Educational Attainment in Assembly District 33, Wisconsin (Assembly District)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wisconsin and Assembly District 33
Assembly District 33
Wisconsin
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma236.608651%38.686675%36.608651%36.6%14,95515.0k56.630193%52.676105%56.630193%56.6%23,13423.1k6.761156%8.637220%6.761156%6.8%2,762
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 Assembly District 33
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-5.371420%-5.371420%-5.4%36.609%36.6%38.687%38.7%7.506416%7.506416%+7.5%56.630%56.6%52.676%52.7%-21.720689%-21.720689%-21.7%6.761%6.76%8.637%8.64%
% percentage with given level in Assembly District 33
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 Assembly District 33
Assembly District 33
Wisconsin
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.795574%1.094506%0.795574%0.8%3251.263127%1.609379%1.263127%1.3%5166.039020%6.922399%6.039020%6.0%2,46717.155027%18.747154%17.155027%17.2%7,00811.355903%10.313236%11.355903%11.4%4,63921.478054%20.983992%21.478054%21.5%8,77435.152138%31.692113%35.152138%35.2%14,36014.4k4.606986%5.657202%4.606986%4.6%1,8821.263127%2.130908%1.263127%1.3%5160.891043%0.849110%0.891043%0.9%364
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 Assembly District 33
-40%-20%-0%+20%+40%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-27.312056%-27.312056%-27.3%0.796%0.80%1.095%1.09%-21.514645%-21.514645%-21.5%1.263%1.26%1.609%1.61%-12.761174%-12.761174%-12.8%6.039%6.04%6.922%6.92%-8.492633%-8.492633%-8.5%17.155%17.2%18.747%18.7%10.109991%10.109991%+10.1%11.356%11.4%10.313%10.3%2.354474%2.354474%+2.4%21.478%21.5%20.984%21.0%10.917621%10.917621%+10.9%35.152%35.2%31.692%31.7%-18.564229%-18.564229%-18.6%4.607%4.61%5.657%5.66%-40.723533%-40.723533%-40.7%1.263%1.26%2.131%2.13%4.938503%4.938503%+4.9%0.891%0.89%0.849%0.85%
% percentage with given level in Assembly District 33
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 Assembly District 33
More Females More Males
Wisconsin
Assembly District 33
10%0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-12.225948%-9.820753%-12.225948%12%38.652%38.7%34.441%34.4%6.886442%3.687318%6.886442%7%54.799%54.8%58.573%58.6%6.674176%21.929118%6.674176%7%6.549%6.55%6.986%6.99%
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 Assembly District 33
More Females More Males
Wisconsin
Assembly District 33
0%50%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-17.047203%-17.047203%17%49.112245%0.856%0.86%0.731%0.73%85.037375%63.725126%85.037375%85%0.894%0.89%1.654%1.65%-38.553373%-26.714257%-38.553373%39%6.982%6.98%5.039%5.04%-8.713658%-10.314398%-8.713658%9%17.849%17.8%16.419%16.4%-13.899574%-14.230343%-13.899574%14%12.071%12.1%10.598%10.6%-5.442330%-1.828461%-5.442330%5%22.030%22.0%20.893%20.9%14.985968%7.484254%14.985968%15%32.769%32.8%37.680%37.7%26.036376%27.756322%26.036376%26%4.090%4.09%5.155%5.16%-37.391121%-37.391121%37%11.346432%1.455%1.46%1.059%1.06%-30.031197%-30.031197%30%12.366663%1.004%1.00%0.772%0.77%
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 Assembly District 33
Assembly District 33
Wisconsin
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3411.594674%12.755764%11.594674%11.6%1,0719,23716.805586%17.674080%16.805586%16.8%3,10518,47618.5k20.591427%22.171538%20.591427%20.6%1,5187,37222.788762%25.037795%22.788762%22.8%1,3145,766
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 Assembly District 33
8%6%4%2%0%%ref.65+45-6435-4425-34-9.102478%-9.102478%9.1%11.595%11.6%12.756%12.8%-4.913946%-4.913946%4.9%16.806%16.8%17.674%17.7%-7.126753%-7.126753%7.1%20.591%20.6%22.172%22.2%-8.982555%-8.982555%9.0%22.789%22.8%25.038%25.0%
% percentage in Assembly District 33 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 Assembly District 33
More Females More Males
Wisconsin
Assembly District 33
20%10%0%10%20%FM65+45-6435-4425-3428.682171%15.252186%28.682171%28.7%10.241%10.2%13.178%13.2%-9.731347%-8.291196%-9.731347%9.7%17.572%17.6%16.014%16.0%-27.359935%-22.719305%-27.359935%27.4%23.175%23.2%18.196%18.2%-21.218719%-29.514910%-21.218719%21.2%24.783%24.8%20.445%20.4%
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 Assembly District 33
Assembly District 33
Wisconsin
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$63,909.000000$61,842.000000$63,909.000000$63.9k3,3088.098%8.10%$46,953.000000$48,286.000000$46,953.000000$47.0k7,00817.155%17.2%$39,355.000000$34,771.000000$39,355.000000$39.4k13,41313.4k32.834%32.8%$31,464.000000$30,475.000000$31,464.000000$31.5k14,36014.4k35.152%35.2%$22,429.000000$22,317.000000$22,429.000000$22.4k2,7626.761%6.76%$39,098.000000$36,855.000000$39,098.000000$39.1k40,85140.9k100.000%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 Assembly District 33
Female Male
Wisconsin
Assembly District 33
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-60,671.000000$-55,037.000000$-60,671.000000$60.7k$60,671.000000$12,947.000000$55,037.000000$18,141.000000$73,618.000000$73.6k1,8361,472$-40,492.000000$-40,915.000000$-40,492.000000$40.5k$40,492.000000$19,667.000000$40,915.000000$18,355.000000$60,159.000000$60.2k3,7533,255$-31,132.000000$-28,362.000000$-31,132.000000$31.1k$31,132.000000$19,219.000000$28,362.000000$14,055.000000$50,351.000000$50.4k7,1706,243$-24,608.000000$-23,872.000000$-24,608.000000$24.6k$24,608.000000$14,748.000000$23,872.000000$12,519.000000$39,356.000000$39.4k6,8907,470$-21,935.000000$-16,775.000000$-21,935.000000$21.9k$21,935.000000$922.000000$16,775.000000$9,472.000000$22,857.000000$22.9k1,3771,385$-31,525.000000$-30,829.000000$-31,525.000000$31.5k$31,525.000000$14,164.000000$30,829.000000$12,328.000000$45,689.000000$45.7k21,02621.0k19,82519.8k
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Wisconsin and Assembly District 33
Assembly District 33
Wisconsin
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma385.602064%85.899471%85.602064%85.6%7,30182.150247%79.335494%82.150247%82.2%9,13177.468477%73.240943%77.468477%77.5%7,98751.024096%53.971506%51.024096%51.0%847
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Wisconsin and Assembly District 33
Female Male
Wisconsin
Assembly District 33
Shaded bar tips show excess over facing bar.
20%0%20%MFWhite1BlackAsianHispanic2Other1-5.399382%-5.697819%-5.399382%5.4%5.399382%0.734297%5.697819%1.469036%6.133679%6.1%1,1371,066-0.000000%-17.429079%0.000000%0.0%0.000000%0.000000%17.429079%2.936718%0.000000%0.0%00-2.608696%-14.441272%-4.641233%-2.608696%2.6%2.608696%12.719772%14.441272%15.328467%15.3%213-21.643519%-10.235676%-31.307944%-31.879195%31.9%21.643519%31.307944%5.178771%21.643519%21.6%187285-20.079523%-5.368506%-22.693686%-25.448029%25.4%20.079523%22.693686%3.979967%20.079523%20.1%101142
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Wisconsin and Assembly District 33
Female Male
Wisconsin
Assembly District 33
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-24.367481%-2.968790%-28.711494%-2.079187%-27.336271%27.3%24.367481%28.711494%24.367481%24.4%4,5175,397-20.338983%-29.661017%-11.717867%-3.588054%-50.000000%50.0%20.338983%11.717867%20.338983%20.3%2416-33.043478%-44.377167%-33.043478%33.0%33.043478%4.912726%44.377167%4.100638%37.956204%38.0%5238-9.619687%-10.433533%-4.583778%-9.619687%9.6%9.619687%2.880313%10.433533%12.500000%12.5%10886-14.516129%-13.316792%-4.610459%-14.516129%14.5%14.516129%2.978901%13.316792%17.495030%17.5%8881
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 Assembly District 33

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

Percentage of the population 25 years and older with given highest level of educational attainment
34.1%37.6%41.0%44.4%47.8%51.3%

Coarse: High School Diploma Educational Attainment by County#16

Percentage of the population 25 years and older with given highest level of educational attainment
44.6%47.1%49.6%52.0%54.5%57.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4.1%5.1%6.1%7.1%8.1%9.1%

Detailed: Doctorate Degree Educational Attainment by County#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.70%0.82%0.94%1.05%1.16%1.28%

Detailed: Professional Degree Educational Attainment by County#19

Percentage of the population 25 years and older with given highest level of educational attainment
1.02%1.35%1.68%2.01%2.34%2.67%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5.2%6.3%7.3%8.3%9.3%10.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
16.4%18.6%20.8%23.0%25.2%27.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
8.83%9.21%9.59%9.96%10.34%10.72%

Detailed: Some College Educational Attainment by County#23

Percentage of the population 25 years and older with given highest level of educational attainment
20.46%20.90%21.33%21.77%22.21%22.65%

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

Percentage of the population 25 years and older with given highest level of educational attainment
24.1%26.5%28.8%31.1%33.4%35.7%

Detailed: Some High School Educational Attainment by County#25

Percentage of the population 25 years and older with given highest level of educational attainment
2.6%3.3%3.9%4.6%5.2%5.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.14%1.43%1.72%2.01%2.31%2.60%

Detailed: None Educational Attainment by County#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.29%0.51%0.73%0.94%1.16%1.38%
Road Data ©OpenStreetMap

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Map of Educational Attainment by County Subdivision in Assembly District 33

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
21%38%53%69%84%100%

Coarse: High School Diploma Educational Attainment by County Subdivision#29

Percentage of the population 25 years and older with given highest level of educational attainment
0%14%28%41%55%70%

Coarse: No High School Diploma Educational Attainment by County Subdivision#30

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.4%4.8%7.2%9.6%12.0%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#31

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.0%2.0%3.0%4.0%5.0%

Detailed: Professional Degree Educational Attainment by County Subdivision#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.5%3.0%4.5%6.0%7.5%

Detailed: Master's Degree Educational Attainment by County Subdivision#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.2%4.3%6.5%8.7%10.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
9%18%26%35%43%52%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7%15%24%32%40%49%

Detailed: Some College Educational Attainment by County Subdivision#36

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%12%17%23%30%

Detailed: High School Diploma or Equivalent Educational Attainment by County Subdivision#37

Percentage of the population 25 years and older with given highest level of educational attainment
0%9%18%27%36%45%

Detailed: Some High School Educational Attainment by County Subdivision#38

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.7%3.4%5.1%6.7%8.5%

Detailed: Less than High School Educational Attainment by County Subdivision#39

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.49%0.99%1.48%1.98%2.47%

Detailed: None Educational Attainment by County Subdivision#40

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

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Map of Educational Attainment by Tract in Assembly District 33

Coarse: Post-Secondary Degree Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
26.2%31.2%36.2%41.2%46.2%51.2%

Coarse: High School Diploma Educational Attainment by Tract#42

Percentage of the population 25 years and older with given highest level of educational attainment
42.8%47.1%51.3%55.5%59.7%64.0%

Coarse: No High School Diploma Educational Attainment by Tract#43

Percentage of the population 25 years and older with given highest level of educational attainment
1.6%4.2%6.8%9.5%12.1%14.7%

Detailed: Doctorate Degree Educational Attainment by Tract#44

Percentage of the population 25 years and older with given highest level of educational attainment
0.18%0.66%1.14%1.61%2.08%2.56%

Detailed: Professional Degree Educational Attainment by Tract#45

Percentage of the population 25 years and older with given highest level of educational attainment
0.2%0.9%1.7%2.4%3.1%3.9%

Detailed: Master's Degree Educational Attainment by Tract#46

Percentage of the population 25 years and older with given highest level of educational attainment
2.9%4.7%6.4%8.1%9.8%11.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
10.9%14.2%17.5%20.9%24.2%27.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.0%8.7%10.3%11.9%13.5%15.1%

Detailed: Some College Educational Attainment by Tract#49

Percentage of the population 25 years and older with given highest level of educational attainment
16.4%19.5%22.5%25.6%28.6%31.7%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#50

Percentage of the population 25 years and older with given highest level of educational attainment
20.9%25.5%30.1%34.6%39.2%43.8%

Detailed: Some High School Educational Attainment by Tract#51

Percentage of the population 25 years and older with given highest level of educational attainment
0.9%2.6%4.3%6.0%7.7%9.5%

Detailed: Less than High School Educational Attainment by Tract#52

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.9%1.7%2.6%3.5%4.4%

Detailed: None Educational Attainment by Tract#53

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

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Educational Attainment by Place in Assembly District 33

There are 14 places that are fully or partially contained within Assembly District 33 (8 fully and 6 partially). This section compares all 14 of those to each other, Assembly District 33, and other entities that contain or substantially overlap with Assembly District 33.

No H.S. Diploma by Place#54

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Assembly District 33, selected places in Assembly District 33, and entities that contain Assembly District 33
0%5%10%Count#United States of AmericaUnited StatesFort AtkinsonEast North CentralSullivanMidwestJeffersonPalmyraWisconsinHelenvilleAssembly District 33WI-33HebronRomePotter LakeCambridgeLake RipleyLauderdale LakesLauderdale LksMukwonagoNorth PrairieEagle13.020590%13.020590%13.0%27,818,38027.8M11.970314%11.970314%12.0%1,000110.719464%10.719464%10.7%3,363,7843.36M10.392157%10.392157%10.4%53210.244520%10.244520%10.2%4,641,8354.64M9.679794%9.679794%9.7%52638.990670%8.990670%9.0%10648.637220%8.637220%8.6%336,096336k7.246377%7.246377%7.2%1056.761156%6.761156%6.8%2,7626.400000%6.400000%6.4%865.660377%5.660377%5.7%3074.878049%4.878049%4.9%4884.309392%4.309392%4.3%3993.873239%3.873239%3.9%55103.095238%3.095238%3.1%26112.798688%2.798688%2.8%145122.594194%2.594194%2.6%42132.315964%2.315964%2.3%2814
Count number of people in category
# rank of place out of 14 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#55

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Assembly District 33, selected places in Assembly District 33, and entities that contain Assembly District 33
0%10%20%30%40%Count#CambridgeLauderdale LakesLauderdale LksLake RipleyNorth PrairieUnited States of AmericaUnited StatesMukwonagoMidwestEast North CentralWisconsinEagleAssembly District 33WI-33Potter LakeFort AtkinsonJeffersonSullivanRomePalmyraHelenvilleHebron44.309392%44.309392%44.3%401141.428571%41.428571%41.4%348236.549296%36.549296%36.5%519331.562693%31.562693%31.6%511430.315023%30.315023%30.3%64,767,78764.8M29.608184%29.608184%29.6%1,534528.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M26.468156%26.468156%26.5%320625.252748%25.252748%25.3%10,31610.3k24.491870%24.491870%24.5%241722.276754%22.276754%22.3%1,861819.377990%19.377990%19.4%1,053918.235294%18.235294%18.2%931014.716981%14.716981%14.7%781114.079729%14.079729%14.1%1661213.043478%13.043478%13.0%181312.800000%12.800000%12.8%1614
Count number of people in category
# rank of place out of 14 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#56

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Assembly District 33, selected places in Assembly District 33, and entities that contain Assembly District 33
0%1%2%3%4%5%6%Count#Lauderdale LakesLauderdale LksCambridgeUnited States of AmericaUnited StatesHelenvilleMidwestEast North CentralWisconsinJeffersonAssembly District 33WI-33Lake RipleyNorth PrairieMukwonagoFort AtkinsonPotter LakePalmyraSullivanEagleRomeHebron6.190476%6.190476%6.2%5214.088398%4.088398%4.1%3723.336158%3.336158%3.3%7,127,6737.13M2.898551%2.898551%2.9%432.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.079499%2.079499%2.1%11342.058701%2.058701%2.1%8412.042254%2.042254%2.0%2952.038295%2.038295%2.0%3361.891527%1.891527%1.9%9871.687814%1.687814%1.7%14181.321138%1.321138%1.3%1390.848176%0.848176%0.8%10100.784314%0.784314%0.8%4110.744417%0.744417%0.7%9120.000000%0.000000%0.0%0130.000000%0.000000%0.0%014
Count number of people in category
# rank of place out of 14 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by Place#57

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 Assembly District 33, selected places in Assembly District 33, and entities that contain Assembly District 33
Female
Male
0x2x4xFM#Lake RipleyPalmyraEaglePotter LakeSullivanNorth PrairieWisconsinMidwestEast North CentralUnited StatesRomeWI-33CambridgeMukwonagoHelenvilleJeffersonFort AtkinsonLauderdale LksHebron-1.000000x-1.000000x4.241450x4.241450x4.24x1.451%1.45%6.156%6.16%1-1.000000x-1.000000x2.478690x2.478690x2.48x5.297%5.30%13.129%13.1%2-1.000000x-1.000000x1.913652x1.913652x1.91x1.605%1.61%3.072%3.07%3-1.000000x-1.000000x1.600266x1.600266x1.60x3.734%3.73%5.976%5.98%4-1.000000x-1.000000x1.572104x1.572104x1.57x7.895%7.89%12.411%12.4%5-1.000000x-1.000000x1.461533x1.461533x1.46x2.107%2.11%3.079%3.08%6-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.081751x1.081751x1.08x5.461%5.46%5.907%5.91%7-1.000000x-1.000000x1.066742x1.066742x1.07x6.549%6.55%6.986%6.99%-1.128623x-1.128623x1.13x1.000000x1.000000x4.565%4.57%4.045%4.04%8-1.139805x-1.139805x1.14x1.000000x1.000000x2.971%2.97%2.607%2.61%9-1.190476x-1.190476x1.19x1.000000x1.000000x7.937%7.94%6.667%6.67%10-1.196956x-1.196956x1.20x1.000000x1.000000x10.488%10.5%8.762%8.76%11-1.335183x-1.335183x1.34x1.000000x1.000000x13.507%13.5%10.116%10.1%12-1.521640x-1.521640x1.52x1.000000x1.000000x3.778%3.78%2.483%2.48%13-1.988304x-1.988304x1.99x1.000000x1.000000x8.772%8.77%4.412%4.41%14
F percentage of females in category
M percentage of males in category
# rank of place out of 14 by male-to-female sex ratio

Over-Education Sex Ratio by Place#58

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 Assembly District 33, selected places in Assembly District 33, and entities that contain Assembly District 33
Female
Male
10x5x0x5x10xFM#Potter LakeLauderdale LksSullivanLake RipleyEagleMukwonagoEast North CentralMidwestWisconsinUnited StatesWI-33CambridgeFort AtkinsonJeffersonNorth PrairiePalmyraHelenville-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.590%2.59%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.738%11.7%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.418%1.42%3-1.000000x-1.000000x3.613087x3.613087x3.61x0.871%0.87%3.146%3.15%4-1.000000x-1.000000x2.126280x2.126280x2.13x0.482%0.48%1.024%1.02%5-1.000000x-1.000000x1.912333x1.912333x1.91x1.321%1.32%2.525%2.53%6-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.363191x1.363191x1.36x1.750%1.75%2.386%2.39%-1.000000x-1.000000x1.356742x1.356742x1.36x3.478%3.48%4.719%4.72%7-1.000000x-1.000000x1.332608x1.332608x1.33x1.467%1.47%1.955%1.95%8-1.000000x-1.000000x1.038966x1.038966x1.04x2.042%2.04%2.122%2.12%9-1.069083x-1.069083x1.07x1.000000x1.000000x2.107%2.11%1.970%1.97%10-1.338684x-1.338684x1.34x1.000000x1.000000x0.963%0.96%0.719%0.72%11-10.000000x-10.000000x> 10.0x1.000000x1.000000x6.349%6.35%0.000%0%12
F percentage of females in category
M percentage of males in category
# rank of place out of 12 by male-to-female sex ratio

Educational Attainment by Metro Area in Assembly District 33

There are 3 metro areas that are fully or partially contained within Assembly District 33 (0 fully and 3 partially). This section compares all 3 of those to each other, Assembly District 33, and other entities that contain or substantially overlap with Assembly District 33.

No H.S. Diploma by Metro Area#59

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Assembly District 33, selected metro areas in Assembly District 33, and entities that contain Assembly District 33
0%5%10%Count#United States of AmericaUnited StatesEast North CentralMidwestMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeWhitewater and Elkhorn Metro AreaWhitewaterWatertown and Fort Atkinson Metro AreaWatertownWisconsinAssembly District 33WI-3313.020590%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%100,754101k19.074810%9.074810%9.1%6,09828.872860%8.872860%8.9%5,06838.637220%8.637220%8.6%336,096336k6.761156%6.761156%6.8%2,762
Count number of people in category
# rank of metro area out of 3 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Metro Area#60

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Assembly District 33, selected metro areas in Assembly District 33, and entities that contain Assembly District 33
0%10%20%30%Count#Milwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinWhitewater and Elkhorn Metro AreaWhitewaterAssembly District 33WI-33Watertown and Fort Atkinson Metro AreaWatertown33.810164%33.810164%33.8%355,854356k130.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.818206%27.818206%27.8%18,69318.7k225.252748%25.252748%25.3%10,31610.3k23.470710%23.470710%23.5%13,40613.4k3
Count number of people in category
# rank of metro area out of 3 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Metro Area#61

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Assembly District 33, selected metro areas in Assembly District 33, and entities that contain Assembly District 33
0%1%2%3%Count#United States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMidwestEast North CentralWisconsinWhitewater and Elkhorn Metro AreaWhitewaterAssembly District 33WI-33Watertown and Fort Atkinson Metro AreaWatertown3.336158%3.336158%3.3%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k12.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.573032%2.573032%2.6%1,72922.058701%2.058701%2.1%8411.735005%1.735005%1.7%9913
Count number of people in category
# rank of metro area out of 3 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#62

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 Assembly District 33, selected metro areas in Assembly District 33, and entities that contain Assembly District 33
Female
Male
1x0x1xFM#WhitewaterWisconsinMidwestEast North CentralUnited StatesMilwaukeeWatertownWI-33-1.000000x-1.000000x1.312179x1.312179x1.31x7.868%7.87%10.324%10.3%1-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%2-1.000000x-1.000000x1.074639x1.074639x1.07x8.559%8.56%9.197%9.20%3-1.000000x-1.000000x1.066742x1.066742x1.07x6.549%6.55%6.986%6.99%
F percentage of females in category
M percentage of males in category
# rank of metro area out of 3 by male-to-female sex ratio

Over-Education Sex Ratio by Metro Area#63

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 Assembly District 33, selected metro areas in Assembly District 33, and entities that contain Assembly District 33
Female
Male
1x0x1xFM#WhitewaterWatertownEast North CentralMidwestMilwaukeeWisconsinUnited StatesWI-33-1.000000x-1.000000x1.769950x1.769950x1.77x1.867%1.87%3.304%3.30%1-1.000000x-1.000000x1.652660x1.652660x1.65x1.313%1.31%2.170%2.17%2-1.000000x-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%3-1.000000x-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-1.000000x1.363191x1.363191x1.36x1.750%1.75%2.386%2.39%
F percentage of females in category
M percentage of males in category
# rank of metro area out of 3 by male-to-female sex ratio

Educational Attainment by County in Assembly District 33

There are 3 counties that are fully or partially contained within Assembly District 33 (0 fully and 3 partially). This section compares all 3 of those to each other, Assembly District 33, and other entities that contain or substantially overlap with Assembly District 33.

No H.S. Diploma by County#64

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Assembly District 33, selected counties in Assembly District 33, and entities that contain Assembly District 33
0%5%10%Count#United States of AmericaUnited StatesEast North CentralMidwestWalworth CountyWalworthJefferson CountyJeffersonWisconsinAssembly District 33WI-33Waukesha CountyWaukesha13.020590%13.020590%13.0%27,818,38027.8M10.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M9.074810%9.074810%9.1%6,09818.872860%8.872860%8.9%5,06828.637220%8.637220%8.6%336,096336k6.761156%6.761156%6.8%2,7624.116150%4.116150%4.1%11,37011.4k3
Count number of people in category
# rank of county out of 3 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#65

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Assembly District 33, selected counties in Assembly District 33, and entities that contain Assembly District 33
0%10%20%30%40%Count#Waukesha CountyWaukeshaUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinWalworth CountyWalworthAssembly District 33WI-33Jefferson CountyJefferson41.623436%41.623436%41.6%114,976115k130.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.818206%27.818206%27.8%18,69318.7k225.252748%25.252748%25.3%10,31610.3k23.470710%23.470710%23.5%13,40613.4k3
Count number of people in category
# rank of county out of 3 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#66

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Assembly District 33, selected counties in Assembly District 33, and entities that contain Assembly District 33
0%1%2%3%Count#Waukesha CountyWaukeshaUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinWalworth CountyWalworthAssembly District 33WI-33Jefferson CountyJefferson3.942743%3.942743%3.9%10,89110.9k13.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.573032%2.573032%2.6%1,72922.058701%2.058701%2.1%8411.735005%1.735005%1.7%9913
Count number of people in category
# rank of county out of 3 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#67

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 Assembly District 33, selected counties in Assembly District 33, and entities that contain Assembly District 33
Female
Male
1x0x1xFM#WalworthWisconsinWaukeshaMidwestEast North CentralUnited StatesJeffersonWI-33-1.000000x-1.000000x1.312179x1.312179x1.31x7.868%7.87%10.324%10.3%1-1.000000x-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%2-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.074639x1.074639x1.07x8.559%8.56%9.197%9.20%3-1.000000x-1.000000x1.066742x1.066742x1.07x6.549%6.55%6.986%6.99%
F percentage of females in category
M percentage of males in category
# rank of county out of 3 by male-to-female sex ratio

Over-Education Sex Ratio by County#68

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 Assembly District 33, selected counties in Assembly District 33, and entities that contain Assembly District 33
Female
Male
1x0x1xFM#WalworthWaukeshaJeffersonEast North CentralMidwestWisconsinUnited StatesWI-33-1.000000x-1.000000x1.769950x1.769950x1.77x1.867%1.87%3.304%3.30%1-1.000000x-1.000000x1.695850x1.695850x1.70x2.951%2.95%5.005%5.00%2-1.000000x-1.000000x1.652660x1.652660x1.65x1.313%1.31%2.170%2.17%3-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.363191x1.363191x1.36x1.750%1.75%2.386%2.39%
F percentage of females in category
M percentage of males in category
# rank of county out of 3 by male-to-female sex ratio

Educational Attainment by County Subdivision in Assembly District 33

There are 21 county subdivisions that are fully or partially contained within Assembly District 33 (13 fully and 8 partially). This section compares all 21 of those to each other, Assembly District 33, and other entities that contain or substantially overlap with Assembly District 33.

No H.S. Diploma by County Subdivision#69

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Assembly District 33, selected county subdivisions in Assembly District 33, and entities that contain Assembly District 33
0%5%10%Count#United States of AmericaUnited StatesFort AtkinsonEast North CentralSullivanMidwestJeffersonTown of HebronHebronPalmyraTown of JeffersonJeffersonTown of AztalanAztalanWisconsinTown of PalmyraPalmyraTown of KoshkonongKoshkonongAssembly District 33WI-33Town of SullivanSullivanTown of TroyTown of East TroyE TroyTown of OaklandOaklandCambridgeTown of La GrangeLa GrangeMukwonagoTown of MukwonagoMukwonagoNorth PrairieEagleTown of EagleMukwonago13.020590%13.020590%13.0%27,818,38027.8M11.970314%11.970314%12.0%1,000110.719464%10.719464%10.7%3,363,7843.36M10.392157%10.392157%10.4%53210.244520%10.244520%10.2%4,641,8354.64M9.679794%9.679794%9.7%52639.177592%9.177592%9.2%7748.990670%8.990670%9.0%10658.730692%8.730692%8.7%13068.707608%8.707608%8.7%9578.637220%8.637220%8.6%336,096336k7.488479%7.488479%7.5%6587.166483%7.166483%7.2%19596.761156%6.761156%6.8%2,7626.220930%6.220930%6.2%107105.654934%5.654934%5.7%98115.515959%5.515959%5.5%178125.177220%5.177220%5.2%130135.000000%5.000000%5.0%2142.901666%2.901666%2.9%54152.819914%2.819914%2.8%145162.790041%2.790041%2.8%158172.594194%2.594194%2.6%42182.315964%2.315964%2.3%28191.852614%1.852614%1.9%45200.000000%0.000000%0.0%021
Count number of people in category
# rank of county subdivision out of 21 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#70

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Assembly District 33, selected county subdivisions in Assembly District 33, and entities that contain Assembly District 33
0%10%20%30%40%50%Count#MukwonagoCambridgeTown of La GrangeLa GrangeTown of MukwonagoMukwonagoNorth PrairieTown of KoshkonongKoshkonongTown of East TroyE TroyUnited States of AmericaUnited StatesTown of PalmyraPalmyraMukwonagoMidwestEast North CentralWisconsinTown of TroyTown of OaklandOaklandEagleTown of EagleTown of AztalanAztalanAssembly District 33WI-33Fort AtkinsonJeffersonTown of JeffersonJeffersonSullivanTown of HebronHebronTown of SullivanSullivanPalmyra51.282051%51.282051%51.3%20140.000000%40.000000%40.0%16236.754433%36.754433%36.8%684335.740773%35.740773%35.7%2,024431.562693%31.562693%31.6%511531.091510%31.091510%31.1%846630.895569%30.895569%30.9%997730.315023%30.315023%30.3%64,767,78764.8M30.069124%30.069124%30.1%261829.443796%29.443796%29.4%1,514928.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.274668%28.274668%28.3%4901026.642772%26.642772%26.6%6691126.468156%26.468156%26.5%3201226.183615%26.183615%26.2%6361325.389551%25.389551%25.4%2771425.252748%25.252748%25.3%10,31610.3k22.276754%22.276754%22.3%1,8611519.377990%19.377990%19.4%1,0531619.341840%19.341840%19.3%2881718.235294%18.235294%18.2%931817.878427%17.878427%17.9%1501917.267442%17.267442%17.3%2972014.079729%14.079729%14.1%16621
Count number of people in category
# rank of county subdivision out of 21 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#71

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Assembly District 33, selected county subdivisions in Assembly District 33, and entities that contain Assembly District 33
0%5%10%Count#CambridgeTown of East TroyE TroyTown of KoshkonongKoshkonongTown of La GrangeLa GrangeTown of MukwonagoMukwonagoUnited States of AmericaUnited StatesMidwestTown of EagleEast North CentralWisconsinTown of AztalanAztalanJeffersonAssembly District 33WI-33North PrairieTown of OaklandOaklandTown of HebronHebronMukwonagoTown of TroyTown of JeffersonJeffersonFort AtkinsonTown of SullivanSullivanTown of PalmyraPalmyraPalmyraSullivanEagleMukwonago12.500000%12.500000%12.5%514.555315%4.555315%4.6%14724.410143%4.410143%4.4%12033.546480%3.546480%3.5%6643.355112%3.355112%3.4%19053.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.881844%2.881844%2.9%7062.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.383135%2.383135%2.4%2672.079499%2.079499%2.1%11382.058701%2.058701%2.1%8412.038295%2.038295%2.0%3392.031063%2.031063%2.0%51101.907032%1.907032%1.9%16111.905873%1.905873%1.9%98121.904212%1.904212%1.9%33131.880457%1.880457%1.9%28141.687814%1.687814%1.7%141151.627907%1.627907%1.6%28160.921659%0.921659%0.9%8170.848176%0.848176%0.8%10180.784314%0.784314%0.8%4190.744417%0.744417%0.7%9200.000000%0.000000%0.0%021
Count number of people in category
# rank of county subdivision out of 21 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#72

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 Assembly District 33, selected county subdivisions in Assembly District 33, and entities that contain Assembly District 33
Female
Male
0x5x10xFM#Town of EagleCambridgeE TroyTown of TroyPalmyraOaklandPalmyraAztalanEagleHebronMukwonagoSullivanLa GrangeNorth PrairieKoshkonongWisconsinMidwestEast North CentralUnited StatesSullivanWI-33JeffersonMukwonagoJeffersonFort Atkinson-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.896%3.90%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.765%11.8%2-1.000000x-1.000000x4.481829x4.481829x4.48x1.977%1.98%8.861%8.86%3-1.000000x-1.000000x3.868621x3.868621x3.87x2.317%2.32%8.966%8.97%4-1.000000x-1.000000x3.266667x3.266667x3.27x3.571%3.57%11.667%11.7%5-1.000000x-1.000000x3.032383x3.032383x3.03x2.535%2.53%7.686%7.69%6-1.000000x-1.000000x2.478690x2.478690x2.48x5.297%5.30%13.129%13.1%7-1.000000x-1.000000x2.448797x2.448797x2.45x4.912%4.91%12.027%12.0%8-1.000000x-1.000000x1.913652x1.913652x1.91x1.605%1.61%3.072%3.07%9-1.000000x-1.000000x1.865742x1.865742x1.87x6.357%6.36%11.860%11.9%10-1.000000x-1.000000x1.731706x1.731706x1.73x2.029%2.03%3.514%3.51%11-1.000000x-1.000000x1.572104x1.572104x1.57x7.895%7.89%12.411%12.4%12-1.000000x-1.000000x1.487597x1.487597x1.49x2.320%2.32%3.452%3.45%13-1.000000x-1.000000x1.461533x1.461533x1.46x2.107%2.11%3.079%3.08%14-1.000000x-1.000000x1.402916x1.402916x1.40x5.932%5.93%8.321%8.32%15-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.095244x1.095244x1.10x5.943%5.94%6.509%6.51%16-1.000000x-1.000000x1.066742x1.066742x1.07x6.549%6.55%6.986%6.99%-1.042524x-1.042524x1.04x1.000000x1.000000x8.916%8.92%8.553%8.55%17-1.139343x-1.139343x1.14x1.000000x1.000000x2.993%2.99%2.627%2.63%18-1.196956x-1.196956x1.20x1.000000x1.000000x10.488%10.5%8.762%8.76%19-1.335183x-1.335183x1.34x1.000000x1.000000x13.507%13.5%10.116%10.1%20
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 20 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#73

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 Assembly District 33, selected county subdivisions in Assembly District 33, and entities that contain Assembly District 33
Female
Male
5x0x5x10xFM#SullivanLa GrangeKoshkonongTown of EagleE TroyEagleAztalanMukwonagoSullivanEast North CentralMidwestWisconsinUnited StatesWI-33OaklandFort AtkinsonJeffersonHebronNorth PrairieCambridgeMukwonagoPalmyraPalmyraJeffersonTown of Troy-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.418%1.42%1-1.000000x-1.000000x5.301255x5.301255x5.30x1.105%1.10%5.858%5.86%2-1.000000x-1.000000x4.971738x4.971738x4.97x1.445%1.44%7.183%7.18%3-1.000000x-1.000000x3.722727x3.722727x3.72x1.256%1.26%4.675%4.68%4-1.000000x-1.000000x3.396624x3.396624x3.40x2.041%2.04%6.932%6.93%5-1.000000x-1.000000x2.126280x2.126280x2.13x0.482%0.48%1.024%1.02%6-1.000000x-1.000000x1.967784x1.967784x1.97x1.572%1.57%3.093%3.09%7-1.000000x-1.000000x1.913109x1.913109x1.91x1.330%1.33%2.545%2.55%8-1.000000x-1.000000x1.600323x1.600323x1.60x1.257%1.26%2.012%2.01%9-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.363191x1.363191x1.36x1.750%1.75%2.386%2.39%-1.000000x-1.000000x1.356477x1.356477x1.36x1.717%1.72%2.329%2.33%10-1.000000x-1.000000x1.332608x1.332608x1.33x1.467%1.47%1.955%1.95%11-1.000000x-1.000000x1.038966x1.038966x1.04x2.042%2.04%2.122%2.12%12-1.051345x-1.051345x1.05x1.000000x1.000000x1.956%1.96%1.860%1.86%13-1.069083x-1.069083x1.07x1.000000x1.000000x2.107%2.11%1.970%1.97%14-1.108696x-1.108696x1.11x1.000000x1.000000x13.043%13.0%11.765%11.8%15-1.299297x-1.299297x1.30x1.000000x1.000000x3.804%3.80%2.928%2.93%16-1.338684x-1.338684x1.34x1.000000x1.000000x0.963%0.96%0.719%0.72%17-1.562500x-1.562500x1.56x1.000000x1.000000x1.116%1.12%0.714%0.71%18-2.200884x-2.200884x2.20x1.000000x1.000000x2.606%2.61%1.184%1.18%19-5.645423x-5.645423x5.65x1.000000x1.000000x3.244%3.24%0.575%0.57%20
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 20 by male-to-female sex ratio

Educational Attainment by Lower State Legislative District in Wisconsin

There are 99 lower state legislative districts in Wisconsin. This section compares Assembly District 33 to all of the lower state legislative districts in Wisconsin and to those entities that contain or substantially overlap with Assembly District 33.

No H.S. Diploma by Lower State Legislative District#74

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Assembly District 33, selected other lower state legislative districts in Wisconsin, and entities that contain Assembly District 33
0%10%20%30%40%Count#Assembly District 8WI-8Assembly District 9WI-9Assembly District 66WI-66Assembly District 16WI-16Assembly District 18WI-18Assembly District 10WI-10Assembly District 11WI-11Assembly District 90WI-90Assembly District 12WI-12Assembly District 45WI-45Assembly District 65WI-65United States of AmericaUnited StatesAssembly District 7WI-7Assembly District 69WI-69Assembly District 17WI-17Assembly District 87WI-87Assembly District 50WI-50Assembly District 41WI-41Assembly District 96WI-96East North CentralAssembly District 68WI-68Assembly District 92WI-92Assembly District 36WI-36Assembly District 53WI-53MidwestAssembly District 85WI-85Assembly District 25WI-25Assembly District 20WI-20Assembly District 35WI-35Assembly District 39WI-39Assembly District 32WI-32Assembly District 75WI-75Assembly District 40WI-40Assembly District 57WI-57WisconsinAssembly District 54WI-54Assembly District 88WI-88Assembly District 27WI-27Assembly District 47WI-47Assembly District 33WI-33Assembly District 4WI-4Assembly District 5WI-5Assembly District 55WI-55Assembly District 46WI-46Assembly District 24WI-24Assembly District 76WI-76Assembly District 13WI-13Assembly District 99WI-99Assembly District 79WI-79Assembly District 30WI-30Assembly District 78WI-78Assembly District 23WI-2341.110660%41.110660%41.1%12,16312.2k128.647460%28.647460%28.6%9,904221.043659%21.043659%21.0%7,283320.969327%20.969327%21.0%6,187417.965462%17.965462%18.0%5,805517.189208%17.189208%17.2%5,976616.494413%16.494413%16.5%5,506716.402712%16.402712%16.4%6,121814.890819%14.890819%14.9%5,435914.641560%14.641560%14.6%5,4431013.229520%13.229520%13.2%4,9191113.020590%13.020590%13.0%27,818,38027.8M12.976752%12.976752%13.0%5,4201212.457149%12.457149%12.5%4,7241312.293073%12.293073%12.3%4,5151411.959211%11.959211%12.0%4,7851511.923210%11.923210%11.9%4,8321611.272010%11.272010%11.3%4,6861711.204196%11.204196%11.2%4,4001810.719464%10.719464%10.7%3,363,7843.36M10.704721%10.704721%10.7%4,1971910.674046%10.674046%10.7%4,3012010.632470%10.632470%10.6%4,3862110.631119%10.631119%10.6%4,4742210.244520%10.244520%10.2%4,641,8354.64M10.066133%10.066133%10.1%4,0642310.015389%10.015389%10.0%3,970249.871874%9.871874%9.9%4,307259.865546%9.865546%9.9%4,109269.784140%9.784140%9.8%3,889279.603229%9.603229%9.6%3,783289.593588%9.593588%9.6%3,902299.498027%9.498027%9.5%3,947308.883965%8.883965%8.9%3,368368.637220%8.637220%8.6%336,096336k8.303948%8.303948%8.3%2,873437.627340%7.627340%7.6%2,917507.459131%7.459131%7.5%2,975576.852786%6.852786%6.9%2,921646.761156%6.761156%6.8%2,762676.479514%6.479514%6.5%2,622715.777334%5.777334%5.8%2,317775.706762%5.706762%5.7%2,319785.351689%5.351689%5.4%2,173824.845219%4.845219%4.8%2,005854.385571%4.385571%4.4%1,268883.768904%3.768904%3.8%1,595923.053817%3.053817%3.1%1,220952.849282%2.849282%2.8%1,191962.848127%2.848127%2.8%1,065972.814320%2.814320%2.8%1,213982.361914%2.361914%2.4%96099
Count number of people in category
# rank of lower state legislative district out of 99 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Lower State Legislative District#75

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Assembly District 33, selected other lower state legislative districts in Wisconsin, and entities that contain Assembly District 33
0%20%40%60%Count#Assembly District 78WI-78Assembly District 77WI-77Assembly District 76WI-76Assembly District 19WI-19Assembly District 23WI-23Assembly District 14WI-14Assembly District 79WI-79Assembly District 13WI-13Assembly District 99WI-99Assembly District 24WI-24Assembly District 47WI-47Assembly District 30WI-30Assembly District 80WI-80Assembly District 98WI-98Assembly District 48WI-48Assembly District 46WI-46Assembly District 22WI-22Assembly District 82WI-82Assembly District 60WI-60Assembly District 38WI-38Assembly District 97WI-97Assembly District 88WI-88Assembly District 55WI-55Assembly District 83WI-83Assembly District 95WI-95Assembly District 56WI-56Assembly District 91WI-91Assembly District 84WI-84Assembly District 94WI-94Assembly District 71WI-71United States of AmericaUnited StatesMidwestAssembly District 62WI-62East North CentralWisconsinAssembly District 61WI-61Assembly District 32WI-32Assembly District 33WI-33Assembly District 5WI-5Assembly District 2WI-2Assembly District 17WI-17Assembly District 26WI-26Assembly District 59WI-59Assembly District 92WI-92Assembly District 50WI-50Assembly District 45WI-45Assembly District 36WI-36Assembly District 66WI-66Assembly District 9WI-9Assembly District 8WI-865.262987%65.262987%65.3%28,12928.1k164.960705%64.960705%65.0%23,88823.9k261.498288%61.498288%61.5%17,78117.8k361.310312%61.310312%61.3%24,53724.5k461.296592%61.296592%61.3%24,91424.9k559.003953%59.003953%59.0%24,18124.2k651.574163%51.574163%51.6%21,55821.6k749.893667%49.893667%49.9%21,11521.1k845.954944%45.954944%46.0%18,35918.4k943.865542%43.865542%43.9%18,15218.2k1043.554252%43.554252%43.6%18,56518.6k1142.989330%42.989330%43.0%16,07516.1k1241.403409%41.403409%41.4%17,41817.4k1340.933754%40.933754%40.9%16,59716.6k1438.317848%38.317848%38.3%15,79515.8k1538.190819%38.190819%38.2%15,50715.5k1638.111922%38.111922%38.1%15,88215.9k1737.137340%37.137340%37.1%15,77015.8k1835.777861%35.777861%35.8%14,27014.3k1935.424998%35.424998%35.4%14,61614.6k2034.543885%34.543885%34.5%12,80312.8k2133.783077%33.783077%33.8%12,92012.9k2233.261148%33.261148%33.3%13,51613.5k2333.228548%33.228548%33.2%13,53013.5k2433.038635%33.038635%33.0%11,21111.2k2532.455247%32.455247%32.5%13,38013.4k2632.335259%32.335259%32.3%11,08011.1k2732.074086%32.074086%32.1%13,97514.0k2831.992066%31.992066%32.0%12,90412.9k2931.852224%31.852224%31.9%11,39811.4k3030.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.668773%28.668773%28.7%11,61211.6k3628.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.082059%27.082059%27.1%11,06611.1k4325.306527%25.306527%25.3%9,9695025.252748%25.252748%25.3%10,31610.3k5124.782446%24.782446%24.8%9,9395524.629593%24.629593%24.6%9,8415721.463189%21.463189%21.5%7,8836420.510881%20.510881%20.5%8,1347119.471784%19.471784%19.5%7,8747817.352459%17.352459%17.4%6,9928515.984800%15.984800%16.0%6,4789215.615333%15.615333%15.6%5,8059514.331774%14.331774%14.3%5,9129613.895230%13.895230%13.9%4,8099710.968414%10.968414%11.0%3,792987.108092%7.108092%7.1%2,10399
Count number of people in category
# rank of lower state legislative district out of 99 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Lower State Legislative District#76

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Assembly District 33, selected other lower state legislative districts in Wisconsin, and entities that contain Assembly District 33
0%5%10%15%Count#Assembly District 77WI-77Assembly District 78WI-78Assembly District 23WI-23Assembly District 76WI-76Assembly District 19WI-19Assembly District 14WI-14Assembly District 79WI-79Assembly District 13WI-13Assembly District 24WI-24Assembly District 47WI-47Assembly District 95WI-95Assembly District 10WI-10Assembly District 99WI-99Assembly District 80WI-80Assembly District 94WI-94Assembly District 30WI-30Assembly District 48WI-48United States of AmericaUnited StatesAssembly District 71WI-71Assembly District 88WI-88Assembly District 60WI-60Assembly District 69WI-69Assembly District 82WI-82Assembly District 46WI-46Assembly District 98WI-98MidwestEast North CentralAssembly District 84WI-84Assembly District 43WI-43Assembly District 22WI-22Assembly District 56WI-56Assembly District 38WI-38WisconsinAssembly District 55WI-55Assembly District 31WI-31Assembly District 74WI-74Assembly District 33WI-33Assembly District 53WI-53Assembly District 52WI-52Assembly District 89WI-89Assembly District 5WI-5Assembly District 7WI-7Assembly District 25WI-25Assembly District 40WI-40Assembly District 36WI-36Assembly District 17WI-17Assembly District 90WI-90Assembly District 8WI-8Assembly District 9WI-916.805809%16.805809%16.8%6,18019.937124%9.937124%9.9%4,28329.932341%9.932341%9.9%4,03739.417909%9.417909%9.4%2,72348.587991%8.587991%8.6%3,43758.315846%8.315846%8.3%3,40867.674641%7.674641%7.7%3,20877.041588%7.041588%7.0%2,98085.352698%5.352698%5.4%2,21595.114370%5.114370%5.1%2,180104.809477%4.809477%4.8%1,632114.510154%4.510154%4.5%1,568124.370463%4.370463%4.4%1,746134.259669%4.259669%4.3%1,792143.560183%3.560183%3.6%1,436153.465889%3.465889%3.5%1,296163.439994%3.439994%3.4%1,418173.336158%3.336158%3.3%7,127,6737.13M3.294769%3.294769%3.3%1,179183.179584%3.179584%3.2%1,216193.141532%3.141532%3.1%1,253203.066821%3.066821%3.1%1,163213.004898%3.004898%3.0%1,276222.955374%2.955374%3.0%1,200232.952202%2.952202%3.0%1,197242.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.809208%2.809208%2.8%1,224252.785786%2.785786%2.8%1,005262.778844%2.778844%2.8%1,158272.770097%2.770097%2.8%1,142282.707288%2.707288%2.7%1,117292.703886%2.703886%2.7%105,215105k2.655281%2.655281%2.7%1,079302.470656%2.470656%2.5%983362.082539%2.082539%2.1%874432.058701%2.058701%2.1%841441.919970%1.919970%1.9%808501.809173%1.809173%1.8%723571.625404%1.625404%1.6%669641.458671%1.458671%1.5%585711.388656%1.388656%1.4%580781.208406%1.208406%1.2%479851.037155%1.037155%1.0%431920.976946%0.976946%1.0%403950.923002%0.923002%0.9%339960.849479%0.849479%0.8%317970.774015%0.774015%0.8%229980.598750%0.598750%0.6%20799
Count number of people in category
# rank of lower state legislative district out of 99 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 Lower State Legislative District#77

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 Assembly District 33, selected other lower state legislative districts in Wisconsin, and entities that contain Assembly District 33
Female
Male
1x0x1xFM#WI-63WI-53WI-82WI-49WI-57WI-97WI-67WI-76WI-54WI-61WI-35WI-86WI-3WI-70WI-6WI-2WI-50WI-92WI-90WI-40WI-51WI-74WI-31WI-1WI-83WI-43WI-80WI-19WI-87WI-73WI-5WI-9WI-69WI-72WisconsinWI-71WI-47WI-62MidwestWI-11East North CentralUnited StatesWI-8WI-33WI-88WI-46WI-95WI-4WI-15WI-17WI-23WI-78-1.000000x-1.000000x1.691039x1.691039x1.69x5.746%5.75%9.717%9.72%1-1.000000x-1.000000x1.682675x1.682675x1.68x7.701%7.70%12.959%13.0%2-1.000000x-1.000000x1.645136x1.645136x1.65x5.154%5.15%8.478%8.48%3-1.000000x-1.000000x1.539864x1.539864x1.54x6.920%6.92%10.655%10.7%4-1.000000x-1.000000x1.532474x1.532474x1.53x7.053%7.05%10.808%10.8%5-1.000000x-1.000000x1.492515x1.492515x1.49x5.155%5.16%7.694%7.69%6-1.000000x-1.000000x1.482504x1.482504x1.48x6.008%6.01%8.907%8.91%7-1.000000x-1.000000x1.481945x1.481945x1.48x3.517%3.52%5.212%5.21%8-1.000000x-1.000000x1.479641x1.479641x1.48x6.749%6.75%9.986%9.99%9-1.000000x-1.000000x1.478571x1.478571x1.48x6.514%6.51%9.632%9.63%10-1.000000x-1.000000x1.476492x1.476492x1.48x7.972%7.97%11.770%11.8%11-1.000000x-1.000000x1.475884x1.475884x1.48x5.175%5.17%7.637%7.64%12-1.000000x-1.000000x1.466781x1.466781x1.47x4.464%4.46%6.548%6.55%13-1.000000x-1.000000x1.463894x1.463894x1.46x6.952%6.95%10.177%10.2%14-1.000000x-1.000000x1.462958x1.462958x1.46x7.125%7.12%10.423%10.4%15-1.000000x-1.000000x1.456459x1.456459x1.46x5.182%5.18%7.548%7.55%16-1.000000x-1.000000x1.449451x1.449451x1.45x9.688%9.69%14.043%14.0%17-1.000000x-1.000000x1.445260x1.445260x1.45x8.678%8.68%12.543%12.5%18-1.000000x-1.000000x1.441749x1.441749x1.44x13.436%13.4%19.372%19.4%19-1.000000x-1.000000x1.431910x1.431910x1.43x7.762%7.76%11.114%11.1%20-1.000000x-1.000000x1.418880x1.418880x1.42x7.453%7.45%10.575%10.6%21-1.000000x-1.000000x1.407629x1.407629x1.41x6.575%6.57%9.255%9.25%22-1.000000x-1.000000x1.385948x1.385948x1.39x7.091%7.09%9.828%9.83%23-1.000000x-1.000000x1.385463x1.385463x1.39x5.996%6.00%8.308%8.31%24-1.000000x-1.000000x1.380421x1.380421x1.38x3.622%3.62%4.999%5.00%25-1.000000x-1.000000x1.377142x1.377142x1.38x6.414%6.41%8.832%8.83%26-1.000000x-1.000000x1.369300x1.369300x1.37x2.948%2.95%4.037%4.04%27-1.000000x-1.000000x1.364270x1.364270x1.36x3.605%3.61%4.918%4.92%28-1.000000x-1.000000x1.356329x1.356329x1.36x10.140%10.1%13.754%13.8%29-1.000000x-1.000000x1.342871x1.342871x1.34x5.809%5.81%7.801%7.80%30-1.000000x-1.000000x1.332184x1.332184x1.33x4.964%4.96%6.613%6.61%32-1.000000x-1.000000x1.291527x1.291527x1.29x25.115%25.1%32.436%32.4%36-1.000000x-1.000000x1.266703x1.266703x1.27x11.017%11.0%13.956%14.0%43-1.000000x-1.000000x1.225331x1.225331x1.23x8.313%8.31%10.187%10.2%50-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.176367x1.176367x1.18x6.132%6.13%7.213%7.21%57-1.000000x-1.000000x1.156694x1.156694x1.16x6.360%6.36%7.357%7.36%62-1.000000x-1.000000x1.155049x1.155049x1.16x7.033%7.03%8.123%8.12%64-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125454x1.125454x1.13x15.671%15.7%17.637%17.6%71-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.085618x1.085618x1.09x39.397%39.4%42.770%42.8%78-1.000000x-1.000000x1.066742x1.066742x1.07x6.549%6.55%6.986%6.99%81-1.000000x-1.000000x1.037310x1.037310x1.04x7.492%7.49%7.772%7.77%85-1.000000x-1.000000x1.037023x1.037023x1.04x5.260%5.26%5.454%5.45%86-1.002187x-1.002187x1.00x1.000000x1.000000x6.803%6.80%6.788%6.79%92-1.027708x-1.027708x1.03x1.000000x1.000000x6.566%6.57%6.389%6.39%95-1.043759x-1.043759x1.04x1.000000x1.000000x7.678%7.68%7.356%7.36%96-1.195060x-1.195060x1.20x1.000000x1.000000x13.201%13.2%11.047%11.0%97-1.228071x-1.228071x1.23x1.000000x1.000000x2.588%2.59%2.107%2.11%98-1.417424x-1.417424x1.42x1.000000x1.000000x3.280%3.28%2.314%2.31%99
F percentage of females in category
M percentage of males in category
# rank of lower state legislative district out of 99 by male-to-female sex ratio

Over-Education Sex Ratio by Lower State Legislative District#78

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 Assembly District 33, selected other lower state legislative districts in Wisconsin, and entities that contain Assembly District 33
Female
Male
1x0x1x2xFM#WI-44WI-61WI-81WI-15WI-27WI-87WI-65WI-54WI-71WI-88WI-26WI-56WI-34WI-35WI-24WI-55WI-52WI-39WI-69WI-30WI-23WI-1WI-68WI-91WI-4WI-62WI-37WI-29WI-99WI-32WI-46WI-8WI-94WI-58East North CentralMidwestWisconsinWI-48United StatesWI-47WI-36WI-22WI-33WI-97WI-67WI-5WI-80WI-90WI-42WI-59WI-76WI-9-1.000000x-1.000000x2.526133x2.526133x2.53x0.838%0.84%2.116%2.12%1-1.000000x-1.000000x2.519807x2.519807x2.52x1.078%1.08%2.717%2.72%2-1.000000x-1.000000x2.358586x2.358586x2.36x1.102%1.10%2.598%2.60%3-1.000000x-1.000000x2.328665x2.328665x2.33x1.064%1.06%2.477%2.48%4-1.000000x-1.000000x2.323238x2.323238x2.32x1.137%1.14%2.641%2.64%5-1.000000x-1.000000x2.290209x2.290209x2.29x0.830%0.83%1.902%1.90%6-1.000000x-1.000000x2.269209x2.269209x2.27x0.888%0.89%2.015%2.01%7-1.000000x-1.000000x2.191171x2.191171x2.19x1.046%1.05%2.292%2.29%8-1.000000x-1.000000x2.179278x2.179278x2.18x2.079%2.08%4.531%4.53%9-1.000000x-1.000000x2.150225x2.150225x2.15x2.044%2.04%4.395%4.39%10-1.000000x-1.000000x2.090386x2.090386x2.09x0.710%0.71%1.485%1.49%11-1.000000x-1.000000x2.080224x2.080224x2.08x1.818%1.82%3.782%3.78%12-1.000000x-1.000000x2.070070x2.070070x2.07x1.605%1.60%3.322%3.32%13-1.000000x-1.000000x2.066287x2.066287x2.07x0.795%0.79%1.642%1.64%14-1.000000x-1.000000x2.022663x2.022663x2.02x3.616%3.62%7.315%7.31%15-1.000000x-1.000000x2.018962x2.018962x2.02x1.770%1.77%3.573%3.57%16-1.000000x-1.000000x1.999077x1.999077x2.00x1.224%1.22%2.447%2.45%17-1.000000x-1.000000x1.987044x1.987044x1.99x0.774%0.77%1.537%1.54%18-1.000000x-1.000000x1.978182x1.978182x1.98x2.073%2.07%4.101%4.10%19-1.000000x-1.000000x1.973617x1.973617x1.97x2.338%2.34%4.614%4.61%20-1.000000x-1.000000x1.971649x1.971649x1.97x6.816%6.82%13.439%13.4%21-1.000000x-1.000000x1.952874x1.952874x1.95x1.558%1.56%3.042%3.04%22-1.000000x-1.000000x1.947010x1.947010x1.95x1.365%1.37%2.659%2.66%23-1.000000x-1.000000x1.902766x1.902766x1.90x1.820%1.82%3.463%3.46%24-1.000000x-1.000000x1.902460x1.902460x1.90x1.352%1.35%2.572%2.57%25-1.000000x-1.000000x1.887815x1.887815x1.89x1.607%1.61%3.034%3.03%26-1.000000x-1.000000x1.864673x1.864673x1.86x1.333%1.33%2.485%2.49%27-1.000000x-1.000000x1.851110x1.851110x1.85x1.519%1.52%2.812%2.81%28-1.000000x-1.000000x1.850483x1.850483x1.85x3.079%3.08%5.697%5.70%29-1.000000x-1.000000x1.834714x1.834714x1.83x1.431%1.43%2.625%2.62%30-1.000000x-1.000000x1.810169x1.810169x1.81x2.137%2.14%3.869%3.87%33-1.000000x-1.000000x1.802787x1.802787x1.80x0.550%0.55%0.991%0.99%36-1.000000x-1.000000x1.721313x1.721313x1.72x2.639%2.64%4.542%4.54%43-1.000000x-1.000000x1.644584x1.644584x1.64x1.133%1.13%1.863%1.86%50-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.561630x1.561630x1.56x2.714%2.71%4.238%4.24%57-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.460616x1.460616x1.46x4.166%4.17%6.085%6.08%63-1.000000x-1.000000x1.459859x1.459859x1.46x0.793%0.79%1.158%1.16%64-1.000000x-1.000000x1.411750x1.411750x1.41x2.319%2.32%3.274%3.27%71-1.000000x-1.000000x1.363191x1.363191x1.36x1.750%1.75%2.386%2.39%75-1.000000x-1.000000x1.316054x1.316054x1.32x1.839%1.84%2.420%2.42%78-1.000000x-1.000000x1.168751x1.168751x1.17x1.442%1.44%1.685%1.69%85-1.000000x-1.000000x1.142664x1.142664x1.14x1.363%1.36%1.557%1.56%88-1.000000x-1.000000x1.022470x1.022470x1.02x4.212%4.21%4.307%4.31%92-1.057591x-1.057591x1.06x1.000000x1.000000x0.873%0.87%0.826%0.83%95-1.163448x-1.163448x1.16x1.000000x1.000000x1.381%1.38%1.187%1.19%96-1.232347x-1.232347x1.23x1.000000x1.000000x1.129%1.13%0.916%0.92%97-1.263561x-1.263561x1.26x1.000000x1.000000x10.545%10.5%8.345%8.35%98-1.286174x-1.286174x1.29x1.000000x1.000000x0.671%0.67%0.522%0.52%99
F percentage of females in category
M percentage of males in category
# rank of lower state legislative district out of 99 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Wisconsin
Counties:
Jefferson, Walworth, Waukesha
Metro Areas:
Milwaukee Area, Watertown Area, Whitewater Area
Cities:
Fort Atkinson, Jefferson
Towns:
Aztalan, Eagle, East Troy, Hebron, Jefferson, Koshkonong, La Grange, Mukwonago, Oakland, Palmyra, Sullivan, Troy
Unincorporated Places:
Hebron, Helenville, Lake Ripley, Lauderdale Lakes, Potter Lake, Rome
Villages:
Cambridge, Eagle, Mukwonago, North Prairie, Palmyra, Sullivan
Congressional Districts:
WI-1, WI-5
State Senate District:
WI-11
Unified School Districts:
Cambridge, East Troy, Elkhorn, Fort Atkinson, Jefferson, Kettle Moraine, Lake Mills, Mukwonago, Oconomowoc, Palmyra-Eagle, Whitewater
ZIP Codes:
53118, 53119, 53120, 53121, 53137, 53149, 53153, 53156, 53178, 53190, 53523, 53538, 53549, 53551
Neighboring Assembly Districts:
WI-31, WI-32, WI-38, WI-43, WI-83, WI-97, WI-99
Nearby Assembly Districts:
WI-13, WI-14, WI-15, WI-22, WI-37, WI-44, WI-46, WI-63, WI-84, WI-98