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  Situation & Outlook Report
  Honolulu County, HI  
  .. an information resource developed by ProximityOne .. more about these resources
  .. created 09/02/21

Data & DEDE Updates
.. new 2019 Mobility (section 1.3.) released 9/2/21.
.. new 2020Q1 Industry by Sector Characteristics data (section 3.1.) released 9/2/21.

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
  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 Characteristics
  2.5 New Authorized Residential Construction (monthly)
  3.1 Industry by Sector Characteristics (quarterly/annual)
  4.1 Census Tract Demographic-Economic Characteristics

Personal Income & Gross Domestic Product .. goto topics

In 2019, Honolulu had a personal income of $59,617,709*. This personal income ranked 1st in the state and accounted for 73.9 percent of the state total. In 2009, the personal income of Honolulu was $42,371,822* and ranked 1st in the state.


In 2019, Honolulu produced $70,808,812 in current-dollar total GDP*. This GDP ranked 1st in the state and accounted for 74.0 percent of the state total. In 2009, the total GDP of Honolulu was $49,234,135 and ranked 1st in the state.


In 2019, Honolulu real GDP fell 0.3 percent; the 2018-2019 state change was 0.3 percent. The 2009-2019 compound annual growth rate for Honolulu real GDP was 1.6 percent; the compound annual growth rate for the state was 1.8 percent.

*GDP estimates are in thousands of dollars.


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

Examine GDP components and compare Honolulu County, HI to other areas using this interactive table.

How & Why Honolulu County, HI is Changing .. goto topics
Honolulu County, HI (15003), part of Urban Honolulu, HI MSA (46520), changed in population from 956,320 (2010) to 963,826 (2020), a change of 7,506 (0.8%).
Factors accounting the change over the decade 2010 to 2020 include:
  • Births 2010-2020: 129,742
  • Deaths 2010-2020: 77,363
  • Natural Increase 2010-2020: 52,379
  • Net Migration 2010-2020: -44,259

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
Honolulu County, HI .. 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 953,207 100.0 1,016,508 100.0 63,301 6.6
  One race 740,171 77.7 767,822 75.5 27,651 3.7
    White alone 198,732 20.8 188,462 18.5 -10,270 -5.2
    Black alone 19,256 2.0 20,723 2.0 1,467 7.6
    American India/Alaskan Native alone 2,438 0.3 2,278 0.2 -160 -6.6
    Asian alone 418,410 43.9 436,853 43.0 18,443 4.4
    Native Hawaiian and Other Pacific Islander alone 90,878 9.5 102,099 10.0 11,221 12.3
    Other race 10,457 1.1 17,407 1.7 6,950 66.5
  Two or more races 213,036 22.3 248,686 24.5 35,650 16.7
  White, Non-Hispanic 181,684 19.1 175,530 17.3 -6,154 -3.4
  Black Non-Hispanic 17,929 1.9 19,356 1.9 1,427 8.0
  Hispanic (of any race) 77,433 8.1 92,322 9.1 14,889 19.2
Total population, 18 years or older 742,707 77.9 809,839 79.7 67,132 9.0
  One race 611,873 64.2 643,944 63.3 32,071 5.2
    White alone 169,467 17.8 162,201 16.0 -7,266 -4.3
    Black alone 14,853 1.6 16,769 1.6 1,916 12.9
    American India/Alaskan Native alone 2,000 0.2 1,939 0.2 -61 -3.1
    Asian alone 353,807 37.1 376,175 37.0 22,368 6.3
    Native Hawaiian and Other Pacific Islander alone 63,543 6.7 72,255 7.1 8,712 13.7
    Other race 8,203 0.9 14,605 1.4 6,402 78.0
  Two or more races 130,834 13.7 165,895 16.3 35,061 26.8
  White, Non-Hispanic 156,627 16.4 152,135 15.0 -4,492 -2.9
  Black Non-Hispanic 14,011 1.5 15,873 1.6 1,862 13.3
  Hispanic (of any race) 48,734 5.1 62,569 6.2 13,835 28.4
Group Quarters population 35,300 3.7 34,867 3.4 -433 -1.2
  Group Quarters, institutionalized population 7,658 0.8 7,243 0.7 -415 -5.4
  Group Quarters, noninstitutionalized population 27,642 2.9 27,624 2.7 -18 -0.1
Housing Units 336,899 100.0 370,665 100.0 33,766 10.0
  Occupied 311,047 92.3 336,412 90.8 25,365 8.2
  Vacant 25,852 7.7 34,253 9.2 8,401 32.5


1.1 Population & Components of Change .. goto topics
Based on Census Bureau model-based population estimates, the Honolulu County, HI population changed from 956,320 in 2010 to 963,826 in 2020, a change of 7,506 (0.8%).
Population/Component 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Population 956,320 967,510 978,295 986,494 988,002 991,755 993,044 986,973 981,076 973,491 963,826
Births 3,382 13,775 13,511 13,760 13,549 12,995 13,269 12,770 12,324 11,996 11,793
Deaths 1,754 7,068 7,133 7,226 7,465 7,688 7,373 7,851 7,901 8,432 9,226
Natural Increase 1,628 6,707 6,378 6,534 6,084 5,307 5,896 4,919 4,423 3,564 2,567
Net Migration 1,543 4,520 4,574 1,841 -4,497 -1,505 -4,596 -11,010 -10,320 -11,112 -12,154
    International 1,608 5,644 8,250 4,632 3,282 5,952 7,082 3,466 3,083 1,745 1,376
    Domestic 1,376 -65 -1,124 -3,676 -2,791 -7,779 -7,457 -11,678 -14,476 -13,403 -12,857
Group Quarters 35,715 35,714 35,343 36,063 36,229 36,423 36,654 35,663 35,141 34,411 34,383

Examine population estimates/components of change and compare Honolulu County, HI 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
Balance of Honolulu County 1599990 617,164 624,277 631,149 636,822 637,853 639,493 640,521 636,603 632,913 629,499  
Urban Honolulu CDP 1571550 339,121 343,059 346,845 349,237 349,561 351,571 351,747 349,750 346,945 345,064  

Examine city/place population estimates and compare places in Honolulu County, HI to other areas using this interactive table.
.. use the county code 15003 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 1053 mover partner areas for Honolulu County, HI. There were a total inbound movers of 58443 and a total outbound movers of 59762, for a net movers of -13722 (direct sums of columns shown below; nulls treated as zero). No county level data on the number of outbound movers to foreign locations are included in these mobility data. Detail file saved as c:\dede\movers_2019_15003.dbf.
Residence 1 Year Age Geocode Moved to 15003 Moved from 15003 Net Movers
Africa null 152 null null
Asia null 7680 null null
Central America null 192 null null
Caribbean null 97 null null
Europe null 1800 null null
U.S. Island Areas null 863 null null
Northern America null 236 null null
Oceania and At Sea null 1231 null null
South America null 152 null null
Baldwin County, Alabama 01003 26 123 -97
Calhoun County, Alabama 01015 24 0 24
Cleburne County, Alabama 01029 0 17 -17
Coffee County, Alabama 01031 45 91 -46
Cullman County, Alabama 01043 5 0 5
Dale County, Alabama 01045 36 208 -172
Dallas County, Alabama 01047 9 0 9
Houston County, Alabama 01069 0 18 -18
Jefferson County, Alabama 01073 26 30 -4
Lawrence County, Alabama 01079 0 7 -7
Limestone County, Alabama 01083 30 0 30
Madison County, Alabama 01089 10 0 10
Mobile County, Alabama 01097 16 0 16
Montgomery County, Alabama 01101 60 7 53
Morgan County, Alabama 01103 0 122 -122
Russell County, Alabama 01113 210 251 -41
Shelby County, Alabama 01117 0 6 -6
Tuscaloosa County, Alabama 01125 81 0 81
Aleutians East Borough, Alaska 02013 0 19 -19
Aleutians West Census Area, Alaska 02016 0 16 -16
Anchorage Municipality, Alaska 02020 220 183 37
Denali Borough, Alaska 02068 0 4 -4
Fairbanks North Star Borough, Alaska 02090 31 45 -14
Juneau City and Borough, Alaska 02110 6 12 -6
Ketchikan Gateway Borough, Alaska 02130 0 4 -4
Kodiak Island Borough, Alaska 02150 0 3 -3
Matanuska-Susitna Borough, Alaska 02170 29 95 -66
North Slope Borough, Alaska 02185 0 20 -20
Petersburg Borough, Alaska 02195 0 1 -1
Sitka City and Borough, Alaska 02220 0 1 -1
Valdez-Cordova Census Area, Alaska 02261 0 48 -48
Cochise County, Arizona 04003 200 30 170
Coconino County, Arizona 04005 12 166 -154
Graham County, Arizona 04009 0 5 -5
Maricopa County, Arizona 04013 408 1024 -616
Mohave County, Arizona 04015 57 0 57
Navajo County, Arizona 04017 0 18 -18
Pima County, Arizona 04019 393 200 193
Pinal County, Arizona 04021 151 302 -151
Yavapai County, Arizona 04025 0 83 -83
Yuma County, Arizona 04027 22 14 8
Dallas County, Arkansas 05039 0 25 -25
Faulkner County, Arkansas 05045 32 54 -22
Garland County, Arkansas 05051 0 8 -8
Lonoke County, Arkansas 05085 0 14 -14
Pulaski County, Arkansas 05119 36 28 8
Saline County, Arkansas 05125 10 0 10
Washington County, Arkansas 05143 0 29 -29
Alameda County, California 06001 168 318 -150
Butte County, California 06007 19 0 19
Colusa County, California 06011 0 10 -10
Contra Costa County, California 06013 207 170 37
El Dorado County, California 06017 38 38 0
Fresno County, California 06019 146 25 121
Humboldt County, California 06023 6 0 6
Imperial County, California 06025 10 18 -8
Inyo County, California 06027 0 43 -43
Kern County, California 06029 35 82 -47
Kings County, California 06031 72 68 4
Los Angeles County, California 06037 1229 1617 -388
Madera County, California 06039 0 22 -22
Marin County, California 06041 6 27 -21
Mendocino County, California 06045 0 24 -24
Mono County, California 06051 0 6 -6
Monterey County, California 06053 240 170 70
Nevada County, California 06057 0 51 -51
Orange County, California 06059 1297 612 685
Placer County, California 06061 58 211 -153
Plumas County, California 06063 0 45 -45
Riverside County, California 06065 392 471 -79
Sacramento County, California 06067 90 189 -99
San Bernardino County, California 06071 476 885 -409
San Diego County, California 06073 1548 2003 -455
San Francisco County, California 06075 246 220 26
San Joaquin County, California 06077 38 207 -169
San Luis Obispo County, California 06079 2 112 -110
San Mateo County, California 06081 79 190 -111
Santa Barbara County, California 06083 124 128 -4
Santa Clara County, California 06085 211 239 -28
Santa Cruz County, California 06087 10 56 -46
Shasta County, California 06089 61 24 37
Solano County, California 06095 154 362 -208
Sonoma County, California 06097 49 63 -14
Stanislaus County, California 06099 10 0 10
Sutter County, California 06101 21 0 21
Tulare County, California 06107 10 173 -163
Ventura County, California 06111 34 401 -367
Yolo County, California 06113 21 41 -20
Yuba County, California 06115 90 24 66
Adams County, Colorado 08001 6 24 -18
Arapahoe County, Colorado 08005 132 372 -240
Archuleta County, Colorado 08007 0 26 -26
Baca County, Colorado 08009 0 4 -4
Boulder County, Colorado 08013 14 260 -246
Broomfield County, Colorado 08014 26 114 -88
Clear Creek County, Colorado 08019 16 0 16
Denver County, Colorado 08031 84 206 -122
Douglas County, Colorado 08035 48 45 3
Elbert County, Colorado 08039 12 0 12
El Paso County, Colorado 08041 671 1244 -573
Garfield County, Colorado 08045 29 182 -153
Jefferson County, Colorado 08059 26 85 -59
Larimer County, Colorado 08069 33 33 0
Mesa County, Colorado 08077 5 28 -23
Ouray County, Colorado 08091 0 3 -3
Pitkin County, Colorado 08097 7 0 7
Weld County, Colorado 08123 10 6 4
Fairfield County, Connecticut 09001 39 80 -41
Hartford County, Connecticut 09003 25 0 25
New Haven County, Connecticut 09009 58 11 47
New London County, Connecticut 09011 240 362 -122
Tolland County, Connecticut 09013 0 49 -49
Windham County, Connecticut 09015 15 14 1
Kent County, Delaware 10001 9 42 -33
New Castle County, Delaware 10003 18 0 18
District of Columbia, District of Columbia 11001 343 59 284
Alachua County, Florida 12001 2 70 -68
Bay County, Florida 12005 0 42 -42
Brevard County, Florida 12009 161 31 130
Broward County, Florida 12011 22 88 -66
Clay County, Florida 12019 122 112 10
Collier County, Florida 12021 25 0 25
DeSoto County, Florida 12027 0 15 -15
Duval County, Florida 12031 167 156 11
Escambia County, Florida 12033 56 199 -143
Flagler County, Florida 12035 13 0 13
Hardee County, Florida 12049 3 0 3
Hernando County, Florida 12053 11 0 11
Hillsborough County, Florida 12057 236 222 14
Indian River County, Florida 12061 0 14 -14
Jackson County, Florida 12063 5 0 5
Lee County, Florida 12071 68 65 3
Leon County, Florida 12073 48 77 -29
Manatee County, Florida 12081 0 72 -72
Marion County, Florida 12083 85 0 85
Martin County, Florida 12085 0 13 -13
Miami-Dade County, Florida 12086 147 27 120
Okaloosa County, Florida 12091 118 11 107
Orange County, Florida 12095 112 337 -225
Osceola County, Florida 12097 0 77 -77
Palm Beach County, Florida 12099 0 82 -82
Pasco County, Florida 12101 246 13 233
Pinellas County, Florida 12103 116 27 89
Polk County, Florida 12105 119 0 119
St. Johns County, Florida 12109 0 125 -125
Santa Rosa County, Florida 12113 65 42 23
Sarasota County, Florida 12115 33 99 -66
Seminole County, Florida 12117 31 93 -62
Volusia County, Florida 12127 12 38 -26
Baldwin County, Georgia 13009 0 7 -7
Bryan County, Georgia 13029 15 50 -35
Camden County, Georgia 13039 23 100 -77
Carroll County, Georgia 13045 4 0 4
Chatham County, Georgia 13051 300 66 234
Chattahoochee County, Georgia 13053 78 66 12
Cherokee County, Georgia 13057 20 0 20
Cobb County, Georgia 13067 11 40 -29
Columbia County, Georgia 13073 226 26 200
Decatur County, Georgia 13087 0 6 -6
DeKalb County, Georgia 13089 0 79 -79
Forsyth County, Georgia 13117 0 192 -192
Fulton County, Georgia 13121 62 49 13
Gwinnett County, Georgia 13135 21 0 21
Houston County, Georgia 13153 54 11 43
Jasper County, Georgia 13159 0 4 -4
Liberty County, Georgia 13179 117 25 92
Long County, Georgia 13183 0 89 -89
Lowndes County, Georgia 13185 19 6 13
McDuffie County, Georgia 13189 0 214 -214
McIntosh County, Georgia 13191 2 0 2
Mitchell County, Georgia 13205 25 0 25
Muscogee County, Georgia 13215 497 200 297
Newton County, Georgia 13217 0 125 -125
Paulding County, Georgia 13223 28 0 28
Richmond County, Georgia 13245 499 72 427
Stewart County, Georgia 13259 0 5 -5
Treutlen County, Georgia 13283 19 0 19
Hawaii County, Hawaii 15001 1980 1531 449
Kalawao County, Hawaii 15005 0 1 -1
Kauai County, Hawaii 15007 409 322 87
Maui County, Hawaii 15009 935 1660 -725
Ada County, Idaho 16001 93 60 33
Bannock County, Idaho 16005 0 21 -21
Canyon County, Idaho 16027 69 15 54
Elmore County, Idaho 16039 15 6 9
Kootenai County, Idaho 16055 58 0 58
Latah County, Idaho 16057 7 9 -2
Twin Falls County, Idaho 16083 7 0 7
Champaign County, Illinois 17019 234 0 234
Cook County, Illinois 17031 514 255 259
DeKalb County, Illinois 17037 13 0 13
Henry County, Illinois 17073 0 14 -14
Kankakee County, Illinois 17091 9 0 9
Lake County, Illinois 17097 121 124 -3
Macoupin County, Illinois 17117 0 17 -17
Madison County, Illinois 17119 38 14 24
Peoria County, Illinois 17143 10 0 10
St. Clair County, Illinois 17163 34 24 10
Shelby County, Illinois 17173 0 10 -10
Tazewell County, Illinois 17179 12 0 12
Will County, Illinois 17197 59 0 59
Winnebago County, Illinois 17201 0 8 -8
Woodford County, Illinois 17203 0 4 -4
Allen County, Indiana 18003 0 64 -64
Brown County, Indiana 18013 0 12 -12
Dubois County, Indiana 18037 27 0 27
Elkhart County, Indiana 18039 0 8 -8
Grant County, Indiana 18053 0 3 -3
Hamilton County, Indiana 18057 5 368 -363
Hendricks County, Indiana 18063 16 0 16
Howard County, Indiana 18067 0 12 -12
Kosciusko County, Indiana 18085 173 0 173
Lake County, Indiana 18089 10 0 10
Madison County, Indiana 18095 0 4 -4
Marion County, Indiana 18097 48 4 44
Monroe County, Indiana 18105 65 0 65
St. Joseph County, Indiana 18141 30 0 30
Tippecanoe County, Indiana 18157 0 28 -28
Vigo County, Indiana 18167 13 36 -23
Bremer County, Iowa 19017 0 13 -13
Buena Vista County, Iowa 19021 0 3 -3
Clayton County, Iowa 19043 0 6 -6
Clinton County, Iowa 19045 0 45 -45
Lee County, Iowa 19111 132 0 132
Linn County, Iowa 19113 8 22 -14
Palo Alto County, Iowa 19147 0 9 -9
Polk County, Iowa 19153 72 80 -8
Pottawattamie County, Iowa 19155 0 14 -14
Sioux County, Iowa 19167 0 11 -11
Story County, Iowa 19169 21 0 21
Warren County, Iowa 19181 25 0 25
Winnebago County, Iowa 19189 0 2 -2
Woodbury County, Iowa 19193 16 0 16
Bourbon County, Kansas 20011 5 0 5
Cherokee County, Kansas 20021 0 25 -25
Douglas County, Kansas 20045 53 0 53
Geary County, Kansas 20061 247 51 196
Harvey County, Kansas 20079 0 5 -5
Johnson County, Kansas 20091 24 58 -34
Leavenworth County, Kansas 20103 213 39 174
Nemaha County, Kansas 20131 10 0 10
Pratt County, Kansas 20151 0 4 -4
Rawlins County, Kansas 20153 0 1 -1
Reno County, Kansas 20155 0 18 -18
Riley County, Kansas 20161 170 18 152
Sedgwick County, Kansas 20173 0 56 -56
Shawnee County, Kansas 20177 10 0 10
Wyandotte County, Kansas 20209 38 0 38
Barren County, Kentucky 21009 12 0 12
Estill County, Kentucky 21065 0 3 -3
Fayette County, Kentucky 21067 0 45 -45
Hardin County, Kentucky 21093 196 88 108
Jefferson County, Kentucky 21111 0 110 -110
Madison County, Kentucky 21151 6 0 6
Meade County, Kentucky 21163 0 24 -24
Morgan County, Kentucky 21175 13 0 13
Taylor County, Kentucky 21217 0 29 -29
Trimble County, Kentucky 21223 0 22 -22
Warren County, Kentucky 21227 0 14 -14
Wolfe County, Kentucky 21237 0 27 -27
Beauregard Parish, Louisiana 22011 0 2 -2
Bossier Parish, Louisiana 22015 47 0 47
Caddo Parish, Louisiana 22017 50 78 -28
Calcasieu Parish, Louisiana 22019 15 0 15
Jefferson Parish, Louisiana 22051 0 40 -40
Lafayette Parish, Louisiana 22055 3 0 3
Livingston Parish, Louisiana 22063 0 70 -70
Orleans Parish, Louisiana 22071 60 30 30
Plaquemines Parish, Louisiana 22075 11 0 11
Rapides Parish, Louisiana 22079 0 53 -53
St. James Parish, Louisiana 22093 0 11 -11
Vernon Parish, Louisiana 22115 101 147 -46
Washington Parish, Louisiana 22117 0 36 -36
Androscoggin County, Maine 23001 0 37 -37
Cumberland County, Maine 23005 24 58 -34
Knox County, Maine 23013 0 4 -4
Lincoln County, Maine 23015 0 10 -10
Penobscot County, Maine 23019 0 3 -3
Waldo County, Maine 23027 0 7 -7
York County, Maine 23031 0 168 -168
Anne Arundel County, Maryland 24003 170 697 -527
Baltimore County, Maryland 24005 10 28 -18
Calvert County, Maryland 24009 11 28 -17
Carroll County, Maryland 24013 14 0 14
Charles County, Maryland 24017 13 82 -69
Frederick County, Maryland 24021 186 21 165
Harford County, Maryland 24025 0 104 -104
Howard County, Maryland 24027 64 99 -35
Montgomery County, Maryland 24031 72 398 -326
Prince George's County, Maryland 24033 75 221 -146
Queen Anne's County, Maryland 24035 12 0 12
St. Mary's County, Maryland 24037 4 106 -102
Washington County, Maryland 24043 0 45 -45
Baltimore city, Maryland 24510 0 4 -4
Barnstable County, Massachusetts 25001 32 6 26
Berkshire County, Massachusetts 25003 0 5 -5
Bristol County, Massachusetts 25005 0 47 -47
Dukes County, Massachusetts 25007 70 0 70
Essex County, Massachusetts 25009 67 13 54
Hampden County, Massachusetts 25013 51 0 51
Hampshire County, Massachusetts 25015 9 0 9
Middlesex County, Massachusetts 25017 51 157 -106
Norfolk County, Massachusetts 25021 48 57 -9
Plymouth County, Massachusetts 25023 48 0 48
Suffolk County, Massachusetts 25025 66 140 -74
Benzie County, Michigan 26019 0 16 -16
Berrien County, Michigan 26021 0 6 -6
Calhoun County, Michigan 26025 0 4 -4
Chippewa County, Michigan 26033 28 0 28
Delta County, Michigan 26041 20 0 20
Eaton County, Michigan 26045 4 0 4
Grand Traverse County, Michigan 26055 0 14 -14
Houghton County, Michigan 26061 0 75 -75
Ingham County, Michigan 26065 0 6 -6
Isabella County, Michigan 26073 0 19 -19
Kent County, Michigan 26081 30 33 -3
Lapeer County, Michigan 26087 7 0 7
Leelanau County, Michigan 26089 0 3 -3
Lenawee County, Michigan 26091 14 0 14
Livingston County, Michigan 26093 0 15 -15
Macomb County, Michigan 26099 67 51 16
Marquette County, Michigan 26103 0 37 -37
Midland County, Michigan 26111 15 22 -7
Muskegon County, Michigan 26121 0 26 -26
Otsego County, Michigan 26137 0 6 -6
Ottawa County, Michigan 26139 2 0 2
St. Clair County, Michigan 26147 0 36 -36
St. Joseph County, Michigan 26149 14 0 14
Washtenaw County, Michigan 26161 7 74 -67
Wayne County, Michigan 26163 54 0 54
Anoka County, Minnesota 27003 0 10 -10
Beltrami County, Minnesota 27007 27 0 27
Blue Earth County, Minnesota 27013 24 0 24
Cass County, Minnesota 27021 0 1 -1
Clay County, Minnesota 27027 0 3 -3
Dakota County, Minnesota 27037 40 11 29
Grant County, Minnesota 27051 0 1 -1
Hennepin County, Minnesota 27053 25 18 7
Isanti County, Minnesota 27059 0 12 -12
Mower County, Minnesota 27099 0 2 -2
Olmsted County, Minnesota 27109 24 0 24
Ramsey County, Minnesota 27123 0 16 -16
Rice County, Minnesota 27131 0 4 -4
Washington County, Minnesota 27163 0 21 -21
Wright County, Minnesota 27171 22 4 18
Bolivar County, Mississippi 28011 0 7 -7
Harrison County, Mississippi 28047 112 94 18
Hinds County, Mississippi 28049 27 0 27
Jackson County, Mississippi 28059 13 30 -17
Lafayette County, Mississippi 28071 0 16 -16
Lauderdale County, Mississippi 28075 0 37 -37
Lowndes County, Mississippi 28087 0 81 -81
Neshoba County, Mississippi 28099 0 9 -9
Pearl River County, Mississippi 28109 0 19 -19
Warren County, Mississippi 28149 0 5 -5
Clay County, Missouri 29047 20 28 -8
Clinton County, Missouri 29049 0 26 -26
Jackson County, Missouri 29095 51 35 16
Jasper County, Missouri 29097 0 10 -10
Laclede County, Missouri 29105 7 0 7
Nodaway County, Missouri 29147 59 0 59
Pettis County, Missouri 29159 0 93 -93
Platte County, Missouri 29165 19 9 10
Pulaski County, Missouri 29169 248 158 90
Ray County, Missouri 29177 0 4 -4
St. Charles County, Missouri 29183 0 36 -36
St. Louis County, Missouri 29189 234 74 160
Taney County, Missouri 29213 0 16 -16
Webster County, Missouri 29225 0 43 -43
St. Louis city, Missouri 29510 8 8 0
Beaverhead County, Montana 30001 0 5 -5
Cascade County, Montana 30013 48 7 41
Gallatin County, Montana 30031 6 4 2
Lake County, Montana 30047 81 0 81
Missoula County, Montana 30063 0 9 -9
Rosebud County, Montana 30087 49 0 49
Sweet Grass County, Montana 30097 8 0 8
Douglas County, Nebraska 31055 140 163 -23
Lancaster County, Nebraska 31109 53 5 48
Nemaha County, Nebraska 31127 0 2 -2
Sarpy County, Nebraska 31153 0 31 -31
Thurston County, Nebraska 31173 0 13 -13
Churchill County, Nevada 32001 14 24 -10
Clark County, Nevada 32003 817 2457 -1640
Lyon County, Nevada 32019 6 0 6
Nye County, Nevada 32023 14 0 14
Washoe County, Nevada 32031 114 257 -143
Carson City, Nevada 32510 6 32 -26
Carroll County, New Hampshire 33003 10 0 10
Hillsborough County, New Hampshire 33011 0 68 -68
Merrimack County, New Hampshire 33013 0 48 -48
Rockingham County, New Hampshire 33015 0 15 -15
Strafford County, New Hampshire 33017 0 25 -25
Bergen County, New Jersey 34003 6 9 -3
Burlington County, New Jersey 34005 79 87 -8
Cumberland County, New Jersey 34011 0 16 -16
Gloucester County, New Jersey 34015 39 49 -10
Hudson County, New Jersey 34017 0 25 -25
Hunterdon County, New Jersey 34019 0 3 -3
Mercer County, New Jersey 34021 17 0 17
Middlesex County, New Jersey 34023 103 34 69
Monmouth County, New Jersey 34025 23 3 20
Morris County, New Jersey 34027 19 0 19
Ocean County, New Jersey 34029 5 103 -98
Passaic County, New Jersey 34031 0 18 -18
Somerset County, New Jersey 34035 0 21 -21
Sussex County, New Jersey 34037 0 10 -10
Union County, New Jersey 34039 0 9 -9
Bernalillo County, New Mexico 35001 175 56 119
Chaves County, New Mexico 35005 0 7 -7
Colfax County, New Mexico 35007 0 1 -1
Curry County, New Mexico 35009 0 48 -48
Doña Ana County, New Mexico 35013 32 120 -88
Grant County, New Mexico 35017 32 0 32
Los Alamos County, New Mexico 35028 0 6 -6
McKinley County, New Mexico 35031 0 25 -25
Otero County, New Mexico 35035 19 15 4
Quay County, New Mexico 35037 0 43 -43
Sandoval County, New Mexico 35043 0 8 -8
Santa Fe County, New Mexico 35049 32 13 19
Valencia County, New Mexico 35061 0 12 -12
Albany County, New York 36001 9 0 9
Bronx County, New York 36005 4 0 4
Clinton County, New York 36019 0 61 -61
Dutchess County, New York 36027 0 25 -25
Erie County, New York 36029 31 141 -110
Franklin County, New York 36033 0 3 -3
Jefferson County, New York 36045 417 335 82
Kings County, New York 36047 153 86 67
Madison County, New York 36053 0 7 -7
Monroe County, New York 36055 39 25 14
Nassau County, New York 36059 27 0 27
New York County, New York 36061 61 126 -65
Oneida County, New York 36065 25 11 14
Onondaga County, New York 36067 27 58 -31
Ontario County, New York 36069 21 0 21
Orange County, New York 36071 3 114 -111
Orleans County, New York 36073 0 10 -10
Oswego County, New York 36075 54 0 54
Queens County, New York 36081 173 6 167
Rensselaer County, New York 36083 9 15 -6
Richmond County, New York 36085 30 0 30
Saratoga County, New York 36091 177 0 177
Steuben County, New York 36101 0 6 -6
Suffolk County, New York 36103 35 17 18
Sullivan County, New York 36105 0 9 -9
Tompkins County, New York 36109 0 6 -6
Ulster County, New York 36111 6 6 0
Washington County, New York 36115 0 40 -40
Westchester County, New York 36119 34 0 34
Alamance County, North Carolina 37001 13 0 13
Beaufort County, North Carolina 37013 0 2 -2
Brunswick County, North Carolina 37019 11 0 11
Buncombe County, North Carolina 37021 6 36 -30
Cabarrus County, North Carolina 37025 0 57 -57
Carteret County, North Carolina 37031 0 7 -7
Catawba County, North Carolina 37035 0 9 -9
Chatham County, North Carolina 37037 0 57 -57
Cleveland County, North Carolina 37045 11 0 11
Craven County, North Carolina 37049 32 238 -206
Cumberland County, North Carolina 37051 604 919 -315
Dare County, North Carolina 37055 23 0 23
Durham County, North Carolina 37063 57 14 43
Forsyth County, North Carolina 37067 0 10 -10
Harnett County, North Carolina 37085 100 269 -169
Hoke County, North Carolina 37093 4 0 4
Johnston County, North Carolina 37101 18 0 18
Mecklenburg County, North Carolina 37119 136 93 43
Moore County, North Carolina 37125 15 18 -3
New Hanover County, North Carolina 37129 0 7 -7
Onslow County, North Carolina 37133 349 382 -33
Orange County, North Carolina 37135 3 181 -178
Pasquotank County, North Carolina 37139 7 0 7
Pender County, North Carolina 37141 158 0 158
Perquimans County, North Carolina 37143 5 0 5
Rowan County, North Carolina 37159 14 0 14
Wake County, North Carolina 37183 71 105 -34
Wayne County, North Carolina 37191 28 0 28
Barnes County, North Dakota 38003 0 2 -2
Burleigh County, North Dakota 38015 5 0 5
Cass County, North Dakota 38017 0 23 -23
Divide County, North Dakota 38023 13 0 13
Grand Forks County, North Dakota 38035 55 20 35
Adams County, Ohio 39001 0 30 -30
Athens County, Ohio 39009 17 0 17
Butler County, Ohio 39017 15 0 15
Carroll County, Ohio 39019 13 0 13
Columbiana County, Ohio 39029 12 0 12
Cuyahoga County, Ohio 39035 6 62 -56
Delaware County, Ohio 39041 23 93 -70
Erie County, Ohio 39043 0 89 -89
Fairfield County, Ohio 39045 30 0 30
Franklin County, Ohio 39049 64 52 12
Fulton County, Ohio 39051 10 0 10
Greene County, Ohio 39057 51 0 51
Guernsey County, Ohio 39059 0 10 -10
Hamilton County, Ohio 39061 110 5 105
Lake County, Ohio 39085 0 19 -19
Licking County, Ohio 39089 11 0 11
Lorain County, Ohio 39093 23 7 16
Mahoning County, Ohio 39099 29 8 21
Marion County, Ohio 39101 31 0 31
Medina County, Ohio 39103 21 0 21
Miami County, Ohio 39109 10 0 10
Montgomery County, Ohio 39113 102 0 102
Muskingum County, Ohio 39119 16 0 16
Pickaway County, Ohio 39129 23 0 23
Portage County, Ohio 39133 10 2 8
Ross County, Ohio 39141 8 0 8
Summit County, Ohio 39153 0 64 -64
Warren County, Ohio 39165 29 128 -99
Washington County, Ohio 39167 8 0 8
Wayne County, Ohio 39169 0 4 -4
Bryan County, Oklahoma 40013 15 0 15
Cleveland County, Oklahoma 40027 17 58 -41
Comanche County, Oklahoma 40031 128 423 -295
Creek County, Oklahoma 40037 6 0 6
Garfield County, Oklahoma 40047 106 11 95
Jackson County, Oklahoma 40065 0 59 -59
Lincoln County, Oklahoma 40081 18 0 18
Muskogee County, Oklahoma 40101 16 0 16
Nowata County, Oklahoma 40105 0 20 -20
Oklahoma County, Oklahoma 40109 42 8 34
Okmulgee County, Oklahoma 40111 0 3 -3
Rogers County, Oklahoma 40131 0 9 -9
Tulsa County, Oklahoma 40143 0 66 -66
Wagoner County, Oklahoma 40145 0 15 -15
Woodward County, Oklahoma 40153 0 17 -17
Benton County, Oregon 41003 0 82 -82
Clackamas County, Oregon 41005 35 100 -65
Clatsop County, Oregon 41007 15 106 -91
Columbia County, Oregon 41009 9 24 -15
Deschutes County, Oregon 41017 46 25 21
Douglas County, Oregon 41019 0 59 -59
Jackson County, Oregon 41029 86 145 -59
Jefferson County, Oregon 41031 1 0 1
Josephine County, Oregon 41033 63 14 49
Klamath County, Oregon 41035 6 5 1
Lane County, Oregon 41039 83 129 -46
Lincoln County, Oregon 41041 0 1 -1
Linn County, Oregon 41043 47 32 15
Malheur County, Oregon 41045 17 0 17
Marion County, Oregon 41047 37 23 14
Multnomah County, Oregon 41051 115 327 -212
Polk County, Oregon 41053 83 53 30
Umatilla County, Oregon 41059 0 52 -52
Union County, Oregon 41061 15 0 15
Wallowa County, Oregon 41063 0 2 -2
Washington County, Oregon 41067 133 487 -354
Yamhill County, Oregon 41071 0 87 -87
Allegheny County, Pennsylvania 42003 114 33 81
Berks County, Pennsylvania 42011 0 23 -23
Bucks County, Pennsylvania 42017 137 27 110
Butler County, Pennsylvania 42019 0 65 -65
Cambria County, Pennsylvania 42021 0 21 -21
Centre County, Pennsylvania 42027 0 178 -178
Chester County, Pennsylvania 42029 0 137 -137
Crawford County, Pennsylvania 42039 0 3 -3
Dauphin County, Pennsylvania 42043 9 0 9
Delaware County, Pennsylvania 42045 21 0 21
Erie County, Pennsylvania 42049 7 18 -11
Fayette County, Pennsylvania 42051 14 6 8
Jefferson County, Pennsylvania 42065 0 40 -40
Lehigh County, Pennsylvania 42077 0 23 -23
Luzerne County, Pennsylvania 42079 0 4 -4
Monroe County, Pennsylvania 42089 128 0 128
Philadelphia County, Pennsylvania 42101 226 34 192
Washington County, Pennsylvania 42125 0 21 -21
Westmoreland County, Pennsylvania 42129 0 4 -4
York County, Pennsylvania 42133 15 0 15
Newport County, Rhode Island 44005 83 13 70
Providence County, Rhode Island 44007 51 10 41
Washington County, Rhode Island 44009 8 0 8
Beaufort County, South Carolina 45013 31 116 -85
Berkeley County, South Carolina 45015 141 112 29
Charleston County, South Carolina 45019 86 88 -2
Dorchester County, South Carolina 45035 84 12 72
Florence County, South Carolina 45041 31 0 31
Greenville County, South Carolina 45045 0 175 -175
Horry County, South Carolina 45051 34 72 -38
Jasper County, South Carolina 45053 21 0 21
Lexington County, South Carolina 45063 0 13 -13
Marion County, South Carolina 45067 18 0 18
Oconee County, South Carolina 45073 0 14 -14
Orangeburg County, South Carolina 45075 0 18 -18
Richland County, South Carolina 45079 488 81 407
Sumter County, South Carolina 45085 21 33 -12
York County, South Carolina 45091 0 28 -28
Minnehaha County, South Dakota 46099 10 0 10
Yankton County, South Dakota 46135 0 57 -57
Anderson County, Tennessee 47001 1 28 -27
Blount County, Tennessee 47009 22 0 22
Campbell County, Tennessee 47013 59 0 59
Carter County, Tennessee 47019 2 0 2
Davidson County, Tennessee 47037 34 57 -23
Franklin County, Tennessee 47051 0 71 -71
Hamilton County, Tennessee 47065 15 14 1
Knox County, Tennessee 47093 0 10 -10
Lauderdale County, Tennessee 47097 22 0 22
Maury County, Tennessee 47119 0 92 -92
Montgomery County, Tennessee 47125 137 240 -103
Robertson County, Tennessee 47147 0 33 -33
Rutherford County, Tennessee 47149 0 69 -69
Shelby County, Tennessee 47157 136 74 62
Sullivan County, Tennessee 47163 23 6 17
Washington County, Tennessee 47179 0 53 -53
Williamson County, Tennessee 47187 0 18 -18
Wilson County, Tennessee 47189 0 38 -38
Austin County, Texas 48015 0 70 -70
Bastrop County, Texas 48021 7 3 4
Bell County, Texas 48027 737 1025 -288
Bexar County, Texas 48029 611 902 -291
Brazos County, Texas 48041 0 67 -67
Cameron County, Texas 48061 39 0 39
Chambers County, Texas 48071 0 7 -7
Collin County, Texas 48085 39 139 -100
Comal County, Texas 48091 0 118 -118
Cooke County, Texas 48097 0 13 -13
Coryell County, Texas 48099 54 78 -24
Dallas County, Texas 48113 23 97 -74
Denton County, Texas 48121 20 161 -141
Donley County, Texas 48129 0 6 -6
Ector County, Texas 48135 0 26 -26
Ellis County, Texas 48139 18 0 18
El Paso County, Texas 48141 458 470 -12
Fort Bend County, Texas 48157 33 74 -41
Galveston County, Texas 48167 0 90 -90
Gonzales County, Texas 48177 6 2 4
Grayson County, Texas 48181 0 15 -15
Guadalupe County, Texas 48187 0 71 -71
Harris County, Texas 48201 289 88 201
Hidalgo County, Texas 48215 0 28 -28
Hill County, Texas 48217 0 3 -3
Kerr County, Texas 48265 43 0 43
Kleberg County, Texas 48273 0 198 -198
Lubbock County, Texas 48303 0 85 -85
McLennan County, Texas 48309 44 13 31
Mills County, Texas 48333 0 18 -18
Montague County, Texas 48337 0 7 -7
Montgomery County, Texas 48339 0 26 -26
Nacogdoches County, Texas 48347 45 0 45
Nueces County, Texas 48355 70 19 51
Reeves County, Texas 48389 0 12 -12
Rockwall County, Texas 48397 18 0 18
San Jacinto County, Texas 48407 0 60 -60
San Patricio County, Texas 48409 0 20 -20
Shelby County, Texas 48419 22 0 22
Smith County, Texas 48423 20 0 20
Swisher County, Texas 48437 0 13 -13
Tarrant County, Texas 48439 182 124 58
Tom Green County, Texas 48451 18 55 -37
Travis County, Texas 48453 36 401 -365
Upshur County, Texas 48459 0 89 -89
Walker County, Texas 48471 17 0 17
Wichita County, Texas 48485 16 140 -124
Williamson County, Texas 48491 0 209 -209
Young County, Texas 48503 0 48 -48
Box Elder County, Utah 49003 0 41 -41
Cache County, Utah 49005 0 15 -15
Davis County, Utah 49011 258 47 211
Grand County, Utah 49019 5 0 5
Salt Lake County, Utah 49035 59 686 -627
Sanpete County, Utah 49039 0 5 -5
Summit County, Utah 49043 9 0 9
Utah County, Utah 49049 284 329 -45
Washington County, Utah 49053 12 66 -54
Chittenden County, Vermont 50007 0 14 -14
Rutland County, Vermont 50021 0 29 -29
Washington County, Vermont 50023 18 0 18
Albemarle County, Virginia 51003 0 73 -73
Amherst County, Virginia 51009 0 30 -30
Arlington County, Virginia 51013 48 96 -48
Buchanan County, Virginia 51027 22 0 22
Caroline County, Virginia 51033 194 0 194
Chesterfield County, Virginia 51041 10 48 -38
Fairfax County, Virginia 51059 591 663 -72
Fauquier County, Virginia 51061 33 0 33
Fluvanna County, Virginia 51065 8 0 8
Gloucester County, Virginia 51073 0 10 -10
Henrico County, Virginia 51087 29 0 29
Henry County, Virginia 51089 0 4 -4
James City County, Virginia 51095 0 57 -57
King George County, Virginia 51099 95 2 93
Loudoun County, Virginia 51107 42 11 31
Montgomery County, Virginia 51121 7 45 -38
Pittsylvania County, Virginia 51143 0 26 -26
Prince George County, Virginia 51149 54 289 -235
Prince William County, Virginia 51153 189 186 3
Roanoke County, Virginia 51161 5 0 5
Spotsylvania County, Virginia 51177 16 0 16
Stafford County, Virginia 51179 178 263 -85
Warren County, Virginia 51187 8 0 8
York County, Virginia 51199 170 32 138
Alexandria city, Virginia 51510 132 49 83
Charlottesville city, Virginia 51540 5 12 -7
Chesapeake city, Virginia 51550 35 257 -222
Colonial Heights city, Virginia 51570 0 13 -13
Falls Church city, Virginia 51610 0 27 -27
Hampton city, Virginia 51650 218 24 194
Lynchburg city, Virginia 51680 0 11 -11
Manassas city, Virginia 51683 0 18 -18
Newport News city, Virginia 51700 109 92 17
Norfolk city, Virginia 51710 210 120 90
Petersburg city, Virginia 51730 13 0 13
Portsmouth city, Virginia 51740 48 12 36
Salem city, Virginia 51775 0 23 -23
Suffolk city, Virginia 51800 34 38 -4
Virginia Beach city, Virginia 51810 415 276 139
Williamsburg city, Virginia 51830 5 0 5
Benton County, Washington 53005 39 5 34
Clark County, Washington 53011 84 25 59
Cowlitz County, Washington 53015 45 24 21
Franklin County, Washington 53021 5 0 5
Grays Harbor County, Washington 53027 49 0 49
Island County, Washington 53029 54 75 -21
King County, Washington 53033 685 984 -299
Kitsap County, Washington 53035 200 446 -246
Klickitat County, Washington 53039 0 6 -6
Lewis County, Washington 53041 0 98 -98
Pierce County, Washington 53053 785 651 134
San Juan County, Washington 53055 23 30 -7
Skagit County, Washington 53057 0 69 -69
Snohomish County, Washington 53061 29 352 -323
Spokane County, Washington 53063 38 199 -161
Stevens County, Washington 53065 0 2 -2
Thurston County, Washington 53067 314 516 -202
Walla Walla County, Washington 53071 15 10 5
Whatcom County, Washington 53073 1 116 -115
Whitman County, Washington 53075 0 58 -58
Cabell County, West Virginia 54011 5 0 5
Kanawha County, West Virginia 54039 23 0 23
Mercer County, West Virginia 54055 11 6 5
Monongalia County, West Virginia 54061 18 27 -9
Dane County, Wisconsin 55025 26 0 26
Eau Claire County, Wisconsin 55035 0 11 -11
Forest County, Wisconsin 55041 0 9 -9
Jefferson County, Wisconsin 55055 0 23 -23
Juneau County, Wisconsin 55057 0 11 -11
La Crosse County, Wisconsin 55063 0 62 -62
Milwaukee County, Wisconsin 55079 0 99 -99
Outagamie County, Wisconsin 55087 12 0 12
Polk County, Wisconsin 55095 0 17 -17
Racine County, Wisconsin 55101 12 0 12
St. Croix County, Wisconsin 55109 0 36 -36
Shawano County, Wisconsin 55115 1 0 1
Sheboygan County, Wisconsin 55117 0 19 -19
Trempealeau County, Wisconsin 55121 0 10 -10
Waukesha County, Wisconsin 55133 10 15 -5
Laramie County, Wyoming 56021 23 21 2
Sheridan County, Wyoming 56033 0 4 -4
Sweetwater County, Wyoming 56037 0 2 -2
Teton County, Wyoming 56039 0 7 -7
Bayamón Municipio, Puerto Rico 72021 38 0 38
Caguas Municipio, Puerto Rico 72025 2 0 2
Canóvanas Municipio, Puerto Rico 72029 0 14 -14
Humacao Municipio, Puerto Rico 72069 1 0 1
Mayagüez Municipio, Puerto Rico 72097 32 0 32
Bridgeport town, Fairfield County, Connecticut 0900108070 32 42 -10
New Canaan town, Fairfield County, Connecticut 0900150580 7 0 7
Stratford town, Fairfield County, Connecticut 0900174190 0 38 -38
Bristol town, Hartford County, Connecticut 0900308490 21 0 21
Hartford town, Hartford County, Connecticut 0900337070 4 0 4
Hamden town, New Haven County, Connecticut 0900935650 0 11 -11
Madison town, New Haven County, Connecticut 0900944560 46 0 46
Milford town, New Haven County, Connecticut 0900947535 12 0 12
East Lyme town, New London County, Connecticut 0901123400 3 0 3
Groton town, New London County, Connecticut 0901134250 190 231 -41
Ledyard town, New London County, Connecticut 0901142600 0 49 -49
Montville town, New London County, Connecticut 0901148900 47 0 47
New London town, New London County, Connecticut 0901152350 0 46 -46
Norwich town, New London County, Connecticut 0901156270 0 36 -36
Andover town, Tolland County, Connecticut 0901301080 0 39 -39
Hebron town, Tolland County, Connecticut 0901337910 0 10 -10
Plainfield town, Windham County, Connecticut 0901559980 15 0 15
Windham town, Windham County, Connecticut 0901586790 0 14 -14
Lewiston city, Androscoggin County, Maine 2300138740 0 37 -37
Brunswick town, Cumberland County, Maine 2300508430 0 4 -4
Cumberland town, Cumberland County, Maine 2300515430 24 28 -4
Harpswell town, Cumberland County, Maine 2300531390 0 18 -18
Pownal town, Cumberland County, Maine 2300560685 0 8 -8
Cushing town, Knox County, Maine 2301315780 0 4 -4
Edgecomb town, Lincoln County, Maine 2301522675 0 10 -10
Mattawamkeag town, Penobscot County, Maine 2301944270 0 3 -3
Stockton Springs town, Waldo County, Maine 2302774475 0 7 -7
York town, York County, Maine 2303187985 0 168 -168
Chatham town, Barnstable County, Massachusetts 2500112995 0 6 -6
Harwich town, Barnstable County, Massachusetts 2500129020 32 0 32
Williamstown town, Berkshire County, Massachusetts 2500379985 0 5 -5
Attleboro city, Bristol County, Massachusetts 2500502690 0 47 -47
Edgartown town, Dukes County, Massachusetts 2500721150 70 0 70
Beverly city, Essex County, Massachusetts 2500905595 61 0 61
Lynn city, Essex County, Massachusetts 2500937490 6 0 6
Methuen Town city, Essex County, Massachusetts 2500940710 0 13 -13
Longmeadow town, Hampden County, Massachusetts 2501336300 51 0 51
Amherst town, Hampshire County, Massachusetts 2501501325 9 0 9
Belmont town, Middlesex County, Massachusetts 2501705070 6 0 6
Cambridge city, Middlesex County, Massachusetts 2501711000 24 0 24
Malden city, Middlesex County, Massachusetts 2501737875 3 0 3
Melrose city, Middlesex County, Massachusetts 2501740115 9 0 9
Natick town, Middlesex County, Massachusetts 2501743895 0 4 -4
Newton city, Middlesex County, Massachusetts 2501745560 0 82 -82
Stoneham town, Middlesex County, Massachusetts 2501767665 5 0 5
Tewksbury town, Middlesex County, Massachusetts 2501769415 4 0 4
Wakefield town, Middlesex County, Massachusetts 2501772215 0 11 -11
Woburn city, Middlesex County, Massachusetts 2501781035 0 60 -60
Brookline town, Norfolk County, Massachusetts 2502109175 17 0 17
Franklin Town city, Norfolk County, Massachusetts 2502125172 4 9 -5
Norwood town, Norfolk County, Massachusetts 2502150250 4 0 4
Randolph Town city, Norfolk County, Massachusetts 2502156000 0 28 -28
Wellesley town, Norfolk County, Massachusetts 2502174175 0 5 -5
Westwood town, Norfolk County, Massachusetts 2502178690 23 0 23
Weymouth Town city, Norfolk County, Massachusetts 2502178972 0 15 -15
Bridgewater Town city, Plymouth County, Massachusetts 2502308130 34 0 34
Wareham town, Plymouth County, Massachusetts 2502372985 14 0 14
Boston city, Suffolk County, Massachusetts 2502507000 53 140 -87
Chelsea city, Suffolk County, Massachusetts 2502513205 13 0 13
Benzonia township, Benzie County, Michigan 2601907600 0 16 -16
Oronoko charter township, Berrien County, Michigan 2602161180 0 6 -6
Fredonia township, Calhoun County, Michigan 2602530500 0 4 -4
Sault Ste. Marie city, Chippewa County, Michigan 2603371740 28 0 28
Gladstone city, Delta County, Michigan 2604132300 20 0 20
Grand Ledge city, Eaton County, Michigan 2604533420 4 0 4
Mayfield township, Grand Traverse County, Michigan 2605552480 0 14 -14
Calumet charter township, Houghton County, Michigan 2606112600 0 10 -10
Franklin township, Houghton County, Michigan 2606130300 0 5 -5
Hancock city, Houghton County, Michigan 2606136300 0 21 -21
Hancock township, Houghton County, Michigan 2606136320 0 15 -15
Portage charter township, Houghton County, Michigan 2606165540 0 24 -24
Lansing city, Ingham County, Michigan 2606546000 0 4 -4
Mason city, Ingham County, Michigan 2606552180 0 2 -2
Mount Pleasant city, Isabella County, Michigan 2607356020 0 19 -19
Grand Rapids city, Kent County, Michigan 2608134000 30 21 9
Plainfield charter township, Kent County, Michigan 2608164660 0 12 -12
Arcadia township, Lapeer County, Michigan 2608703280 7 0 7
Glen Arbor township, Leelanau County, Michigan 2608932380 0 3 -3
Raisin township, Lenawee County, Michigan 2609166840 14 0 14
Deerfield township, Livingston County, Michigan 2609321220 0 15 -15
Chesterfield township, Macomb County, Michigan 2609915340 67 0 67
Roseville city, Macomb County, Michigan 2609969800 0 24 -24
St. Clair Shores city, Macomb County, Michigan 2609970760 0 16 -16
Warren city, Macomb County, Michigan 2609984000 0 11 -11
Forsyth township, Marquette County, Michigan 2610329720 0 16 -16
Marquette city, Marquette County, Michigan 2610351900 0 4 -4
Marquette charter township, Marquette County, Michigan 2610351920 0 17 -17
Lincoln township, Midland County, Michigan 2611147680 0 16 -16
Midland city, Midland County, Michigan 2611153780 15 0 15
Mount Haley township, Midland County, Michigan 2611155940 0 6 -6
Muskegon city, Muskegon County, Michigan 2612156320 0 26 -26
Chester township, Otsego County, Michigan 2613715280 0 6 -6
Zeeland charter township, Ottawa County, Michigan 2613989280 2 0 2
Riley township, St. Clair County, Michigan 2614768620 0 23 -23
St. Clair township, St. Clair County, Michigan 2614770700 0 13 -13
Burr Oak township, St. Joseph County, Michigan 2614911940 14 0 14
Ann Arbor city, Washtenaw County, Michigan 2616103000 0 49 -49
Lodi township, Washtenaw County, Michigan 2616149120 0 11 -11
Lyndon township, Washtenaw County, Michigan 2616149780 7 0 7
Sharon township, Washtenaw County, Michigan 2616172760 0 8 -8
Ypsilanti city, Washtenaw County, Michigan 2616189140 0 6 -6
Canton charter township, Wayne County, Michigan 2616313120 24 0 24
Detroit city, Wayne County, Michigan 2616322000 17 0 17
Inkster city, Wayne County, Michigan 2616340680 13 0 13
Columbia Heights city, Anoka County, Minnesota 2700312700 0 10 -10
Northern township, Beltrami County, Minnesota 2700746906 27 0 27
Mankato city, Blue Earth County, Minnesota 2701339878 24 0 24
Boy Lake township, Cass County, Minnesota 2702107156 0 1 -1
Moorhead city, Clay County, Minnesota 2702743864 0 3 -3
Eagan city, Dakota County, Minnesota 2703717288 40 11 29
Ashby city, Grant County, Minnesota 2705102422 0 1 -1
Brooklyn Center city, Hennepin County, Minnesota 2705307948 12 0 12
Minneapolis city, Hennepin County, Minnesota 2705343000 13 18 -5
Isanti city, Isanti County, Minnesota 2705931328 0 12 -12
Dexter city, Mower County, Minnesota 2709915886 0 2 -2
Rochester city, Olmsted County, Minnesota 2710954880 12 0 12
Salem township, Olmsted County, Minnesota 2710958234 12 0 12
St. Paul city, Ramsey County, Minnesota 2712358000 0 16 -16
Northfield city, Rice County, Minnesota 2713146924 0 4 -4
Woodbury city, Washington County, Minnesota 2716371428 0 21 -21
Monticello city, Wright County, Minnesota 2717143774 15 0 15
Montrose city, Wright County, Minnesota 2717143810 0 4 -4
Rockford township, Wright County, Minnesota 2717155024 7 0 7
Tamworth town, Carroll County, New Hampshire 3300376100 10 0 10
Bedford town, Hillsborough County, New Hampshire 3301104500 0 36 -36
Manchester city, Hillsborough County, New Hampshire 3301145140 0 24 -24
Merrimack town, Hillsborough County, New Hampshire 3301147540 0 8 -8
Concord city, Merrimack County, New Hampshire 3301314200 0 48 -48
Deerfield town, Rockingham County, New Hampshire 3301517460 0 15 -15
Dover city, Strafford County, New Hampshire 3301718820 0 25 -25
Bergenfield borough, Bergen County, New Jersey 3400305170 6 0 6
Harrington Park borough, Bergen County, New Jersey 3400330150 0 9 -9
Lumberton township, Burlington County, New Jersey 3400542060 0 14 -14
Mount Holly township, Burlington County, New Jersey 3400548900 61 5 56
North Hanover township, Burlington County, New Jersey 3400553070 18 0 18
Pemberton township, Burlington County, New Jersey 3400557510 0 68 -68
Vineland city, Cumberland County, New Jersey 3401176070 0 16 -16
Clayton borough, Gloucester County, New Jersey 3401513360 10 0 10
Elk township, Gloucester County, New Jersey 3401521060 0 35 -35
Harrison township, Gloucester County, New Jersey 3401530180 0 14 -14
Washington township, Gloucester County, New Jersey 3401577180 29 0 29
Hoboken city, Hudson County, New Jersey 3401732250 0 25 -25
Califon borough, Hunterdon County, New Jersey 3401909280 0 3 -3
Princeton, Mercer County, New Jersey 3402160900 17 0 17
Highland Park borough, Middlesex County, New Jersey 3402331470 0 34 -34
Metuchen borough, Middlesex County, New Jersey 3402345690 95 0 95
South Amboy city, Middlesex County, New Jersey 3402368550 8 0 8
Eatontown borough, Monmouth County, New Jersey 3402519840 16 0 16
Manasquan borough, Monmouth County, New Jersey 3402543050 7 0 7
Sea Bright borough, Monmouth County, New Jersey 3402566240 0 3 -3
Long Hill township, Morris County, New Jersey 3402741362 19 0 19
Brick township, Ocean County, New Jersey 3402907420 5 0 5
Stafford township, Ocean County, New Jersey 3402970320 0 103 -103
Paterson city, Passaic County, New Jersey 3403157000 0 8 -8
West Milford township, Passaic County, New Jersey 3403179460 0 10 -10
Bedminster township, Somerset County, New Jersey 3403504450 0 21 -21
Ogdensburg borough, Sussex County, New Jersey 3403754660 0 10 -10
Rahway city, Union County, New Jersey 3403961530 0 9 -9
Albany city, Albany County, New York 3600101000 9 0 9
Bronx borough, Bronx County, New York 3600508510 4 0 4
Peru town, Clinton County, New York 3601957375 0 38 -38
Saranac town, Clinton County, New York 3601965211 0 23 -23
Poughkeepsie town, Dutchess County, New York 3602759652 0 25 -25
Amherst town, Erie County, New York 3602902000 0 92 -92
Cheektowaga town, Erie County, New York 3602915011 0 49 -49
Hamburg town, Erie County, New York 3602931654 31 0 31
Santa Clara town, Franklin County, New York 3603365178 0 3 -3
Antwerp town, Jefferson County, New York 3604502297 0 10 -10
Le Ray town, Jefferson County, New York 3604542015 360 153 207
Philadelphia town, Jefferson County, New York 3604557562 0 11 -11
Rutland town, Jefferson County, New York 3604564265 0 17 -17
Watertown city, Jefferson County, New York 3604578608 57 144 -87
Brooklyn borough, Kings County, New York 3604710022 153 86 67
Cazenovia town, Madison County, New York 3605313156 0 7 -7
Chili town, Monroe County, New York 3605515462 39 0 39
Henrietta town, Monroe County, New York 3605534099 0 16 -16
Rochester city, Monroe County, New York 3605563000 0 9 -9
Hempstead town, Nassau County, New York 3605934000 4 0 4
Oyster Bay town, Nassau County, New York 3605956000 23 0 23
Manhattan borough, New York County, New York 3606144919 61 126 -65
Utica city, Oneida County, New York 3606576540 0 11 -11
Vernon town, Oneida County, New York 3606577123 25 0 25
Clay town, Onondaga County, New York 3606716067 0 45 -45
De Witt town, Onondaga County, New York 3606720478 27 0 27
Syracuse city, Onondaga County, New York 3606773000 0 13 -13
Farmington town, Ontario County, New York 3606925406 21 0 21
Highlands town, Orange County, New York 3607134550 3 0 3
Monroe town, Orange County, New York 3607147999 0 20 -20
New Windsor town, Orange County, New York 3607150848 0 94 -94
Carlton town, Orleans County, New York 3607312496 0 10 -10
Hastings town, Oswego County, New York 3607532688 54 0 54
Queens borough, Queens County, New York 3608160323 173 6 167
Rensselaer city, Rensselaer County, New York 3608361148 9 0 9
Schaghticoke town, Rensselaer County, New York 3608365486 0 7 -7
Troy city, Rensselaer County, New York 3608375484 0 8 -8
Staten Island borough, Richmond County, New York 3608570915 30 0 30
Halfmoon town, Saratoga County, New York 3609131489 52 0 52
Milton town, Saratoga County, New York 3609147537 79 0 79
Saratoga Springs city, Saratoga County, New York 3609165255 8 0 8
Stillwater town, Saratoga County, New York 3609171333 38 0 38
Prattsburgh town, Steuben County, New York 3610159718 0 6 -6
Babylon town, Suffolk County, New York 3610304000 30 0 30
Brookhaven town, Suffolk County, New York 3610310000 5 17 -12
Fremont town, Sullivan County, New York 3610527573 0 9 -9
Ithaca city, Tompkins County, New York 3610938077 0 6 -6
Kingston city, Ulster County, New York 3611139727 0 6 -6
Shawangunk town, Ulster County, New York 3611166674 6 0 6
Kingsbury town, Washington County, New York 3611539650 0 40 -40
Greenburgh town, Westchester County, New York 3611930367 10 0 10
Mount Vernon city, Westchester County, New York 3611949121 24 0 24
East Deer township, Allegheny County, Pennsylvania 4200321024 0 16 -16
Jefferson Hills borough, Allegheny County, Pennsylvania 4200337955 0 6 -6
Penn Hills township, Allegheny County, Pennsylvania 4200359032 5 0 5
Pittsburgh city, Allegheny County, Pennsylvania 4200361000 38 11 27
Pleasant Hills borough, Allegheny County, Pennsylvania 4200361328 64 0 64
Shaler township, Allegheny County, Pennsylvania 4200369584 7 0 7
Reading city, Berks County, Pennsylvania 4201163624 0 23 -23
Doylestown township, Bucks County, Pennsylvania 4201719792 10 0 10
Falls township, Bucks County, Pennsylvania 4201725112 11 0 11
Newtown township, Bucks County, Pennsylvania 4201754192 12 0 12
Northampton township, Bucks County, Pennsylvania 4201754688 81 0 81
Penndel borough, Bucks County, Pennsylvania 4201758936 0 6 -6
Plumstead township, Bucks County, Pennsylvania 4201761616 10 0 10
Solebury township, Bucks County, Pennsylvania 4201771752 0 21 -21
Wrightstown township, Bucks County, Pennsylvania 4201786624 13 0 13
Seven Fields borough, Butler County, Pennsylvania 4201969309 0 65 -65
Allegheny township, Cambria County, Pennsylvania 4202100868 0 6 -6
Loretto borough, Cambria County, Pennsylvania 4202144704 0 11 -11
Richland township, Cambria County, Pennsylvania 4202164544 0 4 -4
State College borough, Centre County, Pennsylvania 4202773808 0 178 -178
Downingtown borough, Chester County, Pennsylvania 4202919752 0 36 -36
East Coventry township, Chester County, Pennsylvania 4202921008 0 65 -65
East Vincent township, Chester County, Pennsylvania 4202922000 0 11 -11
Tredyffrin township, Chester County, Pennsylvania 4202977344 0 10 -10
West Chester borough, Chester County, Pennsylvania 4202982704 0 15 -15
West Fallowfield township, Crawford County, Pennsylvania 4203982944 0 3 -3
Susquehanna township, Dauphin County, Pennsylvania 4204375528 9 0 9
Aston township, Delaware County, Pennsylvania 4204503336 12 0 12
Radnor township, Delaware County, Pennsylvania 4204563264 9 0 9
Erie city, Erie County, Pennsylvania 4204924000 0 18 -18
Millcreek township, Erie County, Pennsylvania 4204949548 7 0 7
Connellsville township, Fayette County, Pennsylvania 4205115784 0 6 -6
Wharton township, Fayette County, Pennsylvania 4205184344 14 0 14
Brookville borough, Jefferson County, Pennsylvania 4206509224 0 40 -40
Salisbury township, Lehigh County, Pennsylvania 4207767576 0 23 -23
Fairmount township, Luzerne County, Pennsylvania 4207924752 0 4 -4
East Stroudsburg borough, Monroe County, Pennsylvania 4208921872 128 0 128
Philadelphia city, Philadelphia County, Pennsylvania 4210160000 226 34 192
North Strabane township, Washington County, Pennsylvania 4212555432 0 21 -21
New Stanton borough, Westmoreland County, Pennsylvania 4212954104 0 4 -4
Hanover borough, York County, Pennsylvania 4213332448 15 0 15
Middletown town, Newport County, Rhode Island 4400545460 52 6 46
Newport city, Newport County, Rhode Island 4400549960 22 7 15
Portsmouth town, Newport County, Rhode Island 4400557880 9 0 9
Central Falls city, Providence County, Rhode Island 4400714140 11 0 11
Providence city, Providence County, Rhode Island 4400759000 21 10 11
Woonsocket city, Providence County, Rhode Island 4400780780 19 0 19
Narragansett town, Washington County, Rhode Island 4400948340 8 0 8
Burlington city, Chittenden County, Vermont 5000710675 0 1 -1
Williston town, Chittenden County, Vermont 5000784475 0 13 -13
Rutland city, Rutland County, Vermont 5002161225 0 29 -29
Berlin town, Washington County, Vermont 5002305650 10 0 10
Waterbury town, Washington County, Vermont 5002376975 8 0 8
Madison city, Dane County, Wisconsin 5502548000 26 0 26
Eau Claire city, Eau Claire County, Wisconsin 5503522300 0 11 -11
Crandon city, Forest County, Wisconsin 5504117425 0 9 -9
Fort Atkinson city, Jefferson County, Wisconsin 5505526675 0 2 -2
Jefferson city, Jefferson County, Wisconsin 5505537900 0 7 -7
Koshkonong town, Jefferson County, Wisconsin 5505540375 0 14 -14
Lindina town, Juneau County, Wisconsin 5505744675 0 11 -11
Onalaska city, La Crosse County, Wisconsin 5506359925 0 59 -59
Washington town, La Crosse County, Wisconsin 5506383650 0 3 -3
Greenfield city, Milwaukee County, Wisconsin 5507931175 0 40 -40
Milwaukee city, Milwaukee County, Wisconsin 5507953000 0 31 -31
West Allis city, Milwaukee County, Wisconsin 5507985300 0 28 -28
Kaukauna city, Outagamie County, Wisconsin 5508738800 12 0 12
Balsam Lake village, Polk County, Wisconsin 5509504475 0 13 -13
Osceola village, Polk County, Wisconsin 5509560450 0 4 -4
Caledonia village, Racine County, Wisconsin 5510111950 12 0 12
Hudson city, St. Croix County, Wisconsin 5510936250 0 36 -36
Shawano city, Shawano County, Wisconsin 5511572925 1 0 1
Herman town, Sheboygan County, Wisconsin 5511734050 0 3 -3
Wilson town, Sheboygan County, Wisconsin 5511787500 0 16 -16
Lincoln town, Trempealeau County, Wisconsin 5512144500 0 10 -10
Pewaukee city, Waukesha County, Wisconsin 5513362240 10 0 10
Waukesha city, Waukesha County, Wisconsin 5513384250 0 15 -15

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

2. General, Social, Economic, Housing Characteristics

2.1. General Demographics - Detailed Characteristics .. goto topics
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GENERAL DEMOGRAPHIC CHARACTERISTICS (DP1) ItemCode ACS 2019
5-year
Percent 2020
Estimate
2020
Percent
2025
Projection
2025
Percent
SEX AND AGE        
.Total population D001 984,821    
..Male D002 496,066 50.4    
..Female D003 488,755 49.6    
..Sex ratio (males per 100 females) D004 101.5    
       
..Under 5 years D005 62,695 6.4    
..5 to 9 years D006 57,077 5.8    
..10 to 14 years D007 57,575 5.8    
..15 to 19 years D008 53,514 5.4    
..20 to 24 years D009 71,863 7.3    
..25 to 34 years D010 150,727 15.3    
..35 to 44 years D011 124,587 12.7    
..45 to 54 years D012 119,237 12.1    
..55 to 59 years D013 60,462 6.1    
..60 to 64 years D014 56,715 5.8    
..65 to 74 years D015 92,099 9.4    
..75 to 84 years D016 49,259 5.0    
..85 years and over D017 29,011 2.9    
       
..Median age (years) D018 37.9    
       
..Under 18 years D019 209,223 21.2    
..16 years and over D020 797,370 81.0    
..18 years and over D021 775,598 78.8    
..21 years and over D022 740,669 75.2    
..62 years and over D023 203,895 20.7    
..65 years and over D024 170,369 17.3    
       
..18 years and over D025 775,598    
...Male D026 388,553 50.1    
...Female D027 387,045 49.9    
...Sex ratio (males per 100 females) D028 100.4    
       
..65 years and over D029 170,369    
...Male D030 75,223 44.2    
...Female D031 95,146 55.8    
...Sex ratio (males per 100 females) D032 79.1    
       
RACE        
.Total population D033 984,821    
..One race D034 756,126 76.8    
..Two or more races D035 228,695 23.2    
       
..One race D036 756,126 76.8    
...White D037 206,218 20.9    
...Black or African American D038 23,603 2.4    
...American Indian and Alaska Native D039 1,900 0.2    
....Cherokee tribal grouping D040 430 0.0    
....Chippewa tribal grouping D041 28 0.0    
....Navajo tribal grouping D042 162 0.0    
....Sioux tribal grouping D043 18 0.0    
...Asian D044 420,093 42.7    
....Asian Indian D045 2,126 0.2    
....Chinese D046 51,265 5.2    
....Filipino D047 149,477 15.2    
....Japanese D048 137,756 14.0    
....Korean D049 22,845 2.3    
....Vietnamese D050 9,537 1.0    
....Other Asian D051 47,087 4.8    
...Native Hawaiian and Other Pacific Islander D052 93,980 9.5    
....Native Hawaiian D053 50,556 5.1    
....Guamanian or Chamorro D054 2,286 0.2    
....Samoan D055 12,925 1.3    
....Other Pacific Islander D056 28,213 2.9    
...Some other race D057 10,332 1.0    
..Two or more races D058 228,695 23.2    
...White and Black or African American D059 5,771 0.6    
...White and American Indian and Alaska Native D060 5,063 0.5    
...White and Asian D061 52,239 5.3    
...Black or African American and American Indian and Alaska Native D062 887 0.1    
       
Race alone or in combination with one or more other races        
.Total population D063 984,821    
..White D064 377,230 38.3    
..Black or African American D065 42,491 4.3    
..American Indian and Alaska Native D066 20,983 2.1    
..Asian D067 602,093 61.1    
..Native Hawaiian and Other Pacific Islander D068 243,068 24.7    
..Some other race D069 25,619 2.6    
       
HISPANIC OR LATINO AND RACE        
.Total population D070 984,821    
..Hispanic or Latino (of any race) D071 96,985 9.8    
...Mexican D072 28,243 2.9    
...Puerto Rican D073 30,351 3.1    
...Cuban D074 1,462 0.1    
...Other Hispanic or Latino D075 36,929 3.7    
..Not Hispanic or Latino D076 887,836 90.2    
...White alone D077 180,889 18.4    
...Black or African American alone D078 22,158 2.2    
...American Indian and Alaska Native alone D079 1,314 0.1    
...Asian alone D080 410,954 41.7    
...Native Hawaiian and Other Pacific Islander alone D081 87,966 8.9    
...Some other race alone D082 1,106 0.1    
...Two or more races D083 183,449 18.6    
....Two races including Some other race D084 1,272 0.1    
....Two races excluding Some other race, and Three or more races D085 182,177 18.5    
       
.Total housing units D086 350,571    
       
CITIZEN, VOTING AGE POPULATION        
.Citizen, 18 and over population D087 705,780    
..Male D088 361,352 51.2    
..Female D089 344,428 48.8    


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 312,795    
..Married-couple family S002 164,222 52.5    
...With own children of the householder under 18 years S003 64,140 20.5    
..Cohabiting couple household S004 16,221 5.2    
...With own children of the householder under 18 years S005 5,106 1.6    
..Male householder, no spouse/partner present S006 55,855 17.9    
...With own children of the householder under 18 years S007 2,973 1.0    
...Householder living alone S008 36,485 11.7    
....65 years and over S009 11,371 3.6    
..Female householder, no spouse/partner present S010 76,497 24.5    
...With own children of the householder under 18 years S011 10,414 3.3    
...Householder living alone S012 38,722 12.4    
....65 years and over S013 20,046 6.4    
       
..Households with one or more people under 18 years S014 101,559 32.5    
..Households with one or more people 65 years and over S015 112,763 36.1    
       
..Average household size S016 3.0    
..Average family size S017 3.6    
       
RELATIONSHIP        
.Population in households S018 948,223    
..Householder S019 312,795 33.0    
..Spouse S020 164,164 17.3    
..Unmarried partner S021 16,353 1.7    
..Child S022 271,586 28.6    
..Other relatives S023 138,722 14.6    
..Other nonrelatives S024 44,603 4.7    
       
MARITAL STATUS        
.Males 15 years and over S025 404,881    
..Never married S026 155,880 38.5    
..Now married, except separated S027 204,762 50.6    
..Separated S028 4,267 1.1    
..Widowed S029 9,752 2.4    
..Divorced S030 30,220 7.5    
       
.Females 15 years and over S031 402,593    
..Never married S032 117,917 29.3    
..Now married, except separated S033 199,652 49.6    
..Separated S034 5,154 1.3    
..Widowed S035 41,042 10.2    
..Divorced S036 38,828 9.6    
       
FERTILITY        
.Number of women 15 to 50 years old who had a birth in the past 12 months S037 14,699    
..Unmarried women (widowed, divorced, and never married) S038 3,740 25.4    
...Per 1,000 unmarried women S039 32    
..Per 1,000 women 15 to 50 years old S040 65    
..Per 1,000 women 15 to 19 years old S041 10    
..Per 1,000 women 20 to 34 years old S042 102    
..Per 1,000 women 35 to 50 years old S043 42    
       
GRANDPARENTS        
.Number of grandparents living with own grandchildren under 18 years S044 37,896    
..Grandparents responsible for grandchildren S045 7,389 19.5    
..Years responsible for grandchildren
...Less than 1 year S046 1,335 3.5    
...1 or 2 years S047 1,581 4.2    
...3 or 4 years S048 1,219 3.2    
...5 or more years S049 3,254 8.6    
       
.Number of grandparents responsible for own grandchildren under 18 years S050 7,389    
..Who are female S051 4,335 58.7    
..Who are married S052 5,642 76.4    
       
SCHOOL ENROLLMENT        
.Population 3 years and over enrolled in school S053 234,111    
..Nursery school, preschool S054 16,605 7.1    
..Kindergarten S055 10,759 4.6    
..Elementary school (grades 1-8) S056 87,990 37.6    
..High school (grades 9-12) S057 43,728 18.7    
..College or graduate school S058 75,029 32.0    
       
EDUCATIONAL ATTAINMENT        
.Population 25 years and over S059 682,097    
..Less than 9th grade S060 26,451 3.9    
..9th to 12th grade, no diploma S061 29,063 4.3    
..High school graduate (includes equivalency) S062 176,669 25.9    
..Some college, no degree S063 138,230 20.3    
..Associate's degree S064 72,917 10.7    
..Bachelor's degree S065 156,134 22.9    
..Graduate or professional degree S066 82,633 12.1    
       
..High school graduate or higher S067 626,583 91.9    
..Bachelor's degree or higher S068 238,767 35.0    
       
VETERAN STATUS        
.Civilian population 18 years and over S069 734,809    
..Civilian veterans S070 74,480 10.1    
       
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION        
.Total Civilian Noninstitutionalized Population S071 935,813    
..With a disability S072 102,265 10.9    
       
.Under 18 years S073 209,026    
..With a disability S074 6,004 2.9    
       
.18 to 64 years S075 559,736    
..With a disability S076 41,389 7.4    
       
.65 years and over S077 167,051    
..With a disability S078 54,872 32.8    
       
RESIDENCE 1 YEAR AGO        
.Population 1 year and over S079 972,023    
..Same house S080 834,438 85.8    
..Different house in the U.S. S081 125,109 12.9    
...Same county S082 82,937 8.5    
...Different county S083 42,172 4.3    
....Same state S084 3,324 0.3    
....Different state S085 38,848 4.0    
..Abroad S086 12,476 1.3    
       
PLACE OF BIRTH        
.Total population S087 984,821    
..Native S088 790,761 80.3    
...Born in United States S089 754,954 76.7    
....State of residence S090 522,300 53.0    
....Different state S091 232,654 23.6    
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s) S092 35,807 3.6    
..Foreign born S093 194,060 19.7    
       
U.S. CITIZENSHIP STATUS        
.Foreign-born population S094 194,060    
..Naturalized U.S. citizen S095 117,754 60.7    
..Not a U.S. citizen S096 76,306 39.3    
       
YEAR OF ENTRY        
.Population born outside the United States S097 229,867    
       
..Native S098 35,807    
...Entered 2010 or later S099 8,735 24.4    
...Entered before 2010 S100 27,072 75.6    
       
..Foreign born S101 194,060    
...Entered 2010 or later S102 38,013 19.6    
...Entered before 2010 S103 156,047 80.4    
       
WORLD REGION OF BIRTH OF FOREIGN BORN        
.Foreign-born population, excluding population born at sea S104 194,060    
..Europe S105 6,730 3.5    
..Asia S106 158,709 81.8    
..Africa S107 1,032 0.5    
..Oceania S108 19,330 10.0    
..Latin America S109 6,442 3.3    
..Northern America S110 1,817 0.9    
       
LANGUAGE SPOKEN AT HOME        
.Population 5 years and over S111 922,126    
..English only S112 665,018 72.1    
..Language other than English S113 257,108 27.9    
...Speak English less than very well" " S114 121,327 13.2    
..Spanish S115 18,070 2.0    
...Speak English less than very well" " S116 3,398 0.4    
..Other Indo-European languages S117 10,716 1.2    
...Speak English less than very well" " S118 2,232 0.2    
..Asian and Pacific Islander languages S119 224,377 24.3    
...Speak English less than very well" " S120 115,102 12.5    
..Other languages S121 3,945 0.4    
...Speak English less than very well" " S122 595 0.1    
       
ANCESTRY        
.Total population S123 984,821    
..American S124 12,445 1.3    
..Arab S125 1,573 0.2    
..Czech S126 1,178 0.1    
..Danish S127 1,759 0.2    
..Dutch S128 4,208 0.4    
..English S129 32,428 3.3    
..French (except Basque) S130 10,811 1.1    
..French Canadian S131 1,644 0.2    
..German S132 50,247 5.1    
..Greek S133 1,388 0.1    
..Hungarian S134 1,499 0.2    
..Irish S135 37,677 3.8    
..Italian S136 19,379 2.0    
..Lithuanian S137 652 0.1    
..Norwegian S138 6,056 0.6    
..Polish S139 8,383 0.9    
..Portuguese S140 25,545 2.6    
..Russian S141 3,079 0.3    
..Scotch-Irish S142 3,554 0.4    
..Scottish S143 8,391 0.9    
..Slovak S144 380 0.0    
..Subsaharan African S145 2,376 0.2    
..Swedish S146 5,348 0.5    
..Swiss S147 1,011 0.1    
..Ukrainian S148 1,113 0.1    
..Welsh S149 2,322 0.2    
..West Indian (excluding Hispanic origin groups) S150 1,902 0.2    
       
COMPUTERS AND INTERNET USE        
.Total households S151 312,795    
..With a computer S152 288,038 92.1    
..With a broadband Internet subscription S153 270,784 86.6    


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 797,370    
..In labor force E002 531,051 66.6    
...Civilian labor force E003 490,262 61.5    
....Employed E004 470,749 59.0    
....Unemployed E005 19,513 2.4    
...Armed Forces E006 40,789 5.1    
..Not in labor force E007 266,319 33.4    
       
.Civilian labor force E008 490,262    
..Unemployment Rate E009 4.0    
       
.Females 16 years and over E010 397,482    
..In labor force E011 240,902 60.6    
...Civilian labor force E012 235,690 59.3    
....Employed E013 226,650 57.0    
       
.Own children of the householder under 6 years E014 70,494    
..All parents in family in labor force E015 43,567 61.8    
       
.Own children of the householder 6 to 17 years E016 126,292    
..All parents in family in labor force E017 92,078 72.9    
       
COMMUTING TO WORK        
.Workers 16 years and over E018 500,034    
..Car, truck, or van -- drove alone E019 323,443 64.7    
..Car, truck, or van -- carpooled E020 70,782 14.2    
..Public transportation (excluding taxicab) E021 40,274 8.1    
..Walked E022 27,287 5.5    
..Other means E023 18,195 3.6    
..Worked from home E024 20,053 4.0    
       
..Mean travel time to work (minutes) E025 29.1    
       
OCCUPATION        
.Civilian employed population 16 years and over E026 470,749    
..Management, business, science, and arts occupations E027 171,594 36.5    
..Service occupations E028 101,139 21.5    
..Sales and office occupations E029 111,676 23.7    
..Natural resources, construction, and maintenance occupations E030 41,689 8.9    
..Production, transportation, and material moving occupations E031 44,651 9.5    
       
INDUSTRY        
.Civilian employed population 16 years and over E032 470,749    
..Agriculture, forestry, fishing and hunting, and mining E033 3,377 0.7    
..Construction E034 34,246 7.3    
..Manufacturing E035 15,386 3.3    
..Wholesale trade E036 10,850 2.3    
..Retail trade E037 52,914 11.2    
..Transportation and warehousing, and utilities E038 29,690 6.3    
..Information E039 7,497 1.6    
..Finance and insurance, and real estate and rental and leasing E040 32,058 6.8    
..Professional, scientific, and management, and administrative and waste management services E041 47,193 10.0    
..Educational services, and health care and social assistance E042 102,984 21.9    
..Arts, entertainment, and recreation, and accommodation and food services E043 67,995 14.4    
..Other services, except public administration E044 20,077 4.3    
..Public administration E045 46,482 9.9    
       
CLASS OF WORKER        
.Civilian employed population 16 years and over E046 470,749    
..Private wage and salary workers E047 340,850 72.4    
..Government workers E048 103,280 21.9    
..Self-employed in own not incorporated business workers E049 25,786 5.5    
..Unpaid family workers E050 833 0.2    
       
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS)        
.Total households E051 312,795    
..Less than $10,000 E052 14,731 4.7    
..$10,000 to $14,999 E053 7,593 2.4    
..$15,000 to $24,999 E054 15,824 5.1    
..$25,000 to $34,999 E055 18,466 5.9    
..$35,000 to $49,999 E056 29,885 9.6    
..$50,000 to $74,999 E057 49,482 15.8    
..$75,000 to $99,999 E058 43,349 13.9    
..$100,000 to $149,999 E059 63,266 20.2    
..$150,000 to $199,999 E060 33,400 10.7    
..$200,000 or more E061 36,799 11.8    
..Median household income (dollars) E062 85,857    
..Mean household income (dollars) E063 109,304    
       
..With earnings E064 257,148 82.2    
...Mean earnings (dollars) E065 103,183    
..With Social Security E066 107,496 34.4    
...Mean Social Security income (dollars) E067 20,367    
..With retirement income E068 81,049 25.9    
...Mean retirement income (dollars) E069 33,294    
       
..With Supplemental Security Income E070 12,430 4.0    
...Mean Supplemental Security Income (dollars) E071 9,614    
..With cash public assistance income E072 9,065 2.9    
...Mean cash public assistance income (dollars) E073 4,369    
..With Food Stamp/SNAP benefits in the past 12 months E074 28,981 9.3    
       
.Families E075 218,918    
..Less than $10,000 E076 5,181 2.4    
..$10,000 to $14,999 E077 2,651 1.2    
..$15,000 to $24,999 E078 6,712 3.1    
..$25,000 to $34,999 E079 9,611 4.4    
..$35,000 to $49,999 E080 17,915 8.2    
..$50,000 to $74,999 E081 33,270 15.2    
..$75,000 to $99,999 E082 32,675 14.9    
..$100,000 to $149,999 E083 51,424 23.5    
..$150,000 to $199,999 E084 28,336 12.9    
..$200,000 or more E085 31,143 14.2    
..Median family income (dollars) E086 101,184    
..Mean family income (dollars) E087 123,720    
       
.Per capita income (dollars) E088 36,816    
       
.Nonfamily households E089 93,877    
..Median nonfamily income (dollars) E090 49,807    
..Mean nonfamily income (dollars) E091 66,628    
       
.Median earnings for workers (dollars) E092 39,605    
.Median earnings for male full-time, year-round workers (dollars) E093 54,061    
.Median earnings for female full-time, year-round workers (dollars) E094 45,147    
       
HEALTH INSURANCE COVERAGE        
.Civilian noninstitutionalized population E095 935,813    
..With health insurance coverage E096 904,583 96.7    
...With private health insurance E097 752,289 80.4    
...With public coverage E098 301,307 32.2    
..No health insurance coverage E099 31,230 3.3    
       
.Civilian noninstitutionalized population under 19 years E100 219,516    
..No health insurance coverage E101 4,357 2.0    
       
.Civilian noninstitutionalized population 19 to 64 years E102 549,246    
..In labor force: E103 443,907    
...Employed: E104 426,713    
....With health insurance coverage E105 412,641 96.7    
.....With private health insurance E106 388,759 91.1    
.....With public coverage E107 39,749 9.3    
....No health insurance coverage E108 14,072 3.3    
...Unemployed: E109 17,194    
....With health insurance coverage E110 14,312 83.2    
.....With private health insurance E111 8,586 49.9    
.....With public coverage E112 6,240 36.3    
....No health insurance coverage E113 2,882 16.8    
..Not in labor force: E114 105,339    
...With health insurance coverage E115 95,975 91.1    
....With private health insurance E116 66,731 63.3    
....With public coverage E117 37,011 35.1    
...No health insurance coverage E118 9,364 8.9    
       
PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL        
.All families E119 5.4    
..With related children of the householder under 18 years E120 8.0    
...With related children of the householder under 5 years only E121 7.1    
..Married couple families E122 3.1    
...With related children of the householder under 18 years E123 3.6    
....With related children of the householder under 5 years only E124 2.7    
..Families with female householder, no spouse present E125 15.2    
...With related children of the householder under 18 years E126 24.7    
....With related children of the householder under 5 years only E127 31.2    
       
.All people E128 8.3    
..Under 18 years E129 10.1    
...Related children of the householder under 18 years E130 9.6    
....Related children of the householder under 5 years E131 10.5    
....Related children of the householder 5 to 17 years E132 9.3    
..18 years and over E133 7.8    
...18 to 64 years E134 7.8    
...65 years and over E135 7.8    
..People in families E136 5.4    
..Unrelated individuals 15 years and over E137 22.6    


Housing Situation.. goto topics
2.5. New Authorized Residential Construction.. goto topics
.. updated monthly based on data reported by local governments. Compare monthly data for 2020 through June 2021; next update August 28, 2021 (July 2021 data). Table below saved as c:\dede\1\15003bp.csv.
Units in StructureJan-20Feb-20Mar-20Apr-20May-20Jun-20Jul-20Aug-20Sep-20Oct-20Nov-20Dec-20
Single Family, Buildings 53 46 85 55 62 87 134 93 51 98 81 96
Single Family, Units 53 46 85 55 62 87 134 93 51 98 81 96
Single Family, Value 16,831 23,690 31,703 22,562 25,433 35,689 40,437 38,150 25,108 40,201 33,227 39,380
2 Unit, Buildings 0 0 0 0 0 0 0 0 0 0 0 0
2 Unit, Units 0 0 0 0 0 0 0 0 0 0 0 0
2 Unit, Value 0 0 0 0 0 0 0 0 0 0 0 0
3-4 Unit, Buildings 0 0 0 1 0 1 0 1 0 1 1 1
3-4 Unit, Units 0 0 0 3 0 3 0 3 0 3 4 4
3-4 Unit, Value 0 0 0 1,949 0 1,949 0 1,949 0 1,949 2,598 2,598
5+ Unit, Buildings 0 1 3 2 3 3 0 4 0 3 4 5
5+ Unit, Units 0 39 122 95 94 86 0 85 0 82 95 163
5+ Unit, Value 0 4,913 23,870 17,791 17,604 16,106 0 15,919 0 15,357 17,791 30,526

Units in StructureJan-21Feb-21Mar-21Apr-21May-21Jun-21Jul-21Aug-21Sep-21Oct-21Nov-21Dec-21
Single Family, Buildings 84 90 51 88 79 43 0 0 0 0 0 0
Single Family, Units 84 90 51 88 79 43 0 0 0 0 0 0
Single Family, Value 34,458 36,919 22,304 35,320 37,123 20,173 0 0 0 0 0 0
2 Unit, Buildings 0 0 17 0 0 0 0 0 0 0 0 0
2 Unit, Units 0 0 34 0 0 0 0 0 0 0 0 0
2 Unit, Value 0 0 5,162 0 0 0 0 0 0 0 0 0
3-4 Unit, Buildings 1 1 0 0 0 0 0 0 0 0 0 0
3-4 Unit, Units 3 3 0 0 0 0 0 0 0 0 0 0
3-4 Unit, Value 1,949 1,949 0 0 0 0 0 0 0 0 0 0
5+ Unit, Buildings 4 4 0 3 0 0 0 0 0 0 0 0
5+ Unit, Units 126 104 0 81 0 0 0 0 0 0 0 0
5+ Unit, Value 23,597 19,477 0 14,689 0 0 0 0 0 0 0 0

2.4 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 350,571    
..Occupied housing units H002 312,795 89.2    
..Vacant housing units H003 37,776 10.8    
       
..Homeowner vacancy rate H004 1.0    
..Rental vacancy rate H005 5.2    
       
UNITS IN STRUCTURE        
.Total housing units H006 350,571    
..1-unit, detached H007 156,832 44.7    
..1-unit, attached H008 40,010 11.4    
..2 units H009 6,620 1.9    
..3 or 4 units H010 14,492 4.1    
..5 to 9 units H011 23,656 6.7    
..10 to 19 units H012 18,933 5.4    
..20 or more units H013 89,325 25.5    
..Mobile home H014 576 0.2    
..Boat, RV, van, etc. H015 127 0.0    
       
YEAR STRUCTURE BUILT        
.Total housing units H016 350,571    
..Built 2014 or later H017 7,792 2.2    
..Built 2010 to 2013 H018 10,203 2.9    
..Built 2000 to 2009 H019 35,716 10.2    
..Built 1990 to 1999 H020 40,466 11.5    
..Built 1980 to 1989 H021 42,648 12.2    
..Built 1970 to 1979 H022 84,639 24.1    
..Built 1960 to 1969 H023 66,190 18.9    
..Built 1950 to 1959 H024 37,428 10.7    
..Built 1940 to 1949 H025 14,022 4.0    
..Built 1939 or earlier H026 11,467 3.3    
       
ROOMS        
.Total housing units H027 350,571    
..1 room H028 23,023 6.6    
..2 rooms H029 27,385 7.8    
..3 rooms H030 47,938 13.7    
..4 rooms H031 70,430 20.1    
..5 rooms H032 60,665 17.3    
..6 rooms H033 50,038 14.3    
..7 rooms H034 28,693 8.2    
..8 rooms H035 19,390 5.5    
..9 rooms or more H036 23,009 6.6    
..Median rooms H037 4.6    
       
BEDROOMS        
.Total housing units H038 350,571    
..No bedroom H039 24,462 7.0    
..1 bedroom H040 44,699 12.8    
..2 bedrooms H041 92,055 26.3    
..3 bedrooms H042 112,644 32.1    
..4 bedrooms H043 56,381 16.1    
..5 or more bedrooms H044 20,330 5.8    
       
HOUSING TENURE        
.Occupied housing units H045 312,795    
..Owner-occupied H046 175,751 56.2    
..Renter-occupied H047 137,044 43.8    
       
..Average household size of owner-occupied unit H048 3.2    
..Average household size of renter-occupied unit H049 2.8    
       
YEAR HOUSEHOLDER MOVED INTO UNIT        
.Occupied housing units H050 312,795    
..Moved in 2017 or later H051 34,366 11.0    
..Moved in 2015 to 2016 H052 46,592 14.9    
..Moved in 2010 to 2014 H053 69,729 22.3    
..Moved in 2000 to 2009 H054 65,371 20.9    
..Moved in 1990 to 1999 H055 35,932 11.5    
..Moved in 1989 and earlier H056 60,805 19.4    
       
VEHICLES AVAILABLE        
.Occupied housing units H057 312,795    
..No vehicles available H058 30,214 9.7    
..1 vehicle available H059 105,967 33.9    
..2 vehicles available H060 109,909 35.1    
..3 or more vehicles available H061 66,705 21.3    
       
HOUSE HEATING FUEL        
.Occupied housing units H062 312,795    
..Utility gas H063 8,976 2.9    
..Bottled, tank, or LP gas H064 2,092 0.7    
..Electricity H065 108,630 34.7    
..Fuel oil, kerosene, etc. H066 152 0.0    
..Coal or coke H067 90 0.0    
..Wood H068 145 0.0    
..Solar energy H069 12,024 3.8    
..Other fuel H070 209 0.1    
..No fuel used H071 180,477 57.7    
       
SELECTED CHARACTERISTICS        
.Occupied housing units H072 312,795    
..Lacking complete plumbing facilities H073 1,389 0.4    
..Lacking complete kitchen facilities H074 4,369 1.4    
..No telephone service available H075 5,910 1.9    
       
OCCUPANTS PER ROOM        
.Occupied housing units H076 312,795    
..1.00 or less H077 283,622 90.7    
..1.01 to 1.50 H078 17,445 5.6    
..1.51 or more H079 11,728 3.7    
       
VALUE        
.Owner-occupied units H080 175,751    
..Less than $50,000 H081 1,255 0.7    
..$50,000 to $99,999 H082 979 0.6    
..$100,000 to $149,999 H083 1,351 0.8    
..$150,000 to $199,999 H084 1,776 1.0    
..$200,000 to $299,999 H085 8,852 5.0    
..$300,000 to $499,999 H086 34,474 19.6    
..$500,000 to $999,999 H087 95,981 54.6    
..$1,000,000 or more H088 31,083 17.7    
..Median (dollars) H089 678,200    
       
MORTGAGE STATUS        
.Owner-occupied units H090 175,751    
..Housing units with a mortgage H091 117,964 67.1    
..Housing units without a mortgage H092 57,787 32.9    
       
SELECTED MONTHLY OWNER COSTS (SMOC)        
.Housing units with a mortgage H093 117,964    
..Less than $500 H094 663 0.6    
..$500 to $999 H095 4,444 3.8    
..$1,000 to $1,499 H096 10,860 9.2    
..$1,500 to $1,999 H097 17,484 14.8    
..$2,000 to $2,499 H098 21,437 18.2    
..$2,500 to $2,999 H099 19,190 16.3    
..$3,000 or more H100 43,886 37.2    
..Median (dollars) H101 2,607    
       
.Housing units without a mortgage H102 57,787    
..Less than $250 H103 3,461 6.0    
..$250 to $399 H104 7,508 13.0    
..$400 to $599 H105 17,363 30.0    
..$600 to $799 H106 13,639 23.6    
..$800 to $999 H107 7,142 12.4    
..$1,000 or more H108 8,674 15.0    
..Median (dollars) H109 608    
       
SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI)        
.Housing units with a mortgage (excluding units where SMOCAPI cannot be computed) H110 117,338    
..Less than 20.0 percent H111 38,505 32.8    
..20.0 to 24.9 percent H112 18,496 15.8    
..25.0 to 29.9 percent H113 15,405 13.1    
..30.0 to 34.9 percent H114 11,687 10.0    
..35.0 percent or more H115 33,245 28.3    
       
..Not computed H116 626    
       
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed) H117 57,150    
..Less than 10.0 percent H118 30,118 52.7    
..10.0 to 14.9 percent H119 9,761 17.1    
..15.0 to 19.9 percent H120 4,922 8.6    
..20.0 to 24.9 percent H121 3,590 6.3    
..25.0 to 29.9 percent H122 1,926 3.4    
..30.0 to 34.9 percent H123 1,245 2.2    
..35.0 percent or more H124 5,588 9.8    
       
..Not computed H125 637    
       
GROSS RENT        
.Occupied units paying rent H126 130,665    
..Less than $500 H127 7,302 5.6    
..$500 to $999 H128 13,604 10.4    
..$1,000 to $1,499 H129 31,456 24.1    
..$1,500 to $1,999 H130 26,471 20.3    
..$2,000 to $2,499 H131 18,480 14.1    
..$2,500 to $2,999 H132 13,128 10.0    
..$3,000 or more H133 20,224 15.5    
..Median (dollars) H134 1,745    
       
..No rent paid H135 6,379    
       
GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI)        
.Occupied units paying rent (excluding units where GRAPI cannot be computed) H136 128,569    
..Less than 15.0 percent H137 12,199 9.5    
..15.0 to 19.9 percent H138 13,371 10.4    
..20.0 to 24.9 percent H139 15,027 11.7    
..25.0 to 29.9 percent H140 15,009 11.7    
..30.0 to 34.9 percent H141 12,093 9.4    
..35.0 percent or more H142 60,870 47.3    
       
..Not computed H143 8,475    


3.1 Industry by Sector Characteristics .. goto topics
Establishments, Employment, Wages QCEW -- 2021Q1
Type of owner .. 1:Federal, 2:State, 3:Local, 5:Private. Click NAICS code link for more information about this sector.
Wages showing zero: employment & wages items suppressed (disclosure). Detail file saved as c:\dede\1\qcewarea.dbf.
      Industry by Sector Characteristics
Industry NAICS Owner Estabs Estabs% Emp Emp% Wages Wages% AWW
Total, all owners 10 0 28,347 100.0 401,047 100.0 5,980,995,802 100.0 1,147
Total, Federal 10 1 189 0.7 31,777 7.9 625,678,906 10.5 1,515
Total, State 10 2 330 1.2 45,763 11.4 691,488,505 11.6 1,162
Total, Local 10 3 29 0.1 11,965 3.0 238,621,180 4.0 1,534
Total, Private 10 5 27,799 98.1 311,543 77.7 4,425,207,211 74.0 1,093
Agriculture, forestry, fishing and hunting 11 5 183 0.6 1,725 0.4 16,407,502 0.3 732
Crop production 111 5 96 0.3 1,447 0.4 13,561,922 0.2 721
Animal production 112 5 17 0.1 121 0.0 797,629 0.0 508
Forestry and logging 113 5 1 0.0 0 0.0 0 0.0 0
Fishing, hunting and trapping 114 5 60 0.2 78 0.0 1,569,616 0.0 1,541
Agriculture and forestry support activities 115 5 9 0.0 0 0.0 0 0.0 0
Mining 21 5 8 0.0 219 0.1 5,143,404 0.1 1,807
Mining, except oil and gas 212 5 7 0.0 0 0.0 0 0.0 0
Support activities for mining 213 5 1 0.0 0 0.0 0 0.0 0
Utilities 22 3 2 0.0 0 0.0 0 0.0 0
Utilities 22 5 34 0.1 2,373 0.6 64,592,519 1.1 2,094
Utilities 221 3 2 0.0 0 0.0 0 0.0 0
Utilities 221 5 34 0.1 2,373 0.6 64,592,519 1.1 2,094
Construction 23 3 1 0.0 0 0.0 0 0.0 0
Construction 23 5 2,392 8.4 26,030 6.5 509,938,059 8.5 1,507
Construction of buildings 236 5 811 2.9 7,773 1.9 160,630,047 2.7 1,590
Heavy and civil engineering construction 237 3 1 0.0 0 0.0 0 0.0 0
Heavy and civil engineering construction 237 5 176 0.6 2,880 0.7 72,757,280 1.2 1,944
Specialty trade contractors 238 5 1,405 5.0 15,378 3.8 276,550,732 4.6 1,383
Manufacturing 31-33 1 1 0.0 6,340 1.6 145,956,321 2.4 1,771
Manufacturing 31-33 5 658 2.3 8,811 2.2 105,397,281 1.8 920
Food manufacturing 311 5 215 0.8 3,891 1.0 31,262,211 0.5 618
Beverage and tobacco product manufacturing 312 5 19 0.1 731 0.2 9,554,398 0.2 1,005
Textile mills 313 5 2 0.0 0 0.0 0 0.0 0
Textile product mills 314 5 14 0.0 125 0.0 1,168,734 0.0 721
Apparel manufacturing 315 5 44 0.2 201 0.1 1,404,623 0.0 538
Leather and allied product manufacturing 316 5 2 0.0 0 0.0 0 0.0 0
Wood product manufacturing 321 5 12 0.0 102 0.0 906,960 0.0 682
Paper manufacturing 322 5 4 0.0 0 0.0 0 0.0 0
Printing and related support activities 323 5 75 0.3 380 0.1 3,150,616 0.1 637
Petroleum and coal products manufacturing 324 5 7 0.0 0 0.0 0 0.0 0
Chemical manufacturing 325 5 21 0.1 204 0.1 2,776,153 0.0 1,045
Plastics and rubber products manufacturing 326 5 17 0.1 0 0.0 0 0.0 0
Nonmetallic mineral product manufacturing 327 5 18 0.1 444 0.1 8,627,386 0.1 1,494
Fabricated metal product manufacturing 332 5 30 0.1 263 0.1 4,505,222 0.1 1,316
Machinery manufacturing 333 5 3 0.0 0 0.0 0 0.0 0
Computer and electronic product manufacturing 334 5 13 0.0 199 0.0 3,816,544 0.1 1,478
Electrical equipment and appliance manufacturing 335 5 2 0.0 0 0.0 0 0.0 0
Transportation equipment manufacturing 336 1 1 0.0 6,340 1.6 145,956,321 2.4 1,771
Transportation equipment manufacturing 336 5 32 0.1 0 0.0 0 0.0 0
Furniture and related product manufacturing 337 5 29 0.1 192 0.0 2,237,934 0.0 898
Miscellaneous manufacturing 339 5 99 0.3 542 0.1 5,288,487 0.1 751
Wholesale trade 42 5 1,591 5.6 12,565 3.1 203,658,946 3.4 1,247
Merchant wholesalers, durable goods 423 5 755 2.7 5,170 1.3 91,987,383 1.5 1,369
Merchant wholesalers, nondurable goods 424 5 607 2.1 6,816 1.7 101,840,055 1.7 1,149
Electronic markets and agents and brokers 425 5 229 0.8 579 0.1 9,831,508 0.2 1,306
Retail trade 44-45 1 20 0.1 2,222 0.6 15,200,045 0.3 526
Retail trade 44-45 5 2,853 10.1 39,819 9.9 370,882,342 6.2 716
Motor vehicle and parts dealers 441 5 203 0.7 4,452 1.1 79,746,253 1.3 1,378
Furniture and home furnishings stores 442 1 1 0.0 34 0.0 135,996 0.0 305
Furniture and home furnishings stores 442 5 88 0.3 682 0.2 8,280,470 0.1 934
Electronics and appliance stores 443 1 1 0.0 9 0.0 48,297 0.0 413
Electronics and appliance stores 443 5 80 0.3 969 0.2 12,954,935 0.2 1,028
Building material and garden supply stores 444 1 1 0.0 91 0.0 501,242 0.0 424
Building material and garden supply stores 444 5 81 0.3 2,438 0.6 22,721,038 0.4 717
Food and beverage stores 445 1 13 0.0 579 0.1 5,468,297 0.1 726
Food and beverage stores 445 5 480 1.7 9,390 2.3 70,530,735 1.2 578
Health and personal care stores 446 5 336 1.2 3,659 0.9 34,167,915 0.6 718
Gasoline stations 447 5 116 0.4 888 0.2 6,323,756 0.1 548
Clothing and clothing accessories stores 448 5 693 2.4 4,964 1.2 37,149,451 0.6 576
Sporting goods, hobby, book and music stores 451 1 1 0.0 5 0.0 34,726 0.0 501
Sporting goods, hobby, book and music stores 451 5 157 0.6 1,172 0.3 7,581,382 0.1 497
General merchandise stores 452 1 3 0.0 1,503 0.4 9,011,487 0.2 461
General merchandise stores 452 5 69 0.2 8,494 2.1 65,398,378 1.1 592
Miscellaneous store retailers 453 5 383 1.4 2,276 0.6 18,953,968 0.3 641
Nonstore retailers 454 5 167 0.6 434 0.1 7,074,061 0.1 1,255
Transportation and warehousing 48-49 1 38 0.1 2,008 0.5 37,044,681 0.6 1,419
Transportation and warehousing 48-49 3 1 0.0 0 0.0 0 0.0 0
Transportation and warehousing 48-49 5 667 2.4 16,602 4.1 286,627,673 4.8 1,328
Air transportation 481 5 47 0.2 6,387 1.6 142,350,668 2.4 1,715
Water transportation 483 5 11 0.0 721 0.2 22,675,072 0.4 2,420
Truck transportation 484 5 153 0.5 2,242 0.6 25,324,359 0.4 869
Transit and ground passenger transportation 485 3 1 0.0 0 0.0 0 0.0 0
Transit and ground passenger transportation 485 5 94 0.3 1,372 0.3 6,951,258 0.1 390
Scenic and sightseeing transportation 487 5 79 0.3 670 0.2 5,032,178 0.1 578
Support activities for transportation 488 5 208 0.7 2,942 0.7 56,316,324 0.9 1,473
Postal service 491 1 36 0.1 1,825 0.5 35,849,082 0.6 1,511
Couriers and messengers 492 5 33 0.1 1,572 0.4 19,709,510 0.3 964
Warehousing and storage 493 1 2 0.0 183 0.0 1,195,599 0.0 503
Warehousing and storage 493 5 42 0.1 697 0.2 8,268,304 0.1 912
Information 51 1 1 0.0 7 0.0 62,726 0.0 658
Information 51 2 8 0.0 340 0.1 4,413,095 0.1 997
Information 51 3 1 0.0 0 0.0 0 0.0 0
Information 51 5 646 2.3 6,834 1.7 124,474,488 2.1 1,401
Publishing industries, except Internet 511 5 160 0.6 753 0.2 12,533,830 0.2 1,281
Motion picture and sound recording industries 512 1 1 0.0 7 0.0 62,726 0.0 658
Motion picture and sound recording industries 512 5 128 0.5 2,157 0.5 22,863,457 0.4 815
Broadcasting, except Internet 515 5 34 0.1 671 0.2 10,702,320 0.2 1,228
Telecommunications 517 5 135 0.5 2,696 0.7 62,378,212 1.0 1,780
ISPs, search portals, and data processing 518 3 1 0.0 0 0.0 0 0.0 0
ISPs, search portals, and data processing 518 5 139 0.5 329 0.1 8,902,746 0.1 2,079
Other information services 519 2 8 0.0 340 0.1 4,413,095 0.1 997
Other information services 519 5 50 0.2 229 0.1 7,093,923 0.1 2,386
Finance and insurance 52 1 2 0.0 18 0.0 436,658 0.0 1,866
Finance and insurance 52 5 1,303 4.6 13,306 3.3 369,619,092 6.2 2,137
Credit intermediation and related activities 522 1 2 0.0 18 0.0 436,658 0.0 1,866
Credit intermediation and related activities 522 5 512 1.8 5,962 1.5 172,431,895 2.9 2,225
Securities, commodity contracts, investments 523 5 264 0.9 955 0.2 40,666,330 0.7 3,277
Insurance carriers and related activities 524 5 502 1.8 6,334 1.6 155,895,216 2.6 1,893
Funds, trusts, and other financial vehicles 525 5 25 0.1 55 0.0 625,651 0.0 870
Real estate and rental and leasing 53 5 1,313 4.6 7,229 1.8 125,954,913 2.1 1,340
Real estate 531 5 1,064 3.8 5,745 1.4 104,526,581 1.7 1,400
Rental and leasing services 532 5 244 0.9 0 0.0 0 0.0 0
Lessors of nonfinancial intangible assets 533 5 5 0.0 0 0.0 0 0.0 0
Professional and technical services 54 1 11 0.0 2,264 0.6 50,190,538 0.8 1,705
Professional and technical services 54 2 2 0.0 0 0.0 0 0.0 0
Professional and technical services 54 5 3,753 13.2 20,389 5.1 405,044,226 6.8 1,528
Professional and technical services 541 1 11 0.0 2,264 0.6 50,190,538 0.8 1,705
Professional and technical services 541 2 2 0.0 0 0.0 0 0.0 0
Professional and technical services 541 5 3,753 13.2 20,389 5.1 405,044,226 6.8 1,528
Management of companies and enterprises 55 5 316 1.1 7,386 1.8 180,020,864 3.0 1,875
Management of companies and enterprises 551 5 316 1.1 7,386 1.8 180,020,864 3.0 1,875
Administrative and waste services 56 2 1 0.0 0 0.0 0 0.0 0
Administrative and waste services 56 3 1 0.0 0 0.0 0 0.0 0
Administrative and waste services 56 5 1,793 6.3 23,835 5.9 242,139,708 4.0 781
Administrative and support services 561 2 1 0.0 0 0.0 0 0.0 0
Administrative and support services 561 3 1 0.0 0 0.0 0 0.0 0
Administrative and support services 561 5 1,690 6.0 22,251 5.5 215,009,633 3.6 743
Waste management and remediation services 562 5 103 0.4 1,584 0.4 27,130,075 0.5 1,317
Educational services 61 1 1 0.0 24 0.0 398,066 0.0 1,294
Educational services 61 2 163 0.6 27,884 7.0 385,471,143 6.4 1,063
Educational services 61 5 615 2.2 9,661 2.4 111,373,342 1.9 887
Educational services 611 1 1 0.0 24 0.0 398,066 0.0 1,294
Educational services 611 2 163 0.6 27,884 7.0 385,471,143 6.4 1,063
Educational services 611 5 615 2.2 9,661 2.4 111,373,342 1.9 887
Health care and social assistance 62 1 11 0.0 2,934 0.7 63,633,290 1.1 1,669
Health care and social assistance 62 2 22 0.1 1,720 0.4 32,518,874 0.5 1,454
Health care and social assistance 62 3 3 0.0 0 0.0 0 0.0 0
Health care and social assistance 62 5 3,478 12.3 52,774 13.2 805,987,857 13.5 1,175
Ambulatory health care services 621 1 3 0.0 628 0.2 13,596,811 0.2 1,666
Ambulatory health care services 621 2 2 0.0 0 0.0 0 0.0 0
Ambulatory health care services 621 3 2 0.0 0 0.0 0 0.0 0
Ambulatory health care services 621 5 2,352 8.3 22,213 5.5 391,326,632 6.5 1,355
Hospitals 622 1 2 0.0 1,891 0.5 45,994,053 0.8 1,871
Hospitals 622 2 12 0.0 1,060 0.3 24,061,646 0.4 1,747
Hospitals 622 5 15 0.1 13,725 3.4 271,223,828 4.5 1,520
Nursing and residential care facilities 623 2 4 0.0 306 0.1 5,599,903 0.1 1,406
Nursing and residential care facilities 623 5 139 0.5 6,591 1.6 65,076,792 1.1 759
Social assistance 624 1 6 0.0 415 0.1 4,042,426 0.1 750
Social assistance 624 2 4 0.0 0 0.0 0 0.0 0
Social assistance 624 3 1 0.0 0 0.0 0 0.0 0
Social assistance 624 5 972 3.4 10,244 2.6 78,360,605 1.3 588
Arts, entertainment, and recreation 71 1 13 0.0 1,484 0.4 11,983,214 0.2 621
Arts, entertainment, and recreation 71 2 1 0.0 0 0.0 0 0.0 0
Arts, entertainment, and recreation 71 3 1 0.0 0 0.0 0 0.0 0
Arts, entertainment, and recreation 71 5 392 1.4 4,291 1.1 32,767,802 0.5 587
Performing arts and spectator sports 711 2 1 0.0 0 0.0 0 0.0 0
Performing arts and spectator sports 711 3 1 0.0 0 0.0 0 0.0 0
Performing arts and spectator sports 711 5 150 0.5 367 0.1 4,192,384 0.1 879
Museums, historical sites, zoos, and parks 712 1 3 0.0 47 0.0 859,329 0.0 1,416
Museums, historical sites, zoos, and parks 712 5 32 0.1 1,092 0.3 9,402,294 0.2 663
Amusements, gambling, and recreation 713 1 10 0.0 1,437 0.4 11,123,885 0.2 595
Amusements, gambling, and recreation 713 5 210 0.7 2,832 0.7 19,173,124 0.3 521
Accommodation and food services 72 1 6 0.0 949 0.2 10,843,617 0.2 879
Accommodation and food services 72 5 2,864 10.1 41,438 10.3 290,257,262 4.9 539
Accommodation 721 1 5 0.0 924 0.2 10,661,710 0.2 887
Accommodation 721 5 161 0.6 6,522 1.6 88,769,342 1.5 1,047
Food services and drinking places 722 1 1 0.0 24 0.0 181,907 0.0 575
Food services and drinking places 722 5 2,703 9.5 34,916 8.7 201,487,920 3.4 444
Other services, except public administration 81 1 2 0.0 771 0.2 6,450,460 0.1 644
Other services, except public administration 81 5 2,940 10.4 16,256 4.1 174,919,931 2.9 828
Repair and maintenance 811 1 1 0.0 38 0.0 307,569 0.0 623
Repair and maintenance 811 5 555 2.0 2,644 0.7 39,974,032 0.7 1,163
Personal and laundry services 812 5 828 2.9 4,431 1.1 30,867,611 0.5 536
Membership associations and organizations 813 1 1 0.0 733 0.2 6,142,891 0.1 645
Membership associations and organizations 813 5 1,407 5.0 9,005 2.2 102,333,233 1.7 874
Private households 814 5 150 0.5 176 0.0 1,745,055 0.0 761
Public administration 92 1 83 0.3 12,757 3.2 283,479,290 4.7 1,709
Public administration 92 2 133 0.5 13,145 3.3 235,957,114 3.9 1,381
Public administration 92 3 19 0.1 5,659 1.4 132,108,307 2.2 1,796
Executive, legislative and general government 921 1 3 0.0 131 0.0 3,442,952 0.1 2,017
Executive, legislative and general government 921 2 29 0.1 1,753 0.4 29,890,728 0.5 1,311
Executive, legislative and general government 921 3 8 0.0 643 0.2 12,953,263 0.2 1,550
Justice, public order, and safety activities 922 1 14 0.0 1,160 0.3 29,237,345 0.5 1,938
Justice, public order, and safety activities 922 2 29 0.1 3,657 0.9 69,615,564 1.2 1,464
Justice, public order, and safety activities 922 3 5 0.0 4,048 1.0 99,783,386 1.7 1,896
Administration of human resource programs 923 1 11 0.0 1,507 0.4 32,188,805 0.5 1,643
Administration of human resource programs 923 2 29 0.1 4,281 1.1 76,425,209 1.3 1,373
Administration of environmental programs 924 1 7 0.0 510 0.1 13,313,983 0.2 2,008
Administration of environmental programs 924 2 16 0.1 446 0.1 7,478,265 0.1 1,290
Community and housing program administration 925 1 1 0.0 24 0.0 670,058 0.0 2,178
Community and housing program administration 925 2 8 0.0 0 0.0 0 0.0 0
Community and housing program administration 925 3 3 0.0 0 0.0 0 0.0 0
Administration of economic programs 926 1 23 0.1 1,609 0.4 30,048,478 0.5 1,437
Administration of economic programs 926 2 20 0.1 2,274 0.6 41,139,224 0.7 1,391
Administration of economic programs 926 3 3 0.0 0 0.0 0 0.0 0
National security and international affairs 928 1 24 0.1 7,816 1.9 174,577,669 2.9 1,718
National security and international affairs 928 2 2 0.0 0 0.0 0 0.0 0

4.1 Census Tract Demographic-Economic Characteristics .. goto topics
There are 244 tracts in this county; see their characteristics in the table below. The subject matter columns in this table are customizable and based on the subject matter items file used/selected. The file C:\dede\api_items_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
15003000106 7,856 3,799 4,057 2,399 27 0 3,765 126 44 1,495 603 1,950 7,851 3,074 2,063 5,745 307 647 3,074 2,102 972 483 113,357 140,920 741,600 2,265
15003000107 2,718 1,403 1,315 725 0 6 1,209 117 15 646 178 582 2,718 862 737 1,881 123 138 862 716 146 50 136,806 145,208 944,100 2,651
15003000108 2,930 1,485 1,445 1,187 155 0 878 203 23 484 125 673 2,930 1,134 831 2,266 176 215 1,134 882 252 171 117,031 138,393 897,400 3,281
15003000110 4,064 2,107 1,957 1,144 30 0 1,788 169 0 933 208 956 4,049 1,331 1,138 2,927 211 225 1,331 1,231 100 109 138,750 155,682 901,900 3,362
15003000111 4,399 2,160 2,239 907 13 7 2,500 117 26 829 148 1,047 4,379 1,434 1,252 3,126 271 214 1,434 1,286 148 105 130,000 138,375 904,700 3,501
15003000112 5,540 2,671 2,869 1,522 0 5 2,631 372 11 999 394 1,484 5,514 1,926 1,625 4,276 368 449 1,926 1,569 357 133 127,404 141,172 832,700 3,501
15003000114 1,559 802 757 770 52 0 406 30 2 299 31 405 1,559 493 433 1,128 34 31 493 427 66 125 162,202 161,964 1,996,800 3,501
15003000200 5,433 2,848 2,585 1,240 0 0 2,660 171 5 1,357 24 1,260 5,346 1,720 1,307 4,058 333 335 1,720 1,494 226 234 131,406 151,349 945,000 2,547
15003000301 2,962 1,465 1,497 860 38 0 1,497 151 7 409 138 792 2,957 1,033 769 2,398 187 136 1,033 893 140 149 145,074 155,954 1,133,600 2,836
15003000302 2,954 1,357 1,597 381 0 10 1,527 27 14 995 64 803 2,926 897 716 2,254 206 264 897 821 76 104 143,427 143,871 1,077,500 1,826
15003000401 2,552 1,188 1,364 510 3 10 1,613 96 0 320 48 942 2,482 992 716 2,095 98 189 992 810 182 41 130,637 159,423 1,091,400 1,929
15003000402 3,633 1,774 1,859 806 0 0 2,092 0 0 735 22 1,003 3,633 1,301 1,069 2,862 123 186 1,301 1,222 79 101 160,074 181,103 1,418,600 3,501
15003000500 3,697 1,966 1,731 1,352 0 0 1,701 72 38 534 62 993 3,697 1,321 941 2,819 173 165 1,321 1,068 253 370 155,924 162,531 1,899,600 3,216
15003000600 1,456 652 804 603 20 0 530 85 7 211 49 364 1,456 504 366 1,152 33 122 504 399 105 66 129,048 175,000 2,000,001 2,515
15003000700 3,132 1,451 1,681 247 7 0 2,092 40 0 746 171 800 3,068 976 804 2,435 322 300 976 696 280 123 105,682 113,333 979,300 2,181
15003000800 3,459 1,667 1,792 636 22 15 1,887 167 20 712 108 922 3,334 1,176 800 2,772 317 281 1,176 747 429 168 100,278 120,116 1,041,200 2,080
15003000901 2,539 1,315 1,224 553 0 0 1,581 0 0 405 15 1,029 2,539 1,224 657 2,098 126 150 1,224 690 534 110 82,833 95,938 663,300 2,288
15003000902 4,291 2,244 2,047 1,227 33 0 1,736 335 22 938 269 1,243 4,183 1,448 1,091 3,419 353 223 1,448 1,101 347 161 126,970 138,316 1,151,500 2,004
15003000903 3,058 1,500 1,558 723 4 0 1,654 111 33 533 324 723 3,058 1,010 648 2,263 169 174 1,010 577 433 141 89,957 114,038 973,800 1,831
15003001000 3,394 1,625 1,769 553 54 0 1,703 87 2 995 219 824 3,263 1,063 736 2,740 391 388 1,063 762 301 111 92,050 121,250 759,800 2,255
15003001100 3,696 1,982 1,714 473 15 0 1,329 1,443 15 421 122 544 3,688 1,138 743 2,506 299 432 1,138 435 703 35 48,462 60,938 723,500 1,017
15003001201 3,184 1,758 1,426 303 10 0 1,728 306 36 801 178 693 3,184 1,061 772 2,486 357 303 1,061 503 558 156 91,797 98,438 833,500 1,466
15003001202 2,923 1,400 1,523 485 0 0 1,618 56 0 764 208 697 2,892 964 611 2,099 334 250 964 554 410 132 66,979 104,179 816,800 1,405
15003001300 4,175 1,951 2,224 670 39 23 2,415 97 41 890 358 982 4,048 1,446 908 3,221 454 558 1,446 818 628 215 71,875 86,250 802,300 1,552
15003001400 2,751 1,430 1,321 453 31 5 1,693 98 5 466 142 588 2,751 875 618 2,168 239 189 875 613 262 50 109,922 122,143 943,600 2,294
15003001500 3,586 1,745 1,841 672 1 23 1,852 232 36 770 247 780 3,580 1,191 853 2,951 367 399 1,191 623 568 158 116,358 123,938 911,400 1,580
15003001600 3,584 1,730 1,854 820 58 12 1,857 70 20 747 133 684 3,552 1,271 865 2,791 228 379 1,271 707 564 245 81,839 100,725 920,000 1,882
15003001700 1,759 746 1,013 1,006 13 3 399 43 19 276 147 432 1,759 1,000 343 1,368 72 119 1,000 657 343 662 80,714 97,614 894,100 2,235
15003001801 922 451 471 438 24 5 289 49 12 105 37 236 873 571 201 747 30 124 571 166 405 796 54,625 90,804 525,600 1,357
15003001803 2,596 1,294 1,302 1,078 68 0 1,054 72 12 312 231 581 2,596 1,629 507 2,156 188 238 1,629 505 1,124 761 49,153 87,917 421,200 1,300
15003001804 1,380 823 557 677 0 0 436 78 6 183 31 292 1,380 809 295 1,111 112 68 809 354 455 473 62,625 62,361 467,700 1,690
15003001901 214 138 76 126 0 0 46 5 0 37 17 82 214 143 51 204 10 30 143 78 65 1,889 87,798 89,345 675,000 1,358
15003001903 2,848 1,468 1,380 1,049 38 0 1,277 146 0 338 114 693 2,848 1,497 658 2,426 129 240 1,497 828 669 756 95,929 123,462 515,000 2,069
15003001904 3,405 1,865 1,540 1,603 289 0 1,018 156 60 279 145 764 3,405 2,091 818 3,006 281 270 2,091 898 1,193 1,298 64,727 118,452 516,600 1,905
15003002003 1,735 851 884 885 44 0 717 37 0 52 50 320 1,614 1,011 269 1,414 73 43 1,011 459 552 900 53,792 72,243 369,900 1,583
15003002004 1,153 624 529 509 21 0 483 30 0 110 72 196 1,153 669 252 1,017 96 134 669 255 414 401 50,234 65,500 425,700 1,614
15003002005 1,866 1,008 858 619 121 12 801 8 79 226 241 220 1,866 1,052 406 1,489 173 142 1,052 233 819 772 54,292 79,235 434,400 1,390
15003002006 1,782 833 949 674 84 0 781 131 2 110 27 317 1,782 1,059 386 1,470 172 106 1,059 456 603 747 56,750 66,500 392,800 1,632
15003002100 3,799 2,079 1,720 569 76 0 1,992 369 11 782 174 615 3,750 1,677 892 2,864 502 419 1,677 517 1,160 192 54,148 63,796 396,900 1,429
15003002201 3,722 1,851 1,871 484 78 3 1,725 731 100 601 352 694 3,670 1,834 892 2,844 398 246 1,834 507 1,327 246 56,024 78,906 525,100 1,350
15003002202 3,492 1,704 1,788 846 44 6 1,732 147 104 613 172 671 3,343 1,462 838 2,723 246 227 1,462 721 741 374 85,938 96,638 528,400 1,749
15003002300 5,897 3,032 2,865 692 5 0 3,390 563 19 1,228 478 654 5,868 2,615 1,306 4,225 509 447 2,615 812 1,803 263 51,565 64,770 377,900 1,336
15003002401 3,343 1,559 1,784 654 9 25 1,408 297 94 856 262 401 3,343 1,390 762 2,282 275 266 1,390 285 1,105 124 52,885 61,250 492,600 1,399
15003002402 3,000 1,411 1,589 396 65 10 1,774 205 26 524 251 534 3,000 1,507 661 2,332 311 283 1,507 405 1,102 130 52,371 58,713 382,300 1,361
15003002500 3,509 1,729 1,780 598 57 0 2,125 323 64 342 381 698 3,489 1,879 597 2,931 468 488 1,879 366 1,513 382 38,982 64,784 400,000 1,280
15003002600 4,236 2,243 1,993 613 110 0 2,379 397 14 723 228 846 3,790 1,839 723 3,057 490 438 1,839 628 1,211 245 56,366 72,574 390,500 1,334
15003002701 5,575 2,636 2,939 1,449 122 40 2,302 259 21 1,382 455 243 1,545 627 299 1,480 126 82 627 246 381 118 51,161 113,125 936,400 1,436
15003002702 5,009 2,317 2,692 806 26 0 2,442 445 106 1,184 556 1,029 4,627 1,898 1,017 3,578 331 404 1,898 912 986 321 77,750 91,188 766,600 1,513
15003002800 3,784 1,773 2,011 1,034 7 0 1,852 71 12 808 216 924 3,736 1,439 905 2,964 221 319 1,439 1,095 344 61 104,063 119,219 954,600 2,117
15003002900 2,415 1,226 1,189 777 16 0 1,205 57 11 349 88 425 2,376 908 630 1,737 112 110 908 435 473 24 103,214 128,362 1,114,800 1,447
15003003000 4,785 2,200 2,585 1,297 0 0 2,362 22 43 1,061 224 1,297 4,595 1,577 1,124 3,614 169 250 1,577 1,013 564 50 127,986 167,000 1,330,600 1,610
15003003101 4,292 2,229 2,063 763 0 0 2,617 102 0 810 105 1,314 4,285 1,350 1,070 3,434 326 337 1,350 1,130 220 52 121,830 134,914 1,054,100 1,538
15003003102 3,369 1,713 1,656 442 0 0 2,483 31 0 413 84 1,085 3,307 1,045 864 2,568 207 228 1,045 910 135 151 116,791 136,466 1,152,400 2,250
15003003200 743 359 384 345 0 4 240 4 0 150 4 329 743 327 178 613 16 40 327 247 80 52 115,625 188,750 1,111,400 1,603
15003003300 1,315 662 653 140 4 0 658 147 6 360 110 369 1,288 399 324 1,012 115 74 399 356 43 20 140,083 155,833 1,091,100 2,575
15003003403 5,614 2,499 3,115 1,337 299 0 2,504 434 53 987 390 1,232 5,608 2,830 1,299 4,704 506 437 2,830 1,511 1,319 322 73,551 84,606 371,500 1,424
15003003404 4,872 2,445 2,427 909 0 22 2,431 405 64 1,041 498 984 4,611 2,322 1,123 3,808 516 477 2,322 964 1,358 243 64,587 70,230 381,800 1,414
15003003405 3,470 1,659 1,811 935 69 8 1,490 295 0 673 328 707 3,470 1,844 649 2,738 206 249 1,844 564 1,280 148 60,357 88,221 428,100 1,396
15003003406 5,795 3,089 2,706 754 307 0 3,001 716 48 969 339 969 5,795 2,903 1,283 4,505 586 405 2,903 1,204 1,699 262 53,700 65,083 361,000 1,320
15003003407 898 391 507 203 0 0 570 34 0 91 34 548 825 525 201 825 64 96 525 225 300 59 80,982 109,659 472,900 1,664
15003003501 2,348 1,018 1,330 496 26 32 1,306 120 13 355 162 621 2,316 1,319 529 1,988 179 340 1,319 541 778 130 58,698 76,927 382,100 1,324
15003003502 3,869 1,732 2,137 401 92 0 2,458 385 40 493 155 1,098 3,840 2,197 747 3,275 185 492 2,197 677 1,520 207 49,712 73,828 460,300 1,261
15003003601 3,800 1,940 1,860 350 57 0 2,522 140 14 717 188 841 3,781 1,882 884 3,042 403 385 1,882 416 1,466 375 67,898 85,357 713,700 1,274
15003003603 2,854 1,359 1,495 217 106 0 2,145 91 7 288 162 882 2,854 1,735 596 2,508 318 378 1,735 461 1,274 251 32,612 58,571 364,300 1,092
15003003604 2,238 1,175 1,063 273 0 0 1,771 15 0 179 55 554 2,238 1,317 470 1,908 282 217 1,317 371 946 321 43,787 64,500 379,900 1,433
15003003700 7,159 3,432 3,727 1,276 56 0 4,309 383 216 919 335 1,386 7,070 3,486 2,041 5,791 155 324 3,486 1,801 1,685 1,485 82,500 101,403 764,000 1,973
15003003800 6,994 3,317 3,677 1,214 102 0 4,132 222 0 1,324 718 1,242 6,994 3,532 1,766 5,614 564 476 3,532 1,248 2,284 614 73,428 90,064 632,600 1,756
15003003900 283 151 132 92 4 4 117 19 0 47 12 163 283 259 14 283 49 28 259 58 201 8 25,104 -6 351,200 627
15003004000 1,265 709 556 500 31 0 458 85 15 176 112 328 1,218 709 336 1,120 89 65 709 333 376 243 74,293 135,486 499,100 1,427
15003004100 4,322 2,291 2,031 805 22 11 1,677 1,020 17 770 284 727 4,314 2,226 876 3,499 455 331 2,226 636 1,590 209 57,422 72,941 330,500 1,233
15003004200 3,267 1,567 1,700 706 12 0 1,881 54 88 526 162 768 3,267 1,830 802 2,805 240 308 1,830 1,024 806 226 72,173 104,310 407,100 1,568
15003004300 5,610 2,801 2,809 684 143 0 1,928 839 34 1,982 645 876 5,569 2,160 1,238 4,078 477 376 2,160 717 1,443 377 66,912 86,500 585,500 1,411
15003004400 5,275 2,736 2,539 385 23 0 2,196 1,257 0 1,414 224 1,159 5,270 1,521 1,100 3,858 628 600 1,521 1,241 280 185 93,438 109,868 781,100 1,498
15003004500 5,308 2,629 2,679 1,084 99 0 2,603 232 31 1,259 339 1,503 5,197 2,052 1,362 4,034 299 511 2,052 1,213 839 323 106,810 115,682 907,000 1,916
15003004600 4,010 2,045 1,965 426 11 0 2,282 68 20 1,203 115 991 3,823 1,203 957 3,097 389 317 1,203 881 322 32 141,299 178,487 1,066,400 2,135
15003004700 5,076 2,285 2,791 506 15 0 2,930 200 45 1,380 395 1,391 5,036 1,492 1,097 3,780 489 342 1,492 1,097 395 148 106,250 146,222 912,500 2,432
15003004800 7,272 3,492 3,780 490 27 0 4,753 665 0 1,337 487 1,199 6,549 1,622 1,235 5,173 696 732 1,622 1,005 617 70 109,688 115,655 824,500 1,318
15003004900 3,766 1,766 2,000 209 3 0 2,070 379 39 1,066 344 850 3,646 957 746 2,732 380 387 957 406 551 89 77,007 82,917 698,900 1,566
15003005000 4,394 2,172 2,222 632 21 10 2,881 243 18 589 322 1,287 3,912 1,508 897 3,499 445 545 1,508 653 855 103 59,767 74,901 574,300 1,283
15003005100 2,896 1,286 1,610 376 51 11 2,327 11 0 120 39 752 2,896 1,490 806 2,500 121 281 1,490 483 1,007 149 51,875 50,109 517,300 891
15003005200 2,386 1,206 1,180 175 148 0 1,727 119 30 187 92 603 2,352 1,294 615 2,005 283 378 1,294 15 1,279 192 26,136 40,822 -6 846
15003005300 3,952 1,953 1,999 364 47 0 2,088 520 50 883 240 1,005 3,925 1,541 849 2,702 468 362 1,541 98 1,443 72 37,064 50,536 341,400 1,113
15003005400 1,681 798 883 16 9 0 393 1,021 0 242 164 172 1,667 402 367 837 200 215 402 0 402 38 33,939 34,962 -6 592
15003005500 2,115 1,044 1,071 139 28 2 1,569 159 2 216 166 293 2,106 580 395 1,468 229 244 580 203 377 51 63,438 66,823 625,000 1,404
15003005600 6,852 3,432 3,420 129 46 0 5,596 124 34 923 638 1,454 6,800 1,932 1,353 5,097 794 569 1,932 692 1,240 25 44,509 60,503 698,700 993
15003005700 2,640 1,346 1,294 393 74 6 1,219 559 2 387 234 469 2,062 947 395 2,147 383 326 947 124 823 86 40,924 67,734 551,300 916
15003005800 3,081 1,608 1,473 52 0 23 2,420 222 15 349 231 668 3,081 1,041 876 2,372 289 299 1,041 410 631 0 55,991 58,438 300,700 1,056
15003005900 3,531 2,542 989 261 78 17 1,532 700 37 906 498 327 1,840 564 440 2,731 961 148 564 63 501 82 59,375 57,115 682,700 1,177
15003006000 6,470 3,226 3,244 260 22 0 5,143 669 0 376 24 1,058 6,301 1,237 1,102 4,271 645 558 1,237 574 663 145 84,107 85,472 413,700 1,379
15003006100 4,189 2,170 2,019 81 0 0 3,231 100 9 768 531 664 4,119 835 742 3,025 365 489 835 349 486 64 113,787 108,889 755,300 1,637
15003006201 6,423 2,933 3,490 345 5 0 3,604 972 13 1,484 426 935 6,309 1,512 1,178 4,224 833 819 1,512 590 922 86 63,462 67,500 594,400 1,025
15003006202 1,444 619 825 58 9 0 91 1,060 14 212 36 90 1,444 368 286 641 128 164 368 5 363 47 38,400 39,524 -6 814
15003006301 4,388 2,360 2,028 168 0 0 3,118 507 71 524 521 828 4,320 835 742 3,139 522 421 835 535 300 30 108,906 113,333 737,500 1,225
15003006302 2,954 1,379 1,575 52 0 0 790 1,401 0 711 161 429 2,866 593 521 1,558 252 374 593 151 442 72 43,155 45,170 656,600 684
15003006401 2,285 1,084 1,201 44 0 0 1,566 92 0 583 439 252 2,233 411 389 1,568 189 161 411 243 168 41 103,281 101,406 758,100 1,174
15003006402 6,709 3,287 3,422 254 98 0 4,746 456 25 1,130 505 1,391 6,565 1,446 1,246 5,201 918 865 1,446 940 506 67 100,405 100,541 724,200 2,077
15003006500 4,746 2,485 2,261 275 24 0 2,997 271 0 1,179 860 819 4,708 1,112 902 3,542 502 435 1,112 799 313 23 121,184 130,089 707,200 1,733
15003006600 644 379 265 442 79 0 55 0 36 32 72 5 404 131 120 342 77 0 131 0 131 63 119,750 133,333 -6 3,501
15003006701 5,898 2,893 3,005 624 47 0 3,657 253 96 1,221 393 1,612 5,667 1,741 1,456 4,373 542 522 1,741 1,413 328 130 106,394 116,944 888,300 2,785
15003006702 2,689 1,283 1,406 722 268 0 396 349 63 891 515 379 2,682 1,097 637 1,710 311 293 1,097 53 1,044 72 70,485 74,071 799,200 2,011
15003006802 8,329 4,226 4,103 504 52 78 5,242 866 52 1,535 541 1,573 8,104 1,646 1,463 6,024 671 719 1,646 1,148 498 24 107,209 104,688 748,000 1,774
15003006804 5,607 2,864 2,743 2,689 1,354 2 243 170 162 987 1,184 95 5,607 1,552 1,523 2,701 100 317 1,552 51 1,501 25 69,310 69,825 -6 3,263
15003006805 6,240 3,187 3,053 825 107 22 4,575 60 35 616 279 1,378 6,143 2,437 1,605 4,681 481 453 2,437 1,645 792 279 94,809 121,372 561,900 1,823
15003006806 1,877 921 956 50 0 0 1,525 7 0 295 57 668 1,852 546 457 1,475 216 233 546 517 29 33 114,583 125,750 891,900 -6
15003006808 4,786 2,454 2,332 527 154 0 2,759 252 143 951 349 774 4,786 1,980 1,144 3,436 388 475 1,980 909 1,071 211 65,455 71,774 364,100 1,528
15003006809 5,381 2,658 2,723 552 111 36 3,021 403 0 1,258 147 696 5,381 1,969 1,346 3,822 397 476 1,969 1,004 965 91 70,491 81,201 347,200 1,580
15003006900 4,102 1,922 2,180 2,436 733 21 257 62 148 445 700 30 4,102 1,137 1,094 2,052 177 91 1,137 0 1,137 86 76,875 80,313 -6 3,191
15003007000 4,427 2,406 2,021 2,153 462 9 471 158 320 854 870 0 4,427 1,599 1,347 2,480 242 93 1,599 0 1,599 74 60,491 61,101 -6 2,821
15003007100 3,359 1,762 1,597 2,095 266 28 515 0 122 333 787 1 3,354 950 908 1,567 83 98 950 0 950 36 75,652 71,413 -6 3,230
15003007302 5,595 2,819 2,776 3,912 554 0 324 8 274 523 1,277 26 5,595 1,766 1,620 2,874 151 216 1,766 8 1,758 154 76,880 79,200 -6 3,227
15003007303 433 351 82 306 46 5 29 0 47 0 71 0 0 0 0 93 55 6 0 0 0 0 -6 -6 -6 -6
15003007400 5,274 3,721 1,553 3,497 726 5 406 14 327 299 1,041 58 2,904 864 760 2,135 515 143 864 31 833 52 93,026 97,105 845,000 3,354
15003007502 753 740 13 212 73 7 101 116 14 230 108 18 12 4 4 592 254 0 4 0 4 0 -6 -6 -6 -6
15003007503 5,084 2,790 2,294 390 13 0 2,688 431 30 1,532 268 1,087 5,001 1,547 1,217 3,887 606 536 1,547 1,101 446 79 110,223 133,618 831,700 2,082
15003007504 3,299 1,577 1,722 103 55 0 893 1,352 32 864 291 482 3,296 822 645 1,972 507 473 822 251 571 22 65,125 70,859 622,900 1,094
15003007505 5,930 2,820 3,110 844 201 0 3,222 254 240 1,169 519 1,190 5,754 1,676 1,204 4,522 642 398 1,676 1,165 511 166 110,565 123,110 771,000 2,288
15003007506 986 476 510 784 23 0 23 22 5 129 35 6 986 251 235 447 0 9 251 0 251 0 127,802 128,491 -6 3,501
15003007701 4,074 1,921 2,153 771 26 12 2,023 231 101 910 678 739 4,054 1,108 871 2,700 312 388 1,108 656 452 75 89,110 89,975 699,600 2,289
15003007702 5,564 2,710 2,854 782 20 0 2,719 166 38 1,839 549 1,064 5,520 1,605 1,233 4,041 425 435 1,605 1,307 298 34 130,060 142,550 866,000 2,397
15003007804 2,217 1,088 1,129 35 24 0 1,482 15 13 648 99 606 2,217 571 467 1,665 385 261 571 480 91 21 129,338 132,375 683,200 2,539
15003007805 4,912 2,427 2,485 432 28 0 2,367 240 41 1,804 405 901 4,871 1,670 1,272 3,613 497 482 1,670 1,193 477 42 101,864 108,000 445,200 1,935
15003007807 5,605 3,164 2,441 1,180 404 19 2,883 14 54 1,051 342 657 5,605 2,765 1,250 4,131 574 415 2,765 1,023 1,742 188 69,601 83,953 376,400 1,763
15003007808 3,786 1,724 2,062 470 75 0 1,667 496 13 1,065 565 574 3,769 1,097 865 2,707 492 541 1,097 511 586 8 68,346 73,715 422,300 1,486
15003007809 3,070 1,454 1,616 275 41 0 2,179 11 12 552 137 825 3,070 1,089 886 2,451 192 199 1,089 966 123 0 118,080 137,829 758,400 2,365
15003007810 5,889 2,890 2,999 568 82 0 3,405 258 7 1,569 265 1,589 5,880 1,842 1,543 4,502 438 358 1,842 1,579 263 60 128,472 145,406 807,600 2,795
15003007811 4,652 2,338 2,314 720 169 0 2,254 271 43 1,195 302 1,132 4,640 1,631 1,265 3,575 339 385 1,631 1,331 300 259 109,250 114,489 528,600 2,457
15003008001 2,412 1,118 1,294 172 24 0 1,293 335 5 583 280 744 2,305 843 486 1,784 311 339 843 179 664 63 46,336 57,194 660,400 1,014
15003008002 3,043 1,590 1,453 258 50 0 1,837 286 34 578 298 746 2,884 782 634 2,139 337 299 782 629 153 34 105,313 111,538 659,100 1,682
15003008003 4,235 2,045 2,190 911 149 0 1,406 369 162 1,238 940 526 4,208 1,643 905 2,813 481 460 1,643 432 1,211 123 67,270 82,212 368,900 1,360
15003008005 6,411 3,236 3,175 944 64 0 2,744 475 43 2,141 541 1,729 6,397 1,863 1,544 4,884 833 873 1,863 1,668 195 137 111,531 118,750 648,000 2,390
15003008006 4,395 2,105 2,290 195 30 0 3,108 80 40 942 185 1,532 4,298 1,409 1,106 3,393 391 415 1,409 1,297 112 47 103,866 118,382 672,900 1,500
15003008007 5,635 2,705 2,930 181 0 37 3,781 162 35 1,439 257 1,837 5,594 1,560 1,304 4,264 678 602 1,560 1,363 197 12 120,943 121,408 691,800 2,087
15003008301 5,013 2,458 2,555 2,364 506 0 444 702 177 820 1,006 218 5,013 1,356 1,089 2,952 176 254 1,356 66 1,290 189 96,211 96,278 -6 2,808
15003008302 6,541 3,296 3,245 366 19 23 3,650 444 24 2,015 958 1,021 6,453 1,236 1,060 4,325 930 802 1,236 1,053 183 109 104,444 106,250 475,600 2,092
15003008402 7,938 3,954 3,984 826 11 0 4,285 678 40 2,098 1,018 1,216 7,799 1,785 1,488 5,415 1,055 798 1,785 1,277 508 197 99,175 101,122 602,600 1,477
15003008405 4,632 2,348 2,284 510 126 52 2,198 261 37 1,448 382 344 4,632 1,164 1,029 3,249 575 394 1,164 955 209 111 112,917 109,712 612,900 2,476
15003008406 7,073 3,426 3,647 1,445 487 0 2,542 412 95 2,092 992 410 7,073 1,749 1,606 4,059 463 432 1,749 1,344 405 8 137,839 139,740 648,200 3,501
15003008407 4,283 2,202 2,081 920 91 0 1,463 500 63 1,246 459 303 4,283 1,133 938 2,536 262 157 1,133 815 318 34 103,787 99,167 606,500 2,871
15003008408 8,870 4,460 4,410 3,445 485 66 2,599 175 50 2,050 1,066 743 8,870 2,730 2,256 5,663 323 499 2,730 2,239 491 55 124,767 136,455 715,000 3,501
15003008410 5,060 2,578 2,482 854 121 0 2,531 226 66 1,262 697 486 5,060 1,327 1,230 3,302 387 364 1,327 1,175 152 145 132,557 129,839 616,800 3,269
15003008411 3,316 1,565 1,751 338 128 0 1,477 72 177 1,124 435 324 3,316 1,115 781 2,422 391 244 1,115 739 376 71 97,623 110,481 501,200 1,748
15003008412 7,396 3,895 3,501 986 136 0 3,144 568 166 2,396 1,184 838 7,396 2,303 1,815 5,240 939 890 2,303 1,660 643 16 87,341 83,891 419,500 1,704
15003008502 2,491 1,514