Educational Attainment in the Exeter Township, Monroe County, Michigan (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Monroe County and the Exeter Township
Exeter Township
Monroe County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma221.714502%29.618947%21.714502%21.7%57567.371601%60.817094%67.371601%67.4%1,78410.913897%9.563959%10.913897%10.9%289
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 Monroe County at large.
Scope: population of Monroe County and the Exeter Township
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-26.687124%-26.687124%-26.7%21.715%21.7%29.619%29.6%10.777409%10.777409%+10.8%67.372%67.4%60.817%60.8%14.114847%14.114847%+14.1%10.914%10.9%9.564%9.56%
% percentage with given level in the Exeter Township
ref. percentage with given level in Monroe 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 Monroe County and the Exeter Township
Exeter Township
Monroe County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.113293%0.355971%0.113293%0.1%30.302115%0.727378%0.302115%0.3%83.096677%4.918966%3.096677%3.1%8210.498489%12.797608%10.498489%10.5%2787.703927%10.819024%7.703927%7.7%20430.249245%24.697087%30.249245%30.2%80137.122356%36.120008%37.122356%37.1%9837.779456%7.159946%7.779456%7.8%2062.454683%1.599460%2.454683%2.5%650.679758%0.804553%0.679758%0.7%18
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 Monroe County at large.
Scope: population of Monroe County and the Exeter Township
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-68.173556%-68.173556%-68.2%0.113%0.11%0.356%0.36%-58.465225%-58.465225%-58.5%0.302%0.30%0.727%0.73%-37.046183%-37.046183%-37.0%3.097%3.10%4.919%4.92%-17.965218%-17.965218%-18.0%10.498%10.5%12.798%12.8%-28.792766%-28.792766%-28.8%7.704%7.70%10.819%10.8%22.481024%22.481024%+22.5%30.249%30.2%24.697%24.7%2.775051%2.775051%+2.8%37.122%37.1%36.120%36.1%8.652443%8.652443%+8.7%7.779%7.78%7.160%7.16%53.469492%53.469492%+53.5%2.455%2.45%1.599%1.60%-15.511096%-15.511096%-15.5%0.680%0.68%0.805%0.80%
% percentage with given level in the Exeter Township
ref. percentage with given level in Monroe 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 Monroe County and the Exeter Township
More Females More Males
Monroe County
Exeter Township
50%0%50%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-59.105058%-17.375245%-59.105058%59%26.848%26.8%16.875%16.9%7.875021%7.223753%7.875021%8%64.747%64.7%69.846%69.8%58.001821%5.129269%58.001821%58%8.405%8.40%13.280%13.3%
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 Monroe County and the Exeter Township
More Females More Males
Monroe County
Exeter Township
1k%0k%1k%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%3.522560%1,000.000000%> 1000%0.000%0%0.220%0.22%559.941306%54.024343%559.941306%1k%0.078%0.08%0.514%0.51%-1,000.000000%-53.088538%-1,000.000000%> 1000%6.070%6.07%0.293%0.29%-66.962098%-66.962098%0k%3.207026%13.230%13.2%7.924%7.92%-37.512186%6.061996%6.061996%0k%7.471%7.47%7.924%7.92%-18.104371%-18.104371%0k%9.871878%32.840%32.8%27.806%27.8%31.758316%5.450121%31.758316%0k%31.907%31.9%42.040%42.0%28.954048%8.158632%28.954048%0k%6.770%6.77%8.731%8.73%-12.717634%486.614494%486.614494%0k%0.700%0.70%4.109%4.11%-112.140078%-112.140078%0k%14.304391%0.934%0.93%0.440%0.44%
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 Monroe County and the Exeter Township
Exeter Township
Monroe County
0%5%10%15%20%B.X.Total65+45-6435-4425-343.144654%8.573248%3.144654%3.1%154777.097232%12.696938%7.097232%7.1%1001,40924.161074%14.870172%24.161074%24.2%10844717.460317%16.779211%17.460317%17.5%55315
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 Monroe County at large.
Scope: population of Monroe County and the Exeter Township
60%40%20%0%20%40%60%%ref.65+45-6435-4425-34-63.320157%-63.320157%63.3%3.145%3.14%8.573%8.57%-44.102804%-44.102804%44.1%7.097%7.10%12.697%12.7%62.480119%62.480119%62.5%24.161%24.2%14.870%14.9%4.059226%4.059226%4.1%17.460%17.5%16.779%16.8%
% percentage in the Exeter Township with a Bachelor's degree
ref percentage in Monroe 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 Monroe County and the Exeter Township
More Females More Males
Monroe County
Exeter Township
800%600%400%200%0%FM65+45-6435-4425-3457.081545%92.208221%57.081545%57.1%2.459%2.46%3.863%3.86%50.037888%7.828607%50.037888%50.0%5.606%5.61%8.411%8.41%-112.439024%-29.902293%-112.439024%112.4%31.707%31.7%14.925%14.9%-988.888889%-34.906775%-988.888889%988.9%36.296%36.3%3.333%3.33%
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 Monroe County and the Exeter Township
Exeter Township
Monroe County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$61,250.000000$64,402.000000$61,250.000000$61.3k933.512%3.51%$38,056.000000$54,463.000000$38,056.000000$38.1k27810.498%10.5%$36,786.000000$36,954.000000$36,786.000000$36.8k1,00537.953%38.0%$40,000.000000$31,984.000000$40,000.000000$40.0k98337.122%37.1%$61,635.000000$19,735.000000$61,635.000000$61.6k28910.914%10.9%$40,943.000000$39,020.000000$40,943.000000$40.9k2,648100.000%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 Monroe County and the Exeter Township
Female Male
Monroe County
Exeter Township
Shaded bar tips show excess over facing bar.
$50k$0k$50k$100kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-60,288.000000$-56,201.000000$-60,288.000000$60.3k$60,288.000000$73,462.000000$56,201.000000$25,498.000000$133,750.000000$133.8k7914$-32,689.000000$-42,094.000000$-32,689.000000$32.7k$32,689.000000$58,561.000000$42,094.000000$24,102.000000$91,250.000000$91.3k170108$-30,697.000000$-26,228.000000$-30,697.000000$30.7k$30,697.000000$13,954.000000$26,228.000000$24,771.000000$44,651.000000$44.7k518487$-22,470.000000$-21,732.000000$-22,470.000000$22.5k$22,470.000000$30,502.000000$21,732.000000$22,859.000000$52,972.000000$53.0k410573$-30,592.000000$-27,560.000000$-30,592.000000$30.6k$30,592.000000$22,560.000000$27,560.000000$23,088.000000$53,152.000000$53.2k1,2851,363
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

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Monroe County and the Exeter Township
Exeter Township
Monroe County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.588921%84.074898%86.588921%86.6%29760.670391%76.811827%60.670391%60.7%54353.530167%62.212936%53.530167%53.5%41726.623377%40.995967%26.623377%26.6%41
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#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Monroe County and the Exeter Township
Female Male
Monroe County
Exeter Township
Shaded bar tips show excess over facing bar.
80%60%40%20%0%MFWhite1BlackOther1-7.741935%-8.941449%-7.741935%7.7%7.741935%6.680375%8.941449%0.180852%14.422311%14.4%18196-0.000000%-11.111111%-5.739300%-11.111111%11.1%0.000000%5.739300%7.278452%0.000000%0.0%04-0.000000%-88.888889%-17.042254%-4.702538%-88.888889%88.9%0.000000%17.042254%0.000000%0.0%08
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Monroe County and the Exeter Township
Female Male
Monroe County
Exeter Township
Shaded bar tips show excess over facing bar.
0%20%40%60%MFWhite1BlackOther1-9.322709%-10.435355%-18.293329%-1.355486%-19.758065%19.8%9.322709%18.293329%9.322709%9.3%117245-0.000000%-8.333333%-9.664694%-4.829469%-8.333333%8.3%0.000000%9.664694%0.000000%0.0%03-11.111111%-11.197917%-11.111111%11.1%11.111111%51.388889%11.197917%6.689407%62.500000%62.5%51
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Monroe Area

There are 21 county subdivisions in the Monroe Area. This section compares the Exeter Township to all of the county subdivisions in the Monroe Area and to those entities that contain or substantially overlap with the Exeter Township.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Exeter Township, selected other county subdivisions in the Monroe Area, and entities that contain the Exeter Township
0%5%10%Count#Monroe Charter TownshipMonroeUnited States of AmericaUnited StatesLuna PierFrenchtown TownshipFrenchtownAsh TownshipErie Township830500Tract 830500Exeter TownshipExeterEast North CentralLondon TownshipLondonMonroeMidwestSummerfield TownshipSummerfieldMichiganLa Salle TownshipLa SalleMonroe Metro AreaMonroe AreaMonroe CountyMonroeDundee TownshipDundeeBerlin Charter TownshipBerlinIda TownshipMilan TownshipMilanMilanBedford TownshipBedfordWhiteford TownshipWhitefordRaisinville TownshipRaisinvillePetersburg14.879032%14.879032%14.9%1,476113.020590%13.020590%13.0%27,818,38027.8M12.366115%12.366115%12.4%127212.304300%12.304300%12.3%1,674312.068966%12.068966%12.1%679412.062381%12.062381%12.1%379510.913897%10.913897%10.9%28910.913897%10.913897%10.9%289610.719464%10.719464%10.7%3,363,7843.36M10.685194%10.685194%10.7%223710.534568%10.534568%10.5%1,411810.244520%10.244520%10.2%4,641,8354.64M10.132967%10.132967%10.1%221910.122386%10.122386%10.1%676,467676k10.104227%10.104227%10.1%349109.563959%9.563959%9.6%9,9149.563959%9.563959%9.6%9,9148.229942%8.229942%8.2%398117.877680%7.877680%7.9%474127.807548%7.807548%7.8%271137.517483%7.517483%7.5%86147.337368%7.337368%7.3%97156.269506%6.269506%6.3%1,366165.296804%5.296804%5.3%174175.007665%5.007665%5.0%196183.003755%3.003755%3.0%2419
Count number of people in category
# rank of county subdivision out of 19 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Exeter Township, selected other county subdivisions in the Monroe Area, and entities that contain the Exeter Township
0%10%20%30%Count#United States of AmericaUnited StatesMidwestEast North CentralMichiganBedford TownshipBedfordMilan TownshipMilanDundee TownshipDundeeMilanWhiteford TownshipWhitefordMonroeMonroe Metro AreaMonroe AreaMonroe CountyMonroeIda TownshipPetersburgLuna PierMonroe Charter TownshipMonroeBerlin Charter TownshipBerlinSummerfield TownshipSummerfieldLa Salle TownshipLa SalleFrenchtown TownshipFrenchtownAsh TownshipRaisinville TownshipRaisinville830500Tract 830500Exeter TownshipExeterErie TownshipLondon TownshipLondon30.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.410304%27.410304%27.4%1,831,7981.83M24.697081%24.697081%24.7%5,381124.650350%24.650350%24.7%282222.291150%22.291150%22.3%1,078320.877458%20.877458%20.9%276420.273973%20.273973%20.3%666519.262356%19.262356%19.3%2,580618.799923%18.799923%18.8%19,48819.5k18.799923%18.799923%18.8%19,48819.5k18.640161%18.640161%18.6%647717.897372%17.897372%17.9%143817.721519%17.721519%17.7%182917.530242%17.530242%17.5%1,7391017.500415%17.500415%17.5%1,0531117.148097%17.148097%17.1%3741216.328894%16.328894%16.3%5641315.494304%15.494304%15.5%2,1081414.610736%14.610736%14.6%8221514.282064%14.282064%14.3%5591614.010574%14.010574%14.0%37114.010574%14.010574%14.0%3711713.526416%13.526416%13.5%4251811.403929%11.403929%11.4%23819
Count number of people in category
# rank of county subdivision out of 19 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Exeter Township, selected other county subdivisions in the Monroe Area, and entities that contain the Exeter Township
0%1%2%3%Count#United States of AmericaUnited StatesMidwestEast North CentralMichiganLuna PierMilan TownshipMilanLa Salle TownshipLa SalleIda TownshipMonroeMonroe Charter TownshipMonroeBerlin Charter TownshipBerlinBedford TownshipBedfordPetersburgMonroe Metro AreaMonroe AreaMonroe CountyMonroeErie TownshipAsh TownshipFrenchtown TownshipFrenchtownMilanSummerfield TownshipSummerfield830500Tract 830500Exeter TownshipExeterWhiteford TownshipWhitefordRaisinville TownshipRaisinvilleLondon TownshipLondonDundee TownshipDundee3.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.809013%2.809013%2.8%187,723188k1.947420%1.947420%1.9%2011.835664%1.835664%1.8%2121.650261%1.650261%1.7%5731.613368%1.613368%1.6%5641.530536%1.530536%1.5%20551.320565%1.320565%1.3%13161.279707%1.279707%1.3%7771.184138%1.184138%1.2%25881.126408%1.126408%1.1%991.083349%1.083349%1.1%1,1231.083349%1.083349%1.1%1,1231.082113%1.082113%1.1%34101.066477%1.066477%1.1%60110.977582%0.977582%1.0%133120.832073%0.832073%0.8%11130.504356%0.504356%0.5%11140.415408%0.415408%0.4%110.415408%0.415408%0.4%11150.243531%0.243531%0.2%8160.229944%0.229944%0.2%9170.191663%0.191663%0.2%4180.165426%0.165426%0.2%819
Count number of people in category
# rank of county subdivision out of 19 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

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 the Exeter Township, selected other county subdivisions in the Monroe Area, and entities that contain the Exeter Township
Female
Male
1x0x1x2xFM#RaisinvilleErie TownshipLuna PierIda TownshipTract 830500ExeterLondonLa SalleBerlinMilanBedfordMichiganMidwestEast North CentralMonroeUnited StatesPetersburgMonroe AreaMonroeMilanSummerfieldFrenchtownDundeeAsh TownshipWhitefordMonroe-1.000000x-1.000000x2.207228x2.207228x2.21x3.107%3.11%6.858%6.86%1-1.000000x-1.000000x1.773219x1.773219x1.77x8.676%8.68%15.385%15.4%2-1.000000x-1.000000x1.677178x1.677178x1.68x9.182%9.18%15.399%15.4%3-1.000000x-1.000000x1.650782x1.650782x1.65x5.922%5.92%9.776%9.78%4-1.000000x-1.000000x1.580018x1.580018x1.58x8.405%8.40%13.280%13.3%-1.000000x-1.000000x1.580018x1.580018x1.58x8.405%8.40%13.280%13.3%5-1.000000x-1.000000x1.529687x1.529687x1.53x8.445%8.45%12.919%12.9%6-1.000000x-1.000000x1.453608x1.453608x1.45x8.189%8.19%11.903%11.9%7-1.000000x-1.000000x1.300493x1.300493x1.30x6.806%6.81%8.852%8.85%8-1.000000x-1.000000x1.271105x1.271105x1.27x6.466%6.47%8.219%8.22%9-1.000000x-1.000000x1.270800x1.270800x1.27x5.549%5.55%7.051%7.05%10-1.000000x-1.000000x1.145031x1.145031x1.15x9.461%9.46%10.834%10.8%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.112247x1.112247x1.11x14.144%14.1%15.731%15.7%11-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.064599x1.064599x1.06x2.913%2.91%3.101%3.10%12-1.000000x-1.000000x1.051293x1.051293x1.05x9.332%9.33%9.811%9.81%-1.000000x-1.000000x1.051293x1.051293x1.05x9.332%9.33%9.811%9.81%-1.000000x-1.000000x1.038155x1.038155x1.04x7.383%7.38%7.664%7.66%13-1.030021x-1.030021x1.03x1.000000x1.000000x10.291%10.3%9.991%9.99%14-1.111200x-1.111200x1.11x1.000000x1.000000x12.918%12.9%11.625%11.6%15-1.115723x-1.115723x1.12x1.000000x1.000000x8.673%8.67%7.773%7.77%16-1.130712x-1.130712x1.13x1.000000x1.000000x12.778%12.8%11.300%11.3%17-1.274973x-1.274973x1.27x1.000000x1.000000x5.925%5.92%4.647%4.65%18-1.572457x-1.572457x1.57x1.000000x1.000000x12.650%12.7%8.045%8.04%19
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 19 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

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 the Exeter Township, selected other county subdivisions in the Monroe Area, and entities that contain the Exeter Township
Female
Male
10x5x0x5x10xFM#DundeeRaisinvilleWhitefordMilanTract 830500ExeterBerlinAsh TownshipMonroePetersburgMichiganEast North CentralMidwestUnited StatesLa SalleMonroeMonroe AreaMonroeIda TownshipFrenchtownBedfordLuna PierMilanSummerfieldErie TownshipLondon-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.336%0.34%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.454%0.45%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.496%0.50%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.674%1.67%4-1.000000x-1.000000x9.427733x9.427733x9.43x0.078%0.08%0.734%0.73%-1.000000x-1.000000x9.427733x9.427733x9.43x0.078%0.08%0.734%0.73%5-1.000000x-1.000000x3.465359x3.465359x3.47x0.558%0.56%1.935%1.94%6-1.000000x-1.000000x2.743086x2.743086x2.74x0.581%0.58%1.593%1.59%7-1.000000x-1.000000x2.478463x2.478463x2.48x0.911%0.91%2.259%2.26%8-1.000000x-1.000000x2.129199x2.129199x2.13x0.728%0.73%1.550%1.55%9-1.000000x-1.000000x1.645347x1.645347x1.65x2.143%2.14%3.526%3.53%-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-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.388619x1.388619x1.39x1.375%1.37%1.909%1.91%10-1.000000x-1.000000x1.370772x1.370772x1.37x1.127%1.13%1.545%1.54%11-1.000000x-1.000000x1.349459x1.349459x1.35x0.926%0.93%1.250%1.25%-1.000000x-1.000000x1.349459x1.349459x1.35x0.926%0.93%1.250%1.25%-1.028639x-1.028639x1.03x1.000000x1.000000x1.636%1.64%1.590%1.59%12-1.035373x-1.035373x1.04x1.000000x1.000000x0.994%0.99%0.960%0.96%13-1.060321x-1.060321x1.06x1.000000x1.000000x1.217%1.22%1.148%1.15%14-1.283211x-1.283211x1.28x1.000000x1.000000x2.196%2.20%1.711%1.71%15-1.494128x-1.494128x1.49x1.000000x1.000000x2.181%2.18%1.460%1.46%16-5.028641x-5.028641x5.03x1.000000x1.000000x0.874%0.87%0.174%0.17%17-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.185%2.19%0.000%0%18-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.384%0.38%0.000%0%19
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 19 by male-to-female sex ratio

Educational Attainment by County Subdivision in Michigan

There are 1,578 county subdivisions in Michigan. This section compares the Exeter Township to the 50 most populous county subdivisions in Michigan and to those entities that contain or substantially overlap with the Exeter Township. The least populous of the compared county subdivisions has a population of 36,008.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Exeter Township, selected other county subdivisions in Michigan, and entities that contain the Exeter Township
0%5%10%15%20%Count#PontiacDetroitLincoln ParkSaginawDearbornMuskegonFlintHolland Charter TownshipHollandTaylorWyomingWarrenGrand RapidsRosevilleSterling HeightsSterling HtsDearborn HeightsDearborn HtsUnited States of AmericaUnited StatesRedford Charter TownshipRedfordWestlandLansingKentwood830500Tract 830500Exeter TownshipExeterEast North CentralMidwestMichiganBattle CreekClinton Charter TownshipClintonMonroe Metro AreaMonroe AreaMonroe CountyMonroeKalamazooYpsilanti Charter TownshipYpsilantiShelby Charter TownshipShelbyWaterford Charter TownshipWaterfordChesterfield TownshipChesterfieldSt. Clair ShoresSt. Clair ShrsPittsfield Charter TownshipPittsfieldSouthfieldMacomb TownshipMacombTroyLivoniaSaginaw Charter TownshipSaginawCommerce Charter TownshipCommerceIndependence Charter TownshipIndependenceWest Bloomfield Charter TownshipW BloomfieldCanton Charter TownshipCantonFarmington HillsFarmington HlsNoviOrion Charter TownshipOrionMidlandGeorgetown Charter TownshipGeorgetownPortageRochester HillsRochester HlsMeridian Charter TownshipMeridianGrand Blanc Charter TownshipGrand BlancRoyal OakAnn ArborEast LansingBloomfield Charter TownshipBloomfield21.373963%21.373963%21.4%7,884121.003600%21.003600%21.0%90,67890.7k220.585027%20.585027%20.6%5,095320.438096%20.438096%20.4%6,410419.742370%19.742370%19.7%11,37211.4k516.999519%16.999519%17.0%4,239616.821517%16.821517%16.8%10,50110.5k716.250968%16.250968%16.3%3,779816.206399%16.206399%16.2%6,737915.751143%15.751143%15.8%7,6131015.286174%15.286174%15.3%14,05914.1k1114.563179%14.563179%14.6%17,64317.6k1213.556370%13.556370%13.6%4,4371313.132171%13.132171%13.1%12,21212.2k1413.107879%13.107879%13.1%4,8761513.020590%13.020590%13.0%27,818,38027.8M12.255521%12.255521%12.3%3,9791612.241313%12.241313%12.2%7,0391711.526042%11.526042%11.5%8,0311811.382139%11.382139%11.4%3,7471910.913897%10.913897%10.9%28910.913897%10.913897%10.9%28910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.122386%10.122386%10.1%676,467676k10.019495%10.019495%10.0%3,392209.968068%9.968068%10.0%7,055219.563959%9.563959%9.6%9,9149.563959%9.563959%9.6%9,9149.488289%9.488289%9.5%3,727229.094276%9.094276%9.1%3,192238.716124%8.716124%8.7%4,776248.259673%8.259673%8.3%4,261258.254939%8.254939%8.3%2,457267.758389%7.758389%7.8%3,468277.601345%7.601345%7.6%1,877287.268247%7.268247%7.3%3,805296.500832%6.500832%6.5%3,596306.144582%6.144582%6.1%3,592315.851570%5.851570%5.9%4,059325.773964%5.773964%5.8%1,642335.638177%5.638177%5.6%1,634345.571180%5.571180%5.6%1,347355.524850%5.524850%5.5%2,569365.269160%5.269160%5.3%3,142374.930117%4.930117%4.9%2,896384.747842%4.747842%4.7%1,881394.506429%4.506429%4.5%1,097404.447612%4.447612%4.4%1,248414.387968%4.387968%4.4%1,345424.107662%4.107662%4.1%1,314434.098684%4.098684%4.1%2,080443.885214%3.885214%3.9%1,075453.548059%3.548059%3.5%873463.474411%3.474411%3.5%1,554473.157717%3.157717%3.2%2,057483.051958%3.051958%3.1%410492.411649%2.411649%2.4%73750
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#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Exeter Township, selected other county subdivisions in Michigan, and entities that contain the Exeter Township
0%20%40%60%Count#Ann ArborEast LansingBloomfield Charter TownshipBloomfieldMeridian Charter TownshipMeridianNoviTroyWest Bloomfield Charter TownshipW BloomfieldRochester HillsRochester HlsPittsfield Charter TownshipPittsfieldRoyal OakFarmington HillsFarmington HlsCanton Charter TownshipCantonCommerce Charter TownshipCommerceOrion Charter TownshipOrionMidlandPortageIndependence Charter TownshipIndependenceGrand Blanc Charter TownshipGrand BlancSouthfieldLivoniaGeorgetown Charter TownshipGeorgetownSaginaw Charter TownshipSaginawMacomb TownshipMacombKalamazooShelby Charter TownshipShelbyGrand RapidsKentwoodUnited States of AmericaUnited StatesYpsilanti Charter TownshipYpsilantiMidwestDearbornEast North CentralSterling HeightsSterling HtsMichiganWaterford Charter TownshipWaterfordLansingSt. Clair ShoresSt. Clair ShrsHolland Charter TownshipHollandChesterfield TownshipChesterfieldClinton Charter TownshipClintonBattle CreekWyomingDearborn HeightsDearborn HtsRedford Charter TownshipRedfordWestlandMonroe Metro AreaMonroe AreaMonroe CountyMonroeWarren830500Tract 830500Exeter TownshipExeterDetroitPontiacRosevilleMuskegonSaginawFlintTaylorLincoln Park72.810169%72.810169%72.8%47,43047.4k172.271848%72.271848%72.3%9,709271.384162%71.384162%71.4%21,81521.8k365.119809%65.119809%65.1%18,01818.0k458.268969%58.268969%58.3%23,08523.1k557.983510%57.983510%58.0%33,89633.9k657.534571%57.534571%57.5%26,75326.8k755.316466%55.316466%55.3%28,07228.1k855.108735%55.108735%55.1%13,60813.6k954.354193%54.354193%54.4%24,31124.3k1053.361366%53.361366%53.4%31,34531.3k1148.829448%48.829448%48.8%29,11729.1k1243.393948%43.393948%43.4%12,57612.6k1343.141766%43.141766%43.1%10,50210.5k1443.025659%43.025659%43.0%12,07312.1k1542.148864%42.148864%42.1%13,48313.5k1641.790057%41.790057%41.8%10,10410.1k1738.386507%38.386507%38.4%9,4451836.811140%36.811140%36.8%19,27119.3k1936.281464%36.281464%36.3%25,16725.2k2035.217930%35.217930%35.2%10,79510.8k2134.939166%34.939166%34.9%9,9362233.934124%33.934124%33.9%18,77118.8k2333.431772%33.431772%33.4%13,13213.1k2433.169085%33.169085%33.2%18,17518.2k2532.904381%32.904381%32.9%39,86339.9k2631.594775%31.594775%31.6%10,40110.4k2730.315023%30.315023%30.3%64,767,78764.8M29.989458%29.989458%30.0%10,52610.5k2828.952816%28.952816%29.0%13,118,64213.1M28.929551%28.929551%28.9%16,66416.7k2928.462853%28.462853%28.5%8,931,6868.93M27.532180%27.532180%27.5%25,60325.6k3027.410304%27.410304%27.4%1,831,7981.83M26.713577%26.713577%26.7%13,78113.8k3125.691405%25.691405%25.7%17,90117.9k3224.402685%24.402685%24.4%10,90810.9k3323.974370%23.974370%24.0%5,5753423.061416%23.061416%23.1%6,8643521.521420%21.521420%21.5%15,23215.2k3621.155550%21.155550%21.2%7,1623720.456003%20.456003%20.5%9,8873820.398398%20.398398%20.4%7,5883919.274956%19.274956%19.3%6,2584018.863692%18.863692%18.9%10,84710.8k4118.799923%18.799923%18.8%19,48819.5k18.799923%18.799923%18.8%19,48819.5k17.280259%17.280259%17.3%15,89315.9k4214.010574%14.010574%14.0%37114.010574%14.010574%14.0%37113.833543%13.833543%13.8%59,72359.7k4312.050643%12.050643%12.1%4,4454411.655973%11.655973%11.7%3,8154511.649824%11.649824%11.6%2,9054611.354143%11.354143%11.4%3,5614711.202063%11.202063%11.2%6,9934810.380082%10.380082%10.4%4,315498.601673%8.601673%8.6%2,12950
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#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Exeter Township, selected other county subdivisions in Michigan, and entities that contain the Exeter Township
0%5%10%15%Count#East LansingAnn ArborMeridian Charter TownshipMeridianBloomfield Charter TownshipBloomfieldWest Bloomfield Charter TownshipW BloomfieldPittsfield Charter TownshipPittsfieldTroyRoyal OakRochester HillsRochester HlsFarmington HillsFarmington HlsMidlandNoviCanton Charter TownshipCantonKalamazooGrand Blanc Charter TownshipGrand BlancSaginaw Charter TownshipSaginawPortageIndependence Charter TownshipIndependenceCommerce Charter TownshipCommerceUnited States of AmericaUnited StatesGrand RapidsShelby Charter TownshipShelbyYpsilanti Charter TownshipYpsilantiSouthfieldDearbornMidwestEast North CentralLivoniaLansingMichiganOrion Charter TownshipOrionKentwoodDearborn HeightsDearborn HtsHolland Charter TownshipHollandGeorgetown Charter TownshipGeorgetownMacomb TownshipMacombSt. Clair ShoresSt. Clair ShrsRedford Charter TownshipRedfordBattle CreekWaterford Charter TownshipWaterfordSterling HeightsSterling HtsClinton Charter TownshipClintonDetroitSaginawWyomingMonroe Metro AreaMonroe AreaMonroe CountyMonroeWarrenChesterfield TownshipChesterfieldFlintPontiacWestlandTaylorLincoln Park830500Tract 830500Exeter TownshipExeterMuskegonRoseville19.837725%19.837725%19.8%2,665117.877867%17.877867%17.9%11,64611.6k215.801077%15.801077%15.8%4,372315.625000%15.625000%15.6%4,775411.527130%11.527130%11.5%5,360510.176973%10.176973%10.2%2,51367.886004%7.886004%7.9%4,61076.246786%6.246786%6.2%2,79486.169701%6.169701%6.2%3,13196.063908%6.063908%6.1%3,562105.755524%5.755524%5.8%1,615115.719622%5.719622%5.7%2,266124.740902%4.740902%4.7%2,827134.274440%4.274440%4.3%1,679144.271490%4.271490%4.3%1,051154.086082%4.086082%4.1%1,162163.695020%3.695020%3.7%1,182173.457689%3.457689%3.5%836183.360823%3.360823%3.4%974193.336158%3.336158%3.3%7,127,6737.13M3.174629%3.174629%3.2%3,846203.140798%3.140798%3.1%1,721213.077011%3.077011%3.1%1,080223.073485%3.073485%3.1%1,609232.946078%2.946078%2.9%1,697242.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.848658%2.848658%2.8%1,976252.817285%2.817285%2.8%1,963262.809013%2.809013%2.8%187,723188k2.670172%2.670172%2.7%650272.545565%2.545565%2.5%838282.268878%2.268878%2.3%844292.150168%2.150168%2.2%500302.094480%2.094480%2.1%642312.050040%2.050040%2.1%1,134321.778523%1.778523%1.8%795331.583146%1.583146%1.6%514341.488746%1.488746%1.5%504351.477088%1.477088%1.5%762361.439893%1.439893%1.4%1,339371.418560%1.418560%1.4%1,004381.318660%1.318660%1.3%5,693391.195676%1.195676%1.2%375401.094490%1.094490%1.1%529411.083349%1.083349%1.1%1,1231.083349%1.083349%1.1%1,1231.047058%1.047058%1.0%963421.028088%1.028088%1.0%306430.978759%0.978759%1.0%611440.905493%0.905493%0.9%334450.893882%0.893882%0.9%514460.541256%0.541256%0.5%225470.521191%0.521191%0.5%129480.415408%0.415408%0.4%110.415408%0.415408%0.4%110.380975%0.380975%0.4%95490.372747%0.372747%0.4%12250
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#23

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 the Exeter Township, selected other county subdivisions in Michigan, and entities that contain the Exeter Township
Female
Male
2x1x0x1xFM#Tract 830500ExeterYpsilantiSouthfieldRoyal OakPortageTaylorMidlandMuskegonPontiacDetroitKentwoodRedfordKalamazooEast LansingMichiganMidwestEast North CentralLivoniaFlintUnited StatesLansingGrand RapidsBattle CreekGrand BlancLincoln ParkMonroe AreaMonroeWyomingChesterfieldWarrenWestlandNoviRosevilleSaginawMeridianSt. Clair ShrsWaterfordHollandClintonAnn ArborFarmington HlsMacombGeorgetownIndependenceW BloomfieldShelbyCantonSterling HtsPittsfieldOrionTroySaginawCommerceDearborn HtsRochester HlsDearbornBloomfield-1.000000x-1.000000x1.580018x1.580018x1.58x8.405%8.40%13.280%13.3%-1.000000x-1.000000x1.580018x1.580018x1.58x8.405%8.40%13.280%13.3%-1.000000x-1.000000x1.403216x1.403216x1.40x7.646%7.65%10.729%10.7%1-1.000000x-1.000000x1.391949x1.391949x1.39x6.236%6.24%8.680%8.68%2-1.000000x-1.000000x1.388405x1.388405x1.39x2.919%2.92%4.053%4.05%3-1.000000x-1.000000x1.318565x1.318565x1.32x3.571%3.57%4.709%4.71%4-1.000000x-1.000000x1.295390x1.295390x1.30x14.253%14.3%18.463%18.5%5-1.000000x-1.000000x1.286068x1.286068x1.29x3.926%3.93%5.049%5.05%6-1.000000x-1.000000x1.277437x1.277437x1.28x14.852%14.9%18.972%19.0%7-1.000000x-1.000000x1.253903x1.253903x1.25x19.068%19.1%23.910%23.9%8-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%9-1.000000x-1.000000x1.222098x1.222098x1.22x10.315%10.3%12.606%12.6%10-1.000000x-1.000000x1.184593x1.184593x1.18x11.279%11.3%13.361%13.4%11-1.000000x-1.000000x1.177089x1.177089x1.18x8.752%8.75%10.302%10.3%12-1.000000x-1.000000x1.159697x1.159697x1.16x2.835%2.83%3.287%3.29%13-1.000000x-1.000000x1.145031x1.145031x1.15x9.461%9.46%10.834%10.8%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.121317x1.121317x1.12x5.532%5.53%6.203%6.20%14-1.000000x-1.000000x1.112012x1.112012x1.11x15.982%16.0%17.772%17.8%15-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.096620x1.096620x1.10x11.022%11.0%12.087%12.1%16-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%17-1.000000x-1.000000x1.067968x1.067968x1.07x9.707%9.71%10.367%10.4%18-1.000000x-1.000000x1.064145x1.064145x1.06x3.443%3.44%3.664%3.66%19-1.000000x-1.000000x1.051489x1.051489x1.05x20.100%20.1%21.135%21.1%20-1.000000x-1.000000x1.051293x1.051293x1.05x9.332%9.33%9.811%9.81%-1.000000x-1.000000x1.051293x1.051293x1.05x9.332%9.33%9.811%9.81%-1.000000x-1.000000x1.051095x1.051095x1.05x15.368%15.4%16.153%16.2%21-1.000000x-1.000000x1.040317x1.040317x1.04x8.101%8.10%8.428%8.43%22-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%23-1.000000x-1.000000x1.031214x1.031214x1.03x12.069%12.1%12.446%12.4%24-1.000000x-1.000000x1.030995x1.030995x1.03x4.678%4.68%4.823%4.82%25-1.000000x-1.000000x1.026036x1.026036x1.03x13.392%13.4%13.741%13.7%26-1.000000x-1.000000x1.003192x1.003192x1.00x20.408%20.4%20.473%20.5%27-1.000000x-1.000000x1.002886x1.002886x1.00x3.880%3.88%3.891%3.89%28-1.003757x-1.003757x1.00x1.000000x1.000000x7.772%7.77%7.743%7.74%29-1.007679x-1.007679x1.01x1.000000x1.000000x8.290%8.29%8.227%8.23%30-1.018662x-1.018662x1.02x1.000000x1.000000x16.399%16.4%16.098%16.1%31-1.023120x-1.023120x1.02x1.000000x1.000000x10.071%10.1%9.844%9.84%32-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%33-1.041464x-1.041464x1.04x1.000000x1.000000x5.022%5.02%4.822%4.82%34-1.046133x-1.046133x1.05x1.000000x1.000000x6.643%6.64%6.350%6.35%35-1.062557x-1.062557x1.06x1.000000x1.000000x4.516%4.52%4.250%4.25%36-1.086976x-1.086976x1.09x1.000000x1.000000x5.794%5.79%5.331%5.33%37-1.093413x-1.093413x1.09x1.000000x1.000000x5.752%5.75%5.260%5.26%38-1.099867x-1.099867x1.10x1.000000x1.000000x9.115%9.12%8.288%8.29%39-1.113435x-1.113435x1.11x1.000000x1.000000x5.541%5.54%4.976%4.98%40-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%41-1.145999x-1.145999x1.15x1.000000x1.000000x8.082%8.08%7.052%7.05%42-1.161568x-1.161568x1.16x1.000000x1.000000x4.832%4.83%4.160%4.16%43-1.174151x-1.174151x1.17x1.000000x1.000000x6.616%6.62%5.635%5.63%44-1.175239x-1.175239x1.18x1.000000x1.000000x6.194%6.19%5.270%5.27%45-1.225630x-1.225630x1.23x1.000000x1.000000x6.192%6.19%5.052%5.05%46-1.277242x-1.277242x1.28x1.000000x1.000000x14.659%14.7%11.477%11.5%47-1.325323x-1.325323x1.33x1.000000x1.000000x4.641%4.64%3.502%3.50%48-1.376263x-1.376263x1.38x1.000000x1.000000x22.724%22.7%16.511%16.5%49-2.264209x-2.264209x2.26x1.000000x1.000000x3.256%3.26%1.438%1.44%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#24

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 the Exeter Township, selected other county subdivisions in Michigan, and entities that contain the Exeter Township
Female
Male
0x2x4x6x8xFM#Tract 830500ExeterLincoln ParkMidlandFarmington HlsOrionSt. Clair ShrsW BloomfieldDearborn HtsMuskegonGrand BlancBloomfieldWyomingKentwoodRoyal OakDearbornHollandTroySaginawClintonPortageWarrenRochester HlsShelbyLivoniaMeridianGrand RapidsMichiganNoviPittsfieldEast North CentralMidwestChesterfieldSouthfieldSaginawPontiacCantonUnited StatesAnn ArborYpsilantiWaterfordSterling HtsKalamazooEast LansingTaylorMonroe AreaMonroeLansingCommerceGeorgetownBattle CreekMacombDetroitRedfordRosevilleIndependenceWestlandFlint-1.000000x-1.000000x9.427733x9.427733x9.43x0.078%0.08%0.734%0.73%-1.000000x-1.000000x9.427733x9.427733x9.43x0.078%0.08%0.734%0.73%-1.000000x-1.000000x5.521100x5.521100x5.52x0.167%0.17%0.923%0.92%1-1.000000x-1.000000x2.784166x2.784166x2.78x3.147%3.15%8.763%8.76%2-1.000000x-1.000000x2.639048x2.639048x2.64x3.464%3.46%9.142%9.14%3-1.000000x-1.000000x2.562875x2.562875x2.56x1.520%1.52%3.896%3.90%4-1.000000x-1.000000x2.362537x2.362537x2.36x1.078%1.08%2.547%2.55%5-1.000000x-1.000000x2.324757x2.324757x2.32x7.151%7.15%16.624%16.6%6-1.000000x-1.000000x2.323042x2.323042x2.32x1.379%1.38%3.204%3.20%7-1.000000x-1.000000x2.313131x2.313131x2.31x0.226%0.23%0.523%0.52%8-1.000000x-1.000000x2.215985x2.215985x2.22x2.708%2.71%6.001%6.00%9-1.000000x-1.000000x2.161368x2.161368x2.16x10.151%10.2%21.941%21.9%10-1.000000x-1.000000x2.124541x2.124541x2.12x0.707%0.71%1.502%1.50%11-1.000000x-1.000000x1.963400x1.963400x1.96x1.757%1.76%3.450%3.45%12-1.000000x-1.000000x1.933545x1.933545x1.93x4.286%4.29%8.288%8.29%13-1.000000x-1.000000x1.882766x1.882766x1.88x2.069%2.07%3.896%3.90%14-1.000000x-1.000000x1.837161x1.837161x1.84x1.523%1.52%2.798%2.80%15-1.000000x-1.000000x1.826261x1.826261x1.83x5.645%5.64%10.309%10.3%16-1.000000x-1.000000x1.819307x1.819307x1.82x2.978%2.98%5.417%5.42%17-1.000000x-1.000000x1.813954x1.813954x1.81x1.036%1.04%1.879%1.88%18-1.000000x-1.000000x1.785878x1.785878x1.79x2.696%2.70%4.815%4.82%19-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%20-1.000000x-1.000000x1.747290x1.747290x1.75x4.551%4.55%7.951%7.95%21-1.000000x-1.000000x1.717443x1.717443x1.72x2.333%2.33%4.008%4.01%22-1.000000x-1.000000x1.714080x1.714080x1.71x2.125%2.12%3.642%3.64%23-1.000000x-1.000000x1.701702x1.701702x1.70x11.929%11.9%20.300%20.3%24-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%25-1.000000x-1.000000x1.645347x1.645347x1.65x2.143%2.14%3.526%3.53%-1.000000x-1.000000x1.639443x1.639443x1.64x4.378%4.38%7.177%7.18%26-1.000000x-1.000000x1.636169x1.636169x1.64x7.847%7.85%12.838%12.8%27-1.000000x-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-1.000000x1.589396x1.589396x1.59x0.805%0.81%1.280%1.28%28-1.000000x-1.000000x1.580903x1.580903x1.58x2.468%2.47%3.901%3.90%29-1.000000x-1.000000x1.563962x1.563962x1.56x0.950%0.95%1.485%1.49%30-1.000000x-1.000000x1.542958x1.542958x1.54x0.719%0.72%1.110%1.11%31-1.000000x-1.000000x1.531432x1.531432x1.53x3.775%3.77%5.781%5.78%32-1.000000x-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%33-1.000000x-1.000000x1.521373x1.521373x1.52x2.472%2.47%3.760%3.76%34-1.000000x-1.000000x1.483904x1.483904x1.48x1.195%1.20%1.774%1.77%35-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%36-1.000000x-1.000000x1.467226x1.467226x1.47x3.498%3.50%5.132%5.13%37-1.000000x-1.000000x1.369306x1.369306x1.37x16.850%16.9%23.073%23.1%38-1.000000x-1.000000x1.368458x1.368458x1.37x0.462%0.46%0.633%0.63%39-1.000000x-1.000000x1.349459x1.349459x1.35x0.926%0.93%1.250%1.25%-1.000000x-1.000000x1.349459x1.349459x1.35x0.926%0.93%1.250%1.25%-1.000000x-1.000000x1.313093x1.313093x1.31x2.454%2.45%3.222%3.22%40-1.000000x-1.000000x1.296174x1.296174x1.30x2.938%2.94%3.808%3.81%41-1.000000x-1.000000x1.291392x1.291392x1.29x1.838%1.84%2.373%2.37%42-1.000000x-1.000000x1.168645x1.168645x1.17x1.379%1.38%1.611%1.61%43-1.000000x-1.000000x1.073659x1.073659x1.07x1.979%1.98%2.125%2.13%44-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%45-1.000000x-1.000000x1.023679x1.023679x1.02x1.566%1.57%1.603%1.60%46-1.000000x-1.000000x1.015333x1.015333x1.02x0.370%0.37%0.376%0.38%47-1.020160x-1.020160x1.02x1.000000x1.000000x3.491%3.49%3.422%3.42%48-1.031914x-1.031914x1.03x1.000000x1.000000x0.907%0.91%0.879%0.88%49-1.116231x-1.116231x1.12x1.000000x1.000000x1.029%1.03%0.922%0.92%50
F percentage of females in category
M percentage of males in category
# rank of 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 the Exeter Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Exeter Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Exeter Township, selected other county subdivisions in the Midwest, and entities that contain the Exeter Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolis830500Tract 830500Exeter TownshipExeterSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceMichiganSioux FallsMonroe Metro AreaMonroe AreaMonroe CountyMonroeCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%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%31,23131.2k2312.455744%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%29,34729.3k3010.913897%10.913897%10.9%28910.913897%10.913897%10.9%28910.767091%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%8,1613310.122386%10.122386%10.1%676,467676k9.702326%9.702326%9.7%9,123349.563959%9.563959%9.6%9,9149.563959%9.563959%9.6%9,9148.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Exeter Township, selected other county subdivisions in the Midwest, and entities that contain the Exeter Township
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 CentralSterling HeightsSterling HtsMichiganTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonMonroe Metro AreaMonroe AreaMonroe CountyMonroeToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue Township830500Tract 830500Exeter TownshipExeterDetroit72.810169%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%8,931,6868.93M27.532180%27.532180%27.5%25,60325.6k3127.410304%27.410304%27.4%1,831,7981.83M27.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%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%21,01221.0k4118.799923%18.799923%18.8%19,48819.5k18.799923%18.799923%18.8%19,48819.5k18.048021%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%16,95117.0k4914.010574%14.010574%14.0%37114.010574%14.010574%14.0%37113.833543%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#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Exeter Township, selected other county subdivisions in the Midwest, and entities that contain the Exeter Township
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 FallsOlatheMichiganCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneMonroe Metro AreaMonroe AreaMonroe CountyMonroeWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton830500Tract 830500Exeter TownshipExeter17.877867%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%2,349292.809013%2.809013%2.8%187,723188k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.083349%1.083349%1.1%1,1231.083349%1.083349%1.1%1,1231.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.415408%0.415408%0.4%110.415408%0.415408%0.4%11
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#28

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 the Exeter Township, selected other county subdivisions in the Midwest, and entities that contain the Exeter Township
Female
Male
1x0x1xFM#Tract 830500ExeterCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipMichiganWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusMonroe AreaMonroeClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.580018x1.580018x1.58x8.405%8.40%13.280%13.3%-1.000000x-1.000000x1.580018x1.580018x1.58x8.405%8.40%13.280%13.3%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%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-1.000000x1.145031x1.145031x1.15x9.461%9.46%10.834%10.8%-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-1.000000x1.051293x1.051293x1.05x9.332%9.33%9.811%9.81%-1.000000x-1.000000x1.051293x1.051293x1.05x9.332%9.33%9.811%9.81%-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#29

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 the Exeter Township, selected other county subdivisions in the Midwest, and entities that contain the Exeter Township
Female
Male
0x2x4x6x8xFM#Tract 830500ExeterRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaMichiganFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeMonroe AreaMonroeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x9.427733x9.427733x9.43x0.078%0.08%0.734%0.73%-1.000000x-1.000000x9.427733x9.427733x9.43x0.078%0.08%0.734%0.73%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.645347x1.645347x1.65x2.143%2.14%3.526%3.53%-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-1.000000x1.570028x1.570028x1.57x1.087%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-1.000000x1.349459x1.349459x1.35x0.926%0.93%1.250%1.25%-1.000000x-1.000000x1.349459x1.349459x1.35x0.926%0.93%1.250%1.25%-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 the Exeter Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Exeter Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Exeter Township, selected other county subdivisions in the United States, and entities that contain the Exeter Township
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 FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsa830500Tract 830500Exeter TownshipExeterEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisMichiganWashingtonMonroe Metro AreaMonroe AreaMonroe CountyMonroeAtlantaSeattleNortheast 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%84,02484.0k3612.262851%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%43,65343.7k4110.913897%10.913897%10.9%28910.913897%10.913897%10.9%28910.719464%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%47,67947.7k4410.122386%10.122386%10.1%676,467676k10.045421%10.045421%10.0%46,51046.5k459.563959%9.563959%9.6%9,9149.563959%9.563959%9.6%9,9149.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%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#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Exeter Township, selected other county subdivisions in the United States, and entities that contain the Exeter Township
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…SacramentoMichiganEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxMonroe Metro AreaMonroe AreaMonroe CountyMonroeSan BernardinoSan Antonio CentralSan Antonio Cntrl830500Tract 830500Exeter TownshipExeterDetroit60.434640%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%312,038312k3528.231204%28.231204%28.2%209,283209k3627.410304%27.410304%27.4%1,831,7981.83M27.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%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%173,169173k4718.799923%18.799923%18.8%19,48819.5k18.799923%18.799923%18.8%19,48819.5k16.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4914.010574%14.010574%14.0%37114.010574%14.010574%14.0%37113.833543%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#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Exeter Township, selected other county subdivisions in the United States, and entities that contain the Exeter Township
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 CentralFresnoMichiganAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitMonroe Metro AreaMonroe AreaMonroe CountyMonroe830500Tract 830500Exeter TownshipExeter12.461852%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%11,83311.8k352.809013%2.809013%2.8%187,723188k2.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693501.083349%1.083349%1.1%1,1231.083349%1.083349%1.1%1,1230.415408%0.415408%0.4%110.415408%0.415408%0.4%11
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#33

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 the Exeter Township, selected other county subdivisions in the United States, and entities that contain the Exeter Township
Female
Male
1x0x1xFM#Tract 830500Exeter1, CharlotteDetroitBaltimoreTulsaSW DallasMichiganMidwestFresnoEast North CentralMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusMonroe AreaMonroeSalt 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-1.000000x1.580018x1.580018x1.58x8.405%8.40%13.280%13.3%-1.000000x-1.000000x1.580018x1.580018x1.58x8.405%8.40%13.280%13.3%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%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-1.000000x1.145031x1.145031x1.15x9.461%9.46%10.834%10.8%-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-1.000000x1.051293x1.051293x1.05x9.332%9.33%9.811%9.81%-1.000000x-1.000000x1.051293x1.051293x1.05x9.332%9.33%9.811%9.81%-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#34

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 the Exeter Township, selected other county subdivisions in the United States, and entities that contain the Exeter Township
Female
Male
0x2x4x6x8xFM#Tract 830500ExeterEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixMichiganTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoMonroe AreaMonroePhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x9.427733x9.427733x9.43x0.078%0.08%0.734%0.73%-1.000000x-1.000000x9.427733x9.427733x9.43x0.078%0.08%0.734%0.73%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.645347x1.645347x1.65x2.143%2.14%3.526%3.53%-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-1.000000x1.557664x1.557664x1.56x4.733%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-1.000000x1.349459x1.349459x1.35x0.926%0.93%1.250%1.25%-1.000000x-1.000000x1.349459x1.349459x1.35x0.926%0.93%1.250%1.25%-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
Michigan
County:
Monroe
Metro Area:
Monroe Area
Village:
Maybee
ZIP Codes:
48111, 48117, 48159, 48162, 48164
Unified School Districts:
Airport, Dundee, Milan, Monroe
Congressional District:
MI-7
State Senate District:
MI-17
State House District:
MI-17
Neighboring Charter Townships:
Augusta
Neighboring Townships:
Ash, Frenchtown, London, Raisinville, Sumpter
Nearby Charter Townships:
Berlin, Huron, Monroe
Nearby Townships:
Dundee