Educational Attainment in the Dexter Township, Washtenaw County, Michigan (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Washtenaw County and the Dexter Township
Dexter Township
Washtenaw County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma263.602941%60.359287%63.602941%63.6%2,76833.616728%34.324983%33.616728%33.6%1,4632.780331%5.315730%2.780331%2.8%121
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 Washtenaw County at large.
Scope: population of Washtenaw County and the Dexter Township
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma25.373911%5.373911%+5.4%63.603%63.6%60.359%60.4%-2.063381%-2.063381%-2.1%33.617%33.6%34.325%34.3%-47.696161%-47.696161%-47.7%2.780%2.78%5.316%5.32%
% percentage with given level in the Dexter Township
ref. percentage with given level in Washtenaw 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 Washtenaw County and the Dexter Township
Dexter Township
Washtenaw County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None3.446691%5.825773%3.446691%3.4%1502.872243%4.352968%2.872243%2.9%12515.188419%17.781088%15.188419%15.2%66135.110294%25.276010%35.110294%35.1%1,5286.985294%7.123448%6.985294%7.0%30421.530331%18.773189%21.530331%21.5%93712.086397%15.551794%12.086397%12.1%5261.861213%3.620853%1.861213%1.9%810.919118%1.173099%0.919118%0.9%400.000000%0.000000%0.0%0.521778%0
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 Washtenaw County at large.
Scope: population of Washtenaw County and the Dexter Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-40.837187%-40.837187%-40.8%3.447%3.45%5.826%5.83%-34.016450%-34.016450%-34.0%2.872%2.87%4.353%4.35%-14.581046%-14.581046%-14.6%15.188%15.2%17.781%17.8%38.907582%38.907582%+38.9%35.110%35.1%25.276%25.3%-1.939430%-1.939430%-1.9%6.985%6.99%7.123%7.12%14.686594%14.686594%+14.7%21.530%21.5%18.773%18.8%-22.282941%-22.282941%-22.3%12.086%12.1%15.552%15.6%-48.597383%-48.597383%-48.6%1.861%1.86%3.621%3.62%-21.650437%-21.650437%-21.7%0.919%0.92%1.173%1.17%-100.000000%-100.000000%-100.0%0.000%0%0.522%0.52%
% percentage with given level in the Dexter Township
ref. percentage with given level in Washtenaw 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 Washtenaw County and the Dexter Township
More Females More Males
Washtenaw County
Dexter Township
200%100%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-2.369279%-3.370590%-2.369279%2%64.334%64.3%62.845%62.8%13.599186%3.728388%13.599186%14%31.512%31.5%35.798%35.8%-206.069900%-206.069900%206%14.987284%4.153%4.15%1.357%1.36%
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 Washtenaw County and the Dexter Township
More Females More Males
Washtenaw County
Dexter Township
1,000%500%0%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.379.031778%68.684396%79.031778%79%2.483%2.48%4.445%4.45%5.321750%29.428355%5.321750%5%2.799%2.80%2.948%2.95%-125.603894%-18.005379%-125.603894%126%20.903%20.9%9.265%9.27%-6.766317%44.590093%44.590093%45%28.804%28.8%41.647%41.6%-105.887226%-24.326247%-105.887226%106%9.345%9.35%4.539%4.54%37.342649%6.185153%37.342649%37%18.194%18.2%24.988%25.0%-23.208545%-23.208545%23%0.837398%13.318%13.3%10.810%10.8%-1,000.000000%-1,000.000000%> 1000%29.225791%3.476%3.48%0.187%0.19%-8.410438%72.749961%72.749961%73%0.677%0.68%1.170%1.17%
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 Washtenaw County and the Dexter Township
Dexter Township
Washtenaw County
0%10%20%30%40%B.X.Total65+45-6435-4425-3420.140281%18.826383%20.140281%20.1%20199838.863751%23.396266%38.863751%38.9%7731,98939.166667%26.148072%39.166667%39.2%32984042.857143%33.283627%42.857143%42.9%225525
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 Washtenaw County at large.
Scope: population of Washtenaw County and the Dexter Township
0%10%20%30%40%50%60%%ref.65+45-6435-4425-346.979022%6.979022%7.0%20.140%20.1%18.826%18.8%66.110914%66.110914%66.1%38.864%38.9%23.396%23.4%49.787972%49.787972%49.8%39.167%39.2%26.148%26.1%28.763441%28.763441%28.8%42.857%42.9%33.284%33.3%
% percentage in the Dexter Township with a Bachelor's degree
ref percentage in Washtenaw 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 Washtenaw County and the Dexter Township
More Females More Males
Washtenaw County
Dexter Township
10%0%10%20%30%40%50%FM65+45-6435-4425-3455.812078%0.898493%55.812078%55.8%16.192%16.2%25.229%25.2%-11.577596%52.278721%52.278721%52.3%30.458%30.5%46.381%46.4%-8.465408%7.683274%7.683274%7.7%37.808%37.8%40.712%40.7%-9.704487%49.608190%49.608190%49.6%34.457%34.5%51.550%51.6%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Washtenaw County and the Dexter Township
Dexter Township
Washtenaw County
$0k$20k$40k$60k$80kCount%Graduate Degree1Bachelor's DegreeSome CollegeNo H.S. Diploma2Total$84,904.000000$68,802.000000$84,904.000000$84.9k93621.507%21.5%$54,236.000000$48,783.000000$54,236.000000$54.2k1,52835.110%35.1%$40,236.000000$31,538.000000$40,236.000000$40.2k1,24128.516%28.5%$56,172.000000$19,450.000000$56,172.000000$56.2k1212.780%2.78%$52,454.000000$42,854.000000$52,454.000000$52.5k4,352100.000%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 Washtenaw County and the Dexter Township
Female Male
Washtenaw County
Dexter Township
Shaded bar tips show excess over facing bar.
$50k$0k$50k$100kFMGraduate Degree1Bachelor's DegreeSome CollegeTotal$-67,308.000000$-56,725.000000$-67,308.000000$67.3k$67,308.000000$54,567.000000$56,725.000000$28,630.000000$121,875.000000$121.9k580356$-51,429.000000$-40,649.000000$-51,429.000000$51.4k$51,429.000000$11,765.000000$40,649.000000$20,001.000000$63,194.000000$63.2k638890$-35,094.000000$-25,743.000000$-35,094.000000$35.1k$35,094.000000$17,124.000000$25,743.000000$11,967.000000$52,218.000000$52.2k610631$-41,497.000000$-35,781.000000$-41,497.000000$41.5k$41,497.000000$20,251.000000$35,781.000000$15,837.000000$61,748.000000$61.7k2,2152,137
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 Washtenaw County and the Dexter Township
Dexter Township
Washtenaw County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma382.300000%82.887624%82.300000%82.3%1,64670.886076%72.734303%70.886076%70.9%67285.889571%60.285669%85.889571%85.9%28071.250000%45.829016%71.250000%71.3%57
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 Washtenaw County and the Dexter Township
Female Male
Washtenaw County
Dexter Township
Shaded bar tips show excess over facing bar.
15%10%5%0%5%10%15%MFWhite1Hispanic2Other1-1.220703%-2.781158%-3.654750%-4.001861%4.0%1.220703%3.654750%0.788371%1.220703%1.2%2586-0.000000%-16.291718%-0.874776%0.000000%0.0%0.000000%13.333333%16.291718%13.333333%13.3%40-0.000000%-8.378378%0.000000%0.0%0.000000%0.000000%8.378378%2.234175%0.000000%0.0%00
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 Washtenaw County and the Dexter Township
Female Male
Washtenaw County
Dexter Township
Shaded bar tips show excess over facing bar.
100%50%0%50%MFWhite1Hispanic2Other1-55.328060%-54.920942%-1.234950%-55.328060%55.3%55.328060%3.461003%54.920942%58.789063%58.8%1,2041,189-0.000000%-36.452947%0.000000%0.0%0.000000%0.000000%36.452947%0.926534%0.000000%0.0%00-71.186441%-28.813559%-37.321867%-100.000000%100.0%71.186441%37.321867%3.741909%71.186441%71.2%4229
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the Dexter Township

Coarse: Post-Secondary Degree Educational Attainment by Tract#15

Percentage of the population 25 years and older with given highest level of educational attainment
47.4%50.7%53.9%57.1%60.3%63.6%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
33.5%36.5%39.4%42.3%45.3%48.2%

Coarse: No High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
1.89%2.40%2.89%3.39%3.89%4.40%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
1.26%1.71%2.16%2.61%3.06%3.51%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
1.61%2.00%2.38%2.76%3.14%3.53%

Detailed: Master's Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
11.9%12.7%13.4%14.1%14.8%15.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
20.8%23.6%26.3%29.1%31.8%34.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.11%7.38%7.64%7.91%8.17%8.44%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
21.2%22.8%24.3%25.8%27.3%28.8%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
12.3%14.5%16.7%18.8%21.0%23.2%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
1.23%1.56%1.87%2.19%2.51%2.83%

Detailed: Less than High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.27%0.42%0.57%0.71%0.86%1.02%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.11%0.22%0.33%0.44%0.56%
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Educational Attainment by County Subdivision in the Ann Arbor Area

There are 26 county subdivisions in the Ann Arbor Area. This section compares the Dexter Township to all of the county subdivisions in the Ann Arbor Area and to those entities that contain or substantially overlap with the Dexter Township.

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Dexter Township, selected other county subdivisions in the Ann Arbor Area, and entities that contain the Dexter Township
0%5%10%Count#United States of AmericaUnited StatesEast North CentralMidwestMichiganYpsilanti Charter TownshipYpsilantiYpsilantiYork Charter TownshipYorkPittsfield Charter TownshipPittsfieldAugusta Charter TownshipAugustaSaline TownshipSalineSuperior Charter TownshipSuperiorChelseaSylvan TownshipSylvanSalem TownshipSalemNorthfield TownshipNorthfieldAnn Arbor Metro AreaAnn ArborWashtenaw CountyWashtenawSharon TownshipSharonDexterManchester TownshipManchesterLyndon TownshipLyndonFreedom TownshipFreedomMilanAnn ArborDexter TownshipDexterScio TownshipSalineBridgewater TownshipBridgewaterWebster TownshipWebsterLima TownshipAnn Arbor Charter TownshipAnn ArborLodi Township13.020590%13.020590%13.0%27,818,38027.8M10.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.122386%10.122386%10.1%676,467676k9.094276%9.094276%9.1%3,19218.624230%8.624230%8.6%84028.413987%8.413987%8.4%53937.601345%7.601345%7.6%1,87747.394669%7.394669%7.4%34456.652361%6.652361%6.7%9366.460674%6.460674%6.5%55276.415198%6.415198%6.4%23386.170513%6.170513%6.2%13195.772994%5.772994%5.8%236105.737705%5.737705%5.7%329115.315730%5.315730%5.3%11,77711.8k5.315730%5.315730%5.3%11,77711.8k5.101373%5.101373%5.1%78125.074971%5.074971%5.1%132135.058970%5.058970%5.1%163144.387292%4.387292%4.4%87154.041273%4.041273%4.0%47163.266639%3.266639%3.3%80173.157717%3.157717%3.2%2,057182.780331%2.780331%2.8%121192.208729%2.208729%2.2%251202.184660%2.184660%2.2%137212.142857%2.142857%2.1%24222.120383%2.120383%2.1%93231.957651%1.957651%2.0%49241.347449%1.347449%1.3%42251.179523%1.179523%1.2%5026
Count number of people in category
# rank of county subdivision out of 26 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Dexter Township, selected other county subdivisions in the Ann Arbor Area, and entities that contain the Dexter Township
0%20%40%60%Count#Ann Arbor Charter TownshipAnn ArborAnn ArborScio TownshipLodi TownshipDexterWebster TownshipWebsterDexter TownshipDexterPittsfield Charter TownshipPittsfieldAnn Arbor Metro AreaAnn ArborWashtenaw CountyWashtenawSalineSuperior Charter TownshipSuperiorSharon TownshipSharonChelseaSylvan TownshipSylvanYpsilantiLima TownshipLyndon TownshipLyndonFreedom TownshipFreedomYork Charter TownshipYorkSalem TownshipSalemBridgewater TownshipBridgewaterMilanManchester TownshipManchesterSaline TownshipSalineUnited States of AmericaUnited StatesYpsilanti Charter TownshipYpsilantiMidwestEast North CentralMichiganNorthfield TownshipNorthfieldAugusta Charter TownshipAugusta78.697466%78.697466%78.7%2,453172.810169%72.810169%72.8%47,43047.4k269.588173%69.588173%69.6%7,908364.590705%64.590705%64.6%2,738464.513649%64.513649%64.5%1,678559.439124%59.439124%59.4%2,607656.617647%56.617647%56.6%2,464755.108735%55.108735%55.1%13,60813.6k853.235838%53.235838%53.2%117,944118k53.235838%53.235838%53.2%117,944118k52.256418%52.256418%52.3%3,277950.912921%50.912921%50.9%4,3501045.846959%45.846959%45.8%7011145.594714%45.594714%45.6%1,6561244.512482%44.512482%44.5%9451342.104723%42.104723%42.1%4,1011441.070715%41.070715%41.1%1,0281540.090772%40.090772%40.1%7951638.779020%38.779020%38.8%4511738.245395%38.245395%38.2%2,4501833.341487%33.341487%33.3%1,3631933.125000%33.125000%33.1%3712032.829726%32.829726%32.8%8042132.681564%32.681564%32.7%1,0532231.831187%31.831187%31.8%4452330.315023%30.315023%30.3%64,767,78764.8M29.989458%29.989458%30.0%10,52610.5k2428.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.410304%27.410304%27.4%1,831,7981.83M27.293338%27.293338%27.3%1,5652525.300946%25.300946%25.3%1,17726
Count number of people in category
# rank of county subdivision out of 26 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#30

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 Dexter Township, selected other county subdivisions in the Ann Arbor Area, and entities that contain the Dexter Township
0%5%10%15%20%25%Count#Ann Arbor Charter TownshipAnn ArborScio TownshipAnn ArborAnn Arbor Metro AreaAnn ArborWashtenaw CountyWashtenawPittsfield Charter TownshipPittsfieldSuperior Charter TownshipSuperiorLodi TownshipWebster TownshipWebsterChelseaDexterLima TownshipDexter TownshipDexterYork Charter TownshipYorkYpsilantiFreedom TownshipFreedomSylvan TownshipSylvanSalineUnited States of AmericaUnited StatesSharon TownshipSharonNorthfield TownshipNorthfieldYpsilanti Charter TownshipYpsilantiBridgewater TownshipBridgewaterMidwestLyndon TownshipLyndonEast North CentralMichiganSalem TownshipSalemManchester TownshipManchesterMilanAugusta Charter TownshipAugustaSaline TownshipSaline26.371511%26.371511%26.4%822118.435410%18.435410%18.4%2,095217.877867%17.877867%17.9%11,64611.6k310.178741%10.178741%10.2%22,55122.6k10.178741%10.178741%10.2%22,55122.6k10.176973%10.176973%10.2%2,51349.913390%9.913390%9.9%84759.530550%9.530550%9.5%40468.344733%8.344733%8.3%36677.241189%7.241189%7.2%26387.035755%7.035755%7.0%18397.031562%7.031562%7.0%176106.318934%6.318934%6.3%275115.619732%5.619732%5.6%360125.030801%5.030801%5.0%490134.729149%4.729149%4.7%55144.616109%4.616109%4.6%98154.608515%4.608515%4.6%289163.336158%3.336158%3.3%7,127,6737.13M3.204709%3.204709%3.2%49173.156610%3.156610%3.2%181183.077011%3.077011%3.1%1,080193.035714%3.035714%3.0%34202.893416%2.893416%2.9%1,311,0191.31M2.874433%2.874433%2.9%57212.855432%2.855432%2.9%896,039896k2.809013%2.809013%2.8%187,723188k2.788650%2.788650%2.8%114222.079454%2.079454%2.1%67232.041650%2.041650%2.0%50240.687876%0.687876%0.7%32250.357654%0.357654%0.4%526
Count number of people in category
# rank of county subdivision out of 26 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#31

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 Dexter Township, selected other county subdivisions in the Ann Arbor Area, and entities that contain the Dexter Township
Female
Male
0x5xFM#FreedomLodi TownshipNorthfieldLima TownshipMilanSalemLyndonAugustaSalineManchesterSylvanYpsilantiYorkDexterWebsterAnn ArborWashtenawMichiganMidwestEast North CentralUnited StatesSharonBridgewaterAnn ArborYpsilantiChelseaPittsfieldSalineAnn ArborSuperiorScio TownshipDexter-1.000000x-1.000000x8.907626x8.907626x8.91x0.759%0.76%6.761%6.76%1-1.000000x-1.000000x7.011844x7.011844x7.01x0.290%0.29%2.030%2.03%2-1.000000x-1.000000x4.241222x4.241222x4.24x2.259%2.26%9.581%9.58%3-1.000000x-1.000000x3.232792x3.232792x3.23x0.909%0.91%2.939%2.94%4-1.000000x-1.000000x3.016491x3.016491x3.02x1.656%1.66%4.996%5.00%5-1.000000x-1.000000x2.654181x2.654181x2.65x3.242%3.24%8.605%8.61%6-1.000000x-1.000000x2.172640x2.172640x2.17x2.700%2.70%5.866%5.87%7-1.000000x-1.000000x1.767468x1.767468x1.77x5.407%5.41%9.556%9.56%8-1.000000x-1.000000x1.662268x1.662268x1.66x5.028%5.03%8.358%8.36%9-1.000000x-1.000000x1.570806x1.570806x1.57x3.976%3.98%6.246%6.25%10-1.000000x-1.000000x1.506404x1.506404x1.51x4.920%4.92%7.411%7.41%11-1.000000x-1.000000x1.403216x1.403216x1.40x7.646%7.65%10.729%10.7%12-1.000000x-1.000000x1.330114x1.330114x1.33x6.984%6.98%9.290%9.29%13-1.000000x-1.000000x1.292620x1.292620x1.29x4.474%4.47%5.784%5.78%14-1.000000x-1.000000x1.282201x1.282201x1.28x1.854%1.85%2.378%2.38%15-1.000000x-1.000000x1.149873x1.149873x1.15x4.956%4.96%5.698%5.70%-1.000000x-1.000000x1.149873x1.149873x1.15x4.956%4.96%5.698%5.70%-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-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.044118x1.044118x1.04x4.994%4.99%5.214%5.21%16-1.028986x-1.028986x1.03x1.000000x1.000000x2.174%2.17%2.113%2.11%17-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%18-1.059356x-1.059356x1.06x1.000000x1.000000x8.885%8.89%8.387%8.39%19-1.087112x-1.087112x1.09x1.000000x1.000000x6.650%6.65%6.117%6.12%20-1.145999x-1.145999x1.15x1.000000x1.000000x8.082%8.08%7.052%7.05%21-1.278844x-1.278844x1.28x1.000000x1.000000x2.425%2.42%1.896%1.90%22-1.315488x-1.315488x1.32x1.000000x1.000000x1.530%1.53%1.163%1.16%23-1.647498x-1.647498x1.65x1.000000x1.000000x7.931%7.93%4.814%4.81%24-1.956643x-1.956643x1.96x1.000000x1.000000x2.882%2.88%1.473%1.47%25-3.060699x-3.060699x3.06x1.000000x1.000000x4.153%4.15%1.357%1.36%26
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 26 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#32

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 Dexter Township, selected other county subdivisions in the Ann Arbor Area, and entities that contain the Dexter Township
Female
Male
0x5x10xFM#BridgewaterMilanLima TownshipWebsterSalemChelseaSylvanLodi TownshipMichiganPittsfieldAnn ArborEast North CentralMidwestSalineUnited StatesAnn ArborYpsilantiAnn ArborWashtenawScio TownshipDexterDexterSharonSuperiorFreedomNorthfieldManchesterLyndonYpsilantiSalineAugustaYork-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.543%0.54%5.458%5.46%1-1.000000x-1.000000x7.873553x7.873553x7.87x0.473%0.47%3.726%3.73%2-1.000000x-1.000000x2.568495x2.568495x2.57x3.884%3.88%9.977%9.98%3-1.000000x-1.000000x2.470920x2.470920x2.47x4.775%4.78%11.799%11.8%4-1.000000x-1.000000x2.238466x2.238466x2.24x1.760%1.76%3.940%3.94%5-1.000000x-1.000000x2.065481x2.065481x2.07x4.926%4.93%10.175%10.2%6-1.000000x-1.000000x1.784803x1.784803x1.78x3.311%3.31%5.910%5.91%7-1.000000x-1.000000x1.689654x1.689654x1.69x7.046%7.05%11.906%11.9%8-1.000000x-1.000000x1.645347x1.645347x1.65x2.143%2.14%3.526%3.53%-1.000000x-1.000000x1.636169x1.636169x1.64x7.847%7.85%12.838%12.8%9-1.000000x-1.000000x1.622988x1.622988x1.62x20.140%20.1%32.687%32.7%10-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.574780x1.574780x1.57x0.279%0.28%0.440%0.44%11-1.000000x-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%12-1.000000x-1.000000x1.521373x1.521373x1.52x2.472%2.47%3.760%3.76%13-1.000000x-1.000000x1.504022x1.504022x1.50x8.180%8.18%12.302%12.3%-1.000000x-1.000000x1.504022x1.504022x1.50x8.180%8.18%12.302%12.3%-1.000000x-1.000000x1.470441x1.470441x1.47x15.051%15.1%22.132%22.1%14-1.000000x-1.000000x1.453683x1.453683x1.45x5.824%5.82%8.466%8.47%15-1.000000x-1.000000x1.399718x1.399718x1.40x5.282%5.28%7.394%7.39%16-1.000000x-1.000000x1.392157x1.392157x1.39x2.689%2.69%3.743%3.74%17-1.000000x-1.000000x1.389753x1.389753x1.39x8.374%8.37%11.638%11.6%18-1.000000x-1.000000x1.341569x1.341569x1.34x3.985%3.98%5.346%5.35%19-1.000000x-1.000000x1.247992x1.247992x1.25x2.824%2.82%3.524%3.52%20-1.000000x-1.000000x1.064048x1.064048x1.06x2.018%2.02%2.147%2.15%21-1.000000x-1.000000x1.044538x1.044538x1.04x2.808%2.81%2.933%2.93%22-1.000000x-1.000000x1.035658x1.035658x1.04x4.939%4.94%5.115%5.11%23-1.258880x-1.258880x1.26x1.000000x1.000000x5.083%5.08%4.038%4.04%24-1.344519x-1.344519x1.34x1.000000x1.000000x0.784%0.78%0.583%0.58%25-1.412043x-1.412043x1.41x1.000000x1.000000x6.861%6.86%4.859%4.86%26
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 26 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 Dexter Township to the 50 most populous county subdivisions in Michigan and to those entities that contain or substantially overlap with the Dexter Township. The least populous of the compared county subdivisions has a population of 36,008.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Dexter Township, selected other county subdivisions in Michigan, and entities that contain the Dexter Township
0%5%10%15%20%Count#PontiacDetroitLincoln ParkSaginawDearbornMuskegonFlintHolland Charter TownshipHollandTaylorWyomingWarrenGrand RapidsRosevilleSterling HeightsSterling HtsDearborn HeightsDearborn HtsUnited States of AmericaUnited StatesRedford Charter TownshipRedfordWestlandLansingKentwoodEast North CentralMidwestMichiganBattle CreekClinton Charter TownshipClintonKalamazooYpsilanti Charter TownshipYpsilantiShelby Charter TownshipShelbyWaterford Charter TownshipWaterfordChesterfield TownshipChesterfieldSt. Clair ShoresSt. Clair ShrsPittsfield Charter TownshipPittsfieldSouthfieldMacomb TownshipMacombTroyLivoniaSaginaw Charter TownshipSaginawCommerce Charter TownshipCommerceIndependence Charter TownshipIndependenceWest Bloomfield Charter TownshipW BloomfieldAnn Arbor Metro AreaAnn ArborWashtenaw CountyWashtenawCanton Charter TownshipCantonFarmington HillsFarmington HlsNoviOrion Charter TownshipOrionMidlandGeorgetown Charter TownshipGeorgetownPortageRochester HillsRochester HlsMeridian Charter TownshipMeridianGrand Blanc Charter TownshipGrand BlancRoyal OakAnn ArborEast LansingDexter TownshipDexterBloomfield 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%3,7471910.719464%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%7,055219.488289%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%2,569365.315730%5.315730%5.3%11,77711.8k5.315730%5.315730%5.3%11,77711.8k5.269160%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%410492.780331%2.780331%2.8%1212.411649%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#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Dexter Township, selected other county subdivisions in Michigan, and entities that contain the Dexter Township
0%20%40%60%Count#Ann ArborEast LansingBloomfield Charter TownshipBloomfieldMeridian Charter TownshipMeridianNoviTroyWest Bloomfield Charter TownshipW BloomfieldDexter TownshipDexterRochester HillsRochester HlsPittsfield Charter TownshipPittsfieldRoyal OakFarmington HillsFarmington HlsAnn Arbor Metro AreaAnn ArborWashtenaw CountyWashtenawCanton 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 TownshipRedfordWestlandWarrenDetroitPontiacRosevilleMuskegonSaginawFlintTaylorLincoln 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%26,75326.8k756.617647%56.617647%56.6%2,46455.316466%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%31,34531.3k1153.235838%53.235838%53.2%117,944118k53.235838%53.235838%53.2%117,944118k48.829448%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%10,84710.8k4117.280259%17.280259%17.3%15,89315.9k4213.833543%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#35

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 Dexter Township, selected other county subdivisions in Michigan, and entities that contain the Dexter Township
0%5%10%15%Count#East LansingAnn ArborMeridian Charter TownshipMeridianBloomfield Charter TownshipBloomfieldWest Bloomfield Charter TownshipW BloomfieldAnn Arbor Metro AreaAnn ArborWashtenaw CountyWashtenawPittsfield Charter TownshipPittsfieldTroyDexter TownshipDexterRoyal 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 TownshipClintonDetroitSaginawWyomingWarrenChesterfield TownshipChesterfieldFlintPontiacWestlandTaylorLincoln ParkMuskegonRoseville19.837725%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%5,360510.178741%10.178741%10.2%22,55122.6k10.178741%10.178741%10.2%22,55122.6k10.176973%10.176973%10.2%2,51367.886004%7.886004%7.9%4,61076.318934%6.318934%6.3%2756.246786%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%529411.047058%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%129480.380975%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#36

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 Dexter Township, selected other county subdivisions in Michigan, and entities that contain the Dexter Township
Female
Male
3x2x1x0x1xFM#YpsilantiSouthfieldRoyal OakPortageTaylorMidlandMuskegonPontiacDetroitKentwoodRedfordKalamazooEast LansingAnn ArborWashtenawMichiganMidwestEast North CentralLivoniaFlintUnited StatesLansingGrand RapidsBattle CreekGrand BlancLincoln ParkWyomingChesterfieldWarrenWestlandNoviRosevilleSaginawMeridianSt. Clair ShrsWaterfordHollandClintonAnn ArborFarmington HlsMacombGeorgetownIndependenceW BloomfieldShelbyCantonSterling HtsPittsfieldOrionTroySaginawCommerceDearborn HtsRochester HlsDearbornBloomfieldDexter-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-1.000000x1.149873x1.149873x1.15x4.956%4.96%5.698%5.70%-1.000000x-1.000000x1.149873x1.149873x1.15x4.956%4.96%5.698%5.70%-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-1.000000x1.051095x1.051095x1.05x15.368%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%50-3.060699x-3.060699x3.06x1.000000x1.000000x4.153%4.15%1.357%1.36%
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#37

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 Dexter Township, selected other county subdivisions in Michigan, and entities that contain the Dexter Township
Female
Male
0x2x4xFM#Lincoln ParkMidlandFarmington HlsOrionSt. Clair ShrsW BloomfieldDearborn HtsMuskegonGrand BlancBloomfieldWyomingKentwoodRoyal OakDearbornHollandTroySaginawClintonPortageWarrenRochester HlsShelbyLivoniaMeridianGrand RapidsMichiganNoviPittsfieldEast North CentralMidwestChesterfieldSouthfieldSaginawPontiacCantonUnited StatesAnn ArborYpsilantiAnn ArborWashtenawWaterfordSterling HtsKalamazooDexterEast LansingTaylorLansingCommerceGeorgetownBattle CreekMacombDetroitRedfordRosevilleIndependenceWestlandFlint-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-1.000000x1.504022x1.504022x1.50x8.180%8.18%12.302%12.3%-1.000000x-1.000000x1.504022x1.504022x1.50x8.180%8.18%12.302%12.3%-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-1.000000x1.399718x1.399718x1.40x5.282%5.28%7.394%7.39%-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-1.000000x1.313093x1.313093x1.31x2.454%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 Dexter Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Dexter Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Dexter Township, selected other county subdivisions in the Midwest, and entities that contain the Dexter 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 TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceMichiganSioux FallsCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipAnn Arbor Metro AreaAnn ArborWashtenaw CountyWashtenawMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn ArborDexter TownshipDexter33.464284%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%29,34729.3k3010.767091%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%9,123348.623103%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%4,715445.315730%5.315730%5.3%11,77711.8k5.315730%5.315730%5.3%11,77711.8k5.266517%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%2,057502.780331%2.780331%2.8%121
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#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Dexter Township, selected other county subdivisions in the Midwest, and entities that contain the Dexter Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleDexter TownshipDexterMadisonDowners Grove TownshipDowners GrvAnn Arbor Metro AreaAnn ArborWashtenaw CountyWashtenawWashington 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 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%46,35646.4k456.617647%56.617647%56.6%2,46456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k653.235838%53.235838%53.2%117,944118k53.235838%53.235838%53.2%117,944118k50.610540%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%21,01221.0k4118.048021%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#40

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 Dexter Township, selected other county subdivisions in the Midwest, and entities that contain the Dexter Township
0%5%10%15%Count#Ann ArborAnn Arbor Metro AreaAnn ArborWashtenaw CountyWashtenawMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonDexter TownshipDexterMinneapolisYork 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 TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k110.178741%10.178741%10.2%22,55122.6k10.178741%10.178741%10.2%22,55122.6k9.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.318934%6.318934%6.3%2756.241155%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%1,040461.047058%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#41

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 Dexter Township, selected other county subdivisions in the Midwest, and entities that contain the Dexter Township
Female
Male
3x2x1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipAnn ArborWashtenawMichiganWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaineDexter-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-1.000000x1.149873x1.149873x1.15x4.956%4.96%5.698%5.70%-1.000000x-1.000000x1.149873x1.149873x1.15x4.956%4.96%5.698%5.70%-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-1.000000x1.046686x1.046686x1.05x21.119%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%50-3.060699x-3.060699x3.06x1.000000x1.000000x4.153%4.15%1.357%1.36%
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#42

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 Dexter Township, selected other county subdivisions in the Midwest, and entities that contain the Dexter Township
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaMichiganFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CityAuroraUnited StatesAnn ArborAnn ArborWashtenawTopekaSterling HtsPalatineSchaumburgColumbusDexterMadisonKaw 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-1.000000x1.989047x1.989047x1.99x0.860%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-1.000000x1.504022x1.504022x1.50x8.180%8.18%12.302%12.3%-1.000000x-1.000000x1.504022x1.504022x1.50x8.180%8.18%12.302%12.3%-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-1.000000x1.399718x1.399718x1.40x5.282%5.28%7.394%7.39%-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 the Dexter Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Dexter Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Dexter Township, selected other county subdivisions in the United States, and entities that contain the Dexter 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, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisMichiganWashingtonAtlantaSeattleNortheast TarrantNE TarrantPlanoAnn Arbor Metro AreaAnn ArborWashtenaw CountyWashtenawSeattle EastDexter TownshipDexter28.998944%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%43,65343.7k4110.719464%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%46,51046.5k459.538552%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%20,64420.6k495.315730%5.315730%5.3%11,77711.8k5.315730%5.315730%5.3%11,77711.8k4.913852%4.913852%4.9%20,32620.3k502.780331%2.780331%2.8%121
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#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Dexter Township, selected other county subdivisions in the United States, and entities that contain the Dexter Township
0%20%40%60%Count#ManhattanSeattle EastDexter TownshipDexterWashingtonSan FranciscoPlanoAnn Arbor Metro AreaAnn ArborWashtenaw CountyWashtenawSan 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 PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k256.617647%56.617647%56.6%2,46455.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k553.235838%53.235838%53.2%117,944118k53.235838%53.235838%53.2%117,944118k49.985845%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%173,169173k4716.375473%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#45

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 Dexter Township, selected other county subdivisions in the United States, and entities that contain the Dexter Township
0%5%10%Count#WashingtonManhattanAnn Arbor Metro AreaAnn ArborWashtenaw CountyWashtenawSan FranciscoBostonAtlantaSeattleDexter TownshipDexterSan 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 DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k210.178741%10.178741%10.2%22,55122.6k10.178741%10.178741%10.2%22,55122.6k7.558053%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%49,79049.8k66.318934%6.318934%6.3%2756.255912%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%5,69350
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#46

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 Dexter Township, selected other county subdivisions in the United States, and entities that contain the Dexter Township
Female
Male
3x2x1x0x1xFM#1, CharlotteDetroitBaltimoreTulsaSW DallasAnn ArborWashtenawMichiganMidwestFresnoEast 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 PasoDexter-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-1.000000x1.149873x1.149873x1.15x4.956%4.96%5.698%5.70%-1.000000x-1.000000x1.149873x1.149873x1.15x4.956%4.96%5.698%5.70%-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-1.000000x1.051272x1.051272x1.05x10.176%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%50-3.060699x-3.060699x3.06x1.000000x1.000000x4.153%4.15%1.357%1.36%
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#47

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 Dexter Township, selected other county subdivisions in the United States, and entities that contain the Dexter Township
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixMichiganTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseAnn ArborWashtenawHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusDexterMiamiAtlantaMilwaukeeAnaheim-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-1.000000x1.782054x1.782054x1.78x3.355%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-1.000000x1.504022x1.504022x1.50x8.180%8.18%12.302%12.3%-1.000000x-1.000000x1.504022x1.504022x1.50x8.180%8.18%12.302%12.3%-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-1.000000x1.399718x1.399718x1.40x5.282%5.28%7.394%7.39%-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.

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Demographics

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More Maps to Explore

State:
Michigan
County:
Washtenaw
Metro Area:
Ann Arbor Area
ZIP Codes:
48118, 48130, 48137, 48169
Unified School Districts:
Chelsea, Dexter, Pinckney, Stockbridge
Congressional District:
MI-7
State Senate District:
MI-22
State House District:
MI-52
Neighboring Townships:
Hamburg, Lima, Lyndon, Putnam, Scio, Sylvan, Webster
Nearby Townships:
Freedom, Genoa, Green Oak, Lodi, Marion, Northfield, Unadilla, Waterloo