Educational Attainment in Kenosha, Kenosha County, Wisconsin (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Kenosha County and Kenosha
Kenosha
Kenosha County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma233.302996%34.791620%33.302996%33.3%21,22321.2k55.147740%55.205213%55.147740%55.1%35,14435.1k11.549265%10.003168%11.549265%11.5%7,360
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 Kenosha
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-4.278685%-4.278685%-4.3%33.303%33.3%34.792%34.8%-0.104109%-0.104109%-0.1%55.148%55.1%55.205%55.2%15.456077%15.456077%+15.5%11.549%11.5%10.003%10.0%
% percentage with given level in Kenosha
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 Kenosha
Kenosha
Kenosha County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.753213%0.843477%0.753213%0.8%4801.008991%1.012716%1.008991%1.0%6436.049241%6.631069%6.049241%6.0%3,85515.116042%16.159102%15.116042%15.1%9,63310.375508%10.145255%10.375508%10.4%6,61222.770568%22.882483%22.770568%22.8%14,51114.5k32.377171%32.322730%32.377171%32.4%20,63320.6k7.725140%6.883569%7.725140%7.7%4,9232.595446%2.060727%2.595446%2.6%1,6541.228679%1.058871%1.228679%1.2%783
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 Kenosha
-20%0%+20%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-10.701436%-10.701436%-10.7%0.753%0.75%0.843%0.84%-0.367727%-0.367727%-0.4%1.009%1.01%1.013%1.01%-8.774271%-8.774271%-8.8%6.049%6.05%6.631%6.63%-6.454940%-6.454940%-6.5%15.116%15.1%16.159%16.2%2.269559%2.269559%+2.3%10.376%10.4%10.145%10.1%-0.489087%-0.489087%-0.5%22.771%22.8%22.882%22.9%0.168432%0.168432%+0.2%32.377%32.4%32.323%32.3%12.225789%12.225789%+12.2%7.725%7.73%6.884%6.88%25.948102%25.948102%+25.9%2.595%2.60%2.061%2.06%16.036615%16.036615%+16.0%1.229%1.23%1.059%1.06%
% percentage with given level in Kenosha
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 Kenosha
More Females More Males
Kenosha County
Kenosha
10%0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-9.629863%-11.359149%-9.629863%10%34.760%34.8%31.707%31.7%2.597069%2.621339%2.597069%3%54.473%54.5%55.887%55.9%15.218694%25.940122%15.218694%15%10.767%10.8%12.406%12.4%
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 Kenosha
More Females More Males
Kenosha County
Kenosha
20%0%20%40%60%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None7.728127%32.754699%7.728127%8%0.726%0.73%0.783%0.78%35.873768%72.601323%35.873768%36%0.861%0.86%1.171%1.17%-15.482707%-34.566444%-15.482707%15%6.463%6.46%5.596%5.60%-0.929985%-3.683429%-0.929985%1%15.183%15.2%15.043%15.0%-26.465038%-21.767169%-26.465038%26%11.527%11.5%9.115%9.11%-11.422278%-8.369811%-11.422278%11%23.942%23.9%21.488%21.5%12.672669%10.622003%12.672669%13%30.531%30.5%34.400%34.4%19.348812%28.903436%19.348812%19%7.072%7.07%8.440%8.44%18.643915%25.309230%18.643915%19%2.383%2.38%2.828%2.83%-15.302260%-15.302260%15%9.416910%1.312%1.31%1.138%1.14%
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 Kenosha
Kenosha
Kenosha County
0%5%10%15%20%B.X.Total65+45-6435-4425-349.236609%10.713773%9.236609%9.2%1,09511,85511.9k13.666466%15.065474%13.666466%13.7%3,40524,91524.9k16.863571%18.091194%16.863571%16.9%2,24113,28913.3k21.158911%21.975064%21.158911%21.2%2,89213,66813.7k
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 Kenosha
12%10%8%6%4%2%0%%ref.65+45-6435-4425-34-13.787527%-13.787527%13.8%9.237%9.24%10.714%10.7%-9.286187%-9.286187%9.3%13.666%13.7%15.065%15.1%-6.785749%-6.785749%6.8%16.864%16.9%18.091%18.1%-3.713993%-3.713993%3.7%21.159%21.2%21.975%22.0%
% percentage in Kenosha 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 Kenosha
More Females More Males
Kenosha County
Kenosha
30%20%10%0%10%20%FM65+45-6435-4425-3418.607337%22.274620%18.607337%18.6%8.578%8.58%10.174%10.2%15.762367%9.375659%15.762367%15.8%12.686%12.7%14.686%14.7%-8.816792%-21.125376%-8.816792%8.8%17.568%17.6%16.145%16.1%-32.519192%-31.698226%-32.519192%32.5%24.064%24.1%18.159%18.2%
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 Kenosha
Kenosha
Kenosha County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$66,779.000000$66,044.000000$66,779.000000$66.8k4,9787.811%7.81%$47,228.000000$49,737.000000$47,228.000000$47.2k9,63315.116%15.1%$31,855.000000$35,436.000000$31,855.000000$31.9k21,12321.1k33.146%33.1%$26,864.000000$30,138.000000$26,864.000000$26.9k20,63320.6k32.377%32.4%$19,884.000000$21,380.000000$19,884.000000$19.9k7,36011.549%11.5%$33,728.000000$36,879.000000$33,728.000000$33.7k63,72763.7k100.000%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 Kenosha
Female Male
Kenosha County
Kenosha
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-66,043.000000$-61,110.000000$-66,043.000000$66.0k$66,043.000000$2,863.000000$61,110.000000$12,624.000000$68,906.000000$68.9k2,6822,296$-42,481.000000$-42,927.000000$-42,481.000000$42.5k$42,481.000000$15,152.000000$42,927.000000$18,121.000000$57,633.000000$57.6k5,0584,575$-26,821.000000$-28,441.000000$-26,821.000000$26.8k$26,821.000000$13,794.000000$28,441.000000$16,837.000000$40,615.000000$40.6k11,81611.8k9,307$-21,584.000000$-22,971.000000$-21,584.000000$21.6k$21,584.000000$10,226.000000$22,971.000000$12,486.000000$31,810.000000$31.8k10,17110.2k10,46210.5k$-17,362.000000$-17,213.000000$-17,362.000000$17.4k$17,362.000000$3,960.000000$17,213.000000$6,057.000000$21,322.000000$21.3k3,5873,773$-28,134.000000$-30,567.000000$-28,134.000000$28.1k$28,134.000000$12,698.000000$30,567.000000$12,917.000000$40,832.000000$40.8k33,31433.3k30,41330.4k
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

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Kenosha County and Kenosha
Kenosha
Kenosha County
0%10%20%30%40%50%60%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma324.581006%18.106996%24.581006%24.6%4457.541899%62.962963%57.541899%57.5%10317.877095%18.930041%17.877095%17.9%320.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

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 Kenosha
Kenosha
Kenosha County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma385.089293%83.748627%85.089293%85.1%10,91110.9k73.432606%74.678712%73.432606%73.4%13,36413.4k68.248845%70.646840%68.248845%68.2%10,78410.8k48.405625%53.291909%48.405625%48.4%2,444
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#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Kenosha County and Kenosha
Female Male
Kenosha County
Kenosha
Shaded bar tips show excess over facing bar.
20%10%0%10%20%30%MFWhite1BlackAsianHispanic2Other1-7.223414%-6.356645%-7.223414%7.2%7.223414%1.596419%6.356645%2.184191%8.819833%8.8%2,0351,819-15.763052%-14.469651%-15.763052%15.8%15.763052%0.467513%14.469651%2.798898%16.230565%16.2%428471-13.881020%-4.195265%-9.943978%-3.174085%-18.076285%18.1%13.881020%9.943978%13.881020%13.9%49109-28.707549%-28.052412%-28.707549%28.7%28.707549%2.134268%28.052412%3.073801%30.841818%30.8%1,2421,175-20.000000%-3.996350%-18.048780%-7.219316%-23.996350%24.0%20.000000%18.048780%20.000000%20.0%208263
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Kenosha County and Kenosha
Female Male
Kenosha County
Kenosha
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-25.704869%-25.887360%-1.168857%-25.704869%25.7%25.704869%0.178198%25.887360%25.883067%25.9%5,9726,473-12.784471%-14.773473%-0.523890%-12.784471%12.8%12.784471%1.436234%14.773473%14.220705%14.2%375382-42.122720%-43.188698%-42.122720%42.1%42.122720%9.435354%43.188698%4.150237%51.558074%51.6%182254-7.126893%-4.233967%-7.980583%-4.884218%-11.360860%11.4%7.126893%7.980583%7.126893%7.1%287465-5.288462%-11.317378%-9.337979%-11.037356%-16.605839%16.6%5.288462%9.337979%5.288462%5.3%55182
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Neighborhood in Kenosha

Coarse: Post-Secondary Degree Educational Attainment by Neighborhood#16

Percentage of the population 25 years and older with given highest level of educational attainment
16%24%31%39%46%54%

Coarse: High School Diploma Educational Attainment by Neighborhood#17

Percentage of the population 25 years and older with given highest level of educational attainment
42.3%47.0%51.7%56.5%61.2%65.9%

Coarse: No High School Diploma Educational Attainment by Neighborhood#18

Percentage of the population 25 years and older with given highest level of educational attainment
4.3%8.9%13.4%18.0%22.6%27.2%

Detailed: Doctorate Degree Educational Attainment by Neighborhood#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.6%1.1%1.7%2.2%2.8%

Detailed: Professional Degree Educational Attainment by Neighborhood#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.7%1.5%2.2%3.0%3.8%

Detailed: Master's Degree Educational Attainment by Neighborhood#21

Percentage of the population 25 years and older with given highest level of educational attainment
1.5%3.5%5.4%7.3%9.2%11.2%

Detailed: Bachelor's Degree Educational Attainment by Neighborhood#22

Percentage of the population 25 years and older with given highest level of educational attainment
5.3%9.2%13.2%17.1%21.0%24.9%

Detailed: Associate's Degree Educational Attainment by Neighborhood#23

Percentage of the population 25 years and older with given highest level of educational attainment
5.7%7.7%9.6%11.6%13.5%15.5%

Detailed: Some College Educational Attainment by Neighborhood#24

Percentage of the population 25 years and older with given highest level of educational attainment
18.6%21.2%23.7%26.3%28.8%31.4%

Detailed: High School Diploma or Equivalent Educational Attainment by Neighborhood#25

Percentage of the population 25 years and older with given highest level of educational attainment
20.9%24.9%28.9%32.8%36.8%40.8%

Detailed: Some High School Educational Attainment by Neighborhood#26

Percentage of the population 25 years and older with given highest level of educational attainment
2.4%5.4%8.3%11.2%14.1%17.1%

Detailed: Less than High School Educational Attainment by Neighborhood#27

Percentage of the population 25 years and older with given highest level of educational attainment
1.0%2.3%3.6%4.9%6.1%7.4%

Detailed: None Educational Attainment by Neighborhood#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.2%1.0%1.7%2.4%3.2%4.0%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Kenosha

Coarse: Post-Secondary Degree Educational Attainment by Tract#29

Percentage of the population 25 years and older with given highest level of educational attainment
14%22%30%38%46%54%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
42.3%47.3%52.3%57.3%62.3%67.3%

Coarse: No High School Diploma Educational Attainment by Tract#31

Percentage of the population 25 years and older with given highest level of educational attainment
3%9%15%20%26%32%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.7%1.5%2.2%3.0%3.8%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.0%1.9%2.9%3.9%4.9%

Detailed: Master's Degree Educational Attainment by Tract#34

Percentage of the population 25 years and older with given highest level of educational attainment
1.3%4.1%6.8%9.5%12.3%15.1%

Detailed: Bachelor's Degree Educational Attainment by Tract#35

Percentage of the population 25 years and older with given highest level of educational attainment
4.7%8.7%12.8%16.8%20.8%24.9%

Detailed: Associate's Degree Educational Attainment by Tract#36

Percentage of the population 25 years and older with given highest level of educational attainment
5.7%7.8%9.9%12.0%14.0%16.2%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
17.8%20.8%23.7%26.6%29.5%32.4%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#38

Percentage of the population 25 years and older with given highest level of educational attainment
20%26%31%37%42%48%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
1.6%5.1%8.5%11.9%15.4%18.9%

Detailed: Less than High School Educational Attainment by Tract#40

Percentage of the population 25 years and older with given highest level of educational attainment
0.3%2.0%3.6%5.3%6.9%8.6%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.0%2.0%3.0%4.1%5.1%
Road Data ©OpenStreetMap

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Educational Attainment by Neighborhood in Kenosha

There are 26 neighborhoods that are fully or partially contained within Kenosha (12 fully and 14 partially). This section compares all 26 of those to each other, Kenosha, and other entities that contain or substantially overlap with Kenosha.

No H.S. Diploma by Neighborhood#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Kenosha, selected neighborhoods in Kenosha, and entities that contain Kenosha
0%10%20%Count#Uptown NeighborhoodUptownColumbus NeighborhoodColumbusWilson NeighborhoodWilsonMcKinley NeighborhoodMcKinleyLincoln Park NeighborhoodLincoln ParkCarthage NeighborhoodCarthageHarbor Side NeighborhoodHarbor SideAlford Park NeighborhoodAlford ParkVilla Capri NeighborhoodVilla CapriRed Arrow NeighborhoodRed ArrowSt. Joe's NeighborhoodSt. Joe'sUnited States of AmericaUnited StatesChicago, Naperville, and Elgin Metro AreaChicago AreaCentral Business District NeighborhoodCntrl Business DistKenoshaKenoshaStocker NeighborhoodStockerForest Park NeighborhoodForest ParkEast North CentralMidwestKenosha CountyKenoshaLance NeighborhoodLanceIsetts NeighborhoodIsettsPoerio NeighborhoodPoerioAllendale NeighborhoodAllendaleWisconsinSouthport NeighborhoodSouthportBain Park NeighborhoodBain ParkParkside NeighborhoodParksideGrant NeighborhoodGrantRoosevelt NeighborhoodRooseveltSunnywside NeighborhoodSunnywsideRiver Crossing NeighborhoodRiv CrossingWhite Caps NeighborhoodWhite Caps27.106622%27.106622%27.1%162163126.546693%26.546693%26.5%680681219.166376%19.166376%19.2%384385318.641218%18.641218%18.6%547548416.162730%16.162730%16.2%241242514.386274%14.386274%14.4%95714.386274%14.386274%14.4%214614.386274%14.386274%14.4%89813.914551%13.914551%13.9%312313913.813986%13.813986%13.8%4171013.178318%13.178318%13.2%1911113.020590%13.020590%13.0%27,818,38027.8M12.363193%12.363193%12.4%786,419786k11.969234%11.969234%12.0%2092101211.549265%11.549265%11.5%7,36011.549265%11.549265%11.5%7,36011.458556%11.458556%11.5%2341310.765480%10.765480%10.8%3731410.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.003168%10.003168%10.0%11,05311.1k9.215263%9.215263%9.2%241158.710058%8.710058%8.7%196168.704367%8.704367%8.7%128129178.692487%8.692487%8.7%153154188.637220%8.637220%8.6%336,096336k8.553157%8.553157%8.6%5354198.476333%8.476333%8.5%65208.438018%8.438018%8.4%223224217.823552%7.823552%7.8%201202227.372652%7.372652%7.4%152153236.019140%6.019140%6.0%249250244.336084%4.336084%4.3%5051254.327106%4.327106%4.3%11626
Count number of people in category
# rank of neighborhood out of 26 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Neighborhood#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Kenosha, selected neighborhoods in Kenosha, and entities that contain Kenosha
0%10%20%30%Count#White Caps NeighborhoodWhite CapsRiver Crossing NeighborhoodRiv CrossingChicago, Naperville, and Elgin Metro AreaChicago AreaStocker NeighborhoodStockerParkside NeighborhoodParksideAllendale NeighborhoodAllendaleForest Park NeighborhoodForest ParkUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinSouthport NeighborhoodSouthportPoerio NeighborhoodPoerioLance NeighborhoodLanceKenosha CountyKenoshaCentral Business District NeighborhoodCntrl Business DistKenoshaKenoshaIsetts NeighborhoodIsettsGrant NeighborhoodGrantSunnywside NeighborhoodSunnywsideCarthage NeighborhoodCarthageAlford Park NeighborhoodAlford ParkHarbor Side NeighborhoodHarbor SideRoosevelt NeighborhoodRooseveltVilla Capri NeighborhoodVilla CapriBain Park NeighborhoodBain ParkRed Arrow NeighborhoodRed ArrowSt. Joe's NeighborhoodSt. Joe'sMcKinley NeighborhoodMcKinleyLincoln Park NeighborhoodLincoln ParkWilson NeighborhoodWilsonColumbus NeighborhoodColumbusUptown NeighborhoodUptown37.876477%37.876477%37.9%1,017137.870841%37.870841%37.9%443444236.061733%36.061733%36.1%2,293,8762.29M33.197687%33.197687%33.2%679332.761468%32.761468%32.8%869431.857392%31.857392%31.9%563530.776681%30.776681%30.8%1,0661,067630.315023%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%1,104,0821.10M28.351537%28.351537%28.4%178179726.614826%26.614826%26.6%393394825.934396%25.934396%25.9%679924.646364%24.646364%24.6%27,23327.2k23.179363%23.179363%23.2%4061022.927488%22.927488%22.9%14,61114.6k22.927488%22.927488%22.9%14,61114.6k22.829953%22.829953%22.8%5135141122.344043%22.344043%22.3%5761221.919098%21.919098%21.9%9101318.389793%18.389793%18.4%1221618.389793%18.389793%18.4%10111418.389793%18.389793%18.4%2732741517.995186%17.995186%18.0%3731717.623327%17.623327%17.6%3953961816.561036%16.561036%16.6%1271915.770143%15.770143%15.8%4762014.151149%14.151149%14.2%2052062112.617351%12.617351%12.6%3703712211.731766%11.731766%11.7%1751762311.099311%11.099311%11.1%222223248.453841%8.453841%8.5%216217257.718139%7.718139%7.7%4626
Count number of people in category
# rank of neighborhood out of 26 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Neighborhood#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Kenosha, selected neighborhoods in Kenosha, and entities that contain Kenosha
0%1%2%3%4%5%Count#Allendale NeighborhoodAllendaleSouthport NeighborhoodSouthportLance NeighborhoodLancePoerio NeighborhoodPoerioIsetts NeighborhoodIsettsChicago, Naperville, and Elgin Metro AreaChicago AreaUnited States of AmericaUnited StatesParkside NeighborhoodParksideMidwestEast North CentralVilla Capri NeighborhoodVilla CapriWisconsinCentral Business District NeighborhoodCntrl Business DistWhite Caps NeighborhoodWhite CapsRiver Crossing NeighborhoodRiv CrossingStocker NeighborhoodStockerKenosha CountyKenoshaKenoshaKenoshaGrant NeighborhoodGrantForest Park NeighborhoodForest ParkSunnywside NeighborhoodSunnywsideAlford Park NeighborhoodAlford ParkCarthage NeighborhoodCarthageHarbor Side NeighborhoodHarbor SideSt. Joe's NeighborhoodSt. Joe'sBain Park NeighborhoodBain ParkColumbus NeighborhoodColumbusRed Arrow NeighborhoodRed ArrowUptown NeighborhoodUptownLincoln Park NeighborhoodLincoln ParkWilson NeighborhoodWilsonMcKinley NeighborhoodMcKinleyRoosevelt NeighborhoodRoosevelt5.193343%5.193343%5.2%919214.267485%4.267485%4.3%262724.108054%4.108054%4.1%10710834.051354%4.051354%4.1%596043.780573%3.780573%3.8%8553.767884%3.767884%3.8%239,674240k3.336158%3.336158%3.3%7,127,6737.13M3.096225%3.096225%3.1%8262.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.760909%2.760909%2.8%6272.703886%2.703886%2.7%105,215105k2.366990%2.366990%2.4%4182.306519%2.306519%2.3%616292.305688%2.305688%2.3%27101.884772%1.884772%1.9%3839111.856193%1.856193%1.9%2,0511.762204%1.762204%1.8%1,1231.762204%1.762204%1.8%1,1231.632244%1.632244%1.6%42121.602853%1.602853%1.6%5556131.554887%1.554887%1.6%6465141.143863%1.143863%1.1%01151.143863%1.143863%1.1%78171.143863%1.143863%1.1%17161.090288%1.090288%1.1%1516181.081502%1.081502%1.1%8191.031811%1.031811%1.0%26201.025953%1.025953%1.0%3031210.853628%0.853628%0.9%5220.696899%0.696899%0.7%10230.427064%0.427064%0.4%89240.173948%0.173948%0.2%5250.147914%0.147914%0.1%326
Count number of people in category
# rank of neighborhood out of 26 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#45

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 Kenosha, selected neighborhoods in Kenosha, and entities that contain Kenosha
Female
Male
1x0x1x2xFM#StockerRed ArrowGrantCntrl Business DistForest ParkMcKinleyBain ParkLincoln ParkSunnywsideKenoshaSt. Joe'sWisconsinUptownColumbusKenoshaKenoshaSouthportMidwestEast North CentralUnited StatesAllendaleChicago AreaAlford ParkHarbor SideCarthageWilsonRiv CrossingWhite CapsPoerioParksideRooseveltLanceVilla CapriIsetts-1.000000x-1.000000x2.717263x2.717263x2.72x6.356%6.36%17.270%17.3%1-1.000000x-1.000000x2.370593x2.370593x2.37x8.328%8.33%19.743%19.7%2-1.000000x-1.000000x2.316723x2.316723x2.32x4.801%4.80%11.122%11.1%3-1.000000x-1.000000x2.283802x2.283802x2.28x7.080%7.08%16.170%16.2%4-1.000000x-1.000000x2.282887x2.282887x2.28x6.713%6.71%15.326%15.3%5-1.000000x-1.000000x1.535064x1.535064x1.54x14.807%14.8%22.730%22.7%6-1.000000x-1.000000x1.514677x1.514677x1.51x6.765%6.77%10.247%10.2%7-1.000000x-1.000000x1.357216x1.357216x1.36x13.716%13.7%18.616%18.6%8-1.000000x-1.000000x1.302486x1.302486x1.30x5.243%5.24%6.829%6.83%9-1.000000x-1.000000x1.259401x1.259401x1.26x8.885%8.88%11.190%11.2%-1.000000x-1.000000x1.256121x1.256121x1.26x11.751%11.8%14.761%14.8%10-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.181985x1.181985x1.18x24.801%24.8%29.314%29.3%11-1.000000x-1.000000x1.181462x1.181462x1.18x24.393%24.4%28.819%28.8%12-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%-1.000000x-1.000000x1.149759x1.149759x1.15x7.947%7.95%9.137%9.14%13-1.000000x-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-1.000000x1.086982x1.086982x1.09x8.320%8.32%9.043%9.04%14-1.000000x-1.000000x1.086510x1.086510x1.09x11.871%11.9%12.898%12.9%-1.000000x-1.000000x1.038212x1.038212x1.04x14.130%14.1%14.670%14.7%17-1.000000x-1.000000x1.038212x1.038212x1.04x14.130%14.1%14.670%14.7%15-1.000000x-1.000000x1.038212x1.038212x1.04x14.130%14.1%14.670%14.7%16-1.061979x-1.061979x1.06x1.000000x1.000000x19.719%19.7%18.568%18.6%18-1.174250x-1.174250x1.17x1.000000x1.000000x4.679%4.68%3.985%3.98%19-1.176657x-1.176657x1.18x1.000000x1.000000x4.674%4.67%3.972%3.97%20-1.270531x-1.270531x1.27x1.000000x1.000000x9.660%9.66%7.603%7.60%21-1.295007x-1.295007x1.30x1.000000x1.000000x9.429%9.43%7.281%7.28%22-1.463021x-1.463021x1.46x1.000000x1.000000x8.697%8.70%5.945%5.94%23-1.521158x-1.521158x1.52x1.000000x1.000000x10.923%10.9%7.181%7.18%24-1.776051x-1.776051x1.78x1.000000x1.000000x17.570%17.6%9.893%9.89%25-1.914286x-1.914286x1.91x1.000000x1.000000x11.078%11.1%5.787%5.79%26
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 26 by male-to-female sex ratio

Over-Education Sex Ratio by Neighborhood#46

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 Kenosha, selected neighborhoods in Kenosha, and entities that contain Kenosha
Female
Male
10x5x0x5x10xFM#Lincoln ParkSt. Joe'sRooseveltRed ArrowLanceAllendaleSouthportIsettsCntrl Business DistEast North CentralMidwestWisconsinKenoshaUnited StatesGrantChicago AreaColumbusVilla CapriKenoshaKenoshaUptownCarthageAlford ParkHarbor SideBain ParkPoerioParksideSunnywsideForest ParkStockerRiv CrossingWhite CapsMcKinleyWilson-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.396%1.40%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.300%2.30%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.015%0.01%0.291%0.29%3-1.000000x-1.000000x4.154864x4.154864x4.15x0.408%0.41%1.694%1.69%4-1.000000x-1.000000x2.814325x2.814325x2.81x2.248%2.25%6.325%6.33%5-1.000000x-1.000000x2.163869x2.163869x2.16x3.247%3.25%7.026%7.03%6-1.000000x-1.000000x2.059630x2.059630x2.06x2.771%2.77%5.708%5.71%7-1.000000x-1.000000x2.051835x2.051835x2.05x2.571%2.57%5.275%5.27%8-1.000000x-1.000000x1.799046x1.799046x1.80x1.655%1.66%2.978%2.98%9-1.000000x-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-1.000000x1.487126x1.487126x1.49x1.324%1.32%1.969%1.97%10-1.000000x-1.000000x1.466259x1.466259x1.47x3.080%3.08%4.516%4.52%-1.000000x-1.000000x1.453570x1.453570x1.45x0.845%0.85%1.229%1.23%11-1.000000x-1.000000x1.393380x1.393380x1.39x2.325%2.33%3.240%3.24%12-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%-1.000000x-1.000000x1.178430x1.178430x1.18x0.782%0.78%0.922%0.92%13-1.000000x-1.000000x1.110492x1.110492x1.11x1.087%1.09%1.207%1.21%14-1.000000x-1.000000x1.110492x1.110492x1.11x1.087%1.09%1.207%1.21%15-1.000000x-1.000000x1.110492x1.110492x1.11x1.087%1.09%1.207%1.21%16-1.000000x-1.000000x1.005452x1.005452x1.01x1.079%1.08%1.084%1.08%17-1.031974x-1.031974x1.03x1.000000x1.000000x4.111%4.11%3.983%3.98%18-1.095428x-1.095428x1.10x1.000000x1.000000x3.226%3.23%2.945%2.94%19-1.187607x-1.187607x1.19x1.000000x1.000000x1.685%1.69%1.419%1.42%20-1.730945x-1.730945x1.73x1.000000x1.000000x2.000%2.00%1.156%1.16%21-1.786515x-1.786515x1.79x1.000000x1.000000x2.373%2.37%1.328%1.33%22-2.594659x-2.594659x2.59x1.000000x1.000000x3.312%3.31%1.276%1.28%23-2.606358x-2.606358x2.61x1.000000x1.000000x3.317%3.32%1.273%1.27%24-4.866955x-4.866955x4.87x1.000000x1.000000x0.283%0.28%0.058%0.06%25-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.822%0.82%0.000%0%26
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 26 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 Kenosha to the 50 most populous county subdivisions in the Chicago Area and to those entities that contain or substantially overlap with Kenosha. The least populous of the compared county subdivisions has a population of 54,390.

No H.S. Diploma by County Subdivision#47

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Kenosha, selected other county subdivisions in the Chicago Area, and entities that contain Kenosha
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 TownshipLyonsKenoshaKenoshaElk Grove TownshipElk GrvMaine TownshipMaineEast North CentralWorth TownshipWorthBremen TownshipBremenMidwestKenosha CountyKenoshaNiles TownshipNilesWisconsinPalos TownshipPalosWayne TownshipWayneWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgPlainfield TownshipPlainfieldWarren TownshipWarrenOswego 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%7,36011.549265%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%2,900346.412564%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#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Kenosha, selected other county subdivisions in the Chicago Area, and entities that contain Kenosha
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 CountyKenoshaBremen TownshipBremenKenoshaKenoshaLockport 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%27,23327.2k22.955021%22.955021%23.0%17,02017.0k3822.927488%22.927488%22.9%14,61114.6k22.927488%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#49

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Kenosha, selected other county subdivisions in the Chicago Area, and entities that contain Kenosha
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 CountyKenoshaKenoshaKenoshaBremen 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%1,1231.762204%1.762204%1.8%1,123341.700722%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#50

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 Kenosha, selected other county subdivisions in the Chicago Area, and entities that contain Kenosha
Female
Male
1x0x1xFM#PlainfieldLockportNapervilleBremenBloomAvon TownshipKenoshaRich TownshipWisconsinDu PageThorntonJolietProvisoCalumetBerwynKenoshaKenoshaPalosElginElk GrvMidwestEast North CentralWarrenUnited StatesWorthOswegoNAuroraChicago AreaWheelingHanoverSchaumburgLeydenAddisonChicagoCiceroPalatineLyonsYork TownshipBloomingdaleFrankfortDundeeWaukeganAlgonquinNilesLisleWayneSt. JohnDowners GrvEvanstonMiltonMaineNew TrierOrlandNorthfieldVernonWheatland-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%-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#51

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 Kenosha, selected other county subdivisions in the Chicago Area, and entities that contain Kenosha
Female
Male
1x0x1x2xFM#OrlandNorthfieldNElginNew TrierDowners GrvVernonSt. JohnNilesLisleYork TownshipFrankfortMaineAvon TownshipBloomWheelingLyonsMiltonLeydenPalosEast North CentralEvanstonMidwestBloomingdaleWheatlandWisconsinAuroraKenoshaNapervilleUnited StatesChicago AreaPalatineSchaumburgPlainfieldWayneAddisonWarrenDundeeBremenChicagoKenoshaKenoshaJolietHanoverWaukeganLockportWorthElk GrvDu PageProvisoRich TownshipAlgonquinBerwynCalumetOswegoCiceroThornton-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%-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 Kenosha to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with Kenosha. The least populous of the compared county subdivisions has a population of 16,289.

No H.S. Diploma by County Subdivision#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Kenosha, selected other county subdivisions in Wisconsin, and entities that contain Kenosha
0%5%10%15%Count#BeloitRacineMilwaukeeUnited States of AmericaUnited StatesGreen BayChicago, Naperville, and Elgin Metro AreaChicago AreaSheboyganKenoshaKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisKenosha CountyKenoshaOshkoshBeaver DamSouth MilwaukeeS MilwaukeeMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaWest 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%7,36011.549265%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%889266.746719%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#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Kenosha, selected other county subdivisions in Wisconsin, and entities that contain Kenosha
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 AllisFond du LacMilwaukeeKenoshaKenoshaSuperiorJanesvilleCudahyManitowocSouth 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%10,51910.5k3723.606692%23.606692%23.6%6,9003823.517740%23.517740%23.5%85,81285.8k3922.927488%22.927488%22.9%14,61114.6k22.927488%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#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Kenosha, selected other county subdivisions in Wisconsin, and entities that contain Kenosha
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 BayKenoshaKenoshaWisconsin 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%1,1231.762204%1.762204%1.8%1,123361.688734%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#55

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 Kenosha, selected other county subdivisions in Wisconsin, and entities that contain Kenosha
Female
Male
1x0x1x2xFM#De PereMenashaOshkoshFranklinCaledoniaManitowocGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorKenoshaStevens PointAppletonWisconsinRacineGrand ChuteGermantownMadisonMuskegoKenoshaKenoshaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsChicago AreaMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-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%-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#56

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 Kenosha, selected other county subdivisions in Wisconsin, and entities that contain Kenosha
Female
Male
1x0x1x2x3xFM#NeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauFitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinWest AllisWauwatosaWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaKenoshaUnited StatesSuperiorManitowocFranklinLa CrosseChicago AreaS MilwaukeeMiddletonMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaKenoshaGermantownWaukeshaOconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-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%-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 Kenosha to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Kenosha. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Kenosha, selected other county subdivisions in the Midwest, and entities that contain Kenosha
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 TownshipBloomingdaleKenoshaKenoshaColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceKenosha CountyKenoshaSioux FallsWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington 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%9,3752611.549265%11.549265%11.5%7,36011.549265%11.549265%11.5%7,36011.376979%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%11,88611.9k396.804680%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#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Kenosha, selected other county subdivisions in the Midwest, and entities that contain Kenosha
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 CountyKenoshaMilwaukeeKenoshaKenoshaRockford 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%27,23327.2k23.517740%23.517740%23.5%85,81285.8k3622.927488%22.927488%22.9%14,61114.6k22.927488%22.927488%22.9%14,61114.6k21.592552%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#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Kenosha, selected other county subdivisions in the Midwest, and entities that contain Kenosha
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 CountyKenoshaKenoshaKenoshaToledoNorth 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%2,0511.762204%1.762204%1.8%1,1231.762204%1.762204%1.8%1,1231.642065%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#60

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 Kenosha, selected other county subdivisions in the Midwest, and entities that contain Kenosha
Female
Male
1x0x1xFM#KenoshaCedar RapidsLincolnDetroitOmahaToledoWisconsinThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipKenoshaKenoshaWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraChicago AreaWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-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-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%-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#61

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 Kenosha, selected other county subdivisions in the Midwest, and entities that contain Kenosha
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraKenoshaUnited StatesAnn ArborTopekaSterling HtsChicago AreaPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoKenoshaKenoshaWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-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-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%-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 Kenosha to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Kenosha. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Kenosha, selected other county subdivisions in the United States, and entities that contain Kenosha
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, CharlotteKenoshaKenoshaColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonKenosha CountyKenoshaAtlantaSeattleWisconsinNortheast TarrantNE TarrantPlanoSeattle 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%61,37861.4k3911.549265%11.549265%11.5%7,36011.549265%11.549265%11.5%7,36011.376979%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%31,44331.4k485.714681%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#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Kenosha, selected other county subdivisions in the United States, and entities that contain Kenosha
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 CountyKenoshaSouthwest DallasSW DallasMilwaukeeKenoshaKenoshaFresnoLas 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%27,23327.2k23.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.927488%22.927488%22.9%14,61114.6k22.927488%22.927488%22.9%14,61114.6k22.486319%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#64

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Kenosha, selected other county subdivisions in the United States, and entities that contain Kenosha
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 CntrlKenoshaKenoshaEl PasoSouthwest 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%7,845461.762204%1.762204%1.8%1,1231.762204%1.762204%1.8%1,1231.745764%1.745764%1.7%5,975471.704476%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#65

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 Kenosha, selected other county subdivisions in the United States, and entities that contain Kenosha
Female
Male
1x0x1xFM#1, CharlotteKenoshaDetroitWisconsinBaltimoreTulsaSW DallasKenoshaKenoshaMidwestFresnoEast 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-1.000000x1.285784x1.285784x1.29x10.185%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-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%-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#66

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 Kenosha, selected other county subdivisions in the United States, and entities that contain Kenosha
Female
Male
1x0x1x2xFM#El 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 DallasBrooklynManhattanChicagoKenoshaKenoshaSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-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-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%-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

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Education

More Maps to Explore

State:
Wisconsin
County:
Kenosha
Metro Area:
Chicago Area
City:
Kenosha
Village:
Somers
ZIP Codes:
53104, 53140, 53142, 53143, 53144, 53158
Unified School District:
Kenosha
Elementary School Districts:
Bristol No. 1, Paris Joint No. 1
Secondary School District:
Westosha
Neighborhoods:
Alford Park, Allendale, Bain Park, Carthage, Central Business District, Columbus, Forest Park, Grant, Harbor Side, Isetts, Lance, Lincoln Park, McKinley, Parkside, Poerio, Red Arrow, River Crossing, Roosevelt, Southport, St. Joe's, Stocker, Sunnywside, Uptown, Villa Capri, White Caps, Wilson
Congressional District:
WI-1
State Senate Districts:
WI-21, WI-22
Assembly Districts:
WI-61, WI-64, WI-65
Neighboring Towns:
Paris, Somers
Nearby Towns:
Yorkville
Nearby Townships:
Benton, Newport, Zion