Educational Attainment in Milwaukee County, Wisconsin (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wisconsin and Milwaukee County
Milwaukee County
Wisconsin
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma237.465008%38.686675%37.465008%37.5%233,274233k49.442138%52.676105%49.442138%49.4%307,849308k13.092854%8.637220%13.092854%13.1%81,52281.5k
Count number of people in category
1Post-Secondary Degree 2H.S. = High School

Relative Educational Attainment#2

Highest level of education among people aged 25 years and older, as percentage more or less than Wisconsin at large.
Scope: population of Wisconsin and Milwaukee County
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-3.157848%-3.157848%-3.2%37.465%37.5%38.687%38.7%-6.139344%-6.139344%-6.1%49.442%49.4%52.676%52.7%51.586433%51.586433%+51.6%13.093%13.1%8.637%8.64%
% percentage with given level in Milwaukee County
ref. percentage with given level in Wisconsin
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Wisconsin and Milwaukee County
Milwaukee County
Wisconsin
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.164548%1.094506%1.164548%1.2%7,2511.821263%1.609379%1.821263%1.8%11,34011.3k7.552939%6.922399%7.552939%7.6%47,02847.0k19.209501%18.747154%19.209501%19.2%119,607120k7.716757%10.313236%7.716757%7.7%48,04848.0k21.525107%20.983992%21.525107%21.5%134,025134k27.917031%31.692113%27.917031%27.9%173,824174k8.488465%5.657202%8.488465%8.5%52,85352.9k3.119755%2.130908%3.119755%3.1%19,42519.4k1.484634%0.849110%1.484634%1.5%9,244
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Wisconsin at large.
Scope: population of Wisconsin and Milwaukee County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None6.399385%6.399385%+6.4%1.165%1.16%1.095%1.09%13.165532%13.165532%+13.2%1.821%1.82%1.609%1.61%9.108695%9.108695%+9.1%7.553%7.55%6.922%6.92%2.466228%2.466228%+2.5%19.210%19.2%18.747%18.7%-25.176183%-25.176183%-25.2%7.717%7.72%10.313%10.3%2.578703%2.578703%+2.6%21.525%21.5%20.984%21.0%-11.911740%-11.911740%-11.9%27.917%27.9%31.692%31.7%50.047037%50.047037%+50.0%8.488%8.49%5.657%5.66%46.404971%46.404971%+46.4%3.120%3.12%2.131%2.13%74.845962%74.845962%+74.8%1.485%1.48%0.849%0.85%
% percentage with given level in Milwaukee County
ref. percentage with given level in Wisconsin
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Wisconsin and Milwaukee County
More Females More Males
Wisconsin
Milwaukee County
0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-5.736445%-9.820753%-5.736445%6%38.449%38.4%36.363%36.4%1.435259%3.687318%1.435259%1%49.110%49.1%49.814%49.8%11.101296%21.929118%11.101296%11%12.441%12.4%13.822%13.8%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Wisconsin and Milwaukee County
More Females More Males
Wisconsin
Milwaukee County
20%0%20%40%60%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None41.183942%49.112245%41.183942%41%0.975%0.98%1.377%1.38%54.685369%63.725126%54.685369%55%1.448%1.45%2.239%2.24%-25.089758%-26.714257%-25.089758%25%8.343%8.34%6.669%6.67%-5.741409%-10.314398%-5.741409%6%19.715%19.7%18.644%18.6%-7.202553%-14.230343%-7.202553%7%7.969%7.97%7.434%7.43%-2.303568%-1.828461%-2.303568%2%21.756%21.8%21.266%21.3%4.367805%7.484254%4.367805%4%27.353%27.4%28.548%28.5%14.024522%27.756322%14.024522%14%7.962%7.96%9.078%9.08%9.179945%11.346432%9.179945%9%2.990%2.99%3.265%3.26%-0.672341%-0.672341%1%12.366663%1.489%1.49%1.479%1.48%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Wisconsin and Milwaukee County
Milwaukee County
Wisconsin
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3412.570578%12.755764%12.570578%12.6%14,60514.6k116,184116k17.008996%17.674080%17.008996%17.0%39,40139.4k231,648232k20.529209%22.171538%20.529209%20.5%24,57124.6k119,688120k26.449637%25.037795%26.449637%26.4%41,03041.0k155,125155k
B.X. number of people with a Bachelor's degree
Total number of people in age cohort

Relative Bachelor's Degrees By Age#8

Percentage of population whose highest degree is a Bachelor's, as a percentage more or less than Wisconsin at large.
Scope: population of Wisconsin and Milwaukee County
6%4%2%0%2%4%%ref.65+45-6435-4425-34-1.451787%-1.451787%1.5%12.571%12.6%12.756%12.8%-3.763047%-3.763047%3.8%17.009%17.0%17.674%17.7%-7.407373%-7.407373%7.4%20.529%20.5%22.172%22.2%5.638843%5.638843%5.6%26.450%26.4%25.038%25.0%
% percentage in Milwaukee County with a Bachelor's degree
ref percentage in Wisconsin with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Wisconsin and Milwaukee County
More Females More Males
Wisconsin
Milwaukee County
20%10%0%10%FM65+45-6435-4425-3412.604498%15.252186%12.604498%12.6%11.948%11.9%13.454%13.5%-7.624074%-8.291196%-7.624074%7.6%17.611%17.6%16.363%16.4%-9.159450%-22.719305%-9.159450%9.2%21.407%21.4%19.610%19.6%-14.917892%-29.514910%-14.917892%14.9%28.235%28.2%24.570%24.6%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Wisconsin and Milwaukee County
Milwaukee County
Wisconsin
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$61,819.000000$61,842.000000$61,819.000000$61.8k65,61965.6k10.539%10.5%$47,021.000000$48,286.000000$47,021.000000$47.0k119,607120k19.210%19.2%$31,302.000000$34,771.000000$31,302.000000$31.3k182,073182k29.242%29.2%$27,290.000000$30,475.000000$27,290.000000$27.3k173,824174k27.917%27.9%$20,853.000000$22,317.000000$20,853.000000$20.9k81,52281.5k13.093%13.1%$35,364.000000$36,855.000000$35,364.000000$35.4k622,645623k100.000%100%
Count number of people with given highest level of educational attainment
% percentage of people with given highest level of educational attainment
1or professional degree 2H.S. = High School

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of Wisconsin and Milwaukee County
Female Male
Wisconsin
Milwaukee County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-55,738.000000$-55,037.000000$-55,738.000000$55.7k$55,738.000000$13,799.000000$55,037.000000$18,141.000000$69,537.000000$69.5k35,39735.4k30,22230.2k$-41,982.000000$-40,915.000000$-41,982.000000$42.0k$41,982.000000$11,670.000000$40,915.000000$18,355.000000$53,652.000000$53.7k64,82364.8k54,78454.8k$-27,720.000000$-28,362.000000$-27,720.000000$27.7k$27,720.000000$9,789.000000$28,362.000000$14,055.000000$37,509.000000$37.5k97,74097.7k84,33384.3k$-23,548.000000$-23,872.000000$-23,548.000000$23.5k$23,548.000000$7,809.000000$23,872.000000$12,519.000000$31,357.000000$31.4k89,93989.9k83,88583.9k$-16,641.000000$-16,775.000000$-16,641.000000$16.6k$16,641.000000$7,203.000000$16,775.000000$9,472.000000$23,844.000000$23.8k40,90740.9k40,61540.6k$-31,167.000000$-30,829.000000$-31,167.000000$31.2k$31,167.000000$9,085.000000$30,829.000000$12,328.000000$40,252.000000$40.3k328,806329k293,839294k
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Wisconsin and Milwaukee County
Milwaukee County
Wisconsin
0%10%20%30%40%50%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma346.538462%32.763533%46.538462%46.5%12149.615385%54.226021%49.615385%49.6%1293.846154%12.203229%3.846154%3.8%100.000000%0.000000%0.0%0.807217%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Wisconsin and Milwaukee County
Milwaukee County
Wisconsin
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.597737%85.899471%86.597737%86.6%137,861138k74.714767%79.335494%74.714767%74.7%115,648116k65.937507%73.240943%65.937507%65.9%87,17487.2k47.259876%53.971506%47.259876%47.3%28,48428.5k
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Wisconsin and Milwaukee County
Female Male
Wisconsin
Milwaukee County
Shaded bar tips show excess over facing bar.
20%0%20%MFWhite1BlackAsianHispanic2Other1-5.992923%-5.697819%-5.992923%6.0%5.992923%0.476947%5.697819%1.469036%6.469870%6.5%11,76311.8k11,83811.8k-18.018911%-17.429079%-18.018911%18.0%18.018911%2.722450%17.429079%2.936718%20.741361%20.7%12,62912.6k14,54014.5k-16.163004%-8.848287%-14.441272%-4.641233%-25.011291%25.0%16.163004%14.441272%16.163004%16.2%1,7652,769-33.361162%-31.307944%-33.361162%33.4%33.361162%5.713973%31.307944%5.178771%39.075135%39.1%13,91713.9k11,18911.2k-28.239203%-22.693686%-28.239203%28.2%28.239203%7.870881%22.693686%3.979967%36.110084%36.1%6,8365,355
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Wisconsin and Milwaukee County
Female Male
Wisconsin
Milwaukee County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-37.923789%-1.355723%-28.711494%-2.079187%-39.279513%39.3%37.923789%28.711494%37.923789%37.9%68,95069.0k77,59077.6k-10.553804%-4.240540%-11.717867%-3.588054%-14.794344%14.8%10.553804%11.717867%10.553804%10.6%6,42611,93811.9k-39.228615%-44.377167%-39.228615%39.2%39.228615%7.071751%44.377167%4.100638%46.300366%46.3%5,0564,343-9.265499%-4.414098%-10.433533%-4.583778%-13.679597%13.7%9.265499%10.433533%9.265499%9.3%3,3004,588-11.298928%-5.212173%-13.316792%-4.610459%-16.511101%16.5%11.298928%13.316792%11.298928%11.3%2,1393,131
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by County Subdivision in Milwaukee County

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

Percentage of the population 25 years and older with given highest level of educational attainment
29%40%50%60%70%81%

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

Percentage of the population 25 years and older with given highest level of educational attainment
17%26%35%43%51%60%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.0%4.9%8.7%12.6%16.4%20.2%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.2%1.7%3.1%4.6%6.0%7.5%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.6%3.9%7.2%10.5%13.8%17.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.0%6.5%10.0%13.5%17.0%20.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
14%20%25%30%35%40%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.0%4.0%5.9%7.8%9.7%11.6%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
11.2%14.2%17.1%20.1%23.0%26.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6%12%18%24%30%36%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.3%3.6%6.8%10.0%13.2%16.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.1%1.0%1.8%2.7%3.5%4.4%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.07%0.51%0.94%1.38%1.81%2.25%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Milwaukee County

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

Percentage of the population 25 years and older with given highest level of educational attainment
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%3.7%7.4%11.1%14.8%18.6%

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%4.7%9.5%14.2%19.0%23.8%

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%20%30%40%51%

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%3.6%7.1%10.7%14.3%17.9%

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
3%13%22%31%39%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 Place in Milwaukee County

There are 19 places that are fully or partially contained within Milwaukee County (17 fully and 2 partially). This section compares all 19 of those to each other, Milwaukee County, and other entities that contain or substantially overlap with Milwaukee County.

No H.S. Diploma by Place#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Milwaukee County, selected places in Milwaukee County, and entities that contain Milwaukee County
0%5%10%15%20%Count#West MilwaukeeW MilwaukeeMilwaukeeMilwaukee CountyMilwaukeeUnited States of AmericaUnited StatesSt. FrancisCudahyEast North CentralMidwestWest AllisMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSouth MilwaukeeS MilwaukeeWisconsinGreenfieldFranklinBrown DeerOak CreekHales CornersGlendaleWauwatosaGreendaleBaysideShorewoodWhitefish BayFox PointRiver Hills20.198675%20.198675%20.2%549117.485105%17.485105%17.5%63,80063.8k213.092854%13.092854%13.1%81,52281.5k13.020590%13.020590%13.0%27,818,38027.8M11.382006%11.382006%11.4%859311.082337%11.082337%11.1%1,455410.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,39959.572772%9.572772%9.6%100,754101k9.190270%9.190270%9.2%1,37968.637220%8.637220%8.6%336,096336k8.204982%8.204982%8.2%2,29677.392323%7.392323%7.4%1,92486.204545%6.204545%6.2%54695.765641%5.765641%5.8%1,421105.418012%5.418012%5.4%302114.601195%4.601195%4.6%439123.390471%3.390471%3.4%1,167133.368560%3.368560%3.4%357143.021978%3.021978%3.0%99152.374614%2.374614%2.4%223162.149733%2.149733%2.1%201171.951017%1.951017%2.0%94181.090909%1.090909%1.1%1219
Count number of people in category
# rank of place out of 19 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Milwaukee County, selected places in Milwaukee County, and entities that contain Milwaukee County
0%20%40%60%Count#Fox PointRiver HillsWhitefish BayBaysideShorewoodWauwatosaGlendaleGreendaleHales CornersFranklinBrown DeerMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeOak CreekUnited States of AmericaUnited StatesMilwaukee CountyMilwaukeeSt. FrancisMidwestGreenfieldEast North CentralWisconsinWest AllisMilwaukeeCudahySouth MilwaukeeS MilwaukeeWest MilwaukeeW Milwaukee76.587796%76.587796%76.6%3,690175.727273%75.727273%75.7%833272.160428%72.160428%72.2%6,747370.238095%70.238095%70.2%2,301467.511447%67.511447%67.5%6,340558.155142%58.155142%58.2%20,01720.0k651.200084%51.200084%51.2%4,885740.649179%40.649179%40.6%4,308839.092214%39.092214%39.1%2,179937.841472%37.841472%37.8%9,8491037.045455%37.045455%37.0%3,2601133.810164%33.810164%33.8%355,854356k31.640023%31.640023%31.6%7,7981230.315023%30.315023%30.3%64,767,78764.8M29.748251%29.748251%29.7%185,226185k29.177156%29.177156%29.2%2,2021328.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0931428.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M23.980394%23.980394%24.0%10,51910.5k1523.517740%23.517740%23.5%85,81285.8k1621.471552%21.471552%21.5%2,8191720.519827%20.519827%20.5%3,0791819.131714%19.131714%19.1%52019
Count number of people in category
# rank of place out of 19 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Milwaukee County, selected places in Milwaukee County, and entities that contain Milwaukee County
0%5%10%15%20%Count#River HillsFox PointShorewoodBaysideWhitefish BayWauwatosaGlendaleGreendaleUnited States of AmericaUnited StatesBrown DeerMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeFranklinMilwaukee CountyMilwaukeeMidwestHales CornersEast North CentralSt. FrancisWisconsinMilwaukeeGreenfieldOak CreekWest MilwaukeeW MilwaukeeCudahyWest AllisSouth MilwaukeeS Milwaukee21.181818%21.181818%21.2%233119.966791%19.966791%20.0%962213.736556%13.736556%13.7%1,290312.148962%12.148962%12.1%398412.064171%12.064171%12.1%1,12858.094131%8.094131%8.1%2,78666.435384%6.435384%6.4%61473.727118%3.727118%3.7%39583.336158%3.336158%3.3%7,127,6737.13M3.329545%3.329545%3.3%29393.286157%3.286157%3.3%34,58734.6k3.100626%3.100626%3.1%807102.985811%2.985811%3.0%18,59118.6k2.893416%2.893416%2.9%1,311,0191.31M2.870470%2.870470%2.9%160112.855432%2.855432%2.9%896,039896k2.756062%2.756062%2.8%208122.703886%2.703886%2.7%105,215105k2.043126%2.043126%2.0%7,455131.868992%1.868992%1.9%523141.809624%1.809624%1.8%446151.434879%1.434879%1.4%39161.302460%1.302460%1.3%171171.251567%1.251567%1.3%549180.893036%0.893036%0.9%13419
Count number of people in category
# rank of place out of 19 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by Place#45

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Milwaukee County, selected places in Milwaukee County, and entities that contain Milwaukee County
Female
Male
2x1x0x1x2xFM#River HillsGreendaleW MilwaukeeFranklinBrown DeerWauwatosaWhitefish BayWisconsinMidwestEast North CentralMilwaukeeMilwaukeeUnited StatesMilwaukeeOak CreekGlendaleGreenfieldHales CornersWest AllisS MilwaukeeCudahySt. FrancisFox PointShorewoodBayside-1.000000x-1.000000x2.271845x2.271845x2.27x0.684%0.68%1.553%1.55%1-1.000000x-1.000000x2.150369x2.150369x2.15x2.213%2.21%4.758%4.76%2-1.000000x-1.000000x1.722885x1.722885x1.72x14.842%14.8%25.571%25.6%3-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.321858x1.321858x1.32x5.408%5.41%7.148%7.15%5-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%6-1.000000x-1.000000x1.284172x1.284172x1.28x1.899%1.90%2.438%2.44%7-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-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%8-1.000000x-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-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%9-1.000000x-1.000000x1.046921x1.046921x1.05x4.505%4.51%4.717%4.72%10-1.000000x-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%11-1.023703x-1.023703x1.02x1.000000x1.000000x5.476%5.48%5.349%5.35%12-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%13-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%14-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%15-1.204832x-1.204832x1.20x1.000000x1.000000x12.389%12.4%10.283%10.3%16-1.271644x-1.271644x1.27x1.000000x1.000000x2.177%2.18%1.712%1.71%17-1.992381x-1.992381x1.99x1.000000x1.000000x3.093%3.09%1.553%1.55%18-2.265252x-2.265252x2.27x1.000000x1.000000x4.142%4.14%1.828%1.83%19
F percentage of females in category
M percentage of males in category
# rank of place out of 19 by male-to-female sex ratio

Over-Education Sex Ratio by Place#46

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Milwaukee County, selected places in Milwaukee County, and entities that contain Milwaukee County
Female
Male
2x0x2xFM#BaysideCudahyBrown DeerGreendaleRiver HillsWhitefish BayWest AllisWauwatosaShorewoodEast North CentralMidwestMilwaukeeWisconsinFox PointUnited StatesGlendaleMilwaukeeFranklinS MilwaukeeMilwaukeeSt. FrancisGreenfieldOak CreekHales CornersW Milwaukee-1.000000x-1.000000x3.594848x3.594848x3.59x5.385%5.38%19.357%19.4%1-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%2-1.000000x-1.000000x2.430005x2.430005x2.43x2.012%2.01%4.890%4.89%3-1.000000x-1.000000x2.289014x2.289014x2.29x2.351%2.35%5.381%5.38%4-1.000000x-1.000000x1.977841x1.977841x1.98x14.530%14.5%28.738%28.7%5-1.000000x-1.000000x1.708618x1.708618x1.71x9.075%9.07%15.505%15.5%6-1.000000x-1.000000x1.693783x1.693783x1.69x0.936%0.94%1.585%1.59%7-1.000000x-1.000000x1.663311x1.663311x1.66x6.193%6.19%10.301%10.3%8-1.000000x-1.000000x1.656396x1.656396x1.66x10.517%10.5%17.420%17.4%9-1.000000x-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%10-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.496511x1.496511x1.50x5.253%5.25%7.861%7.86%11-1.000000x-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%12-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%13-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%14-1.000000x-1.000000x1.350002x1.350002x1.35x2.361%2.36%3.187%3.19%15-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%16-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%17-1.242283x-1.242283x1.24x1.000000x1.000000x3.153%3.15%2.538%2.54%18-2.891477x-2.891477x2.89x1.000000x1.000000x2.131%2.13%0.737%0.74%19
F percentage of females in category
M percentage of males in category
# rank of place out of 19 by male-to-female sex ratio

Educational Attainment by County Subdivision in Milwaukee County

There are 20 county subdivisions in Milwaukee County. This section compares all 20 of those to each other, Milwaukee County, and other entities that contain or substantially overlap with Milwaukee County.

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 County, selected county subdivisions in Milwaukee County, and entities that contain Milwaukee County
0%5%10%15%20%Count#West MilwaukeeW MilwaukeeMilwaukeeMilwaukee CountyMilwaukeeUnited States of AmericaUnited StatesSt. FrancisCudahyEast North CentralMidwestWest AllisMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSouth MilwaukeeS MilwaukeeWisconsinGreenfieldFranklinBrown DeerOak CreekHales CornersGlendaleWauwatosaGreendaleBaysideShorewoodWhitefish BayFox PointRiver Hills20.198675%20.198675%20.2%549117.485105%17.485105%17.5%63,80063.8k213.092854%13.092854%13.1%81,52281.5k13.020590%13.020590%13.0%27,818,38027.8M11.382006%11.382006%11.4%859311.082337%11.082337%11.1%1,455410.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,39959.572772%9.572772%9.6%100,754101k9.190270%9.190270%9.2%1,37968.637220%8.637220%8.6%336,096336k8.204982%8.204982%8.2%2,29677.392323%7.392323%7.4%1,92486.204545%6.204545%6.2%54695.765641%5.765641%5.8%1,421105.418012%5.418012%5.4%302114.601195%4.601195%4.6%439123.390471%3.390471%3.4%1,167133.368560%3.368560%3.4%357143.045217%3.045217%3.0%99152.374614%2.374614%2.4%223162.149733%2.149733%2.1%201171.951017%1.951017%2.0%94181.090909%1.090909%1.1%1219
Count number of people in category
# rank of county subdivision out of 19 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 County, selected county subdivisions in Milwaukee County, and entities that contain Milwaukee County
0%20%40%60%Count#Fox PointRiver HillsWhitefish BayBaysideShorewoodWauwatosaGlendaleGreendaleHales CornersFranklinBrown DeerMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeOak CreekUnited States of AmericaUnited StatesMilwaukee CountyMilwaukeeSt. FrancisMidwestGreenfieldEast North CentralWisconsinWest AllisMilwaukeeCudahySouth MilwaukeeS MilwaukeeWest MilwaukeeW Milwaukee76.587796%76.587796%76.6%3,690175.727273%75.727273%75.7%833272.160428%72.160428%72.2%6,747370.009228%70.009228%70.0%2,276467.511447%67.511447%67.5%6,340558.155142%58.155142%58.2%20,01720.0k651.200084%51.200084%51.2%4,885740.649179%40.649179%40.6%4,308839.092214%39.092214%39.1%2,179937.841472%37.841472%37.8%9,8491037.045455%37.045455%37.0%3,2601133.810164%33.810164%33.8%355,854356k31.640023%31.640023%31.6%7,7981230.315023%30.315023%30.3%64,767,78764.8M29.748251%29.748251%29.7%185,226185k29.177156%29.177156%29.2%2,2021328.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0931428.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M23.980394%23.980394%24.0%10,51910.5k1523.517740%23.517740%23.5%85,81285.8k1621.471552%21.471552%21.5%2,8191720.519827%20.519827%20.5%3,0791819.131714%19.131714%19.1%52019
Count number of people in category
# rank of county subdivision out of 19 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 County, selected county subdivisions in Milwaukee County, and entities that contain Milwaukee County
0%5%10%15%20%Count#River HillsFox PointShorewoodBaysideWhitefish BayWauwatosaGlendaleGreendaleUnited States of AmericaUnited StatesBrown DeerMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeFranklinMilwaukee CountyMilwaukeeMidwestHales CornersEast North CentralSt. FrancisWisconsinMilwaukeeGreenfieldOak CreekWest MilwaukeeW MilwaukeeCudahyWest AllisSouth MilwaukeeS Milwaukee21.181818%21.181818%21.2%233119.966791%19.966791%20.0%962213.736556%13.736556%13.7%1,290312.242387%12.242387%12.2%398412.064171%12.064171%12.1%1,12858.094131%8.094131%8.1%2,78666.435384%6.435384%6.4%61473.727118%3.727118%3.7%39583.336158%3.336158%3.3%7,127,6737.13M3.329545%3.329545%3.3%29393.286157%3.286157%3.3%34,58734.6k3.100626%3.100626%3.1%807102.985811%2.985811%3.0%18,59118.6k2.893416%2.893416%2.9%1,311,0191.31M2.870470%2.870470%2.9%160112.855432%2.855432%2.9%896,039896k2.756062%2.756062%2.8%208122.703886%2.703886%2.7%105,215105k2.043126%2.043126%2.0%7,455131.868992%1.868992%1.9%523141.809624%1.809624%1.8%446151.434879%1.434879%1.4%39161.302460%1.302460%1.3%171171.251567%1.251567%1.3%549180.893036%0.893036%0.9%13419
Count number of people in category
# rank of county subdivision out of 19 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 County, selected county subdivisions in Milwaukee County, and entities that contain Milwaukee County
Female
Male
2x1x0x1x2xFM#River HillsGreendaleW MilwaukeeFranklinBrown DeerWauwatosaWhitefish BayWisconsinMidwestEast North CentralMilwaukeeMilwaukeeUnited StatesMilwaukeeOak CreekGlendaleGreenfieldHales CornersWest AllisS MilwaukeeCudahySt. FrancisFox PointShorewoodBayside-1.000000x-1.000000x2.271845x2.271845x2.27x0.684%0.68%1.553%1.55%1-1.000000x-1.000000x2.150369x2.150369x2.15x2.213%2.21%4.758%4.76%2-1.000000x-1.000000x1.722885x1.722885x1.72x14.842%14.8%25.571%25.6%3-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.321858x1.321858x1.32x5.408%5.41%7.148%7.15%5-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%6-1.000000x-1.000000x1.284172x1.284172x1.28x1.899%1.90%2.438%2.44%7-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-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%8-1.000000x-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-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%9-1.000000x-1.000000x1.046921x1.046921x1.05x4.505%4.51%4.717%4.72%10-1.000000x-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%11-1.023703x-1.023703x1.02x1.000000x1.000000x5.476%5.48%5.349%5.35%12-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%13-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%14-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%15-1.204832x-1.204832x1.20x1.000000x1.000000x12.389%12.4%10.283%10.3%16-1.271644x-1.271644x1.27x1.000000x1.000000x2.177%2.18%1.712%1.71%17-1.992381x-1.992381x1.99x1.000000x1.000000x3.093%3.09%1.553%1.55%18-2.273926x-2.273926x2.27x1.000000x1.000000x4.182%4.18%1.839%1.84%19
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 19 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 County, selected county subdivisions in Milwaukee County, and entities that contain Milwaukee County
Female
Male
2x0x2xFM#BaysideCudahyBrown DeerGreendaleRiver HillsWhitefish BayWest AllisWauwatosaShorewoodEast North CentralMidwestMilwaukeeWisconsinFox PointUnited StatesGlendaleMilwaukeeFranklinS MilwaukeeMilwaukeeSt. FrancisGreenfieldOak CreekHales CornersW Milwaukee-1.000000x-1.000000x3.581135x3.581135x3.58x5.436%5.44%19.467%19.5%1-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%2-1.000000x-1.000000x2.430005x2.430005x2.43x2.012%2.01%4.890%4.89%3-1.000000x-1.000000x2.289014x2.289014x2.29x2.351%2.35%5.381%5.38%4-1.000000x-1.000000x1.977841x1.977841x1.98x14.530%14.5%28.738%28.7%5-1.000000x-1.000000x1.708618x1.708618x1.71x9.075%9.07%15.505%15.5%6-1.000000x-1.000000x1.693783x1.693783x1.69x0.936%0.94%1.585%1.59%7-1.000000x-1.000000x1.663311x1.663311x1.66x6.193%6.19%10.301%10.3%8-1.000000x-1.000000x1.656396x1.656396x1.66x10.517%10.5%17.420%17.4%9-1.000000x-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%10-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.496511x1.496511x1.50x5.253%5.25%7.861%7.86%11-1.000000x-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%12-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%13-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%14-1.000000x-1.000000x1.350002x1.350002x1.35x2.361%2.36%3.187%3.19%15-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%16-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%17-1.242283x-1.242283x1.24x1.000000x1.000000x3.153%3.15%2.538%2.54%18-2.891477x-2.891477x2.89x1.000000x1.000000x2.131%2.13%0.737%0.74%19
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 19 by male-to-female sex ratio

Educational Attainment by County in the Milwaukee Area

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

No H.S. Diploma by County#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Milwaukee County, selected other counties in the Milwaukee Area, and entities that contain Milwaukee County
0%5%10%Count#Milwaukee CountyMilwaukeeUnited States of AmericaUnited StatesEast North CentralMidwestMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeWisconsinWashington CountyWashingtonWaukesha CountyWaukeshaOzaukee CountyOzaukee13.092854%13.092854%13.1%81,52281.5k113.020590%13.020590%13.0%27,818,38027.8M10.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M9.572772%9.572772%9.6%100,754101k8.637220%8.637220%8.6%336,096336k6.072757%6.072757%6.1%5,64924.116150%4.116150%4.1%11,37011.4k33.651213%3.651213%3.7%2,2134
Count number of people in category
# rank of county out of 4 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Milwaukee County, selected other counties in the Milwaukee Area, and entities that contain Milwaukee County
0%10%20%30%40%Count#Ozaukee CountyOzaukeeWaukesha CountyWaukeshaMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesMilwaukee CountyMilwaukeeWashington CountyWashingtonMidwestEast North CentralWisconsin46.663917%46.663917%46.7%28,28328.3k141.623436%41.623436%41.6%114,976115k233.810164%33.810164%33.8%355,854356k30.315023%30.315023%30.3%64,767,78764.8M29.748251%29.748251%29.7%185,226185k329.422072%29.422072%29.4%27,36927.4k428.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M
Count number of people in category
# rank of county out of 4 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Milwaukee County, selected other counties in the Milwaukee Area, and entities that contain Milwaukee County
0%1%2%3%4%5%Count#Ozaukee CountyOzaukeeWaukesha CountyWaukeshaUnited States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMilwaukee CountyMilwaukeeMidwestEast North CentralWisconsinWashington CountyWashington5.805973%5.805973%5.8%3,51913.942743%3.942743%3.9%10,89110.9k23.336158%3.336158%3.3%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k2.985811%2.985811%3.0%18,59118.6k32.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k1.704973%1.704973%1.7%1,5864
Count number of people in category
# rank of county out of 4 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#55

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Milwaukee County, selected other counties in the Milwaukee Area, and entities that contain Milwaukee County
Female
Male
1x0x1xFM#WisconsinWaukeshaMidwestWashingtonEast North CentralMilwaukeeUnited StatesMilwaukeeOzaukee-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%1-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127252x1.127252x1.13x5.716%5.72%6.443%6.44%2-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%3-1.000000x-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%-1.036965x-1.036965x1.04x1.000000x1.000000x3.715%3.71%3.582%3.58%4
F percentage of females in category
M percentage of males in category
# rank of county out of 4 by male-to-female sex ratio

Over-Education Sex Ratio by County#56

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Milwaukee County, selected other counties in the Milwaukee Area, and entities that contain Milwaukee County
Female
Male
1x0x1xFM#OzaukeeWaukeshaEast North CentralMidwestMilwaukeeWisconsinUnited StatesMilwaukeeWashington-1.000000x-1.000000x1.872688x1.872688x1.87x4.090%4.09%7.659%7.66%1-1.000000x-1.000000x1.695850x1.695850x1.70x2.951%2.95%5.005%5.00%2-1.000000x-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-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%3-1.000000x-1.000000x1.374225x1.374225x1.37x1.441%1.44%1.980%1.98%4
F percentage of females in category
M percentage of males in category
# rank of county out of 4 by male-to-female sex ratio

Educational Attainment by County in Wisconsin

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

No H.S. Diploma by County#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Milwaukee County, selected other counties in Wisconsin, and entities that contain Milwaukee County
0%5%10%15%Count#Clark CountyClarkJuneau CountyJuneauWaushara CountyWausharaMilwaukee CountyMilwaukeeUnited States of AmericaUnited StatesVernon CountyVernonJackson CountyJacksonRacine CountyRacineDodge CountyDodgeEast North CentralRock CountyRockTrempealeau CountyTrempealeauMidwestBarron CountyBarronKenosha CountyKenoshaMonroe CountyMonroeLincoln CountyLincolnOconto CountyOcontoMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeShawano CountyShawanoWaupaca CountyWaupacaSauk CountySaukManitowoc CountyManitowocWalworth CountyWalworthJefferson CountyJeffersonMarathon CountyMarathonWisconsinMarinette CountyMarinetteGrant CountyGrantBrown CountyBrownFond du Lac CountyFond du LacSheboygan CountySheboyganOneida CountyOneidaWinnebago CountyWinnebagoChippewa CountyChippewaGreen CountyGreenWood CountyWoodVilas CountyVilasCalumet CountyCalumetColumbia CountyColumbiaPolk CountyPolkDunn CountyDunnEau Claire CountyEau ClairePortage CountyPortageIowa CountyIowaOutagamie CountyOutagamieDouglas CountyDouglasDoor CountyDoorWashington CountyWashingtonLa Crosse CountyLa CrossePierce CountyPierceDane CountyDaneSt. Croix CountySt. CroixWaukesha CountyWaukeshaOzaukee CountyOzaukee18.376088%18.376088%18.4%3,990113.948397%13.948397%13.9%2,676213.760962%13.760962%13.8%2,495313.092854%13.092854%13.1%81,52281.5k413.020590%13.020590%13.0%27,818,38027.8M11.937598%11.937598%11.9%2,441511.792912%11.792912%11.8%1,697611.170104%11.170104%11.2%14,74814.7k710.956491%10.956491%11.0%6,905810.719464%10.719464%10.7%3,363,7843.36M10.591406%10.591406%10.6%11,47611.5k910.579732%10.579732%10.6%2,1371010.244520%10.244520%10.2%4,641,8354.64M10.080658%10.080658%10.1%3,2621110.003168%10.003168%10.0%11,05311.1k129.792887%9.792887%9.8%2,993139.699758%9.699758%9.7%2,003149.607260%9.607260%9.6%2,615159.572772%9.572772%9.6%100,754101k9.364060%9.364060%9.4%2,755169.145423%9.145423%9.1%3,401179.112219%9.112219%9.1%4,004189.100310%9.100310%9.1%5,192199.074810%9.074810%9.1%6,098208.872860%8.872860%8.9%5,068218.851943%8.851943%8.9%8,210228.637220%8.637220%8.6%336,096336k8.627217%8.627217%8.6%2,598238.619607%8.619607%8.6%2,745248.601954%8.601954%8.6%14,60514.6k258.427102%8.427102%8.4%5,939268.367242%8.367242%8.4%6,683277.965352%7.965352%8.0%2,161287.893714%7.893714%7.9%8,936297.879569%7.879569%7.9%3,486307.788090%7.788090%7.8%2,014317.658332%7.658332%7.7%3,988327.548309%7.548309%7.5%1,250337.361483%7.361483%7.4%2,446347.225680%7.225680%7.2%2,879357.209656%7.209656%7.2%2,228367.133617%7.133617%7.1%1,930376.868874%6.868874%6.9%4,373386.784049%6.784049%6.8%3,040396.566661%6.566661%6.6%1,090406.470675%6.470675%6.5%7,873416.427874%6.427874%6.4%1,974426.365714%6.365714%6.4%1,365436.072757%6.072757%6.1%5,649445.474767%5.474767%5.5%4,066455.314614%5.314614%5.3%1,359464.746468%4.746468%4.7%15,98916.0k474.242959%4.242959%4.2%2,454484.116150%4.116150%4.1%11,37011.4k493.651213%3.651213%3.7%2,21350
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Milwaukee County, selected other counties in Wisconsin, and entities that contain Milwaukee County
0%10%20%30%40%Count#Dane CountyDaneOzaukee CountyOzaukeeWaukesha CountyWaukeshaMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSt. Croix CountySt. CroixLa Crosse CountyLa CrosseDoor CountyDoorEau Claire CountyEau ClaireUnited States of AmericaUnited StatesPortage CountyPortageMilwaukee CountyMilwaukeeWashington CountyWashingtonMidwestCalumet CountyCalumetEast North CentralWisconsinBrown CountyBrownWalworth CountyWalworthPierce CountyPierceOutagamie CountyOutagamieWinnebago CountyWinnebagoVilas CountyVilasDunn CountyDunnOneida CountyOneidaKenosha CountyKenoshaRacine CountyRacineMarathon CountyMarathonSheboygan CountySheboyganJefferson CountyJeffersonIowa CountyIowaDouglas CountyDouglasGreen CountyGreenColumbia CountyColumbiaSauk CountySaukFond du Lac CountyFond du LacGrant CountyGrantVernon CountyVernonRock CountyRockWood CountyWoodManitowoc CountyManitowocPolk CountyPolkChippewa CountyChippewaTrempealeau CountyTrempealeauBarron CountyBarronMonroe CountyMonroeWaupaca CountyWaupacaDodge CountyDodgeOconto CountyOcontoLincoln CountyLincolnShawano CountyShawanoWaushara CountyWausharaMarinette CountyMarinetteJackson CountyJacksonJuneau CountyJuneauClark CountyClark49.026156%49.026156%49.0%165,150165k146.663917%46.663917%46.7%28,28328.3k241.623436%41.623436%41.6%114,976115k333.810164%33.810164%33.8%355,854356k33.399035%33.399035%33.4%19,31719.3k432.470243%32.470243%32.5%24,11524.1k531.324908%31.324908%31.3%6,717630.750503%30.750503%30.8%19,57719.6k730.315023%30.315023%30.3%64,767,78764.8M30.305059%30.305059%30.3%13,58013.6k829.748251%29.748251%29.7%185,226185k929.422072%29.422072%29.4%27,36927.4k1028.952816%28.952816%29.0%13,118,64213.1M28.702561%28.702561%28.7%9,5371128.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.243623%28.243623%28.2%47,95448.0k1227.818206%27.818206%27.8%18,69318.7k1327.816667%27.816667%27.8%7,1131427.785357%27.785357%27.8%33,80733.8k1526.886859%26.886859%26.9%30,43730.4k1626.811594%26.811594%26.8%4,4401726.627241%26.627241%26.6%7,2041826.247696%26.247696%26.2%7,1211924.646364%24.646364%24.6%27,23327.2k2023.972400%23.972400%24.0%31,65131.7k2123.939061%23.939061%23.9%22,20322.2k2223.621840%23.621840%23.6%18,86718.9k2323.470710%23.470710%23.5%13,40613.4k2423.037532%23.037532%23.0%3,8242522.777597%22.777597%22.8%6,9952622.687548%22.687548%22.7%5,8672722.675936%22.675936%22.7%9,0352822.323115%22.323115%22.3%9,8092921.924087%21.924087%21.9%15,45115.5k3021.337060%21.337060%21.3%6,7953121.214789%21.214789%21.2%4,3383220.765653%20.765653%20.8%22,50022.5k3320.382533%20.382533%20.4%10,61410.6k3419.658914%19.658914%19.7%11,21611.2k3519.600039%19.600039%19.6%6,0573619.278497%19.278497%19.3%8,5293719.253428%19.253428%19.3%3,8893818.214407%18.214407%18.2%5,8943918.178844%18.178844%18.2%5,5564017.664300%17.664300%17.7%6,5694116.254641%16.254641%16.3%10,24410.2k4216.194570%16.194570%16.2%4,4084315.961259%15.961259%16.0%3,2964415.597702%15.597702%15.6%4,5894515.084662%15.084662%15.1%2,7354614.508202%14.508202%14.5%4,3694713.870744%13.870744%13.9%1,9964812.921553%12.921553%12.9%2,4794911.476995%11.476995%11.5%2,49250
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Milwaukee County, selected other counties in Wisconsin, and entities that contain Milwaukee County
0%2%4%6%Count#Dane CountyDaneOzaukee CountyOzaukeeLa Crosse CountyLa CrosseWaukesha CountyWaukeshaUnited States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeDoor CountyDoorEau Claire CountyEau ClairePortage CountyPortageMilwaukee CountyMilwaukeeMidwestEast North CentralDunn CountyDunnWisconsinVilas CountyVilasSt. Croix CountySt. CroixOneida CountyOneidaWalworth CountyWalworthWood CountyWoodGrant CountyGrantMarathon CountyMarathonBrown CountyBrownWinnebago CountyWinnebagoIowa CountyIowaGreen CountyGreenBarron CountyBarronVernon CountyVernonOutagamie CountyOutagamieKenosha CountyKenoshaPierce CountyPierceSauk CountySaukColumbia CountyColumbiaJefferson CountyJeffersonWashington CountyWashingtonRacine CountyRacineRock CountyRockDouglas CountyDouglasChippewa CountyChippewaSheboygan CountySheboyganFond du Lac CountyFond du LacPolk CountyPolkMonroe CountyMonroeCalumet CountyCalumetMarinette CountyMarinetteDodge CountyDodgeShawano CountyShawanoLincoln CountyLincolnOconto CountyOcontoManitowoc CountyManitowocWaupaca CountyWaupacaJackson CountyJacksonJuneau CountyJuneauTrempealeau CountyTrempealeauWaushara CountyWausharaClark CountyClark6.978843%6.978843%7.0%23,50923.5k15.805973%5.805973%5.8%3,51924.130985%4.130985%4.1%3,06833.942743%3.942743%3.9%10,89110.9k43.336158%3.336158%3.3%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k3.143217%3.143217%3.1%67453.130498%3.130498%3.1%1,99363.030506%3.030506%3.0%1,35872.985811%2.985811%3.0%18,59118.6k82.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.786916%2.786916%2.8%75492.703886%2.703886%2.7%105,215105k2.644928%2.644928%2.6%438102.636720%2.636720%2.6%1,525112.631773%2.631773%2.6%714122.573032%2.573032%2.6%1,729132.536775%2.536775%2.5%1,321142.213779%2.213779%2.2%705152.197352%2.197352%2.2%2,038162.072008%2.072008%2.1%3,518172.028197%2.028197%2.0%2,296182.012169%2.012169%2.0%334191.956690%1.956690%2.0%506201.912914%1.912914%1.9%619211.907277%1.907277%1.9%390221.866494%1.866494%1.9%2,271231.856193%1.856193%1.9%2,051241.849752%1.849752%1.8%473251.847932%1.847932%1.8%812261.744303%1.744303%1.7%695271.735005%1.735005%1.7%991281.704973%1.704973%1.7%1,586291.651885%1.651885%1.7%2,181301.557885%1.557885%1.6%1,688311.549984%1.549984%1.5%476321.491829%1.491829%1.5%660331.476130%1.476130%1.5%1,179341.464349%1.464349%1.5%1,032351.459405%1.459405%1.5%451361.456009%1.456009%1.5%445371.390435%1.390435%1.4%462381.321644%1.321644%1.3%398391.304306%1.304306%1.3%822401.291594%1.291594%1.3%380411.099274%1.099274%1.1%227421.076454%1.076454%1.1%293431.074440%1.074440%1.1%613441.070238%1.070238%1.1%398451.063238%1.063238%1.1%153461.042481%1.042481%1.0%200470.955493%0.955493%1.0%193480.932105%0.932105%0.9%169490.801363%0.801363%0.8%17450
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#60

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Milwaukee County, selected other counties in Wisconsin, and entities that contain Milwaukee County
Female
Male
1x0x1xFM#LincolnGrantDoorWinnebagoTrempealeauPierceChippewaJacksonShawanoGreenMonroeManitowocOcontoJuneauWaupacaClarkDouglasRacineSaukIowaPolkWalworthColumbiaOutagamieOneidaVilasDunnKenoshaFond du LacDodgePortageBrownWoodWisconsinBarronCalumetMarathonRockDaneWausharaWaukeshaSheboyganMidwestWashingtonEast North CentralMilwaukeeUnited StatesVernonMilwaukeeJeffersonEau ClaireMarinetteSt. CroixLa CrosseOzaukee-1.000000x-1.000000x1.701366x1.701366x1.70x7.198%7.20%12.247%12.2%1-1.000000x-1.000000x1.611247x1.611247x1.61x6.600%6.60%10.635%10.6%2-1.000000x-1.000000x1.599739x1.599739x1.60x4.927%4.93%7.882%7.88%3-1.000000x-1.000000x1.548094x1.548094x1.55x6.189%6.19%9.581%9.58%4-1.000000x-1.000000x1.543397x1.543397x1.54x8.305%8.31%12.818%12.8%5-1.000000x-1.000000x1.493476x1.493476x1.49x4.256%4.26%6.357%6.36%6-1.000000x-1.000000x1.457826x1.457826x1.46x6.371%6.37%9.288%9.29%7-1.000000x-1.000000x1.449841x1.449841x1.45x9.497%9.50%13.769%13.8%8-1.000000x-1.000000x1.432451x1.432451x1.43x7.710%7.71%11.044%11.0%9-1.000000x-1.000000x1.408297x1.408297x1.41x6.491%6.49%9.141%9.14%10-1.000000x-1.000000x1.405780x1.405780x1.41x8.136%8.14%11.438%11.4%11-1.000000x-1.000000x1.389119x1.389119x1.39x7.638%7.64%10.610%10.6%12-1.000000x-1.000000x1.374304x1.374304x1.37x8.070%8.07%11.091%11.1%13-1.000000x-1.000000x1.372407x1.372407x1.37x11.643%11.6%15.979%16.0%14-1.000000x-1.000000x1.345859x1.345859x1.35x7.796%7.80%10.492%10.5%15-1.000000x-1.000000x1.344554x1.344554x1.34x15.666%15.7%21.064%21.1%16-1.000000x-1.000000x1.343519x1.343519x1.34x5.497%5.50%7.385%7.39%17-1.000000x-1.000000x1.324710x1.324710x1.32x9.652%9.65%12.786%12.8%18-1.000000x-1.000000x1.317657x1.317657x1.32x7.885%7.89%10.390%10.4%19-1.000000x-1.000000x1.317393x1.317393x1.32x5.673%5.67%7.473%7.47%20-1.000000x-1.000000x1.317139x1.317139x1.32x6.222%6.22%8.196%8.20%21-1.000000x-1.000000x1.312179x1.312179x1.31x7.868%7.87%10.324%10.3%22-1.000000x-1.000000x1.312059x1.312059x1.31x6.240%6.24%8.187%8.19%23-1.000000x-1.000000x1.304911x1.304911x1.30x5.628%5.63%7.345%7.34%24-1.000000x-1.000000x1.304731x1.304731x1.30x6.919%6.92%9.027%9.03%25-1.000000x-1.000000x1.271978x1.271978x1.27x6.646%6.65%8.453%8.45%26-1.000000x-1.000000x1.264913x1.264913x1.26x6.297%6.30%7.965%7.96%27-1.000000x-1.000000x1.259401x1.259401x1.26x8.885%8.88%11.190%11.2%28-1.000000x-1.000000x1.243849x1.243849x1.24x7.537%7.54%9.375%9.37%29-1.000000x-1.000000x1.242121x1.242121x1.24x9.722%9.72%12.076%12.1%30-1.000000x-1.000000x1.236850x1.236850x1.24x6.069%6.07%7.506%7.51%31-1.000000x-1.000000x1.236680x1.236680x1.24x7.707%7.71%9.531%9.53%32-1.000000x-1.000000x1.235773x1.235773x1.24x6.872%6.87%8.492%8.49%33-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.205037x1.205037x1.21x9.154%9.15%11.030%11.0%34-1.000000x-1.000000x1.202432x1.202432x1.20x6.690%6.69%8.044%8.04%35-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%36-1.000000x-1.000000x1.191494x1.191494x1.19x9.696%9.70%11.553%11.6%37-1.000000x-1.000000x1.187155x1.187155x1.19x4.348%4.35%5.162%5.16%38-1.000000x-1.000000x1.183552x1.183552x1.18x12.548%12.5%14.851%14.9%39-1.000000x-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%40-1.000000x-1.000000x1.140135x1.140135x1.14x7.823%7.82%8.920%8.92%41-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127252x1.127252x1.13x5.716%5.72%6.443%6.44%42-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%43-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.106354x1.106354x1.11x11.340%11.3%12.546%12.5%44-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.074639x1.074639x1.07x8.559%8.56%9.197%9.20%45-1.000000x-1.000000x1.070745x1.070745x1.07x6.639%6.64%7.109%7.11%46-1.000000x-1.000000x1.047262x1.047262x1.05x8.430%8.43%8.828%8.83%47-1.000000x-1.000000x1.019047x1.019047x1.02x4.203%4.20%4.283%4.28%48-1.003452x-1.003452x1.00x1.000000x1.000000x5.484%5.48%5.465%5.47%49-1.036965x-1.036965x1.04x1.000000x1.000000x3.715%3.71%3.582%3.58%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#61

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Milwaukee County, selected other counties in Wisconsin, and entities that contain Milwaukee County
Female
Male
1x0x1x2xFM#PortageJuneauOneidaWinnebagoSheboyganLincolnEau ClaireFond du LacPolkClarkSaukWaupacaOzaukeeWoodManitowocShawanoVilasSt. CroixWalworthMarinetteRockBrownDunnWaukeshaDouglasBarronCalumetJeffersonGrantLa CrosseRacineColumbiaEast North CentralMidwestMilwaukeeWisconsinKenoshaUnited StatesGreenTrempealeauMilwaukeeMonroeWausharaDoorOutagamieMarathonDanePierceWashingtonVernonDodgeIowaOcontoChippewaJackson-1.000000x-1.000000x2.277540x2.277540x2.28x1.853%1.85%4.219%4.22%1-1.000000x-1.000000x2.264652x2.264652x2.26x0.623%0.62%1.412%1.41%2-1.000000x-1.000000x2.218029x2.218029x2.22x1.640%1.64%3.637%3.64%3-1.000000x-1.000000x2.174213x2.174213x2.17x1.275%1.28%2.773%2.77%4-1.000000x-1.000000x2.031853x2.031853x2.03x0.976%0.98%1.984%1.98%5-1.000000x-1.000000x2.023351x2.023351x2.02x0.729%0.73%1.476%1.48%6-1.000000x-1.000000x2.013470x2.013470x2.01x2.093%2.09%4.215%4.21%7-1.000000x-1.000000x1.953821x1.953821x1.95x1.002%1.00%1.957%1.96%8-1.000000x-1.000000x1.945823x1.945823x1.95x0.991%0.99%1.928%1.93%9-1.000000x-1.000000x1.933595x1.933595x1.93x0.546%0.55%1.055%1.06%10-1.000000x-1.000000x1.895621x1.895621x1.90x1.285%1.28%2.435%2.43%11-1.000000x-1.000000x1.880009x1.880009x1.88x0.743%0.74%1.397%1.40%12-1.000000x-1.000000x1.872688x1.872688x1.87x4.090%4.09%7.659%7.66%13-1.000000x-1.000000x1.814669x1.814669x1.81x1.818%1.82%3.299%3.30%14-1.000000x-1.000000x1.806143x1.806143x1.81x0.769%0.77%1.390%1.39%15-1.000000x-1.000000x1.801551x1.801551x1.80x0.924%0.92%1.665%1.66%16-1.000000x-1.000000x1.794571x1.794571x1.79x1.894%1.89%3.398%3.40%17-1.000000x-1.000000x1.774639x1.774639x1.77x1.907%1.91%3.384%3.38%18-1.000000x-1.000000x1.769950x1.769950x1.77x1.867%1.87%3.304%3.30%19-1.000000x-1.000000x1.739302x1.739302x1.74x0.967%0.97%1.683%1.68%20-1.000000x-1.000000x1.733327x1.733327x1.73x1.151%1.15%1.995%2.00%21-1.000000x-1.000000x1.733262x1.733262x1.73x1.524%1.52%2.641%2.64%22-1.000000x-1.000000x1.701002x1.701002x1.70x2.062%2.06%3.507%3.51%23-1.000000x-1.000000x1.695850x1.695850x1.70x2.951%2.95%5.005%5.00%24-1.000000x-1.000000x1.676561x1.676561x1.68x1.162%1.16%1.949%1.95%25-1.000000x-1.000000x1.674221x1.674221x1.67x1.435%1.44%2.403%2.40%26-1.000000x-1.000000x1.653118x1.653118x1.65x1.050%1.05%1.736%1.74%27-1.000000x-1.000000x1.652660x1.652660x1.65x1.313%1.31%2.170%2.17%28-1.000000x-1.000000x1.647269x1.647269x1.65x1.672%1.67%2.754%2.75%29-1.000000x-1.000000x1.645663x1.645663x1.65x3.144%3.14%5.174%5.17%30-1.000000x-1.000000x1.641913x1.641913x1.64x1.260%1.26%2.069%2.07%31-1.000000x-1.000000x1.632754x1.632754x1.63x1.321%1.32%2.157%2.16%32-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.529626x1.529626x1.53x1.477%1.48%2.259%2.26%33-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.519133x1.519133x1.52x1.560%1.56%2.370%2.37%34-1.000000x-1.000000x1.514826x1.514826x1.51x0.759%0.76%1.149%1.15%35-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%36-1.000000x-1.000000x1.489534x1.489534x1.49x1.169%1.17%1.741%1.74%37-1.000000x-1.000000x1.474810x1.474810x1.47x0.746%0.75%1.100%1.10%38-1.000000x-1.000000x1.464487x1.464487x1.46x2.563%2.56%3.754%3.75%39-1.000000x-1.000000x1.455713x1.455713x1.46x1.525%1.53%2.220%2.22%40-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%41-1.000000x-1.000000x1.404212x1.404212x1.40x5.827%5.83%8.182%8.18%42-1.000000x-1.000000x1.403843x1.403843x1.40x1.537%1.54%2.158%2.16%43-1.000000x-1.000000x1.374225x1.374225x1.37x1.441%1.44%1.980%1.98%44-1.000000x-1.000000x1.357719x1.357719x1.36x1.620%1.62%2.199%2.20%45-1.000000x-1.000000x1.235296x1.235296x1.24x1.161%1.16%1.434%1.43%46-1.000000x-1.000000x1.129194x1.129194x1.13x1.891%1.89%2.135%2.14%47-1.000000x-1.000000x1.084340x1.084340x1.08x1.032%1.03%1.119%1.12%48-1.000000x-1.000000x1.080157x1.080157x1.08x1.432%1.43%1.547%1.55%49-1.147189x-1.147189x1.15x1.000000x1.000000x1.142%1.14%0.995%1.00%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Educational Attainment by County in the United States

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

No H.S. Diploma by County#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Milwaukee County, selected other counties in the United States, and entities that contain Milwaukee County
0%10%20%Count#Bronx CountyBronxFresno CountyFresnoLos Angeles CountyLos AngelesDallas CountyDallasSan Bernardino CountySan BernardinoKings CountyKingsHarris CountyHarrisRiverside CountyRiversideMiami-Dade CountyMiami-DadeQueens CountyQueensPhiladelphia CountyPhiladelphiaBexar CountyBexarOrange CountyOrangeClark CountyClarkWayne CountyWayneTarrant CountyTarrantCook CountyCookSan Diego CountySan DiegoSacramento CountySacramentoMilwaukee CountyMilwaukeeMaricopa CountyMaricopaUnited States of AmericaUnited StatesNew York CountyNew YorkSanta Clara CountySanta ClaraAlameda CountyAlamedaWestchester CountyWestchesterOrange CountyOrangePima CountyPimaHillsborough CountyHillsboroughPalm Beach CountyPalm BeachTravis CountyTravisBroward CountyBrowardCuyahoga CountyCuyahogaContra Costa CountyContra CostaEast North CentralMecklenburg CountyMecklenburgMidwestSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkFranklin CountyFranklinMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonWisconsinFairfax CountyFairfaxWake CountyWakeKing CountyKingMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny CountyAllegheny28.837398%28.837398%28.8%261,022261k126.224410%26.224410%26.2%151,875152k222.282470%22.282470%22.3%1,495,6171.50M321.975765%21.975765%22.0%349,434349k421.207718%21.207718%21.2%274,381274k520.017506%20.017506%20.0%351,046351k619.839074%19.839074%19.8%554,024554k719.521191%19.521191%19.5%286,746287k819.375775%19.375775%19.4%362,252362k919.344706%19.344706%19.3%315,505316k1017.390838%17.390838%17.4%180,039180k1116.576437%16.576437%16.6%194,124194k1215.490423%15.490423%15.5%325,372325k1315.108430%15.108430%15.1%210,261210k1414.881687%14.881687%14.9%173,869174k1514.774230%14.774230%14.8%182,543183k1614.189351%14.189351%14.2%503,252503k1713.598133%13.598133%13.6%293,959294k1813.220947%13.220947%13.2%129,386129k1913.092854%13.092854%13.1%81,52281.5k2013.051927%13.051927%13.1%348,801349k2113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2212.928824%12.928824%12.9%166,105166k2312.700590%12.700590%12.7%141,393141k2412.397264%12.397264%12.4%81,98182.0k2512.319191%12.319191%12.3%101,664102k2612.252238%12.252238%12.3%81,21881.2k2712.196236%12.196236%12.2%108,416108k2812.054893%12.054893%12.1%122,162122k2911.841956%11.841956%11.8%90,92190.9k3011.688725%11.688725%11.7%152,462152k3111.473065%11.473065%11.5%100,034100k3210.940787%10.940787%10.9%82,37182.4k3310.719464%10.719464%10.7%3,363,7843.36M10.377895%10.377895%10.4%69,51069.5k3410.244520%10.244520%10.2%4,641,8354.64M10.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k369.992975%9.992975%10.0%102,414102k379.640656%9.640656%9.6%78,29978.3k389.572772%9.572772%9.6%100,754101k9.121758%9.121758%9.1%85,26785.3k398.945780%8.945780%8.9%60,28460.3k408.836226%8.836226%8.8%62,20562.2k418.677323%8.677323%8.7%57,57157.6k428.637220%8.637220%8.6%336,096336k8.282040%8.282040%8.3%63,67163.7k437.696387%7.696387%7.7%50,50850.5k447.543133%7.543133%7.5%110,490110k457.360151%7.360151%7.4%80,37880.4k467.173605%7.173605%7.2%59,66059.7k477.049887%7.049887%7.0%48,46648.5k486.540987%6.540987%6.5%56,30256.3k496.132273%6.132273%6.1%53,97454.0k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Milwaukee County, selected other counties in the United States, and entities that contain Milwaukee County
0%20%40%60%Count#New York CountyNew YorkFairfax CountyFairfaxMontgomery CountyMontgomeryMiddlesex CountyMiddlesexWake CountyWakeFulton CountyFultonSanta Clara CountySanta ClaraKing CountyKingHennepin CountyHennepinWestchester CountyWestchesterTravis CountyTravisFairfield CountyFairfieldOakland CountyOaklandAlameda CountyAlamedaNassau CountyNassauMecklenburg CountyMecklenburgSt. Louis CountySt. LouisContra Costa CountyContra CostaAllegheny CountyAlleghenyOrange CountyOrangeFranklin CountyFranklinSan Diego CountySan DiegoCook CountyCookSuffolk CountySuffolkPalm Beach CountyPalm BeachKings CountyKingsMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeHonolulu CountyHonoluluSalt Lake CountySalt LakeOrange CountyOrangeHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMidwestEast North CentralWisconsinMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronx60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2334.384794%34.384794%34.4%352,396352k2434.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.810164%33.810164%33.8%355,854356k33.350646%33.350646%33.4%224,744225k2732.800693%32.800693%32.8%221,734222k2831.922850%31.922850%31.9%263,443263k2931.433296%31.433296%31.4%279,420279k3031.015731%31.015731%31.0%404,554405k3130.968863%30.968863%31.0%827,615828k3230.891280%30.891280%30.9%269,342269k3330.800609%30.800609%30.8%204,172204k3430.764105%30.764105%30.8%2,064,9112.06M3530.734653%30.734653%30.7%379,742380k3630.595789%30.595789%30.6%499,006499k3730.315023%30.315023%30.3%64,767,78764.8M30.076273%30.076273%30.1%839,907840k3829.748251%29.748251%29.7%185,226185k3929.683200%29.683200%29.7%471,989472k4029.283682%29.283682%29.3%286,583287k4128.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.349720%26.349720%26.3%272,786273k4422.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#64

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Milwaukee County, selected other counties in the United States, and entities that contain Milwaukee County
0%5%10%Count#Montgomery CountyMontgomeryNew York CountyNew YorkMiddlesex CountyMiddlesexFairfax CountyFairfaxWestchester CountyWestchesterSanta Clara CountySanta ClaraNassau CountyNassauAlameda CountyAlamedaFulton CountyFultonKing CountyKingFairfield CountyFairfieldSt. Louis CountySt. LouisOakland CountyOaklandHennepin CountyHennepinTravis CountyTravisAllegheny CountyAlleghenyContra Costa CountyContra CostaWake CountyWakeSan Diego CountySan DiegoPalm Beach CountyPalm BeachOrange CountyOrangeFranklin CountyFranklinCook CountyCookCuyahoga CountyCuyahogaPima CountyPimaHonolulu CountyHonoluluSuffolk CountySuffolkMiami-Dade CountyMiami-DadeSalt Lake CountySalt LakePhiladelphia CountyPhiladelphiaLos Angeles CountyLos AngelesMecklenburg CountyMecklenburgBroward CountyBrowardHillsborough CountyHillsboroughKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSacramento CountySacramentoMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeMidwestEast North CentralBexar CountyBexarQueens CountyQueensWisconsinFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoBronx CountyBronx12.399695%12.399695%12.4%87,29187.3k110.788423%10.788423%10.8%133,520134k28.541485%8.541485%8.5%93,27993.3k37.784891%7.784891%7.8%59,84959.8k47.604460%7.604460%7.6%50,28750.3k56.177550%6.177550%6.2%79,36779.4k65.833659%5.833659%5.8%54,53154.5k75.762347%5.762347%5.8%64,15164.2k85.719518%5.719518%5.7%37,94737.9k95.673632%5.673632%5.7%83,10683.1k105.463614%5.463614%5.5%34,77034.8k115.244723%5.244723%5.2%36,05636.1k125.214131%5.214131%5.2%44,88144.9k135.193709%5.193709%5.2%43,19443.2k145.061951%5.061951%5.1%38,86538.9k155.039180%5.039180%5.0%44,35344.4k164.956168%4.956168%5.0%37,31437.3k174.892146%4.892146%4.9%32,10532.1k184.749001%4.749001%4.7%102,662103k194.475020%4.475020%4.5%45,34945.3k204.348784%4.348784%4.3%91,34591.3k214.335519%4.335519%4.3%35,21235.2k224.239617%4.239617%4.2%150,366150k234.184410%4.184410%4.2%36,48436.5k244.139192%4.139192%4.1%27,43827.4k253.970725%3.970725%4.0%26,75826.8k263.962200%3.962200%4.0%40,60740.6k273.784527%3.784527%3.8%70,75670.8k283.768025%3.768025%3.8%25,47225.5k293.720350%3.720350%3.7%38,51538.5k303.604427%3.604427%3.6%241,932242k313.598297%3.598297%3.6%24,10124.1k323.517075%3.517075%3.5%45,87545.9k333.474402%3.474402%3.5%30,88530.9k343.384967%3.384967%3.4%59,36259.4k353.344637%3.344637%3.3%93,40293.4k363.336158%3.336158%3.3%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k3.266254%3.266254%3.3%31,96532.0k373.113482%3.113482%3.1%83,20583.2k383.037379%3.037379%3.0%48,29748.3k392.990491%2.990491%3.0%24,67924.7k402.985811%2.985811%3.0%18,59118.6k412.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.818073%2.818073%2.8%33,00233.0k422.756960%2.756960%2.8%44,96545.0k432.703886%2.703886%2.7%105,215105k2.392530%2.392530%2.4%13,85613.9k442.368743%2.368743%2.4%29,26729.3k452.315475%2.315475%2.3%32,22432.2k462.260473%2.260473%2.3%33,20433.2k472.178386%2.178386%2.2%25,45125.5k481.852789%1.852789%1.9%23,97124.0k491.664253%1.664253%1.7%15,06415.1k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#65

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Milwaukee County, selected other counties in the United States, and entities that contain Milwaukee County
Female
Male
1x0x1xFM#MecklenburgPalm BeachWisconsinWakeWestchesterFairfieldContra CostaHillsboroughFresnoMidwestEast North CentralDallasSuffolkMilwaukeeWayneUnited StatesOrangeMilwaukeeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.180227x1.180227x1.18x7.089%7.09%8.367%8.37%3-1.000000x-1.000000x1.161379x1.161379x1.16x11.523%11.5%13.383%13.4%4-1.000000x-1.000000x1.158198x1.158198x1.16x9.397%9.40%10.884%10.9%5-1.000000x-1.000000x1.145263x1.145263x1.15x10.231%10.2%11.718%11.7%6-1.000000x-1.000000x1.132218x1.132218x1.13x11.472%11.5%12.989%13.0%7-1.000000x-1.000000x1.130389x1.130389x1.13x24.647%24.6%27.860%27.9%8-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.120951x1.120951x1.12x20.762%20.8%23.273%23.3%9-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%10-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%11-1.000000x-1.000000x1.109962x1.109962x1.11x14.154%14.2%15.710%15.7%12-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101852x1.101852x1.10x11.740%11.7%12.936%12.9%13-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.098530x1.098530x1.10x18.925%18.9%20.790%20.8%14-1.000000x-1.000000x1.090368x1.090368x1.09x8.321%8.32%9.073%9.07%15-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%16-1.000000x-1.000000x1.084622x1.084622x1.08x20.369%20.4%22.092%22.1%17-1.000000x-1.000000x1.079174x1.079174x1.08x14.234%14.2%15.361%15.4%18-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%19-1.000000x-1.000000x1.072566x1.072566x1.07x12.608%12.6%13.523%13.5%20-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%21-1.000000x-1.000000x1.066137x1.066137x1.07x11.462%11.5%12.220%12.2%22-1.000000x-1.000000x1.065180x1.065180x1.07x11.337%11.3%12.076%12.1%23-1.000000x-1.000000x1.064463x1.064463x1.06x18.923%18.9%20.143%20.1%24-1.000000x-1.000000x1.062700x1.062700x1.06x6.352%6.35%6.750%6.75%25-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%26-1.000000x-1.000000x1.061606x1.061606x1.06x9.934%9.93%10.546%10.5%27-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%28-1.000000x-1.000000x1.056584x1.056584x1.06x12.873%12.9%13.601%13.6%29-1.000000x-1.000000x1.048432x1.048432x1.05x8.640%8.64%9.059%9.06%30-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%31-1.000000x-1.000000x1.025105x1.025105x1.03x7.273%7.27%7.455%7.46%32-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%33-1.000000x-1.000000x1.016052x1.016052x1.02x8.218%8.22%8.350%8.35%34-1.000000x-1.000000x1.009187x1.009187x1.01x16.504%16.5%16.655%16.7%35-1.000000x-1.000000x1.001235x1.001235x1.00x12.245%12.2%12.260%12.3%36-1.004399x-1.004399x1.00x1.000000x1.000000x7.560%7.56%7.526%7.53%37-1.004399x-1.004399x1.00x1.000000x1.000000x22.330%22.3%22.232%22.2%38-1.008231x-1.008231x1.01x1.000000x1.000000x15.170%15.2%15.046%15.0%39-1.015422x-1.015422x1.02x1.000000x1.000000x15.605%15.6%15.368%15.4%40-1.015859x-1.015859x1.02x1.000000x1.000000x7.101%7.10%6.990%6.99%41-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%42-1.022059x-1.022059x1.02x1.000000x1.000000x19.576%19.6%19.154%19.2%43-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%44-1.029280x-1.029280x1.03x1.000000x1.000000x12.877%12.9%12.511%12.5%45-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%46-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%47-1.097207x-1.097207x1.10x1.000000x1.000000x14.217%14.2%12.958%13.0%48-1.110312x-1.110312x1.11x1.000000x1.000000x13.602%13.6%12.250%12.3%49-1.156494x-1.156494x1.16x1.000000x1.000000x9.584%9.58%8.287%8.29%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#66

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Milwaukee County, selected other counties in the United States, and entities that contain Milwaukee County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldEast North CentralAlleghenyMidwestMilwaukeeNassauWisconsinBrowardClarkFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%11-1.000000x-1.000000x1.619416x1.619416x1.62x1.734%1.73%2.808%2.81%12-1.000000x-1.000000x1.609547x1.609547x1.61x2.346%2.35%3.776%3.78%13-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%14-1.000000x-1.000000x1.602206x1.602206x1.60x1.838%1.84%2.945%2.95%15-1.000000x-1.000000x1.600562x1.600562x1.60x4.251%4.25%6.804%6.80%16-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.566566x1.566566x1.57x2.842%2.84%4.452%4.45%22-1.000000x-1.000000x1.562801x1.562801x1.56x6.111%6.11%9.551%9.55%23-1.000000x-1.000000x1.545600x1.545600x1.55x1.736%1.74%2.683%2.68%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.513974x1.513974x1.51x4.919%4.92%7.447%7.45%25-1.000000x-1.000000x1.510882x1.510882x1.51x4.604%4.60%6.956%6.96%26-1.000000x-1.000000x1.494007x1.494007x1.49x4.011%4.01%5.992%5.99%27-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%28-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%3.16%4.473%4.47%34-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%35-1.000000x-1.000000x1.407975x1.407975x1.41x4.203%4.20%5.918%5.92%36-1.000000x-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

Principal Cities:
Milwaukee, West Allis
Cities:
Cudahy, Franklin, Glendale, Greenfield, Milwaukee, Oak Creek, South Milwaukee, St. Francis, Wauwatosa, West Allis
Villages:
Bayside, Brown Deer, Fox Point, Greendale, Hales Corners, River Hills, Shorewood, West Milwaukee, Whitefish Bay
ZIP Codes:
53110, 53129, 53130, 53132, 53154, 53172, 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 Districts:
Brown Deer, Cudahy, Franklin, Greendale, Greenfield, Milwaukee, Oak Creek-Franklin, Shorewood, South Milwaukee, St. Francis, Wauwatosa, West Allis, Whitefish Bay, Whitnall
Elementary School Districts:
Fox Point Joint No. 2, Glendale-River Hills, Maple Dale-Indian Hill
Secondary School District:
Nicolet
Congressional Districts:
WI-1, WI-4, WI-5, WI-6
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-15, WI-16, WI-17, WI-18, WI-19, WI-20, WI-21, WI-22, WI-23, WI-24, WI-82, WI-83, WI-84
Neighboring Counties:
Muskegon, Ottawa, Ozaukee, Racine, Washington, Waukesha
Nearby Counties:
Allegan, Kenosha, Lake, Oceana, Sheboygan