Educational Attainment in the Town of Leeds, Columbia County, Wisconsin (Town)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Columbia County and the Town of Leeds
Town of Leeds
Columbia County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma234.078212%35.099388%34.078212%34.1%18360.335196%57.674932%60.335196%60.3%3245.586592%7.225680%5.586592%5.6%30
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 Columbia County at large.
Scope: population of Columbia County and the Town of Leeds
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-2.909382%-2.909382%-2.9%34.078%34.1%35.099%35.1%4.612512%4.612512%+4.6%60.335%60.3%57.675%57.7%-22.684203%-22.684203%-22.7%5.587%5.59%7.226%7.23%
% percentage with given level in the Town of Leeds
ref. percentage with given level in Columbia 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 Columbia County and the Town of Leeds
Town of Leeds
Columbia County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.744879%0.614898%0.744879%0.7%41.862197%1.129405%1.862197%1.9%105.027933%4.670716%5.027933%5.0%2712.290503%16.260918%12.290503%12.3%6614.152700%12.423451%14.152700%14.2%7623.836127%22.630760%23.836127%23.8%12836.499069%35.044172%36.499069%36.5%1964.096834%5.017067%4.096834%4.1%220.000000%0.000000%0.0%1.551049%01.489758%0.657565%1.489758%1.5%8
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 Columbia County at large.
Scope: population of Columbia County and the Town of Leeds
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None21.138601%21.138601%+21.1%0.745%0.74%0.615%0.61%64.883095%64.883095%+64.9%1.862%1.86%1.129%1.13%7.648018%7.648018%+7.6%5.028%5.03%4.671%4.67%-24.416917%-24.416917%-24.4%12.291%12.3%16.261%16.3%13.919230%13.919230%+13.9%14.153%14.2%12.423%12.4%5.326231%5.326231%+5.3%23.836%23.8%22.631%22.6%4.151608%4.151608%+4.2%36.499%36.5%35.044%35.0%-18.342039%-18.342039%-18.3%4.097%4.10%5.017%5.02%-100.000000%-100.000000%-100.0%0.000%0%1.551%1.55%126.556925%126.556925%+126.6%1.490%1.49%0.658%0.66%
% percentage with given level in the Town of Leeds
ref. percentage with given level in Columbia 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 Columbia County and the Town of Leeds
More Females More Males
Columbia County
Town of Leeds
0%50%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-2.335929%-18.065586%-2.335929%2%34.483%34.5%33.696%33.7%-4.449616%-4.449616%4%6.953670%61.686%61.7%59.058%59.1%89.130435%31.205943%89.130435%89%3.831%3.83%7.246%7.25%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Columbia County and the Town of Leeds
More Females More Males
Columbia County
Town of Leeds
200%0%200%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3None-5.747126%-5.747126%6%59.501745%0.766%0.77%0.725%0.72%-58.620690%-58.620690%59%65.376868%2.299%2.30%1.449%1.45%-13.881521%-55.227654%-13.881521%14%5.364%5.36%4.710%4.71%-52.745849%-14.491402%-52.745849%53%14.943%14.9%9.783%9.78%-21.668545%53.260870%53.260870%53%11.111%11.1%17.029%17.0%-31.720105%-4.698237%-31.720105%32%27.203%27.2%20.652%20.7%11.376812%15.091175%11.376812%11%34.483%34.5%38.406%38.4%325.543478%54.454273%325.543478%326%1.533%1.53%6.522%6.52%-217.241379%-217.241379%217%22.828646%2.299%2.30%0.725%0.72%
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 Columbia County and the Town of Leeds
Town of Leeds
Columbia County
0%5%10%15%20%B.X.Total65+45-6435-4425-3410.465116%9.928073%10.465116%10.5%98610.580205%15.995029%10.580205%10.6%3129315.000000%22.042481%15.000000%15.0%128017.948718%19.489489%17.948718%17.9%1478
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 Columbia County at large.
Scope: population of Columbia County and the Town of Leeds
30%20%10%0%%ref.65+45-6435-4425-345.409338%5.409338%5.4%10.465%10.5%9.928%9.93%-33.853170%-33.853170%33.9%10.580%10.6%15.995%16.0%-31.949585%-31.949585%31.9%15.000%15.0%22.042%22.0%-7.905654%-7.905654%7.9%17.949%17.9%19.489%19.5%
% percentage in the Town of Leeds with a Bachelor's degree
ref percentage in Columbia 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 Columbia County and the Town of Leeds
More Females More Males
Columbia County
Town of Leeds
100%50%0%FM65+45-6435-4425-34-37.195122%-37.195122%37.2%36.796553%12.195%12.2%8.889%8.89%-32.704082%-17.530604%-32.704082%32.7%12.143%12.1%9.150%9.15%-121.052632%-28.294861%-121.052632%121.1%21.053%21.1%9.524%9.52%-54.285714%-46.844659%-54.285714%54.3%21.429%21.4%13.889%13.9%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Columbia County and the Town of Leeds
Town of Leeds
Columbia County
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$55,625.000000$55,660.000000$55,625.000000$55.6k417.635%7.64%$58,750.000000$48,853.000000$58,750.000000$58.8k6612.291%12.3%$43,438.000000$39,230.000000$43,438.000000$43.4k20437.989%38.0%$43,125.000000$33,646.000000$43,125.000000$43.1k19636.499%36.5%$24,792.000000$25,256.000000$24,792.000000$24.8k305.587%5.59%$45,169.000000$39,087.000000$45,169.000000$45.2k537100.000%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 Columbia County and the Town of Leeds
Female Male
Columbia County
Town of Leeds
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-51,250.000000$-52,280.000000$-51,250.000000$51.3k$51,250.000000$9,000.000000$52,280.000000$7,819.000000$60,250.000000$60.3k2219$-39,375.000000$-42,255.000000$-39,375.000000$39.4k$39,375.000000$40,208.000000$42,255.000000$17,941.000000$79,583.000000$79.6k3927$-36,000.000000$-31,134.000000$-36,000.000000$36.0k$36,000.000000$10,103.000000$31,134.000000$17,310.000000$46,103.000000$46.1k100104$-35,625.000000$-26,348.000000$-35,625.000000$35.6k$35,625.000000$10,625.000000$26,348.000000$13,968.000000$46,250.000000$46.3k90106$-37,813.000000$-31,460.000000$-37,813.000000$37.8k$37,813.000000$9,330.000000$31,460.000000$14,196.000000$47,143.000000$47.1k261276
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Columbia County and the Town of Leeds
Town of Leeds
Columbia County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma393.333333%86.709453%93.333333%93.3%8488.481675%81.170900%88.481675%88.5%16986.301370%75.950143%86.301370%86.3%12654.166667%62.486002%54.166667%54.2%13
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Columbia County and the Town of Leeds
Female Male
Columbia County
Town of Leeds
Shaded bar tips show excess over facing bar.
100%80%60%40%20%0%MFWhite1Asian-1.568627%-5.631796%-1.568627%1.6%1.568627%5.784314%5.631796%1.336219%7.352941%7.4%204-0.000000%-100.000000%-0.000000%-21.495327%-100.000000%100.0%0.000000%0.000000%0.000000%0.0%06
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Columbia County and the Town of Leeds
Female Male
Columbia County
Town of Leeds
Shaded bar tips show excess over facing bar.
40%20%0%20%MFWhite1Asian-16.911765%-7.009804%-21.977267%-2.745630%-23.921569%23.9%16.911765%21.977267%16.911765%16.9%4661-0.000000%-37.864078%-11.668633%0.000000%0.0%0.000000%0.000000%37.864078%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the Town of Leeds

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

Percentage of the population 25 years and older with given highest level of educational attainment
31.8%34.6%37.3%40.0%42.7%45.4%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
52.0%53.9%55.7%57.4%59.2%61.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.5%3.5%4.5%5.5%6.5%7.6%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.14%0.38%0.62%0.87%1.11%1.35%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.83%1.06%1.29%1.51%1.74%1.97%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.2%3.8%4.3%4.8%5.4%5.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
12.4%14.2%16.0%17.8%19.5%21.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
11.8%12.5%13.1%13.7%14.3%15.0%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
20.48%20.98%21.46%21.95%22.44%22.93%

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

Percentage of the population 25 years and older with given highest level of educational attainment
29.1%31.0%32.8%34.7%36.5%38.4%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
1.9%2.7%3.5%4.3%5.1%5.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.35%0.49%0.63%0.77%0.91%1.05%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.05%0.24%0.42%0.60%0.78%0.96%
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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 the Town of Leeds to the 50 most populous county subdivisions in the Madison Area and to those entities that contain or substantially overlap with the Town of Leeds. The least populous of the compared county subdivisions has a population of 1,919.

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Leeds, selected other county subdivisions in the Madison Area, and entities that contain the Town of Leeds
0%5%10%15%20%Count#Town of MadisonMadisonUnited States of AmericaUnited StatesWisconsin DellsMarshallTown of Sun PrairieSun PrairieBrodheadEast North CentralMidwestMonroePortageFitchburgWisconsinCottage GroveStoughtonNew GlarusColumbia CountyColumbiaLodiTown of PacificPacificDodgevilleTown of LeedsMineral PointTown of LodiTown of BurkePardeevilleMadison Metro AreaMadison AreaTown of SpringfieldSpringfieldWindsorCross PlainsPoynetteColumbusMadisonTown 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%108117.225680%7.225680%7.2%2,8796.294780%6.294780%6.3%123126.119545%6.119545%6.1%129135.627837%5.627837%5.6%186145.586592%5.586592%5.6%305.455537%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%235204.962406%4.962406%5.0%132214.961607%4.961607%5.0%84224.879466%4.879466%4.9%168234.836248%4.836248%4.8%7,351244.741684%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#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Leeds, selected other county subdivisions in the Madison Area, and entities that contain the Town of Leeds
0%20%40%60%80%Count#Shorewood HillsShorewood HlsTown of MiddletonMiddletonVeronaMiddletonMadisonWaunakeeMononaTown of BristolBristolFitchburgTown of WestportWestportMcFarlandTown of OregonOregonTown of SpringdaleSpringdaleWindsorMount HorebOregonMadison Metro AreaMadison AreaCottage GroveSun PrairieTown of SpringfieldSpringfieldTown of Pleasant SpringsPleasant SpgsCross PlainsTown of BurkeTown of DunnTown of RutlandRutlandTown 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 PacificPacificColumbia CountyColumbiaPoynetteTown of AlbionAlbionMonroeDodgevilleTown of LeedsWisconsin 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%4,232648.847310%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%2,0501444.128980%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%5372435.597283%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%5104122.675936%22.675936%22.7%9,03522.209096%22.209096%22.2%3764221.939137%21.939137%21.9%3104321.489161%21.489161%21.5%1,5964421.422088%21.422088%21.4%7084519.925512%19.925512%19.9%10718.364997%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#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Leeds, selected other county subdivisions in the Madison Area, and entities that contain the Town of Leeds
0%10%20%30%40%Count#Shorewood HillsShorewood HlsTown of MiddletonMiddletonMiddletonMadisonTown of WestportWestportVeronaFitchburgTown of OregonOregonMadison Metro AreaMadison AreaTown of SpringfieldSpringfieldTown of SpringdaleSpringdaleWaunakeeMononaCottage GroveTown of RutlandRutlandOregonWindsorTown of LodiTown of DunnTown of BristolBristolTown of West PointW PtUnited States of AmericaUnited StatesSun PrairieColumbusTown of MadisonMadisonTown of BurkeMidwestMineral PointEast North CentralWisconsinTown of LeedsMcFarlandTown of Pleasant SpringsPleasant SpgsTown of Sun PrairieSun PrairieWisconsin DellsBellevilleTown of ExeterExeterMonroeTown of DekorraDekorraTown of DunkirkDunkirkMount HorebDeForestColumbia CountyColumbiaTown 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%1,34075.991561%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%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%132232.915335%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%105,215105k2.607076%2.607076%2.6%142.565436%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%112361.744303%1.744303%1.7%6951.707780%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#31

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Leeds, selected other county subdivisions in the Madison Area, and entities that contain the Town of Leeds
Female
Male
0x5x10xFM#Town of DunnBristolCottage GrvTown of BurkeSpringdaleExeterDeForestBellevilleW PtRutlandOregonTown of LodiDodgevilleTown of LeedsMarshallPortageSun PrairieDunkirkDeerfieldCottage GroveMonroeAlbionColumbiaWisconsin DellsMount HorebMadison AreaColumbusWisconsinMiddletonMadisonSpringfieldMidwestMononaEast North CentralUnited StatesWindsorOregonPacificMiddletonFitchburgSun 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-1.000000x1.891304x1.891304x1.89x3.831%3.83%7.246%7.25%-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-1.000000x1.347347x1.347347x1.35x4.012%4.01%5.405%5.41%21-1.000000x-1.000000x1.312059x1.312059x1.31x6.240%6.24%8.187%8.19%-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-1.000000x1.186266x1.186266x1.19x4.634%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%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#32

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Leeds, selected other county subdivisions in the Madison Area, and entities that contain the Town of Leeds
Female
Male
10x5x0x5x10xFM#PortageBellevillePleasant SpgsColumbusSpringdaleW PtWaunakeeExeterWindsorStoughtonMineral PointCottage GrvShorewood HlsDeForestRutlandFitchburgSun PrairieMcFarlandColumbiaEast North CentralMidwestWisconsinUnited StatesAlbionCottage GroveMount HorebLodiMonroeMiddletonMiddletonSpringfieldMadison AreaMadisonCross PlainsNew GlarusTown of DunnWestportMononaTown of LodiSun PrairieOregonPoynetteOregonDodgevilleWisconsin DellsTown of BurkeTown of LeedsBristolVeronaDunkirkMadisonDekorraPacificMarshallBrodheadDeerfieldPardeeville-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%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-1.000000x1.632754x1.632754x1.63x1.321%1.32%2.157%2.16%-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-1.000000x1.400349x1.400349x1.40x4.993%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%40-1.409962x-1.409962x1.41x1.000000x1.000000x3.065%3.07%2.174%2.17%-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 the Town of Leeds to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with the Town of Leeds. The least populous of the compared county subdivisions has a population of 16,289.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Leeds, selected other county subdivisions in Wisconsin, and entities that contain the Town of Leeds
0%5%10%15%Count#BeloitRacineMilwaukeeUnited States of AmericaUnited StatesGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshBeaver DamSouth MilwaukeeS MilwaukeeMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinColumbia CountyColumbiaWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaWest BendSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekTown of LeedsMadison Metro AreaMadison AreaGermantownOnalaskaMadisonMenomonee 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%1,924227.225680%7.225680%7.2%2,8797.158983%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%1,421375.586592%5.586592%5.6%305.241862%5.241862%5.2%21,97222.0k5.227570%5.227570%5.2%719384.888290%4.888290%4.9%617394.836248%4.836248%4.8%7,351404.484909%4.484909%4.5%1,165414.236891%4.236891%4.2%1,267423.988090%3.988090%4.0%442433.955766%3.955766%4.0%812443.911088%3.911088%3.9%600453.554446%3.554446%3.6%598463.390471%3.390471%3.4%1,167472.806979%2.806979%2.8%761482.731305%2.731305%2.7%351492.107701%2.107701%2.1%35550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Leeds, selected other county subdivisions in Wisconsin, and entities that contain the Town of Leeds
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocMadison Metro AreaMadison AreaMenomonee FallsSun PrairieNew BerlinGermantownFranklinStevens PointDe PereWaukeshaOnalaskaMenomonieMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteOak CreekUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardEast North CentralWisconsinMarshfieldWest BendAshwaubenonWausauOshkoshGreen BayWest AllisFond du LacMilwaukeeKenoshaColumbia CountyColumbiaSuperiorJanesvilleCudahyManitowocSouth MilwaukeeS MilwaukeeTown of LeedsSheboyganBeaver DamRacineBeloitWisconsin Rapids63.254765%63.254765%63.3%10,65410.7k158.898140%58.898140%58.9%7,569258.155142%58.155142%58.2%20,01720.0k358.053926%58.053926%58.1%15,73915.7k456.337583%56.337583%56.3%85,63285.6k546.358754%46.358754%46.4%8,632644.229902%44.229902%44.2%4,902743.867317%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%9,8491236.471240%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%14,61114.6k4022.675936%22.675936%22.7%9,03522.415597%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%3,0794519.925512%19.925512%19.9%10719.530103%19.530103%19.5%6,3844618.623951%18.623951%18.6%2,0874717.525031%17.525031%17.5%8,5244816.605719%16.605719%16.6%3,7694915.880441%15.880441%15.9%2,00350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Leeds, selected other county subdivisions in Wisconsin, and entities that contain the Town of Leeds
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMadison Metro AreaMadison AreaMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieNeenahFranklinDe PereGermantownMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieTown of LeedsBeaver DamWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWaukeshaMilwaukeeGreenfieldOak CreekBeloitGreen BayKenoshaColumbia CountyColumbiaWisconsin 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%1,34065.974750%5.974750%6.0%25,04425.0k5.867120%5.867120%5.9%72574.993377%4.993377%5.0%37784.777583%4.777583%4.8%1,39394.679172%4.679172%4.7%676104.547615%4.547615%4.5%574114.222683%4.222683%4.2%468123.762039%3.762039%3.8%1,125133.336158%3.336158%3.3%7,127,6737.13M3.295350%3.295350%3.3%856143.288352%3.288352%3.3%675153.188724%3.188724%3.2%552163.100626%3.100626%3.1%807173.083241%3.083241%3.1%473182.995492%2.995492%3.0%412192.893416%2.893416%2.9%1,311,0191.31M2.869921%2.869921%2.9%1,123202.855432%2.855432%2.9%896,039896k2.794937%2.794937%2.8%1,113212.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450222.637058%2.637058%2.6%380232.607076%2.607076%2.6%142.552204%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%1,123361.744303%1.744303%1.7%6951.688734%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#36

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Leeds, selected other county subdivisions in Wisconsin, and entities that contain the Town of Leeds
Female
Male
1x0x1x2xFM#De PereTown of LeedsMenashaOshkoshFranklinCaledoniaManitowocGreen BayPleasant PrairieColumbiaWauwatosaWaukeshaJanesvilleMt PleasantSuperiorMadison AreaStevens PointAppletonWisconsinRacineGrand ChuteGermantownMadisonMuskegoKenoshaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsMenomonee 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-1.000000x1.891304x1.891304x1.89x3.831%3.83%7.246%7.25%-1.000000x-1.000000x1.888774x1.888774x1.89x4.337%4.34%8.192%8.19%2-1.000000x-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.534399x1.534399x1.53x5.333%5.33%8.182%8.18%5-1.000000x-1.000000x1.432549x1.432549x1.43x9.294%9.29%13.313%13.3%6-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%7-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.312059x1.312059x1.31x6.240%6.24%8.187%8.19%-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-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%20-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%21-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%22-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%23-1.000000x-1.000000x1.118245x1.118245x1.12x6.211%6.21%6.945%6.95%24-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%25-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.104897x1.104897x1.10x5.834%5.83%6.446%6.45%26-1.000000x-1.000000x1.104741x1.104741x1.10x6.724%6.72%7.428%7.43%27-1.000000x-1.000000x1.077248x1.077248x1.08x4.329%4.33%4.663%4.66%28-1.000000x-1.000000x1.069954x1.069954x1.07x17.920%17.9%19.173%19.2%29-1.000000x-1.000000x1.063348x1.063348x1.06x9.653%9.65%10.265%10.3%30-1.000000x-1.000000x1.059381x1.059381x1.06x6.918%6.92%7.329%7.33%31-1.000000x-1.000000x1.056613x1.056613x1.06x5.903%5.90%6.237%6.24%32-1.000000x-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%33-1.000000x-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%34-1.000000x-1.000000x1.022109x1.022109x1.02x2.704%2.70%2.764%2.76%35-1.000000x-1.000000x1.018058x1.018058x1.02x8.641%8.64%8.797%8.80%36-1.000000x-1.000000x1.015610x1.015610x1.02x8.765%8.76%8.902%8.90%37-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%38-1.000000x-1.000000x1.004509x1.004509x1.00x11.618%11.6%11.670%11.7%39-1.001253x-1.001253x1.00x1.000000x1.000000x5.867%5.87%5.859%5.86%40-1.016031x-1.016031x1.02x1.000000x1.000000x8.734%8.73%8.596%8.60%41-1.022158x-1.022158x1.02x1.000000x1.000000x3.997%4.00%3.910%3.91%42-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%43-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%44-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%45-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%46-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%47-1.237978x-1.237978x1.24x1.000000x1.000000x6.794%6.79%5.488%5.49%48-1.368790x-1.368790x1.37x1.000000x1.000000x9.414%9.41%6.877%6.88%49-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#37

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Leeds, selected other county subdivisions in Wisconsin, and entities that contain the Town of Leeds
Female
Male
1x0x1x2x3xFM#NeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauFitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinWest AllisWauwatosaColumbiaWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocFranklinLa CrosseS MilwaukeeMiddletonMadison AreaMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaOconomowocWisconsin RapidsMenashaGreenfieldOak CreekTown of LeedsAshwaubenon-1.000000x-1.000000x3.129204x3.129204x3.13x1.585%1.59%4.960%4.96%1-1.000000x-1.000000x2.927208x2.927208x2.93x1.353%1.35%3.961%3.96%2-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%3-1.000000x-1.000000x2.628013x2.628013x2.63x2.819%2.82%7.408%7.41%4-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%5-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%6-1.000000x-1.000000x2.492011x2.492011x2.49x0.802%0.80%1.999%2.00%7-1.000000x-1.000000x2.351130x2.351130x2.35x3.588%3.59%8.437%8.44%8-1.000000x-1.000000x2.345235x2.345235x2.35x6.743%6.74%15.813%15.8%9-1.000000x-1.000000x2.320788x2.320788x2.32x0.952%0.95%2.209%2.21%10-1.000000x-1.000000x2.236989x2.236989x2.24x0.541%0.54%1.209%1.21%11-1.000000x-1.000000x2.147202x2.147202x2.15x0.747%0.75%1.604%1.60%12-1.000000x-1.000000x2.134058x2.134058x2.13x1.646%1.65%3.514%3.51%13-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%14-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%15-1.000000x-1.000000x2.005610x2.005610x2.01x1.223%1.22%2.453%2.45%16-1.000000x-1.000000x1.994529x1.994529x1.99x3.154%3.15%6.290%6.29%17-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%18-1.000000x-1.000000x1.808864x1.808864x1.81x5.081%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-1.000000x1.632754x1.632754x1.63x1.321%1.32%2.157%2.16%-1.000000x-1.000000x1.632200x1.632200x1.63x0.991%0.99%1.617%1.62%28-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557391x1.557391x1.56x1.833%1.83%2.855%2.85%29-1.000000x-1.000000x1.550147x1.550147x1.55x1.851%1.85%2.870%2.87%30-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.516809x1.516809x1.52x1.222%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-1.000000x1.400349x1.400349x1.40x4.993%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%49-1.409962x-1.409962x1.41x1.000000x1.000000x3.065%3.07%2.174%2.17%-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Leeds, selected other county subdivisions in the Midwest, and entities that contain the Town of Leeds
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 TownshipSchaumburgColumbia CountyColumbiaLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsTown of LeedsYork TownshipMilton TownshipMiltonMadison Metro AreaMadison AreaMadisonDowners 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%7,226387.225680%7.225680%7.2%2,8797.092309%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%5,099435.586592%5.586592%5.6%305.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126455.241862%5.241862%5.2%21,97222.0k4.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
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#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Leeds, selected other county subdivisions in the Midwest, and entities that contain the Town of Leeds
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingMadison Metro AreaMadison AreaSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralWisconsinSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeColumbia CountyColumbiaRockford TownshipRockfordAkronCenter TownshipCtrTown of LeedsNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1243.867317%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%62,25462.3k1836.577273%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%85,81285.8k3622.675936%22.675936%22.7%9,03521.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.925512%19.925512%19.9%10719.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Leeds, selected other county subdivisions in the Midwest, and entities that contain the Town of Leeds
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipMadison Metro AreaMadison AreaOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinTown of LeedsCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandColumbia CountyColumbiaToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.974750%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%4,544114.880448%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%2,472252.911721%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%105,215105k2.607076%2.607076%2.6%142.602914%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%4,911391.744303%1.744303%1.7%6951.642065%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#41

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Leeds, selected other county subdivisions in the Midwest, and entities that contain the Town of Leeds
Female
Male
1x0x1xFM#Town of LeedsColumbiaCedar RapidsLincolnDetroitMadison AreaOmahaToledoWisconsinThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.891304x1.891304x1.89x3.831%3.83%7.246%7.25%-1.000000x-1.000000x1.312059x1.312059x1.31x6.240%6.24%8.187%8.19%-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-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#42

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Leeds, selected other county subdivisions in the Midwest, and entities that contain the Town of Leeds
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaColumbiaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadison AreaMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoTown of LeedsThornton-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%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-1.000000x1.632754x1.632754x1.63x1.321%1.32%2.157%2.16%-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%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-1.000000x1.400349x1.400349x1.40x4.993%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%49-1.409962x-1.409962x1.41x1.000000x1.000000x3.065%3.07%2.174%2.17%-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Leeds, selected other county subdivisions in the United States, and entities that contain the Town of Leeds
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 TarrantColumbia CountyColumbiaPlanoTown of LeedsMadison Metro AreaMadison AreaSeattle East28.998944%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%31,44331.4k487.225680%7.225680%7.2%2,8795.714681%5.714681%5.7%20,64420.6k495.586592%5.586592%5.6%305.241862%5.241862%5.2%21,97222.0k4.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Leeds, selected other county subdivisions in the United States, and entities that contain the Town of Leeds
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinMadison Metro AreaMadison AreaTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest 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 DallasMilwaukeeColumbia CountyColumbiaFresnoLas VegasEl PasoTown of LeedsBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1143.867317%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%143,978144k1536.877886%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%85,81285.8k4322.675936%22.675936%22.7%9,03522.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.925512%19.925512%19.9%10719.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#45

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Leeds, selected other county subdivisions in the United States, and entities that contain the Town of Leeds
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastMadison Metro AreaMadison AreaDenverSan DiegoAustinBaltimoreLos 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-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisNortheast TarrantNE TarrantTown of LeedsEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoColumbia CountyColumbiaSouthwest 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%32,61132.6k46.889819%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%20,82420.8k124.659072%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%11,33911.3k332.893416%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%9,827392.607076%2.607076%2.6%142.484535%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%5,975471.744303%1.744303%1.7%6951.704476%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#46

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Leeds, selected other county subdivisions in the United States, and entities that contain the Town of Leeds
Female
Male
1x0x1xFM#Town of LeedsColumbia1, CharlotteDetroitMadison AreaWisconsinBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.891304x1.891304x1.89x3.831%3.83%7.246%7.25%-1.000000x-1.000000x1.312059x1.312059x1.31x6.240%6.24%8.187%8.19%-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-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#47

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Leeds, selected other county subdivisions in the United States, and entities that contain the Town of Leeds
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixColumbiaTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMadison AreaMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitTown of Leeds-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%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-1.000000x1.632754x1.632754x1.63x1.321%1.32%2.157%2.16%-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%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-1.000000x1.400349x1.400349x1.40x4.993%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%50-1.409962x-1.409962x1.41x1.000000x1.000000x3.065%3.07%2.174%2.17%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

Educational attainment is reported in terms of the highest level of education obtained by persons aged 25 years and older. On this page, we report on both detailed and coarse categorizations of the levels of education in the population. The detailed levels of educational attainment are as follows:

  • None: no formal education at all
  • Less than High School: some education, but stopped short of high school
  • Some High School: some high school education, but no high school diploma (or equivalent)
  • Some College: high school diploma (or equivalent), and some college, but no post-secondary degree
  • Associate's Degree: highest post-secondary degree is an associate's degree (including occupational or academic degrees)
  • Bachelor's Degree: highest post-secondary degree is a bachelor's degree (e.g., BA, BS, AB)
  • Master's Degree: highest post-secondary degree is a master's degree (e.g., MA, MS, MENG, MSW)
  • Professional Degree: highest post-secondary degree is a professional degree (e.g., MD, DDC, JD)
  • Doctorate Degree: highest post-secondary degree is a doctorate degree (e.g., PhD, EdD)

The coarse levels of educational attainment are as follows:

  • No High School Diploma: does not have a high school diploma or equivalent
  • High School Diploma: has a high school diploma or equivalent and possibly some college, but no post-secondary degrees
  • Higher Degree: has some post-secondary degree (associate's, bachelor's, master's, professional, doctorate)

For additional information about the data presented on this site, including our sources, please see the About Page.

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Demographics

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More Maps to Explore

State:
Wisconsin
County:
Columbia
Metro Area:
Madison Area
ZIP Codes:
53532, 53911, 53955, 53960
Unified School Districts:
DeForest, Poynette, Rio
Congressional District:
WI-6
State Senate District:
WI-14
Assembly District:
WI-42
Neighboring Towns:
Arlington, Hampden, Lowville, Otsego, Vienna
Neighboring Villages:
Arlington, Windsor
Nearby Towns:
Bristol, Burke, Columbus, Dekorra