Educational Attainment in Butler, Waukesha County, Wisconsin (Village)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Waukesha County and Butler
Butler
Waukesha County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma236.915562%51.250231%36.915562%36.9%52956.106071%44.633619%56.106071%56.1%8046.978367%4.116150%6.978367%7.0%100
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 Waukesha County at large.
Scope: population of Waukesha County and Butler
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-27.969960%-27.969960%-28.0%36.916%36.9%51.250%51.3%25.703611%25.703611%+25.7%56.106%56.1%44.634%44.6%69.536267%69.536267%+69.5%6.978%6.98%4.116%4.12%
% percentage with given level in Butler
ref. percentage with given level in Waukesha 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 Waukesha County and Butler
Butler
Waukesha County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%1.279011%00.000000%0.000000%0.0%2.663732%04.675506%10.312096%4.675506%4.7%6722.540126%27.368596%22.540126%22.5%3239.699930%9.626795%9.699930%9.7%13921.353803%20.460198%21.353803%21.4%30634.752268%24.173421%34.752268%34.8%4985.024424%2.678575%5.024424%5.0%721.674808%1.142168%1.674808%1.7%240.279135%0.295407%0.279135%0.3%4
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 Waukesha County at large.
Scope: population of Waukesha County and Butler
-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%1.279%1.28%-100.000000%-100.000000%-100.0%0.000%0%2.664%2.66%-54.659985%-54.659985%-54.7%4.676%4.68%10.312%10.3%-17.642376%-17.642376%-17.6%22.540%22.5%27.369%27.4%0.759703%0.759703%+0.8%9.700%9.70%9.627%9.63%4.367530%4.367530%+4.4%21.354%21.4%20.460%20.5%43.762306%43.762306%+43.8%34.752%34.8%24.173%24.2%87.578280%87.578280%+87.6%5.024%5.02%2.679%2.68%46.634094%46.634094%+46.6%1.675%1.67%1.142%1.14%-5.508463%-5.508463%-5.5%0.279%0.28%0.295%0.30%
% percentage with given level in Butler
ref. percentage with given level in Waukesha 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 Waukesha County and Butler
More Females More Males
Waukesha County
Butler
80%60%40%20%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-1.627311%5.140313%5.140313%5%35.977%36.0%37.827%37.8%4.119457%0.626350%4.119457%4%54.958%55.0%57.221%57.2%-83.065785%-83.065785%83%14.236893%9.065%9.07%4.952%4.95%
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 Waukesha County and Butler
More Females More Males
Waukesha County
Butler
1k%0k%1k%FMMaster's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-141.990085%-5.545539%-141.990085%0k%6.657%6.66%2.751%2.75%-2.338859%-2.832788%-2.338859%0k%22.805%22.8%22.283%22.3%-17.694700%96.333951%96.333951%0k%6.516%6.52%12.792%12.8%42.534499%10.090108%42.534499%0k%17.564%17.6%25.034%25.0%-16.176364%-7.252655%-16.176364%0k%37.394%37.4%32.187%32.2%-28.718130%-28.718130%0k%20.427611%5.666%5.67%4.402%4.40%-1,000.000000%-1.707292%-1,000.000000%> 1000%3.399%3.40%0.000%0%1,000.000000%26.586540%1,000.000000%> 1000%0.000%0%0.550%0.55%
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 Waukesha County and Butler
Butler
Waukesha County
0%10%20%30%40%B.X.Total65+45-6435-4425-344.375000%17.462313%4.375000%4.4%1432017.068966%27.631968%17.068966%17.1%9958030.625000%33.706060%30.625000%30.6%4916043.163539%34.875221%43.163539%43.2%161373
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 Waukesha County at large.
Scope: population of Waukesha County and Butler
60%40%20%0%20%%ref.65+45-6435-4425-34-74.946046%-74.946046%74.9%4.375%4.38%17.462%17.5%-38.227471%-38.227471%38.2%17.069%17.1%27.632%27.6%-9.140968%-9.140968%9.1%30.625%30.6%33.706%33.7%23.765636%23.765636%23.8%43.164%43.2%34.875%34.9%
% percentage in Butler with a Bachelor's degree
ref percentage in Waukesha 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 Waukesha County and Butler
More Females More Males
Waukesha County
Butler
60%40%20%0%20%FM65+45-6435-4425-34-21.570681%-21.570681%21.6%30.323177%4.712%4.71%3.876%3.88%-23.210071%-4.447321%-23.210071%23.2%18.710%18.7%15.185%15.2%-64.500349%-14.397068%-64.500349%64.5%41.509%41.5%25.234%25.2%-17.622708%-23.307988%-17.622708%17.6%47.368%47.4%40.271%40.3%
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 Waukesha County and Butler
Butler
Waukesha County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$57,292.000000$76,617.000000$57,292.000000$57.3k674.676%4.68%$46,442.000000$58,818.000000$46,442.000000$46.4k32322.540%22.5%$40,458.000000$40,646.000000$40,458.000000$40.5k44531.054%31.1%$37,054.000000$34,269.000000$37,054.000000$37.1k49834.752%34.8%$25,972.000000$27,052.000000$25,972.000000$26.0k1006.978%6.98%$42,174.000000$47,965.000000$42,174.000000$42.2k1,433100.000%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 Waukesha County and Butler
Female Male
Waukesha County
Butler
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-56,250.000000$-9,643.000000$-61,695.000000$-65,893.000000$65.9k$56,250.000000$61,695.000000$35,036.000000$56,250.000000$56.3k4720$-38,333.000000$-46,051.000000$-38,333.000000$38.3k$38,333.000000$15,906.000000$46,051.000000$29,713.000000$54,239.000000$54.2k161162$-25,500.000000$-31,520.000000$-25,500.000000$25.5k$25,500.000000$16,550.000000$31,520.000000$18,962.000000$42,050.000000$42.1k170275$-34,091.000000$-26,235.000000$-34,091.000000$34.1k$34,091.000000$6,559.000000$26,235.000000$16,509.000000$40,650.000000$40.7k264234$-37,625.000000$-38,021.000000$-37,625.000000$37.6k$37,625.000000$9,117.000000$38,021.000000$19,862.000000$46,742.000000$46.7k706727
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 Waukesha County and Butler
Butler
Waukesha County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.021505%86.056133%86.021505%86.0%32077.310924%81.017981%77.310924%77.3%27666.873065%77.121085%66.873065%66.9%21631.147541%62.429379%31.147541%31.1%19
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 Waukesha County and Butler
Female Male
Waukesha County
Butler
Shaded bar tips show excess over facing bar.
60%40%20%0%20%MFWhite1BlackAsianHispanic2-4.255319%-3.087711%-4.255319%4.3%4.255319%1.023273%3.087711%0.404890%5.278592%5.3%3626-0.000000%-41.666667%-13.260026%-41.666667%41.7%0.000000%13.260026%6.148973%0.000000%0.0%020-0.000000%-72.000000%-5.483368%-2.471445%-72.000000%72.0%0.000000%5.483368%0.000000%0.0%018-0.000000%-17.870895%0.000000%0.0%0.000000%0.000000%17.870895%4.097318%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 Waukesha County and Butler
Female Male
Waukesha County
Butler
Shaded bar tips show excess over facing bar.
50%0%50%100%MFWhite1BlackAsianHispanic2-24.926686%-7.970204%-41.231586%-32.896890%32.9%24.926686%41.231586%0.781767%24.926686%24.9%170201-0.000000%-25.587643%-1.837972%0.000000%0.0%0.000000%0.000000%25.587643%0.000000%0.0%00-28.000000%-67.710049%-28.000000%28.0%28.000000%72.000000%67.710049%7.783714%100.000000%100.0%127-0.000000%-18.223383%-5.242075%0.000000%0.0%0.000000%0.000000%18.223383%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by Neighborhood in Butler

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

No H.S. Diploma by Neighborhood#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Butler, selected neighborhoods in Butler, and entities that contain Butler
0%5%10%Count#United States of AmericaUnited StatesEast North CentralMidwestMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeWisconsinTimmerman West NeighborhoodTimmerman WButler200600Tract 200600ButlerHamilton School DistrictHamiltonWaukesha CountyWaukesha13.020590%13.020590%13.0%27,818,38027.8M10.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M9.572772%9.572772%9.6%100,754101k8.637220%8.637220%8.6%336,096336k7.371400%7.371400%7.4%21922016.978367%6.978367%7.0%1006.978367%6.978367%7.0%1006.978367%6.978367%7.0%1004.550241%4.550241%4.6%8214.116150%4.116150%4.1%11,37011.4k
Count number of people in category
# rank of neighborhood out of 1 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Neighborhood#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Butler, selected neighborhoods in Butler, and entities that contain Butler
0%10%20%30%40%Count#Waukesha CountyWaukeshaHamilton School DistrictHamiltonMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinButler200600Tract 200600ButlerTimmerman West NeighborhoodTimmerman W41.623436%41.623436%41.6%114,976115k37.493765%37.493765%37.5%6,76533.810164%33.810164%33.8%355,854356k30.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.215632%27.215632%27.2%39027.215632%27.215632%27.2%39027.215632%27.215632%27.2%39016.824622%16.824622%16.8%5021
Count number of people in category
# rank of neighborhood out of 1 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Neighborhood#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Butler, selected neighborhoods in Butler, and entities that contain Butler
0%1%2%3%Count#Waukesha CountyWaukeshaUnited States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMidwestEast North CentralWisconsinHamilton School DistrictHamiltonTimmerman West NeighborhoodTimmerman WButler200600Tract 200600Butler3.942743%3.942743%3.9%10,89110.9k3.336158%3.336158%3.3%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.233553%2.233553%2.2%4030.133828%0.133828%0.1%3410.000000%0.000000%0.0%00.000000%0.000000%0.0%00.000000%0.000000%0.0%0
Count number of people in category
# rank of neighborhood out of 1 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by Neighborhood#18

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 Butler, selected neighborhoods in Butler, and entities that contain Butler
Female
Male
1x0x1xFM#WisconsinWaukeshaMidwestEast North CentralTimmerman WUnited StatesMilwaukeeHamiltonButlerTract 200600Butler-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%-1.000000x-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-1.000000x1.111066x1.111066x1.11x7.031%7.03%7.812%7.81%1-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.058727x1.058727x1.06x4.423%4.42%4.682%4.68%-1.830658x-1.830658x1.83x1.000000x1.000000x9.065%9.07%4.952%4.95%-1.830658x-1.830658x1.83x1.000000x1.000000x9.065%9.07%4.952%4.95%-1.830658x-1.830658x1.83x1.000000x1.000000x9.065%9.07%4.952%4.95%
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 1 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Milwaukee Area

There are 96 county subdivisions in the Milwaukee Area. This section compares Butler to the 50 most populous county subdivisions in the Milwaukee Area and to those entities that contain or substantially overlap with Butler. The least populous of the compared county subdivisions has a population of 4,783.

No H.S. Diploma by County Subdivision#19

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Butler, selected other county subdivisions in the Milwaukee Area, and entities that contain Butler
0%5%10%15%Count#MilwaukeeUnited States of AmericaUnited StatesSt. FrancisCudahyEast North CentralMidwestWest AllisMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSouth MilwaukeeS MilwaukeeWisconsinGreenfieldFranklinWaukeshaHartfordButler200600Tract 200600ButlerWest BendSlingerJacksonBrown DeerOak CreekHales CornersHartlandGermantownGlendaleHamilton School DistrictHamiltonMenomonee FallsPort WashingtonTown of WaukeshaWaukeshaTown of BrookfieldBrookfieldNew BerlinWaukesha CountyWaukeshaOconomowocSummitSussexMuskegoGraftonTown of OconomowocOconomowocTown of LisbonLisbonWauwatosaGreendalePewaukeeRichfieldCedarburgMukwonagoDelafieldBrookfieldTown of VernonVernonTown of MukwonagoMukwonagoElm GroveTown of GeneseeGeneseeShorewoodWhitefish BayMequonFox PointTown of MertonMertonPewaukeeTown of CedarburgCedarburgTown of DelafieldDelafield17.485105%17.485105%17.5%63,80063.8k113.020590%13.020590%13.0%27,818,38027.8M11.382006%11.382006%11.4%859211.082337%11.082337%11.1%1,455310.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,39949.572772%9.572772%9.6%100,754101k9.190270%9.190270%9.2%1,37958.637220%8.637220%8.6%336,096336k8.204982%8.204982%8.2%2,29667.392323%7.392323%7.4%1,92477.158983%7.158983%7.2%3,39387.103195%7.103195%7.1%67896.978367%6.978367%7.0%1006.978367%6.978367%7.0%1006.978367%6.978367%7.0%1006.565400%6.565400%6.6%1,422106.437518%6.437518%6.4%221116.248676%6.248676%6.2%295126.204545%6.204545%6.2%546135.765641%5.765641%5.8%1,421145.418012%5.418012%5.4%302155.411725%5.411725%5.4%324165.227570%5.227570%5.2%719174.601195%4.601195%4.6%439184.550241%4.550241%4.6%8214.484909%4.484909%4.5%1,165194.357654%4.357654%4.4%347204.353215%4.353215%4.4%281214.339461%4.339461%4.3%203224.236891%4.236891%4.2%1,267234.116150%4.116150%4.1%11,37011.4k3.988090%3.988090%4.0%442243.883495%3.883495%3.9%124253.648037%3.648037%3.6%250263.554446%3.554446%3.6%598273.539607%3.539607%3.5%290283.490760%3.490760%3.5%221293.474753%3.474753%3.5%267303.390471%3.390471%3.4%1,167313.368560%3.368560%3.4%357323.203803%3.203803%3.2%310333.118254%3.118254%3.1%260343.102166%3.102166%3.1%242352.819914%2.819914%2.8%145362.818329%2.818329%2.8%139372.806979%2.806979%2.8%761382.798574%2.798574%2.8%157392.790041%2.790041%2.8%158402.671933%2.671933%2.7%115412.638727%2.638727%2.6%136422.374614%2.374614%2.4%223432.149733%2.149733%2.1%201442.107701%2.107701%2.1%355451.951017%1.951017%2.0%94461.940402%1.940402%1.9%112471.525540%1.525540%1.5%89481.091193%1.091193%1.1%42491.017592%1.017592%1.0%5950
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#20

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Butler, selected other county subdivisions in the Milwaukee Area, and entities that contain Butler
0%20%40%60%Count#Fox PointElm GroveWhitefish BayShorewoodMequonWauwatosaBrookfieldCedarburgTown of DelafieldDelafieldDelafieldPewaukeeGlendaleSummitTown of MertonMertonTown of CedarburgCedarburgTown of BrookfieldBrookfieldOconomowocTown of OconomowocOconomowocWaukesha CountyWaukeshaMenomonee FallsNew BerlinGreendaleGraftonSussexGermantownRichfieldHales CornersTown of GeneseeGeneseeHartlandFranklinHamilton School DistrictHamiltonPort WashingtonBrown DeerTown of WaukeshaWaukeshaPewaukeeTown of MukwonagoMukwonagoWaukeshaMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMuskegoTown of LisbonLisbonOak CreekUnited States of AmericaUnited StatesSlingerMukwonagoTown of VernonVernonSt. FrancisMidwestGreenfieldEast North CentralWisconsinButler200600Tract 200600ButlerWest BendJacksonHartfordWest AllisMilwaukeeCudahySouth MilwaukeeS Milwaukee76.587796%76.587796%76.6%3,690172.188662%72.188662%72.2%3,107272.160428%72.160428%72.2%6,747367.511447%67.511447%67.5%6,340463.254765%63.254765%63.3%10,65410.7k558.155142%58.155142%58.2%20,01720.0k658.053926%58.053926%58.1%15,73915.7k757.351622%57.351622%57.4%4,474856.881683%56.881683%56.9%3,298952.331711%52.331711%52.3%2,5811051.705250%51.705250%51.7%5,0031151.200084%51.200084%51.2%4,8851250.078296%50.078296%50.1%1,5991349.306999%49.306999%49.3%2,8461447.804625%47.804625%47.8%1,8401544.292433%44.292433%44.3%2,0721644.229902%44.229902%44.2%4,9021744.116253%44.116253%44.1%2,7931841.623436%41.623436%41.6%114,976115k41.080228%41.080228%41.1%10,67110.7k1940.780498%40.780498%40.8%12,19512.2k2040.649179%40.649179%40.6%4,3082140.412547%40.412547%40.4%3,3112240.376477%40.376477%40.4%2,7672339.610295%39.610295%39.6%5,4482439.385944%39.385944%39.4%3,2842539.092214%39.092214%39.1%2,1792638.125728%38.125728%38.1%1,9652737.898781%37.898781%37.9%2,2692837.841472%37.841472%37.8%9,8492937.493765%37.493765%37.5%6,76537.310059%37.310059%37.3%2,9713037.045455%37.045455%37.0%3,2603135.879163%35.879163%35.9%2,3163235.755914%35.755914%35.8%2,0863335.740773%35.740773%35.7%2,0243435.550164%35.550164%35.6%16,84916.8k3533.810164%33.810164%33.8%355,854356k33.499762%33.499762%33.5%5,6363632.053618%32.053618%32.1%2,4633731.640023%31.640023%31.6%7,7983830.315023%30.315023%30.3%64,767,78764.8M29.478590%29.478590%29.5%1,0123929.443796%29.443796%29.4%1,5144029.197861%29.197861%29.2%1,6384129.177156%29.177156%29.2%2,2024228.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0934328.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.215632%27.215632%27.2%39027.215632%27.215632%27.2%39027.215632%27.215632%27.2%39027.212706%27.212706%27.2%5,8944426.329168%26.329168%26.3%1,2434525.584075%25.584075%25.6%2,4424623.980394%23.980394%24.0%10,51910.5k4723.517740%23.517740%23.5%85,81285.8k4821.471552%21.471552%21.5%2,8194920.519827%20.519827%20.5%3,07950
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#21

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Butler, selected other county subdivisions in the Milwaukee Area, and entities that contain Butler
0%5%10%15%Count#Fox PointElm GroveShorewoodWhitefish BayMequonBrookfieldWauwatosaGlendaleTown of DelafieldDelafieldCedarburgSummitTown of CedarburgCedarburgTown of GeneseeGeneseeDelafieldOconomowocTown of OconomowocOconomowocTown of MertonMertonWaukesha CountyWaukeshaTown of BrookfieldBrookfieldNew BerlinGreendalePewaukeeHartlandPewaukeeTown of MukwonagoMukwonagoUnited States of AmericaUnited StatesBrown DeerMenomonee FallsMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeePort WashingtonTown of WaukeshaWaukeshaFranklinGermantownMidwestHales CornersEast North CentralSt. FrancisWisconsinMuskegoRichfieldGraftonTown of VernonVernonHamilton School DistrictHamiltonWaukeshaMilwaukeeMukwonagoGreenfieldSussexOak CreekSlingerCudahyWest BendWest AllisTown of LisbonLisbonHartfordSouth MilwaukeeS MilwaukeeButler200600Tract 200600ButlerJackson19.966791%19.966791%20.0%962115.381041%15.381041%15.4%662213.736556%13.736556%13.7%1,290312.064171%12.064171%12.1%1,128411.084724%11.084724%11.1%1,86759.217661%9.217661%9.2%2,49968.094131%8.094131%8.1%2,78676.435384%6.435384%6.4%61486.364264%6.364264%6.4%36995.704397%5.704397%5.7%445105.606013%5.606013%5.6%179114.702520%4.702520%4.7%181124.520761%4.520761%4.5%233134.318735%4.318735%4.3%213144.222683%4.222683%4.2%468154.059390%4.059390%4.1%257164.054054%4.054054%4.1%234173.942743%3.942743%3.9%10,89110.9k3.826422%3.826422%3.8%179183.762039%3.762039%3.8%1,125193.727118%3.727118%3.7%395203.679206%3.679206%3.7%356213.574411%3.574411%3.6%214223.359616%3.359616%3.4%196233.355112%3.355112%3.4%190243.336158%3.336158%3.3%7,127,6737.13M3.329545%3.329545%3.3%293253.295350%3.295350%3.3%856263.286157%3.286157%3.3%34,58734.6k3.214869%3.214869%3.2%256273.191325%3.191325%3.2%206283.100626%3.100626%3.1%807292.995492%2.995492%3.0%412302.893416%2.893416%2.9%1,311,0191.31M2.870470%2.870470%2.9%160312.855432%2.855432%2.9%896,039896k2.756062%2.756062%2.8%208322.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450332.494603%2.494603%2.5%208342.441108%2.441108%2.4%200352.424242%2.424242%2.4%136362.233553%2.233553%2.2%4032.192214%2.192214%2.2%1,039372.043126%2.043126%2.0%7,455381.905873%1.905873%1.9%98391.868992%1.868992%1.9%523401.838611%1.838611%1.8%126411.809624%1.809624%1.8%446421.747742%1.747742%1.7%60431.302460%1.302460%1.3%171441.292765%1.292765%1.3%280451.251567%1.251567%1.3%549461.093181%1.093181%1.1%84471.016239%1.016239%1.0%97480.893036%0.893036%0.9%134490.000000%0.000000%0.0%00.000000%0.000000%0.0%00.000000%0.000000%0.0%00.000000%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#22

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 Butler, selected other county subdivisions in the Milwaukee Area, and entities that contain Butler
Female
Male
2x0x2x4xFM#CedarburgPewaukeeHartlandGreendaleDelafieldWaukeshaVernonMukwonagoFranklinGeneseeSummitRichfieldBrown DeerWauwatosaWaukeshaWhitefish BayWisconsinGermantownMuskegoPewaukeeMequonWaukeshaMertonMidwestEast North CentralMilwaukeeWest BendHartfordUnited StatesPort WashingtonMilwaukeeMenomonee FallsHamiltonJacksonOak CreekGlendaleGreenfieldBrookfieldNew BerlinHales CornersWest AllisS MilwaukeeCudahyBrookfieldMukwonagoSt. FrancisFox PointOconomowocOconomowocCedarburgSussexLisbonButlerTract 200600ButlerGraftonShorewoodSlingerElm GroveDelafield-1.000000x-1.000000x5.209549x5.209549x5.21x0.356%0.36%1.857%1.86%1-1.000000x-1.000000x2.458344x2.458344x2.46x0.905%0.91%2.225%2.23%2-1.000000x-1.000000x2.349083x2.349083x2.35x3.292%3.29%7.733%7.73%3-1.000000x-1.000000x2.150369x2.150369x2.15x2.213%2.21%4.758%4.76%4-1.000000x-1.000000x2.074982x2.074982x2.07x0.660%0.66%1.370%1.37%5-1.000000x-1.000000x1.893208x1.893208x1.89x3.038%3.04%5.751%5.75%6-1.000000x-1.000000x1.851903x1.851903x1.85x1.962%1.96%3.634%3.63%7-1.000000x-1.000000x1.731706x1.731706x1.73x2.029%2.03%3.514%3.51%8-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%9-1.000000x-1.000000x1.575758x1.575758x1.58x2.043%2.04%3.220%3.22%10-1.000000x-1.000000x1.574372x1.574372x1.57x3.027%3.03%4.765%4.76%11-1.000000x-1.000000x1.494002x1.494002x1.49x2.504%2.50%3.740%3.74%12-1.000000x-1.000000x1.321858x1.321858x1.32x5.408%5.41%7.148%7.15%13-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%14-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%15-1.000000x-1.000000x1.284172x1.284172x1.28x1.899%1.90%2.438%2.44%16-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%17-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%18-1.000000x-1.000000x1.154088x1.154088x1.15x2.980%2.98%3.439%3.44%19-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%20-1.000000x-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%-1.000000x-1.000000x1.136594x1.136594x1.14x1.818%1.82%2.066%2.07%21-1.000000x-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%22-1.000000x-1.000000x1.118245x1.118245x1.12x6.211%6.21%6.945%6.95%23-1.000000x-1.000000x1.109296x1.109296x1.11x6.741%6.74%7.478%7.48%24-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.103873x1.103873x1.10x4.145%4.14%4.575%4.58%25-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.077248x1.077248x1.08x4.329%4.33%4.663%4.66%26-1.000000x-1.000000x1.058727x1.058727x1.06x4.423%4.42%4.682%4.68%-1.000000x-1.000000x1.052843x1.052843x1.05x6.101%6.10%6.423%6.42%27-1.000000x-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%28-1.000000x-1.000000x1.046921x1.046921x1.05x4.505%4.51%4.717%4.72%29-1.000000x-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%30-1.000000x-1.000000x1.013079x1.013079x1.01x4.315%4.31%4.371%4.37%31-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%32-1.023703x-1.023703x1.02x1.000000x1.000000x5.476%5.48%5.349%5.35%33-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%34-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%35-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%36-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%37-1.139343x-1.139343x1.14x1.000000x1.000000x2.993%2.99%2.627%2.63%38-1.204832x-1.204832x1.20x1.000000x1.000000x12.389%12.4%10.283%10.3%39-1.271644x-1.271644x1.27x1.000000x1.000000x2.177%2.18%1.712%1.71%40-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%41-1.450249x-1.450249x1.45x1.000000x1.000000x4.124%4.12%2.843%2.84%42-1.451447x-1.451447x1.45x1.000000x1.000000x3.640%3.64%2.508%2.51%43-1.456932x-1.456932x1.46x1.000000x1.000000x4.308%4.31%2.957%2.96%44-1.479136x-1.479136x1.48x1.000000x1.000000x4.148%4.15%2.804%2.80%45-1.830658x-1.830658x1.83x1.000000x1.000000x9.065%9.07%4.952%4.95%-1.830658x-1.830658x1.83x1.000000x1.000000x9.065%9.07%4.952%4.95%-1.830658x-1.830658x1.83x1.000000x1.000000x9.065%9.07%4.952%4.95%-1.885780x-1.885780x1.89x1.000000x1.000000x4.513%4.51%2.393%2.39%46-1.992381x-1.992381x1.99x1.000000x1.000000x3.093%3.09%1.553%1.55%47-2.473494x-2.473494x2.47x1.000000x1.000000x9.270%9.27%3.748%3.75%48-2.511825x-2.511825x2.51x1.000000x1.000000x3.655%3.66%1.455%1.46%49-2.551624x-2.551624x2.55x1.000000x1.000000x3.951%3.95%1.548%1.55%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 Wisconsin

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

No H.S. Diploma by County Subdivision#23

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Butler, selected other county subdivisions in Wisconsin, and entities that contain Butler
0%5%10%15%Count#BeloitRacineMilwaukeeUnited States of AmericaUnited StatesGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshBeaver DamMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSouth MilwaukeeS MilwaukeeMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsButler200600Tract 200600ButlerCaledoniaWest BendSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekGermantownOnalaskaMadisonHamilton School DistrictHamiltonMenomonee FallsNew BerlinWaukesha CountyWaukeshaOconomowocSun PrairieDe PereMuskegoWauwatosaBrookfieldMiddletonMequon18.491431%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%1,115129.572772%9.572772%9.6%100,754101k9.190270%9.190270%9.2%1,379138.829004%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%889266.978367%6.978367%7.0%1006.978367%6.978367%7.0%1006.978367%6.978367%7.0%1006.746719%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%7,351404.550241%4.550241%4.6%8214.484909%4.484909%4.5%1,165414.236891%4.236891%4.2%1,267424.116150%4.116150%4.1%11,37011.4k3.988090%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%351492.107701%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#24

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Butler, selected other county subdivisions in Wisconsin, and entities that contain Butler
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocWaukesha CountyWaukeshaMenomonee FallsSun PrairieNew BerlinGermantownFranklinHamilton School DistrictHamiltonStevens PointDe PereWaukeshaOnalaskaMenomonieMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteOak CreekUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardEast North CentralWisconsinMarshfieldButler200600Tract 200600ButlerWest BendAshwaubenonWausauOshkoshGreen BayWest AllisFond 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%4,902741.623436%41.623436%41.6%114,976115k41.080228%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%9,8491237.493765%37.493765%37.5%6,76536.471240%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%2,6531733.810164%33.810164%33.8%355,854356k33.499762%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%7,7982630.315023%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%3,5033127.215632%27.215632%27.2%39027.215632%27.215632%27.2%39027.215632%27.215632%27.2%39027.212706%27.212706%27.2%5,8943226.525332%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%10,51910.5k3723.606692%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#25

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Butler, selected other county subdivisions in Wisconsin, and entities that contain Butler
0%2%4%6%8%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocWaukesha CountyWaukeshaNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeNeenahFranklinDe PereGermantownMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieBeaver DamWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaHamilton School DistrictHamiltonWaukeshaMilwaukeeGreenfieldOak CreekBeloitGreen BayKenoshaWisconsin RapidsJanesvilleOshkoshSuperiorFond du LacHowardCudahyWest BendWest AllisRacineManitowocSouth MilwaukeeS MilwaukeeSheboyganAshwaubenonButler200600Tract 200600Butler11.084724%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%468123.942743%3.942743%3.9%10,89110.9k3.762039%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%675153.286157%3.286157%3.3%34,58734.6k3.188724%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%298292.233553%2.233553%2.2%4032.192214%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%213371.555418%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%94500.000000%0.000000%0.0%00.000000%0.000000%0.0%00.000000%0.000000%0.0%0
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#26

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 Butler, selected other county subdivisions in Wisconsin, and entities that contain Butler
Female
Male
1x0x1x2xFM#De PereMenashaOshkoshFranklinCaledoniaManitowocGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorStevens PointAppletonWisconsinRacineGrand ChuteGermantownMadisonMuskegoKenoshaMequonWaukeshaMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsMilwaukeeMenomonee FallsBeloitBeaver DamLa CrosseHamiltonHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowocButlerTract 200600Butler-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-1.000000x1.380848x1.380848x1.38x6.493%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-1.000000x1.189278x1.189278x1.19x4.425%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-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%-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-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-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-1.000000x1.058727x1.058727x1.06x4.423%4.42%4.682%4.68%-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%43-1.068390x-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%50-1.830658x-1.830658x1.83x1.000000x1.000000x9.065%9.07%4.952%4.95%-1.830658x-1.830658x1.83x1.000000x1.000000x9.065%9.07%4.952%4.95%-1.830658x-1.830658x1.83x1.000000x1.000000x9.065%9.07%4.952%4.95%
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 Butler to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Butler. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#27

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Butler, selected other county subdivisions in the Midwest, and entities that contain Butler
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 FallsMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnButler200600Tract 200600ButlerWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonHamilton School DistrictHamiltonWaukesha CountyWaukeshaDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%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%9,123349.572772%9.572772%9.6%100,754101k8.637220%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%11,88611.9k396.978367%6.978367%7.0%1006.978367%6.978367%7.0%1006.978367%6.978367%7.0%1006.804680%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%7,351464.550241%4.550241%4.6%8214.116150%4.116150%4.1%11,37011.4k4.020265%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%2,05750
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#28

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Butler, selected other county subdivisions in the Midwest, and entities that contain Butler
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgWaukesha CountyWaukeshaKaw TownshipSt. PaulMaine TownshipMaineFargoHamilton School DistrictHamiltonLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralWisconsinSterling HeightsSterling HtsButler200600Tract 200600ButlerTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford 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%39,02039.0k1341.623436%41.623436%41.6%114,976115k41.581304%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%26,96527.0k1737.493765%37.493765%37.5%6,76537.146608%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%99,56199.6k2333.810164%33.810164%33.8%355,854356k33.783048%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%27,10227.1k2830.315023%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%25,60325.6k3127.215632%27.215632%27.2%39027.215632%27.215632%27.2%39027.215632%27.215632%27.2%39027.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%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#29

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Butler, selected other county subdivisions in the Midwest, and entities that contain Butler
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMaineWaukesha CountyWaukeshaPalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaHamilton School DistrictHamiltonProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonButler200600Tract 200600Butler17.877867%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%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.942743%3.942743%3.9%10,89110.9k3.487439%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%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k3.233245%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%6,260322.233553%2.233553%2.2%4032.213918%2.213918%2.2%2,281332.163955%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%3,018401.575684%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%971500.000000%0.000000%0.0%00.000000%0.000000%0.0%00.000000%0.000000%0.0%0
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#30

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 Butler, selected other county subdivisions in the Midwest, and entities that contain Butler
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoWisconsinThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWaukeshaWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheMilwaukeeWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaHamiltonColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaineButlerTract 200600Butler-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-1.000000x1.189752x1.189752x1.19x20.748%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-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%-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-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-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-1.000000x1.058727x1.058727x1.06x4.423%4.42%4.682%4.68%-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%44-1.073696x-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%50-1.830658x-1.830658x1.83x1.000000x1.000000x9.065%9.07%4.952%4.95%-1.830658x-1.830658x1.83x1.000000x1.000000x9.065%9.07%4.952%4.95%-1.830658x-1.830658x1.83x1.000000x1.000000x9.065%9.07%4.952%4.95%
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 Butler to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Butler. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#31

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Butler, selected other county subdivisions in the United States, and entities that contain Butler
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 HarrisWashingtonMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeAtlantaSeattleWisconsinNortheast TarrantNE TarrantButler200600Tract 200600ButlerPlanoSeattle EastHamilton School DistrictHamiltonWaukesha CountyWaukesha28.998944%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%46,51046.5k459.572772%9.572772%9.6%100,754101k9.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.637220%8.637220%8.6%336,096336k8.418271%8.418271%8.4%31,44331.4k486.978367%6.978367%7.0%1006.978367%6.978367%7.0%1006.978367%6.978367%7.0%1005.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k504.550241%4.550241%4.6%8214.116150%4.116150%4.1%11,37011.4k
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#32

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Butler, selected other county subdivisions in the United States, and entities that contain Butler
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteWaukesha CountyWaukeshaTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantHamilton School DistrictHamiltonNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-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 VlyButler200600Tract 200600ButlerOntarioPhiladelphiaMiamiFort WorthSouthwest 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%223,068223k1241.623436%41.623436%41.6%114,976115k38.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1537.493765%37.493765%37.5%6,76536.877886%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%597,685598k2033.810164%33.810164%33.8%355,854356k33.231104%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%184,237184k2631.198303%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%170,682171k3727.215632%27.215632%27.2%39027.215632%27.215632%27.2%39027.215632%27.215632%27.2%39026.758411%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%131,349131k4123.764821%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#33

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Butler, selected other county subdivisions in the United States, and entities that contain Butler
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiWaukesha CountyWaukeshaNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioHamilton School DistrictHamiltonFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitButler200600Tract 200600Butler12.461852%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%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.942743%3.942743%3.9%10,89110.9k3.827408%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%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k3.140490%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%9,688412.233553%2.233553%2.2%4032.173239%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%15,06415.1k491.318660%1.318660%1.3%5,693500.000000%0.000000%0.0%00.000000%0.000000%0.0%00.000000%0.000000%0.0%0
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#34

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 Butler, selected other county subdivisions in the United States, and entities that contain Butler
Female
Male
1x0x1xFM#1, CharlotteDetroitWisconsinBaltimoreTulsaSW DallasWaukeshaMidwestFresnoEast North CentralMilwaukeeUnited StatesMilwaukeeNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonHamiltonSacramentoColumbusSalt 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 EastSan JoseSan DiegoSan FranciscoEl PasoButlerTract 200600Butler-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-1.000000x1.179669x1.179669x1.18x15.289%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-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%-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-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-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-1.000000x1.058727x1.058727x1.06x4.423%4.42%4.682%4.68%-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%46-1.127548x-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%50-1.830658x-1.830658x1.83x1.000000x1.000000x9.065%9.07%4.952%4.95%-1.830658x-1.830658x1.83x1.000000x1.000000x9.065%9.07%4.952%4.95%-1.830658x-1.830658x1.83x1.000000x1.000000x9.065%9.07%4.952%4.95%
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.

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State:
Wisconsin
County:
Waukesha
Metro Area:
Milwaukee Area
Village:
Butler
ZIP Codes:
53007, 53051
Unified School District:
Hamilton
Neighborhood:
Timmerman West
Congressional District:
WI-5
State Senate District:
WI-8
Assembly District:
WI-22
Nearby Towns:
Brookfield