Educational Attainment in Milwaukee, Milwaukee County, Wisconsin (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Milwaukee County and Milwaukee
Milwaukee
Milwaukee County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma230.564128%37.465008%30.564128%30.6%111,523112k51.950768%49.442138%51.950768%52.0%189,559190k17.485105%13.092854%17.485105%17.5%63,80063.8k
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 Milwaukee County at large.
Scope: population of Milwaukee County and Milwaukee
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-18.419536%-18.419536%-18.4%30.564%30.6%37.465%37.5%5.073870%5.073870%+5.1%51.951%52.0%49.442%49.4%33.546933%33.546933%+33.5%17.485%17.5%13.093%13.1%
% percentage with given level in Milwaukee
ref. percentage with given level in Milwaukee County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Milwaukee County and Milwaukee
Milwaukee
Milwaukee County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.808481%1.164548%0.808481%0.8%2,9501.234646%1.821263%1.234646%1.2%4,5056.066345%7.552939%6.066345%6.1%22,13522.1k15.408269%19.209501%15.408269%15.4%56,22256.2k7.046388%7.716757%7.046388%7.0%25,71125.7k22.312419%21.525107%22.312419%22.3%81,41481.4k29.638349%27.917031%29.638349%29.6%108,145108k11.157580%8.488465%11.157580%11.2%40,71240.7k4.327700%3.119755%4.327700%4.3%15,79115.8k1.999825%1.484634%1.999825%2.0%7,297
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 Milwaukee County at large.
Scope: population of Milwaukee County and Milwaukee
-20%0%+20%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-30.575593%-30.575593%-30.6%0.808%0.81%1.165%1.16%-32.209349%-32.209349%-32.2%1.235%1.23%1.821%1.82%-19.682334%-19.682334%-19.7%6.066%6.07%7.553%7.55%-19.788293%-19.788293%-19.8%15.408%15.4%19.210%19.2%-8.687188%-8.687188%-8.7%7.046%7.05%7.717%7.72%3.657646%3.657646%+3.7%22.312%22.3%21.525%21.5%6.165833%6.165833%+6.2%29.638%29.6%27.917%27.9%31.444028%31.444028%+31.4%11.158%11.2%8.488%8.49%38.719231%38.719231%+38.7%4.328%4.33%3.120%3.12%34.701513%34.701513%+34.7%2.000%2.00%1.485%1.48%
% percentage with given level in Milwaukee
ref. percentage with given level in Milwaukee County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Milwaukee County and Milwaukee
More Females More Males
Milwaukee County
Milwaukee
10%5%0%5%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-11.938511%-5.736445%-11.938511%12%32.171%32.2%28.740%28.7%2.694205%1.435259%2.694205%3%51.303%51.3%52.686%52.7%12.398432%11.101296%12.398432%12%16.526%16.5%18.574%18.6%
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 Milwaukee County and Milwaukee
More Females More Males
Milwaukee County
Milwaukee
40%20%0%20%40%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None42.504244%41.183942%42.504244%43%0.674%0.67%0.961%0.96%33.295273%54.685369%33.295273%33%1.068%1.07%1.424%1.42%-40.959987%-25.089758%-40.959987%41%7.022%7.02%4.982%4.98%-8.733323%-5.741409%-8.733323%9%16.011%16.0%14.725%14.7%-11.233594%-7.202553%-11.233594%11%7.396%7.40%6.649%6.65%-8.071465%-2.303568%-8.071465%8%23.121%23.1%21.394%21.4%11.031970%4.367805%11.031970%11%28.182%28.2%31.291%31.3%12.164803%14.024522%12.164803%12%10.556%10.6%11.840%11.8%23.060819%9.179945%23.060819%23%3.906%3.91%4.807%4.81%-7.053188%-0.672341%-7.053188%7%2.063%2.06%1.928%1.93%
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 Milwaukee County and Milwaukee
Milwaukee
Milwaukee County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3410.204543%12.570578%10.204543%10.2%5,86257,44557.4k12.054086%17.008996%12.054086%12.1%15,89515.9k131,864132k15.975831%20.529209%15.975831%16.0%11,89811.9k74,47574.5k22.321905%26.449637%22.321905%22.3%22,56722.6k101,098101k
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 Milwaukee County at large.
Scope: population of Milwaukee County and Milwaukee
25%20%15%10%5%0%%ref.65+45-6435-4425-34-18.822001%-18.822001%18.8%10.205%10.2%12.571%12.6%-29.131115%-29.131115%29.1%12.054%12.1%17.009%17.0%-22.179999%-22.179999%22.2%15.976%16.0%20.529%20.5%-15.606006%-15.606006%15.6%22.322%22.3%26.450%26.4%
% percentage in Milwaukee with a Bachelor's degree
ref percentage in Milwaukee County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Milwaukee County and Milwaukee
More Females More Males
Milwaukee County
Milwaukee
15%10%5%0%5%10%FM65+45-6435-4425-342.756762%12.604498%2.756762%2.8%10.090%10.1%10.368%10.4%-12.174420%-7.624074%-12.174420%12.2%12.718%12.7%11.338%11.3%-19.801726%-9.159450%-19.801726%19.8%17.342%17.3%14.475%14.5%-7.470030%-14.917892%-7.470030%7.5%23.089%23.1%21.484%21.5%
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 Milwaukee County and Milwaukee
Milwaukee
Milwaukee County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$56,818.000000$61,819.000000$56,818.000000$56.8k29,59029.6k8.109%8.11%$43,172.000000$47,021.000000$43,172.000000$43.2k56,22256.2k15.408%15.4%$28,462.000000$31,302.000000$28,462.000000$28.5k107,125107k29.359%29.4%$25,318.000000$27,290.000000$25,318.000000$25.3k108,145108k29.638%29.6%$20,306.000000$20,853.000000$20,306.000000$20.3k63,80063.8k17.485%17.5%$30,727.000000$35,364.000000$30,727.000000$30.7k364,882365k100.000%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 Milwaukee County and Milwaukee
Female Male
Milwaukee County
Milwaukee
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-53,994.000000$-55,738.000000$-53,994.000000$54.0k$53,994.000000$8,138.000000$55,738.000000$13,799.000000$62,132.000000$62.1k17,00217.0k12,58812.6k$-40,890.000000$-41,982.000000$-40,890.000000$40.9k$40,890.000000$6,561.000000$41,982.000000$11,670.000000$47,451.000000$47.5k31,05931.1k25,16325.2k$-25,919.000000$-27,720.000000$-25,919.000000$25.9k$25,919.000000$6,753.000000$27,720.000000$9,789.000000$32,672.000000$32.7k59,20159.2k47,92447.9k$-22,118.000000$-23,548.000000$-22,118.000000$22.1k$22,118.000000$6,047.000000$23,548.000000$7,809.000000$28,165.000000$28.2k54,67154.7k53,47453.5k$-16,637.000000$-16,641.000000$-16,637.000000$16.6k$16,637.000000$6,010.000000$16,641.000000$7,203.000000$22,647.000000$22.6k32,05832.1k31,74231.7k$-28,026.000000$-31,167.000000$-28,026.000000$28.0k$28,026.000000$5,030.000000$31,167.000000$9,085.000000$33,056.000000$33.1k193,991194k170,891171k
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 Milwaukee County and Milwaukee
Milwaukee
Milwaukee County
0%20%40%60%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma321.250000%46.538462%21.250000%21.3%1778.750000%49.615385%78.750000%78.8%630.000000%0.000000%0.0%3.846154%00.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Milwaukee County and Milwaukee
Milwaukee
Milwaukee County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.895656%86.597737%86.895656%86.9%65,54865.5k72.265960%74.714767%72.265960%72.3%68,20168.2k63.555606%65.937507%63.555606%63.6%56,09156.1k46.564994%47.259876%46.564994%46.6%22,99123.0k
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 Milwaukee County and Milwaukee
Female Male
Milwaukee County
Milwaukee
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackAsianHispanic2Other1-6.989169%-5.992923%-6.989169%7.0%6.989169%0.665552%5.992923%0.476947%7.654721%7.7%6,0005,782-18.395722%-18.018911%-18.395722%18.4%18.395722%2.739145%18.018911%2.722450%21.134867%21.1%11,71411.7k13,76013.8k-21.249577%-10.673562%-16.163004%-8.848287%-31.923139%31.9%21.249577%16.163004%21.249577%21.2%1,2551,977-38.122403%-33.361162%-38.122403%38.1%38.122403%5.493986%33.361162%5.713973%43.616389%43.6%12,46612.5k10,09110.1k-33.000990%-28.239203%-33.000990%33.0%33.000990%7.465707%28.239203%7.870881%40.466697%40.5%6,1914,998
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 Milwaukee County and Milwaukee
Female Male
Milwaukee County
Milwaukee
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackAsianHispanic2Other1-35.571489%-3.612343%-37.923789%-1.355723%-39.183831%39.2%35.571489%37.923789%35.571489%35.6%27,88227.9k32,41632.4k-9.797023%-3.927576%-10.553804%-4.240540%-13.724599%13.7%9.797023%10.553804%9.797023%9.8%5,43010,26610.3k-27.660262%-39.228615%-27.660262%27.7%27.660262%3.562224%39.228615%7.071751%31.222486%31.2%1,8441,713-6.444841%-4.084060%-9.265499%-4.414098%-10.528901%10.5%6.444841%9.265499%6.444841%6.4%1,8422,787-8.817570%-3.800456%-11.298928%-5.212173%-12.618026%12.6%8.817570%11.298928%8.817570%8.8%1,3491,911
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Neighborhood in Milwaukee

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

Percentage of the population 25 years and older with given highest level of educational attainment
6%21%36%51%66%82%

Coarse: High School Diploma Educational Attainment by Neighborhood#17

Percentage of the population 25 years and older with given highest level of educational attainment
16%27%38%48%59%70%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%10%20%30%40%50%

Detailed: Doctorate Degree Educational Attainment by Neighborhood#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.2%4.5%6.7%9.0%11.3%

Detailed: Professional Degree Educational Attainment by Neighborhood#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.0%3.9%5.9%7.9%9.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.4%4.1%7.8%11.4%15.1%18.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2%11%20%30%39%48%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.2%4.8%7.4%10.0%12.6%15.2%

Detailed: Some College Educational Attainment by Neighborhood#24

Percentage of the population 25 years and older with given highest level of educational attainment
9.0%14.0%19.0%23.9%28.9%33.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5%13%21%29%37%45%

Detailed: Some High School Educational Attainment by Neighborhood#26

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%11%17%23%29%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%5.0%9.9%14.9%19.8%24.8%

Detailed: None Educational Attainment by Neighborhood#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.5%7.0%10.5%14.0%17.6%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Milwaukee

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

Percentage of the population 25 years and older with given highest level of educational attainment
1%19%36%53%70%88%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
11%25%38%51%64%77%

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%12%23%35%46%58%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.6%5.3%7.9%10.6%13.2%

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%2.4%4.8%7.2%9.6%12.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.3%8.6%12.9%17.2%21.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%10%19%29%38%48%

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%3.2%6.4%9.6%12.8%16.1%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
6%13%19%26%32%39%

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
4%13%22%31%40%49%

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%6%13%19%26%33%

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%6%11%17%22%28%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%12%18%24%30%
Road Data ©OpenStreetMap

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Educational Attainment by Neighborhood in Milwaukee

There are 204 neighborhoods that are fully or partially contained within Milwaukee (141 fully and 63 partially). This section compares the 50 most populous of those to each other, Milwaukee, and other entities that contain or substantially overlap with Milwaukee. The least populous of the compared neighborhoods has a population of 4,112.

No H.S. Diploma by Neighborhood#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Milwaukee, selected neighborhoods in Milwaukee, and entities that contain Milwaukee
0%10%20%30%40%Count#Historic Mitchell Street NeighborhoodHist Mitchell StMuskego Way NeighborhoodMuskego WayClarke Square NeighborhoodClarke SquareForest Home Hills NeighborhoodFrst Home HlsLincoln Village NeighborhoodLincoln VlgBurnham Park NeighborhoodBurnham ParkPolonia NeighborhoodPoloniaSilver City NeighborhoodSilver CityWalker's Point NeighborhoodWalker's PtPark West NeighborhoodPark WestWashington Park NeighborhoodWashington PkNorth Division NeighborhoodN DivisionLayton Park NeighborhoodLayton ParkArlington Heights NeighborhoodArlington HtsAvenues West NeighborhoodAvenues WestMidtown NeighborhoodMidtownFranklin Heights NeighborhoodFranklin HtsLincoln Park NeighborhoodLincoln ParkMorgandale NeighborhoodMorgandaleHarambee NeighborhoodHarambeeRufus King NeighborhoodRufus KingSilver Spring NeighborhoodSilver SpringSherman Park NeighborhoodSherman ParkOld North Milwaukee NeighborhoodOld N MilwaukeeHampton Heights NeighborhoodHampton HtsValhalla NeighborhoodValhallaMilwaukeeMilwaukee School DistrictMilwaukeeMilwaukeeUptown NeighborhoodUptownMenomonee River Hills NeighborhoodMenomonee Riv HlsRoosevelt Grove NeighborhoodRoosevelt GrvJackson Park NeighborhoodJackson ParkSix Points NeighborhoodSix PointsThurston Woods NeighborhoodThurston WdsCapitol Heights NeighborhoodCapitol HtsSaint Joseph NeighborhoodSaint JosephMilwaukee CountyMilwaukeeUnited States of AmericaUnited StatesLincoln Creek NeighborhoodLincoln CreekColumbus Park NeighborhoodColumbus ParkEast North CentralGrasslyn Manor NeighborhoodGrasslyn MnrMidwestLindsay Park NeighborhoodLindsay ParkTown of Lake NeighborhoodTown of LakeMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSunset Heights NeighborhoodSunset HtsWisconsinRiverwest NeighborhoodRiverwestTippecanoe NeighborhoodTippecanoeWashington Heights NeighborhoodWashington HtsTimmerman West NeighborhoodTimmerman WBay View NeighborhoodBay ViewLower East Side NeighborhoodLower E SideMurray Hill NeighborhoodMurray HillTosa East Town NeighborhoodTosa E TownJuneau Town NeighborhoodJuneau TownDowner Woods NeighborhoodDowner Woods49.444928%49.444928%49.4%3,0743,075142.066966%42.066966%42.1%2,9192,920242.027527%42.027527%42.0%1,903341.908473%41.908473%41.9%1,0291,030440.786871%40.786871%40.8%2,893538.354682%38.354682%38.4%1,7221,723635.955142%35.955142%36.0%1,2541,255735.952305%35.952305%36.0%941942833.432028%33.432028%33.4%1,5881,589929.491475%29.491475%29.5%1,0521029.300367%29.300367%29.3%7471128.578983%28.578983%28.6%1,2191,2201228.212900%28.212900%28.2%1,2551326.290044%26.290044%26.3%7387391425.352220%25.352220%25.4%7537541524.427558%24.427558%24.4%9421623.476122%23.476122%23.5%1,1841723.110217%23.110217%23.1%7841823.045149%23.045149%23.0%1,2891922.772220%22.772220%22.8%1,4041,4052022.743814%22.743814%22.7%7042122.138720%22.138720%22.1%1,5391,5402218.848806%18.848806%18.8%7587592318.591173%18.591173%18.6%1,2932417.623249%17.623249%17.6%6662517.563812%17.563812%17.6%4172617.485105%17.485105%17.5%63,80063.8k17.485105%17.485105%17.5%63,80063.8k17.485105%17.485105%17.5%63,80063.8k17.212818%17.212818%17.2%6502715.009403%15.009403%15.0%7947952814.967293%14.967293%15.0%4804812914.961485%14.961485%15.0%8238243014.857704%14.857704%14.9%6716723114.607103%14.607103%14.6%3493214.595181%14.595181%14.6%4903313.894143%13.894143%13.9%5653413.092854%13.092854%13.1%81,52281.5k13.020590%13.020590%13.0%27,818,38027.8M12.750363%12.750363%12.8%5173510.770976%10.770976%10.8%2742753610.719464%10.719464%10.7%3,363,7843.36M10.465773%10.465773%10.5%3283293710.244520%10.244520%10.2%4,641,8354.64M9.802016%9.802016%9.8%280389.611353%9.611353%9.6%374375399.572772%9.572772%9.6%100,754101k9.332347%9.332347%9.3%240408.637220%8.637220%8.6%336,096336k8.231273%8.231273%8.2%655418.034528%8.034528%8.0%365427.903950%7.903950%7.9%367437.371400%7.371400%7.4%219220446.491516%6.491516%6.5%837838455.581208%5.581208%5.6%563463.759293%3.759293%3.8%125473.461643%3.461643%3.5%123483.147077%3.147077%3.1%104105491.258159%1.258159%1.3%161750
Count number of people in category
# rank of neighborhood out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Neighborhood#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Milwaukee, selected neighborhoods in Milwaukee, and entities that contain Milwaukee
0%20%40%60%Count#Downer Woods NeighborhoodDowner WoodsJuneau Town NeighborhoodJuneau TownLower East Side NeighborhoodLower E SideTosa East Town NeighborhoodTosa E TownMurray Hill NeighborhoodMurray HillRiverwest NeighborhoodRiverwestWashington Heights NeighborhoodWashington HtsBay View NeighborhoodBay ViewMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeTippecanoe NeighborhoodTippecanoeUnited States of AmericaUnited StatesMilwaukee CountyMilwaukeeMidwestEast North CentralWisconsinSunset Heights NeighborhoodSunset HtsAvenues West NeighborhoodAvenues WestTown of Lake NeighborhoodTown of LakeLindsay Park NeighborhoodLindsay ParkJackson Park NeighborhoodJackson ParkMilwaukeeMilwaukee School DistrictMilwaukeeMilwaukeeGrasslyn Manor NeighborhoodGrasslyn MnrSix Points NeighborhoodSix PointsSaint Joseph NeighborhoodSaint JosephMenomonee River Hills NeighborhoodMenomonee Riv HlsUptown NeighborhoodUptownRufus King NeighborhoodRufus KingColumbus Park NeighborhoodColumbus ParkTimmerman West NeighborhoodTimmerman WCapitol Heights NeighborhoodCapitol HtsLincoln Creek NeighborhoodLincoln CreekMorgandale NeighborhoodMorgandaleWalker's Point NeighborhoodWalker's PtLincoln Park NeighborhoodLincoln ParkHampton Heights NeighborhoodHampton HtsHarambee NeighborhoodHarambeeValhalla NeighborhoodValhallaMidtown NeighborhoodMidtownThurston Woods NeighborhoodThurston WdsRoosevelt Grove NeighborhoodRoosevelt GrvOld North Milwaukee NeighborhoodOld N MilwaukeeSherman Park NeighborhoodSherman ParkLayton Park NeighborhoodLayton ParkWashington Park NeighborhoodWashington PkNorth Division NeighborhoodN DivisionPolonia NeighborhoodPoloniaSilver Spring NeighborhoodSilver SpringFranklin Heights NeighborhoodFranklin HtsArlington Heights NeighborhoodArlington HtsBurnham Park NeighborhoodBurnham ParkLincoln Village NeighborhoodLincoln VlgClarke Square NeighborhoodClarke SquareHistoric Mitchell Street NeighborhoodHist Mitchell StSilver City NeighborhoodSilver CityMuskego Way NeighborhoodMuskego WayForest Home Hills NeighborhoodFrst Home HlsPark West NeighborhoodPark West75.589156%75.589156%75.6%1,0021,003171.224899%71.224899%71.2%2,3732,374263.838285%63.838285%63.8%6,4446,445363.517624%63.517624%63.5%2,265460.293992%60.293992%60.3%2,007545.334755%45.334755%45.3%3,6083,609642.878149%42.878149%42.9%1,993741.790648%41.790648%41.8%5,3925,393833.810164%33.810164%33.8%355,854356k32.441020%32.441020%32.4%1,475930.315023%30.315023%30.3%64,767,78764.8M29.748251%29.748251%29.7%185,226185k28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.829050%27.829050%27.8%7161025.739340%25.739340%25.7%7651125.526950%25.526950%25.5%9951224.790073%24.790073%24.8%7087091324.352048%24.352048%24.4%1,3411423.517740%23.517740%23.5%85,81285.8k23.517740%23.517740%23.5%85,81285.8k23.517740%23.517740%23.5%85,81285.8k23.246394%23.246394%23.2%7301522.517878%22.517878%22.5%1,0171,0181621.734664%21.734664%21.7%8841720.790702%20.790702%20.8%1,1001,1011820.556063%20.556063%20.6%7761917.576419%17.576419%17.6%5442017.559349%17.559349%17.6%4482116.824622%16.824622%16.8%5022216.163615%16.163615%16.2%5432315.598163%15.598163%15.6%6326332413.949054%13.949054%13.9%7807812513.333269%13.333269%13.3%6336342611.806630%11.806630%11.8%4004012711.689028%11.689028%11.7%4414422811.103421%11.103421%11.1%6846852910.949474%10.949474%10.9%2603010.937312%10.937312%10.9%4214223110.749860%10.749860%10.7%2573210.732374%10.732374%10.7%344345339.846414%9.846414%9.8%684685349.004534%9.004534%9.0%362358.919135%8.919135%8.9%396397368.187871%8.187871%8.2%208209378.010075%8.010075%8.0%341342387.960653%7.960653%8.0%277278397.925526%7.925526%7.9%551406.742587%6.742587%6.7%340416.703713%6.703713%6.7%188426.510355%6.510355%6.5%292436.252965%6.252965%6.3%443444446.011645%6.011645%6.0%272454.614351%4.614351%4.6%286287464.491226%4.491226%4.5%117118473.985812%3.985812%4.0%276277483.965827%3.965827%4.0%97493.806463%3.806463%3.8%13513650
Count number of people in category
# rank of neighborhood out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Neighborhood#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 Milwaukee, selected neighborhoods in Milwaukee, and entities that contain Milwaukee
0%5%10%15%20%Count#Downer Woods NeighborhoodDowner WoodsJuneau Town NeighborhoodJuneau TownLower East Side NeighborhoodLower E SideMurray Hill NeighborhoodMurray HillTosa East Town NeighborhoodTosa E TownWashington Heights NeighborhoodWashington HtsAvenues West NeighborhoodAvenues WestBay View NeighborhoodBay ViewRiverwest NeighborhoodRiverwestUnited States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMilwaukee CountyMilwaukeeMidwestEast North CentralWisconsinMilwaukeeMilwaukee School DistrictMilwaukeeMilwaukeeJackson Park NeighborhoodJackson ParkWalker's Point NeighborhoodWalker's PtMenomonee River Hills NeighborhoodMenomonee Riv HlsSunset Heights NeighborhoodSunset HtsSix Points NeighborhoodSix PointsTown of Lake NeighborhoodTown of LakeUptown NeighborhoodUptownRoosevelt Grove NeighborhoodRoosevelt GrvTippecanoe NeighborhoodTippecanoeGrasslyn Manor NeighborhoodGrasslyn MnrRufus King NeighborhoodRufus KingHarambee NeighborhoodHarambeeSaint Joseph NeighborhoodSaint JosephLincoln Village NeighborhoodLincoln VlgSherman Park NeighborhoodSherman ParkOld North Milwaukee NeighborhoodOld N MilwaukeeCapitol Heights NeighborhoodCapitol HtsLincoln Creek NeighborhoodLincoln CreekMorgandale NeighborhoodMorgandaleWashington Park NeighborhoodWashington PkPolonia NeighborhoodPoloniaSilver Spring NeighborhoodSilver SpringLincoln Park NeighborhoodLincoln ParkColumbus Park NeighborhoodColumbus ParkThurston Woods NeighborhoodThurston WdsLayton Park NeighborhoodLayton ParkForest Home Hills NeighborhoodFrst Home HlsHistoric Mitchell Street NeighborhoodHist Mitchell StHampton Heights NeighborhoodHampton HtsNorth Division NeighborhoodN DivisionLindsay Park NeighborhoodLindsay ParkClarke Square NeighborhoodClarke SquareMidtown NeighborhoodMidtownTimmerman West NeighborhoodTimmerman WPark West NeighborhoodPark WestMuskego Way NeighborhoodMuskego WayBurnham Park NeighborhoodBurnham ParkValhalla NeighborhoodValhallaFranklin Heights NeighborhoodFranklin HtsSilver City NeighborhoodSilver CityArlington Heights NeighborhoodArlington Hts20.426592%20.426592%20.4%270271113.320617%13.320617%13.3%44344428.113588%8.113588%8.1%81937.257967%7.257967%7.3%24124245.566089%5.566089%5.6%19854.242874%4.242874%4.2%19763.597587%3.597587%3.6%10610773.584132%3.584132%3.6%46246383.490626%3.490626%3.5%27727893.336158%3.336158%3.3%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k2.985811%2.985811%3.0%18,59118.6k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.043126%2.043126%2.0%7,4552.043126%2.043126%2.0%7,4552.043126%2.043126%2.0%7,4552.009362%2.009362%2.0%110111101.971008%1.971008%2.0%9394111.887328%1.887328%1.9%99100121.812179%1.812179%1.8%4647131.748119%1.748119%1.7%79141.485295%1.485295%1.5%5758151.458880%1.458880%1.5%55161.352766%1.352766%1.4%43171.333223%1.333223%1.3%6061181.163074%1.163074%1.2%3637191.055313%1.055313%1.1%3233200.903748%0.903748%0.9%5556210.851672%0.851672%0.9%3435220.824458%0.824458%0.8%58230.747271%0.747271%0.7%30240.692343%0.692343%0.7%48250.682976%0.682976%0.7%2223260.652967%0.652967%0.7%26270.646854%0.646854%0.6%36280.640996%0.640996%0.6%16290.568912%0.568912%0.6%1920300.567442%0.567442%0.6%39310.566983%0.566983%0.6%19320.529501%0.529501%0.5%1314330.478419%0.478419%0.5%11340.475089%0.475089%0.5%21350.379739%0.379739%0.4%9360.350455%0.350455%0.4%2122370.328798%0.328798%0.3%12380.303312%0.303312%0.3%1213390.192250%0.192250%0.2%5400.181190%0.181190%0.2%8410.158179%0.158179%0.2%6420.133828%0.133828%0.1%34430.125422%0.125422%0.1%4440.104320%0.104320%0.1%7450.092562%0.092562%0.1%4460.013862%0.013862%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of neighborhood 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 Neighborhood#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 Milwaukee, selected neighborhoods in Milwaukee, and entities that contain Milwaukee
Female
Male
2x1x0x1x2xFM#Tosa E TownJuneau TownRoosevelt GrvThurston WdsMurray HillWashington PkSilver CityMorgandaleLindsay ParkColumbus ParkLayton ParkBay ViewBurnham ParkPark WestFrst Home HlsPoloniaMidtownLincoln ParkSunset HtsLower E SideJackson ParkLincoln CreekWisconsinSilver SpringTown of LakeMuskego WayAvenues WestTippecanoeMidwestEast North CentralMilwaukeeMilwaukeeMilwaukeeTimmerman WMilwaukeeUnited StatesMilwaukeeValhallaFranklin HtsSix PointsSherman ParkLincoln VlgN DivisionClarke SquareOld N MilwaukeeHist Mitchell StRufus KingGrasslyn MnrWalker's PtHarambeeSaint JosephUptownRiverwestArlington HtsWashington HtsHampton HtsMenomonee Riv HlsCapitol HtsDowner Woods-1.000000x-1.000000x2.766277x2.766277x2.77x1.873%1.87%5.181%5.18%1-1.000000x-1.000000x1.944249x1.944249x1.94x2.152%2.15%4.184%4.18%2-1.000000x-1.000000x1.914357x1.914357x1.91x11.023%11.0%21.103%21.1%3-1.000000x-1.000000x1.743748x1.743748x1.74x11.161%11.2%19.463%19.5%4-1.000000x-1.000000x1.685323x1.685323x1.69x2.667%2.67%4.496%4.50%5-1.000000x-1.000000x1.575736x1.575736x1.58x23.286%23.3%36.692%36.7%6-1.000000x-1.000000x1.478325x1.478325x1.48x28.984%29.0%42.849%42.8%7-1.000000x-1.000000x1.475263x1.475263x1.48x18.940%18.9%27.941%27.9%8-1.000000x-1.000000x1.474061x1.474061x1.47x8.075%8.08%11.903%11.9%9-1.000000x-1.000000x1.422644x1.422644x1.42x9.156%9.16%13.026%13.0%10-1.000000x-1.000000x1.411404x1.411404x1.41x23.397%23.4%33.023%33.0%11-1.000000x-1.000000x1.366888x1.366888x1.37x5.513%5.51%7.535%7.53%12-1.000000x-1.000000x1.307625x1.307625x1.31x33.201%33.2%43.415%43.4%13-1.000000x-1.000000x1.306028x1.306028x1.31x26.277%26.3%34.318%34.3%14-1.000000x-1.000000x1.283161x1.283161x1.28x36.471%36.5%46.799%46.8%15-1.000000x-1.000000x1.274994x1.274994x1.27x31.683%31.7%40.396%40.4%16-1.000000x-1.000000x1.274725x1.274725x1.27x21.974%22.0%28.010%28.0%17-1.000000x-1.000000x1.272092x1.272092x1.27x20.583%20.6%26.183%26.2%18-1.000000x-1.000000x1.254981x1.254981x1.25x8.413%8.41%10.558%10.6%19-1.000000x-1.000000x1.248933x1.248933x1.25x4.916%4.92%6.140%6.14%20-1.000000x-1.000000x1.239061x1.239061x1.24x13.449%13.4%16.664%16.7%21-1.000000x-1.000000x1.233430x1.233430x1.23x11.721%11.7%14.457%14.5%22-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.198069x1.198069x1.20x20.449%20.4%24.499%24.5%23-1.000000x-1.000000x1.186645x1.186645x1.19x8.837%8.84%10.486%10.5%24-1.000000x-1.000000x1.154091x1.154091x1.15x39.179%39.2%45.216%45.2%25-1.000000x-1.000000x1.148396x1.148396x1.15x23.547%23.5%27.041%27.0%26-1.000000x-1.000000x1.143464x1.143464x1.14x7.505%7.50%8.582%8.58%27-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%-1.000000x-1.000000x1.111066x1.111066x1.11x7.031%7.03%7.812%7.81%28-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.097138x1.097138x1.10x16.864%16.9%18.502%18.5%29-1.000000x-1.000000x1.074469x1.074469x1.07x22.721%22.7%24.413%24.4%30-1.000000x-1.000000x1.073391x1.073391x1.07x14.322%14.3%15.373%15.4%31-1.000000x-1.000000x1.064141x1.064141x1.06x18.357%18.4%19.535%19.5%32-1.000000x-1.000000x1.060880x1.060880x1.06x39.571%39.6%41.980%42.0%33-1.000000x-1.000000x1.052661x1.052661x1.05x27.977%28.0%29.450%29.4%34-1.000000x-1.000000x1.029716x1.029716x1.03x41.407%41.4%42.638%42.6%35-1.000000x-1.000000x1.029577x1.029577x1.03x18.356%18.4%18.899%18.9%36-1.000000x-1.000000x1.027788x1.027788x1.03x48.749%48.7%50.104%50.1%37-1.000000x-1.000000x1.008763x1.008763x1.01x22.656%22.7%22.855%22.9%38-1.009904x-1.009904x1.01x1.000000x1.000000x10.506%10.5%10.403%10.4%39-1.023569x-1.023569x1.02x1.000000x1.000000x33.855%33.9%33.076%33.1%40-1.035182x-1.035182x1.04x1.000000x1.000000x23.110%23.1%22.325%22.3%41-1.094573x-1.094573x1.09x1.000000x1.000000x14.405%14.4%13.160%13.2%42-1.116147x-1.116147x1.12x1.000000x1.000000x17.996%18.0%16.124%16.1%43-1.154086x-1.154086x1.15x1.000000x1.000000x8.858%8.86%7.676%7.68%44-1.174136x-1.174136x1.17x1.000000x1.000000x28.313%28.3%24.114%24.1%45-1.219914x-1.219914x1.22x1.000000x1.000000x8.642%8.64%7.085%7.08%46-1.284448x-1.284448x1.28x1.000000x1.000000x19.404%19.4%15.107%15.1%47-1.321223x-1.321223x1.32x1.000000x1.000000x16.899%16.9%12.790%12.8%48-1.571697x-1.571697x1.57x1.000000x1.000000x17.215%17.2%10.953%11.0%49-2.739551x-2.739551x2.74x1.000000x1.000000x1.829%1.83%0.668%0.67%50
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by Neighborhood#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 Milwaukee, selected neighborhoods in Milwaukee, and entities that contain Milwaukee
Female
Male
10x5x0x5x10xFM#Hist Mitchell StLincoln ParkRufus KingValhallaThurston WdsFrst Home HlsSilver SpringLayton ParkMidtownSix PointsHampton HtsGrasslyn MnrDowner WoodsWalker's PtOld N MilwaukeeTosa E TownEast North CentralMidwestMilwaukeeWisconsinSaint JosephUnited StatesMilwaukeeTown of LakeWashington PkMorgandaleMilwaukeeMilwaukeeMilwaukeeJackson ParkWashington HtsLower E SideBay ViewTippecanoeMurray HillColumbus ParkAvenues WestJuneau TownRiverwestLincoln VlgUptownSherman ParkSunset HtsMenomonee Riv HlsRoosevelt GrvHarambeeCapitol HtsN DivisionLincoln CreekPoloniaMuskego WayBurnham ParkClarke SquarePark WestTimmerman WLindsay Park-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.682%0.68%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.256%1.26%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.393%2.39%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.032%0.03%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.153%1.15%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.015%0.02%0.708%0.71%6-1.000000x-1.000000x7.014918x7.014918x7.01x0.162%0.16%1.134%1.13%7-1.000000x-1.000000x4.427926x4.427926x4.43x0.175%0.17%0.775%0.77%8-1.000000x-1.000000x4.057243x4.057243x4.06x0.071%0.07%0.286%0.29%9-1.000000x-1.000000x3.498053x3.498053x3.50x0.769%0.77%2.690%2.69%10-1.000000x-1.000000x2.825503x2.825503x2.83x0.187%0.19%0.529%0.53%11-1.000000x-1.000000x2.484371x2.484371x2.48x0.737%0.74%1.831%1.83%12-1.000000x-1.000000x2.148706x2.148706x2.15x13.055%13.1%28.051%28.1%13-1.000000x-1.000000x2.133456x2.133456x2.13x1.220%1.22%2.603%2.60%14-1.000000x-1.000000x1.998796x1.998796x2.00x0.484%0.48%0.967%0.97%15-1.000000x-1.000000x1.942526x1.942526x1.94x3.832%3.83%7.443%7.44%16-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.575129x1.575129x1.58x0.689%0.69%1.085%1.09%17-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%-1.000000x-1.000000x1.438089x1.438089x1.44x1.232%1.23%1.772%1.77%18-1.000000x-1.000000x1.404643x1.404643x1.40x0.543%0.54%0.762%0.76%19-1.000000x-1.000000x1.397711x1.397711x1.40x0.548%0.55%0.765%0.77%20-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%-1.000000x-1.000000x1.299511x1.299511x1.30x1.761%1.76%2.289%2.29%21-1.000000x-1.000000x1.274213x1.274213x1.27x3.755%3.75%4.784%4.78%22-1.000000x-1.000000x1.254082x1.254082x1.25x7.130%7.13%8.941%8.94%23-1.000000x-1.000000x1.224877x1.224877x1.22x3.232%3.23%3.959%3.96%24-1.000000x-1.000000x1.174919x1.174919x1.17x1.228%1.23%1.442%1.44%25-1.000000x-1.000000x1.170794x1.170794x1.17x6.586%6.59%7.711%7.71%26-1.000000x-1.000000x1.145269x1.145269x1.15x0.499%0.50%0.572%0.57%27-1.000000x-1.000000x1.084123x1.084123x1.08x3.448%3.45%3.738%3.74%28-1.051846x-1.051846x1.05x1.000000x1.000000x13.650%13.7%12.977%13.0%29-1.144107x-1.144107x1.14x1.000000x1.000000x3.740%3.74%3.269%3.27%30-1.163024x-1.163024x1.16x1.000000x1.000000x0.887%0.89%0.763%0.76%31-1.253186x-1.253186x1.25x1.000000x1.000000x1.594%1.59%1.272%1.27%32-1.265063x-1.265063x1.27x1.000000x1.000000x0.819%0.82%0.647%0.65%33-1.387974x-1.387974x1.39x1.000000x1.000000x2.059%2.06%1.483%1.48%34-1.970199x-1.970199x1.97x1.000000x1.000000x2.440%2.44%1.238%1.24%35-1.989212x-1.989212x1.99x1.000000x1.000000x1.680%1.68%0.844%0.84%36-4.027262x-4.027262x4.03x1.000000x1.000000x1.336%1.34%0.332%0.33%37-6.003965x-6.003965x6.00x1.000000x1.000000x1.049%1.05%0.175%0.17%38-7.197448x-7.197448x7.20x1.000000x1.000000x0.468%0.47%0.065%0.07%39-7.674069x-7.674069x7.67x1.000000x1.000000x0.971%0.97%0.126%0.13%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.116%1.12%0.000%0.00%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.200%0.20%0.000%0%42-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.187%0.19%0.000%0%43-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.365%0.37%0.000%0%44-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.209%0.21%0.000%0%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.237%0.24%0.000%0%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.350%0.35%0.000%0%47
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 47 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Milwaukee Area

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

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 Milwaukee, selected other county subdivisions in the Milwaukee Area, and entities that contain Milwaukee
0%5%10%15%Count#MilwaukeeMilwaukee School DistrictMilwaukeeMilwaukeeMilwaukee CountyMilwaukeeUnited States of AmericaUnited StatesSt. FrancisCudahyEast North CentralMidwestWest AllisMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSouth MilwaukeeS MilwaukeeWisconsinGreenfieldFranklinWaukeshaHartfordWest BendSlingerJacksonBrown DeerOak CreekHales CornersHartlandGermantownGlendaleMenomonee FallsPort WashingtonTown of WaukeshaWaukeshaTown of BrookfieldBrookfieldNew BerlinOconomowocSummitSussexMuskegoGraftonTown of OconomowocOconomowocTown of LisbonLisbonWauwatosaGreendalePewaukeeRichfieldCedarburgMukwonagoDelafieldBrookfieldTown of VernonVernonTown of MukwonagoMukwonagoElm GroveTown of GeneseeGeneseeShorewoodWhitefish BayMequonFox PointTown of MertonMertonPewaukeeTown of CedarburgCedarburgTown of DelafieldDelafield17.485105%17.485105%17.5%63,80063.8k17.485105%17.485105%17.5%63,80063.8k17.485105%17.485105%17.5%63,80063.8k113.092854%13.092854%13.1%81,52281.5k13.020590%13.020590%13.0%27,818,38027.8M11.382006%11.382006%11.4%859211.082337%11.082337%11.1%1,455310.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,39949.572772%9.572772%9.6%100,754101k9.190270%9.190270%9.2%1,37958.637220%8.637220%8.6%336,096336k8.204982%8.204982%8.2%2,29667.392323%7.392323%7.4%1,92477.158983%7.158983%7.2%3,39387.103195%7.103195%7.1%67896.565400%6.565400%6.6%1,422106.437518%6.437518%6.4%221116.248676%6.248676%6.2%295126.204545%6.204545%6.2%546135.765641%5.765641%5.8%1,421145.418012%5.418012%5.4%302155.411725%5.411725%5.4%324165.227570%5.227570%5.2%719174.601195%4.601195%4.6%439184.484909%4.484909%4.5%1,165194.357654%4.357654%4.4%347204.353215%4.353215%4.4%281214.339461%4.339461%4.3%203224.236891%4.236891%4.2%1,267233.988090%3.988090%4.0%442243.883495%3.883495%3.9%124253.648037%3.648037%3.6%250263.554446%3.554446%3.6%598273.539607%3.539607%3.5%290283.490760%3.490760%3.5%221293.474753%3.474753%3.5%267303.390471%3.390471%3.4%1,167313.368560%3.368560%3.4%357323.203803%3.203803%3.2%310333.118254%3.118254%3.1%260343.102166%3.102166%3.1%242352.819914%2.819914%2.8%145362.818329%2.818329%2.8%139372.806979%2.806979%2.8%761382.798574%2.798574%2.8%157392.790041%2.790041%2.8%158402.671933%2.671933%2.7%115412.638727%2.638727%2.6%136422.374614%2.374614%2.4%223432.149733%2.149733%2.1%201442.107701%2.107701%2.1%355451.951017%1.951017%2.0%94461.940402%1.940402%1.9%112471.525540%1.525540%1.5%89481.091193%1.091193%1.1%42491.017592%1.017592%1.0%5950
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Milwaukee, selected other county subdivisions in the Milwaukee Area, and entities that contain Milwaukee
0%20%40%60%Count#Fox PointElm GroveWhitefish BayShorewoodMequonWauwatosaBrookfieldCedarburgTown of DelafieldDelafieldDelafieldPewaukeeGlendaleSummitTown of MertonMertonTown of CedarburgCedarburgTown of BrookfieldBrookfieldOconomowocTown of OconomowocOconomowocMenomonee FallsNew BerlinGreendaleGraftonSussexGermantownRichfieldHales CornersTown of GeneseeGeneseeHartlandFranklinPort WashingtonBrown DeerTown of WaukeshaWaukeshaPewaukeeTown of MukwonagoMukwonagoWaukeshaMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMuskegoTown of LisbonLisbonOak CreekUnited States of AmericaUnited StatesMilwaukee CountyMilwaukeeSlingerMukwonagoTown of VernonVernonSt. FrancisMidwestGreenfieldEast North CentralWisconsinWest BendJacksonHartfordWest AllisMilwaukeeMilwaukee School DistrictMilwaukeeMilwaukeeCudahySouth MilwaukeeS Milwaukee76.587796%76.587796%76.6%3,690172.188662%72.188662%72.2%3,107272.160428%72.160428%72.2%6,747367.511447%67.511447%67.5%6,340463.254765%63.254765%63.3%10,65410.7k558.155142%58.155142%58.2%20,01720.0k658.053926%58.053926%58.1%15,73915.7k757.351622%57.351622%57.4%4,474856.881683%56.881683%56.9%3,298952.331711%52.331711%52.3%2,5811051.705250%51.705250%51.7%5,0031151.200084%51.200084%51.2%4,8851250.078296%50.078296%50.1%1,5991349.306999%49.306999%49.3%2,8461447.804625%47.804625%47.8%1,8401544.292433%44.292433%44.3%2,0721644.229902%44.229902%44.2%4,9021744.116253%44.116253%44.1%2,7931841.080228%41.080228%41.1%10,67110.7k1940.780498%40.780498%40.8%12,19512.2k2040.649179%40.649179%40.6%4,3082140.412547%40.412547%40.4%3,3112240.376477%40.376477%40.4%2,7672339.610295%39.610295%39.6%5,4482439.385944%39.385944%39.4%3,2842539.092214%39.092214%39.1%2,1792638.125728%38.125728%38.1%1,9652737.898781%37.898781%37.9%2,2692837.841472%37.841472%37.8%9,8492937.310059%37.310059%37.3%2,9713037.045455%37.045455%37.0%3,2603135.879163%35.879163%35.9%2,3163235.755914%35.755914%35.8%2,0863335.740773%35.740773%35.7%2,0243435.550164%35.550164%35.6%16,84916.8k3533.810164%33.810164%33.8%355,854356k33.499762%33.499762%33.5%5,6363632.053618%32.053618%32.1%2,4633731.640023%31.640023%31.6%7,7983830.315023%30.315023%30.3%64,767,78764.8M29.748251%29.748251%29.7%185,226185k29.478590%29.478590%29.5%1,0123929.443796%29.443796%29.4%1,5144029.197861%29.197861%29.2%1,6384129.177156%29.177156%29.2%2,2024228.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0934328.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.212706%27.212706%27.2%5,8944426.329168%26.329168%26.3%1,2434525.584075%25.584075%25.6%2,4424623.980394%23.980394%24.0%10,51910.5k4723.517740%23.517740%23.5%85,81285.8k23.517740%23.517740%23.5%85,81285.8k23.517740%23.517740%23.5%85,81285.8k4821.471552%21.471552%21.5%2,8194920.519827%20.519827%20.5%3,07950
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Milwaukee, selected other county subdivisions in the Milwaukee Area, and entities that contain Milwaukee
0%5%10%15%Count#Fox PointElm GroveShorewoodWhitefish BayMequonBrookfieldWauwatosaGlendaleTown of DelafieldDelafieldCedarburgSummitTown of CedarburgCedarburgTown of GeneseeGeneseeDelafieldOconomowocTown of OconomowocOconomowocTown of MertonMertonTown of BrookfieldBrookfieldNew BerlinGreendalePewaukeeHartlandPewaukeeTown of MukwonagoMukwonagoUnited States of AmericaUnited StatesBrown DeerMenomonee FallsMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeePort WashingtonTown of WaukeshaWaukeshaFranklinGermantownMilwaukee CountyMilwaukeeMidwestHales CornersEast North CentralSt. FrancisWisconsinMuskegoRichfieldGraftonTown of VernonVernonWaukeshaMilwaukeeMilwaukee School DistrictMilwaukeeMilwaukeeMukwonagoGreenfieldSussexOak CreekSlingerCudahyWest BendWest AllisTown of LisbonLisbonHartfordSouth MilwaukeeS MilwaukeeJackson19.966791%19.966791%20.0%962115.381041%15.381041%15.4%662213.736556%13.736556%13.7%1,290312.064171%12.064171%12.1%1,128411.084724%11.084724%11.1%1,86759.217661%9.217661%9.2%2,49968.094131%8.094131%8.1%2,78676.435384%6.435384%6.4%61486.364264%6.364264%6.4%36995.704397%5.704397%5.7%445105.606013%5.606013%5.6%179114.702520%4.702520%4.7%181124.520761%4.520761%4.5%233134.318735%4.318735%4.3%213144.222683%4.222683%4.2%468154.059390%4.059390%4.1%257164.054054%4.054054%4.1%234173.826422%3.826422%3.8%179183.762039%3.762039%3.8%1,125193.727118%3.727118%3.7%395203.679206%3.679206%3.7%356213.574411%3.574411%3.6%214223.359616%3.359616%3.4%196233.355112%3.355112%3.4%190243.336158%3.336158%3.3%7,127,6737.13M3.329545%3.329545%3.3%293253.295350%3.295350%3.3%856263.286157%3.286157%3.3%34,58734.6k3.214869%3.214869%3.2%256273.191325%3.191325%3.2%206283.100626%3.100626%3.1%807292.995492%2.995492%3.0%412302.985811%2.985811%3.0%18,59118.6k2.893416%2.893416%2.9%1,311,0191.31M2.870470%2.870470%2.9%160312.855432%2.855432%2.9%896,039896k2.756062%2.756062%2.8%208322.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450332.494603%2.494603%2.5%208342.441108%2.441108%2.4%200352.424242%2.424242%2.4%136362.192214%2.192214%2.2%1,039372.043126%2.043126%2.0%7,4552.043126%2.043126%2.0%7,4552.043126%2.043126%2.0%7,455381.905873%1.905873%1.9%98391.868992%1.868992%1.9%523401.838611%1.838611%1.8%126411.809624%1.809624%1.8%446421.747742%1.747742%1.7%60431.302460%1.302460%1.3%171441.292765%1.292765%1.3%280451.251567%1.251567%1.3%549461.093181%1.093181%1.1%84471.016239%1.016239%1.0%97480.893036%0.893036%0.9%134490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Milwaukee, selected other county subdivisions in the Milwaukee Area, and entities that contain Milwaukee
Female
Male
2x0x2x4xFM#CedarburgPewaukeeHartlandGreendaleDelafieldWaukeshaVernonMukwonagoFranklinGeneseeSummitRichfieldBrown DeerWauwatosaWaukeshaWhitefish BayWisconsinGermantownMuskegoPewaukeeMequonMertonMidwestEast North CentralMilwaukeeMilwaukeeMilwaukeeWest BendMilwaukeeHartfordUnited StatesPort WashingtonMilwaukeeMenomonee FallsJacksonOak CreekGlendaleGreenfieldBrookfieldNew BerlinHales CornersWest AllisS MilwaukeeCudahyBrookfieldMukwonagoSt. FrancisFox PointOconomowocOconomowocCedarburgSussexLisbonGraftonShorewoodSlingerElm GroveDelafield-1.000000x-1.000000x5.209549x5.209549x5.21x0.356%0.36%1.857%1.86%1-1.000000x-1.000000x2.458344x2.458344x2.46x0.905%0.91%2.225%2.23%2-1.000000x-1.000000x2.349083x2.349083x2.35x3.292%3.29%7.733%7.73%3-1.000000x-1.000000x2.150369x2.150369x2.15x2.213%2.21%4.758%4.76%4-1.000000x-1.000000x2.074982x2.074982x2.07x0.660%0.66%1.370%1.37%5-1.000000x-1.000000x1.893208x1.893208x1.89x3.038%3.04%5.751%5.75%6-1.000000x-1.000000x1.851903x1.851903x1.85x1.962%1.96%3.634%3.63%7-1.000000x-1.000000x1.731706x1.731706x1.73x2.029%2.03%3.514%3.51%8-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%9-1.000000x-1.000000x1.575758x1.575758x1.58x2.043%2.04%3.220%3.22%10-1.000000x-1.000000x1.574372x1.574372x1.57x3.027%3.03%4.765%4.76%11-1.000000x-1.000000x1.494002x1.494002x1.49x2.504%2.50%3.740%3.74%12-1.000000x-1.000000x1.321858x1.321858x1.32x5.408%5.41%7.148%7.15%13-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%14-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%15-1.000000x-1.000000x1.284172x1.284172x1.28x1.899%1.90%2.438%2.44%16-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%17-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%18-1.000000x-1.000000x1.154088x1.154088x1.15x2.980%2.98%3.439%3.44%19-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%20-1.000000x-1.000000x1.136594x1.136594x1.14x1.818%1.82%2.066%2.07%21-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%22-1.000000x-1.000000x1.118245x1.118245x1.12x6.211%6.21%6.945%6.95%23-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%-1.000000x-1.000000x1.109296x1.109296x1.11x6.741%6.74%7.478%7.48%24-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.103873x1.103873x1.10x4.145%4.14%4.575%4.58%25-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.077248x1.077248x1.08x4.329%4.33%4.663%4.66%26-1.000000x-1.000000x1.052843x1.052843x1.05x6.101%6.10%6.423%6.42%27-1.000000x-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%28-1.000000x-1.000000x1.046921x1.046921x1.05x4.505%4.51%4.717%4.72%29-1.000000x-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%30-1.000000x-1.000000x1.013079x1.013079x1.01x4.315%4.31%4.371%4.37%31-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%32-1.023703x-1.023703x1.02x1.000000x1.000000x5.476%5.48%5.349%5.35%33-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%34-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%35-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%36-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%37-1.139343x-1.139343x1.14x1.000000x1.000000x2.993%2.99%2.627%2.63%38-1.204832x-1.204832x1.20x1.000000x1.000000x12.389%12.4%10.283%10.3%39-1.271644x-1.271644x1.27x1.000000x1.000000x2.177%2.18%1.712%1.71%40-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%41-1.450249x-1.450249x1.45x1.000000x1.000000x4.124%4.12%2.843%2.84%42-1.451447x-1.451447x1.45x1.000000x1.000000x3.640%3.64%2.508%2.51%43-1.456932x-1.456932x1.46x1.000000x1.000000x4.308%4.31%2.957%2.96%44-1.479136x-1.479136x1.48x1.000000x1.000000x4.148%4.15%2.804%2.80%45-1.885780x-1.885780x1.89x1.000000x1.000000x4.513%4.51%2.393%2.39%46-1.992381x-1.992381x1.99x1.000000x1.000000x3.093%3.09%1.553%1.55%47-2.473494x-2.473494x2.47x1.000000x1.000000x9.270%9.27%3.748%3.75%48-2.511825x-2.511825x2.51x1.000000x1.000000x3.655%3.66%1.455%1.46%49-2.551624x-2.551624x2.55x1.000000x1.000000x3.951%3.95%1.548%1.55%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

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 Milwaukee, selected other county subdivisions in the Milwaukee Area, and entities that contain Milwaukee
Female
Male
5x0x5xFM#PewaukeeOconomowocGraftonSussexCudahyDelafieldMuskegoBrown DeerMequonBrookfieldGreendaleRichfieldCedarburgBrookfieldElm GroveMukwonagoDelafieldWaukeshaMertonWhitefish BayNew BerlinWest AllisWauwatosaShorewoodWest BendEast North CentralMidwestMilwaukeeWisconsinFox PointUnited StatesCedarburgHartlandGlendaleMilwaukeeFranklinS MilwaukeeGeneseePewaukeeMenomonee FallsMilwaukeeMilwaukeeMilwaukeeSt. FrancisSummitGermantownWaukeshaOconomowocGreenfieldPort WashingtonOak CreekHales CornersMukwonagoVernonSlingerLisbonHartford-1.000000x-1.000000x5.376591x5.376591x5.38x1.099%1.10%5.910%5.91%1-1.000000x-1.000000x3.588364x3.588364x3.59x1.781%1.78%6.390%6.39%2-1.000000x-1.000000x3.442806x3.442806x3.44x1.151%1.15%3.962%3.96%3-1.000000x-1.000000x3.350060x3.350060x3.35x0.856%0.86%2.867%2.87%4-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%5-1.000000x-1.000000x2.545378x2.545378x2.55x3.579%3.58%9.110%9.11%6-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%7-1.000000x-1.000000x2.430005x2.430005x2.43x2.012%2.01%4.890%4.89%8-1.000000x-1.000000x2.345235x2.345235x2.35x6.743%6.74%15.813%15.8%9-1.000000x-1.000000x2.342052x2.342052x2.34x2.405%2.41%5.634%5.63%10-1.000000x-1.000000x2.289014x2.289014x2.29x2.351%2.35%5.381%5.38%11-1.000000x-1.000000x2.277148x2.277148x2.28x1.526%1.53%3.475%3.47%12-1.000000x-1.000000x2.209567x2.209567x2.21x2.953%2.95%6.525%6.53%13-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%14-1.000000x-1.000000x1.974359x1.974359x1.97x10.714%10.7%21.154%21.2%15-1.000000x-1.000000x1.913109x1.913109x1.91x1.330%1.33%2.545%2.55%16-1.000000x-1.000000x1.864145x1.864145x1.86x3.069%3.07%5.720%5.72%17-1.000000x-1.000000x1.855485x1.855485x1.86x2.256%2.26%4.185%4.19%18-1.000000x-1.000000x1.725152x1.725152x1.73x2.984%2.98%5.147%5.15%19-1.000000x-1.000000x1.708618x1.708618x1.71x9.075%9.07%15.505%15.5%20-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%21-1.000000x-1.000000x1.693783x1.693783x1.69x0.936%0.94%1.585%1.59%22-1.000000x-1.000000x1.663311x1.663311x1.66x6.193%6.19%10.301%10.3%23-1.000000x-1.000000x1.656396x1.656396x1.66x10.517%10.5%17.420%17.4%24-1.000000x-1.000000x1.632200x1.632200x1.63x0.991%0.99%1.617%1.62%25-1.000000x-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-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.570537x1.570537x1.57x15.639%15.6%24.561%24.6%26-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522931x1.522931x1.52x4.569%4.57%6.958%6.96%27-1.000000x-1.000000x1.508421x1.508421x1.51x2.876%2.88%4.339%4.34%28-1.000000x-1.000000x1.496511x1.496511x1.50x5.253%5.25%7.861%7.86%29-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%-1.000000x-1.000000x1.475485x1.475485x1.48x2.501%2.50%3.691%3.69%30-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%31-1.000000x-1.000000x1.442450x1.442450x1.44x3.694%3.69%5.328%5.33%32-1.000000x-1.000000x1.415052x1.415052x1.42x3.061%3.06%4.331%4.33%33-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%34-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%35-1.000000x-1.000000x1.350002x1.350002x1.35x2.361%2.36%3.187%3.19%36-1.000000x-1.000000x1.244466x1.244466x1.24x5.003%5.00%6.226%6.23%37-1.000000x-1.000000x1.211592x1.211592x1.21x2.722%2.72%3.299%3.30%38-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%39-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%40-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%41-1.124115x-1.124115x1.12x1.000000x1.000000x3.400%3.40%3.025%3.02%42-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%43-1.242283x-1.242283x1.24x1.000000x1.000000x3.153%3.15%2.538%2.54%44-1.299297x-1.299297x1.30x1.000000x1.000000x3.804%3.80%2.928%2.93%45-1.387943x-1.387943x1.39x1.000000x1.000000x2.818%2.82%2.031%2.03%46-1.819215x-1.819215x1.82x1.000000x1.000000x2.273%2.27%1.249%1.25%47-2.121025x-2.121025x2.12x1.000000x1.000000x1.487%1.49%0.701%0.70%48-7.565151x-7.565151x7.57x1.000000x1.000000x1.773%1.77%0.234%0.23%49
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 49 by male-to-female sex ratio

Educational Attainment by County Subdivision in Wisconsin

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

No H.S. Diploma by County Subdivision#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Milwaukee, selected other county subdivisions in Wisconsin, and entities that contain Milwaukee
0%5%10%15%Count#BeloitRacineMilwaukeeMilwaukee School DistrictMilwaukeeMilwaukeeMilwaukee CountyMilwaukeeUnited States of AmericaUnited StatesGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshBeaver DamMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSouth MilwaukeeS MilwaukeeMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaWest BendSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekGermantownOnalaskaMadisonMenomonee FallsNew BerlinOconomowocSun PrairieDe PereMuskegoWauwatosaBrookfieldMiddletonMequon18.491431%18.491431%18.5%4,197117.907441%17.907441%17.9%8,710217.485105%17.485105%17.5%63,80063.8k17.485105%17.485105%17.5%63,80063.8k17.485105%17.485105%17.5%63,80063.8k313.092854%13.092854%13.1%81,52281.5k13.020590%13.020590%13.0%27,818,38027.8M12.535944%12.535944%12.5%8,414411.643417%11.643417%11.6%3,806511.549265%11.549265%11.5%7,360611.206563%11.206563%11.2%2,609711.082337%11.082337%11.1%1,455810.776184%10.776184%10.8%2,885910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,399109.995428%9.995428%10.0%4,154119.950027%9.950027%10.0%1,115129.572772%9.572772%9.6%100,754101k9.190270%9.190270%9.2%1,379138.829004%8.829004%8.8%1,091148.713948%8.713948%8.7%2,547158.662728%8.662728%8.7%1,613168.637220%8.637220%8.6%336,096336k8.522583%8.522583%8.5%3,704178.211921%8.211921%8.2%620188.204982%8.204982%8.2%2,296197.709924%7.709924%7.7%1,111207.618904%7.618904%7.6%3,034217.392323%7.392323%7.4%1,924227.158983%7.158983%7.2%3,393237.144208%7.144208%7.1%1,133247.116644%7.116644%7.1%2,075257.048284%7.048284%7.0%889266.746719%6.746719%6.7%1,208276.565400%6.565400%6.6%1,422286.289585%6.289585%6.3%1,142296.244351%6.244351%6.2%829306.168099%6.168099%6.2%739316.128290%6.128290%6.1%2,398326.111996%6.111996%6.1%883336.065319%6.065319%6.1%780346.042598%6.042598%6.0%1,149355.863324%5.863324%5.9%1,015365.765641%5.765641%5.8%1,421375.227570%5.227570%5.2%719384.888290%4.888290%4.9%617394.836248%4.836248%4.8%7,351404.484909%4.484909%4.5%1,165414.236891%4.236891%4.2%1,267423.988090%3.988090%4.0%442433.955766%3.955766%4.0%812443.911088%3.911088%3.9%600453.554446%3.554446%3.6%598463.390471%3.390471%3.4%1,167472.806979%2.806979%2.8%761482.731305%2.731305%2.7%351492.107701%2.107701%2.1%35550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Milwaukee, selected other county subdivisions in Wisconsin, and entities that contain Milwaukee
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocMenomonee FallsSun PrairieNew BerlinGermantownFranklinStevens PointDe PereWaukeshaOnalaskaMenomonieMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteOak CreekUnited States of AmericaUnited StatesMilwaukee CountyMilwaukeeMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardEast North CentralWisconsinMarshfieldWest BendAshwaubenonWausauOshkoshGreen BayWest AllisFond du LacMilwaukeeMilwaukee School DistrictMilwaukeeMilwaukeeKenoshaSuperiorJanesvilleCudahyManitowocSouth MilwaukeeS MilwaukeeSheboyganBeaver DamRacineBeloitWisconsin Rapids63.254765%63.254765%63.3%10,65410.7k158.898140%58.898140%58.9%7,569258.155142%58.155142%58.2%20,01720.0k358.053926%58.053926%58.1%15,73915.7k456.337583%56.337583%56.3%85,63285.6k546.358754%46.358754%46.4%8,632644.229902%44.229902%44.2%4,902741.080228%41.080228%41.1%10,67110.7k841.077605%41.077605%41.1%8,432940.780498%40.780498%40.8%12,19512.2k1039.610295%39.610295%39.6%5,4481137.841472%37.841472%37.8%9,8491236.471240%36.471240%36.5%5,2691336.151489%36.151489%36.2%5,5461435.550164%35.550164%35.6%16,84916.8k1535.152908%35.152908%35.2%4,4371635.139073%35.139073%35.1%2,6531733.810164%33.810164%33.8%355,854356k33.499762%33.499762%33.5%5,6361833.074254%33.074254%33.1%4,7661932.942347%32.942347%32.9%9,6052032.747831%32.747831%32.7%6,2272132.464907%32.464907%32.5%5,6202232.432916%32.432916%32.4%12,69112.7k2332.296218%32.296218%32.3%12,86112.9k2432.202535%32.202535%32.2%5,1072531.640023%31.640023%31.6%7,7982630.315023%30.315023%30.3%64,767,78764.8M29.748251%29.748251%29.7%185,226185k28.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0932728.919296%28.919296%28.9%5,1782828.909310%28.909310%28.9%3,8382928.794712%28.794712%28.8%3,7033028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.348305%28.348305%28.3%3,5033127.212706%27.212706%27.2%5,8943226.525332%26.525332%26.5%3,1783325.519199%25.519199%25.5%6,8323424.478452%24.478452%24.5%10,17310.2k3524.139215%24.139215%24.1%16,20216.2k3623.980394%23.980394%24.0%10,51910.5k3723.606692%23.606692%23.6%6,9003823.517740%23.517740%23.5%85,81285.8k23.517740%23.517740%23.5%85,81285.8k23.517740%23.517740%23.5%85,81285.8k3922.927488%22.927488%22.9%14,61114.6k4022.415597%22.415597%22.4%4,0704122.035848%22.035848%22.0%9,5774221.471552%21.471552%21.5%2,8194321.017138%21.017138%21.0%4,8934420.519827%20.519827%20.5%3,0794519.530103%19.530103%19.5%6,3844618.623951%18.623951%18.6%2,0874717.525031%17.525031%17.5%8,5244816.605719%16.605719%16.6%3,7694915.880441%15.880441%15.9%2,00350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Milwaukee, selected other county subdivisions in Wisconsin, and entities that contain Milwaukee
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeNeenahFranklinDe PereGermantownMilwaukee CountyMilwaukeeMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieBeaver DamWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWaukeshaMilwaukeeMilwaukee School DistrictMilwaukeeMilwaukeeGreenfieldOak CreekBeloitGreen BayKenoshaWisconsin RapidsJanesvilleOshkoshSuperiorFond du LacHowardCudahyWest BendWest AllisRacineManitowocSouth MilwaukeeS MilwaukeeSheboyganAshwaubenon11.084724%11.084724%11.1%1,867110.022566%10.022566%10.0%1,28829.217661%9.217661%9.2%2,49939.171173%9.171173%9.2%13,94013.9k48.094131%8.094131%8.1%2,78657.196563%7.196563%7.2%1,34065.867120%5.867120%5.9%72574.993377%4.993377%5.0%37784.777583%4.777583%4.8%1,39394.679172%4.679172%4.7%676104.547615%4.547615%4.5%574114.222683%4.222683%4.2%468123.762039%3.762039%3.8%1,125133.336158%3.336158%3.3%7,127,6737.13M3.295350%3.295350%3.3%856143.288352%3.288352%3.3%675153.286157%3.286157%3.3%34,58734.6k3.188724%3.188724%3.2%552163.100626%3.100626%3.1%807173.083241%3.083241%3.1%473182.995492%2.995492%3.0%412192.985811%2.985811%3.0%18,59118.6k2.893416%2.893416%2.9%1,311,0191.31M2.869921%2.869921%2.9%1,123202.855432%2.855432%2.9%896,039896k2.794937%2.794937%2.8%1,113212.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450222.637058%2.637058%2.6%380232.552204%2.552204%2.6%286242.416704%2.416704%2.4%647252.396116%2.396116%2.4%380262.356884%2.356884%2.4%422272.303445%2.303445%2.3%438282.244652%2.244652%2.2%298292.192214%2.192214%2.2%1,039302.043126%2.043126%2.0%7,4552.043126%2.043126%2.0%7,4552.043126%2.043126%2.0%7,455311.868992%1.868992%1.9%523321.809624%1.809624%1.8%446331.784377%1.784377%1.8%405341.777440%1.777440%1.8%1,193351.762204%1.762204%1.8%1,123361.688734%1.688734%1.7%213371.555418%1.555418%1.6%676381.549604%1.549604%1.5%644391.525582%1.525582%1.5%277401.454035%1.454035%1.5%425411.384137%1.384137%1.4%178421.302460%1.302460%1.3%171431.292765%1.292765%1.3%280441.251567%1.251567%1.3%549451.155451%1.155451%1.2%562461.133972%1.133972%1.1%264470.893036%0.893036%0.9%134480.868820%0.868820%0.9%284490.784576%0.784576%0.8%9450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Milwaukee, selected other county subdivisions in Wisconsin, and entities that contain Milwaukee
Female
Male
1x0x1x2xFM#De PereMenashaOshkoshFranklinCaledoniaManitowocGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorStevens PointAppletonWisconsinRacineGrand ChuteGermantownMadisonMuskegoKenoshaMequonMidwestEast North CentralMilwaukeeMilwaukeeMilwaukeeWest BendOnalaskaMilwaukeeUnited StatesEau ClaireWisconsin RapidsMilwaukeeMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%1-1.000000x-1.000000x1.888774x1.888774x1.89x4.337%4.34%8.192%8.19%2-1.000000x-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.534399x1.534399x1.53x5.333%5.33%8.182%8.18%5-1.000000x-1.000000x1.432549x1.432549x1.43x9.294%9.29%13.313%13.3%6-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%7-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%9-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%10-1.000000x-1.000000x1.294088x1.294088x1.29x7.468%7.47%9.664%9.66%11-1.000000x-1.000000x1.293422x1.293422x1.29x5.323%5.32%6.885%6.89%12-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%13-1.000000x-1.000000x1.229327x1.229327x1.23x5.499%5.50%6.760%6.76%14-1.000000x-1.000000x1.219351x1.219351x1.22x6.887%6.89%8.397%8.40%15-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.214505x1.214505x1.21x16.245%16.2%19.730%19.7%16-1.000000x-1.000000x1.207489x1.207489x1.21x6.484%6.48%7.830%7.83%17-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%18-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%19-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%20-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%21-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%22-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%23-1.000000x-1.000000x1.118245x1.118245x1.12x6.211%6.21%6.945%6.95%24-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%25-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.104897x1.104897x1.10x5.834%5.83%6.446%6.45%26-1.000000x-1.000000x1.104741x1.104741x1.10x6.724%6.72%7.428%7.43%27-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.077248x1.077248x1.08x4.329%4.33%4.663%4.66%28-1.000000x-1.000000x1.069954x1.069954x1.07x17.920%17.9%19.173%19.2%29-1.000000x-1.000000x1.063348x1.063348x1.06x9.653%9.65%10.265%10.3%30-1.000000x-1.000000x1.059381x1.059381x1.06x6.918%6.92%7.329%7.33%31-1.000000x-1.000000x1.056613x1.056613x1.06x5.903%5.90%6.237%6.24%32-1.000000x-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%33-1.000000x-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%34-1.000000x-1.000000x1.022109x1.022109x1.02x2.704%2.70%2.764%2.76%35-1.000000x-1.000000x1.018058x1.018058x1.02x8.641%8.64%8.797%8.80%36-1.000000x-1.000000x1.015610x1.015610x1.02x8.765%8.76%8.902%8.90%37-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%38-1.000000x-1.000000x1.004509x1.004509x1.00x11.618%11.6%11.670%11.7%39-1.001253x-1.001253x1.00x1.000000x1.000000x5.867%5.87%5.859%5.86%40-1.016031x-1.016031x1.02x1.000000x1.000000x8.734%8.73%8.596%8.60%41-1.022158x-1.022158x1.02x1.000000x1.000000x3.997%4.00%3.910%3.91%42-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%43-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%44-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%45-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%46-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%47-1.237978x-1.237978x1.24x1.000000x1.000000x6.794%6.79%5.488%5.49%48-1.368790x-1.368790x1.37x1.000000x1.000000x9.414%9.41%6.877%6.88%49-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#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 Milwaukee, selected other county subdivisions in Wisconsin, and entities that contain Milwaukee
Female
Male
1x0x1x2x3xFM#NeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauFitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinWest AllisWauwatosaWest BendEast North CentralMidwestMilwaukeeWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocMilwaukeeFranklinLa CrosseS MilwaukeeMiddletonMenomonee FallsMadisonMilwaukeeMilwaukeeMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaOconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-1.000000x-1.000000x3.129204x3.129204x3.13x1.585%1.59%4.960%4.96%1-1.000000x-1.000000x2.927208x2.927208x2.93x1.353%1.35%3.961%3.96%2-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%3-1.000000x-1.000000x2.628013x2.628013x2.63x2.819%2.82%7.408%7.41%4-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%5-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%6-1.000000x-1.000000x2.492011x2.492011x2.49x0.802%0.80%1.999%2.00%7-1.000000x-1.000000x2.351130x2.351130x2.35x3.588%3.59%8.437%8.44%8-1.000000x-1.000000x2.345235x2.345235x2.35x6.743%6.74%15.813%15.8%9-1.000000x-1.000000x2.320788x2.320788x2.32x0.952%0.95%2.209%2.21%10-1.000000x-1.000000x2.236989x2.236989x2.24x0.541%0.54%1.209%1.21%11-1.000000x-1.000000x2.147202x2.147202x2.15x0.747%0.75%1.604%1.60%12-1.000000x-1.000000x2.134058x2.134058x2.13x1.646%1.65%3.514%3.51%13-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%14-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%15-1.000000x-1.000000x2.005610x2.005610x2.01x1.223%1.22%2.453%2.45%16-1.000000x-1.000000x1.994529x1.994529x1.99x3.154%3.15%6.290%6.29%17-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%18-1.000000x-1.000000x1.808864x1.808864x1.81x5.081%5.08%9.190%9.19%19-1.000000x-1.000000x1.806537x1.806537x1.81x2.381%2.38%4.302%4.30%20-1.000000x-1.000000x1.786228x1.786228x1.79x2.083%2.08%3.720%3.72%21-1.000000x-1.000000x1.747870x1.747870x1.75x1.115%1.12%1.949%1.95%22-1.000000x-1.000000x1.733790x1.733790x1.73x2.062%2.06%3.574%3.57%23-1.000000x-1.000000x1.728996x1.728996x1.73x1.083%1.08%1.873%1.87%24-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%25-1.000000x-1.000000x1.693783x1.693783x1.69x0.936%0.94%1.585%1.59%26-1.000000x-1.000000x1.663311x1.663311x1.66x6.193%6.19%10.301%10.3%27-1.000000x-1.000000x1.632200x1.632200x1.63x0.991%0.99%1.617%1.62%28-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557391x1.557391x1.56x1.833%1.83%2.855%2.85%29-1.000000x-1.000000x1.550147x1.550147x1.55x1.851%1.85%2.870%2.87%30-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.516809x1.516809x1.52x1.222%1.22%1.853%1.85%31-1.000000x-1.000000x1.494707x1.494707x1.49x0.918%0.92%1.372%1.37%32-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%-1.000000x-1.000000x1.475485x1.475485x1.48x2.501%2.50%3.691%3.69%33-1.000000x-1.000000x1.473120x1.473120x1.47x3.888%3.89%5.727%5.73%34-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%35-1.000000x-1.000000x1.452651x1.452651x1.45x8.299%8.30%12.055%12.1%36-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%37-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%38-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%39-1.000000x-1.000000x1.363936x1.363936x1.36x2.638%2.64%3.598%3.60%40-1.000000x-1.000000x1.256412x1.256412x1.26x2.128%2.13%2.674%2.67%41-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%42-1.000000x-1.000000x1.211592x1.211592x1.21x2.722%2.72%3.299%3.30%43-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%44-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%45-1.000000x-1.000000x1.014900x1.014900x1.01x1.677%1.68%1.702%1.70%46-1.000000x-1.000000x1.008002x1.008002x1.01x2.236%2.24%2.254%2.25%47-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%48-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%49-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Milwaukee, selected other county subdivisions in the Midwest, and entities that contain Milwaukee
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeMilwaukee School DistrictMilwaukeeMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsMilwaukee CountyMilwaukeeUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k17.485105%17.485105%17.5%63,80063.8k17.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.092854%13.092854%13.1%81,52281.5k13.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.572772%9.572772%9.6%100,754101k8.637220%8.637220%8.6%336,096336k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Milwaukee, selected other county subdivisions in the Midwest, and entities that contain Milwaukee
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMilwaukee CountyMilwaukeeMidwestWichitaEast North CentralWisconsinSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeMilwaukee School DistrictMilwaukeeMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.810164%33.810164%33.8%355,854356k33.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2929.748251%29.748251%29.7%185,226185k28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k23.517740%23.517740%23.5%85,81285.8k23.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Milwaukee, selected other county subdivisions in the Midwest, and entities that contain Milwaukee
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeTopekaGrand RapidsLawrence TownshipLawrenceMilwaukee CountyMilwaukeeSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeMilwaukee School DistrictMilwaukeeMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.985811%2.985811%3.0%18,59118.6k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.703886%2.703886%2.7%105,215105k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,4552.043126%2.043126%2.0%7,4552.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Milwaukee, selected other county subdivisions in the Midwest, and entities that contain Milwaukee
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoWisconsinThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeMilwaukeeMilwaukeeKaw TownshipDaytonMilwaukeeSioux FallsUnited StatesOlatheMilwaukeeWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#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 Milwaukee, selected other county subdivisions in the Midwest, and entities that contain Milwaukee
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleMilwaukeeWisconsinKansas CityAuroraUnited StatesAnn ArborMilwaukeeTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeMilwaukeeMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Milwaukee, selected other county subdivisions in the United States, and entities that contain Milwaukee
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeeMilwaukee School DistrictMilwaukeeMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverMilwaukee CountyMilwaukeeUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeAtlantaSeattleWisconsinNortheast TarrantNE TarrantPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k17.485105%17.485105%17.5%63,80063.8k17.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.092854%13.092854%13.1%81,52281.5k13.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.572772%9.572772%9.6%100,754101k9.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.637220%8.637220%8.6%336,096336k8.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Milwaukee, selected other county subdivisions in the United States, and entities that contain Milwaukee
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonMilwaukee CountyMilwaukeeBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…WisconsinSacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeMilwaukee School DistrictMilwaukeeMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.810164%33.810164%33.8%355,854356k33.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.748251%29.748251%29.7%185,226185k29.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.373439%28.373439%28.4%1,104,0821.10M28.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k23.517740%23.517740%23.5%85,81285.8k23.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Milwaukee, selected other county subdivisions in the United States, and entities that contain Milwaukee
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMilwaukee CountyMilwaukeeMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeMilwaukee School DistrictMilwaukeeMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.985811%2.985811%3.0%18,59118.6k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.703886%2.703886%2.7%105,215105k2.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,4552.043126%2.043126%2.0%7,4552.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Milwaukee, selected other county subdivisions in the United States, and entities that contain Milwaukee
Female
Male
1x0x1xFM#1, CharlotteDetroitWisconsinBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeMilwaukeeMilwaukeeMilwaukeeUnited StatesMilwaukeeNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#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 Milwaukee, selected other county subdivisions in the United States, and entities that contain Milwaukee
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestMilwaukeeNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseMilwaukeeHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeMilwaukeeMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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Demographics

Income

Education

More Maps to Explore

State:
Wisconsin
County:
Milwaukee
Metro Area:
Milwaukee Area
City:
Milwaukee
ZIP Codes:
53110, 53154, 53202, 53203, 53204, 53205, 53206, 53207, 53208, 53209, 53210, 53211, 53212, 53213, 53214, 53215, 53216, 53217, 53218, 53219, 53220, 53221, 53222, 53223, 53224, 53225, 53226, 53227, 53228, 53233, 53235, 53295
Unified School District:
Milwaukee
Neighborhoods:
Alcott Park, Alverno, Arlington Gardens, Arlington Heights, Avenues West, Baran Park, Bay View, Bluemound Heights, Borchert Field, Bradley Estates, Brewer's Hill, Brown Deer Park, Brynwood, Buchel Park, Burnham Park, Calumet Farms, Cambridge Heights, Cannon Park, Capitol Heights, Castle Manor, Charles Jacobus Park, Clarke Square, Clayton Crest, Clock Tower Acres, Cold Sprint Park, College Heights, Columbus Park, Concordia, Cooper Park, Copernicus Park, Dineen Park, Downer Woods, Dretzka Park, Enderis Park, Estabrook Park, Euclid Park, Fair Park, Fairfield, Fairview, Fernwood, Florist Highlands, Forest Home Hills, Franklin Heights, Freedom Heights, Garden Homes, Golden Gate, Golden Valley, Goldman Park, Gra-Ram, Graceland, Grantosa, Granville Station, Granville Woods, Grasslyn Manor, Green Moor, Grover Heights, Halyard Park, Hampton Heights, Harambee, Harbor View, Harder's Oaks, Havenwoods, Hawley Farms, Hawthorne Glen, Haymarket, Heritage Heights, Highwood Estates, Hillside, Hilltop Paris, Historic Mitchell Street, Historic Third Ward, Holler Park, Honey Creek Manor, Honey Creek Parkway, Jackson Park, Johnson's Woods, Jones'Island, Juneau Town, Kilbourn Town, King Park, Kops Park, LaFollette Park, Lake Park, Land Bank, Layton Park, Lenox Heights, Lincoln Creek, Lincoln Heights, Lincoln Park, Lincoln Village, Lindsay Park, Little Menomonee Parkway, Long View, Lower East Side, Lyons Park, Mack Acres, Maitland Park, Maple Tree, Marquette, Martin Drive, McGeoach Meadows, McGovern Park, Meadowmere, Melody View, Menomonee River Hills, Menomonee River Hills East, Menomonee River Parkway, Menomonee River Valley, Merrill Park, Metcalfe Park, Midtown, Mill Valley, Miller Valley, Mitchell Field, Mitchell Park, Mitchell West, Morgan Heights, Morgandale, Mount Mary, Mount Olivet, Murray Hill, Muskego Way, Nash Park, National Park, New Coeln, North Division, North Granville, North Meadows, Northpoint, Northridge, Northridge Lakes, Old North Milwaukee, Park Knoll, Park Place, Park Ridge, Park View, Park West, Parkway Hills, Pheasant Run, Pollber Heights, Polonia, Quarry Heights, Ravenswood, Red Oak Heights, Ridgeview, River Bend, Riverside Park, Riverton Heights, Riverwest, Rolling Green, Roosevelt Grove, Root Creet, Rosehill, Rufus King, Saint Joseph, Saveland Park, Schlitz Park, Servite Woods, Sheraton Lawns, Sherman Park, Silver City, Silver Spring, Silver Swan, Six Points, Southgate, Southpoint, St. Amelian's, Story Hill, Sunset Heights, The Valley-Pigsville, Thurston Woods, Timmerman Airport, Timmerman West, Tippecanoe, Tosa East Town, Tosa Heights, Town & Country Manor, Town of Lake, Triangle, Triangle North, Tripoli Park, Upper East Side, Uptown, Valhalla, Valley Forge, Veterans Affairs, Vogel Park, Wahl Park, Walker's Point, Walnut Hill, Washington Heights, Washington Park, Wedgewood, Wellauer Heights, West View, Whispering Hills, White Manor, Wick Field, Williamsburg, Wilson Park, Woodland Court, Wyrick Park, Yankee Hill, Zoo
Congressional District:
WI-4
State Senate Districts:
WI-3, WI-4, WI-5, WI-6, WI-7, WI-8, WI-28
Assembly Districts:
WI-7, WI-8, WI-9, WI-10, WI-11, WI-12, WI-13, WI-14, WI-16, WI-17, WI-18, WI-19, WI-20, WI-22, WI-84
Nearby Towns:
Brookfield