Educational Attainment in Assembly District 36, Wisconsin (Assembly District)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wisconsin and Assembly District 36
Assembly District 36
Wisconsin
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma223.912148%38.686675%23.912148%23.9%9,86465.455383%52.676105%65.455383%65.5%27,00127.0k10.632470%8.637220%10.632470%10.6%4,386
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 36
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-38.190222%-38.190222%-38.2%23.912%23.9%38.687%38.7%24.260103%24.260103%+24.3%65.455%65.5%52.676%52.7%23.100597%23.100597%+23.1%10.632%10.6%8.637%8.64%
% percentage with given level in Assembly District 36
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 36
Assembly District 36
Wisconsin
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.237570%1.094506%0.237570%0.2%980.739376%1.609379%0.739376%0.7%3053.653245%6.922399%3.653245%3.7%1,5079.701583%18.747154%9.701583%9.7%4,0029.580374%10.313236%9.580374%9.6%3,95220.903736%20.983992%20.903736%20.9%8,62344.551647%31.692113%44.551647%44.6%18,37818.4k7.306490%5.657202%7.306490%7.3%3,0142.489637%2.130908%2.489637%2.5%1,0270.836343%0.849110%0.836343%0.8%345
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 36
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-78.294324%-78.294324%-78.3%0.238%0.24%1.095%1.09%-54.058309%-54.058309%-54.1%0.739%0.74%1.609%1.61%-47.225743%-47.225743%-47.2%3.653%3.65%6.922%6.92%-48.250369%-48.250369%-48.3%9.702%9.70%18.747%18.7%-7.106035%-7.106035%-7.1%9.580%9.58%10.313%10.3%-0.382464%-0.382464%-0.4%20.904%20.9%20.984%21.0%40.576447%40.576447%+40.6%44.552%44.6%31.692%31.7%29.153760%29.153760%+29.2%7.306%7.31%5.657%5.66%16.834543%16.834543%+16.8%2.490%2.49%2.131%2.13%-1.503502%-1.503502%-1.5%0.836%0.84%0.849%0.85%
% percentage with given level in Assembly District 36
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 36
More Females More Males
Wisconsin
Assembly District 36
20%10%0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-26.235103%-9.820753%-26.235103%26%26.714%26.7%21.162%21.2%5.625043%3.687318%5.625043%6%63.648%63.6%67.229%67.2%20.459161%21.929118%20.459161%20%9.637%9.64%11.609%11.6%
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 36
More Females More Males
Wisconsin
Assembly District 36
20%0%20%40%60%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None69.004430%49.112245%69.004430%69%0.176%0.18%0.298%0.30%39.409184%63.725126%39.409184%39%0.617%0.62%0.860%0.86%-37.300520%-26.714257%-37.300520%37%4.234%4.23%3.084%3.08%-24.285540%-10.314398%-24.285540%24%10.763%10.8%8.660%8.66%-32.238174%-14.230343%-32.238174%32%10.925%10.9%8.261%8.26%-8.416262%-1.828461%-8.416262%8%21.756%21.8%20.067%20.1%12.577897%7.484254%12.577897%13%41.892%41.9%47.161%47.2%25.765939%27.756322%25.765939%26%6.466%6.47%8.132%8.13%15.841129%11.346432%15.841129%16%2.305%2.31%2.671%2.67%-7.363111%-7.363111%7%12.366663%0.866%0.87%0.807%0.81%
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 36
Assembly District 36
Wisconsin
0%5%10%15%20%25%B.X.Total65+45-6435-4425-347.212885%12.755764%7.212885%7.2%92712,85212.9k10.036486%17.674080%10.036486%10.0%1,78817,81517.8k11.853832%22.171538%11.853832%11.9%6655,61012.505026%25.037795%12.505026%12.5%6224,974
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 36
50%40%30%20%10%0%%ref.65+45-6435-4425-34-43.453916%-43.453916%43.5%7.213%7.21%12.756%12.8%-43.213531%-43.213531%43.2%10.036%10.0%17.674%17.7%-46.535813%-46.535813%46.5%11.854%11.9%22.172%22.2%-50.055402%-50.055402%50.1%12.505%12.5%25.038%25.0%
% percentage in Assembly District 36 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 36
More Females More Males
Wisconsin
Assembly District 36
100%50%0%FM65+45-6435-4425-34-1.231410%-1.231410%1.2%15.252186%7.256%7.26%7.168%7.17%-20.006711%-8.291196%-20.006711%20.0%10.972%11.0%9.143%9.14%-21.372866%-22.719305%-21.372866%21.4%13.039%13.0%10.743%10.7%-104.720636%-29.514910%-104.720636%104.7%16.884%16.9%8.247%8.25%
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 36
Assembly District 36
Wisconsin
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$49,095.000000$61,842.000000$49,095.000000$49.1k1,9104.630%4.63%$41,296.000000$48,286.000000$41,296.000000$41.3k4,0029.702%9.70%$30,424.000000$34,771.000000$30,424.000000$30.4k12,57512.6k30.484%30.5%$28,856.000000$30,475.000000$28,856.000000$28.9k18,37818.4k44.552%44.6%$21,899.000000$22,317.000000$21,899.000000$21.9k4,38610.632%10.6%$30,974.000000$36,855.000000$30,974.000000$31.0k41,25141.3k100.000%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 36
Female Male
Wisconsin
Assembly District 36
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-48,920.000000$-281.000000$-55,037.000000$-49,201.000000$49.2k$48,920.000000$55,037.000000$18,141.000000$48,920.000000$48.9k1,027883$-36,590.000000$-40,915.000000$-36,590.000000$36.6k$36,590.000000$14,002.000000$40,915.000000$18,355.000000$50,592.000000$50.6k2,1991,803$-24,663.000000$-28,362.000000$-24,663.000000$24.7k$24,663.000000$15,323.000000$28,362.000000$14,055.000000$39,986.000000$40.0k6,6775,898$-20,845.000000$-23,872.000000$-20,845.000000$20.8k$20,845.000000$15,101.000000$23,872.000000$12,519.000000$35,946.000000$35.9k8,5599,819$-14,494.000000$-16,775.000000$-14,494.000000$14.5k$14,494.000000$11,825.000000$16,775.000000$9,472.000000$26,319.000000$26.3k1,9692,417$-25,032.000000$-30,829.000000$-25,032.000000$25.0k$25,032.000000$12,869.000000$30,829.000000$12,328.000000$37,901.000000$37.9k20,43120.4k20,82020.8k
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 36
Assembly District 36
Wisconsin
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma381.639723%85.899471%81.639723%81.6%3,53573.323077%79.335494%73.323077%73.3%7,14970.119655%73.240943%70.119655%70.1%8,38048.310811%53.971506%48.310811%48.3%1,144
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 36
Female Male
Wisconsin
Assembly District 36
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-8.941935%-5.697819%-8.941935%8.9%8.941935%2.001084%5.697819%1.469036%10.943018%10.9%2,0761,637-23.214286%-20.375458%-17.429079%-43.589744%43.6%23.214286%17.429079%2.936718%23.214286%23.2%1317-18.888889%-14.441272%-4.641233%-18.888889%18.9%18.888889%3.895921%14.441272%22.784810%22.8%1817-35.146444%-31.307944%-35.146444%35.1%35.146444%5.462694%31.307944%5.178771%40.609137%40.6%8084-13.318896%-22.693686%-13.318896%13.3%13.318896%3.547058%22.693686%3.979967%16.865953%16.9%268246
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 36
Female Male
Wisconsin
Assembly District 36
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-12.956618%-3.053651%-28.711494%-2.079187%-16.010269%16.0%12.956618%28.711494%12.956618%13.0%2,4582,931-0.000000%-11.717867%-3.588054%0.000000%0.0%0.000000%0.000000%11.717867%0.000000%0.0%00-35.555556%-44.377167%-35.555556%35.6%35.555556%21.406470%44.377167%4.100638%56.962025%57.0%4532-7.614213%-3.682858%-10.433533%-4.583778%-11.297071%11.3%7.614213%10.433533%7.614213%7.6%1527-11.327879%-1.720307%-13.316792%-4.610459%-13.048186%13.0%11.327879%13.316792%11.327879%11.3%180241
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 36

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

Percentage of the population 25 years and older with given highest level of educational attainment
23.5%24.2%24.9%25.6%26.3%27.0%

Coarse: High School Diploma Educational Attainment by County#16

Percentage of the population 25 years and older with given highest level of educational attainment
62.1%63.3%64.4%65.6%66.7%67.9%

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
8.6%9.6%10.6%11.6%12.5%13.6%

Detailed: Doctorate Degree Educational Attainment by County#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.16%0.25%0.34%0.42%0.51%0.60%

Detailed: Professional Degree Educational Attainment by County#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.47%0.65%0.82%0.98%1.15%1.33%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.40%3.68%3.96%4.23%4.51%4.79%

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

Percentage of the population 25 years and older with given highest level of educational attainment
8.69%9.16%9.62%10.08%10.54%11.01%

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

Percentage of the population 25 years and older with given highest level of educational attainment
8.85%9.23%9.62%10.00%10.38%10.77%

Detailed: Some College Educational Attainment by County#23

Percentage of the population 25 years and older with given highest level of educational attainment
19.4%20.5%21.6%22.6%23.7%24.8%

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
40.0%41.0%42.0%43.0%44.0%45.1%

Detailed: Some High School Educational Attainment by County#25

Percentage of the population 25 years and older with given highest level of educational attainment
6.1%6.8%7.5%8.2%8.9%9.7%

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
1.51%1.84%2.17%2.49%2.81%3.14%

Detailed: None Educational Attainment by County#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.48%0.66%0.83%1.01%1.18%1.36%
Road Data ©OpenStreetMap

Loading...

Failed to load :-(

Map of Educational Attainment by County Subdivision in Assembly District 36

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
12%18%23%28%33%38%

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
43%50%56%63%70%77%

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
4%10%15%20%26%32%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#31

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.29%0.59%0.88%1.17%1.47%

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%0.5%1.1%1.6%2.1%2.7%

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
0.9%2.7%4.5%6.3%8.1%9.9%

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
2.3%5.6%8.9%12.2%15.4%18.8%

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
3.8%6.4%9.0%11.6%14.1%16.8%

Detailed: Some College Educational Attainment by County Subdivision#36

Percentage of the population 25 years and older with given highest level of educational attainment
11.4%15.0%18.5%22.1%25.6%29.2%

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
30%36%41%47%52%58%

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
1.1%5.2%9.3%13.4%17.5%21.7%

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
0.4%2.2%3.9%5.5%7.2%9.0%

Detailed: None Educational Attainment by County Subdivision#40

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%
Road Data ©OpenStreetMap

Loading...

Failed to load :-(

Map of Educational Attainment by Tract in Assembly District 36

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

Percentage of the population 25 years and older with given highest level of educational attainment
18.0%21.4%24.7%28.0%31.3%34.7%

Coarse: High School Diploma Educational Attainment by Tract#42

Percentage of the population 25 years and older with given highest level of educational attainment
56.8%59.9%62.9%65.9%68.9%72.0%

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
4.4%6.8%9.1%11.5%13.9%16.3%

Detailed: Doctorate Degree Educational Attainment by Tract#44

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.23%0.46%0.69%0.92%1.15%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.5%1.7%2.9%4.1%5.2%6.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6.7%8.5%10.3%12.1%13.8%15.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4.8%6.5%8.2%9.9%11.6%13.3%

Detailed: Some College Educational Attainment by Tract#49

Percentage of the population 25 years and older with given highest level of educational attainment
14.4%16.7%18.8%21.0%23.2%25.4%

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
36.2%39.6%43.0%46.3%49.6%53.0%

Detailed: Some High School Educational Attainment by Tract#51

Percentage of the population 25 years and older with given highest level of educational attainment
3.1%4.8%6.4%8.1%9.7%11.4%

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
0.7%1.7%2.6%3.4%4.3%5.2%

Detailed: None Educational Attainment by Tract#53

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.9%1.7%2.6%3.4%4.3%
Road Data ©OpenStreetMap

Loading...

Failed to load :-(

Educational Attainment by Place in Assembly District 36

There are 29 places that are fully or partially contained within Assembly District 36 (26 fully and 3 partially). This section compares all 29 of those to each other, Assembly District 36, and other entities that contain or substantially overlap with Assembly District 36.

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 36, selected places in Assembly District 36, and entities that contain Assembly District 36
0%5%10%15%20%Count#WabenoMole LakeMountainWhite LakeSuringAmbergPoundGoodmanCrandonKeshenaGillettWausaukeeMiddle VillageMiddle VlgPulciferUnited States of AmericaUnited StatesLenaEast North CentralAssembly District 36WI-36CrivitzMidwestZoarTownsendLakewoodNeopitLegend LakeWisconsinOconto FallsPembineLaonaNiagaraCecilGreen ValleyPulaskiDunbar20.521173%20.521173%20.5%63119.696970%19.696970%19.7%65218.217054%18.217054%18.2%47317.619048%17.619048%17.6%37416.783217%16.783217%16.8%48515.972222%15.972222%16.0%23615.862069%15.862069%15.9%46715.714286%15.714286%15.7%33814.274385%14.274385%14.3%180913.622291%13.622291%13.6%881013.501647%13.501647%13.5%1231113.299233%13.299233%13.3%521213.194444%13.194444%13.2%191313.043478%13.043478%13.0%151413.020590%13.020590%13.0%27,818,38027.8M12.466125%12.466125%12.5%461510.719464%10.719464%10.7%3,363,7843.36M10.632470%10.632470%10.6%4,38610.367454%10.367454%10.4%791610.244520%10.244520%10.2%4,641,8354.64M10.000000%10.000000%10.0%71710.000000%10.000000%10.0%7189.961686%9.961686%10.0%26199.653465%9.653465%9.7%39208.943089%8.943089%8.9%88218.637220%8.637220%8.6%336,096336k8.349057%8.349057%8.3%177227.692308%7.692308%7.7%7237.638889%7.638889%7.6%22246.660232%6.660232%6.7%69255.818966%5.818966%5.8%27264.918033%4.918033%4.9%3273.898305%3.898305%3.9%92283.389831%3.389831%3.4%229
Count number of people in category
# rank of place out of 29 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 36, selected places in Assembly District 36, and entities that contain Assembly District 36
0%10%20%30%Count#United States of AmericaUnited StatesMidwestEast North CentralWisconsinLakewoodLegend LakePulaskiDunbarPulciferCecilOconto FallsAssembly District 36WI-36NiagaraCrandonTownsendNeopitLaonaPoundCrivitzAmbergGillettSuringWausaukeeGoodmanWabenoLenaKeshenaPembineWhite LakeMiddle VillageMiddle VlgMountainMole LakeZoarGreen Valley30.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.352490%28.352490%28.4%74125.914634%25.914634%25.9%255222.245763%22.245763%22.2%525322.033898%22.033898%22.0%13419.130435%19.130435%19.1%22518.750000%18.750000%18.8%87617.311321%17.311321%17.3%367714.331774%14.331774%14.3%5,91213.996139%13.996139%14.0%145813.402062%13.402062%13.4%169912.857143%12.857143%12.9%91012.623762%12.623762%12.6%511112.500000%12.500000%12.5%361212.068966%12.068966%12.1%351311.286089%11.286089%11.3%861410.416667%10.416667%10.4%15159.989023%9.989023%10.0%91169.790210%9.790210%9.8%28179.462916%9.462916%9.5%37189.047619%9.047619%9.0%19197.817590%7.817590%7.8%24206.775068%6.775068%6.8%25216.656347%6.656347%6.7%43226.593407%6.593407%6.6%6236.190476%6.190476%6.2%13245.555556%5.555556%5.6%8255.426357%5.426357%5.4%14261.515152%1.515152%1.5%5270.000000%0.000000%0.0%0280.000000%0.000000%0.0%029
Count number of people in category
# rank of place out of 29 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 36, selected places in Assembly District 36, and entities that contain Assembly District 36
0%1%2%3%4%Count#AmbergDunbarUnited States of AmericaUnited StatesOconto FallsMidwestEast North CentralWisconsinCrandonLaonaNeopitKeshenaLegend LakeGillettAssembly District 36WI-36CecilLenaWhite LakePoundPulaskiNiagaraCrivitzMole LakeWausaukeeWabenoSuringLakewoodMountainGoodmanMiddle VillageMiddle VlgPembineZoarPulciferGreen ValleyTownsend4.166667%4.166667%4.2%613.389831%3.389831%3.4%223.336158%3.336158%3.3%7,127,6737.13M3.113208%3.113208%3.1%6632.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k1.982554%1.982554%2.0%2541.736111%1.736111%1.7%551.732673%1.732673%1.7%761.238390%1.238390%1.2%871.219512%1.219512%1.2%1280.987925%0.987925%1.0%990.976946%0.976946%1.0%4030.862069%0.862069%0.9%4100.542005%0.542005%0.5%2110.476190%0.476190%0.5%1120.344828%0.344828%0.3%1130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%0200.000000%0.000000%0.0%0210.000000%0.000000%0.0%0220.000000%0.000000%0.0%0230.000000%0.000000%0.0%0240.000000%0.000000%0.0%0250.000000%0.000000%0.0%0260.000000%0.000000%0.0%0270.000000%0.000000%0.0%0280.000000%0.000000%0.0%029
Count number of people in category
# rank of place out of 29 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 36, selected places in Assembly District 36, and entities that contain Assembly District 36
Female
Male
10x5x0x5x10xFM#ZoarDunbarLakewoodMountainLaonaCrandonKeshenaPoundMole LakePulciferWausaukeeGoodmanMiddle VlgGillettWisconsinWI-36WabenoWhite LakeMidwestEast North CentralUnited StatesCrivitzLegend LakeAmbergNeopitSuringOconto FallsPulaskiLenaNiagaraCecilPembineGreen ValleyTownsend-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%22.581%22.6%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.878%4.88%2-1.000000x-1.000000x5.375000x5.375000x5.38x3.101%3.10%16.667%16.7%3-1.000000x-1.000000x4.441667x4.441667x4.44x6.504%6.50%28.889%28.9%4-1.000000x-1.000000x3.107769x3.107769x3.11x3.871%3.87%12.030%12.0%5-1.000000x-1.000000x1.911007x1.911007x1.91x9.776%9.78%18.681%18.7%6-1.000000x-1.000000x1.794872x1.794872x1.79x10.263%10.3%18.421%18.4%7-1.000000x-1.000000x1.726582x1.726582x1.73x11.364%11.4%19.620%19.6%8-1.000000x-1.000000x1.652866x1.652866x1.65x15.029%15.0%24.841%24.8%9-1.000000x-1.000000x1.636364x1.636364x1.64x10.000%10.0%16.364%16.4%10-1.000000x-1.000000x1.598485x1.598485x1.60x10.427%10.4%16.667%16.7%11-1.000000x-1.000000x1.464639x1.464639x1.46x12.844%12.8%18.812%18.8%12-1.000000x-1.000000x1.450549x1.450549x1.45x10.606%10.6%15.385%15.4%13-1.000000x-1.000000x1.374407x1.374407x1.37x11.379%11.4%15.639%15.6%14-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.204592x1.204592x1.20x9.637%9.64%11.609%11.6%-1.000000x-1.000000x1.183848x1.183848x1.18x18.902%18.9%22.378%22.4%15-1.000000x-1.000000x1.154273x1.154273x1.15x16.346%16.3%18.868%18.9%16-1.000000x-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%-1.117129x-1.117129x1.12x1.000000x1.000000x10.875%10.9%9.735%9.73%17-1.158730x-1.158730x1.16x1.000000x1.000000x9.524%9.52%8.219%8.22%18-1.219251x-1.219251x1.22x1.000000x1.000000x17.647%17.6%14.474%14.5%19-1.367384x-1.367384x1.37x1.000000x1.000000x11.290%11.3%8.257%8.26%20-1.501449x-1.501449x1.50x1.000000x1.000000x20.290%20.3%13.514%13.5%21-1.555556x-1.555556x1.56x1.000000x1.000000x10.000%10.0%6.429%6.43%22-1.742878x-1.742878x1.74x1.000000x1.000000x4.780%4.78%2.742%2.74%23-1.932676x-1.932676x1.93x1.000000x1.000000x16.763%16.8%8.673%8.67%24-2.023923x-2.023923x2.02x1.000000x1.000000x8.835%8.83%4.365%4.37%25-2.784195x-2.784195x2.78x1.000000x1.000000x8.511%8.51%3.057%3.06%26-10.000000x-10.000000x> 10.0x1.000000x1.000000x15.909%15.9%0.000%0%27-10.000000x-10.000000x> 10.0x1.000000x1.000000x13.043%13.0%0.000%0%28-10.000000x-10.000000x> 10.0x1.000000x1.000000x19.444%19.4%0.000%0%29
F percentage of females in category
M percentage of males in category
# rank of place out of 29 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 36, selected places in Assembly District 36, and entities that contain Assembly District 36
Female
Male
10x5x0x5x10xFM#NeopitPoundLaonaWhite LakeAmbergDunbarLegend LakeGillettEast North CentralMidwestWisconsinUnited StatesWI-36Oconto FallsCrandonKeshenaCecilLena-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.211%3.21%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.633%0.63%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.759%3.76%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.943%0.94%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.895%7.89%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.878%4.88%6-1.000000x-1.000000x3.739726x3.739726x3.74x0.549%0.55%2.055%2.05%7-1.000000x-1.000000x2.013216x2.013216x2.01x0.656%0.66%1.322%1.32%8-1.000000x-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-1.000000x1.459859x1.459859x1.46x0.793%0.79%1.158%1.16%-1.000000x-1.000000x1.030321x1.030321x1.03x3.070%3.07%3.163%3.16%9-3.232639x-3.232639x3.23x1.000000x1.000000x3.045%3.04%0.942%0.94%10-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.105%2.11%0.000%0%11-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.702%1.70%0.000%0%12-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.156%1.16%0.000%0%13
F percentage of females in category
M percentage of males in category
# rank of place out of 13 by male-to-female sex ratio

Educational Attainment by Metro Area in Assembly District 36

There are 3 metro areas that are fully or partially contained within Assembly District 36 (0 fully and 3 partially). This section compares all 3 of those to each other, Assembly District 36, and other entities that contain or substantially overlap with Assembly District 36.

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 36, selected metro areas in Assembly District 36, and entities that contain Assembly District 36
0%5%10%Count#United States of AmericaUnited StatesEast North CentralAssembly District 36WI-36MidwestShawano Metro AreaShawano AreaGreen Bay Metro AreaGreen BayWisconsinMarinette Metro AreaMarinette13.020590%13.020590%13.0%27,818,38027.8M10.719464%10.719464%10.7%3,363,7843.36M10.632470%10.632470%10.6%4,38610.244520%10.244520%10.2%4,641,8354.64M9.467882%9.467882%9.5%3,02318.685969%8.685969%8.7%18,36918.4k28.637220%8.637220%8.6%336,096336k8.567031%8.567031%8.6%4,0633
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 36, selected metro areas in Assembly District 36, and entities that contain Assembly District 36
0%10%20%30%Count#United States of AmericaUnited StatesMidwestEast North CentralWisconsinGreen Bay Metro AreaGreen BayShawano Metro AreaShawano AreaMarinette Metro AreaMarinetteAssembly District 36WI-3630.315023%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%1,104,0821.10M25.916521%25.916521%25.9%54,80854.8k115.666009%15.666009%15.7%5,002215.000211%15.000211%15.0%7,114314.331774%14.331774%14.3%5,912
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 36, selected metro areas in Assembly District 36, and entities that contain Assembly District 36
0%1%2%3%Count#United States of AmericaUnited StatesMidwestEast North CentralWisconsinGreen Bay Metro AreaGreen BayShawano Metro AreaShawano AreaMarinette Metro AreaMarinetteAssembly District 36WI-363.336158%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%105,215105k1.879146%1.879146%1.9%3,97411.274703%1.274703%1.3%40721.246152%1.246152%1.2%59130.976946%0.976946%1.0%403
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 36, selected metro areas in Assembly District 36, and entities that contain Assembly District 36
Female
Male
1x0x1xFM#Shawano AreaGreen BayWisconsinWI-36MarinetteMidwestEast North CentralUnited States-1.000000x-1.000000x1.390032x1.390032x1.39x7.940%7.94%11.036%11.0%1-1.000000x-1.000000x1.245810x1.245810x1.25x7.746%7.75%9.650%9.65%2-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.204592x1.204592x1.20x9.637%9.64%11.609%11.6%-1.000000x-1.000000x1.158265x1.158265x1.16x7.943%7.94%9.200%9.20%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#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 36, selected metro areas in Assembly District 36, and entities that contain Assembly District 36
Female
Male
1x0x1xFM#MarinetteShawano AreaGreen BayEast North CentralMidwestWisconsinUnited StatesWI-36-1.000000x-1.000000x1.838625x1.838625x1.84x0.880%0.88%1.617%1.62%1-1.000000x-1.000000x1.796091x1.796091x1.80x0.915%0.92%1.644%1.64%2-1.000000x-1.000000x1.720824x1.720824x1.72x1.386%1.39%2.385%2.38%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-1.000000x1.459859x1.459859x1.46x0.793%0.79%1.158%1.16%
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 36

There are 6 counties that are fully or partially contained within Assembly District 36 (1 fully and 5 partially). This section compares all 6 of those to each other, Assembly District 36, and other entities that contain or substantially overlap with Assembly District 36.

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 36, selected counties in Assembly District 36, and entities that contain Assembly District 36
0%5%10%Count#Forest CountyForestUnited States of AmericaUnited StatesEast North CentralMenominee CountyMenomineeAssembly District 36WI-36MidwestLanglade CountyLangladeOconto CountyOcontoShawano CountyShawanoWisconsinMarinette CountyMarinette13.529321%13.529321%13.5%879113.020590%13.020590%13.0%27,818,38027.8M10.719464%10.719464%10.7%3,363,7843.36M10.685805%10.685805%10.7%268210.632470%10.632470%10.6%4,38610.244520%10.244520%10.2%4,641,8354.64M10.124982%10.124982%10.1%1,44239.607260%9.607260%9.6%2,61549.364060%9.364060%9.4%2,75558.637220%8.637220%8.6%336,096336k8.627217%8.627217%8.6%2,5986
Count number of people in category
# rank of county out of 6 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 36, selected counties in Assembly District 36, and entities that contain Assembly District 36
0%10%20%30%Count#United States of AmericaUnited StatesMidwestEast North CentralWisconsinMenominee CountyMenomineeOconto CountyOcontoLanglade CountyLangladeShawano CountyShawanoMarinette CountyMarinetteAssembly District 36WI-36Forest CountyForest30.315023%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%1,104,0821.10M16.467305%16.467305%16.5%413116.194570%16.194570%16.2%4,408216.051116%16.051116%16.1%2,286315.597702%15.597702%15.6%4,589414.508202%14.508202%14.5%4,369514.331774%14.331774%14.3%5,91214.083423%14.083423%14.1%9156
Count number of people in category
# rank of county out of 6 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 36, selected counties in Assembly District 36, and entities that contain Assembly District 36
0%1%2%3%Count#United States of AmericaUnited StatesMidwestEast North CentralWisconsinLanglade CountyLangladeMarinette CountyMarinetteShawano CountyShawanoForest CountyForestMenominee CountyMenomineeOconto CountyOcontoAssembly District 36WI-363.336158%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%105,215105k1.481533%1.481533%1.5%21111.321644%1.321644%1.3%39821.291594%1.291594%1.3%38031.231338%1.231338%1.2%8041.076555%1.076555%1.1%2751.076454%1.076454%1.1%29360.976946%0.976946%1.0%403
Count number of people in category
# rank of county out of 6 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 36, selected counties in Assembly District 36, and entities that contain Assembly District 36
Female
Male
1x0x1xFM#ShawanoOcontoLangladeForestWisconsinWI-36MidwestEast North CentralUnited StatesMarinetteMenominee-1.000000x-1.000000x1.432451x1.432451x1.43x7.710%7.71%11.044%11.0%1-1.000000x-1.000000x1.374304x1.374304x1.37x8.070%8.07%11.091%11.1%2-1.000000x-1.000000x1.357459x1.357459x1.36x8.605%8.61%11.681%11.7%3-1.000000x-1.000000x1.314307x1.314307x1.31x11.707%11.7%15.387%15.4%4-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.204592x1.204592x1.20x9.637%9.64%11.609%11.6%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.047262x1.047262x1.05x8.430%8.43%8.828%8.83%5-1.000000x-1.000000x1.045009x1.045009x1.05x10.468%10.5%10.939%10.9%6
F percentage of females in category
M percentage of males in category
# rank of county out of 6 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 36, selected counties in Assembly District 36, and entities that contain Assembly District 36
Female
Male
1x0x1x2x3xFM#LangladeShawanoMarinetteMenomineeEast North CentralMidwestWisconsinUnited StatesWI-36OcontoForest-1.000000x-1.000000x3.572666x3.572666x3.57x0.652%0.65%2.331%2.33%1-1.000000x-1.000000x1.801551x1.801551x1.80x0.924%0.92%1.665%1.66%2-1.000000x-1.000000x1.739302x1.739302x1.74x0.967%0.97%1.683%1.68%3-1.000000x-1.000000x1.687573x1.687573x1.69x0.817%0.82%1.378%1.38%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-1.000000x1.459859x1.459859x1.46x0.793%0.79%1.158%1.16%-1.000000x-1.000000x1.084340x1.084340x1.08x1.032%1.03%1.119%1.12%5-1.396887x-1.396887x1.40x1.000000x1.000000x1.433%1.43%1.026%1.03%6
F percentage of females in category
M percentage of males in category
# rank of county out of 6 by male-to-female sex ratio

Educational Attainment by County Subdivision in Assembly District 36

There are 58 county subdivisions that are fully or partially contained within Assembly District 36 (55 fully and 3 partially). This section compares the 50 most populous of those to each other, Assembly District 36, and other entities that contain or substantially overlap with Assembly District 36. The least populous of the compared county subdivisions has a population of 421.

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 36, selected county subdivisions in Assembly District 36, and entities that contain Assembly District 36
0%5%10%15%20%Count#Town of UnderhillUnderhillTown of WabenoWabenoTown of BrazeauBrazeauTown of LangladeLangladeTown of LincolnLincolnPoundTown of AthelstaneAthelstaneTown of NashvilleNashvilleCrandonTown of AmbergAmbergTown of RiverviewRiverviewGillettTown of MountainMtnWausaukeeUnited States of AmericaUnited StatesTown of EvergreenEvergreenTown of Middle InletMiddle InletLenaTown of Wolf RiverWolf RivTown of SpruceSpruceTown of StephensonStephensonTown of WausaukeeWausaukeeTown of LakewoodLakewoodTown of GillettGillettEast North CentralTown of LenaTown of BeaverBeaverTown of MenomineeMenomineeTown of BreedAssembly District 36WI-36CrivitzMidwestTown of HowTown of LaonaTown of BeecherBeecherTown of TownsendTownsendTown of Silver CliffSilver CliffTown of WagnerWagnerTown of PembinePembineWisconsinTown of GoodmanGoodmanOconto FallsTown of WashingtonWashingtonTown of DunbarDunbarTown of LakeTown of Maple ValleyMaple VlyTown of MorganMorganNiagaraTown of NiagaraNiagaraTown of Oconto FallsOconto FallsTown of GroverGroverCecilTown of PorterfieldPorterfieldTown of Green ValleyGrn VlyTown of Chase21.480144%21.480144%21.5%119119.382022%19.382022%19.4%138216.600000%16.600000%16.6%166316.494845%16.494845%16.5%64415.866667%15.866667%15.9%119515.862069%15.862069%15.9%46615.212528%15.212528%15.2%68714.383562%14.383562%14.4%126814.274385%14.274385%14.3%180913.780919%13.780919%13.8%781013.748531%13.748531%13.7%1171113.501647%13.501647%13.5%1231213.421829%13.421829%13.4%911313.299233%13.299233%13.3%521413.020590%13.020590%13.0%27,818,38027.8M12.779553%12.779553%12.8%401512.621359%12.621359%12.6%911612.466125%12.466125%12.5%461712.062937%12.062937%12.1%691811.806798%11.806798%11.8%661911.622074%11.622074%11.6%2782011.336516%11.336516%11.3%952111.265647%11.265647%11.3%812210.749646%10.749646%10.7%762310.719464%10.719464%10.7%3,363,7843.36M10.707804%10.707804%10.7%592410.686164%10.686164%10.7%952510.685805%10.685805%10.7%2682610.681400%10.681400%10.7%582710.632470%10.632470%10.6%4,38610.367454%10.367454%10.4%792810.244520%10.244520%10.2%4,641,8354.64M10.135135%10.135135%10.1%45299.476662%9.476662%9.5%67309.420290%9.420290%9.4%52318.998549%8.998549%9.0%62328.977556%8.977556%9.0%36338.921933%8.921933%8.9%48348.780488%8.780488%8.8%54358.637220%8.637220%8.6%336,096336k8.458647%8.458647%8.5%45368.349057%8.349057%8.3%177378.293020%8.293020%8.3%120387.191011%7.191011%7.2%32397.101281%7.101281%7.1%61407.074570%7.074570%7.1%37416.929348%6.929348%6.9%51426.660232%6.660232%6.7%69436.578947%6.578947%6.6%45446.549708%6.549708%6.5%56455.903724%5.903724%5.9%65465.818966%5.818966%5.8%27475.588235%5.588235%5.6%76485.454545%5.454545%5.5%42494.116095%4.116095%4.1%7850
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#70

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Assembly District 36, selected county subdivisions in Assembly District 36, and entities that contain Assembly District 36
0%10%20%30%Count#United States of AmericaUnited StatesMidwestEast North CentralWisconsinTown of DunbarDunbarTown of Oconto FallsOconto FallsTown of ChaseTown of LakewoodLakewoodTown of LincolnLincolnTown of WausaukeeWausaukeeCecilTown of LakeTown of TownsendTownsendOconto FallsTown of BeaverBeaverTown of StephensonStephensonTown of PorterfieldPorterfieldTown of MenomineeMenomineeTown of NiagaraNiagaraTown of LaonaTown of PembinePembineTown of RiverviewRiverviewTown of Green ValleyGrn VlyTown of HowTown of Wolf RiverWolf RivAssembly District 36WI-36NiagaraCrandonTown of WashingtonWashingtonTown of MorganMorganPoundTown of WabenoWabenoTown of LenaCrivitzTown of SpruceSpruceTown of WagnerWagnerTown of GroverGroverTown of Maple ValleyMaple VlyTown of EvergreenEvergreenTown of Middle InletMiddle InletTown of UnderhillUnderhillTown of GoodmanGoodmanGillettTown of MountainMtnTown of BeecherBeecherTown of AmbergAmbergTown of GillettGillettTown of Silver CliffSilver CliffWausaukeeTown of AthelstaneAthelstaneTown of BrazeauBrazeauTown of LangladeLangladeTown of NashvilleNashvilleLenaTown of Breed30.315023%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%1,104,0821.10M24.943820%24.943820%24.9%111123.040936%23.040936%23.0%197221.635884%21.635884%21.6%410320.584145%20.584145%20.6%148419.600000%19.600000%19.6%147519.093079%19.093079%19.1%160618.750000%18.750000%18.8%87718.160652%18.160652%18.2%156817.851959%17.851959%17.9%123917.311321%17.311321%17.3%3671016.647919%16.647919%16.6%1481116.638796%16.638796%16.6%3981216.544118%16.544118%16.5%2251316.467305%16.467305%16.5%4131415.935673%15.935673%15.9%1091515.700141%15.700141%15.7%1111615.609756%15.609756%15.6%961715.158637%15.158637%15.2%1291814.675325%14.675325%14.7%1131914.639640%14.639640%14.6%652014.510490%14.510490%14.5%832114.331774%14.331774%14.3%5,91213.996139%13.996139%14.0%1452213.402062%13.402062%13.4%1692313.199724%13.199724%13.2%1912412.635870%12.635870%12.6%932512.068966%12.068966%12.1%352611.797753%11.797753%11.8%842711.796733%11.796733%11.8%652811.286089%11.286089%11.3%862911.270125%11.270125%11.3%633011.152416%11.152416%11.2%603111.080836%11.080836%11.1%1223210.898662%10.898662%10.9%573310.862620%10.862620%10.9%343410.818308%10.818308%10.8%783510.469314%10.469314%10.5%583610.338346%10.338346%10.3%55379.989023%9.989023%10.0%91389.734513%9.734513%9.7%66399.601449%9.601449%9.6%53409.540636%9.540636%9.5%54419.476662%9.476662%9.5%67429.476309%9.476309%9.5%38439.462916%9.462916%9.5%37448.948546%8.948546%8.9%40457.900000%7.900000%7.9%79467.474227%7.474227%7.5%29477.305936%7.305936%7.3%64486.775068%6.775068%6.8%25496.445672%6.445672%6.4%3550
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#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 36, selected county subdivisions in Assembly District 36, and entities that contain Assembly District 36
0%1%2%3%Count#Town of LincolnLincolnUnited States of AmericaUnited StatesOconto FallsMidwestEast North CentralTown of AmbergAmbergWisconsinTown of PorterfieldPorterfieldTown of BeaverBeaverTown of DunbarDunbarTown of Oconto FallsOconto FallsCrandonTown of LaonaTown of PembinePembineTown of HowTown of WashingtonWashingtonTown of RiverviewRiverviewTown of NiagaraNiagaraTown of WagnerWagnerTown of MenomineeMenomineeGillettAssembly District 36WI-36CecilTown of UnderhillUnderhillTown of Green ValleyGrn VlyTown of BrazeauBrazeauTown of MountainMtnTown of LakeTown of MorganMorganLenaTown of Silver CliffSilver CliffTown of AthelstaneAthelstaneTown of WabenoWabenoTown of Maple ValleyMaple VlyTown of GoodmanGoodmanTown of BeecherBeecherTown of WausaukeeWausaukeeTown of SpruceSpruceTown of Wolf RiverWolf RivPoundTown of TownsendTownsendTown of LakewoodLakewoodTown of ChaseTown of Middle InletMiddle InletTown of StephensonStephensonNiagaraTown of GroverGroverTown of NashvilleNashvilleCrivitzTown of GillettGillettTown of LenaTown of BreedWausaukeeTown of LangladeLangladeTown of EvergreenEvergreen3.466667%3.466667%3.5%2613.336158%3.336158%3.3%7,127,6737.13M3.113208%3.113208%3.1%6622.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.826855%2.826855%2.8%1632.703886%2.703886%2.7%105,215105k2.573529%2.573529%2.6%3542.249719%2.249719%2.2%2052.247191%2.247191%2.2%1062.222222%2.222222%2.2%1971.982554%1.982554%2.0%2581.838755%1.838755%1.8%1391.788618%1.788618%1.8%11101.576577%1.576577%1.6%7111.451279%1.451279%1.5%21121.410106%1.410106%1.4%12131.169591%1.169591%1.2%8141.115242%1.115242%1.1%6151.076555%1.076555%1.1%27160.987925%0.987925%1.0%9170.976946%0.976946%1.0%4030.862069%0.862069%0.9%4180.722022%0.722022%0.7%4190.649351%0.649351%0.6%5200.600000%0.600000%0.6%6210.589971%0.589971%0.6%4220.582072%0.582072%0.6%5230.543478%0.543478%0.5%4240.542005%0.542005%0.5%2250.498753%0.498753%0.5%2260.447427%0.447427%0.4%2270.421348%0.421348%0.4%3280.382409%0.382409%0.4%2290.375940%0.375940%0.4%2300.362319%0.362319%0.4%2310.357995%0.357995%0.4%3320.357782%0.357782%0.4%2330.349650%0.349650%0.3%2340.344828%0.344828%0.3%1350.290276%0.290276%0.3%2360.278164%0.278164%0.3%2370.263852%0.263852%0.3%5380.138696%0.138696%0.1%1390.000000%0.000000%0.0%0400.000000%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#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 36, selected county subdivisions in Assembly District 36, and entities that contain Assembly District 36
Female
Male
2x1x0x1x2xFM#EvergreenTown of LenaMiddle InletGroverMorganAthelstaneNashvilleMaple VlyBeaverCrandonSilver CliffGoodmanGrn VlyRiverviewPoundTown of BreedLakewoodBeecherWausaukeeLangladeGillettSpruceMtnOconto FallsTown of LakeGillettLincolnWisconsinBrazeauWI-36Wolf RivWagnerWabenoAmbergMidwestEast North CentralTown of ChaseUnited StatesWausaukeeMenomineeTownsendUnderhillWashingtonNiagaraCrivitzStephensonTown of HowDunbarOconto FallsTown of LaonaPembineLenaNiagaraPorterfieldCecil-1.000000x-1.000000x2.756982x2.756982x2.76x6.875%6.88%18.954%19.0%1-1.000000x-1.000000x2.640000x2.640000x2.64x5.747%5.75%15.172%15.2%2-1.000000x-1.000000x2.561503x2.561503x2.56x6.957%6.96%17.819%17.8%3-1.000000x-1.000000x2.392420x2.392420x2.39x3.366%3.37%8.054%8.05%4-1.000000x-1.000000x2.297872x2.297872x2.30x4.167%4.17%9.574%9.57%5-1.000000x-1.000000x2.294847x2.294847x2.29x8.649%8.65%19.847%19.8%6-1.000000x-1.000000x2.121050x2.121050x2.12x9.255%9.26%19.630%19.6%7-1.000000x-1.000000x2.054545x2.054545x2.05x4.425%4.42%9.091%9.09%8-1.000000x-1.000000x1.973184x1.973184x1.97x7.191%7.19%14.189%14.2%9-1.000000x-1.000000x1.911007x1.911007x1.91x9.776%9.78%18.681%18.7%10-1.000000x-1.000000x1.888751x1.888751x1.89x6.044%6.04%11.416%11.4%11-1.000000x-1.000000x1.853850x1.853850x1.85x5.948%5.95%11.027%11.0%12-1.000000x-1.000000x1.772165x1.772165x1.77x3.927%3.93%6.959%6.96%13-1.000000x-1.000000x1.739652x1.739652x1.74x9.951%9.95%17.312%17.3%14-1.000000x-1.000000x1.726582x1.726582x1.73x11.364%11.4%19.620%19.6%15-1.000000x-1.000000x1.704033x1.704033x1.70x7.942%7.94%13.534%13.5%16-1.000000x-1.000000x1.700776x1.700776x1.70x8.286%8.29%14.092%14.1%17-1.000000x-1.000000x1.638992x1.638992x1.64x7.090%7.09%11.620%11.6%18-1.000000x-1.000000x1.598485x1.598485x1.60x10.427%10.4%16.667%16.7%19-1.000000x-1.000000x1.592500x1.592500x1.59x12.755%12.8%20.313%20.3%20-1.000000x-1.000000x1.581086x1.581086x1.58x8.150%8.15%12.887%12.9%21-1.000000x-1.000000x1.522037x1.522037x1.52x9.353%9.35%14.235%14.2%22-1.000000x-1.000000x1.473088x1.473088x1.47x10.769%10.8%15.864%15.9%23-1.000000x-1.000000x1.457645x1.457645x1.46x5.301%5.30%7.727%7.73%24-1.000000x-1.000000x1.410138x1.410138x1.41x5.882%5.88%8.295%8.29%25-1.000000x-1.000000x1.374407x1.374407x1.37x11.379%11.4%15.639%15.6%26-1.000000x-1.000000x1.319187x1.319187x1.32x13.673%13.7%18.037%18.0%27-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.208490x1.208490x1.21x15.030%15.0%18.164%18.2%28-1.000000x-1.000000x1.204592x1.204592x1.20x9.637%9.64%11.609%11.6%-1.000000x-1.000000x1.186463x1.186463x1.19x11.074%11.1%13.139%13.1%29-1.000000x-1.000000x1.174861x1.174861x1.17x8.120%8.12%9.539%9.54%30-1.000000x-1.000000x1.171613x1.171613x1.17x17.942%17.9%21.021%21.0%31-1.000000x-1.000000x1.152838x1.152838x1.15x12.774%12.8%14.726%14.7%32-1.000000x-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-1.000000x1.111622x1.111622x1.11x3.899%3.90%4.334%4.33%33-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.104386x1.104386x1.10x10.750%10.8%11.872%11.9%34-1.000000x-1.000000x1.045009x1.045009x1.05x10.468%10.5%10.939%10.9%35-1.000000x-1.000000x1.021212x1.021212x1.02x8.902%8.90%9.091%9.09%36-1.012149x-1.012149x1.01x1.000000x1.000000x21.612%21.6%21.352%21.4%37-1.055269x-1.055269x1.06x1.000000x1.000000x8.526%8.53%8.079%8.08%38-1.101966x-1.101966x1.10x1.000000x1.000000x6.907%6.91%6.268%6.27%39-1.117129x-1.117129x1.12x1.000000x1.000000x10.875%10.9%9.735%9.73%40-1.313164x-1.313164x1.31x1.000000x1.000000x13.390%13.4%10.196%10.2%41-1.355634x-1.355634x1.36x1.000000x1.000000x11.737%11.7%8.658%8.66%42-1.508254x-1.508254x1.51x1.000000x1.000000x8.676%8.68%5.752%5.75%43-1.555556x-1.555556x1.56x1.000000x1.000000x10.000%10.0%6.429%6.43%44-1.600000x-1.600000x1.60x1.000000x1.000000x11.429%11.4%7.143%7.14%45-1.796656x-1.796656x1.80x1.000000x1.000000x11.371%11.4%6.329%6.33%46-1.932676x-1.932676x1.93x1.000000x1.000000x16.763%16.8%8.673%8.67%47-2.023923x-2.023923x2.02x1.000000x1.000000x8.835%8.83%4.365%4.37%48-2.058080x-2.058080x2.06x1.000000x1.000000x7.533%7.53%3.660%3.66%49-2.784195x-2.784195x2.78x1.000000x1.000000x8.511%8.51%3.057%3.06%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#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 36, selected county subdivisions in Assembly District 36, and entities that contain Assembly District 36
Female
Male
10x5x0x5x10xFM#Oconto FallsGrn VlyWausaukeeWabenoLakewoodPembineSpruceTownsendBeecherAmbergWolf RivWagnerGoodmanAthelstaneSilver CliffPoundWashingtonDunbarRiverviewBeaverTown of HowGillettTown of LaonaMenomineeEast North CentralMidwestWisconsinUnited StatesPorterfieldWI-36Oconto FallsUnderhillNiagaraMtnBrazeauLincolnCrandonTown of ChaseTown of LakeMorganMiddle InletMaple VlyCecilLena-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.318%4.32%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.289%1.29%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.685%0.68%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.901%0.90%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.542%0.54%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.481%3.48%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.712%0.71%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.568%0.57%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.704%0.70%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.479%5.48%10-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.730%0.73%11-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.974%1.97%12-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.760%0.76%13-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.763%0.76%14-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.913%0.91%15-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.633%0.63%16-1.000000x-1.000000x3.895364x3.895364x3.90x0.578%0.58%2.252%2.25%17-1.000000x-1.000000x3.876106x3.876106x3.88x0.913%0.91%3.540%3.54%18-1.000000x-1.000000x2.815490x2.815490x2.82x0.728%0.73%2.050%2.05%19-1.000000x-1.000000x2.338589x2.338589x2.34x1.348%1.35%3.153%3.15%20-1.000000x-1.000000x2.305195x2.305195x2.31x0.939%0.94%2.165%2.16%21-1.000000x-1.000000x2.013216x2.013216x2.01x0.656%0.66%1.322%1.32%22-1.000000x-1.000000x1.913043x1.913043x1.91x1.299%1.30%2.484%2.48%23-1.000000x-1.000000x1.687573x1.687573x1.69x0.817%0.82%1.378%1.38%24-1.000000x-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-1.000000x1.486823x1.486823x1.49x2.068%2.07%3.075%3.07%25-1.000000x-1.000000x1.459859x1.459859x1.46x0.793%0.79%1.158%1.16%-1.000000x-1.000000x1.030321x1.030321x1.03x3.070%3.07%3.163%3.16%26-1.029304x-1.029304x1.03x1.000000x1.000000x0.733%0.73%0.712%0.71%27-1.054054x-1.054054x1.05x1.000000x1.000000x1.201%1.20%1.140%1.14%28-1.086154x-1.086154x1.09x1.000000x1.000000x0.615%0.62%0.567%0.57%29-2.008016x-2.008016x2.01x1.000000x1.000000x0.802%0.80%0.399%0.40%30-2.274129x-2.274129x2.27x1.000000x1.000000x4.826%4.83%2.122%2.12%31-3.232639x-3.232639x3.23x1.000000x1.000000x3.045%3.04%0.942%0.94%32-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.527%0.53%0.000%0%33-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.176%1.18%0.000%0%34-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.111%1.11%0.000%0%35-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.290%0.29%0.000%0%36-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.885%0.88%0.000%0%37-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.702%1.70%0.000%0%38-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.156%1.16%0.000%0%39
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 39 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 36 to all of the lower state legislative districts in Wisconsin and to those entities that contain or substantially overlap with Assembly District 36.

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 36, selected other lower state legislative districts in Wisconsin, and entities that contain Assembly District 36
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#75

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Assembly District 36, selected other lower state legislative districts in Wisconsin, and entities that contain Assembly District 36
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 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%6,4789215.615333%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 36, selected other lower state legislative districts in Wisconsin, and entities that contain Assembly District 36
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 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%580781.208406%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 36, selected other lower state legislative districts in Wisconsin, and entities that contain Assembly District 36
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-36WI-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-1.000000x1.204592x1.204592x1.20x9.637%9.64%11.609%11.6%54-1.000000x-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#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 36, selected other lower state legislative districts in Wisconsin, and entities that contain Assembly District 36
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:
Forest, Langlade, Marinette, Menominee, Oconto, Shawano
Metro Areas:
Green Bay Area, Marinette Area, Shawano Area
Cities:
Crandon, Gillett, Niagara, Oconto Falls
Towns:
Ainsworth, Amberg, Athelstane, Bagley, Beaver, Beecher, Blackwell, Brazeau, Breed, Chase, Doty, Dunbar, Evergreen, Freedom, Gillett, Goodman, Green Valley, Grover, How, Lake, Lakewood, Langlade, Laona, Lena, Lincoln, Maple Valley, Menominee, Middle Inlet, Morgan, Mountain, Nashville, Niagara, Oconto Falls, Pembine, Porterfield, Riverview, Silver Cliff, Spruce, Stephenson, Townsend, Underhill, Wabeno, Wagner, Washington, Wausaukee, Wolf River
Unincorporated Places:
Amberg, Dunbar, Goodman, Green Valley, Keshena, Lakewood, Laona, Legend Lake, Middle Village, Mole Lake, Mountain, Neopit, Pembine, Pulcifer, Townsend, Wabeno, Zoar
Villages:
Cecil, Crivitz, Lena, Pound, Pulaski, Suring, Wausaukee, White Lake
Congressional Districts:
WI-7, WI-8
State Senate District:
WI-12
Unified School Districts:
Antigo, Beecher-Dunbar-Pembine, Bonduel, Coleman, Crandon, Crivitz, Elcho, Gillett, Goodman-Armstrong, Laona, Lena, Marinette, Menominee Indian, Niagara, Oconto Falls, Peshtigo, Pulaski, Shawano, Suring, Wabeno, Wausaukee, White Lake
ZIP Codes:
54101, 54102, 54103, 54104, 54107, 54111, 54112, 54114, 54119, 54120, 54124, 54125, 54127, 54135, 54137, 54138, 54139, 54143, 54149, 54150, 54151, 54154, 54156, 54157, 54159, 54161, 54162, 54166, 54171, 54174, 54175, 54177, 54418, 54424, 54428, 54430, 54462, 54465, 54491, 54511, 54520, 54541, 54566
Neighboring Assembly Districts:
WI-6, WI-34, WI-35, WI-89
Neighboring State House Districts:
MI-108
Nearby Assembly Districts:
WI-4, WI-5, WI-90