Educational Attainment in Bristol, Kenosha County, Wisconsin (Village)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Kenosha County and Bristol
Bristol
Kenosha County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma235.052946%34.791620%35.052946%35.1%1,29158.131958%55.205213%58.131958%58.1%2,1416.815096%10.003168%6.815096%6.8%251
Count number of people in category
1Post-Secondary Degree 2H.S. = High School

Relative Educational Attainment#2

Highest level of education among people aged 25 years and older, as percentage more or less than Kenosha County at large.
Scope: population of Kenosha County and Bristol
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma20.751119%0.751119%+0.8%35.053%35.1%34.792%34.8%5.301573%5.301573%+5.3%58.132%58.1%55.205%55.2%-31.870617%-31.870617%-31.9%6.815%6.82%10.003%10.0%
% percentage with given level in Bristol
ref. percentage with given level in Kenosha County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Kenosha County and Bristol
Bristol
Kenosha County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.330437%0.843477%1.330437%1.3%490.407277%1.012716%0.407277%0.4%157.086614%6.631069%7.086614%7.1%26114.960630%16.159102%14.960630%15.0%55111.267988%10.145255%11.267988%11.3%41521.830030%22.882483%21.830030%21.8%80436.301928%32.322730%36.301928%36.3%1,3375.321749%6.883569%5.321749%5.3%1960.787402%2.060727%0.787402%0.8%290.705946%1.058871%0.705946%0.7%26
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Kenosha County at large.
Scope: population of Kenosha County and Bristol
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None57.732459%57.732459%+57.7%1.330%1.33%0.843%0.84%-59.783703%-59.783703%-59.8%0.407%0.41%1.013%1.01%6.869856%6.869856%+6.9%7.087%7.09%6.631%6.63%-7.416701%-7.416701%-7.4%14.961%15.0%16.159%16.2%11.066578%11.066578%+11.1%11.268%11.3%10.145%10.1%-4.599385%-4.599385%-4.6%21.830%21.8%22.882%22.9%12.310836%12.310836%+12.3%36.302%36.3%32.323%32.3%-22.689113%-22.689113%-22.7%5.322%5.32%6.884%6.88%-61.790102%-61.790102%-61.8%0.787%0.79%2.061%2.06%-33.330316%-33.330316%-33.3%0.706%0.71%1.059%1.06%
% percentage with given level in Bristol
ref. percentage with given level in Kenosha County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Kenosha County and Bristol
More Females More Males
Kenosha County
Bristol
0%50%100%150%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-5.730226%-11.359149%-5.730226%6%35.996%36.0%34.045%34.0%-8.748016%-8.748016%9%2.621339%60.483%60.5%55.618%55.6%193.603891%25.940122%193.603891%194%3.521%3.52%10.337%10.3%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Kenosha County and Bristol
More Females More Males
Kenosha County
Bristol
0%500%1,000%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None120.502107%32.754699%120.502107%121%0.841%0.84%1.854%1.85%1,000.000000%72.601323%1,000.000000%> 1000%0.000%0%0.843%0.84%-20.612883%-34.566444%-20.612883%21%7.725%7.72%6.404%6.40%-83.552851%-3.683429%-83.552851%84%19.180%19.2%10.449%10.4%-21.767169%75.686681%75.686681%76%8.250%8.25%14.494%14.5%-8.369811%19.289178%19.289178%19%19.968%20.0%23.820%23.8%-27.414590%-27.414590%27%10.622003%40.515%40.5%31.798%31.8%220.730337%28.903436%220.730337%221%2.575%2.57%8.258%8.26%-15.121872%-15.121872%15%25.309230%0.841%0.84%0.730%0.73%1,000.000000%9.416910%1,000.000000%> 1000%0.105%0.11%1.348%1.35%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Kenosha County and Bristol
Bristol
Kenosha County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-346.577595%10.713773%6.577595%6.6%6497314.209827%15.065474%14.209827%14.2%2141,50616.904762%18.091194%16.904762%16.9%7142025.765306%21.975064%25.765306%25.8%202784
B.X. number of people with a Bachelor's degree
Total number of people in age cohort

Relative Bachelor's Degrees By Age#8

Percentage of population whose highest degree is a Bachelor's, as a percentage more or less than Kenosha County at large.
Scope: population of Kenosha County and Bristol
30%20%10%0%10%%ref.65+45-6435-4425-34-38.606178%-38.606178%38.6%6.578%6.58%10.714%10.7%-5.679521%-5.679521%5.7%14.210%14.2%15.065%15.1%-6.558066%-6.558066%6.6%16.905%16.9%18.091%18.1%17.247924%17.247924%17.2%25.765%25.8%21.975%22.0%
% percentage in Bristol with a Bachelor's degree
ref percentage in Kenosha County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Kenosha County and Bristol
More Females More Males
Kenosha County
Bristol
150%100%50%0%FM65+45-6435-4425-34-162.286733%-162.286733%162.3%22.274620%8.913%8.91%3.398%3.40%-94.751485%-94.751485%94.8%9.375659%18.362%18.4%9.429%9.43%-158.479532%-21.125376%-158.479532%158.5%24.074%24.1%9.314%9.31%-91.666667%-31.698226%-91.666667%91.7%35.938%35.9%18.750%18.8%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Kenosha County and Bristol
Bristol
Kenosha County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$62,639.000000$66,044.000000$62,639.000000$62.6k3258.824%8.82%$42,348.000000$49,737.000000$42,348.000000$42.3k55114.961%15.0%$29,900.000000$35,436.000000$29,900.000000$29.9k1,21933.098%33.1%$37,572.000000$30,138.000000$37,572.000000$37.6k1,33736.302%36.3%$40,489.000000$36,879.000000$40,489.000000$40.5k3,683100.000%100%
Count number of people with given highest level of educational attainment
% percentage of people with given highest level of educational attainment
1or professional degree 2H.S. = High School

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of Kenosha County and Bristol
Female Male
Kenosha County
Bristol
Shaded bar tips show excess over facing bar.
$0k$50kFMBachelor's DegreeSome CollegeTotal$-41,367.000000$-7,591.000000$-42,927.000000$-48,958.000000$49.0k$41,367.000000$42,927.000000$18,121.000000$41,367.000000$41.4k365186$-23,260.000000$-28,441.000000$-23,260.000000$23.3k$23,260.000000$18,959.000000$28,441.000000$16,837.000000$42,219.000000$42.2k537682$-37,352.000000$-30,567.000000$-37,352.000000$37.4k$37,352.000000$4,115.000000$30,567.000000$12,917.000000$41,467.000000$41.5k1,9031,780
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Kenosha County and Bristol
Bristol
Kenosha County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma390.375000%83.748627%90.375000%90.4%72371.399177%74.678712%71.399177%71.4%69467.365662%70.646840%67.365662%67.4%51465.714286%53.291909%65.714286%65.7%115
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Kenosha County and Bristol
Female Male
Kenosha County
Bristol
Shaded bar tips show excess over facing bar.
20%10%0%10%20%30%MFWhite1AsianHispanic2-2.902675%-6.356645%-2.902675%2.9%2.902675%7.066556%6.356645%2.184191%9.969231%10.0%16251-0.000000%-9.943978%-3.174085%0.000000%0.0%0.000000%0.000000%9.943978%0.000000%0.0%00-14.285714%-28.052412%-14.285714%14.3%14.285714%6.666667%28.052412%3.073801%20.952381%21.0%2216
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Kenosha County and Bristol
Female Male
Kenosha County
Bristol
Shaded bar tips show excess over facing bar.
100%50%0%50%100%MFWhite1AsianHispanic2-19.507692%-9.348312%-25.887360%-1.168857%-28.856005%28.9%19.507692%25.887360%19.507692%19.5%317507-100.000000%-43.188698%-100.000000%100.0%100.000000%0.000000%43.188698%4.150237%100.000000%100.0%1221-0.000000%-7.980583%-4.884218%0.000000%0.0%0.000000%0.000000%7.980583%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in Bristol

Coarse: Post-Secondary Degree Educational Attainment by Tract#15

Percentage of the population 25 years and older with given highest level of educational attainment
40.4%41.3%42.2%43.1%43.9%44.8%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
45.8%47.4%48.9%50.4%52.0%53.6%

Coarse: No High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
6.0%6.7%7.4%8.0%8.7%9.4%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.37%0.53%0.69%0.85%1.01%1.18%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.50%0.69%0.89%1.08%1.27%1.47%

Detailed: Master's Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
10.645%10.661%10.676%10.691%10.706%10.721%

Detailed: Bachelor's Degree Educational Attainment by Tract#21

Percentage of the population 25 years and older with given highest level of educational attainment
18.2%19.0%19.8%20.6%21.4%22.2%

Detailed: Associate's Degree Educational Attainment by Tract#22

Percentage of the population 25 years and older with given highest level of educational attainment
9.928%9.960%9.991%10.023%10.055%10.087%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
18.95%19.39%19.83%20.27%20.71%21.15%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
26.8%28.0%29.1%30.2%31.3%32.4%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
4.68%4.84%4.99%5.14%5.28%5.44%

Detailed: Less than High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.69%1.15%1.61%2.06%2.52%2.98%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.62%0.69%0.76%0.83%0.91%0.98%
Road Data ©OpenStreetMap

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Educational Attainment by Neighborhood in Bristol

There is 1 neighborhood that are fully or partially contained within Bristol (0 fully and 1 partially). This section compares all 1 of those to each other, Bristol, and other entities that contain or substantially overlap with Bristol.

No H.S. Diploma by Neighborhood#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Bristol, selected neighborhoods in Bristol, and entities that contain Bristol
0%5%10%Count#United States of AmericaUnited StatesChicago, Naperville, and Elgin Metro AreaChicago AreaEast North CentralMidwestKenosha CountyKenoshaWisconsinBristolBristolRiver Crossing NeighborhoodRiv Crossing13.020590%13.020590%13.0%27,818,38027.8M12.363193%12.363193%12.4%786,419786k10.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.003168%10.003168%10.0%11,05311.1k8.637220%8.637220%8.6%336,096336k6.815096%6.815096%6.8%2516.815096%6.815096%6.8%2514.336084%4.336084%4.3%50511
Count number of people in category
# rank of neighborhood out of 1 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Neighborhood#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Bristol, selected neighborhoods in Bristol, and entities that contain Bristol
0%10%20%30%Count#River Crossing NeighborhoodRiv CrossingChicago, Naperville, and Elgin Metro AreaChicago AreaUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinKenosha CountyKenoshaBristolBristol37.870841%37.870841%37.9%443444136.061733%36.061733%36.1%2,293,8762.29M30.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M24.646364%24.646364%24.6%27,23327.2k23.784958%23.784958%23.8%87623.784958%23.784958%23.8%876
Count number of people in category
# rank of neighborhood out of 1 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Neighborhood#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Bristol, selected neighborhoods in Bristol, and entities that contain Bristol
0%1%2%3%Count#Chicago, Naperville, and Elgin Metro AreaChicago AreaUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinRiver Crossing NeighborhoodRiv CrossingKenosha CountyKenoshaBristolBristol3.767884%3.767884%3.8%239,674240k3.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.305688%2.305688%2.3%2711.856193%1.856193%1.9%2,0511.737714%1.737714%1.7%641.737714%1.737714%1.7%64
Count number of people in category
# rank of neighborhood out of 1 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by Neighborhood#31

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Bristol, selected neighborhoods in Bristol, and entities that contain Bristol
Female
Male
1x0x1x2xFM#BristolBristolKenoshaWisconsinMidwestEast North CentralUnited StatesChicago AreaRiv Crossing-1.000000x-1.000000x2.936039x2.936039x2.94x3.521%3.52%10.337%10.3%-1.000000x-1.000000x2.936039x2.936039x2.94x3.521%3.52%10.337%10.3%-1.000000x-1.000000x1.259401x1.259401x1.26x8.885%8.88%11.190%11.2%-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.086510x1.086510x1.09x11.871%11.9%12.898%12.9%-1.174250x-1.174250x1.17x1.000000x1.000000x4.679%4.68%3.985%3.98%1
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 1 by male-to-female sex ratio

Over-Education Sex Ratio by Neighborhood#32

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Bristol, selected neighborhoods in Bristol, and entities that contain Bristol
Female
Male
2x1x0x1x2x3xFM#BristolBristolEast North CentralMidwestWisconsinKenoshaUnited StatesChicago AreaRiv Crossing-1.000000x-1.000000x3.207303x3.207303x3.21x0.841%0.84%2.697%2.70%-1.000000x-1.000000x3.207303x3.207303x3.21x0.841%0.84%2.697%2.70%-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.529626x1.529626x1.53x1.477%1.48%2.259%2.26%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.466259x1.466259x1.47x3.080%3.08%4.516%4.52%-2.594659x-2.594659x2.59x1.000000x1.000000x3.312%3.31%1.276%1.28%1
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 1 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Chicago Area

There are 226 county subdivisions in the Chicago Area. This section compares Bristol to the 50 most populous county subdivisions in the Chicago Area and to those entities that contain or substantially overlap with Bristol. The least populous of the compared county subdivisions has a population of 54,390.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Bristol, selected other county subdivisions in the Chicago Area, and entities that contain Bristol
0%10%20%30%40%Count#Cicero TownshipCiceroAurora TownshipAuroraWaukegan TownshipWaukeganJoliet TownshipJolietBerwyn TownshipBerwynElgin TownshipElginDundee TownshipDundeeAvon TownshipNorth TownshipNAddison TownshipAddisonChicagoLeyden TownshipLeydenHanover TownshipHanoverProviso TownshipProvisoCalumet TownshipCalumetBloom TownshipBloomUnited States of AmericaUnited StatesThornton TownshipThorntonLockport TownshipLockportChicago, Naperville, and Elgin Metro AreaChicago AreaBloomingdale TownshipBloomingdaleDu Page TownshipDu PageLyons TownshipLyonsKenoshaElk Grove TownshipElk GrvMaine TownshipMaineEast North CentralWorth TownshipWorthBremen TownshipBremenMidwestKenosha CountyKenoshaNiles TownshipNilesWisconsinPalos TownshipPalosWayne TownshipWayneWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgPlainfield TownshipPlainfieldWarren TownshipWarrenBristolBristolOswego TownshipOswegoRich TownshipEvanston TownshipEvanstonSt. John TownshipSt. JohnOrland TownshipOrlandAlgonquin TownshipAlgonquinYork TownshipMilton TownshipMiltonFrankfort TownshipFrankfortNaperville TownshipNapervilleDowners Grove TownshipDowners GrvNorthfield TownshipNorthfieldLisle TownshipLisleVernon TownshipVernonWheatland TownshipWheatlandNew Trier TownshipNew Trier40.114442%40.114442%40.1%18,78818.8k133.464284%33.464284%33.5%29,81429.8k231.446858%31.446858%31.4%16,85316.9k322.775172%22.775172%22.8%12,38412.4k421.373918%21.373918%21.4%7,682519.506942%19.506942%19.5%12,77112.8k618.075020%18.075020%18.1%7,416717.697067%17.697067%17.7%7,036817.062713%17.062713%17.1%17,39117.4k916.909837%16.909837%16.9%10,25710.3k1016.905373%16.905373%16.9%309,770310k1116.634243%16.634243%16.6%10,68810.7k1216.021941%16.021941%16.0%10,63210.6k1315.636222%15.636222%15.6%16,11016.1k1414.467691%14.467691%14.5%9,5291513.167693%13.167693%13.2%7,7801613.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k1712.907551%12.907551%12.9%5,1981812.363193%12.363193%12.4%786,419786k12.171847%12.171847%12.2%9,3751911.879050%11.879050%11.9%6,7102011.873376%11.873376%11.9%8,9082111.549265%11.549265%11.5%7,3602211.515152%11.515152%11.5%7,5432311.132206%11.132206%11.1%10,96511.0k2410.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k2510.610291%10.610291%10.6%7,8672610.244520%10.244520%10.2%4,641,8354.64M10.003168%10.003168%10.0%11,05311.1k9.916103%9.916103%9.9%7,659278.637220%8.637220%8.6%336,096336k8.476562%8.476562%8.5%3,329288.450611%8.450611%8.5%3,825298.424707%8.424707%8.4%9,343308.392669%8.392669%8.4%6,695317.739434%7.739434%7.7%7,226327.080707%7.080707%7.1%3,426337.009572%7.009572%7.0%2,900346.815096%6.815096%6.8%2516.815096%6.815096%6.8%2516.412564%6.412564%6.4%2,209356.047812%6.047812%6.0%3,223366.014252%6.014252%6.0%2,878375.972798%5.972798%6.0%2,793385.916957%5.916957%5.9%4,154395.784297%5.784297%5.8%3,411405.461095%5.461095%5.5%4,715415.266517%5.266517%5.3%4,126424.232189%4.232189%4.2%1,639434.145125%4.145125%4.1%2,742444.020265%4.020265%4.0%4,166453.621021%3.621021%3.6%2,240463.522812%3.522812%3.5%2,870473.190124%3.190124%3.2%1,491482.939840%2.939840%2.9%1,488491.433130%1.433130%1.4%52150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Bristol, selected other county subdivisions in the Chicago Area, and entities that contain Bristol
0%20%40%60%80%Count#New Trier TownshipNew TrierVernon TownshipVernonEvanston TownshipEvanstonNorthfield TownshipNorthfieldWheatland TownshipWheatlandNaperville TownshipNapervilleMilton TownshipMiltonLisle TownshipLisleDowners Grove TownshipDowners GrvPalatine TownshipPalatineYork TownshipWheeling TownshipWheelingNiles TownshipNilesWarren TownshipWarrenFrankfort TownshipFrankfortSchaumburg TownshipSchaumburgWayne TownshipWayneMaine TownshipMaineAlgonquin TownshipAlgonquinOswego TownshipOswegoOrland TownshipOrlandRich TownshipLyons TownshipLyonsChicagoDu Page TownshipDu PageChicago, Naperville, and Elgin Metro AreaChicago AreaElk Grove TownshipElk GrvPlainfield TownshipPlainfieldBloomingdale TownshipBloomingdaleSt. John TownshipSt. JohnHanover TownshipHanoverUnited States of AmericaUnited StatesPalos TownshipPalosAvon TownshipMidwestDundee TownshipDundeeEast North CentralWisconsinProviso TownshipProvisoWorth TownshipWorthElgin TownshipElginAddison TownshipAddisonKenosha CountyKenoshaBristolBristolBremen TownshipBremenKenoshaLockport TownshipLockportBloom TownshipBloomBerwyn TownshipBerwynLeyden TownshipLeydenNorth TownshipNThornton TownshipThorntonAurora TownshipAuroraJoliet TownshipJolietCalumet TownshipCalumetWaukegan TownshipWaukeganCicero TownshipCicero82.981240%82.981240%83.0%30,16730.2k167.578844%67.578844%67.6%31,58531.6k265.899735%65.899735%65.9%31,53531.5k364.724140%64.724140%64.7%40,03940.0k464.115381%64.115381%64.1%32,45232.5k558.586546%58.586546%58.6%38,75538.8k657.681507%57.681507%57.7%45,19045.2k756.900171%56.900171%56.9%46,35646.4k853.762123%53.762123%53.8%55,71155.7k949.860853%49.860853%49.9%39,77539.8k1049.728972%49.728972%49.7%42,93542.9k1146.409378%46.409378%46.4%51,46851.5k1246.325643%46.325643%46.3%35,78135.8k1345.538045%45.538045%45.5%18,84018.8k1442.794433%42.794433%42.8%16,57316.6k1541.792515%41.792515%41.8%39,02039.0k1640.377350%40.377350%40.4%18,27618.3k1739.511462%39.511462%39.5%38,91838.9k1839.087672%39.087672%39.1%23,05023.1k1938.809220%38.809220%38.8%13,36913.4k2038.394701%38.394701%38.4%26,95527.0k2137.195076%37.195076%37.2%19,82219.8k2236.653116%36.653116%36.7%27,49927.5k2336.546320%36.546320%36.5%669,666670k2436.139928%36.139928%36.1%20,41420.4k2536.061733%36.061733%36.1%2,293,8762.29M35.212579%35.212579%35.2%23,06623.1k2633.479384%33.479384%33.5%16,19916.2k2732.623147%32.623147%32.6%25,12725.1k2831.570506%31.570506%31.6%14,76314.8k2930.758450%30.758450%30.8%20,41120.4k3030.315023%30.315023%30.3%64,767,78764.8M29.633591%29.633591%29.6%11,63811.6k3129.196640%29.196640%29.2%11,60811.6k3228.952816%28.952816%29.0%13,118,64213.1M28.660216%28.660216%28.7%11,75911.8k3328.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M26.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3524.981289%24.981289%25.0%16,35516.4k3624.653379%24.653379%24.7%14,95415.0k3724.646364%24.646364%24.6%27,23327.2k23.784958%23.784958%23.8%87623.784958%23.784958%23.8%87622.955021%22.955021%23.0%17,02017.0k3822.927488%22.927488%22.9%14,61114.6k3922.241812%22.241812%22.2%8,9574022.102430%22.102430%22.1%13,05913.1k4121.245931%21.245931%21.2%7,6364220.075327%20.075327%20.1%12,89912.9k4319.650916%19.650916%19.7%20,02920.0k4418.971090%18.971090%19.0%21,01221.0k4515.929601%15.929601%15.9%14,19214.2k4614.331954%14.331954%14.3%7,7934713.054172%13.054172%13.1%8,5984812.345126%12.345126%12.3%6,616497.338372%7.338372%7.3%3,43750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Bristol, selected other county subdivisions in the Chicago Area, and entities that contain Bristol
0%5%10%15%Count#New Trier TownshipNew TrierEvanston TownshipEvanstonNorthfield TownshipNorthfieldVernon TownshipVernonDowners Grove TownshipDowners GrvYork TownshipWheatland TownshipWheatlandLisle TownshipLisleMilton TownshipMiltonNiles TownshipNilesLyons TownshipLyonsNaperville TownshipNapervilleChicagoWarren TownshipWarrenMaine TownshipMaineRich TownshipChicago, Naperville, and Elgin Metro AreaChicago AreaFrankfort TownshipFrankfortOrland TownshipOrlandPalatine TownshipPalatineWheeling TownshipWheelingUnited States of AmericaUnited StatesPalos TownshipPalosMidwestDu Page TownshipDu PageEast North CentralWisconsinSt. John TownshipSt. JohnSchaumburg TownshipSchaumburgElk Grove TownshipElk GrvWayne TownshipWayneAlgonquin TownshipAlgonquinAvon TownshipProviso TownshipProvisoOswego TownshipOswegoBloomingdale TownshipBloomingdaleWorth TownshipWorthHanover TownshipHanoverKenosha CountyKenoshaKenoshaBristolBristolBremen TownshipBremenBloom TownshipBloomBerwyn TownshipBerwynNorth TownshipNPlainfield TownshipPlainfieldDundee TownshipDundeeAddison TownshipAddisonElgin TownshipElginLeyden TownshipLeydenLockport TownshipLockportAurora TownshipAuroraThornton TownshipThorntonJoliet TownshipJolietCalumet TownshipCalumetWaukegan TownshipWaukeganCicero TownshipCicero19.288111%19.288111%19.3%7,012113.179947%13.179947%13.2%6,307210.526826%10.526826%10.5%6,51237.745304%7.745304%7.7%3,62047.658384%7.658384%7.7%7,93656.197734%6.197734%6.2%5,35166.195792%6.195792%6.2%3,13675.933545%5.933545%5.9%4,83485.800061%5.800061%5.8%4,54495.751055%5.751055%5.8%4,442104.805065%4.805065%4.8%3,605114.772487%4.772487%4.8%3,157124.485379%4.485379%4.5%82,18982.2k134.113893%4.113893%4.1%1,702144.030539%4.030539%4.0%3,970154.004353%4.004353%4.0%2,134163.767884%3.767884%3.8%239,674240k3.702843%3.702843%3.7%1,434173.647888%3.647888%3.6%2,561183.487439%3.487439%3.5%2,782193.407574%3.407574%3.4%3,779203.336158%3.336158%3.3%7,127,6737.13M3.195580%3.195580%3.2%1,255212.893416%2.893416%2.9%1,311,0191.31M2.860886%2.860886%2.9%1,616222.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.564048%2.564048%2.6%1,199232.551250%2.551250%2.6%2,382242.549424%2.549424%2.5%1,670252.359543%2.359543%2.4%1,068262.348652%2.348652%2.3%1,385272.303939%2.303939%2.3%916282.213918%2.213918%2.2%2,281292.168486%2.168486%2.2%747302.113682%2.113682%2.1%1,628311.958049%1.958049%2.0%2,049321.949999%1.949999%1.9%1,294331.856193%1.856193%1.9%2,0511.762204%1.762204%1.8%1,123341.737714%1.737714%1.7%641.737714%1.737714%1.7%641.700722%1.700722%1.7%1,261351.656963%1.656963%1.7%979361.588715%1.588715%1.6%571371.575684%1.575684%1.6%1,606381.564534%1.564534%1.6%757391.545248%1.545248%1.5%634401.506834%1.506834%1.5%914411.412882%1.412882%1.4%925421.408495%1.408495%1.4%905431.122396%1.122396%1.1%452440.936111%0.936111%0.9%834450.876686%0.876686%0.9%971460.823908%0.823908%0.8%448470.816835%0.816835%0.8%538480.630691%0.630691%0.6%338490.217781%0.217781%0.2%10250
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#36

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Bristol, selected other county subdivisions in the Chicago Area, and entities that contain Bristol
Female
Male
1x0x1x2xFM#BristolBristolPlainfieldLockportNapervilleBremenBloomAvon TownshipKenoshaRich TownshipWisconsinDu PageThorntonJolietProvisoCalumetBerwynKenoshaPalosElginElk GrvMidwestEast North CentralWarrenUnited StatesWorthOswegoNAuroraChicago AreaWheelingHanoverSchaumburgLeydenAddisonChicagoCiceroPalatineLyonsYork TownshipBloomingdaleFrankfortDundeeWaukeganAlgonquinNilesLisleWayneSt. JohnDowners GrvEvanstonMiltonMaineNew TrierOrlandNorthfieldVernonWheatland-1.000000x-1.000000x2.936039x2.936039x2.94x3.521%3.52%10.337%10.3%-1.000000x-1.000000x2.936039x2.936039x2.94x3.521%3.52%10.337%10.3%-1.000000x-1.000000x1.601881x1.601881x1.60x5.490%5.49%8.794%8.79%1-1.000000x-1.000000x1.541329x1.541329x1.54x10.148%10.1%15.642%15.6%2-1.000000x-1.000000x1.372139x1.372139x1.37x3.520%3.52%4.830%4.83%3-1.000000x-1.000000x1.316841x1.316841x1.32x9.241%9.24%12.169%12.2%4-1.000000x-1.000000x1.294039x1.294039x1.29x11.596%11.6%15.006%15.0%5-1.000000x-1.000000x1.262010x1.262010x1.26x15.673%15.7%19.780%19.8%6-1.000000x-1.000000x1.259401x1.259401x1.26x8.885%8.88%11.190%11.2%-1.000000x-1.000000x1.248955x1.248955x1.25x5.461%5.46%6.821%6.82%7-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.204737x1.204737x1.20x10.806%10.8%13.018%13.0%8-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%9-1.000000x-1.000000x1.181052x1.181052x1.18x20.931%20.9%24.720%24.7%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168789x1.168789x1.17x13.469%13.5%15.743%15.7%12-1.000000x-1.000000x1.164237x1.164237x1.16x19.784%19.8%23.034%23.0%13-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%14-1.000000x-1.000000x1.145379x1.145379x1.15x7.947%7.95%9.103%9.10%15-1.000000x-1.000000x1.143910x1.143910x1.14x18.203%18.2%20.822%20.8%16-1.000000x-1.000000x1.131549x1.131549x1.13x10.819%10.8%12.243%12.2%17-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123118x1.123118x1.12x6.617%6.62%7.432%7.43%18-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%19-1.000000x-1.000000x1.098718x1.098718x1.10x6.123%6.12%6.727%6.73%20-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%21-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%22-1.000000x-1.000000x1.086510x1.086510x1.09x11.871%11.9%12.898%12.9%-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%23-1.000000x-1.000000x1.077424x1.077424x1.08x15.427%15.4%16.621%16.6%24-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%25-1.000000x-1.000000x1.072818x1.072818x1.07x16.068%16.1%17.238%17.2%26-1.000000x-1.000000x1.069683x1.069683x1.07x16.346%16.3%17.486%17.5%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.061493x1.061493x1.06x38.904%38.9%41.296%41.3%29-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%30-1.000000x-1.000000x1.033283x1.033283x1.03x11.690%11.7%12.079%12.1%31-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%32-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%33-1.000000x-1.000000x1.006988x1.006988x1.01x4.218%4.22%4.247%4.25%34-1.000216x-1.000216x1.00x1.000000x1.000000x18.077%18.1%18.073%18.1%35-1.016910x-1.016910x1.02x1.000000x1.000000x31.709%31.7%31.182%31.2%36-1.033600x-1.033600x1.03x1.000000x1.000000x5.877%5.88%5.686%5.69%37-1.039395x-1.039395x1.04x1.000000x1.000000x10.093%10.1%9.710%9.71%38-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%39-1.092808x-1.092808x1.09x1.000000x1.000000x8.818%8.82%8.069%8.07%40-1.112325x-1.112325x1.11x1.000000x1.000000x6.278%6.28%5.644%5.64%41-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%42-1.167196x-1.167196x1.17x1.000000x1.000000x6.439%6.44%5.517%5.52%43-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%44-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%45-1.232317x-1.232317x1.23x1.000000x1.000000x1.576%1.58%1.279%1.28%46-1.318481x-1.318481x1.32x1.000000x1.000000x6.676%6.68%5.064%5.06%47-1.338170x-1.338170x1.34x1.000000x1.000000x4.105%4.10%3.067%3.07%48-1.368874x-1.368874x1.37x1.000000x1.000000x3.662%3.66%2.675%2.68%49-1.422071x-1.422071x1.42x1.000000x1.000000x3.439%3.44%2.419%2.42%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#37

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Bristol, selected other county subdivisions in the Chicago Area, and entities that contain Bristol
Female
Male
1x0x1x2x3xFM#BristolBristolOrlandNorthfieldNElginNew TrierDowners GrvVernonSt. JohnNilesLisleYork TownshipFrankfortMaineAvon TownshipBloomWheelingLyonsMiltonLeydenPalosEast North CentralEvanstonMidwestBloomingdaleWheatlandWisconsinAuroraKenoshaNapervilleUnited StatesChicago AreaPalatineSchaumburgPlainfieldWayneAddisonWarrenDundeeBremenChicagoKenoshaJolietHanoverWaukeganLockportWorthElk GrvDu PageProvisoRich TownshipAlgonquinBerwynCalumetOswegoCiceroThornton-1.000000x-1.000000x3.207303x3.207303x3.21x0.841%0.84%2.697%2.70%-1.000000x-1.000000x3.207303x3.207303x3.21x0.841%0.84%2.697%2.70%-1.000000x-1.000000x2.168832x2.168832x2.17x2.353%2.35%5.103%5.10%1-1.000000x-1.000000x2.130893x2.130893x2.13x6.892%6.89%14.686%14.7%2-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%3-1.000000x-1.000000x2.059619x2.059619x2.06x0.925%0.92%1.905%1.90%4-1.000000x-1.000000x1.852567x1.852567x1.85x13.689%13.7%25.360%25.4%5-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%6-1.000000x-1.000000x1.847396x1.847396x1.85x5.512%5.51%10.182%10.2%7-1.000000x-1.000000x1.837195x1.837195x1.84x1.827%1.83%3.357%3.36%8-1.000000x-1.000000x1.821878x1.821878x1.82x4.168%4.17%7.593%7.59%9-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.789153x1.789153x1.79x2.682%2.68%4.799%4.80%12-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%13-1.000000x-1.000000x1.784422x1.784422x1.78x1.662%1.66%2.965%2.96%14-1.000000x-1.000000x1.774387x1.774387x1.77x1.221%1.22%2.167%2.17%15-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%16-1.000000x-1.000000x1.707372x1.707372x1.71x3.605%3.60%6.154%6.15%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.688497x1.688497x1.69x1.056%1.06%1.784%1.78%19-1.000000x-1.000000x1.633427x1.633427x1.63x2.477%2.48%4.046%4.05%20-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.595092x1.595092x1.60x10.344%10.3%16.500%16.5%21-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%22-1.000000x-1.000000x1.580953x1.580953x1.58x4.824%4.82%7.627%7.63%23-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%24-1.000000x-1.000000x1.529626x1.529626x1.53x1.477%1.48%2.259%2.26%-1.000000x-1.000000x1.527866x1.527866x1.53x3.812%3.81%5.824%5.82%25-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.466259x1.466259x1.47x3.080%3.08%4.516%4.52%-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%26-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%27-1.000000x-1.000000x1.423252x1.423252x1.42x1.300%1.30%1.850%1.85%28-1.000000x-1.000000x1.420248x1.420248x1.42x1.956%1.96%2.778%2.78%29-1.000000x-1.000000x1.378989x1.378989x1.38x1.269%1.27%1.750%1.75%30-1.000000x-1.000000x1.364046x1.364046x1.36x3.500%3.50%4.774%4.77%31-1.000000x-1.000000x1.303912x1.303912x1.30x1.342%1.34%1.750%1.75%32-1.000000x-1.000000x1.261737x1.261737x1.26x1.515%1.52%1.912%1.91%33-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%34-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%35-1.000000x-1.000000x1.227910x1.227910x1.23x0.742%0.74%0.911%0.91%36-1.000000x-1.000000x1.201846x1.201846x1.20x1.772%1.77%2.129%2.13%37-1.000000x-1.000000x1.151981x1.151981x1.15x0.586%0.59%0.675%0.68%38-1.000000x-1.000000x1.141842x1.141842x1.14x1.048%1.05%1.196%1.20%39-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%40-1.000000x-1.000000x1.076314x1.076314x1.08x2.458%2.46%2.645%2.65%41-1.000000x-1.000000x1.056291x1.056291x1.06x2.785%2.78%2.942%2.94%42-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%43-1.000000x-1.000000x1.035849x1.035849x1.04x3.943%3.94%4.085%4.08%44-1.000000x-1.000000x1.032695x1.032695x1.03x2.312%2.31%2.388%2.39%45-1.023718x-1.023718x1.02x1.000000x1.000000x1.607%1.61%1.570%1.57%46-1.064408x-1.064408x1.06x1.000000x1.000000x0.839%0.84%0.788%0.79%47-1.202323x-1.202323x1.20x1.000000x1.000000x2.359%2.36%1.962%1.96%48-1.655047x-1.655047x1.66x1.000000x1.000000x0.272%0.27%0.165%0.16%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in Wisconsin

There are 1,927 county subdivisions in Wisconsin. This section compares Bristol to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with Bristol. The least populous of the compared county subdivisions has a population of 16,289.

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Bristol, selected other county subdivisions in Wisconsin, and entities that contain Bristol
0%5%10%15%Count#BeloitRacineMilwaukeeUnited States of AmericaUnited StatesGreen BayChicago, Naperville, and Elgin Metro AreaChicago AreaSheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisKenosha CountyKenoshaOshkoshBeaver DamSouth MilwaukeeS MilwaukeeMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsBristolBristolCaledoniaWest BendSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekGermantownOnalaskaMadisonMenomonee FallsNew BerlinOconomowocSun PrairieDe PereMuskegoWauwatosaBrookfieldMiddletonMequon18.491431%18.491431%18.5%4,197117.907441%17.907441%17.9%8,710217.485105%17.485105%17.5%63,80063.8k313.020590%13.020590%13.0%27,818,38027.8M12.535944%12.535944%12.5%8,414412.363193%12.363193%12.4%786,419786k11.643417%11.643417%11.6%3,806511.549265%11.549265%11.5%7,360611.206563%11.206563%11.2%2,609711.082337%11.082337%11.1%1,455810.776184%10.776184%10.8%2,885910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,3991010.003168%10.003168%10.0%11,05311.1k9.995428%9.995428%10.0%4,154119.950027%9.950027%10.0%1,115129.190270%9.190270%9.2%1,379138.829004%8.829004%8.8%1,091148.713948%8.713948%8.7%2,547158.662728%8.662728%8.7%1,613168.637220%8.637220%8.6%336,096336k8.522583%8.522583%8.5%3,704178.211921%8.211921%8.2%620188.204982%8.204982%8.2%2,296197.709924%7.709924%7.7%1,111207.618904%7.618904%7.6%3,034217.392323%7.392323%7.4%1,924227.158983%7.158983%7.2%3,393237.144208%7.144208%7.1%1,133247.116644%7.116644%7.1%2,075257.048284%7.048284%7.0%889266.815096%6.815096%6.8%2516.815096%6.815096%6.8%2516.746719%6.746719%6.7%1,208276.565400%6.565400%6.6%1,422286.289585%6.289585%6.3%1,142296.244351%6.244351%6.2%829306.168099%6.168099%6.2%739316.128290%6.128290%6.1%2,398326.111996%6.111996%6.1%883336.065319%6.065319%6.1%780346.042598%6.042598%6.0%1,149355.863324%5.863324%5.9%1,015365.765641%5.765641%5.8%1,421375.227570%5.227570%5.2%719384.888290%4.888290%4.9%617394.836248%4.836248%4.8%7,351404.484909%4.484909%4.5%1,165414.236891%4.236891%4.2%1,267423.988090%3.988090%4.0%442433.955766%3.955766%4.0%812443.911088%3.911088%3.9%600453.554446%3.554446%3.6%598463.390471%3.390471%3.4%1,167472.806979%2.806979%2.8%761482.731305%2.731305%2.7%351492.107701%2.107701%2.1%35550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Bristol, selected other county subdivisions in Wisconsin, and entities that contain Bristol
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocMenomonee FallsSun PrairieNew BerlinGermantownFranklinStevens PointDe PereChicago, Naperville, and Elgin Metro AreaChicago AreaWaukeshaOnalaskaMenomonieMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteOak CreekUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardEast North CentralWisconsinMarshfieldWest BendAshwaubenonWausauKenosha CountyKenoshaOshkoshGreen BayWest AllisBristolBristolFond du LacMilwaukeeKenoshaSuperiorJanesvilleCudahyManitowocSouth MilwaukeeS MilwaukeeSheboyganBeaver DamRacineBeloitWisconsin Rapids63.254765%63.254765%63.3%10,65410.7k158.898140%58.898140%58.9%7,569258.155142%58.155142%58.2%20,01720.0k358.053926%58.053926%58.1%15,73915.7k456.337583%56.337583%56.3%85,63285.6k546.358754%46.358754%46.4%8,632644.229902%44.229902%44.2%4,902741.080228%41.080228%41.1%10,67110.7k841.077605%41.077605%41.1%8,432940.780498%40.780498%40.8%12,19512.2k1039.610295%39.610295%39.6%5,4481137.841472%37.841472%37.8%9,8491236.471240%36.471240%36.5%5,2691336.151489%36.151489%36.2%5,5461436.061733%36.061733%36.1%2,293,8762.29M35.550164%35.550164%35.6%16,84916.8k1535.152908%35.152908%35.2%4,4371635.139073%35.139073%35.1%2,6531733.499762%33.499762%33.5%5,6361833.074254%33.074254%33.1%4,7661932.942347%32.942347%32.9%9,6052032.747831%32.747831%32.7%6,2272132.464907%32.464907%32.5%5,6202232.432916%32.432916%32.4%12,69112.7k2332.296218%32.296218%32.3%12,86112.9k2432.202535%32.202535%32.2%5,1072531.640023%31.640023%31.6%7,7982630.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0932728.919296%28.919296%28.9%5,1782828.909310%28.909310%28.9%3,8382928.794712%28.794712%28.8%3,7033028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.348305%28.348305%28.3%3,5033127.212706%27.212706%27.2%5,8943226.525332%26.525332%26.5%3,1783325.519199%25.519199%25.5%6,8323424.646364%24.646364%24.6%27,23327.2k24.478452%24.478452%24.5%10,17310.2k3524.139215%24.139215%24.1%16,20216.2k3623.980394%23.980394%24.0%10,51910.5k3723.784958%23.784958%23.8%87623.784958%23.784958%23.8%87623.606692%23.606692%23.6%6,9003823.517740%23.517740%23.5%85,81285.8k3922.927488%22.927488%22.9%14,61114.6k4022.415597%22.415597%22.4%4,0704122.035848%22.035848%22.0%9,5774221.471552%21.471552%21.5%2,8194321.017138%21.017138%21.0%4,8934420.519827%20.519827%20.5%3,0794519.530103%19.530103%19.5%6,3844618.623951%18.623951%18.6%2,0874717.525031%17.525031%17.5%8,5244816.605719%16.605719%16.6%3,7694915.880441%15.880441%15.9%2,00350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Bristol, selected other county subdivisions in Wisconsin, and entities that contain Bristol
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocChicago, Naperville, and Elgin Metro AreaChicago AreaNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieNeenahFranklinDe PereGermantownMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieBeaver DamWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWaukeshaMilwaukeeGreenfieldKenosha CountyKenoshaOak CreekBeloitGreen BayKenoshaBristolBristolWisconsin RapidsJanesvilleOshkoshSuperiorFond du LacHowardCudahyWest BendWest AllisRacineManitowocSouth MilwaukeeS MilwaukeeSheboyganAshwaubenon11.084724%11.084724%11.1%1,867110.022566%10.022566%10.0%1,28829.217661%9.217661%9.2%2,49939.171173%9.171173%9.2%13,94013.9k48.094131%8.094131%8.1%2,78657.196563%7.196563%7.2%1,34065.867120%5.867120%5.9%72574.993377%4.993377%5.0%37784.777583%4.777583%4.8%1,39394.679172%4.679172%4.7%676104.547615%4.547615%4.5%574114.222683%4.222683%4.2%468123.767884%3.767884%3.8%239,674240k3.762039%3.762039%3.8%1,125133.336158%3.336158%3.3%7,127,6737.13M3.295350%3.295350%3.3%856143.288352%3.288352%3.3%675153.188724%3.188724%3.2%552163.100626%3.100626%3.1%807173.083241%3.083241%3.1%473182.995492%2.995492%3.0%412192.893416%2.893416%2.9%1,311,0191.31M2.869921%2.869921%2.9%1,123202.855432%2.855432%2.9%896,039896k2.794937%2.794937%2.8%1,113212.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450222.637058%2.637058%2.6%380232.552204%2.552204%2.6%286242.416704%2.416704%2.4%647252.396116%2.396116%2.4%380262.356884%2.356884%2.4%422272.303445%2.303445%2.3%438282.244652%2.244652%2.2%298292.192214%2.192214%2.2%1,039302.043126%2.043126%2.0%7,455311.868992%1.868992%1.9%523321.856193%1.856193%1.9%2,0511.809624%1.809624%1.8%446331.784377%1.784377%1.8%405341.777440%1.777440%1.8%1,193351.762204%1.762204%1.8%1,123361.737714%1.737714%1.7%641.737714%1.737714%1.7%641.688734%1.688734%1.7%213371.555418%1.555418%1.6%676381.549604%1.549604%1.5%644391.525582%1.525582%1.5%277401.454035%1.454035%1.5%425411.384137%1.384137%1.4%178421.302460%1.302460%1.3%171431.292765%1.292765%1.3%280441.251567%1.251567%1.3%549451.155451%1.155451%1.2%562461.133972%1.133972%1.1%264470.893036%0.893036%0.9%134480.868820%0.868820%0.9%284490.784576%0.784576%0.8%9450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#41

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Bristol, selected other county subdivisions in Wisconsin, and entities that contain Bristol
Female
Male
1x0x1x2xFM#BristolBristolDe PereMenashaOshkoshFranklinCaledoniaManitowocGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorKenoshaStevens PointAppletonWisconsinRacineGrand ChuteGermantownMadisonMuskegoKenoshaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsChicago AreaMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-1.000000x-1.000000x2.936039x2.936039x2.94x3.521%3.52%10.337%10.3%-1.000000x-1.000000x2.936039x2.936039x2.94x3.521%3.52%10.337%10.3%-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%1-1.000000x-1.000000x1.888774x1.888774x1.89x4.337%4.34%8.192%8.19%2-1.000000x-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.534399x1.534399x1.53x5.333%5.33%8.182%8.18%5-1.000000x-1.000000x1.432549x1.432549x1.43x9.294%9.29%13.313%13.3%6-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%7-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%9-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%10-1.000000x-1.000000x1.294088x1.294088x1.29x7.468%7.47%9.664%9.66%11-1.000000x-1.000000x1.293422x1.293422x1.29x5.323%5.32%6.885%6.89%12-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%13-1.000000x-1.000000x1.259401x1.259401x1.26x8.885%8.88%11.190%11.2%-1.000000x-1.000000x1.229327x1.229327x1.23x5.499%5.50%6.760%6.76%14-1.000000x-1.000000x1.219351x1.219351x1.22x6.887%6.89%8.397%8.40%15-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.214505x1.214505x1.21x16.245%16.2%19.730%19.7%16-1.000000x-1.000000x1.207489x1.207489x1.21x6.484%6.48%7.830%7.83%17-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%18-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%19-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%20-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%21-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%22-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%23-1.000000x-1.000000x1.118245x1.118245x1.12x6.211%6.21%6.945%6.95%24-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%25-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.104897x1.104897x1.10x5.834%5.83%6.446%6.45%26-1.000000x-1.000000x1.104741x1.104741x1.10x6.724%6.72%7.428%7.43%27-1.000000x-1.000000x1.086510x1.086510x1.09x11.871%11.9%12.898%12.9%-1.000000x-1.000000x1.077248x1.077248x1.08x4.329%4.33%4.663%4.66%28-1.000000x-1.000000x1.069954x1.069954x1.07x17.920%17.9%19.173%19.2%29-1.000000x-1.000000x1.063348x1.063348x1.06x9.653%9.65%10.265%10.3%30-1.000000x-1.000000x1.059381x1.059381x1.06x6.918%6.92%7.329%7.33%31-1.000000x-1.000000x1.056613x1.056613x1.06x5.903%5.90%6.237%6.24%32-1.000000x-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%33-1.000000x-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%34-1.000000x-1.000000x1.022109x1.022109x1.02x2.704%2.70%2.764%2.76%35-1.000000x-1.000000x1.018058x1.018058x1.02x8.641%8.64%8.797%8.80%36-1.000000x-1.000000x1.015610x1.015610x1.02x8.765%8.76%8.902%8.90%37-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%38-1.000000x-1.000000x1.004509x1.004509x1.00x11.618%11.6%11.670%11.7%39-1.001253x-1.001253x1.00x1.000000x1.000000x5.867%5.87%5.859%5.86%40-1.016031x-1.016031x1.02x1.000000x1.000000x8.734%8.73%8.596%8.60%41-1.022158x-1.022158x1.02x1.000000x1.000000x3.997%4.00%3.910%3.91%42-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%43-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%44-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%45-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%46-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%47-1.237978x-1.237978x1.24x1.000000x1.000000x6.794%6.79%5.488%5.49%48-1.368790x-1.368790x1.37x1.000000x1.000000x9.414%9.41%6.877%6.88%49-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#42

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Bristol, selected other county subdivisions in Wisconsin, and entities that contain Bristol
Female
Male
1x0x1x2x3xFM#BristolBristolNeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauFitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinWest AllisWauwatosaWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaKenoshaUnited StatesSuperiorManitowocFranklinLa CrosseChicago AreaS MilwaukeeMiddletonMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaOconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-1.000000x-1.000000x3.207303x3.207303x3.21x0.841%0.84%2.697%2.70%-1.000000x-1.000000x3.207303x3.207303x3.21x0.841%0.84%2.697%2.70%-1.000000x-1.000000x3.129204x3.129204x3.13x1.585%1.59%4.960%4.96%1-1.000000x-1.000000x2.927208x2.927208x2.93x1.353%1.35%3.961%3.96%2-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%3-1.000000x-1.000000x2.628013x2.628013x2.63x2.819%2.82%7.408%7.41%4-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%5-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%6-1.000000x-1.000000x2.492011x2.492011x2.49x0.802%0.80%1.999%2.00%7-1.000000x-1.000000x2.351130x2.351130x2.35x3.588%3.59%8.437%8.44%8-1.000000x-1.000000x2.345235x2.345235x2.35x6.743%6.74%15.813%15.8%9-1.000000x-1.000000x2.320788x2.320788x2.32x0.952%0.95%2.209%2.21%10-1.000000x-1.000000x2.236989x2.236989x2.24x0.541%0.54%1.209%1.21%11-1.000000x-1.000000x2.147202x2.147202x2.15x0.747%0.75%1.604%1.60%12-1.000000x-1.000000x2.134058x2.134058x2.13x1.646%1.65%3.514%3.51%13-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%14-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%15-1.000000x-1.000000x2.005610x2.005610x2.01x1.223%1.22%2.453%2.45%16-1.000000x-1.000000x1.994529x1.994529x1.99x3.154%3.15%6.290%6.29%17-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%18-1.000000x-1.000000x1.808864x1.808864x1.81x5.081%5.08%9.190%9.19%19-1.000000x-1.000000x1.806537x1.806537x1.81x2.381%2.38%4.302%4.30%20-1.000000x-1.000000x1.786228x1.786228x1.79x2.083%2.08%3.720%3.72%21-1.000000x-1.000000x1.747870x1.747870x1.75x1.115%1.12%1.949%1.95%22-1.000000x-1.000000x1.733790x1.733790x1.73x2.062%2.06%3.574%3.57%23-1.000000x-1.000000x1.728996x1.728996x1.73x1.083%1.08%1.873%1.87%24-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%25-1.000000x-1.000000x1.693783x1.693783x1.69x0.936%0.94%1.585%1.59%26-1.000000x-1.000000x1.663311x1.663311x1.66x6.193%6.19%10.301%10.3%27-1.000000x-1.000000x1.632200x1.632200x1.63x0.991%0.99%1.617%1.62%28-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557391x1.557391x1.56x1.833%1.83%2.855%2.85%29-1.000000x-1.000000x1.550147x1.550147x1.55x1.851%1.85%2.870%2.87%30-1.000000x-1.000000x1.529626x1.529626x1.53x1.477%1.48%2.259%2.26%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.516809x1.516809x1.52x1.222%1.22%1.853%1.85%31-1.000000x-1.000000x1.494707x1.494707x1.49x0.918%0.92%1.372%1.37%32-1.000000x-1.000000x1.475485x1.475485x1.48x2.501%2.50%3.691%3.69%33-1.000000x-1.000000x1.473120x1.473120x1.47x3.888%3.89%5.727%5.73%34-1.000000x-1.000000x1.466259x1.466259x1.47x3.080%3.08%4.516%4.52%-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%35-1.000000x-1.000000x1.452651x1.452651x1.45x8.299%8.30%12.055%12.1%36-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%37-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%38-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%39-1.000000x-1.000000x1.363936x1.363936x1.36x2.638%2.64%3.598%3.60%40-1.000000x-1.000000x1.256412x1.256412x1.26x2.128%2.13%2.674%2.67%41-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%42-1.000000x-1.000000x1.211592x1.211592x1.21x2.722%2.72%3.299%3.30%43-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%44-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%45-1.000000x-1.000000x1.014900x1.014900x1.01x1.677%1.68%1.702%1.70%46-1.000000x-1.000000x1.008002x1.008002x1.01x2.236%2.24%2.254%2.25%47-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%48-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%49-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares Bristol to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Bristol. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Bristol, selected other county subdivisions in the Midwest, and entities that contain Bristol
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipChicago, Naperville, and Elgin Metro AreaChicago AreaOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceKenosha CountyKenoshaSioux FallsWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnBristolBristolWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.363193%12.363193%12.4%786,419786k12.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,1613310.003168%10.003168%10.0%11,05311.1k9.702326%9.702326%9.7%9,123348.637220%8.637220%8.6%336,096336k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.815096%6.815096%6.8%2516.815096%6.815096%6.8%2516.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Bristol, selected other county subdivisions in the Midwest, and entities that contain Bristol
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalChicago, Naperville, and Elgin Metro AreaChicago AreaColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralWisconsinSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthKenosha CountyKenoshaBristolBristolMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2136.061733%36.061733%36.1%2,293,8762.29M34.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3524.646364%24.646364%24.6%27,23327.2k23.784958%23.784958%23.8%87623.784958%23.784958%23.8%87623.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#45

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Bristol, selected other county subdivisions in the Midwest, and entities that contain Bristol
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMaineChicago, Naperville, and Elgin Metro AreaChicago AreaPalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandKenosha CountyKenoshaBristolBristolToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.767884%3.767884%3.8%239,674240k3.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.703886%2.703886%2.7%105,215105k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.856193%1.856193%1.9%2,0511.737714%1.737714%1.7%641.737714%1.737714%1.7%641.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#46

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Bristol, selected other county subdivisions in the Midwest, and entities that contain Bristol
Female
Male
1x0x1x2xFM#BristolBristolKenoshaCedar RapidsLincolnDetroitOmahaToledoWisconsinThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraChicago AreaWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x2.936039x2.936039x2.94x3.521%3.52%10.337%10.3%-1.000000x-1.000000x2.936039x2.936039x2.94x3.521%3.52%10.337%10.3%-1.000000x-1.000000x1.259401x1.259401x1.26x8.885%8.88%11.190%11.2%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.086510x1.086510x1.09x11.871%11.9%12.898%12.9%-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#47

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Bristol, selected other county subdivisions in the Midwest, and entities that contain Bristol
Female
Male
1x0x1x2x3xFM#BristolBristolRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraKenoshaUnited StatesAnn ArborTopekaSterling HtsChicago AreaPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x3.207303x3.207303x3.21x0.841%0.84%2.697%2.70%-1.000000x-1.000000x3.207303x3.207303x3.21x0.841%0.84%2.697%2.70%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.529626x1.529626x1.53x1.477%1.48%2.259%2.26%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.466259x1.466259x1.47x3.080%3.08%4.516%4.52%-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares Bristol to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Bristol. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#48

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Bristol, selected other county subdivisions in the United States, and entities that contain Bristol
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoChicago, Naperville, and Elgin Metro AreaChicago AreaTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonKenosha CountyKenoshaAtlantaSeattleWisconsinNortheast TarrantNE TarrantBristolBristolPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.363193%12.363193%12.4%786,419786k12.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k4510.003168%10.003168%10.0%11,05311.1k9.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.637220%8.637220%8.6%336,096336k8.418271%8.418271%8.4%31,44331.4k486.815096%6.815096%6.8%2516.815096%6.815096%6.8%2515.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#49

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Bristol, selected other county subdivisions in the United States, and entities that contain Bristol
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoChicago, Naperville, and Elgin Metro AreaChicago AreaColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…WisconsinSacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthKenosha CountyKenoshaBristolBristolSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1736.061733%36.061733%36.1%2,293,8762.29M34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.373439%28.373439%28.4%1,104,0821.10M28.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4124.646364%24.646364%24.6%27,23327.2k23.784958%23.784958%23.8%87623.784958%23.784958%23.8%87623.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#50

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Bristol, selected other county subdivisions in the United States, and entities that contain Bristol
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityChicago, Naperville, and Elgin Metro AreaChicago AreaHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeKenosha CountyKenoshaSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoBristolBristolSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.767884%3.767884%3.8%239,674240k3.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.703886%2.703886%2.7%105,215105k2.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.856193%1.856193%1.9%2,0511.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.737714%1.737714%1.7%641.737714%1.737714%1.7%641.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#51

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Bristol, selected other county subdivisions in the United States, and entities that contain Bristol
Female
Male
1x0x1x2xFM#BristolBristol1, CharlotteKenoshaDetroitWisconsinBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioChicago AreaSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x2.936039x2.936039x2.94x3.521%3.52%10.337%10.3%-1.000000x-1.000000x2.936039x2.936039x2.94x3.521%3.52%10.337%10.3%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.259401x1.259401x1.26x8.885%8.88%11.190%11.2%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.086510x1.086510x1.09x11.871%11.9%12.898%12.9%-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#52

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Bristol, selected other county subdivisions in the United States, and entities that contain Bristol
Female
Male
1x0x1x2x3xFM#BristolBristolEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlKenoshaSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaChicago AreaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x3.207303x3.207303x3.21x0.841%0.84%2.697%2.70%-1.000000x-1.000000x3.207303x3.207303x3.21x0.841%0.84%2.697%2.70%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529626x1.529626x1.53x1.477%1.48%2.259%2.26%-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.466259x1.466259x1.47x3.080%3.08%4.516%4.52%-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

Educational attainment is reported in terms of the highest level of education obtained by persons aged 25 years and older. On this page, we report on both detailed and coarse categorizations of the levels of education in the population. The detailed levels of educational attainment are as follows:

  • None: no formal education at all
  • Less than High School: some education, but stopped short of high school
  • Some High School: some high school education, but no high school diploma (or equivalent)
  • Some College: high school diploma (or equivalent), and some college, but no post-secondary degree
  • Associate's Degree: highest post-secondary degree is an associate's degree (including occupational or academic degrees)
  • Bachelor's Degree: highest post-secondary degree is a bachelor's degree (e.g., BA, BS, AB)
  • Master's Degree: highest post-secondary degree is a master's degree (e.g., MA, MS, MENG, MSW)
  • Professional Degree: highest post-secondary degree is a professional degree (e.g., MD, DDC, JD)
  • Doctorate Degree: highest post-secondary degree is a doctorate degree (e.g., PhD, EdD)

The coarse levels of educational attainment are as follows:

  • No High School Diploma: does not have a high school diploma or equivalent
  • High School Diploma: has a high school diploma or equivalent and possibly some college, but no post-secondary degrees
  • Higher Degree: has some post-secondary degree (associate's, bachelor's, master's, professional, doctorate)

For additional information about the data presented on this site, including our sources, please see the About Page.

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Wisconsin
County:
Kenosha
Metro Area:
Chicago Area
Village:
Bristol
ZIP Codes:
53104, 53142, 53158, 53168
Unified School District:
Kenosha
Elementary School Districts:
Bristol No. 1, Paris Joint No. 1, Salem
Secondary School District:
Westosha
Neighborhood:
River Crossing
Congressional District:
WI-1
State Senate District:
WI-21
Assembly District:
WI-61
Neighboring Towns:
Brighton, Paris, Salem
Neighboring Townships:
Antioch, Newport
Nearby Towns:
Randall, Somers
Nearby Townships:
Benton, Lake Villa, Warren, Zion