Educational Attainment in the Thompson 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 Thompson Township
Thompson Township
Geauga County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma225.661538%45.372535%25.661538%25.7%41767.261538%45.698866%67.261538%67.3%1,0937.076923%8.928599%7.076923%7.1%115
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 Thompson Township
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-43.442573%-43.442573%-43.4%25.662%25.7%45.373%45.4%47.184263%47.184263%+47.2%67.262%67.3%45.699%45.7%-20.738710%-20.738710%-20.7%7.077%7.08%8.929%8.93%
% percentage with given level in the Thompson 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 Thompson Township
Thompson Township
Geauga County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.246154%1.237861%0.246154%0.2%40.676923%2.022310%0.676923%0.7%114.492308%9.804045%4.492308%4.5%7311.323077%24.204961%11.323077%11.3%1848.923077%8.103359%8.923077%8.9%14525.661538%18.688715%25.661538%25.7%41741.600000%27.010151%41.600000%41.6%6765.907692%3.352735%5.907692%5.9%960.923077%4.962425%0.923077%0.9%150.246154%0.613439%0.246154%0.2%4
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 Thompson Township
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-80.114575%-80.114575%-80.1%0.246%0.25%1.238%1.24%-66.527230%-66.527230%-66.5%0.677%0.68%2.022%2.02%-54.179037%-54.179037%-54.2%4.492%4.49%9.804%9.80%-53.220016%-53.220016%-53.2%11.323%11.3%24.205%24.2%10.115779%10.115779%+10.1%8.923%8.92%8.103%8.10%37.310343%37.310343%+37.3%25.662%25.7%18.689%18.7%54.016171%54.016171%+54.0%41.600%41.6%27.010%27.0%76.205147%76.205147%+76.2%5.908%5.91%3.353%3.35%-81.398672%-81.398672%-81.4%0.923%0.92%4.962%4.96%-59.873146%-59.873146%-59.9%0.246%0.25%0.613%0.61%
% percentage with given level in the Thompson 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 Thompson Township
More Females More Males
Geauga County
Thompson Township
0%50%100%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-31.333905%-6.744336%-31.333905%31%29.306%29.3%22.314%22.3%2.712263%3.786105%2.712263%3%66.324%66.3%68.123%68.1%118.827696%15.124106%118.827696%119%4.370%4.37%9.563%9.56%
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 Thompson Township
More Females More Males
Geauga County
Thompson Township
1k%0k%1k%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%114.103013%1,000.000000%> 1000%0.000%0%0.472%0.47%-1,000.000000%-1,000.000000%> 1000%85.481030%1.414%1.41%0.000%0%-0.273982%-16.324317%-0.273982%0k%4.499%4.50%4.486%4.49%-90.114338%-3.926130%-90.114338%0k%15.039%15.0%7.910%7.91%-39.902966%13.050586%13.050586%0k%8.355%8.35%9.445%9.45%-11.511343%-2.042760%-11.511343%0k%27.121%27.1%24.321%24.3%11.730118%7.986550%11.730118%0k%39.203%39.2%43.802%43.8%175.560803%42.427456%175.560803%0k%3.085%3.08%8.501%8.50%37.780401%8.549197%37.780401%0k%0.771%0.77%1.063%1.06%-1,000.000000%-74.180565%-1,000.000000%> 1000%0.514%0.51%0.000%0%
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 Thompson Township
Thompson Township
Geauga County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-340.914634%18.501475%0.914634%0.9%332812.692308%26.508916%12.692308%12.7%997807.287449%24.161815%7.287449%7.3%1824723.703704%28.107474%23.703704%23.7%64270
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 Thompson Township
80%60%40%20%0%%ref.65+45-6435-4425-34-95.056426%-95.056426%95.1%0.915%0.91%18.501%18.5%-52.120609%-52.120609%52.1%12.692%12.7%26.509%26.5%-69.838982%-69.838982%69.8%7.287%7.29%24.162%24.2%-15.667612%-15.667612%15.7%23.704%23.7%28.107%28.1%
% percentage in the Thompson 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 Thompson Township
More Females More Males
Geauga County
Thompson Township
1,000%500%0%FM65+45-6435-4425-34-1,000.000000%-1,000.000000%> 1000%23.052779%1.961%1.96%0.000%0%-88.031915%-13.192079%-88.031915%88.0%16.755%16.8%8.911%8.91%-1,000.000000%-4.024608%-1,000.000000%> 1000%16.071%16.1%0.000%0%-3.343537%-17.800941%-3.343537%3.3%24.088%24.1%23.308%23.3%
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 Thompson Township
Thompson Township
Geauga County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$59,286.000000$73,666.000000$59,286.000000$59.3k885.415%5.42%$38,125.000000$61,225.000000$38,125.000000$38.1k18411.323%11.3%$35,813.000000$40,029.000000$35,813.000000$35.8k56234.585%34.6%$31,193.000000$35,751.000000$31,193.000000$31.2k67641.600%41.6%$11,438.000000$31,283.000000$11,438.000000$11.4k1157.077%7.08%$35,366.000000$43,940.000000$35,366.000000$35.4k1,625100.000%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 Thompson Township
Female Male
Geauga County
Thompson Township
Shaded bar tips show excess over facing bar.
$0k$50kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-28,750.000000$-38,259.000000$-28,750.000000$28.8k$28,750.000000$22,344.000000$38,259.000000$43,512.000000$51,094.000000$51.1k11767$-26,058.000000$-31,057.000000$-26,058.000000$26.1k$26,058.000000$16,598.000000$31,057.000000$18,754.000000$42,656.000000$42.7k276286$-16,500.000000$-24,638.000000$-16,500.000000$16.5k$16,500.000000$26,278.000000$24,638.000000$18,157.000000$42,778.000000$42.8k305371$-25,875.000000$-32,297.000000$-25,875.000000$25.9k$25,875.000000$15,977.000000$32,297.000000$21,879.000000$41,852.000000$41.9k778847
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 Thompson Township
Thompson Township
Geauga County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.872587%84.436871%86.872587%86.9%22583.150985%78.973756%83.150985%83.2%38075.400000%71.908682%75.400000%75.4%37744.444444%59.840213%44.444444%44.4%36
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 Thompson Township
Female Male
Geauga County
Thompson Township
Shaded bar tips show excess over facing bar.
100%80%60%40%20%0%20%MFWhite1BlackOther1-3.825858%-8.205096%-3.825858%3.8%3.825858%5.874741%8.205096%1.384221%9.700599%9.7%8129-0.000000%-1.190476%-8.899210%0.000000%0.0%0.000000%0.000000%1.190476%0.000000%0.0%00-0.000000%-100.000000%-8.938547%-100.000000%100.0%0.000000%8.938547%21.029907%0.000000%0.0%05
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 Thompson Township
Female Male
Geauga County
Thompson Township
Shaded bar tips show excess over facing bar.
100%50%0%MFWhite1BlackOther1-13.053892%-6.471174%-37.354046%-0.256322%-19.525066%19.5%13.053892%37.354046%13.053892%13.1%109148-0.000000%-100.000000%-32.142857%-3.955798%-100.000000%100.0%0.000000%32.142857%0.000000%0.0%09-0.000000%-8.938547%0.000000%0.0%0.000000%0.000000%8.938547%0.525175%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Cleveland Area

There are 155 county subdivisions in the Cleveland Area. This section compares the Thompson Township to the 50 most populous county subdivisions in the Cleveland Area and to those entities that contain or substantially overlap with the Thompson Township. The least populous of the compared county subdivisions has a population of 11,697.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Thompson Township, selected other county subdivisions in the Cleveland Area, and entities that contain the Thompson 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 Euclid310100Tract 310100Thompson TownshipThompsonNorth RoyaltonN RoyaltonSeven HillsWilloughbyMayfield HeightsMayfield HtsCleveland HeightsCleveland HtsLakewoodMedina City TownshipMedina CityWadsworthMentorOlmsted TownshipOlmstedLyndhurstFairview ParkBeachwoodAvonRocky RiverStrongsvilleConcord 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%1,041257.076923%7.076923%7.1%1157.076923%7.076923%7.1%1156.923626%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%1,834345.260925%5.260925%5.3%496354.607557%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%1,313413.924694%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#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Thompson Township, selected other county subdivisions in the Cleveland Area, and entities that contain the Thompson Township
0%20%40%60%Count#Shaker HeightsShaker HtsBay VillageSolonUniversity HeightsUniv HtsBeachwoodRocky RiverBrecksvilleWestlakeAvon LakeCleveland HeightsCleveland HtsLyndhurstAvonBroadview HeightsBroadview HtsStrongsvilleLakewoodConcord TownshipConcordSouth EuclidOlmsted TownshipOlmstedGeauga 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 Hts310100Tract 310100Thompson TownshipThompsonEastlakeClevelandElyriaMaple 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%14,40714.4k1443.651053%43.651053%43.7%16,04716.0k1542.253093%42.253093%42.3%5,5661639.537763%39.537763%39.5%5,7481738.300806%38.300806%38.3%3,6111837.269176%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%1,5094116.738462%16.738462%16.7%27216.738462%16.738462%16.7%27216.331407%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#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Thompson Township, selected other county subdivisions in the Cleveland Area, and entities that contain the Thompson Township
0%5%10%15%20%Count#Shaker HeightsShaker HtsBeachwoodSolonUniversity HeightsUniv HtsCleveland HeightsCleveland HtsRocky RiverBay VillageBrecksvilleWestlakeLyndhurstAvon LakeLakewoodBroadview HeightsBroadview HtsStrongsvilleConcord TownshipConcordMayfield HeightsMayfield HtsNorth RoyaltonN RoyaltonFairview ParkAvonSouth EuclidCleveland and Elyria Metro AreaClevelandUnited States of AmericaUnited StatesGeauga CountyGeaugaWadsworthSeven HillsMidwestEast North CentralOhioNorth RidgevilleN RidgevilleMedina City TownshipMedina CityBereaWickliffeWilloughbyNorth OlmstedAmherstClevelandMentorParma HeightsWillowickOlmsted TownshipOlmstedEuclidMiddleburg HeightsMiddleburg HtsPainesville TownshipPainesvilleMadison TownshipMadisonParmaBrunswickLorainElyriaEast ClevelandE Cleveland310100Tract 310100Thompson TownshipThompsonGarfield 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%932173.931266%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%7,127,6737.13M3.260170%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%114430.923077%0.923077%0.9%150.923077%0.923077%0.9%150.870331%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#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Thompson Township, selected other county subdivisions in the Cleveland Area, and entities that contain the Thompson Township
Female
Male
1x0x1x2xFM#Tract 310100ThompsonBedfordUniv HtsOlmstedWarrensville HtsEastlakeCleveland HtsMaple HeightsSouth EuclidWestlakeWillowickLyndhurstE ClevelandLorainWilloughbyShaker HtsNorth OlmstedWickliffeElyriaGeaugaParma HeightsMidwestEast North CentralN RidgevilleBrook ParkUnited StatesOhioConcordClevelandParmaPainesvilleClevelandMentorMiddleburg HtsBay VillageGarfield HtsPainesvilleAmherstSeven HillsMayfield HtsMadisonBereaEuclidSolonBrunswickFairview ParkBrecksvilleWadsworthRocky RiverN RoyaltonStrongsvilleLakewoodAvonMedina CityBeachwoodAvon LakeBroadview Hts-1.000000x-1.000000x2.188277x2.188277x2.19x4.370%4.37%9.563%9.56%-1.000000x-1.000000x2.188277x2.188277x2.19x4.370%4.37%9.563%9.56%-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-1.000000x1.245772x1.245772x1.25x4.143%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-1.000000x1.203297x1.203297x1.20x6.149%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-1.000000x1.151241x1.151241x1.15x8.319%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#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Thompson Township, selected other county subdivisions in the Cleveland Area, and entities that contain the Thompson Township
Female
Male
10x5x0xFM#E ClevelandElyriaAvonPainesvilleAvon LakeLorainBereaParma HeightsBroadview HtsAmherstNorth OlmstedFairview ParkMedina CityConcordBeachwoodSolonBrecksvilleOlmstedShaker HtsRocky RiverGeaugaEuclidStrongsvilleWestlakeBedfordClevelandOhioLakewoodWillowickWickliffeEast North CentralUniv HtsBay VillageMidwestBrunswickMadisonMayfield HtsN RidgevilleUnited StatesSeven HillsLyndhurstParmaCleveland HtsGarfield HtsMentorSouth EuclidWadsworthClevelandMiddleburg HtsPainesvilleN RoyaltonWilloughbyEastlakeMaple HeightsTract 310100ThompsonBrook 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-1.000000x2.536696x2.536696x2.54x1.034%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-1.000000x2.385357x2.385357x2.39x2.349%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-1.000000x2.150161x2.150161x2.15x5.394%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%48-2.993895x-2.993895x2.99x1.000000x1.000000x1.414%1.41%0.472%0.47%-2.993895x-2.993895x2.99x1.000000x1.000000x1.414%1.41%0.472%0.47%-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 Thompson Township to the 50 most populous county subdivisions in Ohio and to those entities that contain or substantially overlap with the Thompson Township. The least populous of the compared county subdivisions has a population of 36,945.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Thompson Township, selected other county subdivisions in Ohio, and entities that contain the Thompson 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 Heights310100Tract 310100Thompson TownshipThompsonJackson TownshipJacksonCleveland HeightsCleveland HtsCuyahoga FallsPlain TownshipPlainLakewoodKetteringGreen TownshipGrnBoardman TownshipBoardmanWest Chester TownshipW ChesterMiami TownshipMiamiMifflin TownshipMifflinMentorLiberty TownshipLibertySylvania TownshipSylvaniaStrongsvilleViolet 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%1,797287.076923%7.076923%7.1%1157.076923%7.076923%7.1%1156.480864%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%1,834405.136204%5.136204%5.1%1,169414.322119%4.322119%4.3%1,462424.066023%4.066023%4.1%1,313433.979966%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#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Thompson Township, selected other county subdivisions in Ohio, and entities that contain the Thompson Township
0%20%40%60%Count#DublinDeerfield TownshipDeerfieldAnderson TownshipAndersonWashington TownshipWashingtonBeavercreek TownshipBeavercreekCleveland HeightsCleveland HtsLiberty TownshipLibertyWest Chester TownshipW ChesterSylvania TownshipSylvaniaStrongsvilleMifflin TownshipMifflinViolet TownshipVioletLakewoodMiami TownshipMiamiJackson TownshipJacksonGeauga CountyGeaugaColumbusCincinnatiKetteringPlain TownshipPlainGreen TownshipGrnCuyahoga FallsMentorBoardman TownshipBoardmanUnited States of AmericaUnited StatesCleveland and Elyria Metro AreaClevelandUnion TownshipUnionJackson TownshipJacksonMidwestEast North CentralFairfieldBath TownshipFindlayMiami TownshipMiamiOhioHuber HeightsColerain TownshipColerainEuclidAkronParmaNewarkToledoDayton310100Tract 310100Thompson TownshipThompsonMiddletownLancaster 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%14,40714.4k1043.925605%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%12,09212.1k1537.269176%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%15,51115.5k3716.738462%16.738462%16.7%27216.738462%16.738462%16.7%27216.631922%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#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Thompson Township, selected other county subdivisions in Ohio, and entities that contain the Thompson Township
0%2%4%6%8%10%Count#Cleveland HeightsCleveland HtsDublinAnderson TownshipAndersonSylvania TownshipSylvaniaWashington TownshipWashingtonBeavercreek TownshipBeavercreekJackson TownshipJacksonLakewoodCincinnatiStrongsvilleDeerfield TownshipDeerfieldWest Chester TownshipW ChesterKetteringLiberty TownshipLibertyCleveland and Elyria Metro AreaClevelandMifflin TownshipMifflinColumbusUnited States of AmericaUnited StatesGeauga CountyGeaugaPlain TownshipPlainBoardman TownshipBoardmanViolet TownshipVioletMiami TownshipMiamiMidwestEast North CentralOhioCuyahoga FallsGreen TownshipGrnBath TownshipAkronJackson TownshipJacksonClevelandMentorColerain TownshipColerainMiami TownshipMiamiFindlayToledoSpringfieldFairfieldEuclidHuber HeightsLimaDaytonCantonHamiltonUnion TownshipUnionParmaNewarkLancaster City TownshipLancaster CityMansfieldMiddletownLorainElyria310100Tract 310100Thompson TownshipThompsonYoungstownWarrenMarion 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%1,711123.778338%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%7,127,6737.13M3.260170%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%343470.923077%0.923077%0.9%150.923077%0.923077%0.9%150.794541%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#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Thompson Township, selected other county subdivisions in Ohio, and entities that contain the Thompson Township
Female
Male
1x0x1x2xFM#Tract 310100ThompsonAndersonMansfieldCleveland HtsBeavercreekUnionToledoFindlayLorainMarionYoungstownColerainGrnFairfieldElyriaGeaugaMiddletownLancaster CityMidwestEast North CentralSpringfieldWarrenDaytonCantonUnited StatesOhioClevelandLimaParmaColumbusClevelandDeerfieldMentorNewarkW ChesterPlainLibertyJacksonHuber HeightsHamiltonJacksonCincinnatiAkronMifflinSylvaniaMiamiEuclidMiamiCuyahoga FallsStrongsvilleLakewoodBath TownshipDublinKetteringWashingtonBoardmanViolet-1.000000x-1.000000x2.188277x2.188277x2.19x4.370%4.37%9.563%9.56%-1.000000x-1.000000x2.188277x2.188277x2.19x4.370%4.37%9.563%9.56%-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-1.000000x1.242595x1.242595x1.24x7.704%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-1.000000x1.204406x1.204406x1.20x14.131%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-1.000000x1.151241x1.151241x1.15x8.319%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#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Thompson Township, selected other county subdivisions in Ohio, and entities that contain the Thompson Township
Female
Male
2x0x2xFM#ElyriaSpringfieldWashingtonYoungstownBoardmanLorainMiddletownLancaster CityFindlayAndersonJacksonKetteringMifflinPlainBeavercreekDeerfieldDaytonNewarkGeaugaEuclidMiamiAkronDublinSylvaniaStrongsvilleBath TownshipClevelandOhioFairfieldMansfieldW ChesterHuber HeightsLakewoodEast North CentralMidwestWarrenUnited StatesLibertyParmaCleveland HtsColumbusUnionMentorGrnJacksonClevelandCincinnatiMiamiMarionVioletColerainToledoHamiltonCantonCuyahoga FallsLimaTract 310100Thompson-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-1.000000x2.596948x2.596948x2.60x0.564%0.56%1.465%1.46%7-1.000000x-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-1.000000x2.069018x2.069018x2.07x2.252%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%50-2.993895x-2.993895x2.99x1.000000x1.000000x1.414%1.41%0.472%0.47%-2.993895x-2.993895x2.99x1.000000x1.000000x1.414%1.41%0.472%0.47%
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 Thompson Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Thompson Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Thompson Township, selected other county subdivisions in the Midwest, and entities that contain the Thompson 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 TownshipSchaumburgLincoln310100Tract 310100Thompson TownshipThompsonWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.514146%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%11,88611.9k397.076923%7.076923%7.1%1157.076923%7.076923%7.1%1156.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Thompson Township, selected other county subdivisions in the Midwest, and entities that contain the Thompson Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoGeauga 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 TownshipWayne310100Tract 310100Thompson TownshipThompsonKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.269176%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%14,78814.8k4516.738462%16.738462%16.7%27216.738462%16.738462%16.7%27216.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Thompson Township, selected other county subdivisions in the Midwest, and entities that contain the Thompson Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineCleveland and Elyria Metro AreaClevelandWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesGeauga CountyGeaugaTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheOhioCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAurora310100Tract 310100Thompson TownshipThompsonThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.424359%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%7,127,6737.13M3.260170%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%834490.923077%0.923077%0.9%150.923077%0.923077%0.9%150.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Thompson Township, selected other county subdivisions in the Midwest, and entities that contain the Thompson Township
Female
Male
1x0x1x2xFM#Tract 310100ThompsonCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipGeaugaWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheOhioWorthNOverland ParkClevelandAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x2.188277x2.188277x2.19x4.370%4.37%9.563%9.56%-1.000000x-1.000000x2.188277x2.188277x2.19x4.370%4.37%9.563%9.56%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.151241x1.151241x1.15x8.319%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#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Thompson Township, selected other county subdivisions in the Midwest, and entities that contain the Thompson Township
Female
Male
2x1x0x1x2xFM#RockfordNDaytonSioux FallsGeaugaCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheClevelandOhioOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThorntonTract 310100Thompson-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%50-2.993895x-2.993895x2.99x1.000000x1.000000x1.414%1.41%0.472%0.47%-2.993895x-2.993895x2.99x1.000000x1.000000x1.414%1.41%0.472%0.47%
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 Thompson Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Thompson Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Thompson Township, selected other county subdivisions in the United States, and entities that contain the Thompson 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 Tarrant310100Tract 310100Thompson TownshipThompsonPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.514146%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%31,44331.4k487.076923%7.076923%7.1%1157.076923%7.076923%7.1%1155.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Thompson Township, selected other county subdivisions in the United States, and entities that contain the Thompson Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantGeauga 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 PasoBronx310100Tract 310100Thompson TownshipThompsonSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1537.269176%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%173,169173k4716.738462%16.738462%16.7%27216.738462%16.738462%16.7%27216.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Thompson Township, selected other county subdivisions in the United States, and entities that contain the Thompson Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…Cleveland and Elyria Metro AreaClevelandBrooklynSacramentoColumbusUnited States of AmericaUnited StatesGeauga 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 DallasBronxDetroit310100Tract 310100Thompson TownshipThompson12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.424359%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%7,127,6737.13M3.260170%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%5,693500.923077%0.923077%0.9%150.923077%0.923077%0.9%15
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Thompson Township, selected other county subdivisions in the United States, and entities that contain the Thompson Township
Female
Male
1x0x1x2xFM#Tract 310100Thompson1, CharlotteDetroitBaltimoreTulsaSW DallasGeaugaMidwestFresnoEast 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-1.000000x2.188277x2.188277x2.19x4.370%4.37%9.563%9.56%-1.000000x-1.000000x2.188277x2.188277x2.19x4.370%4.37%9.563%9.56%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.151241x1.151241x1.15x8.319%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#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Thompson Township, selected other county subdivisions in the United States, and entities that contain the Thompson Township
Female
Male
2x1x0x1x2xFM#El 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 FranciscoDetroitTract 310100Thompson-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%50-2.993895x-2.993895x2.99x1.000000x1.000000x1.414%1.41%0.472%0.47%-2.993895x-2.993895x2.99x1.000000x1.000000x1.414%1.41%0.472%0.47%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Ohio
County:
Geauga
Metro Area:
Cleveland Area
ZIP Codes:
44024, 44057, 44086
Unified School Districts:
Berkshire, Madison
Congressional District:
OH-14
State Senate District:
OH-32
State House District:
OH-99
Neighboring Townships:
Hambden, Harpersfield, Hartsgrove, Leroy, Madison, Montville, Trumbull
Nearby Townships:
Chardon, Claridon, Concord, Huntsburg, Morgan, Painesville, Perry, Windsor