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  Situation & Outlook Report
  Orange County, FL  
  .. an information resource developed by ProximityOne .. more about these resources
  .. created 02/15/22

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.

Orange County 2018
  Median Household Income: $58,037
  Ages 0-17 in Poverty: 68,769 ... poverty rate: 22.8 ... Universe: 302,045
  Ages 5-17 in Families in Poverty: 47,713 ... poverty rate: 21.8 ... Universe: 218,501
  All ages in Poverty: 211,307 ... poverty rate: 15.6 ... Universe: 1,352,171

Orange County 2019
  Median Household Income: $63,133
  Ages 0-17 in Poverty: 53,970 ... poverty rate: 17.9 ... Universe: 301,046
  Ages 5-17 in Families in Poverty: 37,634 ... poverty rate: 17.2 ... Universe: 218,319
  All ages in Poverty: 171,599 ... poverty rate: 12.6 ... Universe: 1,363,536

Orange County 2020
  Median Household Income: $69,074
  Ages 0-17 in Poverty: 49,796 ... poverty rate: 16.7 ... Universe: 298,378
  Ages 5-17 in Families in Poverty: 35,133 ... poverty rate: 16.2 ... Universe: 217,275
  All ages in Poverty: 174,206 ... poverty rate: 12.7 ... Universe: 1,374,194

Florida 2018
  Median Household Income: $55,433
  Ages 0-17 in Poverty: 831,420 ... poverty rate: 20.0 ... Universe: 4,163,488
  Ages 5-17 in Families in Poverty: 569,270 ... poverty rate: 18.8 ... Universe: 3,027,730
  All ages in Poverty: 2,854,438 ... poverty rate: 13.7 ... Universe: 20,882,673

Florida 2019
  Median Household Income: $59,198
  Ages 0-17 in Poverty: 754,366 ... poverty rate: 18.2 ... Universe: 4,150,173
  Ages 5-17 in Families in Poverty: 512,439 ... poverty rate: 16.9 ... Universe: 3,026,836
  All ages in Poverty: 2,681,832 ... poverty rate: 12.7 ... Universe: 21,048,962

Florida 2020
  Median Household Income: $61,724
  Ages 0-17 in Poverty: 714,847 ... poverty rate: 17.2 ... Universe: 4,165,785
  Ages 5-17 in Families in Poverty: 504,335 ... poverty rate: 16.5 ... Universe: 3,051,437
  All ages in Poverty: 2,642,642 ... poverty rate: 12.4 ... Universe: 21,304,139

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

Orange is one of 67 counties in Florida. It is part of the Orlando-Kissimmee-Sanford, FL Metropolitan Statistical Area. Its 2020 population of 1,404,396 ranked 5th in the state.

Personal Income .. goto topics

In 2020, Orange had a per capita personal income (PCPI) of $49,390. This PCPI ranked 26th in the state and was 89 percent of the state average, $55,675, and 83 percent of the national average, $59,510. The 2020 PCPI reflected an increase of 5.9 percent from 2019. The 2019-2020 state change was 5.0 percent and the national change was 6.2 percent. In 2010, the PCPI of Orange was $34,117 and ranked 26th in the state. The 2010-2020 compound annual growth rate of PCPI was 3.8 percent. The compound annual growth rate for the state was 3.7 percent and for the nation was 3.9 percent.

In 2020, Orange had a personal income of $69,363,482*. This personal income ranked 5th in the state and accounted for 5.7 percent of the state total. In 2010, the personal income of Orange was $39,186,348* and ranked 5th in the state.

*Personal income estimates are in thousands of dollars, not adjusted for inflation.


Gross Domestic Product .. goto topics

In 2020, Orange produced $97,472,030 in current-dollar total GDP*. This GDP ranked 3rd in the state and accounted for 8.8 percent of the state total. In 2010, the total GDP of Orange was $65,315,456 and ranked 3rd in the state.

In 2020, Orange real GDP fell 7.8 percent; the 2019-2020 state change was -2.8 percent. The 2010-2020 compound annual growth rate for Orange real GDP was 2.1 percent; the compound annual growth rate for the state was 2.0 percent.

*GDP estimates are in thousands of dollars.


Examine personal income components and compare Orange County, FL to other areas using this interactive table.

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

02. How & Why Orange County, FL is Changing .. goto topics
Orange County, FL (12095), part of Orlando-Kissimmee-Sanford, FL MSA (36740), changed in population from 1,148,590 (2010) to 1,404,396 (2020), a change of 255,806 (22.3%).
Factors accounting the change over the decade 2010 to 2020 include:
  • Births 2010-2020: 162,899
  • Deaths 2010-2020: 78,342
  • Natural Increase 2010-2020: 84,557
  • Net Migration 2010-2020: 170,569

View a thematic map of this area, patterns of economic prosperity by census tract, using the Visual Data Analytics (VDA) Web GIS
  -- see below.

03. Census 2010, Census 2020 & Change 2010-2020 .. goto topics
Orange County, FL .. 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 1,145,956 100.0 1,429,908 100.0 283,952 24.8
  One race 1,106,631 96.6 1,164,813 81.5 58,182 5.3
    White alone 728,795 63.6 629,789 44.0 -99,006 -13.6
    Black alone 238,241 20.8 277,027 19.4 38,786 16.3
    American India/Alaskan Native alone 4,532 0.4 6,328 0.4 1,796 39.6
    Asian alone 56,581 4.9 78,348 5.5 21,767 38.5
    Native Hawaiian and Other Pacific Islander alone 1,266 0.1 1,417 0.1 151 11.9
    Other race 77,216 6.7 171,904 12.0 94,688 122.6
  Two or more races 39,325 3.4 265,095 18.5 225,770 574.1
  White, Non-Hispanic 526,754 46.0 531,362 37.2 4,608 0.9
  Black Non-Hispanic 223,200 19.5 263,624 18.4 40,424 18.1
  Hispanic (of any race) 308,244 26.9 473,025 33.1 164,781 53.5
Total population, 18 years or older 875,809 76.4 1,115,798 78.0 239,989 27.4
  One race 852,171 74.4 919,818 64.3 67,647 7.9
    White alone 580,693 50.7 516,466 36.1 -64,227 -11.1
    Black alone 167,767 14.6 204,357 14.3 36,590 21.8
    American India/Alaskan Native alone 3,352 0.3 5,018 0.4 1,666 49.7
    Asian alone 44,535 3.9 63,193 4.4 18,658 41.9
    Native Hawaiian and Other Pacific Islander alone 957 0.1 1,134 0.1 177 18.5
    Other race 54,867 4.8 129,650 9.1 74,783 136.3
  Two or more races 23,638 2.1 195,980 13.7 172,342 729.1
  White, Non-Hispanic 433,549 37.8 444,821 31.1 11,272 2.6
  Black Non-Hispanic 157,754 13.8 196,009 13.7 38,255 24.2
  Hispanic (of any race) 220,285 19.2 353,363 24.7 133,078 60.4
Group Quarters population 33,704 2.9 36,561 2.6 2,857 8.5
  Group Quarters, institutionalized population 10,214 0.9 10,249 0.7 35 0.3
  Group Quarters, noninstitutionalized population 23,490 2.0 26,312 1.8 2,822 12.0
Housing Units 487,839 100.0 561,851 100.0 74,012 15.2
  Occupied 421,847 86.5 519,437 92.5 97,590 23.1
  Vacant 65,992 13.5 42,414 7.5 -23,578 -35.7


1.1 Population & Components of Change .. goto topics
Based on Census Bureau model-based population estimates, the Orange County, FL population changed from 1,148,590 in 2010 to 1,404,396 in 2020, a change of 255,806 (22.3%).
Population/Component 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Population 1,148,590 1,170,699 1,202,716 1,227,761 1,257,031 1,291,844 1,327,775 1,357,720 1,383,657 1,395,371 1,404,396
Births 3,653 15,063 15,655 15,787 16,083 16,383 16,737 16,738 16,995 16,774 16,684
Deaths 1,553 6,829 6,837 7,199 7,246 7,499 7,846 8,098 8,443 8,800 9,545
Natural Increase 2,100 8,234 8,818 8,588 8,837 8,884 8,891 8,640 8,552 7,974 7,139
Net Migration 570 13,868 22,772 16,459 20,382 25,843 27,012 21,309 17,401 3,699 1,824
    International 1,729 9,476 9,300 9,886 12,161 14,575 17,253 18,208 18,132 7,680 8,377
    Domestic 8,377 -1,159 4,392 13,472 6,573 8,221 11,268 9,759 3,101 -731 -3,981
Group Quarters 33,422 33,125 34,077 34,728 34,993 35,097 34,863 35,218 35,212 35,767 35,766

Examine population estimates/components of change and compare Orange County, FL 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
Apopka city 1201700 42,407 43,765 45,103 46,238 47,796 49,109 50,486 52,277 53,557 53,447  
Bay Lake city 1204150 47 48 49 49 50 50 51 51 54 53  
Belle Isle city 1205300 6,005 6,115 6,277 6,405 6,535 6,692 6,872 7,035 7,171 7,240  
Eatonville town 1219650 2,122 2,145 2,179 2,192 2,202 2,221 2,240 2,242 2,246 2,213  
Edgewood city 1219900 2,485 2,531 2,600 2,652 2,708 2,773 2,847 2,915 2,972 3,003  
Lake Buena Vista city 1237625 25 25 26 26 26 27 27 27 27 27  
Maitland city 1242575 15,876 16,114 16,420 16,550 16,937 17,566 17,735 17,889 17,941 17,652  
Ocoee city 1251075 35,925 37,066 38,354 39,194 41,177 43,693 45,208 46,591 47,779 48,263  
Orlando city 1253000 239,326 243,620 249,935 255,135 262,469 270,786 278,512 281,804 285,903 287,442  
Windermere town 1278050 2,936 2,991 3,070 3,134 3,197 3,276 3,363 3,442 3,509 3,544  
Winter Park city 1278300 27,795 28,219 28,762 28,962 29,237 29,734 30,825 30,168 30,866 31,121  
Balance of Orange County 1299990 736,090 749,375 769,841 786,201 802,390 821,789 843,485 864,075 880,945 890,569  
Winter Garden city 1278250 34,963 35,951 37,196 37,955 39,079 40,712 42,570 43,680 45,227 46,051  
Oakland town 1250525 2,562 2,614 2,686 2,742 2,803 2,873 2,952 3,027 3,088 3,123  

Examine city/place population estimates and compare places in Orange County, FL to other areas using this interactive table.
.. use the county code 12095 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 1271 mover partner areas for Orange County, FL. There were a total inbound movers of 127009 and a total outbound movers of 93240, for a net movers of 16048 (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_12095.dbf.
Residence 1 Year Age Geocode Moved to 12095 Moved from 12095 Net Movers
Africa null 386 null null
Asia null 2829 null null
Central America null 960 null null
Caribbean null 3089 null null
Europe null 1504 null null
U.S. Island Areas null 619 null null
Northern America null 392 null null
Oceania and At Sea null 220 null null
South America null 7722 null null
Clarke County, Alabama 01025 0 13 -13
Coffee County, Alabama 01031 0 67 -67
Dale County, Alabama 01045 0 41 -41
Houston County, Alabama 01069 0 20 -20
Jefferson County, Alabama 01073 54 153 -99
Lauderdale County, Alabama 01077 0 70 -70
Lee County, Alabama 01081 29 79 -50
Madison County, Alabama 01089 142 81 61
Mobile County, Alabama 01097 36 22 14
Montgomery County, Alabama 01101 22 3 19
Morgan County, Alabama 01103 0 21 -21
Pike County, Alabama 01109 5 0 5
Russell County, Alabama 01113 20 14 6
St. Clair County, Alabama 01115 0 14 -14
Sumter County, Alabama 01119 0 60 -60
Anchorage Municipality, Alaska 02020 274 41 233
Denali Borough, Alaska 02068 0 11 -11
Kenai Peninsula Borough, Alaska 02122 27 0 27
Matanuska-Susitna Borough, Alaska 02170 22 0 22
Cochise County, Arizona 04003 15 29 -14
Coconino County, Arizona 04005 0 14 -14
Maricopa County, Arizona 04013 293 632 -339
Pima County, Arizona 04019 102 0 102
Yuma County, Arizona 04027 10 0 10
Benton County, Arkansas 05007 0 20 -20
Faulkner County, Arkansas 05045 0 11 -11
Lonoke County, Arkansas 05085 137 0 137
Ouachita County, Arkansas 05103 85 0 85
Pulaski County, Arkansas 05119 12 34 -22
Union County, Arkansas 05139 0 2 -2
Yell County, Arkansas 05149 17 0 17
Alameda County, California 06001 44 32 12
Butte County, California 06007 0 11 -11
Contra Costa County, California 06013 0 102 -102
Fresno County, California 06019 0 81 -81
Kern County, California 06029 38 12 26
Kings County, California 06031 0 24 -24
Los Angeles County, California 06037 330 401 -71
Marin County, California 06041 0 47 -47
Monterey County, California 06053 0 8 -8
Orange County, California 06059 134 192 -58
Placer County, California 06061 0 26 -26
Riverside County, California 06065 0 47 -47
Sacramento County, California 06067 71 133 -62
San Bernardino County, California 06071 189 40 149
San Diego County, California 06073 464 266 198
San Francisco County, California 06075 37 93 -56
San Luis Obispo County, California 06079 0 44 -44
San Mateo County, California 06081 0 64 -64
Santa Barbara County, California 06083 8 0 8
Santa Clara County, California 06085 165 368 -203
Shasta County, California 06089 0 3 -3
Solano County, California 06095 0 40 -40
Sonoma County, California 06097 235 31 204
Stanislaus County, California 06099 21 0 21
Ventura County, California 06111 93 18 75
Yolo County, California 06113 0 16 -16
Adams County, Colorado 08001 0 66 -66
Arapahoe County, Colorado 08005 178 49 129
Boulder County, Colorado 08013 16 70 -54
Broomfield County, Colorado 08014 0 28 -28
Costilla County, Colorado 08023 172 0 172
Denver County, Colorado 08031 49 174 -125
Douglas County, Colorado 08035 33 65 -32
El Paso County, Colorado 08041 297 254 43
Garfield County, Colorado 08045 7 43 -36
Grand County, Colorado 08049 0 45 -45
Jefferson County, Colorado 08059 0 53 -53
Larimer County, Colorado 08069 8 44 -36
Montezuma County, Colorado 08083 25 0 25
Weld County, Colorado 08123 57 19 38
Fairfield County, Connecticut 09001 79 32 47
Hartford County, Connecticut 09003 268 89 179
Middlesex County, Connecticut 09007 42 0 42
New Haven County, Connecticut 09009 312 20 292
New London County, Connecticut 09011 14 23 -9
Tolland County, Connecticut 09013 72 0 72
Windham County, Connecticut 09015 104 0 104
Kent County, Delaware 10001 3 5 -2
New Castle County, Delaware 10003 116 98 18
Sussex County, Delaware 10005 0 15 -15
District of Columbia, District of Columbia 11001 129 71 58
Alachua County, Florida 12001 1022 1066 -44
Baker County, Florida 12003 13 0 13
Bay County, Florida 12005 377 142 235
Bradford County, Florida 12007 0 37 -37
Brevard County, Florida 12009 1990 1510 480
Broward County, Florida 12011 3283 2223 1060
Calhoun County, Florida 12013 0 71 -71
Charlotte County, Florida 12015 241 52 189
Citrus County, Florida 12017 195 219 -24
Clay County, Florida 12019 286 459 -173
Collier County, Florida 12021 435 417 18
Columbia County, Florida 12023 297 154 143
DeSoto County, Florida 12027 35 51 -16
Dixie County, Florida 12029 83 11 72
Duval County, Florida 12031 1432 1539 -107
Escambia County, Florida 12033 257 215 42
Flagler County, Florida 12035 93 78 15
Franklin County, Florida 12037 0 51 -51
Gadsden County, Florida 12039 12 180 -168
Gilchrist County, Florida 12041 0 101 -101
Glades County, Florida 12043 0 21 -21
Gulf County, Florida 12045 0 111 -111
Hamilton County, Florida 12047 0 82 -82
Hardee County, Florida 12049 30 4 26
Hernando County, Florida 12053 165 84 81
Highlands County, Florida 12055 225 211 14
Hillsborough County, Florida 12057 2716 2496 220
Holmes County, Florida 12059 0 60 -60
Indian River County, Florida 12061 123 216 -93
Jackson County, Florida 12063 34 239 -205
Jefferson County, Florida 12065 10 76 -66
Lafayette County, Florida 12067 0 72 -72
Lake County, Florida 12069 2884 5310 -2426
Lee County, Florida 12071 815 657 158
Leon County, Florida 12073 905 974 -69
Levy County, Florida 12075 62 29 33
Liberty County, Florida 12077 0 38 -38
Madison County, Florida 12079 0 53 -53
Manatee County, Florida 12081 451 471 -20
Marion County, Florida 12083 710 679 31
Martin County, Florida 12085 247 29 218
Miami-Dade County, Florida 12086 6000 1583 4417
Monroe County, Florida 12087 17 39 -22
Nassau County, Florida 12089 252 16 236
Okaloosa County, Florida 12091 1314 178 1136
Okeechobee County, Florida 12093 0 73 -73
Osceola County, Florida 12097 5387 7835 -2448
Palm Beach County, Florida 12099 2958 2275 683
Pasco County, Florida 12101 800 270 530
Pinellas County, Florida 12103 1090 774 316
Polk County, Florida 12105 2081 3140 -1059
Putnam County, Florida 12107 86 23 63
St. Johns County, Florida 12109 228 731 -503
St. Lucie County, Florida 12111 342 341 1
Santa Rosa County, Florida 12113 192 53 139
Sarasota County, Florida 12115 428 630 -202
Seminole County, Florida 12117 10549 12056 -1507
Sumter County, Florida 12119 21 300 -279
Suwannee County, Florida 12121 0 25 -25
Taylor County, Florida 12123 50 285 -235
Union County, Florida 12125 36 66 -30
Volusia County, Florida 12127 1195 2338 -1143
Wakulla County, Florida 12129 20 30 -10
Walton County, Florida 12131 24 161 -137
Washington County, Florida 12133 0 137 -137
Barrow County, Georgia 13013 0 63 -63
Bibb County, Georgia 13021 4 20 -16
Brantley County, Georgia 13025 0 215 -215
Bulloch County, Georgia 13031 68 94 -26
Camden County, Georgia 13039 0 64 -64
Chatham County, Georgia 13051 280 91 189
Cherokee County, Georgia 13057 31 0 31
Clarke County, Georgia 13059 36 0 36
Clayton County, Georgia 13063 53 37 16
Cobb County, Georgia 13067 373 501 -128
Coffee County, Georgia 13069 0 31 -31
Coweta County, Georgia 13077 0 55 -55
DeKalb County, Georgia 13089 389 266 123
Dougherty County, Georgia 13095 0 5 -5
Douglas County, Georgia 13097 0 46 -46
Emanuel County, Georgia 13107 10 0 10
Fayette County, Georgia 13113 30 0 30
Forsyth County, Georgia 13117 45 41 4
Fulton County, Georgia 13121 573 625 -52
Gilmer County, Georgia 13123 0 41 -41
Glynn County, Georgia 13127 0 10 -10
Gwinnett County, Georgia 13135 296 81 215
Henry County, Georgia 13151 0 195 -195
Houston County, Georgia 13153 23 31 -8
Jeff Davis County, Georgia 13161 0 28 -28
Jefferson County, Georgia 13163 0 4 -4
Lee County, Georgia 13177 21 0 21
Liberty County, Georgia 13179 176 45 131
Lowndes County, Georgia 13185 0 5 -5
McIntosh County, Georgia 13191 0 45 -45
Madison County, Georgia 13195 0 53 -53
Mitchell County, Georgia 13205 0 10 -10
Muscogee County, Georgia 13215 0 54 -54
Newton County, Georgia 13217 80 20 60
Paulding County, Georgia 13223 3 0 3
Peach County, Georgia 13225 18 0 18
Richmond County, Georgia 13245 43 13 30
Rockdale County, Georgia 13247 0 61 -61
Spalding County, Georgia 13255 0 126 -126
Thomas County, Georgia 13275 0 35 -35
Union County, Georgia 13291 0 33 -33
Wayne County, Georgia 13305 0 7 -7
Honolulu County, Hawaii 15003 337 112 225
Ada County, Idaho 16001 0 2 -2
Bingham County, Idaho 16011 0 2 -2
Jefferson County, Idaho 16051 15 0 15
Owyhee County, Idaho 16073 0 2 -2
Twin Falls County, Idaho 16083 13 0 13
Boone County, Illinois 17007 113 0 113
Champaign County, Illinois 17019 0 53 -53
Clinton County, Illinois 17027 0 4 -4
Cook County, Illinois 17031 990 320 670
DuPage County, Illinois 17043 251 88 163
Jersey County, Illinois 17083 43 0 43
Kane County, Illinois 17089 0 29 -29
Lake County, Illinois 17097 4 102 -98
LaSalle County, Illinois 17099 0 13 -13
McDonough County, Illinois 17109 23 0 23
McHenry County, Illinois 17111 7 34 -27
Madison County, Illinois 17119 27 0 27
Marion County, Illinois 17121 14 0 14
Monroe County, Illinois 17133 32 0 32
Peoria County, Illinois 17143 163 0 163
Piatt County, Illinois 17147 0 3 -3
Rock Island County, Illinois 17161 0 9 -9
St. Clair County, Illinois 17163 188 0 188
Sangamon County, Illinois 17167 10 18 -8
Warren County, Illinois 17187 0 16 -16
Will County, Illinois 17197 174 12 162
Williamson County, Illinois 17199 11 0 11
Winnebago County, Illinois 17201 54 54 0
Allen County, Indiana 18003 0 41 -41
Hamilton County, Indiana 18057 14 13 1
Henry County, Indiana 18065 21 0 21
Howard County, Indiana 18067 0 18 -18
Jennings County, Indiana 18079 14 0 14
Johnson County, Indiana 18081 45 47 -2
Kosciusko County, Indiana 18085 0 17 -17
Lake County, Indiana 18089 306 7 299
Madison County, Indiana 18095 58 0 58
Marion County, Indiana 18097 78 254 -176
Marshall County, Indiana 18099 0 21 -21
Monroe County, Indiana 18105 56 0 56
Noble County, Indiana 18113 0 4 -4
Parke County, Indiana 18121 0 3 -3
Porter County, Indiana 18127 28 0 28
Ripley County, Indiana 18137 0 3 -3
St. Joseph County, Indiana 18141 20 98 -78
Scott County, Indiana 18143 30 11 19
Starke County, Indiana 18149 0 7 -7
Sullivan County, Indiana 18153 15 0 15
Tippecanoe County, Indiana 18157 8 8 0
Tipton County, Indiana 18159 0 4 -4
Vigo County, Indiana 18167 18 0 18
Warrick County, Indiana 18173 0 20 -20
Washington County, Indiana 18175 37 0 37
Black Hawk County, Iowa 19013 35 0 35
Boone County, Iowa 19015 0 15 -15
Cerro Gordo County, Iowa 19033 0 12 -12
Decatur County, Iowa 19053 0 3 -3
Guthrie County, Iowa 19077 0 4 -4
Hardin County, Iowa 19083 41 0 41
Linn County, Iowa 19113 0 10 -10
Marshall County, Iowa 19127 10 10 0
Palo Alto County, Iowa 19147 0 14 -14
Polk County, Iowa 19153 162 0 162
Poweshiek County, Iowa 19157 0 26 -26
Sac County, Iowa 19161 0 4 -4
Scott County, Iowa 19163 0 43 -43
Shelby County, Iowa 19165 0 1 -1
Story County, Iowa 19169 0 15 -15
Woodbury County, Iowa 19193 56 0 56
Finney County, Kansas 20055 0 32 -32
Geary County, Kansas 20061 0 13 -13
Johnson County, Kansas 20091 129 18 111
Labette County, Kansas 20099 0 4 -4
Leavenworth County, Kansas 20103 8 0 8
Norton County, Kansas 20137 0 30 -30
Reno County, Kansas 20155 0 8 -8
Riley County, Kansas 20161 0 53 -53
Sedgwick County, Kansas 20173 56 37 19
Bath County, Kentucky 21011 0 6 -6
Boone County, Kentucky 21015 32 53 -21
Boyle County, Kentucky 21021 0 1 -1
Breathitt County, Kentucky 21025 0 18 -18
Bullitt County, Kentucky 21029 0 22 -22
Christian County, Kentucky 21047 109 0 109
Clark County, Kentucky 21049 0 40 -40
Clinton County, Kentucky 21053 0 1 -1
Cumberland County, Kentucky 21057 0 25 -25
Daviess County, Kentucky 21059 0 26 -26
Fayette County, Kentucky 21067 163 1023 -860
Floyd County, Kentucky 21071 0 15 -15
Grayson County, Kentucky 21085 0 39 -39
Jefferson County, Kentucky 21111 472 13 459
Knox County, Kentucky 21121 0 1 -1
Livingston County, Kentucky 21139 12 0 12
McCreary County, Kentucky 21147 0 8 -8
Mason County, Kentucky 21161 0 13 -13
Pulaski County, Kentucky 21199 0 7 -7
Rowan County, Kentucky 21205 0 7 -7
Scott County, Kentucky 21209 0 15 -15
Union County, Kentucky 21225 0 35 -35
Warren County, Kentucky 21227 0 71 -71
Woodford County, Kentucky 21239 0 1 -1
East Baton Rouge Parish, Louisiana 22033 17 0 17
Jefferson Parish, Louisiana 22051 70 0 70
Lafayette Parish, Louisiana 22055 36 7 29
Natchitoches Parish, Louisiana 22069 25 0 25
Orleans Parish, Louisiana 22071 116 99 17
Rapides Parish, Louisiana 22079 16 0 16
Vernon Parish, Louisiana 22115 0 12 -12
Androscoggin County, Maine 23001 0 22 -22
Cumberland County, Maine 23005 12 29 -17
Kennebec County, Maine 23011 0 1 -1
Knox County, Maine 23013 0 9 -9
Allegany County, Maryland 24001 62 0 62
Anne Arundel County, Maryland 24003 49 49 0
Baltimore County, Maryland 24005 83 11 72
Cecil County, Maryland 24015 0 12 -12
Charles County, Maryland 24017 17 60 -43
Frederick County, Maryland 24021 12 13 -1
Harford County, Maryland 24025 13 19 -6
Howard County, Maryland 24027 10 46 -36
Montgomery County, Maryland 24031 288 30 258
Prince George's County, Maryland 24033 365 128 237
Talbot County, Maryland 24041 0 29 -29
Washington County, Maryland 24043 9 0 9
Baltimore city, Maryland 24510 321 50 271
Barnstable County, Massachusetts 25001 19 0 19
Berkshire County, Massachusetts 25003 0 29 -29
Bristol County, Massachusetts 25005 127 47 80
Essex County, Massachusetts 25009 192 28 164
Hampden County, Massachusetts 25013 51 21 30
Middlesex County, Massachusetts 25017 158 234 -76
Nantucket County, Massachusetts 25019 3 0 3
Norfolk County, Massachusetts 25021 49 104 -55
Plymouth County, Massachusetts 25023 145 119 26
Suffolk County, Massachusetts 25025 20 208 -188
Worcester County, Massachusetts 25027 285 124 161
Antrim County, Michigan 26009 0 9 -9
Baraga County, Michigan 26013 0 4 -4
Berrien County, Michigan 26021 0 3 -3
Calhoun County, Michigan 26025 26 0 26
Cass County, Michigan 26027 75 0 75
Clinton County, Michigan 26037 0 23 -23
Emmet County, Michigan 26047 20 12 8
Genesee County, Michigan 26049 0 19 -19
Gratiot County, Michigan 26057 25 0 25
Ingham County, Michigan 26065 0 19 -19
Isabella County, Michigan 26073 0 30 -30
Kalamazoo County, Michigan 26077 37 0 37
Kent County, Michigan 26081 84 116 -32
Livingston County, Michigan 26093 21 0 21
Macomb County, Michigan 26099 38 8 30
Mecosta County, Michigan 26107 0 11 -11
Midland County, Michigan 26111 0 30 -30
Monroe County, Michigan 26115 35 0 35
Muskegon County, Michigan 26121 41 0 41
Oakland County, Michigan 26125 86 181 -95
Ottawa County, Michigan 26139 135 0 135
Saginaw County, Michigan 26145 0 7 -7
Sanilac County, Michigan 26151 9 3 6
Van Buren County, Michigan 26159 0 6 -6
Washtenaw County, Michigan 26161 8 68 -60
Wayne County, Michigan 26163 236 216 20
Anoka County, Minnesota 27003 55 0 55
Cass County, Minnesota 27021 15 4 11
Chippewa County, Minnesota 27023 0 1 -1
Dakota County, Minnesota 27037 23 133 -110
Douglas County, Minnesota 27041 0 7 -7
Goodhue County, Minnesota 27049 1 0 1
Hennepin County, Minnesota 27053 254 46 208
Itasca County, Minnesota 27061 0 2 -2
Koochiching County, Minnesota 27071 0 4 -4
Marshall County, Minnesota 27089 0 3 -3
Martin County, Minnesota 27091 0 1 -1
Morrison County, Minnesota 27097 0 2 -2
Olmsted County, Minnesota 27109 0 17 -17
Ramsey County, Minnesota 27123 175 10 165
Rice County, Minnesota 27131 0 12 -12
St. Louis County, Minnesota 27137 0 16 -16
Stevens County, Minnesota 27149 0 13 -13
Calhoun County, Mississippi 28013 0 7 -7
Hancock County, Mississippi 28045 27 0 27
Hinds County, Mississippi 28049 29 0 29
Lafayette County, Mississippi 28071 43 39 4
Lauderdale County, Mississippi 28075 27 0 27
Lee County, Mississippi 28081 0 6 -6
Leflore County, Mississippi 28083 0 5 -5
Lincoln County, Mississippi 28085 6 0 6
Lowndes County, Mississippi 28087 18 0 18
Madison County, Mississippi 28089 47 0 47
Pontotoc County, Mississippi 28115 0 39 -39
Rankin County, Mississippi 28121 32 6 26
Union County, Mississippi 28145 9 0 9
Boone County, Missouri 29019 0 15 -15
Cape Girardeau County, Missouri 29031 119 0 119
Cass County, Missouri 29037 0 50 -50
Christian County, Missouri 29043 0 11 -11
Clay County, Missouri 29047 0 14 -14
Cole County, Missouri 29051 6 0 6
Franklin County, Missouri 29071 0 8 -8
Greene County, Missouri 29077 0 25 -25
Jackson County, Missouri 29095 0 7 -7
Polk County, Missouri 29167 0 8 -8
Pulaski County, Missouri 29169 0 9 -9
St. Charles County, Missouri 29183 58 46 12
St. Louis County, Missouri 29189 76 10 66
Saline County, Missouri 29195 0 8 -8
Taney County, Missouri 29213 11 0 11
Warren County, Missouri 29219 0 39 -39
St. Louis city, Missouri 29510 104 14 90
Yellowstone County, Montana 30111 0 9 -9
Cass County, Nebraska 31025 0 19 -19
Dawes County, Nebraska 31045 0 78 -78
Douglas County, Nebraska 31055 0 45 -45
Lancaster County, Nebraska 31109 0 59 -59
Sarpy County, Nebraska 31153 25 11 14
Clark County, Nevada 32003 321 462 -141
Washoe County, Nevada 32031 0 8 -8
Carroll County, New Hampshire 33003 0 2 -2
Hillsborough County, New Hampshire 33011 160 34 126
Merrimack County, New Hampshire 33013 0 13 -13
Rockingham County, New Hampshire 33015 47 44 3
Atlantic County, New Jersey 34001 48 71 -23
Bergen County, New Jersey 34003 375 102 273
Burlington County, New Jersey 34005 303 14 289
Camden County, New Jersey 34007 251 32 219
Cumberland County, New Jersey 34011 0 47 -47
Essex County, New Jersey 34013 470 27 443
Gloucester County, New Jersey 34015 11 31 -20
Hudson County, New Jersey 34017 150 74 76
Mercer County, New Jersey 34021 168 28 140
Middlesex County, New Jersey 34023 148 33 115
Monmouth County, New Jersey 34025 352 68 284
Morris County, New Jersey 34027 72 40 32
Ocean County, New Jersey 34029 55 70 -15
Passaic County, New Jersey 34031 89 22 67
Somerset County, New Jersey 34035 108 33 75
Union County, New Jersey 34039 82 180 -98
Bernalillo County, New Mexico 35001 118 50 68
Doña Ana County, New Mexico 35013 16 0 16
Lea County, New Mexico 35025 0 13 -13
Sandoval County, New Mexico 35043 0 20 -20
San Juan County, New Mexico 35045 45 0 45
Santa Fe County, New Mexico 35049 0 58 -58
Socorro County, New Mexico 35053 23 0 23
Albany County, New York 36001 42 10 32
Bronx County, New York 36005 445 416 29
Cayuga County, New York 36011 0 7 -7
Chautauqua County, New York 36013 0 198 -198
Clinton County, New York 36019 0 22 -22
Cortland County, New York 36023 0 8 -8
Dutchess County, New York 36027 24 5 19
Erie County, New York 36029 0 113 -113
Essex County, New York 36031 0 19 -19
Franklin County, New York 36033 0 9 -9
Herkimer County, New York 36043 41 0 41
Jefferson County, New York 36045 192 53 139
Kings County, New York 36047 1032 353 679
Madison County, New York 36053 29 12 17
Monroe County, New York 36055 25 66 -41
Nassau County, New York 36059 100 9 91
New York County, New York 36061 169 370 -201
Niagara County, New York 36063 60 6 54
Onondaga County, New York 36067 43 35 8
Ontario County, New York 36069 7 0 7
Orange County, New York 36071 42 0 42
Oswego County, New York 36075 0 10 -10
Queens County, New York 36081 814 300 514
Rensselaer County, New York 36083 70 0 70
Richmond County, New York 36085 299 21 278
Rockland County, New York 36087 48 76 -28
Saratoga County, New York 36091 71 0 71
Schoharie County, New York 36095 0 37 -37
Steuben County, New York 36101 0 33 -33
Suffolk County, New York 36103 258 180 78
Tompkins County, New York 36109 120 0 120
Ulster County, New York 36111 14 0 14
Wayne County, New York 36117 108 0 108
Westchester County, New York 36119 226 17 209
Alleghany County, North Carolina 37005 0 14 -14
Avery County, North Carolina 37011 0 27 -27
Buncombe County, North Carolina 37021 0 124 -124
Cabarrus County, North Carolina 37025 95 0 95
Cherokee County, North Carolina 37039 17 118 -101
Cleveland County, North Carolina 37045 0 12 -12
Columbus County, North Carolina 37047 0 5 -5
Craven County, North Carolina 37049 9 32 -23
Cumberland County, North Carolina 37051 0 260 -260
Dare County, North Carolina 37055 7 0 7
Davidson County, North Carolina 37057 0 59 -59
Davie County, North Carolina 37059 0 11 -11
Durham County, North Carolina 37063 9 210 -201
Forsyth County, North Carolina 37067 87 41 46
Franklin County, North Carolina 37069 0 44 -44
Gaston County, North Carolina 37071 19 0 19
Guilford County, North Carolina 37081 37 119 -82
Halifax County, North Carolina 37083 8 0 8
Harnett County, North Carolina 37085 2 12 -10
Henderson County, North Carolina 37089 0 18 -18
Hoke County, North Carolina 37093 0 80 -80
Iredell County, North Carolina 37097 31 0 31
Johnston County, North Carolina 37101 0 15 -15
Lee County, North Carolina 37105 50 9 41
Lenoir County, North Carolina 37107 0 35 -35
Lincoln County, North Carolina 37109 0 65 -65
Macon County, North Carolina 37113 0 14 -14
Madison County, North Carolina 37115 0 1 -1
Mecklenburg County, North Carolina 37119 109 202 -93
Moore County, North Carolina 37125 5 0 5
Nash County, North Carolina 37127 18 3 15
New Hanover County, North Carolina 37129 110 58 52
Northampton County, North Carolina 37131 24 3 21
Onslow County, North Carolina 37133 135 0 135
Orange County, North Carolina 37135 0 31 -31
Pender County, North Carolina 37141 0 1 -1
Person County, North Carolina 37145 8 0 8
Pitt County, North Carolina 37147 33 1 32
Polk County, North Carolina 37149 0 49 -49
Rowan County, North Carolina 37159 26 0 26
Scotland County, North Carolina 37165 21 0 21
Stanly County, North Carolina 37167 0 37 -37
Swain County, North Carolina 37173 0 8 -8
Transylvania County, North Carolina 37175 0 59 -59
Union County, North Carolina 37179 0 18 -18
Wake County, North Carolina 37183 723 343 380
Warren County, North Carolina 37185 0 11 -11
Washington County, North Carolina 37187 37 0 37
Watauga County, North Carolina 37189 0 13 -13
Wayne County, North Carolina 37191 0 5 -5
Bottineau County, North Dakota 38009 0 5 -5
Burleigh County, North Dakota 38015 0 13 -13
Cass County, North Dakota 38017 16 0 16
Grand Forks County, North Dakota 38035 12 4 8
Richland County, North Dakota 38077 0 3 -3
Stutsman County, North Dakota 38093 0 17 -17
Ward County, North Dakota 38101 0 2 -2
Ashland County, Ohio 39005 53 0 53
Belmont County, Ohio 39013 34 0 34
Butler County, Ohio 39017 0 36 -36
Clark County, Ohio 39023 20 53 -33
Clermont County, Ohio 39025 0 15 -15
Clinton County, Ohio 39027 0 28 -28
Cuyahoga County, Ohio 39035 280 172 108
Fairfield County, Ohio 39045 0 52 -52
Franklin County, Ohio 39049 90 60 30
Hamilton County, Ohio 39061 319 6 313
Jefferson County, Ohio 39081 0 3 -3
Lake County, Ohio 39085 0 20 -20
Lorain County, Ohio 39093 5 6 -1
Lucas County, Ohio 39095 0 47 -47
Mahoning County, Ohio 39099 40 37 3
Medina County, Ohio 39103 10 33 -23
Montgomery County, Ohio 39113 0 9 -9
Muskingum County, Ohio 39119 0 15 -15
Portage County, Ohio 39133 130 33 97
Richland County, Ohio 39139 0 9 -9
Stark County, Ohio 39151 8 10 -2
Summit County, Ohio 39153 0 18 -18
Trumbull County, Ohio 39155 0 14 -14
Wayne County, Ohio 39169 0 3 -3
Bryan County, Oklahoma 40013 0 24 -24
Comanche County, Oklahoma 40031 0 47 -47
Custer County, Oklahoma 40039 0 7 -7
Johnston County, Oklahoma 40069 9 0 9
Oklahoma County, Oklahoma 40109 36 64 -28
Tulsa County, Oklahoma 40143 19 40 -21
Wagoner County, Oklahoma 40145 0 20 -20
Clackamas County, Oregon 41005 0 37 -37
Josephine County, Oregon 41033 9 0 9
Lane County, Oregon 41039 0 14 -14
Lincoln County, Oregon 41041 0 4 -4
Marion County, Oregon 41047 0 17 -17
Multnomah County, Oregon 41051 179 12 167
Washington County, Oregon 41067 54 53 1
Allegheny County, Pennsylvania 42003 306 217 89
Beaver County, Pennsylvania 42007 34 0 34
Berks County, Pennsylvania 42011 386 6 380
Bucks County, Pennsylvania 42017 0 83 -83
Butler County, Pennsylvania 42019 0 2 -2
Centre County, Pennsylvania 42027 90 60 30
Chester County, Pennsylvania 42029 172 14 158
Cumberland County, Pennsylvania 42041 24 34 -10
Dauphin County, Pennsylvania 42043 184 9 175
Delaware County, Pennsylvania 42045 12 140 -128
Erie County, Pennsylvania 42049 19 0 19
Franklin County, Pennsylvania 42055 19 0 19
Indiana County, Pennsylvania 42063 35 0 35
Lackawanna County, Pennsylvania 42069 23 35 -12
Lancaster County, Pennsylvania 42071 76 3 73
Lebanon County, Pennsylvania 42075 0 23 -23
Lehigh County, Pennsylvania 42077 56 23 33
Luzerne County, Pennsylvania 42079 146 22 124
Monroe County, Pennsylvania 42089 15 0 15
Montgomery County, Pennsylvania 42091 78 65 13
Northampton County, Pennsylvania 42095 18 21 -3
Northumberland County, Pennsylvania 42097 7 0 7
Philadelphia County, Pennsylvania 42101 180 41 139
Schuylkill County, Pennsylvania 42107 18 0 18
Somerset County, Pennsylvania 42111 0 21 -21
Venango County, Pennsylvania 42121 0 2 -2
Warren County, Pennsylvania 42123 56 0 56
Washington County, Pennsylvania 42125 70 0 70
Westmoreland County, Pennsylvania 42129 15 0 15
Wyoming County, Pennsylvania 42131 0 9 -9
York County, Pennsylvania 42133 3 59 -56
Bristol County, Rhode Island 44001 7 0 7
Kent County, Rhode Island 44003 45 0 45
Newport County, Rhode Island 44005 0 51 -51
Providence County, Rhode Island 44007 25 140 -115
Washington County, Rhode Island 44009 0 29 -29
Anderson County, South Carolina 45007 0 10 -10
Beaufort County, South Carolina 45013 86 142 -56
Berkeley County, South Carolina 45015 0 8 -8
Charleston County, South Carolina 45019 61 106 -45
Darlington County, South Carolina 45031 0 17 -17
Greenville County, South Carolina 45045 269 42 227
Greenwood County, South Carolina 45047 0 76 -76
Horry County, South Carolina 45051 20 0 20
Laurens County, South Carolina 45059 0 15 -15
Lee County, South Carolina 45061 0 7 -7
Lexington County, South Carolina 45063 3 9 -6
McCormick County, South Carolina 45065 0 4 -4
Oconee County, South Carolina 45073 0 16 -16
Orangeburg County, South Carolina 45075 0 14 -14
Pickens County, South Carolina 45077 0 10 -10
Richland County, South Carolina 45079 76 295 -219
Saluda County, South Carolina 45081 11 0 11
Spartanburg County, South Carolina 45083 0 101 -101
Sumter County, South Carolina 45085 0 11 -11
Union County, South Carolina 45087 0 4 -4
York County, South Carolina 45091 49 93 -44
Brule County, South Dakota 46015 0 4 -4
Pennington County, South Dakota 46103 88 0 88
Bradley County, Tennessee 47011 0 9 -9
Carter County, Tennessee 47019 39 4 35
Cheatham County, Tennessee 47021 46 0 46
Claiborne County, Tennessee 47025 0 70 -70
Coffee County, Tennessee 47031 0 7 -7
Davidson County, Tennessee 47037 146 142 4
Franklin County, Tennessee 47051 0 11 -11
Grundy County, Tennessee 47061 0 33 -33
Hamilton County, Tennessee 47065 0 182 -182
Jackson County, Tennessee 47087 0 37 -37
Knox County, Tennessee 47093 16 179 -163
Madison County, Tennessee 47113 0 35 -35
Maury County, Tennessee 47119 96 61 35
Montgomery County, Tennessee 47125 112 0 112
Rhea County, Tennessee 47143 0 5 -5
Rutherford County, Tennessee 47149 63 79 -16
Sevier County, Tennessee 47155 0 69 -69
Shelby County, Tennessee 47157 19 69 -50
Sullivan County, Tennessee 47163 0 12 -12
Sumner County, Tennessee 47165 16 7 9
Union County, Tennessee 47173 47 0 47
Williamson County, Tennessee 47187 87 173 -86
Wilson County, Tennessee 47189 0 67 -67
Bell County, Texas 48027 48 37 11
Bexar County, Texas 48029 269 376 -107
Brazoria County, Texas 48039 19 0 19
Brazos County, Texas 48041 14 0 14
Collin County, Texas 48085 311 508 -197
Dallas County, Texas 48113 148 170 -22
Denton County, Texas 48121 65 201 -136
El Paso County, Texas 48141 23 41 -18
Fannin County, Texas 48147 0 9 -9
Fort Bend County, Texas 48157 0 25 -25
Galveston County, Texas 48167 0 27 -27
Hale County, Texas 48189 0 4 -4
Hardin County, Texas 48199 16 24 -8
Harris County, Texas 48201 227 446 -219
Hays County, Texas 48209 148 0 148
Henderson County, Texas 48213 12 0 12
Hidalgo County, Texas 48215 63 0 63
Hopkins County, Texas 48223 42 0 42
Howard County, Texas 48227 0 31 -31
Jasper County, Texas 48241 0 1 -1
Jefferson County, Texas 48245 0 1 -1
Johnson County, Texas 48251 31 0 31
Kaufman County, Texas 48257 0 10 -10
Lamar County, Texas 48277 76 0 76
Lamb County, Texas 48279 0 10 -10
McLennan County, Texas 48309 0 7 -7
Midland County, Texas 48329 74 0 74
Montgomery County, Texas 48339 0 215 -215
Nueces County, Texas 48355 0 44 -44
Panola County, Texas 48365 0 4 -4
Parker County, Texas 48367 0 78 -78
Polk County, Texas 48373 0 53 -53
Potter County, Texas 48375 0 8 -8
Randall County, Texas 48381 39 7 32
Reeves County, Texas 48389 0 1 -1
Sabine County, Texas 48403 0 2 -2
Smith County, Texas 48423 0 23 -23
Tarrant County, Texas 48439 712 400 312
Tom Green County, Texas 48451 0 36 -36
Travis County, Texas 48453 218 25 193
Walker County, Texas 48471 0 24 -24
Webb County, Texas 48479 0 6 -6
Wichita County, Texas 48485 36 0 36
Williamson County, Texas 48491 21 115 -94
Wise County, Texas 48497 7 0 7
Cache County, Utah 49005 0 10 -10
Davis County, Utah 49011 94 12 82
Garfield County, Utah 49017 0 6 -6
Salt Lake County, Utah 49035 135 57 78
Sevier County, Utah 49041 0 2 -2
Weber County, Utah 49057 9 40 -31
Caledonia County, Vermont 50005 0 7 -7
Chittenden County, Vermont 50007 10 5 5
Franklin County, Vermont 50011 28 0 28
Lamoille County, Vermont 50015 7 0 7
Rutland County, Vermont 50021 0 4 -4
Windsor County, Vermont 50027 71 0 71
Albemarle County, Virginia 51003 22 12 10
Arlington County, Virginia 51013 0 96 -96
Buchanan County, Virginia 51027 0 16 -16
Chesterfield County, Virginia 51041 42 113 -71
Fairfax County, Virginia 51059 546 177 369
Fauquier County, Virginia 51061 39 0 39
Halifax County, Virginia 51083 0 15 -15
Henrico County, Virginia 51087 0 41 -41
James City County, Virginia 51095 0 341 -341
King and Queen County, Virginia 51097 0 12 -12
King George County, Virginia 51099 15 0 15
Lancaster County, Virginia 51103 281 0 281
Loudoun County, Virginia 51107 95 60 35
Mecklenburg County, Virginia 51117 67 0 67
Prince George County, Virginia 51149 178 0 178
Prince William County, Virginia 51153 414 72 342
Rockingham County, Virginia 51165 0 29 -29
Stafford County, Virginia 51179 34 29 5
York County, Virginia 51199 72 14 58
Alexandria city, Virginia 51510 70 0 70
Charlottesville city, Virginia 51540 27 6 21
Chesapeake city, Virginia 51550 16 0 16
Colonial Heights city, Virginia 51570 0 10 -10
Fairfax city, Virginia 51600 0 13 -13
Hampton city, Virginia 51650 12 0 12
Harrisonburg city, Virginia 51660 25 35 -10
Lynchburg city, Virginia 51680 8 22 -14
Norfolk city, Virginia 51710 107 0 107
Richmond city, Virginia 51760 0 179 -179
Roanoke city, Virginia 51770 47 29 18
Suffolk city, Virginia 51800 0 11 -11
Virginia Beach city, Virginia 51810 64 26 38
Williamsburg city, Virginia 51830 0 17 -17
Clark County, Washington 53011 0 9 -9
Grant County, Washington 53025 0 11 -11
Island County, Washington 53029 77 0 77
King County, Washington 53033 52 372 -320
Kitsap County, Washington 53035 18 1 17
Klickitat County, Washington 53039 47 0 47
Okanogan County, Washington 53047 0 8 -8
Pierce County, Washington 53053 62 46 16
Skagit County, Washington 53057 0 5 -5
Snohomish County, Washington 53061 470 39 431
Spokane County, Washington 53063 0 4 -4
Whatcom County, Washington 53073 0 9 -9
Whitman County, Washington 53075 0 21 -21
Yakima County, Washington 53077 0 10 -10
Fayette County, West Virginia 54019 0 15 -15
Greenbrier County, West Virginia 54025 0 38 -38
Harrison County, West Virginia 54033 58 0 58
Kanawha County, West Virginia 54039 14 0 14
Mingo County, West Virginia 54059 84 0 84
Monongalia County, West Virginia 54061 17 0 17
Randolph County, West Virginia 54083 0 4 -4
Upshur County, West Virginia 54097 0 24 -24
Wood County, West Virginia 54107 6 0 6
Adams County, Wisconsin 55001 11 0 11
Brown County, Wisconsin 55009 100 35 65
Dane County, Wisconsin 55025 120 18 102
Door County, Wisconsin 55029 0 2 -2
Jefferson County, Wisconsin 55055 0 67 -67
Kenosha County, Wisconsin 55059 29 0 29
La Crosse County, Wisconsin 55063 55 76 -21
Marquette County, Wisconsin 55077 0 3 -3
Milwaukee County, Wisconsin 55079 63 194 -131
Monroe County, Wisconsin 55081 0 4 -4
Ozaukee County, Wisconsin 55089 0 55 -55
Polk County, Wisconsin 55095 0 2 -2
Portage County, Wisconsin 55097 74 0 74
Racine County, Wisconsin 55101 0 62 -62
Rock County, Wisconsin 55105 11 4 7
St. Croix County, Wisconsin 55109 0 3 -3
Waukesha County, Wisconsin 55133 41 24 17
Albany County, Wyoming 56001 0 17 -17
Laramie County, Wyoming 56021 23 0 23
Lincoln County, Wyoming 56023 37 0 37
Teton County, Wyoming 56039 0 3 -3
Adjuntas Municipio, Puerto Rico 72001 0 8 -8
Aguada Municipio, Puerto Rico 72003 88 0 88
Aguadilla Municipio, Puerto Rico 72005 13 22 -9
Aguas Buenas Municipio, Puerto Rico 72007 70 66 4
Añasco Municipio, Puerto Rico 72011 80 56 24
Arecibo Municipio, Puerto Rico 72013 8 186 -178
Arroyo Municipio, Puerto Rico 72015 99 173 -74
Barceloneta Municipio, Puerto Rico 72017 246 0 246
Bayamón Municipio, Puerto Rico 72021 566 107 459
Caguas Municipio, Puerto Rico 72025 165 157 8
Camuy Municipio, Puerto Rico 72027 185 0 185
Canóvanas Municipio, Puerto Rico 72029 139 21 118
Carolina Municipio, Puerto Rico 72031 172 141 31
Cayey Municipio, Puerto Rico 72035 65 0 65
Coamo Municipio, Puerto Rico 72043 0 42 -42
Dorado Municipio, Puerto Rico 72051 51 1 50
Fajardo Municipio, Puerto Rico 72053 139 55 84
Guánica Municipio, Puerto Rico 72055 72 0 72
Guayama Municipio, Puerto Rico 72057 49 0 49
Guaynabo Municipio, Puerto Rico 72061 71 3 68
Gurabo Municipio, Puerto Rico 72063 179 0 179
Hatillo Municipio, Puerto Rico 72065 0 70 -70
Hormigueros Municipio, Puerto Rico 72067 34 0 34
Humacao Municipio, Puerto Rico 72069 42 0 42
Isabela Municipio, Puerto Rico 72071 63 0 63
Juana Díaz Municipio, Puerto Rico 72075 67 22 45
Juncos Municipio, Puerto Rico 72077 5 0 5
Lares Municipio, Puerto Rico 72081 35 0 35
Las Piedras Municipio, Puerto Rico 72085 47 33 14
Luquillo Municipio, Puerto Rico 72089 196 0 196
Manatí Municipio, Puerto Rico 72091 132 0 132
Mayagüez Municipio, Puerto Rico 72097 180 31 149
Morovis Municipio, Puerto Rico 72101 32 50 -18
Naranjito Municipio, Puerto Rico 72105 23 1 22
Orocovis Municipio, Puerto Rico 72107 31 0 31
Patillas Municipio, Puerto Rico 72109 0 20 -20
Ponce Municipio, Puerto Rico 72113 215 35 180
Río Grande Municipio, Puerto Rico 72119 0 114 -114
Sabana Grande Municipio, Puerto Rico 72121 213 0 213
Salinas Municipio, Puerto Rico 72123 0 40 -40
San Juan Municipio, Puerto Rico 72127 814 120 694
Toa Alta Municipio, Puerto Rico 72135 167 0 167
Toa Baja Municipio, Puerto Rico 72137 237 78 159
Trujillo Alto Municipio, Puerto Rico 72139 341 52 289
Vega Alta Municipio, Puerto Rico 72143 618 0 618
Vega Baja Municipio, Puerto Rico 72145 66 0 66
Vieques Municipio, Puerto Rico 72147 19 0 19
Yauco Municipio, Puerto Rico 72153 0 15 -15
Bethel town, Fairfield County, Connecticut 0900104720 16 0 16
Bridgeport town, Fairfield County, Connecticut 0900108070 40 16 24
Norwalk town, Fairfield County, Connecticut 0900156060 0 16 -16
Trumbull town, Fairfield County, Connecticut 0900177200 23 0 23
Bristol town, Hartford County, Connecticut 0900308490 10 0 10
East Hartford town, Hartford County, Connecticut 0900322630 25 7 18
Enfield town, Hartford County, Connecticut 0900325990 32 0 32
Farmington town, Hartford County, Connecticut 0900327600 0 24 -24
Hartford town, Hartford County, Connecticut 0900337070 111 50 61
New Britain town, Hartford County, Connecticut 0900350440 38 0 38
Suffield town, Hartford County, Connecticut 0900374540 0 8 -8
West Hartford town, Hartford County, Connecticut 0900382590 52 0 52
East Haddam town, Middlesex County, Connecticut 0900722280 16 0 16
Old Saybrook town, Middlesex County, Connecticut 0900757320 26 0 26
Ansonia town, New Haven County, Connecticut 0900901220 22 0 22
Milford town, New Haven County, Connecticut 0900947535 11 15 -4
New Haven town, New Haven County, Connecticut 0900952070 28 5 23
Southbury town, New Haven County, Connecticut 0900969640 35 0 35
Waterbury town, New Haven County, Connecticut 0900980070 216 0 216
Lebanon town, New London County, Connecticut 0901142390 0 23 -23
New London town, New London County, Connecticut 0901152350 14 0 14
Columbia town, Tolland County, Connecticut 0901316400 21 0 21
Tolland town, Tolland County, Connecticut 0901376290 35 0 35
Vernon town, Tolland County, Connecticut 0901378250 16 0 16
Brooklyn town, Windham County, Connecticut 0901509190 21 0 21
Thompson town, Windham County, Connecticut 0901575870 83 0 83
Minot town, Androscoggin County, Maine 2300146160 0 22 -22
Cumberland town, Cumberland County, Maine 2300515430 0 24 -24
South Portland city, Cumberland County, Maine 2300571990 12 5 7
Augusta city, Kennebec County, Maine 2301102100 0 1 -1
Warren town, Knox County, Maine 2301380215 0 9 -9
Barnstable Town city, Barnstable County, Massachusetts 2500103690 19 0 19
Lee town, Berkshire County, Massachusetts 2500334655 0 29 -29
Dartmouth town, Bristol County, Massachusetts 2500516425 112 0 112
Fairhaven town, Bristol County, Massachusetts 2500522130 15 0 15
Mansfield town, Bristol County, Massachusetts 2500538225 0 18 -18
North Attleborough town, Bristol County, Massachusetts 2500546575 0 29 -29
Amesbury Town city, Essex County, Massachusetts 2500901260 0 28 -28
Haverhill city, Essex County, Massachusetts 2500929405 6 0 6
Lawrence city, Essex County, Massachusetts 2500934550 21 0 21
Methuen Town city, Essex County, Massachusetts 2500940710 165 0 165
Chicopee city, Hampden County, Massachusetts 2501313660 0 17 -17
Tolland town, Hampden County, Massachusetts 2501370045 0 4 -4
Westfield city, Hampden County, Massachusetts 2501376030 16 0 16
Wilbraham town, Hampden County, Massachusetts 2501379740 35 0 35
Billerica town, Middlesex County, Massachusetts 2501705805 0 21 -21
Cambridge city, Middlesex County, Massachusetts 2501711000 0 18 -18
Lowell city, Middlesex County, Massachusetts 2501737000 0 8 -8
Malden city, Middlesex County, Massachusetts 2501737875 158 0 158
Natick town, Middlesex County, Massachusetts 2501743895 0 42 -42
Newton city, Middlesex County, Massachusetts 2501745560 0 85 -85
Tewksbury town, Middlesex County, Massachusetts 2501769415 0 51 -51
Waltham city, Middlesex County, Massachusetts 2501772600 0 9 -9
Nantucket town, Nantucket County, Massachusetts 2501943790 3 0 3
Norfolk town, Norfolk County, Massachusetts 2502146050 3 0 3
Quincy city, Norfolk County, Massachusetts 2502155745 0 9 -9
Randolph Town city, Norfolk County, Massachusetts 2502156000 0 95 -95
Weymouth Town city, Norfolk County, Massachusetts 2502178972 46 0 46
Abington town, Plymouth County, Massachusetts 2502300170 145 0 145
Brockton city, Plymouth County, Massachusetts 2502309000 0 110 -110
Norwell town, Plymouth County, Massachusetts 2502350145 0 9 -9
Boston city, Suffolk County, Massachusetts 2502507000 20 147 -127
Revere city, Suffolk County, Massachusetts 2502556585 0 61 -61
Athol town, Worcester County, Massachusetts 2502702480 80 0 80
Clinton town, Worcester County, Massachusetts 2502714395 0 8 -8
Fitchburg city, Worcester County, Massachusetts 2502723875 0 64 -64
Holden town, Worcester County, Massachusetts 2502730560 17 6 11
Lancaster town, Worcester County, Massachusetts 2502734165 74 0 74
Northborough town, Worcester County, Massachusetts 2502746820 44 0 44
Rutland town, Worcester County, Massachusetts 2502758825 13 0 13
Southbridge Town city, Worcester County, Massachusetts 2502763345 0 22 -22
Worcester city, Worcester County, Massachusetts 2502782000 57 24 33
Torch Lake township, Antrim County, Michigan 2600980100 0 9 -9
Baraga township, Baraga County, Michigan 2601305340 0 4 -4
St. Joseph charter township, Berrien County, Michigan 2602170980 0 3 -3
Marengo township, Calhoun County, Michigan 2602551520 26 0 26
Howard township, Cass County, Michigan 2602739480 75 0 75
Essex township, Clinton County, Michigan 2603726400 0 7 -7
Victor township, Clinton County, Michigan 2603782320 0 16 -16
Petoskey city, Emmet County, Michigan 2604763820 20 0 20
Resort township, Emmet County, Michigan 2604768060 0 12 -12
Grand Blanc city, Genesee County, Michigan 2604933280 0 5 -5
Mount Morris township, Genesee County, Michigan 2604955980 0 14 -14
Alma city, Gratiot County, Michigan 2605701540 25 0 25
Meridian charter township, Ingham County, Michigan 2606553140 0 19 -19
Union charter township, Isabella County, Michigan 2607381340 0 30 -30
Kalamazoo charter township, Kalamazoo County, Michigan 2607742180 37 0 37
Byron township, Kent County, Michigan 2608112240 0 35 -35
East Grand Rapids city, Kent County, Michigan 2608123980 0 25 -25
Gaines charter township, Kent County, Michigan 2608131240 18 0 18
Grand Rapids city, Kent County, Michigan 2608134000 66 0 66
Sparta township, Kent County, Michigan 2608175440 0 9 -9
Wyoming city, Kent County, Michigan 2608188940 0 47 -47
Brighton township, Livingston County, Michigan 2609310640 21 0 21
Chesterfield township, Macomb County, Michigan 2609915340 38 0 38
St. Clair Shores city, Macomb County, Michigan 2609970760 0 8 -8
Fork township, Mecosta County, Michigan 2610729680 0 11 -11
Midland city, Midland County, Michigan 2611153780 0 30 -30
Dundee township, Monroe County, Michigan 2611523400 35 0 35
Montague city, Muskegon County, Michigan 2612155100 41 0 41
Auburn Hills city, Oakland County, Michigan 2612504105 0 23 -23
Commerce charter township, Oakland County, Michigan 2612517640 26 0 26
Farmington Hills city, Oakland County, Michigan 2612527440 0 25 -25
Hazel Park city, Oakland County, Michigan 2612537420 0 11 -11
Orchard Lake Village city, Oakland County, Michigan 2612561020 0 6 -6
Oxford charter township, Oakland County, Michigan 2612562040 31 0 31
Pontiac city, Oakland County, Michigan 2612565440 0 65 -65
Royal Oak city, Oakland County, Michigan 2612570040 0 16 -16
Waterford charter township, Oakland County, Michigan 2612584240 8 18 -10
White Lake charter township, Oakland County, Michigan 2612586860 21 0 21
Wixom city, Oakland County, Michigan 2612588140 0 17 -17
Crockery township, Ottawa County, Michigan 2613918800 118 0 118
Georgetown charter township, Ottawa County, Michigan 2613931880 17 0 17
Saginaw city, Saginaw County, Michigan 2614570520 0 7 -7
Bridgehampton township, Sanilac County, Michigan 2615110420 0 3 -3
Sanilac township, Sanilac County, Michigan 2615171580 9 0 9
Lawrence township, Van Buren County, Michigan 2615946460 0 6 -6
Ann Arbor city, Washtenaw County, Michigan 2616103000 8 28 -20
Pittsfield charter township, Washtenaw County, Michigan 2616164560 0 33 -33
Ypsilanti city, Washtenaw County, Michigan 2616189140 0 7 -7
Brownstown charter township, Wayne County, Michigan 2616311220 0 1 -1
Detroit city, Wayne County, Michigan 2616322000 157 169 -12
Livonia city, Wayne County, Michigan 2616349000 0 5 -5
Northville township, Wayne County, Michigan 2616359000 39 0 39
Riverview city, Wayne County, Michigan 2616368880 0 24 -24
Southgate city, Wayne County, Michigan 2616374960 8 0 8
Taylor city, Wayne County, Michigan 2616379000 32 17 15
Blaine city, Anoka County, Minnesota 2700306382 55 0 55
Fairview township, Cass County, Minnesota 2702120366 0 2 -2
Turtle Lake township, Cass County, Minnesota 2702165776 0 2 -2
Walden township, Cass County, Minnesota 2702167684 15 0 15
Granite Falls township, Chippewa County, Minnesota 2702325262 0 1 -1
Burnsville city, Dakota County, Minnesota 2703708794 9 93 -84
Inver Grove Heights city, Dakota County, Minnesota 2703731076 14 0 14
West St. Paul city, Dakota County, Minnesota 2703769700 0 40 -40
Alexandria township, Douglas County, Minnesota 2704100946 0 7 -7
Red Wing city, Goodhue County, Minnesota 2704953620 1 0 1
Bloomington city, Hennepin County, Minnesota 2705306616 31 0 31
Minneapolis city, Hennepin County, Minnesota 2705343000 223 18 205
Minnetonka city, Hennepin County, Minnesota 2705343252 0 10 -10
Richfield city, Hennepin County, Minnesota 2705354214 0 18 -18
Greenway township, Itasca County, Minnesota 2706125892 0 2 -2
International Falls city, Koochiching County, Minnesota 2707131040 0 4 -4
Alvarado city, Marshall County, Minnesota 2708901252 0 3 -3
Westford township, Martin County, Minnesota 2709169466 0 1 -1
Platte township, Morrison County, Minnesota 2709751478 0 2 -2
Rochester city, Olmsted County, Minnesota 2710954880 0 17 -17
Mounds View city, Ramsey County, Minnesota 2712344530 14 0 14
New Brighton city, Ramsey County, Minnesota 2712345430 129 0 129
Roseville city, Ramsey County, Minnesota 2712355852 0 9 -9
St. Paul city, Ramsey County, Minnesota 2712358000 32 1 31
Faribault city, Rice County, Minnesota 2713120546 0 12 -12
Duluth city, St. Louis County, Minnesota 2713717000 0 16 -16
Chokio city, Stevens County, Minnesota 2714911440 0 13 -13
Hart's Location town, Carroll County, New Hampshire 3300334500 0 2 -2
Bedford town, Hillsborough County, New Hampshire 3301104500 16 0 16
Hudson town, Hillsborough County, New Hampshire 3301137940 16 0 16
Manchester city, Hillsborough County, New Hampshire 3301145140 0 2 -2
Nashua city, Hillsborough County, New Hampshire 3301150260 128 32 96
Hooksett town, Merrimack County, New Hampshire 3301337300 0 9 -9
New London town, Merrimack County, New Hampshire 3301352100 0 4 -4
Portsmouth city, Rockingham County, New Hampshire 3301562900 0 44 -44
Sandown town, Rockingham County, New Hampshire 3301567620 13 0 13
Stratham town, Rockingham County, New Hampshire 3301574340 34 0 34
Absecon city, Atlantic County, New Jersey 3400100100 48 0 48
Hamilton township, Atlantic County, New Jersey 3400129280 0 71 -71
Englewood city, Bergen County, New Jersey 3400321480 48 0 48
Franklin Lakes borough, Bergen County, New Jersey 3400324990 0 14 -14
Hackensack city, Bergen County, New Jersey 3400328680 85 0 85
Mahwah township, Bergen County, New Jersey 3400342750 0 28 -28
Midland Park borough, Bergen County, New Jersey 3400346110 0 16 -16
Palisades Park borough, Bergen County, New Jersey 3400355770 0 9 -9
Paramus borough, Bergen County, New Jersey 3400355950 48 0 48
Ridgefield Park village, Bergen County, New Jersey 3400362940 0 31 -31
South Hackensack township, Bergen County, New Jersey 3400368970 0 4 -4
Waldwick borough, Bergen County, New Jersey 3400376400 11 0 11
Westwood borough, Bergen County, New Jersey 3400380270 183 0 183
Delran township, Burlington County, New Jersey 3400517440 0 8 -8
Evesham township, Burlington County, New Jersey 3400522110 18 0 18
Mount Laurel township, Burlington County, New Jersey 3400549020 0 6 -6
North Hanover township, Burlington County, New Jersey 3400553070 7 0 7
Palmyra borough, Burlington County, New Jersey 3400555800 36 0 36
Pemberton borough, Burlington County, New Jersey 3400557480 181 0 181
Pemberton township, Burlington County, New Jersey 3400557510 51 0 51
Springfield township, Burlington County, New Jersey 3400569990 10 0 10
Collingswood borough, Camden County, New Jersey 3400714260 25 0 25
Gloucester township, Camden County, New Jersey 3400726760 204 0 204
Haddon Heights borough, Camden County, New Jersey 3400728800 0 4 -4
Pennsauken township, Camden County, New Jersey 3400757660 0 28 -28
Stratford borough, Camden County, New Jersey 3400771220 22 0 22
Fairfield township, Cumberland County, New Jersey 3401122350 0 47 -47
Belleville township, Essex County, New Jersey 3401304695 264 0 264
East Orange city, Essex County, New Jersey 3401319390 92 0 92
Newark city, Essex County, New Jersey 3401351000 105 0 105
Nutley township, Essex County, New Jersey 3401353680 9 0 9
South Orange Village township, Essex County, New Jersey 3401369274 0 12 -12
West Orange township, Essex County, New Jersey 3401379800 0 15 -15
Clayton borough, Gloucester County, New Jersey 3401513360 0 18 -18
Glassboro borough, Gloucester County, New Jersey 3401526340 0 13 -13
Paulsboro borough, Gloucester County, New Jersey 3401557150 11 0 11
Bayonne city, Hudson County, New Jersey 3401703580 51 0 51
Hoboken city, Hudson County, New Jersey 3401732250 28 0 28
Jersey City city, Hudson County, New Jersey 3401736000 0 34 -34
Kearny town, Hudson County, New Jersey 3401736510 0 26 -26
Union City city, Hudson County, New Jersey 3401774630 0 14 -14
West New York town, Hudson County, New Jersey 3401779610 71 0 71
Hamilton township, Mercer County, New Jersey 3402129310 168 0 168
Trenton city, Mercer County, New Jersey 3402174000 0 28 -28
Edison township, Middlesex County, New Jersey 3402320230 104 0 104
New Brunswick city, Middlesex County, New Jersey 3402351210 0 33 -33
Perth Amboy city, Middlesex County, New Jersey 3402358200 44 0 44
Aberdeen township, Monmouth County, New Jersey 3402500070 52 0 52
Englishtown borough, Monmouth County, New Jersey 3402521570 75 0 75
Freehold township, Monmouth County, New Jersey 3402525230 22 33 -11
Hazlet township, Monmouth County, New Jersey 3402530690 0 14 -14
Howell township, Monmouth County, New Jersey 3402533300 19 0 19
Interlaken borough, Monmouth County, New Jersey 3402534200 0 3 -3
Keyport borough, Monmouth County, New Jersey 3402536810 0 9 -9
Middletown township, Monmouth County, New Jersey 3402545990 123 0 123
Rumson borough, Monmouth County, New Jersey 3402565130 0 9 -9
Tinton Falls borough, Monmouth County, New Jersey 3402573020 61 0 61
Denville township, Morris County, New Jersey 3402717650 0 17 -17
Dover town, Morris County, New Jersey 3402718070 9 0 9
Hanover township, Morris County, New Jersey 3402729550 0 15 -15
Montville township, Morris County, New Jersey 3402747670 0 8 -8
Parsippany-Troy Hills township, Morris County, New Jersey 3402756460 49 0 49
Washington township, Morris County, New Jersey 3402777240 14 0 14
Beachwood borough, Ocean County, New Jersey 3402904180 0 29 -29
Lakewood township, Ocean County, New Jersey 3402938550 0 27 -27
Toms River township, Ocean County, New Jersey 3402973125 55 14 41
Clifton city, Passaic County, New Jersey 3403113690 37 0 37
Paterson city, Passaic County, New Jersey 3403157000 18 22 -4
Wanaque borough, Passaic County, New Jersey 3403176730 34 0 34
Bernards township, Somerset County, New Jersey 3403505560 0 33 -33
Bound Brook borough, Somerset County, New Jersey 3403506790 92 0 92
Bridgewater township, Somerset County, New Jersey 3403507720 10 0 10
Franklin township, Somerset County, New Jersey 3403524900 6 0 6
Elizabeth city, Union County, New Jersey 3403921000 57 18 39
Hillside township, Union County, New Jersey 3403931980 0 43 -43
Plainfield city, Union County, New Jersey 3403959190 0 119 -119
Rahway city, Union County, New Jersey 3403961530 25 0 25
Albany city, Albany County, New York 3600101000 0 4 -4
Cohoes city, Albany County, New York 3600116749 42 0 42
Guilderland town, Albany County, New York 3600131104 0 6 -6
Bronx borough, Bronx County, New York 3600508510 445 416 29
Brutus town, Cayuga County, New York 3601110297 0 7 -7
Dunkirk city, Chautauqua County, New York 3601321105 0 181 -181
Pomfret town, Chautauqua County, New York 3601358981 0 17 -17
Au Sable town, Clinton County, New York 3601903221 0 12 -12
Peru town, Clinton County, New York 3601957375 0 10 -10
Cortland city, Cortland County, New York 3602318388 0 8 -8
Pawling town, Dutchess County, New York 3602756825 0 5 -5
Poughkeepsie city, Dutchess County, New York 3602759641 24 0 24
Amherst town, Erie County, New York 3602902000 0 16 -16
Clarence town, Erie County, New York 3602915825 0 48 -48
Hamburg town, Erie County, New York 3602931654 0 42 -42
West Seneca town, Erie County, New York 3602980918 0 7 -7
Moriah town, Essex County, New York 3603148428 0 7 -7
North Elba town, Essex County, New York 3603151935 0 12 -12
Tupper Lake town, Franklin County, New York 3603375676 0 9 -9
Little Falls city, Herkimer County, New York 3604342741 41 0 41
Champion town, Jefferson County, New York 3604513717 14 0 14
Clayton town, Jefferson County, New York 3604516100 63 0 63
Le Ray town, Jefferson County, New York 3604542015 46 53 -7
Watertown city, Jefferson County, New York 3604578608 69 0 69
Brooklyn borough, Kings County, New York 3604710022 1032 353 679
Oneida city, Madison County, New York 3605354837 0 12 -12
Sullivan town, Madison County, New York 3605371993 29 0 29
Brighton town, Monroe County, New York 3605508246 0 20 -20
Greece town, Monroe County, New York 3605530290 25 0 25
Perinton town, Monroe County, New York 3605557221 0 14 -14
Rochester city, Monroe County, New York 3605563000 0 32 -32
Hempstead town, Nassau County, New York 3605934000 94 9 85
Oyster Bay town, Nassau County, New York 3605956000 6 0 6
Manhattan borough, New York County, New York 3606144919 169 370 -201
Niagara town, Niagara County, New York 3606351033 32 0 32
Niagara Falls city, Niagara County, New York 3606351055 28 0 28
Porter town, Niagara County, New York 3606359267 0 6 -6
Clay town, Onondaga County, New York 3606716067 23 0 23
Onondaga town, Onondaga County, New York 3606754958 0 5 -5
Syracuse city, Onondaga County, New York 3606773000 20 0 20
Van Buren town, Onondaga County, New York 3606776760 0 30 -30
Geneva city, Ontario County, New York 3606928640 7 0 7
Blooming Grove town, Orange County, New York 3607107003 17 0 17
Wallkill town, Orange County, New York 3607177992 15 0 15
Warwick town, Orange County, New York 3607178366 10 0 10
Richland town, Oswego County, New York 3607561533 0 10 -10
Queens borough, Queens County, New York 3608160323 814 300 514
Schaghticoke town, Rensselaer County, New York 3608365486 21 0 21
Schodack town, Rensselaer County, New York 3608365541 27 0 27
Troy city, Rensselaer County, New York 3608375484 22 0 22
Staten Island borough, Richmond County, New York 3608570915 299 21 278
Clarkstown town, Rockland County, New York 3608715968 21 60 -39
Ramapo town, Rockland County, New York 3608760510 27 16 11
Stillwater town, Saratoga County, New York 3609171333 71 0 71
Cobleskill town, Schoharie County, New York 3609516639 0 34 -34
Gilboa town, Schoharie County, New York 3609528981 0 3 -3
Corning town, Steuben County, New York 3610118267 0 15 -15
Erwin town, Steuben County, New York 3610124647 0 18 -18
Babylon town, Suffolk County, New York 3610304000 21 1 20
Brookhaven town, Suffolk County, New York 3610310000 105 179 -74
Huntington town, Suffolk County, New York 3610337000 9 0 9
Islip town, Suffolk County, New York 3610338000 123 0 123
Ithaca town, Tompkins County, New York 3610938088 120 0 120
Ulster town, Ulster County, New York 3611175935 14 0 14
Palmyra town, Wayne County, New York 3611756198 108 0 108
Cortlandt town, Westchester County, New York 3611918410 42 0 42
Harrison town, Westchester County, New York 3611932413 65 0 65
New Rochelle city, Westchester County, New York 3611950617 0 17 -17
White Plains city, Westchester County, New York 3611981677 44 0 44
Yonkers city, Westchester County, New York 3611984000 75 0 75
Bell Acres borough, Allegheny County, Pennsylvania 4200305216 0 3 -3
Bethel Park municipality, Allegheny County, Pennsylvania 4200306064 22 9 13
Dormont borough, Allegheny County, Pennsylvania 4200319576 0 4 -4
McKeesport city, Allegheny County, Pennsylvania 4200346256 0 17 -17
Pittsburgh city, Allegheny County, Pennsylvania 4200361000 173 88 85
Ross township, Allegheny County, Pennsylvania 4200366264 111 20 91
Upper St. Clair township, Allegheny County, Pennsylvania 4200379274 0 76 -76
Aliquippa city, Beaver County, Pennsylvania 4200700820 23 0 23
Baden borough, Beaver County, Pennsylvania 4200703736 11 0 11
Exeter township, Berks County, Pennsylvania 4201124384 80 0 80
Reading city, Berks County, Pennsylvania 4201163624 0 6 -6
South Heidelberg township, Berks County, Pennsylvania 4201172208 197 0 197
Spring township, Berks County, Pennsylvania 4201172824 109 0 109
Bensalem township, Bucks County, Pennsylvania 4201705616 0 67 -67
Bristol township, Bucks County, Pennsylvania 4201708768 0 16 -16
Prospect borough, Butler County, Pennsylvania 4201962752 0 2 -2
Centre Hall borough, Centre County, Pennsylvania 4202712376 0 2 -2
Ferguson township, Centre County, Pennsylvania 4202725624 0 35 -35
State College borough, Centre County, Pennsylvania 4202773808 90 23 67
Caln township, Chester County, Pennsylvania 4202910824 155 0 155
East Bradford township, Chester County, Pennsylvania 4202920824 17 0 17
West Brandywine township, Chester County, Pennsylvania 4202982576 0 14 -14
Carlisle borough, Cumberland County, Pennsylvania 4204111272 0 33 -33
Mechanicsburg borough, Cumberland County, Pennsylvania 4204148376 16 0 16
Middlesex township, Cumberland County, Pennsylvania 4204149072 8 0 8
Shippensburg township, Cumberland County, Pennsylvania 4204170360 0 1 -1
Derry township, Dauphin County, Pennsylvania 4204318936 0 9 -9
Harrisburg city, Dauphin County, Pennsylvania 4204332800 184 0 184
Chester city, Delaware County, Pennsylvania 4204513208 0 71 -71
Darby township, Delaware County, Pennsylvania 4204518160 0 14 -14
Haverford township, Delaware County, Pennsylvania 4204533144 0 25 -25
Middletown township, Delaware County, Pennsylvania 4204549136 0 4 -4
Radnor township, Delaware County, Pennsylvania 4204563264 0 3 -3
Ridley Park borough, Delaware County, Pennsylvania 4204564832 0 23 -23
Upper Providence township, Delaware County, Pennsylvania 4204579248 12 0 12
Summit township, Erie County, Pennsylvania 4204975208 19 0 19
Waynesboro borough, Franklin County, Pennsylvania 4205581824 19 0 19
White township, Indiana County, Pennsylvania 4206384472 35 0 35
Scranton city, Lackawanna County, Pennsylvania 4206969000 23 35 -12
Christiana borough, Lancaster County, Pennsylvania 4207113512 4 0 4
Lancaster city, Lancaster County, Pennsylvania 4207141216 0 3 -3
Manheim township, Lancaster County, Pennsylvania 4207146896 60 0 60
New Holland borough, Lancaster County, Pennsylvania 4207153696 12 0 12
North Cornwall township, Lebanon County, Pennsylvania 4207554928 0 23 -23
Allentown city, Lehigh County, Pennsylvania 4207702000 40 11 29
Bethlehem city, Lehigh County, Pennsylvania 4207706088 16 0 16
Upper Saucon township, Lehigh County, Pennsylvania 4207779288 0 12 -12
Fairview township, Luzerne County, Pennsylvania 4207924888 0 22 -22
Hazleton city, Luzerne County, Pennsylvania 4207933408 146 0 146
Hamilton township, Monroe County, Pennsylvania 4208932176 15 0 15
Cheltenham township, Montgomery County, Pennsylvania 4209112968 8 0 8
Montgomery township, Montgomery County, Pennsylvania 4209150640 0 16 -16
Pottstown borough, Montgomery County, Pennsylvania 4209162416 0 11 -11
Trappe borough, Montgomery County, Pennsylvania 4209177304 0 22 -22
Upper Merion township, Montgomery County, Pennsylvania 4209179136 33 0 33
West Conshohocken borough, Montgomery County, Pennsylvania 4209182736 37 0 37
Whitemarsh township, Montgomery County, Pennsylvania 4209184624 0 16 -16
Bethlehem township, Northampton County, Pennsylvania 4209506096 0 13 -13
Easton city, Northampton County, Pennsylvania 4209521648 0 8 -8
Williams township, Northampton County, Pennsylvania 4209585256 18 0 18
Coal township, Northumberland County, Pennsylvania 4209714536 7 0 7
Philadelphia city, Philadelphia County, Pennsylvania 4210160000 180 41 139
South Manheim township, Schuylkill County, Pennsylvania 4210772312 4 0 4
Wayne township, Schuylkill County, Pennsylvania 4210781792 14 0 14
Somerset borough, Somerset County, Pennsylvania 4211171776 0 21 -21
Pleasantville borough, Venango County, Pennsylvania 4212161512 0 2 -2
Columbus township, Warren County, Pennsylvania 4212315408 56 0 56
Washington city, Washington County, Pennsylvania 4212581328 70 0 70
Penn township, Westmoreland County, Pennsylvania 4212958880 15 0 15
Eaton township, Wyoming County, Pennsylvania 4213122112 0 9 -9
Carroll township, York County, Pennsylvania 4213311432 3 0 3
Fairview township, York County, Pennsylvania 4213324936 0 6 -6
Newberry township, York County, Pennsylvania 4213353224 0 46 -46
York city, York County, Pennsylvania 4213387048 0 7 -7
Barrington town, Bristol County, Rhode Island 4400105140 7 0 7
Coventry town, Kent County, Rhode Island 4400318640 45 0 45
Middletown town, Newport County, Rhode Island 4400545460 0 13 -13
Newport city, Newport County, Rhode Island 4400549960 0 34 -34
Portsmouth town, Newport County, Rhode Island 4400557880 0 4 -4
Central Falls city, Providence County, Rhode Island 4400714140 0 39 -39
East Providence city, Providence County, Rhode Island 4400722960 16 0 16
Pawtucket city, Providence County, Rhode Island 4400754640 0 5 -5
Providence city, Providence County, Rhode Island 4400759000 9 79 -70
Woonsocket city, Providence County, Rhode Island 4400780780 0 17 -17
New Shoreham town, Washington County, Rhode Island 4400950500 0 4 -4
North Kingstown town, Washington County, Rhode Island 4400951580 0 15 -15
Westerly town, Washington County, Rhode Island 4400977000 0 10 -10
Kirby town, Caledonia County, Vermont 5000537900 0 2 -2
Stannard town, Caledonia County, Vermont 5000569925 0 5 -5
Burlington city, Chittenden County, Vermont 5000710675 0 5 -5
Milton town, Chittenden County, Vermont 5000745250 10 0 10
Fairfax town, Franklin County, Vermont 5001124925 28 0 28
Morristown town, Lamoille County, Vermont 5001546675 7 0 7
Danby town, Rutland County, Vermont 5002116825 0 4 -4
Hartford town, Windsor County, Vermont 5002732275 71 0 71
Rome town, Adams County, Wisconsin 5500169275 11 0 11
Green Bay city, Brown County, Wisconsin 5500931000 30 35 -5
Howard village, Brown County, Wisconsin 5500935950 70 0 70
Deerfield village, Dane County, Wisconsin 5502519250 110 0 110
Madison city, Dane County, Wisconsin 5502548000 10 0 10
Westport town, Dane County, Wisconsin 5502586125 0 18 -18
Egg Harbor village, Door County, Wisconsin 5502922850 0 2 -2
Oakland town, Jefferson County, Wisconsin 5505559125 0 67 -67
Kenosha city, Kenosha County, Wisconsin 5505939225 29 0 29
La Crosse city, La Crosse County, Wisconsin 5506340775 0 76 -76
Shelby town, La Crosse County, Wisconsin 5506373125 55 0 55
Oxford town, Marquette County, Wisconsin 5507760900 0 3 -3
Milwaukee city, Milwaukee County, Wisconsin 5507953000 63 170 -107
River Hills village, Milwaukee County, Wisconsin 5507968325 0 3 -3
Shorewood village, Milwaukee County, Wisconsin 5507973725 0 21 -21
Warrens village, Monroe County, Wisconsin 5508183450 0 4 -4
Mequon city, Ozaukee County, Wisconsin 5508951150 0 55 -55
Farmington town, Polk County, Wisconsin 5509525350 0 2 -2
Stevens Point city, Portage County, Wisconsin 5509777200 74 0 74
Burlington town, Racine County, Wisconsin 5510111225 0 24 -24
Dover town, Racine County, Wisconsin 5510120625 0 30 -30
Racine city, Racine County, Wisconsin 5510166000 0 8 -8
Beloit city, Rock County, Wisconsin 5510506500 11 0 11
Johnstown town, Rock County, Wisconsin 5510538450 0 4 -4
Springfield town, St. Croix County, Wisconsin 5510975950 0 3 -3
Delafield town, Waukesha County, Wisconsin 5513319425 0 24 -24
Pewaukee city, Waukesha County, Wisconsin 5513362240 41 0 41

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
.. 2020 and 2025 values available in premium edition.
GENERAL DEMOGRAPHIC CHARACTERISTICS (DP1) ItemCode ACS 2019
5-year
 Percent 2020
Estimate		 2020
Percent		 2025
Projection		 2025
Percent
SEX AND AGE        
.Total population D001 1,349,746    
..Male D002 662,036 49.0    
..Female D003 687,710 51.0    
..Sex ratio (males per 100 females) D004 96.3    
       
..Under 5 years D005 82,998 6.1    
..5 to 9 years D006 82,480 6.1    
..10 to 14 years D007 85,238 6.3    
..15 to 19 years D008 89,431 6.6    
..20 to 24 years D009 105,224 7.8    
..25 to 34 years D010 227,169 16.8    
..35 to 44 years D011 191,640 14.2    
..45 to 54 years D012 178,464 13.2    
..55 to 59 years D013 81,063 6.0    
..60 to 64 years D014 68,887 5.1    
..65 to 74 years D015 94,929 7.0    
..75 to 84 years D016 44,083 3.3    
..85 years and over D017 18,140 1.3    
       
..Median age (years) D018 35.1    
       
..Under 18 years D019 301,720 22.4    
..16 years and over D020 1,081,003 80.1    
..18 years and over D021 1,048,026 77.6    
..21 years and over D022 987,691 73.2    
..62 years and over D023 196,752 14.6    
..65 years and over D024 157,152 11.6    
       
..18 years and over D025 1,048,026    
...Male D026 508,159 48.5    
...Female D027 539,867 51.5    
...Sex ratio (males per 100 females) D028 94.1    
       
..65 years and over D029 157,152    
...Male D030 68,653 43.7    
...Female D031 88,499 56.3    
...Sex ratio (males per 100 females) D032 77.6    
       
RACE        
.Total population D033 1,349,746    
..One race D034 1,301,187 96.4    
..Two or more races D035 48,559 3.6    
       
..One race D036 1,301,187 96.4    
...White D037 857,963 63.6    
...Black or African American D038 282,677 20.9    
...American Indian and Alaska Native D039 3,119 0.2    
....Cherokee tribal grouping D040 151 0.0    
....Chippewa tribal grouping D041 33 0.0    
....Navajo tribal grouping D042 76 0.0    
....Sioux tribal grouping D043 47 0.0    
...Asian D044 69,700 5.2    
....Asian Indian D045 21,345 1.6    
....Chinese D046 12,271 0.9    
....Filipino D047 11,334 0.8    
....Japanese D048 1,244 0.1    
....Korean D049 3,532 0.3    
....Vietnamese D050 13,605 1.0    
....Other Asian D051 6,369 0.5    
...Native Hawaiian and Other Pacific Islander D052 1,146 0.1    
....Native Hawaiian D053 315 0.0    
....Guamanian or Chamorro D054 427 0.0    
....Samoan D055 242 0.0    
....Other Pacific Islander D056 162 0.0    
...Some other race D057 86,582 6.4    
..Two or more races D058 48,559 3.6    
...White and Black or African American D059 15,247 1.1    
...White and American Indian and Alaska Native D060 4,139 0.3    
...White and Asian D061 8,900 0.7    
...Black or African American and American Indian and Alaska Native D062 1,082 0.1    
       
Race alone or in combination with one or more other races        
.Total population D063 1,349,746    
..White D064 896,849 66.4    
..Black or African American D065 307,465 22.8    
..American Indian and Alaska Native D066 10,564 0.8    
..Asian D067 86,068 6.4    
..Native Hawaiian and Other Pacific Islander D068 3,598 0.3    
..Some other race D069 98,391 7.3    
       
HISPANIC OR LATINO AND RACE        
.Total population D070 1,349,746    
..Hispanic or Latino (of any race) D071 427,125 31.6    
...Mexican D072 43,412 3.2    
...Puerto Rican D073 199,936 14.8    
...Cuban D074 38,479 2.9    
...Other Hispanic or Latino D075 145,298 10.8    
..Not Hispanic or Latino D076 922,621 68.4    
...White alone D077 540,187 40.0    
...Black or African American alone D078 267,070 19.8    
...American Indian and Alaska Native alone D079 1,687 0.1    
...Asian alone D080 68,454 5.1    
...Native Hawaiian and Other Pacific Islander alone D081 837 0.1    
...Some other race alone D082 11,610 0.9    
...Two or more races D083 32,776 2.4    
....Two races including Some other race D084 3,110 0.2    
....Two races excluding Some other race, and Three or more races D085 29,666 2.2    
       
.Total housing units D086 535,981    
       
CITIZEN, VOTING AGE POPULATION        
.Citizen, 18 and over population D087 922,714    
..Male D088 448,066 48.6    
..Female D089 474,648 51.4    


2.2. Social Characteristics .. goto topics
.. 2020 and 2025 values available in premium edition.
SOCIAL CHARACTERISTICS (DP2) ItemCode ACS 2019
5-year
 Percent 2020
Estimate		 2020
Percent		 2025
Projection		 2025
Percent
HOUSEHOLDS BY TYPE        
.Total households S001 461,705    
..Married-couple family S002 209,431 45.4    
...With own children of the householder under 18 years S003 89,081 19.3    
..Cohabiting couple household S004 35,891 7.8    
...With own children of the householder under 18 years S005 11,961 2.6    
..Male householder, no spouse/partner present S006 85,164 18.4    
...With own children of the householder under 18 years S007 6,098 1.3    
...Householder living alone S008 54,402 11.8    
....65 years and over S009 10,167 2.2    
..Female householder, no spouse/partner present S010 131,219 28.4    
...With own children of the householder under 18 years S011 30,808 6.7    
...Householder living alone S012 60,658 13.1    
....65 years and over S013 22,180 4.8    
       
..Households with one or more people under 18 years S014 155,447 33.7    
..Households with one or more people 65 years and over S015 106,532 23.1    
       
..Average household size S016 2.9    
..Average family size S017 3.4    
       
RELATIONSHIP        
.Population in households S018 1,317,997    
..Householder S019 461,705 35.0    
..Spouse S020 209,403 15.9    
..Unmarried partner S021 35,965 2.7    
..Child S022 405,903 30.8    
..Other relatives S023 127,443 9.7    
..Other nonrelatives S024 77,578 5.9    
       
MARITAL STATUS        
.Males 15 years and over S025 533,706    
..Never married S026 222,088 41.6    
..Now married, except separated S027 239,928 45.0    
..Separated S028 10,418 2.0    
..Widowed S029 8,919 1.7    
..Divorced S030 52,353 9.8    
       
.Females 15 years and over S031 565,324    
..Never married S032 200,942 35.5    
..Now married, except separated S033 234,778 41.5    
..Separated S034 15,518 2.7    
..Widowed S035 38,926 6.9    
..Divorced S036 75,160 13.3    
       
FERTILITY        
.Number of women 15 to 50 years old who had a birth in the past 12 months S037 17,843    
..Unmarried women (widowed, divorced, and never married) S038 6,629 37.2    
...Per 1,000 unmarried women S039 30    
..Per 1,000 women 15 to 50 years old S040 49    
..Per 1,000 women 15 to 19 years old S041 10    
..Per 1,000 women 20 to 34 years old S042 76    
..Per 1,000 women 35 to 50 years old S043 31    
       
GRANDPARENTS        
.Number of grandparents living with own grandchildren under 18 years S044 35,739    
..Grandparents responsible for grandchildren S045 8,923 25.0    
..Years responsible for grandchildren
...Less than 1 year S046 1,951 5.5    
...1 or 2 years S047 1,778 5.0    
...3 or 4 years S048 1,516 4.2    
...5 or more years S049 3,678 10.3    
       
.Number of grandparents responsible for own grandchildren under 18 years S050 8,923    
..Who are female S051 5,777 64.7    
..Who are married S052 5,781 64.8    
       
SCHOOL ENROLLMENT        
.Population 3 years and over enrolled in school S053 365,516    
..Nursery school, preschool S054 23,417 6.4    
..Kindergarten S055 16,871 4.6    
..Elementary school (grades 1-8) S056 133,111 36.4    
..High school (grades 9-12) S057 68,740 18.8    
..College or graduate school S058 123,377 33.8    
       
EDUCATIONAL ATTAINMENT        
.Population 25 years and over S059 904,375    
..Less than 9th grade S060 40,650 4.5    
..9th to 12th grade, no diploma S061 63,054 7.0    
..High school graduate (includes equivalency) S062 220,379 24.4    
..Some college, no degree S063 168,651 18.6    
..Associate's degree S064 98,825 10.9    
..Bachelor's degree S065 206,396 22.8    
..Graduate or professional degree S066 106,420 11.8    
       
..High school graduate or higher S067 800,671 88.5    
..Bachelor's degree or higher S068 312,816 34.6    
       
VETERAN STATUS        
.Civilian population 18 years and over S069 1,047,411    
..Civilian veterans S070 62,980 6.0    
       
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION        
.Total Civilian Noninstitutionalized Population S071 1,338,194    
..With a disability S072 147,715 11.0    
       
.Under 18 years S073 301,160    
..With a disability S074 14,916 5.0    
       
.18 to 64 years S075 883,083    
..With a disability S076 78,001 8.8    
       
.65 years and over S077 153,951    
..With a disability S078 54,798 35.6    
       
RESIDENCE 1 YEAR AGO        
.Population 1 year and over S079 1,334,861    
..Same house S080 1,088,838 81.6    
..Different house in the U.S. S081 222,268 16.7    
...Same county S082 132,272 9.9    
...Different county S083 89,996 6.7    
....Same state S084 52,498 3.9    
....Different state S085 37,498 2.8    
..Abroad S086 23,755 1.8    
       
PLACE OF BIRTH        
.Total population S087 1,349,746    
..Native S088 1,057,831 78.4    
...Born in United States S089 928,977 68.8    
....State of residence S090 473,124 35.1    
....Different state S091 455,853 33.8    
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s) S092 128,854 9.5    
..Foreign born S093 291,915 21.6    
       
U.S. CITIZENSHIP STATUS        
.Foreign-born population S094 291,915    
..Naturalized U.S. citizen S095 150,619 51.6    
..Not a U.S. citizen S096 141,296 48.4    
       
YEAR OF ENTRY        
.Population born outside the United States S097 420,769    
       
..Native S098 128,854    
...Entered 2010 or later S099 41,762 32.4    
...Entered before 2010 S100 87,092 67.6    
       
..Foreign born S101 291,915    
...Entered 2010 or later S102 82,768 28.4    
...Entered before 2010 S103 209,147 71.6    
       
WORLD REGION OF BIRTH OF FOREIGN BORN        
.Foreign-born population, excluding population born at sea S104 291,915    
..Europe S105 19,279 6.6    
..Asia S106 48,056 16.5    
..Africa S107 8,780 3.0    
..Oceania S108 477 0.2    
..Latin America S109 211,560 72.5    
..Northern America S110 3,763 1.3    
       
LANGUAGE SPOKEN AT HOME        
.Population 5 years and over S111 1,266,748    
..English only S112 799,784 63.1    
..Language other than English S113 466,964 36.9    
...Speak English less than very well" " S114 175,849 13.9    
..Spanish S115 327,215 25.8    
...Speak English less than very well" " S116 126,847 10.0    
..Other Indo-European languages S117 88,642 7.0    
...Speak English less than very well" " S118 29,115 2.3    
..Asian and Pacific Islander languages S119 39,324 3.1    
...Speak English less than very well" " S120 17,063 1.3    
..Other languages S121 11,783 0.9    
...Speak English less than very well" " S122 2,824 0.2    
       
ANCESTRY        
.Total population S123 1,349,746    
..American S124 110,559 8.2    
..Arab S125 11,387 0.8    
..Czech S126 3,308 0.2    
..Danish S127 2,322 0.2    
..Dutch S128 7,750 0.6    
..English S129 66,278 4.9    
..French (except Basque) S130 23,054 1.7    
..French Canadian S131 4,041 0.3    
..German S132 92,431 6.8    
..Greek S133 3,563 0.3    
..Hungarian S134 3,555 0.3    
..Irish S135 84,605 6.3    
..Italian S136 63,273 4.7    
..Lithuanian S137 1,899 0.1    
..Norwegian S138 6,879 0.5    
..Polish S139 23,409 1.7    
..Portuguese S140 6,840 0.5    
..Russian S141 7,485 0.6    
..Scotch-Irish S142 8,189 0.6    
..Scottish S143 15,570 1.2    
..Slovak S144 1,452 0.1    
..Subsaharan African S145 11,838 0.9    
..Swedish S146 7,245 0.5    
..Swiss S147 2,107 0.2    
..Ukrainian S148 2,804 0.2    
..Welsh S149 5,619 0.4    
..West Indian (excluding Hispanic origin groups) S150 86,852 6.4    
       
COMPUTERS AND INTERNET USE        
.Total households S151 461,705    
..With a computer S152 435,646 94.4    
..With a broadband Internet subscription S153 402,843 87.3    


2.3. Economic Characteristics .. goto topics
.. 2020 and 2025 values available in premium edition.
ECONOMIC CHARACTERISTICS (DP3) ItemCode ACS 2019
5-year
 Percent 2020
Estimate		 2020
Percent		 2025
Projection		 2025
Percent
EMPLOYMENT STATUS        
.Population 16 years and over E001 1,081,003    
..In labor force E002 726,486 67.2    
...Civilian labor force E003 725,871 67.1    
....Employed E004 688,631 63.7    
....Unemployed E005 37,240 3.4    
...Armed Forces E006 615 0.1    
..Not in labor force E007 354,517 32.8    
       
.Civilian labor force E008 725,871    
..Unemployment Rate E009 5.1    
       
.Females 16 years and over E010 555,885    
..In labor force E011 345,393 62.1    
...Civilian labor force E012 345,237 62.1    
....Employed E013 327,758 59.0    
       
.Own children of the householder under 6 years E014 94,440    
..All parents in family in labor force E015 64,364 68.2    
       
.Own children of the householder 6 to 17 years E016 193,047    
..All parents in family in labor force E017 141,703 73.4    
       
COMMUTING TO WORK        
.Workers 16 years and over E018 677,192    
..Car, truck, or van -- drove alone E019 533,183 78.7    
..Car, truck, or van -- carpooled E020 66,746 9.9    
..Public transportation (excluding taxicab) E021 16,148 2.4    
..Walked E022 8,440 1.2    
..Other means E023 15,327 2.3    
..Worked from home E024 37,348 5.5    
       
..Mean travel time to work (minutes) E025 28.2    
       
OCCUPATION        
.Civilian employed population 16 years and over E026 688,631    
..Management, business, science, and arts occupations E027 256,286 37.2    
..Service occupations E028 138,317 20.1    
..Sales and office occupations E029 168,264 24.4    
..Natural resources, construction, and maintenance occupations E030 53,226 7.7    
..Production, transportation, and material moving occupations E031 72,538 10.5    
       
INDUSTRY        
.Civilian employed population 16 years and over E032 688,631    
..Agriculture, forestry, fishing and hunting, and mining E033 2,903 0.4    
..Construction E034 46,039 6.7    
..Manufacturing E035 31,780 4.6    
..Wholesale trade E036 17,535 2.5    
..Retail trade E037 79,811 11.6    
..Transportation and warehousing, and utilities E038 38,825 5.6    
..Information E039 14,866 2.2    
..Finance and insurance, and real estate and rental and leasing E040 49,143 7.1    
..Professional, scientific, and management, and administrative and waste management services E041 95,655 13.9    
..Educational services, and health care and social assistance E042 130,459 18.9    
..Arts, entertainment, and recreation, and accommodation and food services E043 130,997 19.0    
..Other services, except public administration E044 30,032 4.4    
..Public administration E045 20,586 3.0    
       
CLASS OF WORKER        
.Civilian employed population 16 years and over E046 688,631    
..Private wage and salary workers E047 593,602 86.2    
..Government workers E048 62,106 9.0    
..Self-employed in own not incorporated business workers E049 31,748 4.6    
..Unpaid family workers E050 1,175 0.2    
       
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS)        
.Total households E051 461,705    
..Less than $10,000 E052 28,576 6.2    
..$10,000 to $14,999 E053 17,753 3.8    
..$15,000 to $24,999 E054 42,296 9.2    
..$25,000 to $34,999 E055 45,628 9.9    
..$35,000 to $49,999 E056 63,745 13.8    
..$50,000 to $74,999 E057 86,645 18.8    
..$75,000 to $99,999 E058 57,426 12.4    
..$100,000 to $149,999 E059 63,146 13.7    
..$150,000 to $199,999 E060 26,235 5.7    
..$200,000 or more E061 30,255 6.6    
..Median household income (dollars) E062 58,254    
..Mean household income (dollars) E063 83,706    
       
..With earnings E064 387,454 83.9    
...Mean earnings (dollars) E065 83,872    
..With Social Security E066 111,544 24.2    
...Mean Social Security income (dollars) E067 18,707    
..With retirement income E068 62,484 13.5    
...Mean retirement income (dollars) E069 25,870    
       
..With Supplemental Security Income E070 21,769 4.7    
...Mean Supplemental Security Income (dollars) E071 9,969    
..With cash public assistance income E072 9,571 2.1    
...Mean cash public assistance income (dollars) E073 2,436    
..With Food Stamp/SNAP benefits in the past 12 months E074 70,531 15.3    
       
.Families E075 304,886    
..Less than $10,000 E076 12,794 4.2    
..$10,000 to $14,999 E077 7,030 2.3    
..$15,000 to $24,999 E078 23,216 7.6    
..$25,000 to $34,999 E079 28,495 9.3    
..$35,000 to $49,999 E080 39,088 12.8    
..$50,000 to $74,999 E081 56,562 18.6    
..$75,000 to $99,999 E082 41,518 13.6    
..$100,000 to $149,999 E083 48,540 15.9    
..$150,000 to $199,999 E084 21,754 7.1    
..$200,000 or more E085 25,889 8.5    
..Median family income (dollars) E086 67,326    
..Mean family income (dollars) E087 95,786    
       
.Per capita income (dollars) E088 30,456    
       
.Nonfamily households E089 156,819    
..Median nonfamily income (dollars) E090 39,769    
..Mean nonfamily income (dollars) E091 55,464    
       
.Median earnings for workers (dollars) E092 31,073    
.Median earnings for male full-time, year-round workers (dollars) E093 44,347    
.Median earnings for female full-time, year-round workers (dollars) E094 37,178    
       
HEALTH INSURANCE COVERAGE        
.Civilian noninstitutionalized population E095 1,338,194    
..With health insurance coverage E096 1,160,486 86.7    
...With private health insurance E097 872,154 65.2    
...With public coverage E098 389,078 29.1    
..No health insurance coverage E099 177,708 13.3    
       
.Civilian noninstitutionalized population under 19 years E100 320,601    
..No health insurance coverage E101 22,791 7.1    
       
.Civilian noninstitutionalized population 19 to 64 years E102 863,642    
..In labor force: E103 685,581    
...Employed: E104 652,673    
....With health insurance coverage E105 550,788 84.4    
.....With private health insurance E106 517,011 79.2    
.....With public coverage E107 49,177 7.5    
....No health insurance coverage E108 101,885 15.6    
...Unemployed: E109 32,908    
....With health insurance coverage E110 19,609 59.6    
.....With private health insurance E111 13,606 41.3    
.....With public coverage E112 6,730 20.5    
....No health insurance coverage E113 13,299 40.4    
..Not in labor force: E114 178,061    
...With health insurance coverage E115 141,268 79.3    
....With private health insurance E116 94,451 53.0    
....With public coverage E117 57,257 32.2    
...No health insurance coverage E118 36,793 20.7    
       
PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL        
.All families E119 11.4    
..With related children of the householder under 18 years E120 16.9    
...With related children of the householder under 5 years only E121 14.0    
..Married couple families E122 6.4    
...With related children of the householder under 18 years E123 8.8    
....With related children of the householder under 5 years only E124 6.1    
..Families with female householder, no spouse present E125 25.6    
...With related children of the householder under 18 years E126 33.9    
....With related children of the householder under 5 years only E127 37.6    
       
.All people E128 14.9    
..Under 18 years E129 21.0    
...Related children of the householder under 18 years E130 20.7    
....Related children of the householder under 5 years E131 22.5    
....Related children of the householder 5 to 17 years E132 20.0    
..18 years and over E133 13.1    
...18 to 64 years E134 13.3    
...65 years and over E135 11.5    
..People in families E136 12.4    
..Unrelated individuals 15 years and over E137 24.5    


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 December 2021; next update February 26, 2022 (January 2022 data). Table below saved as c:\dede\1\12095bp.csv.
Units in StructureJan-20Feb-20Mar-20Apr-20May-20Jun-20Jul-20Aug-20Sep-20Oct-20Nov-20Dec-20
Single Family, Buildings 302 354 354 363 457 436 562 484 512 434 481 592
Single Family, Units 302 354 354 363 457 436 562 484 512 434 481 592
Single Family, Value 94,087 107,954 105,067 97,511 121,065 120,015 193,127 164,609 141,498 117,055 130,561 166,621
2 Unit, Buildings 8 12 13 20 18 24 10 12 6 5 7 2
2 Unit, Units 16 24 26 40 36 48 20 24 12 10 14 4
2 Unit, Value 3,356 5,027 5,925 6,686 6,558 9,066 3,003 5,382 2,372 2,007 2,789 925
3-4 Unit, Buildings 0 0 0 0 1 3 1 2 0 0 1 1
3-4 Unit, Units 0 0 0 0 4 12 4 8 0 0 4 3
3-4 Unit, Value 0 0 0 0 945 2,175 342 1,890 0 0 761 357
5+ Unit, Buildings 13 3 7 5 13 4 5 37 4 4 4 4
5+ Unit, Units 906 136 689 635 244 110 203 1,882 265 178 69 228
5+ Unit, Value 133,116 19,965 105,081 142,001 24,419 14,574 26,677 186,574 61,332 20,843 11,541 29,320

Units in StructureJan-21Feb-21Mar-21Apr-21May-21Jun-21Jul-21Aug-21Sep-21Oct-21Nov-21Dec-21
Single Family, Buildings 399 357 527 638 471 416 359 368 336 316 272 286
Single Family, Units 399 357 527 638 471 416 359 368 336 316 272 286
Single Family, Value 131,339 117,166 170,182 206,947 163,857 138,806 121,781 127,415 107,750 108,580 101,863 106,276
2 Unit, Buildings 3 5 1 11 8 13 12 14 2 0 0 2
2 Unit, Units 6 10 2 22 16 26 24 28 4 0 0 4
2 Unit, Value 1,030 1,698 383 4,214 3,891 5,345 4,378 4,802 455 0 0 767
3-4 Unit, Buildings 0 0 0 0 0 1 0 0 1 0 0 0
3-4 Unit, Units 0 0 0 0 0 3 0 0 4 0 0 0
3-4 Unit, Value 0 0 0 0 0 1,052 0 0 586 0 0 0
5+ Unit, Buildings 17 3 16 22 11 8 8 19 20 45 8 2
5+ Unit, Units 671 55 363 816 340 1,132 401 1,665 611 1,383 320 111
5+ Unit, Value 144,110 7,251 39,080 91,995 27,780 145,627 59,250 141,135 67,446 193,599 61,200 12,751

2.4.1. New Authorized Residential Construction.. goto topics
Place: Orlando
.. updated monthly based on data reported by local governments. Compare monthly data for 2020 through December 2021; next update February 26, 2022 (January 2022 data). Table below saved as c:\dede\1\12095bp.csv.
Units in StructureJan-20Feb-20Mar-20Apr-20May-20Jun-20Jul-20Aug-20Sep-20Oct-20Nov-20Dec-20
Single Family, Buildings 28 101 115 83 107 65 72 68 73 74 78 92
Single Family, Units 28 101 115 83 107 65 72 68 73 74 78 92
Single Family, Value 11,066 34,769 38,989 22,676 28,500 20,769 22,802 21,860 22,554 21,792 21,401 25,272
2 Unit, Buildings 6 12 13 20 18 24 10 9 6 5 7 0
2 Unit, Units 12 24 26 40 36 48 20 18 12 10 14 0
2 Unit, Value 2,110 5,027 5,925 6,686 6,558 9,066 3,003 4,094 2,372 2,007 2,789 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 13 0 6 5 0 0 0 12 3 0 1 0
5+ Unit, Units 906 0 646 635 0 0 0 926 245 0 27 0
5+ Unit, Value 133,116 0 100,580 142,001 0 0 0 98,494 58,345 0 5,455 0

Units in StructureJan-21Feb-21Mar-21Apr-21May-21Jun-21Jul-21Aug-21Sep-21Oct-21Nov-21Dec-21
Single Family, Buildings 102 97 110 101 63 85 96 93 139 45 49 10
Single Family, Units 102 97 110 101 63 85 96 93 139 45 49 10
Single Family, Value 27,642 24,836 28,624 27,154 19,783 25,646 25,118 22,787 33,038 13,480 18,156 2,620
2 Unit, Buildings 3 5 1 11 8 12 12 13 2 0 0 1
2 Unit, Units 6 10 2 22 16 24 24 26 4 0 0 2
2 Unit, Value 1,030 1,698 383 4,214 3,891 4,962 4,378 4,200 455 0 0 363
3-4 Unit, Buildings 0 0 0 0 0 0 0 0 1 0 0 0
3-4 Unit, Units 0 0 0 0 0 0 0 0 4 0 0 0
3-4 Unit, Value 0 0 0 0 0 0 0 0 586 0 0 0
5+ Unit, Buildings 4 1 0 6 10 2 2 5 0 23 0 0
5+ Unit, Units 300 28 0 240 320 744 36 272 0 654 0 0
5+ Unit, Value 68,489 3,150 0 28,500 25,921 122,860 3,795 27,300 0 108,028 0 0

2.4.1. New Authorized Residential Construction.. goto topics
Annual
Units in Structure201520162017201820192020
Single Family, Buildings 4,986 6,156 6,060 7,351 5,295 5,317
Single Family, Units 4,986 6,156 6,060 7,351 5,295 5,317
Single Family, Value 800,458 1,659,647 2,092,792 1,968,475 1,568,563 1,791,957
2 Unit, Buildings 47 105 85 83 107 136
2 Unit, Units 94 210 170 166 214 272
2 Unit, Value 18,684 35,573 29,977 23,182 41,991 52,612
3-4 Unit, Buildings 15 35 36 3 2 6
3-4 Unit, Units 46 125 108 11 7 24
3-4 Unit, Value 5,301 16,442 19,520 1,383 833 5,067
5+ Unit, Buildings 146 178 75 157 92 138
5+ Unit, Units 4,480 5,461 2,299 6,229 5,075 6,583
5+ Unit, Value 499,729 663,150 309,370 721,711 692,766 869,203


2.4.2. Housing Characteristics .. goto topics
.. 2020 and 2025 values available in premium edition.
HOUSING CHARACTERISTICS (DP4) ItemCode ACS 2019
5-year
 Percent 2020
Estimate		 2020
Percent		 2025
Projection		 2025
Percent
HOUSING OCCUPANCY        
.Total housing units H001 535,981    
..Occupied housing units H002 461,705 86.1    
..Vacant housing units H003 74,276 13.9    
       
..Homeowner vacancy rate H004 3.6    
..Rental vacancy rate H005 10.0    
       
UNITS IN STRUCTURE        
.Total housing units H006 535,981    
..1-unit, detached H007 299,677 55.9    
..1-unit, attached H008 36,539 6.8    
..2 units H009 7,632 1.4    
..3 or 4 units H010 21,302 4.0    
..5 to 9 units H011 34,597 6.5    
..10 to 19 units H012 48,373 9.0    
..20 or more units H013 67,574 12.6    
..Mobile home H014 20,031 3.7    
..Boat, RV, van, etc. H015 256 0.0    
       
YEAR STRUCTURE BUILT        
.Total housing units H016 535,981    
..Built 2014 or later H017 27,255 5.1    
..Built 2010 to 2013 H018 22,475 4.2    
..Built 2000 to 2009 H019 119,454 22.3    
..Built 1990 to 1999 H020 106,931 20.0    
..Built 1980 to 1989 H021 104,004 19.4    
..Built 1970 to 1979 H022 66,059 12.3    
..Built 1960 to 1969 H023 37,526 7.0    
..Built 1950 to 1959 H024 36,301 6.8    
..Built 1940 to 1949 H025 7,822 1.5    
..Built 1939 or earlier H026 8,154 1.5    
       
ROOMS        
.Total housing units H027 535,981    
..1 room H028 11,034 2.1    
..2 rooms H029 13,413 2.5    
..3 rooms H030 50,175 9.4    
..4 rooms H031 93,742 17.5    
..5 rooms H032 108,009 20.2    
..6 rooms H033 101,986 19.0    
..7 rooms H034 66,396 12.4    
..8 rooms H035 43,904 8.2    
..9 rooms or more H036 47,322 8.8    
..Median rooms H037 5.4    
       
BEDROOMS        
.Total housing units H038 535,981    
..No bedroom H039 11,895 2.2    
..1 bedroom H040 59,098 11.0    
..2 bedrooms H041 135,426 25.3    
..3 bedrooms H042 199,905 37.3    
..4 bedrooms H043 104,339 19.5    
..5 or more bedrooms H044 25,318 4.7    
       
HOUSING TENURE        
.Occupied housing units H045 461,705    
..Owner-occupied H046 255,793 55.4    
..Renter-occupied H047 205,912 44.6    
       
..Average household size of owner-occupied unit H048 2.9    
..Average household size of renter-occupied unit H049 2.7    
       
YEAR HOUSEHOLDER MOVED INTO UNIT        
.Occupied housing units H050 461,705    
..Moved in 2017 or later H051 61,570 13.3    
..Moved in 2015 to 2016 H052 98,777 21.4    
..Moved in 2010 to 2014 H053 130,668 28.3    
..Moved in 2000 to 2009 H054 96,595 20.9    
..Moved in 1990 to 1999 H055 43,773 9.5    
..Moved in 1989 and earlier H056 30,322 6.6    
       
VEHICLES AVAILABLE        
.Occupied housing units H057 461,705    
..No vehicles available H058 26,237 5.7    
..1 vehicle available H059 169,742 36.8    
..2 vehicles available H060 186,093 40.3    
..3 or more vehicles available H061 79,633 17.2    
       
HOUSE HEATING FUEL        
.Occupied housing units H062 461,705    
..Utility gas H063 19,273 4.2    
..Bottled, tank, or LP gas H064 2,648 0.6    
..Electricity H065 432,189 93.6    
..Fuel oil, kerosene, etc. H066 782 0.2    
..Coal or coke H067 15 0.0    
..Wood H068 288 0.1    
..Solar energy H069 1,071 0.2    
..Other fuel H070 239 0.1    
..No fuel used H071 5,200 1.1    
       
SELECTED CHARACTERISTICS        
.Occupied housing units H072 461,705    
..Lacking complete plumbing facilities H073 1,037 0.2    
..Lacking complete kitchen facilities H074 2,454 0.5    
..No telephone service available H075 9,172 2.0    
       
OCCUPANTS PER ROOM        
.Occupied housing units H076 461,705    
..1.00 or less H077 446,329 96.7    
..1.01 to 1.50 H078 10,441 2.3    
..1.51 or more H079 4,935 1.1    
       
VALUE        
.Owner-occupied units H080 255,793    
..Less than $50,000 H081 12,915 5.0    
..$50,000 to $99,999 H082 20,751 8.1    
..$100,000 to $149,999 H083 28,360 11.1    
..$150,000 to $199,999 H084 38,388 15.0    
..$200,000 to $299,999 H085 71,138 27.8    
..$300,000 to $499,999 H086 57,951 22.7    
..$500,000 to $999,999 H087 19,774 7.7    
..$1,000,000 or more H088 6,516 2.5    
..Median (dollars) H089 235,800    
       
MORTGAGE STATUS        
.Owner-occupied units H090 255,793    
..Housing units with a mortgage H091 176,705 69.1    
..Housing units without a mortgage H092 79,088 30.9    
       
SELECTED MONTHLY OWNER COSTS (SMOC)        
.Housing units with a mortgage H093 176,705    
..Less than $500 H094 1,529 0.9    
..$500 to $999 H095 25,245 14.3    
..$1,000 to $1,499 H096 54,733 31.0    
..$1,500 to $1,999 H097 43,862 24.8    
..$2,000 to $2,499 H098 22,475 12.7    
..$2,500 to $2,999 H099 11,905 6.7    
..$3,000 or more H100 16,956 9.6    
..Median (dollars) H101 1,567    
       
.Housing units without a mortgage H102 79,088    
..Less than $250 H103 7,227 9.1    
..$250 to $399 H104 16,544 20.9    
..$400 to $599 H105 24,620 31.1    
..$600 to $799 H106 14,657 18.5    
..$800 to $999 H107 8,036 10.2    
..$1,000 or more H108 8,004 10.1    
..Median (dollars) H109 524    
       
SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI)        
.Housing units with a mortgage (excluding units where SMOCAPI cannot be computed) H110 175,062    
..Less than 20.0 percent H111 74,978 42.8    
..20.0 to 24.9 percent H112 27,228 15.6    
..25.0 to 29.9 percent H113 18,957 10.8    
..30.0 to 34.9 percent H114 12,938 7.4    
..35.0 percent or more H115 40,961 23.4    
       
..Not computed H116 1,643    
       
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed) H117 77,733    
..Less than 10.0 percent H118 35,446 45.6    
..10.0 to 14.9 percent H119 14,647 18.8    
..15.0 to 19.9 percent H120 7,987 10.3    
..20.0 to 24.9 percent H121 4,784 6.2    
..25.0 to 29.9 percent H122 3,367 4.3    
..30.0 to 34.9 percent H123 1,848 2.4    
..35.0 percent or more H124 9,654 12.4    
       
..Not computed H125 1,355    
       
GROSS RENT        
.Occupied units paying rent H126 200,901    
..Less than $500 H127 5,445 2.7    
..$500 to $999 H128 50,754 25.3    
..$1,000 to $1,499 H129 92,578 46.1    
..$1,500 to $1,999 H130 38,987 19.4    
..$2,000 to $2,499 H131 9,657 4.8    
..$2,500 to $2,999 H132 2,345 1.2    
..$3,000 or more H133 1,135 0.6    
..Median (dollars) H134 1,215    
       
..No rent paid H135 5,011    
       
GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI)        
.Occupied units paying rent (excluding units where GRAPI cannot be computed) H136 195,686    
..Less than 15.0 percent H137 16,226 8.3    
..15.0 to 19.9 percent H138 19,785 10.1    
..20.0 to 24.9 percent H139 26,805 13.7    
..25.0 to 29.9 percent H140 23,016 11.8    
..30.0 to 34.9 percent H141 19,267 9.8    
..35.0 percent or more H142 90,587 46.3    
       
..Not computed H143 10,226    


3.1 Industry by Sector Characteristics .. goto topics
Establishments, Employment, Wages QCEW -- 2021Q2
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 49,670 100.0 791,436 100.0 11,430,787,699 100.0 1,111
Total, Federal 10 1 85 0.2 12,610 1.6 290,012,607 2.5 1,769
Total, State 10 2 82 0.2 16,274 2.1 215,191,264 1.9 1,017
Total, Local 10 3 49 0.1 45,684 5.8 626,895,594 5.5 1,056
Total, Private 10 5 49,454 99.6 716,868 90.6 10,298,688,234 90.1 1,105
Agriculture, forestry, fishing and hunting 11 2 1 0.0 0 0.0 0 0.0 0
Agriculture, forestry, fishing and hunting 11 5 151 0.3 2,794 0.4 25,318,987 0.2 697
Crop production 111 5 107 0.2 2,490 0.3 22,456,049 0.2 694
Animal production 112 5 10 0.0 63 0.0 682,467 0.0 833
Forestry and logging 113 5 2 0.0 0 0.0 0 0.0 0
Fishing, hunting and trapping 114 5 3 0.0 0 0.0 0 0.0 0
Agriculture and forestry support activities 115 2 1 0.0 0 0.0 0 0.0 0
Agriculture and forestry support activities 115 5 29 0.1 234 0.0 2,132,909 0.0 702
Mining 21 5 11 0.0 33 0.0 343,041 0.0 808
Mining, except oil and gas 212 5 5 0.0 0 0.0 0 0.0 0
Support activities for mining 213 5 6 0.0 0 0.0 0 0.0 0
Utilities 22 3 3 0.0 0 0.0 0 0.0 0
Utilities 22 5 47 0.1 577 0.1 11,395,346 0.1 1,519
Utilities 221 3 3 0.0 0 0.0 0 0.0 0
Utilities 221 5 47 0.1 577 0.1 11,395,346 0.1 1,519
Construction 23 2 1 0.0 0 0.0 0 0.0 0
Construction 23 5 4,845 9.8 42,629 5.4 660,153,001 5.8 1,191
Construction of buildings 236 5 1,484 3.0 10,230 1.3 211,689,054 1.9 1,592
Heavy and civil engineering construction 237 2 1 0.0 0 0.0 0 0.0 0
Heavy and civil engineering construction 237 5 180 0.4 4,137 0.5 68,252,078 0.6 1,269
Specialty trade contractors 238 5 3,181 6.4 28,262 3.6 380,211,869 3.3 1,035
Manufacturing 31-33 5 1,201 2.4 34,909 4.4 663,652,930 5.8 1,462
Food manufacturing 311 5 102 0.2 3,118 0.4 40,073,595 0.4 989
Beverage and tobacco product manufacturing 312 5 29 0.1 1,075 0.1 8,720,738 0.1 624
Textile mills 313 5 7 0.0 41 0.0 623,130 0.0 1,169
Textile product mills 314 5 25 0.1 272 0.0 4,135,679 0.0 1,168
Apparel manufacturing 315 5 19 0.0 69 0.0 845,562 0.0 938
Leather and allied product manufacturing 316 5 4 0.0 0 0.0 0 0.0 0
Wood product manufacturing 321 5 26 0.1 395 0.0 5,102,813 0.0 995
Paper manufacturing 322 5 11 0.0 436 0.1 7,013,067 0.1 1,238
Printing and related support activities 323 5 124 0.2 1,466 0.2 17,328,043 0.2 909
Petroleum and coal products manufacturing 324 5 6 0.0 0 0.0 0 0.0 0
Chemical manufacturing 325 5 75 0.2 1,928 0.2 30,324,468 0.3 1,210
Plastics and rubber products manufacturing 326 5 40 0.1 1,678 0.2 27,519,010 0.2 1,262
Nonmetallic mineral product manufacturing 327 5 83 0.2 2,108 0.3 32,465,443 0.3 1,185
Primary metal manufacturing 331 5 13 0.0 146 0.0 1,538,512 0.0 811
Fabricated metal product manufacturing 332 5 147 0.3 2,105 0.3 27,116,291 0.2 991
Machinery manufacturing 333 5 85 0.2 5,165 0.7 124,152,366 1.1 1,849
Computer and electronic product manufacturing 334 5 115 0.2 3,098 0.4 84,125,370 0.7 2,089
Electrical equipment and appliance manufacturing 335 5 33 0.1 379 0.0 9,194,531 0.1 1,868
Transportation equipment manufacturing 336 5 50 0.1 9,251 1.2 215,980,420 1.9 1,796
Furniture and related product manufacturing 337 5 65 0.1 903 0.1 10,147,973 0.1 865
Miscellaneous manufacturing 339 5 142 0.3 1,235 0.2 16,615,040 0.1 1,035
Wholesale trade 42 5 2,232 4.5 29,711 3.8 529,123,918 4.6 1,370
Merchant wholesalers, durable goods 423 5 1,306 2.6 15,143 1.9 290,872,973 2.5 1,478
Merchant wholesalers, nondurable goods 424 5 624 1.3 12,385 1.6 204,076,102 1.8 1,268
Electronic markets and agents and brokers 425 5 302 0.6 2,183 0.3 34,174,843 0.3 1,204
Retail trade 44-45 1 2 0.0 94 0.0 560,381 0.0 460
Retail trade 44-45 5 5,536 11.1 79,293 10.0 779,351,301 6.8 756
Motor vehicle and parts dealers 441 5 722 1.5 10,325 1.3 197,171,506 1.7 1,469
Furniture and home furnishings stores 442 5 223 0.4 2,557 0.3 26,795,582 0.2 806
Electronics and appliance stores 443 5 256 0.5 2,812 0.4 41,025,741 0.4 1,122
Building material and garden supply stores 444 5 266 0.5 5,249 0.7 49,428,564 0.4 724
Food and beverage stores 445 5 580 1.2 13,503 1.7 93,631,406 0.8 533
Health and personal care stores 446 5 635 1.3 6,254 0.8 70,582,782 0.6 868
Gasoline stations 447 5 365 0.7 2,444 0.3 14,218,167 0.1 447
Clothing and clothing accessories stores 448 5 848 1.7 10,137 1.3 65,576,191 0.6 498
Sporting goods, hobby, book and music stores 451 5 245 0.5 2,662 0.3 17,486,369 0.2 505
General merchandise stores 452 1 2 0.0 94 0.0 560,381 0.0 460
General merchandise stores 452 5 301 0.6 14,527 1.8 109,308,783 1.0 579
Miscellaneous store retailers 453 5 615 1.2 4,557 0.6 37,175,453 0.3 628
Nonstore retailers 454 5 480 1.0 4,267 0.5 56,950,757 0.5 1,027
Transportation and warehousing 48-49 1 40 0.1 2,642 0.3 47,040,071 0.4 1,370
Transportation and warehousing 48-49 3 3 0.0 0 0.0 0 0.0 0
Transportation and warehousing 48-49 5 1,569 3.2 40,095 5.1 540,904,521 4.7 1,038
Air transportation 481 5 34 0.1 8,401 1.1 188,774,383 1.7 1,728
Rail transportation 482 5 2 0.0 0 0.0 0 0.0 0
Water transportation 483 5 9 0.0 0 0.0 0 0.0 0
Truck transportation 484 5 807 1.6 6,499 0.8 86,410,186 0.8 1,023
Transit and ground passenger transportation 485 3 1 0.0 0 0.0 0 0.0 0
Transit and ground passenger transportation 485 5 172 0.3 1,574 0.2 16,513,695 0.1 807
Pipeline transportation 486 5 4 0.0 19 0.0 480,028 0.0 1,978
Scenic and sightseeing transportation 487 5 15 0.0 106 0.0 1,398,828 0.0 1,012
Support activities for transportation 488 3 2 0.0 0 0.0 0 0.0 0
Support activities for transportation 488 5 293 0.6 4,948 0.6 52,259,952 0.5 813
Postal service 491 1 40 0.1 2,642 0.3 47,040,071 0.4 1,370
Postal service 491 5 2 0.0 0 0.0 0 0.0 0
Couriers and messengers 492 5 150 0.3 6,436 0.8 78,048,533 0.7 933
Warehousing and storage 493 5 81 0.2 11,661 1.5 112,712,454 1.0 744
Information 51 3 1 0.0 0 0.0 0 0.0 0
Information 51 5 1,094 2.2 14,416 1.8 320,808,568 2.8 1,712
Publishing industries, except Internet 511 5 361 0.7 4,041 0.5 126,797,616 1.1 2,414
Motion picture and sound recording industries 512 5 227 0.5 1,384 0.2 18,078,297 0.2 1,005
Broadcasting, except Internet 515 5 35 0.1 1,864 0.2 41,342,172 0.4 1,706
Telecommunications 517 5 190 0.4 4,610 0.6 80,714,678 0.7 1,347
ISPs, search portals, and data processing 518 5 151 0.3 1,758 0.2 39,122,469 0.3 1,712
Other information services 519 3 1 0.0 0 0.0 0 0.0 0
Other information services 519 5 130 0.3 760 0.1 14,753,336 0.1 1,494
Finance and insurance 52 3 1 0.0 0 0.0 0 0.0 0
Finance and insurance 52 5 2,454 4.9 28,168 3.6 689,419,376 6.0 1,883
Credit intermediation and related activities 522 3 1 0.0 0 0.0 0 0.0 0
Credit intermediation and related activities 522 5 793 1.6 12,601 1.6 297,445,249 2.6 1,816
Securities, commodity contracts, investments 523 5 611 1.2 3,635 0.5 140,958,247 1.2 2,983
Insurance carriers and related activities 524 5 1,005 2.0 11,679 1.5 241,866,580 2.1 1,593
Funds, trusts, and other financial vehicles 525 5 45 0.1 254 0.0 9,149,300 0.1 2,771
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 3,355 6.8 20,119 2.5 312,770,175 2.7 1,196
Real estate 531 3 2 0.0 0 0.0 0 0.0 0
Real estate 531 5 2,865 5.8 14,327 1.8 216,019,586 1.9 1,160
Rental and leasing services 532 5 475 1.0 5,710 0.7 94,757,858 0.8 1,277
Lessors of nonfinancial intangible assets 533 5 15 0.0 82 0.0 1,992,731 0.0 1,869
Professional and technical services 54 1 1 0.0 10 0.0 255,773 0.0 2,035
Professional and technical services 54 3 1 0.0 0 0.0 0 0.0 0
Professional and technical services 54 5 8,002 16.1 60,513 7.6 1,322,252,903 11.6 1,681
Professional and technical services 541 1 1 0.0 10 0.0 255,773 0.0 2,035
Professional and technical services 541 3 1 0.0 0 0.0 0 0.0 0
Professional and technical services 541 5 8,002 16.1 60,513 7.6 1,322,252,903 11.6 1,681
Management of companies and enterprises 55 5 399 0.8 14,733 1.9 417,300,640 3.7 2,179
Management of companies and enterprises 551 5 399 0.8 14,733 1.9 417,300,640 3.7 2,179
Administrative and waste services 56 3 1 0.0 0 0.0 0 0.0 0
Administrative and waste services 56 5 4,302 8.7 71,517 9.0 868,712,316 7.6 934
Administrative and support services 561 3 1 0.0 0 0.0 0 0.0 0
Administrative and support services 561 5 4,180 8.4 69,341 8.8 831,710,389 7.3 923
Waste management and remediation services 562 5 122 0.2 2,176 0.3 37,001,927 0.3 1,308
Educational services 61 2 6 0.0 0 0.0 0 0.0 0
Educational services 61 3 2 0.0 0 0.0 0 0.0 0
Educational services 61 5 742 1.5 14,351 1.8 172,784,000 1.5 926
Educational services 611 2 6 0.0 0 0.0 0 0.0 0
Educational services 611 3 2 0.0 0 0.0 0 0.0 0
Educational services 611 5 742 1.5 14,351 1.8 172,784,000 1.5 926
Health care and social assistance 62 1 1 0.0 3,484 0.4 86,780,391 0.8 1,916
Health care and social assistance 62 2 1 0.0 0 0.0 0 0.0 0
Health care and social assistance 62 5 4,514 9.1 82,343 10.4 1,367,819,025 12.0 1,278
Ambulatory health care services 621 5 3,074 6.2 35,689 4.5 708,248,587 6.2 1,527
Hospitals 622 1 1 0.0 3,484 0.4 86,780,391 0.8 1,916
Hospitals 622 5 38 0.1 27,377 3.5 497,232,134 4.3 1,397
Nursing and residential care facilities 623 5 215 0.4 8,570 1.1 80,863,865 0.7 726
Social assistance 624 2 1 0.0 0 0.0 0 0.0 0
Social assistance 624 5 1,187 2.4 10,707 1.4 81,474,439 0.7 585
Arts, entertainment, and recreation 71 2 1 0.0 0 0.0 0 0.0 0
Arts, entertainment, and recreation 71 5 1,002 2.0 58,386 7.4 624,807,099 5.5 823
Performing arts and spectator sports 711 5 531 1.1 2,949 0.4 63,829,713 0.6 1,665
Museums, historical sites, zoos, and parks 712 2 1 0.0 0 0.0 0 0.0 0
Museums, historical sites, zoos, and parks 712 5 31 0.1 544 0.1 5,870,694 0.1 830
Amusements, gambling, and recreation 713 5 440 0.9 54,893 6.9 555,106,692 4.9 778
Accommodation and food services 72 1 1 0.0 260 0.0 2,746,844 0.0 812
Accommodation and food services 72 5 3,796 7.6 101,938 12.9 775,508,232 6.8 585
Accommodation 721 1 1 0.0 260 0.0 2,746,844 0.0 812
Accommodation 721 5 400 0.8 36,465 4.6 315,403,843 2.8 665
Food services and drinking places 722 5 3,396 6.8 65,474 8.3 460,104,389 4.0 541
Other services, except public administration 81 3 2 0.0 0 0.0 0 0.0 0
Other services, except public administration 81 5 3,346 6.7 20,176 2.5 214,390,409 1.9 817
Repair and maintenance 811 5 1,040 2.1 7,636 1.0 84,301,837 0.7 849
Personal and laundry services 812 5 1,332 2.7 7,373 0.9 67,452,969 0.6 704
Membership associations and organizations 813 3 2 0.0 0 0.0 0 0.0 0
Membership associations and organizations 813 5 492 1.0 4,643 0.6 58,172,908 0.5 964
Private households 814 5 482 1.0 523 0.1 4,462,695 0.0 656
Public administration 92 1 40 0.1 6,121 0.8 152,629,147 1.3 1,918
Public administration 92 2 72 0.1 5,072 0.6 54,477,731 0.5 826
Public administration 92 3 33 0.1 18,271 2.3 258,035,612 2.3 1,086
Executive, legislative and general government 921 1 3 0.0 184 0.0 4,973,689 0.0 2,076
Executive, legislative and general government 921 2 7 0.0 0 0.0 0 0.0 0
Executive, legislative and general government 921 3 18 0.0 15,114 1.9 217,674,322 1.9 1,108
Justice, public order, and safety activities 922 1 11 0.0 1,163 0.1 32,195,485 0.3 2,129
Justice, public order, and safety activities 922 2 15 0.0 2,113 0.3 24,786,514 0.2 902
Justice, public order, and safety activities 922 3 3 0.0 0 0.0 0 0.0 0
Administration of human resource programs 923 1 2 0.0 243 0.0 5,677,760 0.0 1,800
Administration of human resource programs 923 2 19 0.0 2,096 0.3 18,934,998 0.2 695
Administration of environmental programs 924 1 1 0.0 27 0.0 518,517 0.0 1,459
Administration of environmental programs 924 2 4 0.0 135 0.0 1,406,900 0.0 804
Administration of environmental programs 924 3 4 0.0 69 0.0 1,095,485 0.0 1,221
Community and housing program administration 925 2 1 0.0 0 0.0 0 0.0 0
Community and housing program administration 925 3 8 0.0 0 0.0 0 0.0 0
Administration of economic programs 926 1 18 0.0 1,957 0.2 39,098,707 0.3 1,537
Administration of economic programs 926 2 26 0.1 597 0.1 7,858,239 0.1 1,013
National security and international affairs 928 1 5 0.0 2,546 0.3 70,164,989 0.6 2,120
Unclassified establishments 99 5 856 1.7 168 0.0 1,872,446 0.0 856
Unclassified establishments 999 5 856 1.7 168 0.0 1,872,446 0.0 856

4.1 Census Tract Demographic-Economic Characteristics .. goto topics
There are 207 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 D:\dede\api_items_acs_base.dbf has been written to your computer and used to develop the following table. See about census tracts .. additional tract data resources
GEOID TOTPOP MALEPOP FEMALEPOP WHITE1 BLACK1 AIAN1 ASIAN1 NHOPI1 OTHERRACE1 TWOUPRACES HISPANIC POP65UP POPHSHLDS HOUSEHOLDS FAMILIES POP25UP HSGRADM HSGRADF TOTHSGUNTS OWNOCCUNTS RNTOCCUNTS VACUNITS MEDHHINC MEDFAMINC MEDHSGVAL MEDRENT
12095010200 4,935 2,966 1,969 4,414 127 13 211 0 79 91 884 682 4,935 2,838 986 4,232 422 239 2,838 1,070 1,768 668 87,870 117,917 351,500 1,409
12095010300 2,396 1,047 1,349 2,053 131 5 56 0 37 114 431 697 2,279 1,539 225 2,128 185 236 1,539 311 1,228 267 36,930 116,932 279,400 1,029
12095010400 1,138 555 583 254 852 0 0 0 6 26 178 165 1,127 461 262 718 130 104 461 50 411 113 20,331 23,065 111,800 684
12095010500 1,218 553 665 18 1,200 0 0 0 0 0 15 110 1,218 493 259 810 138 278 493 7 486 148 22,324 26,047 -6 696
12095010802 3,294 1,769 1,525 2,789 134 0 302 0 24 45 569 197 3,294 1,482 716 2,691 145 183 1,482 854 628 221 72,845 79,034 270,700 1,380
12095011000 2,912 1,462 1,450 2,450 252 0 104 0 65 41 633 254 2,912 1,584 538 2,422 154 242 1,584 603 981 145 52,353 43,929 251,600 1,077
12095011100 3,683 1,964 1,719 3,119 418 0 40 6 42 58 894 425 3,674 1,555 592 2,973 404 306 1,555 672 883 139 61,743 75,761 266,900 1,182
12095011200 3,305 1,635 1,670 2,848 336 4 34 0 48 35 397 522 3,293 1,486 833 2,557 237 257 1,486 1,162 324 115 80,607 90,547 277,200 1,500
12095011300 5,472 2,377 3,095 4,743 160 0 118 0 255 196 538 610 5,402 2,142 1,298 3,911 272 212 2,142 1,297 845 150 83,529 118,750 373,000 1,290
12095011600 4,838 2,443 2,395 1,162 3,160 0 52 0 320 144 778 641 4,762 1,614 892 3,155 633 517 1,614 579 1,035 246 27,391 34,032 159,700 863
12095011701 3,749 1,389 2,360 288 3,344 0 2 0 50 65 124 746 3,596 1,352 731 2,677 409 691 1,352 678 674 334 43,478 50,125 137,500 877
12095011702 2,834 1,234 1,600 123 2,648 0 0 0 0 63 97 514 2,834 1,157 606 1,990 322 353 1,157 472 685 333 28,377 31,207 108,200 785
12095012000 8,768 4,470 4,298 892 6,612 5 141 0 716 402 934 677 8,754 2,479 1,803 4,984 955 785 2,479 1,065 1,414 149 30,555 30,588 110,300 1,022
12095012100 7,871 3,934 3,937 843 6,138 13 62 0 498 317 1,088 819 7,871 2,448 1,517 4,265 718 861 2,448 805 1,643 145 36,199 41,988 79,100 920
12095012201 6,399 3,061 3,338 1,171 4,927 43 75 0 73 110 574 827 6,368 1,689 1,374 3,739 768 672 1,689 869 820 91 32,997 33,871 154,000 982
12095012202 6,011 2,599 3,412 939 4,450 0 205 0 309 108 636 693 5,998 1,683 1,170 3,386 547 673 1,683 869 814 181 39,515 39,079 131,900 1,104
12095012303 9,417 4,626 4,791 1,114 6,169 0 570 0 1,211 353 359 1,082 9,417 2,462 1,973 5,773 958 781 2,462 1,909 553 91 62,831 64,139 182,100 1,498
12095012304 7,536 3,481 4,055 1,204 5,858 207 0 0 121 146 1,272 690 7,527 2,387 1,947 4,527 637 500 2,387 1,264 1,123 75 43,018 41,087 153,000 996
12095012305 8,139 4,165 3,974 1,834 4,738 0 212 0 994 361 2,416 626 8,139 2,602 1,869 4,888 783 575 2,602 1,360 1,242 281 40,540 43,141 124,600 941
12095012306 3,825 1,928 1,897 864 2,466 7 41 0 245 202 679 341 3,794 1,139 842 2,456 433 370 1,139 765 374 63 44,980 45,833 119,200 1,282
12095012307 7,086 2,902 4,184 1,360 4,541 0 131 0 738 316 1,032 866 7,066 2,052 1,630 4,416 547 938 2,052 1,196 856 151 39,756 48,049 120,400 1,133
12095012401 10,224 4,806 5,418 2,083 7,252 0 34 26 633 196 1,520 658 10,211 3,285 2,179 6,092 1,002 966 3,285 1,134 2,151 486 41,582 39,256 152,800 1,050
12095012402 6,355 2,814 3,541 2,279 3,327 0 91 0 529 129 2,270 653 6,250 2,633 1,390 4,534 1,025 437 2,633 365 2,268 212 31,363 31,582 87,100 955
12095012403 6,007 2,989 3,018 1,274 3,719 0 307 0 606 101 1,240 586 5,956 1,845 1,288 3,653 627 752 1,845 832 1,013 131 39,432 47,682 150,600 1,033
12095012500 2,314 1,332 982 1,990 137 0 32 0 28 127 279 448 2,234 1,001 565 1,864 349 178 1,001 585 416 129 58,920 90,057 286,200 730
12095012600 5,142 2,342 2,800 4,565 181 72 79 0 67 178 535 715 5,130 2,132 1,373 3,990 204 533 2,132 1,594 538 272 98,571 126,483 382,000 1,096
12095012701 4,799 2,137 2,662 3,993 216 0 158 0 285 147 671 396 4,493 2,129 993 3,330 200 99 2,129 1,363 766 399 99,417 131,658 299,000 1,361
12095012800 3,651 1,742 1,909 3,267 0 0 203 0 39 142 617 632 3,651 1,475 1,030 2,668 111 120 1,475 1,321 154 212 109,835 146,250 444,100 1,138
12095012900 3,014 1,586 1,428 2,366 119 0 197 0 84 248 319 281 3,014 1,411 640 2,585 187 249 1,411 892 519 329 83,917 90,156 272,200 1,479
12095013201 4,778 2,563 2,215 3,527 292 0 108 0 559 292 3,369 696 4,772 1,519 1,129 3,569 883 492 1,519 939 580 140 48,750 48,533 118,100 1,161
12095013202 6,513 3,259 3,254 4,470 1,028 0 307 76 533 99 4,213 664 6,495 2,077 1,398 4,431 881 843 2,077 759 1,318 169 41,563 36,591 168,000 1,072
12095013300 7,009 3,303 3,706 5,877 385 19 94 17 140 477 4,110 1,166 6,903 2,560 1,811 5,355 527 907 2,560 1,184 1,376 364 43,149 44,552 230,400 966
12095013402 3,543 1,820 1,723 2,608 358 0 121 12 157 287 2,059 477 3,543 1,061 798 2,424 379 420 1,061 609 452 134 55,919 49,925 154,700 1,154
12095013403 4,103 2,217 1,886 3,029 662 21 20 0 298 73 2,521 534 4,103 1,184 840 2,660 491 503 1,184 460 724 113 44,226 46,625 150,500 1,132
12095013405 2,378 1,078 1,300 1,577 335 25 42 0 281 118 1,418 192 2,378 854 528 1,499 270 380 854 316 538 67 32,206 31,667 104,600 1,137
12095013406 3,821 1,854 1,967 2,794 424 0 30 0 497 76 2,512 572 3,821 1,295 803 2,715 432 588 1,295 545 750 202 49,450 47,240 126,600 1,144
12095013503 2,655 1,336 1,319 1,683 546 0 9 0 266 151 1,683 110 2,655 928 571 1,582 200 248 928 0 928 190 37,500 35,613 -6 1,156
12095013505 4,904 2,616 2,288 4,357 312 0 129 9 87 10 3,061 994 4,904 1,955 1,082 3,557 493 612 1,955 920 1,035 219 46,563 48,433 155,400 1,055
12095013507 6,915 3,312 3,603 4,605 1,008 0 315 0 831 156 3,856 424 6,915 2,951 1,453 4,787 518 624 2,951 253 2,698 479 46,380 44,215 152,600 1,324
12095013508 2,768 1,347 1,421 2,161 329 0 17 0 191 70 2,238 139 2,768 1,136 574 1,815 327 248 1,136 43 1,093 178 36,000 27,382 79,300 1,040
12095013509 1,303 562 741 1,060 93 12 15 0 75 48 593 329 1,303 621 305 1,049 82 117 621 338 283 388 50,250 57,132 107,000 1,079
12095013510 2,375 1,390 985 1,889 280 0 42 0 60 104 1,391 182 2,375 1,041 466 1,685 452 276 1,041 94 947 116 38,250 38,667 65,000 1,124
12095013511 5,313 2,743 2,570 4,323 111 10 198 0 172 499 3,467 878 5,313 1,845 1,022 3,888 748 829 1,845 1,335 510 243 33,090 39,510 37,100 1,078
12095013512 6,233 2,758 3,475 4,035 1,095 136 335 0 342 290 3,715 469 6,233 2,202 1,551 3,570 598 619 2,202 694 1,508 285 31,871 31,535 152,200 1,106
12095013603 5,574 2,221 3,353 4,637 418 0 234 0 185 100 2,665 777 5,574 2,246 1,030 4,193 497 798 2,246 942 1,304 223 44,872 43,921 156,800 1,177
12095013604 6,011 3,288 2,723 4,809 553 0 22 0 520 107 2,771 557 6,011 2,700 1,232 4,619 780 285 2,700 1,305 1,395 336 48,165 49,146 185,000 1,195
12095013605 3,858 1,886 1,972 2,982 164 0 230 0 340 142 1,742 380 3,858 1,370 946 2,402 334 347 1,370 497 873 216 36,850 54,592 269,600 1,135
12095013606 4,048 1,901 2,147 2,747 375 0 200 0 499 227 2,512 349 4,048 1,312 945 2,805 658 447 1,312 639 673 61 34,423 32,150 145,200 1,087
12095013607 5,148 2,411 2,737 4,071 328 0 237 0 247 265 1,562 774 5,148 1,954 1,379 3,813 532 573 1,954 1,451 503 161 65,000 68,783 201,200 1,205
12095013701 5,178 2,417 2,761 3,642 553 0 349 0 470 164 1,952 495 5,150 2,129 1,041 3,521 633 511 2,129 565 1,564 221 42,880 48,417 209,400 1,090
12095013702 5,710 3,196 2,514 4,477 722 0 88 0 267 156 1,975 551 5,702 2,233 1,150 3,825 610 594 2,233 916 1,317 164 43,705 60,294 227,700 982
12095013801 2,635 1,455 1,180 2,374 189 0 4 7 16 45 708 357 2,350 917 507 1,884 282 219 917 448 469 75 59,148 59,485 219,000 1,160
12095013802 2,825 1,263 1,562 2,773 23 16 12 0 0 1 474 463 2,804 1,093 795 2,247 298 321 1,093 828 265 86 73,679 81,821 248,500 1,438
12095013803 2,747 1,283 1,464 2,169 203 0 41 0 295 39 484 497 2,747 1,024 697 2,185 285 238 1,024 672 352 101 74,333 81,954 247,200 1,165
12095013900 3,881 1,919 1,962 3,481 244 0 10 0 76 70 651 681 3,875 1,783 923 3,025 263 194 1,783 1,029 754 339 64,196 105,893 273,100 988
12095014000 6,691 3,438 3,253 6,065 84 0 160 0 175 207 1,103 1,353 6,686 2,706 1,947 4,943 328 496 2,706 2,261 445 195 81,786 98,011 319,300 1,087
12095014100 6,851 3,453 3,398 5,653 235 0 149 0 637 177 1,305 1,163 6,851 2,562 1,945 5,238 643 654 2,562 2,136 426 332 82,772 88,046 317,800 1,000
12095014200 9,980 5,025 4,955 6,704 1,833 24 388 0 844 187 6,370 1,040 9,980 3,057 2,337 6,663 1,322 1,187 3,057 1,601 1,456 768 43,125 42,943 159,600 1,087
12095014301 5,268 2,661 2,607 3,063 1,401 0 438 30 136 200 1,648 813 5,206 1,893 1,144 3,969 887 566 1,893 1,128 765 479 44,436 67,786 231,300 1,069
12095014302 5,238 2,723 2,515 2,986 1,198 43 200 0 673 138 3,020 612 5,238 1,669 907 3,615 584 472 1,669 600 1,069 356 42,871 47,589 106,600 950
12095014400 3,430 1,848 1,582 2,466 676 25 71 0 53 139 720 686 3,042 1,188 768 2,798 586 323 1,188 698 490 183 69,938 101,563 234,700 1,252
12095014502 4,896 2,324 2,572 921 3,632 0 9 0 231 103 1,028 332 4,896 1,832 1,089 2,834 630 515 1,832 133 1,699 705 28,370 27,083 57,900 938
12095014503 5,449 3,306 2,143 2,282 2,719 20 24 0 246 158 1,410 401 3,312 1,434 600 3,984 1,187 549 1,434 482 952 510 29,842 28,947 55,900 949
12095014504 6,002 3,233 2,769 3,268 1,458 0 273 0 856 147 1,905 391 4,966 2,240 1,098 4,381 647 467 2,240 386 1,854 857 52,656 59,803 121,600 1,387
12095014601 8,275 3,769 4,506 1,058 6,798 0 115 0 304 0 1,104 396 8,260 2,549 1,938 4,321 578 939 2,549 429 2,120 376 32,824 34,390 96,500 1,008
12095014605 4,199 1,908 2,291 43 4,156 0 0 0 0 0 0 892 4,199 1,427 907 3,099 732 624 1,427 746 681 290 39,356 45,299 75,700 1,002
12095014606 8,008 3,928 4,080 4,553 2,161 0 148 0 858 288 3,558 292 7,900 3,118 1,736 5,492 669 536 3,118 361 2,757 338 34,180 31,648 112,200 1,168
12095014607 6,375 3,039 3,336 3,759 794 0 342 0 1,151 329 2,432 404 6,375 2,781 1,455 4,423 406 236 2,781 1,004 1,777 799 45,721 49,683 122,900 1,144
12095014608 4,566 2,255 2,311 1,108 3,099 43 87 0 143 86 704 626 4,566 1,608 971 2,974 488 382 1,608 515 1,093 183 38,617 41,654 86,500 1,157
12095014609 5,922 2,715 3,207 2,345 2,851 0 30 0 541 155 1,792 392 5,922 2,092 1,116 3,863 420 467 2,092 282 1,810 530 41,326 40,731 92,100 1,191
12095014701 5,546 2,961 2,585 1,376 2,690 9 678 0 547 246 1,312 544 5,515 1,996 1,249 3,666 758 531 1,996 1,060 936 143 36,130 41,994 112,500 967
12095014702 5,715 2,401 3,314 3,028 1,663 87 348 0 376 213 1,585 536 5,715 2,271 1,145 3,869 474 782 2,271 459 1,812 314 41,250 55,298 83,400 1,180
12095014703 2,617 1,240 1,377 1,063 810 0 245 0 292 207 814 69 2,617 1,053 526 1,796 214 115 1,053 80 973 117 50,280 51,250 115,300 1,263
12095014704 15,342 7,165 8,177 10,193 2,126 0 836 0 1,716 471 5,217 596 15,342 5,988 3,535 10,391 952 1,222 5,988 653 5,335 502 55,731 61,597 168,200 1,380
12095014804 7,235 3,285 3,950 4,468 1,590 5 365 0 283 524 1,750 906 7,119 2,551 1,834 4,987 548 626 2,551 1,010 1,541 113 45,367 49,513 290,000 1,277
12095014805 6,275 2,748 3,527 2,283 2,259 0 537 0 491 705 1,576 679 6,269 2,010 1,398 3,928 442 686 2,010 667 1,343 88 44,783 44,640 169,400 1,213
12095014806 4,562 2,193 2,369 3,308 758 0 301 7 67 121 836 570 4,557 1,589 1,211 3,282 270 347 1,589 1,327 262 90 91,194 99,009 278,000 1,492
12095014807 6,857 3,664 3,193 4,210 1,097 12 995 0 162 381 1,560 611 6,810 2,477 1,624 4,800 369 471 2,477 1,502 975 253 76,203 84,412 266,400 1,328
12095014808 12,005 5,899 6,106 8,993 722 22 1,289 0 460 519 1,190 1,216 12,005 3,980 3,275 7,695 194 353 3,980 3,246 734 231 133,767 148,546 471,700 1,667
12095014809 3,240 1,655 1,585 2,951 94 0 152 0 24 19 113 732 3,240 1,310 1,070 2,432 9 83 1,310 1,128 182 134 133,214 148,393 462,900 2,215
12095014810 5,512 2,692 2,820 4,372 355 0 446 6 92 241 814 1,092 5,416 1,811 1,540 4,126 231 396 1,811 1,577 234 231 102,440 119,412 365,900 2,010
12095014811 5,311 2,814 2,497 4,302 165 0 484 0 119 241 663 988 5,311 1,870 1,503 3,929 374 163 1,870 1,579 291 317 104,167 111,908 319,700 2,211
12095014812 5,562 2,832 2,730 3,372 822 30 478 0 658 202 1,912 271 5,562 2,418 1,393 4,082 239 398 2,418 796 1,622 459 35,560 38,565 282,300 1,164
12095014813 3,832 1,793 2,039 2,754 258 0 600 0 133 87 644 808 3,832 1,518 1,037 2,755 173 138 1,518 980 538 614 76,779 82,446 319,600 1,843
12095014904 7,091 3,082 4,009 1,129 5,492 0 55 0 276 139 831 520 7,085 2,192 1,646 4,147 547 776 2,192 428 1,764 142 34,050 37,065 178,500 1,092
12095014906 7,030 3,708 3,322 3,942 1,835 0 417 0 699 137 1,768 1,033 6,923 2,357 1,920 4,977 771 665 2,357 1,708 649 135 64,710 65,756 214,100 1,467
12095014908 8,118 3,709 4,409 813 5,856 39 360 0 600 450 1,087 1,386 8,053 2,274 1,743 5,519 825 997 2,274 1,462 812 55 43,933 45,797 150,300 1,196
12095014909 3,540 1,577 1,963 1,135 1,613 9 394 0 288 101 504 368 3,517 1,000 863 2,185 355 323 1,000 896 104 41 58,900 59,250 189,600 1,587
12095015001 1,890 1,017 873 1,241 199 198 0 0 229 23 1,050 112 1,890 507 452 1,111 196 203 507 289 218 40 37,244 36,705 180,700 898
12095015002 6,727 3,158 3,569 4,565 681 0 55 0 1,071 355 3,459 574 6,727 1,957 1,431 4,070 540 577 1,957 1,184 773 99 57,768 64,152 164,700 1,134
12095015003 7,219 3,702 3,517 4,854 995 108 20 0 1,040 202 2,758 850 7,219 2,174 1,697 4,738 667 885 2,174 1,487 687 87 54,167 66,118 157,100 1,131
12095015004 9,106 4,259 4,847 4,280 2,775 0 1,071 0 421 559 1,643 824 9,106 2,754 2,208 6,673 960 542 2,754 2,226 528 229 80,470 85,357 214,200 1,840
12095015103 6,797 3,379 3,418 4,413 1,469 15 541 0 184 175 1,584 797 6,791 2,615 1,654 5,139 915 708 2,615 1,899 716 182 54,278 67,021 178,600 1,251
12095015104 5,687 2,948 2,739 2,908 1,409 112 163 0 747 348 1,892 697 5,687 2,094 1,349 4,077 584 639 2,094 1,319 775 132 55,400 43,811 141,000 958
12095015105 3,818 1,878 1,940 1,865 1,389 0 37 0 405 122 739 594 3,818 1,235 900 2,535 506 541 1,235 979 256 61 54,958 54,271 191,800 1,371
12095015106 8,502 4,081 4,421 3,444 4,335 0 85 0 322 316 1,447 646 8,473 2,386 1,956 5,122 1,117 855 2,386 1,650 736 183 54,444 56,355 166,300 1,157
12095015201 9,947 4,513 5,434 4,905 3,485 132 598 0 548 279 2,357 613 9,940 3,881 1,961 6,849 713 507 3,881 1,019 2,862 251 61,808 64,875 160,100 1,374
12095015202 6,201 3,116 3,085 3,478 2,012 70 141 0 136 364 1,480 777 5,953 2,365 1,439 4,250 535 780 2,365 1,038 1,327 234 39,132 52,739 163,300 965
12095015300 3,489 1,778 1,711 2,750 306 0 239 16 170 8 435 537 3,268 1,485 701 2,740 363 272 1,485 1,124 361 225 67,650 85,945 236,300 1,182
12095015402 2,145 1,060 1,085 1,838 151 0 16 0 45 95 626 463 2,145 1,069 465 1,905 208 245 1,069 531 538 141 53,958 81,683 291,700 1,303
12095015501 4,419 2,037 2,382 3,700 482 0 95 0 76 66 567 959 4,266 1,989 1,226 3,387 145 330 1,989 1,040 949 655 63,994 90,673 289,300 1,377
12095015601 2,261 1,039 1,222 2,126 32 0 54 0 0 49 171 391 2,261 773 645 1,522 62 101 773 650 123 47 115,313 140,750 457,500 1,229
12095015602 2,148 977 1,171 1,948 57 0 76 0 34 33 287 336 2,148 722 592 1,344 44 61 722 686 36 82 139,615 160,288 437,700 2,479
12095015701 1,892 856 1,036 1,739 12 0 82 0 16 43 215 475 1,892 873 502 1,491 74 139 873 656 217 182 68,295 113,500 414,100 1,600
12095015702 1,980 1,034 946 1,654 43 0 134 0 77 72 283 327 1,980 699 552 1,341 62 92 699 545 154 74 104,917 131,121 330,800 1,702
12095015801 1,840 921 919 1,685 98 0 28 0 11 18 93 424 1,840 738 534 1,417 85 97 738 615 123 52 134,286 187,692 940,300 1,505
12095015802 2,610 1,281 1,329 2,497 24 0 41 0 28 20 211 512 2,589 978 742 1,929 43 93 978 918 60 95 164,643 225,833 821,300 1,662
12095015901 2,774 1,179 1,595 1,689 714 0 124 0 136 111 432 627 2,739 1,274 632 2,111 251 295 1,274 408 866 227 52,697 63,377 299,300 1,366
12095015902 1,727 847 880 1,556 90 0 0 2 54 25 273 478 1,727 993 362 1,495 142 107 993 440 553 165 56,932 83,636 338,100 855
12095016001 2,259 1,033 1,226 1,991 74 5 168 0 21 0 249 435 955 594 270 898 12 52 594 438 156 150 73,750 136,554 472,100 1,278
12095016002 2,544 1,277 1,267 2,342 28 0 88 0 0 86 245 590 2,544 1,037 834 1,970 31 65 1,037 921 116 171 205,625 234,659 848,400 1,875
12095016100 4,445 1,937 2,508 4,315 1 0 70 0 0 59 355 1,262 4,431 2,197 1,110 3,430 89 238 2,197 1,566 631 328 90,536 156,806 587,700 1,536
12095016200 6,644 3,225 3,419 5,491 639 0 186 0 92 236 1,236 1,241 6,553 2,768 1,550 4,709 168 271 2,768 1,817 951 384 68,882 119,871 331,200 1,304
12095016301 6,746 3,252 3,494 5,074 551 55 169 0 542 355 1,365 1,430 6,471 2,743 1,338 4,998 297 782 2,743 963 1,780 377 46,348 62,181 186,900 1,118
12095016302 4,609 2,423 2,186 3,349 592 8 147 0 335 178 1,886 371 4,609 1,732 716 3,096 506 451 1,732 348 1,384 253 33,939 47,727 205,200 1,195
12095016402 3,143 1,698 1,445 1,832 519 5 351 0 397 39 1,579 252 3,111 998 624 2,067 338 420 998 364 634 164 51,377 54,688 161,800 1,307
12095016406 2,423 1,440 983 1,395 540 0 61 32 332 63 771 125 2,423 1,137 463 1,614 190 102 1,137 180 957 169 47,946 53,657 121,300 1,230
12095016407 5,431 2,834 2,597 3,330 771 96 631 0 383 220 1,913 224 5,409 2,172 833 2,858 273 210 2,172 471 1,701 558 35,095 39,267 163,600 1,197
12095016408 2,179 1,231 948 1,675 75 0 227 0 161 41 531 265 2,171 900 475 1,507 143 126 900 430 470 215 57,348 82,750 284,500 1,183
12095016409 3,469 1,457 2,012 2,496 216 0 441 0 83 233 498 629 3,469 1,154 929 2,369 104 291 1,154 1,052 102 90 86,900 101,250 281,200 1,843
12095016410 8,850 4,803 4,047 6,295 849 62 693 0 788 163 4,040 1,003 8,763 3,053 1,954 5,921 728 658 3,053 1,496 1,557 369 50,555 51,868 174,600 1,161
12095016411 3,111 1,576 1,535 2,393 452 0 134 0 90 42 1,080 391 3,111 1,177 692 2,014 210 159 1,177 602 575 274 52,156 75,278 228,900 1,205
12095016412 4,786 2,424 2,362 3,167 307 0 330 0 614 368 1,828 536 4,768 1,499 1,139 3,341 473 386 1,499 1,199 300 292 67,821 70,889 193,600 1,284
12095016503 6,159 3,626 2,533 4,413 299 0 533 0 621 293 1,570 658 6,102 2,205 1,098 3,580 556 225 2,205 1,031 1,174 234 59,458 76,439 234,800 1,263
12095016504 5,857 2,921 2,936 4,057 731 0 295 0 659 115 2,141 635 5,660 1,858 1,208 3,447 406 469 1,858 966 892 134 62,679 72,300 209,400 1,319
12095016505 3,145 1,597 1,548 1,904 317 0 490 0 402 32 967 338 3,145 1,091 610 1,913 256 184 1,091 454 637 139 55,559 68,750 137,200 1,199
12095016507 19,398 9,632 9,766 17,039 1,408 0 490 0 100 361 3,781 709 6,821 2,072 1,569 4,442 449 276 2,072 1,547 525 198 98,750 103,497 251,900 1,791
12095016508 8,336 4,323 4,013 6,058 770 0 409 0 799 300 3,117 506 7,139 2,647 1,187 4,396 611 734 2,647 1,218 1,429 272 44,804 49,561 143,800 1,125
12095016509 4,583 2,419 2,164 4,047 269 0 220 0 47 0 1,330 1,461 4,583 1,825 1,068 3,555 510 763 1,825 1,415 410 423 44,911 55,708 55,500 1,256
12095016510 4,118 2,155 1,963 2,740 668 0 459 0 131 120 727 185 2,738 1,184 345 1,335 158 102 1,184 13 1,171 364 24,385 32,587 65,900 996
12095016511 4,297 2,217 2,080 3,229 372 0 487 0 62 147 1,203 174 2,999 1,006 544 1,614 134 122 1,006 384 622 165 61,111 82,232 217,400 1,200
12095016601 12,274 6,249 6,025 9,726 1,330 0 460 0 280 478 3,389 1,203 12,274 3,710 3,192 7,983 1,153 864 3,710 3,128 582 282 90,074 93,557 266,900 1,384
12095016602 9,857 4,666 5,191 7,906 650 88 397 0 412 404 2,293 1,263 9,857 3,357 2,588 6,898 1,069 993 3,357 2,706 651 437 67,554 75,833 263,900 1,214
12095016704 24,985 12,639 12,346 18,863 2,634 0 1,778 0 801 909 9,531 2,070 24,968 8,523 6,102 16,301 611 1,059 8,523 5,248 3,275 2,124 86,244 95,607 318,800 1,553
12095016709 8,394 4,111 4,283 6,394 398 113 123 0 790 576 6,243 1,236 8,394 2,291 1,738 5,767 1,205 894 2,291 1,613 678 135 46,618 43,974 147,900 1,324
12095016710 4,139 1,913 2,226 2,946 445 0 358 0 226 164 2,286 476 4,139 1,251 1,059 2,898 412 319 1,251 1,016 235 165 72,595 73,087 204,200 1,551
12095016712 9,548 4,545 5,003 7,102 854 21 744 0 704 123 5,528 589 9,548 3,297 1,995 5,526 1,023 604 3,297 1,384 1,913 609 40,695 39,117 123,400 1,130
12095016713 8,749 3,959 4,790 6,175 1,148 0 28 0 939 459 4,798 882 8,639 2,810 1,891 6,017 1,267 1,013 2,810 1,710 1,100 298 44,974 44,776 165,400 1,217
12095016714 3,752 1,840 1,912 2,567 509 0 135 0 334 207 2,006 527 3,643 1,036 883 2,584 329 313 1,036 685 351 71 63,203 57,969 187,800 1,336
12095016715 6,230 3,250 2,980 4,863 583 0 322 67 188 207 3,788 1,310 6,221 2,108 1,435 4,322 804 735 2,108 1,584 524 330 51,239 62,773 180,700 1,234
12095016716 5,942 2,871 3,071 4,390 623 0 565 0 172 192 1,643 1,226 5,942 1,942 1,519 4,391 389 453 1,942 1,708 234 138 95,250 101,425 282,200 1,760
12095016717 3,457 1,662 1,795 2,329 449 0 304 0 178 197 1,703 310 3,445 1,109 888 2,363 303 182 1,109 982 127 136 73,138 70,972 222,700 1,663
12095016723 4,939 2,461 2,478 3,611 462 22 204 0 257 383 2,322 725 4,924 1,625 1,232 3,393 534 596 1,625 1,298 327 127 60,331 59,891 184,400 1,442
12095016724 6,686 3,047 3,639 4,975 1,077 0 283 0 225 126 4,195 932 6,686 2,142 1,306 4,233 501 594 2,142 670 1,472 390 37,794 39,667 210,600 1,184
12095016727 12,048 5,151 6,897 9,149 1,609 0 628 0 448 214 6,216 767 12,048 4,746 2,076 7,100 329 673 4,746 1,156 3,590 444 49,835 59,135 202,400 1,314
12095016728 5,788 2,851 2,937 4,511 477 0 202 0 242 356 1,600 1,054 5,788 1,874 1,496 4,301 491 421 1,874 1,681 193 114 79,167 75,161 238,100 1,723
12095016729 17,892 8,602 9,290 12,117 2,329 0 1,294 0 1,474 678 7,224 1,883 17,892 5,448 3,953 11,452 1,439 1,728 5,448 3,109 2,339 82 61,735 62,062 261,300 1,214
12095016730 34,230 16,624 17,606 24,815 3,692 158 2,905 0 764 1,896 8,955 3,154 34,230 10,593 9,029 22,060 1,760 1,172 10,593 7,823 2,770 928 104,636 106,065 300,200 1,755
12095016731 7,031 4,900 2,131 4,491 1,715 43 410 0 200 172 2,006 365 3,830 1,387 963 5,240 1,428 150 1,387 703 684 237 77,114 69,918 257,900 1,487
12095016732 16,937 8,320 8,617 11,990 911 26 1,357 194 1,863 596 7,041 1,936 16,937 5,432 4,433 11,151 812 1,081 5,432 4,216 1,216 726 79,262 86,042 257,700 1,434
12095016733 5,897 2,642 3,255 4,092 758 27 132 0 683 205 2,809 1,376 5,897 2,124 1,498 4,488 616 627 2,124 1,665 459 237 53,190 62,629 156,800 1,508
12095016734 13,603 6,319 7,284 10,630 1,177 0 863 0 505 428 8,072 1,131 13,603 4,130 3,245 9,263 1,103 1,676 4,130 2,994 1,136 1,018 70,733 81,142 219,400 1,240
12095016802 12,987 6,079 6,908 9,831 614 0 1,038 0 625 879 4,907 1,547 12,987 4,487 3,453 8,544 712 620 4,487 3,157 1,330 1,022 96,205 108,848 329,000 1,866
12095016803 2,542 1,217 1,325 1,492 302 0 356 0 310 82 1,290 422 2,542 795 698 1,883 268 231 795 678 117 209 59,701 59,500 203,000 1,593
12095016804 3,714 1,936 1,778 2,170 283 15 505 0 518 223 1,950 453 3,714 1,101 741 2,723 391 424 1,101 779 322 618 64,205 68,953 173,000 1,264
12095016806 19,348 9,328 10,020 13,345 2,695 175 925 0 949 1,259 12,153 1,951 19,339 5,241 4,192 12,539 1,864 1,984 5,241 3,647 1,594 1,304 66,403 70,938 228,900 1,275
12095016807 20,252 10,139 10,113 12,990 2,536 0 1,004 0 2,712 1,010 12,601 2,141 20,252 5,567 4,404 14,425 1,320 1,580 5,567 3,744 1,823 1,481 71,594 70,929 237,100 1,664
12095016902 6,000 3,119 2,881 2,669 1,392 125 182 0 1,382 250 3,421 541 5,995 1,665 1,035 3,803 691 733 1,665 725 940 120 40,394 37,179 117,200 1,040
12095016903 17,140 7,806 9,334 8,613 6,247 0 608 0 1,490 182 8,911 1,145 17,140 5,172 3,586 11,143 1,367 1,597 5,172 531 4,641 1,470 42,059 42,080 130,000 1,160
12095016904 4,367 2,331 2,036 1,655 1,945 0 169 0 578 20 2,108 544 4,367 1,341 827 3,030 370 489 1,341 615 726 209 35,603 38,750 144,400 1,100
12095016906 3,665 1,667 1,998 1,333 1,866 0 44 0 215 207 1,442 148 3,665 1,476 678 2,380 446 318 1,476 36 1,440 779 26,988 34,038 -6 902
12095016907 6,171 2,967 3,204 2,183 3,028 0 71 0 665 224 2,455 290 6,171 2,172 1,169 3,974 543 642 2,172 236 1,936 649 33,632 38,008 105,000 1,024
12095017001 4,652 2,268 2,384 1,669 2,539 0 101 0 227 116 875 408 4,128 1,418 746 2,783 448 314 1,418 524 894 1,126 47,574 42,917 94,300 1,388
12095017004 5,163 2,353 2,810 4,102 367 0 62 13 482 137 2,123 848 5,145 2,100 1,199 3,938 453 402 2,100 1,263 837 645 54,595 48,672 183,600 1,286
12095017006 3,299 1,567 1,732 1,726 162 0 822 0 478 111 1,418 289 3,299 1,137 813 2,320 178 250 1,137 406 731 388 70,977 73,750 258,600 1,525
12095017008 10,122 5,016 5,106 5,760 788 13 1,091 0 2,204 266 5,631 904 10,122 2,926 2,312 6,606 1,051 856 2,926 1,393 1,533 708 52,325 55,045 165,300 1,302
12095017011 6,046 2,974 3,072 3,852 896 0 513 70 508 207 3,215 939 5,933 1,560 1,360 4,039 549 777 1,560 1,217 343 432 51,000 53,750 229,600 1,651
12095017012 2,825 1,335 1,490 1,595 427 0 437 79 117 170 890 501 2,825 908 706 1,987 136 245 908 770 138 100 76,818 86,154 269,800 1,860
12095017013 7,553 3,727 3,826 4,475 300 0 337 223 1,912 306 3,784 1,005 7,553 2,235 1,681 5,392 1,014 727 2,235 1,444 791 420 59,793 62,828 177,400 1,368
12095017014 10,335 5,370 4,965 6,945 1,040 0 1,293 0 607 450 4,929 1,053 10,235 3,447 2,084 7,371 949 769 3,447 1,562 1,885 1,741 61,850 64,805 247,900 1,370
12095017015 7,566 3,577 3,989 6,055 336 0 755 0 260 160 3,226 829 7,566 2,488 1,999 5,085 485 483 2,488 1,594 894 567 72,426 83,625 321,100 1,496
12095017016 9,619 4,610 5,009 6,695 893 0 913 0 764 354 2,786 1,611 9,619 3,674 2,379 7,091 675 495 3,674 2,330 1,344 1,847 70,427 90,663 253,800 1,486
12095017017 6,462 2,851 3,611 4,658 320 0 440 0 798 246 2,270 213 6,417 2,547 1,052 4,476 421 221 2,547 190 2,357 3,624 55,101 49,907 168,300 1,367
12095017103 29,497 14,028 15,469 22,102 2,388 74 2,242 0 1,552 1,139 6,761 2,727 29,497 10,075 6,816 20,329 1,220 1,483 10,075 6,201 3,874 1,322 78,291 94,047 321,600 1,615
12095017104 31,263 15,323 15,940 19,435 5,498 0 3,099 254 860 2,117 6,659 3,136 31,263 9,674 8,081 20,190 1,336 2,008 9,674 8,293 1,381 702 114,874 124,698 381,500 2,180
12095017105 24,226 12,078 12,148 19,813 1,395 0 1,856 0 426 736 3,707 1,475 24,226 7,347 6,314 14,614 758 1,001 7,347 5,730 1,617 1,176 111,424 117,985 386,300 2,019
12095017107 8,118 4,134 3,984 5,705 317 0 1,840 0 67 189 1,422 1,028 8,118 3,218 2,247 5,973 357 429 3,218 2,177 1,041 2,293 120,959 158,523 526,500 1,472
12095017108 10,158 5,007 5,151 7,666 498 0 976 0 598 420 1,851 1,110 10,135 3,328 2,663 6,657 407 467 3,328 2,254 1,074 420 92,769 97,491 665,600 1,495
12095017109 6,033 2,761 3,272 4,751 99 0 788 0 241 154 705 1,214 6,033 2,169 1,805 4,560 203 309 2,169 1,950 219 383 134,734 146,985 567,900 2,383
12095017200 4,834 2,260 2,574 3,595 783 18 71 0 275 92 956 703 4,656 1,768 1,156 3,420 406 475 1,768 1,077 691 228 62,262 85,000 251,300 1,054
12095017300 11,141 4,871 6,270 7,327 1,028 0 110 0 2,094 582 4,044 1,604 11,141 4,325 2,685 7,330 896 1,096 4,325 1,937 2,388 203 39,841 48,910 206,300 996
12095017400 11,532 6,189 5,343 7,657 2,596 73 292 0 564 350 2,927 1,812 11,210 3,842 2,630 8,548 1,179 1,293 3,842 2,813 1,029 369 67,151 76,742 260,100 1,152
12095017501 15,101 6,921 8,180 6,043 6,765 36 583 0 1,440 234 3,006 1,515 15,101 4,829 3,588 9,162 747 987 4,829 3,719 1,110 427 62,167 82,794 252,200 1,086
12095017503 5,913 3,150 2,763 4,392 1,010 0 76 0 396 39 2,785 707 5,906 2,262 1,372 3,945 750 653 2,262 885 1,377 117 40,798 42,353 187,700 1,094
12095017504 9,179 4,624 4,555 5,014 2,997 17 165 0 744 242 2,585 755 9,100 2,853 2,078 5,956 1,081 1,043 2,853 2,030 823 159 57,370 60,433 175,600 1,291
12095017600 5,090 2,381 2,709 1,758 2,828 0 0 0 398 106 1,602 589 5,061 1,520 1,011 3,031 471 648 1,520 844 676 247 37,736 44,299 88,700 858
12095017701 6,197 3,275 2,922 4,369 1,346 0 165 0 218 99 1,683 697 6,190 1,679 1,406 4,034 494 437 1,679 1,258 421 50 80,853 88,467 185,500 1,485
12095017702 2,206 1,106 1,100 1,707 226 0 75 0 157 41 349 370 2,206 804 601 1,629 181 238 804 669 135 50 69,167 73,661 265,500 1,500
12095017703 5,079 2,651 2,428 2,979 559 0 69 0 1,253 219 3,060 776 4,948 1,579 954 3,393 475 541 1,579 993 586 122 42,556 51,441 145,000 1,034
12095017802 16,411 8,647 7,764 11,337 3,271 95 822 0 415 471 3,677 2,598 16,411 5,869 3,994 11,447 1,606 1,448 5,869 4,508 1,361 954 69,512 82,901 237,900 1,598
12095017804 10,899 5,582 5,317 7,618 1,466 13 423 0 814 565 2,556 1,562 10,894 3,426 2,931 7,210 874 814 3,426 2,726 700 247 84,714 100,459 286,100 1,495
12095017805 2,965 1,498 1,467 2,569 305 0 36 0 0 55 857 584 2,952 1,068 759 2,102 431 390 1,068 789 279 101 72,778 77,917 206,300 1,092
12095017806 5,710 2,667 3,043 4,525 789 0 161 0 126 109 1,156 913 5,710 1,817 1,493 4,069 438 629 1,817 1,599 218 74 88,661 94,464 254,100 1,333
12095017807 3,926 1,885 2,041 2,864 495 0 22 0 253 292 1,738 382 3,914 1,275 962 2,524 550 324 1,275 872 403 72 52,835 52,139 168,500 1,212
12095017808 3,755 1,956 1,799 3,117 217 0 72 0 105 244 703 858 3,744 1,419 1,027 2,808 254 376 1,419 1,225 194 149 80,774 87,596 280,300 1,577
12095017901 3,648 1,833 1,815 2,132 1,011 0 73 0 376 56 933 578 3,611 1,323 960 2,708 384 493 1,323 1,126 197 180 70,469 106,304 277,000 1,048
12095017902 7,649 3,940 3,709 6,182 1,096 38 139 0 0 194 917 2,448 7,646 3,031 2,162 6,046 918 890 3,031 2,759 272 331 63,176 77,209 156,700 1,053
12095018000 3,057 1,498 1,559 1,289 1,432 0 160 0 51 125 286 512 2,846 1,205 663 2,141 420 345 1,205 470 735 169 34,191 39,792 179,900 1,115
12095018100 3,043 1,442 1,601 2,238 632 8 0 0 0 165 442 541 3,043 1,212 823 2,229 223 385 1,212 914 298 92 59,939 64,864 250,600 1,204
12095018200 10,939 5,115 5,824 8,446 825 54 587 0 510 517 2,593 1,623 10,814 5,009 2,452 8,182 383 664 5,009 2,171 2,838 995 75,248 132,391 402,200 1,617
12095018300 2,251 1,369 882 771 1,297 0 48 0 109 26 466 376 2,090 906 325 1,855 357 150 906 442 464 262 47,500 48,450 122,100 706
12095018400 2,596 1,239 1,357 2,305 237 0 13 0 19 22 998 453 2,557 1,097 403 1,954 231 236 1,097 483 614 73 52,161 51,607 264,000 962
12095018500 3,228 1,667 1,561 1,058 1,700 0 26 0 311 133 391 352 2,864 1,092 573 2,335 563 252 1,092 343 749 368 35,329 37,022 154,000 1,139
12095018700 5,524 2,814 2,710 1,374 3,599 8 0 0 374 169 760 960 5,381 1,810 1,180 3,067 444 488 1,810 670 1,140 254 19,958 25,426 263,500 385
12095018800 4,593 2,429 2,164 3,660 329 17 439 0 51 97 683 436 4,577 2,377 637 3,845 298 232 2,377 498 1,879 439 64,211 143,385 316,900 1,413
12095018900 6,970 3,528 3,442 4,521 1,689 0 355 0 253 152 1,464 1,150 6,565 4,129 977 5,817 372 594 4,129 826 3,303 1,169 50,202 36,641 257,300 1,250
12095990000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -6 -6 -6 -6


Thematic Pattern & Reference Maps for Orange County, FL & 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 12095 .. 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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