Educational Attainment in the Chester Township, Geauga County, Ohio (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Geauga County and the Chester Township
Chester Township
Geauga County
0%10%20%30%40%CountHigher Degree1H.S. Diploma2No H.S. Diploma245.339652%45.372535%45.339652%45.3%3,44449.394418%45.698866%49.394418%49.4%3,7525.265929%8.928599%5.265929%5.3%400
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 Geauga County at large.
Scope: population of Geauga County and the Chester Township
-40%-20%-0%+20%+40%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-0.072472%-0.072472%-0.1%45.340%45.3%45.373%45.4%8.086749%8.086749%+8.1%49.394%49.4%45.699%45.7%-41.021775%-41.021775%-41.0%5.266%5.27%8.929%8.93%
% percentage with given level in the Chester Township
ref. percentage with given level in Geauga 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 Geauga County and the Chester Township
Chester Township
Geauga County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.711427%1.237861%1.711427%1.7%1301.606108%2.022310%1.606108%1.6%1227.951553%9.804045%7.951553%8.0%60427.066877%24.204961%27.066877%27.1%2,0567.003686%8.103359%7.003686%7.0%53221.090047%18.688715%21.090047%21.1%1,60228.304371%27.010151%28.304371%28.3%2,1503.896788%3.352735%3.896788%3.9%2960.566087%4.962425%0.566087%0.6%430.803054%0.613439%0.803054%0.8%61
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 Geauga County at large.
Scope: population of Geauga County and the Chester Township
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None38.256844%38.256844%+38.3%1.711%1.71%1.238%1.24%-20.580490%-20.580490%-20.6%1.606%1.61%2.022%2.02%-18.895173%-18.895173%-18.9%7.952%7.95%9.804%9.80%11.823677%11.823677%+11.8%27.067%27.1%24.205%24.2%-13.570581%-13.570581%-13.6%7.004%7.00%8.103%8.10%12.849104%12.849104%+12.8%21.090%21.1%18.689%18.7%4.791606%4.791606%+4.8%28.304%28.3%27.010%27.0%16.227120%16.227120%+16.2%3.897%3.90%3.353%3.35%-88.592524%-88.592524%-88.6%0.566%0.57%4.962%4.96%30.910164%30.910164%+30.9%0.803%0.80%0.613%0.61%
% percentage with given level in the Chester Township
ref. percentage with given level in Geauga 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 Geauga County and the Chester Township
More Females More Males
Geauga County
Chester Township
0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-6.176157%-6.744336%-6.176157%6%46.643%46.6%43.930%43.9%3.539775%3.786105%3.539775%4%48.569%48.6%50.288%50.3%20.757445%15.124106%20.757445%21%4.788%4.79%5.782%5.78%
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 Geauga County and the Chester Township
More Females More Males
Geauga County
Chester Township
500%0%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None152.388782%114.103013%152.388782%152%0.988%0.99%2.494%2.49%168.871315%85.481030%168.871315%169%0.887%0.89%2.384%2.38%-16.324317%26.842872%26.842872%27%7.043%7.04%8.934%8.93%-21.842171%-3.926130%-21.842171%22%29.617%29.6%24.308%24.3%-39.547112%-39.902966%-39.547112%40%8.107%8.11%5.810%5.81%-23.132045%-2.042760%-23.132045%23%23.182%23.2%18.827%18.8%23.927426%7.986550%23.927426%24%25.386%25.4%31.461%31.5%67.844757%42.427456%67.844757%68%2.939%2.94%4.933%4.93%65.431303%8.549197%65.431303%65%0.431%0.43%0.713%0.71%-935.439574%-74.180565%-935.439574%935%1.419%1.42%0.137%0.14%
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 Geauga County and the Chester Township
Chester Township
Geauga County
0%10%20%30%40%50%B.X.Total65+45-6435-4425-3423.877177%18.501475%23.877177%23.9%5212,18224.665924%26.508916%24.665924%24.7%8863,59221.979068%24.161815%21.979068%22.0%2311,05154.215305%28.107474%54.215305%54.2%418771
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 Geauga County at large.
Scope: population of Geauga County and the Chester Township
0%20%40%60%80%%ref.65+45-6435-4425-3429.055532%29.055532%29.1%23.877%23.9%18.501%18.5%-6.952348%-6.952348%7.0%24.666%24.7%26.509%26.5%-9.033872%-9.033872%9.0%21.979%22.0%24.162%24.2%92.885727%92.885727%92.9%54.215%54.2%28.107%28.1%
% percentage in the Chester Township with a Bachelor's degree
ref percentage in Geauga 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 Geauga County and the Chester Township
More Females More Males
Geauga County
Chester Township
40%20%0%20%FM65+45-6435-4425-34-2.937724%-2.937724%2.9%23.052779%24.168%24.2%23.478%23.5%-35.333695%-13.192079%-35.333695%35.3%28.522%28.5%21.075%21.1%-4.024608%23.049281%23.049281%23.0%19.858%19.9%24.435%24.4%-58.348329%-17.800941%-58.348329%58.3%66.324%66.3%41.885%41.9%
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 Geauga County and the Chester Township
Chester Township
Geauga County
$0k$20k$40k$60k$80kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$81,111.000000$73,666.000000$81,111.000000$81.1k85611.269%11.3%$45,729.000000$61,225.000000$45,729.000000$45.7k2,05627.067%27.1%$40,940.000000$40,029.000000$40,940.000000$40.9k2,13428.094%28.1%$33,594.000000$35,751.000000$33,594.000000$33.6k2,15028.304%28.3%$22,461.000000$31,283.000000$22,461.000000$22.5k4005.266%5.27%$41,904.000000$43,940.000000$41,904.000000$41.9k7,596100.000%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 Geauga County and the Chester Township
Female Male
Geauga County
Chester Township
Shaded bar tips show excess over facing bar.
$50k$0k$50k$100kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-64,153.000000$-58,427.000000$-64,153.000000$64.2k$64,153.000000$31,993.000000$58,427.000000$41,766.000000$96,146.000000$96.1k352504$-31,950.000000$-38,259.000000$-31,950.000000$32.0k$31,950.000000$42,217.000000$38,259.000000$43,512.000000$74,167.000000$74.2k1,169887$-36,000.000000$-31,057.000000$-36,000.000000$36.0k$36,000.000000$7,571.000000$31,057.000000$18,754.000000$43,571.000000$43.6k1,235899$-21,503.000000$-24,638.000000$-21,503.000000$21.5k$21,503.000000$23,305.000000$24,638.000000$18,157.000000$44,808.000000$44.8k1,0021,148$-21,275.000000$-10,444.000000$-21,275.000000$21.3k$21,275.000000$14,206.000000$10,444.000000$25,885.000000$35,481.000000$35.5k189211$-33,229.000000$-32,297.000000$-33,229.000000$33.2k$33,229.000000$22,842.000000$32,297.000000$21,879.000000$56,071.000000$56.1k3,9473,649
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 Geauga County and the Chester Township
Chester Township
Geauga County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma388.697572%84.436871%88.697572%88.7%2,00984.737175%78.973756%84.737175%84.7%1,33877.827051%71.908682%77.827051%77.8%1,05368.202765%59.840213%68.202765%68.2%148
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 Geauga County and the Chester Township
Female Male
Geauga County
Chester Township
Shaded bar tips show excess over facing bar.
10%0%10%20%MFWhite1AsianHispanic2-4.872390%-8.205096%-4.872390%4.9%4.872390%0.982216%8.205096%1.384221%5.854606%5.9%211189-0.000000%-0.000000%-12.371134%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.0%00-0.000000%-15.064935%0.000000%0.0%0.000000%0.000000%15.064935%6.963037%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Geauga County and the Chester Township
Female Male
Geauga County
Chester Township
Shaded bar tips show excess over facing bar.
100%50%0%50%100%MFWhite1AsianHispanic2-37.999484%-37.354046%-0.256322%-37.999484%38.0%37.999484%0.235810%37.354046%38.235294%38.2%1,3781,474-100.000000%-53.608247%-100.000000%100.0%100.000000%0.000000%53.608247%20.910983%100.000000%100.0%1313-0.000000%-61.818182%-16.783217%-5.034965%-61.818182%61.8%0.000000%16.783217%0.000000%0.0%034
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the Chester Township

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

Percentage of the population 25 years and older with given highest level of educational attainment
40.9%42.4%43.7%45.1%46.5%47.9%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
46.8%48.3%49.6%51.0%52.4%53.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5.2620%5.2642%5.2663%5.2684%5.2705%5.2726%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
1.49%1.61%1.73%1.85%1.96%2.09%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.68%0.97%1.27%1.56%1.85%2.15%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6.9%7.5%8.0%8.6%9.2%9.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
24.7%25.5%26.2%26.9%27.7%28.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.7%4.8%5.8%6.8%7.9%8.9%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
19.5%20.4%21.2%22.0%22.9%23.7%

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

Percentage of the population 25 years and older with given highest level of educational attainment
27.2%27.8%28.4%28.9%29.5%30.1%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
3.76%3.84%3.91%3.98%4.05%4.13%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.33%0.46%0.59%0.71%0.84%0.97%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.17%0.38%0.57%0.77%0.97%1.17%
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Educational Attainment by County Subdivision in the Cleveland Area

There are 155 county subdivisions in the Cleveland Area. This section compares the Chester Township to the 50 most populous county subdivisions in the Cleveland 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 11,697.

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Chester Township, selected other county subdivisions in the Cleveland Area, and entities that contain the Chester Township
0%5%10%15%20%Count#ClevelandPainesvilleEast ClevelandE ClevelandLorainGarfield HeightsGarfield HtsElyriaUnited States of AmericaUnited StatesBrook ParkMaple HeightsWarrensville HeightsWarrensville HtsEast North CentralEuclidOhioCleveland and Elyria Metro AreaClevelandEastlakeMidwestPainesville TownshipPainesvilleParmaAmherstParma HeightsGeauga CountyGeaugaBrunswickMadison TownshipMadisonWickliffeWillowickBedfordBereaMiddleburg HeightsMiddleburg HtsNorth RidgevilleN RidgevilleNorth OlmstedSouth EuclidNorth RoyaltonN RoyaltonSeven HillsWilloughbyMayfield HeightsMayfield HtsCleveland HeightsCleveland HtsLakewoodMedina City TownshipMedina CityWadsworthMentorChester TownshipChesterOlmsted TownshipOlmstedZIP Code 44026ZIP 44026LyndhurstFairview ParkBeachwoodAvonRocky RiverStrongsvilleWest Geauga Local School DistrictWest GeaugaConcord TownshipConcordShaker HeightsShaker HtsBroadview HeightsBroadview HtsAvon LakeUniversity HeightsUniv HtsWestlakeSolonBrecksvilleBay Village21.582420%21.582420%21.6%54,98155.0k120.849744%20.849744%20.8%2,488217.914527%17.914527%17.9%2,163317.551080%17.551080%17.6%7,207414.510698%14.510698%14.5%2,801513.343328%13.343328%13.3%4,806613.020590%13.020590%13.0%27,818,38027.8M12.963234%12.963234%13.0%1,770711.034573%11.034573%11.0%1,682810.730931%10.730931%10.7%944910.719464%10.719464%10.7%3,363,7843.36M10.656581%10.656581%10.7%3,5221010.514146%10.514146%10.5%825,155825k10.442639%10.442639%10.4%149,100149k10.350674%10.350674%10.4%1,3431110.244520%10.244520%10.2%4,641,8354.64M9.975739%9.975739%10.0%1,398129.939137%9.939137%9.9%5,683139.363689%9.363689%9.4%802149.090909%9.090909%9.1%1,338158.928599%8.928599%8.9%5,6918.335419%8.335419%8.3%1,998168.108320%8.108320%8.1%1,033178.090410%8.090410%8.1%766188.060028%8.060028%8.1%811197.995894%7.995894%8.0%701207.909558%7.909558%7.9%955217.780378%7.780378%7.8%931227.718312%7.718312%7.7%1,758237.388745%7.388745%7.4%1,745247.160545%7.160545%7.2%1,041256.923626%6.923626%6.9%1,552266.913201%6.913201%6.9%630276.723789%6.723789%6.7%1,130286.522968%6.522968%6.5%923296.307136%6.307136%6.3%1,918306.109570%6.109570%6.1%2,246315.475387%5.475387%5.5%941325.350505%5.350505%5.4%806335.268752%5.268752%5.3%1,834345.265929%5.265929%5.3%4005.260925%5.260925%5.3%496354.970009%4.970009%5.0%4064.607557%4.607557%4.6%489364.568315%4.568315%4.6%545374.446953%4.446953%4.4%394384.294007%4.294007%4.3%614394.264378%4.264378%4.3%631404.066023%4.066023%4.1%1,313414.055851%4.055851%4.1%4883.924694%3.924694%3.9%517423.811482%3.811482%3.8%723433.782309%3.782309%3.8%499443.695829%3.695829%3.7%591453.692666%3.692666%3.7%285463.561575%3.561575%3.6%852473.089942%3.089942%3.1%482482.613438%2.613438%2.6%254492.452291%2.452291%2.5%26650
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#29

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 Cleveland Area, and entities that contain the Chester Township
0%20%40%60%Count#Shaker HeightsShaker HtsBay VillageSolonUniversity HeightsUniv HtsBeachwoodRocky RiverBrecksvilleWestlakeAvon LakeCleveland HeightsCleveland HtsLyndhurstAvonBroadview HeightsBroadview HtsStrongsvilleWest Geauga Local School DistrictWest GeaugaLakewoodConcord TownshipConcordSouth EuclidChester TownshipChesterOlmsted TownshipOlmstedZIP Code 44026ZIP 44026Geauga CountyGeaugaMayfield HeightsMayfield HtsFairview ParkNorth RoyaltonN RoyaltonMedina City TownshipMedina CityWadsworthMiddleburg HeightsMiddleburg HtsSeven HillsBereaNorth RidgevilleN RidgevilleMentorWilloughbyUnited States of AmericaUnited StatesCleveland and Elyria Metro AreaClevelandNorth OlmstedMidwestEast North CentralOhioWickliffeAmherstBrunswickParma HeightsWillowickPainesville TownshipPainesvilleEuclidParmaBedfordMadison TownshipMadisonWarrensville HeightsWarrensville HtsEastlakeClevelandElyriaMaple HeightsPainesvilleGarfield HeightsGarfield HtsBrook ParkEast ClevelandE ClevelandLorain64.916443%64.916443%64.9%12,31412.3k163.953167%63.953167%64.0%6,937262.029617%62.029617%62.0%9,676356.970718%56.970718%57.0%4,397456.918736%56.918736%56.9%5,043555.159830%55.159830%55.2%8,162653.791542%53.791542%53.8%5,228752.478890%52.478890%52.5%12,55412.6k851.485210%51.485210%51.5%8,233950.973364%50.973364%51.0%15,50115.5k1048.327523%48.327523%48.3%5,1291147.199105%47.199105%47.2%6,7491245.713636%45.713636%45.7%6,0311344.614765%44.614765%44.6%14,40714.4k1444.597739%44.597739%44.6%5,36643.651053%43.651053%43.7%16,04716.0k1542.253093%42.253093%42.3%5,5661639.537763%39.537763%39.5%5,7481738.335966%38.335966%38.3%2,91238.300806%38.300806%38.3%3,6111838.205411%38.205411%38.2%3,12137.269176%37.269176%37.3%23,75523.8k37.243816%37.243816%37.2%5,2701936.915339%36.915339%36.9%4,4042035.960921%35.960921%36.0%8,0612135.552194%35.552194%35.6%6,1102235.428837%35.428837%35.4%5,3372334.623099%34.623099%34.6%4,1432434.500165%34.500165%34.5%3,1442532.880570%32.880570%32.9%3,9702632.559161%32.559161%32.6%7,4162732.238789%32.238789%32.2%11,22211.2k2830.721171%30.721171%30.7%5,1632930.315023%30.315023%30.3%64,767,78764.8M29.705211%29.705211%29.7%424,131424k29.008765%29.008765%29.0%6,8513028.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M26.667466%26.667466%26.7%2,092,8752.09M26.468103%26.468103%26.5%2,5063123.479276%23.479276%23.5%2,0113223.454318%23.454318%23.5%5,6223322.571001%22.571001%22.6%3,3223422.152654%22.152654%22.2%2,2293521.692593%21.692593%21.7%3,0403620.614221%20.614221%20.6%6,8133719.988457%19.988457%20.0%11,42911.4k3819.504962%19.504962%19.5%1,7103919.010989%19.010989%19.0%2,4224017.153575%17.153575%17.2%1,5094116.331407%16.331407%16.3%2,1194216.073076%16.073076%16.1%40,94640.9k4315.411739%15.411739%15.4%5,5514415.370990%15.370990%15.4%2,3434514.732255%14.732255%14.7%1,7584614.137699%14.137699%14.1%2,7294712.604365%12.604365%12.6%1,7214812.406825%12.406825%12.4%1,4984911.718579%11.718579%11.7%4,81250
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#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Chester Township, selected other county subdivisions in the Cleveland Area, and entities that contain the Chester Township
0%5%10%15%20%Count#Shaker HeightsShaker HtsBeachwoodSolonUniversity HeightsUniv HtsCleveland HeightsCleveland HtsRocky RiverBay VillageBrecksvilleWestlakeLyndhurstAvon LakeLakewoodBroadview HeightsBroadview HtsStrongsvilleConcord TownshipConcordMayfield HeightsMayfield HtsNorth RoyaltonN RoyaltonWest Geauga Local School DistrictWest GeaugaFairview ParkAvonSouth EuclidCleveland and Elyria Metro AreaClevelandUnited States of AmericaUnited StatesChester TownshipChesterZIP Code 44026ZIP 44026Geauga CountyGeaugaWadsworthSeven HillsMidwestEast North CentralOhioNorth RidgevilleN RidgevilleMedina City TownshipMedina CityBereaWickliffeWilloughbyNorth OlmstedAmherstClevelandMentorParma HeightsWillowickOlmsted TownshipOlmstedEuclidMiddleburg HeightsMiddleburg HtsPainesville TownshipPainesvilleMadison TownshipMadisonParmaBrunswickLorainElyriaEast ClevelandE ClevelandGarfield HeightsGarfield HtsEastlakeMaple HeightsWarrensville HeightsWarrensville HtsBrook ParkBedfordPainesville20.048500%20.048500%20.0%3,803116.331828%16.331828%16.3%1,447212.584140%12.584140%12.6%1,963312.101581%12.101581%12.1%934410.753042%10.753042%10.8%3,27058.616611%8.616611%8.6%1,27568.583018%8.583018%8.6%93178.354769%8.354769%8.4%81287.950840%7.950840%8.0%1,90295.512108%5.512108%5.5%585105.115377%5.115377%5.1%818115.051412%5.051412%5.1%1,857124.964754%4.964754%5.0%655134.555308%4.555308%4.6%1,471144.364989%4.364989%4.4%575154.268551%4.268551%4.3%604164.157744%4.157744%4.2%932174.097407%4.097407%4.1%4933.931266%3.931266%3.9%469183.755507%3.755507%3.8%537193.693768%3.693768%3.7%537203.424359%3.424359%3.4%48,89348.9k3.336158%3.336158%3.3%7,127,6737.13M3.317536%3.317536%3.3%2523.280695%3.280695%3.3%2683.260170%3.260170%3.3%2,0783.173128%3.173128%3.2%478213.149347%3.149347%3.1%287222.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.603504%2.603504%2.6%593232.432212%2.432212%2.4%418242.368726%2.368726%2.4%286252.260245%2.260245%2.3%214262.159943%2.159943%2.2%363272.108651%2.108651%2.1%498282.089901%2.089901%2.1%179291.927780%1.927780%1.9%4,911301.815622%1.815622%1.8%632311.746161%1.746161%1.7%257321.659710%1.659710%1.7%167331.591006%1.591006%1.6%150341.388805%1.388805%1.4%459351.345479%1.345479%1.3%161361.298701%1.298701%1.3%182371.287284%1.287284%1.3%164381.236490%1.236490%1.2%707391.001252%1.001252%1.0%240400.964372%0.964372%1.0%396410.952302%0.952302%1.0%343420.944178%0.944178%0.9%114430.870331%0.870331%0.9%168440.847784%0.847784%0.8%110450.741324%0.741324%0.7%113460.670683%0.670683%0.7%59470.644500%0.644500%0.6%88480.615946%0.615946%0.6%54490.502807%0.502807%0.5%6050
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#31

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Chester Township, selected other county subdivisions in the Cleveland Area, and entities that contain the Chester Township
Female
Male
1x0x1x2xFM#BedfordUniv HtsOlmstedWarrensville HtsEastlakeCleveland HtsMaple HeightsSouth EuclidWestlakeWillowickZIP 44026LyndhurstE ClevelandLorainChesterWilloughbyShaker HtsNorth OlmstedWickliffeElyriaWest GeaugaGeaugaParma HeightsMidwestEast North CentralN RidgevilleBrook ParkUnited StatesOhioConcordClevelandParmaPainesvilleClevelandMentorMiddleburg HtsBay VillageGarfield HtsPainesvilleAmherstSeven HillsMayfield HtsMadisonBereaEuclidSolonBrunswickFairview ParkBrecksvilleWadsworthRocky RiverN RoyaltonStrongsvilleLakewoodAvonMedina CityBeachwoodAvon LakeBroadview Hts-1.000000x-1.000000x2.068280x2.068280x2.07x5.439%5.44%11.249%11.2%1-1.000000x-1.000000x1.710483x1.710483x1.71x2.772%2.77%4.742%4.74%2-1.000000x-1.000000x1.651003x1.651003x1.65x4.015%4.01%6.628%6.63%3-1.000000x-1.000000x1.608701x1.608701x1.61x8.718%8.72%14.025%14.0%4-1.000000x-1.000000x1.571619x1.571619x1.57x8.111%8.11%12.747%12.7%5-1.000000x-1.000000x1.485471x1.485471x1.49x5.146%5.15%7.645%7.64%6-1.000000x-1.000000x1.465862x1.465862x1.47x9.237%9.24%13.541%13.5%7-1.000000x-1.000000x1.391112x1.391112x1.39x6.126%6.13%8.522%8.52%8-1.000000x-1.000000x1.381991x1.381991x1.38x3.030%3.03%4.188%4.19%9-1.000000x-1.000000x1.277044x1.277044x1.28x7.111%7.11%9.082%9.08%10-1.000000x-1.000000x1.250630x1.250630x1.25x4.438%4.44%5.550%5.55%-1.000000x-1.000000x1.245772x1.245772x1.25x4.143%4.14%5.161%5.16%11-1.000000x-1.000000x1.211261x1.211261x1.21x16.391%16.4%19.853%19.9%12-1.000000x-1.000000x1.207850x1.207850x1.21x16.045%16.0%19.380%19.4%13-1.000000x-1.000000x1.207574x1.207574x1.21x4.788%4.79%5.782%5.78%-1.000000x-1.000000x1.203297x1.203297x1.20x6.149%6.15%7.399%7.40%14-1.000000x-1.000000x1.201152x1.201152x1.20x3.499%3.50%4.203%4.20%15-1.000000x-1.000000x1.168106x1.168106x1.17x6.835%6.84%7.985%7.98%16-1.000000x-1.000000x1.166493x1.166493x1.17x7.495%7.49%8.743%8.74%17-1.000000x-1.000000x1.166450x1.166450x1.17x12.379%12.4%14.439%14.4%18-1.000000x-1.000000x1.152045x1.152045x1.15x3.777%3.78%4.352%4.35%-1.000000x-1.000000x1.151241x1.151241x1.15x8.319%8.32%9.577%9.58%-1.000000x-1.000000x1.146379x1.146379x1.15x8.531%8.53%9.780%9.78%19-1.000000x-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-1.000000x1.115916x1.115916x1.12x7.306%7.31%8.152%8.15%20-1.000000x-1.000000x1.114530x1.114530x1.11x12.294%12.3%13.702%13.7%21-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.101790x1.101790x1.10x3.740%3.74%4.121%4.12%22-1.000000x-1.000000x1.095211x1.095211x1.10x9.995%10.00%10.947%10.9%-1.000000x-1.000000x1.081824x1.081824x1.08x9.568%9.57%10.350%10.4%23-1.000000x-1.000000x1.075799x1.075799x1.08x20.113%20.1%21.638%21.6%24-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%25-1.000000x-1.000000x1.038813x1.038813x1.04x5.175%5.17%5.376%5.38%26-1.000000x-1.000000x1.035770x1.035770x1.04x7.651%7.65%7.924%7.92%27-1.000000x-1.000000x1.026812x1.026812x1.03x2.421%2.42%2.486%2.49%28-1.000000x-1.000000x1.013151x1.013151x1.01x14.429%14.4%14.619%14.6%29-1.015407x-1.015407x1.02x1.000000x1.000000x10.047%10.0%9.894%9.89%30-1.018418x-1.018418x1.02x1.000000x1.000000x9.443%9.44%9.273%9.27%31-1.050666x-1.050666x1.05x1.000000x1.000000x7.078%7.08%6.736%6.74%32-1.056715x-1.056715x1.06x1.000000x1.000000x6.680%6.68%6.322%6.32%33-1.062673x-1.062673x1.06x1.000000x1.000000x8.353%8.35%7.860%7.86%34-1.066144x-1.066144x1.07x1.000000x1.000000x8.144%8.14%7.639%7.64%35-1.084060x-1.084060x1.08x1.000000x1.000000x11.029%11.0%10.174%10.2%36-1.089000x-1.089000x1.09x1.000000x1.000000x3.213%3.21%2.950%2.95%37-1.093341x-1.093341x1.09x1.000000x1.000000x8.693%8.69%7.950%7.95%38-1.100106x-1.100106x1.10x1.000000x1.000000x4.780%4.78%4.345%4.34%39-1.121460x-1.121460x1.12x1.000000x1.000000x2.756%2.76%2.457%2.46%40-1.149126x-1.149126x1.15x1.000000x1.000000x5.690%5.69%4.952%4.95%41-1.159618x-1.159618x1.16x1.000000x1.000000x4.543%4.54%3.917%3.92%42-1.176302x-1.176302x1.18x1.000000x1.000000x7.451%7.45%6.334%6.33%43-1.209810x-1.209810x1.21x1.000000x1.000000x4.433%4.43%3.664%3.66%44-1.275391x-1.275391x1.28x1.000000x1.000000x6.820%6.82%5.347%5.35%45-1.279098x-1.279098x1.28x1.000000x1.000000x4.790%4.79%3.745%3.74%46-1.340312x-1.340312x1.34x1.000000x1.000000x6.200%6.20%4.626%4.63%47-1.483187x-1.483187x1.48x1.000000x1.000000x5.140%5.14%3.465%3.47%48-1.492804x-1.492804x1.49x1.000000x1.000000x4.365%4.36%2.924%2.92%49-1.816391x-1.816391x1.82x1.000000x1.000000x4.828%4.83%2.658%2.66%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#32

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Chester Township, selected other county subdivisions in the Cleveland Area, and entities that contain the Chester Township
Female
Male
10x5x0xFM#E ClevelandElyriaAvonPainesvilleAvon LakeLorainBereaChesterParma HeightsBroadview HtsAmherstNorth OlmstedWest GeaugaFairview ParkMedina CityConcordBeachwoodSolonZIP 44026BrecksvilleOlmstedShaker HtsRocky RiverGeaugaEuclidStrongsvilleWestlakeBedfordClevelandOhioLakewoodWillowickWickliffeEast North CentralUniv HtsBay VillageMidwestBrunswickMadisonMayfield HtsN RidgevilleUnited StatesSeven HillsLyndhurstParmaCleveland HtsGarfield HtsMentorSouth EuclidWadsworthClevelandMiddleburg HtsPainesvilleN RoyaltonWilloughbyEastlakeMaple HeightsBrook ParkWarrensville Hts-1.000000x-1.000000x4.099026x4.099026x4.10x0.399%0.40%1.637%1.64%1-1.000000x-1.000000x3.557903x3.557903x3.56x0.433%0.43%1.542%1.54%2-1.000000x-1.000000x3.112010x3.112010x3.11x1.876%1.88%5.838%5.84%3-1.000000x-1.000000x3.026558x3.026558x3.03x0.668%0.67%2.022%2.02%4-1.000000x-1.000000x2.796983x2.796983x2.80x2.789%2.79%7.801%7.80%5-1.000000x-1.000000x2.695011x2.695011x2.70x0.546%0.55%1.472%1.47%6-1.000000x-1.000000x2.685854x2.685854x2.69x1.329%1.33%3.570%3.57%7-1.000000x-1.000000x2.601846x2.601846x2.60x1.875%1.87%4.878%4.88%-1.000000x-1.000000x2.536696x2.536696x2.54x1.034%1.03%2.623%2.62%8-1.000000x-1.000000x2.517530x2.517530x2.52x2.868%2.87%7.219%7.22%9-1.000000x-1.000000x2.505499x2.505499x2.51x1.227%1.23%3.074%3.07%10-1.000000x-1.000000x2.498101x2.498101x2.50x1.225%1.22%3.060%3.06%11-1.000000x-1.000000x2.450326x2.450326x2.45x2.405%2.41%5.893%5.89%-1.000000x-1.000000x2.385357x2.385357x2.39x2.349%2.35%5.603%5.60%12-1.000000x-1.000000x2.352720x2.352720x2.35x1.499%1.50%3.526%3.53%13-1.000000x-1.000000x2.279355x2.279355x2.28x2.695%2.69%6.142%6.14%14-1.000000x-1.000000x2.199942x2.199942x2.20x10.914%10.9%24.011%24.0%15-1.000000x-1.000000x2.185846x2.185846x2.19x8.098%8.10%17.700%17.7%16-1.000000x-1.000000x2.154311x2.154311x2.15x2.113%2.11%4.552%4.55%-1.000000x-1.000000x2.150161x2.150161x2.15x5.394%5.39%11.597%11.6%17-1.000000x-1.000000x2.129422x2.129422x2.13x1.034%1.03%2.202%2.20%18-1.000000x-1.000000x2.000369x2.000369x2.00x13.882%13.9%27.769%27.8%19-1.000000x-1.000000x1.997321x1.997321x2.00x5.968%5.97%11.919%11.9%20-1.000000x-1.000000x1.957255x1.957255x1.96x2.227%2.23%4.360%4.36%-1.000000x-1.000000x1.903271x1.903271x1.90x0.997%1.00%1.897%1.90%21-1.000000x-1.000000x1.769961x1.769961x1.77x3.331%3.33%5.895%5.90%22-1.000000x-1.000000x1.716333x1.716333x1.72x5.983%5.98%10.269%10.3%23-1.000000x-1.000000x1.715002x1.715002x1.72x0.469%0.47%0.804%0.80%24-1.000000x-1.000000x1.673200x1.673200x1.67x2.601%2.60%4.352%4.35%-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.624128x1.624128x1.62x3.883%3.88%6.306%6.31%25-1.000000x-1.000000x1.607135x1.607135x1.61x1.284%1.28%2.064%2.06%26-1.000000x-1.000000x1.599350x1.599350x1.60x1.758%1.76%2.811%2.81%27-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.597623x1.597623x1.60x9.460%9.46%15.114%15.1%28-1.000000x-1.000000x1.590996x1.590996x1.59x6.703%6.70%10.664%10.7%29-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.589517x1.589517x1.59x0.780%0.78%1.240%1.24%30-1.000000x-1.000000x1.545720x1.545720x1.55x1.013%1.01%1.566%1.57%31-1.000000x-1.000000x1.543882x1.543882x1.54x3.447%3.45%5.322%5.32%32-1.000000x-1.000000x1.536235x1.536235x1.54x2.064%2.06%3.171%3.17%33-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.494601x1.494601x1.49x2.543%2.54%3.801%3.80%34-1.000000x-1.000000x1.478430x1.478430x1.48x4.524%4.52%6.689%6.69%35-1.000000x-1.000000x1.433883x1.433883x1.43x1.025%1.03%1.470%1.47%36-1.000000x-1.000000x1.416609x1.416609x1.42x9.009%9.01%12.763%12.8%37-1.000000x-1.000000x1.416359x1.416359x1.42x0.738%0.74%1.045%1.05%38-1.000000x-1.000000x1.325696x1.325696x1.33x1.576%1.58%2.089%2.09%39-1.000000x-1.000000x1.320615x1.320615x1.32x3.245%3.24%4.285%4.28%40-1.000000x-1.000000x1.298874x1.298874x1.30x2.790%2.79%3.624%3.62%41-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%42-1.000000x-1.000000x1.274974x1.274974x1.27x1.190%1.19%1.518%1.52%43-1.000000x-1.000000x1.144459x1.144459x1.14x0.470%0.47%0.538%0.54%44-1.000000x-1.000000x1.005152x1.005152x1.01x4.148%4.15%4.169%4.17%45-1.033709x-1.033709x1.03x1.000000x1.000000x2.193%2.19%2.121%2.12%46-1.349900x-1.349900x1.35x1.000000x1.000000x0.969%0.97%0.718%0.72%47-2.966328x-2.966328x2.97x1.000000x1.000000x1.025%1.03%0.346%0.35%48-4.074239x-4.074239x4.07x1.000000x1.000000x1.005%1.00%0.247%0.25%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.062%1.06%0.030%0.03%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 Ohio

There are 1,606 county subdivisions in Ohio. This section compares the Chester Township to the 50 most populous county subdivisions in Ohio 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 36,945.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Chester Township, selected other county subdivisions in Ohio, and entities that contain the Chester Township
0%5%10%15%20%Count#ClevelandMiddletownLorainYoungstownSpringfieldDaytonMansfieldLimaMarion TownshipMarionCantonHamiltonWarrenToledoCincinnatiAkronElyriaUnited States of AmericaUnited StatesNewarkBath TownshipLancaster City TownshipLancaster CityColumbusColerain TownshipColerainEast North CentralEuclidOhioCleveland and Elyria Metro AreaClevelandMidwestParmaFindlayGeauga CountyGeaugaFairfieldMiami TownshipMiamiUnion TownshipUnionHuber HeightsJackson TownshipJacksonCleveland HeightsCleveland HtsCuyahoga FallsPlain TownshipPlainLakewoodKetteringGreen TownshipGrnBoardman TownshipBoardmanWest Chester TownshipW ChesterMiami TownshipMiamiMifflin TownshipMifflinMentorChester TownshipChesterLiberty TownshipLibertyZIP Code 44026ZIP 44026Sylvania TownshipSylvaniaStrongsvilleWest Geauga Local School DistrictWest GeaugaViolet TownshipVioletJackson TownshipJacksonWashington TownshipWashingtonAnderson TownshipAndersonDeerfield TownshipDeerfieldBeavercreek TownshipBeavercreekDublin21.582420%21.582420%21.6%54,98155.0k118.211726%18.211726%18.2%5,591217.551080%17.551080%17.6%7,207316.999061%16.999061%17.0%7,424416.947843%16.947843%16.9%6,580516.928359%16.928359%16.9%14,88914.9k616.499446%16.499446%16.5%5,361716.278163%16.278163%16.3%3,757815.742056%15.742056%15.7%4,875915.631958%15.631958%15.6%7,3021015.293656%15.293656%15.3%6,2341115.055107%15.055107%15.1%4,0981214.332972%14.332972%14.3%26,34326.3k1313.761583%13.761583%13.8%26,28626.3k1413.591726%13.591726%13.6%17,95118.0k1513.343328%13.343328%13.3%4,8061613.020590%13.020590%13.0%27,818,38027.8M12.943290%12.943290%12.9%4,1061712.411362%12.411362%12.4%3,0631812.375999%12.375999%12.4%3,3311911.376979%11.376979%11.4%60,83160.8k2010.847918%10.847918%10.8%4,3142110.719464%10.719464%10.7%3,363,7843.36M10.656581%10.656581%10.7%3,5222210.514146%10.514146%10.5%825,155825k10.442639%10.442639%10.4%149,100149k10.244520%10.244520%10.2%4,641,8354.64M9.939137%9.939137%9.9%5,683239.003845%9.003845%9.0%2,482248.928599%8.928599%8.9%5,6918.712972%8.712972%8.7%2,559258.614662%8.614662%8.6%3,080268.597523%8.597523%8.6%2,777277.261193%7.261193%7.3%1,797286.480864%6.480864%6.5%1,944296.307136%6.307136%6.3%1,918306.197364%6.197364%6.2%2,215316.171554%6.171554%6.2%2,311326.109570%6.109570%6.1%2,246335.953744%5.953744%6.0%2,340345.804316%5.804316%5.8%2,402355.764815%5.764815%5.8%1,682365.727981%5.727981%5.7%2,390375.628396%5.628396%5.6%1,554385.595517%5.595517%5.6%1,408395.268752%5.268752%5.3%1,834405.265929%5.265929%5.3%4005.136204%5.136204%5.1%1,169414.970009%4.970009%5.0%4064.322119%4.322119%4.3%1,462424.066023%4.066023%4.1%1,313434.055851%4.055851%4.1%4883.979966%3.979966%4.0%1,041443.830735%3.830735%3.8%1,118453.637690%3.637690%3.6%1,496463.351036%3.351036%3.4%978473.293195%3.293195%3.3%815483.105178%3.105178%3.1%1,170491.754602%1.754602%1.8%42850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Chester Township, selected other county subdivisions in Ohio, and entities that contain the Chester Township
0%20%40%60%Count#DublinDeerfield TownshipDeerfieldAnderson TownshipAndersonWashington TownshipWashingtonBeavercreek TownshipBeavercreekCleveland HeightsCleveland HtsLiberty TownshipLibertyWest Chester TownshipW ChesterSylvania TownshipSylvaniaStrongsvilleWest Geauga Local School DistrictWest GeaugaMifflin TownshipMifflinViolet TownshipVioletLakewoodMiami TownshipMiamiJackson TownshipJacksonChester TownshipChesterZIP Code 44026ZIP 44026Geauga CountyGeaugaColumbusCincinnatiKetteringPlain TownshipPlainGreen TownshipGrnCuyahoga FallsMentorBoardman TownshipBoardmanUnited States of AmericaUnited StatesCleveland and Elyria Metro AreaClevelandUnion TownshipUnionJackson TownshipJacksonMidwestEast North CentralFairfieldBath TownshipFindlayMiami TownshipMiamiOhioHuber HeightsColerain TownshipColerainEuclidAkronParmaNewarkToledoDaytonMiddletownLancaster City TownshipLancaster CityClevelandElyriaHamiltonSpringfieldCantonMansfieldWarrenYoungstownLorainLimaMarion TownshipMarion75.246997%75.246997%75.2%18,35518.4k157.851139%57.851139%57.9%14,31714.3k256.039061%56.039061%56.0%16,35516.4k352.483891%52.483891%52.5%21,58421.6k451.261976%51.261976%51.3%19,31519.3k550.973364%50.973364%51.0%15,50115.5k650.549209%50.549209%50.5%11,50511.5k747.424805%47.424805%47.4%19,78819.8k846.115414%46.115414%46.1%15,59915.6k944.614765%44.614765%44.6%14,40714.4k1044.597739%44.597739%44.6%5,36643.925605%43.925605%43.9%11,05311.1k1143.657287%43.657287%43.7%11,41911.4k1243.651053%43.651053%43.7%16,04716.0k1342.654835%42.654835%42.7%11,77711.8k1441.432243%41.432243%41.4%12,09212.1k1538.335966%38.335966%38.3%2,91238.205411%38.205411%38.2%3,12137.269176%37.269176%37.3%23,75523.8k34.685843%34.685843%34.7%185,460185k1633.783048%33.783048%33.8%64,52964.5k1733.391853%33.391853%33.4%13,12413.1k1833.138386%33.138386%33.1%12,40912.4k1932.914482%32.914482%32.9%13,62113.6k2032.380180%32.380180%32.4%11,57311.6k2132.238789%32.238789%32.2%11,22211.2k2231.219796%31.219796%31.2%9,1092330.315023%30.315023%30.3%64,767,78764.8M29.705211%29.705211%29.7%424,131424k29.613003%29.613003%29.6%9,5652428.997200%28.997200%29.0%8,6982528.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.219271%28.219271%28.2%8,2882626.954091%26.954091%27.0%6,6522726.775738%26.775738%26.8%7,3812826.713842%26.713842%26.7%9,5512926.667466%26.667466%26.7%2,092,8752.09M22.834168%22.834168%22.8%5,6513021.665661%21.665661%21.7%8,6163120.614221%20.614221%20.6%6,8133220.213821%20.213821%20.2%26,69726.7k3319.988457%19.988457%20.0%11,42911.4k3418.053148%18.053148%18.1%5,7273518.048021%18.048021%18.0%33,17133.2k3617.635555%17.635555%17.6%15,51115.5k3716.631922%16.631922%16.6%5,1063816.462939%16.462939%16.5%4,4313916.073076%16.073076%16.1%40,94640.9k4015.411739%15.411739%15.4%5,5514115.075315%15.075315%15.1%6,1454214.851256%14.851256%14.9%5,7664314.608666%14.608666%14.6%6,8244413.812631%13.812631%13.8%4,4884512.832476%12.832476%12.8%3,4934612.044055%12.044055%12.0%5,2604711.718579%11.718579%11.7%4,8124811.460139%11.460139%11.5%2,6454910.478559%10.478559%10.5%3,24550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Chester Township, selected other county subdivisions in Ohio, and entities that contain the Chester Township
0%2%4%6%8%10%Count#Cleveland HeightsCleveland HtsDublinAnderson TownshipAndersonSylvania TownshipSylvaniaWashington TownshipWashingtonBeavercreek TownshipBeavercreekJackson TownshipJacksonLakewoodCincinnatiStrongsvilleDeerfield TownshipDeerfieldWest Chester TownshipW ChesterWest Geauga Local School DistrictWest GeaugaKetteringLiberty TownshipLibertyCleveland and Elyria Metro AreaClevelandMifflin TownshipMifflinColumbusUnited States of AmericaUnited StatesChester TownshipChesterZIP Code 44026ZIP 44026Geauga CountyGeaugaPlain TownshipPlainBoardman TownshipBoardmanViolet TownshipVioletMiami TownshipMiamiMidwestEast North CentralOhioCuyahoga FallsGreen TownshipGrnBath TownshipAkronJackson TownshipJacksonClevelandMentorColerain TownshipColerainMiami TownshipMiamiFindlayToledoSpringfieldFairfieldEuclidHuber HeightsLimaDaytonCantonHamiltonUnion TownshipUnionParmaNewarkLancaster City TownshipLancaster CityMansfieldMiddletownLorainElyriaYoungstownWarrenMarion TownshipMarion10.753042%10.753042%10.8%3,270110.031566%10.031566%10.0%2,44727.476443%7.476443%7.5%2,18237.470585%7.470585%7.5%2,52746.820669%6.820669%6.8%2,80556.685422%6.685422%6.7%2,51965.297242%5.297242%5.3%1,54675.051412%5.051412%5.1%1,85784.729595%4.729595%4.7%9,03494.555308%4.555308%4.6%1,471104.149830%4.149830%4.1%1,027114.100659%4.100659%4.1%1,711124.097407%4.097407%4.1%4933.778338%3.778338%3.8%1,485133.514938%3.514938%3.5%800143.424359%3.424359%3.4%48,89348.9k3.389898%3.389898%3.4%853153.357865%3.357865%3.4%17,95418.0k163.336158%3.336158%3.3%7,127,6737.13M3.317536%3.317536%3.3%2523.280695%3.280695%3.3%2683.260170%3.260170%3.3%2,0783.036372%3.036372%3.0%1,137172.957809%2.957809%3.0%863182.940052%2.940052%2.9%769192.911988%2.911988%2.9%804202.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.481744%2.481744%2.5%887212.476862%2.476862%2.5%1,025222.451477%2.451477%2.5%605232.163955%2.163955%2.2%2,858242.063608%2.063608%2.1%619251.927780%1.927780%1.9%4,911261.815622%1.815622%1.8%632271.815530%1.815530%1.8%722281.762090%1.762090%1.8%630291.675978%1.675978%1.7%462301.642065%1.642065%1.6%3,018311.545396%1.545396%1.5%600321.477698%1.477698%1.5%434331.388805%1.388805%1.4%459341.349604%1.349604%1.3%334351.304159%1.304159%1.3%301361.257490%1.257490%1.3%1,106371.245933%1.245933%1.2%582381.241352%1.241352%1.2%506391.238390%1.238390%1.2%400401.236490%1.236490%1.2%707411.182108%1.182108%1.2%375421.159205%1.159205%1.2%312431.104887%1.104887%1.1%359440.996743%0.996743%1.0%306450.964372%0.964372%1.0%396460.952302%0.952302%1.0%343470.794541%0.794541%0.8%347480.742101%0.742101%0.7%202490.720098%0.720098%0.7%22350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#36

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Chester Township, selected other county subdivisions in Ohio, and entities that contain the Chester Township
Female
Male
1x0x1xFM#AndersonMansfieldCleveland HtsBeavercreekZIP 44026UnionToledoFindlayLorainChesterMarionYoungstownColerainGrnFairfieldElyriaWest GeaugaGeaugaMiddletownLancaster CityMidwestEast North CentralSpringfieldWarrenDaytonCantonUnited StatesOhioClevelandLimaParmaColumbusClevelandDeerfieldMentorNewarkW ChesterPlainLibertyJacksonHuber HeightsHamiltonJacksonCincinnatiAkronMifflinSylvaniaMiamiEuclidMiamiCuyahoga FallsStrongsvilleLakewoodBath TownshipDublinKetteringWashingtonBoardmanViolet-1.000000x-1.000000x1.766803x1.766803x1.77x2.468%2.47%4.360%4.36%1-1.000000x-1.000000x1.592708x1.592708x1.59x12.530%12.5%19.956%20.0%2-1.000000x-1.000000x1.485471x1.485471x1.49x5.146%5.15%7.645%7.64%3-1.000000x-1.000000x1.332397x1.332397x1.33x2.666%2.67%3.552%3.55%4-1.000000x-1.000000x1.250630x1.250630x1.25x4.438%4.44%5.550%5.55%-1.000000x-1.000000x1.242595x1.242595x1.24x7.704%7.70%9.573%9.57%5-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%6-1.000000x-1.000000x1.222843x1.222843x1.22x8.133%8.13%9.946%9.95%7-1.000000x-1.000000x1.207850x1.207850x1.21x16.045%16.0%19.380%19.4%8-1.000000x-1.000000x1.207574x1.207574x1.21x4.788%4.79%5.782%5.78%-1.000000x-1.000000x1.204406x1.204406x1.20x14.131%14.1%17.020%17.0%9-1.000000x-1.000000x1.194114x1.194114x1.19x15.554%15.6%18.574%18.6%10-1.000000x-1.000000x1.175447x1.175447x1.18x10.032%10.0%11.792%11.8%11-1.000000x-1.000000x1.173903x1.173903x1.17x5.370%5.37%6.304%6.30%12-1.000000x-1.000000x1.173628x1.173628x1.17x8.033%8.03%9.428%9.43%13-1.000000x-1.000000x1.166450x1.166450x1.17x12.379%12.4%14.439%14.4%14-1.000000x-1.000000x1.152045x1.152045x1.15x3.777%3.78%4.352%4.35%-1.000000x-1.000000x1.151241x1.151241x1.15x8.319%8.32%9.577%9.58%-1.000000x-1.000000x1.147049x1.147049x1.15x17.010%17.0%19.512%19.5%15-1.000000x-1.000000x1.144160x1.144160x1.14x11.593%11.6%13.265%13.3%16-1.000000x-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-1.000000x1.124452x1.124452x1.12x16.027%16.0%18.022%18.0%17-1.000000x-1.000000x1.124390x1.124390x1.12x14.230%14.2%16.000%16.0%18-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%19-1.000000x-1.000000x1.109752x1.109752x1.11x14.885%14.9%16.518%16.5%20-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.095211x1.095211x1.10x9.995%10.00%10.947%10.9%-1.000000x-1.000000x1.087544x1.087544x1.09x15.592%15.6%16.957%17.0%21-1.000000x-1.000000x1.081824x1.081824x1.08x9.568%9.57%10.350%10.4%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%24-1.000000x-1.000000x1.045216x1.045216x1.05x3.224%3.22%3.370%3.37%25-1.000000x-1.000000x1.038813x1.038813x1.04x5.175%5.17%5.376%5.38%26-1.000000x-1.000000x1.036562x1.036562x1.04x12.733%12.7%13.198%13.2%27-1.000000x-1.000000x1.031821x1.031821x1.03x5.641%5.64%5.821%5.82%28-1.000000x-1.000000x1.027725x1.027725x1.03x6.093%6.09%6.262%6.26%29-1.000000x-1.000000x1.026192x1.026192x1.03x5.072%5.07%5.205%5.20%30-1.000000x-1.000000x1.025236x1.025236x1.03x6.405%6.41%6.567%6.57%31-1.000000x-1.000000x1.021443x1.021443x1.02x7.189%7.19%7.344%7.34%32-1.000000x-1.000000x1.015682x1.015682x1.02x15.182%15.2%15.420%15.4%33-1.000000x-1.000000x1.006889x1.006889x1.01x3.818%3.82%3.844%3.84%34-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%35-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%36-1.053306x-1.053306x1.05x1.000000x1.000000x5.733%5.73%5.442%5.44%37-1.068860x-1.068860x1.07x1.000000x1.000000x4.454%4.45%4.167%4.17%38-1.075183x-1.075183x1.08x1.000000x1.000000x5.828%5.83%5.420%5.42%39-1.084060x-1.084060x1.08x1.000000x1.000000x11.029%11.0%10.174%10.2%40-1.123601x-1.123601x1.12x1.000000x1.000000x9.091%9.09%8.091%8.09%41-1.132510x-1.132510x1.13x1.000000x1.000000x6.567%6.57%5.799%5.80%42-1.209810x-1.209810x1.21x1.000000x1.000000x4.433%4.43%3.664%3.66%43-1.275391x-1.275391x1.28x1.000000x1.000000x6.820%6.82%5.347%5.35%44-1.295653x-1.295653x1.30x1.000000x1.000000x13.964%14.0%10.778%10.8%45-1.385029x-1.385029x1.39x1.000000x1.000000x2.028%2.03%1.464%1.46%46-1.505212x-1.505212x1.51x1.000000x1.000000x7.040%7.04%4.677%4.68%47-1.641786x-1.641786x1.64x1.000000x1.000000x4.457%4.46%2.715%2.71%48-1.660386x-1.660386x1.66x1.000000x1.000000x7.066%7.07%4.256%4.26%49-1.798212x-1.798212x1.80x1.000000x1.000000x5.036%5.04%2.800%2.80%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#37

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Chester Township, selected other county subdivisions in Ohio, and entities that contain the Chester Township
Female
Male
1x0x1x2x3xFM#ElyriaSpringfieldWashingtonYoungstownBoardmanLorainChesterMiddletownWest GeaugaLancaster CityFindlayAndersonJacksonKetteringZIP 44026MifflinPlainBeavercreekDeerfieldDaytonNewarkGeaugaEuclidMiamiAkronDublinSylvaniaStrongsvilleBath TownshipClevelandOhioFairfieldMansfieldW ChesterHuber HeightsLakewoodEast North CentralMidwestWarrenUnited StatesLibertyParmaCleveland HtsColumbusUnionMentorGrnJacksonClevelandCincinnatiMiamiMarionVioletColerainToledoHamiltonCantonCuyahoga FallsLima-1.000000x-1.000000x3.557903x3.557903x3.56x0.433%0.43%1.542%1.54%1-1.000000x-1.000000x3.025650x3.025650x3.03x0.799%0.80%2.417%2.42%2-1.000000x-1.000000x2.977263x2.977263x2.98x3.534%3.53%10.523%10.5%3-1.000000x-1.000000x2.809581x2.809581x2.81x0.426%0.43%1.196%1.20%4-1.000000x-1.000000x2.780060x2.780060x2.78x1.621%1.62%4.507%4.51%5-1.000000x-1.000000x2.695011x2.695011x2.70x0.546%0.55%1.472%1.47%6-1.000000x-1.000000x2.601846x2.601846x2.60x1.875%1.87%4.878%4.88%-1.000000x-1.000000x2.596948x2.596948x2.60x0.564%0.56%1.465%1.46%7-1.000000x-1.000000x2.450326x2.450326x2.45x2.405%2.41%5.893%5.89%-1.000000x-1.000000x2.442537x2.442537x2.44x0.692%0.69%1.690%1.69%8-1.000000x-1.000000x2.437656x2.437656x2.44x0.991%0.99%2.417%2.42%9-1.000000x-1.000000x2.428350x2.428350x2.43x4.486%4.49%10.893%10.9%10-1.000000x-1.000000x2.183841x2.183841x2.18x3.386%3.39%7.394%7.39%11-1.000000x-1.000000x2.155653x2.155653x2.16x2.468%2.47%5.319%5.32%12-1.000000x-1.000000x2.154311x2.154311x2.15x2.113%2.11%4.552%4.55%-1.000000x-1.000000x2.069018x2.069018x2.07x2.252%2.25%4.660%4.66%13-1.000000x-1.000000x2.024516x2.024516x2.02x2.059%2.06%4.169%4.17%14-1.000000x-1.000000x2.007898x2.007898x2.01x4.457%4.46%8.948%8.95%15-1.000000x-1.000000x1.991550x1.991550x1.99x2.826%2.83%5.628%5.63%16-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%17-1.000000x-1.000000x1.967904x1.967904x1.97x0.822%0.82%1.618%1.62%18-1.000000x-1.000000x1.957255x1.957255x1.96x2.227%2.23%4.360%4.36%-1.000000x-1.000000x1.903271x1.903271x1.90x0.997%1.00%1.897%1.90%19-1.000000x-1.000000x1.851159x1.851159x1.85x2.056%2.06%3.806%3.81%20-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%21-1.000000x-1.000000x1.832511x1.832511x1.83x7.149%7.15%13.100%13.1%22-1.000000x-1.000000x1.805502x1.805502x1.81x5.447%5.45%9.835%9.84%23-1.000000x-1.000000x1.769961x1.769961x1.77x3.331%3.33%5.895%5.90%24-1.000000x-1.000000x1.691857x1.691857x1.69x1.833%1.83%3.102%3.10%25-1.000000x-1.000000x1.673200x1.673200x1.67x2.601%2.60%4.352%4.35%-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.650680x1.650680x1.65x1.122%1.12%1.852%1.85%26-1.000000x-1.000000x1.650301x1.650301x1.65x0.820%0.82%1.353%1.35%27-1.000000x-1.000000x1.648570x1.648570x1.65x3.124%3.12%5.150%5.15%28-1.000000x-1.000000x1.627164x1.627164x1.63x1.044%1.04%1.699%1.70%29-1.000000x-1.000000x1.624128x1.624128x1.62x3.883%3.88%6.306%6.31%30-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.543502x1.543502x1.54x0.592%0.59%0.914%0.91%31-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.525512x1.525512x1.53x2.801%2.80%4.272%4.27%32-1.000000x-1.000000x1.433883x1.433883x1.43x1.025%1.03%1.470%1.47%33-1.000000x-1.000000x1.416609x1.416609x1.42x9.009%9.01%12.763%12.8%34-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%35-1.000000x-1.000000x1.348352x1.348352x1.35x1.062%1.06%1.431%1.43%36-1.000000x-1.000000x1.325696x1.325696x1.33x1.576%1.58%2.089%2.09%37-1.000000x-1.000000x1.319751x1.319751x1.32x2.156%2.16%2.845%2.85%38-1.000000x-1.000000x1.297270x1.297270x1.30x1.812%1.81%2.351%2.35%39-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%40-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%41-1.000000x-1.000000x1.246667x1.246667x1.25x1.577%1.58%1.966%1.97%42-1.000000x-1.000000x1.217109x1.217109x1.22x0.642%0.64%0.782%0.78%43-1.000000x-1.000000x1.149458x1.149458x1.15x2.746%2.75%3.157%3.16%44-1.000000x-1.000000x1.145376x1.145376x1.15x1.701%1.70%1.948%1.95%45-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%46-1.000000x-1.000000x1.036455x1.036455x1.04x1.220%1.22%1.265%1.26%47-1.103703x-1.103703x1.10x1.000000x1.000000x1.302%1.30%1.180%1.18%48-1.188945x-1.188945x1.19x1.000000x1.000000x2.687%2.69%2.260%2.26%49-1.404867x-1.404867x1.40x1.000000x1.000000x1.525%1.53%1.086%1.09%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#38

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 TownshipWorthOhioCleveland and Elyria Metro AreaClevelandMidwestLawrence TownshipLawrenceSioux FallsGeauga CountyGeaugaCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonChester TownshipChesterZIP Code 44026ZIP 44026MadisonWest Geauga Local School DistrictWest GeaugaDowners 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%11,17511.2k3210.514146%10.514146%10.5%825,155825k10.442639%10.442639%10.4%149,100149k10.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123348.928599%8.928599%8.9%5,6918.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126455.265929%5.265929%5.3%4004.970009%4.970009%5.0%4064.836248%4.836248%4.8%7,351464.055851%4.055851%4.1%4884.020265%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#39

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 TownshipWheelingWest Geauga Local School DistrictWest GeaugaSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineChester TownshipChesterFargoZIP Code 44026ZIP 44026Geauga CountyGeaugaLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsCleveland and Elyria Metro AreaClevelandMidwestWichitaEast North CentralSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldOhioProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%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%51,46851.5k1244.597739%44.597739%44.6%5,36641.792515%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%38,91838.9k1638.335966%38.335966%38.3%2,91238.241175%38.241175%38.2%26,96527.0k1738.205411%38.205411%38.2%3,12137.269176%37.269176%37.3%23,75523.8k37.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2929.705211%29.705211%29.7%424,131424k28.952816%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%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.667466%26.667466%26.7%2,092,8752.09M26.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the 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 TownshipCapitalWest Geauga Local School DistrictWest GeaugaOmahaMaine TownshipMainePalatine TownshipPalatineCleveland and Elyria Metro AreaClevelandWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesChester TownshipChesterZIP Code 44026ZIP 44026Geauga CountyGeaugaTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheOhioCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.097407%4.097407%4.1%4934.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.424359%3.424359%3.4%48,89348.9k3.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.317536%3.317536%3.3%2523.280695%3.280695%3.3%2683.260170%3.260170%3.3%2,0783.233245%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%2,349292.683241%2.683241%2.7%210,582211k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#41

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Chester Township, selected other county subdivisions in the Midwest, and entities that contain the Chester Township
Female
Male
1x0x1xFM#ZIP 44026Cedar RapidsLincolnDetroitOmahaToledoChesterThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest GeaugaGeaugaWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheOhioWorthNOverland ParkClevelandAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.250630x1.250630x1.25x4.438%4.44%5.550%5.55%-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-1.000000x1.207574x1.207574x1.21x4.788%4.79%5.782%5.78%-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-1.000000x1.152045x1.152045x1.15x3.777%3.78%4.352%4.35%-1.000000x-1.000000x1.151241x1.151241x1.15x8.319%8.32%9.577%9.58%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-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-1.000000x1.095211x1.095211x1.10x9.995%10.00%10.947%10.9%-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#42

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Chester Township, selected other county subdivisions in the Midwest, and entities that contain the Chester Township
Female
Male
1x0x1x2xFM#ChesterWest GeaugaZIP 44026RockfordNDaytonSioux FallsGeaugaCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheClevelandOhioOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x2.601846x2.601846x2.60x1.875%1.87%4.878%4.88%-1.000000x-1.000000x2.450326x2.450326x2.45x2.405%2.41%5.893%5.89%-1.000000x-1.000000x2.154311x2.154311x2.15x2.113%2.11%4.552%4.55%-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-1.000000x1.957255x1.957255x1.96x2.227%2.23%4.360%4.36%-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.673200x1.673200x1.67x2.601%2.60%4.352%4.35%-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%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#43

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 CentralOhioCleveland and Elyria Metro AreaClevelandSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaGeauga CountyGeaugaSeattleNortheast TarrantNE TarrantPlanoChester TownshipChesterZIP Code 44026ZIP 44026Seattle EastWest Geauga Local School DistrictWest Geauga28.998944%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%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.442639%10.442639%10.4%149,100149k10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.928599%8.928599%8.9%5,6918.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k495.265929%5.265929%5.3%4004.970009%4.970009%5.0%4064.913852%4.913852%4.9%20,32620.3k504.055851%4.055851%4.1%488
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the 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 JoseAtlantaSeattleBostonDenverAustinWest Geauga Local School DistrictWest GeaugaTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantChester TownshipChesterZIP Code 44026ZIP 44026Geauga CountyGeaugaNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreCleveland and Elyria Metro AreaClevelandLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioOhioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1144.597739%44.597739%44.6%5,36641.989192%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%143,978144k1538.335966%38.335966%38.3%2,91238.205411%38.205411%38.2%3,12137.269176%37.269176%37.3%23,75523.8k36.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.705211%29.705211%29.7%424,131424k29.113198%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%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.667466%26.667466%26.7%2,092,8752.09M26.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#45

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the 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 HempsteadHempsteadTampaWest Geauga Local School DistrictWest GeaugaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…Cleveland and Elyria Metro AreaClevelandBrooklynSacramentoColumbusUnited States of AmericaUnited StatesChester TownshipChesterZIP Code 44026ZIP 44026Geauga CountyGeaugaTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensOhioNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%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%19,24719.2k194.097407%4.097407%4.1%4934.025531%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%15,21115.2k273.424359%3.424359%3.4%48,89348.9k3.384967%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%7,127,6737.13M3.317536%3.317536%3.3%2523.280695%3.280695%3.3%2683.260170%3.260170%3.3%2,0783.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.683241%2.683241%2.7%210,582211k2.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#46

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Chester Township, selected other county subdivisions in the United States, and entities that contain the Chester Township
Female
Male
1x0x1xFM#1, CharlotteZIP 44026DetroitChesterBaltimoreTulsaSW DallasWest GeaugaGeaugaMidwestFresnoEast North CentralMilwaukeeUnited StatesOhioNE DallasHoustonClevelandHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.250630x1.250630x1.25x4.438%4.44%5.550%5.55%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.207574x1.207574x1.21x4.788%4.79%5.782%5.78%-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-1.000000x1.152045x1.152045x1.15x3.777%3.78%4.352%4.35%-1.000000x-1.000000x1.151241x1.151241x1.15x8.319%8.32%9.577%9.58%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-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-1.000000x1.095211x1.095211x1.10x9.995%10.00%10.947%10.9%-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#47

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Chester Township, selected other county subdivisions in the United States, and entities that contain the Chester Township
Female
Male
1x0x1x2xFM#ChesterWest GeaugaZIP 44026El PasoSalt Lk CityGeaugaPlanoTulsaAlbuquerqueNE DallasFort WorthClevelandOhioOrlandoPhoenixTucson1, 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-1.000000x2.601846x2.601846x2.60x1.875%1.87%4.878%4.88%-1.000000x-1.000000x2.450326x2.450326x2.45x2.405%2.41%5.893%5.89%-1.000000x-1.000000x2.154311x2.154311x2.15x2.113%2.11%4.552%4.55%-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-1.000000x1.957255x1.957255x1.96x2.227%2.23%4.360%4.36%-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.673200x1.673200x1.67x2.601%2.60%4.352%4.35%-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%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.

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State:
Ohio
County:
Geauga
Metro Area:
Cleveland Area
Unincorporated Place:
Chesterland
ZIP Code:
44026
Unified School District:
West Geauga
Congressional District:
OH-14
State Senate District:
OH-18
State House District:
OH-76
Neighboring Townships:
Chardon, Munson, Newbury, Russell
Nearby Townships:
Chagrin Falls