Educational Attainment in Dane County, Wisconsin (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wisconsin and Dane County
Dane County
Wisconsin
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma258.938553%38.686675%58.938553%58.9%198,541199k36.314979%52.676105%36.314979%36.3%122,331122k4.746468%8.637220%4.746468%4.7%15,98916.0k
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 Wisconsin at large.
Scope: population of Wisconsin and Dane County
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma252.348461%52.348461%+52.3%58.939%58.9%38.687%38.7%-31.059864%-31.059864%-31.1%36.315%36.3%52.676%52.7%-45.046345%-45.046345%-45.0%4.746%4.75%8.637%8.64%
% percentage with given level in Dane County
ref. percentage with given level in Wisconsin
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 Wisconsin and Dane County
Dane County
Wisconsin
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None3.594361%1.094506%3.594361%3.6%12,10812.1k3.384482%1.609379%3.384482%3.4%11,40111.4k12.802016%6.922399%12.802016%12.8%43,12543.1k29.245297%18.747154%29.245297%29.2%98,51698.5k9.912397%10.313236%9.912397%9.9%33,39133.4k17.959336%20.983992%17.959336%18.0%60,49860.5k18.355642%31.692113%18.355642%18.4%61,83361.8k2.825498%5.657202%2.825498%2.8%9,5181.265804%2.130908%1.265804%1.3%4,2640.655166%0.849110%0.655166%0.7%2,207
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 Wisconsin at large.
Scope: population of Wisconsin and Dane County
-200%0%+200%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None228.400187%228.400187%+228.4%3.594%3.59%1.095%1.09%110.297365%110.297365%+110.3%3.384%3.38%1.609%1.61%84.936115%84.936115%+84.9%12.802%12.8%6.922%6.92%55.998597%55.998597%+56.0%29.245%29.2%18.747%18.7%-3.886645%-3.886645%-3.9%9.912%9.91%10.313%10.3%-14.414109%-14.414109%-14.4%17.959%18.0%20.984%21.0%-42.081356%-42.081356%-42.1%18.356%18.4%31.692%31.7%-50.054858%-50.054858%-50.1%2.825%2.83%5.657%5.66%-40.597905%-40.597905%-40.6%1.266%1.27%2.131%2.13%-22.840790%-22.840790%-22.8%0.655%0.66%0.849%0.85%
% percentage with given level in Dane County
ref. percentage with given level in Wisconsin
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 Wisconsin and Dane County
More Females More Males
Wisconsin
Dane County
0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-2.727725%-9.820753%-2.727725%3%59.714%59.7%58.128%58.1%2.147446%3.687318%2.147446%2%35.938%35.9%36.709%36.7%18.715526%21.929118%18.715526%19%4.348%4.35%5.162%5.16%
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 Wisconsin and Dane County
More Females More Males
Wisconsin
Dane County
20%0%20%40%60%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None50.224562%49.112245%50.224562%50%2.886%2.89%4.335%4.33%30.803806%63.725126%30.803806%31%2.941%2.94%3.847%3.85%-20.935667%-26.714257%-20.935667%21%13.986%14.0%11.565%11.6%-0.862384%-10.314398%-0.862384%1%29.368%29.4%29.117%29.1%-13.694312%-14.230343%-13.694312%14%10.533%10.5%9.264%9.26%-3.116713%-1.828461%-3.116713%3%18.229%18.2%17.678%17.7%7.469199%7.484254%7.469199%7%17.709%17.7%19.032%19.0%22.056123%27.756322%22.056123%22%2.550%2.55%3.113%3.11%21.331643%11.346432%21.331643%21%1.146%1.15%1.391%1.39%1.044564%12.366663%1.044564%1%0.652%0.65%0.659%0.66%
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 Wisconsin and Dane County
Dane County
Wisconsin
0%10%20%30%B.X.Total65+45-6435-4425-3420.791389%12.755764%20.791389%20.8%12,82612.8k61,68961.7k26.598515%17.674080%26.598515%26.6%34,00734.0k127,853128k31.161136%22.171538%31.161136%31.2%20,66720.7k66,32366.3k38.293249%25.037795%38.293249%38.3%31,01631.0k80,99681.0k
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 Wisconsin at large.
Scope: population of Wisconsin and Dane County
0%10%20%30%40%50%60%%ref.65+45-6435-4425-3462.996028%62.996028%63.0%20.791%20.8%12.756%12.8%50.494481%50.494481%50.5%26.599%26.6%17.674%17.7%40.545667%40.545667%40.5%31.161%31.2%22.172%22.2%52.941777%52.941777%52.9%38.293%38.3%25.038%25.0%
% percentage in Dane County with a Bachelor's degree
ref percentage in Wisconsin 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 Wisconsin and Dane County
More Females More Males
Wisconsin
Dane County
20%10%0%10%FM65+45-6435-4425-344.024210%15.252186%4.024210%4.0%20.428%20.4%21.251%21.3%-8.291196%1.975730%1.975730%2.0%26.345%26.3%26.865%26.9%-4.577430%-22.719305%-4.577430%4.6%31.865%31.9%30.471%30.5%-9.934954%-29.514910%-9.934954%9.9%40.162%40.2%36.532%36.5%
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 Wisconsin and Dane County
Dane County
Wisconsin
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$62,031.000000$61,842.000000$62,031.000000$62.0k66,63466.6k19.781%19.8%$50,597.000000$48,286.000000$50,597.000000$50.6k98,51698.5k29.245%29.2%$35,796.000000$34,771.000000$35,796.000000$35.8k93,88993.9k27.872%27.9%$31,103.000000$30,475.000000$31,103.000000$31.1k61,83361.8k18.356%18.4%$20,331.000000$22,317.000000$20,331.000000$20.3k15,98916.0k4.746%4.75%$42,039.000000$36,855.000000$42,039.000000$42.0k336,861337k100.000%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 Wisconsin and Dane County
Female Male
Wisconsin
Dane County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-54,545.000000$-55,037.000000$-54,545.000000$54.5k$54,545.000000$18,777.000000$55,037.000000$18,141.000000$73,322.000000$73.3k34,10434.1k32,53032.5k$-42,380.000000$-40,915.000000$-42,380.000000$42.4k$42,380.000000$17,818.000000$40,915.000000$18,355.000000$60,198.000000$60.2k50,55150.6k47,96548.0k$-32,055.000000$-28,362.000000$-32,055.000000$32.1k$32,055.000000$8,174.000000$28,362.000000$14,055.000000$40,229.000000$40.2k49,50749.5k44,38244.4k$-27,678.000000$-23,872.000000$-27,678.000000$27.7k$27,678.000000$7,005.000000$23,872.000000$12,519.000000$34,683.000000$34.7k30,48230.5k31,35131.4k$-16,154.000000$-16,775.000000$-16,154.000000$16.2k$16,154.000000$7,137.000000$16,775.000000$9,472.000000$23,291.000000$23.3k7,4858,504$-37,234.000000$-30,829.000000$-37,234.000000$37.2k$37,234.000000$10,537.000000$30,829.000000$12,328.000000$47,771.000000$47.8k172,129172k164,732165k
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 Wisconsin and Dane County
Dane County
Wisconsin
0%10%20%30%40%50%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma353.233831%32.763533%53.233831%53.2%10746.766169%54.226021%46.766169%46.8%940.000000%0.000000%0.0%12.203229%00.000000%0.000000%0.0%0.807217%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 Wisconsin and Dane County
Dane County
Wisconsin
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma387.237368%85.899471%87.237368%87.2%122,777123k80.387262%79.335494%80.387262%80.4%63,43663.4k76.854310%73.240943%76.854310%76.9%33,87233.9k64.453569%53.971506%64.453569%64.5%7,378
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 Wisconsin and Dane County
Female Male
Wisconsin
Dane County
Shaded bar tips show excess over facing bar.
20%0%20%MFWhite1BlackAsianHispanic2Other1-2.348655%-5.697819%-2.348655%2.3%2.348655%0.767773%5.697819%1.469036%3.116427%3.1%4,3513,468-10.538674%-2.342130%-17.429079%-12.880804%12.9%10.538674%17.429079%2.936718%10.538674%10.5%763871-11.933333%-1.018176%-14.441272%-4.641233%-12.951509%13.0%11.933333%14.441272%11.933333%11.9%8951,047-27.008594%-31.307944%-27.008594%27.0%27.008594%2.865468%31.307944%5.178771%29.874062%29.9%2,4671,980-22.844002%-22.693686%-22.844002%22.8%22.844002%0.102980%22.693686%3.979967%22.946981%22.9%1,3721,192
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 Wisconsin and Dane County
Female Male
Wisconsin
Dane County
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-50.652517%-28.711494%-2.079187%-50.652517%50.7%50.652517%0.057650%28.711494%50.710167%50.7%70,79970.8k74,79374.8k-19.580006%-11.717867%-3.588054%-19.580006%19.6%19.580006%4.024966%11.717867%23.604972%23.6%1,7091,324-64.547254%-44.377167%-64.547254%64.5%64.547254%3.919413%44.377167%4.100638%68.466667%68.5%5,1355,218-20.937273%-9.454215%-10.433533%-4.583778%-30.391488%30.4%20.937273%10.433533%20.937273%20.9%1,7292,228-28.382673%-1.743813%-13.316792%-4.610459%-30.126485%30.1%28.382673%13.316792%28.382673%28.4%1,6971,572
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by County Subdivision in Dane County

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#16

Percentage of the population 25 years and older with given highest level of educational attainment
27%39%51%62%74%86%

Coarse: High School Diploma Educational Attainment by County Subdivision#17

Percentage of the population 25 years and older with given highest level of educational attainment
13%23%33%43%52%62%

Coarse: No High School Diploma Educational Attainment by County Subdivision#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.4%4.5%8.5%12.5%16.5%20.6%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.4%8.8%13.2%17.6%22.1%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.3%8.7%13.0%17.3%21.7%

Detailed: Master's Degree Educational Attainment by County Subdivision#21

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.4%8.8%13.3%17.7%22.2%

Detailed: Bachelor's Degree Educational Attainment by County Subdivision#22

Percentage of the population 25 years and older with given highest level of educational attainment
10%16%22%27%33%39%

Detailed: Associate's Degree Educational Attainment by County Subdivision#23

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.4%6.9%10.3%13.8%17.3%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
7.5%11.6%15.6%19.7%23.7%27.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6%14%21%29%36%44%

Detailed: Some High School Educational Attainment by County Subdivision#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.3%3.1%5.9%8.7%11.4%14.2%

Detailed: Less than High School Educational Attainment by County Subdivision#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.5%2.9%4.4%5.9%7.4%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.41%0.83%1.24%1.65%2.07%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Dane County

Coarse: Post-Secondary Degree Educational Attainment by Tract#29

Percentage of the population 25 years and older with given highest level of educational attainment
21%36%50%64%78%93%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
6%19%32%44%57%70%

Coarse: No High School Diploma Educational Attainment by Tract#31

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%12%19%25%32%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0%7%13%20%27%34%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.4%8.8%13.2%17.6%22.0%

Detailed: Master's Degree Educational Attainment by Tract#34

Percentage of the population 25 years and older with given highest level of educational attainment
2%10%17%24%31%39%

Detailed: Bachelor's Degree Educational Attainment by Tract#35

Percentage of the population 25 years and older with given highest level of educational attainment
11%19%25%32%39%46%

Detailed: Associate's Degree Educational Attainment by Tract#36

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.4%6.8%10.2%13.6%17.0%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
3%9%15%21%27%34%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#38

Percentage of the population 25 years and older with given highest level of educational attainment
0%7%15%22%30%38%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.5%7.0%10.5%13.9%17.5%

Detailed: Less than High School Educational Attainment by Tract#40

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.3%4.6%6.8%9.1%11.4%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.5%3.1%4.6%6.1%7.7%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Dane County

There are 28 places that are fully or partially contained within Dane County (24 fully and 4 partially). This section compares all 28 of those to each other, Dane County, and other entities that contain or substantially overlap with Dane County.

No H.S. Diploma by Place#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Dane County, selected places in Dane County, and entities that contain Dane County
0%5%10%Count#United States of AmericaUnited StatesMarshallEast North CentralMidwestDaneFitchburgWisconsinCottage GroveStoughtonEdgertonBlue MoundsBlack EarthMazomanieBrooklynMadison Metro AreaMadison AreaWindsorCross PlainsMadisonDane CountyDaneCambridgeSun PrairieMononaDeForestBellevilleDeerfieldMount HorebMiddletonMcFarlandRockdaleVeronaOregonWaunakeeShorewood HillsShorewood HlsMaple Bluff13.020590%13.020590%13.0%27,818,38027.8M12.413230%12.413230%12.4%304110.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M9.545455%9.545455%9.5%6328.662728%8.662728%8.7%1,61338.637220%8.637220%8.6%336,096336k8.020883%8.020883%8.0%33847.267179%7.267179%7.3%64357.113766%7.113766%7.1%26266.776860%6.776860%6.8%4175.846154%5.846154%5.8%5785.843072%5.843072%5.8%7095.411255%5.411255%5.4%50105.241862%5.241862%5.2%21,97222.0k5.076690%5.076690%5.1%235114.962406%4.962406%5.0%132124.836248%4.836248%4.8%7,351134.746468%4.746468%4.7%15,98916.0k4.309392%4.309392%4.3%39143.955766%3.955766%4.0%812153.407952%3.407952%3.4%204163.207877%3.207877%3.2%202173.045370%3.045370%3.0%49182.925046%2.925046%2.9%48192.778341%2.778341%2.8%137202.731305%2.731305%2.7%351212.149419%2.149419%2.1%124222.127660%2.127660%2.1%3231.932367%1.932367%1.9%152241.639866%1.639866%1.6%103251.194743%1.194743%1.2%100260.813609%0.813609%0.8%11270.454133%0.454133%0.5%528
Count number of people in category
# rank of place out of 28 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Dane County, selected places in Dane County, and entities that contain Dane County
0%20%40%60%80%Count#Shorewood HillsShorewood HlsMaple BluffVeronaMiddletonMadisonWaunakeeDane CountyDaneMononaFitchburgMcFarlandCambridgeWindsorMount HorebOregonMadison Metro AreaMadison AreaCottage GroveSun PrairieCross PlainsDeForestStoughtonDeerfieldRockdaleUnited States of AmericaUnited StatesBrooklynMidwestEast North CentralWisconsinBellevilleBlue MoundsMazomanieDaneBlack EarthEdgertonMarshall84.467456%84.467456%84.5%1,142173.751135%73.751135%73.8%812259.661836%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%2,924746.358754%46.358754%46.4%8,632845.969839%45.969839%46.0%2,652944.309392%44.309392%44.3%4011044.286023%44.286023%44.3%2,0501144.128980%44.128980%44.1%2,1761243.942047%43.942047%43.9%2,7601343.867317%43.867317%43.9%183,876184k42.240152%42.240152%42.2%1,7801441.077605%41.077605%41.1%8,4321538.233083%38.233083%38.2%1,0171634.937272%34.937272%34.9%2,2001734.900542%34.900542%34.9%3,0881833.759902%33.759902%33.8%5541932.624113%32.624113%32.6%462030.315023%30.315023%30.3%64,767,78764.8M29.004329%29.004329%29.0%2682128.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.340584%28.340584%28.3%4562225.950413%25.950413%26.0%1572324.791319%24.791319%24.8%2972424.090909%24.090909%24.1%1592523.487179%23.487179%23.5%2292623.051860%23.051860%23.1%8492712.576562%12.576562%12.6%30828
Count number of people in category
# rank of place out of 28 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#44

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 County, selected places in Dane County, and entities that contain Dane County
0%10%20%30%40%Count#Shorewood HillsShorewood HlsMaple BluffMiddletonMadisonVeronaFitchburgDane CountyDaneMadison Metro AreaMadison AreaWaunakeeMononaCottage GroveOregonWindsorCambridgeUnited States of AmericaUnited StatesSun PrairieMidwestEast North CentralWisconsinMcFarlandBellevilleRockdaleMount HorebDeForestMazomanieBrooklynStoughtonCross PlainsBlue MoundsBlack EarthDeerfieldDaneMarshallEdgerton43.713018%43.713018%43.7%591119.255223%19.255223%19.3%212210.022566%10.022566%10.0%1,28839.171173%9.171173%9.2%13,94013.9k47.653191%7.653191%7.7%60257.196563%7.196563%7.2%1,34066.978843%6.978843%7.0%23,50923.5k5.974750%5.974750%6.0%25,04425.0k5.651135%5.651135%5.7%47375.646509%5.646509%5.6%33885.220693%5.220693%5.2%22095.015125%5.015125%5.0%315104.903867%4.903867%4.9%227114.088398%4.088398%4.1%37123.336158%3.336158%3.3%7,127,6737.13M3.288352%3.288352%3.3%675132.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.565436%2.565436%2.6%148142.237415%2.237415%2.2%36152.127660%2.127660%2.1%3161.845467%1.845467%1.8%91171.778625%1.778625%1.8%112181.752922%1.752922%1.8%21191.731602%1.731602%1.7%16201.627486%1.627486%1.6%144211.503759%1.503759%1.5%40221.487603%1.487603%1.5%9231.230769%1.230769%1.2%12240.853138%0.853138%0.9%14250.606061%0.606061%0.6%4260.571662%0.571662%0.6%14270.434428%0.434428%0.4%1628
Count number of people in category
# rank of place out of 28 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 Place#45

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 County, selected places in Dane County, and entities that contain Dane County
Female
Male
0x5x10xFM#Maple BluffDeForestBellevilleDaneRockdaleEdgertonMarshallDeerfieldCottage GroveBlue MoundsMount HorebBrooklynMadison AreaWisconsinMadisonDaneMidwestMononaEast North CentralUnited StatesWindsorOregonMiddletonFitchburgSun PrairieShorewood HlsCambridgeStoughtonCross PlainsVeronaMcFarlandMazomanieBlack EarthWaunakee-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.911%0.91%1-1.000000x-1.000000x3.734169x3.734169x3.73x1.394%1.39%5.205%5.21%2-1.000000x-1.000000x3.301587x3.301587x3.30x1.442%1.44%4.762%4.76%3-1.000000x-1.000000x2.367647x2.367647x2.37x5.519%5.52%13.068%13.1%4-1.000000x-1.000000x1.971831x1.971831x1.97x1.429%1.43%2.817%2.82%5-1.000000x-1.000000x1.771759x1.771759x1.77x5.186%5.19%9.188%9.19%6-1.000000x-1.000000x1.738772x1.738772x1.74x9.134%9.13%15.882%15.9%7-1.000000x-1.000000x1.476903x1.476903x1.48x2.354%2.35%3.477%3.48%8-1.000000x-1.000000x1.469266x1.469266x1.47x6.528%6.53%9.591%9.59%9-1.000000x-1.000000x1.448049x1.448049x1.45x5.498%5.50%7.962%7.96%10-1.000000x-1.000000x1.259621x1.259621x1.26x2.461%2.46%3.100%3.10%11-1.000000x-1.000000x1.234735x1.234735x1.23x4.835%4.84%5.970%5.97%12-1.000000x-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-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%13-1.000000x-1.000000x1.187155x1.187155x1.19x4.348%4.35%5.162%5.16%-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%14-1.000000x-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%15-1.000000x-1.000000x1.043916x1.043916x1.04x1.608%1.61%1.678%1.68%16-1.000000x-1.000000x1.022109x1.022109x1.02x2.704%2.70%2.764%2.76%17-1.016031x-1.016031x1.02x1.000000x1.000000x8.734%8.73%8.596%8.60%18-1.022158x-1.022158x1.02x1.000000x1.000000x3.997%4.00%3.910%3.91%19-1.047091x-1.047091x1.05x1.000000x1.000000x0.831%0.83%0.794%0.79%20-1.128623x-1.128623x1.13x1.000000x1.000000x4.565%4.57%4.045%4.04%21-1.208941x-1.208941x1.21x1.000000x1.000000x7.876%7.88%6.515%6.52%22-1.288288x-1.288288x1.29x1.000000x1.000000x5.548%5.55%4.306%4.31%23-1.531489x-1.531489x1.53x1.000000x1.000000x2.297%2.30%1.500%1.50%24-1.748323x-1.748323x1.75x1.000000x1.000000x2.720%2.72%1.556%1.56%25-1.788020x-1.788020x1.79x1.000000x1.000000x7.488%7.49%4.188%4.19%26-1.808594x-1.808594x1.81x1.000000x1.000000x7.422%7.42%4.104%4.10%27-2.740398x-2.740398x2.74x1.000000x1.000000x1.694%1.69%0.618%0.62%28
F percentage of females in category
M percentage of males in category
# rank of place out of 28 by male-to-female sex ratio

Over-Education Sex Ratio by Place#46

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 County, selected places in Dane County, and entities that contain Dane County
Female
Male
10x5x0x5x10xFM#EdgertonBellevilleMaple BluffWaunakeeWindsorStoughtonMazomanieShorewood HlsDeForestFitchburgSun PrairieMcFarlandEast North CentralMidwestWisconsinUnited StatesCottage GroveMount HorebMiddletonDaneMadison AreaMadisonCross PlainsCambridgeBrooklynMononaDaneOregonBlue MoundsVeronaRockdaleMarshallDeerfieldBlack Earth-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.902%0.90%1-1.000000x-1.000000x5.353925x5.353925x5.35x0.721%0.72%3.861%3.86%2-1.000000x-1.000000x2.378003x2.378003x2.38x11.413%11.4%27.140%27.1%3-1.000000x-1.000000x2.325820x2.325820x2.33x3.499%3.50%8.138%8.14%4-1.000000x-1.000000x2.114151x2.114151x2.11x3.151%3.15%6.661%6.66%5-1.000000x-1.000000x2.057239x2.057239x2.06x1.105%1.10%2.273%2.27%6-1.000000x-1.000000x2.013400x2.013400x2.01x1.165%1.16%2.345%2.35%7-1.000000x-1.000000x1.864212x1.864212x1.86x31.163%31.2%58.095%58.1%8-1.000000x-1.000000x1.835169x1.835169x1.84x1.273%1.27%2.336%2.34%9-1.000000x-1.000000x1.808864x1.808864x1.81x5.081%5.08%9.190%9.19%10-1.000000x-1.000000x1.806537x1.806537x1.81x2.381%2.38%4.302%4.30%11-1.000000x-1.000000x1.708502x1.708502x1.71x1.904%1.90%3.253%3.25%12-1.000000x-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-1.000000x1.490739x1.490739x1.49x4.213%4.21%6.280%6.28%13-1.000000x-1.000000x1.475530x1.475530x1.48x1.493%1.49%2.202%2.20%14-1.000000x-1.000000x1.452651x1.452651x1.45x8.299%8.30%12.055%12.1%15-1.000000x-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%16-1.000000x-1.000000x1.370370x1.370370x1.37x1.280%1.28%1.754%1.75%17-1.000000x-1.000000x1.356742x1.356742x1.36x3.478%3.48%4.719%4.72%18-1.000000x-1.000000x1.247335x1.247335x1.25x1.538%1.54%1.919%1.92%19-1.000000x-1.000000x1.163055x1.163055x1.16x5.248%5.25%6.104%6.10%20-1.142857x-1.142857x1.14x1.000000x1.000000x0.649%0.65%0.568%0.57%21-1.205414x-1.205414x1.21x1.000000x1.000000x5.437%5.44%4.510%4.51%22-1.348797x-1.348797x1.35x1.000000x1.000000x1.718%1.72%1.274%1.27%23-1.734884x-1.734884x1.73x1.000000x1.000000x9.494%9.49%5.472%5.47%24-2.028571x-2.028571x2.03x1.000000x1.000000x2.857%2.86%1.408%1.41%25-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.112%1.11%0.000%0%26-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.735%1.73%0.000%0%27-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.344%2.34%0.000%0%28
F percentage of females in category
M percentage of males in category
# rank of place out of 28 by male-to-female sex ratio

Educational Attainment by County Subdivision in Dane County

There are 61 county subdivisions in Dane County. This section compares the 50 most populous of those to each other, Dane County, and other entities that contain or substantially overlap with Dane County. The least populous of the compared county subdivisions has a population of 1,043.

No H.S. Diploma by County Subdivision#47

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Dane County, selected county subdivisions in Dane County, and entities that contain Dane County
0%5%10%15%20%Count#Town of MadisonMadisonUnited States of AmericaUnited StatesMarshallTown of Sun PrairieSun PrairieEast North CentralMidwestDaneFitchburgWisconsinTown of MedinaMedinaCottage GroveStoughtonTown of DeerfieldDeerfieldBlack EarthMazomanieTown of MazomanieMazomanieTown of BurkeMadison Metro AreaMadison AreaTown of SpringfieldSpringfieldWindsorCross PlainsMadisonDane CountyDaneTown of AlbionAlbionTown of DunkirkDunkirkCambridgeTown of RoxburyRoxburyTown of ViennaViennaSun PrairieTown of Pleasant SpringsPleasant SpgsTown of SpringdaleSpringdaleTown of ChristianaChristianaTown of BristolBristolTown of Blooming GroveBlooming GrvTown of Cross PlainsCross PlainsMononaTown of RutlandRutlandDeForestDeerfieldTown of MiddletonMiddletonMount HorebTown of MontroseMontroseMiddletonTown of Cottage GroveCottage GrvBellevilleTown of BerryMcFarlandVeronaTown of WestportWestportTown of DunnOregonTown of OregonOregonWaunakeeTown of VeronaVeronaShorewood HillsShorewood HlsMaple Bluff20.556309%20.556309%20.6%909113.020590%13.020590%13.0%27,818,38027.8M12.413230%12.413230%12.4%304211.393939%11.393939%11.4%188310.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M9.545455%9.545455%9.5%6348.662728%8.662728%8.7%1,61358.637220%8.637220%8.6%336,096336k8.333333%8.333333%8.3%7768.020883%8.020883%8.0%33877.267179%7.267179%7.3%64385.852843%5.852843%5.9%7095.846154%5.846154%5.8%57105.843072%5.843072%5.8%70115.706522%5.706522%5.7%42125.311502%5.311502%5.3%133135.241862%5.241862%5.2%21,97222.0k5.083909%5.083909%5.1%103145.076690%5.076690%5.1%235154.962406%4.962406%5.0%132164.836248%4.836248%4.8%7,351174.746468%4.746468%4.7%15,98916.0k4.741684%4.741684%4.7%67184.350417%4.350417%4.4%73194.277457%4.277457%4.3%37204.051013%4.051013%4.1%54213.989592%3.989592%4.0%46223.955766%3.955766%4.0%812233.873094%3.873094%3.9%94243.871829%3.871829%3.9%58253.804348%3.804348%3.8%35263.553099%3.553099%3.6%90273.448276%3.448276%3.4%46283.410982%3.410982%3.4%41293.407952%3.407952%3.4%204303.379310%3.379310%3.4%49313.207877%3.207877%3.2%202322.925046%2.925046%2.9%48332.821242%2.821242%2.8%119342.778341%2.778341%2.8%137352.732919%2.732919%2.7%22362.731305%2.731305%2.7%351372.503526%2.503526%2.5%71382.431373%2.431373%2.4%31392.192982%2.192982%2.2%20402.149419%2.149419%2.1%124411.932367%1.932367%1.9%152421.882210%1.882210%1.9%62431.875617%1.875617%1.9%76441.639866%1.639866%1.6%103451.308017%1.308017%1.3%31461.194743%1.194743%1.2%100471.061410%1.061410%1.1%14480.813609%0.813609%0.8%11490.454133%0.454133%0.5%550
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#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Dane County, selected county subdivisions in Dane County, and entities that contain Dane County
0%20%40%60%80%Count#Shorewood HillsShorewood HlsMaple BluffTown of MiddletonMiddletonVeronaMiddletonMadisonTown of VeronaVeronaWaunakeeDane CountyDaneMononaTown of BristolBristolFitchburgTown of WestportWestportMcFarlandTown of OregonOregonCambridgeTown of SpringdaleSpringdaleWindsorMount HorebOregonMadison Metro AreaMadison AreaCottage GroveTown of Cross PlainsCross PlainsSun PrairieTown of MontroseMontroseTown of SpringfieldSpringfieldTown of Pleasant SpringsPleasant SpgsCross PlainsTown of BurkeTown of DunnTown of RutlandRutlandTown of BerryTown of ViennaViennaDeForestStoughtonDeerfieldTown of DeerfieldDeerfieldTown of Cottage GroveCottage GrvUnited States of AmericaUnited StatesTown of MazomanieMazomanieMidwestTown of MadisonMadisonTown of Blooming GroveBlooming GrvEast North CentralWisconsinTown of RoxburyRoxburyTown of DunkirkDunkirkTown of ChristianaChristianaBellevilleTown of Sun PrairieSun PrairieMazomanieDaneBlack EarthTown of MedinaMedinaTown of AlbionAlbionMarshall84.467456%84.467456%84.5%1,142173.751135%73.751135%73.8%812265.670934%65.670934%65.7%2,770359.661836%59.661836%59.7%4,693458.898140%58.898140%58.9%7,569556.337583%56.337583%56.3%85,63285.6k651.554208%51.554208%51.6%680750.561529%50.561529%50.6%4,232849.026156%49.026156%49.0%165,150165k48.847310%48.847310%48.8%2,924946.821950%46.821950%46.8%1,1861046.358754%46.358754%46.4%8,6321146.114147%46.114147%46.1%1,5191245.969839%45.969839%46.0%2,6521345.907173%45.907173%45.9%1,0881444.508671%44.508671%44.5%3851544.459279%44.459279%44.5%6661644.286023%44.286023%44.3%2,0501744.128980%44.128980%44.1%2,1761843.942047%43.942047%43.9%2,7601943.867317%43.867317%43.9%183,876184k42.240152%42.240152%42.2%1,7802041.347754%41.347754%41.3%4972141.077605%41.077605%41.1%8,4322239.875776%39.875776%39.9%3212339.486673%39.486673%39.5%8002438.895756%38.895756%38.9%9442538.233083%38.233083%38.2%1,0172637.300319%37.300319%37.3%9342737.290227%37.290227%37.3%1,5112837.034483%37.034483%37.0%5372936.403509%36.403509%36.4%3323035.906331%35.906331%35.9%4143134.937272%34.937272%34.9%2,2003234.900542%34.900542%34.9%3,0883333.759902%33.759902%33.8%5543432.441472%32.441472%32.4%3883532.263752%32.263752%32.3%9153630.315023%30.315023%30.3%64,767,78764.8M29.347826%29.347826%29.3%2163728.952816%28.952816%29.0%13,118,64213.1M28.742650%28.742650%28.7%1,2713828.710645%28.710645%28.7%3833928.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.681920%27.681920%27.7%3694026.877235%26.877235%26.9%4514126.195652%26.195652%26.2%2414225.725490%25.725490%25.7%3284325.393939%25.393939%25.4%4194424.791319%24.791319%24.8%2974524.090909%24.090909%24.1%1594623.487179%23.487179%23.5%2294722.619048%22.619048%22.6%2094821.939137%21.939137%21.9%3104912.576562%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#49

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 County, selected county subdivisions in Dane County, and entities that contain Dane County
0%10%20%30%40%Count#Shorewood HillsShorewood HlsMaple BluffTown of MiddletonMiddletonMiddletonMadisonTown of VeronaVeronaTown of WestportWestportTown of Cross PlainsCross PlainsVeronaFitchburgDane CountyDaneTown of OregonOregonMadison Metro AreaMadison AreaTown of SpringfieldSpringfieldTown of SpringdaleSpringdaleWaunakeeMononaTown of BerryCottage GroveTown of RutlandRutlandOregonWindsorTown of DunnTown of BristolBristolCambridgeUnited States of AmericaUnited StatesSun PrairieTown of MazomanieMazomanieTown of MontroseMontroseTown of MadisonMadisonTown of BurkeMidwestEast North CentralWisconsinTown of RoxburyRoxburyTown of ViennaViennaMcFarlandTown of Pleasant SpringsPleasant SpgsTown of DeerfieldDeerfieldTown of Sun PrairieSun PrairieBellevilleTown of Blooming GroveBlooming GrvTown of DunkirkDunkirkMount HorebDeForestMazomanieTown of AlbionAlbionTown of ChristianaChristianaStoughtonCross PlainsBlack EarthTown of Cottage GroveCottage GrvTown of MedinaMedinaDeerfieldDaneMarshall43.713018%43.713018%43.7%591119.255223%19.255223%19.3%212215.576102%15.576102%15.6%657310.022566%10.022566%10.0%1,28849.171173%9.171173%9.2%13,94013.9k58.567096%8.567096%8.6%11367.802064%7.802064%7.8%25777.737105%7.737105%7.7%9387.653191%7.653191%7.7%60297.196563%7.196563%7.2%1,340106.978843%6.978843%7.0%23,50923.5k5.991561%5.991561%6.0%142115.974750%5.974750%6.0%25,04425.0k5.923001%5.923001%5.9%120125.674232%5.674232%5.7%85135.651135%5.651135%5.7%473145.646509%5.646509%5.6%338155.592105%5.592105%5.6%51165.220693%5.220693%5.2%220175.034483%5.034483%5.0%73185.015125%5.015125%5.0%315194.903867%4.903867%4.9%227204.244817%4.244817%4.2%172213.829451%3.829451%3.8%97223.699422%3.699422%3.7%32233.336158%3.336158%3.3%7,127,6737.13M3.288352%3.288352%3.3%675243.260870%3.260870%3.3%24253.105590%3.105590%3.1%25262.985075%2.985075%3.0%132272.915335%2.915335%2.9%73282.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.700675%2.700675%2.7%36292.601908%2.601908%2.6%30302.565436%2.565436%2.6%148312.472188%2.472188%2.5%60322.424749%2.424749%2.4%29332.363636%2.363636%2.4%39342.352941%2.352941%2.4%30352.173913%2.173913%2.2%29361.966627%1.966627%2.0%33371.845467%1.845467%1.8%91381.778625%1.778625%1.8%112391.752922%1.752922%1.8%21401.698514%1.698514%1.7%24411.630435%1.630435%1.6%15421.627486%1.627486%1.6%144431.503759%1.503759%1.5%40441.230769%1.230769%1.2%12451.198872%1.198872%1.2%34460.974026%0.974026%1.0%9470.853138%0.853138%0.9%14480.606061%0.606061%0.6%4490.571662%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#50

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 County, selected county subdivisions in Dane County, and entities that contain Dane County
Female
Male
0x5x10xFM#Town of DunnMaple BluffBristolCottage GrvTown of BurkeSpringdaleDeForestBellevilleMontroseDeerfieldDaneRutlandOregonViennaChristianaMarshallMedinaBlooming GrvRoxburySun PrairieDunkirkDeerfieldCottage GroveAlbionMount HorebMadison AreaWisconsinMiddletonMadisonDaneSpringfieldMidwestMononaEast North CentralUnited StatesWindsorOregonMiddletonFitchburgSun PrairieMadisonShorewood HlsStoughtonCambridgeCross PlainsVeronaCross PlainsMazomanieVeronaMcFarlandMazomanieBlack EarthPleasant SpgsTown of BerryWaunakeeWestport-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.628%3.63%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.911%0.91%2-1.000000x-1.000000x6.273080x6.273080x6.27x0.965%0.96%6.051%6.05%3-1.000000x-1.000000x5.779362x5.779362x5.78x0.754%0.75%4.357%4.36%4-1.000000x-1.000000x5.126702x5.126702x5.13x1.743%1.74%8.937%8.94%5-1.000000x-1.000000x3.762346x3.762346x3.76x1.617%1.62%6.085%6.08%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-1.000000x2.965116x2.965116x2.97x1.333%1.33%3.953%3.95%9-1.000000x-1.000000x2.431022x2.431022x2.43x3.244%3.24%7.887%7.89%10-1.000000x-1.000000x2.367647x2.367647x2.37x5.519%5.52%13.068%13.1%11-1.000000x-1.000000x2.139053x2.139053x2.14x2.131%2.13%4.558%4.56%12-1.000000x-1.000000x2.128547x2.128547x2.13x0.838%0.84%1.784%1.78%13-1.000000x-1.000000x2.034653x2.034653x2.03x2.622%2.62%5.336%5.34%14-1.000000x-1.000000x1.883621x1.883621x1.88x2.632%2.63%4.957%4.96%15-1.000000x-1.000000x1.738772x1.738772x1.74x9.134%9.13%15.882%15.9%16-1.000000x-1.000000x1.563011x1.563011x1.56x6.540%6.54%10.222%10.2%17-1.000000x-1.000000x1.545589x1.545589x1.55x2.734%2.73%4.225%4.23%18-1.000000x-1.000000x1.541917x1.541917x1.54x3.155%3.15%4.864%4.86%19-1.000000x-1.000000x1.536810x1.536810x1.54x8.981%8.98%13.801%13.8%20-1.000000x-1.000000x1.517754x1.517754x1.52x3.436%3.44%5.214%5.21%21-1.000000x-1.000000x1.476903x1.476903x1.48x2.354%2.35%3.477%3.48%22-1.000000x-1.000000x1.469266x1.469266x1.47x6.528%6.53%9.591%9.59%23-1.000000x-1.000000x1.347347x1.347347x1.35x4.012%4.01%5.405%5.41%24-1.000000x-1.000000x1.259621x1.259621x1.26x2.461%2.46%3.100%3.10%25-1.000000x-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-1.000000x1.211415x1.211415x1.21x2.544%2.54%3.082%3.08%26-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%27-1.000000x-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%28-1.000000x-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%29-1.000000x-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%30-1.000000x-1.000000x1.043916x1.043916x1.04x1.608%1.61%1.678%1.68%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%36-1.208941x-1.208941x1.21x1.000000x1.000000x7.876%7.88%6.515%6.52%37-1.285469x-1.285469x1.29x1.000000x1.000000x4.805%4.81%3.738%3.74%38-1.288288x-1.288288x1.29x1.000000x1.000000x5.548%5.55%4.306%4.31%39-1.335357x-1.335357x1.34x1.000000x1.000000x1.214%1.21%0.909%0.91%40-1.356680x-1.356680x1.36x1.000000x1.000000x3.945%3.95%2.908%2.91%41-1.465439x-1.465439x1.47x1.000000x1.000000x6.718%6.72%4.585%4.58%42-1.531489x-1.531489x1.53x1.000000x1.000000x2.297%2.30%1.500%1.50%43-1.748323x-1.748323x1.75x1.000000x1.000000x2.720%2.72%1.556%1.56%44-1.788020x-1.788020x1.79x1.000000x1.000000x7.488%7.49%4.188%4.19%45-1.808594x-1.808594x1.81x1.000000x1.000000x7.422%7.42%4.104%4.10%46-2.297687x-2.297687x2.30x1.000000x1.000000x5.370%5.37%2.337%2.34%47-2.343590x-2.343590x2.34x1.000000x1.000000x3.077%3.08%1.313%1.31%48-2.740398x-2.740398x2.74x1.000000x1.000000x1.694%1.69%0.618%0.62%49-3.660958x-3.660958x3.66x1.000000x1.000000x2.932%2.93%0.801%0.80%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#51

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 County, selected county subdivisions in Dane County, and entities that contain Dane County
Female
Male
10x5x0x5x10xFM#BellevillePleasant SpgsChristianaSpringdaleMaple BluffWaunakeeWindsorStoughtonMazomanieVeronaCottage GrvShorewood HlsDeForestRutlandFitchburgSun PrairieDeerfieldMcFarlandTown of BerryEast North CentralMidwestWisconsinUnited StatesAlbionCambridgeCottage GroveMount HorebMiddletonMiddletonSpringfieldDaneMadison AreaMadisonCross PlainsMontroseTown of DunnCross PlainsWestportMononaSun PrairieOregonBlooming GrvDaneOregonRoxburyTown of BurkeBristolMazomanieVeronaDunkirkMadisonViennaMarshallDeerfieldBlack EarthMedina-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.975%4.98%1-1.000000x-1.000000x6.668197x6.668197x6.67x0.651%0.65%4.341%4.34%2-1.000000x-1.000000x3.931034x3.931034x3.93x0.658%0.66%2.586%2.59%3-1.000000x-1.000000x3.653292x3.653292x3.65x2.426%2.43%8.862%8.86%4-1.000000x-1.000000x2.378003x2.378003x2.38x11.413%11.4%27.140%27.1%5-1.000000x-1.000000x2.325820x2.325820x2.33x3.499%3.50%8.138%8.14%6-1.000000x-1.000000x2.114151x2.114151x2.11x3.151%3.15%6.661%6.66%7-1.000000x-1.000000x2.057239x2.057239x2.06x1.105%1.10%2.273%2.27%8-1.000000x-1.000000x2.013400x2.013400x2.01x1.165%1.16%2.345%2.35%9-1.000000x-1.000000x1.970694x1.970694x1.97x5.766%5.77%11.364%11.4%10-1.000000x-1.000000x1.942508x1.942508x1.94x0.822%0.82%1.598%1.60%11-1.000000x-1.000000x1.864212x1.864212x1.86x31.163%31.2%58.095%58.1%12-1.000000x-1.000000x1.835169x1.835169x1.84x1.273%1.27%2.336%2.34%13-1.000000x-1.000000x1.811903x1.811903x1.81x3.551%3.55%6.434%6.43%14-1.000000x-1.000000x1.808864x1.808864x1.81x5.081%5.08%9.190%9.19%15-1.000000x-1.000000x1.806537x1.806537x1.81x2.381%2.38%4.302%4.30%16-1.000000x-1.000000x1.732804x1.732804x1.73x1.718%1.72%2.976%2.98%17-1.000000x-1.000000x1.708502x1.708502x1.71x1.904%1.90%3.253%3.25%18-1.000000x-1.000000x1.676840x1.676840x1.68x4.176%4.18%7.002%7.00%19-1.000000x-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%20-1.000000x-1.000000x1.492272x1.492272x1.49x2.975%2.97%4.439%4.44%21-1.000000x-1.000000x1.490739x1.490739x1.49x4.213%4.21%6.280%6.28%22-1.000000x-1.000000x1.475530x1.475530x1.48x1.493%1.49%2.202%2.20%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-1.000000x1.308140x1.308140x1.31x2.667%2.67%3.488%3.49%29-1.000000x-1.000000x1.297401x1.297401x1.30x3.679%3.68%4.773%4.77%30-1.000000x-1.000000x1.247940x1.247940x1.25x6.861%6.86%8.562%8.56%31-1.000000x-1.000000x1.193961x1.193961x1.19x7.121%7.12%8.503%8.50%32-1.000000x-1.000000x1.163055x1.163055x1.16x5.248%5.25%6.104%6.10%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%35-1.131599x-1.131599x1.13x1.000000x1.000000x2.302%2.30%2.034%2.03%36-1.142857x-1.142857x1.14x1.000000x1.000000x0.649%0.65%0.568%0.57%37-1.205414x-1.205414x1.21x1.000000x1.000000x5.437%5.44%4.510%4.51%38-1.232232x-1.232232x1.23x1.000000x1.000000x2.997%3.00%2.432%2.43%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%41-1.503015x-1.503015x1.50x1.000000x1.000000x3.876%3.88%2.579%2.58%42-1.734884x-1.734884x1.73x1.000000x1.000000x9.494%9.49%5.472%5.47%43-1.853067x-1.853067x1.85x1.000000x1.000000x2.577%2.58%1.390%1.39%44-2.320000x-2.320000x2.32x1.000000x1.000000x4.328%4.33%1.866%1.87%45-4.062937x-4.062937x4.06x1.000000x1.000000x4.196%4.20%1.033%1.03%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.112%1.11%0.000%0%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.735%1.73%0.000%0%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.344%2.34%0.000%0%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.899%1.90%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 in the Madison Area

There are 4 counties in the Madison Area. This section compares Dane County to all of the counties in the Madison Area and to those entities that contain or substantially overlap with Dane County.

No H.S. Diploma by County#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Dane County, selected other counties in the Madison Area, and entities that contain Dane County
0%5%10%Count#United States of AmericaUnited StatesEast North CentralMidwestWisconsinGreen CountyGreenColumbia CountyColumbiaIowa CountyIowaMadison Metro AreaMadison AreaDane CountyDane13.020590%13.020590%13.0%27,818,38027.8M10.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M8.637220%8.637220%8.6%336,096336k7.788090%7.788090%7.8%2,01417.225680%7.225680%7.2%2,87926.566661%6.566661%6.6%1,09035.241862%5.241862%5.2%21,97222.0k4.746468%4.746468%4.7%15,98916.0k4
Count number of people in category
# rank of county out of 4 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Dane County, selected other counties in the Madison Area, and entities that contain Dane County
0%10%20%30%40%Count#Dane CountyDaneMadison Metro AreaMadison AreaUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinIowa CountyIowaGreen CountyGreenColumbia CountyColumbia49.026156%49.026156%49.0%165,150165k143.867317%43.867317%43.9%183,876184k30.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M23.037532%23.037532%23.0%3,824222.687548%22.687548%22.7%5,867322.675936%22.675936%22.7%9,0354
Count number of people in category
# rank of county out of 4 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#54

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 County, selected other counties in the Madison Area, and entities that contain Dane County
0%1%2%3%4%5%6%Count#Dane CountyDaneMadison Metro AreaMadison AreaUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinIowa CountyIowaGreen CountyGreenColumbia CountyColumbia6.978843%6.978843%7.0%23,50923.5k15.974750%5.974750%6.0%25,04425.0k3.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.012169%2.012169%2.0%33421.956690%1.956690%2.0%50631.744303%1.744303%1.7%6954
Count number of people in category
# rank of county out of 4 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#55

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 County, selected other counties in the Madison Area, and entities that contain Dane County
Female
Male
1x0x1xFM#GreenIowaColumbiaMadison AreaWisconsinDaneMidwestEast North CentralUnited States-1.000000x-1.000000x1.408297x1.408297x1.41x6.491%6.49%9.141%9.14%1-1.000000x-1.000000x1.317393x1.317393x1.32x5.673%5.67%7.473%7.47%2-1.000000x-1.000000x1.312059x1.312059x1.31x6.240%6.24%8.187%8.19%3-1.000000x-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%4-1.000000x-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-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%
F percentage of females in category
M percentage of males in category
# rank of county out of 4 by male-to-female sex ratio

Over-Education Sex Ratio by County#56

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 County, selected other counties in the Madison Area, and entities that contain Dane County
Female
Male
1x0x1xFM#ColumbiaEast North CentralMidwestWisconsinUnited StatesGreenDaneMadison AreaIowa-1.000000x-1.000000x1.632754x1.632754x1.63x1.321%1.32%2.157%2.16%1-1.000000x-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-1.000000x1.519133x1.519133x1.52x1.560%1.56%2.370%2.37%2-1.000000x-1.000000x1.404212x1.404212x1.40x5.827%5.83%8.182%8.18%3-1.000000x-1.000000x1.400349x1.400349x1.40x4.993%4.99%6.992%6.99%-1.000000x-1.000000x1.129194x1.129194x1.13x1.891%1.89%2.135%2.14%4
F percentage of females in category
M percentage of males in category
# rank of county out of 4 by male-to-female sex ratio

Educational Attainment by County in Wisconsin

There are 72 counties in Wisconsin. This section compares Dane County to the 50 most populous counties in Wisconsin and to those entities that contain or substantially overlap with Dane County. The least populous of the compared counties has a population of 20,566.

No H.S. Diploma by County#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Dane County, selected other counties in Wisconsin, and entities that contain Dane County
0%5%10%15%Count#Clark CountyClarkJuneau CountyJuneauWaushara CountyWausharaMilwaukee CountyMilwaukeeUnited States of AmericaUnited StatesVernon CountyVernonJackson CountyJacksonRacine CountyRacineDodge CountyDodgeEast North CentralRock CountyRockTrempealeau CountyTrempealeauMidwestBarron CountyBarronKenosha CountyKenoshaMonroe CountyMonroeLincoln CountyLincolnOconto CountyOcontoShawano CountyShawanoWaupaca CountyWaupacaSauk CountySaukManitowoc CountyManitowocWalworth CountyWalworthJefferson CountyJeffersonMarathon CountyMarathonWisconsinMarinette CountyMarinetteGrant CountyGrantBrown CountyBrownFond du Lac CountyFond du LacSheboygan CountySheboyganOneida CountyOneidaWinnebago CountyWinnebagoChippewa CountyChippewaGreen CountyGreenWood CountyWoodVilas CountyVilasCalumet CountyCalumetColumbia CountyColumbiaPolk CountyPolkDunn CountyDunnEau Claire CountyEau ClairePortage CountyPortageIowa CountyIowaOutagamie CountyOutagamieDouglas CountyDouglasDoor CountyDoorWashington CountyWashingtonLa Crosse CountyLa CrossePierce CountyPierceMadison Metro AreaMadison AreaDane CountyDaneSt. Croix CountySt. CroixWaukesha CountyWaukeshaOzaukee CountyOzaukee18.376088%18.376088%18.4%3,990113.948397%13.948397%13.9%2,676213.760962%13.760962%13.8%2,495313.092854%13.092854%13.1%81,52281.5k413.020590%13.020590%13.0%27,818,38027.8M11.937598%11.937598%11.9%2,441511.792912%11.792912%11.8%1,697611.170104%11.170104%11.2%14,74814.7k710.956491%10.956491%11.0%6,905810.719464%10.719464%10.7%3,363,7843.36M10.591406%10.591406%10.6%11,47611.5k910.579732%10.579732%10.6%2,1371010.244520%10.244520%10.2%4,641,8354.64M10.080658%10.080658%10.1%3,2621110.003168%10.003168%10.0%11,05311.1k129.792887%9.792887%9.8%2,993139.699758%9.699758%9.7%2,003149.607260%9.607260%9.6%2,615159.364060%9.364060%9.4%2,755169.145423%9.145423%9.1%3,401179.112219%9.112219%9.1%4,004189.100310%9.100310%9.1%5,192199.074810%9.074810%9.1%6,098208.872860%8.872860%8.9%5,068218.851943%8.851943%8.9%8,210228.637220%8.637220%8.6%336,096336k8.627217%8.627217%8.6%2,598238.619607%8.619607%8.6%2,745248.601954%8.601954%8.6%14,60514.6k258.427102%8.427102%8.4%5,939268.367242%8.367242%8.4%6,683277.965352%7.965352%8.0%2,161287.893714%7.893714%7.9%8,936297.879569%7.879569%7.9%3,486307.788090%7.788090%7.8%2,014317.658332%7.658332%7.7%3,988327.548309%7.548309%7.5%1,250337.361483%7.361483%7.4%2,446347.225680%7.225680%7.2%2,879357.209656%7.209656%7.2%2,228367.133617%7.133617%7.1%1,930376.868874%6.868874%6.9%4,373386.784049%6.784049%6.8%3,040396.566661%6.566661%6.6%1,090406.470675%6.470675%6.5%7,873416.427874%6.427874%6.4%1,974426.365714%6.365714%6.4%1,365436.072757%6.072757%6.1%5,649445.474767%5.474767%5.5%4,066455.314614%5.314614%5.3%1,359465.241862%5.241862%5.2%21,97222.0k4.746468%4.746468%4.7%15,98916.0k474.242959%4.242959%4.2%2,454484.116150%4.116150%4.1%11,37011.4k493.651213%3.651213%3.7%2,21350
Count number of people in category
# rank of county 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#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Dane County, selected other counties in Wisconsin, and entities that contain Dane County
0%10%20%30%40%Count#Dane CountyDaneOzaukee CountyOzaukeeMadison Metro AreaMadison AreaWaukesha CountyWaukeshaSt. Croix CountySt. CroixLa Crosse CountyLa CrosseDoor CountyDoorEau Claire CountyEau ClaireUnited States of AmericaUnited StatesPortage CountyPortageMilwaukee CountyMilwaukeeWashington CountyWashingtonMidwestCalumet CountyCalumetEast North CentralWisconsinBrown CountyBrownWalworth CountyWalworthPierce CountyPierceOutagamie CountyOutagamieWinnebago CountyWinnebagoVilas CountyVilasDunn CountyDunnOneida CountyOneidaKenosha CountyKenoshaRacine CountyRacineMarathon CountyMarathonSheboygan CountySheboyganJefferson CountyJeffersonIowa CountyIowaDouglas CountyDouglasGreen CountyGreenColumbia CountyColumbiaSauk CountySaukFond du Lac CountyFond du LacGrant CountyGrantVernon CountyVernonRock CountyRockWood CountyWoodManitowoc CountyManitowocPolk CountyPolkChippewa CountyChippewaTrempealeau CountyTrempealeauBarron CountyBarronMonroe CountyMonroeWaupaca CountyWaupacaDodge CountyDodgeOconto CountyOcontoLincoln CountyLincolnShawano CountyShawanoWaushara CountyWausharaMarinette CountyMarinetteJackson CountyJacksonJuneau CountyJuneauClark CountyClark49.026156%49.026156%49.0%165,150165k146.663917%46.663917%46.7%28,28328.3k243.867317%43.867317%43.9%183,876184k41.623436%41.623436%41.6%114,976115k333.399035%33.399035%33.4%19,31719.3k432.470243%32.470243%32.5%24,11524.1k531.324908%31.324908%31.3%6,717630.750503%30.750503%30.8%19,57719.6k730.315023%30.315023%30.3%64,767,78764.8M30.305059%30.305059%30.3%13,58013.6k829.748251%29.748251%29.7%185,226185k929.422072%29.422072%29.4%27,36927.4k1028.952816%28.952816%29.0%13,118,64213.1M28.702561%28.702561%28.7%9,5371128.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.243623%28.243623%28.2%47,95448.0k1227.818206%27.818206%27.8%18,69318.7k1327.816667%27.816667%27.8%7,1131427.785357%27.785357%27.8%33,80733.8k1526.886859%26.886859%26.9%30,43730.4k1626.811594%26.811594%26.8%4,4401726.627241%26.627241%26.6%7,2041826.247696%26.247696%26.2%7,1211924.646364%24.646364%24.6%27,23327.2k2023.972400%23.972400%24.0%31,65131.7k2123.939061%23.939061%23.9%22,20322.2k2223.621840%23.621840%23.6%18,86718.9k2323.470710%23.470710%23.5%13,40613.4k2423.037532%23.037532%23.0%3,8242522.777597%22.777597%22.8%6,9952622.687548%22.687548%22.7%5,8672722.675936%22.675936%22.7%9,0352822.323115%22.323115%22.3%9,8092921.924087%21.924087%21.9%15,45115.5k3021.337060%21.337060%21.3%6,7953121.214789%21.214789%21.2%4,3383220.765653%20.765653%20.8%22,50022.5k3320.382533%20.382533%20.4%10,61410.6k3419.658914%19.658914%19.7%11,21611.2k3519.600039%19.600039%19.6%6,0573619.278497%19.278497%19.3%8,5293719.253428%19.253428%19.3%3,8893818.214407%18.214407%18.2%5,8943918.178844%18.178844%18.2%5,5564017.664300%17.664300%17.7%6,5694116.254641%16.254641%16.3%10,24410.2k4216.194570%16.194570%16.2%4,4084315.961259%15.961259%16.0%3,2964415.597702%15.597702%15.6%4,5894515.084662%15.084662%15.1%2,7354614.508202%14.508202%14.5%4,3694713.870744%13.870744%13.9%1,9964812.921553%12.921553%12.9%2,4794911.476995%11.476995%11.5%2,49250
Count number of people in category
# rank of county 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#59

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 County, selected other counties in Wisconsin, and entities that contain Dane County
0%2%4%6%Count#Dane CountyDaneMadison Metro AreaMadison AreaOzaukee CountyOzaukeeLa Crosse CountyLa CrosseWaukesha CountyWaukeshaUnited States of AmericaUnited StatesDoor CountyDoorEau Claire CountyEau ClairePortage CountyPortageMilwaukee CountyMilwaukeeMidwestEast North CentralDunn CountyDunnWisconsinVilas CountyVilasSt. Croix CountySt. CroixOneida CountyOneidaWalworth CountyWalworthWood CountyWoodGrant CountyGrantMarathon CountyMarathonBrown CountyBrownWinnebago CountyWinnebagoIowa CountyIowaGreen CountyGreenBarron CountyBarronVernon CountyVernonOutagamie CountyOutagamieKenosha CountyKenoshaPierce CountyPierceSauk CountySaukColumbia CountyColumbiaJefferson CountyJeffersonWashington CountyWashingtonRacine CountyRacineRock CountyRockDouglas CountyDouglasChippewa CountyChippewaSheboygan CountySheboyganFond du Lac CountyFond du LacPolk CountyPolkMonroe CountyMonroeCalumet CountyCalumetMarinette CountyMarinetteDodge CountyDodgeShawano CountyShawanoLincoln CountyLincolnOconto CountyOcontoManitowoc CountyManitowocWaupaca CountyWaupacaJackson CountyJacksonJuneau CountyJuneauTrempealeau CountyTrempealeauWaushara CountyWausharaClark CountyClark6.978843%6.978843%7.0%23,50923.5k15.974750%5.974750%6.0%25,04425.0k5.805973%5.805973%5.8%3,51924.130985%4.130985%4.1%3,06833.942743%3.942743%3.9%10,89110.9k43.336158%3.336158%3.3%7,127,6737.13M3.143217%3.143217%3.1%67453.130498%3.130498%3.1%1,99363.030506%3.030506%3.0%1,35872.985811%2.985811%3.0%18,59118.6k82.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.786916%2.786916%2.8%75492.703886%2.703886%2.7%105,215105k2.644928%2.644928%2.6%438102.636720%2.636720%2.6%1,525112.631773%2.631773%2.6%714122.573032%2.573032%2.6%1,729132.536775%2.536775%2.5%1,321142.213779%2.213779%2.2%705152.197352%2.197352%2.2%2,038162.072008%2.072008%2.1%3,518172.028197%2.028197%2.0%2,296182.012169%2.012169%2.0%334191.956690%1.956690%2.0%506201.912914%1.912914%1.9%619211.907277%1.907277%1.9%390221.866494%1.866494%1.9%2,271231.856193%1.856193%1.9%2,051241.849752%1.849752%1.8%473251.847932%1.847932%1.8%812261.744303%1.744303%1.7%695271.735005%1.735005%1.7%991281.704973%1.704973%1.7%1,586291.651885%1.651885%1.7%2,181301.557885%1.557885%1.6%1,688311.549984%1.549984%1.5%476321.491829%1.491829%1.5%660331.476130%1.476130%1.5%1,179341.464349%1.464349%1.5%1,032351.459405%1.459405%1.5%451361.456009%1.456009%1.5%445371.390435%1.390435%1.4%462381.321644%1.321644%1.3%398391.304306%1.304306%1.3%822401.291594%1.291594%1.3%380411.099274%1.099274%1.1%227421.076454%1.076454%1.1%293431.074440%1.074440%1.1%613441.070238%1.070238%1.1%398451.063238%1.063238%1.1%153461.042481%1.042481%1.0%200470.955493%0.955493%1.0%193480.932105%0.932105%0.9%169490.801363%0.801363%0.8%17450
Count number of people in category
# rank of county 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#60

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 County, selected other counties in Wisconsin, and entities that contain Dane County
Female
Male
1x0x1xFM#LincolnGrantDoorWinnebagoTrempealeauPierceChippewaJacksonShawanoGreenMonroeManitowocOcontoJuneauWaupacaClarkDouglasRacineSaukIowaPolkWalworthColumbiaOutagamieOneidaVilasDunnKenoshaFond du LacDodgePortageBrownWoodMadison AreaWisconsinBarronCalumetMarathonRockDaneWausharaWaukeshaSheboyganMidwestWashingtonEast North CentralMilwaukeeUnited StatesVernonJeffersonEau ClaireMarinetteSt. CroixLa CrosseOzaukee-1.000000x-1.000000x1.701366x1.701366x1.70x7.198%7.20%12.247%12.2%1-1.000000x-1.000000x1.611247x1.611247x1.61x6.600%6.60%10.635%10.6%2-1.000000x-1.000000x1.599739x1.599739x1.60x4.927%4.93%7.882%7.88%3-1.000000x-1.000000x1.548094x1.548094x1.55x6.189%6.19%9.581%9.58%4-1.000000x-1.000000x1.543397x1.543397x1.54x8.305%8.31%12.818%12.8%5-1.000000x-1.000000x1.493476x1.493476x1.49x4.256%4.26%6.357%6.36%6-1.000000x-1.000000x1.457826x1.457826x1.46x6.371%6.37%9.288%9.29%7-1.000000x-1.000000x1.449841x1.449841x1.45x9.497%9.50%13.769%13.8%8-1.000000x-1.000000x1.432451x1.432451x1.43x7.710%7.71%11.044%11.0%9-1.000000x-1.000000x1.408297x1.408297x1.41x6.491%6.49%9.141%9.14%10-1.000000x-1.000000x1.405780x1.405780x1.41x8.136%8.14%11.438%11.4%11-1.000000x-1.000000x1.389119x1.389119x1.39x7.638%7.64%10.610%10.6%12-1.000000x-1.000000x1.374304x1.374304x1.37x8.070%8.07%11.091%11.1%13-1.000000x-1.000000x1.372407x1.372407x1.37x11.643%11.6%15.979%16.0%14-1.000000x-1.000000x1.345859x1.345859x1.35x7.796%7.80%10.492%10.5%15-1.000000x-1.000000x1.344554x1.344554x1.34x15.666%15.7%21.064%21.1%16-1.000000x-1.000000x1.343519x1.343519x1.34x5.497%5.50%7.385%7.39%17-1.000000x-1.000000x1.324710x1.324710x1.32x9.652%9.65%12.786%12.8%18-1.000000x-1.000000x1.317657x1.317657x1.32x7.885%7.89%10.390%10.4%19-1.000000x-1.000000x1.317393x1.317393x1.32x5.673%5.67%7.473%7.47%20-1.000000x-1.000000x1.317139x1.317139x1.32x6.222%6.22%8.196%8.20%21-1.000000x-1.000000x1.312179x1.312179x1.31x7.868%7.87%10.324%10.3%22-1.000000x-1.000000x1.312059x1.312059x1.31x6.240%6.24%8.187%8.19%23-1.000000x-1.000000x1.304911x1.304911x1.30x5.628%5.63%7.345%7.34%24-1.000000x-1.000000x1.304731x1.304731x1.30x6.919%6.92%9.027%9.03%25-1.000000x-1.000000x1.271978x1.271978x1.27x6.646%6.65%8.453%8.45%26-1.000000x-1.000000x1.264913x1.264913x1.26x6.297%6.30%7.965%7.96%27-1.000000x-1.000000x1.259401x1.259401x1.26x8.885%8.88%11.190%11.2%28-1.000000x-1.000000x1.243849x1.243849x1.24x7.537%7.54%9.375%9.37%29-1.000000x-1.000000x1.242121x1.242121x1.24x9.722%9.72%12.076%12.1%30-1.000000x-1.000000x1.236850x1.236850x1.24x6.069%6.07%7.506%7.51%31-1.000000x-1.000000x1.236680x1.236680x1.24x7.707%7.71%9.531%9.53%32-1.000000x-1.000000x1.235773x1.235773x1.24x6.872%6.87%8.492%8.49%33-1.000000x-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-1.000000x1.205037x1.205037x1.21x9.154%9.15%11.030%11.0%34-1.000000x-1.000000x1.202432x1.202432x1.20x6.690%6.69%8.044%8.04%35-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%36-1.000000x-1.000000x1.191494x1.191494x1.19x9.696%9.70%11.553%11.6%37-1.000000x-1.000000x1.187155x1.187155x1.19x4.348%4.35%5.162%5.16%38-1.000000x-1.000000x1.183552x1.183552x1.18x12.548%12.5%14.851%14.9%39-1.000000x-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%40-1.000000x-1.000000x1.140135x1.140135x1.14x7.823%7.82%8.920%8.92%41-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127252x1.127252x1.13x5.716%5.72%6.443%6.44%42-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%43-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.106354x1.106354x1.11x11.340%11.3%12.546%12.5%44-1.000000x-1.000000x1.074639x1.074639x1.07x8.559%8.56%9.197%9.20%45-1.000000x-1.000000x1.070745x1.070745x1.07x6.639%6.64%7.109%7.11%46-1.000000x-1.000000x1.047262x1.047262x1.05x8.430%8.43%8.828%8.83%47-1.000000x-1.000000x1.019047x1.019047x1.02x4.203%4.20%4.283%4.28%48-1.003452x-1.003452x1.00x1.000000x1.000000x5.484%5.48%5.465%5.47%49-1.036965x-1.036965x1.04x1.000000x1.000000x3.715%3.71%3.582%3.58%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#61

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 County, selected other counties in Wisconsin, and entities that contain Dane County
Female
Male
1x0x1x2xFM#PortageJuneauOneidaWinnebagoSheboyganLincolnEau ClaireFond du LacPolkClarkSaukWaupacaOzaukeeWoodManitowocShawanoVilasSt. CroixWalworthMarinetteRockBrownDunnWaukeshaDouglasBarronCalumetJeffersonGrantLa CrosseRacineColumbiaEast North CentralMidwestWisconsinKenoshaUnited StatesGreenTrempealeauMilwaukeeMonroeWausharaDoorOutagamieMarathonDanePierceMadison AreaWashingtonVernonDodgeIowaOcontoChippewaJackson-1.000000x-1.000000x2.277540x2.277540x2.28x1.853%1.85%4.219%4.22%1-1.000000x-1.000000x2.264652x2.264652x2.26x0.623%0.62%1.412%1.41%2-1.000000x-1.000000x2.218029x2.218029x2.22x1.640%1.64%3.637%3.64%3-1.000000x-1.000000x2.174213x2.174213x2.17x1.275%1.28%2.773%2.77%4-1.000000x-1.000000x2.031853x2.031853x2.03x0.976%0.98%1.984%1.98%5-1.000000x-1.000000x2.023351x2.023351x2.02x0.729%0.73%1.476%1.48%6-1.000000x-1.000000x2.013470x2.013470x2.01x2.093%2.09%4.215%4.21%7-1.000000x-1.000000x1.953821x1.953821x1.95x1.002%1.00%1.957%1.96%8-1.000000x-1.000000x1.945823x1.945823x1.95x0.991%0.99%1.928%1.93%9-1.000000x-1.000000x1.933595x1.933595x1.93x0.546%0.55%1.055%1.06%10-1.000000x-1.000000x1.895621x1.895621x1.90x1.285%1.28%2.435%2.43%11-1.000000x-1.000000x1.880009x1.880009x1.88x0.743%0.74%1.397%1.40%12-1.000000x-1.000000x1.872688x1.872688x1.87x4.090%4.09%7.659%7.66%13-1.000000x-1.000000x1.814669x1.814669x1.81x1.818%1.82%3.299%3.30%14-1.000000x-1.000000x1.806143x1.806143x1.81x0.769%0.77%1.390%1.39%15-1.000000x-1.000000x1.801551x1.801551x1.80x0.924%0.92%1.665%1.66%16-1.000000x-1.000000x1.794571x1.794571x1.79x1.894%1.89%3.398%3.40%17-1.000000x-1.000000x1.774639x1.774639x1.77x1.907%1.91%3.384%3.38%18-1.000000x-1.000000x1.769950x1.769950x1.77x1.867%1.87%3.304%3.30%19-1.000000x-1.000000x1.739302x1.739302x1.74x0.967%0.97%1.683%1.68%20-1.000000x-1.000000x1.733327x1.733327x1.73x1.151%1.15%1.995%2.00%21-1.000000x-1.000000x1.733262x1.733262x1.73x1.524%1.52%2.641%2.64%22-1.000000x-1.000000x1.701002x1.701002x1.70x2.062%2.06%3.507%3.51%23-1.000000x-1.000000x1.695850x1.695850x1.70x2.951%2.95%5.005%5.00%24-1.000000x-1.000000x1.676561x1.676561x1.68x1.162%1.16%1.949%1.95%25-1.000000x-1.000000x1.674221x1.674221x1.67x1.435%1.44%2.403%2.40%26-1.000000x-1.000000x1.653118x1.653118x1.65x1.050%1.05%1.736%1.74%27-1.000000x-1.000000x1.652660x1.652660x1.65x1.313%1.31%2.170%2.17%28-1.000000x-1.000000x1.647269x1.647269x1.65x1.672%1.67%2.754%2.75%29-1.000000x-1.000000x1.645663x1.645663x1.65x3.144%3.14%5.174%5.17%30-1.000000x-1.000000x1.641913x1.641913x1.64x1.260%1.26%2.069%2.07%31-1.000000x-1.000000x1.632754x1.632754x1.63x1.321%1.32%2.157%2.16%32-1.000000x-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-1.000000x1.529626x1.529626x1.53x1.477%1.48%2.259%2.26%33-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.519133x1.519133x1.52x1.560%1.56%2.370%2.37%34-1.000000x-1.000000x1.514826x1.514826x1.51x0.759%0.76%1.149%1.15%35-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%36-1.000000x-1.000000x1.489534x1.489534x1.49x1.169%1.17%1.741%1.74%37-1.000000x-1.000000x1.474810x1.474810x1.47x0.746%0.75%1.100%1.10%38-1.000000x-1.000000x1.464487x1.464487x1.46x2.563%2.56%3.754%3.75%39-1.000000x-1.000000x1.455713x1.455713x1.46x1.525%1.53%2.220%2.22%40-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%41-1.000000x-1.000000x1.404212x1.404212x1.40x5.827%5.83%8.182%8.18%42-1.000000x-1.000000x1.403843x1.403843x1.40x1.537%1.54%2.158%2.16%43-1.000000x-1.000000x1.400349x1.400349x1.40x4.993%4.99%6.992%6.99%-1.000000x-1.000000x1.374225x1.374225x1.37x1.441%1.44%1.980%1.98%44-1.000000x-1.000000x1.357719x1.357719x1.36x1.620%1.62%2.199%2.20%45-1.000000x-1.000000x1.235296x1.235296x1.24x1.161%1.16%1.434%1.43%46-1.000000x-1.000000x1.129194x1.129194x1.13x1.891%1.89%2.135%2.14%47-1.000000x-1.000000x1.084340x1.084340x1.08x1.032%1.03%1.119%1.12%48-1.000000x-1.000000x1.080157x1.080157x1.08x1.432%1.43%1.547%1.55%49-1.147189x-1.147189x1.15x1.000000x1.000000x1.142%1.14%0.995%1.00%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Educational Attainment by County in the United States

There are 3,142 counties in the United States. This section compares Dane County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Dane County. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Dane County, selected other counties in the United States, and entities that contain Dane County
0%5%10%15%20%25%Count#Bronx CountyBronxFresno CountyFresnoLos Angeles CountyLos AngelesDallas CountyDallasSan Bernardino CountySan BernardinoKings CountyKingsHarris CountyHarrisRiverside CountyRiversideMiami-Dade CountyMiami-DadeQueens CountyQueensPhiladelphia CountyPhiladelphiaBexar CountyBexarOrange CountyOrangeClark CountyClarkWayne CountyWayneTarrant CountyTarrantCook CountyCookSan Diego CountySan DiegoSacramento CountySacramentoMilwaukee CountyMilwaukeeMaricopa CountyMaricopaUnited States of AmericaUnited StatesNew York CountyNew YorkSanta Clara CountySanta ClaraAlameda CountyAlamedaWestchester CountyWestchesterOrange CountyOrangePima CountyPimaHillsborough CountyHillsboroughPalm Beach CountyPalm BeachTravis CountyTravisBroward CountyBrowardCuyahoga CountyCuyahogaContra Costa CountyContra CostaEast North CentralMecklenburg CountyMecklenburgMidwestSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkFranklin CountyFranklinNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonWisconsinFairfax CountyFairfaxWake CountyWakeKing CountyKingMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny CountyAlleghenyMadison Metro AreaMadison AreaDane CountyDane28.837398%28.837398%28.8%261,022261k126.224410%26.224410%26.2%151,875152k222.282470%22.282470%22.3%1,495,6171.50M321.975765%21.975765%22.0%349,434349k421.207718%21.207718%21.2%274,381274k520.017506%20.017506%20.0%351,046351k619.839074%19.839074%19.8%554,024554k719.521191%19.521191%19.5%286,746287k819.375775%19.375775%19.4%362,252362k919.344706%19.344706%19.3%315,505316k1017.390838%17.390838%17.4%180,039180k1116.576437%16.576437%16.6%194,124194k1215.490423%15.490423%15.5%325,372325k1315.108430%15.108430%15.1%210,261210k1414.881687%14.881687%14.9%173,869174k1514.774230%14.774230%14.8%182,543183k1614.189351%14.189351%14.2%503,252503k1713.598133%13.598133%13.6%293,959294k1813.220947%13.220947%13.2%129,386129k1913.092854%13.092854%13.1%81,52281.5k2013.051927%13.051927%13.1%348,801349k2113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2212.928824%12.928824%12.9%166,105166k2312.700590%12.700590%12.7%141,393141k2412.397264%12.397264%12.4%81,98182.0k2512.319191%12.319191%12.3%101,664102k2612.252238%12.252238%12.3%81,21881.2k2712.196236%12.196236%12.2%108,416108k2812.054893%12.054893%12.1%122,162122k2911.841956%11.841956%11.8%90,92190.9k3011.688725%11.688725%11.7%152,462152k3111.473065%11.473065%11.5%100,034100k3210.940787%10.940787%10.9%82,37182.4k3310.719464%10.719464%10.7%3,363,7843.36M10.377895%10.377895%10.4%69,51069.5k3410.244520%10.244520%10.2%4,641,8354.64M10.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k369.992975%9.992975%10.0%102,414102k379.640656%9.640656%9.6%78,29978.3k389.121758%9.121758%9.1%85,26785.3k398.945780%8.945780%8.9%60,28460.3k408.836226%8.836226%8.8%62,20562.2k418.677323%8.677323%8.7%57,57157.6k428.637220%8.637220%8.6%336,096336k8.282040%8.282040%8.3%63,67163.7k437.696387%7.696387%7.7%50,50850.5k447.543133%7.543133%7.5%110,490110k457.360151%7.360151%7.4%80,37880.4k467.173605%7.173605%7.2%59,66059.7k477.049887%7.049887%7.0%48,46648.5k486.540987%6.540987%6.5%56,30256.3k496.132273%6.132273%6.1%53,97454.0k505.241862%5.241862%5.2%21,97222.0k4.746468%4.746468%4.7%15,98916.0k
Count number of people in category
# rank of county 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#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Dane County, selected other counties in the United States, and entities that contain Dane County
0%20%40%60%Count#New York CountyNew YorkFairfax CountyFairfaxMontgomery CountyMontgomeryMiddlesex CountyMiddlesexWake CountyWakeFulton CountyFultonSanta Clara CountySanta ClaraKing CountyKingDane CountyDaneHennepin CountyHennepinWestchester CountyWestchesterTravis CountyTravisFairfield CountyFairfieldOakland CountyOaklandAlameda CountyAlamedaMadison Metro AreaMadison AreaNassau CountyNassauMecklenburg CountyMecklenburgSt. Louis CountySt. LouisContra Costa CountyContra CostaAllegheny CountyAlleghenyOrange CountyOrangeFranklin CountyFranklinSan Diego CountySan DiegoCook CountyCookSuffolk CountySuffolkPalm Beach CountyPalm BeachKings CountyKingsHonolulu CountyHonoluluSalt Lake CountySalt LakeOrange CountyOrangeHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMidwestEast North CentralWisconsinMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronx60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k849.026156%49.026156%49.0%165,150165k47.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.867317%43.867317%43.9%183,876184k43.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2334.384794%34.384794%34.4%352,396352k2434.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.350646%33.350646%33.4%224,744225k2732.800693%32.800693%32.8%221,734222k2831.922850%31.922850%31.9%263,443263k2931.433296%31.433296%31.4%279,420279k3031.015731%31.015731%31.0%404,554405k3130.968863%30.968863%31.0%827,615828k3230.891280%30.891280%30.9%269,342269k3330.800609%30.800609%30.8%204,172204k3430.764105%30.764105%30.8%2,064,9112.06M3530.734653%30.734653%30.7%379,742380k3630.595789%30.595789%30.6%499,006499k3730.315023%30.315023%30.3%64,767,78764.8M30.076273%30.076273%30.1%839,907840k3829.748251%29.748251%29.7%185,226185k3929.683200%29.683200%29.7%471,989472k4029.283682%29.283682%29.3%286,583287k4128.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.349720%26.349720%26.3%272,786273k4422.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k50
Count number of people in category
# rank of county 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#64

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 County, selected other counties in the United States, and entities that contain Dane County
0%5%10%Count#Montgomery CountyMontgomeryNew York CountyNew YorkMiddlesex CountyMiddlesexFairfax CountyFairfaxWestchester CountyWestchesterDane CountyDaneSanta Clara CountySanta ClaraMadison Metro AreaMadison AreaNassau CountyNassauAlameda CountyAlamedaFulton CountyFultonKing CountyKingFairfield CountyFairfieldSt. Louis CountySt. LouisOakland CountyOaklandHennepin CountyHennepinTravis CountyTravisAllegheny CountyAlleghenyContra Costa CountyContra CostaWake CountyWakeSan Diego CountySan DiegoPalm Beach CountyPalm BeachOrange CountyOrangeFranklin CountyFranklinCook CountyCookCuyahoga CountyCuyahogaPima CountyPimaHonolulu CountyHonoluluSuffolk CountySuffolkMiami-Dade CountyMiami-DadeSalt Lake CountySalt LakePhiladelphia CountyPhiladelphiaLos Angeles CountyLos AngelesMecklenburg CountyMecklenburgBroward CountyBrowardHillsborough CountyHillsboroughKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesSacramento CountySacramentoMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeMidwestEast North CentralBexar CountyBexarQueens CountyQueensWisconsinFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoBronx CountyBronx12.399695%12.399695%12.4%87,29187.3k110.788423%10.788423%10.8%133,520134k28.541485%8.541485%8.5%93,27993.3k37.784891%7.784891%7.8%59,84959.8k47.604460%7.604460%7.6%50,28750.3k56.978843%6.978843%7.0%23,50923.5k6.177550%6.177550%6.2%79,36779.4k65.974750%5.974750%6.0%25,04425.0k5.833659%5.833659%5.8%54,53154.5k75.762347%5.762347%5.8%64,15164.2k85.719518%5.719518%5.7%37,94737.9k95.673632%5.673632%5.7%83,10683.1k105.463614%5.463614%5.5%34,77034.8k115.244723%5.244723%5.2%36,05636.1k125.214131%5.214131%5.2%44,88144.9k135.193709%5.193709%5.2%43,19443.2k145.061951%5.061951%5.1%38,86538.9k155.039180%5.039180%5.0%44,35344.4k164.956168%4.956168%5.0%37,31437.3k174.892146%4.892146%4.9%32,10532.1k184.749001%4.749001%4.7%102,662103k194.475020%4.475020%4.5%45,34945.3k204.348784%4.348784%4.3%91,34591.3k214.335519%4.335519%4.3%35,21235.2k224.239617%4.239617%4.2%150,366150k234.184410%4.184410%4.2%36,48436.5k244.139192%4.139192%4.1%27,43827.4k253.970725%3.970725%4.0%26,75826.8k263.962200%3.962200%4.0%40,60740.6k273.784527%3.784527%3.8%70,75670.8k283.768025%3.768025%3.8%25,47225.5k293.720350%3.720350%3.7%38,51538.5k303.604427%3.604427%3.6%241,932242k313.598297%3.598297%3.6%24,10124.1k323.517075%3.517075%3.5%45,87545.9k333.474402%3.474402%3.5%30,88530.9k343.384967%3.384967%3.4%59,36259.4k353.344637%3.344637%3.3%93,40293.4k363.336158%3.336158%3.3%7,127,6737.13M3.266254%3.266254%3.3%31,96532.0k373.113482%3.113482%3.1%83,20583.2k383.037379%3.037379%3.0%48,29748.3k392.990491%2.990491%3.0%24,67924.7k402.985811%2.985811%3.0%18,59118.6k412.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.818073%2.818073%2.8%33,00233.0k422.756960%2.756960%2.8%44,96545.0k432.703886%2.703886%2.7%105,215105k2.392530%2.392530%2.4%13,85613.9k442.368743%2.368743%2.4%29,26729.3k452.315475%2.315475%2.3%32,22432.2k462.260473%2.260473%2.3%33,20433.2k472.178386%2.178386%2.2%25,45125.5k481.852789%1.852789%1.9%23,97124.0k491.664253%1.664253%1.7%15,06415.1k50
Count number of people in category
# rank of county 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#65

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 County, selected other counties in the United States, and entities that contain Dane County
Female
Male
1x0x1xFM#MecklenburgPalm BeachMadison AreaWisconsinDaneWakeWestchesterFairfieldContra CostaHillsboroughFresnoMidwestEast North CentralDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%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-1.000000x1.180227x1.180227x1.18x7.089%7.09%8.367%8.37%3-1.000000x-1.000000x1.161379x1.161379x1.16x11.523%11.5%13.383%13.4%4-1.000000x-1.000000x1.158198x1.158198x1.16x9.397%9.40%10.884%10.9%5-1.000000x-1.000000x1.145263x1.145263x1.15x10.231%10.2%11.718%11.7%6-1.000000x-1.000000x1.132218x1.132218x1.13x11.472%11.5%12.989%13.0%7-1.000000x-1.000000x1.130389x1.130389x1.13x24.647%24.6%27.860%27.9%8-1.000000x-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-1.000000x1.120951x1.120951x1.12x20.762%20.8%23.273%23.3%9-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%10-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%11-1.000000x-1.000000x1.109962x1.109962x1.11x14.154%14.2%15.710%15.7%12-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101852x1.101852x1.10x11.740%11.7%12.936%12.9%13-1.000000x-1.000000x1.098530x1.098530x1.10x18.925%18.9%20.790%20.8%14-1.000000x-1.000000x1.090368x1.090368x1.09x8.321%8.32%9.073%9.07%15-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%16-1.000000x-1.000000x1.084622x1.084622x1.08x20.369%20.4%22.092%22.1%17-1.000000x-1.000000x1.079174x1.079174x1.08x14.234%14.2%15.361%15.4%18-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%19-1.000000x-1.000000x1.072566x1.072566x1.07x12.608%12.6%13.523%13.5%20-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%21-1.000000x-1.000000x1.066137x1.066137x1.07x11.462%11.5%12.220%12.2%22-1.000000x-1.000000x1.065180x1.065180x1.07x11.337%11.3%12.076%12.1%23-1.000000x-1.000000x1.064463x1.064463x1.06x18.923%18.9%20.143%20.1%24-1.000000x-1.000000x1.062700x1.062700x1.06x6.352%6.35%6.750%6.75%25-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%26-1.000000x-1.000000x1.061606x1.061606x1.06x9.934%9.93%10.546%10.5%27-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%28-1.000000x-1.000000x1.056584x1.056584x1.06x12.873%12.9%13.601%13.6%29-1.000000x-1.000000x1.048432x1.048432x1.05x8.640%8.64%9.059%9.06%30-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%31-1.000000x-1.000000x1.025105x1.025105x1.03x7.273%7.27%7.455%7.46%32-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%33-1.000000x-1.000000x1.016052x1.016052x1.02x8.218%8.22%8.350%8.35%34-1.000000x-1.000000x1.009187x1.009187x1.01x16.504%16.5%16.655%16.7%35-1.000000x-1.000000x1.001235x1.001235x1.00x12.245%12.2%12.260%12.3%36-1.004399x-1.004399x1.00x1.000000x1.000000x7.560%7.56%7.526%7.53%37-1.004399x-1.004399x1.00x1.000000x1.000000x22.330%22.3%22.232%22.2%38-1.008231x-1.008231x1.01x1.000000x1.000000x15.170%15.2%15.046%15.0%39-1.015422x-1.015422x1.02x1.000000x1.000000x15.605%15.6%15.368%15.4%40-1.015859x-1.015859x1.02x1.000000x1.000000x7.101%7.10%6.990%6.99%41-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%42-1.022059x-1.022059x1.02x1.000000x1.000000x19.576%19.6%19.154%19.2%43-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%44-1.029280x-1.029280x1.03x1.000000x1.000000x12.877%12.9%12.511%12.5%45-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%46-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%47-1.097207x-1.097207x1.10x1.000000x1.000000x14.217%14.2%12.958%13.0%48-1.110312x-1.110312x1.11x1.000000x1.000000x13.602%13.6%12.250%12.3%49-1.156494x-1.156494x1.16x1.000000x1.000000x9.584%9.58%8.287%8.29%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#66

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 County, selected other counties in the United States, and entities that contain Dane County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldEast North CentralAlleghenyMidwestNassauWisconsinBrowardClarkFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisDaneMadison AreaLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%11-1.000000x-1.000000x1.619416x1.619416x1.62x1.734%1.73%2.808%2.81%12-1.000000x-1.000000x1.609547x1.609547x1.61x2.346%2.35%3.776%3.78%13-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%14-1.000000x-1.000000x1.602206x1.602206x1.60x1.838%1.84%2.945%2.95%15-1.000000x-1.000000x1.600562x1.600562x1.60x4.251%4.25%6.804%6.80%16-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.566566x1.566566x1.57x2.842%2.84%4.452%4.45%22-1.000000x-1.000000x1.562801x1.562801x1.56x6.111%6.11%9.551%9.55%23-1.000000x-1.000000x1.545600x1.545600x1.55x1.736%1.74%2.683%2.68%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.513974x1.513974x1.51x4.919%4.92%7.447%7.45%25-1.000000x-1.000000x1.510882x1.510882x1.51x4.604%4.60%6.956%6.96%26-1.000000x-1.000000x1.494007x1.494007x1.49x4.011%4.01%5.992%5.99%27-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%28-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%3.16%4.473%4.47%34-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%35-1.000000x-1.000000x1.407975x1.407975x1.41x4.203%4.20%5.918%5.92%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-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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Demographics

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More Maps to Explore

Principal City:
Madison
Cities:
Edgerton, Fitchburg, Madison, Middleton, Monona, Stoughton, Sun Prairie, Verona
Towns:
Albion, Berry, Black Earth, Blooming Grove, Blue Mounds, Bristol, Burke, Christiana, Cottage Grove, Cross Plains, Dane, Deerfield, Dunkirk, Dunn, Madison, Mazomanie, Medina, Middleton, Montrose, Oregon, Perry, Pleasant Springs, Primrose, Roxbury, Rutland, Springdale, Springfield, Sun Prairie, Vermont, Verona, Vienna, Westport, York
Villages:
Belleville, Black Earth, Blue Mounds, Brooklyn, Cambridge, Cottage Grove, Cross Plains, Dane, DeForest, Deerfield, Maple Bluff, Marshall, Mazomanie, McFarland, Mount Horeb, Oregon, Rockdale, Shorewood Hills, Waunakee, Windsor
ZIP Codes:
53508, 53515, 53516, 53517, 53521, 53523, 53527, 53528, 53529, 53531, 53532, 53534, 53544, 53555, 53558, 53559, 53560, 53562, 53571, 53572, 53574, 53575, 53583, 53589, 53590, 53593, 53594, 53597, 53598, 53703, 53704, 53705, 53706, 53711, 53713, 53714, 53715, 53716, 53717, 53718, 53719, 53726, 53792, 53911, 53925, 53960
Unified School Districts:
Barneveld, Belleville, Cambridge, Columbus, DeForest, Deerfield, Edgerton, Evansville, Fort Atkinson, Lodi, Madison, Marshall, McFarland, Middleton-Cross Plains, Monona Grove, Mount Horeb, New Glarus, Oregon, Pecatonica, Poynette, River Valley, Sauk Prairie, Stoughton, Sun Prairie, Verona, Waterloo, Waunakee, Wisconsin Heights
Congressional District:
WI-2
State Senate Districts:
WI-13, WI-14, WI-15, WI-16, WI-26, WI-27
Assembly Districts:
WI-37, WI-38, WI-42, WI-43, WI-46, WI-47, WI-48, WI-76, WI-77, WI-78, WI-79, WI-80, WI-81
Neighboring Counties:
Columbia, Dodge, Green, Iowa, Jefferson, Rock, Sauk
Nearby Counties:
Boone, Green Lake, Lafayette, Marquette, Stephenson, Walworth, Winnebago