Educational Attainment in Waukesha County, Wisconsin (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wisconsin and Waukesha County
Waukesha County
Wisconsin
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma251.250231%38.686675%51.250231%51.3%141,568142k44.633619%52.676105%44.633619%44.6%123,291123k4.116150%8.637220%4.116150%4.1%11,37011.4k
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 Waukesha County
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma232.475151%32.475151%+32.5%51.250%51.3%38.687%38.7%-15.267807%-15.267807%-15.3%44.634%44.6%52.676%52.7%-52.344042%-52.344042%-52.3%4.116%4.12%8.637%8.64%
% percentage with given level in Waukesha 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 Waukesha County
Waukesha County
Wisconsin
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.279011%1.094506%1.279011%1.3%3,5332.663732%1.609379%2.663732%2.7%7,35810.312096%6.922399%10.312096%10.3%28,48528.5k27.368596%18.747154%27.368596%27.4%75,60075.6k9.626795%10.313236%9.626795%9.6%26,59226.6k20.460198%20.983992%20.460198%20.5%56,51756.5k24.173421%31.692113%24.173421%24.2%66,77466.8k2.678575%5.657202%2.678575%2.7%7,3991.142168%2.130908%1.142168%1.1%3,1550.295407%0.849110%0.295407%0.3%816
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 Waukesha County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None16.857363%16.857363%+16.9%1.279%1.28%1.095%1.09%65.513008%65.513008%+65.5%2.664%2.66%1.609%1.61%48.967081%48.967081%+49.0%10.312%10.3%6.922%6.92%45.988007%45.988007%+46.0%27.369%27.4%18.747%18.7%-6.655921%-6.655921%-6.7%9.627%9.63%10.313%10.3%-2.496160%-2.496160%-2.5%20.460%20.5%20.984%21.0%-23.724174%-23.724174%-23.7%24.173%24.2%31.692%31.7%-52.651956%-52.651956%-52.7%2.679%2.68%5.657%5.66%-46.399925%-46.399925%-46.4%1.142%1.14%2.131%2.13%-65.209789%-65.209789%-65.2%0.295%0.30%0.849%0.85%
% percentage with given level in Waukesha 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 Waukesha County
More Females More Males
Wisconsin
Waukesha County
0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-1.627311%-9.820753%-1.627311%2%51.650%51.6%50.823%50.8%0.626350%3.687318%0.626350%1%44.499%44.5%44.778%44.8%14.236893%21.929118%14.236893%14%3.851%3.85%4.400%4.40%
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 Waukesha County
More Females More Males
Wisconsin
Waukesha County
20%0%20%40%60%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None57.151994%49.112245%57.151994%57%1.002%1.00%1.575%1.58%75.980194%63.725126%75.980194%76%1.949%1.95%3.430%3.43%-5.545539%-26.714257%-5.545539%6%10.581%10.6%10.025%10.0%-2.832788%-10.314398%-2.832788%3%27.738%27.7%26.973%27.0%-17.694700%-14.230343%-17.694700%18%10.380%10.4%8.820%8.82%-1.828461%10.090108%10.090108%10%19.510%19.5%21.478%21.5%-7.252655%-7.252655%7%7.484254%24.989%25.0%23.299%23.3%20.427611%27.756322%20.427611%20%2.438%2.44%2.936%2.94%-1.707292%-1.707292%2%11.346432%1.152%1.15%1.132%1.13%26.586540%12.366663%26.586540%27%0.262%0.26%0.331%0.33%
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 Waukesha County
Waukesha County
Wisconsin
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-3417.462313%12.755764%17.462313%17.5%11,38711.4k65,20965.2k27.631968%17.674080%27.631968%27.6%33,64833.6k121,772122k33.706060%22.171538%33.706060%33.7%16,15716.2k47,93547.9k34.875221%25.037795%34.875221%34.9%14,40814.4k41,31341.3k
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 Waukesha County
0%10%20%30%40%50%%ref.65+45-6435-4425-3436.897430%36.897430%36.9%17.462%17.5%12.756%12.8%56.341758%56.341758%56.3%27.632%27.6%17.674%17.7%52.024008%52.024008%52.0%33.706%33.7%22.172%22.2%39.290303%39.290303%39.3%34.875%34.9%25.038%25.0%
% percentage in Waukesha 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 Waukesha County
More Females More Males
Wisconsin
Waukesha County
20%10%0%10%20%30%FM65+45-6435-4425-3430.323177%15.252186%30.323177%30.3%15.399%15.4%20.069%20.1%-4.447321%-8.291196%-4.447321%4.4%28.222%28.2%27.021%27.0%-14.397068%-22.719305%-14.397068%14.4%35.961%36.0%31.435%31.4%-23.307988%-29.514910%-23.307988%23.3%38.555%38.6%31.267%31.3%
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 Waukesha County
Waukesha County
Wisconsin
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$76,617.000000$61,842.000000$76,617.000000$76.6k39,37639.4k14.255%14.3%$58,818.000000$48,286.000000$58,818.000000$58.8k75,60075.6k27.369%27.4%$40,646.000000$34,771.000000$40,646.000000$40.6k83,10983.1k30.087%30.1%$34,269.000000$30,475.000000$34,269.000000$34.3k66,77466.8k24.173%24.2%$27,052.000000$22,317.000000$27,052.000000$27.1k11,37011.4k4.116%4.12%$47,965.000000$36,855.000000$47,965.000000$48.0k276,229276k100.000%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 Waukesha County
Female Male
Wisconsin
Waukesha County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-61,695.000000$-55,037.000000$-61,695.000000$61.7k$61,695.000000$35,036.000000$55,037.000000$18,141.000000$96,731.000000$96.7k19,33119.3k20,04520.0k$-46,051.000000$-40,915.000000$-46,051.000000$46.1k$46,051.000000$29,713.000000$40,915.000000$18,355.000000$75,764.000000$75.8k39,62539.6k35,97536.0k$-31,520.000000$-28,362.000000$-31,520.000000$31.5k$31,520.000000$18,962.000000$28,362.000000$14,055.000000$50,482.000000$50.5k42,70042.7k40,40940.4k$-26,235.000000$-23,872.000000$-26,235.000000$26.2k$26,235.000000$16,509.000000$23,872.000000$12,519.000000$42,744.000000$42.7k35,69935.7k31,07531.1k$-22,071.000000$-16,775.000000$-22,071.000000$22.1k$22,071.000000$9,953.000000$16,775.000000$9,472.000000$32,024.000000$32.0k5,5025,868$-38,021.000000$-30,829.000000$-38,021.000000$38.0k$38,021.000000$19,862.000000$30,829.000000$12,328.000000$57,883.000000$57.9k142,857143k133,372133k
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 Waukesha County
Waukesha County
Wisconsin
0%10%20%30%40%50%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma316.666667%32.763533%16.666667%16.7%1056.666667%54.226021%56.666667%56.7%345.000000%12.203229%5.000000%5.0%321.666667%0.807217%21.666667%21.7%13
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 Waukesha County
Waukesha County
Wisconsin
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.056133%85.899471%86.056133%86.1%82,78682.8k81.017981%79.335494%81.017981%81.0%52,98953.0k77.121085%73.240943%77.121085%77.1%33,19633.2k62.429379%53.971506%62.429379%62.4%3,978
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 Waukesha County
Female Male
Wisconsin
Waukesha County
Shaded bar tips show excess over facing bar.
20%0%20%MFWhite1BlackAsianHispanic2Other1-3.087711%-5.697819%-3.087711%3.1%3.087711%0.404890%5.697819%1.469036%3.492600%3.5%4,2744,060-13.260026%-17.429079%-13.260026%13.3%13.260026%6.148973%17.429079%2.936718%19.408999%19.4%289205-5.483368%-2.471445%-14.441272%-4.641233%-7.954813%8.0%5.483368%14.441272%5.483368%5.5%211338-17.870895%-31.307944%-17.870895%17.9%17.870895%4.097318%31.307944%5.178771%21.968212%22.0%1,009789-17.942284%-22.693686%-17.942284%17.9%17.942284%1.363272%22.693686%3.979967%19.305556%19.3%417429
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 Waukesha County
Female Male
Wisconsin
Waukesha County
Shaded bar tips show excess over facing bar.
50%0%50%MFWhite1BlackAsianHispanic2Other1-41.231586%-28.711494%-2.079187%-41.231586%41.2%41.231586%0.781767%28.711494%42.013353%42.0%51,41351.4k54,21554.2k-25.587643%-1.837972%-11.717867%-3.588054%-27.425614%27.4%25.587643%11.717867%25.587643%25.6%381424-67.710049%-44.377167%-67.710049%67.7%67.710049%7.783714%44.377167%4.100638%75.493763%75.5%2,9052,877-18.223383%-5.242075%-10.433533%-4.583778%-23.465459%23.5%18.223383%10.433533%18.223383%18.2%8371,036-26.725220%-13.316792%-4.610459%-26.725220%26.7%26.725220%2.858114%13.316792%29.583333%29.6%639639
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 Waukesha County

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

Percentage of the population 25 years and older with given highest level of educational attainment
27%37%47%58%68%78%

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
19%29%38%48%57%67%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.9%2.2%3.4%4.7%5.9%7.2%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.0%2.1%3.1%4.1%5.2%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.0%4.1%6.1%8.2%10.3%

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
4.0%7.1%10.1%13.1%16.1%19.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
11%18%24%29%35%42%

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
4.3%6.3%8.3%10.2%12.2%14.2%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
9.2%13.2%17.2%21.2%25.1%29.1%

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
10%16%22%28%34%40%

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
0.4%1.5%2.5%3.4%4.4%5.5%

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
0.00%0.46%0.92%1.38%1.84%2.31%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.25%0.50%0.75%1.01%1.26%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Waukesha 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
24%35%45%56%66%77%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
20%29%38%47%55%65%

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
0.8%3.5%6.0%8.6%11.2%13.8%

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%1.0%2.0%3.1%4.1%5.1%

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%2.0%4.0%6.0%8.1%10.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.4%4.9%8.4%11.9%15.4%18.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
9%16%23%30%36%43%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5.1%7.1%9.1%11.1%13.1%15.1%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
8.5%12.7%16.8%20.9%25.0%29.1%

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
10%16%22%28%33%39%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.9%3.7%5.6%7.5%9.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.5%3.0%4.5%6.0%7.6%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.31%0.62%0.93%1.24%1.55%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Waukesha County

There are 28 places that are fully or partially contained within Waukesha County (25 fully and 3 partially). This section compares all 28 of those to each other, Waukesha County, and other entities that contain or substantially overlap with Waukesha 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 Waukesha County, selected places in Waukesha County, and entities that contain Waukesha County
0%5%10%15%Count#MilwaukeeUnited States of AmericaUnited StatesEast North CentralMidwestMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeWisconsinWaukeshaLannonButlerDousmanHartlandMenomonee FallsBig BendNew BerlinWaukesha CountyWaukeshaOconomowocSummitSussexMuskegoPewaukeeDelafieldBrookfieldMukwonagoElm GroveNorth PrairieChenequaEagleWalesOkauchee LakeMertonPewaukeeNashotahOconomowoc LakeOconomowoc LkLac La Belle17.485105%17.485105%17.5%63,80063.8k113.020590%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%336,096336k7.158983%7.158983%7.2%3,39327.052897%7.052897%7.1%5636.978367%6.978367%7.0%10046.243154%6.243154%6.2%11455.411725%5.411725%5.4%32464.484909%4.484909%4.5%1,16574.260090%4.260090%4.3%3884.236891%4.236891%4.2%1,26794.116150%4.116150%4.1%11,37011.4k3.988090%3.988090%4.0%442103.883495%3.883495%3.9%124113.648037%3.648037%3.6%250123.554446%3.554446%3.6%598133.203803%3.203803%3.2%310142.818329%2.818329%2.8%139152.806979%2.806979%2.8%761162.798688%2.798688%2.8%145172.671933%2.671933%2.7%115182.594194%2.594194%2.6%42192.512563%2.512563%2.5%10202.315964%2.315964%2.3%28212.232398%2.232398%2.2%39221.949686%1.949686%1.9%62231.564723%1.564723%1.6%33241.525540%1.525540%1.5%89251.269531%1.269531%1.3%13261.028278%1.028278%1.0%4270.917431%0.917431%0.9%228
Count number of people in category
# rank of place out of 28 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Waukesha County, selected places in Waukesha County, and entities that contain Waukesha County
0%20%40%60%Count#Elm GroveLac La BelleOconomowoc LakeOconomowoc LkChenequaBrookfieldMertonNashotahDelafieldPewaukeeOkauchee LakeSummitWalesOconomowocWaukesha CountyWaukeshaMenomonee FallsNew BerlinSussexHartlandPewaukeeWaukeshaMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMuskegoNorth PrairieUnited States of AmericaUnited StatesMukwonagoMidwestEast North CentralWisconsinButlerEagleMilwaukeeDousmanBig BendLannon72.188662%72.188662%72.2%3,107159.174312%59.174312%59.2%129259.125964%59.125964%59.1%230358.793970%58.793970%58.8%234458.053926%58.053926%58.1%15,73915.7k555.618777%55.618777%55.6%1,173653.808594%53.808594%53.8%551752.331711%52.331711%52.3%2,581851.705250%51.705250%51.7%5,003950.094340%50.094340%50.1%1,5931050.078296%50.078296%50.1%1,5991144.247281%44.247281%44.2%7731244.229902%44.229902%44.2%4,9021341.623436%41.623436%41.6%114,976115k41.080228%41.080228%41.1%10,67110.7k1440.780498%40.780498%40.8%12,19512.2k1540.376477%40.376477%40.4%2,7671637.898781%37.898781%37.9%2,2691735.755914%35.755914%35.8%2,0861835.550164%35.550164%35.6%16,84916.8k1933.810164%33.810164%33.8%355,854356k33.499762%33.499762%33.5%5,6362031.562693%31.562693%31.6%5112130.315023%30.315023%30.3%64,767,78764.8M29.608184%29.608184%29.6%1,5342228.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.215632%27.215632%27.2%3902326.468156%26.468156%26.5%3202423.517740%23.517740%23.5%85,81285.8k2522.891566%22.891566%22.9%4182618.721973%18.721973%18.7%1672716.372796%16.372796%16.4%13028
Count number of people in category
# rank of place out of 28 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Waukesha County, selected places in Waukesha County, and entities that contain Waukesha County
0%5%10%15%Count#Elm GroveChenequaBrookfieldOconomowoc LakeOconomowoc LkLac La BelleSummitNashotahWalesOkauchee LakeDelafieldOconomowocWaukesha CountyWaukeshaNew BerlinPewaukeeHartlandPewaukeeUnited States of AmericaUnited StatesMenomonee FallsMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeDousmanMidwestEast North CentralMertonWisconsinMuskegoWaukeshaMilwaukeeNorth PrairieMukwonagoSussexEagleBig BendLannonButler15.381041%15.381041%15.4%66219.798995%9.798995%9.8%3929.217661%9.217661%9.2%2,49936.426735%6.426735%6.4%2545.963303%5.963303%6.0%1355.606013%5.606013%5.6%17965.468750%5.468750%5.5%5674.693761%4.693761%4.7%8284.528302%4.528302%4.5%14494.318735%4.318735%4.3%213104.222683%4.222683%4.2%468113.942743%3.942743%3.9%10,89110.9k3.762039%3.762039%3.8%1,125123.679206%3.679206%3.7%356133.574411%3.574411%3.6%214143.359616%3.359616%3.4%196153.336158%3.336158%3.3%7,127,6737.13M3.295350%3.295350%3.3%856163.286157%3.286157%3.3%34,58734.6k3.066813%3.066813%3.1%56172.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.797534%2.797534%2.8%59182.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450192.192214%2.192214%2.2%1,039202.043126%2.043126%2.0%7,455212.038295%2.038295%2.0%33221.891527%1.891527%1.9%98231.838611%1.838611%1.8%126240.744417%0.744417%0.7%9250.672646%0.672646%0.7%6260.503778%0.503778%0.5%4270.000000%0.000000%0.0%028
Count number of people in category
# rank of place out of 28 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by Place#45

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Waukesha County, selected places in Waukesha County, and entities that contain Waukesha County
Female
Male
10x5x0x5x10xFM#Lac La BelleLannonPewaukeeHartlandEagleChenequaBig BendSummitDousmanNorth PrairieWaukeshaWisconsinMuskegoPewaukeeWaukeshaMidwestEast North CentralMilwaukeeUnited StatesMilwaukeeMenomonee FallsNew BerlinBrookfieldMukwonagoOconomowocSussexMertonButlerWalesElm GroveDelafieldNashotahOkauchee LakeOconomowoc Lk-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.961%1.96%1-1.000000x-1.000000x2.881481x2.881481x2.88x3.599%3.60%10.370%10.4%2-1.000000x-1.000000x2.458344x2.458344x2.46x0.905%0.91%2.225%2.23%3-1.000000x-1.000000x2.349083x2.349083x2.35x3.292%3.29%7.733%7.73%4-1.000000x-1.000000x1.913652x1.913652x1.91x1.605%1.61%3.072%3.07%5-1.000000x-1.000000x1.907154x1.907154x1.91x1.676%1.68%3.196%3.20%6-1.000000x-1.000000x1.654856x1.654856x1.65x3.240%3.24%5.361%5.36%7-1.000000x-1.000000x1.574372x1.574372x1.57x3.027%3.03%4.765%4.76%8-1.000000x-1.000000x1.514241x1.514241x1.51x5.016%5.02%7.595%7.59%9-1.000000x-1.000000x1.461533x1.461533x1.46x2.107%2.11%3.079%3.08%10-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%11-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%12-1.000000x-1.000000x1.154088x1.154088x1.15x2.980%2.98%3.439%3.44%13-1.000000x-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%-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%14-1.000000x-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-1.000000x1.077248x1.077248x1.08x4.329%4.33%4.663%4.66%15-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%16-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%17-1.139805x-1.139805x1.14x1.000000x1.000000x2.971%2.97%2.607%2.61%18-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%19-1.456932x-1.456932x1.46x1.000000x1.000000x4.308%4.31%2.957%2.96%20-1.712242x-1.712242x1.71x1.000000x1.000000x1.970%1.97%1.151%1.15%21-1.830658x-1.830658x1.83x1.000000x1.000000x9.065%9.07%4.952%4.95%22-2.105758x-2.105758x2.11x1.000000x1.000000x3.055%3.06%1.451%1.45%23-2.511825x-2.511825x2.51x1.000000x1.000000x3.655%3.66%1.455%1.46%24-2.551624x-2.551624x2.55x1.000000x1.000000x3.951%3.95%1.548%1.55%25-3.155894x-3.155894x3.16x1.000000x1.000000x1.901%1.90%0.602%0.60%26-3.638775x-3.638775x3.64x1.000000x1.000000x3.028%3.03%0.832%0.83%27-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.128%2.13%0.000%0%28
F percentage of females in category
M percentage of males in category
# rank of place out of 28 by male-to-female sex ratio

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 Waukesha County, selected places in Waukesha County, and entities that contain Waukesha County
Female
Male
0x5x10xFM#Okauchee LakeLannonPewaukeeSussexChenequaOconomowoc LkDousmanWalesLac La BelleMuskegoMertonEagleBrookfieldElm GroveMukwonagoDelafieldNew BerlinWaukeshaEast North CentralMidwestMilwaukeeWisconsinUnited StatesHartlandPewaukeeMenomonee FallsMilwaukeeSummitWaukeshaOconomowocNorth PrairieNashotahBig Bend-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%9.219%9.22%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.988%0.99%2-1.000000x-1.000000x5.376591x5.376591x5.38x1.099%1.10%5.910%5.91%3-1.000000x-1.000000x3.350060x3.350060x3.35x0.856%0.86%2.867%2.87%4-1.000000x-1.000000x3.167237x3.167237x3.17x4.469%4.47%14.155%14.2%5-1.000000x-1.000000x2.961857x2.961857x2.96x3.191%3.19%9.453%9.45%6-1.000000x-1.000000x2.753165x2.753165x2.75x1.672%1.67%4.603%4.60%7-1.000000x-1.000000x2.590300x2.590300x2.59x2.585%2.59%6.696%6.70%8-1.000000x-1.000000x2.558824x2.558824x2.56x3.448%3.45%8.824%8.82%9-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%10-1.000000x-1.000000x2.151688x2.151688x2.15x1.782%1.78%3.835%3.84%11-1.000000x-1.000000x2.126280x2.126280x2.13x0.482%0.48%1.024%1.02%12-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%13-1.000000x-1.000000x1.974359x1.974359x1.97x10.714%10.7%21.154%21.2%14-1.000000x-1.000000x1.912333x1.912333x1.91x1.321%1.32%2.525%2.53%15-1.000000x-1.000000x1.864145x1.864145x1.86x3.069%3.07%5.720%5.72%16-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%17-1.000000x-1.000000x1.695850x1.695850x1.70x2.951%2.95%5.005%5.00%-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-1.000000x1.508421x1.508421x1.51x2.876%2.88%4.339%4.34%18-1.000000x-1.000000x1.415052x1.415052x1.42x3.061%3.06%4.331%4.33%19-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%20-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%21-1.000000x-1.000000x1.244466x1.244466x1.24x5.003%5.00%6.226%6.23%22-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%23-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%24-1.069083x-1.069083x1.07x1.000000x1.000000x2.107%2.11%1.970%1.97%25-1.173992x-1.173992x1.17x1.000000x1.000000x5.894%5.89%5.020%5.02%26-1.853132x-1.853132x1.85x1.000000x1.000000x0.864%0.86%0.466%0.47%27
F percentage of females in category
M percentage of males in category
# rank of place out of 27 by male-to-female sex ratio

Educational Attainment by County Subdivision in Waukesha County

There are 38 county subdivisions in Waukesha County. This section compares all 38 of those to each other, Waukesha County, and other entities that contain or substantially overlap with Waukesha 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 Waukesha County, selected county subdivisions in Waukesha County, and entities that contain Waukesha County
0%5%10%Count#United States of AmericaUnited StatesEast North CentralMidwestMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeWisconsinWaukeshaLannonButlerDousmanHartlandTown of OttawaOttawaMenomonee FallsTown of WaukeshaWaukeshaTown of BrookfieldBrookfieldBig BendNew BerlinWaukesha CountyWaukeshaOconomowocSummitSussexMuskegoTown of OconomowocOconomowocTown of LisbonLisbonPewaukeeMukwonagoDelafieldBrookfieldTown of VernonVernonTown of MukwonagoMukwonagoElm GroveTown of GeneseeGeneseeNorth PrairieChenequaEagleWalesTown of MertonMertonTown of EagleMertonPewaukeeNashotahOconomowoc LakeOconomowoc LkTown of DelafieldDelafieldLac La Belle13.020590%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%336,096336k7.158983%7.158983%7.2%3,39317.052897%7.052897%7.1%5626.978367%6.978367%7.0%10036.243154%6.243154%6.2%11445.411725%5.411725%5.4%32454.671218%4.671218%4.7%13064.484909%4.484909%4.5%1,16574.353215%4.353215%4.4%28184.339461%4.339461%4.3%20394.260090%4.260090%4.3%38104.236891%4.236891%4.2%1,267114.116150%4.116150%4.1%11,37011.4k3.988090%3.988090%4.0%442123.883495%3.883495%3.9%124133.648037%3.648037%3.6%250143.554446%3.554446%3.6%598153.490760%3.490760%3.5%221163.474753%3.474753%3.5%267173.203803%3.203803%3.2%310182.819914%2.819914%2.8%145192.818329%2.818329%2.8%139202.806979%2.806979%2.8%761212.798574%2.798574%2.8%157222.790041%2.790041%2.8%158232.671933%2.671933%2.7%115242.638727%2.638727%2.6%136252.594194%2.594194%2.6%42262.512563%2.512563%2.5%10272.315964%2.315964%2.3%28282.232398%2.232398%2.2%39291.940402%1.940402%1.9%112301.852614%1.852614%1.9%45311.564723%1.564723%1.6%33321.525540%1.525540%1.5%89331.269531%1.269531%1.3%13341.028278%1.028278%1.0%4351.017592%1.017592%1.0%59360.917431%0.917431%0.9%237
Count number of people in category
# rank of county subdivision out of 37 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 Waukesha County, selected county subdivisions in Waukesha County, and entities that contain Waukesha County
0%20%40%60%Count#Elm GroveLac La BelleOconomowoc LakeOconomowoc LkChenequaBrookfieldTown of DelafieldDelafieldMertonNashotahDelafieldPewaukeeSummitTown of MertonMertonTown of BrookfieldBrookfieldWalesOconomowocTown of OconomowocOconomowocWaukesha CountyWaukeshaMenomonee FallsNew BerlinSussexTown of GeneseeGeneseeHartlandTown of WaukeshaWaukeshaPewaukeeTown of MukwonagoMukwonagoWaukeshaTown of OttawaOttawaMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMuskegoTown of LisbonLisbonNorth PrairieUnited States of AmericaUnited StatesMukwonagoTown of VernonVernonMidwestEast North CentralWisconsinButlerEagleTown of EagleDousmanBig BendLannon72.188662%72.188662%72.2%3,107159.174312%59.174312%59.2%129259.125964%59.125964%59.1%230358.793970%58.793970%58.8%234458.053926%58.053926%58.1%15,73915.7k556.881683%56.881683%56.9%3,298655.618777%55.618777%55.6%1,173753.808594%53.808594%53.8%551852.331711%52.331711%52.3%2,581951.705250%51.705250%51.7%5,0031050.078296%50.078296%50.1%1,5991149.306999%49.306999%49.3%2,8461244.292433%44.292433%44.3%2,0721344.247281%44.247281%44.2%7731444.229902%44.229902%44.2%4,9021544.116253%44.116253%44.1%2,7931641.623436%41.623436%41.6%114,976115k41.080228%41.080228%41.1%10,67110.7k1740.780498%40.780498%40.8%12,19512.2k1840.376477%40.376477%40.4%2,7671938.125728%38.125728%38.1%1,9652037.898781%37.898781%37.9%2,2692135.879163%35.879163%35.9%2,3162235.755914%35.755914%35.8%2,0862335.740773%35.740773%35.7%2,0242435.550164%35.550164%35.6%16,84916.8k2535.249731%35.249731%35.2%9812633.810164%33.810164%33.8%355,854356k33.499762%33.499762%33.5%5,6362732.053618%32.053618%32.1%2,4632831.562693%31.562693%31.6%5112930.315023%30.315023%30.3%64,767,78764.8M29.443796%29.443796%29.4%1,5143029.197861%29.197861%29.2%1,6383128.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.215632%27.215632%27.2%3903226.468156%26.468156%26.5%3203326.183615%26.183615%26.2%6363422.891566%22.891566%22.9%4183518.721973%18.721973%18.7%1673616.372796%16.372796%16.4%13037
Count number of people in category
# rank of county subdivision out of 37 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 Waukesha County, selected county subdivisions in Waukesha County, and entities that contain Waukesha County
0%5%10%15%Count#Elm GroveChenequaBrookfieldOconomowoc LakeOconomowoc LkTown of DelafieldDelafieldLac La BelleSummitNashotahWalesTown of GeneseeGeneseeDelafieldOconomowocTown of OconomowocOconomowocTown of MertonMertonWaukesha CountyWaukeshaTown of BrookfieldBrookfieldNew BerlinPewaukeeHartlandPewaukeeTown of MukwonagoMukwonagoUnited States of AmericaUnited StatesMenomonee FallsMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeTown of WaukeshaWaukeshaDousmanMidwestTown of EagleEast North CentralMertonWisconsinMuskegoTown of OttawaOttawaTown of VernonVernonWaukeshaNorth PrairieMukwonagoSussexTown of LisbonLisbonEagleBig BendLannonButler15.381041%15.381041%15.4%66219.798995%9.798995%9.8%3929.217661%9.217661%9.2%2,49936.426735%6.426735%6.4%2546.364264%6.364264%6.4%36955.963303%5.963303%6.0%1365.606013%5.606013%5.6%17975.468750%5.468750%5.5%5684.693761%4.693761%4.7%8294.520761%4.520761%4.5%233104.318735%4.318735%4.3%213114.222683%4.222683%4.2%468124.059390%4.059390%4.1%257134.054054%4.054054%4.1%234143.942743%3.942743%3.9%10,89110.9k3.826422%3.826422%3.8%179153.762039%3.762039%3.8%1,125163.679206%3.679206%3.7%356173.574411%3.574411%3.6%214183.359616%3.359616%3.4%196193.355112%3.355112%3.4%190203.336158%3.336158%3.3%7,127,6737.13M3.295350%3.295350%3.3%856213.286157%3.286157%3.3%34,58734.6k3.191325%3.191325%3.2%206223.066813%3.066813%3.1%56232.893416%2.893416%2.9%1,311,0191.31M2.881844%2.881844%2.9%70242.855432%2.855432%2.9%896,039896k2.797534%2.797534%2.8%59252.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450262.515271%2.515271%2.5%70272.424242%2.424242%2.4%136282.192214%2.192214%2.2%1,039292.038295%2.038295%2.0%33301.905873%1.905873%1.9%98311.838611%1.838611%1.8%126321.093181%1.093181%1.1%84330.744417%0.744417%0.7%9340.672646%0.672646%0.7%6350.503778%0.503778%0.5%4360.000000%0.000000%0.0%037
Count number of people in category
# rank of county subdivision out of 37 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 Waukesha County, selected county subdivisions in Waukesha County, and entities that contain Waukesha County
Female
Male
10x5x0x5x10xFM#Town of EagleLac La BelleOttawaLannonPewaukeeHartlandDelafieldEagleChenequaWaukeshaVernonMukwonagoBig BendGeneseeSummitDousmanNorth PrairieWaukeshaWisconsinMuskegoPewaukeeWaukeshaMertonMidwestEast North CentralUnited StatesMilwaukeeMenomonee FallsBrookfieldNew BerlinBrookfieldMukwonagoOconomowocOconomowocSussexLisbonMertonButlerWalesElm GroveDelafieldNashotahOconomowoc Lk-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.896%3.90%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.961%1.96%2-1.000000x-1.000000x3.456849x3.456849x3.46x2.041%2.04%7.055%7.05%3-1.000000x-1.000000x2.881481x2.881481x2.88x3.599%3.60%10.370%10.4%4-1.000000x-1.000000x2.458344x2.458344x2.46x0.905%0.91%2.225%2.23%5-1.000000x-1.000000x2.349083x2.349083x2.35x3.292%3.29%7.733%7.73%6-1.000000x-1.000000x2.074982x2.074982x2.07x0.660%0.66%1.370%1.37%7-1.000000x-1.000000x1.913652x1.913652x1.91x1.605%1.61%3.072%3.07%8-1.000000x-1.000000x1.907154x1.907154x1.91x1.676%1.68%3.196%3.20%9-1.000000x-1.000000x1.893208x1.893208x1.89x3.038%3.04%5.751%5.75%10-1.000000x-1.000000x1.851903x1.851903x1.85x1.962%1.96%3.634%3.63%11-1.000000x-1.000000x1.731706x1.731706x1.73x2.029%2.03%3.514%3.51%12-1.000000x-1.000000x1.654856x1.654856x1.65x3.240%3.24%5.361%5.36%13-1.000000x-1.000000x1.575758x1.575758x1.58x2.043%2.04%3.220%3.22%14-1.000000x-1.000000x1.574372x1.574372x1.57x3.027%3.03%4.765%4.76%15-1.000000x-1.000000x1.514241x1.514241x1.51x5.016%5.02%7.595%7.59%16-1.000000x-1.000000x1.461533x1.461533x1.46x2.107%2.11%3.079%3.08%17-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%18-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%19-1.000000x-1.000000x1.154088x1.154088x1.15x2.980%2.98%3.439%3.44%20-1.000000x-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%-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-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.077248x1.077248x1.08x4.329%4.33%4.663%4.66%22-1.000000x-1.000000x1.013079x1.013079x1.01x4.315%4.31%4.371%4.37%23-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%24-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%25-1.139343x-1.139343x1.14x1.000000x1.000000x2.993%2.99%2.627%2.63%26-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%27-1.450249x-1.450249x1.45x1.000000x1.000000x4.124%4.12%2.843%2.84%28-1.456932x-1.456932x1.46x1.000000x1.000000x4.308%4.31%2.957%2.96%29-1.479136x-1.479136x1.48x1.000000x1.000000x4.148%4.15%2.804%2.80%30-1.712242x-1.712242x1.71x1.000000x1.000000x1.970%1.97%1.151%1.15%31-1.830658x-1.830658x1.83x1.000000x1.000000x9.065%9.07%4.952%4.95%32-2.105758x-2.105758x2.11x1.000000x1.000000x3.055%3.06%1.451%1.45%33-2.511825x-2.511825x2.51x1.000000x1.000000x3.655%3.66%1.455%1.46%34-2.551624x-2.551624x2.55x1.000000x1.000000x3.951%3.95%1.548%1.55%35-3.155894x-3.155894x3.16x1.000000x1.000000x1.901%1.90%0.602%0.60%36-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.128%2.13%0.000%0%37
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 37 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 Waukesha County, selected county subdivisions in Waukesha County, and entities that contain Waukesha County
Female
Male
0x5x10xFM#LannonPewaukeeTown of EagleOconomowocSussexChenequaOconomowoc LkDousmanWalesLac La BelleDelafieldMuskegoBrookfieldMertonEagleBrookfieldElm GroveMukwonagoDelafieldWaukeshaMertonNew BerlinWaukeshaOttawaEast North CentralMidwestMilwaukeeWisconsinUnited StatesHartlandGeneseePewaukeeMenomonee FallsSummitWaukeshaOconomowocNorth PrairieNashotahMukwonagoVernonBig BendLisbon-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.988%0.99%1-1.000000x-1.000000x5.376591x5.376591x5.38x1.099%1.10%5.910%5.91%2-1.000000x-1.000000x3.722727x3.722727x3.72x1.256%1.26%4.675%4.68%3-1.000000x-1.000000x3.588364x3.588364x3.59x1.781%1.78%6.390%6.39%4-1.000000x-1.000000x3.350060x3.350060x3.35x0.856%0.86%2.867%2.87%5-1.000000x-1.000000x3.167237x3.167237x3.17x4.469%4.47%14.155%14.2%6-1.000000x-1.000000x2.961857x2.961857x2.96x3.191%3.19%9.453%9.45%7-1.000000x-1.000000x2.753165x2.753165x2.75x1.672%1.67%4.603%4.60%8-1.000000x-1.000000x2.590300x2.590300x2.59x2.585%2.59%6.696%6.70%9-1.000000x-1.000000x2.558824x2.558824x2.56x3.448%3.45%8.824%8.82%10-1.000000x-1.000000x2.545378x2.545378x2.55x3.579%3.58%9.110%9.11%11-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%12-1.000000x-1.000000x2.342052x2.342052x2.34x2.405%2.41%5.634%5.63%13-1.000000x-1.000000x2.151688x2.151688x2.15x1.782%1.78%3.835%3.84%14-1.000000x-1.000000x2.126280x2.126280x2.13x0.482%0.48%1.024%1.02%15-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%16-1.000000x-1.000000x1.974359x1.974359x1.97x10.714%10.7%21.154%21.2%17-1.000000x-1.000000x1.913109x1.913109x1.91x1.330%1.33%2.545%2.55%18-1.000000x-1.000000x1.864145x1.864145x1.86x3.069%3.07%5.720%5.72%19-1.000000x-1.000000x1.855485x1.855485x1.86x2.256%2.26%4.185%4.19%20-1.000000x-1.000000x1.725152x1.725152x1.73x2.984%2.98%5.147%5.15%21-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%22-1.000000x-1.000000x1.695850x1.695850x1.70x2.951%2.95%5.005%5.00%-1.000000x-1.000000x1.631096x1.631096x1.63x1.890%1.89%3.082%3.08%23-1.000000x-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-1.000000x1.508421x1.508421x1.51x2.876%2.88%4.339%4.34%24-1.000000x-1.000000x1.442450x1.442450x1.44x3.694%3.69%5.328%5.33%25-1.000000x-1.000000x1.415052x1.415052x1.42x3.061%3.06%4.331%4.33%26-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%27-1.000000x-1.000000x1.244466x1.244466x1.24x5.003%5.00%6.226%6.23%28-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%29-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%30-1.069083x-1.069083x1.07x1.000000x1.000000x2.107%2.11%1.970%1.97%31-1.173992x-1.173992x1.17x1.000000x1.000000x5.894%5.89%5.020%5.02%32-1.299297x-1.299297x1.30x1.000000x1.000000x3.804%3.80%2.928%2.93%33-1.387943x-1.387943x1.39x1.000000x1.000000x2.818%2.82%2.031%2.03%34-1.853132x-1.853132x1.85x1.000000x1.000000x0.864%0.86%0.466%0.47%35-2.121025x-2.121025x2.12x1.000000x1.000000x1.487%1.49%0.701%0.70%36
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 36 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 Waukesha County to all of the counties in the Milwaukee Area and to those entities that contain or substantially overlap with Waukesha 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 Waukesha County, selected other counties in the Milwaukee Area, and entities that contain Waukesha 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 Waukesha County, selected other counties in the Milwaukee Area, and entities that contain Waukesha 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 Waukesha County, selected other counties in the Milwaukee Area, and entities that contain Waukesha 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 Waukesha County, selected other counties in the Milwaukee Area, and entities that contain Waukesha 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 Waukesha County, selected other counties in the Milwaukee Area, and entities that contain Waukesha 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 Waukesha County to the 50 most populous counties in Wisconsin and to those entities that contain or substantially overlap with Waukesha 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 Waukesha County, selected other counties in Wisconsin, and entities that contain Waukesha 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 Waukesha County, selected other counties in Wisconsin, and entities that contain Waukesha 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 Waukesha County, selected other counties in Wisconsin, and entities that contain Waukesha 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 Waukesha County, selected other counties in Wisconsin, and entities that contain Waukesha 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 Waukesha County, selected other counties in Wisconsin, and entities that contain Waukesha 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 Waukesha County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Waukesha 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 Waukesha County, selected other counties in the United States, and entities that contain Waukesha County
0%5%10%15%20%25%Count#Bronx CountyBronxFresno CountyFresnoLos Angeles CountyLos AngelesDallas CountyDallasSan Bernardino CountySan BernardinoKings CountyKingsHarris CountyHarrisRiverside CountyRiversideMiami-Dade CountyMiami-DadeQueens CountyQueensPhiladelphia CountyPhiladelphiaBexar CountyBexarOrange CountyOrangeClark CountyClarkWayne CountyWayneTarrant CountyTarrantCook CountyCookSan Diego CountySan DiegoSacramento CountySacramentoMilwaukee CountyMilwaukeeMaricopa CountyMaricopaUnited States of AmericaUnited StatesNew York CountyNew YorkSanta Clara CountySanta ClaraAlameda CountyAlamedaWestchester CountyWestchesterOrange CountyOrangePima CountyPimaHillsborough CountyHillsboroughPalm Beach CountyPalm BeachTravis CountyTravisBroward CountyBrowardCuyahoga CountyCuyahogaContra Costa CountyContra CostaEast North CentralMecklenburg CountyMecklenburgMidwestSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkFranklin CountyFranklinMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonWisconsinFairfax CountyFairfaxWake CountyWakeKing CountyKingMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny CountyAlleghenyWaukesha CountyWaukesha28.837398%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%53,97454.0k504.116150%4.116150%4.1%11,37011.4k
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 Waukesha County, selected other counties in the United States, and entities that contain Waukesha 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. LouisWaukesha CountyWaukeshaContra 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%291,365291k1741.623436%41.623436%41.6%114,976115k40.269631%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 Waukesha County, selected other counties in the United States, and entities that contain Waukesha 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 CountySuffolkWaukesha CountyWaukeshaMiami-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%40,60740.6k273.942743%3.942743%3.9%10,89110.9k3.784527%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 Waukesha County, selected other counties in the United States, and entities that contain Waukesha County
Female
Male
1x0x1xFM#MecklenburgPalm BeachWisconsinWakeWestchesterFairfieldContra CostaWaukeshaHillsboroughFresnoMidwestEast 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-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%-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 Waukesha County, selected other counties in the United States, and entities that contain Waukesha County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandWaukeshaMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldEast 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-1.000000x1.695850x1.695850x1.70x2.951%2.95%5.005%5.00%-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.

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Demographics

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More Maps to Explore

Principal Cities:
Milwaukee, Waukesha
Cities:
Brookfield, Delafield, Milwaukee, Muskego, New Berlin, Oconomowoc, Pewaukee, Waukesha
Towns:
Brookfield, Delafield, Eagle, Genesee, Lisbon, Merton, Mukwonago, Oconomowoc, Ottawa, Vernon, Waukesha
Unincorporated Places:
Okauchee Lake
Villages:
Big Bend, Butler, Chenequa, Dousman, Eagle, Elm Grove, Hartland, Lac La Belle, Lannon, Menomonee Falls, Merton, Mukwonago, Nashotah, North Prairie, Oconomowoc Lake, Pewaukee, Summit, Sussex, Wales
ZIP Codes:
53005, 53007, 53017, 53018, 53029, 53036, 53045, 53046, 53051, 53058, 53066, 53069, 53072, 53089, 53103, 53118, 53119, 53122, 53146, 53149, 53150, 53151, 53153, 53183, 53186, 53188, 53189, 53225, 53702
Unified School Districts:
Elmbrook, Hamilton, Kettle Moraine, Menomonee Falls, Mukwonago, Muskego-Norway, New Berlin, Norris, Oconomowoc, Palmyra-Eagle, Pewaukee, Waukesha, West Allis
Elementary School Districts:
Hartland-Lakeside Joint No. 3, Lake Country, Merton, North Lake, Richmond, Stone Bank, Swallow, Washington-Caldwell
Secondary School Districts:
Arrowhead, Waterford
Congressional Districts:
WI-1, WI-4, WI-5
State Senate Districts:
WI-5, WI-8, WI-11, WI-13, WI-28, WI-33
Assembly Districts:
WI-13, WI-14, WI-15, WI-22, WI-24, WI-33, WI-38, WI-83, WI-84, WI-97, WI-98, WI-99
Neighboring Counties:
Dodge, Jefferson, Milwaukee, Ozaukee, Racine, Walworth, Washington
Nearby Counties:
Boone, Fond du Lac, Green Lake, Kenosha, McHenry, Rock, Sheboygan