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  Situation & Outlook Report
  Sedgwick County, KS  
  .. an information resource developed by ProximityOne .. more about these resources
  .. created 10/24/22

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

Metro Counties and Population Change; 2010-2030
Sedgwick County, KS is part of the Wichita, KS metro/CBSA (48620).
The following table shows Metro component county population & population change:
Area NamePop
2010
Pop
2020
Pop
2021
Pop
2022
Pop
2030
Chg
2010-20
%Chg
2010-20
Chg
2020-30
%Chg
2020-30
  Butler County, KS65,90167,40167,88968,17270,4321,5002.33,0314.5
  Harvey County, KS34,74033,94233,81733,59231,788-798-2.3-2,155-6.3
  Sedgwick County, KS499,138524,246523,828524,409529,05325,1085.04,8070.9
  Sumner County, KS24,11922,33222,38522,31121,715-1,787-7.4-618-2.8

Residential Construction. August 2022 new authorized residential construction was 178 total units with total value of $60,961,094. Updated monthly. See details in Section 2.4.1. below.

Housing Units. During the period 2010 to 2020, the number of housing units changed from 211,920 (2010) to 223,763 (2020), a change of 11,843 (5.6%). See details on occupied/vacant units, tenure, value, rent and related in Section 2.4.2. below.

Population & Components of Change. During the period 2010 to 2020, the population of Sedgwick County, KS changed from 499,138 (2010) to 519,907 (2020), a change of 20,769 (4.2%).

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

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

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

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

Wichita city .. the largest city in Sedgwick County, KS. The 7/1/20 model-based population estimate of Wichita city was 397,070 compared to the 7/1/21 model-based population estimate of 397,117, a change of 47 or 0.0%. See more about Wichita city. See details about other cities in Section 1.2. below.

Topics
  00 How Income & Poverty are Changing
  01 Personal Income & Gross Domestic Product
  02 How & Why Demographics are Changing
  03 Census 2010, 2020 & Change 2010-2020
  1.1 Population & Components of Change
  1.2 City/Place Demographic-Economic Characteristics
  1.3 Migration/Mobility -- Movers from 1 Year Ago
  2.1 General Demographics -- detailed characteristics
  2.2 Social Characteristics
  2.3 Economic Characteristics
  2.4 Housing Situation
  2.4.1 New Authorized Residential Construction (monthly)
  2.4.2 Housing Characteristics
  3.1 Industry by Sector Characteristics (quarterly/annual)
  4.1 Census Tract Demographic-Economic Characteristics

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

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

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

Income & Poverty: 2010-2020
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.

Sedgwick County
YearMed HH IncAges 0-17
in Poverty
Ages 0-17
Poverty Rate
Ages 0-17
Universe
Ages 5-17
in Families
in Poverty
Ages 5-17
in Families
Poverty Rate
Ages 5-17
in Families
Universe
All Ages
in Poverty
All Ages
Poverty Rate
All Ages
Universe
2010$45,99627,16720.4133,27616,49017.594,06075,26615.3491,641
2011$49,52628,36121.3132,87117,58018.893,75675,06515.2493,205
2012$47,64930,67423.1133,02619,93721.293,85781,45416.4496,103
2013$48,67129,27322.1132,68218,12519.394,15179,78016.0497,913
2014$51,17525,79519.4132,81817,79718.994,33873,53214.7501,234
2015$50,99527,52820.7132,92418,02418.995,14376,89815.2504,346
2016$52,61223,55617.8131,99416,06416.895,38875,33414.9504,645
2017$54,17623,23917.8130,67315,81316.794,42772,01514.2505,764
2018$56,38122,11117.1129,45214,59915.594,25667,72213.4505,550
2019$60,01421,27916.5128,71414,50115.494,25364,06112.6508,048
2020$59,78922,20817.3128,54114,87715.794,74068,63713.4511,645

Kansas
YearMed HH IncAges 0-17
in Poverty
Ages 0-17
Poverty Rate
Ages 0-17
Universe
Ages 5-17
in Families
in Poverty
Ages 5-17
in Families
Poverty Rate
Ages 5-17
in Families
Universe
All Ages
in Poverty
All Ages
Poverty Rate
All Ages
Universe
2010$47,888129,00918.1714,39781,07715.9508,829374,67713.52,775,358
2011$48,844133,47818.8710,72282,31116.2507,925383,85913.82,786,839
2012$50,140135,26119.0711,81387,59417.2508,674392,09514.02,802,171
2013$50,892131,25118.4713,20984,32516.5512,053391,71813.92,811,674
2014$52,392125,56217.6711,44583,87316.4510,605381,50613.52,821,429
2015$53,802119,99416.9710,10478,19215.3512,077366,06912.92,830,955
2016$54,828100,99614.3704,94167,81013.2511,928343,77312.22,825,887
2017$56,382102,85814.7699,23567,87313.4506,188335,37111.92,827,374
2018$58,150102,61614.8691,75868,15313.5503,752336,89211.92,825,674
2019$62,02897,92014.3686,04264,61312.9502,274319,93111.32,826,822
2020$63,21488,49113.0680,85059,79211.9500,943300,93110.62,827,805

United States
YearMed HH IncAges 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$50,04615,749,12921.673,024,57710,484,51319.852,872,73546,215,95615.3301,535,021
2011$50,50216,386,50022.572,802,77310,976,98720.852,708,79948,452,03515.9303,778,193
2012$51,37116,396,86322.672,605,43611,086,53721.052,675,86348,760,12315.9306,086,063
2013$52,25016,086,96022.272,382,17310,958,23220.852,605,98748,810,86815.8308,196,783
2014$53,65715,686,01221.772,386,48510,714,51820.452,594,79948,208,38715.5310,899,910
2015$55,77515,000,27320.772,454,78610,245,02819.552,635,67946,153,07714.7313,476,400
2016$57,61714,115,71319.572,452,6039,648,48618.352,644,64844,268,99614.0315,165,470
2017$60,33613,353,20218.472,452,9259,120,50317.352,669,20142,583,65113.4317,741,588
2018$61,93712,997,53218.072,163,2698,930,15217.052,529,91941,852,31513.1319,184,033
2019$65,71212,000,47016.871,633,4538,258,90615.852,324,73339,490,09612.3320,118,791
2020$67,34011,204,42315.771,388,9577,798,56614.952,357,36438,371,39411.9321,478,113

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

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

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

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

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

View a thematic map of this area, patterns of economic prosperity by census tract, using the Visual Data Analytics (VDA) Web GIS
  -- see below.

03. Census 2010, Census 2020 & Change 2010-2020 .. goto topics
Sedgwick County, KS .. Census 2010, Census 2020 and Change 2010-2020
.. using Census 2020 P.L. 94-171 data (released 8/12/21)
.. use this Interactive Table to view/rank/compare counties 2010-2020.
.. use the VDA Web GIS to access/map these data to the census block level.
Subject Matter Item 2010 2010% 2020 2020% 2010-20 Change2010-20% Change
Total population 498,365 100.0 523,824 100.0 25,459 5.1
  One race 478,487 96.0 466,162 89.0 -12,325 -2.6
    White alone 380,482 76.3 357,757 68.3 -22,725 -6.0
    Black alone 46,167 9.3 46,531 8.9 364 0.8
    American India/Alaskan Native alone 5,739 1.2 6,581 1.3 842 14.7
    Asian alone 20,385 4.1 22,511 4.3 2,126 10.4
    Native Hawaiian and Other Pacific Islander alone 412 0.1 575 0.1 163 39.6
    Other race 25,302 5.1 32,207 6.1 6,905 27.3
  Two or more races 19,878 4.0 57,662 11.0 37,784 190.1
  White, Non-Hispanic 348,434 69.9 336,271 64.2 -12,163 -3.5
  Black Non-Hispanic 44,931 9.0 45,076 8.6 145 0.3
  Hispanic (of any race) 64,636 13.0 82,630 15.8 17,994 27.8
Total population, 18 years or older 362,989 72.8 392,877 75.0 29,888 8.2
  One race 354,562 71.1 358,422 68.4 3,860 1.1
    White alone 288,253 57.8 280,732 53.6 -7,521 -2.6
    Black alone 31,593 6.3 33,239 6.3 1,646 5.2
    American India/Alaskan Native alone 4,025 0.8 4,817 0.9 792 19.7
    Asian alone 15,023 3.0 17,655 3.4 2,632 17.5
    Native Hawaiian and Other Pacific Islander alone 292 0.1 419 0.1 127 43.5
    Other race 15,376 3.1 21,560 4.1 6,184 40.2
  Two or more races 8,427 1.7 34,455 6.6 26,028 308.9
  White, Non-Hispanic 269,799 54.1 268,219 51.2 -1,580 -0.6
  Black Non-Hispanic 31,063 6.2 32,575 6.2 1,512 4.9
  Hispanic (of any race) 36,920 7.4 51,217 9.8 14,297 38.7
Group Quarters population 7,252 1.5 11,084 2.1 3,832 52.8
  Group Quarters, institutionalized population 4,051 0.8 5,160 1.0 1,109 27.4
  Group Quarters, noninstitutionalized population 3,201 0.6 5,924 1.1 2,723 85.1
Housing Units 211,593 100.0 223,640 100.0 12,047 5.7
  Occupied 193,502 91.5 205,247 91.8 11,745 6.1
  Vacant 18,091 8.5 18,393 8.2 302 1.7


1.1 Population & Components of Change .. goto topics
Based on Census Bureau model-based population estimates, the Sedgwick County, KS population changed from 499,138 in 2010 to 519,907 in 2020, a change of 20,769 (4.2%).
Population/Component 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Population 499,138 501,051 504,171 506,542 509,084 511,230 513,324 513,392 513,877 516,579 519,907
Births 2,024 7,969 7,740 7,802 7,454 7,259 7,358 7,093 6,796 6,740 6,669
Deaths 1,023 4,057 4,003 4,149 4,176 4,485 4,474 4,500 4,626 4,555 4,863
Natural Increase 1,001 3,912 3,737 3,653 3,278 2,774 2,884 2,593 2,170 2,185 1,806
Net Migration -191 -2,003 -552 -1,259 -687 -596 -775 -2,515 -1,685 503 1,490
    International 136 858 1,077 1,050 1,144 1,529 1,247 360 714 518 415
    Domestic 415 -327 -2,861 -1,629 -2,309 -1,831 -2,125 -2,022 -2,875 -2,399 -15
Group Quarters 7,252 7,292 7,303 7,297 7,297 7,287 7,262 7,246 7,240 7,237 7,238

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

1.2 City/Place Demographic-Economic Characteristics .. goto topics
City/Place 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Andale city 2001775 934 950 965 969 985 997 1,000 997 988 987  
Bel Aire city 2005337 6,779 6,798 6,831 6,906 7,264 7,401 7,646 7,903 8,070 8,300  
Bentley city 2006125 530 530 532 530 530 530 526 522 518 517  
Cheney city 2012775 2,101 2,111 2,128 2,144 2,157 2,159 2,173 2,166 2,170 2,167  
Clearwater city 2013925 2,490 2,490 2,496 2,530 2,533 2,536 2,526 2,522 2,543 2,552  
Colwich city 2015100 1,330 1,330 1,334 1,343 1,360 1,374 1,401 1,402 1,409 1,467  
Derby city 2017800 22,524 22,732 22,998 23,113 23,277 23,441 23,635 23,651 24,708 24,943  
Eastborough city 2019300 760 758 758 758 756 754 749 744 735 732  
Garden Plain city 2025375 849 857 862 868 882 900 901 895 900 909  
Goddard city 2026725 4,417 4,486 4,540 4,591 4,698 4,723 4,732 4,748 4,727 4,796  
Haysville city 2031125 10,840 10,884 10,957 11,021 11,108 11,192 11,258 11,268 11,266 11,338  
Kechi city 2036225 1,917 1,946 1,964 1,968 1,992 1,999 2,005 2,000 1,996 2,005  
Maize city 2044200 3,479 3,591 3,713 3,841 4,083 4,366 4,452 4,539 4,649 4,934  
Viola city 2074025 130 130 132 131 131 131 130 129 128 128  
Mulvane city (part) 2049100 5,154 5,160 5,275 5,296 5,300 5,315 5,334 5,379 5,432 5,491  
Park City city 2054450 7,347 7,395 7,455 7,545 7,572 7,632 7,680 7,699 7,703 7,764  
Sedgwick city (part) 2063800 192 194 195 195 197 195 196 193 193 195  
Wichita city 2079000 382,745 383,773 385,751 387,210 388,416 389,412 390,519 390,277 389,231 389,938  
Balance of Sedgwick County 2099990 36,973 37,169 37,439 37,655 37,868 38,015 38,085 38,050 38,015 38,753  
Valley Center city 2073250 6,824 6,910 6,958 7,010 7,043 7,197 7,332 7,288 7,303 7,325  
Mount Hope city 2048900 813 817 818 818 816 814 812 804 800 801  
Andover city (part) 2001800 0 0 0 0 0 0 0 0 0 0  

Examine city/place population estimates and compare places in Sedgwick County, KS to other areas using this interactive table.
.. use the county code 20173 in the Find county below the table to view the county component city/places in the table.

1.3 Migration/Mobility -- Movers from 1 Year Ago .. goto topics
Based on ACS 2019, there were 651 mover partner areas for Sedgwick County, KS. There were a total inbound movers of 26223 and a total outbound movers of 24110, for a net movers of -300 (direct sums of columns shown below; nulls treated as zero). No county level data on the number of outbound movers to foreign locations are included in these mobility data. Detail file saved as c:\dede\movers_2019_20173.dbf.
Residence 1 Year Age Geocode Moved to 20173 Moved from 20173 Net Movers
Africa null 516 null null
Asia null 985 null null
Central America null 138 null null
Caribbean null 97 null null
Europe null 429 null null
Northern America null 38 null null
Oceania and At Sea null 71 null null
South America null 139 null null
Baldwin County, Alabama 01003 80 0 80
Geneva County, Alabama 01061 0 2 -2
Jefferson County, Alabama 01073 0 45 -45
Lauderdale County, Alabama 01077 30 0 30
Lee County, Alabama 01081 0 28 -28
Mobile County, Alabama 01097 35 0 35
Pickens County, Alabama 01107 0 8 -8
Washington County, Alabama 01129 0 18 -18
Winston County, Alabama 01133 0 3 -3
Anchorage Municipality, Alaska 02020 0 80 -80
Fairbanks North Star Borough, Alaska 02090 0 34 -34
Wrangell City and Borough, Alaska 02275 0 1 -1
Cochise County, Arizona 04003 2 0 2
Maricopa County, Arizona 04013 378 273 105
Mohave County, Arizona 04015 132 0 132
Pima County, Arizona 04019 0 1 -1
Pinal County, Arizona 04021 20 81 -61
Yavapai County, Arizona 04025 17 0 17
Benton County, Arkansas 05007 86 30 56
Faulkner County, Arkansas 05045 74 19 55
Pulaski County, Arkansas 05119 17 0 17
Sebastian County, Arkansas 05131 11 49 -38
Washington County, Arkansas 05143 37 84 -47
White County, Arkansas 05145 7 0 7
Alameda County, California 06001 7 22 -15
Fresno County, California 06019 16 0 16
Inyo County, California 06027 0 4 -4
Kern County, California 06029 10 0 10
Los Angeles County, California 06037 299 132 167
Orange County, California 06059 114 0 114
Placer County, California 06061 18 0 18
Riverside County, California 06065 443 20 423
Sacramento County, California 06067 51 7 44
San Benito County, California 06069 0 38 -38
San Bernardino County, California 06071 80 138 -58
San Diego County, California 06073 65 87 -22
San Francisco County, California 06075 0 20 -20
San Joaquin County, California 06077 0 107 -107
San Mateo County, California 06081 0 45 -45
Santa Barbara County, California 06083 3 21 -18
Santa Clara County, California 06085 51 163 -112
Stanislaus County, California 06099 51 0 51
Tulare County, California 06107 4 0 4
Ventura County, California 06111 28 11 17
Yuba County, California 06115 0 44 -44
Adams County, Colorado 08001 27 33 -6
Alamosa County, Colorado 08003 0 2 -2
Arapahoe County, Colorado 08005 220 75 145
Boulder County, Colorado 08013 140 0 140
Broomfield County, Colorado 08014 10 0 10
Delta County, Colorado 08029 9 0 9
Denver County, Colorado 08031 160 143 17
Douglas County, Colorado 08035 69 23 46
Elbert County, Colorado 08039 0 16 -16
El Paso County, Colorado 08041 584 109 475
Fremont County, Colorado 08043 6 0 6
Gunnison County, Colorado 08051 0 30 -30
Jefferson County, Colorado 08059 11 77 -66
Kiowa County, Colorado 08061 0 3 -3
La Plata County, Colorado 08067 20 0 20
Larimer County, Colorado 08069 129 0 129
Mesa County, Colorado 08077 26 0 26
Moffat County, Colorado 08081 0 12 -12
Morgan County, Colorado 08087 0 27 -27
Otero County, Colorado 08089 0 6 -6
Ouray County, Colorado 08091 0 48 -48
Pueblo County, Colorado 08101 0 26 -26
Routt County, Colorado 08107 0 34 -34
Weld County, Colorado 08123 11 41 -30
Fairfield County, Connecticut 09001 35 0 35
Hartford County, Connecticut 09003 0 15 -15
Middlesex County, Connecticut 09007 22 0 22
New Haven County, Connecticut 09009 33 0 33
District of Columbia, District of Columbia 11001 2 9 -7
Bay County, Florida 12005 106 0 106
Brevard County, Florida 12009 18 79 -61
Duval County, Florida 12031 22 11 11
Escambia County, Florida 12033 22 33 -11
Hillsborough County, Florida 12057 34 44 -10
Lee County, Florida 12071 63 12 51
Manatee County, Florida 12081 20 0 20
Marion County, Florida 12083 0 76 -76
Miami-Dade County, Florida 12086 74 0 74
Okaloosa County, Florida 12091 0 70 -70
Orange County, Florida 12095 37 56 -19
Palm Beach County, Florida 12099 32 0 32
Pasco County, Florida 12101 0 75 -75
Pinellas County, Florida 12103 28 32 -4
Polk County, Florida 12105 22 10 12
Santa Rosa County, Florida 12113 78 0 78
Volusia County, Florida 12127 23 0 23
Barrow County, Georgia 13013 0 15 -15
Bartow County, Georgia 13015 20 0 20
Bibb County, Georgia 13021 16 0 16
Bryan County, Georgia 13029 0 112 -112
Chatham County, Georgia 13051 109 751 -642
Clarke County, Georgia 13059 0 3 -3
Cobb County, Georgia 13067 58 378 -320
DeKalb County, Georgia 13089 19 9 10
Douglas County, Georgia 13097 0 17 -17
Effingham County, Georgia 13103 0 21 -21
Fayette County, Georgia 13113 0 19 -19
Fulton County, Georgia 13121 32 91 -59
Gwinnett County, Georgia 13135 6 104 -98
Henry County, Georgia 13151 23 0 23
Houston County, Georgia 13153 11 28 -17
Muscogee County, Georgia 13215 10 30 -20
Spalding County, Georgia 13255 0 7 -7
Honolulu County, Hawaii 15003 56 0 56
Bannock County, Idaho 16005 0 8 -8
Bonner County, Idaho 16017 0 73 -73
Canyon County, Idaho 16027 0 32 -32
Madison County, Idaho 16065 0 16 -16
Champaign County, Illinois 17019 0 15 -15
Christian County, Illinois 17021 0 41 -41
Cook County, Illinois 17031 211 91 120
DuPage County, Illinois 17043 15 14 1
Jackson County, Illinois 17077 0 11 -11
Kane County, Illinois 17089 0 35 -35
Kankakee County, Illinois 17091 0 23 -23
Lake County, Illinois 17097 2 25 -23
McHenry County, Illinois 17111 0 55 -55
McLean County, Illinois 17113 21 0 21
Ogle County, Illinois 17141 0 12 -12
Peoria County, Illinois 17143 111 0 111
St. Clair County, Illinois 17163 20 0 20
Sangamon County, Illinois 17167 0 7 -7
Will County, Illinois 17197 23 8 15
Clay County, Indiana 18021 20 0 20
Elkhart County, Indiana 18039 8 0 8
Fulton County, Indiana 18049 24 0 24
Hendricks County, Indiana 18063 79 0 79
Lake County, Indiana 18089 3 17 -14
Marion County, Indiana 18097 0 124 -124
Porter County, Indiana 18127 77 0 77
St. Joseph County, Indiana 18141 13 92 -79
Black Hawk County, Iowa 19013 51 57 -6
Boone County, Iowa 19015 2 0 2
Buena Vista County, Iowa 19021 48 29 19
Carroll County, Iowa 19027 11 0 11
Clay County, Iowa 19041 5 0 5
Dallas County, Iowa 19049 0 24 -24
Decatur County, Iowa 19053 0 3 -3
Dubuque County, Iowa 19061 0 5 -5
Henry County, Iowa 19087 0 2 -2
Johnson County, Iowa 19103 0 18 -18
Lee County, Iowa 19111 0 10 -10
Linn County, Iowa 19113 0 31 -31
Marion County, Iowa 19125 0 5 -5
Monona County, Iowa 19133 0 79 -79
Palo Alto County, Iowa 19147 0 1 -1
Polk County, Iowa 19153 60 175 -115
Scott County, Iowa 19163 86 0 86
Story County, Iowa 19169 56 0 56
Washington County, Iowa 19183 20 0 20
Wayne County, Iowa 19185 0 5 -5
Woodbury County, Iowa 19193 51 0 51
Allen County, Kansas 20001 185 12 173
Anderson County, Kansas 20003 0 2 -2
Atchison County, Kansas 20005 31 108 -77
Barton County, Kansas 20009 130 156 -26
Bourbon County, Kansas 20011 0 19 -19
Butler County, Kansas 20015 1910 1689 221
Chase County, Kansas 20017 66 0 66
Chautauqua County, Kansas 20019 0 41 -41
Clark County, Kansas 20025 54 4 50
Clay County, Kansas 20027 46 11 35
Cloud County, Kansas 20029 0 33 -33
Coffey County, Kansas 20031 5 2 3
Cowley County, Kansas 20035 563 358 205
Crawford County, Kansas 20037 91 172 -81
Decatur County, Kansas 20039 0 8 -8
Dickinson County, Kansas 20041 9 77 -68
Doniphan County, Kansas 20043 0 19 -19
Douglas County, Kansas 20045 445 598 -153
Elk County, Kansas 20049 15 5 10
Ellis County, Kansas 20051 93 78 15
Ellsworth County, Kansas 20053 53 18 35
Finney County, Kansas 20055 179 34 145
Ford County, Kansas 20057 156 67 89
Franklin County, Kansas 20059 71 0 71
Geary County, Kansas 20061 167 21 146
Graham County, Kansas 20065 0 5 -5
Gray County, Kansas 20069 4 34 -30
Greeley County, Kansas 20071 7 6 1
Greenwood County, Kansas 20073 166 14 152
Harper County, Kansas 20077 4 30 -26
Harvey County, Kansas 20079 809 574 235
Haskell County, Kansas 20081 0 6 -6
Hodgeman County, Kansas 20083 0 8 -8
Jackson County, Kansas 20085 0 10 -10
Jefferson County, Kansas 20087 38 0 38
Johnson County, Kansas 20091 486 721 -235
Kearny County, Kansas 20093 0 5 -5
Kingman County, Kansas 20095 100 51 49
Labette County, Kansas 20099 72 42 30
Lane County, Kansas 20101 15 1 14
Leavenworth County, Kansas 20103 161 156 5
Lincoln County, Kansas 20105 0 1 -1
Linn County, Kansas 20107 0 10 -10
Logan County, Kansas 20109 0 8 -8
Lyon County, Kansas 20111 268 396 -128
McPherson County, Kansas 20113 143 121 22
Marion County, Kansas 20115 82 66 16
Marshall County, Kansas 20117 11 7 4
Meade County, Kansas 20119 15 14 1
Miami County, Kansas 20121 20 57 -37
Montgomery County, Kansas 20125 6 93 -87
Morris County, Kansas 20127 15 8 7
Nemaha County, Kansas 20131 0 10 -10
Neosho County, Kansas 20133 189 28 161
Ness County, Kansas 20135 0 5 -5
Norton County, Kansas 20137 35 110 -75
Osborne County, Kansas 20141 0 11 -11
Ottawa County, Kansas 20143 30 1 29
Pawnee County, Kansas 20145 58 81 -23
Phillips County, Kansas 20147 0 11 -11
Pottawatomie County, Kansas 20149 32 10 22
Pratt County, Kansas 20151 161 23 138
Rawlins County, Kansas 20153 0 11 -11
Reno County, Kansas 20155 610 649 -39
Republic County, Kansas 20157 9 1 8
Rice County, Kansas 20159 44 47 -3
Riley County, Kansas 20161 531 578 -47
Rooks County, Kansas 20163 9 0 9
Rush County, Kansas 20165 0 12 -12
Russell County, Kansas 20167 34 1 33
Saline County, Kansas 20169 266 164 102
Scott County, Kansas 20171 1 9 -8
Seward County, Kansas 20175 19 91 -72
Shawnee County, Kansas 20177 371 1122 -751
Smith County, Kansas 20183 0 6 -6
Stafford County, Kansas 20185 5 9 -4
Stanton County, Kansas 20187 0 1 -1
Sumner County, Kansas 20191 494 568 -74
Thomas County, Kansas 20193 8 22 -14
Wabaunsee County, Kansas 20197 0 2 -2
Wilson County, Kansas 20205 96 62 34
Woodson County, Kansas 20207 0 8 -8
Wyandotte County, Kansas 20209 229 330 -101
Breathitt County, Kentucky 21025 0 39 -39
Christian County, Kentucky 21047 24 0 24
Daviess County, Kentucky 21059 0 34 -34
Meade County, Kentucky 21163 0 62 -62
Beauregard Parish, Louisiana 22011 0 14 -14
Bossier Parish, Louisiana 22015 0 3 -3
Caddo Parish, Louisiana 22017 3 0 3
Calcasieu Parish, Louisiana 22019 20 0 20
East Baton Rouge Parish, Louisiana 22033 19 6 13
Jefferson Parish, Louisiana 22051 23 64 -41
Lincoln Parish, Louisiana 22061 11 0 11
Orleans Parish, Louisiana 22071 0 1 -1
Pointe Coupee Parish, Louisiana 22077 8 0 8
Vermilion Parish, Louisiana 22113 0 128 -128
Vernon Parish, Louisiana 22115 11 0 11
West Feliciana Parish, Louisiana 22125 307 0 307
Cumberland County, Maine 23005 0 9 -9
Baltimore County, Maryland 24005 12 42 -30
Calvert County, Maryland 24009 26 0 26
Harford County, Maryland 24025 1 0 1
Montgomery County, Maryland 24031 31 0 31
Prince George's County, Maryland 24033 11 0 11
Berkshire County, Massachusetts 25003 0 16 -16
Hampden County, Massachusetts 25013 2 0 2
Middlesex County, Massachusetts 25017 63 0 63
Cheboygan County, Michigan 26031 0 5 -5
Chippewa County, Michigan 26033 4 0 4
Gladwin County, Michigan 26051 4 0 4
Jackson County, Michigan 26075 1 0 1
Kalamazoo County, Michigan 26077 0 88 -88
Kent County, Michigan 26081 19 0 19
St. Clair County, Michigan 26147 30 68 -38
Washtenaw County, Michigan 26161 0 45 -45
Wayne County, Michigan 26163 0 24 -24
Aitkin County, Minnesota 27001 0 17 -17
Becker County, Minnesota 27005 20 0 20
Beltrami County, Minnesota 27007 14 0 14
Brown County, Minnesota 27015 0 7 -7
Cass County, Minnesota 27021 0 2 -2
Douglas County, Minnesota 27041 0 8 -8
Hennepin County, Minnesota 27053 24 6 18
Isanti County, Minnesota 27059 0 25 -25
Le Sueur County, Minnesota 27079 0 14 -14
Ramsey County, Minnesota 27123 44 0 44
Harrison County, Mississippi 28047 5 27 -22
Hinds County, Mississippi 28049 4 0 4
Lafayette County, Mississippi 28071 5 0 5
Lauderdale County, Mississippi 28075 5 0 5
Adair County, Missouri 29001 28 0 28
Andrew County, Missouri 29003 121 0 121
Atchison County, Missouri 29005 0 2 -2
Barry County, Missouri 29009 0 3 -3
Bates County, Missouri 29013 0 3 -3
Boone County, Missouri 29019 114 7 107
Buchanan County, Missouri 29021 43 17 26
Caldwell County, Missouri 29025 0 16 -16
Callaway County, Missouri 29027 42 0 42
Camden County, Missouri 29029 10 92 -82
Cape Girardeau County, Missouri 29031 0 1 -1
Cass County, Missouri 29037 21 29 -8
Cedar County, Missouri 29039 0 6 -6
Christian County, Missouri 29043 16 0 16
Clay County, Missouri 29047 5 53 -48
Franklin County, Missouri 29071 0 2 -2
Greene County, Missouri 29077 32 59 -27
Henry County, Missouri 29083 0 5 -5
Howell County, Missouri 29091 14 0 14
Jackson County, Missouri 29095 102 511 -409
Jasper County, Missouri 29097 75 18 57
Jefferson County, Missouri 29099 13 10 3
Johnson County, Missouri 29101 0 10 -10
Lawrence County, Missouri 29109 0 44 -44
Mercer County, Missouri 29129 0 1 -1
Newton County, Missouri 29145 44 6 38
Osage County, Missouri 29151 0 8 -8
Pettis County, Missouri 29159 0 30 -30
Platte County, Missouri 29165 29 17 12
Polk County, Missouri 29167 18 10 8
Pulaski County, Missouri 29169 103 0 103
Putnam County, Missouri 29171 0 2 -2
Ralls County, Missouri 29173 8 0 8
St. Charles County, Missouri 29183 2 43 -41
St. Louis County, Missouri 29189 0 57 -57
Saline County, Missouri 29195 0 6 -6
Shelby County, Missouri 29205 0 8 -8
Stone County, Missouri 29209 0 159 -159
Sullivan County, Missouri 29211 9 0 9
Taney County, Missouri 29213 4 3 1
Texas County, Missouri 29215 0 33 -33
Vernon County, Missouri 29217 0 37 -37
Wayne County, Missouri 29223 0 2 -2
Wright County, Missouri 29229 198 4 194
St. Louis city, Missouri 29510 19 39 -20
Lewis and Clark County, Montana 30049 51 0 51
Missoula County, Montana 30063 0 28 -28
Valley County, Montana 30105 15 0 15
Adams County, Nebraska 31001 0 2 -2
Antelope County, Nebraska 31003 0 2 -2
Buffalo County, Nebraska 31019 0 3 -3
Dodge County, Nebraska 31053 0 36 -36
Douglas County, Nebraska 31055 14 92 -78
Hooker County, Nebraska 31091 0 4 -4
Jefferson County, Nebraska 31095 0 3 -3
Lancaster County, Nebraska 31109 22 30 -8
Lincoln County, Nebraska 31111 0 16 -16
Madison County, Nebraska 31119 29 0 29
Sarpy County, Nebraska 31153 135 37 98
Scotts Bluff County, Nebraska 31157 0 32 -32
Seward County, Nebraska 31159 7 0 7
Thayer County, Nebraska 31169 0 5 -5
York County, Nebraska 31185 14 0 14
Clark County, Nevada 32003 61 67 -6
Washoe County, Nevada 32031 9 0 9
Belknap County, New Hampshire 33001 66 0 66
Grafton County, New Hampshire 33009 0 13 -13
Burlington County, New Jersey 34005 0 12 -12
Camden County, New Jersey 34007 0 17 -17
Essex County, New Jersey 34013 1 12 -11
Monmouth County, New Jersey 34025 100 0 100
Somerset County, New Jersey 34035 9 0 9
Bernalillo County, New Mexico 35001 28 19 9
Curry County, New Mexico 35009 0 6 -6
Roosevelt County, New Mexico 35041 10 0 10
Sandoval County, New Mexico 35043 0 24 -24
Santa Fe County, New Mexico 35049 0 3 -3
Albany County, New York 36001 21 0 21
Bronx County, New York 36005 26 0 26
Delaware County, New York 36025 0 9 -9
Erie County, New York 36029 0 19 -19
Essex County, New York 36031 0 9 -9
Fulton County, New York 36035 27 10 17
Kings County, New York 36047 170 0 170
Monroe County, New York 36055 92 0 92
New York County, New York 36061 0 95 -95
Orange County, New York 36071 13 0 13
Queens County, New York 36081 0 3 -3
Catawba County, North Carolina 37035 33 0 33
Cleveland County, North Carolina 37045 14 0 14
Cumberland County, North Carolina 37051 0 15 -15
Davidson County, North Carolina 37057 13 0 13
Guilford County, North Carolina 37081 28 26 2
Henderson County, North Carolina 37089 33 0 33
Mecklenburg County, North Carolina 37119 0 16 -16
Onslow County, North Carolina 37133 156 80 76
Pitt County, North Carolina 37147 35 0 35
Randolph County, North Carolina 37151 0 7 -7
Wake County, North Carolina 37183 0 33 -33
Cass County, North Dakota 38017 0 5 -5
Grand Forks County, North Dakota 38035 0 6 -6
Clark County, Ohio 39023 0 29 -29
Columbiana County, Ohio 39029 0 20 -20
Coshocton County, Ohio 39031 0 3 -3
Cuyahoga County, Ohio 39035 5 0 5
Franklin County, Ohio 39049 98 2 96
Geauga County, Ohio 39055 9 0 9
Lawrence County, Ohio 39087 14 0 14
Miami County, Ohio 39109 5 0 5
Montgomery County, Ohio 39113 14 24 -10
Trumbull County, Ohio 39155 8 0 8
Wayne County, Ohio 39169 6 0 6
Bryan County, Oklahoma 40013 0 17 -17
Caddo County, Oklahoma 40015 5 3 2
Canadian County, Oklahoma 40017 0 43 -43
Cherokee County, Oklahoma 40021 0 12 -12
Cleveland County, Oklahoma 40027 172 170 2
Comanche County, Oklahoma 40031 13 8 5
Craig County, Oklahoma 40035 0 5 -5
Delaware County, Oklahoma 40041 96 25 71
Dewey County, Oklahoma 40043 5 0 5
Garfield County, Oklahoma 40047 0 74 -74
Grady County, Oklahoma 40051 22 69 -47
Grant County, Oklahoma 40053 0 16 -16
Greer County, Oklahoma 40055 0 1 -1
Jackson County, Oklahoma 40065 0 64 -64
Kay County, Oklahoma 40071 0 101 -101
Le Flore County, Oklahoma 40079 5 0 5
Lincoln County, Oklahoma 40081 0 2 -2
Logan County, Oklahoma 40083 15 0 15
Major County, Oklahoma 40093 0 13 -13
Marshall County, Oklahoma 40095 0 17 -17
Mayes County, Oklahoma 40097 0 2 -2
Muskogee County, Oklahoma 40101 14 0 14
Noble County, Oklahoma 40103 0 21 -21
Oklahoma County, Oklahoma 40109 175 250 -75
Okmulgee County, Oklahoma 40111 0 10 -10
Osage County, Oklahoma 40113 15 0 15
Ottawa County, Oklahoma 40115 0 3 -3
Pawnee County, Oklahoma 40117 39 0 39
Payne County, Oklahoma 40119 13 60 -47
Pittsburg County, Oklahoma 40121 18 9 9
Pontotoc County, Oklahoma 40123 0 7 -7
Pottawatomie County, Oklahoma 40125 0 6 -6
Pushmataha County, Oklahoma 40127 0 2 -2
Rogers County, Oklahoma 40131 8 76 -68
Seminole County, Oklahoma 40133 0 2 -2
Sequoyah County, Oklahoma 40135 3 0 3
Tulsa County, Oklahoma 40143 603 212 391
Wagoner County, Oklahoma 40145 55 13 42
Washington County, Oklahoma 40147 0 79 -79
Woods County, Oklahoma 40151 0 25 -25
Clackamas County, Oregon 41005 0 40 -40
Deschutes County, Oregon 41017 0 15 -15
Jackson County, Oregon 41029 17 0 17
Lane County, Oregon 41039 19 0 19
Linn County, Oregon 41043 22 0 22
Multnomah County, Oregon 41051 52 19 33
Umatilla County, Oregon 41059 8 0 8
Washington County, Oregon 41067 0 13 -13
Yamhill County, Oregon 41071 0 116 -116
Allegheny County, Pennsylvania 42003 15 62 -47
Beaver County, Pennsylvania 42007 0 8 -8
Bucks County, Pennsylvania 42017 0 12 -12
Butler County, Pennsylvania 42019 41 0 41
Chester County, Pennsylvania 42029 40 0 40
Cumberland County, Pennsylvania 42041 0 27 -27
Greene County, Pennsylvania 42059 10 0 10
Huntingdon County, Pennsylvania 42061 18 8 10
Mercer County, Pennsylvania 42085 19 0 19
Aiken County, South Carolina 45003 0 32 -32
Charleston County, South Carolina 45019 0 19 -19
Greenville County, South Carolina 45045 10 42 -32
Lexington County, South Carolina 45063 0 24 -24
York County, South Carolina 45091 0 22 -22
Codington County, South Dakota 46029 0 17 -17
Davison County, South Dakota 46035 7 0 7
Haakon County, South Dakota 46055 0 1 -1
Marshall County, South Dakota 46091 0 8 -8
Meade County, South Dakota 46093 0 44 -44
Minnehaha County, South Dakota 46099 50 0 50
Pennington County, South Dakota 46103 0 2 -2
Yankton County, South Dakota 46135 0 10 -10
Anderson County, Tennessee 47001 66 0 66
Cheatham County, Tennessee 47021 0 15 -15
Davidson County, Tennessee 47037 36 0 36
Hardin County, Tennessee 47071 0 10 -10
Knox County, Tennessee 47093 24 11 13
Loudon County, Tennessee 47105 21 0 21
Montgomery County, Tennessee 47125 0 45 -45
Shelby County, Tennessee 47157 66 4 62
Angelina County, Texas 48005 0 29 -29
Aransas County, Texas 48007 35 0 35
Archer County, Texas 48009 18 0 18
Bell County, Texas 48027 0 226 -226
Bexar County, Texas 48029 109 131 -22
Bowie County, Texas 48037 0 43 -43
Brazoria County, Texas 48039 11 85 -74
Brazos County, Texas 48041 1 0 1
Callahan County, Texas 48059 0 15 -15
Cameron County, Texas 48061 0 14 -14
Cherokee County, Texas 48073 0 51 -51
Coleman County, Texas 48083 7 0 7
Collin County, Texas 48085 46 168 -122
Coryell County, Texas 48099 0 18 -18
Dallas County, Texas 48113 32 317 -285
Deaf Smith County, Texas 48117 34 0 34
Denton County, Texas 48121 139 62 77
Ellis County, Texas 48139 29 22 7
El Paso County, Texas 48141 431 193 238
Galveston County, Texas 48167 38 35 3
Garza County, Texas 48169 0 11 -11
Hansford County, Texas 48195 0 9 -9
Harris County, Texas 48201 88 119 -31
Hays County, Texas 48209 79 0 79
Hidalgo County, Texas 48215 9 0 9
Hill County, Texas 48217 11 0 11
Jefferson County, Texas 48245 0 42 -42
Jim Wells County, Texas 48249 31 0 31
Johnson County, Texas 48251 12 0 12
Kleberg County, Texas 48273 0 6 -6
Lubbock County, Texas 48303 0 36 -36
McLennan County, Texas 48309 0 28 -28
Midland County, Texas 48329 15 0 15
Nacogdoches County, Texas 48347 0 67 -67
Nueces County, Texas 48355 0 29 -29
Parker County, Texas 48367 8 0 8
Potter County, Texas 48375 9 0 9
San Patricio County, Texas 48409 251 31 220
Tarrant County, Texas 48439 60 171 -111
Taylor County, Texas 48441 0 40 -40
Titus County, Texas 48449 0 5 -5
Travis County, Texas 48453 52 61 -9
Val Verde County, Texas 48465 9 0 9
Wichita County, Texas 48485 64 53 11
Williamson County, Texas 48491 26 161 -135
Cache County, Utah 49005 129 0 129
Davis County, Utah 49011 90 0 90
Duchesne County, Utah 49013 18 0 18
Salt Lake County, Utah 49035 0 37 -37
Summit County, Utah 49043 14 0 14
Utah County, Utah 49049 0 24 -24
Chesterfield County, Virginia 51041 2 0 2
Fairfax County, Virginia 51059 16 10 6
Stafford County, Virginia 51179 11 0 11
Alexandria city, Virginia 51510 0 27 -27
Harrisonburg city, Virginia 51660 0 7 -7
Newport News city, Virginia 51700 0 20 -20
Norfolk city, Virginia 51710 0 14 -14
Cowlitz County, Washington 53015 23 0 23
Franklin County, Washington 53021 8 0 8
Grant County, Washington 53025 0 78 -78
Island County, Washington 53029 18 0 18
Jefferson County, Washington 53031 0 2 -2
King County, Washington 53033 55 58 -3
Kitsap County, Washington 53035 0 36 -36
Pierce County, Washington 53053 33 0 33
Snohomish County, Washington 53061 32 41 -9
Spokane County, Washington 53063 5 0 5
Whatcom County, Washington 53073 0 12 -12
Kanawha County, West Virginia 54039 0 5 -5
Dane County, Wisconsin 55025 12 0 12
Kewaunee County, Wisconsin 55061 0 3 -3
Milwaukee County, Wisconsin 55079 39 29 10
Monroe County, Wisconsin 55081 0 83 -83
Sauk County, Wisconsin 55111 0 3 -3
Sawyer County, Wisconsin 55113 0 1 -1
Albany County, Wyoming 56001 0 5 -5
Laramie County, Wyoming 56021 2 0 2
Natrona County, Wyoming 56025 19 0 19
Naguabo Municipio, Puerto Rico 72103 9 0 9
Norwalk town, Fairfield County, Connecticut 0900156060 11 0 11
Stamford town, Fairfield County, Connecticut 0900173070 24 0 24
Windsor Locks town, Hartford County, Connecticut 0900387070 0 15 -15
Clinton town, Middlesex County, Connecticut 0900715350 22 0 22
East Haven town, New Haven County, Connecticut 0900922910 22 0 22
Meriden town, New Haven County, Connecticut 0900946520 11 0 11
Brunswick town, Cumberland County, Maine 2300508430 0 9 -9
Pittsfield city, Berkshire County, Massachusetts 2500353960 0 16 -16
Wilbraham town, Hampden County, Massachusetts 2501379740 2 0 2
Waltham city, Middlesex County, Massachusetts 2501772600 63 0 63
Munro township, Cheboygan County, Michigan 2603156280 0 5 -5
Pickford township, Chippewa County, Michigan 2603363980 4 0 4
Grout township, Gladwin County, Michigan 2605135620 4 0 4
Summit township, Jackson County, Michigan 2607577200 1 0 1
Oshtemo charter township, Kalamazoo County, Michigan 2607761400 0 26 -26
Portage city, Kalamazoo County, Michigan 2607765560 0 24 -24
Richland township, Kalamazoo County, Michigan 2607768260 0 38 -38
Grand Rapids city, Kent County, Michigan 2608134000 19 0 19
China township, St. Clair County, Michigan 2614715540 30 0 30
Clyde township, St. Clair County, Michigan 2614716760 0 68 -68
Ann Arbor city, Washtenaw County, Michigan 2616103000 0 45 -45
Dearborn Heights city, Wayne County, Michigan 2616321020 0 6 -6
Detroit city, Wayne County, Michigan 2616322000 0 18 -18
Aitkin city, Aitkin County, Minnesota 2700100460 0 17 -17
Audubon township, Becker County, Minnesota 2700502746 20 0 20
Northern township, Beltrami County, Minnesota 2700746906 14 0 14
Albin township, Brown County, Minnesota 2701500748 0 1 -1
Cottonwood township, Brown County, Minnesota 2701513546 0 6 -6
Ponto Lake township, Cass County, Minnesota 2702151928 0 2 -2
Carlos city, Douglas County, Minnesota 2704109964 0 8 -8
Bloomington city, Hennepin County, Minnesota 2705306616 5 0 5
Maple Grove city, Hennepin County, Minnesota 2705340166 15 0 15
Minneapolis city, Hennepin County, Minnesota 2705343000 4 0 4
Robbinsdale city, Hennepin County, Minnesota 2705354808 0 6 -6
Isanti city, Isanti County, Minnesota 2705931328 0 25 -25
New Prague city, Le Sueur County, Minnesota 2707945808 0 14 -14
St. Paul city, Ramsey County, Minnesota 2712358000 44 0 44
Laconia city, Belknap County, New Hampshire 3300140180 66 0 66
Lebanon city, Grafton County, New Hampshire 3300941300 0 13 -13
Delanco township, Burlington County, New Jersey 3400517080 0 12 -12
Gloucester City city, Camden County, New Jersey 3400726820 0 17 -17
Montclair township, Essex County, New Jersey 3401347500 1 0 1
Newark city, Essex County, New Jersey 3401351000 0 12 -12
Aberdeen township, Monmouth County, New Jersey 3402500070 12 0 12
Matawan borough, Monmouth County, New Jersey 3402544520 88 0 88
Franklin township, Somerset County, New Jersey 3403524900 9 0 9
Albany city, Albany County, New York 3600101000 21 0 21
Bronx borough, Bronx County, New York 3600508510 26 0 26
Middletown town, Delaware County, New York 3602547031 0 9 -9
Cheektowaga town, Erie County, New York 3602915011 0 19 -19
North Elba town, Essex County, New York 3603151935 0 9 -9
Johnstown city, Fulton County, New York 3603538781 0 10 -10
Northampton town, Fulton County, New York 3603551407 27 0 27
Brooklyn borough, Kings County, New York 3604710022 170 0 170
Rochester city, Monroe County, New York 3605563000 92 0 92
Manhattan borough, New York County, New York 3606144919 0 95 -95
New Windsor town, Orange County, New York 3607150848 13 0 13
Queens borough, Queens County, New York 3608160323 0 3 -3
Dormont borough, Allegheny County, Pennsylvania 4200319576 4 0 4
Forest Hills borough, Allegheny County, Pennsylvania 4200326592 1 0 1
Pine township, Allegheny County, Pennsylvania 4200360272 0 55 -55
Pittsburgh city, Allegheny County, Pennsylvania 4200361000 10 7 3
New Brighton borough, Beaver County, Pennsylvania 4200753288 0 8 -8
Lower Makefield township, Bucks County, Pennsylvania 4201744968 0 12 -12
Forward township, Butler County, Pennsylvania 4201926904 41 0 41
Penn township, Chester County, Pennsylvania 4202958808 16 0 16
Thornbury township, Chester County, Pennsylvania 4202976568 24 0 24
Hampden township, Cumberland County, Pennsylvania 4204132296 0 27 -27
Waynesburg borough, Greene County, Pennsylvania 4205981832 10 0 10
Huntingdon borough, Huntingdon County, Pennsylvania 4206136368 18 0 18
Warriors Mark township, Huntingdon County, Pennsylvania 4206181104 0 8 -8
Perry township, Mercer County, Pennsylvania 4208559496 19 0 19
Madison city, Dane County, Wisconsin 5502548000 12 0 12
Casco village, Kewaunee County, Wisconsin 5506112850 0 3 -3
Milwaukee city, Milwaukee County, Wisconsin 5507953000 22 12 10
Wauwatosa city, Milwaukee County, Wisconsin 5507984675 0 17 -17
West Allis city, Milwaukee County, Wisconsin 5507985300 16 0 16
Whitefish Bay village, Milwaukee County, Wisconsin 5507986700 1 0 1
Kendall village, Monroe County, Wisconsin 5508139150 0 2 -2
Oakdale town, Monroe County, Wisconsin 5508158875 0 12 -12
Tomah city, Monroe County, Wisconsin 5508180075 0 69 -69
West Baraboo village, Sauk County, Wisconsin 5511185325 0 3 -3
Lenroot town, Sawyer County, Wisconsin 5511343400 0 1 -1

Examine county-to-county migration and compare counties using the interactive table.

2. General, Social, Economic, Housing Characteristics

2.1. General Demographics - Detailed Characteristics .. goto topics
.. age, gender, race/origin characteristics
    and related general demographic attributes.
.. based on ACS 2021 1-year data (ACS). Negative cell value indicates NA.
GENERAL DEMOGRAPHIC CHARACTERISTICS (DP1) ItemCode County Estimate County Percent U.S. Estimate U.S. Percent
SEX AND AGE      
.Total population D001 523,828 100.0 331,893,745 100.0
..Male D002 259,889 49.6 164,350,703 49.5
..Female D003 263,939 50.4 167,543,042 50.5
..Sex ratio (males per 100 females) D004 98.5   98.1  
     
..Under 5 years D005 33,450 6.4 18,661,245 5.6
..5 to 9 years D006 33,214 6.3 20,010,813 6.0
..10 to 14 years D007 42,824 8.2 21,821,492 6.6
..15 to 19 years D008 36,539 7.0 21,824,088 6.6
..20 to 24 years D009 34,569 6.6 21,382,643 6.4
..25 to 34 years D010 73,616 14.1 45,079,138 13.6
..35 to 44 years D011 67,044 12.8 43,733,561 13.2
..45 to 54 years D012 57,751 11.0 40,673,717 12.3
..55 to 59 years D013 30,533 5.8 21,141,152 6.4
..60 to 64 years D014 33,325 6.4 21,673,882 6.5
..65 to 74 years D015 50,493 9.6 33,778,204 10.2
..75 to 84 years D016 22,364 4.3 16,151,137 4.9
..85 years and over D017 8,106 1.5 5,962,673 1.8
     
..Median age (years) D018 35.9   38.8  
     
..Under 18 years D019 132,221 25.2 73,475,278 22.1
..16 years and over D020 407,206 77.7 267,057,693 80.5
..18 years and over D021 391,607 74.8 258,418,467 77.9
..21 years and over D022 370,700 70.8 245,143,605 73.9
..62 years and over D023 102,284 19.5 68,689,093 20.7
..65 years and over D024 80,963 15.5 55,892,014 16.8
     
..18 years and over D025 391,607 100.0 258,418,467 100.0
...Male D026 192,382 49.1 126,690,177 49.0
...Female D027 199,225 50.9 131,728,290 51.0
...Sex ratio (males per 100 females) D028 96.6   96.2  
     
..65 years and over D029 80,963 100.0 55,892,014 100.0
...Male D030 37,075 45.8 25,191,742 45.1
...Female D031 43,888 54.2 30,700,272 54.9
...Sex ratio (males per 100 females) D032 84.5   82.1  
     
RACE      
.Total population D033 523,828 100.0 331,893,745 100.0
..One race D034 456,761 87.2 290,007,306 87.4
..Two or more races D035 67,067 12.8 41,886,439 12.6
     
..One race D036 456,761 87.2 290,007,306 87.4
...White D037 360,482 68.8 202,981,791 61.2
...Black or African American D038 40,129 7.7 40,194,304 12.1
...American Indian and Alaska Native D039 3,641 0.7 3,158,694 1.0
....Cherokee tribal grouping D040 -1 100.0 227,856 100.0
....Chippewa tribal grouping D041 -1 100.0 89,481 100.0
....Navajo tribal grouping D042 -1 100.0 328,370 100.0
....Sioux tribal grouping D043 -1 100.0 106,145 100.0
...Asian D044 22,956 4.4 19,157,288 5.8
....Asian Indian D045 1,656 0.3 4,402,223 1.3
....Chinese D046 1,733 0.3 4,360,466 1.3
....Filipino D047 1,902 0.4 2,960,811 0.9
....Japanese D048 137 0.0 742,549 0.2
....Korean D049 354 0.1 1,445,315 0.4
....Vietnamese D050 11,213 2.1 1,896,690 0.6
....Other Asian D051 5,961 1.1 3,349,234 1.0
...Native Hawaiian and Other Pacific Islander D052 332 0.1 612,448 0.2
....Native Hawaiian D053 -1 100.0 185,391 100.0
....Guamanian or Chamorro D054 -1 100.0 68,757 100.0
....Samoan D055 -1 100.0 121,585 100.0
....Other Pacific Islander D056 -1 100.0 236,715 100.0
...Some other race D057 29,221 5.6 23,902,781 7.2
..Two or more races D058 67,067 12.8 41,886,439 12.6
...White and Black or African American D059 10,337 2.0 3,569,990 1.1
...White and American Indian and Alaska Native D060 7,599 1.5 3,212,437 1.0
...White and Asian D061 3,945 0.8 2,773,539 0.8
...Black or African American and American Indian and Alaska Native D062 2,490 0.5 462,571 0.1
     
Race alone or in combination with one or more other races      
.Total population D063 523,828 100.0 331,893,745 100.0
..White D064 422,459 80.6 241,836,150 72.9
..Black or African American D065 57,576 11.0 47,234,227 14.2
..American Indian and Alaska Native D066 18,400 3.5 8,750,904 2.6
..Asian D067 28,225 5.4 23,545,238 7.1
..Native Hawaiian and Other Pacific Islander D068 1,036 0.2 1,541,118 0.5
..Some other race D069 68,742 13.1 53,868,002 16.2
     
HISPANIC OR LATINO AND RACE      
.Total population D070 523,828 100.0 331,893,745 100.0
..Hispanic or Latino (of any race) D071 82,309 15.7 62,529,064 18.8
...Mexican D072 69,485 13.3 37,235,886 11.2
...Puerto Rican D073 3,602 0.7 5,798,287 1.7
...Cuban D074 477 0.1 2,400,152 0.7
...Other Hispanic or Latino D075 8,745 1.7 17,094,739 5.2
..Not Hispanic or Latino D076 441,519 84.3 269,364,681 81.2
...White alone D077 341,928 65.3 192,753,887 58.1
...Black or African American alone D078 39,458 7.5 39,269,297 11.8
...American Indian and Alaska Native alone D079 1,817 0.3 1,749,871 0.5
...Asian alone D080 22,872 4.4 18,889,050 5.7
...Native Hawaiian and Other Pacific Islander alone D081 332 0.1 558,717 0.2
...Some other race alone D082 3,825 0.7 1,845,426 0.6
...Two or more races D083 31,287 6.0 14,298,433 4.3
....Two races including Some other race D084 5,831 1.1 3,342,216 1.0
....Two races excluding Some other race, and Three or more races D085 25,456 4.9 10,956,217 3.3
     
.Total housing units D086 225,434 100.0 142,148,050 100.0
     
CITIZEN, VOTING AGE POPULATION      
.Citizen, 18 and over population D087 371,287 100.0 239,035,960 100.0
..Male D088 180,745 48.7 116,766,700 48.8
..Female D089 190,542 51.3 122,269,260 51.2


2.2. Social Characteristics .. goto topics
.. families/households, education, enrollment, fertility, disability, language spoken, mobility, foreign born, ancestry characteristics
    and related social attributes.
.. based on ACS 2021 1-year data (ACS). Negative cell value indicates NA.
SOCIAL CHARACTERISTICS (DP2) ItemCode County Estimate County Percent U.S. Estimate U.S. Percent
HOUSEHOLDS BY TYPE      
.Total households S001 203,656 100.0 127,544,730 100.0
..Married-couple family S002 93,895 46.1 60,360,084 47.3
...With own children of the householder under 18 years S003 35,577 17.5 22,870,106 17.9
..Cohabiting couple household S004 12,275 6.0 9,195,007 7.2
...With own children of the householder under 18 years S005 6,215 3.1 2,933,896 2.3
..Male householder, no spouse/partner present S006 41,337 20.3 23,109,048 18.1
...With own children of the householder under 18 years S007 3,801 1.9 1,572,727 1.2
...Householder living alone S008 28,411 14.0 16,359,032 12.8
....65 years and over S009 7,884 3.9 4,814,086 3.8
..Female householder, no spouse/partner present S010 56,149 27.6 34,880,591 27.3
...With own children of the householder under 18 years S011 10,926 5.4 6,253,443 4.9
...Householder living alone S012 33,805 16.6 19,691,382 15.4
....65 years and over S013 15,128 7.4 9,539,491 7.5
     
..Households with one or more people under 18 years S014 63,353 31.1 37,661,807 29.5
..Households with one or more people 65 years and over S015 57,733 28.3 39,884,869 31.3
     
..Average household size S016 2.54   2.54  
..Average family size S017 3.21   3.15  
     
RELATIONSHIP      
.Population in households S018 517,753 100.0 324,132,886 100.0
..Householder S019 203,656 39.3 127,544,730 39.3
..Spouse S020 94,016 18.2 60,303,729 18.6
..Unmarried partner S021 12,161 2.3 9,251,322 2.9
..Child S022 158,632 30.6 94,303,591 29.1
..Other relatives S023 36,551 7.1 22,586,523 7.0
..Other nonrelatives S024 12,737 2.5 10,142,991 3.1
     
MARITAL STATUS      
.Males 15 years and over S025 204,014 100.0 133,358,219 100.0
..Never married S026 73,238 35.9 49,530,132 37.1
..Now married, except separated S027 102,700 50.3 66,215,121 49.7
..Separated S028 2,285 1.1 1,981,789 1.5
..Widowed S029 5,267 2.6 3,411,896 2.6
..Divorced S030 20,524 10.1 12,219,281 9.2
     
.Females 15 years and over S031 210,326 100.0 138,041,976 100.0
..Never married S032 63,517 30.2 43,214,903 31.3
..Now married, except separated S033 98,693 46.9 64,153,674 46.5
..Separated S034 2,812 1.3 2,657,369 1.9
..Widowed S035 14,748 7.0 11,416,414 8.3
..Divorced S036 30,556 14.5 16,599,616 12.0
     
FERTILITY      
.Number of women 15 to 50 years old who had a birth in the past 12 months S037 7,534 100.0 3,922,188 100.0
..Unmarried women (widowed, divorced, and never married) S038 3,189 42.3 1,242,288 31.7
...Per 1,000 unmarried women S039 46 -1.0 28 -1.0
..Per 1,000 women 15 to 50 years old S040 61 -1.0 51 -1.0
..Per 1,000 women 15 to 19 years old S041 29 -1.0 8 -1.0
..Per 1,000 women 20 to 34 years old S042 110 -1.0 84 -1.0
..Per 1,000 women 35 to 50 years old S043 22 -1.0 32 -1.0
     
GRANDPARENTS      
.Number of grandparents living with own grandchildren under 18 years S044 9,858 100.0 6,658,830 100.0
..Grandparents responsible for grandchildren S045 3,990 40.5 2,085,527 31.3
..Years responsible for grandchildren
...Less than 1 year S046 979 9.9 315,750 4.7
...1 or 2 years S047 1,085 11.0 402,768 6.0
...3 or 4 years S048 62 0.6 338,613 5.1
...5 or more years S049 1,864 18.9 1,028,396 15.4
     
.Number of grandparents responsible for own grandchildren under 18 years S050 3,990 100.0 2,085,527 100.0
..Who are female S051 2,459 61.6 1,322,096 63.4
..Who are married S052 1,905 47.7 1,396,788 67.0
     
SCHOOL ENROLLMENT      
.Population 3 years and over enrolled in school S053 139,803 100.0 79,453,524 100.0
..Nursery school, preschool S054 8,102 5.8 4,095,935 5.2
..Kindergarten S055 7,716 5.5 4,011,805 5.0
..Elementary school (grades 1-8) S056 61,090 43.7 32,855,519 41.4
..High school (grades 9-12) S057 31,514 22.5 17,293,504 21.8
..College or graduate school S058 31,381 22.4 21,196,761 26.7
     
EDUCATIONAL ATTAINMENT      
.Population 25 years and over S059 343,232 100.0 228,193,464 100.0
..Less than 9th grade S060 14,068 4.1 10,860,370 4.8
..9th to 12th grade, no diploma S061 23,385 6.8 13,412,111 5.9
..High school graduate (includes equivalency) S062 88,769 25.9 59,996,344 26.3
..Some college, no degree S063 82,109 23.9 44,048,941 19.3
..Associate's degree S064 27,964 8.1 19,972,235 8.8
..Bachelor's degree S065 67,121 19.6 48,482,060 21.2
..Graduate or professional degree S066 39,816 11.6 31,421,403 13.8
     
..High school graduate or higher S067 305,779 89.1 203,920,983 89.4
..Bachelor's degree or higher S068 106,937 31.2 79,903,463 35.0
     
VETERAN STATUS      
.Civilian population 18 years and over S069 388,739 100.0 257,083,784 100.0
..Civilian veterans S070 26,101 6.7 16,501,502 6.4
     
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION      
.Total Civilian Noninstitutionalized Population S071 517,015 100.0 326,912,547 100.0
..With a disability S072 69,994 13.5 42,485,034 13.0
     
.Under 18 years S073 132,017 100.0 73,357,731 100.0
..With a disability S074 7,057 5.3 3,399,376 4.6
     
.18 to 64 years S075 305,773 100.0 198,812,874 100.0
..With a disability S076 38,677 12.6 21,246,505 10.7
     
.65 years and over S077 79,225 100.0 54,741,942 100.0
..With a disability S078 24,260 30.6 17,839,153 32.6
     
RESIDENCE 1 YEAR AGO      
.Population 1 year and over S079 517,395 100.0 328,464,538 100.0
..Same house S080 430,925 83.3 286,552,923 87.2
..Different house in the U.S. or abroad S081 86,470 16.7 41,911,615 12.8
..Different house in the U.S. S082 85,472 16.5 40,436,958 12.3
...Same county S083 59,139 11.4 21,878,668 6.7
...Different county S084 26,333 5.1 18,558,290 5.7
....Same state S085 11,462 2.2 10,698,453 3.3
....Different state S086 14,871 2.9 7,859,837 2.4
..Abroad S087 998 0.2 1,474,657 0.4
     
PLACE OF BIRTH      
.Total population S088 523,828 100.0 331,893,745 100.0
..Native S089 482,747 92.2 286,623,642 86.4
...Born in United States S090 476,597 91.0 281,070,671 84.7
....State of residence S091 333,868 63.7 191,929,224 57.8
....Different state S092 142,729 27.2 89,141,447 26.9
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s) S093 6,150 1.2 5,552,971 1.7
..Foreign born S094 41,081 7.8 45,270,103 13.6
     
U.S. CITIZENSHIP STATUS      
.Foreign-born population S095 41,081 100.0 45,270,103 100.0
..Naturalized U.S. citizen S096 19,679 47.9 24,044,083 53.1
..Not a U.S. citizen S097 21,402 52.1 21,226,020 46.9
     
YEAR OF ENTRY      
.Population born outside the United States S098 47,231 100.0 50,823,074 100.0
     
..Native S099 6,150 100.0 5,552,971 100.0
...Entered 2010 or later S100 1,910 31.1 1,697,342 30.6
...Entered before 2010 S101 4,240 68.9 3,855,629 69.4
     
..Foreign born S102 41,081 100.0 45,270,103 100.0
...Entered 2010 or later S103 11,612 28.3 12,717,163 28.1
...Entered before 2010 S104 29,469 71.7 32,552,940 71.9
     
WORLD REGION OF BIRTH OF FOREIGN BORN      
.Foreign-born population, excluding population born at sea S105 -1   45,269,644  
..Europe S106 -1   4,865,317  
..Asia S107 -1   14,034,338  
..Africa S108 -1   2,597,894  
..Oceania S109 -1   292,766  
..Latin America S110 -1   22,691,727  
..Northern America S111 -1   787,602  
     
LANGUAGE SPOKEN AT HOME      
.Population 5 years and over S112 490,378 100.0 313,232,500 100.0
..English only S113 421,049 85.9 245,478,064 78.4
..Language other than English S114 69,329 14.1 67,754,436 21.6
...Speak English less than very well S115 29,448 6.0 25,921,267 8.3
..Spanish S116 46,937 9.6 41,254,941 13.2
...Speak English less than very well S117 17,969 3.7 16,299,869 5.2
..Other Indo-European languages S118 3,912 0.8 11,802,904 3.8
...Speak English less than very well S119 1,666 0.3 3,639,669 1.2
..Asian and Pacific Islander languages S120 14,812 3.0 10,915,574 3.5
...Speak English less than very well S121 8,772 1.8 4,884,562 1.6
..Other languages S122 3,668 0.7 3,781,017 1.2
...Speak English less than very well S123 1,041 0.2 1,097,167 0.4
     
ANCESTRY      
.Total population S124 523,828 100.0 331,893,745 100.0
..American S125 31,819 6.1 17,625,957 5.3
..Arab S126 4,011 0.8 2,222,769 0.7
..Czech S127 2,315 0.4 1,252,833 0.4
..Danish S128 1,667 0.3 1,122,719 0.3
..Dutch S129 3,641 0.7 3,083,041 0.9
..English S130 66,316 12.7 31,825,171 9.6
..French (except Basque) S131 8,364 1.6 6,448,506 1.9
..French Canadian S132 1,038 0.2 1,602,027 0.5
..German S133 108,733 20.8 42,220,180 12.7
..Greek S134 812 0.2 1,184,289 0.4
..Hungarian S135 650 0.1 1,221,273 0.4
..Irish S136 50,616 9.7 31,495,897 9.5
..Italian S137 8,806 1.7 15,947,138 4.8
..Lithuanian S138 96 0.0 573,618 0.2
..Norwegian S139 3,204 0.6 3,885,380 1.2
..Polish S140 4,958 0.9 8,237,026 2.5
..Portuguese S141 405 0.1 1,306,039 0.4
..Russian S142 2,654 0.5 2,407,434 0.7
..Scotch-Irish S143 5,557 1.1 2,495,113 0.8
..Scottish S144 10,069 1.9 5,244,788 1.6
..Slovak S145 250 0.0 594,844 0.2
..Subsaharan African S146 3,653 0.7 3,967,734 1.2
..Swedish S147 5,001 1.0 3,318,578 1.0
..Swiss S148 923 0.2 839,159 0.3
..Ukrainian S149 510 0.1 980,819 0.3
..Welsh S150 3,548 0.7 1,553,417 0.5
..West Indian (excluding Hispanic origin groups) S151 1,207 0.2 3,064,655 0.9
     
COMPUTERS AND INTERNET USE      
.Total households S152 203,656 100.0 127,544,730 100.0
..With a computer S153 196,990 96.7 121,224,032 95.0
..With a broadband Internet subscription S154 185,509 91.1 114,964,205 90.1


2.3. Economic Characteristics .. goto topics
.. labor force, employment by industry/occupation, income, commuting, health insurance, poverty characteristics
    and related economic attributes.
.. based on ACS 2021 1-year data (ACS). Negative cell value indicates NA.
ECONOMIC CHARACTERISTICS (DP3) ItemCode County Estimate County Percent U.S. Estimate U.S. Percent
EMPLOYMENT STATUS      
.Population 16 years and over E001 407,206 100.0 267,057,693 100.0
..In labor force E002 269,304 66.1 168,236,937 63.0
...Civilian labor force E003 266,436 65.4 166,900,336 62.5
....Employed E004 248,365 61.0 156,380,433 58.6
....Unemployed E005 18,071 4.4 10,519,903 3.9
...Armed Forces E006 2,868 0.7 1,336,601 0.5
..Not in labor force E007 137,902 33.9 98,820,756 37.0
     
.Civilian labor force E008 266,436 100.0 166,900,336 100.0
..Unemployment Rate E009 6.80   6.30  
     
.Females 16 years and over E010 207,019 100.0 135,931,305 100.0
..In labor force E011 127,879 61.8 79,347,771 58.4
...Civilian labor force E012 127,393 61.5 79,128,144 58.2
....Employed E013 119,919 57.9 74,173,887 54.6
     
.Own children of the householder under 6 years E014 37,455 100.0 21,632,850 100.0
..All parents in family in labor force E015 26,435 70.6 14,432,156 66.7
     
.Own children of the householder 6 to 17 years E016 87,792 100.0 48,027,938 100.0
..All parents in family in labor force E017 65,049 74.1 34,209,802 71.2
     
COMMUTING TO WORK      
.Workers 16 years and over E018 247,859 100.0 154,314,179 100.0
..Car, truck, or van -- drove alone E019 195,055 78.7 104,650,121 67.8
..Car, truck, or van -- carpooled E020 21,196 8.6 12,018,354 7.8
..Public transportation (excluding taxicab) E021 1,149 0.5 3,793,329 2.5
..Walked E022 2,764 1.1 3,399,405 2.2
..Other means E023 4,757 1.9 2,884,872 1.9
..Worked from home E024 22,938 9.3 27,568,098 17.9
     
..Mean travel time to work (minutes) E025 19.30   25.60  
     
OCCUPATION      
.Civilian employed population 16 years and over E026 248,365 100.0 156,380,433 100.0
..Management, business, science, and arts occupations E027 94,620 38.1 66,001,412 42.2
..Service occupations E028 40,604 16.3 25,151,071 16.1
..Sales and office occupations E029 54,286 21.9 31,329,510 20.0
..Natural resources, construction, and maintenance occupations E030 24,156 9.7 13,368,928 8.5
..Production, transportation, and material moving occupations E031 34,699 14.0 20,529,512 13.1
     
INDUSTRY      
.Civilian employed population 16 years and over E032 248,365 100.0 156,380,433 100.0
..Agriculture, forestry, fishing and hunting, and mining E033 1,603 0.6 2,445,458 1.6
..Construction E034 16,522 6.7 10,773,757 6.9
..Manufacturing E035 40,029 16.1 15,738,828 10.1
..Wholesale trade E036 6,293 2.5 3,616,410 2.3
..Retail trade E037 28,483 11.5 17,307,114 11.1
..Transportation and warehousing, and utilities E038 13,035 5.2 9,237,812 5.9
..Information E039 3,189 1.3 2,908,107 1.9
..Finance and insurance, and real estate and rental and leasing E040 12,224 4.9 10,659,331 6.8
..Professional, scientific, and management, and administrative and waste management services E041 24,379 9.8 19,360,141 12.4
..Educational services, and health care and social assistance E042 57,173 23.0 36,749,102 23.5
..Arts, entertainment, and recreation, and accommodation and food services E043 23,486 9.5 12,892,907 8.2
..Other services, except public administration E044 11,534 4.6 7,170,404 4.6
..Public administration E045 10,415 4.2 7,521,062 4.8
     
CLASS OF WORKER      
.Civilian employed population 16 years and over E046 248,365 100.0 156,380,433 100.0
..Private wage and salary workers E047 202,101 81.4 123,744,069 79.1
..Government workers E048 34,248 13.8 22,860,100 14.6
..Self-employed in own not incorporated business workers E049 11,760 4.7 9,481,077 6.1
..Unpaid family workers E050 256 0.1 295,187 0.2
     
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS)      
.Total households E051 203,656 100.0 127,544,730 100.0
..Less than $10,000 E052 11,336 5.6 7,689,277 6.0
..$10,000 to $14,999 E053 9,012 4.4 4,919,505 3.9
..$15,000 to $24,999 E054 16,166 7.9 9,567,549 7.5
..$25,000 to $34,999 E055 20,013 9.8 9,969,826 7.8
..$35,000 to $49,999 E056 26,846 13.2 14,364,338 11.3
..$50,000 to $74,999 E057 42,080 20.7 21,443,341 16.8
..$75,000 to $99,999 E058 27,107 13.3 16,276,811 12.8
..$100,000 to $149,999 E059 29,937 14.7 20,741,047 16.3
..$150,000 to $199,999 E060 11,732 5.8 10,096,604 7.9
..$200,000 or more E061 9,427 4.6 12,476,432 9.8
..Median household income (dollars) E062 60,364   69,717  
..Mean household income (dollars) E063 80,107   97,962  
     
..With earnings E064 160,310 78.7 98,177,629 77.0
...Mean earnings (dollars) E065 78,205   99,688  
..With Social Security E066 59,112 29.0 39,741,545 31.2
...Mean Social Security income (dollars) E067 22,480   21,152  
..With retirement income E068 49,889 24.5 30,669,175 24.0
...Mean retirement income (dollars) E069 24,682   29,628  
     
..With Supplemental Security Income E070 8,805 4.3 6,588,644 5.2
...Mean Supplemental Security Income (dollars) E071 9,771   10,230  
..With cash public assistance income E072 6,697 3.3 4,282,321 3.4
...Mean cash public assistance income (dollars) E073 5,029   5,240  
..With Food Stamp/SNAP benefits in the past 12 months E074 21,682 10.6 15,838,862 12.4
     
.Families E075 130,907 100.0 82,464,986 100.0
..Less than $10,000 E076 3,270 2.5 3,056,415 3.7
..$10,000 to $14,999 E077 2,626 2.0 1,667,928 2.0
..$15,000 to $24,999 E078 6,528 5.0 4,086,661 5.0
..$25,000 to $34,999 E079 8,822 6.7 5,117,957 6.2
..$35,000 to $49,999 E080 15,699 12.0 8,245,080 10.0
..$50,000 to $74,999 E081 29,138 22.3 13,648,681 16.6
..$75,000 to $99,999 E082 21,469 16.4 11,644,350 14.1
..$100,000 to $149,999 E083 24,248 18.5 16,152,982 19.6
..$150,000 to $199,999 E084 10,509 8.0 8,285,960 10.0
..$200,000 or more E085 8,598 6.6 10,558,972 12.8
..Median family income (dollars) E086 74,480   85,806  
..Mean family income (dollars) E087 97,024   115,522  
     
.Per capita income (dollars) E088 31,877   38,332  
     
.Nonfamily households E089 72,749 100.0 45,079,744 100.0
..Median nonfamily income (dollars) E090 33,847   41,549  
..Mean nonfamily income (dollars) E091 45,795   61,091  
     
.Median earnings for workers (dollars) E092 35,536   40,260  
.Median earnings for male full-time, year-round workers (dollars) E093 53,701   60,428  
.Median earnings for female full-time, year-round workers (dollars) E094 40,423   49,263  
     
HEALTH INSURANCE COVERAGE      
.Civilian noninstitutionalized population E095 517,015 100.0 326,912,547 100.0
..With health insurance coverage E096 459,370 88.9 298,685,665 91.4
...With private health insurance E097 351,525 68.0 219,074,507 67.0
...With public coverage E098 170,376 33.0 120,198,470 36.8
..No health insurance coverage E099 57,645 11.1 28,226,882 8.6
     
.Civilian noninstitutionalized population under 19 years E100 138,661 100.0 77,830,503 100.0
..No health insurance coverage E101 8,242 5.9 4,164,688 5.4
     
.Civilian noninstitutionalized population 19 to 64 years E102 299,129 100.0 194,340,102 100.0
..In labor force: E103 241,511 100.0 152,120,273 100.0
...Employed: E104 226,592 100.0 142,779,946 100.0
....With health insurance coverage E105 195,238 86.2 127,829,928 89.5
.....With private health insurance E106 185,694 82.0 116,136,040 81.3
.....With public coverage E107 16,685 7.4 16,087,515 11.3
....No health insurance coverage E108 31,354 13.8 14,950,018 10.5
...Unemployed: E109 14,919 100.0 9,340,327 100.0
....With health insurance coverage E110 8,708 58.4 7,048,775 75.5
.....With private health insurance E111 6,765 45.3 3,867,469 41.4
.....With public coverage E112 2,359 15.8 3,523,835 37.7
....No health insurance coverage E113 6,211 41.6 2,291,552 24.5
..Not in labor force: E114 57,618 100.0 42,219,829 100.0
...With health insurance coverage E115 46,090 80.0 35,844,186 84.9
....With private health insurance E116 32,283 56.0 21,241,038 50.3
....With public coverage E117 18,217 31.6 17,509,893 41.5
...No health insurance coverage E118 11,528 20.0 6,375,643 15.1
     
PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL      
.All families E119 8.8   9.1  
..With related children of the householder under 18 years E120 15.2   14.1  
...With related children of the householder under 5 years only E121 24.7   13.0  
..Married couple families E122 4.6   4.7  
...With related children of the householder under 18 years E123 7.4   6.2  
....With related children of the householder under 5 years only E124 5.8   4.8  
..Families with female householder, no spouse present E125 24.1   24.4  
...With related children of the householder under 18 years E126 32.7   33.7  
....With related children of the householder under 5 years only E127 67.1   37.9  
     
.All people E128 13.0   12.8  
..Under 18 years E129 17.8   16.9  
...Related children of the householder under 18 years E130 17.4   16.6  
....Related children of the householder under 5 years E131 24.3   18.3  
....Related children of the householder 5 to 17 years E132 15.1   16.1  
..18 years and over E133 11.4   11.6  
...18 to 64 years E134 12.1   11.9  
...65 years and over E135 8.8   10.3  
..People in families E136 10.4   10.0  
..Unrelated individuals 15 years and over E137 24.7   24.0  


2.4. Housing Situation.. goto topics

2.4.1. New Authorized Residential Construction.. goto topics

.. not available for this county .. goto topics


2.4.1a. New Authorized Residential Construction.. goto topics
Annual for County
Units in Structure2015201620172018201920202021
Single Family, Buildings 946 1,007 1,304 1,012 1,146 1,246 1,382
Single Family, Units 946 1,007 1,304 1,012 1,146 1,246 1,382
Single Family, Value 236,193 246,524 242,666 212,385 235,937 337,957 536,694
2 Unit, Buildings 175 140 142 214 206 153 341
2 Unit, Units 350 280 284 428 412 306 682
2 Unit, Value 29,359 24,286 24,375 35,917 34,762 29,938 71,323
3-4 Unit, Buildings 10 9 21 14 11 24 18
3-4 Unit, Units 37 28 74 53 37 85 60
3-4 Unit, Value 5,234 1,982 7,710 11,881 4,795 9,956 7,948
5+ Unit, Buildings 34 36 50 12 19 0 0
5+ Unit, Units 452 542 671 217 211 0 0
5+ Unit, Value 31,797 38,342 35,463 14,124 18,506 0 0


2.4.2. Housing Characteristics .. goto topics
.. units in structure, year built, year moved into unit, rooms in unit, vehicles available, occupancy/vacancy, owner/renter, value, rent characteristics
    and related housing attributes.
.. based on ACS 2021 1-year data (ACS). Negative cell value indicates NA.
HOUSING CHARACTERISTICS (DP4) ItemCode County Estimate County Percent U.S. Estimate U.S. Percent
HOUSING OCCUPANCY      
.Total housing units H001 225,434 100.0 142,148,050 100.0
..Occupied housing units H002 203,656 90.3 127,544,730 89.7
..Vacant housing units H003 21,778 9.7 14,603,320 10.3
     
..Homeowner vacancy rate H004 1.40   0.90  
..Rental vacancy rate H005 8.20   5.20  
     
UNITS IN STRUCTURE      
.Total housing units H006 225,434 100.0 142,148,050 100.0
..1-unit, detached H007 154,441 68.5 87,804,068 61.8
..1-unit, attached H008 12,948 5.7 8,823,839 6.2
..2 units H009 8,538 3.8 4,698,934 3.3
..3 or 4 units H010 8,736 3.9 6,069,239 4.3
..5 to 9 units H011 7,825 3.5 6,379,448 4.5
..10 to 19 units H012 11,386 5.1 5,996,065 4.2
..20 or more units H013 16,079 7.1 14,201,780 10.0
..Mobile home H014 5,249 2.3 8,008,783 5.6
..Boat, RV, van, etc. H015 232 0.1 165,894 0.1
     
YEAR STRUCTURE BUILT      
.Total housing units H016 225,434 100.0 142,148,050 100.0
..Built 2014 or later H017 882 0.4 1,073,629 0.8
..Built 2010 to 2013 H018 18,760 8.3 13,632,007 9.6
..Built 2000 to 2009 H019 28,585 12.7 19,697,259 13.9
..Built 1990 to 1999 H020 24,991 11.1 17,452,834 12.3
..Built 1980 to 1989 H021 29,773 13.2 18,532,262 13.0
..Built 1970 to 1979 H022 31,360 13.9 20,442,202 14.4
..Built 1960 to 1969 H023 17,176 7.6 14,202,613 10.0
..Built 1950 to 1959 H024 37,049 16.4 13,738,856 9.7
..Built 1940 to 1949 H025 17,749 7.9 6,474,803 4.6
..Built 1939 or earlier H026 19,109 8.5 16,901,585 11.9
     
ROOMS      
.Total housing units H027 225,434 100.0 142,148,050 100.0
..1 room H028 4,991 2.2 3,589,031 2.5
..2 rooms H029 5,401 2.4 4,350,654 3.1
..3 rooms H030 19,910 8.8 12,820,515 9.0
..4 rooms H031 29,990 13.3 22,251,103 15.7
..5 rooms H032 34,997 15.5 26,439,561 18.6
..6 rooms H033 37,049 16.4 24,927,199 17.5
..7 rooms H034 28,556 12.7 17,046,581 12.0
..8 rooms H035 25,197 11.2 12,894,229 9.1
..9 rooms or more H036 39,343 17.5 17,829,177 12.5
..Median rooms H037 6.0   5.6  
     
BEDROOMS      
.Total housing units H038 225,434 100.0 142,148,050 100.0
..No bedroom H039 5,529 2.5 3,959,211 2.8
..1 bedroom H040 24,750 11.0 15,384,897 10.8
..2 bedrooms H041 59,318 26.3 35,600,388 25.0
..3 bedrooms H042 78,492 34.8 55,386,244 39.0
..4 bedrooms H043 36,661 16.3 24,894,730 17.5
..5 or more bedrooms H044 20,684 9.2 6,922,580 4.9
     
HOUSING TENURE      
.Occupied housing units H045 203,656 100.0 127,544,730 100.0
..Owner-occupied H046 128,309 63.0 83,396,988 65.4
..Renter-occupied H047 75,347 37.0 44,147,742 34.6
     
..Average household size of owner-occupied unit H048 2.72   2.65  
..Average household size of renter-occupied unit H049 2.24   2.33  
     
YEAR HOUSEHOLDER MOVED INTO UNIT      
.Occupied housing units H050 203,656 100.0 127,544,730 100.0
..Moved in 2017 or later H051 64,274 31.6 34,784,732 27.3
..Moved in 2015 to 2016 H052 45,004 22.1 28,234,034 22.1
..Moved in 2010 to 2014 H053 25,546 12.5 16,462,478 12.9
..Moved in 2000 to 2009 H054 34,641 17.0 22,180,943 17.4
..Moved in 1990 to 1999 H055 18,910 9.3 12,938,673 10.1
..Moved in 1989 and earlier H056 15,281 7.5 12,943,870 10.1
     
VEHICLES AVAILABLE      
.Occupied housing units H057 203,656 100.0 127,544,730 100.0
..No vehicles available H058 11,045 5.4 10,263,494 8.0
..1 vehicle available H059 65,307 32.1 41,959,133 32.9
..2 vehicles available H060 76,836 37.7 47,337,486 37.1
..3 or more vehicles available H061 50,468 24.8 27,984,617 21.9
     
HOUSE HEATING FUEL      
.Occupied housing units H062 203,656 100.0 127,544,730 100.0
..Utility gas H063 133,111 65.4 59,246,257 46.5
..Bottled, tank, or LP gas H064 7,305 3.6 6,326,791 5.0
..Electricity H065 60,436 29.7 52,279,174 41.0
..Fuel oil, kerosene, etc. H066 706 0.3 5,218,757 4.1
..Coal or coke H067 0 100.0 95,160 100.0
..Wood H068 571 0.3 1,792,240 1.4
..Solar energy H069 0 100.0 362,346 100.0
..Other fuel H070 957 0.5 640,525 0.5
..No fuel used H071 570 0.3 1,583,480 1.2
     
SELECTED CHARACTERISTICS      
.Occupied housing units H072 203,656 100.0 127,544,730 100.0
..Lacking complete plumbing facilities H073 503 0.2 522,752 0.4
..Lacking complete kitchen facilities H074 1,224 0.6 1,027,179 0.8
..No telephone service available H075 2,003 1.0 1,152,803 0.9
     
OCCUPANTS PER ROOM      
.Occupied housing units H076 203,656 100.0 127,544,730 100.0
..1.00 or less H077 198,247 97.3 123,222,676 96.6
..1.01 to 1.50 H078 2,842 1.4 2,811,853 2.2
..1.51 or more H079 2,567 1.3 1,510,201 1.2
     
VALUE      
.Owner-occupied units H080 128,309 100.0 83,396,988 100.0
..Less than $50,000 H081 8,757 6.8 5,012,399 6.0
..$50,000 to $99,999 H082 21,235 16.5 6,591,730 7.9
..$100,000 to $149,999 H083 23,704 18.5 7,393,172 8.9
..$150,000 to $199,999 H084 23,746 18.5 9,312,599 11.2
..$200,000 to $299,999 H085 28,831 22.5 16,283,130 19.5
..$300,000 to $499,999 H086 16,445 12.8 20,456,170 24.5
..$500,000 to $999,999 H087 5,009 3.9 14,149,578 17.0
..$1,000,000 or more H088 582 0.5 4,198,210 5.0
..Median (dollars) H089 171,100   281,400  
     
MORTGAGE STATUS      
.Owner-occupied units H090 128,309 100.0 83,396,988 100.0
..Housing units with a mortgage H091 80,778 63.0 51,114,260 61.3
..Housing units without a mortgage H092 47,531 37.0 32,282,728 38.7
     
SELECTED MONTHLY OWNER COSTS (SMOC)      
.Housing units with a mortgage H093 80,778 100.0 51,114,260 100.0
..Less than $500 H094 779 1.0 610,377 1.2
..$500 to $999 H095 20,674 25.6 7,554,733 14.8
..$1,000 to $1,499 H096 28,550 35.3 13,171,613 25.8
..$1,500 to $1,999 H097 16,767 20.8 11,146,103 21.8
..$2,000 to $2,499 H098 7,594 9.4 7,205,428 14.1
..$2,500 to $2,999 H099 2,877 3.6 4,377,761 8.6
..$3,000 or more H100 3,537 4.4 7,048,245 13.8
..Median (dollars) H101 1,323   1,672  
     
.Housing units without a mortgage H102 47,531 100.0 32,282,728 100.0
..Less than $250 H103 2,962 6.2 3,275,543 10.1
..$250 to $399 H104 11,668 24.5 6,595,521 20.4
..$400 to $599 H105 16,534 34.8 8,756,466 27.1
..$600 to $799 H106 11,098 23.3 5,686,328 17.6
..$800 to $999 H107 3,106 6.5 3,229,527 10.0
..$1,000 or more H108 2,163 4.6 4,739,343 14.7
..Median (dollars) H109 512   539  
     
SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI)      
.Housing units with a mortgage (excluding units where SMOCAPI cannot be computed) H110 80,336 100.0 50,836,661 100.0
..Less than 20.0 percent H111 40,669 50.6 24,183,280 47.6
..20.0 to 24.9 percent H112 11,671 14.5 7,621,860 15.0
..25.0 to 29.9 percent H113 9,811 12.2 5,016,096 9.9
..30.0 to 34.9 percent H114 5,239 6.5 3,332,250 6.6
..35.0 percent or more H115 12,946 16.1 10,683,175 21.0
     
..Not computed H116 442 -1.0 277,599 -1.0
     
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed) H117 47,001 100.0 31,799,186 100.0
..Less than 10.0 percent H118 23,776 50.6 14,658,010 46.1
..10.0 to 14.9 percent H119 9,801 20.9 6,068,100 19.1
..15.0 to 19.9 percent H120 5,002 10.6 3,345,349 10.5
..20.0 to 24.9 percent H121 3,013 6.4 2,022,803 6.4
..25.0 to 29.9 percent H122 1,668 3.5 1,293,336 4.1
..30.0 to 34.9 percent H123 1,159 2.5 882,995 2.8
..35.0 percent or more H124 2,582 5.5 3,528,593 11.1
     
..Not computed H125 530 -1.0 483,542 -1.0
     
GROSS RENT      
.Occupied units paying rent H126 72,461 100.0 41,991,861 100.0
..Less than $500 H127 5,470 7.5 3,320,529 7.9
..$500 to $999 H128 42,271 58.3 12,202,521 29.1
..$1,000 to $1,499 H129 20,423 28.2 12,853,108 30.6
..$1,500 to $1,999 H130 3,929 5.4 7,483,407 17.8
..$2,000 to $2,499 H131 227 0.3 3,236,958 7.7
..$2,500 to $2,999 H132 0 100.0 1,310,696 100.0
..$3,000 or more H133 141 0.2 1,584,642 3.8
..Median (dollars) H134 868   1,191  
     
..No rent paid H135 2,886 -1.0 2,155,881 -1.0
     
GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI)      
.Occupied units paying rent (excluding units where GRAPI cannot be computed) H136 71,201 100.0 40,979,329 100.0
..Less than 15.0 percent H137 9,694 13.6 5,229,582 12.8
..15.0 to 19.9 percent H138 11,095 15.6 5,001,591 12.2
..20.0 to 24.9 percent H139 11,185 15.7 5,122,898 12.5
..25.0 to 29.9 percent H140 8,163 11.5 4,703,786 11.5
..30.0 to 34.9 percent H141 5,289 7.4 3,737,862 9.1
..35.0 percent or more H142 25,775 36.2 17,183,610 41.9
     
..Not computed H143 4,146 -1.0 3,168,413 -1.0


3.1 Industry by Sector Characteristics .. goto topics
Establishments, Employment, Wages QCEW -- 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 13,334 100.0 249,841 100.0 3,429,733,891 100.0 1,056
Total, Federal 10 1 74 0.6 4,777 1.9 84,545,234 2.5 1,362
Total, State 10 2 31 0.2 4,397 1.8 55,198,605 1.6 966
Total, Local 10 3 88 0.7 22,359 8.9 252,174,268 7.4 868
Total, Private 10 5 13,141 98.6 218,308 87.4 3,037,815,784 88.6 1,070
Agriculture, forestry, fishing and hunting 11 5 28 0.2 97 0.0 1,130,458 0.0 893
Crop production 111 5 14 0.1 59 0.0 500,445 0.0 649
Animal production 112 5 9 0.1 12 0.0 533,147 0.0 3,515
Agriculture and forestry support activities 115 5 5 0.0 26 0.0 96,866 0.0 283
Mining 21 5 84 0.6 436 0.2 15,811,757 0.5 2,790
Oil and gas extraction 211 5 54 0.4 224 0.1 12,391,958 0.4 4,262
Mining, except oil and gas 212 5 3 0.0 15 0.0 191,581 0.0 982
Support activities for mining 213 5 27 0.2 197 0.1 3,228,218 0.1 1,258
Utilities 22 3 6 0.0 0 0.0 0 0.0 0
Utilities 22 5 18 0.1 506 0.2 18,816,580 0.5 2,862
Utilities 221 3 6 0.0 0 0.0 0 0.0 0
Utilities 221 5 18 0.1 506 0.2 18,816,580 0.5 2,862
Construction 23 3 23 0.2 69 0.0 321,414 0.0 358
Construction 23 5 1,211 9.1 13,464 5.4 172,540,697 5.0 986
Construction of buildings 236 5 310 2.3 2,848 1.1 38,156,838 1.1 1,031
Heavy and civil engineering construction 237 3 23 0.2 69 0.0 321,414 0.0 358
Heavy and civil engineering construction 237 5 68 0.5 1,943 0.8 26,843,065 0.8 1,063
Specialty trade contractors 238 5 833 6.2 8,673 3.5 107,540,794 3.1 954
Manufacturing 31-33 5 582 4.4 42,231 16.9 835,956,985 24.4 1,523
Food manufacturing 311 5 33 0.2 2,071 0.8 29,364,997 0.9 1,091
Beverage and tobacco product manufacturing 312 5 7 0.1 333 0.1 4,012,768 0.1 928
Textile mills 313 5 2 0.0 0 0.0 0 0.0 0
Textile product mills 314 5 10 0.1 261 0.1 2,032,141 0.1 598
Apparel manufacturing 315 5 4 0.0 122 0.0 1,115,493 0.0 703
Wood product manufacturing 321 5 13 0.1 330 0.1 3,360,523 0.1 783
Paper manufacturing 322 5 2 0.0 0 0.0 0 0.0 0
Printing and related support activities 323 5 46 0.3 841 0.3 9,367,495 0.3 856
Petroleum and coal products manufacturing 324 5 7 0.1 633 0.3 10,275,944 0.3 1,249
Chemical manufacturing 325 5 23 0.2 1,105 0.4 19,069,544 0.6 1,327
Plastics and rubber products manufacturing 326 5 25 0.2 1,269 0.5 15,677,989 0.5 950
Nonmetallic mineral product manufacturing 327 5 19 0.1 468 0.2 5,509,328 0.2 905
Primary metal manufacturing 331 5 5 0.0 84 0.0 1,222,837 0.0 1,124
Fabricated metal product manufacturing 332 5 114 0.9 3,226 1.3 41,492,579 1.2 989
Machinery manufacturing 333 5 54 0.4 4,358 1.7 62,355,793 1.8 1,101
Computer and electronic product manufacturing 334 5 28 0.2 1,141 0.5 19,718,679 0.6 1,329
Electrical equipment and appliance manufacturing 335 5 7 0.1 480 0.2 6,602,483 0.2 1,059
Transportation equipment manufacturing 336 5 112 0.8 23,998 9.6 583,981,549 17.0 1,872
Furniture and related product manufacturing 337 5 15 0.1 274 0.1 3,002,803 0.1 843
Miscellaneous manufacturing 339 5 56 0.4 966 0.4 13,372,492 0.4 1,064
Wholesale trade 42 5 897 6.7 8,087 3.2 152,626,830 4.5 1,452
Merchant wholesalers, durable goods 423 5 556 4.2 5,510 2.2 96,379,686 2.8 1,345
Merchant wholesalers, nondurable goods 424 5 209 1.6 2,286 0.9 48,989,824 1.4 1,648
Electronic markets and agents and brokers 425 5 132 1.0 291 0.1 7,257,320 0.2 1,921
Retail trade 44-45 1 2 0.0 36 0.0 372,253 0.0 795
Retail trade 44-45 5 1,467 11.0 26,464 10.6 228,441,835 6.7 664
Motor vehicle and parts dealers 441 5 214 1.6 3,648 1.5 54,214,608 1.6 1,143
Building material and garden supply stores 444 5 119 0.9 2,766 1.1 27,030,911 0.8 752
Food and beverage stores 445 1 1 0.0 32 0.0 343,670 0.0 826
Food and beverage stores 445 5 203 1.5 4,776 1.9 31,960,106 0.9 515
Food and beverage stores 449 1 1 0.0 4 0.0 28,583 0.0 550
Food and beverage stores 449 5 144 1.1 1,762 0.7 18,084,116 0.5 789
Food and beverage stores 455 5 125 0.9 5,685 2.3 44,891,930 1.3 607
Food and beverage stores 456 5 153 1.1 1,644 0.7 14,401,931 0.4 674
Food and beverage stores 457 5 109 0.8 1,622 0.6 10,300,300 0.3 489
Food and beverage stores 458 5 152 1.1 1,623 0.6 8,862,574 0.3 420
Food and beverage stores 459 5 248 1.9 2,938 1.2 18,695,359 0.5 489
Transportation and warehousing 48-49 1 23 0.2 1,460 0.6 21,011,099 0.6 1,107
Transportation and warehousing 48-49 3 1 0.0 0 0.0 0 0.0 0
Transportation and warehousing 48-49 5 391 2.9 9,868 3.9 108,635,061 3.2 847
Air transportation 481 5 15 0.1 144 0.1 2,341,168 0.1 1,251
Truck transportation 484 5 195 1.5 2,118 0.8 29,079,669 0.8 1,056
Transit and ground passenger transportation 485 5 20 0.1 888 0.4 5,660,225 0.2 490
Pipeline transportation 486 5 5 0.0 0 0.0 0 0.0 0
Scenic and sightseeing transportation 487 5 1 0.0 0 0.0 0 0.0 0
Support activities for transportation 488 3 1 0.0 0 0.0 0 0.0 0
Support activities for transportation 488 5 87 0.7 1,848 0.7 29,807,489 0.9 1,241
Postal service 491 1 23 0.2 1,460 0.6 21,011,099 0.6 1,107
Couriers and messengers 492 5 39 0.3 1,706 0.7 16,932,277 0.5 764
Warehousing and storage 493 5 29 0.2 3,099 1.2 22,759,323 0.7 565
Information 51 1 1 0.0 6 0.0 43,485 0.0 528
Information 51 3 7 0.1 42 0.0 224,023 0.0 414
Information 51 5 244 1.8 3,579 1.4 65,322,931 1.9 1,404
Motion picture and sound recording industries 512 5 27 0.2 307 0.1 1,508,774 0.0 378
Motion picture and sound recording industries 513 5 95 0.7 784 0.3 17,589,180 0.5 1,726
Internet publishing and broadcasting 516 5 24 0.2 503 0.2 7,273,023 0.2 1,112
Telecommunications 517 5 37 0.3 1,817 0.7 35,196,281 1.0 1,490
ISPs, search portals, and data processing 518 5 56 0.4 151 0.1 3,543,087 0.1 1,809
Other information services 519 1 1 0.0 6 0.0 43,485 0.0 528
Other information services 519 3 7 0.1 42 0.0 224,023 0.0 414
Other information services 519 5 5 0.0 16 0.0 212,586 0.0 1,001
Finance and insurance 52 1 2 0.0 23 0.0 692,887 0.0 2,317
Finance and insurance 52 5 842 6.3 6,722 2.7 148,931,178 4.3 1,704
Monetary authorities - central bank 521 5 1 0.0 0 0.0 0 0.0 0
Credit intermediation and related activities 522 1 1 0.0 1 0.0 16,532 0.0 1,272
Credit intermediation and related activities 522 5 293 2.2 3,640 1.5 83,186,277 2.4 1,758
Securities, commodity contracts, investments 523 5 160 1.2 658 0.3 22,413,906 0.7 2,619
Insurance carriers and related activities 524 1 1 0.0 22 0.0 676,355 0.0 2,365
Insurance carriers and related activities 524 5 380 2.8 2,421 1.0 43,173,978 1.3 1,372
Funds, trusts, and other financial vehicles 525 5 8 0.1 0 0.0 0 0.0 0
Real estate and rental and leasing 53 3 1 0.0 0 0.0 0 0.0 0
Real estate and rental and leasing 53 5 541 4.1 3,524 1.4 40,220,785 1.2 878
Real estate 531 3 1 0.0 0 0.0 0 0.0 0
Real estate 531 5 460 3.4 2,543 1.0 27,745,749 0.8 839
Rental and leasing services 532 5 78 0.6 975 0.4 12,397,321 0.4 978
Lessors of nonfinancial intangible assets 533 5 3 0.0 6 0.0 77,715 0.0 996
Professional and technical services 54 1 2 0.0 25 0.0 573,929 0.0 1,766
Professional and technical services 54 2 2 0.0 0 0.0 0 0.0 0
Professional and technical services 54 5 1,718 12.9 11,402 4.6 212,116,234 6.2 1,431
Professional and technical services 541 1 2 0.0 25 0.0 573,929 0.0 1,766
Professional and technical services 541 2 2 0.0 0 0.0 0 0.0 0
Professional and technical services 541 5 1,718 12.9 11,402 4.6 212,116,234 6.2 1,431
Management of companies and enterprises 55 5 116 0.9 4,403 1.8 175,003,429 5.1 3,058
Management of companies and enterprises 551 5 116 0.9 4,403 1.8 175,003,429 5.1 3,058
Administrative and waste services 56 1 2 0.0 2 0.0 12,658 0.0 487
Administrative and waste services 56 3 1 0.0 0 0.0 0 0.0 0
Administrative and waste services 56 5 1,119 8.4 16,564 6.6 213,363,751 6.2 991
Administrative and support services 561 1 2 0.0 2 0.0 12,658 0.0 487
Administrative and support services 561 3 1 0.0 0 0.0 0 0.0 0
Administrative and support services 561 5 1,086 8.1 15,791 6.3 202,749,833 5.9 988
Waste management and remediation services 562 5 33 0.2 773 0.3 10,613,918 0.3 1,057
Educational services 61 1 1 0.0 1 0.0 9,742 0.0 749
Educational services 61 2 4 0.0 0 0.0 0 0.0 0
Educational services 61 3 13 0.1 15,207 6.1 165,016,529 4.8 835
Educational services 61 5 171 1.3 3,244 1.3 37,314,280 1.1 885
Educational services 611 1 1 0.0 1 0.0 9,742 0.0 749
Educational services 611 2 4 0.0 0 0.0 0 0.0 0
Educational services 611 3 13 0.1 15,207 6.1 165,016,529 4.8 835
Educational services 611 5 171 1.3 3,244 1.3 37,314,280 1.1 885
Health care and social assistance 62 1 4 0.0 1,544 0.6 28,950,507 0.8 1,442
Health care and social assistance 62 2 1 0.0 0 0.0 0 0.0 0
Health care and social assistance 62 5 1,438 10.8 34,273 13.7 415,317,110 12.1 932
Ambulatory health care services 621 5 970 7.3 13,976 5.6 217,159,326 6.3 1,195
Hospitals 622 1 1 0.0 1,482 0.6 28,577,789 0.8 1,483
Hospitals 622 5 33 0.2 7,736 3.1 106,189,379 3.1 1,056
Nursing and residential care facilities 623 5 101 0.8 5,054 2.0 44,382,052 1.3 675
Social assistance 624 1 3 0.0 62 0.0 372,718 0.0 460
Social assistance 624 2 1 0.0 0 0.0 0 0.0 0
Social assistance 624 5 334 2.5 7,506 3.0 47,586,353 1.4 488
Arts, entertainment, and recreation 71 1 3 0.0 12 0.0 61,849 0.0 408
Arts, entertainment, and recreation 71 3 5 0.0 0 0.0 0 0.0 0
Arts, entertainment, and recreation 71 5 156 1.2 3,706 1.5 18,326,803 0.5 380
Performing arts and spectator sports 711 5 45 0.3 393 0.2 2,351,021 0.1 461
Museums, historical sites, zoos, and parks 712 3 1 0.0 0 0.0 0 0.0 0
Museums, historical sites, zoos, and parks 712 5 13 0.1 341 0.1 2,142,632 0.1 483
Amusements, gambling, and recreation 713 1 3 0.0 12 0.0 61,849 0.0 408
Amusements, gambling, and recreation 713 3 4 0.0 0 0.0 0 0.0 0
Amusements, gambling, and recreation 713 5 98 0.7 2,972 1.2 13,833,150 0.4 358
Accommodation and food services 72 1 2 0.0 6 0.0 21,014 0.0 285
Accommodation and food services 72 5 1,141 8.6 23,346 9.3 112,879,148 3.3 372
Accommodation 721 1 1 0.0 6 0.0 21,014 0.0 285
Accommodation 721 5 97 0.7 1,773 0.7 12,100,594 0.4 525
Food services and drinking places 722 1 1 0.0 0 0.0 0 0.0 0
Food services and drinking places 722 5 1,044 7.8 21,573 8.6 100,778,554 2.9 359
Other services, except public administration 81 1 1 0.0 1 0.0 9,210 0.0 708
Other services, except public administration 81 3 2 0.0 0 0.0 0 0.0 0
Other services, except public administration 81 5 977 7.3 6,392 2.6 65,059,932 1.9 783
Repair and maintenance 811 1 1 0.0 1 0.0 9,210 0.0 708
Repair and maintenance 811 5 327 2.5 2,578 1.0 32,625,450 1.0 973
Personal and laundry services 812 3 2 0.0 0 0.0 0 0.0 0
Personal and laundry services 812 5 318 2.4 2,629 1.1 18,991,998 0.6 556
Membership associations and organizations 813 5 168 1.3 1,018 0.4 12,528,102 0.4 947
Private households 814 5 164 1.2 167 0.1 914,382 0.0 422
Public administration 92 1 31 0.2 1,661 0.7 32,786,601 1.0 1,518
Public administration 92 2 24 0.2 1,244 0.5 12,439,723 0.4 769
Public administration 92 3 29 0.2 6,600 2.6 83,083,037 2.4 968
Executive, legislative and general government 921 1 3 0.0 6 0.0 122,929 0.0 1,576
Executive, legislative and general government 921 2 5 0.0 100 0.0 957,843 0.0 739
Executive, legislative and general government 921 3 22 0.2 6,376 2.6 80,437,150 2.3 970
Justice, public order, and safety activities 922 1 10 0.1 219 0.1 5,566,650 0.2 1,958
Justice, public order, and safety activities 922 2 6 0.0 400 0.2 4,697,058 0.1 903
Justice, public order, and safety activities 922 3 1 0.0 0 0.0 0 0.0 0
Administration of human resource programs 923 1 2 0.0 88 0.0 1,764,272 0.1 1,536
Administration of human resource programs 923 2 5 0.0 0 0.0 0 0.0 0
Administration of environmental programs 924 1 3 0.0 13 0.0 218,784 0.0 1,295
Administration of environmental programs 924 2 1 0.0 0 0.0 0 0.0 0
Administration of environmental programs 924 3 3 0.0 0 0.0 0 0.0 0
Community and housing program administration 925 3 1 0.0 0 0.0 0 0.0 0
Administration of economic programs 926 1 9 0.1 426 0.2 9,308,510 0.3 1,681
Administration of economic programs 926 2 6 0.0 173 0.1 1,769,192 0.1 788
Administration of economic programs 926 3 2 0.0 0 0.0 0 0.0 0
National security and international affairs 928 1 4 0.0 909 0.4 15,805,456 0.5 1,338
National security and international affairs 928 2 1 0.0 0 0.0 0 0.0 0

4.1 Census Tract Demographic-Economic Characteristics .. goto topics
Thematic Pattern & Reference Maps for Sedgwick County, KS & Vicinity
View patterns of economic prosperity by block group for this area using the Visual Data Analytics (
VDA) Web GIS.

Follow these steps:
  • Sign in and choose the "MetroDynamics" GIS project.
  • Click this link to start VDA .. the map interface opens in a new window.
  • In upper right, above map window of VDA page, enter the "County" code 20173 .. key the code into the edit box.
  • Clicking the Query button, the map window refreshes with the zoom to county view.
  • Use Zoom buttons (or zoom by mouse window) to preferred view.

Illustrative Views
Fresno County, CA (using code 06019 in VDA County query):




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