Educational Attainment in Sheffield, Lorain County, Ohio (Village)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Lorain County and Sheffield
Sheffield
Lorain County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma238.842422%33.165928%38.842422%38.8%1,16156.908665%55.996036%56.908665%56.9%1,7014.248913%10.838036%4.248913%4.2%127
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 Lorain County at large.
Scope: population of Lorain County and Sheffield
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma217.115438%17.115438%+17.1%38.842%38.8%33.166%33.2%1.629810%1.629810%+1.6%56.909%56.9%55.996%56.0%-60.796284%-60.796284%-60.8%4.249%4.25%10.838%10.8%
% percentage with given level in Sheffield
ref. percentage with given level in Lorain 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 Lorain County and Sheffield
Sheffield
Lorain County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.301104%0.804314%0.301104%0.3%90.401472%1.222827%0.401472%0.4%1213.014386%6.865532%13.014386%13.0%38914.687186%14.595991%14.687186%14.7%43910.438274%9.677264%10.438274%10.4%31225.894948%23.801346%25.894948%25.9%77431.013717%32.194690%31.013717%31.0%9274.081633%8.166289%4.081633%4.1%1220.000000%0.000000%0.0%1.769780%00.167280%0.901967%0.167280%0.2%5
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 Lorain County at large.
Scope: population of Lorain County and Sheffield
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-62.563871%-62.563871%-62.6%0.301%0.30%0.804%0.80%-67.168524%-67.168524%-67.2%0.401%0.40%1.223%1.22%89.561208%89.561208%+89.6%13.014%13.0%6.866%6.87%0.624798%0.624798%+0.6%14.687%14.7%14.596%14.6%7.863891%7.863891%+7.9%10.438%10.4%9.677%9.68%8.796150%8.796150%+8.8%25.895%25.9%23.801%23.8%-3.668224%-3.668224%-3.7%31.014%31.0%32.195%32.2%-50.018514%-50.018514%-50.0%4.082%4.08%8.166%8.17%-100.000000%-100.000000%-100.0%0.000%0%1.770%1.77%-81.453864%-81.453864%-81.5%0.167%0.17%0.902%0.90%
% percentage with given level in Sheffield
ref. percentage with given level in Lorain 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 Lorain County and Sheffield
More Females More Males
Lorain County
Sheffield
0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-8.926289%5.601014%5.601014%6%37.865%37.9%39.985%40.0%-3.914009%-3.914009%4%1.260656%57.914%57.9%55.733%55.7%1.435371%21.686286%1.435371%1%4.221%4.22%4.282%4.28%
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 Lorain County and Sheffield
More Females More Males
Lorain County
Sheffield
1k%0k%1k%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3None-1,000.000000%-1,000.000000%> 1000%105.646391%0.559%0.56%0.000%0%1,000.000000%110.630663%1,000.000000%> 1000%0.000%0%0.871%0.87%-2.451016%-22.774750%-2.451016%0k%13.160%13.2%12.845%12.8%81.480153%3.036792%81.480153%0k%10.677%10.7%19.376%19.4%-95.384364%-41.621403%-95.384364%0k%13.470%13.5%6.894%6.89%-9.185380%-4.448762%-9.185380%0k%26.940%26.9%24.673%24.7%0.274279%5.538228%0.274279%0k%30.975%31.0%31.060%31.1%-0.811386%-0.811386%0k%22.460891%4.097%4.10%4.064%4.06%75.362845%9.006641%75.362845%0k%0.124%0.12%0.218%0.22%
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 Lorain County and Sheffield
Sheffield
Lorain County
0%5%10%15%B.X.Total65+45-6435-4425-3417.427386%9.842051%17.427386%17.4%12672312.109115%14.974438%12.109115%12.1%1821,50318.558952%18.480288%18.558952%18.6%8545815.081967%16.240827%15.081967%15.1%46305
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 Lorain County at large.
Scope: population of Lorain County and Sheffield
0%20%40%60%%ref.65+45-6435-4425-3477.070670%77.070670%77.1%17.427%17.4%9.842%9.84%-19.134761%-19.134761%19.1%12.109%12.1%14.974%15.0%0.425665%0.425665%0.4%18.559%18.6%18.480%18.5%-7.135471%-7.135471%7.1%15.082%15.1%16.241%16.2%
% percentage in Sheffield with a Bachelor's degree
ref percentage in Lorain 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 Lorain County and Sheffield
More Females More Males
Lorain County
Sheffield
0%100%200%300%400%FM65+45-6435-4425-3474.626600%33.252848%74.626600%74.6%13.349%13.3%23.311%23.3%467.665270%11.427098%467.665270%467.7%3.723%3.72%21.133%21.1%-49.594156%-23.430317%-49.594156%49.6%21.591%21.6%14.433%14.4%-98.414685%-20.210090%-98.414685%98.4%20.567%20.6%10.366%10.4%
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 Lorain County and Sheffield
Sheffield
Lorain County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$73,024.000000$69,217.000000$73,024.000000$73.0k41013.717%13.7%$56,927.000000$51,288.000000$56,927.000000$56.9k43914.687%14.7%$40,677.000000$33,212.000000$40,677.000000$40.7k1,08636.333%36.3%$32,880.000000$28,857.000000$32,880.000000$32.9k92731.014%31.0%$12,404.000000$21,853.000000$12,404.000000$12.4k1274.249%4.25%$39,334.000000$35,951.000000$39,334.000000$39.3k2,989100.000%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 Lorain County and Sheffield
Female Male
Lorain County
Sheffield
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-56,250.000000$-60,740.000000$-56,250.000000$56.3k$56,250.000000$29,271.000000$60,740.000000$20,311.000000$85,521.000000$85.5k221189$-41,776.000000$-40,660.000000$-41,776.000000$41.8k$41,776.000000$32,946.000000$40,660.000000$25,423.000000$74,722.000000$74.7k172267$-35,274.000000$-27,138.000000$-35,274.000000$35.3k$35,274.000000$20,307.000000$27,138.000000$16,016.000000$55,581.000000$55.6k651435$-26,278.000000$-21,174.000000$-26,278.000000$26.3k$26,278.000000$12,737.000000$21,174.000000$15,665.000000$39,015.000000$39.0k499428$-2,499.000000$-13,195.000000$-16,498.000000$-15,694.000000$15.7k$2,499.000000$16,498.000000$9,820.000000$2,499.000000$2.5k6859$-31,742.000000$-28,540.000000$-31,742.000000$31.7k$31,742.000000$24,840.000000$28,540.000000$15,902.000000$56,582.000000$56.6k1,6111,378
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 Lorain County and Sheffield
Sheffield
Lorain County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma390.679305%82.960134%90.679305%90.7%57480.710059%73.415779%80.710059%80.7%68276.520509%67.221217%76.520509%76.5%54154.320988%45.280731%54.320988%54.3%44
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 Lorain County and Sheffield
Female Male
Lorain County
Sheffield
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1BlackAsianHispanic2Other1-4.000000%-0.850214%-8.371806%-4.850214%4.9%4.000000%8.371806%1.353826%4.000000%4.0%4768-0.000000%-15.491378%0.000000%0.0%0.000000%9.523810%15.491378%5.171390%9.523810%9.5%120-0.000000%-16.845180%0.000000%0.0%0.000000%0.000000%16.845180%7.242411%0.000000%0.0%00-0.000000%-20.313768%0.000000%0.0%0.000000%0.000000%20.313768%7.295660%0.000000%0.0%00-0.000000%-18.229814%0.000000%0.0%0.000000%0.000000%18.229814%3.775003%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 Lorain County and Sheffield
Female Male
Lorain County
Sheffield
Shaded bar tips show excess over facing bar.
50%0%50%100%MFWhite1BlackAsianHispanic2Other1-23.680456%-24.356248%-23.680456%23.7%23.680456%7.638692%24.356248%1.777326%31.319149%31.3%368332-49.230769%-10.233918%-4.584531%-49.230769%49.2%49.230769%4.737485%10.233918%53.968254%54.0%6832-57.894737%-14.605263%-50.048685%-72.500000%72.5%57.894737%50.048685%1.922117%57.894737%57.9%1129-0.000000%-8.922559%-6.021991%0.000000%0.0%0.000000%12.500000%8.922559%12.500000%12.5%70-0.000000%-13.365443%-1.572446%0.000000%0.0%0.000000%100.000000%13.365443%100.000000%100.0%20
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 Sheffield to the 50 most populous county subdivisions in the Cleveland Area and to those entities that contain or substantially overlap with Sheffield. 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 Sheffield, selected other county subdivisions in the Cleveland Area, and entities that contain Sheffield
0%5%10%15%20%Count#ClevelandPainesvilleEast ClevelandE ClevelandLorainGarfield HeightsGarfield HtsElyriaUnited States of AmericaUnited StatesBrook ParkMaple HeightsLorain CountyLorainWarrensville HeightsWarrensville HtsEast North CentralEuclidOhioCleveland and Elyria Metro AreaClevelandEastlakeMidwestPainesville TownshipPainesvilleParmaAmherstParma HeightsBrunswickMadison TownshipMadisonWickliffeWillowickBedfordBereaMiddleburg HeightsMiddleburg HtsNorth RidgevilleN RidgevilleNorth OlmstedSouth EuclidNorth RoyaltonN RoyaltonSeven HillsSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkWilloughbyMayfield HeightsMayfield HtsCleveland HeightsCleveland HtsLakewoodMedina City TownshipMedina CityWadsworthMentorOlmsted TownshipOlmstedLyndhurstFairview ParkBeachwoodAvonRocky RiverSheffield028100Tract 028100SheffieldStrongsvilleConcord TownshipConcordShaker HeightsShaker HtsBroadview HeightsBroadview HtsAvon LakeUniversity HeightsUniv HtsWestlakeSolonBrecksvilleBay Village21.582420%21.582420%21.6%54,98155.0k120.849744%20.849744%20.8%2,488217.914527%17.914527%17.9%2,163317.551080%17.551080%17.6%7,207414.510698%14.510698%14.5%2,801513.343328%13.343328%13.3%4,806613.020590%13.020590%13.0%27,818,38027.8M12.963234%12.963234%13.0%1,770711.034573%11.034573%11.0%1,682810.838036%10.838036%10.8%22,53022.5k10.730931%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%630276.910221%6.910221%6.9%6456.723789%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%631404.248913%4.248913%4.2%1274.248913%4.248913%4.2%1274.248913%4.248913%4.2%1274.066023%4.066023%4.1%1,313413.924694%3.924694%3.9%517423.811482%3.811482%3.8%723433.782309%3.782309%3.8%499443.695829%3.695829%3.7%591453.692666%3.692666%3.7%285463.561575%3.561575%3.6%852473.089942%3.089942%3.1%482482.613438%2.613438%2.6%254492.452291%2.452291%2.5%26650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Sheffield, selected other county subdivisions in the Cleveland Area, and entities that contain Sheffield
0%20%40%60%Count#Shaker 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 RidgevilleMentorWilloughbyUnited States of AmericaUnited StatesCleveland and Elyria Metro AreaClevelandNorth OlmstedMidwestEast North CentralSheffield028100Tract 028100SheffieldOhioWickliffeSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkLorain CountyLorainAmherstBrunswickParma HeightsWillowickPainesville TownshipPainesvilleEuclidParmaBedfordMadison TownshipMadisonWarrensville HeightsWarrensville HtsEastlakeClevelandElyriaMaple HeightsPainesvilleGarfield HeightsGarfield HtsBrook ParkEast ClevelandE ClevelandLorain64.916443%64.916443%64.9%12,31412.3k163.953167%63.953167%64.0%6,937262.029617%62.029617%62.0%9,676356.970718%56.970718%57.0%4,397456.918736%56.918736%56.9%5,043555.159830%55.159830%55.2%8,162653.791542%53.791542%53.8%5,228752.478890%52.478890%52.5%12,55412.6k851.485210%51.485210%51.5%8,233950.973364%50.973364%51.0%15,50115.5k1048.327523%48.327523%48.3%5,1291147.199105%47.199105%47.2%6,7491245.713636%45.713636%45.7%6,0311344.614765%44.614765%44.6%14,40714.4k1443.651053%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%11,22211.2k2830.721171%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%8,931,6868.93M28.404149%28.404149%28.4%84928.404149%28.404149%28.4%84928.404149%28.404149%28.4%84926.667466%26.667466%26.7%2,092,8752.09M26.468103%26.468103%26.5%2,5063123.526891%23.526891%23.5%2,19623.488664%23.488664%23.5%48,82848.8k23.479276%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 Sheffield, selected other county subdivisions in the Cleveland Area, and entities that contain Sheffield
0%5%10%15%20%Count#Shaker HeightsShaker HtsBeachwoodSolonUniversity HeightsUniv HtsCleveland HeightsCleveland HtsRocky RiverBay VillageBrecksvilleWestlakeLyndhurstAvon LakeLakewoodBroadview HeightsBroadview HtsStrongsvilleConcord TownshipConcordMayfield HeightsMayfield HtsNorth RoyaltonN RoyaltonFairview ParkAvonSouth EuclidCleveland and Elyria Metro AreaClevelandUnited States of AmericaUnited StatesWadsworthSeven HillsMidwestEast North CentralOhioNorth RidgevilleN RidgevilleMedina City TownshipMedina CityBereaWickliffeWilloughbyNorth OlmstedAmherstLorain CountyLorainClevelandMentorParma HeightsWillowickOlmsted TownshipOlmstedEuclidMiddleburg HeightsMiddleburg HtsPainesville TownshipPainesvilleMadison TownshipMadisonParmaSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkBrunswickLorainElyriaEast ClevelandE ClevelandGarfield HeightsGarfield HtsEastlakeMaple HeightsSheffield028100Tract 028100SheffieldWarrensville HeightsWarrensville HtsBrook ParkBedfordPainesville20.048500%20.048500%20.0%3,803116.331828%16.331828%16.3%1,447212.584140%12.584140%12.6%1,963312.101581%12.101581%12.1%934410.753042%10.753042%10.8%3,27058.616611%8.616611%8.6%1,27568.583018%8.583018%8.6%93178.354769%8.354769%8.4%81287.950840%7.950840%8.0%1,90295.512108%5.512108%5.5%585105.115377%5.115377%5.1%818115.051412%5.051412%5.1%1,857124.964754%4.964754%5.0%655134.555308%4.555308%4.6%1,471144.364989%4.364989%4.4%575154.268551%4.268551%4.3%604164.157744%4.157744%4.2%932173.931266%3.931266%3.9%469183.755507%3.755507%3.8%537193.693768%3.693768%3.7%537203.424359%3.424359%3.4%48,89348.9k3.336158%3.336158%3.3%7,127,6737.13M3.173128%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%179292.027141%2.027141%2.0%4,2141.927780%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%707391.199914%1.199914%1.2%1121.001252%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%113460.702576%0.702576%0.7%210.702576%0.702576%0.7%210.702576%0.702576%0.7%210.670683%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 Sheffield, selected other county subdivisions in the Cleveland Area, and entities that contain Sheffield
Female
Male
1x0x1x2xFM#BedfordUniv HtsOlmstedWarrensville HtsEastlakeCleveland HtsMaple HeightsSouth EuclidWestlakeWillowickLyndhurstLorainE ClevelandLorainWilloughbyShaker HtsNorth OlmstedWickliffeElyriaParma HeightsMidwestEast North CentralN RidgevilleBrook ParkUnited StatesOhioConcordClevelandParmaPainesvilleSheffield-Sheffield LkClevelandMentorMiddleburg HtsBay VillageSheffieldTract 028100SheffieldGarfield HtsPainesvilleAmherstSeven HillsMayfield HtsMadisonBereaEuclidSolonBrunswickFairview ParkBrecksvilleWadsworthRocky RiverN RoyaltonStrongsvilleLakewoodAvonMedina CityBeachwoodAvon LakeBroadview Hts-1.000000x-1.000000x2.068280x2.068280x2.07x5.439%5.44%11.249%11.2%1-1.000000x-1.000000x1.710483x1.710483x1.71x2.772%2.77%4.742%4.74%2-1.000000x-1.000000x1.651003x1.651003x1.65x4.015%4.01%6.628%6.63%3-1.000000x-1.000000x1.608701x1.608701x1.61x8.718%8.72%14.025%14.0%4-1.000000x-1.000000x1.571619x1.571619x1.57x8.111%8.11%12.747%12.7%5-1.000000x-1.000000x1.485471x1.485471x1.49x5.146%5.15%7.645%7.64%6-1.000000x-1.000000x1.465862x1.465862x1.47x9.237%9.24%13.541%13.5%7-1.000000x-1.000000x1.391112x1.391112x1.39x6.126%6.13%8.522%8.52%8-1.000000x-1.000000x1.381991x1.381991x1.38x3.030%3.03%4.188%4.19%9-1.000000x-1.000000x1.277044x1.277044x1.28x7.111%7.11%9.082%9.08%10-1.000000x-1.000000x1.245772x1.245772x1.25x4.143%4.14%5.161%5.16%11-1.000000x-1.000000x1.216863x1.216863x1.22x9.813%9.81%11.941%11.9%-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-1.000000x1.064170x1.064170x1.06x6.706%6.71%7.136%7.14%-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-1.000000x1.014354x1.014354x1.01x4.221%4.22%4.282%4.28%-1.000000x-1.000000x1.014354x1.014354x1.01x4.221%4.22%4.282%4.28%-1.000000x-1.000000x1.014354x1.014354x1.01x4.221%4.22%4.282%4.28%-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 Sheffield, selected other county subdivisions in the Cleveland Area, and entities that contain Sheffield
Female
Male
10x5x0xFM#E ClevelandElyriaAvonPainesvilleAvon LakeLorainBereaParma HeightsBroadview HtsAmherstNorth OlmstedFairview ParkMedina CityConcordBeachwoodSolonBrecksvilleOlmstedLorainShaker HtsRocky RiverEuclidStrongsvilleWestlakeBedfordClevelandOhioLakewoodWillowickWickliffeEast North CentralUniv HtsBay VillageMidwestBrunswickSheffieldTract 028100SheffieldMadisonMayfield HtsN RidgevilleUnited StatesSeven HillsLyndhurstParmaCleveland HtsGarfield HtsMentorSouth EuclidWadsworthClevelandMiddleburg HtsPainesvilleN RoyaltonWilloughbyEastlakeSheffield-Sheffield LkMaple 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-1.000000x2.086342x2.086342x2.09x1.331%1.33%2.776%2.78%-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-1.000000x1.673200x1.673200x1.67x2.601%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-1.000000x1.558781x1.558781x1.56x0.559%0.56%0.871%0.87%-1.000000x-1.000000x1.558781x1.558781x1.56x0.559%0.56%0.871%0.87%-1.000000x-1.000000x1.558781x1.558781x1.56x0.559%0.56%0.871%0.87%-1.000000x-1.000000x1.545720x1.545720x1.55x1.013%1.01%1.566%1.57%31-1.000000x-1.000000x1.543882x1.543882x1.54x3.447%3.45%5.322%5.32%32-1.000000x-1.000000x1.536235x1.536235x1.54x2.064%2.06%3.171%3.17%33-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.494601x1.494601x1.49x2.543%2.54%3.801%3.80%34-1.000000x-1.000000x1.478430x1.478430x1.48x4.524%4.52%6.689%6.69%35-1.000000x-1.000000x1.433883x1.433883x1.43x1.025%1.03%1.470%1.47%36-1.000000x-1.000000x1.416609x1.416609x1.42x9.009%9.01%12.763%12.8%37-1.000000x-1.000000x1.416359x1.416359x1.42x0.738%0.74%1.045%1.05%38-1.000000x-1.000000x1.325696x1.325696x1.33x1.576%1.58%2.089%2.09%39-1.000000x-1.000000x1.320615x1.320615x1.32x3.245%3.24%4.285%4.28%40-1.000000x-1.000000x1.298874x1.298874x1.30x2.790%2.79%3.624%3.62%41-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%42-1.000000x-1.000000x1.274974x1.274974x1.27x1.190%1.19%1.518%1.52%43-1.000000x-1.000000x1.144459x1.144459x1.14x0.470%0.47%0.538%0.54%44-1.000000x-1.000000x1.005152x1.005152x1.01x4.148%4.15%4.169%4.17%45-1.033709x-1.033709x1.03x1.000000x1.000000x2.193%2.19%2.121%2.12%46-1.349900x-1.349900x1.35x1.000000x1.000000x0.969%0.97%0.718%0.72%47-1.394878x-1.394878x1.39x1.000000x1.000000x1.386%1.39%0.994%0.99%-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 Sheffield to the 50 most populous county subdivisions in Ohio and to those entities that contain or substantially overlap with Sheffield. 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 Sheffield, selected other county subdivisions in Ohio, and entities that contain Sheffield
0%5%10%15%20%Count#ClevelandMiddletownLorainYoungstownSpringfieldDaytonMansfieldLimaMarion TownshipMarionCantonHamiltonWarrenToledoCincinnatiAkronElyriaUnited States of AmericaUnited StatesNewarkBath TownshipLancaster City TownshipLancaster CityColumbusColerain TownshipColerainLorain CountyLorainEast North CentralEuclidOhioCleveland and Elyria Metro AreaClevelandMidwestParmaFindlayFairfieldMiami TownshipMiamiUnion TownshipUnionHuber HeightsSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkJackson TownshipJacksonCleveland HeightsCleveland HtsCuyahoga FallsPlain TownshipPlainLakewoodKetteringGreen TownshipGrnBoardman TownshipBoardmanWest Chester TownshipW ChesterMiami TownshipMiamiMifflin TownshipMifflinMentorLiberty TownshipLibertySylvania TownshipSylvaniaSheffield028100Tract 028100SheffieldStrongsvilleViolet TownshipVioletJackson TownshipJacksonWashington TownshipWashingtonAnderson TownshipAndersonDeerfield TownshipDeerfieldBeavercreek TownshipBeavercreekDublin21.582420%21.582420%21.6%54,98155.0k118.211726%18.211726%18.2%5,591217.551080%17.551080%17.6%7,207316.999061%16.999061%17.0%7,424416.947843%16.947843%16.9%6,580516.928359%16.928359%16.9%14,88914.9k616.499446%16.499446%16.5%5,361716.278163%16.278163%16.3%3,757815.742056%15.742056%15.7%4,875915.631958%15.631958%15.6%7,3021015.293656%15.293656%15.3%6,2341115.055107%15.055107%15.1%4,0981214.332972%14.332972%14.3%26,34326.3k1313.761583%13.761583%13.8%26,28626.3k1413.591726%13.591726%13.6%17,95118.0k1513.343328%13.343328%13.3%4,8061613.020590%13.020590%13.0%27,818,38027.8M12.943290%12.943290%12.9%4,1061712.411362%12.411362%12.4%3,0631812.375999%12.375999%12.4%3,3311911.376979%11.376979%11.4%60,83160.8k2010.847918%10.847918%10.8%4,3142110.838036%10.838036%10.8%22,53022.5k10.719464%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%1,797286.910221%6.910221%6.9%6456.480864%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%1,462424.248913%4.248913%4.2%1274.248913%4.248913%4.2%1274.248913%4.248913%4.2%1274.066023%4.066023%4.1%1,313433.979966%3.979966%4.0%1,041443.830735%3.830735%3.8%1,118453.637690%3.637690%3.6%1,496463.351036%3.351036%3.4%978473.293195%3.293195%3.3%815483.105178%3.105178%3.1%1,170491.754602%1.754602%1.8%42850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Sheffield, selected other county subdivisions in Ohio, and entities that contain Sheffield
0%20%40%60%Count#DublinDeerfield TownshipDeerfieldAnderson TownshipAndersonWashington TownshipWashingtonBeavercreek TownshipBeavercreekCleveland HeightsCleveland HtsLiberty TownshipLibertyWest Chester TownshipW ChesterSylvania TownshipSylvaniaStrongsvilleMifflin TownshipMifflinViolet TownshipVioletLakewoodMiami TownshipMiamiJackson TownshipJacksonColumbusCincinnatiKetteringPlain TownshipPlainGreen TownshipGrnCuyahoga FallsMentorBoardman TownshipBoardmanUnited States of AmericaUnited StatesCleveland and Elyria Metro AreaClevelandUnion TownshipUnionJackson TownshipJacksonMidwestEast North CentralSheffield028100Tract 028100SheffieldFairfieldBath TownshipFindlayMiami TownshipMiamiOhioSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkLorain CountyLorainHuber HeightsColerain TownshipColerainEuclidAkronParmaNewarkToledoDaytonMiddletownLancaster City TownshipLancaster CityClevelandElyriaHamiltonSpringfieldCantonMansfieldWarrenYoungstownLorainLimaMarion TownshipMarion75.246997%75.246997%75.2%18,35518.4k157.851139%57.851139%57.9%14,31714.3k256.039061%56.039061%56.0%16,35516.4k352.483891%52.483891%52.5%21,58421.6k451.261976%51.261976%51.3%19,31519.3k550.973364%50.973364%51.0%15,50115.5k650.549209%50.549209%50.5%11,50511.5k747.424805%47.424805%47.4%19,78819.8k846.115414%46.115414%46.1%15,59915.6k944.614765%44.614765%44.6%14,40714.4k1043.925605%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%9,1092330.315023%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%8,931,6868.93M28.404149%28.404149%28.4%84928.404149%28.404149%28.4%84928.404149%28.404149%28.4%84928.219271%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%2,092,8752.09M23.526891%23.526891%23.5%2,19623.488664%23.488664%23.5%48,82848.8k22.834168%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 Sheffield, selected other county subdivisions in Ohio, and entities that contain Sheffield
0%2%4%6%8%10%Count#Cleveland HeightsCleveland HtsDublinAnderson TownshipAndersonSylvania TownshipSylvaniaWashington TownshipWashingtonBeavercreek TownshipBeavercreekJackson TownshipJacksonLakewoodCincinnatiStrongsvilleDeerfield TownshipDeerfieldWest Chester TownshipW ChesterKetteringLiberty TownshipLibertyCleveland and Elyria Metro AreaClevelandMifflin TownshipMifflinColumbusUnited States of AmericaUnited StatesPlain TownshipPlainBoardman TownshipBoardmanViolet TownshipVioletMiami TownshipMiamiMidwestEast North CentralOhioCuyahoga FallsGreen TownshipGrnBath TownshipAkronJackson TownshipJacksonLorain CountyLorainClevelandMentorColerain TownshipColerainMiami TownshipMiamiFindlayToledoSpringfieldFairfieldEuclidHuber HeightsLimaDaytonCantonHamiltonUnion TownshipUnionParmaSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkNewarkLancaster City TownshipLancaster CityMansfieldMiddletownLorainElyriaYoungstownWarrenMarion TownshipMarionSheffield028100Tract 028100Sheffield10.753042%10.753042%10.8%3,270110.031566%10.031566%10.0%2,44727.476443%7.476443%7.5%2,18237.470585%7.470585%7.5%2,52746.820669%6.820669%6.8%2,80556.685422%6.685422%6.7%2,51965.297242%5.297242%5.3%1,54675.051412%5.051412%5.1%1,85784.729595%4.729595%4.7%9,03494.555308%4.555308%4.6%1,471104.149830%4.149830%4.1%1,027114.100659%4.100659%4.1%1,711123.778338%3.778338%3.8%1,485133.514938%3.514938%3.5%800143.424359%3.424359%3.4%48,89348.9k3.389898%3.389898%3.4%853153.357865%3.357865%3.4%17,95418.0k163.336158%3.336158%3.3%7,127,6737.13M3.036372%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%619252.027141%2.027141%2.0%4,2141.927780%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%707411.199914%1.199914%1.2%1121.182108%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%223500.702576%0.702576%0.7%210.702576%0.702576%0.7%210.702576%0.702576%0.7%21
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 Sheffield, selected other county subdivisions in Ohio, and entities that contain Sheffield
Female
Male
1x0x1xFM#AndersonMansfieldCleveland HtsBeavercreekUnionToledoFindlayLorainLorainMarionYoungstownColerainGrnFairfieldElyriaMiddletownLancaster CityMidwestEast North CentralSpringfieldWarrenDaytonCantonUnited StatesOhioClevelandLimaParmaSheffield-Sheffield LkColumbusClevelandDeerfieldMentorNewarkW ChesterPlainLibertyJacksonHuber HeightsHamiltonSheffieldTract 028100SheffieldJacksonCincinnatiAkronMifflinSylvaniaMiamiEuclidMiamiCuyahoga FallsStrongsvilleLakewoodBath TownshipDublinKetteringWashingtonBoardmanViolet-1.000000x-1.000000x1.766803x1.766803x1.77x2.468%2.47%4.360%4.36%1-1.000000x-1.000000x1.592708x1.592708x1.59x12.530%12.5%19.956%20.0%2-1.000000x-1.000000x1.485471x1.485471x1.49x5.146%5.15%7.645%7.64%3-1.000000x-1.000000x1.332397x1.332397x1.33x2.666%2.67%3.552%3.55%4-1.000000x-1.000000x1.242595x1.242595x1.24x7.704%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-1.000000x1.216863x1.216863x1.22x9.813%9.81%11.941%11.9%-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-1.000000x1.064170x1.064170x1.06x6.706%6.71%7.136%7.14%-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-1.000000x1.014354x1.014354x1.01x4.221%4.22%4.282%4.28%-1.000000x-1.000000x1.014354x1.014354x1.01x4.221%4.22%4.282%4.28%-1.000000x-1.000000x1.014354x1.014354x1.01x4.221%4.22%4.282%4.28%-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 Sheffield, selected other county subdivisions in Ohio, and entities that contain Sheffield
Female
Male
1x0x1x2x3xFM#ElyriaSpringfieldWashingtonYoungstownBoardmanLorainMiddletownLancaster CityFindlayAndersonJacksonKetteringLorainMifflinPlainBeavercreekDeerfieldDaytonNewarkEuclidMiamiAkronDublinSylvaniaStrongsvilleBath TownshipClevelandOhioFairfieldMansfieldW ChesterHuber HeightsLakewoodEast North CentralMidwestSheffieldTract 028100SheffieldWarrenUnited StatesLibertyParmaCleveland HtsColumbusUnionMentorGrnJacksonClevelandCincinnatiMiamiMarionVioletColerainToledoHamiltonCantonCuyahoga FallsSheffield-Sheffield LkLima-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-1.000000x2.086342x2.086342x2.09x1.331%1.33%2.776%2.78%-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-1.000000x1.673200x1.673200x1.67x2.601%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-1.000000x1.558781x1.558781x1.56x0.559%0.56%0.871%0.87%-1.000000x-1.000000x1.558781x1.558781x1.56x0.559%0.56%0.871%0.87%-1.000000x-1.000000x1.558781x1.558781x1.56x0.559%0.56%0.871%0.87%-1.000000x-1.000000x1.543502x1.543502x1.54x0.592%0.59%0.914%0.91%31-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.525512x1.525512x1.53x2.801%2.80%4.272%4.27%32-1.000000x-1.000000x1.433883x1.433883x1.43x1.025%1.03%1.470%1.47%33-1.000000x-1.000000x1.416609x1.416609x1.42x9.009%9.01%12.763%12.8%34-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%35-1.000000x-1.000000x1.348352x1.348352x1.35x1.062%1.06%1.431%1.43%36-1.000000x-1.000000x1.325696x1.325696x1.33x1.576%1.58%2.089%2.09%37-1.000000x-1.000000x1.319751x1.319751x1.32x2.156%2.16%2.845%2.85%38-1.000000x-1.000000x1.297270x1.297270x1.30x1.812%1.81%2.351%2.35%39-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%40-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%41-1.000000x-1.000000x1.246667x1.246667x1.25x1.577%1.58%1.966%1.97%42-1.000000x-1.000000x1.217109x1.217109x1.22x0.642%0.64%0.782%0.78%43-1.000000x-1.000000x1.149458x1.149458x1.15x2.746%2.75%3.157%3.16%44-1.000000x-1.000000x1.145376x1.145376x1.15x1.701%1.70%1.948%1.95%45-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%46-1.000000x-1.000000x1.036455x1.036455x1.04x1.220%1.22%1.265%1.26%47-1.103703x-1.103703x1.10x1.000000x1.000000x1.302%1.30%1.180%1.18%48-1.188945x-1.188945x1.19x1.000000x1.000000x2.687%2.69%2.260%2.26%49-1.394878x-1.394878x1.39x1.000000x1.000000x1.386%1.39%0.994%0.99%-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 Sheffield to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Sheffield. 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 Sheffield, selected other county subdivisions in the Midwest, and entities that contain Sheffield
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisLorain CountyLorainSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthOhioCleveland and Elyria Metro AreaClevelandMidwestLawrence TownshipLawrenceSioux FallsCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonSheffield028100Tract 028100SheffieldDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.838036%10.838036%10.8%22,53022.5k10.767091%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%11,88611.9k396.910221%6.910221%6.9%6456.804680%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%7,351464.248913%4.248913%4.2%1274.248913%4.248913%4.2%1274.248913%4.248913%4.2%1274.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Sheffield, selected other county subdivisions in the Midwest, and entities that contain Sheffield
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsCleveland and Elyria Metro AreaClevelandMidwestWichitaEast North CentralSheffield028100Tract 028100SheffieldSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldOhioProviso TownshipProvisoWorth TownshipWorthSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkMilwaukeeLorain CountyLorainRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2929.705211%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%8,931,6868.93M28.404149%28.404149%28.4%84928.404149%28.404149%28.4%84928.404149%28.404149%28.4%84927.532180%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%26,38926.4k3523.526891%23.526891%23.5%2,19623.517740%23.517740%23.5%85,81285.8k3623.488664%23.488664%23.5%48,82848.8k21.592552%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 Sheffield, selected other county subdivisions in the Midwest, and entities that contain Sheffield
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineCleveland and Elyria Metro AreaClevelandWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheOhioCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeLorain CountyLorainWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonSheffield028100Tract 028100Sheffield17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.424359%3.424359%3.4%48,89348.9k3.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%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%7,455372.027141%2.027141%2.0%4,2141.958049%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%1,106451.199914%1.199914%1.2%1121.183365%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%971500.702576%0.702576%0.7%210.702576%0.702576%0.7%210.702576%0.702576%0.7%21
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 Sheffield, selected other county subdivisions in the Midwest, and entities that contain Sheffield
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoLorainThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheOhioWorthNOverland ParkClevelandAuroraWheelingGrand RapidsSchaumburgChicagoSheffield-Sheffield LkWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisSheffieldTract 028100SheffieldWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-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-1.000000x1.216863x1.216863x1.22x9.813%9.81%11.941%11.9%-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-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.064170x1.064170x1.06x6.706%6.71%7.136%7.14%-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-1.000000x1.014354x1.014354x1.01x4.221%4.22%4.282%4.28%-1.000000x-1.000000x1.014354x1.014354x1.01x4.221%4.22%4.282%4.28%-1.000000x-1.000000x1.014354x1.014354x1.01x4.221%4.22%4.282%4.28%-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 Sheffield, selected other county subdivisions in the Midwest, and entities that contain Sheffield
Female
Male
1x0x1x2xFM#RockfordNLorainDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheClevelandOhioOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CitySheffieldTract 028100SheffieldAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoSheffield-Sheffield LkThornton-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-1.000000x2.086342x2.086342x2.09x1.331%1.33%2.776%2.78%-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.673200x1.673200x1.67x2.601%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-1.000000x1.558781x1.558781x1.56x0.559%0.56%0.871%0.87%-1.000000x-1.000000x1.558781x1.558781x1.56x0.559%0.56%0.871%0.87%-1.000000x-1.000000x1.558781x1.558781x1.56x0.559%0.56%0.871%0.87%-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.394878x-1.394878x1.39x1.000000x1.000000x1.386%1.39%0.994%0.99%-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 Sheffield to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Sheffield. 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 Sheffield, selected other county subdivisions in the United States, and entities that contain Sheffield
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, CharlotteColumbusTulsaLorain CountyLorainEast North CentralOhioCleveland and Elyria Metro AreaClevelandSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaSeattleNortheast TarrantNE TarrantSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkPlanoSeattle EastSheffield028100Tract 028100Sheffield28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.838036%10.838036%10.8%22,53022.5k10.719464%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%31,44331.4k486.910221%6.910221%6.9%6455.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k504.248913%4.248913%4.2%1274.248913%4.248913%4.2%1274.248913%4.248913%4.2%127
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 Sheffield, selected other county subdivisions in the United States, and entities that contain Sheffield
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreCleveland and Elyria Metro AreaClevelandLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…Sheffield028100Tract 028100SheffieldSacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioOhioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkMilwaukeeLorain CountyLorainFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.705211%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%312,038312k3528.404149%28.404149%28.4%84928.404149%28.404149%28.4%84928.404149%28.404149%28.4%84928.231204%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%140,625141k4223.526891%23.526891%23.5%2,19623.517740%23.517740%23.5%85,81285.8k4323.488664%23.488664%23.5%48,82848.8k22.486319%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 Sheffield, selected other county subdivisions in the United States, and entities that contain Sheffield
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…Cleveland and Elyria Metro AreaClevelandBrooklynSacramentoColumbusUnited States of AmericaUnited 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 VegasMilwaukeeLorain CountyLorainSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkSheffield028100Tract 028100Sheffield12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.424359%3.424359%3.4%48,89348.9k3.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%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%7,455442.027141%2.027141%2.0%4,2141.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693501.199914%1.199914%1.2%1120.702576%0.702576%0.7%210.702576%0.702576%0.7%210.702576%0.702576%0.7%21
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 Sheffield, selected other county subdivisions in the United States, and entities that contain Sheffield
Female
Male
1x0x1xFM#1, CharlotteDetroitLorainBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeUnited StatesOhioNE DallasHoustonClevelandHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSheffield-Sheffield LkSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSheffieldTract 028100SheffieldSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.216863x1.216863x1.22x9.813%9.81%11.941%11.9%-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-1.000000x1.068021x1.068021x1.07x16.372%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-1.000000x1.064170x1.064170x1.06x6.706%6.71%7.136%7.14%-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-1.000000x1.014354x1.014354x1.01x4.221%4.22%4.282%4.28%-1.000000x-1.000000x1.014354x1.014354x1.01x4.221%4.22%4.282%4.28%-1.000000x-1.000000x1.014354x1.014354x1.01x4.221%4.22%4.282%4.28%-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 Sheffield, selected other county subdivisions in the United States, and entities that contain Sheffield
Female
Male
1x0x1x2xFM#El PasoLorainSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthClevelandOhioOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasSheffieldTract 028100SheffieldSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitSheffield-Sheffield Lk-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.086342x2.086342x2.09x1.331%1.33%2.776%2.78%-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-1.000000x1.673200x1.673200x1.67x2.601%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-1.000000x1.558781x1.558781x1.56x0.559%0.56%0.871%0.87%-1.000000x-1.000000x1.558781x1.558781x1.56x0.559%0.56%0.871%0.87%-1.000000x-1.000000x1.558781x1.558781x1.56x0.559%0.56%0.871%0.87%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50-1.394878x-1.394878x1.39x1.000000x1.000000x1.386%1.39%0.994%0.99%
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:
Lorain
Metro Area:
Cleveland Area
Village:
Sheffield
ZIP Codes:
44035, 44054
Unified School District:
Sheffield-Sheffield Lake
Congressional District:
OH-4
State Senate District:
OH-13
State House District:
OH-55
Neighboring Townships:
Sheffield
Nearby Townships:
Amherst, Carlisle, Eaton, Elyria, New Russia, Olmsted