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

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Dane County and Dane
Dane
Dane County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma239.545455%58.938553%39.545455%39.5%26150.909091%36.314979%50.909091%50.9%3369.545455%4.746468%9.545455%9.5%63
Count number of people in category
1Post-Secondary Degree 2H.S. = High School

Relative Educational Attainment#2

Highest level of education among people aged 25 years and older, as percentage more or less than Dane County at large.
Scope: population of Dane County and Dane
-100%0%+100%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-32.903927%-32.903927%-32.9%39.545%39.5%58.939%58.9%40.187583%40.187583%+40.2%50.909%50.9%36.315%36.3%101.106471%101.106471%+101.1%9.545%9.55%4.746%4.75%
% percentage with given level in Dane
ref. percentage with given level in Dane County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Dane County and Dane
Dane
Dane County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.303030%3.594361%0.303030%0.3%20.303030%3.384482%0.303030%0.3%22.424242%12.802016%2.424242%2.4%1621.060606%29.245297%21.060606%21.1%13915.454545%9.912397%15.454545%15.5%10223.333333%17.959336%23.333333%23.3%15427.575758%18.355642%27.575758%27.6%1827.121212%2.825498%7.121212%7.1%471.666667%1.265804%1.666667%1.7%110.757576%0.655166%0.757576%0.8%5
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Dane County at large.
Scope: population of Dane County and Dane
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-91.569286%-91.569286%-91.6%0.303%0.30%3.594%3.59%-91.046479%-91.046479%-91.0%0.303%0.30%3.384%3.38%-81.063589%-81.063589%-81.1%2.424%2.42%12.802%12.8%-27.986349%-27.986349%-28.0%21.061%21.1%29.245%29.2%55.911283%55.911283%+55.9%15.455%15.5%9.912%9.91%29.923138%29.923138%+29.9%23.333%23.3%17.959%18.0%50.230415%50.230415%+50.2%27.576%27.6%18.356%18.4%152.033897%152.033897%+152.0%7.121%7.12%2.825%2.83%31.668621%31.668621%+31.7%1.667%1.67%1.266%1.27%15.631050%15.631050%+15.6%0.758%0.76%0.655%0.66%
% percentage with given level in Dane
ref. percentage with given level in Dane County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Dane County and Dane
More Females More Males
Dane County
Dane
0%50%100%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-2.727725%7.692308%7.692308%8%37.987%38.0%40.909%40.9%-22.751323%-22.751323%23%2.147446%56.494%56.5%46.023%46.0%136.764706%18.715526%136.764706%137%5.519%5.52%13.068%13.1%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Dane County and Dane
More Females More Males
Dane County
Dane
1k%0k%1k%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-1,000.000000%-1,000.000000%> 1000%50.224562%0.649%0.65%0.000%0%1,000.000000%30.803806%1,000.000000%> 1000%0.000%0%0.568%0.57%-242.857143%-20.935667%-242.857143%0k%3.896%3.90%1.136%1.14%-6.349206%-0.862384%-6.349206%0k%21.753%21.8%20.455%20.5%-13.694312%60.416667%60.416667%0k%11.688%11.7%18.750%18.8%-3.116713%10.661765%10.661765%0k%22.078%22.1%24.432%24.4%-59.398496%-59.398496%0k%7.469199%34.416%34.4%21.591%21.6%155.208333%22.056123%155.208333%0k%3.896%3.90%9.943%9.94%1,000.000000%21.331643%1,000.000000%> 1000%0.000%0%3.125%3.13%-1,000.000000%-1,000.000000%> 1000%1.044564%1.623%1.62%0.000%0%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Dane County and Dane
Dane
Dane County
0%10%20%30%B.X.Total65+45-6435-4425-345.063291%20.791389%5.063291%5.1%47916.666667%26.598515%16.666667%16.7%4024037.903226%31.161136%37.903226%37.9%4712422.119816%38.293249%22.119816%22.1%48217
B.X. number of people with a Bachelor's degree
Total number of people in age cohort

Relative Bachelor's Degrees By Age#8

Percentage of population whose highest degree is a Bachelor's, as a percentage more or less than Dane County at large.
Scope: population of Dane County and Dane
60%40%20%0%20%%ref.65+45-6435-4425-34-75.647172%-75.647172%75.6%5.063%5.06%20.791%20.8%-37.339861%-37.339861%37.3%16.667%16.7%26.599%26.6%21.636215%21.636215%21.6%37.903%37.9%31.161%31.2%-42.235730%-42.235730%42.2%22.120%22.1%38.293%38.3%
% percentage in Dane with a Bachelor's degree
ref percentage in Dane County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Dane County and Dane
More Females More Males
Dane County
Dane
1,000%500%0%FM65+45-6435-4425-34-1,000.000000%-1,000.000000%> 1000%4.024210%9.302%9.30%0.000%0%24.809160%1.975730%24.809160%24.8%14.679%14.7%18.321%18.3%-1.328671%-4.577430%-1.328671%1.3%38.182%38.2%37.681%37.7%-35.733573%-9.934954%-35.733573%35.7%25.743%25.7%18.966%19.0%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Dane County and Dane
Dane
Dane County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$66,250.000000$62,031.000000$66,250.000000$66.3k203.030%3.03%$59,375.000000$50,597.000000$59,375.000000$59.4k13921.061%21.1%$44,432.000000$35,796.000000$44,432.000000$44.4k25638.788%38.8%$31,875.000000$31,103.000000$31,875.000000$31.9k18227.576%27.6%$26,528.000000$20,331.000000$26,528.000000$26.5k639.545%9.55%$41,652.000000$42,039.000000$41,652.000000$41.7k660100.000%100%
Count number of people with given highest level of educational attainment
% percentage of people with given highest level of educational attainment
1or professional degree 2H.S. = High School

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of Dane County and Dane
Female Male
Dane County
Dane
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-63,750.000000$-54,545.000000$-63,750.000000$63.8k$63,750.000000$12,500.000000$54,545.000000$18,777.000000$76,250.000000$76.3k146$-48,036.000000$-42,380.000000$-48,036.000000$48.0k$48,036.000000$23,214.000000$42,380.000000$17,818.000000$71,250.000000$71.3k6772$-38,750.000000$-32,055.000000$-38,750.000000$38.8k$38,750.000000$11,985.000000$32,055.000000$8,174.000000$50,735.000000$50.7k104152$-28,571.000000$-27,678.000000$-28,571.000000$28.6k$28,571.000000$12,929.000000$27,678.000000$7,005.000000$41,500.000000$41.5k10676$-36,696.000000$-37,234.000000$-36,696.000000$36.7k$36,696.000000$12,054.000000$37,234.000000$10,537.000000$48,750.000000$48.8k308352
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Dane County and Dane
Dane
Dane County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%53.233831%100.000000%100.0%20.000000%0.000000%0.0%46.766169%00.000000%0.000000%0.000000%0.0%00.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Dane County and Dane
Dane
Dane County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma398.709677%87.237368%98.709677%98.7%15391.063830%80.387262%91.063830%91.1%21489.510490%76.854310%89.510490%89.5%12877.083333%64.453569%77.083333%77.1%37
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Dane County and Dane
Female Male
Dane County
Dane
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1AsianHispanic2-4.067797%-2.348655%-4.067797%4.1%4.067797%2.693769%2.348655%0.767773%6.761566%6.8%1912-0.000000%-50.000000%-11.933333%-1.018176%-50.000000%50.0%0.000000%11.933333%0.000000%0.0%05-0.000000%-27.008594%0.000000%0.0%0.000000%57.446809%27.008594%2.865468%57.446809%57.4%270
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Dane County and Dane
Female Male
Dane County
Dane
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%60%MFWhite1AsianHispanic2-23.843416%-1.919295%-50.652517%-25.762712%25.8%23.843416%50.652517%0.057650%23.843416%23.8%6776-50.000000%-64.547254%-50.000000%50.0%50.000000%0.000000%64.547254%3.919413%50.000000%50.0%65-0.000000%-20.937273%-9.454215%0.000000%0.0%0.000000%4.255319%20.937273%4.255319%4.3%20
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Madison Area

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

No H.S. Diploma by County Subdivision#16

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Dane, selected other county subdivisions in the Madison Area, and entities that contain Dane
0%5%10%15%20%Count#Town of MadisonMadisonUnited States of AmericaUnited StatesWisconsin DellsMarshallTown of Sun PrairieSun PrairieBrodheadEast North CentralZIP Code 53529ZIP 53529MidwestDaneDaneMonroePortageFitchburgWisconsinCottage GroveStoughtonNew GlarusLodi School DistrictLodiLodiTown of PacificPacificDodgevilleMineral PointTown of LodiTown of BurkePardeevilleMadison Metro AreaMadison Area013200Tract 013200Town of SpringfieldSpringfieldWindsorCross PlainsPoynetteColumbusMadisonDane CountyDaneTown of AlbionAlbionTown of DunkirkDunkirkSun PrairieTown of Pleasant SpringsPleasant SpgsTown of SpringdaleSpringdaleTown of BristolBristolTown of ExeterExeterMononaTown of RutlandRutlandTown of DekorraDekorraDeForestDeerfieldTown of West PointW PtTown of MiddletonMiddletonMount HorebMiddletonTown of Cottage GroveCottage GrvBellevilleMcFarlandVeronaTown of WestportWestportTown of DunnOregonTown of OregonOregonWaunakeeShorewood HillsShorewood Hls20.556309%20.556309%20.6%909113.020590%13.020590%13.0%27,818,38027.8M12.838227%12.838227%12.8%223212.413230%12.413230%12.4%304311.393939%11.393939%11.4%188411.343561%11.343561%11.3%244510.719464%10.719464%10.7%3,363,7843.36M10.709318%10.709318%10.7%15410.244520%10.244520%10.2%4,641,8354.64M9.545455%9.545455%9.5%639.545455%9.545455%9.5%639.425071%9.425071%9.4%70069.011461%9.011461%9.0%62978.662728%8.662728%8.7%1,61388.637220%8.637220%8.6%336,096336k8.020883%8.020883%8.0%33897.267179%7.267179%7.3%643107.262946%7.262946%7.3%108116.520102%6.520102%6.5%4336.294780%6.294780%6.3%123126.119545%6.119545%6.1%129135.627837%5.627837%5.6%186145.455537%5.455537%5.5%100155.433480%5.433480%5.4%136165.311502%5.311502%5.3%133175.263158%5.263158%5.3%79185.241862%5.241862%5.2%21,97222.0k5.235266%5.235266%5.2%3265.083909%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%7,351244.746468%4.746468%4.7%15,98916.0k4.741684%4.741684%4.7%67254.350417%4.350417%4.4%73263.955766%3.955766%4.0%812273.873094%3.873094%3.9%94283.871829%3.871829%3.9%58293.553099%3.553099%3.6%90303.418231%3.418231%3.4%51313.407952%3.407952%3.4%204323.379310%3.379310%3.4%49333.335218%3.335218%3.3%59343.207877%3.207877%3.2%202352.925046%2.925046%2.9%48362.822581%2.822581%2.8%42372.821242%2.821242%2.8%119382.778341%2.778341%2.8%137392.731305%2.731305%2.7%351402.503526%2.503526%2.5%71412.431373%2.431373%2.4%31422.149419%2.149419%2.1%124431.932367%1.932367%1.9%152441.882210%1.882210%1.9%62451.875617%1.875617%1.9%76461.639866%1.639866%1.6%103471.308017%1.308017%1.3%31481.194743%1.194743%1.2%100490.813609%0.813609%0.8%1150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#17

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Dane, selected other county subdivisions in the Madison Area, and entities that contain Dane
0%20%40%60%80%Count#Shorewood HillsShorewood HlsTown of MiddletonMiddletonVeronaMiddletonMadisonWaunakeeDane CountyDaneMononaTown of BristolBristolFitchburgTown of WestportWestportMcFarlandTown of OregonOregonTown of SpringdaleSpringdaleWindsorMount HorebOregonMadison Metro AreaMadison AreaCottage GroveSun Prairie013200Tract 013200Town of SpringfieldSpringfieldTown of Pleasant SpringsPleasant SpgsCross PlainsTown of BurkeTown of DunnTown of RutlandRutlandTown of LodiTown of West PointW PtDeForestStoughtonDeerfieldColumbusLodiTown of ExeterExeterTown of Cottage GroveCottage GrvLodi School DistrictLodiUnited States of AmericaUnited StatesMidwestNew GlarusTown of MadisonMadisonEast North CentralWisconsinMineral PointTown of DunkirkDunkirkBellevilleTown of Sun PrairieSun PrairieTown of DekorraDekorraTown of PacificPacificDaneDaneZIP Code 53529ZIP 53529PoynetteTown of AlbionAlbionMonroeDodgevilleWisconsin DellsPardeevillePortageBrodheadMarshall84.467456%84.467456%84.5%1,142165.670934%65.670934%65.7%2,770259.661836%59.661836%59.7%4,693358.898140%58.898140%58.9%7,569456.337583%56.337583%56.3%85,63285.6k550.561529%50.561529%50.6%4,232649.026156%49.026156%49.0%165,150165k48.847310%48.847310%48.8%2,924746.821950%46.821950%46.8%1,186846.358754%46.358754%46.4%8,632946.114147%46.114147%46.1%1,5191045.969839%45.969839%46.0%2,6521145.907173%45.907173%45.9%1,0881244.459279%44.459279%44.5%6661344.286023%44.286023%44.3%2,0501444.128980%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%8,4321840.211980%40.211980%40.2%2,50439.486673%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%9153330.703207%30.703207%30.7%2,03930.315023%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%5104124.090909%24.090909%24.1%15924.090909%24.090909%24.1%15922.809458%22.809458%22.8%32822.209096%22.209096%22.2%3764221.939137%21.939137%21.9%3104321.489161%21.489161%21.5%1,5964421.422088%21.422088%21.4%7084518.364997%18.364997%18.4%3194616.588941%16.588941%16.6%2494715.587393%15.587393%15.6%1,0884812.691771%12.691771%12.7%2734912.576562%12.576562%12.6%30850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#18

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Dane, selected other county subdivisions in the Madison Area, and entities that contain Dane
0%10%20%30%40%Count#Shorewood HillsShorewood HlsTown of MiddletonMiddletonMiddletonMadisonTown of WestportWestportVeronaFitchburgDane CountyDaneTown of OregonOregonMadison Metro AreaMadison AreaTown of SpringfieldSpringfieldTown of SpringdaleSpringdaleWaunakeeMononaCottage GroveTown of RutlandRutlandOregonWindsorTown of LodiTown of DunnTown of BristolBristolTown of West PointW PtUnited States of AmericaUnited StatesSun Prairie013200Tract 013200ColumbusTown of MadisonMadisonTown of BurkeMidwestMineral PointEast North CentralWisconsinLodi School DistrictLodiMcFarlandTown of Pleasant SpringsPleasant SpgsTown of Sun PrairieSun PrairieWisconsin DellsBellevilleTown of ExeterExeterMonroeTown of DekorraDekorraTown of DunkirkDunkirkMount HorebDeForestTown of PacificPacificTown of AlbionAlbionStoughtonLodiZIP Code 53529ZIP 53529Cross PlainsNew GlarusPardeevilleTown of Cottage GroveCottage GrvDodgevillePortageDeerfieldBrodheadPoynetteDaneDaneMarshall43.713018%43.713018%43.7%591115.576102%15.576102%15.6%657210.022566%10.022566%10.0%1,28839.171173%9.171173%9.2%13,94013.9k47.802064%7.802064%7.8%25757.653191%7.653191%7.7%60267.196563%7.196563%7.2%1,34076.978843%6.978843%7.0%23,50923.5k5.991561%5.991561%6.0%14285.974750%5.974750%6.0%25,04425.0k5.923001%5.923001%5.9%12095.674232%5.674232%5.7%85105.651135%5.651135%5.7%473115.646509%5.646509%5.6%338125.220693%5.220693%5.2%220135.034483%5.034483%5.0%73145.015125%5.015125%5.0%315154.903867%4.903867%4.9%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%675213.227879%3.227879%3.2%2013.194888%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%105,215105k2.650203%2.650203%2.7%1762.565436%2.565436%2.6%148262.472188%2.472188%2.5%60272.363636%2.363636%2.4%39282.360391%2.360391%2.4%41292.352941%2.352941%2.4%30302.345845%2.345845%2.3%35312.262017%2.262017%2.3%168322.035048%2.035048%2.0%36331.966627%1.966627%2.0%33341.845467%1.845467%1.8%91351.778625%1.778625%1.8%112361.707780%1.707780%1.7%36371.698514%1.698514%1.7%24381.627486%1.627486%1.6%144391.586489%1.586489%1.6%31401.529903%1.529903%1.5%221.503759%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%11490.606061%0.606061%0.6%40.606061%0.606061%0.6%40.571662%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#19

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 Dane, selected other county subdivisions in the Madison Area, and entities that contain Dane
Female
Male
0x5x10xFM#Town of DunnBristolCottage GrvTown of BurkeZIP 53529SpringdaleExeterDeForestBellevilleW PtDaneDaneTract 013200RutlandOregonTown of LodiDodgevilleMarshallPortageSun PrairieDunkirkDeerfieldCottage GroveMonroeAlbionWisconsin DellsLodiMount HorebMadison AreaColumbusWisconsinMiddletonMadisonDaneSpringfieldMidwestMononaEast 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-1.000000x4.060914x4.060914x4.06x4.000%4.00%16.244%16.2%-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-1.000000x2.367647x2.367647x2.37x5.519%5.52%13.068%13.1%-1.000000x-1.000000x2.367647x2.367647x2.37x5.519%5.52%13.068%13.1%-1.000000x-1.000000x2.230659x2.230659x2.23x3.215%3.22%7.172%7.17%-1.000000x-1.000000x2.139053x2.139053x2.14x2.131%2.13%4.558%4.56%10-1.000000x-1.000000x2.128547x2.128547x2.13x0.838%0.84%1.784%1.78%11-1.000000x-1.000000x1.957041x1.957041x1.96x3.656%3.66%7.154%7.15%12-1.000000x-1.000000x1.952903x1.952903x1.95x3.886%3.89%7.588%7.59%13-1.000000x-1.000000x1.738772x1.738772x1.74x9.134%9.13%15.882%15.9%14-1.000000x-1.000000x1.691613x1.691613x1.69x6.604%6.60%11.172%11.2%15-1.000000x-1.000000x1.536810x1.536810x1.54x8.981%8.98%13.801%13.8%16-1.000000x-1.000000x1.517754x1.517754x1.52x3.436%3.44%5.214%5.21%17-1.000000x-1.000000x1.476903x1.476903x1.48x2.354%2.35%3.477%3.48%18-1.000000x-1.000000x1.469266x1.469266x1.47x6.528%6.53%9.591%9.59%19-1.000000x-1.000000x1.446456x1.446456x1.45x7.842%7.84%11.343%11.3%20-1.000000x-1.000000x1.347347x1.347347x1.35x4.012%4.01%5.405%5.41%21-1.000000x-1.000000x1.297273x1.297273x1.30x11.163%11.2%14.481%14.5%22-1.000000x-1.000000x1.267063x1.267063x1.27x5.749%5.75%7.284%7.28%-1.000000x-1.000000x1.259621x1.259621x1.26x2.461%2.46%3.100%3.10%23-1.000000x-1.000000x1.231258x1.231258x1.23x4.707%4.71%5.796%5.80%-1.000000x-1.000000x1.222166x1.222166x1.22x4.404%4.40%5.383%5.38%24-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.211415x1.211415x1.21x2.544%2.54%3.082%3.08%25-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%26-1.000000x-1.000000x1.187155x1.187155x1.19x4.348%4.35%5.162%5.16%-1.000000x-1.000000x1.186266x1.186266x1.19x4.634%4.63%5.498%5.50%27-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127054x1.127054x1.13x3.218%3.22%3.627%3.63%28-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.081981x1.081981x1.08x4.877%4.88%5.277%5.28%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#20

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 Dane, selected other county subdivisions in the Madison Area, and entities that contain Dane
Female
Male
10x5x0x5x10xFM#PortageBellevillePleasant SpgsColumbusSpringdaleW PtWaunakeeExeterWindsorStoughtonMineral PointCottage GrvShorewood HlsDeForestRutlandFitchburgSun PrairieMcFarlandEast North CentralMidwestWisconsinUnited StatesAlbionCottage GroveMount HorebLodiMonroeMiddletonMiddletonSpringfieldDaneMadison AreaMadisonCross PlainsNew GlarusTown of DunnWestportZIP 53529MononaLodiTract 013200Town of LodiSun PrairieOregonPoynetteDaneDaneOregonDodgevilleWisconsin DellsTown of BurkeBristolVeronaDunkirkMadisonDekorraPacificMarshallBrodheadDeerfieldPardeeville-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.120%2.12%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.975%4.98%2-1.000000x-1.000000x6.668197x6.668197x6.67x0.651%0.65%4.341%4.34%3-1.000000x-1.000000x5.794505x5.794505x5.79x0.960%0.96%5.562%5.56%4-1.000000x-1.000000x3.653292x3.653292x3.65x2.426%2.43%8.862%8.86%5-1.000000x-1.000000x3.343627x3.343627x3.34x1.651%1.65%5.519%5.52%6-1.000000x-1.000000x2.325820x2.325820x2.33x3.499%3.50%8.138%8.14%7-1.000000x-1.000000x2.282051x2.282051x2.28x1.404%1.40%3.205%3.21%8-1.000000x-1.000000x2.114151x2.114151x2.11x3.151%3.15%6.661%6.66%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-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.515766x1.515766x1.52x1.337%1.34%2.027%2.03%19-1.000000x-1.000000x1.490739x1.490739x1.49x4.213%4.21%6.280%6.28%20-1.000000x-1.000000x1.475530x1.475530x1.48x1.493%1.49%2.202%2.20%21-1.000000x-1.000000x1.472820x1.472820x1.47x1.307%1.31%1.925%1.93%22-1.000000x-1.000000x1.466038x1.466038x1.47x1.868%1.87%2.739%2.74%23-1.000000x-1.000000x1.463350x1.463350x1.46x12.573%12.6%18.399%18.4%24-1.000000x-1.000000x1.452651x1.452651x1.45x8.299%8.30%12.055%12.1%25-1.000000x-1.000000x1.429525x1.429525x1.43x4.840%4.84%6.919%6.92%26-1.000000x-1.000000x1.404212x1.404212x1.40x5.827%5.83%8.182%8.18%-1.000000x-1.000000x1.400349x1.400349x1.40x4.993%4.99%6.992%6.99%-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%27-1.000000x-1.000000x1.370370x1.370370x1.37x1.280%1.28%1.754%1.75%28-1.000000x-1.000000x1.301909x1.301909x1.30x1.241%1.24%1.615%1.62%29-1.000000x-1.000000x1.297401x1.297401x1.30x3.679%3.68%4.773%4.77%30-1.000000x-1.000000x1.193961x1.193961x1.19x7.121%7.12%8.503%8.50%31-1.000000x-1.000000x1.191483x1.191483x1.19x1.385%1.38%1.650%1.65%-1.000000x-1.000000x1.163055x1.163055x1.16x5.248%5.25%6.104%6.10%32-1.000000x-1.000000x1.161941x1.161941x1.16x2.451%2.45%2.848%2.85%-1.000000x-1.000000x1.091391x1.091391x1.09x3.084%3.08%3.366%3.37%-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%36-1.142857x-1.142857x1.14x1.000000x1.000000x0.649%0.65%0.568%0.57%-1.142857x-1.142857x1.14x1.000000x1.000000x0.649%0.65%0.568%0.57%-1.205414x-1.205414x1.21x1.000000x1.000000x5.437%5.44%4.510%4.51%37-1.277321x-1.277321x1.28x1.000000x1.000000x1.314%1.31%1.029%1.03%38-1.303036x-1.303036x1.30x1.000000x1.000000x2.674%2.67%2.052%2.05%39-1.333367x-1.333367x1.33x1.000000x1.000000x3.328%3.33%2.496%2.50%40-1.415262x-1.415262x1.42x1.000000x1.000000x4.502%4.50%3.181%3.18%41-1.734884x-1.734884x1.73x1.000000x1.000000x9.494%9.49%5.472%5.47%42-1.853067x-1.853067x1.85x1.000000x1.000000x2.577%2.58%1.390%1.39%43-2.320000x-2.320000x2.32x1.000000x1.000000x4.328%4.33%1.866%1.87%44-3.363309x-3.363309x3.36x1.000000x1.000000x3.237%3.24%0.963%0.96%45-4.777365x-4.777365x4.78x1.000000x1.000000x2.783%2.78%0.583%0.58%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.112%1.11%0.000%0%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.356%1.36%0.000%0%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.735%1.73%0.000%0%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.717%2.72%0.000%0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in Wisconsin

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

No H.S. Diploma by County Subdivision#21

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Dane, selected other county subdivisions in Wisconsin, and entities that contain Dane
0%5%10%15%Count#BeloitRacineMilwaukeeUnited States of AmericaUnited StatesGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralZIP Code 53529ZIP 53529MidwestWest AllisOshkoshBeaver DamDaneDaneSouth MilwaukeeS MilwaukeeMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaWest BendLodi School DistrictLodiSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekMadison Metro AreaMadison Area013200Tract 013200GermantownOnalaskaMadisonDane CountyDaneMenomonee FallsNew BerlinOconomowocSun PrairieDe PereMuskegoWauwatosaBrookfieldMiddletonMequon18.491431%18.491431%18.5%4,197117.907441%17.907441%17.9%8,710217.485105%17.485105%17.5%63,80063.8k313.020590%13.020590%13.0%27,818,38027.8M12.535944%12.535944%12.5%8,414411.643417%11.643417%11.6%3,806511.549265%11.549265%11.5%7,360611.206563%11.206563%11.2%2,609711.082337%11.082337%11.1%1,455810.776184%10.776184%10.8%2,885910.719464%10.719464%10.7%3,363,7843.36M10.709318%10.709318%10.7%15410.244520%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%1,115129.545455%9.545455%9.5%639.545455%9.545455%9.5%639.190270%9.190270%9.2%1,379138.829004%8.829004%8.8%1,091148.713948%8.713948%8.7%2,547158.662728%8.662728%8.7%1,613168.637220%8.637220%8.6%336,096336k8.522583%8.522583%8.5%3,704178.211921%8.211921%8.2%620188.204982%8.204982%8.2%2,296197.709924%7.709924%7.7%1,111207.618904%7.618904%7.6%3,034217.392323%7.392323%7.4%1,924227.158983%7.158983%7.2%3,393237.144208%7.144208%7.1%1,133247.116644%7.116644%7.1%2,075257.048284%7.048284%7.0%889266.746719%6.746719%6.7%1,208276.565400%6.565400%6.6%1,422286.520102%6.520102%6.5%4336.289585%6.289585%6.3%1,142296.244351%6.244351%6.2%829306.168099%6.168099%6.2%739316.128290%6.128290%6.1%2,398326.111996%6.111996%6.1%883336.065319%6.065319%6.1%780346.042598%6.042598%6.0%1,149355.863324%5.863324%5.9%1,015365.765641%5.765641%5.8%1,421375.241862%5.241862%5.2%21,97222.0k5.235266%5.235266%5.2%3265.227570%5.227570%5.2%719384.888290%4.888290%4.9%617394.836248%4.836248%4.8%7,351404.746468%4.746468%4.7%15,98916.0k4.484909%4.484909%4.5%1,165414.236891%4.236891%4.2%1,267423.988090%3.988090%4.0%442433.955766%3.955766%4.0%812443.911088%3.911088%3.9%600453.554446%3.554446%3.6%598463.390471%3.390471%3.4%1,167472.806979%2.806979%2.8%761482.731305%2.731305%2.7%351492.107701%2.107701%2.1%35550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#22

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Dane, selected other county subdivisions in Wisconsin, and entities that contain Dane
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonDane CountyDaneFitchburgOconomowocMadison Metro AreaMadison AreaMenomonee FallsSun PrairieNew Berlin013200Tract 013200GermantownFranklinStevens PointDe PereWaukeshaOnalaskaMenomonieMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteOak CreekLodi School DistrictLodiUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardEast North CentralWisconsinMarshfieldWest BendAshwaubenonWausauOshkoshGreen BayDaneDaneWest AllisFond du LacMilwaukeeKenoshaZIP Code 53529ZIP 53529SuperiorJanesvilleCudahyManitowocSouth MilwaukeeS MilwaukeeSheboyganBeaver DamRacineBeloitWisconsin Rapids63.254765%63.254765%63.3%10,65410.7k158.898140%58.898140%58.9%7,569258.155142%58.155142%58.2%20,01720.0k358.053926%58.053926%58.1%15,73915.7k456.337583%56.337583%56.3%85,63285.6k549.026156%49.026156%49.0%165,150165k46.358754%46.358754%46.4%8,632644.229902%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%12,19512.2k1040.211980%40.211980%40.2%2,50439.610295%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%7,7982630.703207%30.703207%30.7%2,03930.315023%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%16,20216.2k3624.090909%24.090909%24.1%15924.090909%24.090909%24.1%15923.980394%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%14,61114.6k4022.809458%22.809458%22.8%32822.415597%22.415597%22.4%4,0704122.035848%22.035848%22.0%9,5774221.471552%21.471552%21.5%2,8194321.017138%21.017138%21.0%4,8934420.519827%20.519827%20.5%3,0794519.530103%19.530103%19.5%6,3844618.623951%18.623951%18.6%2,0874717.525031%17.525031%17.5%8,5244816.605719%16.605719%16.6%3,7694915.880441%15.880441%15.9%2,00350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#23

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Dane, selected other county subdivisions in Wisconsin, and entities that contain Dane
0%2%4%6%8%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgDane CountyDaneMadison Metro AreaMadison AreaMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun Prairie013200Tract 013200NeenahFranklinDe PereGermantownMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoLodi School DistrictLodiPleasant PrairieBeaver DamWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWaukeshaMilwaukeeGreenfieldOak CreekBeloitGreen BayKenoshaWisconsin RapidsJanesvilleOshkoshZIP Code 53529ZIP 53529SuperiorFond du LacHowardCudahyWest BendWest AllisRacineManitowocSouth MilwaukeeS MilwaukeeSheboyganAshwaubenonDaneDane11.084724%11.084724%11.1%1,867110.022566%10.022566%10.0%1,28829.217661%9.217661%9.2%2,49939.171173%9.171173%9.2%13,94013.9k48.094131%8.094131%8.1%2,78657.196563%7.196563%7.2%1,34066.978843%6.978843%7.0%23,50923.5k5.974750%5.974750%6.0%25,04425.0k5.867120%5.867120%5.9%72574.993377%4.993377%5.0%37784.777583%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%675153.227879%3.227879%3.2%2013.188724%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%450222.650203%2.650203%2.7%1762.637058%2.637058%2.6%380232.552204%2.552204%2.6%286242.416704%2.416704%2.4%647252.396116%2.396116%2.4%380262.356884%2.356884%2.4%422272.303445%2.303445%2.3%438282.244652%2.244652%2.2%298292.192214%2.192214%2.2%1,039302.043126%2.043126%2.0%7,455311.868992%1.868992%1.9%523321.809624%1.809624%1.8%446331.784377%1.784377%1.8%405341.777440%1.777440%1.8%1,193351.762204%1.762204%1.8%1,123361.688734%1.688734%1.7%213371.555418%1.555418%1.6%676381.549604%1.549604%1.5%644391.529903%1.529903%1.5%221.525582%1.525582%1.5%277401.454035%1.454035%1.5%425411.384137%1.384137%1.4%178421.302460%1.302460%1.3%171431.292765%1.292765%1.3%280441.251567%1.251567%1.3%549451.155451%1.155451%1.2%562461.133972%1.133972%1.1%264470.893036%0.893036%0.9%134480.868820%0.868820%0.9%284490.784576%0.784576%0.8%94500.606061%0.606061%0.6%40.606061%0.606061%0.6%4
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#24

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 Dane, selected other county subdivisions in Wisconsin, and entities that contain Dane
Female
Male
1x0x1x2x3x4xFM#ZIP 53529DaneDaneTract 013200De PereMenashaOshkoshFranklinCaledoniaManitowocGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorLodiMadison AreaStevens PointAppletonWisconsinRacineGrand ChuteGermantownMadisonDaneMuskegoKenoshaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-1.000000x-1.000000x4.060914x4.060914x4.06x4.000%4.00%16.244%16.2%-1.000000x-1.000000x2.367647x2.367647x2.37x5.519%5.52%13.068%13.1%-1.000000x-1.000000x2.367647x2.367647x2.37x5.519%5.52%13.068%13.1%-1.000000x-1.000000x2.230659x2.230659x2.23x3.215%3.22%7.172%7.17%-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%1-1.000000x-1.000000x1.888774x1.888774x1.89x4.337%4.34%8.192%8.19%2-1.000000x-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.534399x1.534399x1.53x5.333%5.33%8.182%8.18%5-1.000000x-1.000000x1.432549x1.432549x1.43x9.294%9.29%13.313%13.3%6-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%7-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%9-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%10-1.000000x-1.000000x1.294088x1.294088x1.29x7.468%7.47%9.664%9.66%11-1.000000x-1.000000x1.293422x1.293422x1.29x5.323%5.32%6.885%6.89%12-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%13-1.000000x-1.000000x1.267063x1.267063x1.27x5.749%5.75%7.284%7.28%-1.000000x-1.000000x1.231258x1.231258x1.23x4.707%4.71%5.796%5.80%-1.000000x-1.000000x1.229327x1.229327x1.23x5.499%5.50%6.760%6.76%14-1.000000x-1.000000x1.219351x1.219351x1.22x6.887%6.89%8.397%8.40%15-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.214505x1.214505x1.21x16.245%16.2%19.730%19.7%16-1.000000x-1.000000x1.207489x1.207489x1.21x6.484%6.48%7.830%7.83%17-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%18-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%19-1.000000x-1.000000x1.187155x1.187155x1.19x4.348%4.35%5.162%5.16%-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%20-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%21-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%22-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%23-1.000000x-1.000000x1.118245x1.118245x1.12x6.211%6.21%6.945%6.95%24-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%25-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.104897x1.104897x1.10x5.834%5.83%6.446%6.45%26-1.000000x-1.000000x1.104741x1.104741x1.10x6.724%6.72%7.428%7.43%27-1.000000x-1.000000x1.077248x1.077248x1.08x4.329%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#25

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 Dane, selected other county subdivisions in Wisconsin, and entities that contain Dane
Female
Male
1x0x1x2x3xFM#NeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauFitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinWest AllisWauwatosaWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocFranklinLa CrosseS MilwaukeeMiddletonDaneMadison AreaMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaZIP 53529LodiTract 013200OconomowocWisconsin RapidsMenashaGreenfieldOak CreekDaneDaneAshwaubenon-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-1.000000x1.632200x1.632200x1.63x0.991%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-1.000000x1.404212x1.404212x1.40x5.827%5.83%8.182%8.18%-1.000000x-1.000000x1.400349x1.400349x1.40x4.993%4.99%6.992%6.99%-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%37-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%38-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%39-1.000000x-1.000000x1.363936x1.363936x1.36x2.638%2.64%3.598%3.60%40-1.000000x-1.000000x1.256412x1.256412x1.26x2.128%2.13%2.674%2.67%41-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%42-1.000000x-1.000000x1.211592x1.211592x1.21x2.722%2.72%3.299%3.30%43-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%44-1.000000x-1.000000x1.191483x1.191483x1.19x1.385%1.38%1.650%1.65%-1.000000x-1.000000x1.161941x1.161941x1.16x2.451%2.45%2.848%2.85%-1.000000x-1.000000x1.091391x1.091391x1.09x3.084%3.08%3.366%3.37%-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%49-1.142857x-1.142857x1.14x1.000000x1.000000x0.649%0.65%0.568%0.57%-1.142857x-1.142857x1.14x1.000000x1.000000x0.649%0.65%0.568%0.57%-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 Dane to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Dane. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#26

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Dane, selected other county subdivisions in the Midwest, and entities that contain Dane
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 CentralZIP Code 53529ZIP 53529Worth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsDaneDaneWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonLodi School DistrictLodiOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadison Metro AreaMadison Area013200Tract 013200MadisonDane CountyDaneDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.709318%10.709318%10.7%15410.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.545455%9.545455%9.5%639.545455%9.545455%9.5%638.637220%8.637220%8.6%336,096336k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.520102%6.520102%6.5%4336.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126455.241862%5.241862%5.2%21,97222.0k5.235266%5.235266%5.2%3264.836248%4.836248%4.8%7,351464.746468%4.746468%4.7%15,98916.0k4.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#27

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Dane, selected other county subdivisions in the Midwest, and entities that contain Dane
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipDane CountyDaneMinneapolisOlatheWheeling TownshipWheelingMadison Metro AreaMadison AreaSchaumburg TownshipSchaumburgKaw Township013200Tract 013200St. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsLodi School DistrictLodiUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralWisconsinSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthDaneDaneMilwaukeeZIP Code 53529ZIP 53529Rockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k949.026156%49.026156%49.0%165,150165k47.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1243.867317%43.867317%43.9%183,876184k41.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1440.211980%40.211980%40.2%2,50439.969357%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%27,10227.1k2830.703207%30.703207%30.7%2,03930.315023%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%26,38926.4k3524.090909%24.090909%24.1%15924.090909%24.090909%24.1%15923.517740%23.517740%23.5%85,81285.8k3622.809458%22.809458%22.8%32821.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#28

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Dane, selected other county subdivisions in the Midwest, and entities that contain Dane
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonDane CountyDaneMinneapolisYork TownshipMadison Metro AreaMadison AreaOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopeka013200Tract 013200Grand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinLodi School DistrictLodiCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNZIP Code 53529ZIP 53529Sterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonDaneDane17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.978843%6.978843%7.0%23,50923.5k6.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.974750%5.974750%6.0%25,04425.0k5.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%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%2,748233.227879%3.227879%3.2%2013.174629%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%105,215105k2.650203%2.650203%2.7%1762.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.529903%1.529903%1.5%221.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.606061%0.606061%0.6%40.606061%0.606061%0.6%4
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#29

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 Dane, selected other county subdivisions in the Midwest, and entities that contain Dane
Female
Male
1x0x1x2x3x4xFM#ZIP 53529DaneDaneTract 013200LodiCedar RapidsLincolnDetroitMadison AreaOmahaToledoWisconsinThorntonKansas CityMadisonDaneLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x4.060914x4.060914x4.06x4.000%4.00%16.244%16.2%-1.000000x-1.000000x2.367647x2.367647x2.37x5.519%5.52%13.068%13.1%-1.000000x-1.000000x2.367647x2.367647x2.37x5.519%5.52%13.068%13.1%-1.000000x-1.000000x2.230659x2.230659x2.23x3.215%3.22%7.172%7.17%-1.000000x-1.000000x1.267063x1.267063x1.27x5.749%5.75%7.284%7.28%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.231258x1.231258x1.23x4.707%4.71%5.796%5.80%-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.187155x1.187155x1.19x4.348%4.35%5.162%5.16%-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%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#30

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 Dane, selected other county subdivisions in the Midwest, and entities that contain Dane
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusDaneMadison AreaMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrZIP 53529LodiToledoMinneapolisTract 013200WorthDetroitProvisoDaneDaneThornton-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-1.000000x1.627456x1.627456x1.63x3.304%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-1.000000x1.404212x1.404212x1.40x5.827%5.83%8.182%8.18%-1.000000x-1.000000x1.400349x1.400349x1.40x4.993%4.99%6.992%6.99%-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.191483x1.191483x1.19x1.385%1.38%1.650%1.65%-1.000000x-1.000000x1.161941x1.161941x1.16x2.451%2.45%2.848%2.85%-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-1.000000x1.091391x1.091391x1.09x3.084%3.08%3.366%3.37%-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%49-1.142857x-1.142857x1.14x1.000000x1.000000x0.649%0.65%0.568%0.57%-1.142857x-1.142857x1.14x1.000000x1.000000x0.649%0.65%0.568%0.57%-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 Dane to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Dane. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#31

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Dane, selected other county subdivisions in the United States, and entities that contain Dane
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 CentralZIP Code 53529ZIP 53529Salt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonDaneDaneAtlantaSeattleWisconsinNortheast TarrantNE TarrantLodi School DistrictLodiPlanoMadison Metro AreaMadison Area013200Tract 013200Seattle EastDane CountyDane28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.709318%10.709318%10.7%15410.435356%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%46,51046.5k459.545455%9.545455%9.5%639.545455%9.545455%9.5%639.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.637220%8.637220%8.6%336,096336k8.418271%8.418271%8.4%31,44331.4k486.520102%6.520102%6.5%4335.714681%5.714681%5.7%20,64420.6k495.241862%5.241862%5.2%21,97222.0k5.235266%5.235266%5.2%3264.913852%4.913852%4.9%20,32620.3k504.746468%4.746468%4.7%15,98916.0k
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#32

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Dane, selected other county subdivisions in the United States, and entities that contain Dane
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleDane CountyDaneBostonDenverAustinMadison Metro AreaMadison AreaTownship 1:Charlotte1, Charlotte013200Tract 013200Town of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaLodi School DistrictLodiQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…WisconsinSacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthDaneDaneSouthwest DallasSW DallasMilwaukeeZIP Code 53529ZIP 53529FresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k849.026156%49.026156%49.0%165,150165k46.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1143.867317%43.867317%43.9%183,876184k41.989192%41.989192%42.0%223,068223k1240.211980%40.211980%40.2%2,50438.767308%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%120,191120k2830.703207%30.703207%30.7%2,03930.595789%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%131,349131k4124.090909%24.090909%24.1%15924.090909%24.090909%24.1%15923.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.809458%22.809458%22.8%32822.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#33

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Dane, selected other county subdivisions in the United States, and entities that contain Dane
0%5%10%Count#WashingtonManhattanSan FranciscoBostonDane CountyDaneAtlantaSeattleSan 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 States013200Tract 013200TulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisLodi School DistrictLodiNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxZIP Code 53529ZIP 53529DetroitDaneDane12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.978843%6.978843%7.0%23,50923.5k6.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.974750%5.974750%6.0%25,04425.0k5.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%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%7,127,6737.13M3.227879%3.227879%3.2%2013.140490%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%12,62112.6k382.650203%2.650203%2.7%1762.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.529903%1.529903%1.5%221.318660%1.318660%1.3%5,693500.606061%0.606061%0.6%40.606061%0.606061%0.6%4
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Dane, selected other county subdivisions in the United States, and entities that contain Dane
Female
Male
1x0x1x2x3x4xFM#ZIP 53529DaneDaneTract 0132001, CharlotteLodiDetroitMadison AreaWisconsinDaneBaltimoreTulsaSW 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-1.000000x4.060914x4.060914x4.06x4.000%4.00%16.244%16.2%-1.000000x-1.000000x2.367647x2.367647x2.37x5.519%5.52%13.068%13.1%-1.000000x-1.000000x2.367647x2.367647x2.37x5.519%5.52%13.068%13.1%-1.000000x-1.000000x2.230659x2.230659x2.23x3.215%3.22%7.172%7.17%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.267063x1.267063x1.27x5.749%5.75%7.284%7.28%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.231258x1.231258x1.23x4.707%4.71%5.796%5.80%-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.187155x1.187155x1.19x4.348%4.35%5.162%5.16%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%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#35

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 Dane, selected other county subdivisions in the United States, and entities that contain Dane
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusDaneMadison AreaMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioZIP 53529Long Bch-LakewoodLodiDenverSan FranciscoTract 013200DetroitDaneDane-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-1.000000x1.621815x1.621815x1.62x3.429%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-1.000000x1.404212x1.404212x1.40x5.827%5.83%8.182%8.18%-1.000000x-1.000000x1.400349x1.400349x1.40x4.993%4.99%6.992%6.99%-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.191483x1.191483x1.19x1.385%1.38%1.650%1.65%-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.161941x1.161941x1.16x2.451%2.45%2.848%2.85%-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-1.000000x1.091391x1.091391x1.09x3.084%3.08%3.366%3.37%-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50-1.142857x-1.142857x1.14x1.000000x1.000000x0.649%0.65%0.568%0.57%-1.142857x-1.142857x1.14x1.000000x1.000000x0.649%0.65%0.568%0.57%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Wisconsin
County:
Dane
Metro Area:
Madison Area
Village:
Dane
ZIP Code:
53529
Unified School District:
Lodi
Congressional District:
WI-2
State Senate District:
WI-14
Assembly District:
WI-42
Neighboring Towns:
Dane, Vienna
Nearby Towns:
Arlington, Lodi, Roxbury, Springfield, West Point, Westport