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

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 Greenville County, SC.
.. See more details using the table of contents below this summary.

Greenville County, SC is part of the Greenville-Anderson, SC metro/CBSA (24860). Component counties:

CodeArea NamePopulation
2020		Population
2021		Change
2020-21		%Change
2020-21
45007  Anderson County, SC 204,032 206,908 2,876 1.4
45045  Greenville County, SC 526,980 533,834 6,854 1.3
45059  Laurens County, SC 67,551 67,803 252 0.4
45077  Pickens County, SC 131,602 132,229 627 0.5

Residential Construction. August 2022 new authorized residential construction was 305 total units with total value of $86,457,393 compared to August 2021 382 total units with total value of $64,451,740. 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 195,637 (2010) to 222,243 (2020), a change of 26,606 (13.6%). See details on occupied/vacant units, tenure, value, rent and related in Section 2.4.2. below.

Population & Components of Change. During the period 2010 to 2020, the population of Greenville County, SC changed from 452,688 (2010) to 532,486 (2020), a change of 79,798 (17.6%).

Components of population change during the 2010-2020 period were births 62,392, deaths 42,203, and net migration 59,324. The population natural increase, births less deaths, was 20,189.

The 7/1/20 model-based population estimate was 526,980 compared to the 7/1/21 model-based population estimate of 533,834. Components of change over the year were births 5,996, deaths 5,456, international migration 774, domestic migration 5,507. The net migration was 6,281. The natural increase was 540.

Income. The median household income changed from $45,666 in 2010 to $62,475, a change of $16,809 ( 36.8%).

Poverty. The number of people in poverty (all ages) changed from 68,073 in 2010 to 63,371, a change of -4,702 ( -6.9%). The poverty rate (all ages) changed from 15.4 in 2010 to 12.1, a change of -3.3 ( -21.4%).

Greenville city .. the largest city in Greenville County, SC. The 7/1/20 model-based population estimate of Greenville city was 70,633 compared to the 7/1/21 model-based population estimate of 70,899, a change of 266 or 0.4%. See more about Greenville city. See details about other cities in Section 1.2. below.

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

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

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

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

Income & Poverty: 2010-2020
For most counties, median household income (MHI) has increased between 2010 and 2020, while the poverty rate has decreased.
This is due in part to Federal stimulus funds transfer payments in 2020. This section presents income and poverty data for each year 2010-2020 for this county, corresponding state and the U.S. This is the only Federal source of current estimate of MHI and poverty for all counties.

Greenville County
YearMed HH IncAges 0-17
in Poverty		Ages 0-17
Poverty Rate		Ages 0-17
Universe		Ages 5-17
in Families
in Poverty		Ages 5-17
in Families
Poverty Rate		Ages 5-17
in Families
Universe		All Ages
in Poverty		All Ages
Poverty Rate		All Ages
Universe
2010$45,66622,72321.0108,01114,58118.976,98268,07315.4440,866
2011$48,48027,35424.8110,23917,86123.077,67871,21215.8449,438
2012$47,04425,70823.2110,69816,72021.278,76674,26816.3456,003
2013$49,47627,13524.5110,76618,21422.879,86874,91316.2462,168
2014$49,65924,05521.5111,73316,46520.480,81169,14014.7470,689
2015$52,01719,97617.7112,91014,31717.581,90366,29913.8479,177
2016$55,45217,51815.3114,43811,42013.882,82753,11310.9487,338
2017$56,31120,24717.5115,92314,74217.584,03061,20012.4495,490
2018$61,16217,09314.6116,77011,43613.485,14655,83711.1503,035
2019$64,39917,43814.8117,43412,58014.785,60254,81510.7511,874
2020$62,47518,88715.8119,67112,18813.987,68063,37112.1521,893

South Carolina
YearMed HH IncAges 0-17
in Poverty		Ages 0-17
Poverty Rate		Ages 0-17
Universe		Ages 5-17
in Families
in Poverty		Ages 5-17
in Families
Poverty Rate		Ages 5-17
in Families
Universe		All Ages
in Poverty		All Ages
Poverty Rate		All Ages
Universe
2010$42,117276,63726.01,063,825180,28623.6762,924813,93918.14,493,882
2011$42,477292,83527.51,065,797194,48825.4764,640852,99918.84,538,319
2012$43,290285,67426.81,067,825192,33824.9771,371837,32718.34,585,462
2013$44,310290,34627.31,063,159194,63925.2772,521858,55318.54,631,792
2014$45,337281,73826.41,067,825195,41525.1778,427838,06517.94,691,566
2015$47,308260,64624.41,069,113184,21423.5783,724796,60916.84,750,107
2016$49,587249,10823.01,080,758172,27221.8790,003739,57415.34,820,435
2017$50,675242,81922.31,086,644169,62221.3794,644750,35915.44,882,684
2018$52,449241,19222.11,089,131170,54321.3800,634750,58215.24,944,734
2019$56,360216,17519.91,085,786151,48519.0799,045695,25913.95,003,261
2020$57,216205,77518.71,100,958144,35117.8812,626703,00413.85,085,371

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 Greenville County, SC to other areas using this interactive table.

Examine GDP components and compare Greenville County, SC to other areas using this interactive table.

02. How & Why Greenville County, SC is Changing .. goto topics
Greenville County, SC (45045), part of Greenville-Anderson, SC MSA (24860), changed in population from 452,688 (2010) to 532,486 (2020), a change of 79,798 (17.6%).
Factors accounting the change over the decade 2010 to 2020 include:
  • Births 2010-2020: 62,392
  • Deaths 2010-2020: 42,203
  • Natural Increase 2010-2020: 20,189
  • Net Migration 2010-2020: 59,324

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

Population 7/1/20 526,980
  Births 6/30/19-7/1/20 6,068
  Deaths 6/30/19-7/1/20 5,432
  Natural Increase 6/30/19-7/1/20 636
  International Migration 6/30/19-7/1/20 216
  Domestic Migration 6/30/19-7/1/20 4,908
  Net Migration 6/30/19-7/1/20 5,124
 
Population 7/1/21 533,834
  Births 6/30/20-7/1/21 5,996
  Deaths 6/30/20-7/1/21 5,456
  Natural Increase 6/30/20-7/1/21 540
  International Migration 6/30/20-7/1/21 774
  Domestic Migration 6/30/20-7/1/21 5,507
  Net Migration 6/30/20-7/1/21 6,281

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
Greenville County, SC .. 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 451,225 100.0 525,534 100.0 74,309 16.5
  One race 442,755 98.1 488,299 92.9 45,544 10.3
    White alone 333,084 73.8 353,260 67.2 20,176 6.1
    Black alone 81,497 18.1 88,181 16.8 6,684 8.2
    American India/Alaskan Native alone 1,401 0.3 2,437 0.5 1,036 73.9
    Asian alone 8,849 2.0 12,981 2.5 4,132 46.7
    Native Hawaiian and Other Pacific Islander alone 257 0.1 429 0.1 172 66.9
    Other race 17,667 3.9 31,011 5.9 13,344 75.5
  Two or more races 8,470 1.9 37,235 7.1 28,765 339.6
  White, Non-Hispanic 317,197 70.3 343,897 65.4 26,700 8.4
  Black Non-Hispanic 80,569 17.9 87,124 16.6 6,555 8.1
  Hispanic (of any race) 36,495 8.1 58,025 11.0 21,530 59.0
Total population, 18 years or older 341,908 75.8 406,243 77.3 64,335 18.8
  One race 338,014 74.9 382,870 72.9 44,856 13.3
    White alone 259,877 57.6 283,978 54.0 24,101 9.3
    Black alone 58,775 13.0 66,030 12.6 7,255 12.3
    American India/Alaskan Native alone 1,045 0.2 1,800 0.3 755 72.2
    Asian alone 6,501 1.4 10,045 1.9 3,544 54.5
    Native Hawaiian and Other Pacific Islander alone 183 0.0 300 0.1 117 63.9
    Other race 11,633 2.6 20,717 3.9 9,084 78.1
  Two or more races 3,894 0.9 23,373 4.4 19,479 500.2
  White, Non-Hispanic 249,258 55.2 277,944 52.9 28,686 11.5
  Black Non-Hispanic 58,199 12.9 65,441 12.5 7,242 12.4
  Hispanic (of any race) 23,937 5.3 38,369 7.3 14,432 60.3
Group Quarters population 11,854 2.6 10,444 2.0 -1,410 -11.9
  Group Quarters, institutionalized population 4,047 0.9 4,489 0.9 442 10.9
  Group Quarters, noninstitutionalized population 7,807 1.7 5,955 1.1 -1,852 -23.7
Housing Units 195,462 100.0 226,215 100.0 30,753 15.7
  Occupied 176,531 90.3 209,082 92.4 32,551 18.4
  Vacant 18,931 9.7 17,133 7.6 -1,798 -9.5


1.1 Population & Components of Change .. goto topics
Based on Census Bureau model-based population estimates, the Greenville County, SC population changed from 452,688 in 2010 to 532,486 in 2020, a change of 79,798 (17.6%).
Population/Component 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Population 452,688 458,972 466,172 473,196 481,737 491,218 499,595 507,484 515,572 524,748 532,486
Births 1,536 6,103 6,105 6,035 6,202 6,415 6,355 6,325 6,307 6,269 6,276
Deaths 814 3,741 3,745 3,954 3,966 4,164 4,261 4,427 4,479 4,572 4,894
Natural Increase 722 2,362 2,360 2,081 2,236 2,251 2,094 1,898 1,828 1,697 1,382
Net Migration 779 3,914 4,785 4,895 6,211 7,183 6,271 5,985 6,254 7,478 6,348
    International 181 743 795 883 1,182 1,415 1,392 1,639 1,866 1,860 1,499
    Domestic 1,499 598 3,171 3,990 4,012 5,029 5,768 4,879 4,346 4,388 5,618
Group Quarters 11,854 11,718 11,441 11,418 11,333 11,145 10,986 10,848 10,749 10,607 10,465

Examine population estimates/components of change and compare Greenville County, SC 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
Greer city (part) 4530985 19,053 19,379 19,759 20,149 20,601 21,132 21,600 22,970 23,708 24,641  
Fountain Inn city (part) 4527070 5,939 6,061 6,125 6,197 6,312 6,463 6,653 6,812 7,901 8,229  
Greenville city 4530850 59,414 59,810 60,171 60,625 61,505 63,606 67,134 68,474 68,849 70,635  
Mauldin city 4545115 23,242 23,540 23,990 24,385 24,735 25,041 25,119 25,194 25,265 25,409  
Simpsonville city 4566580 18,488 18,817 19,184 19,567 20,085 20,701 21,310 22,014 22,982 24,221  
Travelers Rest city 4572430 4,612 4,684 4,760 4,821 4,902 4,980 5,045 5,110 5,255 5,346  
Balance of Greenville County 4599990 321,949 326,625 332,073 337,270 343,345 348,977 352,261 356,257 360,661 365,061  

Examine city/place population estimates and compare places in Greenville County, SC to other areas using this interactive table.
.. use the county code 45045 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 748 mover partner areas for Greenville County, SC. There were a total inbound movers of 38331 and a total outbound movers of 29567, for a net movers of 4106 (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_45045.dbf.
Residence 1 Year Age Geocode Moved to 45045 Moved from 45045 Net Movers
Africa null 135 null null
Asia null 1791 null null
Central America null 738 null null
Caribbean null 113 null null
Europe null 929 null null
U.S. Island Areas null 121 null null
Northern America null 463 null null
Oceania and At Sea null 85 null null
South America null 283 null null
Calhoun County, Alabama 01015 4 6 -2
Covington County, Alabama 01039 0 6 -6
Houston County, Alabama 01069 0 9 -9
Jefferson County, Alabama 01073 127 111 16
Lauderdale County, Alabama 01077 33 0 33
Lee County, Alabama 01081 145 23 122
Limestone County, Alabama 01083 21 0 21
Mobile County, Alabama 01097 0 4 -4
Pike County, Alabama 01109 0 41 -41
Tuscaloosa County, Alabama 01125 241 28 213
Anchorage Municipality, Alaska 02020 86 0 86
Fairbanks North Star Borough, Alaska 02090 30 48 -18
Kenai Peninsula Borough, Alaska 02122 0 3 -3
Southeast Fairbanks Census Area, Alaska 02240 0 1 -1
Coconino County, Arizona 04005 88 0 88
Maricopa County, Arizona 04013 14 62 -48
Pima County, Arizona 04019 64 0 64
Pinal County, Arizona 04021 0 2 -2
Benton County, Arkansas 05007 0 50 -50
Garland County, Arkansas 05051 8 0 8
Pulaski County, Arkansas 05119 13 0 13
Alameda County, California 06001 29 0 29
El Dorado County, California 06017 0 8 -8
Inyo County, California 06027 6 0 6
Lake County, California 06033 0 40 -40
Los Angeles County, California 06037 217 56 161
Orange County, California 06059 4 26 -22
Riverside County, California 06065 9 0 9
Sacramento County, California 06067 16 0 16
San Diego County, California 06073 48 8 40
San Francisco County, California 06075 5 0 5
Santa Barbara County, California 06083 0 20 -20
Santa Clara County, California 06085 32 63 -31
Siskiyou County, California 06093 0 2 -2
Adams County, Colorado 08001 245 0 245
Arapahoe County, Colorado 08005 10 38 -28
Boulder County, Colorado 08013 21 0 21
Costilla County, Colorado 08023 0 4 -4
Delta County, Colorado 08029 0 2 -2
Denver County, Colorado 08031 0 72 -72
Douglas County, Colorado 08035 26 0 26
El Paso County, Colorado 08041 31 0 31
Grand County, Colorado 08049 0 5 -5
Jefferson County, Colorado 08059 12 4 8
Larimer County, Colorado 08069 0 26 -26
Mesa County, Colorado 08077 0 1 -1
Washington County, Colorado 08121 6 0 6
Fairfield County, Connecticut 09001 21 0 21
Hartford County, Connecticut 09003 8 0 8
Litchfield County, Connecticut 09005 17 0 17
New London County, Connecticut 09011 0 33 -33
Windham County, Connecticut 09015 97 0 97
Kent County, Delaware 10001 0 31 -31
New Castle County, Delaware 10003 24 0 24
Sussex County, Delaware 10005 10 0 10
District of Columbia, District of Columbia 11001 87 10 77
Bay County, Florida 12005 12 22 -10
Brevard County, Florida 12009 78 156 -78
Broward County, Florida 12011 259 61 198
Charlotte County, Florida 12015 0 26 -26
Citrus County, Florida 12017 30 0 30
Clay County, Florida 12019 16 54 -38
Duval County, Florida 12031 105 235 -130
Escambia County, Florida 12033 111 10 101
Flagler County, Florida 12035 30 0 30
Hendry County, Florida 12051 0 22 -22
Highlands County, Florida 12055 60 0 60
Hillsborough County, Florida 12057 53 0 53
Indian River County, Florida 12061 12 0 12
Lee County, Florida 12071 10 18 -8
Leon County, Florida 12073 0 92 -92
Manatee County, Florida 12081 56 0 56
Martin County, Florida 12085 59 0 59
Miami-Dade County, Florida 12086 258 0 258
Okaloosa County, Florida 12091 12 0 12
Orange County, Florida 12095 42 269 -227
Palm Beach County, Florida 12099 237 109 128
Pasco County, Florida 12101 69 53 16
Pinellas County, Florida 12103 91 96 -5
Polk County, Florida 12105 34 58 -24
St. Johns County, Florida 12109 45 0 45
St. Lucie County, Florida 12111 0 9 -9
Sarasota County, Florida 12115 42 0 42
Sumter County, Florida 12119 74 0 74
Volusia County, Florida 12127 259 77 182
Baldwin County, Georgia 13009 23 11 12
Bartow County, Georgia 13015 18 0 18
Bryan County, Georgia 13029 0 24 -24
Bulloch County, Georgia 13031 6 0 6
Carroll County, Georgia 13045 0 1 -1
Catoosa County, Georgia 13047 0 8 -8
Chatham County, Georgia 13051 113 10 103
Clarke County, Georgia 13059 8 165 -157
Clayton County, Georgia 13063 0 10 -10
Cobb County, Georgia 13067 157 46 111
Columbia County, Georgia 13073 175 0 175
Coweta County, Georgia 13077 0 53 -53
Crawford County, Georgia 13079 0 15 -15
DeKalb County, Georgia 13089 16 53 -37
Dougherty County, Georgia 13095 9 0 9
Fayette County, Georgia 13113 0 20 -20
Floyd County, Georgia 13115 5 35 -30
Forsyth County, Georgia 13117 103 0 103
Fulton County, Georgia 13121 212 200 12
Gilmer County, Georgia 13123 0 27 -27
Glynn County, Georgia 13127 31 9 22
Gwinnett County, Georgia 13135 75 185 -110
Hall County, Georgia 13139 0 52 -52
Henry County, Georgia 13151 13 141 -128
Houston County, Georgia 13153 5 25 -20
Jackson County, Georgia 13157 21 5 16
Jenkins County, Georgia 13165 10 0 10
Laurens County, Georgia 13175 16 0 16
Monroe County, Georgia 13207 0 31 -31
Muscogee County, Georgia 13215 0 4 -4
Paulding County, Georgia 13223 5 0 5
Putnam County, Georgia 13237 0 9 -9
Richmond County, Georgia 13245 120 2 118
Rockdale County, Georgia 13247 0 129 -129
Stephens County, Georgia 13257 0 85 -85
Stewart County, Georgia 13259 0 18 -18
Telfair County, Georgia 13271 6 0 6
Towns County, Georgia 13281 19 0 19
Troup County, Georgia 13285 0 38 -38
Upson County, Georgia 13293 2 0 2
Walton County, Georgia 13297 54 0 54
Washington County, Georgia 13303 6 7 -1
Honolulu County, Hawaii 15003 175 0 175
Canyon County, Idaho 16027 0 10 -10
Nez Perce County, Idaho 16069 58 0 58
Cook County, Illinois 17031 95 82 13
DeKalb County, Illinois 17037 39 0 39
Douglas County, Illinois 17041 31 0 31
DuPage County, Illinois 17043 55 11 44
Jefferson County, Illinois 17081 0 12 -12
Kane County, Illinois 17089 20 0 20
Lake County, Illinois 17097 74 31 43
LaSalle County, Illinois 17099 58 0 58
McHenry County, Illinois 17111 15 0 15
Ogle County, Illinois 17141 43 0 43
St. Clair County, Illinois 17163 0 11 -11
Vermilion County, Illinois 17183 8 0 8
Will County, Illinois 17197 37 0 37
Winnebago County, Illinois 17201 4 48 -44
Cass County, Indiana 18017 0 14 -14
Delaware County, Indiana 18035 0 10 -10
Elkhart County, Indiana 18039 31 10 21
Hamilton County, Indiana 18057 69 18 51
Johnson County, Indiana 18081 21 0 21
Lake County, Indiana 18089 4 0 4
LaPorte County, Indiana 18091 16 0 16
Madison County, Indiana 18095 5 0 5
Marion County, Indiana 18097 0 47 -47
Monroe County, Indiana 18105 17 0 17
Porter County, Indiana 18127 13 51 -38
St. Joseph County, Indiana 18141 0 19 -19
Tippecanoe County, Indiana 18157 19 0 19
Vigo County, Indiana 18167 23 0 23
Audubon County, Iowa 19009 86 0 86
Benton County, Iowa 19011 13 0 13
Linn County, Iowa 19113 23 0 23
Pocahontas County, Iowa 19151 0 3 -3
Polk County, Iowa 19153 85 203 -118
Story County, Iowa 19169 16 2 14
Harper County, Kansas 20077 0 31 -31
Johnson County, Kansas 20091 11 0 11
Sedgwick County, Kansas 20173 42 10 32
Boone County, Kentucky 21015 13 0 13
Bullitt County, Kentucky 21029 80 0 80
Christian County, Kentucky 21047 0 19 -19
Fayette County, Kentucky 21067 21 0 21
Jefferson County, Kentucky 21111 10 34 -24
Kenton County, Kentucky 21117 116 0 116
Logan County, Kentucky 21141 21 0 21
Marshall County, Kentucky 21157 0 32 -32
Oldham County, Kentucky 21185 0 17 -17
Whitley County, Kentucky 21235 0 6 -6
Bossier Parish, Louisiana 22015 11 0 11
Calcasieu Parish, Louisiana 22019 0 21 -21
East Baton Rouge Parish, Louisiana 22033 0 83 -83
Orleans Parish, Louisiana 22071 42 12 30
Ouachita Parish, Louisiana 22073 13 0 13
Rapides Parish, Louisiana 22079 125 0 125
St. Tammany Parish, Louisiana 22103 0 13 -13
Cumberland County, Maine 23005 84 0 84
Kennebec County, Maine 23011 0 16 -16
Knox County, Maine 23013 11 0 11
Penobscot County, Maine 23019 0 9 -9
York County, Maine 23031 0 28 -28
Anne Arundel County, Maryland 24003 61 0 61
Baltimore County, Maryland 24005 16 0 16
Carroll County, Maryland 24013 102 0 102
Charles County, Maryland 24017 63 0 63
Harford County, Maryland 24025 54 0 54
Howard County, Maryland 24027 21 24 -3
Kent County, Maryland 24029 0 10 -10
Montgomery County, Maryland 24031 78 0 78
Prince George's County, Maryland 24033 8 72 -64
Talbot County, Maryland 24041 13 0 13
Wicomico County, Maryland 24045 11 0 11
Baltimore city, Maryland 24510 9 13 -4
Barnstable County, Massachusetts 25001 25 0 25
Essex County, Massachusetts 25009 28 0 28
Hampden County, Massachusetts 25013 29 0 29
Middlesex County, Massachusetts 25017 33 82 -49
Norfolk County, Massachusetts 25021 39 27 12
Plymouth County, Massachusetts 25023 69 39 30
Suffolk County, Massachusetts 25025 5 19 -14
Worcester County, Massachusetts 25027 0 68 -68
Eaton County, Michigan 26045 39 0 39
Genesee County, Michigan 26049 23 152 -129
Gladwin County, Michigan 26051 0 6 -6
Grand Traverse County, Michigan 26055 0 83 -83
Hillsdale County, Michigan 26059 19 13 6
Houghton County, Michigan 26061 124 1 123
Jackson County, Michigan 26075 43 3 40
Kalamazoo County, Michigan 26077 11 11 0
Kent County, Michigan 26081 6 0 6
Lenawee County, Michigan 26091 22 0 22
Livingston County, Michigan 26093 0 21 -21
Macomb County, Michigan 26099 21 9 12
Manistee County, Michigan 26101 0 6 -6
Marquette County, Michigan 26103 0 3 -3
Midland County, Michigan 26111 19 0 19
Monroe County, Michigan 26115 29 0 29
Oakland County, Michigan 26125 85 124 -39
Oceana County, Michigan 26127 0 3 -3
Ogemaw County, Michigan 26129 0 4 -4
Ottawa County, Michigan 26139 17 21 -4
Saginaw County, Michigan 26145 0 7 -7
Van Buren County, Michigan 26159 0 10 -10
Washtenaw County, Michigan 26161 24 0 24
Wayne County, Michigan 26163 0 67 -67
Crow Wing County, Minnesota 27035 6 0 6
Morrison County, Minnesota 27097 10 0 10
Olmsted County, Minnesota 27109 0 20 -20
Ramsey County, Minnesota 27123 0 28 -28
Wright County, Minnesota 27171 0 15 -15
Harrison County, Mississippi 28047 9 0 9
Jackson County, Mississippi 28059 0 28 -28
Lafayette County, Mississippi 28071 0 8 -8
Lee County, Mississippi 28081 0 14 -14
Oktibbeha County, Mississippi 28105 7 0 7
Warren County, Mississippi 28149 42 0 42
Boone County, Missouri 29019 0 12 -12
Butler County, Missouri 29023 12 0 12
Clay County, Missouri 29047 63 0 63
Greene County, Missouri 29077 14 0 14
Iron County, Missouri 29093 10 0 10
Jackson County, Missouri 29095 20 12 8
Phelps County, Missouri 29161 45 0 45
Platte County, Missouri 29165 0 28 -28
St. Charles County, Missouri 29183 14 0 14
St. Louis County, Missouri 29189 0 14 -14
St. Louis city, Missouri 29510 11 0 11
Cascade County, Montana 30013 0 38 -38
Douglas County, Nebraska 31055 62 0 62
Clark County, Nevada 32003 13 21 -8
Washoe County, Nevada 32031 114 0 114
Coos County, New Hampshire 33007 13 0 13
Hillsborough County, New Hampshire 33011 79 40 39
Rockingham County, New Hampshire 33015 50 0 50
Strafford County, New Hampshire 33017 16 0 16
Atlantic County, New Jersey 34001 122 0 122
Burlington County, New Jersey 34005 0 26 -26
Camden County, New Jersey 34007 12 0 12
Cape May County, New Jersey 34009 0 11 -11
Essex County, New Jersey 34013 0 13 -13
Gloucester County, New Jersey 34015 103 0 103
Hudson County, New Jersey 34017 13 0 13
Hunterdon County, New Jersey 34019 17 0 17
Mercer County, New Jersey 34021 23 0 23
Middlesex County, New Jersey 34023 39 0 39
Monmouth County, New Jersey 34025 21 1 20
Morris County, New Jersey 34027 12 0 12
Passaic County, New Jersey 34031 240 0 240
Union County, New Jersey 34039 108 97 11
Bernalillo County, New Mexico 35001 92 0 92
Cibola County, New Mexico 35006 23 0 23
Otero County, New Mexico 35035 0 45 -45
Santa Fe County, New Mexico 35049 0 5 -5
Albany County, New York 36001 0 11 -11
Bronx County, New York 36005 17 18 -1
Cayuga County, New York 36011 0 13 -13
Columbia County, New York 36021 31 0 31
Cortland County, New York 36023 10 0 10
Delaware County, New York 36025 6 0 6
Erie County, New York 36029 52 0 52
Greene County, New York 36039 58 0 58
Herkimer County, New York 36043 0 7 -7
Kings County, New York 36047 47 13 34
Livingston County, New York 36051 0 11 -11
Monroe County, New York 36055 73 15 58
Nassau County, New York 36059 143 0 143
New York County, New York 36061 100 30 70
Niagara County, New York 36063 0 8 -8
Onondaga County, New York 36067 15 4 11
Orange County, New York 36071 74 0 74
Richmond County, New York 36085 16 0 16
Schenectady County, New York 36093 14 0 14
Suffolk County, New York 36103 17 13 4
Sullivan County, New York 36105 7 0 7
Tompkins County, New York 36109 0 38 -38
Warren County, New York 36113 35 0 35
Westchester County, New York 36119 28 27 1
Alexander County, North Carolina 37003 16 0 16
Brunswick County, North Carolina 37019 51 45 6
Buncombe County, North Carolina 37021 162 211 -49
Burke County, North Carolina 37023 10 41 -31
Cabarrus County, North Carolina 37025 88 109 -21
Catawba County, North Carolina 37035 28 0 28
Clay County, North Carolina 37043 40 0 40
Cleveland County, North Carolina 37045 38 0 38
Columbus County, North Carolina 37047 92 0 92
Craven County, North Carolina 37049 14 4 10
Cumberland County, North Carolina 37051 0 2 -2
Davidson County, North Carolina 37057 94 47 47
Durham County, North Carolina 37063 33 96 -63
Forsyth County, North Carolina 37067 64 108 -44
Gaston County, North Carolina 37071 21 50 -29
Granville County, North Carolina 37077 0 9 -9
Guilford County, North Carolina 37081 42 23 19
Haywood County, North Carolina 37087 11 29 -18
Henderson County, North Carolina 37089 149 105 44
Iredell County, North Carolina 37097 77 28 49
Jackson County, North Carolina 37099 23 0 23
Johnston County, North Carolina 37101 20 250 -230
Lincoln County, North Carolina 37109 50 0 50
McDowell County, North Carolina 37111 5 0 5
Macon County, North Carolina 37113 4 33 -29
Madison County, North Carolina 37115 0 54 -54
Mecklenburg County, North Carolina 37119 485 408 77
Moore County, North Carolina 37125 4 0 4
Nash County, North Carolina 37127 0 3 -3
New Hanover County, North Carolina 37129 13 12 1
Onslow County, North Carolina 37133 22 0 22
Person County, North Carolina 37145 0 14 -14
Pitt County, North Carolina 37147 16 45 -29
Polk County, North Carolina 37149 92 67 25
Rowan County, North Carolina 37159 0 23 -23
Rutherford County, North Carolina 37161 20 48 -28
Swain County, North Carolina 37173 7 1 6
Transylvania County, North Carolina 37175 60 102 -42
Union County, North Carolina 37179 87 26 61
Wake County, North Carolina 37183 223 26 197
Watauga County, North Carolina 37189 0 21 -21
Wayne County, North Carolina 37191 6 0 6
Wilson County, North Carolina 37195 10 0 10
Yadkin County, North Carolina 37197 20 0 20
Yancey County, North Carolina 37199 0 21 -21
Grand Forks County, North Dakota 38035 0 30 -30
Ashtabula County, Ohio 39007 94 0 94
Butler County, Ohio 39017 20 4 16
Clermont County, Ohio 39025 18 16 2
Cuyahoga County, Ohio 39035 62 40 22
Delaware County, Ohio 39041 0 12 -12
Franklin County, Ohio 39049 61 51 10
Geauga County, Ohio 39055 0 12 -12
Greene County, Ohio 39057 27 0 27
Hamilton County, Ohio 39061 18 72 -54
Holmes County, Ohio 39075 5 0 5
Lawrence County, Ohio 39087 42 0 42
Lucas County, Ohio 39095 60 0 60
Montgomery County, Ohio 39113 0 13 -13
Ottawa County, Ohio 39123 0 14 -14
Putnam County, Ohio 39137 12 0 12
Stark County, Ohio 39151 0 51 -51
Trumbull County, Ohio 39155 55 0 55
Warren County, Ohio 39165 65 26 39
Wayne County, Ohio 39169 0 16 -16
Cleveland County, Oklahoma 40027 32 0 32
Comanche County, Oklahoma 40031 7 6 1
Jackson County, Oklahoma 40065 0 5 -5
Oklahoma County, Oklahoma 40109 12 0 12
Pontotoc County, Oklahoma 40123 19 0 19
Tulsa County, Oklahoma 40143 0 44 -44
Deschutes County, Oregon 41017 20 0 20
Klamath County, Oregon 41035 15 0 15
Lane County, Oregon 41039 0 14 -14
Multnomah County, Oregon 41051 0 14 -14
Washington County, Oregon 41067 26 0 26
Allegheny County, Pennsylvania 42003 0 9 -9
Berks County, Pennsylvania 42011 46 0 46
Bucks County, Pennsylvania 42017 161 11 150
Butler County, Pennsylvania 42019 8 0 8
Cambria County, Pennsylvania 42021 128 0 128
Centre County, Pennsylvania 42027 75 0 75
Chester County, Pennsylvania 42029 55 0 55
Clearfield County, Pennsylvania 42033 7 0 7
Columbia County, Pennsylvania 42037 10 0 10
Cumberland County, Pennsylvania 42041 12 0 12
Dauphin County, Pennsylvania 42043 4 0 4
Lancaster County, Pennsylvania 42071 32 0 32
Luzerne County, Pennsylvania 42079 40 0 40
Monroe County, Pennsylvania 42089 45 0 45
Montgomery County, Pennsylvania 42091 51 14 37
Northampton County, Pennsylvania 42095 0 16 -16
Philadelphia County, Pennsylvania 42101 47 10 37
Schuylkill County, Pennsylvania 42107 0 21 -21
Somerset County, Pennsylvania 42111 16 0 16
Warren County, Pennsylvania 42123 0 38 -38
Washington County, Pennsylvania 42125 19 0 19
Westmoreland County, Pennsylvania 42129 41 0 41
York County, Pennsylvania 42133 0 39 -39
Newport County, Rhode Island 44005 0 7 -7
Providence County, Rhode Island 44007 53 106 -53
Abbeville County, South Carolina 45001 96 58 38
Aiken County, South Carolina 45003 192 46 146
Allendale County, South Carolina 45005 0 7 -7
Anderson County, South Carolina 45007 2135 3167 -1032
Bamberg County, South Carolina 45009 1 38 -37
Barnwell County, South Carolina 45011 15 12 3
Beaufort County, South Carolina 45013 131 164 -33
Berkeley County, South Carolina 45015 101 325 -224
Calhoun County, South Carolina 45017 0 32 -32
Charleston County, South Carolina 45019 533 487 46
Cherokee County, South Carolina 45021 373 113 260
Chesterfield County, South Carolina 45025 44 0 44
Clarendon County, South Carolina 45027 39 22 17
Colleton County, South Carolina 45029 45 0 45
Darlington County, South Carolina 45031 97 51 46
Dillon County, South Carolina 45033 2 10 -8
Dorchester County, South Carolina 45035 166 53 113
Edgefield County, South Carolina 45037 10 20 -10
Fairfield County, South Carolina 45039 107 0 107
Florence County, South Carolina 45041 351 85 266
Georgetown County, South Carolina 45043 46 1 45
Greenwood County, South Carolina 45047 537 219 318
Hampton County, South Carolina 45049 0 2 -2
Horry County, South Carolina 45051 345 755 -410
Jasper County, South Carolina 45053 13 75 -62
Kershaw County, South Carolina 45055 30 10 20
Lancaster County, South Carolina 45057 21 25 -4
Laurens County, South Carolina 45059 924 1677 -753
Lee County, South Carolina 45061 8 18 -10
Lexington County, South Carolina 45063 245 436 -191
McCormick County, South Carolina 45065 36 44 -8
Marion County, South Carolina 45067 22 18 4
Marlboro County, South Carolina 45069 0 8 -8
Newberry County, South Carolina 45071 112 14 98
Oconee County, South Carolina 45073 193 350 -157
Orangeburg County, South Carolina 45075 288 25 263
Pickens County, South Carolina 45077 1867 2056 -189
Richland County, South Carolina 45079 790 1086 -296
Saluda County, South Carolina 45081 7 0 7
Spartanburg County, South Carolina 45083 3276 5126 -1850
Sumter County, South Carolina 45085 52 246 -194
Union County, South Carolina 45087 11 3 8
Williamsburg County, South Carolina 45089 5 83 -78
York County, South Carolina 45091 277 351 -74
Brookings County, South Dakota 46011 0 5 -5
Minnehaha County, South Dakota 46099 10 0 10
Bledsoe County, Tennessee 47007 49 0 49
Blount County, Tennessee 47009 0 7 -7
Davidson County, Tennessee 47037 78 43 35
Hamilton County, Tennessee 47065 31 0 31
Hawkins County, Tennessee 47073 5 0 5
Johnson County, Tennessee 47091 26 0 26
Knox County, Tennessee 47093 54 7 47
Madison County, Tennessee 47113 0 22 -22
Montgomery County, Tennessee 47125 33 0 33
Rhea County, Tennessee 47143 3 0 3
Robertson County, Tennessee 47147 0 15 -15
Rutherford County, Tennessee 47149 0 258 -258
Sevier County, Tennessee 47155 0 28 -28
Shelby County, Tennessee 47157 69 8 61
Sullivan County, Tennessee 47163 79 58 21
Washington County, Tennessee 47179 0 9 -9
Weakley County, Tennessee 47183 0 23 -23
White County, Tennessee 47185 11 0 11
Williamson County, Tennessee 47187 10 49 -39
Atascosa County, Texas 48013 82 0 82
Bell County, Texas 48027 14 9 5
Bexar County, Texas 48029 18 0 18
Brooks County, Texas 48047 0 4 -4
Cameron County, Texas 48061 7 0 7
Coleman County, Texas 48083 0 1 -1
Collin County, Texas 48085 12 0 12
Dallas County, Texas 48113 100 91 9
Denton County, Texas 48121 0 24 -24
Ector County, Texas 48135 0 1 -1
El Paso County, Texas 48141 22 0 22
Fort Bend County, Texas 48157 43 0 43
Galveston County, Texas 48167 14 0 14
Harris County, Texas 48201 127 51 76
Hays County, Texas 48209 24 0 24
Henderson County, Texas 48213 0 62 -62
Hidalgo County, Texas 48215 6 0 6
Jefferson County, Texas 48245 127 12 115
Kendall County, Texas 48259 8 0 8
Midland County, Texas 48329 87 0 87
Tarrant County, Texas 48439 47 138 -91
Taylor County, Texas 48441 0 6 -6
Tom Green County, Texas 48451 63 0 63
Travis County, Texas 48453 72 0 72
Beaver County, Utah 49001 15 0 15
Carbon County, Utah 49007 0 1 -1
Salt Lake County, Utah 49035 15 15 0
Utah County, Utah 49049 0 14 -14
Windsor County, Vermont 50027 0 11 -11
Albemarle County, Virginia 51003 17 21 -4
Arlington County, Virginia 51013 44 20 24
Campbell County, Virginia 51031 0 21 -21
Chesterfield County, Virginia 51041 55 57 -2
Fairfax County, Virginia 51059 69 0 69
Hanover County, Virginia 51085 11 0 11
Henrico County, Virginia 51087 19 0 19
Loudoun County, Virginia 51107 8 0 8
Louisa County, Virginia 51109 55 0 55
Montgomery County, Virginia 51121 15 52 -37
Patrick County, Virginia 51141 0 11 -11
Pittsylvania County, Virginia 51143 7 0 7
Prince George County, Virginia 51149 0 21 -21
Prince William County, Virginia 51153 43 51 -8
Spotsylvania County, Virginia 51177 10 0 10
York County, Virginia 51199 18 0 18
Alexandria city, Virginia 51510 0 20 -20
Charlottesville city, Virginia 51540 7 5 2
Fairfax city, Virginia 51600 38 0 38
Lynchburg city, Virginia 51680 0 19 -19
Norfolk city, Virginia 51710 0 1 -1
Richmond city, Virginia 51760 0 66 -66
Roanoke city, Virginia 51770 0 26 -26
Virginia Beach city, Virginia 51810 21 0 21
Waynesboro city, Virginia 51820 6 0 6
Winchester city, Virginia 51840 67 0 67
Clark County, Washington 53011 61 46 15
King County, Washington 53033 28 0 28
Pierce County, Washington 53053 28 0 28
Snohomish County, Washington 53061 6 95 -89
Thurston County, Washington 53067 22 5 17
Walla Walla County, Washington 53071 12 0 12
Brooke County, West Virginia 54009 0 1 -1
Cabell County, West Virginia 54011 7 0 7
Kanawha County, West Virginia 54039 17 0 17
Monongalia County, West Virginia 54061 5 0 5
Pocahontas County, West Virginia 54075 100 0 100
Raleigh County, West Virginia 54081 16 15 1
Summers County, West Virginia 54089 0 10 -10
Barron County, Wisconsin 55005 0 3 -3
Eau Claire County, Wisconsin 55035 44 0 44
Marathon County, Wisconsin 55073 32 0 32
Milwaukee County, Wisconsin 55079 35 66 -31
Ozaukee County, Wisconsin 55089 46 0 46
Sauk County, Wisconsin 55111 0 7 -7
Waukesha County, Wisconsin 55133 30 0 30
Aguadilla Municipio, Puerto Rico 72005 0 20 -20
Arecibo Municipio, Puerto Rico 72013 0 19 -19
Bayamón Municipio, Puerto Rico 72021 5 0 5
Carolina Municipio, Puerto Rico 72031 8 0 8
Guaynabo Municipio, Puerto Rico 72061 20 0 20
Humacao Municipio, Puerto Rico 72069 56 0 56
Juncos Municipio, Puerto Rico 72077 17 0 17
Naranjito Municipio, Puerto Rico 72105 0 22 -22
Río Grande Municipio, Puerto Rico 72119 79 0 79
San Juan Municipio, Puerto Rico 72127 42 0 42
Shelton town, Fairfield County, Connecticut 0900168170 8 0 8
Westport town, Fairfield County, Connecticut 0900183500 13 0 13
Enfield town, Hartford County, Connecticut 0900325990 8 0 8
New Milford town, Litchfield County, Connecticut 0900552630 17 0 17
Groton town, New London County, Connecticut 0901134250 0 24 -24
Norwich town, New London County, Connecticut 0901156270 0 9 -9
Sterling town, Windham County, Connecticut 0901573420 97 0 97
Portland city, Cumberland County, Maine 2300560545 84 0 84
Augusta city, Kennebec County, Maine 2301102100 0 16 -16
Rockport town, Knox County, Maine 2301363660 11 0 11
Orono town, Penobscot County, Maine 2301955565 0 9 -9
Old Orchard Beach town, York County, Maine 2303155085 0 28 -28
Orleans town, Barnstable County, Massachusetts 2500151440 25 0 25
Salem city, Essex County, Massachusetts 2500959105 28 0 28
Wilbraham town, Hampden County, Massachusetts 2501379740 29 0 29
Malden city, Middlesex County, Massachusetts 2501737875 0 29 -29
Shirley town, Middlesex County, Massachusetts 2501761590 0 39 -39
Waltham city, Middlesex County, Massachusetts 2501772600 33 0 33
Winchester town, Middlesex County, Massachusetts 2501780510 0 14 -14
Brookline town, Norfolk County, Massachusetts 2502109175 0 15 -15
Dover town, Norfolk County, Massachusetts 2502117405 39 0 39
Wellesley town, Norfolk County, Massachusetts 2502174175 0 12 -12
Brockton city, Plymouth County, Massachusetts 2502309000 57 0 57
Mattapoisett town, Plymouth County, Massachusetts 2502339450 12 0 12
Plympton town, Plymouth County, Massachusetts 2502354415 0 39 -39
Boston city, Suffolk County, Massachusetts 2502507000 5 19 -14
Shrewsbury town, Worcester County, Massachusetts 2502761800 0 68 -68
Eaton Rapids city, Eaton County, Michigan 2604524540 39 0 39
Burton city, Genesee County, Michigan 2604912060 23 21 2
Flint charter township, Genesee County, Michigan 2604929020 0 16 -16
Grand Blanc charter township, Genesee County, Michigan 2604933300 0 115 -115
Gladwin city, Gladwin County, Michigan 2605132320 0 6 -6
East Bay township, Grand Traverse County, Michigan 2605523800 0 83 -83
Hillsdale city, Hillsdale County, Michigan 2605938460 19 0 19
Somerset township, Hillsdale County, Michigan 2605974560 0 13 -13
Houghton city, Houghton County, Michigan 2606139360 124 0 124
Quincy township, Houghton County, Michigan 2606166680 0 1 -1
Blackman charter township, Jackson County, Michigan 2607508760 43 0 43
Spring Arbor township, Jackson County, Michigan 2607575640 0 3 -3
Kalamazoo city, Kalamazoo County, Michigan 2607742160 11 11 0
Gaines charter township, Kent County, Michigan 2608131240 6 0 6
Tecumseh township, Lenawee County, Michigan 2609179140 22 0 22
Oceola township, Livingston County, Michigan 2609360120 0 21 -21
Clinton charter township, Macomb County, Michigan 2609916520 21 0 21
Mount Clemens city, Macomb County, Michigan 2609955820 0 9 -9
Manistee city, Manistee County, Michigan 2610150720 0 6 -6
Ewing township, Marquette County, Michigan 2610326840 0 3 -3
Midland city, Midland County, Michigan 2611153780 19 0 19
Monroe city, Monroe County, Michigan 2611555020 29 0 29
Auburn Hills city, Oakland County, Michigan 2612504105 10 0 10
Commerce charter township, Oakland County, Michigan 2612517640 46 0 46
Farmington Hills city, Oakland County, Michigan 2612527440 0 46 -46
Madison Heights city, Oakland County, Michigan 2612550560 14 0 14
Novi city, Oakland County, Michigan 2612559440 0 45 -45
Pontiac city, Oakland County, Michigan 2612565440 0 33 -33
Royal Oak city, Oakland County, Michigan 2612570040 15 0 15
Hart city, Oceana County, Michigan 2612736920 0 3 -3
West Branch city, Ogemaw County, Michigan 2612985580 0 4 -4
Holland city, Ottawa County, Michigan 2613938640 17 0 17
Spring Lake township, Ottawa County, Michigan 2613975840 0 21 -21
Blumfield township, Saginaw County, Michigan 2614509400 0 7 -7
South Haven city, Van Buren County, Michigan 2615974980 0 10 -10
Ann Arbor city, Washtenaw County, Michigan 2616103000 24 0 24
Canton charter township, Wayne County, Michigan 2616313120 0 25 -25
Garden City city, Wayne County, Michigan 2616331420 0 28 -28
Woodhaven city, Wayne County, Michigan 2616388380 0 14 -14
Baxter city, Crow Wing County, Minnesota 2703504042 6 0 6
Scandia Valley township, Morrison County, Minnesota 2709758918 10 0 10
Rochester city, Olmsted County, Minnesota 2710954880 0 20 -20
St. Paul city, Ramsey County, Minnesota 2712358000 0 28 -28
Montrose city, Wright County, Minnesota 2717143810 0 15 -15
Gorham town, Coos County, New Hampshire 3300730260 13 0 13
Manchester city, Hillsborough County, New Hampshire 3301145140 0 40 -40
New Ipswich town, Hillsborough County, New Hampshire 3301151940 79 0 79
Exeter town, Rockingham County, New Hampshire 3301525380 36 0 36
Hampton Falls town, Rockingham County, New Hampshire 3301533460 14 0 14
Rochester city, Strafford County, New Hampshire 3301765140 16 0 16
Galloway township, Atlantic County, New Jersey 3400125560 100 0 100
Northfield city, Atlantic County, New Jersey 3400152950 22 0 22
New Hanover township, Burlington County, New Jersey 3400551510 0 24 -24
North Hanover township, Burlington County, New Jersey 3400553070 0 2 -2
Stratford borough, Camden County, New Jersey 3400771220 12 0 12
Cape May city, Cape May County, New Jersey 3400910270 0 11 -11
Montclair township, Essex County, New Jersey 3401347500 0 13 -13
Washington township, Gloucester County, New Jersey 3401577180 103 0 103
Jersey City city, Hudson County, New Jersey 3401736000 13 0 13
Union township, Hunterdon County, New Jersey 3401974420 17 0 17
Hamilton township, Mercer County, New Jersey 3402129310 8 0 8
Princeton, Mercer County, New Jersey 3402160900 4 0 4
Trenton city, Mercer County, New Jersey 3402174000 11 0 11
Monroe township, Middlesex County, New Jersey 3402347280 39 0 39
Brielle borough, Monmouth County, New Jersey 3402507750 21 0 21
Tinton Falls borough, Monmouth County, New Jersey 3402573020 0 1 -1
Chatham township, Morris County, New Jersey 3402712130 12 0 12
Clifton city, Passaic County, New Jersey 3403113690 21 0 21
Passaic city, Passaic County, New Jersey 3403156550 219 0 219
Elizabeth city, Union County, New Jersey 3403921000 108 31 77
Roselle Park borough, Union County, New Jersey 3403964650 0 47 -47
Union township, Union County, New Jersey 3403974480 0 19 -19
Cohoes city, Albany County, New York 3600116749 0 11 -11
Bronx borough, Bronx County, New York 3600508510 17 18 -1
Sempronius town, Cayuga County, New York 3601166278 0 13 -13
Copake town, Columbia County, New York 3602118102 31 0 31
Cortland city, Cortland County, New York 3602318388 10 0 10
Roxbury town, Delaware County, New York 3602564001 6 0 6
Amherst town, Erie County, New York 3602902000 34 0 34
West Seneca town, Erie County, New York 3602980918 18 0 18
Durham town, Greene County, New York 3603921204 58 0 58
Warren town, Herkimer County, New York 3604378278 0 7 -7
Brooklyn borough, Kings County, New York 3604710022 47 13 34
Geneseo town, Livingston County, New York 3605128629 0 5 -5
Groveland town, Livingston County, New York 3605131016 0 6 -6
Rochester city, Monroe County, New York 3605563000 73 15 58
Hempstead town, Nassau County, New York 3605934000 143 0 143
Manhattan borough, New York County, New York 3606144919 100 30 70
Lewiston town, Niagara County, New York 3606342158 0 8 -8
Clay town, Onondaga County, New York 3606716067 15 4 11
Mount Hope town, Orange County, New York 3607148857 29 0 29
New Windsor town, Orange County, New York 3607150848 6 0 6
Port Jervis city, Orange County, New York 3607159388 29 0 29
Warwick town, Orange County, New York 3607178366 10 0 10
Staten Island borough, Richmond County, New York 3608570915 16 0 16
Rotterdam town, Schenectady County, New York 3609363935 14 0 14
Babylon town, Suffolk County, New York 3610304000 6 0 6
Huntington town, Suffolk County, New York 3610337000 11 0 11
Islip town, Suffolk County, New York 3610338000 0 13 -13
Delaware town, Sullivan County, New York 3610520104 7 0 7
Ithaca city, Tompkins County, New York 3610938077 0 38 -38
Queensbury town, Warren County, New York 3611360356 35 0 35
Greenburgh town, Westchester County, New York 3611930367 28 0 28
Yonkers city, Westchester County, New York 3611984000 0 21 -21
Yorktown town, Westchester County, New York 3611984077 0 6 -6
Pittsburgh city, Allegheny County, Pennsylvania 4200361000 0 9 -9
Exeter township, Berks County, Pennsylvania 4201124384 46 0 46
Bensalem township, Bucks County, Pennsylvania 4201705616 20 0 20
Bristol township, Bucks County, Pennsylvania 4201708768 61 0 61
Lower Makefield township, Bucks County, Pennsylvania 4201744968 54 0 54
Perkasie borough, Bucks County, Pennsylvania 4201759384 0 11 -11
Richland township, Bucks County, Pennsylvania 4201764536 26 0 26
Butler township, Butler County, Pennsylvania 4201910472 8 0 8
Southmont borough, Cambria County, Pennsylvania 4202172344 128 0 128
Benner township, Centre County, Pennsylvania 4202705608 70 0 70
Patton township, Centre County, Pennsylvania 4202758440 5 0 5
East Whiteland township, Chester County, Pennsylvania 4202922056 16 0 16
Kennett township, Chester County, Pennsylvania 4202939344 18 0 18
Penn township, Chester County, Pennsylvania 4202958808 21 0 21
Clearfield borough, Clearfield County, Pennsylvania 4203314064 7 0 7
Bloomsburg town, Columbia County, Pennsylvania 4203707128 10 0 10
East Pennsboro township, Cumberland County, Pennsylvania 4204121680 12 0 12
Lower Paxton township, Dauphin County, Pennsylvania 4204345056 4 0 4
Ephrata township, Lancaster County, Pennsylvania 4207123840 32 0 32
Dallas township, Luzerne County, Pennsylvania 4207918056 40 0 40
Tobyhanna township, Monroe County, Pennsylvania 4208976960 45 0 45
Lower Merion township, Montgomery County, Pennsylvania 4209144976 22 0 22
Norristown borough, Montgomery County, Pennsylvania 4209154656 0 14 -14
Salford township, Montgomery County, Pennsylvania 4209167528 12 0 12
Upper Providence township, Montgomery County, Pennsylvania 4209179256 17 0 17
Williams township, Northampton County, Pennsylvania 4209585256 0 16 -16
Philadelphia city, Philadelphia County, Pennsylvania 4210160000 47 10 37
Orwigsburg borough, Schuylkill County, Pennsylvania 4210757184 0 21 -21
Central City borough, Somerset County, Pennsylvania 4211112296 9 0 9
Somerset borough, Somerset County, Pennsylvania 4211171776 7 0 7
Conewango township, Warren County, Pennsylvania 4212315672 0 38 -38
Monongahela city, Washington County, Pennsylvania 4212550408 10 0 10
Peters township, Washington County, Pennsylvania 4212559608 9 0 9
New Kensington city, Westmoreland County, Pennsylvania 4212953736 18 0 18
North Huntingdon township, Westmoreland County, Pennsylvania 4212955128 23 0 23
Jackson township, York County, Pennsylvania 4213337488 0 18 -18
North York borough, York County, Pennsylvania 4213355608 0 5 -5
Springettsbury township, York County, Pennsylvania 4213372992 0 16 -16
Newport city, Newport County, Rhode Island 4400549960 0 7 -7
Providence city, Providence County, Rhode Island 4400759000 53 106 -53
Hartford town, Windsor County, Vermont 5002732275 0 8 -8
Woodstock town, Windsor County, Vermont 5002785975 0 3 -3
Arland town, Barron County, Wisconsin 5500502775 0 3 -3
Eau Claire city, Eau Claire County, Wisconsin 5503522300 44 0 44
Kronenwetter village, Marathon County, Wisconsin 5507340550 32 0 32
Milwaukee city, Milwaukee County, Wisconsin 5507953000 35 51 -16
Oak Creek city, Milwaukee County, Wisconsin 5507958800 0 15 -15
Mequon city, Ozaukee County, Wisconsin 5508951150 46 0 46
Plain village, Sauk County, Wisconsin 5511163125 0 7 -7
Waukesha city, Waukesha County, Wisconsin 5513384250 30 0 30

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

2. General, Social, Economic, Housing Characteristics

2.1. General Demographics - Detailed Characteristics .. goto topics
.. age, gender, race/origin characteristics
    and related general demographic attributes.
.. based on ACS 2020 5-year data (ACS). Negative cell value indicates NA.
GENERAL DEMOGRAPHIC CHARACTERISTICS (DP1) ItemCode County Estimate County Percent U.S. Estimate U.S. Percent
SEX AND AGE      
.Total population D001 516,126 100.0 326,569,308 100.0
..Male D002 250,447 48.5 160,818,530 49.2
..Female D003 265,679 51.5 165,750,778 50.8
..Sex ratio (males per 100 females) D004 94.3   97.0  
     
..Under 5 years D005 32,148 6.2 19,650,192 6.0
..5 to 9 years D006 34,434 6.7 19,979,039 6.1
..10 to 14 years D007 32,755 6.3 21,107,910 6.5
..15 to 19 years D008 32,293 6.3 21,174,955 6.5
..20 to 24 years D009 32,373 6.3 21,820,378 6.7
..25 to 34 years D010 72,308 14.0 45,485,165 13.9
..35 to 44 years D011 66,183 12.8 41,346,677 12.7
..45 to 54 years D012 67,356 13.1 41,540,736 12.7
..55 to 59 years D013 32,407 6.3 21,785,721 6.7
..60 to 64 years D014 32,477 6.3 20,315,718 6.2
..65 to 74 years D015 48,799 9.5 30,547,950 9.4
..75 to 84 years D016 25,048 4.9 15,193,051 4.7
..85 years and over D017 7,545 1.5 6,621,816 2.0
     
..Median age (years) D018 38.3   38.2  
     
..Under 18 years D019 119,020 23.1 73,296,738 22.4
..16 years and over D020 410,664 79.6 261,649,873 80.1
..18 years and over D021 397,106 76.9 253,272,570 77.6
..21 years and over D022 377,851 73.2 240,169,127 73.5
..62 years and over D023 100,406 19.5 64,136,076 19.6
..65 years and over D024 81,392 15.8 52,362,817 16.0
     
..18 years and over D025 397,106 100.0 253,272,570 100.0
...Male D026 189,731 47.8 123,361,776 48.7
...Female D027 207,375 52.2 129,910,794 51.3
...Sex ratio (males per 100 females) D028 91.5   95.0  
     
..65 years and over D029 81,392 100.0 52,362,817 100.0
...Male D030 35,754 43.9 23,264,263 44.4
...Female D031 45,638 56.1 29,098,554 55.6
...Sex ratio (males per 100 females) D032 78.3   79.9  
     
RACE      
.Total population D033 516,126 100.0 326,569,308 100.0
..One race D034 497,325 96.4 309,693,766 94.8
..Two or more races D035 18,801 3.6 16,875,542 5.2
     
..One race D036 497,325 96.4 309,693,766 94.8
...White D037 371,472 72.0 229,960,813 70.4
...Black or African American D038 90,330 17.5 41,227,384 12.6
...American Indian and Alaska Native D039 2,260 0.4 2,688,614 0.8
....Cherokee tribal grouping D040 386 0.1 277,634 0.1
....Chippewa tribal grouping D041 0 100.0 112,056 100.0
....Navajo tribal grouping D042 9 0.0 324,638 0.1
....Sioux tribal grouping D043 1 0.0 110,492 0.0
...Asian D044 13,471 2.6 18,421,637 5.6
....Asian Indian D045 4,298 0.8 4,143,134 1.3
....Chinese D046 2,341 0.5 4,345,272 1.3
....Filipino D047 1,928 0.4 2,884,210 0.9
....Japanese D048 750 0.1 768,985 0.2
....Korean D049 821 0.2 1,477,325 0.5
....Vietnamese D050 2,164 0.4 1,852,906 0.6
....Other Asian D051 1,169 0.2 2,949,805 0.9
...Native Hawaiian and Other Pacific Islander D052 1,319 0.3 611,404 0.2
....Native Hawaiian D053 565 0.1 185,474 0.1
....Guamanian or Chamorro D054 254 0.0 81,898 0.0
....Samoan D055 21 0.0 110,141 0.0
....Other Pacific Islander D056 479 0.1 233,891 0.1
...Some other race D057 18,473 3.6 16,783,914 5.1
..Two or more races D058 18,801 3.6 16,875,542 5.2
...White and Black or African American D059 6,232 1.2 3,295,021 1.0
...White and American Indian and Alaska Native D060 1,431 0.3 1,994,147 0.6
...White and Asian D061 2,029 0.4 2,466,289 0.8
...Black or African American and American Indian and Alaska Native D062 436 0.1 297,898 0.1
     
Race alone or in combination with one or more other races      
.Total population D063 516,126 100.0 326,569,308 100.0
..White D064 388,166 75.2 245,105,778 75.1
..Black or African American D065 98,346 19.1 46,273,733 14.2
..American Indian and Alaska Native D066 5,010 1.0 5,779,818 1.8
..Asian D067 16,298 3.2 22,193,536 6.8
..Native Hawaiian and Other Pacific Islander D068 1,730 0.3 1,441,525 0.4
..Some other race D069 26,165 5.1 24,041,125 7.4
     
HISPANIC OR LATINO AND RACE      
.Total population D070 516,126 100.0 326,569,308 100.0
..Hispanic or Latino (of any race) D071 48,446 9.4 59,361,020 18.2
...Mexican D072 21,728 4.2 36,537,028 11.2
...Puerto Rican D073 5,068 1.0 5,699,150 1.7
...Cuban D074 1,258 0.2 2,332,584 0.7
...Other Hispanic or Latino D075 20,392 4.0 14,792,258 4.5
..Not Hispanic or Latino D076 467,680 90.6 267,208,288 81.8
...White alone D077 349,315 67.7 196,251,375 60.1
...Black or African American alone D078 89,417 17.3 39,994,653 12.2
...American Indian and Alaska Native alone D079 1,053 0.2 2,075,852 0.6
...Asian alone D080 13,245 2.6 18,184,182 5.6
...Native Hawaiian and Other Pacific Islander alone D081 1,195 0.2 550,080 0.2
...Some other race alone D082 2,109 0.4 1,017,604 0.3
...Two or more races D083 11,346 2.2 9,134,542 2.8
....Two races including Some other race D084 1,321 0.3 827,762 0.3
....Two races excluding Some other race, and Three or more races D085 10,025 1.9 8,306,780 2.5
     
.Total housing units D086 214,785 100.0 138,432,751 100.0
     
CITIZEN, VOTING AGE POPULATION      
.Citizen, 18 and over population D087 374,007 100.0 233,440,758 100.0
..Male D088 177,378 47.4 113,241,206 48.5
..Female D089 196,629 52.6 120,199,552 51.5


2.2. Social Characteristics .. goto topics
.. families/households, education, enrollment, fertility, disability, language spoken, mobility, foreign born, ancestry characteristics
    and related social attributes.
.. based on ACS 2020 5-year data (ACS). Negative cell value indicates NA.
SOCIAL CHARACTERISTICS (DP2) ItemCode County Estimate County Percent U.S. Estimate U.S. Percent
HOUSEHOLDS BY TYPE      
.Total households S001 198,015 100.0 122,354,219 100.0
..Married-couple family S002 99,558 50.3 58,807,003 48.1
...With own children of the householder under 18 years S003 -1   -1  
..Cohabiting couple household S004 10,957 5.5 7,958,647 6.5
...With own children of the householder under 18 years S005 -1   -1  
..Male householder, no spouse/partner present S006 32,019 16.2 21,780,170 17.8
...With own children of the householder under 18 years S007 -1   -1  
...Householder living alone S008 22,916 11.6 15,296,800 12.5
....65 years and over S009 6,188 3.1 4,441,899 3.6
..Female householder, no spouse/partner present S010 55,481 28.0 33,808,399 27.6
...With own children of the householder under 18 years S011 -1   -1  
...Householder living alone S012 31,212 15.8 18,957,732 15.5
....65 years and over S013 13,924 7.0 9,335,513 7.6
     
..Households with one or more people under 18 years S014 62,939 31.8 37,598,741 30.7
..Households with one or more people 65 years and over S015 57,520 29.0 36,861,827 30.1
     
..Average household size S016 2.55   2.60  
..Average family size S017 3.12   3.21  
     
RELATIONSHIP      
.Population in households S018 504,648 100.0 318,495,974 100.0
..Householder S019 198,015 39.2 122,354,219 38.4
..Spouse S020 99,456 19.7 58,717,034 18.4
..Unmarried partner S021 10,981 2.2 8,048,864 2.5
..Child S022 150,992 29.9 94,445,052 29.7
..Other relatives S023 31,071 6.2 23,202,220 7.3
..Other nonrelatives S024 14,133 2.8 11,728,585 3.7
     
MARITAL STATUS      
.Males 15 years and over S025 199,637 100.0 129,777,799 100.0
..Never married S026 66,201 33.2 47,510,293 36.6
..Now married, except separated S027 104,980 52.6 64,543,861 49.7
..Separated S028 4,100 2.1 2,052,984 1.6
..Widowed S029 5,164 2.6 3,408,813 2.6
..Divorced S030 19,192 9.6 12,261,848 9.4
     
.Females 15 years and over S031 217,152 100.0 136,054,368 100.0
..Never married S032 62,907 29.0 41,518,358 30.5
..Now married, except separated S033 105,546 48.6 63,348,809 46.6
..Separated S034 5,325 2.5 2,859,442 2.1
..Widowed S035 18,492 8.5 11,821,660 8.7
..Divorced S036 24,882 11.5 16,506,099 12.1
     
FERTILITY      
.Number of women 15 to 50 years old who had a birth in the past 12 months S037 7,100 100.0 3,982,654 100.0
..Unmarried women (widowed, divorced, and never married) S038 2,007 28.3 1,308,199 32.8
...Per 1,000 unmarried women S039 30 -1.0 30 -1.0
..Per 1,000 women 15 to 50 years old S040 57 -1.0 52 -1.0
..Per 1,000 women 15 to 19 years old S041 8 -1.0 11 -1.0
..Per 1,000 women 20 to 34 years old S042 101 -1.0 87 -1.0
..Per 1,000 women 35 to 50 years old S043 30 -1.0 30 -1.0
     
GRANDPARENTS      
.Number of grandparents living with own grandchildren under 18 years S044 11,154 100.0 7,187,524 100.0
..Grandparents responsible for grandchildren S045 5,106 45.8 2,400,774 33.4
..Years responsible for grandchildren
...Less than 1 year S046 610 5.5 427,836 6.0
...1 or 2 years S047 1,020 9.1 495,453 6.9
...3 or 4 years S048 729 6.5 391,577 5.4
...5 or more years S049 2,747 24.6 1,085,908 15.1
     
.Number of grandparents responsible for own grandchildren under 18 years S050 5,106 100.0 2,400,774 100.0
..Who are female S051 3,171 62.1 1,518,284 63.2
..Who are married S052 3,508 68.7 1,646,934 68.6
     
SCHOOL ENROLLMENT      
.Population 3 years and over enrolled in school S053 123,826 100.0 80,497,960 100.0
..Nursery school, preschool S054 6,032 4.9 4,879,858 6.1
..Kindergarten S055 8,596 6.9 4,003,118 5.0
..Elementary school (grades 1-8) S056 53,114 42.9 32,506,623 40.4
..High school (grades 9-12) S057 25,620 20.7 16,879,255 21.0
..College or graduate school S058 30,464 24.6 22,229,106 27.6
     
EDUCATIONAL ATTAINMENT      
.Population 25 years and over S059 352,123 100.0 222,836,834 100.0
..Less than 9th grade S060 12,575 3.6 10,923,030 4.9
..9th to 12th grade, no diploma S061 25,816 7.3 14,639,650 6.6
..High school graduate (includes equivalency) S062 82,915 23.5 59,421,419 26.7
..Some college, no degree S063 70,127 19.9 45,242,162 20.3
..Associate's degree S064 32,675 9.3 19,254,254 8.6
..Bachelor's degree S065 81,357 23.1 45,034,610 20.2
..Graduate or professional degree S066 46,658 13.3 28,321,709 12.7
     
..High school graduate or higher S067 313,732 89.1 197,274,154 88.5
..Bachelor's degree or higher S068 128,015 36.4 73,356,319 32.9
     
VETERAN STATUS      
.Civilian population 18 years and over S069 396,716 100.0 252,130,477 100.0
..Civilian veterans S070 28,770 7.3 17,835,456 7.1
     
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION      
.Total Civilian Noninstitutionalized Population S071 511,736 100.0 321,525,041 100.0
..With a disability S072 65,405 12.8 40,786,461 12.7
     
.Under 18 years S073 118,773 100.0 73,163,121 100.0
..With a disability S074 5,522 4.6 3,166,556 4.3
     
.18 to 64 years S075 313,041 100.0 197,289,696 100.0
..With a disability S076 33,454 10.7 20,231,217 10.3
     
.65 years and over S077 79,922 100.0 51,072,224 100.0
..With a disability S078 26,429 33.1 17,388,688 34.0
     
RESIDENCE 1 YEAR AGO      
.Population 1 year and over S079 507,479 100.0 322,943,283 100.0
..Same house S080 428,375 84.4 278,285,887 86.2
..Different house in the U.S. or abroad S081 79,104 15.6 44,657,396 13.8
..Different house in the U.S. S082 74,871 14.8 42,714,733 13.2
...Same county S083 45,121 8.9 24,840,584 7.7
...Different county S084 29,750 5.9 17,874,149 5.5
....Same state S085 14,056 2.8 10,445,339 3.2
....Different state S086 15,694 3.1 7,428,810 2.3
..Abroad S087 4,233 0.8 1,942,663 0.6
     
PLACE OF BIRTH      
.Total population S088 516,126 100.0 326,569,308 100.0
..Native S089 473,129 91.7 282,443,680 86.5
...Born in United States S090 466,297 90.3 277,155,748 84.9
....State of residence S091 267,360 51.8 189,976,546 58.2
....Different state S092 198,937 38.5 87,179,202 26.7
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s) S093 6,832 1.3 5,287,932 1.6
..Foreign born S094 42,997 8.3 44,125,628 13.5
     
U.S. CITIZENSHIP STATUS      
.Foreign-born population S095 42,997 100.0 44,125,628 100.0
..Naturalized U.S. citizen S096 16,866 39.2 22,456,684 50.9
..Not a U.S. citizen S097 26,131 60.8 21,668,944 49.1
     
YEAR OF ENTRY      
.Population born outside the United States S098 49,829 100.0 49,413,560 100.0
     
..Native S099 6,832 100.0 5,287,932 100.0
...Entered 2010 or later S100 1,680 24.6 1,258,153 23.8
...Entered before 2010 S101 5,152 75.4 4,029,779 76.2
     
..Foreign born S102 42,997 100.0 44,125,628 100.0
...Entered 2010 or later S103 13,116 30.5 10,044,458 22.8
...Entered before 2010 S104 29,881 69.5 34,081,170 77.2
     
WORLD REGION OF BIRTH OF FOREIGN BORN      
.Foreign-born population, excluding population born at sea S105 42,997 100.0 44,125,120 100.0
..Europe S106 5,959 13.9 4,784,383 10.8
..Asia S107 10,569 24.6 13,794,873 31.3
..Africa S108 1,097 2.6 2,362,292 5.4
..Oceania S109 314 0.7 283,505 0.6
..Latin America S110 23,621 54.9 22,073,519 50.0
..Northern America S111 1,437 3.3 826,548 1.9
     
LANGUAGE SPOKEN AT HOME      
.Population 5 years and over S112 483,978 100.0 306,919,116 100.0
..English only S113 426,024 88.0 240,826,040 78.5
..Language other than English S114 57,954 12.0 66,093,076 21.5
...Speak English less than very well S115 23,355 4.8 25,312,024 8.2
..Spanish S116 38,815 8.0 40,537,337 13.2
...Speak English less than very well S117 17,252 3.6 15,949,582 5.2
..Other Indo-European languages S118 10,020 2.1 11,270,634 3.7
...Speak English less than very well S119 2,132 0.4 3,422,525 1.1
..Asian and Pacific Islander languages S120 7,554 1.6 10,800,470 3.5
...Speak English less than very well S121 3,479 0.7 4,886,876 1.6
..Other languages S122 1,565 0.3 3,484,635 1.1
...Speak English less than very well S123 492 0.1 1,053,041 0.3
     
ANCESTRY      
.Total population S124 516,126 100.0 326,569,308 100.0
..American S125 40,378 7.8 19,364,103 5.9
..Arab S126 2,181 0.4 2,056,594 0.6
..Czech S127 1,583 0.3 1,329,130 0.4
..Danish S128 851 0.2 1,244,498 0.4
..Dutch S129 5,037 1.0 3,692,889 1.1
..English S130 56,077 10.9 25,213,619 7.7
..French (except Basque) S131 9,607 1.9 7,374,976 2.3
..French Canadian S132 2,392 0.5 1,998,012 0.6
..German S133 54,298 10.5 42,589,571 13.0
..Greek S134 2,197 0.4 1,249,194 0.4
..Hungarian S135 1,840 0.4 1,348,198 0.4
..Irish S136 50,192 9.7 31,518,129 9.7
..Italian S137 17,254 3.3 16,549,022 5.1
..Lithuanian S138 583 0.1 626,937 0.2
..Norwegian S139 3,267 0.6 4,289,825 1.3
..Polish S140 7,978 1.5 8,936,002 2.7
..Portuguese S141 955 0.2 1,363,964 0.4
..Russian S142 2,948 0.6 2,538,436 0.8
..Scotch-Irish S143 15,750 3.1 2,937,156 0.9
..Scottish S144 14,249 2.8 5,298,861 1.6
..Slovak S145 645 0.1 658,740 0.2
..Subsaharan African S146 2,983 0.6 3,809,930 1.2
..Swedish S147 3,304 0.6 3,627,796 1.1
..Swiss S148 1,030 0.2 908,570 0.3
..Ukrainian S149 604 0.1 1,015,209 0.3
..Welsh S150 4,330 0.8 1,851,256 0.6
..West Indian (excluding Hispanic origin groups) S151 2,541 0.5 3,008,035 0.9
     
COMPUTERS AND INTERNET USE      
.Total households S152 198,015 100.0 122,354,219 100.0
..With a computer S153 182,659 92.2 112,398,526 91.9
..With a broadband Internet subscription S154 172,426 87.1 104,302,759 85.2


2.3. Economic Characteristics .. goto topics
.. labor force, employment by industry/occupation, income, commuting, health insurance, poverty characteristics
    and related economic attributes.
.. based on ACS 2020 5-year data (ACS). Negative cell value indicates NA.
ECONOMIC CHARACTERISTICS (DP3) ItemCode County Estimate County Percent U.S. Estimate U.S. Percent
EMPLOYMENT STATUS      
.Population 16 years and over E001 410,664 100.0 261,649,873 100.0
..In labor force E002 266,499 64.9 165,902,838 63.4
...Civilian labor force E003 266,109 64.8 164,759,496 63.0
....Employed E004 255,580 62.2 155,888,980 59.6
....Unemployed E005 10,529 2.6 8,870,516 3.4
...Armed Forces E006 390 0.1 1,143,342 0.4
..Not in labor force E007 144,165 35.1 95,747,035 36.6
     
.Civilian labor force E008 266,109 100.0 164,759,496 100.0
..Unemployment Rate E009 4.00   5.40  
     
.Females 16 years and over E010 214,235 100.0 134,001,493 100.0
..In labor force E011 127,621 59.6 78,484,558 58.6
...Civilian labor force E012 127,520 59.5 78,314,931 58.4
....Employed E013 121,917 56.9 74,173,483 55.4
     
.Own children of the householder under 6 years E014 37,493 100.0 22,558,766 100.0
..All parents in family in labor force E015 24,052 64.2 15,045,945 66.7
     
.Own children of the householder 6 to 17 years E016 75,491 100.0 46,908,286 100.0
..All parents in family in labor force E017 53,904 71.4 33,697,040 71.8
     
COMMUTING TO WORK      
.Workers 16 years and over E018 250,914 100.0 153,665,654 100.0
..Car, truck, or van -- drove alone E019 202,179 80.6 115,127,720 74.9
..Car, truck, or van -- carpooled E020 22,549 9.0 13,605,122 8.9
..Public transportation (excluding taxicab) E021 961 0.4 7,044,886 4.6
..Walked E022 3,356 1.3 3,954,692 2.6
..Other means E023 4,874 1.9 2,780,139 1.8
..Worked from home E024 16,995 6.8 11,153,095 7.3
     
..Mean travel time to work (minutes) E025 23.40   26.90  
     
OCCUPATION      
.Civilian employed population 16 years and over E026 255,580 100.0 155,888,980 100.0
..Management, business, science, and arts occupations E027 101,663 39.8 61,526,906 39.5
..Service occupations E028 39,013 15.3 27,095,654 17.4
..Sales and office occupations E029 56,663 22.2 33,247,878 21.3
..Natural resources, construction, and maintenance occupations E030 19,758 7.7 13,620,436 8.7
..Production, transportation, and material moving occupations E031 38,483 15.1 20,398,106 13.1
     
INDUSTRY      
.Civilian employed population 16 years and over E032 255,580 100.0 155,888,980 100.0
..Agriculture, forestry, fishing and hunting, and mining E033 1,199 0.5 2,658,413 1.7
..Construction E034 17,028 6.7 10,416,196 6.7
..Manufacturing E035 42,810 16.8 15,617,461 10.0
..Wholesale trade E036 8,571 3.4 3,971,773 2.5
..Retail trade E037 25,639 10.0 17,195,083 11.0
..Transportation and warehousing, and utilities E038 10,598 4.1 8,576,862 5.5
..Information E039 4,399 1.7 3,066,743 2.0
..Finance and insurance, and real estate and rental and leasing E040 16,322 6.4 10,319,201 6.6
..Professional, scientific, and management, and administrative and waste management services E041 31,551 12.3 18,312,454 11.7
..Educational services, and health care and social assistance E042 52,915 20.7 36,315,080 23.3
..Arts, entertainment, and recreation, and accommodation and food services E043 24,880 9.7 14,651,909 9.4
..Other services, except public administration E044 13,682 5.4 7,516,616 4.8
..Public administration E045 5,986 2.3 7,271,189 4.7
     
CLASS OF WORKER      
.Civilian employed population 16 years and over E046 255,580 100.0 155,888,980 100.0
..Private wage and salary workers E047 218,103 85.3 124,611,544 79.9
..Government workers E048 23,832 9.3 21,743,101 13.9
..Self-employed in own not incorporated business workers E049 13,123 5.1 9,243,835 5.9
..Unpaid family workers E050 522 0.2 290,500 0.2
     
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS)      
.Total households E051 198,015 100.0 122,354,219 100.0
..Less than $10,000 E052 11,423 5.8 7,145,751 5.8
..$10,000 to $14,999 E053 7,187 3.6 5,020,097 4.1
..$15,000 to $24,999 E054 15,465 7.8 10,359,700 8.5
..$25,000 to $34,999 E055 20,184 10.2 10,569,484 8.6
..$35,000 to $49,999 E056 24,999 12.6 14,690,382 12.0
..$50,000 to $74,999 E057 36,173 18.3 21,034,779 17.2
..$75,000 to $99,999 E058 25,861 13.1 15,613,243 12.8
..$100,000 to $149,999 E059 29,677 15.0 19,128,938 15.6
..$150,000 to $199,999 E060 13,284 6.7 8,688,154 7.1
..$200,000 or more E061 13,762 6.9 10,103,691 8.3
..Median household income (dollars) E062 62,422   64,994  
..Mean household income (dollars) E063 87,315   91,547  
     
..With earnings E064 157,130 79.4 95,088,085 77.7
...Mean earnings (dollars) E065 86,954   93,265  
..With Social Security E066 62,904 31.8 38,442,718 31.4
...Mean Social Security income (dollars) E067 21,396   20,126  
..With retirement income E068 39,310 19.9 25,872,444 21.1
...Mean retirement income (dollars) E069 23,403   28,376  
     
..With Supplemental Security Income E070 7,871 4.0 6,403,843 5.2
...Mean Supplemental Security Income (dollars) E071 9,865   10,115  
..With cash public assistance income E072 2,170 1.1 2,995,159 2.4
...Mean cash public assistance income (dollars) E073 3,020   3,271  
..With Food Stamp/SNAP benefits in the past 12 months E074 16,214 8.2 13,892,407 11.4
     
.Families E075 132,726 100.0 79,849,830 100.0
..Less than $10,000 E076 4,304 3.2 2,784,559 3.5
..$10,000 to $14,999 E077 1,821 1.4 1,737,891 2.2
..$15,000 to $24,999 E078 6,521 4.9 4,608,727 5.8
..$25,000 to $34,999 E079 11,107 8.4 5,671,464 7.1
..$35,000 to $49,999 E080 14,765 11.1 8,744,513 11.0
..$50,000 to $74,999 E081 25,216 19.0 13,857,979 17.4
..$75,000 to $99,999 E082 19,981 15.1 11,445,632 14.3
..$100,000 to $149,999 E083 25,139 18.9 15,185,857 19.0
..$150,000 to $199,999 E084 11,823 8.9 7,235,024 9.1
..$200,000 or more E085 12,049 9.1 8,578,184 10.7
..Median family income (dollars) E086 78,157   80,069  
..Mean family income (dollars) E087 103,526   107,335  
     
.Per capita income (dollars) E088 34,430   35,384  
     
.Nonfamily households E089 65,289 100.0 42,504,389 100.0
..Median nonfamily income (dollars) E090 35,754   39,027  
..Mean nonfamily income (dollars) E091 51,356   57,648  
     
.Median earnings for workers (dollars) E092 34,573   36,280  
.Median earnings for male full-time, year-round workers (dollars) E093 51,952   54,323  
.Median earnings for female full-time, year-round workers (dollars) E094 40,562   44,220  
     
HEALTH INSURANCE COVERAGE      
.Civilian noninstitutionalized population E095 511,736 100.0 321,525,041 100.0
..With health insurance coverage E096 458,317 89.6 293,466,138 91.3
...With private health insurance E097 356,892 69.7 218,830,578 68.1
...With public coverage E098 160,282 31.3 113,410,193 35.3
..No health insurance coverage E099 53,419 10.4 28,058,903 8.7
     
.Civilian noninstitutionalized population under 19 years E100 125,012 100.0 77,582,280 100.0
..No health insurance coverage E101 6,343 5.1 4,016,835 5.2
     
.Civilian noninstitutionalized population 19 to 64 years E102 306,802 100.0 192,870,537 100.0
..In labor force: E103 243,117 100.0 150,997,488 100.0
...Employed: E104 233,687 100.0 143,214,283 100.0
....With health insurance coverage E105 202,201 86.5 127,785,204 89.2
.....With private health insurance E106 192,781 82.5 116,559,349 81.4
.....With public coverage E107 15,342 6.6 15,001,155 10.5
....No health insurance coverage E108 31,486 13.5 15,429,079 10.8
...Unemployed: E109 9,430 100.0 7,783,205 100.0
....With health insurance coverage E110 5,985 63.5 5,696,312 73.2
.....With private health insurance E111 4,237 44.9 3,265,196 42.0
.....With public coverage E112 2,015 21.4 2,677,987 34.4
....No health insurance coverage E113 3,445 36.5 2,086,893 26.8
..Not in labor force: E114 63,685 100.0 41,873,049 100.0
...With health insurance coverage E115 51,973 81.6 35,748,538 85.4
....With private health insurance E116 36,315 57.0 21,659,932 51.7
....With public coverage E117 19,686 30.9 17,036,758 40.7
...No health insurance coverage E118 11,712 18.4 6,124,511 14.6
     
PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL      
.All families E119 7.7   9.1  
..With related children of the householder under 18 years E120 13.1   14.3  
...With related children of the householder under 5 years only E121 12.1   13.5  
..Married couple families E122 3.1   4.6  
...With related children of the householder under 18 years E123 4.5   6.2  
....With related children of the householder under 5 years only E124 1.8   4.8  
..Families with female householder, no spouse present E125 24.5   25.1  
...With related children of the householder under 18 years E126 36.5   34.4  
....With related children of the householder under 5 years only E127 47.4   38.8  
     
.All people E128 11.2   12.8  
..Under 18 years E129 16.0   17.5  
...Related children of the householder under 18 years E130 15.7   17.2  
....Related children of the householder under 5 years E131 19.2   19.1  
....Related children of the householder 5 to 17 years E132 14.5   16.4  
..18 years and over E133 9.8   11.5  
...18 to 64 years E134 10.2   12.1  
...65 years and over E135 8.2   9.3  
..People in families E136 8.7   10.1  
..Unrelated individuals 15 years and over E137 22.7   24.2  


2.4. Housing Situation.. goto topics

2.4.1. New Authorized Residential Construction.. goto topics
.. updated monthly based on data reported by local governments. Compare monthly data for 2020 through August 2022; next update October 26, 2022 (September 2022 data). Table below saved as c:\dede\1\45045bp.csv.
Units in StructureJan-20Feb-20Mar-20Apr-20May-20Jun-20Jul-20Aug-20Sep-20Oct-20Nov-20Dec-20
Single Family, Buildings 293 287 363 314 302 393 342 406 370 393 312 427
Single Family, Units 293 287 363 314 302 393 342 406 370 393 312 427
Single Family, Value 76,814 74,721 99,272 78,057 76,833 109,266 79,499 111,248 96,909 97,983 76,255 112,550
2 Unit, Buildings 0 0 0 0 0 4 0 1 1 0 4 0
2 Unit, Units 0 0 0 0 0 8 0 2 2 0 8 0
2 Unit, Value 0 0 0 0 0 1,193 0 208 130 0 2,000 0
3-4 Unit, Buildings 0 0 0 0 2 0 0 0 0 0 0 0
3-4 Unit, Units 0 0 0 0 8 0 0 0 0 0 0 0
3-4 Unit, Value 0 0 0 0 614 0 0 0 0 0 0 0
5+ Unit, Buildings 0 0 1 8 17 5 6 0 0 11 11 10
5+ Unit, Units 0 0 5 40 253 347 347 0 0 288 271 318
5+ Unit, Value 0 0 176 1,180 11,839 48,428 33,587 0 0 20,974 22,081 35,431

Units in StructureJan-21Feb-21Mar-21Apr-21May-21Jun-21Jul-21Aug-21Sep-21Oct-21Nov-21Dec-21
Single Family, Buildings 426 471 553 561 460 1,184 1,029 377 356 479 395 390
Single Family, Units 426 471 553 561 460 1,184 1,029 377 356 479 395 390
Single Family, Value 112,016 121,934 149,153 146,714 118,896 148,432 162,816 64,410 94,334 122,629 99,786 68,851
2 Unit, Buildings 0 0 0 0 1 0 0 0 0 0 3 0
2 Unit, Units 0 0 0 0 2 0 0 0 0 0 6 0
2 Unit, Value 0 0 0 0 195 0 0 0 0 0 545 0
3-4 Unit, Buildings 0 0 0 0 0 0 0 0 0 0 0 0
3-4 Unit, Units 0 0 0 0 0 0 0 0 0 0 0 0
3-4 Unit, Value 0 0 0 0 0 0 0 0 0 0 0 0
5+ Unit, Buildings 0 0 0 0 8 11 0 1 0 10 12 5
5+ Unit, Units 0 0 0 0 177 264 0 5 0 240 487 111
5+ Unit, Value 0 0 0 0 15,180 20,662 0 42 0 24,143 27,710 12,935

Units in StructureJan-22Feb-22Mar-22Apr-22May-22Jun-22Jul-22Aug-22Sep-22Oct-22Nov-22Dec-22
Single Family, Buildings 383 369 419 371 249 260 344 302 0 0 0 0
Single Family, Units 383 369 419 371 249 260 344 302 0 0 0 0
Single Family, Value 92,692 86,264 110,481 106,889 72,378 73,423 71,239 85,649 0 0 0 0
2 Unit, Buildings 1 0 1 1 0 0 3 0 0 0 0 0
2 Unit, Units 2 0 2 2 0 0 6 0 0 0 0 0
2 Unit, Value 240 0 247 200 0 0 657 0 0 0 0 0
3-4 Unit, Buildings 0 0 0 0 0 0 0 1 0 0 0 0
3-4 Unit, Units 0 0 0 0 0 0 0 3 0 0 0 0
3-4 Unit, Value 0 0 0 0 0 0 0 808 0 0 0 0
5+ Unit, Buildings 0 1 9 14 0 4 0 0 0 0 0 0
5+ Unit, Units 0 5 49 270 0 90 0 0 0 0 0 0
5+ Unit, Value 0 42 10,834 40,637 0 10,872 0 0 0 0 0 0


2.4.1a. New Authorized Residential Construction.. goto topics
Annual for County
Units in Structure2015201620172018201920202021
Single Family, Buildings 2,554 2,960 2,937 3,531 3,664 4,258 6,682
Single Family, Units 2,554 2,960 2,937 3,531 3,664 4,258 6,682
Single Family, Value 620,889 737,024 1,378,053 1,278,912 925,531 1,102,937 1,438,147
2 Unit, Buildings 5 8 2 3 8 10 4
2 Unit, Units 10 16 4 6 16 20 8
2 Unit, Value 932 1,562 978 1,048 2,601 3,531 740
3-4 Unit, Buildings 0 6 5 1 0 2 0
3-4 Unit, Units 0 24 18 3 0 8 0
3-4 Unit, Value 0 2,058 1,283 500 0 614 0
5+ Unit, Buildings 57 19 19 34 49 63 45
5+ Unit, Units 1,774 799 584 1,129 908 1,836 1,274
5+ Unit, Value 174,796 71,931 48,008 112,776 90,662 171,064 100,588


2.4.2. Housing Characteristics .. goto topics
.. units in structure, year built, year moved into unit, rooms in unit, vehicles available, occupancy/vacancy, owner/renter, value, rent characteristics
    and related housing attributes.
.. based on ACS 2020 5-year data (ACS). Negative cell value indicates NA.
HOUSING CHARACTERISTICS (DP4) ItemCode County Estimate County Percent U.S. Estimate U.S. Percent
HOUSING OCCUPANCY      
.Total housing units H001 214,785 100.0 138,432,751 100.0
..Occupied housing units H002 198,015 92.2 122,354,219 88.4
..Vacant housing units H003 16,770 7.8 16,078,532 11.6
     
..Homeowner vacancy rate H004 1.00   1.40  
..Rental vacancy rate H005 6.20   5.80  
     
UNITS IN STRUCTURE      
.Total housing units H006 214,785 100.0 138,432,751 100.0
..1-unit, detached H007 146,389 68.2 85,438,643 61.7
..1-unit, attached H008 8,011 3.7 8,222,495 5.9
..2 units H009 4,507 2.1 4,868,926 3.5
..3 or 4 units H010 5,354 2.5 5,989,331 4.3
..5 to 9 units H011 8,918 4.2 6,398,241 4.6
..10 to 19 units H012 9,536 4.4 5,988,959 4.3
..20 or more units H013 14,205 6.6 13,018,590 9.4
..Mobile home H014 17,659 8.2 8,374,539 6.0
..Boat, RV, van, etc. H015 206 0.1 133,027 0.1
     
YEAR STRUCTURE BUILT      
.Total housing units H016 214,785 100.0 138,432,751 100.0
..Built 2014 or later H017 15,989 7.4 4,826,244 3.5
..Built 2010 to 2013 H018 9,235 4.3 3,772,330 2.7
..Built 2000 to 2009 H019 39,959 18.6 18,872,283 13.6
..Built 1990 to 1999 H020 38,964 18.1 19,229,676 13.9
..Built 1980 to 1989 H021 27,531 12.8 18,484,475 13.4
..Built 1970 to 1979 H022 30,296 14.1 20,811,073 15.0
..Built 1960 to 1969 H023 22,732 10.6 14,506,264 10.5
..Built 1950 to 1959 H024 15,391 7.2 14,087,506 10.2
..Built 1940 to 1949 H025 6,652 3.1 6,658,408 4.8
..Built 1939 or earlier H026 8,036 3.7 17,184,492 12.4
     
ROOMS      
.Total housing units H027 214,785 100.0 138,432,751 100.0
..1 room H028 3,461 1.6 3,250,217 2.3
..2 rooms H029 4,484 2.1 3,910,325 2.8
..3 rooms H030 12,785 6.0 12,459,781 9.0
..4 rooms H031 29,656 13.8 22,231,547 16.1
..5 rooms H032 40,633 18.9 26,672,922 19.3
..6 rooms H033 38,567 18.0 24,582,222 17.8
..7 rooms H034 26,902 12.5 16,793,623 12.1
..8 rooms H035 23,182 10.8 12,195,373 8.8
..9 rooms or more H036 35,115 16.3 16,336,741 11.8
..Median rooms H037 5.9   5.5  
     
BEDROOMS      
.Total housing units H038 214,785 100.0 138,432,751 100.0
..No bedroom H039 3,671 1.7 3,588,040 2.6
..1 bedroom H040 15,651 7.3 14,957,832 10.8
..2 bedrooms H041 49,109 22.9 35,542,796 25.7
..3 bedrooms H042 93,417 43.5 54,448,649 39.3
..4 bedrooms H043 40,306 18.8 23,528,958 17.0
..5 or more bedrooms H044 12,631 5.9 6,366,476 4.6
     
HOUSING TENURE      
.Occupied housing units H045 198,015 100.0 122,354,219 100.0
..Owner-occupied H046 135,145 68.2 78,801,376 64.4
..Renter-occupied H047 62,870 31.8 43,552,843 35.6
     
..Average household size of owner-occupied unit H048 2.64   2.69  
..Average household size of renter-occupied unit H049 2.34   2.45  
     
YEAR HOUSEHOLDER MOVED INTO UNIT      
.Occupied housing units H050 198,015 100.0 122,354,219 100.0
..Moved in 2017 or later H051 10,709 5.4 5,926,790 4.8
..Moved in 2015 to 2016 H052 63,818 32.2 34,811,034 28.5
..Moved in 2010 to 2014 H053 38,454 19.4 24,361,511 19.9
..Moved in 2000 to 2009 H054 42,022 21.2 27,220,198 22.2
..Moved in 1990 to 1999 H055 20,835 10.5 14,760,836 12.1
..Moved in 1989 and earlier H056 22,177 11.2 15,273,850 12.5
     
VEHICLES AVAILABLE      
.Occupied housing units H057 198,015 100.0 122,354,219 100.0
..No vehicles available H058 10,718 5.4 10,344,521 8.5
..1 vehicle available H059 61,884 31.3 39,756,914 32.5
..2 vehicles available H060 80,116 40.5 45,389,464 37.1
..3 or more vehicles available H061 45,297 22.9 26,863,320 22.0
     
HOUSE HEATING FUEL      
.Occupied housing units H062 198,015 100.0 122,354,219 100.0
..Utility gas H063 74,341 37.5 58,269,718 47.6
..Bottled, tank, or LP gas H064 5,249 2.7 5,925,357 4.8
..Electricity H065 113,467 57.3 48,141,177 39.3
..Fuel oil, kerosene, etc. H066 1,865 0.9 5,599,403 4.6
..Coal or coke H067 4 0.0 114,177 0.1
..Wood H068 1,595 0.8 2,075,845 1.7
..Solar energy H069 316 0.2 222,369 0.2
..Other fuel H070 80 0.0 600,652 0.5
..No fuel used H071 1,098 0.6 1,405,521 1.1
     
SELECTED CHARACTERISTICS      
.Occupied housing units H072 198,015 100.0 122,354,219 100.0
..Lacking complete plumbing facilities H073 365 0.2 460,275 0.4
..Lacking complete kitchen facilities H074 1,633 0.8 1,016,528 0.8
..No telephone service available H075 3,102 1.6 1,976,696 1.6
     
OCCUPANTS PER ROOM      
.Occupied housing units H076 198,015 100.0 122,354,219 100.0
..1.00 or less H077 194,073 98.0 118,293,570 96.7
..1.01 to 1.50 H078 2,725 1.4 2,722,626 2.2
..1.51 or more H079 1,217 0.6 1,338,023 1.1
     
VALUE      
.Owner-occupied units H080 135,145 100.0 78,801,376 100.0
..Less than $50,000 H081 7,704 5.7 5,172,474 6.6
..$50,000 to $99,999 H082 13,708 10.1 8,698,428 11.0
..$100,000 to $149,999 H083 21,673 16.0 9,730,077 12.3
..$150,000 to $199,999 H084 25,630 19.0 10,727,302 13.6
..$200,000 to $299,999 H085 30,967 22.9 15,730,458 20.0
..$300,000 to $499,999 H086 22,698 16.8 16,173,336 20.5
..$500,000 to $999,999 H087 10,432 7.7 9,682,662 12.3
..$1,000,000 or more H088 2,333 1.7 2,886,639 3.7
..Median (dollars) H089 197,400   229,800  
     
MORTGAGE STATUS      
.Owner-occupied units H090 135,145 100.0 78,801,376 100.0
..Housing units with a mortgage H091 84,781 62.7 48,974,364 62.1
..Housing units without a mortgage H092 50,364 37.3 29,827,012 37.9
     
SELECTED MONTHLY OWNER COSTS (SMOC)      
.Housing units with a mortgage H093 84,781 100.0 48,974,364 100.0
..Less than $500 H094 1,743 2.1 568,141 1.2
..$500 to $999 H095 20,106 23.7 8,020,937 16.4
..$1,000 to $1,499 H096 31,281 36.9 13,146,307 26.8
..$1,500 to $1,999 H097 16,186 19.1 10,324,027 21.1
..$2,000 to $2,499 H098 7,251 8.6 6,485,860 13.2
..$2,500 to $2,999 H099 3,442 4.1 3,999,769 8.2
..$3,000 or more H100 4,772 5.6 6,429,323 13.1
..Median (dollars) H101 1,307   1,621  
     
.Housing units without a mortgage H102 50,364 100.0 29,827,012 100.0
..Less than $250 H103 8,768 17.4 3,317,647 11.1
..$250 to $399 H104 19,192 38.1 6,680,713 22.4
..$400 to $599 H105 14,399 28.6 8,428,059 28.3
..$600 to $799 H106 4,633 9.2 5,014,006 16.8
..$800 to $999 H107 1,703 3.4 2,660,659 8.9
..$1,000 or more H108 1,669 3.3 3,725,928 12.5
..Median (dollars) H109 377   509  
     
SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI)      
.Housing units with a mortgage (excluding units where SMOCAPI cannot be computed) H110 84,480 100.0 48,744,731 100.0
..Less than 20.0 percent H111 47,587 56.3 22,762,635 46.7
..20.0 to 24.9 percent H112 11,589 13.7 7,593,802 15.6
..25.0 to 29.9 percent H113 7,676 9.1 5,044,205 10.3
..30.0 to 34.9 percent H114 4,604 5.4 3,314,853 6.8
..35.0 percent or more H115 13,024 15.4 10,029,236 20.6
     
..Not computed H116 301 -1.0 229,633 -1.0
     
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed) H117 49,653 100.0 29,428,138 100.0
..Less than 10.0 percent H118 29,137 58.7 13,449,955 45.7
..10.0 to 14.9 percent H119 9,065 18.3 5,686,876 19.3
..15.0 to 19.9 percent H120 4,228 8.5 3,208,798 10.9
..20.0 to 24.9 percent H121 1,947 3.9 1,935,622 6.6
..25.0 to 29.9 percent H122 1,027 2.1 1,248,280 4.2
..30.0 to 34.9 percent H123 931 1.9 834,409 2.8
..35.0 percent or more H124 3,318 6.7 3,064,198 10.4
     
..Not computed H125 711 -1.0 398,874 -1.0
     
GROSS RENT      
.Occupied units paying rent H126 59,907 100.0 41,390,514 100.0
..Less than $500 H127 4,584 7.7 3,679,331 8.9
..$500 to $999 H128 28,621 47.8 14,206,622 34.3
..$1,000 to $1,499 H129 20,527 34.3 12,515,982 30.2
..$1,500 to $1,999 H130 4,245 7.1 6,187,736 14.9
..$2,000 to $2,499 H131 1,071 1.8 2,558,549 6.2
..$2,500 to $2,999 H132 360 0.6 1,088,264 2.6
..$3,000 or more H133 499 0.8 1,154,030 2.8
..Median (dollars) H134 954   1,096  
     
..No rent paid H135 2,963 -1.0 2,162,329 -1.0
     
GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI)      
.Occupied units paying rent (excluding units where GRAPI cannot be computed) H136 59,005 100.0 40,484,226 100.0
..Less than 15.0 percent H137 8,654 14.7 5,405,002 13.4
..15.0 to 19.9 percent H138 8,572 14.5 5,254,304 13.0
..20.0 to 24.9 percent H139 8,068 13.7 5,227,400 12.9
..25.0 to 29.9 percent H140 5,979 10.1 4,711,468 11.6
..30.0 to 34.9 percent H141 6,036 10.2 3,679,430 9.1
..35.0 percent or more H142 21,696 36.8 16,206,622 40.0
     
..Not computed H143 3,865 -1.0 3,068,617 -1.0


3.1 Industry by Sector Characteristics .. goto topics
Establishments, Employment, Wages QCEW -- 2022Q1
Type of owner .. 1:Federal, 2:State, 3:Local, 5:Private. Click NAICS code link for more information about this sector.
Wages showing zero: employment & wages items suppressed (disclosure). Detail file saved as c:\dede\1\qcewarea.dbf.
      Industry by Sector Characteristics
Industry NAICS Owner Estabs Estabs% Emp Emp% Wages Wages% AWW
Total, all owners 10 0 17,998 100.0 281,250 100.0 3,954,587,107 100.0 1,082
Total, Federal 10 1 50 0.3 2,289 0.8 40,195,728 1.0 1,351
Total, State 10 2 36 0.2 3,267 1.2 36,401,861 0.9 857
Total, Local 10 3 222 1.2 26,233 9.3 326,546,219 8.3 958
Total, Private 10 5 17,690 98.3 249,462 88.7 3,551,443,299 89.8 1,095
Agriculture, forestry, fishing and hunting 11 5 45 0.3 205 0.1 1,566,442 0.0 587
Crop production 111 5 12 0.1 45 0.0 396,002 0.0 672
Animal production 112 5 4 0.0 0 0.0 0 0.0 0
Forestry and logging 113 5 12 0.1 0 0.0 0 0.0 0
Agriculture and forestry support activities 115 5 17 0.1 61 0.0 479,290 0.0 604
Mining 21 5 9 0.1 89 0.0 1,496,423 0.0 1,298
Oil and gas extraction 211 5 1 0.0 0 0.0 0 0.0 0
Mining, except oil and gas 212 5 7 0.0 87 0.0 1,477,224 0.0 1,311
Support activities for mining 213 5 1 0.0 0 0.0 0 0.0 0
Utilities 22 3 7 0.0 566 0.2 9,389,283 0.2 1,277
Utilities 22 5 34 0.2 269 0.1 6,336,893 0.2 1,814
Utilities 221 3 7 0.0 566 0.2 9,389,283 0.2 1,277
Utilities 221 5 34 0.2 269 0.1 6,336,893 0.2 1,814
Construction 23 5 1,548 8.6 14,274 5.1 270,329,223 6.8 1,457
Construction of buildings 236 5 478 2.7 3,792 1.3 104,239,233 2.6 2,115
Heavy and civil engineering construction 237 5 100 0.6 1,980 0.7 48,749,710 1.2 1,894
Specialty trade contractors 238 5 970 5.4 8,502 3.0 117,340,280 3.0 1,062
Manufacturing 31-33 5 924 5.1 30,524 10.9 515,347,325 13.0 1,299
Food manufacturing 311 5 40 0.2 1,667 0.6 15,086,463 0.4 696
Beverage and tobacco product manufacturing 312 5 18 0.1 124 0.0 743,329 0.0 460
Textile mills 313 5 18 0.1 1,102 0.4 17,151,278 0.4 1,198
Textile product mills 314 5 21 0.1 401 0.1 5,105,763 0.1 979
Apparel manufacturing 315 5 17 0.1 189 0.1 1,680,204 0.0 685
Leather and allied product manufacturing 316 5 4 0.0 0 0.0 0 0.0 0
Wood product manufacturing 321 5 29 0.2 418 0.1 9,276,998 0.2 1,709
Paper manufacturing 322 5 20 0.1 814 0.3 13,105,305 0.3 1,238
Printing and related support activities 323 5 58 0.3 765 0.3 8,932,971 0.2 898
Petroleum and coal products manufacturing 324 5 3 0.0 0 0.0 0 0.0 0
Chemical manufacturing 325 5 77 0.4 3,426 1.2 65,837,076 1.7 1,478
Plastics and rubber products manufacturing 326 5 62 0.3 4,607 1.6 80,367,379 2.0 1,342
Nonmetallic mineral product manufacturing 327 5 31 0.2 782 0.3 12,280,766 0.3 1,208
Primary metal manufacturing 331 5 12 0.1 56 0.0 820,657 0.0 1,127
Fabricated metal product manufacturing 332 5 129 0.7 2,781 1.0 41,548,678 1.1 1,149
Machinery manufacturing 333 5 116 0.6 4,734 1.7 100,864,325 2.6 1,639
Computer and electronic product manufacturing 334 5 47 0.3 2,003 0.7 34,725,510 0.9 1,334
Electrical equipment and appliance manufacturing 335 5 35 0.2 927 0.3 19,262,897 0.5 1,599
Transportation equipment manufacturing 336 5 53 0.3 4,150 1.5 68,064,077 1.7 1,262
Furniture and related product manufacturing 337 5 37 0.2 664 0.2 7,708,366 0.2 893
Miscellaneous manufacturing 339 5 97 0.5 867 0.3 12,174,371 0.3 1,081
Wholesale trade 42 5 1,043 5.8 13,296 4.7 281,463,602 7.1 1,628
Merchant wholesalers, durable goods 423 5 594 3.3 8,209 2.9 171,635,926 4.3 1,608
Merchant wholesalers, nondurable goods 424 5 234 1.3 2,912 1.0 64,465,773 1.6 1,703
Electronic markets and agents and brokers 425 5 215 1.2 2,175 0.8 45,361,903 1.1 1,604
Retail trade 44-45 5 1,883 10.5 28,925 10.3 269,605,420 6.8 717
Motor vehicle and parts dealers 441 5 237 1.3 3,951 1.4 58,302,384 1.5 1,135
Building material and garden supply stores 444 5 141 0.8 3,743 1.3 46,246,594 1.2 950
Food and beverage stores 445 5 224 1.2 5,846 2.1 41,735,306 1.1 549
Food and beverage stores 449 5 192 1.1 1,873 0.7 26,533,921 0.7 1,090
Food and beverage stores 455 5 147 0.8 5,625 2.0 39,549,735 1.0 541
Food and beverage stores 456 5 240 1.3 1,561 0.6 14,910,308 0.4 735
Food and beverage stores 457 5 177 1.0 1,499 0.5 10,726,655 0.3 550
Food and beverage stores 458 5 211 1.2 2,129 0.8 13,411,932 0.3 485
Food and beverage stores 459 5 314 1.7 2,699 1.0 18,188,585 0.5 518
Transportation and warehousing 48-49 1 22 0.1 1,338 0.5 21,039,379 0.5 1,210
Transportation and warehousing 48-49 3 3 0.0 117 0.0 1,155,215 0.0 760
Transportation and warehousing 48-49 5 413 2.3 9,075 3.2 118,515,448 3.0 1,005
Air transportation 481 5 11 0.1 66 0.0 1,026,137 0.0 1,196
Rail transportation 482 5 2 0.0 0 0.0 0 0.0 0
Water transportation 483 5 1 0.0 0 0.0 0 0.0 0
Truck transportation 484 5 210 1.2 2,722 1.0 37,855,502 1.0 1,070
Transit and ground passenger transportation 485 3 1 0.0 0 0.0 0 0.0 0
Transit and ground passenger transportation 485 5 14 0.1 236 0.1 1,845,471 0.0 602
Support activities for transportation 488 3 1 0.0 0 0.0 0 0.0 0
Support activities for transportation 488 5 73 0.4 1,636 0.6 29,054,882 0.7 1,366
Postal service 491 1 22 0.1 1,338 0.5 21,039,379 0.5 1,210
Postal service 491 5 4 0.0 0 0.0 0 0.0 0
Couriers and messengers 492 5 37 0.2 1,478 0.5 13,818,706 0.3 719
Warehousing and storage 493 3 1 0.0 0 0.0 0 0.0 0
Warehousing and storage 493 5 61 0.3 2,869 1.0 34,441,323 0.9 924
Information 51 2 1 0.0 0 0.0 0 0.0 0
Information 51 3 12 0.1 255 0.1 2,058,466 0.1 622
Information 51 5 431 2.4 5,267 1.9 108,368,637 2.7 1,583
Motion picture and sound recording industries 512 5 32 0.2 142 0.1 929,144 0.0 505
Motion picture and sound recording industries 513 5 128 0.7 1,218 0.4 24,145,053 0.6 1,525
Internet publishing and broadcasting 516 2 1 0.0 0 0.0 0 0.0 0
Internet publishing and broadcasting 516 5 39 0.2 500 0.2 10,308,243 0.3 1,587
Telecommunications 517 5 83 0.5 2,964 1.1 63,711,023 1.6 1,654
ISPs, search portals, and data processing 518 5 92 0.5 337 0.1 7,879,904 0.2 1,797
Other information services 519 3 12 0.1 255 0.1 2,058,466 0.1 622
Other information services 519 5 57 0.3 107 0.0 1,395,270 0.0 1,000
Finance and insurance 52 5 1,136 6.3 11,758 4.2 301,111,451 7.6 1,970
Monetary authorities - central bank 521 5 11 0.1 15 0.0 439,492 0.0 2,205
Credit intermediation and related activities 522 5 414 2.3 7,785 2.8 179,961,577 4.6 1,778
Securities, commodity contracts, investments 523 5 246 1.4 831 0.3 38,630,706 1.0 3,574
Insurance carriers and related activities 524 5 445 2.5 3,066 1.1 81,007,298 2.0 2,032
Funds, trusts, and other financial vehicles 525 5 20 0.1 60 0.0 1,072,378 0.0 1,383
Real estate and rental and leasing 53 3 2 0.0 0 0.0 0 0.0 0
Real estate and rental and leasing 53 5 1,011 5.6 3,977 1.4 57,927,382 1.5 1,121
Real estate 531 3 2 0.0 0 0.0 0 0.0 0
Real estate 531 5 903 5.0 2,845 1.0 43,754,189 1.1 1,183
Rental and leasing services 532 5 102 0.6 1,002 0.4 13,010,691 0.3 999
Lessors of nonfinancial intangible assets 533 5 6 0.0 130 0.0 1,162,502 0.0 690
Professional and technical services 54 3 1 0.0 0 0.0 0 0.0 0
Professional and technical services 54 5 2,890 16.1 19,350 6.9 412,534,707 10.4 1,640
Professional and technical services 541 3 1 0.0 0 0.0 0 0.0 0
Professional and technical services 541 5 2,890 16.1 19,350 6.9 412,534,707 10.4 1,640
Management of companies and enterprises 55 5 160 0.9 5,655 2.0 128,999,209 3.3 1,755
Management of companies and enterprises 551 5 160 0.9 5,655 2.0 128,999,209 3.3 1,755
Administrative and waste services 56 3 2 0.0 0 0.0 0 0.0 0
Administrative and waste services 56 5 1,096 6.1 34,406 12.2 318,833,425 8.1 713
Administrative and support services 561 3 1 0.0 0 0.0 0 0.0 0
Administrative and support services 561 5 1,034 5.7 33,814 12.0 309,700,983 7.8 705
Waste management and remediation services 562 3 1 0.0 0 0.0 0 0.0 0
Waste management and remediation services 562 5 62 0.3 592 0.2 9,132,442 0.2 1,186
Educational services 61 2 2 0.0 0 0.0 0 0.0 0
Educational services 61 3 131 0.7 11,579 4.1 132,062,481 3.3 877
Educational services 61 5 259 1.4 5,422 1.9 58,756,457 1.5 834
Educational services 611 2 2 0.0 0 0.0 0 0.0 0
Educational services 611 3 131 0.7 11,579 4.1 132,062,481 3.3 877
Educational services 611 5 259 1.4 5,422 1.9 58,756,457 1.5 834
Health care and social assistance 62 1 1 0.0 174 0.1 3,715,996 0.1 1,640
Health care and social assistance 62 2 2 0.0 0 0.0 0 0.0 0
Health care and social assistance 62 3 32 0.2 8,159 2.9 116,320,197 2.9 1,097
Health care and social assistance 62 5 1,807 10.0 31,857 11.3 484,929,219 12.3 1,171
Ambulatory health care services 621 1 1 0.0 174 0.1 3,715,996 0.1 1,640
Ambulatory health care services 621 2 1 0.0 0 0.0 0 0.0 0
Ambulatory health care services 621 3 16 0.1 1,025 0.4 13,633,133 0.3 1,023
Ambulatory health care services 621 5 1,110 6.2 16,619 5.9 302,090,814 7.6 1,398
Hospitals 622 3 10 0.1 6,915 2.5 100,171,840 2.5 1,114
Hospitals 622 5 38 0.2 5,616 2.0 108,334,688 2.7 1,484
Nursing and residential care facilities 623 5 131 0.7 4,302 1.5 41,551,438 1.1 743
Social assistance 624 2 1 0.0 0 0.0 0 0.0 0
Social assistance 624 3 6 0.0 219 0.1 2,515,224 0.1 882
Social assistance 624 5 528 2.9 5,320 1.9 32,952,279 0.8 476
Arts, entertainment, and recreation 71 3 3 0.0 0 0.0 0 0.0 0
Arts, entertainment, and recreation 71 5 282 1.6 3,936 1.4 19,788,364 0.5 387
Performing arts and spectator sports 711 5 103 0.6 923 0.3 5,350,374 0.1 446
Museums, historical sites, zoos, and parks 712 3 1 0.0 0 0.0 0 0.0 0
Museums, historical sites, zoos, and parks 712 5 6 0.0 80 0.0 608,655 0.0 585
Amusements, gambling, and recreation 713 3 2 0.0 0 0.0 0 0.0 0
Amusements, gambling, and recreation 713 5 173 1.0 2,934 1.0 13,829,335 0.3 363
Accommodation and food services 72 5 1,449 8.1 24,973 8.9 133,561,949 3.4 411
Accommodation 721 5 122 0.7 2,028 0.7 14,351,288 0.4 544
Food services and drinking places 722 5 1,327 7.4 22,945 8.2 119,210,661 3.0 400
Other services, except public administration 81 3 1 0.0 0 0.0 0 0.0 0
Other services, except public administration 81 5 1,257 7.0 6,160 2.2 61,579,500 1.6 769
Repair and maintenance 811 5 436 2.4 2,681 1.0 29,931,519 0.8 859
Personal and laundry services 812 5 446 2.5 2,625 0.9 21,038,571 0.5 617
Membership associations and organizations 813 3 1 0.0 0 0.0 0 0.0 0
Membership associations and organizations 813 5 126 0.7 672 0.2 9,499,621 0.2 1,087
Private households 814 5 249 1.4 182 0.1 1,109,789 0.0 469
Public administration 92 1 27 0.2 777 0.3 15,440,353 0.4 1,529
Public administration 92 2 31 0.2 1,754 0.6 18,754,172 0.5 822
Public administration 92 3 28 0.2 4,662 1.7 60,351,904 1.5 996
Executive, legislative and general government 921 1 3 0.0 39 0.0 891,442 0.0 1,758
Executive, legislative and general government 921 2 5 0.0 69 0.0 848,785 0.0 946
Executive, legislative and general government 921 3 9 0.1 3,901 1.4 51,588,862 1.3 1,017
Justice, public order, and safety activities 922 1 10 0.1 298 0.1 6,190,460 0.2 1,598
Justice, public order, and safety activities 922 2 6 0.0 323 0.1 3,922,339 0.1 934
Justice, public order, and safety activities 922 3 15 0.1 629 0.2 6,959,335 0.2 851
Administration of human resource programs 923 1 3 0.0 116 0.0 2,444,147 0.1 1,616
Administration of human resource programs 923 2 7 0.0 897 0.3 9,217,011 0.2 790
Administration of environmental programs 924 1 3 0.0 6 0.0 97,986 0.0 1,256
Administration of environmental programs 924 2 3 0.0 0 0.0 0 0.0 0
Administration of environmental programs 924 3 1 0.0 0 0.0 0 0.0 0
Community and housing program administration 925 3 1 0.0 0 0.0 0 0.0 0
Administration of economic programs 926 1 6 0.0 86 0.0 2,015,421 0.1 1,796
Administration of economic programs 926 2 9 0.1 411 0.1 4,457,435 0.1 834
Administration of economic programs 926 3 2 0.0 0 0.0 0 0.0 0
National security and international affairs 928 1 2 0.0 231 0.1 3,800,897 0.1 1,266
National security and international affairs 928 2 1 0.0 0 0.0 0 0.0 0
Unclassified establishments 99 5 13 0.1 42 0.0 392,223 0.0 713
Unclassified establishments 999 5 13 0.1 42 0.0 392,223 0.0 713

4.1 Census Tract Demographic-Economic Characteristics .. goto topics
There are 123 tracts in this county; see their characteristics in the table below. The subject matter columns in this table are customizable and based on the subject matter items file used/selected. The file C:\dede\api_items_acs20_base.dbf has been written to your computer and used to develop the following table. See about census tracts .. additional tract data resources
GEOID TOTPOPA20 MPOPA20 FPOPA20 WHITE1A20 BLACK1A20 AIAN1A20 ASIAN1A20 NHOPI1A20 OTHER1A20 MULTIA20 HISPA20 POP65UPA20 POPHHA20 HHA20 FAMA20 POP25UPA20 HSGRADMA20 HSGRADFA20 TOTHSGA20 OWNOCCA20 RNTOCCA20 VACANTA20 MHIA20 MFIA20 MHVA20 MDRENTA20 GINIA20
45045000100 2,573 1,743 830 1,779 616 0 69 0 8 101 139 140 1,369 678 266 1,900 420 53 678 274 404 161 82,941 121,875 373,300 1,022 0
45045000200 1,651 802 849 1,451 57 0 39 0 44 60 127 324 1,651 963 400 1,447 72 18 963 317 646 180 87,298 173,750 526,100 1,670 1
45045000400 1,647 837 810 1,322 269 0 5 0 4 47 59 191 1,636 870 293 1,345 31 50 870 335 535 129 70,192 127,250 283,700 1,222 1
45045000500 1,453 729 724 696 646 3 35 0 40 33 66 548 1,345 813 217 1,180 277 165 813 213 600 87 19,699 130,313 307,000 570 1
45045000700 2,881 1,670 1,211 1,537 1,113 23 9 0 44 155 138 406 2,598 1,444 500 2,299 297 279 1,444 304 1,140 212 61,094 -6 -6 1,118 1
45045000800 1,503 657 846 453 837 0 6 0 159 48 208 87 1,483 473 273 803 144 208 473 185 288 56 31,525 38,897 109,000 776 0
45045000900 988 534 454 377 566 0 0 0 8 37 8 161 920 469 167 797 137 69 469 170 299 68 51,023 76,563 234,400 739 1
45045001000 2,438 1,378 1,060 2,119 225 0 19 0 0 75 0 284 2,438 1,119 539 1,793 126 90 1,119 596 523 123 58,917 115,774 470,000 777 0
45045001101 3,912 1,975 1,937 3,372 84 6 4 79 321 46 149 572 3,891 1,725 1,095 2,988 106 172 1,725 1,241 484 81 70,487 95,855 273,000 1,259 0
45045001102 2,249 964 1,285 2,000 59 0 27 0 116 47 56 179 2,249 927 656 1,543 25 33 927 699 228 32 127,292 168,750 328,100 1,523 0
45045001203 2,538 1,098 1,440 2,098 158 4 99 6 35 138 182 140 660 241 175 458 9 22 241 110 131 12 73,594 76,771 251,900 1,003 0
45045001204 2,467 1,193 1,274 1,716 689 0 17 0 9 36 78 254 2,467 1,374 613 1,895 161 102 1,374 674 700 138 58,418 77,946 190,100 975 0
45045001205 1,155 585 570 774 267 8 0 56 0 50 19 128 1,155 584 261 843 116 68 584 252 332 59 45,658 44,958 227,900 800 0
45045001302 1,420 730 690 1,285 90 0 4 0 30 11 90 152 1,420 708 344 1,139 88 69 708 528 180 28 73,854 85,750 225,400 1,142 0
45045001400 4,074 1,853 2,221 3,657 303 10 31 0 19 54 74 718 3,437 1,619 855 2,568 58 88 1,619 1,012 607 11 75,313 199,688 481,800 1,244 1
45045001501 4,725 2,015 2,710 4,194 270 0 37 0 13 211 89 563 4,725 1,904 1,215 3,349 75 134 1,904 1,546 358 147 110,938 139,191 483,400 1,062 0
45045001502 2,500 1,108 1,392 288 2,023 24 77 0 35 53 81 453 2,500 997 631 1,550 167 291 997 483 514 161 26,577 27,079 74,600 859 1
45045001600 4,964 2,323 2,641 4,114 302 97 59 38 168 186 683 852 4,964 1,929 1,342 3,267 349 491 1,929 1,499 430 188 47,686 81,726 232,900 857 0
45045001700 3,725 1,768 1,957 2,444 466 0 452 0 288 75 851 597 3,710 1,642 937 2,497 224 167 1,642 807 835 176 41,765 57,386 137,500 746 0
45045001803 3,913 2,002 1,911 3,173 272 0 75 25 47 321 1,005 584 3,913 1,606 992 2,761 558 436 1,606 949 657 219 51,770 57,469 133,400 877 0
45045001804 4,358 1,928 2,430 3,676 471 47 96 0 1 67 257 648 4,358 1,693 1,161 2,900 211 256 1,693 1,228 465 132 66,929 95,729 202,600 994 0
45045001805 4,953 2,451 2,502 4,687 169 0 47 0 0 50 57 939 4,915 1,949 1,276 3,635 189 276 1,949 1,553 396 137 85,393 108,500 247,400 847 0
45045001807 5,341 2,345 2,996 4,139 588 95 183 0 227 109 671 1,184 5,341 2,346 1,328 3,864 244 354 2,346 1,373 973 172 56,500 93,523 236,800 1,006 0
45045001808 3,363 1,648 1,715 2,096 651 0 348 0 145 123 349 393 3,363 1,848 579 2,260 190 178 1,848 51 1,797 448 53,036 75,398 -6 1,119 0
45045001809 3,047 1,236 1,811 2,308 373 0 184 0 54 128 307 453 3,047 1,657 622 2,193 111 241 1,657 592 1,065 214 46,202 55,114 242,000 1,066 0
45045001810 3,568 1,855 1,713 1,901 881 37 186 29 230 304 972 317 3,568 1,743 791 2,546 328 316 1,743 337 1,406 123 45,759 54,120 158,000 986 0
45045001900 7,002 3,236 3,766 5,539 1,422 0 21 0 15 5 15 1,672 6,967 2,971 2,035 4,996 102 675 2,971 2,197 774 143 124,280 158,279 489,600 1,254 1
45045002001 2,909 1,287 1,622 301 2,483 0 0 0 112 13 227 463 2,909 1,300 892 1,606 268 253 1,300 663 637 50 20,714 29,122 115,800 838 1
45045002003 4,974 2,173 2,801 1,334 2,504 105 10 0 843 178 1,662 530 4,974 1,561 1,105 2,784 344 544 1,561 721 840 130 29,330 30,275 76,900 785 0
45045002005 4,436 2,063 2,373 1,632 1,996 8 127 0 68 605 484 478 4,424 1,621 1,040 2,890 501 422 1,621 909 712 126 47,036 58,349 113,500 850 0
45045002103 3,396 1,424 1,972 2,092 1,037 6 0 0 52 209 124 645 3,355 1,438 921 2,425 410 198 1,438 1,133 305 108 66,452 121,792 -6 1,123 1
45045002104 1,911 945 966 735 846 10 0 0 307 13 311 246 1,788 492 349 1,099 166 268 492 248 244 81 45,893 48,699 89,300 902 0
45045002105 2,369 1,174 1,195 1,327 826 20 0 0 128 68 548 238 2,369 938 467 1,642 266 271 938 396 542 151 36,473 41,058 65,600 1,050 0
45045002106 3,127 1,394 1,733 1,392 966 4 83 0 672 10 918 291 3,127 1,345 798 2,082 313 475 1,345 543 802 183 31,580 31,833 90,900 883 0
45045002107 2,032 1,027 1,005 1,322 614 9 0 0 41 46 90 399 2,032 1,065 457 1,617 198 221 1,065 629 436 220 31,743 42,734 85,600 786 0
45045002108 1,570 699 871 847 605 0 0 0 47 71 68 247 1,570 703 350 1,143 167 145 703 370 333 110 39,539 38,800 130,700 945 1
45045002202 1,965 1,011 954 1,104 556 13 0 0 278 14 541 289 1,965 876 400 1,366 225 197 876 409 467 78 27,578 30,833 70,800 826 1
45045002203 3,651 1,783 1,868 2,526 198 266 14 0 403 244 1,302 428 3,646 1,211 700 2,332 214 353 1,211 424 787 134 41,272 46,802 95,000 814 0
45045002204 3,085 1,628 1,457 2,360 174 80 0 45 407 19 1,293 320 3,085 869 495 2,151 158 496 869 294 575 121 38,498 38,750 94,700 724 0
45045002301 3,896 1,811 2,085 2,466 381 0 29 0 475 545 1,058 534 3,896 1,543 914 2,764 420 473 1,543 888 655 189 40,354 48,611 150,700 850 0
45045002302 4,088 2,176 1,912 1,835 1,028 0 85 136 778 226 1,098 479 4,079 1,523 844 2,596 437 376 1,523 784 739 253 33,349 41,310 119,200 840 0
45045002303 1,918 776 1,142 810 614 8 7 0 464 15 620 199 1,877 660 368 1,063 107 257 660 178 482 203 26,712 28,875 53,300 814 0
45045002304 2,832 1,192 1,640 1,158 1,484 0 39 108 0 43 163 696 2,832 1,442 723 2,143 216 632 1,442 465 977 114 28,284 105,365 589,800 833 1
45045002403 4,747 2,453 2,294 4,557 138 0 0 0 49 3 29 961 4,747 1,703 1,360 3,154 478 558 1,703 1,399 304 262 65,165 74,709 205,500 747 0
45045002404 3,520 1,683 1,837 3,396 119 5 0 0 0 0 51 1,151 3,520 1,521 1,084 3,009 366 467 1,521 1,388 133 378 70,927 86,618 289,900 720 1
45045002405 7,174 3,631 3,543 6,550 259 29 25 0 161 150 420 1,278 7,174 2,883 2,204 5,080 723 696 2,883 2,582 301 118 72,747 88,545 202,000 774 0
45045002406 1,880 991 889 1,690 103 0 0 0 0 87 34 421 1,880 729 698 1,523 344 294 729 625 104 0 70,551 70,208 168,300 897 0
45045002503 10,748 5,649 5,099 8,599 761 41 967 0 153 227 1,487 1,633 10,748 3,815 2,674 6,996 410 728 3,815 2,917 898 391 69,044 86,207 206,200 1,232 0
45045002504 1,553 736 817 940 401 0 9 0 95 108 316 202 1,553 658 380 1,066 142 192 658 346 312 96 50,640 53,214 155,600 753 0
45045002505 3,450 1,760 1,690 2,127 810 157 0 0 261 95 821 589 3,435 1,591 832 2,360 300 487 1,591 717 874 62 32,236 45,667 127,200 773 0
45045002506 3,901 1,817 2,084 3,478 189 0 0 0 158 76 320 858 3,901 1,563 1,175 2,805 438 417 1,563 1,348 215 90 67,198 86,179 186,200 806 0
45045002507 4,279 2,022 2,257 3,524 358 0 10 0 55 332 467 995 4,104 1,814 1,106 3,142 403 525 1,814 1,283 531 168 57,171 73,382 182,000 904 0
45045002602 5,062 2,204 2,858 3,730 551 43 478 0 146 114 518 839 5,062 1,835 1,345 3,667 385 938 1,835 1,557 278 122 56,821 60,375 171,400 1,134 0
45045002604 5,696 3,042 2,654 4,084 638 31 91 17 464 371 979 739 5,691 2,176 1,500 3,874 495 309 2,176 1,715 461 258 71,680 84,435 174,300 789 0
45045002606 5,859 2,664 3,195 4,860 778 0 0 0 57 164 184 1,155 5,854 2,099 1,625 3,997 438 549 2,099 1,978 121 98 79,519 101,156 218,500 702 0
45045002609 6,298 3,205 3,093 5,677 395 0 133 0 58 35 307 1,316 6,298 2,562 1,677 4,392 165 259 2,562 1,750 812 152 91,053 109,896 350,700 1,090 0
45045002610 3,091 1,481 1,610 2,185 467 1 241 0 68 129 303 392 3,091 1,177 952 2,003 239 320 1,177 780 397 135 56,723 65,089 166,300 1,140 0
45045002611 5,324 2,558 2,766 3,954 873 0 60 0 104 333 264 957 5,324 2,178 1,546 4,002 471 819 2,178 1,812 366 188 68,327 78,613 187,400 818 0
45045002612 8,015 3,961 4,054 5,571 430 35 1,114 13 367 485 927 1,107 8,015 3,029 2,322 5,567 363 404 3,029 2,565 464 118 99,317 101,937 220,300 1,535 0
45045002613 1,486 770 716 1,439 17 0 30 0 0 0 54 152 1,486 508 424 902 0 48 508 508 0 0 113,095 112,857 308,100 -6 0
45045002701 4,343 2,058 2,285 4,215 25 6 6 0 45 46 41 1,316 4,324 1,673 1,256 3,220 231 262 1,673 1,510 163 131 84,888 93,941 291,200 695 0
45045002703 5,451 2,515 2,936 4,727 277 42 55 0 0 350 227 1,111 5,451 2,093 1,730 3,926 426 528 2,093 1,875 218 63 72,774 72,927 212,100 1,056 0
45045002704 2,592 1,099 1,493 2,222 285 0 0 0 0 85 50 430 2,592 994 743 1,767 160 100 994 729 265 7 59,342 59,889 166,600 1,005 0
45045002804 2,099 950 1,149 2,015 46 4 7 0 0 27 10 685 2,099 910 675 1,653 39 149 910 891 19 11 97,857 116,354 305,000 -6 0
45045002805 4,597 2,442 2,155 3,464 485 0 263 359 26 0 159 1,000 4,555 2,321 1,111 3,351 205 310 2,321 1,124 1,197 445 48,125 95,664 247,700 879 1
45045002811 9,615 4,524 5,091 6,677 1,369 0 837 59 410 263 513 1,343 9,538 4,052 2,519 6,820 289 551 4,052 1,860 2,192 614 75,227 92,753 183,100 1,194 0
45045002812 7,091 3,221 3,870 5,121 1,107 0 438 0 118 307 526 1,142 6,978 2,574 1,812 4,759 422 340 2,574 2,290 284 271 87,076 102,750 215,600 1,289 0
45045002813 4,718 2,263 2,455 4,076 209 14 270 0 32 117 279 673 4,718 1,692 1,560 3,166 101 192 1,692 1,603 89 25 142,083 131,326 490,700 1,813 0
45045002814 6,186 3,030 3,156 5,111 506 0 344 0 39 186 348 744 6,186 2,013 1,789 3,962 134 300 2,013 1,874 139 29 122,694 130,717 304,000 1,986 0
45045002815 8,151 4,273 3,878 7,053 592 0 170 0 112 224 498 1,004 8,151 2,348 2,027 5,718 744 292 2,348 2,241 107 24 129,755 134,030 375,900 -6 0
45045002817 4,251 2,143 2,108 3,911 119 101 36 0 0 84 23 802 4,251 1,655 1,256 2,999 199 197 1,655 1,320 335 0 92,284 95,625 278,400 1,763 0
45045002818 3,327 1,368 1,959 2,206 90 0 421 0 479 131 382 533 3,150 1,233 746 2,073 98 169 1,233 283 950 379 54,893 79,565 -6 1,058 1
45045002819 5,225 2,402 2,823 3,868 1,040 0 79 21 27 190 568 1,365 5,156 2,415 1,426 4,003 183 400 2,415 1,198 1,217 130 77,691 105,114 295,000 1,206 0
45045002820 2,395 1,161 1,234 1,378 157 0 597 67 49 147 48 392 2,224 1,080 679 1,973 227 202 1,080 345 735 38 71,058 81,191 230,200 986 0
45045002821 5,214 2,516 2,698 4,284 382 13 399 0 0 136 341 525 5,214 1,805 1,428 3,245 121 240 1,805 1,424 381 140 83,049 88,493 225,700 1,759 0
45045002822 7,361 3,938 3,423 4,941 919 13 755 0 27 706 972 330 7,361 2,130 2,024 4,174 315 374 2,130 2,055 75 33 109,115 113,839 292,500 1,352 0
45045002901 7,158 3,165 3,993 3,835 2,696 43 53 0 256 275 650 837 7,121 2,764 1,860 4,880 625 684 2,764 1,436 1,328 192 61,062 64,741 163,100 1,009 0
45045002903 7,656 3,740 3,916 5,115 1,642 0 156 0 400 343 963 1,232 7,605 3,158 1,788 5,370 586 662 3,158 1,919 1,239 14 58,515 66,250 146,700 977 0
45045002904 6,669 3,378 3,291 3,620 2,206 0 441 99 132 171 356 846 6,669 2,719 1,738 4,771 578 573 2,719 1,576 1,143 77 67,928 73,973 178,900 1,034 0
45045002905 5,348 2,578 2,770 3,910 1,113 0 36 0 170 119 335 808 5,348 1,746 1,392 3,556 429 451 1,746 1,536 210 40 73,553 87,143 191,700 1,755 0
45045003005 2,991 1,479 1,512 1,812 956 0 16 0 143 64 205 406 2,951 1,274 704 2,093 331 292 1,274 723 551 107 52,556 66,129 136,600 1,050 0
45045003008 7,226 3,726 3,500 5,862 638 64 442 0 72 148 461 1,314 7,226 2,571 1,957 4,962 470 224 2,571 2,304 267 93 93,988 95,938 258,700 1,723 0
45045003009 9,150 3,804 5,346 8,407 435 25 64 0 25 194 220 1,197 9,150 2,894 2,295 5,732 834 523 2,894 2,603 291 16 90,769 98,425 308,600 942 0
45045003010 8,409 4,105 4,304 6,572 1,240 15 88 0 201 293 608 915 8,409 2,890 2,374 5,627 460 679 2,890 2,613 277 299 88,790 102,528 240,100 1,144 0
45045003011 7,144 3,599 3,545 5,571 1,211 32 108 0 66 156 277 1,070 7,014 2,227 1,818 4,443 536 676 2,227 2,004 223 79 80,429 92,083 217,800 778 0
45045003012 5,265 2,378 2,887 3,706 1,289 0 83 0 134 53 618 617 5,260 1,987 1,300 3,687 414 682 1,987 1,234 753 0 68,229 69,567 126,900 1,030 0
45045003013 8,096 4,040 4,056 5,203 2,407 16 14 0 195 261 484 775 8,096 2,869 2,322 5,234 830 776 2,869 1,875 994 108 81,390 82,150 192,800 1,240 0
45045003014 5,284 2,456 2,828 4,309 659 32 44 0 47 193 161 905 5,284 2,007 1,519 3,876 398 417 2,007 1,723 284 0 90,917 101,051 188,700 1,111 0
45045003016 4,331 2,187 2,144 3,067 711 0 40 0 103 410 450 596 4,331 1,466 1,253 2,813 179 218 1,466 1,301 165 36 105,313 118,750 289,600 1,360 0
45045003017 4,971 2,515 2,456 3,511 1,028 26 88 28 18 272 194 512 4,971 1,582 1,367 3,188 291 190 1,582 1,458 124 14 101,250 110,396 253,800 -6 0
45045003101 8,963 4,672 4,291 5,648 2,405 160 18 0 163 569 803 1,249 8,872 3,218 2,382 6,007 985 569 3,218 2,320 898 452 61,122 70,072 151,500 833 0
45045003103 2,529 1,235 1,294 1,934 585 0 0 0 0 10 147 287 2,529 927 710 1,744 200 236 927 832 95 73 82,284 90,000 217,900 889 0
45045003104 3,284 1,900 1,384 2,402 47 0 0 0 824 11 866 370 3,284 1,068 744 1,967 452 258 1,068 1,003 65 68 45,047 50,652 190,400 815 0
45045003202 3,816 1,882 1,934 3,495 196 4 9 31 47 34 137 708 3,816 1,482 1,099 2,724 547 499 1,482 1,256 226 215 56,667 69,267 113,100 696 0
45045003203 3,965 2,507 1,458 3,111 791 12 0 0 36 15 242 540 3,020 1,084 892 3,080 567 198 1,084 971 113 97 63,667 65,000 171,200 825 0
45045003204 1,823 989 834 1,457 46 0 88 0 76 156 242 311 1,791 640 525 1,333 288 186 640 505 135 103 58,736 59,583 149,800 585 0
45045003301 7,300 3,533 3,767 5,371 1,420 77 0 0 46 386 757 1,057 7,300 2,662 1,876 4,968 682 765 2,662 2,007 655 144 52,741 53,564 109,100 857 0
45045003303 5,590 2,665 2,925 2,810 2,123 0 44 0 439 174 444 910 5,590 2,187 1,669 4,089 697 568 2,187 1,530 657 152 49,960 56,594 170,900 868 0
45045003304 7,663 3,631 4,032 3,706 3,453 0 50 0 204 250 781 1,075 7,628 2,888 2,079 5,596 873 1,103 2,888 2,590 298 252 60,731 63,019 158,800 1,061 0
45045003401 779 406 373 333 332 4 0 0 91 19 143 142 779 370 186 542 87 49 370 213 157 70 33,036 30,556 69,500 756 0
45045003500 2,440 1,163 1,277 1,107 1,020 0 0 0 135 178 202 290 2,440 1,035 649 1,779 291 320 1,035 510 525 113 45,929 51,681 98,100 821 1
45045003601 5,981 3,019 2,962 3,580 1,686 0 0 0 304 411 722 801 5,973 2,439 1,589 3,886 470 734 2,439 1,536 903 111 48,528 70,033 123,400 772 0
45045003602 2,937 1,350 1,587 655 1,754 34 80 0 385 29 540 505 2,937 1,072 713 1,815 299 303 1,072 587 485 32 31,694 41,208 125,200 723 0
45045003701 6,948 3,844 3,104 4,357 877 0 0 0 398 1,316 1,278 892 6,907 2,177 1,635 4,123 526 552 2,177 1,821 356 72 53,340 70,625 153,400 783 0
45045003704 4,141 2,098 2,043 2,221 699 137 94 0 776 214 1,589 522 4,141 1,431 854 2,726 644 494 1,431 667 764 107 30,082 36,304 114,300 958 0
45045003705 2,134 1,018 1,116 1,319 321 0 31 0 355 108 412 227 2,134 778 429 1,351 154 193 778 477 301 67 37,143 42,102 141,300 897 1
45045003706 3,319 1,624 1,695 1,660 864 0 144 24 429 198 851 600 3,213 1,236 837 2,304 410 448 1,236 692 544 0 37,300 42,018 107,600 702 0
45045003707 3,375 1,504 1,871 1,870 828 0 68 0 413 196 571 717 3,262 1,493 863 2,475 391 506 1,493 842 651 68 37,093 41,797 119,700 748 0
45045003802 4,658 2,353 2,305 4,022 493 12 30 0 49 52 147 1,041 4,609 2,092 1,449 3,441 271 263 2,092 1,240 852 237 58,403 59,145 166,700 992 0
45045003803 5,005 2,122 2,883 4,492 167 0 239 0 37 70 82 1,517 2,758 1,234 1,064 2,426 471 586 1,234 1,142 92 38 72,054 72,246 393,400 2,246 0
45045003804 2,594 1,109 1,485 2,413 40 0 23 0 65 53 187 724 2,594 1,191 758 1,943 174 369 1,191 876 315 65 47,554 52,368 163,200 843 0
45045003902 4,125 1,928 2,197 3,795 142 38 2 16 38 94 189 846 4,107 1,651 1,295 3,063 463 660 1,651 1,472 179 35 69,688 73,545 224,400 950 0
45045003903 5,280 2,363 2,917 4,510 226 20 192 0 90 242 333 775 5,271 1,782 1,351 3,231 500 483 1,782 1,471 311 129 49,510 62,765 152,300 749 0
45045003905 4,228 2,027 2,201 3,446 684 0 49 0 0 49 30 944 4,184 1,734 1,082 3,275 508 545 1,734 1,334 400 385 47,112 50,671 178,000 878 0
45045003906 2,927 1,336 1,591 1,802 983 0 0 0 119 23 190 452 2,927 979 659 1,483 42 119 979 496 483 0 36,181 77,614 268,600 673 1
45045004001 3,764 1,817 1,947 3,562 67 18 0 20 24 73 142 681 3,627 1,240 981 2,452 383 421 1,240 1,085 155 47 53,702 62,309 153,800 950 0
45045004003 3,853 2,188 1,665 3,391 235 23 51 6 54 93 141 439 2,038 887 557 1,527 220 152 887 790 97 191 55,019 76,654 154,700 612 0
45045004004 1,865 1,069 796 1,856 4 0 0 0 5 0 9 665 1,865 913 579 1,593 146 120 913 841 72 214 83,895 96,625 716,200 733 0
45045004101 3,660 1,733 1,927 3,474 54 35 0 0 33 64 71 584 3,584 1,362 897 2,604 224 461 1,362 1,138 224 462 46,218 57,413 91,300 684 0
45045004102 995 424 571 959 13 7 0 0 16 0 27 221 995 332 281 672 63 113 332 305 27 359 63,750 68,207 146,300 -6 0
45045004200 2,440 1,133 1,307 1,919 265 0 166 37 40 13 20 456 2,440 1,049 743 1,777 69 104 1,049 782 267 122 164,148 198,207 808,400 844 1
45045004300 4,642 2,035 2,607 999 3,467 0 15 0 109 52 178 1,028 4,642 2,376 1,036 3,518 527 789 2,376 800 1,576 243 29,158 43,611 224,000 702 1
45045004400 2,139 864 1,275 1,230 738 8 47 0 16 100 288 225 2,107 1,144 505 1,510 103 237 1,144 238 906 108 39,423 50,550 138,400 1,007 0


Thematic Pattern & Reference Maps for Greenville County, SC & Vicinity
View patterns of economic prosperity by block group for this area using the Visual Data Analytics (VDA) Web GIS.

Follow these steps:
  • Sign in and choose the "MetroDynamics" GIS project.
  • Click this link to start VDA .. the map interface opens in a new window.
  • In upper right, above map window of VDA page, enter the "County" code 45045 .. key the code into the edit box.
  • Clicking the Query button, the map window refreshes with the zoom to county view.
  • Use Zoom buttons (or zoom by mouse window) to preferred view.

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



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