Educational Attainment in the Chester Township, Ottawa County, Michigan (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Ottawa County and the Chester Township
Chester Township
Ottawa County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma228.613788%40.744975%28.613788%28.6%38664.121572%51.000312%64.121572%64.1%8657.264640%8.254713%7.264640%7.3%98
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 Ottawa County at large.
Scope: population of Ottawa County and the Chester Township
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-29.773455%-29.773455%-29.8%28.614%28.6%40.745%40.7%25.727802%25.727802%+25.7%64.122%64.1%51.000%51.0%-11.994025%-11.994025%-12.0%7.265%7.26%8.255%8.25%
% percentage with given level in the Chester Township
ref. percentage with given level in Ottawa 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 Ottawa County and the Chester Township
Chester Township
Ottawa County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.148258%1.037732%0.148258%0.1%22.075612%1.261071%2.075612%2.1%285.411416%8.006624%5.411416%5.4%7313.936249%21.297371%13.936249%13.9%1887.042254%9.142177%7.042254%7.0%9526.982950%21.823603%26.982950%27.0%36437.138621%29.176709%37.138621%37.1%5016.152706%5.080821%6.152706%6.2%830.667161%2.278767%0.667161%0.7%90.444774%0.895125%0.444774%0.4%6
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 Ottawa County at large.
Scope: population of Ottawa County and the Chester Township
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-85.713269%-85.713269%-85.7%0.148%0.15%1.038%1.04%64.591147%64.591147%+64.6%2.076%2.08%1.261%1.26%-32.413260%-32.413260%-32.4%5.411%5.41%8.007%8.01%-34.563525%-34.563525%-34.6%13.936%13.9%21.297%21.3%-22.969621%-22.969621%-23.0%7.042%7.04%9.142%9.14%23.641133%23.641133%+23.6%26.983%27.0%21.824%21.8%27.288589%27.288589%+27.3%37.139%37.1%29.177%29.2%21.096695%21.096695%+21.1%6.153%6.15%5.081%5.08%-70.722732%-70.722732%-70.7%0.667%0.67%2.279%2.28%-50.311522%-50.311522%-50.3%0.445%0.44%0.895%0.90%
% percentage with given level in the Chester Township
ref. percentage with given level in Ottawa 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 Ottawa County and the Chester Township
More Females More Males
Ottawa County
Chester Township
50%0%50%100%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-66.049420%-0.728811%-66.049420%66%35.909%35.9%21.626%21.6%15.584550%0.164978%15.584550%16%59.394%59.4%68.650%68.7%107.032164%2.597960%107.032164%107%4.697%4.70%9.724%9.72%
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 Ottawa County and the Chester Township
More Females More Males
Ottawa County
Chester Township
0%500%1,000%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%85.102680%1,000.000000%> 1000%0.000%0%0.290%0.29%698.258345%72.068386%698.258345%698%0.455%0.45%3.628%3.63%-33.754735%-8.815213%-33.754735%34%6.212%6.21%4.644%4.64%-139.922913%-139.922913%140%1.565076%19.848%19.8%8.273%8.27%-96.134068%-14.687336%-96.134068%96%9.394%9.39%4.790%4.79%-0.026794%27.721335%27.721335%28%23.636%23.6%30.189%30.2%7.561930%0.308648%7.561930%8%35.758%35.8%38.462%38.5%88.160896%3.769608%88.160896%88%4.242%4.24%7.983%7.98%1,000.000000%9.930257%1,000.000000%> 1000%0.000%0%1.306%1.31%-4.393939%-24.124225%-4.393939%4%0.455%0.45%0.435%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 Ottawa County and the Chester Township
Chester Township
Ottawa County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3410.822511%14.430477%10.822511%10.8%2523114.104193%20.284109%14.104193%14.1%11178716.770186%25.048460%16.770186%16.8%2716114.705882%27.424294%14.705882%14.7%25170
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 Ottawa County at large.
Scope: population of Ottawa County and the Chester Township
40%30%20%10%0%%ref.65+45-6435-4425-34-25.002403%-25.002403%25.0%10.823%10.8%14.430%14.4%-30.466786%-30.466786%30.5%14.104%14.1%20.284%20.3%-33.049033%-33.049033%33.0%16.770%16.8%25.048%25.0%-46.376441%-46.376441%46.4%14.706%14.7%27.424%27.4%
% percentage in the Chester Township with a Bachelor's degree
ref percentage in Ottawa 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 Ottawa County and the Chester Township
More Females More Males
Ottawa County
Chester Township
300%200%100%0%FM65+45-6435-4425-34-43.055556%-43.055556%43.1%29.063354%12.500%12.5%8.738%8.74%-303.587240%-303.587240%303.6%6.273992%22.977%23.0%5.693%5.69%-10.015682%21.170213%21.170213%21.2%14.925%14.9%18.085%18.1%-128.048780%-17.180124%-128.048780%128.0%20.732%20.7%9.091%9.09%
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 Ottawa County and the Chester Township
Chester Township
Ottawa County
$0k$20k$40k$60k$80kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$89,375.000000$62,804.000000$89,375.000000$89.4k1037.635%7.64%$46,375.000000$47,274.000000$46,375.000000$46.4k18813.936%13.9%$38,750.000000$35,200.000000$38,750.000000$38.8k45934.025%34.0%$30,268.000000$30,509.000000$30,268.000000$30.3k50137.139%37.1%$30,417.000000$24,510.000000$30,417.000000$30.4k987.265%7.26%$37,500.000000$37,233.000000$37,500.000000$37.5k1,349100.000%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 Ottawa County and the Chester Township
Female Male
Ottawa County
Chester Township
Shaded bar tips show excess over facing bar.
$50k$0k$50k$100kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-67,292.000000$-55,992.000000$-67,292.000000$67.3k$67,292.000000$68,276.000000$55,992.000000$15,705.000000$135,568.000000$135.6k4459$-36,250.000000$-32,696.000000$-36,250.000000$36.3k$36,250.000000$38,750.000000$32,696.000000$31,349.000000$75,000.000000$75.0k13157$-19,250.000000$-24,941.000000$-19,250.000000$19.3k$19,250.000000$32,703.000000$24,941.000000$21,673.000000$51,953.000000$52.0k218241$-18,125.000000$-21,892.000000$-18,125.000000$18.1k$18,125.000000$23,633.000000$21,892.000000$15,124.000000$41,758.000000$41.8k236265$-22,292.000000$-17,472.000000$-22,292.000000$22.3k$22,292.000000$8,708.000000$17,472.000000$10,334.000000$31,000.000000$31.0k3167$-22,379.000000$-27,132.000000$-22,379.000000$22.4k$22,379.000000$27,840.000000$27,132.000000$20,301.000000$50,219.000000$50.2k660689
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 Ottawa County and the Chester Township
Chester Township
Ottawa County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma387.346939%84.338109%87.346939%87.3%21478.465347%79.917673%78.465347%78.5%31773.551637%74.689046%73.551637%73.6%29273.611111%62.643486%73.611111%73.6%53
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 Ottawa County and the Chester Township
Female Male
Ottawa County
Chester Township
Shaded bar tips show excess over facing bar.
0%50%100%MFWhite1Hispanic2Other1-4.874214%-5.467345%-0.248124%-4.874214%4.9%4.874214%3.304799%5.467345%8.179012%8.2%5331-0.000000%-32.799455%0.000000%0.0%0.000000%100.000000%32.799455%6.766462%100.000000%100.0%110-0.000000%-28.069610%0.000000%0.0%0.000000%12.500000%28.069610%10.405014%12.500000%12.5%30
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 Ottawa County and the Chester Township
Female Male
Ottawa County
Chester Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1Hispanic2Other1-17.438272%-9.762986%-32.852944%-27.201258%27.2%17.438272%32.852944%1.502952%17.438272%17.4%113173-0.000000%-10.064309%-3.021396%0.000000%0.0%0.000000%0.000000%10.064309%0.000000%0.0%00-0.000000%-12.163312%-7.462857%0.000000%0.0%0.000000%12.500000%12.163312%12.500000%12.5%30
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 Grand Rapids Area

There are 94 county subdivisions in the Grand Rapids Area. This section compares the Chester Township to the 50 most populous county subdivisions in the Grand Rapids Area and to those entities that contain or substantially overlap with the Chester Township. The least populous of the compared county subdivisions has a population of 4,073.

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 Chester Township, selected other county subdivisions in the Grand Rapids Area, and entities that contain the Chester Township
0%5%10%15%Count#Holland Charter TownshipHollandWyomingGreenvilleGrand RapidsHastingsOlive TownshipOliveAlpine TownshipAlpineReynolds TownshipReynoldsUnited States of AmericaUnited StatesHollandRobinson TownshipRobinsonZeelandSparta TownshipSpartaTyrone TownshipTyroneSolon TownshipSolonKentwoodGaines Charter TownshipGainesHudsonvilleSpencer TownshipSpencerEast North CentralCrockery TownshipCrockeryPort Sheldon TownshipPort SheldonMidwestMichiganGrand Rapids and Wyoming Metro AreaGrand Rapids020100Tract 020100Nelson TownshipNelsonByron TownshipByronCoopersvilleOttawa CountyOttawaOakfield TownshipOakfieldGrandvilleGrand HavenChester TownshipChesterZeeland Charter TownshipZeelandWalkerLowell Charter TownshipLowellAlgoma TownshipAlgomaAllendale Charter TownshipAllendalePlainfield Charter TownshipPlainfieldCourtland TownshipCourtlandBlendon TownshipBlendonPark TownshipThornapple TownshipThornappleSpring Lake TownshipSpg LkGeorgetown Charter TownshipGeorgetownCaledonia TownshipCaledoniaJamestown Charter TownshipJamestownRockfordTallmadge Charter TownshipTallmadgeGrand Haven Charter TownshipGrand HvnYankee Springs TownshipYankee SpgsCascade Charter TownshipCascadeGrand Rapids Charter TownshipGrand RapidsCannon TownshipCannonAda TownshipEast Grand RapidsE Grand RapidsVergennes TownshipVergennes16.250968%16.250968%16.3%3,779115.751143%15.751143%15.8%7,613214.572217%14.572217%14.6%792314.563179%14.563179%14.6%17,64317.6k414.239807%14.239807%14.2%709514.217586%14.217586%14.2%477613.817252%13.817252%13.8%1,243713.323864%13.323864%13.3%469813.020590%13.020590%13.0%27,818,38027.8M13.017467%13.017467%13.0%1,893912.856464%12.856464%12.9%5411012.839922%12.839922%12.8%4581112.229153%12.229153%12.2%7451212.046258%12.046258%12.0%3751311.773327%11.773327%11.8%4821411.382139%11.382139%11.4%3,7471511.302000%11.302000%11.3%1,9671611.257078%11.257078%11.3%4971710.829268%10.829268%10.8%3331810.719464%10.719464%10.7%3,363,7843.36M10.477601%10.477601%10.5%2831910.266876%10.266876%10.3%3272010.244520%10.244520%10.2%4,641,8354.64M10.122386%10.122386%10.1%676,467676k9.889035%9.889035%9.9%65,53865.5k8.823529%8.823529%8.8%3068.768000%8.768000%8.8%274218.548409%8.548409%8.5%1,252228.514700%8.514700%8.5%223238.254713%8.254713%8.3%14,00814.0k8.020859%8.020859%8.0%323247.380419%7.380419%7.4%790257.265605%7.265605%7.3%575267.264640%7.264640%7.3%987.222567%7.222567%7.2%466276.365222%6.365222%6.4%1,022286.314581%6.314581%6.3%275295.770300%5.770300%5.8%415305.667918%5.667918%5.7%468315.608840%5.608840%5.6%1,269325.275959%5.275959%5.3%282335.035038%5.035038%5.0%194344.972947%4.972947%5.0%625354.824919%4.824919%4.8%237364.740582%4.740582%4.7%487374.387968%4.387968%4.4%1,345384.022574%4.022574%4.0%335393.989813%3.989813%4.0%188403.843009%3.843009%3.8%141413.667386%3.667386%3.7%187423.613666%3.613666%3.6%385433.528606%3.528606%3.5%103443.388889%3.388889%3.4%427452.553366%2.553366%2.6%311462.469005%2.469005%2.5%233472.335621%2.335621%2.3%211481.781489%1.781489%1.8%128491.657459%1.657459%1.7%4850
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#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Chester Township, selected other county subdivisions in the Grand Rapids Area, and entities that contain the Chester Township
0%20%40%60%Count#East Grand RapidsE Grand RapidsCascade Charter TownshipCascadeAda TownshipGrand Rapids Charter TownshipGrand RapidsCannon TownshipCannonPark TownshipRockfordCaledonia TownshipCaledoniaGrand Haven Charter TownshipGrand HvnSpring Lake TownshipSpg LkCourtland TownshipCourtlandPlainfield Charter TownshipPlainfieldGeorgetown Charter TownshipGeorgetownAlgoma TownshipAlgomaGrand RapidsAllendale Charter TownshipAllendaleByron TownshipByronWalkerVergennes TownshipVergennesGrand HavenHollandTallmadge Charter TownshipTallmadgeOttawa CountyOttawaKentwoodGrandvilleGrand Rapids and Wyoming Metro AreaGrand RapidsUnited States of AmericaUnited StatesJamestown Charter TownshipJamestownMidwestPort Sheldon TownshipPort SheldonYankee Springs TownshipYankee SpgsEast North CentralBlendon TownshipBlendonZeeland Charter TownshipZeelandLowell Charter TownshipLowellMichiganGaines Charter TownshipGainesHudsonvilleCrockery TownshipCrockeryRobinson TownshipRobinsonHolland Charter TownshipHollandNelson TownshipNelsonZeelandThornapple TownshipThornappleAlpine TownshipAlpineChester TownshipChesterOakfield TownshipOakfieldWyomingSparta TownshipSpartaHastings020100Tract 020100CoopersvilleSolon TownshipSolonOlive TownshipOliveSpencer TownshipSpencerGreenvilleTyrone TownshipTyroneReynolds TownshipReynolds79.819068%79.819068%79.8%5,735163.960317%63.960317%64.0%8,059262.951074%62.951074%63.0%5,687359.129721%59.129721%59.1%7,202450.927201%50.927201%50.9%4,806545.313495%45.313495%45.3%5,695643.962933%43.962933%44.0%1,613740.297791%40.297791%40.3%3,356839.694012%39.694012%39.7%4,229938.810474%38.810474%38.8%3,9871037.530402%37.530402%37.5%2,0061135.226519%35.226519%35.2%7,9701235.217930%35.217930%35.2%10,79510.8k1333.676307%33.676307%33.7%2,4221432.904381%32.904381%32.9%39,86339.9k1532.614751%32.614751%32.6%2,6931631.974601%31.974601%32.0%4,6831731.888391%31.888391%31.9%5,1201831.802486%31.802486%31.8%9211931.753854%31.753854%31.8%2,5132031.646266%31.646266%31.6%4,6022131.614042%31.614042%31.6%1,6122231.602798%31.602798%31.6%53,62953.6k31.594775%31.594775%31.6%10,40110.4k2330.876308%30.876308%30.9%3,3052430.838164%30.838164%30.8%204,375204k30.315023%30.315023%30.3%64,767,78764.8M30.263158%30.263158%30.3%1,4262528.952816%28.952816%29.0%13,118,64213.1M28.571429%28.571429%28.6%9102628.502912%28.502912%28.5%8322728.462853%28.462853%28.5%8,931,6868.93M28.419413%28.419413%28.4%1,0952827.929324%27.929324%27.9%1,8022927.715270%27.715270%27.7%1,2073027.410304%27.410304%27.4%1,831,7981.83M27.068490%27.068490%27.1%4,7113126.953567%26.953567%27.0%1,1903225.916327%25.916327%25.9%7003325.332700%25.332700%25.3%1,0663423.974370%23.974370%24.0%5,5753523.744000%23.744000%23.7%7423623.661340%23.661340%23.7%8443721.681596%21.681596%21.7%1,0653821.620720%21.620720%21.6%1,9453921.571534%21.571534%21.6%29120.735038%20.735038%20.7%8354020.456003%20.456003%20.5%9,8874117.892318%17.892318%17.9%1,0904217.714400%17.714400%17.7%8824317.647059%17.647059%17.6%61217.640321%17.640321%17.6%4624416.634099%16.634099%16.6%6814516.304024%16.304024%16.3%5474613.333333%13.333333%13.3%4104713.173873%13.173873%13.2%7164813.106328%13.106328%13.1%4084911.590909%11.590909%11.6%40850
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#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 Chester Township, selected other county subdivisions in the Grand Rapids Area, and entities that contain the Chester Township
0%5%10%Count#East Grand RapidsE Grand RapidsAda TownshipCascade Charter TownshipCascadeGrand Rapids Charter TownshipGrand RapidsCannon TownshipCannonRockfordCourtland TownshipCourtlandPark TownshipUnited States of AmericaUnited StatesSpring Lake TownshipSpg LkGrand RapidsYankee Springs TownshipYankee SpgsAllendale Charter TownshipAllendaleMidwestEast North CentralMichiganCrockery TownshipCrockeryHollandGrand Haven Charter TownshipGrand HvnOakfield TownshipOakfieldGrandvilleGrand Rapids and Wyoming Metro AreaGrand RapidsPlainfield Charter TownshipPlainfieldZeeland Charter TownshipZeelandKentwoodReynolds TownshipReynoldsOttawa CountyOttawaGrand HavenChester TownshipChesterHolland Charter TownshipHollandWalkerGeorgetown Charter TownshipGeorgetownPort Sheldon TownshipPort SheldonTallmadge Charter TownshipTallmadgeGaines Charter TownshipGainesCaledonia TownshipCaledoniaBlendon TownshipBlendonRobinson TownshipRobinsonAlgoma TownshipAlgomaSpencer TownshipSpencerHudsonvilleHastingsByron TownshipByronAlpine TownshipAlpineLowell Charter TownshipLowellWyoming020100Tract 020100Nelson TownshipNelsonOlive TownshipOliveTyrone TownshipTyroneJamestown Charter TownshipJamestownVergennes TownshipVergennesSparta TownshipSpartaSolon TownshipSolonThornapple TownshipThornappleGreenvilleZeelandCoopersville12.428671%12.428671%12.4%893110.427275%10.427275%10.4%94228.801587%8.801587%8.8%1,10938.694581%8.694581%8.7%1,05945.499629%5.499629%5.5%51954.524394%4.524394%4.5%16664.359214%4.359214%4.4%23374.328453%4.328453%4.3%54483.336158%3.336158%3.3%7,127,6737.13M3.329115%3.329115%3.3%34293.174629%3.174629%3.2%3,846103.083248%3.083248%3.1%90112.942957%2.942957%2.9%243122.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.809013%2.809013%2.8%187,723188k2.776749%2.776749%2.8%75132.764407%2.764407%2.8%402142.759527%2.759527%2.8%294152.756394%2.756394%2.8%111162.653214%2.653214%2.7%284172.626997%2.626997%2.6%17,41017.4k2.559116%2.559116%2.6%579182.557347%2.557347%2.6%165192.545565%2.545565%2.5%838202.500000%2.500000%2.5%88212.298803%2.298803%2.3%3,9012.274450%2.274450%2.3%180222.223870%2.223870%2.2%302.150168%2.150168%2.2%500232.111360%2.111360%2.1%339242.094480%2.094480%2.1%642252.072214%2.072214%2.1%66262.059227%2.059227%2.1%105271.821420%1.821420%1.8%317281.741114%1.741114%1.7%145291.738905%1.738905%1.7%67301.663498%1.663498%1.7%70311.571190%1.571190%1.6%113321.333333%1.333333%1.3%41331.291053%1.291053%1.3%57341.245230%1.245230%1.2%62351.194865%1.194865%1.2%175361.189418%1.189418%1.2%107371.102181%1.102181%1.1%48381.094490%1.094490%1.1%529391.038062%1.038062%1.0%360.736000%0.736000%0.7%23400.715350%0.715350%0.7%24410.578220%0.578220%0.6%18420.573005%0.573005%0.6%27430.552486%0.552486%0.6%16440.508864%0.508864%0.5%31450.390816%0.390816%0.4%16460.305375%0.305375%0.3%15470.202392%0.202392%0.2%11480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Chester Township, selected other county subdivisions in the Grand Rapids Area, and entities that contain the Chester Township
Female
Male
0x5x10xFM#VergennesAda TownshipYankee SpgsRockfordOakfieldChesterSolonCourtlandRobinsonE Grand RapidsSpartaPlainfieldCannonSpencerNelsonGrand HavenHastingsGrand HvnOliveTallmadgeTyroneLowellAlgomaAlpineThornappleKentwoodGrand RapidsHollandWalkerGrand RapidsMichiganMidwestEast North CentralTract 020100United StatesGrand RapidsByronGrandvilleCrockeryWyomingPort SheldonOttawaSpg LkJamestownHollandReynoldsGeorgetownCoopersvilleBlendonGainesCascadeCaledoniaGreenvillePark TownshipHudsonvilleAllendaleZeelandZeeland-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.195%0.19%3.323%3.32%1-1.000000x-1.000000x4.109291x4.109291x4.11x0.929%0.93%3.816%3.82%2-1.000000x-1.000000x3.611853x3.611853x3.61x1.547%1.55%5.587%5.59%3-1.000000x-1.000000x2.611077x2.611077x2.61x2.161%2.16%5.643%5.64%4-1.000000x-1.000000x2.322434x2.322434x2.32x4.755%4.75%11.042%11.0%5-1.000000x-1.000000x2.070322x2.070322x2.07x4.697%4.70%9.724%9.72%-1.000000x-1.000000x2.069213x2.069213x2.07x7.722%7.72%15.978%16.0%6-1.000000x-1.000000x1.859718x1.859718x1.86x3.711%3.71%6.900%6.90%7-1.000000x-1.000000x1.829507x1.829507x1.83x8.837%8.84%16.168%16.2%8-1.000000x-1.000000x1.779843x1.779843x1.78x1.300%1.30%2.313%2.31%9-1.000000x-1.000000x1.762660x1.762660x1.76x8.891%8.89%15.672%15.7%10-1.000000x-1.000000x1.721680x1.721680x1.72x4.173%4.17%7.185%7.18%11-1.000000x-1.000000x1.688778x1.688778x1.69x1.834%1.83%3.097%3.10%12-1.000000x-1.000000x1.683794x1.683794x1.68x7.845%7.84%13.209%13.2%13-1.000000x-1.000000x1.672713x1.672713x1.67x6.503%6.50%10.878%10.9%14-1.000000x-1.000000x1.667872x1.667872x1.67x5.631%5.63%9.392%9.39%15-1.000000x-1.000000x1.542072x1.542072x1.54x11.437%11.4%17.637%17.6%16-1.000000x-1.000000x1.502174x1.502174x1.50x2.886%2.89%4.335%4.33%17-1.000000x-1.000000x1.444538x1.444538x1.44x11.512%11.5%16.629%16.6%18-1.000000x-1.000000x1.411223x1.411223x1.41x3.050%3.05%4.305%4.30%19-1.000000x-1.000000x1.378501x1.378501x1.38x10.203%10.2%14.065%14.1%20-1.000000x-1.000000x1.360358x1.360358x1.36x5.384%5.38%7.324%7.32%21-1.000000x-1.000000x1.329835x1.329835x1.33x4.984%4.98%6.628%6.63%22-1.000000x-1.000000x1.287649x1.287649x1.29x12.121%12.1%15.608%15.6%23-1.000000x-1.000000x1.267514x1.267514x1.27x4.266%4.27%5.408%5.41%24-1.000000x-1.000000x1.222098x1.222098x1.22x10.315%10.3%12.606%12.6%25-1.000000x-1.000000x1.190374x1.190374x1.19x2.346%2.35%2.793%2.79%26-1.000000x-1.000000x1.175656x1.175656x1.18x12.019%12.0%14.130%14.1%27-1.000000x-1.000000x1.155960x1.155960x1.16x5.920%5.92%6.843%6.84%28-1.000000x-1.000000x1.154260x1.154260x1.15x9.199%9.20%10.618%10.6%-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-1.000000x1.109883x1.109883x1.11x8.367%8.37%9.286%9.29%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%29-1.000000x-1.000000x1.076457x1.076457x1.08x8.246%8.25%8.876%8.88%30-1.000000x-1.000000x1.069721x1.069721x1.07x7.145%7.15%7.644%7.64%31-1.000000x-1.000000x1.059001x1.059001x1.06x10.168%10.2%10.768%10.8%32-1.000000x-1.000000x1.051095x1.051095x1.05x15.368%15.4%16.153%16.2%33-1.000000x-1.000000x1.030403x1.030403x1.03x10.106%10.1%10.413%10.4%34-1.000000x-1.000000x1.025980x1.025980x1.03x8.152%8.15%8.363%8.36%-1.000000x-1.000000x1.022190x1.022190x1.02x4.691%4.69%4.795%4.79%35-1.000000x-1.000000x1.005000x1.005000x1.01x3.980%3.98%4.000%4.00%36-1.018662x-1.018662x1.02x1.000000x1.000000x16.399%16.4%16.098%16.1%37-1.029151x-1.029151x1.03x1.000000x1.000000x13.514%13.5%13.131%13.1%38-1.062557x-1.062557x1.06x1.000000x1.000000x4.516%4.52%4.250%4.25%39-1.074566x-1.074566x1.07x1.000000x1.000000x8.785%8.79%8.176%8.18%40-1.084494x-1.084494x1.08x1.000000x1.000000x5.254%5.25%4.845%4.84%41-1.124404x-1.124404x1.12x1.000000x1.000000x11.934%11.9%10.614%10.6%42-1.192976x-1.192976x1.19x1.000000x1.000000x3.671%3.67%3.077%3.08%43-1.198589x-1.198589x1.20x1.000000x1.000000x4.373%4.37%3.649%3.65%44-1.236752x-1.236752x1.24x1.000000x1.000000x15.892%15.9%12.850%12.8%45-1.242369x-1.242369x1.24x1.000000x1.000000x5.490%5.49%4.419%4.42%46-1.426735x-1.426735x1.43x1.000000x1.000000x13.142%13.1%9.211%9.21%47-1.431683x-1.431683x1.43x1.000000x1.000000x6.703%6.70%4.682%4.68%48-1.444105x-1.444105x1.44x1.000000x1.000000x14.757%14.8%10.219%10.2%49-1.483580x-1.483580x1.48x1.000000x1.000000x8.579%8.58%5.783%5.78%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#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 Chester Township, selected other county subdivisions in the Grand Rapids Area, and entities that contain the Chester Township
Female
Male
10x5x0x5x10xFM#ThornappleSolonOliveTract 020100ChesterCaledoniaSpencerSpartaHollandCascadeHudsonvilleHastingsRockfordZeelandGrandvillePark TownshipGrand RapidsAda TownshipWyomingGainesJamestownKentwoodGrand HavenTallmadgeHollandGrand HvnGrand RapidsLowellOttawaPlainfieldSpg LkYankee SpgsByronGrand RapidsMichiganCannonEast North CentralMidwestUnited StatesE Grand RapidsAlgomaWalkerGeorgetownCourtlandReynoldsCrockeryRobinsonAlpineBlendonTyronePort SheldonAllendaleOakfieldGreenvilleNelsonVergennes-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.624%0.62%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.796%0.80%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.353%1.35%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.172%0.17%1.915%1.92%-1.000000x-1.000000x8.621190x8.621190x8.62x0.455%0.45%3.919%3.92%-1.000000x-1.000000x5.965579x5.965579x5.97x0.512%0.51%3.053%3.05%4-1.000000x-1.000000x4.650302x4.650302x4.65x0.440%0.44%2.046%2.05%5-1.000000x-1.000000x4.297266x4.297266x4.30x0.194%0.19%0.834%0.83%6-1.000000x-1.000000x4.217172x4.217172x4.22x1.096%1.10%4.623%4.62%7-1.000000x-1.000000x4.095048x4.095048x4.10x3.565%3.56%14.599%14.6%8-1.000000x-1.000000x3.334031x3.334031x3.33x0.609%0.61%2.031%2.03%9-1.000000x-1.000000x3.207986x3.207986x3.21x0.623%0.62%1.999%2.00%10-1.000000x-1.000000x2.792718x2.792718x2.79x2.425%2.42%6.772%6.77%11-1.000000x-1.000000x2.745645x2.745645x2.75x1.385%1.38%3.802%3.80%12-1.000000x-1.000000x2.711330x2.711330x2.71x1.468%1.47%3.980%3.98%13-1.000000x-1.000000x2.666798x2.666798x2.67x2.399%2.40%6.397%6.40%14-1.000000x-1.000000x2.458875x2.458875x2.46x5.182%5.18%12.743%12.7%15-1.000000x-1.000000x2.228944x2.228944x2.23x6.521%6.52%14.536%14.5%16-1.000000x-1.000000x2.124541x2.124541x2.12x0.707%0.71%1.502%1.50%17-1.000000x-1.000000x2.108513x2.108513x2.11x1.190%1.19%2.509%2.51%18-1.000000x-1.000000x2.097391x2.097391x2.10x0.373%0.37%0.783%0.78%19-1.000000x-1.000000x1.963400x1.963400x1.96x1.757%1.76%3.450%3.45%20-1.000000x-1.000000x1.951876x1.951876x1.95x1.609%1.61%3.140%3.14%21-1.000000x-1.000000x1.897170x1.897170x1.90x1.429%1.43%2.710%2.71%22-1.000000x-1.000000x1.837161x1.837161x1.84x1.523%1.52%2.798%2.80%23-1.000000x-1.000000x1.837045x1.837045x1.84x1.943%1.94%3.569%3.57%24-1.000000x-1.000000x1.829345x1.829345x1.83x1.872%1.87%3.425%3.42%-1.000000x-1.000000x1.807883x1.807883x1.81x0.794%0.79%1.436%1.44%25-1.000000x-1.000000x1.778046x1.778046x1.78x1.667%1.67%2.965%2.96%-1.000000x-1.000000x1.751954x1.751954x1.75x1.884%1.88%3.300%3.30%26-1.000000x-1.000000x1.729572x1.729572x1.73x2.467%2.47%4.267%4.27%27-1.000000x-1.000000x1.710319x1.710319x1.71x2.286%2.29%3.911%3.91%28-1.000000x-1.000000x1.704694x1.704694x1.70x0.893%0.89%1.522%1.52%29-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%30-1.000000x-1.000000x1.645347x1.645347x1.65x2.143%2.14%3.526%3.53%-1.000000x-1.000000x1.601745x1.601745x1.60x4.222%4.22%6.762%6.76%31-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.348361x1.348361x1.35x10.663%10.7%14.378%14.4%32-1.000000x-1.000000x1.325946x1.325946x1.33x1.359%1.36%1.802%1.80%33-1.000000x-1.000000x1.320170x1.320170x1.32x1.829%1.83%2.414%2.41%34-1.000000x-1.000000x1.291392x1.291392x1.29x1.838%1.84%2.373%2.37%35-1.000000x-1.000000x1.160385x1.160385x1.16x4.041%4.04%4.689%4.69%36-1.000000x-1.000000x1.065714x1.065714x1.07x2.421%2.42%2.580%2.58%37-1.000000x-1.000000x1.017229x1.017229x1.02x2.752%2.75%2.800%2.80%38-1.021955x-1.021955x1.02x1.000000x1.000000x1.683%1.68%1.647%1.65%39-1.209174x-1.209174x1.21x1.000000x1.000000x1.299%1.30%1.074%1.07%40-1.339801x-1.339801x1.34x1.000000x1.000000x2.012%2.01%1.502%1.50%41-1.435245x-1.435245x1.44x1.000000x1.000000x0.676%0.68%0.471%0.47%42-1.810066x-1.810066x1.81x1.000000x1.000000x2.708%2.71%1.496%1.50%43-2.263422x-2.263422x2.26x1.000000x1.000000x4.121%4.12%1.821%1.82%44-2.347612x-2.347612x2.35x1.000000x1.000000x3.928%3.93%1.673%1.67%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.357%0.36%0.000%0%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.526%1.53%0.000%0%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.038%1.04%0.000%0%48
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 48 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 Chester Township to the 50 most populous county subdivisions in Michigan and to those entities that contain or substantially overlap with the Chester 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 Chester Township, selected other county subdivisions in Michigan, and entities that contain the Chester 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 TownshipClintonGrand Rapids and Wyoming Metro AreaGrand RapidsKalamazooYpsilanti Charter TownshipYpsilanti020100Tract 020100Shelby Charter TownshipShelbyWaterford Charter TownshipWaterfordChesterfield TownshipChesterfieldOttawa CountyOttawaSt. Clair ShoresSt. Clair ShrsPittsfield Charter TownshipPittsfieldSouthfieldChester TownshipChesterMacomb 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%3,7471910.719464%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%7,055219.889035%9.889035%9.9%65,53865.5k9.488289%9.488289%9.5%3,727229.094276%9.094276%9.1%3,192238.823529%8.823529%8.8%3068.716124%8.716124%8.7%4,776248.259673%8.259673%8.3%4,261258.254939%8.254939%8.3%2,457268.254713%8.254713%8.3%14,00814.0k7.758389%7.758389%7.8%3,468277.601345%7.601345%7.6%1,877287.268247%7.268247%7.3%3,805297.264640%7.264640%7.3%986.500832%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 Chester Township, selected other county subdivisions in Michigan, and entities that contain the Chester 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 RapidsOttawa CountyOttawaKentwoodGrand Rapids and Wyoming Metro AreaGrand RapidsUnited States of AmericaUnited StatesYpsilanti Charter TownshipYpsilantiMidwestDearbornEast North CentralSterling HeightsSterling HtsMichiganWaterford Charter TownshipWaterfordLansingSt. Clair ShoresSt. Clair ShrsHolland Charter TownshipHollandChesterfield TownshipChesterfieldChester TownshipChesterClinton Charter TownshipClintonBattle CreekWyomingDearborn HeightsDearborn HtsRedford Charter TownshipRedfordWestland020100Tract 020100WarrenDetroitPontiacRosevilleMuskegonSaginawFlintTaylorLincoln 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%39,86339.9k2631.602798%31.602798%31.6%53,62953.6k31.594775%31.594775%31.6%10,40110.4k2730.838164%30.838164%30.8%204,375204k30.315023%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%6,8643521.571534%21.571534%21.6%29121.521420%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%10,84710.8k4117.647059%17.647059%17.6%61217.280259%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#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 Chester Township, selected other county subdivisions in Michigan, and entities that contain the Chester 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 TownshipOrionGrand Rapids and Wyoming Metro AreaGrand RapidsKentwoodOttawa CountyOttawaDearborn HeightsDearborn HtsChester TownshipChesterHolland Charter TownshipHollandGeorgetown Charter TownshipGeorgetownMacomb TownshipMacombSt. Clair ShoresSt. Clair ShrsRedford Charter TownshipRedfordBattle CreekWaterford Charter TownshipWaterfordSterling HeightsSterling HtsClinton Charter TownshipClintonDetroitSaginawWyomingWarren020100Tract 020100Chesterfield 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%5,360510.176973%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%650272.626997%2.626997%2.6%17,41017.4k2.545565%2.545565%2.5%838282.298803%2.298803%2.3%3,9012.268878%2.268878%2.3%844292.223870%2.223870%2.2%302.150168%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%963421.038062%1.038062%1.0%361.028088%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#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 Chester Township, selected other county subdivisions in Michigan, and entities that contain the Chester Township
Female
Male
2x1x0x1x2xFM#ChesterYpsilantiSouthfieldRoyal OakPortageTaylorMidlandMuskegonPontiacDetroitKentwoodRedfordKalamazooEast LansingGrand RapidsMichiganMidwestEast North CentralLivoniaFlintTract 020100United StatesLansingGrand RapidsBattle CreekGrand BlancLincoln ParkWyomingChesterfieldWarrenWestlandNoviRosevilleOttawaSaginawMeridianSt. Clair ShrsWaterfordHollandClintonAnn ArborFarmington HlsMacombGeorgetownIndependenceW BloomfieldShelbyCantonSterling HtsPittsfieldOrionTroySaginawCommerceDearborn HtsRochester HlsDearbornBloomfield-1.000000x-1.000000x2.070322x2.070322x2.07x4.697%4.70%9.724%9.72%-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-1.000000x1.154260x1.154260x1.15x9.199%9.20%10.618%10.6%-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-1.000000x1.109883x1.109883x1.11x8.367%8.37%9.286%9.29%-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-1.000000x1.025980x1.025980x1.03x8.152%8.15%8.363%8.36%-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 Chester Township, selected other county subdivisions in Michigan, and entities that contain the Chester Township
Female
Male
0x5x10xFM#Tract 020100ChesterLincoln ParkMidlandFarmington HlsOrionSt. Clair ShrsW BloomfieldDearborn HtsMuskegonGrand BlancBloomfieldWyomingKentwoodRoyal OakDearbornHollandGrand RapidsTroySaginawClintonPortageOttawaWarrenRochester HlsShelbyLivoniaMeridianGrand RapidsMichiganNoviPittsfieldEast North CentralMidwestChesterfieldSouthfieldSaginawPontiacCantonUnited StatesAnn ArborYpsilantiWaterfordSterling HtsKalamazooEast LansingTaylorLansingCommerceGeorgetownBattle CreekMacombDetroitRedfordRosevilleIndependenceWestlandFlint-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.172%0.17%1.915%1.92%-1.000000x-1.000000x8.621190x8.621190x8.62x0.455%0.45%3.919%3.92%-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-1.000000x1.829345x1.829345x1.83x1.872%1.87%3.425%3.42%-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-1.000000x1.778046x1.778046x1.78x1.667%1.67%2.965%2.96%-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-1.000000x1.313093x1.313093x1.31x2.454%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 Chester Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Chester 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 Chester Township, selected other county subdivisions in the Midwest, and entities that contain the Chester 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 TownshipLawrenceMichiganGrand Rapids and Wyoming Metro AreaGrand RapidsSioux Falls020100Tract 020100Capital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineOttawa CountyOttawaSchaumburg TownshipSchaumburgChester TownshipChesterLincolnWashington 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%29,34729.3k3010.767091%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%676,467676k9.889035%9.889035%9.9%65,53865.5k9.702326%9.702326%9.7%9,123348.823529%8.823529%8.8%3068.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695378.254713%8.254713%8.3%14,00814.0k7.739434%7.739434%7.7%7,226387.264640%7.264640%7.3%987.092309%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 Chester Township, selected other county subdivisions in the Midwest, and entities that contain the Chester 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 RapidsOttawa CountyOttawaGrand Rapids and Wyoming Metro AreaGrand RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralSterling HeightsSterling HtsMichiganTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordChester TownshipChesterAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledo020100Tract 020100DaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2831.602798%31.602798%31.6%53,62953.6k30.838164%30.838164%30.8%204,375204k30.315023%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%25,23525.2k3721.571534%21.571534%21.6%29120.213821%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%33,17133.2k4217.647059%17.647059%17.6%61217.635555%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#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 Chester Township, selected other county subdivisions in the Midwest, and entities that contain the Chester 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 FallsOlatheMichiganGrand Rapids and Wyoming Metro AreaGrand RapidsCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaOttawa CountyOttawaChester TownshipChesterProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarren020100Tract 020100Blue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.809013%2.809013%2.8%187,723188k2.626997%2.626997%2.6%17,41017.4k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.298803%2.298803%2.3%3,9012.223870%2.223870%2.2%302.213918%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%963471.038062%1.038062%1.0%360.997751%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#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 Chester Township, selected other county subdivisions in the Midwest, and entities that contain the Chester Township
Female
Male
1x0x1x2xFM#ChesterCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipGrand RapidsMichiganWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsTract 020100United StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipOttawaSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x2.070322x2.070322x2.07x4.697%4.70%9.724%9.72%-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-1.000000x1.154260x1.154260x1.15x9.199%9.20%10.618%10.6%-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-1.000000x1.109883x1.109883x1.11x8.367%8.37%9.286%9.29%-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-1.000000x1.025980x1.025980x1.03x8.152%8.15%8.363%8.36%-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 Chester Township, selected other county subdivisions in the Midwest, and entities that contain the Chester Township
Female
Male
0x5x10xFM#Tract 020100ChesterRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronGrand RapidsLisleWichitaYork TownshipMaineOttawaWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaMichiganFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.172%0.17%1.915%1.92%-1.000000x-1.000000x8.621190x8.621190x8.62x0.455%0.45%3.919%3.92%-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-1.000000x1.829345x1.829345x1.83x1.872%1.87%3.425%3.42%-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-1.000000x1.778046x1.778046x1.78x1.667%1.67%2.965%2.96%-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-1.000000x1.346658x1.346658x1.35x2.491%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 Chester Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Chester 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 Chester Township, selected other county subdivisions in the United States, and entities that contain the Chester 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 HarrisMichiganWashingtonGrand Rapids and Wyoming Metro AreaGrand RapidsAtlantaSeattle020100Tract 020100Northeast TarrantNE TarrantOttawa CountyOttawaChester TownshipChesterPlanoSeattle 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%43,65343.7k4110.719464%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%46,51046.5k459.889035%9.889035%9.9%65,53865.5k9.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.823529%8.823529%8.8%3068.418271%8.418271%8.4%31,44331.4k488.254713%8.254713%8.3%14,00814.0k7.264640%7.264640%7.3%985.714681%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 Chester Township, selected other county subdivisions in the United States, and entities that contain the Chester 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 CityAlbuquerqueTampaTucsonOttawa CountyOttawaOceanside-EscondidoOceanside-Escond…TulsaGrand Rapids and Wyoming Metro AreaGrand RapidsQueensUnited 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 VegasChester TownshipChesterEl PasoBronx020100Tract 020100San BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.602798%31.602798%31.6%53,62953.6k31.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.838164%30.838164%30.8%204,375204k30.595789%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%271,037271k4521.571534%21.571534%21.6%29121.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4717.647059%17.647059%17.6%61216.375473%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#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 Chester Township, selected other county subdivisions in the United States, and entities that contain the Chester 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 TarrantGrand Rapids and Wyoming Metro AreaGrand RapidsEast San Gabriel ValleyE San Gabriel VlyOntarioOttawa CountyOttawaChester TownshipChesterFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit020100Tract 02010012.461852%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%9,827392.626997%2.626997%2.6%17,41017.4k2.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.298803%2.298803%2.3%3,9012.223870%2.223870%2.2%302.173239%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%5,693501.038062%1.038062%1.0%36
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 Chester Township, selected other county subdivisions in the United States, and entities that contain the Chester Township
Female
Male
1x0x1x2xFM#Chester1, CharlotteDetroitBaltimoreTulsaSW DallasGrand RapidsMichiganMidwestFresnoEast North CentralMilwaukeeTract 020100United StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxOttawaPlanoBrooklynSan 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-1.000000x2.070322x2.070322x2.07x4.697%4.70%9.724%9.72%-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-1.000000x1.154260x1.154260x1.15x9.199%9.20%10.618%10.6%-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-1.000000x1.109883x1.109883x1.11x8.367%8.37%9.286%9.29%-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-1.000000x1.025980x1.025980x1.03x8.152%8.15%8.363%8.36%-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 Chester Township, selected other county subdivisions in the United States, and entities that contain the Chester Township
Female
Male
0x5x10xFM#Tract 020100ChesterEl PasoSalt Lk CityGrand RapidsPlanoOttawaTulsaAlbuquerqueNE 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…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.172%0.17%1.915%1.92%-1.000000x-1.000000x8.621190x8.621190x8.62x0.455%0.45%3.919%3.92%-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-1.000000x1.829345x1.829345x1.83x1.872%1.87%3.425%3.42%-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.778046x1.778046x1.78x1.667%1.67%2.965%2.96%-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-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Michigan
County:
Ottawa
Metro Area:
Grand Rapids Area
ZIP Codes:
49318, 49330, 49403, 49451
Unified School Districts:
Coopersville, Kent City, Ravenna, Sparta
Congressional District:
MI-2
State Senate District:
MI-30
State House District:
MI-88
Neighboring Charter Townships:
Polkton
Neighboring Townships:
Alpine, Casnovia, Moorland, Ravenna, Sparta, Tyrone, Wright
Nearby Charter Townships:
Plainfield, Tallmadge
Nearby Townships:
Algoma, Ashland, Bridgeton, Solon, Sullivan