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

Metro Counties and Population Change; 2010-2030
Jackson County, MO is part of the Kansas City, MO-KS metro/CBSA (28140).
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
  Johnson County, KS545,681610,536613,219615,830636,71864,85511.926,1824.3
  Leavenworth County, KS76,53681,87082,18482,31283,3365,3347.01,4661.8
  Linn County, KS9,6249,5829,7479,81310,341-42-0.47597.9
  Miami County, KS32,88234,18334,59334,78536,3171,3014.02,1346.2
  Wyandotte County, KS157,636168,873167,046165,381152,05711,2377.1-16,817-10.0
  Bates County, MO17,02616,04416,10516,14316,443-982-5.83992.5
  Caldwell County, MO9,4288,8068,8978,9269,154-622-6.63483.9
  Cass County, MO99,756108,113109,638110,984121,7528,3578.413,63912.6
  Clay County, MO222,649253,923255,518257,453272,93331,27414.019,0107.5
  Clinton County, MO20,74021,20421,28721,36922,0214642.28173.9
  Jackson County, MO674,854717,243716,862716,675715,17542,3896.3-2,069-0.3
  Lafayette County, MO33,38033,00132,81732,76332,327-379-1.1-675-2.0
  Platte County, MO89,714107,100108,569110,063122,01117,38619.414,91113.9
  Ray County, MO23,51723,10023,00822,84721,555-417-1.8-1,546-6.7

Residential Construction. August 2022 new authorized residential construction was 416 total units with total value of $75,956,196 compared to August 2021 228 total units with total value of $57,493,457. 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 312,185 (2010) to 331,034 (2020), a change of 18,849 (6.0%). 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 Jackson County, MO changed from 674,854 (2010) to 705,925 (2020), a change of 31,071 (4.6%).

Components of population change during the 2010-2020 period were births 93,609, deaths 63,226, and net migration 1,146. The population natural increase, births less deaths, was 30,383.

The 7/1/20 model-based population estimate was 717,243 compared to the 7/1/21 model-based population estimate of 716,862. Components of change over the year were births 8,648, deaths 7,892, international migration 449, domestic migration -1,732. The net migration was -1,283. The natural increase was 756.

Income. The median household income changed from $44,620 in 2010 to $56,398, a change of $11,778 ( 26.4%).

Poverty. The number of people in poverty (all ages) changed from 111,816 in 2010 to 86,479, a change of -25,337 ( -22.7%). The poverty rate (all ages) changed from 16.8 in 2010 to 12.4, a change of -4.4 ( -26.2%).

Kansas City city .. the largest city in Jackson County, MO. The 7/1/20 model-based population estimate of Kansas City city was 507,969 compared to the 7/1/21 model-based population estimate of 507,932, a change of -37 or 0.0%. See more about Kansas City 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.

Jackson 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$44,62038,77123.9162,07824,13821.0114,796111,81616.8664,667
2011$44,50844,03127.2161,85227,56124.2114,082124,81418.7665,685
2012$44,63443,75527.3160,45927,05023.8113,773124,51318.7666,122
2013$46,80238,80324.3159,78126,28523.2113,308114,94217.2668,988
2014$46,18537,67223.5160,16623,64720.8113,745111,13016.5671,929
2015$48,36440,39625.0161,73326,91323.3115,380119,42117.6677,039
2016$50,82237,56323.2162,25525,36222.0115,404105,69715.5681,112
2017$52,58533,52820.7161,94323,70520.5115,55394,91013.8687,745
2018$55,86430,54119.0161,10620,46917.7115,37489,78713.0689,323
2019$57,90731,36719.6160,24821,26518.4115,63894,82313.7691,832
2020$56,39826,61216.6160,28618,32315.8116,08486,47912.4695,379

Missouri
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$44,306293,85621.01,396,566186,63318.51,010,426888,47115.35,817,777
2011$45,231308,39022.31,384,526201,23120.1999,034922,10315.85,831,548
2012$45,320310,38222.61,371,363205,17320.6995,317945,43516.25,838,007
2013$46,905303,92322.21,367,104203,21620.5992,402928,77815.85,861,018
2014$48,288289,28721.31,360,550192,09919.5987,447908,39415.55,878,633
2015$50,200277,68720.41,362,505187,31618.9990,371875,70414.85,901,975
2016$51,713260,86719.21,358,481171,75017.5983,225826,35814.05,911,099
2017$53,506249,82918.51,350,847168,09917.2978,732793,00113.45,928,578
2018$54,412245,70318.31,345,718166,72317.1976,576785,34313.25,943,697
2019$57,375227,82817.01,337,402154,86915.9974,094766,23812.95,953,071
2020$58,812208,41015.51,340,849144,70814.8978,528725,11712.15,979,186

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 Jackson County, MO to other areas using this interactive table.

Examine GDP components and compare Jackson County, MO to other areas using this interactive table.

02. How & Why Jackson County, MO is Changing .. goto topics
Jackson County, MO (29095), part of Kansas City, MO-KS MSA (28140), changed in population from 674,854 (2010) to 705,925 (2020), a change of 31,071 (4.6%).
Factors accounting the change over the decade 2010 to 2020 include:
  • Births 2010-2020: 93,609
  • Deaths 2010-2020: 63,226
  • Natural Increase 2010-2020: 30,383
  • Net Migration 2010-2020: 1,146

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

Population 7/1/20 717,243
  Births 6/30/19-7/1/20 8,540
  Deaths 6/30/19-7/1/20 7,468
  Natural Increase 6/30/19-7/1/20 1,072
  International Migration 6/30/19-7/1/20 44
  Domestic Migration 6/30/19-7/1/20 -964
  Net Migration 6/30/19-7/1/20 -920
 
Population 7/1/21 716,862
  Births 6/30/20-7/1/21 8,648
  Deaths 6/30/20-7/1/21 7,892
  Natural Increase 6/30/20-7/1/21 756
  International Migration 6/30/20-7/1/21 449
  Domestic Migration 6/30/20-7/1/21 -1,732
  Net Migration 6/30/20-7/1/21 -1,283

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
Jackson County, MO .. 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 674,158 100.0 717,204 100.0 43,046 6.4
  One race 653,472 96.9 652,019 90.9 -1,453 -0.2
    White alone 451,073 66.9 435,820 60.8 -15,253 -3.4
    Black alone 161,367 23.9 158,559 22.1 -2,808 -1.7
    American India/Alaskan Native alone 3,352 0.5 4,410 0.6 1,058 31.6
    Asian alone 10,755 1.6 15,201 2.1 4,446 41.3
    Native Hawaiian and Other Pacific Islander alone 1,610 0.2 1,811 0.3 201 12.5
    Other race 25,315 3.8 36,218 5.0 10,903 43.1
  Two or more races 20,686 3.1 65,185 9.1 44,499 215.1
  White, Non-Hispanic 426,574 63.3 419,542 58.5 -7,032 -1.6
  Black Non-Hispanic 159,442 23.7 156,542 21.8 -2,900 -1.8
  Hispanic (of any race) 56,434 8.4 77,785 10.8 21,351 37.8
Total population, 18 years or older 508,523 75.4 554,167 77.3 45,644 9.0
  One race 498,462 73.9 512,982 71.5 14,520 2.9
    White alone 356,840 52.9 355,356 49.5 -1,484 -0.4
    Black alone 113,648 16.9 116,314 16.2 2,666 2.3
    American India/Alaskan Native alone 2,570 0.4 3,486 0.5 916 35.6
    Asian alone 8,324 1.2 12,129 1.7 3,805 45.7
    Native Hawaiian and Other Pacific Islander alone 1,097 0.2 1,319 0.2 222 20.2
    Other race 15,983 2.4 24,378 3.4 8,395 52.5
  Two or more races 10,061 1.5 41,185 5.7 31,124 309.4
  White, Non-Hispanic 341,185 50.6 344,954 48.1 3,769 1.1
  Black Non-Hispanic 112,632 16.7 115,242 16.1 2,610 2.3
  Hispanic (of any race) 35,017 5.2 50,822 7.1 15,805 45.1
Group Quarters population 11,219 1.7 11,204 1.6 -15 -0.1
  Group Quarters, institutionalized population 6,310 0.9 6,421 0.9 111 1.8
  Group Quarters, noninstitutionalized population 4,909 0.7 4,783 0.7 -126 -2.6
Housing Units 312,105 100.0 329,579 100.0 17,474 5.6
  Occupied 274,804 88.0 297,580 90.3 22,776 8.3
  Vacant 37,301 12.0 31,999 9.7 -5,302 -14.2


1.1 Population & Components of Change .. goto topics
Based on Census Bureau model-based population estimates, the Jackson County, MO population changed from 674,854 in 2010 to 705,925 in 2020, a change of 31,071 (4.6%).
Population/Component 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Population 674,854 675,644 677,570 680,063 683,334 687,182 692,812 698,768 701,809 704,350 705,925
Births 2,442 9,581 9,674 9,473 9,658 9,401 9,315 9,348 9,316 8,930 8,913
Deaths 1,445 6,117 6,038 6,146 6,090 6,219 6,219 6,407 6,414 6,455 7,121
Natural Increase 997 3,464 3,636 3,327 3,568 3,182 3,096 2,941 2,902 2,475 1,792
Net Migration -235 -2,670 -1,597 -725 -148 755 2,546 3,018 161 56 -250
    International 185 1,007 707 586 614 1,087 626 1,165 844 914 729
    Domestic 729 -420 -3,677 -2,304 -1,311 -762 -332 1,920 1,853 -683 -858
Group Quarters 11,219 11,218 11,219 11,242 11,312 10,997 11,127 11,064 11,062 11,001 10,935

Examine population estimates/components of change and compare Jackson County, MO 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
Blue Springs city 2906652 52,657 52,754 52,977 53,149 53,462 53,998 54,387 54,861 55,126 55,829  
Independence city (part) 2935000 116,891 116,917 117,318 117,281 117,505 117,260 117,268 117,197 117,017 116,672  
Levasy city 2941762 83 83 83 83 83 83 83 83 83 82  
River Bend village 2962056 10 10 10 10 10 10 10 10 10 10  
Pleasant Hill city (part) 2958394 6 6 6 6 6 6 6 6 6 6  
Greenwood city (part) 2929494 5,225 5,245 5,308 5,384 5,474 5,560 5,655 5,731 5,781 5,831  
Buckner city 2909424 3,077 3,074 3,073 3,073 3,068 3,063 3,059 3,053 3,036 3,022  
Grain Valley city 2928090 12,876 12,953 13,022 13,114 13,235 13,370 13,701 13,969 14,275 14,526  
Grandview city 2928324 24,488 24,526 24,569 25,246 25,266 25,204 25,172 25,125 24,976 24,856  
Kansas City city (part) 2938000 302,776 302,764 303,272 304,114 305,679 307,827 311,320 314,841 315,916 316,836  
Lake Lotawana city 2939980 1,940 1,949 1,951 1,951 1,981 1,994 2,026 2,073 2,084 2,109  
Lake Tapawingo city 2940196 730 728 727 727 725 724 726 725 722 719  
Lee's Summit city (part) 2941348 89,592 89,981 90,427 91,008 91,755 92,874 94,000 95,121 96,438 97,251  
Lone Jack city 2943760 1,052 1,063 1,065 1,072 1,086 1,128 1,166 1,230 1,302 1,323  
Oak Grove city (part) 2953624 7,799 7,810 7,838 7,840 7,860 7,882 7,954 8,063 8,150 8,158  
Raytown city 2960788 29,623 29,605 29,604 29,561 29,529 29,444 29,389 29,327 29,154 28,991  
Sibley village 2967718 354 354 358 357 357 359 362 364 365 366  
Unity Village village 2975202 75 75 75 75 75 75 75 74 73 73  
Balance of Jackson County 2999990 22,252 22,322 22,398 22,458 22,530 22,606 22,764 22,918 22,990 23,091  
Sugar Creek city (part) 2971368 3,339 3,334 3,336 3,332 3,328 3,316 3,307 3,301 3,280 3,260  

Examine city/place population estimates and compare places in Jackson County, MO to other areas using this interactive table.
.. use the county code 29095 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 810 mover partner areas for Jackson County, MO. There were a total inbound movers of 39960 and a total outbound movers of 46556, for a net movers of -8588 (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_29095.dbf.
Residence 1 Year Age Geocode Moved to 29095 Moved from 29095 Net Movers
Africa null 276 null null
Asia null 942 null null
Central America null 184 null null
Caribbean null 129 null null
Europe null 285 null null
U.S. Island Areas null 10 null null
Northern America null 79 null null
Oceania and At Sea null 27 null null
South America null 60 null null
Barbour County, Alabama 01005 0 4 -4
Bibb County, Alabama 01007 0 5 -5
Calhoun County, Alabama 01015 0 20 -20
Colbert County, Alabama 01033 0 1 -1
Dale County, Alabama 01045 0 4 -4
Jackson County, Alabama 01071 43 0 43
Jefferson County, Alabama 01073 100 0 100
Macon County, Alabama 01087 0 1 -1
Madison County, Alabama 01089 28 6 22
Mobile County, Alabama 01097 0 16 -16
Montgomery County, Alabama 01101 0 13 -13
Wilcox County, Alabama 01131 0 9 -9
Anchorage Municipality, Alaska 02020 6 20 -14
Matanuska-Susitna Borough, Alaska 02170 30 0 30
North Slope Borough, Alaska 02185 0 1 -1
Coconino County, Arizona 04005 0 20 -20
Graham County, Arizona 04009 0 16 -16
Maricopa County, Arizona 04013 252 285 -33
Navajo County, Arizona 04017 0 29 -29
Pima County, Arizona 04019 47 37 10
Pinal County, Arizona 04021 0 23 -23
Yavapai County, Arizona 04025 46 14 32
Yuma County, Arizona 04027 12 0 12
Arkansas County, Arkansas 05001 0 27 -27
Ashley County, Arkansas 05003 6 0 6
Baxter County, Arkansas 05005 23 0 23
Benton County, Arkansas 05007 14 40 -26
Chicot County, Arkansas 05017 0 8 -8
Crittenden County, Arkansas 05035 13 0 13
Faulkner County, Arkansas 05045 9 0 9
Greene County, Arkansas 05055 0 5 -5
Jefferson County, Arkansas 05069 0 40 -40
Mississippi County, Arkansas 05093 42 0 42
Pope County, Arkansas 05115 8 0 8
Pulaski County, Arkansas 05119 103 116 -13
Saline County, Arkansas 05125 27 0 27
Sebastian County, Arkansas 05131 0 30 -30
Washington County, Arkansas 05143 79 0 79
Alameda County, California 06001 17 60 -43
Contra Costa County, California 06013 224 84 140
Fresno County, California 06019 24 0 24
Kern County, California 06029 29 0 29
Los Angeles County, California 06037 82 389 -307
Mendocino County, California 06045 11 0 11
Orange County, California 06059 244 24 220
Placer County, California 06061 0 75 -75
Riverside County, California 06065 73 19 54
Sacramento County, California 06067 62 193 -131
San Bernardino County, California 06071 52 34 18
San Diego County, California 06073 65 120 -55
San Francisco County, California 06075 44 13 31
San Joaquin County, California 06077 90 0 90
San Luis Obispo County, California 06079 2 0 2
San Mateo County, California 06081 51 12 39
Santa Clara County, California 06085 6 0 6
Shasta County, California 06089 0 1 -1
Solano County, California 06095 7 0 7
Stanislaus County, California 06099 0 24 -24
Tulare County, California 06107 21 0 21
Ventura County, California 06111 13 8 5
Adams County, Colorado 08001 35 50 -15
Arapahoe County, Colorado 08005 49 33 16
Bent County, Colorado 08011 0 2 -2
Boulder County, Colorado 08013 0 47 -47
Broomfield County, Colorado 08014 23 28 -5
Chaffee County, Colorado 08015 0 14 -14
Denver County, Colorado 08031 186 275 -89
Douglas County, Colorado 08035 42 24 18
El Paso County, Colorado 08041 220 455 -235
Fremont County, Colorado 08043 23 0 23
Garfield County, Colorado 08045 31 0 31
Grand County, Colorado 08049 0 15 -15
Jefferson County, Colorado 08059 30 52 -22
Larimer County, Colorado 08069 86 202 -116
Mesa County, Colorado 08077 16 30 -14
Montrose County, Colorado 08085 24 10 14
Park County, Colorado 08093 15 0 15
Teller County, Colorado 08119 11 0 11
Weld County, Colorado 08123 14 58 -44
Fairfield County, Connecticut 09001 18 4 14
Middlesex County, Connecticut 09007 4 6 -2
New Haven County, Connecticut 09009 16 0 16
New London County, Connecticut 09011 0 1 -1
District of Columbia, District of Columbia 11001 78 77 1
Alachua County, Florida 12001 0 57 -57
Brevard County, Florida 12009 191 20 171
Collier County, Florida 12021 24 33 -9
Duval County, Florida 12031 41 40 1
Escambia County, Florida 12033 0 112 -112
Hernando County, Florida 12053 0 13 -13
Hillsborough County, Florida 12057 73 43 30
Indian River County, Florida 12061 0 49 -49
Lee County, Florida 12071 0 148 -148
Leon County, Florida 12073 24 12 12
Manatee County, Florida 12081 0 47 -47
Miami-Dade County, Florida 12086 40 0 40
Monroe County, Florida 12087 0 20 -20
Okaloosa County, Florida 12091 16 0 16
Orange County, Florida 12095 7 0 7
Palm Beach County, Florida 12099 0 25 -25
Pasco County, Florida 12101 0 21 -21
Pinellas County, Florida 12103 67 151 -84
Polk County, Florida 12105 20 0 20
St. Johns County, Florida 12109 0 29 -29
Santa Rosa County, Florida 12113 19 6 13
Seminole County, Florida 12117 45 0 45
Volusia County, Florida 12127 28 49 -21
Bibb County, Georgia 13021 53 0 53
Bulloch County, Georgia 13031 0 7 -7
Chatham County, Georgia 13051 0 6 -6
Cherokee County, Georgia 13057 0 17 -17
Clarke County, Georgia 13059 0 26 -26
Cobb County, Georgia 13067 43 0 43
DeKalb County, Georgia 13089 13 16 -3
Fayette County, Georgia 13113 4 0 4
Fulton County, Georgia 13121 102 127 -25
Glynn County, Georgia 13127 13 0 13
Gwinnett County, Georgia 13135 14 19 -5
Hall County, Georgia 13139 0 28 -28
Henry County, Georgia 13151 29 0 29
McIntosh County, Georgia 13191 0 19 -19
Muscogee County, Georgia 13215 0 5 -5
Paulding County, Georgia 13223 0 14 -14
Sumter County, Georgia 13261 0 25 -25
Toombs County, Georgia 13279 0 15 -15
Hawaii County, Hawaii 15001 39 0 39
Honolulu County, Hawaii 15003 35 51 -16
Ada County, Idaho 16001 10 28 -18
Kootenai County, Idaho 16055 0 13 -13
Teton County, Idaho 16081 0 133 -133
Twin Falls County, Idaho 16083 11 0 11
Bond County, Illinois 17005 1 0 1
Champaign County, Illinois 17019 5 0 5
Clinton County, Illinois 17027 14 0 14
Cook County, Illinois 17031 355 244 111
De Witt County, Illinois 17039 15 0 15
DuPage County, Illinois 17043 32 0 32
Franklin County, Illinois 17055 0 14 -14
Jackson County, Illinois 17077 23 0 23
Kane County, Illinois 17089 0 50 -50
Kankakee County, Illinois 17091 5 0 5
Lake County, Illinois 17097 238 29 209
Livingston County, Illinois 17105 0 17 -17
Macon County, Illinois 17115 13 9 4
Madison County, Illinois 17119 40 0 40
Peoria County, Illinois 17143 6 0 6
Perry County, Illinois 17145 0 37 -37
Rock Island County, Illinois 17161 0 5 -5
St. Clair County, Illinois 17163 22 0 22
Saline County, Illinois 17165 0 14 -14
Tazewell County, Illinois 17179 0 29 -29
Vermilion County, Illinois 17183 9 0 9
Will County, Illinois 17197 8 8 0
Winnebago County, Illinois 17201 34 0 34
Allen County, Indiana 18003 0 58 -58
Bartholomew County, Indiana 18005 20 0 20
Brown County, Indiana 18013 5 16 -11
Clark County, Indiana 18019 6 0 6
Delaware County, Indiana 18035 0 51 -51
Gibson County, Indiana 18051 5 0 5
Hendricks County, Indiana 18063 0 36 -36
Madison County, Indiana 18095 0 7 -7
Marion County, Indiana 18097 232 5 227
Monroe County, Indiana 18105 18 23 -5
Montgomery County, Indiana 18107 124 0 124
Porter County, Indiana 18127 19 0 19
St. Joseph County, Indiana 18141 8 26 -18
Tippecanoe County, Indiana 18157 7 0 7
Vanderburgh County, Indiana 18163 62 117 -55
Vigo County, Indiana 18167 11 0 11
Wells County, Indiana 18179 0 20 -20
Whitley County, Indiana 18183 34 0 34
Adams County, Iowa 19003 0 1 -1
Appanoose County, Iowa 19007 0 4 -4
Benton County, Iowa 19011 0 9 -9
Black Hawk County, Iowa 19013 132 0 132
Buena Vista County, Iowa 19021 0 13 -13
Cass County, Iowa 19029 0 4 -4
Clayton County, Iowa 19043 0 9 -9
Crawford County, Iowa 19047 0 7 -7
Dallas County, Iowa 19049 5 17 -12
Decatur County, Iowa 19053 6 32 -26
Dubuque County, Iowa 19061 17 0 17
Hamilton County, Iowa 19079 0 5 -5
Hardin County, Iowa 19083 0 7 -7
Jasper County, Iowa 19099 0 10 -10
Jefferson County, Iowa 19101 50 0 50
Johnson County, Iowa 19103 11 0 11
Kossuth County, Iowa 19109 0 4 -4
Linn County, Iowa 19113 0 4 -4
Marshall County, Iowa 19127 7 0 7
Mills County, Iowa 19129 0 6 -6
Montgomery County, Iowa 19137 19 0 19
Muscatine County, Iowa 19139 25 0 25
Polk County, Iowa 19153 295 95 200
Pottawattamie County, Iowa 19155 5 0 5
Poweshiek County, Iowa 19157 0 8 -8
Scott County, Iowa 19163 25 87 -62
Story County, Iowa 19169 86 33 53
Wapello County, Iowa 19179 0 4 -4
Warren County, Iowa 19181 0 10 -10
Washington County, Iowa 19183 9 0 9
Wayne County, Iowa 19185 6 0 6
Webster County, Iowa 19187 0 22 -22
Winnebago County, Iowa 19189 0 1 -1
Woodbury County, Iowa 19193 0 3 -3
Wright County, Iowa 19197 0 15 -15
Allen County, Kansas 20001 0 14 -14
Anderson County, Kansas 20003 0 10 -10
Atchison County, Kansas 20005 29 65 -36
Barton County, Kansas 20009 0 2 -2
Bourbon County, Kansas 20011 0 43 -43
Brown County, Kansas 20013 0 23 -23
Butler County, Kansas 20015 0 20 -20
Chase County, Kansas 20017 0 1 -1
Cheyenne County, Kansas 20023 0 1 -1
Cowley County, Kansas 20035 6 14 -8
Crawford County, Kansas 20037 38 81 -43
Dickinson County, Kansas 20041 0 7 -7
Doniphan County, Kansas 20043 0 65 -65
Douglas County, Kansas 20045 887 609 278
Ellis County, Kansas 20051 80 0 80
Ellsworth County, Kansas 20053 0 8 -8
Finney County, Kansas 20055 12 4 8
Franklin County, Kansas 20059 31 19 12
Geary County, Kansas 20061 47 6 41
Grant County, Kansas 20067 0 21 -21
Greenwood County, Kansas 20073 0 10 -10
Harvey County, Kansas 20079 85 0 85
Jackson County, Kansas 20085 0 3 -3
Jefferson County, Kansas 20087 28 0 28
Johnson County, Kansas 20091 5632 7661 -2029
Kearny County, Kansas 20093 0 1 -1
Kiowa County, Kansas 20097 0 17 -17
Labette County, Kansas 20099 18 0 18
Leavenworth County, Kansas 20103 259 372 -113
Linn County, Kansas 20107 0 6 -6
Lyon County, Kansas 20111 26 7 19
McPherson County, Kansas 20113 0 52 -52
Marion County, Kansas 20115 0 2 -2
Marshall County, Kansas 20117 0 3 -3
Miami County, Kansas 20121 5 54 -49
Montgomery County, Kansas 20125 11 11 0
Morris County, Kansas 20127 0 13 -13
Ness County, Kansas 20135 7 0 7
Norton County, Kansas 20137 29 4 25
Osage County, Kansas 20139 45 2 43
Ottawa County, Kansas 20143 0 4 -4
Pawnee County, Kansas 20145 0 7 -7
Reno County, Kansas 20155 11 10 1
Rice County, Kansas 20159 0 16 -16
Riley County, Kansas 20161 102 56 46
Rooks County, Kansas 20163 0 3 -3
Saline County, Kansas 20169 26 20 6
Scott County, Kansas 20171 0 4 -4
Sedgwick County, Kansas 20173 511 102 409
Shawnee County, Kansas 20177 168 161 7
Sumner County, Kansas 20191 0 17 -17
Wabaunsee County, Kansas 20197 0 5 -5
Washington County, Kansas 20201 0 4 -4
Wilson County, Kansas 20205 0 9 -9
Wyandotte County, Kansas 20209 1124 1972 -848
Boone County, Kentucky 21015 0 7 -7
Campbell County, Kentucky 21037 15 44 -29
Edmonson County, Kentucky 21061 0 7 -7
Fayette County, Kentucky 21067 0 39 -39
Jefferson County, Kentucky 21111 0 68 -68
McCreary County, Kentucky 21147 0 17 -17
Marion County, Kentucky 21155 0 2 -2
Meade County, Kentucky 21163 0 17 -17
Rowan County, Kentucky 21205 23 0 23
Shelby County, Kentucky 21211 71 0 71
Trigg County, Kentucky 21221 0 9 -9
Warren County, Kentucky 21227 0 2 -2
Whitley County, Kentucky 21235 0 5 -5
Wolfe County, Kentucky 21237 0 36 -36
Bossier Parish, Louisiana 22015 0 25 -25
Caddo Parish, Louisiana 22017 24 9 15
Concordia Parish, Louisiana 22029 0 3 -3
East Baton Rouge Parish, Louisiana 22033 6 8 -2
Lafayette Parish, Louisiana 22055 0 29 -29
Lincoln Parish, Louisiana 22061 20 0 20
Cumberland County, Maine 23005 0 20 -20
Anne Arundel County, Maryland 24003 152 0 152
Baltimore County, Maryland 24005 33 12 21
Frederick County, Maryland 24021 25 0 25
Montgomery County, Maryland 24031 24 31 -7
Prince George's County, Maryland 24033 0 6 -6
Talbot County, Maryland 24041 0 65 -65
Baltimore city, Maryland 24510 0 6 -6
Barnstable County, Massachusetts 25001 0 8 -8
Hampden County, Massachusetts 25013 64 0 64
Middlesex County, Massachusetts 25017 71 33 38
Norfolk County, Massachusetts 25021 35 0 35
Suffolk County, Massachusetts 25025 41 53 -12
Worcester County, Massachusetts 25027 50 0 50
Calhoun County, Michigan 26025 0 5 -5
Clinton County, Michigan 26037 0 38 -38
Eaton County, Michigan 26045 145 0 145
Grand Traverse County, Michigan 26055 0 22 -22
Hillsdale County, Michigan 26059 0 84 -84
Ingham County, Michigan 26065 15 17 -2
Isabella County, Michigan 26073 5 0 5
Jackson County, Michigan 26075 0 7 -7
Kent County, Michigan 26081 0 9 -9
Macomb County, Michigan 26099 0 59 -59
Oakland County, Michigan 26125 0 38 -38
Ottawa County, Michigan 26139 0 31 -31
Saginaw County, Michigan 26145 46 0 46
Tuscola County, Michigan 26157 0 13 -13
Wayne County, Michigan 26163 29 45 -16
Aitkin County, Minnesota 27001 0 4 -4
Anoka County, Minnesota 27003 10 50 -40
Benton County, Minnesota 27009 20 0 20
Chisago County, Minnesota 27025 0 90 -90
Dodge County, Minnesota 27039 6 3 3
Goodhue County, Minnesota 27049 0 3 -3
Hennepin County, Minnesota 27053 97 57 40
McLeod County, Minnesota 27085 0 7 -7
Morrison County, Minnesota 27097 0 5 -5
Olmsted County, Minnesota 27109 29 4 25
Pine County, Minnesota 27115 23 0 23
Ramsey County, Minnesota 27123 0 103 -103
St. Louis County, Minnesota 27137 7 0 7
Stearns County, Minnesota 27145 0 9 -9
Steele County, Minnesota 27147 0 6 -6
Washington County, Minnesota 27163 106 1 105
Calhoun County, Mississippi 28013 0 3 -3
Carroll County, Mississippi 28015 0 18 -18
Copiah County, Mississippi 28029 13 0 13
Harrison County, Mississippi 28047 42 0 42
Jackson County, Mississippi 28059 16 0 16
Jones County, Mississippi 28067 25 0 25
Lowndes County, Mississippi 28087 0 13 -13
Marshall County, Mississippi 28093 195 0 195
Oktibbeha County, Mississippi 28105 0 7 -7
Pearl River County, Mississippi 28109 18 0 18
Adair County, Missouri 29001 110 68 42
Andrew County, Missouri 29003 48 0 48
Audrain County, Missouri 29007 23 38 -15
Barry County, Missouri 29009 23 0 23
Barton County, Missouri 29011 1 1 0
Bates County, Missouri 29013 52 248 -196
Benton County, Missouri 29015 56 155 -99
Boone County, Missouri 29019 548 935 -387
Buchanan County, Missouri 29021 200 897 -697
Butler County, Missouri 29023 20 4 16
Caldwell County, Missouri 29025 18 104 -86
Callaway County, Missouri 29027 14 147 -133
Camden County, Missouri 29029 41 156 -115
Cape Girardeau County, Missouri 29031 55 75 -20
Carroll County, Missouri 29033 27 27 0
Carter County, Missouri 29035 80 2 78
Cass County, Missouri 29037 2629 2204 425
Cedar County, Missouri 29039 1 36 -35
Chariton County, Missouri 29041 0 7 -7
Christian County, Missouri 29043 47 86 -39
Clay County, Missouri 29047 2278 4467 -2189
Clinton County, Missouri 29049 163 165 -2
Cole County, Missouri 29051 108 337 -229
Cooper County, Missouri 29053 14 103 -89
Crawford County, Missouri 29055 32 15 17
Dade County, Missouri 29057 0 2 -2
Dallas County, Missouri 29059 15 6 9
Daviess County, Missouri 29061 12 37 -25
DeKalb County, Missouri 29063 24 137 -113
Dent County, Missouri 29065 15 1 14
Douglas County, Missouri 29067 0 21 -21
Dunklin County, Missouri 29069 15 81 -66
Franklin County, Missouri 29071 132 14 118
Gasconade County, Missouri 29073 13 5 8
Gentry County, Missouri 29075 20 1 19
Greene County, Missouri 29077 1305 895 410
Grundy County, Missouri 29079 0 18 -18
Harrison County, Missouri 29081 22 11 11
Henry County, Missouri 29083 73 195 -122
Hickory County, Missouri 29085 29 27 2
Howard County, Missouri 29089 179 13 166
Howell County, Missouri 29091 0 51 -51
Iron County, Missouri 29093 0 3 -3
Jasper County, Missouri 29097 156 464 -308
Jefferson County, Missouri 29099 73 171 -98
Johnson County, Missouri 29101 748 1182 -434
Laclede County, Missouri 29105 19 63 -44
Lafayette County, Missouri 29107 392 954 -562
Lawrence County, Missouri 29109 44 32 12
Lewis County, Missouri 29111 17 15 2
Lincoln County, Missouri 29113 38 0 38
Linn County, Missouri 29115 0 3 -3
Livingston County, Missouri 29117 44 41 3
McDonald County, Missouri 29119 0 3 -3
Macon County, Missouri 29121 22 0 22
Madison County, Missouri 29123 18 121 -103
Maries County, Missouri 29125 89 0 89
Marion County, Missouri 29127 0 22 -22
Mercer County, Missouri 29129 0 4 -4
Miller County, Missouri 29131 134 70 64
Moniteau County, Missouri 29135 0 53 -53
Monroe County, Missouri 29137 0 3 -3
Montgomery County, Missouri 29139 0 3 -3
Morgan County, Missouri 29141 119 13 106
New Madrid County, Missouri 29143 0 9 -9
Newton County, Missouri 29145 0 168 -168
Nodaway County, Missouri 29147 214 226 -12
Osage County, Missouri 29151 4 4 0
Ozark County, Missouri 29153 0 20 -20
Pemiscot County, Missouri 29155 19 0 19
Perry County, Missouri 29157 2 0 2
Pettis County, Missouri 29159 47 104 -57
Phelps County, Missouri 29161 136 143 -7
Pike County, Missouri 29163 0 81 -81
Platte County, Missouri 29165 676 1926 -1250
Polk County, Missouri 29167 64 83 -19
Pulaski County, Missouri 29169 17 6 11
Putnam County, Missouri 29171 0 3 -3
Ralls County, Missouri 29173 1 0 1
Randolph County, Missouri 29175 2 60 -58
Ray County, Missouri 29177 61 104 -43
St. Charles County, Missouri 29183 185 464 -279
St. Clair County, Missouri 29185 8 72 -64
Ste. Genevieve County, Missouri 29186 22 3 19
St. Francois County, Missouri 29187 53 47 6
St. Louis County, Missouri 29189 681 397 284
Saline County, Missouri 29195 68 27 41
Schuyler County, Missouri 29197 0 6 -6
Scotland County, Missouri 29199 2 1 1
Scott County, Missouri 29201 9 7 2
Shannon County, Missouri 29203 0 5 -5
Stoddard County, Missouri 29207 83 0 83
Stone County, Missouri 29209 54 9 45
Sullivan County, Missouri 29211 44 0 44
Taney County, Missouri 29213 77 17 60
Texas County, Missouri 29215 17 33 -16
Vernon County, Missouri 29217 41 84 -43
Warren County, Missouri 29219 16 0 16
Webster County, Missouri 29225 19 38 -19
Worth County, Missouri 29227 11 0 11
Wright County, Missouri 29229 14 60 -46
St. Louis city, Missouri 29510 328 494 -166
Stillwater County, Montana 30095 0 20 -20
Yellowstone County, Montana 30111 0 7 -7
Adams County, Nebraska 31001 35 0 35
Dodge County, Nebraska 31053 0 49 -49
Douglas County, Nebraska 31055 292 155 137
Jefferson County, Nebraska 31095 0 7 -7
Lancaster County, Nebraska 31109 55 140 -85
Lincoln County, Nebraska 31111 15 8 7
Madison County, Nebraska 31119 0 12 -12
Nemaha County, Nebraska 31127 25 0 25
Perkins County, Nebraska 31135 0 4 -4
Platte County, Nebraska 31141 18 6 12
Sarpy County, Nebraska 31153 97 51 46
Saunders County, Nebraska 31155 6 0 6
Scotts Bluff County, Nebraska 31157 9 0 9
Clark County, Nevada 32003 137 127 10
Washoe County, Nevada 32031 0 67 -67
Belknap County, New Hampshire 33001 0 12 -12
Cheshire County, New Hampshire 33005 0 26 -26
Hillsborough County, New Hampshire 33011 17 0 17
Burlington County, New Jersey 34005 58 0 58
Hudson County, New Jersey 34017 0 3 -3
Mercer County, New Jersey 34021 9 0 9
Middlesex County, New Jersey 34023 36 55 -19
Morris County, New Jersey 34027 6 0 6
Bernalillo County, New Mexico 35001 30 377 -347
Cibola County, New Mexico 35006 0 1 -1
Colfax County, New Mexico 35007 0 24 -24
Lea County, New Mexico 35025 0 72 -72
Otero County, New Mexico 35035 12 24 -12
Sandoval County, New Mexico 35043 31 0 31
Socorro County, New Mexico 35053 22 0 22
Albany County, New York 36001 0 40 -40
Bronx County, New York 36005 0 20 -20
Broome County, New York 36007 7 0 7
Kings County, New York 36047 0 68 -68
Madison County, New York 36053 37 0 37
Monroe County, New York 36055 0 186 -186
New York County, New York 36061 29 86 -57
Onondaga County, New York 36067 9 35 -26
Ontario County, New York 36069 6 0 6
Queens County, New York 36081 0 14 -14
Schenectady County, New York 36093 0 50 -50
Steuben County, New York 36101 0 3 -3
Suffolk County, New York 36103 73 0 73
Washington County, New York 36115 15 0 15
Wayne County, New York 36117 0 3 -3
Alexander County, North Carolina 37003 0 13 -13
Beaufort County, North Carolina 37013 0 3 -3
Cumberland County, North Carolina 37051 0 10 -10
Durham County, North Carolina 37063 14 69 -55
Forsyth County, North Carolina 37067 73 6 67
Guilford County, North Carolina 37081 0 8 -8
Harnett County, North Carolina 37085 0 9 -9
Mecklenburg County, North Carolina 37119 66 0 66
Onslow County, North Carolina 37133 26 41 -15
Orange County, North Carolina 37135 16 0 16
Pitt County, North Carolina 37147 0 13 -13
Randolph County, North Carolina 37151 0 62 -62
Transylvania County, North Carolina 37175 50 0 50
Wake County, North Carolina 37183 0 158 -158
Watauga County, North Carolina 37189 0 8 -8
Burleigh County, North Dakota 38015 15 1 14
Cass County, North Dakota 38017 9 3 6
LaMoure County, North Dakota 38045 0 2 -2
McLean County, North Dakota 38055 12 0 12
Stark County, North Dakota 38089 0 209 -209
Ward County, North Dakota 38101 0 117 -117
Ashland County, Ohio 39005 28 0 28
Cuyahoga County, Ohio 39035 0 48 -48
Erie County, Ohio 39043 0 22 -22
Fairfield County, Ohio 39045 1 0 1
Franklin County, Ohio 39049 293 153 140
Hamilton County, Ohio 39061 23 26 -3
Jefferson County, Ohio 39081 0 10 -10
Lorain County, Ohio 39093 0 13 -13
Montgomery County, Ohio 39113 24 0 24
Muskingum County, Ohio 39119 0 5 -5
Portage County, Ohio 39133 15 0 15
Scioto County, Ohio 39145 0 6 -6
Summit County, Ohio 39153 0 22 -22
Wood County, Ohio 39173 8 0 8
Blaine County, Oklahoma 40011 0 14 -14
Caddo County, Oklahoma 40015 0 4 -4
Canadian County, Oklahoma 40017 24 42 -18
Cleveland County, Oklahoma 40027 0 57 -57
Comanche County, Oklahoma 40031 114 26 88
Craig County, Oklahoma 40035 0 6 -6
Creek County, Oklahoma 40037 0 5 -5
Delaware County, Oklahoma 40041 39 0 39
Garfield County, Oklahoma 40047 0 6 -6
Grady County, Oklahoma 40051 0 6 -6
Le Flore County, Oklahoma 40079 0 99 -99
Logan County, Oklahoma 40083 0 3 -3
Muskogee County, Oklahoma 40101 0 19 -19
Oklahoma County, Oklahoma 40109 149 21 128
Okmulgee County, Oklahoma 40111 0 10 -10
Payne County, Oklahoma 40119 53 0 53
Pittsburg County, Oklahoma 40121 34 0 34
Pottawatomie County, Oklahoma 40125 0 8 -8
Rogers County, Oklahoma 40131 182 18 164
Tulsa County, Oklahoma 40143 96 117 -21
Wagoner County, Oklahoma 40145 8 0 8
Washington County, Oklahoma 40147 0 9 -9
Benton County, Oregon 41003 72 24 48
Clackamas County, Oregon 41005 9 0 9
Lane County, Oregon 41039 6 22 -16
Marion County, Oregon 41047 0 42 -42
Multnomah County, Oregon 41051 25 35 -10
Washington County, Oregon 41067 13 0 13
Adams County, Pennsylvania 42001 0 7 -7
Allegheny County, Pennsylvania 42003 76 0 76
Bucks County, Pennsylvania 42017 19 0 19
Centre County, Pennsylvania 42027 0 13 -13
Chester County, Pennsylvania 42029 0 4 -4
Erie County, Pennsylvania 42049 60 0 60
Lebanon County, Pennsylvania 42075 49 0 49
Luzerne County, Pennsylvania 42079 18 0 18
Philadelphia County, Pennsylvania 42101 77 9 68
Susquehanna County, Pennsylvania 42115 0 11 -11
Providence County, Rhode Island 44007 15 23 -8
Washington County, Rhode Island 44009 15 9 6
Beaufort County, South Carolina 45013 0 4 -4
Charleston County, South Carolina 45019 13 0 13
Greenville County, South Carolina 45045 12 20 -8
Lancaster County, South Carolina 45057 26 0 26
Lexington County, South Carolina 45063 12 0 12
Richland County, South Carolina 45079 25 25 0
Clay County, South Dakota 46027 0 4 -4
Haakon County, South Dakota 46055 0 16 -16
Lawrence County, South Dakota 46081 0 1 -1
Minnehaha County, South Dakota 46099 26 14 12
Oglala Lakota County, South Dakota 46102 14 0 14
Pennington County, South Dakota 46103 24 30 -6
Roberts County, South Dakota 46109 47 0 47
Davidson County, Tennessee 47037 55 95 -40
Giles County, Tennessee 47055 0 8 -8
Hamilton County, Tennessee 47065 0 9 -9
Jefferson County, Tennessee 47089 0 65 -65
Madison County, Tennessee 47113 0 21 -21
Maury County, Tennessee 47119 0 59 -59
Monroe County, Tennessee 47123 9 0 9
Montgomery County, Tennessee 47125 0 7 -7
Rutherford County, Tennessee 47149 48 10 38
Sevier County, Tennessee 47155 0 8 -8
Shelby County, Tennessee 47157 10 0 10
Sumner County, Tennessee 47165 12 0 12
Wayne County, Tennessee 47181 0 27 -27
Williamson County, Tennessee 47187 0 23 -23
Wilson County, Tennessee 47189 0 5 -5
Bell County, Texas 48027 11 59 -48
Bexar County, Texas 48029 192 81 111
Blanco County, Texas 48031 0 5 -5
Bowie County, Texas 48037 31 0 31
Brazos County, Texas 48041 5 0 5
Brewster County, Texas 48043 0 9 -9
Carson County, Texas 48065 0 1 -1
Chambers County, Texas 48071 9 0 9
Collin County, Texas 48085 58 487 -429
Coryell County, Texas 48099 25 0 25
Dallas County, Texas 48113 91 116 -25
Denton County, Texas 48121 95 98 -3
El Paso County, Texas 48141 0 22 -22
Fort Bend County, Texas 48157 4 76 -72
Galveston County, Texas 48167 17 17 0
Harris County, Texas 48201 393 234 159
Hays County, Texas 48209 16 10 6
Hunt County, Texas 48231 6 84 -78
Kaufman County, Texas 48257 0 1 -1
Lubbock County, Texas 48303 0 61 -61
McLennan County, Texas 48309 1 14 -13
Midland County, Texas 48329 0 2 -2
Moore County, Texas 48341 178 0 178
Orange County, Texas 48361 0 3 -3
Tarrant County, Texas 48439 75 89 -14
Travis County, Texas 48453 141 108 33
Wichita County, Texas 48485 0 30 -30
Williamson County, Texas 48491 0 16 -16
Emery County, Utah 49015 0 14 -14
Salt Lake County, Utah 49035 26 61 -35
Utah County, Utah 49049 0 18 -18
Weber County, Utah 49057 26 13 13
Arlington County, Virginia 51013 30 12 18
Botetourt County, Virginia 51023 15 0 15
Fairfax County, Virginia 51059 0 38 -38
Hanover County, Virginia 51085 0 42 -42
Henrico County, Virginia 51087 0 93 -93
Loudoun County, Virginia 51107 0 5 -5
Montgomery County, Virginia 51121 0 6 -6
Prince William County, Virginia 51153 77 0 77
Alexandria city, Virginia 51510 34 8 26
Hampton city, Virginia 51650 0 17 -17
Lexington city, Virginia 51678 18 0 18
Newport News city, Virginia 51700 0 16 -16
Norfolk city, Virginia 51710 0 34 -34
Portsmouth city, Virginia 51740 10 0 10
Virginia Beach city, Virginia 51810 73 0 73
Clark County, Washington 53011 110 27 83
Cowlitz County, Washington 53015 0 7 -7
Island County, Washington 53029 94 0 94
King County, Washington 53033 93 107 -14
Kitsap County, Washington 53035 30 0 30
Pierce County, Washington 53053 0 28 -28
Skagit County, Washington 53057 16 0 16
Snohomish County, Washington 53061 14 20 -6
Spokane County, Washington 53063 0 21 -21
Whatcom County, Washington 53073 13 0 13
Yakima County, Washington 53077 0 27 -27
Gilmer County, West Virginia 54021 0 1 -1
Greenbrier County, West Virginia 54025 16 22 -6
Jefferson County, West Virginia 54037 1 0 1
Kanawha County, West Virginia 54039 0 13 -13
Monongalia County, West Virginia 54061 13 65 -52
Raleigh County, West Virginia 54081 5 0 5
Crawford County, Wisconsin 55023 20 0 20
Dane County, Wisconsin 55025 20 0 20
Eau Claire County, Wisconsin 55035 31 13 18
Green Lake County, Wisconsin 55047 0 5 -5
Iron County, Wisconsin 55051 0 1 -1
Jefferson County, Wisconsin 55055 0 6 -6
Juneau County, Wisconsin 55057 32 0 32
La Crosse County, Wisconsin 55063 21 11 10
Milwaukee County, Wisconsin 55079 416 13 403
Sauk County, Wisconsin 55111 45 0 45
Washburn County, Wisconsin 55129 0 2 -2
Waukesha County, Wisconsin 55133 0 18 -18
Waupaca County, Wisconsin 55135 0 5 -5
Big Horn County, Wyoming 56003 0 9 -9
Fremont County, Wyoming 56013 0 2 -2
Laramie County, Wyoming 56021 0 51 -51
Park County, Wyoming 56029 0 7 -7
Humacao Municipio, Puerto Rico 72069 0 56 -56
San Juan Municipio, Puerto Rico 72127 19 0 19
Bridgeport town, Fairfield County, Connecticut 0900108070 0 4 -4
New Fairfield town, Fairfield County, Connecticut 0900150860 8 0 8
Wilton town, Fairfield County, Connecticut 0900186370 10 0 10
Middletown town, Middlesex County, Connecticut 0900747360 4 0 4
Portland town, Middlesex County, Connecticut 0900761800 0 6 -6
Southbury town, New Haven County, Connecticut 0900969640 16 0 16
Groton town, New London County, Connecticut 0901134250 0 1 -1
Brunswick town, Cumberland County, Maine 2300508430 0 20 -20
Mashpee town, Barnstable County, Massachusetts 2500139100 0 8 -8
Springfield city, Hampden County, Massachusetts 2501367000 64 0 64
Cambridge city, Middlesex County, Massachusetts 2501711000 0 33 -33
Everett city, Middlesex County, Massachusetts 2501721990 46 0 46
Tewksbury town, Middlesex County, Massachusetts 2501769415 25 0 25
Milton town, Norfolk County, Massachusetts 2502141690 35 0 35
Boston city, Suffolk County, Massachusetts 2502507000 41 53 -12
Fitchburg city, Worcester County, Massachusetts 2502723875 50 0 50
Albion city, Calhoun County, Michigan 2602500980 0 5 -5
East Lansing city, Clinton County, Michigan 2603724120 0 38 -38
Charlotte city, Eaton County, Michigan 2604514820 145 0 145
Peninsula township, Grand Traverse County, Michigan 2605563340 0 22 -22
Hillsdale city, Hillsdale County, Michigan 2605938460 0 84 -84
Lansing city, Ingham County, Michigan 2606546000 15 17 -2
Union charter township, Isabella County, Michigan 2607381340 5 0 5
Jackson city, Jackson County, Michigan 2607541420 0 7 -7
Gaines charter township, Kent County, Michigan 2608131240 0 9 -9
Eastpointe city, Macomb County, Michigan 2609924290 0 55 -55
Macomb township, Macomb County, Michigan 2609950480 0 4 -4
Commerce charter township, Oakland County, Michigan 2612517640 0 8 -8
Oxford charter township, Oakland County, Michigan 2612562040 0 22 -22
Rochester Hills city, Oakland County, Michigan 2612569035 0 8 -8
Allendale charter township, Ottawa County, Michigan 2613901360 0 12 -12
Zeeland charter township, Ottawa County, Michigan 2613989280 0 19 -19
Saginaw city, Saginaw County, Michigan 2614570520 46 0 46
Columbia township, Tuscola County, Michigan 2615717420 0 13 -13
Canton charter township, Wayne County, Michigan 2616313120 0 7 -7
Dearborn city, Wayne County, Michigan 2616321000 0 5 -5
Detroit city, Wayne County, Michigan 2616322000 6 0 6
Livonia city, Wayne County, Michigan 2616349000 21 0 21
Plymouth charter township, Wayne County, Michigan 2616365080 0 21 -21
Taylor city, Wayne County, Michigan 2616379000 0 12 -12
Westland city, Wayne County, Michigan 2616386000 2 0 2
Aitkin city, Aitkin County, Minnesota 2700100460 0 4 -4
Anoka city, Anoka County, Minnesota 2700301720 10 0 10
Coon Rapids city, Anoka County, Minnesota 2700313114 0 50 -50
Sauk Rapids city, Benton County, Minnesota 2700958684 20 0 20
North Branch city, Chisago County, Minnesota 2702546798 0 21 -21
Sunrise township, Chisago County, Minnesota 2702563616 0 69 -69
Claremont city, Dodge County, Minnesota 2703911566 0 3 -3
Milton township, Dodge County, Minnesota 2703942380 6 0 6
Wacouta township, Goodhue County, Minnesota 2704967486 0 3 -3
Bloomington city, Hennepin County, Minnesota 2705306616 0 10 -10
Eden Prairie city, Hennepin County, Minnesota 2705318116 13 0 13
Minneapolis city, Hennepin County, Minnesota 2705343000 37 47 -10
Minnetonka city, Hennepin County, Minnesota 2705343252 9 0 9
Minnetrista city, Hennepin County, Minnesota 2705343306 38 0 38
Hutchinson city, McLeod County, Minnesota 2708530644 0 7 -7
Harding city, Morrison County, Minnesota 2709727098 0 5 -5
Eyota township, Olmsted County, Minnesota 2710920132 18 0 18
Rochester city, Olmsted County, Minnesota 2710954880 11 4 7
Sandstone city, Pine County, Minnesota 2711558396 23 0 23
St. Paul city, Ramsey County, Minnesota 2712358000 0 22 -22
Vadnais Heights city, Ramsey County, Minnesota 2712366460 0 81 -81
Duluth city, St. Louis County, Minnesota 2713717000 7 0 7
Richmond city, Stearns County, Minnesota 2714554268 0 9 -9
Somerset township, Steele County, Minnesota 2714761150 0 6 -6
Grant city, Washington County, Minnesota 2716325334 6 0 6
Oakdale city, Washington County, Minnesota 2716347680 82 1 81
Woodbury city, Washington County, Minnesota 2716371428 18 0 18
Laconia city, Belknap County, New Hampshire 3300140180 0 12 -12
Swanzey town, Cheshire County, New Hampshire 3300575700 0 26 -26
Manchester city, Hillsborough County, New Hampshire 3301145140 17 0 17
Edgewater Park township, Burlington County, New Jersey 3400520050 30 0 30
Evesham township, Burlington County, New Jersey 3400522110 28 0 28
Jersey City city, Hudson County, New Jersey 3401736000 0 3 -3
Lawrence township, Mercer County, New Jersey 3402139510 9 0 9
Edison township, Middlesex County, New Jersey 3402320230 7 0 7
Highland Park borough, Middlesex County, New Jersey 3402331470 22 0 22
New Brunswick city, Middlesex County, New Jersey 3402351210 7 0 7
Old Bridge township, Middlesex County, New Jersey 3402354705 0 17 -17
Piscataway township, Middlesex County, New Jersey 3402359010 0 38 -38
Long Hill township, Morris County, New Jersey 3402741362 6 0 6
Albany city, Albany County, New York 3600101000 0 40 -40
Bronx borough, Bronx County, New York 3600508510 0 20 -20
Dickinson town, Broome County, New York 3600720588 7 0 7
Brooklyn borough, Kings County, New York 3604710022 0 68 -68
Lebanon town, Madison County, New York 3605341674 37 0 37
Gates town, Monroe County, New York 3605528442 0 186 -186
Manhattan borough, New York County, New York 3606144919 29 86 -57
Syracuse city, Onondaga County, New York 3606773000 9 35 -26
Canandaigua town, Ontario County, New York 3606912155 6 0 6
Queens borough, Queens County, New York 3608160323 0 14 -14
Schenectady city, Schenectady County, New York 3609365508 0 50 -50
Campbell town, Steuben County, New York 3610111946 0 3 -3
Islip town, Suffolk County, New York 3610338000 73 0 73
Jackson town, Washington County, New York 3611538143 15 0 15
Wolcott town, Wayne County, New York 3611782689 0 3 -3
Straban township, Adams County, Pennsylvania 4200174680 0 7 -7
Dormont borough, Allegheny County, Pennsylvania 4200319576 76 0 76
Richland township, Bucks County, Pennsylvania 4201764536 19 0 19
State College borough, Centre County, Pennsylvania 4202773808 0 13 -13
Atglen borough, Chester County, Pennsylvania 4202903384 0 4 -4
Millcreek township, Erie County, Pennsylvania 4204949548 50 0 50
Waterford township, Erie County, Pennsylvania 4204981472 10 0 10
Lebanon city, Lebanon County, Pennsylvania 4207542168 49 0 49
Dupont borough, Luzerne County, Pennsylvania 4207920424 18 0 18
Philadelphia city, Philadelphia County, Pennsylvania 4210160000 77 9 68
Hallstead borough, Susquehanna County, Pennsylvania 4211532080 0 11 -11
Johnston town, Providence County, Rhode Island 4400737720 15 0 15
Pawtucket city, Providence County, Rhode Island 4400754640 0 13 -13
Providence city, Providence County, Rhode Island 4400759000 0 10 -10
Narragansett town, Washington County, Rhode Island 4400948340 0 9 -9
South Kingstown town, Washington County, Rhode Island 4400967460 15 0 15
Marietta town, Crawford County, Wisconsin 5502349275 20 0 20
Madison city, Dane County, Wisconsin 5502548000 20 0 20
Eau Claire city, Eau Claire County, Wisconsin 5503522300 31 13 18
Princeton city, Green Lake County, Wisconsin 5504765600 0 4 -4
Princeton town, Green Lake County, Wisconsin 5504765625 0 1 -1
Sherman town, Iron County, Wisconsin 5505173400 0 1 -1
Whitewater city, Jefferson County, Wisconsin 5505586925 0 6 -6
Plymouth town, Juneau County, Wisconsin 5505763650 32 0 32
La Crosse city, La Crosse County, Wisconsin 5506340775 21 11 10
Franklin city, Milwaukee County, Wisconsin 5507927300 5 0 5
Milwaukee city, Milwaukee County, Wisconsin 5507953000 352 13 339
Wauwatosa city, Milwaukee County, Wisconsin 5507984675 59 0 59
Spring Green village, Sauk County, Wisconsin 5511176025 45 0 45
Sarona town, Washburn County, Wisconsin 5512971637 0 2 -2
Oconomowoc city, Waukesha County, Wisconsin 5513359250 0 18 -18
Scandinavia town, Waupaca County, Wisconsin 5513572000 0 5 -5

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

2. General, Social, Economic, Housing Characteristics

2.1. General Demographics - Detailed Characteristics .. goto topics
.. age, gender, race/origin characteristics
    and related general demographic attributes.
.. based on ACS 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 716,862 100.0 331,893,745 100.0
..Male D002 348,277 48.6 164,350,703 49.5
..Female D003 368,585 51.4 167,543,042 50.5
..Sex ratio (males per 100 females) D004 94.5   98.1  
     
..Under 5 years D005 44,312 6.2 18,661,245 5.6
..5 to 9 years D006 47,370 6.6 20,010,813 6.0
..10 to 14 years D007 46,789 6.5 21,821,492 6.6
..15 to 19 years D008 42,277 5.9 21,824,088 6.6
..20 to 24 years D009 45,120 6.3 21,382,643 6.4
..25 to 34 years D010 109,707 15.3 45,079,138 13.6
..35 to 44 years D011 95,387 13.3 43,733,561 13.2
..45 to 54 years D012 81,754 11.4 40,673,717 12.3
..55 to 59 years D013 41,854 5.8 21,141,152 6.4
..60 to 64 years D014 49,232 6.9 21,673,882 6.5
..65 to 74 years D015 68,832 9.6 33,778,204 10.2
..75 to 84 years D016 30,450 4.2 16,151,137 4.9
..85 years and over D017 13,778 1.9 5,962,673 1.8
     
..Median age (years) D018 37.0   38.8  
     
..Under 18 years D019 166,903 23.3 73,475,278 22.1
..16 years and over D020 569,116 79.4 267,057,693 80.5
..18 years and over D021 549,959 76.7 258,418,467 77.9
..21 years and over D022 529,227 73.8 245,143,605 73.9
..62 years and over D023 140,935 19.7 68,689,093 20.7
..65 years and over D024 113,060 15.8 55,892,014 16.8
     
..18 years and over D025 549,959 100.0 258,418,467 100.0
...Male D026 263,067 47.8 126,690,177 49.0
...Female D027 286,892 52.2 131,728,290 51.0
...Sex ratio (males per 100 females) D028 91.7   96.2  
     
..65 years and over D029 113,060 100.0 55,892,014 100.0
...Male D030 49,436 43.7 25,191,742 45.1
...Female D031 63,624 56.3 30,700,272 54.9
...Sex ratio (males per 100 females) D032 77.7   82.1  
     
RACE      
.Total population D033 716,862 100.0 331,893,745 100.0
..One race D034 654,091 91.2 290,007,306 87.4
..Two or more races D035 62,771 8.8 41,886,439 12.6
     
..One race D036 654,091 91.2 290,007,306 87.4
...White D037 446,085 62.2 202,981,791 61.2
...Black or African American D038 163,093 22.8 40,194,304 12.1
...American Indian and Alaska Native D039 4,487 0.6 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 12,564 1.8 19,157,288 5.8
....Asian Indian D045 1,881 0.3 4,402,223 1.3
....Chinese D046 2,359 0.3 4,360,466 1.3
....Filipino D047 2,791 0.4 2,960,811 0.9
....Japanese D048 97 0.0 742,549 0.2
....Korean D049 1,256 0.2 1,445,315 0.4
....Vietnamese D050 2,288 0.3 1,896,690 0.6
....Other Asian D051 1,892 0.3 3,349,234 1.0
...Native Hawaiian and Other Pacific Islander D052 1,918 0.3 612,448 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 25,944 3.6 23,902,781 7.2
..Two or more races D058 62,771 8.8 41,886,439 12.6
...White and Black or African American D059 9,272 1.3 3,569,990 1.1
...White and American Indian and Alaska Native D060 5,629 0.8 3,212,437 1.0
...White and Asian D061 4,721 0.7 2,773,539 0.8
...Black or African American and American Indian and Alaska Native D062 1,672 0.2 462,571 0.1
     
Race alone or in combination with one or more other races      
.Total population D063 716,862 100.0 331,893,745 100.0
..White D064 503,535 70.2 241,836,150 72.9
..Black or African American D065 179,297 25.0 47,234,227 14.2
..American Indian and Alaska Native D066 15,236 2.1 8,750,904 2.6
..Asian D067 19,763 2.8 23,545,238 7.1
..Native Hawaiian and Other Pacific Islander D068 4,351 0.6 1,541,118 0.5
..Some other race D069 62,281 8.7 53,868,002 16.2
     
HISPANIC OR LATINO AND RACE      
.Total population D070 716,862 100.0 331,893,745 100.0
..Hispanic or Latino (of any race) D071 69,811 9.7 62,529,064 18.8
...Mexican D072 45,788 6.4 37,235,886 11.2
...Puerto Rican D073 1,526 0.2 5,798,287 1.7
...Cuban D074 2,267 0.3 2,400,152 0.7
...Other Hispanic or Latino D075 20,230 2.8 17,094,739 5.2
..Not Hispanic or Latino D076 647,051 90.3 269,364,681 81.2
...White alone D077 436,334 60.9 192,753,887 58.1
...Black or African American alone D078 161,863 22.6 39,269,297 11.8
...American Indian and Alaska Native alone D079 861 0.1 1,749,871 0.5
...Asian alone D080 12,312 1.7 18,889,050 5.7
...Native Hawaiian and Other Pacific Islander alone D081 1,760 0.2 558,717 0.2
...Some other race alone D082 3,409 0.5 1,845,426 0.6
...Two or more races D083 30,512 4.3 14,298,433 4.3
....Two races including Some other race D084 5,168 0.7 3,342,216 1.0
....Two races excluding Some other race, and Three or more races D085 25,344 3.5 10,956,217 3.3
     
.Total housing units D086 333,685 100.0 142,148,050 100.0
     
CITIZEN, VOTING AGE POPULATION      
.Citizen, 18 and over population D087 527,067 100.0 239,035,960 100.0
..Male D088 251,842 47.8 116,766,700 48.8
..Female D089 275,225 52.2 122,269,260 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 302,965 100.0 127,544,730 100.0
..Married-couple family S002 123,517 40.8 60,360,084 47.3
...With own children of the householder under 18 years S003 43,095 14.2 22,870,106 17.9
..Cohabiting couple household S004 25,476 8.4 9,195,007 7.2
...With own children of the householder under 18 years S005 5,995 2.0 2,933,896 2.3
..Male householder, no spouse/partner present S006 58,935 19.5 23,109,048 18.1
...With own children of the householder under 18 years S007 2,993 1.0 1,572,727 1.2
...Householder living alone S008 45,777 15.1 16,359,032 12.8
....65 years and over S009 9,421 3.1 4,814,086 3.8
..Female householder, no spouse/partner present S010 95,037 31.4 34,880,591 27.3
...With own children of the householder under 18 years S011 19,279 6.4 6,253,443 4.9
...Householder living alone S012 53,110 17.5 19,691,382 15.4
....65 years and over S013 21,440 7.1 9,539,491 7.5
     
..Households with one or more people under 18 years S014 80,086 26.4 37,661,807 29.5
..Households with one or more people 65 years and over S015 82,234 27.1 39,884,869 31.3
     
..Average household size S016 2.33   2.54  
..Average family size S017 3.03   3.15  
     
RELATIONSHIP      
.Population in households S018 706,100 100.0 324,132,886 100.0
..Householder S019 302,965 42.9 127,544,730 39.3
..Spouse S020 123,523 17.5 60,303,729 18.6
..Unmarried partner S021 25,466 3.6 9,251,322 2.9
..Child S022 194,695 27.6 94,303,591 29.1
..Other relatives S023 40,501 5.7 22,586,523 7.0
..Other nonrelatives S024 18,950 2.7 10,142,991 3.1
     
MARITAL STATUS      
.Males 15 years and over S025 277,667 100.0 133,358,219 100.0
..Never married S026 105,612 38.0 49,530,132 37.1
..Now married, except separated S027 132,733 47.8 66,215,121 49.7
..Separated S028 3,138 1.1 1,981,789 1.5
..Widowed S029 5,947 2.1 3,411,896 2.6
..Divorced S030 30,237 10.9 12,219,281 9.2
     
.Females 15 years and over S031 300,724 100.0 138,041,976 100.0
..Never married S032 100,981 33.6 43,214,903 31.3
..Now married, except separated S033 130,779 43.5 64,153,674 46.5
..Separated S034 5,207 1.7 2,657,369 1.9
..Widowed S035 22,318 7.4 11,416,414 8.3
..Divorced S036 41,439 13.8 16,599,616 12.0
     
FERTILITY      
.Number of women 15 to 50 years old who had a birth in the past 12 months S037 9,602 100.0 3,922,188 100.0
..Unmarried women (widowed, divorced, and never married) S038 3,380 35.2 1,242,288 31.7
...Per 1,000 unmarried women S039 33 -1.0 28 -1.0
..Per 1,000 women 15 to 50 years old S040 55 -1.0 51 -1.0
..Per 1,000 women 15 to 19 years old S041 4 -1.0 8 -1.0
..Per 1,000 women 20 to 34 years old S042 79 -1.0 84 -1.0
..Per 1,000 women 35 to 50 years old S043 43 -1.0 32 -1.0
     
GRANDPARENTS      
.Number of grandparents living with own grandchildren under 18 years S044 12,368 100.0 6,658,830 100.0
..Grandparents responsible for grandchildren S045 4,935 39.9 2,085,527 31.3
..Years responsible for grandchildren
...Less than 1 year S046 284 2.3 315,750 4.7
...1 or 2 years S047 2,099 17.0 402,768 6.0
...3 or 4 years S048 857 6.9 338,613 5.1
...5 or more years S049 1,695 13.7 1,028,396 15.4
     
.Number of grandparents responsible for own grandchildren under 18 years S050 4,935 100.0 2,085,527 100.0
..Who are female S051 3,276 66.4 1,322,096 63.4
..Who are married S052 3,600 72.9 1,396,788 67.0
     
SCHOOL ENROLLMENT      
.Population 3 years and over enrolled in school S053 163,482 100.0 79,453,524 100.0
..Nursery school, preschool S054 10,154 6.2 4,095,935 5.2
..Kindergarten S055 8,414 5.1 4,011,805 5.0
..Elementary school (grades 1-8) S056 76,719 46.9 32,855,519 41.4
..High school (grades 9-12) S057 35,415 21.7 17,293,504 21.8
..College or graduate school S058 32,780 20.1 21,196,761 26.7
     
EDUCATIONAL ATTAINMENT      
.Population 25 years and over S059 490,994 100.0 228,193,464 100.0
..Less than 9th grade S060 10,563 2.2 10,860,370 4.8
..9th to 12th grade, no diploma S061 27,542 5.6 13,412,111 5.9
..High school graduate (includes equivalency) S062 140,818 28.7 59,996,344 26.3
..Some college, no degree S063 105,521 21.5 44,048,941 19.3
..Associate's degree S064 40,421 8.2 19,972,235 8.8
..Bachelor's degree S065 102,801 20.9 48,482,060 21.2
..Graduate or professional degree S066 63,328 12.9 31,421,403 13.8
     
..High school graduate or higher S067 452,889 92.2 203,920,983 89.4
..Bachelor's degree or higher S068 166,129 33.8 79,903,463 35.0
     
VETERAN STATUS      
.Civilian population 18 years and over S069 548,431 100.0 257,083,784 100.0
..Civilian veterans S070 39,341 7.2 16,501,502 6.4
     
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION      
.Total Civilian Noninstitutionalized Population S071 709,892 100.0 326,912,547 100.0
..With a disability S072 97,130 13.7 42,485,034 13.0
     
.Under 18 years S073 166,436 100.0 73,357,731 100.0
..With a disability S074 8,152 4.9 3,399,376 4.6
     
.18 to 64 years S075 432,940 100.0 198,812,874 100.0
..With a disability S076 50,573 11.7 21,246,505 10.7
     
.65 years and over S077 110,516 100.0 54,741,942 100.0
..With a disability S078 38,405 34.8 17,839,153 32.6
     
RESIDENCE 1 YEAR AGO      
.Population 1 year and over S079 709,694 100.0 328,464,538 100.0
..Same house S080 604,310 85.2 286,552,923 87.2
..Different house in the U.S. or abroad S081 105,384 14.8 41,911,615 12.8
..Different house in the U.S. S082 103,154 14.5 40,436,958 12.3
...Same county S083 63,386 8.9 21,878,668 6.7
...Different county S084 39,768 5.6 18,558,290 5.7
....Same state S085 12,670 1.8 10,698,453 3.3
....Different state S086 27,098 3.8 7,859,837 2.4
..Abroad S087 2,230 0.3 1,474,657 0.4
     
PLACE OF BIRTH      
.Total population S088 716,862 100.0 331,893,745 100.0
..Native S089 675,982 94.3 286,623,642 86.4
...Born in United States S090 671,758 93.7 281,070,671 84.7
....State of residence S091 424,384 59.2 191,929,224 57.8
....Different state S092 247,374 34.5 89,141,447 26.9
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s) S093 4,224 0.6 5,552,971 1.7
..Foreign born S094 40,880 5.7 45,270,103 13.6
     
U.S. CITIZENSHIP STATUS      
.Foreign-born population S095 40,880 100.0 45,270,103 100.0
..Naturalized U.S. citizen S096 15,259 37.3 24,044,083 53.1
..Not a U.S. citizen S097 25,621 62.7 21,226,020 46.9
     
YEAR OF ENTRY      
.Population born outside the United States S098 45,104 100.0 50,823,074 100.0
     
..Native S099 4,224 100.0 5,552,971 100.0
...Entered 2010 or later S100 1,079 25.5 1,697,342 30.6
...Entered before 2010 S101 3,145 74.5 3,855,629 69.4
     
..Foreign born S102 40,880 100.0 45,270,103 100.0
...Entered 2010 or later S103 14,115 34.5 12,717,163 28.1
...Entered before 2010 S104 26,765 65.5 32,552,940 71.9
     
WORLD REGION OF BIRTH OF FOREIGN BORN      
.Foreign-born population, excluding population born at sea S105 40,880 100.0 45,269,644 100.0
..Europe S106 3,900 9.5 4,865,317 10.7
..Asia S107 8,358 20.4 14,034,338 31.0
..Africa S108 3,640 8.9 2,597,894 5.7
..Oceania S109 1,388 3.4 292,766 0.6
..Latin America S110 23,314 57.0 22,691,727 50.1
..Northern America S111 280 0.7 787,602 1.7
     
LANGUAGE SPOKEN AT HOME      
.Population 5 years and over S112 672,550 100.0 313,232,500 100.0
..English only S113 614,008 91.3 245,478,064 78.4
..Language other than English S114 58,542 8.7 67,754,436 21.6
...Speak English less than very well S115 21,301 3.2 25,921,267 8.3
..Spanish S116 40,143 6.0 41,254,941 13.2
...Speak English less than very well S117 16,405 2.4 16,299,869 5.2
..Other Indo-European languages S118 5,404 0.8 11,802,904 3.8
...Speak English less than very well S119 1,358 0.2 3,639,669 1.2
..Asian and Pacific Islander languages S120 7,296 1.1 10,915,574 3.5
...Speak English less than very well S121 1,834 0.3 4,884,562 1.6
..Other languages S122 5,699 0.8 3,781,017 1.2
...Speak English less than very well S123 1,704 0.3 1,097,167 0.4
     
ANCESTRY      
.Total population S124 716,862 100.0 331,893,745 100.0
..American S125 28,671 4.0 17,625,957 5.3
..Arab S126 2,390 0.3 2,222,769 0.7
..Czech S127 1,571 0.2 1,252,833 0.4
..Danish S128 2,401 0.3 1,122,719 0.3
..Dutch S129 7,300 1.0 3,083,041 0.9
..English S130 75,273 10.5 31,825,171 9.6
..French (except Basque) S131 10,721 1.5 6,448,506 1.9
..French Canadian S132 1,221 0.2 1,602,027 0.5
..German S133 107,965 15.1 42,220,180 12.7
..Greek S134 1,450 0.2 1,184,289 0.4
..Hungarian S135 1,136 0.2 1,221,273 0.4
..Irish S136 73,498 10.3 31,495,897 9.5
..Italian S137 22,212 3.1 15,947,138 4.8
..Lithuanian S138 269 0.0 573,618 0.2
..Norwegian S139 4,578 0.6 3,885,380 1.2
..Polish S140 9,702 1.4 8,237,026 2.5
..Portuguese S141 930 0.1 1,306,039 0.4
..Russian S142 2,271 0.3 2,407,434 0.7
..Scotch-Irish S143 6,678 0.9 2,495,113 0.8
..Scottish S144 12,438 1.7 5,244,788 1.6
..Slovak S145 540 0.1 594,844 0.2
..Subsaharan African S146 5,075 0.7 3,967,734 1.2
..Swedish S147 5,004 0.7 3,318,578 1.0
..Swiss S148 1,500 0.2 839,159 0.3
..Ukrainian S149 535 0.1 980,819 0.3
..Welsh S150 3,081 0.4 1,553,417 0.5
..West Indian (excluding Hispanic origin groups) S151 1,375 0.2 3,064,655 0.9
     
COMPUTERS AND INTERNET USE      
.Total households S152 302,965 100.0 127,544,730 100.0
..With a computer S153 291,382 96.2 121,224,032 95.0
..With a broadband Internet subscription S154 275,350 90.9 114,964,205 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 569,116 100.0 267,057,693 100.0
..In labor force E002 379,493 66.7 168,236,937 63.0
...Civilian labor force E003 377,965 66.4 166,900,336 62.5
....Employed E004 357,750 62.9 156,380,433 58.6
....Unemployed E005 20,215 3.6 10,519,903 3.9
...Armed Forces E006 1,528 0.3 1,336,601 0.5
..Not in labor force E007 189,623 33.3 98,820,756 37.0
     
.Civilian labor force E008 377,965 100.0 166,900,336 100.0
..Unemployment Rate E009 5.30   6.30  
     
.Females 16 years and over E010 296,581 100.0 135,931,305 100.0
..In labor force E011 184,852 62.3 79,347,771 58.4
...Civilian labor force E012 184,625 62.3 79,128,144 58.2
....Employed E013 175,290 59.1 74,173,887 54.6
     
.Own children of the householder under 6 years E014 51,127 100.0 21,632,850 100.0
..All parents in family in labor force E015 37,254 72.9 14,432,156 66.7
     
.Own children of the householder 6 to 17 years E016 106,370 100.0 48,027,938 100.0
..All parents in family in labor force E017 79,804 75.0 34,209,802 71.2
     
COMMUTING TO WORK      
.Workers 16 years and over E018 353,350 100.0 154,314,179 100.0
..Car, truck, or van -- drove alone E019 248,765 70.4 104,650,121 67.8
..Car, truck, or van -- carpooled E020 24,348 6.9 12,018,354 7.8
..Public transportation (excluding taxicab) E021 3,762 1.1 3,793,329 2.5
..Walked E022 4,675 1.3 3,399,405 2.2
..Other means E023 5,001 1.4 2,884,872 1.9
..Worked from home E024 66,799 18.9 27,568,098 17.9
     
..Mean travel time to work (minutes) E025 22.40   25.60  
     
OCCUPATION      
.Civilian employed population 16 years and over E026 357,750 100.0 156,380,433 100.0
..Management, business, science, and arts occupations E027 151,436 42.3 66,001,412 42.2
..Service occupations E028 55,175 15.4 25,151,071 16.1
..Sales and office occupations E029 79,107 22.1 31,329,510 20.0
..Natural resources, construction, and maintenance occupations E030 25,299 7.1 13,368,928 8.5
..Production, transportation, and material moving occupations E031 46,733 13.1 20,529,512 13.1
     
INDUSTRY      
.Civilian employed population 16 years and over E032 357,750 100.0 156,380,433 100.0
..Agriculture, forestry, fishing and hunting, and mining E033 1,300 0.4 2,445,458 1.6
..Construction E034 21,995 6.1 10,773,757 6.9
..Manufacturing E035 28,757 8.0 15,738,828 10.1
..Wholesale trade E036 9,945 2.8 3,616,410 2.3
..Retail trade E037 38,474 10.8 17,307,114 11.1
..Transportation and warehousing, and utilities E038 24,990 7.0 9,237,812 5.9
..Information E039 5,738 1.6 2,908,107 1.9
..Finance and insurance, and real estate and rental and leasing E040 28,452 8.0 10,659,331 6.8
..Professional, scientific, and management, and administrative and waste management services E041 45,613 12.7 19,360,141 12.4
..Educational services, and health care and social assistance E042 85,629 23.9 36,749,102 23.5
..Arts, entertainment, and recreation, and accommodation and food services E043 33,597 9.4 12,892,907 8.2
..Other services, except public administration E044 17,976 5.0 7,170,404 4.6
..Public administration E045 15,284 4.3 7,521,062 4.8
     
CLASS OF WORKER      
.Civilian employed population 16 years and over E046 357,750 100.0 156,380,433 100.0
..Private wage and salary workers E047 294,739 82.4 123,744,069 79.1
..Government workers E048 43,211 12.1 22,860,100 14.6
..Self-employed in own not incorporated business workers E049 19,171 5.4 9,481,077 6.1
..Unpaid family workers E050 629 0.2 295,187 0.2
     
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS)      
.Total households E051 302,965 100.0 127,544,730 100.0
..Less than $10,000 E052 16,821 5.6 7,689,277 6.0
..$10,000 to $14,999 E053 11,909 3.9 4,919,505 3.9
..$15,000 to $24,999 E054 23,438 7.7 9,567,549 7.5
..$25,000 to $34,999 E055 28,024 9.2 9,969,826 7.8
..$35,000 to $49,999 E056 39,424 13.0 14,364,338 11.3
..$50,000 to $74,999 E057 56,846 18.8 21,443,341 16.8
..$75,000 to $99,999 E058 40,069 13.2 16,276,811 12.8
..$100,000 to $149,999 E059 46,496 15.3 20,741,047 16.3
..$150,000 to $199,999 E060 22,213 7.3 10,096,604 7.9
..$200,000 or more E061 17,725 5.9 12,476,432 9.8
..Median household income (dollars) E062 63,459   69,717  
..Mean household income (dollars) E063 84,117   97,962  
     
..With earnings E064 241,851 79.8 98,177,629 77.0
...Mean earnings (dollars) E065 84,730   99,688  
..With Social Security E066 86,551 28.6 39,741,545 31.2
...Mean Social Security income (dollars) E067 20,698   21,152  
..With retirement income E068 70,920 23.4 30,669,175 24.0
...Mean retirement income (dollars) E069 25,151   29,628  
     
..With Supplemental Security Income E070 11,980 4.0 6,588,644 5.2
...Mean Supplemental Security Income (dollars) E071 9,595   10,230  
..With cash public assistance income E072 10,354 3.4 4,282,321 3.4
...Mean cash public assistance income (dollars) E073 5,256   5,240  
..With Food Stamp/SNAP benefits in the past 12 months E074 30,080 9.9 15,838,862 12.4
     
.Families E075 177,055 100.0 82,464,986 100.0
..Less than $10,000 E076 4,960 2.8 3,056,415 3.7
..$10,000 to $14,999 E077 3,530 2.0 1,667,928 2.0
..$15,000 to $24,999 E078 8,173 4.6 4,086,661 5.0
..$25,000 to $34,999 E079 12,958 7.3 5,117,957 6.2
..$35,000 to $49,999 E080 18,573 10.5 8,245,080 10.0
..$50,000 to $74,999 E081 33,261 18.8 13,648,681 16.6
..$75,000 to $99,999 E082 26,997 15.2 11,644,350 14.1
..$100,000 to $149,999 E083 37,267 21.0 16,152,982 19.6
..$150,000 to $199,999 E084 16,585 9.4 8,285,960 10.0
..$200,000 or more E085 14,751 8.3 10,558,972 12.8
..Median family income (dollars) E086 81,626   85,806  
..Mean family income (dollars) E087 101,399   115,522  
     
.Per capita income (dollars) E088 35,375   38,332  
     
.Nonfamily households E089 125,910 100.0 45,079,744 100.0
..Median nonfamily income (dollars) E090 41,507   41,549  
..Mean nonfamily income (dollars) E091 56,808   61,091  
     
.Median earnings for workers (dollars) E092 40,133   40,260  
.Median earnings for male full-time, year-round workers (dollars) E093 58,626   60,428  
.Median earnings for female full-time, year-round workers (dollars) E094 44,700   49,263  
     
HEALTH INSURANCE COVERAGE      
.Civilian noninstitutionalized population E095 709,892 100.0 326,912,547 100.0
..With health insurance coverage E096 624,145 87.9 298,685,665 91.4
...With private health insurance E097 491,248 69.2 219,074,507 67.0
...With public coverage E098 213,944 30.1 120,198,470 36.8
..No health insurance coverage E099 85,747 12.1 28,226,882 8.6
     
.Civilian noninstitutionalized population under 19 years E100 173,059 100.0 77,830,503 100.0
..No health insurance coverage E101 12,881 7.4 4,164,688 5.4
     
.Civilian noninstitutionalized population 19 to 64 years E102 426,317 100.0 194,340,102 100.0
..In labor force: E103 346,554 100.0 152,120,273 100.0
...Employed: E104 328,342 100.0 142,779,946 100.0
....With health insurance coverage E105 283,577 86.4 127,829,928 89.5
.....With private health insurance E106 273,634 83.3 116,136,040 81.3
.....With public coverage E107 17,402 5.3 16,087,515 11.3
....No health insurance coverage E108 44,765 13.6 14,950,018 10.5
...Unemployed: E109 18,212 100.0 9,340,327 100.0
....With health insurance coverage E110 10,185 55.9 7,048,775 75.5
.....With private health insurance E111 8,158 44.8 3,867,469 41.4
.....With public coverage E112 2,854 15.7 3,523,835 37.7
....No health insurance coverage E113 8,027 44.1 2,291,552 24.5
..Not in labor force: E114 79,763 100.0 42,219,829 100.0
...With health insurance coverage E115 60,237 75.5 35,844,186 84.9
....With private health insurance E116 35,431 44.4 21,241,038 50.3
....With public coverage E117 28,422 35.6 17,509,893 41.5
...No health insurance coverage E118 19,526 24.5 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 8.2   9.1  
..With related children of the householder under 18 years E120 14.5   14.1  
...With related children of the householder under 5 years only E121 9.8   13.0  
..Married couple families E122 3.5   4.7  
...With related children of the householder under 18 years E123 5.7   6.2  
....With related children of the householder under 5 years only E124 2.0   4.8  
..Families with female householder, no spouse present E125 21.3   24.4  
...With related children of the householder under 18 years E126 30.0   33.7  
....With related children of the householder under 5 years only E127 23.9   37.9  
     
.All people E128 12.9   12.8  
..Under 18 years E129 17.4   16.9  
...Related children of the householder under 18 years E130 17.4   16.6  
....Related children of the householder under 5 years E131 19.9   18.3  
....Related children of the householder 5 to 17 years E132 16.4   16.1  
..18 years and over E133 11.5   11.6  
...18 to 64 years E134 12.1   11.9  
...65 years and over E135 9.3   10.3  
..People in families E136 9.7   10.0  
..Unrelated individuals 15 years and over E137 23.0   24.0  


2.4. Housing Situation.. goto topics

2.4.1. New Authorized Residential Construction.. goto topics
.. updated monthly based on data reported by local governments. Compare monthly data for 2020 through August 2022; next update October 26, 2022 (September 2022 data). Table below saved as c:\dede\1\29095bp.csv.
Units in StructureJan-20Feb-20Mar-20Apr-20May-20Jun-20Jul-20Aug-20Sep-20Oct-20Nov-20Dec-20
Single Family, Buildings 112 163 128 142 133 205 191 215 288 187 184 176
Single Family, Units 112 163 128 142 133 205 191 215 288 187 184 176
Single Family, Value 28,674 40,570 29,911 32,510 32,782 43,082 43,565 51,986 59,482 44,335 37,457 43,063
2 Unit, Buildings 8 4 8 0 6 5 36 2 10 5 1 1
2 Unit, Units 16 8 16 0 12 10 72 4 20 10 2 2
2 Unit, Value 925 515 1,072 0 1,748 1,658 6,784 360 1,802 1,042 221 128
3-4 Unit, Buildings 0 1 0 0 1 11 5 4 1 9 1 1
3-4 Unit, Units 0 4 0 0 4 44 20 15 4 36 3 4
3-4 Unit, Value 0 771 0 0 275 5,491 1,337 1,227 716 3,537 461 275
5+ Unit, Buildings 1 26 0 0 2 11 8 13 3 2 2 1
5+ Unit, Units 237 427 0 0 278 245 437 441 212 10 56 5
5+ Unit, Value 37,930 34,539 0 0 42,876 20,667 44,756 25,803 18,800 931 5,607 581

Units in StructureJan-21Feb-21Mar-21Apr-21May-21Jun-21Jul-21Aug-21Sep-21Oct-21Nov-21Dec-21
Single Family, Buildings 132 209 242 209 213 238 176 179 133 186 138 202
Single Family, Units 132 209 242 209 213 238 176 179 133 186 138 202
Single Family, Value 33,247 52,733 64,996 53,052 55,472 62,590 46,962 51,331 38,409 53,157 41,082 54,074
2 Unit, Buildings 0 8 0 7 10 3 6 0 8 4 8 1
2 Unit, Units 0 16 0 14 20 6 12 0 16 8 16 2
2 Unit, Value 0 992 0 771 1,487 1,111 2,735 0 2,381 829 1,065 200
3-4 Unit, Buildings 0 0 4 2 4 3 7 0 2 6 9 1
3-4 Unit, Units 0 0 16 8 12 11 25 0 6 24 36 4
3-4 Unit, Value 0 0 1,786 1,403 2,998 1,561 6,070 0 1,483 6,668 3,880 800
5+ Unit, Buildings 8 0 10 1 1 1 1 1 7 2 6 0
5+ Unit, Units 122 0 365 92 288 5 64 49 243 59 134 0
5+ Unit, Value 18,695 0 41,983 8,974 60,000 560 7,032 6,163 23,844 16,743 8,474 0

Units in StructureJan-22Feb-22Mar-22Apr-22May-22Jun-22Jul-22Aug-22Sep-22Oct-22Nov-22Dec-22
Single Family, Buildings 165 119 175 163 160 165 153 165 0 0 0 0
Single Family, Units 165 119 175 163 160 165 153 165 0 0 0 0
Single Family, Value 47,051 33,235 52,402 47,371 45,941 39,738 38,589 41,601 0 0 0 0
2 Unit, Buildings 2 1 0 6 0 22 25 2 0 0 0 0
2 Unit, Units 4 2 0 12 0 44 50 4 0 0 0 0
2 Unit, Value 398 109 0 1,623 0 3,596 8,025 320 0 0 0 0
3-4 Unit, Buildings 5 2 2 0 1 0 2 13 0 0 0 0
3-4 Unit, Units 19 7 6 0 4 0 6 52 0 0 0 0
3-4 Unit, Value 3,201 654 1,486 0 444 0 982 9,440 0 0 0 0
5+ Unit, Buildings 10 2 3 16 0 1 2 4 0 0 0 0
5+ Unit, Units 349 184 18 293 0 144 379 195 0 0 0 0
5+ Unit, Value 38,335 32,963 4,947 44,697 0 17,853 54,444 24,595 0 0 0 0


2.4.1a. New Authorized Residential Construction.. goto topics
Annual for County
Units in Structure2015201620172018201920202021
Single Family, Buildings 1,602 1,733 1,821 1,772 1,515 2,149 2,301
Single Family, Units 1,602 1,733 1,821 1,772 1,515 2,149 2,301
Single Family, Value 354,313 396,015 413,288 386,012 364,866 490,382 615,625
2 Unit, Buildings 76 34 63 84 94 86 55
2 Unit, Units 152 68 126 168 188 172 110
2 Unit, Value 14,404 7,344 13,116 18,191 15,010 16,255 11,571
3-4 Unit, Buildings 40 79 46 49 17 32 38
3-4 Unit, Units 157 313 182 176 65 128 142
3-4 Unit, Value 14,673 29,837 20,296 19,386 10,253 13,169 26,647
5+ Unit, Buildings 80 45 55 52 52 63 38
5+ Unit, Units 2,361 2,393 1,860 1,448 2,015 2,318 1,421
5+ Unit, Value 230,386 234,735 169,848 128,691 204,180 229,005 192,468


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 333,685 100.0 142,148,050 100.0
..Occupied housing units H002 302,965 90.8 127,544,730 89.7
..Vacant housing units H003 30,720 9.2 14,603,320 10.3
     
..Homeowner vacancy rate H004 0.80   0.90  
..Rental vacancy rate H005 4.50   5.20  
     
UNITS IN STRUCTURE      
.Total housing units H006 333,685 100.0 142,148,050 100.0
..1-unit, detached H007 224,837 67.4 87,804,068 61.8
..1-unit, attached H008 18,742 5.6 8,823,839 6.2
..2 units H009 8,602 2.6 4,698,934 3.3
..3 or 4 units H010 13,876 4.2 6,069,239 4.3
..5 to 9 units H011 12,678 3.8 6,379,448 4.5
..10 to 19 units H012 16,085 4.8 5,996,065 4.2
..20 or more units H013 35,832 10.7 14,201,780 10.0
..Mobile home H014 2,751 0.8 8,008,783 5.6
..Boat, RV, van, etc. H015 282 0.1 165,894 0.1
     
YEAR STRUCTURE BUILT      
.Total housing units H016 333,685 100.0 142,148,050 100.0
..Built 2014 or later H017 2,227 0.7 1,073,629 0.8
..Built 2010 to 2013 H018 22,421 6.7 13,632,007 9.6
..Built 2000 to 2009 H019 29,801 8.9 19,697,259 13.9
..Built 1990 to 1999 H020 30,862 9.2 17,452,834 12.3
..Built 1980 to 1989 H021 34,083 10.2 18,532,262 13.0
..Built 1970 to 1979 H022 47,836 14.3 20,442,202 14.4
..Built 1960 to 1969 H023 44,155 13.2 14,202,613 10.0
..Built 1950 to 1959 H024 42,770 12.8 13,738,856 9.7
..Built 1940 to 1949 H025 18,987 5.7 6,474,803 4.6
..Built 1939 or earlier H026 60,543 18.1 16,901,585 11.9
     
ROOMS      
.Total housing units H027 333,685 100.0 142,148,050 100.0
..1 room H028 5,943 1.8 3,589,031 2.5
..2 rooms H029 12,391 3.7 4,350,654 3.1
..3 rooms H030 25,193 7.5 12,820,515 9.0
..4 rooms H031 50,761 15.2 22,251,103 15.7
..5 rooms H032 67,021 20.1 26,439,561 18.6
..6 rooms H033 65,663 19.7 24,927,199 17.5
..7 rooms H034 39,530 11.8 17,046,581 12.0
..8 rooms H035 28,419 8.5 12,894,229 9.1
..9 rooms or more H036 38,764 11.6 17,829,177 12.5
..Median rooms H037 5.6   5.6  
     
BEDROOMS      
.Total housing units H038 333,685 100.0 142,148,050 100.0
..No bedroom H039 7,101 2.1 3,959,211 2.8
..1 bedroom H040 42,052 12.6 15,384,897 10.8
..2 bedrooms H041 87,751 26.3 35,600,388 25.0
..3 bedrooms H042 131,833 39.5 55,386,244 39.0
..4 bedrooms H043 49,991 15.0 24,894,730 17.5
..5 or more bedrooms H044 14,957 4.5 6,922,580 4.9
     
HOUSING TENURE      
.Occupied housing units H045 302,965 100.0 127,544,730 100.0
..Owner-occupied H046 180,737 59.7 83,396,988 65.4
..Renter-occupied H047 122,228 40.3 44,147,742 34.6
     
..Average household size of owner-occupied unit H048 2.51   2.65  
..Average household size of renter-occupied unit H049 2.06   2.33  
     
YEAR HOUSEHOLDER MOVED INTO UNIT      
.Occupied housing units H050 302,965 100.0 127,544,730 100.0
..Moved in 2017 or later H051 103,146 34.0 34,784,732 27.3
..Moved in 2015 to 2016 H052 70,773 23.4 28,234,034 22.1
..Moved in 2010 to 2014 H053 32,562 10.7 16,462,478 12.9
..Moved in 2000 to 2009 H054 45,511 15.0 22,180,943 17.4
..Moved in 1990 to 1999 H055 23,316 7.7 12,938,673 10.1
..Moved in 1989 and earlier H056 27,657 9.1 12,943,870 10.1
     
VEHICLES AVAILABLE      
.Occupied housing units H057 302,965 100.0 127,544,730 100.0
..No vehicles available H058 19,116 6.3 10,263,494 8.0
..1 vehicle available H059 114,271 37.7 41,959,133 32.9
..2 vehicles available H060 113,759 37.5 47,337,486 37.1
..3 or more vehicles available H061 55,819 18.4 27,984,617 21.9
     
HOUSE HEATING FUEL      
.Occupied housing units H062 302,965 100.0 127,544,730 100.0
..Utility gas H063 213,652 70.5 59,246,257 46.5
..Bottled, tank, or LP gas H064 6,193 2.0 6,326,791 5.0
..Electricity H065 79,022 26.1 52,279,174 41.0
..Fuel oil, kerosene, etc. H066 274 0.1 5,218,757 4.1
..Coal or coke H067 47 0.0 95,160 0.1
..Wood H068 866 0.3 1,792,240 1.4
..Solar energy H069 336 0.1 362,346 0.3
..Other fuel H070 723 0.2 640,525 0.5
..No fuel used H071 1,852 0.6 1,583,480 1.2
     
SELECTED CHARACTERISTICS      
.Occupied housing units H072 302,965 100.0 127,544,730 100.0
..Lacking complete plumbing facilities H073 421 0.1 522,752 0.4
..Lacking complete kitchen facilities H074 1,977 0.7 1,027,179 0.8
..No telephone service available H075 1,571 0.5 1,152,803 0.9
     
OCCUPANTS PER ROOM      
.Occupied housing units H076 302,965 100.0 127,544,730 100.0
..1.00 or less H077 297,881 98.3 123,222,676 96.6
..1.01 to 1.50 H078 3,592 1.2 2,811,853 2.2
..1.51 or more H079 1,492 0.5 1,510,201 1.2
     
VALUE      
.Owner-occupied units H080 180,737 100.0 83,396,988 100.0
..Less than $50,000 H081 9,844 5.4 5,012,399 6.0
..$50,000 to $99,999 H082 20,923 11.6 6,591,730 7.9
..$100,000 to $149,999 H083 27,886 15.4 7,393,172 8.9
..$150,000 to $199,999 H084 30,879 17.1 9,312,599 11.2
..$200,000 to $299,999 H085 44,365 24.5 16,283,130 19.5
..$300,000 to $499,999 H086 35,134 19.4 20,456,170 24.5
..$500,000 to $999,999 H087 10,215 5.7 14,149,578 17.0
..$1,000,000 or more H088 1,491 0.8 4,198,210 5.0
..Median (dollars) H089 201,500   281,400  
     
MORTGAGE STATUS      
.Owner-occupied units H090 180,737 100.0 83,396,988 100.0
..Housing units with a mortgage H091 119,299 66.0 51,114,260 61.3
..Housing units without a mortgage H092 61,438 34.0 32,282,728 38.7
     
SELECTED MONTHLY OWNER COSTS (SMOC)      
.Housing units with a mortgage H093 119,299 100.0 51,114,260 100.0
..Less than $500 H094 1,341 1.1 610,377 1.2
..$500 to $999 H095 22,057 18.5 7,554,733 14.8
..$1,000 to $1,499 H096 43,798 36.7 13,171,613 25.8
..$1,500 to $1,999 H097 28,328 23.7 11,146,103 21.8
..$2,000 to $2,499 H098 11,980 10.0 7,205,428 14.1
..$2,500 to $2,999 H099 6,302 5.3 4,377,761 8.6
..$3,000 or more H100 5,493 4.6 7,048,245 13.8
..Median (dollars) H101 1,413   1,672  
     
.Housing units without a mortgage H102 61,438 100.0 32,282,728 100.0
..Less than $250 H103 4,133 6.7 3,275,543 10.1
..$250 to $399 H104 13,183 21.5 6,595,521 20.4
..$400 to $599 H105 23,062 37.5 8,756,466 27.1
..$600 to $799 H106 11,804 19.2 5,686,328 17.6
..$800 to $999 H107 4,943 8.0 3,229,527 10.0
..$1,000 or more H108 4,313 7.0 4,739,343 14.7
..Median (dollars) H109 505   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 118,751 100.0 50,836,661 100.0
..Less than 20.0 percent H111 63,341 53.3 24,183,280 47.6
..20.0 to 24.9 percent H112 18,940 15.9 7,621,860 15.0
..25.0 to 29.9 percent H113 11,077 9.3 5,016,096 9.9
..30.0 to 34.9 percent H114 6,399 5.4 3,332,250 6.6
..35.0 percent or more H115 18,994 16.0 10,683,175 21.0
     
..Not computed H116 548 -1.0 277,599 -1.0
     
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed) H117 60,784 100.0 31,799,186 100.0
..Less than 10.0 percent H118 27,284 44.9 14,658,010 46.1
..10.0 to 14.9 percent H119 12,627 20.8 6,068,100 19.1
..15.0 to 19.9 percent H120 6,911 11.4 3,345,349 10.5
..20.0 to 24.9 percent H121 4,100 6.7 2,022,803 6.4
..25.0 to 29.9 percent H122 2,917 4.8 1,293,336 4.1
..30.0 to 34.9 percent H123 1,681 2.8 882,995 2.8
..35.0 percent or more H124 5,264 8.7 3,528,593 11.1
     
..Not computed H125 654 -1.0 483,542 -1.0
     
GROSS RENT      
.Occupied units paying rent H126 117,682 100.0 41,991,861 100.0
..Less than $500 H127 7,315 6.2 3,320,529 7.9
..$500 to $999 H128 46,949 39.9 12,202,521 29.1
..$1,000 to $1,499 H129 44,575 37.9 12,853,108 30.6
..$1,500 to $1,999 H130 14,342 12.2 7,483,407 17.8
..$2,000 to $2,499 H131 2,676 2.3 3,236,958 7.7
..$2,500 to $2,999 H132 548 0.5 1,310,696 3.1
..$3,000 or more H133 1,277 1.1 1,584,642 3.8
..Median (dollars) H134 1,044   1,191  
     
..No rent paid H135 4,546 -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 115,352 100.0 40,979,329 100.0
..Less than 15.0 percent H137 15,291 13.3 5,229,582 12.8
..15.0 to 19.9 percent H138 13,900 12.1 5,001,591 12.2
..20.0 to 24.9 percent H139 15,980 13.9 5,122,898 12.5
..25.0 to 29.9 percent H140 13,461 11.7 4,703,786 11.5
..30.0 to 34.9 percent H141 11,597 10.1 3,737,862 9.1
..35.0 percent or more H142 45,123 39.1 17,183,610 41.9
     
..Not computed H143 6,876 -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 23,871 100.0 361,641 100.0 5,850,193,232 100.0 1,244
Total, Federal 10 1 97 0.4 17,135 4.7 323,112,305 5.5 1,450
Total, State 10 2 39 0.2 5,849 1.6 76,477,244 1.3 1,006
Total, Local 10 3 425 1.8 33,463 9.3 433,940,928 7.4 998
Total, Private 10 5 23,310 97.6 305,193 84.4 5,016,662,755 85.8 1,264
Agriculture, forestry, fishing and hunting 11 5 31 0.1 453 0.1 4,431,080 0.1 753
Crop production 111 5 13 0.1 362 0.1 3,462,872 0.1 737
Animal production 112 5 10 0.0 0 0.0 0 0.0 0
Forestry and logging 113 5 1 0.0 0 0.0 0 0.0 0
Agriculture and forestry support activities 115 5 7 0.0 48 0.0 563,910 0.0 897
Mining 21 5 5 0.0 21 0.0 378,520 0.0 1,365
Oil and gas extraction 211 5 2 0.0 0 0.0 0 0.0 0
Mining, except oil and gas 212 5 3 0.0 0 0.0 0 0.0 0
Utilities 22 3 21 0.1 1,295 0.4 19,927,293 0.3 1,184
Utilities 22 5 26 0.1 1,235 0.3 37,527,293 0.6 2,338
Utilities 221 3 21 0.1 1,295 0.4 19,927,293 0.3 1,184
Utilities 221 5 26 0.1 1,235 0.3 37,527,293 0.6 2,338
Construction 23 3 14 0.1 534 0.1 6,759,260 0.1 974
Construction 23 5 1,606 6.7 19,392 5.4 359,476,797 6.1 1,426
Construction of buildings 236 3 1 0.0 0 0.0 0 0.0 0
Construction of buildings 236 5 462 1.9 4,534 1.3 109,685,686 1.9 1,861
Heavy and civil engineering construction 237 3 13 0.1 0 0.0 0 0.0 0
Heavy and civil engineering construction 237 5 82 0.3 2,062 0.6 38,790,512 0.7 1,447
Specialty trade contractors 238 5 1,062 4.4 12,797 3.5 211,000,599 3.6 1,268
Manufacturing 31-33 5 703 2.9 26,659 7.4 467,531,473 8.0 1,349
Food manufacturing 311 5 53 0.2 2,621 0.7 38,756,535 0.7 1,138
Beverage and tobacco product manufacturing 312 5 30 0.1 693 0.2 7,339,349 0.1 814
Textile mills 313 5 3 0.0 84 0.0 1,035,844 0.0 952
Textile product mills 314 5 12 0.1 225 0.1 2,182,537 0.0 745
Apparel manufacturing 315 5 5 0.0 143 0.0 1,210,467 0.0 650
Leather and allied product manufacturing 316 5 3 0.0 7 0.0 37,870 0.0 437
Wood product manufacturing 321 5 15 0.1 314 0.1 3,151,313 0.1 771
Paper manufacturing 322 5 15 0.1 1,494 0.4 20,450,072 0.3 1,053
Printing and related support activities 323 5 69 0.3 678 0.2 7,755,428 0.1 880
Petroleum and coal products manufacturing 324 5 9 0.0 405 0.1 7,189,383 0.1 1,364
Chemical manufacturing 325 5 42 0.2 2,464 0.7 42,300,841 0.7 1,320
Plastics and rubber products manufacturing 326 5 31 0.1 1,773 0.5 25,511,457 0.4 1,107
Nonmetallic mineral product manufacturing 327 5 30 0.1 556 0.2 7,082,719 0.1 979
Primary metal manufacturing 331 5 9 0.0 87 0.0 1,098,832 0.0 968
Fabricated metal product manufacturing 332 5 131 0.5 3,984 1.1 70,267,024 1.2 1,357
Machinery manufacturing 333 5 59 0.2 2,098 0.6 46,401,104 0.8 1,702
Computer and electronic product manufacturing 334 5 31 0.1 5,365 1.5 135,090,581 2.3 1,937
Electrical equipment and appliance manufacturing 335 5 17 0.1 500 0.1 8,560,048 0.1 1,318
Transportation equipment manufacturing 336 5 34 0.1 1,634 0.5 22,336,244 0.4 1,051
Furniture and related product manufacturing 337 5 36 0.2 701 0.2 7,883,288 0.1 865
Miscellaneous manufacturing 339 5 69 0.3 831 0.2 11,890,537 0.2 1,101
Wholesale trade 42 5 985 4.1 11,530 3.2 218,913,738 3.7 1,460
Merchant wholesalers, durable goods 423 5 563 2.4 7,494 2.1 150,014,334 2.6 1,540
Merchant wholesalers, nondurable goods 424 5 238 1.0 3,096 0.9 52,042,353 0.9 1,293
Electronic markets and agents and brokers 425 5 184 0.8 940 0.3 16,857,051 0.3 1,379
Retail trade 44-45 1 1 0.0 19 0.0 191,138 0.0 788
Retail trade 44-45 5 2,134 8.9 34,483 9.5 318,378,846 5.4 710
Motor vehicle and parts dealers 441 5 297 1.2 5,007 1.4 81,044,355 1.4 1,245
Building material and garden supply stores 444 5 132 0.6 2,969 0.8 27,215,978 0.5 705
Food and beverage stores 445 1 1 0.0 19 0.0 191,138 0.0 788
Food and beverage stores 445 5 245 1.0 6,684 1.8 42,567,969 0.7 490
Food and beverage stores 449 5 177 0.7 1,838 0.5 20,894,095 0.4 874
Food and beverage stores 455 5 173 0.7 7,199 2.0 54,382,220 0.9 581
Food and beverage stores 456 5 285 1.2 2,566 0.7 24,831,169 0.4 744
Food and beverage stores 457 5 241 1.0 2,375 0.7 30,575,154 0.5 990
Food and beverage stores 458 5 234 1.0 2,362 0.7 13,402,375 0.2 436
Food and beverage stores 459 5 350 1.5 3,483 1.0 23,465,531 0.4 518
Transportation and warehousing 48-49 1 26 0.1 2,580 0.7 41,974,392 0.7 1,251
Transportation and warehousing 48-49 3 11 0.0 1,723 0.5 21,371,230 0.4 954
Transportation and warehousing 48-49 5 483 2.0 9,568 2.6 132,390,939 2.3 1,064
Air transportation 481 5 3 0.0 16 0.0 458,834 0.0 2,161
Water transportation 483 5 1 0.0 0 0.0 0 0.0 0
Truck transportation 484 5 267 1.1 3,580 1.0 53,094,321 0.9 1,141
Transit and ground passenger transportation 485 3 7 0.0 1,275 0.4 16,360,677 0.3 987
Transit and ground passenger transportation 485 5 33 0.1 911 0.3 7,037,557 0.1 594
Pipeline transportation 486 5 1 0.0 0 0.0 0 0.0 0
Scenic and sightseeing transportation 487 5 5 0.0 72 0.0 537,984 0.0 572
Support activities for transportation 488 3 2 0.0 0 0.0 0 0.0 0
Support activities for transportation 488 5 82 0.3 1,912 0.5 37,641,975 0.6 1,514
Postal service 491 1 26 0.1 2,580 0.7 41,974,392 0.7 1,251
Couriers and messengers 492 5 27 0.1 887 0.2 8,437,519 0.1 731
Warehousing and storage 493 3 2 0.0 0 0.0 0 0.0 0
Warehousing and storage 493 5 64 0.3 2,162 0.6 24,386,924 0.4 868
Information 51 1 1 0.0 65 0.0 1,066,786 0.0 1,269
Information 51 3 26 0.1 749 0.2 6,452,170 0.1 662
Information 51 5 368 1.5 6,376 1.8 136,798,491 2.3 1,650
Motion picture and sound recording industries 512 5 52 0.2 328 0.1 2,474,430 0.0 580
Motion picture and sound recording industries 513 5 112 0.5 926 0.3 18,148,192 0.3 1,508
Internet publishing and broadcasting 516 5 27 0.1 995 0.3 22,806,813 0.4 1,764
Telecommunications 517 5 95 0.4 2,264 0.6 48,710,790 0.8 1,655
ISPs, search portals, and data processing 518 5 61 0.3 1,752 0.5 42,865,223 0.7 1,882
Other information services 519 1 1 0.0 65 0.0 1,066,786 0.0 1,269
Other information services 519 3 26 0.1 749 0.2 6,452,170 0.1 662
Other information services 519 5 21 0.1 111 0.0 1,793,043 0.0 1,239
Finance and insurance 52 1 1 0.0 183 0.1 6,368,760 0.1 2,672
Finance and insurance 52 3 1 0.0 0 0.0 0 0.0 0
Finance and insurance 52 5 1,205 5.0 22,730 6.3 716,875,999 12.3 2,426
Monetary authorities - central bank 521 5 5 0.0 0 0.0 0 0.0 0
Credit intermediation and related activities 522 5 404 1.7 6,777 1.9 183,465,530 3.1 2,083
Securities, commodity contracts, investments 523 3 1 0.0 0 0.0 0 0.0 0
Securities, commodity contracts, investments 523 5 268 1.1 3,186 0.9 187,572,556 3.2 4,528
Insurance carriers and related activities 524 1 1 0.0 183 0.1 6,368,760 0.1 2,672
Insurance carriers and related activities 524 5 527 2.2 11,156 3.1 306,982,413 5.2 2,117
Funds, trusts, and other financial vehicles 525 5 1 0.0 0 0.0 0 0.0 0
Real estate and rental and leasing 53 5 980 4.1 5,728 1.6 101,418,580 1.7 1,362
Real estate 531 5 847 3.5 4,606 1.3 88,538,750 1.5 1,479
Rental and leasing services 532 5 126 0.5 1,087 0.3 12,280,986 0.2 869
Lessors of nonfinancial intangible assets 533 5 7 0.0 35 0.0 598,844 0.0 1,304
Professional and technical services 54 1 2 0.0 530 0.1 11,228,978 0.2 1,629
Professional and technical services 54 5 2,605 10.9 37,080 10.3 851,648,634 14.6 1,767
Professional and technical services 541 1 2 0.0 530 0.1 11,228,978 0.2 1,629
Professional and technical services 541 5 2,605 10.9 37,080 10.3 851,648,634 14.6 1,767
Management of companies and enterprises 55 5 160 0.7 7,158 2.0 255,285,028 4.4 2,743
Management of companies and enterprises 551 5 160 0.7 7,158 2.0 255,285,028 4.4 2,743
Administrative and waste services 56 3 9 0.0 199 0.1 2,158,672 0.0 833
Administrative and waste services 56 5 1,079 4.5 14,062 3.9 138,068,560 2.4 755
Administrative and support services 561 3 7 0.0 0 0.0 0 0.0 0
Administrative and support services 561 5 1,012 4.2 12,937 3.6 121,201,029 2.1 721
Waste management and remediation services 562 3 2 0.0 0 0.0 0 0.0 0
Waste management and remediation services 562 5 67 0.3 1,124 0.3 16,867,531 0.3 1,154
Educational services 61 2 3 0.0 0 0.0 0 0.0 0
Educational services 61 3 235 1.0 15,831 4.4 182,410,681 3.1 886
Educational services 61 5 250 1.0 6,529 1.8 70,349,534 1.2 829
Educational services 611 2 3 0.0 0 0.0 0 0.0 0
Educational services 611 3 235 1.0 15,831 4.4 182,410,681 3.1 886
Educational services 611 5 250 1.0 6,529 1.8 70,349,534 1.2 829
Health care and social assistance 62 1 1 0.0 2,108 0.6 46,501,737 0.8 1,697
Health care and social assistance 62 2 4 0.0 0 0.0 0 0.0 0
Health care and social assistance 62 3 11 0.0 5,080 1.4 69,847,858 1.2 1,058
Health care and social assistance 62 5 7,155 30.0 51,959 14.4 779,444,262 13.3 1,154
Ambulatory health care services 621 2 1 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 1,182 5.0 16,287 4.5 304,760,442 5.2 1,439
Hospitals 622 1 1 0.0 2,108 0.6 46,501,737 0.8 1,697
Hospitals 622 2 1 0.0 0 0.0 0 0.0 0
Hospitals 622 3 3 0.0 0 0.0 0 0.0 0
Hospitals 622 5 34 0.1 17,510 4.8 339,171,393 5.8 1,490
Nursing and residential care facilities 623 2 1 0.0 0 0.0 0 0.0 0
Nursing and residential care facilities 623 3 1 0.0 0 0.0 0 0.0 0
Nursing and residential care facilities 623 5 212 0.9 7,237 2.0 66,571,827 1.1 708
Social assistance 624 2 1 0.0 0 0.0 0 0.0 0
Social assistance 624 3 5 0.0 271 0.1 2,965,631 0.1 842
Social assistance 624 5 5,727 24.0 10,925 3.0 68,940,600 1.2 485
Arts, entertainment, and recreation 71 1 1 0.0 15 0.0 222,023 0.0 1,139
Arts, entertainment, and recreation 71 2 1 0.0 0 0.0 0 0.0 0
Arts, entertainment, and recreation 71 3 10 0.0 659 0.2 3,578,533 0.1 418
Arts, entertainment, and recreation 71 5 302 1.3 5,563 1.5 96,594,208 1.7 1,336
Performing arts and spectator sports 711 3 1 0.0 0 0.0 0 0.0 0
Performing arts and spectator sports 711 5 121 0.5 2,417 0.7 75,078,609 1.3 2,389
Museums, historical sites, zoos, and parks 712 1 1 0.0 15 0.0 222,023 0.0 1,139
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 18 0.1 763 0.2 8,228,833 0.1 829
Amusements, gambling, and recreation 713 2 1 0.0 0 0.0 0 0.0 0
Amusements, gambling, and recreation 713 3 8 0.0 594 0.2 2,878,068 0.0 373
Amusements, gambling, and recreation 713 5 163 0.7 2,383 0.7 13,286,766 0.2 429
Accommodation and food services 72 5 1,652 6.9 33,478 9.3 205,052,919 3.5 471
Accommodation 721 5 112 0.5 3,014 0.8 25,571,712 0.4 653
Food services and drinking places 722 5 1,540 6.5 30,464 8.4 179,481,207 3.1 453
Other services, except public administration 81 3 6 0.0 0 0.0 0 0.0 0
Other services, except public administration 81 5 1,581 6.6 11,190 3.1 126,097,854 2.2 867
Repair and maintenance 811 3 1 0.0 0 0.0 0 0.0 0
Repair and maintenance 811 5 488 2.0 3,288 0.9 36,380,907 0.6 851
Personal and laundry services 812 3 4 0.0 26 0.0 237,410 0.0 702
Personal and laundry services 812 5 529 2.2 3,967 1.1 30,594,313 0.5 593
Membership associations and organizations 813 3 1 0.0 0 0.0 0 0.0 0
Membership associations and organizations 813 5 322 1.3 3,645 1.0 57,317,027 1.0 1,210
Private households 814 5 242 1.0 290 0.1 1,805,607 0.0 478
Public administration 92 1 64 0.3 11,635 3.2 215,558,491 3.7 1,425
Public administration 92 2 31 0.1 0 0.0 0 0.0 0
Public administration 92 3 81 0.3 7,251 2.0 119,737,935 2.0 1,270
Executive, legislative and general government 921 1 4 0.0 4,868 1.3 64,874,658 1.1 1,025
Executive, legislative and general government 921 2 5 0.0 103 0.0 1,241,394 0.0 927
Executive, legislative and general government 921 3 28 0.1 1,906 0.5 25,081,866 0.4 1,012
Justice, public order, and safety activities 922 1 9 0.0 1,225 0.3 30,349,578 0.5 1,905
Justice, public order, and safety activities 922 2 6 0.0 846 0.2 10,542,046 0.2 959
Justice, public order, and safety activities 922 3 31 0.1 4,803 1.3 86,935,212 1.5 1,392
Administration of human resource programs 923 1 18 0.1 2,226 0.6 43,023,560 0.7 1,487
Administration of human resource programs 923 2 12 0.1 649 0.2 6,738,465 0.1 799
Administration of human resource programs 923 3 3 0.0 21 0.0 415,922 0.0 1,524
Administration of environmental programs 924 1 4 0.0 145 0.0 3,324,691 0.1 1,764
Administration of environmental programs 924 2 1 0.0 0 0.0 0 0.0 0
Administration of environmental programs 924 3 4 0.0 11 0.0 55,220 0.0 386
Community and housing program administration 925 2 1 0.0 0 0.0 0 0.0 0
Community and housing program administration 925 3 10 0.0 434 0.1 6,349,526 0.1 1,126
Administration of economic programs 926 1 22 0.1 1,886 0.5 47,510,798 0.8 1,938
Administration of economic programs 926 2 6 0.0 0 0.0 0 0.0 0
Administration of economic programs 926 3 5 0.0 76 0.0 900,189 0.0 907
National security and international affairs 928 1 7 0.0 1,285 0.4 26,475,206 0.5 1,585

4.1 Census Tract Demographic-Economic Characteristics .. goto topics
Thematic Pattern & Reference Maps for Jackson County, MO & 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 29095 .. 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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