Educational Attainment in Green Bay, Brown County, Wisconsin (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Brown County and Green Bay
Green Bay
Brown County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma235.015420%40.567299%35.015420%35.0%23,50223.5k52.448636%50.830747%52.448636%52.4%35,20335.2k12.535944%8.601954%12.535944%12.5%8,414
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 Brown County at large.
Scope: population of Brown County and Green Bay
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-13.685601%-13.685601%-13.7%35.015%35.0%40.567%40.6%3.182895%3.182895%+3.2%52.449%52.4%50.831%50.8%45.733671%45.733671%+45.7%12.536%12.5%8.602%8.60%
% percentage with given level in Green Bay
ref. percentage with given level in Brown County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Brown County and Green Bay
Green Bay
Brown County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.545300%0.615477%0.545300%0.5%3661.232140%1.456531%1.232140%1.2%8274.672298%5.844970%4.672298%4.7%3,13617.689477%20.326645%17.689477%17.7%11,87311.9k10.876205%12.323676%10.876205%10.9%7,30019.752976%19.558623%19.752976%19.8%13,25813.3k32.695660%31.272123%32.695660%32.7%21,94521.9k7.330264%5.251874%7.330264%7.3%4,9203.435689%2.308775%3.435689%3.4%2,3061.769991%1.041305%1.769991%1.8%1,188
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 Brown County at large.
Scope: population of Brown County and Green Bay
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-11.402034%-11.402034%-11.4%0.545%0.55%0.615%0.62%-15.405846%-15.405846%-15.4%1.232%1.23%1.457%1.46%-20.062924%-20.062924%-20.1%4.672%4.67%5.845%5.84%-12.973945%-12.973945%-13.0%17.689%17.7%20.327%20.3%-11.745450%-11.745450%-11.7%10.876%10.9%12.324%12.3%0.993693%0.993693%+1.0%19.753%19.8%19.559%19.6%4.552095%4.552095%+4.6%32.696%32.7%31.272%31.3%39.574247%39.574247%+39.6%7.330%7.33%5.252%5.25%48.810026%48.810026%+48.8%3.436%3.44%2.309%2.31%69.978165%69.978165%+70.0%1.770%1.77%1.041%1.04%
% percentage with given level in Green Bay
ref. percentage with given level in Brown County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Brown County and Green Bay
More Females More Males
Brown County
Green Bay
0%10%20%30%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-9.789622%-2.688512%-9.789622%10%36.626%36.6%33.361%33.4%-1.912798%-1.483048%-1.912798%2%52.939%52.9%51.945%51.9%40.819663%23.668046%40.819663%41%10.435%10.4%14.694%14.7%
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 Brown County and Green Bay
More Females More Males
Brown County
Green Bay
0%50%100%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None54.794769%66.089404%54.794769%55%0.429%0.43%0.664%0.66%126.557798%76.502209%126.557798%127%0.759%0.76%1.719%1.72%-15.389411%-25.492063%-15.389411%15%5.001%5.00%4.334%4.33%-21.097077%-8.454394%-21.097077%21%19.353%19.4%15.981%16.0%-3.963332%-3.963332%4%6.471560%11.085%11.1%10.662%10.7%-10.682054%-4.717945%-10.682054%11%20.740%20.7%18.739%18.7%3.130805%0.490161%3.130805%3%32.198%32.2%33.206%33.2%46.862188%25.407916%46.862188%47%5.954%5.95%8.744%8.74%9.920202%6.412666%9.920202%10%3.275%3.28%3.600%3.60%94.931576%61.843277%94.931576%95%1.205%1.21%2.350%2.35%
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 Brown County and Green Bay
Green Bay
Brown County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3411.943320%12.290853%11.943320%11.9%1,53412,84412.8k16.814950%19.386034%16.814950%16.8%4,32825,73925.7k22.383985%24.855921%22.383985%22.4%2,70612,08912.1k20.094850%25.663013%20.094850%20.1%3,30516,44716.4k
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 Brown County at large.
Scope: population of Brown County and Green Bay
20%15%10%5%0%%ref.65+45-6435-4425-34-2.827573%-2.827573%2.8%11.943%11.9%12.291%12.3%-13.262557%-13.262557%13.3%16.815%16.8%19.386%19.4%-9.945058%-9.945058%9.9%22.384%22.4%24.856%24.9%-21.697230%-21.697230%21.7%20.095%20.1%25.663%25.7%
% percentage in Green Bay with a Bachelor's degree
ref percentage in Brown County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Brown County and Green Bay
More Females More Males
Brown County
Green Bay
30%20%10%0%10%FM65+45-6435-4425-34-8.539031%-8.539031%8.5%17.211180%12.355%12.4%11.383%11.4%-35.105150%-11.318408%-35.105150%35.1%19.385%19.4%14.348%14.3%-18.723102%-1.389225%-18.723102%18.7%24.377%24.4%20.533%20.5%-21.583035%-35.058172%-21.583035%21.6%22.065%22.1%18.148%18.1%
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 Brown County and Green Bay
Green Bay
Brown County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$60,207.000000$61,103.000000$60,207.000000$60.2k4,3296.450%6.45%$42,038.000000$48,411.000000$42,038.000000$42.0k11,87311.9k17.689%17.7%$30,443.000000$35,251.000000$30,443.000000$30.4k20,55820.6k30.629%30.6%$26,314.000000$30,328.000000$26,314.000000$26.3k21,94521.9k32.696%32.7%$23,708.000000$24,793.000000$23,708.000000$23.7k8,41412.536%12.5%$30,895.000000$36,932.000000$30,895.000000$30.9k67,11967.1k100.000%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 Brown County and Green Bay
Female Male
Brown County
Green Bay
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-53,255.000000$-53,960.000000$-53,255.000000$53.3k$53,255.000000$22,732.000000$53,960.000000$20,305.000000$75,987.000000$76.0k2,1052,224$-37,226.000000$-40,560.000000$-37,226.000000$37.2k$37,226.000000$13,173.000000$40,560.000000$20,780.000000$50,399.000000$50.4k6,5825,291$-26,241.000000$-29,002.000000$-26,241.000000$26.2k$26,241.000000$9,184.000000$29,002.000000$13,952.000000$35,425.000000$35.4k10,82410.8k9,734$-21,577.000000$-23,721.000000$-21,577.000000$21.6k$21,577.000000$9,756.000000$23,721.000000$12,614.000000$31,333.000000$31.3k10,95111.0k10,99411.0k$-17,699.000000$-18,048.000000$-17,699.000000$17.7k$17,699.000000$8,911.000000$18,048.000000$9,205.000000$26,610.000000$26.6k3,5494,865$-26,326.000000$-30,906.000000$-26,326.000000$26.3k$26,326.000000$8,958.000000$30,906.000000$12,327.000000$35,284.000000$35.3k34,01134.0k33,10833.1k
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 Brown County and Green Bay
Green Bay
Brown County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%40.000000%0100.000000%60.000000%100.000000%100.0%100.000000%0.000000%0.000000%0.0%00.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Brown County and Green Bay
Green Bay
Brown County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.780556%87.434313%86.780556%86.8%11,83611.8k77.901924%81.330412%77.901924%77.9%13,80513.8k68.708193%73.234681%68.708193%68.7%11,19611.2k60.181269%55.352798%60.181269%60.2%3,984
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 Brown County and Green Bay
Female Male
Brown County
Green Bay
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackAsianHispanic2Other1-6.593566%-5.354217%-6.593566%6.6%6.593566%2.209925%5.354217%1.180940%8.803491%8.8%2,3001,816-9.363296%-6.021320%-11.305071%-15.384615%15.4%9.363296%11.305071%2.215210%9.363296%9.4%100136-25.462963%-17.422313%-3.871360%-25.462963%25.5%25.462963%1.372701%17.422313%26.835664%26.8%307275-39.777195%-37.393703%-39.777195%39.8%39.777195%13.472805%37.393703%7.009282%53.250000%53.3%1,9171,214-26.445744%-27.580546%-26.445744%26.4%26.445744%12.791313%27.580546%1.326983%39.237057%39.2%1,152814
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 Brown County and Green Bay
Female Male
Brown County
Green Bay
Shaded bar tips show excess over facing bar.
20%0%20%MFWhite1BlackAsianHispanic2Other1-26.326265%-2.230122%-29.100286%-1.435135%-28.556387%28.6%26.326265%29.100286%26.326265%26.3%6,8787,865-4.298643%-12.551953%-4.298643%4.3%4.298643%6.188249%12.551953%3.772533%10.486891%10.5%11238-20.462963%-32.813975%-20.462963%20.5%20.462963%0.166408%32.813975%1.877823%20.629371%20.6%236221-4.361111%-3.895770%-7.875098%-2.927016%-8.256881%8.3%4.361111%7.875098%4.361111%4.4%157252-7.322888%-4.113109%-11.783961%-3.093938%-11.435997%11.4%7.322888%11.783961%7.322888%7.3%215352
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Neighborhood in Green Bay

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

Percentage of the population 25 years and older with given highest level of educational attainment
15%22%29%36%44%51%

Coarse: High School Diploma Educational Attainment by Neighborhood#17

Percentage of the population 25 years and older with given highest level of educational attainment
41.1%45.5%49.8%54.1%58.4%62.7%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3%9%14%19%24%30%

Detailed: Doctorate Degree Educational Attainment by Neighborhood#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.5%1.1%1.6%2.2%2.8%

Detailed: Professional Degree Educational Attainment by Neighborhood#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.3%2.6%3.9%5.2%6.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.3%2.4%4.3%6.3%8.3%10.3%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.1%10.9%14.7%18.5%22.3%26.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.8%5.5%8.2%10.9%13.6%16.3%

Detailed: Some College Educational Attainment by Neighborhood#24

Percentage of the population 25 years and older with given highest level of educational attainment
12.2%14.8%17.5%20.1%22.7%25.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
19%25%30%35%41%46%

Detailed: Some High School Educational Attainment by Neighborhood#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.7%3.6%6.5%9.4%12.3%15.3%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.6%5.2%7.7%10.3%12.9%

Detailed: None Educational Attainment by Neighborhood#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.1%2.1%3.0%4.0%5.1%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Green Bay

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

Percentage of the population 25 years and older with given highest level of educational attainment
15%24%32%41%49%58%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
39.4%44.1%48.8%53.4%58.0%62.7%

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
3%9%15%21%26%33%

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%0.5%1.1%1.6%2.2%2.8%

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%1.3%2.6%3.9%5.2%6.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.3%2.4%4.3%6.3%8.3%10.3%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.1%11.7%16.2%20.8%25.3%29.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.8%5.5%8.2%10.9%13.6%16.3%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
12.2%15.0%17.8%20.5%23.3%26.1%

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
19%25%30%35%41%46%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0.7%4.5%8.3%12.1%16.0%19.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.7%5.4%8.0%10.7%13.4%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.1%2.1%3.0%4.0%5.1%
Road Data ©OpenStreetMap

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Educational Attainment by Neighborhood in Green Bay

There are 33 neighborhoods that are fully or partially contained within Green Bay (30 fully and 3 partially). This section compares all 33 of those to each other, Green Bay, and other entities that contain or substantially overlap with Green Bay.

No H.S. Diploma by Neighborhood#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Green Bay, selected neighborhoods in Green Bay, and entities that contain Green Bay
0%10%20%Count#Olde North NeighborhoodOlde NorthThree Corners NeighborhoodThree CornersUnified South Broadway NeighborhoodUnified S BroadwayNavarino NeighborhoodNavarinoNorthwest Railway Gardens NeighborhoodNW Railway GdnsJoannes Park NeighborhoodJoannes ParkFort Howard NeighborhoodFort HowardTank Park NeighborhoodTank ParkMaple Arches NeighborhoodMaple ArchesOlde Norwood NeighborhoodOlde NorwoodSeymour Park NeighborhoodSeymour ParkImperial Pride NeighborhoodImperial PrideStarlite NeighborhoodStarliteOak Grove NeighborhoodOak GroveWilder Park NeighborhoodWilder ParkAstor NeighborhoodAstorAstor East River NeighborhoodAstor E RivUnited States of AmericaUnited StatesGreen BayGreen BayDowntown NeighborhoodDowntownPerkins Park Area NeighborhoodPerkins Pk AreaMarquette Park NeighborhoodMarquette PkFiremans Park NeighborhoodFiremans ParkJohn Muir Park NeighborhoodJohn Muir PkEast North CentralMidwestMather Heights NeighborhoodMather HtsFisk Addition NeighborhoodFisk AdditionGreen Bay Metro AreaGreen BayWisconsinBrown CountyBrownSchmitt Park NeighborhoodSchmitt ParkBaird Creek NeighborhoodBaird CreekNicollet Drive NeighborhoodNicollet DrRed Smith NeighborhoodRed SmithEast Shore Drive NeighborhoodE Shr DrLombardi NeighborhoodLombardiColburn NeighborhoodColburnMcAuliffe Park NeighborhoodMcAuliffe PkMacArthur Heights NeighborhoodMacArthur Hts29.437737%29.437737%29.4%808128.156222%28.156222%28.2%239240222.095238%22.095238%22.1%59321.621858%21.621858%21.6%408409419.635258%19.635258%19.6%41519.260646%19.260646%19.3%241618.943258%18.943258%18.9%346347718.219634%18.219634%18.2%8990816.060150%16.060150%16.1%81915.471814%15.471814%15.5%2832841015.259441%15.259441%15.3%1471481113.796879%13.796879%13.8%1451461213.711259%13.711259%13.7%2911313.692932%13.692932%13.7%1791801413.459828%13.459828%13.5%4444451513.356253%13.356253%13.4%1681613.340892%13.340892%13.3%1671681713.020590%13.020590%13.0%27,818,38027.8M12.535944%12.535944%12.5%8,41412.535944%12.535944%12.5%8,41412.093496%12.093496%12.1%1091101811.265150%11.265150%11.3%1731911.009107%11.009107%11.0%1482010.921053%10.921053%10.9%1102210.921053%10.921053%10.9%1372110.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M9.621890%9.621890%9.6%161239.192226%9.192226%9.2%113248.685969%8.685969%8.7%18,36918.4k8.637220%8.637220%8.6%336,096336k8.601954%8.601954%8.6%14,60514.6k8.107383%8.107383%8.1%132258.107383%8.107383%8.1%7172266.416487%6.416487%6.4%7276.314345%6.314345%6.3%5152286.314345%6.314345%6.3%89295.914687%5.914687%5.9%75305.834777%5.834777%5.8%101313.917821%3.917821%3.9%58323.827751%3.827751%3.8%4833
Count number of people in category
# rank of neighborhood out of 33 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Neighborhood#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Green Bay, selected neighborhoods in Green Bay, and entities that contain Green Bay
0%10%20%30%Count#Red Smith NeighborhoodRed SmithEast Shore Drive NeighborhoodE Shr DrNicollet Drive NeighborhoodNicollet DrDowntown NeighborhoodDowntownMcAuliffe Park NeighborhoodMcAuliffe PkMacArthur Heights NeighborhoodMacArthur HtsSchmitt Park NeighborhoodSchmitt ParkBaird Creek NeighborhoodBaird CreekAstor NeighborhoodAstorWilder Park NeighborhoodWilder ParkUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinBrown CountyBrownGreen Bay Metro AreaGreen BayColburn NeighborhoodColburnGreen BayGreen BayAstor East River NeighborhoodAstor E RivLombardi NeighborhoodLombardiNavarino NeighborhoodNavarinoFiremans Park NeighborhoodFiremans ParkJohn Muir Park NeighborhoodJohn Muir PkJoannes Park NeighborhoodJoannes ParkFisk Addition NeighborhoodFisk AdditionMather Heights NeighborhoodMather HtsMarquette Park NeighborhoodMarquette PkOak Grove NeighborhoodOak GrovePerkins Park Area NeighborhoodPerkins Pk AreaStarlite NeighborhoodStarliteSeymour Park NeighborhoodSeymour ParkImperial Pride NeighborhoodImperial PrideOlde Norwood NeighborhoodOlde NorwoodTank Park NeighborhoodTank ParkMaple Arches NeighborhoodMaple ArchesFort Howard NeighborhoodFort HowardUnified South Broadway NeighborhoodUnified S BroadwayNorthwest Railway Gardens NeighborhoodNW Railway GdnsThree Corners NeighborhoodThree CornersOlde North NeighborhoodOlde North39.121482%39.121482%39.1%320321139.121482%39.121482%39.1%53235.609230%35.609230%35.6%41334.654472%34.654472%34.7%314315432.393693%32.393693%32.4%483532.296651%32.296651%32.3%407408632.000000%32.000000%32.0%522732.000000%32.000000%32.0%283284831.713100%31.713100%31.7%399400930.418025%30.418025%30.4%1,0051030.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.243623%28.243623%28.2%47,95448.0k25.916521%25.916521%25.9%54,80854.8k24.610584%24.610584%24.6%4271124.139215%24.139215%24.1%16,20216.2k24.139215%24.139215%24.1%16,20216.2k23.922902%23.922902%23.9%3003011221.960100%21.960100%22.0%2782791320.714089%20.714089%20.7%3913921419.473684%19.473684%19.5%1961971619.473684%19.473684%19.5%2442451519.120259%19.120259%19.1%2391718.757294%18.757294%18.8%2302311818.125943%18.125943%18.1%3041917.278516%17.278516%17.3%2322332017.140801%17.140801%17.1%2242252116.723596%16.723596%16.7%2572582216.487764%16.487764%16.5%3493502315.474761%15.474761%15.5%1491502415.138243%15.138243%15.1%1602513.725490%13.725490%13.7%2512522613.167690%13.167690%13.2%64652712.631579%12.631579%12.6%642812.492313%12.492313%12.5%2282292912.380952%12.380952%12.4%333011.550152%11.550152%11.6%243111.353315%11.353315%11.4%9697329.284227%9.284227%9.3%25425533
Count number of people in category
# rank of neighborhood out of 33 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Neighborhood#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Green Bay, selected neighborhoods in Green Bay, and entities that contain Green Bay
0%2%4%6%8%Count#Downtown NeighborhoodDowntownAstor NeighborhoodAstorRed Smith NeighborhoodRed SmithEast Shore Drive NeighborhoodE Shr DrNicollet Drive NeighborhoodNicollet DrSchmitt Park NeighborhoodSchmitt ParkBaird Creek NeighborhoodBaird CreekUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinBrown CountyBrownMcAuliffe Park NeighborhoodMcAuliffe PkNavarino NeighborhoodNavarinoGreen Bay Metro AreaGreen BayGreen BayGreen BayWilder Park NeighborhoodWilder ParkMacArthur Heights NeighborhoodMacArthur HtsFisk Addition NeighborhoodFisk AdditionMather Heights NeighborhoodMather HtsPerkins Park Area NeighborhoodPerkins Pk AreaMaple Arches NeighborhoodMaple ArchesColburn NeighborhoodColburnSeymour Park NeighborhoodSeymour ParkImperial Pride NeighborhoodImperial PrideFiremans Park NeighborhoodFiremans ParkJohn Muir Park NeighborhoodJohn Muir PkStarlite NeighborhoodStarliteOak Grove NeighborhoodOak GroveLombardi NeighborhoodLombardiAstor East River NeighborhoodAstor E RivJoannes Park NeighborhoodJoannes ParkFort Howard NeighborhoodFort HowardMarquette Park NeighborhoodMarquette PkOlde North NeighborhoodOlde NorthOlde Norwood NeighborhoodOlde NorwoodThree Corners NeighborhoodThree CornersTank Park NeighborhoodTank ParkUnified South Broadway NeighborhoodUnified S BroadwayNorthwest Railway Gardens NeighborhoodNW Railway Gdns9.247967%9.247967%9.2%8415.186685%5.186685%5.2%6525.078929%5.078929%5.1%414235.078929%5.078929%5.1%6744.559556%4.559556%4.6%553.543624%3.543624%3.5%575863.543624%3.543624%3.5%3173.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.072008%2.072008%2.1%3,5182.054467%2.054467%2.1%303182.053584%2.053584%2.1%383991.879146%1.879146%1.9%3,9741.777440%1.777440%1.8%1,1931.777440%1.777440%1.8%1,1931.600949%1.600949%1.6%5253101.375598%1.375598%1.4%17111.218627%1.218627%1.2%1415121.070822%1.070822%1.1%1718130.997094%0.997094%1.0%15140.781955%0.781955%0.8%34150.724484%0.724484%0.7%1213160.671794%0.671794%0.7%67170.547495%0.547495%0.5%56180.526316%0.526316%0.5%5200.526316%0.526316%0.5%67190.508276%0.508276%0.5%1011210.482995%0.482995%0.5%6220.391821%0.391821%0.4%45230.264550%0.264550%0.3%3240.250828%0.250828%0.3%3250.162955%0.162955%0.2%23260.145689%0.145689%0.1%12270.000000%0.000000%0.0%0280.000000%0.000000%0.0%0290.000000%0.000000%0.0%0300.000000%0.000000%0.0%0310.000000%0.000000%0.0%0320.000000%0.000000%0.0%033
Count number of people in category
# rank of neighborhood out of 33 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by Neighborhood#45

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Green Bay, selected neighborhoods in Green Bay, and entities that contain Green Bay
Female
Male
1x0x1x2x3xFM#ColburnOlde NorwoodMarquette PkFiremans ParkJohn Muir PkFisk AdditionLombardiMather HtsAstor E RivOlde NorthTank ParkJoannes ParkPerkins Pk AreaNavarinoSeymour ParkBaird CreekSchmitt ParkGreen BayGreen BayGreen BayBrownWisconsinThree CornersUnified S BroadwayFort HowardWilder ParkMaple ArchesNW Railway GdnsMidwestEast North CentralUnited StatesNicollet DrOak GroveAstorStarliteMacArthur HtsMcAuliffe PkImperial PrideRed SmithE Shr DrDowntown-1.000000x-1.000000x3.005623x3.005623x3.01x2.966%2.97%8.915%8.92%1-1.000000x-1.000000x2.649343x2.649343x2.65x7.957%7.96%21.081%21.1%2-1.000000x-1.000000x2.492665x2.492665x2.49x6.174%6.17%15.390%15.4%3-1.000000x-1.000000x1.890489x1.890489x1.89x7.466%7.47%14.114%14.1%5-1.000000x-1.000000x1.890489x1.890489x1.89x7.466%7.47%14.114%14.1%4-1.000000x-1.000000x1.842395x1.842395x1.84x6.608%6.61%12.175%12.2%6-1.000000x-1.000000x1.837119x1.837119x1.84x4.239%4.24%7.787%7.79%7-1.000000x-1.000000x1.717932x1.717932x1.72x7.237%7.24%12.432%12.4%8-1.000000x-1.000000x1.652718x1.652718x1.65x9.833%9.83%16.252%16.3%9-1.000000x-1.000000x1.609871x1.609871x1.61x22.251%22.3%35.821%35.8%10-1.000000x-1.000000x1.595224x1.595224x1.60x13.903%13.9%22.179%22.2%11-1.000000x-1.000000x1.517401x1.517401x1.52x15.077%15.1%22.878%22.9%12-1.000000x-1.000000x1.504483x1.504483x1.50x9.119%9.12%13.720%13.7%13-1.000000x-1.000000x1.464709x1.464709x1.46x17.700%17.7%25.926%25.9%14-1.000000x-1.000000x1.457584x1.457584x1.46x12.495%12.5%18.212%18.2%15-1.000000x-1.000000x1.446111x1.446111x1.45x6.608%6.61%9.556%9.56%17-1.000000x-1.000000x1.446111x1.446111x1.45x6.608%6.61%9.556%9.56%16-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%-1.000000x-1.000000x1.245810x1.245810x1.25x7.746%7.75%9.650%9.65%-1.000000x-1.000000x1.236680x1.236680x1.24x7.707%7.71%9.531%9.53%-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.190154x1.190154x1.19x25.617%25.6%30.488%30.5%18-1.000000x-1.000000x1.183065x1.183065x1.18x20.415%20.4%24.153%24.2%19-1.000000x-1.000000x1.181188x1.181188x1.18x17.385%17.4%20.535%20.5%20-1.000000x-1.000000x1.159671x1.159671x1.16x12.521%12.5%14.520%14.5%21-1.000000x-1.000000x1.156020x1.156020x1.16x14.924%14.9%17.252%17.3%22-1.000000x-1.000000x1.144244x1.144244x1.14x18.294%18.3%20.933%20.9%23-1.000000x-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-1.000000x1.026638x1.026638x1.03x6.334%6.33%6.502%6.50%24-1.000000x-1.000000x1.011181x1.011181x1.01x13.617%13.6%13.769%13.8%25-1.001698x-1.001698x1.00x1.000000x1.000000x13.367%13.4%13.344%13.3%26-1.064480x-1.064480x1.06x1.000000x1.000000x14.135%14.1%13.279%13.3%27-1.065548x-1.065548x1.07x1.000000x1.000000x3.941%3.94%3.699%3.70%28-1.118628x-1.118628x1.12x1.000000x1.000000x4.122%4.12%3.685%3.68%29-1.128070x-1.128070x1.13x1.000000x1.000000x14.607%14.6%12.948%12.9%30-1.171017x-1.171017x1.17x1.000000x1.000000x6.790%6.79%5.798%5.80%31-1.171017x-1.171017x1.17x1.000000x1.000000x6.790%6.79%5.798%5.80%32-1.826640x-1.826640x1.83x1.000000x1.000000x16.462%16.5%9.012%9.01%33
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 33 by male-to-female sex ratio

Over-Education Sex Ratio by Neighborhood#46

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Green Bay, selected neighborhoods in Green Bay, and entities that contain Green Bay
Female
Male
10x5x0x5x10xFM#Marquette PkMacArthur HtsJoannes ParkAstor E RivLombardiMcAuliffe PkNicollet DrE Shr DrRed SmithSchmitt ParkBaird CreekWilder ParkGreen BayGreen BayColburnBrownGreen BayEast North CentralMidwestWisconsinAstorUnited StatesDowntownNavarinoMaple ArchesPerkins Pk AreaSeymour ParkMather HtsFort HowardFisk AdditionOak GroveStarliteImperial PrideJohn Muir PkFiremans Park-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.278%0.28%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.934%2.93%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.468%0.47%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.484%0.48%4-1.000000x-1.000000x7.146563x7.146563x7.15x0.100%0.10%0.717%0.72%5-1.000000x-1.000000x7.044012x7.044012x7.04x0.538%0.54%3.787%3.79%6-1.000000x-1.000000x4.022084x4.022084x4.02x1.836%1.84%7.384%7.38%7-1.000000x-1.000000x3.784191x3.784191x3.78x2.175%2.18%8.232%8.23%8-1.000000x-1.000000x3.784191x3.784191x3.78x2.175%2.18%8.232%8.23%9-1.000000x-1.000000x2.577966x2.577966x2.58x1.966%1.97%5.069%5.07%10-1.000000x-1.000000x2.577966x2.577966x2.58x1.966%1.97%5.069%5.07%11-1.000000x-1.000000x2.258838x2.258838x2.26x1.006%1.01%2.273%2.27%12-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%-1.000000x-1.000000x1.787372x1.787372x1.79x0.525%0.53%0.939%0.94%13-1.000000x-1.000000x1.733262x1.733262x1.73x1.524%1.52%2.641%2.64%-1.000000x-1.000000x1.720824x1.720824x1.72x1.386%1.39%2.385%2.38%-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.543135x1.543135x1.54x4.138%4.14%6.385%6.39%14-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.508038x1.508038x1.51x7.125%7.13%10.745%10.7%15-1.000000x-1.000000x1.239146x1.239146x1.24x1.843%1.84%2.284%2.28%16-1.000000x-1.000000x1.048675x1.048675x1.05x0.764%0.76%0.801%0.80%17-1.875751x-1.875751x1.88x1.000000x1.000000x1.275%1.27%0.680%0.68%18-2.223420x-2.223420x2.22x1.000000x1.000000x0.915%0.92%0.412%0.41%19-2.267153x-2.267153x2.27x1.000000x1.000000x1.440%1.44%0.635%0.64%20-2.325340x-2.325340x2.33x1.000000x1.000000x0.227%0.23%0.098%0.10%21-2.371361x-2.371361x2.37x1.000000x1.000000x1.666%1.67%0.702%0.70%22-7.054340x-7.054340x7.05x1.000000x1.000000x0.848%0.85%0.120%0.12%23-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.918%0.92%0.091%0.09%24-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.070%1.07%0.000%0%25-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.096%1.10%0.000%0%26-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.096%1.10%0.000%0%27
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 27 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Green Bay Area

There are 69 county subdivisions in the Green Bay Area. This section compares Green Bay to the 50 most populous county subdivisions in the Green Bay Area and to those entities that contain or substantially overlap with Green Bay. The least populous of the compared county subdivisions has a population of 914.

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 Green Bay, selected other county subdivisions in the Green Bay Area, and entities that contain Green Bay
0%5%10%15%Count#Town of BrazeauBrazeauTown of Little RiverLittle RivTown of RiverviewRiverviewGillettTown of MorrisonMorrisonTown of MontpelierMontpelierTown of LincolnLincolnUnited States of AmericaUnited StatesTown of West KewauneeW KewauneeGreen BayGreen BayTown of StilesStilesTown of GillettGillettEast North CentralTown of HumboldtHumboldtMidwestTown of HollandHollandTown of CarltonCarltonTown of PensaukeePensaukeeTown of OcontoOcontoTown of WrightstownWrightstownOcontoDenmarkBellevueAlgomaTown of EatonGreen Bay Metro AreaGreen BayWisconsinBrown CountyBrownAllouezOconto FallsTown of Red RiverRed RivTown of ScottTown of MorganMorganTown of Green BayGrn BayTown of Oconto FallsOconto FallsTown of FranklinFranklinHobartTown of AbramsAbramsAshwaubenonHowardTown of GlenmoreGlenmoreWrightstownTown of LuxemburgLuxemburgLuxemburgTown of Little SuamicoLittle SuamicoTown of New DenmarkNew DenmarkKewauneeTown of RocklandRocklandTown of PittsfieldPittsfieldTown of CascoTown of ChasePulaskiDe PereSuamicoTown of LedgeviewLedgeviewTown of LawrenceLawrence16.600000%16.600000%16.6%166115.607735%15.607735%15.6%113213.748531%13.748531%13.7%117313.501647%13.501647%13.5%123413.487476%13.487476%13.5%140513.287514%13.287514%13.3%116613.050314%13.050314%13.1%83713.020590%13.020590%13.0%27,818,38027.8M12.660732%12.660732%12.7%128812.535944%12.535944%12.5%8,41412.535944%12.535944%12.5%8,414912.066116%12.066116%12.1%1461010.749646%10.749646%10.7%761110.719464%10.719464%10.7%3,363,7843.36M10.662177%10.662177%10.7%951210.244520%10.244520%10.2%4,641,8354.64M10.227273%10.227273%10.2%991310.146862%10.146862%10.1%761410.130391%10.130391%10.1%101159.783728%9.783728%9.8%95169.711286%9.711286%9.7%148179.403311%9.403311%9.4%301189.357143%9.357143%9.4%131199.323378%9.323378%9.3%999209.187750%9.187750%9.2%207219.176030%9.176030%9.2%98228.685969%8.685969%8.7%18,36918.4k8.637220%8.637220%8.6%336,096336k8.601954%8.601954%8.6%14,60514.6k8.512097%8.512097%8.5%869238.349057%8.349057%8.3%177247.905138%7.905138%7.9%80256.977598%6.977598%7.0%190266.929348%6.929348%6.9%51276.866077%6.866077%6.9%101286.549708%6.549708%6.5%56296.486486%6.486486%6.5%48306.319703%6.319703%6.3%306316.208426%6.208426%6.2%84326.168099%6.168099%6.2%739336.065319%6.065319%6.1%780345.790109%5.790109%5.8%48355.394191%5.394191%5.4%104365.327414%5.327414%5.3%48375.283505%5.283505%5.3%82384.992390%4.992390%5.0%164394.878049%4.878049%4.9%50404.569892%4.569892%4.6%102414.506803%4.506803%4.5%53424.465710%4.465710%4.5%84434.126214%4.126214%4.1%34444.116095%4.116095%4.1%78454.051079%4.051079%4.1%92463.911088%3.911088%3.9%600473.395282%3.395282%3.4%285483.142019%3.142019%3.1%150490.893123%0.893123%0.9%3050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Green Bay, selected other county subdivisions in the Green Bay Area, and entities that contain Green Bay
0%10%20%30%40%Count#Town of LedgeviewLedgeviewHobartAllouezDe PereTown of LawrenceLawrenceSuamicoTown of RocklandRocklandWrightstownUnited States of AmericaUnited StatesTown of PittsfieldPittsfieldMidwestHowardEast North CentralWisconsinBrown CountyBrownAshwaubenonGreen Bay Metro AreaGreen BayTown of Green BayGrn BayBellevueTown of ScottTown of Little SuamicoLittle SuamicoTown of Red RiverRed RivGreen BayGreen BayTown of Oconto FallsOconto FallsPulaskiTown of ChaseKewauneeTown of New DenmarkNew DenmarkLuxemburgDenmarkTown of GlenmoreGlenmoreTown of WrightstownWrightstownOconto FallsOcontoTown of EatonTown of AbramsAbramsTown of OcontoOcontoTown of PensaukeePensaukeeAlgomaTown of StilesStilesTown of HollandHollandTown of RiverviewRiverviewTown of FranklinFranklinTown of Little RiverLittle RivTown of MontpelierMontpelierTown of West KewauneeW KewauneeTown of LuxemburgLuxemburgTown of MorganMorganTown of CascoTown of HumboldtHumboldtTown of MorrisonMorrisonTown of CarltonCarltonGillettTown of LincolnLincolnTown of GillettGillettTown of BrazeauBrazeau45.831588%45.831588%45.8%2,188141.821561%41.821561%41.8%2,025236.575571%36.575571%36.6%3,734336.151489%36.151489%36.2%5,546435.695147%35.695147%35.7%1,199534.774839%34.774839%34.8%2,919631.717687%31.717687%31.7%373730.757261%30.757261%30.8%593830.315023%30.315023%30.3%64,767,78764.8M29.346093%29.346093%29.3%552928.952816%28.952816%29.0%13,118,64213.1M28.794712%28.794712%28.8%3,7031028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.243623%28.243623%28.2%47,95448.0k26.525332%26.525332%26.5%3,1781125.916521%25.916521%25.9%54,80854.8k25.900748%25.900748%25.9%3811224.965002%24.965002%25.0%2,6751324.935733%24.935733%24.9%6791424.809741%24.809741%24.8%8151524.802372%24.802372%24.8%2511624.139215%24.139215%24.1%16,20216.2k24.139215%24.139215%24.1%16,20216.2k1723.040936%23.040936%23.0%1971821.664465%21.664465%21.7%4921921.635884%21.635884%21.6%4102021.057348%21.057348%21.1%4702120.878049%20.878049%20.9%2142220.231959%20.231959%20.2%3142320.142857%20.142857%20.1%2822419.662244%19.662244%19.7%1632519.553806%19.553806%19.6%2982617.311321%17.311321%17.3%3672716.744767%16.744767%16.7%5362816.573034%16.573034%16.6%1772916.555802%16.555802%16.6%2243016.271885%16.271885%16.3%1583116.148445%16.148445%16.1%1613216.111851%16.111851%16.1%3633315.867769%15.867769%15.9%1923415.599174%15.599174%15.6%1513515.158637%15.158637%15.2%1293614.864865%14.864865%14.9%1103714.502762%14.502762%14.5%1053813.631157%13.631157%13.6%1193913.155292%13.155292%13.2%1334013.096559%13.096559%13.1%1184112.635870%12.635870%12.6%934212.257282%12.257282%12.3%1014312.008979%12.008979%12.0%1074411.849711%11.849711%11.8%1234511.348465%11.348465%11.3%85469.989023%9.989023%10.0%91479.591195%9.591195%9.6%61489.476662%9.476662%9.5%67497.900000%7.900000%7.9%7950
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#49

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Green Bay, selected other county subdivisions in the Green Bay Area, and entities that contain Green Bay
0%1%2%3%4%5%Count#Town of LawrenceLawrenceTown of LedgeviewLedgeviewAllouezTown of ScottTown of RocklandRocklandUnited States of AmericaUnited StatesHobartOconto FallsDe PereTown of Red RiverRed RivMidwestEast North CentralWisconsinKewauneeSuamicoTown of Oconto FallsOconto FallsBrown CountyBrownTown of StilesStilesTown of PittsfieldPittsfieldGreen Bay Metro AreaGreen BayOcontoGreen BayGreen BayTown of Green BayGrn BayWrightstownTown of Little SuamicoLittle SuamicoTown of LincolnLincolnTown of RiverviewRiverviewHowardTown of MontpelierMontpelierTown of WrightstownWrightstownGillettTown of New DenmarkNew DenmarkAshwaubenonTown of LuxemburgLuxemburgLuxemburgBellevueTown of EatonTown of FranklinFranklinTown of MorrisonMorrisonTown of GlenmoreGlenmoreTown of PensaukeePensaukeeTown of BrazeauBrazeauTown of West KewauneeW KewauneeTown of MorganMorganTown of HollandHollandTown of CarltonCarltonTown of CascoTown of OcontoOcontoTown of ChaseTown of AbramsAbramsPulaskiAlgomaDenmarkTown of HumboldtHumboldtTown of Little RiverLittle RivTown of GillettGillett5.180113%5.180113%5.2%17415.027231%5.027231%5.0%24024.358899%4.358899%4.4%44533.782593%3.782593%3.8%10343.401361%3.401361%3.4%4053.336158%3.336158%3.3%7,127,6737.13M3.118546%3.118546%3.1%15163.113208%3.113208%3.1%6673.083241%3.083241%3.1%47383.063241%3.063241%3.1%3192.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.553763%2.553763%2.6%57102.406481%2.406481%2.4%202112.222222%2.222222%2.2%19122.072008%2.072008%2.1%3,5182.066116%2.066116%2.1%25131.913876%1.913876%1.9%36141.879146%1.879146%1.9%3,9741.780694%1.780694%1.8%57151.777440%1.777440%1.8%1,1931.777440%1.777440%1.8%1,193161.699524%1.699524%1.7%25171.504149%1.504149%1.5%29181.491629%1.491629%1.5%49191.415094%1.415094%1.4%9201.410106%1.410106%1.4%12211.384137%1.384137%1.4%178221.260023%1.260023%1.3%11231.246719%1.246719%1.2%19240.987925%0.987925%1.0%9250.878049%0.878049%0.9%9260.784576%0.784576%0.8%94270.776915%0.776915%0.8%7280.773196%0.773196%0.8%12290.765282%0.765282%0.8%82300.749064%0.749064%0.7%8310.675676%0.675676%0.7%5320.674374%0.674374%0.7%7330.603136%0.603136%0.6%5340.601805%0.601805%0.6%6350.600000%0.600000%0.6%6360.593472%0.593472%0.6%6370.543478%0.543478%0.5%4380.516529%0.516529%0.5%5390.400534%0.400534%0.4%3400.364078%0.364078%0.4%3410.308960%0.308960%0.3%3420.263852%0.263852%0.3%5430.221729%0.221729%0.2%3440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#50

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Green Bay, selected other county subdivisions in the Green Bay Area, and entities that contain Green Bay
Female
Male
10x5x0xFM#RocklandOcontoPittsfieldDenmarkMorganCarltonGlenmoreDe PereTown of ScottOcontoNew DenmarkLincolnRiverviewLittle SuamicoHollandGillettOconto FallsMontpelierTown of EatonGreen BayGreen BayLittle RivGillettHumboldtGreen BayBrownRed RivWisconsinStilesBrazeauFranklinW KewauneeMidwestEast North CentralLuxemburgTown of ChaseUnited StatesWrightstownSuamicoHowardPensaukeeLuxemburgLedgeviewMorrisonAbramsGrn BayAllouezWrightstownAshwaubenonTown of CascoBellevueAlgomaHobartOconto FallsPulaskiKewauneeLawrence-1.000000x-1.000000x2.953846x2.953846x2.95x2.257%2.26%6.667%6.67%1-1.000000x-1.000000x2.571364x2.571364x2.57x5.318%5.32%13.674%13.7%2-1.000000x-1.000000x2.518677x2.518677x2.52x2.542%2.54%6.403%6.40%3-1.000000x-1.000000x2.355563x2.355563x2.36x5.699%5.70%13.424%13.4%4-1.000000x-1.000000x2.297872x2.297872x2.30x4.167%4.17%9.574%9.57%5-1.000000x-1.000000x2.283739x2.283739x2.28x6.094%6.09%13.918%13.9%6-1.000000x-1.000000x2.259169x2.259169x2.26x3.571%3.57%8.068%8.07%7-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%8-1.000000x-1.000000x2.063668x2.063668x2.06x4.460%4.46%9.204%9.20%9-1.000000x-1.000000x1.859538x1.859538x1.86x6.832%6.83%12.705%12.7%10-1.000000x-1.000000x1.837743x1.837743x1.84x3.455%3.45%6.349%6.35%11-1.000000x-1.000000x1.781857x1.781857x1.78x9.325%9.32%16.615%16.6%12-1.000000x-1.000000x1.739652x1.739652x1.74x9.951%9.95%17.312%17.3%13-1.000000x-1.000000x1.671027x1.671027x1.67x3.697%3.70%6.177%6.18%14-1.000000x-1.000000x1.640228x1.640228x1.64x7.606%7.61%12.476%12.5%15-1.000000x-1.000000x1.581086x1.581086x1.58x8.150%8.15%12.887%12.9%16-1.000000x-1.000000x1.457645x1.457645x1.46x5.301%5.30%7.727%7.73%17-1.000000x-1.000000x1.449249x1.449249x1.45x10.660%10.7%15.449%15.4%18-1.000000x-1.000000x1.440913x1.440913x1.44x7.486%7.49%10.786%10.8%19-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%20-1.000000x-1.000000x1.398582x1.398582x1.40x12.931%12.9%18.085%18.1%21-1.000000x-1.000000x1.374407x1.374407x1.37x11.379%11.4%15.639%15.6%22-1.000000x-1.000000x1.363631x1.363631x1.36x8.986%8.99%12.254%12.3%23-1.000000x-1.000000x1.245810x1.245810x1.25x7.746%7.75%9.650%9.65%-1.000000x-1.000000x1.236680x1.236680x1.24x7.707%7.71%9.531%9.53%-1.000000x-1.000000x1.226145x1.226145x1.23x7.085%7.09%8.687%8.69%24-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.210467x1.210467x1.21x10.830%10.8%13.110%13.1%25-1.000000x-1.000000x1.208490x1.208490x1.21x15.030%15.0%18.164%18.2%26-1.000000x-1.000000x1.201139x1.201139x1.20x5.898%5.90%7.084%7.08%27-1.000000x-1.000000x1.144599x1.144599x1.14x11.811%11.8%13.519%13.5%28-1.000000x-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-1.000000x1.112689x1.112689x1.11x5.024%5.02%5.590%5.59%29-1.000000x-1.000000x1.111622x1.111622x1.11x3.899%3.90%4.334%4.33%30-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.088361x1.088361x1.09x9.280%9.28%10.100%10.1%31-1.000000x-1.000000x1.058399x1.058399x1.06x3.299%3.30%3.492%3.49%32-1.000000x-1.000000x1.056613x1.056613x1.06x5.903%5.90%6.237%6.24%33-1.000000x-1.000000x1.053928x1.053928x1.05x9.853%9.85%10.385%10.4%34-1.017857x-1.017857x1.02x1.000000x1.000000x5.328%5.33%5.235%5.23%35-1.069705x-1.069705x1.07x1.000000x1.000000x3.246%3.25%3.034%3.03%36-1.095584x-1.095584x1.10x1.000000x1.000000x14.095%14.1%12.865%12.9%37-1.127994x-1.127994x1.13x1.000000x1.000000x6.587%6.59%5.839%5.84%38-1.178462x-1.178462x1.18x1.000000x1.000000x7.461%7.46%6.331%6.33%39-1.228382x-1.228382x1.23x1.000000x1.000000x9.398%9.40%7.651%7.65%40-1.229865x-1.229865x1.23x1.000000x1.000000x5.943%5.94%4.832%4.83%41-1.237978x-1.237978x1.24x1.000000x1.000000x6.794%6.79%5.488%5.49%42-1.251923x-1.251923x1.25x1.000000x1.000000x4.615%4.62%3.687%3.69%43-1.346928x-1.346928x1.35x1.000000x1.000000x10.654%10.7%7.910%7.91%44-1.366355x-1.366355x1.37x1.000000x1.000000x10.586%10.6%7.748%7.75%45-1.466824x-1.466824x1.47x1.000000x1.000000x7.457%7.46%5.084%5.08%46-1.555556x-1.555556x1.56x1.000000x1.000000x10.000%10.0%6.429%6.43%47-1.735089x-1.735089x1.74x1.000000x1.000000x4.957%4.96%2.857%2.86%48-1.821001x-1.821001x1.82x1.000000x1.000000x5.784%5.78%3.176%3.18%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.877%1.88%0.000%0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

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 Green Bay, selected other county subdivisions in the Green Bay Area, and entities that contain Green Bay
Female
Male
10x5x0x5x10xFM#KewauneeNew DenmarkOcontoOconto FallsGlenmoreMontpelierTown of CascoTown of ScottStilesRed RivHollandOcontoRiverviewMorrisonWrightstownHowardLuxemburgLedgeviewLawrenceGillettGreen BayGreen BayAllouezBrownGreen BaySuamicoEast North CentralMidwestTown of EatonWisconsinUnited StatesRocklandDe PereWrightstownPittsfieldLuxemburgOconto FallsW KewauneeGrn BayPensaukeeFranklinAshwaubenonHobartBellevueBrazeauLincolnLittle SuamicoTown of ChaseAbramsCarltonMorgan-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.486%5.49%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.786%1.79%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.615%0.61%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.318%4.32%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.222%1.22%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.296%2.30%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.691%0.69%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.548%0.55%6.644%6.64%8-1.000000x-1.000000x9.711890x9.711890x9.71x0.361%0.36%3.506%3.51%9-1.000000x-1.000000x8.900901x8.900901x8.90x0.607%0.61%5.405%5.41%10-1.000000x-1.000000x3.431862x3.431862x3.43x0.224%0.22%0.768%0.77%11-1.000000x-1.000000x3.210771x3.210771x3.21x0.856%0.86%2.748%2.75%12-1.000000x-1.000000x2.815490x2.815490x2.82x0.728%0.73%2.050%2.05%13-1.000000x-1.000000x2.558480x2.558480x2.56x0.381%0.38%0.975%0.97%14-1.000000x-1.000000x2.520698x2.520698x2.52x0.693%0.69%1.746%1.75%15-1.000000x-1.000000x2.492011x2.492011x2.49x0.802%0.80%1.999%2.00%16-1.000000x-1.000000x2.166443x2.166443x2.17x0.496%0.50%1.074%1.07%17-1.000000x-1.000000x2.041817x2.041817x2.04x3.328%3.33%6.795%6.79%18-1.000000x-1.000000x2.016531x2.016531x2.02x3.379%3.38%6.814%6.81%19-1.000000x-1.000000x2.013216x2.013216x2.01x0.656%0.66%1.322%1.32%20-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%21-1.000000x-1.000000x1.991366x1.991366x1.99x2.901%2.90%5.777%5.78%22-1.000000x-1.000000x1.733262x1.733262x1.73x1.524%1.52%2.641%2.64%-1.000000x-1.000000x1.720824x1.720824x1.72x1.386%1.39%2.385%2.38%-1.000000x-1.000000x1.601911x1.601911x1.60x1.851%1.85%2.966%2.97%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-1.000000x1.587447x1.587447x1.59x0.576%0.58%0.914%0.91%24-1.000000x-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-1.000000x1.440000x1.440000x1.44x2.778%2.78%4.000%4.00%25-1.000000x-1.000000x1.363936x1.363936x1.36x2.638%2.64%3.598%3.60%26-1.000000x-1.000000x1.261797x1.261797x1.26x1.332%1.33%1.681%1.68%27-1.000000x-1.000000x1.259338x1.259338x1.26x1.695%1.69%2.134%2.13%28-1.000000x-1.000000x1.153899x1.153899x1.15x0.718%0.72%0.828%0.83%29-1.000000x-1.000000x1.030321x1.030321x1.03x3.070%3.07%3.163%3.16%30-1.000000x-1.000000x1.009940x1.009940x1.01x0.591%0.59%0.596%0.60%31-1.025052x-1.025052x1.03x1.000000x1.000000x1.722%1.72%1.680%1.68%32-1.090147x-1.090147x1.09x1.000000x1.000000x0.629%0.63%0.577%0.58%33-1.475871x-1.475871x1.48x1.000000x1.000000x0.804%0.80%0.545%0.54%34-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%35-1.653790x-1.653790x1.65x1.000000x1.000000x3.848%3.85%2.327%2.33%36-1.720627x-1.720627x1.72x1.000000x1.000000x0.960%0.96%0.558%0.56%37-2.008016x-2.008016x2.01x1.000000x1.000000x0.802%0.80%0.399%0.40%38-2.090032x-2.090032x2.09x1.000000x1.000000x1.929%1.93%0.923%0.92%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.123%3.12%0.000%0%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.527%0.53%0.000%0%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.449%0.45%0.000%0%42-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.831%0.83%0.000%0%43-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.111%1.11%0.000%0%44
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 44 by male-to-female sex ratio

Educational Attainment by County Subdivision in Wisconsin

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

No H.S. Diploma by County Subdivision#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Green Bay, selected other county subdivisions in Wisconsin, and entities that contain Green Bay
0%5%10%15%Count#BeloitRacineMilwaukeeUnited States of AmericaUnited StatesGreen BayGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshBeaver DamSouth MilwaukeeS MilwaukeeMarshfieldFond du LacGreen Bay Metro AreaGreen BayFitchburgWisconsinBrown CountyBrownJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaWest BendSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekGermantownOnalaskaMadisonMenomonee FallsNew BerlinOconomowocSun PrairieDe PereMuskegoWauwatosaBrookfieldMiddletonMequon18.491431%18.491431%18.5%4,197117.907441%17.907441%17.9%8,710217.485105%17.485105%17.5%63,80063.8k313.020590%13.020590%13.0%27,818,38027.8M12.535944%12.535944%12.5%8,41412.535944%12.535944%12.5%8,414411.643417%11.643417%11.6%3,806511.549265%11.549265%11.5%7,360611.206563%11.206563%11.2%2,609711.082337%11.082337%11.1%1,455810.776184%10.776184%10.8%2,885910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,399109.995428%9.995428%10.0%4,154119.950027%9.950027%10.0%1,115129.190270%9.190270%9.2%1,379138.829004%8.829004%8.8%1,091148.713948%8.713948%8.7%2,547158.685969%8.685969%8.7%18,36918.4k8.662728%8.662728%8.7%1,613168.637220%8.637220%8.6%336,096336k8.601954%8.601954%8.6%14,60514.6k8.522583%8.522583%8.5%3,704178.211921%8.211921%8.2%620188.204982%8.204982%8.2%2,296197.709924%7.709924%7.7%1,111207.618904%7.618904%7.6%3,034217.392323%7.392323%7.4%1,924227.158983%7.158983%7.2%3,393237.144208%7.144208%7.1%1,133247.116644%7.116644%7.1%2,075257.048284%7.048284%7.0%889266.746719%6.746719%6.7%1,208276.565400%6.565400%6.6%1,422286.289585%6.289585%6.3%1,142296.244351%6.244351%6.2%829306.168099%6.168099%6.2%739316.128290%6.128290%6.1%2,398326.111996%6.111996%6.1%883336.065319%6.065319%6.1%780346.042598%6.042598%6.0%1,149355.863324%5.863324%5.9%1,015365.765641%5.765641%5.8%1,421375.227570%5.227570%5.2%719384.888290%4.888290%4.9%617394.836248%4.836248%4.8%7,351404.484909%4.484909%4.5%1,165414.236891%4.236891%4.2%1,267423.988090%3.988090%4.0%442433.955766%3.955766%4.0%812443.911088%3.911088%3.9%600453.554446%3.554446%3.6%598463.390471%3.390471%3.4%1,167472.806979%2.806979%2.8%761482.731305%2.731305%2.7%351492.107701%2.107701%2.1%35550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Green Bay, selected other county subdivisions in Wisconsin, and entities that contain Green Bay
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocMenomonee FallsSun PrairieNew BerlinGermantownFranklinStevens PointDe PereWaukeshaOnalaskaMenomonieMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteOak CreekUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardEast North CentralWisconsinMarshfieldBrown CountyBrownWest BendAshwaubenonGreen Bay Metro AreaGreen BayWausauOshkoshGreen BayGreen BayWest AllisFond du LacMilwaukeeKenoshaSuperiorJanesvilleCudahyManitowocSouth MilwaukeeS MilwaukeeSheboyganBeaver DamRacineBeloitWisconsin Rapids63.254765%63.254765%63.3%10,65410.7k158.898140%58.898140%58.9%7,569258.155142%58.155142%58.2%20,01720.0k358.053926%58.053926%58.1%15,73915.7k456.337583%56.337583%56.3%85,63285.6k546.358754%46.358754%46.4%8,632644.229902%44.229902%44.2%4,902741.080228%41.080228%41.1%10,67110.7k841.077605%41.077605%41.1%8,432940.780498%40.780498%40.8%12,19512.2k1039.610295%39.610295%39.6%5,4481137.841472%37.841472%37.8%9,8491236.471240%36.471240%36.5%5,2691336.151489%36.151489%36.2%5,5461435.550164%35.550164%35.6%16,84916.8k1535.152908%35.152908%35.2%4,4371635.139073%35.139073%35.1%2,6531733.499762%33.499762%33.5%5,6361833.074254%33.074254%33.1%4,7661932.942347%32.942347%32.9%9,6052032.747831%32.747831%32.7%6,2272132.464907%32.464907%32.5%5,6202232.432916%32.432916%32.4%12,69112.7k2332.296218%32.296218%32.3%12,86112.9k2432.202535%32.202535%32.2%5,1072531.640023%31.640023%31.6%7,7982630.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0932728.919296%28.919296%28.9%5,1782828.909310%28.909310%28.9%3,8382928.794712%28.794712%28.8%3,7033028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.348305%28.348305%28.3%3,5033128.243623%28.243623%28.2%47,95448.0k27.212706%27.212706%27.2%5,8943226.525332%26.525332%26.5%3,1783325.916521%25.916521%25.9%54,80854.8k25.519199%25.519199%25.5%6,8323424.478452%24.478452%24.5%10,17310.2k3524.139215%24.139215%24.1%16,20216.2k24.139215%24.139215%24.1%16,20216.2k3623.980394%23.980394%24.0%10,51910.5k3723.606692%23.606692%23.6%6,9003823.517740%23.517740%23.5%85,81285.8k3922.927488%22.927488%22.9%14,61114.6k4022.415597%22.415597%22.4%4,0704122.035848%22.035848%22.0%9,5774221.471552%21.471552%21.5%2,8194321.017138%21.017138%21.0%4,8934420.519827%20.519827%20.5%3,0794519.530103%19.530103%19.5%6,3844618.623951%18.623951%18.6%2,0874717.525031%17.525031%17.5%8,5244816.605719%16.605719%16.6%3,7694915.880441%15.880441%15.9%2,00350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Green Bay, selected other county subdivisions in Wisconsin, and entities that contain Green Bay
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieNeenahFranklinDe PereGermantownMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieBeaver DamWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWaukeshaBrown CountyBrownMilwaukeeGreen Bay Metro AreaGreen BayGreenfieldOak CreekBeloitGreen BayGreen BayKenoshaWisconsin RapidsJanesvilleOshkoshSuperiorFond du LacHowardCudahyWest BendWest AllisRacineManitowocSouth MilwaukeeS MilwaukeeSheboyganAshwaubenon11.084724%11.084724%11.1%1,867110.022566%10.022566%10.0%1,28829.217661%9.217661%9.2%2,49939.171173%9.171173%9.2%13,94013.9k48.094131%8.094131%8.1%2,78657.196563%7.196563%7.2%1,34065.867120%5.867120%5.9%72574.993377%4.993377%5.0%37784.777583%4.777583%4.8%1,39394.679172%4.679172%4.7%676104.547615%4.547615%4.5%574114.222683%4.222683%4.2%468123.762039%3.762039%3.8%1,125133.336158%3.336158%3.3%7,127,6737.13M3.295350%3.295350%3.3%856143.288352%3.288352%3.3%675153.188724%3.188724%3.2%552163.100626%3.100626%3.1%807173.083241%3.083241%3.1%473182.995492%2.995492%3.0%412192.893416%2.893416%2.9%1,311,0191.31M2.869921%2.869921%2.9%1,123202.855432%2.855432%2.9%896,039896k2.794937%2.794937%2.8%1,113212.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450222.637058%2.637058%2.6%380232.552204%2.552204%2.6%286242.416704%2.416704%2.4%647252.396116%2.396116%2.4%380262.356884%2.356884%2.4%422272.303445%2.303445%2.3%438282.244652%2.244652%2.2%298292.192214%2.192214%2.2%1,039302.072008%2.072008%2.1%3,5182.043126%2.043126%2.0%7,455311.879146%1.879146%1.9%3,9741.868992%1.868992%1.9%523321.809624%1.809624%1.8%446331.784377%1.784377%1.8%405341.777440%1.777440%1.8%1,1931.777440%1.777440%1.8%1,193351.762204%1.762204%1.8%1,123361.688734%1.688734%1.7%213371.555418%1.555418%1.6%676381.549604%1.549604%1.5%644391.525582%1.525582%1.5%277401.454035%1.454035%1.5%425411.384137%1.384137%1.4%178421.302460%1.302460%1.3%171431.292765%1.292765%1.3%280441.251567%1.251567%1.3%549451.155451%1.155451%1.2%562461.133972%1.133972%1.1%264470.893036%0.893036%0.9%134480.868820%0.868820%0.9%284490.784576%0.784576%0.8%9450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#55

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Green Bay, selected other county subdivisions in Wisconsin, and entities that contain Green Bay
Female
Male
1x0x1x2xFM#De PereMenashaOshkoshFranklinCaledoniaManitowocGreen BayGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorGreen BayBrownStevens PointAppletonWisconsinRacineGrand ChuteGermantownMadisonMuskegoKenoshaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%1-1.000000x-1.000000x1.888774x1.888774x1.89x4.337%4.34%8.192%8.19%2-1.000000x-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.534399x1.534399x1.53x5.333%5.33%8.182%8.18%5-1.000000x-1.000000x1.432549x1.432549x1.43x9.294%9.29%13.313%13.3%6-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%7-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%9-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%10-1.000000x-1.000000x1.294088x1.294088x1.29x7.468%7.47%9.664%9.66%11-1.000000x-1.000000x1.293422x1.293422x1.29x5.323%5.32%6.885%6.89%12-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%13-1.000000x-1.000000x1.245810x1.245810x1.25x7.746%7.75%9.650%9.65%-1.000000x-1.000000x1.236680x1.236680x1.24x7.707%7.71%9.531%9.53%-1.000000x-1.000000x1.229327x1.229327x1.23x5.499%5.50%6.760%6.76%14-1.000000x-1.000000x1.219351x1.219351x1.22x6.887%6.89%8.397%8.40%15-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.214505x1.214505x1.21x16.245%16.2%19.730%19.7%16-1.000000x-1.000000x1.207489x1.207489x1.21x6.484%6.48%7.830%7.83%17-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%18-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%19-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%20-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%21-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%22-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%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-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.104897x1.104897x1.10x5.834%5.83%6.446%6.45%26-1.000000x-1.000000x1.104741x1.104741x1.10x6.724%6.72%7.428%7.43%27-1.000000x-1.000000x1.077248x1.077248x1.08x4.329%4.33%4.663%4.66%28-1.000000x-1.000000x1.069954x1.069954x1.07x17.920%17.9%19.173%19.2%29-1.000000x-1.000000x1.063348x1.063348x1.06x9.653%9.65%10.265%10.3%30-1.000000x-1.000000x1.059381x1.059381x1.06x6.918%6.92%7.329%7.33%31-1.000000x-1.000000x1.056613x1.056613x1.06x5.903%5.90%6.237%6.24%32-1.000000x-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%33-1.000000x-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%34-1.000000x-1.000000x1.022109x1.022109x1.02x2.704%2.70%2.764%2.76%35-1.000000x-1.000000x1.018058x1.018058x1.02x8.641%8.64%8.797%8.80%36-1.000000x-1.000000x1.015610x1.015610x1.02x8.765%8.76%8.902%8.90%37-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%38-1.000000x-1.000000x1.004509x1.004509x1.00x11.618%11.6%11.670%11.7%39-1.001253x-1.001253x1.00x1.000000x1.000000x5.867%5.87%5.859%5.86%40-1.016031x-1.016031x1.02x1.000000x1.000000x8.734%8.73%8.596%8.60%41-1.022158x-1.022158x1.02x1.000000x1.000000x3.997%4.00%3.910%3.91%42-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%43-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%44-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%45-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%46-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%47-1.237978x-1.237978x1.24x1.000000x1.000000x6.794%6.79%5.488%5.49%48-1.368790x-1.368790x1.37x1.000000x1.000000x9.414%9.41%6.877%6.88%49-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#56

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Green Bay, selected other county subdivisions in Wisconsin, and entities that contain Green Bay
Female
Male
1x0x1x2x3xFM#NeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayGreen BayBeloitStevens PointWausauFitchburgSun PrairieEau ClaireOshkoshAppletonBrownFond du LacGreen BayNew BerlinWest AllisWauwatosaWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocFranklinLa CrosseS MilwaukeeMiddletonMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaOconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-1.000000x-1.000000x3.129204x3.129204x3.13x1.585%1.59%4.960%4.96%1-1.000000x-1.000000x2.927208x2.927208x2.93x1.353%1.35%3.961%3.96%2-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%3-1.000000x-1.000000x2.628013x2.628013x2.63x2.819%2.82%7.408%7.41%4-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%5-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%6-1.000000x-1.000000x2.492011x2.492011x2.49x0.802%0.80%1.999%2.00%7-1.000000x-1.000000x2.351130x2.351130x2.35x3.588%3.59%8.437%8.44%8-1.000000x-1.000000x2.345235x2.345235x2.35x6.743%6.74%15.813%15.8%9-1.000000x-1.000000x2.320788x2.320788x2.32x0.952%0.95%2.209%2.21%10-1.000000x-1.000000x2.236989x2.236989x2.24x0.541%0.54%1.209%1.21%11-1.000000x-1.000000x2.147202x2.147202x2.15x0.747%0.75%1.604%1.60%12-1.000000x-1.000000x2.134058x2.134058x2.13x1.646%1.65%3.514%3.51%13-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%14-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%15-1.000000x-1.000000x2.005610x2.005610x2.01x1.223%1.22%2.453%2.45%16-1.000000x-1.000000x1.994529x1.994529x1.99x3.154%3.15%6.290%6.29%17-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%18-1.000000x-1.000000x1.808864x1.808864x1.81x5.081%5.08%9.190%9.19%19-1.000000x-1.000000x1.806537x1.806537x1.81x2.381%2.38%4.302%4.30%20-1.000000x-1.000000x1.786228x1.786228x1.79x2.083%2.08%3.720%3.72%21-1.000000x-1.000000x1.747870x1.747870x1.75x1.115%1.12%1.949%1.95%22-1.000000x-1.000000x1.733790x1.733790x1.73x2.062%2.06%3.574%3.57%23-1.000000x-1.000000x1.733262x1.733262x1.73x1.524%1.52%2.641%2.64%-1.000000x-1.000000x1.728996x1.728996x1.73x1.083%1.08%1.873%1.87%24-1.000000x-1.000000x1.720824x1.720824x1.72x1.386%1.39%2.385%2.38%-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%25-1.000000x-1.000000x1.693783x1.693783x1.69x0.936%0.94%1.585%1.59%26-1.000000x-1.000000x1.663311x1.663311x1.66x6.193%6.19%10.301%10.3%27-1.000000x-1.000000x1.632200x1.632200x1.63x0.991%0.99%1.617%1.62%28-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557391x1.557391x1.56x1.833%1.83%2.855%2.85%29-1.000000x-1.000000x1.550147x1.550147x1.55x1.851%1.85%2.870%2.87%30-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.516809x1.516809x1.52x1.222%1.22%1.853%1.85%31-1.000000x-1.000000x1.494707x1.494707x1.49x0.918%0.92%1.372%1.37%32-1.000000x-1.000000x1.475485x1.475485x1.48x2.501%2.50%3.691%3.69%33-1.000000x-1.000000x1.473120x1.473120x1.47x3.888%3.89%5.727%5.73%34-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%35-1.000000x-1.000000x1.452651x1.452651x1.45x8.299%8.30%12.055%12.1%36-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%37-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%38-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%39-1.000000x-1.000000x1.363936x1.363936x1.36x2.638%2.64%3.598%3.60%40-1.000000x-1.000000x1.256412x1.256412x1.26x2.128%2.13%2.674%2.67%41-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%42-1.000000x-1.000000x1.211592x1.211592x1.21x2.722%2.72%3.299%3.30%43-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%44-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%45-1.000000x-1.000000x1.014900x1.014900x1.01x1.677%1.68%1.702%1.70%46-1.000000x-1.000000x1.008002x1.008002x1.01x2.236%2.24%2.254%2.25%47-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%48-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%49-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Green Bay, selected other county subdivisions in the Midwest, and entities that contain Green Bay
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaGreen BayGreen BayKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsGreen Bay Metro AreaGreen BayWisconsinCapital TownshipCapitalBrown CountyBrownWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.535944%12.535944%12.5%8,41412.535944%12.535944%12.5%8,41412.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123348.685969%8.685969%8.7%18,36918.4k8.637220%8.637220%8.6%336,096336k8.623103%8.623103%8.6%6,837358.601954%8.601954%8.6%14,60514.6k8.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Green Bay, selected other county subdivisions in the Midwest, and entities that contain Green Bay
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralWisconsinBrown CountyBrownSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoGreen Bay Metro AreaGreen BayWorth TownshipWorthGreen BayGreen BayMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.243623%28.243623%28.2%47,95448.0k27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.916521%25.916521%25.9%54,80854.8k25.217641%25.217641%25.2%26,38926.4k3524.139215%24.139215%24.1%16,20216.2k24.139215%24.139215%24.1%16,20216.2k23.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Green Bay, selected other county subdivisions in the Midwest, and entities that contain Green Bay
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleBrown CountyBrownRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandGreen Bay Metro AreaGreen BayGreen BayGreen BayToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.703886%2.703886%2.7%105,215105k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.072008%2.072008%2.1%3,5182.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.879146%1.879146%1.9%3,9741.777440%1.777440%1.8%1,1931.777440%1.777440%1.8%1,1931.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#60

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Green Bay, selected other county subdivisions in the Midwest, and entities that contain Green Bay
Female
Male
1x0x1xFM#Green BayGreen BayGreen BayCedar RapidsLincolnDetroitBrownOmahaToledoWisconsinThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%-1.000000x-1.000000x1.245810x1.245810x1.25x7.746%7.75%9.650%9.65%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.236680x1.236680x1.24x7.707%7.71%9.531%9.53%-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#61

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Green Bay, selected other county subdivisions in the Midwest, and entities that contain Green Bay
Female
Male
1x0x1x2xFM#RockfordNGreen BayGreen BayDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldBrownOverland ParkGreen BayMiltonGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.733262x1.733262x1.73x1.524%1.52%2.641%2.64%-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.720824x1.720824x1.72x1.386%1.39%2.385%2.38%-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Green Bay, selected other county subdivisions in the United States, and entities that contain Green Bay
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoGreen BayGreen BayTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaSeattleGreen Bay Metro AreaGreen BayWisconsinBrown CountyBrownNortheast TarrantNE TarrantPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.535944%12.535944%12.5%8,41412.535944%12.535944%12.5%8,41412.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.685969%8.685969%8.7%18,36918.4k8.637220%8.637220%8.6%336,096336k8.601954%8.601954%8.6%14,60514.6k8.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Green Bay, selected other county subdivisions in the United States, and entities that contain Green Bay
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…WisconsinBrown CountyBrownSacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiGreen Bay Metro AreaGreen BayFort WorthGreen BayGreen BaySouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.373439%28.373439%28.4%1,104,0821.10M28.243623%28.243623%28.2%47,95448.0k28.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4025.916521%25.916521%25.9%54,80854.8k24.665414%24.665414%24.7%131,349131k4124.139215%24.139215%24.1%16,20216.2k24.139215%24.139215%24.1%16,20216.2k23.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#64

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Green Bay, selected other county subdivisions in the United States, and entities that contain Green Bay
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasBrown CountyBrownMilwaukeeGreen Bay Metro AreaGreen BaySan BernardinoSan Antonio CentralSan Antonio CntrlGreen BayGreen BayEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.703886%2.703886%2.7%105,215105k2.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.072008%2.072008%2.1%3,5182.043126%2.043126%2.0%7,455441.879146%1.879146%1.9%3,9741.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.777440%1.777440%1.8%1,1931.777440%1.777440%1.8%1,1931.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#65

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Green Bay, selected other county subdivisions in the United States, and entities that contain Green Bay
Female
Male
1x0x1xFM#Green BayGreen Bay1, CharlotteGreen BayDetroitBrownWisconsinBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.245810x1.245810x1.25x7.746%7.75%9.650%9.65%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.236680x1.236680x1.24x7.707%7.71%9.531%9.53%-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#66

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Green Bay, selected other county subdivisions in the United States, and entities that contain Green Bay
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityGreen BayGreen BayPlanoBrownGreen BayTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.733262x1.733262x1.73x1.524%1.52%2.641%2.64%-1.000000x-1.000000x1.720824x1.720824x1.72x1.386%1.39%2.385%2.38%-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Wisconsin
County:
Brown
Metro Area:
Green Bay Area
City:
Green Bay
ZIP Codes:
54155, 54229, 54301, 54302, 54303, 54304, 54311, 54313
Unified School Districts:
Ashwaubenon, Green Bay, Howard-Suamico, Pulaski, West De Pere
Neighborhoods:
Astor, Astor East River, Baird Creek, Colburn, Downtown, East Shore Drive, Firemans Park, Fisk Addition, Fort Howard, Imperial Pride, Joannes Park, John Muir Park, Lombardi, MacArthur Heights, Maple Arches, Marquette Park, Mather Heights, McAuliffe Park, Navarino, Nicollet Drive, Northwest Railway Gardens, Oak Grove, Olde North, Olde Norwood, Perkins Park Area, Red Smith, Schmitt Park, Seymour Park, Starlite, Tank Park, Three Corners, Unified South Broadway, Wilder Park
Congressional District:
WI-8
State Senate Districts:
WI-1, WI-2, WI-30
Assembly Districts:
WI-1, WI-4, WI-88, WI-90
Neighboring Towns:
Eaton, Humboldt, Scott
Nearby Towns:
Glenmore, Green Bay, Lawrence, Ledgeview, New Denmark, Oneida, Pittsfield, Rockland