Educational Attainment in Assembly District 35, Wisconsin (Assembly District)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wisconsin and Assembly District 35
Assembly District 35
Wisconsin
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma226.821128%38.686675%26.821128%26.8%11,17111.2k63.313325%52.676105%63.313325%63.3%26,37026.4k9.865546%8.637220%9.865546%9.9%4,109
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 35
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-30.670887%-30.670887%-30.7%26.821%26.8%38.687%38.7%20.193634%20.193634%+20.2%63.313%63.3%52.676%52.7%14.221313%14.221313%+14.2%9.866%9.87%8.637%8.64%
% percentage with given level in Assembly District 35
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 35
Assembly District 35
Wisconsin
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.271309%1.094506%0.271309%0.3%1130.945978%1.609379%0.945978%0.9%3943.743097%6.922399%3.743097%3.7%1,55910.828331%18.747154%10.828331%10.8%4,51011.032413%10.313236%11.032413%11.0%4,59522.069628%20.983992%22.069628%22.1%9,19241.243697%31.692113%41.243697%41.2%17,17817.2k6.391357%5.657202%6.391357%6.4%2,6622.794718%2.130908%2.794718%2.8%1,1640.679472%0.849110%0.679472%0.7%283
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 35
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-75.211791%-75.211791%-75.2%0.271%0.27%1.095%1.09%-41.220913%-41.220913%-41.2%0.946%0.95%1.609%1.61%-45.927747%-45.927747%-45.9%3.743%3.74%6.922%6.92%-42.240132%-42.240132%-42.2%10.828%10.8%18.747%18.7%6.973340%6.973340%+7.0%11.032%11.0%10.313%10.3%5.173639%5.173639%+5.2%22.070%22.1%20.984%21.0%30.138678%30.138678%+30.1%41.244%41.2%31.692%31.7%12.977336%12.977336%+13.0%6.391%6.39%5.657%5.66%31.151504%31.151504%+31.2%2.795%2.79%2.131%2.13%-19.978331%-19.978331%-20.0%0.679%0.68%0.849%0.85%
% percentage with given level in Assembly District 35
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 35
More Females More Males
Wisconsin
Assembly District 35
0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-18.002831%-9.820753%-18.002831%18%29.029%29.0%24.600%24.6%1.000363%3.687318%1.000363%1%62.999%63.0%63.629%63.6%47.649240%21.929118%47.649240%48%7.972%7.97%11.770%11.8%
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 35
More Females More Males
Wisconsin
Assembly District 35
0%50%100%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None17.996940%49.112245%17.996940%18%0.249%0.25%0.294%0.29%147.057154%63.725126%147.057154%147%0.546%0.55%1.348%1.35%-45.820439%-26.714257%-45.820439%46%4.438%4.44%3.044%3.04%-6.256419%-10.314398%-6.256419%6%11.156%11.2%10.499%10.5%-34.249573%-14.230343%-34.249573%34%12.640%12.6%9.415%9.42%-12.856072%-1.828461%-12.856072%13%23.398%23.4%20.733%20.7%8.322253%7.484254%8.322253%8%39.601%39.6%42.896%42.9%45.067557%27.756322%45.067557%45%5.219%5.22%7.571%7.57%65.512250%11.346432%65.512250%66%2.107%2.11%3.487%3.49%10.273764%12.366663%10.273764%10%0.646%0.65%0.713%0.71%
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 35
Assembly District 35
Wisconsin
0%5%10%15%20%25%B.X.Total65+45-6435-4425-347.655873%12.755764%7.655873%7.7%88911,61211.6k11.335897%17.674080%11.335897%11.3%2,03417,94317.9k13.133676%22.171538%13.133676%13.1%8426,41113.106967%25.037795%13.106967%13.1%7455,684
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 35
40%30%20%10%0%%ref.65+45-6435-4425-34-39.981070%-39.981070%40.0%7.656%7.66%12.756%12.8%-35.861460%-35.861460%35.9%11.336%11.3%17.674%17.7%-40.763349%-40.763349%40.8%13.134%13.1%22.172%22.2%-47.651274%-47.651274%47.7%13.107%13.1%25.038%25.0%
% percentage in Assembly District 35 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 35
More Females More Males
Wisconsin
Assembly District 35
30%20%10%0%10%FM65+45-6435-4425-3412.420756%15.252186%12.420756%12.4%7.242%7.24%8.141%8.14%-2.848169%-8.291196%-2.848169%2.8%11.500%11.5%11.182%11.2%-35.593791%-22.719305%-35.593791%35.6%15.127%15.1%11.156%11.2%-20.748101%-29.514910%-20.748101%20.7%14.385%14.4%11.913%11.9%
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 35
Assembly District 35
Wisconsin
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$58,912.000000$61,842.000000$58,912.000000$58.9k2,0664.960%4.96%$43,617.000000$48,286.000000$43,617.000000$43.6k4,51010.828%10.8%$31,972.000000$34,771.000000$31,972.000000$32.0k13,78713.8k33.102%33.1%$30,104.000000$30,475.000000$30,104.000000$30.1k17,17817.2k41.244%41.2%$22,687.000000$22,317.000000$22,687.000000$22.7k4,1099.866%9.87%$32,324.000000$36,855.000000$32,324.000000$32.3k41,65041.7k100.000%100%
Count number of people with given highest level of educational attainment
% percentage of people with given highest level of educational attainment
1or professional degree 2H.S. = High School

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of Wisconsin and Assembly District 35
Female Male
Wisconsin
Assembly District 35
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-53,227.000000$-55,037.000000$-53,227.000000$53.2k$53,227.000000$13,792.000000$55,037.000000$18,141.000000$67,019.000000$67.0k1,093973$-38,782.000000$-40,915.000000$-38,782.000000$38.8k$38,782.000000$12,322.000000$40,915.000000$18,355.000000$51,104.000000$51.1k2,3302,180$-26,071.000000$-28,362.000000$-26,071.000000$26.1k$26,071.000000$14,969.000000$28,362.000000$14,055.000000$41,040.000000$41.0k7,5276,260$-22,278.000000$-23,872.000000$-22,278.000000$22.3k$22,278.000000$14,420.000000$23,872.000000$12,519.000000$36,698.000000$36.7k8,2718,907$-12,414.000000$-16,775.000000$-12,414.000000$12.4k$12,414.000000$15,419.000000$16,775.000000$9,472.000000$27,833.000000$27.8k1,6652,444$-26,335.000000$-30,829.000000$-26,335.000000$26.3k$26,335.000000$13,629.000000$30,829.000000$12,328.000000$39,964.000000$40.0k20,88620.9k20,76420.8k
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

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 Assembly District 35
Assembly District 35
Wisconsin
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%32.763533%100.000000%100.0%20.000000%0.000000%0.0%54.226021%00.000000%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 Assembly District 35
Assembly District 35
Wisconsin
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma382.371174%85.899471%82.371174%82.4%4,25280.500135%79.335494%80.500135%80.5%8,91774.473684%73.240943%74.473684%74.5%8,77355.621595%53.971506%55.621595%55.6%1,123
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 Assembly District 35
Female Male
Wisconsin
Assembly District 35
Shaded bar tips show excess over facing bar.
20%0%20%MFWhite1BlackAsianHispanic2Other1-7.543520%-5.697819%-7.543520%7.5%7.543520%3.743094%5.697819%1.469036%11.286614%11.3%2,2581,521-22.222222%-0.728597%-17.429079%-22.950820%23.0%22.222222%17.429079%2.936718%22.222222%22.2%2614-2.898551%-21.277273%-14.441272%-4.641233%-24.175824%24.2%2.898551%14.441272%2.898551%2.9%222-26.359833%-31.307944%-26.359833%26.4%26.359833%12.829357%31.307944%5.178771%39.189189%39.2%11663-13.966480%-22.693686%-13.966480%14.0%13.966480%2.555259%22.693686%3.979967%16.521739%16.5%5750
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 Assembly District 35
Female Male
Wisconsin
Assembly District 35
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-15.120464%-1.032886%-28.711494%-2.079187%-16.153350%16.2%15.120464%28.711494%15.120464%15.1%3,0253,257-26.229508%-11.717867%-3.588054%-26.229508%26.2%26.229508%18.214936%11.717867%44.444444%44.4%5216-36.263736%-44.377167%-36.263736%36.3%36.263736%40.547858%44.377167%4.100638%76.811594%76.8%5333-5.743243%-12.666799%-10.433533%-4.583778%-18.410042%18.4%5.743243%10.433533%5.743243%5.7%1744-1.739130%-19.489920%-13.316792%-4.610459%-21.229050%21.2%1.739130%13.316792%1.739130%1.7%676
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 35

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

Percentage of the population 25 years and older with given highest level of educational attainment
25.7%27.9%30.0%32.2%34.3%36.5%

Coarse: High School Diploma Educational Attainment by County#17

Percentage of the population 25 years and older with given highest level of educational attainment
55.0%57.0%58.8%60.7%62.6%64.5%

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
7.96%8.40%8.83%9.26%9.69%10.13%

Detailed: Doctorate Degree Educational Attainment by County#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.16%0.32%0.48%0.64%0.80%0.97%

Detailed: Professional Degree Educational Attainment by County#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.75%0.94%1.12%1.30%1.49%1.68%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.5%4.2%4.9%5.6%6.3%7.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
10.1%11.4%12.7%14.0%15.3%16.7%

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

Percentage of the population 25 years and older with given highest level of educational attainment
9.70%10.19%10.67%11.15%11.64%12.13%

Detailed: Some College Educational Attainment by County#24

Percentage of the population 25 years and older with given highest level of educational attainment
18.8%19.7%20.5%21.3%22.1%22.9%

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
33.2%35.6%38.0%40.3%42.7%45.1%

Detailed: Some High School Educational Attainment by County#26

Percentage of the population 25 years and older with given highest level of educational attainment
5.01%5.34%5.67%6.00%6.32%6.65%

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
1.48%1.76%2.04%2.32%2.61%2.89%

Detailed: None Educational Attainment by County#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.58%0.73%0.87%1.01%1.15%1.29%
Road Data ©OpenStreetMap

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Map of Educational Attainment by County Subdivision in Assembly District 35

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
6%13%19%25%31%38%

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
54%61%68%74%81%88%

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
0%5%11%16%22%27%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.48%0.96%1.45%1.93%2.41%

Detailed: Professional Degree Educational Attainment by County Subdivision#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.7%1.4%2.1%2.8%3.6%

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
0.0%1.7%3.3%5.0%6.7%8.4%

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
1%8%15%21%27%34%

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
0.0%3.3%6.5%9.8%13.0%16.3%

Detailed: Some College Educational Attainment by County Subdivision#37

Percentage of the population 25 years and older with given highest level of educational attainment
0%8%16%24%32%40%

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
31%38%46%53%60%67%

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
0.0%2.6%5.2%7.8%10.4%13.1%

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
0.0%3.5%7.1%10.6%14.2%17.8%

Detailed: None Educational Attainment by County Subdivision#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.1%2.1%3.2%4.2%5.3%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Assembly District 35

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

Percentage of the population 25 years and older with given highest level of educational attainment
17%23%28%33%38%44%

Coarse: High School Diploma Educational Attainment by Tract#43

Percentage of the population 25 years and older with given highest level of educational attainment
51.4%55.0%58.5%62.0%65.5%69.1%

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
4.8%6.9%9.0%11.0%13.1%15.2%

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%0.5%1.0%1.5%2.0%2.6%

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%0.6%1.2%1.7%2.3%2.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.2%2.9%4.7%6.4%8.1%9.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.4%9.8%12.0%14.3%16.6%18.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.2%9.0%10.7%12.4%14.0%15.8%

Detailed: Some College Educational Attainment by Tract#50

Percentage of the population 25 years and older with given highest level of educational attainment
15.0%17.5%20.0%22.4%24.9%27.5%

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
25.1%30.0%35.0%39.9%44.8%49.8%

Detailed: Some High School Educational Attainment by Tract#52

Percentage of the population 25 years and older with given highest level of educational attainment
3.6%5.0%6.3%7.6%8.9%10.3%

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
0.0%1.2%2.3%3.5%4.6%5.8%

Detailed: None Educational Attainment by Tract#54

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.28%0.57%0.85%1.14%1.43%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Assembly District 35

There are 11 places in Assembly District 35. This section compares all 11 of those to each other, Assembly District 35, and other entities that contain or substantially overlap with Assembly District 35.

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 Assembly District 35, selected places in Assembly District 35, and entities that contain Assembly District 35
0%5%10%15%20%25%Count#MattoonElandAniwaTomahawkBirnamwoodUnited States of AmericaUnited StatesSummit LakeAntigoEast North CentralMerrillMidwestPost LakeBowlerAssembly District 35WI-35WisconsinElcho26.969697%26.969697%27.0%89125.531915%25.531915%25.5%36214.457831%14.457831%14.5%24314.303380%14.303380%14.3%347413.311688%13.311688%13.3%82513.020590%13.020590%13.0%27,818,38027.8M12.403101%12.403101%12.4%16610.921195%10.921195%10.9%607710.719464%10.719464%10.7%3,363,7843.36M10.573449%10.573449%10.6%673810.244520%10.244520%10.2%4,641,8354.64M10.000000%10.000000%10.0%2999.965636%9.965636%10.0%29109.865546%9.865546%9.9%4,1098.637220%8.637220%8.6%336,096336k5.462185%5.462185%5.5%1311
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 Assembly District 35, selected places in Assembly District 35, and entities that contain Assembly District 35
0%10%20%30%Count#United States of AmericaUnited StatesMidwestEast North CentralWisconsinTomahawkPost LakeAntigoAssembly District 35WI-35MerrillElchoSummit LakeElandMattoonAniwaBirnamwoodBowler30.315023%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%1,104,0821.10M16.941467%16.941467%16.9%411116.896552%16.896552%16.9%49216.390788%16.390788%16.4%911315.788715%15.788715%15.8%6,57615.648075%15.648075%15.6%996413.865546%13.865546%13.9%33510.852713%10.852713%10.9%1469.219858%9.219858%9.2%1378.181818%8.181818%8.2%2787.228916%7.228916%7.2%1296.655844%6.655844%6.7%41106.185567%6.185567%6.2%1811
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 Assembly District 35, selected places in Assembly District 35, and entities that contain Assembly District 35
0%1%2%3%4%Count#Post LakeUnited States of AmericaUnited StatesElchoMidwestEast North CentralWisconsinTomahawkMattoonAntigoAssembly District 35WI-35MerrillAniwaBirnamwoodBowlerElandSummit Lake4.137931%4.137931%4.1%1213.336158%3.336158%3.3%7,127,6737.13M2.941176%2.941176%2.9%722.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k1.896125%1.896125%1.9%4631.818182%1.818182%1.8%641.547319%1.547319%1.5%8651.217287%1.217287%1.2%5071.036921%1.036921%1.0%6660.602410%0.602410%0.6%170.000000%0.000000%0.0%080.000000%0.000000%0.0%090.000000%0.000000%0.0%0100.000000%0.000000%0.0%011
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 Assembly District 35, selected places in Assembly District 35, and entities that contain Assembly District 35
Female
Male
1x0x1x2x3xFM#BowlerMerrillWI-35WisconsinTomahawkAntigoMidwestEast North CentralUnited StatesAniwaMattoonBirnamwoodSummit LakePost LakeElandElcho-1.000000x-1.000000x3.208333x3.208333x3.21x4.762%4.76%15.278%15.3%1-1.000000x-1.000000x2.373232x2.373232x2.37x6.483%6.48%15.385%15.4%2-1.000000x-1.000000x1.476492x1.476492x1.48x7.972%7.97%11.770%11.8%-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.200154x1.200154x1.20x13.004%13.0%15.607%15.6%3-1.000000x-1.000000x1.157657x1.157657x1.16x10.135%10.1%11.732%11.7%4-1.000000x-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-1.000000x1.072607x1.072607x1.07x13.846%13.8%14.851%14.9%5-1.000000x-1.000000x1.051572x1.051572x1.05x26.316%26.3%27.673%27.7%6-1.000320x-1.000320x1.00x1.000000x1.000000x13.314%13.3%13.309%13.3%7-1.050302x-1.050302x1.05x1.000000x1.000000x12.676%12.7%12.069%12.1%8-1.086310x-1.086310x1.09x1.000000x1.000000x10.417%10.4%9.589%9.59%9-1.420455x-1.420455x1.42x1.000000x1.000000x30.303%30.3%21.333%21.3%10-1.725694x-1.725694x1.73x1.000000x1.000000x7.292%7.29%4.225%4.23%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 Assembly District 35, selected places in Assembly District 35, and entities that contain Assembly District 35
Female
Male
0x5x10xFM#AniwaAntigoPost LakeTomahawkWI-35MerrillEast North CentralMidwestWisconsinUnited StatesElchoMattoon-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.990%0.99%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.283%0.28%2.851%2.85%2-1.000000x-1.000000x2.958904x2.958904x2.96x2.083%2.08%6.164%6.16%3-1.000000x-1.000000x2.546846x2.546846x2.55x1.070%1.07%2.725%2.73%4-1.000000x-1.000000x2.066287x2.066287x2.07x0.795%0.79%1.642%1.64%-1.000000x-1.000000x1.928752x1.928752x1.93x0.727%0.73%1.402%1.40%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-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.972222x-1.972222x1.97x1.000000x1.000000x4.167%4.17%2.113%2.11%6-4.649123x-4.649123x4.65x1.000000x1.000000x2.924%2.92%0.629%0.63%7
F percentage of females in category
M percentage of males in category
# rank of place out of 7 by male-to-female sex ratio

Educational Attainment by Metro Area in Assembly District 35

There are 3 metro areas that are fully or partially contained within Assembly District 35 (1 fully and 2 partially). This section compares all 3 of those to each other, Assembly District 35, and other entities that contain or substantially overlap with Assembly District 35.

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 Assembly District 35, selected metro areas in Assembly District 35, and entities that contain Assembly District 35
0%5%10%Count#United States of AmericaUnited StatesEast North CentralMidwestAssembly District 35WI-35Merrill Metro AreaMerrill AreaShawano Metro AreaShawano AreaWausau Metro AreaWausau AreaWisconsin13.020590%13.020590%13.0%27,818,38027.8M10.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M9.865546%9.865546%9.9%4,1099.699758%9.699758%9.7%2,00319.467882%9.467882%9.5%3,02328.851943%8.851943%8.9%8,21038.637220%8.637220%8.6%336,096336k
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#61

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Assembly District 35, selected metro areas in Assembly District 35, and entities that contain Assembly District 35
0%10%20%30%Count#United States of AmericaUnited StatesMidwestEast North CentralWisconsinWausau Metro AreaWausau AreaMerrill Metro AreaMerrill AreaAssembly District 35WI-35Shawano Metro AreaShawano Area30.315023%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%1,104,0821.10M23.939061%23.939061%23.9%22,20322.2k115.961259%15.961259%16.0%3,296215.788715%15.788715%15.8%6,57615.666009%15.666009%15.7%5,0023
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#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 Assembly District 35, selected metro areas in Assembly District 35, and entities that contain Assembly District 35
0%1%2%3%Count#United States of AmericaUnited StatesMidwestEast North CentralWisconsinWausau Metro AreaWausau AreaShawano Metro AreaShawano AreaAssembly District 35WI-35Merrill Metro AreaMerrill Area3.336158%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%105,215105k2.197352%2.197352%2.2%2,03811.274703%1.274703%1.3%40721.217287%1.217287%1.2%5071.099274%1.099274%1.1%2273
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#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 Assembly District 35, selected metro areas in Assembly District 35, and entities that contain Assembly District 35
Female
Male
1x0x1xFM#Merrill AreaWI-35Shawano AreaWisconsinWausau AreaMidwestEast North CentralUnited States-1.000000x-1.000000x1.701366x1.701366x1.70x7.198%7.20%12.247%12.2%1-1.000000x-1.000000x1.476492x1.476492x1.48x7.972%7.97%11.770%11.8%-1.000000x-1.000000x1.390032x1.390032x1.39x7.940%7.94%11.036%11.0%2-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%3-1.000000x-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%
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#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 Assembly District 35, selected metro areas in Assembly District 35, and entities that contain Assembly District 35
Female
Male
1x0x1x2xFM#WI-35Merrill AreaShawano AreaEast North CentralMidwestWisconsinUnited StatesWausau Area-1.000000x-1.000000x2.066287x2.066287x2.07x0.795%0.79%1.642%1.64%-1.000000x-1.000000x2.023351x2.023351x2.02x0.729%0.73%1.476%1.48%1-1.000000x-1.000000x1.796091x1.796091x1.80x0.915%0.92%1.644%1.64%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-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%3
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 35

There are 5 counties that are fully or partially contained within Assembly District 35 (1 fully and 4 partially). This section compares all 5 of those to each other, Assembly District 35, and other entities that contain or substantially overlap with Assembly District 35.

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 Assembly District 35, selected counties in Assembly District 35, and entities that contain Assembly District 35
0%5%10%Count#United States of AmericaUnited StatesEast North CentralMidwestLanglade CountyLangladeAssembly District 35WI-35Lincoln CountyLincolnShawano CountyShawanoMarathon CountyMarathonWisconsinOneida CountyOneida13.020590%13.020590%13.0%27,818,38027.8M10.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.124982%10.124982%10.1%1,44219.865546%9.865546%9.9%4,1099.699758%9.699758%9.7%2,00329.364060%9.364060%9.4%2,75538.851943%8.851943%8.9%8,21048.637220%8.637220%8.6%336,096336k7.965352%7.965352%8.0%2,1615
Count number of people in category
# rank of county out of 5 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 Assembly District 35, selected counties in Assembly District 35, and entities that contain Assembly District 35
0%10%20%30%Count#United States of AmericaUnited StatesMidwestEast North CentralWisconsinOneida CountyOneidaMarathon CountyMarathonLanglade CountyLangladeLincoln CountyLincolnAssembly District 35WI-35Shawano CountyShawano30.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M26.247696%26.247696%26.2%7,121123.939061%23.939061%23.9%22,20322.2k216.051116%16.051116%16.1%2,286315.961259%15.961259%16.0%3,296415.788715%15.788715%15.8%6,57615.597702%15.597702%15.6%4,5895
Count number of people in category
# rank of county out of 5 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 Assembly District 35, selected counties in Assembly District 35, and entities that contain Assembly District 35
0%1%2%3%Count#United States of AmericaUnited StatesMidwestEast North CentralWisconsinOneida CountyOneidaMarathon CountyMarathonLanglade CountyLangladeShawano CountyShawanoAssembly District 35WI-35Lincoln CountyLincoln3.336158%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%105,215105k2.631773%2.631773%2.6%71412.197352%2.197352%2.2%2,03821.481533%1.481533%1.5%21131.291594%1.291594%1.3%38041.217287%1.217287%1.2%5071.099274%1.099274%1.1%2275
Count number of people in category
# rank of county out of 5 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 Assembly District 35, selected counties in Assembly District 35, and entities that contain Assembly District 35
Female
Male
1x0x1xFM#LincolnWI-35ShawanoLangladeOneidaWisconsinMarathonMidwestEast North CentralUnited States-1.000000x-1.000000x1.701366x1.701366x1.70x7.198%7.20%12.247%12.2%1-1.000000x-1.000000x1.476492x1.476492x1.48x7.972%7.97%11.770%11.8%-1.000000x-1.000000x1.432451x1.432451x1.43x7.710%7.71%11.044%11.0%2-1.000000x-1.000000x1.357459x1.357459x1.36x8.605%8.61%11.681%11.7%3-1.000000x-1.000000x1.304731x1.304731x1.30x6.919%6.92%9.027%9.03%4-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%5-1.000000x-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%
F percentage of females in category
M percentage of males in category
# rank of county out of 5 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 Assembly District 35, selected counties in Assembly District 35, and entities that contain Assembly District 35
Female
Male
1x0x1x2x3xFM#LangladeOneidaWI-35LincolnShawanoEast North CentralMidwestWisconsinUnited StatesMarathon-1.000000x-1.000000x3.572666x3.572666x3.57x0.652%0.65%2.331%2.33%1-1.000000x-1.000000x2.218029x2.218029x2.22x1.640%1.64%3.637%3.64%2-1.000000x-1.000000x2.066287x2.066287x2.07x0.795%0.79%1.642%1.64%-1.000000x-1.000000x2.023351x2.023351x2.02x0.729%0.73%1.476%1.48%3-1.000000x-1.000000x1.801551x1.801551x1.80x0.924%0.92%1.665%1.66%4-1.000000x-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-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%5
F percentage of females in category
M percentage of males in category
# rank of county out of 5 by male-to-female sex ratio

Educational Attainment by County Subdivision in Assembly District 35

There are 53 county subdivisions in Assembly District 35. This section compares the 50 most populous of those to each other, Assembly District 35, and other entities that contain or substantially overlap with Assembly District 35. The least populous of the compared county subdivisions has a population of 165.

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 Assembly District 35, selected county subdivisions in Assembly District 35, and entities that contain Assembly District 35
0%5%10%15%20%25%Count#MattoonElandAniwaTomahawkTown of SchleySchleyTown of HewittHewittBirnamwoodTown of AniwaTown of HarrisonHarrisonUnited States of AmericaUnited StatesTown of PeckTown of WilsonWilsonTown of Little RiceLittle RiceTown of RussellRussellTown of SummitSummitTown of HamburgHamburgTown of NevaTown of PloverPloverAntigoEast North CentralMerrillTown of LynneMidwestTown of AlmonTown of TomahawkTomahawkBowlerTown of NokomisNokomisAssembly District 35WI-35Town of BirchTown of NorwoodNorwoodTown of CorningCorningTown of BirnamwoodBirnamwoodTown of ScottTown of VilasTown of HutchinsHutchinsTown of HardingHardingTown of PriceTown of ElchoTown of PolarTown of SkanawanSkanawanWisconsinTown of RollingRollingTown of BradleyBradleyTown of Pine RiverPne RivTown of UphamTown of Rock FallsRock FallsTown of KingTown of MerrillMerrillTown of EnterpriseEnterpriseTown of BerlinBerlinTown of HarrisonHarrisonTown of SchoepkeSchoepkeTown of AntigoAntigoTown of AckleyAckleyTown of WoodboroWoodboro26.969697%26.969697%27.0%89125.531915%25.531915%25.5%36214.457831%14.457831%14.5%24314.303380%14.303380%14.3%347414.057971%14.057971%14.1%97513.539652%13.539652%13.5%70613.509061%13.509061%13.5%82713.500000%13.500000%13.5%54813.076923%13.076923%13.1%34913.020590%13.020590%13.0%27,818,38027.8M12.698413%12.698413%12.7%321012.669683%12.669683%12.7%281112.462006%12.462006%12.5%411212.284483%12.284483%12.3%571312.030075%12.030075%12.0%161411.680000%11.680000%11.7%731511.656442%11.656442%11.7%761611.428571%11.428571%11.4%521710.921195%10.921195%10.9%6071810.719464%10.719464%10.7%3,363,7843.36M10.573449%10.573449%10.6%6731910.294118%10.294118%10.3%142010.244520%10.244520%10.2%4,641,8354.64M10.236220%10.236220%10.2%392110.210210%10.210210%10.2%34229.965636%9.965636%10.0%29239.893048%9.893048%9.9%111249.865546%9.865546%9.9%4,1099.836066%9.836066%9.8%36259.787234%9.787234%9.8%69269.756098%9.756098%9.8%48279.164969%9.164969%9.2%45288.968610%8.968610%9.0%100298.839779%8.839779%8.8%16308.823529%8.823529%8.8%39318.727273%8.727273%8.7%24328.670520%8.670520%8.7%15338.653846%8.653846%8.7%81348.651026%8.651026%8.7%59358.637874%8.637874%8.6%26368.637220%8.637220%8.6%336,096336k7.955690%7.955690%8.0%79377.748538%7.748538%7.7%159387.686454%7.686454%7.7%101397.241911%7.241911%7.2%47407.068607%7.068607%7.1%34417.051282%7.051282%7.1%55426.316275%6.316275%6.3%137436.310680%6.310680%6.3%13446.074074%6.074074%6.1%41455.823864%5.823864%5.8%41465.780347%5.780347%5.8%20475.607477%5.607477%5.6%60484.804805%4.804805%4.8%16493.576751%3.576751%3.6%2450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#71

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Assembly District 35, selected county subdivisions in Assembly District 35, and entities that contain Assembly District 35
0%10%20%30%Count#United States of AmericaUnited StatesMidwestEast North CentralWisconsinTown of UphamTown of AntigoAntigoTown of RollingRollingTown of HarrisonHarrisonTown of BerlinBerlinTown of Pine RiverPne RivTown of SchoepkeSchoepkeTown of KingTown of WoodboroWoodboroTown of NokomisNokomisTown of ElchoTown of SkanawanSkanawanTomahawkTown of Rock FallsRock FallsTown of HewittHewittTown of HardingHardingTown of BradleyBradleyTown of MerrillMerrillAntigoTown of PloverPloverTown of PolarAssembly District 35WI-35MerrillTown of Little RiceLittle RiceTown of EnterpriseEnterpriseTown of ScottTown of RussellRussellTown of TomahawkTomahawkTown of NevaTown of HamburgHamburgTown of AckleyAckleyTown of HutchinsHutchinsTown of NorwoodNorwoodTown of BirchTown of AniwaTown of PriceTown of PeckTown of BirnamwoodBirnamwoodTown of CorningCorningElandTown of SummitSummitTown of VilasMattoonTown of WilsonWilsonTown of SchleySchleyTown of AlmonAniwaBirnamwoodBowlerTown of LynneTown of HarrisonHarrison30.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M25.115562%25.115562%25.1%163122.242991%22.242991%22.2%238222.054381%22.054381%22.1%219321.732955%21.732955%21.7%153421.629630%21.629630%21.6%146521.004566%21.004566%21.0%276619.942197%19.942197%19.9%69719.487179%19.487179%19.5%152818.628912%18.628912%18.6%125918.360071%18.360071%18.4%2061017.735043%17.735043%17.7%1661116.943522%16.943522%16.9%511216.941467%16.941467%16.9%4111316.839917%16.839917%16.8%811416.827853%16.827853%16.8%871516.727273%16.727273%16.7%461616.715400%16.715400%16.7%3431716.459198%16.459198%16.5%3571816.390788%16.390788%16.4%9111916.263736%16.263736%16.3%742015.982405%15.982405%16.0%1092115.788715%15.788715%15.8%6,57615.648075%15.648075%15.6%9962214.893617%14.893617%14.9%492314.563107%14.563107%14.6%302413.991031%13.991031%14.0%1562513.577586%13.577586%13.6%632613.213213%13.213213%13.2%442713.190184%13.190184%13.2%862812.960000%12.960000%13.0%812912.612613%12.612613%12.6%423012.443439%12.443439%12.4%553112.198582%12.198582%12.2%863212.021858%12.021858%12.0%443311.500000%11.500000%11.5%463410.982659%10.982659%11.0%193510.714286%10.714286%10.7%27369.368635%9.368635%9.4%46379.349593%9.349593%9.3%46389.219858%9.219858%9.2%13399.022556%9.022556%9.0%12408.287293%8.287293%8.3%15418.181818%8.181818%8.2%27428.144796%8.144796%8.1%18438.115942%8.115942%8.1%56447.874016%7.874016%7.9%30457.228916%7.228916%7.2%12466.260297%6.260297%6.3%38476.185567%6.185567%6.2%18485.882353%5.882353%5.9%8495.769231%5.769231%5.8%1550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Assembly District 35, selected county subdivisions in Assembly District 35, and entities that contain Assembly District 35
0%1%2%3%4%Count#Town of UphamUnited States of AmericaUnited StatesTown of ElchoMidwestEast North CentralWisconsinTown of RollingRollingTown of KingTown of WoodboroWoodboroTown of AntigoAntigoTomahawkMattoonTown of PriceTown of Rock FallsRock FallsTown of SkanawanSkanawanTown of HarrisonHarrisonAntigoTown of HutchinsHutchinsTown of NokomisNokomisTown of PolarAssembly District 35WI-35Town of Pine RiverPne RivTown of MerrillMerrillTown of PloverPloverTown of HardingHardingMerrillTown of Little RiceLittle RiceTown of BerlinBerlinTown of BradleyBradleyTown of CorningCorningTown of AlmonTown of HarrisonHarrisonTown of HamburgHamburgAniwaTown of SchoepkeSchoepkeTown of VilasTown of BirchTown of WilsonWilsonTown of SchleySchleyTown of RussellRussellTown of BirnamwoodBirnamwoodTown of HewittHewittTown of NevaTown of TomahawkTomahawkTown of NorwoodNorwoodTown of ScottBirnamwoodTown of AniwaBowlerTown of AckleyAckleyTown of PeckTown of EnterpriseEnterpriseElandTown of SummitSummitTown of Lynne4.468413%4.468413%4.5%2913.336158%3.336158%3.3%7,127,6737.13M2.991453%2.991453%3.0%2822.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.517623%2.517623%2.5%2532.307692%2.307692%2.3%1842.235469%2.235469%2.2%1552.056075%2.056075%2.1%2261.896125%1.896125%1.9%4671.818182%1.818182%1.8%681.734104%1.734104%1.7%391.663202%1.663202%1.7%8101.661130%1.661130%1.7%5111.562500%1.562500%1.6%11121.547319%1.547319%1.5%86131.357466%1.357466%1.4%6141.336898%1.336898%1.3%15151.319648%1.319648%1.3%9161.217287%1.217287%1.2%5071.141553%1.141553%1.1%15171.106501%1.106501%1.1%24181.098901%1.098901%1.1%5191.090909%1.090909%1.1%3201.036921%1.036921%1.0%66210.911854%0.911854%0.9%3220.888889%0.888889%0.9%6230.877193%0.877193%0.9%18240.813008%0.813008%0.8%4250.787402%0.787402%0.8%3260.769231%0.769231%0.8%2270.640000%0.640000%0.6%4280.602410%0.602410%0.6%1290.578035%0.578035%0.6%2300.552486%0.552486%0.6%1310.546448%0.546448%0.5%2320.452489%0.452489%0.5%1330.434783%0.434783%0.4%3340.431034%0.431034%0.4%2350.407332%0.407332%0.4%2360.386847%0.386847%0.4%2370.306748%0.306748%0.3%2380.300300%0.300300%0.3%1390.141844%0.141844%0.1%1400.000000%0.000000%0.0%0410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Assembly District 35, selected county subdivisions in Assembly District 35, and entities that contain Assembly District 35
Female
Male
2x0x2x4x6xFM#Town of PriceHutchinsAckleySkanawanBowlerWoodboroPne RivTown of ScottPloverMerrillRock FallsLittle RiceHamburgTown of BirchRollingTown of PolarMerrillHardingSchleyNorwoodSchoepkeTown of VilasCorningHarrisonTown of NevaWI-35HarrisonBirnamwoodBradleyEnterpriseAntigoWisconsinHewittTown of PeckTomahawkNokomisAntigoTown of ElchoMidwestEast North CentralUnited StatesAniwaTown of UphamMattoonBirnamwoodTomahawkTown of AlmonTown of KingTown of AniwaRussellElandBerlinTown of LynneSummitWilson-1.000000x-1.000000x7.048193x7.048193x7.05x2.222%2.22%15.663%15.7%1-1.000000x-1.000000x4.422449x4.422449x4.42x3.046%3.05%13.469%13.5%2-1.000000x-1.000000x4.105263x4.105263x4.11x1.852%1.85%7.602%7.60%3-1.000000x-1.000000x3.224401x3.224401x3.22x4.054%4.05%13.072%13.1%4-1.000000x-1.000000x3.208333x3.208333x3.21x4.762%4.76%15.278%15.3%5-1.000000x-1.000000x3.045045x3.045045x3.05x1.775%1.78%5.405%5.41%6-1.000000x-1.000000x2.749217x2.749217x2.75x4.006%4.01%11.014%11.0%7-1.000000x-1.000000x2.650878x2.650878x2.65x4.891%4.89%12.966%13.0%8-1.000000x-1.000000x2.526316x2.526316x2.53x6.250%6.25%15.789%15.8%9-1.000000x-1.000000x2.373232x2.373232x2.37x6.483%6.48%15.385%15.4%10-1.000000x-1.000000x2.370248x2.370248x2.37x4.184%4.18%9.917%9.92%11-1.000000x-1.000000x2.230035x2.230035x2.23x7.432%7.43%16.575%16.6%12-1.000000x-1.000000x2.167464x2.167464x2.17x7.285%7.28%15.789%15.8%13-1.000000x-1.000000x2.089385x2.089385x2.09x6.417%6.42%13.408%13.4%14-1.000000x-1.000000x1.923248x1.923248x1.92x5.490%5.49%10.559%10.6%15-1.000000x-1.000000x1.915988x1.915988x1.92x5.917%5.92%11.337%11.3%16-1.000000x-1.000000x1.904264x1.904264x1.90x4.302%4.30%8.192%8.19%17-1.000000x-1.000000x1.873239x1.873239x1.87x6.015%6.02%11.268%11.3%18-1.000000x-1.000000x1.787721x1.787721x1.79x9.907%9.91%17.711%17.7%19-1.000000x-1.000000x1.755398x1.755398x1.76x7.163%7.16%12.573%12.6%20-1.000000x-1.000000x1.654176x1.654176x1.65x4.294%4.29%7.104%7.10%21-1.000000x-1.000000x1.628846x1.628846x1.63x6.494%6.49%10.577%10.6%22-1.000000x-1.000000x1.574440x1.574440x1.57x7.531%7.53%11.858%11.9%23-1.000000x-1.000000x1.547281x1.547281x1.55x10.084%10.1%15.603%15.6%24-1.000000x-1.000000x1.528889x1.528889x1.53x9.375%9.38%14.333%14.3%25-1.000000x-1.000000x1.476492x1.476492x1.48x7.972%7.97%11.770%11.8%-1.000000x-1.000000x1.467803x1.467803x1.47x4.692%4.69%6.887%6.89%26-1.000000x-1.000000x1.411067x1.411067x1.41x7.563%7.56%10.672%10.7%27-1.000000x-1.000000x1.370460x1.370460x1.37x6.537%6.54%8.958%8.96%28-1.000000x-1.000000x1.369369x1.369369x1.37x5.263%5.26%7.207%7.21%29-1.000000x-1.000000x1.245536x1.245536x1.25x5.018%5.02%6.250%6.25%30-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.210693x1.210693x1.21x12.261%12.3%14.844%14.8%31-1.000000x-1.000000x1.210046x1.210046x1.21x11.321%11.3%13.699%13.7%32-1.000000x-1.000000x1.200154x1.200154x1.20x13.004%13.0%15.607%15.6%33-1.000000x-1.000000x1.159148x1.159148x1.16x9.171%9.17%10.631%10.6%34-1.000000x-1.000000x1.157657x1.157657x1.16x10.135%10.1%11.732%11.7%35-1.000000x-1.000000x1.137755x1.137755x1.14x8.072%8.07%9.184%9.18%36-1.000000x-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-1.000000x1.072607x1.072607x1.07x13.846%13.8%14.851%14.9%37-1.000000x-1.000000x1.054477x1.054477x1.05x7.059%7.06%7.443%7.44%38-1.000000x-1.000000x1.051572x1.051572x1.05x26.316%26.3%27.673%27.7%39-1.000000x-1.000000x1.012663x1.012663x1.01x13.433%13.4%13.603%13.6%40-1.058480x-1.058480x1.06x1.000000x1.000000x10.526%10.5%9.945%9.94%41-1.275641x-1.275641x1.28x1.000000x1.000000x11.538%11.5%9.045%9.05%42-1.276190x-1.276190x1.28x1.000000x1.000000x7.937%7.94%6.219%6.22%43-1.342657x-1.342657x1.34x1.000000x1.000000x15.385%15.4%11.458%11.5%44-1.419636x-1.419636x1.42x1.000000x1.000000x14.545%14.5%10.246%10.2%45-1.420455x-1.420455x1.42x1.000000x1.000000x30.303%30.3%21.333%21.3%46-2.064636x-2.064636x2.06x1.000000x1.000000x8.282%8.28%4.011%4.01%47-2.420690x-2.420690x2.42x1.000000x1.000000x15.517%15.5%6.410%6.41%48-2.444444x-2.444444x2.44x1.000000x1.000000x17.460%17.5%7.143%7.14%49-2.812500x-2.812500x2.81x1.000000x1.000000x19.231%19.2%6.838%6.84%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#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 Assembly District 35, selected county subdivisions in Assembly District 35, and entities that contain Assembly District 35
Female
Male
10x5x0x5x10xFM#Town of NevaBirnamwoodTown of BirchCorningHutchinsHardingWilsonTown of VilasAniwaPne RivAntigoTown of UphamRollingBradleyTomahawkHarrisonWI-35MerrillMerrillTown of ElchoEast North CentralMidwestWisconsinUnited StatesSkanawanAntigoPloverTown of KingNokomisWoodboroTown of PolarRock FallsLittle RiceMattoonHamburgBerlinNorwoodSchleyHewittRussellTown of AlmonSchoepkeTomahawkHarrisonTown of Price-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.667%0.67%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.791%0.79%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.117%1.12%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.581%1.58%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.449%2.45%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.113%2.11%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.855%0.85%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.962%0.96%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.990%0.99%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.160%0.16%2.029%2.03%10-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.283%0.28%2.851%2.85%11-1.000000x-1.000000x6.877023x6.877023x6.88x1.176%1.18%8.091%8.09%12-1.000000x-1.000000x5.543478x5.543478x5.54x0.784%0.78%4.348%4.35%13-1.000000x-1.000000x2.594937x2.594937x2.59x0.488%0.49%1.266%1.27%14-1.000000x-1.000000x2.546846x2.546846x2.55x1.070%1.07%2.725%2.73%15-1.000000x-1.000000x2.505051x2.505051x2.51x0.880%0.88%2.204%2.20%16-1.000000x-1.000000x2.066287x2.066287x2.07x0.795%0.79%1.642%1.64%-1.000000x-1.000000x1.928752x1.928752x1.93x0.727%0.73%1.402%1.40%17-1.000000x-1.000000x1.862867x1.862867x1.86x0.765%0.76%1.425%1.42%18-1.000000x-1.000000x1.638367x1.638367x1.64x2.242%2.24%3.673%3.67%19-1.000000x-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-1.000000x1.450980x1.450980x1.45x1.351%1.35%1.961%1.96%20-1.000000x-1.000000x1.307813x1.307813x1.31x1.792%1.79%2.344%2.34%21-1.000000x-1.000000x1.263158x1.263158x1.26x0.962%0.96%1.215%1.21%22-1.000000x-1.000000x1.175373x1.175373x1.18x2.116%2.12%2.488%2.49%23-1.000000x-1.000000x1.167568x1.167568x1.17x1.235%1.23%1.441%1.44%24-1.125951x-1.125951x1.13x1.000000x1.000000x2.367%2.37%2.102%2.10%25-1.272189x-1.272189x1.27x1.000000x1.000000x1.479%1.48%1.163%1.16%26-1.687587x-1.687587x1.69x1.000000x1.000000x2.092%2.09%1.240%1.24%27-2.445946x-2.445946x2.45x1.000000x1.000000x1.351%1.35%0.552%0.55%28-4.649123x-4.649123x4.65x1.000000x1.000000x2.924%2.92%0.629%0.63%29-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.325%1.32%0.000%0%30-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.840%1.84%0.000%0%31-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.275%0.28%0.000%0%32-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.929%0.93%0.000%0%33-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.766%0.77%0.000%0%34-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.909%0.91%0.000%0%35-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.648%1.65%0.000%0%36-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.227%1.23%0.000%0%37-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.658%0.66%0.000%0%38-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.681%1.68%0.000%0%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.333%3.33%0.000%0%40
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 40 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 35 to all of the lower state legislative districts in Wisconsin and to those entities that contain or substantially overlap with Assembly District 35.

No H.S. Diploma by Lower State Legislative District#75

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Assembly District 35, selected other lower state legislative districts in Wisconsin, and entities that contain Assembly District 35
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 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%2,921646.479514%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#76

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Assembly District 35, selected other lower state legislative districts in Wisconsin, and entities that contain Assembly District 35
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 5WI-5Assembly District 2WI-2Assembly District 17WI-17Assembly District 26WI-26Assembly District 59WI-59Assembly District 92WI-92Assembly District 50WI-50Assembly District 35WI-35Assembly 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%9,9695024.782446%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%6,4789215.788715%15.788715%15.8%6,5769415.615333%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#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 Assembly District 35, selected other lower state legislative districts in Wisconsin, and entities that contain Assembly District 35
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 53WI-53Assembly District 52WI-52Assembly District 89WI-89Assembly District 5WI-5Assembly District 7WI-7Assembly District 35WI-35Assembly 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%874431.919970%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%580781.217287%1.217287%1.2%507841.208406%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#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 Assembly District 35, selected other lower state legislative districts in Wisconsin, and entities that contain Assembly District 35
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-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-1.000000x1.037310x1.037310x1.04x7.492%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#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 Assembly District 35, selected other lower state legislative districts in Wisconsin, and entities that contain Assembly District 35
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-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-1.000000x1.316054x1.316054x1.32x1.839%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:
Langlade, Lincoln, Marathon, Oneida, Shawano
Metro Areas:
Merrill Area, Shawano Area, Wausau Area
Cities:
Antigo, Merrill, Tomahawk
Towns:
Ackley, Almon, Aniwa, Antigo, Berlin, Birch, Birnamwood, Bradley, Corning, Elcho, Enterprise, Hamburg, Harding, Harrison, Harrison, Hewitt, Hutchins, King, Little Rice, Lynne, Merrill, Neva, Nokomis, Norwood, Parrish, Peck, Pine River, Plover, Polar, Price, Rock Falls, Rolling, Russell, Schley, Schoepke, Scott, Skanawan, Somo, Summit, Tomahawk, Upham, Vilas, Wilson, Woodboro
Unincorporated Places:
Elcho, Post Lake, Summit Lake
Villages:
Aniwa, Birnamwood, Bowler, Eland, Mattoon
Congressional Districts:
WI-7, WI-8
State Senate District:
WI-12
Unified School Districts:
Antigo, Athens, Bowler, Elcho, Marathon, Merrill, Prentice, Rhinelander, Tomahawk, Wausau, Wittenberg-Birnamwood
ZIP Codes:
54401, 54403, 54408, 54409, 54411, 54414, 54416, 54418, 54424, 54427, 54428, 54435, 54442, 54448, 54450, 54452, 54463, 54485, 54487, 54499, 54501, 54513, 54529, 54531, 54564
Neighboring Assembly Districts:
WI-6, WI-34, WI-36, WI-74, WI-85, WI-86, WI-87
Nearby Assembly Districts:
WI-69, WI-71