Educational Attainment in Windsor, Dane County, Wisconsin (Village)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Dane County and Windsor
Windsor
Dane County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma255.865198%58.938553%55.865198%55.9%2,58639.058112%36.314979%39.058112%39.1%1,8085.076690%4.746468%5.076690%5.1%235
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 Dane County at large.
Scope: population of Dane County and Windsor
-5%0%+5%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-5.214508%-5.214508%-5.2%55.865%55.9%58.939%58.9%7.553724%7.553724%+7.6%39.058%39.1%36.315%36.3%6.957222%6.957222%+7.0%5.077%5.08%4.746%4.75%
% percentage with given level in Windsor
ref. percentage with given level in Dane 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 Dane County and Windsor
Windsor
Dane County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None3.413264%3.594361%3.413264%3.4%1581.490603%3.384482%1.490603%1.5%699.397278%12.802016%9.397278%9.4%43529.984878%29.245297%29.984878%30.0%1,38811.579175%9.912397%11.579175%11.6%53617.779218%17.959336%17.779218%17.8%82321.278894%18.355642%21.278894%21.3%9852.268308%2.825498%2.268308%2.3%1050.799309%1.265804%0.799309%0.8%372.009073%0.655166%2.009073%2.0%93
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 Dane County at large.
Scope: population of Dane County and Windsor
-200%0%+200%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-5.038355%-5.038355%-5.0%3.413%3.41%3.594%3.59%-55.957730%-55.957730%-56.0%1.491%1.49%3.384%3.38%-26.595328%-26.595328%-26.6%9.397%9.40%12.802%12.8%2.528888%2.528888%+2.5%29.985%30.0%29.245%29.2%16.815082%16.815082%+16.8%11.579%11.6%9.912%9.91%-1.002923%-1.002923%-1.0%17.779%17.8%17.959%18.0%15.925630%15.925630%+15.9%21.279%21.3%18.356%18.4%-19.720039%-19.720039%-19.7%2.268%2.27%2.825%2.83%-36.853675%-36.853675%-36.9%0.799%0.80%1.266%1.27%206.650847%206.650847%+206.7%2.009%2.01%0.655%0.66%
% percentage with given level in Windsor
ref. percentage with given level in Dane 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 Dane County and Windsor
More Females More Males
Dane County
Windsor
0%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-7.312065%-2.727725%-7.312065%7%57.833%57.8%53.893%53.9%9.495547%2.147446%9.495547%9%37.290%37.3%40.830%40.8%8.198089%18.715526%8.198089%8%4.877%4.88%5.277%5.28%
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 Dane County and Windsor
More Females More Males
Dane County
Windsor
400%200%0%200%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None72.786660%50.224562%72.786660%73%2.503%2.50%4.325%4.33%260.778547%30.803806%260.778547%261%0.647%0.65%2.336%2.34%-20.935667%38.002723%38.002723%38%7.898%7.90%10.900%10.9%-0.862384%10.541575%10.541575%11%28.485%28.5%31.488%31.5%-277.754485%-13.694312%-277.754485%278%18.300%18.3%4.844%4.84%-3.116713%13.457272%13.457272%13%16.659%16.7%18.901%18.9%6.296329%7.469199%6.296329%6%20.630%20.6%21.929%21.9%257.292764%22.056123%257.292764%257%0.993%0.99%3.547%3.55%-415.551719%-415.551719%416%21.331643%1.338%1.34%0.260%0.26%-73.154942%-73.154942%73%1.044564%2.546%2.55%1.471%1.47%
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 Dane County and Windsor
Windsor
Dane County
0%10%20%30%40%B.X.Total65+45-6435-4425-3421.823472%20.791389%21.823472%21.8%2251,03130.200222%26.598515%30.200222%30.2%5431,79825.624321%31.161136%25.624321%25.6%23692143.686007%38.293249%43.686007%43.7%384879
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 Dane County at large.
Scope: population of Dane County and Windsor
15%10%5%0%5%10%%ref.65+45-6435-4425-344.963994%4.963994%5.0%21.823%21.8%20.791%20.8%13.541008%13.541008%13.5%30.200%30.2%26.599%26.6%-17.768333%-17.768333%17.8%25.624%25.6%31.161%31.2%14.082790%14.082790%14.1%43.686%43.7%38.293%38.3%
% percentage in Windsor with a Bachelor's degree
ref percentage in Dane 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 Dane County and Windsor
More Females More Males
Dane County
Windsor
10%0%10%20%FM65+45-6435-4425-34-17.373461%-17.373461%17.4%4.024210%23.256%23.3%19.814%19.8%27.014493%1.975730%27.014493%27.0%26.498%26.5%33.656%33.7%-4.577430%29.755637%29.755637%29.8%21.914%21.9%28.435%28.4%-6.920810%-9.934954%-6.920810%6.9%45.111%45.1%42.191%42.2%
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 Dane County and Windsor
Windsor
Dane County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$76,250.000000$62,031.000000$76,250.000000$76.3k66214.301%14.3%$57,275.000000$50,597.000000$57,275.000000$57.3k1,38829.985%30.0%$43,958.000000$35,796.000000$43,958.000000$44.0k1,35929.358%29.4%$41,667.000000$31,103.000000$41,667.000000$41.7k98521.279%21.3%$30,197.000000$20,331.000000$30,197.000000$30.2k2355.077%5.08%$50,582.000000$42,039.000000$50,582.000000$50.6k4,629100.000%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 Dane County and Windsor
Female Male
Dane County
Windsor
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-75,938.000000$-6,741.000000$-54,545.000000$-82,679.000000$82.7k$75,938.000000$54,545.000000$18,777.000000$75,938.000000$75.9k256406$-41,080.000000$-42,380.000000$-41,080.000000$41.1k$41,080.000000$32,798.000000$42,380.000000$17,818.000000$73,878.000000$73.9k660728$-40,708.000000$-32,055.000000$-40,708.000000$40.7k$40,708.000000$13,667.000000$32,055.000000$8,174.000000$54,375.000000$54.4k810549$-30,571.000000$-27,678.000000$-30,571.000000$30.6k$30,571.000000$25,262.000000$27,678.000000$7,005.000000$55,833.000000$55.8k478507$-40,458.000000$-37,234.000000$-40,458.000000$40.5k$40,458.000000$20,298.000000$37,234.000000$10,537.000000$60,756.000000$60.8k2,3172,312
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Dane County and Windsor
Windsor
Dane County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%53.233831%0100.000000%46.766169%100.000000%100.0%80.000000%0.000000%0.000000%0.0%00.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Dane County and Windsor
Windsor
Dane County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma384.924925%87.237368%84.924925%84.9%1,41477.338476%80.387262%77.338476%77.3%80282.556591%76.854310%82.556591%82.6%62054.482759%64.453569%54.482759%54.5%79
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Dane County and Windsor
Female Male
Dane County
Windsor
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1Asian-2.813067%-2.348655%-2.813067%2.8%2.813067%1.270460%2.348655%0.767773%4.083527%4.1%8862-45.132743%-11.933333%-1.018176%-45.132743%45.1%45.132743%13.487946%11.933333%58.620690%58.6%3451
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Dane County and Windsor
Female Male
Dane County
Windsor
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%60%MFWhite1Asian-40.834846%-50.652517%-40.834846%40.8%40.834846%10.673275%50.652517%0.057650%51.508121%51.5%1,110900-14.159292%-64.547254%-14.159292%14.2%14.159292%27.220018%64.547254%3.919413%41.379310%41.4%2416
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 Windsor

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

Percentage of the population 25 years and older with given highest level of educational attainment
44.3%48.2%52.1%55.9%59.8%63.7%

Coarse: High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
34.3%37.3%40.3%43.3%46.3%49.3%

Coarse: No High School Diploma Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
1.9%2.9%3.7%4.6%5.5%6.4%

Detailed: Doctorate Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
1.11%1.32%1.53%1.73%1.93%2.14%

Detailed: Professional Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.80%0.99%1.17%1.35%1.53%1.72%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.58%8.08%8.58%9.07%9.57%10.07%

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

Percentage of the population 25 years and older with given highest level of educational attainment
20.7%23.4%26.2%28.9%31.6%34.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
11.8%12.8%13.7%14.6%15.6%16.5%

Detailed: Some College Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
18.3%20.0%21.6%23.3%24.9%26.7%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
16.0%18.1%20.2%22.3%24.4%26.6%

Detailed: Some High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
1.69%2.19%2.68%3.17%3.66%4.16%

Detailed: Less than High School Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.33%0.67%1.00%1.34%1.68%

Detailed: None Educational Attainment by Tract#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.41%0.82%1.23%1.64%2.05%
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Educational Attainment by County Subdivision in the Madison Area

There are 149 county subdivisions in the Madison Area. This section compares Windsor to the 50 most populous county subdivisions in the Madison Area and to those entities that contain or substantially overlap with Windsor. The least populous of the compared county subdivisions has a population of 1,919.

No H.S. Diploma by County Subdivision#29

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Windsor, selected other county subdivisions in the Madison Area, and entities that contain Windsor
0%5%10%15%20%Count#Town of MadisonMadisonUnited States of AmericaUnited StatesWisconsin DellsMarshallTown of Sun PrairieSun PrairieBrodheadEast North CentralMidwestMonroePortageFitchburgWisconsinCottage GroveStoughtonNew GlarusLodiTown of PacificPacificDodgevilleMineral PointTown of LodiTown of BurkePardeevilleMadison Metro AreaMadison AreaTown of SpringfieldSpringfieldWindsorWindsorCross PlainsPoynetteColumbusMadisonDeForest Area School DistrictDeForestDane CountyDaneTown of AlbionAlbionTown of DunkirkDunkirkSun PrairieTown of Pleasant SpringsPleasant SpgsTown of SpringdaleSpringdaleTown of BristolBristolTown of ExeterExeterMononaTown of RutlandRutlandTown of DekorraDekorraDeForestDeerfieldTown of West PointW PtTown of MiddletonMiddletonMount HorebMiddletonTown of Cottage GroveCottage GrvBellevilleMcFarlandVeronaTown of WestportWestportTown of DunnOregonTown of OregonOregonWaunakeeShorewood HillsShorewood Hls20.556309%20.556309%20.6%909113.020590%13.020590%13.0%27,818,38027.8M12.838227%12.838227%12.8%223212.413230%12.413230%12.4%304311.393939%11.393939%11.4%188411.343561%11.343561%11.3%244510.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M9.425071%9.425071%9.4%70069.011461%9.011461%9.0%62978.662728%8.662728%8.7%1,61388.637220%8.637220%8.6%336,096336k8.020883%8.020883%8.0%33897.267179%7.267179%7.3%643107.262946%7.262946%7.3%108116.294780%6.294780%6.3%123126.119545%6.119545%6.1%129135.627837%5.627837%5.6%186145.455537%5.455537%5.5%100155.433480%5.433480%5.4%136165.311502%5.311502%5.3%133175.263158%5.263158%5.3%79185.241862%5.241862%5.2%21,97222.0k5.083909%5.083909%5.1%103195.076690%5.076690%5.1%2355.076690%5.076690%5.1%235204.962406%4.962406%5.0%132214.961607%4.961607%5.0%84224.879466%4.879466%4.9%168234.836248%4.836248%4.8%7,351244.752713%4.752713%4.8%7144.746468%4.746468%4.7%15,98916.0k4.741684%4.741684%4.7%67254.350417%4.350417%4.4%73263.955766%3.955766%4.0%812273.873094%3.873094%3.9%94283.871829%3.871829%3.9%58293.553099%3.553099%3.6%90303.418231%3.418231%3.4%51313.407952%3.407952%3.4%204323.379310%3.379310%3.4%49333.335218%3.335218%3.3%59343.207877%3.207877%3.2%202352.925046%2.925046%2.9%48362.822581%2.822581%2.8%42372.821242%2.821242%2.8%119382.778341%2.778341%2.8%137392.731305%2.731305%2.7%351402.503526%2.503526%2.5%71412.431373%2.431373%2.4%31422.149419%2.149419%2.1%124431.932367%1.932367%1.9%152441.882210%1.882210%1.9%62451.875617%1.875617%1.9%76461.639866%1.639866%1.6%103471.308017%1.308017%1.3%31481.194743%1.194743%1.2%100490.813609%0.813609%0.8%1150
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#30

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Windsor, selected other county subdivisions in the Madison Area, and entities that contain Windsor
0%20%40%60%80%Count#Shorewood HillsShorewood HlsTown of MiddletonMiddletonVeronaMiddletonMadisonWaunakeeDane CountyDaneMononaTown of BristolBristolFitchburgTown of WestportWestportMcFarlandTown of OregonOregonTown of SpringdaleSpringdaleWindsorWindsorMount HorebOregonMadison Metro AreaMadison AreaCottage GroveSun PrairieTown of SpringfieldSpringfieldTown of Pleasant SpringsPleasant SpgsCross PlainsTown of BurkeTown of DunnTown of RutlandRutlandDeForest Area School DistrictDeForestTown of LodiTown of West PointW PtDeForestStoughtonDeerfieldColumbusLodiTown of ExeterExeterTown of Cottage GroveCottage GrvUnited States of AmericaUnited StatesMidwestNew GlarusTown of MadisonMadisonEast North CentralWisconsinMineral PointTown of DunkirkDunkirkBellevilleTown of Sun PrairieSun PrairieTown of DekorraDekorraTown of PacificPacificPoynetteTown of AlbionAlbionMonroeDodgevilleWisconsin DellsPardeevillePortageBrodheadMarshall84.467456%84.467456%84.5%1,142165.670934%65.670934%65.7%2,770259.661836%59.661836%59.7%4,693358.898140%58.898140%58.9%7,569456.337583%56.337583%56.3%85,63285.6k550.561529%50.561529%50.6%4,232649.026156%49.026156%49.0%165,150165k48.847310%48.847310%48.8%2,924746.821950%46.821950%46.8%1,186846.358754%46.358754%46.4%8,632946.114147%46.114147%46.1%1,5191045.969839%45.969839%46.0%2,6521145.907173%45.907173%45.9%1,0881244.459279%44.459279%44.5%6661344.286023%44.286023%44.3%2,05044.286023%44.286023%44.3%2,0501444.128980%44.128980%44.1%2,1761543.942047%43.942047%43.9%2,7601643.867317%43.867317%43.9%183,876184k42.240152%42.240152%42.2%1,7801741.077605%41.077605%41.1%8,4321839.486673%39.486673%39.5%8001938.895756%38.895756%38.9%9442038.233083%38.233083%38.2%1,0172137.300319%37.300319%37.3%9342237.290227%37.290227%37.3%1,5112337.034483%37.034483%37.0%5372436.989949%36.989949%37.0%5,55735.597283%35.597283%35.6%8912535.483871%35.483871%35.5%5282634.937272%34.937272%34.9%2,2002734.900542%34.900542%34.9%3,0882833.759902%33.759902%33.8%5542933.488237%33.488237%33.5%1,1533033.009212%33.009212%33.0%6453132.908847%32.908847%32.9%4913232.263752%32.263752%32.3%9153330.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.917283%28.917283%28.9%4303428.742650%28.742650%28.7%1,2713528.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.314239%28.314239%28.3%5193626.877235%26.877235%26.9%4513725.725490%25.725490%25.7%3283825.393939%25.393939%25.4%4193924.477106%24.477106%24.5%4334024.193548%24.193548%24.2%5104122.209096%22.209096%22.2%3764221.939137%21.939137%21.9%3104321.489161%21.489161%21.5%1,5964421.422088%21.422088%21.4%7084518.364997%18.364997%18.4%3194616.588941%16.588941%16.6%2494715.587393%15.587393%15.6%1,0884812.691771%12.691771%12.7%2734912.576562%12.576562%12.6%30850
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#31

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Windsor, selected other county subdivisions in the Madison Area, and entities that contain Windsor
0%10%20%30%40%Count#Shorewood HillsShorewood HlsTown of MiddletonMiddletonMiddletonMadisonTown of WestportWestportVeronaFitchburgDane CountyDaneTown of OregonOregonMadison Metro AreaMadison AreaTown of SpringfieldSpringfieldTown of SpringdaleSpringdaleWaunakeeMononaCottage GroveTown of RutlandRutlandOregonWindsorWindsorTown of LodiTown of DunnTown of BristolBristolTown of West PointW PtUnited States of AmericaUnited StatesSun PrairieColumbusTown of MadisonMadisonDeForest Area School DistrictDeForestTown of BurkeMidwestMineral PointEast North CentralWisconsinMcFarlandTown of Pleasant SpringsPleasant SpgsTown of Sun PrairieSun PrairieWisconsin DellsBellevilleTown of ExeterExeterMonroeTown of DekorraDekorraTown of DunkirkDunkirkMount HorebDeForestTown of PacificPacificTown of AlbionAlbionStoughtonLodiCross PlainsNew GlarusPardeevilleTown of Cottage GroveCottage GrvDodgevillePortageDeerfieldBrodheadPoynetteMarshall43.713018%43.713018%43.7%591115.576102%15.576102%15.6%657210.022566%10.022566%10.0%1,28839.171173%9.171173%9.2%13,94013.9k47.802064%7.802064%7.8%25757.653191%7.653191%7.7%60267.196563%7.196563%7.2%1,34076.978843%6.978843%7.0%23,50923.5k5.991561%5.991561%6.0%14285.974750%5.974750%6.0%25,04425.0k5.923001%5.923001%5.9%12095.674232%5.674232%5.7%85105.651135%5.651135%5.7%473115.646509%5.646509%5.6%338125.220693%5.220693%5.2%220135.034483%5.034483%5.0%73145.015125%5.015125%5.0%315154.903867%4.903867%4.9%2274.903867%4.903867%4.9%227164.394726%4.394726%4.4%110174.244817%4.244817%4.2%172183.829451%3.829451%3.8%97193.629032%3.629032%3.6%54203.336158%3.336158%3.3%7,127,6737.13M3.288352%3.288352%3.3%675213.194888%3.194888%3.2%110222.985075%2.985075%3.0%132232.975438%2.975438%3.0%4472.915335%2.915335%2.9%73242.893416%2.893416%2.9%1,311,0191.31M2.891435%2.891435%2.9%53252.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.565436%2.565436%2.6%148262.472188%2.472188%2.5%60272.363636%2.363636%2.4%39282.360391%2.360391%2.4%41292.352941%2.352941%2.4%30302.345845%2.345845%2.3%35312.262017%2.262017%2.3%168322.035048%2.035048%2.0%36331.966627%1.966627%2.0%33341.845467%1.845467%1.8%91351.778625%1.778625%1.8%112361.707780%1.707780%1.7%36371.698514%1.698514%1.7%24381.627486%1.627486%1.6%144391.586489%1.586489%1.6%31401.503759%1.503759%1.5%40411.412239%1.412239%1.4%21421.399067%1.399067%1.4%21431.198872%1.198872%1.2%34441.180030%1.180030%1.2%39451.117479%1.117479%1.1%78460.853138%0.853138%0.9%14470.697350%0.697350%0.7%15480.649734%0.649734%0.6%11490.571662%0.571662%0.6%1450
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#32

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 Windsor, selected other county subdivisions in the Madison Area, and entities that contain Windsor
Female
Male
0x5x10xFM#Town of DunnBristolCottage GrvTown of BurkeSpringdaleExeterDeForestBellevilleW PtRutlandOregonTown of LodiDodgevilleMarshallPortageSun PrairieDunkirkDeerfieldCottage GroveMonroeDeForestAlbionWisconsin DellsMount HorebMadison AreaColumbusWisconsinMiddletonMadisonDaneSpringfieldMidwestMononaEast North CentralUnited StatesWindsorWindsorOregonPacificMiddletonFitchburgSun PrairieMadisonShorewood HlsBrodheadStoughtonMineral PointCross PlainsNew GlarusPoynetteVeronaPardeevilleDekorraMcFarlandPleasant SpgsWaunakeeWestportLodi-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.628%3.63%1-1.000000x-1.000000x6.273080x6.273080x6.27x0.965%0.96%6.051%6.05%2-1.000000x-1.000000x5.779362x5.779362x5.78x0.754%0.75%4.357%4.36%3-1.000000x-1.000000x5.126702x5.126702x5.13x1.743%1.74%8.937%8.94%4-1.000000x-1.000000x3.762346x3.762346x3.76x1.617%1.62%6.085%6.08%5-1.000000x-1.000000x3.742564x3.742564x3.74x1.404%1.40%5.256%5.26%6-1.000000x-1.000000x3.734169x3.734169x3.73x1.394%1.39%5.205%5.21%7-1.000000x-1.000000x3.203980x3.203980x3.20x1.190%1.19%3.814%3.81%8-1.000000x-1.000000x2.388305x2.388305x2.39x1.651%1.65%3.942%3.94%9-1.000000x-1.000000x2.139053x2.139053x2.14x2.131%2.13%4.558%4.56%10-1.000000x-1.000000x2.128547x2.128547x2.13x0.838%0.84%1.784%1.78%11-1.000000x-1.000000x1.957041x1.957041x1.96x3.656%3.66%7.154%7.15%12-1.000000x-1.000000x1.952903x1.952903x1.95x3.886%3.89%7.588%7.59%13-1.000000x-1.000000x1.738772x1.738772x1.74x9.134%9.13%15.882%15.9%14-1.000000x-1.000000x1.691613x1.691613x1.69x6.604%6.60%11.172%11.2%15-1.000000x-1.000000x1.536810x1.536810x1.54x8.981%8.98%13.801%13.8%16-1.000000x-1.000000x1.517754x1.517754x1.52x3.436%3.44%5.214%5.21%17-1.000000x-1.000000x1.476903x1.476903x1.48x2.354%2.35%3.477%3.48%18-1.000000x-1.000000x1.469266x1.469266x1.47x6.528%6.53%9.591%9.59%19-1.000000x-1.000000x1.446456x1.446456x1.45x7.842%7.84%11.343%11.3%20-1.000000x-1.000000x1.438480x1.438480x1.44x3.919%3.92%5.637%5.64%-1.000000x-1.000000x1.347347x1.347347x1.35x4.012%4.01%5.405%5.41%21-1.000000x-1.000000x1.297273x1.297273x1.30x11.163%11.2%14.481%14.5%22-1.000000x-1.000000x1.259621x1.259621x1.26x2.461%2.46%3.100%3.10%23-1.000000x-1.000000x1.231258x1.231258x1.23x4.707%4.71%5.796%5.80%-1.000000x-1.000000x1.222166x1.222166x1.22x4.404%4.40%5.383%5.38%24-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.211415x1.211415x1.21x2.544%2.54%3.082%3.08%25-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%26-1.000000x-1.000000x1.187155x1.187155x1.19x4.348%4.35%5.162%5.16%-1.000000x-1.000000x1.186266x1.186266x1.19x4.634%4.63%5.498%5.50%27-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127054x1.127054x1.13x3.218%3.22%3.627%3.63%28-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.081981x1.081981x1.08x4.877%4.88%5.277%5.28%-1.000000x-1.000000x1.081981x1.081981x1.08x4.877%4.88%5.277%5.28%29-1.000000x-1.000000x1.043916x1.043916x1.04x1.608%1.61%1.678%1.68%30-1.000000x-1.000000x1.030500x1.030500x1.03x6.030%6.03%6.214%6.21%31-1.000000x-1.000000x1.022109x1.022109x1.02x2.704%2.70%2.764%2.76%32-1.016031x-1.016031x1.02x1.000000x1.000000x8.734%8.73%8.596%8.60%33-1.022158x-1.022158x1.02x1.000000x1.000000x3.997%4.00%3.910%3.91%34-1.035246x-1.035246x1.04x1.000000x1.000000x20.945%20.9%20.232%20.2%35-1.047091x-1.047091x1.05x1.000000x1.000000x0.831%0.83%0.794%0.79%36-1.170222x-1.170222x1.17x1.000000x1.000000x12.206%12.2%10.431%10.4%37-1.208941x-1.208941x1.21x1.000000x1.000000x7.876%7.88%6.515%6.52%38-1.219979x-1.219979x1.22x1.000000x1.000000x5.948%5.95%4.875%4.88%39-1.288288x-1.288288x1.29x1.000000x1.000000x5.548%5.55%4.306%4.31%40-1.380712x-1.380712x1.38x1.000000x1.000000x8.313%8.31%6.021%6.02%41-1.455067x-1.455067x1.46x1.000000x1.000000x5.849%5.85%4.019%4.02%42-1.531489x-1.531489x1.53x1.000000x1.000000x2.297%2.30%1.500%1.50%43-1.538249x-1.538249x1.54x1.000000x1.000000x6.339%6.34%4.121%4.12%44-1.634942x-1.634942x1.63x1.000000x1.000000x4.197%4.20%2.567%2.57%45-1.748323x-1.748323x1.75x1.000000x1.000000x2.720%2.72%1.556%1.56%46-2.297687x-2.297687x2.30x1.000000x1.000000x5.370%5.37%2.337%2.34%47-2.740398x-2.740398x2.74x1.000000x1.000000x1.694%1.69%0.618%0.62%48-3.660958x-3.660958x3.66x1.000000x1.000000x2.932%2.93%0.801%0.80%49-4.809368x-4.809368x4.81x1.000000x1.000000x9.804%9.80%2.039%2.04%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#33

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 Windsor, selected other county subdivisions in the Madison Area, and entities that contain Windsor
Female
Male
10x5x0x5x10xFM#PortageBellevillePleasant SpgsColumbusSpringdaleW PtWaunakeeExeterWindsorWindsorStoughtonMineral PointCottage GrvShorewood HlsDeForestRutlandFitchburgSun PrairieMcFarlandDeForestEast North CentralMidwestWisconsinUnited StatesAlbionCottage GroveMount HorebLodiMonroeMiddletonMiddletonSpringfieldDaneMadison AreaMadisonCross PlainsNew GlarusTown of DunnWestportMononaTown of LodiSun PrairieOregonPoynetteOregonDodgevilleWisconsin DellsTown of BurkeBristolVeronaDunkirkMadisonDekorraPacificMarshallBrodheadDeerfieldPardeeville-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.120%2.12%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.975%4.98%2-1.000000x-1.000000x6.668197x6.668197x6.67x0.651%0.65%4.341%4.34%3-1.000000x-1.000000x5.794505x5.794505x5.79x0.960%0.96%5.562%5.56%4-1.000000x-1.000000x3.653292x3.653292x3.65x2.426%2.43%8.862%8.86%5-1.000000x-1.000000x3.343627x3.343627x3.34x1.651%1.65%5.519%5.52%6-1.000000x-1.000000x2.325820x2.325820x2.33x3.499%3.50%8.138%8.14%7-1.000000x-1.000000x2.282051x2.282051x2.28x1.404%1.40%3.205%3.21%8-1.000000x-1.000000x2.114151x2.114151x2.11x3.151%3.15%6.661%6.66%-1.000000x-1.000000x2.114151x2.114151x2.11x3.151%3.15%6.661%6.66%9-1.000000x-1.000000x2.057239x2.057239x2.06x1.105%1.10%2.273%2.27%10-1.000000x-1.000000x1.946254x1.946254x1.95x2.016%2.02%3.924%3.92%11-1.000000x-1.000000x1.942508x1.942508x1.94x0.822%0.82%1.598%1.60%12-1.000000x-1.000000x1.864212x1.864212x1.86x31.163%31.2%58.095%58.1%13-1.000000x-1.000000x1.835169x1.835169x1.84x1.273%1.27%2.336%2.34%14-1.000000x-1.000000x1.811903x1.811903x1.81x3.551%3.55%6.434%6.43%15-1.000000x-1.000000x1.808864x1.808864x1.81x5.081%5.08%9.190%9.19%16-1.000000x-1.000000x1.806537x1.806537x1.81x2.381%2.38%4.302%4.30%17-1.000000x-1.000000x1.708502x1.708502x1.71x1.904%1.90%3.253%3.25%18-1.000000x-1.000000x1.602644x1.602644x1.60x2.302%2.30%3.689%3.69%-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-1.000000x1.515766x1.515766x1.52x1.337%1.34%2.027%2.03%19-1.000000x-1.000000x1.490739x1.490739x1.49x4.213%4.21%6.280%6.28%20-1.000000x-1.000000x1.475530x1.475530x1.48x1.493%1.49%2.202%2.20%21-1.000000x-1.000000x1.472820x1.472820x1.47x1.307%1.31%1.925%1.93%22-1.000000x-1.000000x1.466038x1.466038x1.47x1.868%1.87%2.739%2.74%23-1.000000x-1.000000x1.463350x1.463350x1.46x12.573%12.6%18.399%18.4%24-1.000000x-1.000000x1.452651x1.452651x1.45x8.299%8.30%12.055%12.1%25-1.000000x-1.000000x1.429525x1.429525x1.43x4.840%4.84%6.919%6.92%26-1.000000x-1.000000x1.404212x1.404212x1.40x5.827%5.83%8.182%8.18%-1.000000x-1.000000x1.400349x1.400349x1.40x4.993%4.99%6.992%6.99%-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%27-1.000000x-1.000000x1.370370x1.370370x1.37x1.280%1.28%1.754%1.75%28-1.000000x-1.000000x1.301909x1.301909x1.30x1.241%1.24%1.615%1.62%29-1.000000x-1.000000x1.297401x1.297401x1.30x3.679%3.68%4.773%4.77%30-1.000000x-1.000000x1.193961x1.193961x1.19x7.121%7.12%8.503%8.50%31-1.000000x-1.000000x1.163055x1.163055x1.16x5.248%5.25%6.104%6.10%32-1.000000x-1.000000x1.079433x1.079433x1.08x4.224%4.22%4.560%4.56%33-1.000000x-1.000000x1.050083x1.050083x1.05x2.306%2.31%2.421%2.42%34-1.043782x-1.043782x1.04x1.000000x1.000000x6.119%6.12%5.862%5.86%35-1.129817x-1.129817x1.13x1.000000x1.000000x0.688%0.69%0.609%0.61%36-1.205414x-1.205414x1.21x1.000000x1.000000x5.437%5.44%4.510%4.51%37-1.277321x-1.277321x1.28x1.000000x1.000000x1.314%1.31%1.029%1.03%38-1.303036x-1.303036x1.30x1.000000x1.000000x2.674%2.67%2.052%2.05%39-1.333367x-1.333367x1.33x1.000000x1.000000x3.328%3.33%2.496%2.50%40-1.415262x-1.415262x1.42x1.000000x1.000000x4.502%4.50%3.181%3.18%41-1.734884x-1.734884x1.73x1.000000x1.000000x9.494%9.49%5.472%5.47%42-1.853067x-1.853067x1.85x1.000000x1.000000x2.577%2.58%1.390%1.39%43-2.320000x-2.320000x2.32x1.000000x1.000000x4.328%4.33%1.866%1.87%44-3.363309x-3.363309x3.36x1.000000x1.000000x3.237%3.24%0.963%0.96%45-4.777365x-4.777365x4.78x1.000000x1.000000x2.783%2.78%0.583%0.58%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.112%1.11%0.000%0%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.356%1.36%0.000%0%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.735%1.73%0.000%0%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.717%2.72%0.000%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

Educational Attainment by County Subdivision in Wisconsin

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

No H.S. Diploma by County Subdivision#34

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Windsor, selected other county subdivisions in Wisconsin, and entities that contain Windsor
0%5%10%15%Count#BeloitRacineMilwaukeeUnited States of AmericaUnited StatesGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshBeaver DamSouth MilwaukeeS MilwaukeeMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaWest BendSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekMadison Metro AreaMadison AreaGermantownWindsorWindsorOnalaskaMadisonDeForest Area School DistrictDeForestDane CountyDaneMenomonee FallsNew BerlinOconomowocSun 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%1,115129.190270%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%889266.746719%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%1,421375.241862%5.241862%5.2%21,97222.0k5.227570%5.227570%5.2%719385.076690%5.076690%5.1%2355.076690%5.076690%5.1%2354.888290%4.888290%4.9%617394.836248%4.836248%4.8%7,351404.752713%4.752713%4.8%7144.746468%4.746468%4.7%15,98916.0k4.484909%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%351492.107701%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#35

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Windsor, selected other county subdivisions in Wisconsin, and entities that contain Windsor
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonDane CountyDaneFitchburgWindsorWindsorOconomowocMadison Metro AreaMadison AreaMenomonee FallsSun PrairieNew BerlinGermantownFranklinDeForest Area School DistrictDeForestStevens PointDe PereWaukeshaOnalaskaMenomonieMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteOak CreekUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardEast North CentralWisconsinMarshfieldWest 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%85,63285.6k549.026156%49.026156%49.0%165,150165k46.358754%46.358754%46.4%8,632644.286023%44.286023%44.3%2,05044.286023%44.286023%44.3%2,05044.229902%44.229902%44.2%4,902743.867317%43.867317%43.9%183,876184k41.080228%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%9,8491236.989949%36.989949%37.0%5,55736.471240%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%7,7982630.315023%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%3,5033127.212706%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#36

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Windsor, selected other county subdivisions in Wisconsin, and entities that contain Windsor
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgDane CountyDaneMadison Metro AreaMadison AreaMarshfieldMenomonieWindsorWindsorLa CrosseStevens PointOnalaskaOconomowocNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieNeenahFranklinDe PereGermantownDeForest Area School DistrictDeForestMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieBeaver DamWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWaukeshaMilwaukeeGreenfieldOak CreekBeloitGreen BayKenoshaWisconsin RapidsJanesvilleOshkoshSuperiorFond 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%1,34066.978843%6.978843%7.0%23,50923.5k5.974750%5.974750%6.0%25,04425.0k5.867120%5.867120%5.9%72574.993377%4.993377%5.0%37784.903867%4.903867%4.9%2274.903867%4.903867%4.9%2274.777583%4.777583%4.8%1,39394.679172%4.679172%4.7%676104.547615%4.547615%4.5%574114.222683%4.222683%4.2%468123.762039%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%412192.975438%2.975438%3.0%4472.893416%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%298292.192214%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%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#37

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 Windsor, selected other county subdivisions in Wisconsin, and entities that contain Windsor
Female
Male
1x0x1x2xFM#De PereMenashaOshkoshFranklinCaledoniaDeForestManitowocGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorMadison AreaStevens PointAppletonWisconsinRacineGrand ChuteGermantownMadisonDaneMuskegoKenoshaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsWindsorWindsorMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisS 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-1.000000x1.438480x1.438480x1.44x3.919%3.92%5.637%5.64%-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-1.000000x1.231258x1.231258x1.23x4.707%4.71%5.796%5.80%-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-1.000000x1.187155x1.187155x1.19x4.348%4.35%5.162%5.16%-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-1.000000x1.081981x1.081981x1.08x4.877%4.88%5.277%5.28%-1.000000x-1.000000x1.081981x1.081981x1.08x4.877%4.88%5.277%5.28%-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%43-1.068390x-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#38

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 Windsor, selected other county subdivisions in Wisconsin, and entities that contain Windsor
Female
Male
1x0x1x2x3xFM#NeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamWindsorWindsorBrookfieldGreen BayBeloitStevens PointWausauFitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinWest AllisWauwatosaWest BendDeForestEast North CentralMidwestWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocFranklinLa CrosseS MilwaukeeMiddletonDaneMadison AreaMenomonee 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-1.000000x2.114151x2.114151x2.11x3.151%3.15%6.661%6.66%-1.000000x-1.000000x2.114151x2.114151x2.11x3.151%3.15%6.661%6.66%-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-1.000000x1.808864x1.808864x1.81x5.081%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-1.000000x1.602644x1.602644x1.60x2.302%2.30%3.689%3.69%-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-1.000000x1.516809x1.516809x1.52x1.222%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-1.000000x1.404212x1.404212x1.40x5.827%5.83%8.182%8.18%-1.000000x-1.000000x1.400349x1.400349x1.40x4.993%4.99%6.992%6.99%-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 Windsor to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Windsor. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#39

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Windsor, selected other county subdivisions in the Midwest, and entities that contain Windsor
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 FallsWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadison Metro AreaMadison AreaWindsorWindsorMadisonDeForest Area School DistrictDeForestDane CountyDaneDowners 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%9,123348.637220%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%11,88611.9k396.804680%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%4,126455.241862%5.241862%5.2%21,97222.0k5.076690%5.076690%5.1%2355.076690%5.076690%5.1%2354.836248%4.836248%4.8%7,351464.752713%4.752713%4.8%7144.746468%4.746468%4.7%15,98916.0k4.020265%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#40

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Windsor, selected other county subdivisions in the Midwest, and entities that contain Windsor
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipDane CountyDaneMinneapolisOlatheWheeling TownshipWheelingWindsorWindsorMadison Metro AreaMadison AreaSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnDeForest Area School DistrictDeForestLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralWisconsinSterling HeightsSterling HtsTopekaSpringfield 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%42,93542.9k949.026156%49.026156%49.0%165,150165k47.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1244.286023%44.286023%44.3%2,05044.286023%44.286023%44.3%2,05043.867317%43.867317%43.9%183,876184k41.792515%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%62,25462.3k1836.989949%36.989949%37.0%5,55736.577273%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%27,10227.1k2830.315023%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%25,60325.6k3127.007248%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#41

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Windsor, selected other county subdivisions in the Midwest, and entities that contain Windsor
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonDane CountyDaneMinneapolisYork TownshipMadison Metro AreaMadison AreaOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonWindsorWindsorSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceDeForest Area School DistrictDeForestSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth 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%6,87546.978843%6.978843%7.0%23,50923.5k6.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.974750%5.974750%6.0%25,04425.0k5.940071%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%4,544114.903867%4.903867%4.9%2274.903867%4.903867%4.9%2274.880448%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%3,970193.487439%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%2,472252.975438%2.975438%3.0%4472.911721%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%2,281332.163955%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%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#42

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 Windsor, selected other county subdivisions in the Midwest, and entities that contain Windsor
Female
Male
1x0x1xFM#DeForestCedar RapidsLincolnDetroitMadison AreaOmahaToledoWisconsinThorntonKansas CityMadisonDaneLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWindsorWindsorWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.438480x1.438480x1.44x3.919%3.92%5.637%5.64%-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-1.000000x1.231258x1.231258x1.23x4.707%4.71%5.796%5.80%-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-1.000000x1.187155x1.187155x1.19x4.348%4.35%5.162%5.16%-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-1.000000x1.081981x1.081981x1.08x4.877%4.88%5.277%5.28%-1.000000x-1.000000x1.081981x1.081981x1.08x4.877%4.88%5.277%5.28%-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%44-1.073696x-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#43

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 Windsor, selected other county subdivisions in the Midwest, and entities that contain Windsor
Female
Male
1x0x1x2xFM#RockfordWindsorWindsorNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonDeForestEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusDaneMadison AreaMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.114151x2.114151x2.11x3.151%3.15%6.661%6.66%-1.000000x-1.000000x2.114151x2.114151x2.11x3.151%3.15%6.661%6.66%-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-1.000000x1.879271x1.879271x1.88x2.206%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-1.000000x1.602644x1.602644x1.60x2.302%2.30%3.689%3.69%-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-1.000000x1.481288x1.481288x1.48x2.641%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-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.404212x1.404212x1.40x5.827%5.83%8.182%8.18%-1.000000x-1.000000x1.400349x1.400349x1.40x4.993%4.99%6.992%6.99%-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 Windsor to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Windsor. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#44

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Windsor, selected other county subdivisions in the United States, and entities that contain Windsor
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 HarrisWashingtonAtlantaSeattleWisconsinNortheast TarrantNE TarrantPlanoMadison Metro AreaMadison AreaWindsorWindsorSeattle EastDeForest Area School DistrictDeForestDane CountyDane28.998944%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%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.637220%8.637220%8.6%336,096336k8.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k495.241862%5.241862%5.2%21,97222.0k5.076690%5.076690%5.1%2355.076690%5.076690%5.1%2354.913852%4.913852%4.9%20,32620.3k504.752713%4.752713%4.8%7144.746468%4.746468%4.7%15,98916.0k
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#45

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Windsor, selected other county subdivisions in the United States, and entities that contain Windsor
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleDane CountyDaneBostonDenverAustinWindsorWindsorMadison Metro AreaMadison AreaTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantDeForest Area School DistrictDeForestNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan 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 VlyOntarioPhiladelphiaMiamiFort 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%372,018372k849.026156%49.026156%49.0%165,150165k46.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1144.286023%44.286023%44.3%2,05044.286023%44.286023%44.3%2,05043.867317%43.867317%43.9%183,876184k41.989192%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%143,978144k1536.989949%36.989949%37.0%5,55736.877886%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%184,237184k2631.198303%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%170,682171k3726.758411%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#46

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Windsor, selected other county subdivisions in the United States, and entities that contain Windsor
0%5%10%Count#WashingtonManhattanSan FranciscoBostonDane CountyDaneAtlantaSeattleSan JoseSeattle EastMadison Metro AreaMadison AreaDenverSan DiegoAustinBaltimoreWindsorWindsorLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodDeForest Area School DistrictDeForestMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%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%32,61132.6k46.978843%6.978843%7.0%23,50923.5k6.889819%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%24,96825.0k85.974750%5.974750%6.0%25,04425.0k5.725842%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%20,82420.8k124.903867%4.903867%4.9%2274.903867%4.903867%4.9%2274.659072%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%27,61827.6k203.827408%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%11,33911.3k332.975438%2.975438%3.0%4472.893416%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%9,688412.173239%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%5,69350
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#47

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 Windsor, selected other county subdivisions in the United States, and entities that contain Windsor
Female
Male
1x0x1xFM#DeForest1, CharlotteDetroitMadison AreaWisconsinDaneBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioWindsorWindsorSan 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 EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.438480x1.438480x1.44x3.919%3.92%5.637%5.64%-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-1.000000x1.231258x1.231258x1.23x4.707%4.71%5.796%5.80%-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.187155x1.187155x1.19x4.348%4.35%5.162%5.16%-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-1.000000x1.081981x1.081981x1.08x4.877%4.88%5.277%5.28%-1.000000x-1.000000x1.081981x1.081981x1.08x4.877%4.88%5.277%5.28%-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%46-1.127548x-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#48

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 Windsor, selected other county subdivisions in the United States, and entities that contain Windsor
Female
Male
1x0x1x2xFM#El PasoWindsorWindsorSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteDeForestEast North CentralMidwestNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusDaneMadison AreaMiamiAtlantaMilwaukeeAnaheim-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-1.000000x2.114151x2.114151x2.11x3.151%3.15%6.661%6.66%-1.000000x-1.000000x2.114151x2.114151x2.11x3.151%3.15%6.661%6.66%-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-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-1.000000x1.602644x1.602644x1.60x2.302%2.30%3.689%3.69%-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-1.000000x1.514156x1.514156x1.51x4.979%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-1.000000x1.451775x1.451775x1.45x2.041%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-1.000000x1.404212x1.404212x1.40x5.827%5.83%8.182%8.18%-1.000000x-1.000000x1.400349x1.400349x1.40x4.993%4.99%6.992%6.99%-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:
Dane
Metro Area:
Madison Area
Village:
Windsor
ZIP Codes:
53532, 53571, 53590, 53598
Unified School District:
DeForest
Congressional District:
WI-2
State Senate Districts:
WI-13, WI-14, WI-27
Assembly Districts:
WI-37, WI-42, WI-79
Neighboring Towns:
Bristol, Burke, Hampden, Leeds, Vienna, Westport
Nearby Towns:
Arlington, Columbus, Lowville, Sun Prairie, York