Situation & Outlook Report
  Honolulu County, HI  
  .. an information resource developed by ProximityOne .. more about these resources
  .. created 11/05/22

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 Honolulu County, HI.
.. See more details using the table of contents below this summary.

Metro Counties and Population Change; 2010-2030
Honolulu County, HI is part of the Urban Honolulu, HI metro/CBSA (46520).
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
Honolulu County, HI	956,320	1,013,227	1,000,890	988,271	887,319	56,907	6.0	-125,908	-12.4

Residential Construction. September 2022 new authorized residential construction was 362 total units with total value of $91,423,468 compared to September 2021 266 total units with total value of $94,127,435. 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 337,111 (2010) to 356,788 (2020), a change of 19,677 (5.8%). 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 Honolulu County, HI changed from 956,320 (2010) to 963,826 (2020), a change of 7,506 (0.8%).

Components of population change during the 2010-2020 period were births 129,742, deaths 77,363, and net migration -44,259. The population natural increase, births less deaths, was 52,379.

The 7/1/20 model-based population estimate was 1,013,227 compared to the 7/1/21 model-based population estimate of 1,000,890. Components of change over the year were births 11,366, deaths 9,898, international migration 652, domestic migration -14,338. The net migration was -13,686. The natural increase was 1,468.

Income. The median household income changed from $67,519 in 2010 to $89,584, a change of $22,065 ( 32.7%).

Poverty. The number of people in poverty (all ages) changed from 87,411 in 2010 to 74,186, a change of -13,225 ( -15.1%). The poverty rate (all ages) changed from 9.5 in 2010 to 8.0, a change of -1.5 ( -15.8%).

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.

Honolulu 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

$67,519

25,409

12.3

206,268

15,704

10.8

145,394

87,411

9.5

924,948

2011

$65,489

28,886

13.9

208,029

19,481

13.3

146,463

95,769

10.3

933,449

2012

$70,779

31,779

15.3

207,982

20,683

14.3

144,603

98,870

10.4

946,558

2013

$72,649

25,612

12.2

210,087

17,361

11.9

145,513

91,757

9.6

953,034

2014

$73,985

26,685

12.8

208,577

18,177

12.5

144,986

93,994

9.8

958,889

2015

$76,544

24,207

11.5

211,283

15,580

10.6

146,506

88,536

9.2

967,521

2016

$80,012

19,779

9.5

207,672

12,794

8.9

144,072

81,341

8.5

960,303

2017

$80,947

20,432

9.9

205,636

12,841

9.0

142,978

79,084

8.3

956,356

2018

$83,695

20,035

9.8

203,823

13,104

9.1

143,822

73,345

7.7

948,545

2019

$86,946

18,533

9.2

201,195

12,380

8.7

142,709

74,282

7.9

944,083

2020

$89,584

17,766

9.1

194,924

11,556

8.4

137,379

74,186

8.0

930,564

Hawaii

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

$62,774

43,595

14.7

297,073

27,307

13.0

210,148

146,923

11.1

1,326,381

2011

$62,071

50,172

16.8

299,285

33,653

15.9

211,461

161,606

12.1

1,338,541

2012

$66,086

51,557

17.2

299,357

33,910

16.2

209,093

159,988

11.8

1,356,821

2013

$67,798

43,574

14.4

302,288

29,374

13.9

210,790

153,375

11.2

1,367,661

2014

$69,549

45,637

15.2

300,993

31,378

14.9

211,163

158,266

11.5

1,379,800

2015

$73,097

44,299

14.5

305,442

28,665

13.4

213,778

149,091

10.7

1,394,130

2016

$74,659

33,801

11.2

301,349

21,877

10.4

210,909

132,597

9.5

1,389,436

2017

$77,936

35,572

11.9

299,434

22,463

10.7

210,341

132,201

9.5

1,388,545

2018

$80,527

35,184

11.8

297,429

22,819

10.8

211,808

124,400

9.0

1,382,453

2019

$83,734

33,038

11.2

294,271

22,208

10.5

210,829

124,650

9.0

1,379,102

2020

$86,878

29,682

10.4

286,359

20,055

9.8

204,219

121,182

8.9

1,366,396

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 Honolulu County, HI to other areas using this interactive table.

Examine GDP components and compare Honolulu County, HI to other areas using this interactive table.

02. How & Why Honolulu County, HI is Changing .. goto topics
Honolulu County, HI (15003), part of Urban Honolulu, HI MSA (46520), changed in population from 956,320 (2010) to 963,826 (2020), a change of 7,506 (0.8%).
Factors accounting the change over the decade 2010 to 2020 include:
  • Births 2010-2020: 129,742
  • Deaths 2010-2020: 77,363
  • Natural Increase 2010-2020: 52,379
  • Net Migration 2010-2020: -44,259

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

Population 7/1/20	1,013,227
Births 6/30/19-7/1/20	11,536
Deaths 6/30/19-7/1/20	10,236
Natural Increase 6/30/19-7/1/20	1,300
International Migration 6/30/19-7/1/20	92
Domestic Migration 6/30/19-7/1/20	-14,412
Net Migration 6/30/19-7/1/20	-14,320
Population 7/1/21	1,000,890
Births 6/30/20-7/1/21	11,366
Deaths 6/30/20-7/1/21	9,898
Natural Increase 6/30/20-7/1/21	1,468
International Migration 6/30/20-7/1/21	652
Domestic Migration 6/30/20-7/1/21	-14,338
Net Migration 6/30/20-7/1/21	-13,686

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

Honolulu County, HI .. Census 2010, Census 2020 and Change 2010-2020
.. using Census 2020 P.L. 94-171 data (released 8/12/21)
.. use this Interactive Table to view/rank/compare counties 2010-2020.
.. use the VDA Web GIS to access/map these data to the census block level.

Subject Matter Item	2010	2010%	2020	2020%	2010-20 Change	2010-20% Change
Total population	953,207	100.0	1,016,508	100.0	63,301	6.6
One race	740,171	77.7	767,822	75.5	27,651	3.7
White alone	198,732	20.8	188,462	18.5	-10,270	-5.2
Black alone	19,256	2.0	20,723	2.0	1,467	7.6
American India/Alaskan Native alone	2,438	0.3	2,278	0.2	-160	-6.6
Asian alone	418,410	43.9	436,853	43.0	18,443	4.4
Native Hawaiian and Other Pacific Islander alone	90,878	9.5	102,099	10.0	11,221	12.3
Other race	10,457	1.1	17,407	1.7	6,950	66.5
Two or more races	213,036	22.3	248,686	24.5	35,650	16.7
White, Non-Hispanic	181,684	19.1	175,530	17.3	-6,154	-3.4
Black Non-Hispanic	17,929	1.9	19,356	1.9	1,427	8.0
Hispanic (of any race)	77,433	8.1	92,322	9.1	14,889	19.2
Total population, 18 years or older	742,707	77.9	809,839	79.7	67,132	9.0
One race	611,873	64.2	643,944	63.3	32,071	5.2
White alone	169,467	17.8	162,201	16.0	-7,266	-4.3
Black alone	14,853	1.6	16,769	1.6	1,916	12.9
American India/Alaskan Native alone	2,000	0.2	1,939	0.2	-61	-3.1
Asian alone	353,807	37.1	376,175	37.0	22,368	6.3
Native Hawaiian and Other Pacific Islander alone	63,543	6.7	72,255	7.1	8,712	13.7
Other race	8,203	0.9	14,605	1.4	6,402	78.0
Two or more races	130,834	13.7	165,895	16.3	35,061	26.8
White, Non-Hispanic	156,627	16.4	152,135	15.0	-4,492	-2.9
Black Non-Hispanic	14,011	1.5	15,873	1.6	1,862	13.3
Hispanic (of any race)	48,734	5.1	62,569	6.2	13,835	28.4
Group Quarters population	35,300	3.7	34,867	3.4	-433	-1.2
Group Quarters, institutionalized population	7,658	0.8	7,243	0.7	-415	-5.4
Group Quarters, noninstitutionalized population	27,642	2.9	27,624	2.7	-18	-0.1
Housing Units	336,899	100.0	370,665	100.0	33,766	10.0
Occupied	311,047	92.3	336,412	90.8	25,365	8.2
Vacant	25,852	7.7	34,253	9.2	8,401	32.5

1.1 Population & Components of Change .. goto topics

Based on Census Bureau model-based population estimates, the Honolulu County, HI population changed from 956,320 in 2010 to 963,826 in 2020, a change of 7,506 (0.8%).

Population/Component	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
Population	956,320	967,510	978,295	986,494	988,002	991,755	993,044	986,973	981,076	973,491	963,826
Births	3,382	13,775	13,511	13,760	13,549	12,995	13,269	12,770	12,324	11,996	11,793
Deaths	1,754	7,068	7,133	7,226	7,465	7,688	7,373	7,851	7,901	8,432	9,226
Natural Increase	1,628	6,707	6,378	6,534	6,084	5,307	5,896	4,919	4,423	3,564	2,567
Net Migration	1,543	4,520	4,574	1,841	-4,497	-1,505	-4,596	-11,010	-10,320	-11,112	-12,154
International	1,608	5,644	8,250	4,632	3,282	5,952	7,082	3,466	3,083	1,745	1,376
Domestic	1,376	-65	-1,124	-3,676	-2,791	-7,779	-7,457	-11,678	-14,476	-13,403	-12,857
Group Quarters	35,715	35,714	35,343	36,063	36,229	36,423	36,654	35,663	35,141	34,411	34,383

Examine population estimates/components of change and compare Honolulu County, HI 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
Balance of Honolulu County 1599990	617,164	624,277	631,149	636,822	637,853	639,493	640,521	636,603	632,913	629,499
Urban Honolulu CDP 1571550	339,121	343,059	346,845	349,237	349,561	351,571	351,747	349,750	346,945	345,064

Examine city/place population estimates and compare places in Honolulu County, HI to other areas using this interactive table.
.. use the county code 15003 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 1053 mover partner areas for Honolulu County, HI. There were a total inbound movers of 58443 and a total outbound movers of 59762, for a net movers of -13722 (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_15003.dbf.

Residence 1 Year Age	Geocode	Moved to 15003	Moved from 15003	Net Movers
Africa	null	152	null	null
Asia	null	7680	null	null
Central America	null	192	null	null
Caribbean	null	97	null	null
Europe	null	1800	null	null
U.S. Island Areas	null	863	null	null
Northern America	null	236	null	null
Oceania and At Sea	null	1231	null	null
South America	null	152	null	null
Baldwin County, Alabama	01003	26	123	-97
Calhoun County, Alabama	01015	24	0	24
Cleburne County, Alabama	01029	0	17	-17
Coffee County, Alabama	01031	45	91	-46
Cullman County, Alabama	01043	5	0	5
Dale County, Alabama	01045	36	208	-172
Dallas County, Alabama	01047	9	0	9
Houston County, Alabama	01069	0	18	-18
Jefferson County, Alabama	01073	26	30	-4
Lawrence County, Alabama	01079	0	7	-7
Limestone County, Alabama	01083	30	0	30
Madison County, Alabama	01089	10	0	10
Mobile County, Alabama	01097	16	0	16
Montgomery County, Alabama	01101	60	7	53
Morgan County, Alabama	01103	0	122	-122
Russell County, Alabama	01113	210	251	-41
Shelby County, Alabama	01117	0	6	-6
Tuscaloosa County, Alabama	01125	81	0	81
Aleutians East Borough, Alaska	02013	0	19	-19
Aleutians West Census Area, Alaska	02016	0	16	-16
Anchorage Municipality, Alaska	02020	220	183	37
Denali Borough, Alaska	02068	0	4	-4
Fairbanks North Star Borough, Alaska	02090	31	45	-14
Juneau City and Borough, Alaska	02110	6	12	-6
Ketchikan Gateway Borough, Alaska	02130	0	4	-4
Kodiak Island Borough, Alaska	02150	0	3	-3
Matanuska-Susitna Borough, Alaska	02170	29	95	-66
North Slope Borough, Alaska	02185	0	20	-20
Petersburg Borough, Alaska	02195	0	1	-1
Sitka City and Borough, Alaska	02220	0	1	-1
Valdez-Cordova Census Area, Alaska	02261	0	48	-48
Cochise County, Arizona	04003	200	30	170
Coconino County, Arizona	04005	12	166	-154
Graham County, Arizona	04009	0	5	-5
Maricopa County, Arizona	04013	408	1024	-616
Mohave County, Arizona	04015	57	0	57
Navajo County, Arizona	04017	0	18	-18
Pima County, Arizona	04019	393	200	193
Pinal County, Arizona	04021	151	302	-151
Yavapai County, Arizona	04025	0	83	-83
Yuma County, Arizona	04027	22	14	8
Dallas County, Arkansas	05039	0	25	-25
Faulkner County, Arkansas	05045	32	54	-22
Garland County, Arkansas	05051	0	8	-8
Lonoke County, Arkansas	05085	0	14	-14
Pulaski County, Arkansas	05119	36	28	8
Saline County, Arkansas	05125	10	0	10
Washington County, Arkansas	05143	0	29	-29
Alameda County, California	06001	168	318	-150
Butte County, California	06007	19	0	19
Colusa County, California	06011	0	10	-10
Contra Costa County, California	06013	207	170	37
El Dorado County, California	06017	38	38	0
Fresno County, California	06019	146	25	121
Humboldt County, California	06023	6	0	6
Imperial County, California	06025	10	18	-8
Inyo County, California	06027	0	43	-43
Kern County, California	06029	35	82	-47
Kings County, California	06031	72	68	4
Los Angeles County, California	06037	1229	1617	-388
Madera County, California	06039	0	22	-22
Marin County, California	06041	6	27	-21
Mendocino County, California	06045	0	24	-24
Mono County, California	06051	0	6	-6
Monterey County, California	06053	240	170	70
Nevada County, California	06057	0	51	-51
Orange County, California	06059	1297	612	685
Placer County, California	06061	58	211	-153
Plumas County, California	06063	0	45	-45
Riverside County, California	06065	392	471	-79
Sacramento County, California	06067	90	189	-99
San Bernardino County, California	06071	476	885	-409
San Diego County, California	06073	1548	2003	-455
San Francisco County, California	06075	246	220	26
San Joaquin County, California	06077	38	207	-169
San Luis Obispo County, California	06079	2	112	-110
San Mateo County, California	06081	79	190	-111
Santa Barbara County, California	06083	124	128	-4
Santa Clara County, California	06085	211	239	-28
Santa Cruz County, California	06087	10	56	-46
Shasta County, California	06089	61	24	37
Solano County, California	06095	154	362	-208
Sonoma County, California	06097	49	63	-14
Stanislaus County, California	06099	10	0	10
Sutter County, California	06101	21	0	21
Tulare County, California	06107	10	173	-163
Ventura County, California	06111	34	401	-367
Yolo County, California	06113	21	41	-20
Yuba County, California	06115	90	24	66
Adams County, Colorado	08001	6	24	-18
Arapahoe County, Colorado	08005	132	372	-240
Archuleta County, Colorado	08007	0	26	-26
Baca County, Colorado	08009	0	4	-4
Boulder County, Colorado	08013	14	260	-246
Broomfield County, Colorado	08014	26	114	-88
Clear Creek County, Colorado	08019	16	0	16
Denver County, Colorado	08031	84	206	-122
Douglas County, Colorado	08035	48	45	3
Elbert County, Colorado	08039	12	0	12
El Paso County, Colorado	08041	671	1244	-573
Garfield County, Colorado	08045	29	182	-153
Jefferson County, Colorado	08059	26	85	-59
Larimer County, Colorado	08069	33	33	0
Mesa County, Colorado	08077	5	28	-23
Ouray County, Colorado	08091	0	3	-3
Pitkin County, Colorado	08097	7	0	7
Weld County, Colorado	08123	10	6	4
Fairfield County, Connecticut	09001	39	80	-41
Hartford County, Connecticut	09003	25	0	25
New Haven County, Connecticut	09009	58	11	47
New London County, Connecticut	09011	240	362	-122
Tolland County, Connecticut	09013	0	49	-49
Windham County, Connecticut	09015	15	14	1
Kent County, Delaware	10001	9	42	-33
New Castle County, Delaware	10003	18	0	18
District of Columbia, District of Columbia	11001	343	59	284
Alachua County, Florida	12001	2	70	-68
Bay County, Florida	12005	0	42	-42
Brevard County, Florida	12009	161	31	130
Broward County, Florida	12011	22	88	-66
Clay County, Florida	12019	122	112	10
Collier County, Florida	12021	25	0	25
DeSoto County, Florida	12027	0	15	-15
Duval County, Florida	12031	167	156	11
Escambia County, Florida	12033	56	199	-143
Flagler County, Florida	12035	13	0	13
Hardee County, Florida	12049	3	0	3
Hernando County, Florida	12053	11	0	11
Hillsborough County, Florida	12057	236	222	14
Indian River County, Florida	12061	0	14	-14
Jackson County, Florida	12063	5	0	5
Lee County, Florida	12071	68	65	3
Leon County, Florida	12073	48	77	-29
Manatee County, Florida	12081	0	72	-72
Marion County, Florida	12083	85	0	85
Martin County, Florida	12085	0	13	-13
Miami-Dade County, Florida	12086	147	27	120
Okaloosa County, Florida	12091	118	11	107
Orange County, Florida	12095	112	337	-225
Osceola County, Florida	12097	0	77	-77
Palm Beach County, Florida	12099	0	82	-82
Pasco County, Florida	12101	246	13	233
Pinellas County, Florida	12103	116	27	89
Polk County, Florida	12105	119	0	119
St. Johns County, Florida	12109	0	125	-125
Santa Rosa County, Florida	12113	65	42	23
Sarasota County, Florida	12115	33	99	-66
Seminole County, Florida	12117	31	93	-62
Volusia County, Florida	12127	12	38	-26
Baldwin County, Georgia	13009	0	7	-7
Bryan County, Georgia	13029	15	50	-35
Camden County, Georgia	13039	23	100	-77
Carroll County, Georgia	13045	4	0	4
Chatham County, Georgia	13051	300	66	234
Chattahoochee County, Georgia	13053	78	66	12
Cherokee County, Georgia	13057	20	0	20
Cobb County, Georgia	13067	11	40	-29
Columbia County, Georgia	13073	226	26	200
Decatur County, Georgia	13087	0	6	-6
DeKalb County, Georgia	13089	0	79	-79
Forsyth County, Georgia	13117	0	192	-192
Fulton County, Georgia	13121	62	49	13
Gwinnett County, Georgia	13135	21	0	21
Houston County, Georgia	13153	54	11	43
Jasper County, Georgia	13159	0	4	-4
Liberty County, Georgia	13179	117	25	92
Long County, Georgia	13183	0	89	-89
Lowndes County, Georgia	13185	19	6	13
McDuffie County, Georgia	13189	0	214	-214
McIntosh County, Georgia	13191	2	0	2
Mitchell County, Georgia	13205	25	0	25
Muscogee County, Georgia	13215	497	200	297
Newton County, Georgia	13217	0	125	-125
Paulding County, Georgia	13223	28	0	28
Richmond County, Georgia	13245	499	72	427
Stewart County, Georgia	13259	0	5	-5
Treutlen County, Georgia	13283	19	0	19
Hawaii County, Hawaii	15001	1980	1531	449
Kalawao County, Hawaii	15005	0	1	-1
Kauai County, Hawaii	15007	409	322	87
Maui County, Hawaii	15009	935	1660	-725
Ada County, Idaho	16001	93	60	33
Bannock County, Idaho	16005	0	21	-21
Canyon County, Idaho	16027	69	15	54
Elmore County, Idaho	16039	15	6	9
Kootenai County, Idaho	16055	58	0	58
Latah County, Idaho	16057	7	9	-2
Twin Falls County, Idaho	16083	7	0	7
Champaign County, Illinois	17019	234	0	234
Cook County, Illinois	17031	514	255	259
DeKalb County, Illinois	17037	13	0	13
Henry County, Illinois	17073	0	14	-14
Kankakee County, Illinois	17091	9	0	9
Lake County, Illinois	17097	121	124	-3
Macoupin County, Illinois	17117	0	17	-17
Madison County, Illinois	17119	38	14	24
Peoria County, Illinois	17143	10	0	10
St. Clair County, Illinois	17163	34	24	10
Shelby County, Illinois	17173	0	10	-10
Tazewell County, Illinois	17179	12	0	12
Will County, Illinois	17197	59	0	59
Winnebago County, Illinois	17201	0	8	-8
Woodford County, Illinois	17203	0	4	-4
Allen County, Indiana	18003	0	64	-64
Brown County, Indiana	18013	0	12	-12
Dubois County, Indiana	18037	27	0	27
Elkhart County, Indiana	18039	0	8	-8
Grant County, Indiana	18053	0	3	-3
Hamilton County, Indiana	18057	5	368	-363
Hendricks County, Indiana	18063	16	0	16
Howard County, Indiana	18067	0	12	-12
Kosciusko County, Indiana	18085	173	0	173
Lake County, Indiana	18089	10	0	10
Madison County, Indiana	18095	0	4	-4
Marion County, Indiana	18097	48	4	44
Monroe County, Indiana	18105	65	0	65
St. Joseph County, Indiana	18141	30	0	30
Tippecanoe County, Indiana	18157	0	28	-28
Vigo County, Indiana	18167	13	36	-23
Bremer County, Iowa	19017	0	13	-13
Buena Vista County, Iowa	19021	0	3	-3
Clayton County, Iowa	19043	0	6	-6
Clinton County, Iowa	19045	0	45	-45
Lee County, Iowa	19111	132	0	132
Linn County, Iowa	19113	8	22	-14
Palo Alto County, Iowa	19147	0	9	-9
Polk County, Iowa	19153	72	80	-8
Pottawattamie County, Iowa	19155	0	14	-14
Sioux County, Iowa	19167	0	11	-11
Story County, Iowa	19169	21	0	21
Warren County, Iowa	19181	25	0	25
Winnebago County, Iowa	19189	0	2	-2
Woodbury County, Iowa	19193	16	0	16
Bourbon County, Kansas	20011	5	0	5
Cherokee County, Kansas	20021	0	25	-25
Douglas County, Kansas	20045	53	0	53
Geary County, Kansas	20061	247	51	196
Harvey County, Kansas	20079	0	5	-5
Johnson County, Kansas	20091	24	58	-34
Leavenworth County, Kansas	20103	213	39	174
Nemaha County, Kansas	20131	10	0	10
Pratt County, Kansas	20151	0	4	-4
Rawlins County, Kansas	20153	0	1	-1
Reno County, Kansas	20155	0	18	-18
Riley County, Kansas	20161	170	18	152
Sedgwick County, Kansas	20173	0	56	-56
Shawnee County, Kansas	20177	10	0	10
Wyandotte County, Kansas	20209	38	0	38
Barren County, Kentucky	21009	12	0	12
Estill County, Kentucky	21065	0	3	-3
Fayette County, Kentucky	21067	0	45	-45
Hardin County, Kentucky	21093	196	88	108
Jefferson County, Kentucky	21111	0	110	-110
Madison County, Kentucky	21151	6	0	6
Meade County, Kentucky	21163	0	24	-24
Morgan County, Kentucky	21175	13	0	13
Taylor County, Kentucky	21217	0	29	-29
Trimble County, Kentucky	21223	0	22	-22
Warren County, Kentucky	21227	0	14	-14
Wolfe County, Kentucky	21237	0	27	-27
Beauregard Parish, Louisiana	22011	0	2	-2
Bossier Parish, Louisiana	22015	47	0	47
Caddo Parish, Louisiana	22017	50	78	-28
Calcasieu Parish, Louisiana	22019	15	0	15
Jefferson Parish, Louisiana	22051	0	40	-40
Lafayette Parish, Louisiana	22055	3	0	3
Livingston Parish, Louisiana	22063	0	70	-70
Orleans Parish, Louisiana	22071	60	30	30
Plaquemines Parish, Louisiana	22075	11	0	11
Rapides Parish, Louisiana	22079	0	53	-53
St. James Parish, Louisiana	22093	0	11	-11
Vernon Parish, Louisiana	22115	101	147	-46
Washington Parish, Louisiana	22117	0	36	-36
Androscoggin County, Maine	23001	0	37	-37
Cumberland County, Maine	23005	24	58	-34
Knox County, Maine	23013	0	4	-4
Lincoln County, Maine	23015	0	10	-10
Penobscot County, Maine	23019	0	3	-3
Waldo County, Maine	23027	0	7	-7
York County, Maine	23031	0	168	-168
Anne Arundel County, Maryland	24003	170	697	-527
Baltimore County, Maryland	24005	10	28	-18
Calvert County, Maryland	24009	11	28	-17
Carroll County, Maryland	24013	14	0	14
Charles County, Maryland	24017	13	82	-69
Frederick County, Maryland	24021	186	21	165
Harford County, Maryland	24025	0	104	-104
Howard County, Maryland	24027	64	99	-35
Montgomery County, Maryland	24031	72	398	-326
Prince George's County, Maryland	24033	75	221	-146
Queen Anne's County, Maryland	24035	12	0	12
St. Mary's County, Maryland	24037	4	106	-102
Washington County, Maryland	24043	0	45	-45
Baltimore city, Maryland	24510	0	4	-4
Barnstable County, Massachusetts	25001	32	6	26
Berkshire County, Massachusetts	25003	0	5	-5
Bristol County, Massachusetts	25005	0	47	-47
Dukes County, Massachusetts	25007	70	0	70
Essex County, Massachusetts	25009	67	13	54
Hampden County, Massachusetts	25013	51	0	51
Hampshire County, Massachusetts	25015	9	0	9
Middlesex County, Massachusetts	25017	51	157	-106
Norfolk County, Massachusetts	25021	48	57	-9
Plymouth County, Massachusetts	25023	48	0	48
Suffolk County, Massachusetts	25025	66	140	-74
Benzie County, Michigan	26019	0	16	-16
Berrien County, Michigan	26021	0	6	-6
Calhoun County, Michigan	26025	0	4	-4
Chippewa County, Michigan	26033	28	0	28
Delta County, Michigan	26041	20	0	20
Eaton County, Michigan	26045	4	0	4
Grand Traverse County, Michigan	26055	0	14	-14
Houghton County, Michigan	26061	0	75	-75
Ingham County, Michigan	26065	0	6	-6
Isabella County, Michigan	26073	0	19	-19
Kent County, Michigan	26081	30	33	-3
Lapeer County, Michigan	26087	7	0	7
Leelanau County, Michigan	26089	0	3	-3
Lenawee County, Michigan	26091	14	0	14
Livingston County, Michigan	26093	0	15	-15
Macomb County, Michigan	26099	67	51	16
Marquette County, Michigan	26103	0	37	-37
Midland County, Michigan	26111	15	22	-7
Muskegon County, Michigan	26121	0	26	-26
Otsego County, Michigan	26137	0	6	-6
Ottawa County, Michigan	26139	2	0	2
St. Clair County, Michigan	26147	0	36	-36
St. Joseph County, Michigan	26149	14	0	14
Washtenaw County, Michigan	26161	7	74	-67
Wayne County, Michigan	26163	54	0	54
Anoka County, Minnesota	27003	0	10	-10
Beltrami County, Minnesota	27007	27	0	27
Blue Earth County, Minnesota	27013	24	0	24
Cass County, Minnesota	27021	0	1	-1
Clay County, Minnesota	27027	0	3	-3
Dakota County, Minnesota	27037	40	11	29
Grant County, Minnesota	27051	0	1	-1
Hennepin County, Minnesota	27053	25	18	7
Isanti County, Minnesota	27059	0	12	-12
Mower County, Minnesota	27099	0	2	-2
Olmsted County, Minnesota	27109	24	0	24
Ramsey County, Minnesota	27123	0	16	-16
Rice County, Minnesota	27131	0	4	-4
Washington County, Minnesota	27163	0	21	-21
Wright County, Minnesota	27171	22	4	18
Bolivar County, Mississippi	28011	0	7	-7
Harrison County, Mississippi	28047	112	94	18
Hinds County, Mississippi	28049	27	0	27
Jackson County, Mississippi	28059	13	30	-17
Lafayette County, Mississippi	28071	0	16	-16
Lauderdale County, Mississippi	28075	0	37	-37
Lowndes County, Mississippi	28087	0	81	-81
Neshoba County, Mississippi	28099	0	9	-9
Pearl River County, Mississippi	28109	0	19	-19
Warren County, Mississippi	28149	0	5	-5
Clay County, Missouri	29047	20	28	-8
Clinton County, Missouri	29049	0	26	-26
Jackson County, Missouri	29095	51	35	16
Jasper County, Missouri	29097	0	10	-10
Laclede County, Missouri	29105	7	0	7
Nodaway County, Missouri	29147	59	0	59
Pettis County, Missouri	29159	0	93	-93
Platte County, Missouri	29165	19	9	10
Pulaski County, Missouri	29169	248	158	90
Ray County, Missouri	29177	0	4	-4
St. Charles County, Missouri	29183	0	36	-36
St. Louis County, Missouri	29189	234	74	160
Taney County, Missouri	29213	0	16	-16
Webster County, Missouri	29225	0	43	-43
St. Louis city, Missouri	29510	8	8	0
Beaverhead County, Montana	30001	0	5	-5
Cascade County, Montana	30013	48	7	41
Gallatin County, Montana	30031	6	4	2
Lake County, Montana	30047	81	0	81
Missoula County, Montana	30063	0	9	-9
Rosebud County, Montana	30087	49	0	49
Sweet Grass County, Montana	30097	8	0	8
Douglas County, Nebraska	31055	140	163	-23
Lancaster County, Nebraska	31109	53	5	48
Nemaha County, Nebraska	31127	0	2	-2
Sarpy County, Nebraska	31153	0	31	-31
Thurston County, Nebraska	31173	0	13	-13
Churchill County, Nevada	32001	14	24	-10
Clark County, Nevada	32003	817	2457	-1640
Lyon County, Nevada	32019	6	0	6
Nye County, Nevada	32023	14	0	14
Washoe County, Nevada	32031	114	257	-143
Carson City, Nevada	32510	6	32	-26
Carroll County, New Hampshire	33003	10	0	10
Hillsborough County, New Hampshire	33011	0	68	-68
Merrimack County, New Hampshire	33013	0	48	-48
Rockingham County, New Hampshire	33015	0	15	-15
Strafford County, New Hampshire	33017	0	25	-25
Bergen County, New Jersey	34003	6	9	-3
Burlington County, New Jersey	34005	79	87	-8
Cumberland County, New Jersey	34011	0	16	-16
Gloucester County, New Jersey	34015	39	49	-10
Hudson County, New Jersey	34017	0	25	-25
Hunterdon County, New Jersey	34019	0	3	-3
Mercer County, New Jersey	34021	17	0	17
Middlesex County, New Jersey	34023	103	34	69
Monmouth County, New Jersey	34025	23	3	20
Morris County, New Jersey	34027	19	0	19
Ocean County, New Jersey	34029	5	103	-98
Passaic County, New Jersey	34031	0	18	-18
Somerset County, New Jersey	34035	0	21	-21
Sussex County, New Jersey	34037	0	10	-10
Union County, New Jersey	34039	0	9	-9
Bernalillo County, New Mexico	35001	175	56	119
Chaves County, New Mexico	35005	0	7	-7
Colfax County, New Mexico	35007	0	1	-1
Curry County, New Mexico	35009	0	48	-48
Doña Ana County, New Mexico	35013	32	120	-88
Grant County, New Mexico	35017	32	0	32
Los Alamos County, New Mexico	35028	0	6	-6
McKinley County, New Mexico	35031	0	25	-25
Otero County, New Mexico	35035	19	15	4
Quay County, New Mexico	35037	0	43	-43
Sandoval County, New Mexico	35043	0	8	-8
Santa Fe County, New Mexico	35049	32	13	19
Valencia County, New Mexico	35061	0	12	-12
Albany County, New York	36001	9	0	9
Bronx County, New York	36005	4	0	4
Clinton County, New York	36019	0	61	-61
Dutchess County, New York	36027	0	25	-25
Erie County, New York	36029	31	141	-110
Franklin County, New York	36033	0	3	-3
Jefferson County, New York	36045	417	335	82
Kings County, New York	36047	153	86	67
Madison County, New York	36053	0	7	-7
Monroe County, New York	36055	39	25	14
Nassau County, New York	36059	27	0	27
New York County, New York	36061	61	126	-65
Oneida County, New York	36065	25	11	14
Onondaga County, New York	36067	27	58	-31
Ontario County, New York	36069	21	0	21
Orange County, New York	36071	3	114	-111
Orleans County, New York	36073	0	10	-10
Oswego County, New York	36075	54	0	54
Queens County, New York	36081	173	6	167
Rensselaer County, New York	36083	9	15	-6
Richmond County, New York	36085	30	0	30
Saratoga County, New York	36091	177	0	177
Steuben County, New York	36101	0	6	-6
Suffolk County, New York	36103	35	17	18
Sullivan County, New York	36105	0	9	-9
Tompkins County, New York	36109	0	6	-6
Ulster County, New York	36111	6	6	0
Washington County, New York	36115	0	40	-40
Westchester County, New York	36119	34	0	34
Alamance County, North Carolina	37001	13	0	13
Beaufort County, North Carolina	37013	0	2	-2
Brunswick County, North Carolina	37019	11	0	11
Buncombe County, North Carolina	37021	6	36	-30
Cabarrus County, North Carolina	37025	0	57	-57
Carteret County, North Carolina	37031	0	7	-7
Catawba County, North Carolina	37035	0	9	-9
Chatham County, North Carolina	37037	0	57	-57
Cleveland County, North Carolina	37045	11	0	11
Craven County, North Carolina	37049	32	238	-206
Cumberland County, North Carolina	37051	604	919	-315
Dare County, North Carolina	37055	23	0	23
Durham County, North Carolina	37063	57	14	43
Forsyth County, North Carolina	37067	0	10	-10
Harnett County, North Carolina	37085	100	269	-169
Hoke County, North Carolina	37093	4	0	4
Johnston County, North Carolina	37101	18	0	18
Mecklenburg County, North Carolina	37119	136	93	43
Moore County, North Carolina	37125	15	18	-3
New Hanover County, North Carolina	37129	0	7	-7
Onslow County, North Carolina	37133	349	382	-33
Orange County, North Carolina	37135	3	181	-178
Pasquotank County, North Carolina	37139	7	0	7
Pender County, North Carolina	37141	158	0	158
Perquimans County, North Carolina	37143	5	0	5
Rowan County, North Carolina	37159	14	0	14
Wake County, North Carolina	37183	71	105	-34
Wayne County, North Carolina	37191	28	0	28
Barnes County, North Dakota	38003	0	2	-2
Burleigh County, North Dakota	38015	5	0	5
Cass County, North Dakota	38017	0	23	-23
Divide County, North Dakota	38023	13	0	13
Grand Forks County, North Dakota	38035	55	20	35
Adams County, Ohio	39001	0	30	-30
Athens County, Ohio	39009	17	0	17
Butler County, Ohio	39017	15	0	15
Carroll County, Ohio	39019	13	0	13
Columbiana County, Ohio	39029	12	0	12
Cuyahoga County, Ohio	39035	6	62	-56
Delaware County, Ohio	39041	23	93	-70
Erie County, Ohio	39043	0	89	-89
Fairfield County, Ohio	39045	30	0	30
Franklin County, Ohio	39049	64	52	12
Fulton County, Ohio	39051	10	0	10
Greene County, Ohio	39057	51	0	51
Guernsey County, Ohio	39059	0	10	-10
Hamilton County, Ohio	39061	110	5	105
Lake County, Ohio	39085	0	19	-19
Licking County, Ohio	39089	11	0	11
Lorain County, Ohio	39093	23	7	16
Mahoning County, Ohio	39099	29	8	21
Marion County, Ohio	39101	31	0	31
Medina County, Ohio	39103	21	0	21
Miami County, Ohio	39109	10	0	10
Montgomery County, Ohio	39113	102	0	102
Muskingum County, Ohio	39119	16	0	16
Pickaway County, Ohio	39129	23	0	23
Portage County, Ohio	39133	10	2	8
Ross County, Ohio	39141	8	0	8
Summit County, Ohio	39153	0	64	-64
Warren County, Ohio	39165	29	128	-99
Washington County, Ohio	39167	8	0	8
Wayne County, Ohio	39169	0	4	-4
Bryan County, Oklahoma	40013	15	0	15
Cleveland County, Oklahoma	40027	17	58	-41
Comanche County, Oklahoma	40031	128	423	-295
Creek County, Oklahoma	40037	6	0	6
Garfield County, Oklahoma	40047	106	11	95
Jackson County, Oklahoma	40065	0	59	-59
Lincoln County, Oklahoma	40081	18	0	18
Muskogee County, Oklahoma	40101	16	0	16
Nowata County, Oklahoma	40105	0	20	-20
Oklahoma County, Oklahoma	40109	42	8	34
Okmulgee County, Oklahoma	40111	0	3	-3
Rogers County, Oklahoma	40131	0	9	-9
Tulsa County, Oklahoma	40143	0	66	-66
Wagoner County, Oklahoma	40145	0	15	-15
Woodward County, Oklahoma	40153	0	17	-17
Benton County, Oregon	41003	0	82	-82
Clackamas County, Oregon	41005	35	100	-65
Clatsop County, Oregon	41007	15	106	-91
Columbia County, Oregon	41009	9	24	-15
Deschutes County, Oregon	41017	46	25	21
Douglas County, Oregon	41019	0	59	-59
Jackson County, Oregon	41029	86	145	-59
Jefferson County, Oregon	41031	1	0	1
Josephine County, Oregon	41033	63	14	49
Klamath County, Oregon	41035	6	5	1
Lane County, Oregon	41039	83	129	-46
Lincoln County, Oregon	41041	0	1	-1
Linn County, Oregon	41043	47	32	15
Malheur County, Oregon	41045	17	0	17
Marion County, Oregon	41047	37	23	14
Multnomah County, Oregon	41051	115	327	-212
Polk County, Oregon	41053	83	53	30
Umatilla County, Oregon	41059	0	52	-52
Union County, Oregon	41061	15	0	15
Wallowa County, Oregon	41063	0	2	-2
Washington County, Oregon	41067	133	487	-354
Yamhill County, Oregon	41071	0	87	-87
Allegheny County, Pennsylvania	42003	114	33	81
Berks County, Pennsylvania	42011	0	23	-23
Bucks County, Pennsylvania	42017	137	27	110
Butler County, Pennsylvania	42019	0	65	-65
Cambria County, Pennsylvania	42021	0	21	-21
Centre County, Pennsylvania	42027	0	178	-178
Chester County, Pennsylvania	42029	0	137	-137
Crawford County, Pennsylvania	42039	0	3	-3
Dauphin County, Pennsylvania	42043	9	0	9
Delaware County, Pennsylvania	42045	21	0	21
Erie County, Pennsylvania	42049	7	18	-11
Fayette County, Pennsylvania	42051	14	6	8
Jefferson County, Pennsylvania	42065	0	40	-40
Lehigh County, Pennsylvania	42077	0	23	-23
Luzerne County, Pennsylvania	42079	0	4	-4
Monroe County, Pennsylvania	42089	128	0	128
Philadelphia County, Pennsylvania	42101	226	34	192
Washington County, Pennsylvania	42125	0	21	-21
Westmoreland County, Pennsylvania	42129	0	4	-4
York County, Pennsylvania	42133	15	0	15
Newport County, Rhode Island	44005	83	13	70
Providence County, Rhode Island	44007	51	10	41
Washington County, Rhode Island	44009	8	0	8
Beaufort County, South Carolina	45013	31	116	-85
Berkeley County, South Carolina	45015	141	112	29
Charleston County, South Carolina	45019	86	88	-2
Dorchester County, South Carolina	45035	84	12	72
Florence County, South Carolina	45041	31	0	31
Greenville County, South Carolina	45045	0	175	-175
Horry County, South Carolina	45051	34	72	-38
Jasper County, South Carolina	45053	21	0	21
Lexington County, South Carolina	45063	0	13	-13
Marion County, South Carolina	45067	18	0	18
Oconee County, South Carolina	45073	0	14	-14
Orangeburg County, South Carolina	45075	0	18	-18
Richland County, South Carolina	45079	488	81	407
Sumter County, South Carolina	45085	21	33	-12
York County, South Carolina	45091	0	28	-28
Minnehaha County, South Dakota	46099	10	0	10
Yankton County, South Dakota	46135	0	57	-57
Anderson County, Tennessee	47001	1	28	-27
Blount County, Tennessee	47009	22	0	22
Campbell County, Tennessee	47013	59	0	59
Carter County, Tennessee	47019	2	0	2
Davidson County, Tennessee	47037	34	57	-23
Franklin County, Tennessee	47051	0	71	-71
Hamilton County, Tennessee	47065	15	14	1
Knox County, Tennessee	47093	0	10	-10
Lauderdale County, Tennessee	47097	22	0	22
Maury County, Tennessee	47119	0	92	-92
Montgomery County, Tennessee	47125	137	240	-103
Robertson County, Tennessee	47147	0	33	-33
Rutherford County, Tennessee	47149	0	69	-69
Shelby County, Tennessee	47157	136	74	62
Sullivan County, Tennessee	47163	23	6	17
Washington County, Tennessee	47179	0	53	-53
Williamson County, Tennessee	47187	0	18	-18
Wilson County, Tennessee	47189	0	38	-38
Austin County, Texas	48015	0	70	-70
Bastrop County, Texas	48021	7	3	4
Bell County, Texas	48027	737	1025	-288
Bexar County, Texas	48029	611	902	-291
Brazos County, Texas	48041	0	67	-67
Cameron County, Texas	48061	39	0	39
Chambers County, Texas	48071	0	7	-7
Collin County, Texas	48085	39	139	-100
Comal County, Texas	48091	0	118	-118
Cooke County, Texas	48097	0	13	-13
Coryell County, Texas	48099	54	78	-24
Dallas County, Texas	48113	23	97	-74
Denton County, Texas	48121	20	161	-141
Donley County, Texas	48129	0	6	-6
Ector County, Texas	48135	0	26	-26
Ellis County, Texas	48139	18	0	18
El Paso County, Texas	48141	458	470	-12
Fort Bend County, Texas	48157	33	74	-41
Galveston County, Texas	48167	0	90	-90
Gonzales County, Texas	48177	6	2	4
Grayson County, Texas	48181	0	15	-15
Guadalupe County, Texas	48187	0	71	-71
Harris County, Texas	48201	289	88	201
Hidalgo County, Texas	48215	0	28	-28
Hill County, Texas	48217	0	3	-3
Kerr County, Texas	48265	43	0	43
Kleberg County, Texas	48273	0	198	-198
Lubbock County, Texas	48303	0	85	-85
McLennan County, Texas	48309	44	13	31
Mills County, Texas	48333	0	18	-18
Montague County, Texas	48337	0	7	-7
Montgomery County, Texas	48339	0	26	-26
Nacogdoches County, Texas	48347	45	0	45
Nueces County, Texas	48355	70	19	51
Reeves County, Texas	48389	0	12	-12
Rockwall County, Texas	48397	18	0	18
San Jacinto County, Texas	48407	0	60	-60
San Patricio County, Texas	48409	0	20	-20
Shelby County, Texas	48419	22	0	22
Smith County, Texas	48423	20	0	20
Swisher County, Texas	48437	0	13	-13
Tarrant County, Texas	48439	182	124	58
Tom Green County, Texas	48451	18	55	-37
Travis County, Texas	48453	36	401	-365
Upshur County, Texas	48459	0	89	-89
Walker County, Texas	48471	17	0	17
Wichita County, Texas	48485	16	140	-124
Williamson County, Texas	48491	0	209	-209
Young County, Texas	48503	0	48	-48
Box Elder County, Utah	49003	0	41	-41
Cache County, Utah	49005	0	15	-15
Davis County, Utah	49011	258	47	211
Grand County, Utah	49019	5	0	5
Salt Lake County, Utah	49035	59	686	-627
Sanpete County, Utah	49039	0	5	-5
Summit County, Utah	49043	9	0	9
Utah County, Utah	49049	284	329	-45
Washington County, Utah	49053	12	66	-54
Chittenden County, Vermont	50007	0	14	-14
Rutland County, Vermont	50021	0	29	-29
Washington County, Vermont	50023	18	0	18
Albemarle County, Virginia	51003	0	73	-73
Amherst County, Virginia	51009	0	30	-30
Arlington County, Virginia	51013	48	96	-48
Buchanan County, Virginia	51027	22	0	22
Caroline County, Virginia	51033	194	0	194
Chesterfield County, Virginia	51041	10	48	-38
Fairfax County, Virginia	51059	591	663	-72
Fauquier County, Virginia	51061	33	0	33
Fluvanna County, Virginia	51065	8	0	8
Gloucester County, Virginia	51073	0	10	-10
Henrico County, Virginia	51087	29	0	29
Henry County, Virginia	51089	0	4	-4
James City County, Virginia	51095	0	57	-57
King George County, Virginia	51099	95	2	93
Loudoun County, Virginia	51107	42	11	31
Montgomery County, Virginia	51121	7	45	-38
Pittsylvania County, Virginia	51143	0	26	-26
Prince George County, Virginia	51149	54	289	-235
Prince William County, Virginia	51153	189	186	3
Roanoke County, Virginia	51161	5	0	5
Spotsylvania County, Virginia	51177	16	0	16
Stafford County, Virginia	51179	178	263	-85
Warren County, Virginia	51187	8	0	8
York County, Virginia	51199	170	32	138
Alexandria city, Virginia	51510	132	49	83
Charlottesville city, Virginia	51540	5	12	-7
Chesapeake city, Virginia	51550	35	257	-222
Colonial Heights city, Virginia	51570	0	13	-13
Falls Church city, Virginia	51610	0	27	-27
Hampton city, Virginia	51650	218	24	194
Lynchburg city, Virginia	51680	0	11	-11
Manassas city, Virginia	51683	0	18	-18
Newport News city, Virginia	51700	109	92	17
Norfolk city, Virginia	51710	210	120	90
Petersburg city, Virginia	51730	13	0	13
Portsmouth city, Virginia	51740	48	12	36
Salem city, Virginia	51775	0	23	-23
Suffolk city, Virginia	51800	34	38	-4
Virginia Beach city, Virginia	51810	415	276	139
Williamsburg city, Virginia	51830	5	0	5
Benton County, Washington	53005	39	5	34
Clark County, Washington	53011	84	25	59
Cowlitz County, Washington	53015	45	24	21
Franklin County, Washington	53021	5	0	5
Grays Harbor County, Washington	53027	49	0	49
Island County, Washington	53029	54	75	-21
King County, Washington	53033	685	984	-299
Kitsap County, Washington	53035	200	446	-246
Klickitat County, Washington	53039	0	6	-6
Lewis County, Washington	53041	0	98	-98
Pierce County, Washington	53053	785	651	134
San Juan County, Washington	53055	23	30	-7
Skagit County, Washington	53057	0	69	-69
Snohomish County, Washington	53061	29	352	-323
Spokane County, Washington	53063	38	199	-161
Stevens County, Washington	53065	0	2	-2
Thurston County, Washington	53067	314	516	-202
Walla Walla County, Washington	53071	15	10	5
Whatcom County, Washington	53073	1	116	-115
Whitman County, Washington	53075	0	58	-58
Cabell County, West Virginia	54011	5	0	5
Kanawha County, West Virginia	54039	23	0	23
Mercer County, West Virginia	54055	11	6	5
Monongalia County, West Virginia	54061	18	27	-9
Dane County, Wisconsin	55025	26	0	26
Eau Claire County, Wisconsin	55035	0	11	-11
Forest County, Wisconsin	55041	0	9	-9
Jefferson County, Wisconsin	55055	0	23	-23
Juneau County, Wisconsin	55057	0	11	-11
La Crosse County, Wisconsin	55063	0	62	-62
Milwaukee County, Wisconsin	55079	0	99	-99
Outagamie County, Wisconsin	55087	12	0	12
Polk County, Wisconsin	55095	0	17	-17
Racine County, Wisconsin	55101	12	0	12
St. Croix County, Wisconsin	55109	0	36	-36
Shawano County, Wisconsin	55115	1	0	1
Sheboygan County, Wisconsin	55117	0	19	-19
Trempealeau County, Wisconsin	55121	0	10	-10
Waukesha County, Wisconsin	55133	10	15	-5
Laramie County, Wyoming	56021	23	21	2
Sheridan County, Wyoming	56033	0	4	-4
Sweetwater County, Wyoming	56037	0	2	-2
Teton County, Wyoming	56039	0	7	-7
Bayamón Municipio, Puerto Rico	72021	38	0	38
Caguas Municipio, Puerto Rico	72025	2	0	2
Canóvanas Municipio, Puerto Rico	72029	0	14	-14
Humacao Municipio, Puerto Rico	72069	1	0	1
Mayagüez Municipio, Puerto Rico	72097	32	0	32
Bridgeport town, Fairfield County, Connecticut	0900108070	32	42	-10
New Canaan town, Fairfield County, Connecticut	0900150580	7	0	7
Stratford town, Fairfield County, Connecticut	0900174190	0	38	-38
Bristol town, Hartford County, Connecticut	0900308490	21	0	21
Hartford town, Hartford County, Connecticut	0900337070	4	0	4
Hamden town, New Haven County, Connecticut	0900935650	0	11	-11
Madison town, New Haven County, Connecticut	0900944560	46	0	46
Milford town, New Haven County, Connecticut	0900947535	12	0	12
East Lyme town, New London County, Connecticut	0901123400	3	0	3
Groton town, New London County, Connecticut	0901134250	190	231	-41
Ledyard town, New London County, Connecticut	0901142600	0	49	-49
Montville town, New London County, Connecticut	0901148900	47	0	47
New London town, New London County, Connecticut	0901152350	0	46	-46
Norwich town, New London County, Connecticut	0901156270	0	36	-36
Andover town, Tolland County, Connecticut	0901301080	0	39	-39
Hebron town, Tolland County, Connecticut	0901337910	0	10	-10
Plainfield town, Windham County, Connecticut	0901559980	15	0	15
Windham town, Windham County, Connecticut	0901586790	0	14	-14
Lewiston city, Androscoggin County, Maine	2300138740	0	37	-37
Brunswick town, Cumberland County, Maine	2300508430	0	4	-4
Cumberland town, Cumberland County, Maine	2300515430	24	28	-4
Harpswell town, Cumberland County, Maine	2300531390	0	18	-18
Pownal town, Cumberland County, Maine	2300560685	0	8	-8
Cushing town, Knox County, Maine	2301315780	0	4	-4
Edgecomb town, Lincoln County, Maine	2301522675	0	10	-10
Mattawamkeag town, Penobscot County, Maine	2301944270	0	3	-3
Stockton Springs town, Waldo County, Maine	2302774475	0	7	-7
York town, York County, Maine	2303187985	0	168	-168
Chatham town, Barnstable County, Massachusetts	2500112995	0	6	-6
Harwich town, Barnstable County, Massachusetts	2500129020	32	0	32
Williamstown town, Berkshire County, Massachusetts	2500379985	0	5	-5
Attleboro city, Bristol County, Massachusetts	2500502690	0	47	-47
Edgartown town, Dukes County, Massachusetts	2500721150	70	0	70
Beverly city, Essex County, Massachusetts	2500905595	61	0	61
Lynn city, Essex County, Massachusetts	2500937490	6	0	6
Methuen Town city, Essex County, Massachusetts	2500940710	0	13	-13
Longmeadow town, Hampden County, Massachusetts	2501336300	51	0	51
Amherst town, Hampshire County, Massachusetts	2501501325	9	0	9
Belmont town, Middlesex County, Massachusetts	2501705070	6	0	6
Cambridge city, Middlesex County, Massachusetts	2501711000	24	0	24
Malden city, Middlesex County, Massachusetts	2501737875	3	0	3
Melrose city, Middlesex County, Massachusetts	2501740115	9	0	9
Natick town, Middlesex County, Massachusetts	2501743895	0	4	-4
Newton city, Middlesex County, Massachusetts	2501745560	0	82	-82
Stoneham town, Middlesex County, Massachusetts	2501767665	5	0	5
Tewksbury town, Middlesex County, Massachusetts	2501769415	4	0	4
Wakefield town, Middlesex County, Massachusetts	2501772215	0	11	-11
Woburn city, Middlesex County, Massachusetts	2501781035	0	60	-60
Brookline town, Norfolk County, Massachusetts	2502109175	17	0	17
Franklin Town city, Norfolk County, Massachusetts	2502125172	4	9	-5
Norwood town, Norfolk County, Massachusetts	2502150250	4	0	4
Randolph Town city, Norfolk County, Massachusetts	2502156000	0	28	-28
Wellesley town, Norfolk County, Massachusetts	2502174175	0	5	-5
Westwood town, Norfolk County, Massachusetts	2502178690	23	0	23
Weymouth Town city, Norfolk County, Massachusetts	2502178972	0	15	-15
Bridgewater Town city, Plymouth County, Massachusetts	2502308130	34	0	34
Wareham town, Plymouth County, Massachusetts	2502372985	14	0	14
Boston city, Suffolk County, Massachusetts	2502507000	53	140	-87
Chelsea city, Suffolk County, Massachusetts	2502513205	13	0	13
Benzonia township, Benzie County, Michigan	2601907600	0	16	-16
Oronoko charter township, Berrien County, Michigan	2602161180	0	6	-6
Fredonia township, Calhoun County, Michigan	2602530500	0	4	-4
Sault Ste. Marie city, Chippewa County, Michigan	2603371740	28	0	28
Gladstone city, Delta County, Michigan	2604132300	20	0	20
Grand Ledge city, Eaton County, Michigan	2604533420	4	0	4
Mayfield township, Grand Traverse County, Michigan	2605552480	0	14	-14
Calumet charter township, Houghton County, Michigan	2606112600	0	10	-10
Franklin township, Houghton County, Michigan	2606130300	0	5	-5
Hancock city, Houghton County, Michigan	2606136300	0	21	-21
Hancock township, Houghton County, Michigan	2606136320	0	15	-15
Portage charter township, Houghton County, Michigan	2606165540	0	24	-24
Lansing city, Ingham County, Michigan	2606546000	0	4	-4
Mason city, Ingham County, Michigan	2606552180	0	2	-2
Mount Pleasant city, Isabella County, Michigan	2607356020	0	19	-19
Grand Rapids city, Kent County, Michigan	2608134000	30	21	9
Plainfield charter township, Kent County, Michigan	2608164660	0	12	-12
Arcadia township, Lapeer County, Michigan	2608703280	7	0	7
Glen Arbor township, Leelanau County, Michigan	2608932380	0	3	-3
Raisin township, Lenawee County, Michigan	2609166840	14	0	14
Deerfield township, Livingston County, Michigan	2609321220	0	15	-15
Chesterfield township, Macomb County, Michigan	2609915340	67	0	67
Roseville city, Macomb County, Michigan	2609969800	0	24	-24
St. Clair Shores city, Macomb County, Michigan	2609970760	0	16	-16
Warren city, Macomb County, Michigan	2609984000	0	11	-11
Forsyth township, Marquette County, Michigan	2610329720	0	16	-16
Marquette city, Marquette County, Michigan	2610351900	0	4	-4
Marquette charter township, Marquette County, Michigan	2610351920	0	17	-17
Lincoln township, Midland County, Michigan	2611147680	0	16	-16
Midland city, Midland County, Michigan	2611153780	15	0	15
Mount Haley township, Midland County, Michigan	2611155940	0	6	-6
Muskegon city, Muskegon County, Michigan	2612156320	0	26	-26
Chester township, Otsego County, Michigan	2613715280	0	6	-6
Zeeland charter township, Ottawa County, Michigan	2613989280	2	0	2
Riley township, St. Clair County, Michigan	2614768620	0	23	-23
St. Clair township, St. Clair County, Michigan	2614770700	0	13	-13
Burr Oak township, St. Joseph County, Michigan	2614911940	14	0	14
Ann Arbor city, Washtenaw County, Michigan	2616103000	0	49	-49
Lodi township, Washtenaw County, Michigan	2616149120	0	11	-11
Lyndon township, Washtenaw County, Michigan	2616149780	7	0	7
Sharon township, Washtenaw County, Michigan	2616172760	0	8	-8
Ypsilanti city, Washtenaw County, Michigan	2616189140	0	6	-6
Canton charter township, Wayne County, Michigan	2616313120	24	0	24
Detroit city, Wayne County, Michigan	2616322000	17	0	17
Inkster city, Wayne County, Michigan	2616340680	13	0	13
Columbia Heights city, Anoka County, Minnesota	2700312700	0	10	-10
Northern township, Beltrami County, Minnesota	2700746906	27	0	27
Mankato city, Blue Earth County, Minnesota	2701339878	24	0	24
Boy Lake township, Cass County, Minnesota	2702107156	0	1	-1
Moorhead city, Clay County, Minnesota	2702743864	0	3	-3
Eagan city, Dakota County, Minnesota	2703717288	40	11	29
Ashby city, Grant County, Minnesota	2705102422	0	1	-1
Brooklyn Center city, Hennepin County, Minnesota	2705307948	12	0	12
Minneapolis city, Hennepin County, Minnesota	2705343000	13	18	-5
Isanti city, Isanti County, Minnesota	2705931328	0	12	-12
Dexter city, Mower County, Minnesota	2709915886	0	2	-2
Rochester city, Olmsted County, Minnesota	2710954880	12	0	12
Salem township, Olmsted County, Minnesota	2710958234	12	0	12
St. Paul city, Ramsey County, Minnesota	2712358000	0	16	-16
Northfield city, Rice County, Minnesota	2713146924	0	4	-4
Woodbury city, Washington County, Minnesota	2716371428	0	21	-21
Monticello city, Wright County, Minnesota	2717143774	15	0	15
Montrose city, Wright County, Minnesota	2717143810	0	4	-4
Rockford township, Wright County, Minnesota	2717155024	7	0	7
Tamworth town, Carroll County, New Hampshire	3300376100	10	0	10
Bedford town, Hillsborough County, New Hampshire	3301104500	0	36	-36
Manchester city, Hillsborough County, New Hampshire	3301145140	0	24	-24
Merrimack town, Hillsborough County, New Hampshire	3301147540	0	8	-8
Concord city, Merrimack County, New Hampshire	3301314200	0	48	-48
Deerfield town, Rockingham County, New Hampshire	3301517460	0	15	-15
Dover city, Strafford County, New Hampshire	3301718820	0	25	-25
Bergenfield borough, Bergen County, New Jersey	3400305170	6	0	6
Harrington Park borough, Bergen County, New Jersey	3400330150	0	9	-9
Lumberton township, Burlington County, New Jersey	3400542060	0	14	-14
Mount Holly township, Burlington County, New Jersey	3400548900	61	5	56
North Hanover township, Burlington County, New Jersey	3400553070	18	0	18
Pemberton township, Burlington County, New Jersey	3400557510	0	68	-68
Vineland city, Cumberland County, New Jersey	3401176070	0	16	-16
Clayton borough, Gloucester County, New Jersey	3401513360	10	0	10
Elk township, Gloucester County, New Jersey	3401521060	0	35	-35
Harrison township, Gloucester County, New Jersey	3401530180	0	14	-14
Washington township, Gloucester County, New Jersey	3401577180	29	0	29
Hoboken city, Hudson County, New Jersey	3401732250	0	25	-25
Califon borough, Hunterdon County, New Jersey	3401909280	0	3	-3
Princeton, Mercer County, New Jersey	3402160900	17	0	17
Highland Park borough, Middlesex County, New Jersey	3402331470	0	34	-34
Metuchen borough, Middlesex County, New Jersey	3402345690	95	0	95
South Amboy city, Middlesex County, New Jersey	3402368550	8	0	8
Eatontown borough, Monmouth County, New Jersey	3402519840	16	0	16
Manasquan borough, Monmouth County, New Jersey	3402543050	7	0	7
Sea Bright borough, Monmouth County, New Jersey	3402566240	0	3	-3
Long Hill township, Morris County, New Jersey	3402741362	19	0	19
Brick township, Ocean County, New Jersey	3402907420	5	0	5
Stafford township, Ocean County, New Jersey	3402970320	0	103	-103
Paterson city, Passaic County, New Jersey	3403157000	0	8	-8
West Milford township, Passaic County, New Jersey	3403179460	0	10	-10
Bedminster township, Somerset County, New Jersey	3403504450	0	21	-21
Ogdensburg borough, Sussex County, New Jersey	3403754660	0	10	-10
Rahway city, Union County, New Jersey	3403961530	0	9	-9
Albany city, Albany County, New York	3600101000	9	0	9
Bronx borough, Bronx County, New York	3600508510	4	0	4
Peru town, Clinton County, New York	3601957375	0	38	-38
Saranac town, Clinton County, New York	3601965211	0	23	-23
Poughkeepsie town, Dutchess County, New York	3602759652	0	25	-25
Amherst town, Erie County, New York	3602902000	0	92	-92
Cheektowaga town, Erie County, New York	3602915011	0	49	-49
Hamburg town, Erie County, New York	3602931654	31	0	31
Santa Clara town, Franklin County, New York	3603365178	0	3	-3
Antwerp town, Jefferson County, New York	3604502297	0	10	-10
Le Ray town, Jefferson County, New York	3604542015	360	153	207
Philadelphia town, Jefferson County, New York	3604557562	0	11	-11
Rutland town, Jefferson County, New York	3604564265	0	17	-17
Watertown city, Jefferson County, New York	3604578608	57	144	-87
Brooklyn borough, Kings County, New York	3604710022	153	86	67
Cazenovia town, Madison County, New York	3605313156	0	7	-7
Chili town, Monroe County, New York	3605515462	39	0	39
Henrietta town, Monroe County, New York	3605534099	0	16	-16
Rochester city, Monroe County, New York	3605563000	0	9	-9
Hempstead town, Nassau County, New York	3605934000	4	0	4
Oyster Bay town, Nassau County, New York	3605956000	23	0	23
Manhattan borough, New York County, New York	3606144919	61	126	-65
Utica city, Oneida County, New York	3606576540	0	11	-11
Vernon town, Oneida County, New York	3606577123	25	0	25
Clay town, Onondaga County, New York	3606716067	0	45	-45
De Witt town, Onondaga County, New York	3606720478	27	0	27
Syracuse city, Onondaga County, New York	3606773000	0	13	-13
Farmington town, Ontario County, New York	3606925406	21	0	21
Highlands town, Orange County, New York	3607134550	3	0	3
Monroe town, Orange County, New York	3607147999	0	20	-20
New Windsor town, Orange County, New York	3607150848	0	94	-94
Carlton town, Orleans County, New York	3607312496	0	10	-10
Hastings town, Oswego County, New York	3607532688	54	0	54
Queens borough, Queens County, New York	3608160323	173	6	167
Rensselaer city, Rensselaer County, New York	3608361148	9	0	9
Schaghticoke town, Rensselaer County, New York	3608365486	0	7	-7
Troy city, Rensselaer County, New York	3608375484	0	8	-8
Staten Island borough, Richmond County, New York	3608570915	30	0	30
Halfmoon town, Saratoga County, New York	3609131489	52	0	52
Milton town, Saratoga County, New York	3609147537	79	0	79
Saratoga Springs city, Saratoga County, New York	3609165255	8	0	8
Stillwater town, Saratoga County, New York	3609171333	38	0	38
Prattsburgh town, Steuben County, New York	3610159718	0	6	-6
Babylon town, Suffolk County, New York	3610304000	30	0	30
Brookhaven town, Suffolk County, New York	3610310000	5	17	-12
Fremont town, Sullivan County, New York	3610527573	0	9	-9
Ithaca city, Tompkins County, New York	3610938077	0	6	-6
Kingston city, Ulster County, New York	3611139727	0	6	-6
Shawangunk town, Ulster County, New York	3611166674	6	0	6
Kingsbury town, Washington County, New York	3611539650	0	40	-40
Greenburgh town, Westchester County, New York	3611930367	10	0	10
Mount Vernon city, Westchester County, New York	3611949121	24	0	24
East Deer township, Allegheny County, Pennsylvania	4200321024	0	16	-16
Jefferson Hills borough, Allegheny County, Pennsylvania	4200337955	0	6	-6
Penn Hills township, Allegheny County, Pennsylvania	4200359032	5	0	5
Pittsburgh city, Allegheny County, Pennsylvania	4200361000	38	11	27
Pleasant Hills borough, Allegheny County, Pennsylvania	4200361328	64	0	64
Shaler township, Allegheny County, Pennsylvania	4200369584	7	0	7
Reading city, Berks County, Pennsylvania	4201163624	0	23	-23
Doylestown township, Bucks County, Pennsylvania	4201719792	10	0	10
Falls township, Bucks County, Pennsylvania	4201725112	11	0	11
Newtown township, Bucks County, Pennsylvania	4201754192	12	0	12
Northampton township, Bucks County, Pennsylvania	4201754688	81	0	81
Penndel borough, Bucks County, Pennsylvania	4201758936	0	6	-6
Plumstead township, Bucks County, Pennsylvania	4201761616	10	0	10
Solebury township, Bucks County, Pennsylvania	4201771752	0	21	-21
Wrightstown township, Bucks County, Pennsylvania	4201786624	13	0	13
Seven Fields borough, Butler County, Pennsylvania	4201969309	0	65	-65
Allegheny township, Cambria County, Pennsylvania	4202100868	0	6	-6
Loretto borough, Cambria County, Pennsylvania	4202144704	0	11	-11
Richland township, Cambria County, Pennsylvania	4202164544	0	4	-4
State College borough, Centre County, Pennsylvania	4202773808	0	178	-178
Downingtown borough, Chester County, Pennsylvania	4202919752	0	36	-36
East Coventry township, Chester County, Pennsylvania	4202921008	0	65	-65
East Vincent township, Chester County, Pennsylvania	4202922000	0	11	-11
Tredyffrin township, Chester County, Pennsylvania	4202977344	0	10	-10
West Chester borough, Chester County, Pennsylvania	4202982704	0	15	-15
West Fallowfield township, Crawford County, Pennsylvania	4203982944	0	3	-3
Susquehanna township, Dauphin County, Pennsylvania	4204375528	9	0	9
Aston township, Delaware County, Pennsylvania	4204503336	12	0	12
Radnor township, Delaware County, Pennsylvania	4204563264	9	0	9
Erie city, Erie County, Pennsylvania	4204924000	0	18	-18
Millcreek township, Erie County, Pennsylvania	4204949548	7	0	7
Connellsville township, Fayette County, Pennsylvania	4205115784	0	6	-6
Wharton township, Fayette County, Pennsylvania	4205184344	14	0	14
Brookville borough, Jefferson County, Pennsylvania	4206509224	0	40	-40
Salisbury township, Lehigh County, Pennsylvania	4207767576	0	23	-23
Fairmount township, Luzerne County, Pennsylvania	4207924752	0	4	-4
East Stroudsburg borough, Monroe County, Pennsylvania	4208921872	128	0	128
Philadelphia city, Philadelphia County, Pennsylvania	4210160000	226	34	192
North Strabane township, Washington County, Pennsylvania	4212555432	0	21	-21
New Stanton borough, Westmoreland County, Pennsylvania	4212954104	0	4	-4
Hanover borough, York County, Pennsylvania	4213332448	15	0	15
Middletown town, Newport County, Rhode Island	4400545460	52	6	46
Newport city, Newport County, Rhode Island	4400549960	22	7	15
Portsmouth town, Newport County, Rhode Island	4400557880	9	0	9
Central Falls city, Providence County, Rhode Island	4400714140	11	0	11
Providence city, Providence County, Rhode Island	4400759000	21	10	11
Woonsocket city, Providence County, Rhode Island	4400780780	19	0	19
Narragansett town, Washington County, Rhode Island	4400948340	8	0	8
Burlington city, Chittenden County, Vermont	5000710675	0	1	-1
Williston town, Chittenden County, Vermont	5000784475	0	13	-13
Rutland city, Rutland County, Vermont	5002161225	0	29	-29
Berlin town, Washington County, Vermont	5002305650	10	0	10
Waterbury town, Washington County, Vermont	5002376975	8	0	8
Madison city, Dane County, Wisconsin	5502548000	26	0	26
Eau Claire city, Eau Claire County, Wisconsin	5503522300	0	11	-11
Crandon city, Forest County, Wisconsin	5504117425	0	9	-9
Fort Atkinson city, Jefferson County, Wisconsin	5505526675	0	2	-2
Jefferson city, Jefferson County, Wisconsin	5505537900	0	7	-7
Koshkonong town, Jefferson County, Wisconsin	5505540375	0	14	-14
Lindina town, Juneau County, Wisconsin	5505744675	0	11	-11
Onalaska city, La Crosse County, Wisconsin	5506359925	0	59	-59
Washington town, La Crosse County, Wisconsin	5506383650	0	3	-3
Greenfield city, Milwaukee County, Wisconsin	5507931175	0	40	-40
Milwaukee city, Milwaukee County, Wisconsin	5507953000	0	31	-31
West Allis city, Milwaukee County, Wisconsin	5507985300	0	28	-28
Kaukauna city, Outagamie County, Wisconsin	5508738800	12	0	12
Balsam Lake village, Polk County, Wisconsin	5509504475	0	13	-13
Osceola village, Polk County, Wisconsin	5509560450	0	4	-4
Caledonia village, Racine County, Wisconsin	5510111950	12	0	12
Hudson city, St. Croix County, Wisconsin	5510936250	0	36	-36
Shawano city, Shawano County, Wisconsin	5511572925	1	0	1
Herman town, Sheboygan County, Wisconsin	5511734050	0	3	-3
Wilson town, Sheboygan County, Wisconsin	5511787500	0	16	-16
Lincoln town, Trempealeau County, Wisconsin	5512144500	0	10	-10
Pewaukee city, Waukesha County, Wisconsin	5513362240	10	0	10
Waukesha city, Waukesha County, Wisconsin	5513384250	0	15	-15

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	979,682	100.0	326,569,308	100.0
..Male	D002	493,534	50.4	160,818,530	49.2
..Female	D003	486,148	49.6	165,750,778	50.8
..Sex ratio (males per 100 females)	D004	101.5		97.0
..Under 5 years	D005	62,345	6.4	19,650,192	6.0
..5 to 9 years	D006	56,434	5.8	19,979,039	6.1
..10 to 14 years	D007	57,213	5.8	21,107,910	6.5
..15 to 19 years	D008	52,364	5.3	21,174,955	6.5
..20 to 24 years	D009	69,629	7.1	21,820,378	6.7
..25 to 34 years	D010	149,226	15.2	45,485,165	13.9
..35 to 44 years	D011	124,643	12.7	41,346,677	12.7
..45 to 54 years	D012	117,031	11.9	41,540,736	12.7
..55 to 59 years	D013	60,179	6.1	21,785,721	6.7
..60 to 64 years	D014	56,378	5.8	20,315,718	6.2
..65 to 74 years	D015	93,846	9.6	30,547,950	9.4
..75 to 84 years	D016	49,872	5.1	15,193,051	4.7
..85 years and over	D017	30,522	3.1	6,621,816	2.0
..Median age (years)	D018	38.2		38.2
..Under 18 years	D019	207,048	21.1	73,296,738	22.4
..16 years and over	D020	793,781	81.0	261,649,873	80.1
..18 years and over	D021	772,634	78.9	253,272,570	77.6
..21 years and over	D022	739,253	75.5	240,169,127	73.5
..62 years and over	D023	207,447	21.2	64,136,076	19.6
..65 years and over	D024	174,240	17.8	52,362,817	16.0
..18 years and over	D025	772,634	100.0	253,272,570	100.0
...Male	D026	386,991	50.1	123,361,776	48.7
...Female	D027	385,643	49.9	129,910,794	51.3
...Sex ratio (males per 100 females)	D028	100.3		95.0
..65 years and over	D029	174,240	100.0	52,362,817	100.0
...Male	D030	77,084	44.2	23,264,263	44.4
...Female	D031	97,156	55.8	29,098,554	55.6
...Sex ratio (males per 100 females)	D032	79.3		79.9
RACE
.Total population	D033	979,682	100.0	326,569,308	100.0
..One race	D034	751,192	76.7	309,693,766	94.8
..Two or more races	D035	228,490	23.3	16,875,542	5.2
..One race	D036	751,192	76.7	309,693,766	94.8
...White	D037	197,903	20.2	229,960,813	70.4
...Black or African American	D038	24,048	2.5	41,227,384	12.6
...American Indian and Alaska Native	D039	1,908	0.2	2,688,614	0.8
....Cherokee tribal grouping	D040	337	0.0	277,634	0.1
....Chippewa tribal grouping	D041	30	0.0	112,056	0.0
....Navajo tribal grouping	D042	156	0.0	324,638	0.1
....Sioux tribal grouping	D043	13	0.0	110,492	0.0
...Asian	D044	417,316	42.6	18,421,637	5.6
....Asian Indian	D045	2,027	0.2	4,143,134	1.3
....Chinese	D046	50,366	5.1	4,345,272	1.3
....Filipino	D047	144,931	14.8	2,884,210	0.9
....Japanese	D048	139,333	14.2	768,985	0.2
....Korean	D049	23,089	2.4	1,477,325	0.5
....Vietnamese	D050	9,986	1.0	1,852,906	0.6
....Other Asian	D051	47,584	4.9	2,949,805	0.9
...Native Hawaiian and Other Pacific Islander	D052	97,942	10.0	611,404	0.2
....Native Hawaiian	D053	52,543	5.4	185,474	0.1
....Guamanian or Chamorro	D054	2,354	0.2	81,898	0.0
....Samoan	D055	11,666	1.2	110,141	0.0
....Other Pacific Islander	D056	31,379	3.2	233,891	0.1
...Some other race	D057	12,075	1.2	16,783,914	5.1
..Two or more races	D058	228,490	23.3	16,875,542	5.2
...White and Black or African American	D059	5,185	0.5	3,295,021	1.0
...White and American Indian and Alaska Native	D060	4,669	0.5	1,994,147	0.6
...White and Asian	D061	54,631	5.6	2,466,289	0.8
...Black or African American and American Indian and Alaska Native	D062	898	0.1	297,898	0.1
Race alone or in combination with one or more other races
.Total population	D063	979,682	100.0	326,569,308	100.0
..White	D064	371,185	37.9	245,105,778	75.1
..Black or African American	D065	42,711	4.4	46,273,733	14.2
..American Indian and Alaska Native	D066	18,754	1.9	5,779,818	1.8
..Asian	D067	599,036	61.1	22,193,536	6.8
..Native Hawaiian and Other Pacific Islander	D068	244,011	24.9	1,441,525	0.4
..Some other race	D069	30,172	3.1	24,041,125	7.4
HISPANIC OR LATINO AND RACE
.Total population	D070	979,682	100.0	326,569,308	100.0
..Hispanic or Latino (of any race)	D071	98,422	10.0	59,361,020	18.2
...Mexican	D072	29,411	3.0	36,537,028	11.2
...Puerto Rican	D073	32,568	3.3	5,699,150	1.7
...Cuban	D074	1,371	0.1	2,332,584	0.7
...Other Hispanic or Latino	D075	35,072	3.6	14,792,258	4.5
..Not Hispanic or Latino	D076	881,260	90.0	267,208,288	81.8
...White alone	D077	175,756	17.9	196,251,375	60.1
...Black or African American alone	D078	22,604	2.3	39,994,653	12.2
...American Indian and Alaska Native alone	D079	1,342	0.1	2,075,852	0.6
...Asian alone	D080	408,316	41.7	18,184,182	5.6
...Native Hawaiian and Other Pacific Islander alone	D081	90,905	9.3	550,080	0.2
...Some other race alone	D082	1,379	0.1	1,017,604	0.3
...Two or more races	D083	180,958	18.5	9,134,542	2.8
....Two races including Some other race	D084	1,616	0.2	827,762	0.3
....Two races excluding Some other race, and Three or more races	D085	179,342	18.3	8,306,780	2.5
.Total housing units	D086	352,788	100.0	138,432,751	100.0
CITIZEN, VOTING AGE POPULATION
.Citizen, 18 and over population	D087	704,867	100.0	233,440,758	100.0
..Male	D088	359,759	51.0	113,241,206	48.5
..Female	D089	345,108	49.0	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	316,928	100.0	122,354,219	100.0
..Married-couple family	S002	163,882	51.7	58,807,003	48.1
...With own children of the householder under 18 years	S003	-1		-1
..Cohabiting couple household	S004	17,545	5.5	7,958,647	6.5
...With own children of the householder under 18 years	S005	-1		-1
..Male householder, no spouse/partner present	S006	56,842	17.9	21,780,170	17.8
...With own children of the householder under 18 years	S007	-1		-1
...Householder living alone	S008	37,019	11.7	15,296,800	12.5
....65 years and over	S009	11,960	3.8	4,441,899	3.6
..Female householder, no spouse/partner present	S010	78,659	24.8	33,808,399	27.6
...With own children of the householder under 18 years	S011	-1		-1
...Householder living alone	S012	40,594	12.8	18,957,732	15.5
....65 years and over	S013	20,885	6.6	9,335,513	7.6
..Households with one or more people under 18 years	S014	100,735	31.8	37,598,741	30.7
..Households with one or more people 65 years and over	S015	116,277	36.7	36,861,827	30.1
..Average household size	S016	2.98		2.60
..Average family size	S017	3.57		3.21
RELATIONSHIP
.Population in households	S018	943,500	100.0	318,495,974	100.0
..Householder	S019	316,928	33.6	122,354,219	38.4
..Spouse	S020	163,825	17.4	58,717,034	18.4
..Unmarried partner	S021	17,547	1.9	8,048,864	2.5
..Child	S022	267,204	28.3	94,445,052	29.7
..Other relatives	S023	133,694	14.2	23,202,220	7.3
..Other nonrelatives	S024	44,302	4.7	11,728,585	3.7
MARITAL STATUS
.Males 15 years and over	S025	402,855	100.0	129,777,799	100.0
..Never married	S026	155,641	38.6	47,510,293	36.6
..Now married, except separated	S027	203,047	50.4	64,543,861	49.7
..Separated	S028	4,270	1.1	2,052,984	1.6
..Widowed	S029	10,086	2.5	3,408,813	2.6
..Divorced	S030	29,811	7.4	12,261,848	9.4
.Females 15 years and over	S031	400,835	100.0	136,054,368	100.0
..Never married	S032	119,251	29.8	41,518,358	30.5
..Now married, except separated	S033	196,098	48.9	63,348,809	46.6
..Separated	S034	5,604	1.4	2,859,442	2.1
..Widowed	S035	41,108	10.3	11,821,660	8.7
..Divorced	S036	38,774	9.7	16,506,099	12.1
FERTILITY
.Number of women 15 to 50 years old who had a birth in the past 12 months	S037	13,692	100.0	3,982,654	100.0
..Unmarried women (widowed, divorced, and never married)	S038	3,354	24.5	1,308,199	32.8
...Per 1,000 unmarried women	S039	29	-1.0	30	-1.0
..Per 1,000 women 15 to 50 years old	S040	62	-1.0	52	-1.0
..Per 1,000 women 15 to 19 years old	S041	9	-1.0	11	-1.0
..Per 1,000 women 20 to 34 years old	S042	94	-1.0	87	-1.0
..Per 1,000 women 35 to 50 years old	S043	42	-1.0	30	-1.0
GRANDPARENTS
.Number of grandparents living with own grandchildren under 18 years	S044	35,681	100.0	7,187,524	100.0
..Grandparents responsible for grandchildren	S045	6,880	19.3	2,400,774	33.4
..Years responsible for grandchildren
...Less than 1 year	S046	1,272	3.6	427,836	6.0
...1 or 2 years	S047	1,319	3.7	495,453	6.9
...3 or 4 years	S048	1,051	2.9	391,577	5.4
...5 or more years	S049	3,238	9.1	1,085,908	15.1
.Number of grandparents responsible for own grandchildren under 18 years	S050	6,880	100.0	2,400,774	100.0
..Who are female	S051	3,964	57.6	1,518,284	63.2
..Who are married	S052	5,196	75.5	1,646,934	68.6
SCHOOL ENROLLMENT
.Population 3 years and over enrolled in school	S053	228,611	100.0	80,497,960	100.0
..Nursery school, preschool	S054	16,174	7.1	4,879,858	6.1
..Kindergarten	S055	11,108	4.9	4,003,118	5.0
..Elementary school (grades 1-8)	S056	86,356	37.8	32,506,623	40.4
..High school (grades 9-12)	S057	41,982	18.4	16,879,255	21.0
..College or graduate school	S058	72,991	31.9	22,229,106	27.6
EDUCATIONAL ATTAINMENT
.Population 25 years and over	S059	681,697	100.0	222,836,834	100.0
..Less than 9th grade	S060	24,760	3.6	10,923,030	4.9
..9th to 12th grade, no diploma	S061	26,782	3.9	14,639,650	6.6
..High school graduate (includes equivalency)	S062	175,427	25.7	59,421,419	26.7
..Some college, no degree	S063	137,030	20.1	45,242,162	20.3
..Associate's degree	S064	74,216	10.9	19,254,254	8.6
..Bachelor's degree	S065	157,631	23.1	45,034,610	20.2
..Graduate or professional degree	S066	85,851	12.6	28,321,709	12.7
..High school graduate or higher	S067	630,155	92.4	197,274,154	88.5
..Bachelor's degree or higher	S068	243,482	35.7	73,356,319	32.9
VETERAN STATUS
.Civilian population 18 years and over	S069	729,900	100.0	252,130,477	100.0
..Civilian veterans	S070	70,738	9.7	17,835,456	7.1
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION
.Total Civilian Noninstitutionalized Population	S071	928,893	100.0	321,525,041	100.0
..With a disability	S072	104,369	11.2	40,786,461	12.7
.Under 18 years	S073	206,829	100.0	73,163,121	100.0
..With a disability	S074	6,234	3.0	3,166,556	4.3
.18 to 64 years	S075	551,168	100.0	197,289,696	100.0
..With a disability	S076	40,705	7.4	20,231,217	10.3
.65 years and over	S077	170,896	100.0	51,072,224	100.0
..With a disability	S078	57,430	33.6	17,388,688	34.0
RESIDENCE 1 YEAR AGO
.Population 1 year and over	S079	967,095	100.0	322,943,283	100.0
..Same house	S080	833,766	86.2	278,285,887	86.2
..Different house in the U.S. or abroad	S081	133,329	13.8	44,657,396	13.8
..Different house in the U.S.	S082	122,059	12.6	42,714,733	13.2
...Same county	S083	80,573	8.3	24,840,584	7.7
...Different county	S084	41,486	4.3	17,874,149	5.5
....Same state	S085	3,520	0.4	10,445,339	3.2
....Different state	S086	37,966	3.9	7,428,810	2.3
..Abroad	S087	11,270	1.2	1,942,663	0.6
PLACE OF BIRTH
.Total population	S088	979,682	100.0	326,569,308	100.0
..Native	S089	788,693	80.5	282,443,680	86.5
...Born in United States	S090	753,087	76.9	277,155,748	84.9
....State of residence	S091	522,862	53.4	189,976,546	58.2
....Different state	S092	230,225	23.5	87,179,202	26.7
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s)	S093	35,606	3.6	5,287,932	1.6
..Foreign born	S094	190,989	19.5	44,125,628	13.5
U.S. CITIZENSHIP STATUS
.Foreign-born population	S095	190,989	100.0	44,125,628	100.0
..Naturalized U.S. citizen	S096	116,843	61.2	22,456,684	50.9
..Not a U.S. citizen	S097	74,146	38.8	21,668,944	49.1
YEAR OF ENTRY
.Population born outside the United States	S098	226,595	100.0	49,413,560	100.0
..Native	S099	35,606	100.0	5,287,932	100.0
...Entered 2010 or later	S100	9,256	26.0	1,258,153	23.8
...Entered before 2010	S101	26,350	74.0	4,029,779	76.2
..Foreign born	S102	190,989	100.0	44,125,628	100.0
...Entered 2010 or later	S103	40,064	21.0	10,044,458	22.8
...Entered before 2010	S104	150,925	79.0	34,081,170	77.2
WORLD REGION OF BIRTH OF FOREIGN BORN
.Foreign-born population, excluding population born at sea	S105	190,989	100.0	44,125,120	100.0
..Europe	S106	6,835	3.6	4,784,383	10.8
..Asia	S107	154,080	80.7	13,794,873	31.3
..Africa	S108	1,218	0.6	2,362,292	5.4
..Oceania	S109	20,661	10.8	283,505	0.6
..Latin America	S110	6,134	3.2	22,073,519	50.0
..Northern America	S111	2,061	1.1	826,548	1.9
LANGUAGE SPOKEN AT HOME
.Population 5 years and over	S112	917,337	100.0	306,919,116	100.0
..English only	S113	669,167	72.9	240,826,040	78.5
..Language other than English	S114	248,170	27.1	66,093,076	21.5
...Speak English less than very well	S115	114,679	12.5	25,312,024	8.2
..Spanish	S116	17,683	1.9	40,537,337	13.2
...Speak English less than very well	S117	3,080	0.3	15,949,582	5.2
..Other Indo-European languages	S118	9,926	1.1	11,270,634	3.7
...Speak English less than very well	S119	1,657	0.2	3,422,525	1.1
..Asian and Pacific Islander languages	S120	215,718	23.5	10,800,470	3.5
...Speak English less than very well	S121	109,236	11.9	4,886,876	1.6
..Other languages	S122	4,843	0.5	3,484,635	1.1
...Speak English less than very well	S123	706	0.1	1,053,041	0.3
ANCESTRY
.Total population	S124	979,682	100.0	326,569,308	100.0
..American	S125	13,037	1.3	19,364,103	5.9
..Arab	S126	1,512	0.2	2,056,594	0.6
..Czech	S127	1,149	0.1	1,329,130	0.4
..Danish	S128	1,683	0.2	1,244,498	0.4
..Dutch	S129	3,553	0.4	3,692,889	1.1
..English	S130	33,796	3.4	25,213,619	7.7
..French (except Basque)	S131	10,891	1.1	7,374,976	2.3
..French Canadian	S132	1,405	0.1	1,998,012	0.6
..German	S133	51,645	5.3	42,589,571	13.0
..Greek	S134	1,801	0.2	1,249,194	0.4
..Hungarian	S135	1,239	0.1	1,348,198	0.4
..Irish	S136	38,054	3.9	31,518,129	9.7
..Italian	S137	18,698	1.9	16,549,022	5.1
..Lithuanian	S138	568	0.1	626,937	0.2
..Norwegian	S139	5,583	0.6	4,289,825	1.3
..Polish	S140	8,576	0.9	8,936,002	2.7
..Portuguese	S141	25,157	2.6	1,363,964	0.4
..Russian	S142	2,809	0.3	2,538,436	0.8
..Scotch-Irish	S143	3,445	0.4	2,937,156	0.9
..Scottish	S144	7,403	0.8	5,298,861	1.6
..Slovak	S145	350	0.0	658,740	0.2
..Subsaharan African	S146	2,582	0.3	3,809,930	1.2
..Swedish	S147	5,113	0.5	3,627,796	1.1
..Swiss	S148	1,100	0.1	908,570	0.3
..Ukrainian	S149	933	0.1	1,015,209	0.3
..Welsh	S150	2,183	0.2	1,851,256	0.6
..West Indian (excluding Hispanic origin groups)	S151	2,192	0.2	3,008,035	0.9
COMPUTERS AND INTERNET USE
.Total households	S152	316,928	100.0	122,354,219	100.0
..With a computer	S153	295,608	93.3	112,398,526	91.9
..With a broadband Internet subscription	S154	280,542	88.5	104,302,759	85.2

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

ECONOMIC CHARACTERISTICS (DP3)	ItemCode	County Estimate	County Percent	U.S. Estimate	U.S. Percent
EMPLOYMENT STATUS
.Population 16 years and over	E001	793,781	100.0	261,649,873	100.0
..In labor force	E002	527,022	66.4	165,902,838	63.4
...Civilian labor force	E003	484,285	61.0	164,759,496	63.0
....Employed	E004	464,037	58.5	155,888,980	59.6
....Unemployed	E005	20,248	2.6	8,870,516	3.4
...Armed Forces	E006	42,737	5.4	1,143,342	0.4
..Not in labor force	E007	266,759	33.6	95,747,035	36.6
.Civilian labor force	E008	484,285	100.0	164,759,496	100.0
..Unemployment Rate	E009	4.20		5.40
.Females 16 years and over	E010	395,780	100.0	134,001,493	100.0
..In labor force	E011	240,749	60.8	78,484,558	58.6
...Civilian labor force	E012	235,111	59.4	78,314,931	58.4
....Employed	E013	225,553	57.0	74,173,483	55.4
.Own children of the householder under 6 years	E014	69,544	100.0	22,558,766	100.0
..All parents in family in labor force	E015	43,797	63.0	15,045,945	66.7
.Own children of the householder 6 to 17 years	E016	123,937	100.0	46,908,286	100.0
..All parents in family in labor force	E017	90,366	72.9	33,697,040	71.8
COMMUTING TO WORK
.Workers 16 years and over	E018	494,042	100.0	153,665,654	100.0
..Car, truck, or van -- drove alone	E019	322,111	65.2	115,127,720	74.9
..Car, truck, or van -- carpooled	E020	65,974	13.4	13,605,122	8.9
..Public transportation (excluding taxicab)	E021	35,154	7.1	7,044,886	4.6
..Walked	E022	27,563	5.6	3,954,692	2.6
..Other means	E023	17,925	3.6	2,780,139	1.8
..Worked from home	E024	25,315	5.1	11,153,095	7.3
..Mean travel time to work (minutes)	E025	28.40		26.90
OCCUPATION
.Civilian employed population 16 years and over	E026	464,037	100.0	155,888,980	100.0
..Management, business, science, and arts occupations	E027	174,242	37.5	61,526,906	39.5
..Service occupations	E028	98,019	21.1	27,095,654	17.4
..Sales and office occupations	E029	109,002	23.5	33,247,878	21.3
..Natural resources, construction, and maintenance occupations	E030	39,834	8.6	13,620,436	8.7
..Production, transportation, and material moving occupations	E031	42,940	9.3	20,398,106	13.1
INDUSTRY
.Civilian employed population 16 years and over	E032	464,037	100.0	155,888,980	100.0
..Agriculture, forestry, fishing and hunting, and mining	E033	2,984	0.6	2,658,413	1.7
..Construction	E034	33,267	7.2	10,416,196	6.7
..Manufacturing	E035	14,550	3.1	15,617,461	10.0
..Wholesale trade	E036	10,609	2.3	3,971,773	2.5
..Retail trade	E037	52,120	11.2	17,195,083	11.0
..Transportation and warehousing, and utilities	E038	31,410	6.8	8,576,862	5.5
..Information	E039	7,081	1.5	3,066,743	2.0
..Finance and insurance, and real estate and rental and leasing	E040	30,944	6.7	10,319,201	6.6
..Professional, scientific, and management, and administrative and waste management services	E041	47,422	10.2	18,312,454	11.7
..Educational services, and health care and social assistance	E042	103,623	22.3	36,315,080	23.3
..Arts, entertainment, and recreation, and accommodation and food services	E043	65,064	14.0	14,651,909	9.4
..Other services, except public administration	E044	18,935	4.1	7,516,616	4.8
..Public administration	E045	46,028	9.9	7,271,189	4.7
CLASS OF WORKER
.Civilian employed population 16 years and over	E046	464,037	100.0	155,888,980	100.0
..Private wage and salary workers	E047	333,861	71.9	124,611,544	79.9
..Government workers	E048	103,933	22.4	21,743,101	13.9
..Self-employed in own not incorporated business workers	E049	25,347	5.5	9,243,835	5.9
..Unpaid family workers	E050	896	0.2	290,500	0.2
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS)
.Total households	E051	316,928	100.0	122,354,219	100.0
..Less than $10,000	E052	13,915	4.4	7,145,751	5.8
..$10,000 to $14,999	E053	7,464	2.4	5,020,097	4.1
..$15,000 to $24,999	E054	14,741	4.7	10,359,700	8.5
..$25,000 to $34,999	E055	18,140	5.7	10,569,484	8.6
..$35,000 to $49,999	E056	30,326	9.6	14,690,382	12.0
..$50,000 to $74,999	E057	50,529	15.9	21,034,779	17.2
..$75,000 to $99,999	E058	42,729	13.5	15,613,243	12.8
..$100,000 to $149,999	E059	63,158	19.9	19,128,938	15.6
..$150,000 to $199,999	E060	35,747	11.3	8,688,154	7.1
..$200,000 or more	E061	40,179	12.7	10,103,691	8.3
..Median household income (dollars)	E062	87,722		64,994
..Mean household income (dollars)	E063	112,641		91,547
..With earnings	E064	260,112	82.1	95,088,085	77.7
...Mean earnings (dollars)	E065	105,718		93,265
..With Social Security	E066	109,362	34.5	38,442,718	31.4
...Mean Social Security income (dollars)	E067	20,937		20,126
..With retirement income	E068	86,580	27.3	25,872,444	21.1
...Mean retirement income (dollars)	E069	33,639		28,376
..With Supplemental Security Income	E070	12,295	3.9	6,403,843	5.2
...Mean Supplemental Security Income (dollars)	E071	9,851		10,115
..With cash public assistance income	E072	10,482	3.3	2,995,159	2.4
...Mean cash public assistance income (dollars)	E073	4,660		3,271
..With Food Stamp/SNAP benefits in the past 12 months	E074	28,882	9.1	13,892,407	11.4
.Families	E075	220,102	100.0	79,849,830	100.0
..Less than $10,000	E076	5,071	2.3	2,784,559	3.5
..$10,000 to $14,999	E077	2,804	1.3	1,737,891	2.2
..$15,000 to $24,999	E078	6,512	3.0	4,608,727	5.8
..$25,000 to $34,999	E079	9,193	4.2	5,671,464	7.1
..$35,000 to $49,999	E080	17,600	8.0	8,744,513	11.0
..$50,000 to $74,999	E081	32,018	14.5	13,857,979	17.4
..$75,000 to $99,999	E082	31,800	14.4	11,445,632	14.3
..$100,000 to $149,999	E083	51,778	23.5	15,185,857	19.0
..$150,000 to $199,999	E084	30,267	13.8	7,235,024	9.1
..$200,000 or more	E085	33,059	15.0	8,578,184	10.7
..Median family income (dollars)	E086	103,845		80,069
..Mean family income (dollars)	E087	127,298		107,335
.Per capita income (dollars)	E088	38,288		35,384
.Nonfamily households	E089	96,826	100.0	42,504,389	100.0
..Median nonfamily income (dollars)	E090	52,677		39,027
..Mean nonfamily income (dollars)	E091	69,509		57,648
.Median earnings for workers (dollars)	E092	40,801		36,280
.Median earnings for male full-time, year-round workers (dollars)	E093	56,010		54,323
.Median earnings for female full-time, year-round workers (dollars)	E094	46,714		44,220
HEALTH INSURANCE COVERAGE
.Civilian noninstitutionalized population	E095	928,893	100.0	321,525,041	100.0
..With health insurance coverage	E096	897,692	96.6	293,466,138	91.3
...With private health insurance	E097	743,382	80.0	218,830,578	68.1
...With public coverage	E098	309,209	33.3	113,410,193	35.3
..No health insurance coverage	E099	31,201	3.4	28,058,903	8.7
.Civilian noninstitutionalized population under 19 years	E100	217,155	100.0	77,582,280	100.0
..No health insurance coverage	E101	5,076	2.3	4,016,835	5.2
.Civilian noninstitutionalized population 19 to 64 years	E102	540,842	100.0	192,870,537	100.0
..In labor force:	E103	437,328	100.0	150,997,488	100.0
...Employed:	E104	419,643	100.0	143,214,283	100.0
....With health insurance coverage	E105	406,174	96.8	127,785,204	89.2
.....With private health insurance	E106	382,200	91.1	116,559,349	81.4
.....With public coverage	E107	40,872	9.7	15,001,155	10.5
....No health insurance coverage	E108	13,469	3.2	15,429,079	10.8
...Unemployed:	E109	17,685	100.0	7,783,205	100.0
....With health insurance coverage	E110	15,216	86.0	5,696,312	73.2
.....With private health insurance	E111	10,117	57.2	3,265,196	42.0
.....With public coverage	E112	5,584	31.6	2,677,987	34.4
....No health insurance coverage	E113	2,469	14.0	2,086,893	26.8
..Not in labor force:	E114	103,514	100.0	41,873,049	100.0
...With health insurance coverage	E115	93,872	90.7	35,748,538	85.4
....With private health insurance	E116	64,771	62.6	21,659,932	51.7
....With public coverage	E117	37,358	36.1	17,036,758	40.7
...No health insurance coverage	E118	9,642	9.3	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	5.5		9.1
..With related children of the householder under 18 years	E120	8.5		14.3
...With related children of the householder under 5 years only	E121	7.2		13.5
..Married couple families	E122	3.2		4.6
...With related children of the householder under 18 years	E123	3.8		6.2
....With related children of the householder under 5 years only	E124	2.7		4.8
..Families with female householder, no spouse present	E125	14.5		25.1
...With related children of the householder under 18 years	E126	24.1		34.4
....With related children of the householder under 5 years only	E127	26.6		38.8
.All people	E128	8.4		12.8
..Under 18 years	E129	10.8		17.5
...Related children of the householder under 18 years	E130	10.4		17.2
....Related children of the householder under 5 years	E131	11.7		19.1
....Related children of the householder 5 to 17 years	E132	9.9		16.4
..18 years and over	E133	7.8		11.5
...18 to 64 years	E134	7.7		12.1
...65 years and over	E135	8.1		9.3
..People in families	E136	5.7		10.1
..Unrelated individuals 15 years and over	E137	21.5		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 September 2022; next update November 26, 2022 (October 2022 data). Table below saved as c:\dede\1\15003bp.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	53	46	85	55	62	87	134	93	51	98	81	96
Single Family, Units	53	46	85	55	62	87	134	93	51	98	81	96
Single Family, Value	16,831	23,690	31,703	22,562	25,433	35,689	40,437	38,150	25,108	40,201	33,227	39,380
2 Unit, Buildings	0	0	0	0	0	0	0	0	0	0	0	0
2 Unit, Units	0	0	0	0	0	0	0	0	0	0	0	0
2 Unit, Value	0	0	0	0	0	0	0	0	0	0	0	0
3-4 Unit, Buildings	0	0	0	1	0	1	0	1	0	1	1	1
3-4 Unit, Units	0	0	0	3	0	3	0	3	0	3	4	4
3-4 Unit, Value	0	0	0	1,949	0	1,949	0	1,949	0	1,949	2,598	2,598
5+ Unit, Buildings	0	1	3	2	3	3	0	4	0	3	4	5
5+ Unit, Units	0	39	122	95	94	86	0	85	0	82	95	163
5+ Unit, Value	0	4,913	23,870	17,791	17,604	16,106	0	15,919	0	15,357	17,791	30,526

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	84	90	51	88	79	43	75	102	39	69	90	50
Single Family, Units	84	90	51	88	79	43	75	102	39	69	90	50
Single Family, Value	34,458	36,919	22,304	35,320	37,123	20,173	30,103	35,477	16,659	27,694	31,810	16,950
2 Unit, Buildings	0	0	17	0	0	0	0	0	0	0	0	0
2 Unit, Units	0	0	34	0	0	0	0	0	0	0	0	0
2 Unit, Value	0	0	5,162	0	0	0	0	0	0	0	0	0
3-4 Unit, Buildings	1	1	0	0	0	0	0	0	0	0	0	5
3-4 Unit, Units	3	3	0	0	0	0	0	0	0	0	0	17
3-4 Unit, Value	1,949	1,949	0	0	0	0	0	0	0	0	0	4,816
5+ Unit, Buildings	4	4	0	3	0	0	3	0	2	3	0	1
5+ Unit, Units	126	104	0	81	0	0	91	0	227	96	0	36
5+ Unit, Value	23,597	19,477	0	14,689	0	0	16,502	0	77,468	17,409	0	4,700

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	23	42	156	32	39	72	108	62	24	0	0	0
Single Family, Units	23	42	156	32	39	72	108	62	24	0	0	0
Single Family, Value	11,044	18,123	49,541	11,026	15,898	26,708	29,775	22,999	11,161	0	0	0
2 Unit, Buildings	11	4	10	8	6	2	3	2	5	0	0	0
2 Unit, Units	22	8	20	16	12	4	6	4	10	0	0	0
2 Unit, Value	2,393	1,580	3,792	1,180	1,050	904	1,000	904	1,029	0	0	0
3-4 Unit, Buildings	0	0	0	0	0	0	0	0	0	0	0	0
3-4 Unit, Units	0	0	0	0	0	0	0	0	0	0	0	0
3-4 Unit, Value	0	0	0	0	0	0	0	0	0	0	0	0
5+ Unit, Buildings	8	3	1	4	3	1	6	1	1	0	0	0
5+ Unit, Units	100	26	401	28	34	52	47	37	328	0	0	0
5+ Unit, Value	18,909	4,727	120,000	3,863	6,602	12,614	14,271	8,976	79,233	0	0	0

2.4.1a. New Authorized Residential Construction.. goto topics

Annual for County

Units in Structure	2015	2016	2017	2018	2019	2020	2021
Single Family, Buildings	982	846	1,028	983	912	862	938
Single Family, Units	982	846	1,028	983	912	862	938
Single Family, Value	383,195	342,927	350,184	366,640	374,115	345,979	347,951
2 Unit, Buildings	0	0	0	0	0	0	27
2 Unit, Units	0	0	0	0	0	0	54
2 Unit, Value	0	0	0	0	0	0	12,208
3-4 Unit, Buildings	0	0	0	0	8	2	0
3-4 Unit, Units	0	0	0	0	24	6	0
3-4 Unit, Value	0	0	0	0	15,591	3,898	0
5+ Unit, Buildings	90	17	19	32	45	22	11
5+ Unit, Units	2,851	812	940	1,427	1,343	753	446
5+ Unit, Value	531,722	298,544	154,082	279,200	251,514	136,553	108,192

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	352,788	100.0	138,432,751	100.0
..Occupied housing units	H002	316,928	89.8	122,354,219	88.4
..Vacant housing units	H003	35,860	10.2	16,078,532	11.6
..Homeowner vacancy rate	H004	0.90		1.40
..Rental vacancy rate	H005	5.10		5.80
UNITS IN STRUCTURE
.Total housing units	H006	352,788	100.0	138,432,751	100.0
..1-unit, detached	H007	159,080	45.1	85,438,643	61.7
..1-unit, attached	H008	39,500	11.2	8,222,495	5.9
..2 units	H009	7,011	2.0	4,868,926	3.5
..3 or 4 units	H010	14,906	4.2	5,989,331	4.3
..5 to 9 units	H011	24,208	6.9	6,398,241	4.6
..10 to 19 units	H012	17,623	5.0	5,988,959	4.3
..20 or more units	H013	89,694	25.4	13,018,590	9.4
..Mobile home	H014	703	0.2	8,374,539	6.0
..Boat, RV, van, etc.	H015	63	0.0	133,027	0.1
YEAR STRUCTURE BUILT
.Total housing units	H016	352,788	100.0	138,432,751	100.0
..Built 2014 or later	H017	10,732	3.0	4,826,244	3.5
..Built 2010 to 2013	H018	10,316	2.9	3,772,330	2.7
..Built 2000 to 2009	H019	34,070	9.7	18,872,283	13.6
..Built 1990 to 1999	H020	40,688	11.5	19,229,676	13.9
..Built 1980 to 1989	H021	44,283	12.6	18,484,475	13.4
..Built 1970 to 1979	H022	85,507	24.2	20,811,073	15.0
..Built 1960 to 1969	H023	65,016	18.4	14,506,264	10.5
..Built 1950 to 1959	H024	36,653	10.4	14,087,506	10.2
..Built 1940 to 1949	H025	14,053	4.0	6,658,408	4.8
..Built 1939 or earlier	H026	11,470	3.3	17,184,492	12.4
ROOMS
.Total housing units	H027	352,788	100.0	138,432,751	100.0
..1 room	H028	22,098	6.3	3,250,217	2.3
..2 rooms	H029	26,256	7.4	3,910,325	2.8
..3 rooms	H030	48,872	13.9	12,459,781	9.0
..4 rooms	H031	71,478	20.3	22,231,547	16.1
..5 rooms	H032	60,457	17.1	26,672,922	19.3
..6 rooms	H033	49,960	14.2	24,582,222	17.8
..7 rooms	H034	28,500	8.1	16,793,623	12.1
..8 rooms	H035	20,487	5.8	12,195,373	8.8
..9 rooms or more	H036	24,680	7.0	16,336,741	11.8
..Median rooms	H037	4.6		5.5
BEDROOMS
.Total housing units	H038	352,788	100.0	138,432,751	100.0
..No bedroom	H039	23,641	6.7	3,588,040	2.6
..1 bedroom	H040	44,490	12.6	14,957,832	10.8
..2 bedrooms	H041	93,301	26.4	35,542,796	25.7
..3 bedrooms	H042	112,344	31.8	54,448,649	39.3
..4 bedrooms	H043	57,488	16.3	23,528,958	17.0
..5 or more bedrooms	H044	21,524	6.1	6,366,476	4.6
HOUSING TENURE
.Occupied housing units	H045	316,928	100.0	122,354,219	100.0
..Owner-occupied	H046	182,360	57.5	78,801,376	64.4
..Renter-occupied	H047	134,568	42.5	43,552,843	35.6
..Average household size of owner-occupied unit	H048	3.14		2.69
..Average household size of renter-occupied unit	H049	2.76		2.45
YEAR HOUSEHOLDER MOVED INTO UNIT
.Occupied housing units	H050	316,928	100.0	122,354,219	100.0
..Moved in 2017 or later	H051	15,931	5.0	5,926,790	4.8
..Moved in 2015 to 2016	H052	88,197	27.8	34,811,034	28.5
..Moved in 2010 to 2014	H053	55,501	17.5	24,361,511	19.9
..Moved in 2000 to 2009	H054	62,402	19.7	27,220,198	22.2
..Moved in 1990 to 1999	H055	34,783	11.0	14,760,836	12.1
..Moved in 1989 and earlier	H056	60,114	19.0	15,273,850	12.5
VEHICLES AVAILABLE
.Occupied housing units	H057	316,928	100.0	122,354,219	100.0
..No vehicles available	H058	30,116	9.5	10,344,521	8.5
..1 vehicle available	H059	108,408	34.2	39,756,914	32.5
..2 vehicles available	H060	109,666	34.6	45,389,464	37.1
..3 or more vehicles available	H061	68,738	21.7	26,863,320	22.0
HOUSE HEATING FUEL
.Occupied housing units	H062	316,928	100.0	122,354,219	100.0
..Utility gas	H063	10,170	3.2	58,269,718	47.6
..Bottled, tank, or LP gas	H064	2,543	0.8	5,925,357	4.8
..Electricity	H065	121,043	38.2	48,141,177	39.3
..Fuel oil, kerosene, etc.	H066	129	0.0	5,599,403	4.6
..Coal or coke	H067	100	0.0	114,177	0.1
..Wood	H068	87	0.0	2,075,845	1.7
..Solar energy	H069	12,614	4.0	222,369	0.2
..Other fuel	H070	172	0.1	600,652	0.5
..No fuel used	H071	170,070	53.7	1,405,521	1.1
SELECTED CHARACTERISTICS
.Occupied housing units	H072	316,928	100.0	122,354,219	100.0
..Lacking complete plumbing facilities	H073	1,659	0.5	460,275	0.4
..Lacking complete kitchen facilities	H074	4,557	1.4	1,016,528	0.8
..No telephone service available	H075	5,341	1.7	1,976,696	1.6
OCCUPANTS PER ROOM
.Occupied housing units	H076	316,928	100.0	122,354,219	100.0
..1.00 or less	H077	288,889	91.2	118,293,570	96.7
..1.01 to 1.50	H078	16,705	5.3	2,722,626	2.2
..1.51 or more	H079	11,334	3.6	1,338,023	1.1
VALUE
.Owner-occupied units	H080	182,360	100.0	78,801,376	100.0
..Less than $50,000	H081	1,312	0.7	5,172,474	6.6
..$50,000 to $99,999	H082	1,132	0.6	8,698,428	11.0
..$100,000 to $149,999	H083	1,337	0.7	9,730,077	12.3
..$150,000 to $199,999	H084	1,569	0.9	10,727,302	13.6
..$200,000 to $299,999	H085	7,819	4.3	15,730,458	20.0
..$300,000 to $499,999	H086	34,542	18.9	16,173,336	20.5
..$500,000 to $999,999	H087	99,029	54.3	9,682,662	12.3
..$1,000,000 or more	H088	35,620	19.5	2,886,639	3.7
..Median (dollars)	H089	702,300		229,800
MORTGAGE STATUS
.Owner-occupied units	H090	182,360	100.0	78,801,376	100.0
..Housing units with a mortgage	H091	120,650	66.2	48,974,364	62.1
..Housing units without a mortgage	H092	61,710	33.8	29,827,012	37.9
SELECTED MONTHLY OWNER COSTS (SMOC)
.Housing units with a mortgage	H093	120,650	100.0	48,974,364	100.0
..Less than $500	H094	707	0.6	568,141	1.2
..$500 to $999	H095	4,176	3.5	8,020,937	16.4
..$1,000 to $1,499	H096	10,938	9.1	13,146,307	26.8
..$1,500 to $1,999	H097	17,277	14.3	10,324,027	21.1
..$2,000 to $2,499	H098	21,620	17.9	6,485,860	13.2
..$2,500 to $2,999	H099	19,900	16.5	3,999,769	8.2
..$3,000 or more	H100	46,032	38.2	6,429,323	13.1
..Median (dollars)	H101	2,641		1,621
.Housing units without a mortgage	H102	61,710	100.0	29,827,012	100.0
..Less than $250	H103	4,045	6.6	3,317,647	11.1
..$250 to $399	H104	7,881	12.8	6,680,713	22.4
..$400 to $599	H105	17,976	29.1	8,428,059	28.3
..$600 to $799	H106	13,435	21.8	5,014,006	16.8
..$800 to $999	H107	8,270	13.4	2,660,659	8.9
..$1,000 or more	H108	10,103	16.4	3,725,928	12.5
..Median (dollars)	H109	614		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	120,263	100.0	48,744,731	100.0
..Less than 20.0 percent	H111	39,980	33.2	22,762,635	46.7
..20.0 to 24.9 percent	H112	18,507	15.4	7,593,802	15.6
..25.0 to 29.9 percent	H113	16,135	13.4	5,044,205	10.3
..30.0 to 34.9 percent	H114	11,861	9.9	3,314,853	6.8
..35.0 percent or more	H115	33,780	28.1	10,029,236	20.6
..Not computed	H116	387	-1.0	229,633	-1.0
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed)	H117	61,018	100.0	29,428,138	100.0
..Less than 10.0 percent	H118	32,271	52.9	13,449,955	45.7
..10.0 to 14.9 percent	H119	9,980	16.4	5,686,876	19.3
..15.0 to 19.9 percent	H120	5,383	8.8	3,208,798	10.9
..20.0 to 24.9 percent	H121	3,803	6.2	1,935,622	6.6
..25.0 to 29.9 percent	H122	2,203	3.6	1,248,280	4.2
..30.0 to 34.9 percent	H123	1,328	2.2	834,409	2.8
..35.0 percent or more	H124	6,050	9.9	3,064,198	10.4
..Not computed	H125	692	-1.0	398,874	-1.0
GROSS RENT
.Occupied units paying rent	H126	128,613	100.0	41,390,514	100.0
..Less than $500	H127	7,359	5.7	3,679,331	8.9
..$500 to $999	H128	12,392	9.6	14,206,622	34.3
..$1,000 to $1,499	H129	30,109	23.4	12,515,982	30.2
..$1,500 to $1,999	H130	25,889	20.1	6,187,736	14.9
..$2,000 to $2,499	H131	19,018	14.8	2,558,549	6.2
..$2,500 to $2,999	H132	13,950	10.8	1,088,264	2.6
..$3,000 or more	H133	19,896	15.5	1,154,030	2.8
..Median (dollars)	H134	1,779		1,096
..No rent paid	H135	5,955	-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	126,596	100.0	40,484,226	100.0
..Less than 15.0 percent	H137	12,073	9.5	5,405,002	13.4
..15.0 to 19.9 percent	H138	13,067	10.3	5,254,304	13.0
..20.0 to 24.9 percent	H139	14,852	11.7	5,227,400	12.9
..25.0 to 29.9 percent	H140	15,030	11.9	4,711,468	11.6
..30.0 to 34.9 percent	H141	12,063	9.5	3,679,430	9.1
..35.0 percent or more	H142	59,511	47.0	16,206,622	40.0
..Not computed	H143	7,972	-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	28,466	100.0	430,346	100.0	6,637,097,080	100.0	1,186
Total, Federal	10	1	183	0.6	31,423	7.3	643,142,528	9.7	1,574
Total, State	10	2	330	1.2	47,172	11.0	677,837,153	10.2	1,105
Total, Local	10	3	29	0.1	11,645	2.7	238,705,763	3.6	1,577
Total, Private	10	5	27,924	98.1	340,105	79.0	5,077,411,636	76.5	1,148
Agriculture, forestry, fishing and hunting	11	5	176	0.6	1,696	0.4	17,015,020	0.3	772
Crop production	111	5	92	0.3	1,389	0.3	13,407,723	0.2	743
Animal production	112	5	17	0.1	143	0.0	870,294	0.0	468
Forestry and logging	113	5	1	0.0	0	0.0	0	0.0	0
Fishing, hunting and trapping	114	5	57	0.2	96	0.0	2,236,398	0.0	1,786
Agriculture and forestry support activities	115	5	9	0.0	0	0.0	0	0.0	0
Mining	21	5	8	0.0	223	0.1	5,535,201	0.1	1,912
Mining, except oil and gas	212	5	7	0.0	0	0.0	0	0.0	0
Support activities for mining	213	5	1	0.0	0	0.0	0	0.0	0
Utilities	22	3	2	0.0	0	0.0	0	0.0	0
Utilities	22	5	37	0.1	2,316	0.5	74,885,402	1.1	2,488
Utilities	221	3	2	0.0	0	0.0	0	0.0	0
Utilities	221	5	37	0.1	2,316	0.5	74,885,402	1.1	2,488
Construction	23	3	1	0.0	0	0.0	0	0.0	0
Construction	23	5	2,376	8.3	25,794	6.0	508,027,275	7.7	1,515
Construction of buildings	236	5	829	2.9	7,612	1.8	158,366,168	2.4	1,600
Heavy and civil engineering construction	237	3	1	0.0	0	0.0	0	0.0	0
Heavy and civil engineering construction	237	5	170	0.6	2,943	0.7	73,787,174	1.1	1,929
Specialty trade contractors	238	5	1,377	4.8	15,239	3.5	275,873,933	4.2	1,393
Manufacturing	31-33	1	1	0.0	6,424	1.5	149,334,734	2.3	1,788
Manufacturing	31-33	5	646	2.3	8,982	2.1	112,344,329	1.7	962
Food manufacturing	311	5	217	0.8	4,137	1.0	36,908,099	0.6	686
Beverage and tobacco product manufacturing	312	5	19	0.1	749	0.2	11,666,628	0.2	1,198
Textile mills	313	5	1	0.0	0	0.0	0	0.0	0
Textile product mills	314	5	13	0.0	126	0.0	1,339,687	0.0	816
Apparel manufacturing	315	5	44	0.2	245	0.1	2,141,745	0.0	673
Leather and allied product manufacturing	316	5	4	0.0	62	0.0	405,849	0.0	506
Wood product manufacturing	321	5	12	0.0	115	0.0	926,082	0.0	618
Paper manufacturing	322	5	3	0.0	0	0.0	0	0.0	0
Printing and related support activities	323	5	74	0.3	408	0.1	3,979,022	0.1	750
Petroleum and coal products manufacturing	324	5	8	0.0	0	0.0	0	0.0	0
Chemical manufacturing	325	5	22	0.1	201	0.0	2,950,109	0.0	1,127
Plastics and rubber products manufacturing	326	5	16	0.1	0	0.0	0	0.0	0
Nonmetallic mineral product manufacturing	327	5	18	0.1	393	0.1	7,827,523	0.1	1,531
Primary metal manufacturing	331	5	1	0.0	0	0.0	0	0.0	0
Fabricated metal product manufacturing	332	5	30	0.1	262	0.1	4,419,162	0.1	1,296
Machinery manufacturing	333	5	3	0.0	0	0.0	0	0.0	0
Computer and electronic product manufacturing	334	5	9	0.0	193	0.0	3,922,525	0.1	1,561
Electrical equipment and appliance manufacturing	335	5	2	0.0	0	0.0	0	0.0	0
Transportation equipment manufacturing	336	1	1	0.0	6,424	1.5	149,334,734	2.3	1,788
Transportation equipment manufacturing	336	5	26	0.1	553	0.1	11,168,847	0.2	1,554
Furniture and related product manufacturing	337	5	27	0.1	208	0.0	2,358,238	0.0	871
Miscellaneous manufacturing	339	5	97	0.3	654	0.2	6,895,148	0.1	811
Wholesale trade	42	5	1,541	5.4	13,330	3.1	229,588,117	3.5	1,325
Merchant wholesalers, durable goods	423	5	726	2.6	5,309	1.2	101,343,937	1.5	1,468
Merchant wholesalers, nondurable goods	424	5	607	2.1	7,408	1.7	118,071,971	1.8	1,226
Electronic markets and agents and brokers	425	5	208	0.7	612	0.1	10,172,209	0.2	1,278
Retail trade	44-45	1	20	0.1	2,031	0.5	16,057,149	0.2	608
Retail trade	44-45	5	2,785	9.8	41,564	9.7	423,513,795	6.4	784
Motor vehicle and parts dealers	441	5	203	0.7	4,501	1.0	90,543,350	1.4	1,547
Building material and garden supply stores	444	1	1	0.0	79	0.0	544,817	0.0	533
Building material and garden supply stores	444	5	85	0.3	2,338	0.5	23,393,347	0.4	770
Food and beverage stores	445	1	13	0.0	519	0.1	5,021,299	0.1	745
Food and beverage stores	445	5	494	1.7	9,638	2.2	81,564,136	1.2	651
Food and beverage stores	449	1	2	0.0	39	0.0	208,946	0.0	412
Food and beverage stores	449	5	180	0.6	1,756	0.4	25,940,705	0.4	1,136
Food and beverage stores	455	1	3	0.0	1,389	0.3	10,243,463	0.2	567
Food and beverage stores	455	5	83	0.3	8,828	2.1	74,344,620	1.1	648
Food and beverage stores	456	5	335	1.2	3,759	0.9	38,147,890	0.6	781
Food and beverage stores	457	5	122	0.4	880	0.2	7,030,161	0.1	615
Food and beverage stores	458	5	687	2.4	5,685	1.3	49,743,282	0.7	673
Food and beverage stores	459	1	1	0.0	5	0.0	38,624	0.0	594
Food and beverage stores	459	5	596	2.1	4,180	1.0	32,806,304	0.5	604
Transportation and warehousing	48-49	1	38	0.1	2,078	0.5	39,425,208	0.6	1,460
Transportation and warehousing	48-49	3	1	0.0	0	0.0	0	0.0	0
Transportation and warehousing	48-49	5	677	2.4	20,472	4.8	370,208,755	5.6	1,391
Air transportation	481	5	43	0.2	7,426	1.7	189,669,368	2.9	1,965
Water transportation	483	5	14	0.0	889	0.2	26,989,674	0.4	2,336
Truck transportation	484	5	167	0.6	2,386	0.6	28,487,505	0.4	919
Transit and ground passenger transportation	485	3	1	0.0	0	0.0	0	0.0	0
Transit and ground passenger transportation	485	5	87	0.3	2,782	0.6	15,093,289	0.2	417
Scenic and sightseeing transportation	487	5	74	0.3	1,302	0.3	12,003,968	0.2	709
Support activities for transportation	488	5	213	0.7	3,290	0.8	67,079,012	1.0	1,568
Postal service	491	1	36	0.1	1,915	0.4	38,222,367	0.6	1,535
Couriers and messengers	492	5	35	0.1	1,575	0.4	20,249,597	0.3	989
Warehousing and storage	493	1	2	0.0	162	0.0	1,202,841	0.0	570
Warehousing and storage	493	5	44	0.2	822	0.2	10,636,342	0.2	995
Information	51	1	1	0.0	7	0.0	70,631	0.0	815
Information	51	2	8	0.0	345	0.1	4,211,448	0.1	938
Information	51	3	1	0.0	0	0.0	0	0.0	0
Information	51	5	750	2.6	6,967	1.6	139,759,127	2.1	1,543
Motion picture and sound recording industries	512	1	1	0.0	7	0.0	70,631	0.0	815
Motion picture and sound recording industries	512	5	128	0.4	2,330	0.5	30,739,986	0.5	1,015
Motion picture and sound recording industries	513	5	215	0.8	853	0.2	17,573,255	0.3	1,584
Internet publishing and broadcasting	516	5	51	0.2	677	0.2	12,466,919	0.2	1,417
Telecommunications	517	5	126	0.4	2,601	0.6	63,101,746	1.0	1,866
ISPs, search portals, and data processing	518	3	1	0.0	0	0.0	0	0.0	0
ISPs, search portals, and data processing	518	5	217	0.8	392	0.1	12,683,940	0.2	2,491
Other information services	519	2	8	0.0	345	0.1	4,211,448	0.1	938
Other information services	519	5	13	0.0	113	0.0	3,193,281	0.0	2,174
Finance and insurance	52	1	2	0.0	12	0.0	313,757	0.0	2,011
Finance and insurance	52	5	1,292	4.5	13,014	3.0	369,142,116	5.6	2,182
Credit intermediation and related activities	522	1	2	0.0	12	0.0	313,757	0.0	2,011
Credit intermediation and related activities	522	5	514	1.8	5,962	1.4	171,710,873	2.6	2,215
Securities, commodity contracts, investments	523	5	262	0.9	959	0.2	47,771,579	0.7	3,831
Insurance carriers and related activities	524	5	496	1.7	6,045	1.4	149,112,158	2.2	1,898
Funds, trusts, and other financial vehicles	525	5	20	0.1	47	0.0	547,506	0.0	890
Real estate and rental and leasing	53	5	1,270	4.5	7,733	1.8	147,142,814	2.2	1,464
Real estate	531	5	1,045	3.7	5,769	1.3	117,692,112	1.8	1,569
Rental and leasing services	532	5	222	0.8	0	0.0	0	0.0	0
Lessors of nonfinancial intangible assets	533	5	3	0.0	0	0.0	0	0.0	0
Professional and technical services	54	1	11	0.0	2,234	0.5	52,538,785	0.8	1,809
Professional and technical services	54	2	2	0.0	0	0.0	0	0.0	0
Professional and technical services	54	5	3,863	13.6	21,233	4.9	451,107,293	6.8	1,634
Professional and technical services	541	1	11	0.0	2,234	0.5	52,538,785	0.8	1,809
Professional and technical services	541	2	2	0.0	0	0.0	0	0.0	0
Professional and technical services	541	5	3,863	13.6	21,233	4.9	451,107,293	6.8	1,634
Management of companies and enterprises	55	5	313	1.1	7,809	1.8	228,490,334	3.4	2,251
Management of companies and enterprises	551	5	313	1.1	7,809	1.8	228,490,334	3.4	2,251
Administrative and waste services	56	2	1	0.0	0	0.0	0	0.0	0
Administrative and waste services	56	3	1	0.0	0	0.0	0	0.0	0
Administrative and waste services	56	5	1,820	6.4	24,839	5.8	272,532,319	4.1	844
Administrative and support services	561	2	1	0.0	0	0.0	0	0.0	0
Administrative and support services	561	3	1	0.0	0	0.0	0	0.0	0
Administrative and support services	561	5	1,712	6.0	23,219	5.4	244,879,503	3.7	811
Waste management and remediation services	562	5	108	0.4	1,620	0.4	27,652,816	0.4	1,313
Educational services	61	1	1	0.0	26	0.0	427,745	0.0	1,282
Educational services	61	2	163	0.6	29,537	6.9	382,569,997	5.8	996
Educational services	61	5	637	2.2	10,733	2.5	120,627,147	1.8	865
Educational services	611	1	1	0.0	26	0.0	427,745	0.0	1,282
Educational services	611	2	163	0.6	29,537	6.9	382,569,997	5.8	996
Educational services	611	5	637	2.2	10,733	2.5	120,627,147	1.8	865
Health care and social assistance	62	1	12	0.0	2,808	0.7	61,306,962	0.9	1,679
Health care and social assistance	62	2	22	0.1	1,702	0.4	29,847,979	0.4	1,349
Health care and social assistance	62	3	3	0.0	0	0.0	0	0.0	0
Health care and social assistance	62	5	3,578	12.6	53,681	12.5	882,054,609	13.3	1,264
Ambulatory health care services	621	1	3	0.0	604	0.1	12,980,523	0.2	1,654
Ambulatory health care services	621	2	2	0.0	0	0.0	0	0.0	0
Ambulatory health care services	621	3	2	0.0	0	0.0	0	0.0	0
Ambulatory health care services	621	5	2,385	8.4	22,982	5.3	433,699,628	6.5	1,452
Hospitals	622	1	3	0.0	1,826	0.4	44,431,616	0.7	1,871
Hospitals	622	2	12	0.0	1,024	0.2	21,944,321	0.3	1,648
Hospitals	622	5	15	0.1	14,064	3.3	301,302,112	4.5	1,648
Nursing and residential care facilities	623	2	4	0.0	294	0.1	5,040,151	0.1	1,320
Nursing and residential care facilities	623	5	141	0.5	6,022	1.4	63,245,117	1.0	808
Social assistance	624	1	6	0.0	378	0.1	3,894,823	0.1	792
Social assistance	624	2	4	0.0	0	0.0	0	0.0	0
Social assistance	624	3	1	0.0	0	0.0	0	0.0	0
Social assistance	624	5	1,037	3.6	10,614	2.5	83,807,752	1.3	607
Arts, entertainment, and recreation	71	1	12	0.0	1,456	0.3	12,698,697	0.2	671
Arts, entertainment, and recreation	71	2	1	0.0	0	0.0	0	0.0	0
Arts, entertainment, and recreation	71	3	1	0.0	0	0.0	0	0.0	0
Arts, entertainment, and recreation	71	5	411	1.4	6,434	1.5	48,779,813	0.7	583
Performing arts and spectator sports	711	2	1	0.0	0	0.0	0	0.0	0
Performing arts and spectator sports	711	3	1	0.0	0	0.0	0	0.0	0
Performing arts and spectator sports	711	5	164	0.6	703	0.2	8,103,261	0.1	886
Museums, historical sites, zoos, and parks	712	1	2	0.0	50	0.0	1,056,213	0.0	1,636
Museums, historical sites, zoos, and parks	712	5	31	0.1	1,799	0.4	13,237,763	0.2	566
Amusements, gambling, and recreation	713	1	10	0.0	1,406	0.3	11,642,484	0.2	637
Amusements, gambling, and recreation	713	5	216	0.8	3,932	0.9	27,438,789	0.4	537
Accommodation and food services	72	1	8	0.0	847	0.2	11,305,539	0.2	1,027
Accommodation and food services	72	5	2,851	10.0	55,479	12.9	485,403,105	7.3	673
Accommodation	721	1	7	0.0	834	0.2	11,202,275	0.2	1,033
Accommodation	721	5	163	0.6	14,607	3.4	215,719,579	3.3	1,136
Food services and drinking places	722	1	1	0.0	12	0.0	103,264	0.0	644
Food services and drinking places	722	5	2,688	9.4	40,872	9.5	269,683,526	4.1	508
Other services, except public administration	81	1	2	0.0	784	0.2	6,760,566	0.1	663
Other services, except public administration	81	5	2,893	10.2	17,808	4.1	191,255,065	2.9	826
Repair and maintenance	811	1	1	0.0	33	0.0	302,124	0.0	711
Repair and maintenance	811	5	540	1.9	2,892	0.7	38,233,663	0.6	1,017
Personal and laundry services	812	5	806	2.8	5,174	1.2	40,564,283	0.6	603
Membership associations and organizations	813	1	1	0.0	751	0.2	6,458,442	0.1	661
Membership associations and organizations	813	5	1,412	5.0	9,609	2.2	110,975,402	1.7	888
Private households	814	5	135	0.5	134	0.0	1,481,717	0.0	853
Public administration	92	1	75	0.3	12,718	3.0	292,902,755	4.4	1,772
Public administration	92	2	133	0.5	12,929	3.0	228,354,238	3.4	1,359
Public administration	92	3	19	0.1	5,408	1.3	135,522,707	2.0	1,928
Executive, legislative and general government	921	1	3	0.0	138	0.0	3,625,755	0.1	2,021
Executive, legislative and general government	921	2	29	0.1	1,725	0.4	29,349,627	0.4	1,309
Executive, legislative and general government	921	3	8	0.0	620	0.1	11,673,925	0.2	1,448
Justice, public order, and safety activities	922	1	12	0.0	1,125	0.3	29,569,805	0.4	2,022
Justice, public order, and safety activities	922	2	29	0.1	3,546	0.8	68,522,121	1.0	1,486
Justice, public order, and safety activities	922	3	5	0.0	3,915	0.9	107,679,291	1.6	2,116
Administration of human resource programs	923	1	10	0.0	1,595	0.4	35,453,413	0.5	1,710
Administration of human resource programs	923	2	29	0.1	4,205	1.0	73,070,069	1.1	1,337
Administration of environmental programs	924	1	7	0.0	529	0.1	14,326,131	0.2	2,083
Administration of environmental programs	924	2	16	0.1	423	0.1	7,156,795	0.1	1,301
Community and housing program administration	925	1	1	0.0	21	0.0	646,622	0.0	2,332
Community and housing program administration	925	2	8	0.0	0	0.0	0	0.0	0
Community and housing program administration	925	3	3	0.0	0	0.0	0	0.0	0
Administration of economic programs	926	1	22	0.1	1,636	0.4	32,668,770	0.5	1,536
Administration of economic programs	926	2	20	0.1	2,312	0.5	39,021,619	0.6	1,298
Administration of economic programs	926	3	3	0.0	0	0.0	0	0.0	0
National security and international affairs	928	1	20	0.1	7,673	1.8	176,612,259	2.7	1,770
National security and international affairs	928	2	2	0.0	0	0.0	0	0.0	0

4.1 Census Tract Demographic-Economic Characteristics .. goto topics

There are 330 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
15003000107	2,518	1,308	1,210	671	0	6	1,102	46	35	658	209	530	2,518	851	699	1,753	144	113	851	727	124	55	125,536	131,250	953,900	2,625	0
15003000108	2,952	1,513	1,439	991	132	0	967	339	20	503	96	909	2,952	1,186	949	2,309	148	162	1,186	984	202	188	142,844	143,501	832,300	3,263	0
15003000110	4,021	2,061	1,960	1,173	15	0	1,722	120	0	991	141	885	4,007	1,318	1,131	2,762	218	179	1,318	1,205	113	99	128,438	162,321	912,300	3,263	0
15003000114	1,548	789	759	742	19	0	363	18	4	402	158	334	1,548	452	390	1,070	23	32	452	361	91	127	230,385	232,500	1,975,700	3,501	0
15003000115	2,459	1,143	1,316	716	5	0	1,162	60	37	479	171	1,056	2,454	988	583	1,896	126	269	988	589	399	165	88,273	111,696	837,900	2,276	0
15003000116	2,140	825	1,315	565	0	0	1,189	40	0	346	164	586	2,140	1,025	597	1,591	35	49	1,025	748	277	120	96,208	99,036	671,000	2,347	0
15003000117	1,381	698	683	349	0	0	735	0	0	297	147	290	1,381	404	393	908	112	75	404	288	116	230	152,929	103,640	824,100	2,302	0
15003000118	1,845	990	855	758	0	0	784	0	15	288	95	319	1,845	619	478	1,282	108	78	619	562	57	11	156,801	160,234	970,900	2,487	0
15003000119	2,106	1,067	1,039	379	0	0	1,271	72	26	358	185	660	2,106	708	599	1,551	152	218	708	680	28	54	123,750	147,875	909,200	3,156	0
15003000120	2,142	1,048	1,094	564	16	11	1,094	29	1	427	152	518	2,124	733	634	1,495	30	39	733	648	85	69	147,117	153,750	999,000	3,154	0
15003000121	2,286	1,113	1,173	1,012	0	7	845	0	0	422	176	542	2,286	902	706	1,852	48	106	902	672	230	164	129,167	144,615	794,700	3,501	0
15003000122	3,000	1,489	1,511	222	0	0	1,635	295	72	776	296	1,003	2,974	942	837	2,443	271	307	942	902	40	0	147,083	153,438	863,500	-6	0
15003000200	5,359	2,740	2,619	895	4	0	2,601	189	0	1,670	50	1,235	5,277	1,696	1,322	3,932	333	248	1,696	1,484	212	317	148,750	174,000	991,800	2,581	0
15003000301	3,540	1,679	1,861	854	37	0	1,714	139	15	781	126	774	3,535	1,185	909	2,723	232	152	1,185	1,049	136	147	159,654	182,664	1,131,800	2,712	0
15003000302	2,791	1,354	1,437	364	0	21	1,560	28	0	818	112	775	2,766	856	704	2,078	215	203	856	713	143	82	150,875	147,105	1,081,100	2,406	0
15003000401	2,539	1,195	1,344	613	2	0	1,446	104	0	374	75	1,000	2,464	993	781	2,110	96	159	993	853	140	62	134,899	155,469	1,211,100	2,000	0
15003000402	3,570	1,829	1,741	1,044	0	0	1,986	0	4	536	29	1,033	3,570	1,235	1,027	2,887	76	193	1,235	1,118	117	76	160,250	193,750	1,446,300	2,889	0
15003000500	3,432	1,807	1,625	1,211	0	0	1,503	165	31	522	62	992	3,432	1,313	907	2,646	174	282	1,313	1,001	312	357	147,375	167,340	1,842,200	3,100	1
15003000600	1,465	669	796	429	7	3	585	77	49	315	110	391	1,465	506	403	1,183	39	134	506	427	79	73	130,588	155,107	2,000,001	2,381	1
15003000700	3,419	1,512	1,907	256	0	0	2,064	187	0	912	89	767	3,369	1,079	862	2,706	318	340	1,079	706	373	58	110,492	113,026	1,010,500	2,194	0
15003000800	3,716	1,900	1,816	710	35	19	2,039	177	26	710	220	1,040	3,589	1,273	824	2,854	342	283	1,273	759	514	92	88,750	120,833	1,100,900	2,010	0
15003000901	2,449	1,251	1,198	387	0	0	1,485	0	45	532	88	935	2,449	1,119	651	1,955	71	152	1,119	656	463	235	101,146	124,653	681,800	2,421	0
15003000903	2,839	1,417	1,422	664	3	0	1,521	117	25	509	323	650	2,839	920	598	2,093	160	171	920	527	393	87	96,250	125,682	1,029,600	1,874	0
15003000904	2,492	1,368	1,124	838	0	0	1,092	139	30	393	154	420	2,492	690	503	1,845	164	314	690	550	140	93	143,594	119,219	1,158,200	1,884	0
15003000905	2,459	1,196	1,263	789	94	0	863	90	0	623	125	651	2,355	748	624	1,855	102	132	748	645	103	27	139,313	152,500	1,298,000	1,785	0
15003001000	3,091	1,533	1,558	417	6	0	1,456	411	4	797	225	976	2,971	1,042	664	2,573	593	466	1,042	683	359	82	63,514	95,000	761,700	2,393	0
15003001101	1,888	1,018	870	290	0	0	482	812	36	268	242	214	1,888	503	262	1,258	107	185	503	166	337	31	-6	69,500	655,300	970	0
15003001102	1,843	911	932	255	2	0	729	627	10	220	83	371	1,836	697	421	1,312	193	269	697	387	310	0	49,726	92,375	800,900	1,188	0
15003001201	3,081	1,649	1,432	235	10	0	1,756	227	51	802	202	678	3,081	1,032	717	2,271	318	202	1,032	460	572	108	86,286	110,771	872,000	1,472	0
15003001202	2,977	1,494	1,483	327	0	0	1,655	63	0	932	201	599	2,949	926	635	2,089	343	215	926	503	423	125	93,088	106,402	805,100	1,460	0
15003001300	4,105	1,705	2,400	919	13	0	2,094	131	39	909	480	993	3,992	1,361	930	2,991	324	486	1,361	671	690	274	70,144	74,444	787,700	1,750	0
15003001400	2,703	1,382	1,321	338	6	4	1,852	48	5	450	117	759	2,703	926	698	2,125	166	206	926	684	242	51	123,676	148,409	1,011,200	2,283	0
15003001501	1,728	791	937	274	1	35	1,053	37	0	328	9	333	1,723	613	371	1,453	174	171	613	240	373	30	-6	116,458	898,100	1,353	0
15003001502	2,291	1,108	1,183	486	0	29	1,136	106	5	529	290	526	2,291	760	528	1,893	264	225	760	438	322	117	113,681	124,250	932,500	1,887	0
15003001601	1,982	1,018	964	426	5	10	1,146	27	0	368	15	351	1,954	770	483	1,599	157	137	770	374	396	48	86,848	104,219	953,800	1,588	0
15003001602	1,613	825	788	307	23	1	764	233	14	271	75	353	1,603	499	339	1,205	134	187	499	325	174	82	107,708	125,046	939,600	2,587	0
15003001700	1,756	769	987	935	11	6	441	35	16	312	88	468	1,756	977	381	1,427	49	88	977	698	279	608	92,426	96,350	815,800	2,186	1
15003001801	967	503	464	360	20	5	409	59	19	95	34	233	938	618	217	868	39	154	618	172	446	795	49,375	110,750	474,200	1,384	1
15003001803	2,505	1,220	1,285	1,086	58	0	779	77	33	472	202	462	2,505	1,544	491	2,123	147	235	1,544	473	1,071	708	58,591	82,650	426,200	1,386	0
15003001804	1,473	750	723	630	0	0	605	102	16	120	29	409	1,473	863	278	1,115	44	134	863	435	428	411	63,371	63,125	424,800	1,728	0
15003001901	251	160	91	148	0	0	74	0	0	29	13	104	251	154	74	243	19	42	154	93	61	1,932	88,000	90,714	614,600	1,500	1
15003001905	1,553	835	718	703	0	0	609	96	0	145	27	261	1,553	987	258	1,337	268	166	987	431	556	257	61,850	165,746	-6	1,813	0
15003001906	2,882	1,459	1,423	994	123	0	1,345	71	32	317	135	703	2,882	1,534	606	2,488	138	258	1,534	855	679	647	84,167	115,900	530,500	1,764	0
15003001907	2,136	1,213	923	746	396	0	841	45	31	77	53	548	2,136	1,137	560	1,796	124	125	1,137	526	611	782	73,253	96,719	536,100	2,292	0
15003002003	1,542	694	848	771	3	0	666	45	2	55	33	351	1,542	1,021	230	1,392	66	38	1,021	474	547	892	54,006	74,271	361,200	1,739	0
15003002004	1,054	519	535	479	23	0	424	25	0	103	35	176	1,054	627	234	919	84	110	627	227	400	316	52,266	75,972	438,900	1,607	0
15003002005	1,911	864	1,047	734	55	8	911	7	28	168	135	416	1,911	1,223	325	1,642	152	268	1,223	328	895	714	58,583	77,656	455,800	1,307	0
15003002006	2,024	908	1,116	631	105	0	1,064	68	3	153	57	360	2,024	1,239	370	1,635	172	150	1,239	531	708	543	46,354	51,810	405,700	1,711	0
15003002101	2,026	1,081	945	554	0	0	944	184	0	344	157	301	1,988	915	510	1,309	168	106	915	260	655	81	45,865	46,167	408,000	1,407	0
15003002102	1,541	740	801	123	50	0	811	86	0	471	96	336	1,526	816	365	1,254	142	266	816	246	570	132	62,083	93,125	420,800	1,367	0
15003002203	2,009	1,054	955	422	0	7	1,034	120	19	407	120	455	1,862	786	479	1,391	154	121	786	461	325	191	88,281	94,219	584,900	1,926	0
15003002204	1,344	639	705	339	45	0	560	39	87	274	42	201	1,344	646	335	1,119	152	59	646	261	385	58	83,750	99,440	425,900	1,616	0
15003002205	2,118	1,068	1,050	280	41	0	1,481	44	1	271	30	409	2,118	1,101	568	1,772	81	61	1,101	443	658	105	75,583	114,087	605,500	1,388	0
15003002206	2,238	1,269	969	254	31	5	694	512	93	649	232	335	2,183	979	441	1,726	410	176	979	156	823	92	55,407	57,051	467,800	1,248	0
15003002301	3,812	1,776	2,036	323	5	0	2,159	252	16	1,057	542	447	3,784	1,724	894	2,781	227	161	1,724	785	939	212	63,179	95,369	405,500	1,440	0
15003002302	1,771	947	824	168	13	0	1,157	135	0	298	91	267	1,771	955	367	1,404	271	180	955	328	627	165	48,917	83,125	378,200	1,069	1
15003002401	3,360	1,747	1,613	585	32	31	1,620	310	74	708	300	532	3,360	1,313	749	2,352	277	199	1,313	328	985	142	60,805	70,417	478,200	1,375	0
15003002403	1,660	829	831	233	7	0	874	84	0	462	149	260	1,660	797	366	1,310	124	258	797	155	642	74	62,205	66,944	354,200	1,588	0
15003002404	1,346	644	702	166	62	8	756	91	34	229	106	288	1,346	649	312	1,141	140	83	649	170	479	136	53,429	57,292	396,600	1,251	0
15003002500	3,465	1,558	1,907	510	42	0	2,154	259	60	440	327	883	3,427	1,777	659	2,923	480	399	1,777	313	1,464	372	47,525	82,396	-6	1,271	0
15003002600	4,103	2,332	1,771	600	94	0	2,102	369	20	918	231	791	3,657	1,803	685	2,995	452	424	1,803	495	1,308	201	53,207	75,350	393,000	1,399	0
15003002701	5,672	2,625	3,047	1,429	153	42	2,275	340	32	1,401	460	212	1,627	747	318	1,703	201	62	747	259	488	75	70,561	130,909	998,500	1,421	1
15003002702	4,839	2,254	2,585	821	68	0	2,155	554	96	1,145	607	1,058	4,488	1,885	1,004	3,567	319	406	1,885	976	909	309	75,162	84,838	930,000	1,456	0
15003002801	1,670	810	860	365	0	0	939	11	4	351	11	437	1,622	634	460	1,261	114	123	634	522	112	6	96,944	109,357	884,600	2,813	0
15003002802	2,122	866	1,256	649	5	0	916	62	0	490	177	448	2,122	933	391	1,651	97	275	933	647	286	23	88,375	106,250	959,400	1,764	0
15003002900	2,355	1,166	1,189	660	0	0	1,200	30	10	455	55	385	2,321	967	560	1,747	91	78	967	517	450	26	99,050	146,250	1,206,600	1,465	0
15003003000	4,818	2,195	2,623	1,275	0	0	2,564	16	18	945	199	1,476	4,633	1,696	1,220	3,680	199	323	1,696	1,224	472	41	129,423	164,444	1,318,800	1,875	0
15003003102	3,368	1,732	1,636	456	0	0	2,366	58	0	488	104	1,303	3,306	1,286	902	2,709	201	207	1,286	1,175	111	165	114,357	141,250	1,115,600	1,961	0
15003003103	1,718	950	768	140	0	0	1,282	43	26	227	50	563	1,712	523	425	1,497	143	157	523	422	101	36	126,719	134,837	978,500	1,130	0
15003003104	2,624	1,293	1,331	519	0	0	1,200	43	0	862	98	587	2,624	782	699	1,821	115	137	782	679	103	25	166,154	191,375	1,182,000	1,948	0
15003003404	4,999	2,471	2,528	984	0	51	2,579	364	56	965	562	1,016	4,751	2,313	1,152	3,773	496	310	2,313	1,146	1,167	138	64,248	68,140	379,400	1,443	0
15003003408	1,763	854	909	422	34	0	907	169	0	231	29	393	1,763	1,037	430	1,632	130	288	1,037	561	476	126	53,310	68,362	298,000	1,400	0
15003003409	1,992	1,000	992	170	100	0	1,036	359	0	327	48	307	1,992	1,097	451	1,606	331	93	1,097	494	603	48	58,958	70,128	422,400	1,536	0
15003003410	1,796	812	984	170	20	0	946	578	0	82	69	219	1,796	686	372	1,212	202	94	686	233	453	0	58,644	52,197	507,300	1,261	0
15003003411	1,403	691	712	243	38	0	482	161	0	479	79	308	1,403	648	280	1,020	178	97	648	397	251	167	75,463	75,192	352,500	1,750	0
15003003412	1,842	816	1,026	536	0	0	872	281	0	153	19	247	1,842	913	410	1,506	67	0	913	478	435	31	77,578	83,241	377,200	1,732	0
15003003413	2,350	1,209	1,141	459	79	0	1,418	130	53	211	104	571	2,342	1,228	536	2,057	376	276	1,228	569	659	133	70,851	78,148	377,600	1,354	0
15003003414	4,388	2,191	2,197	962	122	8	2,409	231	13	643	348	1,090	4,327	2,364	912	3,689	253	329	2,364	772	1,592	159	65,833	91,250	455,600	1,366	0
15003003501	2,314	1,088	1,226	509	0	27	1,201	256	13	308	150	678	2,284	1,303	524	1,954	183	368	1,303	603	700	109	58,970	79,038	376,000	1,384	1
15003003503	955	394	561	39	73	0	414	281	0	148	0	299	955	553	136	815	42	138	553	67	486	141	50,469	79,202	469,600	859	0
15003003504	2,953	1,503	1,450	471	64	0	1,973	98	34	313	91	926	2,925	1,597	712	2,571	203	325	1,597	686	911	132	60,245	64,286	463,400	1,489	0
15003003603	3,394	1,620	1,774	219	100	0	2,764	65	10	236	171	874	3,394	1,787	703	2,865	403	310	1,787	595	1,192	263	43,625	61,222	424,600	1,052	0
15003003604	2,238	1,092	1,146	234	0	0	1,719	84	0	201	18	671	2,235	1,345	505	2,023	233	279	1,345	324	1,021	284	57,788	74,505	412,100	1,461	0
15003003605	914	543	371	77	0	0	623	76	0	138	62	207	914	433	178	735	119	71	433	39	394	59	43,917	73,125	354,800	1,337	0
15003003606	2,811	1,507	1,304	229	70	0	1,781	76	62	593	143	525	2,789	1,326	669	2,120	359	313	1,326	362	964	289	76,739	101,264	727,900	1,371	0
15003003701	2,177	1,231	946	318	0	0	1,092	421	0	346	46	373	2,089	981	440	1,769	153	213	981	362	619	170	53,954	70,000	496,300	1,465	0
15003003702	2,802	1,360	1,442	567	0	0	1,877	0	41	317	13	635	2,802	1,492	726	2,247	96	185	1,492	557	935	516	60,789	96,250	819,100	1,984	1
15003003703	2,666	1,507	1,159	437	47	0	1,654	62	129	337	195	634	2,666	1,407	971	2,289	21	96	1,407	1,023	384	706	81,473	93,882	922,700	2,878	0
15003003801	3,525	1,831	1,694	721	0	0	1,659	136	0	1,009	540	698	3,525	1,802	852	2,827	335	179	1,802	462	1,340	167	45,515	52,885	774,500	1,453	0
15003003802	4,569	2,076	2,493	642	316	0	3,122	25	0	464	265	552	4,569	2,283	1,238	3,801	321	326	2,283	1,270	1,013	289	106,526	106,429	654,500	2,256	0
15003003900	268	133	135	96	5	4	124	13	0	26	9	176	268	247	16	268	41	28	247	36	211	7	20,069	-6	339,100	632	1
15003004000	1,331	811	520	386	30	0	522	87	14	292	107	306	1,286	774	284	1,164	97	67	774	340	434	183	58,500	109,643	460,000	1,513	1
15003004101	1,617	816	801	339	33	18	516	306	25	380	25	200	1,617	1,030	378	1,454	188	159	1,030	364	666	43	61,935	-6	432,000	1,273	0
15003004102	2,459	1,375	1,084	320	1	0	1,207	525	0	406	363	462	2,450	1,224	477	1,813	280	206	1,224	412	812	89	54,537	79,716	317,500	1,379	0
15003004201	1,483	821	662	255	12	0	890	41	142	143	171	325	1,483	943	326	1,240	143	166	943	422	521	40	85,091	74,795	389,800	1,678	0
15003004202	1,726	816	910	388	0	0	825	19	45	449	90	342	1,726	928	387	1,515	135	129	928	528	400	183	79,167	132,688	490,500	1,704	1
15003004301	2,276	1,214	1,062	311	83	0	971	362	0	549	155	556	2,276	879	478	1,678	131	98	879	515	364	186	84,620	94,100	621,000	1,543	0
15003004302	2,913	1,446	1,467	547	7	0	961	372	0	1,026	704	429	2,876	1,071	665	1,981	273	333	1,071	247	824	314	68,007	86,801	461,400	1,321	0
15003004401	2,405	1,255	1,150	312	11	0	1,471	183	0	428	83	744	2,400	775	577	1,849	192	199	775	540	235	89	87,917	108,491	896,600	1,231	0
15003004402	2,710	1,381	1,329	129	2	0	952	702	0	925	127	526	2,710	776	569	1,936	284	370	776	669	107	68	133,682	134,710	805,100	1,674	0
15003004500	5,328	2,498	2,830	1,121	105	0	2,657	190	70	1,185	368	1,528	5,219	2,121	1,279	3,978	277	410	2,121	1,319	802	337	108,336	127,721	915,000	2,115	0
15003004600	3,989	2,018	1,971	470	29	0	2,037	53	18	1,382	132	998	3,815	1,096	847	3,079	397	366	1,096	812	284	53	144,516	185,994	1,128,200	2,040	0
15003004701	2,203	1,073	1,130	387	24	0	1,197	24	27	544	221	754	2,203	737	574	1,722	177	122	737	647	90	63	115,987	145,294	882,300	2,815	0
15003004702	2,611	1,167	1,444	373	1	0	1,472	275	0	490	113	752	2,567	734	543	2,075	222	256	734	454	280	65	145,551	148,906	940,000	2,068	1
15003004801	3,499	1,770	1,729	324	0	0	1,844	346	0	985	149	565	2,932	963	497	2,689	286	309	963	799	164	8	79,605	142,132	835,300	1,723	0
15003004802	3,419	1,635	1,784	279	67	0	2,358	243	0	472	156	588	3,308	918	661	2,691	428	447	918	536	382	86	98,446	120,083	972,900	1,220	0
15003004900	3,826	1,867	1,959	209	3	0	2,195	533	42	844	283	822	3,711	999	756	2,730	464	448	999	428	571	66	70,438	80,086	689,400	1,614	0
15003005000	4,167	2,190	1,977	533	4	8	2,784	194	16	628	354	1,129	3,698	1,464	791	3,260	403	451	1,464	543	921	128	65,300	76,122	774,400	1,381	0
15003005100	2,873	1,359	1,514	470	52	0	2,076	70	0	205	89	745	2,873	1,543	691	2,480	166	311	1,543	487	1,056	143	57,574	56,287	564,500	959	1
15003005200	2,241	1,059	1,182	168	148	0	1,713	77	21	114	75	666	2,203	1,272	582	1,920	214	335	1,272	15	1,257	186	25,972	67,500	-6	873	0
15003005300	3,949	2,077	1,872	470	43	0	2,155	619	0	662	144	944	3,925	1,471	813	2,670	372	424	1,471	94	1,377	56	42,268	48,207	340,600	1,089	0
15003005400	1,745	923	822	10	3	0	266	1,226	0	240	161	247	1,724	423	384	814	160	205	423	0	423	39	35,916	36,163	-6	722	0
15003005500	2,057	987	1,070	48	0	3	1,604	160	2	240	159	370	2,047	561	411	1,483	215	246	561	227	334	67	63,239	64,489	561,000	1,281	0
15003005601	1,726	778	948	34	0	0	1,391	184	0	117	78	845	1,693	735	326	1,392	283	85	735	57	678	0	14,045	-6	982,100	308	1
15003005602	4,301	2,179	2,122	90	38	0	3,534	174	0	465	201	611	4,286	1,107	833	3,043	514	359	1,107	540	567	25	62,148	74,625	789,400	1,628	1
15003005700	2,788	1,337	1,451	401	37	6	1,301	716	2	325	201	582	2,122	998	558	2,271	410	359	998	158	840	63	45,288	62,289	570,500	1,050	0
15003005800	3,244	1,677	1,567	68	0	7	2,566	220	10	373	272	573	3,244	1,129	874	2,317	299	327	1,129	526	603	0	57,936	70,042	330,800	968	0
15003005900	3,449	2,549	900	270	66	18	1,585	479	32	999	533	324	1,716	583	477	2,751	1,114	149	583	63	520	81	65,087	64,375	685,300	1,261	0
15003006000	5,792	2,724	3,068	38	0	0	4,613	547	0	594	13	928	5,760	1,119	985	3,734	495	463	1,119	537	582	199	90,625	85,824	469,800	1,354	0
15003006100	3,813	1,987	1,826	74	4	0	3,126	70	4	535	419	682	3,738	724	669	2,664	364	443	724	305	419	47	116,827	115,048	771,600	1,748	0
15003006202	2,209	937	1,272	89	8	0	451	1,285	9	367	66	172	2,190	556	392	1,017	146	242	556	55	501	48	32,500	31,538	948,500	800	1
15003006203	4,893	2,298	2,595	107	4	0	2,857	813	7	1,105	294	988	4,810	1,262	929	3,545	742	652	1,262	568	694	94	67,759	71,992	583,300	1,132	0
15003006301	3,824	1,987	1,837	138	0	0	2,563	368	97	658	151	829	3,769	813	700	2,875	543	375	813	580	233	22	98,036	100,517	758,000	1,077	0
15003006302	3,251	1,541	1,710	56	0	0	875	1,756	0	564	79	446	3,163	619	559	1,725	294	440	619	118	501	45	46,299	46,314	764,700	655	1
15003006401	2,191	1,060	1,131	24	0	0	1,700	127	0	340	270	291	2,147	398	368	1,454	174	172	398	242	156	30	99,500	106,818	841,100	1,321	0
15003006402	6,335	3,341	2,994	216	2	0	4,585	563	25	944	427	1,228	6,189	1,425	1,144	4,972	860	768	1,425	1,101	324	150	117,031	104,537	789,100	2,022	0
15003006500	5,046	2,679	2,367	305	42	0	3,173	342	0	1,184	1,007	960	5,013	1,185	878	3,609	507	548	1,185	912	273	21	120,383	135,238	725,900	1,761	0
15003006703	1,695	817	878	576	21	0	678	91	136	193	191	312	1,513	411	339	1,014	168	138	411	212	199	28	95,368	85,139	889,500	2,849	1
15003006704	6,686	3,421	3,265	795	302	0	3,311	571	28	1,679	512	1,484	6,639	2,280	1,644	4,640	586	683	2,280	1,194	1,086	202	89,323	109,717	913,100	2,215	0
15003006806	1,654	855	799	59	0	0	1,408	7	0	180	72	657	1,630	529	427	1,367	163	201	529	506	23	32	126,641	146,146	895,800	-6	0
15003006810	3,987	2,074	1,913	2,049	716	32	150	47	220	773	1,111	46	3,987	1,076	1,063	1,955	68	160	1,076	0	1,076	39	68,971	69,208	-6	3,272	0
15003006811	1,948	1,091	857	616	529	0	97	153	64	489	445	0	1,948	482	482	798	12	79	482	44	438	8	71,691	71,691	-6	3,278	0
15003006812	1,205	622	583	212	0	0	882	0	0	111	0	477	1,196	572	405	1,021	125	99	572	419	153	63	90,455	127,864	430,800	1,084	0
15003006813	5,387	2,601	2,786	541	126	41	3,460	206	89	924	325	948	5,319	1,973	1,352	3,878	263	363	1,973	1,308	665	161	105,486	135,221	646,200	1,744	0
15003006814	2,934	1,436	1,498	264	81	0	1,557	110	11	911	270	490	2,934	925	664	2,063	264	340	925	508	417	48	88,087	89,291	378,800	1,692	0
15003006815	2,888	1,305	1,583	263	13	41	1,420	236	17	898	49	376	2,888	1,143	777	2,017	161	205	1,143	483	660	87	50,458	52,375	346,000	1,674	0
15003006816	2,100	1,067	1,033	146	0	0	1,440	56	0	458	67	385	2,045	528	400	1,449	103	133	528	488	40	32	86,855	113,316	775,300	1,725	0
15003006817	4,944	2,626	2,318	185	12	0	3,523	562	0	662	172	991	4,799	874	819	3,708	425	438	874	715	159	21	129,274	122,404	800,900	1,520	0
15003006818	1,930	943	987	195	265	0	826	219	0	425	108	323	1,930	816	520	1,313	80	144	816	344	472	52	70,227	79,286	398,900	1,676	0
15003006819	2,902	1,499	1,403	262	47	0	1,735	81	135	642	353	502	2,902	1,233	622	1,998	168	145	1,233	630	603	76	59,805	59,583	364,100	1,474	0
15003006900	4,091	2,098	1,993	2,248	619	30	398	16	138	642	818	69	4,091	1,089	1,050	2,022	187	97	1,089	0	1,089	76	82,188	85,407	-6	3,210	0
15003007001	1,868	1,001	867	931	289	0	88	0	158	402	527	0	1,868	879	690	1,263	143	86	879	0	879	24	61,293	61,479	-6	2,756	0
15003007002	2,708	1,498	1,210	1,337	118	0	460	181	199	413	347	0	2,708	977	870	1,434	280	73	977	0	977	50	60,649	61,415	-6	2,889	0
15003007100	3,507	1,976	1,531	2,057	595	0	399	9	130	317	546	1	3,502	1,058	958	1,917	83	95	1,058	0	1,058	22	74,375	70,000	-6	3,251	0
15003007302	5,518	2,935	2,583	3,933	508	0	349	8	144	576	746	23	5,518	1,708	1,564	2,858	147	223	1,708	0	1,708	133	90,608	95,102	-6	3,250	0
15003007400	5,160	3,542	1,618	3,196	774	7	557	11	345	270	884	44	2,875	814	736	2,097	528	115	814	36	778	84	89,861	94,559	854,800	3,417	0
15003007504	3,293	1,572	1,721	168	109	0	917	1,380	29	690	313	415	3,288	855	636	1,968	442	400	855	249	606	17	59,607	72,000	682,800	1,069	0
15003007507	5,849	3,285	2,564	551	78	8	3,061	498	82	1,571	525	1,185	5,055	1,605	1,181	4,442	794	391	1,605	1,273	332	93	111,587	138,424	892,100	2,144	0
15003007508	6,954	3,424	3,530	1,906	277	21	2,725	204	299	1,522	693	1,281	6,797	2,090	1,482	4,920	750	528	2,090	1,177	913	162	93,704	98,684	765,200	2,484	0
15003007701	4,134	1,948	2,186	656	30	12	1,904	639	79	814	598	835	4,116	1,092	865	2,730	226	287	1,092	747	345	42	93,875	93,594	786,200	2,250	0
15003007702	5,596	2,761	2,835	722	64	0	2,800	186	16	1,808	665	1,090	5,546	1,704	1,283	4,137	490	415	1,704	1,441	263	143	131,063	144,770	874,800	2,170	0
15003007804	2,194	1,065	1,129	27	19	0	1,471	101	0	576	108	633	2,194	587	481	1,720	328	281	587	521	66	21	132,188	150,417	703,000	2,823	0
15003007807	5,340	2,776	2,564	947	148	23	3,077	37	52	1,056	398	580	5,340	2,623	1,212	3,934	616	437	2,623	1,154	1,469	139	69,834	82,923	399,700	1,735	0
15003007808	3,509	1,484	2,025	478	55	0	1,471	353	13	1,139	723	551	3,494	1,058	787	2,522	493	593	1,058	510	548	36	68,598	73,155	450,000	1,515	0
15003007809	3,239	1,521	1,718	394	50	0	2,152	14	22	607	103	1,084	3,239	1,223	943	2,666	148	185	1,223	1,028	195	0	134,760	158,125	851,100	2,348	0
15003007812	2,074	1,047	1,027	197	15	0	945	95	0	822	170	381	2,063	759	540	1,584	279	247	759	495	264	44	93,345	103,750	427,400	1,896	0
15003007813	2,928	1,458	1,470	224	15	0	1,361	108	64	1,156	199	475	2,900	843	711	2,181	348	290	843	712	131	8	116,289	121,397	463,400	1,843	0
15003007814	3,602	1,740	1,862	218	39	0	2,546	47	5	747	53	1,292	3,602	1,128	1,002	2,931	235	213	1,128	1,007	121	18	143,750	148,981	856,800	2,786	0
15003007815	2,294	1,208	1,086	241	18	0	1,288	167	2	578	181	431	2,286	736	576	1,564	93	71	736	560	176	29	132,050	138,056	730,900	3,217	0
15003007816	3,543	1,829	1,714	705	161	0	1,514	232	4	927	278	817	3,532	1,271	973	2,632	215	187	1,271	1,006	265	125	100,599	101,832	472,800	2,465	0
15003007817	1,322	596	726	131	0	0	805	77	22	287	53	452	1,322	455	369	1,065	69	160	455	423	32	44	124,297	161,607	766,300	3,250	0
15003008001	2,566	1,166	1,400	212	21	0	1,388	226	5	714	337	692	2,473	857	512	1,851	287	332	857	243	614	42	50,694	65,962	594,800	1,040	0
15003008002	3,002	1,597	1,405	235	56	0	1,848	252	33	578	281	781	2,843	729	586	2,204	294	234	729	593	136	27	101,328	112,586	685,700	1,721	0
15003008005	6,178	3,194	2,984	917	9	0	2,602	373	36	2,241	441	1,653	6,166	1,982	1,529	4,747	795	858	1,982	1,770	212	104	105,533	110,865	678,200	2,400	0
15003008008	1,604	841	763	532	70	0	256	239	193	314	611	153	1,593	446	385	902	185	96	446	94	352	54	80,403	81,169	750,000	3,064	0
15003008009	2,723	1,222	1,501	598	27	0	1,279	154	10	655	389	416	2,712	1,188	498	1,945	217	359	1,188	530	658	75	59,643	91,600	343,500	1,158	0
15003008010	2,221	960	1,261	124	19	0	1,486	116	30	446	47	644	2,176	643	564	1,582	224	199	643	605	38	22	101,518	108,409	714,300	-6	0
15003008011	2,440	1,112	1,328	57	11	0	1,456	542	0	374	100	1,024	2,392	760	547	1,923	149	179	760	615	145	0	90,707	124,375	746,900	1,303	1
15003008012	2,743	1,465	1,278	94	0	0	1,923	94	41	591	141	930	2,711	791	607	2,117	396	381	791	609	182	0	110,781	116,514	719,800	2,231	0
15003008013	2,083	936	1,147	77	0	0	1,484	62	35	425	208	803	2,073	659	591	1,609	181	187	659	629	30	13	123,125	127,813	723,500	2,357	0
15003008301	4,968	2,405	2,563	2,356	384	0	502	523	236	967	951	169	4,968	1,257	1,036	2,580	90	229	1,257	0	1,257	214	97,921	97,736	-6	2,912	0
15003008302	5,978	2,965	3,013	285	0	0	3,562	687	14	1,430	775	906	5,897	1,233	1,051	4,124	888	674	1,233	990	243	62	90,688	96,614	515,700	1,997	0
15003008405	4,902	2,486	2,416	488	440	0	2,365	256	51	1,302	382	340	4,902	1,255	1,076	3,458	658	380	1,255	919	336	64	109,922	114,667	626,200	2,532	0
15003008407	4,487	2,206	2,281	912	322	0	1,459	340	61	1,393	798	295	4,487	1,136	1,001	2,641	250	163	1,136	836	300	9	119,741	118,092	633,200	2,842	0
15003008408	9,141	4,747	4,394	3,191	506	76	3,112	157	53	2,046	874	757	9,141	2,949	2,589	6,003	287	384	2,949	2,311	638	41	116,250	120,458	703,100	3,115	0
15003008410	5,211	2,646	2,565	690	130	35	2,711	208	74	1,363	611	402	5,211	1,497	1,309	3,469	476	317	1,497	1,375	122	149	129,564	127,820	641,800	3,182	0
15003008411	3,698	1,843	1,855	362	107	0	1,637	76	196	1,320	568	277	3,698	1,208	819	2,493	437	231	1,208	687	521	24	101,786	106,250	510,800	1,731	0
15003008413	2,810	1,492	1,318	147	5	0	1,718	557	0	383	184	620	2,730	622	586	2,026	383	192	622	583	39	24	122,500	116,563	584,700	1,232	0
15003008414	2,493	1,122	1,371	546	204	0	981	229	20	513	170	201	2,493	710	625	1,507	94	66	710	546	164	0	152,000	152,050	769,600	3,501	0
15003008415	4,374	2,121	2,253	605	235	0	1,521	203	170	1,640	810	257	4,374	1,083	884	2,636	472	472	1,083	859	224	8	128,661	141,336	645,400	3,397	0
15003008416	3,446	1,540	1,906	326	51	0	1,753	320	0	996	409	263	3,446	770	597	2,106	504	347	770	557	213	0	106,364	107,031	530,900	2,016	0
15003008417	4,294	2,425	1,869	671	75	0	1,577	223	165	1,583	753	463	4,294	1,450	1,181	3,150	660	567	1,450	904	546	15	92,115	82,734	395,900	1,654	0
15003008418	5,015	2,502	2,513	602	0	0	2,214	588	36	1,575	1,080	715	4,981	1,184	980	3,645	774	453	1,184	808	376	218	96,467	100,763	641,500	1,880	0
15003008502	2,421	1,397	1,024	400	269	25	354	601	39	733	273	239	1,744	664	347	1,630	262	240	664	0	664	158	61,579	93,713	-6	2,506	0
15003008609	1,966	994	972	562	20	0	506	407	15	456	262	368	1,950	646	479	1,449	295	276	646	360	286	200	96,827	81,359	608,700	2,107	0
15003008610	1,010	473	537	664	6	0	190	26	0	124	125	263	1,010	440	367	806	26	45	440	305	135	591	103,654	103,173	723,000	3,313	0
15003008611	26	8	18	0	0	0	8	0	0	18	11	4	26	4	4	11	0	4	4	4	0	0	-6	-6	-6	-6	-6
15003008623	5,050	2,652	2,398	632	19	0	1,115	664	20	2,600	692	421	5,050	1,225	1,088	3,181	407	499	1,225	1,104	121	16	163,831	173,382	671,500	2,456	0
15003008624	3,303	1,549	1,754	425	12	0	1,691	114	8	1,053	658	484	3,288	790	642	2,197	253	337	790	635	155	0	119,265	129,167	627,700	2,036	0
15003008625	3,334	1,651	1,683	63	49	0	2,706	80	0	436	165	953	3,324	873	542	2,257	322	328	873	600	273	57	75,265	96,215	603,800	838	0
15003008626	3,283	1,491	1,792	61	0	17	1,926	138	1	1,140	130	524	3,278	988	770	1,742	284	396	988	528	460	0	42,744	74,200	604,200	963	0
15003008627	6,197	2,920	3,277	1,528	679	1	1,712	113	2	2,162	766	452	6,156	1,662	1,488	3,554	290	499	1,662	810	852	79	109,591	109,091	832,000	2,000	0
15003008628	3,824	1,919	1,905	648	0	0	1,538	583	27	1,028	419	462	3,824	1,069	850	2,438	406	266	1,069	836	233	53	103,015	99,878	616,600	1,449	0
15003008629	2,180	959	1,221	93	0	0	796	36	0	1,255	535	291	2,180	642	530	1,269	167	197	642	434	208	83	81,250	83,378	588,600	1,276	0
15003008630	3,102	1,441	1,661	916	168	0	542	625	35	816	428	382	3,102	935	696	2,025	351	407	935	597	338	0	71,083	113,276	570,900	1,371	0
15003008631	3,019	1,364	1,655	991	212	17	1,104	169	0	526	546	398	3,019	1,131	824	2,251	166	305	1,131	846	285	7	112,837	128,243	693,000	2,250	0
15003008632	4,996	2,525	2,471	710	59	6	2,196	332	17	1,676	580	864	4,974	1,231	1,077	3,341	643	657	1,231	1,040	191	83	104,338	111,141	606,400	2,516	0
15003008633	2,784	1,356	1,428	625	146	0	474	439	0	1,100	134	199	2,784	912	706	1,715	212	437	912	807	105	0	105,700	119,310	509,900	1,762	0
15003008634	2,939	1,363	1,576	918	10	0	688	484	0	839	619	432	2,939	974	801	1,841	170	296	974	592	382	15	81,912	79,250	597,600	1,751	1
15003008702	4,921	2,356	2,565	275	42	13	3,643	291	9	648	356	1,098	4,808	1,512	946	3,532	553	573	1,512	610	902	74	53,875	68,929	383,700	1,133	0
15003008704	2,207	1,254	953	177	34	0	1,131	91	90	684	363	525	2,168	598	447	1,617	322	319	598	400	198	0	100,510	108,417	648,500	2,055	0
15003008705	3,533	1,805	1,728	118	2	0	822	1,851	10	730	300	182	3,473	838	731	1,831	434	290	838	100	738	56	48,938	49,266	225,700	1,319	0
15003008706	3,853	1,887	1,966	202	37	0	1,811	978	0	825	432	509	3,841	1,002	795	2,616	423	577	1,002	565	437	20	105,938	109,926	637,500	2,171	0
15003008707	5,970	3,083	2,887	203	11	0	5,098	134	7	517	201	1,320	5,742	1,228	1,056	4,387	907	829	1,228	804	424	81	93,456	94,180	662,400	1,177	0
15003008801	3,450	1,585	1,865	28	0	9	2,890	287	0	236	22	1,029	3,266	801	541	2,744	304	471	801	618	183	0	74,266	110,521	727,100	1,674	0
15003008802	4,873	2,109	2,764	228	0	0	3,744	197	20	684	356	1,173	4,551	937	882	3,624	569	643	937	788	149	42	110,689	110,816	660,400	1,161	0
15003008906	3,557	1,755	1,802	529	81	8	1,574	161	50	1,154	293	1,113	3,557	1,325	1,040	2,817	312	326	1,325	1,120	205	48	94,044	104,891	587,100	2,212	0
15003008909	3,879	2,074	1,805	475	168	0	1,699	55	14	1,468	586	1,044	3,879	1,292	1,069	3,131	445	470	1,292	1,086	206	0	103,864	110,368	618,900	1,852	0
15003008912	2,918	1,310	1,608	231	0	0	2,010	71	12	594	212	882	2,705	530	481	2,202	324	300	530	428	102	4	120,833	119,583	766,200	2,173	0
15003008913	4,080	1,953	2,127	197	29	0	3,224	96	0	534	282	1,041	3,956	721	635	2,976	565	724	721	644	77	40	118,542	114,940	680,100	1,605	0
15003008917	4,844	2,492	2,352	690	99	0	2,530	119	30	1,376	705	1,007	4,844	1,542	1,255	3,484	312	356	1,542	1,200	342	0	132,700	153,454	768,800	1,913	0
15003008918	5,470	2,969	2,501	932	157	0	2,568	494	81	1,238	424	897	5,470	1,709	1,282	3,900	413	312	1,709	1,381	328	70	113,770	123,716	662,600	1,994	0
15003008921	2,520	1,165	1,355	102	5	1	1,570	493	15	334	421	586	2,433	565	519	1,856	367	274	565	524	41	0	117,625	135,250	712,600	2,400	0
15003008926	1,736	831	905	808	75	0	308	123	88	334	373	105	1,736	719	546	1,154	111	121	719	410	309	60	82,917	97,841	497,900	2,206	0
15003008928	3,396	1,719	1,677	478	0	13	1,987	120	15	783	269	280	3,396	1,090	947	2,182	240	118	1,090	998	92	70	130,750	132,344	815,600	-6	0
15003008929	4,692	2,386	2,306	657	67	0	3,048	83	23	814	375	799	4,674	1,958	1,213	3,409	463	230	1,958	1,411	547	185	80,744	101,653	438,300	2,056	0
15003008930	2,127	1,087	1,040	235	27	22	1,432	21	22	368	117	404	2,127	767	659	1,635	86	76	767	663	104	43	137,813	150,139	837,900	3,501	0
15003008931	3,516	1,989	1,527	542	36	0	1,832	181	20	905	273	212	3,099	760	719	2,186	409	99	760	712	48	15	173,359	174,180	913,800	3,501	0
15003008932	2,061	1,028	1,033	235	24	0	1,201	77	0	524	174	641	2,061	700	545	1,550	105	156	700	636	64	34	105,156	132,610	682,700	2,397	0
15003008933	3,608	1,803	1,805	489	50	0	1,953	92	21	1,003	176	963	3,608	1,065	896	2,609	251	293	1,065	936	129	28	105,282	119,167	750,700	2,665	0
15003008934	3,668	1,875	1,793	290	16	21	1,914	621	37	769	431	363	3,668	1,002	902	2,524	473	324	1,002	893	109	0	131,618	130,735	662,000	3,236	0
15003008935	3,781	1,923	1,858	405	119	11	2,075	74	289	808	626	477	3,781	1,197	854	2,677	555	234	1,197	745	452	76	96,982	109,464	549,400	2,171	0
15003008936	3,048	1,467	1,581	88	36	0	1,924	430	0	570	150	650	3,048	799	676	2,117	336	268	799	661	138	22	108,750	117,500	596,300	2,579	0
15003008937	2,323	972	1,351	34	29	0	1,929	215	0	116	200	193	2,323	480	341	1,616	246	228	480	198	282	41	75,588	67,719	228,300	1,432	0
15003008938	3,742	1,885	1,857	136	23	13	1,117	1,794	0	659	503	406	3,593	646	617	2,241	652	587	646	168	478	21	66,250	53,566	482,900	2,000	0
15003008939	2,369	1,215	1,154	474	171	0	742	171	42	769	444	223	2,369	903	619	1,566	273	280	903	584	319	71	78,664	82,344	341,500	1,720	0
15003008940	3,187	1,827	1,360	220	0	0	1,459	289	0	1,219	315	532	3,187	872	663	2,323	399	382	872	771	101	35	86,125	101,354	613,700	1,505	0
15003008941	2,021	1,006	1,015	302	5	0	1,047	162	51	454	186	386	2,021	627	568	1,380	186	180	627	450	177	17	118,015	134,722	704,500	2,336	0
15003008942	2,019	933	1,086	186	70	0	627	95	26	1,015	453	312	2,019	674	513	1,349	190	172	674	310	364	18	64,500	75,924	660,900	1,231	0
15003008943	1,039	509	530	124	0	0	726	12	0	177	82	111	1,039	364	286	717	33	16	364	336	28	0	157,188	162,143	882,800	-6	0
15003008944	3,719	1,913	1,806	298	265	0	2,227	26	10	893	313	274	3,719	1,223	921	2,271	117	259	1,223	962	261	24	123,958	132,159	663,400	2,054	0
15003008945	1,605	720	885	143	89	0	640	261	6	466	66	207	1,605	569	439	959	171	119	569	251	318	43	73,958	89,375	565,300	2,092	0
15003008946	2,569	1,286	1,283	342	31	0	1,523	121	56	496	273	598	2,555	1,076	759	2,117	217	323	1,076	929	147	54	95,250	110,525	448,200	1,762	0
15003008947	1,568	697	871	161	9	0	918	65	69	346	228	289	1,568	624	428	1,275	142	144	624	422	202	39	86,818	81,429	557,500	2,022	0
15003008948	2,626	1,323	1,303	196	0	0	1,616	175	63	576	189	559	2,626	1,044	655	2,041	246	231	1,044	764	280	71	93,382	101,542	450,600	1,606	0
15003008949	1,949	798	1,151	195	34	0	1,044	0	73	603	217	302	1,949	712	494	1,460	163	251	712	544	168	27	117,905	122,000	666,100	2,463	0
15003008950	1,994	1,092	902	207	0	0	1,290	217	0	280	266	276	1,994	529	469	1,305	289	34	529	478	51	0	104,698	137,596	667,900	2,679	0
15003008951	1,366	732	634	234	41	0	915	39	0	137	43	295	1,366	539	462	1,242	63	179	539	539	0	18	114,798	128,333	634,700	-6	0
15003008952	5,297	2,612	2,685	1,147	85	0	2,514	367	0	1,184	471	788	5,297	2,051	1,478	4,198	480	291	2,051	1,456	595	86	97,008	116,064	493,500	2,302	0
15003009000	2,124	1,075	1,049	1,281	386	5	45	93	56	258	350	16	2,078	802	679	1,108	82	79	802	4	798	93	65,982	69,813	-6	2,635	0
15003009100	4,468	2,469	1,999	669	55	0	2,813	236	49	646	486	921	4,178	1,055	797	3,008	740	434	1,055	734	321	78	74,191	90,037	573,400	1,303	0
15003009201	3,159	1,570	1,589	588	34	0	1,237	375	77	848	828	556	3,154	1,059	813	2,158	236	175	1,059	705	354	0	103,110	99,440	583,200	1,744	0
15003009202	2,095	1,111	984	639	0	0	602	125	0	729	138	523	2,087	709	487	1,500	239	213	709	441	268	68	100,760	105,895	638,100	1,525	0
15003009203	1,980	1,020	960	151	21	0	924	167	0	717	230	444	1,980	711	630	1,507	316	328	711	482	229	16	80,697	82,115	536,100	1,813	0
15003009301	1,340	709	631	117	126	0	349	345	0	403	350	249	1,246	494	250	825	150	258	494	78	416	61	37,794	37,279	423,500	1,201	0
15003009302	3,240	1,624	1,616	374	71	0	1,675	218	57	845	473	999	3,224	1,125	742	2,585	329	393	1,125	654	471	0	84,063	116,224	589,600	902	0
15003009401	1,232	690	542	135	16	0	794	23	8	256	124	237	1,232	515	270	1,000	197	168	515	294	221	9	74,226	98,125	500,000	1,538	0
15003009402	3,396	1,676	1,720	312	58	0	1,105	824	4	1,093	326	409	3,361	1,197	806	2,101	389	310	1,197	253	944	235	50,759	67,866	493,600	1,348	0
15003009507	3,280	2,255	1,025	1,804	804	32	115	29	104	392	617	5	1,806	723	581	899	256	90	723	0	723	122	57,802	57,802	-6	2,381	0
15003009508	1,958	1,002	956	1,322	191	96	166	18	0	165	586	0	1,958	633	530	699	18	73	633	0	633	0	76,629	73,571	-6	2,507	0
15003009509	3,256	1,661	1,595	2,172	519	4	91	55	56	359	715	0	3,256	903	854	1,498	162	64	903	0	903	31	71,779	72,019	-6	3,071	0
15003009510	1,525	929	596	561	204	0	114	203	139	304	696	1	1,525	413	413	632	123	55	413	0	413	0	53,125	53,125	-6	2,889	0
15003009511	3,354	1,847	1,507	1,568	427	0	110	333	161	755	806	43	3,354	991	950	1,221	145	69	991	19	972	43	53,993	54,490	-6	2,896	0
15003009512	4,903	3,699	1,204	3,234	588	33	348	45	325	330	768	49	1,959	617	535	1,685	513	136	617	5	612	74	74,458	75,375	-6	3,145	0
15003009608	4,806	2,183	2,623	259	31	171	611	2,354	33	1,347	483	584	4,789	1,160	920	2,817	696	605	1,160	778	382	63	68,689	79,605	423,300	1,652	0
15003009609	5,870	2,736	3,134	723	518	0	725	1,674	276	1,954	1,423	323	5,347	1,360	1,154	3,252	542	392	1,360	1,049	311	78	92,672	103,702	528,600	2,276	0
15003009610	7,317	3,742	3,575	282	67	54	1,323	3,317	311	1,963	1,299	806	6,926	1,581	1,287	4,506	941	710	1,581	791	790	243	101,993	106,583	457,100	2,006	0
15003009704	3,391	1,735	1,656	336	61	2	395	1,182	11	1,404	296	450	2,985	701	616	2,069	452	430	701	565	136	54	97,159	101,071	519,200	1,506	0
15003009705	3,296	1,516	1,780	437	27	0	775	1,061	48	948	748	424	3,272	868	774	2,246	479	499	868	547	321	52	94,167	98,725	440,500	1,186	0
15003009706	3,604	1,765	1,839	126	2	0	213	1,606	5	1,652	669	467	3,596	724	656	2,110	601	567	724	661	63	12	89,583	89,071	360,400	2,645	0
15003009707	5,750	2,800	2,950	691	31	34	278	2,685	31	2,000	1,428	753	5,392	1,647	1,124	3,671	848	744	1,647	614	1,033	300	35,904	50,234	292,500	1,044	1
15003009801	2,706	1,366	1,340	859	83	0	248	668	104	744	592	431	2,702	1,072	516	1,860	268	319	1,072	587	485	502	63,250	58,810	231,000	1,319	0
15003009803	2,991	1,511	1,480	507	169	0	264	1,345	12	694	481	367	2,955	825	526	1,942	366	354	825	204	621	178	59,276	70,625	595,000	1,706	0
15003009804	3,709	1,582	2,127	357	110	0	406	1,415	3	1,418	493	524	3,570	829	597	1,865	492	575	829	298	531	154	48,750	72,350	414,400	1,657	0
15003009902	3,556	1,740	1,816	1,025	34	31	980	318	24	1,144	379	773	3,556	1,060	780	2,737	472	467	1,060	701	359	112	81,231	86,161	826,400	1,038	0
15003009905	3,023	1,444	1,579	893	0	0	895	249	94	892	559	693	3,018	982	709	2,253	372	448	982	581	401	140	81,250	82,868	720,800	1,358	0
15003009906	2,176	1,101	1,075	1,528	29	11	158	10	47	393	240	281	2,176	794	438	1,506	113	107	794	414	380	190	80,455	88,750	717,500	2,178	1
15003010000	4,297	2,282	2,015	2,291	444	38	329	75	101	1,019	1,065	397	4,146	1,511	980	2,336	299	269	1,511	277	1,234	206	71,638	74,500	984,200	2,361	0
15003010101	2,032	1,093	939	1,156	22	0	349	59	0	446	56	393	2,031	727	312	1,538	168	162	727	395	332	163	93,486	121,346	1,164,800	2,610	0
15003010102	2,148	1,175	973	1,694	0	0	300	63	0	91	0	606	2,134	671	532	1,624	197	255	671	473	198	194	117,863	119,919	1,141,400	1,784	0
15003010103	2,622	1,252	1,370	486	50	6	397	800	0	883	181	347	2,602	723	576	1,566	276	269	723	487	236	452	82,269	85,625	603,300	1,425	0
15003010202	7,640	3,750	3,890	2,443	32	29	970	2,017	76	2,073	457	427	5,502	1,233	969	3,374	410	262	1,233	502	731	286	99,974	109,485	889,100	1,986	0
15003010203	1,113	610	503	330	33	0	134	259	16	341	166	183	1,069	397	218	813	120	132	397	154	243	202	79,125	103,393	608,700	1,483	0
15003010204	2,454	1,343	1,111	657	0	0	185	846	0	766	271	339	2,448	598	471	1,403	299	204	598	357	241	196	96,111	100,547	681,000	2,250	0
15003010205	1,868	1,013	855	693	0	0	123	154	5	893	263	158	1,868	557	408	1,284	150	144	557	355	202	93	101,908	114,474	782,200	1,708	0
15003010303	3,670	1,822	1,848	828	1	0	1,006	323	29	1,483	544	945	3,664	1,231	850	2,659	423	369	1,231	871	360	130	107,656	120,588	913,900	1,246	0
15003010305	5,500	2,873	2,627	1,242	8	14	1,365	727	49	2,095	630	951	5,427	1,418	1,185	3,585	714	467	1,418	1,111	307	97	118,929	124,063	852,500	1,795	0
15003010308	3,513	1,714	1,799	202	0	7	2,251	120	15	918	21	866	3,449	1,086	980	2,842	387	426	1,086	957	129	0	140,424	140,975	841,400	2,893	0
15003010309	3,763	1,745	2,018	846	0	90	1,472	288	0	1,067	223	965	3,763	1,267	1,093	2,690	273	195	1,267	1,155	112	0	119,438	140,179	817,800	1,983	0
15003010310	2,444	1,235	1,209	486	0	11	634	393	11	909	412	342	2,444	868	631	1,769	266	188	868	688	180	0	117,162	132,125	583,300	2,681	0
15003010503	1,703	872	831	241	10	2	664	144	12	630	141	390	1,590	476	385	1,196	290	190	476	227	249	42	90,000	89,250	815,600	1,488	0
15003010505	2,937	1,379	1,558	696	0	0	1,194	185	0	862	80	919	2,925	1,018	848	2,605	316	354	1,018	933	85	56	125,417	144,048	891,900	-6	0
15003010507	5,303	2,590	2,713	678	0	6	1,667	987	0	1,965	1,100	514	5,303	1,579	1,155	3,514	540	450	1,579	1,021	558	39	100,521	108,328	606,000	1,996	0
15003010508	2,335	1,201	1,134	1,175	41	23	473	183	0	440	233	420	2,307	987	568	1,790	201	191	987	618	369	119	109,720	117,071	628,200	2,829	0
15003010509	1,207	565	642	72	0	0	353	193	4	585	104	302	1,159	458	304	929	216	107	458	223	235	43	46,591	66,875	838,700	934	1
15003010510	3,169	1,516	1,653	530	0	9	1,306	310	0	1,014	116	713	2,941	904	662	2,378	460	342	904	822	82	60	124,500	145,313	822,000	2,723	0
15003010601	3,213	1,474	1,739	495	10	13	1,253	68	0	1,374	226	679	3,162	989	766	2,355	389	332	989	637	352	78	103,576	106,912	823,600	1,293	0
15003010602	5,293	2,761	2,532	844	10	0	2,224	407	30	1,778	217	1,397	5,140	1,594	1,335	4,117	589	719	1,594	1,355	239	77	128,984	133,535	836,600	1,671	0
15003010701	3,928	1,915	2,013	1,824	44	0	818	177	37	1,028	491	730	3,871	1,198	894	2,785	193	284	1,198	842	356	48	144,063	147,500	988,600	2,701	0
15003010702	3,876	1,896	1,980	592	0	12	1,840	160	37	1,235	383	1,249	3,760	1,107	765	2,980	439	552	1,107	852	255	65	106,273	137,679	812,200	2,318	0
15003010901	2,967	1,464	1,503	1,344	12	0	457	136	70	948	288	512	2,959	880	709	2,071	124	189	880	739	141	0	148,438	158,380	1,141,200	3,501	0
15003010903	3,765	1,873	1,892	1,426	35	33	678	397	30	1,166	372	626	3,739	1,348	920	2,527	242	341	1,348	739	609	41	79,100	90,167	830,300	1,699	0
15003010904	3,640	1,716	1,924	2,001	24	0	474	36	21	1,084	305	604	3,635	1,039	841	2,401	248	333	1,039	735	304	28	113,125	157,721	1,047,500	3,301	0
15003010905	2,440	1,286	1,154	1,011	10	0	593	205	0	621	245	550	2,416	862	492	1,826	327	210	862	489	373	62	77,813	95,625	873,800	1,827	0
15003011000	3,682	1,766	1,916	1,371	43	33	885	162	46	1,142	215	898	3,377	1,106	905	2,653	187	120	1,106	976	130	14	141,364	172,109	1,063,000	2,936	0
15003011103	3,922	1,640	2,282	1,289	87	10	1,380	184	29	943	128	847	3,447	1,185	984	3,032	184	339	1,185	1,043	142	14	136,455	137,295	904,100	2,830	0
15003011104	4,951	2,371	2,580	1,437	7	18	1,530	192	66	1,701	529	912	4,930	1,514	1,243	3,467	383	392	1,514	1,218	296	59	129,167	147,656	926,700	3,138	0
15003011105	3,320	1,711	1,609	1,916	32	0	332	41	114	885	503	506	3,320	1,352	879	2,680	192	273	1,352	870	482	168	118,564	140,380	721,400	2,475	0
15003011106	6,051	2,904	3,147	2,521	104	0	999	342	16	2,069	355	1,109	6,027	1,721	1,465	4,117	489	501	1,721	1,428	293	115	135,893	139,940	984,700	1,965	0
15003011201	4,176	2,077	2,099	2,711	4	0	485	136	176	664	399	944	4,134	1,488	935	3,083	196	192	1,488	1,171	317	256	132,448	159,766	1,789,300	3,260	0
15003011202	1,615	703	912	807	18	0	202	79	10	499	103	349	1,615	575	419	1,261	122	74	575	457	118	162	131,458	144,844	2,000,001	2,250	0
15003011300	5,599	2,937	2,662	462	0	0	1,211	1,533	51	2,342	683	835	5,589	1,122	994	3,311	800	724	1,122	842	280	139	109,620	110,417	635,900	1,327	0
15003011401	2,006	956	1,050	996	276	23	82	138	252	239	618	12	2,006	841	577	1,104	54	104	841	0	841	23	65,875	77,180	-6	2,612	0
15003011500	10,487	4,891	5,596	1,510	406	0	2,994	1,693	117	3,767	1,260	729	10,399	3,154	2,582	6,139	830	584	3,154	2,031	1,123	38	110,192	114,659	555,300	2,233	0
15003011600	1,978	964	1,014	494	0	6	885	137	7	449	121	626	1,954	758	552	1,591	128	127	758	634	124	71	117,763	141,136	1,099,700	1,955	0
15003940003	1,926	873	1,053	253	14	2	136	788	5	728	165	427	1,926	526	443	1,424	257	270	526	428	98	70	101,250	112,656	870,100	1,836	0
15003940004	2,354	1,274	1,080	75	3	3	50	1,043	6	1,174	246	430	2,354	518	416	1,544	407	334	518	417	101	7	94,643	106,154	470,700	681	0
15003940005	2,455	1,267	1,188	63	6	0	103	1,485	4	794	311	292	2,455	508	483	1,515	457	404	508	490	18	10	117,917	98,052	378,900	-6	0
15003940006	2,447	1,100	1,347	51	4	0	29	1,486	0	877	270	340	2,447	565	491	1,519	409	424	565	470	95	25	72,431	81,397	352,200	397	0
15003940007	2,098	1,057	1,041	31	38	5	70	1,062	0	892	400	155	2,098	476	353	1,202	425	401	476	97	379	67	40,625	-6	241,700	1,747	0
15003980000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	-6	-6	-6	-6	-6
15003980200	537	465	72	113	12	13	165	59	0	175	48	26	0	0	0	537	222	47	0	0	0	0	-6	-6	-6	-6	-6
15003980300	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	-6	-6	-6	-6	-6
15003980600	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	-6	-6	-6	-6	-6
15003980700	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	-6	-6	-6	-6	-6
15003980800	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	-6	-6	-6	-6	-6
15003981000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	-6	-6	-6	-6	-6
15003981100	30	30	0	30	0	0	0	0	0	0	7	0	0	0	0	1	0	0	0	0	0	0	-6	-6	-6	-6	-6
15003981200	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	-6	-6	-6	-6	-6
15003981300	95	36	59	95	0	0	0	0	0	0	0	0	95	19	19	35	0	0	19	0	19	0	-6	-6	-6	-6	-6
15003981400	4	0	4	4	0	0	0	0	0	0	0	0	4	4	0	4	0	0	4	4	0	7	-6	-6	-6	-6	-6
15003981700	3,490	2,417	1,073	2,608	339	43	111	13	208	168	673	0	2,107	786	686	1,287	512	188	786	0	786	52	46,526	46,788	-6	2,778	0
15003981801	3,171	1,531	1,640	1,939	281	0	149	0	109	693	927	0	3,171	1,041	1,020	1,705	310	0	1,041	19	1,022	70	81,640	81,981	-6	3,193	0
15003981802	1,522	781	741	1,327	0	0	76	0	109	10	461	0	1,522	471	471	814	30	51	471	0	471	5	114,675	114,675	-6	3,501	0
15003981803	3,054	2,552	502	2,186	313	47	64	55	248	141	585	0	916	392	361	562	128	42	392	0	392	85	38,821	38,561	-6	2,706	0
15003981900	438	358	80	313	40	10	23	0	52	0	91	0	0	0	0	78	48	0	0	0	0	0	-6	-6	-6	-6	-6
15003982000	1,161	632	529	698	134	9	52	0	71	197	194	4	921	244	239	608	121	51	244	0	244	60	98,500	99,750	-6	3,398	0
15003982100	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	-6	-6	-6	-6	-6
15003982200	1,262	1,242	20	842	254	9	51	0	38	68	207	0	0	0	0	139	86	0	0	0	0	0	-6	-6	-6	-6	-6
15003990001	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	-6	-6	-6	-6	-6

Thematic Pattern & Reference Maps for Honolulu County, HI & 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 15003 .. 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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