Educational Attainment in Congressional District 4, Wisconsin (Congressional District)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wisconsin and Congressional District 4
Congressional District 4
Wisconsin
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma234.268350%38.686675%34.268350%34.3%153,649154k50.198943%52.676105%50.198943%50.2%225,077225k15.532707%8.637220%15.532707%15.5%69,64469.6k
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 Congressional District 4
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-11.420792%-11.420792%-11.4%34.268%34.3%38.687%38.7%-4.702630%-4.702630%-4.7%50.199%50.2%52.676%52.7%79.834567%79.834567%+79.8%15.533%15.5%8.637%8.64%
% percentage with given level in Congressional District 4
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 Congressional District 4
Congressional District 4
Wisconsin
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.114704%1.094506%1.114704%1.1%4,9981.714432%1.609379%1.714432%1.7%7,6877.007159%6.922399%7.007159%7.0%31,41831.4k17.283494%18.747154%17.283494%17.3%77,49477.5k7.148560%10.313236%7.148560%7.1%32,05232.1k21.868769%20.983992%21.868769%21.9%98,05398.1k28.330174%31.692113%28.330174%28.3%127,024127k9.983942%5.657202%9.983942%10.0%44,76544.8k3.784375%2.130908%3.784375%3.8%16,96817.0k1.764391%0.849110%1.764391%1.8%7,911
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 Congressional District 4
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.845401%1.845401%+1.8%1.115%1.11%1.095%1.09%6.527553%6.527553%+6.5%1.714%1.71%1.609%1.61%1.224431%1.224431%+1.2%7.007%7.01%6.922%6.92%-7.807374%-7.807374%-7.8%17.283%17.3%18.747%18.7%-30.685574%-30.685574%-30.7%7.149%7.15%10.313%10.3%4.216439%4.216439%+4.2%21.869%21.9%20.984%21.0%-10.608127%-10.608127%-10.6%28.330%28.3%31.692%31.7%76.481964%76.481964%+76.5%9.984%9.98%5.657%5.66%77.594458%77.594458%+77.6%3.784%3.78%2.131%2.13%107.793047%107.793047%+107.8%1.764%1.76%0.849%0.85%
% percentage with given level in Congressional District 4
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 Congressional District 4
More Females More Males
Wisconsin
Congressional District 4
0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-8.618004%-9.820753%-8.618004%9%35.594%35.6%32.769%32.8%2.381852%3.687318%2.381852%2%49.644%49.6%50.827%50.8%11.120355%21.929118%11.120355%11%14.762%14.8%16.404%16.4%
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 Wisconsin and Congressional District 4
More Females More Males
Wisconsin
Congressional District 4
20%0%20%40%60%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None37.136252%49.112245%37.136252%37%0.949%0.95%1.302%1.30%60.387255%63.725126%60.387255%60%1.336%1.34%2.143%2.14%-31.174976%-26.714257%-31.174976%31%7.887%7.89%6.012%6.01%-8.289494%-10.314398%-8.289494%8%17.927%17.9%16.555%16.6%-10.900570%-14.230343%-10.900570%11%7.494%7.49%6.758%6.76%-6.353249%-1.828461%-6.353249%6%22.499%22.5%21.155%21.2%9.307578%7.484254%9.307578%9%27.145%27.1%29.671%29.7%12.032374%27.756322%12.032374%12%9.450%9.45%10.587%10.6%15.910957%11.346432%15.910957%16%3.521%3.52%4.082%4.08%-3.214852%-3.214852%3%12.366663%1.791%1.79%1.735%1.73%
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 Congressional District 4
Congressional District 4
Wisconsin
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3412.110364%12.755764%12.110364%12.1%9,37177,38077.4k14.702826%17.674080%14.702826%14.7%24,33724.3k165,526166k17.910515%22.171538%17.910515%17.9%16,01216.0k89,40089.4k23.929901%25.037795%23.929901%23.9%27,77427.8k116,064116k
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 Congressional District 4
15%10%5%0%%ref.65+45-6435-4425-34-5.059672%-5.059672%5.1%12.110%12.1%12.756%12.8%-16.811365%-16.811365%16.8%14.703%14.7%17.674%17.7%-19.218438%-19.218438%19.2%17.911%17.9%22.172%22.2%-4.424889%-4.424889%4.4%23.930%23.9%25.038%25.0%
% percentage in Congressional District 4 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 Congressional District 4
More Females More Males
Wisconsin
Congressional District 4
20%10%0%10%FM65+45-6435-4425-346.942360%15.252186%6.942360%6.9%11.770%11.8%12.587%12.6%-12.894502%-8.291196%-12.894502%12.9%15.558%15.6%13.781%13.8%-12.763276%-22.719305%-12.763276%12.8%18.935%18.9%16.792%16.8%-11.059504%-29.514910%-11.059504%11.1%25.132%25.1%22.630%22.6%
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 Congressional District 4
Congressional District 4
Wisconsin
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$60,635.000000$61,842.000000$60,635.000000$60.6k44,10344.1k9.836%9.84%$44,639.000000$48,286.000000$44,639.000000$44.6k77,49477.5k17.283%17.3%$29,580.000000$34,771.000000$29,580.000000$29.6k130,105130k29.017%29.0%$25,888.000000$30,475.000000$25,888.000000$25.9k127,024127k28.330%28.3%$20,446.000000$22,317.000000$20,446.000000$20.4k69,64469.6k15.533%15.5%$31,963.000000$36,855.000000$31,963.000000$32.0k448,370448k100.000%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 Congressional District 4
Female Male
Wisconsin
Congressional District 4
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-54,737.000000$-55,037.000000$-54,737.000000$54.7k$54,737.000000$12,558.000000$55,037.000000$18,141.000000$67,295.000000$67.3k24,20624.2k19,89719.9k$-41,128.000000$-40,915.000000$-41,128.000000$41.1k$41,128.000000$9,379.000000$40,915.000000$18,355.000000$50,507.000000$50.5k42,66242.7k34,83234.8k$-26,408.000000$-28,362.000000$-26,408.000000$26.4k$26,408.000000$8,741.000000$28,362.000000$14,055.000000$35,149.000000$35.1k71,37671.4k58,72958.7k$-22,368.000000$-23,872.000000$-22,368.000000$22.4k$22,368.000000$7,341.000000$23,872.000000$12,519.000000$29,709.000000$29.7k64,59664.6k62,42862.4k$-16,591.000000$-16,775.000000$-16,591.000000$16.6k$16,591.000000$6,338.000000$16,775.000000$9,472.000000$22,929.000000$22.9k35,13035.1k34,51434.5k$-29,490.000000$-30,829.000000$-29,490.000000$29.5k$29,490.000000$6,717.000000$30,829.000000$12,328.000000$36,207.000000$36.2k237,970238k210,400210k
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 Congressional District 4
Congressional District 4
Wisconsin
0%20%40%60%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma320.370370%32.763533%20.370370%20.4%2279.629630%54.226021%79.629630%79.6%860.000000%0.000000%0.0%12.203229%00.000000%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 Congressional District 4
Congressional District 4
Wisconsin
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.448759%85.899471%86.448759%86.4%90,29490.3k72.821356%79.335494%72.821356%72.8%81,97582.0k64.258442%73.240943%64.258442%64.3%64,96465.0k47.026894%53.971506%47.026894%47.0%24,86524.9k
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 Congressional District 4
Female Male
Wisconsin
Congressional District 4
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackAsianHispanic2Other1-6.643201%-5.697819%-6.643201%6.6%6.643201%0.430265%5.697819%1.469036%7.073466%7.1%7,9007,908-18.159207%-17.429079%-18.159207%18.2%18.159207%2.585529%17.429079%2.936718%20.744736%20.7%12,00012.0k14,16414.2k-19.048975%-9.008860%-14.441272%-4.641233%-28.057835%28.1%19.048975%14.441272%19.048975%19.0%1,3382,154-36.361096%-31.307944%-36.361096%36.4%36.361096%5.844724%31.307944%5.178771%42.205820%42.2%12,92312.9k10,40810.4k-31.066545%-22.693686%-31.066545%31.1%31.066545%7.643913%22.693686%3.979967%38.710458%38.7%6,4005,112
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 Congressional District 4
Female Male
Wisconsin
Congressional District 4
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-38.415186%-2.242078%-28.711494%-2.079187%-40.657264%40.7%38.415186%28.711494%38.415186%38.4%42,90442.9k48,39848.4k-10.301490%-4.073053%-11.717867%-3.588054%-14.374543%14.4%10.301490%11.717867%10.301490%10.3%5,95911,21211.2k-34.570796%-44.377167%-34.570796%34.6%34.570796%3.028862%44.377167%4.100638%37.599658%37.6%2,6412,654-7.459421%-4.355839%-10.433533%-4.583778%-11.815260%11.8%7.459421%10.433533%7.459421%7.5%2,2843,382-9.822779%-4.525444%-13.316792%-4.610459%-14.348222%14.3%9.822779%13.316792%9.822779%9.8%1,6242,361
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 in Congressional District 4

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

Percentage of the population 25 years and older with given highest level of educational attainment
37.4%40.2%43.0%45.7%48.5%51.3%

Coarse: High School Diploma Educational Attainment by County#17

Percentage of the population 25 years and older with given highest level of educational attainment
44.6%45.6%46.6%47.5%48.5%49.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4.1%5.9%7.7%9.5%11.3%13.1%

Detailed: Doctorate Degree Educational Attainment by County#19

Percentage of the population 25 years and older with given highest level of educational attainment
1.164%1.187%1.210%1.233%1.256%1.280%

Detailed: Professional Degree Educational Attainment by County#20

Percentage of the population 25 years and older with given highest level of educational attainment
1.82%1.99%2.16%2.33%2.50%2.67%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.5%8.1%8.7%9.2%9.8%10.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
19.2%20.8%22.5%24.1%25.7%27.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.71%8.10%8.48%8.86%9.24%9.63%

Detailed: Some College Educational Attainment by County#24

Percentage of the population 25 years and older with given highest level of educational attainment
20.46%20.67%20.89%21.10%21.31%21.53%

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

Percentage of the population 25 years and older with given highest level of educational attainment
24.1%24.9%25.7%26.4%27.2%28.0%

Detailed: Some High School Educational Attainment by County#26

Percentage of the population 25 years and older with given highest level of educational attainment
2.6%3.8%5.0%6.2%7.3%8.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.14%1.54%1.93%2.33%2.72%3.12%

Detailed: None Educational Attainment by County#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.29%0.53%0.77%1.01%1.25%1.49%
Road Data ©OpenStreetMap

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Map of Educational Attainment by County Subdivision in Congressional District 4

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#29

Percentage of the population 25 years and older with given highest level of educational attainment
29%40%50%60%70%81%

Coarse: High School Diploma Educational Attainment by County Subdivision#30

Percentage of the population 25 years and older with given highest level of educational attainment
17%26%35%43%51%60%

Coarse: No High School Diploma Educational Attainment by County Subdivision#31

Percentage of the population 25 years and older with given highest level of educational attainment
1.9%5.6%9.3%12.9%16.5%20.2%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.2%1.7%3.1%4.6%6.0%7.5%

Detailed: Professional Degree Educational Attainment by County Subdivision#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.6%3.0%5.4%7.8%10.2%12.6%

Detailed: Master's Degree Educational Attainment by County Subdivision#34

Percentage of the population 25 years and older with given highest level of educational attainment
3.0%6.5%10.0%13.5%17.0%20.6%

Detailed: Bachelor's Degree Educational Attainment by County Subdivision#35

Percentage of the population 25 years and older with given highest level of educational attainment
14%20%25%30%35%40%

Detailed: Associate's Degree Educational Attainment by County Subdivision#36

Percentage of the population 25 years and older with given highest level of educational attainment
2.0%3.9%5.6%7.4%9.2%11.0%

Detailed: Some College Educational Attainment by County Subdivision#37

Percentage of the population 25 years and older with given highest level of educational attainment
11.5%14.4%17.3%20.2%23.1%26.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6%12%18%24%30%36%

Detailed: Some High School Educational Attainment by County Subdivision#39

Percentage of the population 25 years and older with given highest level of educational attainment
0.3%3.6%6.8%10.0%13.2%16.5%

Detailed: Less than High School Educational Attainment by County Subdivision#40

Percentage of the population 25 years and older with given highest level of educational attainment
0.2%1.0%1.9%2.7%3.5%4.4%

Detailed: None Educational Attainment by County Subdivision#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.18%0.60%1.01%1.42%1.83%2.25%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Congressional District 4

Coarse: Post-Secondary Degree Educational Attainment by Tract#42

Percentage of the population 25 years and older with given highest level of educational attainment
1%19%36%53%70%88%

Coarse: High School Diploma Educational Attainment by Tract#43

Percentage of the population 25 years and older with given highest level of educational attainment
11%25%38%51%64%77%

Coarse: No High School Diploma Educational Attainment by Tract#44

Percentage of the population 25 years and older with given highest level of educational attainment
0%12%23%35%46%58%

Detailed: Doctorate Degree Educational Attainment by Tract#45

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.6%5.3%7.9%10.6%13.2%

Detailed: Professional Degree Educational Attainment by Tract#46

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.7%7.4%11.1%14.8%18.6%

Detailed: Master's Degree Educational Attainment by Tract#47

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.7%9.3%14.0%18.6%23.3%

Detailed: Bachelor's Degree Educational Attainment by Tract#48

Percentage of the population 25 years and older with given highest level of educational attainment
0%10%19%29%38%48%

Detailed: Associate's Degree Educational Attainment by Tract#49

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.6%7.1%10.7%14.3%17.9%

Detailed: Some College Educational Attainment by Tract#50

Percentage of the population 25 years and older with given highest level of educational attainment
6%13%19%26%32%39%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#51

Percentage of the population 25 years and older with given highest level of educational attainment
3%13%22%31%39%49%

Detailed: Some High School Educational Attainment by Tract#52

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%13%19%26%33%

Detailed: Less than High School Educational Attainment by Tract#53

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%11%17%22%28%

Detailed: None Educational Attainment by Tract#54

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%12%18%24%30%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Congressional District 4

There are 11 places that are fully or partially contained within Congressional District 4 (9 fully and 2 partially). This section compares all 11 of those to each other, Congressional District 4, and other entities that contain or substantially overlap with Congressional District 4.

No H.S. Diploma by Place#55

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Congressional District 4, selected places in Congressional District 4, and entities that contain Congressional District 4
0%5%10%15%20%Count#West MilwaukeeW MilwaukeeMilwaukeeCongressional District 4WI-4Milwaukee CountyMilwaukeeUnited States of AmericaUnited StatesSt. FrancisCudahyEast North CentralMidwestMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSouth MilwaukeeS MilwaukeeWisconsinBrown DeerGlendaleBaysideShorewoodWhitefish BayFox Point20.198675%20.198675%20.2%549117.485105%17.485105%17.5%63,80063.8k215.532707%15.532707%15.5%69,64469.6k13.092854%13.092854%13.1%81,52281.5k13.020590%13.020590%13.0%27,818,38027.8M11.382006%11.382006%11.4%859311.082337%11.082337%11.1%1,455410.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M9.572772%9.572772%9.6%100,754101k9.190270%9.190270%9.2%1,37958.637220%8.637220%8.6%336,096336k6.204545%6.204545%6.2%54664.601195%4.601195%4.6%43973.021978%3.021978%3.0%9982.374614%2.374614%2.4%22392.149733%2.149733%2.1%201101.951017%1.951017%2.0%9411
Count number of people in category
# rank of place out of 11 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#56

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Congressional District 4, selected places in Congressional District 4, and entities that contain Congressional District 4
0%20%40%60%Count#Fox PointWhitefish BayBaysideShorewoodGlendaleBrown DeerMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesMilwaukee CountyMilwaukeeSt. FrancisMidwestEast North CentralWisconsinCongressional District 4WI-4MilwaukeeCudahySouth MilwaukeeS MilwaukeeWest MilwaukeeW Milwaukee76.587796%76.587796%76.6%3,690172.160428%72.160428%72.2%6,747270.238095%70.238095%70.2%2,301367.511447%67.511447%67.5%6,340451.200084%51.200084%51.2%4,885537.045455%37.045455%37.0%3,260633.810164%33.810164%33.8%355,854356k30.315023%30.315023%30.3%64,767,78764.8M29.748251%29.748251%29.7%185,226185k29.177156%29.177156%29.2%2,202728.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.119789%27.119789%27.1%121,597122k23.517740%23.517740%23.5%85,81285.8k821.471552%21.471552%21.5%2,819920.519827%20.519827%20.5%3,0791019.131714%19.131714%19.1%52011
Count number of people in category
# rank of place out of 11 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#57

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Congressional District 4, selected places in Congressional District 4, and entities that contain Congressional District 4
0%5%10%15%Count#Fox PointShorewoodBaysideWhitefish BayGlendaleUnited States of AmericaUnited StatesBrown DeerMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMilwaukee CountyMilwaukeeMidwestEast North CentralCongressional District 4WI-4St. FrancisWisconsinMilwaukeeWest MilwaukeeW MilwaukeeCudahySouth MilwaukeeS Milwaukee19.966791%19.966791%20.0%962113.736556%13.736556%13.7%1,290212.148962%12.148962%12.1%398312.064171%12.064171%12.1%1,12846.435384%6.435384%6.4%61453.336158%3.336158%3.3%7,127,6737.13M3.329545%3.329545%3.3%29363.286157%3.286157%3.3%34,58734.6k2.985811%2.985811%3.0%18,59118.6k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.829137%2.829137%2.8%12,68512.7k2.756062%2.756062%2.8%20872.703886%2.703886%2.7%105,215105k2.043126%2.043126%2.0%7,45581.434879%1.434879%1.4%3991.302460%1.302460%1.3%171100.893036%0.893036%0.9%13411
Count number of people in category
# rank of place out of 11 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#58

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 Congressional District 4, selected places in Congressional District 4, and entities that contain Congressional District 4
Female
Male
2x1x0x1xFM#W MilwaukeeBrown DeerWhitefish BayWisconsinMidwestEast North CentralMilwaukeeWI-4MilwaukeeUnited StatesMilwaukeeGlendaleS MilwaukeeCudahySt. FrancisFox PointShorewoodBayside-1.000000x-1.000000x1.722885x1.722885x1.72x14.842%14.8%25.571%25.6%1-1.000000x-1.000000x1.321858x1.321858x1.32x5.408%5.41%7.148%7.15%2-1.000000x-1.000000x1.284172x1.284172x1.28x1.899%1.90%2.438%2.44%3-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%4-1.000000x-1.000000x1.111204x1.111204x1.11x14.762%14.8%16.404%16.4%-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.046921x1.046921x1.05x4.505%4.51%4.717%4.72%5-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%6-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%7-1.204832x-1.204832x1.20x1.000000x1.000000x12.389%12.4%10.283%10.3%8-1.271644x-1.271644x1.27x1.000000x1.000000x2.177%2.18%1.712%1.71%9-1.992381x-1.992381x1.99x1.000000x1.000000x3.093%3.09%1.553%1.55%10-2.265252x-2.265252x2.27x1.000000x1.000000x4.142%4.14%1.828%1.83%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

Over-Education Sex Ratio by Place#59

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 Congressional District 4, selected places in Congressional District 4, and entities that contain Congressional District 4
Female
Male
2x0x2xFM#BaysideCudahyBrown DeerWhitefish BayShorewoodEast North CentralMidwestMilwaukeeWisconsinFox PointUnited StatesWI-4GlendaleMilwaukeeS MilwaukeeMilwaukeeSt. FrancisW Milwaukee-1.000000x-1.000000x3.594848x3.594848x3.59x5.385%5.38%19.357%19.4%1-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%2-1.000000x-1.000000x2.430005x2.430005x2.43x2.012%2.01%4.890%4.89%3-1.000000x-1.000000x1.708618x1.708618x1.71x9.075%9.07%15.505%15.5%4-1.000000x-1.000000x1.656396x1.656396x1.66x10.517%10.5%17.420%17.4%5-1.000000x-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-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.570537x1.570537x1.57x15.639%15.6%24.561%24.6%6-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.507286x1.507286x1.51x2.285%2.29%3.444%3.44%-1.000000x-1.000000x1.496511x1.496511x1.50x5.253%5.25%7.861%7.86%7-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%8-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%9-1.000000x-1.000000x1.350002x1.350002x1.35x2.361%2.36%3.187%3.19%10-2.891477x-2.891477x2.89x1.000000x1.000000x2.131%2.13%0.737%0.74%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 Metro Area in Congressional District 4

There is 1 metro area that are fully or partially contained within Congressional District 4 (0 fully and 1 partially). This section compares all 1 of those to each other, Congressional District 4, and other entities that contain or substantially overlap with Congressional District 4.

No H.S. Diploma by Metro Area#60

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Congressional District 4, selected metro areas in Congressional District 4, and entities that contain Congressional District 4
0%5%10%15%Count#Congressional District 4WI-4Milwaukee CountyMilwaukeeUnited States of AmericaUnited StatesEast North CentralMidwestMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeWisconsin15.532707%15.532707%15.5%69,64469.6k13.092854%13.092854%13.1%81,52281.5k13.020590%13.020590%13.0%27,818,38027.8M10.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M9.572772%9.572772%9.6%100,754101k8.637220%8.637220%8.6%336,096336k
Count number of people in category
# rank of metro area out of 1 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Metro Area#61

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Congressional District 4, selected metro areas in Congressional District 4, and entities that contain Congressional District 4
0%10%20%30%Count#Milwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesMilwaukee CountyMilwaukeeMidwestEast North CentralWisconsinCongressional District 4WI-433.810164%33.810164%33.8%355,854356k30.315023%30.315023%30.3%64,767,78764.8M29.748251%29.748251%29.7%185,226185k28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.119789%27.119789%27.1%121,597122k
Count number of people in category
# rank of metro area out of 1 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Metro Area#62

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Congressional District 4, selected metro areas in Congressional District 4, and entities that contain Congressional District 4
0%1%2%3%Count#United States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMilwaukee CountyMilwaukeeMidwestEast North CentralCongressional District 4WI-4Wisconsin3.336158%3.336158%3.3%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k2.985811%2.985811%3.0%18,59118.6k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.829137%2.829137%2.8%12,68512.7k2.703886%2.703886%2.7%105,215105k
Count number of people in category
# rank of metro area out of 1 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by Metro Area#63

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 Congressional District 4, selected metro areas in Congressional District 4, and entities that contain Congressional District 4
Female
Male
1.0x0.5x0.0x0.5x1.0xFM#WisconsinMidwestEast North CentralWI-4MilwaukeeUnited StatesMilwaukee-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.111204x1.111204x1.11x14.762%14.8%16.404%16.4%-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%
F percentage of females in category
M percentage of males in category
# rank of metro area out of 1 by male-to-female sex ratio

Over-Education Sex Ratio by Metro Area#64

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 Congressional District 4, selected metro areas in Congressional District 4, and entities that contain Congressional District 4
Female
Male
1x0x1xFM#East North CentralMidwestMilwaukeeWisconsinUnited StatesWI-4Milwaukee-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-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.507286x1.507286x1.51x2.285%2.29%3.444%3.44%-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%
F percentage of females in category
M percentage of males in category
# rank of metro area out of 1 by male-to-female sex ratio

Educational Attainment by County in Congressional District 4

There are 2 counties that are fully or partially contained within Congressional District 4 (0 fully and 2 partially). This section compares all 2 of those to each other, Congressional District 4, and other entities that contain or substantially overlap with Congressional District 4.

No H.S. Diploma by County#65

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Congressional District 4, selected counties in Congressional District 4, and entities that contain Congressional District 4
0%5%10%15%Count#Congressional District 4WI-4Milwaukee CountyMilwaukeeUnited States of AmericaUnited StatesEast North CentralMidwestMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeWisconsinWaukesha CountyWaukesha15.532707%15.532707%15.5%69,64469.6k13.092854%13.092854%13.1%81,52281.5k13.020590%13.020590%13.0%27,818,38027.8M10.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M9.572772%9.572772%9.6%100,754101k8.637220%8.637220%8.6%336,096336k4.116150%4.116150%4.1%11,37011.4k2
Count number of people in category
# rank of county out of 2 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#66

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Congressional District 4, selected counties in Congressional District 4, and entities that contain Congressional District 4
0%10%20%30%40%Count#Waukesha CountyWaukeshaMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesMilwaukee CountyMilwaukeeMidwestEast North CentralWisconsinCongressional District 4WI-441.623436%41.623436%41.6%114,976115k133.810164%33.810164%33.8%355,854356k30.315023%30.315023%30.3%64,767,78764.8M29.748251%29.748251%29.7%185,226185k28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.119789%27.119789%27.1%121,597122k
Count number of people in category
# rank of county out of 2 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#67

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Congressional District 4, selected counties in Congressional District 4, and entities that contain Congressional District 4
0%1%2%3%Count#Waukesha CountyWaukeshaUnited States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMilwaukee CountyMilwaukeeMidwestEast North CentralCongressional District 4WI-4Wisconsin3.942743%3.942743%3.9%10,89110.9k13.336158%3.336158%3.3%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k2.985811%2.985811%3.0%18,59118.6k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.829137%2.829137%2.8%12,68512.7k2.703886%2.703886%2.7%105,215105k
Count number of people in category
# rank of county out of 2 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#68

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 Congressional District 4, selected counties in Congressional District 4, and entities that contain Congressional District 4
Female
Male
1.0x0.5x0.0x0.5x1.0xFM#WisconsinWaukeshaMidwestEast North CentralWI-4MilwaukeeUnited StatesMilwaukee-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%1-1.000000x-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-1.000000x1.111204x1.111204x1.11x14.762%14.8%16.404%16.4%-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%
F percentage of females in category
M percentage of males in category
# rank of county out of 2 by male-to-female sex ratio

Over-Education Sex Ratio by County#69

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 Congressional District 4, selected counties in Congressional District 4, and entities that contain Congressional District 4
Female
Male
1x0x1xFM#WaukeshaEast North CentralMidwestMilwaukeeWisconsinUnited StatesWI-4Milwaukee-1.000000x-1.000000x1.695850x1.695850x1.70x2.951%2.95%5.005%5.00%1-1.000000x-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-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.507286x1.507286x1.51x2.285%2.29%3.444%3.44%-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%
F percentage of females in category
M percentage of males in category
# rank of county out of 2 by male-to-female sex ratio

Educational Attainment by County Subdivision in Congressional District 4

There are 13 county subdivisions that are fully or partially contained within Congressional District 4 (12 fully and 1 partially). This section compares all 13 of those to each other, Congressional District 4, and other entities that contain or substantially overlap with Congressional District 4.

No H.S. Diploma by County Subdivision#70

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Congressional District 4, selected county subdivisions in Congressional District 4, and entities that contain Congressional District 4
0%5%10%15%20%Count#West MilwaukeeW MilwaukeeMilwaukeeCongressional District 4WI-4Milwaukee CountyMilwaukeeUnited States of AmericaUnited StatesSt. FrancisCudahyEast North CentralMidwestMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSouth MilwaukeeS MilwaukeeWisconsinBrown DeerGlendaleBaysideShorewoodWhitefish BayFox Point20.198675%20.198675%20.2%549117.485105%17.485105%17.5%63,80063.8k215.532707%15.532707%15.5%69,64469.6k13.092854%13.092854%13.1%81,52281.5k13.020590%13.020590%13.0%27,818,38027.8M11.382006%11.382006%11.4%859311.082337%11.082337%11.1%1,455410.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M9.572772%9.572772%9.6%100,754101k9.190270%9.190270%9.2%1,37958.637220%8.637220%8.6%336,096336k6.204545%6.204545%6.2%54664.601195%4.601195%4.6%43973.045217%3.045217%3.0%9982.374614%2.374614%2.4%22392.149733%2.149733%2.1%201101.951017%1.951017%2.0%9411
Count number of people in category
# rank of county subdivision out of 11 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#71

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Congressional District 4, selected county subdivisions in Congressional District 4, and entities that contain Congressional District 4
0%20%40%60%Count#Fox PointWhitefish BayBaysideShorewoodGlendaleBrown DeerMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesMilwaukee CountyMilwaukeeSt. FrancisMidwestEast North CentralWisconsinCongressional District 4WI-4MilwaukeeCudahySouth MilwaukeeS MilwaukeeWest MilwaukeeW Milwaukee76.587796%76.587796%76.6%3,690172.160428%72.160428%72.2%6,747270.009228%70.009228%70.0%2,276367.511447%67.511447%67.5%6,340451.200084%51.200084%51.2%4,885537.045455%37.045455%37.0%3,260633.810164%33.810164%33.8%355,854356k30.315023%30.315023%30.3%64,767,78764.8M29.748251%29.748251%29.7%185,226185k29.177156%29.177156%29.2%2,202728.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.119789%27.119789%27.1%121,597122k23.517740%23.517740%23.5%85,81285.8k821.471552%21.471552%21.5%2,819920.519827%20.519827%20.5%3,0791019.131714%19.131714%19.1%52011
Count number of people in category
# rank of county subdivision out of 11 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#72

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Congressional District 4, selected county subdivisions in Congressional District 4, and entities that contain Congressional District 4
0%5%10%15%Count#Fox PointShorewoodBaysideWhitefish BayGlendaleUnited States of AmericaUnited StatesBrown DeerMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMilwaukee CountyMilwaukeeMidwestEast North CentralCongressional District 4WI-4St. FrancisWisconsinMilwaukeeWest MilwaukeeW MilwaukeeCudahySouth MilwaukeeS Milwaukee19.966791%19.966791%20.0%962113.736556%13.736556%13.7%1,290212.242387%12.242387%12.2%398312.064171%12.064171%12.1%1,12846.435384%6.435384%6.4%61453.336158%3.336158%3.3%7,127,6737.13M3.329545%3.329545%3.3%29363.286157%3.286157%3.3%34,58734.6k2.985811%2.985811%3.0%18,59118.6k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.829137%2.829137%2.8%12,68512.7k2.756062%2.756062%2.8%20872.703886%2.703886%2.7%105,215105k2.043126%2.043126%2.0%7,45581.434879%1.434879%1.4%3991.302460%1.302460%1.3%171100.893036%0.893036%0.9%13411
Count number of people in category
# rank of county subdivision out of 11 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#73

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 Congressional District 4, selected county subdivisions in Congressional District 4, and entities that contain Congressional District 4
Female
Male
2x1x0x1xFM#W MilwaukeeBrown DeerWhitefish BayWisconsinMidwestEast North CentralMilwaukeeWI-4MilwaukeeUnited StatesMilwaukeeGlendaleS MilwaukeeCudahySt. FrancisFox PointShorewoodBayside-1.000000x-1.000000x1.722885x1.722885x1.72x14.842%14.8%25.571%25.6%1-1.000000x-1.000000x1.321858x1.321858x1.32x5.408%5.41%7.148%7.15%2-1.000000x-1.000000x1.284172x1.284172x1.28x1.899%1.90%2.438%2.44%3-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%4-1.000000x-1.000000x1.111204x1.111204x1.11x14.762%14.8%16.404%16.4%-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.046921x1.046921x1.05x4.505%4.51%4.717%4.72%5-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%6-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%7-1.204832x-1.204832x1.20x1.000000x1.000000x12.389%12.4%10.283%10.3%8-1.271644x-1.271644x1.27x1.000000x1.000000x2.177%2.18%1.712%1.71%9-1.992381x-1.992381x1.99x1.000000x1.000000x3.093%3.09%1.553%1.55%10-2.273926x-2.273926x2.27x1.000000x1.000000x4.182%4.18%1.839%1.84%11
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 11 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#74

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 Congressional District 4, selected county subdivisions in Congressional District 4, and entities that contain Congressional District 4
Female
Male
2x0x2xFM#BaysideCudahyBrown DeerWhitefish BayShorewoodEast North CentralMidwestMilwaukeeWisconsinFox PointUnited StatesWI-4GlendaleMilwaukeeS MilwaukeeMilwaukeeSt. FrancisW Milwaukee-1.000000x-1.000000x3.581135x3.581135x3.58x5.436%5.44%19.467%19.5%1-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%2-1.000000x-1.000000x2.430005x2.430005x2.43x2.012%2.01%4.890%4.89%3-1.000000x-1.000000x1.708618x1.708618x1.71x9.075%9.07%15.505%15.5%4-1.000000x-1.000000x1.656396x1.656396x1.66x10.517%10.5%17.420%17.4%5-1.000000x-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-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.570537x1.570537x1.57x15.639%15.6%24.561%24.6%6-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.507286x1.507286x1.51x2.285%2.29%3.444%3.44%-1.000000x-1.000000x1.496511x1.496511x1.50x5.253%5.25%7.861%7.86%7-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%8-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%9-1.000000x-1.000000x1.350002x1.350002x1.35x2.361%2.36%3.187%3.19%10-2.891477x-2.891477x2.89x1.000000x1.000000x2.131%2.13%0.737%0.74%11
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 11 by male-to-female sex ratio

Educational Attainment by Congressional District in Wisconsin

There are 8 congressional districts in Wisconsin. This section compares Congressional District 4 to all of the congressional districts in Wisconsin and to those entities that contain or substantially overlap with Congressional District 4.

No H.S. Diploma by Congressional District#75

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Congressional District 4, selected other congressional districts in Wisconsin, and entities that contain Congressional District 4
0%5%10%15%Count#Congressional District 4WI-4Milwaukee CountyMilwaukeeUnited States of AmericaUnited StatesEast North CentralMidwestMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeCongressional District 7WI-7Congressional District 1WI-1WisconsinCongressional District 6WI-6Congressional District 3WI-3Congressional District 8WI-8Congressional District 2WI-2Congressional District 5WI-515.532707%15.532707%15.5%69,64469.6k113.092854%13.092854%13.1%81,52281.5k13.020590%13.020590%13.0%27,818,38027.8M10.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M9.572772%9.572772%9.6%100,754101k8.733503%8.733503%8.7%43,76943.8k28.653937%8.653937%8.7%42,27542.3k38.637220%8.637220%8.6%336,096336k8.323927%8.323927%8.3%41,14941.1k47.976228%7.976228%8.0%37,64737.6k57.971283%7.971283%8.0%39,42739.4k66.388465%6.388465%6.4%31,31631.3k76.148358%6.148358%6.1%30,86930.9k8
Count number of people in category
# rank of congressional district out of 8 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Congressional District#76

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Congressional District 4, selected other congressional districts in Wisconsin, and entities that contain Congressional District 4
0%10%20%30%40%Count#Congressional District 2WI-2Congressional District 5WI-5Milwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesMilwaukee CountyMilwaukeeMidwestEast North CentralWisconsinCongressional District 1WI-1Congressional District 4WI-4Congressional District 6WI-6Congressional District 8WI-8Congressional District 3WI-3Congressional District 7WI-740.234518%40.234518%40.2%197,228197k135.725169%35.725169%35.7%179,365179k233.810164%33.810164%33.8%355,854356k30.315023%30.315023%30.3%64,767,78764.8M29.748251%29.748251%29.7%185,226185k28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.276635%27.276635%27.3%133,248133k327.119789%27.119789%27.1%121,597122k425.194297%25.194297%25.2%124,547125k524.873992%24.873992%24.9%123,030123k624.285684%24.285684%24.3%114,626115k722.036986%22.036986%22.0%110,441110k8
Count number of people in category
# rank of congressional district out of 8 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Congressional District#77

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Congressional District 4, selected other congressional districts in Wisconsin, and entities that contain Congressional District 4
0%1%2%3%4%5%Count#Congressional District 2WI-2United States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeCongressional District 5WI-5Milwaukee CountyMilwaukeeMidwestEast North CentralCongressional District 4WI-4WisconsinCongressional District 3WI-3Congressional District 1WI-1Congressional District 6WI-6Congressional District 7WI-7Congressional District 8WI-85.331949%5.331949%5.3%26,13726.1k13.336158%3.336158%3.3%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k3.150563%3.150563%3.2%15,81815.8k22.985811%2.985811%3.0%18,59118.6k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.829137%2.829137%2.8%12,68512.7k32.703886%2.703886%2.7%105,215105k2.363821%2.363821%2.4%11,15711.2k42.126688%2.126688%2.1%10,38910.4k52.114106%2.114106%2.1%10,45110.5k61.962838%1.962838%2.0%9,83771.767240%1.767240%1.8%8,7418
Count number of people in category
# rank of congressional district out of 8 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 Congressional District#78

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 Congressional District 4, selected other congressional districts in Wisconsin, and entities that contain Congressional District 4
Female
Male
1x0x1xFM#WI-1WI-7WI-6WI-3WI-8WisconsinWI-2MidwestEast North CentralWI-4MilwaukeeWI-5United StatesMilwaukee-1.000000x-1.000000x1.308277x1.308277x1.31x7.523%7.52%9.842%9.84%1-1.000000x-1.000000x1.302339x1.302339x1.30x7.589%7.59%9.883%9.88%2-1.000000x-1.000000x1.296739x1.296739x1.30x7.252%7.25%9.404%9.40%3-1.000000x-1.000000x1.284574x1.284574x1.28x6.983%6.98%8.971%8.97%4-1.000000x-1.000000x1.268430x1.268430x1.27x7.039%7.04%8.928%8.93%5-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.217863x1.217863x1.22x5.774%5.77%7.032%7.03%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-1.000000x1.111204x1.111204x1.11x14.762%14.8%16.404%16.4%7-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%-1.000000x-1.000000x1.109686x1.109686x1.11x5.839%5.84%6.479%6.48%8-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%
F percentage of females in category
M percentage of males in category
# rank of congressional district out of 8 by male-to-female sex ratio

Over-Education Sex Ratio by Congressional District#79

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 Congressional District 4, selected other congressional districts in Wisconsin, and entities that contain Congressional District 4
Female
Male
1x0x1xFM#WI-6WI-7WI-3WI-8East North CentralWI-1WI-5MidwestMilwaukeeWisconsinUnited StatesWI-4MilwaukeeWI-2-1.000000x-1.000000x1.864877x1.864877x1.86x1.478%1.48%2.755%2.76%1-1.000000x-1.000000x1.732699x1.732699x1.73x1.437%1.44%2.491%2.49%2-1.000000x-1.000000x1.657072x1.657072x1.66x1.780%1.78%2.949%2.95%3-1.000000x-1.000000x1.641732x1.641732x1.64x1.342%1.34%2.203%2.20%4-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.597387x1.597387x1.60x1.647%1.65%2.631%2.63%5-1.000000x-1.000000x1.595095x1.595095x1.60x2.447%2.45%3.903%3.90%6-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.507286x1.507286x1.51x2.285%2.29%3.444%3.44%7-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%-1.000000x-1.000000x1.420036x1.420036x1.42x4.424%4.42%6.282%6.28%8
F percentage of females in category
M percentage of males in category
# rank of congressional district out of 8 by male-to-female sex ratio

Educational Attainment by Congressional District in the Midwest

There are 94 congressional districts in the Midwest. This section compares Congressional District 4 to all of the congressional districts in the Midwest and to those entities that contain or substantially overlap with Congressional District 4.

No H.S. Diploma by Congressional District#80

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Congressional District 4, selected other congressional districts in the Midwest, and entities that contain Congressional District 4
0%10%20%30%Count#Congressional District 4IL-4Congressional District 13MI-13Congressional District 8MO-8Congressional District 7IN-7Congressional District 4WI-4Congressional District 3IL-3Congressional District 2IN-2Congressional District 7IL-7Congressional District 11OH-11Congressional District 8IL-8Congressional District 9OH-9Congressional District 11IL-11Congressional District 14MI-14Milwaukee CountyMilwaukeeCongressional District 3OH-3United States of AmericaUnited StatesCongressional District 17IL-17Congressional District 2IL-2Congressional District 3IN-3Congressional District 1MO-1Congressional District 6OH-6Congressional District 7OH-7Congressional District 1KS-1Congressional District 6IN-6Congressional District 8IN-8Congressional District 7MO-7Congressional District 4MO-4Congressional District 1IN-1Congressional District 1IL-1Congressional District 10IL-10Congressional District 15IL-15Congressional District 5MI-5Congressional District 9MI-9East North CentralCongressional District 3MO-3MidwestCongressional District 6MI-6Milwaukee, Waukesha, and West Allis Metro AreaMilwaukeeCongressional District 10MI-10Congressional District (at Large)SD-At LargeWisconsinCongressional District 13IL-13Congressional District 2IA-2Congressional District 8WI-8Congressional District 3IA-3Congressional District 1IA-1Congressional District 5OH-5Congressional District 5WI-5Congressional District 11MI-11Congressional District 6IL-6Congressional District 2MN-2Congressional District 2MO-2Congressional District 3MN-330.141643%30.141643%30.1%133,085133k118.634314%18.634314%18.6%82,08982.1k217.767302%17.767302%17.8%90,26590.3k316.917632%16.917632%16.9%80,63480.6k415.532707%15.532707%15.5%69,64469.6k515.034958%15.034958%15.0%71,99772.0k615.000456%15.000456%15.0%70,65870.7k714.958884%14.958884%15.0%73,32873.3k814.304631%14.304631%14.3%66,86966.9k914.095465%14.095465%14.1%68,01468.0k1013.687459%13.687459%13.7%65,77765.8k1113.660002%13.660002%13.7%62,96163.0k1213.553107%13.553107%13.6%62,68862.7k1313.092854%13.092854%13.1%81,52281.5k13.077324%13.077324%13.1%62,96363.0k1413.020590%13.020590%13.0%27,818,38027.8M12.769470%12.769470%12.8%60,48460.5k1512.689774%12.689774%12.7%58,64358.6k1612.614072%12.614072%12.6%59,97660.0k1712.572102%12.572102%12.6%62,37962.4k1812.498748%12.498748%12.5%62,38262.4k1912.493014%12.493014%12.5%61,47161.5k2012.160129%12.160129%12.2%55,05055.1k2111.868592%11.868592%11.9%57,29157.3k2211.713000%11.713000%11.7%57,00657.0k2311.690346%11.690346%11.7%59,17759.2k2411.682939%11.682939%11.7%57,41357.4k2511.545342%11.545342%11.5%55,56955.6k2611.387814%11.387814%11.4%53,74953.7k2711.323888%11.323888%11.3%52,91852.9k2811.305260%11.305260%11.3%54,55554.6k2911.147167%11.147167%11.1%52,28352.3k3010.720627%10.720627%10.7%54,46454.5k3410.719464%10.719464%10.7%3,363,7843.36M10.502117%10.502117%10.5%54,29554.3k4010.244520%10.244520%10.2%4,641,8354.64M9.843731%9.843731%9.8%46,24946.2k479.572772%9.572772%9.6%100,754101k9.413851%9.413851%9.4%46,65946.7k548.813537%8.813537%8.8%49,05549.1k608.637220%8.637220%8.6%336,096336k8.362915%8.362915%8.4%38,09538.1k678.218512%8.218512%8.2%42,27842.3k707.971283%7.971283%8.0%39,42739.4k747.918533%7.918533%7.9%42,19242.2k767.837143%7.837143%7.8%40,09240.1k787.542641%7.542641%7.5%36,66936.7k806.148358%6.148358%6.1%30,86930.9k875.622517%5.622517%5.6%28,13828.1k905.474269%5.474269%5.5%27,06927.1k915.446212%5.446212%5.4%24,70524.7k925.191202%5.191202%5.2%27,82527.8k934.566973%4.566973%4.6%21,99522.0k94
Count number of people in category
# rank of congressional district out of 94 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Congressional District#81

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Congressional District 4, selected other congressional districts in the Midwest, and entities that contain Congressional District 4
0%10%20%30%40%50%Count#Congressional District 5IL-5Congressional District 9IL-9Congressional District 6IL-6Congressional District 2MO-2Congressional District 3MN-3Congressional District 11MI-11Congressional District 3KS-3Congressional District 5MN-5Congressional District 10IL-10Congressional District 5IN-5Congressional District 4MN-4Congressional District 2WI-2Congressional District 7IL-7Congressional District 12OH-12Congressional District 14IL-14Congressional District 8MI-8Congressional District 2NE-2Congressional District 2MN-2Congressional District 5WI-5Congressional District 11IL-11Milwaukee, Waukesha, and West Allis Metro AreaMilwaukeeCongressional District 14OH-14Congressional District 12MI-12Congressional District 1OH-1Congressional District 8IL-8Congressional District 16OH-16Congressional District 3IA-3Congressional District 18IL-18Congressional District 1MO-1Congressional District 2OH-2United States of AmericaUnited StatesCongressional District 15OH-15Congressional District 3MI-3Milwaukee CountyMilwaukeeMidwestEast North CentralWisconsinCongressional District 2KS-2Congressional District 2IA-2Congressional District (at Large)SD-At LargeCongressional District 4WI-4Congressional District 1IA-1Congressional District 5OH-5Congressional District 3MO-3Congressional District 4IA-4Congressional District 12IL-12Congressional District 9OH-9Congressional District 7OH-7Congressional District 17IL-17Congressional District 4OH-4Congressional District 6OH-6Congressional District 8MO-8Congressional District 13MI-1352.306793%52.306793%52.3%276,455276k152.107696%52.107696%52.1%266,460266k250.932399%50.932399%50.9%251,849252k348.249357%48.249357%48.2%258,618259k447.756899%47.756899%47.8%230,002230k545.842558%45.842558%45.8%229,420229k645.583030%45.583030%45.6%224,604225k744.031685%44.031685%44.0%207,059207k843.735783%43.735783%43.7%204,383204k943.628513%43.628513%43.6%219,670220k1042.585742%42.585742%42.6%195,354195k1140.234518%40.234518%40.2%197,228197k1239.694041%39.694041%39.7%194,579195k1339.608479%39.608479%39.6%200,996201k1439.604351%39.604351%39.6%187,647188k1539.414573%39.414573%39.4%184,999185k1638.389255%38.389255%38.4%159,859160k1737.892015%37.892015%37.9%171,885172k1835.725169%35.725169%35.7%179,365179k1934.822690%34.822690%34.8%160,503161k2033.810164%33.810164%33.8%355,854356k33.703549%33.703549%33.7%170,028170k2133.161081%33.161081%33.2%150,931151k2233.114299%33.114299%33.1%158,692159k2332.972453%32.972453%33.0%159,100159k2432.440181%32.440181%32.4%164,631165k2531.999377%31.999377%32.0%170,501171k2631.650004%31.650004%31.7%154,866155k2730.482294%30.482294%30.5%151,244151k2830.461895%30.461895%30.5%152,067152k2930.315023%30.315023%30.3%64,767,78764.8M30.211818%30.211818%30.2%152,002152k3029.851008%29.851008%29.9%142,912143k3429.748251%29.748251%29.7%185,226185k28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.726092%27.726092%27.7%129,101129k4027.617491%27.617491%27.6%142,071142k4127.450336%27.450336%27.5%152,785153k4227.119789%27.119789%27.1%121,597122k4725.456248%25.456248%25.5%130,225130k5325.241281%25.241281%25.2%122,712123k5424.463869%24.463869%24.5%126,476126k6023.325587%23.325587%23.3%116,634117k6722.095757%22.095757%22.1%105,821106k7421.603574%21.603574%21.6%103,819104k8019.547682%19.547682%19.5%96,18396.2k8718.342443%18.342443%18.3%86,88186.9k9016.955922%16.955922%17.0%82,06782.1k9115.614519%15.614519%15.6%77,93377.9k9215.322219%15.322219%15.3%77,84377.8k9314.511289%14.511289%14.5%63,92663.9k94
Count number of people in category
# rank of congressional district out of 94 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Congressional District#82

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Congressional District 4, selected other congressional districts in the Midwest, and entities that contain Congressional District 4
0%2%4%6%Count#Congressional District 9IL-9Congressional District 7IL-7Congressional District 5IL-5Congressional District 4MN-4Congressional District 10IL-10Congressional District 2MO-2Congressional District 12MI-12Congressional District 2WI-2Congressional District 5IN-5Congressional District 5MN-5Congressional District 6IL-6Congressional District 11MI-11Congressional District 3KS-3Congressional District 8MI-8Congressional District 3MN-3Congressional District 11OH-11Congressional District 12OH-12Congressional District 1MO-1Congressional District 2NE-2Congressional District 14MI-14Congressional District 13IL-13Congressional District 14OH-14Congressional District 15OH-15Congressional District 1MN-1Congressional District 1OH-1United States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeCongressional District 2IA-2Congressional District 2OH-2Congressional District 16OH-16Congressional District 5WI-5Congressional District 9MI-9Milwaukee CountyMilwaukeeCongressional District 14IL-14MidwestEast North CentralCongressional District 3IA-3Congressional District 4WI-4WisconsinCongressional District (at Large)SD-At LargeCongressional District 3OH-3Congressional District 3IL-3Congressional District 1IA-1Congressional District 1WI-1Congressional District 4MI-4Congressional District 1IN-1Congressional District 2IL-2Congressional District 3MO-3Congressional District 17IL-17Congressional District 4OH-4Congressional District 15IL-15Congressional District 6OH-6Congressional District 13MI-136.885897%6.885897%6.9%35,21235.2k16.803999%6.803999%6.8%33,35333.4k26.219562%6.219562%6.2%32,87232.9k35.679799%5.679799%5.7%26,05526.1k45.516859%5.516859%5.5%25,78125.8k55.400903%5.400903%5.4%28,94928.9k65.340496%5.340496%5.3%24,30724.3k75.331949%5.331949%5.3%26,13726.1k85.304061%5.304061%5.3%26,70626.7k95.153216%5.153216%5.2%24,23324.2k104.898104%4.898104%4.9%24,22024.2k114.732722%4.732722%4.7%23,68523.7k124.586838%4.586838%4.6%22,60122.6k134.532700%4.532700%4.5%21,27521.3k144.472083%4.472083%4.5%21,53821.5k154.255515%4.255515%4.3%19,89319.9k164.161732%4.161732%4.2%21,11921.1k174.118548%4.118548%4.1%20,43520.4k184.020018%4.020018%4.0%16,74016.7k193.966826%3.966826%4.0%18,34818.3k203.785319%3.785319%3.8%17,24317.2k213.485562%3.485562%3.5%17,58417.6k223.461791%3.461791%3.5%17,41717.4k233.354078%3.354078%3.4%14,87514.9k243.353957%3.353957%3.4%16,07316.1k253.336158%3.336158%3.3%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k3.283284%3.283284%3.3%16,89016.9k263.251977%3.251977%3.3%16,23416.2k273.170697%3.170697%3.2%16,09116.1k283.150563%3.150563%3.2%15,81815.8k293.053560%3.053560%3.1%15,51315.5k302.985811%2.985811%3.0%18,59118.6k2.935813%2.935813%2.9%13,91013.9k342.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.838450%2.838450%2.8%15,12415.1k372.829137%2.829137%2.8%12,68512.7k402.703886%2.703886%2.7%105,215105k2.514252%2.514252%2.5%13,99414.0k462.492175%2.492175%2.5%11,99912.0k472.312139%2.312139%2.3%11,07211.1k542.237452%2.237452%2.2%11,44611.4k572.126688%2.126688%2.1%10,38910.4k602.057704%2.057704%2.1%9,740671.849532%1.849532%1.8%8,902741.721385%1.721385%1.7%7,955801.513566%1.513566%1.5%7,825871.378412%1.378412%1.4%6,529901.357846%1.357846%1.4%6,572911.239009%1.239009%1.2%5,979921.236611%1.236611%1.2%6,172931.098914%1.098914%1.1%4,84194
Count number of people in category
# rank of congressional district out of 94 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 Congressional District#83

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 Congressional District 4, selected other congressional districts in the Midwest, and entities that contain Congressional District 4
Female
Male
1x0x1xFM#MI-1MN-6WI-1WI-7WI-6MN-8MI-4WI-3WI-8OH-15IA-4MN-7IA-1SD-At LargeIA-3IL-15IL-2MI-7MN-1WisconsinWI-2ND-At LargeNE-3IL-18MI-3IL-16NE-2MI-14OH-12MI-6NE-1MI-13OH-14MI-10IA-2MidwestEast North CentralOH-9WI-4MilwaukeeIN-3United StatesMilwaukeeIN-8IL-3IN-9MN-3MN-5IL-5IL-6IL-9MO-2-1.000000x-1.000000x1.341400x1.341400x1.34x7.178%7.18%9.629%9.63%1-1.000000x-1.000000x1.319854x1.319854x1.32x4.848%4.85%6.399%6.40%2-1.000000x-1.000000x1.308277x1.308277x1.31x7.523%7.52%9.842%9.84%3-1.000000x-1.000000x1.302339x1.302339x1.30x7.589%7.59%9.883%9.88%4-1.000000x-1.000000x1.296739x1.296739x1.30x7.252%7.25%9.404%9.40%5-1.000000x-1.000000x1.287829x1.287829x1.29x6.602%6.60%8.503%8.50%6-1.000000x-1.000000x1.286539x1.286539x1.29x8.571%8.57%11.027%11.0%7-1.000000x-1.000000x1.284574x1.284574x1.28x6.983%6.98%8.971%8.97%8-1.000000x-1.000000x1.268430x1.268430x1.27x7.039%7.04%8.928%8.93%9-1.000000x-1.000000x1.259029x1.259029x1.26x8.360%8.36%10.525%10.5%10-1.000000x-1.000000x1.257883x1.257883x1.26x8.062%8.06%10.141%10.1%11-1.000000x-1.000000x1.247546x1.247546x1.25x8.112%8.11%10.119%10.1%12-1.000000x-1.000000x1.247209x1.247209x1.25x6.992%6.99%8.720%8.72%13-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%14-1.000000x-1.000000x1.244138x1.244138x1.24x7.081%7.08%8.810%8.81%15-1.000000x-1.000000x1.243372x1.243372x1.24x10.096%10.1%12.553%12.6%16-1.000000x-1.000000x1.240260x1.240260x1.24x11.452%11.5%14.204%14.2%17-1.000000x-1.000000x1.233102x1.233102x1.23x7.962%7.96%9.818%9.82%18-1.000000x-1.000000x1.224045x1.224045x1.22x7.758%7.76%9.496%9.50%19-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.217863x1.217863x1.22x5.774%5.77%7.032%7.03%20-1.000000x-1.000000x1.216853x1.216853x1.22x7.174%7.17%8.730%8.73%21-1.000000x-1.000000x1.209955x1.209955x1.21x9.472%9.47%11.461%11.5%22-1.000000x-1.000000x1.207338x1.207338x1.21x6.288%6.29%7.592%7.59%23-1.000000x-1.000000x1.206208x1.206208x1.21x8.810%8.81%10.627%10.6%24-1.000000x-1.000000x1.199250x1.199250x1.20x8.915%8.92%10.691%10.7%25-1.000000x-1.000000x1.195514x1.195514x1.20x8.642%8.64%10.332%10.3%26-1.000000x-1.000000x1.192870x1.192870x1.19x12.457%12.5%14.859%14.9%27-1.000000x-1.000000x1.191056x1.191056x1.19x6.625%6.63%7.891%7.89%28-1.000000x-1.000000x1.187599x1.187599x1.19x9.025%9.02%10.718%10.7%29-1.000000x-1.000000x1.187583x1.187583x1.19x7.335%7.33%8.711%8.71%30-1.000000x-1.000000x1.173998x1.173998x1.17x17.249%17.2%20.251%20.3%34-1.000000x-1.000000x1.150580x1.150580x1.15x7.579%7.58%8.721%8.72%40-1.000000x-1.000000x1.137918x1.137918x1.14x8.821%8.82%10.038%10.0%47-1.000000x-1.000000x1.134419x1.134419x1.13x7.710%7.71%8.747%8.75%48-1.000000x-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-1.000000x1.121510x1.121510x1.12x12.940%12.9%14.512%14.5%54-1.000000x-1.000000x1.111204x1.111204x1.11x14.762%14.8%16.404%16.4%58-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%-1.000000x-1.000000x1.109380x1.109380x1.11x11.981%12.0%13.291%13.3%60-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.096613x1.096613x1.10x11.183%11.2%12.264%12.3%67-1.000000x-1.000000x1.073708x1.073708x1.07x14.514%14.5%15.584%15.6%74-1.000000x-1.000000x1.042685x1.042685x1.04x10.466%10.5%10.913%10.9%80-1.003867x-1.003867x1.00x1.000000x1.000000x4.575%4.58%4.558%4.56%87-1.012044x-1.012044x1.01x1.000000x1.000000x9.932%9.93%9.814%9.81%90-1.033125x-1.033125x1.03x1.000000x1.000000x9.063%9.06%8.773%8.77%91-1.052215x-1.052215x1.05x1.000000x1.000000x5.608%5.61%5.330%5.33%92-1.091772x-1.091772x1.09x1.000000x1.000000x9.010%9.01%8.252%8.25%93-1.092786x-1.092786x1.09x1.000000x1.000000x5.407%5.41%4.948%4.95%94
F percentage of females in category
M percentage of males in category
# rank of congressional district out of 94 by male-to-female sex ratio

Over-Education Sex Ratio by Congressional District#84

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 Congressional District 4, selected other congressional districts in the Midwest, and entities that contain Congressional District 4
Female
Male
1x0x1x2xFM#OH-10OH-8IN-3NE-3IN-2OH-13MO-2MI-14IL-18OH-6MN-7WI-6MI-9MO-7IA-4IL-10KS-4IL-16MI-6IN-8IL-17IL-6MI-4MI-1OH-14WI-7IN-6IN-1MI-3OH-4MI-5SD-At LargeIA-3OH-15East North CentralWI-1MidwestMilwaukeeWisconsinIA-1IA-2United StatesMO-8WI-4MilwaukeeMI-8IL-14MI-10MN-5IL-5IL-2MI-13IL-4-1.000000x-1.000000x2.105558x2.105558x2.11x1.865%1.86%3.926%3.93%1-1.000000x-1.000000x2.026482x2.026482x2.03x1.198%1.20%2.427%2.43%2-1.000000x-1.000000x1.985310x1.985310x1.99x1.222%1.22%2.426%2.43%3-1.000000x-1.000000x1.961119x1.961119x1.96x1.183%1.18%2.321%2.32%4-1.000000x-1.000000x1.952119x1.952119x1.95x1.413%1.41%2.759%2.76%5-1.000000x-1.000000x1.930819x1.930819x1.93x1.370%1.37%2.645%2.65%6-1.000000x-1.000000x1.925024x1.925024x1.93x3.762%3.76%7.242%7.24%7-1.000000x-1.000000x1.924471x1.924471x1.92x2.790%2.79%5.369%5.37%8-1.000000x-1.000000x1.904877x1.904877x1.90x2.002%2.00%3.814%3.81%9-1.000000x-1.000000x1.903849x1.903849x1.90x0.857%0.86%1.631%1.63%10-1.000000x-1.000000x1.879669x1.879669x1.88x1.225%1.23%2.303%2.30%11-1.000000x-1.000000x1.864877x1.864877x1.86x1.478%1.48%2.755%2.76%12-1.000000x-1.000000x1.860552x1.860552x1.86x2.169%2.17%4.035%4.03%13-1.000000x-1.000000x1.851898x1.851898x1.85x1.536%1.54%2.845%2.85%14-1.000000x-1.000000x1.846945x1.846945x1.85x1.644%1.64%3.036%3.04%15-1.000000x-1.000000x1.827402x1.827402x1.83x3.940%3.94%7.200%7.20%16-1.000000x-1.000000x1.808780x1.808780x1.81x1.505%1.51%2.723%2.72%17-1.000000x-1.000000x1.803280x1.803280x1.80x1.329%1.33%2.397%2.40%18-1.000000x-1.000000x1.787441x1.787441x1.79x1.914%1.91%3.421%3.42%19-1.000000x-1.000000x1.756914x1.756914x1.76x1.175%1.17%2.064%2.06%20-1.000000x-1.000000x1.756351x1.756351x1.76x1.008%1.01%1.771%1.77%21-1.000000x-1.000000x1.754774x1.754774x1.75x3.594%3.59%6.307%6.31%22-1.000000x-1.000000x1.748582x1.748582x1.75x1.503%1.50%2.628%2.63%23-1.000000x-1.000000x1.743059x1.743059x1.74x1.731%1.73%3.018%3.02%24-1.000000x-1.000000x1.734968x1.734968x1.73x2.579%2.58%4.474%4.47%25-1.000000x-1.000000x1.732699x1.732699x1.73x1.437%1.44%2.491%2.49%26-1.000000x-1.000000x1.730248x1.730248x1.73x1.171%1.17%2.026%2.03%27-1.000000x-1.000000x1.725295x1.725295x1.73x1.372%1.37%2.367%2.37%28-1.000000x-1.000000x1.723399x1.723399x1.72x1.972%1.97%3.398%3.40%29-1.000000x-1.000000x1.706877x1.706877x1.71x1.008%1.01%1.720%1.72%30-1.000000x-1.000000x1.696167x1.696167x1.70x1.205%1.20%2.043%2.04%34-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%40-1.000000x-1.000000x1.651247x1.651247x1.65x2.158%2.16%3.563%3.56%42-1.000000x-1.000000x1.637203x1.637203x1.64x2.629%2.63%4.304%4.30%47-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.597387x1.597387x1.60x1.647%1.65%2.631%2.63%54-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.573289x1.573289x1.57x1.747%1.75%2.749%2.75%60-1.000000x-1.000000x1.571318x1.571318x1.57x2.565%2.56%4.030%4.03%61-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.520656x1.520656x1.52x1.192%1.19%1.813%1.81%67-1.000000x-1.000000x1.507286x1.507286x1.51x2.285%2.29%3.444%3.44%69-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%-1.000000x-1.000000x1.479666x1.479666x1.48x3.679%3.68%5.444%5.44%74-1.000000x-1.000000x1.415167x1.415167x1.42x2.443%2.44%3.457%3.46%80-1.000000x-1.000000x1.327205x1.327205x1.33x1.371%1.37%1.820%1.82%87-1.000000x-1.000000x1.261516x1.261516x1.26x4.564%4.56%5.758%5.76%90-1.000000x-1.000000x1.232174x1.232174x1.23x5.588%5.59%6.886%6.89%91-1.000000x-1.000000x1.195057x1.195057x1.20x1.583%1.58%1.891%1.89%92-1.000000x-1.000000x1.179013x1.179013x1.18x1.015%1.02%1.197%1.20%93-1.000000x-1.000000x1.129302x1.129302x1.13x1.557%1.56%1.758%1.76%94
F percentage of females in category
M percentage of males in category
# rank of congressional district out of 94 by male-to-female sex ratio

Educational Attainment by Congressional District in the United States

There are 435 congressional districts in the United States. This section compares Congressional District 4 to all of the congressional districts in the United States and to those entities that contain or substantially overlap with Congressional District 4.

No H.S. Diploma by Congressional District#85

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Congressional District 4, selected other congressional districts in the United States, and entities that contain Congressional District 4
0%10%20%30%40%Count#Congressional District 40CA-40Congressional District 33TX-33Congressional District 21CA-21Congressional District 29TX-29Congressional District 44CA-44Congressional District 15NY-15Congressional District 34CA-34Congressional District 46CA-46Congressional District 16CA-16Congressional District 34TX-34Congressional District 7AZ-7Congressional District 29CA-29Congressional District 51CA-51Congressional District 15TX-15Congressional District 4IL-4Congressional District 35CA-35Congressional District 28TX-28Congressional District 7NY-7Congressional District 13NY-13Congressional District 41CA-41Congressional District 32CA-32Congressional District 23TX-23Congressional District 5KY-5Congressional District 20CA-20Congressional District 3AZ-3Congressional District 14NY-14Congressional District 18TX-18Congressional District 30TX-30Congressional District 1NV-1Congressional District 35TX-35Congressional District 9TX-9Congressional District 2LA-2Congressional District 16PA-16Congressional District 4WI-4Congressional District 1RI-1Congressional District 14MI-14Milwaukee CountyMilwaukeeUnited States of AmericaUnited StatesCongressional District 11FL-11Congressional District 2TN-2Congressional District (at Large)DE-At LargeCongressional District 2AR-2East North CentralCongressional District 11GA-11MidwestCongressional District 1ID-1Congressional District 3WA-3Milwaukee, Waukesha, and West Allis Metro AreaMilwaukeeCongressional District (at Large)SD-At LargeCongressional District 9IL-9WisconsinCongressional District 3KS-3Congressional District (at Large)MT-At LargeCongressional District 5MA-5Congressional District 2MO-2Congressional District 52CA-52Congressional District 3MN-3Congressional District 33CA-33Congressional District 2CO-247.468013%47.468013%47.5%196,444196k141.895182%41.895182%41.9%173,268173k241.728347%41.728347%41.7%167,836168k340.503091%40.503091%40.5%170,211170k436.758853%36.758853%36.8%158,302158k535.998852%35.998852%36.0%159,278159k635.509208%35.509208%35.5%172,791173k734.057487%34.057487%34.1%152,066152k833.810434%33.810434%33.8%140,788141k933.305378%33.305378%33.3%141,375141k1032.353694%32.353694%32.4%141,528142k1131.975815%31.975815%32.0%147,601148k1231.783420%31.783420%31.8%141,222141k1330.444124%30.444124%30.4%131,490131k1430.141643%30.141643%30.1%133,085133k1530.040310%30.040310%30.0%132,652133k1629.340209%29.340209%29.3%125,278125k1729.220749%29.220749%29.2%145,678146k1826.522530%26.522530%26.5%138,633139k1925.392786%25.392786%25.4%110,645111k2025.339311%25.339311%25.3%119,150119k2125.224642%25.224642%25.2%114,141114k2225.045774%25.045774%25.0%122,563123k2324.820626%24.820626%24.8%113,639114k2424.764030%24.764030%24.8%107,517108k2524.715848%24.715848%24.7%124,905125k2624.173459%24.173459%24.2%112,855113k2724.084618%24.084618%24.1%110,914111k2823.663311%23.663311%23.7%108,041108k2923.640432%23.640432%23.6%112,419112k3022.620259%22.620259%22.6%106,745107k3218.250431%18.250431%18.3%95,00795.0k6316.048021%16.048021%16.0%75,80775.8k9415.532707%15.532707%15.5%69,64469.6k10314.855813%14.855813%14.9%53,73653.7k12513.553107%13.553107%13.6%62,68862.7k15613.092854%13.092854%13.1%81,52281.5k13.020590%13.020590%13.0%27,818,38027.8M12.338892%12.338892%12.3%70,56670.6k18711.698312%11.698312%11.7%57,98958.0k21811.194308%11.194308%11.2%71,74671.7k23410.914877%10.914877%10.9%54,63354.6k24910.719464%10.719464%10.7%3,363,7843.36M10.427848%10.427848%10.4%50,53750.5k28010.244520%10.244520%10.2%4,641,8354.64M9.752367%9.752367%9.8%53,30053.3k3059.654636%9.654636%9.7%45,82145.8k3119.572772%9.572772%9.6%100,754101k8.813537%8.813537%8.8%49,05549.1k3378.644136%8.644136%8.6%44,20344.2k3428.637220%8.637220%8.6%336,096336k7.892259%7.892259%7.9%38,88838.9k3737.105467%7.105467%7.1%49,62749.6k4026.967673%6.967673%7.0%37,02937.0k4045.191202%5.191202%5.2%27,82527.8k4314.853778%4.853778%4.9%24,97425.0k4324.566973%4.566973%4.6%21,99522.0k4334.122488%4.122488%4.1%21,22921.2k4343.793326%3.793326%3.8%19,49819.5k435
Count number of people in category
# rank of congressional district out of 435 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Congressional District#86

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Congressional District 4, selected other congressional districts in the United States, and entities that contain Congressional District 4
0%20%40%60%Count#Congressional District 12NY-12Congressional District 33CA-33Congressional District 8VA-8Congressional District 18CA-18Congressional District 10NY-10Congressional District 6GA-6Congressional District 7WA-7Congressional District 52CA-52Congressional District 12CA-12Congressional District 5MA-5Congressional District 17CA-17Congressional District 11VA-11Congressional District 10VA-10Congressional District 8MD-8Congressional District 45CA-45Congressional District 2CO-2Congressional District 3TX-3Congressional District 5IL-5Congressional District 4NC-4Congressional District 11NJ-11Congressional District 9IL-9Congressional District 3NY-3Congressional District 7NJ-7Congressional District 6IL-6Congressional District 4MA-4Congressional District 7TX-7Congressional District 4CT-4Congressional District 2MO-2Congressional District 3MN-3Congressional District 3MD-3Congressional District 13CA-13Congressional District 6MD-6Congressional District 2MA-2Congressional District 2PA-2Milwaukee, Waukesha, and West Allis Metro AreaMilwaukeeCongressional District 12PA-12Congressional District (at Large)DE-At LargeUnited States of AmericaUnited StatesCongressional District (at Large)MT-At LargeMilwaukee CountyMilwaukeeMidwestEast North CentralWisconsinCongressional District 15PA-15Congressional District (at Large)SD-At LargeCongressional District 4WI-4Congressional District 5MO-5Congressional District 3PA-3Congressional District 1ID-1Congressional District 7MI-7Congressional District 13OH-13Congressional District 13TX-13Congressional District 28TX-28Congressional District 16CA-16Congressional District 33TX-33Congressional District 29TX-29Congressional District 40CA-40Congressional District 21CA-2171.122671%71.122671%71.1%410,732411k163.288126%63.288126%63.3%325,906326k261.111300%61.111300%61.1%341,328341k360.496799%60.496799%60.5%309,109309k459.813240%59.813240%59.8%312,965313k559.078506%59.078506%59.1%294,670295k658.198334%58.198334%58.2%313,625314k756.769033%56.769033%56.8%292,092292k856.324604%56.324604%56.3%332,946333k955.128895%55.128895%55.1%292,977293k1054.885035%54.885035%54.9%287,518288k1154.446582%54.446582%54.4%284,148284k1254.422183%54.422183%54.4%282,991283k1353.815598%53.815598%53.8%282,068282k1453.458475%53.458475%53.5%273,284273k1553.287303%53.287303%53.3%273,901274k1652.310551%52.310551%52.3%269,154269k1752.306793%52.306793%52.3%276,455276k1852.266414%52.266414%52.3%275,075275k1952.126832%52.126832%52.1%272,027272k2052.107696%52.107696%52.1%266,460266k2151.450492%51.450492%51.5%262,610263k2251.435398%51.435398%51.4%262,194262k2350.932399%50.932399%50.9%251,849252k2449.503559%49.503559%49.5%250,738251k2548.976166%48.976166%49.0%244,490244k2648.736480%48.736480%48.7%239,667240k2748.249357%48.249357%48.2%258,618259k2847.756899%47.756899%47.8%230,002230k2946.635732%46.635732%46.6%242,115242k3046.128814%46.128814%46.1%238,712239k3241.184058%41.184058%41.2%210,084210k6337.292503%37.292503%37.3%183,500184k9434.258327%34.258327%34.3%160,219160k12533.810164%33.810164%33.8%355,854356k32.083230%32.083230%32.1%164,013164k15630.475336%30.475336%30.5%195,321195k17130.315023%30.315023%30.3%64,767,78764.8M29.934396%29.934396%29.9%209,072209k18729.748251%29.748251%29.7%185,226185k28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.195299%28.195299%28.2%138,797139k21827.450336%27.450336%27.5%152,785153k23327.119789%27.119789%27.1%121,597122k23926.587233%26.587233%26.6%136,049136k24924.732927%24.732927%24.7%120,320120k28024.524183%24.524183%24.5%134,033134k28623.322039%23.322039%23.3%112,881113k31121.659636%21.659636%21.7%106,393106k34219.922526%19.922526%19.9%91,28991.3k37317.721507%17.721507%17.7%75,66875.7k40412.013333%12.013333%12.0%50,02450.0k4319.377017%9.377017%9.4%38,78138.8k4329.275608%9.275608%9.3%38,98039.0k4339.158018%9.158018%9.2%37,90037.9k4348.126580%8.126580%8.1%32,68632.7k435
Count number of people in category
# rank of congressional district out of 435 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Congressional District#87

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Congressional District 4, selected other congressional districts in the United States, and entities that contain Congressional District 4
0%5%10%Count#Congressional District 12NY-12Congressional District 8MD-8Congressional District 33CA-33Congressional District 10NY-10Congressional District 18CA-18Congressional District 8VA-8Congressional District 5MA-5Congressional District 52CA-52Congressional District 4MA-4Congressional District 7WA-7Congressional District 3NY-3Congressional District 12CA-12Congressional District 13CA-13Congressional District 3MD-3Congressional District 45CA-45Congressional District 4NC-4Congressional District 7TX-7Congressional District 9IL-9Congressional District 2CO-2Congressional District 7IL-7Congressional District 27FL-27Congressional District 7MA-7Congressional District 2PA-2Congressional District 7NJ-7Congressional District 6MD-6Congressional District 17NY-17Congressional District 5IL-5Congressional District 11NJ-11Congressional District 4CT-4Congressional District 2CA-2Congressional District 6GA-6Congressional District 22FL-22Congressional District 1SC-1Congressional District 2CT-2Congressional District (at Large)DE-At LargeCongressional District 5MD-5United States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeCongressional District 2MD-2Congressional District (at Large)MT-At LargeMilwaukee CountyMilwaukeeMidwestEast North CentralCongressional District 10OH-10Congressional District 4WI-4WisconsinCongressional District 4KY-4Congressional District (at Large)SD-At LargeCongressional District 25FL-25Congressional District 1ID-1Congressional District 1AL-1Congressional District 3SC-3Congressional District 8WI-8Congressional District 8CA-8Congressional District 44CA-44Congressional District 21CA-21Congressional District 29TX-29Congressional District 33TX-33Congressional District 40CA-4012.326103%12.326103%12.3%71,18371.2k111.620031%11.620031%11.6%60,90560.9k211.284848%11.284848%11.3%58,11258.1k310.803517%10.803517%10.8%56,52856.5k410.597689%10.597689%10.6%54,14954.1k59.764115%9.764115%9.8%54,53654.5k69.226253%9.226253%9.2%49,03249.0k79.156565%9.156565%9.2%47,11347.1k88.717979%8.717979%8.7%44,15744.2k98.189426%8.189426%8.2%44,13244.1k108.159863%8.159863%8.2%41,64941.6k117.811781%7.811781%7.8%46,17746.2k127.676090%7.676090%7.7%39,72339.7k137.150754%7.150754%7.2%37,12437.1k146.985024%6.985024%7.0%35,70835.7k156.941177%6.941177%6.9%36,53136.5k166.930461%6.930461%6.9%34,59734.6k176.885897%6.885897%6.9%35,21235.2k186.863512%6.863512%6.9%35,27935.3k196.803999%6.803999%6.8%33,35333.4k206.788966%6.788966%6.8%36,92636.9k216.716530%6.716530%6.7%34,12434.1k226.632968%6.632968%6.6%31,02131.0k236.623391%6.623391%6.6%33,76333.8k246.451550%6.451550%6.5%32,91032.9k256.356207%6.356207%6.4%31,02731.0k266.219562%6.219562%6.2%32,87232.9k276.028675%6.028675%6.0%31,46131.5k286.017354%6.017354%6.0%29,59129.6k295.943359%5.943359%5.9%30,39630.4k305.889005%5.889005%5.9%29,37329.4k324.921370%4.921370%4.9%26,50026.5k634.189886%4.189886%4.2%21,21021.2k943.744249%3.744249%3.7%18,22018.2k1253.481585%3.481585%3.5%22,31422.3k1483.431049%3.431049%3.4%17,11517.1k1563.336158%3.336158%3.3%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k3.108858%3.108858%3.1%15,67815.7k1873.002861%3.002861%3.0%20,97321.0k1972.985811%2.985811%3.0%18,59118.6k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.838410%2.838410%2.8%13,85313.9k2182.829137%2.829137%2.8%12,68512.7k2202.703886%2.703886%2.7%105,215105k2.578924%2.578924%2.6%12,90712.9k2492.514252%2.514252%2.5%13,99414.0k2632.367837%2.367837%2.4%12,44912.4k2802.202974%2.202974%2.2%12,04012.0k3072.167700%2.167700%2.2%10,25410.3k3111.980751%1.980751%2.0%9,0163421.767240%1.767240%1.8%8,7413731.557915%1.557915%1.6%6,8974040.778823%0.778823%0.8%3,3544310.767508%0.767508%0.8%3,0874320.698169%0.698169%0.7%2,9344330.554192%0.554192%0.6%2,2924340.465875%0.465875%0.5%1,928435
Count number of people in category
# rank of congressional district out of 435 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 Congressional District#88

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 Congressional District 4, selected other congressional districts in the United States, and entities that contain Congressional District 4
Female
Male
1x0x1xFM#VT-At LargeMD-4NY-21FL-2NH-2NY-19ME-2LA-5CA-2NC-3NY-23NC-2MI-1VA-5GA-11NC-9MS-3FL-17NC-7MN-6CA-4SC-6WI-1MD-5PA-7WI-7LA-1WI-6FL-15MN-8MI-4DE-At LargeSD-At LargeIL-15WisconsinFL-20ID-1IL-14WV-3MT-At LargeWA-1MidwestEast North CentralAR-3WI-4MilwaukeeUnited StatesMO-6MilwaukeeCA-31MD-3AZ-8CA-29WA-9HI-1CA-45CA-12TX-16CA-17-1.000000x-1.000000x1.442482x1.442482x1.44x6.676%6.68%9.629%9.63%1-1.000000x-1.000000x1.433793x1.433793x1.43x11.379%11.4%16.315%16.3%2-1.000000x-1.000000x1.431489x1.431489x1.43x9.110%9.11%13.041%13.0%3-1.000000x-1.000000x1.406739x1.406739x1.41x11.746%11.7%16.524%16.5%4-1.000000x-1.000000x1.406368x1.406368x1.41x6.441%6.44%9.058%9.06%5-1.000000x-1.000000x1.395098x1.395098x1.40x8.942%8.94%12.475%12.5%6-1.000000x-1.000000x1.382519x1.382519x1.38x8.100%8.10%11.198%11.2%7-1.000000x-1.000000x1.380361x1.380361x1.38x16.487%16.5%22.759%22.8%8-1.000000x-1.000000x1.355377x1.355377x1.36x8.217%8.22%11.138%11.1%9-1.000000x-1.000000x1.352106x1.352106x1.35x10.792%10.8%14.592%14.6%10-1.000000x-1.000000x1.350786x1.350786x1.35x8.999%9.00%12.156%12.2%11-1.000000x-1.000000x1.343940x1.343940x1.34x9.194%9.19%12.357%12.4%12-1.000000x-1.000000x1.341400x1.341400x1.34x7.178%7.18%9.629%9.63%13-1.000000x-1.000000x1.340690x1.340690x1.34x12.902%12.9%17.298%17.3%14-1.000000x-1.000000x1.338246x1.338246x1.34x8.972%8.97%12.007%12.0%15-1.000000x-1.000000x1.333667x1.333667x1.33x11.280%11.3%15.044%15.0%16-1.000000x-1.000000x1.329980x1.329980x1.33x13.012%13.0%17.305%17.3%17-1.000000x-1.000000x1.329963x1.329963x1.33x12.280%12.3%16.331%16.3%18-1.000000x-1.000000x1.325694x1.325694x1.33x13.151%13.2%17.434%17.4%19-1.000000x-1.000000x1.319854x1.319854x1.32x4.848%4.85%6.399%6.40%20-1.000000x-1.000000x1.314684x1.314684x1.31x6.383%6.38%8.392%8.39%21-1.000000x-1.000000x1.312512x1.312512x1.31x15.717%15.7%20.629%20.6%22-1.000000x-1.000000x1.308277x1.308277x1.31x7.523%7.52%9.842%9.84%23-1.000000x-1.000000x1.307441x1.307441x1.31x7.649%7.65%10.001%10.0%24-1.000000x-1.000000x1.304486x1.304486x1.30x6.399%6.40%8.348%8.35%25-1.000000x-1.000000x1.302339x1.302339x1.30x7.589%7.59%9.883%9.88%26-1.000000x-1.000000x1.300240x1.300240x1.30x11.839%11.8%15.393%15.4%27-1.000000x-1.000000x1.296739x1.296739x1.30x7.252%7.25%9.404%9.40%28-1.000000x-1.000000x1.294979x1.294979x1.29x11.209%11.2%14.515%14.5%29-1.000000x-1.000000x1.287829x1.287829x1.29x6.602%6.60%8.503%8.50%30-1.000000x-1.000000x1.286539x1.286539x1.29x8.571%8.57%11.027%11.0%32-1.000000x-1.000000x1.248925x1.248925x1.25x10.013%10.0%12.505%12.5%54-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%59-1.000000x-1.000000x1.243372x1.243372x1.24x10.096%10.1%12.553%12.6%63-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.203898x1.203898x1.20x16.697%16.7%20.101%20.1%94-1.000000x-1.000000x1.190133x1.190133x1.19x8.917%8.92%10.612%10.6%109-1.000000x-1.000000x1.180451x1.180451x1.18x6.021%6.02%7.107%7.11%125-1.000000x-1.000000x1.157111x1.157111x1.16x17.080%17.1%19.763%19.8%156-1.000000x-1.000000x1.152911x1.152911x1.15x6.604%6.60%7.614%7.61%159-1.000000x-1.000000x1.140243x1.140243x1.14x6.381%6.38%7.276%7.28%187-1.000000x-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-1.000000x1.120800x1.120800x1.12x14.231%14.2%15.950%15.9%218-1.000000x-1.000000x1.111204x1.111204x1.11x14.762%14.8%16.404%16.4%232-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.102051x1.102051x1.10x8.867%8.87%9.772%9.77%249-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.081916x1.081916x1.08x19.584%19.6%21.189%21.2%280-1.000000x-1.000000x1.054143x1.054143x1.05x8.210%8.21%8.654%8.65%311-1.000000x-1.000000x1.033577x1.033577x1.03x7.829%7.83%8.091%8.09%342-1.000000x-1.000000x1.008180x1.008180x1.01x31.847%31.8%32.107%32.1%373-1.038248x-1.038248x1.04x1.000000x1.000000x11.377%11.4%10.958%11.0%404-1.176023x-1.176023x1.18x1.000000x1.000000x10.181%10.2%8.657%8.66%431-1.178805x-1.178805x1.18x1.000000x1.000000x6.857%6.86%5.817%5.82%432-1.218514x-1.218514x1.22x1.000000x1.000000x13.569%13.6%11.136%11.1%433-1.262205x-1.262205x1.26x1.000000x1.000000x23.645%23.6%18.733%18.7%434-1.292315x-1.292315x1.29x1.000000x1.000000x10.559%10.6%8.171%8.17%435
F percentage of females in category
M percentage of males in category
# rank of congressional district out of 435 by male-to-female sex ratio

Over-Education Sex Ratio by Congressional District#89

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 Congressional District 4, selected other congressional districts in the United States, and entities that contain Congressional District 4
Female
Male
1x0x1x2x3xFM#UT-3UT-1TX-1UT-4WA-4AZ-8FL-17UT-2FL-19AL-5ID-2FL-21OH-10TX-17SC-3ID-1CA-36OH-8TX-4NC-10AR-3TX-16FL-18IN-3TX-34WV-2LA-5VA-9NE-3IN-2FL-11TX-22MI-1CA-17SD-At LargeIN-9MN-3East North CentralDE-At LargeMidwestMilwaukeeMT-At LargeWisconsinOR-1NY-4United StatesWI-4MilwaukeeTX-9KY-3AZ-9TN-5CA-29CA-40GA-14NY-15TX-29GA-13-1.000000x-1.000000x3.183849x3.183849x3.18x1.972%1.97%6.278%6.28%1-1.000000x-1.000000x2.672692x2.672692x2.67x1.216%1.22%3.251%3.25%2-1.000000x-1.000000x2.539624x2.539624x2.54x1.028%1.03%2.610%2.61%3-1.000000x-1.000000x2.406183x2.406183x2.41x1.298%1.30%3.124%3.12%4-1.000000x-1.000000x2.246758x2.246758x2.25x1.272%1.27%2.859%2.86%5-1.000000x-1.000000x2.240516x2.240516x2.24x1.491%1.49%3.341%3.34%6-1.000000x-1.000000x2.234282x2.234282x2.23x1.299%1.30%2.903%2.90%7-1.000000x-1.000000x2.222791x2.222791x2.22x2.453%2.45%5.453%5.45%8-1.000000x-1.000000x2.184344x2.184344x2.18x2.563%2.56%5.598%5.60%9-1.000000x-1.000000x2.145885x2.145885x2.15x1.580%1.58%3.390%3.39%10-1.000000x-1.000000x2.117959x2.117959x2.12x1.920%1.92%4.067%4.07%11-1.000000x-1.000000x2.107658x2.107658x2.11x2.765%2.77%5.828%5.83%12-1.000000x-1.000000x2.105558x2.105558x2.11x1.865%1.86%3.926%3.93%13-1.000000x-1.000000x2.070730x2.070730x2.07x2.339%2.34%4.842%4.84%14-1.000000x-1.000000x2.050311x2.050311x2.05x1.317%1.32%2.700%2.70%15-1.000000x-1.000000x2.041427x2.041427x2.04x1.456%1.46%2.972%2.97%16-1.000000x-1.000000x2.036752x2.036752x2.04x1.723%1.72%3.510%3.51%17-1.000000x-1.000000x2.026482x2.026482x2.03x1.198%1.20%2.427%2.43%18-1.000000x-1.000000x2.016885x2.016885x2.02x1.058%1.06%2.134%2.13%19-1.000000x-1.000000x2.002461x2.002461x2.00x1.329%1.33%2.662%2.66%20-1.000000x-1.000000x2.002381x2.002381x2.00x1.862%1.86%3.728%3.73%21-1.000000x-1.000000x1.998966x1.998966x2.00x1.238%1.24%2.475%2.48%22-1.000000x-1.000000x1.989995x1.989995x1.99x2.411%2.41%4.798%4.80%23-1.000000x-1.000000x1.985310x1.985310x1.99x1.222%1.22%2.426%2.43%24-1.000000x-1.000000x1.973009x1.973009x1.97x0.825%0.83%1.628%1.63%25-1.000000x-1.000000x1.970098x1.970098x1.97x1.534%1.53%3.023%3.02%26-1.000000x-1.000000x1.963301x1.963301x1.96x1.089%1.09%2.137%2.14%27-1.000000x-1.000000x1.961821x1.961821x1.96x1.726%1.73%3.386%3.39%28-1.000000x-1.000000x1.961119x1.961119x1.96x1.183%1.18%2.321%2.32%29-1.000000x-1.000000x1.952119x1.952119x1.95x1.413%1.41%2.759%2.76%30-1.000000x-1.000000x1.943607x1.943607x1.94x1.231%1.23%2.392%2.39%32-1.000000x-1.000000x1.813644x1.813644x1.81x3.328%3.33%6.036%6.04%63-1.000000x-1.000000x1.743059x1.743059x1.74x1.731%1.73%3.018%3.02%94-1.000000x-1.000000x1.689687x1.689687x1.69x4.168%4.17%7.042%7.04%125-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%141-1.000000x-1.000000x1.639574x1.639574x1.64x1.847%1.85%3.029%3.03%156-1.000000x-1.000000x1.605761x1.605761x1.61x3.466%3.47%5.566%5.57%187-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596530x1.596530x1.60x2.714%2.71%4.333%4.33%194-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.579164x1.579164x1.58x2.333%2.33%3.684%3.68%205-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.568020x1.568020x1.57x3.492%3.49%5.475%5.48%218-1.000000x-1.000000x1.528288x1.528288x1.53x4.015%4.01%6.135%6.14%249-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.507286x1.507286x1.51x2.285%2.29%3.444%3.44%263-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%-1.000000x-1.000000x1.480206x1.480206x1.48x2.002%2.00%2.963%2.96%280-1.000000x-1.000000x1.434346x1.434346x1.43x3.096%3.10%4.440%4.44%311-1.000000x-1.000000x1.363758x1.363758x1.36x3.483%3.48%4.749%4.75%342-1.000000x-1.000000x1.303491x1.303491x1.30x3.818%3.82%4.976%4.98%373-1.000000x-1.000000x1.199120x1.199120x1.20x1.104%1.10%1.324%1.32%404-1.000000x-1.000000x1.029003x1.029003x1.03x0.459%0.46%0.473%0.47%431-1.019053x-1.019053x1.02x1.000000x1.000000x1.981%1.98%1.944%1.94%432-1.024421x-1.024421x1.02x1.000000x1.000000x0.811%0.81%0.792%0.79%433-1.065976x-1.065976x1.07x1.000000x1.000000x0.721%0.72%0.676%0.68%434-1.093111x-1.093111x1.09x1.000000x1.000000x2.386%2.39%2.183%2.18%435
F percentage of females in category
M percentage of males in category
# rank of congressional district out of 435 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.

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Demographics

Income

Education

More Maps to Explore

State:
Wisconsin
Counties:
Milwaukee, Waukesha
Metro Area:
Milwaukee Area
Cities:
Cudahy, Glendale, Milwaukee, South Milwaukee, St. Francis
Villages:
Bayside, Brown Deer, Fox Point, Shorewood, West Milwaukee, Whitefish Bay
Unified School Districts:
Brown Deer, Cudahy, Menomonee Falls, Milwaukee, Shorewood, South Milwaukee, St. Francis, West Allis, Whitefish Bay
Elementary School Districts:
Fox Point Joint No. 2, Glendale-River Hills, Maple Dale-Indian Hill
Secondary School District:
Nicolet
ZIP Codes:
53051, 53110, 53154, 53172, 53202, 53203, 53204, 53205, 53206, 53207, 53208, 53209, 53210, 53211, 53212, 53213, 53214, 53215, 53216, 53217, 53218, 53219, 53220, 53221, 53222, 53223, 53224, 53225, 53226, 53227, 53228, 53233, 53235, 53295
Assembly Districts:
WI-7, WI-8, WI-9, WI-10, WI-11, WI-12, WI-13, WI-14, WI-16, WI-17, WI-18, WI-19, WI-20, WI-21, WI-22, WI-23, WI-24, WI-84
State Senate Districts:
WI-3, WI-4, WI-5, WI-6, WI-7, WI-8, WI-28
Neighboring Congressional Districts:
MI-2, WI-1, WI-5, WI-6
Nearby Congressional Districts:
IL-6, IL-9, IL-10