Educational Attainment in Sheffield Lake, Lorain County, Ohio (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Lorain County and Sheffield Lake
Sheffield Lake
Lorain County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma235.064730%33.165928%35.064730%35.1%2,22156.757183%55.996036%56.757183%56.8%3,5958.178087%10.838036%8.178087%8.2%518
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 Lake
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma25.725158%5.725158%+5.7%35.065%35.1%33.166%33.2%1.359288%1.359288%+1.4%56.757%56.8%55.996%56.0%-24.542723%-24.542723%-24.5%8.178%8.18%10.838%10.8%
% percentage with given level in Sheffield Lake
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 Lake
Sheffield Lake
Lorain County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.726239%0.804314%0.726239%0.7%460.710452%1.222827%0.710452%0.7%453.536470%6.865532%3.536470%3.5%22416.293022%14.595991%16.293022%16.3%1,03213.798548%9.677264%13.798548%13.8%87424.439533%23.801346%24.439533%24.4%1,54832.317651%32.194690%32.317651%32.3%2,0475.162614%8.166289%5.162614%5.2%3272.305021%1.769780%2.305021%2.3%1460.710452%0.901967%0.710452%0.7%45
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 Lake
0%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-9.706993%-9.706993%-9.7%0.726%0.73%0.804%0.80%-41.900884%-41.900884%-41.9%0.710%0.71%1.223%1.22%-48.489503%-48.489503%-48.5%3.536%3.54%6.866%6.87%11.626692%11.626692%+11.6%16.293%16.3%14.596%14.6%42.587277%42.587277%+42.6%13.799%13.8%9.677%9.68%2.681305%2.681305%+2.7%24.440%24.4%23.801%23.8%0.381928%0.381928%+0.4%32.318%32.3%32.195%32.2%-36.781390%-36.781390%-36.8%5.163%5.16%8.166%8.17%30.243371%30.243371%+30.2%2.305%2.31%1.770%1.77%-21.233091%-21.233091%-21.2%0.710%0.71%0.902%0.90%
% percentage with given level in Sheffield Lake
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 Lake
More Females More Males
Lorain County
Sheffield Lake
20%10%0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-25.688793%-8.926289%-25.688793%26%38.877%38.9%30.931%30.9%13.928513%1.260656%13.928513%14%53.202%53.2%60.612%60.6%6.762156%21.686286%6.762156%7%7.921%7.92%8.457%8.46%
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 Lake
More Females More Males
Lorain County
Sheffield Lake
200%0%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-110.812920%-110.812920%111%105.646391%0.971%0.97%0.461%0.46%-38.345979%-38.345979%38%110.630663%0.819%0.82%0.592%0.59%-83.231563%-22.774750%-83.231563%83%4.522%4.52%2.468%2.47%5.521465%3.036792%5.521465%6%15.873%15.9%16.749%16.7%-56.564379%-41.621403%-56.564379%57%16.692%16.7%10.661%10.7%-4.448762%37.675999%37.675999%38%20.698%20.7%28.496%28.5%-1.208021%-1.208021%1%5.538228%32.504%32.5%32.116%32.1%68.565163%22.460891%68.565163%69%3.885%3.88%6.548%6.55%-346.396358%-346.396358%346%25.012263%3.672%3.67%0.823%0.82%198.165515%9.006641%198.165515%198%0.364%0.36%1.086%1.09%
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 Lake
Sheffield Lake
Lorain County
0%5%10%15%B.X.Total65+45-6435-4425-349.409888%9.842051%9.409888%9.4%1181,25417.480824%14.974438%17.480824%17.5%4332,47719.706137%18.480288%19.706137%19.7%2281,15717.496542%16.240827%17.496542%17.5%2531,446
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 Lake
0%5%10%15%%ref.65+45-6435-4425-34-4.390983%-4.390983%4.4%9.410%9.41%9.842%9.84%16.737760%16.737760%16.7%17.481%17.5%14.974%15.0%6.633277%6.633277%6.6%19.706%19.7%18.480%18.5%7.731844%7.731844%7.7%17.497%17.5%16.241%16.2%
% percentage in Sheffield Lake 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 Lake
More Females More Males
Lorain County
Sheffield Lake
50%0%50%100%FM65+45-6435-4425-34128.701406%33.252848%128.701406%128.7%5.865%5.86%13.413%13.4%46.242324%11.427098%46.242324%46.2%14.340%14.3%20.972%21.0%-30.950968%-23.430317%-30.950968%31.0%22.649%22.6%17.296%17.3%-92.612053%-20.210090%-92.612053%92.6%22.236%22.2%11.544%11.5%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Lorain County and Sheffield Lake
Sheffield Lake
Lorain County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$52,717.000000$69,217.000000$52,717.000000$52.7k3154.973%4.97%$40,600.000000$51,288.000000$40,600.000000$40.6k1,03216.293%16.3%$36,227.000000$33,212.000000$36,227.000000$36.2k2,42238.238%38.2%$30,750.000000$28,857.000000$30,750.000000$30.8k2,04732.318%32.3%$29,715.000000$21,853.000000$29,715.000000$29.7k5188.178%8.18%$33,942.000000$35,951.000000$33,942.000000$33.9k6,334100.000%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 Lake
Female Male
Lorain County
Sheffield Lake
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-51,771.000000$-60,740.000000$-51,771.000000$51.8k$51,771.000000$4,375.000000$60,740.000000$20,311.000000$56,146.000000$56.1k208107$-36,117.000000$-40,660.000000$-36,117.000000$36.1k$36,117.000000$11,307.000000$40,660.000000$25,423.000000$47,424.000000$47.4k523509$-30,261.000000$-27,138.000000$-30,261.000000$30.3k$30,261.000000$12,209.000000$27,138.000000$16,016.000000$42,470.000000$42.5k1,2321,190$-26,222.000000$-21,174.000000$-26,222.000000$26.2k$26,222.000000$13,570.000000$21,174.000000$15,665.000000$39,792.000000$39.8k1,071976$-29,298.000000$-13,233.000000$-16,498.000000$-42,531.000000$42.5k$29,298.000000$16,498.000000$9,820.000000$29,298.000000$29.3k261257$-30,345.000000$-28,540.000000$-30,345.000000$30.3k$30,345.000000$10,858.000000$28,540.000000$15,902.000000$41,203.000000$41.2k3,2953,039
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

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Lorain County and Sheffield Lake
Sheffield Lake
Lorain County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%33.962264%0100.000000%66.037736%100.000000%100.0%130.000000%0.000000%0.000000%0.0%00.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

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 Lake
Sheffield Lake
Lorain County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma374.130619%82.960134%74.130619%74.1%87482.854495%73.415779%82.854495%82.9%1,78872.783505%67.221217%72.783505%72.8%1,05953.125000%45.280731%53.125000%53.1%153
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#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Lorain County and Sheffield Lake
Female Male
Lorain County
Sheffield Lake
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1BlackHispanic2Other1-7.150675%-1.374359%-8.371806%-8.525034%8.5%7.150675%8.371806%1.353826%7.150675%7.2%196252-0.000000%-15.491378%0.000000%0.0%0.000000%0.000000%15.491378%5.171390%0.000000%0.0%00-3.846154%-20.313768%-3.846154%3.8%3.846154%19.889255%20.313768%7.295660%23.735409%23.7%619-0.000000%-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#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Lorain County and Sheffield Lake
Female Male
Lorain County
Sheffield Lake
Shaded bar tips show excess over facing bar.
20%10%0%10%20%30%MFWhite1BlackHispanic2Other1-21.269610%-1.125519%-24.356248%-22.395129%22.4%21.269610%24.356248%1.777326%21.269610%21.3%583662-0.000000%-11.428571%-10.233918%-4.584531%-11.428571%11.4%0.000000%10.233918%0.000000%0.0%04-12.840467%-8.954405%-8.922559%-6.021991%-21.794872%21.8%12.840467%8.922559%12.840467%12.8%3351-0.000000%-13.365443%-1.572446%0.000000%0.0%0.000000%30.232558%13.365443%30.232558%30.2%130
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in Sheffield Lake

Coarse: Post-Secondary Degree Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
30.4%33.0%35.7%38.3%41.0%43.7%

Coarse: High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
52.3%53.7%55.1%56.4%57.8%59.2%

Coarse: No High School Diploma Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
4.0%5.3%6.6%7.9%9.2%10.5%

Detailed: Doctorate Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.40%0.50%0.60%0.70%0.80%0.91%

Detailed: Professional Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.7076%0.7092%0.7108%0.7124%0.7140%0.7156%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.2%3.0%3.7%4.5%5.2%6.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
15.42%15.92%16.41%16.90%17.40%17.89%

Detailed: Associate's Degree Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
11.1%12.7%14.2%15.7%17.1%18.7%

Detailed: Some College Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
21.6%22.5%23.4%24.2%25.1%26.0%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
30.72%31.22%31.71%32.20%32.69%33.19%

Detailed: Some High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
2.7%3.5%4.2%5.0%5.7%6.5%

Detailed: Less than High School Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
1.29%1.61%1.92%2.23%2.54%2.86%

Detailed: None Educational Attainment by Tract#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.22%0.44%0.66%0.88%1.10%
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Educational Attainment by County Subdivision in the Cleveland Area

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

No H.S. Diploma by County Subdivision#29

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Sheffield Lake, selected other county subdivisions in the Cleveland Area, and entities that contain Sheffield Lake
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 HeightsBrunswickSheffield LakeSheffield LkSheffield LakeSheffield LkMadison TownshipMadisonWickliffeWillowickBedfordBereaMiddleburg HeightsMiddleburg HtsNorth RidgevilleN RidgevilleZIP Code 44054ZIP 44054North OlmstedSouth EuclidNorth RoyaltonN RoyaltonSeven HillsSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkWilloughbyMayfield HeightsMayfield HtsCleveland HeightsCleveland HtsLakewoodMedina City TownshipMedina CityWadsworthMentorOlmsted TownshipOlmstedLyndhurstFairview ParkBeachwoodAvonRocky RiverStrongsvilleConcord TownshipConcordShaker HeightsShaker HtsBroadview HeightsBroadview HtsAvon LakeUniversity HeightsUniv HtsWestlakeSolonBrecksvilleBay Village21.582420%21.582420%21.6%54,98155.0k120.849744%20.849744%20.8%2,488217.914527%17.914527%17.9%2,163317.551080%17.551080%17.6%7,207414.510698%14.510698%14.5%2,801513.343328%13.343328%13.3%4,806613.020590%13.020590%13.0%27,818,38027.8M12.963234%12.963234%13.0%1,770711.034573%11.034573%11.0%1,682810.838036%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%1,998168.178087%8.178087%8.2%5188.178087%8.178087%8.2%5188.108320%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%1,758237.457818%7.457818%7.5%6637.388745%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%631404.066023%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#30

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Sheffield Lake, selected other county subdivisions in the Cleveland Area, and entities that contain Sheffield Lake
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 CentralOhioWickliffeSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkLorain CountyLorainAmherstBrunswickParma HeightsWillowickPainesville TownshipPainesvilleZIP Code 44054ZIP 44054Sheffield LakeSheffield LkSheffield LakeSheffield LkEuclidParmaBedfordMadison 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%8,931,6868.93M26.667466%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%3,0403621.439820%21.439820%21.4%1,90621.266183%21.266183%21.3%1,34721.266183%21.266183%21.3%1,34720.614221%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#31

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 Lake, selected other county subdivisions in the Cleveland Area, and entities that contain Sheffield Lake
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 TownshipOlmstedSheffield LakeSheffield LkSheffield LakeSheffield LkEuclidMiddleburg HeightsMiddleburg HtsPainesville TownshipPainesvilleMadison TownshipMadisonZIP Code 44054ZIP 44054ParmaSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkBrunswickLorainElyriaEast ClevelandE ClevelandGarfield HeightsGarfield HtsEastlakeMaple HeightsWarrensville HeightsWarrensville HtsBrook ParkBedfordPainesville20.048500%20.048500%20.0%3,803116.331828%16.331828%16.3%1,447212.584140%12.584140%12.6%1,963312.101581%12.101581%12.1%934410.753042%10.753042%10.8%3,27058.616611%8.616611%8.6%1,27568.583018%8.583018%8.6%93178.354769%8.354769%8.4%81287.950840%7.950840%8.0%1,90295.512108%5.512108%5.5%585105.115377%5.115377%5.1%818115.051412%5.051412%5.1%1,857124.964754%4.964754%5.0%655134.555308%4.555308%4.6%1,471144.364989%4.364989%4.4%575154.268551%4.268551%4.3%604164.157744%4.157744%4.2%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%150341.436691%1.436691%1.4%911.436691%1.436691%1.4%911.388805%1.388805%1.4%459351.345479%1.345479%1.3%161361.298701%1.298701%1.3%182371.287284%1.287284%1.3%164381.259843%1.259843%1.3%1121.236490%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%113460.670683%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#32

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 Lake, selected other county subdivisions in the Cleveland Area, and entities that contain Sheffield Lake
Female
Male
1x0x1x2xFM#BedfordUniv HtsOlmstedWarrensville HtsEastlakeCleveland HtsMaple HeightsSouth EuclidWestlakeWillowickLyndhurstLorainE ClevelandLorainWilloughbyShaker HtsNorth OlmstedWickliffeElyriaParma HeightsMidwestEast North CentralN RidgevilleBrook ParkUnited StatesOhioConcordClevelandParmaPainesvilleZIP 44054Sheffield LkSheffield LkSheffield-Sheffield LkClevelandMentorMiddleburg HtsBay VillageGarfield HtsPainesvilleAmherstSeven HillsMayfield HtsMadisonBereaEuclidSolonBrunswickFairview ParkBrecksvilleWadsworthRocky RiverN RoyaltonStrongsvilleLakewoodAvonMedina CityBeachwoodAvon LakeBroadview Hts-1.000000x-1.000000x2.068280x2.068280x2.07x5.439%5.44%11.249%11.2%1-1.000000x-1.000000x1.710483x1.710483x1.71x2.772%2.77%4.742%4.74%2-1.000000x-1.000000x1.651003x1.651003x1.65x4.015%4.01%6.628%6.63%3-1.000000x-1.000000x1.608701x1.608701x1.61x8.718%8.72%14.025%14.0%4-1.000000x-1.000000x1.571619x1.571619x1.57x8.111%8.11%12.747%12.7%5-1.000000x-1.000000x1.485471x1.485471x1.49x5.146%5.15%7.645%7.64%6-1.000000x-1.000000x1.465862x1.465862x1.47x9.237%9.24%13.541%13.5%7-1.000000x-1.000000x1.391112x1.391112x1.39x6.126%6.13%8.522%8.52%8-1.000000x-1.000000x1.381991x1.381991x1.38x3.030%3.03%4.188%4.19%9-1.000000x-1.000000x1.277044x1.277044x1.28x7.111%7.11%9.082%9.08%10-1.000000x-1.000000x1.245772x1.245772x1.25x4.143%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-1.000000x1.073598x1.073598x1.07x7.206%7.21%7.736%7.74%-1.000000x-1.000000x1.067622x1.067622x1.07x7.921%7.92%8.457%8.46%-1.000000x-1.000000x1.067622x1.067622x1.07x7.921%7.92%8.457%8.46%-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-1.000000x1.013151x1.013151x1.01x14.429%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#33

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 Lake, selected other county subdivisions in the Cleveland Area, and entities that contain Sheffield Lake
Female
Male
10x5x0xFM#E ClevelandElyriaAvonPainesvilleAvon LakeLorainBereaParma HeightsBroadview HtsAmherstNorth OlmstedFairview ParkMedina CityConcordBeachwoodSolonBrecksvilleOlmstedLorainShaker HtsRocky RiverEuclidStrongsvilleWestlakeBedfordClevelandOhioLakewoodWillowickWickliffeEast North CentralUniv HtsBay VillageMidwestBrunswickMadisonMayfield HtsN RidgevilleUnited StatesSeven HillsLyndhurstParmaCleveland HtsGarfield HtsMentorSouth EuclidWadsworthClevelandMiddleburg HtsPainesvilleN RoyaltonWilloughbyEastlakeSheffield-Sheffield LkZIP 44054Sheffield LkSheffield 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-1.000000x1.545720x1.545720x1.55x1.013%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%-1.400951x-1.400951x1.40x1.000000x1.000000x1.458%1.46%1.041%1.04%-1.700503x-1.700503x1.70x1.000000x1.000000x1.791%1.79%1.053%1.05%-1.700503x-1.700503x1.70x1.000000x1.000000x1.791%1.79%1.053%1.05%-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 Lake to the 50 most populous county subdivisions in Ohio and to those entities that contain or substantially overlap with Sheffield Lake. The least populous of the compared county subdivisions has a population of 36,945.

No H.S. Diploma by County Subdivision#34

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Sheffield Lake, selected other county subdivisions in Ohio, and entities that contain Sheffield Lake
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 TownshipUnionSheffield LakeSheffield LkSheffield LakeSheffield LkZIP Code 44054ZIP 44054Huber HeightsSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkJackson TownshipJacksonCleveland HeightsCleveland HtsCuyahoga FallsPlain TownshipPlainLakewoodKetteringGreen TownshipGrnBoardman TownshipBoardmanWest Chester TownshipW ChesterMiami TownshipMiamiMifflin TownshipMifflinMentorLiberty TownshipLibertySylvania TownshipSylvaniaStrongsvilleViolet TownshipVioletJackson TownshipJacksonWashington TownshipWashingtonAnderson TownshipAndersonDeerfield TownshipDeerfieldBeavercreek TownshipBeavercreekDublin21.582420%21.582420%21.6%54,98155.0k118.211726%18.211726%18.2%5,591217.551080%17.551080%17.6%7,207316.999061%16.999061%17.0%7,424416.947843%16.947843%16.9%6,580516.928359%16.928359%16.9%14,88914.9k616.499446%16.499446%16.5%5,361716.278163%16.278163%16.3%3,757815.742056%15.742056%15.7%4,875915.631958%15.631958%15.6%7,3021015.293656%15.293656%15.3%6,2341115.055107%15.055107%15.1%4,0981214.332972%14.332972%14.3%26,34326.3k1313.761583%13.761583%13.8%26,28626.3k1413.591726%13.591726%13.6%17,95118.0k1513.343328%13.343328%13.3%4,8061613.020590%13.020590%13.0%27,818,38027.8M12.943290%12.943290%12.9%4,1061712.411362%12.411362%12.4%3,0631812.375999%12.375999%12.4%3,3311911.376979%11.376979%11.4%60,83160.8k2010.847918%10.847918%10.8%4,3142110.838036%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%2,777278.178087%8.178087%8.2%5188.178087%8.178087%8.2%5187.457818%7.457818%7.5%6637.261193%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%1,462424.066023%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#35

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Sheffield Lake, selected other county subdivisions in Ohio, and entities that contain Sheffield Lake
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 CentralFairfieldBath TownshipFindlayMiami TownshipMiamiOhioSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkLorain CountyLorainHuber HeightsColerain TownshipColerainZIP Code 44054ZIP 44054Sheffield LakeSheffield LkSheffield LakeSheffield LkEuclidAkronParmaNewarkToledoDaytonMiddletownLancaster 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%8,931,6868.93M28.219271%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%8,6163121.439820%21.439820%21.4%1,90621.266183%21.266183%21.3%1,34721.266183%21.266183%21.3%1,34720.614221%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#36

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 Lake, selected other county subdivisions in Ohio, and entities that contain Sheffield Lake
0%5%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 TownshipMiamiFindlayToledoSpringfieldFairfieldSheffield LakeSheffield LkSheffield LakeSheffield LkEuclidHuber HeightsLimaZIP Code 44054ZIP 44054DaytonCantonHamiltonUnion TownshipUnionParmaSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkNewarkLancaster City TownshipLancaster CityMansfieldMiddletownLorainElyriaYoungstownWarrenMarion TownshipMarion10.753042%10.753042%10.8%3,270110.031566%10.031566%10.0%2,44727.476443%7.476443%7.5%2,18237.470585%7.470585%7.5%2,52746.820669%6.820669%6.8%2,80556.685422%6.685422%6.7%2,51965.297242%5.297242%5.3%1,54675.051412%5.051412%5.1%1,85784.729595%4.729595%4.7%9,03494.555308%4.555308%4.6%1,471104.149830%4.149830%4.1%1,027114.100659%4.100659%4.1%1,711123.778338%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%434331.436691%1.436691%1.4%911.436691%1.436691%1.4%911.388805%1.388805%1.4%459341.349604%1.349604%1.3%334351.304159%1.304159%1.3%301361.259843%1.259843%1.3%1121.257490%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%22350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#37

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 Lake, selected other county subdivisions in Ohio, and entities that contain Sheffield Lake
Female
Male
1x0x1xFM#AndersonMansfieldCleveland HtsBeavercreekUnionToledoFindlayLorainLorainMarionYoungstownColerainGrnFairfieldElyriaMiddletownLancaster CityMidwestEast North CentralSpringfieldWarrenDaytonCantonUnited StatesOhioClevelandLimaParmaZIP 44054Sheffield LkSheffield LkSheffield-Sheffield LkColumbusClevelandDeerfieldMentorNewarkW ChesterPlainLibertyJacksonHuber HeightsHamiltonJacksonCincinnatiAkronMifflinSylvaniaMiamiEuclidMiamiCuyahoga FallsStrongsvilleLakewoodBath TownshipDublinKetteringWashingtonBoardmanViolet-1.000000x-1.000000x1.766803x1.766803x1.77x2.468%2.47%4.360%4.36%1-1.000000x-1.000000x1.592708x1.592708x1.59x12.530%12.5%19.956%20.0%2-1.000000x-1.000000x1.485471x1.485471x1.49x5.146%5.15%7.645%7.64%3-1.000000x-1.000000x1.332397x1.332397x1.33x2.666%2.67%3.552%3.55%4-1.000000x-1.000000x1.242595x1.242595x1.24x7.704%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-1.000000x1.073598x1.073598x1.07x7.206%7.21%7.736%7.74%-1.000000x-1.000000x1.067622x1.067622x1.07x7.921%7.92%8.457%8.46%-1.000000x-1.000000x1.067622x1.067622x1.07x7.921%7.92%8.457%8.46%-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-1.000000x1.006889x1.006889x1.01x3.818%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#38

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 Lake, selected other county subdivisions in Ohio, and entities that contain Sheffield Lake
Female
Male
1x0x1x2x3xFM#ElyriaSpringfieldWashingtonYoungstownBoardmanLorainMiddletownLancaster CityFindlayAndersonJacksonKetteringLorainMifflinPlainBeavercreekDeerfieldDaytonNewarkEuclidMiamiAkronDublinSylvaniaStrongsvilleBath TownshipClevelandOhioFairfieldMansfieldW ChesterHuber HeightsLakewoodEast North CentralMidwestWarrenUnited StatesLibertyParmaCleveland HtsColumbusUnionMentorGrnJacksonClevelandCincinnatiMiamiMarionVioletColerainToledoHamiltonCantonCuyahoga FallsSheffield-Sheffield LkZIP 44054LimaSheffield LkSheffield Lk-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-1.000000x1.543502x1.543502x1.54x0.592%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%-1.400951x-1.400951x1.40x1.000000x1.000000x1.458%1.46%1.041%1.04%-1.404867x-1.404867x1.40x1.000000x1.000000x1.525%1.53%1.086%1.09%50-1.700503x-1.700503x1.70x1.000000x1.000000x1.791%1.79%1.053%1.05%-1.700503x-1.700503x1.70x1.000000x1.000000x1.791%1.79%1.053%1.05%
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 Lake to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Sheffield Lake. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#39

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Sheffield Lake, selected other county subdivisions in the Midwest, and entities that contain Sheffield Lake
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 TownshipPalatineSheffield LakeSheffield LkSheffield LakeSheffield LkSchaumburg TownshipSchaumburgZIP Code 44054ZIP 44054LincolnSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.838036%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%6,695378.178087%8.178087%8.2%5188.178087%8.178087%8.2%5187.739434%7.739434%7.7%7,226387.457818%7.457818%7.5%6637.092309%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%7,351464.020265%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#40

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Sheffield Lake, selected other county subdivisions in the Midwest, and entities that contain Sheffield Lake
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 CentralSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldOhioProviso TownshipProvisoWorth TownshipWorthSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkMilwaukeeLorain CountyLorainRockford TownshipRockfordZIP Code 44054ZIP 44054Sheffield LakeSheffield LkSheffield LakeSheffield LkAkronCenter 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%8,931,6868.93M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.667466%26.667466%26.7%2,092,8752.09M26.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.526891%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%25,23525.2k3721.439820%21.439820%21.4%1,90621.266183%21.266183%21.3%1,34721.266183%21.266183%21.3%1,34720.213821%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#41

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 Lake, selected other county subdivisions in the Midwest, and entities that contain Sheffield Lake
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 HtsSheffield LakeSheffield LkSheffield LakeSheffield LkKansas CityDetroitZIP Code 44054ZIP 44054DaytonSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%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%1,339421.436691%1.436691%1.4%911.436691%1.436691%1.4%911.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.259843%1.259843%1.3%1121.257490%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%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#42

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 Lake, selected other county subdivisions in the Midwest, and entities that contain Sheffield Lake
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoLorainThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheOhioWorthNOverland ParkClevelandAuroraWheelingGrand RapidsSchaumburgZIP 44054ChicagoSheffield LkSheffield LkSheffield-Sheffield LkWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn 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-1.000000x1.073598x1.073598x1.07x7.206%7.21%7.736%7.74%-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.067622x1.067622x1.07x7.921%7.92%8.457%8.46%-1.000000x-1.000000x1.067622x1.067622x1.07x7.921%7.92%8.457%8.46%-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-1.000000x1.013146x1.013146x1.01x6.764%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#43

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 Lake, selected other county subdivisions in the Midwest, and entities that contain Sheffield Lake
Female
Male
1x0x1x2xFM#RockfordNLorainDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheClevelandOhioOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoSheffield-Sheffield LkZIP 44054Sheffield LkSheffield 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-1.000000x1.550495x1.550495x1.55x0.737%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%-1.400951x-1.400951x1.40x1.000000x1.000000x1.458%1.46%1.041%1.04%-1.700503x-1.700503x1.70x1.000000x1.000000x1.791%1.79%1.053%1.05%-1.700503x-1.700503x1.70x1.000000x1.000000x1.791%1.79%1.053%1.05%-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 Lake to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Sheffield Lake. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#44

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Sheffield Lake, selected other county subdivisions in the United States, and entities that contain Sheffield Lake
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 LakeSheffield LkSheffield LakeSheffield LkZIP Code 44054ZIP 44054Sheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.838036%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%31,44331.4k488.178087%8.178087%8.2%5188.178087%8.178087%8.2%5187.457818%7.457818%7.5%6636.910221%6.910221%6.9%6455.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#45

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Sheffield Lake, selected other county subdivisions in the United States, and entities that contain Sheffield Lake
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…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioOhioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasSheffield-Sheffield Lake City School DistrictSheffield-Sheffield LkMilwaukeeLorain CountyLorainFresnoLas VegasZIP Code 44054ZIP 44054Sheffield LakeSheffield LkSheffield LakeSheffield LkEl 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%312,038312k3528.231204%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%271,037271k4521.439820%21.439820%21.4%1,90621.266183%21.266183%21.3%1,34721.266183%21.266183%21.3%1,34721.071885%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#46

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 Lake, selected other county subdivisions in the United States, and entities that contain Sheffield Lake
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 DallasBronxSheffield LakeSheffield LkSheffield LakeSheffield LkDetroitZIP Code 44054ZIP 44054Sheffield-Sheffield Lake City School DistrictSheffield-Sheffield Lk12.461852%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%15,06415.1k491.436691%1.436691%1.4%911.436691%1.436691%1.4%911.318660%1.318660%1.3%5,693501.259843%1.259843%1.3%1121.199914%1.199914%1.2%112
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#47

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 Lake, selected other county subdivisions in the United States, and entities that contain Sheffield Lake
Female
Male
1x0x1xFM#1, CharlotteDetroitLorainBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeUnited StatesOhioNE DallasHoustonClevelandHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinZIP 44054AtlantaFort WorthPhoenixChicagoSheffield LkSheffield LkAlbuquerqueWashingtonSheffield-Sheffield LkSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%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-1.000000x1.073598x1.073598x1.07x7.206%7.21%7.736%7.74%-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-1.000000x1.067622x1.067622x1.07x7.921%7.92%8.457%8.46%-1.000000x-1.000000x1.067622x1.067622x1.07x7.921%7.92%8.457%8.46%-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-1.000000x1.003929x1.003929x1.00x28.944%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#48

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 Lake, selected other county subdivisions in the United States, and entities that contain Sheffield Lake
Female
Male
1x0x1x2xFM#El PasoLorainSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthClevelandOhioOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitSheffield-Sheffield LkZIP 44054Sheffield LkSheffield 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-1.000000x1.557664x1.557664x1.56x4.733%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%-1.400951x-1.400951x1.40x1.000000x1.000000x1.458%1.46%1.041%1.04%-1.700503x-1.700503x1.70x1.000000x1.000000x1.791%1.79%1.053%1.05%-1.700503x-1.700503x1.70x1.000000x1.000000x1.791%1.79%1.053%1.05%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
Ohio
County:
Lorain
Metro Area:
Cleveland Area
City:
Sheffield Lake
ZIP Code:
44054
Unified School District:
Sheffield-Sheffield Lake
Congressional District:
OH-9
State Senate District:
OH-13
State House District:
OH-56
Nearby Townships:
Amherst, Elyria, Sheffield