Educational Attainment in Orange, Cuyahoga County, Ohio (Village)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Cuyahoga County and Orange
Orange
Cuyahoga County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma271.266870%38.241869%71.266870%71.3%1,63726.382238%50.285066%26.382238%26.4%6062.350892%11.473065%2.350892%2.4%54
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 Cuyahoga County at large.
Scope: population of Cuyahoga County and Orange
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma286.358231%86.358231%+86.4%71.267%71.3%38.242%38.2%-47.534646%-47.534646%-47.5%26.382%26.4%50.285%50.3%-79.509465%-79.509465%-79.5%2.351%2.35%11.473%11.5%
% percentage with given level in Orange
ref. percentage with given level in Cuyahoga 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 Cuyahoga County and Orange
Orange
Cuyahoga County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None5.006530%1.371942%5.006530%5.0%11511.449717%2.812469%11.449717%11.4%26316.760993%8.550837%16.760993%16.8%38536.047018%18.156033%36.047018%36.0%8282.002612%7.350588%2.002612%2.0%4616.282107%21.988226%16.282107%16.3%37410.100131%28.296840%10.100131%10.1%2321.218981%8.485233%1.218981%1.2%280.870701%1.987377%0.870701%0.9%200.261210%1.000455%0.261210%0.3%6
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Cuyahoga County at large.
Scope: population of Cuyahoga County and Orange
-200%0%+200%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None264.922985%264.922985%+264.9%5.007%5.01%1.372%1.37%307.105563%307.105563%+307.1%11.450%11.4%2.812%2.81%96.015824%96.015824%+96.0%16.761%16.8%8.551%8.55%98.540160%98.540160%+98.5%36.047%36.0%18.156%18.2%-72.755758%-72.755758%-72.8%2.003%2.00%7.351%7.35%-25.950792%-25.950792%-26.0%16.282%16.3%21.988%22.0%-64.306507%-64.306507%-64.3%10.100%10.1%28.297%28.3%-85.634086%-85.634086%-85.6%1.219%1.22%8.485%8.49%-56.188438%-56.188438%-56.2%0.871%0.87%1.987%1.99%-73.890861%-73.890861%-73.9%0.261%0.26%1.000%1.00%
% percentage with given level in Orange
ref. percentage with given level in Cuyahoga 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 Cuyahoga County and Orange
More Females More Males
Cuyahoga County
Orange
0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-2.493747%4.665386%4.665386%5%69.697%69.7%72.949%72.9%-16.947980%-16.947980%17%0.360838%28.367%28.4%24.256%24.3%44.383895%6.832960%44.383895%44%1.936%1.94%2.795%2.80%
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 Cuyahoga County and Orange
More Females More Males
Cuyahoga County
Orange
1k%0k%1k%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.676575%74.989356%1.676575%0k%4.966%4.97%5.050%5.05%63.775404%65.190518%63.775404%0k%8.754%8.75%14.337%14.3%-17.289548%58.957503%58.957503%0k%13.047%13.0%20.739%20.7%-26.234887%-26.234887%0k%2.189902%40.067%40.1%31.740%31.7%-164.492144%-34.773905%-164.492144%0k%2.862%2.86%1.082%1.08%-4.284280%19.227889%19.227889%0k%14.899%14.9%17.764%17.8%-107.444819%-107.444819%0k%3.965928%13.468%13.5%6.492%6.49%-44.268442%-44.268442%0k%11.215531%1.431%1.43%0.992%0.99%-2.493821%1,000.000000%1,000.000000%> 1000%0.000%0%1.803%1.80%-1,000.000000%-10.102416%-1,000.000000%> 1000%0.505%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 Cuyahoga County and Orange
Orange
Cuyahoga County
0%10%20%30%40%50%60%B.X.Total65+45-6435-4425-3432.967033%12.226279%32.967033%33.0%21063732.155797%17.697173%32.155797%32.2%3551,10429.545455%20.865228%29.545455%29.5%9130869.354839%24.172524%69.354839%69.4%172248
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 Cuyahoga County at large.
Scope: population of Cuyahoga County and Orange
0%50%100%150%%ref.65+45-6435-4425-34169.640768%169.640768%169.6%32.967%33.0%12.226%12.2%81.700190%81.700190%81.7%32.156%32.2%17.697%17.7%41.601395%41.601395%41.6%29.545%29.5%20.865%20.9%186.916004%186.916004%186.9%69.355%69.4%24.173%24.2%
% percentage in Orange with a Bachelor's degree
ref percentage in Cuyahoga 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 Cuyahoga County and Orange
More Females More Males
Cuyahoga County
Orange
100%50%0%50%100%FM65+45-6435-4425-34-7.608696%-7.608696%7.6%38.289307%34.161%34.2%31.746%31.7%-101.501502%-5.386241%-101.501502%101.5%42.361%42.4%21.023%21.0%-12.441802%145.121951%145.121951%145.1%16.667%16.7%40.854%40.9%-4.035122%8.083233%8.083233%8.1%67.123%67.1%72.549%72.5%
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 Cuyahoga County and Orange
Orange
Cuyahoga County
$0k$20k$40k$60k$80kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$90,000.000000$65,664.000000$90,000.000000$90.0k76333.217%33.2%$49,688.000000$49,526.000000$49,688.000000$49.7k82836.047%36.0%$52,827.000000$32,014.000000$52,827.000000$52.8k42018.285%18.3%$39,063.000000$27,365.000000$39,063.000000$39.1k23210.100%10.1%$61,923.000000$36,240.000000$61,923.000000$61.9k2,297100.000%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 Cuyahoga County and Orange
Female Male
Cuyahoga County
Orange
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeTotal$-89,936.000000$-314.000000$-55,432.000000$-90,250.000000$90.3k$89,936.000000$55,432.000000$25,772.000000$89,936.000000$89.9k318445$-37,150.000000$-23,191.000000$-42,404.000000$-60,341.000000$60.3k$37,150.000000$42,404.000000$15,335.000000$37,150.000000$37.2k476352$-61,083.000000$-1,834.000000$-31,552.000000$-62,917.000000$62.9k$61,083.000000$31,552.000000$10,257.000000$61,083.000000$61.1k1,1881,109
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 Cuyahoga County and Orange
Orange
Cuyahoga County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma389.116203%84.520593%89.116203%89.1%1,08965.267176%72.933559%65.267176%65.3%17178.395062%64.221662%78.395062%78.4%1270.000000%0.000000%0.0%39.959294%0
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 Cuyahoga County and Orange
Female Male
Cuyahoga County
Orange
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1BlackAsianHispanic2Other1-1.583435%-1.015435%-7.926436%-2.598870%2.6%1.583435%7.926436%0.154625%1.583435%1.6%1323-0.000000%-15.710372%0.000000%0.0%0.000000%10.000000%15.710372%3.634827%10.000000%10.0%180-0.000000%-9.542828%-4.327435%0.000000%0.0%0.000000%0.000000%9.542828%0.000000%0.0%00-0.000000%-26.685909%0.000000%0.0%0.000000%0.000000%26.685909%1.824895%0.000000%0.0%00-0.000000%-20.020485%0.000000%0.0%0.000000%0.000000%20.020485%1.685350%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Cuyahoga County and Orange
Female Male
Cuyahoga County
Orange
Shaded bar tips show excess over facing bar.
50%0%50%100%MFWhite1BlackAsianHispanic2Other1-64.858757%-35.899229%-64.858757%64.9%64.858757%12.729550%35.899229%2.645800%77.588307%77.6%637574-32.222222%-37.176685%-11.712790%-4.893829%-69.398907%69.4%32.222222%11.712790%32.222222%32.2%58127-83.695652%-60.182325%-83.695652%83.7%83.695652%6.468282%60.182325%8.444459%90.163934%90.2%5577-57.142857%-13.713775%-4.717083%-57.142857%57.1%57.142857%42.857143%13.713775%100.000000%100.0%1516-0.000000%-19.373295%-4.704865%0.000000%0.0%0.000000%100.000000%19.373295%100.000000%100.0%320
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 Orange to the 50 most populous county subdivisions in the Cleveland Area and to those entities that contain or substantially overlap with Orange. 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 Orange, selected other county subdivisions in the Cleveland Area, and entities that contain Orange
0%5%10%15%20%Count#ClevelandPainesvilleEast ClevelandE ClevelandLorainGarfield HeightsGarfield HtsElyriaUnited States of AmericaUnited StatesBrook ParkCuyahoga CountyCuyahogaMaple HeightsWarrensville HeightsWarrensville HtsEast North CentralEuclidOhioCleveland and Elyria Metro AreaClevelandEastlakeMidwestPainesville TownshipPainesvilleParmaAmherstParma HeightsBrunswickMadison TownshipMadisonWickliffeWillowickBedfordBereaMiddleburg HeightsMiddleburg HtsNorth RidgevilleN RidgevilleNorth OlmstedSouth EuclidNorth RoyaltonN RoyaltonSeven HillsWilloughbyMayfield HeightsMayfield HtsCleveland HeightsCleveland HtsLakewoodMedina City TownshipMedina CityWadsworthMentorOlmsted TownshipOlmstedLyndhurstFairview ParkBeachwoodAvonRocky RiverStrongsvilleConcord TownshipConcordShaker HeightsShaker HtsBroadview HeightsBroadview HtsAvon LakeUniversity HeightsUniv HtsWestlakeSolonBrecksvilleBay VillageOrange194900Tract 194900Orange21.582420%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%1,770711.473065%11.473065%11.5%100,034100k11.034573%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%1,338158.335419%8.335419%8.3%1,998168.108320%8.108320%8.1%1,033178.090410%8.090410%8.1%766188.060028%8.060028%8.1%811197.995894%7.995894%8.0%701207.909558%7.909558%7.9%955217.780378%7.780378%7.8%931227.718312%7.718312%7.7%1,758237.388745%7.388745%7.4%1,745247.160545%7.160545%7.2%1,041256.923626%6.923626%6.9%1,552266.913201%6.913201%6.9%630276.723789%6.723789%6.7%1,130286.522968%6.522968%6.5%923296.307136%6.307136%6.3%1,918306.109570%6.109570%6.1%2,246315.475387%5.475387%5.5%941325.350505%5.350505%5.4%806335.268752%5.268752%5.3%1,834345.260925%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%266502.350892%2.350892%2.4%542.350892%2.350892%2.4%542.350892%2.350892%2.4%54
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 Orange, selected other county subdivisions in the Cleveland Area, and entities that contain Orange
0%20%40%60%Count#Orange194900Tract 194900OrangeShaker HeightsShaker HtsBay VillageSolonUniversity HeightsUniv HtsBeachwoodRocky RiverBrecksvilleWestlakeAvon LakeCleveland HeightsCleveland HtsLyndhurstAvonBroadview HeightsBroadview HtsStrongsvilleLakewoodConcord TownshipConcordSouth EuclidOlmsted TownshipOlmstedMayfield HeightsMayfield HtsFairview ParkNorth RoyaltonN RoyaltonMedina City TownshipMedina CityWadsworthMiddleburg HeightsMiddleburg HtsSeven HillsBereaNorth RidgevilleN RidgevilleMentorCuyahoga CountyCuyahogaWilloughbyUnited States of AmericaUnited StatesCleveland and Elyria Metro AreaClevelandNorth OlmstedMidwestEast North CentralOhioWickliffeAmherstBrunswickParma HeightsWillowickPainesville TownshipPainesvilleEuclidParmaBedfordMadison TownshipMadisonWarrensville HeightsWarrensville HtsEastlakeClevelandElyriaMaple HeightsPainesvilleGarfield HeightsGarfield HtsBrook ParkEast ClevelandE ClevelandLorain69.264258%69.264258%69.3%1,59169.264258%69.264258%69.3%1,59169.264258%69.264258%69.3%1,59164.916443%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%3,6111837.243816%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%11,22211.2k2830.891280%30.891280%30.9%269,342269k30.721171%30.721171%30.7%5,1632930.315023%30.315023%30.3%64,767,78764.8M29.705211%29.705211%29.7%424,131424k29.008765%29.008765%29.0%6,8513028.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M26.667466%26.667466%26.7%2,092,8752.09M26.468103%26.468103%26.5%2,5063123.479276%23.479276%23.5%2,0113223.454318%23.454318%23.5%5,6223322.571001%22.571001%22.6%3,3223422.152654%22.152654%22.2%2,2293521.692593%21.692593%21.7%3,0403620.614221%20.614221%20.6%6,8133719.988457%19.988457%20.0%11,42911.4k3819.504962%19.504962%19.5%1,7103919.010989%19.010989%19.0%2,4224017.153575%17.153575%17.2%1,5094116.331407%16.331407%16.3%2,1194216.073076%16.073076%16.1%40,94640.9k4315.411739%15.411739%15.4%5,5514415.370990%15.370990%15.4%2,3434514.732255%14.732255%14.7%1,7584614.137699%14.137699%14.1%2,7294712.604365%12.604365%12.6%1,7214812.406825%12.406825%12.4%1,4984911.718579%11.718579%11.7%4,81250
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Orange, selected other county subdivisions in the Cleveland Area, and entities that contain Orange
0%5%10%15%20%Count#Shaker HeightsShaker HtsOrange194900Tract 194900OrangeBeachwoodSolonUniversity HeightsUniv HtsCleveland HeightsCleveland HtsRocky RiverBay VillageBrecksvilleWestlakeLyndhurstAvon LakeLakewoodBroadview HeightsBroadview HtsStrongsvilleConcord TownshipConcordMayfield HeightsMayfield HtsCuyahoga CountyCuyahogaNorth RoyaltonN RoyaltonFairview ParkAvonSouth EuclidCleveland and Elyria Metro AreaClevelandUnited States of AmericaUnited StatesWadsworthSeven HillsMidwestEast North CentralOhioNorth RidgevilleN RidgevilleMedina City TownshipMedina CityBereaWickliffeWilloughbyNorth OlmstedAmherstClevelandMentorParma HeightsWillowickOlmsted TownshipOlmstedEuclidMiddleburg HeightsMiddleburg HtsPainesville TownshipPainesvilleMadison TownshipMadisonParmaBrunswickLorainElyriaEast ClevelandE ClevelandGarfield HeightsGarfield HtsEastlakeMaple HeightsWarrensville HeightsWarrensville HtsBrook ParkBedfordPainesville20.048500%20.048500%20.0%3,803116.456247%16.456247%16.5%37816.456247%16.456247%16.5%37816.456247%16.456247%16.5%37816.331828%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%604164.184410%4.184410%4.2%36,48436.5k4.157744%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%7,127,6737.13M3.173128%3.173128%3.2%478213.149347%3.149347%3.1%287222.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.603504%2.603504%2.6%593232.432212%2.432212%2.4%418242.368726%2.368726%2.4%286252.260245%2.260245%2.3%214262.159943%2.159943%2.2%363272.108651%2.108651%2.1%498282.089901%2.089901%2.1%179291.927780%1.927780%1.9%4,911301.815622%1.815622%1.8%632311.746161%1.746161%1.7%257321.659710%1.659710%1.7%167331.591006%1.591006%1.6%150341.388805%1.388805%1.4%459351.345479%1.345479%1.3%161361.298701%1.298701%1.3%182371.287284%1.287284%1.3%164381.236490%1.236490%1.2%707391.001252%1.001252%1.0%240400.964372%0.964372%1.0%396410.952302%0.952302%1.0%343420.944178%0.944178%0.9%114430.870331%0.870331%0.9%168440.847784%0.847784%0.8%110450.741324%0.741324%0.7%113460.670683%0.670683%0.7%59470.644500%0.644500%0.6%88480.615946%0.615946%0.6%54490.502807%0.502807%0.5%6050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Orange, selected other county subdivisions in the Cleveland Area, and entities that contain Orange
Female
Male
1x0x1x2xFM#BedfordUniv HtsOlmstedWarrensville HtsEastlakeCleveland HtsMaple HeightsOrangeTract 194900OrangeSouth EuclidWestlakeWillowickLyndhurstE ClevelandLorainWilloughbyShaker HtsNorth OlmstedWickliffeElyriaParma HeightsMidwestEast North CentralN RidgevilleBrook ParkUnited StatesOhioConcordClevelandParmaPainesvilleCuyahogaClevelandMentorMiddleburg HtsBay VillageGarfield HtsPainesvilleAmherstSeven HillsMayfield HtsMadisonBereaEuclidSolonBrunswickFairview ParkBrecksvilleWadsworthRocky RiverN RoyaltonStrongsvilleLakewoodAvonMedina CityBeachwoodAvon LakeBroadview Hts-1.000000x-1.000000x2.068280x2.068280x2.07x5.439%5.44%11.249%11.2%1-1.000000x-1.000000x1.710483x1.710483x1.71x2.772%2.77%4.742%4.74%2-1.000000x-1.000000x1.651003x1.651003x1.65x4.015%4.01%6.628%6.63%3-1.000000x-1.000000x1.608701x1.608701x1.61x8.718%8.72%14.025%14.0%4-1.000000x-1.000000x1.571619x1.571619x1.57x8.111%8.11%12.747%12.7%5-1.000000x-1.000000x1.485471x1.485471x1.49x5.146%5.15%7.645%7.64%6-1.000000x-1.000000x1.465862x1.465862x1.47x9.237%9.24%13.541%13.5%7-1.000000x-1.000000x1.443839x1.443839x1.44x1.936%1.94%2.795%2.80%-1.000000x-1.000000x1.443839x1.443839x1.44x1.936%1.94%2.795%2.80%-1.000000x-1.000000x1.443839x1.443839x1.44x1.936%1.94%2.795%2.80%-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-1.000000x1.146379x1.146379x1.15x8.531%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-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%-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 Orange, selected other county subdivisions in the Cleveland Area, and entities that contain Orange
Female
Male
10x5x0xFM#E ClevelandElyriaAvonPainesvilleAvon LakeLorainBereaParma HeightsBroadview HtsAmherstNorth OlmstedFairview ParkMedina CityConcordBeachwoodSolonBrecksvilleOlmstedShaker HtsRocky RiverEuclidStrongsvilleWestlakeBedfordCuyahogaClevelandOhioLakewoodWillowickWickliffeEast North CentralUniv HtsBay VillageMidwestBrunswickMadisonMayfield HtsN RidgevilleUnited StatesSeven HillsLyndhurstParmaCleveland HtsGarfield HtsOrangeTract 194900OrangeMentorSouth EuclidWadsworthClevelandMiddleburg HtsPainesvilleN RoyaltonWilloughbyEastlakeMaple HeightsBrook ParkWarrensville Hts-1.000000x-1.000000x4.099026x4.099026x4.10x0.399%0.40%1.637%1.64%1-1.000000x-1.000000x3.557903x3.557903x3.56x0.433%0.43%1.542%1.54%2-1.000000x-1.000000x3.112010x3.112010x3.11x1.876%1.88%5.838%5.84%3-1.000000x-1.000000x3.026558x3.026558x3.03x0.668%0.67%2.022%2.02%4-1.000000x-1.000000x2.796983x2.796983x2.80x2.789%2.79%7.801%7.80%5-1.000000x-1.000000x2.695011x2.695011x2.70x0.546%0.55%1.472%1.47%6-1.000000x-1.000000x2.685854x2.685854x2.69x1.329%1.33%3.570%3.57%7-1.000000x-1.000000x2.536696x2.536696x2.54x1.034%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-1.000000x1.903271x1.903271x1.90x0.997%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-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%-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-1.000000x1.412979x1.412979x1.41x13.721%13.7%19.387%19.4%-1.000000x-1.000000x1.412979x1.412979x1.41x13.721%13.7%19.387%19.4%-1.000000x-1.000000x1.412979x1.412979x1.41x13.721%13.7%19.387%19.4%-1.000000x-1.000000x1.325696x1.325696x1.33x1.576%1.58%2.089%2.09%39-1.000000x-1.000000x1.320615x1.320615x1.32x3.245%3.24%4.285%4.28%40-1.000000x-1.000000x1.298874x1.298874x1.30x2.790%2.79%3.624%3.62%41-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%42-1.000000x-1.000000x1.274974x1.274974x1.27x1.190%1.19%1.518%1.52%43-1.000000x-1.000000x1.144459x1.144459x1.14x0.470%0.47%0.538%0.54%44-1.000000x-1.000000x1.005152x1.005152x1.01x4.148%4.15%4.169%4.17%45-1.033709x-1.033709x1.03x1.000000x1.000000x2.193%2.19%2.121%2.12%46-1.349900x-1.349900x1.35x1.000000x1.000000x0.969%0.97%0.718%0.72%47-2.966328x-2.966328x2.97x1.000000x1.000000x1.025%1.03%0.346%0.35%48-4.074239x-4.074239x4.07x1.000000x1.000000x1.005%1.00%0.247%0.25%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.062%1.06%0.030%0.03%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in Ohio

There are 1,606 county subdivisions in Ohio. This section compares Orange to the 50 most populous county subdivisions in Ohio and to those entities that contain or substantially overlap with Orange. 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 Orange, selected other county subdivisions in Ohio, and entities that contain Orange
0%5%10%15%20%Count#ClevelandMiddletownLorainYoungstownSpringfieldDaytonMansfieldLimaMarion TownshipMarionCantonHamiltonWarrenToledoCincinnatiAkronElyriaUnited States of AmericaUnited StatesNewarkBath TownshipLancaster City TownshipLancaster CityCuyahoga CountyCuyahogaColumbusColerain TownshipColerainEast North CentralEuclidOhioCleveland and Elyria Metro AreaClevelandMidwestParmaFindlayFairfieldMiami TownshipMiamiUnion TownshipUnionHuber HeightsJackson TownshipJacksonCleveland HeightsCleveland HtsCuyahoga FallsPlain TownshipPlainLakewoodKetteringGreen TownshipGrnBoardman TownshipBoardmanWest Chester TownshipW ChesterMiami TownshipMiamiMifflin TownshipMifflinMentorLiberty TownshipLibertySylvania TownshipSylvaniaStrongsvilleViolet TownshipVioletJackson TownshipJacksonWashington TownshipWashingtonAnderson TownshipAndersonDeerfield TownshipDeerfieldBeavercreek TownshipBeavercreekOrange194900Tract 194900OrangeDublin21.582420%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%3,3311911.473065%11.473065%11.5%100,034100k11.376979%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%2,482248.712972%8.712972%8.7%2,559258.614662%8.614662%8.6%3,080268.597523%8.597523%8.6%2,777277.261193%7.261193%7.3%1,797286.480864%6.480864%6.5%1,944296.307136%6.307136%6.3%1,918306.197364%6.197364%6.2%2,215316.171554%6.171554%6.2%2,311326.109570%6.109570%6.1%2,246335.953744%5.953744%6.0%2,340345.804316%5.804316%5.8%2,402355.764815%5.764815%5.8%1,682365.727981%5.727981%5.7%2,390375.628396%5.628396%5.6%1,554385.595517%5.595517%5.6%1,408395.268752%5.268752%5.3%1,834405.136204%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%1,170492.350892%2.350892%2.4%542.350892%2.350892%2.4%542.350892%2.350892%2.4%541.754602%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 Orange, selected other county subdivisions in Ohio, and entities that contain Orange
0%20%40%60%Count#DublinOrange194900Tract 194900OrangeDeerfield TownshipDeerfieldAnderson TownshipAndersonWashington TownshipWashingtonBeavercreek TownshipBeavercreekCleveland HeightsCleveland HtsLiberty TownshipLibertyWest Chester TownshipW ChesterSylvania TownshipSylvaniaStrongsvilleMifflin TownshipMifflinViolet TownshipVioletLakewoodMiami TownshipMiamiJackson TownshipJacksonColumbusCincinnatiKetteringPlain TownshipPlainGreen TownshipGrnCuyahoga FallsMentorBoardman TownshipBoardmanCuyahoga CountyCuyahogaUnited States of AmericaUnited StatesCleveland and Elyria Metro AreaClevelandUnion TownshipUnionJackson TownshipJacksonMidwestEast North CentralFairfieldBath TownshipFindlayMiami TownshipMiamiOhioHuber HeightsColerain TownshipColerainEuclidAkronParmaNewarkToledoDaytonMiddletownLancaster City TownshipLancaster CityClevelandElyriaHamiltonSpringfieldCantonMansfieldWarrenYoungstownLorainLimaMarion TownshipMarion75.246997%75.246997%75.2%18,35518.4k169.264258%69.264258%69.3%1,59169.264258%69.264258%69.3%1,59169.264258%69.264258%69.3%1,59157.851139%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%12,09212.1k1534.685843%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%9,1092330.891280%30.891280%30.9%269,342269k30.315023%30.315023%30.3%64,767,78764.8M29.705211%29.705211%29.7%424,131424k29.613003%29.613003%29.6%9,5652428.997200%28.997200%29.0%8,6982528.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.219271%28.219271%28.2%8,2882626.954091%26.954091%27.0%6,6522726.775738%26.775738%26.8%7,3812826.713842%26.713842%26.7%9,5512926.667466%26.667466%26.7%2,092,8752.09M22.834168%22.834168%22.8%5,6513021.665661%21.665661%21.7%8,6163120.614221%20.614221%20.6%6,8133220.213821%20.213821%20.2%26,69726.7k3319.988457%19.988457%20.0%11,42911.4k3418.053148%18.053148%18.1%5,7273518.048021%18.048021%18.0%33,17133.2k3617.635555%17.635555%17.6%15,51115.5k3716.631922%16.631922%16.6%5,1063816.462939%16.462939%16.5%4,4313916.073076%16.073076%16.1%40,94640.9k4015.411739%15.411739%15.4%5,5514115.075315%15.075315%15.1%6,1454214.851256%14.851256%14.9%5,7664314.608666%14.608666%14.6%6,8244413.812631%13.812631%13.8%4,4884512.832476%12.832476%12.8%3,4934612.044055%12.044055%12.0%5,2604711.718579%11.718579%11.7%4,8124811.460139%11.460139%11.5%2,6454910.478559%10.478559%10.5%3,24550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Orange, selected other county subdivisions in Ohio, and entities that contain Orange
0%5%10%15%Count#Orange194900Tract 194900OrangeCleveland HeightsCleveland HtsDublinAnderson TownshipAndersonSylvania TownshipSylvaniaWashington TownshipWashingtonBeavercreek TownshipBeavercreekJackson TownshipJacksonLakewoodCincinnatiStrongsvilleCuyahoga CountyCuyahogaDeerfield TownshipDeerfieldWest Chester TownshipW ChesterKetteringLiberty TownshipLibertyCleveland and Elyria Metro AreaClevelandMifflin TownshipMifflinColumbusUnited States of AmericaUnited StatesPlain TownshipPlainBoardman TownshipBoardmanViolet TownshipVioletMiami TownshipMiamiMidwestEast North CentralOhioCuyahoga FallsGreen TownshipGrnBath TownshipAkronJackson TownshipJacksonClevelandMentorColerain TownshipColerainMiami TownshipMiamiFindlayToledoSpringfieldFairfieldEuclidHuber HeightsLimaDaytonCantonHamiltonUnion TownshipUnionParmaNewarkLancaster City TownshipLancaster CityMansfieldMiddletownLorainElyriaYoungstownWarrenMarion TownshipMarion16.456247%16.456247%16.5%37816.456247%16.456247%16.5%37816.456247%16.456247%16.5%37810.753042%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%1,471104.184410%4.184410%4.2%36,48436.5k4.149830%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%7,127,6737.13M3.036372%3.036372%3.0%1,137172.957809%2.957809%3.0%863182.940052%2.940052%2.9%769192.911988%2.911988%2.9%804202.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.481744%2.481744%2.5%887212.476862%2.476862%2.5%1,025222.451477%2.451477%2.5%605232.163955%2.163955%2.2%2,858242.063608%2.063608%2.1%619251.927780%1.927780%1.9%4,911261.815622%1.815622%1.8%632271.815530%1.815530%1.8%722281.762090%1.762090%1.8%630291.675978%1.675978%1.7%462301.642065%1.642065%1.6%3,018311.545396%1.545396%1.5%600321.477698%1.477698%1.5%434331.388805%1.388805%1.4%459341.349604%1.349604%1.3%334351.304159%1.304159%1.3%301361.257490%1.257490%1.3%1,106371.245933%1.245933%1.2%582381.241352%1.241352%1.2%506391.238390%1.238390%1.2%400401.236490%1.236490%1.2%707411.182108%1.182108%1.2%375421.159205%1.159205%1.2%312431.104887%1.104887%1.1%359440.996743%0.996743%1.0%306450.964372%0.964372%1.0%396460.952302%0.952302%1.0%343470.794541%0.794541%0.8%347480.742101%0.742101%0.7%202490.720098%0.720098%0.7%22350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Orange, selected other county subdivisions in Ohio, and entities that contain Orange
Female
Male
1x0x1xFM#AndersonMansfieldCleveland HtsOrangeTract 194900OrangeBeavercreekUnionToledoFindlayLorainMarionYoungstownColerainGrnFairfieldElyriaMiddletownLancaster CityMidwestEast North CentralSpringfieldWarrenDaytonCantonUnited StatesOhioClevelandLimaParmaCuyahogaColumbusClevelandDeerfieldMentorNewarkW ChesterPlainLibertyJacksonHuber HeightsHamiltonJacksonCincinnatiAkronMifflinSylvaniaMiamiEuclidMiamiCuyahoga FallsStrongsvilleLakewoodBath TownshipDublinKetteringWashingtonBoardmanViolet-1.000000x-1.000000x1.766803x1.766803x1.77x2.468%2.47%4.360%4.36%1-1.000000x-1.000000x1.592708x1.592708x1.59x12.530%12.5%19.956%20.0%2-1.000000x-1.000000x1.485471x1.485471x1.49x5.146%5.15%7.645%7.64%3-1.000000x-1.000000x1.443839x1.443839x1.44x1.936%1.94%2.795%2.80%-1.000000x-1.000000x1.443839x1.443839x1.44x1.936%1.94%2.795%2.80%-1.000000x-1.000000x1.443839x1.443839x1.44x1.936%1.94%2.795%2.80%-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-1.000000x1.147049x1.147049x1.15x17.010%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-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%-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 Orange, selected other county subdivisions in Ohio, and entities that contain Orange
Female
Male
1x0x1x2x3xFM#ElyriaSpringfieldWashingtonYoungstownBoardmanLorainMiddletownLancaster CityFindlayAndersonJacksonKetteringMifflinPlainBeavercreekDeerfieldDaytonNewarkEuclidMiamiAkronDublinSylvaniaStrongsvilleBath TownshipCuyahogaClevelandOhioFairfieldMansfieldW ChesterHuber HeightsLakewoodEast North CentralMidwestWarrenUnited StatesLibertyParmaCleveland HtsColumbusOrangeTract 194900OrangeUnionMentorGrnJacksonClevelandCincinnatiMiamiMarionVioletColerainToledoHamiltonCantonCuyahoga FallsLima-1.000000x-1.000000x3.557903x3.557903x3.56x0.433%0.43%1.542%1.54%1-1.000000x-1.000000x3.025650x3.025650x3.03x0.799%0.80%2.417%2.42%2-1.000000x-1.000000x2.977263x2.977263x2.98x3.534%3.53%10.523%10.5%3-1.000000x-1.000000x2.809581x2.809581x2.81x0.426%0.43%1.196%1.20%4-1.000000x-1.000000x2.780060x2.780060x2.78x1.621%1.62%4.507%4.51%5-1.000000x-1.000000x2.695011x2.695011x2.70x0.546%0.55%1.472%1.47%6-1.000000x-1.000000x2.596948x2.596948x2.60x0.564%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-1.000000x1.903271x1.903271x1.90x0.997%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-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%-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-1.000000x1.412979x1.412979x1.41x13.721%13.7%19.387%19.4%-1.000000x-1.000000x1.412979x1.412979x1.41x13.721%13.7%19.387%19.4%-1.000000x-1.000000x1.412979x1.412979x1.41x13.721%13.7%19.387%19.4%-1.000000x-1.000000x1.348352x1.348352x1.35x1.062%1.06%1.431%1.43%36-1.000000x-1.000000x1.325696x1.325696x1.33x1.576%1.58%2.089%2.09%37-1.000000x-1.000000x1.319751x1.319751x1.32x2.156%2.16%2.845%2.85%38-1.000000x-1.000000x1.297270x1.297270x1.30x1.812%1.81%2.351%2.35%39-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%40-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%41-1.000000x-1.000000x1.246667x1.246667x1.25x1.577%1.58%1.966%1.97%42-1.000000x-1.000000x1.217109x1.217109x1.22x0.642%0.64%0.782%0.78%43-1.000000x-1.000000x1.149458x1.149458x1.15x2.746%2.75%3.157%3.16%44-1.000000x-1.000000x1.145376x1.145376x1.15x1.701%1.70%1.948%1.95%45-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%46-1.000000x-1.000000x1.036455x1.036455x1.04x1.220%1.22%1.265%1.26%47-1.103703x-1.103703x1.10x1.000000x1.000000x1.302%1.30%1.180%1.18%48-1.188945x-1.188945x1.19x1.000000x1.000000x2.687%2.69%2.260%2.26%49-1.404867x-1.404867x1.40x1.000000x1.000000x1.525%1.53%1.086%1.09%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares Orange to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Orange. 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 Orange, selected other county subdivisions in the Midwest, and entities that contain Orange
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 TownshipBloomingdaleCuyahoga CountyCuyahogaColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthOhioCleveland and Elyria Metro AreaClevelandMidwestLawrence TownshipLawrenceSioux FallsCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn ArborOrange194900Tract 194900Orange33.464284%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%9,3752611.473065%11.473065%11.5%100,034100k11.376979%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%9,123348.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,057502.350892%2.350892%2.4%542.350892%2.350892%2.4%542.350892%2.350892%2.4%54
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 Orange, selected other county subdivisions in the Midwest, and entities that contain Orange
0%20%40%60%Count#Ann ArborOrange194900Tract 194900OrangeOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsCuyahoga CountyCuyahogaUnited States of AmericaUnited StatesSioux FallsCleveland and Elyria Metro AreaClevelandMidwestWichitaEast North CentralSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldOhioProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k169.264258%69.264258%69.3%1,59169.264258%69.264258%69.3%1,59169.264258%69.264258%69.3%1,59158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.891280%30.891280%30.9%269,342269k30.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2929.705211%29.705211%29.7%424,131424k28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.667466%26.667466%26.7%2,092,8752.09M26.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Orange, selected other county subdivisions in the Midwest, and entities that contain Orange
0%5%10%15%Count#Ann ArborOrange194900Tract 194900OrangeMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalCuyahoga CountyCuyahogaOmahaMaine TownshipMainePalatine TownshipPalatineCleveland and Elyria Metro AreaClevelandWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheOhioCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k116.456247%16.456247%16.5%37816.456247%16.456247%16.5%37816.456247%16.456247%16.5%3789.171173%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%3,357174.184410%4.184410%4.2%36,48436.5k4.059919%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%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.683241%2.683241%2.7%210,582211k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Orange, selected other county subdivisions in the Midwest, and entities that contain Orange
Female
Male
1x0x1xFM#OrangeTract 194900OrangeCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheOhioWorthNOverland ParkClevelandAuroraWheelingGrand RapidsSchaumburgCuyahogaChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.443839x1.443839x1.44x1.936%1.94%2.795%2.80%-1.000000x-1.000000x1.443839x1.443839x1.44x1.936%1.94%2.795%2.80%-1.000000x-1.000000x1.443839x1.443839x1.44x1.936%1.94%2.795%2.80%-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-1.000000x1.132245x1.132245x1.13x19.779%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-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%-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 Orange, selected other county subdivisions in the Midwest, and entities that contain Orange
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsCuyahogaOlatheClevelandOhioOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusOrangeTract 194900OrangeMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%-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-1.000000x1.412979x1.412979x1.41x13.721%13.7%19.387%19.4%-1.000000x-1.000000x1.412979x1.412979x1.41x13.721%13.7%19.387%19.4%-1.000000x-1.000000x1.412979x1.412979x1.41x13.721%13.7%19.387%19.4%-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares Orange to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Orange. 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 Orange, selected other county subdivisions in the United States, and entities that contain Orange
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, CharlotteCuyahoga CountyCuyahogaColumbusTulsaEast North CentralOhioCleveland and Elyria Metro AreaClevelandSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaSeattleNortheast TarrantNE TarrantPlanoSeattle EastOrange194900Tract 194900Orange28.998944%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%61,37861.4k3911.473065%11.473065%11.5%100,034100k11.376979%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%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k502.350892%2.350892%2.4%542.350892%2.350892%2.4%542.350892%2.350892%2.4%54
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 Orange, selected other county subdivisions in the United States, and entities that contain Orange
0%20%40%60%Count#Orange194900Tract 194900OrangeManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaCuyahoga CountyCuyahogaQueensUnited States of AmericaUnited StatesHoustonBaltimoreCleveland and Elyria Metro AreaClevelandLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioOhioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit69.264258%69.264258%69.3%1,59169.264258%69.264258%69.3%1,59169.264258%69.264258%69.3%1,59160.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.891280%30.891280%30.9%269,342269k30.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.705211%29.705211%29.7%424,131424k29.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.667466%26.667466%26.7%2,092,8752.09M26.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Orange, selected other county subdivisions in the United States, and entities that contain Orange
0%5%10%15%Count#Orange194900Tract 194900OrangeWashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaCuyahoga CountyCuyahogaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…Cleveland and Elyria Metro AreaClevelandBrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong 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 DallasBronxDetroit16.456247%16.456247%16.5%37816.456247%16.456247%16.5%37816.456247%16.456247%16.5%37812.461852%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%19,24719.2k194.184410%4.184410%4.2%36,48436.5k4.025531%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%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.683241%2.683241%2.7%210,582211k2.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Orange, selected other county subdivisions in the United States, and entities that contain Orange
Female
Male
1x0x1xFM#OrangeTract 194900Orange1, CharlotteDetroitBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeUnited StatesOhioNE DallasHoustonClevelandHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixCuyahogaChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.443839x1.443839x1.44x1.936%1.94%2.795%2.80%-1.000000x-1.000000x1.443839x1.443839x1.44x1.936%1.94%2.795%2.80%-1.000000x-1.000000x1.443839x1.443839x1.44x1.936%1.94%2.795%2.80%-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-1.000000x1.127915x1.127915x1.13x9.647%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-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%-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 Orange, selected other county subdivisions in the United States, and entities that contain Orange
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthCuyahogaClevelandOhioOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusOrangeTract 194900OrangeMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%-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-1.000000x1.412979x1.412979x1.41x13.721%13.7%19.387%19.4%-1.000000x-1.000000x1.412979x1.412979x1.41x13.721%13.7%19.387%19.4%-1.000000x-1.000000x1.412979x1.412979x1.41x13.721%13.7%19.387%19.4%-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Ohio
County:
Cuyahoga
Metro Area:
Cleveland Area
Village:
Orange
ZIP Codes:
44022, 44122
Unified School Districts:
Orange, Warrensville Heights
Congressional District:
OH-11
State Senate District:
OH-25
State House District:
OH-12
Nearby Townships:
Chagrin Falls