Educational Attainment in the Town of Weston, Marathon County, Wisconsin (Town)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Marathon County and the Town of Weston
Town of Weston
Marathon County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma244.547564%36.061155%44.547564%44.5%19253.132251%55.086902%53.132251%53.1%2292.320186%8.851943%2.320186%2.3%10
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 Marathon County at large.
Scope: population of Marathon County and the Town of Weston
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma223.533381%23.533381%+23.5%44.548%44.5%36.061%36.1%-3.548305%-3.548305%-3.5%53.132%53.1%55.087%55.1%-73.788968%-73.788968%-73.8%2.320%2.32%8.852%8.85%
% percentage with given level in the Town of Weston
ref. percentage with given level in Marathon County
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 Marathon County and the Town of Weston
Town of Weston
Marathon County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.524001%04.176334%1.673351%4.176334%4.2%184.640371%5.538664%4.640371%4.6%2022.737819%16.203045%22.737819%22.7%9812.993039%12.122094%12.993039%13.0%5621.345708%18.848924%21.345708%21.3%9231.786543%36.237978%31.786543%31.8%1371.160093%5.013585%1.160093%1.2%50.696056%2.548842%0.696056%0.7%30.464037%1.289516%0.464037%0.5%2
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 Marathon County at large.
Scope: population of Marathon County and the Town of Weston
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.524%0.52%149.579018%149.579018%+149.6%4.176%4.18%1.673%1.67%-16.218581%-16.218581%-16.2%4.640%4.64%5.539%5.54%40.330532%40.330532%+40.3%22.738%22.7%16.203%16.2%7.184775%7.184775%+7.2%12.993%13.0%12.122%12.1%13.246293%13.246293%+13.2%21.346%21.3%18.849%18.8%-12.283895%-12.283895%-12.3%31.787%31.8%36.238%36.2%-76.861013%-76.861013%-76.9%1.160%1.16%5.014%5.01%-72.691298%-72.691298%-72.7%0.696%0.70%2.549%2.55%-64.014619%-64.014619%-64.0%0.464%0.46%1.290%1.29%
% percentage with given level in the Town of Weston
ref. percentage with given level in Marathon County
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 Marathon County and the Town of Weston
More Females More Males
Marathon County
Town of Weston
0%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-8.364389%0.217960%0.217960%0%44.498%44.5%44.595%44.6%0.081162%2.430080%0.081162%0%53.110%53.1%53.153%53.2%-6.220096%-6.220096%6%19.467848%2.392%2.39%2.252%2.25%
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 Marathon County and the Town of Weston
More Females More Males
Marathon County
Town of Weston
1k%0k%1k%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None88.288288%75.104791%88.288288%0k%2.871%2.87%5.405%5.41%-29.824561%-34.415678%-29.824561%0k%5.263%5.26%4.054%4.05%-13.319965%15.540541%15.540541%0k%21.053%21.1%24.324%24.3%-41.626794%-0.492212%-41.626794%0k%15.311%15.3%10.811%10.8%-7.404261%7.280536%7.280536%0k%20.574%20.6%22.072%22.1%-4.680674%-4.680674%0k%7.641824%32.536%32.5%31.081%31.1%1,000.000000%31.639368%1,000.000000%> 1000%0.000%0%2.252%2.25%-1,000.000000%-1,000.000000%> 1000%5.494519%1.435%1.44%0.000%0%-1,000.000000%-1,000.000000%> 1000%5.096354%0.957%0.96%0.000%0%
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 Marathon County and the Town of Weston
Town of Weston
Marathon County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-3416.666667%10.248807%16.666667%16.7%159024.215247%14.511853%24.215247%24.2%5422320.289855%20.019519%20.289855%20.3%146930.612245%24.240751%30.612245%30.6%1549
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 Marathon County at large.
Scope: population of Marathon County and the Town of Weston
0%10%20%30%40%50%60%%ref.65+45-6435-4425-3462.620555%62.620555%62.6%16.667%16.7%10.249%10.2%66.865300%66.865300%66.9%24.215%24.2%14.512%14.5%1.350361%1.350361%1.4%20.290%20.3%20.020%20.0%26.284227%26.284227%26.3%30.612%30.6%24.241%24.2%
% percentage in the Town of Weston with a Bachelor's degree
ref percentage in Marathon County 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 Marathon County and the Town of Weston
More Females More Males
Marathon County
Town of Weston
0%50%100%FM65+45-6435-4425-3463.953488%27.423332%63.953488%64.0%12.766%12.8%20.930%20.9%-14.423077%-18.686778%-14.423077%14.4%25.962%26.0%22.689%22.7%-25.824748%108.125000%108.125000%108.1%13.514%13.5%28.125%28.1%-29.431058%12.500000%12.500000%12.5%28.571%28.6%32.143%32.1%
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 Marathon County and the Town of Weston
Town of Weston
Marathon County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$76,250.000000$64,007.000000$76,250.000000$76.3k388.817%8.82%$58,750.000000$44,887.000000$58,750.000000$58.8k9822.738%22.7%$41,250.000000$34,077.000000$41,250.000000$41.3k14834.339%34.3%$38,750.000000$30,984.000000$38,750.000000$38.8k13731.787%31.8%$47,308.000000$35,578.000000$47,308.000000$47.3k431100.000%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 Marathon County and the Town of Weston
Female Male
Marathon County
Town of Weston
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-51,023.000000$-39,644.000000$-51,023.000000$51.0k$51,023.000000$17,727.000000$39,644.000000$14,012.000000$68,750.000000$68.8k4454$-31,250.000000$-27,969.000000$-31,250.000000$31.3k$31,250.000000$21,250.000000$27,969.000000$14,619.000000$52,500.000000$52.5k7573$-36,500.000000$-25,425.000000$-36,500.000000$36.5k$36,500.000000$5,063.000000$25,425.000000$10,487.000000$41,563.000000$41.6k6869$-38,750.000000$-30,478.000000$-38,750.000000$38.8k$38,750.000000$14,773.000000$30,478.000000$10,883.000000$53,523.000000$53.5k209222
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 Marathon County and the Town of Weston
Town of Weston
Marathon County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma389.189189%86.947640%89.189189%89.2%9989.655172%82.383610%89.655172%89.7%10477.570093%78.967930%77.570093%77.6%8371.428571%56.261920%71.428571%71.4%5
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 Marathon County and the Town of Weston
Female Male
Marathon County
Town of Weston
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackHispanic2-2.314815%-0.148239%-6.531413%-2.463054%2.5%2.314815%6.531413%1.590700%2.314815%2.3%55-0.000000%-0.735294%0.000000%0.0%0.000000%0.000000%0.735294%15.180622%0.000000%0.0%00-0.000000%-38.391502%0.000000%0.0%0.000000%0.000000%38.391502%16.082771%0.000000%0.0%00
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 Marathon County and the Town of Weston
Female Male
Marathon County
Town of Weston
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackHispanic2-29.064039%-23.280733%-2.468371%-29.064039%29.1%29.064039%4.732257%23.280733%33.796296%33.8%7359-0.000000%-18.318318%-13.299329%0.000000%0.0%0.000000%0.000000%18.318318%0.000000%0.0%00-0.000000%-3.467562%-9.582514%0.000000%0.0%0.000000%50.000000%3.467562%50.000000%50.0%20
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the Town of Weston

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

Percentage of the population 25 years and older with given highest level of educational attainment
25.6%28.8%32.0%35.2%38.3%41.5%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
51.7%55.0%58.3%61.6%64.8%68.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6.2%7.5%8.7%9.9%11.1%12.4%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.18%0.36%0.54%0.72%0.90%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.54%0.83%1.10%1.38%1.66%1.94%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.0%3.1%4.2%5.2%6.3%7.3%

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

Percentage of the population 25 years and older with given highest level of educational attainment
9.3%11.6%13.8%16.0%18.3%20.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
10.99%11.39%11.78%12.18%12.57%12.97%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
17.3%18.0%18.7%19.4%20.1%20.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
31.0%34.6%38.1%41.7%45.2%48.8%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
3.6%4.6%5.6%6.6%7.6%8.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.60%0.99%1.38%1.77%2.15%2.54%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.8%1.5%2.1%2.7%3.3%3.9%
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Educational Attainment by County Subdivision in the Wausau Area

There are 62 county subdivisions in the Wausau Area. This section compares the Town of Weston to the 50 most populous county subdivisions in the Wausau Area and to those entities that contain or substantially overlap with the Town of Weston. The least populous of the compared county subdivisions has a population of 547.

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Weston, selected other county subdivisions in the Wausau Area, and entities that contain the Town of Weston
0%10%20%30%Count#ColbyAbbotsfordTown of BernTown of HalseyHalseyTown of HoltonHoltonTown of JohnsonJohnsonTown of WienTown of BeventBeventTown of WausauWausauTown of HewittHewittUnited States of AmericaUnited StatesTown of FrankfortFrankfortTown of HamburgHamburgSpencerTown of PloverPloverMarshfieldTown of HullAthensWausauEast North CentralTown of DayMidwestTown of ReidTown of TexasTown of ClevelandClevelandTown of EmmetWausau Metro AreaWausau AreaMarathon CountyMarathonTown of MarathonMarathonTown of Eau PleineEau PleineWisconsinWestonEdgarTown of RietbrockRietbrockTown of SpencerSpencerMarathon CityD.C. Everest Area School DistrictD.C. EverestTown of ElderonElderonSchofieldRothschildTown of BerlinBerlinTown of RingleRingleTown of EastonEastonTown of KnowltonKnowltonMosineeTown of MosineeMosineeMaineTown of Rib FallsRib FallsTown of McMillanMcMillanTown of CasselCasselStratfordTown of BergenBergenKronenwetterTown of StettinStettinTown of NorrieNorrieTown of Rib MountainRib MtnTown of WestonWeston31.154684%31.154684%31.2%143130.303030%30.303030%30.3%120226.968974%26.968974%27.0%113322.885572%22.885572%22.9%92421.644295%21.644295%21.6%129519.696970%19.696970%19.7%117616.901408%16.901408%16.9%84715.357143%15.357143%15.4%129813.610315%13.610315%13.6%285913.539652%13.539652%13.5%701013.020590%13.020590%13.0%27,818,38027.8M11.805556%11.805556%11.8%511111.680000%11.680000%11.7%731211.544228%11.544228%11.5%1541311.428571%11.428571%11.4%521411.397059%11.397059%11.4%621511.368910%11.368910%11.4%491611.263318%11.263318%11.3%741710.776184%10.776184%10.8%2,8851810.719464%10.719464%10.7%3,363,7843.36M10.682493%10.682493%10.7%721910.244520%10.244520%10.2%4,641,8354.64M9.554140%9.554140%9.6%90209.464417%9.464417%9.5%129219.426628%9.426628%9.4%97229.090909%9.090909%9.1%57238.851943%8.851943%8.9%8,2108.851943%8.851943%8.9%8,2108.729140%8.729140%8.7%68248.655617%8.655617%8.7%47258.637220%8.637220%8.6%336,096336k8.405563%8.405563%8.4%834268.102564%8.102564%8.1%79277.573416%7.573416%7.6%49287.284768%7.284768%7.3%77297.178969%7.178969%7.2%71306.865117%6.865117%6.9%1,5896.537530%6.537530%6.5%27316.483301%6.483301%6.5%99326.110962%6.110962%6.1%228336.074074%6.074074%6.1%41345.758313%5.758313%5.8%71355.484694%5.484694%5.5%43365.430183%5.430183%5.4%77375.414127%5.414127%5.4%151385.191257%5.191257%5.2%76394.885404%4.885404%4.9%81404.801097%4.801097%4.8%35414.464286%4.464286%4.5%65424.454685%4.454685%4.5%29434.315886%4.315886%4.3%47444.230769%4.230769%4.2%22454.026983%4.026983%4.0%197463.813318%3.813318%3.8%67473.314917%3.314917%3.3%24482.769298%2.769298%2.8%127492.320186%2.320186%2.3%1050
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#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Weston, selected other county subdivisions in the Wausau Area, and entities that contain the Town of Weston
0%10%20%30%40%Count#MarshfieldTown of Rib MountainRib MtnTown of StettinStettinTown of McMillanMcMillanKronenwetterTown of WestonWestonUnited States of AmericaUnited StatesMaineMidwestEast North CentralWisconsinTown of BergenBergenD.C. Everest Area School DistrictD.C. EverestRothschildTown of KnowltonKnowltonWestonTown of RingleRingleWausauMosineeWausau Metro AreaWausau AreaMarathon CountyMarathonTown of MosineeMosineeTown of BerlinBerlinTown of MarathonMarathonStratfordTown of SpencerSpencerTown of NorrieNorrieTown of RietbrockRietbrockTown of CasselCasselTown of Rib FallsRib FallsTown of EastonEastonTown of DayMarathon CityAthensTown of HewittHewittTown of ClevelandClevelandTown of PloverPloverTown of TexasTown of WienTown of WausauWausauTown of EmmetEdgarTown of ElderonElderonTown of Eau PleineEau PleineTown of HamburgHamburgSpencerSchofieldTown of ReidTown of HalseyHalseyTown of FrankfortFrankfortTown of HoltonHoltonTown of HullTown of JohnsonJohnsonTown of BernTown of BeventBeventAbbotsfordColby43.014706%43.014706%43.0%234139.795028%39.795028%39.8%1,825238.929994%38.929994%38.9%684336.950549%36.950549%37.0%538432.849550%32.849550%32.8%1,607531.554524%31.554524%31.6%136630.315023%30.315023%30.3%64,767,78764.8M29.794934%29.794934%29.8%494728.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.500000%27.500000%27.5%143826.963622%26.963622%27.0%6,24126.722058%26.722058%26.7%997926.657264%26.657264%26.7%3781026.043136%26.043136%26.0%2,5841125.790754%25.790754%25.8%3181225.519199%25.519199%25.5%6,8321324.381499%24.381499%24.4%6801423.939061%23.939061%23.9%22,20322.2k23.939061%23.939061%23.9%22,20322.2k23.224044%23.224044%23.2%3401521.629630%21.629630%21.6%1461621.052632%21.052632%21.1%1641720.385675%20.385675%20.4%2221819.962157%19.962157%20.0%2111919.889503%19.889503%19.9%1442019.010819%19.010819%19.0%1232118.740399%18.740399%18.7%1222218.106996%18.106996%18.1%1322317.984694%17.984694%18.0%1412417.952522%17.952522%18.0%1212517.391304%17.391304%17.4%1722616.894977%16.894977%16.9%1112716.827853%16.827853%16.8%872816.520894%16.520894%16.5%1702916.263736%16.263736%16.3%743015.847395%15.847395%15.8%2163115.492958%15.492958%15.5%773214.899713%14.899713%14.9%3123314.513557%14.513557%14.5%913414.153846%14.153846%14.2%1383513.559322%13.559322%13.6%563613.259669%13.259669%13.3%723712.960000%12.960000%13.0%813812.743628%12.743628%12.7%1703912.442698%12.442698%12.4%1904011.889597%11.889597%11.9%1124110.945274%10.945274%10.9%444210.648148%10.648148%10.6%46439.899329%9.899329%9.9%59449.744780%9.744780%9.7%42459.595960%9.595960%9.6%57468.830549%8.830549%8.8%37477.857143%7.857143%7.9%66484.040404%4.040404%4.0%16493.485839%3.485839%3.5%1650
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#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Weston, selected other county subdivisions in the Wausau Area, and entities that contain the Town of Weston
0%5%10%Count#MarshfieldTown of McMillanMcMillanTown of Rib MountainRib MtnTown of StettinStettinTown of WestonWestonUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinMaineMarathon CityWausauTown of KnowltonKnowltonWausau Metro AreaWausau AreaMarathon CountyMarathonEdgarTown of SpencerSpencerKronenwetterD.C. Everest Area School DistrictD.C. EverestTown of WienMosineeTown of EastonEastonTown of DayTown of Eau PleineEau PleineTown of ClevelandClevelandTown of RietbrockRietbrockTown of NorrieNorrieTown of RingleRingleTown of Rib FallsRib FallsWestonSchofieldAthensSpencerTown of ReidTown of MosineeMosineeTown of HullTown of FrankfortFrankfortTown of PloverPloverTown of WausauWausauRothschildTown of ElderonElderonTown of BergenBergenTown of BerlinBerlinColbyStratfordTown of HalseyHalseyTown of HoltonHoltonTown of MarathonMarathonTown of HamburgHamburgTown of EmmetTown of BeventBeventTown of HewittHewittTown of JohnsonJohnsonTown of TexasTown of BernTown of CasselCasselAbbotsford11.948529%11.948529%11.9%65110.233516%10.233516%10.2%14927.522896%7.522896%7.5%34534.894707%4.894707%4.9%8644.176334%4.176334%4.2%1853.336158%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%105,215105k2.653800%2.653800%2.7%4462.426694%2.426694%2.4%2472.416704%2.416704%2.4%64782.397743%2.397743%2.4%3492.197352%2.197352%2.2%2,0382.197352%2.197352%2.2%2,0381.743590%1.743590%1.7%17101.702933%1.702933%1.7%18111.676206%1.676206%1.7%82121.628791%1.628791%1.6%3771.609658%1.609658%1.6%8131.577626%1.577626%1.6%44141.530612%1.530612%1.5%12151.483680%1.483680%1.5%10161.473297%1.473297%1.5%8171.457726%1.457726%1.5%15181.391036%1.391036%1.4%9191.381215%1.381215%1.4%10201.378751%1.378751%1.4%17211.371742%1.371742%1.4%10221.350534%1.350534%1.4%134231.309758%1.309758%1.3%20241.217656%1.217656%1.2%8251.199400%1.199400%1.2%16261.167728%1.167728%1.2%11271.161202%1.161202%1.2%17281.160093%1.160093%1.2%5291.157407%1.157407%1.2%5301.098901%1.098901%1.1%5311.050621%1.050621%1.1%22321.018494%1.018494%1.0%38330.968523%0.968523%1.0%4340.961538%0.961538%1.0%5350.888889%0.888889%0.9%6360.871460%0.871460%0.9%4370.826446%0.826446%0.8%9380.746269%0.746269%0.7%3390.671141%0.671141%0.7%4400.641849%0.641849%0.6%5410.640000%0.640000%0.6%4420.637959%0.637959%0.6%4430.476190%0.476190%0.5%4440.386847%0.386847%0.4%2450.336700%0.336700%0.3%2460.293470%0.293470%0.3%4470.238663%0.238663%0.2%1480.000000%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#31

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 the Town of Weston, selected other county subdivisions in the Wausau Area, and entities that contain the Town of Weston
Female
Male
2x0x2x4x6x8xFM#WausauMarathonStettinNorrieFrankfortEastonPloverClevelandRib FallsMcMillanKronenwetterHamburgSpencerCasselElderonTown of ReidBergenTown of TexasHalseyTown of EmmetBeventRib MtnWestonRingleJohnsonD.C. EverestTown of DayRietbrockEdgarEau PleineSpencerWisconsinHewittWausau AreaMarathonStratfordKnowltonTown of WienMosineeHoltonMidwestEast North CentralColbyUnited StatesMaineWestonWausauTown of BernMarathon CityTown of HullMosineeAbbotsfordAthensSchofieldRothschildBerlinMarshfield-1.000000x-1.000000x8.679625x8.679625x8.68x2.667%2.67%23.146%23.1%1-1.000000x-1.000000x3.597661x3.597661x3.60x3.631%3.63%13.064%13.1%2-1.000000x-1.000000x3.483685x3.483685x3.48x1.663%1.66%5.792%5.79%3-1.000000x-1.000000x3.218367x3.218367x3.22x1.506%1.51%4.847%4.85%4-1.000000x-1.000000x2.591199x2.591199x2.59x6.404%6.40%16.594%16.6%5-1.000000x-1.000000x2.573427x2.573427x2.57x2.989%2.99%7.692%7.69%6-1.000000x-1.000000x2.526316x2.526316x2.53x6.250%6.25%15.789%15.8%7-1.000000x-1.000000x2.450466x2.450466x2.45x5.400%5.40%13.233%13.2%8-1.000000x-1.000000x2.360000x2.360000x2.36x2.825%2.82%6.667%6.67%9-1.000000x-1.000000x2.254083x2.254083x2.25x2.707%2.71%6.101%6.10%10-1.000000x-1.000000x2.193382x2.193382x2.19x2.548%2.55%5.588%5.59%11-1.000000x-1.000000x2.167464x2.167464x2.17x7.285%7.28%15.789%15.8%12-1.000000x-1.000000x2.164269x2.164269x2.16x4.536%4.54%9.818%9.82%13-1.000000x-1.000000x2.122122x2.122122x2.12x2.830%2.83%6.006%6.01%14-1.000000x-1.000000x2.029268x2.029268x2.03x4.327%4.33%8.780%8.78%15-1.000000x-1.000000x1.879134x1.879134x1.88x6.624%6.62%12.447%12.4%16-1.000000x-1.000000x1.780684x1.780684x1.78x2.966%2.97%5.282%5.28%17-1.000000x-1.000000x1.690009x1.690009x1.69x6.918%6.92%11.692%11.7%18-1.000000x-1.000000x1.509804x1.509804x1.51x18.182%18.2%27.451%27.5%19-1.000000x-1.000000x1.497326x1.497326x1.50x7.237%7.24%10.836%10.8%20-1.000000x-1.000000x1.480769x1.480769x1.48x12.381%12.4%18.333%18.3%21-1.000000x-1.000000x1.416129x1.416129x1.42x2.289%2.29%3.241%3.24%22-1.000000x-1.000000x1.411467x1.411467x1.41x6.986%6.99%9.861%9.86%23-1.000000x-1.000000x1.409131x1.409131x1.41x4.746%4.75%6.687%6.69%24-1.000000x-1.000000x1.398107x1.398107x1.40x16.245%16.2%22.713%22.7%25-1.000000x-1.000000x1.388390x1.388390x1.39x5.776%5.78%8.020%8.02%-1.000000x-1.000000x1.369369x1.369369x1.37x8.882%8.88%12.162%12.2%26-1.000000x-1.000000x1.337461x1.337461x1.34x6.481%6.48%8.669%8.67%27-1.000000x-1.000000x1.267677x1.267677x1.27x7.171%7.17%9.091%9.09%28-1.000000x-1.000000x1.266763x1.266763x1.27x7.570%7.57%9.589%9.59%29-1.000000x-1.000000x1.261571x1.261571x1.26x10.316%10.3%13.015%13.0%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-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.167315x1.167315x1.17x4.000%4.00%4.669%4.67%32-1.000000x-1.000000x1.160950x1.160950x1.16x5.000%5.00%5.805%5.80%33-1.000000x-1.000000x1.159091x1.159091x1.16x15.686%15.7%18.182%18.2%34-1.000000x-1.000000x1.137963x1.137963x1.14x5.049%5.05%5.746%5.75%35-1.000000x-1.000000x1.131941x1.131941x1.13x20.217%20.2%22.884%22.9%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-1.000000x1.113636x1.113636x1.11x29.932%29.9%33.333%33.3%37-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.021379x-1.021379x1.02x1.000000x1.000000x4.938%4.94%4.835%4.83%38-1.062201x-1.062201x1.06x1.000000x1.000000x2.392%2.39%2.252%2.25%39-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%40-1.084465x-1.084465x1.08x1.000000x1.000000x28.037%28.0%25.854%25.9%41-1.086037x-1.086037x1.09x1.000000x1.000000x7.475%7.47%6.883%6.88%42-1.234698x-1.234698x1.23x1.000000x1.000000x12.621%12.6%10.222%10.2%43-1.252575x-1.252575x1.25x1.000000x1.000000x5.830%5.83%4.654%4.65%44-1.255319x-1.255319x1.26x1.000000x1.000000x33.333%33.3%26.554%26.6%45-1.437961x-1.437961x1.44x1.000000x1.000000x13.196%13.2%9.177%9.18%46-1.500647x-1.500647x1.50x1.000000x1.000000x7.762%7.76%5.172%5.17%47-1.784110x-1.784110x1.78x1.000000x1.000000x7.540%7.54%4.226%4.23%48-2.064636x-2.064636x2.06x1.000000x1.000000x8.282%8.28%4.011%4.01%49-2.480658x-2.480658x2.48x1.000000x1.000000x16.296%16.3%6.569%6.57%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#32

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 the Town of Weston, selected other county subdivisions in the Wausau Area, and entities that contain the Town of Weston
Female
Male
10x5x0x5x10xFM#SchofieldTown of TexasBeventEastonMarathonEau PleineColbyBergenMosineeRib MtnMcMillanWausauWestonSpencerTown of ReidEast North CentralMidwestWisconsinUnited StatesD.C. EverestStettinRothschildWausau AreaMarathonWestonMaineTown of HullNorriePloverMarshfieldElderonMarathon CityEdgarTown of EmmetHoltonAthensKnowltonMosineeStratfordTown of DayRingleKronenwetterRietbrockClevelandRib FallsWausauSpencerJohnsonHamburgBerlinTown of WienTown of BernHalseyHewittFrankfort-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.653%2.65%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.550%0.55%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.952%0.95%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.885%2.88%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.188%1.19%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.740%2.74%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.424%2.42%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.761%1.76%8-1.000000x-1.000000x6.311321x6.311321x6.31x0.299%0.30%1.887%1.89%9-1.000000x-1.000000x2.125840x2.125840x2.13x4.798%4.80%10.199%10.2%10-1.000000x-1.000000x2.020543x2.020543x2.02x6.695%6.70%13.528%13.5%11-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%12-1.000000x-1.000000x1.882883x1.882883x1.88x2.871%2.87%5.405%5.41%13-1.000000x-1.000000x1.843636x1.843636x1.84x1.183%1.18%2.182%2.18%14-1.000000x-1.000000x1.727848x1.727848x1.73x0.855%0.85%1.477%1.48%15-1.000000x-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-1.000000x1.518436x1.518436x1.52x1.301%1.30%1.976%1.98%-1.000000x-1.000000x1.477927x1.477927x1.48x3.919%3.92%5.792%5.79%16-1.000000x-1.000000x1.465368x1.465368x1.47x0.848%0.85%1.243%1.24%17-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.385628x1.385628x1.39x1.135%1.13%1.572%1.57%18-1.000000x-1.000000x1.379717x1.379717x1.38x2.222%2.22%3.066%3.07%19-1.000000x-1.000000x1.373333x1.373333x1.37x0.971%0.97%1.333%1.33%20-1.000000x-1.000000x1.270408x1.270408x1.27x1.205%1.20%1.531%1.53%21-1.000000x-1.000000x1.263158x1.263158x1.26x0.962%0.96%1.215%1.21%22-1.000000x-1.000000x1.149635x1.149635x1.15x11.111%11.1%12.774%12.8%23-1.000000x-1.000000x1.014634x1.014634x1.01x0.962%0.96%0.976%0.98%24-1.000000x-1.000000x1.002024x1.002024x1.00x2.424%2.42%2.429%2.43%25-1.060010x-1.060010x1.06x1.000000x1.000000x1.793%1.79%1.691%1.69%26-1.062500x-1.062500x1.06x1.000000x1.000000x0.658%0.66%0.619%0.62%27-1.151625x-1.151625x1.15x1.000000x1.000000x0.722%0.72%0.627%0.63%28-1.544477x-1.544477x1.54x1.000000x1.000000x1.466%1.47%0.949%0.95%29-1.640693x-1.640693x1.64x1.000000x1.000000x3.030%3.03%1.847%1.85%30-1.749812x-1.749812x1.75x1.000000x1.000000x2.035%2.03%1.163%1.16%31-1.787826x-1.787826x1.79x1.000000x1.000000x1.043%1.04%0.584%0.58%32-1.825658x-1.825658x1.83x1.000000x1.000000x1.974%1.97%1.081%1.08%33-1.998023x-1.998023x2.00x1.000000x1.000000x1.864%1.86%0.933%0.93%34-2.040666x-2.040666x2.04x1.000000x1.000000x2.229%2.23%1.092%1.09%35-3.489198x-3.489198x3.49x1.000000x1.000000x2.160%2.16%0.619%0.62%36-4.232000x-4.232000x4.23x1.000000x1.000000x2.400%2.40%0.567%0.57%37-4.237288x-4.237288x4.24x1.000000x1.000000x2.260%2.26%0.533%0.53%38-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.256%2.26%0.000%0%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.201%2.20%0.000%0%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.722%0.72%0.000%0%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.325%1.32%0.000%0%42-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.840%1.84%0.000%0%43-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.137%3.14%0.000%0%44-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.467%0.47%0.000%0%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.515%1.52%0.000%0%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.766%0.77%0.000%0%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.463%2.46%0.000%0%48
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 48 by male-to-female sex ratio

Educational Attainment by County Subdivision in Wisconsin

There are 1,927 county subdivisions in Wisconsin. This section compares the Town of Weston to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with the Town of Weston. The least populous of the compared county subdivisions has a population of 16,289.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Weston, selected other county subdivisions in Wisconsin, and entities that contain the Town of Weston
0%5%10%15%Count#BeloitRacineMilwaukeeUnited States of AmericaUnited StatesGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshBeaver DamSouth MilwaukeeS MilwaukeeWausau Metro AreaWausau AreaMarathon CountyMarathonMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsD.C. Everest Area School DistrictD.C. EverestCaledoniaWest BendSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekGermantownOnalaskaMadisonMenomonee FallsNew BerlinOconomowocSun PrairieDe PereMuskegoWauwatosaBrookfieldMiddletonTown of WestonWestonMequon18.491431%18.491431%18.5%4,197117.907441%17.907441%17.9%8,710217.485105%17.485105%17.5%63,80063.8k313.020590%13.020590%13.0%27,818,38027.8M12.535944%12.535944%12.5%8,414411.643417%11.643417%11.6%3,806511.549265%11.549265%11.5%7,360611.206563%11.206563%11.2%2,609711.082337%11.082337%11.1%1,455810.776184%10.776184%10.8%2,885910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,399109.995428%9.995428%10.0%4,154119.950027%9.950027%10.0%1,115129.190270%9.190270%9.2%1,379138.851943%8.851943%8.9%8,2108.851943%8.851943%8.9%8,2108.829004%8.829004%8.8%1,091148.713948%8.713948%8.7%2,547158.662728%8.662728%8.7%1,613168.637220%8.637220%8.6%336,096336k8.522583%8.522583%8.5%3,704178.211921%8.211921%8.2%620188.204982%8.204982%8.2%2,296197.709924%7.709924%7.7%1,111207.618904%7.618904%7.6%3,034217.392323%7.392323%7.4%1,924227.158983%7.158983%7.2%3,393237.144208%7.144208%7.1%1,133247.116644%7.116644%7.1%2,075257.048284%7.048284%7.0%889266.865117%6.865117%6.9%1,5896.746719%6.746719%6.7%1,208276.565400%6.565400%6.6%1,422286.289585%6.289585%6.3%1,142296.244351%6.244351%6.2%829306.168099%6.168099%6.2%739316.128290%6.128290%6.1%2,398326.111996%6.111996%6.1%883336.065319%6.065319%6.1%780346.042598%6.042598%6.0%1,149355.863324%5.863324%5.9%1,015365.765641%5.765641%5.8%1,421375.227570%5.227570%5.2%719384.888290%4.888290%4.9%617394.836248%4.836248%4.8%7,351404.484909%4.484909%4.5%1,165414.236891%4.236891%4.2%1,267423.988090%3.988090%4.0%442433.955766%3.955766%4.0%812443.911088%3.911088%3.9%600453.554446%3.554446%3.6%598463.390471%3.390471%3.4%1,167472.806979%2.806979%2.8%761482.731305%2.731305%2.7%351492.320186%2.320186%2.3%102.107701%2.107701%2.1%35550
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#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Weston, selected other county subdivisions in Wisconsin, and entities that contain the Town of Weston
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocMenomonee FallsSun PrairieNew BerlinGermantownFranklinStevens PointDe PereWaukeshaOnalaskaMenomonieMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteOak CreekTown of WestonWestonUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardEast North CentralWisconsinMarshfieldWest BendD.C. Everest Area School DistrictD.C. EverestAshwaubenonWausauOshkoshGreen BayWest AllisWausau Metro AreaWausau AreaMarathon CountyMarathonFond du LacMilwaukeeKenoshaSuperiorJanesvilleCudahyManitowocSouth MilwaukeeS MilwaukeeSheboyganBeaver DamRacineBeloitWisconsin Rapids63.254765%63.254765%63.3%10,65410.7k158.898140%58.898140%58.9%7,569258.155142%58.155142%58.2%20,01720.0k358.053926%58.053926%58.1%15,73915.7k456.337583%56.337583%56.3%85,63285.6k546.358754%46.358754%46.4%8,632644.229902%44.229902%44.2%4,902741.080228%41.080228%41.1%10,67110.7k841.077605%41.077605%41.1%8,432940.780498%40.780498%40.8%12,19512.2k1039.610295%39.610295%39.6%5,4481137.841472%37.841472%37.8%9,8491236.471240%36.471240%36.5%5,2691336.151489%36.151489%36.2%5,5461435.550164%35.550164%35.6%16,84916.8k1535.152908%35.152908%35.2%4,4371635.139073%35.139073%35.1%2,6531733.499762%33.499762%33.5%5,6361833.074254%33.074254%33.1%4,7661932.942347%32.942347%32.9%9,6052032.747831%32.747831%32.7%6,2272132.464907%32.464907%32.5%5,6202232.432916%32.432916%32.4%12,69112.7k2332.296218%32.296218%32.3%12,86112.9k2432.202535%32.202535%32.2%5,1072531.640023%31.640023%31.6%7,7982631.554524%31.554524%31.6%13630.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0932728.919296%28.919296%28.9%5,1782828.909310%28.909310%28.9%3,8382928.794712%28.794712%28.8%3,7033028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.348305%28.348305%28.3%3,5033127.212706%27.212706%27.2%5,8943226.963622%26.963622%27.0%6,24126.525332%26.525332%26.5%3,1783325.519199%25.519199%25.5%6,8323424.478452%24.478452%24.5%10,17310.2k3524.139215%24.139215%24.1%16,20216.2k3623.980394%23.980394%24.0%10,51910.5k3723.939061%23.939061%23.9%22,20322.2k23.939061%23.939061%23.9%22,20322.2k23.606692%23.606692%23.6%6,9003823.517740%23.517740%23.5%85,81285.8k3922.927488%22.927488%22.9%14,61114.6k4022.415597%22.415597%22.4%4,0704122.035848%22.035848%22.0%9,5774221.471552%21.471552%21.5%2,8194321.017138%21.017138%21.0%4,8934420.519827%20.519827%20.5%3,0794519.530103%19.530103%19.5%6,3844618.623951%18.623951%18.6%2,0874717.525031%17.525031%17.5%8,5244816.605719%16.605719%16.6%3,7694915.880441%15.880441%15.9%2,00350
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#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Weston, selected other county subdivisions in Wisconsin, and entities that contain the Town of Weston
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocTown of WestonWestonNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieNeenahFranklinDe PereGermantownMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieBeaver DamWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWausau Metro AreaWausau AreaMarathon CountyMarathonWaukeshaMilwaukeeGreenfieldOak CreekBeloitGreen BayKenoshaWisconsin RapidsD.C. Everest Area School DistrictD.C. EverestJanesvilleOshkoshSuperiorFond du LacHowardCudahyWest BendWest AllisRacineManitowocSouth MilwaukeeS MilwaukeeSheboyganAshwaubenon11.084724%11.084724%11.1%1,867110.022566%10.022566%10.0%1,28829.217661%9.217661%9.2%2,49939.171173%9.171173%9.2%13,94013.9k48.094131%8.094131%8.1%2,78657.196563%7.196563%7.2%1,34065.867120%5.867120%5.9%72574.993377%4.993377%5.0%37784.777583%4.777583%4.8%1,39394.679172%4.679172%4.7%676104.547615%4.547615%4.5%574114.222683%4.222683%4.2%468124.176334%4.176334%4.2%183.762039%3.762039%3.8%1,125133.336158%3.336158%3.3%7,127,6737.13M3.295350%3.295350%3.3%856143.288352%3.288352%3.3%675153.188724%3.188724%3.2%552163.100626%3.100626%3.1%807173.083241%3.083241%3.1%473182.995492%2.995492%3.0%412192.893416%2.893416%2.9%1,311,0191.31M2.869921%2.869921%2.9%1,123202.855432%2.855432%2.9%896,039896k2.794937%2.794937%2.8%1,113212.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450222.637058%2.637058%2.6%380232.552204%2.552204%2.6%286242.416704%2.416704%2.4%647252.396116%2.396116%2.4%380262.356884%2.356884%2.4%422272.303445%2.303445%2.3%438282.244652%2.244652%2.2%298292.197352%2.197352%2.2%2,0382.197352%2.197352%2.2%2,0382.192214%2.192214%2.2%1,039302.043126%2.043126%2.0%7,455311.868992%1.868992%1.9%523321.809624%1.809624%1.8%446331.784377%1.784377%1.8%405341.777440%1.777440%1.8%1,193351.762204%1.762204%1.8%1,123361.688734%1.688734%1.7%213371.628791%1.628791%1.6%3771.555418%1.555418%1.6%676381.549604%1.549604%1.5%644391.525582%1.525582%1.5%277401.454035%1.454035%1.5%425411.384137%1.384137%1.4%178421.302460%1.302460%1.3%171431.292765%1.292765%1.3%280441.251567%1.251567%1.3%549451.155451%1.155451%1.2%562461.133972%1.133972%1.1%264470.893036%0.893036%0.9%134480.868820%0.868820%0.9%284490.784576%0.784576%0.8%9450
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#36

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 the Town of Weston, selected other county subdivisions in Wisconsin, and entities that contain the Town of Weston
Female
Male
1x0x1x2xFM#De PereMenashaOshkoshFranklinCaledoniaManitowocGreen BayD.C. EverestPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorStevens PointAppletonWisconsinRacineGrand ChuteGermantownWausau AreaMarathonMadisonMuskegoKenoshaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisWestonS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%1-1.000000x-1.000000x1.888774x1.888774x1.89x4.337%4.34%8.192%8.19%2-1.000000x-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.534399x1.534399x1.53x5.333%5.33%8.182%8.18%5-1.000000x-1.000000x1.432549x1.432549x1.43x9.294%9.29%13.313%13.3%6-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%7-1.000000x-1.000000x1.388390x1.388390x1.39x5.776%5.78%8.020%8.02%-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%9-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%10-1.000000x-1.000000x1.294088x1.294088x1.29x7.468%7.47%9.664%9.66%11-1.000000x-1.000000x1.293422x1.293422x1.29x5.323%5.32%6.885%6.89%12-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%13-1.000000x-1.000000x1.229327x1.229327x1.23x5.499%5.50%6.760%6.76%14-1.000000x-1.000000x1.219351x1.219351x1.22x6.887%6.89%8.397%8.40%15-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.214505x1.214505x1.21x16.245%16.2%19.730%19.7%16-1.000000x-1.000000x1.207489x1.207489x1.21x6.484%6.48%7.830%7.83%17-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%18-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%19-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%20-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%21-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%22-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%23-1.000000x-1.000000x1.118245x1.118245x1.12x6.211%6.21%6.945%6.95%24-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%25-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.104897x1.104897x1.10x5.834%5.83%6.446%6.45%26-1.000000x-1.000000x1.104741x1.104741x1.10x6.724%6.72%7.428%7.43%27-1.000000x-1.000000x1.077248x1.077248x1.08x4.329%4.33%4.663%4.66%28-1.000000x-1.000000x1.069954x1.069954x1.07x17.920%17.9%19.173%19.2%29-1.000000x-1.000000x1.063348x1.063348x1.06x9.653%9.65%10.265%10.3%30-1.000000x-1.000000x1.059381x1.059381x1.06x6.918%6.92%7.329%7.33%31-1.000000x-1.000000x1.056613x1.056613x1.06x5.903%5.90%6.237%6.24%32-1.000000x-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%33-1.000000x-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%34-1.000000x-1.000000x1.022109x1.022109x1.02x2.704%2.70%2.764%2.76%35-1.000000x-1.000000x1.018058x1.018058x1.02x8.641%8.64%8.797%8.80%36-1.000000x-1.000000x1.015610x1.015610x1.02x8.765%8.76%8.902%8.90%37-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%38-1.000000x-1.000000x1.004509x1.004509x1.00x11.618%11.6%11.670%11.7%39-1.001253x-1.001253x1.00x1.000000x1.000000x5.867%5.87%5.859%5.86%40-1.016031x-1.016031x1.02x1.000000x1.000000x8.734%8.73%8.596%8.60%41-1.022158x-1.022158x1.02x1.000000x1.000000x3.997%4.00%3.910%3.91%42-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%43-1.062201x-1.062201x1.06x1.000000x1.000000x2.392%2.39%2.252%2.25%-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%44-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%45-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%46-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%47-1.237978x-1.237978x1.24x1.000000x1.000000x6.794%6.79%5.488%5.49%48-1.368790x-1.368790x1.37x1.000000x1.000000x9.414%9.41%6.877%6.88%49-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%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#37

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 the Town of Weston, selected other county subdivisions in Wisconsin, and entities that contain the Town of Weston
Female
Male
1x0x1x2x3xFM#NeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauWestonFitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinWest AllisWauwatosaWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaUnited StatesD.C. EverestSuperiorManitowocFranklinLa CrosseS MilwaukeeMiddletonWausau AreaMarathonMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaOconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-1.000000x-1.000000x3.129204x3.129204x3.13x1.585%1.59%4.960%4.96%1-1.000000x-1.000000x2.927208x2.927208x2.93x1.353%1.35%3.961%3.96%2-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%3-1.000000x-1.000000x2.628013x2.628013x2.63x2.819%2.82%7.408%7.41%4-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%5-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%6-1.000000x-1.000000x2.492011x2.492011x2.49x0.802%0.80%1.999%2.00%7-1.000000x-1.000000x2.351130x2.351130x2.35x3.588%3.59%8.437%8.44%8-1.000000x-1.000000x2.345235x2.345235x2.35x6.743%6.74%15.813%15.8%9-1.000000x-1.000000x2.320788x2.320788x2.32x0.952%0.95%2.209%2.21%10-1.000000x-1.000000x2.236989x2.236989x2.24x0.541%0.54%1.209%1.21%11-1.000000x-1.000000x2.147202x2.147202x2.15x0.747%0.75%1.604%1.60%12-1.000000x-1.000000x2.134058x2.134058x2.13x1.646%1.65%3.514%3.51%13-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%14-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%15-1.000000x-1.000000x2.005610x2.005610x2.01x1.223%1.22%2.453%2.45%16-1.000000x-1.000000x1.994529x1.994529x1.99x3.154%3.15%6.290%6.29%17-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%18-1.000000x-1.000000x1.882883x1.882883x1.88x2.871%2.87%5.405%5.41%-1.000000x-1.000000x1.808864x1.808864x1.81x5.081%5.08%9.190%9.19%19-1.000000x-1.000000x1.806537x1.806537x1.81x2.381%2.38%4.302%4.30%20-1.000000x-1.000000x1.786228x1.786228x1.79x2.083%2.08%3.720%3.72%21-1.000000x-1.000000x1.747870x1.747870x1.75x1.115%1.12%1.949%1.95%22-1.000000x-1.000000x1.733790x1.733790x1.73x2.062%2.06%3.574%3.57%23-1.000000x-1.000000x1.728996x1.728996x1.73x1.083%1.08%1.873%1.87%24-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%25-1.000000x-1.000000x1.693783x1.693783x1.69x0.936%0.94%1.585%1.59%26-1.000000x-1.000000x1.663311x1.663311x1.66x6.193%6.19%10.301%10.3%27-1.000000x-1.000000x1.632200x1.632200x1.63x0.991%0.99%1.617%1.62%28-1.000000x-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-1.000000x1.557391x1.557391x1.56x1.833%1.83%2.855%2.85%29-1.000000x-1.000000x1.550147x1.550147x1.55x1.851%1.85%2.870%2.87%30-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.518436x1.518436x1.52x1.301%1.30%1.976%1.98%-1.000000x-1.000000x1.516809x1.516809x1.52x1.222%1.22%1.853%1.85%31-1.000000x-1.000000x1.494707x1.494707x1.49x0.918%0.92%1.372%1.37%32-1.000000x-1.000000x1.475485x1.475485x1.48x2.501%2.50%3.691%3.69%33-1.000000x-1.000000x1.473120x1.473120x1.47x3.888%3.89%5.727%5.73%34-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%35-1.000000x-1.000000x1.452651x1.452651x1.45x8.299%8.30%12.055%12.1%36-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%37-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%38-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%39-1.000000x-1.000000x1.363936x1.363936x1.36x2.638%2.64%3.598%3.60%40-1.000000x-1.000000x1.256412x1.256412x1.26x2.128%2.13%2.674%2.67%41-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%42-1.000000x-1.000000x1.211592x1.211592x1.21x2.722%2.72%3.299%3.30%43-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%44-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%45-1.000000x-1.000000x1.014900x1.014900x1.01x1.677%1.68%1.702%1.70%46-1.000000x-1.000000x1.008002x1.008002x1.01x2.236%2.24%2.254%2.25%47-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%48-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%49-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%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

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Town of Weston to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Town of Weston. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Weston, selected other county subdivisions in the Midwest, and entities that contain the Town of Weston
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWausau Metro AreaWausau AreaMarathon CountyMarathonWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnD.C. Everest Area School DistrictD.C. EverestWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn ArborTown of WestonWeston33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123348.851943%8.851943%8.9%8,2108.851943%8.851943%8.9%8,2108.637220%8.637220%8.6%336,096336k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.865117%6.865117%6.9%1,5896.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,057502.320186%2.320186%2.3%10
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#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Weston, selected other county subdivisions in the Midwest, and entities that contain the Town of Weston
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsTown of WestonWestonUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralWisconsinSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldD.C. Everest Area School DistrictD.C. EverestProviso TownshipProvisoWorth TownshipWorthWausau Metro AreaWausau AreaMarathon CountyMarathonMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2831.554524%31.554524%31.6%13630.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.963622%26.963622%27.0%6,24126.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.939061%23.939061%23.9%22,20322.2k23.939061%23.939061%23.9%22,20322.2k23.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
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#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Weston, selected other county subdivisions in the Midwest, and entities that contain the Town of Weston
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalTown of WestonWestonOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoWausau Metro AreaWausau AreaMarathon CountyMarathonAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoD.C. Everest Area School DistrictD.C. EverestNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.176334%4.176334%4.2%184.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.703886%2.703886%2.7%105,215105k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.197352%2.197352%2.2%2,0382.197352%2.197352%2.2%2,0382.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.628791%1.628791%1.6%3771.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
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#41

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 the Town of Weston, selected other county subdivisions in the Midwest, and entities that contain the Town of Weston
Female
Male
1x0x1xFM#D.C. EverestCedar RapidsLincolnDetroitOmahaToledoWisconsinThorntonWausau AreaMarathonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulWestonLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.388390x1.388390x1.39x5.776%5.78%8.020%8.02%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.062201x-1.062201x1.06x1.000000x1.000000x2.392%2.39%2.252%2.25%-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%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#42

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 the Town of Weston, selected other county subdivisions in the Midwest, and entities that contain the Town of Weston
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalWestonLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborD.C. EverestTopekaSterling HtsPalatineWausau AreaMarathonSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.882883x1.882883x1.88x2.871%2.87%5.405%5.41%-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.518436x1.518436x1.52x1.301%1.30%1.976%1.98%-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%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

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Town of Weston to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Town of Weston. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Weston, selected other county subdivisions in the United States, and entities that contain the Town of Weston
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWausau Metro AreaWausau AreaMarathon CountyMarathonSeattleWisconsinNortheast TarrantNE TarrantD.C. Everest Area School DistrictD.C. EverestPlanoSeattle EastTown of WestonWeston28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.851943%8.851943%8.9%8,2108.851943%8.851943%8.9%8,2108.833573%8.833573%8.8%66,22066.2k478.637220%8.637220%8.6%336,096336k8.418271%8.418271%8.4%31,44331.4k486.865117%6.865117%6.9%1,5895.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k502.320186%2.320186%2.3%10
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#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Weston, selected other county subdivisions in the United States, and entities that contain the Town of Weston
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonTown of WestonWestonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…WisconsinSacramentoEast San Gabriel ValleyE San Gabriel VlyD.C. Everest Area School DistrictD.C. EverestOntarioPhiladelphiaMiamiFort WorthWausau Metro AreaWausau AreaMarathon CountyMarathonSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.554524%31.554524%31.6%13631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.373439%28.373439%28.4%1,104,0821.10M28.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.963622%26.963622%27.0%6,24126.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.939061%23.939061%23.9%22,20322.2k23.939061%23.939061%23.9%22,20322.2k23.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
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#45

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Weston, selected other county subdivisions in the United States, and entities that contain the Town of Weston
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaTown of WestonWestonMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioWausau Metro AreaWausau AreaMarathon CountyMarathonFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxD.C. Everest Area School DistrictD.C. EverestDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.176334%4.176334%4.2%184.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.703886%2.703886%2.7%105,215105k2.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.197352%2.197352%2.2%2,0382.197352%2.197352%2.2%2,0382.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.628791%1.628791%1.6%3771.318660%1.318660%1.3%5,69350
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#46

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 the Town of Weston, selected other county subdivisions in the United States, and entities that contain the Town of Weston
Female
Male
1x0x1xFM#D.C. Everest1, CharlotteDetroitWisconsinWausau AreaMarathonBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastWestonSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.388390x1.388390x1.39x5.776%5.78%8.020%8.02%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%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%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.062201x-1.062201x1.06x1.000000x1.000000x2.392%2.39%2.252%2.25%-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%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#47

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 the Town of Weston, selected other county subdivisions in the United States, and entities that contain the Town of Weston
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityWestonPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlSan DiegoUnited StatesD.C. EverestSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyWausau AreaMarathonE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.882883x1.882883x1.88x2.871%2.87%5.405%5.41%-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-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-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.518436x1.518436x1.52x1.301%1.30%1.976%1.98%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%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

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
County:
Marathon
Metro Area:
Wausau Area
ZIP Codes:
54403, 54471, 54476
Unified School District:
D.C. Everest
Congressional District:
WI-7
State Senate District:
WI-29
Assembly District:
WI-85
Neighboring Cities:
Schofield, Wausau
Neighboring Towns:
Easton, Ringle, Wausau
Neighboring Villages:
Weston
Nearby Towns:
Hewitt, Norrie, Plover, Reid, Rib Mountain, Texas