Educational Attainment in Brown Deer, Wisconsin (Village)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wisconsin and Brown Deer
Brown Deer
Wisconsin
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma245.818182%38.686675%45.818182%45.8%4,03247.977273%52.676105%47.977273%48.0%4,2226.204545%8.637220%6.204545%6.2%546
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 Brown Deer
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma218.434014%18.434014%+18.4%45.818%45.8%38.687%38.7%-8.920235%-8.920235%-8.9%47.977%48.0%52.676%52.7%-28.165019%-28.165019%-28.2%6.205%6.20%8.637%8.64%
% percentage with given level in Brown Deer
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 Brown Deer
Brown Deer
Wisconsin
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.613636%1.094506%1.613636%1.6%1421.715909%1.609379%1.715909%1.7%1518.715909%6.922399%8.715909%8.7%76725.000000%18.747154%25.000000%25.0%2,2008.772727%10.313236%8.772727%8.8%77225.931818%20.983992%25.931818%25.9%2,28222.045455%31.692113%22.045455%22.0%1,9404.511364%5.657202%4.511364%4.5%3971.375000%2.130908%1.375000%1.4%1210.318182%0.849110%0.318182%0.3%28
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 Brown Deer
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None47.430517%47.430517%+47.4%1.614%1.61%1.095%1.09%6.619316%6.619316%+6.6%1.716%1.72%1.609%1.61%25.908789%25.908789%+25.9%8.716%8.72%6.922%6.92%33.353576%33.353576%+33.4%25.000%25.0%18.747%18.7%-14.937200%-14.937200%-14.9%8.773%8.77%10.313%10.3%23.579052%23.579052%+23.6%25.932%25.9%20.984%21.0%-30.438673%-30.438673%-30.4%22.045%22.0%31.692%31.7%-20.254512%-20.254512%-20.3%4.511%4.51%5.657%5.66%-35.473516%-35.473516%-35.5%1.375%1.38%2.131%2.13%-62.527598%-62.527598%-62.5%0.318%0.32%0.849%0.85%
% percentage with given level in Brown Deer
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 Brown Deer
More Females More Males
Wisconsin
Brown Deer
0%10%20%30%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-9.820753%0.901503%0.901503%1%45.630%45.6%46.041%46.0%-4.596945%-4.596945%5%3.687318%48.962%49.0%46.811%46.8%32.185839%21.929118%32.185839%32%5.408%5.41%7.148%7.15%
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 Brown Deer
More Females More Males
Wisconsin
Brown Deer
0%200%400%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None28.864994%49.112245%28.864994%29%1.425%1.43%1.837%1.84%420.186682%63.725126%420.186682%420%0.587%0.59%3.053%3.05%-38.901915%-26.714257%-38.901915%39%9.998%10.00%7.198%7.20%-0.045791%-10.314398%-0.045791%0%25.005%25.0%24.994%25.0%-14.230343%4.010583%4.010583%4%8.615%8.61%8.960%8.96%-14.427076%-1.828461%-14.427076%14%27.520%27.5%24.051%24.1%6.146542%7.484254%6.146542%6%21.442%21.4%22.760%22.8%54.905280%27.756322%54.905280%55%3.605%3.61%5.585%5.58%-28.430885%-28.430885%28%11.346432%1.530%1.53%1.191%1.19%36.634401%12.366663%36.634401%37%0.272%0.27%0.372%0.37%
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 Brown Deer
Brown Deer
Wisconsin
0%10%20%30%B.X.Total65+45-6435-4425-3416.944444%12.755764%16.944444%16.9%3662,16025.463223%17.674080%25.463223%25.5%9073,56223.554736%22.171538%23.554736%23.6%3831,62637.465565%25.037795%37.465565%37.5%5441,452
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 Brown Deer
0%10%20%30%40%%ref.65+45-6435-4425-3432.837548%32.837548%32.8%16.944%16.9%12.756%12.8%44.070992%44.070992%44.1%25.463%25.5%17.674%17.7%6.238619%6.238619%6.2%23.555%23.6%22.172%22.2%49.636037%49.636037%49.6%37.466%37.5%25.038%25.0%
% percentage in Brown Deer 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 Brown Deer
More Females More Males
Wisconsin
Brown Deer
60%40%20%0%20%40%60%FM65+45-6435-4425-342.057792%15.252186%2.057792%2.1%16.791%16.8%17.137%17.1%-8.291196%6.571818%6.571818%6.6%24.670%24.7%26.292%26.3%-22.719305%63.902439%63.902439%63.9%18.304%18.3%30.000%30.0%-60.359749%-29.514910%-60.359749%60.4%44.366%44.4%27.667%27.7%
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 Brown Deer
Brown Deer
Wisconsin
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$62,279.000000$61,842.000000$62,279.000000$62.3k1,06012.045%12.0%$41,088.000000$48,286.000000$41,088.000000$41.1k2,20025.000%25.0%$37,647.000000$34,771.000000$37,647.000000$37.6k3,05434.705%34.7%$32,298.000000$30,475.000000$32,298.000000$32.3k1,94022.045%22.0%$39,082.000000$36,855.000000$39,082.000000$39.1k8,800100.000%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 Brown Deer
Female Male
Wisconsin
Brown Deer
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-54,799.000000$-55,037.000000$-54,799.000000$54.8k$54,799.000000$8,237.000000$55,037.000000$18,141.000000$63,036.000000$63.0k573487$-36,960.000000$-40,915.000000$-36,960.000000$37.0k$36,960.000000$7,078.000000$40,915.000000$18,355.000000$44,038.000000$44.0k1,1931,007$-29,532.000000$-28,362.000000$-29,532.000000$29.5k$29,532.000000$26,059.000000$28,362.000000$14,055.000000$55,591.000000$55.6k1,7241,330$-31,845.000000$-23,872.000000$-31,845.000000$31.8k$31,845.000000$3,189.000000$23,872.000000$12,519.000000$35,034.000000$35.0k1,023917$-32,948.000000$-30,829.000000$-32,948.000000$32.9k$32,948.000000$14,042.000000$30,829.000000$12,328.000000$46,990.000000$47.0k4,7714,029
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 Brown Deer
Brown Deer
Wisconsin
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%32.763533%0100.000000%54.226021%100.000000%100.0%120.000000%0.000000%0.0%12.203229%00.000000%0.000000%0.0%0.807217%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Wisconsin and Brown Deer
Brown Deer
Wisconsin
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma383.935290%85.899471%83.935290%83.9%2,23175.863470%79.335494%75.863470%75.9%1,86777.596899%73.240943%77.596899%77.6%1,00138.961039%53.971506%38.961039%39.0%90
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 Brown Deer
Female Male
Wisconsin
Brown Deer
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1BlackAsianHispanic2Other1-1.047120%-5.697819%-1.047120%1.0%1.047120%4.338044%5.697819%1.469036%5.385164%5.4%15128-9.756098%-17.429079%-9.756098%9.8%9.756098%1.060679%17.429079%2.936718%10.816777%10.8%98160-23.129252%-9.406633%-14.441272%-4.641233%-32.535885%32.5%23.129252%14.441272%23.129252%23.1%3468-0.000000%-31.307944%0.000000%0.0%0.000000%3.546099%31.307944%5.178771%3.546099%3.5%50-0.000000%-1.030928%-22.693686%-1.030928%1.0%0.000000%22.693686%3.979967%0.000000%0.0%02
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 Brown Deer
Female Male
Wisconsin
Brown Deer
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-40.276739%-28.711494%-2.079187%-40.276739%40.3%40.276739%5.978611%28.711494%46.255350%46.3%1,2971,077-16.445916%-11.419938%-11.717867%-3.588054%-27.865854%27.9%16.445916%11.717867%16.445916%16.4%149457-21.768707%-28.470527%-44.377167%-50.239234%50.2%21.768707%44.377167%4.100638%21.768707%21.8%32105-11.347518%-8.652482%-10.433533%-4.583778%-20.000000%20.0%11.347518%10.433533%11.347518%11.3%1626-0.000000%-52.061856%-13.316792%-4.610459%-52.061856%52.1%0.000000%13.316792%0.000000%0.0%0101
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in Brown Deer

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

Percentage of the population 25 years and older with given highest level of educational attainment
43.2%44.3%45.5%46.6%47.7%48.9%

Coarse: High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
46.97%47.35%47.72%48.10%48.47%48.85%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4.2%5.0%5.7%6.4%7.2%8.0%

Detailed: Doctorate Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
1.08%1.31%1.54%1.77%2.00%2.23%

Detailed: Professional Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
1.39%1.52%1.63%1.75%1.87%2.00%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.75%8.17%8.58%9.00%9.41%9.83%

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

Percentage of the population 25 years and older with given highest level of educational attainment
22.3%23.5%24.6%25.8%27.0%28.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.2%7.8%8.4%9.0%9.5%10.1%

Detailed: Some College Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
23.1%24.2%25.2%26.3%27.3%28.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
20.5%21.2%21.8%22.5%23.1%23.9%

Detailed: Some High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
2.8%3.4%4.1%4.7%5.3%6.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.07%1.19%1.30%1.41%1.52%1.64%

Detailed: None Educational Attainment by Tract#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.31799%0.31808%0.31816%0.31824%0.31831%0.31840%
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Educational Attainment by Place in the Milwaukee Area

There are 64 places in the Milwaukee Area. This section compares Brown Deer to all of the places in the Milwaukee Area and to those entities that contain or substantially overlap with Brown Deer.

No H.S. Diploma by Place#29

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Brown Deer, selected other places in the Milwaukee Area, and entities that contain Brown Deer
0%5%10%15%20%Count#West MilwaukeeW MilwaukeeMilwaukeeMilwaukee CountyMilwaukeeUnited States of AmericaUnited StatesKewaskumSt. FrancisCudahyEast North CentralMidwestWest AllisMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSouth MilwaukeeS MilwaukeeWisconsinGreenfieldBelgiumNewburgFredoniaFranklinWaukeshaHartfordLannonSaukvilleButlerWest BendSlingerJacksonDousmanBrown Deer School DistrictBrown DeerBrown DeerOak CreekHales CornersHartlandGermantownGlendaleMenomonee FallsPort WashingtonBig BendOconomowocWauwatosaRichfieldBrookfieldChenequaWhitefish BayMertonPewaukeeNashotahRiver HillsOconomowoc LakeOconomowoc LkLac La Belle20.198675%20.198675%20.2%549117.485105%17.485105%17.5%63,80063.8k213.092854%13.092854%13.1%81,52281.5k13.020590%13.020590%13.0%27,818,38027.8M11.580087%11.580087%11.6%321311.382006%11.382006%11.4%859411.082337%11.082337%11.1%1,455510.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,39969.572772%9.572772%9.6%100,754101k9.190270%9.190270%9.2%1,37978.637220%8.637220%8.6%336,096336k8.204982%8.204982%8.2%2,29687.757405%7.757405%7.8%11097.656613%7.656613%7.7%66107.432432%7.432432%7.4%110117.392323%7.392323%7.4%1,924127.158983%7.158983%7.2%3,393137.103195%7.103195%7.1%678147.052897%7.052897%7.1%56156.984668%6.984668%7.0%205166.978367%6.978367%7.0%100176.565400%6.565400%6.6%1,422186.437518%6.437518%6.4%221196.248676%6.248676%6.2%295206.243154%6.243154%6.2%114216.204545%6.204545%6.2%5466.204545%6.204545%6.2%546225.765641%5.765641%5.8%1,421235.418012%5.418012%5.4%302245.411725%5.411725%5.4%324255.227570%5.227570%5.2%719264.601195%4.601195%4.6%439274.484909%4.484909%4.5%1,165284.357654%4.357654%4.4%347294.260090%4.260090%4.3%38303.988090%3.988090%4.0%442323.390471%3.390471%3.4%1,167373.118254%3.118254%3.1%260412.806979%2.806979%2.8%761462.512563%2.512563%2.5%10502.149733%2.149733%2.1%201551.564723%1.564723%1.6%33591.525540%1.525540%1.5%89601.269531%1.269531%1.3%13611.090909%1.090909%1.1%12621.028278%1.028278%1.0%4630.917431%0.917431%0.9%264
Count number of people in category
# rank of place out of 64 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#30

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Brown Deer, selected other places in the Milwaukee Area, and entities that contain Brown Deer
0%20%40%60%Count#Fox PointRiver HillsElm GroveWhitefish BayBaysideShorewoodMequonLac La BelleOconomowoc LakeOconomowoc LkChenequaWauwatosaBrookfieldCedarburgMertonNashotahDelafieldPewaukeeGlendaleOkauchee LakeSummitThiensvilleWalesOconomowocMenomonee FallsNew BerlinGreendaleGraftonSussexGermantownRichfieldHartlandBrown Deer School DistrictBrown DeerBrown DeerWaukeshaMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesMilwaukee CountyMilwaukeeMukwonagoMidwestEast North CentralWisconsinWest BendSaukvilleWest AllisMilwaukeeDousmanWest MilwaukeeW MilwaukeeBig BendKewaskumNewburgLannonAllenton76.587796%76.587796%76.6%3,690175.727273%75.727273%75.7%833272.188662%72.188662%72.2%3,107372.160428%72.160428%72.2%6,747470.238095%70.238095%70.2%2,301567.511447%67.511447%67.5%6,340663.254765%63.254765%63.3%10,65410.7k759.174312%59.174312%59.2%129859.125964%59.125964%59.1%230958.793970%58.793970%58.8%2341058.155142%58.155142%58.2%20,01720.0k1158.053926%58.053926%58.1%15,73915.7k1257.351622%57.351622%57.4%4,4741355.618777%55.618777%55.6%1,1731453.808594%53.808594%53.8%5511552.331711%52.331711%52.3%2,5811651.705250%51.705250%51.7%5,0031751.200084%51.200084%51.2%4,8851850.094340%50.094340%50.1%1,5931950.078296%50.078296%50.1%1,5992049.934066%49.934066%49.9%1,1362144.247281%44.247281%44.2%7732244.229902%44.229902%44.2%4,9022341.080228%41.080228%41.1%10,67110.7k2440.780498%40.780498%40.8%12,19512.2k2540.649179%40.649179%40.6%4,3082640.412547%40.412547%40.4%3,3112740.376477%40.376477%40.4%2,7672839.610295%39.610295%39.6%5,4482939.385944%39.385944%39.4%3,2843037.898781%37.898781%37.9%2,2693237.045455%37.045455%37.0%3,26037.045455%37.045455%37.0%3,2603535.550164%35.550164%35.6%16,84916.8k3733.810164%33.810164%33.8%355,854356k30.315023%30.315023%30.3%64,767,78764.8M29.748251%29.748251%29.7%185,226185k29.608184%29.608184%29.6%1,5344128.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.212706%27.212706%27.2%5,8944625.826235%25.826235%25.8%7585023.980394%23.980394%24.0%10,51910.5k5323.517740%23.517740%23.5%85,81285.8k5422.891566%22.891566%22.9%4185519.131714%19.131714%19.1%5205918.721973%18.721973%18.7%1676017.676768%17.676768%17.7%4906116.937355%16.937355%16.9%1466216.372796%16.372796%16.4%1306316.021362%16.021362%16.0%12064
Count number of people in category
# rank of place out of 64 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#31

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Brown Deer, selected other places in the Milwaukee Area, and entities that contain Brown Deer
0%5%10%15%20%Count#River HillsFox PointElm GroveShorewoodBaysideWhitefish BayMequonChenequaBrookfieldWauwatosaThiensvilleGlendaleOconomowoc LakeOconomowoc LkLac La BelleCedarburgSummitNashotahSaukvilleWalesOkauchee LakeDelafieldOconomowocNew BerlinGreendalePewaukeeHartlandPewaukeeUnited States of AmericaUnited StatesBrown Deer School DistrictBrown DeerBrown DeerMenomonee FallsMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeePort WashingtonDousmanMilwaukee CountyMilwaukeeMidwestEast North CentralSt. FrancisWisconsinGraftonWaukeshaMilwaukeeGreenfieldFredoniaWest AllisHartfordBig BendLannonNewburgJacksonButlerAllenton21.181818%21.181818%21.2%233119.966791%19.966791%20.0%962215.381041%15.381041%15.4%662313.736556%13.736556%13.7%1,290412.148962%12.148962%12.1%398512.064171%12.064171%12.1%1,128611.084724%11.084724%11.1%1,86779.798995%9.798995%9.8%3989.217661%9.217661%9.2%2,49998.094131%8.094131%8.1%2,786106.681319%6.681319%6.7%152116.435384%6.435384%6.4%614126.426735%6.426735%6.4%25135.963303%5.963303%6.0%13145.704397%5.704397%5.7%445155.606013%5.606013%5.6%179165.468750%5.468750%5.5%56175.008518%5.008518%5.0%147184.693761%4.693761%4.7%82194.528302%4.528302%4.5%144204.318735%4.318735%4.3%213214.222683%4.222683%4.2%468223.762039%3.762039%3.8%1,125233.727118%3.727118%3.7%395243.679206%3.679206%3.7%356253.574411%3.574411%3.6%214263.359616%3.359616%3.4%196273.336158%3.336158%3.3%7,127,6737.13M3.329545%3.329545%3.3%2933.329545%3.329545%3.3%293283.295350%3.295350%3.3%856293.286157%3.286157%3.3%34,58734.6k3.214869%3.214869%3.2%256303.066813%3.066813%3.1%56322.985811%2.985811%3.0%18,59118.6k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.756062%2.756062%2.8%208372.703886%2.703886%2.7%105,215105k2.441108%2.441108%2.4%200412.192214%2.192214%2.2%1,039422.043126%2.043126%2.0%7,455431.868992%1.868992%1.9%523461.621622%1.621622%1.6%24501.251567%1.251567%1.3%549541.016239%1.016239%1.0%97550.672646%0.672646%0.7%6590.503778%0.503778%0.5%4600.464037%0.464037%0.5%4610.000000%0.000000%0.0%0620.000000%0.000000%0.0%0630.000000%0.000000%0.0%064
Count number of people in category
# rank of place out of 64 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#32

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 Brown Deer, selected other places in the Milwaukee Area, and entities that contain Brown Deer
Female
Male
10x5x0x5x10xFM#Lac La BelleLannonPewaukeeHartlandRiver HillsGreendaleEagleChenequaW MilwaukeeBig BendFranklinSummitDousmanWaubekaRichfieldNorth PrairieBrown DeerBrown DeerWauwatosaWaukeshaWhitefish BayWisconsinGermantownMuskegoPewaukeeMequonMidwestEast North CentralMilwaukeeWest BendNewburgMilwaukeeHartfordUnited StatesPort WashingtonMilwaukeeMenomonee FallsOak CreekHales CornersWest AllisCudahyKewaskumCedarburgShorewoodElm GroveDelafieldNashotahOkauchee LakeAllentonOconomowoc 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-1.000000x2.271845x2.271845x2.27x0.684%0.68%1.553%1.55%5-1.000000x-1.000000x2.150369x2.150369x2.15x2.213%2.21%4.758%4.76%6-1.000000x-1.000000x1.913652x1.913652x1.91x1.605%1.61%3.072%3.07%7-1.000000x-1.000000x1.907154x1.907154x1.91x1.676%1.68%3.196%3.20%8-1.000000x-1.000000x1.722885x1.722885x1.72x14.842%14.8%25.571%25.6%9-1.000000x-1.000000x1.654856x1.654856x1.65x3.240%3.24%5.361%5.36%10-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%11-1.000000x-1.000000x1.574372x1.574372x1.57x3.027%3.03%4.765%4.76%12-1.000000x-1.000000x1.514241x1.514241x1.51x5.016%5.02%7.595%7.59%13-1.000000x-1.000000x1.505618x1.505618x1.51x2.488%2.49%3.745%3.75%14-1.000000x-1.000000x1.494002x1.494002x1.49x2.504%2.50%3.740%3.74%15-1.000000x-1.000000x1.461533x1.461533x1.46x2.107%2.11%3.079%3.08%16-1.000000x-1.000000x1.321858x1.321858x1.32x5.408%5.41%7.148%7.15%-1.000000x-1.000000x1.321858x1.321858x1.32x5.408%5.41%7.148%7.15%17-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%18-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%19-1.000000x-1.000000x1.284172x1.284172x1.28x1.899%1.90%2.438%2.44%20-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%21-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%22-1.000000x-1.000000x1.154088x1.154088x1.15x2.980%2.98%3.439%3.44%23-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%24-1.000000x-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%25-1.000000x-1.000000x1.118245x1.118245x1.12x6.211%6.21%6.945%6.95%26-1.000000x-1.000000x1.118155x1.118155x1.12x7.240%7.24%8.095%8.10%27-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%-1.000000x-1.000000x1.109296x1.109296x1.11x6.741%6.74%7.478%7.48%28-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.103873x1.103873x1.10x4.145%4.14%4.575%4.58%29-1.000000x-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%30-1.000000x-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%32-1.023703x-1.023703x1.02x1.000000x1.000000x5.476%5.48%5.349%5.35%37-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%38-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%41-1.319688x-1.319688x1.32x1.000000x1.000000x13.149%13.1%9.963%9.96%46-1.451447x-1.451447x1.45x1.000000x1.000000x3.640%3.64%2.508%2.51%50-1.992381x-1.992381x1.99x1.000000x1.000000x3.093%3.09%1.553%1.55%55-2.511825x-2.511825x2.51x1.000000x1.000000x3.655%3.66%1.455%1.46%59-2.551624x-2.551624x2.55x1.000000x1.000000x3.951%3.95%1.548%1.55%60-3.155894x-3.155894x3.16x1.000000x1.000000x1.901%1.90%0.602%0.60%61-3.638775x-3.638775x3.64x1.000000x1.000000x3.028%3.03%0.832%0.83%62-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.981%3.98%0.000%0%63-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.128%2.13%0.000%0%64
F percentage of females in category
M percentage of males in category
# rank of place out of 64 by male-to-female sex ratio

Over-Education Sex Ratio by Place#33

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 Brown Deer, selected other places in the Milwaukee Area, and entities that contain Brown Deer
Female
Male
10x5x0x5x10xFM#Okauchee LakeLannonPewaukeeBaysideGraftonSussexChenequaOconomowoc LkDousmanCudahyWalesLac La BelleMuskegoBrown DeerBrown DeerMequonGreendaleRichfieldMertonEagleBrookfieldRiver HillsElm GroveMukwonagoDelafieldSaukvilleWhitefish BayNew BerlinWest AllisWauwatosaShorewoodWest BendEast North CentralMidwestMilwaukeeWisconsinUnited StatesHartlandMilwaukeePewaukeeMilwaukeeSummitWaukeshaNorth PrairieNashotahFredoniaW MilwaukeeWaubekaKewaskumHartfordNewburg-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-1.000000x3.594848x3.594848x3.59x5.385%5.38%19.357%19.4%4-1.000000x-1.000000x3.442806x3.442806x3.44x1.151%1.15%3.962%3.96%5-1.000000x-1.000000x3.350060x3.350060x3.35x0.856%0.86%2.867%2.87%6-1.000000x-1.000000x3.167237x3.167237x3.17x4.469%4.47%14.155%14.2%7-1.000000x-1.000000x2.961857x2.961857x2.96x3.191%3.19%9.453%9.45%8-1.000000x-1.000000x2.753165x2.753165x2.75x1.672%1.67%4.603%4.60%9-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%10-1.000000x-1.000000x2.590300x2.590300x2.59x2.585%2.59%6.696%6.70%11-1.000000x-1.000000x2.558824x2.558824x2.56x3.448%3.45%8.824%8.82%12-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%13-1.000000x-1.000000x2.430005x2.430005x2.43x2.012%2.01%4.890%4.89%-1.000000x-1.000000x2.430005x2.430005x2.43x2.012%2.01%4.890%4.89%14-1.000000x-1.000000x2.345235x2.345235x2.35x6.743%6.74%15.813%15.8%15-1.000000x-1.000000x2.289014x2.289014x2.29x2.351%2.35%5.381%5.38%16-1.000000x-1.000000x2.277148x2.277148x2.28x1.526%1.53%3.475%3.47%17-1.000000x-1.000000x2.151688x2.151688x2.15x1.782%1.78%3.835%3.84%18-1.000000x-1.000000x2.126280x2.126280x2.13x0.482%0.48%1.024%1.02%19-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%20-1.000000x-1.000000x1.977841x1.977841x1.98x14.530%14.5%28.738%28.7%21-1.000000x-1.000000x1.974359x1.974359x1.97x10.714%10.7%21.154%21.2%22-1.000000x-1.000000x1.912333x1.912333x1.91x1.321%1.32%2.525%2.53%23-1.000000x-1.000000x1.864145x1.864145x1.86x3.069%3.07%5.720%5.72%24-1.000000x-1.000000x1.836555x1.836555x1.84x3.627%3.63%6.662%6.66%25-1.000000x-1.000000x1.708618x1.708618x1.71x9.075%9.07%15.505%15.5%26-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%27-1.000000x-1.000000x1.693783x1.693783x1.69x0.936%0.94%1.585%1.59%28-1.000000x-1.000000x1.663311x1.663311x1.66x6.193%6.19%10.301%10.3%29-1.000000x-1.000000x1.656396x1.656396x1.66x10.517%10.5%17.420%17.4%30-1.000000x-1.000000x1.632200x1.632200x1.63x0.991%0.99%1.617%1.62%31-1.000000x-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%35-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%-1.000000x-1.000000x1.415052x1.415052x1.42x3.061%3.06%4.331%4.33%39-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%41-1.000000x-1.000000x1.244466x1.244466x1.24x5.003%5.00%6.226%6.23%43-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%46-1.069083x-1.069083x1.07x1.000000x1.000000x2.107%2.11%1.970%1.97%48-1.173992x-1.173992x1.17x1.000000x1.000000x5.894%5.89%5.020%5.02%52-2.082759x-2.082759x2.08x1.000000x1.000000x2.207%2.21%1.060%1.06%56-2.891477x-2.891477x2.89x1.000000x1.000000x2.131%2.13%0.737%0.74%57-2.988806x-2.988806x2.99x1.000000x1.000000x4.478%4.48%1.498%1.50%58-4.179104x-4.179104x4.18x1.000000x1.000000x3.980%3.98%0.952%0.95%59-7.565151x-7.565151x7.57x1.000000x1.000000x1.773%1.77%0.234%0.23%60-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.905%0.90%0.000%0%61
F percentage of females in category
M percentage of males in category
# rank of place out of 61 by male-to-female sex ratio

Educational Attainment by Place in Wisconsin

There are 779 places in Wisconsin. This section compares Brown Deer to the 50 most populous places in Wisconsin and to those entities that contain or substantially overlap with Brown Deer. The least populous of the compared places has a population of 16,289.

No H.S. Diploma by Place#34

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Brown Deer, selected other places in Wisconsin, and entities that contain Brown Deer
0%5%10%15%Count#BeloitRacineMilwaukeeMilwaukee CountyMilwaukeeUnited States of AmericaUnited StatesGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshWatertownBeaver DamMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSouth MilwaukeeS MilwaukeeMenashaMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldAppletonPleasant PrairieFranklinWaukeshaLa CrosseWisconsin RapidsCaledoniaWest BendSuperiorBrown Deer School DistrictBrown DeerBrown DeerAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekGermantownOnalaskaMadisonMenomonee FallsNew BerlinOconomowocSun PrairieDe PereMuskegoWauwatosaBrookfieldMiddletonMequon18.491431%18.491431%18.5%4,197117.907441%17.907441%17.9%8,710217.485105%17.485105%17.5%63,80063.8k313.092854%13.092854%13.1%81,52281.5k13.020590%13.020590%13.0%27,818,38027.8M12.535944%12.535944%12.5%8,414411.643417%11.643417%11.6%3,806511.549265%11.549265%11.5%7,360611.206563%11.206563%11.2%2,609711.082337%11.082337%11.1%1,455810.776184%10.776184%10.8%2,885910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,399109.995428%9.995428%10.0%4,154119.964969%9.964969%10.0%1,593129.950027%9.950027%10.0%1,115139.572772%9.572772%9.6%100,754101k9.190270%9.190270%9.2%1,379149.091676%9.091676%9.1%1,078158.937292%8.937292%8.9%1,153168.713948%8.713948%8.7%2,547178.662728%8.662728%8.7%1,613188.637220%8.637220%8.6%336,096336k8.522583%8.522583%8.5%3,704198.211921%8.211921%8.2%620208.204982%8.204982%8.2%2,296217.893747%7.893747%7.9%3,777227.709924%7.709924%7.7%1,111237.392323%7.392323%7.4%1,924247.158983%7.158983%7.2%3,393257.116644%7.116644%7.1%2,075267.048284%7.048284%7.0%889276.746719%6.746719%6.7%1,208286.565400%6.565400%6.6%1,422296.289585%6.289585%6.3%1,142306.204545%6.204545%6.2%5466.204545%6.204545%6.2%5466.168099%6.168099%6.2%739316.130952%6.130952%6.1%2,472326.111996%6.111996%6.1%883336.065319%6.065319%6.1%780346.042598%6.042598%6.0%1,149355.863324%5.863324%5.9%1,015365.765641%5.765641%5.8%1,421375.227570%5.227570%5.2%719384.888290%4.888290%4.9%617394.836248%4.836248%4.8%7,351404.484909%4.484909%4.5%1,165414.236891%4.236891%4.2%1,267423.988090%3.988090%4.0%442433.955766%3.955766%4.0%812443.911088%3.911088%3.9%600453.554446%3.554446%3.6%598463.390471%3.390471%3.4%1,167472.806979%2.806979%2.8%761482.731305%2.731305%2.7%351492.107701%2.107701%2.1%35550
Count number of people in category
# rank of place out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#35

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Brown Deer, selected other places in Wisconsin, and entities that contain Brown Deer
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocMenomonee FallsSun PrairieNew BerlinGermantownFranklinBrown Deer School DistrictBrown DeerBrown DeerStevens PointDe PereWaukeshaOnalaskaMenomonieMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahAppletonEau ClaireOak CreekUnited States of AmericaUnited StatesMilwaukee CountyMilwaukeeMarshfieldMidwestGreenfieldCaledoniaHowardEast North CentralWisconsinWest BendAshwaubenonWausauOshkoshGreen BayWest AllisFond du LacMilwaukeeKenoshaSuperiorMenashaJanesvilleCudahyWatertownManitowocSouth MilwaukeeS MilwaukeeSheboyganBeaver DamRacineBeloitWisconsin Rapids63.254765%63.254765%63.3%10,65410.7k158.898140%58.898140%58.9%7,569258.155142%58.155142%58.2%20,01720.0k358.053926%58.053926%58.1%15,73915.7k456.337583%56.337583%56.3%85,63285.6k546.358754%46.358754%46.4%8,632644.229902%44.229902%44.2%4,902741.080228%41.080228%41.1%10,67110.7k841.077605%41.077605%41.1%8,432940.780498%40.780498%40.8%12,19512.2k1039.610295%39.610295%39.6%5,4481137.841472%37.841472%37.8%9,8491237.045455%37.045455%37.0%3,26037.045455%37.045455%37.0%3,26036.471240%36.471240%36.5%5,2691336.151489%36.151489%36.2%5,5461435.550164%35.550164%35.6%16,84916.8k1535.152908%35.152908%35.2%4,4371635.139073%35.139073%35.1%2,6531733.810164%33.810164%33.8%355,854356k33.499762%33.499762%33.5%5,6361833.074254%33.074254%33.1%4,7661932.942347%32.942347%32.9%9,6052032.747831%32.747831%32.7%6,2272132.464907%32.464907%32.5%5,6202232.084936%32.084936%32.1%15,35215.4k2331.840278%31.840278%31.8%12,83812.8k2431.640023%31.640023%31.6%7,7982530.315023%30.315023%30.3%64,767,78764.8M29.748251%29.748251%29.7%185,226185k28.966747%28.966747%29.0%3,7372628.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0932728.919296%28.919296%28.9%5,1782828.794712%28.794712%28.8%3,7032928.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.212706%27.212706%27.2%5,8943026.525332%26.525332%26.5%3,1783125.519199%25.519199%25.5%6,8323224.478452%24.478452%24.5%10,17310.2k3324.139215%24.139215%24.1%16,20216.2k3423.980394%23.980394%24.0%10,51910.5k3523.606692%23.606692%23.6%6,9003623.517740%23.517740%23.5%85,81285.8k3722.927488%22.927488%22.9%14,61114.6k3822.415597%22.415597%22.4%4,0703922.130387%22.130387%22.1%2,6244022.035848%22.035848%22.0%9,5774121.471552%21.471552%21.5%2,8194221.037158%21.037158%21.0%3,3634321.017138%21.017138%21.0%4,8934420.519827%20.519827%20.5%3,0794519.530103%19.530103%19.5%6,3844618.623951%18.623951%18.6%2,0874717.525031%17.525031%17.5%8,5244816.605719%16.605719%16.6%3,7694915.880441%15.880441%15.9%2,00350
Count number of people in category
# rank of place out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#36

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Brown Deer, selected other places in Wisconsin, and entities that contain Brown Deer
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocNew BerlinUnited States of AmericaUnited StatesBrown Deer School DistrictBrown DeerBrown DeerMenomonee FallsSun PrairieMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeNeenahFranklinDe PereGermantownMilwaukee CountyMilwaukeeMidwestEast North CentralEau ClaireWisconsinMuskegoPleasant PrairieAppletonBeaver DamWausauCaledoniaMount PleasantMt PleasantWaukeshaMilwaukeeGreenfieldOak CreekBeloitGreen BayKenoshaWisconsin RapidsJanesvilleOshkoshSuperiorFond du LacHowardWatertownCudahyWest BendMenashaWest AllisRacineManitowocSouth MilwaukeeS MilwaukeeSheboyganAshwaubenon11.084724%11.084724%11.1%1,867110.022566%10.022566%10.0%1,28829.217661%9.217661%9.2%2,49939.171173%9.171173%9.2%13,94013.9k48.094131%8.094131%8.1%2,78657.196563%7.196563%7.2%1,34066.123556%6.123556%6.1%79074.993377%4.993377%5.0%37784.777583%4.777583%4.8%1,39394.679172%4.679172%4.7%676104.547615%4.547615%4.5%574114.222683%4.222683%4.2%468123.762039%3.762039%3.8%1,125133.336158%3.336158%3.3%7,127,6737.13M3.329545%3.329545%3.3%2933.329545%3.329545%3.3%2933.295350%3.295350%3.3%856143.288352%3.288352%3.3%675153.286157%3.286157%3.3%34,58734.6k3.188724%3.188724%3.2%552163.100626%3.100626%3.1%807173.083241%3.083241%3.1%473182.995492%2.995492%3.0%412192.985811%2.985811%3.0%18,59118.6k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.785218%2.785218%2.8%1,123202.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450212.637058%2.637058%2.6%380222.614529%2.614529%2.6%1,251232.552204%2.552204%2.6%286242.416704%2.416704%2.4%647252.356884%2.356884%2.4%422262.303445%2.303445%2.3%438272.192214%2.192214%2.2%1,039282.043126%2.043126%2.0%7,455291.868992%1.868992%1.9%523301.809624%1.809624%1.8%446311.784377%1.784377%1.8%405321.777440%1.777440%1.8%1,193331.762204%1.762204%1.8%1,123341.688734%1.688734%1.7%213351.555418%1.555418%1.6%676361.549604%1.549604%1.5%644371.525582%1.525582%1.5%277381.454035%1.454035%1.5%425391.384137%1.384137%1.4%178401.319905%1.319905%1.3%211411.302460%1.302460%1.3%171421.292765%1.292765%1.3%280431.281943%1.281943%1.3%152441.251567%1.251567%1.3%549451.155451%1.155451%1.2%562461.133972%1.133972%1.1%264470.893036%0.893036%0.9%134480.868820%0.868820%0.9%284490.784576%0.784576%0.8%9450
Count number of people in category
# rank of place 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 Place#37

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 Brown Deer, selected other places in Wisconsin, and entities that contain Brown Deer
Female
Male
1x0x1x2xFM#De PereMenashaOshkoshFranklinCaledoniaManitowocGreen BayPleasant PrairieBrown DeerBrown DeerWauwatosaWaukeshaJanesvilleMt PleasantSuperiorAppletonStevens PointWisconsinRacineGermantownMadisonMuskegoKenoshaMequonMidwestEast North CentralEau ClaireMilwaukeeWest BendOnalaskaMilwaukeeUnited StatesWatertownWisconsin RapidsMilwaukeeMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisMarshfieldS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%1-1.000000x-1.000000x1.960722x1.960722x1.96x6.261%6.26%12.276%12.3%2-1.000000x-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.534399x1.534399x1.53x5.333%5.33%8.182%8.18%5-1.000000x-1.000000x1.432549x1.432549x1.43x9.294%9.29%13.313%13.3%6-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%7-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.321858x1.321858x1.32x5.408%5.41%7.148%7.15%-1.000000x-1.000000x1.321858x1.321858x1.32x5.408%5.41%7.148%7.15%-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%9-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%10-1.000000x-1.000000x1.294088x1.294088x1.29x7.468%7.47%9.664%9.66%11-1.000000x-1.000000x1.293422x1.293422x1.29x5.323%5.32%6.885%6.89%12-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%13-1.000000x-1.000000x1.235164x1.235164x1.24x7.086%7.09%8.753%8.75%14-1.000000x-1.000000x1.229327x1.229327x1.23x5.499%5.50%6.760%6.76%15-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.214505x1.214505x1.21x16.245%16.2%19.730%19.7%16-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%17-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%18-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%19-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%20-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%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-1.000000x1.125239x1.125239x1.13x5.782%5.78%6.506%6.51%22-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%23-1.000000x-1.000000x1.118245x1.118245x1.12x6.211%6.21%6.945%6.95%24-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%25-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.108964x1.108964x1.11x9.478%9.48%10.511%10.5%26-1.000000x-1.000000x1.104741x1.104741x1.10x6.724%6.72%7.428%7.43%27-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.077248x1.077248x1.08x4.329%4.33%4.663%4.66%28-1.000000x-1.000000x1.069954x1.069954x1.07x17.920%17.9%19.173%19.2%29-1.000000x-1.000000x1.063348x1.063348x1.06x9.653%9.65%10.265%10.3%30-1.000000x-1.000000x1.059381x1.059381x1.06x6.918%6.92%7.329%7.33%31-1.000000x-1.000000x1.056613x1.056613x1.06x5.903%5.90%6.237%6.24%32-1.000000x-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%33-1.000000x-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%34-1.000000x-1.000000x1.022109x1.022109x1.02x2.704%2.70%2.764%2.76%35-1.000000x-1.000000x1.018058x1.018058x1.02x8.641%8.64%8.797%8.80%36-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%37-1.000000x-1.000000x1.004509x1.004509x1.00x11.618%11.6%11.670%11.7%38-1.001253x-1.001253x1.00x1.000000x1.000000x5.867%5.87%5.859%5.86%39-1.016031x-1.016031x1.02x1.000000x1.000000x8.734%8.73%8.596%8.60%40-1.022158x-1.022158x1.02x1.000000x1.000000x3.997%4.00%3.910%3.91%41-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%42-1.030292x-1.030292x1.03x1.000000x1.000000x9.063%9.06%8.796%8.80%43-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%44-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%45-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%46-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%47-1.237978x-1.237978x1.24x1.000000x1.000000x6.794%6.79%5.488%5.49%48-1.368790x-1.368790x1.37x1.000000x1.000000x9.414%9.41%6.877%6.88%49-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%50
F percentage of females in category
M percentage of males in category
# rank of place out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by Place#38

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 Brown Deer, selected other places in Wisconsin, and entities that contain Brown Deer
Female
Male
0x2x4xFM#MenashaNeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardBrown DeerBrown DeerMequonJanesvilleSheboyganMarshfieldRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauWatertownAppletonFitchburgSun PrairieEau ClaireOshkoshFond du LacNew BerlinWest AllisWauwatosaWest BendEast North CentralMidwestMilwaukeeWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocMilwaukeeFranklinLa CrosseS MilwaukeeMiddletonMenomonee FallsMadisonMilwaukeeDe PereKenoshaGermantownWaukeshaOconomowocWisconsin RapidsGreenfieldOak CreekAshwaubenon-1.000000x-1.000000x5.714545x5.714545x5.71x0.398%0.40%2.276%2.28%1-1.000000x-1.000000x3.129204x3.129204x3.13x1.585%1.59%4.960%4.96%2-1.000000x-1.000000x2.927208x2.927208x2.93x1.353%1.35%3.961%3.96%3-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%4-1.000000x-1.000000x2.628013x2.628013x2.63x2.819%2.82%7.408%7.41%5-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%6-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%7-1.000000x-1.000000x2.492011x2.492011x2.49x0.802%0.80%1.999%2.00%8-1.000000x-1.000000x2.430005x2.430005x2.43x2.012%2.01%4.890%4.89%-1.000000x-1.000000x2.430005x2.430005x2.43x2.012%2.01%4.890%4.89%-1.000000x-1.000000x2.345235x2.345235x2.35x6.743%6.74%15.813%15.8%9-1.000000x-1.000000x2.320788x2.320788x2.32x0.952%0.95%2.209%2.21%10-1.000000x-1.000000x2.236989x2.236989x2.24x0.541%0.54%1.209%1.21%11-1.000000x-1.000000x2.221200x2.221200x2.22x3.886%3.89%8.632%8.63%12-1.000000x-1.000000x2.147202x2.147202x2.15x0.747%0.75%1.604%1.60%13-1.000000x-1.000000x2.134058x2.134058x2.13x1.646%1.65%3.514%3.51%14-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%15-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%16-1.000000x-1.000000x2.005610x2.005610x2.01x1.223%1.22%2.453%2.45%17-1.000000x-1.000000x1.994529x1.994529x1.99x3.154%3.15%6.290%6.29%18-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%19-1.000000x-1.000000x1.912414x1.912414x1.91x0.923%0.92%1.765%1.77%20-1.000000x-1.000000x1.842434x1.842434x1.84x1.857%1.86%3.421%3.42%21-1.000000x-1.000000x1.808864x1.808864x1.81x5.081%5.08%9.190%9.19%22-1.000000x-1.000000x1.806537x1.806537x1.81x2.381%2.38%4.302%4.30%23-1.000000x-1.000000x1.776721x1.776721x1.78x2.026%2.03%3.600%3.60%24-1.000000x-1.000000x1.747870x1.747870x1.75x1.115%1.12%1.949%1.95%25-1.000000x-1.000000x1.728996x1.728996x1.73x1.083%1.08%1.873%1.87%26-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%27-1.000000x-1.000000x1.693783x1.693783x1.69x0.936%0.94%1.585%1.59%28-1.000000x-1.000000x1.663311x1.663311x1.66x6.193%6.19%10.301%10.3%29-1.000000x-1.000000x1.632200x1.632200x1.63x0.991%0.99%1.617%1.62%30-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557391x1.557391x1.56x1.833%1.83%2.855%2.85%31-1.000000x-1.000000x1.550147x1.550147x1.55x1.851%1.85%2.870%2.87%32-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.516809x1.516809x1.52x1.222%1.22%1.853%1.85%33-1.000000x-1.000000x1.494707x1.494707x1.49x0.918%0.92%1.372%1.37%34-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%-1.000000x-1.000000x1.475485x1.475485x1.48x2.501%2.50%3.691%3.69%35-1.000000x-1.000000x1.473120x1.473120x1.47x3.888%3.89%5.727%5.73%36-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%37-1.000000x-1.000000x1.452651x1.452651x1.45x8.299%8.30%12.055%12.1%38-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%39-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%40-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%41-1.000000x-1.000000x1.363936x1.363936x1.36x2.638%2.64%3.598%3.60%42-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%43-1.000000x-1.000000x1.211592x1.211592x1.21x2.722%2.72%3.299%3.30%44-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%45-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%46-1.000000x-1.000000x1.014900x1.014900x1.01x1.677%1.68%1.702%1.70%47-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%48-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%49-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%50
F percentage of females in category
M percentage of males in category
# rank of place out of 50 by male-to-female sex ratio

Educational Attainment by Place in the Midwest

There are 9,721 places in the Midwest. This section compares Brown Deer to the 50 most populous places in the Midwest and to those entities that contain or substantially overlap with Brown Deer. The least populous of the compared places has a population of 95,520.

No H.S. Diploma by Place#39

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Brown Deer, selected other places in the Midwest, and entities that contain Brown Deer
0%5%10%15%20%Count#AuroraKansas CityClevelandDetroitElginDearbornMilwaukeeSouth BendDaytonChicagoFlintRockfordSt. LouisWarrenJolietGrand RapidsIndianapolisToledoCincinnatiAkronSt. PaulSterling HeightsSterling HtsMilwaukee CountyMilwaukeeUnited States of AmericaUnited StatesDes MoinesWichitaGreen BayEvansvilleOmahaFort WayneKenoshaIndependenceLansingColumbusPeoriaTopekaMinneapolisKansas CitySpringfieldEast North CentralMidwestMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeDavenportSioux FallsSpringfieldWisconsinLincolnOlatheRochesterBrown Deer School DistrictBrown DeerBrown DeerFargoCedar RapidsColumbiaMadisonOverland ParkNapervilleAnn Arbor23.424721%23.424721%23.4%28,12728.1k122.659362%22.659362%22.7%21,21821.2k221.582420%21.582420%21.6%54,98155.0k321.003600%21.003600%21.0%90,67890.7k420.908753%20.908753%20.9%14,62414.6k519.742370%19.742370%19.7%11,37211.4k617.485105%17.485105%17.5%63,80063.8k716.981967%16.981967%17.0%10,74510.7k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1016.821517%16.821517%16.8%10,50110.5k1116.593998%16.593998%16.6%16,17516.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1415.156779%15.156779%15.2%13,69913.7k1514.563179%14.563179%14.6%17,64317.6k1614.507103%14.507103%14.5%80,02880.0k1714.332972%14.332972%14.3%26,34326.3k1813.761583%13.761583%13.8%26,28626.3k1913.591726%13.591726%13.6%17,95118.0k2013.278342%13.278342%13.3%24,61324.6k2113.132171%13.132171%13.1%12,21212.2k2213.092854%13.092854%13.1%81,52281.5k13.020590%13.020590%13.0%27,818,38027.8M12.832375%12.832375%12.8%17,69717.7k2312.568464%12.568464%12.6%31,23131.2k2412.535944%12.535944%12.5%8,4142512.455825%12.455825%12.5%10,18610.2k2612.198899%12.198899%12.2%35,05035.1k2711.804005%11.804005%11.8%19,71819.7k2811.549265%11.549265%11.5%7,3602911.512997%11.512997%11.5%9,3903011.480129%11.480129%11.5%8,3343111.226988%11.226988%11.2%61,30861.3k3211.214599%11.214599%11.2%8,2723311.032803%11.032803%11.0%9,3773410.958428%10.958428%11.0%29,34729.3k3510.852627%10.852627%10.9%34,34934.3k3610.767091%10.767091%10.8%11,14911.1k3710.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M9.572772%9.572772%9.6%100,754101k8.840661%8.840661%8.8%5,980388.819364%8.819364%8.8%9,714398.670273%8.670273%8.7%6,892408.637220%8.637220%8.6%336,096336k7.092309%7.092309%7.1%11,88611.9k416.424130%6.424130%6.4%5,331426.300465%6.300465%6.3%4,713436.204545%6.204545%6.2%5466.204545%6.204545%6.2%5466.055621%6.055621%6.1%4,270445.981653%5.981653%6.0%5,099455.781884%5.781884%5.8%3,717464.836248%4.836248%4.8%7,351473.377424%3.377424%3.4%4,282483.251388%3.251388%3.3%3,075493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of place out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#40

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Brown Deer, selected other places in the Midwest, and entities that contain Brown Deer
0%20%40%60%Count#Ann ArborNapervilleOverland ParkMadisonColumbiaMinneapolisOlatheRochesterSt. PaulFargoLincolnBrown Deer School DistrictBrown DeerBrown DeerChicagoSpringfieldColumbusOmahaPeoriaMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeCincinnatiSioux FallsSt. LouisKansas CityGrand RapidsCedar RapidsAuroraUnited States of AmericaUnited StatesMilwaukee CountyMilwaukeeIndianapolisMidwestDearbornWichitaEast North CentralWisconsinSterling HeightsSterling HtsTopekaSpringfieldFort WayneDavenportLansingDes MoinesSouth BendElginGreen BayMilwaukeeKenoshaJolietRockfordAkronEvansvilleIndependenceToledoDaytonWarrenKansas CityClevelandDetroitFlint72.810169%72.810169%72.8%47,43047.4k165.974095%65.974095%66.0%62,39562.4k258.823344%58.823344%58.8%74,57874.6k356.337583%56.337583%56.3%85,63285.6k454.763794%54.763794%54.8%35,20635.2k547.670489%47.670489%47.7%127,663128k646.512581%46.512581%46.5%38,59838.6k743.718250%43.718250%43.7%32,70332.7k839.969357%39.969357%40.0%74,08874.1k938.241175%38.241175%38.2%26,96527.0k1037.146608%37.146608%37.1%62,25462.3k1137.045455%37.045455%37.0%3,26037.045455%37.045455%37.0%3,26036.546320%36.546320%36.5%669,666670k1236.222166%36.222166%36.2%28,79328.8k1334.813955%34.813955%34.8%190,111190k1434.651487%34.651487%34.7%99,56199.6k1533.910874%33.910874%33.9%25,01325.0k1633.810164%33.810164%33.8%355,854356k33.783048%33.783048%33.8%64,52964.5k1733.448940%33.448940%33.4%36,84236.8k1833.007421%33.007421%33.0%72,14372.1k1932.996107%32.996107%33.0%104,434104k2032.904381%32.904381%32.9%39,86339.9k2131.793440%31.793440%31.8%27,10227.1k2231.119143%31.119143%31.1%37,36637.4k2330.315023%30.315023%30.3%64,767,78764.8M29.748251%29.748251%29.7%185,226185k28.985384%28.985384%29.0%159,897160k2428.952816%28.952816%29.0%13,118,64213.1M28.929551%28.929551%28.9%16,66416.7k2528.877567%28.877567%28.9%71,75771.8k2628.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.532180%27.532180%27.5%25,60325.6k2727.007248%27.007248%27.0%22,95423.0k2826.964567%26.964567%27.0%27,92127.9k2926.787393%26.787393%26.8%44,74744.7k3026.697910%26.697910%26.7%18,05918.1k3125.441146%25.441146%25.4%18,46918.5k3225.166595%25.166595%25.2%34,70734.7k3324.410096%24.410096%24.4%15,44515.4k3424.265820%24.265820%24.3%16,97217.0k3524.139215%24.139215%24.1%16,20216.2k3623.517740%23.517740%23.5%85,81285.8k3722.927488%22.927488%22.9%14,61114.6k3822.412649%22.412649%22.4%20,25720.3k3921.564504%21.564504%21.6%21,02021.0k4020.213821%20.213821%20.2%26,69726.7k4119.599643%19.599643%19.6%16,02816.0k4218.113046%18.113046%18.1%14,77314.8k4318.048021%18.048021%18.0%33,17133.2k4417.635555%17.635555%17.6%15,51115.5k4517.280259%17.280259%17.3%15,89315.9k4616.167409%16.167409%16.2%15,13915.1k4716.073076%16.073076%16.1%40,94640.9k4813.833543%13.833543%13.8%59,72359.7k4911.202063%11.202063%11.2%6,99350
Count number of people in category
# rank of place out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#41

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Brown Deer, selected other places in the Midwest, and entities that contain Brown Deer
0%5%10%15%Count#Ann ArborColumbiaMadisonRochesterNapervilleMinneapolisOverland ParkSt. PaulSt. LouisCincinnatiLincolnChicagoFargoSpringfieldOmahaPeoriaKansas CityColumbusSouth BendUnited States of AmericaUnited StatesBrown Deer School DistrictBrown DeerBrown DeerSioux FallsMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeTopekaGrand RapidsIndianapolisMilwaukee CountyMilwaukeeDearbornSpringfieldCedar RapidsMidwestEast North CentralOlatheLansingWisconsinWichitaDes MoinesFort WayneAuroraAkronDavenportRockfordMilwaukeeClevelandGreen BayKenoshaToledoEvansvilleElginSterling HeightsSterling HtsKansas CityDetroitDaytonIndependenceJolietWarrenFlint17.877867%17.877867%17.9%11,64611.6k110.490457%10.490457%10.5%6,74429.171173%9.171173%9.2%13,94013.9k38.768248%8.768248%8.8%6,55947.148824%7.148824%7.1%6,76156.241155%6.241155%6.2%16,71416.7k65.940071%5.940071%5.9%7,53175.920847%5.920847%5.9%10,97511.0k84.880448%4.880448%4.9%10,66710.7k94.729595%4.729595%4.7%9,034104.568292%4.568292%4.6%7,656114.485379%4.485379%4.5%82,18982.2k124.336789%4.336789%4.3%3,058134.223173%4.223173%4.2%3,357144.059919%4.059919%4.1%11,66511.7k153.980423%3.980423%4.0%2,936163.435344%3.435344%3.4%10,87310.9k173.353556%3.353556%3.4%18,31318.3k183.336336%3.336336%3.3%2,111193.336158%3.336158%3.3%7,127,6737.13M3.329545%3.329545%3.3%2933.329545%3.329545%3.3%2933.298409%3.298409%3.3%3,633203.286157%3.286157%3.3%34,58734.6k3.233245%3.233245%3.2%2,748213.174629%3.174629%3.2%3,846223.103434%3.103434%3.1%17,12017.1k232.985811%2.985811%3.0%18,59118.6k2.946078%2.946078%2.9%1,697242.911721%2.911721%2.9%3,015252.905776%2.905776%2.9%2,477262.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.830666%2.830666%2.8%2,349272.704043%2.704043%2.7%1,963282.703886%2.703886%2.7%105,215105k2.519246%2.519246%2.5%6,260292.488598%2.488598%2.5%3,432302.379000%2.379000%2.4%3,974312.296917%2.296917%2.3%2,758322.163955%2.163955%2.2%2,858332.105201%2.105201%2.1%1,424342.068223%2.068223%2.1%2,016352.043126%2.043126%2.0%7,455361.927780%1.927780%1.9%4,911371.777440%1.777440%1.8%1,193381.762204%1.762204%1.8%1,123391.642065%1.642065%1.6%3,018401.608032%1.608032%1.6%1,315411.512682%1.512682%1.5%1,058421.439893%1.439893%1.4%1,339431.388310%1.388310%1.4%1,300441.318660%1.318660%1.3%5,693451.257490%1.257490%1.3%1,106461.230996%1.230996%1.2%1,004471.142927%1.142927%1.1%1,033481.047058%1.047058%1.0%963490.978759%0.978759%1.0%61150
Count number of people in category
# rank of place 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 Place#42

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 Brown Deer, selected other places in the Midwest, and entities that contain Brown Deer
Female
Male
1x0x1xFM#Green BayBrown DeerBrown DeerCedar RapidsLincolnDetroitOmahaToledoWisconsinFort WayneKansas CityMadisonJolietFargoKenoshaSioux FallsRockfordMidwestIndependenceTopekaEast North CentralMilwaukeeIndianapolisAuroraDaytonFlintMilwaukeeUnited StatesOlatheKansas CityMilwaukeeDavenportOverland ParkLansingEvansvilleDes MoinesGrand RapidsPeoriaChicagoWichitaColumbusElginSouth BendClevelandSpringfieldWarrenNapervilleSpringfieldSt. LouisCincinnatiAkronAnn ArborRochesterSt. PaulMinneapolisSterling HtsColumbiaDearborn-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%1-1.000000x-1.000000x1.321858x1.321858x1.32x5.408%5.41%7.148%7.15%-1.000000x-1.000000x1.321858x1.321858x1.32x5.408%5.41%7.148%7.15%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%2-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%3-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%4-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%5-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%6-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.191541x1.191541x1.19x10.828%10.8%12.902%12.9%7-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%8-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%9-1.000000x-1.000000x1.177685x1.177685x1.18x13.962%14.0%16.443%16.4%10-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%11-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%12-1.000000x-1.000000x1.146019x1.146019x1.15x8.230%8.23%9.431%9.43%13-1.000000x-1.000000x1.132138x1.132138x1.13x15.627%15.6%17.692%17.7%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127644x1.127644x1.13x10.866%10.9%12.253%12.3%15-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%16-1.000000x-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%17-1.000000x-1.000000x1.121475x1.121475x1.12x13.722%13.7%15.389%15.4%18-1.000000x-1.000000x1.115072x1.115072x1.12x22.176%22.2%24.728%24.7%19-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%20-1.000000x-1.000000x1.112012x1.112012x1.11x15.982%16.0%17.772%17.8%21-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%22-1.000000x-1.000000x1.107254x1.107254x1.11x10.323%10.3%11.430%11.4%23-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.096081x1.096081x1.10x8.447%8.45%9.259%9.26%24-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%25-1.000000x-1.000000x1.093835x1.093835x1.09x10.992%11.0%12.023%12.0%26-1.000000x-1.000000x1.093598x1.093598x1.09x11.930%11.9%13.047%13.0%27-1.000000x-1.000000x1.088975x1.088975x1.09x12.306%12.3%13.400%13.4%28-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%29-1.000000x-1.000000x1.077594x1.077594x1.08x10.821%10.8%11.661%11.7%30-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%31-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%32-1.000000x-1.000000x1.050970x1.050970x1.05x10.959%11.0%11.517%11.5%33-1.000000x-1.000000x1.050288x1.050288x1.05x20.396%20.4%21.422%21.4%34-1.000000x-1.000000x1.049072x1.049072x1.05x16.603%16.6%17.418%17.4%35-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%36-1.000000x-1.000000x1.043321x1.043321x1.04x8.500%8.50%8.869%8.87%37-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%38-1.000000x-1.000000x1.029433x1.029433x1.03x3.206%3.21%3.301%3.30%39-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%40-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%41-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%42-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%43-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%44-1.041504x-1.041504x1.04x1.000000x1.000000x6.423%6.42%6.167%6.17%45-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%46-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%47-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%48-1.369846x-1.369846x1.37x1.000000x1.000000x6.643%6.64%4.849%4.85%49-1.376263x-1.376263x1.38x1.000000x1.000000x22.724%22.7%16.511%16.5%50
F percentage of females in category
M percentage of males in category
# rank of place out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by Place#43

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 Brown Deer, selected other places in the Midwest, and entities that contain Brown Deer
Female
Male
1x0x1x2xFM#ElginBrown DeerBrown DeerRockfordFort WaynePeoriaGreen BayDaytonIndependenceSpringfieldDearbornSioux FallsAkronEvansvilleWichitaWarrenNapervilleSpringfieldOverland ParkGrand RapidsOlatheOmahaRochesterFargoDes MoinesEast North CentralLincolnMidwestMilwaukeeWisconsinKansas CityColumbiaUnited StatesAnn ArborIndianapolisMilwaukeeTopekaSterling HtsSouth BendKansas CityColumbusMadisonJolietAuroraMilwaukeeCedar RapidsLansingDavenportClevelandCincinnatiSt. PaulSt. LouisChicagoKenoshaToledoMinneapolisDetroitFlint-1.000000x-1.000000x2.494030x2.494030x2.49x0.866%0.87%2.160%2.16%1-1.000000x-1.000000x2.430005x2.430005x2.43x2.012%2.01%4.890%4.89%-1.000000x-1.000000x2.430005x2.430005x2.43x2.012%2.01%4.890%4.89%-1.000000x-1.000000x2.143320x2.143320x2.14x1.347%1.35%2.887%2.89%2-1.000000x-1.000000x2.081609x2.081609x2.08x1.577%1.58%3.282%3.28%3-1.000000x-1.000000x2.069962x2.069962x2.07x2.651%2.65%5.488%5.49%4-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%5-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%6-1.000000x-1.000000x1.918212x1.918212x1.92x0.862%0.86%1.653%1.65%7-1.000000x-1.000000x1.903242x1.903242x1.90x2.981%2.98%5.674%5.67%8-1.000000x-1.000000x1.882766x1.882766x1.88x2.069%2.07%3.896%3.90%9-1.000000x-1.000000x1.868919x1.868919x1.87x2.312%2.31%4.322%4.32%10-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%11-1.000000x-1.000000x1.831528x1.831528x1.83x1.156%1.16%2.116%2.12%12-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%13-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%14-1.000000x-1.000000x1.752623x1.752623x1.75x5.260%5.26%9.219%9.22%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%18-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%19-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%20-1.000000x-1.000000x1.656189x1.656189x1.66x6.670%6.67%11.046%11.0%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.599534x1.599534x1.60x1.931%1.93%3.089%3.09%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%25-1.000000x-1.000000x1.569233x1.569233x1.57x8.240%8.24%12.930%12.9%26-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%27-1.000000x-1.000000x1.501963x1.501963x1.50x2.510%2.51%3.770%3.77%28-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.464237x1.464237x1.46x2.744%2.74%4.018%4.02%31-1.000000x-1.000000x1.430657x1.430657x1.43x2.849%2.85%4.076%4.08%32-1.000000x-1.000000x1.429727x1.429727x1.43x2.780%2.78%3.974%3.97%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.377880x1.377880x1.38x0.967%0.97%1.332%1.33%35-1.000000x-1.000000x1.375514x1.375514x1.38x1.940%1.94%2.669%2.67%36-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%37-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%38-1.000000x-1.000000x1.314458x1.314458x1.31x2.354%2.35%3.094%3.09%39-1.000000x-1.000000x1.295510x1.295510x1.30x1.841%1.84%2.386%2.39%40-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%41-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%42-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%43-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%44-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%45-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%46-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%47-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%48-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%49-1.116231x-1.116231x1.12x1.000000x1.000000x1.029%1.03%0.922%0.92%50
F percentage of females in category
M percentage of males in category
# rank of place out of 50 by male-to-female sex ratio

Educational Attainment by Place in the United States

There are 29,322 places in the United States. This section compares Brown Deer to the 50 most populous places in the United States and to those entities that contain or substantially overlap with Brown Deer. The least populous of the compared places has a population of 383,899.

No H.S. Diploma by Place#44

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Brown Deer, selected other places in the United States, and entities that contain Brown Deer
0%5%10%15%20%25%Count#MiamiFresnoDallasLos AngelesHoustonClevelandEl PasoDetroitLong BeachOaklandNew YorkPhoenixFort WorthSan AntonioMilwaukeePhiladelphiaSan JoseChicagoBaltimoreLas VegasSacramentoMemphisTucsonArlingtonOklahoma CityIndianapolisBostonDenverMilwaukee CountyMilwaukeeTulsaUnited States of AmericaUnited StatesNashville-DavidsonWichitaSan FranciscoSan DiegoMesaOmahaAustinLouisvilleCharlotteJacksonvilleColumbusMinneapolisAlbuquerqueKansas CityEast North CentralAtlantaMidwestWashingtonMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeRaleighWisconsinPortlandVirginia BeachVirginia BchColorado SpringsColorado SpgsBrown Deer School DistrictBrown DeerBrown DeerSeattle25.837701%25.837701%25.8%82,57682.6k124.732204%24.732204%24.7%75,24675.2k224.656531%24.656531%24.7%201,900202k324.054764%24.054764%24.1%636,204636k422.636297%22.636297%22.6%326,041326k521.582420%21.582420%21.6%54,98155.0k621.390422%21.390422%21.4%88,91188.9k721.003600%21.003600%21.0%90,67890.7k820.544247%20.544247%20.5%62,70762.7k919.475074%19.475074%19.5%56,99457.0k1019.216077%19.216077%19.2%1,124,4811.12M1119.059912%19.059912%19.1%186,721187k1218.755272%18.755272%18.8%94,04494.0k1318.397606%18.397606%18.4%167,299167k1417.485105%17.485105%17.5%63,80063.8k1517.390838%17.390838%17.4%180,039180k1617.116159%17.116159%17.1%116,369116k1716.905373%16.905373%16.9%309,770310k1816.548703%16.548703%16.5%69,83969.8k1916.452623%16.452623%16.5%67,69367.7k2016.276659%16.276659%16.3%51,98052.0k2116.013390%16.013390%16.0%66,73166.7k2215.587550%15.587550%15.6%51,09151.1k2315.406412%15.406412%15.4%37,08237.1k2414.746136%14.746136%14.7%59,32459.3k2514.507103%14.507103%14.5%80,02880.0k2614.325556%14.325556%14.3%63,64263.6k2713.638703%13.638703%13.6%63,86563.9k2813.092854%13.092854%13.1%81,52281.5k13.030453%13.030453%13.0%33,97034.0k2913.020590%13.020590%13.0%27,818,38027.8M12.757874%12.757874%12.8%55,74455.7k3012.568464%12.568464%12.6%31,23131.2k3112.559735%12.559735%12.6%84,02484.0k3212.495849%12.495849%12.5%115,528116k3312.217042%12.217042%12.2%37,94137.9k3412.198899%12.198899%12.2%35,05035.1k3512.000833%12.000833%12.0%73,14773.1k3611.956157%11.956157%12.0%49,49049.5k3711.553484%11.553484%11.6%61,37861.4k3811.488796%11.488796%11.5%65,89165.9k3911.226988%11.226988%11.2%61,30861.3k4010.958428%10.958428%11.0%29,34729.3k4110.937441%10.937441%10.9%40,85940.9k4210.852627%10.852627%10.9%34,34934.3k4310.719464%10.719464%10.7%3,363,7843.36M10.536277%10.536277%10.5%32,40032.4k4410.244520%10.244520%10.2%4,641,8354.64M10.045421%10.045421%10.0%46,51046.5k459.572772%9.572772%9.6%100,754101k8.738650%8.738650%8.7%25,06025.1k468.637220%8.637220%8.6%336,096336k8.420098%8.420098%8.4%38,17938.2k476.790677%6.790677%6.8%20,44720.4k486.610646%6.610646%6.6%19,21119.2k496.204545%6.204545%6.2%5466.204545%6.204545%6.2%5466.099576%6.099576%6.1%30,04230.0k50
Count number of people in category
# rank of place out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#45

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Brown Deer, selected other places in the United States, and entities that contain Brown Deer
0%20%40%60%Count#SeattleWashingtonSan FranciscoRaleighAtlantaAustinMinneapolisPortlandBostonDenverSan DiegoCharlotteSan JoseOaklandColorado SpringsColorado SpgsNashville-DavidsonBrown Deer School DistrictBrown DeerBrown DeerChicagoNew YorkColumbusOmahaVirginia BeachVirginia BchMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeAlbuquerqueKansas CityLos AngelesHoustonDallasTulsaSacramentoUnited States of AmericaUnited StatesMilwaukee CountyMilwaukeeBaltimoreLong BeachOklahoma CityArlingtonIndianapolisMidwestWichitaEast North CentralWisconsinLouisvilleFort WorthPhoenixJacksonvillePhiladelphiaTucsonMesaSan AntonioMemphisMiamiEl PasoMilwaukeeLas VegasFresnoClevelandDetroit60.416303%60.416303%60.4%297,566298k155.360186%55.360186%55.4%256,316256k254.793235%54.793235%54.8%366,564367k349.199364%49.199364%49.2%141,090141k448.281839%48.281839%48.3%148,471148k547.708346%47.708346%47.7%290,790291k647.670489%47.670489%47.7%127,663128k746.950667%46.950667%47.0%212,887213k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1043.550297%43.550297%43.6%402,636403k1141.989192%41.989192%42.0%223,068223k1240.175296%40.175296%40.2%273,143273k1339.721375%39.721375%39.7%116,245116k1437.845613%37.845613%37.8%109,982110k1537.627764%37.627764%37.6%164,410164k1637.045455%37.045455%37.0%3,26037.045455%37.045455%37.0%3,26036.546320%36.546320%36.5%669,666670k1736.220225%36.220225%36.2%2,119,5252.12M1834.813955%34.813955%34.8%190,111190k1934.651487%34.651487%34.7%99,56199.6k2034.242322%34.242322%34.2%103,105103k2133.810164%33.810164%33.8%355,854356k33.751907%33.751907%33.8%126,087126k2232.996107%32.996107%33.0%104,434104k2332.470816%32.470816%32.5%858,793859k2431.153001%31.153001%31.2%448,711449k2531.010808%31.010808%31.0%253,932254k2630.736449%30.736449%30.7%80,12980.1k2730.677965%30.677965%30.7%97,97198.0k2830.315023%30.315023%30.3%64,767,78764.8M29.748251%29.748251%29.7%185,226185k29.719611%29.719611%29.7%125,423125k2929.497525%29.497525%29.5%90,03590.0k3029.343627%29.343627%29.3%118,050118k3129.302594%29.302594%29.3%70,52970.5k3228.985384%28.985384%29.0%159,897160k3328.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3428.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.252913%28.252913%28.3%116,947117k3527.594445%27.594445%27.6%138,366138k3627.352542%27.352542%27.4%267,960268k3727.049958%27.049958%27.0%155,138155k3826.349720%26.349720%26.3%272,786273k3925.763345%25.763345%25.8%84,44484.4k4025.634825%25.634825%25.6%79,61179.6k4125.248199%25.248199%25.2%229,595230k4225.090708%25.090708%25.1%104,558105k4324.957211%24.957211%25.0%79,76279.8k4423.604502%23.604502%23.6%98,11498.1k4523.517740%23.517740%23.5%85,81285.8k4622.410206%22.410206%22.4%92,20592.2k4720.457660%20.457660%20.5%62,24162.2k4816.073076%16.073076%16.1%40,94640.9k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of place out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#46

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Brown Deer, selected other places in the United States, and entities that contain Brown Deer
0%5%10%Count#WashingtonSeattleSan FranciscoBostonAtlantaSan DiegoMinneapolisOaklandPortlandDenverAustinBaltimoreRaleighAlbuquerqueNashville-DavidsonNew YorkChicagoMiamiOmahaHoustonLos AngelesSacramentoDallasPhiladelphiaSan JoseCharlotteKansas CityTulsaColumbusMemphisUnited States of AmericaUnited StatesBrown Deer School DistrictBrown DeerBrown DeerColorado SpringsColorado SpgsMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeLouisvilleLong BeachIndianapolisOklahoma CityTucsonMilwaukee CountyMilwaukeeVirginia BeachVirginia BchPhoenixMidwestEast North CentralWisconsinSan AntonioWichitaLas VegasFresnoArlingtonJacksonvilleFort WorthMesaMilwaukeeClevelandEl PasoDetroit12.461852%12.461852%12.5%57,69857.7k18.674060%8.674060%8.7%42,72242.7k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k47.298648%7.298648%7.3%22,44422.4k56.404220%6.404220%6.4%59,20959.2k66.241155%6.241155%6.2%16,71416.7k76.054994%6.054994%6.1%17,72017.7k85.991262%5.991262%6.0%27,16627.2k95.725842%5.725842%5.7%26,81226.8k105.293216%5.293216%5.3%32,26332.3k114.934352%4.934352%4.9%20,82420.8k124.783940%4.783940%4.8%13,71913.7k134.747169%4.747169%4.7%17,73417.7k144.499036%4.499036%4.5%19,65819.7k154.490298%4.490298%4.5%262,762263k164.485379%4.485379%4.5%82,18982.2k174.063580%4.063580%4.1%12,98713.0k184.059919%4.059919%4.1%11,66511.7k194.001816%4.001816%4.0%57,64057.6k203.968028%3.968028%4.0%104,947105k213.936083%3.936083%3.9%12,57012.6k223.855041%3.855041%3.9%31,56731.6k233.720350%3.720350%3.7%38,51538.5k243.718608%3.718608%3.7%25,28225.3k253.490252%3.490252%3.5%18,54218.5k263.435344%3.435344%3.4%10,87310.9k273.421980%3.421980%3.4%8,921283.353556%3.353556%3.4%18,31318.3k293.351171%3.351171%3.4%13,96514.0k303.336158%3.336158%3.3%7,127,6737.13M3.329545%3.329545%3.3%2933.329545%3.329545%3.3%2933.304119%3.304119%3.3%9,602313.286157%3.286157%3.3%34,58734.6k3.276890%3.276890%3.3%13,56413.6k323.202514%3.202514%3.2%9,775333.103434%3.103434%3.1%17,12017.1k343.057653%3.057653%3.1%12,30112.3k353.025921%3.025921%3.0%9,918362.985811%2.985811%3.0%18,59118.6k2.952136%2.952136%3.0%8,889372.945022%2.945022%2.9%28,85128.9k382.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.604272%2.604272%2.6%23,68223.7k392.519246%2.519246%2.5%6,260402.506307%2.506307%2.5%10,31210.3k412.504906%2.504906%2.5%7,621422.314576%2.314576%2.3%5,571432.288483%2.288483%2.3%13,12513.1k442.234224%2.234224%2.2%11,20311.2k452.055977%2.055977%2.1%6,385462.043126%2.043126%2.0%7,455471.927780%1.927780%1.9%4,911481.889534%1.889534%1.9%7,854491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of place 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 Place#47

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 Brown Deer, selected other places in the United States, and entities that contain Brown Deer
Female
Male
1x0x1xFM#Brown DeerBrown DeerCharlotteMemphisDetroitOmahaWisconsinTulsaBaltimoreRaleighNashville-DavidsonOklahoma CityJacksonvilleMidwestEast North CentralDallasMilwaukeeIndianapolisFresnoArlingtonMilwaukeeUnited StatesKansas CityMesaMilwaukeeHoustonPhiladelphiaAtlantaFort WorthChicagoWashingtonPhoenixWichitaColumbusDenverColorado SpgsAustinClevelandOaklandPortlandAlbuquerqueLouisvilleLas VegasSan AntonioLos AngelesNew YorkSacramentoTucsonBostonMiamiVirginia BchLong BeachSeattleMinneapolisSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.321858x1.321858x1.32x5.408%5.41%7.148%7.15%-1.000000x-1.000000x1.321858x1.321858x1.32x5.408%5.41%7.148%7.15%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.248135x1.248135x1.25x14.368%14.4%17.933%17.9%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.199749x1.199749x1.20x11.899%11.9%14.276%14.3%5-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%6-1.000000x-1.000000x1.169980x1.169980x1.17x8.091%8.09%9.466%9.47%7-1.000000x-1.000000x1.167676x1.167676x1.17x11.816%11.8%13.798%13.8%8-1.000000x-1.000000x1.154612x1.154612x1.15x13.719%13.7%15.840%15.8%9-1.000000x-1.000000x1.131088x1.131088x1.13x10.820%10.8%12.238%12.2%10-1.000000x-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-1.000000x1.124677x1.124677x1.12x23.229%23.2%26.125%26.1%11-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%12-1.000000x-1.000000x1.121475x1.121475x1.12x13.722%13.7%15.389%15.4%13-1.000000x-1.000000x1.120269x1.120269x1.12x23.378%23.4%26.190%26.2%14-1.000000x-1.000000x1.111038x1.111038x1.11x14.627%14.6%16.251%16.3%15-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107254x1.107254x1.11x10.323%10.3%11.430%11.4%16-1.000000x-1.000000x1.105053x1.105053x1.11x11.622%11.6%12.843%12.8%17-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.097123x1.097123x1.10x21.595%21.6%23.693%23.7%18-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%19-1.000000x-1.000000x1.074487x1.074487x1.07x10.167%10.2%10.924%10.9%20-1.000000x-1.000000x1.069330x1.069330x1.07x18.151%18.2%19.410%19.4%21-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%22-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%23-1.000000x-1.000000x1.059952x1.059952x1.06x18.515%18.5%19.625%19.6%24-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%25-1.000000x-1.000000x1.050970x1.050970x1.05x10.959%11.0%11.517%11.5%26-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%27-1.000000x-1.000000x1.048749x1.048749x1.05x6.458%6.46%6.773%6.77%28-1.000000x-1.000000x1.047773x1.047773x1.05x11.718%11.7%12.278%12.3%29-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%30-1.000000x-1.000000x1.042411x1.042411x1.04x19.085%19.1%19.895%19.9%31-1.000000x-1.000000x1.041833x1.041833x1.04x8.250%8.25%8.595%8.60%32-1.000000x-1.000000x1.036592x1.036592x1.04x10.750%10.7%11.143%11.1%33-1.000000x-1.000000x1.031168x1.031168x1.03x11.783%11.8%12.150%12.1%34-1.000000x-1.000000x1.023411x1.023411x1.02x16.265%16.3%16.645%16.6%35-1.000000x-1.000000x1.008755x1.008755x1.01x18.321%18.3%18.481%18.5%36-1.003003x-1.003003x1.00x1.000000x1.000000x24.090%24.1%24.018%24.0%37-1.008034x-1.008034x1.01x1.000000x1.000000x19.287%19.3%19.134%19.1%38-1.013246x-1.013246x1.01x1.000000x1.000000x16.379%16.4%16.165%16.2%39-1.018801x-1.018801x1.02x1.000000x1.000000x15.729%15.7%15.439%15.4%40-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%41-1.026397x-1.026397x1.03x1.000000x1.000000x26.169%26.2%25.496%25.5%42-1.030721x-1.030721x1.03x1.000000x1.000000x6.889%6.89%6.684%6.68%43-1.053107x-1.053107x1.05x1.000000x1.000000x21.061%21.1%19.999%20.0%44-1.067235x-1.067235x1.07x1.000000x1.000000x6.299%6.30%5.902%5.90%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.121139x-1.121139x1.12x1.000000x1.000000x18.091%18.1%16.136%16.1%47-1.220587x-1.220587x1.22x1.000000x1.000000x13.727%13.7%11.246%11.2%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.271847x-1.271847x1.27x1.000000x1.000000x23.770%23.8%18.690%18.7%50
F percentage of females in category
M percentage of males in category
# rank of place out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by Place#48

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 Brown Deer, selected other places in the United States, and entities that contain Brown Deer
Female
Male
1x0x1x2xFM#Brown DeerBrown DeerEl PasoWichitaTulsaAlbuquerqueOmahaLas VegasVirginia BchSan AntonioMesaCharlotteEast North CentralMidwestMilwaukeeWisconsinMemphisArlingtonDallasUnited StatesColorado SpgsFresnoLouisvilleIndianapolisFort WorthOklahoma CityMilwaukeeJacksonvilleSan DiegoKansas CityColumbusSan JoseHoustonPhoenixAustinLos AngelesMilwaukeeTucsonPhiladelphiaAtlantaRaleighBaltimoreWashingtonClevelandNew YorkSacramentoNashville-DavidsonChicagoLong BeachMiamiBostonSeattlePortlandDenverMinneapolisSan FranciscoOaklandDetroit-1.000000x-1.000000x2.430005x2.430005x2.43x2.012%2.01%4.890%4.89%-1.000000x-1.000000x2.430005x2.430005x2.43x2.012%2.01%4.890%4.89%-1.000000x-1.000000x2.009188x2.009188x2.01x1.283%1.28%2.578%2.58%1-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%2-1.000000x-1.000000x1.751336x1.751336x1.75x2.521%2.52%4.415%4.41%3-1.000000x-1.000000x1.677412x1.677412x1.68x3.587%3.59%6.017%6.02%4-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%5-1.000000x-1.000000x1.638326x1.638326x1.64x1.906%1.91%3.123%3.12%6-1.000000x-1.000000x1.631304x1.631304x1.63x2.267%2.27%3.699%3.70%7-1.000000x-1.000000x1.619938x1.619938x1.62x2.008%2.01%3.253%3.25%8-1.000000x-1.000000x1.613595x1.613595x1.61x1.583%1.58%2.554%2.55%9-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%10-1.000000x-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-1.000000x1.574064x1.574064x1.57x2.649%2.65%4.170%4.17%11-1.000000x-1.000000x1.561718x1.561718x1.56x1.823%1.82%2.847%2.85%12-1.000000x-1.000000x1.557924x1.557924x1.56x3.024%3.02%4.710%4.71%13-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.526028x1.526028x1.53x2.632%2.63%4.016%4.02%14-1.000000x-1.000000x1.515908x1.515908x1.52x2.006%2.01%3.041%3.04%15-1.000000x-1.000000x1.506848x1.506848x1.51x2.644%2.64%3.984%3.98%16-1.000000x-1.000000x1.501963x1.501963x1.50x2.510%2.51%3.770%3.77%17-1.000000x-1.000000x1.500806x1.500806x1.50x1.801%1.80%2.703%2.70%18-1.000000x-1.000000x1.494864x1.494864x1.49x2.467%2.47%3.687%3.69%19-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%-1.000000x-1.000000x1.486330x1.486330x1.49x1.862%1.86%2.767%2.77%20-1.000000x-1.000000x1.485007x1.485007x1.49x5.162%5.16%7.665%7.67%21-1.000000x-1.000000x1.430657x1.430657x1.43x2.849%2.85%4.076%4.08%22-1.000000x-1.000000x1.429727x1.429727x1.43x2.780%2.78%3.974%3.97%23-1.000000x-1.000000x1.424167x1.424167x1.42x3.070%3.07%4.372%4.37%24-1.000000x-1.000000x1.395850x1.395850x1.40x3.345%3.34%4.669%4.67%25-1.000000x-1.000000x1.395510x1.395510x1.40x2.466%2.47%3.441%3.44%26-1.000000x-1.000000x1.383707x1.383707x1.38x4.434%4.43%6.135%6.14%27-1.000000x-1.000000x1.368832x1.368832x1.37x3.360%3.36%4.600%4.60%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.345869x1.345869x1.35x2.589%2.59%3.485%3.48%30-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%31-1.000000x-1.000000x1.322471x1.322471x1.32x6.307%6.31%8.340%8.34%32-1.000000x-1.000000x1.305865x1.305865x1.31x4.182%4.18%5.461%5.46%33-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%34-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%35-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%36-1.000000x-1.000000x1.263461x1.263461x1.26x4.001%4.00%5.055%5.05%37-1.000000x-1.000000x1.260098x1.260098x1.26x3.501%3.50%4.411%4.41%38-1.000000x-1.000000x1.254152x1.254152x1.25x4.014%4.01%5.034%5.03%39-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%40-1.000000x-1.000000x1.235137x1.235137x1.24x2.874%2.87%3.550%3.55%41-1.000000x-1.000000x1.230791x1.230791x1.23x3.649%3.65%4.491%4.49%42-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%43-1.000000x-1.000000x1.219125x1.219125x1.22x7.816%7.82%9.528%9.53%44-1.000000x-1.000000x1.215131x1.215131x1.22x5.418%5.42%6.583%6.58%45-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%46-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%47-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%48-1.000000x-1.000000x1.089990x1.089990x1.09x5.803%5.80%6.326%6.33%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of place out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Wisconsin
County:
Milwaukee
Metro Area:
Milwaukee Area
ZIP Codes:
53209, 53223
Unified School District:
Brown Deer
Neighborhood:
Brown Deer Park
Congressional District:
WI-4
State Senate District:
WI-8
Assembly District:
WI-24
Neighboring Cities:
Mequon, Milwaukee
Neighboring Villages:
River Hills
Nearby Cities:
Cedarburg, Glendale, Wauwatosa
Nearby Villages:
Bayside, Butler, Fox Point, Menomonee Falls, Shorewood, Thiensville, Whitefish Bay