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  Situation & Outlook Report
  Harris County, TX  
  .. an information resource developed by ProximityOne .. more about these resources
  .. created 11/30/22

Overview
.. examine the demographic-economic characteristics and trends enabling stakeholders to better understand the current situation and assess the outlook in a county or region of interest. Use this Situation & Outlook report, generated using the DEDE API tools and data, to gain insights and facilitate reduced risk and more successful outcomes. It advances the abilities of policy-makers, businesses and others to learn more about the how, where and when of change and how change might impact stakeholder interests and programs.

Assess the impact of climate change, migration, birth rates, workforce dynamics, infrastructure, economic sectoral shifts, health factors and housing patterns, to name a few, on communities and counties of interest. This report provides a structured set of multi-sourced data to address these topics. Different data update on different schedules; monthly, quarterly and annual. Several components may be custom structured to meet specific needs.

Summary of Selected Characteristics
.. Unless otherwise noted, these attributes are for Harris County, TX.
.. See more details using the table of contents below this summary.

Metro Counties and Population Change; 2010-2030
Harris County, TX is part of the Houston-The Woodlands-Sugar Land, TX metro/CBSA (26420).
The following table shows Metro component county population & population change:
Area NamePop
2010
Pop
2020
Pop
2021
Pop
2022
Pop
2030
Chg
2010-20
%Chg
2010-20
Chg
2020-30
%Chg
2020-30
  Austin County, TX28,37230,10930,38030,40730,6191,7376.15101.7
  Brazoria County, TX314,499373,368379,689385,481431,81758,86918.758,44915.7
  Chambers County, TX35,45247,05148,86550,73765,70911,59932.718,65839.7
  Fort Bend County, TX590,177828,632858,527885,2261,098,814238,45540.4270,18232.6
  Galveston County, TX292,492351,458355,062358,394385,04658,96620.233,5889.6
  Harris County, TX4,107,5424,732,4914,728,0304,727,6094,724,241624,94915.2-8,250-0.2
  Liberty County, TX75,87092,35197,621101,744134,72416,48121.742,37345.9
  Montgomery County, TX459,223624,938648,886669,921838,197165,71536.1213,25934.1
  Waller County, TX43,55857,34959,78162,11080,74213,79131.723,39340.8

Residential Construction. October 2022 new authorized residential construction was 3,523 total units with total value of $496,539,553 compared to October 2021 2,552 total units with total value of $477,450,814. Updated monthly. See details in Section 2.4.1. below.

Housing Units. During the period 2010 to 2020, the number of housing units changed from 1,601,832 (2010) to 1,852,914 (2020), a change of 251,082 (15.7%). See details on occupied/vacant units, tenure, value, rent and related in Section 2.4.2. below.

Population & Components of Change. During the period 2010 to 2020, the population of Harris County, TX changed from 4,107,542 (2010) to 4,738,253 (2020), a change of 630,711 (15.4%).

Components of population change during the 2010-2020 period were births 688,067, deaths 256,144, and net migration 198,489. The population natural increase, births less deaths, was 431,923.

The 7/1/20 model-based population estimate was 4,732,491 compared to the 7/1/21 model-based population estimate of 4,728,030. Components of change over the year were births 63,336, deaths 33,862, international migration 10,081, domestic migration -44,409. The net migration was -34,328. The natural increase was 29,474.

Income. The median household income changed from $50,437 in 2010 to $61,906, a change of $11,469 ( 22.7%).

Poverty. The number of people in poverty (all ages) changed from 758,916 in 2010 to 747,146, a change of -11,770 ( -1.6%). The poverty rate (all ages) changed from 18.7 in 2010 to 15.9, a change of -2.8 ( -15.0%).

Houston city .. the largest city in Harris County, TX. The 7/1/20 model-based population estimate of Houston city was 2,302,792 compared to the 7/1/21 model-based population estimate of 2,300,027, a change of -2,765 or -0.1%. See more about Houston city. See details about other cities in Section 1.2. below.

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

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

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

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

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

Harris County
YearMed HH IncAges 0-17
in Poverty
Ages 0-17
Poverty Rate
Ages 0-17
Universe
Ages 5-17
in Families
in Poverty
Ages 5-17
in Families
Poverty Rate
Ages 5-17
in Families
Universe
All Ages
in Poverty
All Ages
Poverty Rate
All Ages
Universe
2010$50,437308,58327.11,137,222204,90525.6801,825758,91618.74,064,086
2011$50,924334,57529.11,151,694222,49927.5809,634803,89519.44,134,232
2012$51,298317,91427.41,158,822215,10426.2820,451783,41918.64,205,743
2013$52,533312,78426.71,173,650215,64225.8835,872788,27618.44,289,252
2014$54,230299,27425.11,191,768207,01324.4848,727759,18417.34,393,004
2015$56,670306,72425.31,210,443211,12024.4864,483744,71216.64,487,784
2016$56,415299,33024.41,226,108206,34923.7872,270752,26116.64,539,233
2017$58,664286,55123.21,235,665192,66421.9881,559733,60515.94,601,205
2018$60,241306,89324.81,236,501211,73523.9885,395767,36716.54,646,923
2019$61,638261,50121.31,229,135179,08520.2884,608701,07515.04,660,939
2020$61,906285,92223.31,225,172198,06022.3888,727747,14615.94,685,089

Texas
YearMed HH IncAges 0-17
in Poverty
Ages 0-17
Poverty Rate
Ages 0-17
Universe
Ages 5-17
in Families
in Poverty
Ages 5-17
in Families
Poverty Rate
Ages 5-17
in Families
Universe
All Ages
in Poverty
All Ages
Poverty Rate
All Ages
Universe
2010$48,6221,746,56425.76,798,1021,177,86824.24,871,7944,411,27317.924,652,964
2011$49,3901,825,00726.66,872,6941,227,30124.94,923,5324,627,60418.525,071,118
2012$50,7471,777,17725.86,897,8741,207,45624.34,967,3154,565,18517.925,450,524
2013$51,7141,739,29825.06,953,9571,198,32223.85,028,3144,531,42717.525,834,186
2014$53,0671,721,84324.57,030,7081,185,16723.35,076,0344,519,54817.226,340,274
2015$55,6681,634,14922.97,123,9911,125,69221.95,149,2314,255,69015.926,846,185
2016$56,5831,616,08522.47,212,5321,111,48921.45,202,5784,261,29115.627,236,431
2017$59,1951,525,94421.07,279,7621,047,62519.95,263,4604,080,37714.727,676,374
2018$60,6321,543,22821.17,303,7251,070,90120.25,298,0494,181,62314.928,074,669
2019$64,0441,401,19519.27,296,060960,21918.05,322,9213,870,94413.628,361,496
2020$66,0481,373,64318.87,312,837959,88917.95,372,8033,862,71313.428,725,933

United States
YearMed HH IncAges 0-17
in Poverty
Ages 0-17
Poverty Rate
Ages 0-17
Universe
Ages 5-17
in Families
in Poverty
Ages 5-17
in Families
Poverty Rate
Ages 5-17
in Families
Universe
All Ages
in Poverty
All Ages
Poverty Rate
All Ages
Universe
2010$50,04615,749,12921.673,024,57710,484,51319.852,872,73546,215,95615.3301,535,021
2011$50,50216,386,50022.572,802,77310,976,98720.852,708,79948,452,03515.9303,778,193
2012$51,37116,396,86322.672,605,43611,086,53721.052,675,86348,760,12315.9306,086,063
2013$52,25016,086,96022.272,382,17310,958,23220.852,605,98748,810,86815.8308,196,783
2014$53,65715,686,01221.772,386,48510,714,51820.452,594,79948,208,38715.5310,899,910
2015$55,77515,000,27320.772,454,78610,245,02819.552,635,67946,153,07714.7313,476,400
2016$57,61714,115,71319.572,452,6039,648,48618.352,644,64844,268,99614.0315,165,470
2017$60,33613,353,20218.472,452,9259,120,50317.352,669,20142,583,65113.4317,741,588
2018$61,93712,997,53218.072,163,2698,930,15217.052,529,91941,852,31513.1319,184,033
2019$65,71212,000,47016.871,633,4538,258,90615.852,324,73339,490,09612.3320,118,791
2020$67,34011,204,42315.771,388,9577,798,56614.952,357,36438,371,39411.9321,478,113

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

Examine GDP components and compare Harris County, TX to other areas using this interactive table.

02. How & Why Harris County, TX is Changing .. goto topics
Harris County, TX (48201), part of Houston-The Woodlands-Sugar Land, TX MSA (26420), changed in population from 4,107,542 (2010) to 4,738,253 (2020), a change of 630,711 (15.4%).
Factors accounting the change over the decade 2010 to 2020 include:
  • Births 2010-2020: 688,067
  • Deaths 2010-2020: 256,144
  • Natural Increase 2010-2020: 431,923
  • Net Migration 2010-2020: 198,489

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

Population 7/1/20 4,732,491
  Births 6/30/19-7/1/20 61,316
  Deaths 6/30/19-7/1/20 32,000
  Natural Increase 6/30/19-7/1/20 29,316
  International Migration 6/30/19-7/1/20 1,156
  Domestic Migration 6/30/19-7/1/20 -26,460
  Net Migration 6/30/19-7/1/20 -25,304
 
Population 7/1/21 4,728,030
  Births 6/30/20-7/1/21 63,336
  Deaths 6/30/20-7/1/21 33,862
  Natural Increase 6/30/20-7/1/21 29,474
  International Migration 6/30/20-7/1/21 10,081
  Domestic Migration 6/30/20-7/1/21 -44,409
  Net Migration 6/30/20-7/1/21 -34,328

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
Harris County, TX .. 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 4,092,459 100.0 4,731,145 100.0 638,686 15.6
  One race 3,961,127 96.8 3,930,990 83.1 -30,137 -0.8
    White alone 2,318,256 56.6 1,720,356 36.4 -597,900 -25.8
    Black alone 775,492 18.9 907,063 19.2 131,571 17.0
    American India/Alaskan Native alone 27,763 0.7 55,011 1.2 27,248 98.1
    Asian alone 253,032 6.2 349,268 7.4 96,236 38.0
    Native Hawaiian and Other Pacific Islander alone 3,018 0.1 4,141 0.1 1,123 37.2
    Other race 583,566 14.3 895,151 18.9 311,585 53.4
  Two or more races 131,332 3.2 800,155 16.9 668,823 509.3
  White, Non-Hispanic 1,349,646 33.0 1,309,593 27.7 -40,053 -3.0
  Black Non-Hispanic 754,258 18.4 885,517 18.7 131,259 17.4
  Hispanic (of any race) 1,671,540 40.8 2,034,709 43.0 363,169 21.7
Total population, 18 years or older 2,944,624 72.0 3,519,584 74.4 574,960 19.5
  One race 2,866,681 70.0 2,961,904 62.6 95,223 3.3
    White alone 1,716,206 41.9 1,345,934 28.4 -370,272 -21.6
    Black alone 553,213 13.5 669,372 14.1 116,159 21.0
    American India/Alaskan Native alone 18,660 0.5 39,521 0.8 20,861 111.8
    Asian alone 196,818 4.8 279,636 5.9 82,818 42.1
    Native Hawaiian and Other Pacific Islander alone 2,137 0.1 2,961 0.1 824 38.6
    Other race 379,647 9.3 624,480 13.2 244,833 64.5
  Two or more races 77,943 1.9 557,680 11.8 479,737 615.5
  White, Non-Hispanic 1,085,630 26.5 1,075,663 22.7 -9,967 -0.9
  Black Non-Hispanic 541,108 13.2 658,135 13.9 117,027 21.6
  Hispanic (of any race) 1,082,570 26.5 1,405,353 29.7 322,783 29.8
Group Quarters population 44,524 1.1 47,997 1.0 3,473 7.8
  Group Quarters, institutionalized population 24,427 0.6 25,008 0.5 581 2.4
  Group Quarters, noninstitutionalized population 20,097 0.5 22,989 0.5 2,892 14.4
Housing Units 1,598,698 100.0 1,842,683 100.0 243,985 15.3
  Occupied 1,435,155 89.8 1,692,730 91.9 257,575 17.9
  Vacant 163,543 10.2 149,953 8.1 -13,590 -8.3


1.1 Population & Components of Change .. goto topics
Based on Census Bureau model-based population estimates, the Harris County, TX population changed from 4,107,542 in 2010 to 4,738,253 in 2020, a change of 630,711 (15.4%).
Population/Component 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Population 4,107,542 4,179,279 4,262,549 4,352,419 4,454,951 4,556,559 4,622,836 4,655,798 4,676,913 4,709,243 4,738,253
Births 16,102 66,921 66,375 67,609 70,224 72,303 73,570 70,369 67,758 66,594 66,344
Deaths 5,385 21,867 22,706 23,933 24,173 25,089 25,639 25,966 27,332 28,267 31,172
Natural Increase 10,717 45,054 43,669 43,676 46,051 47,214 47,931 44,403 40,426 38,327 35,172
Net Migration 4,108 26,759 39,759 46,165 56,452 54,532 18,433 -11,605 -19,459 -6,135 -6,412
    International 4,250 20,546 24,053 25,597 34,207 36,830 35,123 33,789 25,591 24,967 19,679
    Domestic 19,679 -142 6,213 15,706 20,568 22,245 17,702 -16,690 -45,394 -45,050 -31,102
Group Quarters 44,570 46,022 46,120 46,753 48,233 48,458 48,734 48,580 48,233 47,069 47,049

Examine population estimates/components of change and compare Harris County, TX 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
Morgan's Point city (part) 4849380 339 345 346 347 352 350 349 346 343 342  
Hunters Creek Village city 4835480 4,383 4,457 4,542 4,610 4,691 4,761 4,800 4,843 4,861 4,869  
Spring Valley Village city 4869830 3,739 3,851 3,953 4,026 4,149 4,201 4,247 4,293 4,325 4,319  
Tomball city 4873316 10,715 10,732 11,007 11,128 11,401 11,622 11,675 11,658 11,696 11,778  
League City city (part) 4841980 1,572 1,631 1,680 1,731 1,795 1,862 1,913 1,954 1,977 1,987  
Pearland city (part) 4856348 4,006 4,131 4,295 4,469 4,602 4,842 5,024 5,137 5,205 5,239  
South Houston city 4869020 17,023 17,186 17,403 17,523 17,629 17,667 17,648 17,601 17,552 17,438  
Webster city 4876948 10,643 10,789 10,914 11,060 11,144 11,180 11,134 11,147 11,156 11,451  
Baytown city (part) 4806128 67,716 67,857 69,403 71,334 71,907 72,276 72,310 72,568 72,488 73,012  
Bellaire city 4807300 16,953 17,221 17,535 18,798 17,958 18,362 18,662 18,842 18,892 18,971  
Bunker Hill Village city 4811300 3,638 3,702 3,773 3,833 3,906 3,954 3,957 3,964 3,955 3,935  
Deer Park city 4819624 32,105 32,569 33,049 33,339 33,804 33,940 34,035 33,993 33,856 33,474  
El Lago city 4823164 2,697 2,719 2,743 2,752 2,761 2,757 2,740 2,723 2,698 2,663  
Friendswood city (part) 4827648 10,414 10,605 10,830 11,026 11,204 11,346 11,405 11,474 11,527 11,499  
Galena Park city 4827996 10,910 10,990 11,078 11,118 11,159 11,147 11,086 11,008 10,891 10,757  
Hedwig Village city 4833068 2,551 2,576 2,613 2,626 2,661 2,686 2,676 2,675 2,657 2,634  
Hilshire Village city 4834148 747 756 769 776 794 807 812 817 816 808  
Houston city (part) 4835000 2,057,294 2,082,737 2,117,797 2,154,637 2,196,180 2,240,186 2,262,127 2,269,347 2,270,937 2,272,285  
Jacinto City city 4837156 10,567 10,639 10,737 10,773 10,819 10,799 10,743 10,680 10,587 10,466  
Humble city 4835348 15,149 15,312 15,502 15,567 15,679 15,728 15,709 16,060 15,989 15,824  
Jersey Village city 4837612 7,620 7,698 7,786 7,861 7,907 7,911 7,941 7,942 7,928 7,890  
Katy city (part) 4838476 11,278 11,483 11,746 12,011 12,438 12,853 13,589 14,412 15,346 17,245  
La Porte city 4841440 33,871 34,183 34,550 34,825 35,186 35,339 35,397 35,373 35,220 34,976  
Missouri City city (part) 4848804 5,606 5,680 5,765 5,839 5,982 6,169 6,204 6,257 6,260 6,276  
Nassau Bay city 4850376 4,010 4,039 4,075 4,091 4,108 4,104 4,080 4,059 4,023 3,972  
Pasadena city 4856000 149,523 151,156 152,662 153,532 154,447 154,530 154,525 153,858 152,733 151,227  
Piney Point Village city 4857800 3,148 3,181 3,232 3,279 3,358 3,399 3,418 3,435 3,446 3,444  
Seabrook city (part) 4866392 11,993 12,182 12,447 12,671 12,819 13,762 13,756 13,718 14,249 14,149  
Shoreacres city (part) 4867688 1,500 1,525 1,548 1,571 1,590 1,606 1,610 1,613 1,607 1,593  
Southside Place city 4869272 1,720 1,738 1,767 1,790 1,820 1,837 1,846 1,857 1,871 1,883  
Stafford city (part) 4869908 295 298 301 303 305 305 304 306 304 300  
Taylor Lake Village city 4871960 3,563 3,600 3,633 3,648 3,664 3,673 3,659 3,638 3,609 3,571  
Waller city (part) 4876228 442 446 450 455 458 461 495 602 601 594  
West University Place city 4877956 14,589 14,780 15,023 15,189 15,413 15,572 15,630 15,633 15,616 15,585  
Balance of Harris County 4899990 1,575,189 1,615,860 1,658,140 1,705,489 1,761,500 1,815,552 1,858,318 1,936,869 1,884,139 1,904,824  

Examine city/place population estimates and compare places in Harris County, TX to other areas using this interactive table.
.. use the county code 48201 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 1725 mover partner areas for Harris County, TX. There were a total inbound movers of 234509 and a total outbound movers of 191203, for a net movers of -10540 (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_48201.dbf.
Residence 1 Year Age Geocode Moved to 48201 Moved from 48201 Net Movers
Africa null 5860 null null
Asia null 16676 null null
Central America null 14745 null null
Caribbean null 3915 null null
Europe null 4919 null null
U.S. Island Areas null 374 null null
Northern America null 967 null null
Oceania and At Sea null 703 null null
South America null 5687 null null
Autauga County, Alabama 01001 0 8 -8
Baldwin County, Alabama 01003 49 25 24
Calhoun County, Alabama 01015 0 13 -13
Choctaw County, Alabama 01023 0 14 -14
Clarke County, Alabama 01025 0 2 -2
Coffee County, Alabama 01031 0 5 -5
Cullman County, Alabama 01043 0 23 -23
DeKalb County, Alabama 01049 0 6 -6
Etowah County, Alabama 01055 102 0 102
Houston County, Alabama 01069 0 7 -7
Jackson County, Alabama 01071 0 7 -7
Jefferson County, Alabama 01073 482 291 191
Lee County, Alabama 01081 75 120 -45
Madison County, Alabama 01089 343 206 137
Mobile County, Alabama 01097 190 205 -15
Montgomery County, Alabama 01101 26 79 -53
Morgan County, Alabama 01103 68 0 68
Pickens County, Alabama 01107 8 0 8
St. Clair County, Alabama 01115 0 94 -94
Shelby County, Alabama 01117 0 142 -142
Talladega County, Alabama 01121 20 0 20
Tuscaloosa County, Alabama 01125 86 210 -124
Walker County, Alabama 01127 13 28 -15
Washington County, Alabama 01129 0 1 -1
Aleutians West Census Area, Alaska 02016 53 0 53
Anchorage Municipality, Alaska 02020 102 217 -115
Fairbanks North Star Borough, Alaska 02090 34 14 20
Kenai Peninsula Borough, Alaska 02122 11 0 11
Matanuska-Susitna Borough, Alaska 02170 0 12 -12
Northwest Arctic Borough, Alaska 02188 37 0 37
Sitka City and Borough, Alaska 02220 0 3 -3
Apache County, Arizona 04001 197 0 197
Cochise County, Arizona 04003 0 42 -42
Coconino County, Arizona 04005 280 123 157
Maricopa County, Arizona 04013 998 899 99
Mohave County, Arizona 04015 14 0 14
Pima County, Arizona 04019 185 240 -55
Pinal County, Arizona 04021 0 28 -28
Yavapai County, Arizona 04025 40 80 -40
Yuma County, Arizona 04027 124 38 86
Benton County, Arkansas 05007 143 161 -18
Carroll County, Arkansas 05015 0 19 -19
Clark County, Arkansas 05019 0 4 -4
Cleburne County, Arkansas 05023 0 74 -74
Columbia County, Arkansas 05027 1 63 -62
Craighead County, Arkansas 05031 52 0 52
Crawford County, Arkansas 05033 0 19 -19
Crittenden County, Arkansas 05035 70 7 63
Faulkner County, Arkansas 05045 0 63 -63
Franklin County, Arkansas 05047 0 6 -6
Garland County, Arkansas 05051 33 104 -71
Hot Spring County, Arkansas 05059 33 0 33
Jefferson County, Arkansas 05069 7 26 -19
Johnson County, Arkansas 05071 0 24 -24
Lawrence County, Arkansas 05075 0 4 -4
Little River County, Arkansas 05081 0 3 -3
Logan County, Arkansas 05083 0 13 -13
Lonoke County, Arkansas 05085 0 2 -2
Miller County, Arkansas 05091 15 0 15
Mississippi County, Arkansas 05093 0 43 -43
Polk County, Arkansas 05113 54 79 -25
Pulaski County, Arkansas 05119 189 93 96
Saline County, Arkansas 05125 52 217 -165
Sebastian County, Arkansas 05131 57 146 -89
Union County, Arkansas 05139 70 0 70
Washington County, Arkansas 05143 62 242 -180
White County, Arkansas 05145 0 99 -99
Alameda County, California 06001 261 73 188
Butte County, California 06007 0 7 -7
Contra Costa County, California 06013 497 207 290
El Dorado County, California 06017 31 16 15
Fresno County, California 06019 31 115 -84
Imperial County, California 06025 66 38 28
Inyo County, California 06027 0 3 -3
Kern County, California 06029 157 290 -133
Kings County, California 06031 71 27 44
Lassen County, California 06035 0 41 -41
Los Angeles County, California 06037 3263 1250 2013
Marin County, California 06041 57 13 44
Merced County, California 06047 0 92 -92
Modoc County, California 06049 0 22 -22
Monterey County, California 06053 40 49 -9
Napa County, California 06055 24 166 -142
Orange County, California 06059 380 362 18
Placer County, California 06061 25 3 22
Riverside County, California 06065 698 204 494
Sacramento County, California 06067 43 327 -284
San Benito County, California 06069 0 9 -9
San Bernardino County, California 06071 402 476 -74
San Diego County, California 06073 840 484 356
San Francisco County, California 06075 215 378 -163
San Joaquin County, California 06077 74 262 -188
San Mateo County, California 06081 448 121 327
Santa Barbara County, California 06083 77 35 42
Santa Clara County, California 06085 251 744 -493
Santa Cruz County, California 06087 0 36 -36
Shasta County, California 06089 0 19 -19
Solano County, California 06095 11 55 -44
Sonoma County, California 06097 19 74 -55
Ventura County, California 06111 400 284 116
Yolo County, California 06113 27 27 0
Adams County, Colorado 08001 458 367 91
Arapahoe County, Colorado 08005 575 737 -162
Archuleta County, Colorado 08007 0 111 -111
Baca County, Colorado 08009 0 8 -8
Boulder County, Colorado 08013 101 218 -117
Broomfield County, Colorado 08014 34 0 34
Cheyenne County, Colorado 08017 0 4 -4
Clear Creek County, Colorado 08019 0 1 -1
Conejos County, Colorado 08021 0 5 -5
Costilla County, Colorado 08023 0 9 -9
Custer County, Colorado 08027 38 0 38
Delta County, Colorado 08029 0 48 -48
Denver County, Colorado 08031 331 457 -126
Douglas County, Colorado 08035 74 272 -198
Elbert County, Colorado 08039 0 2 -2
El Paso County, Colorado 08041 487 1248 -761
Garfield County, Colorado 08045 0 5 -5
Gunnison County, Colorado 08051 0 7 -7
Jefferson County, Colorado 08059 246 377 -131
La Plata County, Colorado 08067 0 40 -40
Larimer County, Colorado 08069 38 279 -241
Mesa County, Colorado 08077 51 28 23
Pitkin County, Colorado 08097 0 23 -23
Pueblo County, Colorado 08101 290 27 263
Rio Blanco County, Colorado 08103 0 13 -13
Summit County, Colorado 08117 11 0 11
Teller County, Colorado 08119 13 6 7
Weld County, Colorado 08123 82 22 60
Fairfield County, Connecticut 09001 253 236 17
Hartford County, Connecticut 09003 123 127 -4
Litchfield County, Connecticut 09005 0 30 -30
Middlesex County, Connecticut 09007 0 1 -1
New Haven County, Connecticut 09009 130 142 -12
New London County, Connecticut 09011 0 14 -14
Tolland County, Connecticut 09013 13 0 13
Windham County, Connecticut 09015 49 0 49
Kent County, Delaware 10001 101 8 93
New Castle County, Delaware 10003 430 75 355
Sussex County, Delaware 10005 0 115 -115
District of Columbia, District of Columbia 11001 261 494 -233
Alachua County, Florida 12001 180 99 81
Baker County, Florida 12003 70 0 70
Bay County, Florida 12005 51 65 -14
Brevard County, Florida 12009 189 178 11
Broward County, Florida 12011 277 301 -24
Charlotte County, Florida 12015 46 0 46
Citrus County, Florida 12017 39 15 24
Clay County, Florida 12019 0 218 -218
Collier County, Florida 12021 71 248 -177
Columbia County, Florida 12023 0 64 -64
Dixie County, Florida 12029 0 3 -3
Duval County, Florida 12031 242 191 51
Escambia County, Florida 12033 44 198 -154
Gilchrist County, Florida 12041 0 49 -49
Hernando County, Florida 12053 13 75 -62
Highlands County, Florida 12055 7 0 7
Hillsborough County, Florida 12057 472 440 32
Indian River County, Florida 12061 0 42 -42
Lake County, Florida 12069 56 45 11
Lee County, Florida 12071 19 46 -27
Leon County, Florida 12073 288 15 273
Manatee County, Florida 12081 33 21 12
Marion County, Florida 12083 27 109 -82
Martin County, Florida 12085 8 40 -32
Miami-Dade County, Florida 12086 2126 418 1708
Nassau County, Florida 12089 9 20 -11
Okaloosa County, Florida 12091 121 69 52
Orange County, Florida 12095 446 227 219
Osceola County, Florida 12097 0 98 -98
Palm Beach County, Florida 12099 269 247 22
Pasco County, Florida 12101 0 25 -25
Pinellas County, Florida 12103 209 75 134
Polk County, Florida 12105 226 32 194
St. Johns County, Florida 12109 18 31 -13
St. Lucie County, Florida 12111 10 14 -4
Santa Rosa County, Florida 12113 86 178 -92
Sarasota County, Florida 12115 85 0 85
Seminole County, Florida 12117 78 119 -41
Sumter County, Florida 12119 0 78 -78
Union County, Florida 12125 0 37 -37
Volusia County, Florida 12127 107 9 98
Wakulla County, Florida 12129 0 36 -36
Walton County, Florida 12131 110 68 42
Bartow County, Georgia 13015 112 0 112
Bibb County, Georgia 13021 59 0 59
Bryan County, Georgia 13029 0 56 -56
Carroll County, Georgia 13045 0 12 -12
Catoosa County, Georgia 13047 12 0 12
Chatham County, Georgia 13051 149 165 -16
Chattahoochee County, Georgia 13053 33 65 -32
Cherokee County, Georgia 13057 119 0 119
Clarke County, Georgia 13059 180 186 -6
Clayton County, Georgia 13063 15 0 15
Cobb County, Georgia 13067 0 229 -229
Coffee County, Georgia 13069 0 7 -7
Colquitt County, Georgia 13071 0 4 -4
Columbia County, Georgia 13073 366 78 288
Coweta County, Georgia 13077 0 124 -124
Dade County, Georgia 13083 0 13 -13
DeKalb County, Georgia 13089 185 659 -474
Dougherty County, Georgia 13095 0 7 -7
Effingham County, Georgia 13103 45 0 45
Fayette County, Georgia 13113 0 7 -7
Floyd County, Georgia 13115 0 16 -16
Forsyth County, Georgia 13117 64 8 56
Fulton County, Georgia 13121 768 450 318
Glynn County, Georgia 13127 0 47 -47
Gwinnett County, Georgia 13135 399 436 -37
Habersham County, Georgia 13137 0 6 -6
Hall County, Georgia 13139 0 88 -88
Haralson County, Georgia 13143 0 17 -17
Heard County, Georgia 13149 0 43 -43
Henry County, Georgia 13151 0 54 -54
Jones County, Georgia 13169 26 0 26
Liberty County, Georgia 13179 21 0 21
Long County, Georgia 13183 16 0 16
Lowndes County, Georgia 13185 0 12 -12
Lumpkin County, Georgia 13187 0 22 -22
Monroe County, Georgia 13207 16 0 16
Muscogee County, Georgia 13215 47 69 -22
Richmond County, Georgia 13245 109 79 30
Rockdale County, Georgia 13247 0 14 -14
Stewart County, Georgia 13259 0 36 -36
Troup County, Georgia 13285 10 0 10
Whitfield County, Georgia 13313 0 49 -49
Hawaii County, Hawaii 15001 7 50 -43
Honolulu County, Hawaii 15003 88 289 -201
Kauai County, Hawaii 15007 9 0 9
Maui County, Hawaii 15009 10 0 10
Ada County, Idaho 16001 20 171 -151
Bannock County, Idaho 16005 0 72 -72
Bonneville County, Idaho 16019 12 9 3
Canyon County, Idaho 16027 23 46 -23
Idaho County, Idaho 16049 0 5 -5
Kootenai County, Idaho 16055 0 9 -9
Latah County, Idaho 16057 0 27 -27
Madison County, Idaho 16065 0 22 -22
Nez Perce County, Idaho 16069 0 48 -48
Owyhee County, Idaho 16073 0 24 -24
Payette County, Idaho 16075 0 34 -34
Twin Falls County, Idaho 16083 0 3 -3
Adams County, Illinois 17001 30 0 30
Brown County, Illinois 17009 65 0 65
Champaign County, Illinois 17019 40 7 33
Christian County, Illinois 17021 0 141 -141
Cook County, Illinois 17031 1759 824 935
Crawford County, Illinois 17033 120 0 120
DeKalb County, Illinois 17037 0 46 -46
Douglas County, Illinois 17041 0 11 -11
DuPage County, Illinois 17043 104 115 -11
Edwards County, Illinois 17047 58 0 58
Fulton County, Illinois 17057 92 0 92
Grundy County, Illinois 17063 21 0 21
Kane County, Illinois 17089 92 130 -38
Kankakee County, Illinois 17091 74 14 60
Knox County, Illinois 17095 0 6 -6
Lake County, Illinois 17097 116 187 -71
LaSalle County, Illinois 17099 0 23 -23
Livingston County, Illinois 17105 0 9 -9
McHenry County, Illinois 17111 55 3 52
McLean County, Illinois 17113 35 0 35
Madison County, Illinois 17119 0 9 -9
Peoria County, Illinois 17143 45 0 45
Rock Island County, Illinois 17161 0 6 -6
Sangamon County, Illinois 17167 7 17 -10
Stephenson County, Illinois 17177 0 79 -79
Tazewell County, Illinois 17179 43 0 43
Warren County, Illinois 17187 0 22 -22
Will County, Illinois 17197 152 148 4
Allen County, Indiana 18003 0 36 -36
Brown County, Indiana 18013 13 0 13
Clark County, Indiana 18019 339 7 332
Daviess County, Indiana 18027 7 16 -9
Elkhart County, Indiana 18039 29 0 29
Hamilton County, Indiana 18057 41 67 -26
Hancock County, Indiana 18059 55 0 55
Hendricks County, Indiana 18063 0 118 -118
Howard County, Indiana 18067 0 9 -9
Johnson County, Indiana 18081 0 73 -73
Lake County, Indiana 18089 353 46 307
Marion County, Indiana 18097 51 273 -222
Monroe County, Indiana 18105 89 0 89
Noble County, Indiana 18113 0 2 -2
Porter County, Indiana 18127 0 20 -20
Putnam County, Indiana 18133 0 25 -25
St. Joseph County, Indiana 18141 0 55 -55
Steuben County, Indiana 18151 0 16 -16
Tippecanoe County, Indiana 18157 78 0 78
Vigo County, Indiana 18167 31 2 29
Wabash County, Indiana 18169 0 10 -10
Washington County, Indiana 18175 54 0 54
Wayne County, Indiana 18177 0 23 -23
Clay County, Iowa 19041 0 2 -2
Decatur County, Iowa 19053 0 3 -3
Des Moines County, Iowa 19057 0 14 -14
Greene County, Iowa 19073 0 9 -9
Henry County, Iowa 19087 0 22 -22
Jasper County, Iowa 19099 0 23 -23
Johnson County, Iowa 19103 260 29 231
Polk County, Iowa 19153 25 81 -56
Poweshiek County, Iowa 19157 0 10 -10
Scott County, Iowa 19163 21 57 -36
Story County, Iowa 19169 0 80 -80
Webster County, Iowa 19187 21 8 13
Winneshiek County, Iowa 19191 0 5 -5
Woodbury County, Iowa 19193 11 26 -15
Atchison County, Kansas 20005 0 19 -19
Barton County, Kansas 20009 0 16 -16
Butler County, Kansas 20015 215 0 215
Cowley County, Kansas 20035 0 36 -36
Crawford County, Kansas 20037 12 3 9
Douglas County, Kansas 20045 93 98 -5
Ellsworth County, Kansas 20053 0 9 -9
Finney County, Kansas 20055 0 16 -16
Geary County, Kansas 20061 0 33 -33
Grant County, Kansas 20067 35 0 35
Hodgeman County, Kansas 20083 0 10 -10
Jackson County, Kansas 20085 0 3 -3
Jefferson County, Kansas 20087 14 0 14
Johnson County, Kansas 20091 269 427 -158
Labette County, Kansas 20099 0 16 -16
Lyon County, Kansas 20111 49 0 49
McPherson County, Kansas 20113 0 2 -2
Osage County, Kansas 20139 0 18 -18
Ottawa County, Kansas 20143 16 0 16
Rice County, Kansas 20159 0 3 -3
Riley County, Kansas 20161 24 154 -130
Russell County, Kansas 20167 0 7 -7
Saline County, Kansas 20169 0 45 -45
Sedgwick County, Kansas 20173 119 88 31
Shawnee County, Kansas 20177 93 225 -132
Stafford County, Kansas 20185 0 6 -6
Wyandotte County, Kansas 20209 28 0 28
Adair County, Kentucky 21001 0 7 -7
Barren County, Kentucky 21009 30 0 30
Boone County, Kentucky 21015 11 9 2
Calloway County, Kentucky 21035 7 0 7
Carlisle County, Kentucky 21039 27 0 27
Christian County, Kentucky 21047 73 3 70
Clark County, Kentucky 21049 0 27 -27
Daviess County, Kentucky 21059 34 60 -26
Fayette County, Kentucky 21067 23 42 -19
Floyd County, Kentucky 21071 19 0 19
Graves County, Kentucky 21083 0 14 -14
Grayson County, Kentucky 21085 0 23 -23
Hopkins County, Kentucky 21107 0 35 -35
Jefferson County, Kentucky 21111 187 222 -35
Livingston County, Kentucky 21139 0 77 -77
Logan County, Kentucky 21141 0 3 -3
Meade County, Kentucky 21163 0 47 -47
Mercer County, Kentucky 21167 28 0 28
Oldham County, Kentucky 21185 12 26 -14
Scott County, Kentucky 21209 24 11 13
Warren County, Kentucky 21227 0 85 -85
Washington County, Kentucky 21229 53 0 53
Acadia Parish, Louisiana 22001 0 25 -25
Allen Parish, Louisiana 22003 11 0 11
Ascension Parish, Louisiana 22005 257 33 224
Assumption Parish, Louisiana 22007 48 0 48
Avoyelles Parish, Louisiana 22009 0 32 -32
Beauregard Parish, Louisiana 22011 0 103 -103
Bienville Parish, Louisiana 22013 49 36 13
Bossier Parish, Louisiana 22015 93 165 -72
Caddo Parish, Louisiana 22017 404 152 252
Calcasieu Parish, Louisiana 22019 390 731 -341
Claiborne Parish, Louisiana 22027 0 20 -20
Concordia Parish, Louisiana 22029 39 24 15
De Soto Parish, Louisiana 22031 0 19 -19
East Baton Rouge Parish, Louisiana 22033 1136 720 416
East Carroll Parish, Louisiana 22035 0 14 -14
East Feliciana Parish, Louisiana 22037 0 30 -30
Evangeline Parish, Louisiana 22039 0 21 -21
Franklin Parish, Louisiana 22041 28 18 10
Iberia Parish, Louisiana 22045 124 0 124
Iberville Parish, Louisiana 22047 120 8 112
Jefferson Parish, Louisiana 22051 608 417 191
Jefferson Davis Parish, Louisiana 22053 172 18 154
Lafayette Parish, Louisiana 22055 883 758 125
Lafourche Parish, Louisiana 22057 55 47 8
Lincoln Parish, Louisiana 22061 192 35 157
Livingston Parish, Louisiana 22063 23 55 -32
Natchitoches Parish, Louisiana 22069 19 259 -240
Orleans Parish, Louisiana 22071 918 805 113
Ouachita Parish, Louisiana 22073 139 101 38
Plaquemines Parish, Louisiana 22075 33 0 33
Pointe Coupee Parish, Louisiana 22077 33 0 33
Rapides Parish, Louisiana 22079 106 56 50
Red River Parish, Louisiana 22081 17 9 8
Sabine Parish, Louisiana 22085 74 0 74
St. Bernard Parish, Louisiana 22087 35 13 22
St. Charles Parish, Louisiana 22089 9 0 9
St. John the Baptist Parish, Louisiana 22095 0 98 -98
St. Landry Parish, Louisiana 22097 72 25 47
St. Martin Parish, Louisiana 22099 129 0 129
St. Mary Parish, Louisiana 22101 235 29 206
St. Tammany Parish, Louisiana 22103 296 347 -51
Tangipahoa Parish, Louisiana 22105 25 131 -106
Terrebonne Parish, Louisiana 22109 114 41 73
Union Parish, Louisiana 22111 0 55 -55
Vermilion Parish, Louisiana 22113 0 208 -208
Vernon Parish, Louisiana 22115 62 93 -31
Washington Parish, Louisiana 22117 0 60 -60
Webster Parish, Louisiana 22119 77 26 51
West Baton Rouge Parish, Louisiana 22121 0 34 -34
Winn Parish, Louisiana 22127 0 8 -8
Cumberland County, Maine 23005 0 18 -18
Lincoln County, Maine 23015 22 0 22
Penobscot County, Maine 23019 0 15 -15
Somerset County, Maine 23025 17 0 17
Washington County, Maine 23029 0 27 -27
York County, Maine 23031 51 37 14
Anne Arundel County, Maryland 24003 167 136 31
Baltimore County, Maryland 24005 384 139 245
Frederick County, Maryland 24021 22 27 -5
Harford County, Maryland 24025 16 13 3
Howard County, Maryland 24027 22 81 -59
Montgomery County, Maryland 24031 619 399 220
Prince George's County, Maryland 24033 158 141 17
Queen Anne's County, Maryland 24035 14 1 13
St. Mary's County, Maryland 24037 45 53 -8
Washington County, Maryland 24043 53 0 53
Wicomico County, Maryland 24045 47 11 36
Baltimore city, Maryland 24510 154 25 129
Berkshire County, Massachusetts 25003 18 0 18
Bristol County, Massachusetts 25005 39 17 22
Essex County, Massachusetts 25009 6 11 -5
Hampshire County, Massachusetts 25015 99 14 85
Middlesex County, Massachusetts 25017 132 463 -331
Norfolk County, Massachusetts 25021 151 175 -24
Plymouth County, Massachusetts 25023 105 0 105
Suffolk County, Massachusetts 25025 709 70 639
Worcester County, Massachusetts 25027 28 8 20
Allegan County, Michigan 26005 0 7 -7
Antrim County, Michigan 26009 0 8 -8
Bay County, Michigan 26017 0 4 -4
Berrien County, Michigan 26021 140 8 132
Calhoun County, Michigan 26025 11 0 11
Chippewa County, Michigan 26033 0 4 -4
Delta County, Michigan 26041 0 13 -13
Eaton County, Michigan 26045 50 0 50
Emmet County, Michigan 26047 38 0 38
Genesee County, Michigan 26049 4 63 -59
Grand Traverse County, Michigan 26055 20 0 20
Gratiot County, Michigan 26057 0 35 -35
Houghton County, Michigan 26061 11 0 11
Ingham County, Michigan 26065 45 58 -13
Iron County, Michigan 26071 0 14 -14
Isabella County, Michigan 26073 0 3 -3
Kalamazoo County, Michigan 26077 0 28 -28
Kent County, Michigan 26081 34 300 -266
Lenawee County, Michigan 26091 12 12 0
Livingston County, Michigan 26093 25 0 25
Mackinac County, Michigan 26097 0 17 -17
Macomb County, Michigan 26099 144 70 74
Manistee County, Michigan 26101 88 0 88
Marquette County, Michigan 26103 0 2 -2
Mecosta County, Michigan 26107 0 11 -11
Menominee County, Michigan 26109 0 2 -2
Midland County, Michigan 26111 45 26 19
Monroe County, Michigan 26115 0 16 -16
Newaygo County, Michigan 26123 0 84 -84
Oakland County, Michigan 26125 154 165 -11
Ottawa County, Michigan 26139 0 140 -140
Saginaw County, Michigan 26145 27 18 9
St. Clair County, Michigan 26147 0 48 -48
Van Buren County, Michigan 26159 11 1 10
Washtenaw County, Michigan 26161 160 117 43
Wayne County, Michigan 26163 93 171 -78
Anoka County, Minnesota 27003 82 18 64
Blue Earth County, Minnesota 27013 0 12 -12
Carver County, Minnesota 27019 0 127 -127
Clay County, Minnesota 27027 0 8 -8
Crow Wing County, Minnesota 27035 0 11 -11
Dakota County, Minnesota 27037 0 47 -47
Faribault County, Minnesota 27043 5 0 5
Hennepin County, Minnesota 27053 267 221 46
Itasca County, Minnesota 27061 0 8 -8
Jackson County, Minnesota 27063 14 23 -9
Kandiyohi County, Minnesota 27067 0 205 -205
Kittson County, Minnesota 27069 0 1 -1
Koochiching County, Minnesota 27071 0 1 -1
Lake County, Minnesota 27075 0 22 -22
Lyon County, Minnesota 27083 0 15 -15
McLeod County, Minnesota 27085 0 2 -2
Mower County, Minnesota 27099 0 2 -2
Nicollet County, Minnesota 27103 0 10 -10
Nobles County, Minnesota 27105 0 20 -20
Olmsted County, Minnesota 27109 106 0 106
Otter Tail County, Minnesota 27111 0 26 -26
Polk County, Minnesota 27119 0 7 -7
Ramsey County, Minnesota 27123 55 22 33
Rice County, Minnesota 27131 0 17 -17
St. Louis County, Minnesota 27137 97 37 60
Scott County, Minnesota 27139 0 2 -2
Stearns County, Minnesota 27145 0 6 -6
Steele County, Minnesota 27147 0 17 -17
Waseca County, Minnesota 27161 65 0 65
Washington County, Minnesota 27163 79 0 79
Benton County, Mississippi 28009 0 2 -2
Bolivar County, Mississippi 28011 62 0 62
Choctaw County, Mississippi 28019 13 0 13
Claiborne County, Mississippi 28021 0 9 -9
Copiah County, Mississippi 28029 0 45 -45
DeSoto County, Mississippi 28033 16 0 16
Forrest County, Mississippi 28035 23 44 -21
Franklin County, Mississippi 28037 0 2 -2
Greene County, Mississippi 28041 0 4 -4
Harrison County, Mississippi 28047 68 73 -5
Hinds County, Mississippi 28049 162 17 145
Holmes County, Mississippi 28051 0 6 -6
Jackson County, Mississippi 28059 51 178 -127
Jones County, Mississippi 28067 74 0 74
Kemper County, Mississippi 28069 124 0 124
Lafayette County, Mississippi 28071 44 114 -70
Lamar County, Mississippi 28073 90 116 -26
Lauderdale County, Mississippi 28075 183 37 146
Leflore County, Mississippi 28083 0 8 -8
Lincoln County, Mississippi 28085 11 1 10
Madison County, Mississippi 28089 74 30 44
Neshoba County, Mississippi 28099 0 61 -61
Oktibbeha County, Mississippi 28105 48 53 -5
Pearl River County, Mississippi 28109 7 24 -17
Perry County, Mississippi 28111 0 77 -77
Pike County, Mississippi 28113 0 8 -8
Rankin County, Mississippi 28121 0 6 -6
Sunflower County, Mississippi 28133 24 0 24
Walthall County, Mississippi 28147 0 56 -56
Warren County, Mississippi 28149 0 13 -13
Washington County, Mississippi 28151 0 31 -31
Yazoo County, Mississippi 28163 0 25 -25
Barton County, Missouri 29011 0 5 -5
Benton County, Missouri 29015 0 33 -33
Boone County, Missouri 29019 38 68 -30
Buchanan County, Missouri 29021 0 39 -39
Butler County, Missouri 29023 36 0 36
Caldwell County, Missouri 29025 0 2 -2
Cape Girardeau County, Missouri 29031 0 15 -15
Cass County, Missouri 29037 20 0 20
Clinton County, Missouri 29049 0 10 -10
Gasconade County, Missouri 29073 0 14 -14
Greene County, Missouri 29077 0 29 -29
Henry County, Missouri 29083 0 7 -7
Jackson County, Missouri 29095 234 393 -159
Jasper County, Missouri 29097 20 55 -35
Jefferson County, Missouri 29099 0 26 -26
Johnson County, Missouri 29101 0 9 -9
Lincoln County, Missouri 29113 20 0 20
Montgomery County, Missouri 29139 0 4 -4
Newton County, Missouri 29145 0 16 -16
Pemiscot County, Missouri 29155 0 40 -40
Platte County, Missouri 29165 21 20 1
Polk County, Missouri 29167 0 1 -1
Pulaski County, Missouri 29169 0 278 -278
Ray County, Missouri 29177 0 2 -2
St. Charles County, Missouri 29183 93 115 -22
St. Louis County, Missouri 29189 816 445 371
Saline County, Missouri 29195 0 4 -4
Scott County, Missouri 29201 19 0 19
Texas County, Missouri 29215 243 0 243
Warren County, Missouri 29219 0 6 -6
St. Louis city, Missouri 29510 179 76 103
Cascade County, Montana 30013 22 0 22
Dawson County, Montana 30021 0 1 -1
Flathead County, Montana 30029 0 25 -25
Gallatin County, Montana 30031 10 0 10
Lewis and Clark County, Montana 30049 9 12 -3
Missoula County, Montana 30063 21 0 21
Silver Bow County, Montana 30093 24 4 20
Yellowstone County, Montana 30111 25 0 25
Adams County, Nebraska 31001 32 0 32
Dawson County, Nebraska 31047 18 0 18
Douglas County, Nebraska 31055 292 397 -105
Hall County, Nebraska 31079 9 0 9
Harlan County, Nebraska 31083 0 2 -2
Holt County, Nebraska 31089 0 44 -44
Keith County, Nebraska 31101 0 42 -42
Lancaster County, Nebraska 31109 12 146 -134
Platte County, Nebraska 31141 0 89 -89
Sarpy County, Nebraska 31153 59 60 -1
Clark County, Nevada 32003 716 483 233
Douglas County, Nevada 32005 60 0 60
Elko County, Nevada 32007 0 43 -43
Lyon County, Nevada 32019 0 15 -15
Pershing County, Nevada 32027 0 14 -14
Storey County, Nevada 32029 0 8 -8
Washoe County, Nevada 32031 29 193 -164
Carson City, Nevada 32510 0 20 -20
Cheshire County, New Hampshire 33005 0 10 -10
Grafton County, New Hampshire 33009 19 15 4
Hillsborough County, New Hampshire 33011 0 14 -14
Merrimack County, New Hampshire 33013 0 5 -5
Strafford County, New Hampshire 33017 51 35 16
Atlantic County, New Jersey 34001 53 22 31
Bergen County, New Jersey 34003 86 133 -47
Burlington County, New Jersey 34005 0 34 -34
Cape May County, New Jersey 34009 0 11 -11
Essex County, New Jersey 34013 0 44 -44
Gloucester County, New Jersey 34015 52 0 52
Hudson County, New Jersey 34017 338 139 199
Mercer County, New Jersey 34021 13 94 -81
Middlesex County, New Jersey 34023 290 58 232
Monmouth County, New Jersey 34025 117 53 64
Morris County, New Jersey 34027 116 30 86
Passaic County, New Jersey 34031 118 27 91
Somerset County, New Jersey 34035 60 0 60
Sussex County, New Jersey 34037 0 17 -17
Union County, New Jersey 34039 0 46 -46
Bernalillo County, New Mexico 35001 188 256 -68
Curry County, New Mexico 35009 0 60 -60
Doña Ana County, New Mexico 35013 42 13 29
Eddy County, New Mexico 35015 292 68 224
Lea County, New Mexico 35025 141 30 111
Los Alamos County, New Mexico 35028 34 13 21
Luna County, New Mexico 35029 90 0 90
Otero County, New Mexico 35035 15 22 -7
Rio Arriba County, New Mexico 35039 6 1 5
Roosevelt County, New Mexico 35041 0 19 -19
Sandoval County, New Mexico 35043 65 35 30
San Juan County, New Mexico 35045 34 29 5
San Miguel County, New Mexico 35047 0 16 -16
Santa Fe County, New Mexico 35049 0 28 -28
Socorro County, New Mexico 35053 0 1 -1
Taos County, New Mexico 35055 25 0 25
Albany County, New York 36001 47 17 30
Allegany County, New York 36003 18 0 18
Bronx County, New York 36005 271 206 65
Broome County, New York 36007 47 85 -38
Chautauqua County, New York 36013 0 6 -6
Chemung County, New York 36015 78 0 78
Clinton County, New York 36019 0 10 -10
Dutchess County, New York 36027 0 10 -10
Erie County, New York 36029 252 110 142
Essex County, New York 36031 4 0 4
Fulton County, New York 36035 21 0 21
Jefferson County, New York 36045 31 21 10
Kings County, New York 36047 1180 198 982
Livingston County, New York 36051 0 17 -17
Madison County, New York 36053 3 50 -47
Monroe County, New York 36055 63 57 6
Montgomery County, New York 36057 0 5 -5
Nassau County, New York 36059 568 21 547
New York County, New York 36061 767 464 303
Niagara County, New York 36063 209 88 121
Oneida County, New York 36065 71 0 71
Onondaga County, New York 36067 0 34 -34
Ontario County, New York 36069 123 0 123
Orange County, New York 36071 0 71 -71
Oswego County, New York 36075 39 0 39
Queens County, New York 36081 201 180 21
Rensselaer County, New York 36083 14 23 -9
Richmond County, New York 36085 0 176 -176
Rockland County, New York 36087 78 0 78
Saratoga County, New York 36091 0 75 -75
Schenectady County, New York 36093 56 0 56
Seneca County, New York 36099 0 3 -3
Steuben County, New York 36101 0 16 -16
Suffolk County, New York 36103 119 45 74
Tioga County, New York 36107 0 16 -16
Tompkins County, New York 36109 0 222 -222
Ulster County, New York 36111 0 21 -21
Wayne County, New York 36117 0 15 -15
Westchester County, New York 36119 285 92 193
Wyoming County, New York 36121 0 17 -17
Alamance County, North Carolina 37001 0 184 -184
Buncombe County, North Carolina 37021 22 34 -12
Burke County, North Carolina 37023 84 13 71
Cabarrus County, North Carolina 37025 0 120 -120
Catawba County, North Carolina 37035 188 33 155
Chatham County, North Carolina 37037 48 12 36
Cherokee County, North Carolina 37039 35 0 35
Cleveland County, North Carolina 37045 0 21 -21
Craven County, North Carolina 37049 0 54 -54
Cumberland County, North Carolina 37051 17 144 -127
Davidson County, North Carolina 37057 0 83 -83
Davie County, North Carolina 37059 18 0 18
Durham County, North Carolina 37063 110 225 -115
Forsyth County, North Carolina 37067 31 78 -47
Gaston County, North Carolina 37071 107 0 107
Greene County, North Carolina 37079 41 0 41
Guilford County, North Carolina 37081 45 27 18
Harnett County, North Carolina 37085 9 21 -12
Haywood County, North Carolina 37087 0 18 -18
Henderson County, North Carolina 37089 0 63 -63
Mecklenburg County, North Carolina 37119 654 543 111
New Hanover County, North Carolina 37129 32 228 -196
Onslow County, North Carolina 37133 104 169 -65
Orange County, North Carolina 37135 35 14 21
Pamlico County, North Carolina 37137 118 0 118
Pasquotank County, North Carolina 37139 0 8 -8
Perquimans County, North Carolina 37143 0 7 -7
Randolph County, North Carolina 37151 0 73 -73
Robeson County, North Carolina 37155 106 0 106
Transylvania County, North Carolina 37175 0 7 -7
Union County, North Carolina 37179 0 9 -9
Vance County, North Carolina 37181 0 13 -13
Wake County, North Carolina 37183 321 241 80
Wayne County, North Carolina 37191 0 13 -13
Bottineau County, North Dakota 38009 0 2 -2
Burleigh County, North Dakota 38015 0 67 -67
Cass County, North Dakota 38017 0 169 -169
McKenzie County, North Dakota 38053 48 0 48
Nelson County, North Dakota 38063 0 2 -2
Stark County, North Dakota 38089 0 147 -147
Stutsman County, North Dakota 38093 0 90 -90
Traill County, North Dakota 38097 0 11 -11
Ward County, North Dakota 38101 60 40 20
Williams County, North Dakota 38105 78 67 11
Ashtabula County, Ohio 39007 0 11 -11
Athens County, Ohio 39009 22 18 4
Brown County, Ohio 39015 92 0 92
Butler County, Ohio 39017 126 54 72
Cuyahoga County, Ohio 39035 336 247 89
Delaware County, Ohio 39041 0 61 -61
Fairfield County, Ohio 39045 0 9 -9
Franklin County, Ohio 39049 541 188 353
Greene County, Ohio 39057 21 72 -51
Hamilton County, Ohio 39061 91 202 -111
Hancock County, Ohio 39063 7 0 7
Huron County, Ohio 39077 0 24 -24
Knox County, Ohio 39083 0 21 -21
Lake County, Ohio 39085 63 2 61
Lorain County, Ohio 39093 0 107 -107
Lucas County, Ohio 39095 37 152 -115
Mahoning County, Ohio 39099 94 0 94
Montgomery County, Ohio 39113 23 44 -21
Muskingum County, Ohio 39119 67 0 67
Pickaway County, Ohio 39129 0 2 -2
Portage County, Ohio 39133 0 15 -15
Stark County, Ohio 39151 0 26 -26
Summit County, Ohio 39153 129 66 63
Warren County, Ohio 39165 0 33 -33
Washington County, Ohio 39167 0 7 -7
Wayne County, Ohio 39169 28 0 28
Williams County, Ohio 39171 19 0 19
Beaver County, Oklahoma 40007 0 2 -2
Beckham County, Oklahoma 40009 0 7 -7
Blaine County, Oklahoma 40011 0 16 -16
Bryan County, Oklahoma 40013 0 38 -38
Caddo County, Oklahoma 40015 0 24 -24
Canadian County, Oklahoma 40017 0 37 -37
Carter County, Oklahoma 40019 118 0 118
Cleveland County, Oklahoma 40027 100 446 -346
Comanche County, Oklahoma 40031 0 115 -115
Craig County, Oklahoma 40035 0 6 -6
Custer County, Oklahoma 40039 0 2 -2
Delaware County, Oklahoma 40041 0 15 -15
Garfield County, Oklahoma 40047 41 3 38
Jackson County, Oklahoma 40065 0 30 -30
Kay County, Oklahoma 40071 44 31 13
Kingfisher County, Oklahoma 40073 26 0 26
Le Flore County, Oklahoma 40079 0 2 -2
Logan County, Oklahoma 40083 0 108 -108
McCurtain County, Oklahoma 40089 46 0 46
McIntosh County, Oklahoma 40091 16 18 -2
Muskogee County, Oklahoma 40101 0 5 -5
Oklahoma County, Oklahoma 40109 1215 213 1002
Osage County, Oklahoma 40113 0 50 -50
Ottawa County, Oklahoma 40115 29 15 14
Payne County, Oklahoma 40119 54 36 18
Pittsburg County, Oklahoma 40121 51 71 -20
Pottawatomie County, Oklahoma 40125 0 6 -6
Pushmataha County, Oklahoma 40127 11 0 11
Rogers County, Oklahoma 40131 0 64 -64
Seminole County, Oklahoma 40133 0 7 -7
Stephens County, Oklahoma 40137 22 7 15
Tulsa County, Oklahoma 40143 942 455 487
Wagoner County, Oklahoma 40145 599 29 570
Washington County, Oklahoma 40147 37 0 37
Benton County, Oregon 41003 0 57 -57
Clackamas County, Oregon 41005 68 77 -9
Clatsop County, Oregon 41007 0 6 -6
Columbia County, Oregon 41009 0 13 -13
Crook County, Oregon 41013 0 16 -16
Curry County, Oregon 41015 0 3 -3
Deschutes County, Oregon 41017 19 1 18
Douglas County, Oregon 41019 0 11 -11
Hood River County, Oregon 41027 0 24 -24
Jackson County, Oregon 41029 10 20 -10
Lane County, Oregon 41039 0 98 -98
Linn County, Oregon 41043 17 11 6
Marion County, Oregon 41047 42 0 42
Multnomah County, Oregon 41051 13 27 -14
Washington County, Oregon 41067 0 241 -241
Allegheny County, Pennsylvania 42003 242 205 37
Armstrong County, Pennsylvania 42005 0 7 -7
Beaver County, Pennsylvania 42007 70 20 50
Berks County, Pennsylvania 42011 75 0 75
Bucks County, Pennsylvania 42017 38 10 28
Butler County, Pennsylvania 42019 53 44 9
Centre County, Pennsylvania 42027 196 0 196
Chester County, Pennsylvania 42029 34 63 -29
Clarion County, Pennsylvania 42031 31 7 24
Clinton County, Pennsylvania 42035 62 6 56
Columbia County, Pennsylvania 42037 8 0 8
Crawford County, Pennsylvania 42039 22 10 12
Dauphin County, Pennsylvania 42043 74 73 1
Delaware County, Pennsylvania 42045 32 76 -44
Elk County, Pennsylvania 42047 0 4 -4
Erie County, Pennsylvania 42049 151 12 139
Fayette County, Pennsylvania 42051 0 41 -41
Huntingdon County, Pennsylvania 42061 0 2 -2
Lackawanna County, Pennsylvania 42069 15 38 -23
Lancaster County, Pennsylvania 42071 96 49 47
Lebanon County, Pennsylvania 42075 0 86 -86
Lehigh County, Pennsylvania 42077 125 16 109
Luzerne County, Pennsylvania 42079 29 0 29
Lycoming County, Pennsylvania 42081 0 2 -2
McKean County, Pennsylvania 42083 0 86 -86
Monroe County, Pennsylvania 42089 0 130 -130
Montgomery County, Pennsylvania 42091 89 133 -44
Northampton County, Pennsylvania 42095 49 32 17
Perry County, Pennsylvania 42099 0 11 -11
Philadelphia County, Pennsylvania 42101 392 124 268
Snyder County, Pennsylvania 42109 0 13 -13
Susquehanna County, Pennsylvania 42115 0 3 -3
Venango County, Pennsylvania 42121 0 7 -7
Washington County, Pennsylvania 42125 123 65 58
Wayne County, Pennsylvania 42127 25 0 25
Westmoreland County, Pennsylvania 42129 12 24 -12
York County, Pennsylvania 42133 25 13 12
Kent County, Rhode Island 44003 34 15 19
Providence County, Rhode Island 44007 165 83 82
Aiken County, South Carolina 45003 0 37 -37
Anderson County, South Carolina 45007 0 27 -27
Beaufort County, South Carolina 45013 0 21 -21
Berkeley County, South Carolina 45015 0 481 -481
Charleston County, South Carolina 45019 0 8 -8
Colleton County, South Carolina 45029 33 0 33
Darlington County, South Carolina 45031 0 26 -26
Dorchester County, South Carolina 45035 345 0 345
Florence County, South Carolina 45041 11 0 11
Georgetown County, South Carolina 45043 43 0 43
Greenville County, South Carolina 45045 51 127 -76
Greenwood County, South Carolina 45047 26 0 26
Horry County, South Carolina 45051 67 5 62
Jasper County, South Carolina 45053 0 61 -61
Kershaw County, South Carolina 45055 106 0 106
Lancaster County, South Carolina 45057 0 4 -4
Lexington County, South Carolina 45063 0 26 -26
Oconee County, South Carolina 45073 0 52 -52
Richland County, South Carolina 45079 61 226 -165
Spartanburg County, South Carolina 45083 0 19 -19
Sumter County, South Carolina 45085 0 12 -12
York County, South Carolina 45091 0 38 -38
Brown County, South Dakota 46013 0 27 -27
Davison County, South Dakota 46035 24 0 24
Fall River County, South Dakota 46047 0 13 -13
Hamlin County, South Dakota 46057 0 2 -2
Hand County, South Dakota 46059 0 4 -4
Lincoln County, South Dakota 46083 9 0 9
Lyman County, South Dakota 46085 0 4 -4
Minnehaha County, South Dakota 46099 34 5 29
Pennington County, South Dakota 46103 15 0 15
Roberts County, South Dakota 46109 0 20 -20
Spink County, South Dakota 46115 0 4 -4
Yankton County, South Dakota 46135 0 4 -4
Benton County, Tennessee 47005 0 23 -23
Blount County, Tennessee 47009 0 11 -11
Bradley County, Tennessee 47011 0 5 -5
Carter County, Tennessee 47019 0 63 -63
Cheatham County, Tennessee 47021 0 28 -28
Claiborne County, Tennessee 47025 36 20 16
Cocke County, Tennessee 47029 20 0 20
Davidson County, Tennessee 47037 274 331 -57
Hamblen County, Tennessee 47063 0 8 -8
Hamilton County, Tennessee 47065 31 115 -84
Hardin County, Tennessee 47071 0 3 -3
Henry County, Tennessee 47079 0 10 -10
Knox County, Tennessee 47093 98 282 -184
Maury County, Tennessee 47119 0 245 -245
Montgomery County, Tennessee 47125 18 5 13
Rhea County, Tennessee 47143 95 0 95
Rutherford County, Tennessee 47149 68 83 -15
Sevier County, Tennessee 47155 38 0 38
Shelby County, Tennessee 47157 652 156 496
Sullivan County, Tennessee 47163 38 0 38
Sumner County, Tennessee 47165 14 23 -9
Tipton County, Tennessee 47167 0 12 -12
Union County, Tennessee 47173 0 33 -33
Washington County, Tennessee 47179 0 17 -17
Weakley County, Tennessee 47183 0 16 -16
Williamson County, Tennessee 47187 0 173 -173
Wilson County, Tennessee 47189 0 101 -101
Anderson County, Texas 48001 228 386 -158
Andrews County, Texas 48003 0 17 -17
Angelina County, Texas 48005 557 418 139
Aransas County, Texas 48007 24 47 -23
Archer County, Texas 48009 0 4 -4
Atascosa County, Texas 48013 11 80 -69
Austin County, Texas 48015 579 306 273
Bailey County, Texas 48017 0 11 -11
Bandera County, Texas 48019 10 10 0
Bastrop County, Texas 48021 95 130 -35
Bee County, Texas 48025 72 640 -568
Bell County, Texas 48027 686 673 13
Bexar County, Texas 48029 4110 3810 300
Blanco County, Texas 48031 0 1 -1
Bosque County, Texas 48035 69 3 66
Bowie County, Texas 48037 24 61 -37
Brazoria County, Texas 48039 7174 7103 71
Brazos County, Texas 48041 2725 3520 -795
Brewster County, Texas 48043 0 3 -3
Brooks County, Texas 48047 0 85 -85
Brown County, Texas 48049 27 10 17
Burleson County, Texas 48051 68 6 62
Burnet County, Texas 48053 101 90 11
Caldwell County, Texas 48055 46 347 -301
Calhoun County, Texas 48057 0 318 -318
Callahan County, Texas 48059 0 1 -1
Cameron County, Texas 48061 878 606 272
Camp County, Texas 48063 9 38 -29
Carson County, Texas 48065 0 2 -2
Cass County, Texas 48067 0 1 -1
Castro County, Texas 48069 0 6 -6
Chambers County, Texas 48071 689 466 223
Cherokee County, Texas 48073 242 183 59
Childress County, Texas 48075 0 27 -27
Coke County, Texas 48081 0 5 -5
Collin County, Texas 48085 1251 1420 -169
Colorado County, Texas 48089 64 328 -264
Comal County, Texas 48091 347 552 -205
Comanche County, Texas 48093 0 17 -17
Concho County, Texas 48095 0 6 -6
Cooke County, Texas 48097 0 14 -14
Coryell County, Texas 48099 132 89 43
Crockett County, Texas 48105 0 3 -3
Dallam County, Texas 48111 0 1 -1
Dallas County, Texas 48113 4319 5151 -832
Dawson County, Texas 48115 16 17 -1
Delta County, Texas 48119 0 7 -7
Denton County, Texas 48121 1459 1730 -271
DeWitt County, Texas 48123 62 61 1
Donley County, Texas 48129 0 21 -21
Duval County, Texas 48131 23 45 -22
Eastland County, Texas 48133 134 18 116
Ector County, Texas 48135 320 39 281
Ellis County, Texas 48139 117 154 -37
El Paso County, Texas 48141 1268 804 464
Erath County, Texas 48143 16 93 -77
Falls County, Texas 48145 0 129 -129
Fannin County, Texas 48147 1 180 -179
Fayette County, Texas 48149 89 42 47
Fisher County, Texas 48151 0 14 -14
Fort Bend County, Texas 48157 17007 21108 -4101
Freestone County, Texas 48161 1 31 -30
Frio County, Texas 48163 23 9 14
Galveston County, Texas 48167 7163 9957 -2794
Garza County, Texas 48169 23 48 -25
Gillespie County, Texas 48171 13 79 -66
Goliad County, Texas 48175 174 7 167
Gonzales County, Texas 48177 0 3 -3
Gray County, Texas 48179 28 0 28
Grayson County, Texas 48181 68 206 -138
Gregg County, Texas 48183 271 289 -18
Grimes County, Texas 48185 280 255 25
Guadalupe County, Texas 48187 831 263 568
Hale County, Texas 48189 0 106 -106
Hamilton County, Texas 48193 0 17 -17
Hardeman County, Texas 48197 0 1 -1
Hardin County, Texas 48199 512 352 160
Harrison County, Texas 48203 63 324 -261
Hartley County, Texas 48205 0 48 -48
Hays County, Texas 48209 669 1936 -1267
Henderson County, Texas 48213 12 177 -165
Hidalgo County, Texas 48215 1988 1850 138
Hill County, Texas 48217 10 16 -6
Hockley County, Texas 48219 54 45 9
Hood County, Texas 48221 0 22 -22
Hopkins County, Texas 48223 94 58 36
Houston County, Texas 48225 250 87 163
Howard County, Texas 48227 31 122 -91
Hudspeth County, Texas 48229 0 50 -50
Hunt County, Texas 48231 51 182 -131
Hutchinson County, Texas 48233 13 5 8
Jack County, Texas 48237 0 35 -35
Jackson County, Texas 48239 18 3 15
Jasper County, Texas 48241 116 184 -68
Jeff Davis County, Texas 48243 38 0 38
Jefferson County, Texas 48245 2469 1890 579
Jim Hogg County, Texas 48247 0 23 -23
Jim Wells County, Texas 48249 0 214 -214
Johnson County, Texas 48251 63 181 -118
Jones County, Texas 48253 32 74 -42
Karnes County, Texas 48255 38 22 16
Kaufman County, Texas 48257 12 38 -26
Kendall County, Texas 48259 0 273 -273
Kerr County, Texas 48265 67 164 -97
Kimble County, Texas 48267 0 33 -33
Kinney County, Texas 48271 0 8 -8
Kleberg County, Texas 48273 232 187 45
Knox County, Texas 48275 0 3 -3
Lamar County, Texas 48277 0 22 -22
Lampasas County, Texas 48281 0 19 -19
La Salle County, Texas 48283 68 84 -16
Lavaca County, Texas 48285 73 24 49
Lee County, Texas 48287 0 70 -70
Leon County, Texas 48289 49 218 -169
Liberty County, Texas 48291 1632 2620 -988
Limestone County, Texas 48293 30 210 -180
Live Oak County, Texas 48297 0 27 -27
Llano County, Texas 48299 99 93 6
Lubbock County, Texas 48303 739 1271 -532
Lynn County, Texas 48305 0 1 -1
McCulloch County, Texas 48307 0 58 -58
McLennan County, Texas 48309 786 903 -117
Madison County, Texas 48313 0 31 -31
Marion County, Texas 48315 0 6 -6
Matagorda County, Texas 48321 204 214 -10
Maverick County, Texas 48323 53 22 31
Medina County, Texas 48325 23 128 -105
Midland County, Texas 48329 333 786 -453
Milam County, Texas 48331 179 364 -185
Mills County, Texas 48333 0 5 -5
Montague County, Texas 48337 0 60 -60
Montgomery County, Texas 48339 10841 15346 -4505
Morris County, Texas 48343 0 9 -9
Nacogdoches County, Texas 48347 230 981 -751
Navarro County, Texas 48349 124 42 82
Newton County, Texas 48351 3 21 -18
Nolan County, Texas 48353 0 14 -14
Nueces County, Texas 48355 1320 1614 -294
Oldham County, Texas 48359 0 23 -23
Orange County, Texas 48361 204 240 -36
Palo Pinto County, Texas 48363 0 6 -6
Panola County, Texas 48365 21 23 -2
Parker County, Texas 48367 80 270 -190
Pecos County, Texas 48371 132 19 113
Polk County, Texas 48373 365 511 -146
Potter County, Texas 48375 49 114 -65
Presidio County, Texas 48377 0 1 -1
Rains County, Texas 48379 0 26 -26
Randall County, Texas 48381 136 41 95
Real County, Texas 48385 0 61 -61
Red River County, Texas 48387 0 17 -17
Reeves County, Texas 48389 5 4 1
Robertson County, Texas 48395 0 79 -79
Rockwall County, Texas 48397 114 52 62
Rusk County, Texas 48401 15 322 -307
Sabine County, Texas 48403 25 8 17
San Augustine County, Texas 48405 10 83 -73
San Jacinto County, Texas 48407 57 196 -139
San Patricio County, Texas 48409 82 200 -118
San Saba County, Texas 48411 0 12 -12
Scurry County, Texas 48415 55 36 19
Shackelford County, Texas 48417 0 2 -2
Shelby County, Texas 48419 20 107 -87
Smith County, Texas 48423 387 353 34
Starr County, Texas 48427 100 50 50
Stephens County, Texas 48429 8 17 -9
Stonewall County, Texas 48433 0 5 -5
Sutton County, Texas 48435 0 8 -8
Swisher County, Texas 48437 0 1 -1
Tarrant County, Texas 48439 2937 3047 -110
Taylor County, Texas 48441 415 354 61
Terry County, Texas 48445 0 8 -8
Titus County, Texas 48449 0 166 -166
Tom Green County, Texas 48451 265 554 -289
Travis County, Texas 48453 4002 5751 -1749
Trinity County, Texas 48455 209 140 69
Tyler County, Texas 48457 144 177 -33
Upshur County, Texas 48459 24 101 -77
Upton County, Texas 48461 0 2 -2
Uvalde County, Texas 48463 5 41 -36
Val Verde County, Texas 48465 9 44 -35
Van Zandt County, Texas 48467 34 194 -160
Victoria County, Texas 48469 499 393 106
Walker County, Texas 48471 1283 1900 -617
Waller County, Texas 48473 1017 1724 -707
Ward County, Texas 48475 0 1 -1
Washington County, Texas 48477 290 388 -98
Webb County, Texas 48479 675 242 433
Wharton County, Texas 48481 34 149 -115
Wheeler County, Texas 48483 0 13 -13
Wichita County, Texas 48485 233 218 15
Wilbarger County, Texas 48487 0 15 -15
Willacy County, Texas 48489 0 60 -60
Williamson County, Texas 48491 926 1400 -474
Wilson County, Texas 48493 134 14 120
Wise County, Texas 48497 53 61 -8
Wood County, Texas 48499 24 43 -19
Yoakum County, Texas 48501 0 7 -7
Zapata County, Texas 48505 0 29 -29
Beaver County, Utah 49001 11 0 11
Box Elder County, Utah 49003 0 2 -2
Cache County, Utah 49005 7 111 -104
Carbon County, Utah 49007 0 19 -19
Davis County, Utah 49011 18 132 -114
Iron County, Utah 49021 8 0 8
Salt Lake County, Utah 49035 549 247 302
Tooele County, Utah 49045 12 0 12
Utah County, Utah 49049 483 194 289
Washington County, Utah 49053 104 0 104
Weber County, Utah 49057 17 232 -215
Addison County, Vermont 50001 0 22 -22
Chittenden County, Vermont 50007 0 6 -6
Windham County, Vermont 50025 0 4 -4
Albemarle County, Virginia 51003 9 0 9
Amherst County, Virginia 51009 31 0 31
Arlington County, Virginia 51013 89 61 28
Chesterfield County, Virginia 51041 0 42 -42
Fairfax County, Virginia 51059 1004 281 723
Grayson County, Virginia 51077 16 0 16
Hanover County, Virginia 51085 0 17 -17
Henrico County, Virginia 51087 68 0 68
Loudoun County, Virginia 51107 569 119 450
Mecklenburg County, Virginia 51117 0 135 -135
Montgomery County, Virginia 51121 0 8 -8
Orange County, Virginia 51137 0 7 -7
Pittsylvania County, Virginia 51143 28 297 -269
Prince Edward County, Virginia 51147 0 34 -34
Prince William County, Virginia 51153 199 78 121
Pulaski County, Virginia 51155 0 72 -72
Roanoke County, Virginia 51161 203 2 201
Spotsylvania County, Virginia 51177 0 32 -32
Stafford County, Virginia 51179 65 132 -67
Alexandria city, Virginia 51510 79 7 72
Charlottesville city, Virginia 51540 0 81 -81
Chesapeake city, Virginia 51550 83 23 60
Fairfax city, Virginia 51600 10 4 6
Falls Church city, Virginia 51610 24 25 -1
Fredericksburg city, Virginia 51630 102 36 66
Hampton city, Virginia 51650 34 15 19
Lexington city, Virginia 51678 0 5 -5
Lynchburg city, Virginia 51680 0 1 -1
Manassas city, Virginia 51683 76 6 70
Newport News city, Virginia 51700 428 0 428
Norfolk city, Virginia 51710 146 39 107
Portsmouth city, Virginia 51740 20 46 -26
Richmond city, Virginia 51760 119 41 78
Roanoke city, Virginia 51770 0 22 -22
Staunton city, Virginia 51790 0 22 -22
Virginia Beach city, Virginia 51810 158 82 76
Williamsburg city, Virginia 51830 0 28 -28
Adams County, Washington 53001 0 32 -32
Chelan County, Washington 53007 0 14 -14
Clallam County, Washington 53009 0 99 -99
Clark County, Washington 53011 214 51 163
Grant County, Washington 53025 18 0 18
King County, Washington 53033 181 1313 -1132
Kitsap County, Washington 53035 88 29 59
Kittitas County, Washington 53037 28 0 28
Lincoln County, Washington 53043 0 5 -5
Pierce County, Washington 53053 82 120 -38
Skagit County, Washington 53057 0 35 -35
Snohomish County, Washington 53061 202 205 -3
Spokane County, Washington 53063 0 33 -33
Thurston County, Washington 53067 66 16 50
Whatcom County, Washington 53073 0 26 -26
Whitman County, Washington 53075 45 41 4
Yakima County, Washington 53077 111 118 -7
Berkeley County, West Virginia 54003 0 247 -247
Brooke County, West Virginia 54009 0 35 -35
Cabell County, West Virginia 54011 0 13 -13
Fayette County, West Virginia 54019 0 4 -4
Kanawha County, West Virginia 54039 137 0 137
Lewis County, West Virginia 54041 0 21 -21
Marion County, West Virginia 54049 0 39 -39
Mercer County, West Virginia 54055 35 0 35
Monongalia County, West Virginia 54061 85 0 85
Monroe County, West Virginia 54063 1 0 1
Adams County, Wisconsin 55001 0 4 -4
Brown County, Wisconsin 55009 18 6 12
Calumet County, Wisconsin 55015 0 16 -16
Clark County, Wisconsin 55019 0 7 -7
Columbia County, Wisconsin 55021 0 5 -5
Dane County, Wisconsin 55025 85 51 34
Door County, Wisconsin 55029 0 15 -15
Dunn County, Wisconsin 55033 0 19 -19
Eau Claire County, Wisconsin 55035 0 41 -41
Fond du Lac County, Wisconsin 55039 0 13 -13
Forest County, Wisconsin 55041 0 3 -3
Iron County, Wisconsin 55051 0 1 -1
Jefferson County, Wisconsin 55055 0 7 -7
Kenosha County, Wisconsin 55059 0 13 -13
La Crosse County, Wisconsin 55063 0 14 -14
Lincoln County, Wisconsin 55069 0 2 -2
Milwaukee County, Wisconsin 55079 174 280 -106
Portage County, Wisconsin 55097 0 23 -23
Richland County, Wisconsin 55103 24 0 24
Rock County, Wisconsin 55105 0 35 -35
Shawano County, Wisconsin 55115 0 34 -34
Sheboygan County, Wisconsin 55117 0 6 -6
Washburn County, Wisconsin 55129 0 4 -4
Waukesha County, Wisconsin 55133 102 11 91
Waupaca County, Wisconsin 55135 0 9 -9
Winnebago County, Wisconsin 55139 193 0 193
Wood County, Wisconsin 55141 0 6 -6
Albany County, Wyoming 56001 18 7 11
Big Horn County, Wyoming 56003 0 1 -1
Campbell County, Wyoming 56005 35 51 -16
Carbon County, Wyoming 56007 44 0 44
Fremont County, Wyoming 56013 0 22 -22
Laramie County, Wyoming 56021 100 19 81
Lincoln County, Wyoming 56023 0 1 -1
Natrona County, Wyoming 56025 189 0 189
Park County, Wyoming 56029 0 21 -21
Platte County, Wyoming 56031 0 24 -24
Sweetwater County, Wyoming 56037 91 28 63
Teton County, Wyoming 56039 0 1 -1
Aguada Municipio, Puerto Rico 72003 35 0 35
Aguadilla Municipio, Puerto Rico 72005 93 0 93
Aibonito Municipio, Puerto Rico 72009 57 0 57
Arecibo Municipio, Puerto Rico 72013 235 0 235
Arroyo Municipio, Puerto Rico 72015 60 0 60
Camuy Municipio, Puerto Rico 72027 159 0 159
Canóvanas Municipio, Puerto Rico 72029 19 0 19
Carolina Municipio, Puerto Rico 72031 61 22 39
Cidra Municipio, Puerto Rico 72041 97 0 97
Corozal Municipio, Puerto Rico 72047 53 0 53
Florida Municipio, Puerto Rico 72054 0 26 -26
Guaynabo Municipio, Puerto Rico 72061 41 0 41
Gurabo Municipio, Puerto Rico 72063 0 56 -56
Luquillo Municipio, Puerto Rico 72089 86 0 86
Manatí Municipio, Puerto Rico 72091 20 13 7
Mayagüez Municipio, Puerto Rico 72097 140 0 140
Orocovis Municipio, Puerto Rico 72107 0 26 -26
Peñuelas Municipio, Puerto Rico 72111 20 0 20
Ponce Municipio, Puerto Rico 72113 50 7 43
Rincón Municipio, Puerto Rico 72117 0 39 -39
Río Grande Municipio, Puerto Rico 72119 43 0 43
San Juan Municipio, Puerto Rico 72127 209 19 190
Toa Baja Municipio, Puerto Rico 72137 12 0 12
Utuado Municipio, Puerto Rico 72141 58 0 58
Yabucoa Municipio, Puerto Rico 72151 81 0 81
Bridgeport town, Fairfield County, Connecticut 0900108070 9 11 -2
Darien town, Fairfield County, Connecticut 0900118850 8 17 -9
Greenwich town, Fairfield County, Connecticut 0900133620 0 147 -147
New Canaan town, Fairfield County, Connecticut 0900150580 85 16 69
Norwalk town, Fairfield County, Connecticut 0900156060 50 45 5
Stamford town, Fairfield County, Connecticut 0900173070 54 0 54
Westport town, Fairfield County, Connecticut 0900183500 47 0 47
Bristol town, Hartford County, Connecticut 0900308490 23 0 23
East Hartford town, Hartford County, Connecticut 0900322630 23 0 23
Hartford town, Hartford County, Connecticut 0900337070 11 46 -35
Manchester town, Hartford County, Connecticut 0900344700 66 0 66
New Britain town, Hartford County, Connecticut 0900350440 0 7 -7
Southington town, Hartford County, Connecticut 0900370550 0 49 -49
West Hartford town, Hartford County, Connecticut 0900382590 0 25 -25
Litchfield town, Litchfield County, Connecticut 0900543370 0 30 -30
Durham town, Middlesex County, Connecticut 0900720810 0 1 -1
East Haven town, New Haven County, Connecticut 0900922910 36 0 36
Hamden town, New Haven County, Connecticut 0900935650 12 49 -37
Milford town, New Haven County, Connecticut 0900947535 0 10 -10
New Haven town, New Haven County, Connecticut 0900952070 82 83 -1
New London town, New London County, Connecticut 0901152350 0 14 -14
Willington town, Tolland County, Connecticut 0901385950 13 0 13
Windham town, Windham County, Connecticut 0901586790 49 0 49
Portland city, Cumberland County, Maine 2300560545 0 18 -18
Nobleboro town, Lincoln County, Maine 2301549660 22 0 22
Etna town, Penobscot County, Maine 2301923865 0 5 -5
Lakeville town, Penobscot County, Maine 2301938005 0 1 -1
Orono town, Penobscot County, Maine 2301955565 0 9 -9
Smithfield town, Somerset County, Maine 2302569155 17 0 17
Eastport city, Washington County, Maine 2302921730 0 24 -24
Steuben town, Washington County, Maine 2302974125 0 3 -3
Biddeford city, York County, Maine 2303104860 51 0 51
Ogunquit town, York County, Maine 2303154980 0 12 -12
Wells town, York County, Maine 2303181475 0 25 -25
Lenox town, Berkshire County, Massachusetts 2500334970 18 0 18
Attleboro city, Bristol County, Massachusetts 2500502690 0 17 -17
North Attleborough town, Bristol County, Massachusetts 2500546575 39 0 39
Hamilton town, Essex County, Massachusetts 2500927900 0 5 -5
Salem city, Essex County, Massachusetts 2500959105 6 6 0
Amherst town, Hampshire County, Massachusetts 2501501325 99 0 99
Hadley town, Hampshire County, Massachusetts 2501527690 0 14 -14
Arlington town, Middlesex County, Massachusetts 2501701605 0 2 -2
Belmont town, Middlesex County, Massachusetts 2501705070 0 56 -56
Cambridge city, Middlesex County, Massachusetts 2501711000 97 51 46
Hopkinton town, Middlesex County, Massachusetts 2501731085 0 2 -2
Lexington town, Middlesex County, Massachusetts 2501735215 0 11 -11
Lowell city, Middlesex County, Massachusetts 2501737000 0 13 -13
Medford city, Middlesex County, Massachusetts 2501739835 0 52 -52
Newton city, Middlesex County, Massachusetts 2501745560 0 6 -6
Sherborn town, Middlesex County, Massachusetts 2501761380 10 0 10
Somerville city, Middlesex County, Massachusetts 2501762535 20 21 -1
Tyngsborough town, Middlesex County, Massachusetts 2501771025 0 25 -25
Wakefield town, Middlesex County, Massachusetts 2501772215 0 1 -1
Waltham city, Middlesex County, Massachusetts 2501772600 0 23 -23
Watertown Town city, Middlesex County, Massachusetts 2501773440 0 56 -56
Wilmington town, Middlesex County, Massachusetts 2501780230 0 72 -72
Winchester town, Middlesex County, Massachusetts 2501780510 5 72 -67
Braintree Town city, Norfolk County, Massachusetts 2502107740 5 0 5
Brookline town, Norfolk County, Massachusetts 2502109175 0 9 -9
Dedham town, Norfolk County, Massachusetts 2502116495 0 5 -5
Milton town, Norfolk County, Massachusetts 2502141690 0 7 -7
Quincy city, Norfolk County, Massachusetts 2502155745 146 142 4
Wellesley town, Norfolk County, Massachusetts 2502174175 0 12 -12
Carver town, Plymouth County, Massachusetts 2502311665 21 0 21
Marshfield town, Plymouth County, Massachusetts 2502338855 84 0 84
Boston city, Suffolk County, Massachusetts 2502507000 442 61 381
Chelsea city, Suffolk County, Massachusetts 2502513205 229 0 229
Revere city, Suffolk County, Massachusetts 2502556585 0 9 -9
Winthrop Town city, Suffolk County, Massachusetts 2502581005 38 0 38
Grafton town, Worcester County, Massachusetts 2502726430 0 2 -2
Worcester city, Worcester County, Massachusetts 2502782000 28 6 22
Laketown township, Allegan County, Michigan 2600545180 0 7 -7
Kearney township, Antrim County, Michigan 2600942400 0 8 -8
Garfield township, Bay County, Michigan 2601731540 0 4 -4
Berrien township, Berrien County, Michigan 2602107820 54 0 54
Lincoln charter township, Berrien County, Michigan 2602147600 44 0 44
Oronoko charter township, Berrien County, Michigan 2602161180 42 0 42
St. Joseph city, Berrien County, Michigan 2602170960 0 8 -8
Athens township, Calhoun County, Michigan 2602503900 11 0 11
Sault Ste. Marie city, Chippewa County, Michigan 2603371740 0 4 -4
Escanaba city, Delta County, Michigan 2604126360 0 13 -13
Charlotte city, Eaton County, Michigan 2604514820 16 0 16
Delta charter township, Eaton County, Michigan 2604521520 34 0 34
Littlefield township, Emmet County, Michigan 2604748020 38 0 38
Davison township, Genesee County, Michigan 2604919900 4 0 4
Flint city, Genesee County, Michigan 2604929000 0 16 -16
Flint charter township, Genesee County, Michigan 2604929020 0 22 -22
Grand Blanc city, Genesee County, Michigan 2604933280 0 12 -12
Mount Morris township, Genesee County, Michigan 2604955980 0 13 -13
Acme township, Grand Traverse County, Michigan 2605500200 20 0 20
Alma city, Gratiot County, Michigan 2605701540 0 10 -10
Bethany township, Gratiot County, Michigan 2605708020 0 25 -25
Houghton city, Houghton County, Michigan 2606139360 11 0 11
East Lansing city, Ingham County, Michigan 2606524120 9 10 -1
Lansing city, Ingham County, Michigan 2606546000 21 35 -14
Leroy township, Ingham County, Michigan 2606547080 6 0 6
Leslie city, Ingham County, Michigan 2606547180 0 13 -13
Williamstown township, Ingham County, Michigan 2606587440 9 0 9
Iron River city, Iron County, Michigan 2607140980 0 14 -14
Sherman township, Isabella County, Michigan 2607373200 0 3 -3
Kalamazoo city, Kalamazoo County, Michigan 2607742160 0 6 -6
Portage city, Kalamazoo County, Michigan 2607765560 0 22 -22
Algoma township, Kent County, Michigan 2608101160 0 31 -31
Cascade charter township, Kent County, Michigan 2608113660 0 46 -46
Grand Rapids city, Kent County, Michigan 2608134000 9 212 -203
Wyoming city, Kent County, Michigan 2608188940 25 11 14
Adrian city, Lenawee County, Michigan 2609100440 0 12 -12
Cambridge township, Lenawee County, Michigan 2609112720 12 0 12
Brighton city, Livingston County, Michigan 2609310620 12 0 12
Tyrone township, Livingston County, Michigan 2609381160 13 0 13
Clark township, Mackinac County, Michigan 2609716060 0 17 -17
Chesterfield township, Macomb County, Michigan 2609915340 0 30 -30
Clinton charter township, Macomb County, Michigan 2609916520 0 22 -22
Shelby charter township, Macomb County, Michigan 2609972820 21 0 21
Sterling Heights city, Macomb County, Michigan 2609976460 0 13 -13
Warren city, Macomb County, Michigan 2609984000 123 2 121
Washington township, Macomb County, Michigan 2609984120 0 3 -3
Manistee city, Manistee County, Michigan 2610150720 38 0 38
Manistee township, Manistee County, Michigan 2610150740 50 0 50
Marquette city, Marquette County, Michigan 2610351900 0 2 -2
Big Rapids city, Mecosta County, Michigan 2610708300 0 11 -11
Nadeau township, Menominee County, Michigan 2610956440 0 2 -2
Lee township, Midland County, Michigan 2611146640 0 2 -2
Midland city, Midland County, Michigan 2611153780 45 24 21
Berlin charter township, Monroe County, Michigan 2611507720 0 16 -16
White Cloud city, Newaygo County, Michigan 2612386680 0 84 -84
Addison township, Oakland County, Michigan 2612500400 0 3 -3
Auburn Hills city, Oakland County, Michigan 2612504105 0 27 -27
Independence charter township, Oakland County, Michigan 2612540400 0 2 -2
Lathrup Village city, Oakland County, Michigan 2612546320 0 6 -6
Madison Heights city, Oakland County, Michigan 2612550560 56 0 56
Oxford charter township, Oakland County, Michigan 2612562040 0 17 -17
Pontiac city, Oakland County, Michigan 2612565440 0 29 -29
Southfield city, Oakland County, Michigan 2612574900 19 51 -32
Southfield township, Oakland County, Michigan 2612574920 0 10 -10
Troy city, Oakland County, Michigan 2612580700 0 11 -11
Waterford charter township, Oakland County, Michigan 2612584240 69 9 60
White Lake charter township, Oakland County, Michigan 2612586860 10 0 10
Allendale charter township, Ottawa County, Michigan 2613901360 0 23 -23
Holland charter township, Ottawa County, Michigan 2613938660 0 117 -117
Thomas township, Saginaw County, Michigan 2614579520 27 0 27
Tittabawassee township, Saginaw County, Michigan 2614579840 0 18 -18
Algonac city, St. Clair County, Michigan 2614701180 0 42 -42
Berlin township, St. Clair County, Michigan 2614707760 0 6 -6
Covert township, Van Buren County, Michigan 2615918560 11 0 11
Lawrence township, Van Buren County, Michigan 2615946460 0 1 -1
Ann Arbor city, Washtenaw County, Michigan 2616103000 69 117 -48
Scio township, Washtenaw County, Michigan 2616171940 65 0 65
Ypsilanti charter township, Washtenaw County, Michigan 2616189160 26 0 26
Detroit city, Wayne County, Michigan 2616322000 66 85 -19
Garden City city, Wayne County, Michigan 2616331420 0 41 -41
Huron charter township, Wayne County, Michigan 2616340040 0 40 -40
Livonia city, Wayne County, Michigan 2616349000 0 5 -5
Romulus city, Wayne County, Michigan 2616369420 27 0 27
Coon Rapids city, Anoka County, Minnesota 2700313114 82 0 82
Lexington city, Anoka County, Minnesota 2700336836 0 18 -18
Mankato city, Blue Earth County, Minnesota 2701339878 0 12 -12
Chanhassen city, Carver County, Minnesota 2701910918 0 70 -70
Victoria city, Carver County, Minnesota 2701967036 0 57 -57
Moorhead city, Clay County, Minnesota 2702743864 0 8 -8
Nisswa city, Crow Wing County, Minnesota 2703546348 0 11 -11
Burnsville city, Dakota County, Minnesota 2703708794 0 39 -39
Eagan city, Dakota County, Minnesota 2703717288 0 8 -8
Easton city, Faribault County, Minnesota 2704317738 5 0 5
Bloomington city, Hennepin County, Minnesota 2705306616 30 2 28
Eden Prairie city, Hennepin County, Minnesota 2705318116 40 75 -35
Minneapolis city, Hennepin County, Minnesota 2705343000 192 101 91
Minnetonka city, Hennepin County, Minnesota 2705343252 0 9 -9
Richfield city, Hennepin County, Minnesota 2705354214 0 16 -16
St. Louis Park city, Hennepin County, Minnesota 2705357220 5 18 -13
Grand Rapids city, Itasca County, Minnesota 2706125118 0 8 -8
Jackson city, Jackson County, Minnesota 2706331562 14 0 14
Lakefield city, Jackson County, Minnesota 2706334316 0 23 -23
Willmar city, Kandiyohi County, Minnesota 2706770420 0 205 -205
Hallock township, Kittson County, Minnesota 2706926594 0 1 -1
International Falls city, Koochiching County, Minnesota 2707131040 0 1 -1
Silver Creek township, Lake County, Minnesota 2707560304 0 22 -22
Marshall city, Lyon County, Minnesota 2708340688 0 15 -15
Hassan Valley township, McLeod County, Minnesota 2708527494 0 2 -2
Austin township, Mower County, Minnesota 2709902926 0 2 -2
Courtland township, Nicollet County, Minnesota 2710313600 0 8 -8
Lafayette city, Nicollet County, Minnesota 2710333920 0 2 -2
Lismore city, Nobles County, Minnesota 2710537412 0 1 -1
Worthington city, Nobles County, Minnesota 2710571734 0 19 -19
Rochester city, Olmsted County, Minnesota 2710954880 106 0 106
Perham city, Otter Tail County, Minnesota 2711150470 0 17 -17
Scambler township, Otter Tail County, Minnesota 2711158864 0 9 -9
Vineland township, Polk County, Minnesota 2711967198 0 7 -7
Maplewood city, Ramsey County, Minnesota 2712340382 0 14 -14
St. Paul city, Ramsey County, Minnesota 2712358000 55 8 47
Northfield city, Rice County, Minnesota 2713146924 0 17 -17
Buhl city, St. Louis County, Minnesota 2713708524 47 0 47
Duluth city, St. Louis County, Minnesota 2713717000 50 19 31
Ely city, St. Louis County, Minnesota 2713719142 0 4 -4
Fayal township, St. Louis County, Minnesota 2713720762 0 1 -1
Hibbing city, St. Louis County, Minnesota 2713728790 0 5 -5
Virginia city, St. Louis County, Minnesota 2713767288 0 8 -8
St. Lawrence township, Scott County, Minnesota 2713957184 0 2 -2
Collegeville township, Stearns County, Minnesota 2714512592 0 6 -6
Medford township, Steele County, Minnesota 2714741444 0 17 -17
Waseca city, Waseca County, Minnesota 2716168296 65 0 65
Stillwater city, Washington County, Minnesota 2716362824 16 0 16
Woodbury city, Washington County, Minnesota 2716371428 63 0 63
Troy town, Cheshire County, New Hampshire 3300577380 0 10 -10
Hanover town, Grafton County, New Hampshire 3300933860 0 15 -15
Lebanon city, Grafton County, New Hampshire 3300941300 19 0 19
Manchester city, Hillsborough County, New Hampshire 3301145140 0 14 -14
Bradford town, Merrimack County, New Hampshire 3301306980 0 5 -5
Dover city, Strafford County, New Hampshire 3301718820 51 35 16
Atlantic City city, Atlantic County, New Jersey 3400102080 0 22 -22
Egg Harbor township, Atlantic County, New Jersey 3400120290 53 0 53
Bergenfield borough, Bergen County, New Jersey 3400305170 0 12 -12
Closter borough, Bergen County, New Jersey 3400313810 23 0 23
Glen Rock borough, Bergen County, New Jersey 3400326640 0 17 -17
Hackensack city, Bergen County, New Jersey 3400328680 0 62 -62
Mahwah township, Bergen County, New Jersey 3400342750 21 0 21
Norwood borough, Bergen County, New Jersey 3400353610 35 0 35
Paramus borough, Bergen County, New Jersey 3400355950 0 42 -42
Westwood borough, Bergen County, New Jersey 3400380270 7 0 7
Medford township, Burlington County, New Jersey 3400545120 0 16 -16
New Hanover township, Burlington County, New Jersey 3400551510 0 11 -11
North Hanover township, Burlington County, New Jersey 3400553070 0 7 -7
Cape May city, Cape May County, New Jersey 3400910270 0 11 -11
Essex Fells borough, Essex County, New Jersey 3401321840 0 22 -22
Nutley township, Essex County, New Jersey 3401353680 0 22 -22
Clayton borough, Gloucester County, New Jersey 3401513360 35 0 35
Washington township, Gloucester County, New Jersey 3401577180 17 0 17
Hoboken city, Hudson County, New Jersey 3401732250 0 9 -9
Jersey City city, Hudson County, New Jersey 3401736000 193 116 77
Union City city, Hudson County, New Jersey 3401774630 110 0 110
Weehawken township, Hudson County, New Jersey 3401777930 0 14 -14
West New York town, Hudson County, New Jersey 3401779610 35 0 35
Ewing township, Mercer County, New Jersey 3402122185 0 6 -6
Lawrence township, Mercer County, New Jersey 3402139510 0 44 -44
Princeton, Mercer County, New Jersey 3402160900 0 15 -15
Robbinsville township, Mercer County, New Jersey 3402163850 13 0 13
Trenton city, Mercer County, New Jersey 3402174000 0 29 -29
New Brunswick city, Middlesex County, New Jersey 3402351210 140 0 140
Old Bridge township, Middlesex County, New Jersey 3402354705 88 14 74
Plainsboro township, Middlesex County, New Jersey 3402359280 14 11 3
South Brunswick township, Middlesex County, New Jersey 3402368790 48 0 48
South Plainfield borough, Middlesex County, New Jersey 3402369390 0 33 -33
Holmdel township, Monmouth County, New Jersey 3402532640 0 19 -19
Little Silver borough, Monmouth County, New Jersey 3402540770 0 15 -15
Marlboro township, Monmouth County, New Jersey 3402544070 46 19 27
Neptune township, Monmouth County, New Jersey 3402549890 71 0 71
Lincoln Park borough, Morris County, New Jersey 3402740290 11 0 11
Madison borough, Morris County, New Jersey 3402742510 0 9 -9
Mendham township, Morris County, New Jersey 3402745360 15 0 15
Morris township, Morris County, New Jersey 3402748090 17 0 17
Morristown town, Morris County, New Jersey 3402748300 65 0 65
Mount Olive township, Morris County, New Jersey 3402749080 0 21 -21
Wharton borough, Morris County, New Jersey 3402780390 8 0 8
Clifton city, Passaic County, New Jersey 3403113690 87 27 60
Passaic city, Passaic County, New Jersey 3403156550 31 0 31
Bedminster township, Somerset County, New Jersey 3403504450 22 0 22
Hillsborough township, Somerset County, New Jersey 3403531890 38 0 38
Hamburg borough, Sussex County, New Jersey 3403729220 0 17 -17
Union township, Union County, New Jersey 3403974480 0 46 -46
Albany city, Albany County, New York 3600101000 17 0 17
Colonie town, Albany County, New York 3600117343 30 0 30
Guilderland town, Albany County, New York 3600131104 0 17 -17
Cuba town, Allegany County, New York 3600319367 18 0 18
Bronx borough, Bronx County, New York 3600508510 271 206 65
Binghamton city, Broome County, New York 3600706607 0 34 -34
Union town, Broome County, New York 3600776056 0 20 -20
Vestal town, Broome County, New York 3600777255 47 31 16
Ellery town, Chautauqua County, New York 3601323976 0 6 -6
Big Flats town, Chemung County, New York 3601506475 78 0 78
Altona town, Clinton County, New York 3601901583 0 4 -4
Dannemora town, Clinton County, New York 3601919653 0 6 -6
Hyde Park town, Dutchess County, New York 3602737209 0 5 -5
Pawling town, Dutchess County, New York 3602756825 0 5 -5
Amherst town, Erie County, New York 3602902000 8 0 8
Aurora town, Erie County, New York 3602903199 73 0 73
Buffalo city, Erie County, New York 3602911000 101 57 44
Cheektowaga town, Erie County, New York 3602915011 55 0 55
Collins town, Erie County, New York 3602917200 0 5 -5
Hamburg town, Erie County, New York 3602931654 15 14 1
Tonawanda city, Erie County, New York 3602974166 0 10 -10
Tonawanda town, Erie County, New York 3602975000 0 24 -24
Jay town, Essex County, New York 3603138396 4 0 4
Oppenheim town, Fulton County, New York 3603555101 21 0 21
Le Ray town, Jefferson County, New York 3604542015 9 21 -12
Watertown city, Jefferson County, New York 3604578608 22 0 22
Brooklyn borough, Kings County, New York 3604710022 1180 198 982
Livonia town, Livingston County, New York 3605142961 0 17 -17
Brookfield town, Madison County, New York 3605308587 0 6 -6
Cazenovia town, Madison County, New York 3605313156 0 18 -18
DeRuyter town, Madison County, New York 3605320401 0 15 -15
Hamilton town, Madison County, New York 3605331720 3 5 -2
Lincoln town, Madison County, New York 3605342422 0 6 -6
Brighton town, Monroe County, New York 3605508246 33 0 33
Henrietta town, Monroe County, New York 3605534099 0 25 -25
Pittsford town, Monroe County, New York 3605558365 30 0 30
Rochester city, Monroe County, New York 3605563000 0 32 -32
Glen town, Montgomery County, New York 3605729047 0 5 -5
Glen Cove city, Nassau County, New York 3605929113 0 9 -9
Hempstead town, Nassau County, New York 3605934000 509 12 497
North Hempstead town, Nassau County, New York 3605953000 59 0 59
Manhattan borough, New York County, New York 3606144919 767 464 303
Niagara Falls city, Niagara County, New York 3606351055 0 80 -80
North Tonawanda city, Niagara County, New York 3606353682 209 8 201
Utica city, Oneida County, New York 3606576540 71 0 71
Syracuse city, Onondaga County, New York 3606773000 0 34 -34
Canandaigua city, Ontario County, New York 3606912144 123 0 123
Highlands town, Orange County, New York 3607134550 0 38 -38
Newburgh city, Orange County, New York 3607150034 0 10 -10
New Windsor town, Orange County, New York 3607150848 0 23 -23
Richland town, Oswego County, New York 3607561533 39 0 39
Queens borough, Queens County, New York 3608160323 201 180 21
Schodack town, Rensselaer County, New York 3608365541 14 0 14
Troy city, Rensselaer County, New York 3608375484 0 23 -23
Staten Island borough, Richmond County, New York 3608570915 0 176 -176
Ramapo town, Rockland County, New York 3608760510 78 0 78
Saratoga Springs city, Saratoga County, New York 3609165255 0 69 -69
Stillwater town, Saratoga County, New York 3609171333 0 6 -6
Schenectady city, Schenectady County, New York 3609365508 56 0 56
Lodi town, Seneca County, New York 3609943225 0 3 -3
Erwin town, Steuben County, New York 3610124647 0 16 -16
Brookhaven town, Suffolk County, New York 3610310000 20 32 -12
Huntington town, Suffolk County, New York 3610337000 27 0 27
Islip town, Suffolk County, New York 3610338000 72 13 59
Owego town, Tioga County, New York 3610755893 0 16 -16
Ithaca city, Tompkins County, New York 3610938077 0 68 -68
Ithaca town, Tompkins County, New York 3610938088 0 154 -154
Woodstock town, Ulster County, New York 3611183052 0 21 -21
Walworth town, Wayne County, New York 3611778102 0 15 -15
Cortlandt town, Westchester County, New York 3611918410 1 38 -37
Greenburgh town, Westchester County, New York 3611930367 110 0 110
Harrison town, Westchester County, New York 3611932413 0 46 -46
Mount Vernon city, Westchester County, New York 3611949121 25 0 25
New Castle town, Westchester County, New York 3611950078 54 0 54
North Castle town, Westchester County, New York 3611951693 20 0 20
Pelham town, Westchester County, New York 3611957012 0 8 -8
Pound Ridge town, Westchester County, New York 3611959685 55 0 55
Yonkers city, Westchester County, New York 3611984000 20 0 20
Bennington town, Wyoming County, New York 3612105936 0 11 -11
Castile town, Wyoming County, New York 3612112782 0 6 -6
Aleppo township, Allegheny County, Pennsylvania 4200300724 0 13 -13
Bellevue borough, Allegheny County, Pennsylvania 4200305312 9 0 9
Findlay township, Allegheny County, Pennsylvania 4200325904 0 52 -52
Moon township, Allegheny County, Pennsylvania 4200350784 73 0 73
North Braddock borough, Allegheny County, Pennsylvania 4200354816 0 8 -8
Pittsburgh city, Allegheny County, Pennsylvania 4200361000 138 102 36
Ross township, Allegheny County, Pennsylvania 4200366264 0 30 -30
South Fayette township, Allegheny County, Pennsylvania 4200372160 22 0 22
Gilpin township, Armstrong County, Pennsylvania 4200529184 0 2 -2
Kittanning borough, Armstrong County, Pennsylvania 4200540040 0 5 -5
Aliquippa city, Beaver County, Pennsylvania 4200700820 21 0 21
Brighton township, Beaver County, Pennsylvania 4200708680 0 18 -18
Independence township, Beaver County, Pennsylvania 4200736776 49 0 49
Industry borough, Beaver County, Pennsylvania 4200736944 0 2 -2
Reading city, Berks County, Pennsylvania 4201163624 70 0 70
Spring township, Berks County, Pennsylvania 4201172824 5 0 5
Buckingham township, Bucks County, Pennsylvania 4201709816 12 0 12
Doylestown borough, Bucks County, Pennsylvania 4201719784 0 10 -10
Lower Makefield township, Bucks County, Pennsylvania 4201744968 8 0 8
New Britain township, Bucks County, Pennsylvania 4201753304 18 0 18
Adams township, Butler County, Pennsylvania 4201900300 20 0 20
Cranberry township, Butler County, Pennsylvania 4201916920 33 44 -11
State College borough, Centre County, Pennsylvania 4202773808 196 0 196
East Caln township, Chester County, Pennsylvania 4202920920 34 0 34
East Goshen township, Chester County, Pennsylvania 4202921192 0 26 -26
East Whiteland township, Chester County, Pennsylvania 4202922056 0 5 -5
Phoenixville borough, Chester County, Pennsylvania 4202960120 0 14 -14
West Whiteland township, Chester County, Pennsylvania 4202984192 0 18 -18
Madison township, Clarion County, Pennsylvania 4203146464 0 7 -7
Monroe township, Clarion County, Pennsylvania 4203150464 31 0 31
Lock Haven city, Clinton County, Pennsylvania 4203544128 0 6 -6
Pine Creek township, Clinton County, Pennsylvania 4203560360 62 0 62
Bloomsburg town, Columbia County, Pennsylvania 4203707128 8 0 8
Cambridge Springs borough, Crawford County, Pennsylvania 4203910912 22 0 22
Meadville city, Crawford County, Pennsylvania 4203948360 0 10 -10
Derry township, Dauphin County, Pennsylvania 4204318936 10 0 10
Harrisburg city, Dauphin County, Pennsylvania 4204332800 32 22 10
Hummelstown borough, Dauphin County, Pennsylvania 4204336232 32 0 32
Jefferson township, Dauphin County, Pennsylvania 4204337864 0 3 -3
West Hanover township, Dauphin County, Pennsylvania 4204383128 0 48 -48
Concord township, Delaware County, Pennsylvania 4204515488 0 57 -57
Haverford township, Delaware County, Pennsylvania 4204533144 32 0 32
Radnor township, Delaware County, Pennsylvania 4204563264 0 12 -12
Thornbury township, Delaware County, Pennsylvania 4204576576 0 7 -7
Ridgway borough, Elk County, Pennsylvania 4204764784 0 4 -4
Elgin borough, Erie County, Pennsylvania 4204922960 0 4 -4
Erie city, Erie County, Pennsylvania 4204924000 42 8 34
Millcreek township, Erie County, Pennsylvania 4204949548 109 0 109
Connellsville city, Fayette County, Pennsylvania 4205115776 0 37 -37
Jefferson township, Fayette County, Pennsylvania 4205137872 0 4 -4
Morris township, Huntingdon County, Pennsylvania 4206151080 0 2 -2
Scranton city, Lackawanna County, Pennsylvania 4206969000 15 38 -23
East Hempfield township, Lancaster County, Pennsylvania 4207121232 64 0 64
Ephrata township, Lancaster County, Pennsylvania 4207123840 32 0 32
Lancaster city, Lancaster County, Pennsylvania 4207141216 0 32 -32
Strasburg township, Lancaster County, Pennsylvania 4207174720 0 17 -17
Lebanon city, Lebanon County, Pennsylvania 4207542168 0 86 -86
Macungie borough, Lehigh County, Pennsylvania 4207746392 15 0 15
Upper Macungie township, Lehigh County, Pennsylvania 4207779104 110 16 94
Butler township, Luzerne County, Pennsylvania 4207910480 29 0 29
Cummings township, Lycoming County, Pennsylvania 4208117696 0 2 -2
Bradford township, McKean County, Pennsylvania 4208308048 0 48 -48
Liberty township, McKean County, Pennsylvania 4208343096 0 38 -38
Stroud township, Monroe County, Pennsylvania 4208974880 0 130 -130
Abington township, Montgomery County, Pennsylvania 4209100156 13 0 13
Conshohocken borough, Montgomery County, Pennsylvania 4209115848 17 0 17
Horsham township, Montgomery County, Pennsylvania 4209135808 11 0 11
Lower Merion township, Montgomery County, Pennsylvania 4209144976 22 0 22
Lower Providence township, Montgomery County, Pennsylvania 4209145080 0 25 -25
Royersford borough, Montgomery County, Pennsylvania 4209166576 12 0 12
Trappe borough, Montgomery County, Pennsylvania 4209177304 0 12 -12
Upper Merion township, Montgomery County, Pennsylvania 4209179136 5 83 -78
Upper Providence township, Montgomery County, Pennsylvania 4209179256 0 13 -13
Whitpain township, Montgomery County, Pennsylvania 4209184888 9 0 9
Bethlehem city, Northampton County, Pennsylvania 4209506088 37 17 20
Hanover township, Northampton County, Pennsylvania 4209532432 0 15 -15
North Catasauqua borough, Northampton County, Pennsylvania 4209554872 12 0 12
Saville township, Perry County, Pennsylvania 4209968032 0 6 -6
Tyrone township, Perry County, Pennsylvania 4209978184 0 5 -5
Philadelphia city, Philadelphia County, Pennsylvania 4210160000 392 124 268
Selinsgrove borough, Snyder County, Pennsylvania 4210969216 0 13 -13
Great Bend borough, Susquehanna County, Pennsylvania 4211530728 0 3 -3
Barkeyville borough, Venango County, Pennsylvania 4212104136 0 5 -5
Irwin township, Venango County, Pennsylvania 4212137200 0 2 -2
Cecil township, Washington County, Pennsylvania 4212511800 31 0 31
Chartiers township, Washington County, Pennsylvania 4212512848 0 18 -18
Peters township, Washington County, Pennsylvania 4212559608 92 0 92
Smith township, Washington County, Pennsylvania 4212571288 0 12 -12
South Strabane township, Washington County, Pennsylvania 4212572504 0 29 -29
Washington city, Washington County, Pennsylvania 4212581328 0 6 -6
Paupack township, Wayne County, Pennsylvania 4212758480 25 0 25
Hempfield township, Westmoreland County, Pennsylvania 4212933792 0 2 -2
Jeannette city, Westmoreland County, Pennsylvania 4212937784 0 8 -8
North Huntingdon township, Westmoreland County, Pennsylvania 4212955128 12 0 12
Unity township, Westmoreland County, Pennsylvania 4212978656 0 14 -14
Manchester township, York County, Pennsylvania 4213346872 25 0 25
York township, York County, Pennsylvania 4213387056 0 13 -13
East Greenwich town, Kent County, Rhode Island 4400322240 19 0 19
Warwick city, Kent County, Rhode Island 4400374300 15 15 0
Burrillville town, Providence County, Rhode Island 4400711800 19 0 19
Cumberland town, Providence County, Rhode Island 4400720080 25 0 25
East Providence city, Providence County, Rhode Island 4400722960 0 71 -71
Johnston town, Providence County, Rhode Island 4400737720 117 0 117
Lincoln town, Providence County, Rhode Island 4400741500 4 0 4
Providence city, Providence County, Rhode Island 4400759000 0 12 -12
Middlebury town, Addison County, Vermont 5000144350 0 16 -16
Vergennes city, Addison County, Vermont 5000174650 0 6 -6
Burlington city, Chittenden County, Vermont 5000710675 0 2 -2
Colchester town, Chittenden County, Vermont 5000714875 0 4 -4
Stratton town, Windham County, Vermont 5002570750 0 4 -4
Adams town, Adams County, Wisconsin 5500100300 0 4 -4
Ashwaubenon village, Brown County, Wisconsin 5500903425 18 0 18
Green Bay city, Brown County, Wisconsin 5500931000 0 6 -6
Chilton city, Calumet County, Wisconsin 5501514475 0 16 -16
Hixon town, Clark County, Wisconsin 5501935050 0 7 -7
Pacific town, Columbia County, Wisconsin 5502160925 0 5 -5
Madison city, Dane County, Wisconsin 5502548000 19 41 -22
Rutland town, Dane County, Wisconsin 5502570400 66 0 66
Sun Prairie city, Dane County, Wisconsin 5502578600 0 10 -10
Gardner town, Door County, Wisconsin 5502928300 0 15 -15
Menomonie city, Dunn County, Wisconsin 5503351025 0 7 -7
Tainter town, Dunn County, Wisconsin 5503378975 0 12 -12
Bridge Creek town, Eau Claire County, Wisconsin 5503509500 0 18 -18
Fall Creek village, Eau Claire County, Wisconsin 5503525125 0 23 -23
Brandon village, Fond du Lac County, Wisconsin 5503909300 0 12 -12
Fond du Lac city, Fond du Lac County, Wisconsin 5503926275 0 1 -1
Caswell town, Forest County, Wisconsin 5504113125 0 3 -3
Sherman town, Iron County, Wisconsin 5505173400 0 1 -1
Jefferson city, Jefferson County, Wisconsin 5505537900 0 7 -7
Kenosha city, Kenosha County, Wisconsin 5505939225 0 13 -13
Hamilton town, La Crosse County, Wisconsin 5506332275 0 14 -14
Harrison town, Lincoln County, Wisconsin 5506932875 0 2 -2
Brown Deer village, Milwaukee County, Wisconsin 5507910375 0 36 -36
Franklin city, Milwaukee County, Wisconsin 5507927300 72 0 72
Greenfield city, Milwaukee County, Wisconsin 5507931175 0 8 -8
Milwaukee city, Milwaukee County, Wisconsin 5507953000 76 225 -149
West Allis city, Milwaukee County, Wisconsin 5507985300 26 11 15
Plover village, Portage County, Wisconsin 5509763525 0 23 -23
Rockbridge town, Richland County, Wisconsin 5510368675 24 0 24
Janesville city, Rock County, Wisconsin 5510537825 0 31 -31
Orfordville village, Rock County, Wisconsin 5510560250 0 4 -4
Shawano city, Shawano County, Wisconsin 5511572925 0 34 -34
Kohler village, Sheboygan County, Wisconsin 5511740275 0 6 -6
Beaver Brook town, Washburn County, Wisconsin 5512905875 0 4 -4
Eagle town, Waukesha County, Wisconsin 5513321450 0 11 -11
North Prairie village, Waukesha County, Wisconsin 5513358400 102 0 102
Fremont village, Waupaca County, Wisconsin 5513527800 0 2 -2
Manawa city, Waupaca County, Wisconsin 5513548350 0 7 -7
Fox Crossing village, Winnebago County, Wisconsin 5513926982 27 0 27
Neenah city, Winnebago County, Wisconsin 5513955750 166 0 166
Wisconsin Rapids city, Wood County, Wisconsin 5514188200 0 6 -6

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

2. General, Social, Economic, Housing Characteristics

2.1. General Demographics - Detailed Characteristics .. goto topics
.. age, gender, race/origin characteristics
    and related general demographic attributes.
.. based on ACS 2020 5-year data (ACS). Negative cell value indicates NA.
GENERAL DEMOGRAPHIC CHARACTERISTICS (DP1) ItemCode County Estimate County Percent U.S. Estimate U.S. Percent
SEX AND AGE      
.Total population D001 4,680,609 100.0 326,569,308 100.0
..Male D002 2,324,083 49.7 160,818,530 49.2
..Female D003 2,356,526 50.3 165,750,778 50.8
..Sex ratio (males per 100 females) D004 98.6   97.0  
     
..Under 5 years D005 350,766 7.5 19,650,192 6.0
..5 to 9 years D006 341,226 7.3 19,979,039 6.1
..10 to 14 years D007 354,921 7.6 21,107,910 6.5
..15 to 19 years D008 321,398 6.9 21,174,955 6.5
..20 to 24 years D009 316,390 6.8 21,820,378 6.7
..25 to 34 years D010 753,626 16.1 45,485,165 13.9
..35 to 44 years D011 669,099 14.3 41,346,677 12.7
..45 to 54 years D012 581,186 12.4 41,540,736 12.7
..55 to 59 years D013 267,578 5.7 21,785,721 6.7
..60 to 64 years D014 233,029 5.0 20,315,718 6.2
..65 to 74 years D015 308,134 6.6 30,547,950 9.4
..75 to 84 years D016 131,773 2.8 15,193,051 4.7
..85 years and over D017 51,483 1.1 6,621,816 2.0
     
..Median age (years) D018 33.7   38.2  
     
..Under 18 years D019 1,248,951 26.7 73,296,738 22.4
..16 years and over D020 3,565,983 76.2 261,649,873 80.1
..18 years and over D021 3,431,658 73.3 253,272,570 77.6
..21 years and over D022 3,253,477 69.5 240,169,127 73.5
..62 years and over D023 626,313 13.4 64,136,076 19.6
..65 years and over D024 491,390 10.5 52,362,817 16.0
     
..18 years and over D025 3,431,658 100.0 253,272,570 100.0
...Male D026 1,688,688 49.2 123,361,776 48.7
...Female D027 1,742,970 50.8 129,910,794 51.3
...Sex ratio (males per 100 females) D028 96.9   95.0  
     
..65 years and over D029 491,390 100.0 52,362,817 100.0
...Male D030 217,596 44.3 23,264,263 44.4
...Female D031 273,794 55.7 29,098,554 55.6
...Sex ratio (males per 100 females) D032 79.5   79.9  
     
RACE      
.Total population D033 4,680,609 100.0 326,569,308 100.0
..One race D034 4,338,558 92.7 309,693,766 94.8
..Two or more races D035 342,051 7.3 16,875,542 5.2
     
..One race D036 4,338,558 92.7 309,693,766 94.8
...White D037 2,669,438 57.0 229,960,813 70.4
...Black or African American D038 888,431 19.0 41,227,384 12.6
...American Indian and Alaska Native D039 19,619 0.4 2,688,614 0.8
....Cherokee tribal grouping D040 1,951 0.0 277,634 0.1
....Chippewa tribal grouping D041 174 0.0 112,056 0.0
....Navajo tribal grouping D042 260 0.0 324,638 0.1
....Sioux tribal grouping D043 95 0.0 110,492 0.0
...Asian D044 330,309 7.1 18,421,637 5.6
....Asian Indian D045 65,211 1.4 4,143,134 1.3
....Chinese D046 57,626 1.2 4,345,272 1.3
....Filipino D047 28,548 0.6 2,884,210 0.9
....Japanese D048 4,285 0.1 768,985 0.2
....Korean D049 13,228 0.3 1,477,325 0.5
....Vietnamese D050 105,543 2.3 1,852,906 0.6
....Other Asian D051 55,868 1.2 2,949,805 0.9
...Native Hawaiian and Other Pacific Islander D052 2,893 0.1 611,404 0.2
....Native Hawaiian D053 690 0.0 185,474 0.1
....Guamanian or Chamorro D054 750 0.0 81,898 0.0
....Samoan D055 714 0.0 110,141 0.0
....Other Pacific Islander D056 739 0.0 233,891 0.1
...Some other race D057 427,868 9.1 16,783,914 5.1
..Two or more races D058 342,051 7.3 16,875,542 5.2
...White and Black or African American D059 36,206 0.8 3,295,021 1.0
...White and American Indian and Alaska Native D060 16,363 0.3 1,994,147 0.6
...White and Asian D061 29,478 0.6 2,466,289 0.8
...Black or African American and American Indian and Alaska Native D062 3,977 0.1 297,898 0.1
     
Race alone or in combination with one or more other races      
.Total population D063 4,680,609 100.0 326,569,308 100.0
..White D064 2,984,273 63.8 245,105,778 75.1
..Black or African American D065 953,539 20.4 46,273,733 14.2
..American Indian and Alaska Native D066 49,476 1.1 5,779,818 1.8
..Asian D067 374,569 8.0 22,193,536 6.8
..Native Hawaiian and Other Pacific Islander D068 8,335 0.2 1,441,525 0.4
..Some other race D069 669,234 14.3 24,041,125 7.4
     
HISPANIC OR LATINO AND RACE      
.Total population D070 4,680,609 100.0 326,569,308 100.0
..Hispanic or Latino (of any race) D071 2,016,625 43.1 59,361,020 18.2
...Mexican D072 1,451,665 31.0 36,537,028 11.2
...Puerto Rican D073 33,867 0.7 5,699,150 1.7
...Cuban D074 37,282 0.8 2,332,584 0.7
...Other Hispanic or Latino D075 493,811 10.6 14,792,258 4.5
..Not Hispanic or Latino D076 2,663,984 56.9 267,208,288 81.8
...White alone D077 1,356,752 29.0 196,251,375 60.1
...Black or African American alone D078 865,997 18.5 39,994,653 12.2
...American Indian and Alaska Native alone D079 7,240 0.2 2,075,852 0.6
...Asian alone D080 327,086 7.0 18,184,182 5.6
...Native Hawaiian and Other Pacific Islander alone D081 2,261 0.0 550,080 0.2
...Some other race alone D082 13,018 0.3 1,017,604 0.3
...Two or more races D083 91,630 2.0 9,134,542 2.8
....Two races including Some other race D084 10,331 0.2 827,762 0.3
....Two races excluding Some other race, and Three or more races D085 81,299 1.7 8,306,780 2.5
     
.Total housing units D086 1,795,219 100.0 138,432,751 100.0
     
CITIZEN, VOTING AGE POPULATION      
.Citizen, 18 and over population D087 2,760,045 100.0 233,440,758 100.0
..Male D088 1,337,360 48.5 113,241,206 48.5
..Female D089 1,422,685 51.5 120,199,552 51.5


2.2. Social Characteristics .. goto topics
.. families/households, education, enrollment, fertility, disability, language spoken, mobility, foreign born, ancestry characteristics
    and related social attributes.
.. based on ACS 2020 5-year data (ACS). Negative cell value indicates NA.
SOCIAL CHARACTERISTICS (DP2) ItemCode County Estimate County Percent U.S. Estimate U.S. Percent
HOUSEHOLDS BY TYPE      
.Total households S001 1,635,749 100.0 122,354,219 100.0
..Married-couple family S002 766,641 46.9 58,807,003 48.1
...With own children of the householder under 18 years S003 -1   -1  
..Cohabiting couple household S004 100,831 6.2 7,958,647 6.5
...With own children of the householder under 18 years S005 -1   -1  
..Male householder, no spouse/partner present S006 312,369 19.1 21,780,170 17.8
...With own children of the householder under 18 years S007 -1   -1  
...Householder living alone S008 209,938 12.8 15,296,800 12.5
....65 years and over S009 38,419 2.3 4,441,899 3.6
..Female householder, no spouse/partner present S010 455,908 27.9 33,808,399 27.6
...With own children of the householder under 18 years S011 -1   -1  
...Householder living alone S012 219,802 13.4 18,957,732 15.5
....65 years and over S013 78,620 4.8 9,335,513 7.6
     
..Households with one or more people under 18 years S014 614,557 37.6 37,598,741 30.7
..Households with one or more people 65 years and over S015 357,240 21.8 36,861,827 30.1
     
..Average household size S016 2.84   2.60  
..Average family size S017 3.49   3.21  
     
RELATIONSHIP      
.Population in households S018 4,639,704 100.0 318,495,974 100.0
..Householder S019 1,635,749 35.3 122,354,219 38.4
..Spouse S020 764,743 16.5 58,717,034 18.4
..Unmarried partner S021 102,606 2.2 8,048,864 2.5
..Child S022 1,576,008 34.0 94,445,052 29.7
..Other relatives S023 426,929 9.2 23,202,220 7.3
..Other nonrelatives S024 133,669 2.9 11,728,585 3.7
     
MARITAL STATUS      
.Males 15 years and over S025 1,791,765 100.0 129,777,799 100.0
..Never married S026 699,330 39.0 47,510,293 36.6
..Now married, except separated S027 876,768 48.9 64,543,861 49.7
..Separated S028 37,502 2.1 2,052,984 1.6
..Widowed S029 34,222 1.9 3,408,813 2.6
..Divorced S030 143,943 8.0 12,261,848 9.4
     
.Females 15 years and over S031 1,841,931 100.0 136,054,368 100.0
..Never married S032 619,212 33.6 41,518,358 30.5
..Now married, except separated S033 835,799 45.4 63,348,809 46.6
..Separated S034 57,346 3.1 2,859,442 2.1
..Widowed S035 122,213 6.6 11,821,660 8.7
..Divorced S036 207,361 11.3 16,506,099 12.1
     
FERTILITY      
.Number of women 15 to 50 years old who had a birth in the past 12 months S037 70,037 100.0 3,982,654 100.0
..Unmarried women (widowed, divorced, and never married) S038 22,990 32.8 1,308,199 32.8
...Per 1,000 unmarried women S039 35 -1.0 30 -1.0
..Per 1,000 women 15 to 50 years old S040 58 -1.0 52 -1.0
..Per 1,000 women 15 to 19 years old S041 20 -1.0 11 -1.0
..Per 1,000 women 20 to 34 years old S042 95 -1.0 87 -1.0
..Per 1,000 women 35 to 50 years old S043 32 -1.0 30 -1.0
     
GRANDPARENTS      
.Number of grandparents living with own grandchildren under 18 years S044 129,507 100.0 7,187,524 100.0
..Grandparents responsible for grandchildren S045 39,984 30.9 2,400,774 33.4
..Years responsible for grandchildren
...Less than 1 year S046 6,817 5.3 427,836 6.0
...1 or 2 years S047 9,299 7.2 495,453 6.9
...3 or 4 years S048 6,911 5.3 391,577 5.4
...5 or more years S049 16,957 13.1 1,085,908 15.1
     
.Number of grandparents responsible for own grandchildren under 18 years S050 39,984 100.0 2,400,774 100.0
..Who are female S051 25,424 63.6 1,518,284 63.2
..Who are married S052 27,552 68.9 1,646,934 68.6
     
SCHOOL ENROLLMENT      
.Population 3 years and over enrolled in school S053 1,283,967 100.0 80,497,960 100.0
..Nursery school, preschool S054 75,018 5.8 4,879,858 6.1
..Kindergarten S055 69,273 5.4 4,003,118 5.0
..Elementary school (grades 1-8) S056 555,817 43.3 32,506,623 40.4
..High school (grades 9-12) S057 273,706 21.3 16,879,255 21.0
..College or graduate school S058 310,153 24.2 22,229,106 27.6
     
EDUCATIONAL ATTAINMENT      
.Population 25 years and over S059 2,995,908 100.0 222,836,834 100.0
..Less than 9th grade S060 305,321 10.2 10,923,030 4.9
..9th to 12th grade, no diploma S061 238,790 8.0 14,639,650 6.6
..High school graduate (includes equivalency) S062 683,675 22.8 59,421,419 26.7
..Some college, no degree S063 588,600 19.6 45,242,162 20.3
..Associate's degree S064 212,930 7.1 19,254,254 8.6
..Bachelor's degree S065 613,469 20.5 45,034,610 20.2
..Graduate or professional degree S066 353,123 11.8 28,321,709 12.7
     
..High school graduate or higher S067 2,451,797 81.8 197,274,154 88.5
..Bachelor's degree or higher S068 966,592 32.3 73,356,319 32.9
     
VETERAN STATUS      
.Civilian population 18 years and over S069 3,429,032 100.0 252,130,477 100.0
..Civilian veterans S070 156,267 4.6 17,835,456 7.1
     
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION      
.Total Civilian Noninstitutionalized Population S071 4,657,343 100.0 321,525,041 100.0
..With a disability S072 438,684 9.4 40,786,461 12.7
     
.Under 18 years S073 1,248,234 100.0 73,163,121 100.0
..With a disability S074 46,642 3.7 3,166,556 4.3
     
.18 to 64 years S075 2,924,015 100.0 197,289,696 100.0
..With a disability S076 229,751 7.9 20,231,217 10.3
     
.65 years and over S077 485,094 100.0 51,072,224 100.0
..With a disability S078 162,291 33.5 17,388,688 34.0
     
RESIDENCE 1 YEAR AGO      
.Population 1 year and over S079 4,615,802 100.0 322,943,283 100.0
..Same house S080 3,902,169 84.5 278,285,887 86.2
..Different house in the U.S. or abroad S081 713,633 15.5 44,657,396 13.8
..Different house in the U.S. S082 666,564 14.4 42,714,733 13.2
...Same county S083 504,712 10.9 24,840,584 7.7
...Different county S084 161,852 3.5 17,874,149 5.5
....Same state S085 95,375 2.1 10,445,339 3.2
....Different state S086 66,477 1.4 7,428,810 2.3
..Abroad S087 47,069 1.0 1,942,663 0.6
     
PLACE OF BIRTH      
.Total population S088 4,680,609 100.0 326,569,308 100.0
..Native S089 3,464,607 74.0 282,443,680 86.5
...Born in United States S090 3,390,115 72.4 277,155,748 84.9
....State of residence S091 2,494,952 53.3 189,976,546 58.2
....Different state S092 895,163 19.1 87,179,202 26.7
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s) S093 74,492 1.6 5,287,932 1.6
..Foreign born S094 1,216,002 26.0 44,125,628 13.5
     
U.S. CITIZENSHIP STATUS      
.Foreign-born population S095 1,216,002 100.0 44,125,628 100.0
..Naturalized U.S. citizen S096 467,597 38.5 22,456,684 50.9
..Not a U.S. citizen S097 748,405 61.5 21,668,944 49.1
     
YEAR OF ENTRY      
.Population born outside the United States S098 1,290,494 100.0 49,413,560 100.0
     
..Native S099 74,492 100.0 5,287,932 100.0
...Entered 2010 or later S100 26,338 35.4 1,258,153 23.8
...Entered before 2010 S101 48,154 64.6 4,029,779 76.2
     
..Foreign born S102 1,216,002 100.0 44,125,628 100.0
...Entered 2010 or later S103 328,111 27.0 10,044,458 22.8
...Entered before 2010 S104 887,891 73.0 34,081,170 77.2
     
WORLD REGION OF BIRTH OF FOREIGN BORN      
.Foreign-born population, excluding population born at sea S105 1,216,002 100.0 44,125,120 100.0
..Europe S106 46,536 3.8 4,784,383 10.8
..Asia S107 264,557 21.8 13,794,873 31.3
..Africa S108 73,175 6.0 2,362,292 5.4
..Oceania S109 3,296 0.3 283,505 0.6
..Latin America S110 818,903 67.3 22,073,519 50.0
..Northern America S111 9,535 0.8 826,548 1.9
     
LANGUAGE SPOKEN AT HOME      
.Population 5 years and over S112 4,329,843 100.0 306,919,116 100.0
..English only S113 2,406,351 55.6 240,826,040 78.5
..Language other than English S114 1,923,492 44.4 66,093,076 21.5
...Speak English less than very well S115 855,473 19.8 25,312,024 8.2
..Spanish S116 1,513,384 35.0 40,537,337 13.2
...Speak English less than very well S117 702,905 16.2 15,949,582 5.2
..Other Indo-European languages S118 137,163 3.2 11,270,634 3.7
...Speak English less than very well S119 33,830 0.8 3,422,525 1.1
..Asian and Pacific Islander languages S120 201,182 4.6 10,800,470 3.5
...Speak English less than very well S121 97,938 2.3 4,886,876 1.6
..Other languages S122 71,763 1.7 3,484,635 1.1
...Speak English less than very well S123 20,800 0.5 1,053,041 0.3
     
ANCESTRY      
.Total population S124 4,680,609 100.0 326,569,308 100.0
..American S125 176,513 3.8 19,364,103 5.9
..Arab S126 40,459 0.9 2,056,594 0.6
..Czech S127 24,201 0.5 1,329,130 0.4
..Danish S128 7,144 0.2 1,244,498 0.4
..Dutch S129 22,701 0.5 3,692,889 1.1
..English S130 215,513 4.6 25,213,619 7.7
..French (except Basque) S131 82,084 1.8 7,374,976 2.3
..French Canadian S132 10,562 0.2 1,998,012 0.6
..German S133 284,147 6.1 42,589,571 13.0
..Greek S134 9,230 0.2 1,249,194 0.4
..Hungarian S135 5,093 0.1 1,348,198 0.4
..Irish S136 201,692 4.3 31,518,129 9.7
..Italian S137 79,928 1.7 16,549,022 5.1
..Lithuanian S138 2,927 0.1 626,937 0.2
..Norwegian S139 18,407 0.4 4,289,825 1.3
..Polish S140 46,193 1.0 8,936,002 2.7
..Portuguese S141 5,371 0.1 1,363,964 0.4
..Russian S142 15,130 0.3 2,538,436 0.8
..Scotch-Irish S143 28,542 0.6 2,937,156 0.9
..Scottish S144 48,043 1.0 5,298,861 1.6
..Slovak S145 2,038 0.0 658,740 0.2
..Subsaharan African S146 96,075 2.1 3,809,930 1.2
..Swedish S147 17,850 0.4 3,627,796 1.1
..Swiss S148 4,462 0.1 908,570 0.3
..Ukrainian S149 3,782 0.1 1,015,209 0.3
..Welsh S150 14,164 0.3 1,851,256 0.6
..West Indian (excluding Hispanic origin groups) S151 25,959 0.6 3,008,035 0.9
     
COMPUTERS AND INTERNET USE      
.Total households S152 1,635,749 100.0 122,354,219 100.0
..With a computer S153 1,527,979 93.4 112,398,526 91.9
..With a broadband Internet subscription S154 1,420,815 86.9 104,302,759 85.2


2.3. Economic Characteristics .. goto topics
.. labor force, employment by industry/occupation, income, commuting, health insurance, poverty characteristics
    and related economic attributes.
.. based on ACS 2020 5-year data (ACS). Negative cell value indicates NA.
ECONOMIC CHARACTERISTICS (DP3) ItemCode County Estimate County Percent U.S. Estimate U.S. Percent
EMPLOYMENT STATUS      
.Population 16 years and over E001 3,565,983 100.0 261,649,873 100.0
..In labor force E002 2,404,155 67.4 165,902,838 63.4
...Civilian labor force E003 2,401,529 67.3 164,759,496 63.0
....Employed E004 2,253,218 63.2 155,888,980 59.6
....Unemployed E005 148,311 4.2 8,870,516 3.4
...Armed Forces E006 2,626 0.1 1,143,342 0.4
..Not in labor force E007 1,161,828 32.6 95,747,035 36.6
     
.Civilian labor force E008 2,401,529 100.0 164,759,496 100.0
..Unemployment Rate E009 6.20   5.40  
     
.Females 16 years and over E010 1,809,979 100.0 134,001,493 100.0
..In labor force E011 1,075,177 59.4 78,484,558 58.6
...Civilian labor force E012 1,074,695 59.4 78,314,931 58.4
....Employed E013 1,005,634 55.6 74,173,483 55.4
     
.Own children of the householder under 6 years E014 402,793 100.0 22,558,766 100.0
..All parents in family in labor force E015 238,174 59.1 15,045,945 66.7
     
.Own children of the householder 6 to 17 years E016 791,427 100.0 46,908,286 100.0
..All parents in family in labor force E017 521,542 65.9 33,697,040 71.8
     
COMMUTING TO WORK      
.Workers 16 years and over E018 2,209,641 100.0 153,665,654 100.0
..Car, truck, or van -- drove alone E019 1,724,489 78.0 115,127,720 74.9
..Car, truck, or van -- carpooled E020 222,675 10.1 13,605,122 8.9
..Public transportation (excluding taxicab) E021 53,012 2.4 7,044,886 4.6
..Walked E022 31,314 1.4 3,954,692 2.6
..Other means E023 41,044 1.9 2,780,139 1.8
..Worked from home E024 137,107 6.2 11,153,095 7.3
     
..Mean travel time to work (minutes) E025 29.20   26.90  
     
OCCUPATION      
.Civilian employed population 16 years and over E026 2,253,218 100.0 155,888,980 100.0
..Management, business, science, and arts occupations E027 842,658 37.4 61,526,906 39.5
..Service occupations E028 379,270 16.8 27,095,654 17.4
..Sales and office occupations E029 472,800 21.0 33,247,878 21.3
..Natural resources, construction, and maintenance occupations E030 256,023 11.4 13,620,436 8.7
..Production, transportation, and material moving occupations E031 302,467 13.4 20,398,106 13.1
     
INDUSTRY      
.Civilian employed population 16 years and over E032 2,253,218 100.0 155,888,980 100.0
..Agriculture, forestry, fishing and hunting, and mining E033 69,308 3.1 2,658,413 1.7
..Construction E034 231,660 10.3 10,416,196 6.7
..Manufacturing E035 209,868 9.3 15,617,461 10.0
..Wholesale trade E036 73,318 3.3 3,971,773 2.5
..Retail trade E037 237,070 10.5 17,195,083 11.0
..Transportation and warehousing, and utilities E038 148,997 6.6 8,576,862 5.5
..Information E039 27,765 1.2 3,066,743 2.0
..Finance and insurance, and real estate and rental and leasing E040 137,430 6.1 10,319,201 6.6
..Professional, scientific, and management, and administrative and waste management services E041 294,650 13.1 18,312,454 11.7
..Educational services, and health care and social assistance E042 439,995 19.5 36,315,080 23.3
..Arts, entertainment, and recreation, and accommodation and food services E043 201,747 9.0 14,651,909 9.4
..Other services, except public administration E044 124,609 5.5 7,516,616 4.8
..Public administration E045 56,801 2.5 7,271,189 4.7
     
CLASS OF WORKER      
.Civilian employed population 16 years and over E046 2,253,218 100.0 155,888,980 100.0
..Private wage and salary workers E047 1,862,487 82.7 124,611,544 79.9
..Government workers E048 233,847 10.4 21,743,101 13.9
..Self-employed in own not incorporated business workers E049 152,389 6.8 9,243,835 5.9
..Unpaid family workers E050 4,495 0.2 290,500 0.2
     
INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS)      
.Total households E051 1,635,749 100.0 122,354,219 100.0
..Less than $10,000 E052 98,042 6.0 7,145,751 5.8
..$10,000 to $14,999 E053 58,506 3.6 5,020,097 4.1
..$15,000 to $24,999 E054 139,313 8.5 10,359,700 8.5
..$25,000 to $34,999 E055 154,098 9.4 10,569,484 8.6
..$35,000 to $49,999 E056 204,211 12.5 14,690,382 12.0
..$50,000 to $74,999 E057 286,259 17.5 21,034,779 17.2
..$75,000 to $99,999 E058 198,645 12.1 15,613,243 12.8
..$100,000 to $149,999 E059 240,661 14.7 19,128,938 15.6
..$150,000 to $199,999 E060 109,795 6.7 8,688,154 7.1
..$200,000 or more E061 146,219 8.9 10,103,691 8.3
..Median household income (dollars) E062 63,022   64,994  
..Mean household income (dollars) E063 93,184   91,547  
     
..With earnings E064 1,409,668 86.2 95,088,085 77.7
...Mean earnings (dollars) E065 93,182   93,265  
..With Social Security E066 342,533 20.9 38,442,718 31.4
...Mean Social Security income (dollars) E067 19,379   20,126  
..With retirement income E068 207,975 12.7 25,872,444 21.1
...Mean retirement income (dollars) E069 27,144   28,376  
     
..With Supplemental Security Income E070 67,462 4.1 6,403,843 5.2
...Mean Supplemental Security Income (dollars) E071 9,683   10,115  
..With cash public assistance income E072 29,069 1.8 2,995,159 2.4
...Mean cash public assistance income (dollars) E073 2,856   3,271  
..With Food Stamp/SNAP benefits in the past 12 months E074 206,773 12.6 13,892,407 11.4
     
.Families E075 1,113,437 100.0 79,849,830 100.0
..Less than $10,000 E076 50,398 4.5 2,784,559 3.5
..$10,000 to $14,999 E077 28,731 2.6 1,737,891 2.2
..$15,000 to $24,999 E078 79,049 7.1 4,608,727 5.8
..$25,000 to $34,999 E079 95,078 8.5 5,671,464 7.1
..$35,000 to $49,999 E080 129,311 11.6 8,744,513 11.0
..$50,000 to $74,999 E081 184,723 16.6 13,857,979 17.4
..$75,000 to $99,999 E082 143,100 12.9 11,445,632 14.3
..$100,000 to $149,999 E083 188,666 16.9 15,185,857 19.0
..$150,000 to $199,999 E084 91,163 8.2 7,235,024 9.1
..$200,000 or more E085 123,218 11.1 8,578,184 10.7
..Median family income (dollars) E086 73,274   80,069  
..Mean family income (dollars) E087 105,534   107,335  
     
.Per capita income (dollars) E088 33,459   35,384  
     
.Nonfamily households E089 522,312 100.0 42,504,389 100.0
..Median nonfamily income (dollars) E090 43,488   39,027  
..Mean nonfamily income (dollars) E091 62,435   57,648  
     
.Median earnings for workers (dollars) E092 35,355   36,280  
.Median earnings for male full-time, year-round workers (dollars) E093 51,281   54,323  
.Median earnings for female full-time, year-round workers (dollars) E094 42,473   44,220  
     
HEALTH INSURANCE COVERAGE      
.Civilian noninstitutionalized population E095 4,657,343 100.0 321,525,041 100.0
..With health insurance coverage E096 3,705,775 79.6 293,466,138 91.3
...With private health insurance E097 2,691,060 57.8 218,830,578 68.1
...With public coverage E098 1,301,067 27.9 113,410,193 35.3
..No health insurance coverage E099 951,568 20.4 28,058,903 8.7
     
.Civilian noninstitutionalized population under 19 years E100 1,310,604 100.0 77,582,280 100.0
..No health insurance coverage E101 167,171 12.8 4,016,835 5.2
     
.Civilian noninstitutionalized population 19 to 64 years E102 2,861,645 100.0 192,870,537 100.0
..In labor force: E103 2,239,378 100.0 150,997,488 100.0
...Employed: E104 2,108,287 100.0 143,214,283 100.0
....With health insurance coverage E105 1,608,316 76.3 127,785,204 89.2
.....With private health insurance E106 1,517,886 72.0 116,559,349 81.4
.....With public coverage E107 126,546 6.0 15,001,155 10.5
....No health insurance coverage E108 499,971 23.7 15,429,079 10.8
...Unemployed: E109 131,091 100.0 7,783,205 100.0
....With health insurance coverage E110 69,051 52.7 5,696,312 73.2
.....With private health insurance E111 49,823 38.0 3,265,196 42.0
.....With public coverage E112 21,717 16.6 2,677,987 34.4
....No health insurance coverage E113 62,040 47.3 2,086,893 26.8
..Not in labor force: E114 622,267 100.0 41,873,049 100.0
...With health insurance coverage E115 415,446 66.8 35,748,538 85.4
....With private health insurance E116 281,978 45.3 21,659,932 51.7
....With public coverage E117 156,768 25.2 17,036,758 40.7
...No health insurance coverage E118 206,821 33.2 6,124,511 14.6
     
PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL      
.All families E119 12.7   9.1  
..With related children of the householder under 18 years E120 18.2   14.3  
...With related children of the householder under 5 years only E121 15.6   13.5  
..Married couple families E122 7.2   4.6  
...With related children of the householder under 18 years E123 9.6   6.2  
....With related children of the householder under 5 years only E124 6.7   4.8  
..Families with female householder, no spouse present E125 29.0   25.1  
...With related children of the householder under 18 years E126 38.3   34.4  
....With related children of the householder under 5 years only E127 40.4   38.8  
     
.All people E128 15.6   12.8  
..Under 18 years E129 22.9   17.5  
...Related children of the householder under 18 years E130 22.7   17.2  
....Related children of the householder under 5 years E131 24.1   19.1  
....Related children of the householder 5 to 17 years E132 22.1   16.4  
..18 years and over E133 13.0   11.5  
...18 to 64 years E134 13.2   12.1  
...65 years and over E135 11.7   9.3  
..People in families E136 14.2   10.1  
..Unrelated individuals 15 years and over E137 22.7   24.2  


2.4. Housing Situation.. goto topics

2.4.1. New Authorized Residential Construction.. goto topics
.. updated monthly based on data reported by local governments. Compare monthly data for 2020 through October 2022; next update December 26, 2022 (November 2022 data). Table below saved as c:\dede\1\48201bp.csv.
Units in StructureJan-20Feb-20Mar-20Apr-20May-20Jun-20Jul-20Aug-20Sep-20Oct-20Nov-20Dec-20
Single Family, Buildings 1,359 1,452 1,682 1,259 1,394 1,805 2,176 2,108 1,938 1,988 1,445 2,012
Single Family, Units 1,359 1,452 1,682 1,259 1,394 1,805 2,176 2,108 1,938 1,988 1,445 2,012
Single Family, Value 285,733 300,105 356,369 246,134 260,285 344,041 409,181 396,114 386,788 428,254 290,456 379,342
2 Unit, Buildings 7 11 18 18 17 14 20 23 20 28 31 10
2 Unit, Units 14 22 36 36 34 28 40 46 40 56 62 20
2 Unit, Value 2,011 2,597 3,703 4,579 3,951 2,982 4,394 380 3,662 5,319 6,572 2,094
3-4 Unit, Buildings 0 0 0 0 0 0 0 0 1 0 0 0
3-4 Unit, Units 0 0 0 0 0 0 0 0 3 0 0 0
3-4 Unit, Value 0 0 0 0 0 0 0 0 475 0 0 0
5+ Unit, Buildings 22 15 58 22 16 61 22 19 25 23 16 26
5+ Unit, Units 1,156 879 2,599 950 1,520 1,525 1,316 905 1,525 1,058 659 1,396
5+ Unit, Value 167,211 144,272 327,609 120,161 229,911 203,858 135,983 97,738 123,691 176,343 54,632 160,329

Units in StructureJan-21Feb-21Mar-21Apr-21May-21Jun-21Jul-21Aug-21Sep-21Oct-21Nov-21Dec-21
Single Family, Buildings 1,645 1,531 2,127 2,228 1,953 1,705 1,796 1,859 1,458 1,647 1,523 1,689
Single Family, Units 1,645 1,531 2,127 2,228 1,953 1,705 1,796 1,859 1,458 1,647 1,523 1,689
Single Family, Value 375,654 310,409 446,768 457,410 424,588 392,194 406,361 409,670 314,025 362,946 341,897 385,442
2 Unit, Buildings 32 9 26 26 17 27 8 21 28 19 18 30
2 Unit, Units 64 18 52 52 34 54 16 42 56 38 36 60
2 Unit, Value 7,697 1,899 6,143 5,878 3,435 6,350 1,553 4,801 6,049 4,634 4,385 6,226
3-4 Unit, Buildings 0 0 0 0 0 0 1 0 6 2 0 0
3-4 Unit, Units 0 0 0 0 0 0 3 0 24 7 0 0
3-4 Unit, Value 0 0 0 0 0 0 786 0 3,236 1,207 0 0
5+ Unit, Buildings 23 15 12 26 15 11 19 44 3 28 30 68
5+ Unit, Units 542 852 300 1,607 372 698 2,041 2,253 225 860 510 2,672
5+ Unit, Value 54,963 73,128 20,757 125,960 30,924 64,854 258,664 249,626 43,771 108,663 48,015 221,647

Units in StructureJan-22Feb-22Mar-22Apr-22May-22Jun-22Jul-22Aug-22Sep-22Oct-22Nov-22Dec-22
Single Family, Buildings 1,884 1,927 2,014 1,664 1,806 1,584 1,221 1,449 1,118 1,524 0 0
Single Family, Units 1,884 1,927 2,014 1,664 1,806 1,584 1,221 1,449 1,118 1,524 0 0
Single Family, Value 405,250 451,142 465,082 401,792 427,273 373,832 287,842 401,898 300,366 359,529 0 0
2 Unit, Buildings 29 20 22 11 22 40 26 33 22 79 0 0
2 Unit, Units 58 40 44 22 44 80 52 66 44 158 0 0
2 Unit, Value 7,268 5,016 4,507 1,624 2,080 11,264 8,825 10,952 939 1,510 0 0
3-4 Unit, Buildings 0 0 0 0 3 1 0 0 0 0 0 0
3-4 Unit, Units 0 0 0 0 12 4 0 0 0 0 0 0
3-4 Unit, Value 0 0 0 0 1,139 350 0 0 0 0 0 0
5+ Unit, Buildings 33 25 57 51 37 83 63 40 48 20 0 0
5+ Unit, Units 952 1,605 1,867 1,068 1,027 3,124 1,953 1,781 2,196 1,841 0 0
5+ Unit, Value 122,431 181,508 191,626 122,703 79,248 313,774 238,627 229,691 253,796 135,500 0 0


2.4.1a. New Authorized Residential Construction.. goto topics
Annual for County
Units in Structure2015201620172018201920202021
Single Family, Buildings 16,721 15,511 16,980 17,732 17,903 20,834 21,260
Single Family, Units 16,721 15,511 16,980 17,732 17,903 20,834 21,260
Single Family, Value 314,777 287,470 311,513 365,728 359,308 405,423 463,632
2 Unit, Buildings 104 63 70 109 145 112 256
2 Unit, Units 208 126 140 218 290 224 512
2 Unit, Value 22,010 15,574 19,301 26,123 33,276 18,028 57,837
3-4 Unit, Buildings 25 32 24 20 9 1 7
3-4 Unit, Units 82 120 95 80 36 3 27
3-4 Unit, Value 9,427 15,928 11,284 11,171 2,440 475 4,105
5+ Unit, Buildings 515 147 122 373 437 455 410
5+ Unit, Units 16,964 6,904 5,603 16,119 19,526 15,900 13,405
5+ Unit, Value 1,614,384 777,304 733,460 1,853,809 2,172,826 1,644,097 1,276,380


2.4.2. Housing Characteristics .. goto topics
.. units in structure, year built, year moved into unit, rooms in unit, vehicles available, occupancy/vacancy, owner/renter, value, rent characteristics
    and related housing attributes.
.. based on ACS 2020 5-year data (ACS). Negative cell value indicates NA.
HOUSING CHARACTERISTICS (DP4) ItemCode County Estimate County Percent U.S. Estimate U.S. Percent
HOUSING OCCUPANCY      
.Total housing units H001 1,795,219 100.0 138,432,751 100.0
..Occupied housing units H002 1,635,749 91.1 122,354,219 88.4
..Vacant housing units H003 159,470 8.9 16,078,532 11.6
     
..Homeowner vacancy rate H004 1.50   1.40  
..Rental vacancy rate H005 8.70   5.80  
     
UNITS IN STRUCTURE      
.Total housing units H006 1,795,219 100.0 138,432,751 100.0
..1-unit, detached H007 1,032,401 57.5 85,438,643 61.7
..1-unit, attached H008 66,720 3.7 8,222,495 5.9
..2 units H009 22,982 1.3 4,868,926 3.5
..3 or 4 units H010 58,583 3.3 5,989,331 4.3
..5 to 9 units H011 103,884 5.8 6,398,241 4.6
..10 to 19 units H012 172,928 9.6 5,988,959 4.3
..20 or more units H013 289,572 16.1 13,018,590 9.4
..Mobile home H014 47,027 2.6 8,374,539 6.0
..Boat, RV, van, etc. H015 1,122 0.1 133,027 0.1
     
YEAR STRUCTURE BUILT      
.Total housing units H016 1,795,219 100.0 138,432,751 100.0
..Built 2014 or later H017 119,407 6.7 4,826,244 3.5
..Built 2010 to 2013 H018 85,110 4.7 3,772,330 2.7
..Built 2000 to 2009 H019 330,198 18.4 18,872,283 13.6
..Built 1990 to 1999 H020 231,690 12.9 19,229,676 13.9
..Built 1980 to 1989 H021 288,060 16.0 18,484,475 13.4
..Built 1970 to 1979 H022 329,294 18.3 20,811,073 15.0
..Built 1960 to 1969 H023 172,916 9.6 14,506,264 10.5
..Built 1950 to 1959 H024 133,584 7.4 14,087,506 10.2
..Built 1940 to 1949 H025 56,264 3.1 6,658,408 4.8
..Built 1939 or earlier H026 48,696 2.7 17,184,492 12.4
     
ROOMS      
.Total housing units H027 1,795,219 100.0 138,432,751 100.0
..1 room H028 44,559 2.5 3,250,217 2.3
..2 rooms H029 63,625 3.5 3,910,325 2.8
..3 rooms H030 243,827 13.6 12,459,781 9.0
..4 rooms H031 306,608 17.1 22,231,547 16.1
..5 rooms H032 302,715 16.9 26,672,922 19.3
..6 rooms H033 308,626 17.2 24,582,222 17.8
..7 rooms H034 190,094 10.6 16,793,623 12.1
..8 rooms H035 145,962 8.1 12,195,373 8.8
..9 rooms or more H036 189,203 10.5 16,336,741 11.8
..Median rooms H037 5.3   5.5  
     
BEDROOMS      
.Total housing units H038 1,795,219 100.0 138,432,751 100.0
..No bedroom H039 47,429 2.6 3,588,040 2.6
..1 bedroom H040 318,380 17.7 14,957,832 10.8
..2 bedrooms H041 400,008 22.3 35,542,796 25.7
..3 bedrooms H042 607,393 33.8 54,448,649 39.3
..4 bedrooms H043 350,012 19.5 23,528,958 17.0
..5 or more bedrooms H044 71,997 4.0 6,366,476 4.6
     
HOUSING TENURE      
.Occupied housing units H045 1,635,749 100.0 122,354,219 100.0
..Owner-occupied H046 897,913 54.9 78,801,376 64.4
..Renter-occupied H047 737,836 45.1 43,552,843 35.6
     
..Average household size of owner-occupied unit H048 3.04   2.69  
..Average household size of renter-occupied unit H049 2.58   2.45  
     
YEAR HOUSEHOLDER MOVED INTO UNIT      
.Occupied housing units H050 1,635,749 100.0 122,354,219 100.0
..Moved in 2017 or later H051 107,834 6.6 5,926,790 4.8
..Moved in 2015 to 2016 H052 563,603 34.5 34,811,034 28.5
..Moved in 2010 to 2014 H053 338,711 20.7 24,361,511 19.9
..Moved in 2000 to 2009 H054 347,476 21.2 27,220,198 22.2
..Moved in 1990 to 1999 H055 149,408 9.1 14,760,836 12.1
..Moved in 1989 and earlier H056 128,717 7.9 15,273,850 12.5
     
VEHICLES AVAILABLE      
.Occupied housing units H057 1,635,749 100.0 122,354,219 100.0
..No vehicles available H058 99,901 6.1 10,344,521 8.5
..1 vehicle available H059 570,937 34.9 39,756,914 32.5
..2 vehicles available H060 635,434 38.8 45,389,464 37.1
..3 or more vehicles available H061 329,477 20.1 26,863,320 22.0
     
HOUSE HEATING FUEL      
.Occupied housing units H062 1,635,749 100.0 122,354,219 100.0
..Utility gas H063 694,473 42.5 58,269,718 47.6
..Bottled, tank, or LP gas H064 16,522 1.0 5,925,357 4.8
..Electricity H065 910,213 55.6 48,141,177 39.3
..Fuel oil, kerosene, etc. H066 896 0.1 5,599,403 4.6
..Coal or coke H067 254 0.0 114,177 0.1
..Wood H068 610 0.0 2,075,845 1.7
..Solar energy H069 811 0.0 222,369 0.2
..Other fuel H070 1,406 0.1 600,652 0.5
..No fuel used H071 10,564 0.6 1,405,521 1.1
     
SELECTED CHARACTERISTICS      
.Occupied housing units H072 1,635,749 100.0 122,354,219 100.0
..Lacking complete plumbing facilities H073 5,898 0.4 460,275 0.4
..Lacking complete kitchen facilities H074 11,382 0.7 1,016,528 0.8
..No telephone service available H075 26,705 1.6 1,976,696 1.6
     
OCCUPANTS PER ROOM      
.Occupied housing units H076 1,635,749 100.0 122,354,219 100.0
..1.00 or less H077 1,539,941 94.1 118,293,570 96.7
..1.01 to 1.50 H078 67,524 4.1 2,722,626 2.2
..1.51 or more H079 28,284 1.7 1,338,023 1.1
     
VALUE      
.Owner-occupied units H080 897,913 100.0 78,801,376 100.0
..Less than $50,000 H081 42,362 4.7 5,172,474 6.6
..$50,000 to $99,999 H082 105,359 11.7 8,698,428 11.0
..$100,000 to $149,999 H083 156,296 17.4 9,730,077 12.3
..$150,000 to $199,999 H084 178,847 19.9 10,727,302 13.6
..$200,000 to $299,999 H085 195,015 21.7 15,730,458 20.0
..$300,000 to $499,999 H086 131,171 14.6 16,173,336 20.5
..$500,000 to $999,999 H087 61,204 6.8 9,682,662 12.3
..$1,000,000 or more H088 27,659 3.1 2,886,639 3.7
..Median (dollars) H089 189,400   229,800  
     
MORTGAGE STATUS      
.Owner-occupied units H090 897,913 100.0 78,801,376 100.0
..Housing units with a mortgage H091 530,400 59.1 48,974,364 62.1
..Housing units without a mortgage H092 367,513 40.9 29,827,012 37.9
     
SELECTED MONTHLY OWNER COSTS (SMOC)      
.Housing units with a mortgage H093 530,400 100.0 48,974,364 100.0
..Less than $500 H094 2,744 0.5 568,141 1.2
..$500 to $999 H095 50,464 9.5 8,020,937 16.4
..$1,000 to $1,499 H096 149,857 28.3 13,146,307 26.8
..$1,500 to $1,999 H097 142,074 26.8 10,324,027 21.1
..$2,000 to $2,499 H098 74,111 14.0 6,485,860 13.2
..$2,500 to $2,999 H099 41,094 7.7 3,999,769 8.2
..$3,000 or more H100 70,056 13.2 6,429,323 13.1
..Median (dollars) H101 1,694   1,621  
     
.Housing units without a mortgage H102 367,513 100.0 29,827,012 100.0
..Less than $250 H103 35,321 9.6 3,317,647 11.1
..$250 to $399 H104 61,980 16.9 6,680,713 22.4
..$400 to $599 H105 93,720 25.5 8,428,059 28.3
..$600 to $799 H106 69,327 18.9 5,014,006 16.8
..$800 to $999 H107 41,299 11.2 2,660,659 8.9
..$1,000 or more H108 65,866 17.9 3,725,928 12.5
..Median (dollars) H109 584   509  
     
SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI)      
.Housing units with a mortgage (excluding units where SMOCAPI cannot be computed) H110 528,436 100.0 48,744,731 100.0
..Less than 20.0 percent H111 244,611 46.3 22,762,635 46.7
..20.0 to 24.9 percent H112 84,127 15.9 7,593,802 15.6
..25.0 to 29.9 percent H113 54,518 10.3 5,044,205 10.3
..30.0 to 34.9 percent H114 33,718 6.4 3,314,853 6.8
..35.0 percent or more H115 111,462 21.1 10,029,236 20.6
     
..Not computed H116 1,964 -1.0 229,633 -1.0
     
.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed) H117 362,498 100.0 29,428,138 100.0
..Less than 10.0 percent H118 170,938 47.2 13,449,955 45.7
..10.0 to 14.9 percent H119 70,257 19.4 5,686,876 19.3
..15.0 to 19.9 percent H120 36,788 10.1 3,208,798 10.9
..20.0 to 24.9 percent H121 23,657 6.5 1,935,622 6.6
..25.0 to 29.9 percent H122 14,054 3.9 1,248,280 4.2
..30.0 to 34.9 percent H123 10,378 2.9 834,409 2.8
..35.0 percent or more H124 36,426 10.0 3,064,198 10.4
     
..Not computed H125 5,015 -1.0 398,874 -1.0
     
GROSS RENT      
.Occupied units paying rent H126 716,666 100.0 41,390,514 100.0
..Less than $500 H127 25,671 3.6 3,679,331 8.9
..$500 to $999 H128 256,351 35.8 14,206,622 34.3
..$1,000 to $1,499 H129 274,196 38.3 12,515,982 30.2
..$1,500 to $1,999 H130 115,480 16.1 6,187,736 14.9
..$2,000 to $2,499 H131 27,320 3.8 2,558,549 6.2
..$2,500 to $2,999 H132 8,892 1.2 1,088,264 2.6
..$3,000 or more H133 8,756 1.2 1,154,030 2.8
..Median (dollars) H134 1,115   1,096  
     
..No rent paid H135 21,170 -1.0 2,162,329 -1.0
     
GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI)      
.Occupied units paying rent (excluding units where GRAPI cannot be computed) H136 699,042 100.0 40,484,226 100.0
..Less than 15.0 percent H137 84,188 12.0 5,405,002 13.4
..15.0 to 19.9 percent H138 91,088 13.0 5,254,304 13.0
..20.0 to 24.9 percent H139 89,631 12.8 5,227,400 12.9
..25.0 to 29.9 percent H140 82,878 11.9 4,711,468 11.6
..30.0 to 34.9 percent H141 63,157 9.0 3,679,430 9.1
..35.0 percent or more H142 288,100 41.2 16,206,622 40.0
     
..Not computed H143 38,794 -1.0 3,068,617 -1.0


3.1 Industry by Sector Characteristics .. goto topics
Establishments, Employment, Wages QCEW -- 2022Q1
Type of owner .. 1:Federal, 2:State, 3:Local, 5:Private. Click NAICS code link for more information about this sector.
Wages showing zero: employment & wages items suppressed (disclosure). Detail file saved as c:\dede\1\qcewarea.dbf.
      Industry by Sector Characteristics
Industry NAICS Owner Estabs Estabs% Emp Emp% Wages Wages% AWW
Total, all owners 10 0 125,549 100.0 2,290,505 100.0 50,050,675,256 100.0 1,681
Total, Federal 10 1 179 0.1 26,657 1.2 627,918,941 1.3 1,812
Total, State 10 2 76 0.1 55,964 2.4 1,258,151,771 2.5 1,729
Total, Local 10 3 324 0.3 186,413 8.1 2,688,385,515 5.4 1,109
Total, Private 10 5 124,970 99.5 2,021,470 88.3 45,476,219,029 90.9 1,731
Agriculture, forestry, fishing and hunting 11 5 256 0.2 1,686 0.1 23,720,371 0.0 1,082
Crop production 111 5 73 0.1 653 0.0 8,459,836 0.0 997
Animal production 112 5 130 0.1 532 0.0 9,553,358 0.0 1,381
Forestry and logging 113 5 4 0.0 32 0.0 446,820 0.0 1,085
Fishing, hunting and trapping 114 5 10 0.0 37 0.0 413,897 0.0 860
Agriculture and forestry support activities 115 5 39 0.0 433 0.0 4,846,460 0.0 862
Mining 21 5 1,324 1.1 50,990 2.2 3,620,175,001 7.2 5,461
Oil and gas extraction 211 5 469 0.4 25,777 1.1 2,447,289,513 4.9 7,303
Mining, except oil and gas 212 5 50 0.0 925 0.0 20,687,631 0.0 1,720
Support activities for mining 213 5 805 0.6 24,287 1.1 1,152,197,857 2.3 3,649
Utilities 22 3 46 0.0 2,240 0.1 33,777,804 0.1 1,160
Utilities 22 5 311 0.2 15,273 0.7 804,564,898 1.6 4,052
Utilities 221 3 46 0.0 2,240 0.1 33,777,804 0.1 1,160
Utilities 221 5 311 0.2 15,273 0.7 804,564,898 1.6 4,052
Construction 23 2 1 0.0 0 0.0 0 0.0 0
Construction 23 3 13 0.0 3,119 0.1 38,457,338 0.1 948
Construction 23 5 8,382 6.7 155,503 6.8 3,305,454,346 6.6 1,635
Construction of buildings 236 5 2,622 2.1 39,090 1.7 1,043,034,291 2.1 2,053
Heavy and civil engineering construction 237 2 1 0.0 0 0.0 0 0.0 0
Heavy and civil engineering construction 237 3 12 0.0 0 0.0 0 0.0 0
Heavy and civil engineering construction 237 5 773 0.6 32,246 1.4 821,870,178 1.6 1,961
Specialty trade contractors 238 3 1 0.0 0 0.0 0 0.0 0
Specialty trade contractors 238 5 4,987 4.0 84,167 3.7 1,440,549,877 2.9 1,317
Manufacturing 31-33 5 5,087 4.1 165,006 7.2 4,324,303,979 8.6 2,016
Food manufacturing 311 5 392 0.3 8,709 0.4 106,260,488 0.2 939
Beverage and tobacco product manufacturing 312 5 87 0.1 3,742 0.2 69,583,292 0.1 1,430
Textile mills 313 5 17 0.0 285 0.0 2,423,042 0.0 653
Textile product mills 314 5 84 0.1 1,114 0.0 12,446,360 0.0 860
Apparel manufacturing 315 5 50 0.0 538 0.0 6,152,915 0.0 879
Leather and allied product manufacturing 316 5 8 0.0 172 0.0 1,668,334 0.0 745
Wood product manufacturing 321 5 127 0.1 2,961 0.1 42,469,011 0.1 1,103
Paper manufacturing 322 5 32 0.0 1,599 0.1 27,102,279 0.1 1,304
Printing and related support activities 323 5 355 0.3 3,407 0.1 45,408,281 0.1 1,025
Petroleum and coal products manufacturing 324 5 69 0.1 5,549 0.2 282,835,597 0.6 3,921
Chemical manufacturing 325 5 463 0.4 25,987 1.1 1,233,690,407 2.5 3,652
Plastics and rubber products manufacturing 326 5 189 0.2 7,650 0.3 134,993,303 0.3 1,357
Nonmetallic mineral product manufacturing 327 5 181 0.1 4,274 0.2 71,088,261 0.1 1,279
Primary metal manufacturing 331 5 98 0.1 2,319 0.1 44,348,229 0.1 1,471
Fabricated metal product manufacturing 332 5 1,334 1.1 36,242 1.6 673,172,189 1.3 1,429
Machinery manufacturing 333 5 629 0.5 33,819 1.5 974,743,899 1.9 2,217
Computer and electronic product manufacturing 334 5 277 0.2 10,413 0.5 284,438,337 0.6 2,101
Electrical equipment and appliance manufacturing 335 5 130 0.1 4,620 0.2 83,812,441 0.2 1,396
Transportation equipment manufacturing 336 5 97 0.1 3,418 0.1 103,052,056 0.2 2,319
Furniture and related product manufacturing 337 5 129 0.1 2,269 0.1 27,844,146 0.1 944
Miscellaneous manufacturing 339 5 339 0.3 5,917 0.3 96,771,112 0.2 1,258
Wholesale trade 42 5 8,394 6.7 128,828 5.6 3,592,947,080 7.2 2,145
Merchant wholesalers, durable goods 423 5 5,151 4.1 81,202 3.5 2,006,681,508 4.0 1,901
Merchant wholesalers, nondurable goods 424 5 1,933 1.5 40,177 1.8 1,354,603,233 2.7 2,594
Electronic markets and agents and brokers 425 5 1,310 1.0 7,449 0.3 231,662,339 0.5 2,392
Retail trade 44-45 1 1 0.0 5 0.0 22,666 0.0 349
Retail trade 44-45 5 13,444 10.7 209,117 9.1 2,192,979,333 4.4 807
Motor vehicle and parts dealers 441 5 1,640 1.3 31,189 1.4 606,616,242 1.2 1,496
Building material and garden supply stores 444 5 649 0.5 15,907 0.7 170,992,275 0.3 827
Food and beverage stores 445 5 2,164 1.7 47,117 2.1 367,501,630 0.7 600
Food and beverage stores 449 5 1,211 1.0 16,095 0.7 220,634,079 0.4 1,055
Food and beverage stores 455 1 1 0.0 5 0.0 22,666 0.0 349
Food and beverage stores 455 5 832 0.7 39,304 1.7 325,408,777 0.7 637
Food and beverage stores 456 5 1,675 1.3 13,870 0.6 146,953,684 0.3 815
Food and beverage stores 457 5 1,819 1.4 11,037 0.5 102,025,280 0.2 711
Food and beverage stores 458 5 1,532 1.2 16,568 0.7 115,178,835 0.2 535
Food and beverage stores 459 5 1,922 1.5 18,028 0.8 137,668,531 0.3 587
Transportation and warehousing 48-49 1 98 0.1 8,535 0.4 151,315,800 0.3 1,364
Transportation and warehousing 48-49 3 19 0.0 5,789 0.3 91,898,794 0.2 1,221
Transportation and warehousing 48-49 5 4,152 3.3 122,365 5.3 2,826,564,605 5.6 1,777
Air transportation 481 5 106 0.1 18,254 0.8 502,964,854 1.0 2,120
Rail transportation 482 5 2 0.0 0 0.0 0 0.0 0
Water transportation 483 5 98 0.1 3,039 0.1 90,962,357 0.2 2,302
Truck transportation 484 5 1,964 1.6 22,976 1.0 590,409,733 1.2 1,977
Transit and ground passenger transportation 485 3 14 0.0 4,021 0.2 56,665,995 0.1 1,084
Transit and ground passenger transportation 485 5 142 0.1 2,723 0.1 25,966,178 0.1 734
Pipeline transportation 486 5 139 0.1 10,052 0.4 637,877,987 1.3 4,881
Scenic and sightseeing transportation 487 5 11 0.0 111 0.0 850,165 0.0 591
Support activities for transportation 488 1 2 0.0 555 0.0 24,480,229 0.0 3,393
Support activities for transportation 488 3 4 0.0 0 0.0 0 0.0 0
Support activities for transportation 488 5 1,079 0.9 27,187 1.2 564,997,151 1.1 1,599
Postal service 491 1 96 0.1 7,980 0.3 126,835,571 0.3 1,223
Postal service 491 5 14 0.0 0 0.0 0 0.0 0
Couriers and messengers 492 5 280 0.2 14,697 0.6 153,430,463 0.3 803
Warehousing and storage 493 3 1 0.0 0 0.0 0 0.0 0
Warehousing and storage 493 5 317 0.3 23,199 1.0 258,306,567 0.5 856
Information 51 1 1 0.0 1 0.0 35,680 0.0 2,745
Information 51 3 6 0.0 922 0.0 10,328,950 0.0 861
Information 51 5 1,507 1.2 23,210 1.0 643,136,625 1.3 2,131
Motion picture and sound recording industries 512 5 208 0.2 2,160 0.1 16,532,651 0.0 589
Motion picture and sound recording industries 513 5 530 0.4 6,727 0.3 253,327,634 0.5 2,897
Internet publishing and broadcasting 516 5 103 0.1 2,364 0.1 63,119,637 0.1 2,054
Telecommunications 517 5 365 0.3 9,041 0.4 223,702,426 0.4 1,903
ISPs, search portals, and data processing 518 5 272 0.2 2,774 0.1 83,967,876 0.2 2,328
Other information services 519 1 1 0.0 1 0.0 35,680 0.0 2,745
Other information services 519 3 6 0.0 922 0.0 10,328,950 0.0 861
Other information services 519 5 29 0.0 144 0.0 2,486,401 0.0 1,328
Finance and insurance 52 1 3 0.0 67 0.0 2,153,392 0.0 2,460
Finance and insurance 52 3 1 0.0 0 0.0 0 0.0 0
Finance and insurance 52 5 7,065 5.6 78,629 3.4 3,846,835,230 7.7 3,763
Monetary authorities - central bank 521 5 12 0.0 0 0.0 0 0.0 0
Credit intermediation and related activities 522 1 2 0.0 19 0.0 693,443 0.0 2,807
Credit intermediation and related activities 522 3 1 0.0 0 0.0 0 0.0 0
Credit intermediation and related activities 522 5 2,374 1.9 32,732 1.4 1,261,897,231 2.5 2,966
Securities, commodity contracts, investments 523 5 1,999 1.6 17,666 0.8 1,598,325,017 3.2 6,960
Insurance carriers and related activities 524 1 1 0.0 48 0.0 1,459,949 0.0 2,324
Insurance carriers and related activities 524 5 2,581 2.1 27,508 1.2 937,250,868 1.9 2,621
Funds, trusts, and other financial vehicles 525 5 99 0.1 0 0.0 0 0.0 0
Real estate and rental and leasing 53 3 3 0.0 0 0.0 0 0.0 0
Real estate and rental and leasing 53 5 6,701 5.3 51,268 2.2 1,137,712,808 2.3 1,707
Real estate 531 3 3 0.0 0 0.0 0 0.0 0
Real estate 531 5 5,662 4.5 36,543 1.6 828,272,588 1.7 1,744
Rental and leasing services 532 5 997 0.8 14,296 0.6 292,563,902 0.6 1,574
Lessors of nonfinancial intangible assets 533 5 42 0.0 429 0.0 16,876,318 0.0 3,024
Professional and technical services 54 1 2 0.0 51 0.0 1,223,958 0.0 1,846
Professional and technical services 54 3 8 0.0 73 0.0 1,333,578 0.0 1,399
Professional and technical services 54 5 18,625 14.8 196,472 8.6 5,835,362,690 11.7 2,285
Professional and technical services 541 1 2 0.0 51 0.0 1,223,958 0.0 1,846
Professional and technical services 541 3 8 0.0 73 0.0 1,333,578 0.0 1,399
Professional and technical services 541 5 18,625 14.8 196,472 8.6 5,835,362,690 11.7 2,285
Management of companies and enterprises 55 5 731 0.6 36,199 1.6 3,113,985,729 6.2 6,617
Management of companies and enterprises 551 5 731 0.6 36,199 1.6 3,113,985,729 6.2 6,617
Administrative and waste services 56 3 24 0.0 1,572 0.1 21,860,791 0.0 1,069
Administrative and waste services 56 5 6,851 5.5 180,020 7.9 2,864,432,799 5.7 1,224
Administrative and support services 561 3 15 0.0 1,051 0.0 14,278,070 0.0 1,045
Administrative and support services 561 5 6,452 5.1 170,938 7.5 2,589,811,900 5.2 1,165
Waste management and remediation services 562 3 9 0.0 522 0.0 7,582,721 0.0 1,118
Waste management and remediation services 562 5 399 0.3 9,082 0.4 274,620,899 0.5 2,326
Educational services 61 2 20 0.0 24,363 1.1 530,430,100 1.1 1,675
Educational services 61 3 29 0.0 0 0.0 0 0.0 0
Educational services 61 5 1,467 1.2 47,002 2.1 782,912,399 1.6 1,281
Educational services 611 2 20 0.0 24,363 1.1 530,430,100 1.1 1,675
Educational services 611 3 29 0.0 0 0.0 0 0.0 0
Educational services 611 5 1,467 1.2 47,002 2.1 782,912,399 1.6 1,281
Health care and social assistance 62 1 1 0.0 5,191 0.2 130,566,054 0.3 1,935
Health care and social assistance 62 2 20 0.0 25,466 1.1 639,576,071 1.3 1,932
Health care and social assistance 62 3 15 0.0 0 0.0 0 0.0 0
Health care and social assistance 62 5 16,077 12.8 259,448 11.3 4,051,684,313 8.1 1,201
Ambulatory health care services 621 2 18 0.0 1,707 0.1 29,171,635 0.1 1,314
Ambulatory health care services 621 3 7 0.0 179 0.0 2,092,435 0.0 898
Ambulatory health care services 621 5 10,257 8.2 130,008 5.7 2,026,647,252 4.0 1,199
Hospitals 622 1 1 0.0 5,191 0.2 130,566,054 0.3 1,935
Hospitals 622 2 1 0.0 0 0.0 0 0.0 0
Hospitals 622 3 2 0.0 0 0.0 0 0.0 0
Hospitals 622 5 171 0.1 73,770 3.2 1,572,957,719 3.1 1,640
Nursing and residential care facilities 623 5 546 0.4 20,282 0.9 203,009,734 0.4 770
Social assistance 624 2 1 0.0 0 0.0 0 0.0 0
Social assistance 624 3 6 0.0 0 0.0 0 0.0 0
Social assistance 624 5 5,103 4.1 35,387 1.5 249,069,608 0.5 541
Arts, entertainment, and recreation 71 3 12 0.0 1,653 0.1 17,058,912 0.0 794
Arts, entertainment, and recreation 71 5 1,220 1.0 22,330 1.0 267,118,956 0.5 920
Performing arts and spectator sports 711 5 361 0.3 5,565 0.2 151,159,701 0.3 2,090
Museums, historical sites, zoos, and parks 712 3 8 0.0 1,586 0.1 16,507,128 0.0 801
Museums, historical sites, zoos, and parks 712 5 53 0.0 2,486 0.1 26,404,243 0.1 817
Amusements, gambling, and recreation 713 3 4 0.0 67 0.0 551,784 0.0 630
Amusements, gambling, and recreation 713 5 806 0.6 14,280 0.6 89,555,012 0.2 482
Accommodation and food services 72 5 10,098 8.0 207,036 9.0 1,326,621,066 2.7 493
Accommodation 721 5 1,066 0.8 18,047 0.8 175,760,323 0.4 749
Food services and drinking places 722 5 9,032 7.2 188,989 8.3 1,150,860,743 2.3 468
Other services, except public administration 81 1 1 0.0 35 0.0 499,461 0.0 1,108
Other services, except public administration 81 3 12 0.0 178 0.0 2,287,791 0.0 989
Other services, except public administration 81 5 11,819 9.4 67,991 3.0 876,694,791 1.8 992
Repair and maintenance 811 3 3 0.0 0 0.0 0 0.0 0
Repair and maintenance 811 5 3,076 2.5 29,410 1.3 481,729,017 1.0 1,260
Personal and laundry services 812 1 1 0.0 35 0.0 499,461 0.0 1,108
Personal and laundry services 812 3 2 0.0 0 0.0 0 0.0 0
Personal and laundry services 812 5 2,992 2.4 23,357 1.0 226,150,114 0.5 745
Membership associations and organizations 813 3 7 0.0 96 0.0 1,305,194 0.0 1,046
Membership associations and organizations 813 5 878 0.7 9,449 0.4 132,111,319 0.3 1,075
Private households 814 5 4,873 3.9 5,774 0.3 36,704,341 0.1 489
Public administration 92 1 72 0.1 12,772 0.6 342,101,930 0.7 2,060
Public administration 92 2 35 0.0 0 0.0 0 0.0 0
Public administration 92 3 128 0.1 37,672 1.6 658,783,719 1.3 1,345
Executive, legislative and general government 921 1 3 0.0 981 0.0 27,334,778 0.1 2,143
Executive, legislative and general government 921 2 5 0.0 325 0.0 5,260,803 0.0 1,245
Executive, legislative and general government 921 3 52 0.0 11,245 0.5 179,388,403 0.4 1,227
Justice, public order, and safety activities 922 1 13 0.0 3,545 0.2 106,828,149 0.2 2,318
Justice, public order, and safety activities 922 2 8 0.0 2,121 0.1 32,099,422 0.1 1,164
Justice, public order, and safety activities 922 3 46 0.0 24,905 1.1 451,402,531 0.9 1,394
Administration of human resource programs 923 1 10 0.0 1,277 0.1 28,575,357 0.1 1,721
Administration of human resource programs 923 2 5 0.0 2,075 0.1 26,340,725 0.1 976
Administration of human resource programs 923 3 3 0.0 0 0.0 0 0.0 0
Administration of environmental programs 924 1 6 0.0 161 0.0 4,707,945 0.0 2,245
Administration of environmental programs 924 2 6 0.0 367 0.0 5,209,421 0.0 1,093
Administration of environmental programs 924 3 9 0.0 0 0.0 0 0.0 0
Community and housing program administration 925 1 1 0.0 56 0.0 1,812,149 0.0 2,489
Community and housing program administration 925 3 6 0.0 318 0.0 6,297,068 0.0 1,522
Administration of economic programs 926 1 30 0.0 2,689 0.1 51,837,117 0.1 1,483
Administration of economic programs 926 2 10 0.0 335 0.0 5,277,949 0.0 1,212
Administration of economic programs 926 3 12 0.0 650 0.0 10,510,973 0.0 1,245
Space research and technology 927 1 3 0.0 2,941 0.1 95,545,198 0.2 2,499
National security and international affairs 928 1 6 0.0 1,122 0.0 25,461,237 0.1 1,746
National security and international affairs 928 2 1 0.0 0 0.0 0 0.0 0
Unclassified establishments 99 3 8 0.0 29 0.0 504,465 0.0 1,354
Unclassified establishments 99 5 1,459 1.2 3,097 0.1 39,012,010 0.1 969
Unclassified establishments 999 3 8 0.0 29 0.0 504,465 0.0 1,354
Unclassified establishments 999 5 1,459 1.2 3,097 0.1 39,012,010 0.1 969

4.1 Census Tract Demographic-Economic Characteristics .. goto topics
There are 1,115 tracts in this county; see their characteristics in the table below. The subject matter columns in this table are customizable and based on the subject matter items file used/selected. The file C:\dede\api_items_acs20_base.dbf has been written to your computer and used to develop the following table. See about census tracts .. additional tract data resources
GEOID TOTPOPA20 MPOPA20 FPOPA20 WHITE1A20 BLACK1A20 AIAN1A20 ASIAN1A20 NHOPI1A20 OTHER1A20 MULTIA20 HISPA20 POP65UPA20 POPHHA20 HHA20 FAMA20 POP25UPA20 HSGRADMA20 HSGRADFA20 TOTHSGA20 OWNOCCA20 RNTOCCA20 VACANTA20 MHIA20 MFIA20 MHVA20 MDRENTA20 GINIA20
48201100001 5,090 3,520 1,570 3,101 1,176 0 338 0 268 207 902 311 3,709 2,560 600 4,423 846 93 2,560 78 2,482 670 99,714 219,934 -6 1,888 1
48201210400 4,644 2,221 2,423 2,138 846 43 0 0 1,051 566 3,436 594 4,505 1,548 1,038 3,001 451 373 1,548 618 930 184 37,284 40,219 144,500 806 0
48201210500 4,871 2,425 2,446 2,582 693 56 0 0 1,290 250 3,911 739 4,806 1,774 1,073 3,273 529 443 1,774 799 975 198 36,410 47,762 176,300 819 0
48201210600 5,750 3,001 2,749 3,463 64 18 26 0 1,256 923 4,217 1,032 5,750 2,304 1,510 4,237 662 734 2,304 1,396 908 265 68,487 71,607 257,000 920 0
48201210700 2,401 1,217 1,184 972 332 29 5 0 883 180 1,991 391 2,396 820 601 1,723 417 246 820 554 266 164 42,125 42,863 139,800 741 0
48201210800 2,402 1,383 1,019 789 1,020 0 0 0 436 157 1,241 243 2,402 856 554 1,597 366 169 856 332 524 190 36,977 45,663 77,700 689 0
48201210900 1,433 703 730 155 859 0 0 56 297 66 439 223 1,433 576 350 1,020 209 106 576 344 232 126 36,071 50,933 71,000 750 0
48201211000 2,113 957 1,156 604 1,121 0 16 0 358 14 954 403 2,113 765 406 1,393 226 309 765 363 402 139 26,097 41,250 65,900 733 1
48201211101 3,011 1,032 1,979 1,143 1,104 0 0 0 173 591 1,867 352 2,992 858 623 1,859 321 360 858 296 562 249 32,765 33,277 42,000 714 0
48201211102 2,449 912 1,537 821 840 0 6 0 423 359 1,565 224 2,449 799 501 1,530 212 268 799 354 445 122 21,930 22,151 38,500 832 1
48201211200 2,169 854 1,315 460 1,527 0 19 0 112 51 589 358 2,164 977 571 1,786 317 280 977 413 564 294 15,817 -6 80,000 745 1
48201211301 2,652 1,396 1,256 389 1,708 0 0 0 336 219 839 196 2,627 913 589 1,730 386 168 913 303 610 143 33,201 34,750 103,000 708 0
48201211302 2,724 1,249 1,475 244 1,723 0 0 0 625 132 963 517 2,724 1,276 565 2,052 353 295 1,276 358 918 213 32,366 45,460 70,900 736 0
48201211400 3,890 1,704 2,186 928 1,727 4 83 0 844 304 1,699 266 3,888 1,493 811 2,468 289 293 1,493 517 976 263 40,966 40,284 126,300 775 1
48201211501 2,978 1,470 1,508 1,697 123 0 0 0 1,096 62 2,835 395 2,973 912 668 1,877 338 211 912 478 434 88 32,350 40,833 66,100 653 0
48201211502 3,255 1,635 1,620 1,243 117 0 0 0 1,760 135 3,107 292 3,255 903 601 1,876 255 301 903 408 495 70 29,811 29,315 73,400 816 0
48201211600 3,086 1,602 1,484 1,163 518 27 0 0 1,227 151 2,431 336 3,086 1,164 741 2,057 389 410 1,164 534 630 130 36,121 45,609 84,700 762 0
48201211700 3,957 2,318 1,639 1,297 1,954 0 103 0 563 40 1,700 473 3,952 1,269 817 2,398 777 424 1,269 533 736 227 33,301 37,589 67,400 795 0
48201211900 5,247 2,697 2,550 2,905 12 68 30 0 2,089 143 5,055 948 5,247 1,633 1,278 3,167 458 439 1,633 1,046 587 148 38,950 40,381 81,900 892 0
48201212300 4,042 2,282 1,760 1,689 149 22 9 0 1,511 662 3,665 669 3,926 1,519 824 3,175 433 469 1,519 693 826 343 26,213 46,689 111,300 713 1
48201212400 3,003 1,586 1,417 1,201 146 6 0 0 1,430 220 2,816 410 3,003 858 675 2,036 403 204 858 592 266 153 41,327 42,583 96,600 969 0
48201212500 4,179 1,674 2,505 1,341 2,252 10 0 0 216 360 1,803 633 4,179 1,487 956 2,539 320 371 1,487 831 656 185 45,326 49,122 79,800 864 0
48201220100 1,819 900 919 424 949 0 0 0 352 94 865 227 1,819 584 468 1,179 127 259 584 312 272 105 35,192 39,211 68,200 780 1
48201220200 2,309 1,309 1,000 1,839 63 9 8 0 368 22 2,051 301 2,309 760 488 1,566 275 145 760 440 320 145 44,792 61,544 155,400 987 0
48201220300 4,445 2,114 2,331 3,419 90 24 42 0 590 280 4,067 302 4,445 1,271 960 2,549 346 419 1,271 708 563 140 35,139 46,336 156,100 1,018 0
48201220400 4,751 2,762 1,989 3,143 192 18 0 0 274 1,124 4,211 1,110 4,751 1,733 925 3,365 411 277 1,733 1,081 652 184 49,844 40,815 176,100 825 0
48201220500 3,053 1,420 1,633 1,929 427 28 86 0 355 228 2,222 770 3,037 1,542 606 2,127 308 277 1,542 332 1,210 211 18,354 36,381 111,700 485 0
48201220600 3,878 1,925 1,953 2,589 567 21 0 0 266 435 3,195 204 3,878 973 770 2,007 218 244 973 531 442 142 43,109 44,936 123,600 733 0
48201220701 3,105 1,471 1,634 2,100 882 19 0 0 91 13 2,104 212 3,100 937 755 1,570 226 328 937 450 487 53 24,659 25,487 84,800 772 0
48201220702 3,560 1,775 1,785 2,084 430 36 0 0 1,010 0 3,058 463 3,560 1,167 931 2,215 227 131 1,167 553 614 110 26,004 25,922 97,800 799 0
48201220800 4,137 2,001 2,136 2,011 1,849 0 0 0 277 0 2,150 612 4,137 1,093 806 2,055 289 316 1,093 317 776 188 24,857 26,125 77,100 866 0
48201220900 1,742 863 879 1,209 361 0 0 0 26 146 1,188 310 1,742 618 291 1,142 203 259 618 201 417 86 24,167 40,804 84,200 757 0
48201221000 3,749 1,737 2,012 2,827 348 0 0 0 494 80 3,205 323 3,749 1,066 906 2,129 328 390 1,066 587 479 109 30,767 31,846 78,600 1,002 0
48201221100 3,788 1,958 1,830 3,290 6 12 7 0 307 166 3,571 243 3,783 1,017 849 2,062 251 211 1,017 601 416 98 36,432 37,426 104,600 1,015 0
48201221200 6,214 3,081 3,133 5,430 83 0 0 0 419 282 5,875 464 6,214 1,531 1,237 3,409 608 742 1,531 932 599 123 41,227 41,663 110,300 1,273 0
48201221301 5,082 2,666 2,416 4,069 14 0 0 0 270 729 4,752 302 5,082 1,298 1,096 2,996 591 726 1,298 858 440 46 56,018 57,036 114,000 1,162 0
48201221302 3,774 1,752 2,022 3,089 48 0 106 0 360 171 3,472 236 3,774 1,073 901 2,185 246 428 1,073 697 376 93 41,390 40,593 116,400 936 0
48201221400 6,175 2,858 3,317 5,149 130 11 0 0 436 449 5,684 458 6,175 1,779 1,229 3,403 460 621 1,779 785 994 281 33,607 42,781 110,700 895 0
48201221501 5,394 2,719 2,675 4,100 143 0 12 0 232 907 4,919 401 5,265 1,550 1,230 2,977 416 578 1,550 778 772 0 30,218 31,865 101,600 919 0
48201221502 2,552 997 1,555 1,591 735 0 54 0 0 172 1,722 0 2,552 1,055 490 1,342 172 196 1,055 93 962 136 31,043 30,862 -6 940 0
48201221601 3,593 1,757 1,836 2,364 71 0 0 0 1,158 0 3,384 445 3,593 863 717 1,919 171 323 863 733 130 34 44,337 33,036 115,900 1,050 0
48201221602 5,382 2,649 2,733 4,078 28 12 10 0 1,015 239 5,058 462 5,382 1,611 1,344 3,348 549 551 1,611 1,078 533 68 53,676 53,095 121,600 931 0
48201221701 4,910 2,252 2,658 3,350 12 0 16 0 353 1,179 4,836 211 4,910 1,456 1,369 2,867 377 293 1,456 859 597 41 45,989 47,184 97,800 1,092 0
48201221702 3,129 1,729 1,400 2,873 42 0 0 0 129 85 2,748 417 3,129 1,013 677 2,226 338 136 1,013 776 237 0 35,080 -6 17,600 959 0
48201221800 4,065 1,940 2,125 3,444 0 10 53 0 558 0 3,841 214 4,065 1,160 902 2,126 301 281 1,160 755 405 84 33,704 38,176 106,200 808 0
48201221900 4,962 2,699 2,263 3,878 0 0 0 0 712 372 4,815 415 4,957 1,219 958 3,112 492 296 1,219 829 390 50 46,290 47,287 85,600 916 0
48201222000 2,182 1,321 861 1,666 224 0 0 0 292 0 1,760 77 1,891 500 427 1,402 285 173 500 355 145 48 37,385 38,368 77,100 1,012 0
48201222100 5,437 2,556 2,881 4,651 5 0 0 0 750 31 5,057 393 5,405 1,382 1,194 3,346 472 397 1,382 905 477 145 30,056 29,849 86,800 866 0
48201222200 3,301 1,934 1,367 2,235 624 40 7 0 279 116 2,269 525 3,301 1,304 648 2,410 335 324 1,304 455 849 171 40,278 34,342 102,400 952 0
48201222300 5,134 2,836 2,298 4,139 56 77 33 0 587 242 4,688 400 5,121 1,404 1,170 2,877 635 314 1,404 1,011 393 68 43,382 43,824 84,500 1,069 0
48201222401 2,864 1,470 1,394 2,459 2 14 38 0 235 116 2,611 222 2,847 849 592 1,733 240 253 849 508 341 97 33,397 31,304 128,300 885 0
48201222402 6,650 3,475 3,175 5,142 48 57 17 0 961 425 5,585 634 6,650 1,765 1,424 3,714 432 640 1,765 1,052 713 288 34,526 27,350 84,500 1,220 0
48201222501 3,309 1,591 1,718 2,577 250 6 94 0 374 8 3,060 174 3,309 922 765 1,771 225 239 922 262 660 110 26,653 27,750 120,900 866 0
48201222502 3,888 2,187 1,701 2,568 72 0 72 0 912 264 3,409 290 3,883 1,044 874 2,409 387 251 1,044 807 237 24 46,705 45,799 109,700 1,097 0
48201222504 3,923 2,209 1,714 3,178 276 60 0 0 207 202 3,401 142 3,923 1,060 828 1,868 386 306 1,060 156 904 77 28,068 26,136 65,800 931 0
48201222505 3,378 1,690 1,688 2,069 65 0 110 0 526 608 3,107 270 3,375 850 762 2,083 117 159 850 673 177 71 65,132 72,926 107,000 1,314 0
48201222601 2,194 1,113 1,081 1,467 146 0 136 0 429 16 1,946 0 2,194 691 382 1,147 141 141 691 0 691 67 27,342 25,490 -6 905 0
48201222602 2,676 1,497 1,179 1,580 845 65 10 0 62 114 1,702 285 2,676 1,125 540 1,734 491 226 1,125 9 1,116 189 29,125 32,500 -6 904 0
48201222701 2,247 923 1,324 618 1,258 0 0 0 371 0 740 51 2,247 855 522 1,088 167 116 855 180 675 89 15,559 22,450 72,800 288 1
48201222702 4,035 1,618 2,417 301 2,933 0 0 0 756 45 763 375 4,035 1,442 1,041 2,239 516 542 1,442 98 1,344 25 28,459 28,065 -6 1,038 0
48201222800 4,013 2,181 1,832 3,156 338 36 80 0 296 107 3,405 129 4,013 919 807 2,261 283 250 919 553 366 42 32,883 32,604 96,100 905 0
48201222900 7,331 3,600 3,731 5,679 303 46 32 0 1,242 29 6,589 918 7,331 2,057 1,742 4,388 915 882 2,057 1,463 594 172 40,928 42,930 109,200 1,107 0
48201223001 4,059 2,015 2,044 3,225 295 6 0 0 383 150 3,588 194 4,059 1,069 836 2,213 277 274 1,069 652 417 78 49,712 57,353 125,600 883 0
48201223002 3,153 1,718 1,435 2,570 240 0 40 0 177 126 2,706 359 3,153 1,062 625 1,770 231 173 1,062 458 604 29 31,833 36,575 104,100 956 0
48201223100 2,407 1,186 1,221 1,601 63 0 7 15 544 177 2,001 278 2,407 604 538 1,440 182 291 604 492 112 52 70,375 61,111 95,500 1,197 0
48201230100 1,429 786 643 217 989 0 1 0 222 0 410 217 1,407 597 430 1,016 236 195 597 150 447 68 41,875 43,350 79,500 687 0
48201230200 5,459 2,608 2,851 1,164 3,923 35 0 0 83 254 1,430 823 5,379 1,799 1,134 3,646 650 772 1,799 971 828 177 29,426 40,877 89,800 1,012 0
48201230300 2,609 1,326 1,283 815 1,338 0 23 0 72 361 1,088 276 2,609 853 528 1,480 260 268 853 470 383 100 34,375 44,250 77,400 812 1
48201230400 3,338 1,549 1,789 1,549 1,693 0 88 0 0 8 1,467 303 3,336 1,146 813 1,957 210 359 1,146 394 752 245 43,023 49,028 55,100 1,012 0
48201230500 3,570 1,677 1,893 2,582 812 0 74 0 91 11 2,553 747 3,537 1,170 691 2,460 425 450 1,170 878 292 166 29,025 41,929 107,700 965 1
48201230600 2,978 1,499 1,479 899 1,946 0 0 0 108 25 1,032 403 2,978 942 635 1,858 346 286 942 584 358 127 35,283 36,498 81,700 935 0
48201230700 2,806 1,214 1,592 750 1,589 0 7 0 181 279 1,102 294 2,796 962 573 1,537 306 320 962 435 527 298 24,242 35,272 83,600 776 1
48201230800 2,341 1,020 1,321 473 1,419 0 0 0 205 244 898 369 2,329 773 497 1,515 352 289 773 531 242 238 35,125 41,510 65,300 832 0
48201230900 3,767 1,841 1,926 697 2,863 0 0 0 105 102 868 607 3,767 1,516 870 2,473 528 489 1,516 560 956 226 22,364 23,068 48,800 871 0
48201231000 5,382 2,483 2,899 1,608 3,103 0 0 0 254 417 2,050 828 5,372 1,613 1,161 3,319 628 658 1,613 1,191 422 107 43,358 51,955 80,100 753 0
48201231100 4,854 2,164 2,690 2,799 1,328 279 0 0 159 289 3,166 353 4,835 1,436 1,056 2,482 281 300 1,436 929 507 207 -6 42,568 78,800 1,045 1
48201231200 6,943 2,763 4,180 1,692 5,076 29 0 0 142 4 1,465 1,170 6,904 2,569 1,652 4,498 734 1,011 2,569 1,253 1,316 233 35,337 33,429 84,100 808 0
48201231300 4,364 1,955 2,409 1,429 2,657 126 0 0 17 135 1,653 818 4,330 1,552 1,117 2,837 404 557 1,552 914 638 210 36,389 40,057 103,900 882 0
48201231400 3,070 1,401 1,669 184 2,587 0 29 0 270 0 432 646 3,054 1,063 712 2,158 421 419 1,063 771 292 53 41,464 51,000 87,300 1,151 0
48201231500 3,318 1,309 2,009 392 2,830 0 96 0 0 0 417 564 3,307 918 659 1,985 371 424 918 565 353 122 34,712 42,518 69,500 871 1
48201231600 3,479 1,771 1,708 924 2,495 0 0 0 60 0 1,133 594 3,474 1,104 769 2,325 505 351 1,104 871 233 98 37,667 45,466 82,600 1,026 1
48201231700 3,943 2,007 1,936 2,992 180 0 26 0 631 114 3,633 262 3,943 1,097 862 2,217 203 396 1,097 769 328 88 30,016 31,587 69,600 799 0
48201231800 3,183 1,652 1,531 1,859 779 0 0 0 91 454 2,272 429 3,175 868 681 1,939 402 276 868 608 260 46 53,000 52,946 79,300 856 0
48201231900 7,259 3,727 3,532 2,572 3,437 0 0 0 156 1,094 3,790 958 7,259 2,156 1,709 4,423 756 641 2,156 1,290 866 103 33,099 36,319 67,300 959 0
48201232000 4,699 2,232 2,467 2,085 1,495 88 0 0 129 902 3,169 558 4,699 1,318 1,073 2,793 338 524 1,318 995 323 110 44,750 47,375 86,300 736 0
48201232100 3,741 2,030 1,711 2,321 716 0 0 0 297 407 2,803 187 3,731 962 763 1,975 356 382 962 499 463 162 37,000 37,104 62,600 982 0
48201232201 6,493 3,522 2,971 2,766 1,494 0 0 0 1,452 781 4,357 513 6,493 1,826 1,434 4,368 716 835 1,826 1,088 738 101 56,622 57,014 97,100 1,088 0
48201232202 4,984 2,463 2,521 3,189 775 37 441 0 262 280 1,017 536 4,984 1,705 1,448 3,297 93 417 1,705 1,665 40 36 170,134 218,031 340,900 -6 0
48201232203 6,315 3,191 3,124 2,964 3,023 0 175 0 94 59 1,229 331 6,315 2,724 1,230 4,201 515 560 2,724 1,285 1,439 119 64,144 120,636 293,000 1,223 0
48201232303 5,177 2,636 2,541 3,077 1,694 5 24 66 38 273 2,954 302 5,177 1,464 1,156 2,650 509 412 1,464 1,168 296 151 53,598 52,619 125,000 1,471 0
48201232304 6,593 2,975 3,618 4,012 2,428 0 0 0 119 34 3,292 352 6,591 2,054 1,595 3,566 747 659 2,054 887 1,167 99 46,036 45,736 54,600 1,460 0
48201232305 10,145 5,165 4,980 3,939 3,885 0 20 201 467 1,633 5,854 312 10,145 2,572 2,353 5,762 1,151 556 2,572 2,132 440 127 73,922 76,215 167,100 1,645 0
48201232306 3,982 2,080 1,902 1,720 739 0 109 0 759 655 2,669 164 3,982 953 902 2,131 453 333 953 638 315 192 74,105 73,986 118,600 1,560 0
48201232402 4,734 2,331 2,403 1,867 919 30 111 0 317 1,490 3,268 355 4,734 1,336 964 2,543 311 401 1,336 772 564 107 57,879 75,465 117,400 942 0
48201232403 4,185 2,083 2,102 2,635 861 8 145 0 125 411 2,992 322 4,185 1,376 1,011 2,579 440 348 1,376 654 722 90 52,266 51,098 100,400 1,125 0
48201232404 3,298 1,835 1,463 2,203 384 0 0 0 587 124 2,432 121 3,298 895 695 1,980 372 329 895 547 348 120 57,612 54,718 100,800 949 0
48201232405 5,463 2,925 2,538 2,479 1,665 0 333 0 458 528 3,450 407 5,463 1,545 1,222 3,022 439 269 1,545 1,300 245 224 86,319 98,839 171,200 1,667 0
48201232500 4,316 2,725 1,591 2,403 856 0 0 0 199 858 2,844 549 3,075 988 707 3,015 632 359 988 633 355 52 36,300 42,719 85,500 1,029 0
48201232600 3,091 1,532 1,559 2,387 177 36 50 0 108 333 2,555 349 3,091 1,004 735 1,973 353 217 1,004 780 224 48 55,515 62,847 121,800 1,244 0
48201232701 7,729 3,919 3,810 4,946 1,491 0 0 0 79 1,213 5,950 478 7,631 2,574 1,938 4,305 656 496 2,574 835 1,739 232 29,754 27,689 90,400 907 0
48201232703 2,759 1,620 1,139 1,609 536 0 125 25 255 209 1,916 57 2,759 1,039 540 1,460 245 175 1,039 60 979 381 37,668 41,011 -6 974 0
48201232704 2,362 1,118 1,244 1,125 682 0 0 0 68 487 1,449 470 2,362 818 497 1,551 296 213 818 327 491 137 47,451 62,481 143,400 1,024 0
48201232801 2,140 1,210 930 1,276 566 0 87 0 80 131 1,301 207 2,140 1,049 527 1,523 249 323 1,049 257 792 123 50,478 53,750 120,300 967 0
48201232802 3,250 1,648 1,602 1,364 1,161 314 0 0 16 395 2,028 234 3,250 991 722 1,858 250 262 991 470 521 88 47,369 50,747 138,500 1,048 0
48201232901 4,583 2,608 1,975 1,314 1,496 0 206 0 0 1,567 2,536 343 4,583 1,599 1,208 2,936 679 492 1,599 633 966 211 51,006 53,684 160,700 1,056 0
48201232902 3,685 2,222 1,463 1,534 1,490 0 137 0 101 423 1,974 205 3,674 1,448 947 2,098 435 376 1,448 437 1,011 255 53,047 60,059 144,600 959 0
48201233001 3,831 1,776 2,055 1,914 1,380 0 124 0 222 191 1,768 282 3,831 1,276 898 2,128 294 380 1,276 422 854 242 38,125 42,179 154,700 976 0
48201233002 5,109 2,595 2,514 2,139 1,421 0 374 0 305 870 2,528 462 5,109 1,309 1,130 3,427 344 241 1,309 1,157 152 0 93,915 94,526 159,100 1,667 0
48201233003 2,745 1,238 1,507 1,965 96 20 20 13 71 560 1,835 483 2,745 801 619 1,636 257 317 801 693 108 35 75,469 84,514 137,600 1,659 0
48201233101 4,120 2,183 1,937 3,152 217 42 0 0 416 293 3,362 332 4,118 1,248 903 2,255 380 346 1,248 552 696 219 37,815 36,635 90,000 900 0
48201233103 5,672 2,927 2,745 4,454 90 0 108 0 98 922 5,101 294 5,672 1,586 1,352 3,041 456 415 1,586 773 813 112 39,506 35,909 73,300 798 0
48201233104 3,055 1,355 1,700 2,622 0 0 0 0 118 315 2,786 182 3,055 798 636 1,596 225 222 798 434 364 108 34,917 33,750 67,000 840 0
48201233105 4,471 2,490 1,981 2,958 0 0 0 0 162 1,351 4,139 147 4,471 1,132 911 2,119 465 170 1,132 521 611 107 32,461 32,256 74,500 979 0
48201233200 6,898 3,274 3,624 5,270 207 8 34 0 474 905 5,773 838 6,898 1,849 1,446 4,140 782 359 1,849 1,401 448 146 55,625 60,286 103,900 1,192 0
48201233300 4,507 2,719 1,788 3,629 0 138 0 0 123 617 4,234 444 4,507 1,378 1,017 2,928 477 309 1,378 757 621 79 48,778 57,543 83,300 703 0
48201233400 2,561 1,373 1,188 1,871 268 7 0 0 176 239 2,040 252 2,561 966 522 1,644 277 263 966 431 535 143 33,750 39,583 80,500 905 0
48201233501 4,527 2,274 2,253 3,409 92 0 0 0 570 456 4,113 523 4,435 1,180 1,093 2,776 268 296 1,180 990 190 198 47,292 54,042 87,100 810 0
48201233502 3,456 1,773 1,683 3,296 0 38 0 0 117 5 3,217 241 3,456 1,067 746 2,000 252 227 1,067 851 216 86 48,750 49,436 76,600 1,039 0
48201233600 2,013 1,046 967 759 944 0 0 0 66 244 1,035 154 2,013 689 366 1,184 161 252 689 454 235 166 29,688 36,591 73,400 794 0
48201233701 5,052 2,608 2,444 3,836 495 33 0 0 457 231 4,049 456 5,052 1,447 1,147 2,883 348 501 1,447 941 506 24 40,287 42,348 79,200 1,125 0
48201233702 2,974 1,558 1,416 1,994 18 55 0 0 402 505 2,911 203 2,974 760 647 1,533 285 250 760 462 298 80 44,559 42,574 80,400 788 0
48201233703 2,737 1,471 1,266 1,584 82 72 0 0 339 660 2,326 207 2,737 787 662 1,713 377 206 787 590 197 23 59,727 68,906 88,600 934 0
48201240101 2,019 821 1,198 1,566 177 5 51 0 187 33 1,672 0 2,019 696 398 843 31 103 696 0 696 167 36,771 41,688 -6 805 0
48201240102 1,750 1,004 746 641 523 87 0 84 26 389 867 111 1,750 669 354 1,091 219 65 669 78 591 199 33,984 28,523 130,400 737 0
48201240400 8,509 4,150 4,359 4,764 2,501 0 164 0 428 652 4,602 801 8,509 2,652 1,982 4,955 461 627 2,652 1,831 821 107 57,814 57,941 153,900 1,181 0
48201240503 2,740 1,294 1,446 1,749 787 0 0 0 155 49 1,904 0 2,740 1,035 820 1,628 472 192 1,035 0 1,035 335 28,087 32,895 -6 752 0
48201240504 3,576 1,693 1,883 1,458 1,749 0 44 0 177 148 1,702 139 3,576 1,294 798 1,621 398 419 1,294 31 1,263 262 27,262 27,612 -6 696 0
48201240505 1,202 552 650 744 255 24 0 0 137 42 923 41 1,202 448 284 576 24 48 448 0 448 212 22,218 21,686 -6 855 0
48201240506 5,655 2,694 2,961 2,602 1,943 0 156 0 130 824 3,371 157 5,655 1,900 1,209 2,843 336 348 1,900 371 1,529 129 35,382 37,852 131,700 861 0
48201240600 3,208 1,436 1,772 1,072 1,035 38 0 0 73 990 1,516 38 3,208 1,119 702 1,531 264 109 1,119 12 1,107 152 27,190 18,462 -6 792 0
48201240703 5,233 2,723 2,510 2,934 1,651 0 213 0 237 198 2,833 231 5,233 1,899 1,298 2,893 428 519 1,899 1,006 893 92 50,162 52,609 156,100 1,157 0
48201240704 3,893 1,939 1,954 2,078 1,185 10 78 0 542 0 2,304 240 3,893 1,230 942 2,237 272 336 1,230 852 378 54 55,417 63,155 137,800 1,160 0
48201240705 4,065 2,176 1,889 1,997 1,492 0 64 0 450 62 2,204 285 4,065 1,293 1,102 2,428 245 500 1,293 847 446 61 68,064 69,239 123,900 1,698 0
48201240706 8,375 4,033 4,342 3,855 2,586 84 229 0 1,018 603 4,964 282 8,375 2,647 1,951 4,918 551 777 2,647 1,721 926 194 59,289 52,113 151,700 1,131 0
48201240707 5,733 2,801 2,932 2,405 2,043 0 120 0 591 574 2,704 415 5,733 1,570 1,195 3,257 463 439 1,570 1,271 299 0 70,735 73,877 141,400 1,511 0
48201240802 7,913 3,583 4,330 3,245 3,211 0 14 0 399 1,044 3,382 446 7,913 2,424 1,895 4,831 567 802 2,424 1,317 1,107 253 53,638 57,153 157,700 1,300 0
48201240803 2,620 1,442 1,178 1,496 716 12 0 0 163 233 1,053 322 2,620 1,105 627 1,724 216 237 1,105 448 657 71 42,201 43,986 182,200 882 0
48201240804 2,189 1,145 1,044 693 795 26 0 0 675 0 1,141 61 2,189 1,275 424 1,379 270 249 1,275 0 1,275 363 30,835 31,313 -6 821 0
48201240903 6,736 3,779 2,957 2,853 3,168 0 596 0 28 91 1,851 566 6,736 1,893 1,537 4,507 473 325 1,893 1,603 290 60 75,459 73,750 174,900 1,544 0
48201240904 9,996 5,175 4,821 5,700 3,003 23 582 0 159 529 4,059 958 9,996 3,189 2,526 6,428 1,046 647 3,189 2,460 729 200 70,146 71,419 159,400 1,226 0
48201240905 5,281 2,988 2,293 1,987 1,907 0 299 0 165 923 2,706 340 5,281 1,640 1,235 3,570 755 302 1,640 918 722 102 62,500 84,702 145,200 1,209 0
48201240906 6,947 3,059 3,888 3,302 2,403 75 20 152 190 805 2,848 391 6,947 2,046 1,626 4,015 526 728 2,046 1,551 495 81 72,988 73,354 161,200 1,618 0
48201241001 3,668 1,969 1,699 1,972 806 0 170 199 364 157 1,016 465 3,668 1,428 874 2,524 488 449 1,428 866 562 63 48,650 65,833 143,300 1,310 0
48201241002 5,286 2,683 2,603 3,653 888 0 62 0 45 638 2,795 659 5,286 1,561 1,273 3,321 474 430 1,561 1,377 184 104 63,340 67,537 143,200 1,549 0
48201241101 4,995 2,257 2,738 3,457 729 9 28 0 485 287 1,843 386 4,981 1,488 1,229 2,962 519 424 1,488 1,223 265 45 72,733 73,176 144,900 1,404 0
48201241103 3,883 1,823 2,060 2,652 729 4 7 0 335 156 1,481 287 3,878 1,492 748 2,541 389 454 1,492 777 715 166 51,875 54,430 122,500 1,148 0
48201241104 8,705 3,959 4,746 5,038 1,990 49 75 0 1,284 269 2,879 455 8,705 2,716 2,124 5,220 702 793 2,716 1,793 923 89 77,865 60,954 187,800 1,485 0
48201241105 6,096 3,010 3,086 4,337 1,225 26 15 0 424 69 2,306 953 6,096 1,803 1,514 4,015 642 705 1,803 975 828 29 66,286 67,283 138,700 1,573 0
48201241201 2,546 972 1,574 1,350 819 23 261 0 93 0 578 394 2,546 949 692 1,774 144 234 949 630 319 202 49,213 51,122 129,300 1,004 0
48201241202 4,724 2,526 2,198 2,613 1,371 0 269 0 151 320 1,864 385 4,724 1,540 1,169 2,812 504 262 1,540 1,016 524 69 55,653 56,854 156,200 1,511 0
48201241301 4,172 1,997 2,175 2,561 1,145 31 250 0 164 21 957 328 4,172 1,574 1,068 2,911 347 164 1,574 1,250 324 99 111,333 123,929 207,700 1,597 0
48201241302 7,793 3,195 4,598 3,408 2,004 0 384 0 418 1,579 2,663 692 7,793 2,592 2,015 5,189 255 663 2,592 2,318 274 113 99,818 137,909 204,600 1,191 0
48201241400 10,482 5,110 5,372 7,700 1,861 60 219 0 104 538 3,288 971 10,482 3,513 2,635 7,041 893 1,071 3,513 2,328 1,185 263 85,347 85,827 164,900 1,466 0
48201241501 4,320 2,214 2,106 1,584 2,538 0 50 0 0 148 1,434 499 4,320 1,932 1,242 3,097 663 229 1,932 376 1,556 106 42,742 44,113 91,800 993 0
48201241502 2,531 1,215 1,316 671 1,238 5 0 0 0 617 569 137 2,531 889 652 1,218 191 353 889 73 816 22 42,518 45,625 135,400 965 0
48201241503 2,314 1,198 1,116 1,006 558 0 94 0 112 544 1,457 77 2,263 646 497 1,349 150 130 646 345 301 116 39,460 38,963 58,700 1,098 0
48201250101 4,616 2,307 2,309 1,904 1,628 0 71 53 149 811 1,838 610 4,616 1,509 1,167 3,468 890 461 1,509 1,162 347 118 94,970 101,458 139,700 1,499 0
48201250102 4,989 2,132 2,857 2,808 597 0 454 0 897 233 2,701 457 4,854 1,354 1,197 2,717 552 430 1,354 1,163 191 182 83,733 83,818 134,500 1,577 0
48201250201 8,623 5,364 3,259 4,512 1,780 27 128 0 758 1,418 5,478 254 8,623 2,512 1,909 4,669 891 457 2,512 1,923 589 15 57,400 68,044 110,000 1,058 0
48201250202 2,407 1,313 1,094 1,154 644 0 0 0 79 530 1,365 87 2,407 784 614 1,230 225 124 784 249 535 56 58,365 73,895 115,000 1,437 0
48201250303 3,390 1,530 1,860 950 2,019 0 388 0 10 23 431 157 3,390 1,125 877 2,186 336 36 1,125 885 240 68 -6 -6 308,200 1,346 0
48201250304 8,941 5,588 3,353 3,617 3,728 41 17 6 668 864 3,759 421 6,502 2,106 1,579 5,901 1,781 638 2,106 1,105 1,001 128 67,225 75,380 160,000 1,589 0
48201250305 5,797 3,090 2,707 3,763 1,090 0 455 0 326 163 2,408 408 5,770 1,970 1,579 4,158 451 396 1,970 1,586 384 50 84,725 87,540 165,500 1,668 0
48201250306 3,406 1,373 2,033 1,869 1,436 0 0 0 91 10 931 102 3,406 1,232 802 2,091 255 280 1,232 1,071 161 157 69,000 75,240 196,700 1,847 0
48201250403 2,823 1,300 1,523 2,354 324 0 12 0 37 96 373 266 2,823 1,511 675 2,108 181 149 1,511 878 633 147 79,601 121,435 195,200 1,097 0
48201250404 4,811 2,569 2,242 3,747 774 0 0 0 180 110 975 836 4,811 1,564 1,336 3,515 278 455 1,564 1,537 27 0 115,153 107,278 249,600 -6 0
48201250405 9,841 4,368 5,473 5,509 2,010 100 99 78 227 1,818 4,348 824 9,841 2,877 2,424 5,681 478 793 2,877 2,372 505 16 105,458 108,893 187,500 1,761 0
48201250406 4,618 2,013 2,605 3,461 886 0 106 0 0 165 1,166 395 4,618 1,416 1,217 2,859 283 179 1,416 1,257 159 92 104,444 108,194 222,800 1,803 0
48201250407 9,768 5,090 4,678 8,501 802 84 112 0 0 269 1,943 803 9,768 3,088 2,429 6,328 610 273 3,088 2,891 197 21 152,708 153,656 260,500 2,280 0
48201250408 5,093 2,440 2,653 2,228 1,766 52 414 0 45 588 1,765 279 5,093 1,781 1,248 3,059 173 173 1,781 1,169 612 75 81,628 100,993 234,800 1,189 0
48201250500 6,500 3,341 3,159 4,681 1,124 14 248 0 150 283 1,709 831 6,500 2,121 1,547 4,266 608 814 2,121 1,369 752 30 72,568 85,025 164,000 1,232 0
48201250601 3,557 1,914 1,643 2,281 848 0 0 73 169 186 2,098 764 3,448 1,676 637 2,375 678 214 1,676 277 1,399 90 42,574 59,659 148,600 909 0
48201250602 4,593 1,772 2,821 2,057 1,912 0 14 0 107 503 1,712 507 4,591 1,923 961 2,719 488 640 1,923 537 1,386 23 31,461 51,989 131,300 872 0
48201250701 6,684 3,410 3,274 4,435 703 16 271 0 287 972 2,334 721 6,684 2,073 1,653 4,286 497 463 2,073 1,670 403 112 101,103 113,466 181,700 1,542 0
48201250702 4,283 2,044 2,239 3,120 642 11 231 0 46 233 963 591 4,283 1,563 1,189 2,835 245 251 1,563 1,372 191 91 114,274 121,068 207,500 1,934 0
48201250801 3,829 1,830 1,999 2,941 497 0 76 0 66 249 645 845 3,829 1,384 1,164 2,756 240 234 1,384 1,009 375 0 91,212 92,121 221,600 1,400 0
48201250802 4,798 2,270 2,528 4,064 14 0 123 0 141 456 868 444 4,798 1,489 1,394 2,931 103 116 1,489 1,418 71 74 141,086 141,609 243,200 -6 0
48201250901 3,868 1,654 2,214 3,736 79 0 0 0 0 53 590 694 3,823 1,535 1,065 2,541 83 172 1,535 960 575 347 87,557 121,641 316,100 1,366 0
48201250902 6,259 3,255 3,004 5,926 0 0 74 0 67 192 472 898 6,259 1,943 1,766 3,835 87 98 1,943 1,890 53 98 203,528 211,442 447,700 -6 0
48201251000 2,761 1,367 1,394 2,262 157 0 207 0 35 100 313 528 2,761 1,165 850 1,824 32 99 1,165 708 457 427 101,287 133,654 534,200 1,251 0
48201251100 6,936 3,244 3,692 5,500 102 32 61 0 211 1,030 961 1,335 6,925 2,604 1,841 4,704 491 659 2,604 2,333 271 191 84,806 94,375 227,100 1,607 0
48201251200 6,697 3,237 3,460 5,736 163 0 382 0 62 354 1,581 928 6,697 2,311 1,721 4,223 408 545 2,311 1,881 430 0 67,868 91,331 187,800 1,448 0
48201251300 6,390 3,268 3,122 5,641 171 68 19 0 207 284 1,156 1,516 6,385 2,315 1,938 4,633 255 305 2,315 2,096 219 172 98,472 103,571 240,000 1,447 0
48201251401 2,989 1,529 1,460 2,315 170 0 54 0 137 313 900 235 2,989 807 688 1,683 181 129 807 645 162 42 112,625 115,682 211,600 2,082 0
48201251402 6,913 3,337 3,576 5,104 160 18 187 0 29 1,415 2,414 719 6,913 2,517 1,795 4,164 580 639 2,517 1,495 1,022 228 51,383 70,625 151,700 1,608 0
48201251501 5,792 2,650 3,142 4,996 69 0 358 0 219 150 833 368 5,792 1,701 1,467 3,503 125 164 1,701 1,658 43 147 144,844 151,941 315,000 1,701 0
48201251503 2,824 1,239 1,585 1,958 696 0 75 0 13 82 223 225 2,824 863 733 1,755 52 69 863 660 203 33 135,804 135,982 215,200 1,808 0
48201251504 5,528 2,670 2,858 4,831 116 0 330 0 0 251 755 886 5,528 1,787 1,559 3,553 231 109 1,787 1,716 71 39 152,386 158,272 288,700 2,177 0
48201251505 3,808 1,805 2,003 3,569 15 0 27 0 21 176 404 849 3,808 1,466 1,207 2,761 59 86 1,466 1,332 134 0 144,052 154,033 294,300 2,221 0
48201251600 7,376 3,838 3,538 7,022 132 0 0 0 96 126 1,939 851 7,369 2,214 1,953 4,323 638 477 2,214 1,983 231 290 83,730 84,067 176,200 3,057 0
48201251701 3,882 1,905 1,977 3,634 31 0 22 0 97 98 635 556 3,882 1,466 1,131 2,600 451 476 1,466 1,114 352 84 42,342 44,269 158,000 1,142 0
48201251702 3,886 2,267 1,619 3,510 189 0 0 0 0 187 980 651 3,886 1,336 1,128 2,222 330 211 1,336 754 582 78 46,514 51,333 245,300 951 1
48201251800 1,814 880 934 1,718 65 0 6 0 7 18 401 351 1,814 689 486 1,271 231 209 689 612 77 96 71,583 93,750 180,700 1,281 0
48201251902 6,269 3,042 3,227 4,855 580 127 37 0 449 221 1,407 803 6,269 2,201 1,829 4,428 669 801 2,201 1,874 327 39 105,813 114,219 186,200 1,125 0
48201251903 4,999 2,295 2,704 4,549 26 84 13 0 8 319 1,166 1,042 4,999 1,864 1,413 3,421 458 741 1,864 1,635 229 48 86,545 94,076 196,800 824 0
48201251904 7,163 3,397 3,766 6,181 305 29 31 0 344 273 1,592 553 7,163 2,188 1,770 4,184 740 481 2,188 1,946 242 34 98,194 105,909 174,600 1,617 0
48201252001 7,472 3,940 3,532 3,127 3,020 123 120 0 19 1,063 2,703 309 7,472 2,484 2,025 5,358 861 287 2,484 1,840 644 85 120,676 148,193 277,700 1,609 0
48201252002 5,848 2,902 2,946 3,673 2,021 0 65 0 89 0 1,670 302 5,848 1,575 1,344 3,296 182 328 1,575 1,375 200 88 115,750 107,162 327,800 1,373 0
48201252003 9,952 4,901 5,051 4,990 2,394 0 402 0 1,181 985 2,209 464 9,952 2,896 2,492 5,931 235 381 2,896 2,817 79 137 145,239 143,882 319,500 -6 0
48201252100 2,809 1,483 1,326 1,702 410 16 21 0 25 635 1,638 277 2,809 829 727 1,747 247 300 829 692 137 73 54,279 52,228 138,100 1,067 0
48201252201 4,379 1,999 2,380 2,796 1,075 0 213 0 0 295 2,465 117 4,379 1,689 1,069 2,522 187 376 1,689 772 917 128 61,477 61,386 164,100 1,333 0
48201252202 6,535 3,419 3,116 3,554 927 173 101 0 494 1,286 4,429 331 6,489 1,700 1,548 3,612 492 317 1,700 1,354 346 340 64,610 63,750 123,500 1,258 0
48201252303 5,355 2,811 2,544 2,810 1,930 0 12 0 420 183 2,878 456 5,355 1,341 1,230 3,019 769 462 1,341 1,150 191 17 86,719 85,729 134,300 950 0
48201252304 3,845 2,167 1,678 1,236 1,166 0 23 0 400 1,020 2,338 342 3,845 1,249 928 2,357 219 391 1,249 850 399 3 56,064 56,638 115,300 1,341 0
48201252305 7,351 3,481 3,870 4,830 1,240 43 276 0 466 496 5,542 564 7,351 2,038 1,769 4,238 639 678 2,038 1,768 270 0 83,312 84,313 161,400 1,525 0
48201252306 8,534 4,567 3,967 4,875 993 0 119 0 294 2,253 6,687 240 8,534 1,993 1,767 3,933 608 549 1,993 1,609 384 216 59,031 56,836 164,100 1,105 0
48201252400 6,432 3,273 3,159 5,441 94 0 0 0 255 642 4,380 716 6,432 1,939 1,621 3,779 583 587 1,939 1,305 634 250 64,232 62,539 102,000 1,083 0
48201252500 4,594 2,436 2,158 3,748 12 2 0 0 96 736 3,540 326 4,594 1,477 925 2,818 412 679 1,477 911 566 208 43,050 56,038 92,600 839 0
48201252601 4,090 1,695 2,395 3,884 0 0 0 0 134 72 3,150 362 4,090 1,144 775 2,318 303 384 1,144 804 340 134 50,000 66,183 81,500 801 0
48201252602 4,100 2,033 2,067 2,999 0 0 0 0 256 845 3,137 341 4,100 1,151 954 2,028 196 433 1,151 847 304 233 56,573 57,568 140,900 931 1
48201252700 3,908 1,972 1,936 3,116 358 0 74 0 248 112 1,203 665 3,903 1,702 1,047 2,690 675 473 1,702 884 818 147 40,411 49,844 169,200 875 0
48201252800 5,982 3,170 2,812 3,397 1,996 0 0 0 474 115 2,153 963 5,982 2,092 1,616 4,245 1,009 604 2,092 1,606 486 305 57,451 60,614 91,500 939 0
48201252901 2,050 1,002 1,048 1,832 69 0 0 0 3 146 391 252 2,029 904 472 1,362 142 115 904 668 236 0 34,821 80,476 126,000 968 1
48201252902 6,626 3,249 3,377 5,390 519 31 70 0 136 480 3,273 829 6,626 2,061 1,626 4,072 578 704 2,061 1,645 416 182 63,997 67,991 163,400 992 0
48201253000 4,516 2,088 2,428 2,369 1,533 0 0 0 29 585 2,099 556 4,516 1,589 1,179 2,874 466 395 1,589 912 677 101 41,964 56,343 134,800 972 1
48201253101 5,245 2,715 2,530 4,251 784 0 32 0 145 33 2,771 460 5,245 1,776 1,282 3,335 617 389 1,776 1,357 419 189 90,268 104,325 169,500 1,577 0
48201253102 6,038 3,015 3,023 3,394 1,003 0 394 0 517 730 2,967 302 6,038 1,938 1,442 3,495 449 276 1,938 1,824 114 66 94,263 99,423 190,500 2,215 0
48201253201 5,622 2,602 3,020 4,585 570 12 0 0 309 146 1,391 1,118 5,622 2,103 1,428 3,911 500 540 2,103 1,833 270 74 100,554 102,294 207,700 1,808 0
48201253202 3,915 1,932 1,983 2,308 600 0 100 0 320 587 2,117 564 3,915 1,555 1,056 2,614 289 282 1,555 597 958 217 37,386 37,706 89,100 1,048 0
48201253300 3,593 1,975 1,618 2,836 47 0 64 0 592 54 1,751 635 3,593 1,159 985 2,189 178 327 1,159 1,048 111 109 88,321 89,861 163,700 1,609 0
48201253501 7,150 3,156 3,994 4,446 1,532 0 273 11 357 531 3,302 365 7,040 2,339 1,718 3,908 620 587 2,339 1,022 1,317 217 57,029 56,469 114,800 1,156 0
48201253502 4,129 2,538 1,591 3,024 809 0 0 0 135 161 1,889 269 4,129 1,154 1,022 1,849 310 322 1,154 661 493 99 71,053 72,917 115,000 1,008 0
48201253601 3,274 1,709 1,565 1,815 1,015 80 239 33 90 2 606 657 3,258 1,374 768 2,349 302 200 1,374 690 684 115 68,632 97,220 185,000 1,024 0
48201253602 3,807 1,982 1,825 2,769 909 0 54 0 75 0 2,412 136 3,807 1,467 766 2,300 399 336 1,467 20 1,447 55 38,190 36,506 127,300 841 0
48201253700 5,800 3,063 2,737 3,690 1,340 79 178 0 144 369 2,725 806 5,592 1,973 1,133 3,490 603 399 1,973 795 1,178 338 49,698 56,089 137,800 1,127 0
48201253800 7,981 3,566 4,415 5,546 1,247 0 58 0 508 622 4,327 940 7,981 2,647 1,983 5,012 872 463 2,647 1,647 1,000 0 48,945 63,806 144,400 744 0
48201253900 3,764 1,751 2,013 2,916 315 8 15 0 113 397 1,046 606 3,749 1,437 920 2,465 301 173 1,437 770 667 229 48,512 51,375 119,900 1,096 0
48201254000 3,326 1,458 1,868 2,554 290 0 0 0 227 255 1,017 443 3,318 1,335 831 2,331 307 352 1,335 558 777 158 50,738 54,785 120,200 866 0
48201254100 5,123 2,600 2,523 3,336 675 0 0 0 397 715 3,200 517 5,044 1,702 1,191 3,017 464 272 1,702 791 911 161 46,685 57,776 87,500 921 0
48201254200 2,497 1,310 1,187 1,913 98 0 0 0 337 149 1,735 326 2,497 767 613 1,514 213 214 767 493 274 160 52,835 66,563 80,400 1,039 0
48201254300 5,146 2,639 2,507 3,032 610 14 0 5 655 830 3,635 284 5,132 1,655 1,087 2,917 554 426 1,655 985 670 161 53,094 67,669 91,200 894 0
48201254400 2,697 1,345 1,352 2,092 206 6 7 0 311 75 1,924 333 2,697 967 616 1,725 215 283 967 743 224 91 40,293 39,883 67,200 758 0
48201254600 3,582 1,873 1,709 2,648 271 1 3 0 314 345 2,335 318 3,582 1,176 989 2,198 391 296 1,176 881 295 165 56,039 52,096 77,600 908 0
48201254700 2,219 1,188 1,031 1,538 182 0 10 0 17 472 1,005 285 2,209 811 538 1,463 272 182 811 408 403 148 58,507 70,645 184,700 1,044 0
48201254800 2,360 1,191 1,169 1,381 407 0 38 15 459 60 1,433 479 2,208 789 520 1,694 326 255 789 498 291 244 45,341 48,438 69,100 994 0
48201310101 2,720 1,263 1,457 1,875 374 2 129 0 227 113 1,082 84 2,691 1,431 494 2,065 127 49 1,431 532 899 243 84,502 84,792 320,600 1,650 0
48201310102 2,548 1,458 1,090 568 1,151 0 127 0 375 327 829 96 2,525 1,233 343 1,674 137 147 1,233 481 752 98 70,598 24,289 280,400 1,226 0
48201310200 2,017 958 1,059 1,142 316 8 219 0 166 166 464 94 2,017 1,026 435 1,766 58 28 1,026 646 380 150 112,875 152,802 335,400 2,215 0
48201310300 4,267 2,212 2,055 2,507 195 0 11 0 1,492 62 3,054 571 4,267 1,811 935 3,007 395 341 1,811 835 976 388 41,015 52,821 174,700 1,037 0
48201310400 3,463 1,753 1,710 2,363 25 0 0 14 784 277 3,073 459 3,463 1,415 702 2,265 297 176 1,415 623 792 289 41,615 38,864 164,400 925 0
48201310500 4,001 2,223 1,778 2,546 104 14 88 0 1,020 229 3,595 480 3,840 1,424 904 2,910 406 299 1,424 726 698 368 46,532 34,813 214,600 609 0
48201310600 5,254 2,273 2,981 2,971 655 26 64 0 1,147 391 3,827 631 5,254 2,285 1,145 3,617 315 413 2,285 974 1,311 211 32,460 65,580 166,200 864 0
48201310700 4,679 2,400 2,279 2,779 30 0 0 0 1,527 343 3,658 852 4,587 1,594 956 3,091 436 296 1,594 893 701 178 35,794 62,266 329,200 837 0
48201310800 2,940 1,428 1,512 1,513 121 0 29 0 968 309 2,512 245 2,934 1,036 701 1,669 211 227 1,036 320 716 138 46,127 50,927 234,300 851 0
48201310900 5,459 3,081 2,378 2,668 135 52 201 0 1,961 442 4,881 702 5,447 1,833 1,362 3,893 543 427 1,833 857 976 278 33,097 37,143 151,100 724 0
48201311001 3,042 1,742 1,300 1,597 73 0 0 0 1,186 186 2,808 433 3,042 1,083 844 1,967 307 263 1,083 551 532 75 36,234 37,794 89,900 650 0
48201311002 3,669 1,794 1,875 2,714 0 4 30 0 677 244 3,544 646 3,669 1,140 812 2,316 304 241 1,140 682 458 179 45,299 55,635 73,800 723 0
48201311100 5,191 2,675 2,516 2,525 108 0 0 0 2,321 237 4,991 650 5,186 1,593 1,143 3,222 492 566 1,593 813 780 409 38,668 50,609 80,900 772 0
48201311200 4,847 2,587 2,260 2,708 92 10 22 0 1,190 825 4,471 582 4,847 1,583 1,170 2,952 350 575 1,583 714 869 203 44,640 44,110 142,100 913 0
48201311300 4,641 2,554 2,087 3,183 0 0 13 0 1,426 19 4,527 505 4,641 1,349 1,091 2,897 628 609 1,349 982 367 117 44,301 47,757 107,200 737 0
48201311400 1,526 715 811 726 95 32 0 0 673 0 1,437 117 1,526 465 325 935 204 116 465 244 221 94 35,313 48,750 83,700 754 0
48201311501 2,835 1,538 1,297 1,582 392 27 0 0 785 49 2,322 246 2,835 927 704 1,767 140 218 927 438 489 94 53,119 53,058 120,400 792 0
48201311502 3,810 1,865 1,945 2,216 138 0 73 0 1,369 14 3,418 826 3,810 1,067 885 2,277 485 357 1,067 579 488 163 40,203 42,391 98,600 772 0
48201311600 4,297 2,612 1,685 1,336 201 0 14 0 2,065 681 4,013 222 4,174 1,434 969 2,370 378 284 1,434 15 1,419 171 29,612 30,764 -6 765 0
48201311701 4,062 1,934 2,128 2,347 219 65 0 0 1,221 210 3,747 279 4,003 1,123 909 2,403 283 285 1,123 507 616 105 35,757 45,179 82,700 741 0
48201311702 1,957 667 1,290 1,472 343 0 10 0 103 29 1,583 33 1,957 673 364 819 170 70 673 49 624 116 25,551 -6 169,100 1,057 1
48201311800 4,654 2,302 2,352 2,288 46 0 203 0 1,951 166 4,070 332 4,654 1,317 856 2,508 595 283 1,317 530 787 206 36,713 40,592 99,200 906 1
48201311900 1,972 959 1,013 1,086 46 34 38 0 681 87 1,656 270 1,967 632 473 1,419 130 182 632 335 297 90 52,625 71,369 102,100 891 0
48201312000 4,031 1,968 2,063 1,856 1,371 39 519 0 73 173 695 384 1,776 672 409 1,438 86 30 672 478 194 92 76,548 97,371 248,800 938 1
48201312200 1,516 804 712 144 1,362 4 0 0 0 6 126 206 1,482 626 297 958 166 189 626 118 508 303 25,909 36,563 160,000 781 0
48201312300 2,084 1,026 1,058 541 1,354 0 68 0 39 82 333 204 2,059 911 422 1,582 241 173 911 358 553 277 45,542 76,875 340,400 838 0
48201312400 2,400 936 1,464 162 2,186 0 0 0 27 25 171 261 2,400 966 525 1,402 150 110 966 183 783 267 19,292 -6 124,300 719 1
48201312501 1,822 1,150 672 1,099 166 0 367 0 0 190 360 51 1,685 936 259 1,443 70 44 936 602 334 153 121,364 147,664 337,500 1,619 0
48201312502 1,970 1,202 768 1,120 426 34 198 0 0 192 591 143 1,572 914 303 1,682 219 86 914 247 667 176 74,357 99,769 379,500 1,367 0
48201312601 3,680 1,889 1,791 2,013 491 0 673 0 157 346 746 479 3,649 1,935 566 2,621 212 113 1,935 142 1,793 313 68,524 76,473 695,300 1,794 0
48201312602 1,637 998 639 1,176 112 0 214 0 0 135 0 187 1,637 853 439 1,328 15 49 853 282 571 185 163,352 175,913 550,000 2,344 0
48201312603 3,704 2,183 1,521 1,774 778 0 91 0 129 932 1,641 341 3,697 1,892 654 2,651 92 71 1,892 642 1,250 434 65,445 57,969 335,800 875 0
48201312700 2,296 1,303 993 420 1,655 0 89 0 11 121 170 217 2,275 1,136 464 1,770 220 98 1,136 418 718 272 69,652 88,906 283,500 1,166 0
48201312800 2,643 984 1,659 506 1,829 0 142 0 9 157 355 129 1,628 689 318 1,040 173 271 689 95 594 44 15,995 22,857 187,500 246 1
48201312901 2,385 1,247 1,138 270 1,960 0 89 0 22 44 95 227 1,802 768 354 1,135 221 147 768 143 625 81 27,181 44,483 250,800 842 1
48201312902 2,290 960 1,330 176 1,784 0 73 0 0 257 29 375 2,290 1,276 494 1,827 181 205 1,276 869 407 235 29,675 113,500 337,600 1,145 1
48201313000 2,904 1,714 1,190 527 2,238 0 9 0 112 18 191 508 2,883 1,252 532 2,228 85 153 1,252 563 689 263 47,981 112,742 289,200 895 1
48201313101 2,338 999 1,339 1,743 250 0 323 0 21 1 165 239 2,121 1,072 377 1,725 18 7 1,072 195 877 101 112,381 115,755 562,500 1,626 1
48201313102 1,518 691 827 872 232 0 259 0 6 149 161 488 1,421 808 328 1,257 32 74 808 336 472 213 65,938 206,974 375,600 2,015 1
48201313201 1,642 788 854 323 1,285 0 21 0 13 0 21 375 1,593 650 425 1,202 58 61 650 401 249 154 74,125 118,092 341,100 893 1
48201313202 2,799 1,191 1,608 679 1,867 11 214 0 0 28 432 630 2,794 1,162 737 2,095 192 214 1,162 672 490 211 79,145 111,188 258,500 1,207 0
48201313300 2,106 824 1,282 476 1,561 0 17 0 8 44 282 533 2,090 946 518 1,551 109 105 946 621 325 158 43,778 61,042 122,300 986 0
48201313400 3,431 1,557 1,874 418 2,658 44 59 0 66 186 404 456 3,426 1,478 837 2,391 265 539 1,478 514 964 195 24,440 37,571 71,300 1,049 1
48201313500 2,722 1,451 1,271 634 1,998 0 0 0 58 32 616 552 2,689 843 672 1,850 383 405 843 431 412 211 34,042 29,167 74,400 896 0
48201313600 4,527 1,895 2,632 954 2,801 66 26 0 27 653 1,474 611 4,518 1,753 705 2,627 678 585 1,753 667 1,086 227 22,904 33,092 88,400 746 1
48201313700 2,101 874 1,227 213 1,822 28 9 0 13 16 177 468 2,089 953 422 1,626 299 258 953 516 437 117 37,464 60,938 106,300 825 0
48201313801 1,549 741 808 177 1,338 0 19 0 0 15 224 209 1,549 747 288 1,063 297 226 747 158 589 123 16,213 41,375 111,900 651 1
48201313802 2,432 916 1,516 252 1,772 16 0 0 9 383 597 110 2,432 898 598 1,408 147 340 898 232 666 280 31,830 31,384 67,300 890 0
48201313901 2,887 1,528 1,359 1,283 897 0 289 0 55 363 606 35 2,792 1,620 371 2,016 16 114 1,620 73 1,547 254 54,242 74,844 -6 1,628 0
48201313902 2,232 1,018 1,214 768 568 0 744 0 59 93 228 140 2,232 1,261 362 1,786 34 14 1,261 338 923 363 52,375 34,533 97,200 1,292 1
48201314001 2,781 1,425 1,356 1,277 262 0 1,008 0 102 132 355 243 2,664 1,523 468 2,178 41 84 1,523 495 1,028 273 63,750 50,893 156,900 1,218 0
48201314003 2,510 1,311 1,199 1,049 83 0 1,315 0 33 30 80 213 2,494 1,338 424 1,674 0 2 1,338 0 1,338 260 52,173 59,942 -6 1,020 0
48201314004 1,988 1,205 783 831 646 0 459 0 15 37 191 26 1,988 1,107 426 1,697 355 69 1,107 0 1,107 210 42,163 -6 -6 954 0
48201314005 2,417 1,058 1,359 1,021 463 0 933 0 0 0 28 424 2,380 1,621 278 2,063 20 255 1,621 273 1,348 261 37,379 -6 111,700 1,099 0
48201314301 1,867 892 975 186 1,665 0 0 0 0 16 92 197 1,867 966 339 1,266 188 115 966 218 748 282 33,750 33,482 80,900 862 0
48201314302 1,461 807 654 74 1,209 0 99 0 0 79 14 106 1,461 1,008 183 1,151 199 75 1,008 63 945 321 28,519 -6 -6 994 0
48201314401 1,617 755 862 629 63 13 847 0 49 16 153 10 1,617 869 267 875 10 41 869 81 788 243 42,154 80,568 -6 1,391 1
48201314402 2,205 1,005 1,200 998 165 0 898 0 0 144 218 206 2,205 1,344 390 1,807 0 0 1,344 481 863 273 60,929 78,646 154,100 1,331 0
48201320100 2,768 1,456 1,312 1,555 282 11 100 0 523 297 2,332 340 2,759 1,049 553 1,854 268 227 1,049 306 743 184 44,980 58,177 103,300 918 0
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48201330600 7,315 4,087 3,228 2,693 3,707 28 0 0 730 157 3,379 1,505 7,315 2,278 1,572 5,036 954 681 2,278 1,711 567 147 53,722 60,854 83,500 1,030 0
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48201330801 4,439 1,783 2,656 1,987 2,295 0 52 0 105 0 1,751 282 4,439 1,576 1,204 2,575 144 283 1,576 942 634 0 67,798 66,875 194,300 1,204 0
48201330802 9,696 4,321 5,375 2,259 5,832 0 368 0 285 952 2,051 598 9,696 3,433 2,405 6,058 397 385 3,433 2,684 749 81 81,052 87,439 181,000 1,157 0
48201330901 10,187 4,797 5,390 2,794 6,227 0 288 0 119 759 3,000 548 10,187 3,859 2,417 6,484 443 607 3,859 2,674 1,185 132 62,007 61,386 160,600 1,401 0
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48201331900 3,734 1,976 1,758 838 2,781 0 0 0 101 14 893 857 3,727 1,329 748 2,535 340 482 1,329 970 359 137 50,725 40,431 66,200 976 0
48201332000 6,319 2,928 3,391 1,478 4,427 32 50 0 219 113 1,789 632 6,294 1,878 1,285 2,943 533 509 1,878 809 1,069 145 26,646 29,087 78,700 789 1
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48201350104 4,066 2,218 1,848 2,313 966 0 787 0 0 0 606 619 4,066 1,398 1,143 2,483 219 244 1,398 873 525 130 86,950 86,225 245,900 1,287 0
48201350201 4,484 2,332 2,152 2,597 654 0 86 0 348 799 2,546 335 4,484 1,172 904 2,173 428 255 1,172 1,039 133 62 77,402 90,421 149,000 1,043 0
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48201410802 1,663 827 836 1,422 0 39 124 0 14 64 192 218 1,663 954 363 1,372 50 0 954 348 606 159 130,449 161,375 618,500 1,839 0
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48201411002 2,145 887 1,258 1,325 57 0 376 0 253 134 220 290 2,137 1,298 502 1,652 0 51 1,298 344 954 92 78,309 111,200 657,200 1,684 1
48201411003 1,493 613 880 1,181 96 0 112 6 0 98 192 260 1,493 862 263 1,112 58 37 862 195 667 157 91,591 211,012 647,700 1,559 1
48201411100 3,609 1,662 1,947 2,878 95 52 549 0 0 35 423 678 3,609 1,485 987 2,566 46 70 1,485 1,150 335 290 186,641 250,001 1,516,200 1,461 1
48201411200 1,932 948 984 1,603 0 0 149 0 23 157 195 507 1,932 753 539 1,399 13 60 753 609 144 65 187,188 250,001 2,000,001 1,424 1
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48201411801 3,562 1,786 1,776 2,841 96 0 477 0 12 136 484 501 3,562 1,775 876 2,412 0 14 1,775 748 1,027 64 100,600 102,137 447,600 1,579 1
48201411802 2,265 965 1,300 1,633 104 0 194 0 78 256 397 453 2,265 1,366 467 1,948 15 178 1,366 297 1,069 97 73,690 107,399 586,100 1,708 0
48201411901 2,143 1,127 1,016 1,980 7 0 60 0 13 83 110 448 2,117 978 511 1,613 0 9 978 730 248 109 112,208 243,686 786,600 1,537 1
48201411902 1,538 784 754 1,284 0 0 150 0 33 71 77 380 1,375 763 241 1,166 0 17 763 313 450 142 72,063 250,001 896,200 1,480 1
48201412000 4,003 2,110 1,893 3,531 100 0 208 0 10 154 334 676 3,964 1,653 1,004 2,771 33 50 1,653 1,118 535 251 188,799 250,000 1,039,000 2,272 0
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48201412202 3,790 1,969 1,821 2,799 118 0 688 0 15 170 243 571 3,540 1,342 901 2,510 0 19 1,342 954 388 106 140,153 159,279 838,200 1,210 1
48201412300 7,161 3,657 3,504 5,573 0 104 806 0 49 629 411 1,044 7,161 2,476 2,173 4,759 21 66 2,476 2,361 115 96 250,001 250,001 1,153,600 2,406 0
48201412400 4,688 2,329 2,359 3,963 0 0 609 0 0 116 67 841 4,688 1,652 1,450 3,155 12 8 1,652 1,434 218 35 250,001 250,001 1,366,400 2,986 0
48201412500 1,515 714 801 1,091 32 4 175 0 27 186 128 207 1,515 537 402 1,014 17 26 537 390 147 100 250,001 250,001 1,560,800 1,600 1
48201412600 3,853 1,789 2,064 3,126 0 0 470 0 54 203 389 478 3,853 1,373 1,072 2,510 47 25 1,373 1,248 125 106 250,001 250,001 1,118,900 2,237 0
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48201412902 2,545 1,091 1,454 1,664 236 0 400 0 86 159 594 762 2,510 1,118 606 1,906 63 109 1,118 512 606 143 89,233 108,333 363,900 1,085 0
48201413000 3,862 1,851 2,011 2,540 315 0 742 0 59 206 407 624 3,862 1,573 1,084 2,561 74 129 1,573 791 782 212 134,471 178,182 661,600 1,657 1
48201413100 3,023 1,466 1,557 2,355 139 30 350 0 3 146 334 517 2,991 1,007 779 2,019 0 66 1,007 919 88 94 249,625 250,001 786,100 2,903 0
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48201413205 1,553 762 791 870 9 27 396 0 141 110 367 299 1,553 850 311 1,060 32 54 850 304 546 109 54,397 133,427 144,400 1,228 0
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48201413302 3,734 1,760 1,974 2,414 355 12 815 0 60 78 280 484 3,734 1,740 1,012 2,766 10 89 1,740 1,168 572 94 104,167 185,763 453,000 1,129 1
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48201420200 2,665 1,268 1,397 1,068 213 11 201 0 913 259 1,312 478 2,660 1,028 653 1,801 260 121 1,028 540 488 111 63,670 79,861 211,900 1,177 0
48201420300 3,703 1,611 2,092 2,392 497 0 125 0 76 613 909 500 3,688 1,446 968 2,521 76 81 1,446 851 595 130 98,125 171,818 398,900 1,421 0
48201420400 3,636 1,731 1,905 2,509 401 0 195 29 104 398 886 529 3,626 1,451 999 2,685 175 133 1,451 1,032 419 107 86,629 121,125 305,500 1,779 0
48201420500 3,856 1,700 2,156 2,009 677 71 30 0 725 344 2,899 261 3,668 1,172 797 2,263 134 382 1,172 75 1,097 197 41,055 41,369 109,300 862 0
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48201421101 2,624 1,405 1,219 1,396 414 6 435 5 296 72 1,249 92 2,624 1,253 531 1,775 245 120 1,253 96 1,157 160 45,368 39,861 -6 969 0
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48201421301 3,157 1,748 1,409 1,915 448 0 141 0 332 321 2,165 59 3,157 1,030 710 1,796 503 98 1,030 0 1,030 136 25,514 16,500 -6 872 1
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48201421403 4,294 2,343 1,951 2,777 576 44 153 0 744 0 3,444 307 4,279 1,404 977 2,463 448 225 1,404 198 1,206 148 26,548 25,853 135,500 803 0
48201421501 4,624 2,103 2,521 2,665 723 0 547 0 648 41 3,087 450 4,539 1,649 1,174 2,798 269 227 1,649 184 1,465 168 25,644 19,676 368,900 951 1
48201421502 2,869 1,600 1,269 911 1,154 19 667 0 73 45 835 113 2,742 1,094 640 1,806 279 237 1,094 93 1,001 166 43,466 46,739 229,000 900 0
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48201421700 4,620 2,396 2,224 2,757 384 11 818 0 451 199 1,624 676 4,620 1,760 1,151 3,288 169 186 1,760 1,008 752 113 70,286 94,688 357,100 804 1
48201421801 2,539 1,116 1,423 1,436 598 0 145 0 168 192 963 177 2,539 908 509 1,205 116 184 908 2 906 451 42,258 37,832 -6 1,119 0
48201421802 2,154 1,188 966 1,412 442 0 135 0 10 155 249 313 2,154 906 569 1,463 76 45 906 536 370 201 91,302 112,005 375,000 1,040 1
48201421900 2,627 1,257 1,370 2,215 44 0 247 0 0 121 233 416 2,627 952 739 1,795 13 30 952 908 44 141 154,875 188,583 420,600 2,688 0
48201422000 2,432 1,197 1,235 1,848 175 0 354 0 24 31 343 522 2,424 913 752 1,727 43 102 913 765 148 159 101,156 108,696 344,500 1,898 0
48201422100 6,141 3,426 2,715 3,163 1,040 5 100 0 956 877 2,727 1,383 6,134 2,577 1,487 4,442 790 332 2,577 2,043 534 110 83,198 71,094 173,600 1,449 0
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48201422302 1,762 667 1,095 545 819 0 23 0 66 309 313 435 1,762 949 304 1,383 176 124 949 687 262 124 72,794 72,250 98,000 1,158 0
48201422303 2,891 1,281 1,610 264 2,468 0 0 0 159 0 345 311 2,891 1,377 605 1,937 363 366 1,377 118 1,259 288 22,790 -6 107,700 859 0
48201422304 3,529 1,639 1,890 704 1,142 23 232 0 1,428 0 1,910 313 3,503 1,032 776 2,113 324 304 1,032 444 588 66 37,338 43,779 104,000 1,002 0
48201422403 2,750 1,521 1,229 1,295 431 0 210 0 698 116 1,330 284 2,745 913 654 1,797 58 36 913 617 296 47 65,601 60,357 241,400 934 0
48201422404 2,697 1,386 1,311 1,819 93 0 0 0 785 0 2,283 140 2,697 938 601 1,577 199 160 938 252 686 75 36,089 35,867 270,900 783 0
48201422405 1,403 582 821 108 809 0 273 0 67 146 67 642 1,403 968 233 1,157 163 321 968 0 968 6 13,293 30,685 -6 661 0
48201422406 2,811 1,172 1,639 1,090 1,114 0 58 0 277 272 991 280 2,811 1,038 761 1,909 201 387 1,038 415 623 94 53,455 66,373 116,800 874 0
48201422501 3,177 1,748 1,429 1,264 418 42 75 0 1,349 29 1,379 330 3,177 1,255 796 2,085 140 323 1,255 369 886 118 46,343 65,183 346,800 976 0
48201422502 3,833 1,815 2,018 1,401 899 0 25 0 1,269 239 1,752 271 3,827 1,346 979 2,508 115 258 1,346 387 959 145 38,067 38,951 365,900 966 0
48201422601 3,757 1,774 1,983 2,956 314 0 89 0 386 12 2,351 468 3,569 1,251 820 2,333 152 529 1,251 442 809 293 48,016 47,535 192,000 893 0
48201422602 2,438 1,090 1,348 2,196 68 0 62 0 112 0 1,237 218 2,421 890 650 1,640 106 144 890 488 402 84 58,000 80,577 230,100 1,224 0
48201422701 5,655 2,685 2,970 4,138 257 0 130 0 916 214 4,915 799 5,655 1,704 1,239 3,615 585 533 1,704 867 837 195 47,974 52,694 160,000 1,090 0
48201422702 3,260 1,660 1,600 2,511 1 0 201 0 538 9 2,194 592 3,245 1,138 739 2,404 340 249 1,138 873 265 24 64,063 72,684 163,000 1,403 0
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48201422900 3,245 1,609 1,636 2,169 337 0 157 0 229 353 2,344 270 3,240 1,242 665 1,980 246 244 1,242 410 832 564 37,500 40,707 116,200 779 0
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48201423002 2,996 1,502 1,494 1,864 318 12 34 0 524 244 2,511 97 2,996 998 719 1,731 189 271 998 135 863 308 30,000 33,301 162,700 762 0
48201423100 2,409 1,170 1,239 1,270 521 0 0 0 439 179 1,884 126 2,409 855 469 1,379 226 205 855 0 855 297 38,381 28,344 -6 863 0
48201423201 3,025 1,364 1,661 1,577 546 9 333 0 533 27 1,245 436 3,011 908 715 1,974 266 147 908 649 259 7 71,081 77,396 151,900 1,390 0
48201423203 2,318 1,392 926 716 1,193 0 0 0 311 98 855 259 2,297 967 603 1,461 238 101 967 170 797 220 42,516 47,877 123,100 1,148 0
48201423204 4,506 1,868 2,638 963 1,100 23 0 0 2,280 140 3,256 173 4,506 1,702 1,101 2,684 457 599 1,702 155 1,547 280 31,164 34,852 130,900 909 1
48201423301 4,604 2,027 2,577 1,776 2,023 22 133 0 557 93 1,142 574 4,594 1,894 1,126 3,296 286 435 1,894 826 1,068 224 45,431 65,238 241,000 846 0
48201423303 1,585 852 733 193 1,215 0 6 0 0 171 171 324 1,585 853 195 1,349 415 160 853 30 823 151 33,081 -6 -6 935 1
48201423304 3,564 1,730 1,834 1,333 1,449 3 161 0 606 12 1,170 694 3,564 1,410 891 2,250 291 181 1,410 773 637 58 46,684 49,604 214,600 1,102 0
48201423401 5,644 2,599 3,045 1,628 2,840 0 301 0 873 2 1,391 752 5,591 1,772 1,081 3,410 362 344 1,772 1,038 734 158 61,451 81,287 225,000 930 0
48201423402 4,645 2,343 2,302 498 2,786 12 756 0 522 71 951 415 4,638 1,582 995 2,768 252 265 1,582 1,041 541 43 52,188 75,040 148,700 866 0
48201423500 2,250 1,134 1,116 1,066 670 0 189 0 253 72 605 558 2,250 750 622 1,628 157 100 750 697 53 23 90,938 93,629 195,800 1,404 0
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48201430101 3,410 1,567 1,843 2,279 177 0 725 0 11 218 638 887 3,241 1,770 639 2,817 108 254 1,770 950 820 252 82,823 232,660 450,000 1,436 1
48201430102 2,766 1,146 1,620 2,027 115 0 67 0 219 338 519 496 2,694 1,284 527 2,010 11 53 1,284 389 895 279 129,412 174,236 2,000,001 1,460 0
48201430200 1,477 654 823 1,110 43 0 114 0 159 51 373 209 1,477 733 368 1,084 16 118 733 246 487 94 69,185 96,667 614,600 1,355 1
48201430300 4,834 2,587 2,247 4,391 0 7 255 0 83 98 261 816 4,834 1,657 1,466 3,192 9 13 1,657 1,645 12 62 250,001 250,001 1,778,800 -6 0
48201430400 3,413 1,774 1,639 2,947 0 0 321 0 40 105 169 728 3,413 1,180 1,039 2,441 35 100 1,180 1,169 11 105 250,001 250,001 1,951,500 -6 0
48201430500 2,673 1,342 1,331 1,999 7 0 452 0 35 180 290 478 2,673 994 725 1,750 56 103 994 722 272 224 153,214 250,001 1,192,700 1,233 1
48201430600 3,963 1,992 1,971 3,480 2 18 411 0 13 39 383 616 3,954 1,266 1,189 2,510 31 87 1,266 1,186 80 0 250,001 250,001 1,519,500 3,501 0
48201430700 4,096 1,899 2,197 2,384 108 0 951 0 88 565 668 904 4,096 1,804 1,075 2,850 116 166 1,804 535 1,269 176 73,185 96,887 835,800 1,484 1
48201430800 6,588 3,332 3,256 4,757 149 0 1,332 0 61 289 884 662 6,588 2,718 1,661 4,375 60 118 2,718 1,123 1,595 311 129,400 186,108 837,100 1,896 0
48201430900 5,606 2,452 3,154 4,159 165 7 1,161 0 51 63 803 1,376 5,606 2,511 1,528 4,249 173 58 2,511 1,945 566 523 87,827 125,109 415,500 1,727 1
48201431001 2,762 1,191 1,571 2,402 59 0 63 0 197 41 346 587 2,762 1,172 615 1,888 19 29 1,172 800 372 0 79,000 132,067 372,600 1,189 0
48201431002 3,069 1,503 1,566 2,632 73 0 318 0 8 38 306 554 3,062 1,230 848 2,251 1 27 1,230 941 289 150 92,292 162,750 623,600 1,131 1
48201431101 4,901 2,295 2,606 2,406 1,476 0 822 0 68 129 911 573 4,901 2,987 1,160 3,816 333 317 2,987 693 2,294 284 52,956 57,083 141,400 1,172 0
48201431102 4,226 2,223 2,003 2,137 1,395 0 336 0 288 70 1,171 759 4,226 2,125 766 3,321 390 308 2,125 362 1,763 169 51,485 46,555 182,700 1,405 0
48201431203 2,933 1,548 1,385 1,625 792 0 365 0 0 151 459 76 2,933 1,089 635 1,753 273 152 1,089 145 944 89 57,542 66,450 94,900 1,193 0
48201431204 3,008 1,368 1,640 1,776 166 37 745 0 65 219 392 730 3,008 1,531 743 2,290 58 72 1,531 703 828 326 65,996 81,657 357,500 1,188 0
48201431205 2,142 963 1,179 785 944 0 101 0 65 247 532 95 2,142 1,492 181 1,526 57 73 1,492 0 1,492 308 36,069 -6 -6 968 1
48201431206 1,864 1,062 802 1,007 461 0 279 0 94 23 462 378 1,806 975 401 1,499 54 96 975 37 938 186 55,453 69,637 -6 1,270 1
48201431302 4,479 2,274 2,205 3,594 381 0 197 0 108 199 630 746 4,479 2,031 1,069 3,263 105 29 2,031 1,129 902 154 104,366 215,981 683,700 1,180 0
48201431303 1,482 736 746 839 272 21 232 0 118 0 290 367 1,482 927 345 1,413 140 130 927 423 504 199 39,213 -6 187,400 1,282 0
48201431304 3,082 1,653 1,429 2,029 182 0 218 0 282 371 1,298 358 3,082 1,597 538 2,414 344 252 1,597 217 1,380 196 62,271 99,474 208,500 1,138 0
48201431401 2,149 998 1,151 1,550 105 14 214 0 43 223 389 326 2,149 1,257 446 1,733 98 103 1,257 418 839 124 71,639 140,060 216,100 1,403 0
48201431403 1,553 686 867 875 212 0 385 0 44 37 272 248 1,553 828 395 1,357 16 44 828 359 469 125 83,600 107,829 259,700 1,531 0
48201431404 2,087 965 1,122 1,375 19 0 419 0 55 219 446 223 2,087 1,330 437 1,746 16 102 1,330 576 754 239 62,500 106,427 200,600 1,337 0
48201431503 1,725 793 932 739 20 0 342 0 460 164 564 231 1,725 795 531 1,388 201 67 795 69 726 313 90,790 101,174 754,200 1,769 0
48201431504 2,680 1,276 1,404 1,835 140 0 424 0 0 281 34 665 2,680 1,095 731 1,956 28 35 1,095 889 206 8 182,708 224,228 804,400 1,459 0
48201431505 1,592 764 828 1,197 45 0 152 0 103 95 251 572 1,592 912 376 1,330 39 75 912 369 543 111 91,406 100,481 274,400 1,375 0
48201431506 2,768 1,202 1,566 2,145 116 0 441 0 37 29 182 653 2,768 1,830 483 2,410 30 116 1,830 962 868 257 76,832 162,656 250,700 1,468 1
48201431600 3,079 1,292 1,787 2,963 28 0 47 0 8 33 125 1,132 2,970 1,441 990 2,595 18 159 1,441 1,271 170 285 162,917 250,001 1,502,600 1,617 1
48201431701 1,706 772 934 1,137 187 0 322 0 0 60 63 597 1,706 947 448 1,521 0 65 947 508 439 318 109,560 250,001 935,500 1,462 1
48201431702 2,958 1,577 1,381 2,505 131 0 72 0 104 146 390 1,322 2,958 1,285 949 2,495 18 50 1,285 1,074 211 174 185,096 222,125 1,199,100 2,124 1
48201431801 3,456 1,679 1,777 2,328 206 0 774 0 99 49 505 729 3,456 1,737 971 2,877 68 24 1,737 598 1,139 613 96,106 146,920 771,900 1,458 1
48201431803 2,185 1,249 936 1,402 136 0 551 0 39 57 267 286 2,185 1,311 464 1,815 123 0 1,311 161 1,150 392 74,917 165,244 231,800 1,614 0
48201431804 2,323 1,361 962 1,718 253 0 89 0 82 181 577 231 2,323 1,328 586 1,857 42 85 1,328 243 1,085 323 142,321 156,852 356,800 2,244 0
48201431901 2,498 1,288 1,210 1,289 256 0 732 0 0 221 218 245 2,484 1,486 418 1,771 29 9 1,486 480 1,006 295 72,250 -6 223,100 1,440 0
48201431902 2,412 1,122 1,290 1,522 9 62 466 0 34 319 530 292 2,369 1,388 398 1,810 52 109 1,388 54 1,334 311 85,541 106,000 606,400 1,816 0
48201432003 1,915 980 935 1,168 178 0 188 0 188 193 700 165 1,915 1,047 363 1,449 81 55 1,047 47 1,000 65 44,481 54,620 214,500 988 0
48201432004 2,200 1,170 1,030 1,434 282 0 214 0 177 93 541 321 2,200 832 628 1,543 9 24 832 611 221 96 108,047 112,885 597,000 2,226 0
48201432005 3,722 1,837 1,885 1,180 863 0 201 0 221 1,257 2,433 106 3,722 1,450 704 2,446 296 272 1,450 85 1,365 364 40,818 42,260 133,500 1,083 0
48201432006 1,753 1,135 618 556 380 0 150 0 294 373 1,009 67 1,753 1,004 267 1,070 52 93 1,004 18 986 291 31,376 31,898 -6 876 1
48201432101 3,028 1,560 1,468 1,511 496 0 451 0 527 43 1,318 71 3,028 1,346 823 2,043 303 58 1,346 80 1,266 106 21,658 25,764 -6 874 1
48201432102 3,837 2,120 1,717 1,470 488 16 1,088 0 319 456 900 165 3,751 1,700 1,052 2,920 75 265 1,700 347 1,353 145 51,327 64,966 488,800 1,288 0
48201432200 4,197 2,293 1,904 2,602 675 0 115 83 440 282 1,818 501 4,197 1,954 1,034 3,337 233 259 1,954 624 1,330 184 46,333 51,037 254,800 1,126 0
48201432301 3,658 1,965 1,693 1,086 1,089 0 211 0 560 712 1,752 289 3,658 1,665 969 2,508 327 319 1,665 43 1,622 303 41,146 42,068 119,200 1,168 0
48201432302 2,025 956 1,069 566 969 0 37 0 154 299 725 53 2,025 976 548 1,387 170 134 976 0 976 107 43,932 48,806 -6 944 0
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48201432401 3,836 1,848 1,988 1,503 1,360 0 439 0 0 534 1,093 173 3,836 1,775 755 2,785 491 423 1,775 637 1,138 161 39,761 44,883 84,100 982 0
48201432402 2,464 1,365 1,099 774 572 0 275 0 631 212 1,307 0 2,464 1,333 502 1,656 220 154 1,333 0 1,333 175 32,132 57,064 -6 904 0
48201432501 3,474 1,912 1,562 2,366 147 35 236 0 301 389 1,400 270 3,474 1,396 731 2,107 175 338 1,396 612 784 302 30,094 35,348 163,200 966 0
48201432502 1,733 850 883 845 424 27 216 0 221 0 857 85 1,733 750 373 1,238 202 30 750 209 541 173 31,944 44,514 77,000 963 0
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48201432704 1,866 880 986 1,331 83 0 74 0 338 40 1,479 105 1,866 594 399 1,094 182 151 594 87 507 82 46,023 44,625 322,300 1,075 0
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48201432803 2,845 1,579 1,266 1,226 482 72 166 0 748 151 1,794 58 2,845 1,238 543 1,805 332 191 1,238 289 949 172 36,846 34,178 75,800 887 0
48201432804 1,616 980 636 512 315 0 309 0 323 157 710 104 1,616 767 353 1,091 160 93 767 192 575 239 47,388 47,241 220,000 869 0
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48201432806 4,754 2,473 2,281 1,709 562 10 825 0 1,224 424 2,589 737 4,636 1,708 910 3,109 283 389 1,708 91 1,617 491 29,950 36,600 -6 895 0
48201432901 3,047 1,503 1,544 1,842 240 5 9 0 861 90 2,478 319 3,047 1,077 797 1,874 237 382 1,077 242 835 125 34,897 34,462 307,000 887 1
48201432903 1,938 1,032 906 814 279 0 65 0 773 7 1,520 84 1,938 696 476 1,297 214 257 696 96 600 189 27,397 26,881 194,700 830 0
48201432904 3,892 2,103 1,789 1,421 214 0 874 0 1,023 360 2,477 255 3,892 1,516 971 2,561 346 251 1,516 514 1,002 185 50,722 46,411 86,100 1,000 0
48201433003 5,265 2,872 2,393 1,257 474 0 1,362 0 1,469 703 3,358 278 5,265 1,857 1,160 3,160 471 440 1,857 121 1,736 291 26,643 31,497 100,600 925 0
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48201433006 1,892 1,264 628 968 169 1 11 0 743 0 1,488 53 1,892 829 334 1,359 178 126 829 0 829 256 33,315 36,111 -6 905 0
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48201433201 4,171 2,009 2,162 1,133 728 0 1,876 0 179 255 813 704 4,171 1,685 1,116 2,880 310 427 1,685 665 1,020 265 34,909 37,766 163,100 855 0
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48201433300 5,006 2,522 2,484 2,586 60 0 1,075 0 1,083 202 2,329 719 4,967 1,691 1,344 3,526 298 157 1,691 1,192 499 161 78,982 79,295 199,800 1,240 0
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48201440101 3,224 1,856 1,368 1,599 94 17 94 25 1,055 340 2,949 45 3,173 1,061 805 1,752 119 183 1,061 53 1,008 66 22,945 21,730 235,800 786 0
48201440102 4,664 2,170 2,494 1,452 2,242 17 427 0 332 194 881 804 4,664 2,012 1,259 3,474 208 287 2,012 1,393 619 24 69,569 87,367 169,500 1,527 0
48201450100 2,017 912 1,105 1,525 32 0 251 0 56 153 375 259 2,017 732 513 1,249 11 31 732 658 74 94 125,326 181,157 534,700 2,317 0
48201450200 5,691 2,976 2,715 4,147 817 0 501 0 137 89 554 563 5,691 2,007 1,476 3,584 102 81 2,007 1,250 757 192 105,912 178,696 689,600 1,449 0
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48201450302 5,431 2,688 2,743 2,770 1,186 147 781 0 129 418 2,099 570 5,431 1,936 1,374 3,615 90 166 1,936 848 1,088 188 71,030 68,167 179,500 1,439 0
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48201450801 1,476 694 782 1,058 296 0 47 0 40 35 320 113 1,476 794 352 1,123 137 65 794 179 615 348 54,583 83,333 619,800 1,217 1
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48201451004 1,980 977 1,003 910 898 0 35 0 100 37 507 185 1,980 945 447 1,367 87 79 945 156 789 288 45,275 44,028 164,400 1,169 0
48201451005 2,202 965 1,237 522 1,077 0 13 0 406 184 712 0 2,202 1,046 482 1,523 173 200 1,046 41 1,005 387 28,975 22,192 -6 951 0
48201451006 2,520 1,088 1,432 1,672 374 0 307 0 0 167 298 563 2,520 1,196 816 1,867 0 85 1,196 850 346 156 98,208 99,146 289,800 1,131 0
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48201521401 3,395 1,742 1,653 678 0 0 0 0 2,623 94 3,395 21 3,395 958 680 1,820 386 211 958 30 928 72 41,774 32,196 -6 951 0
48201521402 3,218 1,833 1,385 702 16 0 95 0 2,392 13 2,909 236 3,218 1,016 687 1,937 298 54 1,016 417 599 40 37,697 38,403 129,200 1,019 0
48201521501 2,502 1,476 1,026 564 0 0 0 0 1,761 177 2,205 201 2,502 737 384 1,514 321 80 737 327 410 53 51,605 51,071 169,500 1,017 0
48201521502 3,122 1,473 1,649 1,798 74 0 62 0 834 354 1,778 392 3,122 1,035 753 2,182 245 343 1,035 843 192 56 86,781 92,171 214,400 1,438 0
48201521600 3,339 1,870 1,469 1,940 428 0 26 0 823 122 2,464 336 3,339 943 759 2,038 367 231 943 722 221 84 52,460 56,989 131,300 1,302 0
48201521701 4,631 2,082 2,549 881 1,642 0 19 135 1,248 706 2,592 165 4,631 1,814 804 3,100 97 436 1,814 121 1,693 101 33,333 40,887 173,500 1,067 0
48201521702 2,749 1,547 1,202 1,447 865 231 49 0 96 61 1,507 121 2,749 1,390 654 1,640 251 86 1,390 162 1,228 256 27,107 30,341 104,500 927 0
48201521800 6,171 2,921 3,250 2,945 460 138 1,316 0 951 361 3,310 743 6,036 1,791 1,410 4,193 583 439 1,791 1,323 468 59 65,182 66,771 151,500 1,199 0
48201521900 6,138 2,706 3,432 4,149 214 0 799 0 226 750 2,189 1,138 5,958 2,443 1,555 4,613 295 677 2,443 1,626 817 143 72,878 76,994 264,800 1,277 0
48201522001 1,823 861 962 1,215 32 0 11 0 483 82 882 614 1,823 982 383 1,283 85 176 982 387 595 37 44,643 77,868 227,200 1,138 0
48201522002 2,687 1,190 1,497 1,253 127 0 55 0 1,241 11 1,816 171 2,687 725 589 1,470 192 170 725 381 344 293 78,039 77,951 219,800 1,301 0
48201522101 3,302 1,464 1,838 1,748 214 80 165 0 986 109 1,840 371 3,302 1,331 894 2,243 298 227 1,331 526 805 90 50,821 51,929 300,900 1,016 0
48201522102 5,098 2,849 2,249 1,594 281 0 129 0 2,974 120 3,331 391 5,054 1,317 1,043 2,986 100 460 1,317 676 641 120 75,534 76,096 277,500 1,496 0
48201522201 4,250 1,867 2,383 2,610 88 53 162 0 1,240 97 2,579 544 4,250 1,270 1,075 2,563 325 292 1,270 710 560 204 60,375 56,488 247,900 999 0
48201522202 4,393 2,315 2,078 1,798 188 0 240 0 2,133 34 2,988 245 4,388 1,254 933 2,372 392 314 1,254 404 850 147 52,222 60,360 315,700 1,115 0
48201522301 3,959 1,913 2,046 1,845 68 22 226 0 1,546 252 2,647 571 3,825 1,666 978 2,712 247 213 1,666 506 1,160 96 46,522 50,188 316,700 1,012 0
48201522302 3,875 2,069 1,806 1,418 7 0 172 0 2,112 166 2,615 196 3,863 1,438 959 2,423 382 376 1,438 252 1,186 196 57,750 41,792 337,100 1,181 0
48201522401 5,598 2,843 2,755 3,941 420 0 313 0 712 212 2,043 558 5,598 2,172 1,381 3,803 177 469 2,172 1,233 939 389 76,300 76,477 294,500 1,145 0
48201522402 3,592 1,799 1,793 2,909 33 0 119 0 289 242 2,014 449 3,592 1,179 922 2,186 262 284 1,179 718 461 38 63,438 66,815 292,800 951 0
48201522500 5,187 2,574 2,613 4,409 0 0 443 0 24 311 573 877 5,187 1,713 1,516 3,374 85 124 1,713 1,660 53 148 214,750 225,833 871,600 2,432 0
48201530101 4,017 2,224 1,793 1,826 368 24 68 0 1,330 401 2,918 389 4,017 1,507 966 2,718 324 421 1,507 425 1,082 245 34,013 40,833 -6 874 0
48201530102 2,834 1,508 1,326 788 267 0 0 0 793 986 2,238 130 2,834 1,004 617 1,807 165 146 1,004 102 902 90 55,245 56,207 -6 944 0
48201530200 3,501 1,736 1,765 2,569 92 5 133 0 98 604 1,369 413 3,422 1,561 868 2,528 165 207 1,561 1,076 485 152 96,311 141,783 312,700 1,052 0
48201530300 2,295 1,074 1,221 882 1,025 0 12 0 273 103 1,016 329 2,284 902 509 1,649 256 205 902 507 395 282 35,294 45,363 139,600 829 0
48201530400 2,748 1,250 1,498 766 1,572 0 0 0 410 0 1,142 372 2,710 903 574 1,947 299 384 903 522 381 134 43,243 44,482 96,100 999 0
48201530501 1,916 1,013 903 1,330 468 0 0 0 102 16 1,417 219 1,879 660 515 984 46 315 660 214 446 62 25,727 26,584 104,000 849 1
48201530502 3,001 1,377 1,624 1,457 985 0 0 7 351 201 1,785 468 2,984 1,054 717 1,949 259 400 1,054 472 582 184 37,232 43,219 117,300 800 0
48201530600 2,954 1,654 1,300 1,717 659 15 128 0 342 93 1,754 317 2,675 1,133 595 1,970 308 262 1,133 525 608 196 41,696 49,201 151,400 879 1
48201530701 1,610 853 757 928 408 0 10 0 56 208 1,072 124 1,610 607 392 904 192 140 607 63 544 45 19,590 25,143 -6 972 0
48201530702 4,159 1,930 2,229 2,639 1,217 14 0 0 216 73 2,741 322 4,159 1,325 921 2,654 581 501 1,325 669 656 79 32,743 33,675 96,600 756 0
48201530800 4,136 2,014 2,122 902 2,829 0 1 0 320 84 921 1,000 4,084 1,721 953 3,185 319 254 1,721 1,064 657 283 39,401 56,597 134,400 866 0
48201530900 4,130 2,041 2,089 3,453 168 0 77 0 164 268 1,434 706 4,054 1,517 1,094 2,861 213 313 1,517 1,014 503 280 84,221 115,100 463,200 1,047 0
48201531000 4,307 2,125 2,182 3,828 7 0 151 0 35 286 1,209 485 4,289 1,829 1,186 3,148 339 153 1,829 1,342 487 220 103,274 175,750 483,500 1,627 1
48201531100 3,479 1,996 1,483 2,970 0 0 118 0 43 348 1,006 260 3,479 1,373 1,038 2,523 411 154 1,373 1,260 113 64 148,803 148,916 450,900 1,170 0
48201531200 3,270 1,671 1,599 2,692 308 11 41 0 24 194 1,190 422 3,270 1,485 903 2,397 252 302 1,485 787 698 137 65,579 72,917 335,000 1,120 1
48201531300 6,491 3,389 3,102 3,397 821 127 0 0 1,917 229 3,900 721 6,394 2,476 1,649 4,214 613 470 2,476 666 1,810 164 32,163 31,118 116,300 975 0
48201531400 2,221 1,109 1,112 1,807 108 10 59 7 108 122 834 422 2,216 947 606 1,798 270 239 947 654 293 69 75,398 77,143 225,300 1,240 0
48201531500 2,918 1,434 1,484 2,100 200 0 124 0 365 129 1,303 657 2,911 1,291 784 2,273 216 251 1,291 835 456 85 57,958 75,769 240,900 1,083 0
48201531600 2,934 1,602 1,332 2,768 60 0 31 0 42 33 705 457 2,934 1,249 888 2,207 102 108 1,249 1,042 207 73 116,307 123,533 357,800 1,066 0
48201531700 3,848 1,923 1,925 2,948 87 0 229 0 129 455 792 417 3,808 1,409 1,079 2,586 216 86 1,409 1,191 218 81 141,506 173,125 521,000 1,392 0
48201531800 2,754 1,229 1,525 816 1,606 0 72 0 220 40 1,136 387 2,749 1,079 591 1,974 398 353 1,079 745 334 164 30,670 49,904 101,000 755 1
48201531900 5,770 2,882 2,888 1,683 3,400 0 67 0 158 462 1,960 926 5,770 1,783 1,318 3,884 721 557 1,783 1,110 673 151 34,115 36,753 131,900 1,174 0
48201532003 4,336 2,656 1,680 2,197 1,638 46 0 11 304 140 2,128 126 4,336 1,627 1,016 2,535 338 346 1,627 185 1,442 144 37,813 22,828 169,000 853 0
48201532004 4,659 2,482 2,177 2,980 1,146 0 0 0 195 338 2,567 606 4,659 2,105 954 3,280 407 297 2,105 525 1,580 569 31,997 48,158 215,100 822 1
48201532101 4,466 2,789 1,677 3,152 665 0 129 0 431 89 2,147 493 4,466 1,611 1,115 3,038 509 247 1,611 733 878 55 65,457 77,475 212,700 971 1
48201532102 3,379 1,483 1,896 1,590 782 0 0 0 659 348 2,584 141 3,379 1,262 897 2,343 438 197 1,262 218 1,044 78 29,250 40,021 67,600 834 0
48201532200 3,757 1,918 1,839 1,318 912 0 42 0 987 498 2,499 172 3,757 1,355 756 2,322 276 251 1,355 213 1,142 179 32,067 25,521 98,900 902 0
48201532301 5,358 3,007 2,351 1,243 2,601 65 113 0 738 598 2,762 105 5,358 1,956 1,301 3,322 554 306 1,956 96 1,860 38 66,738 60,558 230,000 1,166 0
48201532302 3,159 1,649 1,510 1,976 700 0 106 13 221 143 1,452 321 3,159 1,391 718 2,051 246 192 1,391 626 765 0 43,883 47,835 192,400 1,069 0
48201532400 6,459 3,417 3,042 4,398 777 0 323 0 616 345 3,888 692 6,459 2,019 1,460 4,145 303 511 2,019 1,521 498 174 70,895 72,297 127,400 1,255 0
48201532502 5,554 2,967 2,587 3,587 139 0 171 0 728 929 4,686 346 5,554 1,770 1,246 3,311 679 308 1,770 1,487 283 104 46,511 51,000 122,100 1,434 0
48201532503 5,720 2,834 2,886 3,386 124 0 1,339 0 215 656 3,195 588 5,720 1,587 1,262 3,777 720 788 1,587 1,342 245 18 67,157 72,147 150,900 1,517 0
48201532504 4,290 2,191 2,099 2,466 322 0 470 0 1,011 21 2,880 261 4,285 1,251 1,065 2,613 286 521 1,251 985 266 68 80,580 77,429 149,600 1,224 0
48201532600 7,027 3,671 3,356 2,600 2,395 108 546 0 1,176 202 3,743 667 7,027 2,153 1,736 4,487 684 594 2,153 1,210 943 150 41,250 39,423 124,900 963 0
48201532700 5,432 2,547 2,885 2,006 2,376 119 50 0 309 572 2,214 573 5,432 1,708 1,062 3,540 488 495 1,708 1,185 523 215 56,786 62,348 154,300 1,080 0
48201532800 2,032 1,009 1,023 964 728 0 35 0 246 59 840 191 2,032 622 393 1,248 165 94 622 429 193 74 70,433 71,713 158,200 1,011 0
48201532900 5,577 2,562 3,015 2,217 2,303 22 118 0 503 414 3,202 487 5,577 1,726 1,235 3,222 578 579 1,726 826 900 110 37,596 48,038 125,900 920 0
48201533000 2,390 1,155 1,235 312 1,889 0 60 0 129 0 530 199 2,390 930 602 1,467 194 316 930 179 751 145 29,556 32,976 49,400 850 0
48201533100 6,708 3,150 3,558 1,305 3,729 0 204 0 1,354 116 2,364 676 6,708 2,143 1,700 4,006 935 675 2,143 1,549 594 130 57,141 70,909 122,600 786 0
48201533200 4,215 2,239 1,976 1,591 1,880 0 84 0 437 223 1,843 529 4,215 1,431 886 2,597 332 461 1,431 635 796 242 35,788 45,625 177,300 878 1
48201533301 3,007 1,460 1,547 201 2,361 0 8 0 222 215 645 737 2,974 1,083 593 1,926 228 212 1,083 608 475 0 32,417 41,635 159,900 828 0
48201533302 3,897 1,560 2,337 829 2,596 12 0 0 343 117 1,128 484 3,863 1,233 882 2,200 173 349 1,233 705 528 163 38,260 34,571 97,400 827 1
48201533401 5,296 2,319 2,977 2,916 1,348 70 60 0 902 0 3,793 400 5,296 1,464 1,231 2,774 434 441 1,464 1,183 281 0 46,983 55,163 97,500 1,300 0
48201533402 6,345 3,034 3,311 3,313 1,093 0 496 0 1,102 341 4,396 340 6,345 1,786 1,425 3,797 1,087 618 1,786 1,365 421 97 41,071 48,770 147,000 1,098 0
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48201533600 4,799 2,179 2,620 3,023 1,134 0 301 0 299 42 3,323 343 4,773 1,733 1,191 3,010 383 336 1,733 263 1,470 66 32,369 37,443 114,900 1,005 0
48201533701 6,129 3,137 2,992 3,324 658 0 34 0 613 1,500 5,403 268 6,129 1,860 1,302 3,537 522 763 1,860 534 1,326 185 28,167 29,333 118,000 978 0
48201533702 3,904 2,046 1,858 2,643 499 24 67 0 535 136 3,159 254 3,904 935 799 2,316 465 350 935 673 262 11 42,244 46,938 117,200 1,220 0
48201533802 7,045 3,588 3,457 4,228 833 20 765 0 579 620 4,821 684 7,045 2,000 1,792 3,906 601 632 2,000 1,647 353 160 51,870 55,833 137,100 934 0
48201533803 6,370 3,369 3,001 3,118 2,008 34 946 0 182 82 3,063 380 6,370 1,666 1,448 3,541 510 338 1,666 1,390 276 29 51,724 49,700 138,400 -6 0
48201533804 6,296 3,167 3,129 2,910 1,097 37 1,431 0 82 739 3,578 307 6,296 1,354 1,320 4,013 531 708 1,354 1,175 179 37 88,540 87,822 177,000 1,702 0
48201533902 4,559 2,388 2,171 2,351 1,204 12 63 0 644 285 3,043 376 4,559 1,555 906 2,681 254 520 1,555 339 1,216 366 27,316 35,919 120,100 950 0
48201533903 4,181 2,073 2,108 1,928 792 0 568 0 877 16 2,476 351 4,158 1,199 1,002 2,370 381 522 1,199 1,034 165 0 48,735 53,684 122,800 1,290 0
48201533904 5,174 2,400 2,774 3,091 1,139 0 126 0 779 39 3,562 486 5,160 1,610 1,153 3,074 833 706 1,610 901 709 108 44,974 48,188 123,100 893 0
48201534001 3,502 1,612 1,890 1,644 244 189 783 0 240 402 2,214 150 3,482 952 730 1,928 233 170 952 319 633 70 44,600 47,976 164,900 944 0
48201534002 5,981 3,025 2,956 3,419 522 84 294 0 1,237 425 4,310 548 5,981 1,457 1,289 3,130 455 520 1,457 914 543 25 50,257 50,017 111,400 1,306 0
48201534003 2,659 1,390 1,269 1,643 378 35 189 0 264 150 1,803 171 2,659 684 530 1,639 288 279 684 512 172 56 66,161 69,537 148,100 1,067 0
48201534101 3,193 1,362 1,831 1,117 344 0 1,327 0 189 216 1,013 387 3,118 950 790 2,219 231 173 950 797 153 0 103,883 105,000 232,600 1,612 0
48201534102 4,554 2,194 2,360 2,086 205 126 729 0 899 509 3,227 506 4,533 1,242 1,043 2,797 509 415 1,242 923 319 74 88,832 89,583 111,600 1,420 0
48201534201 3,408 1,737 1,671 1,422 293 0 660 0 957 76 2,281 296 3,307 743 611 2,020 391 318 743 477 266 99 54,879 54,539 163,900 959 0
48201534203 2,430 1,285 1,145 1,988 53 22 90 0 149 128 1,674 190 2,280 621 467 1,316 346 208 621 361 260 25 50,417 53,142 31,600 1,149 0
48201534204 4,511 2,383 2,128 2,604 994 20 436 0 138 319 1,072 420 4,511 2,086 1,063 3,331 168 249 2,086 766 1,320 114 75,673 99,821 267,900 1,184 0
48201534205 4,362 2,166 2,196 3,435 252 0 268 6 356 45 1,318 757 4,362 1,602 1,165 3,176 273 233 1,602 1,379 223 38 94,514 113,932 196,500 1,311 0
48201540101 6,283 3,350 2,933 4,066 265 0 1,245 0 286 421 1,050 1,072 6,283 2,272 2,021 4,605 64 314 2,272 2,085 187 102 190,458 200,259 445,500 3,501 0
48201540102 5,285 2,927 2,358 2,253 324 24 1,773 0 497 414 2,348 314 5,285 1,692 1,338 3,591 454 793 1,692 1,270 422 74 109,803 107,125 253,900 1,713 1
48201540200 2,194 1,089 1,105 1,454 324 4 155 0 235 22 1,186 227 2,194 854 528 1,496 284 219 854 429 425 94 48,077 46,750 152,000 1,121 0
48201540502 4,374 2,145 2,229 2,984 528 46 49 0 694 73 1,444 847 4,374 1,539 1,096 3,030 258 352 1,539 1,224 315 215 76,544 82,614 164,300 1,392 0
48201540503 4,585 2,220 2,365 2,487 859 0 0 0 1,239 0 3,577 47 4,585 1,507 1,225 2,141 100 142 1,507 0 1,507 158 36,274 35,841 -6 1,112 0
48201540504 3,737 1,506 2,231 789 210 73 127 0 1,154 1,384 2,177 374 3,737 1,214 720 2,052 208 279 1,214 242 972 217 47,652 21,619 173,600 994 0
48201540601 4,116 2,201 1,915 2,316 275 32 496 0 770 227 2,060 254 4,116 1,280 949 2,707 317 273 1,280 1,040 240 128 75,000 80,175 173,200 1,608 0
48201540602 7,074 3,173 3,901 2,775 1,329 0 588 0 1,200 1,182 3,690 904 7,017 2,477 1,606 4,225 612 596 2,477 1,401 1,076 0 69,583 81,706 156,000 1,074 0
48201540700 5,660 2,872 2,788 3,143 377 28 792 16 1,193 111 2,377 735 5,655 1,933 1,505 3,717 196 654 1,933 1,560 373 112 85,824 87,768 207,400 1,044 0
48201540800 7,024 3,793 3,231 3,721 910 0 696 0 1,377 320 4,319 772 7,024 2,239 1,747 5,095 877 430 2,239 1,256 983 325 70,951 70,732 149,100 1,530 0
48201540901 3,038 1,526 1,512 1,907 498 0 173 0 19 441 733 345 3,038 1,285 982 2,255 84 216 1,285 1,027 258 50 119,760 126,389 259,300 1,358 0
48201540903 3,538 1,528 2,010 1,098 474 71 1,324 0 72 499 768 709 3,538 1,580 804 2,447 111 557 1,580 595 985 107 70,110 71,477 187,300 1,074 0
48201540904 4,320 2,087 2,233 2,387 1,058 111 267 0 390 107 1,296 593 4,320 1,688 1,085 2,713 174 341 1,688 859 829 393 61,833 82,052 224,800 1,026 0
48201541004 6,320 3,049 3,271 2,284 1,371 0 1,248 0 1,131 286 2,240 386 6,320 1,939 1,606 3,619 463 256 1,939 1,495 444 120 91,422 100,042 220,600 1,717 0
48201541005 5,696 3,083 2,613 1,999 3,034 0 503 0 67 93 1,122 430 5,696 2,678 1,531 4,342 417 291 2,678 350 2,328 272 66,073 70,568 167,400 1,396 0
48201541006 7,480 3,727 3,753 4,422 769 0 414 0 1,477 398 2,764 173 7,480 2,196 1,646 4,357 182 246 2,196 1,422 774 0 98,714 99,634 254,400 1,328 0
48201541007 6,967 3,578 3,389 3,823 1,047 0 1,403 0 581 113 1,271 900 6,967 2,207 1,901 4,941 352 514 2,207 2,123 84 156 112,526 135,341 269,500 1,494 0
48201541008 3,111 1,522 1,589 1,586 427 12 966 0 60 60 600 356 3,111 966 764 2,145 51 243 966 838 128 9 89,050 116,500 273,500 2,103 0
48201541009 5,459 2,820 2,639 2,866 1,875 0 279 0 187 252 1,138 511 5,439 1,716 1,399 3,308 462 237 1,716 1,341 375 22 95,221 95,790 211,600 1,677 0
48201541100 8,132 3,590 4,542 5,661 622 38 476 0 1,042 293 1,616 1,479 8,132 2,345 1,930 5,735 333 638 2,345 2,165 180 51 91,250 92,194 193,000 1,936 0
48201541203 2,588 1,245 1,343 2,085 62 0 377 0 26 38 148 506 2,588 943 812 2,009 151 192 943 872 71 0 107,708 130,000 228,800 1,815 0
48201541204 5,933 3,255 2,678 3,981 431 0 403 0 791 327 2,846 572 5,909 1,888 1,610 4,171 488 495 1,888 1,465 423 0 83,409 83,247 149,000 1,230 0
48201541205 3,409 1,411 1,998 1,928 355 47 133 0 165 781 1,189 259 3,409 1,150 1,026 2,002 142 197 1,150 772 378 120 94,861 92,063 202,900 1,799 0
48201541206 4,447 2,339 2,108 2,881 313 103 377 0 198 575 1,360 433 4,376 1,502 1,237 2,967 416 368 1,502 1,167 335 110 81,646 88,884 218,800 1,223 0
48201541207 4,437 2,251 2,186 3,687 168 17 389 0 20 156 1,015 806 4,437 1,448 1,261 3,186 137 219 1,448 1,353 95 15 133,909 135,698 296,600 -6 0
48201541301 4,877 2,064 2,813 2,154 1,315 69 755 0 439 145 1,930 296 4,877 1,674 1,059 2,911 348 381 1,674 845 829 208 63,304 75,469 180,900 1,432 0
48201541302 7,696 2,628 5,068 3,004 1,636 30 245 0 2,286 495 4,678 1,362 7,696 2,177 1,803 4,524 245 1,008 2,177 953 1,224 85 54,111 53,998 135,500 1,588 0
48201541401 4,911 2,238 2,673 1,164 1,025 0 2,119 19 9 575 1,194 366 4,911 1,482 1,101 2,921 287 474 1,482 1,165 317 68 101,000 109,456 221,600 1,160 0
48201541402 2,999 1,472 1,527 1,936 134 0 40 0 809 80 1,963 259 2,992 788 661 1,786 160 242 788 713 75 63 60,044 61,436 130,600 1,507 0
48201541403 3,381 1,050 2,331 2,766 332 254 0 0 29 0 2,386 160 3,381 1,093 945 2,005 216 338 1,093 946 147 81 63,063 -6 154,300 1,014 0
48201541404 2,935 1,432 1,503 953 1,094 0 793 0 52 43 579 128 2,935 1,071 777 2,061 72 276 1,071 644 427 0 78,797 79,922 158,000 1,841 0
48201541500 5,728 2,716 3,012 3,274 618 30 687 5 544 570 2,662 353 5,728 1,622 1,426 3,563 478 467 1,622 1,362 260 184 78,981 80,119 155,200 1,763 0
48201541603 7,745 4,090 3,655 3,263 600 167 513 0 2,662 540 5,464 734 7,737 2,026 1,788 4,254 446 604 2,026 1,355 671 283 47,937 56,563 130,100 1,156 0
48201541604 9,551 4,541 5,010 5,455 1,364 40 1,275 0 878 539 2,087 1,281 9,544 3,234 2,557 6,439 537 730 3,234 2,999 235 60 95,406 96,586 236,200 1,788 0
48201541701 6,776 3,011 3,765 1,955 2,301 173 2,081 0 206 60 1,412 1,203 6,770 1,820 1,368 3,873 128 607 1,820 1,614 206 252 90,447 91,164 182,100 1,176 0
48201541702 2,594 1,035 1,559 1,173 1,162 0 130 0 6 123 729 92 2,594 1,204 660 1,539 71 244 1,204 0 1,204 15 49,500 49,344 -6 1,351 0
48201541703 2,532 997 1,535 1,493 455 23 0 0 146 415 674 106 2,532 1,135 679 1,679 102 23 1,135 349 786 428 76,614 88,207 169,500 1,105 0
48201541801 3,881 1,702 2,179 1,603 629 0 294 0 951 404 2,042 367 3,881 1,409 1,020 2,622 185 345 1,409 726 683 109 60,146 61,222 140,200 1,144 0
48201541802 2,967 1,552 1,415 1,290 869 40 329 0 146 293 677 33 2,967 1,150 927 1,788 189 89 1,150 127 1,023 390 57,484 77,656 233,800 1,345 0
48201541901 3,148 1,577 1,571 637 932 0 711 0 868 0 951 216 3,148 758 704 1,813 48 0 758 509 249 0 102,212 102,019 258,000 1,206 0
48201541902 4,327 2,448 1,879 2,692 730 0 226 0 110 569 1,562 451 4,322 1,349 1,053 2,982 439 315 1,349 1,116 233 42 98,714 108,065 187,200 1,866 0
48201542001 5,219 2,186 3,033 3,061 1,766 0 164 0 131 97 1,000 268 5,219 1,344 1,060 3,009 311 214 1,344 1,089 255 0 73,131 72,440 178,500 1,378 0
48201542002 2,463 959 1,504 1,311 470 0 51 147 0 484 806 242 2,463 859 618 1,464 0 266 859 745 114 0 128,951 136,083 187,900 -6 1
48201542003 3,437 1,496 1,941 2,106 333 52 677 0 215 54 1,448 318 3,437 1,122 882 2,173 309 145 1,122 912 210 0 58,839 48,295 190,300 -6 0
48201542004 3,617 1,961 1,656 2,116 145 0 227 0 310 819 1,109 489 3,617 990 962 2,098 487 230 990 729 261 0 73,929 74,206 164,800 1,565 0
48201542103 7,724 3,617 4,107 2,593 2,824 0 380 0 1,529 398 3,160 259 7,724 2,108 1,868 4,178 485 589 2,108 1,071 1,037 41 77,460 85,779 152,300 1,712 0
48201542104 6,248 2,831 3,417 3,658 753 91 0 0 149 1,597 3,909 128 6,248 2,252 2,038 4,137 611 368 2,252 1,108 1,144 0 61,621 61,868 137,300 1,195 0
48201542105 8,041 4,218 3,823 4,403 1,856 0 970 0 775 37 3,255 493 8,041 2,829 1,859 5,175 742 692 2,829 1,343 1,486 0 63,405 70,091 159,600 1,492 0
48201542106 8,707 4,490 4,217 4,637 2,533 360 313 0 359 505 4,034 365 8,707 2,659 1,849 5,142 536 392 2,659 2,298 361 153 72,388 80,875 160,100 2,109 0
48201542107 3,347 1,585 1,762 1,902 274 33 66 0 923 149 2,286 95 3,347 984 774 1,698 133 159 984 806 178 36 74,808 86,452 145,100 1,677 0
48201542108 4,959 2,639 2,320 1,084 1,969 0 107 0 995 804 2,168 273 4,959 1,305 1,230 3,014 298 551 1,305 992 313 0 92,632 74,631 216,400 1,758 0
48201542201 6,814 2,554 4,260 3,184 2,813 9 143 0 523 142 2,850 536 6,814 1,736 1,464 3,970 266 491 1,736 1,483 253 100 76,058 81,043 149,400 1,687 0
48201542202 7,850 3,256 4,594 2,936 2,784 114 269 0 1,098 649 3,304 171 7,850 2,082 1,796 4,115 471 705 2,082 1,490 592 128 62,359 83,115 196,700 1,724 0
48201542203 9,789 5,174 4,615 3,888 1,871 0 339 0 3,202 489 5,860 575 9,789 2,841 2,447 5,955 790 744 2,841 2,284 557 164 78,229 76,835 169,700 1,732 0
48201542302 7,889 3,920 3,969 4,107 1,627 0 648 0 856 651 3,691 970 7,889 2,532 1,991 5,294 766 637 2,532 1,896 636 18 93,170 100,495 188,500 1,130 0
48201542303 3,827 1,755 2,072 2,187 398 40 232 0 650 320 1,562 690 3,827 1,312 950 2,876 322 584 1,312 1,073 239 0 93,188 97,358 177,000 1,632 0
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48201542305 4,416 2,364 2,052 2,460 770 0 211 0 726 249 2,623 194 4,416 1,351 992 2,672 425 360 1,351 1,029 322 74 80,753 87,857 178,400 1,776 0
48201542401 4,624 2,544 2,080 2,599 1,066 0 210 0 574 175 2,390 192 4,619 1,534 1,168 2,888 603 433 1,534 406 1,128 102 45,294 51,278 140,100 1,155 0
48201542402 7,331 3,815 3,516 4,129 823 25 495 0 1,622 237 4,443 490 7,220 2,042 1,539 4,282 524 451 2,042 1,022 1,020 84 66,631 81,641 162,800 1,400 0
48201542500 3,176 1,240 1,936 2,367 152 0 64 0 125 468 723 797 3,176 1,597 804 2,608 127 302 1,597 699 898 97 71,546 127,946 241,800 1,338 0
48201542600 5,784 2,820 2,964 3,873 520 39 469 0 335 548 1,869 458 5,784 1,792 1,447 3,559 307 459 1,792 1,448 344 24 98,487 97,463 201,200 1,733 0
48201542700 5,739 2,864 2,875 4,600 346 0 205 0 420 168 1,372 885 5,739 2,128 1,456 4,326 786 621 2,128 1,429 699 215 62,000 69,729 171,400 1,229 0
48201542800 10,174 5,232 4,942 7,739 527 23 183 0 1,303 399 3,579 1,232 10,174 2,988 2,707 6,665 955 383 2,988 2,568 420 144 96,570 104,716 189,100 1,080 0
48201542901 9,948 4,635 5,313 6,879 1,152 0 905 0 569 443 3,189 626 9,948 2,987 2,543 5,935 727 737 2,987 2,296 691 40 101,011 94,404 165,700 1,355 0
48201542902 19,684 9,544 10,140 10,612 2,811 0 2,951 0 1,425 1,885 5,959 1,183 19,684 5,825 4,837 11,724 1,331 1,280 5,825 4,825 1,000 513 107,283 115,058 251,500 1,708 0
48201543004 11,325 6,085 5,240 6,642 1,062 16 2,580 0 188 837 1,845 1,064 11,325 3,470 3,072 7,023 147 601 3,470 2,998 472 49 142,371 145,658 376,800 1,746 0
48201543005 6,560 2,919 3,641 2,814 2,456 421 349 0 373 147 2,410 428 6,560 1,969 1,691 3,768 419 473 1,969 1,652 317 329 97,612 94,946 229,400 1,894 0
48201543006 14,598 7,262 7,336 7,335 2,307 9 2,763 0 1,081 1,103 3,511 1,705 14,576 4,149 3,455 9,036 704 456 4,149 3,537 612 284 119,460 137,611 331,900 1,938 0
48201543007 17,714 8,791 8,923 11,139 1,972 44 2,089 0 205 2,265 4,312 1,161 17,714 5,105 4,259 10,121 458 984 5,105 4,337 768 377 154,471 172,998 365,700 1,614 0
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48201543010 5,196 2,228 2,968 3,091 1,366 113 57 0 147 422 3,054 28 5,196 1,243 1,172 2,552 140 342 1,243 899 344 0 71,208 71,083 143,400 1,707 0
48201543011 4,473 2,585 1,888 2,237 1,130 0 266 0 374 466 2,587 97 4,473 1,332 972 2,469 426 290 1,332 950 382 98 79,308 87,287 159,500 1,761 0
48201543100 2,800 1,537 1,263 1,506 358 61 21 0 587 267 1,234 207 2,736 846 699 1,763 238 180 846 720 126 48 93,333 94,547 168,100 957 0
48201543201 5,344 2,542 2,802 4,168 116 0 253 0 541 266 2,400 355 5,300 1,811 1,236 3,210 239 100 1,811 929 882 402 78,591 84,265 370,500 1,357 1
48201543202 3,671 1,850 1,821 2,546 197 37 450 0 107 334 1,137 473 3,671 1,663 995 2,691 232 149 1,663 694 969 171 64,095 83,596 355,800 1,168 0
48201550101 2,833 1,315 1,518 1,203 895 2 2 0 272 459 1,872 26 2,796 829 556 1,416 206 264 829 101 728 173 31,101 30,290 -6 813 0
48201550102 2,569 1,244 1,325 781 1,658 0 0 0 130 0 876 24 2,569 1,065 689 1,446 204 210 1,065 10 1,055 96 25,129 20,808 -6 838 0
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48201550305 3,181 1,314 1,867 1,383 1,295 0 16 0 360 127 1,444 303 3,181 1,111 723 2,065 238 548 1,111 748 363 66 67,408 91,350 120,300 1,192 0
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48201550308 3,339 1,702 1,637 1,588 1,565 0 0 0 124 62 1,364 89 3,339 1,340 686 1,624 21 505 1,340 0 1,340 220 26,450 29,472 -6 919 0
48201550403 2,705 1,276 1,429 622 1,796 0 14 0 215 58 824 41 2,705 1,402 658 1,693 102 403 1,402 0 1,402 392 39,234 -6 -6 920 0
48201550404 7,402 3,608 3,794 1,128 4,427 0 812 0 765 270 1,728 713 7,402 1,926 1,717 4,527 602 733 1,926 1,457 469 25 59,593 63,566 163,000 1,480 0
48201550405 8,644 4,543 4,101 2,948 3,507 0 203 0 1,316 670 3,984 577 8,644 2,567 1,829 4,714 560 628 2,567 707 1,860 175 46,351 50,013 85,400 1,071 0
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48201550500 7,058 3,540 3,518 2,823 2,073 103 677 0 620 762 3,677 468 7,044 1,928 1,533 4,191 841 706 1,928 1,005 923 139 56,439 66,010 152,400 1,016 0
48201550601 7,514 3,518 3,996 2,948 2,372 0 263 87 750 1,094 4,248 801 7,514 2,105 1,944 4,820 569 547 2,105 1,582 523 109 65,072 64,306 136,400 1,478 0
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48201551201 4,747 2,264 2,483 2,496 1,028 42 177 0 323 681 1,745 508 4,747 1,504 1,083 3,296 472 673 1,504 975 529 42 49,691 69,179 190,300 943 0
48201551202 3,597 1,587 2,010 1,784 321 0 105 0 480 907 1,872 467 3,597 1,258 881 2,196 49 268 1,258 536 722 0 65,326 82,733 191,300 1,227 0
48201551300 4,047 1,852 2,195 1,448 947 0 1,504 0 61 87 829 615 4,039 1,143 1,030 2,748 531 554 1,143 948 195 29 87,743 97,500 181,400 1,527 0
48201551400 5,683 3,033 2,650 2,147 1,167 72 1,431 3 637 226 1,458 803 5,683 2,208 1,325 4,303 543 399 2,208 1,545 663 161 76,334 84,548 209,400 1,306 0
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48201551502 4,583 2,049 2,534 998 1,167 0 855 0 1,563 0 2,072 460 4,583 1,365 1,053 2,331 87 351 1,365 858 507 42 47,621 47,146 178,100 1,186 0
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48201551602 6,031 3,385 2,646 3,984 1,292 24 89 0 432 210 2,900 512 5,814 1,632 1,215 3,343 351 278 1,632 787 845 39 58,274 50,045 138,900 1,169 0
48201551702 4,540 2,127 2,413 2,945 124 0 1,009 0 60 402 642 454 4,540 1,454 1,317 2,991 215 345 1,454 1,292 162 0 126,417 127,125 270,300 2,205 0
48201551703 8,550 4,529 4,021 3,893 854 25 2,358 0 603 817 2,219 856 8,550 3,108 2,230 6,172 684 528 3,108 1,782 1,326 128 84,858 97,222 180,000 1,326 0
48201551704 3,838 1,875 1,963 2,259 361 0 617 0 25 576 755 556 3,838 1,401 1,071 2,692 164 210 1,401 1,123 278 187 119,219 134,900 246,300 1,004 0
48201551705 4,983 2,462 2,521 2,987 807 0 366 0 291 532 1,976 432 4,983 1,744 1,264 3,268 413 525 1,744 893 851 115 65,121 76,810 165,200 1,356 0
48201551800 4,090 1,938 2,152 3,644 91 0 166 0 23 166 589 1,031 4,083 1,628 1,208 3,161 187 297 1,628 1,588 40 86 123,625 126,094 274,900 1,600 0
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48201551902 4,251 1,749 2,502 1,867 1,624 0 41 0 212 507 1,256 77 4,251 2,134 981 2,717 313 274 2,134 0 2,134 286 45,402 37,365 -6 1,189 0
48201552002 1,476 688 788 799 350 0 159 0 137 31 409 119 1,476 565 384 965 98 68 565 253 312 127 66,547 101,667 219,200 1,180 1
48201552003 4,510 2,078 2,432 2,558 735 0 722 0 0 495 1,283 453 4,508 1,868 1,178 3,335 191 455 1,868 1,213 655 65 85,852 105,942 194,200 1,222 1
48201552004 3,741 2,091 1,650 2,524 624 0 31 0 220 342 1,432 497 3,741 1,735 878 2,779 497 410 1,735 794 941 45 70,156 66,042 166,600 876 0
48201552101 4,865 2,432 2,433 2,386 1,175 10 723 0 436 135 1,795 323 4,865 1,686 1,132 3,044 331 309 1,686 715 971 49 74,369 82,461 178,700 1,382 0
48201552102 6,199 3,121 3,078 4,272 907 0 602 0 369 49 1,457 1,560 6,199 2,385 1,743 4,750 822 609 2,385 1,764 621 0 71,722 103,099 212,700 998 0
48201552103 3,899 1,801 2,098 1,936 1,102 11 284 0 244 322 1,055 534 3,899 1,209 817 2,386 245 432 1,209 803 406 61 80,781 107,011 170,100 1,149 0
48201552200 8,109 4,086 4,023 4,788 1,142 0 1,336 0 374 469 3,251 703 8,090 2,772 1,904 5,245 502 390 2,772 1,389 1,383 214 79,750 81,071 174,400 1,371 0
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48201552303 2,616 1,140 1,476 1,478 851 0 83 0 39 165 419 91 2,616 1,258 694 1,608 113 120 1,258 161 1,097 195 51,176 52,176 -6 1,098 0
48201552304 2,244 788 1,456 1,390 197 0 18 0 0 639 344 403 2,244 778 596 1,492 47 110 778 693 85 20 83,295 128,167 193,900 1,084 0
48201552401 6,063 2,307 3,756 2,436 1,725 0 503 0 357 1,042 2,360 709 6,063 2,079 1,482 3,882 265 456 2,079 799 1,280 91 52,104 81,149 195,700 1,048 0
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48201552501 4,644 2,656 1,988 3,158 417 216 267 0 426 160 2,547 309 4,636 1,586 1,322 2,929 386 488 1,586 903 683 169 47,167 40,609 186,600 1,274 0
48201552502 6,418 3,262 3,156 3,722 1,014 47 1,022 0 361 252 2,680 570 6,418 2,028 1,594 3,782 496 507 2,028 1,409 619 81 71,968 65,523 167,100 1,404 0
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48201553403 7,690 3,742 3,948 5,040 1,236 45 1,051 0 199 119 2,002 821 7,690 2,378 1,853 5,008 375 308 2,378 1,679 699 108 87,415 105,605 237,500 1,661 0
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48201553500 6,645 3,613 3,032 5,447 310 0 244 0 346 298 1,796 1,021 6,645 2,498 1,689 4,121 363 435 2,498 1,567 931 103 76,229 94,496 186,900 1,387 0
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48201553602 2,416 892 1,524 1,325 427 93 27 123 407 14 659 202 2,416 1,011 576 1,461 267 80 1,011 71 940 262 44,698 58,205 141,000 1,101 0
48201553700 4,349 2,143 2,206 2,155 1,077 0 658 0 240 219 974 617 4,349 1,616 1,179 2,900 309 205 1,616 907 709 217 74,306 88,493 265,100 1,106 0
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48201553804 5,644 2,820 2,824 3,623 752 0 599 0 599 71 2,027 523 5,637 1,990 1,394 3,338 409 309 1,990 765 1,225 185 65,250 76,071 161,200 1,314 0
48201553901 6,373 3,124 3,249 3,737 333 0 732 0 119 1,452 2,194 756 6,368 1,805 1,638 4,164 148 278 1,805 1,705 100 132 161,217 167,212 326,600 -6 0
48201554001 2,921 1,460 1,461 1,975 396 0 241 0 34 275 670 608 2,921 1,133 778 2,016 156 348 1,133 567 566 225 72,306 82,000 230,000 1,136 0
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48201554103 5,297 2,884 2,413 3,500 458 0 404 0 545 390 1,201 643 5,297 1,736 1,472 3,448 329 243 1,736 1,387 349 90 98,297 101,681 184,700 1,765 0
48201554104 4,270 2,157 2,113 2,380 756 0 946 0 119 69 531 483 4,270 1,407 1,184 2,857 166 275 1,407 1,284 123 0 104,779 123,750 246,500 1,625 0
48201554201 6,244 2,842 3,402 4,358 758 65 289 0 168 606 2,159 712 6,244 2,648 1,551 4,246 249 324 2,648 990 1,658 185 67,247 81,267 189,600 1,714 0
48201554202 3,742 1,864 1,878 3,011 159 32 139 0 290 111 1,133 305 3,742 1,293 821 2,290 232 372 1,293 593 700 0 71,861 75,396 168,000 1,247 0
48201554301 7,403 3,726 3,677 5,863 878 0 413 0 105 144 666 1,577 7,403 2,678 2,351 5,391 415 400 2,678 2,421 257 109 120,000 123,105 239,600 2,557 0
48201554302 4,013 1,940 2,073 2,528 808 0 489 0 162 26 760 468 4,013 1,390 1,127 2,580 139 148 1,390 987 403 197 93,243 94,223 290,000 1,298 0
48201554404 4,386 2,047 2,339 3,752 146 0 73 0 281 134 856 542 4,386 1,592 1,228 2,958 161 59 1,592 1,489 103 43 114,340 138,000 285,800 -6 0
48201554405 8,950 4,407 4,543 5,792 2,338 25 508 0 216 71 1,909 466 8,950 2,778 2,316 5,805 341 638 2,778 2,343 435 33 109,197 121,827 252,000 1,668 0
48201554406 4,256 2,205 2,051 3,249 114 0 608 0 207 78 1,266 330 4,256 1,345 1,138 2,846 304 393 1,345 1,277 68 119 117,933 121,298 239,800 -6 0
48201554407 5,706 2,490 3,216 4,146 685 0 722 0 0 153 1,049 581 5,698 2,047 1,897 4,191 480 409 2,047 1,840 207 0 113,155 113,694 214,900 2,209 0
48201554408 9,028 4,148 4,880 6,592 798 0 705 0 276 657 2,112 789 9,028 2,884 2,232 5,414 278 423 2,884 2,720 164 76 101,236 110,043 252,700 1,613 0
48201554409 7,829 4,011 3,818 6,049 94 0 1,155 0 58 473 983 949 7,829 2,486 2,304 5,035 63 496 2,486 2,202 284 144 134,207 133,638 345,500 1,706 0
48201554410 3,490 1,462 2,028 2,818 57 0 452 0 0 163 246 572 3,490 1,226 926 2,379 173 226 1,226 1,226 0 0 95,667 104,638 266,900 -6 0
48201554501 6,574 3,429 3,145 4,630 408 0 401 0 505 630 1,895 534 6,574 2,079 1,851 4,064 167 335 2,079 2,079 0 21 143,839 148,292 330,400 -6 0
48201554502 5,672 2,616 3,056 4,990 102 41 224 0 104 211 674 762 5,672 2,151 1,845 4,164 199 298 2,151 2,066 85 32 123,397 131,220 286,800 1,571 0
48201554600 4,610 2,324 2,286 4,246 148 0 62 0 17 137 547 702 4,610 1,592 1,326 3,290 298 248 1,592 1,504 88 77 132,434 150,000 278,900 -6 0
48201554701 2,973 1,536 1,437 1,995 97 0 471 0 45 365 769 626 2,973 1,183 777 2,060 130 171 1,183 434 749 65 72,547 74,254 217,900 1,255 0
48201554702 4,543 2,198 2,345 3,941 124 0 294 0 144 40 790 728 4,543 1,513 1,262 3,081 182 250 1,513 1,335 178 57 124,948 125,523 263,400 1,552 0
48201554803 6,450 3,501 2,949 4,397 1,586 0 37 0 80 350 1,453 547 6,450 2,456 1,556 3,978 487 356 2,456 2,272 184 8 89,531 150,083 252,500 1,574 0
48201554804 5,232 2,684 2,548 3,232 252 0 1,734 0 0 14 818 472 5,200 1,576 1,375 3,188 90 163 1,576 1,479 97 0 141,520 157,788 325,500 1,078 0
48201554805 8,345 4,256 4,089 4,516 1,829 0 1,279 0 456 265 2,544 724 8,345 2,242 1,904 4,594 723 326 2,242 1,940 302 207 80,357 84,595 198,200 1,665 0
48201554806 2,582 1,520 1,062 1,517 485 0 326 0 254 0 969 128 2,582 753 568 1,493 358 98 753 590 163 0 94,736 102,629 164,500 -6 0
48201554807 7,792 3,998 3,794 5,968 654 291 363 0 379 137 3,110 699 7,763 2,216 1,696 4,783 562 453 2,216 1,729 487 0 84,459 93,597 168,100 1,709 0
48201554808 2,970 1,535 1,435 2,075 341 0 554 0 0 0 816 458 2,970 960 921 1,796 0 308 960 941 19 0 122,418 128,831 313,000 -6 0
48201554809 9,425 4,663 4,762 6,438 1,804 0 562 0 305 316 1,873 653 9,425 3,016 2,718 6,116 445 463 3,016 2,362 654 171 95,500 95,600 313,700 1,582 0
48201554902 9,825 4,919 4,906 7,270 864 56 686 0 498 451 1,793 1,223 9,789 3,308 2,593 6,442 526 556 3,308 2,938 370 12 106,400 116,841 238,000 1,270 0
48201554904 3,743 1,907 1,836 1,591 455 0 625 0 483 589 909 187 3,743 1,150 1,073 2,194 280 165 1,150 966 184 0 100,417 101,366 206,600 1,822 0
48201554905 5,402 2,795 2,607 3,736 288 0 816 0 208 354 840 676 5,402 1,858 1,557 3,680 295 337 1,858 1,440 418 11 109,400 136,103 333,700 1,377 0
48201554906 4,139 1,891 2,248 3,560 345 0 97 0 103 34 970 304 4,139 1,367 1,222 2,710 408 335 1,367 1,216 151 0 87,560 86,911 199,600 1,843 0
48201554907 3,831 1,844 1,987 2,853 516 0 180 0 185 97 1,410 351 3,831 1,242 893 2,283 309 425 1,242 922 320 36 71,567 71,815 195,100 1,517 0
48201554908 7,165 3,636 3,529 3,590 454 12 1,141 0 913 1,055 2,685 809 7,165 2,377 2,217 4,445 279 321 2,377 1,938 439 130 77,052 80,341 180,100 1,269 0
48201555001 2,493 1,590 903 1,031 937 62 397 0 48 18 415 363 2,493 661 525 1,544 154 215 661 536 125 63 86,964 112,552 220,000 -6 0
48201555002 5,782 2,837 2,945 3,954 487 0 42 0 835 464 1,936 755 5,782 1,948 1,338 3,818 286 670 1,948 1,482 466 35 86,331 86,436 171,500 1,646 0
48201555101 4,659 2,252 2,407 2,929 592 0 536 0 107 495 1,723 473 4,659 1,492 1,065 2,723 250 520 1,492 1,217 275 83 78,214 101,988 172,900 1,657 0
48201555102 5,439 2,571 2,868 3,597 856 0 410 23 235 318 1,236 444 5,434 1,943 1,503 3,614 502 371 1,943 1,158 785 28 91,388 91,472 188,300 1,604 0
48201555200 11,851 5,882 5,969 8,444 1,050 76 352 0 615 1,314 5,113 475 11,851 3,349 2,565 6,163 670 550 3,349 2,344 1,005 457 78,157 85,375 214,900 1,666 0
48201555301 3,765 1,826 1,939 3,259 116 35 90 0 160 105 923 318 3,765 1,329 1,022 2,484 257 191 1,329 914 415 222 134,735 149,531 343,000 1,475 0
48201555303 12,733 6,291 6,442 9,330 1,559 4 498 0 479 863 2,828 974 12,733 4,425 3,402 7,644 455 536 4,425 3,249 1,176 86 105,250 123,469 294,300 1,418 0
48201555304 8,106 3,857 4,249 6,190 884 7 497 0 86 442 1,652 1,093 8,106 2,618 2,219 5,749 645 1,030 2,618 2,417 201 147 128,667 143,203 325,500 1,669 0
48201555305 10,401 5,110 5,291 8,388 439 19 567 35 107 846 2,842 617 10,401 3,361 2,821 6,063 114 229 3,361 2,692 669 299 170,200 188,229 478,500 1,994 0
48201555401 2,172 1,014 1,158 1,915 180 0 3 0 58 16 411 394 2,056 753 536 1,443 140 166 753 542 211 98 69,648 89,118 320,600 1,144 0
48201555403 4,561 2,362 2,199 4,309 105 0 90 0 28 29 812 649 4,445 1,676 1,017 3,141 343 288 1,676 848 828 118 68,873 98,224 199,300 1,082 0
48201555404 4,254 1,876 2,378 3,353 614 6 0 0 5 276 1,265 1,155 4,029 1,842 896 2,872 254 579 1,842 558 1,284 23 36,957 68,750 181,300 977 0
48201555501 6,248 3,497 2,751 4,576 332 0 26 0 357 957 2,439 961 6,243 1,891 1,705 4,187 644 666 1,891 1,513 378 242 75,505 80,770 254,400 1,165 1
48201555503 11,944 6,149 5,795 8,925 447 0 971 0 1,122 479 2,808 1,022 11,911 3,815 3,192 7,441 324 810 3,815 3,369 446 111 101,042 96,616 287,500 1,305 0
48201555504 8,577 3,798 4,779 6,724 1,050 0 244 0 396 163 1,526 435 8,577 2,738 2,253 4,992 315 307 2,738 2,020 718 195 126,784 140,817 223,800 1,673 0
48201555505 8,518 4,267 4,251 5,791 304 0 1,428 0 0 995 1,127 854 8,518 2,826 2,423 5,544 456 559 2,826 2,650 176 70 131,059 131,910 291,500 1,143 0
48201555600 6,378 3,300 3,078 4,906 576 128 243 0 33 492 1,485 903 6,368 1,999 1,695 4,123 495 366 1,999 1,923 76 93 119,092 119,208 357,100 890 0
48201555701 11,086 5,796 5,290 7,784 1,704 0 519 0 427 652 2,110 763 11,086 3,267 2,837 6,610 729 671 3,267 2,759 508 158 110,467 112,313 246,700 1,803 0
48201555703 6,308 3,109 3,199 4,822 438 0 206 7 553 282 1,180 576 6,308 2,036 1,733 3,959 56 188 2,036 1,467 569 52 105,600 108,838 265,300 1,437 0
48201555704 7,774 3,674 4,100 6,370 601 0 417 0 234 152 950 694 7,774 2,237 2,059 4,526 263 288 2,237 2,176 61 47 143,385 146,661 315,400 2,023 0
48201556000 9,360 4,874 4,486 6,457 650 25 316 9 1,690 213 4,485 477 9,317 3,115 2,117 5,102 907 831 3,115 2,243 872 299 65,171 75,074 207,300 1,245 0
48201556100 3,967 1,901 2,066 3,337 455 0 43 0 50 82 479 1,028 3,967 1,256 1,151 2,882 206 446 1,256 1,200 56 5 119,000 122,578 268,700 2,150 0
48201980000 16 7 9 3 13 0 0 0 0 0 0 6 16 9 6 16 7 0 9 6 3 0 -6 -6 -6 -6 0
48201980100 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -6 -6 -6 -6 -6
48201980200 8,032 7,488 544 3,110 4,067 73 9 9 181 583 2,170 174 84 55 31 6,631 2,446 160 55 4 51 0 -6 183,750 -6 1,779 0
48201980300 2,776 1,382 1,394 1,438 407 0 744 0 49 138 469 0 0 0 0 118 0 0 0 0 0 0 -6 -6 -6 -6 -6
48201980400 4,154 1,939 2,215 2,166 871 0 784 0 64 269 800 0 0 0 0 344 0 0 0 0 0 0 -6 -6 -6 -6 -6
48201980700 1,435 883 552 1,191 112 0 76 9 18 29 139 65 1,435 1,048 237 1,185 51 20 1,048 288 760 219 116,500 184,766 330,600 2,060 0


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

Follow these steps:
  • Sign in and choose the "MetroDynamics" GIS project.
  • Click this link to start VDA .. the map interface opens in a new window.
  • In upper right, above map window of VDA page, enter the "County" code 48201 .. key the code into the edit box.
  • Clicking the Query button, the map window refreshes with the zoom to county view.
  • Use Zoom buttons (or zoom by mouse window) to preferred view.

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




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