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  Situation & Outlook Report
  Oklahoma County, OK  
  .. an information resource developed by ProximityOne .. more about these resources
  .. created 11/06/22

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 Oklahoma County, OK.
.. See more details using the table of contents below this summary.

Metro Counties and Population Change; 2010-2030
Oklahoma County, OK is part of the Oklahoma City, OK metro/CBSA (36420).
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
  Canadian County, OK116,360155,507161,737167,078209,80239,14733.654,29534.9
  Cleveland County, OK257,094296,019297,597299,326313,15838,92515.117,1395.8
  Grady County, OK52,43454,80555,50855,88658,9102,3714.54,1057.5
  Lincoln County, OK34,35533,46933,82934,03535,679-886-2.62,2106.6
  Logan County, OK42,04549,72650,88551,81359,2337,68118.39,50719.1
  McClain County, OK34,73741,88743,51644,78954,9737,15020.613,08631.2
  Oklahoma County, OK720,779797,296798,575801,089821,20176,51710.623,9053.0

Residential Construction. September 2022 new authorized residential construction was 253 total units with total value of $90,864,953 compared to September 2021 436 total units with total value of $108,872,596. 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 319,909 (2010) to 346,985 (2020), a change of 27,076 (8.5%). 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 Oklahoma County, OK changed from 720,779 (2010) to 804,041 (2020), a change of 83,262 (11.6%).

Components of population change during the 2010-2020 period were births 119,022, deaths 70,547, and net migration 34,673. The population natural increase, births less deaths, was 48,475.

The 7/1/20 model-based population estimate was 797,296 compared to the 7/1/21 model-based population estimate of 798,575. Components of change over the year were births 10,809, deaths 8,767, international migration 343, domestic migration -1,277. The net migration was -934. The natural increase was 2,042.

Income. The median household income changed from $42,758 in 2010 to $55,332, a change of $12,574 ( 29.4%).

Poverty. The number of people in poverty (all ages) changed from 123,967 in 2010 to 119,595, a change of -4,372 ( -3.5%). The poverty rate (all ages) changed from 17.6 in 2010 to 15.2, a change of -2.4 ( -13.6%).

Oklahoma City city .. the largest city in Oklahoma County, OK. The 7/1/20 model-based population estimate of Oklahoma City city was 681,387 compared to the 7/1/21 model-based population estimate of 682,760, a change of 1,373 or 0.2%. See more about Oklahoma 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.

Oklahoma 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$42,75849,20527.6178,57131,02125.2123,330123,96717.6706,333
2011$43,10147,70326.1182,99828,86122.9125,883137,49519.2717,471
2012$43,62350,70027.4184,92533,59526.3127,971138,56119.1726,330
2013$45,98849,53826.2188,87031,80024.4130,502129,25617.5739,755
2014$48,22648,69425.4191,68532,08124.2132,496134,34617.9750,143
2015$49,75046,09223.5196,20430,02722.2135,357123,51516.2761,431
2016$51,08248,23324.3198,46530,55122.1138,193124,83416.3767,864
2017$51,38945,28122.8198,89030,69122.0139,645122,95315.9772,365
2018$52,34650,60025.4198,98233,93724.1140,789131,18516.9776,367
2019$56,27238,18119.2198,74426,61818.8141,847116,74114.9781,816
2020$55,33239,52019.9198,99626,91018.8143,182119,59515.2788,689

Oklahoma
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$42,076223,34924.4914,863146,68122.5650,833613,06716.83,646,869
2011$43,232219,85323.9921,039141,72421.6654,957636,08317.33,678,912
2012$44,336221,66424.1919,649145,82922.1659,516636,13417.23,699,655
2013$45,724221,02423.8929,261144,86721.7666,842624,20916.73,735,214
2014$47,524209,02222.4931,886141,06521.1669,691623,16216.63,759,494
2015$48,595207,53922.0943,228138,42220.4677,371608,50716.03,795,734
2016$49,204212,70022.5945,065143,61521.1680,086615,05016.13,809,426
2017$50,051200,44721.3940,578136,93720.1681,378600,91115.83,815,034
2018$51,914200,39921.4935,776135,07319.9680,142593,93615.53,825,031
2019$54,447183,99919.7933,976125,76618.4682,377578,63115.13,841,758
2020$54,512173,40518.6934,364118,44017.3685,527552,16814.33,866,001

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 Oklahoma County, OK to other areas using this interactive table.

Examine GDP components and compare Oklahoma County, OK to other areas using this interactive table.

02. How & Why Oklahoma County, OK is Changing .. goto topics
Oklahoma County, OK (40109), part of Oklahoma City, OK MSA (36420), changed in population from 720,779 (2010) to 804,041 (2020), a change of 83,262 (11.6%).
Factors accounting the change over the decade 2010 to 2020 include:
  • Births 2010-2020: 119,022
  • Deaths 2010-2020: 70,547
  • Natural Increase 2010-2020: 48,475
  • Net Migration 2010-2020: 34,673

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

Population 7/1/20 797,296
  Births 6/30/19-7/1/20 10,724
  Deaths 6/30/19-7/1/20 9,092
  Natural Increase 6/30/19-7/1/20 1,632
  International Migration 6/30/19-7/1/20 140
  Domestic Migration 6/30/19-7/1/20 2,148
  Net Migration 6/30/19-7/1/20 2,288
 
Population 7/1/21 798,575
  Births 6/30/20-7/1/21 10,809
  Deaths 6/30/20-7/1/21 8,767
  Natural Increase 6/30/20-7/1/21 2,042
  International Migration 6/30/20-7/1/21 343
  Domestic Migration 6/30/20-7/1/21 -1,277
  Net Migration 6/30/20-7/1/21 -934

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
Oklahoma County, OK .. 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 718,633 100.0 796,292 100.0 77,659 10.8
  One race 680,576 94.7 693,263 87.1 12,687 1.9
    White alone 464,387 64.6 437,129 54.9 -27,258 -5.9
    Black alone 110,890 15.4 120,320 15.1 9,430 8.5
    American India/Alaskan Native alone 25,119 3.5 27,075 3.4 1,956 7.8
    Asian alone 21,454 3.0 28,178 3.5 6,724 31.3
    Native Hawaiian and Other Pacific Islander alone 780 0.1 1,304 0.2 524 67.2
    Other race 57,946 8.1 79,257 10.0 21,311 36.8
  Two or more races 38,057 5.3 103,029 12.9 64,972 170.7
  White, Non-Hispanic 425,791 59.3 407,986 51.2 -17,805 -4.2
  Black Non-Hispanic 108,954 15.2 117,957 14.8 9,003 8.3
  Hispanic (of any race) 108,543 15.1 153,498 19.3 44,955 41.4
Total population, 18 years or older 537,515 74.8 601,822 75.6 64,307 12.0
  One race 517,724 72.0 537,727 67.5 20,003 3.9
    White alone 369,199 51.4 354,771 44.6 -14,428 -3.9
    Black alone 77,751 10.8 87,964 11.0 10,213 13.1
    American India/Alaskan Native alone 17,758 2.5 19,766 2.5 2,008 11.3
    Asian alone 16,539 2.3 22,215 2.8 5,676 34.3
    Native Hawaiian and Other Pacific Islander alone 567 0.1 892 0.1 325 57.3
    Other race 35,910 5.0 52,119 6.5 16,209 45.1
  Two or more races 19,791 2.8 64,095 8.0 44,304 223.9
  White, Non-Hispanic 345,589 48.1 337,297 42.4 -8,292 -2.4
  Black Non-Hispanic 76,812 10.7 86,932 10.9 10,120 13.2
  Hispanic (of any race) 65,014 9.0 96,601 12.1 31,587 48.6
Group Quarters population 15,025 2.1 15,945 2.0 920 6.1
  Group Quarters, institutionalized population 7,644 1.1 8,330 1.0 686 9.0
  Group Quarters, noninstitutionalized population 7,381 1.0 7,615 1.0 234 3.2
Housing Units 319,828 100.0 352,544 100.0 32,716 10.2
  Occupied 287,598 89.9 317,334 90.0 29,736 10.3
  Vacant 32,230 10.1 35,210 10.0 2,980 9.2


1.1 Population & Components of Change .. goto topics
Based on Census Bureau model-based population estimates, the Oklahoma County, OK population changed from 720,779 in 2010 to 804,041 in 2020, a change of 83,262 (11.6%).
Population/Component 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Population 720,779 730,890 743,477 756,286 766,928 777,406 784,684 786,126 790,926 797,563 804,041
Births 2,997 11,910 11,930 12,394 12,337 12,555 12,410 11,615 11,421 11,256 11,194
Deaths 1,519 6,802 6,525 6,875 7,062 6,934 6,957 7,161 7,359 7,189 7,683
Natural Increase 1,478 5,108 5,405 5,519 5,275 5,621 5,453 4,454 4,062 4,067 3,511
Net Migration 926 5,005 7,082 7,196 5,377 4,893 1,868 -2,986 763 2,546 2,929
    International 429 2,336 2,423 2,015 2,186 3,056 2,391 1,333 1,286 857 692
    Domestic 692 497 2,669 4,659 5,181 3,191 1,837 -523 -4,319 -523 1,689
Group Quarters 15,022 15,014 14,925 14,889 14,790 14,721 14,751 14,810 14,864 14,796 14,800

Examine population estimates/components of change and compare Oklahoma County, OK 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
Edmond city 4023200 81,451 82,910 84,877 86,926 88,599 90,118 91,388 91,700 92,893 94,054  
Arcadia town 4002550 243 247 253 257 260 263 265 266 268 270  
Bethany city 4005700 19,062 19,209 19,416 19,524 19,523 19,518 19,485 19,327 19,244 19,221  
Choctaw city 4014200 11,198 11,400 11,651 11,870 12,014 12,205 12,404 12,461 12,561 12,674  
Del City city 4019900 21,377 21,592 21,855 21,978 21,983 21,981 21,931 21,782 21,735 21,712  
Forest Park town 4026850 1,003 1,024 1,036 1,044 1,060 1,076 1,069 1,072 1,067 1,065  
Harrah city 4032750 5,068 5,164 5,370 5,558 5,699 5,867 6,031 6,238 6,360 6,499  
Jones town 4038350 2,707 2,759 2,817 2,873 2,894 2,972 3,038 3,090 3,136 3,169  
Lake Aluma town 4040800 88 89 90 91 91 89 89 91 91 91  
Luther town 4044500 1,239 1,313 1,366 1,426 1,472 1,553 1,619 1,681 1,743 1,759  
Midwest City city 4048350 54,586 55,386 56,232 56,835 57,095 57,289 57,417 57,165 57,186 57,407  
Nichols Hills city 4051800 3,697 3,728 3,793 3,825 3,841 3,853 3,874 3,859 3,889 3,938  
Nicoma Park city 4051850 2,411 2,439 2,469 2,492 2,489 2,490 2,493 2,479 2,472 2,467  
Oklahoma City city (part) 4055000 473,348 479,650 487,488 496,254 504,286 512,168 517,358 518,770 521,590 526,410  
Smith Village town 4068200 71 72 75 76 76 76 78 78 78 78  
Spencer city 4069200 3,926 3,956 3,999 4,031 4,032 4,033 4,026 3,991 3,975 3,968  
The Village city 4073250 8,971 9,041 9,168 9,270 9,328 9,389 9,416 9,405 9,469 9,564  
Valley Brook town 4076500 776 782 790 794 791 790 788 779 775 771  
Warr Acres city 4078500 9,920 10,006 10,150 10,219 10,238 10,252 10,243 10,159 10,128 10,118  
Woodlawn Park town 4082000 152 149 151 151 153 153 153 152 152 152  
Balance of Oklahoma County 4099990 19,471 19,890 20,357 20,695 20,957 21,235 21,444 21,528 21,783 22,043  

Examine city/place population estimates and compare places in Oklahoma County, OK to other areas using this interactive table.
.. use the county code 40109 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 837 mover partner areas for Oklahoma County, OK. There were a total inbound movers of 51330 and a total outbound movers of 48310, for a net movers of -1053 (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_40109.dbf.
Residence 1 Year Age Geocode Moved to 40109 Moved from 40109 Net Movers
Africa null 311 null null
Asia null 1093 null null
Central America null 1603 null null
Caribbean null 35 null null
Europe null 814 null null
U.S. Island Areas null 50 null null
Northern America null 57 null null
Oceania and At Sea null 16 null null
South America null 94 null null
Covington County, Alabama 01039 0 1 -1
Cullman County, Alabama 01043 0 7 -7
Jefferson County, Alabama 01073 17 0 17
Lauderdale County, Alabama 01077 0 25 -25
Madison County, Alabama 01089 30 0 30
Marshall County, Alabama 01095 5 0 5
Mobile County, Alabama 01097 0 45 -45
Montgomery County, Alabama 01101 0 26 -26
Pickens County, Alabama 01107 0 8 -8
St. Clair County, Alabama 01115 11 0 11
Shelby County, Alabama 01117 22 0 22
Tuscaloosa County, Alabama 01125 18 0 18
Anchorage Municipality, Alaska 02020 87 146 -59
Fairbanks North Star Borough, Alaska 02090 0 16 -16
Matanuska-Susitna Borough, Alaska 02170 0 4 -4
Cochise County, Arizona 04003 0 26 -26
Coconino County, Arizona 04005 0 22 -22
Gila County, Arizona 04007 0 13 -13
La Paz County, Arizona 04012 41 0 41
Maricopa County, Arizona 04013 526 322 204
Mohave County, Arizona 04015 0 72 -72
Pima County, Arizona 04019 129 87 42
Pinal County, Arizona 04021 0 43 -43
Yavapai County, Arizona 04025 98 183 -85
Yuma County, Arizona 04027 10 31 -21
Baxter County, Arkansas 05005 11 0 11
Benton County, Arkansas 05007 106 100 6
Clark County, Arkansas 05019 0 5 -5
Craighead County, Arkansas 05031 52 0 52
Crawford County, Arkansas 05033 0 7 -7
Dallas County, Arkansas 05039 1 0 1
Faulkner County, Arkansas 05045 122 0 122
Franklin County, Arkansas 05047 0 7 -7
Garland County, Arkansas 05051 9 41 -32
Jefferson County, Arkansas 05069 0 9 -9
Johnson County, Arkansas 05071 0 33 -33
Logan County, Arkansas 05083 0 10 -10
Marion County, Arkansas 05089 0 16 -16
Pope County, Arkansas 05115 67 17 50
Pulaski County, Arkansas 05119 173 0 173
Saline County, Arkansas 05125 32 85 -53
Scott County, Arkansas 05127 0 13 -13
Searcy County, Arkansas 05129 11 0 11
Sebastian County, Arkansas 05131 54 30 24
Washington County, Arkansas 05143 199 66 133
White County, Arkansas 05145 12 17 -5
Alameda County, California 06001 109 10 99
Amador County, California 06005 0 6 -6
Contra Costa County, California 06013 24 64 -40
Fresno County, California 06019 0 21 -21
Kern County, California 06029 41 92 -51
Kings County, California 06031 0 55 -55
Lake County, California 06033 79 0 79
Lassen County, California 06035 0 10 -10
Los Angeles County, California 06037 271 489 -218
Madera County, California 06039 0 8 -8
Marin County, California 06041 0 9 -9
Monterey County, California 06053 217 19 198
Napa County, California 06055 23 0 23
Nevada County, California 06057 29 0 29
Orange County, California 06059 89 8 81
Placer County, California 06061 0 7 -7
Riverside County, California 06065 30 151 -121
Sacramento County, California 06067 328 0 328
San Bernardino County, California 06071 76 228 -152
San Diego County, California 06073 259 209 50
San Joaquin County, California 06077 18 0 18
San Luis Obispo County, California 06079 35 0 35
San Mateo County, California 06081 11 40 -29
Santa Barbara County, California 06083 0 81 -81
Santa Clara County, California 06085 7 17 -10
Shasta County, California 06089 67 0 67
Siskiyou County, California 06093 0 13 -13
Solano County, California 06095 31 0 31
Sonoma County, California 06097 13 6 7
Stanislaus County, California 06099 10 3 7
Tehama County, California 06103 0 16 -16
Ventura County, California 06111 9 0 9
Adams County, Colorado 08001 24 16 8
Arapahoe County, Colorado 08005 139 104 35
Boulder County, Colorado 08013 0 3 -3
Costilla County, Colorado 08023 0 6 -6
Custer County, Colorado 08027 73 0 73
Denver County, Colorado 08031 296 132 164
Douglas County, Colorado 08035 0 14 -14
Eagle County, Colorado 08037 28 0 28
Elbert County, Colorado 08039 0 15 -15
El Paso County, Colorado 08041 282 205 77
Fremont County, Colorado 08043 0 4 -4
Jefferson County, Colorado 08059 30 132 -102
La Plata County, Colorado 08067 35 0 35
Larimer County, Colorado 08069 55 37 18
Las Animas County, Colorado 08071 5 0 5
Mesa County, Colorado 08077 23 88 -65
Montrose County, Colorado 08085 0 17 -17
Morgan County, Colorado 08087 0 16 -16
Otero County, Colorado 08089 80 0 80
Pueblo County, Colorado 08101 81 0 81
Weld County, Colorado 08123 125 0 125
Hartford County, Connecticut 09003 8 44 -36
Windham County, Connecticut 09015 62 0 62
New Castle County, Delaware 10003 33 0 33
District of Columbia, District of Columbia 11001 33 0 33
Bay County, Florida 12005 4 67 -63
Brevard County, Florida 12009 10 0 10
Broward County, Florida 12011 168 0 168
Clay County, Florida 12019 57 0 57
Collier County, Florida 12021 5 12 -7
Columbia County, Florida 12023 0 53 -53
Duval County, Florida 12031 65 74 -9
Escambia County, Florida 12033 136 63 73
Hendry County, Florida 12051 64 0 64
Hillsborough County, Florida 12057 27 73 -46
Indian River County, Florida 12061 18 0 18
Lake County, Florida 12069 31 127 -96
Lee County, Florida 12071 0 134 -134
Leon County, Florida 12073 0 22 -22
Manatee County, Florida 12081 122 13 109
Marion County, Florida 12083 4 0 4
Miami-Dade County, Florida 12086 91 10 81
Okaloosa County, Florida 12091 24 0 24
Orange County, Florida 12095 64 36 28
Pasco County, Florida 12101 18 41 -23
Pinellas County, Florida 12103 0 13 -13
Polk County, Florida 12105 155 45 110
St. Johns County, Florida 12109 0 10 -10
St. Lucie County, Florida 12111 0 358 -358
Santa Rosa County, Florida 12113 0 94 -94
Sarasota County, Florida 12115 0 105 -105
Seminole County, Florida 12117 10 34 -24
Bibb County, Georgia 13021 23 0 23
Catoosa County, Georgia 13047 0 1 -1
Chatham County, Georgia 13051 0 30 -30
Chattooga County, Georgia 13055 0 25 -25
Cherokee County, Georgia 13057 0 31 -31
Cobb County, Georgia 13067 20 25 -5
Columbia County, Georgia 13073 17 0 17
Coweta County, Georgia 13077 0 11 -11
Crisp County, Georgia 13081 0 11 -11
DeKalb County, Georgia 13089 0 88 -88
Fannin County, Georgia 13111 0 23 -23
Floyd County, Georgia 13115 51 0 51
Fulton County, Georgia 13121 179 90 89
Gwinnett County, Georgia 13135 104 0 104
Houston County, Georgia 13153 34 0 34
Liberty County, Georgia 13179 13 0 13
Lowndes County, Georgia 13185 0 54 -54
Muscogee County, Georgia 13215 0 64 -64
Paulding County, Georgia 13223 20 0 20
Spalding County, Georgia 13255 0 117 -117
Stewart County, Georgia 13259 0 9 -9
Towns County, Georgia 13281 0 42 -42
Troup County, Georgia 13285 6 4 2
Honolulu County, Hawaii 15003 8 42 -34
Ada County, Idaho 16001 0 25 -25
Bonneville County, Idaho 16019 1 0 1
Elmore County, Idaho 16039 12 30 -18
Kootenai County, Idaho 16055 25 0 25
Madison County, Idaho 16065 16 5 11
Payette County, Idaho 16075 0 256 -256
Cook County, Illinois 17031 343 45 298
DuPage County, Illinois 17043 4 0 4
Grundy County, Illinois 17063 7 0 7
Jo Daviess County, Illinois 17085 0 6 -6
Lake County, Illinois 17097 87 0 87
McHenry County, Illinois 17111 0 39 -39
Madison County, Illinois 17119 0 25 -25
Peoria County, Illinois 17143 9 0 9
Rock Island County, Illinois 17161 0 27 -27
St. Clair County, Illinois 17163 28 123 -95
Tazewell County, Illinois 17179 37 21 16
Vermilion County, Illinois 17183 0 5 -5
Wayne County, Illinois 17191 10 0 10
Will County, Illinois 17197 66 31 35
Williamson County, Illinois 17199 2 0 2
Winnebago County, Illinois 17201 4 40 -36
Woodford County, Illinois 17203 0 7 -7
Floyd County, Indiana 18043 18 0 18
Hamilton County, Indiana 18057 160 0 160
Lake County, Indiana 18089 30 44 -14
Madison County, Indiana 18095 0 46 -46
Marion County, Indiana 18097 15 142 -127
Porter County, Indiana 18127 0 50 -50
St. Joseph County, Indiana 18141 39 0 39
Vanderburgh County, Indiana 18163 14 28 -14
Vigo County, Indiana 18167 0 10 -10
Warrick County, Indiana 18173 9 0 9
White County, Indiana 18181 0 29 -29
Buchanan County, Iowa 19019 0 4 -4
Buena Vista County, Iowa 19021 0 20 -20
Dubuque County, Iowa 19061 21 0 21
Floyd County, Iowa 19067 21 0 21
Jasper County, Iowa 19099 0 2 -2
Johnson County, Iowa 19103 11 0 11
Montgomery County, Iowa 19137 0 3 -3
Palo Alto County, Iowa 19147 0 9 -9
Plymouth County, Iowa 19149 21 0 21
Polk County, Iowa 19153 29 12 17
Pottawattamie County, Iowa 19155 0 7 -7
Scott County, Iowa 19163 18 0 18
Story County, Iowa 19169 27 0 27
Warren County, Iowa 19181 0 4 -4
Webster County, Iowa 19187 0 8 -8
Woodbury County, Iowa 19193 30 0 30
Allen County, Kansas 20001 20 0 20
Atchison County, Kansas 20005 22 38 -16
Butler County, Kansas 20015 61 68 -7
Coffey County, Kansas 20031 0 2 -2
Cowley County, Kansas 20035 12 143 -131
Crawford County, Kansas 20037 0 20 -20
Douglas County, Kansas 20045 139 55 84
Ellis County, Kansas 20051 15 125 -110
Finney County, Kansas 20055 11 0 11
Ford County, Kansas 20057 0 17 -17
Geary County, Kansas 20061 32 0 32
Gray County, Kansas 20069 0 4 -4
Harvey County, Kansas 20079 13 23 -10
Jackson County, Kansas 20085 0 92 -92
Johnson County, Kansas 20091 300 118 182
Labette County, Kansas 20099 0 6 -6
Leavenworth County, Kansas 20103 15 13 2
Lyon County, Kansas 20111 0 21 -21
McPherson County, Kansas 20113 0 11 -11
Marion County, Kansas 20115 0 5 -5
Meade County, Kansas 20119 7 0 7
Montgomery County, Kansas 20125 19 0 19
Morton County, Kansas 20129 10 0 10
Nemaha County, Kansas 20131 0 11 -11
Neosho County, Kansas 20133 0 1 -1
Norton County, Kansas 20137 0 3 -3
Pawnee County, Kansas 20145 0 2 -2
Pottawatomie County, Kansas 20149 0 4 -4
Reno County, Kansas 20155 0 3 -3
Rice County, Kansas 20159 0 40 -40
Riley County, Kansas 20161 73 0 73
Saline County, Kansas 20169 3 7 -4
Sedgwick County, Kansas 20173 250 175 75
Seward County, Kansas 20175 1 2 -1
Shawnee County, Kansas 20177 55 14 41
Sumner County, Kansas 20191 12 6 6
Wilson County, Kansas 20205 7 0 7
Wyandotte County, Kansas 20209 117 0 117
Christian County, Kentucky 21047 45 0 45
Fayette County, Kentucky 21067 52 64 -12
Jefferson County, Kentucky 21111 89 85 4
Laurel County, Kentucky 21125 0 16 -16
Bossier Parish, Louisiana 22015 8 0 8
Caddo Parish, Louisiana 22017 10 18 -8
Calcasieu Parish, Louisiana 22019 0 23 -23
East Baton Rouge Parish, Louisiana 22033 51 83 -32
Evangeline Parish, Louisiana 22039 13 0 13
Jefferson Parish, Louisiana 22051 22 17 5
Lafayette Parish, Louisiana 22055 0 8 -8
Natchitoches Parish, Louisiana 22069 1 7 -6
Orleans Parish, Louisiana 22071 0 85 -85
Rapides Parish, Louisiana 22079 40 0 40
St. Tammany Parish, Louisiana 22103 0 100 -100
Union Parish, Louisiana 22111 0 19 -19
Vernon Parish, Louisiana 22115 16 15 1
Webster Parish, Louisiana 22119 46 0 46
West Carroll Parish, Louisiana 22123 1 0 1
York County, Maine 23031 0 30 -30
Anne Arundel County, Maryland 24003 81 43 38
Baltimore County, Maryland 24005 32 0 32
Charles County, Maryland 24017 5 0 5
Harford County, Maryland 24025 7 0 7
Kent County, Maryland 24029 0 30 -30
Prince George's County, Maryland 24033 16 0 16
St. Mary's County, Maryland 24037 94 0 94
Wicomico County, Maryland 24045 4 0 4
Baltimore city, Maryland 24510 0 62 -62
Middlesex County, Massachusetts 25017 7 118 -111
Norfolk County, Massachusetts 25021 8 0 8
Plymouth County, Massachusetts 25023 0 16 -16
Suffolk County, Massachusetts 25025 6 30 -24
Worcester County, Massachusetts 25027 16 0 16
Berrien County, Michigan 26021 36 0 36
Branch County, Michigan 26023 0 5 -5
Genesee County, Michigan 26049 7 0 7
Huron County, Michigan 26063 0 1 -1
Ingham County, Michigan 26065 4 49 -45
Isabella County, Michigan 26073 12 0 12
Kent County, Michigan 26081 34 8 26
Macomb County, Michigan 26099 31 0 31
Missaukee County, Michigan 26113 0 7 -7
Montcalm County, Michigan 26117 0 5 -5
Oakland County, Michigan 26125 8 0 8
Saginaw County, Michigan 26145 0 7 -7
St. Clair County, Michigan 26147 3 5 -2
Shiawassee County, Michigan 26155 0 8 -8
Washtenaw County, Michigan 26161 11 0 11
Wayne County, Michigan 26163 0 26 -26
Wexford County, Michigan 26165 0 3 -3
Clay County, Minnesota 27027 13 0 13
Dakota County, Minnesota 27037 18 0 18
Hennepin County, Minnesota 27053 14 128 -114
Itasca County, Minnesota 27061 0 3 -3
Olmsted County, Minnesota 27109 14 0 14
Otter Tail County, Minnesota 27111 0 3 -3
Ramsey County, Minnesota 27123 0 13 -13
Rice County, Minnesota 27131 12 0 12
St. Louis County, Minnesota 27137 23 5 18
Scott County, Minnesota 27139 90 0 90
Stearns County, Minnesota 27145 12 0 12
Waseca County, Minnesota 27161 0 65 -65
Clarke County, Mississippi 28023 0 2 -2
DeSoto County, Mississippi 28033 11 0 11
Harrison County, Mississippi 28047 85 88 -3
Hinds County, Mississippi 28049 0 18 -18
Holmes County, Mississippi 28051 0 11 -11
Lamar County, Mississippi 28073 2 0 2
Lauderdale County, Mississippi 28075 0 19 -19
Lee County, Mississippi 28081 0 11 -11
Lowndes County, Mississippi 28087 14 0 14
Pontotoc County, Mississippi 28115 0 24 -24
Warren County, Mississippi 28149 10 0 10
Atchison County, Missouri 29005 0 1 -1
Boone County, Missouri 29019 6 0 6
Buchanan County, Missouri 29021 15 6 9
Cass County, Missouri 29037 0 3 -3
Christian County, Missouri 29043 0 40 -40
Clay County, Missouri 29047 10 0 10
Clinton County, Missouri 29049 3 0 3
Cooper County, Missouri 29053 0 10 -10
Greene County, Missouri 29077 36 0 36
Grundy County, Missouri 29079 16 0 16
Henry County, Missouri 29083 33 0 33
Jackson County, Missouri 29095 21 149 -128
Jasper County, Missouri 29097 9 28 -19
Johnson County, Missouri 29101 0 5 -5
Lawrence County, Missouri 29109 0 27 -27
Lincoln County, Missouri 29113 12 0 12
McDonald County, Missouri 29119 0 3 -3
Newton County, Missouri 29145 12 0 12
Pulaski County, Missouri 29169 0 43 -43
St. Louis County, Missouri 29189 168 159 9
Sullivan County, Missouri 29211 0 4 -4
St. Louis city, Missouri 29510 103 88 15
Cascade County, Montana 30013 7 0 7
Gallatin County, Montana 30031 29 0 29
Lake County, Montana 30047 5 0 5
Missoula County, Montana 30063 4 0 4
Yellowstone County, Montana 30111 92 23 69
Buffalo County, Nebraska 31019 0 24 -24
Cass County, Nebraska 31025 2 0 2
Douglas County, Nebraska 31055 15 23 -8
Franklin County, Nebraska 31061 0 27 -27
Hall County, Nebraska 31079 0 14 -14
Jefferson County, Nebraska 31095 0 1 -1
Lancaster County, Nebraska 31109 83 36 47
Lincoln County, Nebraska 31111 0 62 -62
Madison County, Nebraska 31119 0 3 -3
Platte County, Nebraska 31141 0 8 -8
Sarpy County, Nebraska 31153 125 16 109
Scotts Bluff County, Nebraska 31157 0 37 -37
Webster County, Nebraska 31181 0 1 -1
York County, Nebraska 31185 0 8 -8
Clark County, Nevada 32003 170 111 59
Lincoln County, Nevada 32017 0 11 -11
Washoe County, Nevada 32031 66 0 66
Grafton County, New Hampshire 33009 16 0 16
Burlington County, New Jersey 34005 0 16 -16
Camden County, New Jersey 34007 0 34 -34
Monmouth County, New Jersey 34025 5 0 5
Morris County, New Jersey 34027 14 0 14
Passaic County, New Jersey 34031 22 0 22
Somerset County, New Jersey 34035 0 31 -31
Bernalillo County, New Mexico 35001 148 369 -221
Chaves County, New Mexico 35005 0 30 -30
Colfax County, New Mexico 35007 12 8 4
Curry County, New Mexico 35009 45 19 26
Doña Ana County, New Mexico 35013 46 0 46
Eddy County, New Mexico 35015 8 0 8
Hidalgo County, New Mexico 35023 0 8 -8
Otero County, New Mexico 35035 42 19 23
Sandoval County, New Mexico 35043 28 0 28
Santa Fe County, New Mexico 35049 141 43 98
Allegany County, New York 36003 30 0 30
Bronx County, New York 36005 13 0 13
Broome County, New York 36007 22 0 22
Chemung County, New York 36015 0 42 -42
Delaware County, New York 36025 6 0 6
Essex County, New York 36031 6 0 6
Jefferson County, New York 36045 16 0 16
Kings County, New York 36047 73 61 12
Nassau County, New York 36059 6 0 6
New York County, New York 36061 0 51 -51
Niagara County, New York 36063 12 20 -8
Oneida County, New York 36065 84 0 84
Onondaga County, New York 36067 0 24 -24
Orange County, New York 36071 0 8 -8
Oswego County, New York 36075 7 0 7
Otsego County, New York 36077 13 0 13
Queens County, New York 36081 61 8 53
Saratoga County, New York 36091 0 46 -46
Steuben County, New York 36101 0 8 -8
Suffolk County, New York 36103 12 154 -142
Cabarrus County, North Carolina 37025 0 22 -22
Cumberland County, North Carolina 37051 27 28 -1
Forsyth County, North Carolina 37067 0 64 -64
Guilford County, North Carolina 37081 0 46 -46
Iredell County, North Carolina 37097 0 15 -15
Johnston County, North Carolina 37101 10 0 10
Mecklenburg County, North Carolina 37119 0 102 -102
New Hanover County, North Carolina 37129 28 0 28
Onslow County, North Carolina 37133 0 32 -32
Orange County, North Carolina 37135 18 0 18
Union County, North Carolina 37179 0 10 -10
Wake County, North Carolina 37183 52 0 52
Burleigh County, North Dakota 38015 9 0 9
Cass County, North Dakota 38017 9 0 9
Pierce County, North Dakota 38069 0 4 -4
Stark County, North Dakota 38089 0 3 -3
Ward County, North Dakota 38101 31 0 31
Butler County, Ohio 39017 41 0 41
Cuyahoga County, Ohio 39035 23 0 23
Franklin County, Ohio 39049 1 31 -30
Greene County, Ohio 39057 21 0 21
Hamilton County, Ohio 39061 8 9 -1
Lake County, Ohio 39085 0 2 -2
Licking County, Ohio 39089 11 0 11
Lucas County, Ohio 39095 8 0 8
Mahoning County, Ohio 39099 0 7 -7
Miami County, Ohio 39109 0 3 -3
Montgomery County, Ohio 39113 12 0 12
Portage County, Ohio 39133 4 0 4
Richland County, Ohio 39139 0 6 -6
Stark County, Ohio 39151 106 0 106
Van Wert County, Ohio 39161 0 6 -6
Warren County, Ohio 39165 11 0 11
Adair County, Oklahoma 40001 168 10 158
Alfalfa County, Oklahoma 40003 6 15 -9
Atoka County, Oklahoma 40005 19 148 -129
Beaver County, Oklahoma 40007 40 4 36
Beckham County, Oklahoma 40009 479 130 349
Blaine County, Oklahoma 40011 0 36 -36
Bryan County, Oklahoma 40013 54 50 4
Caddo County, Oklahoma 40015 64 170 -106
Canadian County, Oklahoma 40017 2819 4148 -1329
Carter County, Oklahoma 40019 204 172 32
Cherokee County, Oklahoma 40021 108 117 -9
Choctaw County, Oklahoma 40023 22 19 3
Cimarron County, Oklahoma 40025 0 30 -30
Cleveland County, Oklahoma 40027 7867 9355 -1488
Coal County, Oklahoma 40029 11 0 11
Comanche County, Oklahoma 40031 1342 868 474
Cotton County, Oklahoma 40033 31 28 3
Craig County, Oklahoma 40035 49 92 -43
Creek County, Oklahoma 40037 115 103 12
Custer County, Oklahoma 40039 348 207 141
Delaware County, Oklahoma 40041 63 106 -43
Dewey County, Oklahoma 40043 25 6 19
Ellis County, Oklahoma 40045 0 3 -3
Garfield County, Oklahoma 40047 415 351 64
Garvin County, Oklahoma 40049 29 53 -24
Grady County, Oklahoma 40051 551 391 160
Greer County, Oklahoma 40055 144 184 -40
Harmon County, Oklahoma 40057 5 4 1
Harper County, Oklahoma 40059 11 48 -37
Haskell County, Oklahoma 40061 185 29 156
Hughes County, Oklahoma 40063 76 15 61
Jackson County, Oklahoma 40065 76 22 54
Jefferson County, Oklahoma 40067 14 14 0
Johnston County, Oklahoma 40069 25 5 20
Kay County, Oklahoma 40071 195 220 -25
Kingfisher County, Oklahoma 40073 111 45 66
Kiowa County, Oklahoma 40075 58 29 29
Latimer County, Oklahoma 40077 26 10 16
Le Flore County, Oklahoma 40079 382 137 245
Lincoln County, Oklahoma 40081 411 238 173
Logan County, Oklahoma 40083 1494 1274 220
Love County, Oklahoma 40085 0 23 -23
McClain County, Oklahoma 40087 450 553 -103
McCurtain County, Oklahoma 40089 209 37 172
McIntosh County, Oklahoma 40091 121 17 104
Major County, Oklahoma 40093 13 20 -7
Marshall County, Oklahoma 40095 110 102 8
Mayes County, Oklahoma 40097 24 65 -41
Murray County, Oklahoma 40099 70 61 9
Muskogee County, Oklahoma 40101 268 432 -164
Noble County, Oklahoma 40103 65 49 16
Nowata County, Oklahoma 40105 52 5 47
Okfuskee County, Oklahoma 40107 76 68 8
Okmulgee County, Oklahoma 40111 378 139 239
Osage County, Oklahoma 40113 66 104 -38
Ottawa County, Oklahoma 40115 108 42 66
Pawnee County, Oklahoma 40117 13 14 -1
Payne County, Oklahoma 40119 917 1195 -278
Pittsburg County, Oklahoma 40121 214 215 -1
Pontotoc County, Oklahoma 40123 152 244 -92
Pottawatomie County, Oklahoma 40125 1020 965 55
Pushmataha County, Oklahoma 40127 13 19 -6
Roger Mills County, Oklahoma 40129 0 1 -1
Rogers County, Oklahoma 40131 70 123 -53
Seminole County, Oklahoma 40133 55 82 -27
Sequoyah County, Oklahoma 40135 0 24 -24
Stephens County, Oklahoma 40137 264 77 187
Texas County, Oklahoma 40139 398 48 350
Tillman County, Oklahoma 40141 13 37 -24
Tulsa County, Oklahoma 40143 1977 2006 -29
Wagoner County, Oklahoma 40145 124 148 -24
Washington County, Oklahoma 40147 24 95 -71
Washita County, Oklahoma 40149 44 20 24
Woods County, Oklahoma 40151 117 150 -33
Woodward County, Oklahoma 40153 257 98 159
Clatsop County, Oregon 41007 8 0 8
Deschutes County, Oregon 41017 8 0 8
Jefferson County, Oregon 41031 9 0 9
Klamath County, Oregon 41035 0 21 -21
Linn County, Oregon 41043 11 0 11
Marion County, Oregon 41047 103 0 103
Multnomah County, Oregon 41051 67 29 38
Allegheny County, Pennsylvania 42003 44 10 34
Bradford County, Pennsylvania 42015 0 6 -6
Butler County, Pennsylvania 42019 62 0 62
Centre County, Pennsylvania 42027 0 18 -18
Cumberland County, Pennsylvania 42041 0 13 -13
Delaware County, Pennsylvania 42045 0 35 -35
Lackawanna County, Pennsylvania 42069 0 12 -12
Lawrence County, Pennsylvania 42073 0 41 -41
Lycoming County, Pennsylvania 42081 4 0 4
Mercer County, Pennsylvania 42085 0 52 -52
Northampton County, Pennsylvania 42095 5 0 5
Philadelphia County, Pennsylvania 42101 63 122 -59
York County, Pennsylvania 42133 4 39 -35
Providence County, Rhode Island 44007 77 0 77
Berkeley County, South Carolina 45015 25 0 25
Charleston County, South Carolina 45019 12 0 12
Greenville County, South Carolina 45045 0 12 -12
Horry County, South Carolina 45051 0 9 -9
Lexington County, South Carolina 45063 30 12 18
Richland County, South Carolina 45079 0 63 -63
York County, South Carolina 45091 10 0 10
Minnehaha County, South Dakota 46099 8 0 8
Pennington County, South Dakota 46103 0 8 -8
Bradley County, Tennessee 47011 4 0 4
Davidson County, Tennessee 47037 2 48 -46
Dickson County, Tennessee 47043 6 0 6
Hamilton County, Tennessee 47065 0 5 -5
Humphreys County, Tennessee 47085 2 20 -18
Knox County, Tennessee 47093 112 16 96
Madison County, Tennessee 47113 36 0 36
Marion County, Tennessee 47115 0 3 -3
Montgomery County, Tennessee 47125 5 71 -66
Pickett County, Tennessee 47137 16 0 16
Putnam County, Tennessee 47141 15 0 15
Rutherford County, Tennessee 47149 0 1 -1
Shelby County, Tennessee 47157 32 85 -53
Smith County, Tennessee 47159 0 1 -1
Stewart County, Tennessee 47161 15 0 15
Sullivan County, Tennessee 47163 0 11 -11
Sumner County, Tennessee 47165 4 44 -40
Tipton County, Tennessee 47167 0 5 -5
Wilson County, Tennessee 47189 0 32 -32
Austin County, Texas 48015 0 3 -3
Bandera County, Texas 48019 8 0 8
Baylor County, Texas 48023 25 0 25
Bell County, Texas 48027 49 5 44
Bexar County, Texas 48029 328 434 -106
Bowie County, Texas 48037 27 13 14
Brazoria County, Texas 48039 74 60 14
Brazos County, Texas 48041 14 12 2
Callahan County, Texas 48059 0 62 -62
Cameron County, Texas 48061 178 0 178
Carson County, Texas 48065 0 1 -1
Castro County, Texas 48069 0 3 -3
Cherokee County, Texas 48073 0 2 -2
Clay County, Texas 48077 0 19 -19
Collin County, Texas 48085 79 327 -248
Comal County, Texas 48091 0 52 -52
Concho County, Texas 48095 0 3 -3
Cooke County, Texas 48097 4 42 -38
Coryell County, Texas 48099 27 35 -8
Cottle County, Texas 48101 0 9 -9
Dallas County, Texas 48113 1024 824 200
Denton County, Texas 48121 435 172 263
Donley County, Texas 48129 74 0 74
Ector County, Texas 48135 210 0 210
Ellis County, Texas 48139 49 0 49
El Paso County, Texas 48141 171 137 34
Erath County, Texas 48143 74 0 74
Fort Bend County, Texas 48157 90 239 -149
Galveston County, Texas 48167 28 92 -64
Garza County, Texas 48169 0 11 -11
Grayson County, Texas 48181 52 0 52
Gregg County, Texas 48183 0 50 -50
Hamilton County, Texas 48193 2 0 2
Hansford County, Texas 48195 21 0 21
Hardin County, Texas 48199 5 60 -55
Harris County, Texas 48201 213 1215 -1002
Haskell County, Texas 48207 0 4 -4
Hidalgo County, Texas 48215 67 30 37
Hood County, Texas 48221 20 18 2
Hopkins County, Texas 48223 7 0 7
Howard County, Texas 48227 0 28 -28
Hunt County, Texas 48231 12 0 12
Jefferson County, Texas 48245 0 20 -20
Johnson County, Texas 48251 2 43 -41
Lamar County, Texas 48277 3 9 -6
Lampasas County, Texas 48281 1 0 1
Live Oak County, Texas 48297 0 27 -27
Lubbock County, Texas 48303 99 26 73
McCulloch County, Texas 48307 19 0 19
McLennan County, Texas 48309 57 47 10
Midland County, Texas 48329 44 297 -253
Montgomery County, Texas 48339 103 79 24
Moore County, Texas 48341 0 46 -46
Nacogdoches County, Texas 48347 14 0 14
Nolan County, Texas 48353 11 0 11
Nueces County, Texas 48355 175 11 164
Ochiltree County, Texas 48357 0 52 -52
Palo Pinto County, Texas 48363 0 16 -16
Parker County, Texas 48367 9 152 -143
Polk County, Texas 48373 17 0 17
Potter County, Texas 48375 146 64 82
Randall County, Texas 48381 170 83 87
Rockwall County, Texas 48397 2 0 2
San Patricio County, Texas 48409 20 0 20
Scurry County, Texas 48415 0 14 -14
Smith County, Texas 48423 20 27 -7
Tarrant County, Texas 48439 579 696 -117
Taylor County, Texas 48441 27 10 17
Travis County, Texas 48453 176 170 6
Van Zandt County, Texas 48467 38 3 35
Victoria County, Texas 48469 36 0 36
Waller County, Texas 48473 0 25 -25
Wichita County, Texas 48485 378 40 338
Williamson County, Texas 48491 167 0 167
Wise County, Texas 48497 209 0 209
Cache County, Utah 49005 0 56 -56
Davis County, Utah 49011 17 18 -1
Iron County, Utah 49021 0 40 -40
Kane County, Utah 49025 0 38 -38
Morgan County, Utah 49029 18 0 18
Salt Lake County, Utah 49035 70 36 34
Sanpete County, Utah 49039 0 2 -2
Utah County, Utah 49049 15 73 -58
Wasatch County, Utah 49051 0 39 -39
Washington County, Utah 49053 0 81 -81
Weber County, Utah 49057 9 31 -22
Orleans County, Vermont 50019 0 3 -3
Rutland County, Vermont 50021 0 6 -6
Albemarle County, Virginia 51003 13 15 -2
Amherst County, Virginia 51009 41 0 41
Arlington County, Virginia 51013 15 0 15
Botetourt County, Virginia 51023 19 0 19
Fairfax County, Virginia 51059 18 0 18
Henrico County, Virginia 51087 137 13 124
Isle of Wight County, Virginia 51093 16 0 16
James City County, Virginia 51095 11 0 11
Loudoun County, Virginia 51107 11 15 -4
Montgomery County, Virginia 51121 5 0 5
Pittsylvania County, Virginia 51143 0 10 -10
Prince George County, Virginia 51149 0 66 -66
Prince William County, Virginia 51153 56 44 12
Spotsylvania County, Virginia 51177 0 12 -12
Stafford County, Virginia 51179 0 57 -57
Warren County, Virginia 51187 0 10 -10
Wise County, Virginia 51195 19 0 19
Alexandria city, Virginia 51510 68 0 68
Falls Church city, Virginia 51610 51 0 51
Fredericksburg city, Virginia 51630 8 0 8
Hampton city, Virginia 51650 35 0 35
Norfolk city, Virginia 51710 10 63 -53
Richmond city, Virginia 51760 25 81 -56
Roanoke city, Virginia 51770 0 16 -16
Virginia Beach city, Virginia 51810 8 95 -87
Chelan County, Washington 53007 0 12 -12
Clallam County, Washington 53009 0 20 -20
Clark County, Washington 53011 8 31 -23
Columbia County, Washington 53013 0 6 -6
Island County, Washington 53029 4 53 -49
King County, Washington 53033 22 87 -65
Kitsap County, Washington 53035 55 0 55
Lewis County, Washington 53041 0 13 -13
Pierce County, Washington 53053 9 309 -300
Skagit County, Washington 53057 0 3 -3
Snohomish County, Washington 53061 0 7 -7
Spokane County, Washington 53063 21 23 -2
Thurston County, Washington 53067 234 91 143
Whatcom County, Washington 53073 5 0 5
Yakima County, Washington 53077 0 5 -5
Harrison County, West Virginia 54033 0 18 -18
Monongalia County, West Virginia 54061 0 28 -28
Wood County, West Virginia 54107 0 4 -4
Adams County, Wisconsin 55001 0 10 -10
Burnett County, Wisconsin 55013 0 4 -4
Dane County, Wisconsin 55025 4 90 -86
Dodge County, Wisconsin 55027 0 44 -44
Green County, Wisconsin 55045 26 0 26
Iowa County, Wisconsin 55049 17 0 17
Milwaukee County, Wisconsin 55079 8 18 -10
Oconto County, Wisconsin 55083 0 2 -2
Polk County, Wisconsin 55095 0 13 -13
Taylor County, Wisconsin 55119 0 4 -4
Waukesha County, Wisconsin 55133 6 0 6
Waupaca County, Wisconsin 55135 0 2 -2
Laramie County, Wyoming 56021 25 38 -13
Natrona County, Wyoming 56025 52 0 52
Ceiba Municipio, Puerto Rico 72037 0 20 -20
Ciales Municipio, Puerto Rico 72039 0 28 -28
Ponce Municipio, Puerto Rico 72113 39 0 39
San Juan Municipio, Puerto Rico 72127 37 0 37
Vieques Municipio, Puerto Rico 72147 10 0 10
Bristol town, Hartford County, Connecticut 0900308490 8 0 8
Simsbury town, Hartford County, Connecticut 0900368940 0 30 -30
Windsor town, Hartford County, Connecticut 0900387000 0 14 -14
Plainfield town, Windham County, Connecticut 0901559980 62 0 62
York town, York County, Maine 2303187985 0 30 -30
Belmont town, Middlesex County, Massachusetts 2501705070 0 84 -84
Cambridge city, Middlesex County, Massachusetts 2501711000 4 19 -15
Everett city, Middlesex County, Massachusetts 2501721990 3 0 3
Newton city, Middlesex County, Massachusetts 2501745560 0 2 -2
Waltham city, Middlesex County, Massachusetts 2501772600 0 13 -13
Brookline town, Norfolk County, Massachusetts 2502109175 8 0 8
Brockton city, Plymouth County, Massachusetts 2502309000 0 16 -16
Boston city, Suffolk County, Massachusetts 2502507000 6 30 -24
Harvard town, Worcester County, Massachusetts 2502728950 11 0 11
Millbury town, Worcester County, Massachusetts 2502741340 5 0 5
Oronoko charter township, Berrien County, Michigan 2602161180 36 0 36
Batavia township, Branch County, Michigan 2602305800 0 3 -3
Sherwood township, Branch County, Michigan 2602373440 0 2 -2
Flint city, Genesee County, Michigan 2604929000 7 0 7
Bloomfield township, Huron County, Michigan 2606309060 0 1 -1
Lansing city, Ingham County, Michigan 2606546000 4 49 -45
Mount Pleasant city, Isabella County, Michigan 2607356020 12 0 12
Caledonia township, Kent County, Michigan 2608112500 0 8 -8
Grand Rapids city, Kent County, Michigan 2608134000 34 0 34
New Baltimore city, Macomb County, Michigan 2609957100 18 0 18
St. Clair Shores city, Macomb County, Michigan 2609970760 13 0 13
Reeder township, Missaukee County, Michigan 2611367840 0 7 -7
Cato township, Montcalm County, Michigan 2611714000 0 5 -5
Farmington Hills city, Oakland County, Michigan 2612527440 8 0 8
Brant township, Saginaw County, Michigan 2614510100 0 7 -7
East China township, St. Clair County, Michigan 2614723820 3 0 3
Kenockee township, St. Clair County, Michigan 2614742740 0 5 -5
Durand city, Shiawassee County, Michigan 2615523500 0 8 -8
Scio township, Washtenaw County, Michigan 2616171940 5 0 5
Ypsilanti charter township, Washtenaw County, Michigan 2616189160 6 0 6
Dearborn city, Wayne County, Michigan 2616321000 0 26 -26
Cedar Creek township, Wexford County, Michigan 2616514120 0 3 -3
Moorhead city, Clay County, Minnesota 2702743864 13 0 13
Lakeville city, Dakota County, Minnesota 2703735180 18 0 18
Bloomington city, Hennepin County, Minnesota 2705306616 0 36 -36
Eden Prairie city, Hennepin County, Minnesota 2705318116 0 62 -62
Edina city, Hennepin County, Minnesota 2705318188 0 18 -18
Minneapolis city, Hennepin County, Minnesota 2705343000 0 12 -12
Minnetonka city, Hennepin County, Minnesota 2705343252 14 0 14
Liberty UT, Itasca County, Minnesota 2706136944 0 3 -3
Rochester township, Olmsted County, Minnesota 2710954898 14 0 14
Elizabeth township, Otter Tail County, Minnesota 2711118584 0 3 -3
Shoreview city, Ramsey County, Minnesota 2712359998 0 13 -13
Northfield city, Rice County, Minnesota 2713146924 12 0 12
Duluth city, St. Louis County, Minnesota 2713717000 23 5 18
Shakopee city, Scott County, Minnesota 2713959350 90 0 90
Sartell city, Stearns County, Minnesota 2714558612 12 0 12
Waseca city, Waseca County, Minnesota 2716168296 0 65 -65
Bristol town, Grafton County, New Hampshire 3300907700 16 0 16
Mount Laurel township, Burlington County, New Jersey 3400549020 0 16 -16
Collingswood borough, Camden County, New Jersey 3400714260 0 34 -34
Neptune township, Monmouth County, New Jersey 3402549890 5 0 5
Denville township, Morris County, New Jersey 3402717650 10 0 10
Rockaway borough, Morris County, New Jersey 3402764050 4 0 4
Clifton city, Passaic County, New Jersey 3403113690 22 0 22
Somerville borough, Somerset County, New Jersey 3403568460 0 22 -22
South Bound Brook borough, Somerset County, New Jersey 3403568730 0 9 -9
Burns town, Allegany County, New York 3600311253 30 0 30
Bronx borough, Bronx County, New York 3600508510 13 0 13
Fenton town, Broome County, New York 3600725604 22 0 22
Elmira city, Chemung County, New York 3601524229 0 42 -42
Roxbury town, Delaware County, New York 3602564001 6 0 6
North Elba town, Essex County, New York 3603151935 6 0 6
Le Ray town, Jefferson County, New York 3604542015 8 0 8
Watertown city, Jefferson County, New York 3604578608 8 0 8
Brooklyn borough, Kings County, New York 3604710022 73 61 12
Hempstead town, Nassau County, New York 3605934000 6 0 6
Manhattan borough, New York County, New York 3606144919 0 51 -51
Niagara Falls city, Niagara County, New York 3606351055 12 0 12
North Tonawanda city, Niagara County, New York 3606353682 0 20 -20
Rome city, Oneida County, New York 3606563418 84 0 84
Syracuse city, Onondaga County, New York 3606773000 0 24 -24
Newburgh town, Orange County, New York 3607150045 0 8 -8
Hannibal town, Oswego County, New York 3607532028 7 0 7
Laurens town, Otsego County, New York 3607741531 13 0 13
Queens borough, Queens County, New York 3608160323 61 8 53
Ballston town, Saratoga County, New York 3609104220 0 27 -27
Moreau town, Saratoga County, New York 3609148318 0 19 -19
Hornellsville town, Steuben County, New York 3610135683 0 8 -8
Babylon town, Suffolk County, New York 3610304000 12 0 12
Huntington town, Suffolk County, New York 3610337000 0 154 -154
Bellevue borough, Allegheny County, Pennsylvania 4200305312 44 0 44
Hampton township, Allegheny County, Pennsylvania 4200332328 0 10 -10
Standing Stone township, Bradford County, Pennsylvania 4201573632 0 6 -6
Adams township, Butler County, Pennsylvania 4201900300 62 0 62
Ferguson township, Centre County, Pennsylvania 4202725624 0 18 -18
North Middleton township, Cumberland County, Pennsylvania 4204155216 0 13 -13
Parkside borough, Delaware County, Pennsylvania 4204558176 0 6 -6
Radnor township, Delaware County, Pennsylvania 4204563264 0 9 -9
Thornbury township, Delaware County, Pennsylvania 4204576576 0 20 -20
Scranton city, Lackawanna County, Pennsylvania 4206969000 0 12 -12
New Castle city, Lawrence County, Pennsylvania 4207353368 0 41 -41
Fairfield township, Lycoming County, Pennsylvania 4208124592 4 0 4
Greenville borough, Mercer County, Pennsylvania 4208531328 0 15 -15
Pine township, Mercer County, Pennsylvania 4208560336 0 37 -37
Bethlehem city, Northampton County, Pennsylvania 4209506088 5 0 5
Philadelphia city, Philadelphia County, Pennsylvania 4210160000 63 122 -59
Fairview township, York County, Pennsylvania 4213324936 0 39 -39
Hanover borough, York County, Pennsylvania 4213332448 4 0 4
Providence city, Providence County, Rhode Island 4400759000 77 0 77
Troy town, Orleans County, Vermont 5001973525 0 3 -3
Mendon town, Rutland County, Vermont 5002144125 0 6 -6
New Chester town, Adams County, Wisconsin 5500156525 0 10 -10
Daniels town, Burnett County, Wisconsin 5501318750 0 4 -4
Cross Plains village, Dane County, Wisconsin 5502517775 0 10 -10
Madison town, Dane County, Wisconsin 5502548025 4 0 4
Middleton city, Dane County, Wisconsin 5502551575 0 61 -61
Oregon village, Dane County, Wisconsin 5502560200 0 19 -19
Beaver Dam city, Dodge County, Wisconsin 5502705900 0 44 -44
Monroe city, Green County, Wisconsin 5504553750 26 0 26
Linden town, Iowa County, Wisconsin 5504944650 17 0 17
Milwaukee city, Milwaukee County, Wisconsin 5507953000 0 18 -18
Wauwatosa city, Milwaukee County, Wisconsin 5507984675 8 0 8
Mountain town, Oconto County, Wisconsin 5508354630 0 2 -2
St. Croix Falls city, Polk County, Wisconsin 5509570550 0 13 -13
Browning town, Taylor County, Wisconsin 5511910400 0 4 -4
Waukesha town, Waukesha County, Wisconsin 5513384275 6 0 6
Caledonia town, Waupaca County, Wisconsin 5513512000 0 2 -2

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 798,575 100.0 331,893,745 100.0
..Male D002 392,414 49.1 164,350,703 49.5
..Female D003 406,161 50.9 167,543,042 50.5
..Sex ratio (males per 100 females) D004 96.6   98.1  
     
..Under 5 years D005 54,303 6.8 18,661,245 5.6
..5 to 9 years D006 56,568 7.1 20,010,813 6.0
..10 to 14 years D007 58,295 7.3 21,821,492 6.6
..15 to 19 years D008 52,379 6.6 21,824,088 6.6
..20 to 24 years D009 54,011 6.8 21,382,643 6.4
..25 to 34 years D010 118,734 14.9 45,079,138 13.6
..35 to 44 years D011 108,419 13.6 43,733,561 13.2
..45 to 54 years D012 89,419 11.2 40,673,717 12.3
..55 to 59 years D013 44,393 5.6 21,141,152 6.4
..60 to 64 years D014 47,759 6.0 21,673,882 6.5
..65 to 74 years D015 72,349 9.1 33,778,204 10.2
..75 to 84 years D016 31,274 3.9 16,151,137 4.9
..85 years and over D017 10,672 1.3 5,962,673 1.8
     
..Median age (years) D018 35.4   38.8  
     
..Under 18 years D019 202,324 25.3 73,475,278 22.1
..16 years and over D020 618,729 77.5 267,057,693 80.5
..18 years and over D021 596,251 74.7 258,418,467 77.9
..21 years and over D022 564,208 70.7 245,143,605 73.9
..62 years and over D023 140,656 17.6 68,689,093 20.7
..65 years and over D024 114,295 14.3 55,892,014 16.8
     
..18 years and over D025 596,251 100.0 258,418,467 100.0
...Male D026 288,863 48.4 126,690,177 49.0
...Female D027 307,388 51.6 131,728,290 51.0
...Sex ratio (males per 100 females) D028 94.0   96.2  
     
..65 years and over D029 114,295 100.0 55,892,014 100.0
...Male D030 50,608 44.3 25,191,742 45.1
...Female D031 63,687 55.7 30,700,272 54.9
...Sex ratio (males per 100 females) D032 79.5   82.1  
     
RACE      
.Total population D033 798,575 100.0 331,893,745 100.0
..One race D034 686,401 86.0 290,007,306 87.4
..Two or more races D035 112,174 14.0 41,886,439 12.6
     
..One race D036 686,401 86.0 290,007,306 87.4
...White D037 474,994 59.5 202,981,791 61.2
...Black or African American D038 115,515 14.5 40,194,304 12.1
...American Indian and Alaska Native D039 25,847 3.2 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 25,549 3.2 19,157,288 5.8
....Asian Indian D045 6,570 0.8 4,402,223 1.3
....Chinese D046 2,497 0.3 4,360,466 1.3
....Filipino D047 2,272 0.3 2,960,811 0.9
....Japanese D048 775 0.1 742,549 0.2
....Korean D049 1,035 0.1 1,445,315 0.4
....Vietnamese D050 5,909 0.7 1,896,690 0.6
....Other Asian D051 6,491 0.8 3,349,234 1.0
...Native Hawaiian and Other Pacific Islander D052 506 0.1 612,448 0.2
....Native Hawaiian D053 -1 100.0 185,391 100.0
....Guamanian or Chamorro D054 -1 100.0 68,757 100.0
....Samoan D055 -1 100.0 121,585 100.0
....Other Pacific Islander D056 -1 100.0 236,715 100.0
...Some other race D057 43,990 5.5 23,902,781 7.2
..Two or more races D058 112,174 14.0 41,886,439 12.6
...White and Black or African American D059 15,236 1.9 3,569,990 1.1
...White and American Indian and Alaska Native D060 25,396 3.2 3,212,437 1.0
...White and Asian D061 7,881 1.0 2,773,539 0.8
...Black or African American and American Indian and Alaska Native D062 5,653 0.7 462,571 0.1
     
Race alone or in combination with one or more other races      
.Total population D063 798,575 100.0 331,893,745 100.0
..White D064 576,887 72.2 241,836,150 72.9
..Black or African American D065 144,972 18.2 47,234,227 14.2
..American Indian and Alaska Native D066 65,764 8.2 8,750,904 2.6
..Asian D067 36,975 4.6 23,545,238 7.1
..Native Hawaiian and Other Pacific Islander D068 2,347 0.3 1,541,118 0.5
..Some other race D069 93,785 11.7 53,868,002 16.2
     
HISPANIC OR LATINO AND RACE      
.Total population D070 798,575 100.0 331,893,745 100.0
..Hispanic or Latino (of any race) D071 147,985 18.5 62,529,064 18.8
...Mexican D072 110,108 13.8 37,235,886 11.2
...Puerto Rican D073 4,183 0.5 5,798,287 1.7
...Cuban D074 1,296 0.2 2,400,152 0.7
...Other Hispanic or Latino D075 32,398 4.1 17,094,739 5.2
..Not Hispanic or Latino D076 650,590 81.5 269,364,681 81.2
...White alone D077 427,011 53.5 192,753,887 58.1
...Black or African American alone D078 111,889 14.0 39,269,297 11.8
...American Indian and Alaska Native alone D079 18,742 2.3 1,749,871 0.5
...Asian alone D080 25,366 3.2 18,889,050 5.7
...Native Hawaiian and Other Pacific Islander alone D081 337 0.0 558,717 0.2
...Some other race alone D082 3,853 0.5 1,845,426 0.6
...Two or more races D083 63,392 7.9 14,298,433 4.3
....Two races including Some other race D084 5,069 0.6 3,342,216 1.0
....Two races excluding Some other race, and Three or more races D085 58,323 7.3 10,956,217 3.3
     
.Total housing units D086 356,754 100.0 142,148,050 100.0
     
CITIZEN, VOTING AGE POPULATION      
.Citizen, 18 and over population D087 549,738 100.0 239,035,960 100.0
..Male D088 264,686 48.1 116,766,700 48.8
..Female D089 285,052 51.9 122,269,260 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 324,819 100.0 127,544,730 100.0
..Married-couple family S002 141,319 43.5 60,360,084 47.3
...With own children of the householder under 18 years S003 55,374 17.0 22,870,106 17.9
..Cohabiting couple household S004 23,419 7.2 9,195,007 7.2
...With own children of the householder under 18 years S005 7,648 2.4 2,933,896 2.3
..Male householder, no spouse/partner present S006 62,715 19.3 23,109,048 18.1
...With own children of the householder under 18 years S007 4,810 1.5 1,572,727 1.2
...Householder living alone S008 44,478 13.7 16,359,032 12.8
....65 years and over S009 10,298 3.2 4,814,086 3.8
..Female householder, no spouse/partner present S010 97,366 30.0 34,880,591 27.3
...With own children of the householder under 18 years S011 19,981 6.2 6,253,443 4.9
...Householder living alone S012 56,566 17.4 19,691,382 15.4
....65 years and over S013 21,655 6.7 9,539,491 7.5
     
..Households with one or more people under 18 years S014 97,590 30.0 37,661,807 29.5
..Households with one or more people 65 years and over S015 84,904 26.1 39,884,869 31.3
     
..Average household size S016 2.42   2.54  
..Average family size S017 3.07   3.15  
     
RELATIONSHIP      
.Population in households S018 785,204 100.0 324,132,886 100.0
..Householder S019 324,819 41.4 127,544,730 39.3
..Spouse S020 140,538 17.9 60,303,729 18.6
..Unmarried partner S021 24,189 3.1 9,251,322 2.9
..Child S022 232,618 29.6 94,303,591 29.1
..Other relatives S023 43,336 5.5 22,586,523 7.0
..Other nonrelatives S024 19,704 2.5 10,142,991 3.1
     
MARITAL STATUS      
.Males 15 years and over S025 305,722 100.0 133,358,219 100.0
..Never married S026 112,935 36.9 49,530,132 37.1
..Now married, except separated S027 152,838 50.0 66,215,121 49.7
..Separated S028 3,966 1.3 1,981,789 1.5
..Widowed S029 6,954 2.3 3,411,896 2.6
..Divorced S030 29,029 9.5 12,219,281 9.2
     
.Females 15 years and over S031 323,687 100.0 138,041,976 100.0
..Never married S032 100,094 30.9 43,214,903 31.3
..Now married, except separated S033 147,737 45.6 64,153,674 46.5
..Separated S034 6,608 2.0 2,657,369 1.9
..Widowed S035 25,447 7.9 11,416,414 8.3
..Divorced S036 43,801 13.5 16,599,616 12.0
     
FERTILITY      
.Number of women 15 to 50 years old who had a birth in the past 12 months S037 10,489 100.0 3,922,188 100.0
..Unmarried women (widowed, divorced, and never married) S038 2,425 23.1 1,242,288 31.7
...Per 1,000 unmarried women S039 23 -1.0 28 -1.0
..Per 1,000 women 15 to 50 years old S040 54 -1.0 51 -1.0
..Per 1,000 women 15 to 19 years old S041 12 -1.0 8 -1.0
..Per 1,000 women 20 to 34 years old S042 84 -1.0 84 -1.0
..Per 1,000 women 35 to 50 years old S043 35 -1.0 32 -1.0
     
GRANDPARENTS      
.Number of grandparents living with own grandchildren under 18 years S044 13,762 100.0 6,658,830 100.0
..Grandparents responsible for grandchildren S045 6,248 45.4 2,085,527 31.3
..Years responsible for grandchildren
...Less than 1 year S046 820 6.0 315,750 4.7
...1 or 2 years S047 1,385 10.1 402,768 6.0
...3 or 4 years S048 628 4.6 338,613 5.1
...5 or more years S049 3,415 24.8 1,028,396 15.4
     
.Number of grandparents responsible for own grandchildren under 18 years S050 6,248 100.0 2,085,527 100.0
..Who are female S051 4,635 74.2 1,322,096 63.4
..Who are married S052 3,644 58.3 1,396,788 67.0
     
SCHOOL ENROLLMENT      
.Population 3 years and over enrolled in school S053 202,423 100.0 79,453,524 100.0
..Nursery school, preschool S054 11,362 5.6 4,095,935 5.2
..Kindergarten S055 13,201 6.5 4,011,805 5.0
..Elementary school (grades 1-8) S056 91,107 45.0 32,855,519 41.4
..High school (grades 9-12) S057 41,478 20.5 17,293,504 21.8
..College or graduate school S058 45,275 22.4 21,196,761 26.7
     
EDUCATIONAL ATTAINMENT      
.Population 25 years and over S059 523,019 100.0 228,193,464 100.0
..Less than 9th grade S060 28,444 5.4 10,860,370 4.8
..9th to 12th grade, no diploma S061 33,645 6.4 13,412,111 5.9
..High school graduate (includes equivalency) S062 126,493 24.2 59,996,344 26.3
..Some college, no degree S063 116,771 22.3 44,048,941 19.3
..Associate's degree S064 39,699 7.6 19,972,235 8.8
..Bachelor's degree S065 112,732 21.6 48,482,060 21.2
..Graduate or professional degree S066 65,235 12.5 31,421,403 13.8
     
..High school graduate or higher S067 460,930 88.1 203,920,983 89.4
..Bachelor's degree or higher S068 177,967 34.0 79,903,463 35.0
     
VETERAN STATUS      
.Civilian population 18 years and over S069 590,082 100.0 257,083,784 100.0
..Civilian veterans S070 45,866 7.8 16,501,502 6.4
     
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION      
.Total Civilian Noninstitutionalized Population S071 786,282 100.0 326,912,547 100.0
..With a disability S072 117,266 14.9 42,485,034 13.0
     
.Under 18 years S073 202,203 100.0 73,357,731 100.0
..With a disability S074 10,488 5.2 3,399,376 4.6
     
.18 to 64 years S075 471,950 100.0 198,812,874 100.0
..With a disability S076 65,608 13.9 21,246,505 10.7
     
.65 years and over S077 112,129 100.0 54,741,942 100.0
..With a disability S078 41,170 36.7 17,839,153 32.6
     
RESIDENCE 1 YEAR AGO      
.Population 1 year and over S079 789,300 100.0 328,464,538 100.0
..Same house S080 652,228 82.6 286,552,923 87.2
..Different house in the U.S. or abroad S081 137,072 17.4 41,911,615 12.8
..Different house in the U.S. S082 133,626 16.9 40,436,958 12.3
...Same county S083 82,602 10.5 21,878,668 6.7
...Different county S084 51,024 6.5 18,558,290 5.7
....Same state S085 26,166 3.3 10,698,453 3.3
....Different state S086 24,858 3.1 7,859,837 2.4
..Abroad S087 3,446 0.4 1,474,657 0.4
     
PLACE OF BIRTH      
.Total population S088 798,575 100.0 331,893,745 100.0
..Native S089 719,264 90.1 286,623,642 86.4
...Born in United States S090 707,308 88.6 281,070,671 84.7
....State of residence S091 457,072 57.2 191,929,224 57.8
....Different state S092 250,236 31.3 89,141,447 26.9
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s) S093 11,956 1.5 5,552,971 1.7
..Foreign born S094 79,311 9.9 45,270,103 13.6
     
U.S. CITIZENSHIP STATUS      
.Foreign-born population S095 79,311 100.0 45,270,103 100.0
..Naturalized U.S. citizen S096 28,186 35.5 24,044,083 53.1
..Not a U.S. citizen S097 51,125 64.5 21,226,020 46.9
     
YEAR OF ENTRY      
.Population born outside the United States S098 91,267 100.0 50,823,074 100.0
     
..Native S099 11,956 100.0 5,552,971 100.0
...Entered 2010 or later S100 3,289 27.5 1,697,342 30.6
...Entered before 2010 S101 8,667 72.5 3,855,629 69.4
     
..Foreign born S102 79,311 100.0 45,270,103 100.0
...Entered 2010 or later S103 24,009 30.3 12,717,163 28.1
...Entered before 2010 S104 55,302 69.7 32,552,940 71.9
     
WORLD REGION OF BIRTH OF FOREIGN BORN      
.Foreign-born population, excluding population born at sea S105 79,311 100.0 45,269,644 100.0
..Europe S106 4,132 5.2 4,865,317 10.7
..Asia S107 19,141 24.1 14,034,338 31.0
..Africa S108 4,380 5.5 2,597,894 5.7
..Oceania S109 154 0.2 292,766 0.6
..Latin America S110 50,618 63.8 22,691,727 50.1
..Northern America S111 886 1.1 787,602 1.7
     
LANGUAGE SPOKEN AT HOME      
.Population 5 years and over S112 744,272 100.0 313,232,500 100.0
..English only S113 615,218 82.7 245,478,064 78.4
..Language other than English S114 129,054 17.3 67,754,436 21.6
...Speak English less than very well S115 50,031 6.7 25,921,267 8.3
..Spanish S116 98,725 13.3 41,254,941 13.2
...Speak English less than very well S117 40,175 5.4 16,299,869 5.2
..Other Indo-European languages S118 10,611 1.4 11,802,904 3.8
...Speak English less than very well S119 1,476 0.2 3,639,669 1.2
..Asian and Pacific Islander languages S120 15,150 2.0 10,915,574 3.5
...Speak English less than very well S121 7,284 1.0 4,884,562 1.6
..Other languages S122 4,568 0.6 3,781,017 1.2
...Speak English less than very well S123 1,096 0.1 1,097,167 0.4
     
ANCESTRY      
.Total population S124 798,575 100.0 331,893,745 100.0
..American S125 37,004 4.6 17,625,957 5.3
..Arab S126 6,235 0.8 2,222,769 0.7
..Czech S127 3,046 0.4 1,252,833 0.4
..Danish S128 756 0.1 1,122,719 0.3
..Dutch S129 6,889 0.9 3,083,041 0.9
..English S130 89,882 11.3 31,825,171 9.6
..French (except Basque) S131 11,885 1.5 6,448,506 1.9
..French Canadian S132 1,288 0.2 1,602,027 0.5
..German S133 87,260 10.9 42,220,180 12.7
..Greek S134 1,006 0.1 1,184,289 0.4
..Hungarian S135 1,211 0.2 1,221,273 0.4
..Irish S136 69,294 8.7 31,495,897 9.5
..Italian S137 14,702 1.8 15,947,138 4.8
..Lithuanian S138 440 0.1 573,618 0.2
..Norwegian S139 6,213 0.8 3,885,380 1.2
..Polish S140 6,301 0.8 8,237,026 2.5
..Portuguese S141 781 0.1 1,306,039 0.4
..Russian S142 3,360 0.4 2,407,434 0.7
..Scotch-Irish S143 6,493 0.8 2,495,113 0.8
..Scottish S144 12,333 1.5 5,244,788 1.6
..Slovak S145 332 0.0 594,844 0.2
..Subsaharan African S146 7,081 0.9 3,967,734 1.2
..Swedish S147 4,960 0.6 3,318,578 1.0
..Swiss S148 731 0.1 839,159 0.3
..Ukrainian S149 1,112 0.1 980,819 0.3
..Welsh S150 4,612 0.6 1,553,417 0.5
..West Indian (excluding Hispanic origin groups) S151 1,328 0.2 3,064,655 0.9
     
COMPUTERS AND INTERNET USE      
.Total households S152 324,819 100.0 127,544,730 100.0
..With a computer S153 310,082 95.5 121,224,032 95.0
..With a broadband Internet subscription S154 297,739 91.7 114,964,205 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 618,729 100.0 267,057,693 100.0
..In labor force E002 408,256 66.0 168,236,937 63.0
...Civilian labor force E003 402,087 65.0 166,900,336 62.5
....Employed E004 377,878 61.1 156,380,433 58.6
....Unemployed E005 24,209 3.9 10,519,903 3.9
...Armed Forces E006 6,169 1.0 1,336,601 0.5
..Not in labor force E007 210,473 34.0 98,820,756 37.0
     
.Civilian labor force E008 402,087 100.0 166,900,336 100.0
..Unemployment Rate E009 6.00   6.30  
     
.Females 16 years and over E010 318,549 100.0 135,931,305 100.0
..In labor force E011 191,639 60.2 79,347,771 58.4
...Civilian labor force E012 191,073 60.0 79,128,144 58.2
....Employed E013 179,493 56.3 74,173,887 54.6
     
.Own children of the householder under 6 years E014 63,466 100.0 21,632,850 100.0
..All parents in family in labor force E015 39,888 62.8 14,432,156 66.7
     
.Own children of the householder 6 to 17 years E016 128,389 100.0 48,027,938 100.0
..All parents in family in labor force E017 85,419 66.5 34,209,802 71.2
     
COMMUTING TO WORK      
.Workers 16 years and over E018 378,421 100.0 154,314,179 100.0
..Car, truck, or van -- drove alone E019 282,916 74.8 104,650,121 67.8
..Car, truck, or van -- carpooled E020 32,097 8.5 12,018,354 7.8
..Public transportation (excluding taxicab) E021 1,375 0.4 3,793,329 2.5
..Walked E022 7,362 1.9 3,399,405 2.2
..Other means E023 7,325 1.9 2,884,872 1.9
..Worked from home E024 47,346 12.5 27,568,098 17.9
     
..Mean travel time to work (minutes) E025 21.90   25.60  
     
OCCUPATION      
.Civilian employed population 16 years and over E026 377,878 100.0 156,380,433 100.0
..Management, business, science, and arts occupations E027 152,327 40.3 66,001,412 42.2
..Service occupations E028 61,634 16.3 25,151,071 16.1
..Sales and office occupations E029 79,657 21.1 31,329,510 20.0
..Natural resources, construction, and maintenance occupations E030 34,947 9.2 13,368,928 8.5
..Production, transportation, and material moving occupations E031 49,313 13.0 20,529,512 13.1
     
INDUSTRY      
.Civilian employed population 16 years and over E032 377,878 100.0 156,380,433 100.0
..Agriculture, forestry, fishing and hunting, and mining E033 8,455 2.2 2,445,458 1.6
..Construction E034 27,631 7.3 10,773,757 6.9
..Manufacturing E035 22,861 6.0 15,738,828 10.1
..Wholesale trade E036 8,293 2.2 3,616,410 2.3
..Retail trade E037 48,856 12.9 17,307,114 11.1
..Transportation and warehousing, and utilities E038 21,310 5.6 9,237,812 5.9
..Information E039 8,751 2.3 2,908,107 1.9
..Finance and insurance, and real estate and rental and leasing E040 26,809 7.1 10,659,331 6.8
..Professional, scientific, and management, and administrative and waste management services E041 42,038 11.1 19,360,141 12.4
..Educational services, and health care and social assistance E042 85,696 22.7 36,749,102 23.5
..Arts, entertainment, and recreation, and accommodation and food services E043 32,151 8.5 12,892,907 8.2
..Other services, except public administration E044 17,301 4.6 7,170,404 4.6
..Public administration E045 27,726 7.3 7,521,062 4.8
     
CLASS OF WORKER      
.Civilian employed population 16 years and over E046 377,878 100.0 156,380,433 100.0
..Private wage and salary workers E047 288,291 76.3 123,744,069 79.1
..Government workers E048 64,468 17.1 22,860,100 14.6
..Self-employed in own not incorporated business workers E049 24,420 6.5 9,481,077 6.1
..Unpaid family workers E050 699 0.2 295,187 0.2
     
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS)      
.Total households E051 324,819 100.0 127,544,730 100.0
..Less than $10,000 E052 21,934 6.8 7,689,277 6.0
..$10,000 to $14,999 E053 14,788 4.6 4,919,505 3.9
..$15,000 to $24,999 E054 29,363 9.0 9,567,549 7.5
..$25,000 to $34,999 E055 29,490 9.1 9,969,826 7.8
..$35,000 to $49,999 E056 45,777 14.1 14,364,338 11.3
..$50,000 to $74,999 E057 61,064 18.8 21,443,341 16.8
..$75,000 to $99,999 E058 38,485 11.8 16,276,811 12.8
..$100,000 to $149,999 E059 44,037 13.6 20,741,047 16.3
..$150,000 to $199,999 E060 18,633 5.7 10,096,604 7.9
..$200,000 or more E061 21,248 6.5 12,476,432 9.8
..Median household income (dollars) E062 57,764   69,717  
..Mean household income (dollars) E063 80,551   97,962  
     
..With earnings E064 256,151 78.9 98,177,629 77.0
...Mean earnings (dollars) E065 79,664   99,688  
..With Social Security E066 87,762 27.0 39,741,545 31.2
...Mean Social Security income (dollars) E067 21,010   21,152  
..With retirement income E068 73,003 22.5 30,669,175 24.0
...Mean retirement income (dollars) E069 27,036   29,628  
     
..With Supplemental Security Income E070 17,518 5.4 6,588,644 5.2
...Mean Supplemental Security Income (dollars) E071 9,591   10,230  
..With cash public assistance income E072 13,689 4.2 4,282,321 3.4
...Mean cash public assistance income (dollars) E073 3,209   5,240  
..With Food Stamp/SNAP benefits in the past 12 months E074 50,374 15.5 15,838,862 12.4
     
.Families E075 201,510 100.0 82,464,986 100.0
..Less than $10,000 E076 9,957 4.9 3,056,415 3.7
..$10,000 to $14,999 E077 5,957 3.0 1,667,928 2.0
..$15,000 to $24,999 E078 11,118 5.5 4,086,661 5.0
..$25,000 to $34,999 E079 15,701 7.8 5,117,957 6.2
..$35,000 to $49,999 E080 25,421 12.6 8,245,080 10.0
..$50,000 to $74,999 E081 37,367 18.5 13,648,681 16.6
..$75,000 to $99,999 E082 26,362 13.1 11,644,350 14.1
..$100,000 to $149,999 E083 35,216 17.5 16,152,982 19.6
..$150,000 to $199,999 E084 15,818 7.8 8,285,960 10.0
..$200,000 or more E085 18,593 9.2 10,558,972 12.8
..Median family income (dollars) E086 71,548   85,806  
..Mean family income (dollars) E087 97,083   115,522  
     
.Per capita income (dollars) E088 32,854   38,332  
     
.Nonfamily households E089 123,309 100.0 45,079,744 100.0
..Median nonfamily income (dollars) E090 37,426   41,549  
..Mean nonfamily income (dollars) E091 49,967   61,091  
     
.Median earnings for workers (dollars) E092 35,338   40,260  
.Median earnings for male full-time, year-round workers (dollars) E093 51,565   60,428  
.Median earnings for female full-time, year-round workers (dollars) E094 40,736   49,263  
     
HEALTH INSURANCE COVERAGE      
.Civilian noninstitutionalized population E095 786,282 100.0 326,912,547 100.0
..With health insurance coverage E096 679,781 86.5 298,685,665 91.4
...With private health insurance E097 495,020 63.0 219,074,507 67.0
...With public coverage E098 286,440 36.4 120,198,470 36.8
..No health insurance coverage E099 106,501 13.5 28,226,882 8.6
     
.Civilian noninstitutionalized population under 19 years E100 211,250 100.0 77,830,503 100.0
..No health insurance coverage E101 12,983 6.1 4,164,688 5.4
     
.Civilian noninstitutionalized population 19 to 64 years E102 462,903 100.0 194,340,102 100.0
..In labor force: E103 367,040 100.0 152,120,273 100.0
...Employed: E104 345,439 100.0 142,779,946 100.0
....With health insurance coverage E105 285,153 82.5 127,829,928 89.5
.....With private health insurance E106 268,666 77.8 116,136,040 81.3
.....With public coverage E107 32,003 9.3 16,087,515 11.3
....No health insurance coverage E108 60,286 17.5 14,950,018 10.5
...Unemployed: E109 21,601 100.0 9,340,327 100.0
....With health insurance coverage E110 13,009 60.2 7,048,775 75.5
.....With private health insurance E111 7,357 34.1 3,867,469 41.4
.....With public coverage E112 6,311 29.2 3,523,835 37.7
....No health insurance coverage E113 8,592 39.8 2,291,552 24.5
..Not in labor force: E114 95,863 100.0 42,219,829 100.0
...With health insurance coverage E115 72,657 75.8 35,844,186 84.9
....With private health insurance E116 46,627 48.6 21,241,038 50.3
....With public coverage E117 33,311 34.7 17,509,893 41.5
...No health insurance coverage E118 23,206 24.2 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 12.2   9.1  
..With related children of the householder under 18 years E120 21.0   14.1  
...With related children of the householder under 5 years only E121 16.4   13.0  
..Married couple families E122 5.2   4.7  
...With related children of the householder under 18 years E123 9.1   6.2  
....With related children of the householder under 5 years only E124 3.0   4.8  
..Families with female householder, no spouse present E125 34.7   24.4  
...With related children of the householder under 18 years E126 44.8   33.7  
....With related children of the householder under 5 years only E127 44.3   37.9  
     
.All people E128 16.5   12.8  
..Under 18 years E129 25.5   16.9  
...Related children of the householder under 18 years E130 25.3   16.6  
....Related children of the householder under 5 years E131 27.9   18.3  
....Related children of the householder 5 to 17 years E132 24.3   16.1  
..18 years and over E133 13.4   11.6  
...18 to 64 years E134 14.5   11.9  
...65 years and over E135 8.4   10.3  
..People in families E136 14.8   10.0  
..Unrelated individuals 15 years and over E137 22.8   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 September 2022; next update November 26, 2022 (October 2022 data). Table below saved as c:\dede\1\40109bp.csv.
Units in StructureJan-20Feb-20Mar-20Apr-20May-20Jun-20Jul-20Aug-20Sep-20Oct-20Nov-20Dec-20
Single Family, Buildings 333 348 430 321 257 531 427 460 487 481 389 391
Single Family, Units 333 348 430 321 257 531 427 460 487 481 389 391
Single Family, Value 76,066 80,816 101,859 72,624 57,393 117,514 100,852 115,099 119,038 117,487 100,228 102,419
2 Unit, Buildings 5 13 14 8 10 14 9 7 7 10 1 3
2 Unit, Units 10 26 28 16 20 28 18 14 14 20 2 6
2 Unit, Value 954 2,756 1,523 1,657 1,740 2,550 1,979 1,796 1,165 2,167 200 522
3-4 Unit, Buildings 0 1 0 0 0 0 0 0 0 0 0 2
3-4 Unit, Units 0 3 0 0 0 0 0 0 0 0 0 8
3-4 Unit, Value 0 338 0 0 0 0 0 0 0 0 0 1,680
5+ Unit, Buildings 1 0 0 0 0 0 0 0 0 0 0 0
5+ Unit, Units 5 0 0 0 0 0 0 0 0 0 0 0
5+ Unit, Value 353 0 0 0 0 0 0 0 0 0 0 0

Units in StructureJan-21Feb-21Mar-21Apr-21May-21Jun-21Jul-21Aug-21Sep-21Oct-21Nov-21Dec-21
Single Family, Buildings 438 441 556 517 495 504 457 484 428 417 395 426
Single Family, Units 438 441 556 517 495 504 457 484 428 417 395 426
Single Family, Value 105,120 112,703 136,041 129,249 125,664 122,938 112,082 132,030 108,276 101,772 106,473 111,836
2 Unit, Buildings 7 20 12 7 6 6 6 5 4 4 4 7
2 Unit, Units 14 40 24 14 12 12 12 10 8 8 8 14
2 Unit, Value 1,462 3,012 2,545 1,196 896 896 896 746 597 597 597 1,045
3-4 Unit, Buildings 0 0 0 0 0 0 0 0 0 0 0 0
3-4 Unit, Units 0 0 0 0 0 0 0 0 0 0 0 0
3-4 Unit, Value 0 0 0 0 0 0 0 0 0 0 0 0
5+ Unit, Buildings 0 0 0 0 0 0 0 0 0 0 0 0
5+ Unit, Units 0 0 0 0 0 0 0 0 0 0 0 0
5+ Unit, Value 0 0 0 0 0 0 0 0 0 0 0 0

Units in StructureJan-22Feb-22Mar-22Apr-22May-22Jun-22Jul-22Aug-22Sep-22Oct-22Nov-22Dec-22
Single Family, Buildings 370 450 623 494 441 397 259 366 231 0 0 0
Single Family, Units 370 450 623 494 441 397 259 366 231 0 0 0
Single Family, Value 112,201 121,575 172,053 159,648 137,420 126,702 88,979 116,792 87,348 0 0 0
2 Unit, Buildings 10 4 4 16 18 28 17 19 11 0 0 0
2 Unit, Units 20 8 8 32 36 56 34 38 22 0 0 0
2 Unit, Value 2,462 850 960 3,335 3,330 7,420 3,171 3,935 3,517 0 0 0
3-4 Unit, Buildings 0 0 0 0 0 0 0 0 0 0 0 0
3-4 Unit, Units 0 0 0 0 0 0 0 0 0 0 0 0
3-4 Unit, Value 0 0 0 0 0 0 0 0 0 0 0 0
5+ Unit, Buildings 0 0 0 0 0 2 3 0 0 0 0 0
5+ Unit, Units 0 0 0 0 0 267 67 0 0 0 0 0
5+ Unit, Value 0 0 0 0 0 96,000 14,520 0 0 0 0 0


2.4.1a. New Authorized Residential Construction.. goto topics
Annual for County
Units in Structure2015201620172018201920202021
Single Family, Buildings 4,123 3,787 3,762 3,894 4,193 4,799 5,352
Single Family, Units 4,123 3,787 3,762 3,894 4,193 4,799 5,352
Single Family, Value 926,474 844,407 859,086 913,798 995,125 1,172,115 1,425,449
2 Unit, Buildings 58 44 61 64 117 92 74
2 Unit, Units 116 88 122 128 234 184 148
2 Unit, Value 11,891 9,067 17,289 13,907 23,100 16,141 16,210
3-4 Unit, Buildings 1 6 1 5 0 2 0
3-4 Unit, Units 4 24 4 17 0 8 0
3-4 Unit, Value 1,928 1,290 250 1,915 0 1,680 0
5+ Unit, Buildings 7 14 0 3 0 0 0
5+ Unit, Units 140 209 0 31 0 0 0
5+ Unit, Value 7,719 14,757 0 2,189 0 0 0


2.4.2. Housing Characteristics .. goto topics
.. units in structure, year built, year moved into unit, rooms in unit, vehicles available, occupancy/vacancy, owner/renter, value, rent characteristics
    and related housing attributes.
.. based on ACS 2021 1-year data (ACS). Negative cell value indicates NA.
HOUSING CHARACTERISTICS (DP4) ItemCode County Estimate County Percent U.S. Estimate U.S. Percent
HOUSING OCCUPANCY      
.Total housing units H001 356,754 100.0 142,148,050 100.0
..Occupied housing units H002 324,819 91.0 127,544,730 89.7
..Vacant housing units H003 31,935 9.0 14,603,320 10.3
     
..Homeowner vacancy rate H004 1.20   0.90  
..Rental vacancy rate H005 8.80   5.20  
     
UNITS IN STRUCTURE      
.Total housing units H006 356,754 100.0 142,148,050 100.0
..1-unit, detached H007 248,962 69.8 87,804,068 61.8
..1-unit, attached H008 11,340 3.2 8,823,839 6.2
..2 units H009 6,466 1.8 4,698,934 3.3
..3 or 4 units H010 17,723 5.0 6,069,239 4.3
..5 to 9 units H011 21,546 6.0 6,379,448 4.5
..10 to 19 units H012 17,659 4.9 5,996,065 4.2
..20 or more units H013 23,722 6.6 14,201,780 10.0
..Mobile home H014 9,239 2.6 8,008,783 5.6
..Boat, RV, van, etc. H015 97 0.0 165,894 0.1
     
YEAR STRUCTURE BUILT      
.Total housing units H016 356,754 100.0 142,148,050 100.0
..Built 2014 or later H017 2,389 0.7 1,073,629 0.8
..Built 2010 to 2013 H018 38,094 10.7 13,632,007 9.6
..Built 2000 to 2009 H019 42,133 11.8 19,697,259 13.9
..Built 1990 to 1999 H020 27,941 7.8 17,452,834 12.3
..Built 1980 to 1989 H021 47,969 13.4 18,532,262 13.0
..Built 1970 to 1979 H022 60,165 16.9 20,442,202 14.4
..Built 1960 to 1969 H023 51,960 14.6 14,202,613 10.0
..Built 1950 to 1959 H024 44,574 12.5 13,738,856 9.7
..Built 1940 to 1949 H025 19,497 5.5 6,474,803 4.6
..Built 1939 or earlier H026 22,032 6.2 16,901,585 11.9
     
ROOMS      
.Total housing units H027 356,754 100.0 142,148,050 100.0
..1 room H028 7,490 2.1 3,589,031 2.5
..2 rooms H029 8,867 2.5 4,350,654 3.1
..3 rooms H030 32,815 9.2 12,820,515 9.0
..4 rooms H031 54,851 15.4 22,251,103 15.7
..5 rooms H032 77,350 21.7 26,439,561 18.6
..6 rooms H033 74,011 20.7 24,927,199 17.5
..7 rooms H034 43,693 12.2 17,046,581 12.0
..8 rooms H035 24,386 6.8 12,894,229 9.1
..9 rooms or more H036 33,291 9.3 17,829,177 12.5
..Median rooms H037 5.5   5.6  
     
BEDROOMS      
.Total housing units H038 356,754 100.0 142,148,050 100.0
..No bedroom H039 8,094 2.3 3,959,211 2.8
..1 bedroom H040 41,560 11.6 15,384,897 10.8
..2 bedrooms H041 89,497 25.1 35,600,388 25.0
..3 bedrooms H042 151,768 42.5 55,386,244 39.0
..4 bedrooms H043 58,128 16.3 24,894,730 17.5
..5 or more bedrooms H044 7,707 2.2 6,922,580 4.9
     
HOUSING TENURE      
.Occupied housing units H045 324,819 100.0 127,544,730 100.0
..Owner-occupied H046 189,715 58.4 83,396,988 65.4
..Renter-occupied H047 135,104 41.6 44,147,742 34.6
     
..Average household size of owner-occupied unit H048 2.53   2.65  
..Average household size of renter-occupied unit H049 2.25   2.33  
     
YEAR HOUSEHOLDER MOVED INTO UNIT      
.Occupied housing units H050 324,819 100.0 127,544,730 100.0
..Moved in 2017 or later H051 112,347 34.6 34,784,732 27.3
..Moved in 2015 to 2016 H052 69,329 21.3 28,234,034 22.1
..Moved in 2010 to 2014 H053 43,089 13.3 16,462,478 12.9
..Moved in 2000 to 2009 H054 46,242 14.2 22,180,943 17.4
..Moved in 1990 to 1999 H055 27,210 8.4 12,938,673 10.1
..Moved in 1989 and earlier H056 26,602 8.2 12,943,870 10.1
     
VEHICLES AVAILABLE      
.Occupied housing units H057 324,819 100.0 127,544,730 100.0
..No vehicles available H058 18,157 5.6 10,263,494 8.0
..1 vehicle available H059 118,188 36.4 41,959,133 32.9
..2 vehicles available H060 123,399 38.0 47,337,486 37.1
..3 or more vehicles available H061 65,075 20.0 27,984,617 21.9
     
HOUSE HEATING FUEL      
.Occupied housing units H062 324,819 100.0 127,544,730 100.0
..Utility gas H063 191,507 59.0 59,246,257 46.5
..Bottled, tank, or LP gas H064 7,687 2.4 6,326,791 5.0
..Electricity H065 122,789 37.8 52,279,174 41.0
..Fuel oil, kerosene, etc. H066 378 0.1 5,218,757 4.1
..Coal or coke H067 87 0.0 95,160 0.1
..Wood H068 1,024 0.3 1,792,240 1.4
..Solar energy H069 0 100.0 362,346 100.0
..Other fuel H070 550 0.2 640,525 0.5
..No fuel used H071 797 0.2 1,583,480 1.2
     
SELECTED CHARACTERISTICS      
.Occupied housing units H072 324,819 100.0 127,544,730 100.0
..Lacking complete plumbing facilities H073 1,389 0.4 522,752 0.4
..Lacking complete kitchen facilities H074 2,583 0.8 1,027,179 0.8
..No telephone service available H075 2,140 0.7 1,152,803 0.9
     
OCCUPANTS PER ROOM      
.Occupied housing units H076 324,819 100.0 127,544,730 100.0
..1.00 or less H077 314,493 96.8 123,222,676 96.6
..1.01 to 1.50 H078 7,659 2.4 2,811,853 2.2
..1.51 or more H079 2,667 0.8 1,510,201 1.2
     
VALUE      
.Owner-occupied units H080 189,715 100.0 83,396,988 100.0
..Less than $50,000 H081 11,836 6.2 5,012,399 6.0
..$50,000 to $99,999 H082 26,502 14.0 6,591,730 7.9
..$100,000 to $149,999 H083 29,602 15.6 7,393,172 8.9
..$150,000 to $199,999 H084 35,486 18.7 9,312,599 11.2
..$200,000 to $299,999 H085 43,630 23.0 16,283,130 19.5
..$300,000 to $499,999 H086 28,053 14.8 20,456,170 24.5
..$500,000 to $999,999 H087 12,094 6.4 14,149,578 17.0
..$1,000,000 or more H088 2,512 1.3 4,198,210 5.0
..Median (dollars) H089 186,000   281,400  
     
MORTGAGE STATUS      
.Owner-occupied units H090 189,715 100.0 83,396,988 100.0
..Housing units with a mortgage H091 110,235 58.1 51,114,260 61.3
..Housing units without a mortgage H092 79,480 41.9 32,282,728 38.7
     
SELECTED MONTHLY OWNER COSTS (SMOC)      
.Housing units with a mortgage H093 110,235 100.0 51,114,260 100.0
..Less than $500 H094 621 0.6 610,377 1.2
..$500 to $999 H095 24,868 22.6 7,554,733 14.8
..$1,000 to $1,499 H096 38,289 34.7 13,171,613 25.8
..$1,500 to $1,999 H097 21,430 19.4 11,146,103 21.8
..$2,000 to $2,499 H098 11,445 10.4 7,205,428 14.1
..$2,500 to $2,999 H099 5,036 4.6 4,377,761 8.6
..$3,000 or more H100 8,546 7.8 7,048,245 13.8
..Median (dollars) H101 1,389   1,672  
     
.Housing units without a mortgage H102 79,480 100.0 32,282,728 100.0
..Less than $250 H103 10,283 12.9 3,275,543 10.1
..$250 to $399 H104 17,237 21.7 6,595,521 20.4
..$400 to $599 H105 24,249 30.5 8,756,466 27.1
..$600 to $799 H106 15,300 19.3 5,686,328 17.6
..$800 to $999 H107 6,164 7.8 3,229,527 10.0
..$1,000 or more H108 6,247 7.9 4,739,343 14.7
..Median (dollars) H109 490   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 109,805 100.0 50,836,661 100.0
..Less than 20.0 percent H111 57,539 52.4 24,183,280 47.6
..20.0 to 24.9 percent H112 16,389 14.9 7,621,860 15.0
..25.0 to 29.9 percent H113 9,782 8.9 5,016,096 9.9
..30.0 to 34.9 percent H114 4,857 4.4 3,332,250 6.6
..35.0 percent or more H115 21,238 19.3 10,683,175 21.0
     
..Not computed H116 430 -1.0 277,599 -1.0
     
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed) H117 78,764 100.0 31,799,186 100.0
..Less than 10.0 percent H118 39,923 50.7 14,658,010 46.1
..10.0 to 14.9 percent H119 15,191 19.3 6,068,100 19.1
..15.0 to 19.9 percent H120 8,587 10.9 3,345,349 10.5
..20.0 to 24.9 percent H121 4,471 5.7 2,022,803 6.4
..25.0 to 29.9 percent H122 2,873 3.6 1,293,336 4.1
..30.0 to 34.9 percent H123 1,620 2.1 882,995 2.8
..35.0 percent or more H124 6,099 7.7 3,528,593 11.1
     
..Not computed H125 716 -1.0 483,542 -1.0
     
GROSS RENT      
.Occupied units paying rent H126 129,924 100.0 41,991,861 100.0
..Less than $500 H127 8,151 6.3 3,320,529 7.9
..$500 to $999 H128 67,306 51.8 12,202,521 29.1
..$1,000 to $1,499 H129 40,346 31.1 12,853,108 30.6
..$1,500 to $1,999 H130 9,916 7.6 7,483,407 17.8
..$2,000 to $2,499 H131 2,514 1.9 3,236,958 7.7
..$2,500 to $2,999 H132 1,002 0.8 1,310,696 3.1
..$3,000 or more H133 689 0.5 1,584,642 3.8
..Median (dollars) H134 930   1,191  
     
..No rent paid H135 5,180 -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 126,255 100.0 40,979,329 100.0
..Less than 15.0 percent H137 17,780 14.1 5,229,582 12.8
..15.0 to 19.9 percent H138 14,060 11.1 5,001,591 12.2
..20.0 to 24.9 percent H139 15,263 12.1 5,122,898 12.5
..25.0 to 29.9 percent H140 14,745 11.7 4,703,786 11.5
..30.0 to 34.9 percent H141 13,052 10.3 3,737,862 9.1
..35.0 percent or more H142 51,355 40.7 17,183,610 41.9
     
..Not computed H143 8,849 -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 30,414 100.0 462,409 100.0 6,982,202,128 100.0 1,162
Total, Federal 10 1 112 0.4 28,345 6.1 549,721,120 7.9 1,492
Total, State 10 2 155 0.5 22,910 5.0 325,476,487 4.7 1,093
Total, Local 10 3 189 0.6 26,368 5.7 331,095,390 4.7 966
Total, Private 10 5 29,958 98.5 384,786 83.2 5,775,909,131 82.7 1,155
Agriculture, forestry, fishing and hunting 11 5 131 0.4 805 0.2 6,463,679 0.1 618
Crop production 111 5 73 0.2 501 0.1 4,144,182 0.1 636
Animal production 112 5 10 0.0 35 0.0 330,430 0.0 733
Agriculture and forestry support activities 115 5 48 0.2 269 0.1 1,989,067 0.0 568
Mining 21 5 731 2.4 7,136 1.5 513,514,576 7.4 5,535
Oil and gas extraction 211 5 294 1.0 3,941 0.9 441,367,620 6.3 8,614
Mining, except oil and gas 212 5 11 0.0 112 0.0 1,405,669 0.0 963
Support activities for mining 213 5 426 1.4 3,082 0.7 70,741,287 1.0 1,765
Utilities 22 2 1 0.0 0 0.0 0 0.0 0
Utilities 22 3 16 0.1 0 0.0 0 0.0 0
Utilities 22 5 64 0.2 1,809 0.4 55,838,138 0.8 2,374
Utilities 221 2 1 0.0 0 0.0 0 0.0 0
Utilities 221 3 16 0.1 0 0.0 0 0.0 0
Utilities 221 5 64 0.2 1,809 0.4 55,838,138 0.8 2,374
Construction 23 3 11 0.0 574 0.1 8,318,688 0.1 1,114
Construction 23 5 2,384 7.8 20,790 4.5 293,765,739 4.2 1,087
Construction of buildings 236 3 1 0.0 0 0.0 0 0.0 0
Construction of buildings 236 5 695 2.3 4,128 0.9 66,218,776 0.9 1,234
Heavy and civil engineering construction 237 3 9 0.0 549 0.1 7,979,635 0.1 1,119
Heavy and civil engineering construction 237 5 182 0.6 3,484 0.8 48,489,589 0.7 1,070
Specialty trade contractors 238 3 1 0.0 0 0.0 0 0.0 0
Specialty trade contractors 238 5 1,507 5.0 13,177 2.8 179,057,374 2.6 1,045
Manufacturing 31-33 5 913 3.0 24,028 5.2 430,421,391 6.2 1,378
Food manufacturing 311 5 81 0.3 1,951 0.4 24,712,384 0.4 974
Beverage and tobacco product manufacturing 312 5 28 0.1 991 0.2 12,837,254 0.2 996
Textile mills 313 5 8 0.0 29 0.0 404,158 0.0 1,072
Textile product mills 314 5 15 0.0 208 0.0 1,490,687 0.0 551
Apparel manufacturing 315 5 6 0.0 0 0.0 0 0.0 0
Leather and allied product manufacturing 316 5 2 0.0 0 0.0 0 0.0 0
Wood product manufacturing 321 5 20 0.1 294 0.1 3,174,345 0.0 830
Paper manufacturing 322 5 10 0.0 458 0.1 7,347,632 0.1 1,233
Printing and related support activities 323 5 100 0.3 768 0.2 9,459,021 0.1 948
Petroleum and coal products manufacturing 324 5 12 0.0 372 0.1 8,555,121 0.1 1,771
Chemical manufacturing 325 5 43 0.1 789 0.2 16,834,450 0.2 1,641
Plastics and rubber products manufacturing 326 5 28 0.1 1,260 0.3 19,359,591 0.3 1,182
Nonmetallic mineral product manufacturing 327 5 39 0.1 633 0.1 6,835,453 0.1 830
Primary metal manufacturing 331 5 8 0.0 206 0.0 2,379,476 0.0 889
Fabricated metal product manufacturing 332 5 157 0.5 5,018 1.1 78,944,477 1.1 1,210
Machinery manufacturing 333 5 93 0.3 3,179 0.7 49,289,542 0.7 1,193
Computer and electronic product manufacturing 334 5 65 0.2 830 0.2 15,706,011 0.2 1,455
Electrical equipment and appliance manufacturing 335 5 11 0.0 193 0.0 2,449,711 0.0 976
Transportation equipment manufacturing 336 5 48 0.2 4,321 0.9 135,506,700 1.9 2,412
Furniture and related product manufacturing 337 5 52 0.2 1,029 0.2 10,423,563 0.1 779
Miscellaneous manufacturing 339 5 87 0.3 1,174 0.3 21,432,647 0.3 1,404
Wholesale trade 42 5 2,025 6.7 19,030 4.1 355,095,148 5.1 1,435
Merchant wholesalers, durable goods 423 5 932 3.1 10,356 2.2 212,088,817 3.0 1,575
Merchant wholesalers, nondurable goods 424 5 466 1.5 6,455 1.4 106,070,430 1.5 1,264
Electronic markets and agents and brokers 425 5 627 2.1 2,219 0.5 36,935,901 0.5 1,280
Retail trade 44-45 1 5 0.0 324 0.1 1,211,253 0.0 288
Retail trade 44-45 5 3,221 10.6 46,967 10.2 449,573,228 6.4 736
Motor vehicle and parts dealers 441 1 1 0.0 2 0.0 11,949 0.0 460
Motor vehicle and parts dealers 441 5 400 1.3 6,998 1.5 114,032,631 1.6 1,253
Building material and garden supply stores 444 5 263 0.9 4,753 1.0 48,770,938 0.7 789
Food and beverage stores 445 1 1 0.0 70 0.0 615,521 0.0 676
Food and beverage stores 445 5 293 1.0 6,110 1.3 45,414,427 0.7 572
Food and beverage stores 449 1 1 0.0 3 0.0 28,728 0.0 737
Food and beverage stores 449 5 287 0.9 3,631 0.8 45,706,358 0.7 968
Food and beverage stores 455 1 1 0.0 247 0.1 551,969 0.0 172
Food and beverage stores 455 5 206 0.7 9,360 2.0 71,683,250 1.0 589
Food and beverage stores 456 5 372 1.2 3,081 0.7 34,518,250 0.5 862
Food and beverage stores 457 5 271 0.9 3,532 0.8 25,798,453 0.4 562
Food and beverage stores 458 5 375 1.2 3,160 0.7 17,517,106 0.3 426
Food and beverage stores 459 1 1 0.0 2 0.0 3,086 0.0 119
Food and beverage stores 459 5 754 2.5 6,341 1.4 46,131,815 0.7 560
Transportation and warehousing 48-49 1 30 0.1 1,786 0.4 27,365,355 0.4 1,179
Transportation and warehousing 48-49 2 2 0.0 0 0.0 0 0.0 0
Transportation and warehousing 48-49 3 4 0.0 0 0.0 0 0.0 0
Transportation and warehousing 48-49 5 716 2.4 24,714 5.3 264,758,203 3.8 824
Air transportation 481 2 1 0.0 0 0.0 0 0.0 0
Air transportation 481 5 20 0.1 513 0.1 9,072,244 0.1 1,359
Truck transportation 484 5 375 1.2 5,678 1.2 78,794,330 1.1 1,067
Transit and ground passenger transportation 485 3 1 0.0 0 0.0 0 0.0 0
Transit and ground passenger transportation 485 5 25 0.1 418 0.1 3,340,720 0.0 614
Pipeline transportation 486 5 20 0.1 171 0.0 9,177,633 0.1 4,128
Scenic and sightseeing transportation 487 5 4 0.0 0 0.0 0 0.0 0
Support activities for transportation 488 2 1 0.0 0 0.0 0 0.0 0
Support activities for transportation 488 3 1 0.0 0 0.0 0 0.0 0
Support activities for transportation 488 5 152 0.5 2,523 0.5 44,502,033 0.6 1,357
Postal service 491 1 30 0.1 1,786 0.4 27,365,355 0.4 1,179
Postal service 491 5 1 0.0 0 0.0 0 0.0 0
Couriers and messengers 492 3 1 0.0 0 0.0 0 0.0 0
Couriers and messengers 492 5 78 0.3 5,372 1.2 47,293,899 0.7 677
Warehousing and storage 493 3 1 0.0 0 0.0 0 0.0 0
Warehousing and storage 493 5 41 0.1 9,989 2.2 72,413,403 1.0 558
Information 51 1 1 0.0 3 0.0 27,184 0.0 697
Information 51 2 2 0.0 0 0.0 0 0.0 0
Information 51 3 2 0.0 0 0.0 0 0.0 0
Information 51 5 502 1.7 4,540 1.0 88,526,649 1.3 1,500
Motion picture and sound recording industries 512 5 49 0.2 499 0.1 2,642,483 0.0 408
Motion picture and sound recording industries 513 5 172 0.6 640 0.1 13,119,646 0.2 1,576
Internet publishing and broadcasting 516 5 54 0.2 891 0.2 13,630,117 0.2 1,176
Telecommunications 517 5 118 0.4 1,819 0.4 46,140,376 0.7 1,951
ISPs, search portals, and data processing 518 3 1 0.0 0 0.0 0 0.0 0
ISPs, search portals, and data processing 518 5 99 0.3 617 0.1 11,391,554 0.2 1,420
Other information services 519 1 1 0.0 3 0.0 27,184 0.0 697
Other information services 519 2 2 0.0 0 0.0 0 0.0 0
Other information services 519 3 1 0.0 0 0.0 0 0.0 0
Other information services 519 5 10 0.0 74 0.0 1,602,473 0.0 1,673
Finance and insurance 52 1 1 0.0 38 0.0 956,612 0.0 1,920
Finance and insurance 52 2 3 0.0 17 0.0 302,363 0.0 1,368
Finance and insurance 52 3 1 0.0 0 0.0 0 0.0 0
Finance and insurance 52 5 2,138 7.0 19,634 4.2 473,579,736 6.8 1,855
Monetary authorities - central bank 521 5 3 0.0 0 0.0 0 0.0 0
Credit intermediation and related activities 522 5 708 2.3 9,618 2.1 201,340,198 2.9 1,610
Securities, commodity contracts, investments 523 2 2 0.0 0 0.0 0 0.0 0
Securities, commodity contracts, investments 523 5 537 1.8 1,806 0.4 66,851,124 1.0 2,848
Insurance carriers and related activities 524 1 1 0.0 38 0.0 956,612 0.0 1,920
Insurance carriers and related activities 524 3 1 0.0 0 0.0 0 0.0 0
Insurance carriers and related activities 524 5 880 2.9 8,149 1.8 203,791,692 2.9 1,924
Funds, trusts, and other financial vehicles 525 2 1 0.0 0 0.0 0 0.0 0
Funds, trusts, and other financial vehicles 525 5 10 0.0 0 0.0 0 0.0 0
Real estate and rental and leasing 53 3 1 0.0 0 0.0 0 0.0 0
Real estate and rental and leasing 53 5 1,447 4.8 7,751 1.7 101,699,857 1.5 1,009
Real estate 531 3 1 0.0 0 0.0 0 0.0 0
Real estate 531 5 1,222 4.0 4,601 1.0 53,035,005 0.8 887
Rental and leasing services 532 5 207 0.7 3,097 0.7 47,846,131 0.7 1,189
Lessors of nonfinancial intangible assets 533 5 18 0.1 53 0.0 818,721 0.0 1,188
Professional and technical services 54 1 4 0.0 31 0.0 685,021 0.0 1,700
Professional and technical services 54 3 2 0.0 0 0.0 0 0.0 0
Professional and technical services 54 5 4,611 15.2 31,080 6.7 540,972,527 7.7 1,339
Professional and technical services 541 1 4 0.0 31 0.0 685,021 0.0 1,700
Professional and technical services 541 3 2 0.0 0 0.0 0 0.0 0
Professional and technical services 541 5 4,611 15.2 31,080 6.7 540,972,527 7.7 1,339
Management of companies and enterprises 55 5 180 0.6 8,494 1.8 336,152,934 4.8 3,044
Management of companies and enterprises 551 5 180 0.6 8,494 1.8 336,152,934 4.8 3,044
Administrative and waste services 56 1 2 0.0 9 0.0 68,692 0.0 587
Administrative and waste services 56 2 3 0.0 62 0.0 709,534 0.0 880
Administrative and waste services 56 3 9 0.0 0 0.0 0 0.0 0
Administrative and waste services 56 5 2,250 7.4 34,408 7.4 399,946,212 5.7 894
Administrative and support services 561 1 1 0.0 3 0.0 20,690 0.0 531
Administrative and support services 561 2 3 0.0 62 0.0 709,534 0.0 880
Administrative and support services 561 3 2 0.0 0 0.0 0 0.0 0
Administrative and support services 561 5 2,166 7.1 33,413 7.2 385,873,288 5.5 888
Waste management and remediation services 562 1 1 0.0 6 0.0 48,002 0.0 615
Waste management and remediation services 562 3 7 0.0 182 0.0 2,298,369 0.0 970
Waste management and remediation services 562 5 84 0.3 995 0.2 14,072,924 0.2 1,088
Educational services 61 2 9 0.0 0 0.0 0 0.0 0
Educational services 61 3 21 0.1 16,558 3.6 176,546,280 2.5 820
Educational services 61 5 324 1.1 8,490 1.8 97,422,945 1.4 883
Educational services 611 2 9 0.0 0 0.0 0 0.0 0
Educational services 611 3 21 0.1 16,558 3.6 176,546,280 2.5 820
Educational services 611 5 324 1.1 8,490 1.8 97,422,945 1.4 883
Health care and social assistance 62 1 4 0.0 2,934 0.6 61,943,036 0.9 1,624
Health care and social assistance 62 2 2 0.0 0 0.0 0 0.0 0
Health care and social assistance 62 3 15 0.0 328 0.1 4,767,294 0.1 1,119
Health care and social assistance 62 5 3,798 12.5 64,476 13.9 961,013,863 13.8 1,147
Ambulatory health care services 621 3 12 0.0 301 0.1 4,508,684 0.1 1,152
Ambulatory health care services 621 5 2,683 8.8 25,161 5.4 419,917,928 6.0 1,284
Hospitals 622 1 2 0.0 2,598 0.6 58,063,942 0.8 1,719
Hospitals 622 2 2 0.0 0 0.0 0 0.0 0
Hospitals 622 5 27 0.1 24,713 5.3 419,440,537 6.0 1,306
Nursing and residential care facilities 623 5 175 0.6 5,970 1.3 60,959,918 0.9 785
Social assistance 624 1 2 0.0 335 0.1 3,879,094 0.1 890
Social assistance 624 3 3 0.0 27 0.0 258,610 0.0 746
Social assistance 624 5 913 3.0 8,631 1.9 60,695,480 0.9 541
Arts, entertainment, and recreation 71 1 5 0.0 45 0.0 301,859 0.0 516
Arts, entertainment, and recreation 71 3 8 0.0 466 0.1 3,409,209 0.0 563
Arts, entertainment, and recreation 71 5 343 1.1 5,547 1.2 59,254,589 0.8 822
Performing arts and spectator sports 711 5 140 0.5 1,648 0.4 36,571,236 0.5 1,707
Museums, historical sites, zoos, and parks 712 1 1 0.0 9 0.0 98,896 0.0 845
Museums, historical sites, zoos, and parks 712 3 2 0.0 0 0.0 0 0.0 0
Museums, historical sites, zoos, and parks 712 5 17 0.1 511 0.1 4,857,385 0.1 732
Amusements, gambling, and recreation 713 1 4 0.0 36 0.0 202,963 0.0 434
Amusements, gambling, and recreation 713 3 6 0.0 0 0.0 0 0.0 0
Amusements, gambling, and recreation 713 5 186 0.6 3,388 0.7 17,825,968 0.3 405
Accommodation and food services 72 1 5 0.0 17 0.0 71,801 0.0 325
Accommodation and food services 72 5 2,249 7.4 43,856 9.5 231,415,633 3.3 406
Accommodation 721 1 3 0.0 12 0.0 56,572 0.0 363
Accommodation 721 5 246 0.8 4,363 0.9 27,219,172 0.4 480
Food services and drinking places 722 1 2 0.0 5 0.0 15,229 0.0 234
Food services and drinking places 722 5 2,003 6.6 39,493 8.5 204,196,461 2.9 398
Other services, except public administration 81 1 1 0.0 1 0.0 9,901 0.0 762
Other services, except public administration 81 2 2 0.0 0 0.0 0 0.0 0
Other services, except public administration 81 3 4 0.0 86 0.0 1,397,320 0.0 1,245
Other services, except public administration 81 5 1,931 6.3 11,230 2.4 116,494,084 1.7 798
Repair and maintenance 811 1 1 0.0 1 0.0 9,901 0.0 762
Repair and maintenance 811 3 2 0.0 0 0.0 0 0.0 0
Repair and maintenance 811 5 716 2.4 4,709 1.0 55,195,285 0.8 902
Personal and laundry services 812 5 601 2.0 3,992 0.9 29,456,182 0.4 568
Membership associations and organizations 813 2 2 0.0 0 0.0 0 0.0 0
Membership associations and organizations 813 3 2 0.0 0 0.0 0 0.0 0
Membership associations and organizations 813 5 363 1.2 2,226 0.5 30,013,249 0.4 1,037
Private households 814 5 251 0.8 303 0.1 1,829,368 0.0 465
Public administration 92 1 54 0.2 23,157 5.0 457,080,406 6.5 1,518
Public administration 92 2 131 0.4 14,922 3.2 193,776,024 2.8 999
Public administration 92 3 95 0.3 6,264 1.4 110,129,861 1.6 1,352
Executive, legislative and general government 921 1 3 0.0 258 0.1 6,277,469 0.1 1,872
Executive, legislative and general government 921 2 18 0.1 2,559 0.6 34,289,662 0.5 1,031
Executive, legislative and general government 921 3 41 0.1 1,328 0.3 21,137,290 0.3 1,225
Justice, public order, and safety activities 922 1 13 0.0 1,108 0.2 24,716,049 0.4 1,716
Justice, public order, and safety activities 922 2 17 0.1 2,728 0.6 34,911,200 0.5 984
Justice, public order, and safety activities 922 3 33 0.1 3,993 0.9 77,050,539 1.1 1,484
Administration of human resource programs 923 1 7 0.0 305 0.1 6,472,700 0.1 1,631
Administration of human resource programs 923 2 43 0.1 6,527 1.4 80,175,527 1.1 945
Administration of human resource programs 923 3 1 0.0 0 0.0 0 0.0 0
Administration of environmental programs 924 1 4 0.0 74 0.0 1,569,005 0.0 1,624
Administration of environmental programs 924 2 9 0.0 912 0.2 12,231,210 0.2 1,031
Administration of environmental programs 924 3 2 0.0 0 0.0 0 0.0 0
Community and housing program administration 925 1 1 0.0 90 0.0 2,223,481 0.0 1,900
Community and housing program administration 925 2 5 0.0 0 0.0 0 0.0 0
Community and housing program administration 925 3 3 0.0 42 0.0 639,027 0.0 1,161
Administration of economic programs 926 1 21 0.1 3,536 0.8 85,154,768 1.2 1,853
Administration of economic programs 926 2 33 0.1 1,693 0.4 25,212,208 0.4 1,146
Administration of economic programs 926 3 15 0.0 617 0.1 9,103,269 0.1 1,135
Space research and technology 927 2 1 0.0 0 0.0 0 0.0 0
National security and international affairs 928 1 5 0.0 17,786 3.8 330,666,934 4.7 1,430
National security and international affairs 928 2 5 0.0 0 0.0 0 0.0 0

4.1 Census Tract Demographic-Economic Characteristics .. goto topics
Thematic Pattern & Reference Maps for Oklahoma County, OK & 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 40109 .. 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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