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  Situation & Outlook Report
  Fresno County, CA  
  .. an information resource developed by ProximityOne .. more about these resources
  .. created 09/17/22

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.

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

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

Income & Poverty: 2018-2020
For most counties, median household income (MHI) has increased between 2018 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 2018-2020 for this county, corresponding state and the U.S. This is the only source of current year estimates of MHI and poverty for all counties.

Fresno County 2018
  Median Household Income: $52,318
  Ages 0-17 in Poverty: 84,228 ... poverty rate: 30.2 ... Universe: 278,724
  Ages 5-17 in Families in Poverty: 59,089 ... poverty rate: 29.3 ... Universe: 201,858
  All ages in Poverty: 208,627 ... poverty rate: 21.3 ... Universe: 978,257

Fresno County 2019
  Median Household Income: $56,926
  Ages 0-17 in Poverty: 80,569 ... poverty rate: 29.0 ... Universe: 277,361
  Ages 5-17 in Families in Poverty: 58,356 ... poverty rate: 28.8 ... Universe: 202,916
  All ages in Poverty: 200,873 ... poverty rate: 20.5 ... Universe: 980,933

Fresno County 2020
  Median Household Income: $61,401
  Ages 0-17 in Poverty: 63,763 ... poverty rate: 23.1 ... Universe: 275,906
  Ages 5-17 in Families in Poverty: 44,236 ... poverty rate: 21.7 ... Universe: 203,695
  All ages in Poverty: 168,153 ... poverty rate: 17.1 ... Universe: 982,375

California 2018
  Median Household Income: $75,250
  Ages 0-17 in Poverty: 1,539,628 ... poverty rate: 17.4 ... Universe: 8,861,486
  Ages 5-17 in Families in Poverty: 1,086,618 ... poverty rate: 16.9 ... Universe: 6,438,004
  All ages in Poverty: 4,972,955 ... poverty rate: 12.8 ... Universe: 38,818,530

California 2019
  Median Household Income: $80,423
  Ages 0-17 in Poverty: 1,363,913 ... poverty rate: 15.6 ... Universe: 8,723,360
  Ages 5-17 in Families in Poverty: 969,127 ... poverty rate: 15.2 ... Universe: 6,378,735
  All ages in Poverty: 4,560,419 ... poverty rate: 11.8 ... Universe: 38,733,501

California 2020
  Median Household Income: $83,001
  Ages 0-17 in Poverty: 1,260,145 ... poverty rate: 14.6 ... Universe: 8,609,649
  Ages 5-17 in Families in Poverty: 898,424 ... poverty rate: 14.2 ... Universe: 6,332,102
  All ages in Poverty: 4,419,167 ... poverty rate: 11.5 ... Universe: 38,585,897

United States 2018
  Median Household Income: $61,937
  Ages 0-17 in Poverty: 12,997,532 ... poverty rate: 18.0 ... Universe: 72,163,269
  Ages 5-17 in Families in Poverty: 8,930,152 ... poverty rate: 17.0 ... Universe: 52,529,919
  All ages in Poverty: 41,852,315 ... poverty rate: 13.1 ... Universe: 319,184,033

United States 2019
  Median Household Income: $65,712
  Ages 0-17 in Poverty: 12,000,470 ... poverty rate: 16.8 ... Universe: 71,633,453
  Ages 5-17 in Families in Poverty: 8,258,906 ... poverty rate: 15.8 ... Universe: 52,324,733
  All ages in Poverty: 39,490,096 ... poverty rate: 12.3 ... Universe: 320,118,791

United States 2020
  Median Household Income: $67,340
  Ages 0-17 in Poverty: 11,204,423 ... poverty rate: 15.7 ... Universe: 71,388,957
  Ages 5-17 in Families in Poverty: 7,798,566 ... poverty rate: 14.9 ... Universe: 52,357,364
  All ages in Poverty: 38,371,394 ... poverty rate: 11.9 ... Universe: 321,478,113

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

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

02. How & Why Fresno County, CA is Changing .. goto topics
Fresno County, CA (06019), part of Fresno, CA MSA (23420), changed in population from 932,011 (2010) to 1,000,918 (2020), a change of 68,907 (7.4%).
Factors accounting the change over the decade 2010 to 2020 include:
  • Births 2010-2020: 152,607
  • Deaths 2010-2020: 67,839
  • Natural Increase 2010-2020: 84,768
  • Net Migration 2010-2020: -15,594

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
Fresno County, CA .. Census 2010, Census 2020 and Change 2010-2020
.. using Census 2020 P.L. 94-171 data (released 8/12/21)
.. use this Interactive Table to view/rank/compare counties 2010-2020.
.. use the VDA Web GIS to access/map these data to the census block level.
Subject Matter Item 2010 2010% 2020 2020% 2010-20 Change2010-20% Change
Total population 930,450 100.0 1,008,654 100.0 78,204 8.4
  One race 888,164 95.5 845,251 83.8 -42,913 -4.8
    White alone 515,145 55.4 374,678 37.1 -140,467 -27.3
    Black alone 49,523 5.3 48,707 4.8 -816 -1.6
    American India/Alaskan Native alone 15,649 1.7 22,043 2.2 6,394 40.9
    Asian alone 89,357 9.6 113,328 11.2 23,971 26.8
    Native Hawaiian and Other Pacific Islander alone 1,405 0.2 1,665 0.2 260 18.5
    Other race 217,085 23.3 284,830 28.2 67,745 31.2
  Two or more races 42,286 4.5 163,403 16.2 121,117 286.4
  White, Non-Hispanic 304,522 32.7 271,889 27.0 -32,633 -10.7
  Black Non-Hispanic 45,005 4.8 44,295 4.4 -710 -1.6
  Hispanic (of any race) 468,070 50.3 540,743 53.6 72,673 15.5
Total population, 18 years or older 652,943 70.2 730,245 72.4 77,302 11.8
  One race 630,144 67.7 621,483 61.6 -8,661 -1.4
    White alone 384,420 41.3 292,657 29.0 -91,763 -23.9
    Black alone 33,624 3.6 34,327 3.4 703 2.1
    American India/Alaskan Native alone 10,534 1.1 15,363 1.5 4,829 45.8
    Asian alone 61,828 6.6 83,051 8.2 21,223 34.3
    Native Hawaiian and Other Pacific Islander alone 997 0.1 1,216 0.1 219 22.0
    Other race 138,741 14.9 194,869 19.3 56,128 40.5
  Two or more races 22,799 2.5 108,762 10.8 85,963 377.0
  White, Non-Hispanic 249,051 26.8 226,073 22.4 -22,978 -9.2
  Black Non-Hispanic 31,469 3.4 32,283 3.2 814 2.6
  Hispanic (of any race) 295,803 31.8 362,203 35.9 66,400 22.4
Group Quarters population 17,523 1.9 18,416 1.8 893 5.1
  Group Quarters, institutionalized population 12,029 1.3 11,403 1.1 -626 -5.2
  Group Quarters, noninstitutionalized population 5,494 0.6 7,013 0.7 1,519 27.6
Housing Units 315,531 100.0 338,441 100.0 22,910 7.3
  Occupied 289,391 91.7 319,296 94.3 29,905 10.3
  Vacant 26,140 8.3 19,145 5.7 -6,995 -26.8


1.1 Population & Components of Change .. goto topics
Based on Census Bureau model-based population estimates, the Fresno County, CA population changed from 932,011 in 2010 to 1,000,918 in 2020, a change of 68,907 (7.4%).
Population/Component 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Population 932,011 939,251 944,779 951,143 960,072 968,889 976,231 984,726 991,298 997,847 1,000,918
Births 3,897 16,320 15,946 15,731 15,854 15,657 15,205 14,794 14,408 14,441 14,251
Deaths 1,590 5,995 6,268 6,523 6,322 6,601 6,569 7,060 7,192 7,368 7,941
Natural Increase 2,307 10,325 9,678 9,208 9,532 9,056 8,636 7,734 7,216 7,073 6,310
Net Migration -789 -3,076 -4,137 -2,799 -456 -146 -1,278 797 -639 -565 -3,295
    International 75 454 512 916 1,273 1,778 1,925 1,237 506 -59 41
    Domestic 41 -864 -3,530 -4,649 -3,715 -1,729 -1,924 -3,203 -440 -1,145 -506
Group Quarters 17,204 16,835 16,318 16,819 17,316 17,900 17,434 17,396 16,973 17,669 17,672

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

1.2 City/Place Demographic-Economic Characteristics .. goto topics
City/Place 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Clovis city 0614218 96,386 97,557 98,588 99,631 101,904 103,828 106,353 109,316 111,824 114,584  
Coalinga city 0614274 18,330 18,303 17,055 16,974 16,647 16,755 16,827 16,988 16,774 17,179  
Firebaugh city 0624134 7,601 7,764 7,894 8,053 8,259 8,276 8,290 8,294 8,315 8,296  
Fowler city 0625436 5,665 5,921 5,929 5,938 6,028 6,242 6,353 6,487 6,750 6,790  
Fresno city 0627000 497,769 501,429 505,414 508,880 514,100 518,203 521,426 525,373 528,814 531,576  
Huron city 0636084 6,752 6,745 6,754 6,765 6,779 6,802 6,924 7,285 7,278 7,281  
Kerman city 0638226 13,634 13,877 14,285 14,299 14,329 14,412 14,534 14,860 14,987 15,282  
Kingsburg city 0638562 11,464 11,556 11,636 11,698 11,727 11,800 11,831 12,013 12,071 12,108  
Orange Cove city 0654008 9,750 10,190 10,205 10,215 10,220 10,258 10,272 10,293 10,286 10,273  
Parlier city 0655856 14,614 14,703 14,789 14,882 14,991 15,141 15,213 15,283 15,342 15,618  
Reedley city 0660242 24,414 24,768 24,848 25,002 25,395 25,541 25,583 25,602 25,607 25,658  
San Joaquin city 0667126 3,995 3,993 3,996 4,005 4,004 4,013 4,020 4,026 4,022 4,021  
Selma city 0670882 23,459 23,570 23,886 24,259 24,325 24,440 24,683 24,695 24,758 24,825  
Balance of Fresno County 0699990 162,576 163,085 163,743 164,826 165,693 167,449 168,036 168,115 168,340 168,760  
Mendota city 0646828 11,332 11,501 11,519 11,512 11,505 11,526 11,541 11,543 11,526 11,511  
Sanger city 0667056 24,298 24,444 24,504 24,575 24,661 24,802 24,944 25,065 25,256 25,339  

Examine city/place population estimates and compare places in Fresno County, CA to other areas using this interactive table.
.. use the county code 06019 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 496 mover partner areas for Fresno County, CA. There were a total inbound movers of 34123 and a total outbound movers of 28744, for a net movers of 1077 (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 d:\dede\movers_2019_06019.dbf.
Residence 1 Year Age Geocode Moved to 06019 Moved from 06019 Net Movers
Africa null 96 null null
Asia null 1765 null null
Central America null 1776 null null
Caribbean null 17 null null
Europe null 466 null null
U.S. Island Areas null 5 null null
Northern America null 119 null null
Oceania and At Sea null 37 null null
South America null 21 null null
Baldwin County, Alabama 01003 0 8 -8
Cullman County, Alabama 01043 0 30 -30
Dallas County, Alabama 01047 0 6 -6
Madison County, Alabama 01089 8 0 8
Marshall County, Alabama 01095 8 0 8
Shelby County, Alabama 01117 52 0 52
Tuscaloosa County, Alabama 01125 0 204 -204
Anchorage Municipality, Alaska 02020 50 72 -22
Fairbanks North Star Borough, Alaska 02090 11 0 11
Juneau City and Borough, Alaska 02110 0 9 -9
Ketchikan Gateway Borough, Alaska 02130 13 0 13
Kodiak Island Borough, Alaska 02150 0 3 -3
Matanuska-Susitna Borough, Alaska 02170 0 1 -1
Sitka City and Borough, Alaska 02220 0 52 -52
Cochise County, Arizona 04003 0 131 -131
Coconino County, Arizona 04005 7 11 -4
Maricopa County, Arizona 04013 205 334 -129
Mohave County, Arizona 04015 0 9 -9
Pima County, Arizona 04019 57 62 -5
Pinal County, Arizona 04021 39 48 -9
Yavapai County, Arizona 04025 7 0 7
Garland County, Arkansas 05051 0 85 -85
Jefferson County, Arkansas 05069 7 27 -20
Lawrence County, Arkansas 05075 0 5 -5
Washington County, Arkansas 05143 53 0 53
White County, Arkansas 05145 8 0 8
Alameda County, California 06001 873 634 239
Amador County, California 06005 16 116 -100
Butte County, California 06007 267 99 168
Calaveras County, California 06009 11 0 11
Colusa County, California 06011 32 4 28
Contra Costa County, California 06013 814 426 388
Del Norte County, California 06015 86 14 72
El Dorado County, California 06017 172 58 114
Glenn County, California 06021 0 24 -24
Humboldt County, California 06023 51 46 5
Imperial County, California 06025 97 505 -408
Kern County, California 06029 1246 1527 -281
Kings County, California 06031 786 1488 -702
Lake County, California 06033 5 0 5
Lassen County, California 06035 51 58 -7
Los Angeles County, California 06037 2286 1647 639
Madera County, California 06039 2805 2009 796
Marin County, California 06041 168 343 -175
Mariposa County, California 06043 129 101 28
Mendocino County, California 06045 19 0 19
Merced County, California 06047 746 460 286
Modoc County, California 06049 150 0 150
Mono County, California 06051 24 0 24
Monterey County, California 06053 718 701 17
Napa County, California 06055 47 68 -21
Nevada County, California 06057 35 14 21
Orange County, California 06059 361 581 -220
Placer County, California 06061 51 116 -65
Riverside County, California 06065 1014 284 730
Sacramento County, California 06067 1461 1140 321
San Benito County, California 06069 0 86 -86
San Bernardino County, California 06071 544 488 56
San Diego County, California 06073 583 646 -63
San Francisco County, California 06075 251 130 121
San Joaquin County, California 06077 400 637 -237
San Luis Obispo County, California 06079 461 665 -204
San Mateo County, California 06081 237 230 7
Santa Barbara County, California 06083 124 227 -103
Santa Clara County, California 06085 921 456 465
Santa Cruz County, California 06087 120 170 -50
Shasta County, California 06089 144 49 95
Sierra County, California 06091 0 16 -16
Siskiyou County, California 06093 119 3 116
Solano County, California 06095 126 237 -111
Sonoma County, California 06097 58 140 -82
Stanislaus County, California 06099 316 346 -30
Sutter County, California 06101 11 21 -10
Tehama County, California 06103 40 46 -6
Trinity County, California 06105 0 6 -6
Tulare County, California 06107 2139 1915 224
Tuolumne County, California 06109 81 70 11
Ventura County, California 06111 44 232 -188
Yolo County, California 06113 175 103 72
Alamosa County, Colorado 08003 16 0 16
Arapahoe County, Colorado 08005 5 12 -7
Bent County, Colorado 08011 5 0 5
Boulder County, Colorado 08013 0 30 -30
Denver County, Colorado 08031 1 0 1
Eagle County, Colorado 08037 31 0 31
El Paso County, Colorado 08041 92 16 76
Jefferson County, Colorado 08059 11 0 11
La Plata County, Colorado 08067 0 16 -16
Logan County, Colorado 08075 0 5 -5
Rio Blanco County, Colorado 08103 18 0 18
Summit County, Colorado 08117 19 0 19
Weld County, Colorado 08123 0 71 -71
Fairfield County, Connecticut 09001 19 0 19
Hartford County, Connecticut 09003 0 24 -24
New Haven County, Connecticut 09009 20 13 7
Windham County, Connecticut 09015 1 0 1
New Castle County, Delaware 10003 51 0 51
Alachua County, Florida 12001 6 0 6
Brevard County, Florida 12009 19 29 -10
Escambia County, Florida 12033 0 12 -12
Hillsborough County, Florida 12057 0 15 -15
Miami-Dade County, Florida 12086 34 16 18
Orange County, Florida 12095 81 0 81
Palm Beach County, Florida 12099 21 14 7
Polk County, Florida 12105 20 35 -15
Putnam County, Florida 12107 15 0 15
St. Lucie County, Florida 12111 0 7 -7
Santa Rosa County, Florida 12113 0 15 -15
Sarasota County, Florida 12115 0 17 -17
Volusia County, Florida 12127 0 18 -18
Charlton County, Georgia 13049 0 9 -9
Clayton County, Georgia 13063 0 141 -141
Cobb County, Georgia 13067 177 23 154
Forsyth County, Georgia 13117 0 28 -28
Fulton County, Georgia 13121 19 0 19
Hall County, Georgia 13139 4 0 4
Muscogee County, Georgia 13215 106 12 94
Richmond County, Georgia 13245 0 15 -15
Troup County, Georgia 13285 0 55 -55
Honolulu County, Hawaii 15003 25 146 -121
Maui County, Hawaii 15009 15 0 15
Ada County, Idaho 16001 0 254 -254
Bingham County, Idaho 16011 2 0 2
Bonner County, Idaho 16017 0 87 -87
Boundary County, Idaho 16021 0 26 -26
Canyon County, Idaho 16027 0 38 -38
Elmore County, Idaho 16039 0 33 -33
Fremont County, Idaho 16043 0 9 -9
Gem County, Idaho 16045 28 0 28
Nez Perce County, Idaho 16069 0 1 -1
Clinton County, Illinois 17027 0 22 -22
Cook County, Illinois 17031 77 234 -157
DuPage County, Illinois 17043 48 0 48
Kane County, Illinois 17089 0 32 -32
Kankakee County, Illinois 17091 0 25 -25
Lake County, Illinois 17097 1 25 -24
Will County, Illinois 17197 25 0 25
Delaware County, Indiana 18035 0 14 -14
Fayette County, Indiana 18041 0 35 -35
Greene County, Indiana 18055 0 31 -31
Jasper County, Indiana 18073 0 21 -21
Johnson County, Indiana 18081 0 3 -3
Lake County, Indiana 18089 16 0 16
Madison County, Indiana 18095 0 10 -10
Marion County, Indiana 18097 18 30 -12
St. Joseph County, Indiana 18141 14 0 14
Tippecanoe County, Indiana 18157 0 59 -59
Calhoun County, Iowa 19025 0 1 -1
Carroll County, Iowa 19027 0 9 -9
Fayette County, Iowa 19065 0 2 -2
Grundy County, Iowa 19075 0 2 -2
Jasper County, Iowa 19099 9 0 9
Osceola County, Iowa 19143 0 54 -54
Dickinson County, Kansas 20041 0 10 -10
Douglas County, Kansas 20045 13 35 -22
Finney County, Kansas 20055 0 13 -13
Ford County, Kansas 20057 0 3 -3
Geary County, Kansas 20061 10 0 10
McPherson County, Kansas 20113 0 3 -3
Marion County, Kansas 20115 0 6 -6
Meade County, Kansas 20119 0 11 -11
Morris County, Kansas 20127 0 4 -4
Sedgwick County, Kansas 20173 0 16 -16
Wyandotte County, Kansas 20209 133 0 133
Pulaski County, Kentucky 21199 0 11 -11
Concordia Parish, Louisiana 22029 61 0 61
Grant Parish, Louisiana 22043 8 0 8
Jefferson Parish, Louisiana 22051 0 77 -77
Lafayette Parish, Louisiana 22055 0 20 -20
Orleans Parish, Louisiana 22071 29 77 -48
Vernon Parish, Louisiana 22115 0 13 -13
Kennebec County, Maine 23011 0 4 -4
Knox County, Maine 23013 21 0 21
Montgomery County, Maryland 24031 455 14 441
Prince George's County, Maryland 24033 40 70 -30
Franklin County, Massachusetts 25011 8 0 8
Norfolk County, Massachusetts 25021 23 0 23
Suffolk County, Massachusetts 25025 69 27 42
Worcester County, Massachusetts 25027 18 0 18
Cheboygan County, Michigan 26031 0 2 -2
Iosco County, Michigan 26069 0 4 -4
Jackson County, Michigan 26075 0 5 -5
Macomb County, Michigan 26099 0 14 -14
Midland County, Michigan 26111 9 0 9
Monroe County, Michigan 26115 0 7 -7
Montcalm County, Michigan 26117 0 83 -83
Oakland County, Michigan 26125 19 0 19
Washtenaw County, Michigan 26161 0 20 -20
Wayne County, Michigan 26163 0 11 -11
Anoka County, Minnesota 27003 26 0 26
Hennepin County, Minnesota 27053 1 11 -10
Isanti County, Minnesota 27059 2 7 -5
St. Louis County, Minnesota 27137 16 0 16
Forrest County, Mississippi 28035 0 17 -17
Harrison County, Mississippi 28047 0 27 -27
Hinds County, Mississippi 28049 0 10 -10
Jackson County, Mississippi 28059 0 21 -21
Lauderdale County, Mississippi 28075 0 11 -11
Madison County, Mississippi 28089 7 8 -1
Montgomery County, Mississippi 28097 0 13 -13
Neshoba County, Mississippi 28099 0 7 -7
Callaway County, Missouri 29027 0 5 -5
Camden County, Missouri 29029 11 0 11
Greene County, Missouri 29077 25 0 25
Jackson County, Missouri 29095 0 24 -24
Jasper County, Missouri 29097 0 49 -49
Lafayette County, Missouri 29107 0 68 -68
McDonald County, Missouri 29119 0 34 -34
Newton County, Missouri 29145 0 8 -8
Platte County, Missouri 29165 0 12 -12
Pulaski County, Missouri 29169 0 28 -28
Flathead County, Montana 30029 15 11 4
Gallatin County, Montana 30031 0 13 -13
Lewis and Clark County, Montana 30049 0 10 -10
Yellowstone County, Montana 30111 68 4 64
Douglas County, Nebraska 31055 44 0 44
Gage County, Nebraska 31067 20 0 20
Lancaster County, Nebraska 31109 24 0 24
Scotts Bluff County, Nebraska 31157 0 34 -34
Clark County, Nevada 32003 356 569 -213
Douglas County, Nevada 32005 0 4 -4
Lyon County, Nevada 32019 0 79 -79
Nye County, Nevada 32023 2 0 2
Washoe County, Nevada 32031 139 139 0
Carson City, Nevada 32510 68 0 68
Coos County, New Hampshire 33007 0 15 -15
Camden County, New Jersey 34007 0 30 -30
Cape May County, New Jersey 34009 0 47 -47
Cumberland County, New Jersey 34011 8 0 8
Mercer County, New Jersey 34021 40 0 40
Middlesex County, New Jersey 34023 45 0 45
Ocean County, New Jersey 34029 10 0 10
Somerset County, New Jersey 34035 0 21 -21
Bernalillo County, New Mexico 35001 107 56 51
Doña Ana County, New Mexico 35013 12 56 -44
Luna County, New Mexico 35029 17 0 17
San Miguel County, New Mexico 35047 38 0 38
Santa Fe County, New Mexico 35049 17 0 17
Albany County, New York 36001 0 49 -49
Bronx County, New York 36005 22 0 22
Cayuga County, New York 36011 14 0 14
Erie County, New York 36029 45 1 44
Jefferson County, New York 36045 0 11 -11
Kings County, New York 36047 27 8 19
Lewis County, New York 36049 0 9 -9
Monroe County, New York 36055 0 8 -8
Nassau County, New York 36059 66 9 57
Oneida County, New York 36065 0 6 -6
Onondaga County, New York 36067 0 8 -8
Otsego County, New York 36077 0 6 -6
Queens County, New York 36081 4 0 4
Rensselaer County, New York 36083 23 0 23
Richmond County, New York 36085 0 4 -4
Wayne County, New York 36117 7 0 7
Anson County, North Carolina 37007 0 5 -5
Cabarrus County, North Carolina 37025 7 0 7
Craven County, North Carolina 37049 64 0 64
Cumberland County, North Carolina 37051 22 0 22
Durham County, North Carolina 37063 76 5 71
Guilford County, North Carolina 37081 0 92 -92
Haywood County, North Carolina 37087 26 0 26
Onslow County, North Carolina 37133 64 57 7
Robeson County, North Carolina 37155 13 0 13
Wake County, North Carolina 37183 32 10 22
Warren County, North Carolina 37185 0 10 -10
Wayne County, North Carolina 37191 0 9 -9
Wilson County, North Carolina 37195 16 0 16
Cass County, North Dakota 38017 44 0 44
McKenzie County, North Dakota 38053 5 0 5
Ward County, North Dakota 38101 0 5 -5
Auglaize County, Ohio 39011 29 0 29
Cuyahoga County, Ohio 39035 10 9 1
Franklin County, Ohio 39049 3 0 3
Hamilton County, Ohio 39061 53 145 -92
Lucas County, Ohio 39095 25 0 25
Washington County, Ohio 39167 0 6 -6
Beckham County, Oklahoma 40009 4 0 4
Bryan County, Oklahoma 40013 22 0 22
Cleveland County, Oklahoma 40027 101 0 101
Comanche County, Oklahoma 40031 8 0 8
Delaware County, Oklahoma 40041 9 9 0
Jackson County, Oklahoma 40065 0 9 -9
Muskogee County, Oklahoma 40101 0 18 -18
Oklahoma County, Oklahoma 40109 21 0 21
Okmulgee County, Oklahoma 40111 0 11 -11
Ottawa County, Oklahoma 40115 0 8 -8
Stephens County, Oklahoma 40137 0 8 -8
Tulsa County, Oklahoma 40143 0 58 -58
Wagoner County, Oklahoma 40145 0 17 -17
Washita County, Oklahoma 40149 0 7 -7
Benton County, Oregon 41003 15 35 -20
Clackamas County, Oregon 41005 31 66 -35
Coos County, Oregon 41011 35 0 35
Curry County, Oregon 41015 17 0 17
Deschutes County, Oregon 41017 0 22 -22
Douglas County, Oregon 41019 0 114 -114
Jackson County, Oregon 41029 165 228 -63
Josephine County, Oregon 41033 0 90 -90
Klamath County, Oregon 41035 3 48 -45
Lane County, Oregon 41039 14 20 -6
Multnomah County, Oregon 41051 114 287 -173
Polk County, Oregon 41053 13 2 11
Umatilla County, Oregon 41059 0 105 -105
Washington County, Oregon 41067 0 35 -35
Yamhill County, Oregon 41071 6 0 6
Blair County, Pennsylvania 42013 23 0 23
Centre County, Pennsylvania 42027 0 39 -39
Chester County, Pennsylvania 42029 37 0 37
Lancaster County, Pennsylvania 42071 46 0 46
Lehigh County, Pennsylvania 42077 70 0 70
Wayne County, Pennsylvania 42127 31 0 31
Westmoreland County, Pennsylvania 42129 0 56 -56
York County, Pennsylvania 42133 29 31 -2
Kent County, Rhode Island 44003 42 0 42
Berkeley County, South Carolina 45015 0 5 -5
Charleston County, South Carolina 45019 24 0 24
Horry County, South Carolina 45051 36 7 29
Richland County, South Carolina 45079 0 17 -17
Spartanburg County, South Carolina 45083 0 102 -102
York County, South Carolina 45091 0 70 -70
Brookings County, South Dakota 46011 23 0 23
Davison County, South Dakota 46035 0 4 -4
Minnehaha County, South Dakota 46099 0 8 -8
Pennington County, South Dakota 46103 1 0 1
Davidson County, Tennessee 47037 0 3 -3
Greene County, Tennessee 47059 0 70 -70
Houston County, Tennessee 47083 0 13 -13
Madison County, Tennessee 47113 32 0 32
Montgomery County, Tennessee 47125 15 23 -8
Shelby County, Tennessee 47157 23 40 -17
Stewart County, Tennessee 47161 0 2 -2
Sumner County, Tennessee 47165 0 109 -109
Bexar County, Texas 48029 152 0 152
Brazoria County, Texas 48039 125 0 125
Brown County, Texas 48049 34 0 34
Dallas County, Texas 48113 62 0 62
Denton County, Texas 48121 0 49 -49
Ector County, Texas 48135 0 22 -22
Ellis County, Texas 48139 19 0 19
El Paso County, Texas 48141 18 9 9
Galveston County, Texas 48167 17 28 -11
Grayson County, Texas 48181 0 26 -26
Harris County, Texas 48201 115 31 84
Hidalgo County, Texas 48215 0 8 -8
Hopkins County, Texas 48223 9 0 9
Howard County, Texas 48227 9 4 5
Jefferson County, Texas 48245 45 0 45
Lubbock County, Texas 48303 19 0 19
McLennan County, Texas 48309 0 52 -52
Midland County, Texas 48329 9 0 9
Montgomery County, Texas 48339 9 0 9
Orange County, Texas 48361 0 9 -9
Potter County, Texas 48375 7 0 7
Starr County, Texas 48427 19 0 19
Tarrant County, Texas 48439 94 45 49
Webb County, Texas 48479 17 9 8
Wichita County, Texas 48485 0 6 -6
Williamson County, Texas 48491 24 38 -14
Duchesne County, Utah 49013 19 0 19
Millard County, Utah 49027 0 10 -10
Salt Lake County, Utah 49035 168 78 90
Sanpete County, Utah 49039 0 10 -10
Sevier County, Utah 49041 0 5 -5
Utah County, Utah 49049 30 78 -48
Wasatch County, Utah 49051 0 5 -5
Washington County, Utah 49053 6 0 6
Accomack County, Virginia 51001 0 15 -15
Fairfax County, Virginia 51059 6 0 6
Prince George County, Virginia 51149 2 0 2
Danville city, Virginia 51590 3 0 3
Newport News city, Virginia 51700 0 50 -50
Norfolk city, Virginia 51710 37 0 37
Portsmouth city, Virginia 51740 0 74 -74
Virginia Beach city, Virginia 51810 103 0 103
Chelan County, Washington 53007 0 45 -45
Clark County, Washington 53011 26 39 -13
Cowlitz County, Washington 53015 23 0 23
Grays Harbor County, Washington 53027 25 0 25
Island County, Washington 53029 44 0 44
King County, Washington 53033 261 236 25
Kitsap County, Washington 53035 0 74 -74
Kittitas County, Washington 53037 0 104 -104
Pierce County, Washington 53053 179 92 87
San Juan County, Washington 53055 0 2 -2
Snohomish County, Washington 53061 12 89 -77
Spokane County, Washington 53063 57 22 35
Thurston County, Washington 53067 111 0 111
Whatcom County, Washington 53073 25 0 25
Whitman County, Washington 53075 12 0 12
Yakima County, Washington 53077 35 59 -24
Kanawha County, West Virginia 54039 7 0 7
Brown County, Wisconsin 55009 6 0 6
Dunn County, Wisconsin 55033 0 3 -3
La Crosse County, Wisconsin 55063 0 8 -8
Lincoln County, Wisconsin 55069 0 2 -2
Milwaukee County, Wisconsin 55079 18 0 18
Racine County, Wisconsin 55101 0 14 -14
Rock County, Wisconsin 55105 61 0 61
St. Croix County, Wisconsin 55109 0 3 -3
Shawano County, Wisconsin 55115 5 0 5
Albany County, Wyoming 56001 0 3 -3
Laramie County, Wyoming 56021 0 42 -42
Natrona County, Wyoming 56025 0 1 -1
Sheridan County, Wyoming 56033 0 19 -19
Caguas Municipio, Puerto Rico 72025 20 0 20
San Juan Municipio, Puerto Rico 72127 36 0 36
Danbury town, Fairfield County, Connecticut 0900118500 19 0 19
Hartford town, Hartford County, Connecticut 0900337070 0 7 -7
Marlborough town, Hartford County, Connecticut 0900345820 0 17 -17
New Haven town, New Haven County, Connecticut 0900952070 0 13 -13
Wallingford town, New Haven County, Connecticut 0900978740 20 0 20
Plainfield town, Windham County, Connecticut 0901559980 1 0 1
Randolph town, Kennebec County, Maine 2301161700 0 4 -4
Hope town, Knox County, Maine 2301333840 21 0 21
Greenfield Town city, Franklin County, Massachusetts 2501127100 8 0 8
Quincy city, Norfolk County, Massachusetts 2502155745 16 0 16
Wellesley town, Norfolk County, Massachusetts 2502174175 7 0 7
Boston city, Suffolk County, Massachusetts 2502507000 69 27 42
Westminster town, Worcester County, Massachusetts 2502777010 18 0 18
Cheboygan city, Cheboygan County, Michigan 2603115000 0 2 -2
Burleigh township, Iosco County, Michigan 2606911740 0 4 -4
Sandstone township, Jackson County, Michigan 2607571500 0 5 -5
Armada township, Macomb County, Michigan 2609903540 0 4 -4
Sterling Heights city, Macomb County, Michigan 2609976460 0 10 -10
Edenville township, Midland County, Michigan 2611124830 9 0 9
Bedford township, Monroe County, Michigan 2611506740 0 7 -7
Greenville city, Montcalm County, Michigan 2611735100 0 83 -83
Troy city, Oakland County, Michigan 2612580700 19 0 19
Ann Arbor city, Washtenaw County, Michigan 2616103000 0 20 -20
Detroit city, Wayne County, Michigan 2616322000 0 11 -11
Blaine city, Anoka County, Minnesota 2700306382 26 0 26
Minneapolis city, Hennepin County, Minnesota 2705343000 1 0 1
Minnetrista city, Hennepin County, Minnesota 2705343306 0 11 -11
Braham city, Isanti County, Minnesota 2705907282 2 0 2
Wyanett township, Isanti County, Minnesota 2705971896 0 7 -7
Chisholm city, St. Louis County, Minnesota 2713711386 16 0 16
Berlin city, Coos County, New Hampshire 3300705140 0 15 -15
Gloucester township, Camden County, New Jersey 3400726760 0 30 -30
Cape May city, Cape May County, New Jersey 3400910270 0 38 -38
Upper township, Cape May County, New Jersey 3400974810 0 9 -9
Bridgeton city, Cumberland County, New Jersey 3401107600 8 0 8
East Windsor township, Mercer County, New Jersey 3402119780 40 0 40
Edison township, Middlesex County, New Jersey 3402320230 45 0 45
Point Pleasant borough, Ocean County, New Jersey 3402959880 10 0 10
Bridgewater township, Somerset County, New Jersey 3403507720 0 21 -21
Albany city, Albany County, New York 3600101000 0 49 -49
Bronx borough, Bronx County, New York 3600508510 22 0 22
Auburn city, Cayuga County, New York 3601103078 14 0 14
Buffalo city, Erie County, New York 3602911000 45 0 45
Lackawanna city, Erie County, New York 3602940189 0 1 -1
Le Ray town, Jefferson County, New York 3604542015 0 11 -11
Brooklyn borough, Kings County, New York 3604710022 27 8 19
Croghan town, Lewis County, New York 3604919081 0 9 -9
Henrietta town, Monroe County, New York 3605534099 0 8 -8
Hempstead town, Nassau County, New York 3605934000 66 0 66
North Hempstead town, Nassau County, New York 3605953000 0 9 -9
Utica city, Oneida County, New York 3606576540 0 6 -6
Lysander town, Onondaga County, New York 3606744039 0 8 -8
Middlefield town, Otsego County, New York 3607746910 0 6 -6
Queens borough, Queens County, New York 3608160323 4 0 4
Troy city, Rensselaer County, New York 3608375484 23 0 23
Staten Island borough, Richmond County, New York 3608570915 0 4 -4
Butler town, Wayne County, New York 3611711473 7 0 7
Frankstown township, Blair County, Pennsylvania 4201327600 23 0 23
College township, Centre County, Pennsylvania 4202715136 0 7 -7
State College borough, Centre County, Pennsylvania 4202773808 0 32 -32
Coatesville city, Chester County, Pennsylvania 4202914712 37 0 37
Elizabeth township, Lancaster County, Pennsylvania 4207123008 46 0 46
Lower Macungie township, Lehigh County, Pennsylvania 4207744952 70 0 70
Damascus township, Wayne County, Pennsylvania 4212718104 31 0 31
Jeannette city, Westmoreland County, Pennsylvania 4212937784 0 41 -41
Murrysville municipality, Westmoreland County, Pennsylvania 4212952432 0 13 -13
Penn borough, Westmoreland County, Pennsylvania 4212958872 0 2 -2
Conewago township, York County, Pennsylvania 4213315656 29 0 29
Springettsbury township, York County, Pennsylvania 4213372992 0 31 -31
East Greenwich town, Kent County, Rhode Island 4400322240 42 0 42
Howard village, Brown County, Wisconsin 5500935950 6 0 6
Elk Mound town, Dunn County, Wisconsin 5503323350 0 3 -3
Onalaska city, La Crosse County, Wisconsin 5506359925 0 8 -8
Russell town, Lincoln County, Wisconsin 5506970325 0 2 -2
Wauwatosa city, Milwaukee County, Wisconsin 5507984675 18 0 18
Racine city, Racine County, Wisconsin 5510166000 0 14 -14
Beloit city, Rock County, Wisconsin 5510506500 54 0 54
Janesville city, Rock County, Wisconsin 5510537825 7 0 7
Springfield town, St. Croix County, Wisconsin 5510975950 0 3 -3
Gresham village, Shawano County, Wisconsin 5511531675 5 0 5

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

2. General, Social, Economic, Housing Characteristics

2.1. General Demographics - Detailed Characteristics .. goto topics
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GENERAL DEMOGRAPHIC CHARACTERISTICS (DP1) ItemCode ACS 2021
1-year
Percent 2022
Estimate
2022
Percent
2027
Projection
2027
Percent
SEX AND AGE        
.Total population D001 1,013,581    
..Male D002 508,152 50.1    
..Female D003 505,429 49.9    
..Sex ratio (males per 100 females) D004 100.5    
       
..Under 5 years D005 71,998 7.1    
..5 to 9 years D006 79,902 7.9    
..10 to 14 years D007 84,738 8.4    
..15 to 19 years D008 77,051 7.6    
..20 to 24 years D009 69,163 6.8    
..25 to 34 years D010 152,132 15.0    
..35 to 44 years D011 135,434 13.4    
..45 to 54 years D012 110,607 10.9    
..55 to 59 years D013 54,788 5.4    
..60 to 64 years D014 50,048 4.9    
..65 to 74 years D015 78,046 7.7    
..75 to 84 years D016 36,567 3.6    
..85 years and over D017 13,107 1.3    
       
..Median age (years) D018 33.1    
       
..Under 18 years D019 285,553 28.2    
..16 years and over D020 761,696 75.1    
..18 years and over D021 728,028 71.8    
..21 years and over D022 685,183 67.6    
..62 years and over D023 157,259 15.5    
..65 years and over D024 127,720 12.6    
       
..18 years and over D025 728,028    
...Male D026 362,505 49.8    
...Female D027 365,523 50.2    
...Sex ratio (males per 100 females) D028 99.2    
       
..65 years and over D029 127,720    
...Male D030 57,947 45.4    
...Female D031 69,773 54.6    
...Sex ratio (males per 100 females) D032 83.1    
       
RACE        
.Total population D033 1,013,581    
..One race D034 725,709 71.6    
..Two or more races D035 287,872 28.4    
       
..One race D036 725,709 71.6    
...White D037 336,394 33.2    
...Black or African American D038 43,869 4.3    
...American Indian and Alaska Native D039 12,992 1.3    
....Cherokee tribal grouping D040 265 0.0    
....Chippewa tribal grouping D041 0    
....Navajo tribal grouping D042 355 0.0    
....Sioux tribal grouping D043 0    
...Asian D044 110,995 11.0    
....Asian Indian D045 25,808 2.5    
....Chinese D046 7,843 0.8    
....Filipino D047 14,494 1.4    
....Japanese D048 2,291 0.2    
....Korean D049 1,258 0.1    
....Vietnamese D050 4,227 0.4    
....Other Asian D051 55,074 5.4    
...Native Hawaiian and Other Pacific Islander D052 1,789 0.2    
....Native Hawaiian D053 155 0.0    
....Guamanian or Chamorro D054 40 0.0    
....Samoan D055 687 0.1    
....Other Pacific Islander D056 907 0.1    
...Some other race D057 219,670 21.7    
..Two or more races D058 287,872 28.4    
...White and Black or African American D059 8,540 0.8    
...White and American Indian and Alaska Native D060 9,636 1.0    
...White and Asian D061 7,413 0.7    
...Black or African American and American Indian and Alaska Native D062 830 0.1    
       
Race alone or in combination with one or more other races        
.Total population D063 1,013,581    
..White D064 613,322 60.5    
..Black or African American D065 63,993 6.3    
..American Indian and Alaska Native D066 32,038 3.2    
..Asian D067 126,609 12.5    
..Native Hawaiian and Other Pacific Islander D068 4,235 0.4    
..Some other race D069 475,321 46.9    
       
HISPANIC OR LATINO AND RACE        
.Total population D070 1,013,581    
..Hispanic or Latino (of any race) D071 554,633 54.7    
...Mexican D072 508,279 50.1    
...Puerto Rican D073 5,420 0.5    
...Cuban D074 1,333 0.1    
...Other Hispanic or Latino D075 39,601 3.9    
..Not Hispanic or Latino D076 458,948 45.3    
...White alone D077 266,959 26.3    
...Black or African American alone D078 41,518 4.1    
...American Indian and Alaska Native alone D079 3,643 0.4    
...Asian alone D080 107,250 10.6    
...Native Hawaiian and Other Pacific Islander alone D081 1,719 0.2    
...Some other race alone D082 5,957 0.6    
...Two or more races D083 31,902 3.1    
....Two races including Some other race D084 7,637 0.8    
....Two races excluding Some other race, and Three or more races D085 24,265 2.4    
       
.Total housing units D086 341,732 -1.0    
       
CITIZEN, VOTING AGE POPULATION        
.Citizen, 18 and over population D087 630,936    
..Male D088 311,344 49.3    
..Female D089 319,592 50.7    


2.2. Social Characteristics .. goto topics
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SOCIAL CHARACTERISTICS (DP2) ItemCode ACS 2021
1-year
Percent 2022
Estimate
2022
Percent
2027
Projection
2027
Percent
HOUSEHOLDS BY TYPE        
.Total households S001 322,646    
..Married-couple family S002 149,789 46.4    
...With own children of the householder under 18 years S003 68,977 21.4    
..Cohabiting couple household S004 26,524 8.2    
...With own children of the householder under 18 years S005 15,629 4.8    
..Male householder, no spouse/partner present S006 57,309 17.8    
...With own children of the householder under 18 years S007 4,809 1.5    
...Householder living alone S008 33,325 10.3    
....65 years and over S009 11,034 3.4    
..Female householder, no spouse/partner present S010 89,024 27.6    
...With own children of the householder under 18 years S011 23,393 7.3    
...Householder living alone S012 39,326 12.2    
....65 years and over S013 18,927 5.9    
       
..Households with one or more people under 18 years S014 127,827 39.6    
..Households with one or more people 65 years and over S015 93,313 28.9    
       
..Average household size S016 3.1    
..Average family size S017 3.7    
       
RELATIONSHIP        
.Population in households S018 996,308    
..Householder S019 322,646 32.4    
..Spouse S020 149,812 15.0    
..Unmarried partner S021 26,473 2.7    
..Child S022 361,617 36.3    
..Other relatives S023 101,376 10.2    
..Other nonrelatives S024 34,384 3.5    
       
MARITAL STATUS        
.Males 15 years and over S025 386,825    
..Never married S026 168,461 43.5    
..Now married, except separated S027 172,576 44.6    
..Separated S028 8,221 2.1    
..Widowed S029 8,052 2.1    
..Divorced S030 29,515 7.6    
       
.Females 15 years and over S031 390,118    
..Never married S032 139,401 35.7    
..Now married, except separated S033 168,756 43.3    
..Separated S034 12,875 3.3    
..Widowed S035 29,558 7.6    
..Divorced S036 39,528 10.1    
       
FERTILITY        
.Number of women 15 to 50 years old who had a birth in the past 12 months S037 15,233    
..Unmarried women (widowed, divorced, and never married) S038 6,788 44.6    
...Per 1,000 unmarried women S039 47 -1.0    
..Per 1,000 women 15 to 50 years old S040 62 -1.0    
..Per 1,000 women 15 to 19 years old S041 20 -1.0    
..Per 1,000 women 20 to 34 years old S042 99 -1.0    
..Per 1,000 women 35 to 50 years old S043 38 -1.0    
       
GRANDPARENTS        
.Number of grandparents living with own grandchildren under 18 years S044 27,845    
..Grandparents responsible for grandchildren S045 7,428 26.7    
..Years responsible for grandchildren
...Less than 1 year S046 1,563 5.6    
...1 or 2 years S047 737 2.6    
...3 or 4 years S048 2,097 7.5    
...5 or more years S049 3,031 10.9    
       
.Number of grandparents responsible for own grandchildren under 18 years S050 7,428    
..Who are female S051 4,509 60.7    
..Who are married S052 4,413 59.4    
       
SCHOOL ENROLLMENT        
.Population 3 years and over enrolled in school S053 292,502    
..Nursery school, preschool S054 11,908 4.1    
..Kindergarten S055 16,490 5.6    
..Elementary school (grades 1-8) S056 126,879 43.4    
..High school (grades 9-12) S057 67,053 22.9    
..College or graduate school S058 70,172 24.0    
       
EDUCATIONAL ATTAINMENT        
.Population 25 years and over S059 630,729    
..Less than 9th grade S060 76,445 12.1    
..9th to 12th grade, no diploma S061 55,596 8.8    
..High school graduate (includes equivalency) S062 154,863 24.6    
..Some college, no degree S063 143,342 22.7    
..Associate's degree S064 48,812 7.7    
..Bachelor's degree S065 99,450 15.8    
..Graduate or professional degree S066 52,221 8.3    
       
..High school graduate or higher S067 498,688 79.1    
..Bachelor's degree or higher S068 151,671 24.0    
       
VETERAN STATUS        
.Civilian population 18 years and over S069 726,566    
..Civilian veterans S070 33,285 4.6    
       
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION        
.Total Civilian Noninstitutionalized Population S071 1,001,415    
..With a disability S072 127,270 12.7    
       
.Under 18 years S073 285,430    
..With a disability S074 13,064 4.6    
       
.18 to 64 years S075 590,838    
..With a disability S076 66,756 11.3    
       
.65 years and over S077 125,147    
..With a disability S078 47,450 37.9    
       
RESIDENCE 1 YEAR AGO        
.Population 1 year and over S079 1,000,279    
..Same house S080 903,118 90.3    
..Different house in the U.S. or abroad S081 97,161 9.7    
..Different house in the U.S. S082 94,894 9.5    
...Same county S083 66,600 6.7    
...Different county S084 28,294 2.8    
....Same state S085 23,624 2.4    
....Different state S086 4,670 0.5    
..Abroad S087 2,267 0.2    
       
PLACE OF BIRTH        
.Total population S088 1,013,581    
..Native S089 813,937 80.3    
...Born in United States S090 803,154 79.2    
....State of residence S091 708,457 69.9    
....Different state S092 94,697 9.3    
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s) S093 10,783 1.1    
..Foreign born S094 199,644 19.7    
       
U.S. CITIZENSHIP STATUS        
.Foreign-born population S095 199,644    
..Naturalized U.S. citizen S096 97,700 48.9    
..Not a U.S. citizen S097 101,944 51.1    
       
YEAR OF ENTRY        
.Population born outside the United States S098 210,427    
       
..Native S099 10,783    
...Entered 2010 or later S100 3,795 35.2    
...Entered before 2010 S101 6,988 64.8    
       
..Foreign born S102 199,644    
...Entered 2010 or later S103 33,061 16.6    
...Entered before 2010 S104 166,583 83.4    
       
WORLD REGION OF BIRTH OF FOREIGN BORN        
.Foreign-born population, excluding population born at sea S105 199,644    
..Europe S106 3,801 1.9    
..Asia S107 57,950 29.0    
..Africa S108 2,706 1.4    
..Oceania S109 505 0.3    
..Latin America S110 133,276 66.8    
..Northern America S111 1,406 0.7    
       
LANGUAGE SPOKEN AT HOME        
.Population 5 years and over S112 941,583    
..English only S113 539,552 57.3    
..Language other than English S114 402,031 42.7    
...Speak English less than very well S115 156,090 16.6    
..Spanish S116 309,817 32.9    
...Speak English less than very well S117 120,789 12.8    
..Other Indo-European languages S118 32,491 3.5    
...Speak English less than very well S119 10,774 1.1    
..Asian and Pacific Islander languages S120 51,308 5.4    
...Speak English less than very well S121 22,931 2.4    
..Other languages S122 8,415 0.9    
...Speak English less than very well S123 1,596 0.2    
       
ANCESTRY        
.Total population S124 1,013,581    
..American S125 15,098 1.5    
..Arab S126 5,930 0.6    
..Czech S127 1,482 0.1    
..Danish S128 3,836 0.4    
..Dutch S129 5,843 0.6    
..English S130 49,594 4.9    
..French (except Basque) S131 8,825 0.9    
..French Canadian S132 753 0.1    
..German S133 65,656 6.5    
..Greek S134 2,588 0.3    
..Hungarian S135 1,036 0.1    
..Irish S136 46,153 4.6    
..Italian S137 26,490 2.6    
..Lithuanian S138 714 0.1    
..Norwegian S139 4,809 0.5    
..Polish S140 3,034 0.3    
..Portuguese S141 10,026 1.0    
..Russian S142 2,944 0.3    
..Scotch-Irish S143 2,893 0.3    
..Scottish S144 7,225 0.7    
..Slovak S145 133 0.0    
..Subsaharan African S146 6,822 0.7    
..Swedish S147 6,164 0.6    
..Swiss S148 831 0.1    
..Ukrainian S149 703 0.1    
..Welsh S150 1,760 0.2    
..West Indian (excluding Hispanic origin groups) S151 949 0.1    
       
COMPUTERS AND INTERNET USE        
.Total households S152 322,646    
..With a computer S153 300,147 93.0    
..With a broadband Internet subscription S154 276,309 85.6    


2.3. Economic Characteristics .. goto topics
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ECONOMIC CHARACTERISTICS (DP3) ItemCode ACS 2021
1-year
Percent 2022
Estimate
2022
Percent
2027
Projection
2027
Percent
EMPLOYMENT STATUS        
.Population 16 years and over E001 761,696    
..In labor force E002 463,446 60.8    
...Civilian labor force E003 461,984 60.7    
....Employed E004 419,916 55.1    
....Unemployed E005 42,068 5.5    
...Armed Forces E006 1,462 0.2    
..Not in labor force E007 298,250 39.2    
       
.Civilian labor force E008 461,984    
..Unemployment Rate E009 9.1    
       
.Females 16 years and over E010 382,260    
..In labor force E011 210,312 55.0    
...Civilian labor force E012 209,612 54.8    
....Employed E013 187,139 49.0    
       
.Own children of the householder under 6 years E014 84,488    
..All parents in family in labor force E015 53,658 63.5    
       
.Own children of the householder 6 to 17 years E016 187,566    
..All parents in family in labor force E017 128,213 68.4    
       
COMMUTING TO WORK        
.Workers 16 years and over E018 407,444    
..Car, truck, or van -- drove alone E019 300,011 73.6    
..Car, truck, or van -- carpooled E020 42,874 10.5    
..Public transportation (excluding taxicab) E021 3,366 0.8    
..Walked E022 5,475 1.3    
..Other means E023 9,908 2.4    
..Worked from home E024 45,810 11.2    
       
..Mean travel time to work (minutes) E025 22.7    
       
OCCUPATION        
.Civilian employed population 16 years and over E026 419,916    
..Management, business, science, and arts occupations E027 144,558 34.4    
..Service occupations E028 75,363 17.9    
..Sales and office occupations E029 83,971 20.0    
..Natural resources, construction, and maintenance occupations E030 59,221 14.1    
..Production, transportation, and material moving occupations E031 56,803 13.5    
       
INDUSTRY        
.Civilian employed population 16 years and over E032 419,916    
..Agriculture, forestry, fishing and hunting, and mining E033 35,674 8.5    
..Construction E034 28,747 6.8    
..Manufacturing E035 27,104 6.5    
..Wholesale trade E036 11,907 2.8    
..Retail trade E037 42,687 10.2    
..Transportation and warehousing, and utilities E038 27,977 6.7    
..Information E039 5,078 1.2    
..Finance and insurance, and real estate and rental and leasing E040 15,893 3.8    
..Professional, scientific, and management, and administrative and waste management services E041 39,082 9.3    
..Educational services, and health care and social assistance E042 104,577 24.9    
..Arts, entertainment, and recreation, and accommodation and food services E043 34,575 8.2    
..Other services, except public administration E044 19,464 4.6    
..Public administration E045 27,151 6.5    
       
CLASS OF WORKER        
.Civilian employed population 16 years and over E046 419,916    
..Private wage and salary workers E047 310,494 73.9    
..Government workers E048 79,890 19.0    
..Self-employed in own not incorporated business workers E049 28,520 6.8    
..Unpaid family workers E050 1,012 0.2    
       
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS)        
.Total households E051 322,646    
..Less than $10,000 E052 23,726 7.4    
..$10,000 to $14,999 E053 14,062 4.4    
..$15,000 to $24,999 E054 27,137 8.4    
..$25,000 to $34,999 E055 26,325 8.2    
..$35,000 to $49,999 E056 38,216 11.8    
..$50,000 to $74,999 E057 56,640 17.6    
..$75,000 to $99,999 E058 39,133 12.1    
..$100,000 to $149,999 E059 47,281 14.7    
..$150,000 to $199,999 E060 26,873 8.3    
..$200,000 or more E061 23,253 7.2    
..Median household income (dollars) E062 63,656    
..Mean household income (dollars) E063 87,234    
       
..With earnings E064 253,275 78.5    
...Mean earnings (dollars) E065 88,045    
..With Social Security E066 84,959 26.3    
...Mean Social Security income (dollars) E067 18,204    
..With retirement income E068 63,672 19.7    
...Mean retirement income (dollars) E069 33,912    
       
..With Supplemental Security Income E070 24,652 7.6    
...Mean Supplemental Security Income (dollars) E071 10,170    
..With cash public assistance income E072 17,880 5.5    
...Mean cash public assistance income (dollars) E073 6,147    
..With Food Stamp/SNAP benefits in the past 12 months E074 66,949 20.7    
       
.Families E075 231,331    
..Less than $10,000 E076 14,100 6.1    
..$10,000 to $14,999 E077 6,238 2.7    
..$15,000 to $24,999 E078 17,260 7.5    
..$25,000 to $34,999 E079 18,546 8.0    
..$35,000 to $49,999 E080 26,590 11.5    
..$50,000 to $74,999 E081 40,364 17.4    
..$75,000 to $99,999 E082 29,893 12.9    
..$100,000 to $149,999 E083 37,079 16.0    
..$150,000 to $199,999 E084 22,629 9.8    
..$200,000 or more E085 18,632 8.1    
..Median family income (dollars) E086 70,829    
..Mean family income (dollars) E087 94,259    
       
.Per capita income (dollars) E088 28,766    
       
.Nonfamily households E089 91,315    
..Median nonfamily income (dollars) E090 40,364    
..Mean nonfamily income (dollars) E091 60,265    
       
.Median earnings for workers (dollars) E092 34,156    
.Median earnings for male full-time, year-round workers (dollars) E093 50,875    
.Median earnings for female full-time, year-round workers (dollars) E094 45,016    
       
HEALTH INSURANCE COVERAGE        
.Civilian noninstitutionalized population E095 1,001,415    
..With health insurance coverage E096 943,979 94.3    
...With private health insurance E097 534,448 53.4    
...With public coverage E098 503,371 50.3    
..No health insurance coverage E099 57,436 5.7    
       
.Civilian noninstitutionalized population under 19 years E100 300,477    
..No health insurance coverage E101 6,117 2.0    
       
.Civilian noninstitutionalized population 19 to 64 years E102 575,791    
..In labor force: E103 428,711    
...Employed: E104 390,763    
....With health insurance coverage E105 358,005 91.6    
.....With private health insurance E106 272,239 69.7    
.....With public coverage E107 98,706 25.3    
....No health insurance coverage E108 32,758 8.4    
...Unemployed: E109 37,948    
....With health insurance coverage E110 33,324 87.8    
.....With private health insurance E111 12,276 32.3    
.....With public coverage E112 21,647 57.0    
....No health insurance coverage E113 4,624 12.2    
..Not in labor force: E114 147,080    
...With health insurance coverage E115 134,266 91.3    
....With private health insurance E116 54,685 37.2    
....With public coverage E117 87,863 59.7    
...No health insurance coverage E118 12,814 8.7    
       
PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL        
.All families E119 16.0    
..With related children of the householder under 18 years E120 22.9    
...With related children of the householder under 5 years only E121 21.7    
..Married couple families E122 9.3    
...With related children of the householder under 18 years E123 11.7    
....With related children of the householder under 5 years only E124 8.0    
..Families with female householder, no spouse present E125 35.0    
...With related children of the householder under 18 years E126 46.9    
....With related children of the householder under 5 years only E127 51.9    
       
.All people E128 19.5    
..Under 18 years E129 27.4    
...Related children of the householder under 18 years E130 27.2    
....Related children of the householder under 5 years E131 27.1    
....Related children of the householder 5 to 17 years E132 27.2    
..18 years and over E133 16.4    
...18 to 64 years E134 16.9    
...65 years and over E135 14.2    
..People in families E136 17.6    
..Unrelated individuals 15 years and over E137 30.1    


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 July 2022; next update September 25, 2022 (August 2022 data). Table below saved as c:\dede\1\06019bp.csv.
Units in StructureJan-20Feb-20Mar-20Apr-20May-20Jun-20Jul-20Aug-20Sep-20Oct-20Nov-20Dec-20
Single Family, Buildings 244 163 161 117 127 285 265 304 330 251 170 238
Single Family, Units 244 163 161 117 127 285 265 304 330 251 170 238
Single Family, Value 73,445 48,179 47,013 33,656 41,098 85,441 79,086 95,544 100,883 81,546 51,056 73,466
2 Unit, Buildings 0 3 4 4 0 3 3 3 3 3 4 3
2 Unit, Units 0 6 8 8 0 6 6 6 6 6 8 6
2 Unit, Value 0 1,293 1,195 984 0 1,041 1,041 1,041 1,041 1,041 1,388 1,041
3-4 Unit, Buildings 0 0 4 3 0 0 0 0 0 0 0 6
3-4 Unit, Units 0 0 16 12 0 0 0 0 0 0 0 18
3-4 Unit, Value 0 0 1,398 1,641 0 0 0 0 0 0 0 1,148
5+ Unit, Buildings 0 4 6 0 0 6 3 5 4 5 6 8
5+ Unit, Units 0 22 66 0 0 45 29 25 25 27 31 68
5+ Unit, Value 0 2,309 6,597 0 0 6,592 3,639 3,137 3,137 3,375 3,877 9,151

Units in StructureJan-21Feb-21Mar-21Apr-21May-21Jun-21Jul-21Aug-21Sep-21Oct-21Nov-21Dec-21
Single Family, Buildings 217 239 339 278 235 266 185 261 238 152 131 240
Single Family, Units 217 239 339 278 235 266 185 261 238 152 131 240
Single Family, Value 66,602 73,384 100,169 84,071 71,906 80,889 55,949 79,249 70,931 50,849 43,894 73,222
2 Unit, Buildings 3 2 4 3 4 4 3 3 3 3 3 3
2 Unit, Units 6 4 8 6 8 8 6 6 6 6 6 6
2 Unit, Value 1,041 694 1,388 838 1,117 1,117 838 838 838 838 838 838
3-4 Unit, Buildings 7 5 0 1 1 2 0 1 1 1 0 1
3-4 Unit, Units 21 15 0 3 4 7 0 3 4 3 0 3
3-4 Unit, Value 1,339 957 0 225 300 710 0 225 300 396 0 225
5+ Unit, Buildings 7 7 5 4 3 5 3 5 4 7 11 5
5+ Unit, Units 60 49 41 38 32 37 35 45 34 48 110 56
5+ Unit, Value 8,014 6,519 5,129 5,204 4,382 5,066 4,826 6,159 4,652 6,698 20,607 7,665

Units in StructureJan-22Feb-22Mar-22Apr-22May-22Jun-22Jul-22Aug-22Sep-22Oct-22Nov-22Dec-22
Single Family, Buildings 253 213 343 281 273 0 120 0 0 0 0 0
Single Family, Units 253 213 343 281 273 0 120 0 0 0 0 0
Single Family, Value 75,451 61,134 104,551 82,047 78,302 0 31,010 0 0 0 0 0
2 Unit, Buildings 3 0 0 1 1 0 0 0 0 0 0 0
2 Unit, Units 6 0 0 2 2 0 0 0 0 0 0 0
2 Unit, Value 838 0 0 324 324 0 0 0 0 0 0 0
3-4 Unit, Buildings 2 2 1 1 6 0 0 0 0 0 0 0
3-4 Unit, Units 6 7 4 4 24 0 0 0 0 0 0 0
3-4 Unit, Value 635 825 300 770 3,000 0 0 0 0 0 0 0
5+ Unit, Buildings 4 1 6 8 3 0 3 0 0 0 0 0
5+ Unit, Units 36 7 81 88 20 0 22 0 0 0 0 0
5+ Unit, Value 4,928 929 17,148 11,855 2,845 0 3,304 0 0 0 0 0


2.4.1a. New Authorized Residential Construction.. goto topics
Annual for County
Units in Structure2015201620172018201920202021
Single Family, Buildings 2,053 2,553 1,796 2,213 2,441 2,663 3,369
Single Family, Units 2,053 2,553 1,796 2,213 2,441 2,663 3,369
Single Family, Value 557,424 696,087 496,255 632,757 741,858 800,644 950,006
2 Unit, Buildings 2 15 47 24 30 34 9
2 Unit, Units 4 30 94 48 60 68 18
2 Unit, Value 507 4,195 19,136 9,755 10,407 9,392 2,915
3-4 Unit, Buildings 1 12 6 10 70 13 15
3-4 Unit, Units 3 45 18 35 213 46 53
3-4 Unit, Value 221 7,422 746 3,091 13,827 4,187 10,018
5+ Unit, Buildings 24 33 107 61 76 37 42
5+ Unit, Units 262 276 1,025 633 679 353 462
5+ Unit, Value 23,624 21,459 111,175 58,550 90,666 48,331 63,981


2.4.2. Housing Characteristics .. goto topics
.. 2022 and 2027 values available as premium feature.
HOUSING CHARACTERISTICS (DP4) ItemCode ACS 2021
1-year
Percent 2022
Estimate
2022
Percent
2027
Projection
2027
Percent
HOUSING OCCUPANCY        
.Total housing units H001 341,732    
..Occupied housing units H002 322,646 94.4    
..Vacant housing units H003 19,086 5.6    
       
..Homeowner vacancy rate H004 1.0    
..Rental vacancy rate H005 2.5    
       
UNITS IN STRUCTURE        
.Total housing units H006 341,732    
..1-unit, detached H007 227,300 66.5    
..1-unit, attached H008 10,041 2.9    
..2 units H009 9,292 2.7    
..3 or 4 units H010 21,554 6.3    
..5 to 9 units H011 23,069 6.8    
..10 to 19 units H012 8,805 2.6    
..20 or more units H013 25,713 7.5    
..Mobile home H014 15,424 4.5    
..Boat, RV, van, etc. H015 534 0.2    
       
YEAR STRUCTURE BUILT        
.Total housing units H016 341,732    
..Built 2014 or later H017 2,935 0.9    
..Built 2010 to 2013 H018 30,562 8.9    
..Built 2000 to 2009 H019 50,925 14.9    
..Built 1990 to 1999 H020 46,535 13.6    
..Built 1980 to 1989 H021 43,320 12.7    
..Built 1970 to 1979 H022 60,605 17.7    
..Built 1960 to 1969 H023 37,641 11.0    
..Built 1950 to 1959 H024 36,817 10.8    
..Built 1940 to 1949 H025 15,482 4.5    
..Built 1939 or earlier H026 16,910 4.9    
       
ROOMS        
.Total housing units H027 341,732    
..1 room H028 24,402 7.1    
..2 rooms H029 6,823 2.0    
..3 rooms H030 25,093 7.3    
..4 rooms H031 57,103 16.7    
..5 rooms H032 79,471 23.3    
..6 rooms H033 70,135 20.5    
..7 rooms H034 35,429 10.4    
..8 rooms H035 21,672 6.3    
..9 rooms or more H036 21,604 6.3    
..Median rooms H037 5.2    
       
BEDROOMS        
.Total housing units H038 341,732    
..No bedroom H039 25,077 7.3    
..1 bedroom H040 24,327 7.1    
..2 bedrooms H041 73,046 21.4    
..3 bedrooms H042 150,256 44.0    
..4 bedrooms H043 56,228 16.5    
..5 or more bedrooms H044 12,798 3.7    
       
HOUSING TENURE        
.Occupied housing units H045 322,646    
..Owner-occupied H046 180,062 55.8    
..Renter-occupied H047 142,584 44.2    
       
..Average household size of owner-occupied unit H048 3.1    
..Average household size of renter-occupied unit H049 3.0    
       
YEAR HOUSEHOLDER MOVED INTO UNIT        
.Occupied housing units H050 322,646    
..Moved in 2017 or later H051 78,042 24.2    
..Moved in 2015 to 2016 H052 88,172 27.3    
..Moved in 2010 to 2014 H053 50,017 15.5    
..Moved in 2000 to 2009 H054 50,093 15.5    
..Moved in 1990 to 1999 H055 30,171 9.4    
..Moved in 1989 and earlier H056 26,151 8.1    
       
VEHICLES AVAILABLE        
.Occupied housing units H057 322,646    
..No vehicles available H058 21,431 6.6    
..1 vehicle available H059 95,477 29.6    
..2 vehicles available H060 121,123 37.5    
..3 or more vehicles available H061 84,615 26.2    
       
HOUSE HEATING FUEL        
.Occupied housing units H062 322,646    
..Utility gas H063 171,147 53.0    
..Bottled, tank, or LP gas H064 16,678 5.2    
..Electricity H065 118,007 36.6    
..Fuel oil, kerosene, etc. H066 565 0.2    
..Coal or coke H067 0    
..Wood H068 3,885 1.2    
..Solar energy H069 7,678 2.4    
..Other fuel H070 1,908 0.6    
..No fuel used H071 2,778 0.9    
       
SELECTED CHARACTERISTICS        
.Occupied housing units H072 322,646    
..Lacking complete plumbing facilities H073 1,366 0.4    
..Lacking complete kitchen facilities H074 2,961 0.9    
..No telephone service available H075 4,199 1.3    
       
OCCUPANTS PER ROOM        
.Occupied housing units H076 322,646    
..1.00 or less H077 288,535 89.4    
..1.01 to 1.50 H078 16,724 5.2    
..1.51 or more H079 17,387 5.4    
       
VALUE        
.Owner-occupied units H080 180,062    
..Less than $50,000 H081 8,829 4.9    
..$50,000 to $99,999 H082 5,310 2.9    
..$100,000 to $149,999 H083 5,068 2.8    
..$150,000 to $199,999 H084 10,612 5.9    
..$200,000 to $299,999 H085 45,984 25.5    
..$300,000 to $499,999 H086 69,467 38.6    
..$500,000 to $999,999 H087 30,149 16.7    
..$1,000,000 or more H088 4,643 2.6    
..Median (dollars) H089 331,800    
       
MORTGAGE STATUS        
.Owner-occupied units H090 180,062    
..Housing units with a mortgage H091 117,703 65.4    
..Housing units without a mortgage H092 62,359 34.6    
       
SELECTED MONTHLY OWNER COSTS (SMOC)        
.Housing units with a mortgage H093 117,703    
..Less than $500 H094 1,325 1.1    
..$500 to $999 H095 10,095 8.6    
..$1,000 to $1,499 H096 31,852 27.1    
..$1,500 to $1,999 H097 29,504 25.1    
..$2,000 to $2,499 H098 21,660 18.4    
..$2,500 to $2,999 H099 12,570 10.7    
..$3,000 or more H100 10,697 9.1    
..Median (dollars) H101 1,738    
       
.Housing units without a mortgage H102 62,359    
..Less than $250 H103 5,614 9.0    
..$250 to $399 H104 11,443 18.4    
..$400 to $599 H105 17,845 28.6    
..$600 to $799 H106 14,689 23.6    
..$800 to $999 H107 6,705 10.8    
..$1,000 or more H108 6,063 9.7    
..Median (dollars) H109 556    
       
SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI)        
.Housing units with a mortgage (excluding units where SMOCAPI cannot be computed) H110 116,631    
..Less than 20.0 percent H111 48,674 41.7    
..20.0 to 24.9 percent H112 17,065 14.6    
..25.0 to 29.9 percent H113 12,638 10.8    
..30.0 to 34.9 percent H114 8,497 7.3    
..35.0 percent or more H115 29,757 25.5    
       
..Not computed H116 1,072    
       
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed) H117 61,244    
..Less than 10.0 percent H118 29,845 48.7    
..10.0 to 14.9 percent H119 12,088 19.7    
..15.0 to 19.9 percent H120 6,085 9.9    
..20.0 to 24.9 percent H121 2,520 4.1    
..25.0 to 29.9 percent H122 2,576 4.2    
..30.0 to 34.9 percent H123 2,194 3.6    
..35.0 percent or more H124 5,936 9.7    
       
..Not computed H125 1,115    
       
GROSS RENT        
.Occupied units paying rent H126 137,581    
..Less than $500 H127 9,504 6.9    
..$500 to $999 H128 38,230 27.8    
..$1,000 to $1,499 H129 57,036 41.5    
..$1,500 to $1,999 H130 24,207 17.6    
..$2,000 to $2,499 H131 6,515 4.7    
..$2,500 to $2,999 H132 1,336 1.0    
..$3,000 or more H133 753 0.5    
..Median (dollars) H134 1,164    
       
..No rent paid H135 5,003    
       
GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI)        
.Occupied units paying rent (excluding units where GRAPI cannot be computed) H136 130,838    
..Less than 15.0 percent H137 16,276 12.4    
..15.0 to 19.9 percent H138 14,824 11.3    
..20.0 to 24.9 percent H139 16,846 12.9    
..25.0 to 29.9 percent H140 13,604 10.4    
..30.0 to 34.9 percent H141 10,578 8.1    
..35.0 percent or more H142 58,710 44.9    
       
..Not computed H143 11,746    


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 d:\dede\1\qcewarea.dbf.
      Industry by Sector Characteristics
Industry NAICS Owner Estabs Estabs% Emp Emp% Wages Wages% AWW
Total, all owners 10 0 38,981 100.0 402,095 100.0 5,131,632,649 100.0 982
Total, Federal 10 1 95 0.2 9,477 2.4 161,284,477 3.1 1,309
Total, State 10 2 488 1.3 11,412 2.8 211,594,031 4.1 1,426
Total, Local 10 3 789 2.0 50,746 12.6 784,223,975 15.3 1,189
Total, Private 10 5 37,609 96.5 330,461 82.2 3,974,530,166 77.5 925
Agriculture, forestry, fishing and hunting 11 5 1,463 3.8 35,438 8.8 337,192,981 6.6 732
Crop production 111 5 930 2.4 10,430 2.6 96,084,679 1.9 709
Animal production 112 5 115 0.3 2,166 0.5 26,405,288 0.5 938
Forestry and logging 113 5 6 0.0 0 0.0 0 0.0 0
Fishing, hunting and trapping 114 5 1 0.0 0 0.0 0 0.0 0
Agriculture and forestry support activities 115 5 411 1.1 22,804 5.7 214,299,248 4.2 723
Mining 21 5 15 0.0 199 0.0 6,963,966 0.1 2,687
Oil and gas extraction 211 5 3 0.0 59 0.0 3,396,750 0.1 4,429
Mining, except oil and gas 212 5 5 0.0 86 0.0 2,530,610 0.0 2,272
Support activities for mining 213 5 7 0.0 55 0.0 1,036,606 0.0 1,459
Utilities 22 3 32 0.1 850 0.2 15,000,140 0.3 1,357
Utilities 22 5 52 0.1 2,702 0.7 99,441,137 1.9 2,831
Utilities 221 3 32 0.1 850 0.2 15,000,140 0.3 1,357
Utilities 221 5 52 0.1 2,702 0.7 99,441,137 1.9 2,831
Construction 23 3 2 0.0 0 0.0 0 0.0 0
Construction 23 5 1,774 4.6 21,630 5.4 328,730,835 6.4 1,169
Construction of buildings 236 5 499 1.3 4,758 1.2 67,117,542 1.3 1,085
Heavy and civil engineering construction 237 3 2 0.0 0 0.0 0 0.0 0
Heavy and civil engineering construction 237 5 99 0.3 2,470 0.6 53,431,139 1.0 1,664
Specialty trade contractors 238 5 1,176 3.0 14,402 3.6 208,182,154 4.1 1,112
Manufacturing 31-33 5 668 1.7 25,631 6.4 339,681,521 6.6 1,019
Food manufacturing 311 5 151 0.4 11,785 2.9 136,546,087 2.7 891
Beverage and tobacco product manufacturing 312 5 34 0.1 1,471 0.4 27,742,454 0.5 1,451
Textile mills 313 5 3 0.0 27 0.0 300,606 0.0 856
Textile product mills 314 5 7 0.0 121 0.0 1,054,067 0.0 672
Apparel manufacturing 315 5 6 0.0 53 0.0 369,313 0.0 536
Wood product manufacturing 321 5 27 0.1 1,284 0.3 13,622,816 0.3 816
Paper manufacturing 322 5 12 0.0 1,099 0.3 18,359,478 0.4 1,285
Printing and related support activities 323 5 39 0.1 473 0.1 5,692,946 0.1 926
Petroleum and coal products manufacturing 324 5 4 0.0 0 0.0 0 0.0 0
Chemical manufacturing 325 5 35 0.1 802 0.2 17,252,472 0.3 1,655
Plastics and rubber products manufacturing 326 5 16 0.0 331 0.1 3,760,056 0.1 873
Nonmetallic mineral product manufacturing 327 5 34 0.1 721 0.2 11,639,414 0.2 1,242
Primary metal manufacturing 331 5 5 0.0 0 0.0 0 0.0 0
Fabricated metal product manufacturing 332 5 98 0.3 1,805 0.4 22,526,683 0.4 960
Machinery manufacturing 333 5 57 0.1 1,975 0.5 28,388,663 0.6 1,106
Computer and electronic product manufacturing 334 5 20 0.1 552 0.1 7,961,431 0.2 1,110
Electrical equipment and appliance manufacturing 335 5 8 0.0 54 0.0 873,434 0.0 1,237
Transportation equipment manufacturing 336 5 36 0.1 1,142 0.3 14,017,547 0.3 944
Furniture and related product manufacturing 337 5 25 0.1 333 0.1 4,194,532 0.1 969
Miscellaneous manufacturing 339 5 51 0.1 825 0.2 11,023,282 0.2 1,027
Wholesale trade 42 5 883 2.3 15,205 3.8 264,541,361 5.2 1,338
Merchant wholesalers, durable goods 423 5 457 1.2 6,130 1.5 107,172,699 2.1 1,345
Merchant wholesalers, nondurable goods 424 5 339 0.9 8,363 2.1 137,592,063 2.7 1,266
Electronic markets and agents and brokers 425 5 87 0.2 713 0.2 19,776,599 0.4 2,135
Retail trade 44-45 5 2,422 6.2 39,449 9.8 383,298,960 7.5 747
Motor vehicle and parts dealers 441 5 327 0.8 5,538 1.4 93,667,789 1.8 1,301
Building material and garden supply stores 444 5 156 0.4 3,181 0.8 33,269,916 0.6 805
Food and beverage stores 445 5 555 1.4 8,074 2.0 66,281,786 1.3 631
Food and beverage stores 449 5 206 0.5 3,123 0.8 32,796,522 0.6 808
Food and beverage stores 455 5 155 0.4 9,372 2.3 76,767,890 1.5 630
Food and beverage stores 456 5 257 0.7 2,945 0.7 31,312,631 0.6 818
Food and beverage stores 457 5 225 0.6 1,720 0.4 13,208,031 0.3 591
Food and beverage stores 458 5 231 0.6 2,726 0.7 17,292,005 0.3 488
Food and beverage stores 459 5 310 0.8 2,771 0.7 18,702,390 0.4 519
Transportation and warehousing 48-49 1 40 0.1 1,240 0.3 18,593,006 0.4 1,153
Transportation and warehousing 48-49 3 16 0.0 1,201 0.3 17,288,559 0.3 1,107
Transportation and warehousing 48-49 5 1,377 3.5 17,320 4.3 187,084,526 3.6 831
Air transportation 481 5 15 0.0 546 0.1 8,475,795 0.2 1,194
Rail transportation 482 5 2 0.0 0 0.0 0 0.0 0
Water transportation 483 5 4 0.0 10 0.0 74,439 0.0 573
Truck transportation 484 5 1,012 2.6 6,482 1.6 84,138,458 1.6 998
Transit and ground passenger transportation 485 3 7 0.0 557 0.1 8,644,820 0.2 1,194
Transit and ground passenger transportation 485 5 40 0.1 676 0.2 5,787,340 0.1 659
Pipeline transportation 486 5 3 0.0 28 0.0 951,582 0.0 2,583
Support activities for transportation 488 3 1 0.0 0 0.0 0 0.0 0
Support activities for transportation 488 5 183 0.5 1,436 0.4 21,334,198 0.4 1,143
Postal service 491 1 40 0.1 1,240 0.3 18,593,006 0.4 1,153
Postal service 491 5 5 0.0 0 0.0 0 0.0 0
Couriers and messengers 492 5 56 0.1 2,505 0.6 25,368,244 0.5 779
Warehousing and storage 493 3 8 0.0 0 0.0 0 0.0 0
Warehousing and storage 493 5 57 0.1 5,623 1.4 40,822,871 0.8 558
Information 51 3 4 0.0 0 0.0 0 0.0 0
Information 51 5 143 0.4 3,072 0.8 70,273,316 1.4 1,760
Motion picture and sound recording industries 512 5 24 0.1 399 0.1 2,458,414 0.0 474
Motion picture and sound recording industries 513 5 29 0.1 538 0.1 9,992,557 0.2 1,429
Internet publishing and broadcasting 516 5 36 0.1 1,367 0.3 39,581,592 0.8 2,227
Telecommunications 517 5 40 0.1 666 0.2 14,424,265 0.3 1,666
ISPs, search portals, and data processing 518 5 11 0.0 97 0.0 3,691,666 0.1 2,938
Other information services 519 3 4 0.0 0 0.0 0 0.0 0
Other information services 519 5 3 0.0 5 0.0 124,822 0.0 1,800
Finance and insurance 52 1 3 0.0 9 0.0 221,398 0.0 1,892
Finance and insurance 52 5 952 2.4 7,863 2.0 181,630,310 3.5 1,777
Monetary authorities - central bank 521 5 1 0.0 0 0.0 0 0.0 0
Credit intermediation and related activities 522 1 3 0.0 9 0.0 221,398 0.0 1,892
Credit intermediation and related activities 522 5 344 0.9 3,153 0.8 76,107,469 1.5 1,857
Securities, commodity contracts, investments 523 5 150 0.4 536 0.1 18,955,396 0.4 2,722
Insurance carriers and related activities 524 5 445 1.1 4,151 1.0 85,932,675 1.7 1,592
Funds, trusts, and other financial vehicles 525 5 12 0.0 0 0.0 0 0.0 0
Real estate and rental and leasing 53 3 5 0.0 225 0.1 3,751,653 0.1 1,281
Real estate and rental and leasing 53 5 911 2.3 4,927 1.2 61,378,260 1.2 958
Real estate 531 3 5 0.0 225 0.1 3,751,653 0.1 1,281
Real estate 531 5 788 2.0 3,917 1.0 46,802,550 0.9 919
Rental and leasing services 532 5 122 0.3 0 0.0 0 0.0 0
Lessors of nonfinancial intangible assets 533 5 1 0.0 0 0.0 0 0.0 0
Professional and technical services 54 1 2 0.0 62 0.0 1,141,057 0.0 1,408
Professional and technical services 54 3 1 0.0 0 0.0 0 0.0 0
Professional and technical services 54 5 1,791 4.6 11,694 2.9 181,776,712 3.5 1,196
Professional and technical services 541 1 2 0.0 62 0.0 1,141,057 0.0 1,408
Professional and technical services 541 3 1 0.0 0 0.0 0 0.0 0
Professional and technical services 541 5 1,791 4.6 11,694 2.9 181,776,712 3.5 1,196
Management of companies and enterprises 55 5 89 0.2 2,646 0.7 54,318,585 1.1 1,579
Management of companies and enterprises 551 5 89 0.2 2,646 0.7 54,318,585 1.1 1,579
Administrative and waste services 56 2 1 0.0 0 0.0 0 0.0 0
Administrative and waste services 56 3 6 0.0 0 0.0 0 0.0 0
Administrative and waste services 56 5 973 2.5 18,181 4.5 181,611,010 3.5 768
Administrative and support services 561 2 1 0.0 0 0.0 0 0.0 0
Administrative and support services 561 3 4 0.0 0 0.0 0 0.0 0
Administrative and support services 561 5 901 2.3 16,805 4.2 161,295,181 3.1 738
Waste management and remediation services 562 3 2 0.0 0 0.0 0 0.0 0
Waste management and remediation services 562 5 72 0.2 1,376 0.3 20,315,829 0.4 1,135
Educational services 61 2 161 0.4 3,136 0.8 55,123,124 1.1 1,352
Educational services 61 3 630 1.6 33,843 8.4 504,964,955 9.8 1,148
Educational services 61 5 187 0.5 3,920 1.0 34,076,230 0.7 669
Educational services 611 2 161 0.4 3,136 0.8 55,123,124 1.1 1,352
Educational services 611 3 630 1.6 33,843 8.4 504,964,955 9.8 1,148
Educational services 611 5 187 0.5 3,920 1.0 34,076,230 0.7 669
Health care and social assistance 62 1 1 0.0 1,832 0.5 42,696,246 0.8 1,792
Health care and social assistance 62 2 115 0.3 0 0.0 0 0.0 0
Health care and social assistance 62 3 20 0.1 226 0.1 3,251,662 0.1 1,105
Health care and social assistance 62 5 20,281 52.0 73,528 18.3 931,688,352 18.2 975
Ambulatory health care services 621 3 2 0.0 0 0.0 0 0.0 0
Ambulatory health care services 621 5 1,901 4.9 21,893 5.4 403,841,028 7.9 1,419
Hospitals 622 1 1 0.0 1,832 0.5 42,696,246 0.8 1,792
Hospitals 622 2 83 0.2 2,083 0.5 32,090,756 0.6 1,185
Hospitals 622 3 1 0.0 0 0.0 0 0.0 0
Hospitals 622 5 22 0.1 14,589 3.6 297,387,727 5.8 1,568
Nursing and residential care facilities 623 2 32 0.1 0 0.0 0 0.0 0
Nursing and residential care facilities 623 5 272 0.7 7,505 1.9 72,702,522 1.4 745
Social assistance 624 3 17 0.0 205 0.1 2,812,520 0.1 1,057
Social assistance 624 5 18,086 46.4 29,541 7.3 157,757,075 3.1 411
Arts, entertainment, and recreation 71 3 7 0.0 1,177 0.3 14,779,068 0.3 966
Arts, entertainment, and recreation 71 5 197 0.5 3,680 0.9 22,996,285 0.4 481
Performing arts and spectator sports 711 3 1 0.0 0 0.0 0 0.0 0
Performing arts and spectator sports 711 5 48 0.1 544 0.1 4,677,951 0.1 661
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 10 0.0 278 0.1 2,486,039 0.0 688
Amusements, gambling, and recreation 713 3 5 0.0 1,087 0.3 13,256,424 0.3 938
Amusements, gambling, and recreation 713 5 139 0.4 2,858 0.7 15,832,295 0.3 426
Accommodation and food services 72 3 5 0.0 259 0.1 1,836,167 0.0 545
Accommodation and food services 72 5 1,772 4.5 31,646 7.9 189,870,030 3.7 462
Accommodation 721 5 119 0.3 2,120 0.5 15,018,076 0.3 545
Food services and drinking places 722 3 5 0.0 259 0.1 1,836,167 0.0 545
Food services and drinking places 722 5 1,653 4.2 29,526 7.3 174,851,954 3.4 456
Other services, except public administration 81 1 1 0.0 14 0.0 211,792 0.0 1,164
Other services, except public administration 81 3 11 0.0 126 0.0 1,935,199 0.0 1,185
Other services, except public administration 81 5 1,557 4.0 11,680 2.9 116,434,113 2.3 767
Repair and maintenance 811 5 616 1.6 4,606 1.1 52,141,776 1.0 871
Personal and laundry services 812 1 1 0.0 14 0.0 211,792 0.0 1,164
Personal and laundry services 812 3 11 0.0 126 0.0 1,935,199 0.0 1,185
Personal and laundry services 812 5 427 1.1 2,938 0.7 25,206,427 0.5 660
Membership associations and organizations 813 5 295 0.8 3,795 0.9 36,773,679 0.7 745
Private households 814 5 219 0.6 341 0.1 2,312,231 0.0 522
Public administration 92 1 48 0.1 6,320 1.6 98,420,978 1.9 1,198
Public administration 92 2 211 0.5 5,779 1.4 118,393,357 2.3 1,576
Public administration 92 3 43 0.1 12,035 3.0 210,073,685 4.1 1,343
Executive, legislative and general government 921 1 3 0.0 4,292 1.1 60,975,416 1.2 1,093
Executive, legislative and general government 921 2 15 0.0 386 0.1 8,830,221 0.2 1,761
Executive, legislative and general government 921 3 21 0.1 3,163 0.8 53,027,539 1.0 1,290
Justice, public order, and safety activities 922 1 12 0.0 598 0.1 13,281,637 0.3 1,708
Justice, public order, and safety activities 922 2 61 0.2 1,857 0.5 33,783,626 0.7 1,399
Justice, public order, and safety activities 922 3 6 0.0 4,322 1.1 90,712,931 1.8 1,615
Administration of human resource programs 923 1 4 0.0 162 0.0 2,931,823 0.1 1,392
Administration of human resource programs 923 2 58 0.1 1,100 0.3 22,585,024 0.4 1,579
Administration of human resource programs 923 3 3 0.0 0 0.0 0 0.0 0
Administration of environmental programs 924 1 11 0.0 215 0.1 3,407,329 0.1 1,221
Administration of environmental programs 924 2 19 0.0 596 0.1 11,647,889 0.2 1,503
Administration of environmental programs 924 3 5 0.0 760 0.2 15,173,088 0.3 1,535
Community and housing program administration 925 3 3 0.0 0 0.0 0 0.0 0
Administration of economic programs 926 1 15 0.0 666 0.2 11,930,896 0.2 1,379
Administration of economic programs 926 2 58 0.1 1,840 0.5 41,546,597 0.8 1,737
Administration of economic programs 926 3 5 0.0 124 0.0 1,888,735 0.0 1,172
National security and international affairs 928 1 3 0.0 387 0.1 5,893,877 0.1 1,172
Unclassified establishments 99 3 7 0.0 18 0.0 348,139 0.0 1,461
Unclassified establishments 99 5 102 0.3 49 0.0 1,541,676 0.0 2,437
Unclassified establishments 999 3 7 0.0 18 0.0 348,139 0.0 1,461
Unclassified establishments 999 5 102 0.3 49 0.0 1,541,676 0.0 2,437

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

Follow these steps:
  • Sign in and choose the "Census 2020" 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 06019 .. 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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