Educational Attainment in Kenosha County, Wisconsin (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wisconsin and Kenosha County
Kenosha County
Wisconsin
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma234.791620%38.686675%34.791620%34.8%38,44338.4k55.205213%52.676105%55.205213%55.2%60,99961.0k10.003168%8.637220%10.003168%10.0%11,05311.1k
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 Wisconsin at large.
Scope: population of Wisconsin and Kenosha County
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-10.068209%-10.068209%-10.1%34.792%34.8%38.687%38.7%4.801243%4.801243%+4.8%55.205%55.2%52.676%52.7%15.814665%15.814665%+15.8%10.003%10.0%8.637%8.64%
% percentage with given level in Kenosha County
ref. percentage with given level in Wisconsin
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 Wisconsin and Kenosha County
Kenosha County
Wisconsin
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.843477%1.094506%0.843477%0.8%9321.012716%1.609379%1.012716%1.0%1,1196.631069%6.922399%6.631069%6.6%7,32716.159102%18.747154%16.159102%16.2%17,85517.9k10.145255%10.313236%10.145255%10.1%11,21011.2k22.882483%20.983992%22.882483%22.9%25,28425.3k32.322730%31.692113%32.322730%32.3%35,71535.7k6.883569%5.657202%6.883569%6.9%7,6062.060727%2.130908%2.060727%2.1%2,2771.058871%0.849110%1.058871%1.1%1,170
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 Wisconsin at large.
Scope: population of Wisconsin and Kenosha County
-20%0%+20%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-22.935387%-22.935387%-22.9%0.843%0.84%1.095%1.09%-37.074152%-37.074152%-37.1%1.013%1.01%1.609%1.61%-4.208512%-4.208512%-4.2%6.631%6.63%6.922%6.92%-13.805038%-13.805038%-13.8%16.159%16.2%18.747%18.7%-1.628786%-1.628786%-1.6%10.145%10.1%10.313%10.3%9.047333%9.047333%+9.0%22.882%22.9%20.984%21.0%1.989820%1.989820%+2.0%32.323%32.3%31.692%31.7%21.677977%21.677977%+21.7%6.884%6.88%5.657%5.66%-3.293491%-3.293491%-3.3%2.061%2.06%2.131%2.13%24.703720%24.703720%+24.7%1.059%1.06%0.849%0.85%
% percentage with given level in Kenosha County
ref. percentage with given level in Wisconsin
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 Wisconsin and Kenosha County
More Females More Males
Wisconsin
Kenosha County
10%0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-11.359149%-9.820753%-11.359149%11%36.603%36.6%32.870%32.9%2.621339%3.687318%2.621339%3%54.512%54.5%55.941%55.9%25.940122%21.929118%25.940122%26%8.885%8.88%11.190%11.2%
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 Wisconsin and Kenosha County
More Females More Males
Wisconsin
Kenosha County
20%0%20%40%60%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None32.754699%49.112245%32.754699%33%0.728%0.73%0.966%0.97%72.601323%63.725126%72.601323%73%0.749%0.75%1.293%1.29%-34.566444%-26.714257%-34.566444%35%7.575%7.58%5.629%5.63%-3.683429%-10.314398%-3.683429%4%16.443%16.4%15.858%15.9%-21.767169%-14.230343%-21.767169%22%11.109%11.1%9.123%9.12%-8.369811%-1.828461%-8.369811%8%23.773%23.8%21.937%21.9%10.622003%7.484254%10.622003%11%30.739%30.7%34.004%34.0%28.903436%27.756322%28.903436%29%6.037%6.04%7.782%7.78%25.309230%11.346432%25.309230%25%1.835%1.84%2.300%2.30%9.416910%12.366663%9.416910%9%1.013%1.01%1.108%1.11%
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 Wisconsin and Kenosha County
Kenosha County
Wisconsin
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3410.713773%12.755764%10.713773%10.7%2,24120,91720.9k15.065474%17.674080%15.065474%15.1%7,04146,73646.7k18.091194%22.171538%18.091194%18.1%3,92021,66821.7k21.975064%25.037795%21.975064%22.0%4,65321,17421.2k
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 Wisconsin at large.
Scope: population of Wisconsin and Kenosha County
15%10%5%0%%ref.65+45-6435-4425-34-16.008377%-16.008377%16.0%10.714%10.7%12.756%12.8%-14.759502%-14.759502%14.8%15.065%15.1%17.674%17.7%-18.403520%-18.403520%18.4%18.091%18.1%22.172%22.2%-12.232433%-12.232433%12.2%21.975%22.0%25.038%25.0%
% percentage in Kenosha County with a Bachelor's degree
ref percentage in Wisconsin 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 Wisconsin and Kenosha County
More Females More Males
Wisconsin
Kenosha County
30%20%10%0%10%20%FM65+45-6435-4425-3422.274620%15.252186%22.274620%22.3%9.766%9.77%11.942%11.9%-8.291196%9.375659%9.375659%9.4%14.397%14.4%15.747%15.7%-21.125376%-22.719305%-21.125376%21.1%19.809%19.8%16.354%16.4%-31.698226%-29.514910%-31.698226%31.7%24.981%25.0%18.968%19.0%
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 Wisconsin and Kenosha County
Kenosha County
Wisconsin
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$66,044.000000$61,842.000000$66,044.000000$66.0k9,3788.487%8.49%$49,737.000000$48,286.000000$49,737.000000$49.7k17,85517.9k16.159%16.2%$35,436.000000$34,771.000000$35,436.000000$35.4k36,49436.5k33.028%33.0%$30,138.000000$30,475.000000$30,138.000000$30.1k35,71535.7k32.323%32.3%$21,380.000000$22,317.000000$21,380.000000$21.4k11,05311.1k10.003%10.0%$36,879.000000$36,855.000000$36,879.000000$36.9k110,495110k100.000%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 Wisconsin and Kenosha County
Female Male
Wisconsin
Kenosha County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-61,110.000000$-55,037.000000$-61,110.000000$61.1k$61,110.000000$12,624.000000$55,037.000000$18,141.000000$73,734.000000$73.7k5,1494,229$-42,927.000000$-40,915.000000$-42,927.000000$42.9k$42,927.000000$18,121.000000$40,915.000000$18,355.000000$61,048.000000$61.0k9,3538,502$-28,441.000000$-28,362.000000$-28,441.000000$28.4k$28,441.000000$16,837.000000$28,362.000000$14,055.000000$45,278.000000$45.3k19,84219.8k16,65216.7k$-22,971.000000$-23,872.000000$-22,971.000000$23.0k$22,971.000000$12,486.000000$23,872.000000$12,519.000000$35,457.000000$35.5k17,48517.5k18,23018.2k$-17,213.000000$-16,775.000000$-17,213.000000$17.2k$17,213.000000$6,057.000000$16,775.000000$9,472.000000$23,270.000000$23.3k5,0545,999$-30,567.000000$-30,829.000000$-30,567.000000$30.6k$30,567.000000$12,917.000000$30,829.000000$12,328.000000$43,484.000000$43.5k56,88356.9k53,61253.6k
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 Wisconsin and Kenosha County
Kenosha County
Wisconsin
0%10%20%30%40%50%60%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma318.106996%32.763533%18.106996%18.1%4462.962963%54.226021%62.962963%63.0%15318.930041%12.203229%18.930041%18.9%460.000000%0.000000%0.0%0.807217%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 Wisconsin and Kenosha County
Kenosha County
Wisconsin
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma383.748627%85.899471%83.748627%83.7%19,83019.8k74.678712%79.335494%74.678712%74.7%23,47623.5k70.646840%73.240943%70.646840%70.6%19,00419.0k53.291909%53.971506%53.291909%53.3%4,031
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 Wisconsin and Kenosha County
Female Male
Wisconsin
Kenosha County
Shaded bar tips show excess over facing bar.
20%0%20%MFWhite1BlackAsianHispanic2Other1-6.356645%-5.697819%-6.356645%6.4%6.356645%2.184191%5.697819%1.469036%8.540837%8.5%3,7732,984-14.469651%-17.429079%-14.469651%14.5%14.469651%2.798898%17.429079%2.936718%17.268549%17.3%526472-9.943978%-3.174085%-14.441272%-4.641233%-13.118063%13.1%9.943978%14.441272%9.943978%9.9%71130-28.052412%-31.307944%-28.052412%28.1%28.052412%3.073801%31.307944%5.178771%31.126214%31.1%1,6031,413-18.048780%-7.219316%-22.693686%-25.268097%25.3%18.048780%22.693686%3.979967%18.048780%18.0%259377
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 Wisconsin and Kenosha County
Female Male
Wisconsin
Kenosha County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-25.887360%-1.168857%-28.711494%-2.079187%-27.056217%27.1%25.887360%28.711494%25.887360%25.9%11,43611.4k12,70112.7k-14.773473%-0.523890%-11.717867%-3.588054%-15.297364%15.3%14.773473%11.717867%14.773473%14.8%450499-43.188698%-44.377167%-43.188698%43.2%43.188698%4.150237%44.377167%4.100638%47.338936%47.3%338428-7.980583%-4.884218%-10.433533%-4.583778%-12.864800%12.9%7.980583%10.433533%7.980583%8.0%411648-9.337979%-11.037356%-13.316792%-4.610459%-20.375335%20.4%9.337979%13.316792%9.337979%9.3%134304
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by County Subdivision in Kenosha County

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#16

Percentage of the population 25 years and older with given highest level of educational attainment
22.1%26.7%31.3%35.8%40.4%45.0%

Coarse: High School Diploma Educational Attainment by County Subdivision#17

Percentage of the population 25 years and older with given highest level of educational attainment
48.5%52.6%56.8%60.9%65.0%69.2%

Coarse: No High School Diploma Educational Attainment by County Subdivision#18

Percentage of the population 25 years and older with given highest level of educational attainment
5.2%7.4%9.5%11.7%13.8%16.0%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.6%1.2%1.8%2.4%3.0%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.5%1.1%1.6%2.2%2.8%

Detailed: Master's Degree Educational Attainment by County Subdivision#21

Percentage of the population 25 years and older with given highest level of educational attainment
2.5%3.9%5.3%6.7%8.0%9.5%

Detailed: Bachelor's Degree Educational Attainment by County Subdivision#22

Percentage of the population 25 years and older with given highest level of educational attainment
10.6%13.0%15.3%17.7%20.0%22.4%

Detailed: Associate's Degree Educational Attainment by County Subdivision#23

Percentage of the population 25 years and older with given highest level of educational attainment
7.6%9.4%11.2%12.9%14.7%16.4%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
18.9%21.6%24.2%26.9%29.5%32.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
27.6%32.2%36.7%41.2%45.7%50.3%

Detailed: Some High School Educational Attainment by County Subdivision#26

Percentage of the population 25 years and older with given highest level of educational attainment
3.3%5.9%8.4%11.0%13.5%16.0%

Detailed: Less than High School Educational Attainment by County Subdivision#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.1%2.1%3.2%4.3%5.4%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.42%0.84%1.26%1.68%2.10%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Kenosha County

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
0.0%1.7%3.4%5.1%6.8%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 Place in Kenosha County

There are 12 places that are fully or partially contained within Kenosha County (11 fully and 1 partially). This section compares all 12 of those to each other, Kenosha County, and other entities that contain or substantially overlap with Kenosha County.

No H.S. Diploma by Place#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Kenosha County, selected places in Kenosha County, and entities that contain Kenosha County
0%5%10%15%Count#Camp LakeLily LakeUnited States of AmericaUnited StatesChicago, Naperville, and Elgin Metro AreaChicago AreaKenoshaEast North CentralSilver LakeMidwestKenosha CountyKenoshaWisconsinGenoa CityPleasant PrairiePowers LakeBristolPaddock LakeTwin LakesSomersWilmot17.253660%17.253660%17.3%436113.677812%13.677812%13.7%45213.020590%13.020590%13.0%27,818,38027.8M12.363193%12.363193%12.4%786,419786k11.549265%11.549265%11.5%7,360310.719464%10.719464%10.7%3,363,7843.36M10.529519%10.529519%10.5%173410.244520%10.244520%10.2%4,641,8354.64M10.003168%10.003168%10.0%11,05311.1k8.637220%8.637220%8.6%336,096336k8.210646%8.210646%8.2%14557.709924%7.709924%7.7%1,11166.828194%6.828194%6.8%6276.815096%6.815096%6.8%25186.325023%6.325023%6.3%13795.803684%5.803684%5.8%230105.227493%5.227493%5.2%270114.891304%4.891304%4.9%912
Count number of people in category
# rank of place out of 12 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Kenosha County, selected places in Kenosha County, and entities that contain Kenosha County
0%10%20%30%Count#Chicago, Naperville, and Elgin Metro AreaChicago AreaSomersPleasant PrairieUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinPowers LakeSilver LakeKenosha CountyKenoshaBristolPaddock LakeKenoshaTwin LakesGenoa CityCamp LakeWilmotLily Lake36.061733%36.061733%36.1%2,293,8762.29M34.753146%34.753146%34.8%1,795133.074254%33.074254%33.1%4,766230.315023%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%1,104,0821.10M27.533040%27.533040%27.5%250324.710895%24.710895%24.7%406424.646364%24.646364%24.6%27,23327.2k23.784958%23.784958%23.8%876523.222530%23.222530%23.2%503622.927488%22.927488%22.9%14,61114.6k722.230633%22.230633%22.2%881820.781427%20.781427%20.8%367918.955283%18.955283%19.0%4791014.673913%14.673913%14.7%271114.589666%14.589666%14.6%4812
Count number of people in category
# rank of place out of 12 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#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 County, selected places in Kenosha County, and entities that contain Kenosha County
0%1%2%3%Count#Chicago, Naperville, and Elgin Metro AreaChicago AreaSomersUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinPleasant PrairieKenosha CountyKenoshaKenoshaBristolPaddock LakeCamp LakeTwin LakesSilver LakePowers LakeLily LakeGenoa CityWilmot3.767884%3.767884%3.8%239,674240k3.697967%3.697967%3.7%19113.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.637058%2.637058%2.6%38021.856193%1.856193%1.9%2,0511.762204%1.762204%1.8%1,12331.737714%1.737714%1.7%6441.615882%1.615882%1.6%3551.464187%1.464187%1.5%3761.413071%1.413071%1.4%5670.973828%0.973828%1.0%1680.770925%0.770925%0.8%790.303951%0.303951%0.3%1100.283126%0.283126%0.3%5110.000000%0.000000%0.0%012
Count number of people in category
# rank of place out of 12 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 Place#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 County, selected places in Kenosha County, and entities that contain Kenosha County
Female
Male
0x5x10xFM#Lily LakeWilmotBristolSomersSilver LakeTwin LakesPaddock LakePleasant PrairieKenoshaWisconsinKenoshaCamp LakeMidwestEast North CentralUnited StatesChicago AreaGenoa CityPowers Lake-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%24.862%24.9%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%10.714%10.7%2-1.000000x-1.000000x2.936039x2.936039x2.94x3.521%3.52%10.337%10.3%3-1.000000x-1.000000x2.857481x2.857481x2.86x2.736%2.74%7.817%7.82%4-1.000000x-1.000000x2.692786x2.692786x2.69x5.632%5.63%15.166%15.2%5-1.000000x-1.000000x1.772709x1.772709x1.77x4.220%4.22%7.481%7.48%6-1.000000x-1.000000x1.449511x1.449511x1.45x5.108%5.11%7.404%7.40%7-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.259401x1.259401x1.26x8.885%8.88%11.190%11.2%-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%9-1.000000x-1.000000x1.133161x1.133161x1.13x16.124%16.1%18.271%18.3%10-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.086510x1.086510x1.09x11.871%11.9%12.898%12.9%-1.000000x-1.000000x1.070544x1.070544x1.07x7.938%7.94%8.498%8.50%11-1.760078x-1.760078x1.76x1.000000x1.000000x8.837%8.84%5.021%5.02%12
F percentage of females in category
M percentage of males in category
# rank of place out of 12 by male-to-female sex ratio

Over-Education Sex Ratio by Place#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 County, selected places in Kenosha County, and entities that contain Kenosha County
Female
Male
10x5x0x5xFM#Twin LakesBristolPleasant PrairieEast North CentralMidwestWisconsinKenoshaUnited StatesChicago AreaKenoshaPaddock LakeCamp LakeSomersPowers LakeSilver LakeGenoa CityLily Lake-1.000000x-1.000000x5.528773x5.528773x5.53x0.442%0.44%2.442%2.44%1-1.000000x-1.000000x3.207303x3.207303x3.21x0.841%0.84%2.697%2.70%2-1.000000x-1.000000x2.927208x2.927208x2.93x1.353%1.35%3.961%3.96%3-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.529626x1.529626x1.53x1.477%1.48%2.259%2.26%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.466259x1.466259x1.47x3.080%3.08%4.516%4.52%-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%4-1.000000x-1.000000x1.182346x1.182346x1.18x1.473%1.47%1.742%1.74%5-1.000000x-1.000000x1.058824x1.058824x1.06x1.420%1.42%1.504%1.50%6-1.126429x-1.126429x1.13x1.000000x1.000000x3.913%3.91%3.474%3.47%7-1.482171x-1.482171x1.48x1.000000x1.000000x0.930%0.93%0.628%0.63%8-2.323905x-2.323905x2.32x1.000000x1.000000x1.377%1.38%0.592%0.59%9-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.551%0.55%0.000%0%10-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.676%0.68%0.000%0%11
F percentage of females in category
M percentage of males in category
# rank of place out of 11 by male-to-female sex ratio

Educational Attainment by County Subdivision in Kenosha County

There are 15 county subdivisions in Kenosha County. This section compares all 15 of those to each other, Kenosha County, and other entities that contain or substantially overlap with Kenosha County.

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 County, selected county subdivisions in Kenosha County, and entities that contain Kenosha County
0%5%10%15%Count#Town of SomersSomersUnited States of AmericaUnited StatesChicago, Naperville, and Elgin Metro AreaChicago AreaKenoshaTown of SalemEast North CentralSilver LakeTown of BrightonBrightonMidwestKenosha CountyKenoshaWisconsinPleasant PrairieBristolTown of RandallRandallPaddock LakeTown of ParisTown of WheatlandWheatlandTwin LakesSomers15.993538%15.993538%16.0%99113.020590%13.020590%13.0%27,818,38027.8M12.363193%12.363193%12.4%786,419786k11.549265%11.549265%11.5%7,360211.506714%11.506714%11.5%934310.719464%10.719464%10.7%3,363,7843.36M10.529519%10.529519%10.5%173410.412758%10.412758%10.4%111510.244520%10.244520%10.2%4,641,8354.64M10.003168%10.003168%10.0%11,05311.1k8.637220%8.637220%8.6%336,096336k7.709924%7.709924%7.7%1,11166.815096%6.815096%6.8%25176.768838%6.768838%6.8%15986.325023%6.325023%6.3%13796.117247%6.117247%6.1%72106.058091%6.058091%6.1%146115.803684%5.803684%5.8%230125.227493%5.227493%5.2%27013
Count number of people in category
# rank of county subdivision out of 13 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 County, selected county subdivisions in Kenosha County, and entities that contain Kenosha County
0%10%20%30%Count#Chicago, Naperville, and Elgin Metro AreaChicago AreaSomersPleasant PrairieUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinTown of ParisTown of RandallRandallSilver LakeKenosha CountyKenoshaTown of BrightonBrightonBristolPaddock LakeKenoshaTwin LakesTown of SalemTown of WheatlandWheatlandTown of SomersSomers36.061733%36.061733%36.1%2,293,8762.29M34.753146%34.753146%34.8%1,795133.074254%33.074254%33.1%4,766230.315023%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%1,104,0821.10M25.743415%25.743415%25.7%303325.713069%25.713069%25.7%604424.710895%24.710895%24.7%406524.646364%24.646364%24.6%27,23327.2k24.108818%24.108818%24.1%257623.784958%23.784958%23.8%876723.222530%23.222530%23.2%503822.927488%22.927488%22.9%14,61114.6k922.230633%22.230633%22.2%8811021.707527%21.707527%21.7%1,7621115.892116%15.892116%15.9%3831213.893376%13.893376%13.9%8613
Count number of people in category
# rank of county subdivision out of 13 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 County, selected county subdivisions in Kenosha County, and entities that contain Kenosha County
0%1%2%3%Count#Chicago, Naperville, and Elgin Metro AreaChicago AreaSomersTown of ParisUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinPleasant PrairieKenosha CountyKenoshaTown of BrightonBrightonKenoshaBristolPaddock LakeTwin LakesTown of SalemSilver LakeTown of RandallRandallTown of WheatlandWheatlandTown of SomersSomers3.767884%3.767884%3.8%239,674240k3.697967%3.697967%3.7%19113.568394%3.568394%3.6%4223.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.637058%2.637058%2.6%38031.856193%1.856193%1.9%2,0511.782364%1.782364%1.8%1941.762204%1.762204%1.8%1,12351.737714%1.737714%1.7%6461.615882%1.615882%1.6%3571.413071%1.413071%1.4%5681.392140%1.392140%1.4%11390.973828%0.973828%1.0%16100.468284%0.468284%0.5%11110.041494%0.041494%0.0%1120.000000%0.000000%0.0%013
Count number of people in category
# rank of county subdivision out of 13 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 County, selected county subdivisions in Kenosha County, and entities that contain Kenosha County
Female
Male
2x0x2x4x6xFM#WheatlandBristolSomersSilver LakeTwin LakesPaddock LakePleasant PrairieTown of SalemKenoshaWisconsinTown of ParisKenoshaMidwestEast North CentralUnited StatesChicago AreaRandallBrightonSomers-1.000000x-1.000000x7.949273x7.949273x7.95x1.379%1.38%10.960%11.0%1-1.000000x-1.000000x2.936039x2.936039x2.94x3.521%3.52%10.337%10.3%2-1.000000x-1.000000x2.857481x2.857481x2.86x2.736%2.74%7.817%7.82%3-1.000000x-1.000000x2.692786x2.692786x2.69x5.632%5.63%15.166%15.2%4-1.000000x-1.000000x1.772709x1.772709x1.77x4.220%4.22%7.481%7.48%5-1.000000x-1.000000x1.449511x1.449511x1.45x5.108%5.11%7.404%7.40%6-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%7-1.000000x-1.000000x1.300080x1.300080x1.30x10.020%10.0%13.026%13.0%8-1.000000x-1.000000x1.259401x1.259401x1.26x8.885%8.88%11.190%11.2%-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.164124x1.164124x1.16x5.626%5.63%6.550%6.55%9-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%10-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.086510x1.086510x1.09x11.871%11.9%12.898%12.9%-1.041117x-1.041117x1.04x1.000000x1.000000x6.905%6.91%6.633%6.63%11-1.194498x-1.194498x1.19x1.000000x1.000000x11.435%11.4%9.573%9.57%12-2.863777x-2.863777x2.86x1.000000x1.000000x23.220%23.2%8.108%8.11%13
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 13 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 County, selected county subdivisions in Kenosha County, and entities that contain Kenosha County
Female
Male
10x5x0x5xFM#BrightonTwin LakesBristolPleasant PrairieTown of SalemRandallEast North CentralMidwestWisconsinKenoshaUnited StatesChicago AreaKenoshaPaddock LakeTown of ParisSomersSilver LakeWheatland-1.000000x-1.000000x6.988889x6.988889x6.99x0.416%0.42%2.906%2.91%1-1.000000x-1.000000x5.528773x5.528773x5.53x0.442%0.44%2.442%2.44%2-1.000000x-1.000000x3.207303x3.207303x3.21x0.841%0.84%2.697%2.70%3-1.000000x-1.000000x2.927208x2.927208x2.93x1.353%1.35%3.961%3.96%4-1.000000x-1.000000x2.702479x2.702479x2.70x0.756%0.76%2.042%2.04%5-1.000000x-1.000000x1.745536x1.745536x1.75x0.341%0.34%0.595%0.60%6-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.529626x1.529626x1.53x1.477%1.48%2.259%2.26%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.466259x1.466259x1.47x3.080%3.08%4.516%4.52%-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%7-1.000000x-1.000000x1.182346x1.182346x1.18x1.473%1.47%1.742%1.74%8-1.032833x-1.032833x1.03x1.000000x1.000000x3.630%3.63%3.514%3.51%9-1.126429x-1.126429x1.13x1.000000x1.000000x3.913%3.91%3.474%3.47%10-2.323905x-2.323905x2.32x1.000000x1.000000x1.377%1.38%0.592%0.59%11-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.081%0.08%0.000%0%12
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 12 by male-to-female sex ratio

Educational Attainment by County in the Chicago Area

There are 14 counties in the Chicago Area. This section compares Kenosha County to all of the counties in the Chicago Area and to those entities that contain or substantially overlap with Kenosha County.

No H.S. Diploma by County#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Kenosha County, selected other counties in the Chicago Area, and entities that contain Kenosha County
0%5%10%15%Count#Kane CountyKaneCook CountyCookNewton CountyNewtonUnited States of AmericaUnited StatesJasper CountyJasperLake CountyLakeChicago, Naperville, and Elgin Metro AreaChicago AreaEast North CentralMidwestLake CountyLakeKenosha CountyKenoshaWill CountyWillWisconsinPorter CountyPorterDuPage CountyDuPageMcHenry CountyMcHenryDeKalb CountyDeKalbGrundy CountyGrundyKendall CountyKendall16.875440%16.875440%16.9%56,86556.9k114.189351%14.189351%14.2%503,252503k214.173869%14.173869%14.2%1,394313.020590%13.020590%13.0%27,818,38027.8M13.001171%13.001171%13.0%2,886412.411771%12.411771%12.4%40,39240.4k512.363193%12.363193%12.4%786,419786k10.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.194843%10.194843%10.2%46,16546.2k610.003168%10.003168%10.0%11,05311.1k79.176975%9.176975%9.2%40,40240.4k88.637220%8.637220%8.6%336,096336k8.267957%8.267957%8.3%9,34897.562669%7.562669%7.6%47,59847.6k107.387894%7.387894%7.4%15,06015.1k117.356957%7.356957%7.4%4,472127.057438%7.057438%7.1%2,337136.828339%6.828339%6.8%5,19514
Count number of people in category
# rank of county out of 14 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Kenosha County, selected other counties in the Chicago Area, and entities that contain Kenosha County
0%10%20%30%40%Count#DuPage CountyDuPageLake CountyLakeCook CountyCookChicago, Naperville, and Elgin Metro AreaChicago AreaKendall CountyKendallWill CountyWillMcHenry CountyMcHenryKane CountyKaneDeKalb CountyDeKalbUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinPorter CountyPorterKenosha CountyKenoshaGrundy CountyGrundyLake CountyLakeJasper CountyJasperNewton CountyNewton47.312042%47.312042%47.3%297,773298k143.696158%43.696158%43.7%197,868198k236.471153%36.471153%36.5%1,293,5181.29M336.061733%36.061733%36.1%2,293,8762.29M34.271819%34.271819%34.3%26,07426.1k433.454551%33.454551%33.5%147,285147k533.246504%33.246504%33.2%67,77267.8k632.104140%32.104140%32.1%108,181108k730.826177%30.826177%30.8%18,73818.7k830.315023%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%1,104,0821.10M26.126142%26.126142%26.1%29,53929.5k924.646364%24.646364%24.6%27,23327.2k1021.773268%21.773268%21.8%7,2101120.887863%20.887863%20.9%67,97668.0k1216.542031%16.542031%16.5%3,6721310.543976%10.543976%10.5%1,03714
Count number of people in category
# rank of county out of 14 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#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 County, selected other counties in the Chicago Area, and entities that contain Kenosha County
0%1%2%3%4%Count#Lake CountyLakeDuPage CountyDuPageCook CountyCookChicago, Naperville, and Elgin Metro AreaChicago AreaUnited States of AmericaUnited StatesMidwestEast North CentralPorter CountyPorterDeKalb CountyDeKalbWisconsinWill CountyWillKane CountyKaneMcHenry CountyMcHenryKenosha CountyKenoshaKendall CountyKendallLake CountyLakeJasper CountyJasperGrundy CountyGrundyNewton CountyNewton4.931243%4.931243%4.9%22,33022.3k14.837928%4.837928%4.8%30,44930.4k24.239617%4.239617%4.2%150,366150k33.767884%3.767884%3.8%239,674240k3.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.789595%2.789595%2.8%3,15442.709505%2.709505%2.7%1,64752.703886%2.703886%2.7%105,215105k2.419967%2.419967%2.4%10,65410.7k62.229285%2.229285%2.2%7,51272.165350%2.165350%2.2%4,41481.856193%1.856193%1.9%2,05191.790221%1.790221%1.8%1,362101.547169%1.547169%1.5%5,035111.419047%1.419047%1.4%315120.942200%0.942200%0.9%312130.742247%0.742247%0.7%7314
Count number of people in category
# rank of county out of 14 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#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 County, selected other counties in the Chicago Area, and entities that contain Kenosha County
Female
Male
1x0x1xFM#JasperGrundyKenoshaWillWisconsinMcHenryDeKalbMidwestEast North CentralKendallKaneUnited StatesChicago AreaLakeCookLakeDuPageNewtonPorter-1.000000x-1.000000x1.473592x1.473592x1.47x10.567%10.6%15.572%15.6%1-1.000000x-1.000000x1.337181x1.337181x1.34x6.053%6.05%8.094%8.09%2-1.000000x-1.000000x1.259401x1.259401x1.26x8.885%8.88%11.190%11.2%3-1.000000x-1.000000x1.226303x1.226303x1.23x8.266%8.27%10.137%10.1%4-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.158108x1.158108x1.16x6.857%6.86%7.941%7.94%5-1.000000x-1.000000x1.128876x1.128876x1.13x6.917%6.92%7.808%7.81%6-1.000000x-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-1.000000x1.116824x1.116824x1.12x6.462%6.46%7.217%7.22%7-1.000000x-1.000000x1.116173x1.116173x1.12x15.967%16.0%17.822%17.8%8-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.086510x1.086510x1.09x11.871%11.9%12.898%12.9%-1.000000x-1.000000x1.083517x1.083517x1.08x11.942%11.9%12.940%12.9%9-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%10-1.000000x-1.000000x1.072897x1.072897x1.07x9.846%9.85%10.564%10.6%11-1.000000x-1.000000x1.019988x1.019988x1.02x7.491%7.49%7.640%7.64%12-1.014566x-1.014566x1.01x1.000000x1.000000x14.277%14.3%14.072%14.1%13-1.042712x-1.042712x1.04x1.000000x1.000000x8.435%8.44%8.090%8.09%14
F percentage of females in category
M percentage of males in category
# rank of county out of 14 by male-to-female sex ratio

Over-Education Sex Ratio by County#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 County, selected other counties in the Chicago Area, and entities that contain Kenosha County
Female
Male
0x2x4xFM#JasperNewtonPorterLakeDuPageLakeKaneEast North CentralMidwestWisconsinKenoshaUnited StatesChicago AreaCookDeKalbWillMcHenryKendallGrundy-1.000000x-1.000000x5.734321x5.734321x5.73x0.430%0.43%2.464%2.46%1-1.000000x-1.000000x2.148860x2.148860x2.15x0.470%0.47%1.011%1.01%2-1.000000x-1.000000x1.988691x1.988691x1.99x1.887%1.89%3.752%3.75%3-1.000000x-1.000000x1.846889x1.846889x1.85x3.494%3.49%6.454%6.45%4-1.000000x-1.000000x1.693272x1.693272x1.69x3.629%3.63%6.145%6.14%5-1.000000x-1.000000x1.667917x1.667917x1.67x1.177%1.18%1.963%1.96%6-1.000000x-1.000000x1.664337x1.664337x1.66x1.682%1.68%2.800%2.80%7-1.000000x-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%8-1.000000x-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-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%9-1.000000x-1.000000x1.349170x1.349170x1.35x2.311%2.31%3.118%3.12%10-1.000000x-1.000000x1.321469x1.321469x1.32x2.092%2.09%2.765%2.77%11-1.000000x-1.000000x1.243444x1.243444x1.24x1.935%1.93%2.406%2.41%12-1.115347x-1.115347x1.12x1.000000x1.000000x1.885%1.88%1.690%1.69%13-1.287128x-1.287128x1.29x1.000000x1.000000x1.058%1.06%0.822%0.82%14
F percentage of females in category
M percentage of males in category
# rank of county out of 14 by male-to-female sex ratio

Educational Attainment by County in Wisconsin

There are 72 counties in Wisconsin. This section compares Kenosha County to the 50 most populous counties in Wisconsin and to those entities that contain or substantially overlap with Kenosha County. The least populous of the compared counties has a population of 20,566.

No H.S. Diploma by County#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Kenosha County, selected other counties in Wisconsin, and entities that contain Kenosha County
0%5%10%15%Count#Clark CountyClarkJuneau CountyJuneauWaushara CountyWausharaMilwaukee CountyMilwaukeeUnited States of AmericaUnited StatesChicago, Naperville, and Elgin Metro AreaChicago AreaVernon CountyVernonJackson CountyJacksonRacine CountyRacineDodge CountyDodgeEast North CentralRock CountyRockTrempealeau CountyTrempealeauMidwestBarron CountyBarronKenosha CountyKenoshaMonroe CountyMonroeLincoln CountyLincolnOconto CountyOcontoShawano CountyShawanoWaupaca CountyWaupacaSauk CountySaukManitowoc CountyManitowocWalworth CountyWalworthJefferson CountyJeffersonMarathon CountyMarathonWisconsinMarinette CountyMarinetteGrant CountyGrantBrown CountyBrownFond du Lac CountyFond du LacSheboygan CountySheboyganOneida CountyOneidaWinnebago CountyWinnebagoChippewa CountyChippewaGreen CountyGreenWood CountyWoodVilas CountyVilasCalumet CountyCalumetColumbia CountyColumbiaPolk CountyPolkDunn CountyDunnEau Claire CountyEau ClairePortage CountyPortageIowa CountyIowaOutagamie CountyOutagamieDouglas CountyDouglasDoor CountyDoorWashington CountyWashingtonLa Crosse CountyLa CrossePierce CountyPierceDane CountyDaneSt. Croix CountySt. CroixWaukesha CountyWaukeshaOzaukee CountyOzaukee18.376088%18.376088%18.4%3,990113.948397%13.948397%13.9%2,676213.760962%13.760962%13.8%2,495313.092854%13.092854%13.1%81,52281.5k413.020590%13.020590%13.0%27,818,38027.8M12.363193%12.363193%12.4%786,419786k11.937598%11.937598%11.9%2,441511.792912%11.792912%11.8%1,697611.170104%11.170104%11.2%14,74814.7k710.956491%10.956491%11.0%6,905810.719464%10.719464%10.7%3,363,7843.36M10.591406%10.591406%10.6%11,47611.5k910.579732%10.579732%10.6%2,1371010.244520%10.244520%10.2%4,641,8354.64M10.080658%10.080658%10.1%3,2621110.003168%10.003168%10.0%11,05311.1k129.792887%9.792887%9.8%2,993139.699758%9.699758%9.7%2,003149.607260%9.607260%9.6%2,615159.364060%9.364060%9.4%2,755169.145423%9.145423%9.1%3,401179.112219%9.112219%9.1%4,004189.100310%9.100310%9.1%5,192199.074810%9.074810%9.1%6,098208.872860%8.872860%8.9%5,068218.851943%8.851943%8.9%8,210228.637220%8.637220%8.6%336,096336k8.627217%8.627217%8.6%2,598238.619607%8.619607%8.6%2,745248.601954%8.601954%8.6%14,60514.6k258.427102%8.427102%8.4%5,939268.367242%8.367242%8.4%6,683277.965352%7.965352%8.0%2,161287.893714%7.893714%7.9%8,936297.879569%7.879569%7.9%3,486307.788090%7.788090%7.8%2,014317.658332%7.658332%7.7%3,988327.548309%7.548309%7.5%1,250337.361483%7.361483%7.4%2,446347.225680%7.225680%7.2%2,879357.209656%7.209656%7.2%2,228367.133617%7.133617%7.1%1,930376.868874%6.868874%6.9%4,373386.784049%6.784049%6.8%3,040396.566661%6.566661%6.6%1,090406.470675%6.470675%6.5%7,873416.427874%6.427874%6.4%1,974426.365714%6.365714%6.4%1,365436.072757%6.072757%6.1%5,649445.474767%5.474767%5.5%4,066455.314614%5.314614%5.3%1,359464.746468%4.746468%4.7%15,98916.0k474.242959%4.242959%4.2%2,454484.116150%4.116150%4.1%11,37011.4k493.651213%3.651213%3.7%2,21350
Count number of people in category
# rank of county 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#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Kenosha County, selected other counties in Wisconsin, and entities that contain Kenosha County
0%10%20%30%40%Count#Dane CountyDaneOzaukee CountyOzaukeeWaukesha CountyWaukeshaChicago, Naperville, and Elgin Metro AreaChicago AreaSt. Croix CountySt. CroixLa Crosse CountyLa CrosseDoor CountyDoorEau Claire CountyEau ClaireUnited States of AmericaUnited StatesPortage CountyPortageMilwaukee CountyMilwaukeeWashington CountyWashingtonMidwestCalumet CountyCalumetEast North CentralWisconsinBrown CountyBrownWalworth CountyWalworthPierce CountyPierceOutagamie CountyOutagamieWinnebago CountyWinnebagoVilas CountyVilasDunn CountyDunnOneida CountyOneidaKenosha CountyKenoshaRacine CountyRacineMarathon CountyMarathonSheboygan CountySheboyganJefferson CountyJeffersonIowa CountyIowaDouglas CountyDouglasGreen CountyGreenColumbia CountyColumbiaSauk CountySaukFond du Lac CountyFond du LacGrant CountyGrantVernon CountyVernonRock CountyRockWood CountyWoodManitowoc CountyManitowocPolk CountyPolkChippewa CountyChippewaTrempealeau CountyTrempealeauBarron CountyBarronMonroe CountyMonroeWaupaca CountyWaupacaDodge CountyDodgeOconto CountyOcontoLincoln CountyLincolnShawano CountyShawanoWaushara CountyWausharaMarinette CountyMarinetteJackson CountyJacksonJuneau CountyJuneauClark CountyClark49.026156%49.026156%49.0%165,150165k146.663917%46.663917%46.7%28,28328.3k241.623436%41.623436%41.6%114,976115k336.061733%36.061733%36.1%2,293,8762.29M33.399035%33.399035%33.4%19,31719.3k432.470243%32.470243%32.5%24,11524.1k531.324908%31.324908%31.3%6,717630.750503%30.750503%30.8%19,57719.6k730.315023%30.315023%30.3%64,767,78764.8M30.305059%30.305059%30.3%13,58013.6k829.748251%29.748251%29.7%185,226185k929.422072%29.422072%29.4%27,36927.4k1028.952816%28.952816%29.0%13,118,64213.1M28.702561%28.702561%28.7%9,5371128.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.243623%28.243623%28.2%47,95448.0k1227.818206%27.818206%27.8%18,69318.7k1327.816667%27.816667%27.8%7,1131427.785357%27.785357%27.8%33,80733.8k1526.886859%26.886859%26.9%30,43730.4k1626.811594%26.811594%26.8%4,4401726.627241%26.627241%26.6%7,2041826.247696%26.247696%26.2%7,1211924.646364%24.646364%24.6%27,23327.2k2023.972400%23.972400%24.0%31,65131.7k2123.939061%23.939061%23.9%22,20322.2k2223.621840%23.621840%23.6%18,86718.9k2323.470710%23.470710%23.5%13,40613.4k2423.037532%23.037532%23.0%3,8242522.777597%22.777597%22.8%6,9952622.687548%22.687548%22.7%5,8672722.675936%22.675936%22.7%9,0352822.323115%22.323115%22.3%9,8092921.924087%21.924087%21.9%15,45115.5k3021.337060%21.337060%21.3%6,7953121.214789%21.214789%21.2%4,3383220.765653%20.765653%20.8%22,50022.5k3320.382533%20.382533%20.4%10,61410.6k3419.658914%19.658914%19.7%11,21611.2k3519.600039%19.600039%19.6%6,0573619.278497%19.278497%19.3%8,5293719.253428%19.253428%19.3%3,8893818.214407%18.214407%18.2%5,8943918.178844%18.178844%18.2%5,5564017.664300%17.664300%17.7%6,5694116.254641%16.254641%16.3%10,24410.2k4216.194570%16.194570%16.2%4,4084315.961259%15.961259%16.0%3,2964415.597702%15.597702%15.6%4,5894515.084662%15.084662%15.1%2,7354614.508202%14.508202%14.5%4,3694713.870744%13.870744%13.9%1,9964812.921553%12.921553%12.9%2,4794911.476995%11.476995%11.5%2,49250
Count number of people in category
# rank of county 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#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 County, selected other counties in Wisconsin, and entities that contain Kenosha County
0%2%4%6%Count#Dane CountyDaneOzaukee CountyOzaukeeLa Crosse CountyLa CrosseWaukesha CountyWaukeshaChicago, Naperville, and Elgin Metro AreaChicago AreaUnited States of AmericaUnited StatesDoor CountyDoorEau Claire CountyEau ClairePortage CountyPortageMilwaukee CountyMilwaukeeMidwestEast North CentralDunn CountyDunnWisconsinVilas CountyVilasSt. Croix CountySt. CroixOneida CountyOneidaWalworth CountyWalworthWood CountyWoodGrant CountyGrantMarathon CountyMarathonBrown CountyBrownWinnebago CountyWinnebagoIowa CountyIowaGreen CountyGreenBarron CountyBarronVernon CountyVernonOutagamie CountyOutagamieKenosha CountyKenoshaPierce CountyPierceSauk CountySaukColumbia CountyColumbiaJefferson CountyJeffersonWashington CountyWashingtonRacine CountyRacineRock CountyRockDouglas CountyDouglasChippewa CountyChippewaSheboygan CountySheboyganFond du Lac CountyFond du LacPolk CountyPolkMonroe CountyMonroeCalumet CountyCalumetMarinette CountyMarinetteDodge CountyDodgeShawano CountyShawanoLincoln CountyLincolnOconto CountyOcontoManitowoc CountyManitowocWaupaca CountyWaupacaJackson CountyJacksonJuneau CountyJuneauTrempealeau CountyTrempealeauWaushara CountyWausharaClark CountyClark6.978843%6.978843%7.0%23,50923.5k15.805973%5.805973%5.8%3,51924.130985%4.130985%4.1%3,06833.942743%3.942743%3.9%10,89110.9k43.767884%3.767884%3.8%239,674240k3.336158%3.336158%3.3%7,127,6737.13M3.143217%3.143217%3.1%67453.130498%3.130498%3.1%1,99363.030506%3.030506%3.0%1,35872.985811%2.985811%3.0%18,59118.6k82.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.786916%2.786916%2.8%75492.703886%2.703886%2.7%105,215105k2.644928%2.644928%2.6%438102.636720%2.636720%2.6%1,525112.631773%2.631773%2.6%714122.573032%2.573032%2.6%1,729132.536775%2.536775%2.5%1,321142.213779%2.213779%2.2%705152.197352%2.197352%2.2%2,038162.072008%2.072008%2.1%3,518172.028197%2.028197%2.0%2,296182.012169%2.012169%2.0%334191.956690%1.956690%2.0%506201.912914%1.912914%1.9%619211.907277%1.907277%1.9%390221.866494%1.866494%1.9%2,271231.856193%1.856193%1.9%2,051241.849752%1.849752%1.8%473251.847932%1.847932%1.8%812261.744303%1.744303%1.7%695271.735005%1.735005%1.7%991281.704973%1.704973%1.7%1,586291.651885%1.651885%1.7%2,181301.557885%1.557885%1.6%1,688311.549984%1.549984%1.5%476321.491829%1.491829%1.5%660331.476130%1.476130%1.5%1,179341.464349%1.464349%1.5%1,032351.459405%1.459405%1.5%451361.456009%1.456009%1.5%445371.390435%1.390435%1.4%462381.321644%1.321644%1.3%398391.304306%1.304306%1.3%822401.291594%1.291594%1.3%380411.099274%1.099274%1.1%227421.076454%1.076454%1.1%293431.074440%1.074440%1.1%613441.070238%1.070238%1.1%398451.063238%1.063238%1.1%153461.042481%1.042481%1.0%200470.955493%0.955493%1.0%193480.932105%0.932105%0.9%169490.801363%0.801363%0.8%17450
Count number of people in category
# rank of county 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#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 County, selected other counties in Wisconsin, and entities that contain Kenosha County
Female
Male
1x0x1xFM#LincolnGrantDoorWinnebagoTrempealeauPierceChippewaJacksonShawanoGreenMonroeManitowocOcontoJuneauWaupacaClarkDouglasRacineSaukIowaPolkWalworthColumbiaOutagamieOneidaVilasDunnKenoshaFond du LacDodgePortageBrownWoodWisconsinBarronCalumetMarathonRockDaneWausharaWaukeshaSheboyganMidwestWashingtonEast North CentralMilwaukeeUnited StatesVernonChicago AreaJeffersonEau ClaireMarinetteSt. CroixLa CrosseOzaukee-1.000000x-1.000000x1.701366x1.701366x1.70x7.198%7.20%12.247%12.2%1-1.000000x-1.000000x1.611247x1.611247x1.61x6.600%6.60%10.635%10.6%2-1.000000x-1.000000x1.599739x1.599739x1.60x4.927%4.93%7.882%7.88%3-1.000000x-1.000000x1.548094x1.548094x1.55x6.189%6.19%9.581%9.58%4-1.000000x-1.000000x1.543397x1.543397x1.54x8.305%8.31%12.818%12.8%5-1.000000x-1.000000x1.493476x1.493476x1.49x4.256%4.26%6.357%6.36%6-1.000000x-1.000000x1.457826x1.457826x1.46x6.371%6.37%9.288%9.29%7-1.000000x-1.000000x1.449841x1.449841x1.45x9.497%9.50%13.769%13.8%8-1.000000x-1.000000x1.432451x1.432451x1.43x7.710%7.71%11.044%11.0%9-1.000000x-1.000000x1.408297x1.408297x1.41x6.491%6.49%9.141%9.14%10-1.000000x-1.000000x1.405780x1.405780x1.41x8.136%8.14%11.438%11.4%11-1.000000x-1.000000x1.389119x1.389119x1.39x7.638%7.64%10.610%10.6%12-1.000000x-1.000000x1.374304x1.374304x1.37x8.070%8.07%11.091%11.1%13-1.000000x-1.000000x1.372407x1.372407x1.37x11.643%11.6%15.979%16.0%14-1.000000x-1.000000x1.345859x1.345859x1.35x7.796%7.80%10.492%10.5%15-1.000000x-1.000000x1.344554x1.344554x1.34x15.666%15.7%21.064%21.1%16-1.000000x-1.000000x1.343519x1.343519x1.34x5.497%5.50%7.385%7.39%17-1.000000x-1.000000x1.324710x1.324710x1.32x9.652%9.65%12.786%12.8%18-1.000000x-1.000000x1.317657x1.317657x1.32x7.885%7.89%10.390%10.4%19-1.000000x-1.000000x1.317393x1.317393x1.32x5.673%5.67%7.473%7.47%20-1.000000x-1.000000x1.317139x1.317139x1.32x6.222%6.22%8.196%8.20%21-1.000000x-1.000000x1.312179x1.312179x1.31x7.868%7.87%10.324%10.3%22-1.000000x-1.000000x1.312059x1.312059x1.31x6.240%6.24%8.187%8.19%23-1.000000x-1.000000x1.304911x1.304911x1.30x5.628%5.63%7.345%7.34%24-1.000000x-1.000000x1.304731x1.304731x1.30x6.919%6.92%9.027%9.03%25-1.000000x-1.000000x1.271978x1.271978x1.27x6.646%6.65%8.453%8.45%26-1.000000x-1.000000x1.264913x1.264913x1.26x6.297%6.30%7.965%7.96%27-1.000000x-1.000000x1.259401x1.259401x1.26x8.885%8.88%11.190%11.2%28-1.000000x-1.000000x1.243849x1.243849x1.24x7.537%7.54%9.375%9.37%29-1.000000x-1.000000x1.242121x1.242121x1.24x9.722%9.72%12.076%12.1%30-1.000000x-1.000000x1.236850x1.236850x1.24x6.069%6.07%7.506%7.51%31-1.000000x-1.000000x1.236680x1.236680x1.24x7.707%7.71%9.531%9.53%32-1.000000x-1.000000x1.235773x1.235773x1.24x6.872%6.87%8.492%8.49%33-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.205037x1.205037x1.21x9.154%9.15%11.030%11.0%34-1.000000x-1.000000x1.202432x1.202432x1.20x6.690%6.69%8.044%8.04%35-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%36-1.000000x-1.000000x1.191494x1.191494x1.19x9.696%9.70%11.553%11.6%37-1.000000x-1.000000x1.187155x1.187155x1.19x4.348%4.35%5.162%5.16%38-1.000000x-1.000000x1.183552x1.183552x1.18x12.548%12.5%14.851%14.9%39-1.000000x-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%40-1.000000x-1.000000x1.140135x1.140135x1.14x7.823%7.82%8.920%8.92%41-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127252x1.127252x1.13x5.716%5.72%6.443%6.44%42-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%43-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.106354x1.106354x1.11x11.340%11.3%12.546%12.5%44-1.000000x-1.000000x1.086510x1.086510x1.09x11.871%11.9%12.898%12.9%-1.000000x-1.000000x1.074639x1.074639x1.07x8.559%8.56%9.197%9.20%45-1.000000x-1.000000x1.070745x1.070745x1.07x6.639%6.64%7.109%7.11%46-1.000000x-1.000000x1.047262x1.047262x1.05x8.430%8.43%8.828%8.83%47-1.000000x-1.000000x1.019047x1.019047x1.02x4.203%4.20%4.283%4.28%48-1.003452x-1.003452x1.00x1.000000x1.000000x5.484%5.48%5.465%5.47%49-1.036965x-1.036965x1.04x1.000000x1.000000x3.715%3.71%3.582%3.58%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#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 County, selected other counties in Wisconsin, and entities that contain Kenosha County
Female
Male
1x0x1x2xFM#PortageJuneauOneidaWinnebagoSheboyganLincolnEau ClaireFond du LacPolkClarkSaukWaupacaOzaukeeWoodManitowocShawanoVilasSt. CroixWalworthMarinetteRockBrownDunnWaukeshaDouglasBarronCalumetJeffersonGrantLa CrosseRacineColumbiaEast North CentralMidwestWisconsinKenoshaUnited StatesGreenTrempealeauMilwaukeeMonroeWausharaChicago AreaDoorOutagamieMarathonDanePierceWashingtonVernonDodgeIowaOcontoChippewaJackson-1.000000x-1.000000x2.277540x2.277540x2.28x1.853%1.85%4.219%4.22%1-1.000000x-1.000000x2.264652x2.264652x2.26x0.623%0.62%1.412%1.41%2-1.000000x-1.000000x2.218029x2.218029x2.22x1.640%1.64%3.637%3.64%3-1.000000x-1.000000x2.174213x2.174213x2.17x1.275%1.28%2.773%2.77%4-1.000000x-1.000000x2.031853x2.031853x2.03x0.976%0.98%1.984%1.98%5-1.000000x-1.000000x2.023351x2.023351x2.02x0.729%0.73%1.476%1.48%6-1.000000x-1.000000x2.013470x2.013470x2.01x2.093%2.09%4.215%4.21%7-1.000000x-1.000000x1.953821x1.953821x1.95x1.002%1.00%1.957%1.96%8-1.000000x-1.000000x1.945823x1.945823x1.95x0.991%0.99%1.928%1.93%9-1.000000x-1.000000x1.933595x1.933595x1.93x0.546%0.55%1.055%1.06%10-1.000000x-1.000000x1.895621x1.895621x1.90x1.285%1.28%2.435%2.43%11-1.000000x-1.000000x1.880009x1.880009x1.88x0.743%0.74%1.397%1.40%12-1.000000x-1.000000x1.872688x1.872688x1.87x4.090%4.09%7.659%7.66%13-1.000000x-1.000000x1.814669x1.814669x1.81x1.818%1.82%3.299%3.30%14-1.000000x-1.000000x1.806143x1.806143x1.81x0.769%0.77%1.390%1.39%15-1.000000x-1.000000x1.801551x1.801551x1.80x0.924%0.92%1.665%1.66%16-1.000000x-1.000000x1.794571x1.794571x1.79x1.894%1.89%3.398%3.40%17-1.000000x-1.000000x1.774639x1.774639x1.77x1.907%1.91%3.384%3.38%18-1.000000x-1.000000x1.769950x1.769950x1.77x1.867%1.87%3.304%3.30%19-1.000000x-1.000000x1.739302x1.739302x1.74x0.967%0.97%1.683%1.68%20-1.000000x-1.000000x1.733327x1.733327x1.73x1.151%1.15%1.995%2.00%21-1.000000x-1.000000x1.733262x1.733262x1.73x1.524%1.52%2.641%2.64%22-1.000000x-1.000000x1.701002x1.701002x1.70x2.062%2.06%3.507%3.51%23-1.000000x-1.000000x1.695850x1.695850x1.70x2.951%2.95%5.005%5.00%24-1.000000x-1.000000x1.676561x1.676561x1.68x1.162%1.16%1.949%1.95%25-1.000000x-1.000000x1.674221x1.674221x1.67x1.435%1.44%2.403%2.40%26-1.000000x-1.000000x1.653118x1.653118x1.65x1.050%1.05%1.736%1.74%27-1.000000x-1.000000x1.652660x1.652660x1.65x1.313%1.31%2.170%2.17%28-1.000000x-1.000000x1.647269x1.647269x1.65x1.672%1.67%2.754%2.75%29-1.000000x-1.000000x1.645663x1.645663x1.65x3.144%3.14%5.174%5.17%30-1.000000x-1.000000x1.641913x1.641913x1.64x1.260%1.26%2.069%2.07%31-1.000000x-1.000000x1.632754x1.632754x1.63x1.321%1.32%2.157%2.16%32-1.000000x-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%33-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.519133x1.519133x1.52x1.560%1.56%2.370%2.37%34-1.000000x-1.000000x1.514826x1.514826x1.51x0.759%0.76%1.149%1.15%35-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%36-1.000000x-1.000000x1.489534x1.489534x1.49x1.169%1.17%1.741%1.74%37-1.000000x-1.000000x1.474810x1.474810x1.47x0.746%0.75%1.100%1.10%38-1.000000x-1.000000x1.466259x1.466259x1.47x3.080%3.08%4.516%4.52%-1.000000x-1.000000x1.464487x1.464487x1.46x2.563%2.56%3.754%3.75%39-1.000000x-1.000000x1.455713x1.455713x1.46x1.525%1.53%2.220%2.22%40-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%41-1.000000x-1.000000x1.404212x1.404212x1.40x5.827%5.83%8.182%8.18%42-1.000000x-1.000000x1.403843x1.403843x1.40x1.537%1.54%2.158%2.16%43-1.000000x-1.000000x1.374225x1.374225x1.37x1.441%1.44%1.980%1.98%44-1.000000x-1.000000x1.357719x1.357719x1.36x1.620%1.62%2.199%2.20%45-1.000000x-1.000000x1.235296x1.235296x1.24x1.161%1.16%1.434%1.43%46-1.000000x-1.000000x1.129194x1.129194x1.13x1.891%1.89%2.135%2.14%47-1.000000x-1.000000x1.084340x1.084340x1.08x1.032%1.03%1.119%1.12%48-1.000000x-1.000000x1.080157x1.080157x1.08x1.432%1.43%1.547%1.55%49-1.147189x-1.147189x1.15x1.000000x1.000000x1.142%1.14%0.995%1.00%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Educational Attainment by County in the United States

There are 3,142 counties in the United States. This section compares Kenosha County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Kenosha County. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Kenosha County, selected other counties in the United States, and entities that contain Kenosha County
0%10%20%Count#Bronx CountyBronxFresno CountyFresnoLos Angeles CountyLos AngelesDallas CountyDallasSan Bernardino CountySan BernardinoKings CountyKingsHarris CountyHarrisRiverside CountyRiversideMiami-Dade CountyMiami-DadeQueens CountyQueensPhiladelphia CountyPhiladelphiaBexar CountyBexarOrange CountyOrangeClark CountyClarkWayne CountyWayneTarrant CountyTarrantCook CountyCookSan Diego CountySan DiegoSacramento CountySacramentoMilwaukee CountyMilwaukeeMaricopa CountyMaricopaUnited States of AmericaUnited StatesNew York CountyNew YorkSanta Clara CountySanta ClaraAlameda CountyAlamedaWestchester CountyWestchesterChicago, Naperville, and Elgin Metro AreaChicago AreaOrange CountyOrangePima CountyPimaHillsborough CountyHillsboroughPalm Beach CountyPalm BeachTravis CountyTravisBroward CountyBrowardCuyahoga CountyCuyahogaContra Costa CountyContra CostaEast North CentralMecklenburg CountyMecklenburgMidwestSalt Lake CountySalt LakeFairfield CountyFairfieldKenosha CountyKenoshaSuffolk CountySuffolkFranklin CountyFranklinNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonWisconsinFairfax CountyFairfaxWake CountyWakeKing CountyKingMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny CountyAllegheny28.837398%28.837398%28.8%261,022261k126.224410%26.224410%26.2%151,875152k222.282470%22.282470%22.3%1,495,6171.50M321.975765%21.975765%22.0%349,434349k421.207718%21.207718%21.2%274,381274k520.017506%20.017506%20.0%351,046351k619.839074%19.839074%19.8%554,024554k719.521191%19.521191%19.5%286,746287k819.375775%19.375775%19.4%362,252362k919.344706%19.344706%19.3%315,505316k1017.390838%17.390838%17.4%180,039180k1116.576437%16.576437%16.6%194,124194k1215.490423%15.490423%15.5%325,372325k1315.108430%15.108430%15.1%210,261210k1414.881687%14.881687%14.9%173,869174k1514.774230%14.774230%14.8%182,543183k1614.189351%14.189351%14.2%503,252503k1713.598133%13.598133%13.6%293,959294k1813.220947%13.220947%13.2%129,386129k1913.092854%13.092854%13.1%81,52281.5k2013.051927%13.051927%13.1%348,801349k2113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2212.928824%12.928824%12.9%166,105166k2312.700590%12.700590%12.7%141,393141k2412.397264%12.397264%12.4%81,98182.0k2512.363193%12.363193%12.4%786,419786k12.319191%12.319191%12.3%101,664102k2612.252238%12.252238%12.3%81,21881.2k2712.196236%12.196236%12.2%108,416108k2812.054893%12.054893%12.1%122,162122k2911.841956%11.841956%11.8%90,92190.9k3011.688725%11.688725%11.7%152,462152k3111.473065%11.473065%11.5%100,034100k3210.940787%10.940787%10.9%82,37182.4k3310.719464%10.719464%10.7%3,363,7843.36M10.377895%10.377895%10.4%69,51069.5k3410.244520%10.244520%10.2%4,641,8354.64M10.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k3610.003168%10.003168%10.0%11,05311.1k9.992975%9.992975%10.0%102,414102k379.640656%9.640656%9.6%78,29978.3k389.121758%9.121758%9.1%85,26785.3k398.945780%8.945780%8.9%60,28460.3k408.836226%8.836226%8.8%62,20562.2k418.677323%8.677323%8.7%57,57157.6k428.637220%8.637220%8.6%336,096336k8.282040%8.282040%8.3%63,67163.7k437.696387%7.696387%7.7%50,50850.5k447.543133%7.543133%7.5%110,490110k457.360151%7.360151%7.4%80,37880.4k467.173605%7.173605%7.2%59,66059.7k477.049887%7.049887%7.0%48,46648.5k486.540987%6.540987%6.5%56,30256.3k496.132273%6.132273%6.1%53,97454.0k50
Count number of people in category
# rank of county 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#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Kenosha County, selected other counties in the United States, and entities that contain Kenosha County
0%20%40%60%Count#New York CountyNew YorkFairfax CountyFairfaxMontgomery CountyMontgomeryMiddlesex CountyMiddlesexWake CountyWakeFulton CountyFultonSanta Clara CountySanta ClaraKing CountyKingHennepin CountyHennepinWestchester CountyWestchesterTravis CountyTravisFairfield CountyFairfieldOakland CountyOaklandAlameda CountyAlamedaNassau CountyNassauMecklenburg CountyMecklenburgSt. Louis CountySt. LouisContra Costa CountyContra CostaAllegheny CountyAlleghenyOrange CountyOrangeFranklin CountyFranklinSan Diego CountySan DiegoCook CountyCookChicago, Naperville, and Elgin Metro AreaChicago AreaSuffolk CountySuffolkPalm Beach CountyPalm BeachKings CountyKingsHonolulu CountyHonoluluSalt Lake CountySalt LakeOrange CountyOrangeHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMidwestEast North CentralWisconsinMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaKenosha CountyKenoshaClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronx60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2336.061733%36.061733%36.1%2,293,8762.29M34.384794%34.384794%34.4%352,396352k2434.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.350646%33.350646%33.4%224,744225k2732.800693%32.800693%32.8%221,734222k2831.922850%31.922850%31.9%263,443263k2931.433296%31.433296%31.4%279,420279k3031.015731%31.015731%31.0%404,554405k3130.968863%30.968863%31.0%827,615828k3230.891280%30.891280%30.9%269,342269k3330.800609%30.800609%30.8%204,172204k3430.764105%30.764105%30.8%2,064,9112.06M3530.734653%30.734653%30.7%379,742380k3630.595789%30.595789%30.6%499,006499k3730.315023%30.315023%30.3%64,767,78764.8M30.076273%30.076273%30.1%839,907840k3829.748251%29.748251%29.7%185,226185k3929.683200%29.683200%29.7%471,989472k4029.283682%29.283682%29.3%286,583287k4128.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.349720%26.349720%26.3%272,786273k4424.646364%24.646364%24.6%27,23327.2k22.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k50
Count number of people in category
# rank of county 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#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 County, selected other counties in the United States, and entities that contain Kenosha County
0%5%10%Count#Montgomery CountyMontgomeryNew York CountyNew YorkMiddlesex CountyMiddlesexFairfax CountyFairfaxWestchester CountyWestchesterSanta Clara CountySanta ClaraNassau CountyNassauAlameda CountyAlamedaFulton CountyFultonKing CountyKingFairfield CountyFairfieldSt. Louis CountySt. LouisOakland CountyOaklandHennepin CountyHennepinTravis CountyTravisAllegheny CountyAlleghenyContra Costa CountyContra CostaWake CountyWakeSan Diego CountySan DiegoPalm Beach CountyPalm BeachOrange CountyOrangeFranklin CountyFranklinCook CountyCookCuyahoga CountyCuyahogaPima CountyPimaHonolulu CountyHonoluluSuffolk CountySuffolkMiami-Dade CountyMiami-DadeSalt Lake CountySalt LakeChicago, Naperville, and Elgin Metro AreaChicago AreaPhiladelphia CountyPhiladelphiaLos Angeles CountyLos AngelesMecklenburg CountyMecklenburgBroward CountyBrowardHillsborough CountyHillsboroughKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesSacramento CountySacramentoMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeMidwestEast North CentralBexar CountyBexarQueens CountyQueensWisconsinFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWayne CountyWayneKenosha CountyKenoshaSan Bernardino CountySan BernardinoBronx CountyBronx12.399695%12.399695%12.4%87,29187.3k110.788423%10.788423%10.8%133,520134k28.541485%8.541485%8.5%93,27993.3k37.784891%7.784891%7.8%59,84959.8k47.604460%7.604460%7.6%50,28750.3k56.177550%6.177550%6.2%79,36779.4k65.833659%5.833659%5.8%54,53154.5k75.762347%5.762347%5.8%64,15164.2k85.719518%5.719518%5.7%37,94737.9k95.673632%5.673632%5.7%83,10683.1k105.463614%5.463614%5.5%34,77034.8k115.244723%5.244723%5.2%36,05636.1k125.214131%5.214131%5.2%44,88144.9k135.193709%5.193709%5.2%43,19443.2k145.061951%5.061951%5.1%38,86538.9k155.039180%5.039180%5.0%44,35344.4k164.956168%4.956168%5.0%37,31437.3k174.892146%4.892146%4.9%32,10532.1k184.749001%4.749001%4.7%102,662103k194.475020%4.475020%4.5%45,34945.3k204.348784%4.348784%4.3%91,34591.3k214.335519%4.335519%4.3%35,21235.2k224.239617%4.239617%4.2%150,366150k234.184410%4.184410%4.2%36,48436.5k244.139192%4.139192%4.1%27,43827.4k253.970725%3.970725%4.0%26,75826.8k263.962200%3.962200%4.0%40,60740.6k273.784527%3.784527%3.8%70,75670.8k283.768025%3.768025%3.8%25,47225.5k293.767884%3.767884%3.8%239,674240k3.720350%3.720350%3.7%38,51538.5k303.604427%3.604427%3.6%241,932242k313.598297%3.598297%3.6%24,10124.1k323.517075%3.517075%3.5%45,87545.9k333.474402%3.474402%3.5%30,88530.9k343.384967%3.384967%3.4%59,36259.4k353.344637%3.344637%3.3%93,40293.4k363.336158%3.336158%3.3%7,127,6737.13M3.266254%3.266254%3.3%31,96532.0k373.113482%3.113482%3.1%83,20583.2k383.037379%3.037379%3.0%48,29748.3k392.990491%2.990491%3.0%24,67924.7k402.985811%2.985811%3.0%18,59118.6k412.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.818073%2.818073%2.8%33,00233.0k422.756960%2.756960%2.8%44,96545.0k432.703886%2.703886%2.7%105,215105k2.392530%2.392530%2.4%13,85613.9k442.368743%2.368743%2.4%29,26729.3k452.315475%2.315475%2.3%32,22432.2k462.260473%2.260473%2.3%33,20433.2k472.178386%2.178386%2.2%25,45125.5k481.856193%1.856193%1.9%2,0511.852789%1.852789%1.9%23,97124.0k491.664253%1.664253%1.7%15,06415.1k50
Count number of people in category
# rank of county 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#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 County, selected other counties in the United States, and entities that contain Kenosha County
Female
Male
1x0x1xFM#MecklenburgKenoshaPalm BeachWisconsinWakeWestchesterFairfieldContra CostaHillsboroughFresnoMidwestEast North CentralDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaChicago AreaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.259401x1.259401x1.26x8.885%8.88%11.190%11.2%-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.180227x1.180227x1.18x7.089%7.09%8.367%8.37%3-1.000000x-1.000000x1.161379x1.161379x1.16x11.523%11.5%13.383%13.4%4-1.000000x-1.000000x1.158198x1.158198x1.16x9.397%9.40%10.884%10.9%5-1.000000x-1.000000x1.145263x1.145263x1.15x10.231%10.2%11.718%11.7%6-1.000000x-1.000000x1.132218x1.132218x1.13x11.472%11.5%12.989%13.0%7-1.000000x-1.000000x1.130389x1.130389x1.13x24.647%24.6%27.860%27.9%8-1.000000x-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-1.000000x1.120951x1.120951x1.12x20.762%20.8%23.273%23.3%9-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%10-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%11-1.000000x-1.000000x1.109962x1.109962x1.11x14.154%14.2%15.710%15.7%12-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101852x1.101852x1.10x11.740%11.7%12.936%12.9%13-1.000000x-1.000000x1.098530x1.098530x1.10x18.925%18.9%20.790%20.8%14-1.000000x-1.000000x1.090368x1.090368x1.09x8.321%8.32%9.073%9.07%15-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%16-1.000000x-1.000000x1.086510x1.086510x1.09x11.871%11.9%12.898%12.9%-1.000000x-1.000000x1.084622x1.084622x1.08x20.369%20.4%22.092%22.1%17-1.000000x-1.000000x1.079174x1.079174x1.08x14.234%14.2%15.361%15.4%18-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%19-1.000000x-1.000000x1.072566x1.072566x1.07x12.608%12.6%13.523%13.5%20-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%21-1.000000x-1.000000x1.066137x1.066137x1.07x11.462%11.5%12.220%12.2%22-1.000000x-1.000000x1.065180x1.065180x1.07x11.337%11.3%12.076%12.1%23-1.000000x-1.000000x1.064463x1.064463x1.06x18.923%18.9%20.143%20.1%24-1.000000x-1.000000x1.062700x1.062700x1.06x6.352%6.35%6.750%6.75%25-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%26-1.000000x-1.000000x1.061606x1.061606x1.06x9.934%9.93%10.546%10.5%27-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%28-1.000000x-1.000000x1.056584x1.056584x1.06x12.873%12.9%13.601%13.6%29-1.000000x-1.000000x1.048432x1.048432x1.05x8.640%8.64%9.059%9.06%30-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%31-1.000000x-1.000000x1.025105x1.025105x1.03x7.273%7.27%7.455%7.46%32-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%33-1.000000x-1.000000x1.016052x1.016052x1.02x8.218%8.22%8.350%8.35%34-1.000000x-1.000000x1.009187x1.009187x1.01x16.504%16.5%16.655%16.7%35-1.000000x-1.000000x1.001235x1.001235x1.00x12.245%12.2%12.260%12.3%36-1.004399x-1.004399x1.00x1.000000x1.000000x7.560%7.56%7.526%7.53%37-1.004399x-1.004399x1.00x1.000000x1.000000x22.330%22.3%22.232%22.2%38-1.008231x-1.008231x1.01x1.000000x1.000000x15.170%15.2%15.046%15.0%39-1.015422x-1.015422x1.02x1.000000x1.000000x15.605%15.6%15.368%15.4%40-1.015859x-1.015859x1.02x1.000000x1.000000x7.101%7.10%6.990%6.99%41-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%42-1.022059x-1.022059x1.02x1.000000x1.000000x19.576%19.6%19.154%19.2%43-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%44-1.029280x-1.029280x1.03x1.000000x1.000000x12.877%12.9%12.511%12.5%45-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%46-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%47-1.097207x-1.097207x1.10x1.000000x1.000000x14.217%14.2%12.958%13.0%48-1.110312x-1.110312x1.11x1.000000x1.000000x13.602%13.6%12.250%12.3%49-1.156494x-1.156494x1.16x1.000000x1.000000x9.584%9.58%8.287%8.29%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#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 County, selected other counties in the United States, and entities that contain Kenosha County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldEast North CentralAlleghenyMidwestNassauWisconsinBrowardClarkFranklinMecklenburgFairfaxWayneKenoshaUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoOrangeFresnoHillsboroughChicago AreaHarrisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%11-1.000000x-1.000000x1.619416x1.619416x1.62x1.734%1.73%2.808%2.81%12-1.000000x-1.000000x1.609547x1.609547x1.61x2.346%2.35%3.776%3.78%13-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%14-1.000000x-1.000000x1.602206x1.602206x1.60x1.838%1.84%2.945%2.95%15-1.000000x-1.000000x1.600562x1.600562x1.60x4.251%4.25%6.804%6.80%16-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.566566x1.566566x1.57x2.842%2.84%4.452%4.45%22-1.000000x-1.000000x1.562801x1.562801x1.56x6.111%6.11%9.551%9.55%23-1.000000x-1.000000x1.545600x1.545600x1.55x1.736%1.74%2.683%2.68%24-1.000000x-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-1.000000x1.513974x1.513974x1.51x4.919%4.92%7.447%7.45%25-1.000000x-1.000000x1.510882x1.510882x1.51x4.604%4.60%6.956%6.96%26-1.000000x-1.000000x1.494007x1.494007x1.49x4.011%4.01%5.992%5.99%27-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%28-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.466259x1.466259x1.47x3.080%3.08%4.516%4.52%-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%3.16%4.473%4.47%34-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%35-1.000000x-1.000000x1.407975x1.407975x1.41x4.203%4.20%5.918%5.92%36-1.000000x-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

Cities:
Kenosha
Towns:
Brighton, Paris, Randall, Salem, Somers, Wheatland
Unincorporated Places:
Camp Lake, Lily Lake, Powers Lake, Wilmot
Villages:
Bristol, Genoa City, Paddock Lake, Pleasant Prairie, Silver Lake, Somers, Twin Lakes
ZIP Codes:
53104, 53105, 53128, 53139, 53140, 53142, 53143, 53144, 53158, 53168, 53170, 53177, 53179, 53181, 53182, 53192, 53403
Unified School District:
Kenosha
Elementary School Districts:
Brighton No. 1, Bristol No. 1, Paris Joint No. 1, Randall Joint No. 1, Salem, Silver Lake Joint No. 1, Trevor-Wilmot, Twin Lakes No. 4, Union Grove Joint No. 1, Wheatland Joint No. 1
Secondary School Districts:
Union Grove, Westosha, Wilmot
Congressional District:
WI-1
State Senate Districts:
WI-11, WI-21, WI-22
Assembly Districts:
WI-32, WI-61, WI-64, WI-65
Neighboring Counties:
Allegan, Lake, McHenry, Racine, Walworth
Nearby Counties:
Cook, DuPage, Milwaukee, Muskegon, Ottawa, Ozaukee, Waukesha