013	19,894	6.4	9,335,513	7.6
..Households with one or more people under 18 years	S014	126,059	40.7	37,598,741	30.7
..Households with one or more people 65 years and over	S015	85,106	27.4	36,861,827	30.1
..Average household size	S016	3.14		2.60
..Average family size	S017	3.69		3.21
RELATIONSHIP
.Population in households	S018	973,349	100.0	318,495,974	100.0
..Householder	S019	310,097	31.9	122,354,219	38.4
..Spouse	S020	146,655	15.1	58,717,034	18.4
..Unmarried partner	S021	25,765	2.6	8,048,864	2.5
..Child	S022	353,587	36.3	94,445,052	29.7
..Other relatives	S023	103,278	10.6	23,202,220	7.3
..Other nonrelatives	S024	33,967	3.5	11,728,585	3.7
MARITAL STATUS
.Males 15 years and over	S025	373,245	100.0	129,777,799	100.0
..Never married	S026	157,055	42.1	47,510,293	36.6
..Now married, except separated	S027	170,709	45.7	64,543,861	49.7
..Separated	S028	8,504	2.3	2,052,984	1.6
..Widowed	S029	8,207	2.2	3,408,813	2.6
..Divorced	S030	28,770	7.7	12,261,848	9.4
.Females 15 years and over	S031	380,528	100.0	136,054,368	100.0
..Never married	S032	133,265	35.0	41,518,358	30.5
..Now married, except separated	S033	164,891	43.3	63,348,809	46.6
..Separated	S034	12,530	3.3	2,859,442	2.1
..Widowed	S035	28,609	7.5	11,821,660	8.7
..Divorced	S036	41,233	10.8	16,506,099	12.1
FERTILITY
.Number of women 15 to 50 years old who had a birth in the past 12 months	S037	13,979	100.0	3,982,654	100.0
..Unmarried women (widowed, divorced, and never married)	S038	5,486	39.2	1,308,199	32.8
...Per 1,000 unmarried women	S039	39	-1.0	30	-1.0
..Per 1,000 women 15 to 50 years old	S040	58	-1.0	52	-1.0
..Per 1,000 women 15 to 19 years old	S041	13	-1.0	11	-1.0
..Per 1,000 women 20 to 34 years old	S042	98	-1.0	87	-1.0
..Per 1,000 women 35 to 50 years old	S043	30	-1.0	30	-1.0
GRANDPARENTS
.Number of grandparents living with own grandchildren under 18 years	S044	31,440	100.0	7,187,524	100.0
..Grandparents responsible for grandchildren	S045	8,362	26.6	2,400,774	33.4
..Years responsible for grandchildren
...Less than 1 year	S046	1,532	4.9	427,836	6.0
...1 or 2 years	S047	2,286	7.3	495,453	6.9
...3 or 4 years	S048	1,212	3.9	391,577	5.4
...5 or more years	S049	3,332	10.6	1,085,908	15.1
.Number of grandparents responsible for own grandchildren under 18 years	S050	8,362	100.0	2,400,774	100.0
..Who are female	S051	5,332	63.8	1,518,284	63.2
..Who are married	S052	5,748	68.7	1,646,934	68.6
SCHOOL ENROLLMENT
.Population 3 years and over enrolled in school	S053	296,119	100.0	80,497,960	100.0
..Nursery school, preschool	S054	15,499	5.2	4,879,858	6.1
..Kindergarten	S055	18,086	6.1	4,003,118	5.0
..Elementary school (grades 1-8)	S056	125,321	42.3	32,506,623	40.4
..High school (grades 9-12)	S057	62,821	21.2	16,879,255	21.0
..College or graduate school	S058	74,392	25.1	22,229,106	27.6
EDUCATIONAL ATTAINMENT
.Population 25 years and over	S059	610,927	100.0	222,836,834	100.0
..Less than 9th grade	S060	78,084	12.8	10,923,030	4.9
..9th to 12th grade, no diploma	S061	60,730	9.9	14,639,650	6.6
..High school graduate (includes equivalency)	S062	138,139	22.6	59,421,419	26.7
..Some college, no degree	S063	143,654	23.5	45,242,162	20.3
..Associate's degree	S064	55,709	9.1	19,254,254	8.6
..Bachelor's degree	S065	89,315	14.6	45,034,610	20.2
..Graduate or professional degree	S066	45,296	7.4	28,321,709	12.7
..High school graduate or higher	S067	472,113	77.3	197,274,154	88.5
..Bachelor's degree or higher	S068	134,611	22.0	73,356,319	32.9
VETERAN STATUS
.Civilian population 18 years and over	S069	707,748	100.0	252,130,477	100.0
..Civilian veterans	S070	36,307	5.1	17,835,456	7.1
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION
.Total Civilian Noninstitutionalized Population	S071	978,588	100.0	321,525,041	100.0
..With a disability	S072	127,456	13.0	40,786,461	12.7
.Under 18 years	S073	281,079	100.0	73,163,121	100.0
..With a disability	S074	11,701	4.2	3,166,556	4.3
.18 to 64 years	S075	578,914	100.0	197,289,696	100.0
..With a disability	S076	66,438	11.5	20,231,217	10.3
.65 years and over	S077	118,595	100.0	51,072,224	100.0
..With a disability	S078	49,317	41.6	17,388,688	34.0
RESIDENCE 1 YEAR AGO
.Population 1 year and over	S079	977,343	100.0	322,943,283	100.0
..Same house	S080	850,945	87.1	278,285,887	86.2
..Different house in the U.S. or abroad	S081	126,398	12.9	44,657,396	13.8
..Different house in the U.S.	S082	122,022	12.5	42,714,733	13.2
...Same county	S083	93,161	9.5	24,840,584	7.7
...Different county	S084	28,861	3.0	17,874,149	5.5
....Same state	S085	21,808	2.2	10,445,339	3.2
....Different state	S086	7,053	0.7	7,428,810	2.3
..Abroad	S087	4,376	0.4	1,942,663	0.6
PLACE OF BIRTH
.Total population	S088	990,204	100.0	326,569,308	100.0
..Native	S089	788,399	79.6	282,443,680	86.5
...Born in United States	S090	778,884	78.7	277,155,748	84.9
....State of residence	S091	676,030	68.3	189,976,546	58.2
....Different state	S092	102,854	10.4	87,179,202	26.7
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s)	S093	9,515	1.0	5,287,932	1.6
..Foreign born	S094	201,805	20.4	44,125,628	13.5
U.S. CITIZENSHIP STATUS
.Foreign-born population	S095	201,805	100.0	44,125,628	100.0
..Naturalized U.S. citizen	S096	87,984	43.6	22,456,684	50.9
..Not a U.S. citizen	S097	113,821	56.4	21,668,944	49.1
YEAR OF ENTRY
.Population born outside the United States	S098	211,320	100.0	49,413,560	100.0
..Native	S099	9,515	100.0	5,287,932	100.0
...Entered 2010 or later	S100	2,793	29.4	1,258,153	23.8
...Entered before 2010	S101	6,722	70.6	4,029,779	76.2
..Foreign born	S102	201,805	100.0	44,125,628	100.0
...Entered 2010 or later	S103	30,902	15.3	10,044,458	22.8
...Entered before 2010	S104	170,903	84.7	34,081,170	77.2
WORLD REGION OF BIRTH OF FOREIGN BORN
.Foreign-born population, excluding population born at sea	S105	201,805	100.0	44,125,120	100.0
..Europe	S106	5,696	2.8	4,784,383	10.8
..Asia	S107	58,734	29.1	13,794,873	31.3
..Africa	S108	2,445	1.2	2,362,292	5.4
..Oceania	S109	580	0.3	283,505	0.6
..Latin America	S110	132,921	65.9	22,073,519	50.0
..Northern America	S111	1,429	0.7	826,548	1.9
LANGUAGE SPOKEN AT HOME
.Population 5 years and over	S112	913,840	100.0	306,919,116	100.0
..English only	S113	509,668	55.8	240,826,040	78.5
..Language other than English	S114	404,172	44.2	66,093,076	21.5
...Speak English less than very well	S115	166,952	18.3	25,312,024	8.2
..Spanish	S116	311,415	34.1	40,537,337	13.2
...Speak English less than very well	S117	128,794	14.1	15,949,582	5.2
..Other Indo-European languages	S118	29,828	3.3	11,270,634	3.7
...Speak English less than very well	S119	12,362	1.4	3,422,525	1.1
..Asian and Pacific Islander languages	S120	55,577	6.1	10,800,470	3.5
...Speak English less than very well	S121	22,337	2.4	4,886,876	1.6
..Other languages	S122	7,352	0.8	3,484,635	1.1
...Speak English less than very well	S123	3,459	0.4	1,053,041	0.3
ANCESTRY
.Total population	S124	990,204	100.0	326,569,308	100.0
..American	S125	14,678	1.5	19,364,103	5.9
..Arab	S126	7,504	0.8	2,056,594	0.6
..Czech	S127	1,263	0.1	1,329,130	0.4
..Danish	S128	5,053	0.5	1,244,498	0.4
..Dutch	S129	7,236	0.7	3,692,889	1.1
..English	S130	43,380	4.4	25,213,619	7.7
..French (except Basque)	S131	11,411	1.2	7,374,976	2.3
..French Canadian	S132	1,008	0.1	1,998,012	0.6
..German	S133	67,872	6.9	42,589,571	13.0
..Greek	S134	2,281	0.2	1,249,194	0.4
..Hungarian	S135	1,184	0.1	1,348,198	0.4
..Irish	S136	47,118	4.8	31,518,129	9.7
..Italian	S137	25,177	2.5	16,549,022	5.1
..Lithuanian	S138	239	0.0	626,937	0.2
..Norwegian	S139	5,598	0.6	4,289,825	1.3
..Polish	S140	3,889	0.4	8,936,002	2.7
..Portuguese	S141	11,599	1.2	1,363,964	0.4
..Russian	S142	3,585	0.4	2,538,436	0.8
..Scotch-Irish	S143	4,944	0.5	2,937,156	0.9
..Scottish	S144	8,400	0.8	5,298,861	1.6
..Slovak	S145	104	0.0	658,740	0.2
..Subsaharan African	S146	4,399	0.4	3,809,930	1.2
..Swedish	S147	7,663	0.8	3,627,796	1.1
..Swiss	S148	1,549	0.2	908,570	0.3
..Ukrainian	S149	1,002	0.1	1,015,209	0.3
..Welsh	S150	2,521	0.3	1,851,256	0.6
..West Indian (excluding Hispanic origin groups)	S151	756	0.1	3,008,035	0.9
COMPUTERS AND INTERNET USE
.Total households	S152	310,097	100.0	122,354,219	100.0
..With a computer	S153	282,462	91.1	112,398,526	91.9
..With a broadband Internet subscription	S154	256,197	82.6	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	738,854	100.0	261,649,873	100.0
..In labor force	E002	449,387	60.8	165,902,838	63.4
...Civilian labor force	E003	448,322	60.7	164,759,496	63.0
....Employed	E004	408,625	55.3	155,888,980	59.6
....Unemployed	E005	39,697	5.4	8,870,516	3.4
...Armed Forces	E006	1,065	0.1	1,143,342	0.4
..Not in labor force	E007	289,467	39.2	95,747,035	36.6
.Civilian labor force	E008	448,322	100.0	164,759,496	100.0
..Unemployment Rate	E009	8.90		5.40
.Females 16 years and over	E010	372,993	100.0	134,001,493	100.0
..In labor force	E011	206,316	55.3	78,484,558	58.6
...Civilian labor force	E012	206,165	55.3	78,314,931	58.4
....Employed	E013	187,389	50.2	74,173,483	55.4
.Own children of the householder under 6 years	E014	88,232	100.0	22,558,766	100.0
..All parents in family in labor force	E015	53,197	60.3	15,045,945	66.7
.Own children of the householder 6 to 17 years	E016	179,824	100.0	46,908,286	100.0
..All parents in family in labor force	E017	119,868	66.7	33,697,040	71.8
COMMUTING TO WORK
.Workers 16 years and over	E018	397,002	100.0	153,665,654	100.0
..Car, truck, or van -- drove alone	E019	310,969	78.3	115,127,720	74.9
..Car, truck, or van -- carpooled	E020	47,306	11.9	13,605,122	8.9
..Public transportation (excluding taxicab)	E021	3,740	0.9	7,044,886	4.6
..Walked	E022	6,136	1.5	3,954,692	2.6
..Other means	E023	6,485	1.6	2,780,139	1.8
..Worked from home	E024	22,366	5.6	11,153,095	7.3
..Mean travel time to work (minutes)	E025	23.30		26.90
OCCUPATION
.Civilian employed population 16 years and over	E026	408,625	100.0	155,888,980	100.0
..Management, business, science, and arts occupations	E027	127,355	31.2	61,526,906	39.5
..Service occupations	E028	79,821	19.5	27,095,654	17.4
..Sales and office occupations	E029	85,799	21.0	33,247,878	21.3
..Natural resources, construction, and maintenance occupations	E030	58,938	14.4	13,620,436	8.7
..Production, transportation, and material moving occupations	E031	56,712	13.9	20,398,106	13.1
INDUSTRY
.Civilian employed population 16 years and over	E032	408,625	100.0	155,888,980	100.0
..Agriculture, forestry, fishing and hunting, and mining	E033	36,163	8.8	2,658,413	1.7
..Construction	E034	24,099	5.9	10,416,196	6.7
..Manufacturing	E035	27,511	6.7	15,617,461	10.0
..Wholesale trade	E036	13,965	3.4	3,971,773	2.5
..Retail trade	E037	43,380	10.6	17,195,083	11.0
..Transportation and warehousing, and utilities	E038	23,462	5.7	8,576,862	5.5
..Information	E039	5,129	1.3	3,066,743	2.0
..Finance and insurance, and real estate and rental and leasing	E040	18,509	4.5	10,319,201	6.6
..Professional, scientific, and management, and administrative and waste management services	E041	37,345	9.1	18,312,454	11.7
..Educational services, and health care and social assistance	E042	100,999	24.7	36,315,080	23.3
..Arts, entertainment, and recreation, and accommodation and food services	E043	33,497	8.2	14,651,909	9.4
..Other services, except public administration	E044	19,527	4.8	7,516,616	4.8
..Public administration	E045	25,039	6.1	7,271,189	4.7
CLASS OF WORKER
.Civilian employed population 16 years and over	E046	408,625	100.0	155,888,980	100.0
..Private wage and salary workers	E047	307,613	75.3	124,611,544	79.9
..Government workers	E048	75,274	18.4	21,743,101	13.9
..Self-employed in own not incorporated business workers	E049	24,888	6.1	9,243,835	5.9
..Unpaid family workers	E050	850	0.2	290,500	0.2
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS)
.Total households	E051	310,097	100.0	122,354,219	100.0
..Less than $10,000	E052	20,530	6.6	7,145,751	5.8
..$10,000 to $14,999	E053	17,151	5.5	5,020,097	4.1
..$15,000 to $24,999	E054	32,392	10.4	10,359,700	8.5
..$25,000 to $34,999	E055	29,941	9.7	10,569,484	8.6
..$35,000 to $49,999	E056	38,321	12.4	14,690,382	12.0
..$50,000 to $74,999	E057	53,158	17.1	21,034,779	17.2
..$75,000 to $99,999	E058	37,369	12.1	15,613,243	12.8
..$100,000 to $149,999	E059	44,083	14.2	19,128,938	15.6
..$150,000 to $199,999	E060	19,388	6.3	8,688,154	7.1
..$200,000 or more	E061	17,764	5.7	10,103,691	8.3
..Median household income (dollars)	E062	57,109		64,994
..Mean household income (dollars)	E063	79,175		91,547
..With earnings	E064	245,547	79.2	95,088,085	77.7
...Mean earnings (dollars)	E065	79,651		93,265
..With Social Security	E066	84,101	27.1	38,442,718	31.4
...Mean Social Security income (dollars)	E067	17,874		20,126
..With retirement income	E068	55,057	17.8	25,872,444	21.1
...Mean retirement income (dollars)	E069	30,514		28,376
..With Supplemental Security Income	E070	26,206	8.5	6,403,843	5.2
...Mean Supplemental Security Income (dollars)	E071	9,669		10,115
..With cash public assistance income	E072	21,347	6.9	2,995,159	2.4
...Mean cash public assistance income (dollars)	E073	4,138		3,271
..With Food Stamp/SNAP benefits in the past 12 months	E074	58,398	18.8	13,892,407	11.4
.Families	E075	224,051	100.0	79,849,830	100.0
..Less than $10,000	E076	12,635	5.6	2,784,559	3.5
..$10,000 to $14,999	E077	8,082	3.6	1,737,891	2.2
..$15,000 to $24,999	E078	19,916	8.9	4,608,727	5.8
..$25,000 to $34,999	E079	20,461	9.1	5,671,464	7.1
..$35,000 to $49,999	E080	28,052	12.5	8,744,513	11.0
..$50,000 to $74,999	E081	38,654	17.3	13,857,979	17.4
..$75,000 to $99,999	E082	28,907	12.9	11,445,632	14.3
..$100,000 to $149,999	E083	35,063	15.6	15,185,857	19.0
..$150,000 to $199,999	E084	16,506	7.4	7,235,024	9.1
..$200,000 or more	E085	15,775	7.0	8,578,184	10.7
..Median family income (dollars)	E086	64,036		80,069
..Mean family income (dollars)	E087	87,344		107,335
.Per capita income (dollars)	E088	25,757		35,384
.Nonfamily households	E089	86,046	100.0	42,504,389	100.0
..Median nonfamily income (dollars)	E090	33,442		39,027
..Mean nonfamily income (dollars)	E091	50,515		57,648
.Median earnings for workers (dollars)	E092	30,630		36,280
.Median earnings for male full-time, year-round workers (dollars)	E093	46,493		54,323
.Median earnings for female full-time, year-round workers (dollars)	E094	41,462		44,220
HEALTH INSURANCE COVERAGE
.Civilian noninstitutionalized population	E095	978,588	100.0	321,525,041	100.0
..With health insurance coverage	E096	902,286	92.2	293,466,138	91.3
...With private health insurance	E097	525,625	53.7	218,830,578	68.1
...With public coverage	E098	479,450	49.0	113,410,193	35.3
..No health insurance coverage	E099	76,302	7.8	28,058,903	8.7
.Civilian noninstitutionalized population under 19 years	E100	295,512	100.0	77,582,280	100.0
..No health insurance coverage	E101	8,611	2.9	4,016,835	5.2
.Civilian noninstitutionalized population 19 to 64 years	E102	564,481	100.0	192,870,537	100.0
..In labor force:	E103	418,025	100.0	150,997,488	100.0
...Employed:	E104	382,434	100.0	143,214,283	100.0
....With health insurance coverage	E105	341,501	89.3	127,785,204	89.2
.....With private health insurance	E106	268,277	70.1	116,559,349	81.4
.....With public coverage	E107	88,714	23.2	15,001,155	10.5
....No health insurance coverage	E108	40,933	10.7	15,429,079	10.8
...Unemployed:	E109	35,591	100.0	7,783,205	100.0
....With health insurance coverage	E110	28,877	81.1	5,696,312	73.2
.....With private health insurance	E111	9,727	27.3	3,265,196	42.0
.....With public coverage	E112	20,161	56.6	2,677,987	34.4
....No health insurance coverage	E113	6,714	18.9	2,086,893	26.8
..Not in labor force:	E114	146,456	100.0	41,873,049	100.0
...With health insurance coverage	E115	128,015	87.4	35,748,538	85.4
....With private health insurance	E116	52,595	35.9	21,659,932	51.7
....With public coverage	E117	84,263	57.5	17,036,758	40.7
...No health insurance coverage	E118	18,441	12.6	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	16.7		9.1
..With related children of the householder under 18 years	E120	24.4		14.3
...With related children of the householder under 5 years only	E121	23.7		13.5
..Married couple families	E122	10.0		4.6
...With related children of the householder under 18 years	E123	14.4		6.2
....With related children of the householder under 5 years only	E124	12.0		4.8
..Families with female householder, no spouse present	E125	34.0		25.1
...With related children of the householder under 18 years	E126	44.3		34.4
....With related children of the householder under 5 years only	E127	50.6		38.8
.All people	E128	20.8		12.8
..Under 18 years	E129	29.5		17.5
...Related children of the householder under 18 years	E130	29.3		17.2
....Related children of the householder under 5 years	E131	33.3		19.1
....Related children of the householder 5 to 17 years	E132	27.8		16.4
..18 years and over	E133	17.3		11.5
...18 to 64 years	E134	18.1		12.1
...65 years and over	E135	13.5		9.3
..People in families	E136	18.9		10.1
..Unrelated individuals 15 years and over	E137	31.8		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 October 2022; next update December 26, 2022 (November 2022 data). Table below saved as c:\dede\1\06019bp.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	244	163	161	117	127	285	265	304	330	251	170	238
Single Family, Units	244	163	161	117	127	285	265	304	330	251	170	238
Single Family, Value	73,445	48,179	47,013	33,656	41,098	85,441	79,086	95,544	100,883	81,546	51,056	73,466
2 Unit, Buildings	0	3	4	4	0	3	3	3	3	3	4	3
2 Unit, Units	0	6	8	8	0	6	6	6	6	6	8	6
2 Unit, Value	0	1,293	1,195	984	0	1,041	1,041	1,041	1,041	1,041	1,388	1,041
3-4 Unit, Buildings	0	0	4	3	0	0	0	0	0	0	0	6
3-4 Unit, Units	0	0	16	12	0	0	0	0	0	0	0	18
3-4 Unit, Value	0	0	1,398	1,641	0	0	0	0	0	0	0	1,148
5+ Unit, Buildings	0	4	6	0	0	6	3	5	4	5	6	8
5+ Unit, Units	0	22	66	0	0	45	29	25	25	27	31	68
5+ Unit, Value	0	2,309	6,597	0	0	6,592	3,639	3,137	3,137	3,375	3,877	9,151

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	217	239	339	278	235	266	185	261	238	152	131	240
Single Family, Units	217	239	339	278	235	266	185	261	238	152	131	240
Single Family, Value	66,602	73,384	100,169	84,071	71,906	80,889	55,949	79,249	70,931	50,849	43,894	73,222
2 Unit, Buildings	3	2	4	3	4	4	3	3	3	3	3	3
2 Unit, Units	6	4	8	6	8	8	6	6	6	6	6	6
2 Unit, Value	1,041	694	1,388	838	1,117	1,117	838	838	838	838	838	838
3-4 Unit, Buildings	7	5	0	1	1	2	0	1	1	1	0	1
3-4 Unit, Units	21	15	0	3	4	7	0	3	4	3	0	3
3-4 Unit, Value	1,339	957	0	225	300	710	0	225	300	396	0	225
5+ Unit, Buildings	7	7	5	4	3	5	3	5	4	7	11	5
5+ Unit, Units	60	49	41	38	32	37	35	45	34	48	110	56
5+ Unit, Value	8,014	6,519	5,129	5,204	4,382	5,066	4,826	6,159	4,652	6,698	20,607	7,665

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	253	213	343	281	273	138	120	97	234	178	0	0
Single Family, Units	253	213	343	281	273	138	120	97	234	178	0	0
Single Family, Value	75,451	61,134	104,551	82,047	78,302	46,872	31,010	30,132	78,779	49,377	0	0
2 Unit, Buildings	3	0	0	1	1	1	0	0	0	0	0	0
2 Unit, Units	6	0	0	2	2	2	0	0	0	0	0	0
2 Unit, Value	838	0	0	324	324	250	0	0	0	0	0	0
3-4 Unit, Buildings	2	2	1	1	6	1	0	0	0	1	0	0
3-4 Unit, Units	6	7	4	4	24	3	0	0	0	4	0	0
3-4 Unit, Value	635	825	300	770	3,000	1,000	0	0	0	1,000	0	0
5+ Unit, Buildings	4	1	6	8	3	10	3	21	0	3	0	0
5+ Unit, Units	36	7	81	88	20	85	22	178	0	98	0	0
5+ Unit, Value	4,928	929	17,148	11,855	2,845	13,359	3,304	17,900	0	11,795	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	2,053	2,553	1,796	2,213	2,441	2,663	3,369
Single Family, Units	2,053	2,553	1,796	2,213	2,441	2,663	3,369
Single Family, Value	557,424	696,087	496,255	632,757	741,858	800,644	950,006
2 Unit, Buildings	2	15	47	24	30	34	9
2 Unit, Units	4	30	94	48	60	68	18
2 Unit, Value	507	4,195	19,136	9,755	10,407	9,392	2,915
3-4 Unit, Buildings	1	12	6	10	70	13	15
3-4 Unit, Units	3	45	18	35	213	46	53
3-4 Unit, Value	221	7,422	746	3,091	13,827	4,187	10,018
5+ Unit, Buildings	24	33	107	61	76	37	42
5+ Unit, Units	262	276	1,025	633	679	353	462
5+ Unit, Value	23,624	21,459	111,175	58,550	90,666	48,331	63,981

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	333,357	100.0	138,432,751	100.0
..Occupied housing units	H002	310,097	93.0	122,354,219	88.4
..Vacant housing units	H003	23,260	7.0	16,078,532	11.6
..Homeowner vacancy rate	H004	1.30		1.40
..Rental vacancy rate	H005	3.20		5.80
UNITS IN STRUCTURE
.Total housing units	H006	333,357	100.0	138,432,751	100.0
..1-unit, detached	H007	227,508	68.2	85,438,643	61.7
..1-unit, attached	H008	7,635	2.3	8,222,495	5.9
..2 units	H009	8,390	2.5	4,868,926	3.5
..3 or 4 units	H010	25,755	7.7	5,989,331	4.3
..5 to 9 units	H011	23,054	6.9	6,398,241	4.6
..10 to 19 units	H012	9,565	2.9	5,988,959	4.3
..20 or more units	H013	18,507	5.6	13,018,590	9.4
..Mobile home	H014	12,429	3.7	8,374,539	6.0
..Boat, RV, van, etc.	H015	514	0.2	133,027	0.1
YEAR STRUCTURE BUILT
.Total housing units	H016	333,357	100.0	138,432,751	100.0
..Built 2014 or later	H017	10,278	3.1	4,826,244	3.5
..Built 2010 to 2013	H018	9,476	2.8	3,772,330	2.7
..Built 2000 to 2009	H019	47,793	14.3	18,872,283	13.6
..Built 1990 to 1999	H020	49,797	14.9	19,229,676	13.9
..Built 1980 to 1989	H021	46,265	13.9	18,484,475	13.4
..Built 1970 to 1979	H022	59,023	17.7	20,811,073	15.0
..Built 1960 to 1969	H023	35,827	10.7	14,506,264	10.5
..Built 1950 to 1959	H024	38,237	11.5	14,087,506	10.2
..Built 1940 to 1949	H025	17,149	5.1	6,658,408	4.8
..Built 1939 or earlier	H026	19,512	5.9	17,184,492	12.4
ROOMS
.Total housing units	H027	333,357	100.0	138,432,751	100.0
..1 room	H028	14,719	4.4	3,250,217	2.3
..2 rooms	H029	7,480	2.2	3,910,325	2.8
..3 rooms	H030	27,494	8.2	12,459,781	9.0
..4 rooms	H031	62,576	18.8	22,231,547	16.1
..5 rooms	H032	77,679	23.3	26,672,922	19.3
..6 rooms	H033	66,059	19.8	24,582,222	17.8
..7 rooms	H034	35,897	10.8	16,793,623	12.1
..8 rooms	H035	21,724	6.5	12,195,373	8.8
..9 rooms or more	H036	19,729	5.9	16,336,741	11.8
..Median rooms	H037	5.2		5.5
BEDROOMS
.Total housing units	H038	333,357	100.0	138,432,751	100.0
..No bedroom	H039	15,364	4.6	3,588,040	2.6
..1 bedroom	H040	25,808	7.7	14,957,832	10.8
..2 bedrooms	H041	81,455	24.4	35,542,796	25.7
..3 bedrooms	H042	142,098	42.6	54,448,649	39.3
..4 bedrooms	H043	57,157	17.1	23,528,958	17.0
..5 or more bedrooms	H044	11,475	3.4	6,366,476	4.6
HOUSING TENURE
.Occupied housing units	H045	310,097	100.0	122,354,219	100.0
..Owner-occupied	H046	166,420	53.7	78,801,376	64.4
..Renter-occupied	H047	143,677	46.3	43,552,843	35.6
..Average household size of owner-occupied unit	H048	3.16		2.69
..Average household size of renter-occupied unit	H049	3.12		2.45
YEAR HOUSEHOLDER MOVED INTO UNIT
.Occupied housing units	H050	310,097	100.0	122,354,219	100.0
..Moved in 2017 or later	H051	13,043	4.2	5,926,790	4.8
..Moved in 2015 to 2016	H052	96,440	31.1	34,811,034	28.5
..Moved in 2010 to 2014	H053	69,050	22.3	24,361,511	19.9
..Moved in 2000 to 2009	H054	66,400	21.4	27,220,198	22.2
..Moved in 1990 to 1999	H055	34,886	11.3	14,760,836	12.1
..Moved in 1989 and earlier	H056	30,278	9.8	15,273,850	12.5
VEHICLES AVAILABLE
.Occupied housing units	H057	310,097	100.0	122,354,219	100.0
..No vehicles available	H058	24,446	7.9	10,344,521	8.5
..1 vehicle available	H059	97,891	31.6	39,756,914	32.5
..2 vehicles available	H060	113,706	36.7	45,389,464	37.1
..3 or more vehicles available	H061	74,054	23.9	26,863,320	22.0
HOUSE HEATING FUEL
.Occupied housing units	H062	310,097	100.0	122,354,219	100.0
..Utility gas	H063	173,187	55.8	58,269,718	47.6
..Bottled, tank, or LP gas	H064	14,693	4.7	5,925,357	4.8
..Electricity	H065	106,701	34.4	48,141,177	39.3
..Fuel oil, kerosene, etc.	H066	612	0.2	5,599,403	4.6
..Coal or coke	H067	0	100.0	114,177	100.0
..Wood	H068	4,088	1.3	2,075,845	1.7
..Solar energy	H069	5,637	1.8	222,369	0.2
..Other fuel	H070	2,354	0.8	600,652	0.5
..No fuel used	H071	2,825	0.9	1,405,521	1.1
SELECTED CHARACTERISTICS
.Occupied housing units	H072	310,097	100.0	122,354,219	100.0
..Lacking complete plumbing facilities	H073	1,077	0.3	460,275	0.4
..Lacking complete kitchen facilities	H074	2,744	0.9	1,016,528	0.8
..No telephone service available	H075	5,684	1.8	1,976,696	1.6
OCCUPANTS PER ROOM
.Occupied housing units	H076	310,097	100.0	122,354,219	100.0
..1.00 or less	H077	280,192	90.4	118,293,570	96.7
..1.01 to 1.50	H078	18,892	6.1	2,722,626	2.2
..1.51 or more	H079	11,013	3.6	1,338,023	1.1
VALUE
.Owner-occupied units	H080	166,420	100.0	78,801,376	100.0
..Less than $50,000	H081	5,845	3.5	5,172,474	6.6
..$50,000 to $99,999	H082	6,420	3.9	8,698,428	11.0
..$100,000 to $149,999	H083	12,463	7.5	9,730,077	12.3
..$150,000 to $199,999	H084	21,996	13.2	10,727,302	13.6
..$200,000 to $299,999	H085	51,168	30.7	15,730,458	20.0
..$300,000 to $499,999	H086	50,293	30.2	16,173,336	20.5
..$500,000 to $999,999	H087	15,276	9.2	9,682,662	12.3
..$1,000,000 or more	H088	2,959	1.8	2,886,639	3.7
..Median (dollars)	H089	271,000		229,800
MORTGAGE STATUS
.Owner-occupied units	H090	166,420	100.0	78,801,376	100.0
..Housing units with a mortgage	H091	115,553	69.4	48,974,364	62.1
..Housing units without a mortgage	H092	50,867	30.6	29,827,012	37.9
SELECTED MONTHLY OWNER COSTS (SMOC)
.Housing units with a mortgage	H093	115,553	100.0	48,974,364	100.0
..Less than $500	H094	922	0.8	568,141	1.2
..$500 to $999	H095	13,160	11.4	8,020,937	16.4
..$1,000 to $1,499	H096	32,616	28.2	13,146,307	26.8
..$1,500 to $1,999	H097	31,122	26.9	10,324,027	21.1
..$2,000 to $2,499	H098	19,792	17.1	6,485,860	13.2
..$2,500 to $2,999	H099	8,827	7.6	3,999,769	8.2
..$3,000 or more	H100	9,114	7.9	6,429,323	13.1
..Median (dollars)	H101	1,660		1,621
.Housing units without a mortgage	H102	50,867	100.0	29,827,012	100.0
..Less than $250	H103	5,303	10.4	3,317,647	11.1
..$250 to $399	H104	12,642	24.9	6,680,713	22.4
..$400 to $599	H105	14,840	29.2	8,428,059	28.3
..$600 to $799	H106	9,363	18.4	5,014,006	16.8
..$800 to $999	H107	4,922	9.7	2,660,659	8.9
..$1,000 or more	H108	3,797	7.5	3,725,928	12.5
..Median (dollars)	H109	499		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	115,022	100.0	48,744,731	100.0
..Less than 20.0 percent	H111	47,018	40.9	22,762,635	46.7
..20.0 to 24.9 percent	H112	18,067	15.7	7,593,802	15.6
..25.0 to 29.9 percent	H113	14,304	12.4	5,044,205	10.3
..30.0 to 34.9 percent	H114	8,724	7.6	3,314,853	6.8
..35.0 percent or more	H115	26,909	23.4	10,029,236	20.6
..Not computed	H116	531	-1.0	229,633	-1.0
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed)	H117	50,201	100.0	29,428,138	100.0
..Less than 10.0 percent	H118	25,390	50.6	13,449,955	45.7
..10.0 to 14.9 percent	H119	8,743	17.4	5,686,876	19.3
..15.0 to 19.9 percent	H120	4,930	9.8	3,208,798	10.9
..20.0 to 24.9 percent	H121	2,544	5.1	1,935,622	6.6
..25.0 to 29.9 percent	H122	1,881	3.7	1,248,280	4.2
..30.0 to 34.9 percent	H123	1,679	3.3	834,409	2.8
..35.0 percent or more	H124	5,034	10.0	3,064,198	10.4
..Not computed	H125	666	-1.0	398,874	-1.0
GROSS RENT
.Occupied units paying rent	H126	137,835	100.0	41,390,514	100.0
..Less than $500	H127	11,242	8.2	3,679,331	8.9
..$500 to $999	H128	54,062	39.2	14,206,622	34.3
..$1,000 to $1,499	H129	47,740	34.6	12,515,982	30.2
..$1,500 to $1,999	H130	17,631	12.8	6,187,736	14.9
..$2,000 to $2,499	H131	4,966	3.6	2,558,549	6.2
..$2,500 to $2,999	H132	1,119	0.8	1,088,264	2.6
..$3,000 or more	H133	1,075	0.8	1,154,030	2.8
..Median (dollars)	H134	1,029		1,096
..No rent paid	H135	5,842	-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	134,955	100.0	40,484,226	100.0
..Less than 15.0 percent	H137	14,861	11.0	5,405,002	13.4
..15.0 to 19.9 percent	H138	14,811	11.0	5,254,304	13.0
..20.0 to 24.9 percent	H139	15,455	11.5	5,227,400	12.9
..25.0 to 29.9 percent	H140	14,469	10.7	4,711,468	11.6
..30.0 to 34.9 percent	H141	12,712	9.4	3,679,430	9.1
..35.0 percent or more	H142	62,647	46.4	16,206,622	40.0
..Not computed	H143	8,722	-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	38,981	100.0	402,095	100.0	5,131,632,649	100.0	982
Total, Federal	10	1	95	0.2	9,477	2.4	161,284,477	3.1	1,309
Total, State	10	2	488	1.3	11,412	2.8	211,594,031	4.1	1,426
Total, Local	10	3	789	2.0	50,746	12.6	784,223,975	15.3	1,189
Total, Private	10	5	37,609	96.5	330,461	82.2	3,974,530,166	77.5	925
Agriculture, forestry, fishing and hunting	11	5	1,463	3.8	35,438	8.8	337,192,981	6.6	732
Crop production	111	5	930	2.4	10,430	2.6	96,084,679	1.9	709
Animal production	112	5	115	0.3	2,166	0.5	26,405,288	0.5	938
Forestry and logging	113	5	6	0.0	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	411	1.1	22,804	5.7	214,299,248	4.2	723
Mining	21	5	15	0.0	199	0.0	6,963,966	0.1	2,687
Oil and gas extraction	211	5	3	0.0	59	0.0	3,396,750	0.1	4,429
Mining, except oil and gas	212	5	5	0.0	86	0.0	2,530,610	0.0	2,272
Support activities for mining	213	5	7	0.0	55	0.0	1,036,606	0.0	1,459
Utilities	22	3	32	0.1	850	0.2	15,000,140	0.3	1,357
Utilities	22	5	52	0.1	2,702	0.7	99,441,137	1.9	2,831
Utilities	221	3	32	0.1	850	0.2	15,000,140	0.3	1,357
Utilities	221	5	52	0.1	2,702	0.7	99,441,137	1.9	2,831
Construction	23	3	2	0.0	0	0.0	0	0.0	0
Construction	23	5	1,774	4.6	21,630	5.4	328,730,835	6.4	1,169
Construction of buildings	236	5	499	1.3	4,758	1.2	67,117,542	1.3	1,085
Heavy and civil engineering construction	237	3	2	0.0	0	0.0	0	0.0	0
Heavy and civil engineering construction	237	5	99	0.3	2,470	0.6	53,431,139	1.0	1,664
Specialty trade contractors	238	5	1,176	3.0	14,402	3.6	208,182,154	4.1	1,112
Manufacturing	31-33	5	668	1.7	25,631	6.4	339,681,521	6.6	1,019
Food manufacturing	311	5	151	0.4	11,785	2.9	136,546,087	2.7	891
Beverage and tobacco product manufacturing	312	5	34	0.1	1,471	0.4	27,742,454	0.5	1,451
Textile mills	313	5	3	0.0	27	0.0	300,606	0.0	856
Textile product mills	314	5	7	0.0	121	0.0	1,054,067	0.0	672
Apparel manufacturing	315	5	6	0.0	53	0.0	369,313	0.0	536
Wood product manufacturing	321	5	27	0.1	1,284	0.3	13,622,816	0.3	816
Paper manufacturing	322	5	12	0.0	1,099	0.3	18,359,478	0.4	1,285
Printing and related support activities	323	5	39	0.1	473	0.1	5,692,946	0.1	926
Petroleum and coal products manufacturing	324	5	4	0.0	0	0.0	0	0.0	0
Chemical manufacturing	325	5	35	0.1	802	0.2	17,252,472	0.3	1,655
Plastics and rubber products manufacturing	326	5	16	0.0	331	0.1	3,760,056	0.1	873
Nonmetallic mineral product manufacturing	327	5	34	0.1	721	0.2	11,639,414	0.2	1,242
Primary metal manufacturing	331	5	5	0.0	0	0.0	0	0.0	0
Fabricated metal product manufacturing	332	5	98	0.3	1,805	0.4	22,526,683	0.4	960
Machinery manufacturing	333	5	57	0.1	1,975	0.5	28,388,663	0.6	1,106
Computer and electronic product manufacturing	334	5	20	0.1	552	0.1	7,961,431	0.2	1,110
Electrical equipment and appliance manufacturing	335	5	8	0.0	54	0.0	873,434	0.0	1,237
Transportation equipment manufacturing	336	5	36	0.1	1,142	0.3	14,017,547	0.3	944
Furniture and related product manufacturing	337	5	25	0.1	333	0.1	4,194,532	0.1	969
Miscellaneous manufacturing	339	5	51	0.1	825	0.2	11,023,282	0.2	1,027
Wholesale trade	42	5	883	2.3	15,205	3.8	264,541,361	5.2	1,338
Merchant wholesalers, durable goods	423	5	457	1.2	6,130	1.5	107,172,699	2.1	1,345
Merchant wholesalers, nondurable goods	424	5	339	0.9	8,363	2.1	137,592,063	2.7	1,266
Electronic markets and agents and brokers	425	5	87	0.2	713	0.2	19,776,599	0.4	2,135
Retail trade	44-45	5	2,422	6.2	39,449	9.8	383,298,960	7.5	747
Motor vehicle and parts dealers	441	5	327	0.8	5,538	1.4	93,667,789	1.8	1,301
Building material and garden supply stores	444	5	156	0.4	3,181	0.8	33,269,916	0.6	805
Food and beverage stores	445	5	555	1.4	8,074	2.0	66,281,786	1.3	631
Food and beverage stores	449	5	206	0.5	3,123	0.8	32,796,522	0.6	808
Food and beverage stores	455	5	155	0.4	9,372	2.3	76,767,890	1.5	630
Food and beverage stores	456	5	257	0.7	2,945	0.7	31,312,631	0.6	818
Food and beverage stores	457	5	225	0.6	1,720	0.4	13,208,031	0.3	591
Food and beverage stores	458	5	231	0.6	2,726	0.7	17,292,005	0.3	488
Food and beverage stores	459	5	310	0.8	2,771	0.7	18,702,390	0.4	519
Transportation and warehousing	48-49	1	40	0.1	1,240	0.3	18,593,006	0.4	1,153
Transportation and warehousing	48-49	3	16	0.0	1,201	0.3	17,288,559	0.3	1,107
Transportation and warehousing	48-49	5	1,377	3.5	17,320	4.3	187,084,526	3.6	831
Air transportation	481	5	15	0.0	546	0.1	8,475,795	0.2	1,194
Rail transportation	482	5	2	0.0	0	0.0	0	0.0	0
Water transportation	483	5	4	0.0	10	0.0	74,439	0.0	573
Truck transportation	484	5	1,012	2.6	6,482	1.6	84,138,458	1.6	998
Transit and ground passenger transportation	485	3	7	0.0	557	0.1	8,644,820	0.2	1,194
Transit and ground passenger transportation	485	5	40	0.1	676	0.2	5,787,340	0.1	659
Pipeline transportation	486	5	3	0.0	28	0.0	951,582	0.0	2,583
Support activities for transportation	488	3	1	0.0	0	0.0	0	0.0	0
Support activities for transportation	488	5	183	0.5	1,436	0.4	21,334,198	0.4	1,143
Postal service	491	1	40	0.1	1,240	0.3	18,593,006	0.4	1,153
Postal service	491	5	5	0.0	0	0.0	0	0.0	0
Couriers and messengers	492	5	56	0.1	2,505	0.6	25,368,244	0.5	779
Warehousing and storage	493	3	8	0.0	0	0.0	0	0.0	0
Warehousing and storage	493	5	57	0.1	5,623	1.4	40,822,871	0.8	558
Information	51	3	4	0.0	0	0.0	0	0.0	0
Information	51	5	143	0.4	3,072	0.8	70,273,316	1.4	1,760
Motion picture and sound recording industries	512	5	24	0.1	399	0.1	2,458,414	0.0	474
Motion picture and sound recording industries	513	5	29	0.1	538	0.1	9,992,557	0.2	1,429
Internet publishing and broadcasting	516	5	36	0.1	1,367	0.3	39,581,592	0.8	2,227
Telecommunications	517	5	40	0.1	666	0.2	14,424,265	0.3	1,666
ISPs, search portals, and data processing	518	5	11	0.0	97	0.0	3,691,666	0.1	2,938
Other information services	519	3	4	0.0	0	0.0	0	0.0	0
Other information services	519	5	3	0.0	5	0.0	124,822	0.0	1,800
Finance and insurance	52	1	3	0.0	9	0.0	221,398	0.0	1,892
Finance and insurance	52	5	952	2.4	7,863	2.0	181,630,310	3.5	1,777
Monetary authorities - central bank	521	5	1	0.0	0	0.0	0	0.0	0
Credit intermediation and related activities	522	1	3	0.0	9	0.0	221,398	0.0	1,892
Credit intermediation and related activities	522	5	344	0.9	3,153	0.8	76,107,469	1.5	1,857
Securities, commodity contracts, investments	523	5	150	0.4	536	0.1	18,955,396	0.4	2,722
Insurance carriers and related activities	524	5	445	1.1	4,151	1.0	85,932,675	1.7	1,592
Funds, trusts, and other financial vehicles	525	5	12	0.0	0	0.0	0	0.0	0
Real estate and rental and leasing	53	3	5	0.0	225	0.1	3,751,653	0.1	1,281
Real estate and rental and leasing	53	5	911	2.3	4,927	1.2	61,378,260	1.2	958
Real estate	531	3	5	0.0	225	0.1	3,751,653	0.1	1,281
Real estate	531	5	788	2.0	3,917	1.0	46,802,550	0.9	919
Rental and leasing services	532	5	122	0.3	0	0.0	0	0.0	0
Lessors of nonfinancial intangible assets	533	5	1	0.0	0	0.0	0	0.0	0
Professional and technical services	54	1	2	0.0	62	0.0	1,141,057	0.0	1,408
Professional and technical services	54	3	1	0.0	0	0.0	0	0.0	0
Professional and technical services	54	5	1,791	4.6	11,694	2.9	181,776,712	3.5	1,196
Professional and technical services	541	1	2	0.0	62	0.0	1,141,057	0.0	1,408
Professional and technical services	541	3	1	0.0	0	0.0	0	0.0	0
Professional and technical services	541	5	1,791	4.6	11,694	2.9	181,776,712	3.5	1,196
Management of companies and enterprises	55	5	89	0.2	2,646	0.7	54,318,585	1.1	1,579
Management of companies and enterprises	551	5	89	0.2	2,646	0.7	54,318,585	1.1	1,579
Administrative and waste services	56	2	1	0.0	0	0.0	0	0.0	0
Administrative and waste services	56	3	6	0.0	0	0.0	0	0.0	0
Administrative and waste services	56	5	973	2.5	18,181	4.5	181,611,010	3.5	768
Administrative and support services	561	2	1	0.0	0	0.0	0	0.0	0
Administrative and support services	561	3	4	0.0	0	0.0	0	0.0	0
Administrative and support services	561	5	901	2.3	16,805	4.2	161,295,181	3.1	738
Waste management and remediation services	562	3	2	0.0	0	0.0	0	0.0	0
Waste management and remediation services	562	5	72	0.2	1,376	0.3	20,315,829	0.4	1,135
Educational services	61	2	161	0.4	3,136	0.8	55,123,124	1.1	1,352
Educational services	61	3	630	1.6	33,843	8.4	504,964,955	9.8	1,148
Educational services	61	5	187	0.5	3,920	1.0	34,076,230	0.7	669
Educational services	611	2	161	0.4	3,136	0.8	55,123,124	1.1	1,352
Educational services	611	3	630	1.6	33,843	8.4	504,964,955	9.8	1,148
Educational services	611	5	187	0.5	3,920	1.0	34,076,230	0.7	669
Health care and social assistance	62	1	1	0.0	1,832	0.5	42,696,246	0.8	1,792
Health care and social assistance	62	2	115	0.3	0	0.0	0	0.0	0
Health care and social assistance	62	3	20	0.1	226	0.1	3,251,662	0.1	1,105
Health care and social assistance	62	5	20,281	52.0	73,528	18.3	931,688,352	18.2	975
Ambulatory health care services	621	3	2	0.0	0	0.0	0	0.0	0
Ambulatory health care services	621	5	1,901	4.9	21,893	5.4	403,841,028	7.9	1,419
Hospitals	622	1	1	0.0	1,832	0.5	42,696,246	0.8	1,792
Hospitals	622	2	83	0.2	2,083	0.5	32,090,756	0.6	1,185
Hospitals	622	3	1	0.0	0	0.0	0	0.0	0
Hospitals	622	5	22	0.1	14,589	3.6	297,387,727	5.8	1,568
Nursing and residential care facilities	623	2	32	0.1	0	0.0	0	0.0	0
Nursing and residential care facilities	623	5	272	0.7	7,505	1.9	72,702,522	1.4	745
Social assistance	624	3	17	0.0	205	0.1	2,812,520	0.1	1,057
Social assistance	624	5	18,086	46.4	29,541	7.3	157,757,075	3.1	411
Arts, entertainment, and recreation	71	3	7	0.0	1,177	0.3	14,779,068	0.3	966
Arts, entertainment, and recreation	71	5	197	0.5	3,680	0.9	22,996,285	0.4	481
Performing arts and spectator sports	711	3	1	0.0	0	0.0	0	0.0	0
Performing arts and spectator sports	711	5	48	0.1	544	0.1	4,677,951	0.1	661
Museums, historical sites, zoos, and parks	712	3	1	0.0	0	0.0	0	0.0	0
Museums, historical sites, zoos, and parks	712	5	10	0.0	278	0.1	2,486,039	0.0	688
Amusements, gambling, and recreation	713	3	5	0.0	1,087	0.3	13,256,424	0.3	938
Amusements, gambling, and recreation	713	5	139	0.4	2,858	0.7	15,832,295	0.3	426
Accommodation and food services	72	3	5	0.0	259	0.1	1,836,167	0.0	545
Accommodation and food services	72	5	1,772	4.5	31,646	7.9	189,870,030	3.7	462
Accommodation	721	5	119	0.3	2,120	0.5	15,018,076	0.3	545
Food services and drinking places	722	3	5	0.0	259	0.1	1,836,167	0.0	545
Food services and drinking places	722	5	1,653	4.2	29,526	7.3	174,851,954	3.4	456
Other services, except public administration	81	1	1	0.0	14	0.0	211,792	0.0	1,164
Other services, except public administration	81	3	11	0.0	126	0.0	1,935,199	0.0	1,185
Other services, except public administration	81	5	1,557	4.0	11,680	2.9	116,434,113	2.3	767
Repair and maintenance	811	5	616	1.6	4,606	1.1	52,141,776	1.0	871
Personal and laundry services	812	1	1	0.0	14	0.0	211,792	0.0	1,164
Personal and laundry services	812	3	11	0.0	126	0.0	1,935,199	0.0	1,185
Personal and laundry services	812	5	427	1.1	2,938	0.7	25,206,427	0.5	660
Membership associations and organizations	813	5	295	0.8	3,795	0.9	36,773,679	0.7	745
Private households	814	5	219	0.6	341	0.1	2,312,231	0.0	522
Public administration	92	1	48	0.1	6,320	1.6	98,420,978	1.9	1,198
Public administration	92	2	211	0.5	5,779	1.4	118,393,357	2.3	1,576
Public administration	92	3	43	0.1	12,035	3.0	210,073,685	4.1	1,343
Executive, legislative and general government	921	1	3	0.0	4,292	1.1	60,975,416	1.2	1,093
Executive, legislative and general government	921	2	15	0.0	386	0.1	8,830,221	0.2	1,761
Executive, legislative and general government	921	3	21	0.1	3,163	0.8	53,027,539	1.0	1,290
Justice, public order, and safety activities	922	1	12	0.0	598	0.1	13,281,637	0.3	1,708
Justice, public order, and safety activities	922	2	61	0.2	1,857	0.5	33,783,626	0.7	1,399
Justice, public order, and safety activities	922	3	6	0.0	4,322	1.1	90,712,931	1.8	1,615
Administration of human resource programs	923	1	4	0.0	162	0.0	2,931,823	0.1	1,392
Administration of human resource programs	923	2	58	0.1	1,100	0.3	22,585,024	0.4	1,579
Administration of human resource programs	923	3	3	0.0	0	0.0	0	0.0	0
Administration of environmental programs	924	1	11	0.0	215	0.1	3,407,329	0.1	1,221
Administration of environmental programs	924	2	19	0.0	596	0.1	11,647,889	0.2	1,503
Administration of environmental programs	924	3	5	0.0	760	0.2	15,173,088	0.3	1,535
Community and housing program administration	925	3	3	0.0	0	0.0	0	0.0	0
Administration of economic programs	926	1	15	0.0	666	0.2	11,930,896	0.2	1,379
Administration of economic programs	926	2	58	0.1	1,840	0.5	41,546,597	0.8	1,737
Administration of economic programs	926	3	5	0.0	124	0.0	1,888,735	0.0	1,172
National security and international affairs	928	1	3	0.0	387	0.1	5,893,877	0.1	1,172
Unclassified establishments	99	3	7	0.0	18	0.0	348,139	0.0	1,461
Unclassified establishments	99	5	102	0.3	49	0.0	1,541,676	0.0	2,437
Unclassified establishments	999	3	7	0.0	18	0.0	348,139	0.0	1,461
Unclassified establishments	999	5	102	0.3	49	0.0	1,541,676	0.0	2,437

4.1 Census Tract Demographic-Economic Characteristics .. goto topics

There are 225 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
06019000100	3,852	3,055	797	1,582	458	218	183	0	1,099	312	2,209	257	1,049	804	143	3,247	708	158	804	18	786	50	16,639	25,598	-6	571	1
06019000200	2,432	1,260	1,172	1,350	236	25	37	20	594	170	1,759	246	2,357	728	511	1,455	108	200	728	154	574	47	29,583	46,488	144,900	838	0
06019000300	4,927	2,747	2,180	2,997	803	11	95	96	575	350	3,325	464	4,894	1,103	953	2,826	578	291	1,103	483	620	57	36,558	35,223	153,800	896	0
06019000400	5,700	2,995	2,705	3,029	186	63	564	0	1,327	531	4,174	432	5,184	1,337	907	3,470	500	381	1,337	583	754	122	29,901	29,732	134,600	969	0
06019000501	2,864	1,553	1,311	1,546	424	18	55	26	653	142	2,114	279	2,864	829	564	1,481	175	267	829	144	685	86	29,390	28,500	196,400	874	0
06019000502	3,338	1,746	1,592	1,881	54	214	352	0	583	254	2,414	383	3,086	1,019	653	1,901	220	150	1,019	187	832	77	26,761	35,021	189,200	795	1
06019000601	4,002	2,065	1,937	2,561	441	0	91	39	797	73	2,849	462	3,938	1,763	621	2,467	197	225	1,763	243	1,520	233	23,005	24,109	189,400	654	0
06019000602	957	467	490	527	210	22	4	0	60	134	444	165	722	366	151	707	92	126	366	0	366	145	-6	-6	-6	828	1
06019000701	2,412	1,206	1,206	1,014	811	0	140	0	282	165	1,456	360	2,390	785	510	1,527	282	308	785	295	490	45	18,628	25,000	110,800	860	1
06019000702	1,340	716	624	577	101	25	153	0	216	268	972	125	1,208	426	308	959	64	30	426	175	251	46	31,235	31,605	140,100	1,075	1
06019000901	3,017	1,395	1,622	1,329	493	139	530	0	332	194	1,841	292	3,009	760	645	1,507	134	301	760	267	493	43	37,357	36,619	162,300	966	0
06019000902	4,937	2,177	2,760	3,191	658	0	548	0	162	378	3,527	557	4,918	1,578	849	2,141	286	330	1,578	330	1,248	58	14,101	23,958	165,500	508	1
06019001000	4,404	2,000	2,404	1,347	908	51	559	0	906	633	2,885	325	4,380	1,179	763	2,254	237	367	1,179	345	834	67	28,201	27,757	156,600	1,004	0
06019001100	3,180	1,659	1,521	1,382	812	6	41	0	483	456	2,174	301	3,135	754	548	1,745	245	189	754	232	522	67	32,361	40,000	105,400	1,058	0
06019001201	6,437	3,222	3,215	2,914	302	175	1,264	0	1,696	86	4,555	387	6,437	1,387	1,221	3,206	380	333	1,387	625	762	118	43,079	47,563	187,300	1,034	0
06019001202	4,331	1,979	2,352	2,209	518	0	469	24	751	360	3,259	379	4,313	1,147	951	2,261	235	204	1,147	489	658	74	40,688	40,712	189,500	1,013	0
06019001301	5,442	2,611	2,831	3,092	21	91	363	0	1,210	665	4,674	653	5,442	1,521	1,234	3,142	334	341	1,521	713	808	119	30,257	37,159	135,000	986	0
06019001303	2,571	1,556	1,015	1,287	208	30	569	0	449	28	1,713	176	2,562	613	502	1,490	181	62	613	186	427	21	34,327	33,947	154,600	936	0
06019001304	5,530	2,842	2,688	2,917	545	3	1,158	0	818	89	3,591	416	5,512	1,475	1,159	3,205	387	484	1,475	353	1,122	53	26,231	27,022	152,200	837	1
06019001407	4,725	2,070	2,655	2,090	686	39	918	0	758	234	2,462	86	4,700	1,526	1,085	2,434	394	339	1,526	291	1,235	113	31,088	31,929	113,200	871	0
06019001408	2,465	1,116	1,349	1,683	71	0	281	21	197	212	1,071	976	1,872	1,082	300	1,602	121	170	1,082	205	877	61	18,300	79,250	264,200	463	1
06019001409	2,288	1,238	1,050	1,316	87	13	254	0	112	506	968	306	2,281	660	515	1,490	152	118	660	535	125	26	111,250	113,164	358,800	1,332	0
06019001411	7,329	3,812	3,517	3,835	375	71	1,699	48	427	874	3,529	582	7,329	2,099	1,551	4,079	605	600	2,099	960	1,139	45	56,044	64,583	252,800	971	1
06019001412	3,334	1,679	1,655	1,491	85	6	778	0	320	654	1,594	412	3,218	755	638	1,980	284	289	755	661	94	9	79,583	78,333	269,600	1,644	0
06019001413	6,872	3,175	3,697	3,631	154	45	2,024	24	523	471	3,060	659	6,866	1,846	1,593	4,369	362	481	1,846	1,523	323	27	108,311	108,074	292,100	1,713	0
06019001415	6,094	3,410	2,684	3,912	190	96	766	0	862	268	3,885	513	6,056	1,481	1,117	3,847	550	582	1,481	879	602	0	60,388	50,625	140,900	923	0
06019001416	6,128	2,650	3,478	2,090	191	31	2,606	0	1,075	135	2,879	350	6,128	1,271	1,146	3,025	320	360	1,271	1,045	226	82	86,067	85,671	245,700	1,763	0
06019001417	6,125	3,158	2,967	2,546	250	0	2,786	0	436	107	2,099	548	6,108	1,684	1,477	4,020	159	206	1,684	1,620	64	68	115,556	128,347	314,700	1,701	0
06019001418	2,015	819	1,196	1,389	193	0	104	47	178	104	892	389	2,015	731	626	1,257	172	47	731	556	175	50	97,428	101,100	345,200	968	0
06019001500	2,337	1,097	1,240	1,424	39	0	226	0	507	141	1,700	263	2,256	627	498	1,386	173	152	627	356	271	52	44,344	46,458	232,100	988	0
06019001600	4,975	2,340	2,635	3,590	45	35	341	1	715	248	3,277	972	4,879	1,646	1,214	3,299	533	405	1,646	906	740	165	50,758	66,250	278,800	931	0
06019001700	6,516	3,257	3,259	3,806	92	206	1,120	0	909	383	3,757	848	6,455	1,878	1,483	3,963	585	346	1,878	1,043	835	120	67,727	81,477	304,900	1,155	0
06019001800	4,733	2,384	2,349	3,022	19	8	113	0	767	804	3,228	603	4,728	1,299	1,104	3,001	420	431	1,299	711	588	159	66,989	75,233	228,700	1,100	0
06019002000	6,186	3,275	2,911	3,344	738	109	480	0	985	530	3,927	412	5,962	1,969	1,381	3,670	654	403	1,969	587	1,382	92	30,709	31,273	85,400	886	0
06019002100	6,218	3,725	2,493	3,584	446	0	18	0	1,371	799	4,331	413	6,209	2,080	1,177	3,447	542	371	2,080	813	1,267	208	42,411	48,256	213,200	946	0
06019002200	3,616	1,833	1,783	2,606	98	30	59	15	217	591	2,176	254	3,589	1,490	647	2,508	331	99	1,490	421	1,069	100	40,437	56,797	219,400	1,052	0
06019002300	3,574	1,736	1,838	2,412	92	34	62	17	394	563	2,405	269	3,574	1,299	827	2,167	185	160	1,299	446	853	145	32,863	38,180	158,100	920	0
06019002400	4,856	2,255	2,601	2,386	150	0	879	0	1,041	400	3,522	609	4,847	1,474	1,001	2,713	388	416	1,474	312	1,162	113	28,611	24,813	124,400	739	0
06019002501	4,654	2,266	2,388	2,482	385	3	646	9	840	289	3,179	212	4,649	1,214	957	2,106	219	333	1,214	163	1,051	51	32,969	33,024	101,900	945	0
06019002502	4,947	2,252	2,695	2,415	62	98	773	22	521	1,056	3,550	297	4,782	1,233	868	2,202	224	159	1,233	145	1,088	132	23,307	40,400	136,900	829	0
06019002601	4,793	2,040	2,753	2,919	25	14	340	0	692	803	4,226	494	4,793	1,380	1,050	2,834	246	342	1,380	597	783	162	32,011	31,719	124,900	949	0
06019002602	3,167	1,754	1,413	2,207	71	6	77	57	502	247	2,404	326	3,142	990	738	2,038	312	207	990	561	429	41	43,906	44,018	169,700	1,005	0
06019002701	4,854	2,330	2,524	2,933	45	38	417	0	755	666	4,157	315	4,854	1,300	1,069	2,817	290	274	1,300	512	788	53	32,353	32,472	150,200	1,023	1
06019002702	4,410	2,251	2,159	2,648	186	81	327	1	587	580	3,652	249	4,375	1,272	973	2,182	303	254	1,272	291	981	145	28,542	30,653	157,000	780	0
06019002800	4,361	2,109	2,252	2,065	293	73	958	0	359	613	2,954	307	4,359	1,356	866	2,374	374	375	1,356	364	992	53	26,148	32,606	162,500	861	0
06019002903	3,845	1,849	1,996	1,861	387	0	1,231	0	157	209	1,699	642	3,716	1,206	787	2,302	285	334	1,206	346	860	219	25,222	31,250	165,200	764	0
06019002904	3,281	1,613	1,668	1,194	229	39	667	0	542	610	2,006	239	3,275	860	678	1,835	442	258	860	487	373	15	49,209	53,816	204,400	1,305	0
06019002905	2,912	1,398	1,514	1,803	132	17	547	0	352	61	1,743	303	2,903	888	675	1,484	211	141	888	274	614	84	41,125	46,771	194,600	992	0
06019002906	5,159	2,834	2,325	2,239	250	112	1,186	57	682	633	2,995	437	5,159	1,583	1,272	3,139	517	332	1,583	628	955	121	45,435	45,458	194,400	850	0
06019003001	3,243	1,576	1,667	1,200	304	45	1,119	21	322	232	1,357	336	3,233	916	726	1,892	334	254	916	441	475	19	40,897	44,924	203,500	995	1
06019003003	4,128	2,204	1,924	1,817	247	42	914	8	699	401	2,219	594	3,902	1,083	823	2,404	294	385	1,083	260	823	211	45,194	46,306	206,000	1,078	0
06019003004	2,094	997	1,097	1,325	10	53	236	0	355	115	1,091	396	2,067	650	473	1,301	186	129	650	486	164	53	51,000	63,371	191,700	1,007	0
06019003102	7,550	4,080	3,470	4,154	635	15	676	0	1,428	642	3,681	501	7,541	2,641	1,761	4,509	532	376	2,641	847	1,794	242	46,302	46,875	176,600	967	0
06019003103	5,169	2,616	2,553	2,831	102	353	439	46	1,114	284	2,677	619	5,161	2,044	1,351	3,061	594	467	2,044	626	1,418	28	34,542	38,896	196,700	1,161	0
06019003104	4,337	2,211	2,126	1,931	173	20	1,168	0	358	687	1,484	488	4,337	1,679	1,072	2,911	689	291	1,679	591	1,088	160	54,521	62,917	265,000	966	0
06019003201	5,591	2,944	2,647	2,654	185	47	728	9	823	1,145	3,506	684	5,582	1,708	1,247	3,663	460	258	1,708	814	894	36	52,636	61,250	194,000	900	0
06019003202	5,337	2,790	2,547	2,741	539	36	949	0	832	240	2,466	442	5,317	1,581	1,117	2,939	203	326	1,581	580	1,001	127	27,276	28,180	188,700	1,032	0
06019003301	3,097	1,425	1,672	1,549	248	41	112	0	913	234	1,973	461	2,903	1,138	609	2,039	244	266	1,138	495	643	83	29,397	40,602	167,800	903	0
06019003302	4,650	2,323	2,327	2,679	193	49	551	5	1,005	168	2,875	362	4,628	1,668	1,074	2,968	299	358	1,668	575	1,093	88	32,198	37,500	153,400	1,041	0
06019003401	3,359	1,590	1,769	1,286	916	173	388	0	510	86	1,689	508	3,342	1,109	650	1,970	150	214	1,109	420	689	117	17,656	34,831	151,400	740	1
06019003402	1,957	830	1,127	1,232	269	0	0	10	177	269	982	398	1,728	710	426	1,386	114	194	710	328	382	47	60,278	60,385	170,400	1,127	0
06019003500	4,793	2,468	2,325	3,436	253	98	166	0	682	158	2,501	842	4,752	2,183	934	3,454	511	110	2,183	1,102	1,081	136	44,279	62,357	227,500	746	0
06019003600	4,211	1,923	2,288	3,294	267	9	40	0	300	301	1,487	684	4,204	1,820	1,087	3,156	393	254	1,820	1,251	569	122	73,841	80,852	251,800	1,543	0
06019003701	3,057	1,508	1,549	2,171	72	12	172	0	436	194	2,056	366	3,037	1,026	629	2,107	191	215	1,026	411	615	68	44,539	44,178	203,500	980	0
06019003702	5,165	2,737	2,428	2,659	406	100	486	0	798	716	2,868	751	5,159	1,671	1,300	3,496	499	673	1,671	670	1,001	149	43,057	35,313	173,600	1,133	0
06019003804	7,081	3,492	3,589	1,946	698	451	2,062	0	954	970	3,454	544	7,039	1,704	1,522	3,889	415	525	1,704	1,318	386	154	81,125	74,028	253,000	1,553	0
06019003805	7,878	3,723	4,155	3,323	471	156	1,458	0	1,362	1,108	4,488	483	7,828	2,095	1,691	4,523	532	406	2,095	712	1,383	87	46,914	51,100	190,500	1,141	0
06019003807	3,179	1,550	1,629	1,801	164	10	500	0	549	155	1,773	346	3,163	1,056	727	1,905	340	300	1,056	473	583	141	32,014	40,313	171,600	931	1
06019003808	5,128	2,788	2,340	1,655	375	65	1,080	0	1,297	656	2,722	540	5,104	1,584	1,079	3,460	731	530	1,584	1,317	267	72	67,917	75,266	238,400	1,283	0
06019003809	4,808	2,339	2,469	2,361	546	19	1,193	8	113	568	1,990	327	4,774	1,369	1,032	2,688	279	235	1,369	565	804	105	55,512	58,445	207,300	1,130	0
06019003810	5,925	2,930	2,995	2,921	874	33	795	0	694	608	3,023	471	5,879	1,787	1,364	3,799	665	548	1,787	1,232	555	0	64,489	67,273	243,900	1,333	0
06019003811	8,994	4,700	4,294	4,704	196	0	2,908	44	1,095	47	3,367	870	8,933	1,979	1,697	5,193	958	425	1,979	1,677	302	122	76,328	77,391	283,400	1,756	0
06019003812	2,199	1,061	1,138	888	360	0	593	0	340	18	526	487	2,196	539	495	1,579	208	294	539	498	41	59	107,125	110,869	360,900	-6	0
06019003900	6,133	2,941	3,192	3,597	61	0	0	44	1,871	560	4,308	637	6,128	1,604	1,317	3,420	495	554	1,604	851	753	86	61,731	72,361	326,100	1,073	1
06019004003	4,432	2,223	2,209	2,150	0	0	472	0	813	997	3,161	379	4,432	1,166	1,043	2,699	498	394	1,166	718	448	46	98,382	97,434	250,300	1,305	0
06019004004	4,282	2,087	2,195	3,186	22	120	0	0	900	54	3,199	253	4,260	1,019	866	2,118	482	243	1,019	615	404	0	67,458	71,346	248,000	1,158	0
06019004005	3,763	1,972	1,791	2,341	0	69	165	0	1,041	147	3,194	377	3,758	1,072	798	2,177	258	178	1,072	568	504	23	37,326	43,438	200,700	860	0
06019004006	3,140	1,588	1,552	1,274	27	5	23	0	1,058	753	3,010	421	3,140	997	519	2,016	89	165	997	287	710	73	38,899	39,035	-6	779	0
06019004100	3,349	1,674	1,675	2,026	85	146	338	0	351	403	2,008	387	3,305	899	760	1,862	308	260	899	520	379	65	54,390	55,667	340,900	1,090	0
06019004205	6,007	2,608	3,399	2,534	1,372	12	692	0	526	871	2,782	630	5,986	1,883	1,232	3,748	454	536	1,883	799	1,084	102	49,283	53,145	166,600	1,078	0
06019004208	7,319	3,723	3,596	4,860	462	0	984	0	582	431	1,731	1,108	7,315	2,421	2,082	4,968	461	208	2,421	2,089	332	0	109,549	111,136	352,800	1,446	0
06019004210	3,586	1,734	1,852	1,960	365	11	705	0	430	115	1,497	391	3,586	1,300	913	2,238	166	217	1,300	352	948	194	49,698	56,750	282,300	1,211	1
06019004211	7,992	3,894	4,098	4,130	363	22	560	0	1,032	1,885	4,633	646	7,961	2,408	1,972	4,752	519	196	2,408	1,460	948	67	70,515	73,758	245,200	1,744	0
06019004212	10,810	5,450	5,360	4,549	1,503	356	1,969	0	1,697	736	3,973	1,051	10,793	4,323	2,398	6,841	772	683	4,323	1,249	3,074	411	46,914	44,033	262,100	1,161	0
06019004213	3,326	1,656	1,670	2,244	49	94	180	0	399	360	1,405	350	3,285	1,302	918	2,329	243	311	1,302	578	724	35	77,500	79,787	259,200	1,037	0
06019004214	4,944	2,502	2,442	3,387	115	1	882	8	316	235	1,020	1,227	4,884	1,932	1,370	3,601	243	244	1,932	1,363	569	7	70,870	81,944	337,600	1,885	0
06019004215	4,423	2,288	2,135	2,625	52	45	736	0	294	671	1,773	436	4,407	1,345	1,054	2,943	417	375	1,345	1,037	308	105	77,358	75,857	256,700	1,730	0
06019004216	4,403	2,287	2,116	1,890	279	55	869	0	542	768	2,100	392	4,386	1,441	1,066	3,022	482	308	1,441	1,050	391	11	93,042	89,167	312,500	1,568	0
06019004217	3,678	2,079	1,599	1,325	1,047	0	268	0	1,026	12	2,034	442	3,678	987	828	2,006	358	266	987	393	594	28	62,049	58,269	204,700	1,098	0
06019004218	7,767	3,426	4,341	3,677	116	160	1,772	59	1,268	715	3,883	638	7,767	1,853	1,622	4,517	627	534	1,853	1,650	203	70	89,775	92,083	346,000	2,358	0
06019004301	4,326	2,098	2,228	3,426	165	0	358	0	70	307	810	1,285	4,308	1,745	1,191	3,188	161	239	1,745	1,379	366	142	112,102	142,036	616,400	1,497	1
06019004302	4,758	2,328	2,430	3,356	57	0	761	0	375	209	1,135	1,656	4,740	1,897	1,255	3,595	246	262	1,897	1,673	224	45	93,393	127,313	383,000	2,106	0
06019004303	4,784	2,088	2,696	4,087	135	55	156	0	38	313	1,228	1,392	4,742	1,948	1,228	3,531	102	247	1,948	1,666	282	98	103,026	147,083	389,200	1,380	1
06019004404	3,094	1,513	1,581	1,567	124	13	139	0	771	480	2,250	168	3,089	984	684	1,739	374	189	984	145	839	103	39,803	42,984	167,500	1,121	0
06019004405	3,531	1,691	1,840	2,935	114	13	154	0	73	242	691	780	3,522	1,363	1,090	2,477	91	142	1,363	1,117	246	62	126,607	131,897	410,800	1,667	0
06019004406	5,711	2,726	2,985	3,671	188	3	1,035	0	386	428	1,930	936	5,689	2,393	1,404	3,818	232	143	2,393	1,150	1,243	143	65,285	77,500	251,500	1,318	0
06019004409	2,857	1,253	1,604	1,806	53	107	165	0	366	360	1,025	550	2,848	1,168	787	2,049	273	205	1,168	619	549	155	67,872	69,761	324,500	1,247	0
06019004410	2,318	1,162	1,156	1,357	97	72	205	0	379	208	954	276	2,313	1,039	489	1,683	155	124	1,039	229	810	25	68,438	78,750	311,900	1,189	0
06019004411	1,624	854	770	1,236	129	2	141	0	40	76	185	369	1,624	777	526	1,308	39	134	777	432	345	63	101,037	159,583	978,800	1,270	1
06019004503	5,129	2,590	2,539	3,888	34	15	321	0	614	257	1,817	1,475	5,031	2,183	1,273	4,183	165	315	2,183	1,152	1,031	9	66,307	76,917	301,600	1,205	0
06019004504	5,412	2,640	2,772	2,793	578	27	764	0	724	526	1,829	720	5,392	2,078	1,236	3,335	660	376	2,078	535	1,543	20	46,374	55,893	215,000	1,125	0
06019004505	5,299	2,504	2,795	2,982	457	82	635	0	859	284	2,364	1,018	5,249	2,083	1,306	3,451	354	245	2,083	462	1,621	96	50,671	51,250	257,300	1,004	0
06019004506	3,403	1,666	1,737	2,927	117	35	142	0	101	81	363	953	3,324	1,418	841	2,465	149	129	1,418	1,004	414	132	87,500	123,359	347,400	1,094	0
06019004601	3,536	1,622	1,914	2,556	23	32	139	0	298	488	1,576	887	3,524	1,383	763	2,669	410	370	1,383	1,020	363	9	66,321	79,125	270,400	1,106	0
06019004602	2,461	1,299	1,162	1,603	51	8	114	0	273	412	842	442	2,461	913	598	1,691	130	174	913	850	63	60	95,225	98,250	393,400	1,097	0
06019004703	4,158	1,815	2,343	2,425	537	39	219	0	681	257	2,356	475	4,135	1,181	816	2,412	328	267	1,181	587	594	96	44,879	56,852	167,900	988	0
06019004704	4,790	2,214	2,576	2,204	757	138	144	43	1,156	348	3,194	333	4,780	1,515	1,121	2,641	382	211	1,515	575	940	28	30,760	30,496	168,700	858	0
06019004705	2,021	953	1,068	1,357	188	26	40	0	322	88	1,096	595	2,017	654	463	1,288	277	209	654	481	173	17	44,076	44,931	117,300	1,449	0
06019004706	5,000	2,166	2,834	2,407	586	74	667	0	141	1,125	2,939	439	4,962	1,812	1,080	2,916	204	217	1,812	412	1,400	83	41,048	45,294	217,700	993	0
06019004801	4,857	2,128	2,729	3,023	482	29	145	0	682	496	2,885	421	4,857	1,791	1,186	3,010	195	433	1,791	594	1,197	42	38,504	45,238	223,100	867	1
06019004802	4,102	2,290	1,812	2,420	415	59	200	18	575	415	2,561	308	4,090	1,441	914	2,315	316	428	1,441	519	922	99	36,125	24,454	159,600	977	1
06019004901	3,906	1,988	1,918	2,659	202	33	137	0	709	166	2,248	664	3,901	1,659	939	2,643	385	354	1,659	748	911	125	34,594	61,782	265,700	1,022	0
06019004902	2,261	1,007	1,254	1,347	258	14	22	24	106	490	1,129	356	2,247	735	513	1,423	116	159	735	486	249	33	71,563	68,597	385,900	1,237	0
06019005000	4,477	2,226	2,251	2,917	210	0	131	0	760	459	2,229	608	4,468	1,518	886	2,918	483	222	1,518	854	664	83	63,284	69,074	231,500	1,111	0
06019005100	6,777	3,244	3,533	4,670	461	132	317	0	934	263	3,982	894	6,761	2,220	1,434	4,040	558	573	2,220	1,030	1,190	114	39,444	40,882	211,900	924	0
06019005202	3,525	1,874	1,651	1,445	96	22	401	15	933	613	2,528	177	3,518	1,139	669	2,032	302	137	1,139	398	741	109	24,387	40,022	177,600	862	0
06019005203	5,028	2,569	2,459	2,734	447	0	322	0	860	665	3,227	525	4,949	1,595	962	2,858	453	249	1,595	653	942	66	41,799	42,619	175,800	973	0
06019005204	4,175	2,171	2,004	1,772	323	77	467	0	1,239	297	2,388	418	4,165	1,287	1,036	2,453	247	236	1,287	568	719	46	45,669	45,536	202,800	1,056	0
06019005301	5,997	2,818	3,179	3,585	433	15	572	0	711	681	3,459	731	5,969	1,866	1,375	3,894	900	287	1,866	911	955	109	55,750	49,673	200,600	1,041	0
06019005302	5,352	2,723	2,629	3,687	125	10	502	18	334	676	2,889	423	5,343	1,888	1,013	2,869	433	433	1,888	709	1,179	197	46,008	53,345	209,100	947	0
06019005304	5,139	2,699	2,440	3,043	253	185	585	0	449	624	2,204	366	5,053	2,076	1,180	2,632	291	452	2,076	444	1,632	180	33,841	36,500	212,300	907	0
06019005305	3,710	1,857	1,853	1,993	291	93	500	23	416	394	1,748	432	3,660	1,149	859	2,129	293	315	1,149	627	522	76	62,831	75,331	201,000	1,399	0
06019005403	5,491	2,248	3,243	3,103	674	104	730	0	417	463	1,736	230	5,034	1,647	894	2,263	467	209	1,647	233	1,414	197	22,723	23,311	177,100	812	0
06019005405	5,222	2,848	2,374	3,644	125	16	436	0	561	440	1,797	982	5,121	1,759	1,233	3,695	417	551	1,759	1,152	607	37	81,776	85,039	266,300	1,068	0
06019005406	4,316	2,258	2,058	2,999	29	25	402	0	681	180	1,703	1,009	4,301	1,475	1,120	2,933	293	257	1,475	1,109	366	66	70,636	72,819	267,800	1,620	0
06019005407	3,894	1,738	2,156	2,618	96	23	274	11	481	391	1,337	919	3,838	1,338	929	2,658	229	242	1,338	908	430	0	80,177	78,147	290,700	1,086	0
06019005408	2,084	894	1,190	1,286	131	36	259	33	214	125	669	4	916	321	92	204	29	39	321	7	314	65	18,482	27,031	-6	1,190	1
06019005409	2,983	1,360	1,623	1,676	253	158	301	0	439	156	1,298	386	2,983	1,297	580	1,950	175	267	1,297	348	949	106	39,531	46,607	256,100	983	0
06019005410	3,120	1,560	1,560	1,910	144	35	467	0	331	233	1,231	515	3,104	1,057	678	2,125	328	254	1,057	415	642	95	48,125	70,521	219,700	1,067	0
06019005503	5,984	3,168	2,816	3,901	96	44	1,427	0	38	478	869	1,456	5,984	2,369	1,878	4,380	325	315	2,369	1,729	640	88	118,607	149,541	532,900	1,732	1
06019005504	2,870	1,364	1,506	1,936	106	11	565	0	128	124	568	268	2,870	1,001	688	1,879	14	149	1,001	806	195	23	92,996	124,844	363,400	2,051	0
06019005505	6,136	3,169	2,967	3,544	344	125	1,292	35	269	527	1,347	740	6,122	1,834	1,574	3,949	304	154	1,834	1,358	476	67	98,707	98,929	364,400	1,887	0
06019005507	5,559	2,626	2,933	3,496	252	21	727	0	490	573	1,734	731	5,554	2,214	1,324	4,062	206	284	2,214	1,384	830	81	101,563	125,147	330,700	1,625	0
06019005508	6,103	2,823	3,280	3,620	81	0	1,827	0	53	522	1,500	947	6,103	2,094	1,431	3,989	328	121	2,094	1,422	672	106	101,463	138,450	410,800	1,888	0
06019005509	5,010	2,380	2,630	3,321	101	110	890	16	262	310	1,001	761	4,839	1,690	1,153	3,398	369	228	1,690	930	760	110	87,019	87,580	302,600	1,445	0
06019005512	6,094	2,903	3,191	4,554	38	53	747	0	195	507	1,913	569	6,089	1,794	1,451	3,690	249	429	1,794	1,063	731	45	89,534	100,159	355,400	1,685	0
06019005513	2,860	1,394	1,466	2,011	61	15	553	0	37	183	536	596	2,817	979	797	1,911	92	177	979	792	187	37	125,924	135,568	401,200	1,817	1
06019005514	3,987	1,794	2,193	2,742	347	0	385	0	287	226	684	939	3,843	1,295	941	2,692	131	227	1,295	829	466	99	101,383	116,094	393,100	1,702	0
06019005515	2,045	1,047	998	1,651	50	48	123	0	149	24	405	279	2,045	645	501	1,251	106	57	645	538	107	28	102,250	139,063	543,800	1,268	0
06019005516	5,975	3,057	2,918	4,727	116	0	647	0	60	425	1,935	799	5,975	2,775	1,358	4,486	377	256	2,775	996	1,779	41	99,063	107,328	327,800	1,787	0
06019005518	5,878	2,793	3,085	4,402	112	9	1,002	0	109	244	1,216	437	5,878	1,844	1,436	3,185	208	147	1,844	1,482	362	136	109,350	117,222	369,500	2,059	0
06019005520	3,597	1,705	1,892	2,559	75	23	418	0	66	456	783	514	3,597	997	905	2,174	115	181	997	932	65	51	159,313	163,076	566,400	1,988	0
06019005522	4,930	2,647	2,283	3,712	0	0	434	0	117	667	951	600	4,930	1,446	1,227	3,097	238	146	1,446	1,287	159	108	134,926	164,196	451,000	2,154	0
06019005524	4,632	2,439	2,193	3,217	173	35	612	0	127	468	663	606	4,632	1,392	1,183	2,896	150	237	1,392	1,099	293	82	140,700	146,755	421,200	2,191	0
06019005525	1,199	687	512	953	35	0	126	0	49	36	143	271	1,185	408	344	807	91	74	408	364	44	32	148,707	178,125	580,100	763	0
06019005526	1,542	646	896	988	79	0	407	0	51	17	358	408	1,542	799	247	1,237	14	199	799	54	745	44	64,219	81,693	238,600	1,618	0
06019005527	3,233	1,309	1,924	2,278	0	11	265	0	442	237	823	823	3,167	1,407	820	2,388	191	286	1,407	776	631	29	78,906	99,561	323,400	1,482	0
06019005528	1,785	891	894	1,326	0	0	96	39	229	95	322	280	1,785	659	426	1,274	70	52	659	384	275	0	103,939	162,763	418,800	1,700	0
06019005529	6,355	3,188	3,167	4,203	78	0	1,161	11	115	787	1,042	917	6,355	1,993	1,756	4,330	173	380	1,993	1,684	309	173	117,110	124,405	431,100	1,768	0
06019005602	5,009	2,268	2,741	3,205	56	120	524	0	925	179	1,682	836	4,927	2,258	1,185	3,490	312	383	2,258	574	1,684	31	43,056	66,250	243,600	980	0
06019005605	1,560	722	838	1,309	16	0	87	6	73	69	430	283	1,546	500	415	1,000	75	93	500	440	60	0	96,848	99,271	286,500	1,583	0
06019005606	3,741	1,912	1,829	2,388	100	19	347	0	314	573	1,399	504	3,722	1,240	1,034	2,304	178	126	1,240	878	362	14	91,250	99,074	359,400	1,080	0
06019005607	4,962	2,428	2,534	3,333	210	9	250	83	582	495	1,678	526	4,962	2,056	1,138	3,285	469	421	2,056	365	1,691	44	42,303	38,955	52,000	1,136	1
06019005608	3,159	1,390	1,769	2,633	0	11	50	0	309	156	923	889	3,159	1,355	796	2,358	406	287	1,355	855	500	78	53,547	60,598	194,000	1,082	0
06019005701	3,349	1,813	1,536	2,286	79	6	152	0	319	507	1,512	554	3,349	1,279	729	2,209	292	249	1,279	625	654	112	55,982	78,315	283,500	1,404	0
06019005702	4,988	2,516	2,472	4,310	67	30	306	0	102	173	998	663	4,957	1,769	1,426	3,355	187	287	1,769	1,411	358	84	95,578	110,089	302,400	1,769	0
06019005703	4,860	2,139	2,721	3,769	178	110	224	0	398	181	1,019	938	4,832	1,723	1,413	3,308	274	251	1,723	1,533	190	57	95,053	96,925	329,100	1,725	0
06019005704	5,314	2,733	2,581	3,441	97	11	309	0	562	894	2,519	685	5,300	1,680	1,323	3,361	464	686	1,680	999	681	131	54,660	53,278	246,800	1,258	0
06019005801	4,315	1,999	2,316	2,767	45	78	576	10	350	489	1,733	753	4,306	1,613	971	2,825	405	353	1,613	978	635	177	59,327	71,298	235,500	1,719	0
06019005802	5,582	3,039	2,543	2,944	253	0	747	0	637	1,001	1,610	861	5,533	1,590	1,323	3,575	358	361	1,590	1,498	92	36	144,107	159,306	418,300	1,125	0
06019005804	6,331	3,067	3,264	4,220	118	41	1,228	49	358	317	2,357	707	6,297	1,942	1,437	4,100	579	674	1,942	1,430	512	175	68,790	79,375	213,800	1,489	0
06019005805	7,160	3,493	3,667	3,444	260	77	1,787	0	602	990	2,454	465	7,143	2,096	1,826	3,948	316	179	2,096	1,940	156	86	101,406	101,016	344,100	1,771	0
06019005904	6,403	3,190	3,213	3,492	120	21	1,775	0	513	482	1,868	909	6,396	1,895	1,498	4,021	387	392	1,895	1,644	251	65	94,253	104,826	382,000	1,543	0
06019005906	2,222	1,155	1,067	1,775	0	7	246	0	169	25	661	433	2,222	724	596	1,620	249	219	724	495	229	52	88,063	90,238	435,100	1,002	0
06019005907	3,488	1,558	1,930	2,514	32	1	484	41	200	216	806	374	3,473	1,034	924	2,104	221	188	1,034	740	294	0	97,500	99,038	370,300	1,991	0
06019005911	6,791	3,386	3,405	4,725	95	8	1,070	0	335	558	2,191	748	6,769	2,126	1,798	4,385	247	280	2,126	1,736	390	55	102,656	109,853	354,500	1,913	0
06019005912	7,464	3,579	3,885	5,971	175	43	590	0	236	449	2,490	917	7,445	2,433	1,938	4,953	413	295	2,433	2,244	189	9	102,804	125,764	394,400	2,153	0
06019005913	3,184	1,688	1,496	1,665	115	63	261	0	940	140	1,237	178	3,174	855	817	1,847	246	184	855	725	130	0	109,323	109,530	391,200	1,810	0
06019005914	4,825	2,252	2,573	2,398	24	185	1,276	0	353	589	1,774	644	4,818	1,363	1,170	2,957	316	373	1,363	1,244	119	74	133,107	134,500	389,600	2,266	0
06019005915	4,631	2,046	2,585	3,530	20	70	355	1	451	204	824	1,185	4,613	1,600	1,387	3,181	164	180	1,600	1,480	120	106	104,508	116,544	485,400	1,718	0
06019005916	2,590	1,101	1,489	1,780	1	24	556	0	160	69	775	359	2,579	786	678	1,709	212	239	786	735	51	163	123,194	128,226	472,700	-6	0
06019006001	5,847	2,991	2,856	4,161	0	119	205	0	479	883	4,252	511	5,821	1,796	1,456	3,502	542	470	1,796	1,565	231	0	81,750	89,167	296,200	885	0
06019006002	4,934	2,605	2,329	3,761	12	7	17	0	779	358	3,871	787	4,792	1,455	1,140	3,230	415	367	1,455	606	849	149	50,223	65,071	188,200	944	0
06019006101	3,630	1,777	1,853	1,426	0	244	552	68	1,042	298	2,524	118	3,630	759	663	2,102	220	324	759	617	142	39	88,220	85,046	275,700	783	0
06019006102	4,704	2,745	1,959	3,527	0	14	13	0	1,136	14	3,683	484	4,704	1,390	1,105	2,827	431	413	1,390	651	739	114	42,700	43,417	240,800	945	0
06019006201	2,700	1,293	1,407	2,084	1	0	48	0	511	56	2,486	199	2,695	739	624	1,399	213	197	739	346	393	33	32,542	33,917	188,300	927	0
06019006202	6,334	3,200	3,134	4,107	0	106	14	0	1,878	229	5,794	750	6,334	1,773	1,485	3,801	645	567	1,773	854	919	115	51,336	51,307	237,900	980	0
06019006301	5,610	2,869	2,741	3,841	139	154	306	0	413	757	3,812	578	5,598	1,563	1,197	3,332	419	283	1,563	1,151	412	46	67,264	71,524	324,500	905	0
06019006302	2,076	878	1,198	1,931	8	1	15	0	19	102	511	291	2,053	839	606	1,427	86	228	839	669	170	175	85,169	102,177	420,100	1,266	0
06019006405	5,581	2,789	2,792	4,521	142	109	332	0	26	451	743	1,153	5,549	2,008	1,439	3,969	546	545	2,008	1,606	402	188	79,853	81,969	403,200	1,308	0
06019006406	2,201	1,146	1,055	1,876	3	97	14	14	23	174	533	316	2,187	759	615	1,579	184	85	759	585	174	118	70,597	74,550	359,800	1,073	0
06019006407	2,407	1,243	1,164	2,067	45	132	13	0	30	120	120	509	2,407	830	618	1,694	144	109	830	749	81	423	101,042	126,324	382,100	487	0
06019006408	876	416	460	656	19	68	0	0	36	97	133	232	863	376	270	671	66	49	376	332	44	342	61,731	87,143	280,000	1,682	0
06019006409	1,771	942	829	1,329	3	268	2	2	18	149	161	658	1,761	689	520	1,403	207	156	689	573	116	2,929	68,882	82,292	369,900	796	0
06019006410	2,438	1,361	1,077	2,036	66	57	259	0	5	15	286	676	2,385	864	688	1,954	256	165	864	785	79	300	70,147	76,277	233,800	-6	0
06019006411	3,517	1,961	1,556	3,279	0	0	112	0	20	106	785	559	3,516	1,309	818	2,272	323	324	1,309	929	380	618	41,607	85,147	270,400	-6	0
06019006501	6,514	3,273	3,241	4,161	117	15	19	0	1,375	827	6,071	450	6,503	1,672	1,453	3,227	422	379	1,672	613	1,059	111	29,224	29,393	159,100	833	0
06019006502	4,431	2,234	2,197	2,604	0	0	0	53	1,357	417	4,126	411	4,431	1,255	991	2,507	209	293	1,255	542	713	107	22,355	27,827	206,800	636	0
06019006602	6,074	3,036	3,038	3,988	107	61	119	22	1,346	431	5,357	699	5,972	1,568	1,337	3,346	478	370	1,568	697	871	96	40,281	41,812	131,500	943	0
06019006603	2,457	1,289	1,168	1,990	106	0	76	6	148	131	1,385	202	2,240	687	601	1,318	190	144	687	370	317	49	46,250	49,013	253,100	1,123	0
06019006605	2,229	998	1,231	1,761	0	17	39	0	398	14	1,636	206	2,214	542	463	1,108	164	129	542	367	175	0	46,950	46,975	216,400	936	0
06019006606	5,622	3,087	2,535	4,903	0	0	10	0	464	245	5,528	468	5,622	1,300	1,181	3,263	372	473	1,300	644	656	36	40,982	41,250	174,500	991	0
06019006700	6,343	3,034	3,309	4,411	168	9	283	0	418	1,054	4,186	719	6,343	2,136	1,700	4,151	479	601	2,136	1,384	752	190	62,604	67,027	233,500	981	0
06019006802	3,090	1,717	1,373	2,294	37	0	59	0	316	384	2,389	619	3,051	1,110	800	2,046	218	134	1,110	571	539	110	41,488	53,533	232,700	690	0
06019006900	3,249	1,692	1,557	1,977	0	9	123	0	638	502	2,706	279	3,249	921	789	1,824	129	220	921	527	394	50	47,094	46,875	319,300	775	0
06019007002	5,109	2,565	2,544	4,077	6	122	22	0	327	555	4,538	527	5,054	1,589	1,229	3,068	325	647	1,589	528	1,061	74	44,236	45,907	171,400	821	0
06019007003	7,639	3,900	3,739	6,322	2	23	151	0	557	584	6,333	893	7,630	1,965	1,440	4,762	732	534	1,965	1,313	652	153	51,756	57,664	194,500	1,054	0
06019007004	5,649	2,765	2,884	4,268	217	55	230	0	629	250	3,849	903	5,575	1,911	1,580	3,795	519	458	1,911	1,335	576	84	51,922	62,353	245,100	1,120	0
06019007101	5,437	2,745	2,692	4,367	26	110	67	0	605	262	4,998	480	5,437	1,384	1,097	2,846	428	391	1,384	682	702	90	35,855	35,974	164,600	1,004	0
06019007102	2,430	1,283	1,147	1,048	2	7	0	0	1,298	75	2,406	189	2,425	816	458	1,483	432	141	816	382	434	72	23,189	24,020	136,000	925	1
06019007202	5,821	2,773	3,048	4,205	81	53	231	0	865	386	3,676	814	5,821	1,642	1,080	3,376	379	413	1,642	1,166	476	79	68,333	88,333	231,400	1,007	0
06019007203	1,474	734	740	1,250	0	56	151	0	0	17	267	277	1,474	516	430	1,011	78	110	516	492	24	0	108,851	108,649	412,700	-6	0
06019007204	6,403	2,619	3,784	4,955	9	46	678	0	335	380	2,909	764	6,315	2,130	1,656	4,233	585	615	2,130	1,148	982	153	69,811	74,500	296,000	1,138	0
06019007300	4,377	2,343	2,034	3,181	206	13	339	0	418	220	2,501	850	4,359	1,323	1,072	3,020	302	433	1,323	666	657	103	63,495	76,439	354,900	1,158	0
06019007400	3,386	1,557	1,829	2,604	0	53	0	0	621	108	2,447	426	3,386	1,077	782	2,012	173	211	1,077	607	470	70	46,654	54,500	227,300	941	0
06019007500	5,269	2,745	2,524	2,776	231	0	227	0	1,296	739	3,532	618	5,243	1,426	1,228	3,264	552	407	1,426	802	624	101	53,801	54,877	198,300	1,036	0
06019007600	4,261	2,523	1,738	3,232	23	3	100	0	669	234	3,057	570	4,096	1,232	868	2,702	333	255	1,232	563	669	60	46,582	45,364	270,900	749	0
06019007700	5,046	2,424	2,622	2,876	7	12	92	0	1,951	108	3,710	547	5,023	1,396	1,270	3,304	387	414	1,396	658	738	256	51,384	51,696	177,900	870	0
06019007801	3,177	1,640	1,537	1,011	23	213	0	0	1,422	508	3,132	297	3,177	868	744	2,237	280	98	868	241	627	10	50,000	50,781	150,300	922	0
06019007802	4,845	2,599	2,246	2,102	17	313	19	0	2,156	238	4,378	267	4,656	1,186	979	2,601	181	114	1,186	158	1,028	132	23,929	25,590	187,500	681	0
06019007903	6,112	4,779	1,333	2,878	384	159	96	19	2,109	467	4,194	376	2,777	947	687	4,650	1,285	130	947	506	441	122	60,731	62,008	200,000	1,093	0
06019008000	5,262	2,510	2,752	3,165	91	45	98	0	1,556	307	2,873	851	5,064	1,773	1,176	3,505	364	298	1,773	1,118	655	250	74,653	87,813	204,800	818	1
06019008100	6,785	3,350	3,435	3,661	28	238	133	72	2,049	604	4,313	620	6,709	2,124	1,714	3,901	455	607	2,124	1,132	992	149	57,188	51,357	183,200	819	0
06019008200	6,550	3,184	3,366	3,311	40	2	0	0	2,935	262	6,182	618	6,534	1,639	1,484	3,652	349	484	1,639	705	934	121	37,351	42,868	193,800	777	0
06019008301	5,695	2,681	3,014	1,858	0	0	0	0	3,763	74	5,246	366	5,695	1,323	1,133	2,886	291	329	1,323	627	696	68	28,059	26,533	151,300	913	0
06019008303	4,112	2,244	1,868	1,404	31	0	0	0	2,595	82	4,112	255	4,112	830	787	1,793	222	185	830	571	259	30	44,745	43,954	212,300	809	0
06019008304	4,074	2,581	1,493	2,170	282	9	38	0	1,560	15	3,519	271	3,142	870	645	2,630	461	135	870	221	649	123	38,023	38,239	168,400	647	0
06019008402	1,101	540	561	618	0	0	0	0	409	74	883	86	1,101	278	234	696	80	78	278	95	183	49	52,222	43,636	236,000	581	0
06019008403	1,429	669	760	516	0	0	0	0	909	4	1,309	197	1,429	441	370	942	113	198	441	393	48	22	50,394	52,037	199,400	-6	1
06019008404	3,463	1,838	1,625	1,572	0	0	0	0	1,881	10	3,317	377	3,463	945	881	1,912	260	161	945	302	643	26	29,602	26,769	185,000	660	0
06019008405	3,238	1,780	1,458	2,205	0	0	4	0	979	50	2,896	257	3,212	802	659	1,801	236	186	802	321	481	38	38,710	39,476	124,900	641	0
06019008501	5,372	2,582	2,790	4,128	55	0	19	0	688	482	5,122	432	5,372	1,215	1,075	3,018	472	502	1,215	455	760	115	45,018	39,250	182,600	807	1
06019008503	4,715	2,177	2,538	4,093	0	0	37	0	529	56	4,591	273	4,715	1,169	1,014	2,516	418	355	1,169	433	736	54	36,797	34,735	158,100	877	0
06019008504	3,886	1,986	1,900	2,649	0	0	6	0	1,147	84	3,790	258	3,886	862	804	2,031	216	194	862	490	372	32	42,917	37,148	170,000	914	0
06019008600	4,396	2,265	2,131	2,259	729	121	355	0	796	136	2,342	918	4,326	1,289	861	2,765	424	259	1,289	570	719	138	44,957	48,777	314,700	835	1

Thematic Pattern & Reference Maps for Fresno County, CA & 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 06019 .. 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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