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  Situation & Outlook Report
  Orange County, CA  
  .. an information resource developed by ProximityOne .. more about these resources
  .. created 12/08/22

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

Metro Counties and Population Change; 2010-2030
Orange County, CA is part of the Los Angeles-Long Beach-Anaheim, CA metro/CBSA (31080).
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
  Los Angeles County, CA9,821,6479,989,1659,829,5449,699,9448,663,144167,5181.7-1,326,021-13.3
  Orange County, CA3,016,3763,184,1013,167,8093,153,6603,040,468167,7255.6-143,633-4.5

Residential Construction. October 2022 new authorized residential construction was 488 total units with total value of $102,914,907 compared to October 2021 580 total units with total value of $154,367,768. 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 1,050,255 (2010) to 1,117,849 (2020), a change of 67,594 (6.4%). 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 Orange County, CA changed from 3,016,376 (2010) to 3,166,857 (2020), a change of 150,481 (5.0%).

Components of population change during the 2010-2020 period were births 372,922, deaths 195,887, and net migration -24,566. The population natural increase, births less deaths, was 177,035.

The 7/1/20 model-based population estimate was 3,184,101 compared to the 7/1/21 model-based population estimate of 3,167,809. Components of change over the year were births 32,347, deaths 25,108, international migration 1,214, domestic migration -25,019. The net migration was -23,805. The natural increase was 7,239.

Income. The median household income changed from $70,727 in 2010 to $98,786, a change of $28,059 ( 39.7%).

Poverty. The number of people in poverty (all ages) changed from 363,924 in 2010 to 280,128, a change of -83,796 ( -23.0%). The poverty rate (all ages) changed from 12.2 in 2010 to 9.0, a change of -3.2 ( -26.2%).

Anaheim city .. the largest city in Orange County, CA. The 7/1/20 model-based population estimate of Anaheim city was 347,015 compared to the 7/1/21 model-based population estimate of 347,089, a change of 74 or 0.0%. See more about Anaheim 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

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.

Orange 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$70,727118,90416.4723,78083,62015.7533,796363,92412.22,981,549
2011$72,046129,54917.9723,34387,83716.5532,131391,46013.03,018,800
2012$71,866130,23018.0721,55492,74017.5529,226396,95113.03,049,750
2013$73,827134,27818.8713,36697,64318.6524,205416,20413.53,072,686
2014$76,061126,95217.9709,28589,89917.3518,853400,25212.93,105,107
2015$78,002118,38416.8703,34583,33116.2514,181398,42812.73,128,383
2016$81,642101,69314.5700,24970,02713.6513,723348,17311.13,132,411
2017$86,031108,59615.7693,37480,71715.9508,309362,10911.53,148,278
2018$89,37391,49813.3686,86065,18713.0502,035330,55910.53,144,959
2019$95,76184,85412.6674,46761,93912.5494,174297,6589.53,132,602
2020$98,78668,64110.3666,81046,8009.6489,917280,1289.03,124,897

California
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$57,6642,012,72322.09,156,6621,382,85920.86,634,1665,785,03615.836,593,422
2011$57,2752,085,22622.89,128,1021,431,14821.76,598,9036,121,72616.636,941,941
2012$58,3222,164,58923.89,103,7961,499,76822.86,571,8206,323,43317.037,303,312
2013$60,1852,119,05623.59,030,4891,468,72722.56,533,6986,328,06416.837,593,095
2014$61,9272,040,81122.69,017,0541,424,46921.96,511,2356,253,42316.438,060,226
2015$64,4831,901,98521.28,982,6011,315,28820.36,483,9955,896,25515.438,398,077
2016$67,7151,782,76419.98,959,1151,242,78019.26,487,9935,527,62114.438,513,333
2017$71,7851,615,91318.18,922,6961,123,31817.46,466,5845,164,16913.338,793,030
2018$75,2501,539,62817.48,861,4861,086,61816.96,438,0044,972,95512.838,818,530
2019$80,4231,363,91315.68,723,360969,12715.26,378,7354,560,41911.838,733,501
2020$83,0011,260,14514.68,609,649898,42414.26,332,1024,419,16711.538,585,897

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

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

02. How & Why Orange County, CA is Changing .. goto topics
Orange County, CA (06059), part of Los Angeles-Long Beach-Anaheim, CA MSA (31080), changed in population from 3,016,376 (2010) to 3,166,857 (2020), a change of 150,481 (5.0%).
Factors accounting the change over the decade 2010 to 2020 include:
  • Births 2010-2020: 372,922
  • Deaths 2010-2020: 195,887
  • Natural Increase 2010-2020: 177,035
  • Net Migration 2010-2020: -24,566

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

Population 7/1/20 3,184,101
  Births 6/30/19-7/1/20 30,892
  Deaths 6/30/19-7/1/20 23,920
  Natural Increase 6/30/19-7/1/20 6,972
  International Migration 6/30/19-7/1/20 -344
  Domestic Migration 6/30/19-7/1/20 -18,360
  Net Migration 6/30/19-7/1/20 -18,704
 
Population 7/1/21 3,167,809
  Births 6/30/20-7/1/21 32,347
  Deaths 6/30/20-7/1/21 25,108
  Natural Increase 6/30/20-7/1/21 7,239
  International Migration 6/30/20-7/1/21 1,214
  Domestic Migration 6/30/20-7/1/21 -25,019
  Net Migration 6/30/20-7/1/21 -23,805

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
Orange County, CA .. Census 2010, Census 2020 and Change 2010-2020
.. using Census 2020 P.L. 94-171 data (released 8/12/21)
.. use this Interactive Table to view/rank/compare counties 2010-2020.
.. use the VDA Web GIS to access/map these data to the census block level.
Subject Matter Item 2010 2010% 2020 2020% 2010-20 Change2010-20% Change
Total population 3,010,232 100.0 3,186,989 100.0 176,757 5.9
  One race 2,882,433 95.8 2,739,808 86.0 -142,625 -4.9
    White alone 1,830,758 60.8 1,383,257 43.4 -447,501 -24.4
    Black alone 50,744 1.7 53,842 1.7 3,098 6.1
    American India/Alaskan Native alone 18,132 0.6 38,322 1.2 20,190 111.4
    Asian alone 537,804 17.9 706,813 22.2 169,009 31.4
    Native Hawaiian and Other Pacific Islander alone 9,354 0.3 9,035 0.3 -319 -3.4
    Other race 435,641 14.5 548,539 17.2 112,898 25.9
  Two or more races 127,799 4.2 447,181 14.0 319,382 249.9
  White, Non-Hispanic 1,328,499 44.1 1,198,655 37.6 -129,844 -9.8
  Black Non-Hispanic 44,000 1.5 49,304 1.5 5,304 12.1
  Hispanic (of any race) 1,012,973 33.7 1,086,834 34.1 73,861 7.3
Total population, 18 years or older 2,273,573 75.5 2,519,658 79.1 246,085 10.8
  One race 2,201,296 73.1 2,207,615 69.3 6,319 0.3
    White alone 1,430,117 47.5 1,150,168 36.1 -279,949 -19.6
    Black alone 38,756 1.3 43,457 1.4 4,701 12.1
    American India/Alaskan Native alone 13,357 0.4 29,133 0.9 15,776 118.1
    Asian alone 423,562 14.1 574,345 18.0 150,783 35.6
    Native Hawaiian and Other Pacific Islander alone 6,925 0.2 7,038 0.2 113 1.6
    Other race 288,579 9.6 403,474 12.7 114,895 39.8
  Two or more races 72,277 2.4 312,043 9.8 239,766 331.7
  White, Non-Hispanic 1,093,451 36.3 1,021,930 32.1 -71,521 -6.5
  Black Non-Hispanic 34,748 1.2 40,828 1.3 6,080 17.5
  Hispanic (of any race) 669,206 22.2 784,070 24.6 114,864 17.2
Group Quarters population 39,236 1.3 53,431 1.7 14,195 36.2
  Group Quarters, institutionalized population 14,531 0.5 13,831 0.4 -700 -4.8
  Group Quarters, noninstitutionalized population 24,705 0.8 39,600 1.2 14,895 60.3
Housing Units 1,048,907 100.0 1,129,785 100.0 80,878 7.7
  Occupied 992,781 94.6 1,074,105 95.1 81,324 8.2
  Vacant 56,126 5.4 55,680 4.9 -446 -0.8


1.1 Population & Components of Change .. goto topics
Based on Census Bureau model-based population estimates, the Orange County, CA population changed from 3,016,376 in 2010 to 3,166,857 in 2020, a change of 150,481 (5.0%).
Population/Component 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Population 3,016,376 3,050,199 3,078,710 3,105,262 3,126,523 3,148,952 3,164,277 3,174,159 3,175,579 3,170,851 3,166,857
Births 9,305 38,240 37,846 37,619 37,893 38,565 37,300 38,261 36,521 35,514 35,163
Deaths 4,312 17,667 17,808 18,779 18,398 18,977 19,608 19,823 20,433 21,161 23,233
Natural Increase 4,993 20,573 20,038 18,840 19,495 19,588 17,692 18,438 16,088 14,353 11,930
Net Migration 1,473 13,343 9,217 8,235 2,240 3,101 -2,299 -8,515 -14,705 -19,144 -16,039
    International 1,322 7,924 7,106 9,349 10,878 12,679 11,759 9,531 5,959 2,765 2,336
    Domestic 2,336 151 5,419 2,111 -1,114 -8,638 -9,578 -14,058 -18,046 -20,664 -21,909
Group Quarters 40,272 41,213 43,303 43,734 43,606 44,178 43,188 45,038 44,930 44,010 43,650

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

1.2 City/Place Demographic-Economic Characteristics .. goto topics
City/Place 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Los Alamitos city 0643224 11,391 11,492 11,560 11,597 11,631 11,621 11,587 11,526 11,458 11,399  
Rancho Santa Margarita city 0659587 47,855 47,918 48,588 49,038 49,069 49,027 48,828 48,566 48,197 47,896  
Aliso Viejo city 0600947 47,674 47,801 49,038 49,538 49,542 49,499 50,858 50,982 51,206 50,887  
Anaheim city 0602000 336,760 339,831 342,071 343,832 344,604 350,698 348,251 350,013 350,476 350,365  
Brea city 0608100 39,422 39,828 40,139 40,906 41,265 41,693 42,392 42,574 43,484 43,255  
Buena Park city 0608786 80,792 81,553 82,045 82,717 82,621 82,770 82,988 82,619 82,187 81,788  
Costa Mesa city 0616532 110,221 111,151 111,790 112,244 112,485 112,808 112,933 113,665 113,302 113,003  
Cypress city 0617750 47,957 48,399 48,677 48,971 48,936 48,994 48,813 48,835 48,826 49,006  
Dana Point city 0617946 33,336 33,634 33,830 33,962 33,927 33,968 33,931 33,768 33,629 33,577  
Fountain Valley city 0625380 55,470 55,950 56,318 56,601 56,671 56,643 56,423 56,051 55,663 55,357  
Fullerton city 0628000 135,291 138,840 136,386 138,103 138,637 139,982 140,454 139,744 139,273 138,632  
Garden Grove city 0629000 171,181 172,957 173,809 174,422 174,423 174,343 174,571 173,422 172,195 171,644  
Huntington Beach city 0636000 191,296 192,995 194,174 197,107 199,610 200,653 200,284 200,938 200,126 199,223  
Irvine city 0636770 213,450 220,303 229,063 236,057 247,136 255,382 265,345 276,000 281,732 287,401  
Laguna Beach city 0639178 22,765 22,976 23,098 23,213 23,214 23,232 23,165 23,045 22,931 22,827  
Laguna Hills city 0639220 30,713 30,983 31,146 31,260 31,215 31,973 31,849 31,631 31,395 31,207  
Laguna Niguel city 0639248 63,119 63,774 64,134 64,381 65,079 65,396 65,145 66,011 66,079 66,385  
Laguna Woods city 0639259 16,012 16,148 16,233 16,290 16,264 16,251 16,184 16,068 15,949 15,850  
La Habra city 0639290 59,108 59,658 59,970 60,224 60,421 60,473 60,292 60,898 60,778 60,513  
Lake Forest city 0639496 77,552 78,299 78,727 79,112 79,678 81,964 83,019 83,878 85,381 85,531  
La Palma city 0640256 15,545 15,676 15,757 15,846 15,819 15,806 15,739 15,644 15,525 15,428  
Mission Viejo city 0648256 93,225 94,020 94,627 96,003 96,622 96,543 96,149 95,551 94,925 94,381  
Newport Beach city 0651182 85,329 86,073 86,522 86,877 86,688 86,585 86,510 85,740 85,074 84,534  
Orange city 0653980 137,103 138,539 139,372 139,972 139,424 140,503 140,581 140,251 139,449 138,669  
Placentia city 0657526 50,994 51,503 51,838 52,105 52,108 52,202 52,154 51,916 51,538 51,233  
San Clemente city 0665084 63,605 64,255 64,612 64,845 64,947 65,142 65,185 64,973 64,699 64,558  
San Juan Capistrano city 0668028 34,483 34,862 35,096 35,525 35,779 35,935 35,941 35,882 35,902 35,911  
Santa Ana city 0669000 325,327 328,227 330,550 333,716 333,431 333,417 333,765 332,627 331,912 332,318  
Seal Beach city 0670686 24,109 24,506 24,320 24,456 24,537 24,475 24,400 24,209 24,050 23,896  
Tustin city 0680854 75,472 76,227 77,575 78,122 80,138 80,088 80,245 80,121 79,578 79,348  
Villa Park city 0682744 5,830 5,882 5,913 5,940 5,933 5,928 5,907 5,867 5,823 5,790  
Westminster city 0684550 89,772 90,710 91,223 91,624 91,555 91,582 91,510 91,176 90,742 90,643  
Balance of Orange County 0699990 120,532 122,014 123,358 124,376 127,093 129,969 131,166 133,358 136,506 137,454  
Stanton city 0673962 37,900 38,231 38,374 38,550 38,504 38,655 38,627 38,382 38,172 38,139  
Yorba Linda city 0686832 64,390 65,610 66,282 66,803 67,359 67,527 68,033 67,895 67,589 67,644  

Examine city/place population estimates and compare places in Orange County, CA to other areas using this interactive table.
.. use the county code 06059 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 1189 mover partner areas for Orange County, CA. There were a total inbound movers of 144554 and a total outbound movers of 135533, for a net movers of -18541 (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_06059.dbf.
Residence 1 Year Age Geocode Moved to 06059 Moved from 06059 Net Movers
Africa null 750 null null
Asia null 18290 null null
Central America null 3172 null null
Caribbean null 174 null null
Europe null 2699 null null
U.S. Island Areas null 194 null null
Northern America null 594 null null
Oceania and At Sea null 789 null null
South America null 900 null null
Jefferson County, Alabama 01073 21 0 21
Lee County, Alabama 01081 7 6 1
Limestone County, Alabama 01083 0 29 -29
Madison County, Alabama 01089 0 59 -59
Mobile County, Alabama 01097 80 7 73
Shelby County, Alabama 01117 30 13 17
Tuscaloosa County, Alabama 01125 0 40 -40
Anchorage Municipality, Alaska 02020 186 39 147
Fairbanks North Star Borough, Alaska 02090 5 0 5
Kenai Peninsula Borough, Alaska 02122 0 5 -5
Ketchikan Gateway Borough, Alaska 02130 9 0 9
Matanuska-Susitna Borough, Alaska 02170 0 39 -39
Nome Census Area, Alaska 02180 14 0 14
Southeast Fairbanks Census Area, Alaska 02240 0 28 -28
Apache County, Arizona 04001 0 6 -6
Cochise County, Arizona 04003 0 14 -14
Coconino County, Arizona 04005 55 515 -460
Gila County, Arizona 04007 15 0 15
Graham County, Arizona 04009 0 12 -12
La Paz County, Arizona 04012 41 15 26
Maricopa County, Arizona 04013 1663 5210 -3547
Mohave County, Arizona 04015 75 499 -424
Pima County, Arizona 04019 317 860 -543
Pinal County, Arizona 04021 13 295 -282
Yavapai County, Arizona 04025 65 863 -798
Yuma County, Arizona 04027 1 98 -97
Benton County, Arkansas 05007 0 40 -40
Carroll County, Arkansas 05015 14 0 14
Faulkner County, Arkansas 05045 61 0 61
Garland County, Arkansas 05051 13 0 13
Independence County, Arkansas 05063 4 0 4
Ouachita County, Arkansas 05103 0 50 -50
Pulaski County, Arkansas 05119 75 0 75
Sebastian County, Arkansas 05131 0 48 -48
Washington County, Arkansas 05143 0 101 -101
Alameda County, California 06001 953 1969 -1016
Amador County, California 06005 9 0 9
Butte County, California 06007 192 165 27
Calaveras County, California 06009 0 14 -14
Contra Costa County, California 06013 686 744 -58
Del Norte County, California 06015 15 0 15
El Dorado County, California 06017 233 147 86
Fresno County, California 06019 581 361 220
Glenn County, California 06021 13 0 13
Humboldt County, California 06023 123 352 -229
Imperial County, California 06025 317 287 30
Inyo County, California 06027 69 11 58
Kern County, California 06029 911 1187 -276
Kings County, California 06031 18 176 -158
Lake County, California 06033 20 11 9
Lassen County, California 06035 16 0 16
Los Angeles County, California 06037 37436 25557 11879
Madera County, California 06039 83 187 -104
Marin County, California 06041 388 238 150
Mariposa County, California 06043 1 23 -22
Mendocino County, California 06045 21 0 21
Merced County, California 06047 260 66 194
Modoc County, California 06049 0 12 -12
Mono County, California 06051 0 36 -36
Monterey County, California 06053 523 242 281
Napa County, California 06055 667 119 548
Nevada County, California 06057 197 75 122
Placer County, California 06061 443 1168 -725
Plumas County, California 06063 0 17 -17
Riverside County, California 06065 8972 17254 -8282
Sacramento County, California 06067 826 1545 -719
San Benito County, California 06069 92 18 74
San Bernardino County, California 06071 4633 7106 -2473
San Diego County, California 06073 6409 7328 -919
San Francisco County, California 06075 1089 854 235
San Joaquin County, California 06077 279 254 25
San Luis Obispo County, California 06079 428 1339 -911
San Mateo County, California 06081 509 657 -148
Santa Barbara County, California 06083 799 988 -189
Santa Clara County, California 06085 2565 1472 1093
Santa Cruz County, California 06087 335 382 -47
Shasta County, California 06089 53 77 -24
Siskiyou County, California 06093 0 18 -18
Solano County, California 06095 308 269 39
Sonoma County, California 06097 234 136 98
Stanislaus County, California 06099 333 82 251
Sutter County, California 06101 44 0 44
Tehama County, California 06103 94 0 94
Trinity County, California 06105 13 0 13
Tulare County, California 06107 391 104 287
Tuolumne County, California 06109 30 48 -18
Ventura County, California 06111 1016 690 326
Yolo County, California 06113 428 598 -170
Yuba County, California 06115 33 9 24
Adams County, Colorado 08001 44 148 -104
Alamosa County, Colorado 08003 44 0 44
Arapahoe County, Colorado 08005 172 185 -13
Boulder County, Colorado 08013 212 532 -320
Broomfield County, Colorado 08014 12 40 -28
Cheyenne County, Colorado 08017 0 36 -36
Denver County, Colorado 08031 292 297 -5
Douglas County, Colorado 08035 246 373 -127
Eagle County, Colorado 08037 10 17 -7
El Paso County, Colorado 08041 543 480 63
Garfield County, Colorado 08045 28 0 28
Gunnison County, Colorado 08051 0 22 -22
Jefferson County, Colorado 08059 33 248 -215
La Plata County, Colorado 08067 0 10 -10
Larimer County, Colorado 08069 64 329 -265
Las Animas County, Colorado 08071 0 5 -5
Mesa County, Colorado 08077 52 36 16
Morgan County, Colorado 08087 66 0 66
Ouray County, Colorado 08091 34 2 32
Pueblo County, Colorado 08101 0 19 -19
San Miguel County, Colorado 08113 0 13 -13
Summit County, Colorado 08117 0 27 -27
Weld County, Colorado 08123 75 95 -20
Fairfield County, Connecticut 09001 256 70 186
Hartford County, Connecticut 09003 35 17 18
Middlesex County, Connecticut 09007 0 13 -13
New Haven County, Connecticut 09009 56 48 8
New London County, Connecticut 09011 55 22 33
Tolland County, Connecticut 09013 17 8 9
Windham County, Connecticut 09015 1 0 1
Kent County, Delaware 10001 26 0 26
New Castle County, Delaware 10003 45 41 4
Sussex County, Delaware 10005 0 75 -75
District of Columbia, District of Columbia 11001 99 421 -322
Alachua County, Florida 12001 8 43 -35
Bay County, Florida 12005 0 13 -13
Bradford County, Florida 12007 0 42 -42
Brevard County, Florida 12009 22 56 -34
Broward County, Florida 12011 161 182 -21
Charlotte County, Florida 12015 0 16 -16
Collier County, Florida 12021 111 64 47
DeSoto County, Florida 12027 15 3 12
Duval County, Florida 12031 50 133 -83
Escambia County, Florida 12033 53 13 40
Hillsborough County, Florida 12057 11 44 -33
Lake County, Florida 12069 258 0 258
Lee County, Florida 12071 97 0 97
Leon County, Florida 12073 92 0 92
Manatee County, Florida 12081 20 0 20
Martin County, Florida 12085 0 18 -18
Miami-Dade County, Florida 12086 119 210 -91
Okaloosa County, Florida 12091 8 112 -104
Orange County, Florida 12095 192 134 58
Osceola County, Florida 12097 0 60 -60
Palm Beach County, Florida 12099 179 79 100
Pasco County, Florida 12101 8 0 8
Pinellas County, Florida 12103 67 0 67
Polk County, Florida 12105 0 65 -65
St. Johns County, Florida 12109 24 28 -4
Sarasota County, Florida 12115 0 112 -112
Seminole County, Florida 12117 57 180 -123
Volusia County, Florida 12127 0 7 -7
Bibb County, Georgia 13021 32 2 30
Chatham County, Georgia 13051 16 31 -15
Cherokee County, Georgia 13057 64 0 64
Clarke County, Georgia 13059 0 10 -10
Clayton County, Georgia 13063 0 20 -20
Cobb County, Georgia 13067 80 0 80
Columbia County, Georgia 13073 33 0 33
Coweta County, Georgia 13077 15 13 2
DeKalb County, Georgia 13089 79 209 -130
Effingham County, Georgia 13103 25 0 25
Fayette County, Georgia 13113 16 41 -25
Forsyth County, Georgia 13117 48 45 3
Fulton County, Georgia 13121 87 140 -53
Glynn County, Georgia 13127 28 43 -15
Gwinnett County, Georgia 13135 55 151 -96
Harris County, Georgia 13145 0 86 -86
Henry County, Georgia 13151 28 0 28
Houston County, Georgia 13153 0 79 -79
Jackson County, Georgia 13157 0 35 -35
Liberty County, Georgia 13179 0 41 -41
Lowndes County, Georgia 13185 0 14 -14
Muscogee County, Georgia 13215 0 44 -44
Newton County, Georgia 13217 55 11 44
Paulding County, Georgia 13223 0 26 -26
Walton County, Georgia 13297 0 1 -1
Hawaii County, Hawaii 15001 116 94 22
Honolulu County, Hawaii 15003 612 1297 -685
Kauai County, Hawaii 15007 39 0 39
Maui County, Hawaii 15009 57 371 -314
Ada County, Idaho 16001 138 1108 -970
Bannock County, Idaho 16005 0 26 -26
Benewah County, Idaho 16009 0 11 -11
Bingham County, Idaho 16011 0 11 -11
Blaine County, Idaho 16013 39 0 39
Bonner County, Idaho 16017 0 87 -87
Bonneville County, Idaho 16019 0 16 -16
Boundary County, Idaho 16021 0 11 -11
Canyon County, Idaho 16027 73 230 -157
Fremont County, Idaho 16043 0 4 -4
Gem County, Idaho 16045 0 13 -13
Jefferson County, Idaho 16051 0 7 -7
Kootenai County, Idaho 16055 141 575 -434
Latah County, Idaho 16057 0 11 -11
Lemhi County, Idaho 16059 0 18 -18
Lewis County, Idaho 16061 0 3 -3
Madison County, Idaho 16065 62 264 -202
Owyhee County, Idaho 16073 0 3 -3
Teton County, Idaho 16081 0 7 -7
Valley County, Idaho 16085 0 87 -87
Champaign County, Illinois 17019 148 75 73
Christian County, Illinois 17021 0 26 -26
Cook County, Illinois 17031 1390 520 870
DeKalb County, Illinois 17037 0 14 -14
DuPage County, Illinois 17043 275 145 130
Franklin County, Illinois 17055 0 3 -3
Jackson County, Illinois 17077 0 4 -4
Kane County, Illinois 17089 9 42 -33
Kankakee County, Illinois 17091 0 23 -23
Knox County, Illinois 17095 0 8 -8
Lake County, Illinois 17097 210 174 36
McHenry County, Illinois 17111 22 27 -5
McLean County, Illinois 17113 32 0 32
Macoupin County, Illinois 17117 0 29 -29
Madison County, Illinois 17119 0 5 -5
Peoria County, Illinois 17143 0 12 -12
St. Clair County, Illinois 17163 1 0 1
Sangamon County, Illinois 17167 0 5 -5
Tazewell County, Illinois 17179 24 0 24
Washington County, Illinois 17189 0 13 -13
Whiteside County, Illinois 17195 0 13 -13
Will County, Illinois 17197 55 247 -192
Allen County, Indiana 18003 7 200 -193
Boone County, Indiana 18011 0 94 -94
Clinton County, Indiana 18023 11 0 11
Delaware County, Indiana 18035 19 0 19
Elkhart County, Indiana 18039 0 117 -117
Hancock County, Indiana 18059 11 0 11
Harrison County, Indiana 18061 0 43 -43
Hendricks County, Indiana 18063 30 21 9
Huntington County, Indiana 18069 0 4 -4
Jefferson County, Indiana 18077 0 5 -5
Lake County, Indiana 18089 0 32 -32
LaPorte County, Indiana 18091 14 0 14
Marion County, Indiana 18097 254 173 81
Monroe County, Indiana 18105 14 94 -80
Porter County, Indiana 18127 19 0 19
Putnam County, Indiana 18133 14 0 14
St. Joseph County, Indiana 18141 0 49 -49
Tippecanoe County, Indiana 18157 70 9 61
Wayne County, Indiana 18177 0 10 -10
Black Hawk County, Iowa 19013 18 0 18
Buena Vista County, Iowa 19021 11 0 11
Dallas County, Iowa 19049 12 0 12
Iowa County, Iowa 19095 0 37 -37
Jackson County, Iowa 19097 0 10 -10
Jefferson County, Iowa 19101 0 2 -2
Johnson County, Iowa 19103 11 63 -52
Linn County, Iowa 19113 152 0 152
Marshall County, Iowa 19127 68 0 68
Polk County, Iowa 19153 0 66 -66
Pottawattamie County, Iowa 19155 19 17 2
Story County, Iowa 19169 13 0 13
Washington County, Iowa 19183 0 39 -39
Woodbury County, Iowa 19193 41 20 21
Allen County, Kansas 20001 0 3 -3
Bourbon County, Kansas 20011 14 0 14
Brown County, Kansas 20013 0 1 -1
Butler County, Kansas 20015 0 50 -50
Cherokee County, Kansas 20021 0 9 -9
Cheyenne County, Kansas 20023 0 4 -4
Cowley County, Kansas 20035 0 6 -6
Douglas County, Kansas 20045 23 42 -19
Franklin County, Kansas 20059 0 29 -29
Geary County, Kansas 20061 56 40 16
Johnson County, Kansas 20091 75 97 -22
Kiowa County, Kansas 20097 0 1 -1
Leavenworth County, Kansas 20103 0 8 -8
Miami County, Kansas 20121 0 14 -14
Riley County, Kansas 20161 31 0 31
Sedgwick County, Kansas 20173 0 114 -114
Shawnee County, Kansas 20177 12 0 12
Stanton County, Kansas 20187 0 2 -2
Wyandotte County, Kansas 20209 10 13 -3
Boyd County, Kentucky 21019 0 11 -11
Bullitt County, Kentucky 21029 0 6 -6
Carter County, Kentucky 21043 0 3 -3
Daviess County, Kentucky 21059 0 99 -99
Fayette County, Kentucky 21067 23 16 7
Green County, Kentucky 21087 0 7 -7
Hardin County, Kentucky 21093 11 35 -24
Hart County, Kentucky 21099 0 7 -7
Henderson County, Kentucky 21101 0 16 -16
Hopkins County, Kentucky 21107 0 11 -11
Jefferson County, Kentucky 21111 31 120 -89
Kenton County, Kentucky 21117 12 23 -11
Meade County, Kentucky 21163 0 16 -16
Oldham County, Kentucky 21185 63 0 63
Pike County, Kentucky 21195 0 8 -8
Shelby County, Kentucky 21211 42 0 42
Warren County, Kentucky 21227 0 18 -18
Woodford County, Kentucky 21239 0 18 -18
Bossier Parish, Louisiana 22015 34 0 34
Calcasieu Parish, Louisiana 22019 0 109 -109
De Soto Parish, Louisiana 22031 0 2 -2
East Baton Rouge Parish, Louisiana 22033 42 16 26
Jefferson Parish, Louisiana 22051 35 13 22
Lafayette Parish, Louisiana 22055 0 31 -31
Lafourche Parish, Louisiana 22057 0 22 -22
Orleans Parish, Louisiana 22071 209 42 167
St. Tammany Parish, Louisiana 22103 101 41 60
Tangipahoa Parish, Louisiana 22105 21 0 21
Terrebonne Parish, Louisiana 22109 19 11 8
Aroostook County, Maine 23003 0 21 -21
Cumberland County, Maine 23005 12 74 -62
Oxford County, Maine 23017 0 6 -6
Sagadahoc County, Maine 23023 23 0 23
Washington County, Maine 23029 0 3 -3
Anne Arundel County, Maryland 24003 50 0 50
Baltimore County, Maryland 24005 71 42 29
Carroll County, Maryland 24013 40 0 40
Frederick County, Maryland 24021 0 19 -19
Harford County, Maryland 24025 25 0 25
Howard County, Maryland 24027 35 77 -42
Montgomery County, Maryland 24031 246 130 116
Prince George's County, Maryland 24033 30 56 -26
St. Mary's County, Maryland 24037 0 7 -7
Washington County, Maryland 24043 0 6 -6
Wicomico County, Maryland 24045 8 0 8
Baltimore city, Maryland 24510 63 126 -63
Barnstable County, Massachusetts 25001 0 36 -36
Berkshire County, Massachusetts 25003 32 0 32
Bristol County, Massachusetts 25005 15 0 15
Dukes County, Massachusetts 25007 0 8 -8
Essex County, Massachusetts 25009 131 0 131
Hampden County, Massachusetts 25013 39 64 -25
Hampshire County, Massachusetts 25015 18 24 -6
Middlesex County, Massachusetts 25017 277 138 139
Norfolk County, Massachusetts 25021 70 71 -1
Plymouth County, Massachusetts 25023 33 153 -120
Suffolk County, Massachusetts 25025 341 326 15
Worcester County, Massachusetts 25027 9 43 -34
Allegan County, Michigan 26005 15 0 15
Berrien County, Michigan 26021 12 47 -35
Branch County, Michigan 26023 12 0 12
Calhoun County, Michigan 26025 14 0 14
Dickinson County, Michigan 26043 0 3 -3
Emmet County, Michigan 26047 54 0 54
Genesee County, Michigan 26049 0 8 -8
Grand Traverse County, Michigan 26055 14 0 14
Hillsdale County, Michigan 26059 0 11 -11
Ingham County, Michigan 26065 0 59 -59
Iron County, Michigan 26071 0 2 -2
Isabella County, Michigan 26073 41 12 29
Jackson County, Michigan 26075 0 10 -10
Kalamazoo County, Michigan 26077 0 48 -48
Kent County, Michigan 26081 0 10 -10
Livingston County, Michigan 26093 0 15 -15
Mackinac County, Michigan 26097 0 19 -19
Macomb County, Michigan 26099 29 71 -42
Marquette County, Michigan 26103 0 42 -42
Montcalm County, Michigan 26117 0 12 -12
Newaygo County, Michigan 26123 0 8 -8
Oakland County, Michigan 26125 325 139 186
Saginaw County, Michigan 26145 13 0 13
St. Clair County, Michigan 26147 0 23 -23
Van Buren County, Michigan 26159 0 129 -129
Washtenaw County, Michigan 26161 16 164 -148
Wayne County, Michigan 26163 151 186 -35
Blue Earth County, Minnesota 27013 39 0 39
Carlton County, Minnesota 27017 0 10 -10
Crow Wing County, Minnesota 27035 0 1 -1
Dakota County, Minnesota 27037 29 98 -69
Hennepin County, Minnesota 27053 519 426 93
Hubbard County, Minnesota 27057 0 10 -10
Itasca County, Minnesota 27061 0 5 -5
Kandiyohi County, Minnesota 27067 0 31 -31
McLeod County, Minnesota 27085 30 0 30
Morrison County, Minnesota 27097 2 0 2
Mower County, Minnesota 27099 0 12 -12
Nicollet County, Minnesota 27103 0 24 -24
Olmsted County, Minnesota 27109 13 0 13
Otter Tail County, Minnesota 27111 0 2 -2
Pipestone County, Minnesota 27117 6 0 6
Pope County, Minnesota 27121 0 1 -1
Ramsey County, Minnesota 27123 66 56 10
Rice County, Minnesota 27131 0 24 -24
St. Louis County, Minnesota 27137 0 130 -130
Sherburne County, Minnesota 27141 60 0 60
Stearns County, Minnesota 27145 0 8 -8
Washington County, Minnesota 27163 55 35 20
Yellow Medicine County, Minnesota 27173 0 1 -1
Harrison County, Mississippi 28047 0 34 -34
Hinds County, Mississippi 28049 41 21 20
Lafayette County, Mississippi 28071 0 24 -24
Lauderdale County, Mississippi 28075 0 10 -10
Lee County, Mississippi 28081 0 19 -19
Rankin County, Mississippi 28121 0 8 -8
Stone County, Mississippi 28131 0 6 -6
Tallahatchie County, Mississippi 28135 0 56 -56
Barry County, Missouri 29009 0 15 -15
Boone County, Missouri 29019 10 0 10
Buchanan County, Missouri 29021 21 0 21
Chariton County, Missouri 29041 0 21 -21
Christian County, Missouri 29043 0 13 -13
Clay County, Missouri 29047 6 0 6
Cole County, Missouri 29051 0 22 -22
Greene County, Missouri 29077 127 75 52
Jackson County, Missouri 29095 24 244 -220
Jefferson County, Missouri 29099 18 0 18
Nodaway County, Missouri 29147 0 10 -10
Phelps County, Missouri 29161 0 51 -51
Pulaski County, Missouri 29169 0 21 -21
St. Charles County, Missouri 29183 33 19 14
St. Louis County, Missouri 29189 49 49 0
Saline County, Missouri 29195 0 4 -4
Scott County, Missouri 29201 0 14 -14
St. Louis city, Missouri 29510 36 83 -47
Carbon County, Montana 30009 0 7 -7
Flathead County, Montana 30029 47 0 47
Gallatin County, Montana 30031 81 46 35
Granite County, Montana 30039 0 3 -3
Lake County, Montana 30047 0 20 -20
Lewis and Clark County, Montana 30049 14 17 -3
Missoula County, Montana 30063 7 7 0
Ravalli County, Montana 30081 17 29 -12
Yellowstone County, Montana 30111 26 7 19
Cass County, Nebraska 31025 0 18 -18
Cherry County, Nebraska 31031 0 5 -5
Dawes County, Nebraska 31045 0 11 -11
Dodge County, Nebraska 31053 109 0 109
Douglas County, Nebraska 31055 15 161 -146
Johnson County, Nebraska 31097 0 2 -2
Lancaster County, Nebraska 31109 46 86 -40
Lincoln County, Nebraska 31111 9 0 9
Sarpy County, Nebraska 31153 22 32 -10
Clark County, Nevada 32003 1476 2374 -898
Douglas County, Nevada 32005 22 177 -155
Mineral County, Nevada 32021 0 15 -15
Storey County, Nevada 32029 0 9 -9
Washoe County, Nevada 32031 112 287 -175
Carson City, Nevada 32510 16 0 16
Grafton County, New Hampshire 33009 74 41 33
Hillsborough County, New Hampshire 33011 58 0 58
Merrimack County, New Hampshire 33013 51 0 51
Strafford County, New Hampshire 33017 0 20 -20
Atlantic County, New Jersey 34001 0 16 -16
Bergen County, New Jersey 34003 123 86 37
Burlington County, New Jersey 34005 8 0 8
Essex County, New Jersey 34013 29 8 21
Gloucester County, New Jersey 34015 37 0 37
Hudson County, New Jersey 34017 23 151 -128
Mercer County, New Jersey 34021 25 66 -41
Middlesex County, New Jersey 34023 65 33 32
Monmouth County, New Jersey 34025 32 0 32
Morris County, New Jersey 34027 192 57 135
Ocean County, New Jersey 34029 0 5 -5
Somerset County, New Jersey 34035 0 20 -20
Sussex County, New Jersey 34037 31 0 31
Union County, New Jersey 34039 33 14 19
Bernalillo County, New Mexico 35001 157 144 13
Doña Ana County, New Mexico 35013 42 0 42
Los Alamos County, New Mexico 35028 20 0 20
Roosevelt County, New Mexico 35041 19 0 19
Sandoval County, New Mexico 35043 11 0 11
Santa Fe County, New Mexico 35049 10 9 1
Union County, New Mexico 35059 13 0 13
Albany County, New York 36001 87 21 66
Bronx County, New York 36005 73 85 -12
Broome County, New York 36007 154 0 154
Chemung County, New York 36015 23 5 18
Dutchess County, New York 36027 13 41 -28
Erie County, New York 36029 160 9 151
Jefferson County, New York 36045 72 5 67
Kings County, New York 36047 159 184 -25
Monroe County, New York 36055 119 0 119
Nassau County, New York 36059 81 199 -118
New York County, New York 36061 817 611 206
Niagara County, New York 36063 0 13 -13
Onondaga County, New York 36067 76 38 38
Ontario County, New York 36069 0 9 -9
Queens County, New York 36081 298 28 270
Rensselaer County, New York 36083 0 53 -53
Rockland County, New York 36087 0 15 -15
Saratoga County, New York 36091 0 5 -5
Schenectady County, New York 36093 13 0 13
Suffolk County, New York 36103 22 102 -80
Tompkins County, New York 36109 10 81 -71
Ulster County, New York 36111 18 0 18
Westchester County, New York 36119 186 144 42
Brunswick County, North Carolina 37019 0 44 -44
Buncombe County, North Carolina 37021 0 9 -9
Burke County, North Carolina 37023 0 14 -14
Carteret County, North Carolina 37031 0 20 -20
Catawba County, North Carolina 37035 0 26 -26
Chatham County, North Carolina 37037 19 0 19
Cleveland County, North Carolina 37045 0 12 -12
Craven County, North Carolina 37049 141 7 134
Cumberland County, North Carolina 37051 72 55 17
Durham County, North Carolina 37063 28 101 -73
Gaston County, North Carolina 37071 29 1 28
Guilford County, North Carolina 37081 15 148 -133
Harnett County, North Carolina 37085 0 4 -4
Haywood County, North Carolina 37087 28 0 28
Iredell County, North Carolina 37097 0 17 -17
Jackson County, North Carolina 37099 0 7 -7
Lincoln County, North Carolina 37109 26 261 -235
Mecklenburg County, North Carolina 37119 21 180 -159
New Hanover County, North Carolina 37129 0 6 -6
Onslow County, North Carolina 37133 0 177 -177
Pender County, North Carolina 37141 0 2 -2
Pitt County, North Carolina 37147 0 15 -15
Richmond County, North Carolina 37153 0 10 -10
Robeson County, North Carolina 37155 0 17 -17
Rowan County, North Carolina 37159 12 17 -5
Transylvania County, North Carolina 37175 0 18 -18
Union County, North Carolina 37179 274 86 188
Wake County, North Carolina 37183 233 300 -67
Watauga County, North Carolina 37189 0 3 -3
Burleigh County, North Dakota 38015 23 0 23
Cass County, North Dakota 38017 0 116 -116
Grand Forks County, North Dakota 38035 0 39 -39
Clermont County, Ohio 39025 23 29 -6
Cuyahoga County, Ohio 39035 157 98 59
Franklin County, Ohio 39049 148 125 23
Greene County, Ohio 39057 30 11 19
Hamilton County, Ohio 39061 138 117 21
Hancock County, Ohio 39063 0 87 -87
Knox County, Ohio 39083 43 0 43
Lake County, Ohio 39085 0 18 -18
Licking County, Ohio 39089 42 0 42
Lorain County, Ohio 39093 66 0 66
Lucas County, Ohio 39095 37 32 5
Mercer County, Ohio 39107 0 3 -3
Montgomery County, Ohio 39113 19 9 10
Perry County, Ohio 39127 0 17 -17
Portage County, Ohio 39133 24 18 6
Preble County, Ohio 39135 0 7 -7
Richland County, Ohio 39139 0 17 -17
Scioto County, Ohio 39145 49 0 49
Stark County, Ohio 39151 40 19 21
Summit County, Ohio 39153 40 68 -28
Trumbull County, Ohio 39155 9 8 1
Van Wert County, Ohio 39161 5 0 5
Warren County, Ohio 39165 40 62 -22
Washington County, Ohio 39167 0 13 -13
Beckham County, Oklahoma 40009 0 13 -13
Canadian County, Oklahoma 40017 72 0 72
Cherokee County, Oklahoma 40021 0 4 -4
Cleveland County, Oklahoma 40027 159 0 159
Comanche County, Oklahoma 40031 0 55 -55
Creek County, Oklahoma 40037 44 0 44
Custer County, Oklahoma 40039 46 70 -24
Delaware County, Oklahoma 40041 0 2 -2
Garfield County, Oklahoma 40047 0 1 -1
Kay County, Oklahoma 40071 0 3 -3
Marshall County, Oklahoma 40095 0 32 -32
Oklahoma County, Oklahoma 40109 8 89 -81
Ottawa County, Oklahoma 40115 0 5 -5
Payne County, Oklahoma 40119 6 25 -19
Pottawatomie County, Oklahoma 40125 0 9 -9
Tulsa County, Oklahoma 40143 13 214 -201
Washington County, Oklahoma 40147 12 7 5
Benton County, Oregon 41003 19 58 -39
Clackamas County, Oregon 41005 33 29 4
Clatsop County, Oregon 41007 35 25 10
Coos County, Oregon 41011 41 0 41
Crook County, Oregon 41013 21 0 21
Deschutes County, Oregon 41017 59 23 36
Douglas County, Oregon 41019 0 28 -28
Grant County, Oregon 41023 0 5 -5
Jackson County, Oregon 41029 76 176 -100
Jefferson County, Oregon 41031 0 11 -11
Josephine County, Oregon 41033 95 10 85
Klamath County, Oregon 41035 43 49 -6
Lane County, Oregon 41039 53 531 -478
Lincoln County, Oregon 41041 0 91 -91
Linn County, Oregon 41043 7 0 7
Marion County, Oregon 41047 23 108 -85
Morrow County, Oregon 41049 0 12 -12
Multnomah County, Oregon 41051 193 312 -119
Polk County, Oregon 41053 0 56 -56
Sherman County, Oregon 41055 0 2 -2
Washington County, Oregon 41067 195 331 -136
Yamhill County, Oregon 41071 29 3 26
Adams County, Pennsylvania 42001 0 10 -10
Allegheny County, Pennsylvania 42003 190 91 99
Beaver County, Pennsylvania 42007 0 13 -13
Berks County, Pennsylvania 42011 49 18 31
Bucks County, Pennsylvania 42017 111 61 50
Butler County, Pennsylvania 42019 52 0 52
Cambria County, Pennsylvania 42021 0 20 -20
Centre County, Pennsylvania 42027 87 20 67
Chester County, Pennsylvania 42029 94 114 -20
Columbia County, Pennsylvania 42037 0 11 -11
Crawford County, Pennsylvania 42039 0 49 -49
Cumberland County, Pennsylvania 42041 0 71 -71
Dauphin County, Pennsylvania 42043 19 17 2
Delaware County, Pennsylvania 42045 0 49 -49
Erie County, Pennsylvania 42049 0 5 -5
Indiana County, Pennsylvania 42063 0 74 -74
Lancaster County, Pennsylvania 42071 17 17 0
Lehigh County, Pennsylvania 42077 38 34 4
Luzerne County, Pennsylvania 42079 0 61 -61
Lycoming County, Pennsylvania 42081 0 11 -11
Mercer County, Pennsylvania 42085 0 3 -3
Montgomery County, Pennsylvania 42091 265 58 207
Northampton County, Pennsylvania 42095 40 7 33
Philadelphia County, Pennsylvania 42101 513 60 453
Tioga County, Pennsylvania 42117 0 9 -9
Union County, Pennsylvania 42119 0 18 -18
Washington County, Pennsylvania 42125 87 1 86
Bristol County, Rhode Island 44001 0 8 -8
Kent County, Rhode Island 44003 60 0 60
Newport County, Rhode Island 44005 22 0 22
Providence County, Rhode Island 44007 0 59 -59
Washington County, Rhode Island 44009 9 0 9
Aiken County, South Carolina 45003 12 0 12
Anderson County, South Carolina 45007 0 13 -13
Beaufort County, South Carolina 45013 29 74 -45
Berkeley County, South Carolina 45015 74 21 53
Charleston County, South Carolina 45019 9 36 -27
Dorchester County, South Carolina 45035 16 0 16
Georgetown County, South Carolina 45043 31 0 31
Greenville County, South Carolina 45045 26 4 22
Horry County, South Carolina 45051 19 96 -77
Jasper County, South Carolina 45053 0 19 -19
Kershaw County, South Carolina 45055 0 6 -6
Laurens County, South Carolina 45059 0 67 -67
Lexington County, South Carolina 45063 0 27 -27
Pickens County, South Carolina 45077 38 45 -7
Richland County, South Carolina 45079 10 182 -172
Sumter County, South Carolina 45085 0 11 -11
York County, South Carolina 45091 83 0 83
Beadle County, South Dakota 46005 0 56 -56
Brown County, South Dakota 46013 0 32 -32
Clay County, South Dakota 46027 0 17 -17
Custer County, South Dakota 46033 0 15 -15
Lawrence County, South Dakota 46081 0 2 -2
Meade County, South Dakota 46093 0 13 -13
Minnehaha County, South Dakota 46099 0 19 -19
Bedford County, Tennessee 47003 0 33 -33
Campbell County, Tennessee 47013 0 28 -28
Carter County, Tennessee 47019 29 0 29
Cumberland County, Tennessee 47035 0 16 -16
Davidson County, Tennessee 47037 96 268 -172
Franklin County, Tennessee 47051 0 2 -2
Greene County, Tennessee 47059 20 0 20
Hamilton County, Tennessee 47065 34 78 -44
Hardeman County, Tennessee 47069 0 3 -3
Knox County, Tennessee 47093 16 0 16
Lincoln County, Tennessee 47103 0 8 -8
Montgomery County, Tennessee 47125 6 26 -20
Putnam County, Tennessee 47141 12 0 12
Rutherford County, Tennessee 47149 39 77 -38
Shelby County, Tennessee 47157 111 73 38
Sullivan County, Tennessee 47163 30 0 30
Sumner County, Tennessee 47165 52 29 23
Weakley County, Tennessee 47183 0 7 -7
Williamson County, Tennessee 47187 0 174 -174
Bandera County, Texas 48019 0 14 -14
Bastrop County, Texas 48021 0 25 -25
Bell County, Texas 48027 0 60 -60
Bexar County, Texas 48029 157 317 -160
Bowie County, Texas 48037 2 0 2
Brazos County, Texas 48041 51 73 -22
Brewster County, Texas 48043 0 13 -13
Carson County, Texas 48065 0 1 -1
Castro County, Texas 48069 0 46 -46
Collin County, Texas 48085 95 1008 -913
Comal County, Texas 48091 34 43 -9
Coryell County, Texas 48099 0 32 -32
Dallas County, Texas 48113 427 675 -248
Denton County, Texas 48121 150 742 -592
Ector County, Texas 48135 68 0 68
El Paso County, Texas 48141 275 216 59
Erath County, Texas 48143 0 17 -17
Fort Bend County, Texas 48157 264 88 176
Galveston County, Texas 48167 12 0 12
Gillespie County, Texas 48171 0 11 -11
Gray County, Texas 48179 0 126 -126
Grayson County, Texas 48181 12 49 -37
Gregg County, Texas 48183 6 33 -27
Grimes County, Texas 48185 0 2 -2
Guadalupe County, Texas 48187 43 112 -69
Hale County, Texas 48189 0 3 -3
Harris County, Texas 48201 362 380 -18
Hays County, Texas 48209 0 15 -15
Henderson County, Texas 48213 0 4 -4
Hidalgo County, Texas 48215 0 28 -28
Hood County, Texas 48221 10 0 10
Jefferson County, Texas 48245 46 99 -53
Johnson County, Texas 48251 0 9 -9
Kaufman County, Texas 48257 0 129 -129
Kendall County, Texas 48259 0 39 -39
Kerr County, Texas 48265 56 0 56
Lubbock County, Texas 48303 0 185 -185
McLennan County, Texas 48309 0 144 -144
Matagorda County, Texas 48321 0 5 -5
Montgomery County, Texas 48339 0 171 -171
Moore County, Texas 48341 59 0 59
Nueces County, Texas 48355 0 23 -23
Palo Pinto County, Texas 48363 22 0 22
Reeves County, Texas 48389 0 38 -38
San Patricio County, Texas 48409 110 32 78
Shelby County, Texas 48419 8 0 8
Smith County, Texas 48423 10 174 -164
Tarrant County, Texas 48439 435 804 -369
Taylor County, Texas 48441 0 25 -25
Travis County, Texas 48453 288 498 -210
Uvalde County, Texas 48463 0 95 -95
Van Zandt County, Texas 48467 0 18 -18
Waller County, Texas 48473 89 0 89
Washington County, Texas 48477 4 0 4
Webb County, Texas 48479 0 23 -23
Williamson County, Texas 48491 93 420 -327
Wood County, Texas 48499 0 17 -17
Cache County, Utah 49005 0 16 -16
Davis County, Utah 49011 0 35 -35
Iron County, Utah 49021 4 90 -86
Salt Lake County, Utah 49035 337 375 -38
Sevier County, Utah 49041 21 0 21
Utah County, Utah 49049 182 497 -315
Wasatch County, Utah 49051 14 207 -193
Washington County, Utah 49053 8 67 -59
Weber County, Utah 49057 0 76 -76
Addison County, Vermont 50001 5 4 1
Chittenden County, Vermont 50007 23 94 -71
Franklin County, Vermont 50011 0 6 -6
Albemarle County, Virginia 51003 20 42 -22
Arlington County, Virginia 51013 195 54 141
Augusta County, Virginia 51015 0 56 -56
Buchanan County, Virginia 51027 0 25 -25
Caroline County, Virginia 51033 6 0 6
Chesterfield County, Virginia 51041 0 19 -19
Dinwiddie County, Virginia 51053 9 18 -9
Fairfax County, Virginia 51059 266 367 -101
Henrico County, Virginia 51087 0 45 -45
Henry County, Virginia 51089 35 0 35
Loudoun County, Virginia 51107 140 63 77
Middlesex County, Virginia 51119 0 8 -8
Montgomery County, Virginia 51121 0 7 -7
Powhatan County, Virginia 51145 0 37 -37
Prince William County, Virginia 51153 0 79 -79
Spotsylvania County, Virginia 51177 17 0 17
Stafford County, Virginia 51179 0 204 -204
Warren County, Virginia 51187 0 1 -1
York County, Virginia 51199 0 33 -33
Alexandria city, Virginia 51510 78 33 45
Buena Vista city, Virginia 51530 14 24 -10
Chesapeake city, Virginia 51550 35 17 18
Lynchburg city, Virginia 51680 47 0 47
Norfolk city, Virginia 51710 100 111 -11
Portsmouth city, Virginia 51740 7 0 7
Richmond city, Virginia 51760 45 57 -12
Roanoke city, Virginia 51770 0 8 -8
Suffolk city, Virginia 51800 14 141 -127
Virginia Beach city, Virginia 51810 90 90 0
Williamsburg city, Virginia 51830 0 20 -20
Winchester city, Virginia 51840 0 10 -10
Benton County, Washington 53005 0 38 -38
Clallam County, Washington 53009 7 34 -27
Clark County, Washington 53011 45 125 -80
Cowlitz County, Washington 53015 298 16 282
Douglas County, Washington 53017 0 17 -17
Grays Harbor County, Washington 53027 0 32 -32
Island County, Washington 53029 62 72 -10
Jefferson County, Washington 53031 10 15 -5
King County, Washington 53033 1467 1201 266
Kitsap County, Washington 53035 89 11 78
Lewis County, Washington 53041 0 59 -59
Lincoln County, Washington 53043 0 6 -6
Okanogan County, Washington 53047 34 0 34
Pend Oreille County, Washington 53051 0 11 -11
Pierce County, Washington 53053 145 327 -182
San Juan County, Washington 53055 0 5 -5
Skagit County, Washington 53057 0 44 -44
Snohomish County, Washington 53061 147 302 -155
Spokane County, Washington 53063 138 293 -155
Thurston County, Washington 53067 59 80 -21
Walla Walla County, Washington 53071 0 142 -142
Whatcom County, Washington 53073 117 270 -153
Whitman County, Washington 53075 32 84 -52
Yakima County, Washington 53077 32 12 20
Barbour County, West Virginia 54001 0 12 -12
Monongalia County, West Virginia 54061 0 13 -13
Monroe County, West Virginia 54063 0 32 -32
Ohio County, West Virginia 54069 0 15 -15
Taylor County, West Virginia 54091 0 2 -2
Wood County, West Virginia 54107 6 0 6
Brown County, Wisconsin 55009 0 103 -103
Chippewa County, Wisconsin 55017 0 15 -15
Columbia County, Wisconsin 55021 5 0 5
Dane County, Wisconsin 55025 0 161 -161
Dodge County, Wisconsin 55027 11 0 11
Door County, Wisconsin 55029 0 1 -1
Douglas County, Wisconsin 55031 0 16 -16
Juneau County, Wisconsin 55057 0 1 -1
Kenosha County, Wisconsin 55059 11 117 -106
Kewaunee County, Wisconsin 55061 0 6 -6
La Crosse County, Wisconsin 55063 0 18 -18
Milwaukee County, Wisconsin 55079 22 125 -103
Monroe County, Wisconsin 55081 0 1 -1
Oconto County, Wisconsin 55083 56 0 56
Shawano County, Wisconsin 55115 0 4 -4
Waukesha County, Wisconsin 55133 37 24 13
Winnebago County, Wisconsin 55139 0 11 -11
Albany County, Wyoming 56001 0 28 -28
Campbell County, Wyoming 56005 8 0 8
Fremont County, Wyoming 56013 34 0 34
Goshen County, Wyoming 56015 11 0 11
Hot Springs County, Wyoming 56017 0 1 -1
Sheridan County, Wyoming 56033 0 6 -6
Teton County, Wyoming 56039 0 7 -7
Bayamón Municipio, Puerto Rico 72021 30 0 30
San Juan Municipio, Puerto Rico 72127 103 0 103
Fairfield town, Fairfield County, Connecticut 0900126620 115 0 115
Greenwich town, Fairfield County, Connecticut 0900133620 54 11 43
Monroe town, Fairfield County, Connecticut 0900148620 61 0 61
New Canaan town, Fairfield County, Connecticut 0900150580 0 43 -43
Norwalk town, Fairfield County, Connecticut 0900156060 15 0 15
Stamford town, Fairfield County, Connecticut 0900173070 11 16 -5
Enfield town, Hartford County, Connecticut 0900325990 0 8 -8
Hartford town, Hartford County, Connecticut 0900337070 0 9 -9
Manchester town, Hartford County, Connecticut 0900344700 15 0 15
Windsor town, Hartford County, Connecticut 0900387000 20 0 20
Middletown town, Middlesex County, Connecticut 0900747360 0 13 -13
Milford town, New Haven County, Connecticut 0900947535 0 22 -22
New Haven town, New Haven County, Connecticut 0900952070 9 26 -17
Southbury town, New Haven County, Connecticut 0900969640 21 0 21
Woodbridge town, New Haven County, Connecticut 0900987700 26 0 26
Groton town, New London County, Connecticut 0901134250 55 10 45
New London town, New London County, Connecticut 0901152350 0 12 -12
Mansfield town, Tolland County, Connecticut 0901344910 17 0 17
Vernon town, Tolland County, Connecticut 0901378250 0 8 -8
Plainfield town, Windham County, Connecticut 0901559980 1 0 1
Chapman town, Aroostook County, Maine 2300312000 0 11 -11
Fort Kent town, Aroostook County, Maine 2300325755 0 7 -7
Houlton town, Aroostook County, Maine 2300333980 0 3 -3
Portland city, Cumberland County, Maine 2300560545 0 26 -26
Scarborough town, Cumberland County, Maine 2300566145 0 48 -48
Windham town, Cumberland County, Maine 2300586025 12 0 12
Waterford town, Oxford County, Maine 2301780635 0 6 -6
Bath city, Sagadahoc County, Maine 2302303355 23 0 23
Lubec town, Washington County, Maine 2302941610 0 3 -3
Bourne town, Barnstable County, Massachusetts 2500107175 0 36 -36
Pittsfield city, Berkshire County, Massachusetts 2500353960 32 0 32
Fall River city, Bristol County, Massachusetts 2500523000 15 0 15
Chilmark town, Dukes County, Massachusetts 2500713800 0 8 -8
Boxford town, Essex County, Massachusetts 2500907420 20 0 20
Haverhill city, Essex County, Massachusetts 2500929405 18 0 18
Wenham town, Essex County, Massachusetts 2500974595 93 0 93
Chicopee city, Hampden County, Massachusetts 2501313660 18 40 -22
East Longmeadow town, Hampden County, Massachusetts 2501319645 21 0 21
Springfield city, Hampden County, Massachusetts 2501367000 0 9 -9
West Springfield Town city, Hampden County, Massachusetts 2501377890 0 15 -15
Amherst town, Hampshire County, Massachusetts 2501501325 0 24 -24
Northampton city, Hampshire County, Massachusetts 2501546330 18 0 18
Cambridge city, Middlesex County, Massachusetts 2501711000 110 43 67
Dracut town, Middlesex County, Massachusetts 2501717475 0 40 -40
Lowell city, Middlesex County, Massachusetts 2501737000 0 6 -6
Medford city, Middlesex County, Massachusetts 2501739835 40 0 40
Natick town, Middlesex County, Massachusetts 2501743895 45 35 10
Newton city, Middlesex County, Massachusetts 2501745560 11 12 -1
Reading town, Middlesex County, Massachusetts 2501756130 17 0 17
Sherborn town, Middlesex County, Massachusetts 2501761380 16 0 16
Somerville city, Middlesex County, Massachusetts 2501762535 0 2 -2
Tyngsborough town, Middlesex County, Massachusetts 2501771025 32 0 32
Watertown Town city, Middlesex County, Massachusetts 2501773440 6 0 6
Dedham town, Norfolk County, Massachusetts 2502116495 0 18 -18
Foxborough town, Norfolk County, Massachusetts 2502124820 16 0 16
Franklin Town city, Norfolk County, Massachusetts 2502125172 38 9 29
Milton town, Norfolk County, Massachusetts 2502141690 0 24 -24
Quincy city, Norfolk County, Massachusetts 2502155745 16 2 14
Wellesley town, Norfolk County, Massachusetts 2502174175 0 18 -18
Hanover town, Plymouth County, Massachusetts 2502328285 0 144 -144
Norwell town, Plymouth County, Massachusetts 2502350145 33 0 33
West Bridgewater town, Plymouth County, Massachusetts 2502375260 0 9 -9
Boston city, Suffolk County, Massachusetts 2502507000 259 326 -67
Revere city, Suffolk County, Massachusetts 2502556585 23 0 23
Winthrop Town city, Suffolk County, Massachusetts 2502581005 59 0 59
Athol town, Worcester County, Massachusetts 2502702480 0 7 -7
Leominster city, Worcester County, Massachusetts 2502735075 9 0 9
Worcester city, Worcester County, Massachusetts 2502782000 0 36 -36
Plainwell city, Allegan County, Michigan 2600564740 15 0 15
Oronoko charter township, Berrien County, Michigan 2602161180 12 4 8
St. Joseph city, Berrien County, Michigan 2602170960 0 43 -43
Butler township, Branch County, Michigan 2602312140 12 0 12
Battle Creek city, Calhoun County, Michigan 2602505920 14 0 14
Felch township, Dickinson County, Michigan 2604327660 0 3 -3
Bear Creek township, Emmet County, Michigan 2604706380 54 0 54
Flint city, Genesee County, Michigan 2604929000 0 8 -8
Green Lake township, Grand Traverse County, Michigan 2605534960 14 0 14
Hillsdale city, Hillsdale County, Michigan 2605938460 0 11 -11
Lansing city, Ingham County, Michigan 2606546000 0 59 -59
Mastodon township, Iron County, Michigan 2607152300 0 2 -2
Mount Pleasant city, Isabella County, Michigan 2607356020 41 5 36
Sherman township, Isabella County, Michigan 2607373200 0 7 -7
Jackson city, Jackson County, Michigan 2607541420 0 4 -4
Spring Arbor township, Jackson County, Michigan 2607575640 0 6 -6
Kalamazoo city, Kalamazoo County, Michigan 2607742160 0 20 -20
Schoolcraft township, Kalamazoo County, Michigan 2607771880 0 28 -28
Grand Rapids city, Kent County, Michigan 2608134000 0 10 -10
Putnam township, Livingston County, Michigan 2609366540 0 15 -15
Moran township, Mackinac County, Michigan 2609755480 0 19 -19
Armada township, Macomb County, Michigan 2609903540 0 4 -4
Chesterfield township, Macomb County, Michigan 2609915340 29 0 29
Clinton charter township, Macomb County, Michigan 2609916520 0 18 -18
Eastpointe city, Macomb County, Michigan 2609924290 0 17 -17
Fraser city, Macomb County, Michigan 2609930420 0 15 -15
Sterling Heights city, Macomb County, Michigan 2609976460 0 17 -17
Marquette city, Marquette County, Michigan 2610351900 0 40 -40
Skandia township, Marquette County, Michigan 2610374110 0 2 -2
Greenville city, Montcalm County, Michigan 2611735100 0 12 -12
Garfield township, Newaygo County, Michigan 2612331640 0 4 -4
Sherman township, Newaygo County, Michigan 2612373260 0 4 -4
Auburn Hills city, Oakland County, Michigan 2612504105 40 0 40
Birmingham city, Oakland County, Michigan 2612508640 38 0 38
Commerce charter township, Oakland County, Michigan 2612517640 39 0 39
Ferndale city, Oakland County, Michigan 2612527880 14 0 14
Huntington Woods city, Oakland County, Michigan 2612540000 25 0 25
Independence charter township, Oakland County, Michigan 2612540400 130 9 121
Lathrup Village city, Oakland County, Michigan 2612546320 0 22 -22
Madison Heights city, Oakland County, Michigan 2612550560 0 44 -44
Orion charter township, Oakland County, Michigan 2612561100 0 13 -13
Troy city, Oakland County, Michigan 2612580700 0 22 -22
West Bloomfield charter township, Oakland County, Michigan 2612585480 0 29 -29
White Lake charter township, Oakland County, Michigan 2612586860 15 0 15
Wixom city, Oakland County, Michigan 2612588140 24 0 24
Thomas township, Saginaw County, Michigan 2614579520 13 0 13
Clay township, St. Clair County, Michigan 2614716180 0 23 -23
Almena township, Van Buren County, Michigan 2615901600 0 119 -119
Pine Grove township, Van Buren County, Michigan 2615964280 0 10 -10
Ann Arbor city, Washtenaw County, Michigan 2616103000 16 149 -133
Ypsilanti city, Washtenaw County, Michigan 2616189140 0 15 -15
Detroit city, Wayne County, Michigan 2616322000 115 0 115
Huron charter township, Wayne County, Michigan 2616340040 0 138 -138
Livonia city, Wayne County, Michigan 2616349000 0 15 -15
Northville township, Wayne County, Michigan 2616359000 6 0 6
Plymouth city, Wayne County, Michigan 2616365060 30 0 30
Romulus city, Wayne County, Michigan 2616369420 0 8 -8
Taylor city, Wayne County, Michigan 2616379000 0 25 -25
Mankato city, Blue Earth County, Minnesota 2701339878 39 0 39
Thomson township, Carlton County, Minnesota 2701764768 0 10 -10
Fifty Lakes city, Crow Wing County, Minnesota 2703521032 0 1 -1
Apple Valley city, Dakota County, Minnesota 2703701900 0 13 -13
Burnsville city, Dakota County, Minnesota 2703708794 8 55 -47
Eagan city, Dakota County, Minnesota 2703717288 11 7 4
Hastings city, Dakota County, Minnesota 2703727530 0 1 -1
Lakeville city, Dakota County, Minnesota 2703735180 10 22 -12
Brooklyn Center city, Hennepin County, Minnesota 2705307948 0 2 -2
Eden Prairie city, Hennepin County, Minnesota 2705318116 46 89 -43
Hopkins city, Hennepin County, Minnesota 2705330140 44 0 44
Maple Grove city, Hennepin County, Minnesota 2705340166 202 0 202
Minneapolis city, Hennepin County, Minnesota 2705343000 227 285 -58
Mound city, Hennepin County, Minnesota 2705344476 0 44 -44
Woodland city, Hennepin County, Minnesota 2705371500 0 6 -6
Nevis township, Hubbard County, Minnesota 2705745358 0 10 -10
Harris township, Itasca County, Minnesota 2706127296 0 5 -5
Willmar city, Kandiyohi County, Minnesota 2706770420 0 31 -31
Winsted city, McLeod County, Minnesota 2708571086 30 0 30
Little Falls city, Morrison County, Minnesota 2709737556 2 0 2
Austin city, Mower County, Minnesota 2709902908 0 12 -12
St. Peter city, Nicollet County, Minnesota 2710358036 0 24 -24
Oronoco township, Olmsted County, Minnesota 2710948616 13 0 13
Leaf Mountain township, Otter Tail County, Minnesota 2711136008 0 2 -2
Holland city, Pipestone County, Minnesota 2711729618 6 0 6
New Prairie township, Pope County, Minnesota 2712145844 0 1 -1
Falcon Heights city, Ramsey County, Minnesota 2712320420 0 7 -7
Roseville city, Ramsey County, Minnesota 2712355852 0 10 -10
St. Anthony city, Ramsey County, Minnesota 2712356680 0 7 -7
St. Paul city, Ramsey County, Minnesota 2712358000 66 32 34
Northfield city, Rice County, Minnesota 2713146924 0 24 -24
Duluth city, St. Louis County, Minnesota 2713717000 0 130 -130
St. Cloud city, Sherburne County, Minnesota 2714156896 60 0 60
Krain township, Stearns County, Minnesota 2714533722 0 8 -8
Grant city, Washington County, Minnesota 2716325334 24 0 24
Lake Elmo city, Washington County, Minnesota 2716334244 0 35 -35
Woodbury city, Washington County, Minnesota 2716371428 31 0 31
Hanley Falls city, Yellow Medicine County, Minnesota 2717326972 0 1 -1
Hanover town, Grafton County, New Hampshire 3300933860 0 21 -21
Lebanon city, Grafton County, New Hampshire 3300941300 74 14 60
Plymouth town, Grafton County, New Hampshire 3300962660 0 6 -6
Bedford town, Hillsborough County, New Hampshire 3301104500 18 0 18
Litchfield town, Hillsborough County, New Hampshire 3301142260 26 0 26
Manchester city, Hillsborough County, New Hampshire 3301145140 14 0 14
Concord city, Merrimack County, New Hampshire 3301314200 42 0 42
Hopkinton town, Merrimack County, New Hampshire 3301337540 9 0 9
Durham town, Strafford County, New Hampshire 3301719700 0 20 -20
Margate City city, Atlantic County, New Jersey 3400143890 0 16 -16
Edgewater borough, Bergen County, New Jersey 3400320020 16 14 2
Fort Lee borough, Bergen County, New Jersey 3400324420 17 0 17
Hackensack city, Bergen County, New Jersey 3400328680 0 47 -47
Lodi borough, Bergen County, New Jersey 3400341100 44 0 44
Mahwah township, Bergen County, New Jersey 3400342750 10 0 10
Park Ridge borough, Bergen County, New Jersey 3400356130 6 0 6
Ramsey borough, Bergen County, New Jersey 3400361680 30 0 30
Rutherford borough, Bergen County, New Jersey 3400365280 0 25 -25
New Hanover township, Burlington County, New Jersey 3400551510 8 0 8
Montclair township, Essex County, New Jersey 3401347500 29 0 29
Newark city, Essex County, New Jersey 3401351000 0 8 -8
Mantua township, Gloucester County, New Jersey 3401543440 21 0 21
Pitman borough, Gloucester County, New Jersey 3401559070 16 0 16
Hoboken city, Hudson County, New Jersey 3401732250 0 98 -98
Jersey City city, Hudson County, New Jersey 3401736000 7 53 -46
West New York town, Hudson County, New Jersey 3401779610 16 0 16
Lawrence township, Mercer County, New Jersey 3402139510 11 20 -9
Princeton, Mercer County, New Jersey 3402160900 0 46 -46
West Windsor township, Mercer County, New Jersey 3402180240 14 0 14
Edison township, Middlesex County, New Jersey 3402320230 33 0 33
North Brunswick township, Middlesex County, New Jersey 3402352560 24 0 24
Piscataway township, Middlesex County, New Jersey 3402359010 8 0 8
Sayreville borough, Middlesex County, New Jersey 3402365790 0 33 -33
Asbury Park city, Monmouth County, New Jersey 3402501960 15 0 15
Belmar borough, Monmouth County, New Jersey 3402504930 17 0 17
Boonton township, Morris County, New Jersey 3402706640 150 0 150
Chester township, Morris County, New Jersey 3402712610 0 19 -19
Florham Park borough, Morris County, New Jersey 3402723910 0 7 -7
Hanover township, Morris County, New Jersey 3402729550 0 7 -7
Madison borough, Morris County, New Jersey 3402742510 0 6 -6
Parsippany-Troy Hills township, Morris County, New Jersey 3402756460 8 18 -10
Randolph township, Morris County, New Jersey 3402761890 34 0 34
Lakewood township, Ocean County, New Jersey 3402938550 0 1 -1
Pine Beach borough, Ocean County, New Jersey 3402958590 0 4 -4
Somerville borough, Somerset County, New Jersey 3403568460 0 20 -20
Hardyston township, Sussex County, New Jersey 3403729850 31 0 31
Cranford township, Union County, New Jersey 3403915640 0 14 -14
Hillside township, Union County, New Jersey 3403931980 25 0 25
Roselle Park borough, Union County, New Jersey 3403964650 8 0 8
Albany city, Albany County, New York 3600101000 0 21 -21
Bethlehem town, Albany County, New York 3600106354 54 0 54
Colonie town, Albany County, New York 3600117343 33 0 33
Bronx borough, Bronx County, New York 3600508510 73 85 -12
Binghamton city, Broome County, New York 3600706607 65 0 65
Kirkwood town, Broome County, New York 3600739837 62 0 62
Windsor town, Broome County, New York 3600782535 27 0 27
Elmira city, Chemung County, New York 3601524229 0 5 -5
Horseheads town, Chemung County, New York 3601535705 23 0 23
Beekman town, Dutchess County, New York 3602705452 0 10 -10
Hyde Park town, Dutchess County, New York 3602737209 0 24 -24
Pawling town, Dutchess County, New York 3602756825 13 0 13
Poughkeepsie town, Dutchess County, New York 3602759652 0 6 -6
Red Hook town, Dutchess County, New York 3602760905 0 1 -1
Amherst town, Erie County, New York 3602902000 120 0 120
Buffalo city, Erie County, New York 3602911000 40 0 40
Orchard Park town, Erie County, New York 3602955277 0 9 -9
Le Ray town, Jefferson County, New York 3604542015 72 0 72
Philadelphia town, Jefferson County, New York 3604557562 0 5 -5
Brooklyn borough, Kings County, New York 3604710022 159 184 -25
Brighton town, Monroe County, New York 3605508246 80 0 80
Irondequoit town, Monroe County, New York 3605537726 28 0 28
Perinton town, Monroe County, New York 3605557221 11 0 11
Hempstead town, Nassau County, New York 3605934000 15 180 -165
Long Beach city, Nassau County, New York 3605943335 0 4 -4
North Hempstead town, Nassau County, New York 3605953000 22 15 7
Oyster Bay town, Nassau County, New York 3605956000 44 0 44
Manhattan borough, New York County, New York 3606144919 817 611 206
Lewiston town, Niagara County, New York 3606342158 0 13 -13
Clay town, Onondaga County, New York 3606716067 21 0 21
De Witt town, Onondaga County, New York 3606720478 0 6 -6
Syracuse city, Onondaga County, New York 3606773000 55 32 23
Geneva city, Ontario County, New York 3606928640 0 9 -9
Queens borough, Queens County, New York 3608160323 298 28 270
Troy city, Rensselaer County, New York 3608375484 0 53 -53
Orangetown town, Rockland County, New York 3608755211 0 15 -15
Clifton Park town, Saratoga County, New York 3609116353 0 5 -5
Schenectady city, Schenectady County, New York 3609365508 13 0 13
Brookhaven town, Suffolk County, New York 3610310000 0 12 -12
Huntington town, Suffolk County, New York 3610337000 12 90 -78
Islip town, Suffolk County, New York 3610338000 10 0 10
Ithaca city, Tompkins County, New York 3610938077 10 24 -14
Ithaca town, Tompkins County, New York 3610938088 0 11 -11
Lansing town, Tompkins County, New York 3610941234 0 46 -46
Olive town, Ulster County, New York 3611154749 18 0 18
Greenburgh town, Westchester County, New York 3611930367 0 41 -41
Harrison town, Westchester County, New York 3611932413 0 13 -13
Mount Pleasant town, Westchester County, New York 3611949011 8 0 8
New Rochelle city, Westchester County, New York 3611950617 44 7 37
Rye town, Westchester County, New York 3611964320 39 0 39
White Plains city, Westchester County, New York 3611981677 0 81 -81
Yonkers city, Westchester County, New York 3611984000 95 2 93
Cumberland township, Adams County, Pennsylvania 4200117640 0 10 -10
Bethel Park municipality, Allegheny County, Pennsylvania 4200306064 24 0 24
Braddock Hills borough, Allegheny County, Pennsylvania 4200308008 0 5 -5
Lincoln borough, Allegheny County, Pennsylvania 4200343408 0 3 -3
O'Hara township, Allegheny County, Pennsylvania 4200356384 0 9 -9
Pittsburgh city, Allegheny County, Pennsylvania 4200361000 166 20 146
Ross township, Allegheny County, Pennsylvania 4200366264 0 20 -20
Scott township, Allegheny County, Pennsylvania 4200368388 0 34 -34
Rochester township, Beaver County, Pennsylvania 4200765400 0 13 -13
Reading city, Berks County, Pennsylvania 4201163624 49 10 39
Spring township, Berks County, Pennsylvania 4201172824 0 8 -8
Buckingham township, Bucks County, Pennsylvania 4201709816 0 6 -6
Hilltown township, Bucks County, Pennsylvania 4201734952 74 0 74
Langhorne Manor borough, Bucks County, Pennsylvania 4201741416 0 14 -14
Middletown township, Bucks County, Pennsylvania 4201749120 7 0 7
Penndel borough, Bucks County, Pennsylvania 4201758936 0 7 -7
Perkasie borough, Bucks County, Pennsylvania 4201759384 0 16 -16
Richland township, Bucks County, Pennsylvania 4201764536 30 0 30
Upper Southampton township, Bucks County, Pennsylvania 4201779296 0 18 -18
Butler township, Butler County, Pennsylvania 4201910472 11 0 11
Center township, Butler County, Pennsylvania 4201912024 41 0 41
Richland township, Cambria County, Pennsylvania 4202164544 0 20 -20
Ferguson township, Centre County, Pennsylvania 4202725624 7 0 7
Patton township, Centre County, Pennsylvania 4202758440 60 0 60
Port Matilda borough, Centre County, Pennsylvania 4202762280 0 2 -2
State College borough, Centre County, Pennsylvania 4202773808 20 18 2
Easttown township, Chester County, Pennsylvania 4202921928 29 0 29
West Bradford township, Chester County, Pennsylvania 4202982544 65 0 65
West Goshen township, Chester County, Pennsylvania 4202983080 0 17 -17
West Nottingham township, Chester County, Pennsylvania 4202983712 0 97 -97
Main township, Columbia County, Pennsylvania 4203746688 0 3 -3
Scott township, Columbia County, Pennsylvania 4203768392 0 8 -8
Meadville city, Crawford County, Pennsylvania 4203948360 0 47 -47
Steuben township, Crawford County, Pennsylvania 4203974016 0 2 -2
Monroe township, Cumberland County, Pennsylvania 4204150472 0 26 -26
North Middleton township, Cumberland County, Pennsylvania 4204155216 0 16 -16
Silver Spring township, Cumberland County, Pennsylvania 4204170792 0 29 -29
Harrisburg city, Dauphin County, Pennsylvania 4204332800 19 0 19
Susquehanna township, Dauphin County, Pennsylvania 4204375528 0 17 -17
Middletown township, Delaware County, Pennsylvania 4204549136 0 10 -10
Radnor township, Delaware County, Pennsylvania 4204563264 0 17 -17
Upper Providence township, Delaware County, Pennsylvania 4204579248 0 22 -22
Harborcreek township, Erie County, Pennsylvania 4204932520 0 5 -5
White township, Indiana County, Pennsylvania 4206384472 0 74 -74
Elizabethtown borough, Lancaster County, Pennsylvania 4207123016 17 0 17
Ephrata township, Lancaster County, Pennsylvania 4207123840 0 17 -17
Allentown city, Lehigh County, Pennsylvania 4207702000 8 0 8
South Whitehall township, Lehigh County, Pennsylvania 4207772632 12 0 12
Upper Saucon township, Lehigh County, Pennsylvania 4207779288 0 34 -34
Whitehall township, Lehigh County, Pennsylvania 4207784528 18 0 18
Rice township, Luzerne County, Pennsylvania 4207964424 0 61 -61
Hughesville borough, Lycoming County, Pennsylvania 4208136160 0 11 -11
East Lackawannock township, Mercer County, Pennsylvania 4208521336 0 3 -3
Abington township, Montgomery County, Pennsylvania 4209100156 25 0 25
Cheltenham township, Montgomery County, Pennsylvania 4209112968 9 23 -14
Collegeville borough, Montgomery County, Pennsylvania 4209115192 0 7 -7
Hatfield township, Montgomery County, Pennsylvania 4209133120 109 0 109
Lower Gwynedd township, Montgomery County, Pennsylvania 4209144920 10 0 10
Lower Merion township, Montgomery County, Pennsylvania 4209144976 0 18 -18
Lower Pottsgrove township, Montgomery County, Pennsylvania 4209145072 2 0 2
Lower Providence township, Montgomery County, Pennsylvania 4209145080 0 8 -8
Salford township, Montgomery County, Pennsylvania 4209167528 9 0 9
Upper Dublin township, Montgomery County, Pennsylvania 4209179008 10 0 10
West Conshohocken borough, Montgomery County, Pennsylvania 4209182736 0 2 -2
Whitemarsh township, Montgomery County, Pennsylvania 4209184624 39 0 39
Whitpain township, Montgomery County, Pennsylvania 4209184888 52 0 52
Bethlehem city, Northampton County, Pennsylvania 4209506088 0 7 -7
Bethlehem township, Northampton County, Pennsylvania 4209506096 40 0 40
Philadelphia city, Philadelphia County, Pennsylvania 4210160000 513 60 453
Jackson township, Tioga County, Pennsylvania 4211737472 0 9 -9
Lewisburg borough, Union County, Pennsylvania 4211942976 0 18 -18
California borough, Washington County, Pennsylvania 4212510768 87 0 87
Coal Center borough, Washington County, Pennsylvania 4212514568 0 1 -1
Bristol town, Bristol County, Rhode Island 4400109280 0 8 -8
Coventry town, Kent County, Rhode Island 4400318640 29 0 29
Warwick city, Kent County, Rhode Island 4400374300 31 0 31
Newport city, Newport County, Rhode Island 4400549960 22 0 22
Central Falls city, Providence County, Rhode Island 4400714140 0 16 -16
Providence city, Providence County, Rhode Island 4400759000 0 33 -33
Smithfield town, Providence County, Rhode Island 4400766200 0 10 -10
North Kingstown town, Washington County, Rhode Island 4400951580 9 0 9
Middlebury town, Addison County, Vermont 5000144350 5 4 1
Colchester town, Chittenden County, Vermont 5000714875 23 44 -21
Essex town, Chittenden County, Vermont 5000724175 0 50 -50
Sheldon town, Franklin County, Vermont 5001164600 0 6 -6
Bellevue village, Brown County, Wisconsin 5500906350 0 46 -46
De Pere city, Brown County, Wisconsin 5500919775 0 57 -57
Chippewa Falls city, Chippewa County, Wisconsin 5501714575 0 15 -15
Lodi town, Columbia County, Wisconsin 5502145375 5 0 5
Black Earth town, Dane County, Wisconsin 5502507825 0 6 -6
Fitchburg city, Dane County, Wisconsin 5502525950 0 18 -18
Madison city, Dane County, Wisconsin 5502548000 0 137 -137
Herman town, Dodge County, Wisconsin 5502734000 11 0 11
Egg Harbor town, Door County, Wisconsin 5502922875 0 1 -1
Oakland town, Douglas County, Wisconsin 5503159100 0 16 -16
Orange town, Juneau County, Wisconsin 5505760150 0 1 -1
Kenosha city, Kenosha County, Wisconsin 5505939225 11 117 -106
Montpelier town, Kewaunee County, Wisconsin 5506154050 0 6 -6
Shelby town, La Crosse County, Wisconsin 5506373125 0 18 -18
Cudahy city, Milwaukee County, Wisconsin 5507917975 0 28 -28
Milwaukee city, Milwaukee County, Wisconsin 5507953000 22 39 -17
Wauwatosa city, Milwaukee County, Wisconsin 5507984675 0 58 -58
Lafayette town, Monroe County, Wisconsin 5508140925 0 1 -1
Oconto city, Oconto County, Wisconsin 5508359350 56 0 56
Bartelme town, Shawano County, Wisconsin 5511505000 0 4 -4
Oconomowoc city, Waukesha County, Wisconsin 5513359250 0 24 -24
Pewaukee city, Waukesha County, Wisconsin 5513362240 37 0 37
Oshkosh city, Winnebago County, Wisconsin 5513960500 0 11 -11

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 2019 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 3,175,692 100.0 328,239,523 100.0
..Male D002 1,568,073 49.4 161,588,973 49.2
..Female D003 1,607,619 50.6 166,650,550 50.8
..Sex ratio (males per 100 females) D004 97.5   97.0  
     
..Under 5 years D005 185,330 5.8 19,404,835 5.9
..5 to 9 years D006 182,730 5.8 19,690,437 6.0
..10 to 14 years D007 200,323 6.3 21,423,479 6.5
..15 to 19 years D008 202,060 6.4 21,353,524 6.5
..20 to 24 years D009 204,771 6.4 21,468,680 6.5
..25 to 34 years D010 457,902 14.4 45,578,475 13.9
..35 to 44 years D011 410,729 12.9 41,914,845 12.8
..45 to 54 years D012 437,549 13.8 40,863,107 12.4
..55 to 59 years D013 212,301 6.7 21,484,060 6.5
..60 to 64 years D014 196,701 6.2 20,984,053 6.4
..65 to 74 years D015 274,232 8.6 31,575,561 9.6
..75 to 84 years D016 148,490 4.7 16,140,238 4.9
..85 years and over D017 62,574 2.0 6,358,229 1.9
     
..Median age (years) D018 38.6   38.5  
     
..Under 18 years D019 689,676 21.7 72,967,785 22.2
..16 years and over D020 2,568,184 80.9 263,534,161 80.3
..18 years and over D021 2,486,016 78.3 255,271,738 77.8
..21 years and over D022 2,366,109 74.5 241,886,206 73.7
..62 years and over D023 597,418 18.8 66,395,660 20.2
..65 years and over D024 485,296 15.3 54,074,028 16.5
     
..18 years and over D025 2,486,016 100.0 255,271,738 100.0
...Male D026 1,214,304 48.8 124,267,346 48.7
...Female D027 1,271,712 51.2 131,004,392 51.3
...Sex ratio (males per 100 females) D028 95.5   94.9  
     
..65 years and over D029 485,296 100.0 54,074,028 100.0
...Male D030 215,928 44.5 24,044,281 44.5
...Female D031 269,368 55.5 30,029,747 55.5
...Sex ratio (males per 100 females) D032 80.2   80.1  
     
RACE      
.Total population D033 3,175,692 100.0 328,239,523 100.0
..One race D034 3,043,326 95.8 316,930,628 96.6
..Two or more races D035 132,366 4.2 11,308,895 3.4
     
..One race D036 3,043,326 95.8 316,930,628 96.6
...White D037 1,881,453 59.2 236,475,401 72.0
...Black or African American D038 55,517 1.7 41,989,671 12.8
...American Indian and Alaska Native D039 12,961 0.4 2,847,336 0.9
....Cherokee tribal grouping D040 -1 100.0 289,234 100.0
....Chippewa tribal grouping D041 -1 100.0 126,987 100.0
....Navajo tribal grouping D042 -1 100.0 340,669 100.0
....Sioux tribal grouping D043 -1 100.0 119,004 100.0
...Asian D044 672,223 21.2 18,636,984 5.7
....Asian Indian D045 54,839 1.7 4,240,466 1.3
....Chinese D046 135,744 4.3 4,404,678 1.3
....Filipino D047 84,801 2.7 2,983,596 0.9
....Japanese D048 38,957 1.2 755,672 0.2
....Korean D049 95,369 3.0 1,461,843 0.4
....Vietnamese D050 204,363 6.4 1,873,707 0.6
....Other Asian D051 58,150 1.8 2,917,022 0.9
...Native Hawaiian and Other Pacific Islander D052 11,166 0.4 628,683 0.2
....Native Hawaiian D053 1,644 0.1 198,734 0.1
....Guamanian or Chamorro D054 1,137 0.0 78,323 0.0
....Samoan D055 5,826 0.2 112,845 0.0
....Other Pacific Islander D056 2,559 0.1 238,781 0.1
...Some other race D057 410,006 12.9 16,352,553 5.0
..Two or more races D058 132,366 4.2 11,308,895 3.4
...White and Black or African American D059 15,085 0.5 3,276,186 1.0
...White and American Indian and Alaska Native D060 13,133 0.4 1,845,910 0.6
...White and Asian D061 61,402 1.9 2,502,591 0.8
...Black or African American and American Indian and Alaska Native D062 989 0.0 298,099 0.1
     
Race alone or in combination with one or more other races      
.Total population D063 3,175,692 100.0 328,239,523 100.0
..White D064 1,998,271 62.9 246,234,076 75.0
..Black or African American D065 76,447 2.4 46,713,850 14.2
..American Indian and Alaska Native D066 32,988 1.0 5,665,200 1.7
..Asian D067 750,200 23.6 22,371,683 6.8
..Native Hawaiian and Other Pacific Islander D068 23,255 0.7 1,438,818 0.4
..Some other race D069 435,503 13.7 18,214,244 5.5
     
HISPANIC OR LATINO AND RACE      
.Total population D070 3,175,692 100.0 328,239,523 100.0
..Hispanic or Latino (of any race) D071 1,081,091 34.0 60,481,746 18.4
...Mexican D072 934,675 29.4 37,186,361 11.3
...Puerto Rican D073 10,379 0.3 5,828,706 1.8
...Cuban D074 6,328 0.2 2,381,565 0.7
...Other Hispanic or Latino D075 129,709 4.1 15,085,114 4.6
..Not Hispanic or Latino D076 2,094,601 66.0 267,757,777 81.6
...White alone D077 1,260,906 39.7 196,789,401 60.0
...Black or African American alone D078 52,029 1.6 40,596,040 12.4
...American Indian and Alaska Native alone D079 5,382 0.2 2,236,348 0.7
...Asian alone D080 668,434 21.0 18,427,914 5.6
...Native Hawaiian and Other Pacific Islander alone D081 9,712 0.3 565,473 0.2
...Some other race alone D082 5,727 0.2 839,270 0.3
...Two or more races D083 92,411 2.9 8,303,331 2.5
....Two races including Some other race D084 3,096 0.1 312,842 0.1
....Two races excluding Some other race, and Three or more races D085 89,315 2.8 7,990,489 2.4
     
.Total housing units D086 1,118,148 100.0 139,686,209 100.0
     
CITIZEN, VOTING AGE POPULATION      
.Citizen, 18 and over population D087 2,099,774 100.0 235,418,734 100.0
..Male D088 1,018,375 48.5 114,206,194 48.5
..Female D089 1,081,399 51.5 121,212,540 51.5


2.2. Social Characteristics .. goto topics
.. families/households, education, enrollment, fertility, disability, language spoken, mobility, foreign born, ancestry characteristics
    and related social attributes.
.. based on ACS 2019 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 1,044,280 100.0 122,802,852 100.0
..Married-couple family S002 570,578 54.6 58,370,842 47.5
...With own children of the householder under 18 years S003 239,678 23.0 22,055,657 18.0
..Cohabiting couple household S004 55,060 5.3 8,056,993 6.6
...With own children of the householder under 18 years S005 16,293 1.6 2,642,092 2.2
..Male householder, no spouse/partner present S006 163,418 15.6 22,363,118 18.2
...With own children of the householder under 18 years S007 11,073 1.1 1,539,850 1.3
...Householder living alone S008 90,716 8.7 15,624,312 12.7
....65 years and over S009 27,984 2.7 4,559,502 3.7
..Female householder, no spouse/partner present S010 255,224 24.4 34,011,899 27.7
...With own children of the householder under 18 years S011 40,709 3.9 6,254,217 5.1
...Householder living alone S012 130,852 12.5 19,128,319 15.6
....65 years and over S013 71,701 6.9 9,423,804 7.7
     
..Households with one or more people under 18 years S014 345,079 33.0 36,700,689 29.9
..Households with one or more people 65 years and over S015 330,670 31.7 37,974,689 30.9
     
..Average household size S016 3.00   2.61  
..Average family size S017 3.51   3.23  
     
RELATIONSHIP      
.Population in households S018 3,130,960 100.0 320,155,161 100.0
..Householder S019 1,044,280 33.4 122,802,852 38.4
..Spouse S020 570,033 18.2 58,340,394 18.2
..Unmarried partner S021 55,634 1.8 8,086,441 2.5
..Child S022 986,525 31.5 94,703,318 29.6
..Other relatives S023 322,147 10.3 24,113,272 7.5
..Other nonrelatives S024 152,341 4.9 12,108,884 3.8
     
MARITAL STATUS      
.Males 15 years and over S025 1,276,611 100.0 130,629,205 100.0
..Never married S026 487,311 38.2 48,481,154 37.1
..Now married, except separated S027 659,504 51.7 64,078,466 49.1
..Separated S028 15,056 1.2 2,041,898 1.6
..Widowed S029 24,480 1.9 3,472,244 2.7
..Divorced S030 90,260 7.1 12,555,443 9.6
     
.Females 15 years and over S031 1,330,698 100.0 137,091,567 100.0
..Never married S032 414,135 31.1 42,291,512 30.8
..Now married, except separated S033 645,746 48.5 63,423,260 46.3
..Separated S034 20,994 1.6 2,808,171 2.0
..Widowed S035 99,065 7.4 11,834,834 8.6
..Divorced S036 150,758 11.3 16,733,790 12.2
     
FERTILITY      
.Number of women 15 to 50 years old who had a birth in the past 12 months S037 36,409 100.0 3,877,882 100.0
..Unmarried women (widowed, divorced, and never married) S038 7,129 19.6 1,271,041 32.8
...Per 1,000 unmarried women S039 17 -1.0 29 -1.0
..Per 1,000 women 15 to 50 years old S040 47 -1.0 50 -1.0
..Per 1,000 women 15 to 19 years old S041 11 -1.0 11 -1.0
..Per 1,000 women 20 to 34 years old S042 67 -1.0 84 -1.0
..Per 1,000 women 35 to 50 years old S043 39 -1.0 30 -1.0
     
GRANDPARENTS      
.Number of grandparents living with own grandchildren under 18 years S044 85,220 100.0 7,048,339 100.0
..Grandparents responsible for grandchildren S045 16,678 19.6 2,335,355 33.1
..Years responsible for grandchildren
...Less than 1 year S046 2,815 3.3 400,878 5.7
...1 or 2 years S047 3,472 4.1 452,848 6.4
...3 or 4 years S048 3,661 4.3 384,356 5.5
...5 or more years S049 6,730 7.9 1,097,273 15.6
     
.Number of grandparents responsible for own grandchildren under 18 years S050 16,678 100.0 2,335,355 100.0
..Who are female S051 10,367 62.2 1,478,318 63.3
..Who are married S052 11,195 67.1 1,572,556 67.3
     
SCHOOL ENROLLMENT      
.Population 3 years and over enrolled in school S053 836,849 100.0 80,465,620 100.0
..Nursery school, preschool S054 58,212 7.0 5,044,389 6.3
..Kindergarten S055 36,052 4.3 4,011,764 5.0
..Elementary school (grades 1-8) S056 302,339 36.1 32,647,524 40.6
..High school (grades 9-12) S057 166,261 19.9 16,932,635 21.0
..College or graduate school S058 273,985 32.7 21,829,308 27.1
     
EDUCATIONAL ATTAINMENT      
.Population 25 years and over S059 2,200,478 100.0 224,898,568 100.0
..Less than 9th grade S060 160,132 7.3 10,874,685 4.8
..9th to 12th grade, no diploma S061 145,322 6.6 14,743,856 6.6
..High school graduate (includes equivalency) S062 391,016 17.8 60,482,353 26.9
..Some college, no degree S063 431,698 19.6 44,914,086 20.0
..Associate's degree S064 169,466 7.7 19,381,937 8.6
..Bachelor's degree S065 568,673 25.8 45,730,479 20.3
..Graduate or professional degree S066 334,171 15.2 28,771,172 12.8
     
..High school graduate or higher S067 1,895,024 86.1 199,280,027 88.6
..Bachelor's degree or higher S068 902,844 41.0 74,501,651 33.1
     
VETERAN STATUS      
.Civilian population 18 years and over S069 2,484,014 100.0 254,046,196 100.0
..Civilian veterans S070 97,495 3.9 17,418,351 6.9
     
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION      
.Total Civilian Noninstitutionalized Population S071 3,157,964 100.0 323,120,678 100.0
..With a disability S072 271,426 8.6 41,089,958 12.7
     
.Under 18 years S073 688,949 100.0 72,835,047 100.0
..With a disability S074 22,197 3.2 3,144,951 4.3
     
.18 to 64 years S075 1,990,355 100.0 197,503,214 100.0
..With a disability S076 112,652 5.7 20,274,025 10.3
     
.65 years and over S077 478,660 100.0 52,782,417 100.0
..With a disability S078 136,577 28.5 17,670,982 33.5
     
RESIDENCE 1 YEAR AGO      
.Population 1 year and over S079 3,142,062 100.0 324,665,523 100.0
..Same house S080 2,756,029 87.7 280,343,146 86.3
..Different house in the U.S. or abroad S081 363,007 11.6 42,412,185 13.1
..Different house in the U.S. S082 259,139 8.2 24,512,131 7.5
...Same county S083 103,868 3.3 17,900,054 5.5
...Different county S084 73,337 2.3 10,501,717 3.2
....Same state S085 30,531 1.0 7,398,337 2.3
....Different state S086 23,026 0.7 1,910,192 0.6
..Abroad S087 3,175,692 100.0 328,239,523 100.0
     
PLACE OF BIRTH      
.Total population S088 2,225,867 70.1 283,306,622 86.3
..Native S089 2,175,579 68.5 277,926,231 84.7
...Born in United States S090 1,693,590 53.3 190,379,930 58.0
....State of residence S091 481,989 15.2 87,546,301 26.7
....Different state S092 50,288 1.6 5,380,391 1.6
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s) S093 949,825 29.9 44,932,901 13.7
..Foreign born S094 949,825 100.0 44,932,901 100.0
     
U.S. CITIZENSHIP STATUS      
.Foreign-born population S095 537,582 56.6 23,182,917 51.6
..Naturalized U.S. citizen S096 412,243 43.4 21,749,984 48.4
..Not a U.S. citizen S097 1,000,113 100.0 50,313,292 100.0
     
YEAR OF ENTRY      
.Population born outside the United States S098 50,288 100.0 5,380,391 100.0
     
..Native S099 17,462 34.7 1,420,681 26.4
...Entered 2010 or later S100 32,826 65.3 3,959,710 73.6
...Entered before 2010 S101 949,825 100.0 44,932,901 100.0
     
..Foreign born S102 160,835 16.9 11,142,149 24.8
...Entered 2010 or later S103 788,990 83.1 33,790,752 75.2
...Entered before 2010 S104 949,825 100.0 44,932,799 100.0
     
WORLD REGION OF BIRTH OF FOREIGN BORN      
.Foreign-born population, excluding population born at sea S105 54,407 5.7 4,665,173 10.4
..Europe S106 478,939 50.4 14,099,479 31.4
..Asia S107 20,443 2.2 2,475,118 5.5
..Africa S108 5,488 0.6 300,188 0.7
..Oceania S109 379,539 40.0 22,588,239 50.3
..Latin America S110 11,009 1.2 804,602 1.8
..Northern America S111 2,990,362 100.0 308,834,688 100.0
     
LANGUAGE SPOKEN AT HOME      
.Population 5 years and over S112 1,595,607 53.4 241,032,343 78.0
..English only S113 1,394,755 46.6 67,802,345 22.0
..Language other than English S114 543,304 18.2 25,464,167 8.2
...Speak English less than very well S115 765,060 25.6 41,757,391 13.5
..Spanish S116 268,964 9.0 16,131,307 5.2
...Speak English less than very well S117 129,377 4.3 11,465,631 3.7
..Other Indo-European languages S118 31,473 1.1 3,421,414 1.1
...Speak English less than very well S119 470,103 15.7 10,973,317 3.6
..Asian and Pacific Islander languages S120 235,365 7.9 4,843,095 1.6
...Speak English less than very well S121 30,215 1.0 3,606,006 1.2
..Other languages S122 7,502 0.3 1,068,351 0.3
...Speak English less than very well S123 3,175,692 100.0 328,239,523 100.0
     
ANCESTRY      
.Total population S124 166,173 5.2 20,071,406 6.1
..American S125 30,054 0.9 2,097,642 0.6
..Arab S126 7,720 0.2 1,294,789 0.4
..Czech S127 11,950 0.4 1,215,809 0.4
..Danish S128 32,901 1.0 3,577,936 1.1
..Dutch S129 188,080 5.9 23,593,434 7.2
..English S130 48,137 1.5 7,116,099 2.2
..French (except Basque) S131 9,653 0.3 1,994,739 0.6
..French Canadian S132 232,725 7.3 40,363,511 12.3
..German S133 11,896 0.4 1,247,142 0.4
..Greek S134 12,059 0.4 1,323,336 0.4
..Hungarian S135 190,800 6.0 30,352,567 9.2
..Irish S136 116,652 3.7 16,146,739 4.9
..Italian S137 3,922 0.1 632,169 0.2
..Lithuanian S138 34,512 1.1 4,295,923 1.3
..Norwegian S139 43,666 1.4 8,969,530 2.7
..Polish S140 11,280 0.4 1,371,153 0.4
..Portuguese S141 25,505 0.8 2,432,733 0.7
..Russian S142 14,973 0.5 2,924,654 0.9
..Scotch-Irish S143 34,243 1.1 5,131,171 1.6
..Scottish S144 2,161 0.1 654,150 0.2
..Slovak S145 12,995 0.4 4,018,144 1.2
..Subsaharan African S146 33,306 1.0 3,536,320 1.1
..Swedish S147 7,234 0.2 905,079 0.3
..Swiss S148 8,057 0.3 1,009,874 0.3
..Ukrainian S149 13,452 0.4 1,956,225 0.6
..Welsh S150 3,026 0.1 3,067,240 0.9
..West Indian (excluding Hispanic origin groups) S151 1,044,280 100.0 122,802,852 100.0
     
COMPUTERS AND INTERNET USE      
.Total households S152 1,012,117 96.9 114,062,649 92.9
..With a computer S153 970,391 92.9 106,099,330 86.4
..With a broadband Internet subscription S154 500,000 0.0 100,000 0.0


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 2019 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 2,568,184 100.0 263,534,161 100.0
..In labor force E002 1,692,410 65.9 167,501,734 63.6
...Civilian labor force E003 1,690,386 65.8 166,274,373 63.1
....Employed E004 1,621,719 63.1 158,758,794 60.2
....Unemployed E005 68,667 2.7 7,515,579 2.9
...Armed Forces E006 2,024 0.1 1,227,361 0.5
..Not in labor force E007 875,774 34.1 96,032,427 36.4
     
.Civilian labor force E008 1,690,386 100.0 166,274,373 100.0
..Unemployment Rate E009 4.10   4.50  
     
.Females 16 years and over E010 1,312,253 100.0 135,038,002 100.0
..In labor force E011 775,074 59.1 79,377,718 58.8
...Civilian labor force E012 775,011 59.1 79,194,479 58.6
....Employed E013 743,611 56.7 75,697,734 56.1
     
.Own children of the householder under 6 years E014 212,873 100.0 22,217,941 100.0
..All parents in family in labor force E015 136,396 64.1 15,005,604 67.5
     
.Own children of the householder 6 to 17 years E016 451,661 100.0 46,670,652 100.0
..All parents in family in labor force E017 302,693 67.0 33,815,468 72.5
     
COMMUTING TO WORK      
.Workers 16 years and over E018 1,593,750 100.0 156,941,346 100.0
..Car, truck, or van -- drove alone E019 1,232,474 77.3 119,153,349 75.9
..Car, truck, or van -- carpooled E020 145,501 9.1 13,900,979 8.9
..Public transportation (excluding taxicab) E021 29,388 1.8 7,778,444 5.0
..Walked E022 32,849 2.1 4,153,050 2.6
..Other means E023 32,266 2.0 2,984,724 1.9
..Worked from home E024 121,272 7.6 8,970,800 5.7
     
..Mean travel time to work (minutes) E025 28.30   27.60  
     
OCCUPATION      
.Civilian employed population 16 years and over E026 1,621,719 100.0 158,758,794 100.0
..Management, business, science, and arts occupations E027 713,857 44.0 63,267,357 39.9
..Service occupations E028 276,823 17.1 28,093,795 17.7
..Sales and office occupations E029 349,230 21.5 32,354,582 20.4
..Natural resources, construction, and maintenance occupations E030 115,678 7.1 14,041,340 8.8
..Production, transportation, and material moving occupations E031 166,131 10.2 21,001,720 13.2
     
INDUSTRY      
.Civilian employed population 16 years and over E032 1,621,719 100.0 158,758,794 100.0
..Agriculture, forestry, fishing and hunting, and mining E033 12,146 0.7 2,731,387 1.7
..Construction E034 107,117 6.6 11,036,894 7.0
..Manufacturing E035 181,466 11.2 15,770,698 9.9
..Wholesale trade E036 55,319 3.4 4,013,368 2.5
..Retail trade E037 165,647 10.2 17,216,634 10.8
..Transportation and warehousing, and utilities E038 62,146 3.8 8,938,005 5.6
..Information E039 30,043 1.9 2,959,616 1.9
..Finance and insurance, and real estate and rental and leasing E040 137,726 8.5 10,297,770 6.5
..Professional, scientific, and management, and administrative and waste management services E041 229,527 14.2 18,764,289 11.8
..Educational services, and health care and social assistance E042 333,441 20.6 36,971,212 23.3
..Arts, entertainment, and recreation, and accommodation and food services E043 172,773 10.7 15,334,575 9.7
..Other services, except public administration E044 85,641 5.3 7,584,054 4.8
..Public administration E045 48,727 3.0 7,140,292 4.5
     
CLASS OF WORKER      
.Civilian employed population 16 years and over E046 1,621,719 100.0 158,758,794 100.0
..Private wage and salary workers E047 1,308,140 80.7 126,974,535 80.0
..Government workers E048 183,068 11.3 22,166,456 14.0
..Self-employed in own not incorporated business workers E049 126,441 7.8 9,260,967 5.8
..Unpaid family workers E050 4,070 0.3 356,836 0.2
     
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS)      
.Total households E051 1,044,280 100.0 122,802,852 100.0
..Less than $10,000 E052 42,330 4.1 7,118,907 5.8
..$10,000 to $14,999 E053 26,740 2.6 4,940,584 4.0
..$15,000 to $24,999 E054 51,354 4.9 10,160,835 8.3
..$25,000 to $34,999 E055 56,531 5.4 10,305,222 8.4
..$35,000 to $49,999 E056 86,269 8.3 14,668,172 11.9
..$50,000 to $74,999 E057 148,121 14.2 21,328,725 17.4
..$75,000 to $99,999 E058 129,652 12.4 15,752,484 12.8
..$100,000 to $149,999 E059 205,403 19.7 19,302,919 15.7
..$150,000 to $199,999 E060 120,403 11.5 8,802,761 7.2
..$200,000 or more E061 177,477 17.0 10,422,243 8.5
..Median household income (dollars) E062 95,934   65,712  
..Mean household income (dollars) E063 127,176   92,324  
     
..With earnings E064 857,231 82.1 95,086,221 77.4
...Mean earnings (dollars) E065 126,644   93,563  
..With Social Security E066 292,063 28.0 38,937,269 31.7
...Mean Social Security income (dollars) E067 20,422   19,872  
..With retirement income E068 227,348 21.8 30,088,849 24.5
...Mean retirement income (dollars) E069 36,032   28,381  
     
..With Supplemental Security Income E070 44,567 4.3 6,368,156 5.2
...Mean Supplemental Security Income (dollars) E071 9,912   9,824  
..With cash public assistance income E072 15,114 1.4 2,678,217 2.2
...Mean cash public assistance income (dollars) E073 4,496   3,009  
..With Food Stamp/SNAP benefits in the past 12 months E074 51,112 4.9 13,173,722 10.7
     
.Families E075 747,163 100.0 79,594,270 100.0
..Less than $10,000 E076 18,206 2.4 2,647,590 3.3
..$10,000 to $14,999 E077 9,956 1.3 1,657,202 2.1
..$15,000 to $24,999 E078 29,100 3.9 4,474,491 5.6
..$25,000 to $34,999 E079 37,036 5.0 5,504,973 6.9
..$35,000 to $49,999 E080 58,391 7.8 8,621,153 10.8
..$50,000 to $74,999 E081 99,042 13.3 13,871,111 17.4
..$75,000 to $99,999 E082 93,035 12.5 11,481,200 14.4
..$100,000 to $149,999 E083 153,529 20.5 15,224,876 19.1
..$150,000 to $199,999 E084 98,708 13.2 7,304,937 9.2
..$200,000 or more E085 150,160 20.1 8,806,737 11.1
..Median family income (dollars) E086 107,171   80,944  
..Mean family income (dollars) E087 140,730   108,587  
     
.Per capita income (dollars) E088 43,200   35,672  
     
.Nonfamily households E089 297,117 100.0 43,208,582 100.0
..Median nonfamily income (dollars) E090 61,593   39,871  
..Mean nonfamily income (dollars) E091 84,619   58,110  
     
.Median earnings for workers (dollars) E092 41,609   36,519  
.Median earnings for male full-time, year-round workers (dollars) E093 62,421   52,989  
.Median earnings for female full-time, year-round workers (dollars) E094 52,500   43,215  
     
HEALTH INSURANCE COVERAGE      
.Civilian noninstitutionalized population E095 3,157,964 100.0 323,120,678 100.0
..With health insurance coverage E096 2,915,974 92.3 293,482,006 90.8
...With private health insurance E097 2,158,869 68.4 217,811,672 67.4
...With public coverage E098 1,024,782 32.5 114,314,962 35.4
..No health insurance coverage E099 241,990 7.7 29,638,672 9.2
     
.Civilian noninstitutionalized population under 19 years E100 729,880 100.0 77,350,432 100.0
..No health insurance coverage E101 28,913 4.0 4,375,102 5.7
     
.Civilian noninstitutionalized population 19 to 64 years E102 1,949,424 100.0 192,987,829 100.0
..In labor force: E103 1,559,120 100.0 151,909,747 100.0
...Employed: E104 1,498,552 100.0 145,378,445 100.0
....With health insurance coverage E105 1,353,772 90.3 128,593,858 88.5
.....With private health insurance E106 1,203,983 80.3 117,146,501 80.6
.....With public coverage E107 175,697 11.7 15,020,722 10.3
....No health insurance coverage E108 144,780 9.7 16,784,587 11.5
...Unemployed: E109 60,568 100.0 6,531,302 100.0
....With health insurance coverage E110 47,940 79.2 4,682,652 71.7
.....With private health insurance E111 27,725 45.8 2,631,749 40.3
.....With public coverage E112 21,765 35.9 2,260,448 34.6
....No health insurance coverage E113 12,628 20.8 1,848,650 28.3
..Not in labor force: E114 390,304 100.0 41,078,082 100.0
...With health insurance coverage E115 339,653 87.0 34,859,419 84.9
....With private health insurance E116 233,436 59.8 20,771,760 50.6
....With public coverage E117 124,399 31.9 16,969,279 41.3
...No health insurance coverage E118 50,651 13.0 6,218,663 15.1
     
PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL      
.All families E119 6.3   8.6  
..With related children of the householder under 18 years E120 9.6   13.8  
...With related children of the householder under 5 years only E121 6.3   13.0  
..Married couple families E122 4.2   4.2  
...With related children of the householder under 18 years E123 6.0   5.7  
....With related children of the householder under 5 years only E124 2.4   4.5  
..Families with female householder, no spouse present E125 14.9   24.1  
...With related children of the householder under 18 years E126 23.7   33.5  
....With related children of the householder under 5 years only E127 23.6   37.6  
     
.All people E128 9.4   12.3  
..Under 18 years E129 12.5   16.8  
...Related children of the householder under 18 years E130 12.3   16.4  
....Related children of the householder under 5 years E131 11.6   18.2  
....Related children of the householder 5 to 17 years E132 12.5   15.8  
..18 years and over E133 8.6   11.1  
...18 to 64 years E134 8.6   11.5  
...65 years and over E135 8.7   9.4  
..People in families E136 7.0   9.5  
..Unrelated individuals 15 years and over E137 21.8   23.9  


2.4. Housing Situation.. goto topics

2.4.1. New Authorized Residential Construction.. goto topics
.. updated monthly based on data reported by local governments. Compare monthly data for 2020 through October 2022; next update December 26, 2022 (November 2022 data). Table below saved as c:\dede\1\06059bp.csv.
Units in StructureJan-20Feb-20Mar-20Apr-20May-20Jun-20Jul-20Aug-20Sep-20Oct-20Nov-20Dec-20
Single Family, Buildings 185 351 318 116 184 281 282 262 253 307 332 218
Single Family, Units 185 351 318 116 184 281 282 262 253 307 332 218
Single Family, Value 54,456 101,706 88,176 38,862 58,581 90,751 91,429 77,383 76,161 93,558 94,000 63,725
2 Unit, Buildings 5 6 8 3 3 6 3 7 13 12 4 5
2 Unit, Units 10 12 16 6 6 12 6 14 26 24 8 10
2 Unit, Value 2,577 3,395 3,655 1,939 1,517 3,481 1,548 3,461 6,431 7,844 2,429 2,199
3-4 Unit, Buildings 8 8 10 5 0 7 9 5 4 10 3 3
3-4 Unit, Units 31 28 35 17 0 24 29 15 16 34 9 9
3-4 Unit, Value 7,154 6,521 8,554 3,880 0 4,385 8,148 3,799 3,537 7,788 2,647 3,001
5+ Unit, Buildings 3 11 12 5 8 8 10 10 5 8 16 7
5+ Unit, Units 38 106 337 351 264 59 146 92 126 148 405 495
5+ Unit, Value 7,757 21,128 57,453 55,913 64,129 12,718 27,372 15,159 19,463 24,093 75,535 73,774

Units in StructureJan-21Feb-21Mar-21Apr-21May-21Jun-21Jul-21Aug-21Sep-21Oct-21Nov-21Dec-21
Single Family, Buildings 230 281 431 299 294 257 296 235 293 450 230 193
Single Family, Units 230 281 431 299 294 257 296 235 293 450 230 193
Single Family, Value 67,550 78,236 132,795 85,456 87,088 76,482 81,079 69,360 90,964 127,477 63,253 55,443
2 Unit, Buildings 8 9 14 10 11 16 9 2 3 3 3 2
2 Unit, Units 16 18 28 20 22 32 18 4 6 6 6 4
2 Unit, Value 3,745 5,435 7,931 4,820 7,025 9,303 5,647 1,333 2,000 2,000 2,000 1,333
3-4 Unit, Buildings 8 7 3 5 5 4 12 7 12 6 3 5
3-4 Unit, Units 29 21 12 18 17 13 44 28 38 22 11 17
3-4 Unit, Value 4,497 5,937 2,460 4,344 3,680 3,538 9,509 6,048 9,795 5,179 2,358 3,664
5+ Unit, Buildings 21 13 29 18 21 1 19 7 5 11 6 6
5+ Unit, Units 746 549 1,140 158 147 20 461 138 258 102 362 416
5+ Unit, Value 138,776 102,160 253,667 33,541 25,178 3,709 77,472 27,458 69,490 19,711 77,221 73,135

Units in StructureJan-22Feb-22Mar-22Apr-22May-22Jun-22Jul-22Aug-22Sep-22Oct-22Nov-22Dec-22
Single Family, Buildings 217 293 367 308 285 263 191 262 218 176 0 0
Single Family, Units 217 293 367 308 285 263 191 262 218 176 0 0
Single Family, Value 61,847 86,833 113,028 69,373 74,920 71,027 50,768 82,554 64,920 40,518 0 0
2 Unit, Buildings 3 6 9 20 3 12 4 15 2 5 0 0
2 Unit, Units 6 12 18 40 6 24 8 30 4 10 0 0
2 Unit, Value 1,845 3,506 5,239 13,286 2,000 8,103 2,564 9,632 1,333 2,809 0 0
3-4 Unit, Buildings 1 1 14 2 6 4 8 1 3 2 0 0
3-4 Unit, Units 3 3 44 7 21 14 31 3 10 7 0 0
3-4 Unit, Value 672 807 10,138 1,857 6,083 4,399 7,074 614 3,026 1,857 0 0
5+ Unit, Buildings 4 14 7 5 11 23 8 9 8 4 0 0
5+ Unit, Units 59 138 132 45 419 432 73 87 527 295 0 0
5+ Unit, Value 11,182 20,278 29,233 7,792 76,416 82,555 12,635 17,832 98,980 57,732 0 0


2.4.1a. New Authorized Residential Construction.. goto topics
Annual for County
Units in Structure2015201620172018201920202021
Single Family, Buildings 3,809 4,357 4,904 4,085 3,422 2,985 3,433
Single Family, Units 3,809 4,357 4,904 4,085 3,422 2,985 3,433
Single Family, Value 1,264,654 1,370,017 1,534,556 1,258,123 1,054,236 881,911 953,492
2 Unit, Buildings 95 76 130 153 143 75 91
2 Unit, Units 190 152 260 306 286 150 182
2 Unit, Value 43,162 36,912 63,853 77,018 72,228 40,223 53,804
3-4 Unit, Buildings 114 101 99 95 37 68 74
3-4 Unit, Units 379 343 328 316 125 234 261
3-4 Unit, Value 75,270 72,371 71,337 66,541 25,861 56,603 60,163
5+ Unit, Buildings 172 159 143 109 93 75 146
5+ Unit, Units 6,393 6,671 4,018 2,808 5,156 2,658 3,991
5+ Unit, Value 844,833 965,960 630,507 419,850 669,038 492,951 806,474


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 2019 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 1,118,148 100.0 139,686,209 100.0
..Occupied housing units H002 1,044,280 93.4 122,802,852 87.9
..Vacant housing units H003 73,868 6.6 16,883,357 12.1
     
..Homeowner vacancy rate H004 1.30   1.50  
..Rental vacancy rate H005 5.00   6.00  
     
UNITS IN STRUCTURE      
.Total housing units H006 1,118,148 100.0 139,686,209 100.0
..1-unit, detached H007 564,556 50.5 85,641,835 61.3
..1-unit, attached H008 134,212 12.0 8,136,403 5.8
..2 units H009 17,311 1.5 4,867,434 3.5
..3 or 4 units H010 81,125 7.3 6,025,800 4.3
..5 to 9 units H011 73,458 6.6 6,587,566 4.7
..10 to 19 units H012 59,505 5.3 6,222,416 4.5
..20 or more units H013 155,384 13.9 13,596,157 9.7
..Mobile home H014 31,762 2.8 8,468,274 6.1
..Boat, RV, van, etc. H015 835 0.1 140,324 0.1
     
YEAR STRUCTURE BUILT      
.Total housing units H016 1,118,148 100.0 139,686,209 100.0
..Built 2014 or later H017 53,164 4.8 6,373,084 4.6
..Built 2010 to 2013 H018 20,244 1.8 3,635,020 2.6
..Built 2000 to 2009 H019 88,675 7.9 18,434,989 13.2
..Built 1990 to 1999 H020 123,150 11.0 19,128,877 13.7
..Built 1980 to 1989 H021 159,683 14.3 18,596,295 13.3
..Built 1970 to 1979 H022 254,963 22.8 20,941,561 15.0
..Built 1960 to 1969 H023 216,619 19.4 14,594,788 10.4
..Built 1950 to 1959 H024 148,821 13.3 14,134,069 10.1
..Built 1940 to 1949 H025 26,177 2.3 6,628,385 4.7
..Built 1939 or earlier H026 26,652 2.4 17,219,141 12.3
     
ROOMS      
.Total housing units H027 1,118,148 100.0 139,686,209 100.0
..1 room H028 29,152 2.6 3,320,461 2.4
..2 rooms H029 40,331 3.6 4,073,851 2.9
..3 rooms H030 140,581 12.6 12,991,967 9.3
..4 rooms H031 234,425 21.0 22,597,539 16.2
..5 rooms H032 198,015 17.7 26,911,557 19.3
..6 rooms H033 181,109 16.2 24,637,448 17.6
..7 rooms H034 121,855 10.9 16,747,196 12.0
..8 rooms H035 82,416 7.4 12,153,521 8.7
..9 rooms or more H036 90,264 8.1 16,252,669 11.6
..Median rooms H037 5.1   5.5  
     
BEDROOMS      
.Total housing units H038 1,118,148 100.0 139,686,209 100.0
..No bedroom H039 30,959 2.8 3,650,241 2.6
..1 bedroom H040 149,457 13.4 15,323,800 11.0
..2 bedrooms H041 312,014 27.9 35,938,436 25.7
..3 bedrooms H042 330,926 29.6 54,597,644 39.1
..4 bedrooms H043 235,688 21.1 23,707,809 17.0
..5 or more bedrooms H044 59,104 5.3 6,468,279 4.6
     
HOUSING TENURE      
.Occupied housing units H045 1,044,280 100.0 122,802,852 100.0
..Owner-occupied H046 596,413 57.1 78,724,862 64.1
..Renter-occupied H047 447,867 42.9 44,077,990 35.9
     
..Average household size of owner-occupied unit H048 2.96   2.70  
..Average household size of renter-occupied unit H049 3.05   2.44  
     
YEAR HOUSEHOLDER MOVED INTO UNIT      
.Occupied housing units H050 1,044,280 100.0 122,802,852 100.0
..Moved in 2017 or later H051 275,462 26.4 34,411,155 28.0
..Moved in 2015 to 2016 H052 125,286 12.0 15,382,632 12.5
..Moved in 2010 to 2014 H053 181,986 17.4 19,530,199 15.9
..Moved in 2000 to 2009 H054 213,564 20.5 24,934,374 20.3
..Moved in 1990 to 1999 H055 134,040 12.8 14,024,567 11.4
..Moved in 1989 and earlier H056 113,942 10.9 14,519,925 11.8
     
VEHICLES AVAILABLE      
.Occupied housing units H057 1,044,280 100.0 122,802,852 100.0
..No vehicles available H058 44,585 4.3 10,571,819 8.6
..1 vehicle available H059 268,372 25.7 39,818,356 32.4
..2 vehicles available H060 432,425 41.4 45,290,066 36.9
..3 or more vehicles available H061 298,898 28.6 27,122,611 22.1
     
HOUSE HEATING FUEL      
.Occupied housing units H062 1,044,280 100.0 122,802,852 100.0
..Utility gas H063 741,362 71.0 58,702,794 47.8
..Bottled, tank, or LP gas H064 13,045 1.2 5,930,166 4.8
..Electricity H065 250,396 24.0 48,468,860 39.5
..Fuel oil, kerosene, etc. H066 339 0.0 5,416,452 4.4
..Coal or coke H067 157 0.0 111,484 0.1
..Wood H068 1,290 0.1 2,012,636 1.6
..Solar energy H069 5,802 0.6 248,893 0.2
..Other fuel H070 535 0.1 570,857 0.5
..No fuel used H071 31,354 3.0 1,340,710 1.1
     
SELECTED CHARACTERISTICS      
.Occupied housing units H072 1,044,280 100.0 122,802,852 100.0
..Lacking complete plumbing facilities H073 2,739 0.3 461,279 0.4
..Lacking complete kitchen facilities H074 11,451 1.1 1,024,314 0.8
..No telephone service available H075 8,865 0.8 1,263,227 1.0
     
OCCUPANTS PER ROOM      
.Occupied housing units H076 1,044,280 100.0 122,802,852 100.0
..1.00 or less H077 953,234 91.3 118,734,594 96.7
..1.01 to 1.50 H078 58,521 5.6 2,758,338 2.2
..1.51 or more H079 32,525 3.1 1,309,920 1.1
     
VALUE      
.Owner-occupied units H080 596,413 100.0 78,724,862 100.0
..Less than $50,000 H081 8,667 1.5 4,911,653 6.2
..$50,000 to $99,999 H082 9,168 1.5 8,033,491 10.2
..$100,000 to $149,999 H083 6,066 1.0 9,013,104 11.4
..$150,000 to $199,999 H084 6,296 1.1 10,424,880 13.2
..$200,000 to $299,999 H085 12,827 2.2 16,079,298 20.4
..$300,000 to $499,999 H086 65,784 11.0 16,870,733 21.4
..$500,000 to $999,999 H087 363,667 61.0 10,294,023 13.1
..$1,000,000 or more H088 123,938 20.8 3,097,680 3.9
..Median (dollars) H089 725,100   240,500  
     
MORTGAGE STATUS      
.Owner-occupied units H090 596,413 100.0 78,724,862 100.0
..Housing units with a mortgage H091 409,883 68.7 48,603,972 61.7
..Housing units without a mortgage H092 186,530 31.3 30,120,890 38.3
     
SELECTED MONTHLY OWNER COSTS (SMOC)      
.Housing units with a mortgage H093 409,883 100.0 48,603,972 100.0
..Less than $500 H094 1,394 0.3 600,457 1.2
..$500 to $999 H095 9,102 2.2 8,240,640 17.0
..$1,000 to $1,499 H096 30,203 7.4 13,015,189 26.8
..$1,500 to $1,999 H097 54,096 13.2 10,146,031 20.9
..$2,000 to $2,499 H098 65,699 16.0 6,401,140 13.2
..$2,500 to $2,999 H099 65,741 16.0 3,917,090 8.1
..$3,000 or more H100 183,648 44.8 6,283,425 12.9
..Median (dollars) H101 2,838   1,609  
     
.Housing units without a mortgage H102 186,530 100.0 30,120,890 100.0
..Less than $250 H103 12,917 6.9 3,463,562 11.5
..$250 to $399 H104 25,987 13.9 6,825,038 22.7
..$400 to $599 H105 38,321 20.5 8,397,029 27.9
..$600 to $799 H106 37,018 19.8 5,049,841 16.8
..$800 to $999 H107 26,680 14.3 2,680,349 8.9
..$1,000 or more H108 45,607 24.5 3,705,071 12.3
..Median (dollars) H109 677   505  
     
SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI)      
.Housing units with a mortgage (excluding units where SMOCAPI cannot be computed) H110 407,461 100.0 48,403,285 100.0
..Less than 20.0 percent H111 145,116 35.6 23,020,723 47.6
..20.0 to 24.9 percent H112 60,467 14.8 7,539,822 15.6
..25.0 to 29.9 percent H113 50,004 12.3 4,961,214 10.2
..30.0 to 34.9 percent H114 36,047 8.8 3,254,327 6.7
..35.0 percent or more H115 115,827 28.4 9,627,199 19.9
     
..Not computed H116 2,422 -1.0 200,687 -1.0
     
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed) H117 183,858 100.0 29,755,478 100.0
..Less than 10.0 percent H118 95,777 52.1 14,013,456 47.1
..10.0 to 14.9 percent H119 30,399 16.5 5,741,021 19.3
..15.0 to 19.9 percent H120 14,332 7.8 3,163,230 10.6
..20.0 to 24.9 percent H121 10,729 5.8 1,890,633 6.4
..25.0 to 29.9 percent H122 6,581 3.6 1,216,693 4.1
..30.0 to 34.9 percent H123 5,321 2.9 802,195 2.7
..35.0 percent or more H124 20,719 11.3 2,928,250 9.8
     
..Not computed H125 2,672 -1.0 365,412 -1.0
     
GROSS RENT      
.Occupied units paying rent H126 438,403 100.0 41,946,055 100.0
..Less than $500 H127 14,336 3.3 3,855,102 9.2
..$500 to $999 H128 17,213 3.9 14,289,538 34.1
..$1,000 to $1,499 H129 72,920 16.6 12,560,699 29.9
..$1,500 to $1,999 H130 133,566 30.5 6,358,202 15.2
..$2,000 to $2,499 H131 97,228 22.2 2,617,659 6.2
..$2,500 to $2,999 H132 52,865 12.1 1,149,118 2.7
..$3,000 or more H133 50,275 11.5 1,115,737 2.7
..Median (dollars) H134 1,929   1,097  
     
..No rent paid H135 9,464 -1.0 2,131,935 -1.0
     
GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI)      
.Occupied units paying rent (excluding units where GRAPI cannot be computed) H136 427,195 100.0 41,048,717 100.0
..Less than 15.0 percent H137 39,080 9.1 5,663,393 13.8
..15.0 to 19.9 percent H138 48,076 11.3 5,374,492 13.1
..20.0 to 24.9 percent H139 55,996 13.1 5,348,428 13.0
..25.0 to 29.9 percent H140 52,778 12.4 4,780,865 11.6
..30.0 to 34.9 percent H141 43,059 10.1 3,728,405 9.1
..35.0 percent or more H142 188,206 44.1 16,153,134 39.4
     
..Not computed H143 20,672 -1.0 3,029,273 -1.0


3.1 Industry by Sector Characteristics .. goto topics
Establishments, Employment, Wages QCEW -- 2022Q2
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 0 138,257 100.0 1,631,566 100.0 30,109,822,786 100.0 1,420
Total, Federal 10 1 126 0.1 10,759 0.7 260,453,091 0.9 1,862
Total, State 10 2 392 0.3 25,753 1.6 580,432,769 1.9 1,734
Total, Local 10 3 875 0.6 114,472 7.0 2,236,389,658 7.4 1,503
Total, Private 10 5 136,864 99.0 1,480,582 90.7 27,032,547,268 89.8 1,404
Agriculture, forestry, fishing and hunting 11 5 164 0.1 1,758 0.1 19,952,843 0.1 873
Crop production 111 5 87 0.1 1,214 0.1 13,657,967 0.0 866
Animal production 112 5 12 0.0 32 0.0 399,396 0.0 970
Fishing, hunting and trapping 114 5 9 0.0 28 0.0 244,125 0.0 663
Agriculture and forestry support activities 115 5 56 0.0 485 0.0 5,651,355 0.0 897
Mining 21 5 37 0.0 314 0.0 8,591,177 0.0 2,107
Oil and gas extraction 211 5 10 0.0 0 0.0 0 0.0 0
Mining, except oil and gas 212 5 5 0.0 0 0.0 0 0.0 0
Support activities for mining 213 5 22 0.0 197 0.0 5,110,311 0.0 1,992
Utilities 22 3 33 0.0 3,351 0.2 88,760,372 0.3 2,038
Utilities 22 5 114 0.1 2,994 0.2 100,575,305 0.3 2,584
Utilities 221 3 33 0.0 3,351 0.2 88,760,372 0.3 2,038
Utilities 221 5 114 0.1 2,994 0.2 100,575,305 0.3 2,584
Construction 23 3 9 0.0 438 0.0 6,703,660 0.0 1,178
Construction 23 5 8,165 5.9 104,843 6.4 2,224,724,960 7.4 1,632
Construction of buildings 236 5 2,816 2.0 23,032 1.4 529,254,132 1.8 1,768
Heavy and civil engineering construction 237 3 9 0.0 438 0.0 6,703,660 0.0 1,178
Heavy and civil engineering construction 237 5 336 0.2 9,252 0.6 276,883,796 0.9 2,302
Specialty trade contractors 238 5 5,013 3.6 72,559 4.4 1,418,587,032 4.7 1,504
Manufacturing 31-33 5 5,399 3.9 153,876 9.4 3,769,184,481 12.5 1,884
Food manufacturing 311 5 371 0.3 6,901 0.4 95,186,571 0.3 1,061
Beverage and tobacco product manufacturing 312 5 102 0.1 2,298 0.1 33,203,986 0.1 1,111
Textile mills 313 5 25 0.0 624 0.0 9,792,945 0.0 1,207
Textile product mills 314 5 83 0.1 1,301 0.1 18,892,748 0.1 1,117
Apparel manufacturing 315 5 220 0.2 3,913 0.2 71,880,413 0.2 1,413
Leather and allied product manufacturing 316 5 19 0.0 175 0.0 3,046,837 0.0 1,342
Wood product manufacturing 321 5 91 0.1 1,135 0.1 17,108,099 0.1 1,159
Paper manufacturing 322 5 58 0.0 1,871 0.1 34,649,776 0.1 1,425
Printing and related support activities 323 5 497 0.4 6,516 0.4 94,374,380 0.3 1,114
Petroleum and coal products manufacturing 324 5 17 0.0 159 0.0 3,373,030 0.0 1,628
Chemical manufacturing 325 5 340 0.2 8,979 0.6 192,778,800 0.6 1,651
Plastics and rubber products manufacturing 326 5 185 0.1 6,545 0.4 121,421,323 0.4 1,427
Nonmetallic mineral product manufacturing 327 5 105 0.1 1,196 0.1 20,510,770 0.1 1,319
Primary metal manufacturing 331 5 48 0.0 847 0.1 17,185,819 0.1 1,561
Fabricated metal product manufacturing 332 5 924 0.7 19,098 1.2 320,045,977 1.1 1,289
Machinery manufacturing 333 5 383 0.3 7,555 0.5 163,832,033 0.5 1,668
Computer and electronic product manufacturing 334 5 635 0.5 32,953 2.0 1,150,324,697 3.8 2,685
Electrical equipment and appliance manufacturing 335 5 185 0.1 4,830 0.3 103,538,323 0.3 1,649
Transportation equipment manufacturing 336 5 263 0.2 16,988 1.0 689,995,854 2.3 3,124
Furniture and related product manufacturing 337 5 192 0.1 4,673 0.3 79,852,622 0.3 1,314
Miscellaneous manufacturing 339 5 656 0.5 25,318 1.6 528,189,478 1.8 1,605
Wholesale trade 42 5 7,189 5.2 75,062 4.6 1,854,058,914 6.2 1,900
Merchant wholesalers, durable goods 423 5 3,888 2.8 45,799 2.8 1,185,675,626 3.9 1,991
Merchant wholesalers, nondurable goods 424 5 2,233 1.6 24,185 1.5 545,202,125 1.8 1,734
Electronic markets and agents and brokers 425 5 1,068 0.8 5,077 0.3 123,181,163 0.4 1,866
Retail trade 44-45 1 1 0.0 11 0.0 123,150 0.0 888
Retail trade 44-45 5 9,731 7.0 142,832 8.8 1,708,939,931 5.7 920
Motor vehicle and parts dealers 441 5 973 0.7 17,201 1.1 403,946,225 1.3 1,806
Building material and garden supply stores 444 5 501 0.4 11,727 0.7 137,278,205 0.5 900
Food and beverage stores 445 5 1,320 1.0 29,480 1.8 266,040,508 0.9 694
Food and beverage stores 449 5 1,071 0.8 10,785 0.7 147,871,659 0.5 1,055
Food and beverage stores 455 5 581 0.4 27,009 1.7 257,292,410 0.9 733
Food and beverage stores 456 5 1,479 1.1 13,064 0.8 165,196,753 0.5 973
Food and beverage stores 457 1 1 0.0 11 0.0 123,150 0.0 888
Food and beverage stores 457 5 543 0.4 4,723 0.3 44,234,443 0.1 720
Food and beverage stores 458 5 1,394 1.0 14,009 0.9 134,438,562 0.4 738
Food and beverage stores 459 5 1,869 1.4 14,834 0.9 152,641,166 0.5 792
Transportation and warehousing 48-49 1 54 0.0 5,149 0.3 96,770,380 0.3 1,446
Transportation and warehousing 48-49 3 25 0.0 2,857 0.2 59,530,972 0.2 1,603
Transportation and warehousing 48-49 5 1,986 1.4 29,070 1.8 425,198,009 1.4 1,125
Air transportation 481 5 38 0.0 1,153 0.1 22,987,532 0.1 1,534
Rail transportation 482 5 1 0.0 0 0.0 0 0.0 0
Water transportation 483 5 24 0.0 134 0.0 1,575,547 0.0 902
Truck transportation 484 5 896 0.6 6,051 0.4 87,285,133 0.3 1,110
Transit and ground passenger transportation 485 3 14 0.0 2,120 0.1 45,409,369 0.2 1,647
Transit and ground passenger transportation 485 5 147 0.1 2,697 0.2 32,808,551 0.1 936
Pipeline transportation 486 5 4 0.0 0 0.0 0 0.0 0
Scenic and sightseeing transportation 487 5 34 0.0 383 0.0 4,194,800 0.0 843
Support activities for transportation 488 3 3 0.0 227 0.0 6,447,789 0.0 2,188
Support activities for transportation 488 5 471 0.3 4,292 0.3 73,213,511 0.2 1,312
Postal service 491 1 54 0.0 5,149 0.3 96,770,380 0.3 1,446
Postal service 491 5 10 0.0 27 0.0 188,996 0.0 538
Couriers and messengers 492 5 237 0.2 8,549 0.5 103,364,266 0.3 930
Warehousing and storage 493 3 8 0.0 510 0.0 7,673,814 0.0 1,157
Warehousing and storage 493 5 124 0.1 5,709 0.3 97,985,578 0.3 1,320
Information 51 3 14 0.0 569 0.0 7,678,375 0.0 1,038
Information 51 5 1,650 1.2 24,006 1.5 783,070,867 2.6 2,509
Motion picture and sound recording industries 512 5 371 0.3 2,420 0.1 26,206,570 0.1 833
Motion picture and sound recording industries 513 5 564 0.4 9,902 0.6 375,959,882 1.2 2,921
Internet publishing and broadcasting 516 5 144 0.1 1,832 0.1 46,258,565 0.2 1,942
Telecommunications 517 5 293 0.2 5,679 0.3 155,516,898 0.5 2,107
ISPs, search portals, and data processing 518 3 1 0.0 15 0.0 499,732 0.0 2,563
ISPs, search portals, and data processing 518 5 241 0.2 3,096 0.2 87,396,353 0.3 2,171
Other information services 519 3 13 0.0 554 0.0 7,178,643 0.0 997
Other information services 519 5 37 0.0 1,078 0.1 91,732,599 0.3 6,548
Finance and insurance 52 1 2 0.0 52 0.0 1,975,339 0.0 2,903
Finance and insurance 52 5 7,004 5.1 73,183 4.5 2,362,475,943 7.8 2,483
Monetary authorities - central bank 521 5 2 0.0 0 0.0 0 0.0 0
Credit intermediation and related activities 522 1 1 0.0 10 0.0 407,115 0.0 3,132
Credit intermediation and related activities 522 5 2,436 1.8 38,926 2.4 1,097,138,092 3.6 2,168
Securities, commodity contracts, investments 523 5 1,925 1.4 11,648 0.7 657,711,758 2.2 4,344
Insurance carriers and related activities 524 1 1 0.0 42 0.0 1,568,224 0.0 2,850
Insurance carriers and related activities 524 5 2,519 1.8 22,094 1.4 592,082,047 2.0 2,061
Funds, trusts, and other financial vehicles 525 5 122 0.1 0 0.0 0 0.0 0
Real estate and rental and leasing 53 5 7,360 5.3 39,500 2.4 861,274,485 2.9 1,677
Real estate 531 5 6,782 4.9 33,833 2.1 747,657,858 2.5 1,700
Rental and leasing services 532 5 525 0.4 5,391 0.3 104,838,503 0.3 1,496
Lessors of nonfinancial intangible assets 533 5 53 0.0 276 0.0 8,778,124 0.0 2,449
Professional and technical services 54 1 1 0.0 78 0.0 1,982,479 0.0 1,947
Professional and technical services 54 3 9 0.0 217 0.0 5,445,105 0.0 1,930
Professional and technical services 54 5 19,390 14.0 135,103 8.3 3,709,391,247 12.3 2,112
Professional and technical services 541 1 1 0.0 78 0.0 1,982,479 0.0 1,947
Professional and technical services 541 3 9 0.0 217 0.0 5,445,105 0.0 1,930
Professional and technical services 541 5 19,390 14.0 135,103 8.3 3,709,391,247 12.3 2,112
Management of companies and enterprises 55 5 572 0.4 38,759 2.4 1,281,528,846 4.3 2,543
Management of companies and enterprises 551 5 572 0.4 38,759 2.4 1,281,528,846 4.3 2,543
Administrative and waste services 56 2 1 0.0 54 0.0 1,111,057 0.0 1,583
Administrative and waste services 56 3 9 0.0 633 0.0 10,607,078 0.0 1,290
Administrative and waste services 56 5 5,540 4.0 150,634 9.2 1,920,271,664 6.4 981
Administrative and support services 561 2 1 0.0 54 0.0 1,111,057 0.0 1,583
Administrative and support services 561 3 6 0.0 512 0.0 7,990,726 0.0 1,201
Administrative and support services 561 5 5,319 3.8 145,681 8.9 1,822,870,579 6.1 963
Waste management and remediation services 562 3 3 0.0 121 0.0 2,616,352 0.0 1,663
Waste management and remediation services 562 5 221 0.2 4,953 0.3 97,401,085 0.3 1,513
Educational services 61 2 213 0.2 15,223 0.9 371,736,401 1.2 1,878
Educational services 61 3 631 0.5 70,948 4.3 1,221,358,923 4.1 1,324
Educational services 61 5 1,889 1.4 34,584 2.1 408,539,529 1.4 909
Educational services 611 2 213 0.2 15,223 0.9 371,736,401 1.2 1,878
Educational services 611 3 631 0.5 70,948 4.3 1,221,358,923 4.1 1,324
Educational services 611 5 1,889 1.4 34,584 2.1 408,539,529 1.4 909
Health care and social assistance 62 1 2 0.0 35 0.0 780,429 0.0 1,699
Health care and social assistance 62 2 18 0.0 5,855 0.4 111,741,542 0.4 1,468
Health care and social assistance 62 3 4 0.0 85 0.0 886,723 0.0 802
Health care and social assistance 62 5 41,909 30.3 206,084 12.6 3,163,939,301 10.5 1,181
Ambulatory health care services 621 1 1 0.0 19 0.0 397,608 0.0 1,610
Ambulatory health care services 621 5 11,110 8.0 97,421 6.0 1,761,893,265 5.9 1,391
Hospitals 622 1 1 0.0 16 0.0 382,821 0.0 1,803
Hospitals 622 2 18 0.0 5,855 0.4 111,741,542 0.4 1,468
Hospitals 622 5 105 0.1 33,033 2.0 730,550,641 2.4 1,701
Nursing and residential care facilities 623 5 939 0.7 26,171 1.6 343,343,488 1.1 1,009
Social assistance 624 3 4 0.0 85 0.0 886,723 0.0 802
Social assistance 624 5 29,755 21.5 49,459 3.0 328,151,907 1.1 510
Arts, entertainment, and recreation 71 3 20 0.0 1,440 0.1 12,003,306 0.0 641
Arts, entertainment, and recreation 71 5 1,742 1.3 50,545 3.1 535,383,673 1.8 815
Performing arts and spectator sports 711 3 2 0.0 357 0.0 2,857,813 0.0 616
Performing arts and spectator sports 711 5 793 0.6 6,418 0.4 155,676,087 0.5 1,866
Museums, historical sites, zoos, and parks 712 3 1 0.0 14 0.0 101,549 0.0 545
Museums, historical sites, zoos, and parks 712 5 34 0.0 496 0.0 6,199,969 0.0 961
Amusements, gambling, and recreation 713 3 17 0.0 1,069 0.1 9,043,944 0.0 651
Amusements, gambling, and recreation 713 5 915 0.7 43,631 2.7 373,507,617 1.2 659
Accommodation and food services 72 1 1 0.0 43 0.0 258,398 0.0 462
Accommodation and food services 72 3 2 0.0 101 0.0 963,858 0.0 732
Accommodation and food services 72 5 8,532 6.2 167,565 10.3 1,334,916,990 4.4 613
Accommodation 721 1 1 0.0 43 0.0 258,398 0.0 462
Accommodation 721 5 610 0.4 22,604 1.4 265,838,781 0.9 905
Food services and drinking places 722 3 2 0.0 101 0.0 963,858 0.0 732
Food services and drinking places 722 5 7,922 5.7 144,961 8.9 1,069,078,209 3.6 567
Other services, except public administration 81 3 6 0.0 227 0.0 4,403,065 0.0 1,492
Other services, except public administration 81 5 8,229 6.0 49,595 3.0 556,583,248 1.8 863
Repair and maintenance 811 3 2 0.0 110 0.0 1,818,908 0.0 1,268
Repair and maintenance 811 5 2,342 1.7 15,366 0.9 220,772,377 0.7 1,105
Personal and laundry services 812 3 2 0.0 84 0.0 1,611,209 0.0 1,481
Personal and laundry services 812 5 3,198 2.3 18,584 1.1 149,600,973 0.5 619
Membership associations and organizations 813 3 2 0.0 33 0.0 972,948 0.0 2,268
Membership associations and organizations 813 5 1,212 0.9 13,687 0.8 166,628,551 0.6 937
Private households 814 5 1,477 1.1 1,957 0.1 19,581,347 0.1 770
Public administration 92 1 65 0.0 5,390 0.3 158,562,916 0.5 2,263
Public administration 92 2 160 0.1 4,621 0.3 95,843,769 0.3 1,595
Public administration 92 3 113 0.1 33,606 2.1 818,048,221 2.7 1,872
Executive, legislative and general government 921 1 7 0.0 725 0.0 22,421,903 0.1 2,380
Executive, legislative and general government 921 2 6 0.0 217 0.0 5,376,694 0.0 1,909
Executive, legislative and general government 921 3 67 0.0 17,890 1.1 348,139,099 1.2 1,497
Justice, public order, and safety activities 922 1 16 0.0 875 0.1 31,585,014 0.1 2,778
Justice, public order, and safety activities 922 2 12 0.0 395 0.0 7,416,032 0.0 1,444
Justice, public order, and safety activities 922 3 26 0.0 13,360 0.8 416,906,062 1.4 2,400
Administration of human resource programs 923 1 12 0.0 603 0.0 18,132,805 0.1 2,312
Administration of human resource programs 923 2 36 0.0 1,649 0.1 36,277,267 0.1 1,692
Administration of human resource programs 923 3 3 0.0 1,597 0.1 38,474,594 0.1 1,853
Administration of environmental programs 924 1 2 0.0 17 0.0 470,784 0.0 2,130
Administration of environmental programs 924 2 14 0.0 593 0.0 4,923,380 0.0 639
Administration of environmental programs 924 3 7 0.0 524 0.0 9,822,633 0.0 1,443
Community and housing program administration 925 1 1 0.0 157 0.0 5,117,511 0.0 2,502
Community and housing program administration 925 2 1 0.0 35 0.0 848,125 0.0 1,846
Community and housing program administration 925 3 7 0.0 196 0.0 3,836,521 0.0 1,508
Administration of economic programs 926 1 14 0.0 659 0.0 13,011,062 0.0 1,519
Administration of economic programs 926 2 90 0.1 1,693 0.1 40,478,559 0.1 1,840
Administration of economic programs 926 3 3 0.0 40 0.0 869,312 0.0 1,686
Space research and technology 927 1 1 0.0 1 0.0 43,585 0.0 3,353
National security and international affairs 928 1 12 0.0 2,353 0.1 67,780,252 0.2 2,216
National security and international affairs 928 2 1 0.0 40 0.0 523,712 0.0 1,007
Unclassified establishments 99 5 262 0.2 274 0.0 3,945,855 0.0 1,109
Unclassified establishments 999 5 262 0.2 274 0.0 3,945,855 0.0 1,109

4.1 Census Tract Demographic-Economic Characteristics .. goto topics
There are 583 tracts in this county; see their characteristics in the table below. The subject matter columns in this table are customizable and based on the subject matter items file used/selected. The file C:\dede\api_items_acs21_base.dbf has been written to your computer and used to develop the following table. See about census tracts .. additional tract data resources
GEOID TOTPOPA21 MPOPA21 FPOPA21 WHITE1A21 BLACK1A21 AIAN1A21 ASIAN1A21 NHOPI1A21 OTHER1A21 MULTIA21 HISPA21 POP65UPA21 POPHHA21 HHA21 FAMA21 POP25UPA21 HSGRADMA21 HSGRADFA21 TOTHSGA21 OWNOCCA21 RNTOCCA21 VACANTA21 MHIA21 MFIA21 MHVA21 MDRENTA21 GINIA21
06059001101 5,031 2,368 2,663 3,439 123 122 496 0 643 208 2,497 780 4,989 1,460 1,145 3,410 370 241 1,460 1,068 392 0 100,357 105,875 616,500 1,493 0
06059001102 3,237 1,605 1,632 2,080 115 22 479 0 278 263 1,481 434 3,217 1,060 830 2,124 298 278 1,060 611 449 0 86,111 86,167 561,200 1,352 0
06059001103 4,594 2,303 2,291 2,621 178 13 514 0 944 324 2,675 589 4,287 1,369 1,077 2,882 513 389 1,369 571 798 50 72,344 81,780 587,400 1,511 0
06059001201 5,594 2,748 2,846 2,196 35 48 224 0 2,923 168 4,520 421 5,576 1,427 1,225 3,206 462 450 1,427 526 901 0 62,033 61,047 457,200 1,512 0
06059001202 3,662 1,875 1,787 2,364 0 28 66 0 1,097 107 3,127 457 3,662 901 746 2,349 326 409 901 428 473 0 68,024 58,864 464,900 1,590 0
06059001301 6,519 3,287 3,232 3,870 48 18 1,206 0 1,056 321 3,268 883 6,510 2,618 1,606 4,737 614 473 2,618 1,695 923 0 71,579 84,948 439,600 1,683 0
06059001303 5,884 2,891 2,993 3,350 129 60 788 0 1,266 291 3,655 680 5,868 1,774 1,258 4,130 426 432 1,774 966 808 51 85,343 79,615 434,200 1,621 0
06059001304 3,982 1,832 2,150 1,961 57 32 332 0 1,528 72 2,982 492 3,982 1,098 784 2,711 299 590 1,098 563 535 78 68,601 69,872 162,500 1,660 0
06059001401 4,495 2,081 2,414 2,544 17 8 359 0 1,347 220 2,607 715 4,493 1,394 1,134 3,042 187 436 1,394 727 667 258 74,688 77,344 619,200 1,238 0
06059001402 5,023 2,488 2,535 2,954 56 60 408 0 1,437 108 2,966 484 5,012 1,484 1,227 3,223 217 403 1,484 769 715 20 90,119 97,788 588,900 1,651 0
06059001403 3,023 1,629 1,394 2,417 56 41 193 0 198 118 1,140 467 2,988 964 779 2,106 365 201 964 864 100 65 103,611 112,361 637,200 2,199 0
06059001404 3,934 2,101 1,833 2,138 26 27 128 0 1,521 94 3,189 205 3,926 955 757 2,304 391 163 955 563 392 43 60,563 50,855 408,400 1,628 0
06059001501 5,792 2,645 3,147 4,078 2 0 1,292 0 263 157 1,294 1,446 5,781 2,333 1,696 4,412 380 450 2,333 2,139 194 43 91,610 116,538 531,400 2,700 0
06059001503 5,049 2,429 2,620 3,774 91 186 593 80 119 206 1,749 636 4,992 1,676 1,345 3,302 146 254 1,676 921 755 92 93,868 103,569 638,500 1,742 0
06059001504 4,844 2,410 2,434 3,769 16 0 495 0 396 168 2,755 714 4,844 1,704 1,078 3,346 514 435 1,704 720 984 84 77,824 81,833 560,300 1,628 0
06059001505 6,931 3,164 3,767 4,518 170 0 1,299 0 525 419 1,709 872 6,918 2,384 1,865 4,804 348 369 2,384 1,794 590 67 126,250 135,199 656,600 2,078 0
06059001506 4,286 2,029 2,257 2,966 44 4 1,156 0 10 106 1,175 992 4,272 1,614 1,108 2,967 158 316 1,614 1,072 542 19 88,684 96,912 686,500 1,156 0
06059001507 4,745 2,206 2,539 3,315 95 68 976 0 132 159 1,386 489 4,737 1,943 1,017 3,081 225 213 1,943 689 1,254 84 82,969 97,321 494,400 1,839 0
06059001601 7,986 3,922 4,064 5,060 121 0 1,753 28 850 174 2,296 1,721 7,611 2,699 2,073 5,619 409 416 2,699 1,852 847 196 113,413 145,898 792,000 1,641 0
06059001602 4,924 2,503 2,421 2,934 14 18 1,611 9 71 267 680 942 4,884 1,768 1,284 3,637 167 155 1,768 1,481 287 65 129,688 160,909 864,200 2,000 0
06059001704 8,256 4,227 4,029 1,969 215 26 5,693 0 118 235 703 1,139 8,250 2,511 2,112 5,555 187 249 2,511 1,629 882 103 121,079 144,286 828,200 2,455 0
06059001705 4,002 1,811 2,191 2,345 44 36 798 0 637 142 1,614 640 3,983 1,269 1,013 2,691 212 264 1,269 877 392 103 98,375 106,601 664,100 1,678 0
06059001706 3,648 1,737 1,911 2,227 5 0 1,191 0 63 162 329 1,186 3,430 1,279 987 3,083 151 285 1,279 1,079 200 83 141,597 197,431 1,042,400 1,441 0
06059001707 7,291 3,345 3,946 1,655 73 19 4,949 0 258 337 1,125 1,189 7,291 2,509 2,052 5,764 209 208 2,509 1,975 534 0 133,993 159,487 810,100 2,500 0
06059001708 3,619 1,661 1,958 2,095 0 8 1,430 0 86 0 774 862 3,603 1,226 924 2,813 164 200 1,226 1,045 181 42 93,036 122,283 719,300 1,777 0
06059001801 5,510 2,986 2,524 3,489 136 31 490 31 1,203 130 3,773 423 5,488 1,550 1,223 3,323 679 470 1,550 383 1,167 55 63,179 54,754 449,300 1,494 0
06059001802 7,823 3,788 4,035 5,258 114 0 832 0 1,134 485 5,618 586 7,780 2,151 1,672 4,831 712 659 2,151 797 1,354 95 55,236 57,750 457,600 1,447 0
06059001901 2,552 1,301 1,251 1,571 63 6 436 8 282 186 1,307 315 2,544 802 594 1,719 212 231 802 588 214 5 84,583 86,618 552,400 1,776 0
06059001902 3,213 1,732 1,481 1,953 142 0 507 39 498 74 1,647 343 2,949 774 597 2,115 299 176 774 523 251 16 88,750 97,917 576,400 1,841 0
06059001903 3,713 1,816 1,897 1,583 58 0 620 0 1,340 112 2,377 303 3,684 911 787 2,338 239 293 911 556 355 37 84,375 92,891 533,900 1,743 0
06059011000 6,077 3,184 2,893 4,210 134 8 1,074 0 202 449 2,131 1,212 6,038 2,445 1,627 4,854 724 604 2,445 1,442 1,003 66 71,910 77,185 598,600 1,456 0
06059011101 4,191 2,143 2,048 2,571 79 210 417 73 698 143 2,370 439 4,180 1,312 938 2,681 401 248 1,312 688 624 53 73,654 91,890 572,700 1,400 0
06059011102 4,134 2,071 2,063 2,419 195 22 577 109 584 228 1,743 480 4,043 1,208 831 2,670 386 271 1,208 898 310 35 95,326 114,034 548,500 1,414 0
06059011200 4,374 2,226 2,148 2,786 81 0 581 0 587 339 1,536 738 4,290 1,638 1,095 2,910 236 300 1,638 762 876 49 71,337 100,917 600,200 1,364 0
06059011300 5,153 2,718 2,435 3,457 325 75 557 0 186 553 1,005 633 4,934 2,137 1,144 4,029 465 202 2,137 491 1,646 335 82,390 78,750 703,300 1,891 0
06059011401 2,219 1,082 1,137 1,751 68 5 175 0 111 109 610 328 2,100 734 516 1,441 42 108 734 423 311 20 78,500 101,071 716,400 1,628 0
06059011402 2,608 1,240 1,368 1,963 68 0 343 0 57 177 590 400 2,590 816 682 1,815 83 168 816 710 106 41 114,500 123,000 694,400 2,664 0
06059011403 6,654 3,381 3,273 4,867 139 24 557 0 684 383 3,740 663 6,511 1,936 1,418 4,043 507 294 1,936 693 1,243 115 67,604 67,143 571,900 1,603 0
06059011502 4,485 2,329 2,156 3,157 139 0 743 0 240 206 2,073 432 4,364 1,440 897 2,883 396 348 1,440 571 869 39 70,321 80,363 550,100 1,400 0
06059011503 1,839 938 901 1,309 10 0 437 0 20 63 327 383 1,712 540 397 1,281 125 101 540 377 163 30 104,625 119,688 653,400 2,861 0
06059011504 5,916 2,563 3,353 3,800 264 19 1,286 0 260 287 2,106 225 4,598 2,016 750 2,387 201 208 2,016 220 1,796 189 41,319 49,787 374,400 1,691 0
06059011601 8,430 4,142 4,288 4,618 482 45 499 21 2,506 259 6,383 692 8,411 2,302 1,601 4,785 490 488 2,302 420 1,882 63 51,780 50,950 488,600 1,491 0
06059011602 5,314 2,488 2,826 3,611 94 0 247 0 1,302 60 4,240 743 5,306 1,449 1,073 3,426 577 477 1,449 581 868 29 53,556 54,858 291,400 1,706 0
06059011707 5,911 2,588 3,323 3,887 94 0 1,362 0 157 411 885 902 5,900 2,373 1,570 4,022 276 233 2,373 1,475 898 86 86,006 116,591 606,600 2,023 1
06059011708 4,566 2,385 2,181 3,196 119 7 830 0 138 276 1,295 292 4,483 1,648 841 2,919 192 145 1,648 415 1,233 339 63,061 81,506 632,800 1,736 0
06059011709 4,610 2,280 2,330 3,641 84 9 652 13 79 132 1,028 878 4,547 1,426 1,230 3,241 143 205 1,426 1,247 179 26 131,607 148,065 720,000 2,544 0
06059011710 3,455 1,752 1,703 2,479 38 11 591 0 143 193 785 619 3,438 1,175 897 2,444 82 213 1,175 955 220 63 110,875 114,646 687,600 1,833 0
06059011711 7,878 4,364 3,514 5,475 245 26 758 57 733 584 4,599 649 7,694 2,644 1,612 4,777 337 478 2,644 515 2,129 134 64,583 75,608 459,200 1,574 0
06059011712 4,734 2,382 2,352 3,227 63 0 781 0 365 298 2,543 540 4,633 1,588 1,044 3,107 248 248 1,588 809 779 0 62,167 79,868 593,000 1,645 0
06059011714 898 465 433 501 96 0 128 0 115 58 388 25 898 394 234 593 30 36 394 10 384 9 70,769 83,229 -6 2,116 0
06059011715 6,437 3,091 3,346 4,687 188 12 1,104 2 257 187 1,459 1,464 6,352 2,464 1,738 4,676 288 521 2,464 1,723 741 36 90,125 119,398 648,600 1,842 0
06059011716 5,223 2,743 2,480 2,688 11 12 2,012 46 188 266 1,466 821 5,223 1,624 1,412 3,443 147 184 1,624 1,358 266 24 149,583 157,422 730,300 2,686 0
06059011717 2,680 1,211 1,469 2,135 43 0 377 0 53 72 574 533 2,664 903 720 1,862 135 188 903 670 233 37 93,304 113,393 656,000 2,028 0
06059011718 3,458 1,708 1,750 2,760 3 0 454 0 40 201 787 658 3,393 1,070 966 2,474 226 213 1,070 1,003 67 39 117,969 119,609 625,800 3,059 0
06059011720 6,573 3,296 3,277 4,637 113 0 277 67 1,256 223 5,839 260 6,561 1,505 1,287 3,350 381 283 1,505 261 1,244 36 46,148 37,472 444,100 1,532 0
06059011721 5,364 2,551 2,813 4,177 121 246 306 13 332 169 4,025 335 5,364 1,473 1,031 3,143 314 325 1,473 460 1,013 61 64,531 69,943 403,800 1,646 0
06059011722 2,259 1,038 1,221 1,411 71 20 435 0 193 129 820 823 2,259 1,054 522 1,844 105 260 1,054 625 429 50 48,929 90,417 506,400 1,191 1
06059021802 6,981 3,206 3,775 6,017 22 1 688 0 88 165 1,509 1,589 6,846 2,577 1,731 4,929 320 321 2,577 1,352 1,225 94 85,121 119,276 774,500 1,546 0
06059021807 4,438 2,400 2,038 3,404 81 12 503 0 328 110 1,582 716 4,419 1,362 1,171 3,259 412 339 1,362 1,079 283 0 104,750 107,188 620,400 1,914 0
06059021809 3,188 1,526 1,662 2,468 29 10 463 0 16 202 453 706 3,159 1,079 906 2,392 173 182 1,079 818 261 31 135,335 154,839 776,300 1,458 0
06059021810 3,570 1,767 1,803 2,825 110 0 485 2 27 121 780 651 3,538 1,167 952 2,564 249 180 1,167 987 180 38 112,546 122,000 641,800 2,673 0
06059021812 6,535 3,452 3,083 5,577 19 41 541 0 144 213 2,092 814 6,529 2,106 1,591 4,479 442 507 2,106 1,481 625 101 125,500 130,237 615,300 1,986 0
06059021813 4 0 4 4 0 0 0 0 0 0 4 0 4 4 0 4 0 0 4 4 0 8 -6 -6 -6 -6 -6
06059021814 7,192 3,496 3,696 4,699 387 19 1,424 0 189 474 1,763 980 7,192 2,602 1,860 5,267 289 382 2,602 1,538 1,064 97 96,313 117,700 722,900 1,881 0
06059021815 11,591 5,490 6,101 6,002 270 42 4,579 0 199 499 1,779 1,362 11,591 3,873 3,257 7,620 408 387 3,873 3,108 765 304 129,294 146,497 819,500 2,328 0
06059021816 4,966 2,465 2,501 3,988 0 24 365 0 194 395 1,044 960 4,932 1,724 1,431 3,429 220 302 1,724 1,480 244 84 113,393 121,563 758,300 2,833 0
06059021817 3,848 1,856 1,992 3,382 0 18 239 16 18 175 1,099 636 3,848 1,272 980 2,490 121 216 1,272 1,023 249 0 98,846 109,643 522,600 2,460 0
06059021820 4,259 2,125 2,134 3,134 90 0 809 0 121 105 864 693 4,236 1,407 1,216 3,011 158 231 1,407 1,217 190 0 139,948 150,109 780,600 2,206 0
06059021821 7,772 4,106 3,666 4,882 328 88 1,817 0 361 296 2,302 408 7,772 2,578 1,858 5,282 744 336 2,578 1,434 1,144 56 101,023 101,136 542,900 2,092 0
06059021822 9,543 4,632 4,911 5,320 129 0 3,451 13 214 416 1,001 1,467 9,498 3,002 2,630 6,579 265 530 3,002 2,617 385 196 144,817 168,594 995,100 3,371 0
06059021823 4,238 2,078 2,160 3,052 0 38 936 22 114 76 750 543 4,217 1,316 1,137 2,950 246 178 1,316 1,147 169 0 131,515 137,875 714,800 3,189 0
06059021824 2,782 1,393 1,389 2,201 0 3 318 0 12 248 408 486 2,782 850 811 1,928 114 155 850 773 77 19 153,816 154,276 902,200 3,232 0
06059021825 2,940 1,474 1,466 2,037 51 0 697 0 45 110 403 659 2,940 1,067 811 2,107 134 135 1,067 894 173 46 123,194 156,806 1,061,600 1,153 1
06059021826 2,806 1,260 1,546 2,089 184 9 452 0 11 61 545 211 2,795 1,070 695 1,775 109 225 1,070 510 560 32 76,019 79,764 570,500 1,933 0
06059021827 3,064 1,516 1,548 1,994 80 0 854 0 19 117 667 485 3,064 988 826 2,166 79 79 988 900 88 87 139,706 141,413 928,500 1,890 0
06059021828 4,146 2,048 2,098 2,651 59 0 1,093 20 181 142 861 730 4,146 1,324 1,198 2,940 148 181 1,324 1,305 19 0 170,909 181,121 903,000 -6 0
06059021829 5,278 2,641 2,637 3,451 28 0 1,692 0 38 69 716 1,335 5,265 1,742 1,568 3,996 134 213 1,742 1,623 119 64 170,345 173,448 970,900 3,501 0
06059021830 5,943 2,883 3,060 4,621 43 0 895 0 50 334 764 1,127 5,943 2,036 1,769 4,303 232 200 2,036 1,935 101 0 156,667 165,694 858,900 3,153 0
06059021903 3,825 1,777 2,048 3,003 51 0 575 0 59 137 1,284 640 3,772 1,190 832 2,619 357 298 1,190 968 222 45 97,083 103,478 645,300 2,284 0
06059021905 5,145 2,569 2,576 3,731 201 7 756 56 231 163 1,219 1,094 5,145 1,757 1,355 3,775 171 279 1,757 1,517 240 20 120,027 133,813 687,600 1,758 0
06059021912 4,365 2,090 2,275 3,228 0 0 818 0 173 146 618 876 4,365 1,487 1,239 3,134 121 214 1,487 1,377 110 9 166,719 183,315 925,100 3,501 0
06059021913 7,435 3,852 3,583 5,396 17 8 908 0 996 110 4,682 839 7,360 1,903 1,659 5,009 490 403 1,903 1,170 733 69 87,477 84,861 635,900 1,878 0
06059021914 4,306 2,202 2,104 3,339 126 15 363 1 311 151 1,471 715 4,257 1,373 1,098 2,992 172 187 1,373 1,036 337 41 120,189 108,088 717,200 1,908 0
06059021915 3,997 1,906 2,091 2,825 18 0 898 0 44 212 830 1,085 3,976 1,402 1,110 2,977 139 332 1,402 1,245 157 62 126,778 132,143 847,700 2,315 0
06059021916 3,308 1,570 1,738 2,473 0 0 762 0 29 44 249 1,024 3,280 1,304 933 2,681 133 216 1,304 1,067 237 72 127,500 163,456 812,200 2,446 0
06059021917 3,221 1,465 1,756 2,726 31 9 281 0 49 125 405 701 3,210 1,103 913 2,389 123 151 1,103 1,016 87 69 139,208 161,189 939,000 2,926 0
06059021918 4,710 2,110 2,600 3,543 0 0 524 0 301 342 1,208 893 4,572 1,679 1,206 3,659 253 332 1,679 1,465 214 95 99,795 120,833 590,300 2,147 0
06059021919 2,825 1,408 1,417 2,131 36 0 385 0 75 198 387 579 2,800 982 759 2,102 85 209 982 822 160 0 134,000 137,417 838,400 2,555 0
06059021920 7,041 3,328 3,713 4,920 90 0 1,648 0 33 350 1,243 1,198 7,041 2,564 1,937 5,058 161 274 2,564 2,209 355 0 123,838 148,340 705,300 3,053 0
06059021921 4,217 2,023 2,194 2,746 135 0 1,076 0 59 201 558 712 4,217 1,455 1,281 3,012 113 189 1,455 1,407 48 0 170,625 178,173 928,100 3,292 0
06059021922 4,841 2,271 2,570 3,407 155 0 905 0 52 322 853 808 4,841 2,250 1,241 3,690 240 289 2,250 1,345 905 69 104,844 124,665 598,800 1,924 0
06059021923 7,141 3,426 3,715 4,662 173 0 1,550 0 328 428 1,309 778 7,141 2,401 2,021 4,831 192 341 2,401 1,909 492 0 135,659 135,750 630,100 2,491 0
06059021924 4,314 2,018 2,296 2,659 101 0 1,152 16 129 257 781 457 4,314 1,443 1,196 2,892 195 87 1,443 1,002 441 37 132,386 142,105 732,900 2,217 0
06059032002 6,833 3,337 3,496 5,643 45 0 595 39 245 266 1,284 1,241 6,637 2,062 1,676 4,812 254 228 2,062 1,637 425 41 139,949 148,565 676,700 2,825 0
06059032003 4,824 2,451 2,373 3,785 80 83 483 13 146 234 725 964 4,684 1,547 1,318 3,521 213 185 1,547 1,471 76 30 147,284 157,500 711,500 3,304 0
06059032011 1,639 811 828 1,520 6 10 10 0 27 66 301 362 1,625 663 440 1,288 93 142 663 593 70 90 102,031 108,393 644,400 1,625 0
06059032012 4,104 2,061 2,043 3,336 19 8 298 0 141 302 828 879 4,020 1,286 1,119 2,833 287 168 1,286 1,093 193 31 131,724 139,598 736,700 1,910 0
06059032013 5,275 2,450 2,825 3,807 130 0 567 0 227 544 672 1,579 5,105 2,192 1,414 3,907 276 430 2,192 1,044 1,148 185 95,735 120,735 740,600 1,977 1
06059032014 6,397 3,169 3,228 3,661 176 219 686 0 1,399 256 2,969 1,553 6,183 2,087 1,334 4,744 439 514 2,087 1,398 689 33 57,352 68,971 273,300 1,678 0
06059032015 6,679 3,391 3,288 4,932 48 30 1,201 26 155 287 1,041 1,779 5,854 1,906 1,444 5,005 477 504 1,906 1,623 283 50 130,417 137,143 711,400 2,255 0
06059032020 5,890 3,146 2,744 4,594 56 12 688 0 168 372 1,006 857 5,890 1,917 1,695 4,080 247 335 1,917 1,631 286 43 142,361 145,655 737,300 2,826 0
06059032022 6,792 3,375 3,417 4,764 186 119 631 0 797 295 3,252 912 6,706 2,123 1,559 4,732 575 526 2,123 1,005 1,118 318 75,781 75,576 544,000 1,872 0
06059032023 15,339 7,437 7,902 12,882 245 36 915 0 440 821 2,096 1,895 15,339 4,898 4,341 9,462 339 610 4,898 4,064 834 262 163,454 165,710 926,400 2,571 0
06059032027 6,583 3,365 3,218 4,239